€•      }”(Œchannel”Œconda.models.channel”ŒChannel”“”)”}”(Œscheme”Œhttps”Œauth”NŒlocation”Œconda.anaconda.org”Œtoken”NŒname”Œconda-forge”Œplatform”Œnoarch”Œpackage_filename”NŒ_Channel__canonical_name”hubŒurl_w_subdir”Œ-https://conda.anaconda.org/conda-forge/noarch”Œurl_w_credentials”Œ-https://conda.anaconda.org/conda-forge/noarch”Œcache_path_base”Œ/opt/conda/pkgs/cache/62c98390”Œfn”Œcurrent_repodata.json”Œ_package_records”]”(Œconda.models.records”ŒPackageRecord”“”)”}”(hŒ_ipython_minor_entry_point”Œversion”Œ8.7.0”Œbuild”Œ
h0c17e10_0”Œbuild_number”K hhŒsubdir”Œnoarch”hŒ1_ipython_minor_entry_point-8.7.0-h0c17e10_0.conda”Œmd5”Œ 8a63fb4d63db7b245ecf3c6f907935ff”Œlegacy_bz2_md5”NŒurl”Œ_https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-h0c17e10_0.conda”Œsha256”Œ@c9dde2aba3205f4c6bae1a7838a4de2db5b771f95031320b5003e554d1b91379”Œarch”NhNŒdepends”Œpython 3.11.*”…”Œ
constrains”Œipython ==8.7.0.*”…”Œnoarch”Œconda.models.enums”Œ
NoarchType”“”Œpython”…”R”Œlicense”ŒBSD-3-Clause”Œlicense_family”ŒBSD”Œ	timestamp”GAØáïí   Œsize”MJŒ_PackageRecord__initd”ˆubh)”}”(hŒ_ipython_minor_entry_point”h#Œ8.7.0”h%Œ
h3b92ee0_0”h'K hhh(h)hŒ1_ipython_minor_entry_point-8.7.0-h3b92ee0_0.conda”h+Œ 63e1a8edc73d7618457a8679f71227e4”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-h3b92ee0_0.conda”h0Œ@b47f084f4edf7128e185bde42d790556d3336058b8abfcd74f85b5f519476c5c”h2NhNh3Œpython 3.8.*”…”h6Œipython ==8.7.0.*”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØáïí6{hEMMhFˆubh)”}”(hŒ_ipython_minor_entry_point”h#Œ8.7.0”h%Œ
h8cf3c4a_0”h'K hhh(h)hŒ1_ipython_minor_entry_point-8.7.0-h8cf3c4a_0.conda”h+Œ 0b7821445f86bbfc5b75ef9d812453c6”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-h8cf3c4a_0.conda”h0Œ@7c6f0748101ae31360b3a84727aceb246afd9fbb0eca17b1ebfe13ae58e62bf8”h2NhNh3Œpython 3.9.*”…”h6Œipython ==8.7.0.*”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØáïò¯
=hEMJhFˆubh)”}”(hŒ_ipython_minor_entry_point”h#Œ8.7.0”h%Œ
hb6b4a82_0”h'K hhh(h)hŒ1_ipython_minor_entry_point-8.7.0-hb6b4a82_0.conda”h+Œ e3f19766a5bf40d587e507670a9e2cf8”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-hb6b4a82_0.conda”h0Œ@3a4e5f4ff6c1baaffdb70745f0d2267c1c8e92d518fcdf0ac400a02cd125d136”h2NhNh3Œpython 3.10.*”…”h6Œipython ==8.7.0.*”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØáïíªÀƒhEMIhFˆubh)”}”(hŒ_pypdf-with-full-tests”h#Œ3.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/_pypdf-with-full-tests-3.9.1-pyhd8ed1ab_0.conda”h+Œ 281dc27c5914d2c0b7487e17465fc101”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/_pypdf-with-full-tests-3.9.1-pyhd8ed1ab_0.conda”h0Œ@f91b36b642914ed0bef91a6a422269b158724818931db43a68492bbfc8b7ffdb”h2NhNh3(Œpypdf >=3.9.1,<3.9.2.0a0”Œ$pypdf-with-crypto >=3.9.1,<3.9.2.0a0”Œ"pypdf-with-full >=3.9.1,<3.9.2.0a0”Œ#pypdf-with-image >=3.9.1,<3.9.2.0a0”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙs ƒhEJØz; hFˆubh)”}”(hŒ_rdflib-tests”h#Œ6.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&_rdflib-tests-6.3.2-pyhd8ed1ab_0.conda”h+Œ dae70e1ba2114402041a87e6badf6d07”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/_rdflib-tests-6.3.2-pyhd8ed1ab_0.conda”h0Œ@2e9498ea7d7409829a8d7c4006e3f52e7b39f642d70321bd8decd12647e1911a”h2NhNh3Œpython >=3.7”Œ"rdflib-with-all >=6.3.2,<6.3.3.0a0”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ ðÉ©ühEJ„/ hFˆubh)”}”(hŒ_rich-with-tests”h#Œ13.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*_rich-with-tests-13.4.2-pyhd8ed1ab_0.conda”h+Œ 1054886d1f5dd387f9144c2479ffeea8”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/_rich-with-tests-13.4.2-pyhd8ed1ab_0.conda”h0Œ@18e58041dc1b28e18159ff3bfdfb65b0597d80f0f38664eecda43c6b7e419c9c”h2NhNh3Œpython >=3.7.0”Œrich >=13.4.2,<13.4.3.0a0”Œ&rich-with-jupyter >=13.4.2,<13.4.3.0a0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ!ÕÃÙÊÁhEM¦ôhFˆubh)”}”(hŒ_robotframework_tests”h#Œ6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,_robotframework_tests-6.1-pyhd8ed1ab_0.conda”h+Œ 1437b225c9e34513c0fa408d99c88e13”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/_robotframework_tests-6.1-pyhd8ed1ab_0.conda”h0Œ@d1b4e6ffb70dcf408d3085a358f259664553a413e2829dae8e3cc36ac1daa8bd”h2NhNh3Œpython >=3.6”Œrobotframework 6.1 pyhd8ed1ab_0”†”h9h?h@Œ
Apache-2.0”hDGAÙ!ÃÚµ?}hEJû?
 hFˆubh)”}”(hŒ$_sysroot_linux-64_curr_repodata_hack”h#Œ3”h%Œ
h5bd9786_0”h'K hhh(h)hŒ7_sysroot_linux-64_curr_repodata_hack-3-h5bd9786_0.conda”h+Œ e82d9f8b517922ddd8b369be52a3d519”h-Nh.Œehttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h5bd9786_0.conda”h0Œ@9e763899676cdecfaa668b76b3d9cde7e6317857c1acb86ad297f0db0ac29567”h2NhNh3)h9h<Œgeneric”…”R”h@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙ'°XhEM7ZhFˆubh)”}”(hŒ$_sysroot_linux-64_curr_repodata_hack”h#h²h%Œh69a702a_13”h'Khhh(h)hŒ8_sysroot_linux-64_curr_repodata_hack-3-h69a702a_13.conda”h+Œ f6ce7955b53ae1ca83144adb3be9c600”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h69a702a_13.conda”h0Œ@546e4eb1cbd822a66b363ec3fbdcc4fcc53853bcab57674cb46b8f3209b856f2”h2NhNh3)h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙZËC–hEMEQhFˆubh)”}”(hŒ)_sysroot_linux-aarch64_curr_repodata_hack”h#h²h%Œ
h43d7e78_0”h'K hhh(h)hŒ<_sysroot_linux-aarch64_curr_repodata_hack-3-h43d7e78_0.conda”h+Œ 8a26bbe44df0aac5964c37340449e9b2”h-Nh.Œjhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-aarch64_curr_repodata_hack-3-h43d7e78_0.conda”h0Œ@1bd6b6870bf1f083dfbe7286ac3c216a6f55e3315f409c415fe8d54553efb6f6”h2NhNh3)h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙ'©5‘hhEMuZhFˆubh)”}”(hŒ)_sysroot_linux-aarch64_curr_repodata_hack”h#Œ4”h%Œh57d6b7b_13”h'Khhh(h)hŒ=_sysroot_linux-aarch64_curr_repodata_hack-4-h57d6b7b_13.conda”h+Œ 56cba32729a63e97bfb1ef958940ff07”h-Nh.Œkhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-aarch64_curr_repodata_hack-4-h57d6b7b_13.conda”h0Œ@45eaba02c457c78d1bb2ff2cf90bb3f6f9c25de40f43d83936a58e349f247a2b”h2NhNh3)h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙNÅ‘hhEM?QhFˆubh)”}”(hŒ)_sysroot_linux-ppc64le_curr_repodata_hack”h#h²h%Œ
h395ec9b_0”h'K hhh(h)hŒ<_sysroot_linux-ppc64le_curr_repodata_hack-3-h395ec9b_0.conda”h+Œ de90fc77464000efd8a27ca4addaa067”h-Nh.Œjhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-ppc64le_curr_repodata_hack-3-h395ec9b_0.conda”h0Œ@d52f63daf9c0f7901e3cd1c6404e09d7d56a53f0b380e5c5430f16868644ec55”h2NhNh3)h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙ'±Ú-hEMùZhFˆubh)”}”(hŒ)_sysroot_linux-ppc64le_curr_repodata_hack”h#hÔh%Œh43410cf_13”h'Khhh(h)hŒ=_sysroot_linux-ppc64le_curr_repodata_hack-4-h43410cf_13.conda”h+Œ 97f3b387aebd6ff92b4b5057422eedf6”h-Nh.Œkhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-ppc64le_curr_repodata_hack-4-h43410cf_13.conda”h0Œ@8fa57b6b086cd0f708d4ca100efa66dd7958afff25604c2726f0fa4356a4f30b”h2NhNh3)h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙG ÅhEM%QhFˆubh)”}”(hŒ'_sysroot_linux-s390x_curr_repodata_hack”h#h²h%Œ
hc882541_0”h'K hhh(h)hŒ:_sysroot_linux-s390x_curr_repodata_hack-3-hc882541_0.conda”h+Œ ae9d648244465f92cf57501c4dfc21d4”h-Nh.Œhhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-s390x_curr_repodata_hack-3-hc882541_0.conda”h0Œ@c22bb9cc21628c6b8e7869e0fce0beade7ed7391a2cc08a789582007fe58ae25”h2NhNh3)h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙ'»ˆQìhEM`ZhFˆubh)”}”(hŒ'_sysroot_linux-s390x_curr_repodata_hack”h#hÔh%Œhc7dad61_13”h'Khhh(h)hŒ;_sysroot_linux-s390x_curr_repodata_hack-4-hc7dad61_13.conda”h+Œ 065d603edb26493dc53325f097f98510”h-Nh.Œihttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-s390x_curr_repodata_hack-4-hc7dad61_13.conda”h0Œ@55418965637c16a92c4c4de6167b79d667d4867cfcbeea0bfb1c09317afd2880”h2NhNh3)h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙQ€õÃhEM@QhFˆubh)”}”(hŒ
aalto-boss”h#Œ1.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#aalto-boss-1.8.0-pyhd8ed1ab_0.conda”h+Œ f951f09f72d488e596ccba10a7ecf8de”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/aalto-boss-1.8.0-pyhd8ed1ab_0.conda”h0Œ@1e469a585af7609e8d3e14acd82be0245998790d15173430e5193ae51618ecf7”h2NhNh3(Œcython”Œgpy >=1.10.0”Œmatplotlib-base >=3.0”Œnumpy <=1.23.5”Œpython >=3.5”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒOTHER”hDGAÙFöÔ(öhEJÑ- hFˆubh)”}”(hŒ	abi3audit”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"abi3audit-0.0.7-pyhd8ed1ab_0.conda”h+Œ 68908fcc8fe594aace530770fc2629f7”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/abi3audit-0.0.7-pyhd8ed1ab_0.conda”h0Œ@d46200cdc6f8df78456e1636716cf3c15cfe679c58cad48d6c4e248269f8064f”h2NhNh3(Œabi3info >=0.0.5”Œkaitaistruct >=0.10,<1.dev0”Œpackaging >=21.3,<22.dev0”Œpefile >=2022.5.30”Œpyelftools >=0.29”Œpython >=3.10”Œrequests >=2.28.1,<2.29.dev0”Œ!requests-cache >=0.9.6,<0.10.dev0”Œrich >=12.5.1,<12.7.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØæêchEMµuhFˆubh)”}”(hŒabi3info”h#Œ2023.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$abi3info-2023.6.2-pyhd8ed1ab_0.conda”h+Œ 03fdf3ed66cf39be7ecca850346f3482”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/abi3info-2023.6.2-pyhd8ed1ab_0.conda”h0Œ@c22d7b2e1379fffe94037abbd36243a2cf32f29beafa934450e44e554b318619”h2NhNh3Œpython >=3.8”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙØØžéyhEM»WhFˆubh)”}”(hŒablang”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒablang-0.2.3-pyhd8ed1ab_0.conda”h+Œ a0cf3f39572944e1e964c8ebf52a070d”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ablang-0.2.3-pyhd8ed1ab_0.conda”h0Œ@ed3d5523b1242cc6e6a3c730fe19287e69d3d0ea006bf4299b64be0c0df427d3”h2NhNh3(Œfairseq”Œnumba”Œnumpy”Œpython >=3.6”Œpytorch >=1.6”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙˆÄNÈ´hEM.EhFˆubh)”}”(hŒablog”h#Œ0.11.4.post1”h%Œpyh6ff6d48_0”h'K hhh(h)hŒ%ablog-0.11.4.post1-pyh6ff6d48_0.conda”h+Œ d3c3396b7213a39de61b78dcf74d750d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/ablog-0.11.4.post1-pyh6ff6d48_0.conda”h0Œ@c5ecf57e64878ad377a708d300c5992adc2b5016046e8f7730aa8f5d4cea6572”h2NhNh3(Œdocutils”Œfeedgen”Œinvoke”Œjinja2”Œmyst-parser”Œnbsphinx”Œ	packaging”Œpandoc”Œpython >=3.9”Œpython-dateutil”Œsphinx >=5.0”Œwatchdog”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙáL9‡hEMÐÁhFˆubh)”}”(hŒ
about-time”h#Œ4.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#about-time-4.2.1-pyhd8ed1ab_0.conda”h+Œ 0db4f019c8bbef731fd060d4d596a042”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/about-time-4.2.1-pyhd8ed1ab_0.conda”h0Œ@b8bcb7881ca3b23b6d05fba77a8163f022bfd03bfad14ad953a0f9e54346ff91”h2NhNh3Œpython >=3.7,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØè«áÊÁhEM»>hFˆubh)”}”(hŒabsl-py”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ absl-py-1.4.0-pyhd8ed1ab_0.conda”h+Œ dd5eed01874c75bebef810a2faec673e”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/absl-py-1.4.0-pyhd8ed1ab_0.conda”h0Œ@1cc3eb4ee86271dfcfb0673cb7aa2632e43024b7f1324ca23689dcfbe0631b2f”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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accelerate”h#Œ0.20.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$accelerate-0.20.3-pyhd8ed1ab_0.conda”h+Œ 083d97698177afbc53c65aaea2b52873”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/accelerate-0.20.3-pyhd8ed1ab_0.conda”h0Œ@75aa4b4f6d11f724617221a8ccee01d6aa8ab56b68b596a0bf106e78aefee0c8”h2NhNh3(Œnumpy >=1.17”Œpackaging >=20.0”Œpsutil”Œpython >=3.7”Œpytorch >=1.6.0”Œpyyaml”t”h9h?h@Œ
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ase ~=3.18”Œmatplotlib-base ~=3.3,>=3.3.4”Œpycifrw ~=4.4”Œpymatgen >=2022.1.20”Œpymysql ~=0.9.3”Œpython”Œseekpath ~=1.9,>=1.9.3”Œspglib ~=2.0,<3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ4§éxÕhEMähFˆubh)”}”(hŒaiida-core.notebook”h#Œ2.3.1”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ,aiida-core.notebook-2.3.1-pyh1a96a4e_0.conda”h+Œ 98cab74322b6409889fe5958db965fbe”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/aiida-core.notebook-2.3.1-pyh1a96a4e_0.conda”h0Œ@fe5e2afa51340487968efe2abc2f6ede82b17d31fd1ea94b543b4ceacad42330”h2NhNh3(Œaiida-core 2.3.1 pyh1a96a4e_0”Œjupyter ~=1.0”Œjupyter_client ~=6.1,<6.1.13”Œnotebook ~=6.1,>=6.1.5”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ4ªéÊÁhEM½hFˆubh)”}”(hŒaiida-core.rest”h#Œ2.3.1”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ(aiida-core.rest-2.3.1-pyh1a96a4e_0.conda”h+Œ 4f324bf5fd9fa61d04a493e9b69d9cd0”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/aiida-core.rest-2.3.1-pyh1a96a4e_0.conda”h0Œ@aee61ecacbe80040a67318b38fb813a4f05c6b6765561c214d8d1ad345a0c99d”h2NhNh3(Œaiida-core 2.3.1 pyh1a96a4e_0”Œflask ~=2.0”Œflask-cors ~=3.0”Œflask-restful ~=0.3.7”Œpyparsing ~=2.4”Œpython”Œpython-memcached ~=1.59”Œseekpath ~=1.9,>=1.9.3”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ4­ë•hEM»hFˆubh)”}”(hŒaiida-core.services”h#Œ2.3.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ*aiida-core.services-2.3.1-hd8ed1ab_0.conda”h+Œ 013dcf8f56e0e6aea044b2ded5dde7ee”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/aiida-core.services-2.3.1-hd8ed1ab_0.conda”h0Œ@4aba23b3ab2a3d04b54a4ebbe7bb0288e74a0182f16c45a6bfbd17182ebbcf82”h2NhNh3Œpostgresql >=9.6”Œrabbitmq-server >=3.7,<3.8.15”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ4¤:^5hEMhFˆubh)”}”(hŒ
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hd8ed1ab_0”h'K hhh(h)hŒ'aiida-fleur.code-2.0.0-hd8ed1ab_0.conda”h+Œ c8cd3fc0a6b471f91c8b27203398029a”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/aiida-fleur.code-2.0.0-hd8ed1ab_0.conda”h0Œ@175e093a36bf9f13b461d2dcad82148eb05039c5c6275e7aa6c7e873fdecc6dc”h2NhNh3Œfleur >=1,<7”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ²ØJhEMhFˆubh)”}”(hŒaiida-fleur.meta”h#Œ2.0.0”h%Œ
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aiosmtplib”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#aiosmtplib-2.0.1-pyhd8ed1ab_0.conda”h+Œ 3b6ffca5d3329598655dce442a761242”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/aiosmtplib-2.0.1-pyhd8ed1ab_0.conda”h0Œ@a2cda95009d930aa5f4a063179a766bb560acd5d3e1fc0584b1c5a3781bb7777”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØï+]u‘hhEMtphFˆubh)”}”(hŒ	aiosqlite”h#Œ0.19.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#aiosqlite-0.19.0-pyhd8ed1ab_0.conda”h+Œ c60a47f9f29057417165a8af579396a8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.19.0-pyhd8ed1ab_0.conda”h0Œ@2f4b4d70244be67f49db02fca06ac5449593fe5c523791d5185d1cbc807a5af6”h2NhNh3Œpython >=3.6”Œtyping-extensions >=3.7.2”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ2°ž—hEMðJhFˆubh)”}”(hŒaiotube”h#Œ1.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ aiotube-1.7.2-pyhd8ed1ab_0.conda”h+Œ 80f69c1cc852cdfbaba06fb9ddb1e401”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/aiotube-1.7.2-pyhd8ed1ab_0.conda”h0Œ@b414468e97a3822097ed4acdfde111801dc095c1e7cc09c7dcfb6fc6155a6249”h2NhNh3(Œpython >=3.6”Œpytube”Œrequests”Œurllib3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÞà?xÕhEM#:hFˆubh)”}”(hŒairflow-code-editor”h#Œ7.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,airflow-code-editor-7.2.1-pyhd8ed1ab_0.conda”h+Œ fe148a566b30774fa2fe0d2c2b53bba1”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/airflow-code-editor-7.2.1-pyhd8ed1ab_0.conda”h0Œ@836b75889395668ab0c07b7a7c246e91175811ab38326ee60a7d3d954816ed4a”h2NhNh3Œapache-airflow”Œfs”Œpython >=3.7”‡”h9h?h@Œ
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git >=2.37”Œgitpython >=3.1.13”Œjsonschema >=4.0.0”Œpackaging >=21.3”Œpexpect >=4.8.0”Œpip”Œpre-commit >=2.20.0”Œpython >=3.7”Œpywin32-on-windows >=0.1.0”Œpyyaml >=6.0”Œrequests >=2.28”Œvalidators >=0.18.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÕyº^hEJ‡ hFˆubh)”}”(hŒalbum-runner”h#Œ0.5.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%album-runner-0.5.5-pyhd8ed1ab_0.conda”h+Œ 65fc369b2c9d55bf8837228e09328a36”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/album-runner-0.5.5-pyhd8ed1ab_0.conda”h0Œ@552a4111ea9a7aafe953cdff6faaba032a0e76ebd658dcb182b80cbff4e2e317”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ?ôÊŸ¾hEM®DhFˆubh)”}”(hŒalbumentations”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'albumentations-1.3.1-pyhd8ed1ab_0.conda”h+Œ aecee4ec6970d666fe63a308467ebb59”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/albumentations-1.3.1-pyhd8ed1ab_0.conda”h0Œ@4c52a134b9fcc19a083a993491f5b3eb26209ebebe11a8b8cdc6441fce3a4802”h2NhNh3(Œnumpy >=1.11.1”Œopencv >=4.1.1”Œpython >=3.7”Œpyyaml”Œqudida >=0.0.4”Œscikit-image >=0.16.1”Œscipy >=1.1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ!ÇZlí‘hEJ›| hFˆubh)”}”(hŒ	alchemlyb”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"alchemlyb-2.0.1-pyhd8ed1ab_0.conda”h+Œ ed51cc8544db1326e3a3b1fa039cf75f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/alchemlyb-2.0.1-pyhd8ed1ab_0.conda”h0Œ@ae162513f03cda32e147ced328c1434ebf0772d1dbba9c5d3115c6f2af453ac4”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas >=1.4”Œ
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watchfiles”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ ÔB¾—hEM8yhFˆubh)”}”(hŒ
aodhclient”h#Œ3.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#aodhclient-3.3.0-pyhd8ed1ab_0.conda”h+Œ 4e1c0b9ac4ff809331d3e71f848d2522”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/aodhclient-3.3.0-pyhd8ed1ab_0.conda”h0Œ@b1252cdd24e6903d6afa7a35fece32178e150b042e8b59d7d75aa242eea0fec8”h2NhNh3(Œcliff >1.16.0”Œkeystoneauth1 >=1.0.0”Œosc-lib >=1.0.1”Œoslo.i18n >=1.5.0”Œoslo.serialization >=1.4.0”Œoslo.utils >=2.0.0”Œosprofiler >=1.4.0”Œ	pbr >=1.4”Œ	pyparsing”Œpython >=3.8”t”h9h?h@Œ
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2023.01.01”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ2aoo-mozilla-en-dict-au-2023.01.01-hd8ed1ab_0.conda”h+Œ 289fd0be243aff35d0c273960f7baa07”h-Nh.Œ`https://conda.anaconda.org/conda-forge/noarch/aoo-mozilla-en-dict-au-2023.01.01-hd8ed1ab_0.conda”h0Œ@bf96195fedcfaca8c4f655b938008fbf1012cb3fb1b073cdb9cbfbcab63c94d8”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGAØòSF?|îhEJXÍ hFˆubh)”}”(hŒaoo-mozilla-en-dict-ca”h#Œ
2023.01.01”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ2aoo-mozilla-en-dict-ca-2023.01.01-hd8ed1ab_0.conda”h+Œ 60b3879a1d6496886e2a57833d431d8e”h-Nh.Œ`https://conda.anaconda.org/conda-forge/noarch/aoo-mozilla-en-dict-ca-2023.01.01-hd8ed1ab_0.conda”h0Œ@e5d63eb52c8e7bef6941912627cb6bbf69ae09f2a4cee369fb8ded00ef771e3f”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGAØòSGžéyhEJ§Ê hFˆubh)”}”(hŒaoo-mozilla-en-dict-gb”h#Œ
2023.01.01”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ2aoo-mozilla-en-dict-gb-2023.01.01-hd8ed1ab_0.conda”h+Œ 11f8c5ac6a9b675e3f9dc104d542b1e5”h-Nh.Œ`https://conda.anaconda.org/conda-forge/noarch/aoo-mozilla-en-dict-gb-2023.01.01-hd8ed1ab_0.conda”h0Œ@425a842d51dd72c339f262ad8aba14bab3e8a59267153c7134ed78826fe9bce9”h2NhNh3)h9hºh@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØòSHÿ®hEJˆ hFˆubh)”}”(hŒaoo-mozilla-en-dict-us”h#Œ
2023.01.01”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ2aoo-mozilla-en-dict-us-2023.01.01-hd8ed1ab_0.conda”h+Œ 6b5dc33511564bd4556338ad624c272c”h-Nh.Œ`https://conda.anaconda.org/conda-forge/noarch/aoo-mozilla-en-dict-us-2023.01.01-hd8ed1ab_0.conda”h0Œ@859773311a7f11f0f029a39175d3af49042dc3db78cabae637d32441282ec05b”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGAØòSJr^5hEJõÉ hFˆubh)”}”(hŒaoo-mozilla-en-dict-za”h#Œ
2023.01.01”h%Œ
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Apache-2.0”hBŒApache”hDGAÙ5áHhEMIhFˆubh)”}”(hŒ apache-airflow-providers-alibaba”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9apache-airflow-providers-alibaba-2.4.0-pyhd8ed1ab_0.conda”h+Œ 4c84bde91bea950fc462d5343efcc61d”h-Nh.Œghttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-alibaba-2.4.0-pyhd8ed1ab_0.conda”h0Œ@a047b2ea9fcae7b81e005884d5f1449991cd96dfca57237d4e62cdf20d24650b”h2NhNh3Œapache-airflow >=2.4.0”Œoss2 >=2.14.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ5¯¾whEMÍThFˆubh)”}”(hŒapache-airflow-providers-amazon”h#Œ8.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8apache-airflow-providers-amazon-8.1.0-pyhd8ed1ab_0.conda”h+Œ d2fbb8f644a30b7c8cad25e0379120ca”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-amazon-8.1.0-pyhd8ed1ab_0.conda”h0Œ@f3043fb25a6529a2554ddcc845aa9c2a4b31e1d28ff561fa8e6a3bdca6c0e9dd”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œasgiref”Œboto3 >=1.24.0”Œflask >=1.0.4,<2.3”Œjsonpath-ng >=1.5.3”Œmypy-boto3-appflow >=1.24.0”Œ!mypy-boto3-redshift-data >=1.24.0”Œmypy-boto3-s3 >=1.24.0”Œmypy_boto3_rds >=1.24.0”Œpython >=3.7”Œredshift_connector >=2.0.888”Œsqlalchemy-redshift >=0.8.6”Œwatchtower >=2.0.1,<2.1.dev0”Œwerkzeug >=1.0,<2.3”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ5Á™šhEJK hFˆubh)”}”(hŒ$apache-airflow-providers-apache-beam”h#Œ5.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ=apache-airflow-providers-apache-beam-5.1.0-pyhd8ed1ab_0.conda”h+Œ d729044ef991e40bd1c8dca49f917035”h-Nh.Œkhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-beam-5.1.0-pyhd8ed1ab_0.conda”h0Œ@769dfcd2f6b1dd77a3762a940e8fdcbab58bf7f38a3e461bb13f5e82e0bae8b6”h2NhNh3Œapache-airflow >=2.4.0”Œapache-beam >=2.47.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ5#—;dhEM
chFˆubh)”}”(hŒ)apache-airflow-providers-apache-cassandra”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒBapache-airflow-providers-apache-cassandra-3.2.0-pyhd8ed1ab_0.conda”h+Œ 6a3ed94ab0970ad1df49d1ea624254df”h-Nh.Œphttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-cassandra-3.2.0-pyhd8ed1ab_0.conda”h0Œ@109e3c3f91ce3fed3bb47df2eadeb3520f05bcd746a63ecaf7bd6a7a4a57900f”h2NhNh3Œapache-airflow >=2.4.0”Œcassandra-driver >=3.13.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ52îÙhEM}IhFˆubh)”}”(hŒ%apache-airflow-providers-apache-drill”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>apache-airflow-providers-apache-drill-2.4.0-pyhd8ed1ab_0.conda”h+Œ d95525e10a652087f0d9e4b4613a7d34”h-Nh.Œlhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-drill-2.4.0-pyhd8ed1ab_0.conda”h0Œ@29ceaa1630fde960b9e3ea3cb3c2f24163ecf801f3152f7a7099120b2da8940d”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpython >=3.7”Œsqlalchemy-drill >=1.1.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ5:&éyhEMwDhFˆubh)”}”(hŒ%apache-airflow-providers-apache-druid”h#Œ3.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>apache-airflow-providers-apache-druid-3.4.0-pyhd8ed1ab_0.conda”h+Œ 561f71235bfb5516f115e322bb75487d”h-Nh.Œlhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-druid-3.4.0-pyhd8ed1ab_0.conda”h0Œ@a72cc68bebe1e3bb6b8175f1960b627a243734e22564fb3f86ac187cebecfe42”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpydruid >=0.4.1”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ5Iì“hEMeUhFˆubh)”}”(hŒ$apache-airflow-providers-apache-hdfs”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ=apache-airflow-providers-apache-hdfs-4.0.0-pyhd8ed1ab_0.conda”h+Œ be13bb533d2d83eedc252bdc32884573”h-Nh.Œkhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-hdfs-4.0.0-pyhd8ed1ab_0.conda”h0Œ@69a9834004dc15c38f209e300ae5499063182b4e72bd4c0ad242dca4c850b9a1”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”Œpython-hdfs >=2.0.4”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ5R3SøhEM‡IhFˆubh)”}”(hŒ%apache-airflow-providers-apache-kylin”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>apache-airflow-providers-apache-kylin-3.2.0-pyhd8ed1ab_0.conda”h+Œ a152a564039936e5523abff4f5f2440a”h-Nh.Œlhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-kylin-3.2.0-pyhd8ed1ab_0.conda”h0Œ@f4253e1c76b7ed584b9e55584ebcd05a6860d3af709250d00dc47033026cf660”h2NhNh3Œapache-airflow >=2.4.0”Œkylinpy >=2.6”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ5jòÐåhEMGhFˆubh)”}”(hŒ$apache-airflow-providers-apache-livy”h#Œ3.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ=apache-airflow-providers-apache-livy-3.5.0-pyhd8ed1ab_0.conda”h+Œ 3bbaae23f61b3dc8273f88165ef0c820”h-Nh.Œkhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-livy-3.5.0-pyhd8ed1ab_0.conda”h0Œ@c9e82a75a1d9f273fb45d9d35edf7e557b9db62f3fe2d9bb8eede7308892d208”h2NhNh3(Œaiohttp”Œapache-airflow >=2.4.0”Œapache-airflow-providers-http”Œasgiref”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙOÌl›¦hEMM^hFˆubh)”}”(hŒ#apache-airflow-providers-apache-pig”h#Œ4.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ<apache-airflow-providers-apache-pig-4.1.0-pyhd8ed1ab_0.conda”h+Œ e1b760b4d208a04e3999c0d53102dc0c”h-Nh.Œjhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-pig-4.1.0-pyhd8ed1ab_0.conda”h0Œ@aacae05fb67fd60185c129b8764ef702118d83b4759c4b5e81b82446a94399ad”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙOàŠÐåhEM¨EhFˆubh)”}”(hŒ%apache-airflow-providers-apache-pinot”h#Œ4.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>apache-airflow-providers-apache-pinot-4.1.0-pyhd8ed1ab_0.conda”h+Œ 0bb8f4635e736bdbfb972e305859247f”h-Nh.Œlhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-pinot-4.1.0-pyhd8ed1ab_0.conda”h0Œ@94cb4df5eb608c15281945302b1f35aab799911912664fdf3a9c1f72fba42f99”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpinotdb >0.4.7”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙOí;…hEMÌIhFˆubh)”}”(hŒ%apache-airflow-providers-apache-spark”h#Œ4.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>apache-airflow-providers-apache-spark-4.1.0-pyhd8ed1ab_0.conda”h+Œ 37819374deefdfaaf219c3739508de47”h-Nh.Œlhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-spark-4.1.0-pyhd8ed1ab_0.conda”h0Œ@355905aa56fd16b8b311dbc17e9bc3336de1df618e6c6a35cbea1a454ba456f7”h2NhNh3Œapache-airflow >=2.4.0”Œpyspark”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙOîô9XhEMùphFˆubh)”}”(hŒ%apache-airflow-providers-apache-sqoop”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>apache-airflow-providers-apache-sqoop-3.2.0-pyhd8ed1ab_0.conda”h+Œ 0795ddf2d7d82fd6e132cd4983fc2cd6”h-Nh.Œlhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-apache-sqoop-3.2.0-pyhd8ed1ab_0.conda”h0Œ@3da0bce9afa82d91e600af31ad80cdf80c83e178af8c8b17a021f2bd5790d4cb”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙPVixÕhEMOQhFˆubh)”}”(hŒapache-airflow-providers-asana”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7apache-airflow-providers-asana-2.2.0-pyhd8ed1ab_0.conda”h+Œ 716f0fcaaf48185c75ee104774b5ec39”h-Nh.Œehttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-asana-2.2.0-pyhd8ed1ab_0.conda”h0Œ@d9557a862b5fd33d6545c5de6e21462871a7f9c754c37e49ad0519854f921667”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”Œpython-asana >=0.10”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙP‡KÇhEMçJhFˆubh)”}”(hŒapache-airflow-providers-celery”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8apache-airflow-providers-celery-3.2.0-pyhd8ed1ab_0.conda”h+Œ 86b4cab60faaf65c3aff42c52f13185a”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-celery-3.2.0-pyhd8ed1ab_0.conda”h0Œ@c174b9b501dd8f59a171576a324b1a0f0d23560550392fa8b8485ee81b9ddd01”h2NhNh3(Œapache-airflow >=2.4.0”Œcelery >=5.2.3,<6”Œflower >=1.0.0”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙP"9xÕhEM×>hFˆubh)”}”(hŒ!apache-airflow-providers-cloudant”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:apache-airflow-providers-cloudant-3.2.0-pyhd8ed1ab_0.conda”h+Œ b46ee1dd25c94ddbe0330b41c5ae6e5a”h-Nh.Œhhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-cloudant-3.2.0-pyhd8ed1ab_0.conda”h0Œ@6268c857b807dd18c75ae35ffda713cb9981294ca15729cbff4a557fd8104269”h2NhNh3Œapache-airflow >=2.4.0”Œcloudant >=2.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙP æhEM‚?hFˆubh)”}”(hŒ(apache-airflow-providers-cncf-kubernetes”h#Œ7.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒAapache-airflow-providers-cncf-kubernetes-7.0.0-pyhd8ed1ab_0.conda”h+Œ 07a3b0a97cc69557b2f003af9e4f8405”h-Nh.Œohttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-cncf-kubernetes-7.0.0-pyhd8ed1ab_0.conda”h0Œ@d74848c095ed276721cf50151a870d809e050d66796cd3ea0c36b525ec5a6fb4”h2NhNh3(Œapache-airflow >=2.4.0”Œasgiref >=3.5.2”Œcryptography >=2.0.0”Œ kubernetes_asyncio >=18.20.1,<25”Œpython >=3.7”Œpython-kubernetes >=21.7.0,<24”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙP/û"ÑhEM+½hFˆubh)”}”(hŒ#apache-airflow-providers-common-sql”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ<apache-airflow-providers-common-sql-1.5.1-pyhd8ed1ab_0.conda”h+Œ 6bc3cde9d27c9d9f6b63b3b2333d72a0”h-Nh.Œjhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-common-sql-1.5.1-pyhd8ed1ab_0.conda”h0Œ@b90938ae34e906e70c8d663ec18d586ea68cdf9394de81dd528dcde762814d90”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”Œsqlparse >=0.4.2”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ–&éyhEMéwhFˆubh)”}”(hŒ#apache-airflow-providers-databricks”h#Œ4.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ<apache-airflow-providers-databricks-4.1.0-pyhd8ed1ab_0.conda”h+Œ 9c9d481214cf78a43d2851be618d7776”h-Nh.Œjhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-databricks-4.1.0-pyhd8ed1ab_0.conda”h0Œ@97d7fa50097dc51f5f96a0f22146428196c1037f7217e56391cd526954559d37”h2NhNh3(Œaiohttp >=3.6.3,<4”Œapache-airflow >=2.3.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œ'databricks-sql-connector >=2.0.0,<3.0.0”Œpython >=3.7”Œrequests >=2.27,<3”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙß©MÂhEM‚™hFˆubh)”}”(hŒ apache-airflow-providers-datadog”h#Œ3.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9apache-airflow-providers-datadog-3.3.0-pyhd8ed1ab_0.conda”h+Œ 4408bd3e1be0a42c790680d15b3377e1”h-Nh.Œghttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-datadog-3.3.0-pyhd8ed1ab_0.conda”h0Œ@75d546cf9212f81cf13d81b0cf59032a7e077e8759278b6e2557e3d5b1801c58”h2NhNh3Œapache-airflow >=2.4.0”Œdatadog >=0.14.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙZØ‰7hEM—HhFˆubh)”}”(hŒ"apache-airflow-providers-dbt-cloud”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ;apache-airflow-providers-dbt-cloud-3.2.0-pyhd8ed1ab_0.conda”h+Œ 66e670435b31c4fd12d3a4b19940d1d4”h-Nh.Œihttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-dbt-cloud-3.2.0-pyhd8ed1ab_0.conda”h0Œ@4885275d969e8051c3b1a268c152688b9d120cd9f31805d88f9ac7b5db20e862”h2NhNh3(Œaiohttp”Œapache-airflow >=2.4.0”Œapache-airflow-providers-http”Œasgiref”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙZè‘™šhEMuahFˆubh)”}”(hŒ!apache-airflow-providers-dingding”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:apache-airflow-providers-dingding-3.2.0-pyhd8ed1ab_0.conda”h+Œ 3842d2cf1e1482e8ea42dc413e624753”h-Nh.Œhhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-dingding-3.2.0-pyhd8ed1ab_0.conda”h0Œ@4c4d48d3319faa7e27c057cda7bd4b49e5d505ae5fa61f942c045f49d214dfe5”h2NhNh3Œapache-airflow >=2.4.0”Œapache-airflow-providers-http”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙZè	Û#hEMEhFˆubh)”}”(hŒ apache-airflow-providers-discord”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9apache-airflow-providers-discord-3.2.0-pyhd8ed1ab_0.conda”h+Œ 2c877f7e665f245e4d61735adea9fb22”h-Nh.Œghttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-discord-3.2.0-pyhd8ed1ab_0.conda”h0Œ@46c69f77365190a46afb1cc318fb634aa7386dc3a747ea2d7926ee0c670b9cd1”h2NhNh3Œapache-airflow >=2.4.0”Œapache-airflow-providers-http”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙZýÆÈ´hEMDhFˆubh)”}”(hŒapache-airflow-providers-docker”h#Œ3.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8apache-airflow-providers-docker-3.7.0-pyhd8ed1ab_0.conda”h+Œ 29a166fb491e20f67316b22aa974b809”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-docker-3.7.0-pyhd8ed1ab_0.conda”h0Œ@095023de1399591e0bd119c8e468f9381b5a6058351d9497678124a0b726720e”h2NhNh3(Œapache-airflow >=2.4.0”Œdocker-py >=5.0.3”Œpython >=3.7”Œpython-dotenv >=0.21.0”t”h9h?h@Œ
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Apache-2.0”hBŒApache”hDGAÙ0"ŽÙhEM<EhFˆubh)”}”(hŒ!apache-airflow-providers-openfaas”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:apache-airflow-providers-openfaas-3.2.0-pyhd8ed1ab_0.conda”h+Œ f18526cc4f8f43649bae197f74fe8bc7”h-Nh.Œhhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-openfaas-3.2.0-pyhd8ed1ab_0.conda”h0Œ@9b6a47464560246b881b088636e829763a028ba10be539cfe9dd41ac90fe08f7”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0u¡ËhEMž?hFˆubh)”}”(hŒ!apache-airflow-providers-opsgenie”h#Œ5.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:apache-airflow-providers-opsgenie-5.1.0-pyhd8ed1ab_0.conda”h+Œ 50652232d436d8b95468b7f14c121f0f”h-Nh.Œhhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-opsgenie-5.1.0-pyhd8ed1ab_0.conda”h0Œ@4b8d35eaee395f9d4175a233c9fac7e67ca51794a07aeec9ae2bd33e817f69b4”h2NhNh3Œapache-airflow >=2.4.0”Œopsgenie-sdk >=2.1.5”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0*Ÿ¾hEM±HhFˆubh)”}”(hŒapache-airflow-providers-oracle”h#Œ3.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8apache-airflow-providers-oracle-3.7.0-pyhd8ed1ab_0.conda”h+Œ 8301bfd4571282a1a7eaccdd640f37b3”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-oracle-3.7.0-pyhd8ed1ab_0.conda”h0Œ@511d8c26d125f418488ca4d3720b841bd6c270ad3beea401456b63ea97c801ac”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œoracledb >=1.0.0”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ03Ô¼jhEM>ZhFˆubh)”}”(hŒ"apache-airflow-providers-pagerduty”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ;apache-airflow-providers-pagerduty-3.2.0-pyhd8ed1ab_0.conda”h+Œ bc1772a9dba4e9ea3abc70ca2bf6bda6”h-Nh.Œihttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-pagerduty-3.2.0-pyhd8ed1ab_0.conda”h0Œ@1b82eb01debd9bb6fd8b7b7dac990ab14f37dc98d7740216beb97abe156b3ebc”h2NhNh3Œapache-airflow >=2.4.0”Œpdpyras >=4.1.2”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0?;•hEMDHhFˆubh)”}”(hŒ"apache-airflow-providers-papermill”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ;apache-airflow-providers-papermill-3.2.0-pyhd8ed1ab_0.conda”h+Œ 775c8c831b69d624705510a95be9b6cd”h-Nh.Œihttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-papermill-3.2.0-pyhd8ed1ab_0.conda”h0Œ@772807cc669635effeeecfcec569d565c7ba5255623b0a27522b23dbb74d0522”h2NhNh3(Œapache-airflow >=2.4.0”Œazure-datalake-store >=0.0.30”Œazure-storage-blob >=12.1.0”Œboto3”Œgcsfs >=0.2.0”Œpapermill >=1.2.1”Œpyarrow”Œpython >=3.7”Œrequests >=2.21.0”Œ	scrapbook”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ09T¼jhEMóAhFˆubh)”}”(hŒapache-airflow-providers-plexus”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8apache-airflow-providers-plexus-3.2.0-pyhd8ed1ab_0.conda”h+Œ 3e76051dfe51c1aa22329bd33badecbc”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-plexus-3.2.0-pyhd8ed1ab_0.conda”h0Œ@7eea82483e4e5d8f1f4bc4c96b9f68ac794914811ae08762146f701887de29b1”h2NhNh3Œapache-airflow >=2.4.0”Œarrow >=0.16.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ09Ì(öhEM–EhFˆubh)”}”(hŒ!apache-airflow-providers-postgres”h#Œ5.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:apache-airflow-providers-postgres-5.5.0-pyhd8ed1ab_0.conda”h+Œ 4982fd4e2914a028303cd8d0390180ba”h-Nh.Œhhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-postgres-5.5.0-pyhd8ed1ab_0.conda”h0Œ@07c87124a8c660f3b562a70445599853e19459721394d4cbcd8ff0f804bdd7d0”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpsycopg2-binary >=2.8.0”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0FÑº^hEM¤ShFˆubh)”}”(hŒapache-airflow-providers-presto”h#Œ5.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8apache-airflow-providers-presto-5.1.0-pyhd8ed1ab_0.conda”h+Œ c11b1bd17a11b75d1404bc1cda3aa982”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-presto-5.1.0-pyhd8ed1ab_0.conda”h0Œ@f261320f6942c7cc474c23e9fde2c75e83bafdc07a638b88cb82ad1891963668”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpandas >=0.17.1”Œpresto-python-client >=0.8.2”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0Jº¬hEM­OhFˆubh)”}”(hŒapache-airflow-providers-qubole”h#Œ3.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8apache-airflow-providers-qubole-3.4.0-pyhd8ed1ab_0.conda”h+Œ 8a482ec92b76a91d7bd3bb3a41836099”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-qubole-3.4.0-pyhd8ed1ab_0.conda”h0Œ@1e609d0c2017b468ae177e0b3803f3fda69617d97d964366ff6ad5d0f4c36981”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpython >=3.7”Œqds-sdk >=1.10.4”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0R€“uhEM›fhFˆubh)”}”(hŒapache-airflow-providers-redis”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7apache-airflow-providers-redis-3.2.0-pyhd8ed1ab_0.conda”h+Œ ca24253ef79de7af30d5b847f3b446bb”h-Nh.Œehttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-redis-3.2.0-pyhd8ed1ab_0.conda”h0Œ@ccddeb3866578b10d35609cd3c33ce18f03d7c185aa1476aa3c0091db2b8253f”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”Œredis-py >=3.2.0”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0]œ¬hEMßDhFˆubh)”}”(hŒ#apache-airflow-providers-salesforce”h#Œ5.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ<apache-airflow-providers-salesforce-5.4.0-pyhd8ed1ab_0.conda”h+Œ d8e6003a9694525edd7af625cd2bf11b”h-Nh.Œjhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-salesforce-5.4.0-pyhd8ed1ab_0.conda”h0Œ@950e9e1229c86c1250f686aeac94d1fd36758da315cc09ef4f7c6db666836918”h2NhNh3(Œapache-airflow >=2.4.0”Œpandas >=0.17.1”Œpython >=3.7”Œsimple-salesforce >=1.0.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0a¨ÔþhEM™WhFˆubh)”}”(hŒapache-airflow-providers-samba”h#Œ4.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7apache-airflow-providers-samba-4.2.0-pyhd8ed1ab_0.conda”h+Œ d2378f8a07256c7d473fb3fc05d1d7f2”h-Nh.Œehttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-samba-4.2.0-pyhd8ed1ab_0.conda”h0Œ@79d8e2d29e962be3a3575b66829d9b2aa560e1688e01402aa005f40805060512”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”Œsmbprotocol >=1.5.0”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ0r›t¼hEMûBhFˆubh)”}”(hŒ apache-airflow-providers-segment”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9apache-airflow-providers-segment-3.2.0-pyhd8ed1ab_0.conda”h+Œ 804ead0e5896cdb67ab22d45e61fd27f”h-Nh.Œghttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-segment-3.2.0-pyhd8ed1ab_0.conda”h0Œ@fd64b2b67cc753f8065e1fb65fd1571e903a29b6fee86efa1d8357f3962d9808”h2NhNh3Œanalytics-python >=1.2.9”Œapache-airflow >=2.4.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙTð[•hEMBhFˆubh)”}”(hŒ!apache-airflow-providers-sendgrid”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:apache-airflow-providers-sendgrid-3.2.0-pyhd8ed1ab_0.conda”h+Œ 86f2db49578426a03c265179b60ea7ef”h-Nh.Œhhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-sendgrid-3.2.0-pyhd8ed1ab_0.conda”h0Œ@3ba65df946ad72341a8a0f30255b6fbea90d7dd1ef2bb967d0fe98eb5e745abd”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”Œsendgrid >=6.0.0”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙQ–vÉhEMAhFˆubh)”}”(hŒapache-airflow-providers-sftp”h#Œ4.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6apache-airflow-providers-sftp-4.2.4-pyhd8ed1ab_0.conda”h+Œ df83488d659cc9e74d5291608f3b1e24”h-Nh.Œdhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-sftp-4.2.4-pyhd8ed1ab_0.conda”h0Œ@e81654afc96869daab020ee15d5c1482faa4e865b697221bd039c837826c512b”h2NhNh3Œapache-airflow >=2.3.0”Œ$apache-airflow-providers-ssh >=2.1.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙºŠ+"ÑhEMýThFˆubh)”}”(hŒ$apache-airflow-providers-singularity”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ=apache-airflow-providers-singularity-3.2.0-pyhd8ed1ab_0.conda”h+Œ da57b1b89adf24f6526f069cd6b11b64”h-Nh.Œkhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-singularity-3.2.0-pyhd8ed1ab_0.conda”h0Œ@ea9ef1821772635252e81fbb2b325ca31ef7c78b9a2177ca42dd04575e210d7e”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”Œspython >=0.0.56”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙS‹"ÑhEMÈChFˆubh)”}”(hŒapache-airflow-providers-slack”h#Œ7.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7apache-airflow-providers-slack-7.3.0-pyhd8ed1ab_0.conda”h+Œ 55ca1019cef47c477ac351175fe419c4”h-Nh.Œehttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-slack-7.3.0-pyhd8ed1ab_0.conda”h0Œ@eaeec458697acd6cc7a05c0610739b97e758952e18a8bfb3090df64d72a25f60”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpython >=3.7”Œslack-sdk >=3.0.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙQ&A%hEMÍ{hFˆubh)”}”(hŒ"apache-airflow-providers-snowflake”h#Œ4.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ;apache-airflow-providers-snowflake-4.1.0-pyhd8ed1ab_0.conda”h+Œ 02cc59dbfe2dc3221dc5be74cce5d8f9”h-Nh.Œihttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-snowflake-4.1.0-pyhd8ed1ab_0.conda”h0Œ@66af958b92a1fa02117c1f2f6c706cbdfd6535f8000c08220e4f133af804fe1c”h2NhNh3(Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpython >=3.7”Œ"snowflake-connector-python >=2.4.1”Œsnowflake-sqlalchemy >=1.1.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙQ6ÒòhEM#nhFˆubh)”}”(hŒapache-airflow-providers-sqlite”h#Œ3.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8apache-airflow-providers-sqlite-3.4.1-pyhd8ed1ab_0.conda”h+Œ 779d76010787fb3ac1c2cbdcbddcb452”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-sqlite-3.4.1-pyhd8ed1ab_0.conda”h0Œ@f291a9a63422e6d64b165c5cc460b56215f56ea5cbbea5ef08d2da9a6d372ce1”h2NhNh3Œapache-airflow >=2.4.0”Œ+apache-airflow-providers-common-sql >=1.3.1”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙš¦*~úhEMyDhFˆubh)”}”(hŒapache-airflow-providers-ssh”h#Œ3.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5apache-airflow-providers-ssh-3.7.0-pyhd8ed1ab_0.conda”h+Œ 5fbf828a5e1ed4cda33f78927db120b6”h-Nh.Œchttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-ssh-3.7.0-pyhd8ed1ab_0.conda”h0Œ@efc28f3671455e6cacdcf82d8a02d12e4991005b8b839037b160d8d276bcb757”h2NhNh3(Œapache-airflow >=2.4.0”Œparamiko >=2.6.0”Œpython >=3.7”Œsshtunnel >=0.3.2”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙQ;ºŸ¾hEM \hFˆubh)”}”(hŒ apache-airflow-providers-tableau”h#Œ4.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9apache-airflow-providers-tableau-4.2.0-pyhd8ed1ab_0.conda”h+Œ a0ce7c1623ad0fba5331494349cdf85b”h-Nh.Œghttps://conda.anaconda.org/conda-forge/noarch/apache-airflow-providers-tableau-4.2.0-pyhd8ed1ab_0.conda”h0Œ@cc19c5b15db72cfc1227e185fb7ba75adcbdc497a730e3cf0b8a30c0842cc50e”h2NhNh3Œapache-airflow >=2.4.0”Œpython >=3.7”Œtableauserverclient”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙQkK×
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bibmanager”h#Œ1.4.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#bibmanager-1.4.9-pyhd8ed1ab_0.conda”h+Œ fbd29c794f917bf90bbfb78f772d1132”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/bibmanager-1.4.9-pyhd8ed1ab_0.conda”h0Œ@ff3a800b25a8d05a752de7e5d3c274e89f0386bcd7f26245c2b71ea41ddb887b”h2NhNh3(Œnumpy >=1.15.1”Œpackaging >=17.1”Œprompt-toolkit >=3.0.5”Œpygments >=2.2.0”Œpython >=3.6”Œrequests >=2.19.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ#a‡hEJà¶ hFˆubh)”}”(hŒbidict”h#Œ0.22.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ bidict-0.22.1-pyhd8ed1ab_0.conda”h+Œ 2b69d5cbd3d301c9ceee2cfbf9fc87b7”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/bidict-0.22.1-pyhd8ed1ab_0.conda”h0Œ@d33cf30055cd2fe9b7c4141bd99b45b088180a85c1bffb6cfae288c092042b50”h2NhNh3Œpython >=3.6”Œ
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bigbrother”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#bigbrother-0.1.3-pyhd8ed1ab_0.conda”h+Œ 1c927ef6ab6871692ab1348ef54058cb”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/bigbrother-0.1.3-pyhd8ed1ab_0.conda”h0Œ@62868ff820f1081c65644db9f24a9e4a654d7ee0aee82df0c035974050b376c3”h2NhNh3Œpydantic”Œpython >=3.8”†”h9h?h@Œ
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bilby_pipe”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#bilby_pipe-1.1.1-pyhd8ed1ab_0.conda”h+Œ b913a032f7653381e0b5d71d961d4787”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/bilby_pipe-1.1.1-pyhd8ed1ab_0.conda”h0Œ@9308d6bdb81532bf9333e99a16de904b8d7c37994e77d7ac3fef5dd5f655df2a”h2NhNh3(Œastropy >=5”Œbilby >=1.3.0”Œconfigargparse”Œcorner”Œdynesty >=1.0.0”Œfuture”Œgwosc”Œgwpy >=3.0.4”Œjinja2”Œligo-gracedb”Œmatplotlib-base <3.7”Œnumpy”Œpesummary >=0.13.10”Œpycondor >=0.6”Œpyfftw”Œpytables”Œpython >=3.8”Œ
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cssselect2”Œ
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Apache-2.0”hBŒApache”hDGAØý5V
Ÿ¾hEJ× hFˆubh)”}”(hŒcalver”h#Œ	2022.6.26”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#calver-2022.6.26-pyhd8ed1ab_0.conda”h+Œ e50d3843cb65150ddd95c1eb3b53059b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/calver-2022.6.26-pyhd8ed1ab_0.conda”h0Œ@8ba3d3640c8f43391484a0b11c332a50746ca44ea663287f6cdaba3802112057”h2NhNh3Œpython >=3.5”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØåW½“…hEMà/hFˆubh)”}”(hŒcamply”h#Œ0.24.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ camply-0.24.3-pyhd8ed1ab_0.conda”h+Œ 78bbac9d209d501f9fa45e1785e7e998”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/camply-0.24.3-pyhd8ed1ab_0.conda”h0Œ@da7fb5e5fef3a8a469ad69b5c0f2d0d8c5daa9d138b51681fb65fbcaa7e5ac68”h2NhNh3(Œclick ~=8.1.3”Œfake-useragent ~=1.1.3”Œpandas ~=1.5.3”Œpydantic ~=1.10.7”Œpython >=3.8,<4.0”Œpython-dateutil”Œpython-dotenv ~=1.0.0”Œpytz ~=2023.2”Œpyyaml ~=6.0”Œratelimit ~=2.2.1”Œrequests ~=2.31.0”Œrich ~=13.3.2”Œrich-click ~=1.6.1”Œtenacity ~=8.2.2”t”h9h?h@ŒMIT”hDGAÙ"íQìhEJ< hFˆubh)”}”(hŒcampo”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcampo-0.3.3-pyhd8ed1ab_0.conda”h+Œ 3a4e2779595148f259782cbd1155490b”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/campo-0.3.3-pyhd8ed1ab_0.conda”h0Œ@7c6e15353ce98c773e444ca930e5c5d1063d186368fd35211a6ee9192bcd8db0”h2NhNh3(Œgdal”Œlue”Œnetworkx”Œnumpy”Œpandas”Œpcraster”Œpython >=3.6”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ •PöùÛhEMDrhFˆubh)”}”(hŒ	canmatrix”h#Œ0.9.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"canmatrix-0.9.5-pyhd8ed1ab_0.conda”h+Œ 4c87ff1b77a192a5906e7d2ef4d445fd”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/canmatrix-0.9.5-pyhd8ed1ab_0.conda”h0Œ@bf53c4e36356da5a6d4373fb91d34d40d6a1a3b155731d1f8184249671f0a9ce”h2NhNh3(Œattrs >=19.2.0”Œclick”Œfuture”Œlxml”Œpython >=3.8”Œpyyaml”Œsix”Œtyping”Œxlrd”Œ
xlsxwriter”Œxlwt”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØø~Í8bNhEJUU hFˆubh)”}”(hŒcaped-ai-augmentations”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/caped-ai-augmentations-1.0.5-pyhd8ed1ab_0.conda”h+Œ b9f0750b6757b31926fdb07841b05059”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/caped-ai-augmentations-1.0.5-pyhd8ed1ab_0.conda”h0Œ@b3b7d12ca4d4d3b58a9e3c2e87999e532b7055271b9ac3ade39df8d7939be0d1”h2NhNh3(Œalbumentations”Œ	dask-core”Œnatsort”Œopencv”Œpandas”Œ	photutils”Œpython >=3.9”Œscikit-learn”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙa*MÓhEMÇAhFˆubh)”}”(hŒcaped-ai-metrics”h#Œ1.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)caped-ai-metrics-1.1.5-pyhd8ed1ab_0.conda”h+Œ ca57f179ed5991218da12d387ef21e18”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/caped-ai-metrics-1.1.5-pyhd8ed1ab_0.conda”h0Œ@f44099a16b7adc25540dc74b1897f37ee1f4dcba64715238fd3ba0d80f6e23c0”h2NhNh3(Œpandas”Œpython >=3.9”Œscikit-image”Œscipy”Œseaborn”Œstardist”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ`ç
=hEM-hFˆubh)”}”(hŒcapella-console-client”h#Œ0.10.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0capella-console-client-0.10.2-pyhd8ed1ab_0.conda”h+Œ cee6d57fbb767fc94569bf4ef0a10e1f”h-Nh.Œ^https://conda.anaconda.org/conda-forge/noarch/capella-console-client-0.10.2-pyhd8ed1ab_0.conda”h0Œ@6802e499028f3a7710c81ad67401cab6a714d42ccd5f12dd7ac88bdbc40adffc”h2NhNh3(Œhttpx >=0.23.0,<0.24.0”Œpython >=3.6,<4.0”Œpython-dateutil >=2.8.2,<3.0.0”Œquestionary >=1.10.0,<2.0.0”Œretrying >=1.3.3,<2.0.0”Œrich >=12.5.1,<13.0.0”Œtabulate >=0.8.10,<1.0.0”Œtyper >=0.6.1,<0.7.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙaxuãThEMu™hFˆubh)”}”(hŒcaproto”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ caproto-1.1.0-pyhd8ed1ab_0.conda”h+Œ 7b72503f933043cbbc874b377bf78298”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/caproto-1.1.0-pyhd8ed1ab_0.conda”h0Œ@bffcb3faeccd539a8ea827b69a3cb1c2c9c289c4361f09dd0dd56365430fb6a9”h2NhNh3(Œcurio >=1.2”Œdpkt”Œ	netifaces”Œnumpy”Œpython >=3.8”Œtrio >=0.18.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙûâåó¶hEJ@ hFˆubh)”}”(hŒcaptum”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcaptum-0.6.0-pyhd8ed1ab_0.conda”h+Œ 106c7191459f23baf41f5af47a586a05”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/captum-0.6.0-pyhd8ed1ab_0.conda”h0Œ@21603208bf82e119c77d1be78791f4ed79d1d6f8ad91c0df7345ee40b5034a8a”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œpytorch >=1.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØû„¦—hEJ:ª hFˆubh)”}”(hŒcardiac-mps”h#Œ2023.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'cardiac-mps-2023.1.1-pyhd8ed1ab_0.conda”h+Œ 06aebbe990725cd4e3d50c57f9a639f3”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/cardiac-mps-2023.1.1-pyhd8ed1ab_0.conda”h0Œ@ccf27b9a8b73f7d779424a4482e003660d2d8ca35263b4b7d7586bc8ee277e92”h2NhNh3(Œap_features”Œimageio”Œimageio-ffmpeg”Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œscikit-image”Œscipy”Œtifffile”Œtyper”Œ	xmltodict”t”h9h?h@Œ3LGPL-2.1-or-later AND BSD-3-Clause AND BSD-2-Clause”hDGAÙ|w§ðhEJô hFˆubh)”}”(hŒcartes”h#Œ0.7.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcartes-0.7.4-pyhd8ed1ab_0.conda”h+Œ 6e756e348533b2786da53cabb8dacc93”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cartes-0.7.4-pyhd8ed1ab_0.conda”h0Œ@521507cb3e9d67ba0901a646b22eec431f429d3895c1282fd6f63a65a1082096”h2NhNh3(Œaiohttp >=3.8”Œaltair >=4.2”Œappdirs >=1.4”Œbeautifulsoup4 >=4.10”Œcartopy >=0.19”Œgeopandas >=0.10”Œjsonschema >=3.0”Œ
lxml >=4.7”Œmatplotlib-base >=3.5”Œnumpy >=1.21”Œpandas >=1.3”Œpyproj >=3.1”Œpython >=3.8,<4.0”Œrequests >=2.27”Œrich >=12.6.0”Œscipy >=1.7”Œshapely >=1.8”Œtqdm >=4.62”t”h9h?h@ŒMIT”hBŒMIT”hDGAØëŽÜÝ/hEJì² hFˆubh)”}”(hŒcartopy_offlinedata”h#Œ0.21.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-cartopy_offlinedata-0.21.1-pyhd8ed1ab_0.conda”h+Œ 7b8088de74a0d07478473d09dc16ed47”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/cartopy_offlinedata-0.21.1-pyhd8ed1ab_0.conda”h0Œ@7497cc688e415c189dea0178e743bf16dbeec2f5961e8b0961cbd23c6c8ccf18”h2NhNh3Œcartopy >=0.21.1”Œpython >=3.0.0”†”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØæKCohEJi’hFˆubh)”}”(hŒ
cartwright”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#cartwright-0.0.3-pyhd8ed1ab_0.conda”h+Œ ccc8a75f56f8da17755fef311d75e1f2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cartwright-0.0.3-pyhd8ed1ab_0.conda”h0Œ@40f2b02bcc69418ff96c737a37131495624fa837e4b384a461e44db60e859328”h2NhNh3(Œarrow 1.0.3”Œfaker >=14.0”Œfuzzywuzzy 0.18.0”Œjoblib 1.0.1”Œnumpy >=1.19”Œpandas >=1.1”Œpydantic 1.8.2”Œpython >=3.7,<4.0”Œpython-levenshtein 0.20.7”Œpytorch >=1.8”Œscipy >=1.5”Œtorchvision >=0.9”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØÞŸ»âJhEJq hFˆubh)”}”(hŒcashocs”h#Œ2.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cashocs-2.0.5-pyhd8ed1ab_0.conda”h+Œ fe0c7e34c1f06909467f9f4d2b3f6ad1”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cashocs-2.0.5-pyhd8ed1ab_0.conda”h0Œ@58eaeca1bfff69039433e8fa659e87978b6af0c67a016ea8d073d6626c055444”h2NhNh3(Œfenics 2019.1.*”Œ
gmsh >=4.8”Œimath <=3.1.6”Œmeshio >=4.1.0”Œnumpy >=1.21.0”Œopenssh”Œpython >=3.7”Œtyping_extensions”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙ"^“³×
hEJô hFˆubh)”}”(hŒ
castepxbin”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#castepxbin-0.3.0-pyhd8ed1ab_0.conda”h+Œ a4f5661530b52a7b8be24da7b62488b3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/castepxbin-0.3.0-pyhd8ed1ab_0.conda”h0Œ@408eee6c969183368e737ed0b265ee00e83f568e8b67eac5609d09beef924153”h2NhNh3Œnumpy >=1,<2”Œpython >=3.6”Œscipy >=1,<2”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¢K–È´hEMñZhFˆubh)”}”(hŒcastoredc_api”h#Œ0.1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&castoredc_api-0.1.8-pyhd8ed1ab_0.conda”h+Œ 8ced36a4328468cab400f67ec800c5d5”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/castoredc_api-0.1.8-pyhd8ed1ab_0.conda”h0Œ@9ccc530f1b58cac51351f84cce683370ef7bd6f2c25c5205824c1d13fdc4bdc6”h2NhNh3(Œhttpx >=0.19.0”Œnumpy >=1.21.1”Œopenpyxl >=3.0.7”Œpandas >=1.3.1”Œpython >=3.8”Œratelimiter >=1.2.0”Œtqdm >=4.62.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ;å’MÓhEJÞk hFˆubh)”}”(hŒ catalystcoop.ferc-xbrl-extractor”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9catalystcoop.ferc-xbrl-extractor-0.6.1-pyhd8ed1ab_0.conda”h+Œ 93b60acabdc5e0d3fdd328cb44d972d6”h-Nh.Œghttps://conda.anaconda.org/conda-forge/noarch/catalystcoop.ferc-xbrl-extractor-0.6.1-pyhd8ed1ab_0.conda”h0Œ@ca5f81dd299b3a7d6311d38e14260148b2fc71a31aec3c997cbdfce023e4ec82”h2NhNh3(Œarelle-release >=2.2,<2.3”Œcoloredlogs >=14.0,<15.1”Œfrictionless >=4.4,<5”Œpandas >=1.4,<1.5”Œpydantic >=1.9,<2”Œpython >=3.8,<3.11”Œsqlalchemy >=1.4,<2”Œstringcase >=1.2.0,<1.3.dev0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØæ \l‹hEMÝdhFˆubh)”}”(hŒ catalystcoop.ferc-xbrl-extractor”h#Œ0.6.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ9catalystcoop.ferc-xbrl-extractor-0.6.1-pyhd8ed1ab_1.conda”h+Œ eec506ab1db11aad4e9b4e9060a9c0de”h-Nh.Œghttps://conda.anaconda.org/conda-forge/noarch/catalystcoop.ferc-xbrl-extractor-0.6.1-pyhd8ed1ab_1.conda”h0Œ@120366e733d5c782fffedaa0ed6668b5f43b8bf8d9c89fa1804fe441c02de67b”h2NhNh3(Œarelle-release >=2.2,<2.3”Œcoloredlogs >=14.0,<15.1”Œfrictionless >=4.4,<5”Œpandas >=1.4,<1.5”Œpydantic >=1.9,<2”Œpython >=3.8,<3.11”Œsqlalchemy >=1.4,<2”Œstringcase >=1.2.0,<1.3.dev0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØæ*£ƒ¥ãhEMbehFˆubh)”}”(hŒ catalystcoop.ferc_xbrl_extractor”h#Œ0.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9catalystcoop.ferc_xbrl_extractor-0.8.2-pyhd8ed1ab_0.conda”h+Œ a40489854e5427047db17266febe3b35”h-Nh.Œghttps://conda.anaconda.org/conda-forge/noarch/catalystcoop.ferc_xbrl_extractor-0.8.2-pyhd8ed1ab_0.conda”h0Œ@b8bd24c2e3cfdca70e4b5289ae820237be614d0f6c0ada60b8debea070eb84f3”h2NhNh3(Œarelle-release >=2.3,<2.6”Œcoloredlogs >=14.0,<15.1”Œfrictionless >=4.4,<5”Œlxml >=4.9.1,<5”Œnumpy >=1.16,<1.25”Œpandas >=1.5,<2.1”Œpydantic >=1.9,<2”Œpython >=3.10,<3.12”Œsqlalchemy >=1.4,<2”Œstringcase >=1.2.0,<1.3.dev0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ7?=qhEM>mhFˆubh)”}”(hŒcatalystcoop.pudl”h#Œ
2022.11.30”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/catalystcoop.pudl-2022.11.30-pyhd8ed1ab_0.conda”h+Œ 5bd12b49f807aafde93db8eaeb52b631”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/catalystcoop.pudl-2022.11.30-pyhd8ed1ab_0.conda”h0Œ@5fbcffd14d8783ef7ab5ac1e14e95efe4f1dc256c48613956547576242b59bf1”h2NhNh3(Œaddfips >=0.4,<0.5”Œcatalystcoop.dbfread >=3.0,<3.1”Œ&catalystcoop.ferc-xbrl-extractor 0.6.1”Œcoloredlogs >=15.0,<15.1”Œdask >=2021.8,<2022.11.2”Œdatapackage >=1.11,<1.16”Œemail-validator >=1.0.3”Œfsspec >=2021.7,<2022.11.1”Œgcsfs >=2021.7,<2022.11.1”Œgeopandas >=0.9,<0.13”Œjinja2 >=2,<3.2”Œmatplotlib-base >=3.3,<3.7”Œnetworkx >=2.2,<2.9”Œnumpy >=1.18.5,<1.24,!=1.23.0”Œpandas >=1.4,<1.5.3”Œpyarrow >=5,<10.1”Œpydantic >=1.7,<2”Œpygeos >=0.10,<0.14”Œpython >=3.10,<3.11”Œpython-snappy >=0.6,<0.7”Œpyyaml >=5,<6.1”Œscikit-learn >=1.0,<1.2”Œscipy >=1.6,<1.10”Œshapely >1.8.0,!=1.8.3,<2.1”Œsqlalchemy >=1.4,<1.4.45”Œsqlite >=3.36,<4”Œtimezonefinder >=5,<6.2”Œxlsxwriter >=3,<3.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØæõ£ffhEJ’á$ hFˆubh)”}”(hŒcatalystcoop.pudl_catalog”h#Œ
2022.11.30”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7catalystcoop.pudl_catalog-2022.11.30-pyhd8ed1ab_0.conda”h+Œ 5e9ba4e4f9751d673c135838d115d78a”h-Nh.Œehttps://conda.anaconda.org/conda-forge/noarch/catalystcoop.pudl_catalog-2022.11.30-pyhd8ed1ab_0.conda”h0Œ@0fd24b34593a9d009b2a527b00d752f1617d82f60cb268212e9b08f0166212a4”h2NhNh3(Œboto3 1.24.59”Œgcsfs >=2021.7,<2022.11.1”Œintake-parquet >=0.2.3,<0.3”Œintake-sqlite >=0.2.0”Œmsgpack-python >=1,<2”Œpython >=3.8,<3.12”Œs3fs >=2021.7,<2022.11.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØèÇý›hEM‰ChFˆubh)”}”(hŒcategory_encoders”h#Œ2.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*category_encoders-2.6.1-pyhd8ed1ab_0.conda”h+Œ 785ce94e2e8462afbdbe2b1c58d9081d”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/category_encoders-2.6.1-pyhd8ed1ab_0.conda”h0Œ@62c7b8920a211986b67721fc99c7acf90334d566e358e7c1755e3f96b2addd35”h2NhNh3(Œnumpy >=1.14.0”Œpandas >=1.0.5”Œpatsy >=0.5.1”Œpython >=3.5”Œscikit-learn >=0.20.0”Œscipy >=1.0.0”Œstatsmodels >=0.9.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÝË·+hEJõ hFˆubh)”}”(hŒcatkin_tools”h#Œ0.9.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%catkin_tools-0.9.3-pyhd8ed1ab_0.conda”h+Œ 153418ba2bc0d9cbcda76a5f77338b2d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/catkin_tools-0.9.3-pyhd8ed1ab_0.conda”h0Œ@960ab9f9db3be8cecfc5e8ebf475b6a3a7bf38fe4c9e5f08472751338f67d44e”h2NhNh3(Œcatkin_pkg >=0.3.0”Œ	coreutils”Œmake”Œosrf_pycommon >0.1.1”Œpsutil”Œpython >=3.6”Œpyyaml”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØýî˜à ÅhEJQ§ hFˆubh)”}”(hŒcatt”h#Œ0.12.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcatt-0.12.10-pyhd8ed1ab_0.conda”h+Œ f25bf8225d83674c87cb2e73f24d476f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/catt-0.12.10-pyhd8ed1ab_0.conda”h0Œ@e2483ca7344e16d0bf510fa0b6a2ccf30179ed00baa8ddb13286bc85245502cc”h2NhNh3(Œclick >=7.1.2”Œifaddr >=0.1.7”Œpychromecast >=12.1.4,<13”Œpython >=3.7”Œrequests >=2.23.0”Œyt-dlp >=2022.6.22.1”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØö2Eä¼jhEMÈohFˆubh)”}”(hŒcattrs”h#Œ23.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cattrs-23.1.2-pyhd8ed1ab_0.conda”h+Œ e554f60477143949704bf470f66a81e7”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cattrs-23.1.2-pyhd8ed1ab_0.conda”h0Œ@6de3f9a22a4f1b8d62a41df8f92ecde30229b34ea67d07c298213c09b3f5c24b”h2NhNh3(Œ
attrs >=20”Œexceptiongroup”Œpython >=3.7”Œtyping_extensions >=4.1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ^Jb=qhEM/£hFˆubh)”}”(hŒ	causalegm”h#Œ0.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"causalegm-0.2.6-pyhd8ed1ab_0.conda”h+Œ 7495b55074a5a294f00902d3d5d5ed31”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/causalegm-0.2.6-pyhd8ed1ab_0.conda”h0Œ@fced3d8dcda7a15195876a6f00e66edfa5aeb901475f071315a847d9203b3304”h2NhNh3(Œpandas”Œprotobuf 3.20.0”Œpython >=3.6”Œpython-dateutil”Œscikit-learn”Œ
tensorflow”t”h9h?h@ŒMIT”hBŒMIT”hDGAØøªÕ.hEMÒBhFˆubh)”}”(hŒcausalimpact”h#Œ0.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%causalimpact-0.2.6-pyhd8ed1ab_0.conda”h+Œ b21007a8a27bad95b2437571bfadad05”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/causalimpact-0.2.6-pyhd8ed1ab_0.conda”h0Œ@0a3419a0ea1eef4f4ecf166f8324041033ee77574b862310b3cfbb3b83925eae”h2NhNh3(Œimportlib-metadata”Œmatplotlib-base”Œnumpy >=1.15.0”Œpandas”Œpymc”Œpytensor”Œpython >=3.6”Œstatsmodels”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØï­×ýhEMmhFˆubh)”}”(hŒcausalpy”h#Œ0.0.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"causalpy-0.0.13-pyhd8ed1ab_0.conda”h+Œ b182646962f1bc8224c765db76091e37”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/causalpy-0.0.13-pyhd8ed1ab_0.conda”h0Œ@09f55ffe533b686339eb89a3355d92cb56fd537edab7e3bf01ec425be4893fc5”h2NhNh3(Œarviz >=0.14.0”Œipython !=8.7.0”Œmatplotlib-base >=3.5.3”Œnumpy”Œpandas”Œpatsy”Œpymc >=5.0.0”Œpython >=3.8”Œpython-graphviz”Œscikit-learn >=1”Œscipy”Œseaborn >=0.11.2”Œxarray >=v2022.11.0”t”h9h?h@Œ
Apache-2.0”hDGAÙ!àj²-hEJu4 hFˆubh)”}”(hŒcbsyst”h#Œ0.4.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcbsyst-0.4.8-pyhd8ed1ab_0.conda”h+Œ 3fd0c2a88194b04dcb1343eb11c83e5e”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cbsyst-0.4.8-pyhd8ed1ab_0.conda”h0Œ@3e654e3b205a2075010070e6faca409c548dc3fa1517fb634f017686b561297e”h2NhNh3(Œkgen >=0.2.0”Œnumpy >=1.13”Œpandas >=0.19”Œpython >=3.7”Œscipy >=0.18”Œtqdm >=4.14”Œuncertainties >=3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ‚~ÙhEM1~hFˆubh)”}”(hŒccdproc”h#Œ2.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ ccdproc-2.4.1-pyhd8ed1ab_0.conda”h+Œ 65d1c9a1f4af833223421850d8f7fdd2”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ccdproc-2.4.1-pyhd8ed1ab_0.conda”h0Œ@bff44ae73762f20fa751d983bc53d2676341456ce62c0f4fe38a65f6d45041d3”h2NhNh3(Œastropy >=4.0.6”Œastroscrappy >=1.0.8”Œnumpy >=1.17”Œpython >=3.7”Œreproject >=0.7”Œscikit-image”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ‘”—l‹hEJ>Ç hFˆubh)”}”(hŒcdasws”h#Œ1.7.43”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cdasws-1.7.43-pyhd8ed1ab_0.conda”h+Œ 5731ef2b20b14bb3c6b3f0c0a02a2ec6”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cdasws-1.7.43-pyhd8ed1ab_0.conda”h0Œ@155ffc2b0a28d304d5fd07b4e60053546f5bce4b1502cc733324bfc29b6f704a”h2NhNh3Œpython >=3.6”Œpython-dateutil >=2.8.0”Œrequests >=2.20”‡”h9h?h@ŒNOSL”hDGAÙ#	†ãThEMð„hFˆubh)”}”(hŒcdcs”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcdcs-0.2.1-pyhd8ed1ab_0.conda”h+Œ 31970db97a218812523dbc1061e4a556”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/cdcs-0.2.1-pyhd8ed1ab_0.conda”h0Œ@dda3dfa77bb5f6e88012ea69cfd551c283ef23ce83685329000bea054baf1fe4”h2NhNh3(Œipython”Œpandas”Œpython >=3.7”Œrequests”Œtqdm”t”h9h?h@ŒNIST-PD”hDGAÙ†€–§ðhEMjghFˆubh)”}”(hŒcdflib”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcdflib-1.0.4-pyhd8ed1ab_0.conda”h+Œ 3c4d5fa583038c5f84b514ecf7530b45”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cdflib-1.0.4-pyhd8ed1ab_0.conda”h0Œ@ff7ead6899dd6e4b9a056e9c570b378d495ac5f8881e5b180bcd970d888f0f0f”h2NhNh3(Œastropy”Œnumpy”Œpython >=3.5”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÝY7LhEJ¾ hFˆubh)”}”(hŒcdsapi”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcdsapi-0.6.1-pyhd8ed1ab_0.conda”h+Œ 454ed214cec806066097ae245a409171”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cdsapi-0.6.1-pyhd8ed1ab_0.conda”h0Œ@f2283cda666d4b7338cab8537d13342c6e187d1dcddf8b3db1ce8cf8d6873bef”h2NhNh3Œpython >=3.6”Œrequests >=2.5.0”Œtqdm”‡”h9h?h@Œ
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setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙk|r°hEM›?hFˆubh)”}”(hŒ
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cinemagoer”h#Œ2023.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&cinemagoer-2023.5.1-pyhd8ed1ab_0.conda”h+Œ 4fdd9e6c8ed66a6dcb4c96f234a1f08f”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/cinemagoer-2023.5.1-pyhd8ed1ab_0.conda”h0Œ@050088ddea7877ea02e513bc5c810e0504920cd0607a5e5a147f0c724ea98be5”h2NhNh3Œlxml”Œpython >=3.6”Œ
sqlalchemy”‡”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙVíP  hEJßè hFˆubh)”}”(hŒcinnabar”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!cinnabar-0.3.0-pyhd8ed1ab_0.conda”h+Œ 6afc940e58c376bf40a17c51e21589cd”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cinnabar-0.3.0-pyhd8ed1ab_0.conda”h0Œ@49557499a9e979914c689e771107f9a16665e9db596a19cd1c77956f0d134d62”h2NhNh3(Œ
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Apache-2.0”hBŒAPACHE”hDGAØÞ$–§+hEJþ hFˆubh)”}”(hŒcirq”h#Œ1.1.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒcirq-1.1.0-pyh1a96a4e_0.conda”h+Œ a43e6c3be6a18093d65b2e94afd2d536”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/cirq-1.1.0-pyh1a96a4e_0.conda”h0Œ@fbd43a1f50134ba54f96866711f667c06af823bff32045164ae5a656e72f7d63”h2NhNh3(Œcirq-aqt 1.1.0”Œcirq-core 1.1.0”Œcirq-google 1.1.0”Œcirq-ionq 1.1.0”Œcirq-pasqal 1.1.0”Œcirq-rigetti 1.1.0”Œcirq-web 1.1.0”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØîVáûçhEMf7hFˆubh)”}”(hŒcirq-aqt”h#Œ1.1.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ!cirq-aqt-1.1.0-pyh1a96a4e_0.conda”h+Œ 5b38c4de0bc8569fcdc0cf7b92048516”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cirq-aqt-1.1.0-pyh1a96a4e_0.conda”h0Œ@a675d8df0cb3f996ccb622dfb69d629ef3bd0a25249beec53e39ebfe8a2a81ab”h2NhNh3Œcirq-core 1.1.0”Œpython >=3.7”Œrequests >=2.18,=2”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØî9)º^hEMahFˆubh)”}”(hŒ	cirq-core”h#Œ1.1.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ"cirq-core-1.1.0-pyh1a96a4e_0.conda”h+Œ d28f1a5242764d644cc46cd1ee13dd10”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cirq-core-1.1.0-pyh1a96a4e_0.conda”h0Œ@85bb3bccb93c8b08f4073bac9d0d035574604ceec537a00c3fa1d11bebddcea1”h2NhNh3(Œduet-python >=0.2.7,=0.2”Œmatplotlib-base >=3.0,=3”Œnetworkx >=2.4,=2”Œnumpy >=1.16,<1.24”Œpandas”Œpython >=3.7”Œscipy”Œsortedcontainers >=2.0,=2”Œsympy”Œtqdm”Œtyping_extensions”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØî3Œ›¦hEJïß hFˆubh)”}”(hŒcirq-google”h#Œ1.1.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ$cirq-google-1.1.0-pyh1a96a4e_0.conda”h+Œ f0336149dbc2a1ba11d81258713bbc2b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/cirq-google-1.1.0-pyh1a96a4e_0.conda”h0Œ@fd8025e3b998579604aae40c0ff01e94aae8530fbf6a15df01dde28725dbe8cb”h2NhNh3(Œcirq-core 1.1.0”Œ'google-api-core-grpc >=1.14.0,<2.0.0dev”Œproto-plus >=1.20.0”Œprotobuf >=3.15.0,<4”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØî=òáHhEJ hFˆubh)”}”(hŒ	cirq-ionq”h#Œ1.1.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ"cirq-ionq-1.1.0-pyh1a96a4e_0.conda”h+Œ d7ab69de15ee52b3418c29b9f0a26cb4”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cirq-ionq-1.1.0-pyh1a96a4e_0.conda”h0Œ@40dd11c32968108dc693c9b88f88f25581414c0b310fc99ae18a2eabb8976dc0”h2NhNh3Œcirq-core 1.1.0”Œpython >=3.7”Œrequests >=2.18,=2”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØîC' hEM]ªhFˆubh)”}”(hŒcirq-pasqal”h#Œ1.1.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ$cirq-pasqal-1.1.0-pyh1a96a4e_0.conda”h+Œ 657948bca299cc66a650f5a1e1bceabb”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/cirq-pasqal-1.1.0-pyh1a96a4e_0.conda”h0Œ@80c65944d2eefaf09d48420ebdb12806f56f00831e25163b1a2440c65dd1060d”h2NhNh3Œcirq-core 1.1.0”Œpython >=3.7”Œrequests >=2.18,=2”‡”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØîLp¤hEM+¼hFˆubh)”}”(hŒcirq-web”h#Œ1.1.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ!cirq-web-1.1.0-pyh1a96a4e_0.conda”h+Œ 6c8ebb1e057a3adcabad4ad7e37f118c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cirq-web-1.1.0-pyh1a96a4e_0.conda”h0Œ@0fd0e8fa5f35a4f80fc03bde9f5f1eac0d2d1eee089f00b6159164fecf5d3b52”h2NhNh3Œcirq-core 1.1.0”Œpython >=3.7”†”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAÙ!ÎF$ÝhEJ¼ hFˆubh)”}”(hŒclickhouse-sqlalchemy”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.clickhouse-sqlalchemy-0.2.3-pyhd8ed1ab_0.conda”h+Œ afcc97a0b5cbc27440448f4996a5f61d”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/clickhouse-sqlalchemy-0.2.3-pyhd8ed1ab_0.conda”h0Œ@62e1cccc9c8cb6708924fe030606a29b24630ce5348aa73c8e130a3a92b03342”h2NhNh3(Œclickhouse-driver >=0.1.2”Œpython >=3.6,<4”Œrequests”Œsqlalchemy >=1.4,<1.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØà­<1hEMF—hFˆubh)”}”(hŒcliff”h#Œ4.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcliff-4.2.0-pyhd8ed1ab_0.conda”h+Œ ea5e498ddb0905740fd322dfbf6f6a26”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/cliff-4.2.0-pyhd8ed1ab_0.conda”h0Œ@a8820b9d29ac8d3e56a772055b55ef0d48b5129f2a3d7691ca6349ffd0b1bb84”h2NhNh3(Œautopage >=0.4.0”Œcmd2 >=1.0.0”Œimportlib_metadata >=4.4”Œprettytable >=0.7.2”Œpython >=3.8”Œpyyaml >=3.12”Œstevedore >=2.0.1”t”h9h?h@Œ
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bottleneck”Œcartopy”Œcfgrib”Œ
contextily”Œ	dask-core”Œdeprecation”Œ	geopandas”Œh5py”Œ	haversine”Œmatplotlib-base”Œnetcdf4”Œnumba”Œoverpy”Œpandas”Œpandas-datareader”Œpathos”Œpeewee”Œpillow”Œpint”Œ	pycountry”Œpytables”Œpython 3.9.*”Œrasterio”Œsalib”Œscikit-learn”Œsparse”Œstatsmodels”Œtabulate”Œtqdm”Œxarray”Œxlrd”Œ
xlsxwriter”Œ	xmlrunner”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAÙÛ‹ ÔþhEJ^ } hFˆubh)”}”(hŒclimada”h#Œ3.3.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ climada-3.3.2-pyhd8ed1ab_1.conda”h+Œ 8e7745981519b44ffdc5a0c10893623f”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/climada-3.3.2-pyhd8ed1ab_1.conda”h0Œ@f37b045b46a80e5d63973942c3eea74d6babe45393991cf1a17273296d009982”h2NhNh3(Œ
bottleneck”Œcartopy”Œcfgrib”Œ
contextily”Œ	dask-core”Œdeprecation”Œ	geopandas”Œh5py”Œ	haversine”Œmatplotlib-base”Œnetcdf4”Œnumba”Œopenpyxl”Œoverpy”Œpandas”Œpandas-datareader”Œpathos”Œpeewee”Œpillow”Œpint”Œ	pycountry”Œpytables”Œpython 3.9.*”Œrasterio”Œsalib”Œscikit-learn”Œsparse”Œstatsmodels”Œtabulate”Œtqdm”Œxarray”Œxlrd”Œ
xlsxwriter”Œ	xmlrunner”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAÙY²›çmhEJÓ,} hFˆubh)”}”(hŒclimada”h#Œ3.3.2”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ climada-3.3.2-pyhd8ed1ab_2.conda”h+Œ e0ea6e3500b04547b4005f36e42ea26d”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/climada-3.3.2-pyhd8ed1ab_2.conda”h0Œ@120191d5b3db8c01bcde1b5e82cc83f540350605538b9a676b12ef0e5cf0d09c”h2NhNh3(Œ
bottleneck”Œcartopy”Œcfgrib”Œ
contextily”Œ	dask-core”Œdeprecation”Œ	geopandas”Œh5py”Œ	haversine”Œmatplotlib-base”Œnetcdf4”Œnumba”Œopenpyxl”Œoverpy”Œpandas”Œpandas-datareader”Œpathos”Œpeewee”Œpillow”Œpint”Œ	pycountry”Œpytables”Œpython 3.9.*”Œrasterio”Œsalib”Œscikit-learn”Œsparse”Œstatsmodels”Œtabulate”Œtqdm”Œxarray”Œxlrd”Œ
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gdal 3.5.*”Œgeopandas 0.12.*”Œ
h5py 3.7.*”Œhaversine 2.8.*”Œmatplotlib-base 3.3.*”Œmccabe 0.6.*”Œnetcdf4 1.6.*”Œnumba 0.56.*”Œopenpyxl 3.1.*”Œoverpy 0.6.*”Œpandas 1.5.*”Œpandas-datareader 0.10.*”Œpathos 0.3.*”Œpeewee 3.16.*”Œpint 0.20.*”Œ
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xlrd 2.0.*”Œxlsxwriter 3.0.*”Œxmlrunner 1.7.*”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAÙIk`ÔþhEJ‰ê hFˆubh)”}”(hŒclimada”h#Œ3.3.2”h%Œpyhd8ed1ab_4”h'Khhh(h)hŒ climada-3.3.2-pyhd8ed1ab_4.conda”h+Œ 30fa780b28f17489239acbb2d7db8462”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/climada-3.3.2-pyhd8ed1ab_4.conda”h0Œ@bd8de762e852e5934e645c3ffa2eb5cbfaf470f54ddb866b5fe4d125f5aa046c”h2NhNh3(Œbottleneck 1.3.*”Œcartopy 0.20.*”Œcfgrib 0.9.9.*”Œcontextily 1.3.*”Œdask 2023.3.*”Œdeprecation 2.1.*”Œeccodes 2.27.*”Œ
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=hEM§QhFˆubh)”}”(hŒcmap”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcmap-0.0.3-pyhd8ed1ab_0.conda”h+Œ 2dd2487fd355b0731e6c0185cf05e2da”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/cmap-0.0.3-pyhd8ed1ab_0.conda”h0Œ@de378ad32f01e7e160fef731cc200a649bc0011f20c1a705fcc66336f7b60618”h2NhNh3Œnumpy”Œpython >=3.8”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙCûçmhEJx hFˆubh)”}”(hŒcmaps”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcmaps-2.0.1-pyhd8ed1ab_0.conda”h+Œ 803fa95d9758f0b2ddd6fa4961813764”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/cmaps-2.0.1-pyhd8ed1ab_0.conda”h0Œ@26e832eb25d5b7629fb7dc96f0193b652f0941a769e48cfee7aa23ffec98f398”h2NhNh3(Œmatplotlib-base >=2.2”Œnumpy”Œ	packaging”Œpython >=3.6”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙÎö#¶FhEJ´ hFˆubh)”}”(hŒ	cmdstanpy”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cmdstanpy-1.1.0-pyhd8ed1ab_0.conda”h+Œ 5fe7b0180017d9b9e9471fc680b79995”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cmdstanpy-1.1.0-pyhd8ed1ab_0.conda”h0Œ@b6a853d28630062df8316360ea6a4ee7084d48187842b9c8c675fb5a390c882d”h2NhNh3(Œcmdstan”Œnumpy >=1.21”Œpandas”Œpython >=3.7”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØôg§p¤hEJ= hFˆubh)”}”(hŒcmec_driver”h#Œ1.1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$cmec_driver-1.1.9-pyhd8ed1ab_0.conda”h+Œ cffe9c2dfce45c71ad4c30ba4389de5a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/cmec_driver-1.1.9-pyhd8ed1ab_0.conda”h0Œ@99d3d107482b4a65ae62373c2c2b8397875e02548e94eaafed18fe0eabb458fc”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØò Öp  hEM™ZhFˆubh)”}”(hŒcmlib”h#Œ1.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcmlib-1.1.3-pyhd8ed1ab_0.conda”h+Œ a1634515fd1bff83bde711b0e30a03f8”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/cmlib-1.1.3-pyhd8ed1ab_0.conda”h0Œ@955d5fd347f7d15e595e44977d7a453195e83b9fc39500ff9b70c69274d96558”h2NhNh3Œnumpy >=1.11”Œpython >=3.5”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÞ”s#hEJò hFˆubh)”}”(hŒcmocean”h#Œ3.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cmocean-3.0.3-pyhd8ed1ab_0.conda”h+Œ eec7df83d725696d32c7bf99aff21d82”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cmocean-3.0.3-pyhd8ed1ab_0.conda”h0Œ@4f1b50d401e24359de20d6cf54e0f52f460171d0de54c23a5578b7c8869ef97b”h2NhNh3(Œcolorspacious”Œmatplotlib-base”Œnumpy”Œ	packaging”Œpython >=3.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙd<<jhEJÂu hFˆubh)”}”(hŒcmomy”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcmomy-0.5.0-pyhd8ed1ab_0.conda”h+Œ 1ebb903e53ff3bea45b5c72ebd62fd88”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/cmomy-0.5.0-pyhd8ed1ab_0.conda”h0Œ@5dd80609c589791fdf6b9ddbf809e3146c0cf8bd28995a18179644544da9bc1f”h2NhNh3(Œcustom-inherit”Œmodule-utilities >=0.1”Œnumba >=0.50”Œnumpy >=1.21”Œpython >=3.8”Œtyping-extensions”Œxarray >=0.16”t”h9h?h@ŒNIST-PD”hDGAÙ"q—st¼hEMàØhFˆubh)”}”(hŒcmpitool”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!cmpitool-1.0.0-pyhd8ed1ab_0.conda”h+Œ 5945c64c99da84ebe689313ae40da597”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cmpitool-1.0.0-pyhd8ed1ab_0.conda”h0Œ@3d05838f9d160b74934875daf6bb4d9e661607fa2e397c2f7767280ffd2cc24c”h2NhNh3(Œ	geopandas”Œmatplotlib-base”Œnumpy”Œpandas >=1.0.0”Œpooch”Œpython >=3.6”Œ
regionmask”Œseaborn”Œtqdm”Œxarray”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÿï’G²hEMothFˆubh)”}”(hŒcmyt”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcmyt-1.2.0-pyhd8ed1ab_0.conda”h+Œ 1d70cb3d8fe3291b1197ed638d3069f9”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/cmyt-1.2.0-pyhd8ed1ab_0.conda”h0Œ@542291f3f9f00a8df0f7d8209e116d0299f76abbc34d0cd34d5457fa3f82f9df”h2NhNh3(Œcolorspacious >=1.1.2”Œmatplotlib-base >=3.2.0”Œmore-itertools >=8.4”Œnumpy >=1.17.4”Œpython >=3.8”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ×xƒhEMÞ}hFˆubh)”}”(hŒcnmaps”h#Œ1.1.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒcnmaps-1.1.1-pyhd8ed1ab_1.conda”h+Œ d1beee58608c3b733df6eb3bd6ab3085”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cnmaps-1.1.1-pyhd8ed1ab_1.conda”h0Œ@3412d06c36311770955031e8e6ccfa3efc325a44072299bd096d616a34bf489a”h2NhNh3(Œcartopy >=0.20.0”Œfiona”Œgeojson”Œ	geopandas”Œmatplotlib-base”Œnetcdf4”Œnumba”Œnumpy”Œorjson”Œpython >=3.8”Œshapely >=1.8.0,<2.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØïÖ\¾§ðhEJ®‡ÌhFˆubh)”}”(hŒcnmfsns”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cnmfsns-1.4.1-pyhd8ed1ab_0.conda”h+Œ 7901530bbe78c9a10c0a42dd34cbb0af”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cnmfsns-1.4.1-pyhd8ed1ab_0.conda”h0Œ@ca5b4a68e3ae474c7f69b874780f220ee838d9b5336dabd9ee181d09db7c028d”h2NhNh3(Œanndata >=0.8.0”Œclick”Œdistinctipy”Œfastcluster”Œhttplib2”Œmatplotlib-base”Œnumpy”Œpandas”Œ
pygraphviz”Œpython >=3.9”Œpython-igraph”Œpyyaml”Œscanpy”Œscikit-learn”Œscipy >=1.9.0”Œsemantic_version”Œtomli”Œtomli-w”Œ	upsetplot”t”h9h?h@ŒMIT”hDGAÙ"áwø  hEMìáhFˆubh)”}”(hŒcoastal-cascade”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(coastal-cascade-0.1.1-pyhd8ed1ab_0.conda”h+Œ ff0a87cc007b31425fa56e31bb2fa913”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/coastal-cascade-0.1.1-pyhd8ed1ab_0.conda”h0Œ@cd9880945e7c35acbac14bbbffef6ce7ad715267d86ede1ad290dffce0d74655”h2NhNh3(Œ
baked-brie”Œ	barrier3d”Œimageio”Œjoblib”Œnumpy”Œpython >=3.8”Œpyyaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙs’Ðr°hEMºhFˆubh)”}”(hŒcobra”h#Œ0.26.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcobra-0.26.3-pyhd8ed1ab_0.conda”h+Œ f8e2b4733e4fe8c53a918064546e1897”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cobra-0.26.3-pyhd8ed1ab_0.conda”h0Œ@e33c839f1a4aa12b4e67210887146dfa509f34b254e3b6fdd1402c0f40015127”h2NhNh3(Œappdirs”Œdepinfo 1.7.*”Œ	diskcache”Œfuture”Œhttpx >=0.24.0”Œimportlib_resources”Œnumpy >=1.13,<1.24”Œoptlang >=1.5.1”Œpandas >=1.0,<2.0”Œpydantic >=1.6”Œpython >=3.6”Œpython-libsbml 5.19.2”Œ
rich >=8.0”Œruamel.yaml >=0.16”Œsix”Œswiglpk”t”h9h?h@Œ%LGPL-2.0-or-later OR GPL-2.0-or-later”hBŒGPL”hDGAÙðAë…hEJ±V hFˆubh)”}”(hŒ	code2flow”h#Œ2.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"code2flow-2.5.1-pyhd8ed1ab_0.conda”h+Œ 78ab6acbdf5aac3588f67780ca2ada9e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/code2flow-2.5.1-pyhd8ed1ab_0.conda”h0Œ@d6c720e42760f066331ca7698b87e0754640dee8b8b3aba3c546dd719dbb8896”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØï1±ohEJmÊ hFˆubh)”}”(hŒ	codebraid”h#Œ0.10.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#codebraid-0.10.3-pyhd8ed1ab_0.conda”h+Œ 71de5fc36e18ee4a7023ba5686e69c89”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/codebraid-0.10.3-pyhd8ed1ab_0.conda”h0Œ@962e85799c698ca186d701b809a4e905d4d143cee405c1bfc50d20b69fad59de”h2NhNh3Œbespon >=0.6”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØò¦cûohEJ= hFˆubh)”}”(hŒ
codecarbon”h#Œ2.2.2”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ#codecarbon-2.2.2-pyh1a96a4e_0.conda”h+Œ e72f5d0d0b2908c255102c1b712836a2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/codecarbon-2.2.2-pyh1a96a4e_0.conda”h0Œ@ebbd5f153cf5b01f3f19c6bfa07c02d0363e70f51c5e3c1a7b5f1abb8d736781”h2NhNh3(Œarrow”Œclick”Œdash”Œdash-bootstrap-components”Œdash-core-components”Œdash-html-components”Œ
dash-table”Œfire”Œ
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py-cpuinfo”Œpynvml”Œpython >=3.7”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÐ´Z-hEJKH hFˆubh)”}”(hŒcodecarbon-dev”h#Œ2.2.2”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ'codecarbon-dev-2.2.2-pyh1a96a4e_0.conda”h+Œ 4a7e584453a8df987d5c9a474f29d6c8”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/codecarbon-dev-2.2.2-pyh1a96a4e_0.conda”h0Œ@275a60a7ea17ad3af3ff2433b2419eb7cb482da090ee1cfccf525b2dd6a5f720”h2NhNh3(Œblack”Œ"codecarbon-test 2.2.2 pyh1a96a4e_0”Œflake8”Œisort”Œmypy”Œpython >=3.7”Œsphinx”Œsphinx-rtd-theme”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÐ½ÌZhEMÁhFˆubh)”}”(hŒcodecarbon-test”h#Œ2.2.2”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ(codecarbon-test-2.2.2-pyh1a96a4e_0.conda”h+Œ 7f67ae8137484032b1951da2eee96729”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/codecarbon-test-2.2.2-pyh1a96a4e_0.conda”h0Œ@8ed051ba978f2a70d602144e0ed5fdbbb926a20e2cdf2ad1baa1dba19b01a588”h2NhNh3(Œcodecarbon 2.2.2 pyh1a96a4e_0”Œnumpy”Œpytest”Œpython >=3.7”Œrequests-mock”Œ	responses”Œtox”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÐ·”“hEM—hFˆubh)”}”(hŒcodecarbon-viz”h#Œ2.2.2”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ'codecarbon-viz-2.2.2-pyh1a96a4e_0.conda”h+Œ a022728d846931b72c425250f73d06ae”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/codecarbon-viz-2.2.2-pyh1a96a4e_0.conda”h0Œ@923f2887ce9b92c3a68882eb6ac5bd54397d990e912b9cafb38f50986822d607”h2NhNh3(Œcodecarbon 2.2.2 pyh1a96a4e_0”Œdash”Œdash-bootstrap-components”Œdash-core-components”Œdash-html-components”Œ
dash-table”Œfire”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÐº°bhEMŸhFˆubh)”}”(hŒcodecov”h#Œ2.1.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!codecov-2.1.13-pyhd8ed1ab_0.conda”h+Œ 2cc61ba1dd53f0806247333f1294e058”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/codecov-2.1.13-pyhd8ed1ab_0.conda”h0Œ@3576f3bdec7317b8623287264b6af28108eb92e285964f6571878fe4a3feff5a”h2NhNh3Œcoverage”Œpython >=3.3”Œrequests >=2.7.9”‡”h9h?h@Œ
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ipyvtklink”Œ
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Apache-2.0”hBŒAPACHE”hDGAÙRkKÇhEMô{hFˆubh)”}”(hŒconda-devenv”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%conda-devenv-2.4.0-pyhd8ed1ab_0.conda”h+Œ 41bf10a153e2dd534f7fa78da7ac0061”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/conda-devenv-2.4.0-pyhd8ed1ab_0.conda”h0Œ@aa17ad0ae7af299355b8dae29547bde54c33fea7ba81db9bcee976dd134c7123”h2NhNh3(Œconda >=4.3”Œjinja2”Œ	packaging”Œpython >=3.6”Œpyyaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ	O`r°hEMznhFˆubh)”}”(hŒ$conda-forge-feedstock-check-solvable”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ=conda-forge-feedstock-check-solvable-0.3.1-pyhd8ed1ab_0.conda”h+Œ 8228bc1ca9ca117ad222823534ca701a”h-Nh.Œkhttps://conda.anaconda.org/conda-forge/noarch/conda-forge-feedstock-check-solvable-0.3.1-pyhd8ed1ab_0.conda”h0Œ@438cfc0f8d682b12c095470629b590c635496df680efd05c3150f4db1d8883ad”h2NhNh3(Œ
cachetools”Œconda”Œconda-build”Œconda-forge-metadata >=0.2.0”Œconda-package-handling”Œconda-smithy”Œmamba >=0.23”Œpython >=3.7”Œpython-rapidjson”Œrequests”Œruamel.yaml”Œruamel.yaml.jinja2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ•Š\“hEM(@hFˆubh)”}”(hŒconda-forge-metadata”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-conda-forge-metadata-0.5.0-pyhd8ed1ab_0.conda”h+Œ fe17ac325bdb523ca3fadf26255c8c4c”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/conda-forge-metadata-0.5.0-pyhd8ed1ab_0.conda”h0Œ@16ec08d3e22575e7179882d5185ad2e0a0808812ef2f9eac8830ed648b6e3ac4”h2NhNh3(Œconda-oci-mirror”Œpython >=3.6”Œrequests”Œruamel.yaml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙS¢žùÛhEMû3hFˆubh)”}”(hŒconda-forge-pinning”h#Œ2023.06.16.10.05.26”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ8conda-forge-pinning-2023.06.16.10.05.26-hd8ed1ab_0.conda”h+Œ 7904a74bc1918a67df34eaf02f5e486c”h-Nh.Œfhttps://conda.anaconda.org/conda-forge/noarch/conda-forge-pinning-2023.06.16.10.05.26-hd8ed1ab_0.conda”h0Œ@7cd4eea944edf18e0dc9f1405ab13b19586acc135475f3585b96beefc41dc918”h2NhNh3)h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ#p“uhEMihFˆubh)”}”(hŒconda-forge-repodata-patches”h#Œ20230612.09.10.50”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ?conda-forge-repodata-patches-20230612.09.10.50-hd8ed1ab_0.conda”h+Œ cd56716e023e1ff29862786127da62ce”h-Nh.Œmhttps://conda.anaconda.org/conda-forge/noarch/conda-forge-repodata-patches-20230612.09.10.50-hd8ed1ab_0.conda”h0Œ@79d21c9142f6cb63892659f4e6bc35347857060a61606f5f3aca0b74bd13c9c1”h2NhNh3)h9hºh@ŒCC-PDDC”hDGAÙ!¸ÄÁ©ühEJD~0 hFˆubh)”}”(hŒconda-index”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$conda-index-0.2.3-pyhd8ed1ab_0.conda”h+Œ 962d9bb20afaa4b839912bb4cd9869a2”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/conda-index-0.2.3-pyhd8ed1ab_0.conda”h0Œ@1562176f33affec7b2af35eefa60da11cf7a5299edb1b664832f6d39c73ae0f1”h2NhNh3(Œ	click >=8”Œconda >=4.12.0”Œconda-package-streaming”Œfilelock”Œjinja2”Œmore-itertools”Œpython >=3.7”Œ
pyyaml >=6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØã~mæéyhEJèŽ hFˆubh)”}”(hŒconda-libmamba-solver”h#Œ23.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/conda-libmamba-solver-23.5.0-pyhd8ed1ab_0.conda”h+Œ daab2adce8c85d443982eb779ecd4b4d”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/conda-libmamba-solver-23.5.0-pyhd8ed1ab_0.conda”h0Œ@ffdc29362dc5b208b0c41c8cc4ad0724b4a3bf0dcbcefadb3ab8b1e0511d24b8”h2NhNh3(Œboltons >=23.0.0”Œconda >=23.5.0”Œlibmambapy >=1.4.1”Œpython >=3.8”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙâšn˜hEM¼ŸhFˆubh)”}”(hŒ
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python >=3”Œpyyaml”Œrequests”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ {¿l‹hEM…yhFˆubh)”}”(hŒconda-oci-mirror”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)conda-oci-mirror-0.1.0-pyhd8ed1ab_0.conda”h+Œ 8a3a8596d99abe7a1acbf5c794f21624”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/conda-oci-mirror-0.1.0-pyhd8ed1ab_0.conda”h0Œ@ab2228d75f39a860d02df481f26e2df1dc41ebd2d442900fbfe709e059ab36ee”h2NhNh3(Œclick”Œconda-package-handling”Œoras-py 0.1.14.*”Œpython >=3.7”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ¤¯²hEM€{hFˆubh)”}”(hŒconda-package-handling”h#Œ2.0.2”h%Œpyh38be061_0”h'K hhh(h)hŒ/conda-package-handling-2.0.2-pyh38be061_0.conda”h+Œ 44800e9bd13143292097c65e57323038”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/conda-package-handling-2.0.2-pyh38be061_0.conda”h0Œ@c453b2a648e7a059f26326d476069cf81627c9a3fa12da4ab22eb39e7bfdc095”h2NhNh3Œconda-package-streaming >=0.7.0”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØâ0³ûC–hEJ,Ý hFˆubh)”}”(hŒconda-package-streaming”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0conda-package-streaming-0.8.0-pyhd8ed1ab_0.conda”h+Œ ebe3230a4c1e135954eee4fb6ef8cded”h-Nh.Œ^https://conda.anaconda.org/conda-forge/noarch/conda-package-streaming-0.8.0-pyhd8ed1ab_0.conda”•      h0Œ@a437007aa798f6d1c9f079f4dbb2a38685ac306d5a5ce3d1ee797c2de9f7d6e9”h2NhNh3Œpython >=3.7”Œzstandard >=0.15”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ&»Ä(öhEMŽIhFˆubh)”}”(hŒconda-project”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&conda-project-0.2.0-pyhd8ed1ab_0.conda”h+Œ 1f1e0349ddde3ea264a474b3d9daf3e7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/conda-project-0.2.0-pyhd8ed1ab_0.conda”h0Œ@65a51d87c2a1c1522ece4f81be6e3377514b6aeb3addd2cfd6b585584ae1afa1”h2NhNh3(Œconda-lock >=1.2”Œfsspec”Œlockfile”Œpexpect”Œpydantic”Œpython >=3.8,<3.12”Œpython-dotenv”Œpython-libarchive-c”Œruamel.yaml”Œshellingham”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÁ^vÉhEMfnhFˆubh)”}”(hŒconda-smithy”h#Œ3.23.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&conda-smithy-3.23.1-pyhd8ed1ab_0.conda”h+Œ 3f5680f28f87bfdfe5b0c975a7d58d8c”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/conda-smithy-3.23.1-pyhd8ed1ab_0.conda”h0Œ@74165f8f3548ce3e0a94c70c26a75be3956f04571668b7dbabafb6d158c6d244”h2NhNh3(Œconda >=4.2”Œconda-build >=3.18.3”Œconda-forge-pinning”Œconda-package-handling >=1.9.0”Œgit”Œ	gitpython”Œjinja2”Œ
libarchive”Œlicense-expression”Œpycryptodome”Œpygithub <2”Œpython >=3.6”Œrequests”Œruamel.yaml >=0.16”Œscrypt”Œ
setuptools”Œtoolz”Œvsts-python-api”t”h6Œ
shellcheck”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ–~$ÌÍhEJZ hFˆubh)”}”(hŒconda-store”h#Œ0.4.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%conda-store-0.4.14-pyhd8ed1ab_0.conda”h+Œ 6cd15172ed47448f020be544887d9746”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/conda-store-0.4.14-pyhd8ed1ab_0.conda”h0Œ@9511cdcb9427e35b49056abe50a2b97069c7d7cf9f8136d2b035fb026f6b6df8”h2NhNh3(Œaiohttp”Œclick”Œpython >=3.8”Œrich”Œruamel.yaml”Œyarl”t”h6Œ'conda-store-server >=0.4.14,<0.4.15.0a0”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙžJ=qhEM@ChFˆubh)”}”(hŒconda-store-server”h#Œ0.4.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,conda-store-server-0.4.14-pyhd8ed1ab_0.conda”h+Œ 6a534f9795826b8093cf8f06c63054d8”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/conda-store-server-0.4.14-pyhd8ed1ab_0.conda”h0Œ@926abd109b91af0e75ee6385e947bfa93d201506e3cf3ecd1b400c1b1310ff41”h2NhNh3(Œalembic”Œcelery”Œconda-docker”Œ
conda-pack”Œfastapi”Œfilelock”Œitsdangerous”Œjinja2”Œminio”Œpydantic”Œpyjwt”Œpython >=3.8”Œpython-multipart”Œpyyaml”Œredis-py”Œrequests”Œ
sqlalchemy”Œ	traitlets”Œuvicorn”Œyarl”t”h6Œ conda-store >=0.4.14,<0.4.15.0a0”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙž%ð´9hEJœ“ hFˆubh)”}”(hŒ
conda-tree”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#conda-tree-1.1.0-pyhd8ed1ab_0.conda”h+Œ f47b4fbd862cc05b914d2e4862df72a1”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/conda-tree-1.1.0-pyhd8ed1ab_0.conda”h0Œ@3a7f989bdcb5a6a284d092745892f8f27d15b348a02b95229d258899d418fd82”h2NhNh3(Œcolorama”Œconda”Œnetworkx”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØêü~ßß;hEMa0hFˆubh)”}”(hŒ
conda-tree”h#Œ1.1.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#conda-tree-1.1.0-pyhd8ed1ab_1.conda”h+Œ 16884a608ea8cc1d3b2772edec2ee6b5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/conda-tree-1.1.0-pyhd8ed1ab_1.conda”h0Œ@5bfe76f1d0c2a0b96ca2f3b1489f563ff3710b169e87242d9cbc3181e8c61751”h2NhNh3(Œcolorama”Œconda”Œnetworkx”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙeú¾‡+hEMj1hFˆubh)”}”(hŒ
conda-tree”h#Œ1.1.0”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ#conda-tree-1.1.0-pyhd8ed1ab_2.conda”h+Œ 184216409957e082712d750862782903”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/conda-tree-1.1.0-pyhd8ed1ab_2.conda”h0Œ@54e9cf114ca4eaeda91b5bb11a09d4391ba4be8a4fb2911259fc7dc2ec636054”h2NhNh3(Œcolorama”Œconda”Œnetworkx”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙfìq&éhEMk1hFˆubh)”}”(hŒconda_envfile”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&conda_envfile-0.4.2-pyhd8ed1ab_0.conda”h+Œ 657306cd57eb211d08ed45398fbc7f28”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/conda_envfile-0.4.2-pyhd8ed1ab_0.conda”h0Œ@68da98ecf52c7959de3d2edc4b7599a6654fb042eaf1aeb73994bf1f40988e5f”h2NhNh3(Œclick”Œjinja2”Œ	packaging”Œprettytable”Œ
python >=3”Œpyyaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAØñfÚß®hEMBhFˆubh)”}”(hŒ	configobj”h#Œ5.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"configobj-5.0.8-pyhd8ed1ab_0.conda”h+Œ 04c71f400324538d4396407ea2ffb34f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/configobj-5.0.8-pyhd8ed1ab_0.conda”h0Œ@ee523a09a70c4ef71418b12ea3086169b69969dbfa382791dbde5e1a00e41728”h2NhNh3Œpython >=3.6”Œsix”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØò¼ênÙhEMÓ‘hFˆubh)”}”(hŒconfigurator”h#Œ3.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%configurator-3.1.0-pyhd8ed1ab_0.conda”h+Œ 8334887d21e8c0b8db5ffac47f016604”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/configurator-3.1.0-pyhd8ed1ab_0.conda”h0Œ@db80e8387f57ccdfbd486664b4d69e3b2072ea1fcf9aaa560ecd820dd551232e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØá>£}²-hEM“=hFˆubh)”}”(hŒ
conflowgen”h#Œ2.0.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#conflowgen-2.0.1-pyhd8ed1ab_1.conda”h+Œ d106fc5641050683dd479a4789d0a450”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/conflowgen-2.0.1-pyhd8ed1ab_1.conda”h0Œ@aa50aceb3ac54e4880b7edaacbd944f5b9e08efbb30252998be1b93007228957”h2NhNh3(Œenum_tools >=0.7”Œmatplotlib-base”Œnumpy”Œopenpyxl”Œ
pandas >=1”Œ
peewee >=3”Œplotly”Œpython >=3.8”Œpython-kaleido”Œscipy”Œseaborn”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÜ›¦hEJ"œ hFˆubh)”}”(hŒconfuse”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ confuse-2.0.1-pyhd8ed1ab_0.conda”h+Œ d8cdc3e3eb0849cb248fa5d43a72a59f”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/confuse-2.0.1-pyhd8ed1ab_0.conda”h0Œ@ed742aba89e466d3b12f1c679f2a4c88cc536ce2214fc1df9edc5c532080599c”h2NhNh3Œpython >=3.6”Œpyyaml”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ[ÔrMÓhEMÖihFˆubh)”}”(hŒconfz”h#Œ1.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒconfz-1.8.1-pyhd8ed1ab_0.conda”h+Œ a5e1badfe0c32802648071319b0bd40e”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/confz-1.8.1-pyhd8ed1ab_0.conda”h0Œ@d08b099fafc0278e58797844e65f67405a81da5a293150b742ca347db357ec89”h2NhNh3(Œpydantic >=1.9.0,<2.0.0”Œpython >=3.7.2,<4.0”Œpython-dotenv >=0.19.2,<0.22.0”Œpyyaml >=5.4.1,<7.0.0”Œtoml >=0.10.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØéx“uhEMvKhFˆubh)”}”(hŒconjure-python-client”h#Œ2.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.conjure-python-client-2.8.0-pyhd8ed1ab_0.conda”h+Œ 8fc751912aaa4dc2b03910bbfc2006c5”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/conjure-python-client-2.8.0-pyhd8ed1ab_0.conda”h0Œ@b59dd7a30db47ad86dd69df16f7444383353961ade809af98a324df34c5c46ac”h2NhNh3Œpython >=3.8”Œrequests”†”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØô›V<(öhEJA hFˆubh)”}”(hŒ	connexion”h#Œ2.14.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#connexion-2.14.2-pyhd8ed1ab_1.conda”h+Œ d15744aeb29bbb38c8eebc20af21d788”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/connexion-2.14.2-pyhd8ed1ab_1.conda”h0Œ@533529503cb8f3e89621429cd9d2defa755a932d9fcbcebb0ad7cf6a810a65b4”h2NhNh3(Œclickclick >=1.2,<21”Œflask >=1.0.4,<2.3”Œinflection >=0.3.1,<0.6”Œitsdangerous >=0.24”Œjsonschema >=2.5.1,<5”Œpackaging >=20”Œpython >=3.8”Œpyyaml >=5.1,<7”Œrequests >=2.9.1,<3”Œwerkzeug >=1.0,<2.3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙŸ‹ÊÐåhEJë hFˆubh)”}”(hŒconservedwatersearch”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-conservedwatersearch-0.1.2-pyhd8ed1ab_0.conda”h+Œ a2e4cb74f26ec05077f0173f3c117ac0”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/conservedwatersearch-0.1.2-pyhd8ed1ab_0.conda”h0Œ@aab85f14d542707554a8306d3c2a6834607cd1fc1d5ef5ceb633311acd363546”h2NhNh3(Œhdbscan”Œmatplotlib-base”Œnglview”Œnumpy”Œpymol-open-source”Œpython >=3.7”Œscikit-learn”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØü=~ÂhEM8{hFˆubh)”}”(hŒconstructor”h#Œ3.4.3”h%Œpyh95a074a_0”h'K hhh(h)hŒ$constructor-3.4.3-pyh95a074a_0.conda”h+Œ 01db94c8ef9cfa5e5860184c2d2f0dda”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/constructor-3.4.3-pyh95a074a_0.conda”h0Œ@f9df3567ca310096bf7451a598abc82330aae3c83e7708eefb3971180032bded”h2NhNh3(Œ__win”Œconda >=4.6,<23.1.0”Œconda-standalone”Œnsis >=3.08”Œpillow >=3.1”Œpython >=3.7”Œruamel_yaml >=0.11.14,<0.16”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØú„ë#¥ãhEJºW hFˆubh)”}”(hŒconstructor”h#Œ3.4.3”h%Œpyhe4f9e05_0”h'K hhh(h)hŒ$constructor-3.4.3-pyhe4f9e05_0.conda”h+Œ 531dd21a6980012d3f5c01f9e5335c5b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/constructor-3.4.3-pyhe4f9e05_0.conda”h0Œ@311cd96ecabd6557daa8aecaef858fb053acf4cda195a1d34a9a28c998807596”h2NhNh3(Œ__unix”Œconda >=4.6,<23.1.0”Œconda-standalone”Œpillow >=3.1”Œpython >=3.7”Œruamel_yaml >=0.11.14,<0.16”t”h6Œnsis >=3.08”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØú‚ªo²hEJÜS hFˆubh)”}”(hŒconstyle”h#Œ2.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!constyle-2.0.3-pyhd8ed1ab_0.conda”h+Œ ae7339ed6b8612818e9f3e0031002326”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/constyle-2.0.3-pyhd8ed1ab_0.conda”h0Œ@a21693108064833034e7c7594d6731a5daef9a9ad55b87c33e1c1b7671d17736”h2NhNh3Œattributes-doc >=0.3.0”Œ#importlib-metadata >=4.11.0,<5.0.0a”Œpython >=3.7”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAÙ¤HºÀƒhEMOhhFˆubh)”}”(hŒ
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mercantile”Œpillow”Œpython >=3.6”Œrasterio”Œrequests”Œxyzservices”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØøS¦ÙÊÁhEM]LhFˆubh)”}”(hŒcontrol”h#Œ0.9.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ control-0.9.4-pyhd8ed1ab_0.conda”h+Œ b280aa08c95e7d45c7d90a29830de7ec”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/control-0.9.4-pyhd8ed1ab_0.conda”h0Œ@809a34770734cd1949ef3ef1281b99ef9fd727871e916f723686850df63c7f2d”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.8”Œscipy”Œslycot”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ!	_ïžhEJÒÎ hFˆubh)”}”(hŒ	cool_maps”h#Œ0.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cool_maps-0.0.9-pyhd8ed1ab_0.conda”h+Œ 974752956468924f181a3eddcda6c4d3”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cool_maps-0.0.9-pyhd8ed1ab_0.conda”h0Œ@9ded47135e0e90852e15deeb90d81d5da5ac54dadb490d2e8f83271a83abdda9”h2NhNh3(Œcartopy”Œcmocean”Œerddapy”Œmatplotlib-base”Œnumpy”Œoceans”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙT¡FÙhEM#?hFˆubh)”}”(hŒcoolname”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!coolname-2.2.0-pyhd8ed1ab_0.conda”h+Œ 25aac2e9aa64518428dcd7b4aa872808”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/coolname-2.2.0-pyhd8ed1ab_0.conda”h0Œ@1e1651c5e2a6ea6488c204f2310da3a281c872db1c9be4f879511790662dadcb”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØï'úóSøhEM•hFˆubh)”}”(hŒcopier”h#Œ8.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcopier-8.0.0-pyhd8ed1ab_0.conda”h+Œ 7ec6341fbeb69e1e1c483cc5113b8fdc”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/copier-8.0.0-pyhd8ed1ab_0.conda”h0Œ@a03084c90680eeaadffd984c49b2e5bb7faa9ee7bd4f657992c5534e5a83ee91”h2NhNh3(Œcolorama >=0.4.3”Œdecorator >=5.1.1”Œdunamai >=1.7.0”Œfuncy >=1.17”Œ
git >=2.27”Œjinja2 >=3.1.1”Œjinja2-ansible-filters >=1.3.1”Œpackaging >=23.0”Œpathspec >=0.9.0”Œplumbum >=1.6.9”Œpydantic >=1.10.2”Œpygments >=2.7.1”Œpython >=3.8”Œpyyaml >=5.3.1”Œpyyaml-include >=1.2”Œquestionary >=1.8.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙa/§ðhEMi–hFˆubh)”}”(hŒcopier-templates-extensions”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4copier-templates-extensions-0.3.0-pyhd8ed1ab_0.conda”h+Œ aa64a644020a2a53b9194b62f0f2e3ae”h-Nh.Œbhttps://conda.anaconda.org/conda-forge/noarch/copier-templates-extensions-0.3.0-pyhd8ed1ab_0.conda”h0Œ@8d571b4638227a8e34d39d90a7fe1ad5dba01b80daf32851cf3fbd9ca66f9c6f”h2NhNh3Œ
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setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ2ì+SøhEJâ¸ hFˆubh)”}”(hŒdask-ms”h#Œ0.2.16”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!dask-ms-0.2.16-pyhd8ed1ab_0.conda”h+Œ cc9a55ca1ad99c7f0e17e83a10d01b60”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/dask-ms-0.2.16-pyhd8ed1ab_0.conda”h0Œ@e7f87f132c24bfd6f742e13a793013630da94e246d5a27eb39d3b9919d77e9a4”h2NhNh3(Œappdirs”Œdask >=2023.1.0”Œdonfig”Œnumpy >=1.24.0”Œpyarrow >=12.0.0”Œpython >=3.8”Œpython-casacore >=3.5.1”Œs3fs >=2023.1.0”Œxarray >2023.1.0”Œzarr >=2.12.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ#××²hEJív hFˆubh)”}”(hŒdask-sphinx-theme”h#Œ3.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*dask-sphinx-theme-3.0.5-pyhd8ed1ab_0.conda”h+Œ 86b104b03a904bdc6b3fa5539e9acbc9”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/dask-sphinx-theme-3.0.5-pyhd8ed1ab_0.conda”h0Œ@4ee4ca50c1f52f2bc17d0171b1cb19cd3df73033d1bf48115c9664946d9bc18c”h2NhNh3Œ
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urllib3 <2”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙä'/+hEJ$\ hFˆubh)”}”(hŒdata-morph-ai”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&data-morph-ai-0.1.0-pyhd8ed1ab_0.conda”h+Œ becbfa06cbff98dcfe33020503a441ac”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/data-morph-ai-0.1.0-pyhd8ed1ab_0.conda”h0Œ@7696f4cd57ce6ea4977f019d9bb67f045840ed372e646e7ac0c1b5048b69a4f6”h2NhNh3(Œmatplotlib-base >=3.3”Œnumpy >=1.20”Œpandas >=1.2”Œpython >=3.9”Œpytweening >=1.0.3”Œscipy >=1.10.0”Œtqdm >=4.64.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙLlí‘hEMª´hFˆubh)”}”(hŒdatabricks-cli”h#Œ0.17.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(databricks-cli-0.17.7-pyhd8ed1ab_0.conda”h+Œ cb44b4e93848f13dce352c422285ac45”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/databricks-cli-0.17.7-pyhd8ed1ab_0.conda”h0Œ@1c2ec6c6125bc1c1d100b75e1f5dfda09c56cd516157d2d5b01c1aa69fdd0dbd”h2NhNh3(Œclick >=7.0”Œconfigparser >=0.3.5”Œoauthlib >=3.1.0”Œpyjwt >=1.7.0”Œpython >=3.6”Œrequests >=2.17.3”Œsix >=1.10.0”Œtabulate >=0.7.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ?´þhEJtU hFˆubh)”}”(hŒdatabricks-cli”h#Œ0.17.7”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ(databricks-cli-0.17.7-pyhd8ed1ab_1.conda”h+Œ 348c2ecbb2d9266936c40506d71bc1d6”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/databricks-cli-0.17.7-pyhd8ed1ab_1.conda”h0Œ@a5116a1b41ebd90a647f58d677d271cb6a81c4f5bd44f1acb21a47655b327b78”h2NhNh3(Œclick >=7.0”Œconfigparser >=0.3.5”Œoauthlib >=3.1.0”Œpyjwt >=1.7.0”Œpython >=3.6”Œrequests >=2.17.3”Œsix >=1.10.0”Œtabulate >=0.7.7”Œurllib3 >=1.26.7,<2.0.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ-Ç^‡+hEJ-T hFˆubh)”}”(hŒdatabricks-sql-connector”h#Œ2.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1databricks-sql-connector-2.6.2-pyhd8ed1ab_0.conda”h+Œ 657c9cc0027f4ef4be4ce4f145d2b4c3”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/databricks-sql-connector-2.6.2-pyhd8ed1ab_0.conda”h0Œ@4131b7d26349762d67026186dace0285aaa6e11baef69d6e18e90e80e603d3ef”h2NhNh3(Œalembic >=1.0.11,<2.0.0”Œlz4 >=4.0.2,<5.0.0”Œnumpy >=1.23.4”Œoauthlib >=3.1.0,<4.0.0”Œopenpyxl >=3.0.10,<4.0.0”Œpandas >=1.2.5,<2.0.0”Œpyarrow >=10.0.1”Œpython >=3.7.1,<4.0”Œrequests >=2.18.1,<3.0.0”Œsqlalchemy >=1.3.24,<2.0.0”Œthrift >=0.16.0,<0.17.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ"­äzáhEJ; hFˆubh)”}”(hŒ
databroker”h#Œ2.0.0b23”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&databroker-2.0.0b23-pyhd8ed1ab_0.conda”h+Œ 06d09a2421608744fa81e1c505672d4b”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/databroker-2.0.0b23-pyhd8ed1ab_0.conda”h0Œ@2da8953051fa52a3e1545ed136b10a7298721612ed2e160fd36cd7586f7760b8”h2NhNh3(Œarea-detector-handlers”Œboltons”Œ
cachetools”Œdoct”Œentrypoints”Œevent-model”Œfastapi”Œhumanize”Œjinja2”Œ
jsonschema”Œ	mongomock”Œ
mongoquery”Œmsgpack-python >=1.0.0”Œorjson”Œpims”Œpydantic”Œpymongo”Œpython >=3.6”Œpytz”Œ	starlette”Œtiled >=0.1.0a91”Œtiled-client”Œtiled-server”Œtoolz”Œtzlocal”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÍá¬¬hEJÝC hFˆubh)”}”(hŒ
dataclassy”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dataclassy-1.0.1-pyhd8ed1ab_0.conda”h+Œ a6abce8cc0e9263b1c3e41765d6d3237”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dataclassy-1.0.1-pyhd8ed1ab_0.conda”h0Œ@c536392f4e464dc3d845d69293b58c3e399785c8e7b6041dc104e16be33e394a”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAØð´6þ¸RhEMË{hFˆubh)”}”(hŒ	datacompy”h#Œ0.10.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#datacompy-0.10.1-pyhd8ed1ab_0.conda”h+Œ 4500a4913aa0c0baff67832b27c0dc10”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/datacompy-0.10.1-pyhd8ed1ab_0.conda”h0Œ@90eccb0c8eaf540ef5e29729ccf51107401e567b635954fcecfc551bb947fedc”h2NhNh3(Œfugue <=0.8.4,>=0.8.4”Œnumpy <=1.24.2,>=1.22.0”Œordered-set <=4.1.0,>=4.0.2”Œpandas <=1.5.3,>=0.25.0”Œpython >=3.8”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ™_À“uhEM×’hFˆubh)”}”(hŒdataconf”h#Œ2.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!dataconf-2.2.1-pyhd8ed1ab_0.conda”h+Œ 965fadceccea3fd21416943b1ef75dcf”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/dataconf-2.2.1-pyhd8ed1ab_0.conda”h0Œ@e0ee4bcccbd1e9b8750dd6883da54af97353ecccb84fd1293238cf3df5bb549e”h2NhNh3(Œpyhocon >=0.3.59,<0.4.0”Œpyparsing ~=2.0”Œpython >=3.8”Œpython-dateutil >=2.8.2,<3.0.0”Œpyyaml >=6.0”t”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAÙJâÑ‰7hEMþQhFˆubh)”}”(hŒdatacube”h#Œ1.8.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"datacube-1.8.13-pyhd8ed1ab_0.conda”h+Œ da83023aafe244d6e44576fbf2e8fc8e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/datacube-1.8.13-pyhd8ed1ab_0.conda”h0Œ@cb7aa57e50d55e74549e6bb70946d51d5d4007f38df05f2ad86fa005d509f6ae”h2NhNh3(Œaffine”Œattrs”Œboto3”Œ
cachetools”Œclick >=5.0”Œcloudpickle >=0.4”Œ	dask-core”Œdistributed”Œgeoalchemy2”Œ
jsonschema”Œlark”Œnetcdf4”Œnumpy”Œpandas”Œpsycopg2”Œpyproj >=2.5”Œpython >=3.8”Œpython-dateutil”Œpyyaml”Œrasterio >=1.3.2”Œruamel.yaml”Œshapely >=2”Œsqlalchemy <2.0”Œtoolz”Œxarray >=0.9,!=2022.6.0”t”h9h?h@Œ
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setuptools”Œtyping-extensions >=3.10.0.2”Œwheel >=0.33.1”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ=C_;dhEJªy hFˆubh)”}”(hŒdataretrieval”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&dataretrieval-1.0.4-pyhd8ed1ab_0.conda”h+Œ 5838af4e7eddfa75231cd34be1e51605”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/dataretrieval-1.0.4-pyhd8ed1ab_0.conda”h0Œ@3aac2f8ab47a9071f6a069348949acfa83bde579030de6b3957e3050d961c773”h2NhNh3Œpandas”Œpython >=3.6”Œrequests”‡”h9h?h@ŒCC0-1.0”hDGAÙy@mOßhEMšshFˆubh)”}”(hŒ	datarobot”h#Œ3.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"datarobot-3.1.1-pyhd8ed1ab_0.conda”h+Œ e84ca20576db42fe1f8a25bd2a20e0c8”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/datarobot-3.1.1-pyhd8ed1ab_0.conda”h0Œ@f9b4c8d9751c7dce7f726bf269113808029330e393188827425707002e6533cd”h2NhNh3(Œcontextlib2 >=0.5.5”Œnumpy”Œpandas >=0.15”Œpython >=3.7”Œpyyaml >=3.11”Œrequests >=2.21”Œrequests-toolbelt >=0.6”Œtrafaret !=1.1.0,<2.2,>=0.7”Œtyping-extensions 4.3.0”Œurllib3 >=1.23”t”h9h?h@Œ
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setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØý•¸1'hEJÚ@	 hFˆubh)”}”(hŒdataset”h#Œ1.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ dataset-1.6.0-pyhd8ed1ab_0.conda”h+Œ 28d80d8c4f10405feccfa4ea59dbe574”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dataset-1.6.0-pyhd8ed1ab_0.conda”h0Œ@37c5b95900778f0f73b1c2fdde876550ff8d868afe08f222ece9ca695ebc0a66”h2NhNh3(Œalembic >=0.6.2”Œbanal >=1.0.2”Œpython >=3.5”Œsqlalchemy >=1.3.2,<2.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØöqîþùÛhEM|VhFˆubh)”}”(hŒdatasets”h#Œ2.13.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"datasets-2.13.0-pyhd8ed1ab_0.conda”h+Œ be03b397c5d8bfb2ef359fb3e25fccc6”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/datasets-2.13.0-pyhd8ed1ab_0.conda”h0Œ@87bfeeee64757a1c2e78e07b665c50e6f316e7cad821be2c4ed10f2ef809d42f”h2NhNh3(Œaiohttp”Œdill >=0.3.0,<0.3.7”Œfsspec >=2021.11.1”Œhuggingface_hub >=0.2.0,<1.0.0”Œimportlib-metadata”Œmultiprocess”Œnumpy >=1.17”Œ	packaging”Œpandas”Œpyarrow >=6.0.0”Œpython >=3.6”Œpython-xxhash”Œpyyaml >=5.1”Œrequests >=2.19.0”Œresponses <0.19”Œtqdm >=4.62.1”t”h9h?h@Œ
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markupsafe”Œmergedeep >=1.1.1,<1.4.0”Œ
pint ~=0.9”Œpluggy >=1.0,<1.1”Œpython >=3.7”Œpython-baseconv 1.2.2”Œpyyaml >=5.3,<7.0”Œuvicorn ~=0.11”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ÷ÖˆbhEJYï hFˆubh)”}”(hŒdatasette-graphql”h#Œ2.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*datasette-graphql-2.1.2-pyhd8ed1ab_0.conda”h+Œ ce742d49484407d6fa1ea6f763b5ec35”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/datasette-graphql-2.1.2-pyhd8ed1ab_0.conda”h0Œ@da187064a5c245d574637af3f53850bb43ad4aa2c92627f4796f7a46d7677506”h2NhNh3(Œdatasette >=0.58.1”Œgraphene >=3.1.0,<4.0”Œgraphql-core >=3.1.7”Œpython >=3.6”Œsqlite-utils”t”h9h?h@Œ	SGI-B-2.0”hDGAØÞò0“uhEJÊ hFˆubh)”}”(hŒ
datashader”h#Œ0.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$datashader-0.15.0-pyhd8ed1ab_0.conda”h+Œ adb1da69c960c07797b02fbf98a819bb”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/datashader-0.15.0-pyhd8ed1ab_0.conda”h0Œ@7d076acb9bab4196b71c851d83bae2cee3125007c40d68c5c025616ddd55cf3d”h2NhNh3(Œcolorcet”Œ	dask-core”Œ	datashape”Œnumba”Œnumpy”Œpandas”Œparam”Œpillow”Œpyct”Œpython >=3.8”Œrequests”Œscipy”Œtoolz”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÃø{hEJÄ'hFˆubh)”}”(hŒ	datastock”h#Œ0.0.27”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#datastock-0.0.27-pyhd8ed1ab_0.conda”h+Œ 37e9950c644a4b3a7909810f468ff460”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/datastock-0.0.27-pyhd8ed1ab_0.conda”h0Œ@33e4266b548dcf2c36903c3fea45a2d1dbdefd160ebd28fc706a7e11b9dc278e”h2NhNh3(Œastropy”Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙDø|1hEJ”c hFˆubh)”}”(hŒdatatoolbox”h#Œ0.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$datatoolbox-0.5.4-pyhd8ed1ab_0.conda”h+Œ fca92e43765aa767dd1d45ddd1ecab0f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/datatoolbox-0.5.4-pyhd8ed1ab_0.conda”h0Œ@c960b9d3d2939d6da8a3696e850282ce78005f52862faa74037c275577205283”h2NhNh3(Œappdirs”Œ
deprecated”Œ
fuzzywuzzy”Œ	gitpython”Œnetworkx >=2.4.0”Œopenpyxl”Œopenscm-units”Œpandas >=1.1.0”Œpint”Œpint-xarray”Œpyam >=1.4.0”Œ	pycountry”Œpython >=3.6”Œpython-docx”Œtabulate”Œtqdm”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØãlÉ²hEJj< hFˆubh)”}”(hŒ
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      h)”}”(hŒ
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dbt-dremio”h#Œ1.4.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dbt-dremio-1.4.5-pyhd8ed1ab_0.conda”h+Œ bac9f2c0c030cbf84c35964890d5de2b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dbt-dremio-1.4.5-pyhd8ed1ab_0.conda”h0Œ@f5ada251374df8f8d0579fd311eaf95c5be0835e9bc8479c6f4059ca1caf9c39”h2NhNh3Œdbt-core >=1.2,<=1.4.5”Œpython >=3.7,<3.11”†”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAÙ´©\(öhEMákhFˆubh)”}”(hŒdbt-snowflake”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&dbt-snowflake-1.5.1-pyhd8ed1ab_0.conda”h+Œ f775eb24ad9e44c2289b59fca87dc51d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/dbt-snowflake-1.5.1-pyhd8ed1ab_0.conda”h0Œ@d26ee061ab620fdac3aff21e35c32281dc7b10b326447d317437df620c6e824e”h2NhNh3Œdbt-core >=1.5.0,<1.6.dev0”Œpython >=3.7”Œ(snowflake-connector-python >=3.0,<4.dev0”‡”h9h?h@Œ
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5hFˆubh)”}”(hŒdecaylanguage”h#Œ0.15.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'decaylanguage-0.15.3-pyhd8ed1ab_0.conda”h+Œ 96d4e0369cbc262d65fabca13a775f9f”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/decaylanguage-0.15.3-pyhd8ed1ab_0.conda”h0Œ@74b6d6f93600f3631e9a1d35bf91cd045e5964b6fee600f1496e455f810c13ae”h2NhNh3(Œattrs >=19.2”Œ
deprecated”Œimportlib_resources >=2.0”Œlark >=1.0.0”Œnumpy >=1.12”Œpandas >=0.22”Œparticle >=0.21.0”Œplumbum >=1.7.0”Œpython >=3.7”Œpython-graphviz”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ¸€³¥ãhEJŽ| hFˆubh)”}”(hŒdecorrelation”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&decorrelation-0.2.0-pyhd8ed1ab_0.conda”h+Œ 23d2ffd59cb20c9a4940c5c35707f18d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/decorrelation-0.2.0-pyhd8ed1ab_0.conda”h0Œ@2c1613f11d07953e1eab3d582484e4eb266820851b8016b893d947236dc08479”h2NhNh3(Œcolorcet”Œdask”Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œscipy”Œzarr”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAÙt^ØƒhEM]zhFˆubh)”}”(hŒ	deduplipy”h#Œ0.7.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#deduplipy-0.7.10-pyhd8ed1ab_0.conda”h+Œ 429d668e15ff8a7021fe2091f307e399”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/deduplipy-0.7.10-pyhd8ed1ab_0.conda”h0Œ@88bb765bef52babb576759134c3f887bf21dedec46c8c408bb26369ddfa0e075”h2NhNh3(Œfancyimpute”Œmodal”Œnetworkx”Œnumpy”Œopenpyxl”Œpandas”Œ	pyminhash”Œpytest”Œpython >=3.6”Œpython-levenshtein”Œscikit-learn”Œscipy”Œthefuzz”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙûÅŠ^5hEJª hFˆubh)”}”(hŒ
deepchecks”h#Œ0.17.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$deepchecks-0.17.3-pyhd8ed1ab_0.conda”h+Œ 13850a67679a1e0c59d8607219223d96”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/deepchecks-0.17.3-pyhd8ed1ab_0.conda”h0Œ@2d1117decf235b51f04a4b69922cef7ca02afe7bdd37e96b435ff11f39ccb0b8”h2NhNh3(Œbeautifulsoup4 >=4.11.1”Œcategory_encoders >=2.3.0”Œdataclasses >=0.6”Œimportlib_metadata >=1.4”Œimportlib_resources >=1.3”Œipykernel >=5.3.0”Œipython >=7.15.0,<8”Œipywidgets >=7.6.5,<8”Œjsonpickle >=2”Œmatplotlib-base >=3.3.4”Œnumpy >=1.19”Œpandas >=1.1.5”Œplotly >=5.13.1”Œpynomaly >=0.3.3”Œpython >=3.6”Œpyzmq <24.0.0”Œrequests >=2.22.0”Œscikit-learn >=0.23.2”Œscipy >=1.4.1”Œstatsmodels >=0.13.5”Œtqdm >=4.62.3”Œtyping-extensions >=4.0.0”t”h9h?h@ŒAGPL-3.0-or-later”hDGAÙ"Ï,Ý/hEJj‘W hFˆubh)”}”(hŒdeepchem”h#Œ2.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!deepchem-2.7.1-pyhd8ed1ab_0.conda”h+Œ 378c72ea7e1111dfa769de5ae5decc11”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/deepchem-2.7.1-pyhd8ed1ab_0.conda”h0Œ@309f78ac3bc5ab5ec3eba85039ca4ec3a344c1fdc3b4a503143d317064e42281”h2NhNh3(Œjoblib”Œnumpy”Œpandas”Œpython >=3.7,<3.10”Œscikit-learn”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØâ…+™7LhEJŽV hFˆubh)”}”(hŒdeepdiff”h#Œ6.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!deepdiff-6.3.0-pyhd8ed1ab_0.conda”h+Œ 67ce5e3eecbf1e5ff869269640ae6a53”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/deepdiff-6.3.0-pyhd8ed1ab_0.conda”h0Œ@f949d860d532a07587bdb8466310394d8c1af4dd89bb65d65219161fcc16db10”h2NhNh3Œordered-set >=4.1.0,<4.2.0”Œorjson”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙEì}¡ËhEM òhFˆubh)”}”(hŒdeepecho”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!deepecho-0.4.1-pyhd8ed1ab_0.conda”h+Œ 18fd5856013be8952e6e9862192b4a4e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/deepecho-0.4.1-pyhd8ed1ab_0.conda”h0Œ@da7c47c40c9f908a5eda6e4d0300695f9aba31704b6975176b2ef79009b31074”h2NhNh3(Œnumpy >=1.20.0,<2”Œpandas >=1.1.3”Œpython >=3.7,<3.11”Œpytorch >=1.8.0”Œtqdm >=4.15,<5”t”h9h?h@ŒBUSL-1.1”hDGAÙ]ž†ffhEMÃyhFˆubh)”}”(hŒ
deepforest”h#Œ1.2.4”h%Œpyha21a80b_0”h'K hhh(h)hŒ#deepforest-1.2.4-pyha21a80b_0.conda”h+Œ aa74b538b9dd52236314afaddf762c83”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/deepforest-1.2.4-pyha21a80b_0.conda”h0Œ@70325a12dc2ebd8b8879f0f71e2c864856326c310ff344156d225f0c96327051”h2NhNh3(Œalbumentations”Œ	geopandas”Œh5py”Œimagecodecs”Œmatplotlib-base”Œnumpy >=1.21.6,<2.0a0”Œnumpydoc”Œpandas”Œpillow”Œpip”Œpytest”Œpython >=3.6”Œpytorch”Œpytorch-lightning >=1.5.8”Œpyyaml >=5.1.0”Œrasterio”Œrecommonmark”Œrtree”Œsetuptools <59.6.0”Œslidingwindow”Œsphinx >=1.8”Œtorchvision”Œtqdm”Œ	xmltodict”t”h9h?h@ŒMIT”hBŒMIT”hDGAØö¾gÎÙhEJ;1hFˆubh)”}”(hŒdeepgram-sdk”h#Œ2.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%deepgram-sdk-2.5.0-pyhd8ed1ab_0.conda”h+Œ fe92fac154b4a38dbc5e82a1c80cf003”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/deepgram-sdk-2.5.0-pyhd8ed1ab_0.conda”h0Œ@fafa23278b9f86fc4f84adbc21e273c496303480492edeb992423b0edc22062c”h2NhNh3(Œaiohttp”Œpython >=3.0”Œtyping-extensions”Œ
websockets”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙã¾ÆvÉhEMµOhFˆubh)”}”(hŒ
deeplabcut”h#Œ2.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#deeplabcut-2.3.4-pyhd8ed1ab_0.conda”h+Œ f5c6d5238a4315348ec71a771dc0c318”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/deeplabcut-2.3.4-pyhd8ed1ab_0.conda”h0Œ@eaeb5b9a05b697729eabbf5d4e53b69a333739818e2b70471613f4325c3dc6ed”h2NhNh3(Œ
dlclibrary”Œfilterpy >=1.4.4”Œimageio-ffmpeg”Œimgaug >=0.4.0”Œmatplotlib-base >=3.3”Œnetworkx >=2.6”Œnumba >=0.54”Œnumpy >=1.18.5”Œopencv”Œpandas >=1.0.1,!=1.5.0”Œpillow >=7.1”Œpytables >=3.7.0”Œpython >=3.8”Œpyyaml”Œruamel.yaml >=0.15.0”Œscikit-image >=0.17”Œscikit-learn >=1.0”Œscipy >=1.4”Œstatsmodels >=0.11”Œtensorpack >=0.11”Œtf_slim >=1.1.0”Œtqdm”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙþ)ì1hEJÙ© hFˆubh)”}”(hŒ
deeplabcut”h#Œ2.3.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#deeplabcut-2.3.4-pyhd8ed1ab_1.conda”h+Œ c95b82af676ed1e59e9df4d5baad5572”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/deeplabcut-2.3.4-pyhd8ed1ab_1.conda”h0Œ@716cc6bd13c053d96cbd0d2a2094a721774531b37339665a9ed3cb84c75761d2”h2NhNh3(Œ
dlclibrary”Œfilterpy >=1.4.4”Œimageio-ffmpeg”Œimgaug >=0.4.0”Œmatplotlib-base >=3.3”Œnetworkx >=2.6”Œnumba >=0.54”Œnumpy >=1.18.5”Œopencv”Œpandas >=1.0.1,!=1.5.0”Œpillow >=7.1”Œpytables >=3.7.0”Œpython >=3.8”Œpyyaml”Œruamel.yaml >=0.15.0”Œscikit-image >=0.17”Œscikit-learn >=1.0”Œscipy >=1.4”Œstatsmodels >=0.11”Œtensorpack >=0.11”Œtf_slim >=1.1.0”Œtqdm”t”h6Œnapari-deeplabcut >=0.0.9”Œnapari >=0.4.0”†”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙY)G®hEJ=© hFˆubh)”}”(hŒ
deeplabcut”h#Œ2.3.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ#deeplabcut-2.3.4-pyhd8ed1ab_2.conda”h+Œ 44a33dfcb44916b7e18bd9265eb90d06”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/deeplabcut-2.3.4-pyhd8ed1ab_2.conda”h0Œ@6c9e43479da39b5fdb93b89a67dc2fadd8f50b6f82478f2a3a21a04006e04381”h2NhNh3(Œ
dlclibrary”Œfilterpy >=1.4.4”Œimageio-ffmpeg”Œimgaug >=0.4.0”Œmatplotlib-base >=3.3”Œnetworkx >=2.6”Œnumba >=0.54”Œnumpy >=1.18.5”Œopencv”Œpandas >=1.0.1,!=1.5.0”Œpillow >=7.1”Œpytables >=3.7.0”Œpython >=3.8”Œpyyaml”Œruamel.yaml >=0.15.0”Œscikit-image >=0.17”Œscikit-learn >=1.0”Œscipy >=1.4”Œstatsmodels >=0.11”Œtensorpack >=0.11”Œtf_slim >=1.1.0”Œtqdm”t”h6Œnapari >=0.4.0”Œnapari-deeplabcut >=0.0.9”†”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙÑ¤1hEJ® hFˆubh)”}”(hŒ
deeplabcut”h#Œ2.3.4”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ#deeplabcut-2.3.4-pyhd8ed1ab_3.conda”h+Œ 181b2153394bf3eb97c7a65231e8deb7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/deeplabcut-2.3.4-pyhd8ed1ab_3.conda”h0Œ@33dc8d6f3e742fe092105550b2793caa0bc38e52bbd6318bc74d6d6465ee43fe”h2NhNh3(Œ
dlclibrary”Œfilterpy >=1.4.4”Œimageio-ffmpeg”Œimgaug >=0.4.0”Œmatplotlib-base >=3.3”Œnetworkx >=2.6”Œnumba >=0.54”Œnumpy >=1.18.5”Œopencv”Œpandas >=1.0.1,!=1.5.0”Œpillow >=7.1”Œpytables >=3.7.0”Œpython >=3.8”Œpyyaml”Œruamel.yaml >=0.15.0”Œscikit-image >=0.17”Œscikit-learn >=1.0”Œscipy >=1.4”Œstatsmodels >=0.11”Œtensorpack >=0.11”Œtf_slim >=1.1.0”Œtqdm”t”h6Œnapari-deeplabcut >=0.0.9”Œnapari >=0.4.0”†”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ>¡"áHhEJ*¦ hFˆubh)”}”(hŒdeepxde”h#Œ1.9.1”h%Œpyha3b7f22_0”h'K hhh(h)hŒ deepxde-1.9.1-pyha3b7f22_0.conda”h+Œ 148e00375f36b505f5d33cf2f469be43”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/deepxde-1.9.1-pyha3b7f22_0.conda”h0Œ@e11422c226af7859a60e30b8597d503f4602e43737b962e0902cd2ec4be254a9”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œscikit-learn”Œscikit-optimize”Œscipy”t”h9h?h@ŒLGPL-2.1-only”hBŒLGPL”hDGAÙ†C;33hEJ· hFˆubh)”}”(hŒdefillama-curl”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'defillama-curl-2.0.1-pyhd8ed1ab_0.conda”h+Œ c80346399c7a8509b7a157b3da411281”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/defillama-curl-2.0.1-pyhd8ed1ab_0.conda”h0Œ@726e9555b5791f6401aef85cf057a96ceced67166cda9b3a4192660b496935f7”h2NhNh3Œpycurl >=7.44.1”Œpython >=3.6.13”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙÒeî{hEMýUhFˆubh)”}”(hŒdeid”h#Œ0.3.22”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdeid-0.3.22-pyhd8ed1ab_0.conda”h+Œ 4613876bec3773967a574bd7417e8f83”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/deid-0.3.22-pyhd8ed1ab_0.conda”h0Œ@3eefd30c1aed0f46d3c5405b49917222fbe0bd73da10b717ffada65d2d572f3c”h2NhNh3(Œmatplotlib-base”Œpydicom >=1.3.0”Œ
python >=3”Œpython-dateutil”t”h9h?h@ŒMIT”hBŒOTHER”hDGAÙ Añº^hEMÕÎhFˆubh)”}”(hŒdelocate”h#Œ0.10.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"delocate-0.10.4-pyhd8ed1ab_0.conda”h+Œ c247af51547d07d8cc45e7a83ed707e8”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/delocate-0.10.4-pyhd8ed1ab_0.conda”h0Œ@65fdad3c39b1ae29f7fc6972012c98d2637ccc3df7c927a706cc66905acbd821”h2NhNh3(Œ	packaging”Œpython >=3.6”Œsix”Œwheel”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØç¶'\)hEJØt hFˆubh)”}”(hŒdelta-sharing-python”h#Œ0.6.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-delta-sharing-python-0.6.7-pyhd8ed1ab_0.conda”h+Œ a27834f84aaf80196fda22966fdcfb46”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/delta-sharing-python-0.6.7-pyhd8ed1ab_0.conda”h0Œ@be1df6767bf9b54a9600a282ff86c12bc1770054b71c29c230042941eed9513b”h2NhNh3(Œaiohttp”Œdataclasses”Œfsspec >=0.7.4”Œnumpy”Œpandas”Œpyarrow >=4.0.0”Œpython >=3.7”Œrequests”Œyarl >=1.6.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙrò…ÒòhEM+~hFˆubh)”}”(hŒdelta-spark”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$delta-spark-2.4.0-pyhd8ed1ab_0.conda”h+Œ 9d24ed4223e0b3a9a2253f7ae751c1af”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/delta-spark-2.4.0-pyhd8ed1ab_0.conda”h0Œ@f9de21b7dc4c41accf5073489d2f4f44ac0b5184b7d11e499f6f09b9be3b5c9f”h2NhNh3Œimportlib-metadata >=1.0.0”Œpyspark >=3.4.0”Œpython >=3.6”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ3\ljhEMhZhFˆubh)”}”(hŒ
delvewheel”h#Œ1.3.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#delvewheel-1.3.7-pyhd8ed1ab_0.conda”h+Œ cc7082ae8fad3c094bf67d907b65c7aa”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/delvewheel-1.3.7-pyhd8ed1ab_0.conda”h0Œ@dc69bffae2cddbcd4f1cc990715524b62b4da60295e8892dd10235a3111d0eb7”h2NhNh3Œpefile”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ0	’Ÿ¾hEMÞ´hFˆubh)”}”(hŒdem_stitcher”h#Œ2.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%dem_stitcher-2.5.0-pyhd8ed1ab_0.conda”h+Œ 912ddcda507e4e96d0aa3ce60ea4f8e7”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/dem_stitcher-2.5.0-pyhd8ed1ab_0.conda”h0Œ@adc05f48c84d5fee12fa92dc953e887c1b9ab93ec7c3e993cc4e2475a5539aab”h2NhNh3(Œaffine”Œboto3”Œ	geopandas”Œimportlib_metadata”Œnumpy”Œpyproj”Œpython >=3.7”Œrasterio”Œrequests”Œshapely”Œtqdm”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ*&GïžhEJ®c€hFˆubh)”}”(hŒdemcmc”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdemcmc-1.1.0-pyhd8ed1ab_0.conda”h+Œ be8abf7d05fe51f9a773d29f43749fa2”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/demcmc-1.1.0-pyhd8ed1ab_0.conda”h0Œ@e3e903088e6342c5971e01f2c22fccf94279d625600eaff00fd5bbfe33eb6e58”h2NhNh3(Œastropy”Œemcee”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpooch”Œpython >=3.8”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ„£×hEMÙ@hFˆubh)”}”(hŒdemes”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdemes-0.2.3-pyhd8ed1ab_0.conda”h+Œ c43cf555213a02026b8551410224331a”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/demes-0.2.3-pyhd8ed1ab_0.conda”h0Œ@bd655fc32582552bf5c8103a1af2e68050f6bbead2ecceb7b3f9c9e9761aba14”h2NhNh3Œattrs >=20.3”Œpython >=3.7”Œruamel.yaml >=0.15.78”‡”h9h?h@ŒISC”hBŒBSD”hDGAÙ,CÚŸ¾hEMÛŸhFˆubh)”}”(hŒ	demesdraw”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"demesdraw-0.4.0-pyhd8ed1ab_0.conda”h+Œ 01fb5ae5254fdf9acf9af0622504f249”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/demesdraw-0.4.0-pyhd8ed1ab_0.conda”h0Œ@ca20ae4f5f3348369bbce0694ddd28b5b36851cacd699d078aacb7cfc4155a4c”h2NhNh3(Œdemes >=0.2.1”Œmatplotlib-base >=3.3.1”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒISC”hBŒBSD”hDGAÙ²o1hshEMŒbhFˆubh)”}”(hŒ
deprecated”h#Œ1.2.14”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ$deprecated-1.2.14-pyh1a96a4e_0.conda”h+Œ 4e4c4236e1ca9bcd8816b921a4805882”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/deprecated-1.2.14-pyh1a96a4e_0.conda”h0Œ@8f61539b00ea315c99f8b6f9e2408caa6894593617676741214cc0280e875ca0”h2NhNh3Œpython >=2.7”Œwrapt <2,>=1.10”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ§Íèr°hEMÑ6hFˆubh)”}”(hŒdeprecation-alias”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*deprecation-alias-0.3.2-pyhd8ed1ab_0.conda”h+Œ d8dff40708832560affc6fa0921c4892”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/deprecation-alias-0.3.2-pyhd8ed1ab_0.conda”h0Œ@d3343a40934cd47c3e53fe23bb0afd22bcaff46ca97878995c57dd9e39a80810”h2NhNh3Œdeprecation >=2.1.0”Œpackaging >=20.4”Œpython >=3.6”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ‹£Xr°hEM?hFˆubh)”}”(hŒ
derivative”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#derivative-0.6.0-pyhd8ed1ab_0.conda”h+Œ 83f740409d3fb6c3c1bba663e88eb546”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/derivative-0.6.0-pyhd8ed1ab_0.conda”h0Œ@ae8fa69683dd750f64024e7df6f3dc92db6fc7439b21f8879a86ea3f6b8b7ab0”h2NhNh3(Œnumpy >=1.18.3”Œpython >=3.7”Œscikit-learn >=1.0.0”Œscipy >=1.4.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙìóŠŸ¾hEM­HhFˆubh)”}”(hŒdes-montara”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$des-montara-0.6.0-pyhd8ed1ab_0.conda”h+Œ 23660ab47dbe0ac473d92d1e104171bd”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/des-montara-0.6.0-pyhd8ed1ab_0.conda”h0Œ@3b3d7b1417ca02a7d7e72f2eb397920b6c44df419148463ea6d156307ebea5d6”h2NhNh3(Œastropy”Œcfitsio”Œdes-eastlake”Œfitsio”Œgalsim”Œgalsim_extra”Œimportlib_metadata”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ”a±™šhEMkqhFˆubh)”}”(hŒ	des-sxdes”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"des-sxdes-0.3.0-pyhd8ed1ab_0.conda”h+Œ 3dd02fa48050d7cb7d3bf88d769128cb”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/des-sxdes-0.3.0-pyhd8ed1ab_0.conda”h0Œ@ea0378ff5d4188472270d4ff0927ab7c34adc984c7dd73fcc3acd98b0a8912a8”h2NhNh3Œnumpy”Œpython >=3.6”Œsep”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÞáÀrñªhEMÍ"hFˆubh)”}”(hŒdes-y6utils”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$des-y6utils-0.9.0-pyhd8ed1ab_0.conda”h+Œ 7b96152e1a2c5f1840bab74977f9cfcd”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/des-y6utils-0.9.0-pyhd8ed1ab_0.conda”h0Œ@da3e61509195682b8c434729279f7205fbdacf12130ef1785360b340d2fa9164”h2NhNh3(Œgalsim”Œ
healsparse”Œngmix”Œnumpy”Œpiff”Œpython >=3.7”Œscikit-learn”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙžqî5?hEM†HhFˆubh)”}”(hŒdescarteslabs”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&descarteslabs-2.0.1-pyhd8ed1ab_0.conda”h+Œ a1129f41708be6da1b4e0de52d1745dc”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/descarteslabs-2.0.1-pyhd8ed1ab_0.conda”h0Œ@284501c15d34cc2424fbbbb0c033349a839c99d248b4a4c26e0f78cf92be9dbc”h2NhNh3(Œaffine >=2.2.2”Œcachetools >=3.1.1”Œcryptography”Œdill >=0.3.6”Œdynaconf >=3.1.11”Œgeojson >=2.5.0”Œgrpcio >=1.35.0,<2”Œimagecodecs >=2021.5.20”Œlazy-object-proxy >=1.7.1”Œmercantile >=1.1.3”Œnumpy >=1.21.6,<1.23.0”Œpillow >=9.2.0”Œprotobuf >=3.19.0,<4”Œpyarrow >=3.0.0”Œ	pyopenssl”Œpython >=3.7”Œpython-blosc 1.10.6”Œpytz >=2021.1”Œrequests >=2.28.1,<3”Œsetuptools >=65.6.3”Œshapely >=1.8.1”Œstrenum >=0.4.8”Œtifffile 2021.4.8”Œtqdm >=4.32.1”Œurllib3 >=1.26.12,<2”t”h9h?h@Œ
Apache-2.0”hDGAÙ"’#^hEJ®a hFˆubh)”}”(hŒdeutschland”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$deutschland-0.3.2-pyhd8ed1ab_0.conda”h+Œ 19e6853b54a2db17f99c5f69451c3616”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/deutschland-0.3.2-pyhd8ed1ab_0.conda”h0Œ@66e5b159f8101843a5cb6449b56718270586f076ecd4391183039e8c4abcc649”h2NhNh3(Œbeautifulsoup4 >=4.9.3,<5.0.0”Œboto3 >=1.18.9,<2.0.0”Œdateparser >=1.0.0,<2.0.0”Œde-autobahn >=1.0.4,<2.0.0”Œde-bundesrat >=0.1.0,<0.2.0”Œde-bundestag >=0.1.0,<0.2.0”Œde-dwd >=1.0.1,<2.0.0”Œde-interpol >=0.1.0,<0.2.0”Œde-jobsuche >=0.1.0,<0.2.0”Œde-ladestationen >=1.0.5,<2.0.0”Œde-mudab >=0.1.0,<0.2.0”Œde-nina >=1.0.1,<2.0.0”Œ%de-polizei-brandenburg >=0.1.0,<0.2.0”Œde-risikogebiete >=0.1.0,<0.2.0”Œde-smard >=0.1.0,<0.2.0”Œ de-strahlenschutz >=1.0.0,<2.0.0”Œde-travelwarning >=0.1.0,<0.2.0”Œde-zoll >=0.1.0,<0.2.0”Œgql >=2.0.0,<3.0.0”Œlxml >=4.6.3,<5.0.0”Œ!mapbox-vector-tile >=1.2.1,<2.0.0”Œmore-itertools >=8.10.0,<9.0.0”Œnumpy 1.19.0”Œonnxruntime >=1.10.0,<2.0.0”Œpandas 1.1.5”Œpillow >=8.3.1,<9.0.0”Œpypresseportal >=0.1,<0.2”Œpython >=3.6,<4.0”Œrequests >=2.26.0,<3.0.0”Œshapely >=1.8.0,<2.0.0”Œslugify >=0.0.1,<0.0.2”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ œQ¶VhEJ6Àô hFˆubh)”}”(hŒdevbio-napari”h#Œ0.10.1”h%Œlinux_h41d4057_0”h'K hhh(h)hŒ+devbio-napari-0.10.1-linux_h41d4057_0.conda”h+Œ 25a215513f59f9126b1c51c8d8afa6e0”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/devbio-napari-0.10.1-linux_h41d4057_0.conda”h0Œ@e9fcdc99006eb3e3613b54f1191fba4d890935baa8479183139a8481fb285cf8”h2NhNh3(Œ__linux”Œimageio !=2.22.1”Œjupyter_server <2.0.0”Œ
jupyterlab”Œlibxml2 <=2.10.4”Œnapari”Œnapari-3d-ortho-viewer”Œ2napari-accelerated-pixel-and-object-classification”Œnapari-animation”Œnapari-blob-detection”Œnapari-brightness-contrast”Œnapari-clusters-plotter >=0.7.1”Œnapari-crop”Œnapari-curtain”Œnapari-czifile2”Œnapari-folder-browser”Œnapari-layer-details-display”Œnapari-mouse-controls”Œnapari-plot-profile”Œnapari-plugin-engine >=0.1.4”Œnapari-plugin-search”Œnapari-pyclesperanto-assistant”Œnapari-pystackreg”Œ
napari-roi”Œ.napari-segment-blobs-and-things-with-membranes”Œ!napari-simpleitk-image-processing”Œnapari-skimage-regionprops”Œnapari-tabu”Œnapari-time-slicer”Œnapari-tools-menu”Œnapari-workflow-inspector”Œnapari-workflow-optimizer”Œnapari-workflows”Œnpe2 <0.7.0”Œnumpy >=1.21.4”Œocl-icd-system”Œ
platymatch”Œpydantic !=1.10.0”Œpython >=3.8”Œredlionfish”Œseaborn”Œthe-segmentation-game”Œvispy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ!r^uOßhEM’6hFˆubh)”}”(hŒdevbio-napari”h#Œ0.10.1”h%Œosx_hd1c38e8_0”h'K hhh(h)hŒ)devbio-napari-0.10.1-osx_hd1c38e8_0.conda”h+Œ 9d3489cb83cb34e973b82909a839f58e”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/devbio-napari-0.10.1-osx_hd1c38e8_0.conda”h0Œ@fb1e32f6b281e6f06a15238ffd206ccde0a178b53006104c3d0ab8fdb185fa66”h2NhNh3(Œ__osx”Œimageio !=2.22.1”Œjupyter_server <2.0.0”Œ
jupyterlab”Œlibxml2 <=2.10.4”Œnapari”Œnapari-3d-ortho-viewer”Œ2napari-accelerated-pixel-and-object-classification”Œnapari-animation”Œnapari-blob-detection”Œnapari-brightness-contrast”Œnapari-clusters-plotter >=0.7.1”Œnapari-crop”Œnapari-curtain”Œnapari-czifile2”Œnapari-folder-browser”Œnapari-layer-details-display”Œnapari-mouse-controls”Œnapari-plot-profile”Œnapari-plugin-engine >=0.1.4”Œnapari-plugin-search”Œnapari-pyclesperanto-assistant”Œnapari-pystackreg”Œ
napari-roi”Œ.napari-segment-blobs-and-things-with-membranes”Œ!napari-simpleitk-image-processing”Œnapari-skimage-regionprops”Œnapari-tabu”Œnapari-time-slicer”Œnapari-tools-menu”Œnapari-workflow-inspector”Œnapari-workflow-optimizer”Œnapari-workflows”Œnpe2 <0.7.0”Œnumpy >=1.21.4”Œocl_icd_wrapper_apple”Œ
platymatch”Œpydantic !=1.10.0”Œpython >=3.8”Œredlionfish”Œseaborn”Œthe-segmentation-game”Œvispy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ!rŒ¦VhEM	7hFˆubh)”}”(hŒdevbio-napari”h#Œ0.10.1”h%Œwin_h08f2357_0”h'K hhh(h)hŒ)devbio-napari-0.10.1-win_h08f2357_0.conda”h+Œ 07e3525c97c58a87f5357f39eaf0bb04”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/devbio-napari-0.10.1-win_h08f2357_0.conda”h0Œ@b94a0605da4829d12095e686c4876fb966ef12e3c7f3c6a9892afbce1911952e”h2NhNh3(Œ__win”Œimageio !=2.22.1”Œjupyter_server <2.0.0”Œ
jupyterlab”Œlibxml2 <=2.10.4”Œnapari”Œnapari-3d-ortho-viewer”Œ2napari-accelerated-pixel-and-object-classification”Œnapari-animation”Œnapari-blob-detection”Œnapari-brightness-contrast”Œnapari-clusters-plotter >=0.7.1”Œnapari-crop”Œnapari-curtain”Œnapari-czifile2”Œnapari-folder-browser”Œnapari-layer-details-display”Œnapari-mouse-controls”Œnapari-plot-profile”Œnapari-plugin-engine >=0.1.4”Œnapari-plugin-search”Œnapari-pyclesperanto-assistant”Œnapari-pystackreg”Œ
napari-roi”Œ.napari-segment-blobs-and-things-with-membranes”Œ!napari-simpleitk-image-processing”Œnapari-skimage-regionprops”Œnapari-tabu”Œnapari-time-slicer”Œnapari-tools-menu”Œnapari-workflow-inspector”Œnapari-workflow-optimizer”Œnapari-workflows”Œnpe2 <0.7.0”Œnumpy >=1.21.4”Œ
platymatch”Œpydantic !=1.10.0”Œpython >=3.8”Œredlionfish”Œseaborn”Œthe-segmentation-game”Œvispy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ!rÔú=qhEM[8hFˆubh)”}”(hŒdevpi-client”h#Œ6.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%devpi-client-6.0.4-pyhd8ed1ab_0.conda”h+Œ b998a9d3ef627550c7810942ae43c6ff”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/devpi-client-6.0.4-pyhd8ed1ab_0.conda”h0Œ@09fce3ef5c068d179c1de74266acf2a151552d3ce9108e3de51d1358976baa55”h2NhNh3(Œcheck-manifest >=0.28”Œdevpi-common <4,>=3.6.0”Œ	iniconfig”Œpep517”Œpkginfo >=1.4.2”Œplatformdirs”Œpluggy >=0.6.0,<2.0”Œpy >=1.4.31”Œpython >=3.4”Œpython-build”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙücÑhshEMR¥hFˆubh)”}”(hŒdevpi-common”h#Œ3.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%devpi-common-3.7.2-pyhd8ed1ab_0.conda”h+Œ fde0df6950e24f6bcd8bd6192f9a00e2”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/devpi-common-3.7.2-pyhd8ed1ab_0.conda”h0Œ@2433acf5c477f58f237c87e48a5caba1a286e89830e02c81bbbcbc28b38f5a48”h2NhNh3(Œlazy”Œpackaging <22”Œpy >=1.4.20”Œpython >=3.3”Œrequests >=2.3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØöOCbŸ¾hEM	QhFˆubh)”}”(hŒdevpi-process”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&devpi-process-0.3.0-pyhd8ed1ab_0.conda”h+Œ 98a429ec4630ded1dca9f513686f34e9”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/devpi-process-0.3.0-pyhd8ed1ab_0.conda”h0Œ@69d6f3107639da30ad1f3ccbc040e4b333e6e6720246ed4e4d03b5b34b9b9195”h2NhNh3Œdevpi-client >=6.0.2”Œdevpi-server >=6.7”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØåÍñÛ•hEM+hFˆubh)”}”(hŒdevpi-server”h#Œ6.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%devpi-server-6.9.0-pyhd8ed1ab_0.conda”h+Œ 3221fc57fb0808e09b41f5790b4c4d00”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/devpi-server-6.9.0-pyhd8ed1ab_0.conda”h0Œ@6a006a7565141c7e5f63d8a4e07fdd48b71105201b4869c21d361a2ea2b99434”h2NhNh3(Œaiohttp !=4.0.0a0,!=4.0.0a1”Œargon2-cffi”Œattrs >=21.3.0”Œ
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dials-data”h#Œ2.4.63”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$dials-data-2.4.63-pyhd8ed1ab_0.conda”h+Œ 614ca52a05a47cdf160a17de80116435”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dials-data-2.4.63-pyhd8ed1ab_0.conda”h0Œ@8084b9c594839ac78e0fda465a7de19b5c329a17d4c0de6edc3625bcbb2e2182”h2NhNh3(Œimportlib_resources”Œpy”Œpytest”Œpython >=3.7”Œpyyaml”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ!È°‡ hEJò hFˆubh)”}”(hŒdicfg”h#Œ0.0.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdicfg-0.0.11-pyhd8ed1ab_0.conda”h+Œ be14c2fdf7f6201dd18744c948b06208”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/dicfg-0.0.11-pyhd8ed1ab_0.conda”h0Œ@06574dc972c943857f0464f649edcba9b87ef60ebfde0962097d5b90593733aa”h2NhNh3Œpython >=3.8”Œpyyaml >=5.4.1”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙÎRÚMÓhEM·5hFˆubh)”}”(hŒdicom-anonymizer”h#Œ1.0.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*dicom-anonymizer-1.0.11-pyhd8ed1ab_0.conda”h+Œ 87f8e8a84353e58a2757ac6a72bdc7ae”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/dicom-anonymizer-1.0.11-pyhd8ed1ab_0.conda”h0Œ@3751fc55ba0f88869c18493dad8d305a80fe0fccbf28a4f746ae3827d88d8354”h2NhNh3Œpydicom”Œpython >=3.6”Œtqdm”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ	·,®§ðhEMàOhFˆubh)”}”(hŒdicom2nifti”h#Œ2.4.8”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ$dicom2nifti-2.4.8-pyhd3deb0d_0.conda”h+Œ 61effa48c307e7ee9159682b471525aa”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dicom2nifti-2.4.8-pyhd3deb0d_0.conda”h0Œ@cf94bd47984043a55f0be0858b25b6517fea316b7852db15438e229407b6692a”h2NhNh3(Œgdcm”Œnibabel”Œnumpy”Œpydicom”Œpython”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙi€ë…hEM‹hFˆubh)”}”(hŒdictdatabase”h#Œ2.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%dictdatabase-2.4.4-pyhd8ed1ab_0.conda”h+Œ be6d996588ba02af1bf05fbe913b0cfc”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/dictdatabase-2.4.4-pyhd8ed1ab_0.conda”h0Œ@5b85dbb6df6b070d7c635ffb20efe87a320ef263c08e127cb8d21c656553b46a”h2NhNh3Œorjson >=3.8.5,<4.0.0”Œpython >=3.8,<4.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ	*+ðÄœhEMÕ\hFˆubh)”}”(hŒ	dicttoxml”h#Œ1.7.16”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dicttoxml-1.7.16-pyhd8ed1ab_0.conda”h+Œ 402396020ea19831985eb69f050e5221”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dicttoxml-1.7.16-pyhd8ed1ab_0.conda”h0Œ@a84cefa19f23763ea53665d6b2de2657ad10e11fb1738216758cf44b4b9c5c35”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØéíµó¶hEMZhFˆubh)”}”(hŒ
diff-cover”h#Œ7.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#diff-cover-7.6.0-pyhd8ed1ab_0.conda”h+Œ 57761d18a8c04530d15dc8880eabd2c8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/diff-cover-7.6.0-pyhd8ed1ab_0.conda”h0Œ@f687e0c4f610ad80e6d6c318f405bdd82afd4cf0bc9430282f59de2333b3228c”h2NhNh3(Œchardet >=3.0.0”Œjinja2 >=2.7.1”Œpluggy >=0.13.1,<2”Œpygments >=2.9.0”Œpython >=3.7.2”Œsetuptools >=17.0”t”h6Œtomli >=1.2.1”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ!Äln{hEMU²hFˆubh)”}”(hŒdiff-match-patch”h#Œ20230430”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,diff-match-patch-20230430-pyhd8ed1ab_0.conda”h+Œ 4838f274386cb4f0ec1668e99e4cbd05”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/diff-match-patch-20230430-pyhd8ed1ab_0.conda”h0Œ@eefca3e3a3fac6ea15a8228ae57c873f9f54f9511b807315e9b567197ccc7c18”h2NhNh3Œpython >=3.7”…”h9h?h@Œ
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diffoscope”h#Œ242”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!diffoscope-242-pyhd8ed1ab_0.conda”h+Œ 6bb59bbc7198c3580b6529023280b275”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/diffoscope-242-pyhd8ed1ab_0.conda”h0Œ@a47edb9119e2225c9df419f5945e9d592d1330b551298380372c3cc200ad57ec”h2NhNh3Œpython >=3.7”Œpython-libarchive-c”Œpython-magic”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙ€°ó¶hEJ% hFˆubh)”}”(hŒdiffoscope-all-tools”h#Œ242”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+diffoscope-all-tools-242-pyhd8ed1ab_0.conda”h+Œ 2dbb49d86d41525d54980f75c476a41c”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/diffoscope-all-tools-242-pyhd8ed1ab_0.conda”h0Œ@70a3d131cfc67152bc9dc2d888ee9fde22fbe287a3d7995f3ca196cb73ab8bff”h2NhNh3(Œargcomplete”Œbinutils”Œbzip2”Œcctools”Œ
defusedxml”Œdiffoscope >=242,<243.0a0”Œdocx2txt”Œ	e2fsprogs”Œffmpeg”Œgettext”Œghc”Œgiflib”Œgnupg”Œh5py”Œhdf5”Œ	html2text”Œimagemagick”Œjsondiff”Œlibdb”Œllvmdev”Œmono”Œocaml”Œopenjdk”Œopenssh”Œpdfminer.six”Œpoppler”Œ
postgresql”Œprogressbar”Œpycryptodome”Œpypdf”Œpython”Œpython-debian”Œpython-tlsh”Œr”Œ	rpm-tools”Œsquashfs-tools”Œunzip”Œvim”Œwabt”Œzip”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙ€³Ý?}hEJx0# hFˆubh)”}”(hŒdiffprivlib”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$diffprivlib-0.6.2-pyhd8ed1ab_0.conda”h+Œ 963936aa0e30e32d8681fdd901d39fde”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/diffprivlib-0.6.2-pyhd8ed1ab_0.conda”h0Œ@72cdb916ee7b0995a30c6b9489b5e0ac14b27bf28d8837db0542d10649ed3da5”h2NhNh3(Œjoblib >=0.16.0”Œnumpy >=1.19.0”Œpython >=3.7”Œscikit-learn >=0.23.0”Œscipy >=1.5.0”Œsetuptools >=49.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØäÝ[(öhEJõj hFˆubh)”}”(hŒdiffpy.pdffit2”h#Œ1.4.0”h%Œpyh1f5dd6c_1”h'Khhh(h)hŒ'diffpy.pdffit2-1.4.0-pyh1f5dd6c_1.conda”h+Œ 5fc5ac74af4dcbd230b0ffeb2522ee34”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/diffpy.pdffit2-1.4.0-pyh1f5dd6c_1.conda”h0Œ@a2ce0c5c242a54b993695e00ec4e314b9aabbb2392e9a5184b533168d2cfcc81”h2NhNh3(Œdiffpy.structure >=3”Œpython >=3.7”Œ
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pyproj >=2”Œpython >=3.9”Œrasterio”Œrioxarray >=0.4.0”Œscipy”Œxarray >=0.17.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ_Ž‡+hEM=YhFˆubh)”}”(hŒgeocube”h#Œ0.4.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ geocube-0.4.2-pyhd8ed1ab_1.conda”h+Œ 0d021ab36a19d5c7b90b25945ed737f1”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/geocube-0.4.2-pyhd8ed1ab_1.conda”h0Œ@6d59c88c1bd4897f4eaee53fb85c09c46bac8e975e8e8ea36b9bb3567744532e”h2NhNh3(Œappdirs”Œclick >=6.0”Œgeopandas >=0.7”Œnumpy >=1.20”Œodc-geo”Œ
pyproj >=2”Œpython >=3.9”Œrasterio”Œrioxarray >=0.4”Œscipy”Œxarray >=0.17”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ£J~úhEM4YhFˆubh)”}”(hŒgeodata-harvester”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*geodata-harvester-1.0.1-pyhd8ed1ab_0.conda”h+Œ 5f8cbde4648f2ba57b0828ea53bf9b6e”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/geodata-harvester-1.0.1-pyhd8ed1ab_0.conda”h0Œ@1302f77be3455e4cca90d8f44406ba9211d7dfafe0f9ae54b8f32692cac6dc0d”h2NhNh3(Œalive-progress >=3.0.1”Œ	eeharvest”Œfiona >=1.8.21”Œ	geopandas”Œipython”Œipywidgets >=7.6.5”Œmatplotlib-base”Œnetcdf4”Œnumba”Œnumpy”Œowslib 0.27.2”Œpandas”Œpyproj”Œpython >=3.8”Œpyyaml”Œrasterio”Œrequests 2.28.1”Œ	rioxarray”Œschema”Œshapely”Œ	termcolor”Œxarray”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAÙÐ>¸RhEMáöhFˆubh)”}”(hŒgeodatasets”h#Œ2023.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'geodatasets-2023.3.0-pyhd8ed1ab_0.conda”h+Œ 9de054001f827839fbb1370e4b0d41ba”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/geodatasets-2023.3.0-pyhd8ed1ab_0.conda”h0Œ@93e1d40603602984e529b170bdabcf469251781b26e03911f1a56991e1e1cecc”h2NhNh3Œpooch”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ	kÛAxÕhEMaThFˆubh)”}”(hŒ
geofileops”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#geofileops-0.7.1-pyhd8ed1ab_0.conda”h+Œ 636e45719ec28f0008df466e1134f52a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geofileops-0.7.1-pyhd8ed1ab_0.conda”h0Œ@cf37e8c7b4f74d79ecdead75095fd70c920467464d8c479a9175226067be6b09”h2NhNh3(Œcloudpickle”Œfiona”Œgdal”Œgeopandas >=0.11,<0.13”Œlibspatialite >=5.0”Œnumpy”Œpandas”Œpsutil”Œpygeos”Œpyogrio”Œpyproj”Œpython >=3.8”Œshapely”Œtopojson”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙY±HbhEJ5» hFˆubh)”}”(hŒgeogif”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒgeogif-0.1.4-pyhd8ed1ab_0.conda”h+Œ fdbebc87532f19faa60c72b98193d3cd”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/geogif-0.1.4-pyhd8ed1ab_0.conda”h0Œ@96cdb246fc888eb1164f5324bc0ffc7c0643415eba8291f6a2f51a53f87fd6c1”h2NhNh3(Œdask-core >=2021.4.1”Œmatplotlib-base >=3.4.1,<4.0.0”Œnumpy >=1.20.2,<2.0.0”Œpillow >=9.0.1,<10.0.0”Œpython >=3.8,<4.0”Œtyping_extensions”Œxarray >=0.18”t”h9h?h@ŒMIT”hBŒMIT”hDGAØù˜t¬hEM‹hFˆubh)”}”(hŒgeojson”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ geojson-3.0.1-pyhd8ed1ab_0.conda”h+Œ 8eb984c44a52c3a211a013ac32bbd38c”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/geojson-3.0.1-pyhd8ed1ab_0.conda”h0Œ@19a43efebe62591757bf9e3dbcc4489788127fbf52c8fc8665a19c67b0291c12”h2NhNh3Œpython >=3.7,<3.12”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØû”XbhEM–HhFˆubh)”}”(hŒgeojson-pydantic”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)geojson-pydantic-0.6.2-pyhd8ed1ab_0.conda”h+Œ 90b8a209c1185877ee149e9e64a51516”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/geojson-pydantic-0.6.2-pyhd8ed1ab_0.conda”h0Œ@2bbaea87017c353cd380b9da7c0ef91352d15183a1cafbd2780825facf246c15”h2NhNh3Œpydantic”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙvJÀƒhEM™8hFˆubh)”}”(hŒgeojson-pydantic”h#Œ0.6.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)geojson-pydantic-0.6.2-pyhd8ed1ab_1.conda”h+Œ 348822d5c01f38d9169c38a65d4aadb2”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/geojson-pydantic-0.6.2-pyhd8ed1ab_1.conda”h0Œ@9d86f3ba3f136a99a2823352a7e55c7e1ad2def988fa44082638e7a7d541729d”h2NhNh3Œpydantic”Œpython >=3.8”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ"[Ð»•hEM¸8hFˆubh)”}”(hŒgeolinks”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!geolinks-0.2.1-pyhd8ed1ab_0.conda”h+Œ dba2e308ef68ec73f4468117edff8846”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/geolinks-0.2.1-pyhd8ed1ab_0.conda”h0Œ@788bec9ccb563812190b6e40481a71364839e5e532f97b910a626f3e39ae49e5”h2NhNh3Œclick”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÿk´ZhEM+hFˆubh)”}”(hŒgeomcompare”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$geomcompare-0.3.0-pyhd8ed1ab_0.conda”h+Œ de9d410f4a059c7a54b8c1c7acf13786”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/geomcompare-0.3.0-pyhd8ed1ab_0.conda”h0Œ@f098f3799addffe65ee9a7ef5017b3a2458954887e61d70166519eca66af93bb”h2NhNh3(Œnumpy”Œpsycopg2”Œpyproj”Œpython >=3.9”Œrtree”Œshapely”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙb|•/hEMs“hFˆubh)”}”(hŒ	geometric”h#Œ1.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ geometric-1.0-pyhd8ed1ab_1.conda”h+Œ a296d1135256cca7e0b1fe39cb1ad3d9”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/geometric-1.0-pyhd8ed1ab_1.conda”h0Œ@a939a77e705abe4449fd20527c1168b0d3da6e7132ea8bd2f2ce7269fb8e1846”h2NhNh3(Œnetworkx”Œnumpy >=1.18,<2.0a0”Œpython >=3.7”Œ
setuptools”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØü¥.KohEJ£6 hFˆubh)”}”(hŒgeometric_features”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+geometric_features-1.2.0-pyhd8ed1ab_0.conda”h+Œ 129fbf83c68b246bccd8cc5d6fc2b0af”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/geometric_features-1.2.0-pyhd8ed1ab_0.conda”h0Œ@de00b2c253ed891d6ba6e345a29d3b8e0abd1d218095261992e0e4822f2c817e”h2NhNh3(Œcartopy”Œimportlib_resources”Œmatplotlib-base”Œnumpy”Œprogressbar2”Œpython >=3.8”Œrequests”Œshapely >=2.0,<3.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙüQvùÛhEJ<6Ñ hFˆubh)”}”(hŒ	geopandas”h#Œ0.12.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#geopandas-0.12.2-pyhd8ed1ab_0.conda”h+Œ ee3b330f13297f5839d46e1ca3e57d56”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geopandas-0.12.2-pyhd8ed1ab_0.conda”h0Œ@51660094efee2a74b24ab535e03005a6ddedc9e160c0d573cfaf2724312d171c”h2NhNh3(Œfiona”Œfolium”Œ"geopandas-base 0.12.2 pyha770c72_0”Œmapclassify >=2.4.0”Œmatplotlib-base”Œpython >=3.8”Œrtree”Œxyzservices”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØå5½+÷ÏhEMòhFˆubh)”}”(hŒ	geopandas”h#Œ0.13.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#geopandas-0.13.2-pyhd8ed1ab_0.conda”h+Œ f65bc8252c94c008984baf833e39caa4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geopandas-0.13.2-pyhd8ed1ab_0.conda”h0Œ@abb72befa4f74c4750fb245dd0c992aaadea1b048c3fb025d9f995e416d743ad”h2NhNh3(Œfiona”Œfolium”Œ"geopandas-base 0.13.2 pyha770c72_0”Œmapclassify >=2.4.0”Œmatplotlib-base”Œpython >=3.8”Œrtree”Œxyzservices”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÂÏ÷ÏhEMlhFˆubh)”}”(hŒ	geopandas”h#Œ0.13.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#geopandas-0.13.2-pyhd8ed1ab_1.conda”h+Œ 47226a55e4ae3bc9feb3a17925874817”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geopandas-0.13.2-pyhd8ed1ab_1.conda”h0Œ@789415051d8b7342f65342fa0270eb8bdc3131e841fdd8892f3efad335dc6bb5”h2NhNh3(Œfiona >=1.8.19”Œfolium”Œ"geopandas-base 0.13.2 pyha770c72_1”Œmapclassify >=2.4.0”Œmatplotlib-base”Œpython >=3.8”Œrtree”Œxyzservices”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÌÈzŸ¾hEMwhFˆubh)”}”(hŒgeopandas-base”h#Œ0.13.2”h%Œpyha770c72_0”h'K hhh(h)hŒ(geopandas-base-0.13.2-pyha770c72_0.conda”h+Œ 143dd21d65cf9853d8683b7bcba0995b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/geopandas-base-0.13.2-pyha770c72_0.conda”h0Œ@10fc06abdf4a932d8a7487f49d6ff658fd819e7b0add6f74c5a2b31d6021cf10”h2NhNh3(Œ	packaging”Œpandas >=1.1.0”Œpyproj >=3.0.1”Œpython >=3.8”Œshapely >=1.7.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÂÍg|îhEJ³k hFˆubh)”}”(hŒgeopandas-base”h#Œ0.13.2”h%Œpyha770c72_1”h'Khhh(h)hŒ(geopandas-base-0.13.2-pyha770c72_1.conda”h+Œ c6036236caae7d8ac684c41c64073b9e”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/geopandas-base-0.13.2-pyha770c72_1.conda”h0Œ@fc1442a799f837961c3423466ac5f7c84d49b295c76290a7983dab903546a5a7”h2NhNh3(Œ	packaging”Œpandas >=1.1.0”Œpyproj >=3.0.1”Œpython >=3.8”Œshapely >=1.7.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÌÆv{hEJ4o hFˆubh)”}”(hŒ
georasters”h#Œ0.5.27”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$georasters-0.5.27-pyhd8ed1ab_0.conda”h+Œ c53ef033e9a60c2c95d4ce4f4e4c9a85”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/georasters-0.5.27-pyhd8ed1ab_0.conda”h0Œ@3dc98b8768977d074ead56afb991a3bde81b54b05398f5f4962a2281b76848c4”h2NhNh3(Œaffine”Œcoverage”Œdocopt”Œfiona”Œgdal”Œ	geopandas”Œmatplotlib-base”Œnumpy”Œpandas”Œpyproj”Œpysal”Œpython >=3.4”Œrasterstats >=0.12”Œscikit-image”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ w4)hshEMßƒhFˆubh)”}”(hŒ
georouting”h#Œ0.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#georouting-0.0.8-pyhd8ed1ab_0.conda”h+Œ 50b2951266ba33fef138dcbf3d0d45d4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/georouting-0.0.8-pyhd8ed1ab_0.conda”h0Œ@8f9c296a84f0b04ba97a1319fe0698cc55e92d54926de6f0f2ba86e88508bfb6”h2NhNh3(Œfolium”Œ	geopandas”Œ
googlemaps”Œmapclassify”Œmatplotlib-base”Œosmnx”Œpolyline”Œpython >=3.7”Œpython-igraph”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÖKO\)hEM5ZhFˆubh)”}”(hŒgeosdemo”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!geosdemo-0.1.0-pyhd8ed1ab_0.conda”h+Œ 87b0359cd584fd3d2289f3a35157b8be”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/geosdemo-0.1.0-pyhd8ed1ab_0.conda”h0Œ@127f355b8346c62d08d79c0a115791999b244789b0a41cfcaecc4cf495844894”h2NhNh3(Œfolium”Œ	geopandas”Œhttpx”Œ
ipyleaflet”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¸[¥ãhEMä*hFˆubh)”}”(hŒgeoserver-rest”h#Œ2.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'geoserver-rest-2.5.0-pyhd8ed1ab_0.conda”h+Œ a80966471aff8e68b20b059eb7df8f02”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/geoserver-rest-2.5.0-pyhd8ed1ab_0.conda”h0Œ@cdd25ad317be8ab13d9a6fef14373fe6f983acb046ff33cea53f8add5c6b0168”h2NhNh3(Œgdal”Œpip”Œpygments”Œpython >=3.6”Œrequests”Œseaborn”Œ	xmltodict”t”h9h?h@ŒMIT”hDGAÙ"ú¼ç®hEM`hFˆubh)”}”(hŒ
geospatial”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#geospatial-0.8.0-pyhd8ed1ab_0.conda”h+Œ 900ca30e45d5ed7249a6399c999453e4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geospatial-0.8.0-pyhd8ed1ab_0.conda”h0Œ@95e6946fab80acad6f1c428100ab182a32bafc4d066ac73a08f7d8d35456ec8e”h2NhNh3(Œbokeh”Œcartopy”Œcenpy”Œ
contextily”Œdask-geopandas”Œ
datashader”Œearthengine-api”Œearthpy”Œeasystac”Œeemont”Œeomaps”Œeoreader”Œfolium >=0.12.1”Œgeemap >=0.20.0”Œgemgis”Œgeoalchemy2”Œgeocube”Œgeopandas >=0.10.2”Œgeosnap”Œgeoviews”Œh3”Œh3-py”Œhere-map-widget-for-jupyter”Œhvplot”Œipygany”Œipyleaflet >=0.16.0”Œ
ipyvtklink”Œkeplergl”Œlaspy”Œleafmap >=0.19.0”Œlidar”Œlocaltileserver >=0.6.1”Œmapboxgl”Œ	mapwidget”Œmovingpandas”Œnetcdf4”Œodc-stac”Œosmnx”Œowslib”Œ
palettable”Œpanel”Œpillow”Œplanetary-computer”Œplotly”Œproplot”Œpsycopg2”Œpydeck”Œpygis >=0.5.0”Œ	pyntcloud”Œpysal”Œpython >=3.8”Œ
python-mss”Œpyvista”Œradiant-mlhub”Œrasterio”Œrasterstats”Œ	rio-cogeo”Œ	rioxarray”Œs2cloudless”Œsarpy”Œsatpy”Œsentinelsat”Œshapely”Œ	simplekml”Œ	sliderule”Œspyndex”Œ
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iris >=3.2”Œpython >=3.9”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ B™µOßhEMõ;hFˆubh)”}”(hŒget-annotations”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(get-annotations-0.1.2-pyhd8ed1ab_0.conda”h+Œ bcfd54a764cb91dcc9e6e97c0b7ac6f4”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/get-annotations-0.1.2-pyhd8ed1ab_0.conda”h0Œ@d6cd7b0c3a9ddb6cb8cb23c29b492bb7d6250c89c4924ba85ab1fe453b79941f”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙÓgì¬hEMg(hFˆubh)”}”(hŒ
getcalspec”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#getcalspec-2.1.0-pyhd8ed1ab_0.conda”h+Œ 67d8582f4738db8dfe4c3ad2bc3aa4e6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/getcalspec-2.1.0-pyhd8ed1ab_0.conda”h0Œ@5ae1ef0359570f4c8730d331144e2662d9bcfa2761b67c6c582044e232ebada2”h2NhNh3(Œastropy”Œ
astroquery”Œlxml”Œmatplotlib-base >3.1”Œnumpy >1.15”Œpandas”Œpython >=3.7”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙxõ7LhEMOhFˆubh)”}”(hŒgetdist”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ getdist-1.4.1-pyhd8ed1ab_0.conda”h+Œ 40981b5b48592d31dd731c6337798d06”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/getdist-1.4.1-pyhd8ed1ab_0.conda”h0Œ@8d7fbdbb3aba1c7ef0312083a4a3b928ad17d9fa0b4ece1c0be975be366abfdc”h2NhNh3(Œmatplotlib-base >=2.2.0,!=3.5.0”Œnumpy >=1.17.0”Œpython >=3.8”Œpyyaml >=5.1”Œscipy >=1.5.0”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØú§Ðê¬hEJå@ hFˆubh)”}”(hŒgettsim”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ gettsim-0.7.0-pyhd8ed1ab_0.conda”h+Œ b39e672599ca8a54f2399d1dc648d3c5”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/gettsim-0.7.0-pyhd8ed1ab_0.conda”h0Œ@516a0a4e46a25e718d15d9d4e02ca822a68971da715161173c1592be527dff1e”h2NhNh3(Œastor”Œdags”Œnetworkx”Œnumpy”Œnumpy_groupies”Œpandas”Œplotly”Œpygments”Œ
pygraphviz”Œpytest”Œpython >=3.9”Œpyyaml”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAÙ4Ð€bNhEJy hFˆubh)”}”(hŒgflanguages”h#Œ0.8.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$gflanguages-0.8.9-pyhd8ed1ab_0.conda”h+Œ cf3200ffc95a5f28a83f6bd93ff2adae”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/gflanguages-0.8.9-pyhd8ed1ab_0.conda”h0Œ@af5aa1e6b5dddd25b9c5aae4bbc1899df4279360a996508ab3ef505a9c0a6804”h2NhNh3Œprotobuf 3.19.4.*”Œpython >=3.7”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ Ç|OPhEJb{
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sqlalchemy”Œsympy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØã“²MÓhEMÙ‚hFˆubh)”}”(hŒ	gi-docgen”h#Œ2023.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#gi-docgen-2023.1-pyhd8ed1ab_0.conda”h+Œ 5c40671d3bcccf253f104d53a5b15b02”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/gi-docgen-2023.1-pyhd8ed1ab_0.conda”h0Œ@6f687058fee8617fa51c80b035632c23c06e9c9d2fadabee50d15bcb79e2fb66”h2NhNh3(Œjinja2”Œmarkdown”Œ
markupsafe”Œpygments”Œpython >=3.6”Œtoml”Œ	typogrify”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØîbEohEJª hFˆubh)”}”(hŒgiddy”h#Œ2.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒgiddy-2.3.4-pyhd8ed1ab_0.conda”h+Œ 731b1ad2c887c23b55653871992520fc”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/giddy-2.3.4-pyhd8ed1ab_0.conda”h0Œ@b19d923943b52bfdb8b679908bdb2afd7e527d59a002cb8cfee92d7e87480378”h2NhNh3(Œesda >=2.1.1”Œlibpysal >=4.0.1”Œmapclassify >=2.1.1”Œ
python >=3”Œquantecon >=0.4.7”Œscipy >=1.3.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ ’ò€å`hEM	×hFˆubh)”}”(hŒ	gidgethub”h#Œ5.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"gidgethub-5.3.0-pyhd8ed1ab_1.conda”h+Œ a717232e393e61fbf9bd54438df757f9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/gidgethub-5.3.0-pyhd8ed1ab_1.conda”h0Œ@9b411ed485105a92457f6dfcc8b4fe1329841480a340acf6897699febc7cffaf”h2NhNh3Œpyjwt >=2.4.0”Œpython >=3.7”Œuritemplate >=3.0.1”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙÎý¥‘hhEM±^hFˆubh)”}”(hŒgif”h#Œ23.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒgif-23.3.0-pyhd8ed1ab_0.conda”h+Œ 03de73730ccb4f7b0c44550265e2710c”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/gif-23.3.0-pyhd8ed1ab_0.conda”h0Œ@8d6b41b335889942fdfbf472c6f0fd047e8d8524ba0ab08ceb14c7b92972b859”h2NhNh3Œmatplotlib-base >=3.5,<4.0”Œpillow >=9.1”Œpython >=3.9”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙŠd›¦hEM
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graphtools”h#Œ1.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#graphtools-1.5.3-pyhd8ed1ab_0.conda”h+Œ 7d47445f0c7f3d030502265baddc0e27”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/graphtools-1.5.3-pyhd8ed1ab_0.conda”h0Œ@b1ece13f55f3da9c8d5d467b3da644ebf5d3377038b68bbd7e2a99fa775295b3”h2NhNh3(Œ
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Apache-2.0”hBŒAPACHE”hDGAØð‹—¾whEM€YhFˆubh)”}”(hŒ
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bottleneck”Œclick”Œdask”Œentrypoints”Œfsspec”Œ
gdal >=3.1”Œgeopandas >=0.10”Œnetcdf4”Œnumpy”Œopenpyxl”Œ	packaging”Œpandas”Œpyflwdir >=0.5.4”Œpyproj”Œpython >=3.9”Œrasterio”Œrequests”Œ	rioxarray”Œscipy”Œshapely >=2.0.0”Œuniversal_pathlib”Œxarray”Œ	xmltodict”Œzarr”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ`<èÔþhEJŽ­ hFˆubh)”}”(hŒhydromt_delwaq”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'hydromt_delwaq-0.2.1-pyhd8ed1ab_0.conda”h+Œ 0f3ea2549657c5a93ad6f9006d86c0c8”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/hydromt_delwaq-0.2.1-pyhd8ed1ab_0.conda”h0Œ@1984ad4a8abbdb551adce09e9e3295bbb116c83c0d14d93f0f20e75b614db0bf”h2NhNh3(Œgeopandas >=0.10”Œhydromt >=0.5.0”Œhydromt_wflow >=0.2.0”Œnumpy”Œpandas”Œpyproj”Œpython >=3.8”Œrasterio”Œscipy”Œshapely >=2.0.0”Œxarray”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙþ^Î§ðhEJcå hFˆubh)”}”(hŒhydromt_sfincs”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'hydromt_sfincs-1.0.0-pyhd8ed1ab_0.conda”h+Œ 561817a0dd36903ed527d1c3338382a1”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/hydromt_sfincs-1.0.0-pyhd8ed1ab_0.conda”h0Œ@97d81d5f495d49a4e051861f0fc2131422b493bd20e2e05b6411eb03efb2ecd3”h2NhNh3(Œaffine”Œgeopandas >=0.8”Œhydromt >=0.7.1”Œnumba”Œnumpy”Œpandas”Œpillow”Œpyflwdir >=0.5.5”Œpyproj”Œpython >=3.8”Œrasterio”Œscipy”Œshapely”Œxarray”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙÔ›¦hEJŒ- hFˆubh)”}”(hŒhydromt_wflow”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&hydromt_wflow-0.2.1-pyhd8ed1ab_0.conda”h+Œ 5bba365fe9023d444d0cd6eebe2c7cc9”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/hydromt_wflow-0.2.1-pyhd8ed1ab_0.conda”h0Œ@525ddccd9cfbfc896015940fa9cdf863cf6ddc09403b43696a3a0970559d3bdf”h2NhNh3(Œdask”Œgeopandas >=0.10”Œhydromt >=0.5.0”Œnetcdf4”Œnumpy”Œpandas”Œpyflwdir >=0.5.6”Œpygeos”Œpyproj”Œpython >=3.8”Œrasterio”Œ	rioxarray”Œscipy”Œshapely”Œtoml”Œxarray”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØßÞZ¬hEJ	 hFˆubh)”}”(hŒhydrosignatures”h#Œ0.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)hydrosignatures-0.15.0-pyhd8ed1ab_0.conda”h+Œ d904e75bd6e1d41d5e2dc7deedf23c6b”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/hydrosignatures-0.15.0-pyhd8ed1ab_0.conda”h0Œ@b79f810c093a4e7854ec8c27e6cf31b7e41fa7e148881ee3d77fb5f97735d7ae”h2NhNh3(Œnumpy >=1.21”Œpandas >=1.0”Œpython >=3.8”Œscipy”Œxarray >=2022.03.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÉÏPhEMOhFˆubh)”}”(hŒhydrotoolbox”h#Œ2.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%hydrotoolbox-2.0.6-pyhd8ed1ab_0.conda”h+Œ 44894cc7b2e6d34a2a4523a63f255311”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/hydrotoolbox-2.0.6-pyhd8ed1ab_0.conda”h0Œ@492ade7f4ef5057f8c8f7af4b51959e11c281e827b0cc75b55db0dcc2c200468”h2NhNh3(Œcltoolbox >=1.0.0”Œpydantic”Œpython >=3.8”Œtoolbox_utils >=3.0.0,<4.0.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙºŸÌÍhEJ? hFˆubh)”}”(hŒhyp3_sdk”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!hyp3_sdk-2.1.1-pyhd8ed1ab_0.conda”h+Œ 9c26e6cdf89a749e0f34dc9e711ba498”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/hyp3_sdk-2.1.1-pyhd8ed1ab_0.conda”h0Œ@70331bc2f3b1fa0448a10487fff3d842ea777a517111bce4c9d1dab105e835ac”h2NhNh3(Œpython >=3.8”Œpython-dateutil”Œrequests”Œtqdm”Œurllib3”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙùy’ñªhEMhFhFˆubh)”}”(hŒhypergbm”h#Œ0.2.5.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#hypergbm-0.2.5.7-pyhd8ed1ab_0.conda”h+Œ 8404b83c88e6e1cc36d79f3cff7975c5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/hypergbm-0.2.5.7-pyhd8ed1ab_0.conda”h0Œ@4815f4d6e88d055e72078e9bb2e0227028c023c2b9981867e45f591974bde095”h2NhNh3(Œcatboost >=0.26”Œfsspec >=0.8.0”Œgraphviz”Œhypernets >=0.2.5.7,<0.2.6”Œimbalanced-learn >=0.7.0”Œlightgbm >=3.2.0”Œmatplotlib <3.6”Œnumpy >=1.16.5”Œpandas >=0.25.3”Œplotly”Œpy-xgboost >=1.3.0”Œpytest”Œpython >=3.6”Œpython-graphviz”Œscikit-learn >=0.22.1”Œshap”Œtqdm”Œxgboost >=1.3.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØà2ëÂÀƒhEJN, hFˆubh)”}”(hŒhypergbm”h#Œ0.2.5.7”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#hypergbm-0.2.5.7-pyhd8ed1ab_1.conda”h+Œ 76b5bb410e7244786ac7f9f51793ad1f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/hypergbm-0.2.5.7-pyhd8ed1ab_1.conda”h0Œ@eb9d25c596df244e5ebaf66e573f8503e0753e7e2697a8d43c584bd01072b729”h2NhNh3(Œcatboost >=0.26”Œfsspec >=0.8.0”Œgraphviz”Œhypernets >=0.2.5.7,<0.2.6”Œimbalanced-learn >=0.7.0”Œlightgbm >=3.2.0”Œmatplotlib <3.6”Œnumpy >=1.16.5”Œpandas >=0.25.3”Œplotly”Œpy-xgboost >=1.3.0”Œpytest”Œpython >=3.6”Œpython-graphviz”Œscikit-learn >=0.22.1”Œshap”Œtqdm”Œxgboost >=1.3.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØàaít1hEJL, hFˆubh)”}”(hŒ	hypernets”h#Œ0.2.5.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$hypernets-0.2.5.7-pyhd8ed1ab_0.conda”h+Œ ffebced4a8f87533465802faf97c402b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/hypernets-0.2.5.7-pyhd8ed1ab_0.conda”h0Œ@1276a9672b490e0a9ae9a5893cc7d8de5e92d763c2a4590c22bc6684bbc158cb”h2NhNh3(Œfeaturetools >=0.23.0”Œfsspec >=0.8.0”Œipython”Œjoblib”Œlightgbm >=2.2.0”Œnumpy >=1.16.5”Œpandas >=0.25.3”Œparamiko”Œprettytable”Œpsutil”Œpyarrow >=1.0.0”Œpytest”Œpython >=3.6”Œpython-geohash”Œpyyaml”Œrequests”Œscikit-learn >=0.22.1”Œscipy”Œseaborn >=0.11.0”Œtornado”Œ	traitlets”Œxlsxwriter >=3.0.2”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØß´@¨“uhEJÉì hFˆubh)”}”(hŒhyperspy-gui-traitsui”h#Œ1.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.hyperspy-gui-traitsui-1.5.3-pyhd8ed1ab_0.conda”h+Œ 9fd44eef1ee20c1f2ff3389ace05fd23”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/hyperspy-gui-traitsui-1.5.3-pyhd8ed1ab_0.conda”h0Œ@1ffd34223d539d4ea731f9b8e2337baaa74acd6b33e25dd8207234560f95319e”h2NhNh3(Œhyperspy-base >=1.7.0”Œpyqt”Œpython >=3.7”Œtraits >=5.0”Œtraitsui >=6.1,!=8.0.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙ ¢pQìhEM{hFˆubh)”}”(hŒ
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hyperspyui”h#Œ1.3.1”h%Œpyhe4f9e05_0”h'K hhh(h)hŒ#hyperspyui-1.3.1-pyhe4f9e05_0.conda”h+Œ 12d5e484ab6b0414edd1616e8ec85d44”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/hyperspyui-1.3.1-pyhe4f9e05_0.conda”h0Œ@ae6ddf09c0ef6120abc87ab52c9689a2e082bce7f4548182ae5e65953d096860”h2NhNh3(Œ__unix”Œautopep8”Œffmpeg”Œhyperspy-base >=1.7.2”Œhyperspy-gui-traitsui >=1.3.1”Œipykernel >=5.2.0”Œpyflakes”Œpyqode.core >=4.0.10”Œpyqode.python >=4.0.2”Œpython >=3.7”Œqtconsole >=5.2.0”Œqtpy”Œtraitsui >=5.2.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙTñZ-hEJ…Þ hFˆubh)”}”(hŒhyperts”h#Œ0.2.0”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ hyperts-0.2.0-pyhd8ed1ab_3.conda”h+Œ 99658aa2ba533cf003658204b52ab5fb”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/hyperts-0.2.0-pyhd8ed1ab_3.conda”h0Œ@2385cad81bc4adc7e0cc6037b364f4df2d25f9e90e7027a194803a6890265839”h2NhNh3(Œhypernets >=0.2.5.1,<0.2.6”Œnumpy >=1.16.5,<1.22”Œpandas >=0.25.3”Œprophet >=1.0.1”Œpython >=3.6”Œscikit-learn >=0.22.1”Œscipy”Œsktime >=0.8.1”Œstatsmodels >=0.12.1”t”h6Œtensorflow >=2.0”Œscipy <1.8.0”Œarviz <=0.12.1”‡”h9h?h@Œ
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hypothesis”h#Œ6.78.3”h%Œpyha770c72_0”h'K hhh(h)hŒ$hypothesis-6.78.3-pyha770c72_0.conda”h+Œ cfda6f4c6ce1a0cfc786f45e3f82795b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/hypothesis-6.78.3-pyha770c72_0.conda”h0Œ@7335e8a1e752c5b45de31f4c6f5ca7953835a201bdb2852cb2b09806cbf56a59”h2NhNh3(Œattrs >=19.2.0”Œbackports.zoneinfo >=0.2.1”Œclick >=7.0”Œexceptiongroup >=1.0.0rc8”Œpython >=3.8”Œ
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Apache-2.0”hBŒApache”hDGAÙkë•OßhEMà(hFˆubh)”}”(hŒibis-clickhouse”h#Œ5.1.0”h%Œ
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Apache-2.0”hBŒApache”hDGAÙkì›•hEM)hFˆubh)”}”(hŒ	ibis-dask”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ ibis-dask-5.1.0-hd8ed1ab_0.conda”h+Œ 6a9a47063f19cc9bbda61a40cdbe4e89”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ibis-dask-5.1.0-hd8ed1ab_0.conda”h0Œ@72d5ebfa0e731cfe453d09dc0a489606d9af227ff1a600e8d2530cf2513b2565”h2NhNh3Œdask >=2022.9.1”Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpyarrow >=1”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙkí©G®hEMõ(hFˆubh)”}”(hŒibis-datafusion”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ&ibis-datafusion-5.1.0-hd8ed1ab_0.conda”h+Œ 48472440eb4406c045257bafb421846c”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/ibis-datafusion-5.1.0-hd8ed1ab_0.conda”h0Œ@b2070105d1658fba88d925629171246744d31f8236dab71066a9f04d80442e58”h2NhNh3Œdatafusion >=0.6”Œ"ibis-framework-core >=5.1.0,<6.0a0”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙkî´‹DhEM)hFˆubh)”}”(hŒ
ibis-druid”h#Œ5.1.0”h%Œ
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Apache-2.0”hBŒApache”hDGAÙkï»t¼hEM¾(hFˆubh)”}”(hŒibis-duckdb”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ"ibis-duckdb-5.1.0-hd8ed1ab_0.conda”h+Œ 585870cc7039216c8a1c1d73a0492a9c”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ibis-duckdb-5.1.0-hd8ed1ab_0.conda”h0Œ@76a52641ea4288611a06212b7a4c5a8c08dfeb5e202d8f6ba7374bd82db38150”h2NhNh3(Œduckdb-engine >=0.1.8”Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpython-duckdb >=0.3.3”Œsqlalchemy >=1.4”Œsqlalchemy-views >=0.3.1”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙkðÀ£×hEMÖ(hFˆubh)”}”(hŒibis-framework”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ%ibis-framework-5.1.0-hd8ed1ab_0.conda”h+Œ 690751c80bb67f4d592a5dfc386e6685”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/ibis-framework-5.1.0-hd8ed1ab_0.conda”h0Œ@cd15c00b333734731925568f78d8f42e8f09b6faf3fa32846744ab614fcd993c”h2NhNh3(Œduckdb-engine <1,>=0.1.8”Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpyarrow <12,>=2”Œpython-duckdb <1,>=0.3.3”Œpython-graphviz <1,>=0.16”Œsqlalchemy <3,>=1.4”Œsqlalchemy-views <1,>=0.3.1”t”h9h?h@Œ
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Apache-2.0”hBŒApache”hDGAÙkèÎE¢hEJ?( hFˆubh)”}”(hŒibis-impala”h#Œ5.1.0”h%Œ
hd8ed1ab_0”•       h'K hhh(h)hŒ"ibis-impala-5.1.0-hd8ed1ab_0.conda”h+Œ 36e02cdd090205ac2244e01c8cdd93f8”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ibis-impala-5.1.0-hd8ed1ab_0.conda”h0Œ@5cca8fa7ff5988aad4e8326eeda9e8d287477c571e6f81f6336d5835e39d9b78”h2NhNh3(Œfsspec >=2022.1.0”Œ"ibis-framework-core >=5.1.0,<6.0a0”Œimpyla >=0.17”Œrequests >=2”Œsqlalchemy >=1.4”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙkòÕÂhEM)hFˆubh)”}”(hŒ
ibis-mssql”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ!ibis-mssql-5.1.0-hd8ed1ab_0.conda”h+Œ 35248315569ba03f18ccd147367d90c6”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ibis-mssql-5.1.0-hd8ed1ab_0.conda”h0Œ@176cec0563e7af1f3c737474fd4747ea9aba5e2a5f88159f547f3266a3bebf15”h2NhNh3Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpymssql >=2.2.5”Œsqlalchemy >=1.4”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙkóÞ‡+hEMÆ(hFˆubh)”}”(hŒ
ibis-mysql”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ!ibis-mysql-5.1.0-hd8ed1ab_0.conda”h+Œ 0749788f36923b8e6f91edcbb0f70ef4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ibis-mysql-5.1.0-hd8ed1ab_0.conda”h0Œ@242c96e30c59fb8c977424ff12b4a3f7cbc54d2b507e00e267cb63c64fe6a9d4”h2NhNh3Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpymysql >=1”Œsqlalchemy >=1.4”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙkôåó¶hEM÷(hFˆubh)”}”(hŒibis-polars”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ"ibis-polars-5.1.0-hd8ed1ab_0.conda”h+Œ af26f5f992385d0c2e4f38e42f785d0d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ibis-polars-5.1.0-hd8ed1ab_0.conda”h0Œ@b8f5bfd6d83b64b36dce440278feb79b21d995bd7ec4f67dbba89aadd599c9ee”h2NhNh3Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpolars >=0.14”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙkõô¼jhEM¦(hFˆubh)”}”(hŒibis-postgres”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ$ibis-postgres-5.1.0-hd8ed1ab_0.conda”h+Œ 9aec66a984c2e77977f2912eb2ed718f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/ibis-postgres-5.1.0-hd8ed1ab_0.conda”h0Œ@8f97d2ce1cb96fca5cb087245e02518c9c8e574c373c0805ddf2ead3e2af5f86”h2NhNh3Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpsycopg2 >=2.8.4”Œsqlalchemy >=1.4”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙköø ÅhEM
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hd8ed1ab_0”h'K hhh(h)hŒ#ibis-pyspark-5.1.0-hd8ed1ab_0.conda”h+Œ 05d7918afe91058d714887332918c203”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ibis-pyspark-5.1.0-hd8ed1ab_0.conda”h0Œ@c3a40138c46ce8b7f8344bee2cbda2b072f9f1b8251c069fcdc601c8a6f09ad0”h2NhNh3(Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpyarrow >=2”Œpyspark >=3”Œsqlalchemy >=1.4”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙkøJhEM)hFˆubh)”}”(hŒibis-snowflake”h#Œ5.1.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ%ibis-snowflake-5.1.0-hd8ed1ab_0.conda”h+Œ 78cd4cc812f4313c4bb714f3f766c0f6”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/ibis-snowflake-5.1.0-hd8ed1ab_0.conda”h0Œ@39646d5a9d4e0912ac169182607434d4db3586b360f1bf934eccb89679e4dd63”h2NhNh3(Œ"ibis-framework-core >=5.1.0,<6.0a0”Œpandas >=1.2.5”Œ#snowflake-connector-python >=2.7.10”Œsnowflake-sqlalchemy >=1.4.1”Œsqlalchemy >=1.4”t”h9h?h@Œ
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imap-tools”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#imap-tools-1.0.0-pyhd8ed1ab_0.conda”h+Œ 5b63fc072a953a74290b22c9546520f6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/imap-tools-1.0.0-pyhd8ed1ab_0.conda”h0Œ@e62d070b2b269987ef449aa28d22f68d5bdab863909497667f2cfa9d265e3785”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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python >=3”Œscikit-learn >=1.0.2”Œscipy >=1.3.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØëÝÔýôhEJ~ hFˆubh)”}”(hŒimglyb”h#Œ2.1.0”h%Œpyha21a80b_0”h'K hhh(h)hŒimglyb-2.1.0-pyha21a80b_0.conda”h+Œ 4f23c23819cfa87a01b4319651a717e9”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/imglyb-2.1.0-pyha21a80b_0.conda”h0Œ@7111c7899ce292416e930e2bea0bc69c19788aa99605c686d53f2eabc90c696a”h2NhNh3(Œjpype1 >=1.3.0”Œmaven”Œnumpy”Œpython >=3.7”Œscyjava >=1.3.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙ¥…p¤hEMèPhFˆubh)”}”(hŒimgviz”h#Œ1.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒimgviz-1.7.2-pyhd8ed1ab_0.conda”h+Œ f139b28d4d70e5f466225e4b18342b06”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/imgviz-1.7.2-pyhd8ed1ab_0.conda”h0Œ@248bad7c16606f9027bd14064348a679adacded67ddfd3aa5664618e54b4ebed”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpillow >=5.3.0”Œpyglet”Œpython >=3.6”Œpyyaml”Œscikit-image”Œscikit-learn”t”h9h?h@ŒMIT”hBŒMIT”hDGAØû4IÊÁhEJ«és hFˆubh)”}”(hŒimmutabledict”h#Œ2.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&immutabledict-2.2.4-pyhd8ed1ab_0.conda”h+Œ 5567d1a14fe0fa8881ab71c99adbbe0e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/immutabledict-2.2.4-pyhd8ed1ab_0.conda”h0Œ@a933c730cff17d663f934f7b6395ada0e596cb113e580e8198b67984f3582fca”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¦Cã×
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zipp >=0.5”†”h9h?h@Œ
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zipp >=0.5”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØçóF&ÙhEM£_hFˆubh)”}”(hŒimportlib-metadata”h#Œ6.6.0”h%Œpyha770c72_0”h'K hhh(h)hŒ+importlib-metadata-6.6.0-pyha770c72_0.conda”h+Œ f91a5d5175fb7ff2a91952ec7da59cb9”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/importlib-metadata-6.6.0-pyha770c72_0.conda”h0Œ@33d49065756a73fbb92277c756fa00a41891408528eb90ae05ff3367a401ae6e”h2NhNh3Œpython >=3.8”Œ
zipp >=0.5”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙþÐ…¸hEMÞdhFˆubh)”}”(hŒimportlib-resources”h#Œ5.12.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-importlib-resources-5.12.0-pyhd8ed1ab_0.conda”h+Œ 3544c818f0720c89eb16ae6940ab440b”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/importlib-resources-5.12.0-pyhd8ed1ab_0.conda”h0Œ@0675df2bf18e52d0ea2bc5e1009faac273f059361a0caf36c0e0edc7831098a9”h2NhNh3Œ(importlib_resources >=5.12.0,<5.12.1.0a0”Œpython >=3.7”†”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAÙ*‹8A‰hEMÈkhFˆubh)”}”(hŒinvariant-point-attention”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2invariant-point-attention-0.2.2-pyhd8ed1ab_0.conda”h+Œ 9132cd2d2e4ec9c47503a44ba4d3666a”h-Nh.Œ`https://conda.anaconda.org/conda-forge/noarch/invariant-point-attention-0.2.2-pyhd8ed1ab_0.conda”h0Œ@8a00e3699791f49c37d35ac5b455a5774d265742df072445d35235d9736bfe8e”h2NhNh3Œeinops >=0.3”Œpython >=3.6”Œpytorch >=1.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØáC6óçmhEMF-hFˆubh)”}”(hŒinvest-ucm-calibration”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/invest-ucm-calibration-0.6.0-pyhd8ed1ab_0.conda”h+Œ ec07be002e76cf2ed185901208b19ee0”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/invest-ucm-calibration-0.6.0-pyhd8ed1ab_0.conda”h0Œ@d3ae5ae493f43ba2af1564f762863504842647ccfb990b89de199ec90f01c48e”h2NhNh3(Œfiona >=1.0.0”Œfire”Œnatcap.invest >=3.11.0”Œpython >=3.6”Œrasterio >=1.0.0”Œ	rioxarray”Œscikit-learn >=1.0.0”Œsimanneal >=0.5.0”Œxarray”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙp}{SøhEMWzhFˆubh)”}”(hŒinvoke”h#Œ2.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒinvoke-2.1.3-pyhd8ed1ab_0.conda”h+Œ 47d2b1b4665f55a564012af7d106769a”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/invoke-2.1.3-pyhd8ed1ab_0.conda”h0Œ@e8b9a45e00bd8a87046be1fc25956fd9172b078a9e5b72742fc240f9e869f5b9”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-2-Clause”hDGAÙ"›Ü   hEJè hFˆubh)”}”(hŒipdb”h#Œ0.13.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒipdb-0.13.13-pyhd8ed1ab_0.conda”h+Œ 86baea403007ad4898d85c897c80b758”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ipdb-0.13.13-pyhd8ed1ab_0.conda”h0Œ@16ea279fae5b3b77a694bf7bc8bcda9c310be39d6fbf78664d3111bcd5f5758a”h2NhNh3(Œ	decorator”Œipython”Œpython >=2.7”Œtoml >=0.10.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ2´¯ß;hEMnHhFˆubh)”}”(hŒipfn”h#Œ1.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒipfn-1.4.4-pyhd8ed1ab_0.conda”h+Œ da527300537aee32ffddb710395e6e23”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/ipfn-1.4.4-pyhd8ed1ab_0.conda”h0Œ@82af0f335c8db82ac17fba9c2329b7abc9d8596680353eb6dc67d8c0c705f795”h2NhNh3Œnumpy”Œpandas >=0.22.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØòìùë…hEM©9hFˆubh)”}”(hŒiprpy”h#Œ0.11.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒiprpy-0.11.5-pyhd8ed1ab_0.conda”h+Œ 32668495a5c363ac783db81a162663d6”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/iprpy-0.11.5-pyhd8ed1ab_0.conda”h0Œ@b51030a867a40b2edf66f1242724d6d5fe241bbfeece17a2ef7eb1ef355fc0b6”h2NhNh3(Œatomman 1.4.9.*”Œbokeh”Œdatamodeldict”Œmatplotlib-base”Œnumpy >=1.15”Œpandas”Œpip”Œpython >=3.7”Œpython-kaleido”Œrequests”Œscipy”t”h9h?h@ŒNIST-PD”hDGAÙ`bŸ¾hEJHA hFˆubh)”}”(hŒipumspy”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ ipumspy-0.3.0-pyhd8ed1ab_0.conda”h+Œ d5badda9ace4328d4dcb60d2895067d3”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ipumspy-0.3.0-pyhd8ed1ab_0.conda”h0Œ@67910606014b45fd51dad2d6c3ed19b78fa56ea39ad14c58f306d094436062a9”h2NhNh3(Œbeautifulsoup4 >=4.11.1”Œclick >=7.0.0,<8.0.0”Œimportlib-metadata >=4.0.1”Œpandas >=1.0.4,<2.0.0”Œpyarrow >=3.0.0,<4.0.0”Œpython >=3.7.1”Œpyyaml >=5.4.1,<6.0.0”Œrequests >=2.25.1,<3.0.0”t”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAÙaåó¶hEMÞ˜hFˆubh)”}”(hŒipumspy”h#Œ0.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ ipumspy-0.3.0-pyhd8ed1ab_1.conda”h+Œ 567a5f423cb887cfabda3e1080a7e72b”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ipumspy-0.3.0-pyhd8ed1ab_1.conda”h0Œ@6628b389bbca724689f6a105fa15a89277396eb300dc32a60aebe963a1bc7606”h2NhNh3(Œbeautifulsoup4 >=4.11.1”Œchardet >=5.1.0”Œclick >=8.0.0”Œimportlib-metadata >=4.13.1”Œpandas >=1.5.2,<2.0.0”Œpyarrow >=10.0.0”Œpython >=3.8”Œpyyaml >=5.4.1,<6.0.0”Œrequests >=2.26.0,<3.0.0”t”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAÙu¶È´hEM±˜hFˆubh)”}”(hŒ	ipyaggrid”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"ipyaggrid-0.4.0-pyhd8ed1ab_0.conda”h+Œ 1a110aca4da3d315372b26a3b7d891e9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ipyaggrid-0.4.0-pyhd8ed1ab_0.conda”h0Œ@5c9781c8401fc0c04b19838784e47e2dbc8f6baed7662fb5594766e7adef5dcb”h2NhNh3(Œipywidgets >=7.4.0”Œpandas”Œpython >=3.6”Œsimplejson >=3.13.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÄ “uhEJõÉV hFˆubh)”}”(hŒ	ipyaladin”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"ipyaladin-0.2.1-pyhd8ed1ab_0.conda”h+Œ 8b3a3a303f8c61e86b7f768a851405d7”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ipyaladin-0.2.1-pyhd8ed1ab_0.conda”h0Œ@df7d4849edd4989aee51608fca0b90bd08beb02f00a535b6a8a609e984fe1724”h2NhNh3(Œipywidgets >=7.6.0,<9”Œjupyter”Œ
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ipydagred3”h#Œ0.3.8”h%Œpyh1d7be83_0”h'K hhh(h)hŒ#ipydagred3-0.3.8-pyh1d7be83_0.conda”h+Œ 6f483f6635ec01e981b59b9f6c379a0c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ipydagred3-0.3.8-pyh1d7be83_0.conda”h0Œ@c1aec4a83b71d5ffb59b61c4c54ae1b8e3eebfad85bc688b436dc77b20c9a2b3”h2NhNh3Œipywidgets >=7.5.1”Œpython >=3.7”†”h9h?h@Œ
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ipydagred3”h#Œ0.3.8”h%Œpyh5bfe37b_0”h'K hhh(h)hŒ#ipydagred3-0.3.8-pyh5bfe37b_0.conda”h+Œ 7ab7f0e32b3aa88b49ed451d720da717”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ipydagred3-0.3.8-pyh5bfe37b_0.conda”h0Œ@937cc1cc5e237941e868314122ae00a35319a2d84e2d67acd1b1309e8af4829e”h2NhNh3Œipywidgets >=7.5.1”Œpython >=3.7”†”h9h?h@Œ
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ipydagred3”h#Œ0.3.8”h%Œpyhc268e32_0”h'K hhh(h)hŒ#ipydagred3-0.3.8-pyhc268e32_0.conda”h+Œ 87b1db3a7d0c90f14644466d9662b863”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ipydagred3-0.3.8-pyhc268e32_0.conda”h0Œ@843cea1e96aea68929c4df3913e817853ca99d18e5b1fa9216645b31e540b2bb”h2NhNh3Œipywidgets >=7.5.1”Œpython >=3.7”†”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAÙ¯˜ÝãThEJq hFˆubh)”}”(hŒipydrawio-widgets”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*ipydrawio-widgets-1.3.0-pyhd8ed1ab_0.conda”h+Œ b2de7e4a66bee61b6041e3b4e82ac7a3”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/ipydrawio-widgets-1.3.0-pyhd8ed1ab_0.conda”h0Œ@385a72acf54a9676a8486d3512b62b78f5bddc80b06c95e6fbd8c794fc4e5567”h2NhNh3Œipywidgets >=7.6,<9”Œ
jsonschema”Œpython >=3.8”‡”h9h?h@Œ
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traittypes”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙréÚMÓhEJ¸Z hFˆubh)”•      }”(hŒipyvue”h#Œ1.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒipyvue-1.9.1-pyhd8ed1ab_0.conda”h+Œ 8251fa86dcb542dfc7e4bc770af82150”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ipyvue-1.9.1-pyhd8ed1ab_0.conda”h0Œ@db1804a299055bc9fbb5a633581a53ec3160c7901d2ec9feb388860d30f04681”h2NhNh3Œipywidgets >=7.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ•[st¼hEJÞ¸ hFˆubh)”}”(hŒ
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ipywidgets”h#Œ7.7.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#ipywidgets-7.7.5-pyhd8ed1ab_0.conda”h+Œ 24f3b831999b272ef42e2c1a6e9a0462”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ipywidgets-7.7.5-pyhd8ed1ab_0.conda”h0Œ@1d1d290cf1d81b0cd0a6efae3c70bf74ca41c33dfbb48c7effd863277d85dbba”h2NhNh3(Œipykernel >=4.5.1”Œipython >=4.0.0”Œipython_genutils >=0.2.0,<0.3.0”Œjupyterlab_widgets >=1.0.0,<3”Œpython >=3.3”Œtraitlets >=4.3.1”Œ!widgetsnbextension >=3.6.4,<3.7.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÝ^5hEJ,˜ hFˆubh)”}”(hŒ
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hEJX³ hFˆubh)”}”(hŒ
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jsonpickle”h#Œ3.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#jsonpickle-3.0.0-pyhd8ed1ab_0.conda”h+Œ 3da1052d25ad7d1bacd884629e189b15”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jsonpickle-3.0.0-pyhd8ed1ab_0.conda”h0Œ@daeb2af84877ea9e9632fce3e888d82268266ab5b815366658c6657f0030ba73”h2NhNh3Œimportlib_metadata”Œpython >=3.7”Œsetuptools <59”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØâ~RÞffhEMª”hFˆubh)”}”(hŒ
jsonschema”h#Œ4.17.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$jsonschema-4.17.3-pyhd8ed1ab_0.conda”h+Œ 723268a468177cd44568eb8f794e0d80”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda”h0Œ@4f68a23430d1afc5c9b41c46fbac0ade33c0bf57a293c646bfdd6dc65350eada”h2NhNh3(Œattrs >=17.4.0”Œimportlib-metadata”Œimportlib_resources >=1.4.0”Œpkgutil-resolve-name >=1.3.10”Œ.pyrsistent !=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0”Œpython >=3.7”Œtyping_extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØáÒ_
ÐåhEJW hFˆubh)”}”(hŒjsonschema-default”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+jsonschema-default-1.5.0-pyhd8ed1ab_0.conda”h+Œ 4c1dc703c024e78a108bd2d6cbfec9ac”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jsonschema-default-1.5.0-pyhd8ed1ab_0.conda”h0Œ@6af4d657e53c796037b8087362a3f0cee0758ddd8ae197ede3fa41c0ce45035b”h2NhNh3Œpython >=3.7,<4.0”Œxeger >=0.3.5,<0.4.0”†”h9h?h@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAØöSßÄœhEMyQhFˆubh)”}”(hŒjsonschema-gentypes”h#Œ2.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jsonschema-gentypes-2.2.3-pyhd8ed1ab_0.conda”h+Œ d95a5bd2d9a9bfee7633bf30985ac3f8”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jsonschema-gentypes-2.2.3-pyhd8ed1ab_0.conda”h0Œ@c2149bd2c10b39b81a4eccd79a3d11740ee8e1a4b5df14c106a4ccc3ecc8380b”h2NhNh3(Œ
jsonschema”Œpython >=3.8”Œpyyaml”Œreferencing”Œrequests”Œtyping-extensions”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙ§
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jupyterlab”h#Œ3.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#jupyterlab-3.5.3-pyhd8ed1ab_0.conda”h+Œ 69f71bc3d176b3ad3d9564a32bd049b8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-3.5.3-pyhd8ed1ab_0.conda”h0Œ@91492267eaf31b0eabb87cd8cff6d7d3e86af660802d2b6387b1e769787337dd”h2NhNh3(Œipython”Œjinja2 >=2.10”Œjupyter_core”Œjupyter_server >=1.16,<3”Œjupyterlab_server >=2.10,<3”Œ	nbclassic”Œnotebook <7”Œ	packaging”Œpython >=3.7”Œtomli”Œtornado >=6.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØó°qªÐåhEJÖY hFˆubh)”}”(hŒ
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qtpy >=1.9”Œscipy >=1.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ|ôX´9hEJœ‰hFˆubh)”}”(hŒlingua-language-detector”h#Œ1.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1lingua-language-detector-1.3.2-pyhd8ed1ab_0.conda”h+Œ b1c5240cec1b438e6cb2856979b6e3e1”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/lingua-language-detector-1.3.2-pyhd8ed1ab_0.conda”h0Œ@8dd0e79976c4fd5856f49ef73e30562376bc49e5a2cb87af738b87af8ca7fdff”h2NhNh3Œnumpy >=1.23.2,<2.0.0”Œpython >=3.6,<4.0”Œregex >=2022.8.17,<2023.0.0”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØöò<ZhEJs3hFˆubh)”}”(hŒlinkchecker”h#Œ10.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%linkchecker-10.2.1-pyhd8ed1ab_0.conda”h+Œ 83e4c3966eebc2e43dd084b8defa59f1”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/linkchecker-10.2.1-pyhd8ed1ab_0.conda”h0Œ@a96d29cb7968637660fcde346a0af52604003c372a7f0e53999d786223314c1d”h2NhNh3(Œbeautifulsoup4 >=4.8.1”Œdnspython >=2.0”Œpython >=3.7”Œrequests >=2.4”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØòÏ³aXhEJk  hFˆubh)”}”(hŒlinkedin-api”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%linkedin-api-2.0.1-pyhd8ed1ab_0.conda”h+Œ 99c77b1aaae74dcbd7080da55cae3667”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/linkedin-api-2.0.1-pyhd8ed1ab_0.conda”h0Œ@c48130cd743f3c70372715d782bba4b0955b3eae9ce94c855a433b5012db8192”h2NhNh3(Œbeautifulsoup4”Œlxml”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙøQª^5hEM`fhFˆubh)”}”(hŒlinkedin-scraper”h#Œ2.11.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*linkedin-scraper-2.11.1-pyhd8ed1ab_0.conda”h+Œ 5aedbcb38686b598df2ceba14d6ac7b3”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/linkedin-scraper-2.11.1-pyhd8ed1ab_0.conda”h0Œ@168047c7833bf6319bb2eab79463bc48e6be594dbbe4e7f009b47d2b617ff75a”h2NhNh3(Œlxml”Œpython >=3.6”Œrequests”Œselenium”t”h9h?h@ŒGPL-3.0”hDGAÙà?³C–hEM\xhFˆubh)”}”(hŒlinopy”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒlinopy-0.1.5-pyhd8ed1ab_0.conda”h+Œ 415469c5a577b18de23fe9e4bacdcabd”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/linopy-0.1.5-pyhd8ed1ab_0.conda”h0Œ@093cbfb835dcfd0bc8c5959738dcbe208651d5508416133c506e41e067352663”h2NhNh3(Œ
bottleneck”Œdask-core >=0.18.0”Œdeprecation”Œnumexpr”Œnumpy”Œpython >=3.8”Œscipy”Œtoolz”Œtqdm”Œxarray >=2022.9.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙE ¯
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liteiclink”h#Œ2023.04”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%liteiclink-2023.04-pyhd8ed1ab_0.conda”h+Œ 122f4952abf198c67c27d581b544cd7f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/liteiclink-2023.04-pyhd8ed1ab_0.conda”h0Œ@b15332d9e6932cfac2c2c52333543c7951ec4c71c2f390a713ae85b6a4323a18”h2NhNh3Œlitex”Œpython >=3.7”Œpyyaml”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙH»¶5?hEM(ÀhFˆubh)”}”(hŒlitepcie”h#Œ2023.04”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#litepcie-2023.04-pyhd8ed1ab_0.conda”h+Œ 4bac57e6b8ec065ccd652b10c8556a5a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/litepcie-2023.04-pyhd8ed1ab_0.conda”h0Œ@457463b62e0a9aa6507f2957f46f8d6d3c0c7103c2e77e428e2d0465b1e514bb”h2NhNh3(Œlitex”Œ	packaging”Œpython >=3.7”Œpyyaml”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙIÛy™šhEJW hFˆubh)”}”(hŒlitex”h#Œ2023.04”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ litex-2023.04-pyhd8ed1ab_0.conda”h+Œ 7a0462403b5614a70b53daa9637ab63b”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/litex-2023.04-pyhd8ed1ab_0.conda”h0Œ@91be3a1f14f187d6a79c2425164f5f02658ccc6d589eaf2e41e3607a9766d942”h2NhNh3(Œmigen”Œpyserial”Œpython >=3.7”Œrequests”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙAÆÌzáhEJd_ hFˆubh)”}”(hŒlittletable”h#Œ2.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$littletable-2.2.3-pyhd8ed1ab_0.conda”h+Œ 226dc585305298e46c016153596fb90d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/littletable-2.2.3-pyhd8ed1ab_0.conda”h0Œ@49395239d1a54eeadb226cd827d355747b6080930895603f6b25cc54a9af22a1”h2NhNh3(Œlxml”Œnumpy”Œopenpyxl”Œpython >=3.9”Œrich”Œtraits”t”h9h?h@ŒMIT”hDGAÙ!Ôvº^hEM‹ïhFˆubh)”}”(hŒlivvkit”h#Œ3.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ livvkit-3.1.0-pyhd8ed1ab_0.conda”h+Œ 44bb2fe98a734b6fa9625d098ce61068”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/livvkit-3.1.0-pyhd8ed1ab_0.conda”h0Œ@efdf8965a0d991c2cff546cb8a5068e710d4f31c23c6495872f2e4a0dc03aabe”h2NhNh3(Œjinja2”Œjson_tricks 3.11.0”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpandas”Œpybtex”Œpython >=3.6”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ°H.VhEJ³# hFˆubh)”}”(hŒlixtools”h#Œ2023.1.23.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'lixtools-2023.1.23.0-pyhd8ed1ab_0.conda”h+Œ 83ce07a5b233eb8ba61bca77c9cc14ff”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/lixtools-2023.1.23.0-pyhd8ed1ab_0.conda”h0Œ@f11a7f0baa814e39d39e7617a5eb2b92068a3d0e3c8f0d5154833603564ee29a”h2NhNh3(Œdask”Œfast-histogram”Œipython”Œ
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sqlalchemy”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ	!åVhEJÑæ hFˆubh)”}”(hŒlmfit”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒlmfit-1.2.1-pyhd8ed1ab_0.conda”h+Œ a1d4eb990d21275042c63abecc80953c”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/lmfit-1.2.1-pyhd8ed1ab_0.conda”h0Œ@03e9e0cbec053d14345f2d3908d3161ef78a7000b66f81dad206b3413ac9e9b9”h2NhNh3(Œasteval >=0.9.22”Œnumpy >=1.18”Œpip”Œpython >=3.6”Œscipy >=1.4”Œ
setuptools”Œsetuptools-scm >=6.0”Œuncertainties >=3.0.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ\” å`hEJ‚C hFˆubh)”}”(hŒ	lmoments3”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"lmoments3-1.0.5-pyhd8ed1ab_0.conda”h+Œ 7ee2b30044a6f267cd72dc262b7e431a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/lmoments3-1.0.5-pyhd8ed1ab_0.conda”h0Œ@448541f2f34c6c19ed0eef83d45ea5e81a5405864b750db88fae86a18973612d”h2NhNh3Œnumpy”Œpython >=3.8”Œscipy”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙâ­ÂhEM×‚hFˆubh)”}”(hŒ
loadmydata”h#Œ0.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$loadmydata-0.0.10-pyhd8ed1ab_0.conda”h+Œ 2ba96ae0b5e1c29d5b1a9457f241dce8”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/loadmydata-0.0.10-pyhd8ed1ab_0.conda”h0Œ@15e941acb61d850135cf98e45c3383660d20f6d8bb6bdaef25d2bd7762177fe2”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.6”Œrequests”Œscikit-learn >=0.23.0”Œscipy >=1.3.0”Œtqdm”Œyarl”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙ³ê)XhEMªIhFˆubh)”}”(hŒlocal-attention”h#Œ1.8.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(local-attention-1.8.6-pyhd8ed1ab_0.conda”h+Œ 532d3372177926140a6a85a2a14ac79d”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/local-attention-1.8.6-pyhd8ed1ab_0.conda”h0Œ@edd3aa0e8b180d5ee7c2af89a8b1df2dff7f234b4d1503d4002d1a9abcb14927”h2NhNh3Œeinops >=0.6.0”Œpython >=3.6”Œpytorch”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¯yOÎÙhEMR3hFˆubh)”}”(hŒlocal-migrator”h#Œ0.1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'local-migrator-0.1.9-pyhd8ed1ab_0.conda”h+Œ 3b4835166f589eb5a4c2e8e495b941c8”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/local-migrator-0.1.9-pyhd8ed1ab_0.conda”h0Œ@ca59938fe35f01ffbb223f566ab6f1e359330a1c8fbf80a18c5d72d6d4c6ad3f”h2NhNh3Œ	packaging”Œpython >=3.8”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ]ÛC–hEMb?hFˆubh)”}”(hŒlocal-migrator”h#Œ0.1.9”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'local-migrator-0.1.9-pyhd8ed1ab_1.conda”h+Œ cb0b9488295f630b3182a7f8d28547f7”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/local-migrator-0.1.9-pyhd8ed1ab_1.conda”h0Œ@de1ae7a5269a8000ba4710622cbf2c2dbb985a11f7f94ec8a8c97a68eb9c3145”h2NhNh3Œ	packaging”Œpython >=3.8”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙÊq‰7hEM»?hFˆubh)”}”(hŒlocalstack-client”h#Œ2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(localstack-client-2.2-pyhd8ed1ab_0.conda”h+Œ 8692ce050e72b8e008db22081b31a863”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/localstack-client-2.2-pyhd8ed1ab_0.conda”h0Œ@ad3ed0dc73fda93fab960cbc5a3a3c14b9a2aa4aacf2566e1efc0c250fe722bc”h2NhNh3Œboto3”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ â€ãdZhEMæJhFˆubh)”}”(hŒlocalstack-ext”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'localstack-ext-1.3.1-pyhd8ed1ab_0.conda”h+Œ bfd86cce8980160475a5bde43b1c54a1”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/localstack-ext-1.3.1-pyhd8ed1ab_0.conda”h0Œ@4292812bac573cb722894ae909a32cbf92aa94f85d1a1e9be6139a8a16bcec15”h2NhNh3(Œdeepdiff >=5.5.0”Œ
dill 0.3.2”Œdnslib >=0.9.10”Œdnspython >=1.16.0”Œdulwich >=0.19.16”Œlocalstack >=0.13.2”Œ localstack-plugin-loader >=0.1.0”Œpyaes >=1.6.0”Œpython >=3.6”Œrequests >=2.20.0”Œtabulate”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ¦"Ø£×hEJD( hFˆubh)”}”(hŒlocaltileserver”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(localtileserver-0.7.1-pyhd8ed1ab_0.conda”h+Œ 806966a6872f967ce883da169e0600db”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/localtileserver-0.7.1-pyhd8ed1ab_0.conda”h0Œ@33ed8ebe19fa8c044f17c7b19ffb3430b6d796940de04ee7f24d5de5186edb18”h2NhNh3(Œclick”Œflask >=2.0.0”Œflask-caching”Œ
flask-cors”Œflask-restx >=0.5.0”Œlarge-image >=1.22.1”Œ$large_image_source_rasterio >=1.22.1”Œpython >=3.7”Œrasterio”Œrequests”Œscooby”Œserver-thread”Œwerkzeug”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ”É<IºhEJºë¶ hFˆubh)”}”(hŒlocaltileserver”h#Œ0.7.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ(localtileserver-0.7.1-pyhd8ed1ab_1.conda”h+Œ a1ed7a6a5257ea56aeee606d98f3a247”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/localtileserver-0.7.1-pyhd8ed1ab_1.conda”h0Œ@a4321d5f41a2643f4e3440a8366d672671f82e70625dcbcffcf00ea875428810”h2NhNh3(Œclick”Œflask >=2.0.0”Œflask-caching”Œ
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Apache-2.0”hBŒAPACHE”hDGAÙ—JŸ¾hEM4qhFˆubh)”}”(hŒlocust”h#Œ2.15.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ locust-2.15.1-pyhd8ed1ab_0.conda”h+Œ 4604980a6830d5bde13a008ce64cc7dd”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/locust-2.15.1-pyhd8ed1ab_0.conda”h0Œ@c4d36b8e9d7b85dbb4c1bcd72b47547542c4a503dbf92836a6a9d33249b9e633”h2NhNh3(Œconfigargparse >=1.0”Œflask >=2.0.0”Œflask-basicauth >=0.2.0”Œflask-cors >=3.0.10”Œgevent >=20.12.1”Œgeventhttpclient >=2.0.2”Œmsgpack-python >=0.6.2”Œpsutil >=5.6.7”Œpython >=3.7”Œpywin32-on-windows”Œpyzmq >=22.2.1,!=23.0.0”Œrequests >=2.23.0”Œroundrobin >=0.0.2”Œtyping-extensions >=3.7.4.3”Œwerkzeug >=2.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ' ÜIºhEJÜX hFˆubh)”}”(hŒlofo-importance”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(lofo-importance-0.3.3-pyhd8ed1ab_0.conda”•      h+Œ 52919a71d991e77a9baca72722b9a19e”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/lofo-importance-0.3.3-pyhd8ed1ab_0.conda”h0Œ@75bea61c26c7ff3a0714b1260e5760785833157698deeae7ad74025acc5ef792”h2NhNh3(Œlightgbm”Œnetworkx”Œnumpy >=1.17.3”Œpandas”Œpython >=3.6”Œscikit-learn >=0.20.3”Œscipy”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙõst¼hEM[<hFˆubh)”}”(hŒlog2d”h#Œ0.0.18”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒlog2d-0.0.18-pyhd8ed1ab_0.conda”h+Œ 3631569486ea2eb0ecb158f95892268e”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/log2d-0.0.18-pyhd8ed1ab_0.conda”h0Œ@0857cadbf485b50b4a3a6887af60c3d9164f6b9201852217f3277470de9ac6af”h2NhNh3Œ
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lsprotocol”h#Œ
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Apache-2.0”hBŒAPACHE”hDGAÙéÌMÒòhEJ¡ hFˆubh)”}”(hŒmolmass”h#Œ	2023.4.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$molmass-2023.4.10-pyhd8ed1ab_0.conda”h+Œ 1c28596e96de3eb2a4bf22f58627889f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/molmass-2023.4.10-pyhd8ed1ab_0.conda”h0Œ@ae1ee4ed75ac2e9e3cc46ea3190feb00a86d4a1d90853c32275542cca7ba3b70”h2NhNh3Œpython >=3.8”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙæVGïžhEJa hFˆubh)”}”(hŒmolmass-elements-gui”h#Œ	2023.4.10”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ1molmass-elements-gui-2023.4.10-pyh1a96a4e_0.conda”h+Œ 1fc61a61621d2637d561872e91e8ebd0”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/molmass-elements-gui-2023.4.10-pyh1a96a4e_0.conda”h0Œ@89fe38f080be5e0698346c702fa88578871cb1047a58ef77997253a376766aa4”h2NhNh3Œmolmass 2023.4.10 pyhd8ed1ab_0”Œpython”Œwxpython >=4.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙæY‰&éhEMÈhFˆubh)”}”(hŒmolmass-web”h#Œ	2023.4.10”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ(molmass-web-2023.4.10-pyh1a96a4e_0.conda”h+Œ 32c8c9b7c472b1caabd67e7badd91447”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/molmass-web-2023.4.10-pyh1a96a4e_0.conda”h0Œ@10f96b8292cb2cf4fff3f83b0300b1a05d77bb747ebce9359b0ca3fa88bc2b66”h2NhNh3Œflask”Œmolmass 2023.4.10 pyhd8ed1ab_0”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙæ\Ê=qhEMœhFˆubh)”}”(hŒ	mols2grid”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"mols2grid-1.1.1-pyhd8ed1ab_0.conda”h+Œ ca29664d4c48dd62d97a6aff27e3becd”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mols2grid-1.1.1-pyhd8ed1ab_0.conda”h0Œ@7bfb09bfac54f808e0f1a0920f0aeebb8f251413ee22fa320c4d80639cd75c71”h2NhNh3(Œipywidgets >=7,<8”Œjinja2 >=2.11.0”Œnumpy”Œpandas”Œpython >=3.7”Œrdkit >=2020.03.1”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ|8žéyhEM?ÙhFˆubh)”}”(hŒ	molsystem”h#Œ2023.4.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%molsystem-2023.4.6-pyhd8ed1ab_0.conda”h+Œ f920b0789269b769107280021cc1dc2e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/molsystem-2023.4.6-pyhd8ed1ab_0.conda”h0Œ@bd13e3aeaa8db5db14fce941272f788fc31c2314ff926828b449d0cf5e1a5334”h2NhNh3(Œnumpy”Œ	openbabel”Œpandas”Œpathvalidate”Œpycifrw”Œpython >=3.8”Œrdkit”Œ
seamm-util”Œseekpath”Œspglib”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAÙàeèbNhEJ‚ hFˆubh)”}”(hŒmomepy”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmomepy-0.6.0-pyhd8ed1ab_0.conda”h+Œ 51da17194f1cfd591c534104af0ed436”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/momepy-0.6.0-pyhd8ed1ab_0.conda”h0Œ@156ead6c37d995336e3762e9db38b86ecae6191e31176609830dbbf0182ac24b”h2NhNh3(Œgeopandas >=0.8”Œlibpysal”Œnetworkx”Œpygeos”Œ
python >=3”Œscipy”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ=Ñ7LhEJìY hFˆubh)”}”(hŒmomepy”h#Œ0.6.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒmomepy-0.6.0-pyhd8ed1ab_1.conda”h+Œ 9b4f9d7cdc674244b3484e76e0ba96b7”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/momepy-0.6.0-pyhd8ed1ab_1.conda”h0Œ@15c9570b3bc184da34d6a2c1f52422b9c0a6b9c9ba966e4334f2ca89772b42df”h2NhNh3(Œgeopandas >=0.8”Œlibpysal”Œnetworkx”Œ
python >=3”Œscipy”Œshapely >=2”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ-„P´9hEJü` hFˆubh)”}”(hŒmomlevel”h#Œ0.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!momlevel-0.0.9-pyhd8ed1ab_0.conda”h+Œ 40c74990fac3b081451ceca453fd4c0b”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/momlevel-0.0.9-pyhd8ed1ab_0.conda”h0Œ@641d36a395180a1c2d9c1ed9988eff95150826a98f3754db7906ec199953e82c”h2NhNh3(Œimportlib-metadata <5.0.0”Œnc-time-axis”Œnetcdf4”Œnumpy”Œpython >=3.8”Œscikit-learn”Œxarray”Œxgcm”t”h9h?h@ŒLicenseRef-PUBLIC-DOMAIN”hDGAÙ!Åb^hEJÊªƒ hFˆubh)”}”(hŒmonai”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmonai-1.2.0-pyhd8ed1ab_0.conda”h+Œ f6364f0e6517636a5f9561215d3b3997”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/monai-1.2.0-pyhd8ed1ab_0.conda”h0Œ@e5eda1c8221712a336b4b930e942675d9d515509398d96bf4aaf3609b7f6c9d9”h2NhNh3Œnumpy >=1.20”Œpython >=3.8”Œpytorch >=1.9”‡”h9h?h@Œ
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pyresample”Œpython >=3.6”Œrequests”Œs3fs”Œscipy”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ74ÌÝ/hEJn hFˆubh)”}”(hŒmongita”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ mongita-1.2.0-pyhd8ed1ab_0.conda”h+Œ ead51fd928f161d3e8c1a3e3ea7b597f”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/mongita-1.2.0-pyhd8ed1ab_0.conda”h0Œ@2a7c606c58f53ad8e23920fcdac9c539684d0c13115869e72e297b6f71f894e3”h2NhNh3Œpymongo >=3.0,<4.0”Œpython >=3.6”Œsortedcontainers >=2.3,<3.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙiA`ÄœhEMLhFˆubh)”}”(hŒ
monkeytype”h#Œ23.3.0”h%Œpyh71feb2d_0”h'K hhh(h)hŒ$monkeytype-23.3.0-pyh71feb2d_0.conda”h+Œ f8810adda58b4fb214c0379a9da655dc”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/monkeytype-23.3.0-pyh71feb2d_0.conda”h0Œ@ccb6e87291bad926b25f89f8c5c1654c083eed4ed9b47d868785bfdb4f1d9e9d”h2NhNh3Œlibcst >=0.4.4”Œmypy_extensions”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ9^éyhEM6ÒhFˆubh)”}”(hŒmontreal-forced-aligner”h#Œ2.2.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1montreal-forced-aligner-2.2.14-pyhd8ed1ab_0.conda”h+Œ 147650c1bc4488e7321341f228be814a”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/montreal-forced-aligner-2.2.14-pyhd8ed1ab_0.conda”h0Œ@f8a4edf2c4e02620be9b6376ce1cc49e3bcc01a78adc72e3cdbabf2b4a1182b8”h2NhNh3(Œ	baumwelch”Œbiopython 1.79.*”Œ
dataclassy”Œffmpeg”Œhdbscan”Œkaldi”Œkneed”Œlibrosa”Œmatplotlib-base”Œngram”Œnumba”Œnumpy”Œopenfst”Œpgvector”Œpgvector-python”Œ
postgresql”Œpraatio 6.0.0.*”Œpsycopg2”Œpynini”Œpysoundfile”Œpython >=3.8”Œpyyaml”Œrequests”Œrich”Œ
rich-click”Œscikit-learn”Œseaborn”Œsox”Œsqlalchemy >=2.0”Œsqlite”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ º‘%hEJ| hFˆubh)”}”(hŒmonty”h#Œ2023.5.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!monty-2023.5.8-pyhd8ed1ab_0.conda”h+Œ 1c62e735e1b2e515ff8618674e76076c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/monty-2023.5.8-pyhd8ed1ab_0.conda”h0Œ@46215b1243c4dbd55829d609e511a20f5d65914312edddc16b7a93cf10d18434”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙE·ÎÙhEM§hFˆubh)”}”(hŒmontydb”h#Œ2.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ montydb-2.5.0-pyhd8ed1ab_0.conda”h+Œ a01078b63289a62e312e0e5ea31c3b61”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/montydb-2.5.0-pyhd8ed1ab_0.conda”h0Œ@a44be384e8b1bf5f4dc3ad87b0f8d40431d5d62c60a13423206c54b3c0c53447”h2NhNh3Œpython >=3.6,<3.11”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØø`ö õÃhEMóíhFˆubh)”}”(hŒmore-itertools”h#Œ9.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'more-itertools-9.1.0-pyhd8ed1ab_0.conda”h+Œ 1698a717f83cfecf644a877c174c84bd”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/more-itertools-9.1.0-pyhd8ed1ab_0.conda”h0Œ@3ee8cbbe4004c56b695a5e734b7dc4d59dacbfefc193ee42c82238b1cf888e08”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÿ6Z7l‹hEM¢ÉhFˆubh)”}”(hŒmorecantile”h#Œ3.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$morecantile-3.4.0-pyhd8ed1ab_0.conda”h+Œ d78203f64efe31644468e9f67f811aab”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/morecantile-3.4.0-pyhd8ed1ab_0.conda”h0Œ@18e1f77e4409c3522529aae98599f987c0ac1d59c0a6171f8479d672a6afea6e”h2NhNh3(Œattrs”Œ
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cachetools”Œpydantic”Œpyproj >=3.1,<4.dev0”Œpython >=3.8”Œrasterio >=1.2.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ ÖüöhEM$‡hFˆubh)”}”(hŒmorphometrics-engine”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-morphometrics-engine-0.0.1-pyhd8ed1ab_0.conda”h+Œ 91d525ba626b0e90da7dae9b2b451af3”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/morphometrics-engine-0.0.1-pyhd8ed1ab_0.conda”h0Œ@b3a7fa9f7ff63132ec11ffaf01f1a6d468b6bbaaebfc2a2892f226750c766b2c”h2NhNh3(Œmagicgui”Œnapari”Œnapari-skimage-regionprops”Œnumpy”Œpandas”Œpython >=3.8”Œqtpy”Œsuperqt”Œtoolz”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØë³®`BhEM‘9hFˆubh)”}”(hŒmorphosamplers”h#Œ0.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'morphosamplers-0.0.8-pyhd8ed1ab_0.conda”h+Œ 2de84a5f1a404a74700a6528b6a85103”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/morphosamplers-0.0.8-pyhd8ed1ab_0.conda”h0Œ@27b44b444d5fcda89f4d73e613554b7d391c151b409906c16e23eb13e78377b0”h2NhNh3(Œeinops”Œnumpy”Œpsygnal”Œpydantic”Œpython >=3.8”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙmcffhEMlihFˆubh)”}”(hŒmorphospaces”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%morphospaces-0.0.3-pyhd8ed1ab_0.conda”h+Œ 57286397a28abdb295bb7a4e233f376e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/morphospaces-0.0.3-pyhd8ed1ab_0.conda”h0Œ@1fb20bbce6b398cd227075dc363ce7bbeafef15fc46c534ef6cec1a7d9998b43”h2NhNh3(Œh5py”Œmagicgui”Œnumpy”Œpython >=3.8”Œpytorch-lightning”Œqtpy”Œscikit-image”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙhìE/hEM+AhFˆubh)”}”(hŒmorphys”h#Œ1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmorphys-1.0-pyhd8ed1ab_0.conda”h+Œ 5ca01eb0a1927c236ee37dba81d05bbc”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/morphys-1.0-pyhd8ed1ab_0.conda”h0Œ@2eb9d9c55b940d657eef2ec6a05fb9547a62f1b25d24aa6a7a74b5ac43d10f21”h2NhNh3Œpython >=3.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØöÈC]VhEM›&hFˆubh)”}”(hŒmosaic-clustering”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*mosaic-clustering-0.4.1-pyhd8ed1ab_0.conda”h+Œ 1f34e48dfd25d53728e96989a2307e47”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mosaic-clustering-0.4.1-pyhd8ed1ab_0.conda”h0Œ@894e6c6debca4c580266a99e5c04d8d4adcb8162e90974eaf21bbaa0fefea79e”h2NhNh3(Œbeartype >=0.10.4”Œclick >=7.0.0”Œleidenalg >=0.8.0”Œmatplotlib-base >=3.5.0”Œnumpy >=1.21.0”Œpandas”Œpython >=3.8”Œpython-igraph”Œscikit-learn”Œscikit-learn-extra”Œscipy”Œtyping-extensions >=3.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙQó¥ãhEMMnhFˆubh)”}”(hŒ
mosartwmpy”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#mosartwmpy-0.6.0-pyhd8ed1ab_0.conda”h+Œ 219eef17fb6bfcad3425966e628c9cc8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/mosartwmpy-0.6.0-pyhd8ed1ab_0.conda”h0Œ@761deeb9314496dadbc4bdf2bd7e7c6472a70afa790b144fba6fa46436a13339”h2NhNh3(Œbmipy >=2.0”Œclick >=8.0.1”Œcontextily >=1.2.0”Œdask >=2021.10.0”Œgeopandas >=0.10.2”Œh5netcdf >=0.11.0”Œhvplot >=0.7.3”Œmatplotlib-base >=3.4.3”Œnc-time-axis >=1.4.0”Œnetcdf4 >=1.5.7”Œnumba >=0.53.1”Œnumpy >=1.20.3”Œpandas >=1.3.4”Œpathvalidate >=2.5.0”Œpsutil >=5.8.0”Œpyarrow >=5.0.0”Œpyomo >=6.2”Œpython >=3.6”Œpython-benedict >=0.24.3”Œregex >=2021.10.23”Œrequests >=2.26.0”Œrioxarray >=0.8.0”Œtqdm >=4.62.3”Œxarray >=0.19.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØûhÜ‹DhEJD9›hFˆubh)”}”(hŒmoscot”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmoscot-0.3.0-pyhd8ed1ab_0.conda”h+Œ 54026af47e183a8a77366f60b852f03f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/moscot-0.3.0-pyhd8ed1ab_0.conda”h0Œ@4c6f21e4cb8b1f4ba0bdec38c58449fbb4497c0384788f0ff0d6f595788d5263”h2NhNh3(Œanndata >=0.8.0”Œcloudpickle >=2.2.0”Œdocrep >=0.3.2”Œmatplotlib-base >=3.5.0”Œnetworkx >=2.6.3”Œnumpy >=1.20.0”Œott-jax >=0.4.0”Œpandas <2.0”Œpython >=3.8”Œscanpy >=1.9.3”Œscipy >=1.7.0”Œwrapt >=1.13.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÖJÇl‹hEJ<w hFˆubh)”}”(hŒmotifcluster”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%motifcluster-0.2.3-pyhd8ed1ab_0.conda”h+Œ a045f41fabbff7b1f96e287d65362438”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/motifcluster-0.2.3-pyhd8ed1ab_0.conda”h0Œ@636dbbd8f004c6c9ba42f748eba5caa6b38a8b958cc5320146e2973474eeafcc”h2NhNh3(Œnetworkx >=2.4”Œnumpy >=1.18.3”Œpython >=3.5”Œscikit-learn >=0.22.2”Œscipy >=1.4.1”t”h9h?h@ŒGPL-3.0-only”hBŒGPL3”hDGAØÝ÷y¥ó¶hEM‰qhFˆubh)”}”(hŒmoto”h#Œ4.1.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmoto-4.1.11-pyhd8ed1ab_0.conda”h+Œ 5ea9fddda04eebeee16236d0f3240df1”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/moto-4.1.11-pyhd8ed1ab_0.conda”h0Œ@b351e5ed49f03a8aefb6a6c9c54fa34cc9792e4c7ef06b77803001ae195c12f3”h2NhNh3(Œaws-xray-sdk !=0.96,>=0.93”Œboto3 >=1.9.201”Œbotocore >=1.12.201”Œcfn-lint >=0.40.0”Œcryptography >=3.3.1”Œdocker-py >=2.5.1”Œflask !=2.2.0,!=2.2.1”Œ
flask_cors”Œgraphql-core”Œidna >=2.5,<4”Œimportlib_metadata”Œjinja2 >=2.10.1”Œjsondiff >=1.1.2”Œopenapi-spec-validator >=0.2.8”Œpyparsing >=3.0.7”Œpython >=3.3”Œpython-dateutil >=2.1,<3.0.0”Œpython-jose >=3.1.0,<4.0.0”Œpytz”Œpyyaml >=5.1”Œrequests >=2.5”Œresponses >=0.9.0”Œ
setuptools”Œsshpubkeys >=3.1.0”Œwerkzeug >=0.5,!=2.2.0,!=2.2.1”Œ	xmltodict”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙB–'PhEJ…¦ hFˆubh)”}”(hŒmotor”h#Œ3.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmotor-3.1.2-pyhd8ed1ab_0.conda”h+Œ f7ab0ae30d5f425d04c412c1d5425257”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/motor-3.1.2-pyhd8ed1ab_0.conda”h0Œ@5f053e9d153643e3180ddd92682783242603caa9a3e42f8dc5f9a195e1bb86f1”h2NhNh3(Œaiohttp”Œpymongo >=4.1,<5”Œpython >=3.7”Œtornado >=6.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ‡ª¥p¤hEMq½hFˆubh)”}”(hŒmovingpandas”h#Œ0.16.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&movingpandas-0.16.0-pyhd8ed1ab_0.conda”h+Œ 2bceffa89fe7ee5f5e03c85d14158aa3”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/movingpandas-0.16.0-pyhd8ed1ab_0.conda”h0Œ@c94cad1ae80c37627b77ceed7cab60d308e65e793f9f377d9fe765e755f7cace”h2NhNh3(Œfiona”Œgeopandas-base”Œgeopy”Œmatplotlib-base”Œpython >=3.7”Œrtree”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙàô7¾whEMéèhFˆubh)”}”(hŒmp-api”h#Œ0.33.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ mp-api-0.33.3-pyhd8ed1ab_0.conda”h+Œ 545713bc05cf6d5c7ab03edf6ccbe0f1”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/mp-api-0.33.3-pyhd8ed1ab_0.conda”h0Œ@ca4845bad00e98e240b78f745ac159610d362c6d02ee32ad8e708102bbda3056”h2NhNh3(Œemmet-core >=0.54.0”Œmonty >=2021.3.12”Œmsgpack-python”Œpymatgen >=2022.3.7”Œpython >=3.8”Œrequests >=2.23.0”Œ
setuptools”Œtyping-extensions >=3.7.4.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ§u‘hhEMœÀhFˆubh)”}”(hŒmpas-analysis”h#Œ1.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&mpas-analysis-1.8.0-pyhd8ed1ab_0.conda”h+Œ 93be52482187394b7a3c423102219b81”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/mpas-analysis-1.8.0-pyhd8ed1ab_0.conda”h0Œ@b5e235c20775f292230120e6ceb60ad94bfff9e522c74fca7299279dbee016cb”h2NhNh3(Œ
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setuptools”Œshapely”Œxarray >=0.14.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØâ8ÊOßhEJÿý: hFˆubh)”}”(hŒmpiplus”h#Œv0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!mpiplus-v0.0.2-pyhd8ed1ab_0.conda”h+Œ c03a337dc710c51d64c15db34247b6c4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/mpiplus-v0.0.2-pyhd8ed1ab_0.conda”h0Œ@e676355de0ca294fd737488538df1ca400ef98504fcf09dfa929f27df1161a63”h2NhNh3Œnumpy >=1.11”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙøaÎvÉhEMFhFˆubh)”}”(hŒmpl-interactions”h#Œ0.23.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*mpl-interactions-0.23.0-pyhd8ed1ab_0.conda”h+Œ 0cc3ae4046c423ce916f890ddb627ebf”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mpl-interactions-0.23.0-pyhd8ed1ab_0.conda”h0Œ@5ddbb501ecf23eac56c4f1fcc89c3467b59f8d3f9981de440301271e0b73b26a”h2NhNh3Œmatplotlib-base >=3.4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙhß*Ÿ¾hEM­hFˆubh)”}”(hŒmpl-multitab”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%mpl-multitab-1.0.0-pyhd8ed1ab_0.conda”h+Œ ac570c82c8de9529e05538af6b52e7e0”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/mpl-multitab-1.0.0-pyhd8ed1ab_0.conda”h0Œ@c8ed8147c1c4b829c37f33d7d27d04adc10340ac48469e484d22f1b28f0540c4”h2NhNh3(Œloguru”Œ
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mplfinance”h#Œ0.12.9b7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&mplfinance-0.12.9b7-pyhd8ed1ab_0.conda”h+Œ a6ae09f578ad4d16c1950774d9c15503”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/mplfinance-0.12.9b7-pyhd8ed1ab_0.conda”h0Œ@841fa84b60076e1faae2cb22f3a2cdf7e16ecb7b40f89e24cb928733cd8886ae”h2NhNh3Œmatplotlib-base”Œpandas”Œpython >=3.6”‡”h9h?h@ŒLicenseRef-PSF-based”hBŒPSF”hDGAØå¨„å`hEM›ùhFˆubh)”}”(hŒmplhep”h#Œ0.3.28”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ mplhep-0.3.28-pyhd8ed1ab_0.conda”h+Œ da8de08dcba38012fe158879fb4db312”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/mplhep-0.3.28-pyhd8ed1ab_0.conda”h0Œ@d64b25c731050f3f2a8ba1f5e534023ebc7bc2001a307ee7df44093ea1f7cd38”h2NhNh3(Œmatplotlib-base >=3.4”Œmplhep_data”Œnumpy >=1.16.0”Œ	packaging”Œpython >=3.7”Œuhi >=0.2.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ´ò{dZhEMÅŠhFˆubh)”}”(hŒ	mplsignal”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"mplsignal-0.2.0-pyhd8ed1ab_0.conda”h+Œ 131e3efd51d1703631359b5efe28d80b”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mplsignal-0.2.0-pyhd8ed1ab_0.conda”h0Œ@39ed8732c2ac1c06f0e0e94ce0d42cfea9dc3086bf94ffcac6ac5782848da1c2”h2NhNh3Œ
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mpltoolbox”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#mpltoolbox-0.4.0-pyhd8ed1ab_0.conda”h+Œ 363bea75083b08e06dd871d0d158605c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/mpltoolbox-0.4.0-pyhd8ed1ab_0.conda”h0Œ@3f7b22fdd1004901e3dea9a6647279212d60995de89a9bb7851b999d90990732”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØïµ*­²-hEMBhFˆubh)”}”(hŒmpmath”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmpmath-1.3.0-pyhd8ed1ab_0.conda”h+Œ dbf6e2d89137da32fa6670f3bffc024e”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/mpmath-1.3.0-pyhd8ed1ab_0.conda”h0Œ@a4f025c712ec1502a55c471b56a640eaeebfce38dd497d5a1a33729014cac47a”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙî¼‹•hEJC° hFˆubh)”}”(hŒ
mps-motion”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#mps-motion-0.3.3-pyhd8ed1ab_0.conda”h+Œ d4ec73bb1ad1de7133d758379a793f47”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/mps-motion-0.3.3-pyhd8ed1ab_0.conda”h0Œ@bfabbb6bc5bc56847513b14ea2eb1260c2c109d4c52f2c7d9d250ab7ab547f2a”h2NhNh3(Œap_features”Œcardiac-mps”Œdaiquiri”Œdask”Œ
dask-image”Œh5py”Œ	libopencv”Œmatplotlib-base”Œnumba”Œnumpy”Œopencv”Œ	py-opencv”Œpython >=3.7”Œscipy”Œtqdm”Œtyper”Œtyping-extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÏÞVhEMáhFˆubh)”}”(hŒmpxj”h#Œ11.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmpxj-11.5.2-pyhd8ed1ab_0.conda”h+Œ 095f9a746598390ed9e5ea2fcca6d24a”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/mpxj-11.5.2-pyhd8ed1ab_0.conda”h0Œ@39a29bdf4ab45167a6b6d804a8f7f88e18e478e342c69157a73a72c8cc576476”h2NhNh3Œjpype1”Œopenjdk”Œpython >=3.6”‡”h9h?h@ŒLGPL-2.1-only”hBŒLGPL”hDGAÙ ™¹­hEJ€‰hFˆubh)”}”(hŒmsal”h#Œ1.22.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmsal-1.22.0-pyhd8ed1ab_0.conda”h+Œ 24c290ee3278fd9a33b00cd1f8d1db0f”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/msal-1.22.0-pyhd8ed1ab_0.conda”h0Œ@7f4cc4d6383263ad9cc69dc83bb5dd5d4a309ebe53f117e1d14ffd76f31939de”h2NhNh3(Œcryptography >=0.6,<43”Œpyjwt >=1.0.0,<3”Œpython >=3.6”Œrequests >=2.0.0,<3”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙvéW\)hEJí hFˆubh)”}”(hŒmsal_requests_auth”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+msal_requests_auth-0.7.0-pyhd8ed1ab_0.conda”h+Œ 17621228e8c042140323039d4832412f”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/msal_requests_auth-0.7.0-pyhd8ed1ab_0.conda”h0Œ@087d2f1777113ac221b5adbb76ee507e092179cf334cecc85ba42b16ec53fdc8”h2NhNh3(Œmsal”Œ	pyperclip”Œpython >=3.7”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙW5ó¶hEM3hFˆube(h)”}”(hŒmsg-extractor”h#Œ0.41.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'msg-extractor-0.41.5-pyhd8ed1ab_0.conda”h+Œ 8336d071146d163aea4bd6191a072769”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/msg-extractor-0.41.5-pyhd8ed1ab_0.conda”h0Œ@b6eb110f7e629d15102b659e2d5625ea722b8384ab2dc0d017ff67244578898a”h2NhNh3(Œbeautifulsoup4”Œchardet”Œcompressed-rtf”Œebcdic”Œimapclient >=2.3.0,<3”Œmailbits”Œolefile”Œoletools >=0.60 *_2”Œpython >=3.6”Œred-black-tree-mod 1.20.*”Œrtfde”Œtzlocal 4.2.*”t”h9h?h@ŒGPL 3.0”hBŒGPL3”hDGAÙ!ƒ¶¹hshEJÀ hFˆubh)”}”(hŒ	msmhelper”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"msmhelper-1.0.4-pyhd8ed1ab_0.conda”h+Œ 71a16cef794f0e3ce16342bddcf7bef8”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/msmhelper-1.0.4-pyhd8ed1ab_0.conda”h0Œ@33504518db8b8f359f7508f68e48885b0b4e207a3f979b41ce4bd4477806903e”h2NhNh3(Œclick”Œdecorit”Œnumba”Œnumpy”Œpandas”Œprettypyplot”Œpython >=3.7”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÙ “uhEMK¢hFˆubh)”}”(hŒmsnoise”h#Œ1.6.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ msnoise-1.6.3-pyhd8ed1ab_1.conda”h+Œ 14026e1857e631b2af5a44937249f257”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/msnoise-1.6.3-pyhd8ed1ab_1.conda”h0Œ@28a9dc5d91abe7c611ec1b4e50e49fff31c4f3d51fc7b3a07e4dad90e2b4665b”h2NhNh3(Œclick”Œflask”Œflask-admin”Œ	flask-wtf”Œfolium”Œjinja2”Œlogbook”Œmarkdown”Œmatplotlib-base”Œnumpy”Œobspy”Œpandas”Œpymysql”Œpython >=3.7”Œscandir”Œscipy”Œ
setuptools”Œ
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focal-loss”Œmagicgui”Œnapari”Œnumpy”Œopencv”Œpython >=3.8”Œqtpy”Œscikit-image”Œ
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Apache-2.0”hBŒAPACHE”hDGAØñÂjÀƒhEM=VhFˆubh)”}”(hŒnapari-qrcode”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&napari-qrcode-0.0.1-pyhd8ed1ab_0.conda”h+Œ 68b6d73cdf064733bed449f4250d33ee”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/napari-qrcode-0.0.1-pyhd8ed1ab_0.conda”h0Œ@91f8732080080b765dcef7c6e1af1d91d3d9d4ab6273c784c8946a4d51239199”h2NhNh3(Œmagicgui”Œnumpy”Œpython >=3.8”Œqrcode”Œqtpy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ	o³Æ¨hEMÇ*hFˆubh)”}”(hŒnapari-result-stack”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,napari-result-stack-0.0.1-pyhd8ed1ab_0.conda”h+Œ 1b683d3112aa3d2f7b40b40bd1d032ae”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/napari-result-stack-0.0.1-pyhd8ed1ab_0.conda”h0Œ@b8091a1815b9be33c119c1902fb9888b101a311d4a34500b39f8bff6ad982f63”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpython >=3.8”Œqtpy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙaÁÊÁhEMÞ]hFˆubh)”}”(hŒnapari-rioxarray”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)napari-rioxarray-0.0.1-pyhd8ed1ab_0.conda”h+Œ f6b77cdbdbe397b3ce2e286dda3a29cc”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/napari-rioxarray-0.0.1-pyhd8ed1ab_0.conda”h0Œ@0f4495a7d06260dc5b8b2fcb942ddc9a55a8f57f556d6930a418f9b567ce9e93”h2NhNh3(Œnapari”Œnumpy”Œpython >=3.8”Œ	rioxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ»J¢\hEJ©© hFˆubh)”}”(hŒ
napari-roi”h#Œ0.1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#napari-roi-0.1.8-pyhd8ed1ab_0.conda”h+Œ 59ea8b892c1c9450f381ba1f25fafad6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/napari-roi-0.1.8-pyhd8ed1ab_0.conda”h0Œ@82a862627c63117d95661aaad61e1bd17c25ce020fe70f857352539d61e86d0e”h2NhNh3(Œnapari >=0.4.13”Œnumpy”Œpandas”Œpython >=3.8”Œqtpy”Œvispy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØûì›¥ãhEMFhFˆubh)”}”(hŒ
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Apache-2.0”hBŒAPACHE”hDGAÙ"ÜK'ß;hEJóJ hFˆubh)”}”(hŒneptune-aws”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$neptune-aws-1.0.1-pyhd8ed1ab_0.conda”h+Œ 9b76545b2d10a87131512e7232b8a210”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/neptune-aws-1.0.1-pyhd8ed1ab_0.conda”h0Œ@9685d13b4540d056a8b4322d60a722b58d6057633d7cafcbf6f242cb56c95d9f”h2NhNh3Œboto3”Œneptune-client >=0.15.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"­F5?hEMÔ6hFˆubh)”}”(hŒneptune-client”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'neptune-client-1.3.1-pyhd8ed1ab_0.conda”h+Œ be924c030b943ed5350ac648e354f2fd”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/neptune-client-1.3.1-pyhd8ed1ab_0.conda”h0Œ@d3d74cfe797c9dd8811f5c4f01e889e2b56fb763f8017ef5c730ab8ddc45df40”h2NhNh3(Œboto3 >=1.16.0”Œbravado >=11.0.0,<12.0.0”Œclick >=7.0”Œfuture >=0.17.1”Œgitpython >=2.0.8”Œjsonschema-with-format”Œoauthlib >=2.1.0”Œ	packaging”Œpandas”Œpillow >=1.1.6”Œpipreqs >=0.4”Œpsutil”Œpyjwt”Œpython >=3.6”Œrequests >=2.20.0”Œrequests-oauthlib >=1.0.0”Œsix >=1.12.0”Œswagger-spec-validator >=2.7.4”Œurllib3”Œwebsocket-client >=0.35.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"Üz±ë…hEJ‚I hFˆubh)”}”(hŒneptune-lightgbm”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)neptune-lightgbm-2.0.0-pyhd8ed1ab_0.conda”h+Œ 8fc83e280eb2d1d3bb7b2f80f4383912”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/neptune-lightgbm-2.0.0-pyhd8ed1ab_0.conda”h0Œ@02958f764048f42e45d88d8246cba59f9c4dbfb3037643eea4b2e323fa4f2811”h2NhNh3(Œlightgbm”Œmatplotlib-base”Œneptune-client >=0.9”Œpython >=3.6”Œpython-graphviz”Œscikit-plot”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ	¢úMÓhEMLChFˆubh)”}”(hŒneptune-optuna”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'neptune-optuna-1.1.0-pyhd8ed1ab_0.conda”h+Œ dc47827938d36ae3013bb24c6eb63cc4”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/neptune-optuna-1.1.0-pyhd8ed1ab_0.conda”h0Œ@ab2928ea00961dac96dbe73b1ce232e7262245d490b9e3640fc99e8ef63d3650”h2NhNh3(Œneptune-client >=0.9.10”Œoptuna >=2.4”Œplotly”Œpoetry-dynamic-versioning”Œpython >=3.7”Œscikit-learn >=0.24.1”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙÈÒ¬IºhEMÊIhFˆubh)”}”(hŒneptune-prophet”h#Œ0.4.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ(neptune-prophet-0.4.1-pyhd8ed1ab_1.conda”h+Œ f47d76d7b3cc85ec685c74ea182de032”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/neptune-prophet-0.4.1-pyhd8ed1ab_1.conda”h0Œ@eea732569cb775f93ae75e05759b1afdce52456ba86db3091deb9a0fe60a3435”h2NhNh3(Œmatplotlib-base <=3.4.3”Œneptune-client >=0.15.0”Œnumpy”Œpandas”Œprophet >=1.0”Œpython >=3.7”Œscipy”Œstatsmodels”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØá‡º7®hEMM>hFˆubh)”}”(hŒneptune-sklearn”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(neptune-sklearn-2.1.0-pyhd8ed1ab_0.conda”h+Œ d7644bdfd00eecd1aab9ad3da1691d56”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/neptune-sklearn-2.1.0-pyhd8ed1ab_0.conda”h0Œ@9e0fb7c1887585dd4c8d33ca281720b30579fc1f45bd3a583a24574b8c4bb9d6”h2NhNh3(Œneptune-client >=0.9”Œpython >=3.6”Œscikit-learn >=0.24.1”Œscikit-plot >=0.3.7”Œyellowbrick >=1.3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙºûxÕhEMÇGhFˆubh)”}”(hŒneptune-tensorflow-keras”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1neptune-tensorflow-keras-2.1.1-pyhd8ed1ab_0.conda”h+Œ 3cc66a789ca53008bb622ec80ea38a41”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/neptune-tensorflow-keras-2.1.1-pyhd8ed1ab_0.conda”h0Œ@8377de836fe0f5bace4f176a29d98b7a803acb3f573954b20c3db9471c298db2”h2NhNh3Œneptune-client >=0.9”Œpython >=3.6”Œtensorflow >=2,<3”‡”h9h?h@Œ
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pip >=19.3”Œpython >=3.6”Œrequests”Œrich”Œtabulate”t”h9h?h@Œ
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validators”t”h6Œopenforcefield =9999999999999”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ"Û,?
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setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ÷±žþ¸RhEJR hFˆubh)”}”(hŒ	pandasdmx”h#Œ1.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pandasdmx-1.10.0-pyhd8ed1ab_0.conda”h+Œ d28bdfd3973eb699cb9facce9fea35c8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pandasdmx-1.10.0-pyhd8ed1ab_0.conda”h0Œ@b5a179306f55e0529f114dbc8768e8a7ce16d1a2c98ee5b726f07b0482c46343”h2NhNh3(Œappdirs >=1.4”Œ
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hd8ed1ab_0”h'K hhh(h)hŒ$pandera-dask-0.15.1-hd8ed1ab_0.conda”h+Œ 295303fe370ffd29f85731a517adae5b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pandera-dask-0.15.1-hd8ed1ab_0.conda”h0Œ@d85e132b18dabf45b6ad560f8debe8016a1264780ef1169e3da3e9e70ddf99a9”h2NhNh3Œdask”Œdistributed”Œ!pandera-base >=0.15.1,<0.15.2.0a0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙNK¥ãhEMhFˆubh)”}”(hŒpandera-fastapi”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ'pandera-fastapi-0.15.1-hd8ed1ab_0.conda”h+Œ fbddb25d737372e278fa9582cdabbc3d”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pandera-fastapi-0.15.1-hd8ed1ab_0.conda”h0Œ@8cf429343e764c160257f67f412317e83d591fb8701ed0e4016c1c42cbcbe75e”h2NhNh3Œfastapi”Œ!pandera-base >=0.15.1,<0.15.2.0a0”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙOY‰7hEMhFˆubh)”}”(hŒpandera-geopandas”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ)pandera-geopandas-0.15.1-hd8ed1ab_0.conda”h+Œ 1e6497194cae0cedc606c77a7a80485c”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pandera-geopandas-0.15.1-hd8ed1ab_0.conda”h0Œ@15887c28bb40e0a835662a24c2f64f9b29a821f374b80a291cd1c25d8da19b43”h2NhNh3Œ	geopandas”Œ!pandera-base >=0.15.1,<0.15.2.0a0”Œshapely”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙPg¾whEM#hFˆubh)”}”(hŒpandera-hypotheses”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ*pandera-hypotheses-0.15.1-hd8ed1ab_0.conda”h+Œ f88631acaef565f0fc09dd44da326526”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pandera-hypotheses-0.15.1-hd8ed1ab_0.conda”h0Œ@27afa4bb5e29f8321b34f83c8a1df388dcda86f74fb346a973893878d6835e32”h2NhNh3Œ!pandera-base >=0.15.1,<0.15.2.0a0”Œscipy”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙQvVhEM;hFˆubh)”}”(hŒ
pandera-io”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ"pandera-io-0.15.1-hd8ed1ab_0.conda”h+Œ 3e3969c4a52aa7d1a11102c0b218447f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pandera-io-0.15.1-hd8ed1ab_0.conda”h0Œ@580de41d801496e285f5e4543ce7aeb0381854c9330cd92fb620fbafc1c79942”h2NhNh3(Œblack”Œclick <7.2.0”Œfrictionless”Œ!pandera-base >=0.15.1,<0.15.2.0a0”Œpyyaml >=5.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙR…¸hEMhFˆubh)”}”(hŒpandera-modin”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ%pandera-modin-0.15.1-hd8ed1ab_0.conda”h+Œ f87359f94ebce9e84d589187ee168a94”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/pandera-modin-0.15.1-hd8ed1ab_0.conda”h0Œ@5cfe6e7098c37a8e669dc4bedc6a96fee2f169623325bd234df902c402c629d3”h2NhNh3Œmodin”Œ!pandera-base >=0.15.1,<0.15.2.0a0”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙS“C–hEM-hFˆubh)”}”(hŒpandera-modin-dask”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ*pandera-modin-dask-0.15.1-hd8ed1ab_0.conda”h+Œ 092c9fabf78294858599dd8b1b24909c”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pandera-modin-dask-0.15.1-hd8ed1ab_0.conda”h0Œ@e50b960e0a07b16b72aa03b5b923b57c488a07e03fed09fd34b39009a306a1b3”h2NhNh3Œ
modin-dask”Œ!pandera-base >=0.15.1,<0.15.2.0a0”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙT£hEM<hFˆubh)”}”(hŒpandera-modin-ray”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ)pandera-modin-ray-0.15.1-hd8ed1ab_0.conda”h+Œ abb1dcfae2a11c7302ebbf4edfbab746”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pandera-modin-ray-0.15.1-hd8ed1ab_0.conda”h0Œ@138f720c61317fcd6994476d3d9490bccfc65a39ba18f9c69f3d387417ff20e6”h2NhNh3Œ	modin-ray”Œ!pandera-base >=0.15.1,<0.15.2.0a0”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙU°ÄœhEM.hFˆubh)”}”(hŒpandera-mypy”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ$pandera-mypy-0.15.1-hd8ed1ab_0.conda”h+Œ a2d2cb3e0cb8e4acc646b759453092ce”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pandera-mypy-0.15.1-hd8ed1ab_0.conda”h0Œ@039830ebf0874ba2778d4b5aa23310fe31015763db35acc7d3eb50991181a332”h2NhNh3Œmypy”Œpandas-stubs”Œ!pandera-base >=0.15.1,<0.15.2.0a0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙV¾¸RhEM"hFˆubh)”}”(hŒpandera-pyspark”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ'pandera-pyspark-0.15.1-hd8ed1ab_0.conda”h+Œ fbbae092d2808fe05549ce0e2adcc937”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pandera-pyspark-0.15.1-hd8ed1ab_0.conda”h0Œ@91dc05c74807be89b8aa6362a31f3a246633616ec9d1081e94ec897041261d31”h2NhNh3Œ!pandera-base >=0.15.1,<0.15.2.0a0”Œpyspark”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙWÍ/hEM/hFˆubh)”}”(hŒpandera-strategies”h#Œ0.15.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ*pandera-strategies-0.15.1-hd8ed1ab_0.conda”h+Œ 4ebcba09fbb3b0576b954c6b0c104c02”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pandera-strategies-0.15.1-hd8ed1ab_0.conda”h0Œ@c7957bcd99d876059701d9877032703f3a04f3d485169305fd6ffdc09968b03e”h2NhNh3Œhypothesis >=5.41.1”Œ!pandera-base >=0.15.1,<0.15.2.0a0”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙXßKÇhEM5hFˆubh)”}”(hŒpanedr”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpanedr-0.7.1-pyhd8ed1ab_0.conda”h+Œ 9d6a27464cabf4d7ad28a95a903284f1”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/panedr-0.7.1-pyhd8ed1ab_0.conda”h0Œ@87e43979ea2900001cb4f74bb5a36b1efd75fdd608ae636e30226c4bd8b11f4e”h2NhNh3(Œpandas”Œpbr”Œpyedr 0.7.1”Œpython >=3.6”t”h9h?h@ŒLGPL-2.1-or-later”hDGAØíÏNE¢hEMÔqhFˆubh)”}”(hŒpanel”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpanel-1.1.0-pyhd8ed1ab_0.conda”h+Œ c52905d6c8d0e92a22d6fb6fa1b4f701”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/panel-1.1.0-pyhd8ed1ab_0.conda”h0Œ@feda02cd05225f36c43957028dfbfc628148324e2e86cd08ea7ee752796b216f”h2NhNh3(Œbleach”Œbokeh >=3.1.1,<3.2”Œlinkify-it-py”Œmarkdown”Œmarkdown-it-py”Œmdit-py-plugins”Œ	packaging”Œparam >=1.12.0,<3”Œpython >=3.8”Œpyviz_comms >=0.7.4”Œrequests”Œtqdm >=4.48.0”Œtyping_extensions”t”h6Œholoviews >=1.16.0”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ¾"œ›¦hEJW3á hFˆubh)”}”(hŒ	pangaeapy”h#Œ1.0.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pangaeapy-1.0.14-pyhd8ed1ab_0.conda”h+Œ 373b9c9c8295a220f0f74aafb952bea8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pangaeapy-1.0.14-pyhd8ed1ab_0.conda”h0Œ@23be4c83bdb462f92f21f4b1a7a3e2af7f372ac1ee672288d38441cadfeaf612”h2NhNh3(Œlxml >=4.9.1”Œnetcdf4 >=1.6.3,<1.7.dev0”Œnumpy >=1.21.0”Œpandas >=1.3.5”Œpython >=3.6”Œrequests >=2.26.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙðXÌ›¦hEJÑ( hFˆubh)”}”(hŒpangeo-dask”h#Œ
2023.06.09”h%Œ
hd8ed1ab_1”h'Khhh(h)hŒ'pangeo-dask-2023.06.09-hd8ed1ab_1.conda”h+Œ 5177b1369447065debd20573b0357933”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.06.09-hd8ed1ab_1.conda”h0Œ@3355afdedb9474ca971ba801a8877bbc0fb5ce64033f07554651f8f9432d4b4c”h2NhNh3Œdask 2023.6.0.*”Œdask-gateway 2023.1.1.*”Œdistributed 2023.6.0.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ ßIÕãThEMhFˆubh)”}”(hŒpangeo-forge-recipes”h#Œ0.9.4”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ-pangeo-forge-recipes-0.9.4-pyh1a96a4e_0.conda”h+Œ 2e4cb0b8414d2023f95124725e7910b4”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/pangeo-forge-recipes-0.9.4-pyh1a96a4e_0.conda”h0Œ@288df92e82d93cfa1109e7e7bf283cab444fff4b6bcbc9eef4a2fbe90f547328”h2NhNh3(Œaiohttp”Œdask”Œdistributed”Œfsspec >=2021.6.0”Œh5netcdf”Œh5py >=3.3.0”Œintake”Œintake-xarray”Œkerchunk >=0.0.7”Œmypy_extensions >=0.4.2”Œnetcdf4”Œnumcodecs >=0.9.0”Œpython >=3.8”Œrechunker >=0.4.2”Œrequests”Œ
setuptools”Œxarray >=0.18.0”Œzarr >=2.6.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØî#J¹G®hEMzâhFˆubh)”}”(hŒpangeo-notebook”h#Œ
2023.06.10”h%Œ
hd8ed1ab_1”h'Khhh(h)hŒ+pangeo-notebook-2023.06.10-hd8ed1ab_1.conda”h+Œ 7a92acbbd286776ed4c9f411274cd27f”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.06.10-hd8ed1ab_1.conda”h0Œ@c98e375d6971cf200ef3ed74f9abb030437b0e68912e7e0963f0955bfb5e674d”h2NhNh3(Œdask-labextension 6.1.0.*”Œipywidgets 8.0.6.*”Œjupyter-server-proxy 4.0.0.*”Œjupyterhub-singleuser 4.0.1.*”Œjupyterlab 4.0.2.*”Œnbgitpuller 1.1.1.*”Œpangeo-dask 2023.06.09.*”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ ò¹È ÅhEM¨hFˆubh)”}”(hŒpanoptes-client”h#Œ1.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(panoptes-client-1.6.0-pyhd8ed1ab_0.conda”h+Œ 26e6d34f0cf5a88589015f7053e7c2ad”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/panoptes-client-1.6.0-pyhd8ed1ab_0.conda”h0Œ@7887e18d4aef45b5d58eac028c60bd15ffdd1b93eb537055cc459d630fce347e”h2NhNh3(Œfuture >=0.16,<0.19”Œpython >=3.7”Œpython-magic >=0.4,<0.5”Œ
redo >=1.7”Œrequests >=2.4.2,<2.29”Œ	six >=1.9”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØâÔ~ß®hEM=•hFˆubh)”}”(hŒpaquo”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpaquo-0.6.1-pyhd8ed1ab_0.conda”h+Œ 03dc7ea863069c7f152a4ee86a3ccd78”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/paquo-0.6.1-pyhd8ed1ab_0.conda”h0Œ@58d27bd63693d5790f7fbfce8cf6153ad43e6f167deeb76515fbc682e8968897”h2NhNh3(Œdynaconf >=3,!=3.1.0”Œjpype1 >=1.0.1”Œ	packaging”Œpython >=3.7”Œshapely”Œtyping-extensions >=4.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙ  +÷ÏhEMáhFˆubh)”}”(hŒparallel-bilby”h#Œ2.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'parallel-bilby-2.0.2-pyhd8ed1ab_0.conda”h+Œ 582228730bdcd31ad3961a7beb8045ae”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/parallel-bilby-2.0.2-pyhd8ed1ab_0.conda”h0Œ@a3cb626b5063fa5268f94e2e7e8a2e255373da89a7b64b1e230945fed25f5f36”h2NhNh3(Œbilby >=1.1.1”Œbilby_pipe >=1.0.3”Œcorner”Œdynesty >=1.0.0”Œfuture”Œgwpy”Œmatplotlib-base”Œmpi4py >3.0.0”Œ	nestcheck”Œnumpy”Œpandas”Œpython >=3.5”Œ
schwimmbad”Œscipy >=1.2.0”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¶U¸ ÅhEMZ~hFˆubh)”}”(hŒparallel-ssh”h#Œ2.12.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&parallel-ssh-2.12.0-pyhd8ed1ab_0.conda”h+Œ 834c2fa6a8e08473b28054ad610fbee4”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/parallel-ssh-2.12.0-pyhd8ed1ab_0.conda”h0Œ@4f6976d5037f8a07d8e2b2dc04c8bb193f9f7813180f7b70e9867898b01c033f”h2NhNh3(Œgevent >=1.3.0”Œpython >=3.6”Œ
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hEM(GhFˆubh)”}”(hŒparam”h#Œ1.13.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒparam-1.13.0-pyh1a96a4e_0.conda”h+Œ 158eda83fd21a14b8c483c0d1d102397”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/param-1.13.0-pyh1a96a4e_0.conda”h0Œ@924dee0430ef46af7b28841d49b503de6a8969af1c7b06897a4cff26d429f20e”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ> hEJP8 hFˆubh)”}”(hŒparameterized”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&parameterized-0.9.0-pyhd8ed1ab_0.conda”h+Œ 3076b5d17ee57e6e4e69a8667dbb8c95”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/parameterized-0.9.0-pyhd8ed1ab_0.conda”h0Œ@315ff5c4bd6fa362f102e267abc543d774e88edccb0bafac1253ecd2c86c8d04”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙBø¬Ý/hEMr_hFˆubh)”}”(hŒparamiko”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!paramiko-3.2.0-pyhd8ed1ab_0.conda”h+Œ f212c7eb95e909df4795297f73690993”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/paramiko-3.2.0-pyhd8ed1ab_0.conda”h0Œ@e425a03e5e2ef2ec5a78711686c59cfceeeeec3a98165fbc7d186bd6a5cb78de”h2NhNh3(Œbcrypt >=3.2”Œcryptography >=3.3”Œpynacl >=1.5”Œpython >=3.6”t”h9h?h@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ’bNhEJèi hFˆubh)”}”(hŒparmoo”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒparmoo-0.2.2-pyhd8ed1ab_0.conda”h+Œ 8bf4dc117bc40eb2035aaf37d380f928”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/parmoo-0.2.2-pyhd8ed1ab_0.conda”h0Œ@168ceae8944a052cbba1f921655a9f2c35d9b833514eeac847e15db98ff3a8e7”h2NhNh3(Œdash”Œlibensemble”Œnumpy”Œpandas”Œplotly”Œpydoe”Œpython >=3.6”Œpython-kaleido”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ°ShEJ—h hFˆubh)”}”(hŒparquet-tools”h#Œ0.2.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'parquet-tools-0.2.14-pyhd8ed1ab_0.conda”h+Œ 0189c11f283e3d568e8bb423597ad39f”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/parquet-tools-0.2.14-pyhd8ed1ab_0.conda”h0Œ@7713bfd5c694317848436fd8a4d4f30419d322eff96ce76724ee3da913da0c51”h2NhNh3(Œboto3 >=1.13,<2”Œcolorama >=0.4.3,<1”Œhalo >=0.0.29,<1”Œpandas >=1,<3”Œpyarrow”Œpython >=3.8,<4.0”Œtabulate >=0.8.7,<1”Œthrift >=0.13.0,<1”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¤ÑX  hEM@zhFˆubh)”}”(hŒparsel”h#Œ1.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒparsel-1.8.1-pyhd8ed1ab_0.conda”h+Œ dcf4e6ec231c3a07b8a55d4130ff7a26”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/parsel-1.8.1-pyhd8ed1ab_0.conda”h0Œ@b109fc93ca898711e820a303d0f2411ac2132e7c1c1890a18981b188de04edbd”h2NhNh3(Œcssselect >=0.9”Œjmespath”Œlxml”Œ	packaging”Œpython >=3.7”Œw3lib >=1.19.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ®m¼ÌÍhEMãRhFˆubh)”}”(hŒparsita”h#Œ1.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ parsita-1.7.2-pyhd8ed1ab_0.conda”h+Œ addb516e07a0d93d336fe74919728a16”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/parsita-1.7.2-pyhd8ed1ab_0.conda”h0Œ@abb8ed056f1daff06fcc55683dada29ddaae26a86f608330cf767558feac5285”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ	†éyhEMãQhFˆubh)”}”(hŒparsl”h#Œ	2023.3.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"parsl-2023.3.13-pyhd8ed1ab_0.conda”h+Œ bc89fe2f5c627df405c6e3207813dab6”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/parsl-2023.3.13-pyhd8ed1ab_0.conda”h0Œ@cbd23381eb5b68807aba07638a1631f1d0b57379174d96f4568a916a7d1a0675”h2NhNh3(Œdill”Œ
globus-sdk”Œparamiko”Œpsutil >=5.5.1”Œpython >=3.7”Œpyzmq >=17.1.2”Œrequests”Œsetproctitle”Œsix”Œtblib”Œtypeguard >=2.10”Œtypes-paramiko”Œtypes-requests”Œ	types-six”Œtyping-extensions”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙÿ\)hEJ hFˆubh)”}”(hŒparsl”h#Œ	2023.3.27”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"parsl-2023.3.27-pyhd8ed1ab_0.conda”h+Œ a1d9d4475c2647908aca9841f4d5f3f2”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/parsl-2023.3.27-pyhd8ed1ab_0.conda”h0Œ@f3dcecd3b943915af80fc3c690d1a305efc4972bc610fe9448b570127246115e”h2NhNh3(Œdill”Œ
globus-sdk”Œparamiko”Œpsutil >=5.5.1”Œpython >=3.7”Œpyzmq >=17.1.2”Œrequests”Œsetproctitle”Œsix”Œtblib”Œtypeguard >=2.10,<3”Œtypes-paramiko”Œtypes-requests”Œ	types-six”Œtyping-extensions”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ¢!l‹DhEJÝ hFˆubh)”}”(hŒparsl”h#Œ	2023.6.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"parsl-2023.6.12-pyhd8ed1ab_0.conda”h+Œ 5baf52a8e55461fe7441977c5e5495be”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/parsl-2023.6.12-pyhd8ed1ab_0.conda”h0Œ@c06bdf69a7e34707acf4b7aa4137d0f30b75f2d31bd0b0319580ed35692137ba”h2NhNh3(Œdill”Œ
globus-sdk”Œparamiko”Œpsutil >=5.5.1”Œpython >=3.7”Œpyzmq >=17.1.2”Œrequests”Œsetproctitle”Œsix”Œtblib”Œtypeguard >=2.10,<3”Œtypes-paramiko”Œtypes-requests”Œ	types-six”Œtyping-extensions”t”h9h?h@Œ
Apache-2.0”hDGAÙ!þ——ÎÙhEJþ+ hFˆubh)”}”(hŒparsl-with-aws”h#Œ	2023.6.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+parsl-with-aws-2023.6.12-pyhd8ed1ab_0.conda”h+Œ 5d50ad2ea5f82e72cf3abf0e982bdb16”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/parsl-with-aws-2023.6.12-pyhd8ed1ab_0.conda”h0Œ@acaeee434be6446bee9b2757b77c296fbb255b893be2f8233cf99cc77331d525”h2NhNh3Œboto3”Œ parsl >=2023.6.12,<2023.6.13.0a0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hDGAÙ!þš÷ÎÙhEM)hFˆubh)”}”(hŒparsl-with-extreme_scale”h#Œ	2023.3.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5parsl-with-extreme_scale-2023.3.13-pyhd8ed1ab_0.conda”•      h+Œ 1e279fd6dc870786ecd7b8455e16eb49”h-Nh.Œchttps://conda.anaconda.org/conda-forge/noarch/parsl-with-extreme_scale-2023.3.13-pyhd8ed1ab_0.conda”h0Œ@36a82c6981f2e9bc04f121efca9663374b28e4c9ba02d2590da304774244c93c”h2NhNh3Œmpi4py”Œ parsl >=2023.3.13,<2023.3.14.0a0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ{33hEM|(hFˆubh)”}”(hŒparsl-with-flux”h#Œ	2023.6.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,parsl-with-flux-2023.6.12-pyhd8ed1ab_0.conda”h+Œ 9456c79660cd450d6232318b0a448947”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/parsl-with-flux-2023.6.12-pyhd8ed1ab_0.conda”h0Œ@372ab473f00e14e40280dbdf896e966cde276ef070886d6bc1ce9a438722f0c2”h2NhNh3(Œcffi”Œ
jsonschema”Œ parsl >=2023.6.12,<2023.6.13.0a0”Œpython >=3.7”Œpyyaml”t”h9h?h@Œ
Apache-2.0”hDGAÙ!þž‰7hEM)hFˆubh)”}”(hŒparsl-with-google_cloud”h#Œ	2023.6.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4parsl-with-google_cloud-2023.6.12-pyhd8ed1ab_0.conda”h+Œ 6039af81c19bfd16bd4fe5f1bda0e355”h-Nh.Œbhttps://conda.anaconda.org/conda-forge/noarch/parsl-with-google_cloud-2023.6.12-pyhd8ed1ab_0.conda”h0Œ@46491695968bb5d1665f6f364d6bfc4b5d87392299ca292c368479e4e472919a”h2NhNh3(Œgoogle-api-python-client”Œgoogle-auth”Œ parsl >=2023.6.12,<2023.6.13.0a0”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hDGAÙ!þ¡xƒhEM;)hFˆubh)”}”(hŒparsl-with-gssapi”h#Œ	2023.6.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.parsl-with-gssapi-2023.6.12-pyhd8ed1ab_0.conda”h+Œ f4f81b2c07febec0a7dc691ff8d6750b”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/parsl-with-gssapi-2023.6.12-pyhd8ed1ab_0.conda”h0Œ@3475ca4f811163fd6e614ad7a261ac19e60871f437c2a01907835de58b91c2ea”h2NhNh3Œ parsl >=2023.6.12,<2023.6.13.0a0”Œpython >=3.7”Œpython-gssapi”‡”h9h?h@Œ
Apache-2.0”hDGAÙ!þ¤ŽùÛhEM)hFˆubh)”}”(hŒparsl-with-kubernetes”h#Œ	2023.6.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2parsl-with-kubernetes-2023.6.12-pyhd8ed1ab_0.conda”h+Œ 58f90fd58a5abcb754ebb9d2f5ff945b”h-Nh.Œ`https://conda.anaconda.org/conda-forge/noarch/parsl-with-kubernetes-2023.6.12-pyhd8ed1ab_0.conda”h0Œ@3d9cd437a61904acf55bbdb66a7b97bb1faf30070bb3c1b643b190200bdb25f2”h2NhNh3Œ
kubernetes”Œ parsl >=2023.6.12,<2023.6.13.0a0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hDGAÙ!þ§° ÅhEM2)hFˆubh)”}”(hŒparsl-with-monitoring”h#Œ	2023.6.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2parsl-with-monitoring-2023.6.12-pyhd8ed1ab_0.conda”h+Œ b4ee3b64d61482ce92efb1f0c3878f32”h-Nh.Œ`https://conda.anaconda.org/conda-forge/noarch/parsl-with-monitoring-2023.6.12-pyhd8ed1ab_0.conda”h0Œ@7ec223a467bd8f8f6d706d67449784db0c01ca646fea1eef861faf5d2b1d8106”h2NhNh3(Œflask >=1.0.2”Œflask-sqlalchemy”Œnetworkx >=2.5,<2.6”Œ	pandas <2”Œ parsl >=2023.6.12,<2023.6.13.0a0”Œplotly”Œpydot”Œpython >=3.7”Œpython-daemon !=3.0.1”Œsqlalchemy >=1.3.0,<2”t”h9h?h@Œ
Apache-2.0”hDGAÙ!þªÖ{hEM‰)hFˆubh)”}”(hŒparsl-with-workqueue”h#Œ	2023.6.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1parsl-with-workqueue-2023.6.12-pyhd8ed1ab_0.conda”h+Œ 5a2f61b9a8029d48af35e9e0e3105074”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/parsl-with-workqueue-2023.6.12-pyhd8ed1ab_0.conda”h0Œ@4d68e41b8f2d7b8866db1722a5ecd747a5628deec2b0562982d56d80907f68dc”h2NhNh3Œ	ndcctools”Œ parsl >=2023.6.12,<2023.6.13.0a0”Œpython >=3.7”‡”h9h?h@Œ
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setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÆ£µVhEJ_Y hFˆubh)”}”(hŒpdbfixer”h#Œ1.9”h%Œpyh1a96a4e_0”h'K hhh(h)hŒpdbfixer-1.9-pyh1a96a4e_0.conda”h+Œ 20be3519aa2058a7088bf1474390638f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pdbfixer-1.9-pyh1a96a4e_0.conda”h0Œ@053b4e535b178345c5666d04819c63004855eb38c5b49ae7c847e47a465b28c4”h2NhNh3(Œnumpy”Œopenmm >=8.0”Œpython >=3.6”Œ
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Apache-2.0”hBŒApache”hDGAÙúW¹&éhEM\hFˆubh)”}”(hŒ	pdf2image”h#Œ1.16.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pdf2image-1.16.3-pyhd8ed1ab_0.conda”h+Œ 51fe9586e281408b5eb6f22f81e87ef1”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pdf2image-1.16.3-pyhd8ed1ab_0.conda”h0Œ@dc5da6e5f81829e26e051d09b799ad042c955051f344d8ef12a89c5656e7dca9”h2NhNh3Œpillow”Œ
python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙºÌƒ÷ÏhEMAhFˆubh)”}”(hŒ
pdfcrop.pl”h#Œ1.42”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ&pdfcrop.pl-1.42-pl5321hd8ed1ab_0.conda”h+Œ 66f933a63c9299b03c371f93cbfbb403”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/pdfcrop.pl-1.42-pl5321hd8ed1ab_0.conda”h0Œ@cb8b10a0ff2b9536538fad73b6b32e1c425a186f82549d986d7bb72da46e5e8e”h2NhNh3Œghostscript”Œperl >=5.32.1,<6.0a0 *_perl5”†”h9hºh@Œ	LPPL-1.3c”hBŒOTHER”hDGAÙÇq”“hEMzWhFˆubh)”}”(hŒ
pdfplumber”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pdfplumber-0.9.0-pyhd8ed1ab_0.conda”h+Œ 1cd70c29497fbdaaf82a4efeb5eb8113”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pdfplumber-0.9.0-pyhd8ed1ab_0.conda”h0Œ@e8c48742b8cbc73c850560a0d54dbbe5e64568e105877465e51e7d9088a3e123”h2NhNh3(Œpdfminer.six 20221105”Œpillow >=9.1”Œpython >=3.6.*”Œwand >=0.6.10”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ1 QìhEM¨¬hFˆubh)”}”(hŒ	pdfstream”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pdfstream-0.6.2-pyhd8ed1ab_0.conda”h+Œ 3e96e1cfcebfd71bac968e97b0681d74”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pdfstream-0.6.2-pyhd8ed1ab_0.conda”h0Œ@91aeb2531acc7d261c0a0b26542ccaa67964004357dcf04418c926e0708a3ca1”h2NhNh3(Œbluesky”Œ
databroker”Œfire”Œ
frozendict”Œnumba”Œpyfai”Œpyopencl”Œpython >=3.8”Œscikit-beam”Œxpdview”Œxray-vision”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØæ;t‹DhEMÑhFˆubh)”}”(hŒ	pdfsyntax”h#Œ0.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pdfsyntax-0.0.6-pyhd8ed1ab_0.conda”h+Œ 6dd4bfa8b4eac35756adf44b1ef4ed09”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pdfsyntax-0.0.6-pyhd8ed1ab_0.conda”h0Œ@adc8da707a5e1401c60bd1f07ae144460bb3fa491573038df85cdd759467171d”h2NhNh3Œpython >=3.8”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¤‚·ÎÙhEM×shFˆubh)”}”(hŒ
pdm-pep517”h#Œ1.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pdm-pep517-1.1.4-pyhd8ed1ab_0.conda”h+Œ e0d7e8d655547def10aaef3a6fc7602b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pdm-pep517-1.1.4-pyhd8ed1ab_0.conda”h0Œ@1094829e8555ed783d788426b322590b76ddff5c72e7c876c23e96ce2cf6daec”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ‰E?}hEJÃ“ hFˆubh)”}”(hŒpdoc”h#Œ13.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpdoc-13.1.1-pyhd8ed1ab_0.conda”h+Œ 34f126d48bd894b9a467aef399a22121”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pdoc-13.1.1-pyhd8ed1ab_0.conda”h0Œ@696570a954f0e393c5c94a5480bf8b37a8cc28b953a0748dc0b67ed21f63b399”h2NhNh3(Œ
astunparse”Œjinja2 >=2.11.0”Œ
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python >=3”…”h9h?h@ŒGPLv3”hBŒGPL”hDGAÙ¬Õó¶hEJ}" hFˆubh)”}”(hŒpygeoapi”h#Œ0.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pygeoapi-0.15.0-pyhd8ed1ab_0.conda”h+Œ 06f1f08898d5569731653335372c701c”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pygeoapi-0.15.0-pyhd8ed1ab_0.conda”h0Œ@18ef44fdf2dc5a00b56f6f94ef78971b79e7cc9c9abcf467799b9b4de1bcd1f9”h2NhNh3(Œbabel”Œclick”Œflask”Œfuture-annotations”Œimportlib-metadata”Œjinja2”Œ
jsonschema”Œpydantic”Œpygeofilter”Œpygeoif”Œpyproj”Œpython >=3.6”Œpython-dateutil”Œpytz”Œpyyaml”Œrasterio”Œrequests”Œshapely <2.0”Œsqlalchemy <2.0.0”Œtinydb”Œ
unicodecsv”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¨
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pygeogrids”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pygeogrids-0.4.2-pyhd8ed1ab_0.conda”h+Œ f8a8181c67687d927f94bb92401b7c39”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pygeogrids-0.4.2-pyhd8ed1ab_0.conda”h0Œ@a0019aa6c20a14e82211b1a9f65898dbae143eead1d9ba60f2bc8f70cd8b14d7”h2NhNh3(Œnetcdf4”Œnumpy”Œpykdtree”Œpyproj”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØõF¸  hEMEdhFˆubh)”}”(hŒ
pygeohydro”h#Œ0.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pygeohydro-0.15.0-pyhd8ed1ab_0.conda”h+Œ a51e53ebcc0d7874adeef9573388ca23”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pygeohydro-0.15.0-pyhd8ed1ab_0.conda”h0Œ@010c31668e226cdbfc63fde35e5adcb06058ddf59806c18a62653b58a6d64ea5”h2NhNh3(Œasync-retriever 0.15.*”Œcytoolz”Œ	dask-core”Œ
defusedxml”Œfolium”Œgeopandas >=0.10”Œh5netcdf”Œhydrosignatures 0.15.*”Œlxml”Œmatplotlib-base >=3.5”Œnumpy >=1.21”Œpandas >=1.0”Œpygeoogc 0.15.*”Œpygeoutils 0.15.*”Œpynhd 0.15.*”Œpyproj >=2.2”Œpython >=3.8”Œrasterio >=1.2”Œrioxarray >=0.11”Œscipy”Œshapely >=1.8.5”Œujson”Œxarray >=2022.03.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙXå`hEMz®hFˆubh)”}”(hŒ	pygeometa”h#Œ0.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pygeometa-0.15.0-pyhd8ed1ab_0.conda”h+Œ 1b481e1d9d7fba5e1612be50d144b5c7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pygeometa-0.15.0-pyhd8ed1ab_0.conda”h0Œ@79761e37d92c60c60dfc12d52a3a1ad128ba3efbac3d05cd1eea4786a35d1f0d”h2NhNh3(Œclick”Œjinja2”Œ
jsonschema”Œlxml”Œowslib”Œpython >=3.6”Œpyyaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÙ†HbhEMÏ¦hFˆubh)”}”(hŒpygeoogc”h#Œ0.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pygeoogc-0.15.0-pyhd8ed1ab_0.conda”h+Œ 9587270cb86f2c62798d11507b631f5a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pygeoogc-0.15.0-pyhd8ed1ab_0.conda”h0Œ@03a223c37583ca50c3edb148fad48c122b27bb0789994238ca05db8e4482705a”h2NhNh3(Œasync-retriever 0.15.*”Œcytoolz”Œ
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shapely >1”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ|°`ÄœhEM—7hFˆubh)”}”(hŒ
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ha770c72_2”h'Khhh(h)hŒ#python-gmsh-4.11.1-ha770c72_2.conda”h+Œ f1c246a48934190eec86dbc795027a46”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/python-gmsh-4.11.1-ha770c72_2.conda”h0Œ@f50ae7cf48efce6717ba8b293164665379b34d6c19311c154f6c8a286f1a0279”h2NhNh3Œgmsh >=4.11.1,<4.11.2.0a0”Œnumpy”Œpython”‡”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ0ì‹DhEMDõhFˆubh)”}”(hŒpython-graphblas”h#Œ2023.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,python-graphblas-2023.5.0-pyhd8ed1ab_0.conda”h+Œ b8816a0f8ca1bc2663a7ccce5b8c0f87”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/python-graphblas-2023.5.0-pyhd8ed1ab_0.conda”h0Œ@ae5d011b7b3595ae3d9d6723f5c7f5699bc9b5453aa84c14ad63e58d0288172c”h2NhNh3(Œdonfig >=0.6”Œnumba >=0.55”Œnumpy >=1.21”Œpython >=3.8”Œ+python-suitesparse-graphblas >=7.4.0.0,<7.5”Œpyyaml >=5.4”t”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØð	½Æ—hEM¼rhFˆubh)”}”(hŒquantumflow”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$quantumflow-1.3.0-pyhd8ed1ab_0.conda”h+Œ 413dba64c5bf8307e1bfaa6be205002a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/quantumflow-1.3.0-pyhd8ed1ab_0.conda”h0Œ@be3f0ecf2cae082ee81ef734d41f8b18dd2a21e27f31eebb387faa523a9f42f4”h2NhNh3(Œdecorator <5.0.0”Œimportlib-metadata”Œmatplotlib-base”Œnetworkx”Œnumpy”Œ
opt-einsum”Œpillow !=9.1.0”Œpython >=3.9”Œscipy <1.10.0”Œsympy >=1.6”Œtyping_extensions >=4.1.1”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙl3Ì1hEJ¶² hFˆubh)”}”(hŒquaternionic”h#Œ1.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%quaternionic-1.0.6-pyhd8ed1ab_0.conda”h+Œ ab709a01d845eee370d3680ded48ae76”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/quaternionic-1.0.6-pyhd8ed1ab_0.conda”h0Œ@e78cb0144cca0078889084bddab2acc9f920123d4fdcc83d589e435fcf308230”h2NhNh3(Œnumba”Œnumpy”Œpython >=3.8”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØø³÷ÕÂhEM¤†hFˆubh)”}”(hŒquera-ahs-utils”h#Œ0.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(quera-ahs-utils-0.4.3-pyhd8ed1ab_0.conda”h+Œ 7ad690d91ab6ce79dc364cb776bda049”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/quera-ahs-utils-0.4.3-pyhd8ed1ab_0.conda”h0Œ@118abaffd14c941f0cc9882053645ba99c3e036978ea98eba5132920f0eaf077”h2NhNh3(Œamazon-braket-schemas”Œamazon-braket-sdk”Œmatplotlib-base”Œnetworkx”Œnumpy”Œpydantic”Œpython >=3.10”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ!#’`“uhEMŽfhFˆubh)”}”(hŒ	questplus”h#Œ2023.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#questplus-2023.1-pyhd8ed1ab_0.conda”h+Œ 06d84fca2995089fb3da2c0545794197”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/questplus-2023.1-pyhd8ed1ab_0.conda”h0Œ@7cb33f14d873c7272d0f24aac73c89cf55227ec3594ca66be2e5ee445b587c8b”h2NhNh3(Œjson_tricks”Œnumpy”Œpython >=3.8”Œscipy”Œxarray”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAÙ›ÏÀÄœhEMiƒhFˆubh)”}”(hŒquetz”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒquetz-0.9.0-pyhd8ed1ab_0.conda”h+Œ fe915f5bd501e91a344cb3fa43b4a11d”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/quetz-0.9.0-pyhd8ed1ab_0.conda”h0Œ@f247df8303ee04f259d77cc42d9f906823c407513d345a361b2e0b3fbfec96a9”h2NhNh3(Œaiofiles”Œ	aioshutil”Œalembic”Œappdirs”Œauthlib <1.0.0”Œfastapi”Œfsspec”Œh2”Œhttpx >=0.22.0”Œimportlib-metadata”Œitsdangerous”Œjinja2”Œpluggy”Œprometheus_client”Œpython >=3.7”Œpython-multipart”Œpyyaml”Œrequests”Œ
sqlalchemy”Œsqlalchemy-utils”Œtenacity”Œtoml”Œtyper”Œtyping_extensions”Œujson”Œuvicorn”Œ	zstandard”t”h6Œadlfs >=2021.10.0”Œs3fs >=2021.10.1”Œgcsfs >=2022.3.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙˆJ×²hEJÚ~ hFˆubh)”}”(hŒquetz-client”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%quetz-client-0.5.0-pyhd8ed1ab_0.conda”h+Œ 58c07f2635d389e9a43d0609f1d36f59”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/quetz-client-0.5.0-pyhd8ed1ab_0.conda”h0Œ@7975578a8c6c7958df38c020b12f190feb81ad1f7fd5d47fa90853e473cc1d7c”h2NhNh3(Œdacite”Œfire”Œpython >=3.8”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ˜Ä9XhEM­,hFˆubh)”}”(hŒquetz-frontend”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'quetz-frontend-0.4.0-pyhd8ed1ab_0.conda”h+Œ f07df33d3cbe1e396731c89126bb718d”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/quetz-frontend-0.4.0-pyhd8ed1ab_0.conda”h0Œ@330da4c1f1127b9e146ed5d5c5152aa3bc3f062c7e4cb861e0a688a6678f048b”h2NhNh3Œpython >=3.7”Œquetz >=0.4.0”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÿò!Á7LhEJ“5 hFˆubh)”}”(hŒquetz-sql-authenticator”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0quetz-sql-authenticator-0.0.5-pyhd8ed1ab_0.conda”h+Œ 7bfcea626cfc3ec828a08d8bb0919f26”h-Nh.Œ^https://conda.anaconda.org/conda-forge/noarch/quetz-sql-authenticator-0.0.5-pyhd8ed1ab_0.conda”h0Œ@a95769ae1dfb2ec545b10f59bdf43d1f4219713df4c842e081e6bfed6acb9ca2”h2NhNh3(Œalembic”Œfastapi”Œpasslib”Œpython >=3.8”Œquetz >=0.6.1”Œ
sqlalchemy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØûþÏ&§ðhEMà+hFˆubh)”}”(hŒquilt3”h#Œ5.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒquilt3-5.3.1-pyhd8ed1ab_0.conda”h+Œ 2b3aa7b8f7cd83fc082f9205e7f2f978”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/quilt3-5.3.1-pyhd8ed1ab_0.conda”h0Œ@652f4bbbf403cd19c6f0de552f90d4456175c02c0feb34fa52451638ee8a56eb”h2NhNh3(Œaws-requests-auth >=0.4.2”Œboto3 >=1.10.0”Œjsonlines 1.2.0.*”Œjsonschema >=3,<5”Œplatformdirs >=2”Œpython >=3.6”Œpyyaml >=5.1”Œrequests >=2.12.4”Œrequests-futures 1.0.0”Œtenacity >=5.1.1”Œtqdm >=4.32”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙF$Æ§ðhEJ· hFˆubh)”}”(hŒquimb”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒquimb-1.5.0-pyhd8ed1ab_0.conda”h+Œ 1bd15f677dca92d9665fa07d8abfb500”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/quimb-1.5.0-pyhd8ed1ab_0.conda”h0Œ@1d21c18bf61f5fbb7dad7857aa1d80e90267958016530df321026a11576ca63b”h2NhNh3(Œautoray”Œcytoolz >=0.8.0”Œnumba >=0.39”Œnumpy >=1.17”Œopt_einsum >=3.2”Œpsutil >=4.3.1”Œpython >=3.6”Œscipy >=1.0.0”Œtqdm >=4”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙÏ"±Û#hEJl1 hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ$r-abind-1.4_5-r42hc72bb7e_1005.conda”h+Œ f2744985b083b1bbffd4df19437cf1e8”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r42hc72bb7e_1005.conda”h0Œ@3fd9462739176051796b0fa1c91db3f7572718ab962013c988b4a2f1f6921fd9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGAÙ"s¥½VhEJô1 hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ$r-abind-1.4_5-r43hc72bb7e_1005.conda”h+Œ dd7719a32c342948c6fbafb13bd2ee03”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r43hc72bb7e_1005.conda”h0Œ@9104b7d4bd46934f01f502242a33664f093fa355ac640cee6dbcd5a81e91b15b”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGAÙ"sF¸RhEJ¼1 hFˆubh)”}”(hŒr-adabag”h#Œ4.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-adabag-4.3-r41hc72bb7e_0.conda”h+Œ 51fe641d27fe1206136714e1973c0d59”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-adabag-4.3-r41hc72bb7e_0.conda”h0Œ@ef8913fa27e83a6ff3d5305f2a1d9630045bbfb7426f8c53fa8237a01a70a710”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-caret”Œr-doparallel”Œ	r-foreach”Œr-rpart”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙIÇ+hEJN hFˆubh)”}”(hŒr-adabag”h#Œ4.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-adabag-4.3-r42hc72bb7e_0.conda”h+Œ 5f357f808a24bd530bceda606b2b6544”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-adabag-4.3-r42hc72bb7e_0.conda”h0Œ@c22e3608370bd156d1ec981f524ddbe99a389231180e0b8822427915c7ed9709”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-caret”Œr-doparallel”Œ	r-foreach”Œr-rpart”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙLD“hEJÀ	 hFˆubh)”}”(hŒr-additivitytests”h#Œ1.1_4.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ-r-additivitytests-1.1_4.1-r43hc72bb7e_2.conda”h+Œ b727a2c36b9039414c9ee6248dd1b21c”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-additivitytests-1.1_4.1-r43hc72bb7e_2.conda”h0Œ@f94c746df291f5b273c9b5c42dbc97cf4cbf792394ccf8a256c0f757658d9ae7”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#Î ÔþhEJÖ hFˆubh)”}”(hŒr-adegraphics”h#Œ1.0_18”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-adegraphics-1.0_18-r41hc72bb7e_0.conda”h+Œ 0db945ffe1a86df5496369d8b95f36f4”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-adegraphics-1.0_18-r41hc72bb7e_0.conda”h0Œ@62d63e10032a8142c30520fe34a709e61bbdd1f3c0008e6a0efb3a677fa4f013”h2NhNh3(Œr-ade4 >=1.7_13”Œr-base >=4.1,<4.2.0a0”Œr-kernsmooth”Œ	r-lattice”Œr-latticeextra”Œr-rcolorbrewer”Œr-sp >=1.1_1”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ ^£`BhEJ=à3 hFˆubh)”}”(hŒr-adegraphics”h#Œ1.0_18”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-adegraphics-1.0_18-r42hc72bb7e_0.conda”h+Œ 8756ee35eaeeb43d2cdc0c26eaedb8c0”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-adegraphics-1.0_18-r42hc72bb7e_0.conda”h0Œ@41ffad86ad7ed6cdc2b32c7ece09525e4e83ad52a0ec1fbae15d75d3d4079f59”h2NhNh3(Œr-ade4 >=1.7_13”Œr-base >=4.2,<4.3.0a0”Œr-kernsmooth”Œ	r-lattice”Œr-latticeextra”Œr-rcolorbrewer”Œr-sp >=1.1_1”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ ^¢ÉXhEJ‡Ñ3 hFˆubh)”}”(hŒr-adgoftest”h#Œ0.3”h%Œr42ha770c72_1005”h'Míhhh(h)hŒ&r-adgoftest-0.3-r42ha770c72_1005.conda”h+Œ 6281bf722859cdfacfe0ad8b92b206af”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-adgoftest-0.3-r42ha770c72_1005.conda”h0Œ@70012f7cf4d221f2537c461fb178e9040012ed61897d37e22ec834cdaa98de14”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAÙ"÷¼HQìhEM!ƒhFˆubh)”}”(hŒr-adgoftest”h#Œ0.3”h%Œr43ha770c72_1005”h'Míhhh(h)hŒ&r-adgoftest-0.3-r43ha770c72_1005.conda”h+Œ 6738e5e421489df40acf1c992c575f62”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-adgoftest-0.3-r43ha770c72_1005.conda”h0Œ@2c7d13dee7243f1bfd7287d0845e5ca9a6453219947f2519a123842375304723”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAÙ"÷Æ«hEM-‚hFˆubh)”}”(hŒr-admisc”h#Œ0.32”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-admisc-0.32-r41hc72bb7e_0.conda”h+Œ 2397dbdedc09666041ad59db757a3bc8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-admisc-0.32-r41hc72bb7e_0.conda”h0Œ@a51677a31a5c63246c7e6178e25f11ce584476f1966e5a2ee94c3d7a92e37c7c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ»¨æ¸RhEJrš hFˆubh)”}”(hŒr-admisc”h#Œ0.32”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-admisc-0.32-r42hc72bb7e_0.conda”h+Œ 6055fcf32ad46ed57505671176e37544”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-admisc-0.32-r42hc72bb7e_0.conda”h0Œ@867549b45ab901c46d52f1b14a401409b3838166929b11e2a2382891d6502ff9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ»º*\hEJ¸˜ hFˆubh)”}”(hŒr-admisc”h#Œ0.32”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-admisc-0.32-r42hc72bb7e_1.conda”h+Œ f87214f72ef00d9e86a01e05ddf2c39d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-admisc-0.32-r42hc72bb7e_1.conda”h0Œ@a3eb0d3f7c29054c3dec4d122619fc93a2586215f9fd61e2faf9e7a29f66b4dc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#»‚-hEJC– hFˆubh)”}”(hŒr-admisc”h#Œ0.32”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-admisc-0.32-r43hc72bb7e_1.conda”h+Œ 8088278db688a5875b29d7ec784de08d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-admisc-0.32-r43hc72bb7e_1.conda”h0Œ@091ddb9e2237546a535c9be0c3c0c71f791e693a0c086583e158f3e21c6d7921”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#ºRÐåhEJ– hFˆubh)”}”(hŒr-afex”h#Œ1.3_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-afex-1.3_0-r41hc72bb7e_0.conda”h+Œ a86eab6b3b6753d3febc461cafc990ef”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-afex-1.3_0-r41hc72bb7e_0.conda”h0Œ@062ac04f4c74c93556ac8e80e976e293b4b11035123d20ca5171a21f4781e60b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œr-lme4 >=1.1_8”Œr-lmertest >=3.0_0”Œr-pbkrtest >=0.4_1”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙyÐÒ^5hEJ]O, hFˆubh)”}”(hŒr-afex”h#Œ1.3_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-afex-1.3_0-r42hc72bb7e_0.conda”h+Œ 2fdd82db7a40caf33e83026e0107fd42”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-afex-1.3_0-r42hc72bb7e_0.conda”h0Œ@ea19d3a27e34d539112201558355d0feb04706e1e83b41a67d957866fc32a610”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œr-lme4 >=1.1_8”Œr-lmertest >=3.0_0”Œr-pbkrtest >=0.4_1”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙy¿ñ7LhEJ“P, hFˆubh)”}”(hŒr-aiccmodavg”h#Œ2.3_2”h%Œr41h49ad114_0”h'K hhh(h)hŒ&r-aiccmodavg-2.3_2-r41h49ad114_0.conda”h+Œ 83054b08ef17a46ed2481474b305cfbd”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-aiccmodavg-2.3_2-r41h49ad114_0.conda”h0Œ@8426c01afd7be0c769dc7afb3820c507683115a1fdc20ddd29658c648ff5dffc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-mass”Œr-matrix”Œr-nlme”Œ
r-survival”Œ
r-unmarked”Œr-vgam”Œr-xtable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙQŽpA‰hEJªJ, hFˆubh)”}”(hŒr-aiccmodavg”h#Œ2.3_2”h%Œr42h49ad114_0”h'K hhh(h)hŒ&r-aiccmodavg-2.3_2-r42h49ad114_0.conda”h+Œ 6e0fba3624c71c3c93750b98612870b7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-aiccmodavg-2.3_2-r42h49ad114_0.conda”h0Œ@0e10c2f57e9d9947ecd6abcd573cf4a573891f97c3f9e89acb9f5b0322efd14e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-mass”Œr-matrix”Œr-nlme”Œ
r-survival”Œ
r-unmarked”Œr-vgam”Œr-xtable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙQ?}hEJro, hFˆubh)”}”(hŒr-alphavantager”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-alphavantager-0.1.3-r41hc72bb7e_0.conda”h+Œ b286fbc8e4e21aa5efbe73868dad6501”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-alphavantager-0.1.3-r41hc72bb7e_0.conda”h0Œ@aa3c445acaabc78883cfe9868ee1846cbaf81aa82ce3f0e9ab7c217f79996c74”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.0”Œr-glue >=1.1.1”Œr-httr >=1.2.1”Œr-jsonlite >=1.5”Œr-purrr >=0.2.2.2”Œr-readr >=1.1.1”Œr-stringr >=1.2.0”Œr-tibble >=1.3.3”Œr-tidyr >=0.6.3”Œr-timetk >=0.1.1.1”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ	Ãf‚°!hEM×¥hFˆubh)”}”(hŒr-alphavantager”h#Œ0.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-alphavantager-0.1.3-r42hc72bb7e_0.conda”h+Œ a8efbcabe5f292a4aa4c511071753e8d”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-alphavantager-0.1.3-r42hc72bb7e_0.conda”h0Œ@e2ed2e2d828f3e65152cc335db943a7d3ecc75176c4183a6dd330c61cc5e3e17”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.0”Œr-glue >=1.1.1”Œr-httr >=1.2.1”Œr-jsonlite >=1.5”Œr-purrr >=0.2.2.2”Œr-readr >=1.1.1”Œr-stringr >=1.2.0”Œr-tibble >=1.3.3”Œr-tidyr >=0.6.3”Œr-timetk >=0.1.1.1”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ	Ãe‹DhEMí¥hFˆubh)”}”(hŒr-aplot”h#Œ0.1.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-aplot-0.1.10-r41hc72bb7e_0.conda”h+Œ 7a884820ec0bfc77ce68032553c5c455”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-aplot-0.1.10-r41hc72bb7e_0.conda”h0Œ@93ced0203b2858d19b4c27f42bbe6e8b4efc13a7491efa19492b7b02d85b2d9d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggfun >=0.0.4”Œ	r-ggplot2”Œr-ggplotify”Œ
r-magrittr”Œr-patchwork”Œr-yulab.utils”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ'áù©ühEJÈ hFˆubh)”}”(hŒr-aplot”h#Œ0.1.10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-aplot-0.1.10-r42hc72bb7e_0.conda”h+Œ c9fed2d39212e0c3cc1291eda0ab46cb”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-aplot-0.1.10-r42hc72bb7e_0.conda”h0Œ@2151eedd3ccea3d8d27d8e7eb8029f2545fe8a4426b6c5eef243cf7bb0b32ac9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggfun >=0.0.4”Œ	r-ggplot2”Œr-ggplotify”Œ
r-magrittr”Œr-patchwork”Œr-yulab.utils”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ'â”IºhEJ& hFˆubh)”}”(hŒ
r-argparse”h#Œ2.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-argparse-2.2.2-r41hc72bb7e_0.conda”h+Œ 0754dcc639d2eca6e681c3feba21b085”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-argparse-2.2.2-r41hc72bb7e_0.conda”h0Œ@77decf77e657d07e48b63ace17c3c0b3a2892f753ea79ebd82808f1213c10404”h2NhNh3(Œpython >=3.2”Œr-base >=4.1,<4.2.0a0”Œr-findpython”Œ
r-jsonlite”Œr-r6”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØûo7ÅÂhEJˆj hFˆubh)”}”(hŒ
r-argparse”h#Œ2.2.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-argparse-2.2.2-r42hc72bb7e_0.conda”h+Œ d7a9d35b75fcb865c0d7be60d168f377”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-argparse-2.2.2-r42hc72bb7e_0.conda”h0Œ@125e42c2e9e89c3d0950ea74a62c804dbfb8efcb01efe6aea31be4aeef0d0b83”h2NhNh3(Œpython >=3.2”Œr-base >=4.2,<4.3.0a0”Œr-findpython”Œ
r-jsonlite”Œr-r6”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØûo-Xå`hEJ¦` hFˆubh)”}”(hŒr-arm”h#Œ1.13_1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-arm-1.13_1-r42hc72bb7e_2.conda”h+Œ 0505e4f4b2ee94d123a9940831535fbe”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-arm-1.13_1-r42hc72bb7e_2.conda”h0Œ@5e4aa4cde3dcfa629256d4312c3f578e13f4039338cc6fbdcbc522a03ea1095b”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-coda”Œr-hmisc”Œr-lme4 >=1.0”Œr-mass”Œr-matrix >=1.0”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"Ì¸XƒhEJ(s hFˆubh)”}”(hŒr-arm”h#Œ1.13_1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-arm-1.13_1-r43hc72bb7e_2.conda”h+Œ f777ae77c2a7e3c2e60f040f9c908b9b”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-arm-1.13_1-r43hc72bb7e_2.conda”h0Œ@789fc19f9cb647ae056fba22a6d194467b73e72e08826875ba228748a772475c”h2NhNh3(Œr-abind”Œr-base >=4.3,<4.4.0a0”Œr-coda”Œr-hmisc”Œr-lme4 >=1.0”Œr-mass”Œr-matrix >=1.0”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"Ì¸œÝ/hEJ:§ hFˆubh)”}”(hŒ	r-arsenal”h#Œ3.6.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-arsenal-3.6.3-r42hc72bb7e_2.conda”h+Œ bdeda225c39f3bb35d65f80cbcb3e541”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-arsenal-3.6.3-r42hc72bb7e_2.conda”h0Œ@187586d093cd53b54b426163346db86984d6d9f1f800ef598373ee6bcd0a82d0”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-knitr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#µšn˜hEJ‰5 hFˆubh)”}”(hŒ	r-arsenal”h#Œ3.6.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-arsenal-3.6.3-r43hc72bb7e_2.conda”h+Œ b79119cbb5282f5e90d30bb709371cd3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-arsenal-3.6.3-r43hc72bb7e_2.conda”h0Œ@656f54214e49a8bb2fca364a38e2e420fb43bbaaed51f77ad2bfb0993a6d2009”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-knitr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#ÇƒhEJ- hFˆubh)”}”(hŒr-asbio”h#Œ1.9_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-asbio-1.9_2-r41hc72bb7e_0.conda”h+Œ 48c09eec3f8f5e7b0a6606e80f1c1258”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-asbio-1.9_2-r41hc72bb7e_0.conda”h0Œ@324dda74956786a1bd9dc5efa888bdf8cc1d1db3478170f4fbc57c970e500422”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-combinat”Œ	r-desolve”Œr-gwidgets2”Œr-gwidgets2tcltk”Œ	r-lattice”Œr-multcompview”Œ	r-mvtnorm”Œr-pixmap”Œ	r-plotrix”Œr-scatterplot3d”Œ	r-tkrplot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ©ž6vÉhEJÓ1 hFˆubh)”}”(hŒr-asbio”h#Œ1.9_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-asbio-1.9_2-r42hc72bb7e_0.conda”h+Œ 6905338caf91f235410ab195d92d4258”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-asbio-1.9_2-r42hc72bb7e_0.conda”h0Œ@c9d5aa02ec4ede9d2d401d6c00b2df2e017ac1b19e4dcb8fecbc76532d93a0f5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-combinat”Œ	r-desolve”Œr-gwidgets2”Œr-gwidgets2tcltk”Œ	r-lattice”Œr-multcompview”Œ	r-mvtnorm”Œr-pixmap”Œ	r-plotrix”Œr-scatterplot3d”Œ	r-tkrplot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ©’z~úhEJ›È1 hFˆubh)”}”(hŒr-asioheaders”h#Œ1.22.1_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-asioheaders-1.22.1_2-r41hc72bb7e_0.conda”h+Œ 172603ac858d9930a0d86cc65ef9fa8f”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-asioheaders-1.22.1_2-r41hc72bb7e_0.conda”h0Œ@e6751099a0f3ce82f1b4a4b8ad3a9a3ea2cc9f3f542acc9061dd29485ce75851”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAØäu€ hEJþ hFˆubh)”}”(hŒr-asioheaders”h#Œ1.22.1_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-asioheaders-1.22.1_2-r42hc72bb7e_0.conda”h+Œ 0e51860a1ed5ae2842adc932f8b7745c”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-asioheaders-1.22.1_2-r42hc72bb7e_0.conda”h0Œ@664e4c47e0ad8ccf6ba6471ac0c2b15e53f4e854a522472b080d1e2d2358f9fb”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAØäu…8 ÅhEJÏ hFˆubh)”}”(hŒr-asioheaders”h#Œ1.22.1_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-asioheaders-1.22.1_2-r42hc72bb7e_1.conda”h+Œ 1e444928a3f799a18e173930616c0e73”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-asioheaders-1.22.1_2-r42hc72bb7e_1.conda”h0Œ@94fd489704406257f2e904f64bb28517c68b76ffddc74ba4fa45d95f9dedff06”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAÙ"ÍpüÝ/hEJòþ hFˆubh)”}”(hŒr-asioheaders”h#Œ1.22.1_2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ*r-asioheaders-1.22.1_2-r43hc72bb7e_1.conda”h+Œ 17e1d81a943365cb84a718bc57dc63e3”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-asioheaders-1.22.1_2-r43hc72bb7e_1.conda”h0Œ@77a6aa8cccc0bab4855ba4385371d5c6496f490ee51fcffbfc560558b468d865”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAÙ"Íp®ÙhEJ› hFˆubh)”}”(hŒr-assertive.base”h#Œ0.0_9”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-assertive.base-0.0_9-r42hc72bb7e_2.conda”h+Œ d58cb0e1dd849d6ee0fbfbd06aa002e0”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.base-0.0_9-r42hc72bb7e_2.conda”h0Œ@100f3d976c5946dce607f9f7b89bd6b4a0ae70ea736a78395d07fabcf0557df0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"¥pŒ“hEJˆô hFˆubh)”}”(hŒr-assertive.base”h#Œ0.0_9”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ*r-assertive.base-0.0_9-r43hc72bb7e_2.conda”h+Œ 2130e6d78de2c61f73fa9dced65ab178”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.base-0.0_9-r43hc72bb7e_2.conda”h0Œ@f1b8e302c00406ccfc137e064e14c5126ab668794edc21ab2853595c47f63192”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"¥xõ‘hhEJô hFˆubh)”}”(hŒr-assertive.code”h#Œ0.0_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-assertive.code-0.0_4-r41hc72bb7e_0.conda”h+Œ 4b950ea98f06295228ab9b79cd5d5bdb”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.code-0.0_4-r41hc72bb7e_0.conda”h0Œ@737debf8f81c6b2290c1b0c217ef4edc2882d5aedf402e68f5e87e7942a4a80d”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.properties”Œr-assertive.types”Œr-base >=4.1,<4.2.0a0”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙrˆš^5hEMzýhFˆubh)”}”(hŒr-assertive.code”h#Œ0.0_4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-assertive.code-0.0_4-r42hc72bb7e_0.conda”h+Œ 9200adb236183f395de8a61e2d7e0ebe”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.code-0.0_4-r42hc72bb7e_0.conda”h0Œ@b025e2884cc015d9e96ca87607ff0a48ff7de44d2cdec0e3d96e336379d37974”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.properties”Œr-assertive.types”Œr-base >=4.2,<4.3.0a0”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙr’™ë…hEM«þhFˆubh)”}”(hŒr-assertive.files”h#Œ0.0_2”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ.r-assertive.files-0.0_2-r42hc72bb7e_1005.conda”h+Œ ee8aa95946aa2df0c4b1d7db7f45af77”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/r-assertive.files-0.0_2-r42hc72bb7e_1005.conda”h0Œ@64d7af6d39d380f76487372075ebac14c425510d47d3e37547d18ace38a2269a”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.numbers”Œr-base >=4.2,<4.3.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"÷¬ÃSøhEJÖK hFˆubh)”}”(hŒr-assertive.files”h#Œ0.0_2”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ.r-assertive.files-0.0_2-r43hc72bb7e_1005.conda”h+Œ 15393e047ee8a59be0065340c762ab2b”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/r-assertive.files-0.0_2-r43hc72bb7e_1005.conda”h0Œ@d2b7aa16b685e68f9ac89e49046b5b592d3a9b7975cbd8d2abe26ac962046b21”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.numbers”Œr-base >=4.3,<4.4.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"÷¬bNhEJâJ hFˆubh)”}”(hŒr-assertive.numbers”h#Œ0.0_2”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ0r-assertive.numbers-0.0_2-r42hc72bb7e_1005.conda”h+Œ 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r-baguette”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-baguette-1.0.1-r41hc72bb7e_0.conda”h+Œ 2680b6d07193e5ffe38ea7a5be4c503f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-baguette-1.0.1-r41hc72bb7e_0.conda”h0Œ@e869c0e506306d2ab3429184e29b5081f0f409c98d75ad34705279d886c1025f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-butcher”Œr-c50”Œr-dials”Œr-dplyr”Œr-earth”Œr-furrr”Œ
r-generics”Œ	r-hardhat”Œ
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r-baguette”h#Œ1.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-baguette-1.0.1-r42hc72bb7e_0.conda”h+Œ b60b462d36fb5bea45b5af582b9506cd”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-baguette-1.0.1-r42hc72bb7e_0.conda”h0Œ@ab653052af572fe967f5900fe495a63167124dac35e068c2491de2469a5daa13”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-butcher”Œr-c50”Œr-dials”Œr-dplyr”Œr-earth”Œr-furrr”Œ
r-generics”Œ	r-hardhat”Œ
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r-ggridges”Œr-glue”Œr-posterior”Œ
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r-ggridges”Œr-glue”Œr-posterior”Œ
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hEJþ hFˆubh)”}”(hŒr-benchmarkme”h#Œ1.0.8”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-benchmarkme-1.0.8-r43hc72bb7e_2.conda”h+Œ 79c8a1b061bee9baefc4f646ca0f0bd4”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-benchmarkme-1.0.8-r43hc72bb7e_2.conda”h0Œ@b04e3cefd4d778b913f6bb4b953bd684e8961d0a5e2d7d67487538ea304d96e8”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-benchmarkmedata >=1.0.4”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œr-httr”Œr-matrix”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"÷¦I‰7hEJ” hFˆubh)”}”(hŒr-benchmarkmedata”h#Œ1.0.4”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ+r-benchmarkmedata-1.0.4-r42hc72bb7e_3.conda”h+Œ 16fbc9215d045a4ede25c2f95b226971”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-benchmarkmedata-1.0.4-r42hc72bb7e_3.conda”h0Œ@64d5106bf46d0cea78993e6aee0c09db611a132543ead64a8f044c940a6e7ef1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-tibble”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAÙ"ëéÉXhEJ¾¤ hFˆubh)”}”(hŒr-benchmarkmedata”h#Œ1.0.4”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ+r-benchmarkmedata-1.0.4-r43hc72bb7e_3.conda”h+Œ 84499691fca7153438c4d1bb6a7e7cb2”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-benchmarkmedata-1.0.4-r43hc72bb7e_3.conda”h0Œ@e64df67357bd0f45c293bd65b73f084dc6a15452c99192340907b54f11ea6bad”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-dplyr”Œr-tibble”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAÙ"ëèxõÃhEJÊ£ hFˆubh)”}”(hŒr-berryfunctions”h#Œ1.22.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-berryfunctions-1.22.0-r41hc72bb7e_0.conda”h+Œ 623c7fded927a4ca3a98ae45186dcdba”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-berryfunctions-1.22.0-r41hc72bb7e_0.conda”h0Œ@0a30a44673b8b94e6992c11d725c5869ae3d6f6b19980fea25c2e1792066bd3c”h2NhNh3Œr-abind”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ®óC–hEJµö hFˆubh)”}”(hŒr-berryfunctions”h#Œ1.22.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ+r-berryfunctions-1.22.0-r42hc72bb7e_0.conda”h+Œ b196cd16fbff92447c3e5d647466e371”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-berryfunctions-1.22.0-r42hc72bb7e_0.conda”h0Œ@00f827871f57dff68badad272f6a044bed7269c002f5db7f28ed9a9cbc915c13”h2NhNh3Œr-abind”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ®¡)Û#hEJü hFˆubh)”}”(hŒr-berryfunctions”h#Œ1.22.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-berryfunctions-1.22.0-r42hc72bb7e_1.conda”h+Œ c6d55269422675466d624eb612c988a6”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-berryfunctions-1.22.0-r42hc72bb7e_1.conda”h0Œ@0a98b713ad513585314cbd699ccaa474253951e498677efe224a9e36e78cc5c1”h2NhNh3Œr-abind”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#µÎ$ÝhEJ¼ø hFˆubh)”}”(hŒr-berryfunctions”h#Œ1.22.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ+r-berryfunctions-1.22.0-r43hc72bb7e_1.conda”h+Œ 74cf26df99672af63bb143518a7aa510”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-berryfunctions-1.22.0-r43hc72bb7e_1.conda”h0Œ@a40ca4e8ca37db23583c821ff45cc024a1e58b0771f88c70ce8cdabafda10b42”h2NhNh3Œr-abind”Œr-base >=4.3,<4.4.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#³
=hEJóì hFˆubh)”}”(hŒr-bestnormalize”h#Œ1.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-bestnormalize-1.9.0-r41hc72bb7e_0.conda”h+Œ cd3ec3864f1ee5eacbc6a8f0b3eeb2f8”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-bestnormalize-1.9.0-r41hc72bb7e_0.conda”h0Œ@ca4a3fec0219d11908c44a8067adce422867911f6294f98f9f127ec01c017a80”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-butcher”Œr-doparallel”Œr-dorng”Œr-dplyr”Œ	r-foreach”Œr-lambertw >=0.6.5”Œ	r-nortest”Œr-purrr”Œ	r-recipes”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¬_Ê°!hEJˆÍ hFˆubh)”}”(hŒr-bestnormalize”h#Œ1.9.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-bestnormalize-1.9.0-r42hc72bb7e_0.conda”h+Œ bd166262f996d7d7515e34c869312faa”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-bestnormalize-1.9.0-r42hc72bb7e_0.conda”h0Œ@1b8f7086b67195bb3db22e0dc37be96f07c1c2e12726ba6fee0fd75eaa3bd4c6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-butcher”Œr-doparallel”Œr-dorng”Œr-dplyr”Œ	r-foreach”Œr-lambertw >=0.6.5”Œ	r-nortest”Œr-purrr”Œ	r-recipes”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¬aë…hEJ×× hFˆubh)”}”(hŒr-bh”h#Œ1.81.0_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-bh-1.81.0_1-r41hc72bb7e_0.conda”h+Œ b8fc6929ec9dd61b3dbc6504250e7535”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-bh-1.81.0_1-r41hc72bb7e_0.conda”h0Œ@d0f7c18e5c6c6e80ba417e652d8a009ffad9f25e8d6f0dc1bd7682291600d106”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAØóIÚñ©ühEJy'­ hFˆubh)”}”(hŒr-bh”h#Œ1.81.0_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-bh-1.81.0_1-r42hc72bb7e_0.conda”h+Œ 4e21ae5b780964cbe738d42af30b5dd5”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-bh-1.81.0_1-r42hc72bb7e_0.conda”h0Œ@08432982857743410da59b3cc91b6930b2b64268bf06fe11ca93cf92766bfe65”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAØóIÖ2Ÿ¾hEJ’U­ hFˆubh)”}”(hŒr-bh”h#Œ1.81.0_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-bh-1.81.0_1-r42hc72bb7e_1.conda”h+Œ ec9828d673ae0ee92202c8be910dca74”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-bh-1.81.0_1-r42hc72bb7e_1.conda”h0Œ@fbabeee64f190871cc2a172ae3d80d08baeaf8475c8a4fd46a57e6be7d14a8b8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAÙ"wöâÐåhEJ÷l­ hFˆubh)”}”(hŒr-bh”h#Œ1.81.0_1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-bh-1.81.0_1-r43hc72bb7e_1.conda”h+Œ bf23353f5e84ea2c04f4866c30567472”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-bh-1.81.0_1-r43hc72bb7e_1.conda”h0Œ@a86e5cadeec16222d80ebdee63eae95055934ebda966b17f884e5bba2698e522”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAÙ"wàG®hEJ‹=­ hFˆubh)”}”(hŒr-bibtex”h#Œ0.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-bibtex-0.5.1-r41hc72bb7e_0.conda”h+Œ 7f262a86300bebc1ec9c540ce31716e5”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bibtex-0.5.1-r41hc72bb7e_0.conda”h0Œ@586d4e0a6ff97fa110365c28ffe0a6338d7709c756e74461643591881f383dc9”h2NhNh3Œr-backports >=1.4.0”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØôŸ,'¾whEJm hFˆubh)”}”(hŒr-bibtex”h#Œ0.5.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-bibtex-0.5.1-r42hc72bb7e_0.conda”h+Œ 1804d3e54d75a13221d0f3d559906925”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bibtex-0.5.1-r42hc72bb7e_0.conda”h0Œ@7cc080f228348da73023530c9fb228f06600037abb04f9ce59a5a7a04c1a3f2a”h2NhNh3Œr-backports >=1.4.0”Œr-base >=4.2,<4.3.0a0”†”•*      h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØôŸ&Ý/hEJ™m hFˆubh)”}”(hŒr-bibtex”h#Œ0.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-bibtex-0.5.1-r42hc72bb7e_1.conda”h+Œ 82e7ef32787ffd9c20151180d795173a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bibtex-0.5.1-r42hc72bb7e_1.conda”h0Œ@b426c52b866d7dc54d320d90371fab5c0671bca27a96b7b1563ac69608059c4b”h2NhNh3Œr-backports >=1.4.0”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ž@Ü“hEJ_o hFˆubh)”}”(hŒr-bibtex”h#Œ0.5.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-bibtex-0.5.1-r43hc72bb7e_1.conda”h+Œ c2a6eb1e356bc11a241dadd63ff5980c”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bibtex-0.5.1-r43hc72bb7e_1.conda”h0Œ@7609e03a1db932f31118fa6b2930be05deba67a31560df1bf8b7e31faad07ddf”h2NhNh3Œr-backports >=1.4.0”Œr-base >=4.3,<4.4.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"žT
=hEJÙq hFˆubh)”}”(hŒr-bigassertr”h#Œ0.1.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-bigassertr-0.1.6-r41hc72bb7e_0.conda”h+Œ 02d2286dbd22dfee23ec3d471f828458”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-bigassertr-0.1.6-r41hc72bb7e_0.conda”h0Œ@69a765cbbf952bed6b4f1332befdd8e0403b3b120bcbbd8792c1b415f5af2b1d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØïšl  ÅhEMØ½hFˆubh)”}”(hŒr-bigassertr”h#Œ0.1.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-bigassertr-0.1.6-r42hc72bb7e_0.conda”h+Œ 0242958e1879c1570019cb8ed7163fe7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-bigassertr-0.1.6-r42hc72bb7e_0.conda”h0Œ@e9775393d5bf187239338aa474c81bbd121e01d4435d848a439fb1c2a41542d8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØïšy…hEM"¿hFˆubh)”}”(hŒr-bigassertr”h#Œ0.1.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-bigassertr-0.1.6-r42hc72bb7e_1.conda”h+Œ 1eb5fe38dd729677c8ac0166fccd9801”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-bigassertr-0.1.6-r42hc72bb7e_1.conda”h0Œ@d12e9d77a47cff16a0a7bd236a5521822b1539a6209431bab41f6a2a0de3d2f3”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ëÖC33hEM‹¿hFˆubh)”}”(hŒr-bigassertr”h#Œ0.1.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-bigassertr-0.1.6-r43hc72bb7e_1.conda”h+Œ d465d6683b1748a638611c92d131309e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-bigassertr-0.1.6-r43hc72bb7e_1.conda”h0Œ@c49b414dfc2dde869a7d5f327dc304aef0bb1fbd5a6009ee980dfe637e9fa388”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ëÓ×+hEM¿hFˆubh)”}”(hŒr-bigd”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-bigd-0.2.0-r42hc72bb7e_1.conda”h+Œ d0b55d511c14ef0d2a76aa1082de3c0b”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-bigd-0.2.0-r42hc72bb7e_1.conda”h0Œ@71da89f30829d6ea5f36340f54b24197d1dde689216c6311d33837f93abaa9c4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÆºPÔþhEJ¬» hFˆubh)”}”(hŒr-bigd”h#Œ0.2.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-bigd-0.2.0-r43hc72bb7e_1.conda”h+Œ f82a16255cbf9cc37469ad6d2601056e”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-bigd-0.2.0-r43hc72bb7e_1.conda”h0Œ@5b448931ed7c1e1f32e1eef48aef7835f155c7d9ce3dc1047e1503adb7523991”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Æ¬ÔþhEJ‡µ hFˆubh)”}”(hŒr-bigmemory.sri”h#Œ0.1.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-bigmemory.sri-0.1.6-r42hc72bb7e_1.conda”h+Œ b67601220c4ab01257a1992652452051”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-bigmemory.sri-0.1.6-r42hc72bb7e_1.conda”h0Œ@75c1be86a696780f4a809ebfa612b0bd06456faf29934aa07386c43f5607951c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-3.0-only OR Apache-2.0”hBŒLGPL”hDGAÙ"¸ü¨õÃhEMk[hFˆubh)”}”(hŒr-bigmemory.sri”h#Œ0.1.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ)r-bigmemory.sri-0.1.6-r43hc72bb7e_1.conda”h+Œ 4d819b294beeb6ff4a3a4b385048bea1”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-bigmemory.sri-0.1.6-r43hc72bb7e_1.conda”h0Œ@b9bf375a056ae831990207010029324a34d5d86f43920c2d83a594c81d3a5210”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLGPL-3.0-only OR Apache-2.0”hBŒLGPL”hDGAÙ"¸ýp ÅhEMj[hFˆubh)”}”(hŒ	r-bigstep”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-bigstep-1.1.1-r41hc72bb7e_0.conda”h+Œ bfeef0d6662ce817d9df278ccd372051”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bigstep-1.1.1-r41hc72bb7e_0.conda”h0Œ@67f6fb021347a4717c0bae5056799968dc5eab67bee1267dc5bac7c1bd92e13e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bigmemory”Œ
r-magrittr”Œr-matrixstats”Œ	r-r.utils”Œr-rcppeigen”Œ
r-speedglm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙª}ÂhEJ4ž hFˆubh)”}”(hŒ	r-bigstep”h#Œ1.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-bigstep-1.1.1-r42hc72bb7e_0.conda”h+Œ 918afa2ab45f96298628e14853ac3bcf”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bigstep-1.1.1-r42hc72bb7e_0.conda”h0Œ@d817dbb237926dfd0f3add788f2bb93c180a9bcd61098233c6ba807a47e3ee26”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bigmemory”Œ
r-magrittr”Œr-matrixstats”Œ	r-r.utils”Œr-rcppeigen”Œ
r-speedglm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÄ[¶FhEJ}Ÿ hFˆubh)”}”(hŒr-billboarder”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-billboarder-0.4.0-r41hc72bb7e_0.conda”h+Œ 41c09b0ea6510f0330ffb013b2ac37f7”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-billboarder-0.4.0-r41hc72bb7e_0.conda”h0Œ@696e97f31250d2d34762c65dd4282d112f10dfd4c8308c372a4e55a2c06aaf73”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-magrittr”Œr-scales”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØî×[}?}hEJ/» hFˆubh)”}”(hŒr-billboarder”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-billboarder-0.4.0-r42hc72bb7e_0.conda”h+Œ d0ff6bc0d87bb98b8b7f3f1d49e7eab8”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-billboarder-0.4.0-r42hc72bb7e_0.conda”h0Œ@e89ffe37c07bd35397ae13da5087908c1e6c99553d5dc1c830a59f471a3001a2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-magrittr”Œr-scales”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØî×PYë…hEJ<Ä hFˆubh)”}”(hŒ	r-binsreg”h#Œ0.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-binsreg-0.9-r41hc72bb7e_0.conda”h+Œ 268e1c533594b2092ca5ebcc87650736”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-binsreg-0.9-r41hc72bb7e_0.conda”h0Œ@edd46e4647b304f2076d1fa6bc71e72ab692c6f53ef7c428c035e0900886836e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-matrixstats”Œ
r-quantreg”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØî¯R-hEJ\Ú hFˆubh)”}”(hŒ	r-binsreg”h#Œ0.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-binsreg-0.9-r42hc72bb7e_0.conda”h+Œ 1e0fe26f736d69d74e82154da3b612b5”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-binsreg-0.9-r42hc72bb7e_0.conda”h0Œ@9339e4f5b4b8764071218ea4c0f11fc8be3922793124cd161254cf4e5df65958”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-matrixstats”Œ
r-quantreg”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØî±—hEJÝ hFˆubh)”}”(hŒr-biocmanager”h#Œ1.30.21”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-biocmanager-1.30.21-r41hc72bb7e_0.conda”h+Œ b4c1f6d448b626e569911a4e03caab3c”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-biocmanager-1.30.21-r41hc72bb7e_0.conda”h0Œ@37bc5085b9388500405b94cc56de63de6ef50c4cb3115b6fe004aa620b7300e3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ ýmŠ\hEJïS hFˆubh)”}”(hŒr-biocmanager”h#Œ1.30.21”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-biocmanager-1.30.21-r42hc72bb7e_0.conda”h+Œ c93b0d533dded14703ca239ba7408ffe”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-biocmanager-1.30.21-r42hc72bb7e_0.conda”h0Œ@0b0bb08d27f34bd293874bf94b15a2b525bb53da103fceb18e2a8e291f9a030d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ ýb÷;dhEJµT hFˆubh)”}”(hŒr-biocmanager”h#Œ1.30.21”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-biocmanager-1.30.21-r42hc72bb7e_1.conda”h+Œ 42f1342e8a865ea3ab85a1f9c09740ed”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-biocmanager-1.30.21-r42hc72bb7e_1.conda”h0Œ@92c1a731272dc1dc1e17f2c857cc53e1689e08946bad01c128a5efb9626d31cc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"Àå-VhEJ+T hFˆubh)”}”(hŒr-biocmanager”h#Œ1.30.21”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ)r-biocmanager-1.30.21-r43hc72bb7e_1.conda”h+Œ 9900d4091ee92bc0aea83ca25ff2e481”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-biocmanager-1.30.21-r43hc72bb7e_1.conda”h0Œ@0d4c8f0f53539f729192dca362b77595d5300539c1a8d079b59337f43c98aa49”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"ÀðÌzáhEJìU hFˆubh)”}”(hŒr-biodivmapr”h#Œ1.10.2”h%Œr41hd8ed1ab_0”h'K hhh(h)hŒ'r-biodivmapr-1.10.2-r41hd8ed1ab_0.conda”h+Œ 5064ba00f61a99dcf4799b25eca7df1d”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-biodivmapr-1.10.2-r41hd8ed1ab_0.conda”h0Œ@f898e9b20669628de4ab875d8edd8e304e7d8dc0c291891ffa51ea64a1370d61”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-data.table”Œr-dissutils”Œ
r-emstreer”Œr-fields”Œr-future”Œr-future.apply”Œ
r-geometry”Œr-labdsv”Œr-matlab”Œr-matrixstats”Œr-mmand”Œ
r-progress”Œr-progressr”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-sf”Œr-snow”Œr-sp”Œr-stars”Œ	r-stringr”Œr-vegan”Œr-zip”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôsÛRn˜hEJ}» hFˆubh)”}”(hŒr-biodivmapr”h#Œ1.10.2”h%Œr42hd8ed1ab_0”h'K hhh(h)hŒ'r-biodivmapr-1.10.2-r42hd8ed1ab_0.conda”h+Œ ef0d9194b7c8b635dae0b29222962ebf”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-biodivmapr-1.10.2-r42hd8ed1ab_0.conda”h0Œ@995f456f6873f6eea960f39d009a1dfc73f68846914878551e6627e2cdee7292”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-data.table”Œr-dissutils”Œ
r-emstreer”Œr-fields”Œr-future”Œr-future.apply”Œ
r-geometry”Œr-labdsv”Œr-matlab”Œr-matrixstats”Œr-mmand”Œ
r-progress”Œr-progressr”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-sf”Œr-snow”Œr-sp”Œr-stars”Œ	r-stringr”Œr-vegan”Œr-zip”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôsï¶ùÛhEJ¶‚º hFˆubh)”}”(hŒ	r-biomod2”h#Œ4.2_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-biomod2-4.2_3-r41hc72bb7e_0.conda”h+Œ 3329474eb014ce0d21229aac96fba18f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-biomod2-4.2_3-r41hc72bb7e_0.conda”h0Œ@48d028bbe017d23af15b3a744b0bbdb2a5e744cacbbf66f61d411e863942aa89”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-dplyr”Œr-earth”Œ	r-foreach”Œr-gbm >=2.1.3”Œ	r-ggplot2”Œr-mass”Œr-maxnet”Œr-mda”Œr-nnet”Œr-presenceabsence”Œr-proc >=1.15.0”Œr-randomforest”Œ	r-reshape”Œ
r-reshape2”Œr-rpart”Œr-sp”Œr-terra >=1.6_33”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ4±oïžhEJep hFˆubh)”}”(hŒ	r-biomod2”h#Œ4.2_3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-biomod2-4.2_3-r42hc72bb7e_0.conda”h+Œ b35127f5f34903c1716ac524447f6c9f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-biomod2-4.2_3-r42hc72bb7e_0.conda”h0Œ@d3f79f7d9eed4101d5c1c3641686bae3efdbf2045ef97c726de1de94beb9633b”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-dplyr”Œr-earth”Œ	r-foreach”Œr-gbm >=2.1.3”Œ	r-ggplot2”Œr-mass”Œr-maxnet”Œr-mda”Œr-nnet”Œr-presenceabsence”Œr-proc >=1.15.0”Œr-randomforest”Œ	r-reshape”Œ
r-reshape2”Œr-rpart”Œr-sp”Œr-terra >=1.6_33”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ4ÈLÝ/hEJÒp hFˆubh)”}”(hŒr-bioseq”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-bioseq-0.1.4-r41hc72bb7e_0.conda”h+Œ 28e75b3437d9b6532ffdb29520e0269d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bioseq-0.1.4-r41hc72bb7e_0.conda”h0Œ@f39b634691fa811bae41a883f7da1322175477524298fa5cfdcb1f000666fc97”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-dplyr”Œr-pillar”Œr-readr”Œr-rlang”Œr-stringdist”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¤T5ÒòhEJ_· hFˆubh)”}”(hŒr-bioseq”h#Œ0.1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-bioseq-0.1.4-r42hc72bb7e_0.conda”h+Œ 5f43d2e14830959ec0a8b6b23300498e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bioseq-0.1.4-r42hc72bb7e_0.conda”h0Œ@7fcd51098bb9e0347ba198b2e2a68e75fc2be45b2e39c00f318e64da4faf0e4d”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-dplyr”Œr-pillar”Œr-readr”Œr-rlang”Œr-stringdist”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¤Qõó¶hEJ™­ hFˆubh)”}”(hŒ
r-blastula”h#Œ0.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-blastula-0.3.3-r41hc72bb7e_0.conda”h+Œ 52f7548becc2b1310107ee2991d9204e”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-blastula-0.3.3-r41hc72bb7e_0.conda”h0Œ@2e044649453cac682ac6c9b245fb27d8b25d691386a23c6f8babdbc6c9207f5c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc >=0.1_3”Œr-commonmark >=1.7”Œr-curl >=4.3”Œr-digest”Œr-dplyr >=0.8.3”Œr-fs >=1.3.1”Œr-getpass >=0.2_2”Œr-here >=0.1”Œr-htmltools >=0.4.0”Œr-httr >=1.4.0”Œr-jsonlite >=1.6”Œr-magrittr >=1.5”Œr-mime >=0.6”Œr-rlang >=0.4.1”Œr-rmarkdown”Œr-stringr >=1.4.0”Œr-uuid >=0.1_2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØîK)7LhEJ±‡! hFˆubh)”}”(hŒ
r-blastula”h#Œ0.3.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-blastula-0.3.3-r42hc72bb7e_0.conda”h+Œ 76b3c2fdfd5a3703766ec79eb6c1c7fc”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-blastula-0.3.3-r42hc72bb7e_0.conda”h0Œ@279456c4556ff4538216037dfe1ea1eab871c632b0592f955baaf0c583bea639”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc >=0.1_3”Œr-commonmark >=1.7”Œr-curl >=4.3”Œr-digest”Œr-dplyr >=0.8.3”Œr-fs >=1.3.1”Œr-getpass >=0.2_2”Œr-here >=0.1”Œr-htmltools >=0.4.0”Œr-httr >=1.4.0”Œr-jsonlite >=1.6”Œr-magrittr >=1.5”Œr-mime >=0.6”Œr-rlang >=0.4.1”Œr-rmarkdown”Œr-stringr >=1.4.0”Œr-uuid >=0.1_2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØîKíó¶hEJ‰! hFˆubh)”}”(hŒr-blob”h#Œ1.2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-blob-1.2.4-r41hc72bb7e_0.conda”h+Œ 3cb24332a346832eb755d121fb5dcf8a”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-blob-1.2.4-r41hc72bb7e_0.conda”h0Œ@a4d45132d8e40b675adf08a353a2dbc63a77f69aca41eaf49f994c8871338512”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rlang”Œr-vctrs >=0.2.1”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ ®FE¢hEJw hFˆubh)”}”(hŒr-blob”h#Œ1.2.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-blob-1.2.4-r42hc72bb7e_0.conda”h+Œ c1ca3fcfc8cbff48ccd3796e22c9daf9”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-blob-1.2.4-r42hc72bb7e_0.conda”h0Œ@5d299d5dab34ced9a2ad2ef669f1731ad71b08656a19a39c181f5b33e5115deb”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rlang”Œr-vctrs >=0.2.1”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ š*Ÿ¾hEJž hFˆubh)”}”(hŒr-blob”h#Œ1.2.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-blob-1.2.4-r42hc72bb7e_1.conda”h+Œ 3c6f866c45c42158ff15bd8237aa68d1”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-blob-1.2.4-r42hc72bb7e_1.conda”h0Œ@8a2c2adacc208419e38c4c156e4bbbc26b87afbce676eaba293bf755866ed0d9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rlang”Œr-vctrs >=0.2.1”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"„Ï‚¬hEJt hFˆubh)”}”(hŒr-blob”h#Œ1.2.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-blob-1.2.4-r43hc72bb7e_1.conda”h+Œ 69f3c52f7fc4cf298ba3a45423f7380a”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-blob-1.2.4-r43hc72bb7e_1.conda”h0Œ@77696ce5f4c85529c3b77611a7be5d4f771e55d4b3cd137bd95413084b7003c4”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-rlang”Œr-vctrs >=0.2.1”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"„Ò`BhEJÞ  hFˆubh)”}”(hŒ
r-blogdown”h#Œ1.17”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-blogdown-1.17-r41hc72bb7e_0.conda”h+Œ 1849e8b1997952f590bf4cab870cc58a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-blogdown-1.17-r41hc72bb7e_0.conda”h0Œ@7bc844aede32730e68908dace934650602ad9446ac7e06d9081d3e07d4f41575”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bookdown >=0.22”Œr-htmltools”Œr-httpuv >=1.4.0”Œ
r-jsonlite”Œr-knitr >=1.25”Œr-later”Œr-rmarkdown >=2.8”Œr-servr >=0.21”Œr-xfun >=0.29”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÉ‹I‡hEJÈ1 hFˆubh)”}”(hŒ
r-blogdown”h#Œ1.17”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-blogdown-1.17-r42hc72bb7e_0.conda”h+Œ be97228a8b3b71a4cd30551b6a72b9c8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-blogdown-1.17-r42hc72bb7e_0.conda”h0Œ@b2ad3d9db9ba9da89801048fe7d8ad9a4c94e6ccd51ff9c176ef39fec3ce096c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bookdown >=0.22”Œr-htmltools”Œr-httpuv >=1.4.0”Œ
r-jsonlite”Œr-knitr >=1.25”Œr-later”Œr-rmarkdown >=2.8”Œr-servr >=0.21”Œr-xfun >=0.29”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÉ|k…hEJ%3 hFˆubh)”}”(hŒr-bold”h#Œ1.3.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ r-bold-1.3.0-r41h785f33e_0.conda”h+Œ 2915d26ff397e2e49a3db07aef3632f2”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-bold-1.3.0-r41h785f33e_0.conda”h0Œ@5454e69e85a9f0eec1332647c0fa7595eb298a14853a3c7ab44ca400b505b3b7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.3.8”Œr-data.table”Œ
r-jsonlite”Œr-plyr”Œ	r-reshape”Œ	r-stringr”Œr-tibble”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ\²œ9XhEJˆw hFˆubh)”}”(hŒr-bold”h#Œ1.3.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ r-bold-1.3.0-r42h785f33e_0.conda”h+Œ d9fb718e3b389a54543d49726d562a83”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-bold-1.3.0-r42h785f33e_0.conda”h0Œ@d90f26fef1b13feb40b35e1be2e2c284ef26768ccb194e58609b584c57a46208”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.3.8”Œr-data.table”Œ
r-jsonlite”Œr-plyr”Œ	r-reshape”Œ	r-stringr”Œr-tibble”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ\°=OßhEJ½u hFˆubh)”}”(hŒr-bold”h#Œ1.3.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ r-bold-1.3.0-r42h785f33e_1.conda”h+Œ f37954d59a9713233ef26f444b6ec368”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-bold-1.3.0-r42h785f33e_1.conda”h0Œ@4a3de6ac40abb8a7f35e322411bdaebe4b0a7cef0a3adbaf6e76303050e2e619”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.3.8”Œr-data.table”Œ
r-jsonlite”Œr-plyr”Œ	r-reshape”Œ	r-stringr”Œr-tibble”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ëÚæéyhEJw hFˆubh)”}”(hŒr-bold”h#Œ1.3.0”h%Œr43h785f33e_1”h'Khhh(h)hŒ r-bold-1.3.0-r43h785f33e_1.conda”h+Œ af8a14121007caa4da39e4d9f5434101”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-bold-1.3.0-r43h785f33e_1.conda”h0Œ@e32607059c80ef1e23656687d18c5bba97084633d8f0ac6584910148ded88a40”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crul >=0.3.8”Œr-data.table”Œ
r-jsonlite”Œr-plyr”Œ	r-reshape”Œ	r-stringr”Œr-tibble”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ëÕM²-hEJ^w hFˆubh)”}”(hŒr-bonsai”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-bonsai-0.2.1-r41hc72bb7e_0.conda”h+Œ 19af81d79225b7ba9b1d5abcc0f90e06”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bonsai-0.2.1-r41hc72bb7e_0.conda”h0Œ@0d39c52374596d8d208e365256657b5f5204791eca6489579de86a0f8a817cc0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dials”Œr-dplyr”Œr-glue”Œr-parsnip >=1.0.1”Œr-purrr”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâ…œýôhEJBu hFˆubh)”}”(hŒr-bonsai”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-bonsai-0.2.1-r42hc72bb7e_0.conda”h+Œ c50d09820f33982db85b1dd794b135d0”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bonsai-0.2.1-r42hc72bb7e_0.conda”h0Œ@9ea7592959e2cc6008e8332966022223ef6c1991630ecc80cee1fc9ffad2be3c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dials”Œr-dplyr”Œr-glue”Œr-parsnip >=1.0.1”Œr-purrr”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâƒ¯PhEJ0u hFˆubh)”}”(hŒ
r-bookdown”h#Œ0.34”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-bookdown-0.34-r41hc72bb7e_0.conda”h+Œ 502b351d10d1b049c77968a22d2bd16a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bookdown-0.34-r41hc72bb7e_0.conda”h0Œ@60d13a3b6b725a461e7211383ff40428ca28722fea990d83cd779c72eaae09bc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.3.6”Œr-jquerylib”Œr-knitr >=1.31”Œr-rmarkdown >=2.9”Œr-tinytex >=0.12”Œr-xfun >=0.22”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ…Yò-hEJ…Û hFˆubh)”}”(hŒ
r-bookdown”h#Œ0.34”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-bookdown-0.34-r42hc72bb7e_0.conda”h+Œ 2603f63c5566f1ba2e25126bd96194b4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bookdown-0.34-r42hc72bb7e_0.conda”h0Œ@93bad4766e9aed419ccd2d35e42520faff49b3c3d4b244ff07f75fb105ee410f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.3.6”Œr-jquerylib”Œr-knitr >=1.31”Œr-rmarkdown >=2.9”Œr-tinytex >=0.12”Œr-xfun >=0.22”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ…Y¾ÙhEJÙÞ hFˆubh)”}”(hŒ
r-bookdown”h#Œ0.34”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-bookdown-0.34-r42hc72bb7e_1.conda”h+Œ d8eac9bbe3ad8dc595cd02c896ccc4e0”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bookdown-0.34-r42hc72bb7e_1.conda”h0Œ@da28dcdfc27f054f6c4c505136f587e3fedc614d4ff66f88f6c2b53a1597bb9b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.3.6”Œr-jquerylib”Œr-knitr >=1.31”Œr-rmarkdown >=2.9”Œr-tinytex >=0.12”Œr-xfun >=0.22”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Æ¼ö§ðhEJÑÞ hFˆubh)”}”(hŒ
r-bookdown”h#Œ0.34”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-bookdown-0.34-r43hc72bb7e_1.conda”h+Œ 1e662fa5879040ca152056737ea69731”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bookdown-0.34-r43hc72bb7e_1.conda”h0Œ@12e57437198f67f5b2ac59becc48475e8f8e869e9df736a5e06b4df9b53661e4”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-htmltools >=0.3.6”Œr-jquerylib”Œr-knitr >=1.31”Œr-rmarkdown >=2.9”Œr-tinytex >=0.12”Œr-xfun >=0.22”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Æ¶oÎÙhEJ§Ü hFˆubh)”}”(hŒr-boot”h#Œ1.3_28.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-boot-1.3_28.1-r41hc72bb7e_0.conda”h+Œ b2133512f437cb9b595e96fe76498e72”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-boot-1.3_28.1-r41hc72bb7e_0.conda”h0Œ@0f85cde3a6a1dd13571681d701df75ad454fba91178b76f9f65ed0b4747b4011”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ	Unlimited”hBŒMIT”hDGAØßÍ·0A‰hEJi	 hFˆubh)”}”(hŒr-boot”h#Œ1.3_28.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-boot-1.3_28.1-r42hc72bb7e_0.conda”h+Œ df76b2535b861a929c8fc13f20ebb3bc”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-boot-1.3_28.1-r42hc72bb7e_0.conda”h0Œ@02b2e758075cc8a108a90a122195e5c597276989fbc8e25aad7bcc2fde5ac560”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ	Unlimited”hBŒMIT”hDGAØßÍ®W®hEJ	 hFˆubh)”}”(hŒr-boot”h#Œ1.3_28.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-boot-1.3_28.1-r42hc72bb7e_1.conda”h+Œ 1a05acac3343e200e2f46e6c2881b03b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-boot-1.3_28.1-r42hc72bb7e_1.conda”h0Œ@c8e189edc7ee1276d637d42df485735f0dfc19e4df28ac0f3334d586adaf51a4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ	Unlimited”hBŒMIT”hDGAÙ"u[h  hEJ6—	 hFˆubh)”}”(hŒr-boot”h#Œ1.3_28.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-boot-1.3_28.1-r43hc72bb7e_1.conda”h+Œ 5623952f96429c04be638cdefd244c53”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-boot-1.3_28.1-r43hc72bb7e_1.conda”h0Œ@e5e1618725ff75a9354c9c9be1f63bcbccec1a1cc2a7c9c1a1302819dbcf6449”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ	Unlimited”hBŒMIT”hDGAÙ"uHã÷ÏhEJ •	 hFˆubh)”}”(hŒ	r-bootnet”h#Œ1.5.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-bootnet-1.5.3-r41hc72bb7e_0.conda”h+Œ f4ccedd9b4fd92d98de4cbd32139aad8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bootnet-1.5.3-r41hc72bb7e_0.conda”h0Œ@5d7e80cd05897601b4beddf36985e425f82ad018deeb6d202fb557edd7adc980”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œ	r-bdgraph”Œ	r-corpcor”Œr-dplyr >=0.3.0.2”Œ	r-ggplot2”Œr-glasso”Œr-graphicalvar”Œr-gtools”Œr-huge”Œr-igraph”Œ
r-isingfit”Œr-isingsampler”Œr-lavaan”Œr-matrix”Œr-mgm >=1.2”Œ	r-mvtnorm”Œr-networktoolbox >=1.1.0”Œr-networktools”Œ	r-pbapply”Œr-psychtools”Œr-qgraph”Œ
r-relaimpo”Œr-snow”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ{	‰7hEJf hFˆubh)”}”(hŒ	r-bootnet”h#Œ1.5.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-bootnet-1.5.3-r42hc72bb7e_0.conda”h+Œ ac691b52af36c81f07ec3267a3248bbf”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bootnet-1.5.3-r42hc72bb7e_0.conda”h0Œ@a9b954ac5b3da788f98e11eb9e2b2921310f3b37e08a6c1036f894724c244677”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œ	r-bdgraph”Œ	r-corpcor”Œr-dplyr >=0.3.0.2”Œ	r-ggplot2”Œr-glasso”Œr-graphicalvar”Œr-gtools”Œr-huge”Œr-igraph”Œ
r-isingfit”Œr-isingsampler”Œr-lavaan”Œr-matrix”Œr-mgm >=1.2”Œ	r-mvtnorm”Œr-networktoolbox >=1.1.0”Œr-networktools”Œ	r-pbapply”Œr-psychtools”Œr-qgraph”Œ
r-relaimpo”Œr-snow”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙzþ‰‡hEJˆ hFˆubh)”}”(hŒr-brew”h#Œ1.0_8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-brew-1.0_8-r42hc72bb7e_2.conda”h+Œ db448bbf0bf04d36dfd679f565d42c97”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-brew-1.0_8-r42hc72bb7e_2.conda”h0Œ@15fb900610cb649606fc332c81b3185e8d2512279982bc2b3076a1f82ab1bf9b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Z¶û•hEJù hFˆubh)”}”(hŒr-brew”h#Œ1.0_8”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-brew-1.0_8-r43hc72bb7e_2.conda”h+Œ 2442cef1128defaf179325353eba59e6”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-brew-1.0_8-r43hc72bb7e_2.conda”h0Œ@ce855d8a61e1aca4af71515d332596ac35e68e1bdc64e83f59a2c3d804d0df0a”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Z¦6VhEJj
 hFˆubh)”}”(hŒr-bridgesampling”h#Œ1.1_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-bridgesampling-1.1_2-r42hc72bb7e_2.conda”h+Œ f3de267f63eb510e7b50b1704a4dd606”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bridgesampling-1.1_2-r42hc72bb7e_2.conda”h0Œ@77a6d3c976cc26157d7748a1bfe7545720adec2433571ad82b76ef48d5520d7a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-brobdingnag”Œr-coda”Œr-matrix”Œ	r-mvtnorm”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ÙFÂhEJãI hFˆubh)”}”(hŒr-bridgesampling”h#Œ1.1_2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ*r-bridgesampling-1.1_2-r43hc72bb7e_2.conda”h+Œ 8b439b183345fd826dd5185e23b029d0”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bridgesampling-1.1_2-r43hc72bb7e_2.conda”h0Œ@81483d3cd8bf5070da2287dff63f6abe6d1d527188e36381cf5800d61e9e0814”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-brobdingnag”Œr-coda”Œr-matrix”Œ	r-mvtnorm”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ÙMí?}hEJKN hFˆubh)”}”(hŒr-brobdingnag”h#Œ1.2_9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-brobdingnag-1.2_9-r42hc72bb7e_1.conda”h+Œ 11c3d30ca3c4aa3316243551a0da5e5d”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-brobdingnag-1.2_9-r42hc72bb7e_1.conda”h0Œ@8754c94385564fb6ae7482ba51bbf9005058418d5529754c0f6786251632c359”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix >=1.5_0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"Í_ ÄœhEJ®Ö hFˆubh)”}”(hŒr-brobdingnag”h#Œ1.2_9”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-brobdingnag-1.2_9-r43hc72bb7e_1.conda”h+Œ f49f8fa85de1ce002d51fd3bc3d20943”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-brobdingnag-1.2_9-r43hc72bb7e_1.conda”h0Œ@df6df3d29c48b4a8cae9ce42695c699315a0ac7f3878aff2abe6c4fc579cf722”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-matrix >=1.5_0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"Íhgl‹hEJè hFˆubh)”}”(hŒr-broom”h#Œ1.0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-broom-1.0.5-r41hc72bb7e_0.conda”h+Œ d5d83f565f9b296447c82634b2a7f31d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-broom-1.0.5-r41hc72bb7e_0.conda”h0Œ@48839189d1f17a8e12c74cd71999f82b4a459b33bb3545c56d038fdbcd08ad4c”h2NhNh3(Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œ
r-ellipsis”Œr-generics >=0.0.2”Œ	r-ggplot2”Œr-glue”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble >=3.0.0”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ î‚›çmhEJ5” hFˆubh)”}”(hŒr-broom”h#Œ1.0.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-broom-1.0.5-r42hc72bb7e_0.conda”h+Œ 6fa78aba796e192fad35665fb3130846”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-broom-1.0.5-r42hc72bb7e_0.conda”h0Œ@3c41eff5fb6aa1194eae262fe7d52d99f6989c47dde737b1cf7d36629da2daf2”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œ
r-ellipsis”Œr-generics >=0.0.2”Œ	r-ggplot2”Œr-glue”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble >=3.0.0”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ îr…/hEJÁ hFˆubh)”}”(hŒr-broom”h#Œ1.0.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-broom-1.0.5-r42hc72bb7e_1.conda”h+Œ c3ad1beca9e00f10a8764473d081b717”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-broom-1.0.5-r42hc72bb7e_1.conda”h0Œ@2314a73b1a25b55f6d2b4a20cdf6511ecf1df91e1b5cf64b2f999e3d691996ea”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œ
r-ellipsis”Œr-generics >=0.0.2”Œ	r-ggplot2”Œr-glue”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble >=3.0.0”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤ÝPr°hEJdŸ hFˆubh)”}”(hŒr-broom”h#Œ1.0.5”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-broom-1.0.5-r43hc72bb7e_1.conda”h+Œ 9e6d2088231c682265e6840af6ebec29”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-broom-1.0.5-r43hc72bb7e_1.conda”h0Œ@df6340e8988208a6af567f0b78702398f86c8d2192f2edcb20b3be1247758857”h2NhNh3(Œr-backports”Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=1.0.0”Œ
r-ellipsis”Œr-generics >=0.0.2”Œ	r-ggplot2”Œr-glue”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble >=3.0.0”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤àÆ¨hEJËo hFˆubh)”}”(hŒr-broom.helpers”h#Œ1.13.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-broom.helpers-1.13.0-r41hc72bb7e_0.conda”h+Œ 92e135919ac6ba23c5b949a1ceaea2a6”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-broom.helpers-1.13.0-r41hc72bb7e_0.conda”h0Œ@c86cf6607cc3310b37f9ea3b79482b22160af5a3806b7ff1bca176c33ca3cda3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-cli”Œr-dplyr”Œ
r-labelled”Œr-lifecycle”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ·ošáHhEJÞñ hFˆubh)”}”(hŒr-broom.helpers”h#Œ1.13.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-broom.helpers-1.13.0-r42hc72bb7e_0.conda”h+Œ 684dacfbd28c0eab5b861212de76c3c7”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-broom.helpers-1.13.0-r42hc72bb7e_0.conda”h0Œ@ce6e8f115b451e89d772c40470f869f6103de8fb517283d8868acb7e9cf99925”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-cli”Œr-dplyr”Œ
r-labelled”Œr-lifecycle”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ·lS×
hEJfð hFˆubh)”}”(hŒr-broom.mixed”h#Œ0.2.9.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-broom.mixed-0.2.9.4-r42hc72bb7e_2.conda”h+Œ 2e45278a9a957048672a724c494cdcb3”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-broom.mixed-0.2.9.4-r42hc72bb7e_2.conda”h0Œ@d57315048450fdf6d2374f05d93224fac3ad08988b1b0f80ab279c111e60f539”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-coda”Œr-dplyr”Œ	r-forcats”Œr-furrr”Œr-nlme”Œr-purrr”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"÷È´hEJ®g? hFˆubh)”}”(hŒr-broom.mixed”h#Œ0.2.9.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ)r-broom.mixed-0.2.9.4-r43hc72bb7e_2.conda”h+Œ 85e94d8692942ac7e1d74887ee9a155c”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-broom.mixed-0.2.9.4-r43hc72bb7e_2.conda”h0Œ@fb1a1c4fd15aa1af89d28c6ee312f4f32df0eb865858393238ae7ab514ae7321”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-broom”Œr-coda”Œr-dplyr”Œ	r-forcats”Œr-furrr”Œr-nlme”Œr-purrr”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"÷›iXhEJxZ? hFˆubh)”}”(hŒ	r-bs4dash”h#Œ2.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-bs4dash-2.3.0-r42hc72bb7e_0.conda”h+Œ ccd44ad2f0f49a3b5d0d9dd68c644592”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bs4dash-2.3.0-r42hc72bb7e_0.conda”h0Œ@c701ccb7a5ba2509f08c7e7bbd708fb37a83976bf8aa56f49da8e1ceb2a7f499”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bslib >=0.2.4”Œr-fresh”Œr-htmltools >=0.5.1.1”Œr-httpuv >=1.5.2”Œr-httr”Œr-jsonlite >=0.9.16”Œr-lifecycle”Œr-shiny >=1.6.0”Œr-waiter >=0.2.3”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"î¿¾whEJZ hFˆubh)”}”(hŒr-bslib”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-bslib-0.5.0-r41hc72bb7e_0.conda”h+Œ 8cede74e42bfc5b7aade6428b0d7018e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-bslib-0.5.0-r41hc72bb7e_0.conda”h0Œ@570089e2bbf4a1c694455aad4513f7d4d4de6f4f04ca3c69dda8b58acdcc0e12”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-cachem”Œr-htmltools >=0.5.4”Œr-jquerylib >=0.1.3”Œ
r-jsonlite”Œr-memoise >=2.0.1”Œr-mime”Œr-rlang”Œr-sass >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ Î<vùÛhEJHA hFˆubh)”}”(hŒr-bslib”h#Œ0.5.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-bslib-0.5.0-r42hc72bb7e_0.conda”h+Œ 6fd808157cf55f7ad1f52c2d0a09ddd5”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-bslib-0.5.0-r42hc72bb7e_0.conda”h0Œ@07522625cc49d855bc199acac89158f2917a31ace33afe0b62addc7be04b722d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-cachem”Œr-htmltools >=0.5.4”Œr-jquerylib >=0.1.3”Œ
r-jsonlite”Œr-memoise >=2.0.1”Œr-mime”Œr-rlang”Œr-sass >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ Î<ë¥ãhEJb±A hFˆubh)”}”(hŒr-bslib”h#Œ0.5.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-bslib-0.5.0-r42hc72bb7e_1.conda”h+Œ ba645ac2dfa1196e7dbfa4db3419b860”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-bslib-0.5.0-r42hc72bb7e_1.conda”h0Œ@dc5590ea668ac5b563b2f6dd77ce5466816d994623871f24a2abaa61ce8c3edc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-cachem”Œr-htmltools >=0.5.4”Œr-jquerylib >=0.1.3”Œ
r-jsonlite”Œr-memoise >=2.0.1”Œr-mime”Œr-rlang”Œr-sass >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Š-JhEJþgA hFˆubh)”}”(hŒr-bslib”h#Œ0.5.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-bslib-0.5.0-r43hc72bb7e_1.conda”h+Œ a6ffbaecef23e10c2a17a2ab62188c42”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-bslib-0.5.0-r43hc72bb7e_1.conda”h0Œ@79407ac57cabb6f95543b23a4c6446444d740f3b90168f4c84ce2d080f8d1d31”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc”Œr-cachem”Œr-htmltools >=0.5.4”Œr-jquerylib >=0.1.3”Œ
r-jsonlite”Œr-memoise >=2.0.1”Œr-mime”Œr-rlang”Œr-sass >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Š5Ò=qhEJÙEA hFˆubh)”}”(hŒ	r-butcher”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-butcher-0.3.2-r41hc72bb7e_0.conda”h+Œ 02f211859f044030b2d22ed86e4a9232”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-butcher-0.3.2-r41hc72bb7e_0.conda”h0Œ@f00574b68120546681e667803a361d8b0049c0a2d4bbb1c29d2f67ee3b66d1df”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fs”Œr-lobstr >=1.1.1”Œr-modeldata”Œr-purrr”Œr-rlang”Œr-tibble >=2.1.1”Œr-usethis >=1.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙrÅ¡ËhEJâ hFˆubh)”}”(hŒ	r-butcher”h#Œ0.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-butcher-0.3.2-r42hc72bb7e_0.conda”h+Œ dcb8fb3e09fa0dc15298f4bc34cba9b0”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-butcher-0.3.2-r42hc72bb7e_0.conda”h0Œ@73f8a7e2c423193585b3e71ddc3bb3ef3b0845192562e0283822cd0d8e22d9b8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fs”Œr-lobstr >=1.1.1”Œr-modeldata”Œr-purrr”Œr-rlang”Œr-tibble >=2.1.1”Œr-usethis >=1.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ}xbhEJT	 hFˆubh)”}”(hŒ	r-butcher”h#Œ0.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-butcher-0.3.2-r42hc72bb7e_1.conda”h+Œ e006452651fd1fa9a6e90fc107e37ddb”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-butcher-0.3.2-r42hc72bb7e_1.conda”h0Œ@82eb4710a0c8bb17c4411e53b122cac830ed6f6ba9b401e51d7acb23d8b00350”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fs”Œr-lobstr >=1.1.1”Œr-modeldata”Œr-purrr”Œr-rlang”Œr-tibble >=2.1.1”Œr-usethis >=1.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ßÉÈƒhEJË hFˆubh)”}”(hŒ	r-butcher”h#Œ0.3.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-butcher-0.3.2-r43hc72bb7e_1.conda”h+Œ 6ffb7569edcaea7832823a5834c16245”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-butcher-0.3.2-r43hc72bb7e_1.conda”h0Œ@e313a0dad71cb2e0603885ed6d4d82683eeca21d3ee09daeacb04a7822e0e9f5”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-fs”Œr-lobstr >=1.1.1”Œr-modeldata”Œr-purrr”Œr-rlang”Œr-tibble >=2.1.1”Œr-usethis >=1.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ßÉé&éhEJo hFˆubh)”}”(hŒr-ca”h#Œ0.71.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒr-ca-0.71.1-r42hc72bb7e_3.conda”h+Œ f2313462287357c1a3bfbc41ac0a0b61”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ca-0.71.1-r42hc72bb7e_3.conda”h0Œ@d27533d5eb0d934c7cc57fe767e00f19ae154c56ad18d3f17df44734b3b355bc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ÀF§ðhEJdå hFˆubh)”}”(hŒr-ca”h#Œ0.71.1”h%Œr43hc72bb7e_3”h'Khhh(h)hŒr-ca-0.71.1-r43hc72bb7e_3.conda”h+Œ d34280b3de6ad154ed264295ea8ab35d”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ca-0.71.1-r43hc72bb7e_3.conda”h0Œ@8975f11b5c5e133e9dd443150204e902f192892d5804e23f18f5260ab5b35c59”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"À‚ohEJrä hFˆubh)”}”(hŒ	r-calendr”h#Œ1.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ!r-calendr-1.1-r41h785f33e_0.conda”h+Œ a2cab11c830f48b0df43a1dfea7cfcee”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-calendr-1.1-r41h785f33e_0.conda”h0Œ@cd17b05d3fbd45ecaab10972a2838f289b22e8b4191a1f07a6dedcd8797d68c6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-forcats”Œr-gggibbous”Œ	r-ggimage”Œ	r-ggplot2”Œ	r-suncalc”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØáoðÃohEM”ÑhFˆubh)”}”(hŒ	r-calendr”h#Œ1.1”h%Œr42h785f33e_0”h'K hhh(h)hŒ!r-calendr-1.1-r42h785f33e_0.conda”h+Œ 595f5e5b8ebacaab30eb70fa722893ee”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-calendr-1.1-r42h785f33e_0.conda”h0Œ@82d863d4555a2659d80cf63ae2a02deb51eba00ef0fe2e8eec57a7a6e9c31297”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-forcats”Œr-gggibbous”Œ	r-ggimage”Œ	r-ggplot2”Œ	r-suncalc”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØáoç ƒhEMÄÑhFˆubh)”}”(hŒr-calf”h#Œ1.0.17”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-calf-1.0.17-r41hc72bb7e_0.conda”h+Œ dbed57b5d3e3908beffa3998d048c43b”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-calf-1.0.17-r41hc72bb7e_0.conda”h0Œ@2cb9188b830fe8c471cafd7a6d020105513ef837fd1cad4b13b8d37372ee09f5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØæh„×
hEJãë hFˆubh)”}”(hŒr-calf”h#Œ1.0.17”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-calf-1.0.17-r42hc72bb7e_0.conda”h+Œ 2fc10e3163c7b7cf2b99c19ff8355ff1”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-calf-1.0.17-r42hc72bb7e_0.conda”h0Œ@abf4ef13a1065f90323a3c77af4fdaeb7de6a6c98c2a00a1aa22cab8724ede18”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œ	r-ggplot2”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØæhŸ|îhEJñí hFˆubh)”}”(hŒr-callr”h#Œ3.7.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-callr-3.7.3-r42hc72bb7e_1.conda”h+Œ cbe19582474c1673f281c272c7748b80”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-callr-3.7.3-r42hc72bb7e_1.conda”h0Œ@378b8a59c1400804db1f3fd5d6a4ab68ccc63dcdb635bbec33f0f4d1d32561ba”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-processx >=3.4.0”Œr-r6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"GØ­²-hEJlV hFˆubh)”}”(hŒr-callr”h#Œ3.7.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-callr-3.7.3-r43hc72bb7e_1.conda”h+Œ b5e467a3f2456adaec9d8808afcb8bc1”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-callr-3.7.3-r43hc72bb7e_1.conda”h0Œ@d5e65c7d149d7485d56cefc164166b251cbfd03a36faebec729f2770c32b2f58”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-processx >=3.4.0”Œr-r6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"GÑH£×hEJ] hFˆubh)”}”(hŒr-car”h#Œ3.1_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-car-3.1_2-r41hc72bb7e_0.conda”h+Œ e6e2964d4eddd1c4ebd720bbb262d027”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-car-3.1_2-r41hc72bb7e_0.conda”h0Œ@003bb19190b6cd199ee474ffab8fd68258902dba0bc023568534cfb019406468”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-cardata >=3.0_0”Œr-lme4”Œ
r-maptools”Œr-mass”Œr-mgcv”Œr-nlme”Œr-nnet”Œr-pbkrtest >=0.4_4”Œ
r-quantreg”Œr-rio”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ	]ALÝ/hEJ,$ hFˆubh)”}”(hŒr-car”h#Œ3.1_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-car-3.1_2-r42hc72bb7e_0.conda”h+Œ c488b3a7bfcace7d51f80285aa3f20c8”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-car-3.1_2-r42hc72bb7e_0.conda”h0Œ@61642ce91bd40cc0c4cebe69d4f31a58abb4aacdefe6f522b17c8cbcdc7f5f81”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-cardata >=3.0_0”Œr-lme4”Œ
r-maptools”Œr-mass”Œr-mgcv”Œr-nlme”Œr-nnet”Œr-pbkrtest >=0.4_4”Œ
r-quantreg”Œr-rio”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ	]9çmhEJ:" hFˆubh)”}”(hŒ	r-cardata”h#Œ3.0_5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-cardata-3.0_5-r42hc72bb7e_2.conda”h+Œ 109f70e3901dcbde02e9a6426963d0d4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cardata-3.0_5-r42hc72bb7e_2.conda”h0Œ@b43878a6b6a16b0b4460d585dcd52b149a38f6afa4c4d0d9cb3e8ea07a5a2efa”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"	uVhEJ²ô hFˆubh)”}”(hŒ	r-cardata”h#Œ3.0_5”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-cardata-3.0_5-r43hc72bb7e_2.conda”h+Œ 0935bc571d1d2fe5f61e66995c69d228”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cardata-3.0_5-r43hc72bb7e_2.conda”h0Œ@89d57bd8516fb63433fcadfe3b6950a797b7969973dda066c3054e67358afe45”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ")ûçhEJë hFˆubh)”}”(hŒr-caretensemble”h#Œ2.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-caretensemble-2.0.2-r41hc72bb7e_0.conda”h+Œ 97126da859c78766e53f6dc3feb1bf6c”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-caretensemble-2.0.2-r41hc72bb7e_0.conda”h0Œ@e0bd73b6224aa708b2f80ecd7e1ee554c03a57672323fcee1b80bf4275b30901”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-caret”Œr-data.table”Œr-digest”Œ	r-ggplot2”Œr-gridextra”Œ	r-lattice”Œ	r-pbapply”Œr-plyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØù+Œ­ÂhEJV°. hFˆubh)”}”(hŒr-caretensemble”h#Œ2.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-caretensemble-2.0.2-r42hc72bb7e_0.conda”h+Œ 5b83366d54f3a4150ed1287d2ec260a4”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-caretensemble-2.0.2-r42hc72bb7e_0.conda”h0Œ@59b7263ae282343764a4499b8f83951df36ebf64fec346ca414ecbb53b199f27”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-caret”Œr-data.table”Œr-digest”Œ	r-ggplot2”Œr-gridextra”Œ	r-lattice”Œ	r-pbapply”Œr-plyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØù+Èr°hEJÅÂ. hFˆubh)”}”(hŒ	r-carrier”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-carrier-0.1.1-r41hc72bb7e_0.conda”h+Œ d471e296d5957c3c4a8bfe76ebaae88a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-carrier-0.1.1-r41hc72bb7e_0.conda”h0Œ@eca55602db1b8f0c61a623052eeb2a96b856cfd208f4336a19ac46db7b6083f4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-pryr”Œr-rlang >=0.2.2”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙìâ-hEM2¤hFˆubh)”}”(hŒ	r-carrier”h#Œ0.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-carrier-0.1.1-r42hc72bb7e_0.conda”h+Œ 84ac6779354680f136efc4c84a94696c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-carrier-0.1.1-r42hc72bb7e_0.conda”h0Œ@42de87c15ff14452a4880a074667a00047f02f36e233dcabf02907bbb8fbd52b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-pryr”Œr-rlang >=0.2.2”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙè9XhEMÌ£hFˆubh)”}”(hŒ	r-catdata”h#Œ1.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-catdata-1.2.3-r41hc72bb7e_0.conda”h+Œ 0e254bdbc7e37aa62573379c91136fc8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-catdata-1.2.3-r41hc72bb7e_0.conda”h0Œ@da4b8005899d33f0075f0841e9765e3a3e3236ec2579b55eb3fc096be9e7df37”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ4¼¶FhEJ¡;- hFˆubh)”}”(hŒ	r-catdata”h#Œ1.2.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-catdata-1.2.3-r42hc72bb7e_0.conda”h+Œ 86b1c651596f89bc101c0184c450bd1c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-catdata-1.2.3-r42hc72bb7e_0.conda”h0Œ@96aadd1a5a87dbe817cc8c51a1eca10756ea9bbab7fbecc61220c75007754405”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ4¼¡ËhEJ›- hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr42hc72bb7e_1006”h'Mîhhh(h)hŒ)r-cellranger-1.1.0-r42hc72bb7e_1006.conda”h+Œ dc3d9655cb252f807936ebc9904bf13a”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r42hc72bb7e_1006.conda”h0Œ@6fdadfd74b05a087557dd8bbc657d74eacd29bb5039d34649ade44acfded06d6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"„&ÒòhEJ¼ª hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr43hc72bb7e_1006”h'Mîhhh(h)hŒ)r-cellranger-1.1.0-r43hc72bb7e_1006.conda”h+Œ 10e112086717b77f8ce2bb18fd9bf13f”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r43hc72bb7e_1006.conda”h0Œ@a3d33104541a753f4d1aefaa9b62a69be9b660a00e50adee5355353c324b6d33”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"„&ˆA‰hEJ#§ hFˆubh)”}”(hŒ
r-censored”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-censored-0.2.0-r41hc72bb7e_0.conda”h+Œ 1588200bc8a854b12f52bc271d717861”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-censored-0.2.0-r41hc72bb7e_0.conda”h0Œ@5bfa0adf743be2cdd323f7689477b60074ff563f86c086474841d5bbc6572406”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dials”Œr-dplyr >=0.8.0.1”Œ
r-generics”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œr-mboost”Œr-parsnip >=1.1.0”Œr-prettyunits”Œr-purrr”Œr-rlang >=1.0.0”Œr-survival >=3.3_1”Œr-tibble >=3.1.3”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ_³ºMÓhEJÄ hFˆubh)”}”(hŒ
r-censored”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-censored-0.2.0-r42hc72bb7e_0.conda”h+Œ aa2a9bca10df446cfa10633f09e9575d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-censored-0.2.0-r42hc72bb7e_0.conda”h0Œ@ee4ef4fd70a338c698cbb23358567c7ea09610c160cb02eb8946103170c85b0b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dials”Œr-dplyr >=0.8.0.1”Œ
r-generics”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œr-mboost”Œr-parsnip >=1.1.0”Œr-prettyunits”Œr-purrr”Œr-rlang >=1.0.0”Œr-survival >=3.3_1”Œr-tibble >=3.1.3”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ_³ƒ"ÑhEJ´ hFˆubh)”}”(hŒr-chemospec”h#Œ6.1.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-chemospec-6.1.9-r41hc72bb7e_0.conda”h+Œ 1e4188e278033b468809e46faa64cc59”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-chemospec-6.1.9-r41hc72bb7e_0.conda”h0Œ@8b2d57ba81ec66c6687b76a8a650c54dbe97ef08272f66721f0f36c7a987e239”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-chemospecutils >=1.0”Œ	r-ggplot2”Œ
r-magrittr”Œr-patchwork”Œr-plotly”Œr-plyr”Œr-readjdx >=0.6”Œ
r-reshape2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ &`(å`hEJi0 hFˆubh)”}”(hŒr-chemospec”h#Œ6.1.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-chemospec-6.1.9-r42hc72bb7e_0.conda”h+Œ 56b637fb5fd4c967e788bcda5b07a5a0”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-chemospec-6.1.9-r42hc72bb7e_0.conda”h0Œ@b21ff7aaddf7b3e90c9ea9c89f8ffe2b08f850369922aa1bf1baa97484f6a735”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-chemospecutils >=1.0”Œ	r-ggplot2”Œ
r-magrittr”Œr-patchwork”Œr-plotly”Œr-plyr”Œr-readjdx >=0.6”Œ
r-reshape2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ &T\)hEJQy0 hFˆubh)”}”(hŒr-chemospecutils”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-chemospecutils-1.0.3-r41hc72bb7e_0.conda”h+Œ cf3f6753b7d06b5827f4936f2b7435ea”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-chemospecutils-1.0.3-r41hc72bb7e_0.conda”h0Œ@3276db7ab90e22f7875f925e2158cfdef68c7790c18d38c0d5cfdd416bdc84d2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-magrittr”Œr-plotly”Œr-plyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ~ÊÊÁhEJÓ hFˆubh)”}”(hŒr-chemospecutils”h#Œ1.0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-chemospecutils-1.0.3-r42hc72bb7e_0.conda”h+Œ 6fb413b51a72b1f982121d9bc405d3e4”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-chemospecutils-1.0.3-r42hc72bb7e_0.conda”h0Œ@8fb620f97c2a5d24a0fb6391c686585f7a974e0f3977b1a50b809ffd4a684f10”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-magrittr”Œr-plotly”Œr-plyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ~ÈÈå`hEJ.Ô hFˆubh)”}”(hŒr-chk”h#Œ0.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-chk-0.9.0-r41hc72bb7e_0.conda”h+Œ 3aa8c8f6ef628afab9a5944924cf3bdf”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-chk-0.9.0-r41hc72bb7e_0.conda”h0Œ@b012b0bfb5eaf8103001a33f220ffd7a8364a6b92031775fe7e44e7f656b63c8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lifecycle”Œr-rlang”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙkdn{hEJ^E hFˆubh)”}”(hŒr-chk”h#Œ0.9.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-chk-0.9.0-r42hc72bb7e_0.conda”h+Œ cd2144add97983375d6fac6e639a66c2”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-chk-0.9.0-r42hc72bb7e_0.conda”h0Œ@c42e5f7151efcf9140594ab32a448076139e6927ee31ea7fb8f14da35fa70d5b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lifecycle”Œr-rlang”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙkXÜ¼jhEJŒ@ hFˆubh)”}”(hŒr-chk”h#Œ0.9.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-chk-0.9.0-r42hc72bb7e_1.conda”h+Œ a57db16098095ac2d9a993e2da3d498c”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-chk-0.9.0-r42hc72bb7e_1.conda”h0Œ@99ee79d90482f9eaf862c8e7e5658e6c4edf0766bcbbbdf74ea9ea5c247c03d7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lifecycle”Œr-rlang”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#·ž5?hEJ“G hFˆubh)”}”(hŒr-chk”h#Œ0.9.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-chk-0.9.0-r43hc72bb7e_1.conda”h+Œ 69061e0ff58b10dd4ea37426fa1716a3”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-chk-0.9.0-r43hc72bb7e_1.conda”h0Œ@0146be0b350db7d799d9276b5754c671bb47e7747f3adbfc72096ac194a9243d”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-lifecycle”Œr-rlang”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#¶¯ÎÙhEJðJ hFˆubh)”}”(hŒ
r-chromote”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-chromote-0.1.1-r41hc72bb7e_0.conda”h+Œ 38ec145886a5ac98cc626003fd7ece6b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-chromote-0.1.1-r41hc72bb7e_0.conda”h0Œ@13e1b7dcb3077105883b48b26787e7ddb5de58e2e69348d274df1cf9349875d6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl”Œ	r-fastmap”Œ
r-jsonlite”Œr-later >=1.1.0”Œ
r-magrittr”Œ
r-processx”Œr-promises >=1.1.1”Œr-r6”Œr-rlang”Œr-websocket >=1.2.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ	ÁŽþ¸RhEJD® hFˆubh)”}”(hŒ
r-chromote”h#Œ0.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-chromote-0.1.1-r42hc72bb7e_0.conda”h+Œ 637092f2ac0f00a15fe3d5ff4577757a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-chromote-0.1.1-r42hc72bb7e_0.conda”h0Œ@352d0050b152e8faa5ea4b7024686269c66b26a4c6d562515d11e4acf20296a8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œ	r-fastmap”Œ
r-jsonlite”Œr-later >=1.1.0”Œ
r-magrittr”Œ
r-processx”Œr-promises >=1.1.1”Œr-r6”Œr-rlang”Œr-websocket >=1.2.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ	ÁŠ4ýôhEJþ© hFˆubh)”}”(hŒr-chronicler”h#Œ0.2.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ&r-chronicler-0.2.1-r41h785f33e_0.conda”h+Œ eac48e276996de95a2e7f298ec3df340”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-chronicler-0.2.1-r41h785f33e_0.conda”h0Œ@2f6e019997197e3a5af2524e33cc25b9ef1841892c3d8ffd030c0cb5b770b3aa”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clipr”Œ	r-diffobj”Œr-dplyr”Œr-maybe”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ÷\ÚèƒhEJàg hFˆubh)”}”(hŒr-chronicler”h#Œ0.2.1”h%Œr42h785f33e_0”h'K hhh(h)hŒ&r-chronicler-0.2.1-r42h785f33e_0.conda”h+Œ a86173862c70acdef9814b3e80c4ced4”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-chronicler-0.2.1-r42h785f33e_0.conda”h0Œ@acde2189763e8a09ba0ed26c4593916ac7928a19d576ba82c10b199a42a6fa87”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-clipr”Œ	r-diffobj”Œr-dplyr”Œr-maybe”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ÷\àQ™šhEJïf hFˆubh)”}”(hŒ
r-circlize”h#Œ0.4.15”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-circlize-0.4.15-r42hc72bb7e_2.conda”h+Œ 37307630e3c3e275ce032813ea56ef3f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-circlize-0.4.15-r42hc72bb7e_2.conda”h0Œ@6e57cf328d2c7b8717aaa5b642113780748541f71c3d7493b80e113032fa20b6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-globaloptions >=0.1.0”Œr-shape”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#«7;dhEJÁa2 hFˆubh)”}”(hŒ
r-circlize”h#Œ0.4.15”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-circlize-0.4.15-r43hc72bb7e_2.conda”h+Œ d9e9ae5f1cbdf72c1f3fd31d69b205a2”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-circlize-0.4.15-r43hc72bb7e_2.conda”h0Œ@d5789e3dd3a0d8dd6d036307fef34f28af79bc9f0c96b9368b0283952684f78a”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-colorspace”Œr-globaloptions >=0.1.0”Œr-shape”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#¨•ÂhEJ7[2 hFˆubh)”}”(hŒr-circstats”h#Œ0.2_6”h%Œr42hd8ed1ab_1004”h'Mìhhh(h)hŒ(r-circstats-0.2_6-r42hd8ed1ab_1004.conda”h+Œ 5cfecde756c63fcbdb55aa252f66c1c6”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-circstats-0.2_6-r42hd8ed1ab_1004.conda”h0Œ@3ec4e347a575843d86755db59332231262d0b97c5ab4b9eaed854e6a3163a770”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÍOËÆ¨hEJš¿ hFˆubh)”}”(hŒr-circstats”h#Œ0.2_6”h%Œr43hd8ed1ab_1004”h'Mìhhh(h)hŒ(r-circstats-0.2_6-r43hd8ed1ab_1004.conda”h+Œ 27e1de074d423a72dc1e61e80948fcc4”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-circstats-0.2_6-r43hd8ed1ab_1004.conda”h0Œ@396ab256ad3de0d4f400183ad4b9fb7306002604298b2f4684a72c16aa0ce174”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÍT¨r°hEJöº hFˆubh)”}”(hŒ
r-cleanrmd”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-cleanrmd-0.1.1-r41hc72bb7e_0.conda”h+Œ 4e4d25f45668cda74088afcc11dd2bef”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cleanrmd-0.1.1-r41hc72bb7e_0.conda”h0Œ@88edb55076c057deabeecaee682fb1b6a98b2e1cc22481bc8358aa7f62d8a6a5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œ
r-jsonlite”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙü+hEJµÑ hFˆubh)”}”(hŒ
r-cleanrmd”h#Œ0.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-cleanrmd-0.1.1-r42hc72bb7e_0.conda”h+Œ 723cbc006bc17206bd9b19af30e9b10f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cleanrmd-0.1.1-r42hc72bb7e_0.conda”h0Œ@21aaa72bb6a07e3974e0df9ce238bd8a332825cae77153dcdb5fb39fec2455f2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œ
r-jsonlite”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙü€1'hEJŠÓ hFˆubh)”}”(hŒr-climate4r.climdex”h#Œ0.2.2”h%Œr36ha770c72_2”h'Khhh(h)hŒ-r-climate4r.climdex-0.2.2-r36ha770c72_2.conda”h+Œ 849f717722e2afe3eb9f76cfde26edd4”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.climdex-0.2.2-r36ha770c72_2.conda”h0Œ@cd9551cba3a9b65365b459696dfe5afabca309b9ebdf3956a37e29c53a738fdf”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-climdex.pcic >=1.1_6”Œ
r-magrittr”Œr-pcict”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÝÐöffhEJ#ò¡ hFˆubh)”}”(hŒr-climate4r.climdex”h#Œ0.2.2”h%Œr40ha770c72_2”h'Khhh(h)hŒ-r-climate4r.climdex-0.2.2-r40ha770c72_2.conda”h+Œ 36a5cdc7d81dc31d2f4bc2fb351de076”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.climdex-0.2.2-r40ha770c72_2.conda”h0Œ@51fa4038994b3c5d498006293d964111896e74817085a7d3d4686a61d763e231”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-climdex.pcic >=1.1_6”Œ
r-magrittr”Œr-pcict”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!Ý×Û•hEJ”¢ hFˆubh)”}”(hŒr-climate4r.climdex”h#Œ0.2.2”h%Œr41ha770c72_2”h'Khhh(h)hŒ-r-climate4r.climdex-0.2.2-r41ha770c72_2.conda”h+Œ ce8e12ad616d1af1b00458700b5e7df5”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.climdex-0.2.2-r41ha770c72_2.conda”h0Œ@01dffec60c187b40c97b7471da1cdfa62ddf5778814f25a64c1bb527c683b238”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-climdex.pcic >=1.1_6”Œ
r-magrittr”Œr-pcict”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÝÜUOßhEJþ¡ hFˆubh)”}”(hŒr-climate4r.climdex”h#Œ0.2.2”h%Œr42ha770c72_2”h'Khhh(h)hŒ-r-climate4r.climdex-0.2.2-r42ha770c72_2.conda”h+Œ 5ae8c04f43642915f4ebb57cf9f5b172”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.climdex-0.2.2-r42ha770c72_2.conda”h0Œ@417a4ff739cc905f219ac01a4337f289720db5947af190918ce7d8bac4839691”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-climdex.pcic >=1.1_6”Œ
r-magrittr”Œr-pcict”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÝÔ'ÎÙhEJ¿ú¡ hFˆubh)”}”(hŒr-climate4r.indices”h#Œ0.2.0”h%Œr36ha770c72_2”h'Khhh(h)hŒ-r-climate4r.indices-0.2.0-r36ha770c72_2.conda”h+Œ e98b402d59bb9be9127599cf49d47f3e”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.indices-0.2.0-r36ha770c72_2.conda”h0Œ@0151e976e0de0b8989bb562439d8f7fef8fb2ed96d0bbd73df8a1f38f9777f95”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œ
r-convertr”Œ
r-magrittr”Œr-transformer >=1.5.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!×3;C–hEJ£Õ‘ hFˆubh)”}”(hŒr-climate4r.indices”h#Œ0.2.0”h%Œr40ha770c72_2”h'Khhh(h)hŒ-r-climate4r.indices-0.2.0-r40ha770c72_2.conda”h+Œ b4c3afc3252697b6527f494f1f33382d”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.indices-0.2.0-r40ha770c72_2.conda”h0Œ@d14a1c71b74c6d9f8312a1036ca213abf2819deb07c9d8551bcbf3e02e73eb32”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œ
r-convertr”Œ
r-magrittr”Œr-transformer >=1.5.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!×C™‡hEJþÔ‘ hFˆubh)”}”(hŒr-climate4r.indices”h#Œ0.2.0”h%Œr41ha770c72_2”h'Khhh(h)hŒ-r-climate4r.indices-0.2.0-r41ha770c72_2.conda”h+Œ 98e83e38237912a8fe6ef846864c6f17”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.indices-0.2.0-r41ha770c72_2.conda”h0Œ@fd4807251d670aef2529864944df4bfa1f3c1fd2ef11e1665d092fe80f8378ee”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œ
r-convertr”Œ
r-magrittr”Œr-transformer >=1.5.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!Ö—+hEJ!Æ‘ hFˆubh)”}”(hŒr-climate4r.indices”h#Œ0.2.0”h%Œr42ha770c72_2”h'Khhh(h)hŒ-r-climate4r.indices-0.2.0-r42ha770c72_2.conda”h+Œ fc3d3ed8b5f5149e9112ee8d85e7bfc9”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.indices-0.2.0-r42ha770c72_2.conda”h0Œ@a2913e4057af393690d030903e0b7326c80e2a92749ba255f946e9cfbeb60d97”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œ
r-convertr”Œ
r-magrittr”Œr-transformer >=1.5.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!Ö•‘hhEJ†Ç‘ hFˆubh)”}”(hŒr-climate4r.udg”h#Œ0.2.4”h%Œr42ha770c72_3”h'Khhh(h)hŒ)r-climate4r.udg-0.2.4-r42ha770c72_3.conda”h+Œ af3cd5d39d2c47783bf1079efe7e98c9”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-climate4r.udg-0.2.4-r42ha770c72_3.conda”h0Œ@123032e6468ace8630f4fc3a9ec2ff71b933ac610be9ecd498abd6324729965b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-loader.java”Œr-rcurl”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#ÎÛ#hEJ³+ hFˆubh)”}”(hŒr-climate4r.udg”h#Œ0.2.4”h%Œr43ha770c72_3”h'Khhh(h)hŒ)r-climate4r.udg-0.2.4-r43ha770c72_3.conda”h+Œ 1fa53c3a14275422f5d8d5a65dbc09cb”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-climate4r.udg-0.2.4-r43ha770c72_3.conda”h0Œ@ea98c4e30d26d91aa6795452d709871602cc4263dceb28fefbe87024c25296a1”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-loader.java”Œr-rcurl”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#ÕÓ¥ãhEJ½+ hFˆubh)”}”(hŒr-climprojdiags”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-climprojdiags-0.3.2-r41hc72bb7e_0.conda”h+Œ 9922b863cd10035cbb75e3c2edae64a7”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-climprojdiags-0.3.2-r41hc72bb7e_0.conda”h0Œ@87a2993f6b49d195b3b7ee67f75ce13cb9b18bbb03c092157163b23900298405”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-climdex.pcic”Œr-multiapply >=2.0.0”Œr-pcict”Œr-plyr”t”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAÙpì•ÂhEJÏÖ hFˆubh)”}”(hŒr-climprojdiags”h#Œ0.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-climprojdiags-0.3.2-r42hc72bb7e_0.conda”h+Œ 2aa355389d5d66ec5334750cffc8bd0a”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-climprojdiags-0.3.2-r42hc72bb7e_0.conda”h0Œ@347f2a93e4774414ff9d9e70c9c33b7aa8719f189e213e10b7e589a8f9ac4733”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-climdex.pcic”Œr-multiapply >=2.0.0”Œr-pcict”Œr-plyr”t”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAÙpöxÕhEJÜÖ hFˆubh)”}”(hŒr-climprojdiags”h#Œ0.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-climprojdiags-0.3.2-r42hc72bb7e_1.conda”h+Œ 9d1605861342949eedb8f554a57b6e3f”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-climprojdiags-0.3.2-r42hc72bb7e_1.conda”h0Œ@9e7c8af18eaa29106c01f91038eea024269623f294859ba1eee734c9af680665”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-climdex.pcic”Œr-multiapply >=2.0.0”Œr-pcict”Œr-plyr”t”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAÙ"÷ˆêÀƒhEJkÞ hFˆubh)”}”(hŒr-climprojdiags”h#Œ0.3.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ)r-climprojdiags-0.3.2-r43hc72bb7e_1.conda”h+Œ 065411209e21f04d960fa11eb06309e0”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-climprojdiags-0.3.2-r43hc72bb7e_1.conda”h0Œ@f2c1be4afe734958b9169b2b2c5802802d82b6bbd6288cdf3748ef5245a10429”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-climdex.pcic”Œr-multiapply >=2.0.0”Œr-pcict”Œr-plyr”t”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAÙ"÷}>$ÝhEJ§Ú hFˆubh)”}”(hŒr-clipr”h#Œ0.8.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-clipr-0.8.0-r42hc72bb7e_2.conda”h+Œ 63c4dca017822708289fa70d7648ca20”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-clipr-0.8.0-r42hc72bb7e_2.conda”h0Œ@766255ffcdb17ffcd8e39314e462ad5ed0c2dd5b27486c2a4bd146b259668ea0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"sWÛ"ÑhEJ“ hFˆubh)”}”(hŒr-clipr”h#Œ0.8.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-clipr-0.8.0-r43hc72bb7e_2.conda”h+Œ 978856edcd203d1c029dbdd4c7252072”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-clipr-0.8.0-r43hc72bb7e_2.conda”h0Œ@c5bef1c2579e58b4ecd53573dd2f8ce0bff53412ec1a3b3804044340b9e40897”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"sRû÷ÏhEJC hFˆubh)”}”(hŒr-clisymbols”h#Œ1.2.0”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ)r-clisymbols-1.2.0-r42hc72bb7e_1005.conda”h+Œ c5183f26b2957bd8f1c1a7b97dec1ac3”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-clisymbols-1.2.0-r42hc72bb7e_1005.conda”h0Œ@87045ecf6fd962f158f3b4c841024bed3654e918627e455116f2c997a8f35399”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#µó¶hEMbhhFˆubh)”}”(hŒr-clisymbols”h#Œ1.2.0”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ)r-clisymbols-1.2.0-r43hc72bb7e_1005.conda”h+Œ 2c62762e24924d580bbdeece796a3b9f”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-clisymbols-1.2.0-r43hc72bb7e_1005.conda”h0Œ@dc8f98c18038347115f4fa3df7c16f3e19f3e03644a65aefc70ad9ed8da9ce25”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#·D‹DhEM£hhFˆubh)”}”(hŒ	r-cloudos”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-cloudos-0.4.0-r41hc72bb7e_0.conda”h+Œ a635d59ef77d64c649fee354fb66e53d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cloudos-0.4.0-r41hc72bb7e_0.conda”h0Œ@e918a869c932aac76d26d53c559895424e8f7e3463abb1db82f75cfcd53da9d8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œ
r-rappdirs”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ'#âÀƒhEJüó hFˆubh)”}”(hŒ	r-cloudos”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-cloudos-0.4.0-r42hc72bb7e_0.conda”h+Œ ceb9cbdc8ca40e91fa78beaa6ad35001”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cloudos-0.4.0-r42hc72bb7e_0.conda”h0Œ@686854b7c9950cca377e8f88244d79b10fad77bd5a73a870794289b74b23425e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œ
r-rappdirs”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ' Ë33hEJ¥ð hFˆubh)”}”(hŒr-clustergeneration”h#Œ1.3.7”h%Œr42ha770c72_2”h'Khhh(h)hŒ-r-clustergeneration-1.3.7-r42ha770c72_2.conda”h+Œ dd5c201e30a18e48aa4a15311accca30”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-clustergeneration-1.3.7-r42ha770c72_2.conda”h0Œ@db79dc855b2ae3c5e5e28e7a7e5fba732119a52e748ea618749824af221a478a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ß™IºhEJöU hFˆubh)”}”(hŒr-clustergeneration”h#Œ1.3.7”h%Œr43ha770c72_2”h'Khhh(h)hŒ-r-clustergeneration-1.3.7-r43ha770c72_2.conda”h+Œ d15caf93fa3b51a06d6ccd7a0d6b0de5”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-clustergeneration-1.3.7-r43ha770c72_2.conda”h0Œ@e0d036dd9d322d060b86b615294bbed1fefa019349e6aab7db7bb4395385c011”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ß—â^5hEJáV hFˆubh)”}”(hŒr-clustmixtype”h#Œ0.3_9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-clustmixtype-0.3_9-r41hc72bb7e_0.conda”h+Œ 3067e6c7ea036c806e4a82261ef48b09”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-clustmixtype-0.3_9-r41hc72bb7e_0.conda”h0Œ@386f855a57a4740bf1c0f7efe91debbc5b7b67a43d7bd8d78d3f64fe8ad5f0af”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rcolorbrewer”Œr-tibble”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙé‰ hEJZ hFˆubh)”}”(hŒr-clustmixtype”h#Œ0.3_9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-clustmixtype-0.3_9-r42hc72bb7e_0.conda”h+Œ 7315fab25f1d60a0b4b576333b49b615”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-clustmixtype-0.3_9-r42hc72bb7e_0.conda”h0Œ@98a9fe814f2090aa2e222c59088baf2c47990963f764de12488fd9f0779336a1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rcolorbrewer”Œr-tibble”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙéŠéÊÁhEJ.Y hFˆubh)”}”(hŒr-cmls”h#Œ1.0_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-cmls-1.0_1-r41hc72bb7e_0.conda”h+Œ a029c9975a728194ed787a582c633220”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cmls-1.0_1-r41hc72bb7e_0.conda”h0Œ@5909e57f88ff2af892380ef87a976b5857d1da9ed07ffa93053f2afd073102dc”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ	Ð¯M`BhEJÂ hFˆubh)”}”(hŒr-cmls”h#Œ1.0_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-cmls-1.0_1-r42hc72bb7e_0.conda”h+Œ bf584259c8dcfa639dea989004bf02c5”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cmls-1.0_1-r42hc72bb7e_0.conda”h0Œ@49e8a216f56f69a907b8afae33ae6807fc5a5b4449e8e8232f446e3a56236f9c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ	Ð·è ÅhEJŸ~ hFˆubh)”}”(hŒr-cmplot”h#Œ4.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-cmplot-4.3.1-r41hc72bb7e_0.conda”h+Œ 1fca8f578355d9d167ea715be385b89c”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-cmplot-4.3.1-r41hc72bb7e_0.conda”h0Œ@51737226d1c645caf7b491ebcb7915429c40a6b601e4cf6a3a07a0aef7a4823f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙžÝ?}hEJÀ¸ hFˆubh)”}”(hŒr-cmplot”h#Œ4.3.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-cmplot-4.3.1-r42hc72bb7e_0.conda”h+Œ 770b389a9b8de3fb165b49dbc2501892”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-cmplot-4.3.1-r42hc72bb7e_0.conda”h0Œ@861ecd5c85f2456e0193c024a18ed9b7c6e9d91b060a757f8d7c6634f4201557”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙùoß;hEJæº hFˆubh)”}”(hŒr-cmprskcoxmsm”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-cmprskcoxmsm-0.2.1-r41hc72bb7e_0.conda”h+Œ 575f6d11a88e72c9aac7442991254aef”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cmprskcoxmsm-0.2.1-r41hc72bb7e_0.conda”h0Œ@75d1b3704c9798fb055d906e212887ecc58d0478879dd01dbf611820ce4da9fb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-sandwich”Œ
r-survival”Œr-twang”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙRª”ÌÍhEJœÖ hFˆubh)”}”(hŒr-cmprskcoxmsm”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-cmprskcoxmsm-0.2.1-r42hc72bb7e_0.conda”h+Œ 0b3d64d6e86a4ccb361fc614999d8d6d”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cmprskcoxmsm-0.2.1-r42hc72bb7e_0.conda”•      h0Œ@5f57569d94d2542ad6bef20a625f0a9dec800fa27aebecdaaf4849cda4a2b447”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ
r-sandwich”Œ
r-survival”Œr-twang”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙR´,Ý/hEJ^Õ hFˆubh)”}”(hŒr-cnorm”h#Œ3.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-cnorm-3.0.3-r41hc72bb7e_0.conda”h+Œ e5e18a402b1921e8a83e097b4ad0d2c2”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-cnorm-3.0.3-r41hc72bb7e_0.conda”h0Œ@74d46141613a999657bc32baffebe309e0a975d180ee96fdc7c5dbe10badda7c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-lattice >=0.20”Œr-latticeextra >=0.6”Œr-leaps >=3.0”t”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAÙî@ž$ÝhEJAP hFˆubh)”}”(hŒr-cnorm”h#Œ3.0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-cnorm-3.0.3-r42hc72bb7e_0.conda”h+Œ 8e51c38841a54fb5f1a4e5af536398ee”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-cnorm-3.0.3-r42hc72bb7e_0.conda”h0Œ@ec8d0bac0698807eecc12db5129381db4d716c3eb0eb4091ac18e80b72f4997b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-lattice >=0.20”Œr-latticeextra >=0.6”Œr-leaps >=3.0”t”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAÙî5×l‹hEJRL hFˆubh)”}”(hŒr-cocor”h#Œ1.1_4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-cocor-1.1_4-r42hc72bb7e_2.conda”h+Œ 7c3ad9e38e4d1e20574740a14dbe06d9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-cocor-1.1_4-r42hc72bb7e_2.conda”h0Œ@d356bda2503098cc46d42dc3216cd008a05f855cef74ae69d33cd3ad58b1d3f0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#¤ÀƒhEJ ¤ hFˆubh)”}”(hŒr-cocor”h#Œ1.1_4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-cocor-1.1_4-r43hc72bb7e_2.conda”h+Œ 2e4094687e0110afb8947b19f9b96a14”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-cocor-1.1_4-r43hc72bb7e_2.conda”h0Œ@c161bea169fb9ad16cb10a3eda54311cdb4b563bc36d8da2494e96702b05d499”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#•\›¦hEJåÃ hFˆubh)”}”(hŒr-coda”h#Œ0.19_4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-coda-0.19_4-r42hc72bb7e_2.conda”h+Œ 5e2556c9745bcc239e7a4f2c3c736fd5”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-coda-0.19_4-r42hc72bb7e_2.conda”h0Œ@74e6fd40f60d6f33d287f9a8cf80e9b24d7fecfc7d0fa6135da0293de534d229”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"~r²°!hEJH hFˆubh)”}”(hŒr-coda”h#Œ0.19_4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-coda-0.19_4-r43hc72bb7e_2.conda”h+Œ 46b64122aafa9026fcc1a769ad00774b”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-coda-0.19_4-r43hc72bb7e_2.conda”h0Œ@666e94a8ecc33604a37f771e829dda24678efd212fbc828034453ee0784a9b2e”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-lattice”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"~[yXhEJO hFˆubh)”}”(hŒr-codetools”h#Œ0.2_19”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-codetools-0.2_19-r41hc72bb7e_0.conda”h+Œ 401ac0ee6310d69deac481b2d2148458”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-codetools-0.2_19-r41hc72bb7e_0.conda”h0Œ@96aa7f1f7651ebc6c3349064574714a39115f97965aac9f6a4598d4065ff51b1”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØö±çbhEJ»¦ hFˆubh)”}”(hŒr-codetools”h#Œ0.2_19”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-codetools-0.2_19-r42hc72bb7e_0.conda”h+Œ f6cc72c2b1ed4aa66be1751eeee83a41”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-codetools-0.2_19-r42hc72bb7e_0.conda”h0Œ@f5ade899e10923bf7b36eced8d690000fa054cb31f116092fa781df03cf4a051”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØö±àá©ühEJ8¦ hFˆubh)”}”(hŒr-codetools”h#Œ0.2_19”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-codetools-0.2_19-r42hc72bb7e_1.conda”h+Œ ab3b9c9eaa1aeba869350405541a28ab”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-codetools-0.2_19-r42hc72bb7e_1.conda”h0Œ@8e411ae6bebb2f3522e567ea1cc55cb9caf5568e841d741770043be0b0392323”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"GÖ½VhEJÅ§ hFˆubh)”}”(hŒr-codetools”h#Œ0.2_19”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-codetools-0.2_19-r43hc72bb7e_1.conda”h+Œ 9f1bc4f7082065d09b0a7031bb82890b”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-codetools-0.2_19-r43hc72bb7e_1.conda”h0Œ@18b3a82dfa0ddc31381902a35bfdd14c52f0027c14f2b68cd4708da98d4dfa99”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"GÝ—ß;hEJ}§ hFˆubh)”}”(hŒr-coloc”h#Œ5.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-coloc-5.2.2-r41hc72bb7e_0.conda”h+Œ 81b2fc898d812a1635fafae18d613b3c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-coloc-5.2.2-r41hc72bb7e_0.conda”h0Œ@73952b22c057a6ff23b73aaf368ae986a6a087655bf069873e670fc5d4215000”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”Œr-susier >=0.12.06”Œ	r-viridis”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙã$,¬hEJ&Î8 hFˆubh)”}”(hŒr-coloc”h#Œ5.2.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-coloc-5.2.2-r42hc72bb7e_0.conda”h+Œ b19f55b3104058d571c26180ffcc0e78”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-coloc-5.2.2-r42hc72bb7e_0.conda”h0Œ@2aa3e224c41f638eb640dbaf2834377b802a9088fce1d0d7b057d95390a0c8f6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œ	r-ggplot2”Œr-susier >=0.12.06”Œ	r-viridis”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙã$Ý/hEJEí8 hFˆubh)”}”(hŒr-colourpicker”h#Œ1.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-colourpicker-1.2.0-r42hc72bb7e_1.conda”h+Œ 3a9dd9973aaab01413da89d5594ba2f0”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-colourpicker-1.2.0-r42hc72bb7e_1.conda”h0Œ@32542c671d6442ebc42bee55530e4f484b17d5b32c390f80f3973b37331678a9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-htmltools”Œr-htmlwidgets >=0.7”Œ
r-jsonlite”Œr-miniui >=0.1.1”Œr-shiny >=0.11.1”Œr-shinyjs >=2.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¹‰	‡hEJ=· hFˆubh)”}”(hŒr-colourpicker”h#Œ1.2.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-colourpicker-1.2.0-r43hc72bb7e_1.conda”h+Œ df582fa091a54a013adfb5c484fd9328”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-colourpicker-1.2.0-r43hc72bb7e_1.conda”h0Œ@1792134a7876fdb85c149a41b230275deb03a5253b670fac8f8612c19952a378”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-ggplot2”Œr-htmltools”Œr-htmlwidgets >=0.7”Œ
r-jsonlite”Œr-miniui >=0.1.1”Œr-shiny >=0.11.1”Œr-shinyjs >=2.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¹pÁ‡hEJ­¼ hFˆubh)”}”(hŒ
r-combinat”h#Œ0.0_8”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ'r-combinat-0.0_8-r42hc72bb7e_1005.conda”h+Œ 8042f4802857cd6b033044a78f797491”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-combinat-0.0_8-r42hc72bb7e_1005.conda”h0Œ@19c22526faf8245530a4a315b44972ce29dff874debab7020acfd8e7f5b2ad6c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ž(pÄœhEM•ÔhFˆubh)”}”(hŒ
r-combinat”h#Œ0.0_8”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ'r-combinat-0.0_8-r43hc72bb7e_1005.conda”h+Œ 21a3b5581706cd4a1ef03c62a2f1fd37”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-combinat-0.0_8-r43hc72bb7e_1005.conda”h0Œ@ac87949a83fca2a867c03e9b876ab638415ccaac20d075c78aa4482f1c482c0e”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ž3ˆr°hEMƒÕhFˆubh)”}”(hŒr-comorbidity”h#Œ1.0.7”h%Œr41h785f33e_0”h'K hhh(h)hŒ'r-comorbidity-1.0.7-r41h785f33e_0.conda”h+Œ 05506cf06d4d0d46d196b7f8f0e8a93a”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-comorbidity-1.0.7-r41h785f33e_0.conda”h0Œ@a180f85a64a62e4e3685cdec67c9adda3bf5315c2b7c89e1a5ec6222be480928”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"w+hEJ>' hFˆubh)”}”(hŒr-comorbidity”h#Œ1.0.7”h%Œr42h785f33e_0”h'K hhh(h)hŒ'r-comorbidity-1.0.7-r42h785f33e_0.conda”h+Œ b85d643655faa5e4d8355a36a88a2ceb”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-comorbidity-1.0.7-r42h785f33e_0.conda”h0Œ@31489fb8a7fb55f05d3c59a5f5d6872397002ab5ed51862550a620ce8ea53d9e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ'“SøhEJÄ' hFˆubh)”}”(hŒr-comparegroups”h#Œ4.7.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-comparegroups-4.7.0-r41hc72bb7e_0.conda”h+Œ 4cb76fd237952b283f7c46abaac1c1a8”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-comparegroups-4.7.0-r41hc72bb7e_0.conda”h0Œ@aabe48e2ee77befb80ab6d0f7888308a7431d38b0ea4af5fcf2d28f269d37ce3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-chron”Œr-flextable”Œr-hardyweinberg”Œr-kableextra”Œr-knitr”Œ	r-officer”Œr-rmarkdown”Œ
r-snpassoc”Œ
r-survival”Œ	r-writexl”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAÙ”\YG®hEJ–1 hFˆubh)”}”(hŒr-comparegroups”h#Œ4.7.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-comparegroups-4.7.0-r42hc72bb7e_0.conda”h+Œ aacfb84eac167971154c8caecd0610fe”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-comparegroups-4.7.0-r42hc72bb7e_0.conda”h0Œ@02d45dc560b842d112fafe1d484bd4455124430a132582bae318307a34049969”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-chron”Œr-flextable”Œr-hardyweinberg”Œr-kableextra”Œr-knitr”Œ	r-officer”Œr-rmarkdown”Œ
r-snpassoc”Œ
r-survival”Œ	r-writexl”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAÙ”M™XhEJâ1 hFˆubh)”}”(hŒr-condformat”h#Œ0.10.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-condformat-0.10.0-r41hc72bb7e_0.conda”h+Œ 38bfac08d9a8567c6488d7fdf2992585”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-condformat-0.10.0-r41hc72bb7e_0.conda”h0Œ@e6397ac10cc11cd8574c081beacf47af4d10e3127fcb1fd372dbbb5925c8e119”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.7”Œr-gridextra >=2.3”Œr-gtable >=0.2.0”Œr-htmltable >=1.9”Œr-htmltools >=0.3.6”Œr-knitr >=1.20”Œr-magrittr >=1.5”Œr-openxlsx >=4.1.5”Œr-rlang >=0.3.0”Œr-rmarkdown >=1.10”Œr-scales >=1.0.0”Œr-tibble >=1.3.4”Œr-tidyselect >=1.0.0”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØàŒn‘Û#hEJ^o hFˆubh)”}”(hŒr-condformat”h#Œ0.10.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-condformat-0.10.0-r42hc72bb7e_0.conda”h+Œ 1da9d643939b5c924203d395cffd9420”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-condformat-0.10.0-r42hc72bb7e_0.conda”h0Œ@c1189cf9211bebc9a921bf532db8e6cd5c1ebb3d04ee7cc2385b9c65099be678”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.7”Œr-gridextra >=2.3”Œr-gtable >=0.2.0”Œr-htmltable >=1.9”Œr-htmltools >=0.3.6”Œr-knitr >=1.20”Œr-magrittr >=1.5”Œr-openxlsx >=4.1.5”Œr-rlang >=0.3.0”Œr-rmarkdown >=1.10”Œr-scales >=1.0.0”Œr-tibble >=1.3.4”Œr-tidyselect >=1.0.0”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØàŒ}›¶FhEJúl hFˆubh)”}”(hŒr-conditionz”h#Œ0.1.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ&r-conditionz-0.1.0-r42hc72bb7e_3.conda”h+Œ 3d6bd751406f86eb5a133f236b5e1d83”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-conditionz-0.1.0-r42hc72bb7e_3.conda”h0Œ@9bff525a0eb4ac937337adac7a1ecb1d6da60c3f9322bc4c176f40c239c48c50”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r6”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Æ‡ã×
hEMþhFˆubh)”}”(hŒr-conditionz”h#Œ0.1.0”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ&r-conditionz-0.1.0-r43hc72bb7e_3.conda”h+Œ 59f8f454b0e4045ef9e81bcc255b222d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-conditionz-0.1.0-r43hc72bb7e_3.conda”h0Œ@023fc44390db3860238f3893e711d02ea71f3034e0878639a7a8e018fed9a65c”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-r6”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Æ‡:=qhEM¶øhFˆubh)”}”(hŒr-config”h#Œ0.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-config-0.3.1-r42hc72bb7e_2.conda”h+Œ dcc5e27094d02309825f5267c3838170”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-config-0.3.1-r42hc72bb7e_2.conda”h0Œ@eb7d85f1a855254519bfe17065b56d72c2ca823bb67e17aab7225eb955a9f719”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-yaml >=2.1.13”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¬5OßhEJ2x hFˆubh)”}”(hŒr-config”h#Œ0.3.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-config-0.3.1-r43hc72bb7e_2.conda”h+Œ c20b10c0e15551bf920faec120faa9b0”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-config-0.3.1-r43hc72bb7e_2.conda”h0Œ@ef1c13a1a946db54746948970f83b242073fe83095cb8a0b0344a9847a0d32cf”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-yaml >=2.1.13”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¬-GKÇhEJóv hFˆubh)”}”(hŒ
r-confintr”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-confintr-1.0.2-r41hc72bb7e_0.conda”h+Œ 0448d6b30880988881bb448c5bde13be”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-confintr-1.0.2-r41hc72bb7e_0.conda”h0Œ@c545435850803fc0a69e19d65d914c2c811d1fa2a714e268fa094982069c7c05”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-boot”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ<-OßhEJŒ¼ hFˆubh)”}”(hŒ
r-confintr”h#Œ1.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-confintr-1.0.2-r42hc72bb7e_0.conda”h+Œ 5d5734a5c60ccccab08c700ab94ec106”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-confintr-1.0.2-r42hc72bb7e_0.conda”h0Œ@faebc801ca3066bbadc05f0e67f4005b4ab1881de7e127058de64a837496e5f8”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ<fÈ´hEJ=º hFˆubh)”}”(hŒr-conflicted”h#Œ1.2.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ&r-conflicted-1.2.0-r41h785f33e_0.conda”h+Œ 05cf654425fc82b6d3858967063cc3cf”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-conflicted-1.2.0-r41h785f33e_0.conda”h0Œ@dcdf99922aaed087aa71f39d0462777320fd9a926c34dc3ad78299353d4ca22d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.4.0”Œ	r-memoise”Œr-rlang >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØö¨ÉÇ|îhEM›öhFˆubh)”}”(hŒr-conflicted”h#Œ1.2.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ&r-conflicted-1.2.0-r42h785f33e_0.conda”h+Œ dc3baa17c40306107676b02c515d2985”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-conflicted-1.2.0-r42h785f33e_0.conda”h0Œ@333f64cfbaa1d555b20f1bb0341dd7e59f95e56ea8913a1f42442221049d6f26”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.4.0”Œ	r-memoise”Œr-rlang >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØö¨ÂÏ hEM™öhFˆubh)”}”(hŒr-conflicted”h#Œ1.2.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ&r-conflicted-1.2.0-r42h785f33e_1.conda”h+Œ 61654b1bafbf82ba3ff5c0a11a886e48”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-conflicted-1.2.0-r42h785f33e_1.conda”h0Œ@edd66ddca3decbde29641893f7981f6108e5bb65e869880f73b897260b2a1e14”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.4.0”Œ	r-memoise”Œr-rlang >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÍSˆå`hEMøhFˆubh)”}”(hŒr-conflicted”h#Œ1.2.0”h%Œr43h785f33e_1”h'Khhh(h)hŒ&r-conflicted-1.2.0-r43h785f33e_1.conda”h+Œ 423e22e6af80f03aa8ad4722d182e59a”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-conflicted-1.2.0-r43h785f33e_1.conda”h0Œ@39e9980f998116fe3025835567a6e0f84a8fe7084c22fd90085780de8c24ebcb”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli >=3.4.0”Œ	r-memoise”Œr-rlang >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÍVÃohEMÐöhFˆubh)”}”(hŒr-coro”h#Œ1.0.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-coro-1.0.3-r42hc72bb7e_2.conda”h+Œ 02b71ac8b57b20c246a202bb304e42ae”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-coro-1.0.3-r42hc72bb7e_2.conda”h0Œ@d42d0828dac045d42e8769067ca17d250ec4d3de2d2c6f489bb80fe0c23ee564”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rlang >=0.4.9”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#z˜ƒhEJ/G hFˆubh)”}”(hŒr-coro”h#Œ1.0.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-coro-1.0.3-r43hc72bb7e_2.conda”h+Œ 87ac0a8fd75514ea1487b334248ba790”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-coro-1.0.3-r43hc72bb7e_2.conda”h0Œ@8575a99106b39bab86cd1577bf1f4230ee720cf3f10fd27bae0e0a7d4569b2f1”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-rlang >=0.4.9”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#|‚^5hEJbF hFˆubh)”}”(hŒ	r-corpcor”h#Œ1.6.10”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-corpcor-1.6.10-r42hc72bb7e_2.conda”h+Œ 5f888b61351b8f4f6c2665089c6ca9fe”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-corpcor-1.6.10-r42hc72bb7e_2.conda”h0Œ@1b50c09a1388ae178732546661d4a94935c31dcb02ecde49eb0d0f3ba2d5e34a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÙ"Š¡5?hEJA hFˆubh)”}”(hŒ	r-corpcor”h#Œ1.6.10”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-corpcor-1.6.10-r43hc72bb7e_2.conda”h+Œ 0107b2ae14a19d7e9b93a7bd34c30b5b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-corpcor-1.6.10-r43hc72bb7e_2.conda”h0Œ@9fd4e912eca48c17067b3a53265b9d90c928ea8488c06f836fde7dbdcfbec60b”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÙ"Š¡ õÃhEJN hFˆubh)”}”(hŒr-correlation”h#Œ0.8.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-correlation-0.8.4-r41hc72bb7e_0.conda”h+Œ fe0d7e5c89f6d98e2b6f4b361f2016d3”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-correlation-0.8.4-r41hc72bb7e_0.conda”h0Œ@bf242e0222576d22d1ad6bb59d308f907899e1c758ee1e4993e188ae8b770964”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayestestr >=0.9.0”Œr-effectsize >=0.4.4”Œr-insight >=0.13.2”Œr-parameters >=0.12.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÙ)2^5hEJ>ð hFˆubh)”}”(hŒr-correlation”h#Œ0.8.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-correlation-0.8.4-r42hc72bb7e_0.conda”h+Œ c0e5a405ad03e0f9f482656dc184b5cd”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-correlation-0.8.4-r42hc72bb7e_0.conda”h0Œ@d6a4841d36f3037a555980afa3a6a3359a0f2ea4c46a7ba7cdda172593cf6071”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.9.0”Œr-effectsize >=0.4.4”Œr-insight >=0.13.2”Œr-parameters >=0.12.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÙ.IºhEJ¥î hFˆubh)”}”(hŒr-correlation”h#Œ0.8.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-correlation-0.8.4-r42hc72bb7e_1.conda”h+Œ c18ad60b20da065266fbd80196ae6471”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-correlation-0.8.4-r42hc72bb7e_1.conda”h0Œ@5f0d2eeb238a275ce9eaa99ef57d19986a2d19b7d43f9193a242f7f87b7f7082”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.9.0”Œr-effectsize >=0.4.4”Œr-insight >=0.13.2”Œr-parameters >=0.12.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"÷xF{hEJ¨í hFˆubh)”}”(hŒr-correlation”h#Œ0.8.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-correlation-0.8.4-r43hc72bb7e_1.conda”h+Œ be121ed86f87280036736fff2626f294”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-correlation-0.8.4-r43hc72bb7e_1.conda”h0Œ@2d9d1b915a7e9b4a61fec7b22ebf04ab3e950e94e215f0f07bfd171f20745c74”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-bayestestr >=0.9.0”Œr-effectsize >=0.4.4”Œr-insight >=0.13.2”Œr-parameters >=0.12.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"÷ƒ"ÑhEJ?ë hFˆubh)”}”(hŒ
r-corrplot”h#Œ0.92”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-corrplot-0.92-r42hc72bb7e_2.conda”h+Œ af8d22b14a614b2d9046cfff376944ac”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-corrplot-0.92-r42hc72bb7e_2.conda”h0Œ@c8d9b74371bde27b98362d4dc1e0f05e27dda3c81addcc92bf9041ed9bd8da25”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ð€ÄœhEJëÔ9 hFˆubh)”}”(hŒ
r-corrplot”h#Œ0.92”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-corrplot-0.92-r43hc72bb7e_2.conda”h+Œ 1786aadd0ee048facdaa424835a95e1b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-corrplot-0.92-r43hc72bb7e_2.conda”h0Œ@cdca94276ee9f5a165980c8cef5d677d1cd0dce0868151cb48841532f4a189b0”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"àsdZhEJ,Í9 hFˆubh)”}”(hŒ	r-cosinor”h#Œ1.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-cosinor-1.2.3-r41hc72bb7e_0.conda”h+Œ 0a2616e14151d217f8e0a96a249dd628”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cosinor-1.2.3-r41hc72bb7e_0.conda”h0Œ@102016b12e3c2fc2b91c58b287abde95b9459fc7916dca6823fd962b720ee83d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-shiny”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ_‹Q‰7hEJ— hFˆubh)”}”(hŒ	r-cosinor”h#Œ1.2.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-cosinor-1.2.3-r42hc72bb7e_0.conda”h+Œ 692edd57f99e8c74a24b80388c6f9215”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cosinor-1.2.3-r42hc72bb7e_0.conda”h0Œ@fcb4e0b229543a4fd5e1b22a0e8981f4176f374c2092d71354f6b51190aec986”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-shiny”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ_‚A‰hEJ— hFˆubh)”}”(hŒr-countrycode”h#Œ1.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-countrycode-1.5.0-r41hc72bb7e_0.conda”h+Œ 1f78c6d942f4030af20690fc49aa6965”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-countrycode-1.5.0-r41hc72bb7e_0.conda”h0Œ@59116c71857d0dea1fb8621b2632f6ef23ace81df94ed47d0732df8d6739dc04”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ‹LáHhEJ&— hFˆubh)”}”(hŒr-countrycode”h#Œ1.5.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-countrycode-1.5.0-r42hc72bb7e_0.conda”h+Œ 9bf87d83c899248f158b9703544adf5e”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-countrycode-1.5.0-r42hc72bb7e_0.conda”h0Œ@c5b0ad56da8b45388f65c751d23dc31787cc4db302dc676c8b113ae8355dc35b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ‹RÓSøhEJ*• hFˆubh)”}”(hŒr-countrycode”h#Œ1.5.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-countrycode-1.5.0-r42hc72bb7e_1.conda”h+Œ f153a690cfcf575d96d37aa628c289c3”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-countrycode-1.5.0-r42hc72bb7e_1.conda”h0Œ@d6d12e1f99c9691697406be5f88548c75bace7baa8f58313341201878342144f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#sië…hEJ™ hFˆubh)”}”(hŒr-countrycode”h#Œ1.5.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-countrycode-1.5.0-r43hc72bb7e_1.conda”h+Œ 6c749e5e1e450fb1bb652e75da810d89”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-countrycode-1.5.0-r43hc72bb7e_1.conda”h0Œ@723bcd43df1497b458278c3cac319d7d58f183483a26136932e6607d1d99a156”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#offhEJc— hFˆubh)”}”(hŒ	r-cowplot”h#Œ1.1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-cowplot-1.1.1-r42hc72bb7e_2.conda”h+Œ 695493e93de81c099be6b91b7a0f216c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cowplot-1.1.1-r42hc72bb7e_2.conda”h0Œ@a32bf109a73e22078de17119250c520a0c05317ebab3b2ea008f457302b492f3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >2.2.1”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¤üÔ“hEJ&ø hFˆubh)”}”(hŒ	r-cowplot”h#Œ1.1.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-cowplot-1.1.1-r43hc72bb7e_2.conda”h+Œ cb3f1e47e04778c683cfe0f562d29960”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cowplot-1.1.1-r43hc72bb7e_2.conda”h0Œ@b590e767d1139a855c65b6e1febfd74539872332f020923bce66a11e1af05530”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >2.2.1”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¥¹©ühEJ²÷ hFˆubh)”}”(hŒr-cpp11”h#Œ0.4.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-cpp11-0.4.3-r42hc72bb7e_1.conda”h+Œ f65a3195c5208829bcab099e57f4572a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-cpp11-0.4.3-r42hc72bb7e_1.conda”h0Œ@d80219bf33601a50fc27ee66dd6d089b4b2ccf2d9d0cce5ca082457f3e97eb7d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"0³§PhEJr™ hFˆubh)”}”(hŒr-cpp11”h#Œ0.4.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-cpp11-0.4.3-r43hc72bb7e_1.conda”h+Œ 1be1c98b2c2912f5d1c87281070ea2da”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-cpp11-0.4.3-r43hc72bb7e_1.conda”h0Œ@1f6df9092b77ae36c36666e3144b1289ddf24947b35f3b95393d98b72ba094d3”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"0Ä“hEJT— hFˆubh)”}”(hŒr-crayon”h#Œ1.5.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-crayon-1.5.2-r42hc72bb7e_2.conda”h+Œ 0d77b1723809ebf4c38d2e9efd952904”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-crayon-1.5.2-r42hc72bb7e_2.conda”h0Œ@fce97fb8d08283083e1cc3bafb9b3b022ad79f1255f3a93e9108fd2ac9bcc97e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ût¼hEJF‰ hFˆubh)”}”(hŒr-crayon”h#Œ1.5.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-crayon-1.5.2-r43hc72bb7e_2.conda”h+Œ f13cc355add93ff41ef3d7aeefee247a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-crayon-1.5.2-r43hc72bb7e_2.conda”h0Œ@9852e4e8986cda03b614e98755c494682bd448b069a6597a57777289bc62028b”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"€ÔþhEJ hFˆubh)”}”(hŒr-credentials”h#Œ1.3.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-credentials-1.3.2-r42hc72bb7e_2.conda”h+Œ ae3758684aac8a717222b9dd9e4aaeab”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-credentials-1.3.2-r42hc72bb7e_2.conda”h0Œ@d29a36cab90d790e27f9032baf5ff59de18a7199d61e9313489ef3a98a5b123e”h2NhNh3(Œ	r-askpass”Œr-base >=4.2,<4.3.0a0”Œr-curl”Œ
r-jsonlite”Œr-openssl >=1.3”Œr-sys >=2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"«®~úhEJ² hFˆubh)”}”(hŒr-credentials”h#Œ1.3.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-credentials-1.3.2-r43hc72bb7e_2.conda”h+Œ 3d30f0543a496bff8290818eefb94eca”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-credentials-1.3.2-r43hc72bb7e_2.conda”h0Œ@b3e6699b01391fa69b7c8e7219dba42234914dc52f86788b18d34897e4e585cb”h2NhNh3(Œ	r-askpass”Œr-base >=4.3,<4.4.0a0”Œr-curl”Œ
r-jsonlite”Œr-openssl >=1.3”Œr-sys >=2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"«£ÃhEJ°² hFˆubh)”}”(hŒr-cropcircles”h#Œ0.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-cropcircles-0.2.3-r41hc72bb7e_0.conda”h+Œ f426b4751191d58cbe640a1fe17da335”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-cropcircles-0.2.3-r41hc72bb7e_0.conda”h0Œ@1397d66b327827d0d6318ff78a28e01617f01bf247c1a4846891590f4041a723”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-magick”Œr-purrr”t”h9hºh@ŒMIT”hBŒCC”hDGAÙÀiÒáHhEM,ðhFˆubh)”}”(hŒr-cropcircles”h#Œ0.2.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-cropcircles-0.2.3-r42hc72bb7e_0.conda”h+Œ d028f7699c1170fca045c486f5568f99”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-cropcircles-0.2.3-r42hc72bb7e_0.conda”h0Œ@ebcca8ac1fe7a02d460ccf9ddb46ae59ed13a16aef713cc555e882abb76ccd20”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-glue”Œr-magick”Œr-purrr”t”h9hºh@ŒMIT”hBŒCC”hDGAÙÀ[q‰7hEMæïhFˆubh)”}”(hŒr-crosstalk”h#Œ1.2.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-crosstalk-1.2.0-r42hc72bb7e_2.conda”h+Œ 2fc77073f06032597d2994c51682c774”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-crosstalk-1.2.0-r42hc72bb7e_2.conda”h0Œ@e679add2a15700857ca993d53954ad1bce4d087b15980fddbd8e09917cc98541”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.3.6”Œ
r-jsonlite”Œ
r-lazyeval”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"x @å`hEJõ´ hFˆubh)”}”(hŒr-crosstalk”h#Œ1.2.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-crosstalk-1.2.0-r43hc72bb7e_2.conda”h+Œ 6e5aceac7b23e6bf57befed8cf61a040”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-crosstalk-1.2.0-r43hc72bb7e_2.conda”h0Œ@c27eda5e862b1776616d6b06f6b0b53dcdf72290f56705b41b7fe2febf98b168”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-htmltools >=0.3.6”Œ
r-jsonlite”Œ
r-lazyeval”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"wê˜1'hEJ\° hFˆubh)”}”(hŒr-crul”h#Œ1.4.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ r-crul-1.4.0-r41h785f33e_0.conda”h+Œ 2319a75f3a49c6ef34699a2c53861bd5”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-crul-1.4.0-r41h785f33e_0.conda”h0Œ@b5d3d8afe5b00adcb0260c6d31a6b3398135dc43844f51556c13abfdf9175b48”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl >=3.3”Œr-httpcode >=0.2.0”Œ
r-jsonlite”Œr-mime”Œr-r6 >=2.2.0”Œr-urltools >=1.6.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ2ðQìhEJ`¦	 hFˆubh)”}”(hŒr-crul”h#Œ1.4.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ r-crul-1.4.0-r42h785f33e_0.conda”h+Œ ebc846b0f2f04107856b8655afaac096”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-crul-1.4.0-r42h785f33e_0.conda”h0Œ@bc840ed2a640886153cd3d70c253bd85b52557e0a3606b8e4c40effabaa130ed”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=3.3”Œr-httpcode >=0.2.0”Œ
r-jsonlite”Œr-mime”Œr-r6 >=2.2.0”Œr-urltools >=1.6.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ1ùa©ühEJÁ­	 hFˆubh)”}”(hŒr-crul”h#Œ1.4.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ r-crul-1.4.0-r42h785f33e_1.conda”h+Œ 4f66f2277e42cfce4d23175a2da2be1e”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-crul-1.4.0-r42h785f33e_1.conda”h0Œ@dcaa8d25c03c0f66d280dbc476b978b976d7de8b704cdb3ae27f9ae4e977bb50”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=3.3”Œr-httpcode >=0.2.0”Œ
r-jsonlite”Œr-mime”Œr-r6 >=2.2.0”Œr-urltools >=1.6.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"«šûdZhEJ3«	 hFˆubh)”}”(hŒr-crul”h#Œ1.4.0”h%Œr43h785f33e_1”h'Khhh(h)hŒ r-crul-1.4.0-r43h785f33e_1.conda”h+Œ b74578f3d6edf9932ef97a420d8fe11e”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-crul-1.4.0-r43h785f33e_1.conda”h0Œ@e7a255bc38fa317d12b969dc529d57c3e422bdd4829f7f652019c39f06044946”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-curl >=3.3”Œr-httpcode >=0.2.0”Œ
r-jsonlite”Œr-mime”Œr-r6 >=2.2.0”Œr-urltools >=1.6.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"«”ƒÆ¨hEJj¥	 hFˆubh)”}”(hŒr-ctv”h#Œ0.9_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-ctv-0.9_5-r41hc72bb7e_0.conda”h+Œ c9fef52d8ef0c415035d617adf16ec78”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ctv-0.9_5-r41hc72bb7e_0.conda”h0Œ@15f04b945539fdf08ea399ce0f8f1148565fb8e16464ddcea27b2faa47d1714b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-xml2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙxT8A‰hEJ$µ hFˆubh)”}”(hŒr-ctv”h#Œ0.9_5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-ctv-0.9_5-r42hc72bb7e_0.conda”h+Œ c75b5a383423ef3e250a3fe2f26cf19d”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ctv-0.9_5-r42hc72bb7e_0.conda”h0Œ@8594568e79928535c3271f615ecba12426bcc5a5e8dbc63b95de3ea8143ba03a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-xml2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙxfÊ\hEJ[´ hFˆubh)”}”(hŒr-curry”h#Œ0.1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-curry-0.1.1-r42hc72bb7e_2.conda”h+Œ 8e3671f280b8d3129b1e9bb0f5cbe143”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-curry-0.1.1-r42hc72bb7e_2.conda”h0Œ@8987d732050867ece2849dd46bb6e389c2908c6f91acaab29fb9e073dc6c523d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"÷z¦{hEMshFˆubh)”}”(hŒr-curry”h#Œ0.1.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-curry-0.1.1-r43hc72bb7e_2.conda”h+Œ 6e465f35e8011dcc20d5b92fe90dffbc”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-curry-0.1.1-r43hc72bb7e_2.conda”h0Œ@adcac0635cbd85a6162cc6995025f6ebf032c82a8af575820cf551dfbedad8d0”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"÷{ÕÂhEMÖŽhFˆubh)”}”(hŒr-cvauc”h#Œ1.1.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-cvauc-1.1.4-r42hc72bb7e_2.conda”h+Œ 06f20e0bbca1e63646cb81007013c325”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-cvauc-1.1.4-r42hc72bb7e_2.conda”h0Œ@fa3cea599fd4822bdd28ba299a9a3147ccaa0048f54eb1d28af64f912ab08b1a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-rocr”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"÷‚d(öhEJÁ hFˆubh)”}”(hŒr-cvauc”h#Œ1.1.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-cvauc-1.1.4-r43hc72bb7e_2.conda”h+Œ d732e4101135b22108a626e10ef02a44”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-cvauc-1.1.4-r43hc72bb7e_2.conda”h0Œ@3d86d8806e0f6d21d54f92af9e320f5234d4e0545e4a4b3a80f0a3002773f309”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-data.table”Œr-rocr”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"÷z‹DhEJT hFˆubh)”}”(hŒr-cvms”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-cvms-1.4.1-r42hc72bb7e_0.conda”h+Œ 8ded15087644db90778059b0408b2f80”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cvms-1.4.1-r42hc72bb7e_0.conda”h0Œ@a55f24809b220550226c370012d981767249d1e3bd4dbee611acc6455615a060”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate >=2.0.0”Œr-data.table >=1.12”Œr-dplyr >=0.8.5”Œ	r-ggplot2”Œr-groupdata2 >=2.0.1”Œr-lifecycle”Œr-lme4 >=1.1_23”Œr-mumin >=1.43.17”Œr-parameters >=0.15.0”Œr-plyr”Œr-proc >=1.16.0”Œr-purrr”Œr-rearrr >=0.3.0”Œr-recipes >=0.1.13”Œr-rlang >=0.4.7”Œ	r-stringr”Œr-tibble >=3.0.3”Œr-tidyr >=1.1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ!s'-ÂhEJô³1 hFˆubh)”}”(hŒ	r-cvtools”h#Œ0.3.2”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ&r-cvtools-0.3.2-r42hc72bb7e_1005.conda”h+Œ d8d25ca5beaca05093c31c9b7b52e5e7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cvtools-0.3.2-r42hc72bb7e_1005.conda”h0Œ@d6258f944c8a83edb1dcd37a8ad65ac2354ebd33534f288ae857f68ddc7ec73b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-robustbase”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"÷}‹çmhEJ,W hFˆubh)”}”(hŒ	r-cvtools”h#Œ0.3.2”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ&r-cvtools-0.3.2-r43hc72bb7e_1005.conda”h+Œ bab3789a165fe7fd634fdec8fbada329”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cvtools-0.3.2-r43hc72bb7e_1005.conda”h0Œ@8d08fb7ef5b9c0b9216d43d776e36f98f9d588ae05d3fab387e2f0bfae697ee4”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-lattice”Œr-robustbase”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"÷t>vÉhEJrV hFˆubh)”}”(hŒr-cyclocomp”h#Œ1.1.0”h%Œr42hc72bb7e_1006”h'Mîhhh(h)hŒ(r-cyclocomp-1.1.0-r42hc72bb7e_1006.conda”h+Œ e94837a0c9bb566fc5adb8e806d1fd5b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cyclocomp-1.1.0-r42hc72bb7e_1006.conda”h0Œ@59f66df22872b18ffefcd55fb1b43ed411bae4282f56d4bbf3f12386bf063802”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr”Œr-crayon”Œr-desc”Œ	r-remotes”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"küjhEMWšhFˆubh)”}”(hŒr-cyclocomp”h#Œ1.1.0”h%Œr43hc72bb7e_1006”h'Mîhhh(h)hŒ(r-cyclocomp-1.1.0-r43hc72bb7e_1006.conda”h+Œ 3fe0d7c08d1b03e9abd8eed815288f08”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cyclocomp-1.1.0-r43hc72bb7e_1006.conda”h0Œ@f782de94fb6172c5fdd1dad8e4dbaa8910d21428e488a96178cff31536a6428c”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-callr”Œr-crayon”Œr-desc”Œ	r-remotes”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"jøC¥ãhEMNšhFˆubh)”}”(hŒr-d3r”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-d3r-1.0.1-r41hc72bb7e_0.conda”h+Œ 3e001718e616486250c471d4cc687f29”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-d3r-1.0.1-r41hc72bb7e_0.conda”h0Œ@ae1dc8a69c091c21cc5d5c9608914f4c8cb994de2858b9b7bed545eb09d33ec0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-htmltools”Œr-rlang”Œr-tidyr >=0.8.3”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØøõ[ohEJV hFˆubh)”}”(hŒr-d3r”h#Œ1.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-d3r-1.0.1-r42hc72bb7e_0.conda”h+Œ 7585d46f6e0f619fc640a2901c3de524”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-d3r-1.0.1-r42hc72bb7e_0.conda”h0Œ@e00f2ef474d19656a6dcb1246179e50a350ea26328ecaba852c26643c3c85168”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-htmltools”Œr-rlang”Œr-tidyr >=0.8.3”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØøôYxÕhEJ€ƒ hFˆubh)”}”(hŒr-dalex”h#Œ2.4.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-dalex-2.4.3-r41hc72bb7e_0.conda”h+Œ 60eef075e86eb73bd24195fef854f2e6”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dalex-2.4.3-r41hc72bb7e_0.conda”h0Œ@d39beb959da88eb08b2df43aa22aed49c74569da40cdc422f59d10c3215571fe”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-ibreakdown >=1.3.1”Œr-ingredients >=2.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØñ1Ôn˜hEJ¤! hFˆubh)”}”(hŒr-dalex”h#Œ2.4.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-dalex-2.4.3-r42hc72bb7e_0.conda”h+Œ 2c796cb255264cc2a1a5c1bb98898d28”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dalex-2.4.3-r42hc72bb7e_0.conda”h0Œ@5370b12a34fe2c687249759101ea52173cd1f734cb818c63776d31836f06d389”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-ibreakdown >=1.3.1”Œr-ingredients >=2.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØñ1Ó{ohEJy  hFˆubh)”}”(hŒr-dartr.data”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-dartr.data-1.0.2-r41hc72bb7e_0.conda”h+Œ 891f28aadbc9a17b87d1a632eb9e2b9e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dartr.data-1.0.2-r41hc72bb7e_0.conda”h0Œ@0a0635ec2f1801f8d23866906eeb6e88748e293480a8c09a42e6a2fde3884fac”h2NhNh3Œr-adegenet >=2.0.0”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙÂSÝOßhEJ[ hFˆubh)”}”(hŒr-dartr.data”h#Œ1.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-dartr.data-1.0.2-r42hc72bb7e_0.conda”h+Œ 614c66597c67604afb32e6221e5b60ea”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dartr.data-1.0.2-r42hc72bb7e_0.conda”h0Œ@6dabebf36e83592e14ed6dfdb9239ab5b3d8cd2ecb35be6f4687483c70426e50”h2NhNh3Œr-adegenet >=2.0.0”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙÂN¡ë…hEJ*  hFˆubh)”}”(hŒr-data.validator”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-data.validator-0.2.0-r41hc72bb7e_0.conda”h+Œ 5cdcf02fd85f41eb50290a24c50470c9”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-data.validator-0.2.0-r41hc72bb7e_0.conda”h0Œ@10f86194de85505f922e80c6a866efc7e6145062df65ff1092a83c1fe6fdf6ec”h2NhNh3(Œr-assertr >=2.8”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-purrr”Œr-r6”Œr-rlang”Œr-rmarkdown”Œr-shiny”Œr-shiny.semantic >=0.3.3”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙLvÅ/hEJ10 hFˆubh)”}”(hŒr-data.validator”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-data.validator-0.2.0-r42hc72bb7e_0.conda”h+Œ 049054a8fe5d29f4061f8e8c86df6a21”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-data.validator-0.2.0-r42hc72bb7e_0.conda”h0Œ@a8224052494ae0c476643e38339450dc87c4d5c8762a2a75e8832a1d0303ae3d”h2NhNh3(Œr-assertr >=2.8”Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-purrr”Œr-r6”Œr-rlang”Œr-rmarkdown”Œr-shiny”Œr-shiny.semantic >=0.3.3”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙLl0r°hEJ)$ hFˆubh)”}”(hŒ
r-datamods”h#Œ1.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-datamods-1.4.0-r41hc72bb7e_0.conda”h+Œ 3a9c53e7cff340a0a958c861dc272de3”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-datamods-1.4.0-r41hc72bb7e_0.conda”h0Œ@cf29f8d8ea6205daff1bc125abcbc4e2a10b8aa4fb1a5613f116a9228ea899d8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-htmltools”Œr-htmlwidgets”Œr-phosphoricons”Œr-reactable”Œr-readxl”Œr-rio”Œr-rlang”Œr-shiny >=1.5.0”Œr-shinybusy”Œr-shinywidgets >=0.7.3”Œr-tibble”Œ	r-writexl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØàî,jhEJOX hFˆubh)”}”(hŒ
r-datamods”h#Œ1.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-datamods-1.4.0-r42hc72bb7e_0.conda”h+Œ 3fa2e40ac918979886f6bb7f7393123d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-datamods-1.4.0-r42hc72bb7e_0.conda”h0Œ@0e190b483d9e35e467a50a454b1c46acfb5d848712b585a2c98f0d3b9b215096”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-htmltools”Œr-htmlwidgets”Œr-phosphoricons”Œr-reactable”Œr-readxl”Œr-rio”Œr-rlang”Œr-shiny >=1.5.0”Œr-shinybusy”Œr-shinywidgets >=0.7.3”Œr-tibble”Œ	r-writexl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØàÝ¢=qhEJ9X hFˆubh)”}”(hŒr-datawizard”h#Œ0.7.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-datawizard-0.7.1-r41hc72bb7e_0.conda”h+Œ a4ad7cbb9879703d964f32ea1203a3f5”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-datawizard-0.7.1-r41hc72bb7e_0.conda”h0Œ@1d26d2038866a9e0cbd7624132b0a497946cd072f52ff88f3bfe0f6d63400967”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-insight >=0.14.1”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ/±kdZhEJQñ hFˆubh)”}”(hŒr-datawizard”h#Œ0.7.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-datawizard-0.7.1-r42hc72bb7e_0.conda”h+Œ 3a9b6acfe29a5805ee8e8b89f684bdda”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-datawizard-0.7.1-r42hc72bb7e_0.conda”h0Œ@44f10180b4396240ca77f2fa93d3ab3b739eb68e71d0eb365a800c927fd63235”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-insight >=0.14.1”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ/©g¾whEJ“ê hFˆubh)”}”(hŒr-datawizard”h#Œ0.7.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-datawizard-0.7.1-r42hc72bb7e_1.conda”h+Œ e12f160256ccfadbf3f563c270d7facc”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-datawizard-0.7.1-r42hc72bb7e_1.conda”h0Œ@a45d5d9f5e3b5e31a0b2ae0365d8e1fa50f10b03661a0832d051c03aa71f8623”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-insight >=0.14.1”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"—÷Ó"ÑhEJ´ñ hFˆubh)”}”(hŒr-datawizard”h#Œ0.7.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-datawizard-0.7.1-r43hc72bb7e_1.conda”h+Œ c628f89a30a6429df18bab84b7924825”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-datawizard-0.7.1-r43hc72bb7e_1.conda”h0Œ@90eba5c192294ff1fbfe971ff4bdeac2a92a120f8d728c004c333e7bee890f7e”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-insight >=0.14.1”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"—õš-hEJá hFˆubh)”}”(hŒr-dbi”h#Œ1.1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-dbi-1.1.3-r42hc72bb7e_2.conda”h+Œ 410bbdb9fa78738f3e1df38310414ebc”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-dbi-1.1.3-r42hc72bb7e_2.conda”h0Œ@0542c68cd4d9e416478a8a7e7e428a2c200a2fb5df7aade65d5ebb47fd41d261”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"wæ`BhEJ?á
 hFˆubh)”}”(hŒr-dbi”h#Œ1.1.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-dbi-1.1.3-r43hc72bb7e_2.conda”h+Œ cb5ccf0a37bd538f54e23433d5d544fa”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-dbi-1.1.3-r43hc72bb7e_2.conda”h0Œ@21401b0695e8544e5e539600032a2fe00d53327ddb8d2379a7b7dbcdaef4eba1”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"wç‹çmhEJ  hFˆubh)”}”(hŒr-dbplyr”h#Œ2.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-dbplyr-2.3.2-r41hc72bb7e_0.conda”h+Œ 028fc5bedab964fc666ca9d9e875e7c9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dbplyr-2.3.2-r41hc72bb7e_0.conda”h0Œ@4aacc6190d3f78bc54ee104294394d2a42d5670e03ebd8fc29c8d9ab769af0df”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-blob >=1.2.0”Œr-cli >=3.4.1”Œr-dbi >=1.0.0”Œr-dplyr >=1.1.0”Œr-glue >=1.2.0”Œr-lifecycle >=1.0.3”Œ
r-magrittr”Œr-pillar >=1.5.0”Œr-purrr >=1.0.1”Œr-r6 >=2.2.2”Œr-rlang >=1.0.6”Œr-tibble >=1.4.2”Œr-tidyr >=1.3.0”Œr-tidyselect >=1.2.0”Œr-vctrs >=0.5.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙNQ™šhEJ½Ã hFˆubh)”}”(hŒr-dbplyr”h#Œ2.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-dbplyr-2.3.2-r42hc72bb7e_0.conda”h+Œ 329847288d4fea99bbf6fa7511f25f65”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dbplyr-2.3.2-r42hc72bb7e_0.conda”h0Œ@96c437ab6e79708daec0b1c90cb9b5d728d71f5a9f7d8fb560d900ed543c36dd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-blob >=1.2.0”Œr-cli >=3.4.1”Œr-dbi >=1.0.0”Œr-dplyr >=1.1.0”Œr-glue >=1.2.0”Œr-lifecycle >=1.0.3”Œ
r-magrittr”Œr-pillar >=1.5.0”Œr-purrr >=1.0.1”Œr-r6 >=2.2.2”Œr-rlang >=1.0.6”Œr-tibble >=1.4.2”Œr-tidyr >=1.3.0”Œr-tidyselect >=1.2.0”Œr-vctrs >=0.5.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙPÔ¬hEJOÈ hFˆubh)”}”(hŒr-dbplyr”h#Œ2.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-dbplyr-2.3.2-r42hc72bb7e_1.conda”h+Œ 4347f62d9f0ef2623eb6b5e644cf2cf3”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dbplyr-2.3.2-r42hc72bb7e_1.conda”h0Œ@59c9bee33d94bbbb406169cda2ac9b1ffddc9d9c9bfc11fcdf3eb2ef03e0b5de”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-blob >=1.2.0”Œr-cli >=3.4.1”Œr-dbi >=1.0.0”Œr-dplyr >=1.1.0”Œr-glue >=1.2.0”Œr-lifecycle >=1.0.3”Œ
r-magrittr”Œr-pillar >=1.5.0”Œr-purrr >=1.0.1”Œr-r6 >=2.2.2”Œr-rlang >=1.0.6”Œr-tibble >=1.4.2”Œr-tidyr >=1.3.0”Œr-tidyselect >=1.2.0”Œr-vctrs >=0.5.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"µwÞhEJ°Í hFˆubh)”}”(hŒr-dbplyr”h#Œ2.3.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-dbplyr-2.3.2-r43hc72bb7e_1.conda”h+Œ a8a36357cb48d39b43a3998601d8f67f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dbplyr-2.3.2-r43hc72bb7e_1.conda”h0Œ@bc1c16e6693c04561a2bb2c46493a50547ebd36036f02422a46244586152fdaa”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-blob >=1.2.0”Œr-cli >=3.4.1”Œr-dbi >=1.0.0”Œr-dplyr >=1.1.0”Œr-glue >=1.2.0”Œr-lifecycle >=1.0.3”Œ
r-magrittr”Œr-pillar >=1.5.0”Œr-purrr >=1.0.1”Œr-r6 >=2.2.2”Œr-rlang >=1.0.6”Œr-tibble >=1.4.2”Œr-tidyr >=1.3.0”Œr-tidyselect >=1.2.0”Œr-vctrs >=0.5.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"µˆG®hEJDª hFˆubh)”}”(hŒr-ddpcr”h#Œ1.15.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ddpcr-1.15.1-r41hc72bb7e_0.conda”h+Œ 1f47b91f9eef523eed0757a65e9e3fb2”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ddpcr-1.15.1-r41hc72bb7e_0.conda”h0Œ@ede150b5b420cdf2f9965d48a07ac60063a38925057b1e01814e8b53bf7dcba0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.5.0”Œ
r-dt >=0.2”Œr-ggplot2 >=2.2.0”Œr-lazyeval >=0.1.10”Œr-magrittr >=1.5”Œr-mixtools >=1.0.2”Œr-plyr >=1.8.1”Œr-readr >=0.1.0”Œr-shiny >=0.11.0”Œr-shinydisconnect”Œr-shinyjs >=0.4.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ± 9‰7hEJ. hFˆubh)”}”(hŒr-ddpcr”h#Œ1.15.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ddpcr-1.15.1-r42hc72bb7e_0.conda”h+Œ cb0109450ed97a687ba43a2318ef95c8”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ddpcr-1.15.1-r42hc72bb7e_0.conda”h0Œ@731981748bde923f2f28b7ab25641c2e3408e3536474ddf10f97041486510faf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.5.0”Œ
r-dt >=0.2”Œr-ggplot2 >=2.2.0”Œr-lazyeval >=0.1.10”Œr-magrittr >=1.5”Œr-mixtools >=1.0.2”Œr-plyr >=1.8.1”Œr-readr >=0.1.0”Œr-shiny >=0.11.0”Œr-shinydisconnect”Œr-shinyjs >=0.4.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ°üNéyhEJ‡. hFˆubh)”}”(hŒr-declaredesign”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-declaredesign-1.0.2-r41hc72bb7e_0.conda”h+Œ 90a14a4ecfff1ca9e6ad99ff56da83f5”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-declaredesign-1.0.2-r41hc72bb7e_0.conda”h0Œ@be6fa5dce583c041f5950dfd6e80876afcc60ba71c7939d52e845dc06fb5b53d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-estimatr >=0.20.0”Œr-fabricatr >=0.10.0”Œ
r-generics”Œr-randomizr >=0.20.0”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAØïe|l1hEJY hFˆubh)”}”(hŒr-declaredesign”h#Œ1.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-declaredesign-1.0.2-r42hc72bb7e_0.conda”h+Œ a5660441d7b83577cdbb52f8be28ced0”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-declaredesign-1.0.2-r42hc72bb7e_0.conda”h0Œ@10d1a4852010197c0f90f4263212b8064478b865afddecf209610e7abb4c9fdf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-estimatr >=0.20.0”Œr-fabricatr >=0.10.0”Œ
r-generics”Œr-randomizr >=0.20.0”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAØïe…tZhEJk} hFˆubh)”}”(hŒr-dendextend”h#Œ1.17.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-dendextend-1.17.1-r41hc72bb7e_0.conda”h+Œ a0cf74d1ec8ff79c76cdb8ea870f43b3”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dendextend-1.17.1-r41hc72bb7e_0.conda”h0Œ@9fa13bc087f2e520e1a0f788f4bcb673a439ee882d3278b32e16b026674f528f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-magrittr >=1.0.1”Œ	r-viridis”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ¿Ð( ÅhEJº9 hFˆubh)”}”(hŒr-dendextend”h#Œ1.17.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-dendextend-1.17.1-r42hc72bb7e_0.conda”h+Œ 4626d8575ee76792ac1cd26a2f3fe229”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dendextend-1.17.1-r42hc72bb7e_0.conda”h0Œ@4103b3cc6f53770f492d7d26d0eda5a1226ea5fe95080f1bd3521a5bc482447c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-magrittr >=1.0.1”Œ	r-viridis”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ¿Ðó"ÑhEJ‘T9 hFˆubh)”}”(hŒr-dendextend”h#Œ1.17.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-dendextend-1.17.1-r42hc72bb7e_1.conda”h+Œ dbb48214f5d03abaa6042022371e21ef”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dendextend-1.17.1-r42hc72bb7e_1.conda”h0Œ@1850a901a57a1a4caef6f0da782dd27f5345a7957d19d6970bebb91d91569c76”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-magrittr >=1.0.1”Œ	r-viridis”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÍaL‹DhEJü9 hFˆubh)”}”(hŒr-dendextend”h#Œ1.17.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-dendextend-1.17.1-r43hc72bb7e_1.conda”h+Œ 76d92d2ebcf036cd29564680fe1f6c91”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dendextend-1.17.1-r43hc72bb7e_1.conda”h0Œ@7d4adb872849727baf776cc9b418d44e6205ee020a5d88fcd919d78280ebfbb7”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-ggplot2”Œr-magrittr >=1.0.1”Œ	r-viridis”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÍX$“hEJÊù8 hFˆubh)”}”(hŒ
r-deoptimr”h#Œ1.0_14”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-deoptimr-1.0_14-r41hc72bb7e_0.conda”h+Œ 0a8540318d01352e832350d2ebb67a10”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-deoptimr-1.0_14-r41hc72bb7e_0.conda”h0Œ@3d2a8da62ba5439afc8b50398d6216a9a5298f9d90fa8d01cf9bc63162e0057f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ âµ7l‹hEMñhFˆubh)”}”(hŒ
r-deoptimr”h#Œ1.0_14”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-deoptimr-1.0_14-r42hc72bb7e_0.conda”h+Œ 8445b3d79fc8bfefe8a98952c5cea717”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-deoptimr-1.0_14-r42hc72bb7e_0.conda”h0Œ@85ac969338d98596cdd7a3a93a1835186dda9e98359c4d98289ead3b96a7afc0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ â³c33hEMmñhFˆubh)”}”(hŒ
r-deoptimr”h#Œ1.0_14”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-deoptimr-1.0_14-r42hc72bb7e_1.conda”h+Œ c61036f5d6305b20fa3f76832a01b200”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-deoptimr-1.0_14-r42hc72bb7e_1.conda”h0Œ@37ed4a80db61ca59ea2686a72fc6268d282244efe1ee181b2a2709398ee3a67e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"„zfùÛhEMðhFˆubh)”}”(hŒ
r-deoptimr”h#Œ1.0_14”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-deoptimr-1.0_14-r43hc72bb7e_1.conda”h+Œ ffd572619e5d355a1d3fe6aef9ef6a72”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-deoptimr-1.0_14-r43hc72bb7e_1.conda”h0Œ@af92ddb3812f5c2c33973cfbadac722c97f636d04f63d875a0ac419e4a91f5b1”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"„j©ühEM£ñhFˆubh)”}”(hŒr-deriv”h#Œ4.1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-deriv-4.1.3-r42hc72bb7e_2.conda”h+Œ e3816d16f1c282c17cb02f0716907c21”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-deriv-4.1.3-r42hc72bb7e_2.conda”h0Œ@8fbfad44d732e57094dbdebdf38126761f67586b51502b53f3890a27d39a9d48”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"¹‚1%hEJ† hFˆubh)”}”(hŒr-deriv”h#Œ4.1.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-deriv-4.1.3-r43hc72bb7e_2.conda”h+Œ bbb775886c75561386edefef7a92940c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-deriv-4.1.3-r43hc72bb7e_2.conda”h0Œ@5b9f23098896c270a12c5f7ed3915fd279fc8402ee900e34940d1c29c7221acc”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"¹…Ÿ¾hEJ¡… hFˆubh)”}”(hŒr-desc”h#Œ1.4.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-desc-1.4.2-r42hc72bb7e_2.conda”h+Œ 5b1a0ee7c117c2e7a46319fa3d7c7b47”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-desc-1.4.2-r42hc72bb7e_2.conda”h0Œ@94bf5275a37b7bf864e44d7911d64e080b4086ff7422a83c1b69c4044bdd644c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-r6”Œr-rprojroot”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"BX½¡ËhEJ4 hFˆubh)”}”(hŒr-desc”h#Œ1.4.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-desc-1.4.2-r43hc72bb7e_2.conda”h+Œ f110301831782322add2d4584139befb”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-desc-1.4.2-r43hc72bb7e_2.conda”h0Œ@d7cb33fc79a7cab87cca68cf1d9b03b0240d719d0e063bbd54a844b149d1374f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-r6”Œr-rprojroot”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"BWx ÅhEJæ hFˆubh)”}”(hŒr-dfidx”h#Œ0.0_5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-dfidx-0.0_5-r42hc72bb7e_2.conda”h+Œ 50f2db5ab042bdb5a86d0dab89129142”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dfidx-0.0_5-r42hc72bb7e_2.conda”h0Œ@d3a9af2ba0f00df8ab23e9aed55bbb29b8835a6b0e25555ae71802fa41bb7876”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-formula”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"÷lhshEJKj hFˆubh)”}”(hŒr-dfidx”h#Œ0.0_5”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-dfidx-0.0_5-r43hc72bb7e_2.conda”h+Œ 2252dbbce9a1e2490ca59fd616807084”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dfidx-0.0_5-r43hc72bb7e_2.conda”h0Œ@a943244fe559fc169157c81ac7a9b39c31445697ef20a8133b20caa4d4fd7e68”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-dplyr”Œ	r-formula”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"÷z<ýôhEJ£i hFˆubh)”}”(hŒ	r-diagram”h#Œ1.6.5”h%Œr42ha770c72_2”h'Khhh(h)hŒ#r-diagram-1.6.5-r42ha770c72_2.conda”h+Œ 24f2fc3e2fd6cd099fbc6be9b810bcea”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-diagram-1.6.5-r42ha770c72_2.conda”h0Œ@0d20717024cbe5b75c9f9a524860047f87bf2f26a55f5139b6fba089180f907d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-shape”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"~41hEJæ;
 hFˆubh)”}”(hŒ	r-diagram”h#Œ1.6.5”h%Œr43ha770c72_2”h'Khhh(h)hŒ#r-diagram-1.6.5-r43ha770c72_2.conda”h+Œ 29a9f300f7ccca4b06eb8c3562bf78d1”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-diagram-1.6.5-r43ha770c72_2.conda”h0Œ@cdb60cea9b1c467190ac36fd11ffeb8e4d0d96063ca7dce695e25efdf3bf8db5”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-shape”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"~-æ‡+hEJÐ=
 hFˆubh)”}”(hŒr-diagrammer”h#Œ1.0.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-diagrammer-1.0.10-r41hc72bb7e_0.conda”h+Œ bfe8e8236c6391042c227083395f7b86”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-diagrammer-1.0.10-r41hc72bb7e_0.conda”h0Œ@70bbe1f82c808b48679fb01b470bb13089e021e15844a23c193adfc793aa60cd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-downloader >=0.4”Œr-dplyr >=0.7.4”Œr-glue >=1.2.0”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.0”Œr-igraph >=1.1.2”Œr-influencer >=0.1.0”Œr-magrittr >=1.5”Œr-purrr >=0.2.4”Œr-rcolorbrewer >=1.1_2”Œr-readr >=1.1.1”Œr-rgexf >=0.15.3”Œr-rlang >=0.2.0”Œr-rstudioapi >=0.7”Œr-scales >=0.5.0”Œr-stringr >=1.3.0”Œr-tibble >=1.4.2”Œr-tidyr >=0.8.0”Œr-viridis >=0.5.0”Œr-visnetwork >=2.0.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ•sXÔþhEJ"#  hFˆubh)”}”(hŒr-diagrammer”h#Œ1.0.10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-diagrammer-1.0.10-r42hc72bb7e_0.conda”h+Œ d57efa39e64bbe96b3df6bae8389fdf3”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-diagrammer-1.0.10-r42hc72bb7e_0.conda”h0Œ@ccbfe78b62d4cdd5a553e752963f68cbeea3001ba5ab00ceb33022e6cc2bf52b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-downloader >=0.4”Œr-dplyr >=0.7.4”Œr-glue >=1.2.0”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.0”Œr-igraph >=1.1.2”Œr-influencer >=0.1.0”Œr-magrittr >=1.5”Œr-purrr >=0.2.4”Œr-rcolorbrewer >=1.1_2”Œr-readr >=1.1.1”Œr-rgexf >=0.15.3”Œr-rlang >=0.2.0”Œr-rstudioapi >=0.7”Œr-scales >=0.5.0”Œr-stringr >=1.3.0”Œr-tibble >=1.4.2”Œr-tidyr >=0.8.0”Œr-viridis >=0.5.0”Œr-visnetwork >=2.0.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ•a}VhEJœ(  hFˆubh)”}”(hŒr-diagrammer”h#Œ1.0.10”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-diagrammer-1.0.10-r42hc72bb7e_1.conda”h+Œ e715f99429a23d0e286f68b23f057f91”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-diagrammer-1.0.10-r42hc72bb7e_1.conda”h0Œ@22329cef2014292282e21be7d2e5a5d9ec894ad8934483215597e3d8816e8c8c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-downloader >=0.4”Œr-dplyr >=0.7.4”Œr-glue >=1.2.0”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.0”Œr-igraph >=1.1.2”Œr-influencer >=0.1.0”Œr-magrittr >=1.5”Œr-purrr >=0.2.4”Œr-rcolorbrewer >=1.1_2”Œr-readr >=1.1.1”Œr-rgexf >=0.15.3”Œr-rlang >=0.2.0”Œr-rstudioapi >=0.7”Œr-scales >=0.5.0”Œr-stringr >=1.3.0”Œr-tibble >=1.4.2”Œr-tidyr >=0.8.0”Œr-viridis >=0.5.0”Œr-visnetwork >=2.0.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#H¡7LhEJ  hFˆubh)”}”(hŒr-diagrammer”h#Œ1.0.10”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-diagrammer-1.0.10-r43hc72bb7e_1.conda”h+Œ 98b04aa47bcd6a4d1e70bbcef5d20c69”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-diagrammer-1.0.10-r43hc72bb7e_1.conda”h0Œ@572cf485eab05b354c60bcb01fc110db0723a51525f12dfbd51a0fee47d45b32”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-downloader >=0.4”Œr-dplyr >=0.7.4”Œr-glue >=1.2.0”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.0”Œr-igraph >=1.1.2”Œr-influencer >=0.1.0”Œr-magrittr >=1.5”Œr-purrr >=0.2.4”Œr-rcolorbrewer >=1.1_2”Œr-readr >=1.1.1”Œr-rgexf >=0.15.3”Œr-rlang >=0.2.0”Œr-rstudioapi >=0.7”Œr-scales >=0.5.0”Œr-stringr >=1.3.0”Œr-tibble >=1.4.2”Œr-tidyr >=0.8.0”Œr-viridis >=0.5.0”Œr-visnetwork >=2.0.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#X¼í‘hEJ§(  hFˆubh)”}”(hŒr-diagrammersvg”h#Œ0.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-diagrammersvg-0.1-r42hc72bb7e_2.conda”h+Œ d165fd15bfa4d59cca732203599483e0”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-diagrammersvg-0.1-r42hc72bb7e_2.conda”h0Œ@d1d504d688578324a49594001d3eef26af07809b69848312e7d5d2c907bac6b2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-v8 >=0.10”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#
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mý?}hEJtã	 hFˆubh)”}”(hŒr-dials”h#Œ1.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-dials-1.2.0-r41hc72bb7e_0.conda”h+Œ f93cdef829dffca1ae849e3a4b40a5ca”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dials-1.2.0-r41hc72bb7e_0.conda”h0Œ@1dc607582e8a0aee14a1adc93737d2a6d53b36f6bd864da1d9f1392b78e95594”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dicedesign”Œr-dplyr >=0.8.5”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œr-pillar”Œr-purrr”Œr-rlang >=1.0.1”Œr-scales”Œr-tibble”Œr-vctrs >=0.3.8”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#SëÆ¨hEJ»< hFˆubh)”}”(hŒr-dials”h#Œ1.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-dials-1.2.0-r42hc72bb7e_0.conda”h+Œ 95bfd380dfcc3d96075d3613e0bc79ce”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dials-1.2.0-r42hc72bb7e_0.conda”h0Œ@ae82dec25960907b7fa32f239e64a2550aaee816c0c005256b780593b64dee1a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dicedesign”Œr-dplyr >=0.8.5”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œr-pillar”Œr-purrr”Œr-rlang >=1.0.1”Œr-scales”Œr-tibble”Œr-vctrs >=0.3.8”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#i¿+hEJ¸@ hFˆubh)”}”(hŒr-dials”h#Œ1.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-dials-1.2.0-r42hc72bb7e_1.conda”h+Œ 97e54eef9da757691eab1d27167d0a65”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dials-1.2.0-r42hc72bb7e_1.conda”h0Œ@b1132baa018d7d7283e429866a8f8a32d33130b87305ff88606bf731c9532fc9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dicedesign”Œr-dplyr >=0.8.5”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œr-pillar”Œr-purrr”Œr-rlang >=1.0.1”Œr-scales”Œr-tibble”Œr-vctrs >=0.3.8”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥:ÁG®hEJ»> hFˆubh)”}”(hŒr-dials”h#Œ1.2.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-dials-1.2.0-r43hc72bb7e_1.conda”h+Œ 280fa639939d9ea75ba5b261e42f46d0”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dials-1.2.0-r43hc72bb7e_1.conda”h0Œ@a1c467eb7f0c12fc9c8468e583fc25d4854de243fad689cc0e0be9c47936dbd3”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-dicedesign”Œr-dplyr >=0.8.5”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œr-pillar”Œr-purrr”Œr-rlang >=1.0.1”Œr-scales”Œr-tibble”Œr-vctrs >=0.3.8”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥?ü“hEJ`: hFˆubh)”}”(hŒr-dichromat”h#Œ2.0_0.1”h%Œr42ha770c72_2”h'Khhh(h)hŒ'r-dichromat-2.0_0.1-r42ha770c72_2.conda”h+Œ d93fd8eabd9a52546b8a9c7562736935”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dichromat-2.0_0.1-r42ha770c72_2.conda”h0Œ@498d16805e27c2d74fca82f7850bd77a6cb61dee33faca655ace0a58a9238279”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ßÙÄ9XhEJt hFˆubh)”}”(hŒr-dichromat”h#Œ2.0_0.1”h%Œr43ha770c72_2”h'Khhh(h)hŒ'r-dichromat-2.0_0.1-r43ha770c72_2.conda”h+Œ 2d5f6f64264fd59e3cc4a09adbf31533”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dichromat-2.0_0.1-r43ha770c72_2.conda”h0Œ@5581b3e092e9e6a3901d4f0204a5137813bcc1ef99b41ff7842998487c37f55c”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ßâeÒòhEJ6t hFˆubh)”}”(hŒr-dictionar6”h#Œ0.1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-dictionar6-0.1.3-r42hc72bb7e_2.conda”h+Œ 393ceec6cb06d5f10371afca057b89ad”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dictionar6-0.1.3-r42hc72bb7e_2.conda”h0Œ@964789197513e0e353199a3c73597f82c942a82b6d92d0b7015c27537fc382ae”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ooplah”Œr-r6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#
f"ñªhEJµf hFˆubh)”}”(hŒr-dictionar6”h#Œ0.1.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-dictionar6-0.1.3-r43hc72bb7e_2.conda”h+Œ 4769eeda7bbfd41e651fa98792ca9c9b”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dictionar6-0.1.3-r43hc72bb7e_2.conda”h0Œ@9b71a8a47d5c60ea8403aa8037c4f806f5fc4f2d7afac9db36aebdae24076e64”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-ooplah”Œr-r6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#
g!©ühEJ/g hFˆubh)”}”(hŒr-dirichletprocess”h#Œ0.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-dirichletprocess-0.4.1-r41hc72bb7e_0.conda”h+Œ ed033c2ae3cc0cdf998b739f8d861323”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-dirichletprocess-0.4.1-r41hc72bb7e_0.conda”h0Œ@3a5c6d82ae09ecc65fc0f4022eaf8a1eafa5671291130cbb2dd8eccc1ea6fda2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gtools”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ—UáG®hEJèü hFˆubh)”}”(hŒr-dirichletprocess”h#Œ0.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ,r-dirichletprocess-0.4.1-r42hc72bb7e_0.conda”h+Œ b4cc91ca61e3a699870a6c8464aaa312”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-dirichletprocess-0.4.1-r42hc72bb7e_0.conda”h0Œ@e1822d13c7524af8eb5152d0fdf60557f3bbfedc3c1226129cdf0b50a3d8cce2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-gtools”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ—VöE¢hEJ×û hFˆubh)”}”(hŒ	r-discrim”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-discrim-1.0.1-r41hc72bb7e_0.conda”h+Œ 72c8932b856a7ffbc3566e4789fb3136”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-discrim-1.0.1-r41hc72bb7e_0.conda”h0Œ@42614b76c92742a2a8cc0d08a0ffa9e26b963cc799c1e11a818e29f4213f517d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dials”Œr-parsnip >=0.2.0”Œr-rlang”Œr-tibble”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙžlzáhEJ0 hFˆubh)”}”(hŒ	r-discrim”h#Œ1.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-discrim-1.0.1-r42hc72bb7e_0.conda”h+Œ 29246d7cb377c3606adacbaf41cd61df”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-discrim-1.0.1-r42hc72bb7e_0.conda”h0Œ@9e243c4f0dc8f60f0ef9f84932e54083baca11456ff4d69a328d1b69eed25ee3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dials”Œr-parsnip >=0.2.0”Œr-rlang”Œr-tibble”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙœöE¢hEJ hFˆubh)”}”(hŒ	r-disordr”h#Œ0.9_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-disordr-0.9_5-r41hc72bb7e_0.conda”h+Œ 1ea5af488d5a582b288b55da031fcd7b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-disordr-0.9_5-r41hc72bb7e_0.conda”h0Œ@a7794a1469c63079cd3bebcba66466ed6ba938c18b4743fde11b37231d3c5f61”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙçÊñªhEJÇÚ hFˆubh)”}”(hŒ	r-disordr”h#Œ0.9_5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-disordr-0.9_5-r42hc72bb7e_0.conda”h+Œ 802980d529a26ce2dad90815a4da5802”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-disordr-0.9_5-r42hc72bb7e_0.conda”h0Œ@5700ef2be2bb628c37331f11f7969333bc31c86d7781f83e84ceeb349314be87”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙðî‡+hEJQÚ hFˆubh)”}”(hŒr-distributional”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-distributional-0.3.2-r41hc72bb7e_0.conda”h+Œ ac712aa1fb3ceba207e29b1062210cd3”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-distributional-0.3.2-r41hc72bb7e_0.conda”h0Œ@ceedcb172ecb3b99f5e44ebbd7d2c0e1aef2ee6ffce4318dcd0bb0e5c2252c30”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œ
r-ellipsis”Œr-farver”Œ
r-generics”Œ	r-ggplot2”Œr-lifecycle”Œ
r-numderiv”Œr-rlang >=0.4.5”Œr-scales”Œr-vctrs >=0.3.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙùQÃohEJ, hFˆubh)”}”(hŒr-distributional”h#Œ0.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-distributional-0.3.2-r42hc72bb7e_0.conda”h+Œ d7c79db6d000accb38996016f37ae47b”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-distributional-0.3.2-r42hc72bb7e_0.conda”h0Œ@2c1e3f4c31bc7b876359e355ddd9aed4773c233f479741da29b0318e1c72e15d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œ
r-ellipsis”Œr-farver”Œ
r-generics”Œ	r-ggplot2”Œr-lifecycle”Œ
r-numderiv”Œr-rlang >=0.4.5”Œr-scales”Œr-vctrs >=0.3.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙùYáÊÁhEJ~) hFˆubh)”}”(hŒr-distributional”h#Œ0.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-distributional-0.3.2-r42hc72bb7e_1.conda”h+Œ 096b4cdbf08823abc091e5fbd4655cb1”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-distributional-0.3.2-r42hc72bb7e_1.conda”h0Œ@9dc03bf762ca14155b071936cc0fcafa581b91a8de162f3a856be201f0a0cc46”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œ
r-ellipsis”Œr-farver”Œ
r-generics”Œ	r-ggplot2”Œr-lifecycle”Œ
r-numderiv”Œr-rlang >=0.4.5”Œr-scales”Œr-vctrs >=0.3.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"µ‹Ž§ðhEJß” hFˆubh)”}”(hŒr-distributional”h#Œ0.3.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ*r-distributional-0.3.2-r43hc72bb7e_1.conda”h+Œ 4323460f1a0230ffab28cbe85bf570a4”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-distributional-0.3.2-r43hc72bb7e_1.conda”h0Œ@ccff9ad75c4fc687f50f766b8f42468cfd5dd677ff91cdaa036ad97823b3a26b”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest”Œ
r-ellipsis”Œr-farver”Œ
r-generics”Œ	r-ggplot2”Œr-lifecycle”Œ
r-numderiv”Œr-rlang >=0.4.5”Œr-scales”Œr-vctrs >=0.3.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"µ‚   hEJct hFˆubh)”}”(hŒ	r-dlstats”h#Œ0.1.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-dlstats-0.1.7-r41hc72bb7e_0.conda”h+Œ 9e50d59526ed6fda5b5fc29e35e66dbc”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dlstats-0.1.7-r41hc72bb7e_0.conda”h0Œ@0f8e3af2bfccc913632f6de205790ad6c27eef3822b47b8cfbc95eafd307a419”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-jsonlite”Œ
r-magrittr”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙgBåOßhEJY¢ hFˆubh)”}”(hŒ	r-dlstats”h#Œ0.1.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-dlstats-0.1.7-r42hc72bb7e_0.conda”h+Œ 7ced220a4b1c3d4be002571d15f03f6d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dlstats-0.1.7-r42hc72bb7e_0.conda”h0Œ@34fb532db9ca2c060271ca935c5416e133707ab2e10fdb5d42e9743eed7fe171”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ
r-jsonlite”Œ
r-magrittr”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙg0cSøhEJ@£ hFˆubh)”}”(hŒ	r-dlstats”h#Œ0.1.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-dlstats-0.1.7-r42hc72bb7e_1.conda”h+Œ a1b105eaacd85468d3321d3d43b48205”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dlstats-0.1.7-r42hc72bb7e_1.conda”h0Œ@b55f677dbf82a143a62e88ec35428f27a34d98e556701d416ed326ce38bb6b99”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ
r-jsonlite”Œ
r-magrittr”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"ß˜ªMÓhEJ§ hFˆubh)”}”(hŒ	r-dlstats”h#Œ0.1.7”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-dlstats-0.1.7-r43hc72bb7e_1.conda”h+Œ e70cff236404ea166fede95f894e3f0a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dlstats-0.1.7-r43hc72bb7e_1.conda”h0Œ@d1235dcece02948113b5d40526992b88a344d6c2cce02c5b32a72a5e30598d93”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-ggplot2”Œ
r-jsonlite”Œ
r-magrittr”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"ß™›÷ÏhEJ~£ hFˆubh)”}”(hŒr-doby”h#Œ4.6.16”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-doby-4.6.16-r42hc72bb7e_1.conda”h+Œ 11551207f205fe620adc23fc6041b548”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-doby-4.6.16-r42hc72bb7e_1.conda”h0Œ@3648804b28f507e2519169c49538e5f0fd9713e964432a99fbea12480304c32d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-curry”Œr-deriv”•      Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-mass”Œr-matrix”Œr-microbenchmark”Œr-pbkrtest >=0.4_8.1”Œr-tibble”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#
~YÛ#hEJ·\G hFˆubh)”}”(hŒr-doby”h#Œ4.6.16”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-doby-4.6.16-r43hc72bb7e_1.conda”h+Œ db8710f0011c180b9caba74354a60a73”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-doby-4.6.16-r43hc72bb7e_1.conda”h0Œ@283f0c4f7153b08517e311702317b7ed5e56f32f3c84eac84f72db0cf89bcd9f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-broom”Œr-curry”Œr-deriv”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-mass”Œr-matrix”Œr-microbenchmark”Œr-pbkrtest >=0.4_8.1”Œr-tibble”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#
m&éhEJaUG hFˆubh)”}”(hŒr-dockerfiler”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-dockerfiler-0.2.1-r41hc72bb7e_0.conda”h+Œ c917e23cd7da49c19aff284544fcf4a5”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dockerfiler-0.2.1-r41hc72bb7e_0.conda”h0Œ@1aeaa0634bbb52aff4cb96bc4db5abcf3c1aa078ed3ebace3a8d616c27f1579b”h2NhNh3(Œr-attempt >=0.3.1”Œr-base >=4.1,<4.2.0a0”Œr-cli >=2.3.0”Œr-desc >=1.2.0”Œr-fs >=1.5.0”Œr-glue >=1.4.2”Œr-jsonlite >=1.7.2”Œr-pak >=0.2.0”Œr-pkgbuild >=1.2.0”Œr-r6 >=2.5.0”Œr-remotes >=2.2.0”Œr-renv >=0.12.0”Œr-usethis >=2.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØôB’Ñ™šhEJ{· hFˆubh)”}”(hŒr-dockerfiler”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-dockerfiler-0.2.1-r42hc72bb7e_0.conda”h+Œ 9f55afd26cd0a5280c754280185399fc”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dockerfiler-0.2.1-r42hc72bb7e_0.conda”h0Œ@e7e3fae7f24ddbcaae7af883decd5ab8c8c1aa284cbe3ac6b5715064dedbbd8b”h2NhNh3(Œr-attempt >=0.3.1”Œr-base >=4.2,<4.3.0a0”Œr-cli >=2.3.0”Œr-desc >=1.2.0”Œr-fs >=1.5.0”Œr-glue >=1.4.2”Œr-jsonlite >=1.7.2”Œr-pak >=0.2.0”Œr-pkgbuild >=1.2.0”Œr-r6 >=2.5.0”Œr-remotes >=2.2.0”Œr-renv >=0.12.0”Œr-usethis >=2.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØôB…þ{hEJ¢³ hFˆubh)”}”(hŒr-documenter”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-documenter-0.1.3-r41hc72bb7e_0.conda”h+Œ e04d3f5e681317464871a3a73cec1a51”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-documenter-0.1.3-r41hc72bb7e_0.conda”h0Œ@58bda877da635db561c7ec81ea2bda1fd27e6a6ad01829fa5ba553ff7d951c71”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œ
r-magrittr”Œ	r-officer”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØíÔyÏïžhEMGßhFˆubh)”}”(hŒr-documenter”h#Œ0.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-documenter-0.1.3-r41hc72bb7e_1.conda”h+Œ b6264815027e19149fd69bc97100df46”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-documenter-0.1.3-r41hc72bb7e_1.conda”h0Œ@12a1b1941f3be9ef8ed4533151be708b5dde7044711afc077e19804606ec153a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œ
r-magrittr”Œ	r-officer”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØí×‘©ühEMòÝhFˆubh)”}”(hŒr-documenter”h#Œ0.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-documenter-0.1.3-r42hc72bb7e_0.conda”h+Œ a506c095c675006f66fcc134860ef5b4”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-documenter-0.1.3-r42hc72bb7e_0.conda”h0Œ@bec98d4821b4fcc67ae924e58e3b212359227fc500a9031a47783a1c8450bdb4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œ
r-magrittr”Œ	r-officer”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØíÔm¼“hEMPÞhFˆubh)”}”(hŒr-documenter”h#Œ0.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-documenter-0.1.3-r42hc72bb7e_1.conda”h+Œ ddaeb2a065069dc7496c48492a3363e4”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-documenter-0.1.3-r42hc72bb7e_1.conda”h0Œ@f85e92b884427ceeb3ca7c2a4d134c323defdef181bd8cad9fdffd24069526b3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œ
r-magrittr”Œ	r-officer”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØí×"dZhEM;ßhFˆubh)”}”(hŒ
r-dofuture”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-dofuture-1.0.0-r41hc72bb7e_0.conda”h+Œ 19f3822b37c6e25873a1cf4e833edf63”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dofuture-1.0.0-r41hc72bb7e_0.conda”h0Œ@9759bb813bd49fd9309ebe186ef212aaf1c04f491e0ef80286c3b73f1d71bc2e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-foreach >=1.5.0”Œr-future >=1.32.0”Œr-future.apply”Œ	r-globals”Œr-iterators”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ¾ˆbJhEJd hFˆubh)”}”(hŒ
r-dofuture”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-dofuture-1.0.0-r42hc72bb7e_0.conda”h+Œ 3825919549e30abfa7f5347ced3c6d49”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dofuture-1.0.0-r42hc72bb7e_0.conda”h0Œ@ba192d642420b3fc6f9ab9d52fd7413d07e4013ccb864d10c315e0a3103c1619”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-foreach >=1.5.0”Œr-future >=1.32.0”Œr-future.apply”Œ	r-globals”Œr-iterators”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ¾‰œ(öhEJ hFˆubh)”}”(hŒ
r-dofuture”h#Œ1.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-dofuture-1.0.0-r42hc72bb7e_1.conda”h+Œ 859526469aa3063093e856f7f4e52b40”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dofuture-1.0.0-r42hc72bb7e_1.conda”h0Œ@a254663630b903ea14a16debdb2084af6a076a002e9b45d06583ddc4f9d2bf32”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-foreach >=1.5.0”Œr-future >=1.32.0”Œr-future.apply”Œ	r-globals”Œr-iterators”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"÷KK×
hEJw  hFˆubh)”}”(hŒ
r-dofuture”h#Œ1.0.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-dofuture-1.0.0-r43hc72bb7e_1.conda”h+Œ f034b9f8437ccfc0e87cc606198080e5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dofuture-1.0.0-r43hc72bb7e_1.conda”h0Œ@1065689b98f3eea07b08b82cafba4ca0cfca7417fb4b873cbbe9fe675e9f5326”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-foreach >=1.5.0”Œr-future >=1.32.0”Œr-future.apply”Œ	r-globals”Œr-iterators”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"÷UœZhEJš hFˆubh)”}”(hŒr-doparallel”h#Œ1.0.17”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-doparallel-1.0.17-r42hc72bb7e_2.conda”h+Œ 1cddfbaade4416f0234670391bb31ba2”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-doparallel-1.0.17-r42hc72bb7e_2.conda”h0Œ@50da37d7c7e9675b124f21c8a7a6229998a1db4d00339196ee980d6e68bc62bc”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Šq@r°hEJ€ hFˆubh)”}”(hŒr-doparallel”h#Œ1.0.17”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-doparallel-1.0.17-r43hc72bb7e_2.conda”h+Œ 5eb327ee913c177e3c02278e5103f9a1”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-doparallel-1.0.17-r43hc72bb7e_2.conda”h0Œ@a1d2b6a00314e192bdf0defaf9ac96c186da4faf8a30dd508bad20e6f832a659”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Šj¿
=hEJí hFˆubh)”}”(hŒr-dorng”h#Œ1.8.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-dorng-1.8.6-r41hc72bb7e_0.conda”h+Œ 7073fa36b420799a1e32b49e62f3b2bc”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dorng-1.8.6-r41hc72bb7e_0.conda”h0Œ@5fc3386fb1076441b8aa3b8bff4b42f5d27268406bb11d40b596e1e0adfc5dca”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-foreach”Œr-iterators”Œr-rngtools >=1.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØñ`Z`BhEJ Ü hFˆubh)”}”(hŒr-dorng”h#Œ1.8.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-dorng-1.8.6-r42hc72bb7e_0.conda”h+Œ 12028f8053dc96d20e7720c3929ff01e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dorng-1.8.6-r42hc72bb7e_0.conda”h0Œ@fc474a5f3eeb1cd1078f4e65781f68844e8ab3b836c7bc12d1407ff8add26f5f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-foreach”Œr-iterators”Œr-rngtools >=1.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØñ`P–5?hEJÝ hFˆubh)”}”(hŒr-dorng”h#Œ1.8.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-dorng-1.8.6-r42hc72bb7e_1.conda”h+Œ 32d0316f28b9b4bb88669d4bf980cb41”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dorng-1.8.6-r42hc72bb7e_1.conda”h0Œ@06677b714189c46a41128e847f9125e0059df55d85255339257edc7b4e6b4816”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-foreach”Œr-iterators”Œr-rngtools >=1.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"À|Ñ‡hEJ™à hFˆubh)”}”(hŒr-dorng”h#Œ1.8.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-dorng-1.8.6-r43hc72bb7e_1.conda”h+Œ a29b121a3a45c0cc0b826782551245c9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dorng-1.8.6-r43hc72bb7e_1.conda”h0Œ@fbbf8eba65602410490e4e21845abc968aa10d3a9b79ddb32cb801b15886c89c”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-foreach”Œr-iterators”Œr-rngtools >=1.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"Àz>{hEJ‘ß hFˆubh)”}”(hŒ	r-downlit”h#Œ0.4.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-downlit-0.4.2-r42hc72bb7e_2.conda”h+Œ aaf1d64848f4225c505a38391abb205a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-downlit-0.4.2-r42hc72bb7e_2.conda”h0Œ@c294716715d0b6b3a3e9156761fef0b0a1e9108b0aa77c9cea0835028a21f1db”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-brio”Œr-desc”Œr-digest”Œ
r-evaluate”Œr-fansi”Œ	r-memoise”Œr-rlang”Œr-vctrs”Œr-withr”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÀëÓ¥ãhEJ4Ö hFˆubh)”}”(hŒ	r-downlit”h#Œ0.4.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-downlit-0.4.2-r43hc72bb7e_2.conda”h+Œ a1776dae539e150883091135f657698b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-downlit-0.4.2-r43hc72bb7e_2.conda”h0Œ@b5162a04ed908e09b2271eeb1f9105ad095e0fd38c276234d01be4377eaa5707”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-brio”Œr-desc”Œr-digest”Œ
r-evaluate”Œr-fansi”Œ	r-memoise”Œr-rlang”Œr-vctrs”Œr-withr”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÀöÖffhEJîÑ hFˆubh)”}”(hŒr-downloader”h#Œ0.4”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ'r-downloader-0.4-r42hc72bb7e_1005.conda”h+Œ c1e47117a6d63e01cd4ad83921fd9b54”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-downloader-0.4-r42hc72bb7e_1005.conda”h0Œ@838ffc9e49f389f33373c635644439b5ff640d5a8bbb09c4ee6a997b421646f6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"ž ÒÀƒhEMHhFˆubh)”}”(hŒr-downloader”h#Œ0.4”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ'r-downloader-0.4-r43hc72bb7e_1005.conda”h+Œ 95e010071916c00f349ded822a21bb6f”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-downloader-0.4-r43hc72bb7e_1005.conda”h0Œ@ee0c74a4bce67d1a851fa7999772fdf8c889eb3f2f2584adb3baec28f620960c”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-digest”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"ô¿|îhEMÓhFˆubh)”}”(hŒr-drtmle”h#Œ1.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-drtmle-1.1.2-r41hc72bb7e_0.conda”h+Œ 4fa135d675b8c5c498c8a74a443a3d44”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-drtmle-1.1.2-r41hc72bb7e_0.conda”h0Œ@5f98044625f27fc116f6b66682874393d42c7026f3386c2a93560f02d1c857cc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-dofuture”Œr-future”Œr-future.apply”Œr-future.batchtools”Œr-np”Œr-superlearner”t”h9hºh@ŒMIT”hBŒMIT”hDGAØíäcdZhEJ¬¥ hFˆubh)”}”(hŒr-drtmle”h#Œ1.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-drtmle-1.1.2-r42hc72bb7e_0.conda”h+Œ 08bac02815f788811e5bfe9ec2d6e684”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-drtmle-1.1.2-r42hc72bb7e_0.conda”h0Œ@5bb13e01432d20c1d226ca8c029fd8230c4a44a89fd3829d62bb1cc93ccaf390”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-dofuture”Œr-future”Œr-future.apply”Œr-future.batchtools”Œr-np”Œr-superlearner”t”h9hºh@ŒMIT”hBŒMIT”hDGAØíäœÒMÓhEJó¨ hFˆubh)”}”(hŒr-dssat”h#Œ0.0.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-dssat-0.0.7-r41hc72bb7e_0.conda”h+Œ 6220e587f274eb039fe22cf41842fed2”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dssat-0.0.7-r41hc72bb7e_0.conda”h0Œ@29ffa894acc43268a63ddb28384fe74fdeaede4899a772a69927f80aba21bf33”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-glue”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-rlang”Œ	r-stringr”Œr-testthat >=3.0.0”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙê¦"Ÿ¾hEJŽê hFˆubh)”}”(hŒr-dssat”h#Œ0.0.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-dssat-0.0.7-r42hc72bb7e_0.conda”h+Œ 9d18fe2727759875495118fead31b6ae”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dssat-0.0.7-r42hc72bb7e_0.conda”h0Œ@f77fe8df709d6bcc99ca48e57fbe6ba2bd7d44ce2ac739d1726e42694873add6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-glue”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-rlang”Œ	r-stringr”Œr-testthat >=3.0.0”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙê§ÂhEJÊå hFˆubh)”}”(hŒr-dt”h#Œ0.28”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-dt-0.28-r41hc72bb7e_0.conda”h+Œ a527b577a599e8b4cb08dbdec5d4492b”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-dt-0.28-r41hc72bb7e_0.conda”h0Œ@77b36d0f4e04936123e2211b128ee2ee2b699f052e1f3204e34ec346471e83a3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crosstalk”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.3”Œr-jquerylib”Œr-jsonlite >=0.9.16”Œ
r-magrittr”Œ
r-promises”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙˆa’~úhEJT< hFˆubh)”}”(hŒr-dt”h#Œ0.28”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-dt-0.28-r42hc72bb7e_0.conda”h+Œ 4a3e80bdbf2fb0e8dfc56efbcf2b14ad”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-dt-0.28-r42hc72bb7e_0.conda”h0Œ@e6355b0371f9d092bdd9ca666631c6c155310f540726f4f2b73b7b80efe593b8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crosstalk”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.3”Œr-jquerylib”Œr-jsonlite >=0.9.16”Œ
r-magrittr”Œ
r-promises”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙˆW½VhEJzI hFˆubh)”}”(hŒr-dt”h#Œ0.28”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-dt-0.28-r42hc72bb7e_1.conda”h+Œ 4e4a5f51e3a68ec93f4ebbab6bee99e9”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-dt-0.28-r42hc72bb7e_1.conda”h0Œ@812be8736d376779112de61205a5675d6b42a7d38d90d51653a980866fc4818f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crosstalk”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.3”Œr-jquerylib”Œr-jsonlite >=0.9.16”Œ
r-magrittr”Œ
r-promises”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"´È17LhEJ£F hFˆubh)”}”(hŒr-dt”h#Œ0.28”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-dt-0.28-r43hc72bb7e_1.conda”h+Œ 675a20f42de5d13eace306c23d83f581”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-dt-0.28-r43hc72bb7e_1.conda”h0Œ@a4d698593a6b6d40a9df81802ebfd6d750782521407bb35a5ef16247a722a598”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crosstalk”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.3”Œr-jquerylib”Œr-jsonlite >=0.9.16”Œ
r-magrittr”Œ
r-promises”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"´Ã0A‰hEJ+> hFˆubh)”}”(hŒr-dtplyr”h#Œ1.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-dtplyr-1.3.1-r41hc72bb7e_0.conda”h+Œ 13ab268c30f4ef5ec2668cc25926837a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dtplyr-1.3.1-r41hc72bb7e_0.conda”h0Œ@210c433dc0b0ff4289e33459f30c443bd93df86da13a89b50b633f692e46d815”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-data.table >=1.13.0”Œr-dplyr >=1.0.3”Œ
r-ellipsis”Œr-glue”Œr-lifecycle”Œr-rlang”Œr-tibble”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ×AÓ¥ãhEJ2r hFˆubh)”}”(hŒr-dtplyr”h#Œ1.3.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-dtplyr-1.3.1-r42hc72bb7e_0.conda”h+Œ 2f498d3f1f9ee97406469750b0c85a0d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dtplyr-1.3.1-r42hc72bb7e_0.conda”h0Œ@4fb0a054a725d8246d21c9ae228a669d498126fccf594b81e41ecebefb3b1f3d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-data.table >=1.13.0”Œr-dplyr >=1.0.3”Œ
r-ellipsis”Œr-glue”Œr-lifecycle”Œr-rlang”Œr-tibble”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ×>ïžhEJ<t hFˆubh)”}”(hŒr-dtplyr”h#Œ1.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-dtplyr-1.3.1-r42hc72bb7e_1.conda”h+Œ 5d4d164c04d897472a186d40e1155514”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dtplyr-1.3.1-r42hc72bb7e_1.conda”h0Œ@0b99ffb907229552bc417312e52bb91e7eed55cba8a4b555c2dc271400cb91ba”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-data.table >=1.13.0”Œr-dplyr >=1.0.3”Œ
r-ellipsis”Œr-glue”Œr-lifecycle”Œr-rlang”Œr-tibble”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Æ€ÿ²hEJv hFˆubh)”}”(hŒr-dtplyr”h#Œ1.3.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-dtplyr-1.3.1-r43hc72bb7e_1.conda”h+Œ 85ba0e234af279259478526f5cdf952f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dtplyr-1.3.1-r43hc72bb7e_1.conda”h0Œ@18082ee04ee01a2575ac70a126416da628c875ae1117796ef38447a38eb44e32”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crayon”Œr-data.table >=1.13.0”Œr-dplyr >=1.0.3”Œ
r-ellipsis”Œr-glue”Œr-lifecycle”Œr-rlang”Œr-tibble”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÆˆeÂhEJŸh hFˆubh)”}”(hŒr-dtt”h#Œ0.1_2”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ"r-dtt-0.1_2-r42hc72bb7e_1005.conda”h+Œ 2189bd4e23a540992b3aecb06b829ed3”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dtt-0.1_2-r42hc72bb7e_1005.conda”h0Œ@be8147abd34dff41220fb00681db43ed60d5860127d91ae52337d303f41948ac”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"ëÁ  hEM‰—hFˆubh)”}”(hŒr-dtt”h#Œ0.1_2”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ"r-dtt-0.1_2-r43hc72bb7e_1005.conda”h+Œ 9536493a56e7c3fff2812321c61e4b18”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dtt-0.1_2-r43hc72bb7e_1005.conda”h0Œ@297d5e86e12e3a3df1b708b666611c0507fdb8d2e83f241b8685490f093bab1f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"ë¼ÁÊÁhEMÔ–hFˆubh)”}”(hŒr-dunn.test”h#Œ1.3.5”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ(r-dunn.test-1.3.5-r42hc72bb7e_1005.conda”h+Œ acab1ae4caa9ea37114152272b67e31e”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dunn.test-1.3.5-r42hc72bb7e_1005.conda”h0Œ@f4e2f4572a129ae01f7f509d0376fcaac64de91e27905c1599e49ef0cecdeadc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#
]?}hEJ¹ hFˆubh)”}”(hŒr-dunn.test”h#Œ1.3.5”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ(r-dunn.test-1.3.5-r43hc72bb7e_1005.conda”h+Œ 00214cd9d45faf193b411c8caddfc702”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dunn.test-1.3.5-r43hc72bb7e_1005.conda”h0Œ@bd9f1ff2352aeecc51977dc33e0e2fb54dc0f0112e6ebba2f9ee107d32109187”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#
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r-dygraphs”h#Œ1.1.1.6”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ)r-dygraphs-1.1.1.6-r42hc72bb7e_1005.conda”h+Œ 710466727f8ce1de3a410314a435b76e”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dygraphs-1.1.1.6-r42hc72bb7e_1005.conda”h0Œ@6f007745ab7aa799528a62fa5d0789aa99e89dab57905a944d570a3db698dfff”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.3.5”Œr-htmlwidgets >=0.6”Œ
r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¹r”Ý/hEJUë hFˆubh)”}”(hŒ
r-dygraphs”h#Œ1.1.1.6”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ)r-dygraphs-1.1.1.6-r43hc72bb7e_1005.conda”h+Œ 214fa6e3602cc639f5ca11a4579347c8”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dygraphs-1.1.1.6-r43hc72bb7e_1005.conda”h0Œ@2115058c4b22b23a00bceb68a917299af6c9f154f767d0b00017b1215b565361”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-htmltools >=0.3.5”Œr-htmlwidgets >=0.6”Œ
r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¹ezáhEJð hFˆubh)”}”(hŒr-easydescribe”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-easydescribe-0.1.2-r41hc72bb7e_0.conda”h+Œ 22e19e42fab21289b8afde9192f74672”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-easydescribe-0.1.2-r41hc72bb7e_0.conda”h0Œ@419b56ca0248a9c98ec7433fe40e3729a67be842ffbb743ab2a8aa5ac2c92cd4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œr-catt”Œ	r-clinfun”Œr-fitdistrplus”Œr-fsa”Œ	r-gmodels”Œ	r-multica”Œ	r-nortest”Œr-psych”Œr-rcompanion”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙôÞ0r°hEJHi hFˆubh)”}”(hŒr-easydescribe”h#Œ0.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-easydescribe-0.1.2-r42hc72bb7e_0.conda”h+Œ 972296cf7f06e3e3015af29890eca6c7”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-easydescribe-0.1.2-r42hc72bb7e_0.conda”h0Œ@760178388b3af6dce8b12920e717bf0198d654faccedd9ea35125587dd798cad”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œr-catt”Œ	r-clinfun”Œr-fitdistrplus”Œr-fsa”Œ	r-gmodels”Œ	r-multica”Œ	r-nortest”Œr-psych”Œr-rcompanion”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙôÓ÷ÏhEJUi hFˆubh)”}”(hŒ
r-easyncdf”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-easyncdf-0.1.2-r41hc72bb7e_0.conda”h+Œ cc79e3273c3172e0a4d04b0283158b13”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-easyncdf-0.1.2-r41hc72bb7e_0.conda”h0Œ@7e64878d72cffcf8cc93716970c5e9870779b0990c98e04e71dd8eebc0b8ed54”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-climprojdiags”Œr-ncdf4”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ~z8bhEJB hFˆubh)”}”(hŒ
r-easyncdf”h#Œ0.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-easyncdf-0.1.2-r42hc72bb7e_0.conda”h+Œ a8af72af0dae7726c539b1e7cc9d8681”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-easyncdf-0.1.2-r42hc72bb7e_0.conda”h0Œ@f59352cabd22dd6e7b38a1bfe8e7556f17b6f2a860ab11eb9ba346bb1ceada72”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-climprojdiags”Œr-ncdf4”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ~yvéyhEJpC hFˆubh)”}”(hŒr-echarts4r”h#Œ0.4.4”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-echarts4r-0.4.4-r41hc72bb7e_2.conda”h+Œ abf3a34e4c6d0ac08998fdd4a11dbf01”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-echarts4r-0.4.4-r41hc72bb7e_2.conda”h0Œ@d4d3b5cc235bfac5eaf61fa4d0375384a69c43b294502197e865f57c479d9079”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œ
r-corrplot”Œr-countrycode”Œr-dplyr >=0.7.0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-purrr”Œr-rstudioapi”Œr-scales”Œr-shiny”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØävˆst¼hEJ¡ hFˆubh)”}”(hŒr-echarts4r”h#Œ0.4.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-echarts4r-0.4.4-r42hc72bb7e_2.conda”h+Œ 53e944dd85de105a0031a6a721393e88”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-echarts4r-0.4.4-r42hc72bb7e_2.conda”h0Œ@90a3371f728fa47cc76698bdc386a8bf0f82a0930190bde6815ed4b39a2e1eb8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œ
r-corrplot”Œr-countrycode”Œr-dplyr >=0.7.0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-purrr”Œr-rstudioapi”Œr-scales”Œr-shiny”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØävœeVhEJ¡ hFˆubh)”}”(hŒ	r-ecospat”h#Œ3.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ecospat-3.5-r41hc72bb7e_0.conda”h+Œ b70b095eff9e508d3c1250ed18bf51d8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ecospat-3.5-r41hc72bb7e_0.conda”h0Œ@75070cb8783e1c5e9e812f12bbad2d5b4c0b5fdaa876af28a9e57e724ad57836”h2NhNh3(Œr-ade4 >=1.6_2”Œr-adehabitathr >=0.4.11”Œr-adehabitatma >=0.3.8”Œr-ape >=3.2”Œr-base >=4.1,<4.2.0a0”Œr-biomod2 >=4.2_2”Œr-classint >=0.1_23”Œr-dismo >=0.9_3”Œr-ecodist >=1.2.9”Œr-foreach >=1.4.3”Œr-gbm >=2.1.1”Œr-gtools >=3.4.1”Œr-hmisc >=4.4_2”Œr-ks >=1.12.0”Œr-maptools >=0.8_39”Œr-matrixstats >=0.53.1”Œr-nabor >=0.5.0”Œr-poibin >=1.3”Œr-presenceabsence >=1.1.9”Œr-randomforest >=4.6_7”Œr-raster >=2.5_8”Œr-sp >=1.0_15”Œr-vegan >=2.4_1”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØûXiË¶FhEJ5 hFˆubh)”}”(hŒ	r-ecospat”h#Œ3.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-ecospat-3.5-r42hc72bb7e_0.conda”h+Œ b05bd12025d5ab2e3ad3fe06955ef512”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ecospat-3.5-r42hc72bb7e_0.conda”h0Œ@6611e131cc6e7b465bd453ea5a1e2a0b6f254e17541b3c207e734b080d321655”h2NhNh3(Œr-ade4 >=1.6_2”Œr-adehabitathr >=0.4.11”Œr-adehabitatma >=0.3.8”Œr-ape >=3.2”Œr-base >=4.2,<4.3.0a0”Œr-biomod2 >=4.2_2”Œr-classint >=0.1_23”Œr-dismo >=0.9_3”Œr-ecodist >=1.2.9”Œr-foreach >=1.4.3”Œr-gbm >=2.1.1”Œr-gtools >=3.4.1”Œr-hmisc >=4.4_2”Œr-ks >=1.12.0”Œr-maptools >=0.8_39”Œr-matrixstats >=0.53.1”Œr-nabor >=0.5.0”Œr-poibin >=1.3”Œr-presenceabsence >=1.1.9”Œr-randomforest >=4.6_7”Œr-raster >=2.5_8”Œr-sp >=1.0_15”Œr-vegan >=2.4_1”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØûX€¢~úhEJ¹4 hFˆubh)”}”(hŒ
r-edsurvey”h#Œ4.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-edsurvey-4.0.1-r42hc72bb7e_0.conda”h+Œ cd919cc3274e959fd39cb6cb5e970bb8”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-edsurvey-4.0.1-r42hc72bb7e_0.conda”h0Œ@0abfab304570922b3776520cc5fb70e57d7c5c2161a7a20b5028cf5e62490203”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œr-data.table >=1.11.4”Œr-dire >=2.1.0”Œ	r-formula”Œr-glm2”Œr-haven >=2.2.0”Œr-laf >=0.7”Œr-lfactors >=1.0.3”Œr-lme4”Œr-mass”Œr-matrix”Œr-naepirtparams”Œr-naepprimer”Œ
r-quantreg”Œr-readxl”Œr-tibble”Œr-wcorr”Œr-wemix >=4.0.0”Œr-xml2”Œr-xtable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"dôÌÍhEJ¶b. hFˆubh)”}”(hŒr-effectsize”h#Œ0.8.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-effectsize-0.8.3-r41hc72bb7e_0.conda”h+Œ 46b814bcefeb9737232688193cf6f48e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-effectsize-0.8.3-r41hc72bb7e_0.conda”h0Œ@c91065f0c53c35a08af5f172bc011f440d53733f40a4dba355c767b3c8e22c5b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayestestr >=0.12.1”Œr-datawizard >=0.4.1”Œr-insight >=0.17.0”Œr-parameters >=0.18.0”Œr-performance >=0.9.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØõhdRn˜hEJø‚
 hFˆubh)”}”(hŒr-effectsize”h#Œ0.8.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-effectsize-0.8.3-r42hc72bb7e_0.conda”h+Œ 90f75f445840ffc676198275ac56c7a3”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-effectsize-0.8.3-r42hc72bb7e_0.conda”h0Œ@9536bf6b10ad38c980f0646d4cba62fbdb564a251af72e92d4a351581888385b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.12.1”Œr-datawizard >=0.4.1”Œr-insight >=0.17.0”Œr-parameters >=0.18.0”Œr-performance >=0.9.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØõhZbŸ¾hEJ†
 hFˆubh)”}”(hŒr-effectsize”h#Œ0.8.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-effectsize-0.8.3-r42hc72bb7e_1.conda”h+Œ b97902286a7b066bc719ba99a8a490a7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-effectsize-0.8.3-r42hc72bb7e_1.conda”h0Œ@182d92d516d699879981e616dcd70d093e9169a3240b3c9859c6601a75837ab6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.12.1”Œr-datawizard >=0.4.1”Œr-insight >=0.17.0”Œr-parameters >=0.18.0”Œr-performance >=0.9.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Àî¸RhEJ
 hFˆubh)”}”(hŒr-effectsize”h#Œ0.8.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-effectsize-0.8.3-r43hc72bb7e_1.conda”h+Œ 7ecd29a47ff944694cb4e02c5d3b2a17”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-effectsize-0.8.3-r43hc72bb7e_1.conda”h0Œ@b6be5937f1d848f5012f03b4747aa966bdd0548a59ee5c07017043620786d83b”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-bayestestr >=0.12.1”Œr-datawizard >=0.4.1”Œr-insight >=0.17.0”Œr-parameters >=0.18.0”Œr-performance >=0.9.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Àã7LhEJêx
 hFˆubh)”}”(hŒr-egg”h#Œ0.4.5”h%Œr42hc72bb7e_4”h'Khhh(h)hŒr-egg-0.4.5-r42hc72bb7e_4.conda”h+Œ e140323b8bd3719d8cb0da23a5312fa5”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-egg-0.4.5-r42hc72bb7e_4.conda”h0Œ@93e8bd39d05ae34a5493138f229d7795a0cf2adafabc6b2e8b30f90f8f8989b0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-gridextra >=2.3”Œr-gtable”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"ë»Ø£×hEJjJ hFˆubh)”}”(hŒr-egg”h#Œ0.4.5”h%Œr43hc72bb7e_4”h'Khhh(h)hŒr-egg-0.4.5-r43hc72bb7e_4.conda”h+Œ b471d08610b8eef5f29534e7a9c1d13b”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-egg-0.4.5-r43hc72bb7e_4.conda”h0Œ@c4d88e465efa272bd10be303573d9639bbba01a8d92d6cde0444f2131536d6e5”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-ggplot2”Œr-gridextra >=2.3”Œr-gtable”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"ëÊ.ÙhEJaT hFˆubh)”}”(hŒr-eigenmodel”h#Œ1.11”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-eigenmodel-1.11-r42hc72bb7e_2.conda”h+Œ cb58bcee8356c630a0e33049ddc263e4”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-eigenmodel-1.11-r42hc72bb7e_2.conda”h0Œ@64849c5ac66ed61bd50ce7740923ae8fee3814f976dbd4f5d2974da74061b21e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#
Nò~úhEJJ hFˆubh)”}”(hŒr-eigenmodel”h#Œ1.11”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-eigenmodel-1.11-r43hc72bb7e_2.conda”h+Œ c2f0f43bffdca1b8da4f6ea013b84aca”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-eigenmodel-1.11-r43hc72bb7e_2.conda”h0Œ@6ceb3fa65e090f4e33bb3e5264d202dcfec543f50baa8d5b48bc4c47b1f6a9c4”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#
E'KÇhEJMI hFˆubh)”}”(hŒr-elasticnet”h#Œ1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-elasticnet-1.3-r42hc72bb7e_2.conda”h+Œ 4b815930e4cc8f3d980cba2efb71c857”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-elasticnet-1.3-r42hc72bb7e_2.conda”h0Œ@ba5c15ca7fc7a4a06c879aefdd238cd5173d1d18deacf19f9e503171da64b64c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lars”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#
*y&éhEJÈ hFˆubh)”}”(hŒr-elasticnet”h#Œ1.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-elasticnet-1.3-r43hc72bb7e_2.conda”h+Œ 96ca8620fe780435992a2d7065482cb5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-elasticnet-1.3-r43hc72bb7e_2.conda”h0Œ@8e14ddc01bbca74ba1b372721148becf6e361a1c85c8142bb2e773e667f3bed9”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-lars”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#
*÷²hEJYÅ hFˆubh)”}”(hŒ	r-ellipse”h#Œ0.4.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ellipse-0.4.5-r41hc72bb7e_0.conda”h+Œ c8dd0579e39d792518b6432f1f7f0afd”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ellipse-0.4.5-r41hc72bb7e_0.conda”h0Œ@3d760d4f01c6bde553abf286fed0481f65ffa39eb5ae642a57e9a18302c0c781”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙb?Ñ™šhEJqœ hFˆubh)”}”(hŒ	r-ellipse”h#Œ0.4.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ellipse-0.4.5-r42hc72bb7e_0.conda”h+Œ a09e147bd75694119115b4ef88a95693”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ellipse-0.4.5-r42hc72bb7e_0.conda”h0Œ@5bab22b89ca982814135cf148e0c4cc65e693dc3a7789993d78884be8fc1c28b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙbC×KÇhEJvš hFˆubh)”}”(hŒ	r-ellipse”h#Œ0.4.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-ellipse-0.4.5-r42hc72bb7e_1.conda”h+Œ 58d47a38288332c548bb34d972dd64e2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ellipse-0.4.5-r42hc72bb7e_1.conda”h0Œ@f22ca9a6ce98fbff9f914606bf35946c8f25cba8fb3cc6099735c8e66da8fc30”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¥®VhEJKš hFˆubh)”}”(hŒ	r-ellipse”h#Œ0.4.5”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-ellipse-0.4.5-r43hc72bb7e_1.conda”h+Œ 98a5964b06e16e6b1bc87267c5a84e5e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ellipse-0.4.5-r43hc72bb7e_1.conda”h0Œ@2397a488d3f05d3fa191d38c149f577380ae893fd68db3f4315db20aded6861b”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¥}>E¢hEJŠ™ hFˆubh)”}”(hŒ
r-elliptic”h#Œ1.4_0”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ$r-elliptic-1.4_0-r42hc72bb7e_4.conda”h+Œ 8388c500125813b91332f9d3720f3471”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-elliptic-1.4_0-r42hc72bb7e_4.conda”h0Œ@b0b71e7250dbfd341f55c9287bdbc818536b3344bcc7c20630c6c4216d0341ff”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"«Õ+t¼hEJ. hFˆubh)”}”(hŒ
r-elliptic”h#Œ1.4_0”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ$r-elliptic-1.4_0-r43hc72bb7e_4.conda”h+Œ 16e4352829cf433be8884e27e1b8e4a1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-elliptic-1.4_0-r43hc72bb7e_4.conda”h0Œ@4e39bd56f73d148ffc1e23bfe846695674ec0c93362b0cbaf72a2676685fe420”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"«ÍýOßhEJ¶ hFˆubh)”}”(hŒ	r-emayili”h#Œ0.7.15”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-emayili-0.7.15-r41hc72bb7e_0.conda”h+Œ f27756900f3285fdee50acaeb227161d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-emayili-0.7.15-r41hc72bb7e_0.conda”h0Œ@121eab31e703dedaa99e1a986382ecbf167b0e929a5547fbaa369ab723990a3d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-commonmark”Œr-curl >=4.0”Œr-digest”Œr-dplyr”Œr-glue”Œr-htmltools”Œr-httr”Œr-logger”Œ
r-magrittr”Œr-mime”Œr-purrr”Œr-rmarkdown”Œr-rvest”Œ	r-stringi”Œ	r-stringr”Œr-tidyr”Œ
r-urltools”Œr-xfun”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ'ôÄœhEJº¦ hFˆubh)”}”(hŒ	r-emayili”h#Œ0.7.15”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-emayili-0.7.15-r42hc72bb7e_0.conda”h+Œ 920dced5a02f25f012dedbbfc9a0370a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-emayili-0.7.15-r42hc72bb7e_0.conda”h0Œ@def98a1308ffbab1608566e35725fd0ef42ea72a80f83af7e2c1fba8e6973cb7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-commonmark”Œr-curl >=4.0”Œr-digest”Œr-dplyr”Œr-glue”Œr-htmltools”Œr-httr”Œr-logger”Œ
r-magrittr”Œr-mime”Œr-purrr”Œr-rmarkdown”Œr-rvest”Œ	r-stringi”Œ	r-stringr”Œr-tidyr”Œ
r-urltools”Œr-xfun”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ( ‡;dhEJ&¥ hFˆubh)”}”(hŒr-embed”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-embed-1.1.1-r41hc72bb7e_0.conda”h+Œ e898e966ece14bfd097f126dd95b18bc”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-embed-1.1.1-r41hc72bb7e_0.conda”h0Œ@2424d5c9c89bab4015dca4d8382016f1ebc129c691e5058b1e427f1ece04d5a9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-generics >=0.1.0”Œr-glue”Œr-keras”Œr-lifecycle”Œr-purrr”Œr-recipes >=0.1.17”Œr-rlang >=0.4.10”Œ	r-rsample”Œr-tensorflow”Œr-tibble”Œr-tidyr”Œr-uwot”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙxFXQìhEJqŒ hFˆubh)”}”(hŒr-embed”h#Œ1.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-embed-1.1.1-r42hc72bb7e_0.conda”h+Œ 2457de3238f1aee88c36bbfc1fca1be4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-embed-1.1.1-r42hc72bb7e_0.conda”h0Œ@0eacc4c335f4c1415f94d471013836f880d9f6188a0774bb547f63796756a50b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-generics >=0.1.0”Œr-glue”Œr-keras”Œr-lifecycle”Œr-purrr”Œr-recipes >=0.1.17”Œr-rlang >=0.4.10”Œ	r-rsample”Œr-tensorflow”Œr-tibble”Œr-tidyr”Œr-uwot”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙxGD9XhEJ!‹ hFˆubh)”}”(hŒr-eml”h#Œ2.0.6.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-eml-2.0.6.1-r42hc72bb7e_2.conda”h+Œ ed88875ceb6eb9abf59872b9e16f3cf1”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-eml-2.0.6.1-r42hc72bb7e_2.conda”h0Œ@fee572af706d902cbd6d97a5e2e5123350cd65c744748190ec6d15b2bca2e519”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-dplyr”Œr-emld >=0.0.0.9900”Œr-jqr”Œ
r-jsonlite”Œr-rmarkdown”Œr-uuid”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#
?nùÛhEJ5 hFˆubh)”}”(hŒr-eml”h#Œ2.0.6.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-eml-2.0.6.1-r43hc72bb7e_2.conda”h+Œ 10c564985356236087bd7c0bc3c457b3”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-eml-2.0.6.1-r43hc72bb7e_2.conda”h0Œ@f366ba312bd81a6368eb62c43081f32e951c2693950ed84c7a527362cbe322bf”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest”Œr-dplyr”Œr-emld >=0.0.0.9900”Œr-jqr”Œ
r-jsonlite”Œr-rmarkdown”Œr-uuid”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#
1ËdZhEJÄ4 hFˆubh)”}”(hŒr-emld”h#Œ0.5.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-emld-0.5.1-r42hc72bb7e_2.conda”h+Œ 2e59980fe774138604e1678848c9a6cd”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-emld-0.5.1-r42hc72bb7e_2.conda”h0Œ@e2797686d7458eef85251201471b424960c36842d70228d36980b29cf81d21ea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-jsonld”Œ
r-jsonlite”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"÷G3÷ÏhEJ9N hFˆubh)”}”(hŒr-emld”h#Œ0.5.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-emld-0.5.1-r43hc72bb7e_2.conda”h+Œ 916e2091b5ed7191e4f89c4c79031146”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-emld-0.5.1-r43hc72bb7e_2.conda”h0Œ@6061e19bcad223a1fd9b0af455177fb101bd85a1269d5becc647d86b236b67f9”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-jsonld”Œ
r-jsonlite”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"÷AìýôhEJH hFˆubh)”}”(hŒ	r-emmeans”h#Œ1.8.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-emmeans-1.8.6-r41hc72bb7e_0.conda”h+Œ 4bf6442a441ac88e690159b0513bed33”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-emmeans-1.8.6-r41hc72bb7e_0.conda”h0Œ@5b3fbfa99dcb2435be14962e3be8747fb26cb312213668449e43de6bfe317456”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-estimability >=1.4.1”Œ	r-mvtnorm”Œ
r-numderiv”Œr-xtable >=1.8_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙd>záhEJÖÊ hFˆubh)”}”(hŒ	r-emmeans”h#Œ1.8.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-emmeans-1.8.6-r42hc72bb7e_0.conda”h+Œ af656233505f3cba338011fb087fefb5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-emmeans-1.8.6-r42hc72bb7e_0.conda”h0Œ@492f2e3e32b54939ab6b001895aa5393a83c641048df047c1ef4b4a842a22599”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-estimability >=1.4.1”Œ	r-mvtnorm”Œ
r-numderiv”Œr-xtable >=1.8_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙd<£dZhEJ·Ê hFˆubh)”}”(hŒ	r-emmeans”h#Œ1.8.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-emmeans-1.8.6-r42hc72bb7e_1.conda”h+Œ 7ebeb614c27f680e150d517bb35d48c6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-emmeans-1.8.6-r42hc72bb7e_1.conda”h0Œ@c7de72e4493ed47a5a799a5bfe686f421e65a6fc69a391c7b36dd2b3e8e1ff98”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-estimability >=1.4.1”Œ	r-mvtnorm”Œ
r-numderiv”Œr-xtable >=1.8_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¥Ss…hEJ0Æ hFˆubh)”}”(hŒ	r-emmeans”h#Œ1.8.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-emmeans-1.8.6-r43hc72bb7e_1.conda”h+Œ 36af00273f9085b4e8de7c03f4f7ad18”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-emmeans-1.8.6-r43hc72bb7e_1.conda”h0Œ@0b2f21c38b92b25d1527a744f278708608a56c19851875b70166280b6a45daf6”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-estimability >=1.4.1”Œ	r-mvtnorm”Œ
r-numderiv”Œr-xtable >=1.8_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¥a]ãThEJ}è hFˆubh)”}”(hŒr-emt”h#Œ1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-emt-1.3-r41hc72bb7e_0.conda”h+Œ 7604f066f0379bef90f9895f4651a843”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-emt-1.3-r41hc72bb7e_0.conda”h0Œ@c6b34fd6917e1377d81ac6e9b1ee518e1538ae001e71600649418dc87a2083e7”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØø{ßYÛ#hEM¼ÙhFˆubh)”}”(hŒr-emt”h#Œ1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-emt-1.3-r42hc72bb7e_0.conda”h+Œ 5d4af08abeeb27643875f2797b429bce”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-emt-1.3-r42hc72bb7e_0.conda”h0Œ@24b346731d683e7efdec1b794295986e86030b66d2c8be16e9210045cbcb8742”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØø{ÎŠ^5hEM¯ÙhFˆubh)”}”(hŒ	r-english”h#Œ1.2_6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-english-1.2_6-r42hc72bb7e_2.conda”h+Œ 615bbc52d4919c801235c356031bff4f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-english-1.2_6-r42hc72bb7e_2.conda”h0Œ@3d1258142aec6478c1ea8c5476e4c09cdcca033d1fd70de8d2db58cb0c9f6423”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#
,ËdZhEJ—) hFˆubh)”}”(hŒ	r-english”h#Œ1.2_6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-english-1.2_6-r43hc72bb7e_2.conda”h+Œ 52364990be48ffa99e2955a78e6ecce4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-english-1.2_6-r43hc72bb7e_2.conda”h0Œ@879d5230ec7f5bea71d6b76823cfa5d37fbedb14ff21a5869978956db7222c3c”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#
3'PhEJ‹* hFˆubh)”}”(hŒ	r-enmeval”h#Œ2.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-enmeval-2.0.4-r41hc72bb7e_0.conda”h+Œ 24b6b172aadddc90f35dfc585d88618c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-enmeval-2.0.4-r41hc72bb7e_0.conda”h0Œ@9774150ed42a29d5e6b600539489496e0769e96ba5dc037ef2c47b4255e297ab”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dismo”Œr-doparallel”Œr-dosnow”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glmnet”Œ
r-magrittr”Œr-maxnet”Œr-rangemodelmetadata”Œr-raster”Œr-sp”Œ
r-testthat”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØï?“33hEJQ{ hFˆubh)”}”(hŒ	r-enmeval”h#Œ2.0.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-enmeval-2.0.4-r42hc72bb7e_0.conda”h+Œ e74e504f7fce8c9bfa969625cbd2f0bd”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-enmeval-2.0.4-r42hc72bb7e_0.conda”h0Œ@e707d077fd445d083c70fe0ec3bf40b40816831ea1a444876152b8d79e89be53”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dismo”Œr-doparallel”Œr-dosnow”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glmnet”Œ
r-magrittr”Œr-maxnet”Œr-rangemodelmetadata”Œr-raster”Œr-sp”Œ
r-testthat”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØï>LÌÍhEJÔ} hFˆubh)”}”(hŒ	r-enrichr”h#Œ3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-enrichr-3.2-r41hc72bb7e_0.conda”h+Œ a7beb7d60a3d3009d6b31d475508f85d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-enrichr-3.2-r41hc72bb7e_0.conda”h0Œ@4a4b514bd196239d24d2b1b72c271697c86dc08dd10c4f4663c0c9c27aacde9f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl”Œ	r-ggplot2”Œr-httr”Œr-rjson”Œ
r-writexls”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙSÆc¶FhEJž[ hFˆubh)”}”(hŒ	r-enrichr”h#Œ3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-enrichr-3.2-r42hc72bb7e_0.conda”h+Œ ab00ac3f7867326fffb844bfa2c53688”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-enrichr-3.2-r42hc72bb7e_0.conda”h0Œ@1bdcabd132d8a06d5eefa32bf6e8e8ab62d7ac097402d4409deeb5a6798f399d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œ	r-ggplot2”Œr-httr”Œr-rjson”Œ
r-writexls”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙSÎ£hEJÆ[ hFˆubh)”}”(hŒ	r-entropy”h#Œ1.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-entropy-1.3.1-r42hc72bb7e_2.conda”h+Œ 3c50322572090e8d9d4d7c77b5a42c85”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-entropy-1.3.1-r42hc72bb7e_2.conda”h0Œ@950263310d235ab89827fd98e6ce4438dc69e48f6b66a4f6204c35a80967f1b0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"÷GÎE¢hEJ¶¢ hFˆubh)”}”(hŒ	r-entropy”h#Œ1.3.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-entropy-1.3.1-r43hc72bb7e_2.conda”h+Œ 16d63b322d42e8aa4e6bb0250c5b2864”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-entropy-1.3.1-r43hc72bb7e_2.conda”h0Œ@b3ab8de6dd4227e3df8b6fe74f7bd97d2b7c1a75dcb2855d255148f468635e88”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"÷GShEJ¡ hFˆubh)”}”(hŒr-epir”h#Œ2.0.61”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-epir-2.0.61-r41hc72bb7e_0.conda”h+Œ ac6040ec830d36150c36b66f0599356f”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-epir-2.0.61-r41hc72bb7e_0.conda”h0Œ@709fa8b6421487d92817ddec6d733c9e809ea6e86893c87f2ad8e221b6bd1b8f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-biasedurn”Œr-flextable”Œr-lubridate”Œ	r-officer”Œr-pander”Œr-sf”Œ
r-survival”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙˆcâ=qhEJÒï hFˆubh)”}”(hŒr-epir”h#Œ2.0.61”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-epir-2.0.61-r42hc72bb7e_0.conda”h+Œ 3dc2ee82f14ecc2cef8a3152aaa1deeb”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-epir-2.0.61-r42hc72bb7e_0.conda”h0Œ@059a16f369207489ce70b44daa57bce304ecc39165dfe11faa242cb4749e1e2d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-biasedurn”Œr-flextable”Œr-lubridate”Œ	r-officer”Œr-pander”Œr-sf”Œ
r-survival”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙˆJÊ~úhEJ¦ô hFˆubh)”}”(hŒ
r-errorist”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-errorist-0.1.1-r41hc72bb7e_0.conda”h+Œ ef80ee2c1bb39356b1daf076828d09a4”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-errorist-0.1.1-r41hc72bb7e_0.conda”h0Œ@124cb0ec903103e0d4995005473c52f5f38fe7873436299b8bd7f612459e117f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-searcher >=0.0.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙB¸ë33hEM¦hFˆubh)”}”(hŒ
r-errorist”h#Œ0.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-errorist-0.1.1-r42hc72bb7e_0.conda”h+Œ cf8e4436d4e3f66355c97aac2329acfe”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-errorist-0.1.1-r42hc72bb7e_0.conda”h0Œ@31e2608fe75bb1c0ed17bd080289d3301edc5014460994bee457a20fa1c22c82”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-searcher >=0.0.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙB©
MÓhEM!¦hFˆubh)”}”(hŒr-estimability”h#Œ1.4.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-estimability-1.4.1-r42hc72bb7e_2.conda”h+Œ 07d8f6fedb37e4052e91af6cbe622e65”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-estimability-1.4.1-r42hc72bb7e_2.conda”h0Œ@4076ab7eab31a888f1393cf74e29022a628bbab9300a0b452c5b8cb98f5a148b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"ÐøÄœhEM¿êhFˆubh)”}”(hŒr-estimability”h#Œ1.4.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-estimability-1.4.1-r43hc72bb7e_2.conda”h+Œ 6375d8ee1d0bbc1d2e74993498e3bac2”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-estimability-1.4.1-r43hc72bb7e_2.conda”h0Œ@ca5b7d6e48646ce3793972226ac80d7a11d8d4f4cc24b6baf05219f92f4be197”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"å®¸RhEMQéhFˆubh)”}”(hŒ
r-evaluate”h#Œ0.21”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-evaluate-0.21-r41hc72bb7e_0.conda”h+Œ c45a9a35d32b9d0f08298e3324ef15fe”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-evaluate-0.21-r41hc72bb7e_0.conda”h0Œ@4ecd9f4e2395a5be9c5c3d7a45c8600a799fba12268dd0e80cece8f67ea979b5”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙkúdZhEJX] hFˆubh)”}”(hŒ
r-evaluate”h#Œ0.21”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-evaluate-0.21-r42hc72bb7e_0.conda”h+Œ abf81ebd93aabce622e7bcd0e3be9557”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-evaluate-0.21-r42hc72bb7e_0.conda”h0Œ@a0a333ba37bb47368773d866f79774db87712e9bc7c1e5155168b3b252375899”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙl	ë…hEJý^ hFˆubh)”}”(hŒ
r-evaluate”h#Œ0.21”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-evaluate-0.21-r42hc72bb7e_1.conda”h+Œ 238b99daa8e54ba70737e3de8edaef87”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-evaluate-0.21-r42hc72bb7e_1.conda”h0Œ@60182f43c9dbe22014464906b1c830c079c3d6d50f9b4d3fae24e3a43c7c2731”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"*kkt¼hEJ^ hFˆubh)”}”(hŒ
r-evaluate”h#Œ0.21”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-evaluate-0.21-r43hc72bb7e_1.conda”h+Œ 0942914e900c5964190551837ad7e12d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-evaluate-0.21-r43hc72bb7e_1.conda”h0Œ@b016f2ddff874a3f2eeced25067b88f1a3536ac8ee1aa35e62da2d5180b6792e”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"*pÏl‹hEJï\ hFˆubh)”}”(hŒr-exact”h#Œ3.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-exact-3.2-r42hc72bb7e_2.conda”h+Œ bc622a668b7bd31efe931e1a0e7902e6”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-exact-3.2-r42hc72bb7e_2.conda”h0Œ@672933fb7e1d1ad33c5f87347a5e2a11005cee1740771f10c74ce0115d7ea3da”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rootsolve”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#
VhEJEJ hFˆubh)”}”(hŒr-exact”h#Œ3.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-exact-3.2-r43hc72bb7e_2.conda”h+Œ 289f366db9db8a74146f5e2e9a8cf6e2”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-exact-3.2-r43hc72bb7e_2.conda”h0Œ@9b5323c2dbda9dc1c5be8a19f6df559d2e6f0142e7cf1076319807ced8b71ae2”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-rootsolve”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#
w®hEJuJ hFˆubh)”}”(hŒ
r-exact2x2”h#Œ1.6.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-exact2x2-1.6.8-r41hc72bb7e_0.conda”h+Œ db3064744052191db8e9f4c8fb94a965”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-exact2x2-1.6.8-r41hc72bb7e_0.conda”h0Œ@c52bd5800d5f8539f328f18a3b39579e5a33635835737349ca0c73e397359f85”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-exactci”Œr-ssanv”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØùVLz=qhEJ … hFˆubh)”}”(hŒ
r-exact2x2”h#Œ1.6.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-exact2x2-1.6.8-r42hc72bb7e_0.conda”h+Œ 0c10365bf6781608ee82b22dd855c6dc”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-exact2x2-1.6.8-r42hc72bb7e_0.conda”h0Œ@41794bff7392b09b6b378a23d43cc8fb986f87b8980d9145f34023c18ef2dfa6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-exactci”Œr-ssanv”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØùVLÄœhEJ¿… hFˆubh)”}”(hŒ	r-explore”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-explore-1.0.2-r41hc72bb7e_0.conda”h+Œ 9b3fe53099928371bab8a669c4d50d41”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-explore-1.0.2-r41hc72bb7e_0.conda”h0Œ@cc5e4cd9a4416c88af5878d5c56317baf0e917140c6f5c0c17abe0963e35f305”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr”Œr-dt >=0.3.0”Œ	r-forcats”Œr-ggplot2 >=3.0.0”Œr-gridextra”Œ
r-magrittr”Œr-mass”Œr-rlang”Œr-rmarkdown”Œr-rpart”Œr-rpart.plot”Œr-shiny”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØð´gOßhEJÚ hFˆubh)”}”(hŒ	r-explore”h#Œ1.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-explore-1.0.2-r42hc72bb7e_0.conda”h+Œ ea49d6a63a19dabefa41c7a251250ba0”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-explore-1.0.2-r42hc72bb7e_0.conda”h0Œ@ecff53be31b2c998270c02cd363dee6b3d4c960d6fe671fa77cce42d079f6d35”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr”Œr-dt >=0.3.0”Œ	r-forcats”Œr-ggplot2 >=3.0.0”Œr-gridextra”Œ
r-magrittr”Œr-mass”Œr-rlang”Œr-rmarkdown”Œr-rpart”Œr-rpart.plot”Œr-shiny”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØð´ua&éhEJ¥Ò hFˆubh)”}”(hŒ	r-extdist”h#Œ0.7_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-extdist-0.7_1-r41hc72bb7e_0.conda”h+Œ b95bf9e0f16793c578c216c13f5fee2e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-extdist-0.7_1-r41hc72bb7e_0.conda”h0Œ@704123b34a7af0e25d26d3d3c868aafef8b8fdcf46e2c08b7f92e4aea577e836”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-numderiv”Œr-optimx”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØö|¡Ü(öhEJÑ× hFˆubh)”}”(hŒ	r-extdist”h#Œ0.7_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-extdist-0.7_1-r42hc72bb7e_0.conda”h+Œ 4d58b3a111131d5a1bee62fd8d7d46dd”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-extdist-0.7_1-r42hc72bb7e_0.conda”h0Œ@38eb8b162e35c568a984dc2bb5f278d100d1b662b6e528a11ebeaca375d972c5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-numderiv”Œr-optimx”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØö|žc…hEJµ× hFˆubh)”}”(hŒr-extrafont”h#Œ0.19”h%Œr42ha770c72_1”h'Khhh(h)hŒ$r-extrafont-0.19-r42ha770c72_1.conda”h+Œ ccab24dde11f1805bc83724c25f65c2d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-extrafont-0.19-r42ha770c72_1.conda”h0Œ@7a4039928b781b008e2b061b7d8c0861fcefe9cecbbd68ad4303aad727a08e23”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-extrafontdb”Œ
r-rttf2pt1”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Ù0ÈbhEJ†
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r-rttf2pt1”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Ù9O
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r-generics”Œr-ggplot2 >=3.0.0”Œr-lifecycle”Œr-progressr”Œr-r6”Œr-rlang >=0.4.5”Œr-tibble >=1.4.1”Œr-tidyr >=1.1.0”Œr-tidyselect”Œr-tsibble >=0.9.0”Œr-vctrs >=0.2.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ)ï˜å`hEJ04
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r-generics”Œr-ggplot2 >=3.0.0”Œr-lifecycle”Œr-progressr”Œr-r6”Œr-rlang >=0.4.5”Œr-tibble >=1.4.1”Œr-tidyr >=1.1.0”Œr-tidyselect”Œr-tsibble >=0.9.0”Œr-vctrs >=0.2.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ)î?}hEJï5
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r-magrittr”Œr-readr >=1.3.0”Œr-rmarkdown >=1.4”Œr-rvest”Œr-scales”Œr-tibble”Œr-tidyr”Œr-xml2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØü<µW hEJ¬Ë hFˆubh)”}”(hŒ	r-fastqcr”h#Œ0.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-fastqcr-0.1.3-r42hc72bb7e_0.conda”h+Œ cddc802121353cecd5341bcea3bdc897”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fastqcr-0.1.3-r42hc72bb7e_0.conda”h0Œ@0c68980a060c5aee4c27e0471e120775e5640fff8c9a901642354c09cb153147”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-gridextra”Œ
r-magrittr”Œr-readr >=1.3.0”Œr-rmarkdown >=1.4”Œr-rvest”Œr-scales”Œr-tibble”Œr-tidyr”Œr-xml2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØü<ªëçmhEJÎ hFˆubh)”}”(hŒ	r-fauxpas”h#Œ0.5.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-fauxpas-0.5.2-r41hc72bb7e_0.conda”h+Œ 709da99333fcca57f8b193942ec80d1a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fauxpas-0.5.2-r41hc72bb7e_0.conda”h0Œ@b8c0015da3583279a474d80ea8835ca98cdd6a39aa8407663c6e6aa5a552662e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httpcode >=0.3.0”Œr-r6 >=2.1.2”Œ	r-whisker”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ-í¡ËhEJÐX hFˆubh)”}”(hŒ	r-fauxpas”h#Œ0.5.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-fauxpas-0.5.2-r42hc72bb7e_0.conda”h+Œ efa9a1185178d0651d2473e844514e38”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fauxpas-0.5.2-r42hc72bb7e_0.conda”h0Œ@234957e3bdd7af0ee18025a03e9910b9d8109d9698f955a24104f77bdbc45272”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httpcode >=0.3.0”Œr-r6 >=2.1.2”Œ	r-whisker”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ,ó8  hEJ¦4 hFˆubh)”}”(hŒr-fcps”h#Œ1.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-fcps-1.3.3-r41hc72bb7e_0.conda”h+Œ c977e511dede4fa6c96d72b9f8ebd024”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-fcps-1.3.3-r41hc72bb7e_0.conda”h0Œ@7d515303193ab519c4a0030f0050bc483dbb7a8b79384a26e5d15f05bfd0a02b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-datavisualizations”Œ	r-ggplot2”Œr-mclust”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙqÆ¿¾whEJœ< hFˆubh)”}”(hŒr-fcps”h#Œ1.3.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-fcps-1.3.3-r42hc72bb7e_0.conda”h+Œ 815d319418154f8d8ee621576881f1b0”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-fcps-1.3.3-r42hc72bb7e_0.conda”h0Œ@23c2a0125db5c81ee4ea94502bc62a5456893b36cb3d27ce45cedef4b280761e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-datavisualizations”Œ	r-ggplot2”Œr-mclust”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙqÅ¼¼jhEJ©™< hFˆubh)”}”(hŒr-fda”h#Œ6.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-fda-6.1.4-r41hc72bb7e_0.conda”h+Œ 0e08c8973dfa3f775de82b94c85e22b2”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fda-6.1.4-r41hc72bb7e_0.conda”h0Œ@b11539224de9f8a82baa441a8fc12af77f022886161fea4b5fd70226a8235302”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-desolve”Œr-fds”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙZÞÕ?}hEJSP( hFˆubh)”}”(hŒr-fda”h#Œ6.1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-fda-6.1.4-r42hc72bb7e_0.conda”h+Œ ebab9ab8e3e976cb763e735e7ccd60ee”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fda-6.1.4-r42hc72bb7e_0.conda”h0Œ@a570f472190789a0ae94c8519951207cb6e69cd8cd055fd06b5b4db8c4fa304e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-desolve”Œr-fds”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙZÖ¸hEJ§U( hFˆubh)”}”(hŒr-fda”h#Œ6.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-fda-6.1.4-r42hc72bb7e_1.conda”h+Œ 6a57c3e55d3651abbdac604263cfa194”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fda-6.1.4-r42hc72bb7e_1.conda”h0Œ@2590c183c402a1fb6cb9653adc161eb670361c184c2014ee98944bc5a5d799d2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-desolve”Œr-fds”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ñ®Û33hEJ«Y( hFˆubh)”}”(hŒr-fda”h#Œ6.1.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-fda-6.1.4-r43hc72bb7e_1.conda”h+Œ 152fb5a585ae376a6ce8ff002c9de12f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fda-6.1.4-r43hc72bb7e_1.conda”h0Œ@2f66078fe5ba966e9572eeab2f2c02a39531fb86b0727537b85b3017a1b7a913”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-desolve”Œr-fds”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ñ«ÚÐåhEJœ>( hFˆubh)”}”(hŒr-fds”h#Œ1.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-fds-1.8-r42hc72bb7e_2.conda”h+Œ 3c54e3dd6eba29c0e5350dc23da58565”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-fds-1.8-r42hc72bb7e_2.conda”h0Œ@44621b06cf55dd90dda4c57df78a195ad8741c4db582637e93f5176effe4e96b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-rainbow”Œr-rcurl”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"åÅu/hEJtË= hFˆubh)”}”(hŒr-fds”h#Œ1.8”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-fds-1.8-r43hc72bb7e_2.conda”h+Œ 23862d51a96f589d3e5912ca0d6d366c”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-fds-1.8-r43hc72bb7e_2.conda”h0Œ@d5b0ce50bee1cc218704e163318cab98e6f685f419dc677a439021208db51ff6”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-rainbow”Œr-rcurl”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"åÆ²ÐåhEJ®Å= hFˆubh)”}”(hŒr-feasts”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-feasts-0.3.1-r41hc72bb7e_0.conda”h+Œ 0b7300a871d39b350f9d226334fdc3e6”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-feasts-0.3.1-r41hc72bb7e_0.conda”h0Œ@e79538434e19391123be621f48ccfdd66edd8facd5c76c6ef60fba371fa79c28”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-fabletools >=0.3.1”Œr-ggplot2 >=3.0.0”Œr-gtable”Œr-lifecycle”Œr-lubridate”Œr-rlang >=0.2.0”Œr-scales >=1.1.0”Œr-slider”Œr-tibble >=1.4.1”Œr-tidyr >=0.8.3”Œr-tsibble >=0.9.0”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÈÙDýôhEJ7U hFˆubh)”}”(hŒr-feasts”h#Œ0.3.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-feasts-0.3.1-r42hc72bb7e_0.conda”h+Œ 2d5afe37a4c154b5fd4793b860f52314”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-feasts-0.3.1-r42hc72bb7e_0.conda”h0Œ@14be15d1e88dfcbbf582c0989eb5d833be49254ff4d210fc36c6d14bb36f1554”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-fabletools >=0.3.1”Œr-ggplot2 >=3.0.0”Œr-gtable”Œr-lifecycle”Œr-lubridate”Œr-rlang >=0.2.0”Œr-scales >=1.1.0”Œr-slider”Œr-tibble >=1.4.1”Œr-tidyr >=0.8.3”Œr-tsibble >=0.9.0”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÈár\hEJ­^ hFˆubh)”}”(hŒ	r-fftrees”h#Œ2.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-fftrees-2.0.0-r41hc72bb7e_0.conda”h+Œ d686338df6ce3b7b91c512e1f2ccabc3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fftrees-2.0.0-r41hc72bb7e_0.conda”h0Œ@8b46af4d7a2bf5cfe1874835fbb6e7e14266d168304bc28a26617166aea69b7d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-caret”Œr-cli”Œr-dplyr”Œr-e1071”Œr-knitr”Œ
r-magrittr”Œ
r-progress”Œr-randomforest”Œr-rpart”Œr-scales”Œ	r-stringr”Œ
r-testthat”Œr-tibble”Œr-tidyselect”t”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙ¡ª¹‡hEJ)5 hFˆubh)”}”(hŒ	r-fftrees”h#Œ2.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-fftrees-2.0.0-r42hc72bb7e_0.conda”h+Œ fe9d353e08275de592968996e59ffb7f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fftrees-2.0.0-r42hc72bb7e_0.conda”h0Œ@cfdf6e54b7f7bde5991e2e2d4c18fa16107084274fb154ff40c8a332005ff138”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-caret”Œr-cli”Œr-dplyr”Œr-e1071”Œr-knitr”Œ
r-magrittr”Œ
r-progress”Œr-randomforest”Œr-rpart”Œr-scales”Œ	r-stringr”Œ
r-testthat”Œr-tibble”Œr-tidyselect”t”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙ¡¯´9hEJr5 hFˆubh)”}”(hŒr-filesstrings”h#Œ3.2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-filesstrings-3.2.4-r41hc72bb7e_0.conda”h+Œ ca8cecba74cdb308bb0f7a54e83f00fb”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-filesstrings-3.2.4-r41hc72bb7e_0.conda”h0Œ@4c058696bf2619d40a1c17da5a5cd83eb4c45effbff3cf817f0fdf7483164d7a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate >=1.9.3”Œr-magrittr >=1.5”Œr-purrr >=0.3.0”Œr-rlang >=0.3.3”Œr-strex >=1.3.1”Œr-stringi >=1.5”Œr-stringr >=1.4”Œr-withr >=2.1.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôeHÔ‹DhEJ hFˆubh)”}”(hŒr-filesstrings”h#Œ3.2.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-filesstrings-3.2.4-r42hc72bb7e_0.conda”h+Œ e21e188f7c1b2f466b22f1f338d18dda”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-filesstrings-3.2.4-r42hc72bb7e_0.conda”h0Œ@3e6bca03ce4c3e19d5d1a89c6f9644dd11875a89f3d1b59545a0326d1460176b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate >=1.9.3”Œr-magrittr >=1.5”Œr-purrr >=0.3.0”Œr-rlang >=0.3.3”Œr-strex >=1.3.1”Œr-stringi >=1.5”Œr-stringr >=1.4”Œr-withr >=2.1.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôeG5?}hEJE hFˆubh)”}”(hŒ
r-finalfit”h#Œ1.0.6”h%Œr41h785f33e_0”h'K hhh(h)hŒ$r-finalfit-1.0.6-r41h785f33e_0.conda”h+Œ c120a599d33cc8e8c7726fc8cbd2a28b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-finalfit-1.0.6-r41h785f33e_0.conda”h0Œ@b1e68c02f261722b2e6cb1e752ec7133db2d7b79bc4272dc3c2466c709848062”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bdsmatrix”Œr-boot”Œr-broom”Œr-dplyr”Œ	r-forcats”Œr-ggally”Œ	r-ggplot2”Œr-gridextra”Œr-lme4”Œ
r-magrittr”Œr-mice”Œr-pillar”Œr-proc”Œr-purrr”Œr-scales”Œ	r-stringr”Œ
r-survival”Œr-tidyr >=1.0.0”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØð¼y™šhEJÁ^2 hFˆubh)”}”(hŒ
r-finalfit”h#Œ1.0.6”h%Œr42h785f33e_0”h'K hhh(h)hŒ$r-finalfit-1.0.6-r42h785f33e_0.conda”h+Œ 38d52544b1decd34f1b1bd15069f50bd”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-finalfit-1.0.6-r42h785f33e_0.conda”h0Œ@6df4da96636ff8eb1cc07aba8154d6993e216d82341f4e74f35b89ebc46b3ae9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bdsmatrix”Œr-boot”Œr-broom”Œr-dplyr”Œ	r-forcats”Œr-ggally”Œ	r-ggplot2”Œr-gridextra”Œr-lme4”Œ
r-magrittr”Œr-mice”Œr-pillar”Œr-proc”Œr-purrr”Œr-scales”Œ	r-stringr”Œ
r-survival”Œr-tidyr >=1.0.0”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØð¼ª°!hEJId2 hFˆube(h)”}”(hŒr-findpython”h#Œ1.0.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-findpython-1.0.8-r41hc72bb7e_0.conda”h+Œ 38d5a9df98df953e21ba338ba2249c75”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-findpython-1.0.8-r41hc72bb7e_0.conda”h0Œ@ebc97ef997c6e7fa55a3d6701f19a14dc9b698b2da155c31078f64fe679bc41b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ=["\hEMBrhFˆubh)”}”(hŒr-findpython”h#Œ1.0.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-findpython-1.0.8-r42hc72bb7e_0.conda”h+Œ ee09f3df831a641ab9af546941cdad8d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-findpython-1.0.8-r42hc72bb7e_0.conda”h0Œ@da4f9656d8f61c649d33d1d1f83c39ac9643c1c7e1da0cfea4a27b64104ddc44”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ=b~¸RhEM9rhFˆubh)”}”(hŒ
r-finetune”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-finetune-1.1.0-r41hc72bb7e_0.conda”h+Œ f085506c88fec16c9d5d210cfaa68165”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-finetune-1.1.0-r41hc72bb7e_0.conda”h0Œ@75e2aaac0fd93f405ec7dab6c2e0dec635ee7a37917255b3e7ae6359993c96d3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dials >=0.1.0”Œr-dplyr >=1.1.1”Œ	r-ggplot2”Œr-parsnip >=1.1.0”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-tune >=1.1.1”Œr-vctrs”Œr-workflows >=0.2.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙuÜ9XhEJÜê hFˆubh)”}”(hŒ
r-finetune”h#Œ1.1.0”•      h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-finetune-1.1.0-r42hc72bb7e_0.conda”h+Œ f3c810bd7fe640dbf70e631e4b99ae7a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-finetune-1.1.0-r42hc72bb7e_0.conda”h0Œ@57feaf97b6678b24bac4a9da6a7e81951197d5d1bf3f5efc5d444d051a2f77a8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dials >=0.1.0”Œr-dplyr >=1.1.1”Œ	r-ggplot2”Œr-parsnip >=1.1.0”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-tune >=1.1.1”Œr-vctrs”Œr-workflows >=0.2.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙs&¸RhEJ‘ê hFˆubh)”}”(hŒr-fitdistrplus”h#Œ1.1_11”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-fitdistrplus-1.1_11-r41hc72bb7e_0.conda”h+Œ 4ab30fc7b8d764b26d5e78a5fad25603”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fitdistrplus-1.1_11-r41hc72bb7e_0.conda”h0Œ@0d19285d4ab465084116a155b58ed12ef8a29eb015c80a77fc12714133871dfd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-npsurv”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ¥î§ðhEJŠ« hFˆubh)”}”(hŒr-fitdistrplus”h#Œ1.1_11”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-fitdistrplus-1.1_11-r42hc72bb7e_0.conda”h+Œ be416ac934f92b95ce9d787e26fd4033”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fitdistrplus-1.1_11-r42hc72bb7e_0.conda”h0Œ@a9cffc2d81b1fd1ee3220bc78bf10c62d1ed5b05f69c5ce1e453083a16202a1a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-npsurv”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ´ï hEJu¨ hFˆubh)”}”(hŒr-fitdistrplus”h#Œ1.1_11”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-fitdistrplus-1.1_11-r42hc72bb7e_1.conda”h+Œ 621eedd9b3aba1648456f5e313262ce0”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fitdistrplus-1.1_11-r42hc72bb7e_1.conda”h0Œ@cc2acaf4036cdc5a2fd52fa69fa326eefad8e56509640b09be4f943227d66a68”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-npsurv”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Òßx ÅhEJ”š hFˆubh)”}”(hŒr-fitdistrplus”h#Œ1.1_11”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ)r-fitdistrplus-1.1_11-r43hc72bb7e_1.conda”h+Œ d9132d5b3626417d6c6ea17862f482f3”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fitdistrplus-1.1_11-r43hc72bb7e_1.conda”h0Œ@e321fb9464b7b393f51f8b1207cbe94c696007673693ed3385815cef95e80e09”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-mass”Œr-npsurv”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÒÎ–‡+hEJu  hFˆubh)”}”(hŒr-flexdashboard”h#Œ0.6.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-flexdashboard-0.6.1-r41hc72bb7e_0.conda”h+Œ 2ecb0557857f692ade9947b6d683877c”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-flexdashboard-0.6.1-r41hc72bb7e_0.conda”h0Œ@03db3222b96f5a11c7d35e87519796a4107feb69c2205888d04435836b57d13d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bslib >=0.2.5”Œr-htmltools >=0.5.1”Œr-htmlwidgets >=0.6”Œ
r-jsonlite”Œr-knitr >=1.13”Œr-rmarkdown >=2.8”Œr-sass”Œr-scales”Œr-shiny >=0.13”t”h9hºh@ŒMIT”hBŒMIT”hDGAØóà¸BÀƒhEJ"x hFˆubh)”}”(hŒr-flexdashboard”h#Œ0.6.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-flexdashboard-0.6.1-r42hc72bb7e_0.conda”h+Œ f322085cc1d41dd6b0316544d533624f”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-flexdashboard-0.6.1-r42hc72bb7e_0.conda”h0Œ@e0fc07e79a78bf37ef8b020ffa3b040e20fb1f2bc61a4de7464aff026bc014cc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bslib >=0.2.5”Œr-htmltools >=0.5.1”Œr-htmlwidgets >=0.6”Œ
r-jsonlite”Œr-knitr >=1.13”Œr-rmarkdown >=2.8”Œr-sass”Œr-scales”Œr-shiny >=0.13”t”h9hºh@ŒMIT”hBŒMIT”hDGAØóàÌ QìhEJ x hFˆubh)”}”(hŒ	r-flexmix”h#Œ2.3_19”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-flexmix-2.3_19-r41hc72bb7e_0.conda”h+Œ e633d8a6fd6ee6ba9e375a83e93480c3”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flexmix-2.3_19-r41hc72bb7e_0.conda”h0Œ@ad132f44e91e9963ce7c05792a172ec5bb1bcf12872df39f2dd44af1c9d14151”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-modeltools >=0.2_16”Œr-nnet”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙäÈDýôhEJ~ hFˆubh)”}”(hŒ	r-flexmix”h#Œ2.3_19”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-flexmix-2.3_19-r42hc72bb7e_0.conda”h+Œ 1f71e523b70ed50b7629827dc95f6b74”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flexmix-2.3_19-r42hc72bb7e_0.conda”h0Œ@47e543dc14c0a44bf8ddde89148ab1a432f1f030380c20bad1660f1abaeb697c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-modeltools >=0.2_16”Œr-nnet”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙäÐ´9XhEJàˆ hFˆubh)”}”(hŒ	r-flexmix”h#Œ2.3_19”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-flexmix-2.3_19-r42hc72bb7e_1.conda”h+Œ ab1b707299885cf6c832d0afd1c68970”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flexmix-2.3_19-r42hc72bb7e_1.conda”h0Œ@0e86c2e721c6d90115c9012c3083e511385c12375c31036ab5ea1528a364e8aa”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-modeltools >=0.2_16”Œr-nnet”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¹k˜r°hEJ hFˆubh)”}”(hŒ	r-flexmix”h#Œ2.3_19”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-flexmix-2.3_19-r43hc72bb7e_1.conda”h+Œ d2dc136bb1761eff7cc0efa2ef5f5347”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flexmix-2.3_19-r43hc72bb7e_1.conda”h0Œ@a07fd062782af88923c963bd5f6f397208fcae3b917f9de6d577d48a352359cf”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-lattice”Œr-modeltools >=0.2_16”Œr-nnet”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¹ruVhEJÎ­ hFˆubh)”}”(hŒr-flextable”h#Œ0.9.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-flextable-0.9.1-r41hc72bb7e_0.conda”h+Œ eb962300dff8e831c0787e58a9ad4d7c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-flextable-0.9.1-r41hc72bb7e_0.conda”h0Œ@53d2897805fc5d50e3484cb3efbbc4df2ff9a67b1bfe5e109e1e19c1c1f5226b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.13.0”Œr-gdtools >=0.3.1”Œr-htmltools”Œr-knitr”Œr-officer >=0.6.0”Œr-ragg”Œr-rlang”Œr-rmarkdown”Œr-uuid >=0.1_4”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#÷w hEJ” hFˆubh)”}”(hŒr-flextable”h#Œ0.9.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-flextable-0.9.1-r42hc72bb7e_0.conda”h+Œ 169e541aaffa33143e08c28c415ad917”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-flextable-0.9.1-r42hc72bb7e_0.conda”h0Œ@5adf066fcf4b3c0c40104e25f0b7c2b4e8ba2353cd57d98b314fa5a4f339e93e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.13.0”Œr-gdtools >=0.3.1”Œr-htmltools”Œr-knitr”Œr-officer >=0.6.0”Œr-ragg”Œr-rlang”Œr-rmarkdown”Œr-uuid >=0.1_4”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#ø_®hEJ0– hFˆubh)”}”(hŒr-flextable”h#Œ0.9.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-flextable-0.9.1-r42hc72bb7e_1.conda”h+Œ c7a846910cf45087a13752c3abc4dbe2”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-flextable-0.9.1-r42hc72bb7e_1.conda”h0Œ@f01ece6d24e4c2264472fe53e33af6ea97bf403eda24357aa50a448b6abfa4f6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.13.0”Œr-gdtools >=0.3.1”Œr-htmltools”Œr-knitr”Œr-officer >=0.6.0”Œr-ragg”Œr-rlang”Œr-rmarkdown”Œr-uuid >=0.1_4”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Ì¶—²hEJb“ hFˆubh)”}”(hŒr-flextable”h#Œ0.9.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-flextable-0.9.1-r43hc72bb7e_1.conda”h+Œ 85eb358918078a4cc03d5c979ee96cc6”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-flextable-0.9.1-r43hc72bb7e_1.conda”h0Œ@8e0cebb7e85e0ac56c0e7858aff96fd83c56ba55fa24af2c75164ace142c3f5e”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-data.table >=1.13.0”Œr-gdtools >=0.3.1”Œr-htmltools”Œr-knitr”Œr-officer >=0.6.0”Œr-ragg”Œr-rlang”Œr-rmarkdown”Œr-uuid >=0.1_4”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Ì¶ˆbhEJ(q hFˆubh)”}”(hŒr-fma”h#Œ2.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-fma-2.5-r41hc72bb7e_0.conda”h+Œ 88fb6e944a6677e2709a6221179f13ac”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-fma-2.5-r41hc72bb7e_0.conda”h0Œ@c266a5d44cc7d5e58ea42d55bac96790d1a3b3501dddec6ce3d55c0486b3b371”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-forecast >=8.1”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØûor•/hEJ®… hFˆubh)”}”(hŒr-fma”h#Œ2.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-fma-2.5-r42hc72bb7e_0.conda”h+Œ 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r-prabclus”Œr-robustbase”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØîBý|îhEJ hFˆubh)”}”(hŒr-fpc”h#Œ2.2_10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-fpc-2.2_10-r42hc72bb7e_0.conda”h+Œ 4f40eab1573b6e6935ede9656f35ece8”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-fpc-2.2_10-r42hc72bb7e_0.conda”h0Œ@29599259903d4ff4c2af790cfb896a1523ddc84919b4558444645544619cff7a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-class”Œ	r-cluster”Œ	r-diptest”Œ	r-flexmix”Œ	r-kernlab”Œr-mass”Œr-mclust”Œ
r-prabclus”Œr-robustbase”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØîBøµ¸hEJŒ hFˆubh)”}”(hŒr-fpc”h#Œ2.2_10”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-fpc-2.2_10-r42hc72bb7e_1.conda”h+Œ bb9df4179e8bcce4560a3b2bf1dad098”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-fpc-2.2_10-r42hc72bb7e_1.conda”h0Œ@a8f1b249005054255695925da7ef496df72696e3f41117a4dfbc6455a2fba696”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-class”Œ	r-cluster”Œ	r-diptest”Œ	r-flexmix”Œ	r-kernlab”Œr-mass”Œr-mclust”Œ
r-prabclus”Œr-robustbase”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"Í$éXhEJW hFˆubh)”}”(hŒr-fpc”h#Œ2.2_10”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-fpc-2.2_10-r43hc72bb7e_1.conda”h+Œ c8c1414a70d92422bd07295959410bae”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-fpc-2.2_10-r43hc72bb7e_1.conda”h0Œ@cd83ac2cc86f24e290b5800198c7a396f043ec694db12f9b09c9ea4b5e4bf257”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-class”Œ	r-cluster”Œ	r-diptest”Œ	r-flexmix”Œ	r-kernlab”Œr-mass”Œr-mclust”Œ
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7²hEJ© hFˆubh)”}”(hŒr-gap.datasets”h#Œ0.0.5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-gap.datasets-0.0.5-r42hc72bb7e_2.conda”h+Œ a60082bc0a52ccb32c20bd3301464449”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gap.datasets-0.0.5-r42hc72bb7e_2.conda”h0Œ@3cb2a0dec1e373d012483556fa14c3aaf1f15c6421ba9005c22cee8572b674e8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#	þOßhEJ ­6 hFˆubh)”}”(hŒr-gap.datasets”h#Œ0.0.5”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-gap.datasets-0.0.5-r43hc72bb7e_2.conda”h+Œ 05d9f5ed3bb28c93191e08c46ab15c8b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gap.datasets-0.0.5-r43hc72bb7e_2.conda”h0Œ@d30e5641e1266afe2a2a1a0b06e9835f78545758dfb0c96c7d7fb7776dc7dad9”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#	þÞ¸RhEJq®6 hFˆubh)”}”(hŒr-gapminder”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-gapminder-1.0.0-r41hc72bb7e_0.conda”h+Œ 30a56bcb3e2313899c638853c063ecbc”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gapminder-1.0.0-r41hc72bb7e_0.conda”h0Œ@53a9fa2fc949c612c8d0c308c48721864df7dca072295c3171bfc526fa2f2822”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙk¡™ÊÁhEJÌ˜ hFˆubh)”}”(hŒr-gapminder”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-gapminder-1.0.0-r42hc72bb7e_0.conda”h+Œ 2e1de96d6ecaab4edc133e2cab377981”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gapminder-1.0.0-r42hc72bb7e_0.conda”h0Œ@742379d7aa2e4c5e633ad3bdb12f9957eb1ee455dc474b6f0294aa94e5fad45e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙk¡£•hEJI hFˆubh)”}”(hŒr-gargle”h#Œ1.5.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ"r-gargle-1.5.0-r42h785f33e_0.conda”h+Œ 81a662eb7b07dd6519d697540bbec753”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gargle-1.5.0-r42h785f33e_0.conda”h0Œ@a03fa9ae09245bc0ef7ca1dac9f69558ca620f735add8fa665e23fd9f0beb626”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.0.0”Œr-fs >=1.3.1”Œr-glue >=1.3.0”Œr-httr >=1.4.0”Œ
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=hEJÑ« hFˆubh)”}”(hŒr-gdistance”h#Œ1.6.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-gdistance-1.6.2-r42hc72bb7e_0.conda”h+Œ af1b17883129b5005d6db2d8c197285e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gdistance-1.6.2-r42hc72bb7e_0.conda”h0Œ@9eab616f9022f2505c8b31231de842f70c92b67729ffe4792bd23b98a0f5cd26”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-igraph >=0.7.0”Œr-matrix”Œr-raster >=1.9_19”Œr-sp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙK‘U`BhEJóý hFˆubh)”}”(hŒr-generalizedhyperbolic”h#Œ0.8_4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ1r-generalizedhyperbolic-0.8_4-r42hc72bb7e_2.conda”h+Œ 9145db26a1efaf168cdc5bd8d321567c”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/r-generalizedhyperbolic-0.8_4-r42hc72bb7e_2.conda”h0Œ@0d3f647ea729c6d7092abfbb079d53311167f533ee7c459d1ba5f9cfa02ecb58”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-distributionutils”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#
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r-generics”h#Œ0.1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-generics-0.1.3-r42hc72bb7e_2.conda”h+Œ c492355d73e184353c82b62f5087a601”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-generics-0.1.3-r42hc72bb7e_2.conda”h0Œ@3b0777d1294f6dbb6661829a4ef8c26c49274bfd762cd0b59fd00fc33e200e57”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"rËw+hEJìd hFˆubh)”}”(hŒ
r-generics”h#Œ0.1.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-generics-0.1.3-r43hc72bb7e_2.conda”h+Œ bf424d7238a8a02bd3970346112de34f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-generics-0.1.3-r43hc72bb7e_2.conda”h0Œ@6dc37eda524923a1f55abc722f4ac3799a0b3234b7c050c0fcc29ce8485c2477”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"rË4Ý/hEJ$b hFˆubh)”}”(hŒ
r-geniebpc”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-geniebpc-1.1.0-r41hc72bb7e_0.conda”h+Œ cc0006ede4042fecd038366bfab29c94”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-geniebpc-1.1.0-r41hc72bb7e_0.conda”h0Œ@e1049ee6db45e76bb4e354b910423d7925a73af75299a2219f9b17a4d9ac847d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=2.5.0”Œr-dplyr >=1.0.6”Œr-dtplyr >=1.1.0”Œr-httr”Œ
r-jsonlite”Œr-purrr >=0.3.4”Œr-rlang >=1.0.0”Œr-stringr >=1.4.0”Œr-sunburstr”Œr-tibble >=3.1.2”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ</l‹hEJ¾	 hFˆubh)”}”(hŒ
r-geniebpc”h#Œ1.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-geniebpc-1.1.0-r42hc72bb7e_0.conda”h+Œ 6de5a30957da64a0169d5948dc2b873f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-geniebpc-1.1.0-r42hc72bb7e_0.conda”h0Œ@f72216b52746bd4205273e83e359bb237b0ed4ec1a0126f5627b5e2bf1fd7a8c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=2.5.0”Œr-dplyr >=1.0.6”Œr-dtplyr >=1.1.0”Œr-httr”Œ
r-jsonlite”Œr-purrr >=0.3.4”Œr-rlang >=1.0.0”Œr-stringr >=1.4.0”Œr-sunburstr”Œr-tibble >=3.1.2”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ<Ðr°hEJå¹	 hFˆubh)”}”(hŒ	r-geojson”h#Œ0.3.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-geojson-0.3.4-r42hc72bb7e_2.conda”h+Œ 2015a9de7c46688bbcd4f98f98edeec6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-geojson-0.3.4-r42hc72bb7e_2.conda”h0Œ@59f4f3db5911bc302eeb7e4bb47c996905411156977f639f667d6b668c17e775”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-jqr >=1.1.0”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-protolite >=1.8”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#	ð!XhEJå hFˆubh)”}”(hŒ	r-geojson”h#Œ0.3.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-geojson-0.3.4-r43hc72bb7e_2.conda”h+Œ 8cd7fe90ac64e6254f7f18a44bac350b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-geojson-0.3.4-r43hc72bb7e_2.conda”h0Œ@a84ec2d8bf8cfe728075f71f59270ccdd9e16ef1ae1bc02de2fd2c5deca43356”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-jqr >=1.1.0”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-protolite >=1.8”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#	úG;dhEJ hFˆubh)”}”(hŒr-geojsonio”h#Œ0.11.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-geojsonio-0.11.1-r41hc72bb7e_0.conda”h+Œ 9ed2dbfd99d79f2d3ea4aab2e5ac79b7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geojsonio-0.11.1-r41hc72bb7e_0.conda”h0Œ@107df4b99089ba8de0c060348446d6f64f693e8e5e38f88f309941d68598eb68”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul”Œr-geojson >=0.2.0”Œr-geojsonsf”Œr-jqr”Œr-jsonlite >=0.9.21”Œr-lifecycle”Œ
r-magrittr”Œr-readr >=0.2.2”Œ
r-sf >=0.6”Œr-sp”Œr-v8”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙì)÷ÏhEJ‡— hFˆubh)”}”(hŒr-geojsonio”h#Œ0.11.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-geojsonio-0.11.1-r42hc72bb7e_0.conda”h+Œ 3505f5d5614456a5d1a72ac8e1188440”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geojsonio-0.11.1-r42hc72bb7e_0.conda”h0Œ@3be2a17b9c02ed312bdd18954f9540f75c637f32a599c828333b7fb868893208”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul”Œr-geojson >=0.2.0”Œr-geojsonsf”Œr-jqr”Œr-jsonlite >=0.9.21”Œr-lifecycle”Œ
r-magrittr”Œr-readr >=0.2.2”Œ
r-sf >=0.6”Œr-sp”Œr-v8”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙì(xÕhEJ5¯ hFˆubh)”}”(hŒr-geomapdata”h#Œ2.0_0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-geomapdata-2.0_0-r42hc72bb7e_2.conda”h+Œ 6b4f745baecc842359fdd062be12531b”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geomapdata-2.0_0-r42hc72bb7e_2.conda”h0Œ@c9886ec07ef80dc671ee05e3554e39bd35f27e4dfb3d5b644b0ade44bad6991d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#	îVffhEJL¡ hFˆubh)”}”(hŒr-geomapdata”h#Œ2.0_0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-geomapdata-2.0_0-r43hc72bb7e_2.conda”h+Œ c865e76659a1584d9dbf884855abb022”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geomapdata-2.0_0-r43hc72bb7e_2.conda”h0Œ@31cdec7ef22e42b913480fa5622341d8c620ed16aedc27ca7aa4bb5ed15f2194”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#
Q7LhEJêŸ hFˆubh)”}”(hŒ	r-gfdsurv”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-gfdsurv-0.1.1-r41hc72bb7e_0.conda”h+Œ d00cf0346cb1a4d42047302fa7614fbe”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gfdsurv-0.1.1-r41hc72bb7e_0.conda”h0Œ@0fff76f8a2942320ce3256a8ab42f6fb8faa56b93d6c3fc16a2240c0fb4b47da”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gridextra >=2.3”Œr-magic >=1.5_9”Œr-mass >=7.3_53”Œr-plyr >=1.8.6”Œr-shiny >=1.5.0”Œr-shinyjs >=2.0.0”Œr-shinythemes >=1.1.2”Œr-survival >=3.2_7”Œr-survminer >=0.4.8”Œr-tippy >=0.1.0”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØá›äZhEJ%‰ hFˆubh)”}”(hŒ	r-gfdsurv”h#Œ0.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-gfdsurv-0.1.1-r42hc72bb7e_0.conda”h+Œ 2105f92cc7656500c1892b3f55ea5077”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gfdsurv-0.1.1-r42hc72bb7e_0.conda”h0Œ@ad40a3a4a88a86d2f8109e06f9b9457de78eb06a13f80766b9976acb0f0a5847”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-gridextra >=2.3”Œr-magic >=1.5_9”Œr-mass >=7.3_53”Œr-plyr >=1.8.6”Œr-shiny >=1.5.0”Œr-shinyjs >=2.0.0”Œr-shinythemes >=1.1.2”Œr-survival >=3.2_7”Œr-survminer >=0.4.8”Œr-tippy >=0.1.0”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØáŠN‡+hEJ)Š hFˆubh)”}”(hŒr-gfonts”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-gfonts-0.2.0-r41hc72bb7e_0.conda”h+Œ 41c5be641ac39f3d9b1e7942f18f050d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gfonts-0.2.0-r41hc72bb7e_0.conda”h0Œ@e00a7c1d1aae633aba4fc291cb509cfcab2cafe018b6f39dff38681fdbec00ec”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-crul”Œr-glue”Œr-htmltools”Œ
r-jsonlite”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØñ_0K¶FhEJ,Ž' hFˆubh)”}”(hŒr-gfonts”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-gfonts-0.2.0-r42hc72bb7e_0.conda”h+Œ ee49d58e29f20353e3e2741b81746eab”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gfonts-0.2.0-r42hc72bb7e_0.conda”h0Œ@fc9299b36ce8a0b7f4b3ec6d0b387e94fb7a4f24f310e12230b8230df41e09d4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-crul”Œr-glue”Œr-htmltools”Œ
r-jsonlite”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØñ_>¤ýôhEJ›' hFˆubh)”}”(hŒr-gfonts”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-gfonts-0.2.0-r42hc72bb7e_1.conda”h+Œ 49a5a38863358e337c339a1557abacb9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gfonts-0.2.0-r42hc72bb7e_1.conda”h0Œ@67f400d6ff6e117252848cc5557dae48fbb1c412f75deef0e3b219cafe2ebc1b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-crul”Œr-glue”Œr-htmltools”Œ
r-jsonlite”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"´êG+hEJzš' hFˆubh)”}”(hŒr-gfonts”h#Œ0.2.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-gfonts-0.2.0-r43hc72bb7e_1.conda”h+Œ 3327b00cdc4d98b6d173555cc43af006”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gfonts-0.2.0-r43hc72bb7e_1.conda”h0Œ@187740be7aa9a08036a44cbc3de7be83f79f8452df194612c13f784972da305e”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crayon”Œr-crul”Œr-glue”Œr-htmltools”Œ
r-jsonlite”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"´ë“•hEJÁz' hFˆubh)”}”(hŒr-ggalluvial”h#Œ0.12.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-ggalluvial-0.12.5-r41hc72bb7e_0.conda”h+Œ b9eeb20fe2099f20318f3674730d321e”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggalluvial-0.12.5-r41hc72bb7e_0.conda”h0Œ@9822d889a6f5ad1f63c125d6dc03f171d0e03e9d4fde8e156a946214a3de3bcb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.0”Œr-ggplot2 >=2.2.0”Œ
r-lazyeval”Œr-rlang”Œr-tidyr >=0.7.0”Œr-tidyselect”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØý~åß;hEJ°3 hFˆubh)”}”(hŒr-ggalluvial”h#Œ0.12.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-ggalluvial-0.12.5-r42hc72bb7e_0.conda”h+Œ 0dda51840bfed8d014fb0672ba0518bc”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggalluvial-0.12.5-r42hc72bb7e_0.conda”h0Œ@4294175d2ce612e1ca3bb84cdbd42fffef5d783be7c52f1cf453b405be2ae5be”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.0”Œr-ggplot2 >=2.2.0”Œ
r-lazyeval”Œr-rlang”Œr-tidyr >=0.7.0”Œr-tidyselect”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØý~ñ‡+hEJ—1 hFˆubh)”}”(hŒr-ggally”h#Œ2.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-ggally-2.1.2-r42hc72bb7e_2.conda”h+Œ b91295e92531a3eb9f6fe8f4afe4b14a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggally-2.1.2-r42hc72bb7e_2.conda”h0Œ@04f5d8f752565d05df8555e4b569faf55d8d452563556d6ec7d0549ebaadfc5b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œ	r-forcats”Œr-ggplot2 >=3.3.0”Œr-gtable >=0.2.0”Œr-lifecycle”Œr-plyr >=1.8.3”Œ
r-progress”Œr-rcolorbrewer”Œr-reshape >=0.8.5”Œr-rlang”Œr-scales >=1.1.0”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"µhPr°hEJ#( hFˆubh)”}”(hŒr-ggally”h#Œ2.1.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-ggally-2.1.2-r43hc72bb7e_2.conda”h+Œ 8ba75b67767396352096dd969c9962ab”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggally-2.1.2-r43hc72bb7e_2.conda”h0Œ@04bb55b33ba066376b4f38bbb7d98cc8d537ac3d6df6040ea36fdf8f9eb92975”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=1.0.0”Œ	r-forcats”Œr-ggplot2 >=3.3.0”Œr-gtable >=0.2.0”Œr-lifecycle”Œr-plyr >=1.8.3”Œ
r-progress”Œr-rcolorbrewer”Œr-reshape >=0.8.5”Œr-rlang”Œr-scales >=1.1.0”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"µe¤¼jhEJa# hFˆubh)”}”(hŒr-gganimate”h#Œ1.0.8”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-gganimate-1.0.8-r41hc72bb7e_2.conda”h+Œ 0777ee8cd864dc25ccb3bb56b71de444”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gganimate-1.0.8-r41hc72bb7e_2.conda”h0Œ@941ae4127d1eb4f760385e0364ae6c4afe4110a5f9edf8f21d52fa721599d808”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œ
r-progress”Œr-rlang”Œr-scales”Œ	r-stringi”Œr-tweenr >=1.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØävôm?}hEJp‡ hFˆubh)”}”(hŒr-gganimate”h#Œ1.0.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-gganimate-1.0.8-r42hc72bb7e_2.conda”h+Œ 68384ae4af7d6617eceeef8b14d3705f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gganimate-1.0.8-r42hc72bb7e_2.conda”h0Œ@293fd6e199bff48928a8bbb52e2c8f3e7d38e211055e0eb391c652099f60da0a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œ
r-progress”Œr-rlang”Œr-scales”Œ	r-stringi”Œr-tweenr >=1.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØäv÷4“hEJt… hFˆubh)”}”(hŒr-ggbeeswarm”h#Œ0.7.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggbeeswarm-0.7.2-r41hc72bb7e_0.conda”h+Œ 96ab77b2568a916803ce7eb096b2d4cf”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggbeeswarm-0.7.2-r41hc72bb7e_0.conda”h0Œ@4a17dbaf9c95f8204b61cbd3503a5589c611e75f7d72af8517552f9ca6db9a36”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-beeswarm”Œr-ggplot2 >=3.3.0”Œr-lifecycle”Œr-vipor”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙncÐ“uhEJî³ hFˆubh)”}”(hŒr-ggbeeswarm”h#Œ0.7.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggbeeswarm-0.7.2-r42hc72bb7e_0.conda”h+Œ 39870ea9ef3a1d905a4585aed7b44bff”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggbeeswarm-0.7.2-r42hc72bb7e_0.conda”h0Œ@c8303a20a00cdbd073f3b296149151f8cdcc9f6eb8ac50e964a984347f7e144a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-beeswarm”Œr-ggplot2 >=3.3.0”Œr-lifecycle”Œr-vipor”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙnWMOßhEJ"· hFˆubh)”}”(hŒr-ggbeeswarm”h#Œ0.7.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-ggbeeswarm-0.7.2-r42hc72bb7e_1.conda”h+Œ 769c1f74cc822f8f5fa40caa0612b8ac”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggbeeswarm-0.7.2-r42hc72bb7e_1.conda”h0Œ@d32f9ad08faaaef1f8f098515b9aaaba9ce75348c7f42ae56f23c02630a8477d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-beeswarm”Œr-ggplot2 >=3.3.0”Œr-lifecycle”Œr-vipor”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"÷$PbhEJxº hFˆubh)”}”(hŒr-ggbeeswarm”h#Œ0.7.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-ggbeeswarm-0.7.2-r43hc72bb7e_1.conda”h+Œ 1dd6e5ea594374f35e70cab8ca044609”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggbeeswarm-0.7.2-r43hc72bb7e_1.conda”h0Œ@9b109d17d52d49b13b34eb4a67248cd6796f10bad5b435d1b5dfbe77570c40b1”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ
r-beeswarm”Œr-ggplot2 >=3.3.0”Œr-lifecycle”Œr-vipor”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"÷,K"ÑhEJ®¸ hFˆubh)”}”(hŒr-ggblanket”h#Œ2.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-ggblanket-2.0.0-r41hc72bb7e_0.conda”h+Œ 4ab53e1bd08aa2d871fd129d07d63b44”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggblanket-2.0.0-r41hc72bb7e_0.conda”h0Œ@baed7c157fc1e0031a436c9a02815b33232036b49b62ae48a623cb768124065e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-hms”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-scales”Œr-snakecase”Œr-tidyr”Œr-tidyselect”Œ	r-viridis”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ¦•¸hEJ£i( hFˆubh)”}”(hŒr-ggblanket”h#Œ2.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-ggblanket-2.0.0-r42hc72bb7e_0.conda”h+Œ cbe3dcde7193ad9efc3a867b2ebcf8ca”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggblanket-2.0.0-r42hc72bb7e_0.conda”h0Œ@2fefb29762b2d5dcac5b0c89e8031704d0882618e239e3f9370e63fae4f75d62”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-hms”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-scales”Œr-snakecase”Œr-tidyr”Œr-tidyselect”Œ	r-viridis”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ´²°!hEJ§’( hFˆubh)”}”(hŒ	r-ggblend”h#Œ0.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ggblend-0.1.0-r42hc72bb7e_0.conda”h+Œ 3774f6c8aaf68215264818cc9d9dddc9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggblend-0.1.0-r42hc72bb7e_0.conda”h0Œ@3280ab9bf6a7715cde8f7aebefb57918af4fb344b0072e5371bedbe458a41f3e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.4.0”Œr-rlang”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ #çmhEJ9¯; hFˆubh)”}”(hŒ	r-ggbreak”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ggbreak-0.1.1-r41hc72bb7e_0.conda”h+Œ 643ec3375318c7cdbaeffbe1ff377c7c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggbreak-0.1.1-r41hc72bb7e_0.conda”h0Œ@7be6dc7a6e5e02fd78f278191208a9ed2876b27e3c775158b348d90d78d466cf”h2NhNh3(Œr-aplot >=0.1.5”Œr-base >=4.1,<4.2.0a0”Œr-ggfun >=0.0.4”Œ	r-ggplot2”Œr-ggplotify >=0.0.7”Œr-rlang”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØçq‡&{hEJyV hFˆubh)”}”(hŒ	r-ggbreak”h#Œ0.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ggbreak-0.1.1-r42hc72bb7e_0.conda”h+Œ 8acf59c1fc74bc20bab8c896c0c9afeb”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggbreak-0.1.1-r42hc72bb7e_0.conda”h0Œ@d7e0fcb6faffa1513a4ed3f29581bdf2caf47ee4072733e88fab4a84b417a217”h2NhNh3(Œr-aplot >=0.1.5”Œr-base >=4.2,<4.3.0a0”Œr-ggfun >=0.0.4”Œ	r-ggplot2”Œr-ggplotify >=0.0.7”Œr-rlang”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØçq”Ú=qhEJÈ\ hFˆubh)”}”(hŒ
r-ggcorset”h#Œ0.4.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ggcorset-0.4.5-r41hc72bb7e_0.conda”h+Œ 6cde5d88c0b057d4a10bc419916b1e02”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggcorset-0.4.5-r41hc72bb7e_0.conda”h0Œ@d94db9790080ce48266d9dceead49062b807211ac7840432268d9ff46d13a4ef”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-gghalves”Œ	r-ggplot2”Œ
r-ggstance”t”h9hºh@ŒMIT”hBŒMIT”hDGAØå¤V‡+hEJáM* hFˆubh)”}”(hŒ
r-ggcorset”h#Œ0.4.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-ggcorset-0.4.5-r42hc72bb7e_0.conda”h+Œ d3e9be4ed22b66de6ef1e1c5b1915eb1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggcorset-0.4.5-r42hc72bb7e_0.conda”h0Œ@e8b880dfc620706b90c5ce252bd9d61cb16bb96d2e5da3631eda3fb0209c748a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-gghalves”Œ	r-ggplot2”Œ
r-ggstance”t”h9hºh@ŒMIT”hBŒMIT”hDGAØå¤ŒjhEJwH* hFˆubh)”}”(hŒr-ggdag”h#Œ0.2.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ggdag-0.2.10-r41hc72bb7e_0.conda”h+Œ b126edb8447452539736bb8754f4be04”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggdag-0.2.10-r41hc72bb7e_0.conda”h0Œ@177778ac3bad04384b98d78bbb578838b0b13c1be3d4648e22461b28830edfdf”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-dagitty”Œr-dplyr”Œ	r-forcats”Œr-ggplot2 >=3.0.0”Œr-ggraph >=2.0.0”Œ	r-ggrepel”Œr-igraph”Œ
r-magrittr”Œr-pillar”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidygraph”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙkÐ¢n˜hEJº÷ hFˆubh)”}”(hŒr-ggdag”h#Œ0.2.10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ggdag-0.2.10-r42hc72bb7e_0.conda”h+Œ cf2a57e6cb034714e782396ce3cc5cdc”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggdag-0.2.10-r42hc72bb7e_0.conda”h0Œ@13a5037cf17b35a123425cea38a6215088d6409d9299a0d778da5f9be8687a53”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-dagitty”Œr-dplyr”Œ	r-forcats”Œr-ggplot2 >=3.0.0”Œr-ggraph >=2.0.0”Œ	r-ggrepel”Œr-igraph”Œ
r-magrittr”Œr-pillar”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidygraph”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙkÕ¡™šhEJéá hFˆubh)”}”(hŒ
r-ggdendro”h#Œ0.1.23”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-ggdendro-0.1.23-r42hc72bb7e_2.conda”h+Œ c73a89a7c88ec397926b6912be00ace6”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggdendro-0.1.23-r42hc72bb7e_2.conda”h0Œ@ee375b715b5d1c10f21cc4629de0222b275757cdd0bb10fa15b2fa3684e8ec87”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=0.9.2”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÙùQhshEJ‰ä hFˆubh)”}”(hŒ
r-ggdendro”h#Œ0.1.23”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-ggdendro-0.1.23-r43hc72bb7e_2.conda”h+Œ 00c62b912022140eb583dd682c61077a”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggdendro-0.1.23-r43hc72bb7e_2.conda”h0Œ@10da2d7c21a8fd0bf55d9874d4342e6ecf9dd6cd0699a31568551dde4fcbd558”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=0.9.2”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÙúPhEJ¹Þ hFˆubh)”}”(hŒr-ggdensity”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-ggdensity-1.0.0-r41hc72bb7e_0.conda”h+Œ bf2e32f60be723b5210eb57c2fd3f440”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggdensity-1.0.0-r41hc72bb7e_0.conda”h0Œ@54db1784519a8402835ed6de068020c7d948452558a6840a2524da9056a5f6a9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ	r-isoband”Œr-mass”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØùoÓÂÐåhEJ® hFˆubh)”}”(hŒr-ggdensity”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-ggdensity-1.0.0-r42hc72bb7e_0.conda”h+Œ 0b4c4f06126c59bac2175d9e2b3b009d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggdensity-1.0.0-r42hc72bb7e_0.conda”h0Œ@4ee006f7ba7730716c78ac3fb6426d55182770c24ef554c650bcb7b4a06b8fd6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ	r-isoband”Œr-mass”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØùoÏpbhEJÚ³ hFˆubh)”}”(hŒr-ggdist”h#Œ3.3.0”h%Œr41hc72bb7e_0”h'K hhh(•      h)hŒ"r-ggdist-3.3.0-r41hc72bb7e_0.conda”h+Œ f89abd9d8e3acb351c556ec11ac7c800”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggdist-3.3.0-r41hc72bb7e_0.conda”h0Œ@89cf246694b890b75bcf9675703946b7b65926cdb410a538058316db52d6a5f6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-distributional >=0.3.0”Œr-dplyr >=1.0.0”Œr-ggplot2 >=3.4.0”Œr-glue”Œr-hdinterval”Œ
r-numderiv”Œ
r-quadprog”Œr-rlang >=0.3.0”Œr-scales”Œr-tibble”Œr-tidyselect”Œr-vctrs”Œr-withr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ£àå`hEJÖ)6 hFˆubh)”}”(hŒr-ggdist”h#Œ3.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ggdist-3.3.0-r42hc72bb7e_0.conda”h+Œ ba0a83cd2f6f425fdbd9b4b3ecf90c36”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggdist-3.3.0-r42hc72bb7e_0.conda”h0Œ@4a901694c038480de9e093b48335b8e3bdd8c8ce6e9076809ee583704899a4f4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-distributional >=0.3.0”Œr-dplyr >=1.0.0”Œr-ggplot2 >=3.4.0”Œr-glue”Œr-hdinterval”Œ
r-numderiv”Œ
r-quadprog”Œr-rlang >=0.3.0”Œr-scales”Œr-tibble”Œr-tidyselect”Œr-vctrs”Œr-withr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ¢'®hEJ€)6 hFˆubh)”}”(hŒr-ggdist”h#Œ3.3.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-ggdist-3.3.0-r42hc72bb7e_1.conda”h+Œ 7b4166dde52f8a061fd3c7695c4003f5”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggdist-3.3.0-r42hc72bb7e_1.conda”h0Œ@ac24542174b9d2b79301f3cda16a9094cc8ccfa250f51c8b4f217c37f090616d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-distributional >=0.3.0”Œr-dplyr >=1.0.0”Œr-ggplot2 >=3.4.0”Œr-glue”Œr-hdinterval”Œ
r-numderiv”Œ
r-quadprog”Œr-rlang >=0.3.0”Œr-scales”Œr-tibble”Œr-tidyselect”Œr-vctrs”Œr-withr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#	þÊáHhEJm6 hFˆubh)”}”(hŒr-ggdist”h#Œ3.3.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-ggdist-3.3.0-r43hc72bb7e_1.conda”h+Œ 9c967a76a4eaac525bade7f34f9a08ab”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggdist-3.3.0-r43hc72bb7e_1.conda”h0Œ@be10fb663a06f81991c517554165ebd96e1770e8d91b64e2f48a7a68cb6cabc8”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-distributional >=0.3.0”Œr-dplyr >=1.0.0”Œr-ggplot2 >=3.4.0”Œr-glue”Œr-hdinterval”Œ
r-numderiv”Œ
r-quadprog”Œr-rlang >=0.3.0”Œr-scales”Œr-tibble”Œr-tidyselect”Œr-vctrs”Œr-withr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#	ò™XhEJ°6 hFˆubh)”}”(hŒr-ggeasy”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ggeasy-0.1.4-r41hc72bb7e_0.conda”h+Œ 61d17db03fa88dedbbfcba0bee4cbcc4”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggeasy-0.1.4-r41hc72bb7e_0.conda”h0Œ@730e092e8d41d722fb1525445abf6c99901ffbbfe03b65ec5067d96c0aa0291b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-rlang”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙwQ&éhEJo”6 hFˆubh)”}”(hŒr-ggeasy”h#Œ0.1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ggeasy-0.1.4-r42hc72bb7e_0.conda”h+Œ 87795b370c9ea0ab628fd91e48d273db”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggeasy-0.1.4-r42hc72bb7e_0.conda”h0Œ@649022c0b8c8514b0af98a57eab309a8464aff9c7cf40c0e9cbf5ef203fba57f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-rlang”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙwP¾whEJD‘6 hFˆubh)”}”(hŒr-ggeffects”h#Œ1.2.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-ggeffects-1.2.3-r42hc72bb7e_0.conda”h+Œ feaedf8e9e2267d71d18f7569715d9f7”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggeffects-1.2.3-r42hc72bb7e_0.conda”h0Œ@fdc8a9847b6dbfb30eb3fe2d413b48db814b981a51ffa12e1150982baaf4ecf8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-insight >=0.8.1”Œr-mass”Œr-sjlabelled >=1.1.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ!xq‡hEJÏÏ	 hFˆubh)”}”(hŒr-ggfittext”h#Œ0.10.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggfittext-0.10.0-r41hc72bb7e_0.conda”h+Œ 7f5cd80126df93bc3d8df913c102aae3”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggfittext-0.10.0-r41hc72bb7e_0.conda”h0Œ@00e69496af84b6b4700bdd22471ab668917fc673d8d5d961f96ea83b4497a506”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.2.1”Œr-gridtext >=0.1.4”Œr-shades >=1.3.1”Œr-stringi >=1.1.2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ±h0“uhEJ”ß hFˆubh)”}”(hŒr-ggfittext”h#Œ0.10.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggfittext-0.10.0-r42hc72bb7e_0.conda”h+Œ bf579ae095bca7f7d0c4ab3dab088e74”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggfittext-0.10.0-r42hc72bb7e_0.conda”h0Œ@35fbee774f4e004e5a5a5ee5e77992c91b04f7ebdbf8a0129883f12e10305d6b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.2.1”Œr-gridtext >=0.1.4”Œr-shades >=1.3.1”Œr-stringi >=1.1.2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ±g
ñªhEJá hFˆubh)”}”(hŒr-ggfittext”h#Œ0.10.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-ggfittext-0.10.0-r42hc72bb7e_1.conda”h+Œ 1cabf518191ef82aeeec678acbae7109”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggfittext-0.10.0-r42hc72bb7e_1.conda”h0Œ@5423b9755d5a7703b5d9da7278679213808f78304b9b3e284fa25eacc9d4c1f2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.2.1”Œr-gridtext >=0.1.4”Œr-shades >=1.3.1”Œr-stringi >=1.1.2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#	Òc¶FhEJÊà hFˆubh)”}”(hŒr-ggfittext”h#Œ0.10.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-ggfittext-0.10.0-r43hc72bb7e_1.conda”h+Œ 4c70d09f44f4668cbbce7fe12db70726”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggfittext-0.10.0-r43hc72bb7e_1.conda”h0Œ@cc1789abd42ed16b8b88957592861f063165d749ace1b392f4f2fb7acf7eab6f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=2.2.1”Œr-gridtext >=0.1.4”Œr-shades >=1.3.1”Œr-stringi >=1.1.2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#	ÐÏl‹hEJæ hFˆubh)”}”(hŒr-ggflowchart”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-ggflowchart-1.0.0-r41hc72bb7e_0.conda”h+Œ 8b8c3025796a0528167eba595e441e73”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggflowchart-1.0.0-r41hc72bb7e_0.conda”h0Œ@f92ea02f9f085ad17dcd927ab7aa2fc25f2ea32ce1bcc293e9ef348bc07aec78”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-igraph”Œr-rlang”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙáÈB=qhEJa½ hFˆubh)”}”(hŒr-ggflowchart”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-ggflowchart-1.0.0-r42hc72bb7e_0.conda”h+Œ 05f72f600fc68d1e86d96341bf2ea452”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggflowchart-1.0.0-r42hc72bb7e_0.conda”h0Œ@3c781ca6ece8a0cc82ce77ee9ba8a93bbb2fd16f76f6589f532b6d09acdd416c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-igraph”Œr-rlang”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙáºƒ¶FhEJ$Ë hFˆubh)”}”(hŒr-ggformula”h#Œ0.10.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggformula-0.10.4-r41hc72bb7e_0.conda”h+Œ 35068ec2493f1091945fcbef6ddfdbde”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggformula-0.10.4-r41hc72bb7e_0.conda”h0Œ@03f537b8a612a66c27bbd790e26bf524e0aebd134deeaac22ffb0d5641e74e42”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggforce”Œr-ggplot2 >=3.3”Œ
r-ggridges”Œr-ggstance >=0.3.4”Œ
r-labelled”Œ
r-magrittr”Œr-mosaiccore >=0.7.0”Œr-rlang”Œr-scales”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙcwãohEJÓ$ hFˆubh)”}”(hŒr-ggformula”h#Œ0.10.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggformula-0.10.4-r42hc72bb7e_0.conda”h+Œ a8044ff7c857b23f15864c36b705e8b7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggformula-0.10.4-r42hc72bb7e_0.conda”h0Œ@c4f277bb109b2b90f8ba2650e06dacd0a7b65525860b5e48bcbb023d5af6d540”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggforce”Œr-ggplot2 >=3.3”Œ
r-ggridges”Œr-ggstance >=0.3.4”Œ
r-labelled”Œ
r-magrittr”Œr-mosaiccore >=0.7.0”Œr-rlang”Œr-scales”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙcE¢hEJš" hFˆubh)”}”(hŒr-ggfortify”h#Œ0.4.16”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggfortify-0.4.16-r41hc72bb7e_0.conda”h+Œ 710ffcda4548d1b1c4d7e2008bda1846”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggfortify-0.4.16-r41hc72bb7e_0.conda”h0Œ@648172fd50edb2b431f2c44104b1a796bdaa8bdba1d73556ae62d14af15818ac”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.3”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙñÎhEJ‹þ hFˆubh)”}”(hŒr-ggfortify”h#Œ0.4.16”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggfortify-0.4.16-r42hc72bb7e_0.conda”h+Œ 173e09a2fdbaded5c222eb9e311b7957”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggfortify-0.4.16-r42hc72bb7e_0.conda”h0Œ@571b90eacc9a5b772a12a62c8bdfa635124769942e7b5278667c87511453a677”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.3”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙñ«^5hEJÒÿ hFˆubh)”}”(hŒr-ggfortify”h#Œ0.4.16”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-ggfortify-0.4.16-r42hc72bb7e_1.conda”h+Œ e1b963c9ce1484b34776636310cf192e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggfortify-0.4.16-r42hc72bb7e_1.conda”h0Œ@aa500b9b5ba984237edd17b517f65bcb75fe9efa448ba75ee8d570df513d2dea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.3”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ë¨&ÙhEJõý hFˆubh)”}”(hŒr-ggfortify”h#Œ0.4.16”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-ggfortify-0.4.16-r43hc72bb7e_1.conda”h+Œ f4beb35351a056afc6794308cc6cb709”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggfortify-0.4.16-r43hc72bb7e_1.conda”h0Œ@31c76b95be21937675c4f523b90350621d9aa2d04a64bd9606e7b282d71195b6”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=0.3”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ë›-hEJ; hFˆubh)”}”(hŒr-ggfun”h#Œ0.0.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ggfun-0.0.9-r41hc72bb7e_0.conda”h+Œ 83c13e142eac22606573cd49754f305b”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggfun-0.0.9-r41hc72bb7e_0.conda”h0Œ@185b11f581800a520bf256226d64ec316927be91a2ab142047dba4962384a4d8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-rlang”‡”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÞØ[¢-hEJM hFˆubh)”}”(hŒr-ggfun”h#Œ0.0.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-ggfun-0.0.9-r42hc72bb7e_0.conda”h+Œ eaf3df793d7fe4279548c0be1c8bef1c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggfun-0.0.9-r42hc72bb7e_0.conda”h0Œ@a54c8db8216a361aa927b3ad01c584a11a6a6e5aa505ef9713e5b39e47b89d97”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-rlang”‡”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÞØb®ffhEJÌ hFˆubh)”}”(hŒr-ggfun”h#Œ0.0.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-ggfun-0.0.9-r42hc72bb7e_1.conda”h+Œ f7720728ce3429f0b09e1cda9a96f3cd”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggfun-0.0.9-r42hc72bb7e_1.conda”h0Œ@95764be2530488bebc7a55342bb0b644e6d3094fdb8110490f55911a492f74fd”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-rlang”‡”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"ëÃ¶FhEJ“ hFˆubh)”}”(hŒr-ggfun”h#Œ0.0.9”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-ggfun-0.0.9-r43hc72bb7e_1.conda”h+Œ 32076b2f73327742d11e316e9a8c1fd4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggfun-0.0.9-r43hc72bb7e_1.conda”h0Œ@15fd503564fa657eac1541f17ce027bae6be7a77e710f065844771aa0d9d00ff”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-ggplot2”Œr-rlang”‡”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"ë–è´9hEJX hFˆubh)”}”(hŒ	r-gggenes”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-gggenes-0.5.0-r41hc72bb7e_0.conda”h+Œ af0f2be4a4b1335f7792a45b19624222”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gggenes-0.5.0-r41hc72bb7e_0.conda”h0Œ@f29e129668c469877a41539ba6a4586064722519e2c58171c0e3a5422cc19b45”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggfittext >=0.8.0”Œr-ggplot2 >=2.2.1”Œr-rlang >=0.2.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ£9>{hEJòU hFˆubh)”}”(hŒ	r-gggenes”h#Œ0.5.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-gggenes-0.5.0-r42hc72bb7e_0.conda”h+Œ 7307f894bc6dafc0c911afa321df38a7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gggenes-0.5.0-r42hc72bb7e_0.conda”h0Œ@a0d1f85da04bcccf9353891c19d0d15b384598b574892e00073fbb1225d42841”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggfittext >=0.8.0”Œr-ggplot2 >=2.2.1”Œr-rlang >=0.2.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ£:s¥ãhEJ~Y hFˆubh)”}”(hŒr-gggibbous”h#Œ0.1.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ%r-gggibbous-0.1.1-r41h785f33e_0.conda”h+Œ 2c48926f8bc3a83e2663ce2dfd4f8469”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gggibbous-0.1.1-r41h785f33e_0.conda”h0Œ@e5b32ae88a17d8c325cfbdaf7fcdec08785944361c9565ccf057d516c2df6ce6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.2.1”Œr-scales >=1.0.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØàé›lýôhEJ”¾ hFˆubh)”}”(hŒr-gggibbous”h#Œ0.1.1”h%Œr42h785f33e_0”h'K hhh(h)hŒ%r-gggibbous-0.1.1-r42h785f33e_0.conda”h+Œ 2c7ef85ee96769a75132526f7aee436f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gggibbous-0.1.1-r42h785f33e_0.conda”h0Œ@a7eb4bd34c6c75071213ebd603e6805d614b5f1acf9205a774f59593d94c5b69”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.2.1”Œr-scales >=1.0.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØàé˜‰%hEJz¶ hFˆubh)”}”(hŒr-ggh4x”h#Œ0.2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ggh4x-0.2.4-r41hc72bb7e_0.conda”h+Œ d6db5e756dffb5587823b24d08d9c12e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggh4x-0.2.4-r41hc72bb7e_0.conda”h0Œ@d2e740950433dc5bb1865cc32ac1fb6c9b2cd02ff765e844a4df8b7d7f191fa6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-ggplot2 >=3.4.2”Œr-gtable”Œr-lifecycle”Œr-rlang >=1.1.0”Œr-scales”Œr-vctrs >=0.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ±ÑR~úhEJ@; hFˆubh)”}”(hŒr-ggh4x”h#Œ0.2.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-ggh4x-0.2.4-r42hc72bb7e_0.conda”h+Œ 087b497d530478c1345a2d2724548566”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggh4x-0.2.4-r42hc72bb7e_0.conda”h0Œ@1d44a19a4859953227cb30fa8e7245f9032e02eb216ff0bb5049bed62f3458a6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-ggplot2 >=3.4.2”Œr-gtable”Œr-lifecycle”Œr-rlang >=1.1.0”Œr-scales”Œr-vctrs >=0.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ±Ìy©ühEJ}5 hFˆubh)”}”(hŒ
r-gghalves”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-gghalves-0.1.4-r41hc72bb7e_0.conda”h+Œ bfab4f0387cb9ab09f0d4948572df364”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gghalves-0.1.4-r41hc72bb7e_0.conda”h0Œ@b31989047c092359fba9ff7508fb9b124119147e26d4886e7d136f0185f266bc”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-gtable”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÞ’é«çmhEJû— hFˆubh)”}”(hŒ
r-gghalves”h#Œ0.1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-gghalves-0.1.4-r42hc72bb7e_0.conda”h+Œ 598b6f1585a74244b2ced17a19b93905”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gghalves-0.1.4-r42hc72bb7e_0.conda”h0Œ@71b8024e393691ddb9121ef6a7f30bff512c73b657a974da37e8480a03dca929”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-gtable”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÞ’éê¬hEJSš hFˆubh)”}”(hŒ	r-ggimage”h#Œ0.3.2”h%Œr41h785f33e_0”h'K hhh(h)hŒ#r-ggimage-0.3.2-r41h785f33e_0.conda”h+Œ 183c391d5819579202d96aa97c0ff8b9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggimage-0.3.2-r41h785f33e_0.conda”h0Œ@fe30891de291e47f4cea7f0fc1a61122924bb87254e1c45cd84f1ccdee931ad2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggfun”Œ	r-ggplot2”Œr-ggplotify”Œ
r-jsonlite”Œr-magick”Œr-scales”Œr-tibble”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ€Ã  hEJ€‚ hFˆubh)”}”(hŒ	r-ggimage”h#Œ0.3.2”h%Œr42h785f33e_0”h'K hhh(h)hŒ#r-ggimage-0.3.2-r42h785f33e_0.conda”h+Œ 1e59ac7a2267e4ed3ec5b220f5300277”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggimage-0.3.2-r42h785f33e_0.conda”h0Œ@a243aced0d34ce0d3925338186426304c195a94690cada7fec560263da292fc2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggfun”Œ	r-ggplot2”Œr-ggplotify”Œ
r-jsonlite”Œr-magick”Œr-scales”Œr-tibble”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ€ÅµÂhEJ‘‚ hFˆubh)”}”(hŒr-ggmap”h#Œ3.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ggmap-3.0.2-r41hc72bb7e_0.conda”h+Œ eecf44d8d7fdb87f3177a7a5e1c4b491”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggmap-3.0.2-r41hc72bb7e_0.conda”h0Œ@014f5133b2af2da1012c9be6dce3580b555b99f8acfa1833c0206bb9d5b8e22e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bitops”Œr-digest”Œr-dplyr”Œr-ggplot2 >=2.2.0”Œr-glue”Œr-httr”Œr-jpeg”Œ
r-magrittr”Œr-plyr”Œr-png”Œr-purrr”Œr-rgooglemaps”Œr-rjson”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ7!P´9hEJWH hFˆubh)”}”(hŒr-ggmap”h#Œ3.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-ggmap-3.0.2-r42hc72bb7e_0.conda”h+Œ 90754cf3d29da801a55184f4a42ae513”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggmap-3.0.2-r42hc72bb7e_0.conda”h0Œ@1d70895d3917190c1a1eabfbe7d6b0c7bdfe1cfb4bff5cb10874941e455b02c5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bitops”Œr-digest”Œr-dplyr”Œr-ggplot2 >=2.2.0”Œr-glue”Œr-httr”Œr-jpeg”Œ
r-magrittr”Œr-plyr”Œr-png”Œr-purrr”Œr-rgooglemaps”Œr-rjson”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ70Ep¤hEJÉH hFˆubh)”}”(hŒ
r-ggmuller”h#Œ0.5.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ggmuller-0.5.6-r41hc72bb7e_0.conda”h+Œ 486acb03f2c2add5b6f85e1a91b061c5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggmuller-0.5.6-r41hc72bb7e_0.conda”h0Œ@3c5bb7f823ed180a9eba54f1f8732c2b1124a959022bd91fec07879d870818e8”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.0”Œ	r-ggplot2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØúG
º^hEJ«› hFˆubh)”}”(hŒ
r-ggmuller”h#Œ0.5.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-ggmuller-0.5.6-r42hc72bb7e_0.conda”h+Œ 67f2a0272d234402a073d0e26cdaed09”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggmuller-0.5.6-r42hc72bb7e_0.conda”h0Œ@43bdb2487cd1efe2d2b92bc4314ca6a12a953cea1a04850c8fc7891893f95738”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.0”Œ	r-ggplot2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØúGÈA‰hEJ~› hFˆubh)”}”(hŒr-ggnetwork”h#Œ0.5.12”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggnetwork-0.5.12-r41hc72bb7e_0.conda”h+Œ 0b6628e1bfe2138a4ab0c721124bafde”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggnetwork-0.5.12-r41hc72bb7e_0.conda”h0Œ@0e4718ee022771f5c8148f10786c60e94195facb839ce137524f3d3330e7aaaf”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.0.0”Œr-ggrepel >=0.5”Œr-igraph”Œ	r-network”Œr-sna”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ§T¼jhEJ@ hFˆubh)”}”(hŒr-ggnetwork”h#Œ0.5.12”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggnetwork-0.5.12-r42hc72bb7e_0.conda”h+Œ 827313a4d989fc6fea19156e91184d1f”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggnetwork-0.5.12-r42hc72bb7e_0.conda”h0Œ@ebd2b3b118d9328a46f5ee39f75adc0cb7181bac72b1ec1eb75c1d63d4c6528e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.0.0”Œr-ggrepel >=0.5”Œr-igraph”Œ	r-network”Œr-sna”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¦ý;…hEJi8 hFˆubh)”}”(hŒr-ggnewscale”h#Œ0.4.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggnewscale-0.4.9-r41hc72bb7e_0.conda”h+Œ df0769452e2be324eb01b0dc4caaaa1e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggnewscale-0.4.9-r41hc72bb7e_0.conda”h0Œ@2ff4410515778eb4d7ce9affb552b8a172288847985ee98f849edcc3b92ea64e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÍH©Û#hEJ+_ hFˆubh)”}”(hŒr-ggnewscale”h#Œ0.4.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggnewscale-0.4.9-r42hc72bb7e_0.conda”h+Œ 46486ae47299adddfafee1487807e8a0”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggnewscale-0.4.9-r42hc72bb7e_0.conda”h0Œ@28c67453aa08d7445c2db939361b56e075657f6d8a24d304b92d8f7360d9c584”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÍ>àbhEJ` hFˆubh)”}”(hŒ	r-ggplot2”h#Œ3.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ggplot2-3.4.2-r41hc72bb7e_0.conda”h+Œ c2b04f4ff351d84bf51fd5a77b5c9b6c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.4.2-r41hc72bb7e_0.conda”h0Œ@d30ebde655dd25290f13d17074bbb792c01b1fbdb1989843afd7c275bd4bd0c2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-glue”Œr-gtable >=0.1.1”Œ	r-isoband”Œr-lifecycle >=1.0.1”Œr-mass”Œr-mgcv”Œr-rlang >=1.0.0”Œr-scales >=1.2.0”Œr-tibble”Œr-vctrs >=0.5.0”Œr-withr >=2.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙœð¶ÙhEJ? hFˆubh)”}”(hŒ	r-ggplot2”h#Œ3.4.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ggplot2-3.4.2-r42hc72bb7e_0.conda”h+Œ a48ecf50d630e0a9f530f875cee4bc5e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.4.2-r42hc72bb7e_0.conda”h0Œ@5540b63f5764733c6f5ffbd42c65a296df58523951fbc251d7f91318c244d224”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-glue”Œr-gtable >=0.1.1”Œ	r-isoband”Œr-lifecycle >=1.0.1”Œr-mass”Œr-mgcv”Œr-rlang >=1.0.0”Œr-scales >=1.2.0”Œr-tibble”Œr-vctrs >=0.5.0”Œr-withr >=2.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙœÞ#…hEJ."? hFˆubh)”}”(hŒ	r-ggplot2”h#Œ3.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-ggplot2-3.4.2-r42hc72bb7e_1.conda”h+Œ e40f0f59e15c5e65ffc46d385778fc51”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.4.2-r42hc72bb7e_1.conda”h0Œ@9e150cae7c4c49966c6d6eed3f865629ab5ad801410c087abbec2df62b0532a9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-glue”Œr-gtable >=0.1.1”Œ	r-isoband”Œr-lifecycle >=1.0.1”Œr-mass”Œr-mgcv”Œr-rlang >=1.0.0”Œr-scales >=1.2.0”Œr-tibble”Œr-vctrs >=0.5.0”Œr-withr >=2.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"–ýl¬hEJ?%? hFˆubh)”}”(hŒ	r-ggplot2”h#Œ3.4.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-ggplot2-3.4.2-r43hc72bb7e_1.conda”h+Œ 1597721a9bd3703641d4435a0d54b15c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.4.2-r43hc72bb7e_1.conda”h0Œ@9d5a3d8ac3f660988a04fe7688ede08a0dc81232e1371fec28ee0423062a8e61”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-glue”Œr-gtable >=0.1.1”Œ	r-isoband”Œr-lifecycle >=1.0.1”Œr-mass”Œr-mgcv”Œr-rlang >=1.0.0”Œr-scales >=1.2.0”Œr-tibble”Œr-vctrs >=0.5.0”Œr-withr >=2.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"—	O+hEJŒ? hFˆubh)”}”(hŒr-ggplotify”h#Œ0.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-ggplotify-0.1.0-r42hc72bb7e_2.conda”h+Œ 2f12ea8750757a57063f92380791d13d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggplotify-0.1.0-r42hc72bb7e_2.conda”h0Œ@4b0ff4a020481800d62b8ce5a182bfe17613dd3593f8f8349841e1fb510ec950”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-gridgraphics”Œr-yulab.utils”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"÷IXhEJ= hFˆubh)”}”(hŒr-ggplotify”h#Œ0.1.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-ggplotify-0.1.0-r43hc72bb7e_2.conda”h+Œ 400ef4dfc6f81dd5c71769facdee8014”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggplotify-0.1.0-r43hc72bb7e_2.conda”h0Œ@f8565015c5e3795fa2659f40c70ef6a29f62340ed832d08ec32f903f68492fb4”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-ggplot2”Œr-gridgraphics”Œr-yulab.utils”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"÷4‹DhEJ‘= hFˆubh)”}”(hŒ	r-ggpmisc”h#Œ0.5.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ggpmisc-0.5.2-r41hc72bb7e_0.conda”h+Œ 1ac20d660ad642b51a9c5127f8c15c56”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggpmisc-0.5.2-r41hc72bb7e_0.conda”h0Œ@83ac7d22afd9edd4f7b5a292aadebdd9850cff688a4d9ccb9e6723eabaa2d20e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-confintr >=0.1.2”Œr-dplyr >=1.0.6”Œr-generics >=0.1.2”Œr-ggplot2 >=3.3.5”Œr-ggpp >=0.4.4”Œr-lmodel2 >=1.7_3”Œr-lubridate >=1.7.10”Œr-mass >=7.3_51.6”Œr-plyr >=1.8.6”Œr-polynom >=1.4_0”Œr-quantreg >=5.93”Œr-rlang >=1.0.0”Œr-scales >=1.2.0”Œr-splus2r >=1.3_3”Œr-tibble >=3.1.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØç§œ›…hEJÒÙ hFˆubh)”}”(hŒ	r-ggpmisc”h#Œ0.5.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ggpmisc-0.5.2-r42hc72bb7e_0.conda”h+Œ ffff137f7db97e60fde9f0637dba7ce2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggpmisc-0.5.2-r42hc72bb7e_0.conda”h0Œ@6d0247a17121e3a5ae38a29de8a18b9215914e955a414a7eb80eb9e19d83bc88”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-confintr >=0.1.2”Œr-dplyr >=1.0.6”Œr-generics >=0.1.2”Œr-ggplot2 >=3.3.5”Œr-ggpp >=0.4.4”Œr-lmodel2 >=1.7_3”Œr-lubridate >=1.7.10”Œr-mass >=7.3_51.6”Œr-plyr >=1.8.6”Œr-polynom >=1.4_0”Œr-quantreg >=5.93”Œr-rlang >=1.0.0”Œr-scales >=1.2.0”Œr-splus2r >=1.3_3”Œr-tibble >=3.1.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØç§ŒÄ¬hEJ\Ð hFˆubh)”}”(hŒr-ggpp”h#Œ0.5.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-ggpp-0.5.2-r41hc72bb7e_0.conda”h+Œ 3d8243e27efdfbb3baf8b61d25d5c9c1”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ggpp-0.5.2-r41hc72bb7e_0.conda”h0Œ@260055ee84cd7cc189440d8905f8990413094643553c31e828d8daec03a69a24”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.2”Œr-generics >=0.1.0”Œr-ggplot2 >=3.3.2”Œr-glue >=1.4.2”Œr-gridextra >=2.3”Œr-lubridate >=1.7.9”Œr-magrittr >=1.5”Œr-mass >=7.3_51.6”Œr-plyr >=1.8.6”Œr-polynom >=1.4_0”Œr-rlang >=0.4.7”Œr-scales >=1.1.1”Œr-stringr >=1.4.0”Œr-tibble >=3.0.3”Œr-xts >=0.12_0”Œr-zoo >=1.8_8”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙvèPhEJNu hFˆubh)”}”(hŒr-ggpp”h#Œ0.5.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-ggpp-0.5.2-r42hc72bb7e_0.conda”h+Œ 9b1da177eaa89d8bfff1072eaeeb8592”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ggpp-0.5.2-r42hc72bb7e_0.conda”h0Œ@c6cbfd4325f017c5ec9034d28d4055e8982c679a17f63152231febae56d4d700”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.2”Œr-generics >=0.1.0”Œr-ggplot2 >=3.3.2”Œr-glue >=1.4.2”Œr-gridextra >=2.3”Œr-lubridate >=1.7.9”Œr-magrittr >=1.5”Œr-mass >=7.3_51.6”Œr-plyr >=1.8.6”Œr-polynom >=1.4_0”Œr-rlang >=0.4.7”Œr-scales >=1.1.1”Œr-stringr >=1.4.0”Œr-tibble >=3.0.3”Œr-xts >=0.12_0”Œr-zoo >=1.8_8”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙvÚ¬í‘hEJªp hFˆubh)”}”(hŒr-ggpp”h#Œ0.5.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-ggpp-0.5.2-r42hc72bb7e_1.conda”h+Œ 0235858c3d191c5fa4ba5a790394e568”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ggpp-0.5.2-r42hc72bb7e_1.conda”h0Œ@47339c89fa31b5c341397ba3b4d8178fb087a02239070a9a57d3747741559441”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.2”Œr-generics >=0.1.0”Œr-ggplot2 >=3.3.2”Œr-glue >=1.4.2”Œr-gridextra >=2.3”Œr-lubridate >=1.7.9”Œr-magrittr >=1.5”Œr-mass >=7.3_51.6”Œr-plyr >=1.8.6”Œr-polynom >=1.4_0”Œr-rlang >=0.4.7”Œr-scales >=1.1.1”Œr-stringr >=1.4.0”Œr-tibble >=3.0.3”Œr-xts >=0.12_0”Œr-zoo >=1.8_8”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#	ÚWPhEJ€m hFˆubh)”}”(hŒr-ggpp”h#Œ0.5.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-ggpp-0.5.2-r43hc72bb7e_1.conda”h+Œ 28e50f4b7beac591e864f287beb3b168”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ggpp-0.5.2-r43hc72bb7e_1.conda”h0Œ@80fe6dfd17be8a5660b6254df36658898ea606af0094135d1f1c562435efaf16”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=1.0.2”Œr-generics >=0.1.0”Œr-ggplot2 >=3.3.2”Œr-glue >=1.4.2”Œr-gridextra >=2.3”Œr-lubridate >=1.7.9”Œr-magrittr >=1.5”Œr-mass >=7.3_51.6”Œr-plyr >=1.8.6”Œr-polynom >=1.4_0”Œr-rlang >=0.4.7”Œr-scales >=1.1.1”Œr-stringr >=1.4.0”Œr-tibble >=3.0.3”Œr-xts >=0.12_0”Œr-zoo >=1.8_8”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#	ï¨r°hEJu hFˆubh)”}”(hŒr-ggpubr”h#Œ0.6.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ggpubr-0.6.0-r41hc72bb7e_0.conda”h+Œ da00ae3dbcedfcfe0d1026c7bc257712”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggpubr-0.6.0-r41hc72bb7e_0.conda”h0Œ@7c53c46b119f0ac4f0962df2c550f7f2039d45ad1f029942b83a3d12cd0b680c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-dplyr >=0.7.1”Œ	r-ggplot2”Œ	r-ggrepel”Œr-ggsci”Œ
r-ggsignif”Œr-glue”Œr-gridextra”Œ
r-magrittr”Œ	r-polynom”Œr-purrr”Œr-rlang”Œ	r-rstatix”Œr-scales”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØù©,~È´hEJ¹÷ hFˆubh)”}”(hŒr-ggpubr”h#Œ0.6.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ggpubr-0.6.0-r42hc72bb7e_0.conda”h+Œ 27da11fafe19aada6a1a77fc2466142e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggpubr-0.6.0-r42hc72bb7e_0.conda”h0Œ@8e2878461d7b1cd31087d036beabb16132b1c20d69e41a43fb182ccdcb294587”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cowplot”Œr-dplyr >=0.7.1”Œ	r-ggplot2”Œ	r-ggrepel”Œr-ggsci”Œ
r-ggsignif”Œr-glue”Œr-gridextra”Œ
r-magrittr”Œ	r-polynom”Œr-purrr”Œr-rlang”Œ	r-rstatix”Œr-scales”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØù©>{hEJ{ú hFˆubh)”}”(hŒr-ggquickeda”h#Œ0.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggquickeda-0.3.0-r41hc72bb7e_0.conda”h+Œ e63f7d9305ac22fe2a1bda3f60849220”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggquickeda-0.3.0-r41hc72bb7e_0.conda”h0Œ@c0d7cea982031944b49cdf780c7096dc299c3bd3fefcc2289c58275749752291”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colourpicker”Œr-dplyr”Œr-dt”Œ	r-formula”Œr-ggally >=2.1.0”Œr-ggbeeswarm”Œr-ggplot2 >=3.3.2”Œ	r-ggpmisc”Œr-ggpubr”Œr-ggrepel >=0.7.0”Œ
r-ggstance”Œr-gridextra”Œr-hmisc”Œ
r-markdown”Œr-plotly”Œ
r-quantreg”Œr-rlang”Œr-rpostgres”Œr-scales”Œr-shiny >=1.0.4”Œr-shinyfiles”Œr-shinyjqui”Œr-shinyjs >=1.1”Œ	r-stringr”Œ
r-survival”Œr-survminer”Œr-table1 >=1.2”Œr-tidyr”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙê‡hEJ½÷( hFˆubh)”}”(hŒr-ggquickeda”h#Œ0.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggquickeda-0.3.0-r42hc72bb7e_0.conda”h+Œ 222a3f46fe777446dcba6b952f5413a1”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggquickeda-0.3.0-r42hc72bb7e_0.conda”h0Œ@375b3fc591ccafbff52f7a3d65c0e4aa2086ad81ea71a70830f26327440d435d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colourpicker”Œr-dplyr”Œr-dt”Œ	r-formula”Œr-ggally >=2.1.0”Œr-ggbeeswarm”Œr-ggplot2 >=3.3.2”Œ	r-ggpmisc”Œr-ggpubr”Œr-ggrepel >=0.7.0”Œ
r-ggstance”Œr-gridextra”Œr-hmisc”Œ
r-markdown”Œr-plotly”Œ
r-quantreg”Œr-rlang”Œr-rpostgres”Œr-scales”Œr-shiny >=1.0.4”Œr-shinyfiles”Œr-shinyjqui”Œr-shinyjs >=1.1”Œ	r-stringr”Œ
r-survival”Œr-survminer”Œr-table1 >=1.2”Œr-tidyr”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙåAÊÁhEJÎÖ( hFˆubh)”}”(hŒ
r-ggragged”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ggragged-0.1.0-r41hc72bb7e_0.conda”h+Œ e9af0f7d2cec982c3c3bbb81c91e8a19”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggragged-0.1.0-r41hc72bb7e_0.conda”h0Œ@8152aa412953511b030508e16d5c29bd0036d37bdca0167ec77388de7c8b3063”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gtable”Œr-rlang”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ:„ÌÍhEJFC hFˆubh)”}”(hŒ
r-ggragged”h#Œ0.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-ggragged-0.1.0-r42hc72bb7e_0.conda”h+Œ ed9e09f4d58497f937eb45455283969e”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggragged-0.1.0-r42hc72bb7e_0.conda”h0Œ@235b8e016a0dd6cf643a76d8074cea4105a61fcc929feb8000596a9d7dc69549”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-gtable”Œr-rlang”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ4¬hEJ„C hFˆubh)”}”(hŒ	r-ggrastr”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ggrastr-1.0.2-r41hc72bb7e_0.conda”h+Œ 550b4eb6e94df6e6568b99496da4fc90”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggrastr-1.0.2-r41hc72bb7e_0.conda”h0Œ@35b27082ddb3e9af7214e6c3fc5a59a82f5f86b640f6f414eb860dee2b9822f2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cairo >=1.5.9”Œr-ggbeeswarm”Œr-ggplot2 >=2.1.0”Œr-png”Œr-ragg”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ˜hEJkE' hFˆubh)”}”(hŒ	r-ggrastr”h#Œ1.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ggrastr-1.0.2-r42hc72bb7e_0.conda”h+Œ b53dc751e925f9877e1ba0c09951e332”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggrastr-1.0.2-r42hc72bb7e_0.conda”h0Œ@6aa26861971df70bb482fd9ba5d1b025f04097c32ebb1647e887b9f83c9f09ea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cairo >=1.5.9”Œr-ggbeeswarm”Œr-ggplot2 >=2.1.0”Œr-png”Œr-ragg”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙª™G®hEJâF' hFˆubh)”}”(hŒ
r-ggridges”h#Œ0.5.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-ggridges-0.5.4-r42hc72bb7e_2.conda”h+Œ 7820e38270cff89728b50ed9e85f7078”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggridges-0.5.4-r42hc72bb7e_2.conda”h0Œ@62bfc0a11ce3da11e5685583b332eb375015f194814816a9106a2abce71eff99”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-plyr >=1.8.0”Œr-scales >=0.4.1”Œr-withr >=2.1.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"¥xƒhEJÑ³  hFˆubh)”}”(hŒ
r-ggridges”h#Œ0.5.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-ggridges-0.5.4-r43hc72bb7e_2.conda”h+Œ b1acb1882482c26ae13ec081e01826f1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggridges-0.5.4-r43hc72bb7e_2.conda”h0Œ@e8ecb1aa3b5adff3c797aec5baea805f650f532b089370c0819af79f84723b39”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=3.0.0”Œr-plyr >=1.8.0”Œr-scales >=0.4.1”Œr-withr >=2.1.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"¥Á©ühEJ(©  hFˆubh)”}”(hŒr-ggsci”h#Œ3.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ggsci-3.0.0-r41hc72bb7e_0.conda”h+Œ 83fd350277444002a6d8bb8defd8837f”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggsci-3.0.0-r41hc72bb7e_0.conda”h0Œ@2c631af4f17b3d134cec2c494d639131daf86d844e68c4945b8e131f9ef2a980”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.0.0”Œr-scales”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙÃš=qhEJÍ! hFˆubh)”}”(hŒr-ggsci”h#Œ3.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-ggsci-3.0.0-r42hc72bb7e_0.conda”h+Œ 4112e20495876a1f75584050ec6968d6”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggsci-3.0.0-r42hc72bb7e_0.conda”h0Œ@8d62145a5fb57b3b7ff2120fab69db052eebeef977fef7d72324e86e4c54a3c3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.0.0”Œr-scales”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙÕÊJhEJ‰! hFˆubh)”}”(hŒr-ggsci”h#Œ3.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-ggsci-3.0.0-r42hc72bb7e_1.conda”h+Œ da2c44bf4c6d4926d5227b5e2443824a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggsci-3.0.0-r42hc72bb7e_1.conda”h0Œ@36108c749711693bcb8ae438810582f434086e4abd74b9b46e66131ec93ec40c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.0.0”Œr-scales”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"¥hmÒòhEJ–! hFˆubh)”}”(hŒr-ggsci”h#Œ3.0.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-ggsci-3.0.0-r43hc72bb7e_1.conda”h+Œ 7076f67ca2f5bfa39029bdd0cacd727a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggsci-3.0.0-r43hc72bb7e_1.conda”h0Œ@b0e9f5ce4ead097dd45c06f84c3ef29bda884751ddc289090bd6db9790f34c17”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=2.0.0”Œr-scales”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"¥Y/PhEJ›! hFˆubh)”}”(hŒr-ggside”h#Œ0.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ggside-0.2.2-r41hc72bb7e_0.conda”h+Œ 7cd401d0aa2d8c1d0f80fb13214e0989”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggside-0.2.2-r41hc72bb7e_0.conda”h0Œ@44acdfec9e173832dca037cdb2947ac49210a205454e1719ca82e50761bda620”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØãW"þ¸RhEJ1+ hFˆubh)”}”(hŒr-ggside”h#Œ0.2.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ggside-0.2.2-r42hc72bb7e_0.conda”h+Œ 7b647d7f1868f4065b3040aed5701a37”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggside-0.2.2-r42hc72bb7e_0.conda”h0Œ@8d9d1fcf1a613e7219bc342212d656c48c7bfd873a92e6450b9f147c069e1f50”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØãW@  hEJð0+ hFˆubh)”}”(hŒ
r-ggsignif”h#Œ0.6.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-ggsignif-0.6.4-r42hc72bb7e_1.conda”h+Œ 07074dfb21713271943fbfe9551d26dd”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggsignif-0.6.4-r42hc72bb7e_1.conda”h0Œ@7994ef7a268595d120c6f2aee761f859394069c0f2ca2fe6393abf0fcbd06c45”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.0.0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"«ªÃohEJÅº hFˆubh)”}”(hŒ
r-ggsignif”h#Œ0.6.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-ggsignif-0.6.4-r43hc72bb7e_1.conda”h+Œ f849c664dbfd8f640442930509bf51ba”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggsignif-0.6.4-r43hc72bb7e_1.conda”h0Œ@1987bec3bcaf92f7c5726c5352dfadfa50d4b76ef3773e395764b452ded7bafc”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=2.0.0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"««g
=hEJ¶º hFˆubh)”}”(hŒr-ggspatial”h#Œ1.1.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-ggspatial-1.1.8-r41hc72bb7e_0.conda”h+Œ 2a9dd75f4ad03608106fb5222b1cf557”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggspatial-1.1.8-r41hc72bb7e_0.conda”h0Œ@0b106d74814aa473809dcac773910f01a2643b8ebadfa21a332469c0d280b823”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œr-rlang”Œr-rosm >=0.2”Œr-scales”Œr-sf”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙà„Ý/hEJ2% hFˆubh)”}”(hŒr-ggspatial”h#Œ1.1.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-ggspatial-1.1.8-r42hc72bb7e_0.conda”h+Œ 6d155384209ef9cf5ef45913f973ed85”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggspatial-1.1.8-r42hc72bb7e_0.conda”h0Œ@5b414c401ada95e3031ba82682b885a3a02f2794fae457fc0957b5192dd0b62f”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œr-rlang”Œr-rosm >=0.2”Œr-scales”Œr-sf”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÛ$›¦hEJâ% hFˆubh)”}”(hŒr-ggspectra”h#Œ0.3.11”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggspectra-0.3.11-r41hc72bb7e_0.conda”h+Œ 98d70f492c4b4df9a995558369b11532”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggspectra-0.3.11-r41hc72bb7e_0.conda”h0Œ@e3a548adf3ed983ba1d8a7c4457dff12074285e3ae98dd4e38d625b60c1ac069”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.4.0”Œr-ggrepel >=0.9.1”Œr-lubridate >=1.8.0”Œr-photobiology >=0.10.15”Œr-photobiologywavebands >=0.5.1”Œr-rlang >=1.0.2”Œr-scales >=1.2.0”Œr-tibble >=3.1.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ¸7kt¼hEJš# hFˆubh)”}”(hŒr-ggspectra”h#Œ0.3.11”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggspectra-0.3.11-r42hc72bb7e_0.conda”h+Œ 6f7960d43b4f731be7b4b08c0ebd4d3e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggspectra-0.3.11-r42hc72bb7e_0.conda”h0Œ@334582723af3b404c5da3f9757b4b8b00a36f9fcf70a7aae2363d9a6d3f47f7f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.4.0”Œr-ggrepel >=0.9.1”Œr-lubridate >=1.8.0”Œr-photobiology >=0.10.15”Œr-photobiologywavebands >=0.5.1”Œr-rlang >=1.0.2”Œr-scales >=1.2.0”Œr-tibble >=3.1.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ¸D5?hEJ´# hFˆubh)”}”(hŒ
r-ggstance”h#Œ0.3.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-ggstance-0.3.6-r42hc72bb7e_1.conda”h+Œ 01417112fab01300d8a54361ba52ce9f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggstance-0.3.6-r42hc72bb7e_1.conda”h0Œ@32b02259c79b60d1c8f8b8e33c7322e5e8c48d9d776bed7a160f8ef7e3dfa22d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.2.0”Œr-plyr”Œr-rlang”Œr-withr >=2.0.0”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"Í:ñªhEJ]ø hFˆubh)”}”(hŒ
r-ggstance”h#Œ0.3.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-ggstance-0.3.6-r43hc72bb7e_1.conda”h+Œ 438552a0936103fa31d05b4200bdad19”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggstance-0.3.6-r43hc72bb7e_1.conda”h0Œ@46467cf1a615cfbedbeb25c114bdccc70b856cadd0765da8f5e39d416124fbb5”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=3.2.0”Œr-plyr”Œr-rlang”Œr-withr >=2.0.0”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"Íý¸hEJÌò hFˆubh)”}”(hŒ	r-ggstats”h#Œ0.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ggstats-0.3.0-r41hc72bb7e_0.conda”h+Œ cef0471224ada8c0cdca64e1082ac9a5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggstats-0.3.0-r41hc72bb7e_0.conda”h0Œ@382b423755d700a6106ac713cfd37b85055985cbd6784eee364f6f99be30eab9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom.helpers”Œr-cli”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-lifecycle”Œ
r-magrittr”Œr-scales”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÄ¼Â\hEJæ¤
 hFˆubh)”}”(hŒ	r-ggstats”h#Œ0.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ggstats-0.3.0-r42hc72bb7e_0.conda”h+Œ d45705a6f6284fb8de9fc11226171172”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggstats-0.3.0-r42hc72bb7e_0.conda”h0Œ@51a25926f7330a69fa23a0068e17b8c9b886e30f0ad11c277a4ad22dfd05f37b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom.helpers”Œr-cli”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-lifecycle”Œ
r-magrittr”Œr-scales”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÄ¸ø´9hEJ§¨
 hFˆubh)”}”(hŒr-ggstatsplot”h#Œ0.11.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-ggstatsplot-0.11.1-r41hc72bb7e_0.conda”h+Œ 57d65161e2ed66bec2d31aaaf96cd9cb”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ggstatsplot-0.11.1-r41hc72bb7e_0.conda”h0Œ@141a1781fab5a9cffacd8d29e6e03a59c7c9795866a25257e915a5a49e4a10f3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-correlation >=0.6.0”Œr-dplyr”Œr-ggcorrplot”Œ	r-ggextra”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-ggsignif”Œr-insight >=0.13.0”Œr-ipmisc >=6.0.0”Œr-pairwisecomparisons >=3.1.3”Œr-paletteer”Œr-parameters >=0.11.0”Œr-patchwork”Œr-performance”Œr-purrr”Œr-rlang”Œr-statsexpressions >=0.7.1”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙKIºhEJ(Ù2 hFˆubh)”}”(hŒr-ggstatsplot”h#Œ0.11.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-ggstatsplot-0.11.1-r42hc72bb7e_0.conda”h+Œ b7b2b48aff3e02727e50f9b0fc4ed635”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ggstatsplot-0.11.1-r42hc72bb7e_0.conda”h0Œ@f0692030d62dff6058db9850464cd15cecfc8facdc3da0aad9e9bc1ea5ab1831”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-correlation >=0.6.0”Œr-dplyr”Œr-ggcorrplot”Œ	r-ggextra”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-ggsignif”Œr-insight >=0.13.0”Œr-ipmisc >=6.0.0”Œr-pairwisecomparisons >=3.1.3”Œr-paletteer”Œr-parameters >=0.11.0”Œr-patchwork”Œr-performance”Œr-purrr”Œr-rlang”Œr-statsexpressions >=0.7.1”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙK~hEJÖ2 hFˆubh)”}”(hŒr-ggsurvfit”h#Œ0.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-ggsurvfit-0.3.0-r41hc72bb7e_0.conda”h+Œ 45902f6a1cf8716ebad058b1247d33c0”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggsurvfit-0.3.0-r41hc72bb7e_0.conda”h0Œ@57d4f36e00aaa558cce2082d63518d4d8bd9cd05e2a8e6c18026ca641d4dad3a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom >=1.0.0”Œr-cli >=3.0.0”Œr-dplyr >=1.0.3”Œr-ggplot2 >=3.4.0”Œr-glue >=1.6.0”Œr-gtable”Œr-patchwork >=1.1.0”Œr-rlang >=1.0.0”Œr-survival >=3.4_0”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ×…ãThEJ·G hFˆubh)”}”(hŒr-ggsurvfit”h#Œ0.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-ggsurvfit-0.3.0-r42hc72bb7e_0.conda”h+Œ e0ed6d702daa9b32b0820c5c13f9c9df”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggsurvfit-0.3.0-r42hc72bb7e_0.conda”h0Œ@32bad054cc548a3ec0c2ed7e926bd05d867dcbcc401954a9638172b72af77630”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom >=1.0.0”Œr-cli >=3.0.0”Œr-dplyr >=1.0.3”Œr-ggplot2 >=3.4.0”Œr-glue >=1.6.0”Œr-gtable”Œr-patchwork >=1.1.0”Œr-rlang >=1.0.0”Œr-survival >=3.4_0”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ×Ên˜hEJF hFˆubh)”}”(hŒr-ggtern”h#Œ3.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ggtern-3.4.2-r41hc72bb7e_0.conda”h+Œ 2792056592fbf048c25cfc842b73ee3a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggtern-3.4.2-r41hc72bb7e_0.conda”h0Œ@77855f4d802fbdbf43594f041773cc04ddbde8fdf880ac79727d99957d0f0f0c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-compositions >=2.0_2”Œr-ggplot2 >=3.4.0”Œr-gridextra >=2.3”Œr-gtable >=0.1.2”Œr-hexbin >=1.28.2”Œr-latex2exp >=0.5”Œ	r-lattice”Œr-mass”Œr-plyr >=1.8.3”Œr-proto >=1.0”Œr-scales >=0.3.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÉ$¢n˜hEJóÍ hFˆubh)”}”(hŒr-ggtern”h#Œ3.4.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ggtern-3.4.2-r42hc72bb7e_0.conda”h+Œ 982c2d8f47d6025542fd27f42ba6c20a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggtern-3.4.2-r42hc72bb7e_0.conda”h0Œ@d275d84d473f0c19b41ca6f62d89686d0beddca14c3fc815ff19ad85ab8a3cb9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-compositions >=2.0_2”Œr-ggplot2 >=3.4.0”Œr-gridextra >=2.3”Œr-gtable >=0.1.2”Œr-hexbin >=1.28.2”Œr-latex2exp >=0.5”Œ	r-lattice”Œr-mass”Œr-plyr >=1.8.3”Œr-proto >=1.0”Œr-scales >=0.3.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÉ2øÔþhEJ¼Ñ hFˆubh)”}”(hŒr-ggtext”h#Œ0.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-ggtext-0.1.2-r42hc72bb7e_2.conda”h+Œ 04cd90cb35fe32c8a149656c86a7c06f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggtext-0.1.2-r42hc72bb7e_2.conda”h0Œ@0d5e672b8895ba866497e53c056253ed3194782b80788af5f564f618df0285ea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.3.0”Œ
r-gridtext”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Í5¸hEJí§ hFˆubh)”}”(hŒr-ggtext”h#Œ0.1.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-ggtext-0.1.2-r43hc72bb7e_2.conda”h+Œ c77cb1803a55ad9690e284aa9e419c8d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggtext-0.1.2-r43hc72bb7e_2.conda”h0Œ@f91e1084430e366174b2248d6c86e3de7a696129f31180237149a12eb3b57804”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=3.3.0”Œ
r-gridtext”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÍÀbhEJÌ hFˆubh)”}”(hŒ
r-ggthemes”h#Œ4.2.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-ggthemes-4.2.4-r42hc72bb7e_2.conda”h+Œ bae4428a6f8d005a26acb3fb87e3fc5a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggthemes-4.2.4-r42hc72bb7e_2.conda”h0Œ@f58e6e77062507ccd357a0064471c2ab589ab8d3af6cbde0ea2204ab51560d21”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-purrr”Œr-scales”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"ë×ß;hEJa¼ hFˆubh)”}”(hŒ
r-ggthemes”h#Œ4.2.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-ggthemes-4.2.4-r43hc72bb7e_2.conda”h+Œ dd70ca77978dca2368d3a98501f697b5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggthemes-4.2.4-r43hc72bb7e_2.conda”h0Œ@1e76ca9dd84224375b68311b75d68896035e2991a7a5bdc30cd0dcc1a44a544e”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=3.0.0”Œr-purrr”Œr-scales”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"ëŒ¨r°hEJã· hFˆubh)”}”(hŒr-ggvenn”h#Œ0.1.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ggvenn-0.1.10-r41hc72bb7e_0.conda”h+Œ fe053a8b1cacb2347ef0ecdd2badcf62”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggvenn-0.1.10-r41hc72bb7e_0.conda”h0Œ@cef916b82413898363632c972306c9d97d0066790fa345508610ea311503f3c0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ	šôxÄœhEJG8 hFˆubh)”}”(hŒr-ggvenn”h#Œ0.1.10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ggvenn-0.1.10-r42hc72bb7e_0.conda”h+Œ c1b10e3a538c64b6f2589c5bc17fc07f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggvenn-0.1.10-r42hc72bb7e_0.conda”h0Œ@80270c460a8766e7fb9af57d0124dfa4275f7eef799fc4647691e69b22d570de”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ	šý QìhEJ9 hFˆubh)”}”(hŒr-ggvis”h#Œ0.4.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ggvis-0.4.8-r41hc72bb7e_0.conda”h+Œ e266ba316b8c7a6d238f98e4d03042f9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggvis-0.4.8-r41hc72bb7e_0.conda”h0Œ@f64a5a19369f9dee7073f3d9081b5c4f8dbd064a06955e0f5ab1887765122dc6”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.4.0”Œr-htmltools >=0.2.4”Œr-jsonlite >=0.9.11”Œ
r-lazyeval”Œ
r-magrittr”Œr-shiny >=0.11.1”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙH£.{hEJ¹ý hFˆubh)”}”(hŒr-ggvis”h#Œ0.4.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-ggvis-0.4.8-r42hc72bb7e_0.conda”h+Œ d2615bb40d38dc00ba1f0768efa9bd4d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ggvis-0.4.8-r42hc72bb7e_0.conda”h0Œ@f50d2c7f11c90b49aea04e7156085a475fb37f677b41971db2774f447101ee98”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.4.0”Œr-htmltools >=0.2.4”Œr-jsonlite >=0.9.11”Œ
r-lazyeval”Œ
r-magrittr”Œr-shiny >=0.11.1”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙH¤nE¢hEJ hFˆubh)”}”(hŒr-gh”h#Œ1.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-gh-1.4.0-r41hc72bb7e_0.conda”h+Œ c98963da06b3e14fad1f88353079b7fa”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-gh-1.4.0-r41hc72bb7e_0.conda”h0Œ@cd3cc4d69fa1579bf7016ce69bec1f1dcc7d51aa034546406ca8104855d68727”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.0.1”Œ
r-gitcreds”Œr-httr2”Œr-ini”Œ
r-jsonlite”Œr-rlang >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØýÍ,|›¦hEJq§ hFˆubh)”}”(hŒr-gh”h#Œ1.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-gh-1.4.0-r42hc72bb7e_0.conda”h+Œ 6db81c135ecd1a6946439b72a6507db3”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-gh-1.4.0-r42hc72bb7e_0.conda”h0Œ@96e07d9789a327dc6bef4a991d1ec5033fe926bbf9e336fa9c25023e4706c5a9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.0.1”Œ
r-gitcreds”Œr-httr2”Œr-ini”Œ
r-jsonlite”Œr-rlang >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØýÍ:Y‡hEJÜ§ hFˆubh)”}”(hŒr-gh”h#Œ1.4.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-gh-1.4.0-r42hc72bb7e_1.conda”h+Œ 37adca5855fb5475acf9b60e037eca29”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-gh-1.4.0-r42hc72bb7e_1.conda”h0Œ@c54b1dd5653a298336e2db72e8c15805ac9cd3bfdc5a30950d908e3953630087”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.0.1”Œ
r-gitcreds”Œr-httr2”Œr-ini”Œ
r-jsonlite”Œr-rlang >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´ª`BhEJg§ hFˆubh)”}”(hŒr-gh”h#Œ1.4.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-gh-1.4.0-r43hc72bb7e_1.conda”h+Œ 80178b9fd19de22ada48b819c5ec1e73”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-gh-1.4.0-r43hc72bb7e_1.conda”h0Œ@b537cfecff4e440190afc83e2ee55b75d9257292669f2007fa5be4a480b1c984”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli >=3.0.1”Œ
r-gitcreds”Œr-httr2”Œr-ini”Œ
r-jsonlite”Œr-rlang >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´¦~vÉhEJ¬¥ hFˆubh)”}”(hŒr-gifti”h#Œ0.8.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-gifti-0.8.0-r42hc72bb7e_1.conda”h+Œ 291658ef58924128155c29f2a232a51a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-gifti-0.8.0-r42hc72bb7e_1.conda”h0Œ@54c9319e830758ba6b12ab41d775da8fefd7208d723688dd356d004cd1fdd5c8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œ	r-r.utils”Œr-xml2 >=1.1.1”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAÙ#
7LhEJUF hFˆubh)”}”(hŒr-gifti”h#Œ0.8.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-gifti-0.8.0-r43hc72bb7e_1.conda”h+Œ f101b8ab4191d9ec22e1183c9029dfab”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-gifti-0.8.0-r43hc72bb7e_1.conda”h0Œ@94292eaae41a1d046482ca1f9eaa761cfa4f2b7d25010dbca2d7771b5a603d89”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc”Œ	r-r.utils”Œr-xml2 >=1.1.1”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAÙ#	ûÖÈ´hEJFE hFˆubh)”}”(hŒ
r-gitcreds”h#Œ0.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-gitcreds-0.1.2-r42hc72bb7e_2.conda”h+Œ 7c62272b1b7923deff78c70ed2d4f8b6”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gitcreds-0.1.2-r42hc72bb7e_2.conda”h0Œ@13e964e6f66f82714b9ef656ece43eea3c1e73957faa4da4eee5df6cfd258402”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"„uÅãThEJÅp hFˆubh)”}”(hŒ
r-gitcreds”h#Œ0.1.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-gitcreds-0.1.2-r43hc72bb7e_2.conda”h+Œ 37a7c083d32474a28d904056c506cc03”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gitcreds-0.1.2-r43hc72bb7e_2.conda”h0Œ@6cd4358550fca6e587f93492c6423c1431d67f5a55c1dd157848bf0d1a999bae”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"„d"ÑhEJ0r hFˆubh)”}”(hŒr-globaloptions”h#Œ0.1.2”h%Œr42ha770c72_2”h'Khhh(h)hŒ)r-globaloptions-0.1.2-r42ha770c72_2.conda”h+Œ c758327abd99fc7b6f0e524f1d791003”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-globaloptions-0.1.2-r42ha770c72_2.conda”h0Œ@ccaf2d0165a1251b2d4f659c545b5fcbb555b8bd02ff86a0cd0a9f0302f68021”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒGPL3”hDGAÙ"æ­ hEJ¾« hFˆubh)”}”(hŒr-globaloptions”h#Œ0.1.2”h%Œr43ha770c72_2”h'Khhh(h)hŒ)r-globaloptions-0.1.2-r43ha770c72_2.conda”h+Œ 32b9c749eab79a36405778db5ffb3aa9”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-globaloptions-0.1.2-r43ha770c72_2.conda”h0Œ@3835121018c3e236c44f18f95253f7d588115f8d13bcd894f2caea459f6ded23”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒGPL3”hDGAÙ"æ™z~úhEJ„Ó hFˆubh)”}”(hŒ	r-globals”h#Œ0.16.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-globals-0.16.2-r41hc72bb7e_0.conda”h+Œ 11ddcc27843ccee5551f55a1ac63c80b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-globals-0.16.2-r41hc72bb7e_0.conda”h0Œ@bde76c7cdc9b459355efbbd5df8b7106c8a0b4e664bba2a7338052a6d4fc8447”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-codetools”†”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØßŸ	xÕhEJXÕ hFˆubh)”}”(hŒ	r-globals”h#Œ0.16.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-globals-0.16.2-r42hc72bb7e_0.conda”h+Œ 66165233495395dbfab35feaa2423251”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-globals-0.16.2-r42hc72bb7e_0.conda”h0Œ@feb222ede82bfb09f8a8083e6b6cea160a7cd59c50cf76e512223261562bd7ab”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-codetools”†”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØß£;dhEJDÖ hFˆubh)”}”(hŒ	r-globals”h#Œ0.16.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-globals-0.16.2-r42hc72bb7e_1.conda”h+Œ 903f5c41ac90daeb00725e4d582863e5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-globals-0.16.2-r42hc72bb7e_1.conda”h0Œ@e82cc0e8536f0cc79a8f87dd10c6adc8b050223a56ff791e0ee0f8f92043c3e3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-codetools”†”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"s€ð£×hEJœÜ hFˆubh)”}”(hŒ	r-globals”h#Œ0.16.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-globals-0.16.2-r43hc72bb7e_1.conda”h+Œ 3e47fdbd87d5f83d7e6d10d1d93ba241”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-globals-0.16.2-r43hc72bb7e_1.conda”h0Œ@9afda720d5bd62966d9dcb927e0d9a7832c0bb3c06aaa32c0388f188d3c6a7a2”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-codetools”†”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"svup¤hEJ„Ø hFˆubh)”}”(hŒr-goeveg”h#Œ0.6.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-goeveg-0.6.5-r42hc72bb7e_0.conda”h+Œ 8f4b99be0160e04d8d4a3c750860b49b”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-goeveg-0.6.5-r42hc72bb7e_0.conda”h0Œ@bc1aa2bc30b18b0717315f01cd4277769f3437ff13ff5334bd8d5bb20d19e9ee”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œr-fields”Œr-hmisc”Œr-mgcv”Œr-vegan”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"/9QìhEJ…ã hFˆubh)”}”(hŒr-golem”h#Œ0.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-golem-0.4.1-r41hc72bb7e_0.conda”h+Œ 828479a550447fb859b72c0bd8d5c7f8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-golem-0.4.1-r41hc72bb7e_0.conda”h0Œ@389fbcc8eb6e0b53e36b1d139b8f9327ba49c55b3fc3b1b5c8b85cd1a56db057”h2NhNh3(Œr-attempt >=0.3.0”Œr-base >=4.1,<4.2.0a0”Œr-cli >=2.0.0”Œr-config”Œr-crayon”Œr-desc”Œr-fs”Œr-here”Œr-htmltools”Œ	r-pkgload”Œ
r-roxygen2”Œr-rstudioapi”Œr-shiny >=1.5.0”Œr-usethis >=1.6.0”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ‡ª¿l‹hEJJ/ hFˆubh)”}”(hŒr-golem”h#Œ0.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-golem-0.4.1-r42hc72bb7e_0.conda”h+Œ ac2983de83abf2bcde04195105d34efd”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-golem-0.4.1-r42hc72bb7e_0.conda”h0Œ@d777c920cf44da640b81b69c03e69555cfd9b7bf024312d87e7905c0d89a744b”h2NhNh3(Œr-attempt >=0.3.0”Œr-base >=4.2,<4.3.0a0”Œr-cli >=2.0.0”Œr-config”Œr-crayon”Œr-desc”Œr-fs”Œr-here”Œr-htmltools”Œ	r-pkgload”Œ
r-roxygen2”Œr-rstudioapi”Œr-shiny >=1.5.0”Œr-usethis >=1.6.0”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ‡£/ hEJ‡. hFˆubh)”}”(hŒr-googleauthr”h#Œ2.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-googleauthr-2.0.1-r41hc72bb7e_0.conda”h+Œ 47cfa99844d9d6acb45ae4eaea539434”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-googleauthr-2.0.1-r41hc72bb7e_0.conda”h0Œ@2e5231e15ac8ac88f5eb29c8896f32de8bd5a0153799aa8cca0bde5a2d2eb099”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.1,<4.2.0a0”Œr-cli >=2.0.2”Œr-digest”Œr-gargle >=0.4.0”Œr-httr >=1.4.0”Œr-jsonlite >=1.6”Œr-memoise >=1.1.0”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙTâÊÁhEJ
² hFˆubh)”}”(hŒr-googleauthr”h#Œ2.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-googleauthr-2.0.1-r42hc72bb7e_0.conda”h+Œ e2a7669d74416520dd852d24386e6555”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-googleauthr-2.0.1-r42hc72bb7e_0.conda”h0Œ@ce84fd19fa977b37a0fec82340507d56918ea6299422f0766084843389fc290d”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.2,<4.3.0a0”Œr-cli >=2.0.2”Œr-digest”Œr-gargle >=0.4.0”Œr-httr >=1.4.0”Œr-jsonlite >=1.6”Œr-memoise >=1.1.0”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙTò´‹DhEJå­ hFˆubh)”}”(hŒr-googledrive”h#Œ2.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-googledrive-2.1.1-r42hc72bb7e_0.conda”h+Œ bbb9080b33c31881ebad86b4f7b7560a”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-googledrive-2.1.1-r42hc72bb7e_0.conda”h0Œ@68273de607a66193ffac24c8ce421c9096b5b458e5fe224cb3cae51b00af8427”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=2.8.1”Œr-gargle >=0.3.1”Œr-glue >=1.2.0”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr >=0.2.3”Œr-rlang >=0.3.1”Œr-tibble >=2.0.0”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ!7}ÂhEJOb hFˆubh)”}”(hŒr-googledrive”h#Œ2.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-googledrive-2.1.1-r42hc72bb7e_1.conda”h+Œ d3f237843c119c4bf8e0051af5fcd750”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-googledrive-2.1.1-r42hc72bb7e_1.conda”h0Œ@c76cc5a33fdcb3feff13f9e81b7325c44ed0d71cba71521f41288e9d984c7502”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=2.8.1”Œr-gargle >=0.3.1”Œr-glue >=1.2.0”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr >=0.2.3”Œr-rlang >=0.3.1”Œr-tibble >=2.0.0”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Æ¹à´9hEJ¼_ hFˆubh)”}”(hŒr-googledrive”h#Œ2.1.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-googledrive-2.1.1-r43hc72bb7e_1.conda”h+Œ d9210dab882da3bff6327c5b90e7abcf”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-googledrive-2.1.1-r43hc72bb7e_1.conda”h0Œ@a36e6a29d1fd0c697f5aced197dd6f0c9369868044c3e0a300ecce0b350dafff”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-curl >=2.8.1”Œr-gargle >=0.3.1”Œr-glue >=1.2.0”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr >=0.2.3”Œr-rlang >=0.3.1”Œr-tibble >=2.0.0”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Æ²`1'hEJšT hFˆubh)”}”(hŒr-googlesheets4”h#Œ1.1.1”h%Œr42h785f33e_0”h'K hhh(h)hŒ)r-googlesheets4-1.1.1-r42h785f33e_0.conda”h+Œ d9f89057bcaa6aba987e90cf551bf7ff”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-googlesheets4-1.1.1-r42h785f33e_0.conda”h0Œ@c3eb66c76d88304d8c6e780ec058775d339381914489bdc01dc5b7ffe6026ad7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cellranger”Œr-cli >=3.0.0”Œr-curl”Œr-gargle >=1.2.0”Œr-glue >=1.3.0”Œr-googledrive >=2.0.0”Œr-httr”Œr-ids”Œ
r-magrittr”Œr-purrr”Œ
r-rematch2”Œr-rlang >=0.4.11”Œr-tibble >=2.1.1”Œr-vctrs >=0.2.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ!W­I&éhEJÂà hFˆubh)”}”(hŒr-googlesheets4”h#Œ1.1.1”h%Œr42h785f33e_1”h'Khhh(h)hŒ)r-googlesheets4-1.1.1-r42h785f33e_1.conda”h+Œ f075e9daa8a87c08aa67b82dfe33d47b”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-googlesheets4-1.1.1-r42h785f33e_1.conda”h0Œ@f0cea01774b59d1fd445a6e5fca261fa9ededc018c3905fd58c88a7ba893339a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cellranger”Œr-cli >=3.0.0”Œr-curl”Œr-gargle >=1.2.0”Œr-glue >=1.3.0”Œr-googledrive >=2.0.0”Œr-httr”Œr-ids”Œ
r-magrittr”Œr-purrr”Œ
r-rematch2”Œr-rlang >=0.4.11”Œr-tibble >=2.1.1”Œr-vctrs >=0.2.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Óp©º^hEJêß hFˆubh)”}”(hŒr-googlesheets4”h#Œ1.1.1”h%Œr43h785f33e_1”h'Khhh(h)hŒ)r-googlesheets4-1.1.1-r43h785f33e_1.conda”h+Œ 670d1b0ae79909f256ec8decf53283de”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-googlesheets4-1.1.1-r43h785f33e_1.conda”h0Œ@b3eb51b8333a889ba40cb8278d71e8a1ba8652ea1b16d5f2e4dfa4c376109821”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cellranger”Œr-cli >=3.0.0”Œr-curl”Œr-gargle >=1.2.0”Œr-glue >=1.3.0”Œr-googledrive >=2.0.0”Œr-httr”Œr-ids”Œ
r-magrittr”Œr-purrr”Œ
r-rematch2”Œr-rlang >=0.4.11”Œr-tibble >=2.1.1”Œr-vctrs >=0.2.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Óp'KÇhEJÌÒ hFˆubh)”}”(hŒr-googlevis”h#Œ0.7.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-googlevis-0.7.1-r41hc72bb7e_0.conda”h+Œ 7181c35d8d0fdeb2e5e41381204dca48”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-googlevis-0.7.1-r41hc72bb7e_0.conda”h0Œ@5b1fb3f1ab7ef97466506a3f48357e8154c1b57d13499e982b7bf21bce1f7bef”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ îzñªhEJ% hFˆubh)”}”(hŒr-googlevis”h#Œ0.7.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-googlevis-0.7.1-r42hc72bb7e_0.conda”h+Œ 5cb6c6e27760b39a4907862f04901754”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-googlevis-0.7.1-r42hc72bb7e_0.conda”h0Œ@83f39f86387f52db5f7930512ff814122648eeaebf6e28e44a71e6b05e81f2c3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ ã%ó¶hEJw) hFˆubh)”}”(hŒr-gparotation”h#Œ2023.3_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-gparotation-2023.3_1-r41hc72bb7e_0.conda”h+Œ c4ce3fe6f1a27d0d703cff24240f8cc3”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gparotation-2023.3_1-r41hc72bb7e_0.conda”h0Œ@171edc5b6b35a9a4e061e18d23615dc367d600a43f5c0836a42ee1d5e218d7fd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙf¿¦VhEJó hFˆubh)”}”(hŒr-gparotation”h#Œ2023.3_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-gparotation-2023.3_1-r42hc72bb7e_0.conda”h+Œ bb08ad0c5b07afb5045829cc76a2a6ec”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gparotation-2023.3_1-r42hc72bb7e_0.conda”h0Œ@e4a8df21876f6cfb34fc5b800109be2af266a8fc463da31f0981641bfb2f721e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙf¹‘©ühEJ« hFˆubh)”}”(hŒr-gparotation”h#Œ2023.3_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-gparotation-2023.3_1-r42hc72bb7e_1.conda”h+Œ 82f3849014f3c4459d1bc6ee71f0d2fa”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gparotation-2023.3_1-r42hc72bb7e_1.conda”h0Œ@e13e8c36d1035c23c9b09f5222644524f2b160c33e272db2b0540c237ddcef9b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÓjÄÝ/hEJ„ hFˆubh)”}”(hŒr-gparotation”h#Œ2023.3_1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ*r-gparotation-2023.3_1-r43hc72bb7e_1.conda”h+Œ 0ad460f3b20b742ab01a362824648b0e”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gparotation-2023.3_1-r43hc72bb7e_1.conda”h0Œ@ba5156ed41d56ea47fe3dbbea71cee178f4efc54f68de7cc72cfc2f23809e711”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÓjgïžhEJ7 hFˆubh)”}”(hŒr-gpfit”h#Œ1.0_8”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ!r-gpfit-1.0_8-r42hc72bb7e_3.conda”h+Œ e3ca529cc3b4e080d3fbfc1359f8f609”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-gpfit-1.0_8-r42hc72bb7e_3.conda”h0Œ@d21ef23f3189f8276c8fd5246bcda762863d23fe2204bdcea4e2076f1d1c13b3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lattice >=0.18_8”Œr-lhs >=0.5”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"¬XýôhEJÐ] hFˆubh)”}”(hŒr-gpfit”h#Œ1.0_8”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ!r-gpfit-1.0_8-r43hc72bb7e_3.conda”h+Œ 662a888e295121bf55631c7c0e693ee9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-gpfit-1.0_8-r43hc72bb7e_3.conda”h0Œ@d6d56069179e369a9d3a816875e16b15f8f47819d21ca95a5dbd13a7878b375d”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-lattice >=0.18_8”Œr-lhs >=0.5”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"¬V7ß;hEJT_ hFˆubh)”}”(hŒr-gplots”h#Œ3.1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-gplots-3.1.3-r42hc72bb7e_2.conda”h+Œ 5a110bec1aa8069509bdd656b936ecbc”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gplots-3.1.3-r42hc72bb7e_2.conda”h0Œ@d841058284c2eb6257fe3760a43c0e48d5f0a1995bcaa54255a6e3923d803473”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-catools”Œr-gtools”Œr-kernsmooth”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"—Ý„¼jhEJT7	 hFˆubh)”}”(hŒr-gplots”h#Œ3.1.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-gplots-3.1.3-r43hc72bb7e_2.conda”h+Œ bb14f7afd3a86986a210f37fbc9c7916”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gplots-3.1.3-r43hc72bb7e_2.conda”h0Œ@2a926c7798801b4cf00f855b287cf491bdca7a3f8d3718a496e318c885a7b15e”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-catools”Œr-gtools”Œr-kernsmooth”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"—æ°1'hEJ¼0	 hFˆubh)”}”(hŒr-gprofiler2”h#Œ0.2.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-gprofiler2-0.2.2-r42hc72bb7e_0.conda”h+Œ c347377a1f3574a39225fc0192aa136d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gprofiler2-0.2.2-r42hc72bb7e_0.conda”h0Œ@de6dc6a8642fff18f0d2310cc9aaf357b75d06a87f6a8dde5f51041d0ad3f6fd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crosstalk”Œr-dplyr”Œ	r-ggplot2”Œr-gridextra”Œ
r-jsonlite”Œr-plotly”Œr-plyr”Œr-rcurl”Œr-tidyr”Œr-viridislite”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"RÆ  hEJŠå hFˆubh)”}”(hŒ	r-grafify”h#Œ3.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-grafify-3.2.0-r41hc72bb7e_0.conda”h+Œ 397664a4dabb16c6b7dcce4de0471609”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-grafify-3.2.0-r41hc72bb7e_0.conda”h0Œ@15282a4028d93ee4a892fab835caa5faf68854c5e93825b109033d8804d504ee”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ	r-emmeans”Œ	r-ggplot2”Œr-hmisc”Œr-lme4”Œ
r-lmertest”Œ
r-magrittr”Œr-mgcv”Œr-patchwork”Œr-purrr”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙn=&ffhEJ¶Â? hFˆubh)”}”(hŒ	r-grafify”h#Œ3.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-grafify-3.2.0-r42hc72bb7e_0.conda”h+Œ d2beb8ddf641ec24d8cefc3a05388523”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-grafify-3.2.0-r42hc72bb7e_0.conda”h0Œ@0a6d688c8d0b23cc5701f49a112edc14be9d70c0508d65eee8697626055c1d43”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œ	r-emmeans”Œ	r-ggplot2”Œr-hmisc”Œr-lme4”Œ
r-lmertest”Œ
r-magrittr”Œr-mgcv”Œr-patchwork”Œr-purrr”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙnHŸ¾hEJ¸½? hFˆubh)”}”(hŒr-grates”h#Œ1.1.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ"r-grates-1.1.0-r41h785f33e_0.conda”h+Œ a88e1e5f3a062db4d5143e784d2447cc”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-grates-1.1.0-r41h785f33e_0.conda”h0Œ@e98c1a4e505aea02d9b2972e9d98ff85dd64795c8e7c9290caee7e0f77c092d3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clock”Œ
r-ellipsis”Œr-rlang”Œr-vctrs >=0.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ ŸÞI©ühEJy hFˆubh)”}”(hŒr-grates”h#Œ1.1.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ"r-grates-1.1.0-r42h785f33e_0.conda”h+Œ e4bd0190ea8fe6765c7b53e7bd9b0f22”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-grates-1.1.0-r42h785f33e_0.conda”h0Œ@c799ac5752090ad440b6dba6f19b4d9e782a1f81384c2dde9025ec0976586bc7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-clock”Œ
r-ellipsis”Œr-rlang”Œr-vctrs >=0.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ Ÿç›t¼hEJ` hFˆubh)”}”(hŒ
r-gridbase”h#Œ0.4_7”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ'r-gridbase-0.4_7-r42hc72bb7e_1005.conda”h+Œ a26340468a1fa833eecc7527f8244b95”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r42hc72bb7e_1005.conda”h0Œ@cc5cba09b99f54900f2fdf79dd4ccdf3ce64947341bc7ab864c1e2c348568e64”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"öñYÛ#hEJÈ¹ hFˆubh)”}”(hŒ
r-gridbase”h#Œ0.4_7”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ'r-gridbase-0.4_7-r43hc72bb7e_1005.conda”h+Œ b8a10e85c4792eb1bf72ba8a99b06f2b”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r43hc72bb7e_1005.conda”h0Œ@ff0137b7781b27db5b5aaa3f5a85b4f369afd5b6c8ee450de30ff9325aa2e7c9”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"öð®VhEJx¹ hFˆubh)”}”(hŒr-gridextra”h#Œ2.3”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ&r-gridextra-2.3-r42hc72bb7e_1005.conda”h+Œ da116b29105a8d48571975a185e9bb94”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gridextra-2.3-r42hc72bb7e_1005.conda”h0Œ@94866ec2d371ce0bbda49e449a2f593c2be1d78eb023be7ae95c7caee3a71a68”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-gtable”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"}Û‹¥ãhEJ{ hFˆubh)”}”(h•      Œr-gridextra”h#Œ2.3”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ&r-gridextra-2.3-r43hc72bb7e_1005.conda”h+Œ 15f718c5ad9c479dc80f1812cc787c27”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gridextra-2.3-r43hc72bb7e_1005.conda”h0Œ@4d5c7469420a97f2092b64c8a875eecaf318c13f4ec8ad1b330b22b2bae66323”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-gtable”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"}ÚÊ~úhEJ= hFˆubh)”}”(hŒr-gridgraphics”h#Œ0.5_1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-gridgraphics-0.5_1-r42hc72bb7e_2.conda”h+Œ 0307163948917a3a14b1791881d1d02a”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gridgraphics-0.5_1-r42hc72bb7e_2.conda”h0Œ@d10dba74a4bb766e3d06bf77f20fc5dcd550aaa50561c7dc45c0fb335723fd65”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"Ìñ1ë…hEJ hFˆubh)”}”(hŒr-gridgraphics”h#Œ0.5_1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-gridgraphics-0.5_1-r43hc72bb7e_2.conda”h+Œ 7817a7053c3eba77a4212c22c62d0c0e”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gridgraphics-0.5_1-r43hc72bb7e_2.conda”h0Œ@343164ef47d8d8e8df7f1eb826f46fcef4bb2add7af983319f4e1d9329c3cf6c”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"Ì÷ “uhEJº  hFˆubh)”}”(hŒ	r-gridsvg”h#Œ1.7_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-gridsvg-1.7_5-r41hc72bb7e_0.conda”h+Œ d4da714a8120a11cbb7680432f5af7e5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gridsvg-1.7_5-r41hc72bb7e_0.conda”h0Œ@f974f8d993aed234509e29f799d7c89d9c6ae106f74146feea90c1c6413fe2d3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-xml”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ½ôí‘hEJ’D hFˆubh)”}”(hŒ	r-gridsvg”h#Œ1.7_5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-gridsvg-1.7_5-r42hc72bb7e_0.conda”h+Œ d16caa95c6de94e3bbea5ffe2a51f13b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gridsvg-1.7_5-r42hc72bb7e_0.conda”h0Œ@bf1270ce44b94cff9a8fe188984837186ab7d5349c8af9748196eae9f0243e1d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-xml”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ¿¸ÄœhEJùC hFˆubh)”}”(hŒ
r-grimport”h#Œ0.9_7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-grimport-0.9_7-r41hc72bb7e_0.conda”h+Œ 2251f943c40a9ee9b64266b4ac6372c7”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-grimport-0.9_7-r41hc72bb7e_0.conda”h0Œ@5b65b3c0203c6d99d07b4fb32d7a3d0c88e266557bda1401314cb7d94f4c70b6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-xml”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙƒ¬×
hEJ£ hFˆubh)”}”(hŒ
r-grimport”h#Œ0.9_7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-grimport-0.9_7-r42hc72bb7e_0.conda”h+Œ 48c82565a17d201cae2ebca88471581e”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-grimport-0.9_7-r42hc72bb7e_0.conda”h0Œ@e997d16a36c51c4ca5a996db957bd0801fea04edadeb85b6c1db1a432770b769”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-xml”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙƒ¹¥¡ËhEJ‹ hFˆubh)”}”(hŒr-groupdata2”h#Œ2.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-groupdata2-2.0.2-r41hc72bb7e_0.conda”h+Œ 5c22dde540ab9c7f5ef7479877021430”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-groupdata2-2.0.2-r41hc72bb7e_0.conda”h0Œ@13c165f9e62dcd23a9b173d328387ac4636fb1c59a92a844a69bd00af7474a77”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate >=2.0.0”Œr-dplyr >=0.8.4”Œr-lifecycle”Œr-numbers >=0.7_5”Œr-plyr >=1.8.5”Œr-purrr”Œr-rearrr >=0.3.0”Œr-rlang >=0.4.4”Œr-tibble >=2.1.3”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæs2<záhEJp» hFˆubh)”}”(hŒr-groupdata2”h#Œ2.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-groupdata2-2.0.2-r42hc72bb7e_0.conda”h+Œ a657571f451928da7c527793c8f7a2a1”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-groupdata2-2.0.2-r42hc72bb7e_0.conda”h0Œ@899f0660f28e060df9fc065971c00be05f592b7226dfbf5768c56536679fb128”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate >=2.0.0”Œr-dplyr >=0.8.4”Œr-lifecycle”Œr-numbers >=0.7_5”Œr-plyr >=1.8.5”Œr-purrr”Œr-rearrr >=0.3.0”Œr-rlang >=0.4.4”Œr-tibble >=2.1.3”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæs):ñªhEJX» hFˆubh)”}”(hŒr-gson”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-gson-0.1.0-r41hc72bb7e_0.conda”h+Œ 90a06f4e51fb365516a1aa9a49dc5326”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-gson-0.1.0-r41hc72bb7e_0.conda”h0Œ@685503e552aeace88d65a176048dfcedf88566df94e584f65e272bc6ae2d7785”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-rlang”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ³óYÛ#hEJy_ hFˆubh)”}”(hŒr-gson”h#Œ0.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-gson-0.1.0-r42hc72bb7e_0.conda”h+Œ ab0057924c10a20e6f91e033c88b4237”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-gson-0.1.0-r42hc72bb7e_0.conda”h0Œ@0a9a54e0582a6be533c5412139137895207e4ed9739b3adbb803303d9ecd3011”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-rlang”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ³ðÁ‰7hEJ²` hFˆubh)”}”(hŒr-gt”h#Œ0.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-gt-0.9.0-r41hc72bb7e_0.conda”h+Œ 7434aa08bab5c364e6ad434f01a49df6”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-gt-0.9.0-r41hc72bb7e_0.conda”h0Œ@8a07e2823d08fcc413bb83b2754edf380df05688d8b27b0b77d9bb48568a71b5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc >=0.1_3”Œr-bigd >=0.2”Œr-bitops >=1.0.7”Œr-cli >=3.6.0”Œr-commonmark >=1.8.1”Œr-dplyr >=1.1.0”Œr-fs >=1.6.1”Œr-glue >=1.6.1”Œr-htmltools >=0.5.4”Œr-juicyjuice >=0.1.0”Œr-magrittr >=2.0.2”Œr-markdown >=1.5”Œr-reactable >=0.4.3”Œr-rlang >=1.0.2”Œr-sass >=0.4.5”Œr-scales >=1.2.1”Œr-tibble >=3.1.8”Œr-tidyselect >=1.2.0”Œr-xml2 >=1.3.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ¼†ù‡hEJl4 hFˆubh)”}”(hŒr-gt”h#Œ0.9.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-gt-0.9.0-r42hc72bb7e_0.conda”h+Œ 9db7a9970ff861975bf69cb665784681”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-gt-0.9.0-r42hc72bb7e_0.conda”h0Œ@3383eea8f9a6a3c725f74724d51ea45f6dc7e6a51d88bb87e7650cf779c242e7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc >=0.1_3”Œr-bigd >=0.2”Œr-bitops >=1.0.7”Œr-cli >=3.6.0”Œr-commonmark >=1.8.1”Œr-dplyr >=1.1.0”Œr-fs >=1.6.1”Œr-glue >=1.6.1”Œr-htmltools >=0.5.4”Œr-juicyjuice >=0.1.0”Œr-magrittr >=2.0.2”Œr-markdown >=1.5”Œr-reactable >=0.4.3”Œr-rlang >=1.0.2”Œr-sass >=0.4.5”Œr-scales >=1.2.1”Œr-tibble >=3.1.8”Œr-tidyselect >=1.2.0”Œr-xml2 >=1.3.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ¼~ÙhEJ	$4 hFˆubh)”}”(hŒr-gt”h#Œ0.9.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-gt-0.9.0-r42hc72bb7e_1.conda”h+Œ 3beea5e9882a7c79498a3851393707f2”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-gt-0.9.0-r42hc72bb7e_1.conda”h0Œ@44ada2e29b64b93d65f50e9590d2193571819f800e82143be2541686ef714521”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc >=0.1_3”Œr-bigd >=0.2”Œr-bitops >=1.0.7”Œr-cli >=3.6.0”Œr-commonmark >=1.8.1”Œr-dplyr >=1.1.0”Œr-fs >=1.6.1”Œr-glue >=1.6.1”Œr-htmltools >=0.5.4”Œr-juicyjuice >=0.1.0”Œr-magrittr >=2.0.2”Œr-markdown >=1.5”Œr-reactable >=0.4.3”Œr-rlang >=1.0.2”Œr-sass >=0.4.5”Œr-scales >=1.2.1”Œr-tibble >=3.1.8”Œr-tidyselect >=1.2.0”Œr-xml2 >=1.3.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ó[•hEJë 4 hFˆubh)”}”(hŒr-gt”h#Œ0.9.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-gt-0.9.0-r43hc72bb7e_1.conda”h+Œ 5ba950b9ff45b79a4daa1eb3dee432d5”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-gt-0.9.0-r43hc72bb7e_1.conda”h0Œ@84abfa573d70147b3c2543b47de5b598269679521979335555e1e95760e53f99”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc >=0.1_3”Œr-bigd >=0.2”Œr-bitops >=1.0.7”Œr-cli >=3.6.0”Œr-commonmark >=1.8.1”Œr-dplyr >=1.1.0”Œr-fs >=1.6.1”Œr-glue >=1.6.1”Œr-htmltools >=0.5.4”Œr-juicyjuice >=0.1.0”Œr-magrittr >=2.0.2”Œr-markdown >=1.5”Œr-reactable >=0.4.3”Œr-rlang >=1.0.2”Œr-sass >=0.4.5”Œr-scales >=1.2.1”Œr-tibble >=3.1.8”Œr-tidyselect >=1.2.0”Œr-xml2 >=1.3.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Óß;hEJ´ò3 hFˆubh)”}”(hŒr-gtable”h#Œ0.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-gtable-0.3.3-r41hc72bb7e_0.conda”h+Œ f18da5771f11c05df08eed41095d56a5”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gtable-0.3.3-r41hc72bb7e_0.conda”h0Œ@e2363cdb040878d54aace828a021d8ec920ac6dd81e7aba65713cbcdfcfbb38f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-glue”Œr-lifecycle”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙt"*\hEJ÷c hFˆubh)”}”(hŒr-gtable”h#Œ0.3.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-gtable-0.3.3-r42hc72bb7e_0.conda”h+Œ 3d7ba7ed44328d61a94837f19780f3c0”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gtable-0.3.3-r42hc72bb7e_0.conda”h0Œ@5a965f2bbefebab2c5d2accc047dfcb3235b9b0166238d19bcad32f56e7047e5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-glue”Œr-lifecycle”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙt"Ý/hEJq` hFˆubh)”}”(hŒr-gtable”h#Œ0.3.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-gtable-0.3.3-r42hc72bb7e_1.conda”h+Œ e5d3080282242379b84cf89301f9f66d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gtable-0.3.3-r42hc72bb7e_1.conda”h0Œ@1f7c48b9d4ae69a4c1b627e9e2008ce91d12663d40ff15bab6a6d1ceebac56e1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-glue”Œr-lifecycle”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"rÆoKÇhEJ*c hFˆubh)”}”(hŒr-gtable”h#Œ0.3.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-gtable-0.3.3-r43hc72bb7e_1.conda”h+Œ fd6234075136aee5b5d5a7da0fa6c326”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gtable-0.3.3-r43hc72bb7e_1.conda”h0Œ@121be845069d601bf52c162754d62a19f7c83cb3cf913839790fa33116868108”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-glue”Œr-lifecycle”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"rËqhshEJãc hFˆubh)”}”(hŒ
r-gtextras”h#Œ0.4.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-gtextras-0.4.5-r41hc72bb7e_0.conda”h+Œ 6d10b228aaeef1ee9bd8bcd5befd8ed9”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gtextras-0.4.5-r41hc72bb7e_0.conda”h0Œ@dc31f5d2bdac89004c846a11ee333739cf376678d2f7c308c260cb161a6fa582”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-commonmark”Œr-dplyr >=1.0.8”Œr-fontawesome >=0.2.2”Œr-ggplot2 >=3.3.5”Œr-glue >=1.6.1”Œ
r-gt >=0.5”Œr-htmltools >=0.5.2”Œr-paletteer >=1.4.0”Œr-rlang >=1.0.1”Œr-scales >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØáÐAÛ#hEJÑì9 hFˆubh)”}”(hŒ
r-gtextras”h#Œ0.4.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-gtextras-0.4.5-r42hc72bb7e_0.conda”h+Œ 99353df6c54f1efdb08cd973ad1cc513”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gtextras-0.4.5-r42hc72bb7e_0.conda”h0Œ@6cac8dd984cc4997b9debad73305f9f2d6fc7e5249768f3d1919f63738ae6d92”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-commonmark”Œr-dplyr >=1.0.8”Œr-fontawesome >=0.2.2”Œr-ggplot2 >=3.3.5”Œr-glue >=1.6.1”Œ
r-gt >=0.5”Œr-htmltools >=0.5.2”Œr-paletteer >=1.4.0”Œr-rlang >=1.0.1”Œr-scales >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØáÛÖffhEJGñ9 hFˆubh)”}”(hŒr-gtsummary”h#Œ1.7.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-gtsummary-1.7.1-r41hc72bb7e_0.conda”h+Œ 15f1e9fdd6b0fcbd8fc5e657bed0b628”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gtsummary-1.7.1-r41hc72bb7e_0.conda”h0Œ@6b23a896c5e4393b80d9075ca63dd03e79a46de7ed4527c4d01410b383db0226”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom >=1.0.1”Œr-broom.helpers >=1.12.0”Œr-cli >=3.1.1”Œr-dplyr >=1.1.1”Œr-forcats >=1.0.0”Œr-glue >=1.6.2”Œr-gt >=0.9.0”Œr-knitr >=1.37”Œr-lifecycle >=1.0.1”Œr-purrr >=0.3.4”Œr-rlang >=1.0.3”Œr-stringr >=1.4.0”Œr-tibble >=3.2.1”Œr-tidyr >=1.1.4”Œr-vctrs >=0.5.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙi!2ÐåhEJcY hFˆubh)”}”(hŒr-gtsummary”h#Œ1.7.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-gtsummary-1.7.1-r42hc72bb7e_0.conda”h+Œ f5546adc113b35816a8da4e176d7db14”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gtsummary-1.7.1-r42hc72bb7e_0.conda”h0Œ@9a288e147b74507782e7bd111ef35b84718086d2a77fdba9a4a3114a986153b4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom >=1.0.1”Œr-broom.helpers >=1.12.0”Œr-cli >=3.1.1”Œr-dplyr >=1.1.1”Œr-forcats >=1.0.0”Œr-glue >=1.6.2”Œr-gt >=0.9.0”Œr-knitr >=1.37”Œr-lifecycle >=1.0.1”Œr-purrr >=0.3.4”Œr-rlang >=1.0.3”Œr-stringr >=1.4.0”Œr-tibble >=3.2.1”Œr-tidyr >=1.1.4”Œr-vctrs >=0.5.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙi,7 hEJæG hFˆubh)”}”(hŒr-gutenbergr”h#Œ0.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-gutenbergr-0.2.3-r41hc72bb7e_0.conda”h+Œ 7697be9263943f51efb91a2ef54ce38d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gutenbergr-0.2.3-r41hc72bb7e_0.conda”h0Œ@9a4d4953c78505046a52acabf6e04ff36557d240add80b2af4eb633cce7fdd84”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-lazyeval”Œr-purrr”Œr-readr”Œ	r-stringr”Œ
r-urltools”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØæpa~È´hEJmeI hFˆubh)”}”(hŒr-gutenbergr”h#Œ0.2.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-gutenbergr-0.2.3-r42hc72bb7e_0.conda”h+Œ d1e761fd558415fd947b46bb19e28884”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gutenbergr-0.2.3-r42hc72bb7e_0.conda”h0Œ@6341ad54c452c632355a2b7b0cd2cfe6d9d9494da0783bf6447f3d1fdbfe00a3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-lazyeval”Œr-purrr”Œr-readr”Œ	r-stringr”Œ
r-urltools”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØæp_wÎÙhEJ^fI hFˆubh)”}”(hŒr-gwidgets2”h#Œ1.0_9”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-gwidgets2-1.0_9-r42hc72bb7e_2.conda”h+Œ 567bd2ce467869cd14e320b8a5735c5e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets2-1.0_9-r42hc72bb7e_2.conda”h0Œ@000c70f43f616be5813c862ea03a8b659b508bbc0af899fd439b857bf42cd542”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#	á¾{hEJÙ hFˆubh)”}”(hŒr-gwidgets2”h#Œ1.0_9”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-gwidgets2-1.0_9-r43hc72bb7e_2.conda”h+Œ 570f8444391cd74bd521cd52da65ecd7”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets2-1.0_9-r43hc72bb7e_2.conda”h0Œ@1934c697432348964ba00b9a2686f5feb7f17a6ca628a0319fec05d314dd5b45”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ#	â¤‹DhEJØ  hFˆubh)”}”(hŒr-h2o”h#Œ3.40.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-h2o-3.40.0.4-r41hc72bb7e_0.conda”h+Œ 9c539bf10d51967bcb43611866c0f397”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-h2o-3.40.0.4-r41hc72bb7e_0.conda”h0Œ@a7dfb85ee2d7f4b2db175bed660f7f5dac7389db0548a0fbf605d37889aae470”h2NhNh3(Œopenjdk”Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-rcurl”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ°QìhEJsš†
hFˆubh)”}”(hŒr-h2o”h#Œ3.40.0.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-h2o-3.40.0.4-r42hc72bb7e_0.conda”h+Œ a39a45a981ef542f4d0f5e2bf4fb6e25”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-h2o-3.40.0.4-r42hc72bb7e_0.conda”h0Œ@84ed22ee74e788f87ad39597dd5ae851890836af01ed725120e15ed16bf406a0”h2NhNh3(Œopenjdk”Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-rcurl”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ£×hEJ£Ÿ†
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r-reshape2”Œr-scales”Œr-seriation”Œ	r-viridis”Œ	r-webshot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØîK
å`hEJm hFˆubh)”}”(hŒr-heatmaply”h#Œ1.4.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-heatmaply-1.4.2-r42hc72bb7e_0.conda”h+Œ ffdbca1e5d689866a9e50b92c7d96950”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-heatmaply-1.4.2-r42hc72bb7e_0.conda”h0Œ@d2e9571e205187c92f15453abf0a2030da22338a724b0f3615a709371fbfe478”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-dendextend >=1.12.0”Œr-egg”Œr-ggplot2 >=2.2.0”Œr-htmlwidgets”Œr-magrittr >=1.0.1”Œr-plotly >=4.7.1”Œr-rcolorbrewer”Œ
r-reshape2”Œr-scales”Œr-seriation”Œ	r-viridis”Œ	r-webshot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØîK)º^hEJù hFˆubh)”}”(hŒr-heatmaply”h#Œ1.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-heatmaply-1.4.2-r42hc72bb7e_1.conda”h+Œ 1db4919f4225ae2c9a52919953b6fa1f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-heatmaply-1.4.2-r42hc72bb7e_1.conda”h0Œ@4d93e06ab11047aec5f56ffa82c34940d7b7937f2de2b4097077752196004439”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-dendextend >=1.12.0”Œr-egg”Œr-ggplot2 >=2.2.0”Œr-htmlwidgets”Œr-magrittr >=1.0.1”Œr-plotly >=4.7.1”Œr-rcolorbrewer”Œ
r-reshape2”Œr-scales”Œr-seriation”Œ	r-viridis”Œ	r-webshot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#	Ã*MÓhEJè hFˆubh)”}”(hŒr-heatmaply”h#Œ1.4.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-heatmaply-1.4.2-r43hc72bb7e_1.conda”h+Œ 257ab57ba47aa5cf4c0b5a3470a94ae2”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-heatmaply-1.4.2-r43hc72bb7e_1.conda”h0Œ@b43e407a99721b0cbf4dd95d242f7a8a017b1fcc7bb5be5eff27e421c19b1898”h2NhNh3(Œr-assertthat”Œr-base >=4.3,<4.4.0a0”Œr-colorspace”Œr-dendextend >=1.12.0”Œr-egg”Œr-ggplot2 >=2.2.0”Œr-htmlwidgets”Œr-magrittr >=1.0.1”Œr-plotly >=4.7.1”Œr-rcolorbrewer”Œ
r-reshape2”Œr-scales”Œr-seriation”Œ	r-viridis”Œ	r-webshot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#	Â^5hEJ6û hFˆubh)”}”(hŒr-here”h#Œ1.0.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-here-1.0.1-r42hc72bb7e_2.conda”h+Œ d507786af64162917926015e993391ef”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-here-1.0.1-r42hc72bb7e_2.conda”h0Œ@30e959ff40ad4dc3392a439977c06d12707e4dbf7366cf923e0c996932f766fa”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rprojroot >=2.0.2”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"„]ÒòhEMûÚhFˆubh)”}”(hŒr-here”h#Œ1.0.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-here-1.0.1-r43hc72bb7e_2.conda”h+Œ 86c1d1a28c8cab933ecba04494e2df5f”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-here-1.0.1-r43hc72bb7e_2.conda”h0Œ@3208f6118dbe0092c23f2922b2a01ea2f0bfc4e2ec1e203fd53ec197fed4e6bc”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-rprojroot >=2.0.2”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"„£Î5?hEMœØhFˆubh)”}”(hŒr-highr”h#Œ0.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-highr-0.10-r41hc72bb7e_0.conda”h+Œ c5680c2ac76bcecf2c4c3d598fdea3a8”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-highr-0.10-r41hc72bb7e_0.conda”h0Œ@898d2bca9e12d0e4bb0e06fb66115ca46190d818d036867d91d3151e58b042fb”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-xfun >=0.18”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØé½ŽéyhEMrßhFˆubh)”}”(hŒr-highr”h#Œ0.10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-highr-0.10-r42hc72bb7e_0.conda”h+Œ f935974d758c6a9e4fa739009b610f15”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-highr-0.10-r42hc72bb7e_0.conda”h0Œ@55c1d020e02dbccb8792cd7332560de76b3cb9c6f13ade63014d206ab24b79a2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-xfun >=0.18”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØéÅë…hEM#ßhFˆubh)”}”(hŒr-highr”h#Œ0.10”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-highr-0.10-r42hc72bb7e_1.conda”h+Œ 5ef308228378d30ab6c0d8af4e98187e”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-highr-0.10-r42hc72bb7e_1.conda”h0Œ@b5ccbc3b39d2274a36dcfb5b27838cd0ddb9d2b0ed27271a67bc7aa23df11c4f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-xfun >=0.18”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"Sõq‡hEMòÞhFˆubh)”}”(hŒr-highr”h#Œ0.10”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-highr-0.10-r43hc72bb7e_1.conda”h+Œ 323965ffc1eb89aab3f39096b3104869”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-highr-0.10-r43hc72bb7e_1.conda”h0Œ@d5214ae94bae2119fd8dcdf3ab18c7df7dd6e7e62969a5ef661e86101c274ca6”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-xfun >=0.18”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"Sÿ33hEMÀàhFˆubh)”}”(hŒr-hms”h#Œ1.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-hms-1.1.3-r41hc72bb7e_0.conda”h+Œ 8a21dea88f1d2a88050c5e005d399b74”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-hms-1.1.3-r41hc72bb7e_0.conda”h0Œ@50d3b6ff5c590682a5546662114f450ce6422024c2cddc94475c9083319c3b94”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-ellipsis”Œr-lifecycle”Œr-pkgconfig”Œr-rlang”Œr-vctrs >=0.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙåR¬hEJ4¡ hFˆubh)”}”(hŒr-hms”h#Œ1.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-hms-1.1.3-r42hc72bb7e_0.conda”h+Œ c5e503dea1658cb10da852c55c1e454b”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-hms-1.1.3-r42hc72bb7e_0.conda”h0Œ@a63130b061bff45401a149f7d7baebdb3437180dd518122ce4510391352ac95c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-ellipsis”Œr-lifecycle”Œr-pkgconfig”Œr-rlang”Œr-vctrs >=0.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙéæ5?hEJú  hFˆubh)”}”(hŒr-hms”h#Œ1.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-hms-1.1.3-r42hc72bb7e_1.conda”h+Œ 18275801a3c5f928d7a7da60470f4cc3”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-hms-1.1.3-r42hc72bb7e_1.conda”h0Œ@063a3257da5f7d25113787e447c5ebccf1150dd7d9252cfb73590c62389d77db”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-ellipsis”Œr-lifecycle”Œr-pkgconfig”Œr-rlang”Œr-vctrs >=0.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"sA8“uhEJ5¡ hFˆubh)”}”(hŒr-hms”h#Œ1.1.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-hms-1.1.3-r43hc72bb7e_1.conda”h+Œ 6f5f6a698ebdd81d5b6f6ec519c5db3b”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-hms-1.1.3-r43hc72bb7e_1.conda”h0Œ@1daba924c23fb570576995885dc868cf3b5e0e3b854ec835c8ceb27b46e13c43”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ
r-ellipsis”Œr-lifecycle”Œr-pkgconfig”Œr-rlang”Œr-vctrs >=0.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"sBñÊÁhEJÅ¢ hFˆubh)”}”(hŒr-hoardr”h#Œ0.5.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-hoardr-0.5.3-r41hc72bb7e_0.conda”h+Œ b0d6de9ed9011cf1692b6c6e41041333”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hoardr-0.5.3-r41hc72bb7e_0.conda”h0Œ@87df0117e2f613c6b0d6cbd98791895cfb864709ff1e806c6e5dec782f5ae688”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-r6 >=2.2.0”Œr-rappdirs >=0.3.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØôÀ{ÚJhEJa9 hFˆubh)”}”(hŒr-hoardr”h#Œ0.5.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-hoardr-0.5.3-r42hc72bb7e_0.conda”h+Œ 334c000169b024618a09956c4df0a4be”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hoardr-0.5.3-r42hc72bb7e_0.conda”h0Œ@8238968ff5aab9a68778d24725c1771a80e79fe8f3928caa22368fe1629014ec”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-r6 >=2.2.0”Œr-rappdirs >=0.3.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØôÀ~_|îhEJb4 hFˆubh)”}”(hŒr-hoardr”h#Œ0.5.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-hoardr-0.5.3-r42hc72bb7e_1.conda”h+Œ 5f8b35172618cad0c64cf37fc2166add”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hoardr-0.5.3-r42hc72bb7e_1.conda”h0Œ@8fe4d7d27dbd72e92ba6c343c74d81b0df257b400351567c2476d6761e2c8878”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-r6 >=2.2.0”Œr-rappdirs >=0.3.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"öë†$ÝhEJÄ9 hFˆubh)”}”(hŒr-hoardr”h#Œ0.5.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-hoardr-0.5.3-r43hc72bb7e_1.conda”h+Œ ac849ac6a9a70857d0c6e294e47c88c7”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hoardr-0.5.3-r43hc72bb7e_1.conda”h0Œ@b10d415fc506a6eafe7a4e11d8e41cdc301e44e19f80d8c14fa36ec09c4bda99”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest”Œr-r6 >=2.2.0”Œr-rappdirs >=0.3.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"öä“hEJÛ; hFˆubh)”}”(hŒr-hostswitch”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-hostswitch-0.1.3-r41hc72bb7e_0.conda”h+Œ d33615040316e8aabf420ab660dcc42c”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hostswitch-0.1.3-r41hc72bb7e_0.conda”h0Œ@6434798854250040f5b2ba3f8b321194d3f41f3e025081c2f76cb14c9d4b1d55”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-plyr”Œr-purrr”Œr-shiny”Œr-tippy”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ(‰ÆvÉhEJÍb hFˆubh)”}”(hŒr-hostswitch”h#Œ0.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-hostswitch-0.1.3-r42hc72bb7e_0.conda”h+Œ b71d3f546fce902289fa18586c9f1671”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hostswitch-0.1.3-r42hc72bb7e_0.conda”h0Œ@c7462886cd72502056db578a76877f944c0491519164c0c5101eaafa9da09207”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-plyr”Œr-purrr”Œr-shiny”Œr-tippy”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ(„rŸ¾hEJ S hFˆubh)”}”(hŒr-hotelling”h#Œ1.0_8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-hotelling-1.0_8-r41hc72bb7e_0.conda”h+Œ c9ebe00842cba0b9aae41c073a974fd4”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-hotelling-1.0_8-r41hc72bb7e_0.conda”h0Œ@c1fb4c2b9cf652cf8656db827e9da9ec88746ef25f7718f7c853e5340d4a6ee3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-corpcor”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØðSn7l‹hEJ#0 hFˆubh)”}”(hŒr-hotelling”h#Œ1.0_8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-hotelling-1.0_8-r42hc72bb7e_0.conda”h+Œ a3fc2372578a2534f5aba27f5ac4b35d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-hotelling-1.0_8-r42hc72bb7e_0.conda”h0Œ@bc93a54c18f4f5e530f0d2a59956535726ff19eedc5af21b9fd244742e79caa3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-corpcor”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØðSoSC–hEJ«0 hFˆubh)”}”(hŒr-hrw”h#Œ1.0_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-hrw-1.0_5-r41hc72bb7e_0.conda”h+Œ b78175cfafd52d6e5435005569bf7575”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-hrw-1.0_5-r41hc72bb7e_0.conda”h0Œ@feeb88f5dfb2161fc76ce2ed64313cd958b98da742057b0223a261d531e8443a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-kernsmooth”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØàˆ(}‘hhEJóÿs hFˆubh)”}”(hŒr-hrw”h#Œ1.0_5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-hrw-1.0_5-r42hc72bb7e_0.conda”h+Œ 3a20eee7bbdcbb0b39b4fbe7ef6bbe32”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-hrw-1.0_5-r42hc72bb7e_0.conda”h0Œ@3061f374060f9908bab0e656d53c48d60bd5eae65b6ebfd85cb875ff85e2083b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-kernsmooth”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØàˆ)¾¸RhEJ[Œs hFˆubh)”}”(hŒr-htmltable”h#Œ2.4.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-htmltable-2.4.1-r42hc72bb7e_2.conda”h+Œ 29f5360a27043eeee9a06907ebdb7077”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-htmltable-2.4.1-r42hc72bb7e_2.conda”h0Œ@9238d8b68a288b0b6a0720653b3321121a7f6faafb2d707200335adde2bb994d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-htmltools”Œr-htmlwidgets”Œr-knitr >=1.6”Œr-magrittr >=1.5”Œr-rstudioapi >=0.6”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"´&hEJ10 hFˆubh)”}”(hŒr-htmltable”h#Œ2.4.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-htmltable-2.4.1-r43hc72bb7e_2.conda”h+Œ 5d6835c9d6f257f38de42698d2efb252”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-htmltable-2.4.1-r43hc72bb7e_2.conda”h0Œ@f888133d018ba41225bfdefff4eacbfbc7c9360f395d3d4c92196c8cd3cf79f3”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-checkmate”Œr-htmltools”Œr-htmlwidgets”Œr-knitr >=1.6”Œr-magrittr >=1.5”Œr-rstudioapi >=0.6”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"´ˆ ÅhEJ0 hFˆubh)”}”(hŒr-htmlwidgets”h#Œ1.6.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-htmlwidgets-1.6.2-r41hc72bb7e_0.conda”h+Œ e3a8d4abaaef7667dc98eb765193fd69”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-htmlwidgets-1.6.2-r41hc72bb7e_0.conda”h0Œ@24862ae188cc9dcda07a3d3a6c5340e4ba2b6192e0ac42955c3d5666932219f9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.5.4”Œr-jsonlite >=0.9.16”Œr-knitr >=1.8”Œr-rmarkdown”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ4@*MÓhEJt hFˆubh)”}”(hŒr-htmlwidgets”h#Œ1.6.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-htmlwidgets-1.6.2-r42hc72bb7e_0.conda”h+Œ ccb9d34ad9708830b5721e590f582d4a”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-htmlwidgets-1.6.2-r42hc72bb7e_0.conda”h0Œ@843ee1ac04fea857330c512de5d529bfd94d916c56d3763a1dc732ccfa6177b2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.5.4”Œr-jsonlite >=0.9.16”Œr-knitr >=1.8”Œr-rmarkdown”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ4N/KÇhEJox hFˆubh)”}”(hŒr-htmlwidgets”h#Œ1.6.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-htmlwidgets-1.6.2-r42hc72bb7e_1.conda”h+Œ 64f457c9790d9c4cb8669489d02c58eb”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-htmlwidgets-1.6.2-r42hc72bb7e_1.conda”h0Œ@19ce33e638160977265722b3aa1ff7edea74349cf5313b9e0f71c716eea95556”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.5.4”Œr-jsonlite >=0.9.16”Œr-knitr >=1.8”Œr-rmarkdown”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤Ò\hEJqv hFˆubh)”}”(hŒr-htmlwidgets”h#Œ1.6.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-htmlwidgets-1.6.2-r43hc72bb7e_1.conda”h+Œ f67c5e97b9813bafe8689859ee3000a2”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-htmlwidgets-1.6.2-r43hc72bb7e_1.conda”h0Œ@f4d1c8082e3aa9a65cc2351a99cc21c7b99c5c4f32bf99a22614c36d58ba231f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-htmltools >=0.5.4”Œr-jsonlite >=0.9.16”Œr-knitr >=1.8”Œr-rmarkdown”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤ÃØ1'hEJQu hFˆubh)”}”(hŒr-httr”h#Œ1.4.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-httr-1.4.6-r41hc72bb7e_0.conda”h+Œ 53dbb769c96782db54bf2d414fc9b239”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-httr-1.4.6-r41hc72bb7e_0.conda”h0Œ@e83461003b2cf9864ee7f5f39bb367dac2ab8bf41121aeca5efa69679ac7a5a0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl >=0.9.1”Œ
r-jsonlite”Œr-mime”Œr-openssl >=0.8”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙLt­ÂhEJüp hFˆubh)”}”(hŒr-httr”h#Œ1.4.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-httr-1.4.6-r42hc72bb7e_0.conda”h+Œ 2f878e15055c4a19f12ac4db97cf551c”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-httr-1.4.6-r42hc72bb7e_0.conda”h0Œ@6679d67ebd615a8f80b9b8d7ec3087741d64723cb3d472f74df7326e160d75d8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=0.9.1”Œ
r-jsonlite”Œr-mime”Œr-openssl >=0.8”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙLs¡Û#hEJ{o hFˆubh)”}”(hŒr-httr”h#Œ1.4.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-httr-1.4.6-r42hc72bb7e_1.conda”h+Œ e58e9f7048d2c29215d357cfbc9afa57”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-httr-1.4.6-r42hc72bb7e_1.conda”h0Œ@1d71f5d579b121364e46a7b3152d779d2fa5be12c0919958acf364be68f6a8ab”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=0.9.1”Œ
r-jsonlite”Œr-mime”Œr-openssl >=0.8”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"«y’\hEJ¡m hFˆubh)”}”(hŒr-httr”h#Œ1.4.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-httr-1.4.6-r43hc72bb7e_1.conda”h+Œ 1622bb3193f2ad47aba2a89b8204adb7”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-httr-1.4.6-r43hc72bb7e_1.conda”h0Œ@efaa2d3722fa6022153f79a452cf2f4a0ba2d75646608cecec856e14135e2b37”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-curl >=0.9.1”Œ
r-jsonlite”Œr-mime”Œr-openssl >=0.8”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"«{‡®hEJØ] hFˆubh)”}”(hŒr-httr2”h#Œ0.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-httr2-0.2.3-r41hc72bb7e_0.conda”h+Œ 1fb8c6ea016e42ba0a27135bb429ca44”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-httr2-0.2.3-r41hc72bb7e_0.conda”h0Œ@f019a0b757b1c120b39ce4dc676576b143e79c460a83cbefbecce24dd91449c9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.0.0”Œr-curl”Œr-glue”Œ
r-magrittr”Œ	r-openssl”Œr-r6”Œ
r-rappdirs”Œr-rlang >=1.0.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ[^4ýôhEJ£Þ hFˆubh)”}”(hŒr-httr2”h#Œ0.2.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-httr2-0.2.3-r42hc72bb7e_0.conda”h+Œ a06ef9071b065219b680995611afe373”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-httr2-0.2.3-r42hc72bb7e_0.conda”h0Œ@cf7de046ff4e0c70ef8a58340a3aad6da611a57def508997ff7d7c7a9e60aeea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.0.0”Œr-curl”Œr-glue”Œ
r-magrittr”Œ	r-openssl”Œr-r6”Œ
r-rappdirs”Œr-rlang >=1.0.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ[F†$ÝhEJÚâ hFˆubh)”}”(hŒr-httr2”h#Œ0.2.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-httr2-0.2.3-r42hc72bb7e_1.conda”h+Œ b5eb2cf5af14804233cbe583ba3b4d6c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-httr2-0.2.3-r42hc72bb7e_1.conda”h0Œ@731d080d1ce430528efa7f15db86998d2e2a08e70b8c000bcaadaa47839203e3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.0.0”Œr-curl”Œr-glue”Œ
r-magrittr”Œ	r-openssl”Œr-r6”Œ
r-rappdirs”Œr-rlang >=1.0.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"«¬.ffhEJå hFˆubh)”}”(hŒr-httr2”h#Œ0.2.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-httr2-0.2.3-r43hc72bb7e_1.conda”h+Œ 85cf5346008324269b9cf67ee2b3b1e0”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-httr2-0.2.3-r43hc72bb7e_1.conda”h0Œ@586435ec58857a38291316a6b1a59ba833b5149dc207b024b4eb63cc1cc6a0b3”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli >=3.0.0”Œr-curl”Œr-glue”Œ
r-magrittr”Œ	r-openssl”Œr-r6”Œ
r-rappdirs”Œr-rlang >=1.0.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"«·Ð ÅhEJëÜ hFˆubh)”}”(hŒ
r-huxtable”h#Œ5.5.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-huxtable-5.5.2-r41hc72bb7e_0.conda”h+Œ e58e33c0558e30c3f24d0963bf6d94f3”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-huxtable-5.5.2-r41hc72bb7e_0.conda”h0Œ@fad6d97b90ddd8530596cdca03e4687aafd50e1378cab885326c343b585dc5b8”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-commonmark”Œr-fansi”Œ
r-generics”Œr-glue”Œr-htmltools”Œ	r-memoise”Œr-r6”Œr-rlang”Œ	r-stringi”Œr-stringr >=1.2.0”Œr-tidyselect”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØç.ÖZ°!hEJ%Ó hFˆubh)”}”(hŒ
r-huxtable”h#Œ5.5.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-huxtable-5.5.2-r42hc72bb7e_0.conda”h+Œ 0dfc4553ab30b99aa57fbf9de3e5ec7d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-huxtable-5.5.2-r42hc72bb7e_0.conda”h0Œ@5a0f19474e6a034b1e61a4c9939730a1216cb9498bc4adfdc23ee02486d6b706”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-commonmark”Œr-fansi”Œ
r-generics”Œr-glue”Œr-htmltools”Œ	r-memoise”Œr-r6”Œr-rlang”Œ	r-stringi”Œr-stringr >=1.2.0”Œr-tidyselect”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØç.Õ…²-hEJ‡× hFˆubh)”}”(hŒ
r-hypergeo”h#Œ1.2_13”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ(r-hypergeo-1.2_13-r42hc72bb7e_1004.conda”h+Œ 7a207a992c606168044d13dcffd80ad4”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hypergeo-1.2_13-r42hc72bb7e_1004.conda”h0Œ@398bd2e30d358c12750362620053c9d1ec141e9d8ec0b049c7d1a1efe448b02a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-contfrac >=1.1_9”Œ	r-desolve”Œr-elliptic >=1.3_5”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"´ëbhEJ¥Š hFˆubh)”}”(hŒ
r-hypergeo”h#Œ1.2_13”h%Œr43hc72bb7e_1004”h'Mìhhh(h)hŒ(r-hypergeo-1.2_13-r43hc72bb7e_1004.conda”h+Œ 960f0770e69b4d8e154e9b751763b672”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hypergeo-1.2_13-r43hc72bb7e_1004.conda”h0Œ@13a5eecec2652a76ea95f509abcac0598f34af7fc9fa0fb4e5ecf08d694eff94”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-contfrac >=1.1_9”Œ	r-desolve”Œr-elliptic >=1.3_5”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"´ñráHhEJ‰ hFˆubh)”}”(hŒr-hypetools”h#Œ1.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-hypetools-1.4.0-r41hc72bb7e_0.conda”h+Œ fd3d5d1d05a95becdd434e9fd772e08c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-hypetools-1.4.0-r41hc72bb7e_0.conda”h0Œ@d99333b887fbb24925fbc89c2bd32bdff86a777a99548726a68ca085b85981a3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clipr”Œr-data.table >=1.9.8”Œr-dplyr”Œ	r-ggplot2”Œr-ggpubr”Œ	r-ggrepel”Œr-ggspatial”Œ
r-hydrogof”Œr-ncdf4”Œr-patchwork”Œ	r-pbapply”Œr-purrr”Œr-rlang”Œr-sf”Œ	r-stringr”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙF÷3t¼hEJÇð hFˆubh)”}”(hŒr-hypetools”h#Œ1.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-hypetools-1.4.0-r42hc72bb7e_0.conda”h+Œ 23f39a911ba2fc7483112104eacf17af”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-hypetools-1.4.0-r42hc72bb7e_0.conda”h0Œ@3a0dfa7d24ef2bbd6c21ded8e2fe23304f4540768ab0a2287c855c5ecd708ae2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-clipr”Œr-data.table >=1.9.8”Œr-dplyr”Œ	r-ggplot2”Œr-ggpubr”Œ	r-ggrepel”Œr-ggspatial”Œ
r-hydrogof”Œr-ncdf4”Œr-patchwork”Œ	r-pbapply”Œr-purrr”Œr-rlang”Œr-sf”Œ	r-stringr”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙF÷ç®hEJ2ä hFˆubh)”}”(hŒr-ica”h#Œ1.0_3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-ica-1.0_3-r42hc72bb7e_2.conda”h+Œ bd9baaa6c0bc71d5c17003fe277f6d6f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ica-1.0_3-r42hc72bb7e_2.conda”h0Œ@098c5adb29808fe9553a46834bbc71080bb8896d3b021f32053751e399b2b30e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æœJÀƒhEJ£‚ hFˆubh)”}”(hŒr-ica”h#Œ1.0_3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-ica-1.0_3-r43hc72bb7e_2.conda”h+Œ 880003e7cc4021c5a731cadc3d41f474”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ica-1.0_3-r43hc72bb7e_2.conda”h0Œ@466e373e097603fc0cbf4a444877499e454d05b972f1ba09c9d8fdea948a94be”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æœ+"ÑhEJ„ hFˆubh)”}”(hŒr-icarus”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-icarus-0.3.2-r41hc72bb7e_0.conda”h+Œ 1f9c1e112e6ac1a043c559958deae8b3”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-icarus-0.3.2-r41hc72bb7e_0.conda”h0Œ@cf5b5817377a2679ad1137f3a33f9d953fc1ed799658f8d6ef209ab0044beaff”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙe'KÇhEJÇ= hFˆubh)”}”(hŒr-icarus”h#Œ0.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-icarus-0.3.2-r42hc72bb7e_0.conda”h+Œ 4b2b3212ad48ee8db7a1888cb33ad773”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-icarus-0.3.2-r42hc72bb7e_0.conda”h0Œ@57148ac710e4e2b4cf345360012c903c854dceebf18d4d228e02bc9e06aa9a52”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙe
Ep¤hEJ˜= hFˆubh)”}”(hŒr-ics”h#Œ1.3_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-ics-1.3_2-r41hc72bb7e_0.conda”h+Œ 787c0633025aa937e7aad322024d55fc”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ics-1.3_2-r41hc72bb7e_0.conda”h0Œ@06a86d27d35696c073468565b33e21b31a99263933637f93e9c8d4a8cee6f829”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-mvtnorm”Œr-survey”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙxVfÈ´hEJAû hFˆubh)”}”(hŒr-ics”h#Œ1.3_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-ics-1.3_2-r42hc72bb7e_0.conda”h+Œ 64afc9e789138edff16acafa6962008b”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ics-1.3_2-r42hc72bb7e_0.conda”h0Œ@e49f65ee7b1d9e6dbd11f295d0ad45eb4e2c74202b97d81ebd4df77024ea79a0”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-mvtnorm”Œr-survey”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙxHŸ;dhEJþõ hFˆubh)”}”(hŒr-ids”h#Œ1.0.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒr-ids-1.0.1-r42hc72bb7e_3.conda”h+Œ a021d5cfe8a8478c73bcfcbf633cebb3”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ids-1.0.1-r42hc72bb7e_3.conda”h0Œ@3f06fb85efd4820c8ac1b2988ada596d4d067b8e4229892a35e032880313da6b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-openssl”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Æ`xr°hEJñ hFˆubh)”}”(hŒr-ids”h#Œ1.0.1”h%Œr43hc72bb7e_3”h'Khhh(h)hŒr-ids-1.0.1-r43hc72bb7e_3.conda”h+Œ 9f46f0fd2b5f28f4adc8cbc88cafd847”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ids-1.0.1-r43hc72bb7e_3.conda”h0Œ@a952f9ed15274c980642bda4b06e79bb6576300b2cb0b86126a0568e23dd8e7c”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-openssl”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÆaÄzáhEJ†ï hFˆubh)”}”(hŒr-infer”h#Œ1.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-infer-1.0.4-r41hc72bb7e_0.conda”h+Œ ae1fda6bb330a705522dfb3b227a96fc”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-infer-1.0.4-r41hc72bb7e_0.conda”h0Œ@c3b238943c814faae02ceaa6368d8e6e363437f0c6f0844aa681e8690d7854cc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr >=0.7.0”Œ
r-generics”Œ	r-ggplot2”Œr-glue >=1.3.0”Œ
r-magrittr”Œr-patchwork”Œr-purrr”Œr-rlang >=0.2.0”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒCC”hDGAØâe#báHhEJ¬* hFˆubh)”}”(hŒr-infer”h#Œ1.0.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-infer-1.0.4-r42hc72bb7e_0.conda”h+Œ 84a024cb30cc94e4cc2f142f763b88fc”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-infer-1.0.4-r42hc72bb7e_0.conda”h0Œ@3c2327226c0f2d1a802141acb9e7d1439905feae88c77d9caac8aad17e95a79c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr >=0.7.0”Œ
r-generics”Œ	r-ggplot2”Œr-glue >=1.3.0”Œ
r-magrittr”Œr-patchwork”Œr-purrr”Œr-rlang >=0.2.0”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒCC”hDGAØâeQhshEJø3 hFˆubh)”}”(hŒr-infer”h#Œ1.0.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-infer-1.0.4-r42hc72bb7e_1.conda”h+Œ 1222f0e14b85d48aa4ad03567423a55e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-infer-1.0.4-r42hc72bb7e_1.conda”h0Œ@175de5be234efd4bed180421d2cd216e15b79fe7ceafe0f1024d5a3d9090d037”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr >=0.7.0”Œ
r-generics”Œ	r-ggplot2”Œr-glue >=1.3.0”Œ
r-magrittr”Œr-patchwork”Œr-purrr”Œr-rlang >=0.2.0”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒCC”hDGAÙ"òhJáHhEJ&J hFˆubh)”}”(hŒr-infer”h#Œ1.0.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-infer-1.0.4-r43hc72bb7e_1.conda”h+Œ ac9dcdf67822a2612b258e857f6df519”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-infer-1.0.4-r43hc72bb7e_1.conda”h0Œ@b2a14aef40837bb13b423edd06dcb216ef73df3e8c073f3c5e22aae945ebddd1”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-broom”Œr-dplyr >=0.7.0”Œ
r-generics”Œ	r-ggplot2”Œr-glue >=1.3.0”Œ
r-magrittr”Œr-patchwork”Œr-purrr”Œr-rlang >=0.2.0”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒCC”hDGAÙ"ò{“÷ÏhEJý? hFˆubh)”}”(hŒr-ingredients”h#Œ2.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-ingredients-2.3.0-r41hc72bb7e_0.conda”h+Œ 0006b5c8dd188f742ca83973dca7a510”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ingredients-2.3.0-r41hc72bb7e_0.conda”h0Œ@94671b91311f4ef33253f0a30776304b942d9b90b1e884c450fdc23bc5a06bac”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-scales”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØñó¸QìhEJÒD$ hFˆubh)”}”(hŒr-ingredients”h#Œ2.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-ingredients-2.3.0-r42hc72bb7e_0.conda”h+Œ aad9807eac49f61f3964f145abcf4198”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ingredients-2.3.0-r42hc72bb7e_0.conda”h0Œ@6cff88d65a2b8cacc1e15d658944fa696ea7a0bc119b4e677c68c4a54020fc29”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-scales”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØñÿ4ýôhEJŒ8$ hFˆubh)”}”(hŒr-ini”h#Œ0.3.1”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ"r-ini-0.3.1-r42hc72bb7e_1005.conda”h+Œ 0c690611e82ed3b5ad158fda9ddfd342”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ini-0.3.1-r42hc72bb7e_1005.conda”h0Œ@95ee3b6cf96e0662633fdc27db3421f46665ee08da59f53e9b5108e0d7fa06de”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"„W#hEMa€hFˆubh)”}”(hŒr-ini”h#Œ0.3.1”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ"r-ini-0.3.1-r43hc72bb7e_1005.conda”h+Œ dd843771f5d6382f9aeac115836a5802”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ini-0.3.1-r43hc72bb7e_1005.conda”h0Œ@45b426274f5d456048769f5092d024be2c5083eb4ea3161f4928e76cd67cf8d6”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"„a˜ ÅhEMÞ€hFˆubh)”}”(hŒ	r-inlabru”h#Œ2.7.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-inlabru-2.7.0-r41hc72bb7e_0.conda”h+Œ ae7b9ff6e66c3a578f6e61ad63a31458”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-inlabru-2.7.0-r41hc72bb7e_0.conda”h0Œ@9e827b5e2b0d09499df47ecaca76e2d3de4f58ba45ffc6ab313ad55dc2cc5777”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œr-matrix”Œr-matrixmodels”Œr-patchwork”Œr-plyr”Œr-rgdal >=1.5.8”Œr-rgeos”Œr-rlang”Œr-sf”Œr-sp >=1.4_5”Œr-withr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØâ{?+hEJº' hFˆubh)”}”(hŒ	r-inlabru”h#Œ2.7.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-inlabru-2.7.0-r42hc72bb7e_0.conda”h+Œ 38f3ac05cdbd6ed44eb3b865d98388f7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-inlabru-2.7.0-r42hc72bb7e_0.conda”h0Œ@8e62371e223c69e70b6fe85daceb459e6853bc057b8ce9c53c8f9c0ea9beaa0f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-magrittr”Œr-matrix”Œr-matrixmodels”Œr-patchwork”Œr-plyr”Œr-rgdal >=1.5.8”Œr-rgeos”Œr-rlang”Œr-sf”Œr-sp >=1.4_5”Œr-withr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØâ{#µÒòhEJF”' hFˆubh)”}”(hŒr-inline”h#Œ0.3.19”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-inline-0.3.19-r42hc72bb7e_2.conda”h+Œ 12790e49ca49df65eb13e86f42d2fb09”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-inline-0.3.19-r42hc72bb7e_2.conda”h0Œ@4194d31cd083d03cca33b92bdbefaf6efe0826609fa5412c76860b9ccc995dc9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAÙ"ø/
=hEJ` hFˆubh)”}”(hŒr-inline”h#Œ0.3.19”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-inline-0.3.19-r43hc72bb7e_2.conda”h+Œ 7a7a90c828d6100b19d940a13db0d20d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-inline-0.3.19-r43hc72bb7e_2.conda”h0Œ@413505091a1bbfb84d4d03a933470acf2cc2ff5fa8e4a7669ca2cb48be19568f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAÙ"÷ÆéyhEJy hFˆubh)”}”(hŒ	r-insight”h#Œ0.19.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-insight-0.19.2-r41hc72bb7e_0.conda”h+Œ 39c8d8226a54c95ea0b4fd280bb4adb5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-insight-0.19.2-r41hc72bb7e_0.conda”h0Œ@e20904871a35ecacdb0f4fe88129be00b90b19430ee813dac30cb602b32eff72”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙAxcçmhEJŽ hFˆubh)”}”(hŒ	r-insight”h#Œ0.19.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-insight-0.19.2-r42hc72bb7e_0.conda”h+Œ 392226efa9e976bdd54b16dd3ca2ebfd”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-insight-0.19.2-r42hc72bb7e_0.conda”h0Œ@2a2f5d73d0ccfcc60ac0a709ffac2f97ed9ad2616d09d3ee2a9178371fd8b7da”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙAþ{hEJ& hFˆubh)”}”(hŒ	r-insight”h#Œ0.19.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-insight-0.19.2-r42hc72bb7e_1.conda”h+Œ 064295135e7d1b70dcc79c5bb225e3bc”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-insight-0.19.2-r42hc72bb7e_1.conda”h0Œ@6082f65a756fc185b1311000778202df316138f6a98ea6f7a507337b86e817ec”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Š¸0ÄœhEJ' hFˆubh)”}”(hŒ	r-insight”h#Œ0.19.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-insight-0.19.2-r43hc72bb7e_1.conda”h+Œ 11ad7fb9c2f869c11e1bd518f136e81a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-insight-0.19.2-r43hc72bb7e_1.conda”h0Œ@426b11f86b5bbffe7202b669eadff9fc65eef7035482f6562ab4d457dccf4744”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Š¶p¤hEJ' hFˆubh)”}”(hŒ
r-installr”h#Œ0.23.4”h%Œr41h785f33e_0”h'K hhh(h)hŒ%r-installr-0.23.4-r41h785f33e_0.conda”h+Œ 32273b70325ccbc17659ad8ac160ae61”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-installr-0.23.4-r41h785f33e_0.conda”h0Œ@0263426a92bbfd1684146c70663a14558eb15b4e631d436101663a2ae9f75ebd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-stringr”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØàÛÊðbNhEJQ hFˆubh)”}”(hŒ
r-installr”h#Œ0.23.4”h%Œr42h785f33e_0”h'K hhh(h)hŒ%r-installr-0.23.4-r42h785f33e_0.conda”h+Œ 3f444777bd8d0c25be9cdb83f6f4a475”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-installr-0.23.4-r42h785f33e_0.conda”h0Œ@f3d5803cf8ec3bb0a404786cff2274c3218bf0d1bcfbff3adc911c2ce7090d7b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-stringr”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØàÛÌót¼hEJŠS hFˆubh)”}”(hŒ	r-intamap”h#Œ1.5_6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-intamap-1.5_6-r41hc72bb7e_0.conda”h+Œ 2c8a44fed9f1fe0a33482b8db86ce246”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-intamap-1.5_6-r41hc72bb7e_0.conda”h0Œ@45405b10c7de049f736518ae1d18fdea98a5e890039774cc755a02afa7084ae6”h2NhNh3(Œ	r-automap”Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œr-evd”Œ	r-foreach”Œr-gstat >=0.9_36”Œr-mass”Œr-mba”Œ	r-mvtnorm”Œr-rgdal”Œr-sp >=0.9_0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ'6ffhEJ… hFˆubh)”}”(hŒ	r-intamap”h#Œ1.5_6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-intamap-1.5_6-r42hc72bb7e_0.conda”h+Œ 8921f0d031ddd94d2ad24f12f80e9e4a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-intamap-1.5_6-r42hc72bb7e_0.conda”h0Œ@9feeea53e3424cab3aa99f308a9eabc4655084f318b1f987566021db9989e2ee”h2NhNh3(Œ	r-automap”Œr-base >=4.2,<4.3.0a0”Œr-doparallel”Œr-evd”Œ	r-foreach”Œr-gstat >=0.9_36”Œr-mass”Œr-mba”Œ	r-mvtnorm”Œr-rgdal”Œr-sp >=0.9_0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ',ê^5hEJ… hFˆubh)”}”(hŒr-inum”h#Œ1.0_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-inum-1.0_5-r41hc72bb7e_0.conda”h+Œ 7db6925cd2bb62166392a7f9f18bb14e”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-inum-1.0_5-r41hc72bb7e_0.conda”h0Œ@117511659c16850e7543f92f9dafb073ac033da5a9e19a307554699dddda505f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-libcoin >=1.0_0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ}M÷
=hEMxÉhFˆubh)”}”(hŒr-inum”h#Œ1.0_5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-inum-1.0_5-r42hc72bb7e_0.conda”h+Œ fe51c428bd278a262a6746598c5e4ac1”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-inum-1.0_5-r42hc72bb7e_0.conda”h0Œ@b4b77f7a9bc4b8ecfbefee5e33052603875ada1ed92fa9dddf7d70b022137e0b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-libcoin >=1.0_0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ}Lm²-hEM6ÊhFˆubh)”}”(hŒr-inum”h#Œ1.0_5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-inum-1.0_5-r42hc72bb7e_1.conda”h+Œ 358209abfe79eaf9d16a35a0cf62b522”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-inum-1.0_5-r42hc72bb7e_1.conda”h0Œ@14ffe0dbe3a592835d2272c045919665174b2bc967a6d6847b8e63843d61407f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-libcoin >=1.0_0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¬]o¾whEMçÊhFˆubh)”}”(hŒr-inum”h#Œ1.0_5”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-inum-1.0_5-r43hc72bb7e_1.conda”h+Œ adcd30d5e5b41c97d2a1b321754398b4”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-inum-1.0_5-r43hc72bb7e_1.conda”h0Œ@58a079dfaa35470421e3b409fc6c2c902aee8c0d64c32f26a5b82f039d9558ab”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-libcoin >=1.0_0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¬\ŒZhEM˜ÈhFˆubh)”}”(hŒr-ipmisc”h#Œ6.0.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-ipmisc-6.0.2-r42hc72bb7e_2.conda”h+Œ f7fc00d57c431bf2485af6717cc96af1”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ipmisc-6.0.2-r42hc72bb7e_2.conda”h0Œ@ed1ee282c50370b876a38d6789ec7fc595a99d53f7cafb874204b2d02cd8b0e0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-dplyr”Œ	r-forcats”Œr-rlang”Œr-rstudioapi”Œr-tibble”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"æÆ»ohEM¾ÍhFˆubh)”}”(hŒr-ipmisc”h#Œ6.0.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-ipmisc-6.0.2-r43hc72bb7e_2.conda”h+Œ 69eaa532cf9285203d8eb0ea19648176”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ipmisc-6.0.2-r43hc72bb7e_2.conda”h0Œ@7fadcf45850cb415f0df1653e55adf3c0f9e7d359843447988f53caa8c383b87”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crayon”Œr-dplyr”Œ	r-forcats”Œr-rlang”Œr-rstudioapi”Œr-tibble”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"æÈA™šhEMÎhFˆubh)”}”(hŒr-irdisplay”h#Œ1.1”h%Œr42hd8ed1ab_2”h'Khhh(h)hŒ#r-irdisplay-1.1-r42hd8ed1ab_2.conda”h+Œ 6e87ec0e73f515c8890ec4784d9a9246”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-irdisplay-1.1-r42hd8ed1ab_2.conda”h0Œ@768a5e6c3cc92e4a50e46d36679b8ffc4c2c37ea40fbb28611d6f2eb4acad516”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-repr”†”h9hºh@ŒMIT”hDGAÙ"û­äÌÍhEMa—hFˆubh)”}”(hŒr-irdisplay”h#Œ1.1”h%Œr43hd8ed1ab_2”h'Khhh(h)hŒ#r-irdisplay-1.1-r43hd8ed1ab_2.conda”h+Œ 034f034b46d37799cb217e283f60b549”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-irdisplay-1.1-r43hd8ed1ab_2.conda”h0Œ@fb1dc94c5f2231bb4eb54be424d3ba53c1e4fdb630ec4d5dfba490430ff405c6”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-repr”†”h9hºh@ŒMIT”hDGAÙ"û¥E¢hEM;—hFˆubh)”}”(hŒ
r-irkernel”h#Œ1.3.2”h%Œr41h785f33e_0”h'K hhh(h)hŒ$r-irkernel-1.3.2-r41h785f33e_0.conda”h+Œ e3dd3f9e3235e65f1b148262742f2cc1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-irkernel-1.3.2-r41h785f33e_0.conda”h0Œ@f3b459fd601ee17484c404b15aa974a627599fd1806951ed78190dec57849b11”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-digest”Œr-evaluate >=0.10”Œr-irdisplay >=0.3.0.9999”Œr-jsonlite >=0.9.6”Œr-pbdzmq >=0.2_1”Œr-repr >=0.4.99”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAØòØ›b¬hEJu hFˆubh)”}”(hŒ
r-irkernel”h#Œ1.3.2”h%Œr42h785f33e_0”h'K hhh(h)hŒ$r-irkernel-1.3.2-r42h785f33e_0.conda”h+Œ ed8a4db5cfbbcec9e9a83f944383b310”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-irkernel-1.3.2-r42h785f33e_0.conda”h0Œ@504d937330880bddaabb4a2f5e66bf51522b2fa7679a66532827f24abc1ded75”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-digest”Œr-evaluate >=0.10”Œr-irdisplay >=0.3.0.9999”Œr-jsonlite >=0.9.6”Œr-pbdzmq >=0.2_1”Œr-repr >=0.4.99”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAØòØšÊ°!hEJ‡ hFˆubh)”}”(hŒ
r-irkernel”h#Œ1.3.2”h%Œr42h785f33e_1”h'Khhh(h)hŒ$r-irkernel-1.3.2-r42h785f33e_1.conda”h+Œ 41037555dc8a544d62fe9a038a15a59b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-irkernel-1.3.2-r42h785f33e_1.conda”h0Œ@62355f12aeb8c8247a82b9931019e0d01c9256847425536777b13d71a8505997”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-digest”Œr-evaluate >=0.10”Œr-irdisplay >=0.3.0.9999”Œr-jsonlite >=0.9.6”Œr-pbdzmq >=0.2_1”Œr-repr >=0.4.99”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#h@  hEJˆ hFˆubh)”}”(hŒ
r-irkernel”h#Œ1.3.2”h%Œr43h785f33e_1”h'Khhh(h)hŒ$r-irkernel-1.3.2-r43h785f33e_1.conda”h+Œ b8dd3a63e5e4b97226b448dbad699d64”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-irkernel-1.3.2-r43h785f33e_1.conda”h0Œ@0798fafac6e16f105cf65dab82a74c339106d820f08ff48b17bbec7ee7f06260”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crayon”Œr-digest”Œr-evaluate >=0.10”Œr-irdisplay >=0.3.0.9999”Œr-jsonlite >=0.9.6”Œr-pbdzmq >=0.2_1”Œr-repr >=0.4.99”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#t
JhEJµ™ hFˆubh)”}”(hŒ
r-isingfit”h#Œ0.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-isingfit-0.3.1-r42hc72bb7e_2.conda”h+Œ b85bf7b318ca5dabc1b1b48859d14aad”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-isingfit-0.3.1-r42hc72bb7e_2.conda”h0Œ@b2a287ff01aa208f8867551f2b29813595837145800bc8876b3d93bd94fb4048”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-glmnet”Œr-matrix”Œr-qgraph”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"æ–ˆ´9hEM\°hFˆubh)”}”(hŒ
r-isingfit”h#Œ0.3.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-isingfit-0.3.1-r43hc72bb7e_2.conda”h+Œ 954103bb81b7139a088c27881bff12af”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-isingfit-0.3.1-r43hc72bb7e_2.conda”h0Œ@3188692ca76a92a14deda67b022de2e6215360c11920dcf498a987bc481c2efc”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-glmnet”Œr-matrix”Œr-qgraph”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"æžôzáhEM¥°hFˆubh)”}”(hŒr-islr2”h#Œ1.3_2”h%Œr41h785f33e_0”h'K hhh(h)hŒ!r-islr2-1.3_2-r41h785f33e_0.conda”h+Œ 182fc73f7904efc73cae22d569b3af55”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-islr2-1.3_2-r41h785f33e_0.conda”h0Œ@ea54638c47b5dc9c39bfc91cff2c2c9f764a13832fb20051fda5bc5c31f3b151”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØÞlSH1'hEJ¾f? hFˆubh)”}”(hŒr-islr2”h#Œ1.3_2”h%Œr42h785f33e_0”h'K hhh(h)hŒ!r-islr2-1.3_2-r42h785f33e_0.conda”h+Œ 8ecfa3f380af9bcd0bfdf0248e4198a8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-islr2-1.3_2-r42h785f33e_0.conda”h0Œ@e6aac47b273ca72410f7905309b8dd43c17d46391275e9f91e55e7662bd24aee”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØÞlFG\)hEJÛf? hFˆubh)”}”(hŒ
r-isocodes”h#Œ
2022.09.29”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-isocodes-2022.09.29-r42hc72bb7e_2.conda”h+Œ 40c5193e60aeac6eaf68f547ecf48416”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-isocodes-2022.09.29-r42hc72bb7e_2.conda”h0Œ@660edca8caf0bce56ba2cc32bdcc6016a24d694c2c425f186bd0fd8077b59842”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"µ8žÙhEJ÷ñ hFˆubh)”}”(hŒ
r-isocodes”h#Œ
2022.09.29”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ)r-isocodes-2022.09.29-r43hc72bb7e_2.conda”h+Œ 3cb22379c4f01cf93401c8ef377d5439”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-isocodes-2022.09.29-r43hc72bb7e_2.conda”h0Œ@323acdfb36c73fab6a406ab1dbaca3ecc3db22b14f1e3d4f86787858c446f8aa”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"µ9»Æ¨hEJ,ñ hFˆubh)”}”(hŒr-iterators”h#Œ1.0.14”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-iterators-1.0.14-r42hc72bb7e_2.conda”h+Œ 616ab7b008326d3d76d59ba35b3fb592”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-iterators-1.0.14-r42hc72bb7e_2.conda”h0Œ@44372f3d7a01575eafd5dfb618d4839836fb00fff0b0fa88eab9b3cd0d1d30d5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"s0/|îhEJmU hFˆubh)”}”(hŒr-iterators”h#Œ1.0.14”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-iterators-1.0.14-r43hc72bb7e_2.conda”h+Œ 5f0c56c25fafdfde7acaf0f332f24195”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-iterators-1.0.14-r43hc72bb7e_2.conda”h0Œ@042a3740bc6fe52850ff4ecc2f720139fff8e6c9b6a259dbb4446742dcf70954”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"s&€  hEJáR hFˆubh)”}”(hŒr-itertools”h#Œ0.1_3”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ(r-itertools-0.1_3-r42hc72bb7e_1005.conda”h+Œ 4c3b1adabfd230031cec0532382e2aef”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-itertools-0.1_3-r42hc72bb7e_1005.conda”h0Œ@7644c6f1d0b18d5f17068549623e2dc2aa4fb21f2e58609ecb82b426dd82d559”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-iterators >=1.0.0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ò_l‹hEJbå hFˆubh)”}”(hŒr-itertools”h#Œ0.1_3”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ(r-itertools-0.1_3-r43hc72bb7e_1005.conda”h+Œ c29913809883f29b045d9f6a5dae69ca”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-itertools-0.1_3-r43hc72bb7e_1005.conda”h0Œ@f513430084db42b5de6a1a7a7829e82dbbd0d97bc0195581647e546c90e9d303”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-iterators >=1.0.0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ò_xr°hEJòá hFˆubh)”}”(hŒr-ivreg”h#Œ0.6_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ivreg-0.6_2-r41hc72bb7e_0.conda”h+Œ 8367399006ddaec6ca4c3ffb99d75f65”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ivreg-0.6_2-r41hc72bb7e_0.conda”h0Œ@d5593a6988a0692664cf662fe10cbba52c5fd5c6d3ab0a9f3a687a298b9e7df9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car >=3.0_9”Œ	r-formula”Œr-lmtest”Œr-mass”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ–åOßhEJ<È hFˆubh)”}”(hŒr-ivreg”h#Œ0.6_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-ivreg-0.6_2-r42hc72bb7e_0.conda”h+Œ 2e3a51b7ec6659338f4a3c4d9f68d8e4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ivreg-0.6_2-r42hc72bb7e_0.conda”h0Œ@c3988c1f35656af9307ab19ec75a83ff82f4a1da8011750b69abbd2d19678173”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car >=3.0_9”Œ	r-formula”Œr-lmtest”Œr-mass”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ‹:ñªhEJkÊ hFˆubh)”}”(hŒr-ivs”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-ivs-0.2.0-r41hc72bb7e_0.conda”h+Œ 6ec8cd93080765e4918e612a5ca3de8a”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ivs-0.2.0-r41hc72bb7e_0.conda”h0Œ@5a2bf99acab9315fc571f3da1d4178da1986f57ac5ba2765ecbdd342369759b3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glue >=1.6.2”Œr-rlang >=1.0.2”Œr-vctrs >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙçbn˜hEJE; hFˆubh)”}”(hŒr-ivs”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-ivs-0.2.0-r42hc72bb7e_0.conda”h+Œ fc6a062511fa2f046b558819f4b4e16f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ivs-0.2.0-r42hc72bb7e_0.conda”h0Œ@8a7ecc50785b2d492bf3e8ddb441b73e740d076a0c963de4c3e89b1e28d1225b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-glue >=1.6.2”Œr-rlang >=1.0.2”Œr-vctrs >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙô¼“hEJ9 hFˆubh)”}”(hŒr-janeaustenr”h#Œ1.0.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-janeaustenr-1.0.0-r42hc72bb7e_2.conda”h+Œ bf17d990232b7122eeec917f00672f81”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-janeaustenr-1.0.0-r42hc72bb7e_2.conda”h0Œ@c3463f27ed4f88041fd43ba0323ed7e12428e42ad0eee93f5bd1f16a85a5f842”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ùìê=qhEJç hFˆubh)”}”(hŒr-janeaustenr”h#Œ1.0.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-janeaustenr-1.0.0-r43hc72bb7e_2.conda”h+Œ e316293195f003ca8989aee5821d09b4”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-janeaustenr-1.0.0-r43hc72bb7e_2.conda”h0Œ@09a4b2e0ed41ea2f9281ac833579798cd636fdf67cb0ac6c07f5df31b088a60a”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ùågl‹hEJGç hFˆubh)”}”(hŒ	r-janitor”h#Œ2.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-janitor-2.2.0-r41hc72bb7e_0.conda”h+Œ 6636ad834947234ec667f50de61f2fba”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-janitor-2.2.0-r41hc72bb7e_0.conda”h0Œ@d33a37df1c27c80a1ed46d4622100ee23514deb7392ee66bf6dba82593bac1c3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-hms”Œr-lifecycle”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-snakecase >=0.9.2”Œ	r-stringi”Œ	r-stringr”Œr-tidyr >=0.7.0”Œr-tidyselect >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ÷OÖŠŸ¾hEJÆ6 hFˆubh)”}”(hŒ	r-janitor”h#Œ2.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-janitor-2.2.0-r42hc72bb7e_0.conda”h+Œ 9709e58e9261a9eaf22ceae9fa60f476”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-janitor-2.2.0-r42hc72bb7e_0.conda”h0Œ@0539db0a29db7052d5762ee2b956b92a323aec7ede461142dbf2e742e5fe512e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-hms”Œr-lifecycle”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-snakecase >=0.9.2”Œ	r-stringi”Œ	r-stringr”Œr-tidyr >=0.7.0”Œr-tidyselect >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ÷OÒÒáHhEJR8 hFˆubh)”}”(hŒ	r-janitor”h#Œ2.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-janitor-2.2.0-r42hc72bb7e_1.conda”h+Œ 8d7de32cb3e700184acc135654690790”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-janitor-2.2.0-r42hc72bb7e_1.conda”h0Œ@2440e247a8be9549c71c95e1f0afac04d95cc9982b16b6240aa1fbb01ca9f2b2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-hms”Œr-lifecycle”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-snakecase >=0.9.2”Œ	r-stringi”Œ	r-stringr”Œr-tidyr >=0.7.0”Œr-tidyselect >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÆS¡hshEJ: hFˆubh)”}”(hŒ	r-janitor”h#Œ2.2.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-janitor-2.2.0-r43hc72bb7e_1.conda”h+Œ b6148a843adcda84cbc97b80fbabf6c0”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-janitor-2.2.0-r43hc72bb7e_1.conda”h0Œ@54d8152226689fb66c9ecbd2937be11c689d7bf21ac4ee6d626bdbad27b4890f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=1.0.0”Œr-hms”Œr-lifecycle”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-snakecase >=0.9.2”Œ	r-stringi”Œ	r-stringr”Œr-tidyr >=0.7.0”Œr-tidyselect >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÆZì¼jhEJü- hFˆubh)”}”(hŒ
r-jbrowser”h#Œ0.10.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-jbrowser-0.10.0-r41hc72bb7e_0.conda”h+Œ bdacd3192b32832a2eef308814417150”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-jbrowser-0.10.0-r41hc72bb7e_0.conda”h0Œ@4c475c02c92073afe1a16b4dec8b68486fcc8c80201b4ded67b5f1f6afeb4533”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets”Œr-httpuv”Œr-ids”Œ
r-jsonlite”Œ
r-magrittr”Œr-mime”Œr-reactr”Œr-readr”Œ	r-stringr”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ ¶}C–hEJ8‘ hFˆubh)”}”(hŒ
r-jbrowser”h#Œ0.10.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-jbrowser-0.10.0-r42hc72bb7e_0.conda”h+Œ 76b5061185362767a6c0407a3388a3b1”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-jbrowser-0.10.0-r42hc72bb7e_0.conda”•      h0Œ@7d5fd4780d83c63ba2bf9913e79c9f9c98601bf4afda5dd1d49b4be2622c00f7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets”Œr-httpuv”Œr-ids”Œ
r-jsonlite”Œ
r-magrittr”Œr-mime”Œr-reactr”Œr-readr”Œ	r-stringr”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ ¶oœÝ/hEJ‘‘ hFˆubh)”}”(hŒ	r-jcolors”h#Œ0.0.4”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ#r-jcolors-0.0.4-r42hc72bb7e_4.conda”h+Œ 7abc304aae77fe780eefc58e0dec838d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-jcolors-0.0.4-r42hc72bb7e_4.conda”h0Œ@7e216793d55a50f7076cd3c18cfef7918458155cf5578de06c2af6b1fc050788”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-scales”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ#ZïžhEJt]
 hFˆubh)”}”(hŒ	r-jcolors”h#Œ0.0.4”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ#r-jcolors-0.0.4-r43hc72bb7e_4.conda”h+Œ bff79c6f449c5bd5a4926a4ef86c09c4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-jcolors-0.0.4-r43hc72bb7e_4.conda”h0Œ@f7049793ea406c1850be557d1e9a0f47eb8e48768c66f2b372e2770dc1987bca”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=3.0.0”Œr-scales”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ#`“uhEJëY
 hFˆubh)”}”(hŒ	r-jmvcore”h#Œ2.3.19”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-jmvcore-2.3.19-r41hc72bb7e_0.conda”h+Œ eec6ba89d2f6c0ecc2ac3ad1078deffb”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-jmvcore-2.3.19-r41hc72bb7e_0.conda”h0Œ@88dea79fbe092a58c424d5c1b0b01867642ca299bbfe49e68a3e83ea58d68385”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œ
r-jsonlite”Œr-r6 >=1.0.1”Œr-rjson”Œr-rlang >=0.3.0.1”Œ	r-stringi”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÝÁ„QìhEJê hFˆubh)”}”(hŒ	r-jmvcore”h#Œ2.3.19”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-jmvcore-2.3.19-r42hc72bb7e_0.conda”h+Œ 9d1f0a97cef85efe332f5c4efb610c2f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-jmvcore-2.3.19-r42hc72bb7e_0.conda”h0Œ@7411041f18ec7c54a098c0029be0e9609ab5faf2d15be4e6472ee33af1b02040”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œ
r-jsonlite”Œr-r6 >=1.0.1”Œr-rjson”Œr-rlang >=0.3.0.1”Œ	r-stringi”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÝÁ…‚-hEJáb hFˆubh)”}”(hŒ	r-jmvcore”h#Œ2.3.19”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-jmvcore-2.3.19-r42hc72bb7e_1.conda”h+Œ 79be4f068794453125fe39ae64acf6c0”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-jmvcore-2.3.19-r42hc72bb7e_1.conda”h0Œ@e3a188c04103881663b0a3035edbe4ac8821bbf2578b6ebb0d33bbc667406be1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œ
r-jsonlite”Œr-r6 >=1.0.1”Œr-rjson”Œr-rlang >=0.3.0.1”Œ	r-stringi”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#	‹p¤hEJÒf hFˆubh)”}”(hŒ	r-jmvcore”h#Œ2.3.19”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-jmvcore-2.3.19-r43hc72bb7e_1.conda”h+Œ 8ee057fcfc82150fc8efa2684a4b9f2d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-jmvcore-2.3.19-r43hc72bb7e_1.conda”h0Œ@4b35f20b0d515df8c2d2ec7ae496c11568b57cfd0b639e7c44bd7095d97f91c3”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc”Œ
r-jsonlite”Œr-r6 >=1.0.1”Œr-rjson”Œr-rlang >=0.3.0.1”Œ	r-stringi”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#	—ç|îhEJŽw hFˆubh)”}”(hŒr-jquerylib”h#Œ0.1.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-jquerylib-0.1.4-r42hc72bb7e_2.conda”h+Œ d748f7b4d48529b0ad0308f0be1dd132”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-jquerylib-0.1.4-r42hc72bb7e_2.conda”h0Œ@dd72c0a277d7c6f0cc0a4b12127c2f71dd6e5e95ff7e7a77f5b22dd4642e5e44”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmltools”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"rÿ:¬hEJýª hFˆubh)”}”(hŒr-jquerylib”h#Œ0.1.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-jquerylib-0.1.4-r43hc72bb7e_2.conda”h+Œ 49a3fad710cbccec9139b36587842f88”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-jquerylib-0.1.4-r43hc72bb7e_2.conda”h0Œ@11c7a3587942a6418b1da9c8e553b2ae942b958364c4c993f3eea2c690465d02”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-htmltools”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"rêÌ›¦hEJ-© hFˆubh)”}”(hŒr-jsonld”h#Œ2.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-jsonld-2.2-r42hc72bb7e_2.conda”h+Œ a95c4efa9726264bffd9530b6bd85f11”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-jsonld-2.2-r42hc72bb7e_2.conda”h0Œ@c80dbdc2033c761aa01a70055c428668aced3a0dfa9ee8c9ff46c363c11bb403”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=2.7”Œ
r-jsonlite”Œr-v8”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"æ‚+hEJ E hFˆubh)”}”(hŒr-jsonld”h#Œ2.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-jsonld-2.2-r43hc72bb7e_2.conda”h+Œ 3724c280122f74d1b09902abfdafd6c6”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-jsonld-2.2-r43hc72bb7e_2.conda”h0Œ@0e6f705c8ddddc409bd83a24310ed7c150f7163961bbe272dda0000062056dd3”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-curl >=2.7”Œ
r-jsonlite”Œr-v8”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"æˆ5VhEJÄD hFˆubh)”}”(hŒr-jsonvalidate”h#Œ1.3.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-jsonvalidate-1.3.2-r42hc72bb7e_2.conda”h+Œ 7c918471dd1c5d5a1ac5614d777d60d4”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-jsonvalidate-1.3.2-r42hc72bb7e_2.conda”h0Œ@446737d40261e67d3bf00be2c4b00ee7fe951e9942456c8d3e00ae033951f376”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-v8”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"æ~½ÒòhEJNÝ hFˆubh)”}”(hŒr-jsonvalidate”h#Œ1.3.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-jsonvalidate-1.3.2-r43hc72bb7e_2.conda”h+Œ ad49bec575196972804141146b9b7723”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-jsonvalidate-1.3.2-r43hc72bb7e_2.conda”h0Œ@612ce6b867c71235b2061fecc7613a0794bed960ada090367a8e78ce3b80a9e0”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-v8”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"æŒ¢ÐåhEJ!ß hFˆubh)”}”(hŒr-jtools”h#Œ2.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-jtools-2.2.1-r41hc72bb7e_0.conda”h+Œ ecb32e932337c88788bb3af23895438e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jtools-2.2.1-r41hc72bb7e_0.conda”h0Œ@094e02068dc0c1011e91f4a48305d06c02f0c3c96479ce3d80527eb756ff1e74”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œ
r-generics”Œr-ggplot2 >=3.3.0”Œ
r-magrittr”Œr-pander”Œr-pkgconfig”Œr-rlang >=0.3.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâe¤í‘hEJ{- hFˆubh)”}”(hŒr-jtools”h#Œ2.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-jtools-2.2.1-r42hc72bb7e_0.conda”h+Œ ae25732562a2d9ad5b11b03b9b01581e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jtools-2.2.1-r42hc72bb7e_0.conda”h0Œ@bcb856596d0636795454a0cae70969157c53675d463a4c9ad26c3968d90afc7f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œ
r-generics”Œr-ggplot2 >=3.3.0”Œ
r-magrittr”Œr-pander”Œr-pkgconfig”Œr-rlang >=0.3.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâe QìhEJu- hFˆubh)”}”(hŒr-jtools”h#Œ2.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-jtools-2.2.1-r42hc72bb7e_1.conda”h+Œ e47786fd6f2064c8a4b7a3d0c430fcc3”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jtools-2.2.1-r42hc72bb7e_1.conda”h0Œ@419ee4cb337c18ab1daec3b1116e50342fdfab14838cf1bdf9163a4f47b5aec9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œ
r-generics”Œr-ggplot2 >=3.3.0”Œ
r-magrittr”Œr-pander”Œr-pkgconfig”Œr-rlang >=0.3.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#	„æ‡+hEJN!- hFˆubh)”}”(hŒr-jtools”h#Œ2.2.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-jtools-2.2.1-r43hc72bb7e_1.conda”h+Œ 312987903d195fdc0a5d42402eb8d3a7”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jtools-2.2.1-r43hc72bb7e_1.conda”h0Œ@b1ff15d649eeea2a963d020e6da18fc948840e6a24e976bba5cc239e10083c43”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crayon”Œ
r-generics”Œr-ggplot2 >=3.3.0”Œ
r-magrittr”Œr-pander”Œr-pkgconfig”Œr-rlang >=0.3.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#	ˆÂMÓhEJ»$- hFˆubh)”}”(hŒr-juicyjuice”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-juicyjuice-0.1.0-r42hc72bb7e_1.conda”h+Œ 0b0f4ed920aa1d73b7d3ee355faa5d91”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-juicyjuice-0.1.0-r42hc72bb7e_1.conda”h0Œ@0c14b4ba058a3e7b663c57ad436f1a1696cd07a6844c6ddeb0fd93de8633bdf4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-v8 >=4.2.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÁCÖ§ðhEJaÜ hFˆubh)”}”(hŒr-juicyjuice”h#Œ0.1.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-juicyjuice-0.1.0-r43hc72bb7e_1.conda”h+Œ 3cd97d22f8c12ce95807ea98aa9a74d7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-juicyjuice-0.1.0-r43hc72bb7e_1.conda”h0Œ@649425db12991b735337ba5fb07ac00c5f83732ade057e557e3e3c757bcc5be0”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-v8 >=4.2.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÁR—hEJ¢Ü hFˆubh)”}”(hŒr-kableextra”h#Œ1.3.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-kableextra-1.3.4-r42hc72bb7e_2.conda”h+Œ 1830f7be1f7484757b7d02e6c194f45d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-kableextra-1.3.4-r42hc72bb7e_2.conda”h0Œ@7bc582b9512e0cba561898d9725924422882a3a02e77ff152437660be0e5ec8a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-glue”Œr-htmltools”Œr-knitr >=1.16”Œ
r-magrittr”Œr-rmarkdown >=1.6.0”Œr-rstudioapi”Œr-rvest”Œr-scales”Œr-stringr >=1.0”Œ	r-svglite”Œr-viridislite”Œ	r-webshot”Œr-xml2 >=1.1.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÀIö$ÝhEJÏ$ hFˆubh)”}”(hŒr-kableextra”h#Œ1.3.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-kableextra-1.3.4-r43hc72bb7e_2.conda”h+Œ 7a6a4b3ef8596de93645eb8b3b3905d7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-kableextra-1.3.4-r43hc72bb7e_2.conda”h0Œ@438de906e596887acbdcfb03b87fc77330cb87a3410762f3506777cf1a08840e”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest”Œr-glue”Œr-htmltools”Œr-knitr >=1.16”Œ
r-magrittr”Œr-rmarkdown >=1.6.0”Œr-rstudioapi”Œr-rvest”Œr-scales”Œr-stringr >=1.0”Œ	r-svglite”Œr-viridislite”Œ	r-webshot”Œr-xml2 >=1.1.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÀMŸ¾hEJÛ  hFˆubh)”}”(hŒr-keras”h#Œ2.11.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-keras-2.11.1-r41hc72bb7e_0.conda”h+Œ 95e09488246b21062248c91db2e9b39d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-keras-2.11.1-r41hc72bb7e_0.conda”h0Œ@2c4429e45b7333085aec56393a37942f0a718513a0d74a6a3bf20dc1b00756cc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-ellipsis”Œr-generics >=0.0.1”Œr-glue”Œ
r-magrittr”Œr-r6”Œr-reticulate >1.22”Œr-rlang”Œr-tensorflow >2.7.0”Œr-tfruns >=1.0”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ(èºŸ¾hEJ«+ hFˆubh)”}”(hŒr-keras”h#Œ2.11.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-keras-2.11.1-r42hc72bb7e_0.conda”h+Œ c893b52894864eb4bd9c45961d2d1e63”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-keras-2.11.1-r42hc72bb7e_0.conda”h0Œ@ff1d301f27908be50d427224a637bf57693d7f67d3a2ac55cd01f6542e1c3bc0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-ellipsis”Œr-generics >=0.0.1”Œr-glue”Œ
r-magrittr”Œr-r6”Œr-reticulate >1.22”Œr-rlang”Œr-tensorflow >2.7.0”Œr-tfruns >=1.0”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ(âÆ¨hEJ–ß+ hFˆubh)”}”(hŒr-keras”h#Œ2.11.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-keras-2.11.1-r42hc72bb7e_1.conda”h+Œ 44fafde18e6cae4408dcf7d45914969a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-keras-2.11.1-r42hc72bb7e_1.conda”h0Œ@cf81b1175af004c6840f9dfec865e9d9647c25db3272e7e24f2d3dfed90e7f32”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-ellipsis”Œr-generics >=0.0.1”Œr-glue”Œ
r-magrittr”Œr-r6”Œr-reticulate >1.22”Œr-rlang”Œr-tensorflow >2.7.0”Œr-tfruns >=1.0”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ùáa7LhEJTé+ hFˆubh)”}”(hŒr-keras”h#Œ2.11.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-keras-2.11.1-r43hc72bb7e_1.conda”h+Œ f333701fad1aeb56cda6d51b0399eb92”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-keras-2.11.1-r43hc72bb7e_1.conda”h0Œ@78a6819c482c108d1f9b2db4dc4f7cf8605c2599b29df6603e5aaec9dce6d89a”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ
r-ellipsis”Œr-generics >=0.0.1”Œr-glue”Œ
r-magrittr”Œr-r6”Œr-reticulate >1.22”Œr-rlang”Œr-tensorflow >2.7.0”Œr-tfruns >=1.0”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÙÎuãThEJ¡Ì+ hFˆubh)”}”(hŒr-kimisc”h#Œ0.4”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ#r-kimisc-0.4-r42hc72bb7e_1004.conda”h+Œ 65cfa15aba3e2a7213bafd34ed48624f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-kimisc-0.4-r42hc72bb7e_1004.conda”h0Œ@4048215f40cd6f018d29560d446906c17bf7bab3acc8dfc30eae2c37c1f03d02”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-memoise”Œr-plyr”Œr-pryr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ò7È´9hEJÈ hFˆubh)”}”(hŒr-kimisc”h#Œ0.4”h%Œr43hc72bb7e_1004”h'Mìhhh(h)hŒ#r-kimisc-0.4-r43hc72bb7e_1004.conda”h+Œ 19fdbbe3240108dfbac00ed9bf0a8637”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-kimisc-0.4-r43hc72bb7e_1004.conda”h0Œ@02f09dcb822bea2d708f275a74d0e75a777a5a02820b9b2ae5879e51275811c2”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-memoise”Œr-plyr”Œr-pryr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ò0vÙhEJ  hFˆubh)”}”(hŒ
r-kinship2”h#Œ1.9.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-kinship2-1.9.6-r42hc72bb7e_1.conda”h+Œ 8290bb9966f474140346c266bf96ad2c”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-kinship2-1.9.6-r42hc72bb7e_1.conda”h0Œ@8cd9f7806bb8b1dcb9f576fac5dc03f24058d00e2fbb6d557f0b586dadf49b7e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-knitr”Œr-matrix”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#	 ^¸RhEJúë hFˆubh)”}”(hŒ
r-kinship2”h#Œ1.9.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-kinship2-1.9.6-r43hc72bb7e_1.conda”h+Œ e3c49ba81fa7f50dba869b01fb915950”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-kinship2-1.9.6-r43hc72bb7e_1.conda”h0Œ@d85441d6f41ce8de982f40e61c80f1636c0a2e7890fbf650eecaee63492c665a”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-knitr”Œr-matrix”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#	…VéyhEJuì hFˆubh)”}”(hŒr-klar”h#Œ1.7_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-klar-1.7_2-r41hc72bb7e_0.conda”h+Œ a607cf9aa03dfca7a87bc25e0cc8dc78”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-klar-1.7_2-r41hc72bb7e_0.conda”h0Œ@9bf44c4bed3b2cc192157d859fda94a5cb3f69b664e576733ec6152668b052eb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-combinat”Œr-mass”Œr-questionr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙHž¸hEJyÏ hFˆubh)”}”(hŒr-klar”h#Œ1.7_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-klar-1.7_2-r42hc72bb7e_0.conda”h+Œ ff9d2e788c01693c9702e9d036a8c866”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-klar-1.7_2-r42hc72bb7e_0.conda”h0Œ@e014406c3f9d8339c8b18373e525c5b8a56ea015ddf2dee777b22aaf49e0f250”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-combinat”Œr-mass”Œr-questionr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙH¥šn˜hEJ•Î hFˆubh)”}”(hŒr-km.ci”h#Œ0.5_6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-km.ci-0.5_6-r42hc72bb7e_2.conda”h+Œ d5d665b45b2ebf9d9b1f921d97a6dadc”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-km.ci-0.5_6-r42hc72bb7e_2.conda”h0Œ@65bfce7f3f6c10b145d460993f004309aede3819113b4c5d0e7d28db2e4ecad2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-survival”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"Ìç™%hEJŒP hFˆubh)”}”(hŒr-km.ci”h#Œ0.5_6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-km.ci-0.5_6-r43hc72bb7e_2.conda”h+Œ a2b11455528311d90a68d3d0a83db928”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-km.ci-0.5_6-r43hc72bb7e_2.conda”h0Œ@23e8773eec48de52603cff325959f5cf52748801d46f1d4bcc70813e5cab7fff”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ
r-survival”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"Ìêì1hEJ£N hFˆubh)”}”(hŒr-kml3d”h#Œ2.4.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-kml3d-2.4.6-r41hc72bb7e_0.conda”h+Œ 88d2ed71f37f680c271a69aae6b67be2”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-kml3d-2.4.6-r41hc72bb7e_0.conda”h0Œ@7e44aa2eec644f903603200327b25d6fc424923e2e2e674a721766f2ef19fa2b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clv”Œr-kml >=2.4.1”Œr-longitudinaldata >=2.4.1”Œr-misc3d”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØúG0I&éhEJÓ• hFˆubh)”}”(hŒr-kml3d”h#Œ2.4.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-kml3d-2.4.6-r42hc72bb7e_0.conda”h+Œ 7c1008b59a50e9f8361352f378e948aa”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-kml3d-2.4.6-r42hc72bb7e_0.conda”h0Œ@aabcf53126892669dae802bee895e5f5da0a90ad3eb17d496f30341b4606e548”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-clv”Œr-kml >=2.4.1”Œr-longitudinaldata >=2.4.1”Œr-misc3d”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØúG&‘hhEJž– hFˆubh)”}”(hŒr-kmsurv”h#Œ0.1_5”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ%r-kmsurv-0.1_5-r42hc72bb7e_1005.conda”h+Œ 3285cf05b2372670ec4c3c6c300a08a9”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kmsurv-0.1_5-r42hc72bb7e_1005.conda”h0Œ@6f5c18234568834bf9b3f43c1d8c0129b85649ebc80b6e109e729098a13e888d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"ÌÛ+hEJ4 hFˆubh)”}”(hŒr-kmsurv”h#Œ0.1_5”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ%r-kmsurv-0.1_5-r43hc72bb7e_1005.conda”h+Œ 4e8c2c689769c020b3cf7d5549195a35”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kmsurv-0.1_5-r43hc72bb7e_1005.conda”h0Œ@b354ece93405eae3c5670ccee7889f97ddd706c6ac49b0c207f811ae3fbe430e”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"ÌíjMÓhEJ- hFˆubh)”}”(hŒr-knitr”h#Œ1.43”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-knitr-1.43-r41hc72bb7e_0.conda”h+Œ 9a1b185e1cf8286af819f0def11fbafa”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-knitr-1.43-r41hc72bb7e_0.conda”h0Œ@ebf32a8180d137fc3a377fe725e1ca3da3ad98d1c95a4bc40779ba2efb7c4a60”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-evaluate >=0.15”Œr-highr”Œr-xfun >=0.34”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙÍYã•hEJ[Ë hFˆubh)”}”(hŒr-knitr”h#Œ1.43”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-knitr-1.43-r42hc72bb7e_0.conda”h+Œ 17706d1e321c887b532803e738263ea2”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-knitr-1.43-r42hc72bb7e_0.conda”h0Œ@47cdb8c43cb9b8f56b107bec261e26208e77bc7bf702eca04274c5c9c45a2535”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-evaluate >=0.15”Œr-highr”Œr-xfun >=0.34”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙÍhð ÅhEJ:Ó hFˆubh)”}”(hŒr-knitr”h#Œ1.43”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-knitr-1.43-r42hc72bb7e_1.conda”h+Œ a85f555128f1d9412d88bb50e0bb2feb”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-knitr-1.43-r42hc72bb7e_1.conda”h0Œ@c34f0b1c337476ec83fd92c015b9b5cd475520fa72cc671315004450f8f4529b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-evaluate >=0.15”Œr-highr”Œr-xfun >=0.34”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"_ÃïžhEJ?Î hFˆubh)”}”(hŒr-knitr”h#Œ1.43”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-knitr-1.43-r43hc72bb7e_1.conda”h+Œ 250fba59a59f0d02ca050f38831ad431”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-knitr-1.43-r43hc72bb7e_1.conda”h0Œ@2bf0662f771768a830a0d8ab690f1204e50d41564754fa1c0a205a360952c00f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-evaluate >=0.15”Œr-highr”Œr-xfun >=0.34”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"_Ãê-hEJ®Ç hFˆubh)”}”(hŒr-kutils”h#Œ1.70”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-kutils-1.70-r42hc72bb7e_2.conda”h+Œ 8f3e18161123f5a141033a70e04772e2”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-kutils-1.70-r42hc72bb7e_2.conda”h0Œ@7e5755ad716523dd67dc7decc19d4cfec49785dfbaeedf84648dceb4474cc84b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-foreign”Œ
r-openxlsx”Œr-plyr”Œr-runit”Œr-xtable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#	ž)‡hEJ, hFˆubh)”}”(hŒr-kutils”h#Œ1.70”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-kutils-1.70-r43hc72bb7e_2.conda”h+Œ 7a575fcda8e290610729a3be491e9bd1”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-kutils-1.70-r43hc72bb7e_2.conda”h0Œ@bc11e5ab0074ab91d568e627fa6837146b503e39b39dcabfeed26f7d062a8e0f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-foreign”Œ
r-openxlsx”Œr-plyr”Œr-runit”Œr-xtable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#	z9hshEJD- hFˆubh)”}”(hŒ
r-labeling”h#Œ0.4.2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ$r-labeling-0.4.2-r42hc72bb7e_3.conda”h+Œ 04494692df959c3d41fa3a79ff619200”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r42hc72bb7e_3.conda”h0Œ@105fffa6ae4417c26f4c14d45b3187e0a9c975122f5e6d7c99527e61803b566e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"r¬µ¡ËhEJ› hFˆubh)”}”(hŒ
r-labeling”h#Œ0.4.2”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ$r-labeling-0.4.2-r43hc72bb7e_3.conda”h+Œ e744c6c1e99c6c82ce82cb010cf8393a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r43hc72bb7e_3.conda”h0Œ@f0a92b9e8171f5a0e3397b940f6c4394a17175c6c82c23b3e9ec52edeb31af64”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"r¥¿ïžhEJý hFˆubh)”}”(hŒ
r-labelled”h#Œ2.11.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-labelled-2.11.0-r41hc72bb7e_0.conda”h+Œ fd6d36c05352832a79e14198bd4a2ff3”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-labelled-2.11.0-r41hc72bb7e_0.conda”h0Œ@f8728aaa2c6cd29e329c0e9d958e6c1e9b061fcc67bd24d8333b50bf5a80be83”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-haven >=2.3.1”Œr-lifecycle”Œr-rlang”Œ	r-stringr”Œr-tidyr”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙi¸r°hEJÛ– hFˆubh)”}”(hŒ
r-labelled”h#Œ2.11.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-labelled-2.11.0-r42hc72bb7e_0.conda”h+Œ aa318ea8e24a673729a5a888fab95bfc”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-labelled-2.11.0-r42hc72bb7e_0.conda”h0Œ@a1ca5b2f801ba4eedc1acdaa5e5e431a16c9d0238b6586706f04a1e6cff88491”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-haven >=2.3.1”Œr-lifecycle”Œr-rlang”Œ	r-stringr”Œr-tidyr”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙa–éyhEJØ“ hFˆubh)”}”(hŒr-laeken”h#Œ0.5.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-laeken-0.5.2-r42hc72bb7e_2.conda”h+Œ 29c7011593261622792a971f2e03c926”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-laeken-0.5.2-r42hc72bb7e_2.conda”h0Œ@6dd3e13ad00989e5b44b3315e49ab1e00e3b2a6af3ab6914a1bce4e26b8f388f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"æfÄœhEJ	;/ hFˆubh)”}”(hŒr-laeken”h#Œ0.5.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-laeken-0.5.2-r43hc72bb7e_2.conda”h+Œ b4a11eac7e1f702648011156e9d3cbdb”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-laeken-0.5.2-r43hc72bb7e_2.conda”h0Œ@e5fc547c41f73cc32de56b76b2dc931c2657a81920cf6e55449cceca2b8f3ce0”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"æuK•hEJ8/ hFˆubh)”}”(hŒr-lahman”h#Œ11.0_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-lahman-11.0_0-r41hc72bb7e_0.conda”h+Œ fc507a1a8ce0f6fe11767c2fe295c871”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lahman-11.0_0-r41hc72bb7e_0.conda”h0Œ@9abad980dce4784d28c0d08ad039a93909b1119d5516f3ae56c6fabb99cb1642”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dplyr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙè×äIºhEJ‹Æ` hFˆubh)”}”(hŒr-lahman”h#Œ11.0_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-lahman-11.0_0-r42hc72bb7e_0.conda”h+Œ 7401ac1f2b04759ec5ceb0e4f365b5a5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lahman-11.0_0-r42hc72bb7e_0.conda”h0Œ@8b5161249996d5b563f14e167dd2ef127fd2d934d3ab5e06436281efb0aa6330”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dplyr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙèØy‡hEJýý` hFˆubh)”}”(hŒ
r-lambda.r”h#Œ1.2.4”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ$r-lambda.r-1.2.4-r42hc72bb7e_3.conda”h+Œ cec65435c9d1160da986502241f119c5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-lambda.r-1.2.4-r42hc72bb7e_3.conda”h0Œ@644451b721a81c8db53db3862ed493940ec70635cc8d329b3c6bfaeb0eb7b063”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-formatr”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"ÓV “uhEJûÓ hFˆubh)”}”(hŒ
r-lambda.r”h#Œ1.2.4”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ$r-lambda.r-1.2.4-r43hc72bb7e_3.conda”h+Œ a834bee64974308c876feef5779b4d93”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-lambda.r-1.2.4-r43hc72bb7e_3.conda”h0Œ@72a137cfe2c3600755b72aa1a3db80f769d41cfbb6a24bb56113206c091082cb”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-formatr”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"Ó_¬“hEJvÒ hFˆubh)”}”(hŒr-laplacesdemon”h#Œ16.1.6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-laplacesdemon-16.1.6-r42hc72bb7e_2.conda”h+Œ 78c1ab0dccfe74f8cc6b79d4e50f4d0a”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-laplacesdemon-16.1.6-r42hc72bb7e_2.conda”h0Œ@9c7160bba3f870662e3ddcd59113a0e4e751946933354d4be83a83eb348943e3”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ò7y‡hEJKØ; hFˆubh)”}”(hŒr-laplacesdemon”h#Œ16.1.6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ*r-laplacesdemon-16.1.6-r43hc72bb7e_2.conda”h+Œ e139a53330809d3d7cfdd5dbc954c7f7”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-laplacesdemon-16.1.6-r43hc72bb7e_2.conda”h0Œ@f2f276edeb98a16da3c6ed955cd6f74a00771975b360b2827039ebd266a60353”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ò-PhEJÞª; hFˆubh)”}”(hŒr-latex2exp”h#Œ0.9.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-latex2exp-0.9.6-r41hc72bb7e_0.conda”h+Œ eadad3dfcbf71bf5d0a24738f60f81cf”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-latex2exp-0.9.6-r41hc72bb7e_0.conda”h0Œ@9ead6c34e8396e7559944d2d467c9dccdd6a36e9f0c320e3ed024cea15c80726”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œ	r-stringr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØáæ1xÕhEJR' hFˆubh)”}”(hŒr-latex2exp”h#Œ0.9.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-latex2exp-0.9.6-r42hc72bb7e_0.conda”h+Œ 714c35ca7a91e1a071991a198e41349f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-latex2exp-0.9.6-r42hc72bb7e_0.conda”h0Œ@83fe9e8760c9ee1f9487d9791704e63a85e0340bc55e9155c3ae3d91bc40058f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-magrittr”Œ	r-stringr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØáì©ühEJ|% hFˆubh)”}”(hŒr-latticeextra”h#Œ0.6_30”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-latticeextra-0.6_30-r42hc72bb7e_2.conda”h+Œ d964bfae1b7ac8b733a3ae7060f39914”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-latticeextra-0.6_30-r42hc72bb7e_2.conda”h0Œ@84cc97c4e2b5b6a745d466ea9166aa92c0e99c47f251e144989f0982d452d282”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-interp”Œr-jpeg”Œ	r-lattice”Œr-mass”Œr-png”Œr-rcolorbrewer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ";ã•hEJ¬Ã! hFˆubh)”}”(hŒr-latticeextra”h#Œ0.6_30”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ)r-latticeextra-0.6_30-r43hc72bb7e_2.conda”h+Œ e02f0d268e126803dfa29655ebfd3c09”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-latticeextra-0.6_30-r43hc72bb7e_2.conda”h0Œ@aedfc9dea5ddd0ab8c38b67391fe1bf53bb916c2c8414e26e6f4bbfecdd32fd9”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-interp”Œr-jpeg”Œ	r-lattice”Œr-mass”Œr-png”Œr-rcolorbrewer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"?(bNhEJóÇ! hFˆubh)”}”(hŒr-lava”h#Œ1.7.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-lava-1.7.2.1-r41hc72bb7e_0.conda”h+Œ f9e6590776d920a243044d1138a7c589”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lava-1.7.2.1-r41hc72bb7e_0.conda”h0Œ@99f9169287718e0b09d14e57f2744c65d129010b2674cbb65b43eeeaf16ba5bb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-future.apply”Œ
r-numderiv”Œr-progressr”Œ	r-squarem”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÿéÍüIºhEJ59% hFˆubh)”}”(hŒr-lava”h#Œ1.7.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-lava-1.7.2.1-r42hc72bb7e_0.conda”h+Œ 62784583f08ea3618f760024eac434c4”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lava-1.7.2.1-r42hc72bb7e_0.conda”h0Œ@b2c1bb8a974690c1ce6d46235dab0003ad383946ba937ac5db4b3dd9289be65d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-future.apply”Œ
r-numderiv”Œr-progressr”Œ	r-squarem”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÿéÝc÷ÏhEJ€D% hFˆubh)”}”(hŒr-lava”h#Œ1.7.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-lava-1.7.2.1-r42hc72bb7e_1.conda”h+Œ 22ce36da520e1fec2b1e14eed60ab778”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lava-1.7.2.1-r42hc72bb7e_1.conda”h0Œ@46b01db3c4c9d2ec651c8bfe6131bd815daca1380dd7e0063b160e2c66ed02b4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-future.apply”Œ
r-numderiv”Œr-progressr”Œ	r-squarem”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"—I‡hEJÐA% hFˆubh)”}”(hŒr-lava”h#Œ1.7.2.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-lava-1.7.2.1-r43hc72bb7e_1.conda”h+Œ 6e21004d58978165d6522ba3d631f1dd”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lava-1.7.2.1-r43hc72bb7e_1.conda”h0Œ@326b8df235363af938ca1fcd48e060b16450d5336da59e8671fe88c0ec0542ec”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-future.apply”Œ
r-numderiv”Œr-progressr”Œ	r-squarem”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"—G5OßhEJ0!% hFˆubh)”}”(hŒr-lavaan”h#Œ0.6_15”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-lavaan-0.6_15-r41hc72bb7e_0.conda”h+Œ 019384b64310996d0df85700882d48b8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lavaan-0.6_15-r41hc72bb7e_0.conda”h0Œ@3db9bc5f3015fb63a62800227b2c3f7cdb7c899840219a03aac9bb4eb4298f29”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-mnormt”Œ
r-numderiv”Œ
r-pbivnorm”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ=G_²hEJÒÖ3 hFˆubh)”}”(hŒr-lavaan”h#Œ0.6_15”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-lavaan-0.6_15-r42hc72bb7e_0.conda”h+Œ 37c2bb8cac2edd3a7e2d69fcc7af7341”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lavaan-0.6_15-r42hc72bb7e_0.conda”h0Œ@db19073817faafc29f3c1d7db3e01e8cb518897e752d97d64baddcf93ac63947”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-mnormt”Œ
r-numderiv”Œ
r-pbivnorm”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ=3 A‰hEJ'Ü3 hFˆubh)”}”(hŒr-lavaan”h#Œ0.6_15”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-lavaan-0.6_15-r42hc72bb7e_1.conda”h+Œ f2b72dd53622466295e1014bc9c90a36”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lavaan-0.6_15-r42hc72bb7e_1.conda”h0Œ@574d29b67dcae17935414d5e7f71c9be7cf87788d7ef6bde3c912b78388469c9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-mnormt”Œ
r-numderiv”Œ
r-pbivnorm”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"å
ÐåhEJ'Ù3 hFˆubh)”}”(hŒr-lavaan”h#Œ0.6_15”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-lavaan-0.6_15-r43hc72bb7e_1.conda”h+Œ dcbb4d9218c0a7d4561920f3741b91d2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lavaan-0.6_15-r43hc72bb7e_1.conda”h0Œ@3eeef81f4f5671c7ec72c78591a5c83ed6c57384b8987c1e550e0203aaf3957c”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-mass”Œr-mnormt”Œ
r-numderiv”Œ
r-pbivnorm”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ñª\hEJÈò3 hFˆubh)”}”(hŒ	r-ldlinkr”h#Œ1.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ldlinkr-1.3.0-r41hc72bb7e_0.conda”h+Œ 077ec38dc2d91364c68d2e9f5dfa91fe”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ldlinkr-1.3.0-r41hc72bb7e_0.conda”h0Œ@e41bb7bb8cb1a903b4a2f690c14ac646f863ce623ff11bfadd675143dbf7a860”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr >=1.4.0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙêâÖ$ÝhEJc‰ hFˆubh)”}”(hŒ	r-ldlinkr”h#Œ1.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-ldlinkr-1.3.0-r42hc72bb7e_0.conda”h+Œ 171e91973a211d827ebbf77eea7bfc4c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ldlinkr-1.3.0-r42hc72bb7e_0.conda”h0Œ@e4c37cea020a26918d1067ffc62df2ad4a799fe1672f94f7f45328df9da409dc”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-httr >=1.4.0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙêò{¥ãhEJú† hFˆubh)”}”(hŒ	r-leaflet”h#Œ2.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-leaflet-2.1.2-r41hc72bb7e_0.conda”h+Œ 1633fcc5a1eb898dad3005a041a3bbdd”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-leaflet-2.1.2-r41hc72bb7e_0.conda”h0Œ@69c820487804c3b44e8fe76880bbbc50fca068178f92941decaa9480c6d46de8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-crosstalk”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet.providers >=1.8.0”Œ
r-magrittr”Œ
r-markdown”Œr-png”Œr-raster”Œr-rcolorbrewer”Œr-scales >=1.0.0”Œr-sp”Œr-viridis >=0.5.1”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ‚S1hEJbp hFˆubh)”}”(hŒ	r-leaflet”h#Œ2.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-leaflet-2.1.2-r42hc72bb7e_0.conda”h+Œ b358c44ea498dbd0325a6437a29e8fac”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-leaflet-2.1.2-r42hc72bb7e_0.conda”h0Œ@076ff3bee68dbc8003f6babb3306f2a9e453e841cad5896b30b4fefb9a8c9caf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-crosstalk”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet.providers >=1.8.0”Œ
r-magrittr”Œ
r-markdown”Œr-png”Œr-raster”Œr-rcolorbrewer”Œr-scales >=1.0.0”Œr-sp”Œr-viridis >=0.5.1”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ‚T65?hEJQx hFˆubh)”}”(hŒ	r-leaflet”h#Œ2.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-leaflet-2.1.2-r42hc72bb7e_1.conda”h+Œ 6292724934c1c0c66a03bff0d2ee3dd4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-leaflet-2.1.2-r42hc72bb7e_1.conda”h0Œ@e63dcb9afa91d4b14a6fd87f77ed6d26f2fe08878a0a4e019cd2b106e9514b4a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-crosstalk”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet.providers >=1.8.0”Œ
r-magrittr”Œ
r-markdown”Œr-png”Œr-raster”Œr-rcolorbrewer”Œr-scales >=1.0.0”Œr-sp”Œr-viridis >=0.5.1”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"µ3‡+hEJîl hFˆubh)”}”(hŒ	r-leaflet”h#Œ2.1.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-leaflet-2.1.2-r43hc72bb7e_1.conda”h+Œ 3d2215b60389fd1cda07a266d7cff947”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-leaflet-2.1.2-r43hc72bb7e_1.conda”h0Œ@5cc9e8de851a5c3342976892f4f13c5ceead08351b658bba543373e21b999ab8”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc”Œr-crosstalk”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet.providers >=1.8.0”Œ
r-magrittr”Œ
r-markdown”Œr-png”Œr-raster”Œr-rcolorbrewer”Œr-scales >=1.0.0”Œr-sp”Œr-viridis >=0.5.1”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"µvùÛhEJQ\ hFˆubh)”}”(hŒr-leaflet.providers”h#Œ1.9.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ-r-leaflet.providers-1.9.0-r42hc72bb7e_3.conda”h+Œ 96a815c0bba4866b6b69265a8119c4e1”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-leaflet.providers-1.9.0-r42hc72bb7e_3.conda”h0Œ@c1cb8a1b9dee9ad8fa2f3e311c6d1f2f620ddd53ff6274ad04a935e1ed654465”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGAÙ"¬2…`BhEMiÜhFˆubh)”}”(hŒr-leaflet.providers”h#Œ1.9.0”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ-r-leaflet.providers-1.9.0-r43hc72bb7e_3.conda”h+Œ c3050f3eb0e5791a56e367eac79b24d0”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-leaflet.providers-1.9.0-r43hc72bb7e_3.conda”h0Œ@3710fd65ee4d2e7b89d2a93f772f7cfe01abb52a80ee4e3d5b82b71f3667a5e9”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGAÙ"¬?éyhEM8ÜhFˆubh)”}”(hŒr-learnr”h#Œ0.11.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-learnr-0.11.4-r41hc72bb7e_0.conda”h+Œ 4c49475eb53a6bcea322c26b861d0243”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-learnr-0.11.4-r41hc72bb7e_0.conda”h0Œ@be74226fa29cb002452e393b0342fdebf9c20335cba735bf01e9297f0b358d94”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-curl”Œr-digest”Œr-ellipsis >=0.2.0.1”Œ
r-evaluate”Œr-htmltools >=0.3.5”Œr-htmlwidgets”Œ
r-jsonlite”Œr-knitr >=1.31”Œr-lifecycle”Œ
r-markdown”Œ
r-promises”Œ
r-rappdirs”Œr-renv >=0.8.0”Œr-rlang”Œr-rmarkdown >=1.12.0”Œr-rprojroot”Œr-shiny >=1.0”Œr-withr”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ§Y_²hEJÍÌ hFˆubh)”}”(hŒr-learnr”h#Œ0.11.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-learnr-0.11.4-r42hc72bb7e_0.conda”h+Œ b9cb4fa9e8c192a076949d76923c4729”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-learnr-0.11.4-r42hc72bb7e_0.conda”h0Œ@a150366a5a45edb6d60faf3d6a4e5fadadd08fbe7371726cf8f4c65f956738ef”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-curl”Œr-digest”Œr-ellipsis >=0.2.0.1”Œ
r-evaluate”Œr-htmltools >=0.3.5”Œr-htmlwidgets”Œ
r-jsonlite”Œr-knitr >=1.31”Œr-lifecycle”Œ
r-markdown”Œ
r-promises”Œ
r-rappdirs”Œr-renv >=0.8.0”Œr-rlang”Œr-rmarkdown >=1.12.0”Œr-rprojroot”Œr-shiny >=1.0”Œr-withr”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ§_ ´9hEJ¢Ð hFˆubh)”}”(hŒr-lemon”h#Œ0.4.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-lemon-0.4.6-r41hc72bb7e_0.conda”h+Œ da4e60e521ce4974ce514c222720a66d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lemon-0.4.6-r41hc72bb7e_0.conda”h0Œ@977bd6476a3e070ca12217c0d828392fc91308ed071b735cb99b7024cc53afdb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.3.0”Œr-gridextra”Œr-gtable”Œr-knitr >=1.12”Œ	r-lattice”Œr-plyr”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØâ‚šB^5hEJ×i% hFˆubh)”}”(hŒr-lemon”h#Œ0.4.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-lemon-0.4.6-r42hc72bb7e_0.conda”h+Œ 6ec91531d831d096ea7b728043fe82cb”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lemon-0.4.6-r42hc72bb7e_0.conda”h0Œ@3b2232831b2ea39ca392cf1352b666a8f554aaa87d3ba4d07f921c82b4cc3772”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.3.0”Œr-gridextra”Œr-gtable”Œr-knitr >=1.12”Œ	r-lattice”Œr-plyr”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØâ‚
=hEJ6’% hFˆubh)”}”(hŒ	r-lexicon”h#Œ1.2.1”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ#r-lexicon-1.2.1-r42hc72bb7e_4.conda”h+Œ bdc1d59435368251aa5a3354b831f837”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lexicon-1.2.1-r42hc72bb7e_4.conda”h0Œ@d00de9db5cab0b3e576e6054b44a110d61af63c33adf7be03d3361566bfc55e7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-syuzhet >=1.0.1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ#]l¬hEJÇÐ1 hFˆubh)”}”(hŒ	r-lexicon”h#Œ1.2.1”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ#r-lexicon-1.2.1-r43hc72bb7e_4.conda”h+Œ 656d40b5aada4fad10e853bf8692e90b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lexicon-1.2.1-r43hc72bb7e_4.conda”h0Œ@dec6ffc313c05c16139fffeec21291c0a0905cf3034e0e477557410e6c1f722d”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-data.table”Œr-syuzhet >=1.0.1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ#_övÉhEJÌ1 hFˆubh)”}”(hŒr-lgr”h#Œ0.4.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-lgr-0.4.4-r42hc72bb7e_2.conda”h+Œ 8b5daf57fb4da97dc3c9fbd4923e8de7”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-lgr-0.4.4-r42hc72bb7e_2.conda”h0Œ@b08458b269f86a94f30e79d2c15db8e85310185e796f8b1aa927a65b002801cd”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r6 >=2.4.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥¢H´9hEJ>ì hFˆubh)”}”(hŒr-lgr”h#Œ0.4.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-lgr-0.4.4-r43hc72bb7e_2.conda”h+Œ 48edd1ed05510d933c2890e1aafac8b0”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-lgr-0.4.4-r43hc72bb7e_2.conda”h0Œ@a3cf603e2d9088cac490956dc94dbce1f90a872c9c8c1f6545a7744df32d3588”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-r6 >=2.4.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥•(´9hEJü÷ hFˆubh)”}”(hŒr-lifecycle”h#Œ1.0.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-lifecycle-1.0.3-r42hc72bb7e_2.conda”h+Œ 5954d7c19693dcc1de33547350fcd296”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-lifecycle-1.0.3-r42hc72bb7e_2.conda”h0Œ@ce3ee29922fb60d5441f610b10655283f3f12caeb4256d3226bacea65647e8e5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.4.0”Œr-glue”Œr-rlang >=1.0.6”t”h9hºh@ŒMIT”hBŒGPL3”hDGAÙ"#ú²hEJÝ hFˆubh)”}”(hŒr-lifecycle”h#Œ1.0.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-lifecycle-1.0.3-r43hc72bb7e_2.conda”h+Œ 1f30d09e499cc9dec194c80533ec549e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-lifecycle-1.0.3-r43hc72bb7e_2.conda”h0Œ@b49fc1a97c4c4156377270092f1ed2488fe31a46bd00b8f24ec3c334547cac85”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli >=3.4.0”Œr-glue”Œr-rlang >=1.0.6”t”h9hºh@ŒMIT”hBŒGPL3”hDGAÙ"#ôÃÆ¨hEJÛ hFˆubh)”}”(hŒ	r-linprog”h#Œ0.9_4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-linprog-0.9_4-r42hc72bb7e_2.conda”h+Œ 6d0b6612d88eda321d2ae37972a56961”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-linprog-0.9_4-r42hc72bb7e_2.conda”h0Œ@3d7edc1e55416deab783db9f4ee486b742d1da69db5b992d2f064f7e82b33a2d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-lpsolve”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¬PÊÀƒhEJ]1 hFˆubh)”}”(hŒ	r-linprog”h#Œ0.9_4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-linprog-0.9_4-r43hc72bb7e_2.conda”h+Œ 6a6108e6184d5e5fe06b69402e31e640”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-linprog-0.9_4-r43hc72bb7e_2.conda”h0Œ@4a1fdd9a26011b02e491c1c6cc300e77660f86b9e11703b5d4c358ba0a72cba0”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-lpsolve”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¬B»¥ãhEJ’/ hFˆubh)”}”(hŒr-lintr”h#Œ3.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-lintr-3.0.2-r42hc72bb7e_1.conda”h+Œ b9aae96826786972c49fb6372e10aad5”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lintr-3.0.2-r42hc72bb7e_1.conda”h0Œ@c03d001892d75b6dbfab2dcd3c2994b93cf141a1e6d8c5a4c199a884e1aa2e21”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-codetools”Œr-crayon”Œr-cyclocomp”Œr-digest”Œr-glue”Œ
r-jsonlite”Œr-knitr”Œr-rex”Œr-xml2 >=1.0.0”Œr-xmlparsedata >=1.0.5”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÆzÄ(öhEJŸ hFˆubh)”}”(hŒr-lintr”h#Œ3.0.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-lintr-3.0.2-r43hc72bb7e_1.conda”h+Œ d83ce29830f47e62f58b55c475acc7a9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lintr-3.0.2-r43hc72bb7e_1.conda”h0Œ@a4e435608d965c5bef5dfa8f50dfec3369948f8a7dd90a501489034197442b93”h2NhNh3(Œr-backports”Œr-base >=4.3,<4.4.0a0”Œr-codetools”Œr-crayon”Œr-cyclocomp”Œr-digest”Œr-glue”Œ
r-jsonlite”Œr-knitr”Œr-rex”Œr-xml2 >=1.0.0”Œr-xmlparsedata >=1.0.5”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Æ†$ÝhEJ?˜ hFˆubh)”}”(hŒ	r-listenv”h#Œ0.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-listenv-0.9.0-r41hc72bb7e_0.conda”h+Œ 16b05ccb97ac8c2394238c870f125e0b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-listenv-0.9.0-r41hc72bb7e_0.conda”h0Œ@b4f5924fed68d0daab9a9a13e7be1c52425a5c02de5e21079e41d651c6e7c523”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.1”hBŒLGPL”hDGAØç.VhEJ÷Ö hFˆubh)”}”(hŒ	r-listenv”h#Œ0.9.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-listenv-0.9.0-r42hc72bb7e_0.conda”h+Œ f8856b9adf18aad0574a6cb0c0e61723”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-listenv-0.9.0-r42hc72bb7e_0.conda”h0Œ@320743ad4f1a01c517177456832e63a2b45713732836eaa930a01939c07cb9df”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.1”hBŒLGPL”hDGAØçgïžhEJmÖ hFˆubh)”}”(hŒ	r-listenv”h#Œ0.9.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-listenv-0.9.0-r42hc72bb7e_1.conda”h+Œ 0f797d7dec744552aec6f46acd37919b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-listenv-0.9.0-r42hc72bb7e_1.conda”h0Œ@03d624082e44c92e2afe4cc185e7a46a898ca7aa5d78224b3317389ecd2220d7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.1”hBŒLGPL”hDGAÙ"s’ŸïžhEJÙ hFˆubh)”}”(hŒ	r-listenv”h#Œ0.9.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-listenv-0.9.0-r43hc72bb7e_1.conda”h+Œ 6850e7716a76cee313c82d62bf51cd75”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-listenv-0.9.0-r43hc72bb7e_1.conda”h0Œ@00405387339a759541c9d65c0f17f5317a0ebd43f898b6a926270822bad9f53f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLGPL-2.1”hBŒLGPL”hDGAÙ"sš¼“hEJt× hFˆubh)”}”(hŒ	r-lmeinfo”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-lmeinfo-0.3.2-r41hc72bb7e_0.conda”h+Œ 86b327d32bb74cf6d8d3218e7dbc462b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lmeinfo-0.3.2-r41hc72bb7e_0.conda”h0Œ@ad6d75db2ed218801ea276083e640c632d180b462c3cf51ec8022ec2d53662d4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-nlme”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙE–†¸RhEJ2` hFˆubh)”}”(hŒ	r-lmeinfo”h#Œ0.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-lmeinfo-0.3.2-r42hc72bb7e_0.conda”h+Œ aeda1d1b47d0ca9cee183c18a9a6169c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lmeinfo-0.3.2-r42hc72bb7e_0.conda”h0Œ@4767acaf020e3a157d85bf8feb386b8b3bd7a9027ef46422df62b5bd947cbab7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-nlme”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙE—I7LhEJa hFˆubh)”}”(hŒ
r-lmertest”h#Œ3.1_3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-lmertest-3.1_3-r42hc72bb7e_2.conda”h+Œ 9c76c0528ffa855db2475aeeb5138360”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-lmertest-3.1_3-r42hc72bb7e_2.conda”h0Œ@fa1fd569cc7e685bea5fee6acf7e0ffb41fc2b728b03fe9560df99c53235c00b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-lme4 >=1.1_10”Œr-mass”Œ
r-numderiv”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"¬)Ú-hEJ£5 hFˆubh)”}”(hŒ
r-lmertest”h#Œ3.1_3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-lmertest-3.1_3-r43hc72bb7e_2.conda”h+Œ d59f5b8a8878346ffc71dcf84d476556”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-lmertest-3.1_3-r43hc72bb7e_2.conda”h0Œ@6f7cb657bd35f8575980a1c51001ffd96635f758318fa42e2d1c6426cc7518a6”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-ggplot2”Œr-lme4 >=1.1_10”Œr-mass”Œ
r-numderiv”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"¬-N—hEJÕA hFˆubh)”}”(hŒr-lmomco”h#Œ2.4.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-lmomco-2.4.9-r41hc72bb7e_0.conda”h+Œ 6549671297485ce34797eb4d59fa3657”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmomco-2.4.9-r41hc72bb7e_0.conda”h0Œ@bcd0a5262159fd8568e399046994922881737de2eb93f34ec4a853790258ef93”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-goftest”Œ
r-lmoments”Œr-mass”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙd¹h  hEJt2 hFˆubh)”}”(hŒr-lmomco”h#Œ2.4.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-lmomco-2.4.9-r42hc72bb7e_0.conda”h+Œ 26afc9ee3cba2d6feb68ca145d02a1b2”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmomco-2.4.9-r42hc72bb7e_0.conda”h0Œ@a3038b39fe7843c4bb2c834ac8e3c75499e6cddb3f5a1466064f888448b33b37”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-goftest”Œ
r-lmoments”Œr-mass”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙd½©XhEJ¿ô1 hFˆubh)”}”(hŒr-lmomco”h#Œ2.4.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-lmomco-2.4.9-r42hc72bb7e_1.conda”h+Œ 8d1f19ab2dc95aaaf2440bac0c1e9bbd”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmomco-2.4.9-r42hc72bb7e_1.conda”h0Œ@18ad58dcf744be6e6e1dffd13058e3a3a57c5f2c92c5705da809416755ebe415”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-goftest”Œ
r-lmoments”Œr-mass”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"òD=hEJ°â1 hFˆubh)”}”(hŒr-lmomco”h#Œ2.4.9”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-lmomco-2.4.9-r43hc72bb7e_1.conda”h+Œ 15189e1db05b1a6561fc692661422021”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmomco-2.4.9-r43hc72bb7e_1.conda”h0Œ@5cd14ee36c781120c5f1bb50ae822fe3a1b02c6280e087fe5a18487ab0fc4105”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-goftest”Œ
r-lmoments”Œr-mass”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"òEÍó¶hEJ]µ1 hFˆubh)”}”(hŒr-loader.2nc”h#Œ0.1.2”h%Œr36ha770c72_2”h'Khhh(h)hŒ&r-loader.2nc-0.1.2-r36ha770c72_2.conda”h+Œ e65ccbfa588b67dd46743afb54f4ea71”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-loader.2nc-0.1.2-r36ha770c72_2.conda”h0Œ@c96f7333dd3150686ad45ebb3d41f0cc45757cec16801eae0979e945ae13ec8d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-ncdf4”Œr-transformer”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÔÑñ7LhEJ5eH hFˆubh)”}”(hŒr-loader.2nc”h#Œ0.1.2”h%Œr40ha770c72_2”h'Khhh(h)hŒ&r-loader.2nc-0.1.2-r40ha770c72_2.conda”h+Œ 0bc9f051b9ed947550a429a0ad84f9b9”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-loader.2nc-0.1.2-r40ha770c72_2.conda”h0Œ@40be520b3617b094a1a3e9648044a3e1c07cd87e2e5baa5cca9a4c6a6823f830”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ncdf4”Œr-transformer”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÔÒzÐåhEJÙeH hFˆubh)”}”(hŒr-loader.2nc”h#Œ0.1.2”h%Œr41ha770c72_2”h'Khhh(h)hŒ&r-loader.2nc-0.1.2-r41ha770c72_2.conda”h+Œ fc42fbfef8e1a5487291385364303888”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-loader.2nc-0.1.2-r41ha770c72_2.conda”h0Œ@7b724491546eb63ee50926ec71b4be6f0d105c5a6503740a129c3e3531a20cd0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ncdf4”Œr-transformer”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÔÊ"\hEJAeH hFˆubh)”}”(hŒr-loader.2nc”h#Œ0.1.2”h%Œr42ha770c72_2”h'Khhh(h)hŒ&r-loader.2nc-0.1.2-r42ha770c72_2.conda”h+Œ 20b1b56bcdc9b5854a3aec6d3160bc35”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-loader.2nc-0.1.2-r42ha770c72_2.conda”h0Œ@d8e928779e4e27ca79909d5bab53f57f01bbe0c673166aaeedb059acca70925e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ncdf4”Œr-transformer”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÔÂi™šhEJ7fH hFˆubh)”}”(hŒr-loader.java”h#Œ1.1.1”h%Œr42ha770c72_3”h'Khhh(h)hŒ'r-loader.java-1.1.1-r42ha770c72_3.conda”h+Œ 0fd13faea2ea073eeba310b4bc728576”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-loader.java-1.1.1-r42ha770c72_3.conda”h0Œ@fc673fd1697c12351d52fd104017ac4fb8036ec2eafc5e176a81d742001d91e1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"ûë¶FhEJÉã"hFˆubh)”}”(hŒr-loader.java”h#Œ1.1.1”h%Œr43ha770c72_3”h'Khhh(h)hŒ'r-loader.java-1.1.1-r43ha770c72_3.conda”h+Œ 17f53a9d76fa0ab7bf8425f79560cb17”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-loader.java-1.1.1-r43ha770c72_3.conda”h0Œ@4063b7ea83fcd3067fe456c13d5bba6286d4632ece622d71c2192a8eec84bf98”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"û’F§ðhEJs #hFˆubh)”}”(hŒr-logger”h#Œ0.2.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-logger-0.2.2-r42hc72bb7e_2.conda”h+Œ 980b2c8a7ffc74b31e4a1fbd29e28436”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-logger-0.2.2-r42hc72bb7e_2.conda”h0Œ@c6b71eff1b9fcd5bd1366a517700a94086d636609ccdb2145c033670d9d597b0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAÙ"ÓX‡+hEJ	¿ hFˆubh)”}”(hŒr-logger”h#Œ0.2.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-logger-0.2.2-r43hc72bb7e_2.conda”h+Œ ad29a44ce44f432a6a128e603fa70875”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-logger-0.2.2-r43hc72bb7e_2.conda”h0Œ@f0876b40a25dc54f6a03ab23480c696ee6583255ffa0113fe48215957f3556c1”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAÙ"ÓH&hEJ¾¼ hFˆubh)”}”(hŒr-longcateda”h#Œ0.31”h%Œr41h785f33e_0”h'K hhh(h)hŒ%r-longcateda-0.31-r41h785f33e_0.conda”h+Œ b043219a49d11068bfbc25d62a9e7bbb”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-longcateda-0.31-r41h785f33e_0.conda”h0Œ@d6601161f60062cd2b2ccceb35ac33e63ca049cf8eb5b23e2d3c7e3da1849e60”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØàÙ‘©ühEJJ hFˆubh)”}”(hŒr-longcateda”h#Œ0.31”h%Œr42h785f33e_0”h'K hhh(h)hŒ%r-longcateda-0.31-r42h785f33e_0.conda”h+Œ aea67cfd662fe6828af80a19526ba4ae”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-longcateda-0.31-r42h785f33e_0.conda”h0Œ@30afdff5824d6b224b8a6ce331e0633fba62f093dde97476e6a5ff62948c3296”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØàÙOß;hEJ‡ hFˆubh)”}”(hŒr-longitudinal”h#Œ1.1.13”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-longitudinal-1.1.13-r42hc72bb7e_2.conda”h+Œ 8807c213322d2f6dc7466c6b2f74e908”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-longitudinal-1.1.13-r42hc72bb7e_2.conda”h0Œ@35c367db5671f79b052494cce6f75eebf33f4106b7c7d78370e3a60dc197c7cc”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-corpcor >=1.6.8”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÙ#[×
hEJ±„ hFˆubh)”}”(hŒr-longitudinal”h#Œ1.1.13”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ)r-longitudinal-1.1.13-r43hc72bb7e_2.conda”h+Œ 35b28ba123452424ea561b6490cfd48f”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-longitudinal-1.1.13-r43hc72bb7e_2.conda”h0Œ@34d0c4649c12abd710d9d1c6305c7d4b84fa8bc84f56ced883ac4ed7c7e2b763”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-corpcor >=1.6.8”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÙ#‰5?}hEJG„ hFˆubh)”}”(hŒr-longitudinaldata”h#Œ2.4.5”h%Œr41h785f33e_0”h'K hhh(h)hŒ,r-longitudinaldata-2.4.5-r41h785f33e_0.conda”h+Œ 75427500a6968affed46703253bec963”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-longitudinaldata-2.4.5-r41h785f33e_0.conda”h0Œ@9349c84bed799b06f3a6812ec91cd6912e16498e5b03ac1499416b9a14ffc020”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-class”Œr-clv”Œr-misc3d”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØùs6[hEJ b hFˆubh)”}”(hŒr-longitudinaldata”h#Œ2.4.5”h%Œr42h785f33e_0”h'K hhh(h)hŒ,r-longitudinaldata-2.4.5-r42h785f33e_0.conda”h+Œ e88f4f97239a6508064146a16b15ab4e”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-longitudinaldata-2.4.5-r42h785f33e_0.conda”h0Œ@b0c848864ecfa9fcd9ac5283c947019428d203b6c3de55d5e97bfd5cfdbe28d8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-class”Œr-clv”Œr-misc3d”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØùsKÌÍhEJUc hFˆubh)”}”(hŒr-longitudinaldata”h#Œ2.4.5”h%Œr42h785f33e_1”h'Khhh(h)hŒ,r-longitudinaldata-2.4.5-r42h785f33e_1.conda”h+Œ 92661ad6b681e867d92d4cce2d7a3e6c”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-longitudinaldata-2.4.5-r42h785f33e_1.conda”h0Œ@83aa79c5defa445baf1422ff73362019617baba4bde477789b124a00ea0bb8bb”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-class”Œr-clv”Œr-misc3d”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æ”Û•hEJ!f hFˆubh)”}”(hŒr-longitudinaldata”h#Œ2.4.5”h%Œr43h785f33e_1”h'Khhh(h)hŒ,r-longitudinaldata-2.4.5-r43h785f33e_1.conda”h+Œ 3957ed64b3ff810ea91161945167ff3a”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-longitudinaldata-2.4.5-r43h785f33e_1.conda”h0Œ@e6c66acf4a7ab72d3cb424e0f181ffb2176b40c79c692666d0f53a7bebfbeba3”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-class”Œr-clv”Œr-misc3d”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æ™®VhEJ4… hFˆubh)”}”(hŒr-loo”h#Œ2.6.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-loo-2.6.0-r41hc72bb7e_0.conda”h+Œ d4b8b640c433244074c1ef63a77c86a3”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-loo-2.6.0-r41hc72bb7e_0.conda”h0Œ@ece05f0de9fdb59cb1411c237754aa43b12ee2cb20fd6933304d8e7fd80ba1d2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-matrixstats >=0.52”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ	¯6˜£×hEJ~' hFˆubh)”}”(hŒr-loo”h#Œ2.6.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-loo-2.6.0-r42hc72bb7e_0.conda”h+Œ 53c0d32e281798f60f7f7226c03cc7a4”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-loo-2.6.0-r42hc72bb7e_0.conda”h0Œ@dd79ad213dd9560d957158b1ffb0e88862e4916a7e6c13e538337904c3e974b1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-matrixstats >=0.52”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ	¯H“çmhEJ " hFˆubh)”}”(hŒr-loo”h#Œ2.6.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-loo-2.6.0-r42hc72bb7e_1.conda”h+Œ 0f7e66faa4d2fad08a343d335634836e”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-loo-2.6.0-r42hc72bb7e_1.conda”h0Œ@b7d102b76086284831def26aa0f66eb02b84889ef5f5178025b649cd1ec20d43”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-matrixstats >=0.52”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"¥Xë33hEJv- hFˆubh)”}”(hŒr-loo”h#Œ2.6.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-loo-2.6.0-r43hc72bb7e_1.conda”h+Œ 05fc6d6b61f60617376bc5ccb2087ce6”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-loo-2.6.0-r43hc72bb7e_1.conda”h0Œ@0d0e1795a087ea33908fe73db2381f99750dd4cd5c50c3cd41a27ebe6a4ca92d”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-checkmate”Œr-matrixstats >=0.52”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"¥d^5?hEJe$ hFˆubh)”}”(hŒr-loon”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-loon-1.4.1-r42hc72bb7e_0.conda”h+Œ c5300db96e4b77a3310c5368d8a52725”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-loon-1.4.1-r42hc72bb7e_0.conda”h0Œ@98b1e19260fb19ea20539e7f008cff1a74d6b1a99d4ed9c16c0c7859fb2addf7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-gridextra”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÖžéyhEJû* hFˆubh)”}”(hŒr-ltmle”h#Œ1.3_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ltmle-1.3_0-r41hc72bb7e_0.conda”h+Œ 1063ba30d97b54419499024406bbcbb2”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ltmle-1.3_0-r41hc72bb7e_0.conda”h0Œ@73cc3ab332f199053e270a07080bbe74c124e6ebce459e08f9e2f38f09137273”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”Œr-matrixstats”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ*‡hEJë  hFˆubh)”}”(hŒr-ltmle”h#Œ1.3_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-ltmle-1.3_0-r42hc72bb7e_0.conda”h+Œ d00d87bda3ec8448e7195730eb6228c2”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ltmle-1.3_0-r42hc72bb7e_0.conda”h0Œ@974c4d124fb44c395eeea5a719fa9ac7e9bd5b24c0b10ee2e7f956d64c652ec6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”Œr-matrixstats”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ*ß+hEJß hFˆubh)”}”(hŒr-magic”h#Œ1.6_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-magic-1.6_1-r42hc72bb7e_1.conda”h+Œ d2f5462a08e71257fbb7ccc5035d1166”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-magic-1.6_1-r42hc72bb7e_1.conda”h0Œ@6c7abc1744b6ed3f20bf5cbb49bfada0eb24074ae84636a1d992091d157bf9c7”h2NhNh3Œr-abind”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"‹>záhEJOH hFˆubh)”}”(hŒr-magic”h#Œ1.6_1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-magic-1.6_1-r43hc72bb7e_1.conda”h+Œ 2c457deb1da073d5b79c1f496a9f8bac”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-magic-1.6_1-r43hc72bb7e_1.conda”h0Œ@e884967d1489f0c05515197c4e266147c698cc8daa55a2265d61308dcb0d72ea”h2NhNh3Œr-abind”Œr-base >=4.3,<4.4.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"‹/‘hhEJëC hFˆubh)”}”(hŒr-manipulatewidget”h#Œ0.11.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ-r-manipulatewidget-0.11.1-r42hc72bb7e_2.conda”h+Œ 24f436920d3abef0be48f2ca03f4b4a3”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-manipulatewidget-0.11.1-r42hc72bb7e_2.conda”h0Œ@ffca2762c9467d245611543537aa5a85ee6480994c1d930d95a37ed5c233508d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-codetools”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-miniui”Œr-shiny >=1.0.3”Œ	r-shinyjs”Œ	r-webshot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"´Ö¡ËhEJy%% hFˆubh)”}”(hŒr-manipulatewidget”h#Œ0.11.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ-r-manipulatewidget-0.11.1-r43hc72bb7e_2.conda”h+Œ 520679a2eece0c4354c3183953dbbd57”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-manipulatewidget-0.11.1-r43hc72bb7e_2.conda”h0Œ@325cd5d15d173e2768a511339ab3e3712f7d9fe2c2c31778f93df0e96c382329”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc”Œr-codetools”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-miniui”Œr-shiny >=1.0.3”Œ	r-shinyjs”Œ	r-webshot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"´ºÕó¶hEJRB% hFˆubh)”}”(hŒr-marginaleffects”h#Œ0.10.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-marginaleffects-0.10.0-r41hc72bb7e_0.conda”h+Œ 8b098d8166b14796f35e7815e120f906”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-marginaleffects-0.10.0-r41hc72bb7e_0.conda”h0Œ@a88bfaabe52524293b4276aa1e766b02588cee4efa67dfe7acc40aca50317f42”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œ
r-generics”Œr-insight >=0.17.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØý†¨8“uhEJ„‡ hFˆubh)”}”(hŒr-marginaleffects”h#Œ0.10.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ,r-marginaleffects-0.10.0-r42hc72bb7e_0.conda”h+Œ 78a960fb556e8765e0a361488306d06a”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-marginaleffects-0.10.0-r42hc72bb7e_0.conda”h0Œ@5133c34238fa4e397d3301bd3effc17417169045a60832a12eb9315910abaae0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œ
r-generics”Œr-insight >=0.17.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØý†±RMÓhEJfŒ hFˆubh)”}”(hŒ
r-markdown”h#Œ1.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-markdown-1.7-r41hc72bb7e_0.conda”h+Œ c6b636efd60847280f0fbe4bce486636”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-markdown-1.7-r41hc72bb7e_0.conda”h0Œ@10ec4ad8ff836b1ba7d9176af6e949c59aacf3f073d38689b02787b980148876”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-commonmark”Œr-mime >=0.3”Œr-xfun”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÝ>æ¸RhEJg¸ hFˆubh)”}”(hŒ
r-markdown”h#Œ1.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-markdown-1.7-r42hc72bb7e_0.conda”h+Œ d7aa590e41a61cd116b66fb950822204”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-markdown-1.7-r42hc72bb7e_0.conda”h0Œ@09d3799220d30ffbeb3db19df42309a295111c22a4a291cd012a8f5acf1342ac”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-commonmark”Œr-mime >=0.3”Œr-xfun”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÝBd‹DhEJË» hFˆubh)”}”(hŒ
r-markdown”h#Œ1.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-markdown-1.7-r42hc72bb7e_1.conda”h+Œ 89c2545a6240083f39ae62fffb71e64f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-markdown-1.7-r42hc72bb7e_1.conda”h0Œ@70732d75bd063bd80e0afc2fbabf4ee8810680e86de752d9e9af2d8eb157cda9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-commonmark”Œr-mime >=0.3”Œr-xfun”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"~å#çmhEJ¹¹ hFˆubh)”}”(hŒ
r-markdown”h#Œ1.7”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-markdown-1.7-r43hc72bb7e_1.conda”h+Œ 7c2aed6c51a0c141b44141469fbcddfa”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-markdown-1.7-r43hc72bb7e_1.conda”h0Œ@6936e8bb8d0d43be218bd3bdb765786c62485e57281f5743586710b97ab51f9e”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-commonmark”Œr-mime >=0.3”Œr-xfun”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"~ÔŽhEJÖ¶ hFˆubh)”}”(hŒ
r-mathjaxr”h#Œ1.6_0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-mathjaxr-1.6_0-r42hc72bb7e_2.conda”h+Œ 75324f55b2a4e8044733976758205d54”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mathjaxr-1.6_0-r42hc72bb7e_2.conda”h0Œ@bf89b5bdceeee76b01e84f98df5e95f695d8c97299081c141a5768712265c927”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¹¥¡ËhEJº’	 hFˆubh)”}”(hŒ
r-mathjaxr”h#Œ1.6_0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-mathjaxr-1.6_0-r43hc72bb7e_2.conda”h+Œ 121f73758f99caa8b803b13b0627c70b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mathjaxr-1.6_0-r43hc72bb7e_2.conda”h0Œ@6164fffe2133a3b01886840f812595e4c824b0cd6550da3144dc563e3cea430c”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¹Ö5?hEJY“	 hFˆubh)”}”(hŒr-matlib”h#Œ0.9.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-matlib-0.9.6-r41hc72bb7e_0.conda”h+Œ fb400a3ce512bb973d0481350d8a7764”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-matlib-0.9.6-r41hc72bb7e_0.conda”h0Œ@81fe4a22df7de876b315e5c6064e027cbd9c45e8b70dcbfbfef23bf5bace85b5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œr-mass”Œr-rgl”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØä±…_®hEJ«I hFˆubh)”}”(hŒr-matlib”h#Œ0.9.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-matlib-0.9.6-r42hc72bb7e_0.conda”h+Œ 4f34bdf9ba1514741aebda7f7faf18bf”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-matlib-0.9.6-r42hc72bb7e_0.conda”h0Œ@9675c6e4f91dd32a7b44fe041c0d5af9a622aa250a0dda2e24495155132b8133”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œr-mass”Œr-rgl”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØä±Ž’-hEJJN hFˆubh)”}”(hŒr-matrixcalc”h#Œ1.0_6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-matrixcalc-1.0_6-r42hc72bb7e_2.conda”h+Œ b44ba77b5b7eece7c069ddd09c707556”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-matrixcalc-1.0_6-r42hc72bb7e_2.conda”h0Œ@59e0160d15ae1eb8e8fecc560eda32babcf8425a71817ea19d3397c74c0a158d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÁP8r°hEJö[ hFˆubh)”}”(hŒr-matrixcalc”h#Œ1.0_6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-matrixcalc-1.0_6-r43hc72bb7e_2.conda”h+Œ 2ffa9bb28cff3224729877b6e51e1304”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-matrixcalc-1.0_6-r43hc72bb7e_2.conda”h0Œ@9a86e9f885b487f69682802b898da2d2943953f07cfa951238b15510c2a5f64d”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Á[ŽVhEJV hFˆubh)”}”(hŒr-matrixmodels”h#Œ0.5_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-matrixmodels-0.5_1-r42hc72bb7e_1.conda”h+Œ 8c4a299a5fc3d7b4c5b5a387b08c6e3b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-matrixmodels-0.5_1-r42hc72bb7e_1.conda”h0Œ@50f57c76f9fbfc95640d3bb61987612987cd8efff6faa9748a7179982ecc4024”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix >=1.1_5”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"„
vVhEJ” hFˆubh)”}”(hŒr-matrixmodels”h#Œ0.5_1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-matrixmodels-0.5_1-r43hc72bb7e_1.conda”h+Œ d7d13784c1e7f834ae3fc644da56a0af”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-matrixmodels-0.5_1-r43hc72bb7e_1.conda”h0Œ@4f6d087bed42ca2fffbb407b207e74dbffce3b7ad8f90f0c977b1bfb5e97850c”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-matrix >=1.1_5”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"„‚~úhEJ€ hFˆubh)”}”(hŒr-matrixtests”h#Œ0.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-matrixtests-0.2.2-r41hc72bb7e_0.conda”h+Œ cd15061d779f4dd0c1ecebbbd888e429”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-matrixtests-0.2.2-r41hc72bb7e_0.conda”h0Œ@ea292e7f703ccc1420d2b37c6f074523a06e9fa0a2b681ca1f9c3eca71b096ec”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrixstats”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙû@u/hEJ# hFˆubh)”}”(hŒr-matrixtests”h#Œ0.2.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-matrixtests-0.2.2-r42hc72bb7e_0.conda”h+Œ c5666438f4a694e38c901fad2eea1ff8”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-matrixtests-0.2.2-r42hc72bb7e_0.conda”h0Œ@fafc0fdf4a8911f1ac3352521c8ffaa6dde8fbecebed0eb7a838dbff21ab1603”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrixstats”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙûJi‰7hEJa$ hFˆubh)”}”(hŒr-maxlik”h#Œ1.5_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-maxlik-1.5_2-r42hc72bb7e_2.conda”h+Œ 3ffb19435e76a10300c0991419d87c5e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-maxlik-1.5_2-r42hc72bb7e_2.conda”h0Œ@616aaa2dd2c6cc2cc6d251ad4dcdb06ae7ed2e2182f4c1b1cc7bc6737f53806c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-generics”Œr-misctools >=0.6_8”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ò)[hEJ¸© hFˆubh)”}”(hŒr-maxlik”h#Œ1.5_2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-maxlik-1.5_2-r43hc72bb7e_2.conda”h+Œ 765db88cab6f946b3d23320f4eed88a9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-maxlik-1.5_2-r43hc72bb7e_2.conda”h0Œ@a2e2c206dd71cb4e123718b244156750ca1f0cd8ad4acdbc5858dab3979f6d20”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ
r-generics”Œr-misctools >=0.6_8”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ò>“¥ãhEJ²¸ hFˆubh)”}”(hŒr-maxnet”h#Œ0.1.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-maxnet-0.1.4-r42hc72bb7e_2.conda”h+Œ 07381e5a91eb4427ca3d0e443cc911c5”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-maxnet-0.1.4-r42hc72bb7e_2.conda”h0Œ@8aa1b1876117eb9bab3c80da40a25272872fd4cb6221338956d36d84124bd6ef”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-glmnet”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#hƒhEJ»$ hFˆubh)”}”(hŒr-maxnet”h#Œ0.1.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-maxnet-0.1.4-r43hc72bb7e_2.conda”h+Œ 5502bc629a224f42a5d406cd3f3510b5”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-maxnet-0.1.4-r43hc72bb7e_2.conda”h0Œ@4977e42282e3dd3b3f004b7c02b24d2cddc287944e65b8679ced88628c772c67”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-glmnet”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#FhEJ% hFˆubh)”}”(hŒr-mbess”h#Œ4.9.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-mbess-4.9.2-r42hc72bb7e_2.conda”h+Œ c1e4864c3ee7dc207e1ec520d557078d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mbess-4.9.2-r42hc72bb7e_2.conda”h0Œ@179101beccc7c0f008495065a03a2d556e7e3f7fddaf1ab707d193e6d9d077ea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-gsl”Œr-lavaan”Œr-mass”Œr-mnormt”Œr-nlme”Œr-openmx”Œr-sem”Œ
r-semtools”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#ˆƒohEJ’ï hFˆubh)”}”(hŒr-mbess”h#Œ4.9.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-mbess-4.9.2-r43hc72bb7e_2.conda”h+Œ dce7d8ce2cfe93a1f51c3e5f2d44c31c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mbess-4.9.2-r43hc72bb7e_2.conda”h0Œ@ceb4bfb7e78e5b4c2c49ae75e6efa1129fa3a5e703529fad84d63f3e72fc27f0”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-boot”Œr-gsl”Œr-lavaan”Œr-mass”Œr-mnormt”Œr-nlme”Œr-openmx”Œr-sem”Œ
r-semtools”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#}²hEJÜ hFˆubh)”}”(hŒr-mbsts”h#Œ3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-mbsts-3.0-r41hc72bb7e_0.conda”h+Œ cee9b96e9f6707614ab83e2ab1be647f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mbsts-3.0-r41hc72bb7e_0.conda”•      h0Œ@c925a7a930243b1de4da78a8549b5fd146c0d2d2979c0d5a961aba457d6aac8e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbmisc”Œ	r-ggplot2”Œr-kfas”Œr-mass”Œr-matrix”Œr-matrixstats”Œ
r-mcmcpack”Œr-pscl”Œ
r-reshape2”t”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAØîJóYhshEJRÀ hFˆubh)”}”(hŒr-mbsts”h#Œ3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-mbsts-3.0-r42hc72bb7e_0.conda”h+Œ f8992d408cd1a81c5712ed20148f92c0”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mbsts-3.0-r42hc72bb7e_0.conda”h0Œ@0a093c5d9da928bce039b184f59580828e8640dcbac67d0fdfa12c54f6307b27”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bbmisc”Œ	r-ggplot2”Œr-kfas”Œr-mass”Œr-matrix”Œr-matrixstats”Œ
r-mcmcpack”Œr-pscl”Œ
r-reshape2”t”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAØîJÿÙhEJÂ hFˆubh)”}”(hŒr-mc2d”h#Œ0.1_22”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-mc2d-0.1_22-r41hc72bb7e_0.conda”h+Œ 943038728c7446cc663b2229f705a59e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mc2d-0.1_22-r41hc72bb7e_0.conda”h0Œ@dbbdea81cc976ba785e234f1426b598ee344efd2bfe048901dcae087f47dd89d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-mvtnorm”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÞ±ºKohEJùâ hFˆubh)”}”(hŒr-mc2d”h#Œ0.1_22”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-mc2d-0.1_22-r42hc72bb7e_0.conda”h+Œ 6f2794dccb8304a732fc5e410507bce6”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mc2d-0.1_22-r42hc72bb7e_0.conda”h0Œ@86d274aeb783bd5918f21e3a0a606a2636e5abfb54a4eee5267257a9a5289d1f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-mvtnorm”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÞ±¦	Û#hEJ á hFˆubh)”}”(hŒr-mc2d”h#Œ0.1_22”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-mc2d-0.1_22-r42hc72bb7e_1.conda”h+Œ 51fe6d6007e7ac71e97d15078a8aa114”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mc2d-0.1_22-r42hc72bb7e_1.conda”h0Œ@37924b130dc43e5d1ef483e4a5679c88e036243934b37726cf271d76291388a4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-mvtnorm”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æl3C–hEJ=ê hFˆubh)”}”(hŒr-mc2d”h#Œ0.1_22”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-mc2d-0.1_22-r43hc72bb7e_1.conda”h+Œ 746795b629c69d4a1ff3eb4dd380f7f1”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mc2d-0.1_22-r43hc72bb7e_1.conda”h0Œ@d3f7f270699ff5c3d01aa63bea7c415070bce202956c7ad2c12d840edb7e6515”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-mvtnorm”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æe33hEJ9ç hFˆubh)”}”(hŒ	r-mclogit”h#Œ0.9.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-mclogit-0.9.6-r41hc72bb7e_0.conda”h+Œ 7eec1bab2326674371421c780c72abdd”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mclogit-0.9.6-r41hc72bb7e_0.conda”h0Œ@1c673922ebee10a5aa9b5060daae0fa2a68a769286e291126659ec27592d0cac”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”Œr-memisc”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ “ÎŸ;dhEJ—‰ hFˆubh)”}”(hŒ	r-mclogit”h#Œ0.9.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-mclogit-0.9.6-r42hc72bb7e_0.conda”h+Œ a2d999633ddf9ef577f7eab60a2be3b6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mclogit-0.9.6-r42hc72bb7e_0.conda”h0Œ@6354a1cf0d020196878a96ecfdffa0ebe0a5137d3ca82166826acd780c0f5b89”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”Œr-memisc”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ “ÎBŸ¾hEJÑ† hFˆubh)”}”(hŒr-measurements”h#Œ1.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-measurements-1.5.1-r41hc72bb7e_0.conda”h+Œ 00286f7c15bad6c191cdbc5ad8245834”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-measurements-1.5.1-r41hc72bb7e_0.conda”h0Œ@71e737b70323db9794f4283b378e42c5e82fc93bd479ff4b220e5d620b5d52d2”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙlF¸RhEM3ÑhFˆubh)”}”(hŒr-measurements”h#Œ1.5.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-measurements-1.5.1-r42hc72bb7e_0.conda”h+Œ 53c533f1294aa0e500b0b153a10177c1”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-measurements-1.5.1-r42hc72bb7e_0.conda”h0Œ@607f61517b1011e78684d0481bfd062584a96253acd0ad88b78b3c0e7007ff88”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙZkohEMUÐhFˆubh)”}”(hŒ	r-memoise”h#Œ2.0.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-memoise-2.0.1-r42hc72bb7e_2.conda”h+Œ b463525f1d20873104e8d738c8e28b5e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-memoise-2.0.1-r42hc72bb7e_2.conda”h0Œ@d900dbfbc84d78ebddeba39d8481d8e1be8cc78fa6de2b4fb469096f30d94401”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-cachem”Œr-rlang >=0.4.10”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"}½n˜hEM¦ÛhFˆubh)”}”(hŒ	r-memoise”h#Œ2.0.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-memoise-2.0.1-r43hc72bb7e_2.conda”h+Œ 6520452e207d8f9bab9f21492f88c48b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-memoise-2.0.1-r43hc72bb7e_2.conda”h0Œ@a563bd856ffac75d634eed2d28a9ad5b13c55379a2afd054390d76b2910ef03c”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-cachem”Œr-rlang >=0.4.10”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"}¼Çß;hEM9ÚhFˆubh)”}”(hŒ
r-mertools”h#Œ0.6.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-mertools-0.6.1-r41hc72bb7e_0.conda”h+Œ 86012f7c5ef8cf29010aeb03356f29e5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mertools-0.6.1-r41hc72bb7e_0.conda”h0Œ@8d72254616a40c1f8f6abf8b102fd2242bb60ab7d9624ee45b04b68039fa2a4e”h2NhNh3(Œr-abind”Œr-arm”Œr-base >=4.1,<4.2.0a0”Œr-blme”Œr-broom”Œr-broom.mixed”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-lme4 >=1.1_11”Œ	r-mvtnorm”Œr-shiny”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ6P—PhEJÅ 
 hFˆubh)”}”(hŒ
r-mertools”h#Œ0.6.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-mertools-0.6.1-r42hc72bb7e_0.conda”h+Œ e362e6f89d3e10e773e2776532819984”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mertools-0.6.1-r42hc72bb7e_0.conda”h0Œ@a12e6592382356acf633ffe7b7d04e584747c2991acc7160db918095a6d193fc”h2NhNh3(Œr-abind”Œr-arm”Œr-base >=4.2,<4.3.0a0”Œr-blme”Œr-broom”Œr-broom.mixed”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-lme4 >=1.1_11”Œ	r-mvtnorm”Œr-shiny”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ6R hEJ2
 hFˆubh)”}”(hŒr-meta”h#Œ6.5_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-meta-6.5_0-r41hc72bb7e_0.conda”h+Œ f6163a9ff2c3a610dd55d0e3c2d6c46d”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-meta-6.5_0-r41hc72bb7e_0.conda”h0Œ@4050c00ba3c5884e666e592a83da7e3e788439163144f7a22d0f56a12c68403a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-compquadform”Œr-lme4”Œr-metafor >=2.1_0”Œr-xml2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ ¥Í¸hEJžV hFˆubh)”}”(hŒr-meta”h#Œ6.5_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-meta-6.5_0-r42hc72bb7e_0.conda”h+Œ 2e0f99b11ceb2279ee2696fe0a0bbf5c”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-meta-6.5_0-r42hc72bb7e_0.conda”h0Œ@c1c398e519f565eaebf1948c40e70e3f8b9d0b1af999fb4570e439431523770e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-compquadform”Œr-lme4”Œr-metafor >=2.1_0”Œr-xml2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ ®ƒÆ¨hEJ¬S hFˆubh)”}”(hŒ	r-metadat”h#Œ1.2_0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-metadat-1.2_0-r42hc72bb7e_2.conda”h+Œ 4af3dedd2bd0dd5d0ae4da836fe08672”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metadat-1.2_0-r42hc72bb7e_2.conda”h0Œ@15228cb28e4cb9e67eac301f2f097ea1aaf95e2d716cba447acd2e2de92688e1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-mathjaxr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ÙÚ‘©ühEJò× hFˆubh)”}”(hŒ	r-metadat”h#Œ1.2_0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-metadat-1.2_0-r43hc72bb7e_2.conda”h+Œ 636826471effdb9807392b4d05a140f2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metadat-1.2_0-r43hc72bb7e_2.conda”h0Œ@99e277e9a98305ad2c28ec28ca1de1530b6f44b43ef1fafbdb12f5ab5da502cb”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ
r-mathjaxr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"Ùà{hEJ*Ð hFˆubh)”}”(hŒ	r-metafor”h#Œ4.2_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-metafor-4.2_0-r41hc72bb7e_0.conda”h+Œ a1567f8a8e65767fd9b4162155f9e7f2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metafor-4.2_0-r41hc72bb7e_0.conda”h0Œ@a0647b4fad5b643f5bae2cde17216d149485b9e3888f72164178b5c229995d9f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-mathjaxr”Œr-matrix”Œ	r-metadat”Œr-nlme”Œ
r-numderiv”Œ	r-pbapply”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙEÆ\)hEJK4J hFˆubh)”}”(hŒ	r-metafor”h#Œ4.2_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-metafor-4.2_0-r42hc72bb7e_0.conda”h+Œ 0bf2d54289cdfdc29eb7278d8737fc38”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metafor-4.2_0-r42hc72bb7e_0.conda”h0Œ@b0f86734a4b5d8dabbc505a27a033596a6f623aee7a8b290bd2659ac205bc9c0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-mathjaxr”Œr-matrix”Œ	r-metadat”Œr-nlme”Œ
r-numderiv”Œ	r-pbapply”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙE»óC–hEJ¤@J hFˆubh)”}”(hŒ	r-metafor”h#Œ4.2_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-metafor-4.2_0-r42hc72bb7e_1.conda”h+Œ 5300fde8f1697e6235e51b6fcd8c76d1”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metafor-4.2_0-r42hc72bb7e_1.conda”h0Œ@6d5df3c235ee799bd89da75958809b167aeb8c8e4e7a40e466832e179207066c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-mathjaxr”Œr-matrix”Œ	r-metadat”Œr-nlme”Œ
r-numderiv”Œ	r-pbapply”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æn?}hEJ;J hFˆubh)”}”(hŒ	r-metafor”h#Œ4.2_0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-metafor-4.2_0-r43hc72bb7e_1.conda”h+Œ 9ab93cb5070a99c6827142f105992163”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metafor-4.2_0-r43hc72bb7e_1.conda”h0Œ@90879db59b417420a34e8e16cf7a8bbec82afcfb43a87974e36ee1ebb6c56bde”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ
r-mathjaxr”Œr-matrix”Œ	r-metadat”Œr-nlme”Œ
r-numderiv”Œ	r-pbapply”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æoD1hEJ4J hFˆubh)”}”(hŒr-metr”h#Œ0.14.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ!r-metr-0.14.0-r41h785f33e_0.conda”h+Œ 479f25a4e3c503f5d455d5d51acf1ec5”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-metr-0.14.0-r41h785f33e_0.conda”h0Œ@3b3618c5590cf0851b06dc3ac7814ab06c9d63637c8298f6f580337e1ebd9bf8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œr-digest”Œ	r-formula”Œr-formula.tools”Œr-ggplot2 >=3.0.0”Œr-gtable”Œ	r-isoband”Œr-lubridate”Œ	r-memoise”Œr-plyr”Œr-purrr”Œr-scales”Œr-sf”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙõ6:^5hEJ>þ4 hFˆubh)”}”(hŒr-metr”h#Œ0.14.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ!r-metr-0.14.0-r42h785f33e_0.conda”h+Œ ada96eadf3dc6547a1828291b9dc6815”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-metr-0.14.0-r42h785f33e_0.conda”h0Œ@176832e212f17fe72615ab7bb8e9c3d93071ac2b5d505b8e399b9ca3e621cfea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œr-digest”Œ	r-formula”Œr-formula.tools”Œr-ggplot2 >=3.0.0”Œr-gtable”Œ	r-isoband”Œr-lubridate”Œ	r-memoise”Œr-plyr”Œr-purrr”Œr-scales”Œr-sf”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙõ1ý¸hEJç
5 hFˆubh)”}”(hŒr-mgsub”h#Œ1.7.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-mgsub-1.7.3-r42hc72bb7e_2.conda”h+Œ dbff34c1450a99e57c65dd7dce18d62f”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mgsub-1.7.3-r42hc72bb7e_2.conda”h0Œ@5b0095ffbcc2cc7e130d602c6a01dfe6e1dd4716bb275c5a573c5fc6398412d5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#U “uhEM×²hFˆubh)”}”(hŒr-mgsub”h#Œ1.7.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-mgsub-1.7.3-r43hc72bb7e_2.conda”h+Œ d8905f2dbe308d9b86cd600b74a8767e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mgsub-1.7.3-r43hc72bb7e_2.conda”h0Œ@0406c72dc5b098b7afe74702f7d3d30f893798de2c767cf231a97f36e48388f8”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#cb°!hEMk³hFˆubh)”}”(hŒr-mi”h#Œ1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-mi-1.1-r42hc72bb7e_2.conda”h+Œ 63f82562203896015e16e8e5c1175743”h-Nh.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-mi-1.1-r42hc72bb7e_2.conda”h0Œ@82e6362e0841cafe0846dc2631a1e91fd928d524fbbf4c48d1296c076724f812”h2NhNh3Œr-arm >=1.4_11”Œr-base >=4.2,<4.3.0a0”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Ù4ÊáHhEJ„s hFˆubh)”}”(hŒr-mi”h#Œ1.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-mi-1.1-r43hc72bb7e_2.conda”h+Œ c2dd65fe5c8a2083087b891746613e2d”h-Nh.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-mi-1.1-r43hc72bb7e_2.conda”h0Œ@d82e7ef9c75412bc87f3d81139860ca44a292298becdbd9c562053979186e266”h2NhNh3Œr-arm >=1.4_11”Œr-base >=4.3,<4.4.0a0”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Ù7àå`hEJú‹ hFˆubh)”}”(hŒ
r-mikropml”h#Œ1.6.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-mikropml-1.6.0-r41hc72bb7e_0.conda”h+Œ 397002cac072ebb5270caf99a4c6c7bc”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mikropml-1.6.0-r41hc72bb7e_0.conda”h0Œ@dd94496f5c3528267e0733e1e0ec0fd80dfe303b176c2a54556c86860a6f8a2d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-caret”Œr-dplyr”Œr-e1071”Œr-glmnet”Œ	r-kernlab”Œr-mlmetrics”Œr-randomforest”Œr-rlang”Œ	r-xgboost”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ†ï+hEJy™" hFˆubh)”}”(hŒ
r-mikropml”h#Œ1.6.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-mikropml-1.6.0-r42hc72bb7e_0.conda”h+Œ 6b7ef426b3e084c20c610ccc31916d83”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mikropml-1.6.0-r42hc72bb7e_0.conda”h0Œ@b470b4a3348d59a483adfe32f34ed81b0e033c9d277852dc41978a078ae2561f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-caret”Œr-dplyr”Œr-e1071”Œr-glmnet”Œ	r-kernlab”Œr-mlmetrics”Œr-randomforest”Œr-rlang”Œ	r-xgboost”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ†.…ÂhEJ<”" hFˆubh)”}”(hŒr-miniui”h#Œ0.1.1.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ'r-miniui-0.1.1.1-r42hc72bb7e_1004.conda”h+Œ 36c62d0b12b5140b4df278f1fd349bba”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-miniui-0.1.1.1-r42hc72bb7e_1004.conda”h0Œ@ddc4fd3c52aa1ddcea943f979e003d4639741390b1f1e94708424525803ea19c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.3”Œr-shiny >=0.13”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¤ÌÎÙhEMåÑhFˆubh)”}”(hŒr-miniui”h#Œ0.1.1.1”h%Œr43hc72bb7e_1004”h'Mìhhh(h)hŒ'r-miniui-0.1.1.1-r43hc72bb7e_1004.conda”h+Œ d2bd9ef1f79170e5f5d2549dbf21e6d3”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-miniui-0.1.1.1-r43hc72bb7e_1004.conda”h0Œ@d3efd6a925a135384992cfc356f4d1e6ff93aa916643245ee9a0d9f9bb06801a”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-htmltools >=0.3”Œr-shiny >=0.13”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¤Õ
Ÿ¾hEMÒhFˆubh)”}”(hŒr-misc3d”h#Œ0.9_1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-misc3d-0.9_1-r42hc72bb7e_2.conda”h+Œ dfce63c601c48923cea04ce80e413a19”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-misc3d-0.9_1-r42hc72bb7e_2.conda”h0Œ@8230d0c6f67222b14889497592dfefcb126db0f58d9302bb7a0c00e646cf345d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"…V±XhEJ7è hFˆubh)”}”(hŒr-misc3d”h#Œ0.9_1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-misc3d-0.9_1-r43hc72bb7e_2.conda”h+Œ 86e8c7564b60b11b029e11b5b74634fc”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-misc3d-0.9_1-r43hc72bb7e_2.conda”h0Œ@5b5484f17af6826c90b580c71dfbaf21b78f031486a3625a3b0208aaacb2925d”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"…C‘©ühEJÈé hFˆubh)”}”(hŒr-misctools”h#Œ0.6_28”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-misctools-0.6_28-r41hc72bb7e_0.conda”h+Œ 52d1bf926024a5c50118eead2fcb41bd”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-misctools-0.6_28-r41hc72bb7e_0.conda”h0Œ@28263cf1958a9a09c476837d65b1db7e8aa23b215be615543783cf27cc25f015”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-digest”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ¹pQìhEJ© hFˆubh)”}”(hŒr-misctools”h#Œ0.6_28”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-misctools-0.6_28-r42hc72bb7e_0.conda”h+Œ 611e31f1ab227eafcd5bead4f26f98a3”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-misctools-0.6_28-r42hc72bb7e_0.conda”h0Œ@ddb3229132f6d782835fb4cd0523cefc1b708504c12d39a89b9d2bbdddf50de9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ¹ù™šhEJÂŽ hFˆubh)”}”(hŒr-misctools”h#Œ0.6_28”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-misctools-0.6_28-r42hc72bb7e_1.conda”h+Œ 1081bf0c09c2b7f09754af8535851b7d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-misctools-0.6_28-r42hc72bb7e_1.conda”h0Œ@c145a0294d1959c68504fa201640de51c0d7e6c67138fdf0c7b8bfab94cbaea4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"æSR=qhEJ¨ hFˆubh)”}”(hŒr-misctools”h#Œ0.6_28”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-misctools-0.6_28-r43hc72bb7e_1.conda”h+Œ a7ea7375dd0a94cbf666faed52910549”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-misctools-0.6_28-r43hc72bb7e_1.conda”h0Œ@e82c284d3c2eab3891a58648c481cbbf8bb90570b56f31a80cf744cdc6b02245”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-digest”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"æsûC–hEJ¤Œ hFˆubh)”}”(hŒr-mitml”h#Œ0.4_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-mitml-0.4_5-r41hc72bb7e_0.conda”h+Œ 73583f79e12ba09eb033a3507be90576”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mitml-0.4_5-r41hc72bb7e_0.conda”h0Œ@e12199bf20a2ed9d3b4d878e91b6d7b2734be540e2c710c40b583f9a947487bb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-haven”Œr-jomo”Œr-pan”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ5ÿ¾whEJ† hFˆubh)”}”(hŒr-mitml”h#Œ0.4_5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-mitml-0.4_5-r42hc72bb7e_0.conda”h+Œ 896cfeec00c1fe6b16e81b857f4e37a8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mitml-0.4_5-r42hc72bb7e_0.conda”h0Œ@bda31d78c0e5622580ee94ca2baef053dccc657850848d6d492cd37edbaeac56”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-haven”Œr-jomo”Œr-pan”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ5tjhEJ	 hFˆubh)”}”(hŒ	r-mitools”h#Œ2.4”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ!r-mitools-2.4-r42hc72bb7e_4.conda”h+Œ 9c83a514b68bea8cb87fa7c6f0d33f23”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mitools-2.4-r42hc72bb7e_4.conda”h0Œ@37ac96468e4cea68a58b86317af9d12accddab370ffca1470336e693e6a43c84”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dbi”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¹Z‹hEJÃF hFˆubh)”}”(hŒ	r-mitools”h#Œ2.4”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ!r-mitools-2.4-r43hc72bb7e_4.conda”h+Œ d8d19a9987588b2b89dd89918cc8c3e8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mitools-2.4-r43hc72bb7e_4.conda”h0Œ@b67bc35c2d75d97add1944f2b5992c917be38519b217722693ce46ba4e7e193b”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-dbi”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¹S1©ühEJE hFˆubh)”}”(hŒr-mlapi”h#Œ0.1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-mlapi-0.1.1-r42hc72bb7e_2.conda”h+Œ 32391f8941c6f6382d11b7936eedd389”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mlapi-0.1.1-r42hc72bb7e_2.conda”h0Œ@b9e5232847a8ac5700eb015201349474fd49ab0f0f18d37a81652ca323ad426b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix >=1.1”Œr-r6 >=2.2.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#iP ÅhEJ"? hFˆubh)”}”(hŒr-mlapi”h#Œ0.1.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-mlapi-0.1.1-r43hc72bb7e_2.conda”h+Œ 2feca3c983b11e3c0b51d0f185506042”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mlapi-0.1.1-r43hc72bb7e_2.conda”h0Œ@8376c7cc1665fcb3732b4fff1ecf0708bc9e3cd9c25ed0a6714cc872b0c17c4c”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-matrix >=1.1”Œr-r6 >=2.2.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#XÀ1'hEJ&B hFˆubh)”}”(hŒr-mlflow”h#Œ2.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-mlflow-2.4.1-r42hc72bb7e_0.conda”h+Œ 62eb3adb42301b3bbb8b74314cca1e6d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mlflow-2.4.1-r42hc72bb7e_0.conda”h0Œ@9195e1cea3f62279a897d3409a0239b602531be317ee939c43db4b8261d2db98”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-forge”Œr-fs”Œr-git2r”Œr-glue”Œr-httpuv”Œr-httr”Œr-ini”Œ
r-jsonlite”Œ	r-openssl”Œ
r-processx”Œr-purrr”Œr-reticulate”Œr-rlang >=0.2.0”Œ	r-swagger”Œr-tibble >=2.0.0”Œr-withr”Œr-xml2”Œr-yaml”Œ	r-zeallot”t”h6Œmlflow =2.4.1”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ" ß˜ÔþhEJÚÒ hFˆubh)”}”(hŒr-mlogit”h#Œ1.1_1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-mlogit-1.1_1-r42hc72bb7e_2.conda”h+Œ fccf55d8f15ccf16cb4cd556841d3dc9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mlogit-1.1_1-r42hc72bb7e_2.conda”h0Œ@24dfd69038a25ff033c1bc24d25d7a7ec72866859faa3cb2ee549d340be15c27”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dfidx”Œ	r-formula”Œr-lmtest”Œr-mass”Œr-rdpack”Œ	r-statmod”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#\Ü¼jhEJª© hFˆubh)”}”(hŒr-mlogit”h#Œ1.1_1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-mlogit-1.1_1-r43hc72bb7e_2.conda”h+Œ 73a84e54e0a1071ada7876f0723ae49a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mlogit-1.1_1-r43hc72bb7e_2.conda”h0Œ@a63c4c8522e652540569b6aac624c9e66fd3b1dd46ff6573e06f85647a67ada5”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dfidx”Œ	r-formula”Œr-lmtest”Œr-mass”Œr-rdpack”Œ	r-statmod”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ#\£C–hEJì¨ hFˆubh)”}”(hŒr-mlr3”h#Œ0.16.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-mlr3-0.16.0-r41hc72bb7e_0.conda”h+Œ 8ffad48ae9af5ed44245b5949cbfa9ca”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3-0.16.0-r41hc72bb7e_0.conda”h0Œ@979e2d2ef1b3302e02ca6fe760d72431bb0d3ae7ecb8f0d9cf65a95990881a81”h2NhNh3(Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-checkmate >=2.0.0”Œr-data.table >=1.14.2”Œ
r-evaluate”Œr-future”Œr-future.apply >=1.5.0”Œr-lgr >=0.3.4”Œ	r-mlbench”Œr-mlr3measures >=0.4.1”Œr-mlr3misc >=0.10.0”Œr-palmerpenguins”Œr-paradox >=0.8.0”Œr-parallelly”Œr-r6 >=2.4.1”Œr-uuid”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙXMãThEJC! hFˆubh)”}”(hŒr-mlr3”h#Œ0.16.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-mlr3-0.16.0-r42hc72bb7e_0.conda”h+Œ bd210729bb9f25dc0f0a57088676ed98”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3-0.16.0-r42hc72bb7e_0.conda”h0Œ@3b3e373d3f494a45a7b9b25fa018c1e9b4d5e960d677d8e1380e714281236666”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-checkmate >=2.0.0”Œr-data.table >=1.14.2”Œ
r-evaluate”Œr-future”Œr-future.apply >=1.5.0”Œr-lgr >=0.3.4”Œ	r-mlbench”Œr-mlr3measures >=0.4.1”Œr-mlr3misc >=0.10.0”Œr-palmerpenguins”Œr-paradox >=0.8.0”Œr-parallelly”Œr-r6 >=2.4.1”Œr-uuid”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙX(O¾whEJªƒ! hFˆubh)”}”(hŒr-mlr3”h#Œ0.16.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-mlr3-0.16.0-r42hc72bb7e_1.conda”h+Œ 970d90f213fa459d4efd398c58ae5988”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3-0.16.0-r42hc72bb7e_1.conda”h0Œ@d08fb6c0cb9711665509f1989f4c8065f3f776bcb1c78cb5231d1edac3585d1d”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-checkmate >=2.0.0”Œr-data.table >=1.14.2”Œ
r-evaluate”Œr-future”Œr-future.apply >=1.5.0”Œr-lgr >=0.3.4”Œ	r-mlbench”Œr-mlr3measures >=0.4.1”Œr-mlr3misc >=0.10.0”Œr-palmerpenguins”Œr-paradox >=0.8.0”Œr-parallelly”Œr-r6 >=2.4.1”Œr-uuid”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"ÆHÃC–hEJeŒ! hFˆubh)”}”(hŒr-mlr3”h#Œ0.16.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-mlr3-0.16.0-r43hc72bb7e_1.conda”h+Œ 54b9de8206b7804ee5a7d4d6bf4da67b”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3-0.16.0-r43hc72bb7e_1.conda”h0Œ@95569f28432ee5a29986aebb87959ea6e736a98aabade4723142f2b5ccc59038”h2NhNh3(Œr-backports”Œr-base >=4.3,<4.4.0a0”Œr-checkmate >=2.0.0”Œr-data.table >=1.14.2”Œ
r-evaluate”Œr-future”Œr-future.apply >=1.5.0”Œr-lgr >=0.3.4”Œ	r-mlbench”Œr-mlr3measures >=0.4.1”Œr-mlr3misc >=0.10.0”Œr-palmerpenguins”Œr-paradox >=0.8.0”Œr-parallelly”Œr-r6 >=2.4.1”Œr-uuid”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"ÆK{hEJìk! hFˆubh)”}”(hŒr-mlr3cluster”h#Œ0.1.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-mlr3cluster-0.1.8-r41hc72bb7e_0.conda”h+Œ ea7ae04406094f0b6dff34ec6465493b”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3cluster-0.1.8-r41hc72bb7e_0.conda”h0Œ@3c2323b2c6ff4b0e6625d3fa68aa4df23c5370d92c5ffe53590f037989a79f43”h2NhNh3(Œr-backports >=1.1.10”Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-clue”Œ	r-cluster”Œr-data.table”Œr-fpc”Œr-mlr3 >=0.14.0”Œr-mlr3misc >=0.9.4”Œ	r-paradox”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙšÈ´hEJ4” hFˆubh)”}”(hŒr-mlr3cluster”h#Œ0.1.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-mlr3cluster-0.1.8-r42hc72bb7e_0.conda”h+Œ 796a4a14b0cb389ea075d6e6af0ed042”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3cluster-0.1.8-r42hc72bb7e_0.conda”h0Œ@a71938c770d2bedebabb22f7796b60b33924a10bcaf0c2f5eb5b7b430fc0c1b1”h2NhNh3(Œr-backports >=1.1.10”Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-clue”Œ	r-cluster”Œr-data.table”Œr-fpc”Œr-mlr3 >=0.14.0”Œr-mlr3misc >=0.9.4”Œ	r-paradox”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙš	ŽVhEJð¯ hFˆubh)”}”(hŒr-mlr3filters”h#Œ0.7.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-mlr3filters-0.7.1-r41hc72bb7e_0.conda”h+Œ 9c7d691dbca592676c188e2d64d16626”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3filters-0.7.1-r41hc72bb7e_0.conda”h0Œ@ed3d103ae272c13d0480eb3fe3c43debdaa0ac441c2fed250280990352b9545b”h2NhNh3(Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œr-mlr3 >=0.1.8”Œ
r-mlr3misc”Œ	r-paradox”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØûoŠZhEJ¯ hFˆubh)”}”(hŒr-mlr3filters”h#Œ0.7.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-mlr3filters-0.7.1-r42hc72bb7e_0.conda”h+Œ 1af982209acd622879551d45e3b860bd”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3filters-0.7.1-r42hc72bb7e_0.conda”h0Œ@a4b6308c7234020bd0e7810d9ffb1435afc160455181a56bc9db4339b9cdb700”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œr-mlr3 >=0.1.8”Œ
r-mlr3misc”Œ	r-paradox”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØûo‰â¬hEJô  hFˆubh)”}”(hŒr-mlr3fselect”h#Œ0.11.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-mlr3fselect-0.11.0-r41hc72bb7e_0.conda”h+Œ 32247118af338150597e8367ad5c6d5f”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3fselect-0.11.0-r41hc72bb7e_0.conda”h0Œ@34bd29e4869807b12122bc7e2fe3f06fda46faaacfff13051d827cd7b4576e59”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbotk >=0.4.0”Œr-checkmate >=2.0.0”Œr-data.table”Œr-lgr”Œr-mlr3 >=0.12.0”Œr-mlr3misc >=0.9.4”Œr-mlr3pipelines >=0.3.0”Œr-paradox >=0.7.0”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ G‘Ýó¶hEJ¸ hFˆubh)”}”(hŒr-mlr3fselect”h#Œ0.11.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-mlr3fselect-0.11.0-r42hc72bb7e_0.conda”h+Œ 6181ae72df8c718bce1fd26861040b65”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3fselect-0.11.0-r42hc72bb7e_0.conda”h0Œ@132aeb43896eadd7dec0690380d05d60863023a40d882568f7ea9200cfb3f661”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bbotk >=0.4.0”Œr-checkmate >=2.0.0”Œr-data.table”Œr-lgr”Œr-mlr3 >=0.12.0”Œr-mlr3misc >=0.9.4”Œr-mlr3pipelines >=0.3.0”Œr-paradox >=0.7.0”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ GŒ.¸RhEJT< hFˆubh)”}”(hŒr-mlr3hyperband”h#Œ0.4.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-mlr3hyperband-0.4.5-r41hc72bb7e_0.conda”h+Œ 2b17f47b6f5e03d4d25cbbfd8fd9e8a1”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3hyperband-0.4.5-r41hc72bb7e_0.conda”h0Œ@ac59d2a13b7673ad48898e6f9d8a88c59cc86c4551c8a548b3d617634c230b3f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbotk >=0.5.0”Œr-checkmate >=1.9.4”Œr-data.table”Œr-lgr”Œr-mlr3 >=0.13.1”Œr-mlr3misc >=0.10.0”Œr-mlr3tuning >=0.11.0”Œr-paradox >=0.7.0”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ 8žŸïžhEJð hFˆubh)”}”(hŒr-mlr3hyperband”h#Œ0.4.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-mlr3hyperband-0.4.5-r42hc72bb7e_0.conda”h+Œ a97cdb3eac99f9ebcc35ff9d1ea93c3d”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3hyperband-0.4.5-r42hc72bb7e_0.conda”h0Œ@9bcbdca5d480c3d05b5fc144cbac68faaccfd53be04fe0b67f067d72d24f6ed8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bbotk >=0.5.0”Œr-checkmate >=1.9.4”Œr-data.table”Œr-lgr”Œr-mlr3 >=0.13.1”Œr-mlr3misc >=0.10.0”Œr-mlr3tuning >=0.11.0”Œr-paradox >=0.7.0”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ 8]p¤hEJO3 hFˆubh)”}”(hŒr-mlr3learners”h#Œ0.5.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-mlr3learners-0.5.6-r41hc72bb7e_0.conda”h+Œ cc0ae2e8cc07788912efba54e495525c”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3learners-0.5.6-r41hc72bb7e_0.conda”h0Œ@44720573d1beace37358659403e79fa8a00e40c61cb683bee877a04f3c1ee2dd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-mlr3 >=0.6.0”Œr-mlr3misc >=0.5.0”Œ	r-paradox”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØî:usçmhEJ¡R hFˆubh)”}”(hŒr-mlr3learners”h#Œ0.5.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-mlr3learners-0.5.6-r42hc72bb7e_0.conda”h+Œ cf9801e5e2c3ac23d79384a80d8eb862”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3learners-0.5.6-r42hc72bb7e_0.conda”h0Œ@11cc0aa6433b2ace71749ffcbb51a2ecd3a9239ff4edb82750bf9ebd5cde87c1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-mlr3 >=0.6.0”Œr-mlr3misc >=0.5.0”Œ	r-paradox”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØî:yéxÕhEJ<n hFˆubh)”}”(hŒr-mlr3learners”h#Œ0.5.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-mlr3learners-0.5.6-r42hc72bb7e_1.conda”h+Œ 6130b4babf900f33b44654bef4eb26eb”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3learners-0.5.6-r42hc72bb7e_1.conda”h0Œ@3d62bbeacae2de9fc04c308e471ae0c2d69ae17e1876cdb8b6eacab99a959ff4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-mlr3 >=0.6.0”Œr-mlr3misc >=0.5.0”Œ	r-paradox”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ#.Ç¾whEJ¥q hFˆubh)”}”(hŒr-mlr3learners”h#Œ0.5.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-mlr3learners-0.5.6-r43hc72bb7e_1.conda”h+Œ d78bc970a4b2a7121cb77401a85a8148”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3learners-0.5.6-r43hc72bb7e_1.conda”h0Œ@9927161f79c3a42a92e9ad7e92e103b12e7363096ab90d730eeedf1ab3f5460a”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-data.table”Œr-mlr3 >=0.6.0”Œr-mlr3misc >=0.5.0”Œ	r-paradox”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ#AGß;hEJ!^ hFˆubh)”}”(hŒr-mlr3measures”h#Œ0.5.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-mlr3measures-0.5.0-r42hc72bb7e_2.conda”h+Œ dd23a364fef2be4f5cbb793cc2d010bd”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3measures-0.5.0-r42hc72bb7e_2.conda”h0Œ@e7044e50259885ce176ea8fc1c88608325a911ef02d96337e9168bef281aba33”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-prroc”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"¸ºÈ ÅhEJÙL hFˆubh)”}”(hŒr-mlr3measures”h#Œ0.5.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-mlr3measures-0.5.0-r43hc72bb7e_2.conda”h+Œ afd0d13ead97481843af6b86283edc45”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3measures-0.5.0-r43hc72bb7e_2.conda”h0Œ@30b78b5c43bbaf891571948b0dcabfd86801309a285b11ae5cbc2d30e5e32cc5”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-checkmate”Œr-prroc”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"¸»ÂhEJ*M hFˆubh)”}”(hŒr-mlr3pipelines”h#Œ0.5.0_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-mlr3pipelines-0.5.0_1-r41hc72bb7e_0.conda”h+Œ fa5c9026bd649601afdaa1600ef185d0”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3pipelines-0.5.0_1-r41hc72bb7e_0.conda”h0Œ@8867cfd948259ac58b302334c32d7345749c326ea28ed920324d7c10cc47b563”h2NhNh3(Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œr-digest”Œr-lgr”Œr-mlr3 >=0.6.0”Œr-mlr3misc 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r-mlr3data”Œr-mlr3filters”Œr-mlr3fselect >=0.8.0”Œr-mlr3hyperband”Œr-mlr3learners”Œ	r-mlr3mbo”Œr-mlr3misc >=0.11.0”Œr-mlr3pipelines >=0.4.0”Œr-mlr3tuning >=0.17.0”Œr-mlr3tuningspaces >=0.1.1”Œ	r-mlr3viz”Œr-paradox >=0.6.0”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ¶Ø´9hEMbœhFˆubh)”}”(hŒr-mlr3verse”h#Œ0.2.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-mlr3verse-0.2.8-r42hc72bb7e_0.conda”h+Œ 9f5794bfc6841c2f3d324527f23a9f06”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mlr3verse-0.2.8-r42hc72bb7e_0.conda”h0Œ@d6215f0dc6c7b5c3591eafffa2d8d10e56b8bd8d8215fa1a23976a13b93a9f82”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bbotk”Œr-data.table”Œr-mlr3 >=0.12.0”Œr-mlr3cluster”Œ
r-mlr3data”Œr-mlr3filters”Œr-mlr3fselect >=0.8.0”Œr-mlr3hyperband”Œr-mlr3learners”Œ	r-mlr3mbo”Œr-mlr3misc >=0.11.0”Œr-mlr3pipelines >=0.4.0”Œr-mlr3tuning >=0.17.0”Œr-mlr3tuningspaces >=0.1.1”Œ	r-mlr3viz”Œr-paradox >=0.6.0”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ¥@“uhEM5œhFˆubh)”}”(hŒ	r-mlr3viz”h#Œ0.6.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-mlr3viz-0.6.1-r41hc72bb7e_0.conda”h+Œ 5d28acf971d50ed7c9f42cf909a108c6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3viz-0.6.1-r41hc72bb7e_0.conda”h0Œ@4e2c7b7bfa45c80abdfc0b7123d618299b90ae1209f923d10929b5a8eca375cd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œr-ggplot2 >=3.3.0”Œr-mlr3misc >=0.7.0”Œr-scales”Œ	r-viridis”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØóØ§ŒIºhEJ¸* hFˆubh)”}”(hŒ	r-mlr3viz”h#Œ0.6.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-mlr3viz-0.6.1-r42hc72bb7e_0.conda”h+Œ caef31ab14a6c76ddb00452d94541495”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3viz-0.6.1-r42hc72bb7e_0.conda”h0Œ@38737fe1df77bfba77cebd1c23e5ece5850f2501c4ce69dd017fb0bd067149ad”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œr-ggplot2 >=3.3.0”Œr-mlr3misc >=0.7.0”Œr-scales”Œ	r-viridis”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØóØ™MÂhEJÈ) hFˆubh)”}”(hŒ	r-mockery”h#Œ0.4.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-mockery-0.4.3-r42hc72bb7e_2.conda”h+Œ 51eb88c977c97f9992fa477344cd8ca3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mockery-0.4.3-r42hc72bb7e_2.conda”h0Œ@f614eb3040a58718f55c10c43effe0ce7e13c49e03c7d14d3a928cce3290d959”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-testthat”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"w—¾whEM¼ÁhFˆubh)”}”(hŒ	r-mockery”h#Œ0.4.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-mockery-0.4.3-r43hc72bb7e_2.conda”h+Œ 93c812009c8529700ef3bea9827da4e7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mockery-0.4.3-r43hc72bb7e_2.conda”h0Œ@84e48a82c0fd9c8eafcf205bab02d8b17620c6e6e4eaa9b6afd7ce9f902abac5”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ
r-testthat”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"wüzáhEMEÂhFˆubh)”}”(hŒr-modelbased”h#Œ0.8.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-modelbased-0.8.6-r41hc72bb7e_0.conda”h+Œ 1821c1490b8c7b740f310de5f5f5f0e7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-modelbased-0.8.6-r41hc72bb7e_0.conda”h0Œ@2efc7d7bda3e420be125e4892cedda5192cd7b3af3179b7515976245755bd3e0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayestestr >=0.12.1”Œr-datawizard >=0.5.0”Œr-effectsize >=0.7.0”Œr-insight >=0.18.0”Œr-parameters >=0.18.0”Œr-performance >=0.9.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØð[Ó¸ƒhEJ½' hFˆubh)”}”(hŒr-modelbased”h#Œ0.8.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-modelbased-0.8.6-r42hc72bb7e_0.conda”h+Œ 2a9a9bd67ab614b9672ae17baa6187cd”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-modelbased-0.8.6-r42hc72bb7e_0.conda”h0Œ@46eddd32e5e8c83c7452bf482d56d2cc938e9c9e45d6a59fd158ae7921bb49ff”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.12.1”Œr-datawizard >=0.5.0”Œr-effectsize >=0.7.0”Œr-insight >=0.18.0”Œr-parameters >=0.18.0”Œr-performance >=0.9.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØð[Óh“uhEJ" hFˆubh)”}”(hŒr-modeldata”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-modeldata-1.1.0-r41hc72bb7e_0.conda”h+Œ 65696d23b90bb9cbc6d20c13d7296394”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeldata-1.1.0-r41hc72bb7e_0.conda”h0Œ@f6d55b624d53326eea3e847463e5522d59a70fed3510516f4931e9772ebb1b52”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-mass”Œr-purrr”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØôK¶§ðhEJBü@ hFˆubh)”}”(hŒr-modeldata”h#Œ1.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-modeldata-1.1.0-r42hc72bb7e_0.conda”h+Œ 0dac4c00590b491d7d1c407f8e7c7a8f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeldata-1.1.0-r42hc72bb7e_0.conda”h0Œ@15bc0d7b64a3a0d89ea459dd47dc13d1a49058abf20f3b0d9b1d44f4d674ac4e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-mass”Œr-purrr”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØôKäZhEJt	A hFˆubh)”}”(hŒr-modeldata”h#Œ1.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-modeldata-1.1.0-r42hc72bb7e_1.conda”h+Œ 12f086c016d560f3cbf620fc0a83965a”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeldata-1.1.0-r42hc72bb7e_1.conda”h0Œ@2611385265eed707aa41cd1ec26a5ee3bfe25ea281d70584bc63facd6e5f9d08”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-mass”Œr-purrr”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¹k«çmhEJóý@ hFˆubh)”}”(hŒr-modeldata”h#Œ1.1.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-modeldata-1.1.0-r43hc72bb7e_1.conda”h+Œ dad0f208754c0e1c735b4dfddc5d5353”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeldata-1.1.0-r43hc72bb7e_1.conda”h0Œ@88f65e8294c824559cf20e3de657c9ea9ee4ba73a9f4aa726e9222639d678663”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr”Œr-mass”Œr-purrr”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¹håp¤hEJ“	A hFˆubh)”}”(hŒ
r-modelenv”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-modelenv-0.1.1-r41hc72bb7e_0.conda”h+Œ 22dee8e098ca22b9b0ff17a744850d10”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-modelenv-0.1.1-r41hc72bb7e_0.conda”h0Œ@28df3862f07b27918887165bfc0bb9405403164141581a210f544c8a90d5253c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-rlang”Œr-tibble”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙUIuÂhEJàD hFˆubh)”}”(hŒ
r-modelenv”h#Œ0.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-modelenv-0.1.1-r42hc72bb7e_0.conda”h+Œ 2f851c2103ac4f66bf255ec624663631”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-modelenv-0.1.1-r42hc72bb7e_0.conda”h0Œ@9db2570727ee19cc12543d41b3269b23c89a56f2ae2e880cc019be63b5b1f879”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-glue”Œr-rlang”Œr-tibble”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙU;ÐA‰hEJãD hFˆubh)”}”(hŒ
r-modelenv”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-modelenv-0.1.1-r42hc72bb7e_1.conda”h+Œ eefe8fa07eb11dd0bd13745c5366099b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-modelenv-0.1.1-r42hc72bb7e_1.conda”h0Œ@59e683e41e7da8fef30e46fa83ace2f947baec9a87b765b13d3d5e6b89aba088”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-glue”Œr-rlang”Œr-tibble”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¬¿\)hEJDE hFˆubh)”}”(hŒ
r-modelenv”h#Œ0.1.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-modelenv-0.1.1-r43hc72bb7e_1.conda”h+Œ 2cd053669fadb6256f1d08591be80b39”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-modelenv-0.1.1-r43hc72bb7e_1.conda”h0Œ@aff6e88d62eca4bb352b4accb6e440ae456f71adaaf68ea0708bc824369ef7a1”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-glue”Œr-rlang”Œr-tibble”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¬°ÔþhEJÒC hFˆubh)”}”(hŒr-modelr”h#Œ0.1.11”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-modelr-0.1.11-r41hc72bb7e_0.conda”h+Œ 5a56388a2471ad1af3b2b791b9e043d9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-modelr-0.1.11-r41hc72bb7e_0.conda”h0Œ@0b1e0988962b06ec46c0835f709f210dd6864f6e761b12676931f2bb3604ab67”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr”Œ
r-magrittr”Œr-purrr >=0.2.2”Œr-rlang >=0.2.0”Œr-tibble”Œr-tidyr >=0.8.0”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙÐg†ùÛhEJÙ] hFˆubh)”}”(hŒr-modelr”h#Œ0.1.11”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-modelr-0.1.11-r42hc72bb7e_0.conda”h+Œ d2ca89a2e32a2e256e22471747e791ef”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-modelr-0.1.11-r42hc72bb7e_0.conda”h0Œ@91c87ea9816b654d2c1e54c80ee8d25e9481063e333fda9ab1018b3b73b75a4f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr”Œ
r-magrittr”Œr-purrr >=0.2.2”Œr-rlang >=0.2.0”Œr-tibble”Œr-tidyr >=0.8.0”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙÐdèõÃhEJž] hFˆubh)”}”(hŒr-modelr”h#Œ0.1.11”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-modelr-0.1.11-r42hc72bb7e_1.conda”h+Œ c157ab426e622cc1dfd9d679215dbdc5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-modelr-0.1.11-r42hc72bb7e_1.conda”h0Œ@f24b73bd9f343a9bc347d54049ca5e5441d5adeaaa70569f5b83d5d417e42ef5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr”Œ
r-magrittr”Œr-purrr >=0.2.2”Œr-rlang >=0.2.0”Œr-tibble”Œr-tidyr >=0.8.0”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"Á;^$ÝhEJl[ hFˆubh)”}”(hŒr-modelr”h#Œ0.1.11”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-modelr-0.1.11-r43hc72bb7e_1.conda”h+Œ 992e04a0df956aa1efbf195bf9078bcc”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-modelr-0.1.11-r43hc72bb7e_1.conda”h0Œ@11ca72e335d1b8ba9ea6fe2ebc7303e61a3b18d17e340288d9449ccde888c5e0”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-broom”Œr-dplyr”Œ
r-magrittr”Œr-purrr >=0.2.2”Œr-rlang >=0.2.0”Œr-tibble”Œr-tidyr >=0.8.0”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"Á<z^5hEJÙ] hFˆubh)”}”(hŒr-modelstudio”h#Œ3.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-modelstudio-3.1.2-r41hc72bb7e_0.conda”h+Œ 92c6dae4d590ddfa0d7e76518d49ffc3”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-modelstudio-3.1.2-r41hc72bb7e_0.conda”h0Œ@3a0e39d277fd4cd9817953a6c7f0a76c4cc8e9f36706f7542c1876b1521164dc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dalex >=2.2.1”Œr-digest”Œr-ibreakdown >=2.0.1”Œr-ingredients >=2.2.0”Œ
r-jsonlite”Œ
r-progress”Œr-r2d3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØýê»SøhEJM^ hFˆubh)”}”(hŒr-modelstudio”h#Œ3.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-modelstudio-3.1.2-r42hc72bb7e_0.conda”h+Œ 3f34630312c17044b519e7ae6648a6f1”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-modelstudio-3.1.2-r42hc72bb7e_0.conda”h0Œ@38e45be5c13106a1bb64ca587ac6ae9dcc59e8e60135cf22218022baeabef0aa”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dalex >=2.2.1”Œr-digest”Œr-ibreakdown >=2.0.1”Œr-ingredients >=2.2.0”Œ
r-jsonlite”Œ
r-progress”Œr-r2d3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØýì8“uhEJ—d hFˆubh)”}”(hŒr-modelsummary”h#Œ1.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-modelsummary-1.4.1-r41hc72bb7e_0.conda”h+Œ 533d6b7234f4f9b748030d73503268e4”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-modelsummary-1.4.1-r41hc72bb7e_0.conda”h0Œ@15d5de0e868c7b1a03a4c5f6df34fa62fc40b173c03e5a0599d01f3fc40ac1f6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-checkmate”Œr-data.table”Œ
r-generics”Œr-glue”Œr-insight >=0.16.1”Œr-kableextra >=1.2.1”Œr-parameters >=0.17.0”Œr-performance”Œr-tables”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙün{hEJQC hFˆubh)”}”(hŒr-modelsummary”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-modelsummary-1.4.1-r42hc72bb7e_0.conda”h+Œ f8629058c3134834c94cfbf5cefc874b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-modelsummary-1.4.1-r42hc72bb7e_0.conda”h0Œ@e184e3437355de22943d4a99c02817f2f022e842fc67e7dd3d8add1632f0521c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-checkmate”Œr-data.table”Œ
r-generics”Œr-glue”Œr-insight >=0.16.1”Œr-kableextra >=1.2.1”Œr-parameters >=0.17.0”Œr-performance”Œr-tables”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙüç\)hEJäK hFˆubh)”}”(hŒr-modeltime”h#Œ1.2.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-modeltime-1.2.6-r41hc72bb7e_0.conda”h+Œ 60a612f1fcfd3eaf35eacfef67caac17”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeltime-1.2.6-r41hc72bb7e_0.conda”h0Œ@6e29b0b3390e6c982edd7ca22db4c52bb24098269ca2df5832048ba9a1bb3f2a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dials”Œr-doparallel”Œr-dplyr”Œ	r-forcats”Œ	r-foreach”Œ
r-forecast”Œ	r-ggplot2”Œr-glue”Œr-gt”Œr-hardhat >=1.0.0”Œ	r-janitor”Œ
r-magrittr”Œr-parallelly”Œr-parsnip >=0.2.1”Œr-plotly”Œ	r-prophet”Œr-purrr”Œr-reactable”Œr-rlang >=0.1.2”Œr-scales”Œr-stanheaders”Œ	r-stringr”Œr-tibble”Œr-tidymodels”Œr-tidyr”Œr-tidyverse”Œr-timetk >=2.8.1”Œr-workflows >=1.0.0”Œr-xgboost >=1.2.0.1”Œr-yardstick >=0.0.8”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ	Æ¦^5hEJÒš+ hFˆubh)”}”(hŒr-modeltime”h#Œ1.2.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-modeltime-1.2.6-r42hc72bb7e_0.conda”h+Œ 74fbb20e5195a201e725350a7f992dcc”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeltime-1.2.6-r42hc72bb7e_0.conda”h0Œ@6391446eba186cd3b0585eae70ebde49397d92658a71de4aff13815bf94f41fe”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dials”Œr-doparallel”Œr-dplyr”Œ	r-forcats”Œ	r-foreach”Œ
r-forecast”Œ	r-ggplot2”Œr-glue”Œr-gt”Œr-hardhat >=1.0.0”Œ	r-janitor”Œ
r-magrittr”Œr-parallelly”Œr-parsnip >=0.2.1”Œr-plotly”Œ	r-prophet”Œr-purrr”Œr-reactable”Œr-rlang >=0.1.2”Œr-scales”Œr-stanheaders”Œ	r-stringr”Œr-tibble”Œr-tidymodels”Œr-tidyr”Œr-tidyverse”Œr-timetk >=2.8.1”Œr-workflows >=1.0.0”Œr-xgboost >=1.2.0.1”Œr-yardstick >=0.0.8”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ	Æ±®hEJ_ž+ hFˆubh)”}”(hŒr-modeltime.ensemble”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ.r-modeltime.ensemble-1.0.3-r41hc72bb7e_0.conda”h+Œ 85063d771c883656d379d9d7c9c49dee”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/r-modeltime.ensemble-1.0.3-r41hc72bb7e_0.conda”h0Œ@5b8fd14bb3623bf0d74973c0b82e0234540fed6d7467a21c4054d39aeacc0916”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-doparallel”Œr-dplyr >=1.0.0”Œ	r-foreach”Œ
r-generics”Œr-glue”Œ
r-magrittr”Œr-modeltime >=1.2.3”Œr-modeltime.resample >=0.2.1”Œr-parsnip >=0.1.6”Œr-purrr”Œr-recipes >=0.1.15”Œr-rlang >=0.1.2”Œ	r-rsample”Œ	r-stringr”Œr-tibble”Œr-tictoc”Œr-tidyr”Œr-timetk >=2.5.0”Œr-tune >=0.1.2”Œr-workflows >=0.2.1”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙù¾>‡+hEJIÌ hFˆubh)”}”(hŒr-modeltime.ensemble”h#Œ1.0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ.r-modeltime.ensemble-1.0.3-r42hc72bb7e_0.conda”h+Œ dbf9dfde2a1d248b3ac0246f6f258309”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/r-modeltime.ensemble-1.0.3-r42hc72bb7e_0.conda”h0Œ@dcc3c385fe66d193f6bac5dcb4babd9a6682c64f20ee23837d5ce4d38da80f94”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-doparallel”Œr-dplyr >=1.0.0”Œ	r-foreach”Œ
r-generics”Œr-glue”Œ
r-magrittr”Œr-modeltime >=1.2.3”Œr-modeltime.resample >=0.2.1”Œr-parsnip >=0.1.6”Œr-purrr”Œr-recipes >=0.1.15”Œr-rlang >=0.1.2”Œ	r-rsample”Œ	r-stringr”Œr-tibble”Œr-tictoc”Œr-tidyr”Œr-timetk >=2.5.0”Œr-tune >=0.1.2”Œr-workflows >=0.2.1”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙùÓVhEJYÎ hFˆubh)”}”(hŒr-modeltime.resample”h#Œ0.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ.r-modeltime.resample-0.2.3-r41hc72bb7e_0.conda”h+Œ 2cdc452765d6716cc22513223404eab7”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/r-modeltime.resample-0.2.3-r41hc72bb7e_0.conda”h0Œ@f9c2b175bb320c0ef983cfc175d5a79c282788f1c79c24fb4521e0289072e3f1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-crayon”Œr-dials”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-glue”Œ	r-hardhat”Œ
r-magrittr”Œr-modeltime >=0.3.0”Œr-parsnip >=0.1.4”Œr-plotly”Œr-progressr”Œr-purrr”Œ	r-recipes”Œr-rlang >=0.1.2”Œ	r-rsample”Œ	r-stringr”Œr-tibble”Œr-tictoc”Œr-tidyr”Œr-timetk >=2.5.0”Œr-tune”Œr-workflows”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÃF{hEJõ! hFˆubh)”}”(hŒr-modeltime.resample”h#Œ0.2.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ.r-modeltime.resample-0.2.3-r42hc72bb7e_0.conda”h+Œ 3d62e45e76677aeaf469b7484c5baef2”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/r-modeltime.resample-0.2.3-r42hc72bb7e_0.conda”h0Œ@aba2ffd16114d2e160d90ec8c1b43cb81a3267ca519b0ae59ed5183a65f168ff”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-crayon”Œr-dials”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-glue”Œ	r-hardhat”Œ
r-magrittr”Œr-modeltime >=0.3.0”Œr-parsnip >=0.1.4”Œr-plotly”Œr-progressr”Œr-purrr”Œ	r-recipes”Œr-rlang >=0.1.2”Œ	r-rsample”Œ	r-stringr”Œr-tibble”Œr-tictoc”Œr-tidyr”Œr-timetk >=2.5.0”Œr-tune”Œr-workflows”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ¾tí‘hEJ¼' hFˆubh)”}”(hŒr-modeltools”h#Œ0.2_23”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ'r-modeltools-0.2_23-r42hc72bb7e_3.conda”h+Œ 9c9c73b0fdaa067ada498f2d8c575297”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-modeltools-0.2_23-r42hc72bb7e_3.conda”h0Œ@44f2977c6e1d7825b9c926530ff410cb9f5626350693111798339bb4fa17d8b5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"„s‹çmhEJód hFˆubh)”}”(hŒr-modeltools”h#Œ0.2_23”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ'r-modeltools-0.2_23-r43hc72bb7e_3.conda”h+Œ 83831d4bd011a515bc6875e21751925a”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-modeltools-0.2_23-r43hc72bb7e_3.conda”h0Œ@846eba17f159354cd00f485d39dbb732f74647a7a9c4eeeac119230be3a606c6”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"„rãC–hEJeš hFˆubh)”}”(hŒ	r-modules”h#Œ0.11.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-modules-0.11.0-r42hc72bb7e_0.conda”h+Œ 432b097033e52e16bd27a2e975b44242”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-modules-0.11.0-r42hc72bb7e_0.conda”h0Œ@a2007baf4eb41c1aae5af3f30a0484539cebed1bae733ea175988268a4cd1566”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ!Qa%hEJ¼ˆ hFˆubh)”}”(hŒ	r-moments”h#Œ0.14.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-moments-0.14.1-r42hc72bb7e_2.conda”h+Œ 79a9bd2e833e30d531ffcdcad647ad22”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-moments-0.14.1-r42hc72bb7e_2.conda”h0Œ@8bc0b95cff2d994b59ae6813fe6e914492205fa94b3216060ff071285344155d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"Ù³`BhEJV hFˆubh)”}”(hŒ	r-moments”h#Œ0.14.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-moments-0.14.1-r43hc72bb7e_2.conda”h+Œ ae51ba373787224a89a02c7d6d5e4bc2”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-moments-0.14.1-r43hc72bb7e_2.conda”h0Œ@71ce816f18e946907e813f7c3de915ea480d4bb1e1066732821da901fe3f225f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"Ù³ÎÙhEJ©	 hFˆubh)”}”(hŒr-moreparty”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-moreparty-0.3.1-r41hc72bb7e_0.conda”h+Œ b8fb8f05f5c7f4202ef4ab12c2753a7e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-moreparty-0.3.1-r41hc72bb7e_0.conda”h0Œ@471630deeda37f8fef4b098b92e2ceca1ad3c3f8a013fa1d2c99dc6e4f82b46f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-datamods”Œr-dt”Œ	r-foreach”Œ	r-ggplot2”Œr-iml”Œr-mass”Œ
r-measures”Œr-party”Œ
r-partykit”Œr-pdp”Œr-phosphoricons”Œr-plyr”Œr-rclipboard”Œr-rlang”Œr-shiny”Œr-shinywidgets”Œr-varimp”Œr-vip”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ60  hEJ hFˆubh)”}”(hŒr-moreparty”h#Œ0.3.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-moreparty-0.3.1-r42hc72bb7e_0.conda”h+Œ c902dae42b89746140c19613cb01621d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-moreparty-0.3.1-r42hc72bb7e_0.conda”h0Œ@e1d4f726091e8056a5315fedce451b9dc73930bf448da06821e99ba5e87cf131”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-datamods”Œr-dt”Œ	r-foreach”Œ	r-ggplot2”Œr-iml”Œr-mass”Œ
r-measures”Œr-party”Œ
r-partykit”Œr-pdp”Œr-phosphoricons”Œr-plyr”Œr-rclipboard”Œr-rlang”Œr-shiny”Œr-shinywidgets”Œr-varimp”Œr-vip”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ6ÍVhEJ¹– hFˆubh)”}”(hŒr-mosaiccore”h#Œ0.9.2.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-mosaiccore-0.9.2.1-r42hc72bb7e_2.conda”h+Œ e7772f89e75b53c2995083c21903249c”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mosaiccore-0.9.2.1-r42hc72bb7e_2.conda”h0Œ@6fa34f62ba04bd240960941634d26214c9d4c1ff588eb9b719e44046b584bfad”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-mass”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æ‡´í‘hEJm< hFˆubh)”}”(hŒr-mosaiccore”h#Œ0.9.2.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-mosaiccore-0.9.2.1-r43hc72bb7e_2.conda”h+Œ d474d9488e975ef2b290074308543c60”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mosaiccore-0.9.2.1-r43hc72bb7e_2.conda”h0Œ@bb03c3cfcfff67035d8750f96148e602d359b4a050d29492ec6675ea74676b72”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr”Œr-mass”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"æ@´9hEJV6 hFˆubh)”}”(hŒ	r-mschart”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-mschart-0.4.0-r41hc72bb7e_0.conda”h+Œ 0b39e706fb56ad48f5b0ff28d1cb95d6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mschart-0.4.0-r41hc72bb7e_0.conda”h0Œ@2f04a96d2836a3678b26027683b24dbbefab2769fecc470813e2f22274d9f41a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cellranger”Œr-data.table”Œr-htmltools”Œr-officer >=0.3.6”Œ	r-writexl”Œr-xml2 >=1.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâ
”ú°!hEJt‘ hFˆubh)”}”(hŒ	r-mschart”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-mschart-0.4.0-r42hc72bb7e_0.conda”h+Œ e9e2b904ecda241679b40d650aebcb5e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mschart-0.4.0-r42hc72bb7e_0.conda”h0Œ@4dddf3436c84f88ccc356a9cbd7da6e1b5be683b2faf20e5bd0a44be5d2602d5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cellranger”Œr-data.table”Œr-htmltools”Œr-officer >=0.3.6”Œ	r-writexl”Œr-xml2 >=1.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâ
“:ÀƒhEJí‹ hFˆubh)”}”(hŒ
r-multcomp”h#Œ1.4_24”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-multcomp-1.4_24-r42hc72bb7e_0.conda”h+Œ f79ba73146a3f9ef6a652792a2df0e6c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-multcomp-1.4_24-r42hc72bb7e_0.conda”h0Œ@44060ede39bb6229aa3048bb5ddb71b7bc004869b049a741a69838943f43492e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-codetools”Œr-mvtnorm >=1.0_10”Œr-sandwich >=2.3_0”Œr-survival >=2.39_4”Œr-th.data >=1.0_2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"R½~È´hEJÏ hFˆubh)”}”(hŒ
r-multcomp”h#Œ1.4_24”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-multcomp-1.4_24-r42hc72bb7e_1.conda”h+Œ a806bf5aed9d411dd432f73a0cd2223b”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-multcomp-1.4_24-r42hc72bb7e_1.conda”h0Œ@b67daa59a78eae657d731fb5ff3ce63fb95fc93bd29f85041932b62e19d914bf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-codetools”Œr-mvtnorm >=1.0_10”Œr-sandwich >=2.3_0”Œr-survival >=2.39_4”Œr-th.data >=1.0_2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"±¥ÂhEJ• hFˆubh)”}”(hŒ
r-multcomp”h#Œ1.4_24”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-multcomp-1.4_24-r43hc72bb7e_1.conda”h+Œ 7a6f16e58f64d8d9cc4744bb0cc43e27”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-multcomp-1.4_24-r43hc72bb7e_1.conda”h0Œ@cccc6937d2a789974bdadbebadee82f51ccfaa8648c4f6d8aac4c4dc36a69602”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-codetools”Œr-mvtnorm >=1.0_10”Œr-sandwich >=2.3_0”Œr-survival >=2.39_4”Œr-th.data >=1.0_2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¼lzáhEJv hFˆubh)”}”(hŒr-multcompview”h#Œ0.1_9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-multcompview-0.1_9-r41hc72bb7e_0.conda”h+Œ 303c067137839f1a1981b7685033939c”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multcompview-0.1_9-r41hc72bb7e_0.conda”h0Œ@81b18691890dc0c4a63b94a1433f22195700c20f88b8d3ba342786442168bc68”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0 and GPL-3.0”hBŒGPL”hDGAÙÀÀQìhEJ´
 hFˆubh)”}”(hŒr-multcompview”h#Œ0.1_9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-multcompview-0.1_9-r42hc72bb7e_0.conda”h+Œ 62dfc51f36728000b5a65a08b2708bdb”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multcompview-0.1_9-r42hc72bb7e_0.conda”h0Œ@9189af60dc14a3058f39124ab7ba6f80f6d1cc550ef1ad85784fb1f25907b4ca”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0 and GPL-3.0”hBŒGPL”hDGAÙ¿ô®VhEJÏ
 hFˆubh)”}”(hŒr-multcompview”h#Œ0.1_9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-multcompview-0.1_9-r42hc72bb7e_1.conda”h+Œ 12e765ecd932c4a6e3e1b28801112ed7”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multcompview-0.1_9-r42hc72bb7e_1.conda”h0Œ@6a9aa1b5ded76fd57aff77799506baa8d4f242d6f588b391dc2d514d53d6d622”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0 and GPL-3.0”hBŒGPL”hDGAÙ"µFð  hEJw	 hFˆubh)”}”(hŒr-multcompview”h#Œ0.1_9”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-multcompview-0.1_9-r43hc72bb7e_1.conda”h+Œ e9f5b46cff410cde1b9c96606fb36c5b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multcompview-0.1_9-r43hc72bb7e_1.conda”h0Œ@ded1f3dc551780072feaf5ec419fb86e3877ec964afe1491d300c0ea90acbb8e”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0 and GPL-3.0”hBŒGPL”hDGAÙ"µ>šJhEJ’ hFˆubh)”}”(hŒr-multiapply”h#Œ2.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-multiapply-2.1.4-r41hc72bb7e_0.conda”h+Œ 8e3493535d013080457c90ce0d81714f”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiapply-2.1.4-r41hc72bb7e_0.conda”h0Œ@b437f770304df85e7f7ac75ce5f0796f1f94a3eac74169528a8a462b6cc4c689”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œ	r-foreach”Œr-plyr”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙÅ2‘xÕhEMéhFˆubh)”}”(hŒr-multiapply”h#Œ2.1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-multiapply-2.1.4-r42hc72bb7e_0.conda”h+Œ 70da9e09dde5f1fb8e8810de24ce7aac”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiapply-2.1.4-r42hc72bb7e_0.conda”h0Œ@150665b73edd5a3c2afb4f0832a7dd8d27f6afca1dfe1a7fcdecb569d8b6e02c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-doparallel”Œ	r-foreach”Œr-plyr”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙÅ?§ß;hEMêhFˆubh)”}”(hŒr-multiapply”h#Œ2.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-multiapply-2.1.4-r42hc72bb7e_1.conda”h+Œ 7aa5a8ca336904418caeb7395fd867e6”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiapply-2.1.4-r42hc72bb7e_1.conda”h0Œ@d854014edc5609f89c6b9ddbb8311b3324420f6e73f8614dccae9f50b22f13a6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-doparallel”Œ	r-foreach”Œr-plyr”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"ætsÆ¨hEMœêhFˆubh)”}”(hŒr-multiapply”h#Œ2.1.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-multiapply-2.1.4-r43hc72bb7e_1.conda”h+Œ 72783cf9e09eeb47114fc506de126613”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiapply-2.1.4-r43hc72bb7e_1.conda”h0Œ@6937fa9f93946095e47f5a366595d0fdf6c53aba4bf84146bc52c366ccd570c1”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-doparallel”Œ	r-foreach”Œr-plyr”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"æ^VhEM¥êhFˆubh)”}”(hŒr-multidplyr”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-multidplyr-0.1.3-r41hc72bb7e_0.conda”h+Œ a827673f93cea08fff60ca5c20491cc5”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multidplyr-0.1.3-r41hc72bb7e_0.conda”h0Œ@09de7724f0057f45e2804a84b60924a93e4be74b6fd94053b8a79f4a7760e38d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr >=3.5.1”Œr-cli”Œr-crayon”Œr-dplyr >=1.0.0”Œ
r-magrittr”Œr-qs >=0.24.1”Œr-r6”Œr-rlang >=1.0.6”Œr-tibble”Œr-tidyselect”Œr-vctrs >=0.3.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙäð“uhEJ„³ hFˆubh)”}”(hŒr-multidplyr”h#Œ0.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-multidplyr-0.1.3-r42hc72bb7e_0.conda”h+Œ b3b8bfca01abbaa76a21822f753b0879”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multidplyr-0.1.3-r42hc72bb7e_0.conda”h0Œ@a9db40870b046e05c36087759236893d3ddd2fd81ea8e7fd835ef289dc82f050”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr >=3.5.1”Œr-cli”Œr-crayon”Œr-dplyr >=1.0.0”Œ
r-magrittr”Œr-qs >=0.24.1”Œr-r6”Œr-rlang >=1.0.6”Œr-tibble”Œr-tidyselect”Œr-vctrs >=0.3.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙäþ§ðhEJÓ³ hFˆubh)”}”(hŒr-multilevelmod”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-multilevelmod-1.0.0-r41hc72bb7e_0.conda”h+Œ be1319f078df2ad3a03c1d1a5117edc7”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multilevelmod-1.0.0-r41hc72bb7e_0.conda”h0Œ@2c45b3d9c1f5648a691ec7bbb1a274e3a28b9325d5118c6ec4a49be4ae631fda”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-lme4”Œr-parsnip >=1.0.0”Œr-purrr”Œr-rlang”Œr-tibble”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØýúê^5hEJ:* hFˆubh)”}”(hŒr-multilevelmod”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-multilevelmod-1.0.0-r42hc72bb7e_0.conda”h+Œ d355b13318f54587bd5dcb7339a07ae5”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multilevelmod-1.0.0-r42hc72bb7e_0.conda”h0Œ@42295044019f175c326af7ce6f96da96810ab337b0798010d519a72eafc00043”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-lme4”Œr-parsnip >=1.0.0”Œr-purrr”Œr-rlang”Œr-tibble”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØý õ?}hEJ' hFˆubh)”}”(hŒr-mumin”h#Œ1.47.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-mumin-1.47.5-r42hc72bb7e_0.conda”h+Œ bbfe30c9566d277b8f7ff43cf2c63758”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mumin-1.47.5-r42hc72bb7e_0.conda”h0Œ@38d48b48a48363ca55014093d9a87b83972c8b4e977f436415de5e54380a52c4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-insight”Œr-matrix”Œr-nlme”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ9‡íp¤hEJ¯ hFˆubh)”}”(hŒ	r-munsell”h#Œ0.5.0”h%Œr42hc72bb7e_1006”h'Mîhhh(h)hŒ&r-munsell-0.5.0-r42hc72bb7e_1006.conda”h+Œ 38eb6efc7fa1804565e82f6808fb95c7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-munsell-0.5.0-r42hc72bb7e_1006.conda”h0Œ@dbe5876b55f6c8db824b36f1369a73cf5d2508f4ea194d097f5a7d44bbd15de6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-colorspace”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"}¾¼‹DhEJ>Æ hFˆubh)”}”(hŒ	r-munsell”h#Œ0.5.0”h%Œr43hc72bb7e_1006”h'Mîhhh(h)hŒ&r-munsell-0.5.0-r43hc72bb7e_1006.conda”h+Œ 22f529a11473af44bbe5d481bef9008d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-munsell-0.5.0-r43hc72bb7e_1006.conda”h0Œ@e4e17f910b58b2af42d2020a14d8c688780ea47de20fb9b01d08191d237c94fe”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-colorspace”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"}±ç+hEJŽ¹ hFˆubh)”}”(hŒr-mvnormtest”h#Œ0.1_9”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ)r-mvnormtest-0.1_9-r42hc72bb7e_1005.conda”h+Œ f18e8752086e9f9a8d2e4b4d24f35334”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mvnormtest-0.1_9-r42hc72bb7e_1005.conda”h0Œ@918c6700b65c7e9b63784328572376daaca46b04359948d34858139beab670c0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAÙ#%1&éhEMMohFˆubh)”}”(hŒr-mvnormtest”h#Œ0.1_9”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ)r-mvnormtest-0.1_9-r43hc72bb7e_1005.conda”h+Œ a7da5dc5300b093ae57b184a71da52ca”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mvnormtest-0.1_9-r43hc72bb7e_1005.conda”h0Œ@c2b58dd802439ec2a829ee15b6336320b9dfb369cfccdf9fe69d89b505125296”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAÙ#*X  hEM:ohFˆubh)”}”(hŒr-nacho”h#Œ2.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-nacho-2.0.4-r41hc72bb7e_0.conda”h+Œ b09573eadcc0ff52e22db47295026e9e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-nacho-2.0.4-r41hc72bb7e_0.conda”h0Œ@682173b9cad205af4370759709abb5652698fb2896983e89ac0bcbf9e545d624”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-ggbeeswarm >=0.6.0”Œr-ggforce >=0.3.1”Œr-ggplot2 >=3.3.0”Œr-ggrepel >=0.8.1”Œr-knitr >=1.25”Œr-rmarkdown >=1.16”Œr-shiny >=1.4.0”Œr-shinywidgets >=0.4.9”t”h9hºh@ŒGPL-3.0-only”•      hBŒGPL3”hDGAÙ‡X-?}hEJ¹• hFˆubh)”}”(hŒr-nacho”h#Œ2.0.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-nacho-2.0.4-r42hc72bb7e_0.conda”h+Œ d5cd9c4e3e5f1b3969c16d9bc32725db”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-nacho-2.0.4-r42hc72bb7e_0.conda”h0Œ@b22c0d52a1bb3d3e398e9ce8756044091b560cd3ac48a8d34f6304cf3825f102”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-ggbeeswarm >=0.6.0”Œr-ggforce >=0.3.1”Œr-ggplot2 >=3.3.0”Œr-ggrepel >=0.8.1”Œr-knitr >=1.25”Œr-rmarkdown >=1.16”Œr-shiny >=1.4.0”Œr-shinywidgets >=0.4.9”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ‡CÛhEJ¢ž hFˆubh)”}”(hŒr-nada”h#Œ1.6_1.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ"r-nada-1.6_1.1-r42hc72bb7e_3.conda”h+Œ fe2682330964abff99b8c637afeb62d1”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-nada-1.6_1.1-r42hc72bb7e_3.conda”h0Œ@7436d0be4828ee4996cff40601fa254e1eed765fc9154ae7723087b7a4be8a93”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-survival”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"òÚ~úhEJ€ hFˆubh)”}”(hŒr-nada”h#Œ1.6_1.1”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ"r-nada-1.6_1.1-r43hc72bb7e_3.conda”h+Œ 31b0761980bcadb6153517426e0fbd43”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-nada-1.6_1.1-r43hc72bb7e_3.conda”h0Œ@6ada6a87f086c79841fc7ffaa153afb185cc9d4e1b8fd148ddce7a7342f60c40”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ
r-survival”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"òÐA‰hEJ€¥ hFˆubh)”}”(hŒr-naniar”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-naniar-1.0.0-r41hc72bb7e_0.conda”h+Œ 4b45b659336543fa482f9ad52208d2fa”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-naniar-1.0.0-r41hc72bb7e_0.conda”h0Œ@08dc53f14ef69698b8e1e11d7b02017e12595d8ac0a5ca02976fd735a16e1598”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-glue”Œ
r-magrittr”Œr-norm”Œr-purrr”Œr-rlang”Œr-tibble >=2.0.0”Œr-tidyr”Œr-upsetr”Œ	r-viridis”Œr-visdat”t”h9hºh@ŒMIT”hBŒMIT”hDGAØöírá‡hEJÕy% hFˆubh)”}”(hŒr-naniar”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-naniar-1.0.0-r42hc72bb7e_0.conda”h+Œ defaaf96097d9d6e1acd78a92ba1d5b4”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-naniar-1.0.0-r42hc72bb7e_0.conda”h0Œ@baf455f6feb91027a12e7dff34bd3da079fe83478d2fe5dcd4d091b99ce270a0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-glue”Œ
r-magrittr”Œr-norm”Œr-purrr”Œr-rlang”Œr-tibble >=2.0.0”Œr-tidyr”Œr-upsetr”Œ	r-viridis”Œr-visdat”t”h9hºh@ŒMIT”hBŒMIT”hDGAØöítæhEJoz% hFˆubh)”}”(hŒr-nasaaccess”h#Œ3.4.3”h%Œr41hd8ed1ab_0”h'K hhh(h)hŒ&r-nasaaccess-3.4.3-r41hd8ed1ab_0.conda”h+Œ a10a34f9c718563d0bb6f8215f5b760a”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-nasaaccess-3.4.3-r41hd8ed1ab_0.conda”h0Œ@580b0b8d7b22926a9a4ef47a01d8c20dfa4125f34101669fdfa5a7cecc295058”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-getpass”Œr-httr”Œ
r-maptools”Œr-ncdf4”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-shapefiles”Œr-sp”Œ	r-stringr”Œr-xml”t”h9hºh@ŒNASA-1.3”hBŒOTHER”hDGAÙzH1'hEJÐ hFˆubh)”}”(hŒr-nasaaccess”h#Œ3.4.3”h%Œr42hd8ed1ab_0”h'K hhh(h)hŒ&r-nasaaccess-3.4.3-r42hd8ed1ab_0.conda”h+Œ 70598b0a6a2cf2fd6e1cfd1a670f1558”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-nasaaccess-3.4.3-r42hd8ed1ab_0.conda”h0Œ@d1ad90d37e223a02e5e12054151e1e5557b047cf706443b03a79d7adc58b18c0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-getpass”Œr-httr”Œ
r-maptools”Œr-ncdf4”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-shapefiles”Œr-sp”Œ	r-stringr”Œr-xml”t”h9hºh@ŒNASA-1.3”hBŒOTHER”hDGAÙ‘©ühEJ¨Ð hFˆubh)”}”(hŒ	r-natserv”h#Œ1.0.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-natserv-1.0.0-r42hc72bb7e_2.conda”h+Œ 56c108d0e6351c8d6f9e3665a9302cb7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-natserv-1.0.0-r42hc72bb7e_2.conda”h0Œ@6fa415c311789d7714b54ed366c731261e691173cdf7a40b51767c4d6ea3a4fe”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.7.0”Œr-data.table >=1.12.0”Œr-tibble >=2.0.1”Œr-xml2 >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ætÙ&éhEJüN hFˆubh)”}”(hŒ	r-natserv”h#Œ1.0.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-natserv-1.0.0-r43hc72bb7e_2.conda”h+Œ 9013e50f2be508233accbe64381d9a73”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-natserv-1.0.0-r43hc72bb7e_2.conda”h0Œ@060d31d3b26c040d2e358058d46dc90f923c40d8880e4c65957fa613a7fb4100”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crul >=0.7.0”Œr-data.table >=1.12.0”Œr-tibble >=2.0.1”Œr-xml2 >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"æŽ‹÷ÏhEJÃL hFˆubh)”}”(hŒ	r-nbclust”h#Œ3.0.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-nbclust-3.0.1-r42hc72bb7e_2.conda”h+Œ fffd3a5ced3a6949fe7a20af1ff4b2c6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-nbclust-3.0.1-r42hc72bb7e_2.conda”h0Œ@2d7cb9ea90bf8837c941557c5bbe7ddbec513a90fac7b5f0db482ab80309a43b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"òž$ÝhEJX hFˆubh)”}”(hŒ	r-nbclust”h#Œ3.0.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-nbclust-3.0.1-r43hc72bb7e_2.conda”h+Œ 1a7497d490b8f19d192c26040b6b35e5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-nbclust-3.0.1-r43hc72bb7e_2.conda”h0Œ@1b2ee5ba2e7dac4f78c4d9febd9d8ba7ee4d10af0686c36b1fb947510372f430”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ò7l‹hEJ hFˆubh)”}”(hŒr-ncbit”h#Œ2013.03.29.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-ncbit-2013.03.29.1-r42hc72bb7e_2.conda”h+Œ 86809e18c28ee3fb6cc0cc42a57f4aab”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ncbit-2013.03.29.1-r42hc72bb7e_2.conda”h0Œ@3ac3a4f375f0047d029e555ec50cb29372f4d7e7421cdacd3423ede1d7767ac5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ò²-hEJôN— hFˆubh)”}”(hŒr-ncbit”h#Œ2013.03.29.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-ncbit-2013.03.29.1-r43hc72bb7e_2.conda”h+Œ 7cc3eee352f7a6848721af2fa5c7610c”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ncbit-2013.03.29.1-r43hc72bb7e_2.conda”h0Œ@651d3e52824434d5524fe1133c430ccae0e71201703b2db2a224420a6200b253”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ò?;dhEJXP— hFˆubh)”}”(hŒ	r-netmeta”h#Œ2.8_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-netmeta-2.8_2-r41hc72bb7e_0.conda”h+Œ 4e5d028a380960e43c8d3f5991372d92”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-netmeta-2.8_2-r41hc72bb7e_0.conda”h0Œ@8947c0937d68f473a73b9d25667d023826c6982b9a942eb87979463e8ff732a2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-magic”Œr-mass”Œr-meta >=5.0_0”Œ	r-metafor”Œr-rmarkdown”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙŽ.6—hEJø– hFˆubh)”}”(hŒ	r-netmeta”h#Œ2.8_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-netmeta-2.8_2-r42hc72bb7e_0.conda”h+Œ 27c21fa725ffa22437542e310d3a3c33”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-netmeta-2.8_2-r42hc72bb7e_0.conda”h0Œ@b204f7deb5fac446eda4c00692b13c96e9b3df2e3aae39eda692da2d8ed71296”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-magic”Œr-mass”Œr-meta >=5.0_0”Œ	r-metafor”Œr-rmarkdown”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙŽ:¦5?hEJÎ” hFˆubh)”}”(hŒr-networkcomparisontest”h#Œ2.2.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ1r-networkcomparisontest-2.2.1-r42hc72bb7e_2.conda”h+Œ c99b9127e4f3f789ca33bd1d752e18e2”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/r-networkcomparisontest-2.2.1-r42hc72bb7e_2.conda”h0Œ@639cff311139e76c3f756911a2d43426706734a9c440c2fcf6104ad996ccf361”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-isingfit”Œr-isingsampler”Œr-matrix”Œr-qgraph”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#HfÈ´hEM`ùhFˆubh)”}”(hŒr-networkcomparisontest”h#Œ2.2.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ1r-networkcomparisontest-2.2.1-r43hc72bb7e_2.conda”h+Œ fd3097a7ba2ae1be213489500a6bf23c”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/r-networkcomparisontest-2.2.1-r43hc72bb7e_2.conda”h0Œ@a970bc0366b8170130c4ffddba0355c87b806090f948695d9af739b8b1d60b50”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ
r-isingfit”Œr-isingsampler”Œr-matrix”Œr-qgraph”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#5…hEMOùhFˆubh)”}”(hŒr-networklite”h#Œ1.0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-networklite-1.0.5-r41hc72bb7e_0.conda”h+Œ 722e0a1e191d0c6a6f33c1b43d85e3af”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-networklite-1.0.5-r41hc72bb7e_0.conda”h0Œ@e908391bbfb324871ba2d6487897c31fd632ef980b202d83a9885b12bbb7ef0a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-network >=1.18.1”Œr-statnet.common >=4.8.0”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙˆhå`hEJ¨ö hFˆubh)”}”(hŒr-networklite”h#Œ1.0.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-networklite-1.0.5-r42hc72bb7e_0.conda”h+Œ 57ca58632c16efbd096428c4cf527d33”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-networklite-1.0.5-r42hc72bb7e_0.conda”h0Œ@b969fb8fa08df2c354fcef8126984d7b3f5a4434b2d785421d128c25aa88decd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-network >=1.18.1”Œr-statnet.common >=4.8.0”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙˆfvÙhEJbö hFˆubh)”}”(hŒr-networklite”h#Œ1.0.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-networklite-1.0.5-r42hc72bb7e_1.conda”h+Œ 79b007d44e8628f50ef862f74c6e45c6”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-networklite-1.0.5-r42hc72bb7e_1.conda”h0Œ@26d07966d120fd99a44434c54666a911d1062a0c2187f817c5560719435b4bf3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-network >=1.18.1”Œr-statnet.common >=4.8.0”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"òŽVhEJø hFˆubh)”}”(hŒr-networklite”h#Œ1.0.5”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-networklite-1.0.5-r43hc72bb7e_1.conda”h+Œ 4c760800f6da3b2d53f80176a1fea345”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-networklite-1.0.5-r43hc72bb7e_1.conda”h0Œ@1c17aab98f5f0529ece35f34d0e17e65317dd8fcba1adb54a8113e20233391c1”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr”Œr-network >=1.18.1”Œr-statnet.common >=4.8.0”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ò
–§ðhEJ¡õ hFˆubh)”}”(hŒr-nlp”h#Œ0.2_1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒr-nlp-0.2_1-r42hc72bb7e_3.conda”h+Œ a4b67e1f84826c82cc88816542993e6f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-nlp-0.2_1-r42hc72bb7e_3.conda”h0Œ@041ae1d0229a992f4a17114f117f1c3e8fa13bbe869f07288d9b163721a6848f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ÿ„{t¼hEJ_4 hFˆubh)”}”(hŒr-nlp”h#Œ0.2_1”h%Œr43hc72bb7e_3”h'Khhh(h)hŒr-nlp-0.2_1-r43hc72bb7e_3.conda”h+Œ 9b3c622718d37889b5a3c51358f38a8b”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-nlp-0.2_1-r43hc72bb7e_3.conda”h0Œ@146373dd2c4da063c6000a8502ffd509b47ea15150d35cafb392685b6531898a”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ÿ€û"ÑhEJó, hFˆubh)”}”(hŒ
r-nntensor”h#Œ1.1.13”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-nntensor-1.1.13-r41hc72bb7e_0.conda”h+Œ fafc7ca5ceb250ba70279292f73feefd”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-nntensor-1.1.13-r41hc72bb7e_0.conda”h0Œ@8c9058a47a2d03c2c749c4d71c30124d2fec6279077c5d6f8de6f1029d336b13”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fields”Œ	r-ggplot2”Œr-plot3d”Œ	r-rtensor”Œ
r-tagcloud”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ”1hEJ)¦ hFˆubh)”}”(hŒ
r-nntensor”h#Œ1.1.13”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-nntensor-1.1.13-r42hc72bb7e_0.conda”h+Œ 25814a1077790e2747a68c3b6157d74f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-nntensor-1.1.13-r42hc72bb7e_0.conda”h0Œ@d6933e0d5feafa703a9807b02b85ad99b56dcb36e4411032777ed7c877462692”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fields”Œ	r-ggplot2”Œr-plot3d”Œ	r-rtensor”Œ
r-tagcloud”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙŒ÷ß;hEJØ§ hFˆubh)”}”(hŒr-nodbi”h#Œ0.9.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-nodbi-0.9.5-r41hc72bb7e_0.conda”h+Œ 1f2f7d2924b985c959288989f47610d8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-nodbi-0.9.5-r41hc72bb7e_0.conda”h0Œ@71586fb8437320bb30ec2ed06209c035dd8ef30a1fe03e38b3b574414b929be8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dbi”Œr-jqr”Œ	r-jsonify”Œ
r-jsonlite”Œ	r-stringi”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙD™¡&éhEJˆr
 hFˆubh)”}”(hŒr-nodbi”h#Œ0.9.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-nodbi-0.9.5-r42hc72bb7e_0.conda”h+Œ 71b889e263745f75181fedee620da79d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-nodbi-0.9.5-r42hc72bb7e_0.conda”h0Œ@83c3a6a3bc46626101706ec9ec7ca80d18cb607ed57c6ca074f75cf8eea60095”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dbi”Œr-jqr”Œ	r-jsonify”Œ
r-jsonlite”Œ	r-stringi”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙD¡¬hEJòu
 hFˆubh)”}”(hŒr-nodiv”h#Œ1.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-nodiv-1.4.1-r41hc72bb7e_0.conda”h+Œ b8ce9f73e96a18e8b6422a3ed405eb85”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-nodiv-1.4.1-r41hc72bb7e_0.conda”h0Œ@48c7775d4073477a496f15148efc72e1c3ab2b386a841a913c82817edef96040”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œ	r-picante”Œr-raster”Œr-sp”Œr-vegan”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙïÙún˜hEJ6â hFˆubh)”}”(hŒr-nodiv”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-nodiv-1.4.1-r42hc72bb7e_0.conda”h+Œ b1c4a40218dc50020c86847083ba3bc2”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-nodiv-1.4.1-r42hc72bb7e_0.conda”h0Œ@67cd78db48d1dc87ad3e33caa4e3afebad846af7988985bd798140cb70504442”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œ	r-picante”Œr-raster”Œr-sp”Œr-vegan”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙï×ô›¦hEJâ hFˆubh)”}”(hŒ	r-nomnoml”h#Œ0.2.6”h%Œr41h785f33e_0”h'K hhh(h)hŒ#r-nomnoml-0.2.6-r41h785f33e_0.conda”h+Œ 758133a8ce974379e5132286e66b323f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-nomnoml-0.2.6-r41h785f33e_0.conda”h0Œ@3e31933f3f9755e44c609426fd303f1884de5dc4cc2c46198a0af81766114de1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets”Œr-lifecycle”Œr-png”Œr-rlang”Œ	r-webshot”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ”"ìZhEJ‘ñ hFˆubh)”}”(hŒ	r-nomnoml”h#Œ0.2.6”h%Œr42h785f33e_0”h'K hhh(h)hŒ#r-nomnoml-0.2.6-r42h785f33e_0.conda”h+Œ 05b74a8d443f54a00a6f91a1118a2267”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-nomnoml-0.2.6-r42h785f33e_0.conda”h0Œ@8d14bcee91a56794bd36bdcc52c086e97995280cf04d6fa10fe9729fff9ada12”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmlwidgets”Œr-lifecycle”Œr-png”Œr-rlang”Œ	r-webshot”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ”Ó…hEJ9ê hFˆubh)”}”(hŒ	r-nortest”h#Œ1.0_4”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ&r-nortest-1.0_4-r42hc72bb7e_1005.conda”h+Œ 295aad7754d44675eaae68ee85baaa21”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-nortest-1.0_4-r42hc72bb7e_1005.conda”h0Œ@0c0a0bb058c299010a5129e552abde2436342ac5c52eeab4278905420ab14860”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"¸£EÒòhEMWÚhFˆubh)”}”(hŒ	r-nortest”h#Œ1.0_4”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ&r-nortest-1.0_4-r43hc72bb7e_1005.conda”h+Œ 5cc20886b25b59b19edcc06ef4b5c713”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-nortest-1.0_4-r43hc72bb7e_1005.conda”h0Œ@7064ecd886a5b8ba4d4152ba27425995354e793ea19657be2d2ba9e36f461fa1”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"¸¾çmhEMcØhFˆubh)”}”(hŒr-nplyr”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-nplyr-0.2.0-r41hc72bb7e_0.conda”h+Œ 60ec4aa9cf8e0366c781eb81c9f97615”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-nplyr-0.2.0-r41hc72bb7e_0.conda”h0Œ@466c95cb18c5fc7fb4c388d425f705fb808d409f88c7cefbee0d9f88a727451a”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-purrr”Œr-rlang”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØû&]VhEJz¤ hFˆubh)”}”(hŒr-nplyr”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-nplyr-0.2.0-r42hc72bb7e_0.conda”h+Œ 23d4ef00243e25f3e713cf3091d43898”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-nplyr-0.2.0-r42hc72bb7e_0.conda”h0Œ@5bcec6daea80478953032704dd35267ed90f47699da139ecb7d3890a2c7ad8e0”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-purrr”Œr-rlang”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØû&Å¸hEJy¢ hFˆubh)”}”(hŒr-npsurv”h#Œ0.5_0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-npsurv-0.5_0-r42hc72bb7e_2.conda”h+Œ 0cacc316d4ad68e3538dd28efcbe523c”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-npsurv-0.5_0-r42hc72bb7e_2.conda”h0Œ@6529da215feddadaf43fa727a7e05b04c95ecfc03e90bc61cd766bd9b4dca2c9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lsei”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÆQš=qhEJvö hFˆubh)”}”(hŒr-npsurv”h#Œ0.5_0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-npsurv-0.5_0-r43hc72bb7e_2.conda”h+Œ 4e367b8920b687a52ee1297b3dae9695”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-npsurv-0.5_0-r43hc72bb7e_2.conda”h0Œ@67c2fc25838d65e69e9e1cd9ad2c25a5cc3ecca4158c62ed33017181a395165d”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-lsei”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÆPÃ×
hEJ´õ hFˆubh)”}”(hŒ	r-numbers”h#Œ0.8_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-numbers-0.8_5-r41hc72bb7e_0.conda”h+Œ 9537c62c948be0e01858421b46396e46”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-numbers-0.8_5-r41hc72bb7e_0.conda”h0Œ@0fcac0b328a11036e6c7bdfaffd3b3da899724cb7b4e1e785394a3417979f297”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØß‚¶ ÄœhEJ‹Ø hFˆubh)”}”(hŒ	r-numbers”h#Œ0.8_5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-numbers-0.8_5-r42hc72bb7e_0.conda”h+Œ b06bef4b2a43a5261300c80c05488cc9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-numbers-0.8_5-r42hc72bb7e_0.conda”h0Œ@eb749dcbdeed91ec1bd44c9ab8894f822e354d7ab58635806c5202cf3d8c59be”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØß‚ª¸bhEJ$Ú hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr42hc72bb7e_5”h'Khhh(h)hŒ)r-numderiv-2016.8_1.1-r42hc72bb7e_5.conda”h+Œ 29ff062c7cb55b377de144ca1ee78216”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r42hc72bb7e_5.conda”h0Œ@d0b586eb6062a3013e660b09406d3eaf145098dc1cd69358614d7caf119cb3f2”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"s(…hEJó hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr43hc72bb7e_5”h'Khhh(h)hŒ)r-numderiv-2016.8_1.1-r43hc72bb7e_5.conda”h+Œ 4e8107794e4938ef29f9fb2906789eba”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r43hc72bb7e_5.conda”h0Œ@c49fa17b332392ff55cc0b5cdeba82739a38a9ce8bb708658ba9de2908ecec89”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"s>+ohEJ“ñ hFˆubh)”}”(hŒr-oai”h#Œ0.4.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-oai-0.4.0-r42hc72bb7e_1.conda”h+Œ e5f3fb6ff84a1bcbf9890545e51415d2”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-oai-0.4.0-r42hc72bb7e_1.conda”h0Œ@333c7fe325e7a719d27eed703a6f75a8cb193a64906a716ccfabc5ee25e9cd79”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr >=1.2.0”Œr-plyr >=1.8.4”Œr-stringr >=1.1.0”Œr-tibble >=1.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñÛÙ‡hEJq hFˆubh)”}”(hŒr-oai”h#Œ0.4.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-oai-0.4.0-r43hc72bb7e_1.conda”h+Œ ec63dbfa5c113fa2f7d9f013810d40c6”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-oai-0.4.0-r43hc72bb7e_1.conda”h0Œ@797bf362bcbc73877e3926aa25d2f0ad130b61e3b80d9f3d03517c4facd7be94”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-httr >=1.2.0”Œr-plyr >=1.8.4”Œr-stringr >=1.1.0”Œr-tibble >=1.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñà· hEJ}Š hFˆubh)”}”(hŒr-obistools”h#Œ0.0.10”h%Œr41hd8ed1ab_2”h'Khhh(h)hŒ&r-obistools-0.0.10-r41hd8ed1ab_2.conda”h+Œ 037cf5dd216486037c8c6ce5ade95702”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-obistools-0.0.10-r41hd8ed1ab_2.conda”h0Œ@b70c60b68e5ccb1e830c9c95772cc49edb68b7f8ae6291a278c734d95a7be65f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-data.tree”Œr-digest”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ	r-leaflet”Œr-maps”Œ
r-rappdirs”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-rmarkdown”Œr-sf”Œr-sp”Œ	r-stringr”Œr-tidyr”Œr-worrms”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ5þ’ñªhEJ¥Å hFˆubh)”}”(hŒr-obistools”h#Œ0.0.10”h%Œr42hd8ed1ab_2”h'Khhh(h)hŒ&r-obistools-0.0.10-r42hd8ed1ab_2.conda”h+Œ 5165bcdc9a9dae32983a1bea08599478”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-obistools-0.0.10-r42hd8ed1ab_2.conda”h0Œ@a07753bffb7b8d1def7dd70d255286ea8d02f39da75389db8976c80156d5aa7f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cowplot”Œr-data.tree”Œr-digest”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ	r-leaflet”Œr-maps”Œ
r-rappdirs”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-rmarkdown”Œr-sf”Œr-sp”Œ	r-stringr”Œr-tidyr”Œr-worrms”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ5í bNhEJ¿Ç hFˆubh)”}”(hŒr-officedown”h#Œ0.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-officedown-0.3.0-r41hc72bb7e_0.conda”h+Œ 388c26cfc87644fd3a91508f683e35bf”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-officedown-0.3.0-r41hc72bb7e_0.conda”h0Œ@cd2c57e1fbb3c6c1a246d39068a22b2f8327ec14c0983da072c850ae37dca250”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-knitr”Œ	r-memoise”Œr-officer >=0.3.18”Œr-rlang”Œr-rmarkdown”Œr-rvg >=0.2.2”Œr-uuid”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØî1ÍØQìhEJ¨Ï hFˆubh)”}”(hŒr-officedown”h#Œ0.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-officedown-0.3.0-r42hc72bb7e_0.conda”h+Œ 914d38da6ef6d340ee7c8636c5f4803d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-officedown-0.3.0-r42hc72bb7e_0.conda”h0Œ@58c7e6b4df730ad71344fe2afcb2be461ec1252e8e26363094852981475c2a3e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-knitr”Œ	r-memoise”Œr-officer >=0.3.18”Œr-rlang”Œr-rmarkdown”Œr-rvg >=0.2.2”Œr-uuid”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØî1ÛýôhEJçÌ hFˆubh)”}”(hŒ	r-officer”h#Œ0.6.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-officer-0.6.2-r41hc72bb7e_0.conda”h+Œ 3c56c140fa6c30f5dc59efc68de3cf53”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-officer-0.6.2-r41hc72bb7e_0.conda”h0Œ@cf03282a52d2ad4b57631a7558e307483c63fd1657703cbb2cadb637ff290779”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-openssl”Œr-r6”Œr-ragg”Œr-uuid”Œr-xml2 >=1.1.0”Œr-zip >=2.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙßÇ¬9XhEJ¹ hFˆubh)”}”(hŒ	r-officer”h#Œ0.6.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-officer-0.6.2-r42hc72bb7e_0.conda”h+Œ 8e9c5f8f2bc48e50b0f006907948c61f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-officer-0.6.2-r42hc72bb7e_0.conda”h0Œ@9fe5df256ec6b72c98d0c80aaec4840bccb7433209300debcf7b42ae168a8f0a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-openssl”Œr-r6”Œr-ragg”Œr-uuid”Œr-xml2 >=1.1.0”Œr-zip >=2.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙß½¼›¦hEJ‡Ü hFˆubh)”}”(hŒ	r-officer”h#Œ0.6.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-officer-0.6.2-r42hc72bb7e_1.conda”h+Œ e0cd3816215729b58b91444a34ee507a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-officer-0.6.2-r42hc72bb7e_1.conda”h0Œ@698f6aa038a77e70ce75837c67b3b2e0d6e3fd3c0badef520cfb3fdb76428c58”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-openssl”Œr-r6”Œr-ragg”Œr-uuid”Œr-xml2 >=1.1.0”Œr-zip >=2.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥ã.éyhEJ‡ä hFˆubh)”}”(hŒ	r-officer”h#Œ0.6.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-officer-0.6.2-r43hc72bb7e_1.conda”h+Œ f522279ca76e1de9c863d582700d51d8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-officer-0.6.2-r43hc72bb7e_1.conda”h0Œ@2b3fae7da782f0672f82b231529b20200383ddb34b85b725968feca533c46e38”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-openssl”Œr-r6”Œr-ragg”Œr-uuid”Œr-xml2 >=1.1.0”Œr-zip >=2.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥ãì9XhEJÍÒ hFˆubh)”}”(hŒr-olinkanalyze”h#Œ3.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-olinkanalyze-3.4.1-r42hc72bb7e_0.conda”h+Œ 42e883cc54a40eda01d6243384f7ecfd”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-olinkanalyze-3.4.1-r42hc72bb7e_0.conda”h0Œ@74efcb8475428d1d8cff04acc439d73f996ad8dd01c8913773942cb6e6e842b3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-car”Œr-dplyr”Œ	r-emmeans”Œ	r-forcats”Œ
r-generics”Œ	r-ggplot2”Œr-ggpubr”Œ	r-ggrepel”Œr-lme4”Œ
r-lmertest”Œ
r-magrittr”Œr-readxl”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAÙ[Œë…hEJë´! hFˆubh)”}”(hŒr-omicnavigator”h#Œ1.13.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-omicnavigator-1.13.6-r41hc72bb7e_0.conda”h+Œ 3418f0b7881492e625ec78e804f562d2”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-omicnavigator-1.13.6-r41hc72bb7e_0.conda”h0Œ@22afcd14d5a37b4cef16190b8250f112d20f7807138d8b6240eb70487ef92e9f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.12.4”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØð18QìhEJ&M hFˆubh)”}”(hŒr-omicnavigator”h#Œ1.13.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-omicnavigator-1.13.6-r42hc72bb7e_0.conda”h+Œ 34af4d30df28ceef511b2ee468cdff60”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-omicnavigator-1.13.6-r42hc72bb7e_0.conda”h0Œ@7e3888811c383b4f2749e31e8fb459bfa7d6c8ce4374849252ac4dc5d1516897”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.12.4”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØð10“uhEJqR hFˆubh)”}”(hŒr-onesamplemr”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-onesamplemr-0.1.3-r41hc72bb7e_0.conda”h+Œ 8dd4ce361b53cf6d4af43acf610aacd1”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-onesamplemr-0.1.3-r41hc72bb7e_0.conda”h0Œ@6014c6ad235a12a0c4469cb9da19b88bdc6383dfea198dcde8e1c84ecbe6fa46”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-formula”Œr-gmm”Œr-ivreg”Œr-lmtest”Œr-msm”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ£°
\hEJ¯ hFˆubh)”}”(hŒr-onesamplemr”h#Œ0.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-onesamplemr-0.1.3-r42hc72bb7e_0.conda”h+Œ 2659cbd25655cfff5730f31f317998e0”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-onesamplemr-0.1.3-r42hc72bb7e_0.conda”h0Œ@e64f4ec0c9749cf06c4e2e38af9521205420551d97ab23425bc101b0ae39d018”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-formula”Œr-gmm”Œr-ivreg”Œr-lmtest”Œr-msm”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ£§ùë…hEJY hFˆubh)”}”(hŒr-onewaytests”h#Œ2.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-onewaytests-2.7-r41hc72bb7e_0.conda”h+Œ da6f58f3f8f1a685fcd5ad591f9577d1”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-onewaytests-2.7-r41hc72bb7e_0.conda”h0Œ@45ad182e1238d9bd72c537ae7fa36a874abd09e4417f43c8f78e985ac0abbed3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ	r-ggplot2”Œ	r-moments”Œ	r-nortest”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØóffvÉhEJÃª hFˆubh)”}”(hŒr-onewaytests”h#Œ2.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-onewaytests-2.7-r42hc72bb7e_0.conda”h+Œ 01252be93805bb23b4630e992ab839a8”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-onewaytests-2.7-r42hc72bb7e_0.conda”h0Œ@5267370379391d9b48bc4a073d4f7a21c104b0f74cca94819272dff3659a7fef”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œ	r-ggplot2”Œ	r-moments”Œ	r-nortest”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØóhQìhEJ·« hFˆubh)”}”(hŒr-ontologyindex”h#Œ2.11”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-ontologyindex-2.11-r41hc72bb7e_0.conda”h+Œ 3a08223d79c84feb8c6d67969f490545”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ontologyindex-2.11-r41hc72bb7e_0.conda”h0Œ@72be67cebe15b883a7c8abb87fda595b963e10f49418d8732d2e2815b8f0d26d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ‘•"áHhEJÜ” hFˆubh)”}”(hŒr-ontologyindex”h#Œ2.11”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-ontologyindex-2.11-r42hc72bb7e_0.conda”h+Œ bcdd89a3f9b4ffa18f7d84d6e348ca61”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ontologyindex-2.11-r42hc72bb7e_0.conda”h0Œ@500fd8d4d83b26a77609993a604ddc1f65e3db758e812a09930d8d7e6f09dc5c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ‘Œ±ûçhEJ'” hFˆubh)”}”(hŒr-ontologyindex”h#Œ2.11”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-ontologyindex-2.11-r42hc72bb7e_1.conda”h+Œ 6a0945cd6f89af63686083426c454d63”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ontologyindex-2.11-r42hc72bb7e_1.conda”h0Œ@3727a8b110c0d45d6c3bf3c066af72b135ae4699d2f8f1837705a6c3a1421244”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#ÿ
=hEJ—” hFˆubh)”}”(hŒr-ontologyindex”h#Œ2.11”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-ontologyindex-2.11-r43hc72bb7e_1.conda”h+Œ 5dfabb2d92cf3c3c06be2b3d9902164a”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ontologyindex-2.11-r43hc72bb7e_1.conda”h0Œ@fe6514265fb06245fe29d93a1e86ab1e690675233ea605e00c3a3e452911e997”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ#˜r°hEJ¥˜ hFˆubh)”}”(hŒr-oompabase”h#Œ3.2.9”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ%r-oompabase-3.2.9-r42hc72bb7e_3.conda”h+Œ 2331d427413e61fb78bc14c340bf5dee”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-oompabase-3.2.9-r42hc72bb7e_3.conda”h0Œ@b4c054ec24a10c4f15a053bfe0975c943571b3a16642cbbbcfb25d44e4b73543”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ#þš^5hEJïÅ hFˆubh)”}”(hŒr-oompabase”h#Œ3.2.9”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ%r-oompabase-3.2.9-r43hc72bb7e_3.conda”h+Œ 463f920711d66799b2f5e1a313c60491”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-oompabase-3.2.9-r43hc72bb7e_3.conda”h0Œ@be32e68b1729603aa0f9a6dbebbaa1a3dc3ee72138a23d285c42b2b082a3fb81”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-cluster”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ#˜r°hEJƒô hFˆubh)”}”(hŒr-oompadata”h#Œ3.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-oompadata-3.1.3-r41hc72bb7e_0.conda”h+Œ faf7cb08daeef3b045ef9310238a881e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-oompadata-3.1.3-r41hc72bb7e_0.conda”h0Œ@f8dcb5738ed2c380905d9115c6e51f93c4ce37baffa6f1737d87a652a460aca5”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØâ›‡¸RhEJ!l" hFˆubh)”}”(hŒr-oompadata”h#Œ3.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-oompadata-3.1.3-r42hc72bb7e_0.conda”h+Œ d970ac66ac1ab6ef574b5c3c59224da9”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-oompadata-3.1.3-r42hc72bb7e_0.conda”h0Œ@bae9c88cf0442dbf75ba2ebb1300a76bd83666982460a68b3e4c5e5fbfa377a9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØâ›ŠH“uhEJÝl" hFˆubh)”}”(hŒr-ooplah”h#Œ0.2.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-ooplah-0.2.0-r42hc72bb7e_2.conda”h+Œ 27714435a33c27e1cb0dd62ab3ba0399”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ooplah-0.2.0-r42hc72bb7e_2.conda”h0Œ@f5c40a4d7d9613568bc212c3abacb03b572dc6c781417c0295c7fc9223bc5b7f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r6”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"æˆlZhEJÈk hFˆubh)”}”(hŒr-ooplah”h#Œ0.2.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-ooplah-0.2.0-r43hc72bb7e_2.conda”h+Œ b0b775dadf468e8b9820f2344eaffb4a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ooplah-0.2.0-r43hc72bb7e_2.conda”h0Œ@219a8e35887b077664135993a2ddd038ad9eb6b4f34fd619e0ca1717db92fbf7”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-r6”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"æZ³¶FhEJäb hFˆubh)”}”(hŒr-opdisdownsampling”h#Œ0.8.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ-r-opdisdownsampling-0.8.2-r41hc72bb7e_0.conda”h+Œ 823242f2bf640651c5f23b7a7795ced9”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-opdisdownsampling-0.8.2-r41hc72bb7e_0.conda”h0Œ@6d864cb3b476bcf1775579aa20ae313522914cab2553ab3526f95da8bf161f7e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-benchmarkme”Œ	r-catools”Œr-doparallel”Œ	r-foreach”Œr-memuse”Œr-pracma”Œr-twosamples”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôžÍC×
hEJúA5 hFˆubh)”}”(hŒr-opdisdownsampling”h#Œ0.8.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ-r-opdisdownsampling-0.8.2-r42hc72bb7e_0.conda”h+Œ d3d7e8b189c8e498c41ad69cfa952271”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-opdisdownsampling-0.8.2-r42hc72bb7e_0.conda”h0Œ@d9b300134d2636fa5ba24c5540f2646d2cd14401a0e5a376189bbeb190833089”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-benchmarkme”Œ	r-catools”Œr-doparallel”Œ	r-foreach”Œr-memuse”Œr-pracma”Œr-twosamples”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôžÊ×\)hEJê@5 hFˆubh)”}”(hŒ	r-opencpu”h#Œ2.2.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-opencpu-2.2.9-r41hc72bb7e_0.conda”h+Œ 52014eb93c43c0895018959c16e9afa7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-opencpu-2.2.9-r41hc72bb7e_0.conda”h0Œ@a677db66f93bd92cd49b4c0f6f96d3911604270438c01f463dc4572b22823f30”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-brew”Œr-curl >=2.6”Œr-evaluate >=0.12”Œr-httpuv >=1.3”Œr-jsonlite >=1.4”Œr-knitr >=1.6”Œr-mime”Œ	r-openssl”Œr-protolite”Œ
r-rappdirs”Œr-remotes >=2.0.2”Œr-sendmailr”Œr-sys >=2.1”Œr-webutils >=0.6”Œr-zip”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ X´jhEJ hFˆubh)”}”(hŒ	r-opencpu”h#Œ2.2.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-opencpu-2.2.9-r42hc72bb7e_0.conda”h+Œ 1c53572ec0960d9c6150c43af33b4ef2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-opencpu-2.2.9-r42hc72bb7e_0.conda”h0Œ@64ed8a0d68ab771c054d569fb58c7bc45816b1ad3eda9592e1d436a8549af177”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-brew”Œr-curl >=2.6”Œr-evaluate >=0.12”Œr-httpuv >=1.3”Œr-jsonlite >=1.4”Œr-knitr >=1.6”Œr-mime”Œ	r-openssl”Œr-protolite”Œ
r-rappdirs”Œr-remotes >=2.0.2”Œr-sendmailr”Œr-sys >=2.1”Œr-webutils >=0.6”Œr-zip”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ X»‘hhEJµ hFˆubh)”}”(hŒr-operator.tools”h#Œ1.6.3”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ-r-operator.tools-1.6.3-r42hc72bb7e_1005.conda”h+Œ d306b39482ff19ab89ae973c0df98e16”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-operator.tools-1.6.3-r42hc72bb7e_1005.conda”h0Œ@44bc736476e8196842cb5892e93aebbf344a7fff75fc546f1e50705892e9c3a0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Ù¯FùÛhEJü hFˆubh)”}”(hŒr-operator.tools”h#Œ1.6.3”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ-r-operator.tools-1.6.3-r43hc72bb7e_1005.conda”h+Œ 0c5aa193283b5387649474ce8b6a6fc9”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/r-operator.tools-1.6.3-r43hc72bb7e_1005.conda”h0Œ@94c3e0594846c602b9e35c4e74d8c4d6477577c934a140763fa1f54257d9e447”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Ù°KÇhEJ§ hFˆubh)”}”(hŒr-optextras”h#Œ	2019_12.4”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ)r-optextras-2019_12.4-r42hc72bb7e_3.conda”h+Œ 00936f6199d30d2c362acbbfaa88ce18”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optextras-2019_12.4-r42hc72bb7e_3.conda”h0Œ@e96e52e67027b7ebe735712505152aae5dca08fa1d2fa22a86fee26cdda6c4e6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ#zJhEJG hFˆubh)”}”(hŒr-optextras”h#Œ	2019_12.4”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ)r-optextras-2019_12.4-r43hc72bb7e_3.conda”h+Œ b2f219165170843075f6dcc32fac8d2d”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optextras-2019_12.4-r43hc72bb7e_3.conda”h0Œ@7c0fe300d80d04ee098b81604a999584a0eb6a2694e77a020afa59e6bb9aba80”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ#’\hEJìÿ hFˆubh)”}”(hŒr-optimparallel”h#Œ1.0_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-optimparallel-1.0_2-r42hc72bb7e_2.conda”h+Œ 9636f065a0cc4168f453ab70bdbe8bb6”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimparallel-1.0_2-r42hc72bb7e_2.conda”h0Œ@17d50eeeee10fd7101f04bf62e3252289f797dfb31fc266b4d1187b2b750a28c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"Ù·l“hEJ›? hFˆubh)”}”(hŒr-optimparallel”h#Œ1.0_2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ)r-optimparallel-1.0_2-r43hc72bb7e_2.conda”h+Œ 31a68e28d92e44bbc2336f2f147acd82”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimparallel-1.0_2-r43hc72bb7e_2.conda”h0Œ@9452e42d932811e72aa3ee57288da1240061ef35bc38b3bb35a71cc9016fb3bc”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"Ù«QìhEJ@ hFˆubh)”}”(hŒr-optimx”h#Œ	2022_4.30”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-optimx-2022_4.30-r42hc72bb7e_2.conda”h+Œ 2cc8dfce4276e5ee66c6c26780f48d38”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-optimx-2022_4.30-r42hc72bb7e_2.conda”h0Œ@363f0d596e34cbf903860bf1d0cc9f176e6554f7cc98efa5f90d77ec30107a82”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#÷¦VhEJm hFˆubh)”}”(hŒr-optimx”h#Œ	2022_4.30”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-optimx-2022_4.30-r43hc72bb7e_2.conda”h+Œ 871297f55b7cd622025acd6ba4977448”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-optimx-2022_4.30-r43hc72bb7e_2.conda”h0Œ@f3aeeff84bdc5eccc1380a5e2135c9aa1f65a62672e262a4ddaadbd7b2e763b3”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#îÍ`BhEJ9j hFˆubh)”}”(hŒr-optm”h#Œ0.1.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-optm-0.1.6-r41hc72bb7e_0.conda”h+Œ 80cf16185ffa5bc84795c88a3a53b273”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-optm-0.1.6-r41hc72bb7e_0.conda”h0Œ@a7d5dc089bf164dfd6f1e98e6315e91499a5673f457502d08e4881be8c110e51”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-boot >=1.3_20”Œr-sizer >=0.1_4”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØñ­øôÝ/hEJÛ© hFˆubh)”}”(hŒr-optm”h#Œ0.1.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-optm-0.1.6-r42hc72bb7e_0.conda”h+Œ 922b8394bddcddbda7b9df04cb8685c8”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-optm-0.1.6-r42hc72bb7e_0.conda”h0Œ@e5005503c7e835cb09e8820e9f0612cd523bf63c00e027c693ff553e5b244f3a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot >=1.3_20”Œr-sizer >=0.1_4”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØñ­û2^5hEJ:© hFˆubh)”}”(hŒr-oro.nifti”h#Œ0.11.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-oro.nifti-0.11.4-r42hc72bb7e_1.conda”h+Œ 920789b5b9ccfa8b6cdc53ab8ec39ce5”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-oro.nifti-0.11.4-r42hc72bb7e_1.conda”h0Œ@da4df257122788125dfb70e5940a36f3b95b9b42ebb0b39a2011981916eddd68”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-bitops”Œr-rnifti >=0.9.0”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ#ô÷®hEJÑ‡\ hFˆubh)”}”(hŒr-oro.nifti”h#Œ0.11.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-oro.nifti-0.11.4-r43hc72bb7e_1.conda”h+Œ 4000c6e0de8097259565b65f06e0e441”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-oro.nifti-0.11.4-r43hc72bb7e_1.conda”h0Œ@381998308c972e4e772cd2e8eb2c71e9c272c2160a76431f12ea8114123c2897”h2NhNh3(Œr-abind”Œr-base >=4.3,<4.4.0a0”Œr-bitops”Œr-rnifti >=0.9.0”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ#“ohEJü±\ hFˆubh)”}”(hŒ	r-packrat”h#Œ0.9.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-packrat-0.9.1-r41hc72bb7e_0.conda”h+Œ 21febdc067630d6f93f313a9786a1264”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-packrat-0.9.1-r41hc72bb7e_0.conda”h0Œ@d697622e1dca49d36c1f44b38afa14649a99f487dda1b037fc6a55a6634bad2a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÿOå?}hEJÎì	 hFˆubh)”}”(hŒ	r-packrat”h#Œ0.9.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-packrat-0.9.1-r42hc72bb7e_0.conda”h+Œ 786473fed0256d5d8361f025abf1fde2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-packrat-0.9.1-r42hc72bb7e_0.conda”h0Œ@a9a42ba21c44f34f9af021d2f2d00e6fee7e384e260be204255306175375a3fe”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÿOÔí‘hEJÌï	 hFˆubh)”}”(hŒ	r-packrat”h#Œ0.9.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-packrat-0.9.1-r42hc72bb7e_1.conda”h+Œ c89512552f46984e53e6a10fb4c14dfa”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-packrat-0.9.1-r42hc72bb7e_1.conda”h0Œ@f29b3ba0c5586c81d4209edde0ad46d2852b1354fd76d700cdfbb40d50453331”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Çd_ß;hEJ¼ð	 hFˆubh)”}”(hŒ	r-packrat”h#Œ0.9.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-packrat-0.9.1-r43hc72bb7e_1.conda”h+Œ c7d69f004c7fedcfde8c00a0bc6df5c2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-packrat-0.9.1-r43hc72bb7e_1.conda”h0Œ@abd02b93c3518ee1bb12320bd81f397633fb6e1f8bcce5ebcb3027412e838161”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÇRôjhEJPí	 hFˆubh)”}”(hŒ
r-pagedown”h#Œ0.20”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-pagedown-0.20-r41hc72bb7e_0.conda”h+Œ 3fbba5ca7978e61f2ac61d92c7babe26”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pagedown-0.20-r41hc72bb7e_0.conda”h0Œ@8bf98117e3cc760424bd6ddbe066c745876f3c1e08d2041c13ebdea8c79a7058”h2NhNh3(Œpandoc >=2.2.3”Œr-base >=4.1,<4.2.0a0”Œr-bookdown >=0.8”Œr-htmltools”Œr-httpuv”Œ
r-jsonlite”Œr-later >=1.0.0”Œ
r-processx”Œr-rmarkdown >=2.8”Œr-servr >=0.23”Œr-websocket”Œr-xfun”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæ›	ûçhEJë hFˆubh)”}”(hŒ
r-pagedown”h#Œ0.20”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-pagedown-0.20-r42hc72bb7e_0.conda”h+Œ 74aca0be6bfdd997e8e4f55630d217f2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pagedown-0.20-r42hc72bb7e_0.conda”h0Œ@95a281f6b2435ec62e1813ee9c06cfb48bf27e1e785ca49e39554a58242fdf5e”h2NhNh3(Œpandoc >=2.2.3”Œr-base >=4.2,<4.3.0a0”Œr-bookdown >=0.8”Œr-htmltools”Œr-httpuv”Œ
r-jsonlite”Œr-later >=1.0.0”Œ
r-processx”Œr-rmarkdown >=2.8”Œr-servr >=0.23”Œr-websocket”Œr-xfun”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæ¨PhEJ hFˆubh)”}”(hŒr-pak”h#Œ0.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-pak-0.5.1-r41hc72bb7e_0.conda”h+Œ 03d89d21542b8c4415fc11b2eb99d9d5”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pak-0.5.1-r41hc72bb7e_0.conda”h0Œ@ad697cdf4da860ba079ecc31dafa239eb40c069a0f701ca0d8cb04412b2f2188”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-callr >=3.0.0.9002”Œr-cli >=1.0.0”Œr-cliapp >=0.0.0.9002”Œr-crayon >=1.3.4”Œr-curl >=3.2”Œr-desc >=1.2.0”Œr-filelock >=1.0.2”Œr-glue >=1.3.0”Œ
r-jsonlite”Œ	r-lpsolve”Œr-pkgbuild >=1.0.2”Œr-pkgcache >=1.0.3”Œr-prettyunits”Œr-processx >=3.2.1”Œr-ps >=1.3.0”Œr-r6”Œ
r-rematch2”Œr-rprojroot >=1.3.2”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ•M×ÎÙhEJ´PS hFˆubh)”}”(hŒr-pak”h#Œ0.5.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-pak-0.5.1-r42hc72bb7e_0.conda”h+Œ 5f5ac9683ce49363f17680079331e096”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pak-0.5.1-r42hc72bb7e_0.conda”h0Œ@b1cb83616bb689576274b310ced3a9c275a5d1304c2fd6c3ac2d32662a7491cd”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-callr >=3.0.0.9002”Œr-cli >=1.0.0”Œr-cliapp >=0.0.0.9002”Œr-crayon >=1.3.4”Œr-curl >=3.2”Œr-desc >=1.2.0”Œr-filelock >=1.0.2”Œr-glue >=1.3.0”Œ
r-jsonlite”Œ	r-lpsolve”Œr-pkgbuild >=1.0.2”Œr-pkgcache >=1.0.3”Œr-prettyunits”Œr-processx >=3.2.1”Œr-ps >=1.3.0”Œr-r6”Œ
r-rematch2”Œr-rprojroot >=1.3.2”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ•d¯;dhEJèûR hFˆubh)”}”(hŒr-palmerpenguins”h#Œ0.1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-palmerpenguins-0.1.1-r42hc72bb7e_2.conda”h+Œ 8c3f85f8193df74bf946d6ea5a743be8”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-palmerpenguins-0.1.1-r42hc72bb7e_2.conda”h0Œ@80be22686dba69880a51b6744c9eac52be9cf62c2c69b2caa43acfb7229deafd”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙ"¬ˆƒhEJ½u- hFˆubh)”}”(hŒr-palmerpenguins”h#Œ0.1.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ*r-palmerpenguins-0.1.1-r43hc72bb7e_2.conda”h+Œ c5190e2aaddd109c90e394c829bf2161”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-palmerpenguins-0.1.1-r43hc72bb7e_2.conda”h0Œ@0651fc22adc99e36f8f0e16c5a004adb656ffa4bed2531b55fcf2bce8183e144”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙ"¬K×
hEJ
u- hFˆubh)”}”(hŒr-palr”h#Œ0.3.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-palr-0.3.0-r42hc72bb7e_2.conda”h+Œ e5b4b56a0ba9f8a1fa8a060dd6d81ffe”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-palr-0.3.0-r42hc72bb7e_2.conda”h0Œ@e2d8b2fa2a1308bf540b64f0f99bce6888e2900bc8955f5a9bac59164377fb01”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#üO
=hEJÿ¿ hFˆubh)”}”(hŒr-palr”h#Œ0.3.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-palr-0.3.0-r43hc72bb7e_2.conda”h+Œ d2fdd6efebde686aff7f1de0257aa880”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-palr-0.3.0-r43hc72bb7e_2.conda”h0Œ@da6df44040914ac03c0e771adc96b13f6b3a9af8708c5f281874e6af3b2b3080”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#öˆÄœhEJ¨· hFˆubh)”}”(hŒr-pals”h#Œ1.7”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-pals-1.7-r42hc72bb7e_2.conda”h+Œ 8704de9eeb78dea11fa6123723eb0c76”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-pals-1.7-r42hc72bb7e_2.conda”h0Œ@da0bb728ea09acd6102cccab3bcf1cf55c2e1bbaa7dbd41992776a2cb53211f2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-dichromat”Œ	r-mapproj”Œr-maps”Œr-rgl”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ#õúŸ¾hEJäg hFˆubh)”}”(hŒr-pals”h#Œ1.7”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-pals-1.7-r43hc72bb7e_2.conda”h+Œ b8a7c86ff5bcd2470e9de475784b748c”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-pals-1.7-r43hc72bb7e_2.conda”h0Œ@57a18011f0431ff3a1e54fd07924b94982930a02871b8087c2c538eb6b626485”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-colorspace”Œr-dichromat”Œ	r-mapproj”Œr-maps”Œr-rgl”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ#áú\hEJÒs hFˆubh)”}”(hŒ	r-paradox”h#Œ0.11.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-paradox-0.11.1-r41hc72bb7e_0.conda”h+Œ 24f810fe53cc24857937a61d9978aaa6”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paradox-0.11.1-r41hc72bb7e_0.conda”h0Œ@b427bb02bb1a00f457cb81c3f85dd97fbe7cf59f355fd45e74cc914fa6b7f57c”h2NhNh3(Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œr-mlr3misc >=0.5.0”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ'A¡ËhEJ;f hFˆubh)”}”(hŒ	r-paradox”h#Œ0.11.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-paradox-0.11.1-r42hc72bb7e_0.conda”h+Œ 3b39eccf3ff0b371dcbdb0fc3ca946a7”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paradox-0.11.1-r42hc72bb7e_0.conda”h0Œ@a42165da35ffea7de8152dff29ef97f009431336067949b9ece8343409ed2e5b”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œr-mlr3misc >=0.5.0”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ'@C–hEJ¢‚ hFˆubh)”}”(hŒ	r-paradox”h#Œ0.11.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-paradox-0.11.1-r42hc72bb7e_1.conda”h+Œ 1eb4b21c234bd8f6f7b596012a91a949”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paradox-0.11.1-r42hc72bb7e_1.conda”h0Œ@8f201eb9685c6d2ca7f954a6639f0512cb695e45722ae9a3a022f32971785f38”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œr-mlr3misc >=0.5.0”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"µ<¥ãhEJ¢€ hFˆubh)”}”(hŒ	r-paradox”h#Œ0.11.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-paradox-0.11.1-r43hc72bb7e_1.conda”h+Œ 5d811fb45b25e91442f8314f5df1cc87”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paradox-0.11.1-r43hc72bb7e_1.conda”h0Œ@fb62698a61546316250d08557952fadef3e18d7c7f68c4832b9440303b33273e”h2NhNh3(Œr-backports”Œr-base >=4.3,<4.4.0a0”Œr-checkmate”Œr-data.table”Œr-mlr3misc >=0.5.0”Œr-r6”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ"µD*~úhEJóy hFˆubh)”}”(hŒr-parallellogger”h#Œ3.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-parallellogger-3.1.0-r41hc72bb7e_0.conda”h+Œ 2b85a01b5c3df03a67186ec0652c7c3c”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-parallellogger-3.1.0-r41hc72bb7e_0.conda”h0Œ@d6329733e0d9faee07dbdb10ac8235a2f77feae655b9f3209079889b829baa30”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-snow”Œr-xml2”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØäÅó¶hEJéˆ hFˆubh)”}”(hŒr-parallellogger”h#Œ3.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-parallellogger-3.1.0-r42hc72bb7e_0.conda”h+Œ baca3ee6aac8f9752491059b655e2d1a”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-parallellogger-3.1.0-r42hc72bb7e_0.conda”h0Œ@10930d6109d8a68bf0b4dd3681e5432a5830f8deb2da0576b8f2a1ecc92db4a4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-snow”Œr-xml2”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØä¤ýôhEJà‡ hFˆubh)”}”(hŒr-parallelly”h#Œ1.36.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-parallelly-1.36.0-r41hc72bb7e_0.conda”h+Œ 488406be89987f3feeb9b22c79cbd581”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parallelly-1.36.0-r41hc72bb7e_0.conda”h0Œ@90a3320a6e1eb35fbabc5c0e441f58d98fd31ab13fcee0186b2b9b4deca50a53”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙKDáHhEJJŒ hFˆubh)”}”(hŒr-parallelly”h#Œ1.36.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-parallelly-1.36.0-r42hc72bb7e_0.conda”h+Œ f840677ad440f8e40075fcb309f81112”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parallelly-1.36.0-r42hc72bb7e_0.conda”h0Œ@96b4262f43d3e310e1aef220b25f13a98c6c8a792525f036a2ee3959f23bcb34”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙKE‡¾whEJGˆ hFˆubh)”}”(hŒr-parallelly”h#Œ1.36.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-parallelly-1.36.0-r42hc72bb7e_1.conda”h+Œ 878a8c24c2315a5254d5029814194fba”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parallelly-1.36.0-r42hc72bb7e_1.conda”h0Œ@3eb1fdbf63eacf47a76427c8af5565e42bc629384b3dddd4432b0bac4ad3f18d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"s•Æ¨hEJ­Š hFˆubh)”}”(hŒr-parallelly”h#Œ1.36.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-parallelly-1.36.0-r43hc72bb7e_1.conda”h+Œ eb1ea4be46ac3291292dde702b97624b”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parallelly-1.36.0-r43hc72bb7e_1.conda”h0Œ@4872f728529aacb7052e043be4308f32688d56742f520608791363c27cfcd5b3”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"s“Ï\)hEJ‹ hFˆubh)”}”(hŒr-parallelmap”h#Œ1.5.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-parallelmap-1.5.1-r42hc72bb7e_2.conda”h+Œ f885fb5b146ae177802f0aeec1564640”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parallelmap-1.5.1-r42hc72bb7e_2.conda”h0Œ@29aaa27d2209a4b9e4a452360e226080ea205f2274632f967a3ee3967eb17dd7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-bbmisc >=1.8”Œr-checkmate >=1.8.0”‡”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAÙ"æ.r~úhEJP¼ hFˆubh)”}”(hŒr-parallelmap”h#Œ1.5.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-parallelmap-1.5.1-r43hc72bb7e_2.conda”h+Œ 7526a7995a0a0601b2c1b5643358ccc6”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parallelmap-1.5.1-r43hc72bb7e_2.conda”h0Œ@fdaf398a3dc393f7ed4b4a1ccc12eff312a04d8810ebac6fa0e2107e3bc7e6f5”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-bbmisc >=1.8”Œr-checkmate >=1.8.0”‡”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAÙ"æ*"¬hEJ· hFˆubh)”}”(hŒr-parameters”h#Œ0.21.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ'r-parameters-0.21.1-r41h785f33e_0.conda”h+Œ 965fa7643122824883a6e09af9934844”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parameters-0.21.1-r41h785f33e_0.conda”h0Œ@fe5eab74c7d8fafcae5ff1ac0f1cf0397220d055f6934edf75c84cdd8cd4d30d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayestestr >=0.13”Œr-datawizard >=0.6.5”Œr-insight >=0.18.8”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ*1ÃçmhEJ'1 hFˆubh)”}”(hŒr-parameters”h#Œ0.21.1”h%Œr42h785f33e_0”h'K hhh(h)hŒ'r-parameters-0.21.1-r42h785f33e_0.conda”h+Œ 73860d3204d3ddb85b1b437f5532ecf5”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parameters-0.21.1-r42h785f33e_0.conda”h0Œ@45ac90b188f3b2270d0f5d7a65f16021786319543af7719d5f22a6c690a544ee”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.13”Œr-datawizard >=0.6.5”Œr-insight >=0.18.8”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ*8½ÂhEJ4 hFˆubh)”}”(hŒr-parameters”h#Œ0.21.1”h%Œr42h785f33e_1”h'Khhh(h)hŒ'r-parameters-0.21.1-r42h785f33e_1.conda”h+Œ ab2f36ef0541bbbf6012d18b4efbb7b0”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parameters-0.21.1-r42h785f33e_1.conda”h0Œ@453cb14a23bc993f653d16942017f2eb8ebfb9d69d4a77ed12d9929f081e1f74”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.13”Œr-datawizard >=0.6.5”Œr-insight >=0.18.8”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"µ!Ú\hEJ¯0 hFˆubh)”}”(hŒr-parameters”h#Œ0.21.1”h%Œr43h785f33e_1”h'Khhh(h)hŒ'r-parameters-0.21.1-r43h785f33e_1.conda”h+Œ 093d2fea2633a3f69abf632b71225a38”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parameters-0.21.1-r43h785f33e_1.conda”h0Œ@25c5850de000294eafe968796684b9ce8b2b8b1181ebd313dc48e4b8f8163d88”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-bayestestr >=0.13”Œr-datawizard >=0.6.5”Œr-insight >=0.18.8”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"µ;1hEJ¸ hFˆubh)”}”(hŒ	r-parsnip”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-parsnip-1.1.0-r41hc72bb7e_0.conda”h+Œ d406c2ad321ca37cdca71f0114de2561”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-parsnip-1.1.0-r41hc72bb7e_0.conda”h0Œ@0dd1eada2728733003e9f92b5d1a5835553ddabef388a8cbe32566a00f58a2a6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dplyr >=1.1.0”Œr-generics >=0.1.2”Œ	r-ggplot2”Œ	r-globals”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œ
r-magrittr”Œr-pillar”Œr-prettyunits”Œr-purrr >=1.0.0”Œr-rlang >=0.3.1”Œr-tibble >=2.1.1”Œr-tidyr >=1.3.0”Œr-vctrs >=0.6.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙôLúŸ¾hEJFª hFˆubh)”}”(hŒ	r-parsnip”h#Œ1.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-parsnip-1.1.0-r42hc72bb7e_0.conda”h+Œ 9189eec4f6b858cc6d8304b8d6ac00e3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-parsnip-1.1.0-r42hc72bb7e_0.conda”h0Œ@c7ca3d09ea740574df97cdb17c92d547f3562c9c4141afb6712ccc1933a4f91b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dplyr >=1.1.0”Œr-generics >=0.1.2”Œ	r-ggplot2”Œ	r-globals”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œ
r-magrittr”Œr-pillar”Œr-prettyunits”Œr-purrr >=1.0.0”Œr-rlang >=0.3.1”Œr-tibble >=2.1.1”Œr-tidyr >=1.3.0”Œr-vctrs >=0.6.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙôO-`BhEJm¥ hFˆubh)”}”(hŒ	r-parsnip”h#Œ1.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-parsnip-1.1.0-r42hc72bb7e_1.conda”h+Œ 5e5d9eda30e967a386d8dc15a729292d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-parsnip-1.1.0-r42hc72bb7e_1.conda”h0Œ@da1840ef6148cb3ed7c258365e17060b372d77fe2b7b7458d5a6d86542bfe065”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dplyr >=1.1.0”Œr-generics >=0.1.2”Œ	r-ggplot2”Œ	r-globals”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œ
r-magrittr”Œr-pillar”Œr-prettyunits”Œr-purrr >=1.0.0”Œr-rlang >=0.3.1”Œr-tibble >=2.1.1”Œr-tidyr >=1.3.0”Œr-vctrs >=0.6.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥TÝ/hEJ2« hFˆubh)”}”(hŒ	r-parsnip”h#Œ1.1.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-parsnip-1.1.0-r43hc72bb7e_1.conda”h+Œ af1b599f8164dc69b9c189b861bc27f0”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-parsnip-1.1.0-r43hc72bb7e_1.conda”h0Œ@20b38eb4a6752b08c313c36130279859169232f2abbaa4667a331dc6d8f60b77”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-dplyr >=1.1.0”Œr-generics >=0.1.2”Œ	r-ggplot2”Œ	r-globals”Œr-glue”Œr-hardhat >=1.1.0”Œr-lifecycle”Œ
r-magrittr”Œr-pillar”Œr-prettyunits”Œr-purrr >=1.0.0”Œr-rlang >=0.3.1”Œr-tibble >=2.1.1”Œr-tidyr >=1.3.0”Œr-vctrs >=0.6.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥Õ‘hhEJÌ™ hFˆubh)”}”(hŒr-patchwork”h#Œ1.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-patchwork-1.1.2-r42hc72bb7e_2.conda”h+Œ a1ed1395801c773584c430205ce1e718”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-patchwork-1.1.2-r42hc72bb7e_2.conda”h0Œ@2e83c4c182d025998e9786d639894e40f595d487518f22e6ddaddf64db3ab4ee”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-gtable”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥
‘hhEJïÄ0 hFˆubh)”}”(hŒr-patchwork”h#Œ1.1.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-patchwork-1.1.2-r43hc72bb7e_2.conda”h+Œ c12fbefe95dfb1cf6fb46c066ccd8190”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-patchwork-1.1.2-r43hc72bb7e_2.conda”h0Œ@b67caa587a999629f02a5ea70288ea5fb851e9aea5f00fcb2526307184de265a”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=3.0.0”Œr-gtable”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤ùsdZhEJ¸0 hFˆubh)”}”(hŒr-paws”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-paws-0.2.0-r41hc72bb7e_0.conda”h+Œ d9ea5b414464415560d0158afb81d69d”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-paws-0.2.0-r41hc72bb7e_0.conda”h0Œ@7deff29fb8ef85a413cd7bb195f4b4799473c6dc184442298bc24413a7794ab5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-paws.analytics >=0.1.12”Œ'r-paws.application.integration >=0.1.12”Œr-paws.compute >=0.1.12”Œr-paws.cost.management >=0.1.12”Œ#r-paws.customer.engagement >=0.1.12”Œr-paws.database >=0.1.12”Œr-paws.developer.tools >=0.1.12”Œ"r-paws.end.user.computing >=0.1.12”Œ r-paws.machine.learning >=0.1.12”Œr-paws.management >=0.1.12”Œr-paws.networking >=0.1.12”Œ!r-paws.security.identity >=0.1.12”Œr-paws.storage >=0.1.12”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØù_6@£×hEJ¯  hFˆubh)”}”(hŒr-paws”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-paws-0.2.0-r42hc72bb7e_0.conda”h+Œ f8f88dbbd6ffe802897bd320ef885d30”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-paws-0.2.0-r42hc72bb7e_0.conda”h0Œ@148370d53708ffc6dc01d596a6a6a17fa63414de6eff022ff5c9ed777ced2034”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-paws.analytics >=0.1.12”Œ'r-paws.application.integration >=0.1.12”Œr-paws.compute >=0.1.12”Œr-paws.cost.management >=0.1.12”Œ#r-paws.customer.engagement >=0.1.12”Œr-paws.database >=0.1.12”Œr-paws.developer.tools >=0.1.12”Œ"r-paws.end.user.computing >=0.1.12”Œ r-paws.machine.learning >=0.1.12”Œr-paws.management >=0.1.12”Œr-paws.networking >=0.1.12”Œ!r-paws.security.identity >=0.1.12”Œr-paws.storage >=0.1.12”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØù_&—hEJ(  hFˆubh)”}”(hŒr-paws.analytics”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-paws.analytics-0.2.0-r41hc72bb7e_0.conda”h+Œ 69acb0fc8a711c53cf0d6dfa52a312a5”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-paws.analytics-0.2.0-r41hc72bb7e_0.conda”h0Œ@218c5b0d02a464357ba2c8bf783764bca24e9c0613513dd4fbd3b78c1e309388”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-paws.common >=0.3.0”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØù"dOPhEJ°ñ1 hFˆubh)”}”(hŒr-paws.analytics”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-paws.analytics-0.2.0-r42hc72bb7e_0.conda”h+Œ 6b7ec36842c1424bd136fe06e4df36f7”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-paws.analytics-0.2.0-r42hc72bb7e_0.conda”h0Œ@008ab092bf2abb208d392985a3810e3f4b504f26749809fd7b8c16e0ae089c1f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-paws.common >=0.3.0”†”h9hºh@Œ
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Apache-2.0”hBŒAPACHE”hDGAØøÿJÓdZhEJê3G hFˆubh)”}”(hŒr-paws.storage”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-paws.storage-0.2.0-r41hc72bb7e_0.conda”h+Œ d02a8f72f45ab2df4be20fdd663482b9”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paws.storage-0.2.0-r41hc72bb7e_0.conda”h0Œ@2bcb99655a8d238a1ad0741a5e1542be634a6e2711bdef586bf74e1e7fe04011”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-paws.common >=0.3.0”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØøÿH  hEJ9t hFˆubh)”}”(hŒr-paws.storage”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-paws.storage-0.2.0-r42hc72bb7e_0.conda”h+Œ e26fa51720a0f419a5104ae6b933200f”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paws.storage-0.2.0-r42hc72bb7e_0.conda”h0Œ@a5f5db8d71ba9b0eba3136cd6ffebeee61c3e75e7850bd6a6b4c53ded92a9553”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-paws.common >=0.3.0”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØøÿ’~úhEJ“x hFˆubh)”}”(hŒ	r-pbapply”h#Œ1.7_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-pbapply-1.7_0-r41hc72bb7e_0.conda”h+Œ 0923de7aaf2607d8b16f3b166e2f9106”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pbapply-1.7_0-r41hc72bb7e_0.conda”h0Œ@5cdccb4b840a6c8b974be159a4f930965df35b24f68f970be65be1eede952601”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØðmw;dhEJ·¶ hFˆubh)”}”(hŒ	r-pbapply”h#Œ1.7_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-pbapply-1.7_0-r42hc72bb7e_0.conda”h+Œ 61ffa91adb30ebf33f9f09ae57bbe8d8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pbapply-1.7_0-r42hc72bb7e_0.conda”h0Œ@e71049d132cd0caa3dbc4e44c2f63b0fe25631357a153d3361b3d0cc997887d9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØðm8QìhEJÞ¶ hFˆubh)”}”(hŒ	r-pbapply”h#Œ1.7_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-pbapply-1.7_0-r42hc72bb7e_1.conda”h+Œ 505460198336eb3ec9717cc6aaff4295”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pbapply-1.7_0-r42hc72bb7e_1.conda”h0Œ@58ff8be2b53f3a6c05dc15abdfe3795a1e9ce3b4b6f8ae3fc7fa60b61a63ec09”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"~·á©ühEJè· hFˆubh)”}”(hŒ	r-pbapply”h#Œ1.7_0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-pbapply-1.7_0-r43hc72bb7e_1.conda”h+Œ 9c67102f007af6bb55e43b7826a583af”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pbapply-1.7_0-r43hc72bb7e_1.conda”h0Œ@027b957b394ae52809fe59c3342ff503079fce69f8ca1d5c06496055e6314159”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"~¬çïžhEJU¹ hFˆubh)”}”(hŒ
r-pbkrtest”h#Œ0.5.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-pbkrtest-0.5.2-r41hc72bb7e_0.conda”h+Œ 8fb872e4992d02675f75bf9d7b134f29”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pbkrtest-0.5.2-r41hc72bb7e_0.conda”h0Œ@b2a3cbc63f75eda5c45eac25d1a9339c9b536624a7313b0948daab06952cf7a1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr”Œr-knitr”Œr-lme4 >=1.1.10”Œ
r-magrittr”Œr-mass”Œr-matrix >=1.2.3”Œ
r-numderiv”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØòt5 õÃhEJeÿ hFˆubh)”}”(hŒ
r-pbkrtest”h#Œ0.5.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-pbkrtest-0.5.2-r42hc72bb7e_0.conda”h+Œ 60b57555977342d1469ce46f39541123”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pbkrtest-0.5.2-r42hc72bb7e_0.conda”h0Œ@f57fea07ba62d20067fdd805892f8d5cc734bed50178f84ec7645532d9fcc39f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr”Œr-knitr”Œr-lme4 >=1.1.10”Œ
r-magrittr”Œr-mass”Œr-matrix >=1.2.3”Œ
r-numderiv”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØòt8˜õÃhEJ|  hFˆubh)”}”(hŒ
r-pbkrtest”h#Œ0.5.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-pbkrtest-0.5.2-r42hc72bb7e_1.conda”h+Œ 13c019246016a118407bbdfbd8a4d117”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pbkrtest-0.5.2-r42hc72bb7e_1.conda”h0Œ@8bdcb53bb223418da508bd9734d0f5fc59271f0ec22eb775ccfd3622d1aa9671”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr”Œr-knitr”Œr-lme4 >=1.1.10”Œ
r-magrittr”Œr-mass”Œr-matrix >=1.2.3”Œ
r-numderiv”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"´™ƒhEJ  hFˆubh)”}”(hŒ
r-pbkrtest”h#Œ0.5.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-pbkrtest-0.5.2-r43hc72bb7e_1.conda”h+Œ a5e30f09a093abb8c90cde0b1b4fd649”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pbkrtest-0.5.2-r43hc72bb7e_1.conda”h0Œ@c1170c4cad8344417090e3bf379322f7d3973deb42ec71fcb45977043567b0e5”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-broom”Œr-dplyr”Œr-knitr”Œr-lme4 >=1.1.10”Œ
r-magrittr”Œr-mass”Œr-matrix >=1.2.3”Œ
r-numderiv”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"´²-hEJuû hFˆubh)”}”(hŒ
r-pedquant”h#Œ0.2.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-pedquant-0.2.2.1-r41hc72bb7e_0.conda”h+Œ 71c671cc499725414d24bc25d7c94573”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pedquant-0.2.2.1-r41hc72bb7e_0.conda”h0Œ@f1196c7decb4fc4f09626d564ce12b2c6139377aeec5f45c9abda75ee4d251f9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-data.table”Œr-echarts4r”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œr-performanceanalytics”Œr-readr”Œr-readxl”Œr-rvest”Œ	r-stringi”Œr-ttr”Œr-xefun”Œr-zoo”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÛ!G®hEJÍ hFˆubh)”}”(hŒ
r-pedquant”h#Œ0.2.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-pedquant-0.2.2.1-r42hc72bb7e_0.conda”h+Œ 1d0764eefed6d1bcab9701fcac517cb1”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pedquant-0.2.2.1-r42hc72bb7e_0.conda”h0Œ@8707993e6c44e2ad1e2ac1e731308154badb6c36e4dc08df73005bcdbc303a05”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-data.table”Œr-echarts4r”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œr-performanceanalytics”Œr-readr”Œr-readxl”Œr-rvest”Œ	r-stringi”Œr-ttr”Œr-xefun”Œr-zoo”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÚrMÓhEJ–  hFˆubh)”}”(hŒr-performance”h#Œ0.10.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-performance-0.10.4-r41hc72bb7e_0.conda”h+Œ 24c928dcfe75435a737c2a9e26a8402e”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-performance-0.10.4-r41hc72bb7e_0.conda”h0Œ@54d04d4a86522f17a7dfb46aa6b98cc6a57ec44485a3f0e7b37ba4832927c763”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayestestr >=0.9.0”Œr-datawizard”Œr-insight >=0.14.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ~’dZhEJûÆ- hFˆubh)”}”(hŒr-performance”h#Œ0.10.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-performance-0.10.4-r42hc72bb7e_0.conda”h+Œ 7f64c59a7eb3a8a023ef18cb27f8ab5f”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-performance-0.10.4-r42hc72bb7e_0.conda”h0Œ@df731a994b576fc41232c4e2fd04cfab4fa1c5c81dd18813cb9983a76b63585e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.9.0”Œr-datawizard”Œr-insight >=0.14.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ~û×
hEJ‘Á- hFˆubh)”}”(hŒr-performance”h#Œ0.10.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-performance-0.10.4-r42hc72bb7e_1.conda”h+Œ 220db8802f56faebae9c9484cf9c2f45”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-performance-0.10.4-r42hc72bb7e_1.conda”h0Œ@65698f6b8769a5706de89aa781f645358f0b10a4398223b0501dbce123cdebef”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.9.0”Œr-datawizard”Œr-insight >=0.14.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"µ¯ hEJj»- hFˆubh)”}”(hŒr-performance”h#Œ0.10.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-performance-0.10.4-r43hc72bb7e_1.conda”h+Œ 1e48c9c5c4b004d5ea9e9985d7ea817c”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-performance-0.10.4-r43hc72bb7e_1.conda”h0Œ@74ca71f293381af7f9d1f3f611be60fd31a47599ea6902e4a88597b0c87f1ade”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-bayestestr >=0.9.0”Œr-datawizard”Œr-insight >=0.14.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"µ'ÎÙhEJuº- hFˆubh)”}”(hŒ	r-permute”h#Œ0.9_7”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-permute-0.9_7-r42hc72bb7e_2.conda”h+Œ 72c6e7c1039eac54b7f28a1db6b08abf”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-permute-0.9_7-r42hc72bb7e_2.conda”h0Œ@1db7d0e66839640990ef6ad30466ede4197dcdfa1266db9b277c6ceb5b0f8770”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"„|HbhEJ¾] hFˆubh)”}”(hŒ	r-permute”h#Œ0.9_7”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-permute-0.9_7-r43hc72bb7e_2.conda”h+Œ cbdd7325308a3a448e6bed9af991d05f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-permute-0.9_7-r43hc72bb7e_2.conda”h0Œ@45907d248c8ae983364565a11c5f58ec892a299f73b4e4c3ad7a1b9886e84448”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"„p¶ffhEJ´M hFˆubh)”}”(hŒr-perry”h#Œ0.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-perry-0.3.1-r42hc72bb7e_2.conda”h+Œ 756738d629159b270b83e88a358f9247”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-perry-0.3.1-r42hc72bb7e_2.conda”h0Œ@b21f0352974d3187550495fb422eb24d14ab71c9e40568de6352f230fe2d7986”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=0.9.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ñé‡²hEJOÌ hFˆubh)”}”(hŒr-perry”h#Œ0.3.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-perry-0.3.1-r43hc72bb7e_2.conda”h+Œ 84f87309aee8a43c153303f97e3c3663”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-perry-0.3.1-r43hc72bb7e_2.conda”h0Œ@74c958858fa7e854170afb93d28853cf8a97c2100fd5e0afdb9190dcae98f9c9”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=0.9.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ñè[t¼hEJüÃ hFˆubh)”}”(hŒ
r-pgirmess”h#Œ2.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-pgirmess-2.0.2-r41hc72bb7e_0.conda”h+Œ 8d7ebb6f29040db89df2ec80ccafe171”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pgirmess-2.0.2-r41hc72bb7e_0.conda”h0Œ@02eb62ab145e466792c87c704caaa62a7384d10bf69367f748974c52650b5fb0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot >=1.3_4”Œr-maptools >=0.8_36”Œr-rgdal >=0.7_8”Œr-rgeos >=0.3_8”Œr-sp >=0.9_97”Œr-spdep >=1.1_7”Œr-splancs >=2.01_31”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ6ž‡+hEJZ hFˆubh)”}”(hŒ
r-pgirmess”h#Œ2.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-pgirmess-2.0.2-r42hc72bb7e_0.conda”h+Œ bd0ad1f11803f6b7514f85383426be75”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pgirmess-2.0.2-r42hc72bb7e_0.conda”h0Œ@1c5c8eee931ab0869d3b9be0ed38d7ec3dc41ba73a2725d38db91a32b37b23ef”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot >=1.3_4”Œr-maptools >=0.8_36”Œr-rgdal >=0.7_8”Œr-rgeos >=0.3_8”Œr-sp >=0.9_97”Œr-spdep >=1.1_7”Œr-splancs >=2.01_31”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ6x  hEJèX hFˆubh)”}”(hŒ
r-pheatmap”h#Œ1.0.12”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ%r-pheatmap-1.0.12-r42hc72bb7e_4.conda”h+Œ d496f7884b7a933ac0cb9e64ba0c9955”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pheatmap-1.0.12-r42hc72bb7e_4.conda”h0Œ@20a3ea8ec55368303dfd62ee88b27fff57e1a433601c16bef2698770a0886b6d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-gtable”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¸Ø¾{hEJSf hFˆubh)”}”(hŒ
r-pheatmap”h#Œ1.0.12”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ%r-pheatmap-1.0.12-r43hc72bb7e_4.conda”h+Œ 3121100900c2b5caba6241eb76239b7a”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pheatmap-1.0.12-r43hc72bb7e_4.conda”h0Œ@439c00610b80f5231b58a009420f591ba8f13414695c7037222017c154cca0a6”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-gtable”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¸Øé&éhEJ_c hFˆubh)”}”(hŒr-phosphoricons”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-phosphoricons-0.2.0-r41hc72bb7e_0.conda”h+Œ d7dc0ebdc7be3f2850a1f43489d816a4”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-phosphoricons-0.2.0-r41hc72bb7e_0.conda”h0Œ@8da33de4ce55aa06ce6fdff2f6e9498bbde662f004812d71d70994f6f9aa2bb1”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.3”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ@rR=qhEJë$ hFˆubh)”}”(hŒr-phosphoricons”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-phosphoricons-0.2.0-r42hc72bb7e_0.conda”h+Œ fa9336884d80e882fca2988412978119”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-phosphoricons-0.2.0-r42hc72bb7e_0.conda”h0Œ@3b670bc086484253e9ae56e8c61c1fa1670b5ffdbd83ca9fab9a1619b4ee19b7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.3”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ@w/KÇhEJ¦å$ hFˆubh)”}”(hŒr-phosphoricons”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-phosphoricons-0.2.0-r42hc72bb7e_1.conda”h+Œ 1d769b73c82c7e3a561efd5b6b4c047c”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-phosphoricons-0.2.0-r42hc72bb7e_1.conda”h0Œ@12c83ff09f526914a0c111308af64d0f2eb6bfa62177ed9c353b18410b8fd46d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.3”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#·ÿKÇhEJiã$ hFˆubh)”}”(hŒr-phosphoricons”h#Œ0.2.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ)r-phosphoricons-0.2.0-r43hc72bb7e_1.conda”h+Œ 7512e1d4583dd52d45a8c22aed9c2957”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-phosphoricons-0.2.0-r43hc72bb7e_1.conda”h0Œ@6f919df9db77b1059597fbcb8568377ccd6f6db8931881de8d70ba534c0fcc3f”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-htmltools >=0.3”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#´p¤hEJ£â$ hFˆubh)”}”(hŒr-photobiologywavebands”h#Œ0.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ1r-photobiologywavebands-0.5.1-r41hc72bb7e_0.conda”h+Œ 5d92fd87af43dd4e6b03ae9a2eef6f69”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/r-photobiologywavebands-0.5.1-r41hc72bb7e_0.conda”h0Œ@7b0ce672e064a4841d1f3df4d7375ed7624295952dd4eff576cea662b3918929”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-photobiology >=0.9.13”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØîñZŸ¾hEJœ hFˆubh)”}”(hŒr-photobiologywavebands”h#Œ0.5.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ1r-photobiologywavebands-0.5.1-r42hc72bb7e_0.conda”h+Œ 5f5b8f2bcf3a9d928c959863ae29fcc2”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/r-photobiologywavebands-0.5.1-r42hc72bb7e_0.conda”h0Œ@9904dcd4122b9857d95aa53c30bd153b4bbc9341f5f20573953ddf32bbdf0bf6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-photobiology >=0.9.13”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØîäî¸RhEJ“ hFˆubh)”}”(hŒ
r-phytools”h#Œ1.5_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-phytools-1.5_1-r41hc72bb7e_0.conda”h+Œ 13da3782c8377b0d812c1e986ba87400”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-phytools-1.5_1-r41hc72bb7e_0.conda”h0Œ@a149e1f3c9577a92b1bdc7d6ed3b465683f57ca6080c8e0fcea2e39c8c958be1”h2NhNh3(Œr-ape >=5.7”Œr-base >=4.1,<4.2.0a0”Œr-clustergeneration”Œr-coda”Œ
r-combinat”Œr-doparallel”Œr-expm”Œ	r-foreach”Œr-maps”Œr-mass”Œr-mnormt”Œr-nlme”Œ
r-numderiv”Œr-optimparallel”Œr-phangorn >=2.3.1”Œ	r-plotrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØü¢ÅÍ/hEJÃR# hFˆubh)”}”(hŒ
r-phytools”h#Œ1.5_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-phytools-1.5_1-r42hc72bb7e_0.conda”h+Œ d72db5ed39174fc1ec53d6203b319d50”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-phytools-1.5_1-r42hc72bb7e_0.conda”h0Œ@00a55e369287b1f768d372168402d4ff0692e711de2123875b400f5cf605bad7”h2NhNh3(Œr-ape >=5.7”Œr-base >=4.2,<4.3.0a0”Œr-clustergeneration”Œr-coda”Œ
r-combinat”Œr-doparallel”Œr-expm”Œ	r-foreach”Œr-maps”Œr-mass”Œr-mnormt”Œr-nlme”Œ
r-numderiv”Œr-optimparallel”Œr-phangorn >=2.3.1”Œ	r-plotrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØü¢Àµ¡ËhEJ²P# hFˆubh)”}”(hŒ
r-phytools”h#Œ1.5_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-phytools-1.5_1-r42hc72bb7e_1.conda”h+Œ 8215bdd7e6d9eba40906f0b158a1e432”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-phytools-1.5_1-r42hc72bb7e_1.conda”h0Œ@4bd4f9f5e3c551d033fbabe401a485221f20cfe8c528a8a6d60eef2f3e8eec9b”h2NhNh3(Œr-ape >=5.7”Œr-base >=4.2,<4.3.0a0”Œr-clustergeneration”Œr-coda”Œ
r-combinat”Œr-doparallel”Œr-expm”Œ	r-foreach”Œr-maps”Œr-mass”Œr-mnormt”Œr-nlme”Œ
r-numderiv”Œr-optimparallel”Œr-phangorn >=2.3.1”Œ	r-plotrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ë‘e/hEJ¿C# hFˆubh)”}”(hŒ
r-phytools”h#Œ1.5_1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-phytools-1.5_1-r43hc72bb7e_1.conda”h+Œ 6b7520940ff0e7c986c17deacaf2b5f8”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-phytools-1.5_1-r43hc72bb7e_1.conda”h0Œ@1e95ec0925007b8b928f80ca5065a8ed54b2664d7d53010514e09996f823cab5”h2NhNh3(Œr-ape >=5.7”Œr-base >=4.3,<4.4.0a0”Œr-clustergeneration”Œr-coda”Œ
r-combinat”Œr-doparallel”Œr-expm”Œ	r-foreach”Œr-maps”Œr-mass”Œr-mnormt”Œr-nlme”Œ
r-numderiv”Œr-optimparallel”Œr-phangorn >=2.3.1”Œ	r-plotrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ëžÎ{hEJ¶9# hFˆubh)”}”(hŒr-piecewisesem”h#Œ2.3.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ(r-piecewisesem-2.3.0-r42h785f33e_0.conda”h+Œ fec770dd2f02f85f0d2e23ee24b38a1b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-piecewisesem-2.3.0-r42h785f33e_0.conda”h0Œ@7ab44ff7e1a6c2d067bf2affcb69c79bb56b0a13f2062d907ee3fc819f3d59f4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œr-diagrammer”Œ	r-emmeans”Œr-igraph”Œr-lme4”Œr-mass”Œ
r-multcomp”Œr-mumin”Œr-nlme”Œr-performance”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ‘Ûp1'hEJ¥ü hFˆubh)”}”(hŒr-pillar”h#Œ1.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-pillar-1.9.0-r41hc72bb7e_0.conda”h+Œ fb91965be4ce5aaf59db0452582f5cea”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pillar-1.9.0-r41hc72bb7e_0.conda”h0Œ@ea6bafcd6b388fd162affc0e63b9d80adec8e6cad5f95194dc1752b9499f0e5e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-crayon >=1.3.4”Œ
r-ellipsis”Œr-fansi”Œr-lifecycle”Œr-rlang >=0.3.0”Œr-utf8 >=1.1.0”Œr-vctrs >=0.2.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ³»)XhEJ4i	 hFˆubh)”}”(hŒr-pillar”h#Œ1.9.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-pillar-1.9.0-r42hc72bb7e_0.conda”h+Œ 3ee1760065c70c190878381582ef1d41”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pillar-1.9.0-r42hc72bb7e_0.conda”h0Œ@79e480a569ef633ec7eaa59d027f8e99dd12a878be99663226638a3ce833c32f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-crayon >=1.3.4”Œ
r-ellipsis”Œr-fansi”Œr-lifecycle”Œr-rlang >=0.3.0”Œr-utf8 >=1.1.0”Œr-vctrs >=0.2.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ³²HÔþhEJæk	 hFˆubh)”}”(hŒr-pillar”h#Œ1.9.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-pillar-1.9.0-r42hc72bb7e_1.conda”h+Œ 07d5ce8e710897745f14c951ff947cdd”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pillar-1.9.0-r42hc72bb7e_1.conda”h0Œ@f49dd2aca4d95f6276f06e1bab14ebc44546bd60f6060900d35ad34fab456522”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-crayon >=1.3.4”Œ
r-ellipsis”Œr-fansi”Œr-lifecycle”Œr-rlang >=0.3.0”Œr-utf8 >=1.1.0”Œr-vctrs >=0.2.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"<§gß;hEJ m	 hFˆubh)”}”(hŒr-pillar”h#Œ1.9.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-pillar-1.9.0-r43hc72bb7e_1.conda”h+Œ 7cff01456566a69381d3907d520c10b2”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pillar-1.9.0-r43hc72bb7e_1.conda”h0Œ@ef5c27756bfb49dde7902711b762ae7409aee7321c7f58d37704c439536a7637”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-crayon >=1.3.4”Œ
r-ellipsis”Œr-fansi”Œr-lifecycle”Œr-rlang >=0.3.0”Œr-utf8 >=1.1.0”Œr-vctrs >=0.2.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"<”N{hEJÁk	 hFˆubh)”}”(hŒr-pins”h#Œ1.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-pins-1.2.0-r41hc72bb7e_0.conda”h+Œ 0fbf0a55e6ae5e644bd606b74228f1f3”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-pins-1.2.0-r41hc72bb7e_0.conda”h0Œ@6d0dd1345381887a2027bfbb2c55865e26768c5b91ee18f0cf060b405d618119”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-digest”Œ
r-ellipsis”Œr-fs”Œ
r-generics”Œr-glue”Œr-httr”Œ
r-jsonlite”Œr-lifecycle”Œ
r-magrittr”Œr-purrr”Œ
r-rappdirs”Œr-rlang >=1.1.0”Œr-tibble”Œ	r-whisker”Œr-withr >=2.4.3”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ þO hEJø	 hFˆubh)”}”(hŒr-pins”h#Œ1.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-pins-1.2.0-r42hc72bb7e_0.conda”h+Œ 0645349f53876ae0bb6cfaefb0ba9789”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-pins-1.2.0-r42hc72bb7e_0.conda”h0Œ@452b75e9957f021c64274fe14e0b17f5044904388217ed939667780f0d9ff3de”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-digest”Œ
r-ellipsis”Œr-fs”Œ
r-generics”Œr-glue”Œr-httr”Œ
r-jsonlite”Œr-lifecycle”Œ
r-magrittr”Œr-purrr”Œ
r-rappdirs”Œr-rlang >=1.1.0”Œr-tibble”Œ	r-whisker”Œr-withr >=2.4.3”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ îÌIºhEJ]õ	 hFˆubh)”}”(hŒr-pixmap”h#Œ0.4_12”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-pixmap-0.4_12-r42hc72bb7e_2.conda”h+Œ ad69c89c7a5fc3188c3e3d35ace2e80d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pixmap-0.4_12-r42hc72bb7e_2.conda”h0Œ@6a76dc8cd5d9f96c5d77599610011d90b517b2038524ef3227d471e69e8d91cb”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"„œÇ|îhEJ­G hFˆubh)”}”(hŒr-pixmap”h#Œ0.4_12”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-pixmap-0.4_12-r43hc72bb7e_2.conda”h+Œ 2fc054c27e65e84dc56ea5029fe99146”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pixmap-0.4_12-r43hc72bb7e_2.conda”h0Œ@590f55840d823f54fbb9fa39dc09f7363e9a7d3b92c91ed74801ffc9e20bfa38”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"„©ühEJžY hFˆubh)”}”(hŒ
r-pkgbuild”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-pkgbuild-1.4.1-r42hc72bb7e_0.conda”h+Œ 54cd46d4729b378d38103fc8389c37ac”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pkgbuild-1.4.1-r42hc72bb7e_0.conda”h0Œ@b8690f4382e4f93d31d26083d4258a379c36f05d4f2ba5a8131779c18f10a439”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr >=3.2.0”Œr-cli”Œr-crayon”Œr-desc”Œr-prettyunits”Œr-r6”Œr-rprojroot”Œr-withr >=2.1.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"d:É%hEJø  hFˆubh)”}”(hŒ
r-pkgbuild”h#Œ1.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-pkgbuild-1.4.1-r42hc72bb7e_1.conda”h+Œ d80d05bfad106d057ca6b1a80a30f93b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pkgbuild-1.4.1-r42hc72bb7e_1.conda”h0Œ@28f33537053e1ac7424681c9c97fc86c06dcd442197ebd458ab4a34b4cdb44ac”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr >=3.2.0”Œr-cli”Œr-crayon”Œr-desc”Œr-prettyunits”Œr-r6”Œr-rprojroot”Œr-withr >=2.1.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Š r°hEJè! hFˆubh)”}”(hŒ
r-pkgbuild”h#Œ1.4.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-pkgbuild-1.4.1-r43hc72bb7e_1.conda”h+Œ b8db96d855362ede7555fd8e6674e15a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pkgbuild-1.4.1-r43hc72bb7e_1.conda”h0Œ@31e49c52c7f54e7a2a89183b99a644e7d2d1527b693cfb2c3883e0b23431826d”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-callr >=3.2.0”Œr-cli”Œr-crayon”Œr-desc”Œr-prettyunits”Œr-r6”Œr-rprojroot”Œr-withr >=2.1.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ŠŸ—|îhEJ" hFˆubh)”}”(hŒ
r-pkgcache”h#Œ2.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-pkgcache-2.1.1-r42hc72bb7e_0.conda”h+Œ f0ea056dd4041a19e967899a19b5be7d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pkgcache-2.1.1-r42hc72bb7e_0.conda”h0Œ@db9c68c9afa26861800b805e2dfccd4c33e7a2e5cb05a490ec6fe1767992b23a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr >=2.0.4.9000”Œr-cli >=3.2.0”Œr-curl >=3.2”Œ
r-filelock”Œ
r-jsonlite”Œr-prettyunits”Œr-processx >=3.3.0.9001”Œr-r6”Œ
r-rappdirs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"‚»·KÇhEJÄB hFˆubh)”}”(hŒ
r-pkgcache”h#Œ2.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-pkgcache-2.1.1-r42hc72bb7e_1.conda”h+Œ 4fb78f4af3eea81691ef450892616ced”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pkgcache-2.1.1-r42hc72bb7e_1.conda”h0Œ@0918af199e2f22aa574fd2179ffc984259ed12ccb3f409842c6dca540d771493”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr >=2.0.4.9000”Œr-cli >=3.2.0”Œr-curl >=3.2”Œ
r-filelock”Œ
r-jsonlite”Œr-prettyunits”Œr-processx >=3.3.0.9001”Œr-r6”Œ
r-rappdirs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñá>ffhEJ–I hFˆubh)”}”(hŒ
r-pkgcache”h#Œ2.1.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-pkgcache-2.1.1-r43hc72bb7e_1.conda”h+Œ 9976de609d47390575226da83d255b80”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pkgcache-2.1.1-r43hc72bb7e_1.conda”h0Œ@35a0fb06738f3414ac0a6d6ca70b9062da03d909dc3c2bcd3e1e9b70ea712726”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-callr >=2.0.4.9000”Œr-cli >=3.2.0”Œr-curl >=3.2”Œ
r-filelock”Œ
r-jsonlite”Œr-prettyunits”Œr-processx >=3.3.0.9001”Œr-r6”Œ
r-rappdirs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñÜ&$ÝhEJ*Q hFˆubh)”}”(hŒr-pkgconfig”h#Œ2.0.3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ%r-pkgconfig-2.0.3-r42hc72bb7e_3.conda”h+Œ 469b66f84a5d234689b423c9821b188c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pkgconfig-2.0.3-r42hc72bb7e_3.conda”h0Œ@928cd5897492d83f367d065ed2e7dc155c361668fd8d9dcb3648dfed7434035b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"“ët¼hEMëfhFˆubh)”}”(hŒr-pkgconfig”h#Œ2.0.3”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ%r-pkgconfig-2.0.3-r43hc72bb7e_3.conda”h+Œ 8978eef741fffaa48be070693a17f42f”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pkgconfig-2.0.3-r43hc72bb7e_3.conda”h0Œ@1386c1a64451fd3220333f7cdad77c8baa797800cec3d9819e8c4b715559c979”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"§û"ÑhEM;ghFˆubh)”}”(hŒr-pkgdepends”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-pkgdepends-0.5.0-r41hc72bb7e_0.conda”h+Œ b7288e04d2ccf2f9febd62efded15625”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pkgdepends-0.5.0-r41hc72bb7e_0.conda”h0Œ@423fe8d4aeb8ea4b217a439cfb0c3a67fafd0e1997360233eee0141b7a486c2e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr >=3.3.1”Œr-cli >=2.1.0”Œr-crayon”Œr-curl”Œr-desc >=1.2.0”Œr-filelock >=1.0.2”Œr-glue”Œ
r-jsonlite”Œ	r-lpsolve”Œr-pkgbuild >=1.0.2”Œr-pkgcache >=1.2.0”Œr-prettyunits >=1.1.1”Œr-processx >=3.4.2”Œr-ps”Œr-r6”Œ
r-rematch2”Œr-rprojroot”Œr-tibble”Œr-withr >=2.1.1”Œr-zip >=2.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙý}
MÓhEJnx hFˆubh)”}”(hŒr-pkgdepends”h#Œ0.5.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-pkgdepends-0.5.0-r42hc72bb7e_0.conda”h+Œ eea09467f6f1fb3a2cd3aff9cfbb8b82”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pkgdepends-0.5.0-r42hc72bb7e_0.conda”h0Œ@9a3b284720faf937a78a259a5d4accf3aa5488353e9e61d5f01852f84e3f0b0b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr >=3.3.1”Œr-cli >=2.1.0”Œr-crayon”Œr-curl”Œr-desc >=1.2.0”Œr-filelock >=1.0.2”Œr-glue”Œ
r-jsonlite”Œ	r-lpsolve”Œr-pkgbuild >=1.0.2”Œr-pkgcache >=1.2.0”Œr-prettyunits >=1.1.1”Œr-processx >=3.4.2”Œr-ps”Œr-r6”Œ
r-rematch2”Œr-rprojroot”Œr-tibble”Œr-withr >=2.1.1”Œr-zip >=2.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙýp³hEJ9d hFˆubh)”}”(hŒ	r-pkgdown”h#Œ2.0.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-pkgdown-2.0.7-r41hc72bb7e_0.conda”h+Œ 920203409092879286052be292602c7a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pkgdown-2.0.7-r41hc72bb7e_0.conda”h0Œ@e295bab7e17e0c34f9a335d283dd00d3bc462c494bae285976be332dfe5e72ac”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bslib”Œr-callr >=2.0.2”Œr-crayon”Œr-desc”Œr-digest”Œr-downlit >=0.4.0”Œr-fs >=1.4.0”Œr-httr >=1.4.2”Œ
r-jsonlite”Œ
r-magrittr”Œ	r-memoise”Œr-purrr”Œr-ragg”Œr-rlang >=0.4.0”Œr-rmarkdown >=1.1.9007”Œr-tibble”Œ	r-whisker”Œr-withr”Œr-xml2 >=1.3.1”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæyu»dZhEJ] hFˆubh)”}”(hŒ	r-pkgdown”h#Œ2.0.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-pkgdown-2.0.7-r42hc72bb7e_0.conda”h+Œ 6032636457f432f34b76cda1e58654ef”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pkgdown-2.0.7-r42hc72bb7e_0.conda”h0Œ@3decd50eb213cc52f779a3b428a2d9146f6feacbc260867328de75a7cf5f41e0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bslib”Œr-callr >=2.0.2”Œr-crayon”Œr-desc”Œr-digest”Œr-downlit >=0.4.0”Œr-fs >=1.4.0”Œr-httr >=1.4.2”Œ
r-jsonlite”Œ
r-magrittr”Œ	r-memoise”Œr-purrr”Œr-ragg”Œr-rlang >=0.4.0”Œr-rmarkdown >=1.1.9007”Œr-tibble”Œ	r-whisker”Œr-withr”Œr-xml2 >=1.3.1”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæys#¥ãhEJØ hFˆubh)”}”(hŒ	r-pkgdown”h#Œ2.0.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-pkgdown-2.0.7-r42hc72bb7e_1.conda”h+Œ f96f8a61c3fdf451fb3808a40284f03d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pkgdown-2.0.7-r42hc72bb7e_1.conda”h0Œ@14d90920f41c90cdb8d7f7d85c90ff26c7678552e46217b4bdca3ada6e0c7f2c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bslib”Œr-callr >=2.0.2”Œr-crayon”Œr-desc”Œr-digest”Œr-downlit >=0.4.0”Œr-fs >=1.4.0”Œr-httr >=1.4.2”Œ
r-jsonlite”Œ
r-magrittr”Œ	r-memoise”Œr-purrr”Œr-ragg”Œr-rlang >=0.4.0”Œr-rmarkdown >=1.1.9007”Œr-tibble”Œ	r-whisker”Œr-withr”Œr-xml2 >=1.3.1”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÌÄÌ“hEJ  hFˆubh)”}”(hŒ	r-pkgdown”h#Œ2.0.7”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-pkgdown-2.0.7-r43hc72bb7e_1.conda”h+Œ 74a69d50e009767c65f51c0f8fc2ba1d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pkgdown-2.0.7-r43hc72bb7e_1.conda”h0Œ@1f4792f13a9d1834219f3bd6a9ea4d414e382a1de05703b1b9dd5e4e4e22ea62”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-bslib”Œr-callr >=2.0.2”Œr-crayon”Œr-desc”Œr-digest”Œr-downlit >=0.4.0”Œr-fs >=1.4.0”Œr-httr >=1.4.2”Œ
r-jsonlite”Œ
r-magrittr”Œ	r-memoise”Œr-purrr”Œr-ragg”Œr-rlang >=0.4.0”Œr-rmarkdown >=1.1.9007”Œr-tibble”Œ	r-whisker”Œr-withr”Œr-xml2 >=1.3.1”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ì¸LÝ/hEJæ hFˆubh)”}”(hŒr-pkgfilecache”h#Œ0.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-pkgfilecache-0.1.4-r42hc72bb7e_1.conda”h+Œ eb3f75d95f001ee817bdf87db941f785”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-pkgfilecache-0.1.4-r42hc72bb7e_1.conda”h0Œ@e2c7d4a0985dd14e54679dd1510e3d36e36710bc7fb46706db32c82a2fcf824b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-downloader”Œ
r-rappdirs”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñÎT‹DhEJ8 hFˆubh)”}”(hŒr-pkgfilecache”h#Œ0.1.4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-pkgfilecache-0.1.4-r43hc72bb7e_1.conda”h+Œ 08633a9a11d78eecd4d4f80813b0e2e7”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-pkgfilecache-0.1.4-r43hc72bb7e_1.conda”h0Œ@f9f541d7e5a35ef4b97d0159e63933dd1c7d345ca226c6f199fb55a50cf08d11”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-downloader”Œ
r-rappdirs”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñÖ*n˜hEJ7  hFˆubh)”}”(hŒ	r-pkgload”h#Œ1.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-pkgload-1.3.2-r42hc72bb7e_1.conda”h+Œ a9e29e476e2affbf9f65f279ba40fa1b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pkgload-1.3.2-r42hc72bb7e_1.conda”h0Œ@e9ec48716e3d819e62b5538d8a70046c4ddcea647b3c8bf8a311990f24103979”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.3.0”Œr-crayon”Œr-desc”Œr-fs”Œr-glue”Œr-rlang >=1.0.3”Œr-rprojroot”Œr-withr >=2.4.3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"MÂ¸RhEJ&û hFˆubh)”}”(hŒ	r-pkgload”h#Œ1.3.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-pkgload-1.3.2-r43hc72bb7e_1.conda”h+Œ 197dda01452a1212117697451a2fe77c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pkgload-1.3.2-r43hc72bb7e_1.conda”h0Œ@179b949c853f309c7df7c1737fac6ebfd55b5944f33f48f6e89337cdeb8425cb”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli >=3.3.0”Œr-crayon”Œr-desc”Œr-fs”Œr-glue”Œr-rlang >=1.0.3”Œr-rprojroot”Œr-withr >=2.4.3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"MÕôZhEJËø hFˆubh)”}”(hŒ
r-pkgmaker”h#Œ0.32.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-pkgmaker-0.32.10-r41hc72bb7e_0.conda”h+Œ 3f16fd63268c6553f5b017ee7bb6937b”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pkgmaker-0.32.10-r41hc72bb7e_0.conda”h0Œ@c5be03d6af21c770cda388b09e8dbcfbaf4ae2b4b3c11ede5639f2370c37ad3f”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-bibtex >=0.4”Œr-codetools”Œr-digest”Œ
r-magrittr”Œ
r-registry”Œ	r-stringi”Œ	r-stringr”Œr-withr”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ–ˆõ‘hhEJwŒ
 hFˆubh)”}”(hŒ
r-pkgmaker”h#Œ0.32.10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-pkgmaker-0.32.10-r42hc72bb7e_0.conda”h+Œ 41f632400902587b322105d0dc7004a0”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pkgmaker-0.32.10-r42hc72bb7e_0.conda”h0Œ@905afc2d6389a16776f8a72052f0eaa1577de2e465b021614fdf8d805d521afd”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-bibtex >=0.4”Œr-codetools”Œr-digest”Œ
r-magrittr”Œ
r-registry”Œ	r-stringi”Œ	r-stringr”Œr-withr”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ–‡D¼jhEJäŒ
 hFˆubh)”}”(hŒ
r-pkgmaker”h#Œ0.32.10”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-pkgmaker-0.32.10-r42hc72bb7e_1.conda”h+Œ 939077a8e735e9fc00e67c7e1bd4c527”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pkgmaker-0.32.10-r42hc72bb7e_1.conda”h0Œ@4f3a98c7ec71930248a0ee9bacfe4be7bee1e9227b25f0cc4470732b78de0c1c”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-bibtex >=0.4”Œr-codetools”Œr-digest”Œ
r-magrittr”Œ
r-registry”Œ	r-stringi”Œ	r-stringr”Œr-withr”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"¬EðƒhEJ‰
 hFˆubh)”}”(hŒ
r-pkgmaker”h#Œ0.32.10”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-pkgmaker-0.32.10-r43hc72bb7e_1.conda”h+Œ ecc7c90afc8ae9f8725550acdb5454f9”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pkgmaker-0.32.10-r43hc72bb7e_1.conda”h0Œ@8ef6898a8734e2d3165df43e1fd8fb44de47a6417ebb6786c81de2e80db3d622”h2NhNh3(Œr-assertthat”Œr-base >=4.3,<4.4.0a0”Œr-bibtex >=0.4”Œr-codetools”Œr-digest”Œ
r-magrittr”Œ
r-registry”Œ	r-stringi”Œ	r-stringr”Œr-withr”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"¬KÐA‰hEJúˆ
 hFˆubh)”}”(hŒr-plm”h#Œ2.6_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-plm-2.6_3-r41hc72bb7e_0.conda”h+Œ 588f943fc8b094cdf86d1876d8708915”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-plm-2.6_3-r41hc72bb7e_0.conda”h0Œ@42570ca6fc8cafc07c050a0b1ffd358a461785cdb14de3c4e44ad266c03002a2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bdsmatrix”Œr-collapse >=1.6.0”Œ	r-formula”Œ	r-lattice”Œr-lmtest”Œr-mass”Œr-maxlik”Œr-nlme”Œr-rdpack”Œ
r-sandwich”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ°ì§KÇhEJ j! hFˆubh)”}”(hŒr-plm”h#Œ2.6_3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-plm-2.6_3-r42hc72bb7e_0.conda”h+Œ 54d5dccc1d544372f90c69bbd08bee1a”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-plm-2.6_3-r42hc72bb7e_0.conda”h0Œ@722223582bf97c19e601e71401d4c7dea79e09cb8a45a87c6a733c42d7561160”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bdsmatrix”Œr-collapse >=1.6.0”Œ	r-formula”Œ	r-lattice”Œr-lmtest”Œr-mass”Œr-maxlik”Œr-nlme”Œr-rdpack”Œ
r-sandwich”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ°þé‰7hEJUX! hFˆubh)”}”(hŒr-plogr”h#Œ0.2.0”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ$r-plogr-0.2.0-r42hc72bb7e_1005.conda”h+Œ a5e3af4a9dd9498cbbaac8ce73cdc877”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-plogr-0.2.0-r42hc72bb7e_1005.conda”h0Œ@835e3efc3f49b4efca4d9b5cc28c9a2da24794737ca513acdf9cd2ccb93075b6”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"áßKÇhEMóVhFˆubh)”}”(hŒr-plogr”h#Œ0.2.0”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ$r-plogr-0.2.0-r43hc72bb7e_1005.conda”h+Œ 633ef9df9c1bb47608f57a3918ee3362”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-plogr-0.2.0-r43hc72bb7e_1005.conda”h0Œ@37bc05db52db91b6661bae4b3b0fc87d0138859099dc489af2e856dbff54b6c0”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ãˆbNhEMtVhFˆubh)”}”(hŒr-plot3d”h#Œ1.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-plot3d-1.4-r42hc72bb7e_2.conda”h+Œ ba415d43a83e5d2691fe40acb8a92be2”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-plot3d-1.4-r42hc72bb7e_2.conda”h0Œ@8a0b4cb769d60fd1d21e329499e0556f1352114f1dad1fff22d50a3aaae7bc29”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-misc3d”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"Ë/l‹hEJÂ¢* hFˆubh)”}”(hŒr-plot3d”h#Œ1.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-plot3d-1.4-r43hc72bb7e_2.conda”h+Œ 9236ce598917fd31e06bc41b4a97a2d7”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-plot3d-1.4-r43hc72bb7e_2.conda”h0Œ@e73896787a6975f01ea893b4155c832ce88b70146fa56d423968a147d70914f9”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-misc3d”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"Á¿
=hEJj¡* hFˆubh)”}”(hŒr-plotly”h#Œ4.10.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-plotly-4.10.2-r41hc72bb7e_0.conda”h+Œ 4969add7a0206fbd3360055b0e38ff7d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-plotly-4.10.2-r41hc72bb7e_0.conda”h0Œ@38785e19fc162dae4452e0777d7fd76f48162936cb4aac1941fb7264ca344f9b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-crosstalk”Œr-data.table”Œr-digest”Œr-dplyr”Œr-ggplot2 >=3.0.0”Œr-hexbin”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.3”Œr-httr”Œr-jsonlite >=1.6”Œr-lazyeval >=0.2.0”Œ
r-magrittr”Œ
r-promises”Œr-purrr”Œr-rcolorbrewer”Œr-rlang”Œr-scales”Œr-tibble”Œr-tidyr”Œr-viridislite”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙábYÛ#hEJÑ·+ hFˆubh)”}”(hŒr-plotly”h#Œ4.10.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-plotly-4.10.2-r42hc72bb7e_0.conda”h+Œ 3c57193a657f97041c902d6a61c77353”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-plotly-4.10.2-r42hc72bb7e_0.conda”h0Œ@c4709c12409c30cf6939486c3bde49164860c467a5c9384e2a280e35733c15da”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-crosstalk”Œr-data.table”Œr-digest”Œr-dplyr”Œr-ggplot2 >=3.0.0”Œr-hexbin”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.3”Œr-httr”Œr-jsonlite >=1.6”Œr-lazyeval >=0.2.0”Œ
r-magrittr”Œ
r-promises”Œr-purrr”Œr-rcolorbrewer”Œr-rlang”Œr-scales”Œr-tibble”Œr-tidyr”Œr-viridislite”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙáSÀå`hEJTÁ+ hFˆubh)”}”(hŒr-plotly”h#Œ4.10.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-plotly-4.10.2-r42hc72bb7e_1.conda”h+Œ 3d81433410e47b85c8f891397727309c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-plotly-4.10.2-r42hc72bb7e_1.conda”h0Œ@341248589f94b6043e616fe28be100a30e0bd67fc54ee04a22e989b27e284a58”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-crosstalk”Œr-data.table”Œr-digest”Œr-dplyr”Œr-ggplot2 >=3.0.0”Œr-hexbin”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.3”Œr-httr”Œr-jsonlite >=1.6”Œr-lazyeval >=0.2.0”Œ
r-magrittr”Œ
r-promises”Œr-purrr”Œr-rcolorbrewer”Œr-rlang”Œr-scales”Œr-tibble”Œr-tidyr”Œr-viridislite”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´®»Æ¨hEJ’Á+ hFˆubh)”}”(hŒr-plotly”h#Œ4.10.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-plotly-4.10.2-r43hc72bb7e_1.conda”h+Œ fe696e6709603fe7b8d86d66dc0f602d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-plotly-4.10.2-r43hc72bb7e_1.conda”h0Œ@f41204ed2435a59a3a530db127a8905cf51faa2450846a6201d39d9f1d0083db”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc”Œr-crosstalk”Œr-data.table”Œr-digest”Œr-dplyr”Œr-ggplot2 >=3.0.0”Œr-hexbin”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.3”Œr-httr”Œr-jsonlite >=1.6”Œr-lazyeval >=0.2.0”Œ
r-magrittr”Œ
r-promises”Œr-purrr”Œr-rcolorbrewer”Œr-rlang”Œr-scales”Œr-tibble”Œr-tidyr”Œr-viridislite”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´®¸bhEJ#½+ hFˆubh)”}”(hŒr-plotmo”h#Œ3.6.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-plotmo-3.6.2-r42hc72bb7e_2.conda”h+Œ 5118dec4768af7850760693b544733d2”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-plotmo-3.6.2-r42hc72bb7e_2.conda”h0Œ@3f125865dc7516c88d4d1937d979debe68ae7fb9adb97486b1530c2ec1078d9f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-formula >=1.2_3”Œ	r-plotrix”Œr-teachingdemos”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"æ0÷ÎÙhEJ¯n hFˆubh)”}”(hŒr-plotmo”h#Œ3.6.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-plotmo-3.6.2-r43hc72bb7e_2.conda”h+Œ 870db2c11d899c24e2921a4db8c04504”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-plotmo-3.6.2-r43hc72bb7e_2.conda”h0Œ@05dcbe63bc4bd86dcbbda53aaf17539c8885f3fa178bb50a24484fdf63986e36”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-formula >=1.2_3”Œ	r-plotrix”Œr-teachingdemos”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"æ(ÂÐåhEJ‰k hFˆubh)”}”(hŒ	r-plotrix”h#Œ3.8_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-plotrix-3.8_2-r42hc72bb7e_2.conda”h+Œ 2b991ef171e6819c7574de19f1978830”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-plotrix-3.8_2-r42hc72bb7e_2.conda”h0Œ@585e16ddbdc088d14e7a421c80213aa743bcabfb29184c4ea5f302a096e76ea5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"„ìÛ"ÑhEJ²k hFˆubh)”}”(hŒ	r-plotrix”h#Œ3.8_2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-plotrix-3.8_2-r43hc72bb7e_2.conda”h+Œ 4590f6725345a3cf40100a6b8802df1f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-plotrix-3.8_2-r43hc72bb7e_2.conda”h0Œ@be29396cc7f78c8b0791036ddab428a3e2b4758aac929e402dcf5789a9089dae”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"„â×²hEJlT hFˆubh)”}”(hŒr-plottools”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-plottools-0.2.0-r41hc72bb7e_0.conda”h+Œ 53e2043d1386e1e6eb63647e86c69caf”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-plottools-0.2.0-r41hc72bb7e_0.conda”h0Œ@5aaf6b4c91150fcbbd6345a39e533c5934343d89989a09672e79db9be8604a3a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙÚþùÛhEMÏhFˆubh)”}”(hŒr-plottools”h#Œ0.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-plottools-0.2.0-r42hc72bb7e_0.conda”h+Œ f6930e08af9eb27461dbb5db88c67f37”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-plottools-0.2.0-r42hc72bb7e_0.conda”h0Œ@0adac08ee0d9c49933870aef847d21f1c9fdca27037e1f0cdc67e673f17173ac”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙÚ¬×®hEMÐhFˆubh)”}”(hŒr-pls”h#Œ2.8_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-pls-2.8_2-r41hc72bb7e_0.conda”h+Œ 71179e96bbfe9771de88a7cd91aaee66”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pls-2.8_2-r41hc72bb7e_0.conda”h0Œ@5d5bcab5347e8f438bcfc44bf547dd46f78a371c749a9da019deee5a69fcdacd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÍÃÇß;hEJU hFˆubh)”}”(hŒr-pls”h#Œ2.8_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-pls-2.8_2-r42hc72bb7e_0.conda”h+Œ d6674bbc540f62b72f7205a36b045f99”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pls-2.8_2-r42hc72bb7e_0.conda”h0Œ@38c6756a35c8bcc5fb655101a1da94548bb70618c8bfd218a61436dfcfdb1cbf”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÍÀ_|îhEJu hFˆubh)”}”(hŒr-pls”h#Œ2.8_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-pls-2.8_2-r42hc72bb7e_1.conda”h+Œ a61ac3a94d1e80e47208839ab147e6b6”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pls-2.8_2-r42hc72bb7e_1.conda”h0Œ@612db434b2cda405497659c9c58600394b2c6f840f5ccf003e9dc4696dcf236d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¸«Â\hEJ" hFˆubh)”}”(hŒr-pls”h#Œ2.8_2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒr-pls-2.8_2-r43hc72bb7e_1.conda”h+Œ a61bbd71dc259360dfe8e270e18c1ab3”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pls-2.8_2-r43hc72bb7e_1.conda”h0Œ@a0cebc920ce87c117c0982e3005ce24f7b42d56a2a6336276db843a268113e7f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¸¨.{hEJ hFˆubh)”}”(hŒ
r-plsdepot”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-plsdepot-0.2.0-r41hc72bb7e_0.conda”h+Œ 0007e4c792afc354dcb51539159475d4”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-plsdepot-0.2.0-r41hc72bb7e_0.conda”h0Œ@d46ea3df3a57d5c36973fe1dc06e03718ec39d3ae770ab9c2b02b30f4ba56a4d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙÂ»÷ÏhEJWD hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGAØáÓ•‘hhEJ©S hFˆubh)”}”(hŒr-plsdof”h#Œ0.3_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-plsdof-0.3_2-r42hc72bb7e_0.conda”h+Œ b6ac99de8884dd663d96c393814b09a9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-plsdof-0.3_2-r42hc72bb7e_0.conda”h0Œ@dfe93716fb0388907987c5630d02fa9a0ba2bc7d2ada018bb519920e8d05af09”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØáÓƒÕ‘hhEJRU hFˆubh)”}”(hŒr-plspm”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-plspm-0.5.0-r41hc72bb7e_0.conda”h+Œ 1ca7d44894fd69f56ec5564013f18bba”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-plspm-0.5.0-r41hc72bb7e_0.conda”h0Œ@90873e8d571b15680cf07c489d4561efc21e2d1a8d09e33131127bca5d728c0a”h2NhNh3(Œr-amap”Œr-base >=4.1,<4.2.0a0”Œ	r-diagram”Œr-shape”Œr-tester”Œr-turner”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙÈ˜o
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r-progress”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØðt_ïžhEJrA hFˆubh)”}”(hŒr-plsvarsel”h#Œ0.9.10”h%Œr42h785f33e_0”h'K hhh(h)hŒ&r-plsvarsel-0.9.10-r42h785f33e_0.conda”h+Œ b96d92c36a408234c1687bb6d95baec1”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plsvarsel-0.9.10-r42h785f33e_0.conda”h0Œ@29a2326047cf80b61067d65fb4d4a4ab6ed7f9f7544e7c37f2c4234e764e14ae”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bdsmatrix”Œr-genalg”Œr-mass”Œr-msqc”Œ	r-mvtnorm”Œr-pls”Œ	r-praznik”Œ
r-progress”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØðlš\hEJ¨B hFˆubh)”}”(hŒr-pmcmr”h#Œ4.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-pmcmr-4.4-r42hc72bb7e_2.conda”h+Œ d8d240814847703e4fe7afc16e8cacdc”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pmcmr-4.4-r42hc72bb7e_2.conda”h0Œ@cd38567ed86d784d3d75d356d0cf7424316f14adfc7334f889cef1c819d762db”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÙ#ºÆéyhEJ¡ hFˆubh)”}”(hŒr-pmcmr”h#Œ4.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-pmcmr-4.4-r43hc72bb7e_2.conda”h+Œ c03d0ab2ab7d885dd2753c9335ab99b6”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pmcmr-4.4-r43hc72bb7e_2.conda”h0Œ@50344931a3715b137fce1ea519a40fe7cfce57df919d541eff5593e044c115f3”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÙ#³ÊJhEJš hFˆubh)”}”(hŒr-pmsampsize”h#Œ1.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-pmsampsize-1.1.2-r41hc72bb7e_0.conda”h+Œ 3108cfa3af04844637c072bf1c2753cf”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pmsampsize-1.1.2-r41hc72bb7e_0.conda”h0Œ@e9dda57a3d4b08bbdcd5f386a06017a66651d5d074b01d7a5d10fc423b457f65”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙzøcC–hEM&óhFˆubh)”}”(hŒr-pmsampsize”h#Œ1.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-pmsampsize-1.1.2-r42hc72bb7e_0.conda”h+Œ 7012a360d0e8733152c8da140de6b850”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pmsampsize-1.1.2-r42hc72bb7e_0.conda”h0Œ@ccf1b41b6d39f582adc87b6a3571a3019bd350c272bbaa626b36af0e893cba16”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙzê•¸hEMžóhFˆubh)”}”(hŒr-pointblank”h#Œ0.11.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-pointblank-0.11.4-r41hc72bb7e_0.conda”h+Œ f6ba09da9dc627064c64ca5d213c6897”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pointblank-0.11.4-r41hc72bb7e_0.conda”h0Œ@21d896e81bbf45099f1d3dd29ebb9947e1d3c6d84b5945da7c2dd409c9882408”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc >=0.1_3”Œr-blastula >=0.3.2”Œr-cli >=2.2.0”Œr-dbi >=1.1.0”Œr-dbplyr >=1.4.4”Œr-digest >=0.6.25”Œr-dplyr >=1.0.2”Œr-fs >=1.4.1”Œr-glue >=1.4.2”Œr-gt >=0.2.2”Œr-htmltools >=0.5.0”Œr-knitr >=1.30”Œ
r-magrittr”Œr-rlang >=0.4.9”Œr-scales >=1.1.1”Œr-testthat >=2.3.2”Œr-tibble >=3.0.4”Œr-tidyr >=1.1.2”Œr-tidyselect >=1.1.0”Œr-yaml >=2.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ¤ñXhEJ{Ý) hFˆubh)”}”(hŒr-pointblank”h#Œ0.11.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-pointblank-0.11.4-r42hc72bb7e_0.conda”h+Œ 0eaf880fbb97f723f5f68b4b32d45059”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pointblank-0.11.4-r42hc72bb7e_0.conda”h0Œ@45119cf19151ed4823cf7549afab28e7734c0e83dffc4e411e9a3f21bade9363”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc >=0.1_3”Œr-blastula >=0.3.2”Œr-cli >=2.2.0”Œr-dbi >=1.1.0”Œr-dbplyr >=1.4.4”Œr-digest >=0.6.25”Œr-dplyr >=1.0.2”Œr-fs >=1.4.1”Œr-glue >=1.4.2”Œr-gt >=0.2.2”Œr-htmltools >=0.5.0”Œr-knitr >=1.30”Œ
r-magrittr”Œr-rlang >=0.4.9”Œr-scales >=1.1.1”Œr-testthat >=2.3.2”Œr-tibble >=3.0.4”Œr-tidyr >=1.1.2”Œr-tidyselect >=1.1.0”Œr-yaml >=2.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ·ðA‰hEJòß) hFˆubh)”}”(hŒ	r-polynom”h#Œ1.4_1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-polynom-1.4_1-r42hc72bb7e_2.conda”h+Œ 4112d410d79c31171130f0b21d00a1c5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-polynom-1.4_1-r42hc72bb7e_2.conda”h0Œ@4516d5b4932c733c2f28202bebf145ec71aaf662c4f22077cbeb88b0a135279d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"„í©ÊÁhEJÿ hFˆubh)”}”(hŒ	r-polynom”h#Œ1.4_1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-polynom-1.4_1-r43hc72bb7e_2.conda”h+Œ 5dd9efddffad0b23d80b78120b19f672”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-polynom-1.4_1-r43hc72bb7e_2.conda”h0Œ@4c9bd6684c50b00d3a76c22c4da9e972ce84ee8798458f7b35b86cf868f8ee3f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"„ú±ë…hEJ• hFˆubh)”}”(hŒr-pool”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-pool-1.0.1-r41hc72bb7e_0.conda”h+Œ f67fa51b84e0fdab522a5cd57142d6e1”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-pool-1.0.1-r41hc72bb7e_0.conda”h0Œ@9daa84ed99cc398b39c992cd868c368007323393750a6d4da985c48e0aced7b8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dbi”Œr-dbplyr”Œr-dplyr”Œr-later”Œr-r6”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØýDa¦È´hEJÄ hFˆubh)”}”(hŒr-pool”h#Œ1.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-pool-1.0.1-r42hc72bb7e_0.conda”h+Œ 831543dc46112929d7c95779d019317c”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-pool-1.0.1-r42hc72bb7e_0.conda”h0Œ@6bbcee14df570f68fa791950c73619239146b9fd337866280803aa4d1e0a3efd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dbi”Œr-dbplyr”Œr-dplyr”Œr-later”Œr-r6”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØýDkºáHhEJI hFˆubh)”}”(hŒ	r-poorman”h#Œ0.2.6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-poorman-0.2.6-r42hc72bb7e_2.conda”h+Œ a715bb1af1ee957e6a8b33f10b00502c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-poorman-0.2.6-r42hc72bb7e_2.conda”h0Œ@2e7959bea8128c785a989390dcd0adc659381cb05fcd20c0b05ed03b71cf7e82”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#¸MÂhEJ]ß hFˆubh)”}”(hŒ	r-poorman”h#Œ0.2.6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-poorman-0.2.6-r43hc72bb7e_2.conda”h+Œ b760347e8f256ed6f3a50fb3aff949a2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-poorman-0.2.6-r43hc72bb7e_2.conda”h0Œ@4b2c776ac521736783caff894a126936d96c1cb2ee18591a5e95981f3fff91ef”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#±EÒòhEJŸÌ hFˆubh)”}”(hŒr-posterior”h#Œ1.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-posterior-1.4.1-r41hc72bb7e_0.conda”h+Œ a47624d741be2e8e3fe120504573d672”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-posterior-1.4.1-r41hc72bb7e_0.conda”h0Œ@e8fb69b816398565fa02c377a732c309488cf566cf7208928f12124161785616”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-distributional”Œr-matrixstats”Œr-pillar”Œr-rlang >=0.4.7”Œ	r-tensora”Œr-tibble >=3.0.0”Œr-vctrs”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ?zŸ¾hEJ
 hFˆubh)”}”(hŒr-posterior”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-posterior-1.4.1-r42hc72bb7e_0.conda”h+Œ 19646b367be44c2c530c1a9ed3511c3a”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-posterior-1.4.1-r42hc72bb7e_0.conda”h0Œ@305c1d61692627762b92e93aa0f05e959d0f39e22c40322e135af849579fd4f6”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-distributional”Œr-matrixstats”Œr-pillar”Œr-rlang >=0.4.7”Œ	r-tensora”Œr-tibble >=3.0.0”Œr-vctrs”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ6?|îhEJ° hFˆubh)”}”(hŒr-posterior”h#Œ1.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-posterior-1.4.1-r42hc72bb7e_1.conda”h+Œ 0b5a7aff90ccb755919dafbfbd88bf9b”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-posterior-1.4.1-r42hc72bb7e_1.conda”h0Œ@a7bab0665bfd73f6e528137b5ac71d604cb55d9ac4b821cac84546b54ca1b63c”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-distributional”Œr-matrixstats”Œr-pillar”Œr-rlang >=0.4.7”Œ	r-tensora”Œr-tibble >=3.0.0”Œr-vctrs”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"ÇZÌ(öhEJÜ hFˆubh)”}”(hŒr-posterior”h#Œ1.4.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-posterior-1.4.1-r43hc72bb7e_1.conda”h+Œ ddebc40510e2f8b215519e26db1bf412”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-posterior-1.4.1-r43hc72bb7e_1.conda”h0Œ@b64e69acc10a4716c514c321fcd14d62a558890ccfd0fcc708a3901f8294fba8”h2NhNh3(Œr-abind”Œr-base >=4.3,<4.4.0a0”Œr-checkmate”Œr-distributional”Œr-matrixstats”Œr-pillar”Œr-rlang >=0.4.7”Œ	r-tensora”Œr-tibble >=3.0.0”Œr-vctrs”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"ÇOH ÅhEJCù hFˆubh)”}”(hŒr-ppcor”h#Œ1.1”h%Œr42ha770c72_1005”h'Míhhh(h)hŒ"r-ppcor-1.1-r42ha770c72_1005.conda”h+Œ 93860b60454eb85599f9b75ef05416fa”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ppcor-1.1-r42ha770c72_1005.conda”h0Œ@fc7a622d6a2978bd2e6d3fc5a15a0620e3422c94c484a0f67518ea2f90af4a2e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"ñÓÆÙhEM7¤hFˆubh)”}”(hŒr-ppcor”h#Œ1.1”h%Œr43ha770c72_1005”h'Míhhh(h)hŒ"r-ppcor-1.1-r43ha770c72_1005.conda”h+Œ 2775c86188e5907c5945801ce90d9e43”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ppcor-1.1-r43ha770c72_1005.conda”h0Œ@1ceccc011da46b6b28191d171eaabf1ed6828807bb661f30712243eecdc3284b”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"ñË(ÄœhEMÈ£hFˆubh)”}”(hŒ
r-prabclus”h#Œ2.3_2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ$r-prabclus-2.3_2-r42hc72bb7e_3.conda”h+Œ cc21e6f5bdeb3966a9e27b1b92a38dd6”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-prabclus-2.3_2-r42hc72bb7e_3.conda”h0Œ@1b8afb776c3f7859b0ad00f3917043588183ed15be30480b7519b48048456222”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-mclust”‡”h9hºh@ŒGPL”hBŒGPL”hDGAÙ"Á%?}hEJ;c hFˆubh)”}”(hŒ
r-prabclus”h#Œ2.3_2”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ$r-prabclus-2.3_2-r43hc72bb7e_3.conda”h+Œ e73a11f24714892ce8f0cf03210cc976”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-prabclus-2.3_2-r43hc72bb7e_3.conda”h0Œ@99919c18fa1ba5b4b26d5f384fbbbd664226ab3d693d948bee12eb0ab423f286”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-mass”Œr-mclust”‡”h9hºh@ŒGPL”hBŒGPL”hDGAÙ"Á$†¸RhEJk_ hFˆubh)”}”(hŒr-pracma”h#Œ2.4.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-pracma-2.4.2-r42hc72bb7e_2.conda”h+Œ df0397095669da77d9072d740a01a75a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pracma-2.4.2-r42hc72bb7e_2.conda”h0Œ@1f532005a95f4f3aadce531623cfb2075774e4387d168c732b6473e96c585cd9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"„‰üjhEJ hFˆubh)”}”(hŒr-pracma”h#Œ2.4.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-pracma-2.4.2-r43hc72bb7e_2.conda”h+Œ 61e264eb607f80c843298395d7397aca”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pracma-2.4.2-r43hc72bb7e_2.conda”h0Œ@58db9af41ef02cb7e3547a457a3a49a8828fe479b259d268d27cb70e01b6a2cf”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"„Šh£×hEJ@Ó hFˆubh)”}”(hŒr-praise”h#Œ1.0.0”h%Œr42hc72bb7e_1007”h'Mïhhh(h)hŒ%r-praise-1.0.0-r42hc72bb7e_1007.conda”h+Œ c3c56e7a41762d0e3fcc82d5211650bf”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-praise-1.0.0-r42hc72bb7e_1007.conda”h0Œ@9f54840ef9f8a6a370835bf533ab8d0d9583f3a513206f30e037cd43b548f41b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"6žKC–hEMøbhFˆubh)”}”(hŒr-praise”h#Œ1.0.0”h%Œr43hc72bb7e_1007”h'Mïhhh(h)hŒ%r-praise-1.0.0-r43hc72bb7e_1007.conda”h+Œ 0b5f0912a64db791b7ab9bae6016b2c8”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-praise-1.0.0-r43hc72bb7e_1007.conda”h0Œ@038e8554a2125fb4f261f3d1a57d7abe1a6be0310f334ac52c96e5026ee800a5”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"6˜g hEMîbhFˆubh)”}”(hŒr-prediction”h#Œ0.3.14”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ'r-prediction-0.3.14-r42hc72bb7e_4.conda”h+Œ 603760c0d453ed50df29d9210c188e54”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-prediction-0.3.14-r42hc72bb7e_4.conda”h0Œ@61ae406f40413cd2c0d77566c95e8c91dcc64ff9ef7462efa987bb0cd2ec5c4b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñÕLjhEJâ‰ hFˆubh)”}”(hŒr-prediction”h#Œ0.3.14”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ'r-prediction-0.3.14-r43hc72bb7e_4.conda”h+Œ 8ba845843e8edb1a78c57a32fa02c534”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-prediction-0.3.14-r43hc72bb7e_4.conda”h0Œ@9ebf46950f01771c697a24158b510dc63532f02d832f1ebc57681ceec634cd07”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñÁ6E¢hEJÔ‰ hFˆubh)”}”(hŒr-predictmeans”h#Œ1.0.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-predictmeans-1.0.8-r41hc72bb7e_0.conda”h+Œ d516634b6a1dc2535ded4da47a8f75d0”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-predictmeans-1.0.8-r41hc72bb7e_0.conda”h0Œ@c5b07361643beb37cc3c8a0c78b40d9eafef443d525dce9b9ba95ad72d628337”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ	r-ggplot2”Œr-hrw”Œr-lme4”Œ	r-lmeinfo”Œ
r-lmertest”Œr-lmesplines”Œr-mass”Œr-matrix”Œr-nlme”Œ
r-numderiv”Œ
r-pbkrtest”Œr-plotly”Œr-plyr”Œ
r-splines2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØàŒ,î§ðhEJÁ hFˆubh)”}”(hŒr-predictmeans”h#Œ1.0.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-predictmeans-1.0.8-r42hc72bb7e_0.conda”h+Œ 9debdc5e19de411a519f8d629e493925”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-predictmeans-1.0.8-r42hc72bb7e_0.conda”h0Œ@146bd5f2996dd31c5a4c6d7785889ae62d1c79ca654810de57f5630f17e61505”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œ	r-ggplot2”Œr-hrw”Œr-lme4”Œ	r-lmeinfo”Œ
r-lmertest”Œr-lmesplines”Œr-mass”Œr-matrix”Œr-nlme”Œ
r-numderiv”Œ
r-pbkrtest”Œr-plotly”Œr-plyr”Œ
r-splines2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØàŒ5±xÕhEJY  hFˆubh)”}”(hŒr-predictnmb”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-predictnmb-0.2.1-r41hc72bb7e_0.conda”h+Œ 9aa24ad8efe3fc03c3f74ffe845d43f2”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-predictnmb-0.2.1-r41hc72bb7e_0.conda”h0Œ@62db7996ebb458963ce0a3df164d3f37cbfc6339efc887950658ca1afb2a946f”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-cutpointr”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-pmsampsize”Œr-rlang”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙÀ wïžhEJaØ hFˆubh)”}”(hŒr-predictnmb”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-predictnmb-0.2.1-r42hc72bb7e_0.conda”h+Œ a390461064614a9214cfb45d5d7d8227”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-predictnmb-0.2.1-r42hc72bb7e_0.conda”h0Œ@4267e395a16f49b2755ccbe6c1c1a52a8047ce0ad70170765a59ddc8e888de5f”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-cutpointr”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-pmsampsize”Œr-rlang”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙÀ¡&éhEJÉ× hFˆubh)”}”(hŒ	r-preregr”h#Œ0.2.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-preregr-0.2.9-r41hc72bb7e_0.conda”h+Œ 8dc1cb4697df9b7ac9f258b8f91af0f3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-preregr-0.2.9-r41hc72bb7e_0.conda”h0Œ@6117e841c635f91cfcb389652682fd28063c996d64e03d05f00c252362010b65”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.0”Œr-jsonlite >=1.7”Œr-rmdpartials >=0.5.8”Œr-yaml >=2.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ1˜½hEJÄ hFˆubh)”}”(hŒ	r-preregr”h#Œ0.2.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-preregr-0.2.9-r42hc72bb7e_0.conda”h+Œ 95726a3c4de97db99b2894f8d7fb93b3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-preregr-0.2.9-r42hc72bb7e_0.conda”h0Œ@d0c4a3222b580a5678ce8673bc92bbb47f59ed6259d4c638d2fd34980e41beee”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.0”Œr-jsonlite >=1.7”Œr-rmdpartials >=0.5.8”Œr-yaml >=2.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ1˜®hEJ"‚ hFˆubh)”}”(hŒr-presenceabsence”h#Œ1.1.11”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-presenceabsence-1.1.11-r41hc72bb7e_0.conda”h+Œ 7d872de29ff9ab52d7e363e9385502cf”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-presenceabsence-1.1.11-r41hc72bb7e_0.conda”h0Œ@1febdf0baf96bc6d0501d6b9269287353ae59b7879469846a97ae4fbc1837324”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLicenseRef-Unlimited”hBŒother”hDGAØîJÐJn˜hEJüÀ hFˆubh)”}”(hŒr-presenceabsence”h#Œ1.1.11”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ,r-presenceabsence-1.1.11-r42hc72bb7e_0.conda”h+Œ e93fbffb6ecf670e1a9f5c117157f85d”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-presenceabsence-1.1.11-r42hc72bb7e_0.conda”h0Œ@36c16c785628f090ac45b16ff3d8dad7ca2c9b67bf71ba6e9190a4436dc8dcaa”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLicenseRef-Unlimited”hBŒother”hDGAØîJÚeVhEJÐÂ hFˆubh)”}”(hŒr-presenceabsence”h#Œ1.1.11”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-presenceabsence-1.1.11-r42hc72bb7e_1.conda”h+Œ 25e5beb36a89f90777cda092bc1da5ba”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-presenceabsence-1.1.11-r42hc72bb7e_1.conda”h0Œ@735ab9b7bc9475c09861d66a32f5288b4e097e56b9df9d70e8d56f87ef1ca831”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLicenseRef-Unlimited”hBŒother”hDGAÙ#–W®hEJ¯Á hFˆubh)”}”(hŒr-presenceabsence”h#Œ1.1.11”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ,r-presenceabsence-1.1.11-r43hc72bb7e_1.conda”h+Œ 59fec44a859c14c5b3c11af1fd489333”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-presenceabsence-1.1.11-r43hc72bb7e_1.conda”h0Œ@23e2758e17d597aa9176f32c21211aa257c1db7097bf42dad6dc9e475e008c6f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLicenseRef-Unlimited”hBŒother”hDGAÙ#¦65?hEJÀÂ hFˆubh)”}”(hŒr-presenter”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-presenter-0.1.2-r41hc72bb7e_0.conda”h+Œ b086d84eef7ea40a8949b807705b3728”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-presenter-0.1.2-r41hc72bb7e_0.conda”h0Œ@6778cdc2c6286407135fce6a90d7231790fe9ec125a485167d61661466342c2d”h2NhNh3(Œr-badger”Œr-base >=4.1,<4.2.0a0”Œr-berryfunctions”Œr-dplyr”Œr-flextable”Œr-formattable”Œr-framecleaner”Œ	r-janitor”Œr-lubridate”Œ
r-magrittr”Œ	r-officer”Œ
r-openxlsx”Œr-purrr”Œr-randomcolor”Œr-rlang”Œr-rvg”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ÷£&E¢hEJj¿	 hFˆubh)”}”(hŒr-presenter”h#Œ0.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-presenter-0.1.2-r42hc72bb7e_0.conda”h+Œ 8984c82d7a131db4accf994ab20b26d1”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-presenter-0.1.2-r42hc72bb7e_0.conda”h0Œ@963347a58ad4b4aaffc696247b191b8a7eeddb1583a501e60092095b2d7bebb3”h2NhNh3(Œr-badger”Œr-base >=4.2,<4.3.0a0”Œr-berryfunctions”Œr-dplyr”Œr-flextable”Œr-formattable”Œr-framecleaner”Œ	r-janitor”Œr-lubridate”Œ
r-magrittr”Œ	r-officer”Œ
r-openxlsx”Œr-purrr”Œr-randomcolor”Œr-rlang”Œr-rvg”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ÷’½¡ËhEJ`À	 hFˆubh)”}”(hŒr-prettycode”h#Œ1.1.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ&r-prettycode-1.1.0-r42hc72bb7e_3.conda”h+Œ 2210715425475f72a5754741db3ab094”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prettycode-1.1.0-r42hc72bb7e_3.conda”h0Œ@a279a7ed3f2c7e2a95b028bc51adfb34ff3be5e3c3fc371a42b28158bb08df33”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-withr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#¢uhEJ¨Ö hFˆubh)”}”(hŒr-prettycode”h#Œ1.1.0”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ&r-prettycode-1.1.0-r43hc72bb7e_3.conda”h+Œ 51c148503528d14a0ac484c95222e5dd”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prettycode-1.1.0-r43hc72bb7e_3.conda”h0Œ@fe098aacd39d48b77f81bfd50cb3b3f1a384cd9169b942f09cd284e48a48292b”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-crayon”Œr-withr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#š¾hEJ»Ö hFˆubh)”}”(hŒr-prettymapr”h#Œ0.2.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-prettymapr-0.2.4-r42hc72bb7e_2.conda”h+Œ b5e387f75044f6975a23bb5c52eb0bf5”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prettymapr-0.2.4-r42hc72bb7e_2.conda”h0Œ@48364391c4127b3633706fe6b3a205788a1f79ceb71443a6d36615b73ccfea04”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-httr”Œr-plyr”Œr-rjson”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#Wß;hEJ]‚ hFˆubh)”}”(hŒr-prettymapr”h#Œ0.2.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-prettymapr-0.2.4-r43hc72bb7e_2.conda”h+Œ 50b787ca7906f502127737aab7fb10ae”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prettymapr-0.2.4-r43hc72bb7e_2.conda”h0Œ@bbae2e3144ac4c8616b08005b84e672855b4b4b68b78d89645ac8304e7731f64”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest”Œr-httr”Œr-plyr”Œr-rjson”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ#–ÝhEJø hFˆubh)”}”(hŒr-prettyunits”h#Œ1.1.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ'r-prettyunits-1.1.1-r42hc72bb7e_3.conda”h+Œ 592a6362252261d9560a78058e369b54”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-prettyunits-1.1.1-r42hc72bb7e_3.conda”h0Œ@5d6d25246143ac49b3a810753decf212719fb76a17ba33807c809a84a3b7e80d”h2NhNh3Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"}Ò|IºhEMV§hFˆubh)”}”(hŒr-prettyunits”h#Œ1.1.1”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ'r-prettyunits-1.1.1-r43hc72bb7e_3.conda”•      h+Œ c513425696fd4cd49601ef1ebe822271”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-prettyunits-1.1.1-r43hc72bb7e_3.conda”h0Œ@99bbf929f623e0080e4a5d416353fbfc4c1f91c11f370e5f1faa1c0097d522b6”h2NhNh3Œr-assertthat”Œr-base >=4.3,<4.4.0a0”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"}Ìyë…hEMÝ¤hFˆube(h)”}”(hŒr-prim”h#Œ1.0.21”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-prim-1.0.21-r41hc72bb7e_0.conda”h+Œ 4e5f43e7062f3c05025298c36908571e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-prim-1.0.21-r41hc72bb7e_0.conda”h0Œ@d652bfe0ed642fdc2498a01a41c399edd0c0191091588045176257ed8cd92497”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plot3d”Œr-scales”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØîK vvÉhEJ¡™ hFˆubh)”}”(hŒr-prim”h#Œ1.0.21”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-prim-1.0.21-r42hc72bb7e_0.conda”h+Œ a6a211cea1669f8158861dd3adbe40c0”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-prim-1.0.21-r42hc72bb7e_0.conda”h0Œ@d9746293deb83bfa4ffdd8ff9efe5157909bf8a8ed6364895917054a275a13f5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-plot3d”Œr-scales”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØîK"bŸ¾hEJø hFˆubh)”}”(hŒr-printr”h#Œ0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-printr-0.3-r41hc72bb7e_0.conda”h+Œ e273fefb0831b1ddf058b5b095d7da26”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-printr-0.3-r41hc72bb7e_0.conda”h0Œ@ab1ea5e4740c11534997fa796be51bf161e4b10b9dcf874f68ffed284ec8d08b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-knitr >=1.16”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙHWãThEM¼¶hFˆubh)”}”(hŒr-printr”h#Œ0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-printr-0.3-r42hc72bb7e_0.conda”h+Œ dfb546d16cb7ac2bc8a9bf9f592cf476”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-printr-0.3-r42hc72bb7e_0.conda”h0Œ@a7b90c5064100f1a1fedbcc07bed82260d7c7081d99c14860aac4e694a1f1898”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-knitr >=1.16”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙHD§ðhEMc¸hFˆubh)”}”(hŒr-prismatic”h#Œ1.1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-prismatic-1.1.1-r42hc72bb7e_2.conda”h+Œ 049439c982308a6e230abc0dcbeccee4”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-prismatic-1.1.1-r42hc72bb7e_2.conda”h0Œ@5ed76badcd0845e667de1520a7cfb61b58418b69825facb86dc1be253dd64478”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-farver >=2.0.1”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñÂˆ1'hEJšE hFˆubh)”}”(hŒr-prismatic”h#Œ1.1.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-prismatic-1.1.1-r43hc72bb7e_2.conda”h+Œ 854e69822a5faa73a22798379fe5b217”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-prismatic-1.1.1-r43hc72bb7e_2.conda”h0Œ@fec747d385f4bb6ec650fc7bd91785517de273af63bf43ee2d66eb5ae79a666c”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-farver >=2.0.1”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ñ´(“uhEJ•B hFˆubh)”}”(hŒ
r-probably”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-probably-1.0.0-r41hc72bb7e_0.conda”h+Œ 217bfeffd7ed4a742ddb13f657323c1e”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-probably-1.0.0-r41hc72bb7e_0.conda”h0Œ@c2938b4b0e2c64844e6d4d37815c00992336f6198f71eddb4c596883238d78b2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-butcher”Œr-cli”Œr-dplyr >=1.1.0”Œr-furrr”Œr-generics >=0.1.3”Œ	r-ggplot2”Œ	r-hardhat”Œr-pillar”Œr-purrr”Œr-rlang >=1.0.4”Œr-tidyr >=1.3.0”Œr-tidyselect >=1.1.2”Œr-tune >=1.1.0”Œr-vctrs >=0.4.1”Œr-withr”Œr-workflows”Œr-yardstick >1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ…DNE¢hEJô˜ hFˆubh)”}”(hŒ
r-probably”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-probably-1.0.0-r42hc72bb7e_0.conda”h+Œ d43928d39f4dca7140b0fe7ea21a1507”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-probably-1.0.0-r42hc72bb7e_0.conda”h0Œ@1f79b8d383010f590933243965a1631e4465e30f92db654933b1165b360cbd71”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-butcher”Œr-cli”Œr-dplyr >=1.1.0”Œr-furrr”Œr-generics >=0.1.3”Œ	r-ggplot2”Œ	r-hardhat”Œr-pillar”Œr-purrr”Œr-rlang >=1.0.4”Œr-tidyr >=1.3.0”Œr-tidyselect >=1.1.2”Œr-tune >=1.1.0”Œr-vctrs >=0.4.1”Œr-withr”Œr-workflows”Œr-yardstick >1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ…6«t¼hEJÓ˜ hFˆubh)”}”(hŒr-profilemodel”h#Œ0.6.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-profilemodel-0.6.1-r42hc72bb7e_2.conda”h+Œ da36453cdb289af88783ba52d0944ae8”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-profilemodel-0.6.1-r42hc72bb7e_2.conda”h0Œ@dc78156d47ea62e452a6f61a3b587c35e5846c933bef88dea1c37a3797397118”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ýôZhEJŒÍ hFˆubh)”}”(hŒr-profilemodel”h#Œ0.6.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-profilemodel-0.6.1-r43hc72bb7e_2.conda”h+Œ 04b316c35515ac5e79fd16170113a094”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-profilemodel-0.6.1-r43hc72bb7e_2.conda”h0Œ@b69718cdc048ea9260d742e1c559a7a501c26cd09ab0d99cbc8688cb8c01b546”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ýÞ‚JhEJÚÌ hFˆubh)”}”(hŒr-proftools”h#Œ0.99_3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-proftools-0.99_3-r42hc72bb7e_2.conda”h+Œ d341fb9e8a138db42a0b0b805614e443”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-proftools-0.99_3-r42hc72bb7e_2.conda”h0Œ@c4a67e41ca2a5b442d32519fb6f159b9b7cc8cd6a0f1818da59e196ba6a92ad1”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ýÙ
=hEJ9× hFˆubh)”}”(hŒr-proftools”h#Œ0.99_3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-proftools-0.99_3-r43hc72bb7e_2.conda”h+Œ 412b307362b0aef2ce55f401558ee2c1”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-proftools-0.99_3-r43hc72bb7e_2.conda”h0Œ@69ece945864c5394127f4050fcd8cab57d0876fafa5d8590b7af903ecf86192f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ýÚzáhEJ`Ø hFˆubh)”}”(hŒ
r-progress”h#Œ1.2.2”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ$r-progress-1.2.2-r42hc72bb7e_4.conda”h+Œ f45744e9fb71e5dabefeb384da5ba2a2”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-progress-1.2.2-r42hc72bb7e_4.conda”h0Œ@074d750d6b308bef7abb2a4d24b6bbb7984b6e34920a93dc7a3d953497b553dc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-hms”Œr-prettyunits”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Š;` ÅhEJi hFˆubh)”}”(hŒ
r-progress”h#Œ1.2.2”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ$r-progress-1.2.2-r43hc72bb7e_4.conda”h+Œ ec7e7c07f8b672416844c3638a4df8b1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-progress-1.2.2-r43hc72bb7e_4.conda”h0Œ@53c72eea6207dc3c002f1602af26a92def0b6c601742af606c983df4ec52d513”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crayon”Œr-hms”Œr-prettyunits”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Š:àbNhEJ¤h hFˆubh)”}”(hŒr-progressr”h#Œ0.13.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-progressr-0.13.0-r41hc72bb7e_0.conda”h+Œ 9e57331b574e0e0e448fff70d06faa23”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progressr-0.13.0-r41hc72bb7e_0.conda”h0Œ@bc8dfdb2fbc7a6b2662b1b9054aa2a44581fcd9cf170843fb62fb60031fa8830”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØïe:^$ÝhEJY hFˆubh)”}”(hŒr-progressr”h#Œ0.13.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-progressr-0.13.0-r42hc72bb7e_0.conda”h+Œ 1fec5fb06aeaae72a462c51250f5eb67”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progressr-0.13.0-r42hc72bb7e_0.conda”h0Œ@7122cfe9675bf103cfd1b4fe973dc81f0f3483796f731e3ec995af044cd28c11”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØïe5¯ß;hEJîU hFˆubh)”}”(hŒr-progressr”h#Œ0.13.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-progressr-0.13.0-r42hc72bb7e_1.conda”h+Œ c085578b073b1043862708cb31059016”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progressr-0.13.0-r42hc72bb7e_1.conda”h0Œ@16c29260509029bfcfb5a31eca967402adc16e136fe02774cc2784586a50b8e9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"wd„í‘hEJ[Y hFˆubh)”}”(hŒr-progressr”h#Œ0.13.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-progressr-0.13.0-r43hc72bb7e_1.conda”h+Œ 073234761930d5b7d8b50d2212a0dfc2”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progressr-0.13.0-r43hc72bb7e_1.conda”h0Œ@305d7d6a1b4c7b679d02276ee6f237fb85bcd76aad15240fabcaa826c064bc48”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"wdK•hEJ|S hFˆubh)”}”(hŒr-proto”h#Œ1.0.0”h%Œr42ha770c72_2005”h'MÕhhh(h)hŒ$r-proto-1.0.0-r42ha770c72_2005.conda”h+Œ 3ad3844892eeab53592daf21bc4dbdc0”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-proto-1.0.0-r42ha770c72_2005.conda”h0Œ@4e5c38065f51e614ce39bc10c76d7516c4c4f755858c5d3fda14eafb7ef56678”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Ó! QìhEJ^J hFˆubh)”}”(hŒr-proto”h#Œ1.0.0”h%Œr43ha770c72_2005”h'MÕhhh(h)hŒ$r-proto-1.0.0-r43ha770c72_2005.conda”h+Œ 659a188dedf798629e20886fc45a9741”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-proto-1.0.0-r43ha770c72_2005.conda”h0Œ@1bc476012826a55dbfc63dfd70fbe171ede0d7dde2b96b5fa64f0c549046f617”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Ó6ö$ÝhEJ¡J hFˆubh)”}”(hŒr-protr”h#Œ1.6_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-protr-1.6_3-r41hc72bb7e_0.conda”h+Œ c2a4b3d8b4169a54d6138341030da979”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-protr-1.6_3-r41hc72bb7e_0.conda”h0Œ@ce85141a52eccaca8a9ef494ec954b6a0292dd37e840edc74d9d01d2dbc3fb21”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAÙµIÊÁhEJ<ô hFˆubh)”}”(hŒr-protr”h#Œ1.6_3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-protr-1.6_3-r42hc72bb7e_0.conda”h+Œ 17e2ebfb4224f5afc295e51e909b81f9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-protr-1.6_3-r42hc72bb7e_0.conda”h0Œ@c14b0b0199927bbf50bebc2e29bf85e99c322421296cb6a6fb8538d61cbd9722”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAÙÇ°QìhEJý hFˆubh)”}”(hŒr-prroc”h#Œ1.3.1”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ$r-prroc-1.3.1-r42hc72bb7e_1005.conda”h+Œ ddc080e17d2de9544b90b4f4ad435d17”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-prroc-1.3.1-r42hc72bb7e_1005.conda”h0Œ@0ce9415159ec935f9b4f61bf16fa21317e667939e33e86039f528e69929d9de5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¬“+hEJ0 hFˆubh)”}”(hŒr-prroc”h#Œ1.3.1”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ$r-prroc-1.3.1-r43hc72bb7e_1005.conda”h+Œ 462ea4494ac44ef96c8c743ed32bf273”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-prroc-1.3.1-r43hc72bb7e_1005.conda”h0Œ@53b7bd460b74e7be2ae9e51688a31e09abc4d6888fb9624d9b6e641142abff20”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¬†ÓSøhEJð hFˆubh)”}”(hŒr-prt”h#Œ0.2.0”h%Œr41h785f33e_0”h'K hhh(h)hŒr-prt-0.2.0-r41h785f33e_0.conda”h+Œ 387d8594945b3145278d9ebffe7e911a”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-prt-0.2.0-r41h785f33e_0.conda”h0Œ@b0db8479769bdaa72fea72b496334ffeea21e9d77004185bc8b780541d62292d”h2NhNh3(Œr-assertthat”Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-crayon”Œr-curl”Œr-data.table”Œr-fansi”Œr-fst”Œr-pillar”Œr-rlang”Œr-tibble”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¿ô—¾whEJç hFˆubh)”}”(hŒr-prt”h#Œ0.2.0”h%Œr42h785f33e_0”h'K hhh(h)hŒr-prt-0.2.0-r42h785f33e_0.conda”h+Œ f17b85f280132d1a96f6914e6cfcf92f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-prt-0.2.0-r42h785f33e_0.conda”h0Œ@6f9be9493bdf967717ea7888ad1d42d64f25a46d776fd7a2205b8454171163c8”h2NhNh3(Œr-assertthat”Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-crayon”Œr-curl”Œr-data.table”Œr-fansi”Œr-fst”Œr-pillar”Œr-rlang”Œr-tibble”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¿ó¬“hEJ¾ç hFˆubh)”}”(hŒr-psych”h#Œ2.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-psych-2.3.3-r41hc72bb7e_0.conda”h+Œ 2416b075df3ee0c19f5e628928caf322”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-psych-2.3.3-r41hc72bb7e_0.conda”h0Œ@46a3b529f002bc96ef17c2851103fa7d5593f7a64f0d54e7e6430b7774052503”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-mnormt”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙOt‘hhEJ…È9 hFˆubh)”}”(hŒr-psych”h#Œ2.3.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-psych-2.3.3-r42hc72bb7e_0.conda”h+Œ 71448d25557f247f93deb5248fb5374d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-psych-2.3.3-r42hc72bb7e_0.conda”h0Œ@d7e8d4cc87a8e3e8dbe645dbda838b7f4dd681e523617216e7ab6b03d60d41bf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-mnormt”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙOg)©ühEJ¬Í9 hFˆubh)”}”(hŒr-psych”h#Œ2.3.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-psych-2.3.3-r42hc72bb7e_1.conda”h+Œ 3ff5dfe5ce55e5d107246977b8d0d011”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-psych-2.3.3-r42hc72bb7e_1.conda”h0Œ@810fb5ff2f55174a0d88dc41e287c11654e38671b9c1d314b61e6016c8e389ee”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-mnormt”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ÙtIºhEJÕÏ9 hFˆubh)”}”(hŒr-psych”h#Œ2.3.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-psych-2.3.3-r43hc72bb7e_1.conda”h+Œ 74050225e7eb3a8e24377e88741f726f”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-psych-2.3.3-r43hc72bb7e_1.conda”h0Œ@0efb84d858f2c8db6fc8ff359684c7c4edca2ac5b80ccc7e54a1fb58ee303029”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-lattice”Œr-mnormt”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ÁF‡+hEJ7§9 hFˆubh)”}”(hŒr-psychtools”h#Œ2.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-psychtools-2.3.3-r41hc72bb7e_0.conda”h+Œ 8962654ab901876f8329300e27ebb1e2”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-psychtools-2.3.3-r41hc72bb7e_0.conda”h0Œ@e37e6b742e403f3fb347398a94d21e9d5ec0cbcc386656c2f3f9062f51bd63e5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-foreign”Œr-psych”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙOXÀ´9hEJ]2 hFˆubh)”}”(hŒr-psychtools”h#Œ2.3.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-psychtools-2.3.3-r42hc72bb7e_0.conda”h+Œ a65d2444df1a35260b6561d678cb9b1c”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-psychtools-2.3.3-r42hc72bb7e_0.conda”h0Œ@bca15df997047bacae65d46e4d71b145295626f3bfe3fa554943db8b87721f99”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-foreign”Œr-psych”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙOf|IºhEJµ2 hFˆubh)”}”(hŒr-psychtools”h#Œ2.3.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-psychtools-2.3.3-r42hc72bb7e_1.conda”h+Œ 42be8b17de6a8b4b60c13c3352415552”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-psychtools-2.3.3-r42hc72bb7e_1.conda”h0Œ@03074288e60034725f2129d0b3bb38595b5daeef43ce570043670e574638379f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-foreign”Œr-psych”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"æÛ•hEJ[2 hFˆubh)”}”(hŒr-psychtools”h#Œ2.3.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-psychtools-2.3.3-r43hc72bb7e_1.conda”h+Œ e41495b4a339182a5a215a8ab62c338e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-psychtools-2.3.3-r43hc72bb7e_1.conda”h0Œ@d9158548ec7365c77c16a85527c875036f0751fca44af46c1a8af3d8dc00b615”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-foreign”Œr-psych”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"æ"ŸÎÙhEJy2 hFˆubh)”}”(hŒr-ptxqc”h#Œ1.0.16”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ptxqc-1.0.16-r41hc72bb7e_0.conda”h+Œ 995e381a71262ab4185ce9a45f6cb16d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ptxqc-1.0.16-r41hc72bb7e_0.conda”h0Œ@89b2b708fbca7d49019888d95c86823931b9e939fcfc3c2e3ae4b352d04060b3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ
r-ggdendro”Œr-ggplot2 >=2.2”Œr-gridextra”Œr-gtable”Œr-htmltable”Œr-knitr >=1.10”Œ
r-magrittr”Œr-plyr”Œr-r6”Œr-r6p”Œr-rcolorbrewer”Œ
r-reshape2”Œr-rmarkdown”Œr-rmzqc >=0.4.2”Œr-seqinr”Œr-upsetr”Œr-xml2”Œr-yaml”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙUWl‹hEJÁ * hFˆubh)”}”(hŒr-ptxqc”h#Œ1.0.16”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ptxqc-1.0.16-r42hc72bb7e_0.conda”h+Œ 9daffa8a3cbf25609535a393e0aa4e65”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ptxqc-1.0.16-r42hc72bb7e_0.conda”h0Œ@b82438c561e05a22ec10fc0008f0bed0594bacc3b9523ecb33381d3cd4f28b12”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œ
r-ggdendro”Œr-ggplot2 >=2.2”Œr-gridextra”Œr-gtable”Œr-htmltable”Œr-knitr >=1.10”Œ
r-magrittr”Œr-plyr”Œr-r6”Œr-r6p”Œr-rcolorbrewer”Œ
r-reshape2”Œr-rmarkdown”Œr-rmzqc >=0.4.2”Œr-seqinr”Œr-upsetr”Œr-xml2”Œr-yaml”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙUg\)hEJ`$* hFˆubh)”}”(hŒ	r-publish”h#Œ
2023.01.17”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-publish-2023.01.17-r41hc72bb7e_0.conda”h+Œ 1cd4bb380a08be53b7ca559419328139”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-publish-2023.01.17-r41hc72bb7e_0.conda”h0Œ@a24904561cb0a562bc13d8035779ec89ab003009b71e21f01e6bf0119e66e408”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.10.4”Œr-lava >=1.5.1”Œr-multcomp >=1.4”Œr-prodlim >=1.5.4”Œr-survival >=2.38”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØöu»çmhEJÈ hFˆubh)”}”(hŒ	r-publish”h#Œ
2023.01.17”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-publish-2023.01.17-r42hc72bb7e_0.conda”h+Œ 5e364efaf32cc4a318732ccd4a0293e2”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-publish-2023.01.17-r42hc72bb7e_0.conda”h0Œ@5f650abf4aeede0b04e8851fe019ebae0bf45c3cc7b232b6af0f07f0118a04b4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.10.4”Œr-lava >=1.5.1”Œr-multcomp >=1.4”Œr-prodlim >=1.5.4”Œr-survival >=2.38”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØöuÛ¬ýôhEJm hFˆubh)”}”(hŒ	r-publish”h#Œ
2023.01.17”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-publish-2023.01.17-r42hc72bb7e_1.conda”h+Œ c19239e46c3ba7c68fc58d19f6089b45”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-publish-2023.01.17-r42hc72bb7e_1.conda”h0Œ@895ae0e623338d8a396cb1932852e9c07d4354be7b6c4e9c19355fc6989e9686”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.10.4”Œr-lava >=1.5.1”Œr-multcomp >=1.4”Œr-prodlim >=1.5.4”Œr-survival >=2.38”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"æôzáhEJŒ hFˆubh)”}”(hŒ	r-publish”h#Œ
2023.01.17”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-publish-2023.01.17-r43hc72bb7e_1.conda”h+Œ e84a3f7049ab6343372d7548b04ebfdb”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-publish-2023.01.17-r43hc72bb7e_1.conda”h0Œ@1246de03ead003441024f65b3f4e2a604c547d60e9bdbbdd74593f1c6fb29a6f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-data.table >=1.10.4”Œr-lava >=1.5.1”Œr-multcomp >=1.4”Œr-prodlim >=1.5.4”Œr-survival >=2.38”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"æ?+hEJ| hFˆubh)”}”(hŒr-pulsar”h#Œ0.3.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-pulsar-0.3.10-r41hc72bb7e_0.conda”h+Œ 5fafe3b1b27c578a18349f94c71a1682”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pulsar-0.3.10-r41hc72bb7e_0.conda”h0Œ@2cf980d4d664181b1c616f578c97ace54f8b3d6ffbffb2e90fe8640d2e16004e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØô§JK…hEJ’ hFˆubh)”}”(hŒr-pulsar”h#Œ0.3.10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-pulsar-0.3.10-r42hc72bb7e_0.conda”h+Œ 062fddd70955ae499d0f246ec07382b7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-pulsar-0.3.10-r42hc72bb7e_0.conda”h0Œ@4dc9dbea33502766ec7663a2d772c461b36812138d68cca37e54cd934bd0f6e2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØô§:@bNhEJŽ hFˆubh)”}”(hŒr-pushoverr”h#Œ1.1.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ%r-pushoverr-1.1.0-r41h785f33e_0.conda”h+Œ ae70576d012cc2479e3a9bf5b5ffbd4c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pushoverr-1.1.0-r41h785f33e_0.conda”h0Œ@e877408b31f5ea608ef7b367d3e29b9f1bf66180d7f460528a0779c28f54cb68”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-cli”Œr-glue”Œr-httr”Œr-rlang”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØàÚuæÙhEJ£ hFˆubh)”}”(hŒr-pushoverr”h#Œ1.1.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ%r-pushoverr-1.1.0-r42h785f33e_0.conda”h+Œ 032cfff26138e33dfadeae13554118f6”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pushoverr-1.1.0-r42h785f33e_0.conda”h0Œ@2d76a20a855c870e275553e21aae57acc013c49171fcc77c38be63a73b81b714”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-cli”Œr-glue”Œr-httr”Œr-rlang”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØàÚi[t¼hEJ®¥ hFˆubh)”}”(hŒr-pwr”h#Œ1.3_0”h%Œr42hc72bb7e_4”h'Khhh(h)hŒr-pwr-1.3_0-r42hc72bb7e_4.conda”h+Œ 23d692c671c4792ac4a385f9d2d777ac”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pwr-1.3_0-r42hc72bb7e_4.conda”h0Œ@85d252f6201092b8a35238996e5b5975591736cf902bb7ca88ca1472bc5f94b7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"Ù—óohEJ+ hFˆubh)”}”(hŒr-pwr”h#Œ1.3_0”h%Œr43hc72bb7e_4”h'Khhh(h)hŒr-pwr-1.3_0-r43hc72bb7e_4.conda”h+Œ c5669fa734eb9bbca2ccea35b638f1d8”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pwr-1.3_0-r43hc72bb7e_4.conda”h0Œ@658734e8458fe3dfb52ff698629e684f748b6d42850aca24c000076a7f9a87c2”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"Ù MÒòhEJÃ hFˆubh)”}”(hŒr-qdap”h#Œ2.4.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-qdap-2.4.6-r41hc72bb7e_0.conda”h+Œ 1f2885ddb58fd0342e91486d58ed30af”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-qdap-2.4.6-r41hc72bb7e_0.conda”h0Œ@94b31b3362f8e62dfd09659a8832908b571f98a553cf20f9c702badd2e93fbef”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-chron”Œr-dplyr >=0.3”Œr-gender >=0.5.1”Œr-ggplot2 >=2.1.0”Œr-gridextra”Œr-igraph”Œr-nlp”Œr-opennlp >=0.2_1”Œ
r-openxlsx”Œ	r-plotrix”Œr-qdapdictionaries >=1.0.2”Œr-qdapregex >=0.1.2”Œr-qdaptools >=1.3.1”Œr-rcolorbrewer”Œr-rcurl”Œ
r-reshape2”Œr-scales”Œr-stringdist”Œr-tidyr”Œr-tm >=0.7.6”Œr-venneuler”Œr-wordcloud”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ&Mp“uhEJ°@6 hFˆubh)”}”(hŒr-qdap”h#Œ2.4.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-qdap-2.4.6-r42hc72bb7e_0.conda”h+Œ eb1ebba34fb59e8f4aa52cd9d20c4961”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-qdap-2.4.6-r42hc72bb7e_0.conda”h0Œ@e53f7363a2bbdb2c1623cd77498472170f0af25cb9bd37f1afaf103348cca72e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-chron”Œr-dplyr >=0.3”Œr-gender >=0.5.1”Œr-ggplot2 >=2.1.0”Œr-gridextra”Œr-igraph”Œr-nlp”Œr-opennlp >=0.2_1”Œ
r-openxlsx”Œ	r-plotrix”Œr-qdapdictionaries >=1.0.2”Œr-qdapregex >=0.1.2”Œr-qdaptools >=1.3.1”Œr-rcolorbrewer”Œr-rcurl”Œ
r-reshape2”Œr-scales”Œr-stringdist”Œr-tidyr”Œr-tm >=0.7.6”Œr-venneuler”Œr-wordcloud”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ&ROßhEJ´I6 hFˆubh)”}”(hŒr-qdapregex”h#Œ0.7.5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-qdapregex-0.7.5-r42hc72bb7e_2.conda”h+Œ c527b43b41c73683d83c83d01ee162fe”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-qdapregex-0.7.5-r42hc72bb7e_2.conda”h0Œ@bbef715da918a3fc091dc1ebd094db33c572efd3ae4d7b4ba6e65cf77f73f54d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-stringi >=0.5_5”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"æ<9XhEJhù hFˆubh)”}”(hŒr-qdapregex”h#Œ0.7.5”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-qdapregex-0.7.5-r43hc72bb7e_2.conda”h+Œ 2856de4ccaed2803f7955d580c7cb173”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-qdapregex-0.7.5-r43hc72bb7e_2.conda”h0Œ@4888e4235d13c3337163667d503552f7e25278df3eb75b7ae54b96f739ea4a53”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-stringi >=0.5_5”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"æ+33hEJwâ hFˆubh)”}”(hŒr-qdaptools”h#Œ1.3.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-qdaptools-1.3.7-r41hc72bb7e_0.conda”h+Œ c6ae42c21ee83acdcb3347b22fe73059”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-qdaptools-1.3.7-r41hc72bb7e_0.conda”h0Œ@6820f01591259e7bc19277a5c465130366b15653624791f022d4c2d98c70d145”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-chron”Œr-data.table >=1.9.6”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÙv	ë…hEJÄ6 hFˆubh)”}”(hŒr-qdaptools”h#Œ1.3.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-qdaptools-1.3.7-r42hc72bb7e_0.conda”h+Œ c2219ff484c21220743a9d1ed12f7c00”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-qdaptools-1.3.7-r42hc72bb7e_0.conda”h0Œ@ed10e3dd633858e892c347c6fe9f348475a1a5156b28e87b8925c4d2033e4e5e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-chron”Œr-data.table >=1.9.6”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÙp¬¬hEJý6 hFˆubh)”}”(hŒ	r-qqplotr”h#Œ0.0.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-qqplotr-0.0.6-r41hc72bb7e_0.conda”h+Œ 35dde085f017707eb3dbb5208a8e431a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-qqplotr-0.0.6-r41hc72bb7e_0.conda”h0Œ@a5effa219a5b20deee1e495bbc0bec3ca71359355f1b88e450d88ed20234135a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-ggplot2 >=2.2”Œr-mass”Œr-opdisdownsampling”Œr-qqconf >=1.3.1”Œr-robustbase”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØô ×'+hEJÏc hFˆubh)”}”(hŒ	r-qqplotr”h#Œ0.0.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-qqplotr-0.0.6-r42hc72bb7e_0.conda”h+Œ f41c582f03ce2b71ab79631f26cd8e08”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-qqplotr-0.0.6-r42hc72bb7e_0.conda”h0Œ@fcd59f89e911f9c57a32b2cacc5b3310c98162d3e74d7067fd7a07b78f9b88f4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-ggplot2 >=2.2”Œr-mass”Œr-opdisdownsampling”Œr-qqconf >=1.3.1”Œr-robustbase”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØô ÎÎ{hEJSe hFˆubh)”}”(hŒr-qrcode”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-qrcode-0.2.1-r41hc72bb7e_0.conda”h+Œ d431ecaf40b6103f35c733f444edf6af”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-qrcode-0.2.1-r41hc72bb7e_0.conda”h0Œ@732987ea6511d6ae99ff655c2560b4c43e9c3e33ee870baa108f8e91111af3de”h2NhNh3Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-knitr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØçÐT‹×
hEJ_ hFˆubh)”}”(hŒr-qrcode”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-qrcode-0.2.1-r42hc72bb7e_0.conda”h+Œ 35e5ef19e3a611e8d6b3914daacf22ee”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-qrcode-0.2.1-r42hc72bb7e_0.conda”h0Œ@7c0b746a39243fb1a84cedd2df4c68d6212f49ae217565253cca536cbda5c77a”h2NhNh3Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-knitr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØçÐO+÷ÏhEJç hFˆubh)”}”(hŒ
r-quantmod”h#Œ0.4.23”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-quantmod-0.4.23-r42hc72bb7e_0.conda”h+Œ 2de9303c1ab0fe2fe49ac2e37f387fc2”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-quantmod-0.4.23-r42hc72bb7e_0.conda”h0Œ@6758861a2f41e1d74c012082f34624767e27ba1c5297ed1cf619a97521696744”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-jsonlite >=1.1”Œr-ttr >=0.2”Œr-xts >=0.9_0”Œr-zoo”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¢H¬“hEJmÙ hFˆubh)”}”(hŒ
r-quantmod”h#Œ0.4.23”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-quantmod-0.4.23-r42hc72bb7e_1.conda”h+Œ e03bc1c84cee1d3d0717c38f5146cdb9”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-quantmod-0.4.23-r42hc72bb7e_1.conda”h0Œ@058211b13cb99a35c950089d9cae5aa26fbdc74652226cc0749eb480f5c4d69e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-jsonlite >=1.1”Œr-ttr >=0.2”Œr-xts >=0.9_0”Œr-zoo”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"´¸t¼hEJÿÔ hFˆubh)”}”(hŒ
r-quantmod”h#Œ0.4.23”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-quantmod-0.4.23-r43hc72bb7e_1.conda”h+Œ 5fa717595f27b69a5af1e648eb4529f1”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-quantmod-0.4.23-r43hc72bb7e_1.conda”h0Œ@54ae95b14efee8e4d815c4fe345af681e80fb21a1a556d1eee19258622f93349”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-curl”Œr-jsonlite >=1.1”Œr-ttr >=0.2”Œr-xts >=0.9_0”Œr-zoo”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"´­Ï hEJãõ hFˆubh)”}”(hŒr-quarto”h#Œ1.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ r-quarto-1.2-r41hc72bb7e_2.conda”h+Œ 44de3f1d1688b351a15d257a72b8bc06”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-quarto-1.2-r41hc72bb7e_2.conda”h0Œ@af4d9164c7c27c4c87402bbc11887c647e3d63643b34f7a6dc611f7c3c5e3289”h2NhNh3(Œquarto”Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-later”Œ
r-processx”Œr-rmarkdown”Œr-rsconnect >=0.8.26”Œr-rstudioapi”Œr-yaml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙÈËí?}hEJÕÝ hFˆubh)”}”(hŒr-quarto”h#Œ1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-quarto-1.2-r42hc72bb7e_2.conda”h+Œ d49c99f0076795eba811a2023f4c1579”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-quarto-1.2-r42hc72bb7e_2.conda”h0Œ@112ba6abefeb1517fbe574e1b959788d38efdcfcd03db0fbd8acdd106148c74f”h2NhNh3(Œquarto”Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-later”Œ
r-processx”Œr-rmarkdown”Œr-rsconnect >=0.8.26”Œr-rstudioapi”Œr-yaml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙÈËË…hEJí× hFˆubh)”}”(hŒr-questionr”h#Œ0.7.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-questionr-0.7.8-r41hc72bb7e_0.conda”h+Œ e9dd92d64df6903e3e2705babb49bc7b”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-questionr-0.7.8-r41hc72bb7e_0.conda”h0Œ@b0ba440d9caff50c44404ca8af70d571582dd2f2fa77257aeaea84caac382310”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-classint”Œr-haven >=2.3.0”Œr-highr”Œr-htmltools”Œr-labelled >=2.4.0”Œr-miniui”Œr-rstudioapi”Œr-shiny >=1.0.5”Œr-styler”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØö[.VhEJM%; hFˆubh)”}”(hŒr-questionr”h#Œ0.7.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-questionr-0.7.8-r42hc72bb7e_0.conda”h+Œ d3422c367f7d11434f3e931eb01bda57”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-questionr-0.7.8-r42hc72bb7e_0.conda”h0Œ@d24b6735e35b953e0f26c42517004ef8082fb2997484f673440b0f4285b95136”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-classint”Œr-haven >=2.3.0”Œr-highr”Œr-htmltools”Œr-labelled >=2.4.0”Œr-miniui”Œr-rstudioapi”Œr-shiny >=1.0.5”Œr-styler”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØö[’tÌÍhEJ]); hFˆubh)”}”(hŒr-qvcalc”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-qvcalc-1.0.3-r41hc72bb7e_0.conda”h+Œ a3253ba6cfda0da6772cf20034789368”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-qvcalc-1.0.3-r41hc72bb7e_0.conda”h0Œ@f27c62f01ac9c6ba7bb0100b8968b11c62fe24a09e71e1f8ac21e0250a324ab2”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙKP±‡hEMœîhFˆubh)”}”(hŒr-qvcalc”h#Œ1.0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-qvcalc-1.0.3-r42hc72bb7e_0.conda”h+Œ 4169b70f27a441b1f4e7cbcfde881388”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-qvcalc-1.0.3-r42hc72bb7e_0.conda”h0Œ@423459ce3fc203b133ed39e1724a3df742ad086a4e6f3d95409a6c111be2ea75”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙKZØƒhEMŸìhFˆubh)”}”(hŒr-qvcalc”h#Œ1.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-qvcalc-1.0.3-r42hc72bb7e_1.conda”h+Œ 9afd65aa92e2f69fca00e570da04780d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-qvcalc-1.0.3-r42hc72bb7e_1.conda”h0Œ@2f410bd6a7b0f2e9187c92411c5e025602a8ef60386ba757786f48d7eeacad3f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Á(¤ýôhEMEîhFˆubh)”}”(hŒr-qvcalc”h#Œ1.0.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-qvcalc-1.0.3-r43hc72bb7e_1.conda”h+Œ 8c58fb4c27710f3f3a0849bc8ea58b8a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-qvcalc-1.0.3-r43hc72bb7e_1.conda”h0Œ@0e1c6d1a7724063471e7b30d7523c90025e05705988c69ef86a7a9f251995cee”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Á'×¾whEM-íhFˆubh)”}”(hŒ	r-r.cache”h#Œ0.16.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-r.cache-0.16.0-r42hc72bb7e_2.conda”h+Œ 34daac4e8faee056f15abdee858fc721”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r.cache-0.16.0-r42hc72bb7e_2.conda”h0Œ@8f7177db27355600b297ed681f0a083fcfe958cd402b0072fac967acedc40adb”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest >=0.6.13”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.23.0”Œr-r.utils >=2.8.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"}œ¤›¦hEJÇé hFˆubh)”}”(hŒ	r-r.cache”h#Œ0.16.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-r.cache-0.16.0-r43hc72bb7e_2.conda”h+Œ fa01685a9c07191e186357c001b19ece”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r.cache-0.16.0-r43hc72bb7e_2.conda”h0Œ@806dfd30d94deeac782c8ce24b6023a38dba136c657b51c5fe617a8687c6ef88”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest >=0.6.13”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.23.0”Œr-r.utils >=2.8.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"}›k÷ÏhEJTä hFˆubh)”}”(hŒ
r-r.matlab”h#Œ3.7.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-r.matlab-3.7.0-r42hc72bb7e_2.conda”h+Œ ef2d0b46f6fd30c5b32ec41e38226be9”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r.matlab-3.7.0-r42hc72bb7e_2.conda”h0Œ@a2e4f642664c18650f0671035dda8790abbde7a7306c9a0566849fc621bc0fff”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.21.0”Œr-r.utils >=2.5.0”t”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAÙ"Ù‘^vÉhEJxd hFˆubh)”}”(hŒ
r-r.matlab”h#Œ3.7.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-r.matlab-3.7.0-r43hc72bb7e_2.conda”h+Œ 493975d911e78e237a881327ef003655”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r.matlab-3.7.0-r43hc72bb7e_2.conda”h0Œ@c5ff0e7862fd193293704bda8623cfef41faf23a9cc322ed8900ad87e09efe9d”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.21.0”Œr-r.utils >=2.5.0”t”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAÙ"Ù‡¸QìhEJ'^ hFˆubh)”}”(hŒr-r.methodss3”h#Œ1.8.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-r.methodss3-1.8.2-r42hc72bb7e_2.conda”h+Œ 305fe9f97f7598d9722c76d6be7bf794”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-r.methodss3-1.8.2-r42hc72bb7e_2.conda”h0Œ@365fe3d5221c61e76d7a1a98e6b0935a4d9ab31559efd897dcf1031834f72c44”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"Z˜NÈ´hEJß{ hFˆubh)”}”(hŒr-r.methodss3”h#Œ1.8.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-r.methodss3-1.8.2-r43hc72bb7e_2.conda”h+Œ e6976d24b97b9cdcb9a74ac55495f404”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-r.methodss3-1.8.2-r43hc72bb7e_2.conda”h0Œ@6a4b070a323a8215bdfcc45498799fd6b84f92ffb9e3bceafbb0d622f5e9d384”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"ZŸ-?}hEJ|z hFˆubh)”}”(hŒr-r.oo”h#Œ1.25.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-r.oo-1.25.0-r42hc72bb7e_2.conda”h+Œ adcb1a75ce965be191e12cbda2727aab”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-r.oo-1.25.0-r42hc72bb7e_2.conda”h0Œ@156d4560e779814fad623f3f0a0fcf33f3d08f971ad6a491c57314dc1d4a3717”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r.methodss3 >=1.7.1”†”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"eMf§ðhEJøÓ hFˆubh)”}”(hŒr-r.oo”h#Œ1.25.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-r.oo-1.25.0-r43hc72bb7e_2.conda”h+Œ 3827111ce9afa61d49e7401036d763e8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-r.oo-1.25.0-r43hc72bb7e_2.conda”h0Œ@85d26a552fd020c2236b1b99eba6390b4bb6de47a1a41bb32b61cc1f3287dca2”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-r.methodss3 >=1.7.1”†”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"eUvffhEJ¼Æ hFˆubh)”}”(hŒ	r-r.utils”h#Œ2.12.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-r.utils-2.12.2-r42hc72bb7e_1.conda”h+Œ 1da718dc5c6eb7643d011224f1f20dd2”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r.utils-2.12.2-r42hc72bb7e_1.conda”h0Œ@d7c1b93444d658332932759bf3946d0d61c47344ee38fcd7cf8064998ff78360”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r.methodss3 >=1.8.0”Œr-r.oo >=1.23.0”‡”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"rŠE¢hEJ¢N hFˆubh)”}”(hŒ	r-r.utils”h#Œ2.12.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-r.utils-2.12.2-r43hc72bb7e_1.conda”h+Œ 3f40c313d0a2e7330b997380c56cacf0”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r.utils-2.12.2-r43hc72bb7e_1.conda”h0Œ@ebccb4814c28959ee826a4585ee24d7b1b28bd3be2c14d4acd5d27159059c2f9”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-r.methodss3 >=1.8.0”Œr-r.oo >=1.23.0”‡”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"rŒ^5hEJ5? hFˆubh)”}”(hŒr-r2d3”h#Œ0.2.6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-r2d3-0.2.6-r42hc72bb7e_2.conda”h+Œ a213f490014595b6740a099d829333cc”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-r2d3-0.2.6-r42hc72bb7e_2.conda”h0Œ@de0618e228092eccbd206710011510e5043a1f72e55e2df062d47e892515b75a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œr-htmlwidgets >=1.2”Œ
r-jsonlite”Œr-rstudioapi”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"ñ“óC–hEJõí hFˆubh)”}”(hŒr-r2d3”h#Œ0.2.6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-r2d3-0.2.6-r43hc72bb7e_2.conda”h+Œ e6435c54e82cdc8cb3397310f87bb703”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-r2d3-0.2.6-r43hc72bb7e_2.conda”h0Œ@825f86c3c81838f4cd764386a641a7f377822bb08a03ac7230f04408e248ba4d”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-htmltools”Œr-htmlwidgets >=1.2”Œ
r-jsonlite”Œr-rstudioapi”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"ñÂhEJ˜ë hFˆubh)”}”(hŒr-r2html”h#Œ2.3.3”h%Œr42ha770c72_2”h'Khhh(h)hŒ"r-r2html-2.3.3-r42ha770c72_2.conda”h+Œ e74a00812d40fdc77f744cfa57a2b6c4”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-r2html-2.3.3-r42ha770c72_2.conda”h0Œ@428d82a22ab79fe1b7b6c788a55c6261a7690ee5b0a2957ebaa3b2c9efb79aa6”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"åñ
°!hEJÛ!	 hFˆubh)”}”(hŒr-r2html”h#Œ2.3.3”h%Œr43ha770c72_2”h'Khhh(h)hŒ"r-r2html-2.3.3-r43ha770c72_2.conda”h+Œ 82e485a157a9b49c7ce1ff41d1a914a5”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-r2html-2.3.3-r43ha770c72_2.conda”h0Œ@bd042379c66b401ac46a114f77fb355c496bfc09788c05ddfff93b295a77b64e”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"åñ2MÓhEJõ	 hFˆubh)”}”(hŒr-r2rtf”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-r2rtf-1.0.3-r41hc72bb7e_0.conda”h+Œ 8edc4abb4dd1d41304079fc65328c2da”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-r2rtf-1.0.3-r41hc72bb7e_0.conda”h0Œ@5f9c22e253ec0984d3d0e8badc02d49a686a515e0ae5935753ef524e60d5140e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙD€£×hEJì hFˆubh)”}”(hŒr-r2rtf”h#Œ1.0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-r2rtf-1.0.3-r42hc72bb7e_0.conda”h+Œ d624988faf758f4aedae3f49d576b081”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-r2rtf-1.0.3-r42hc72bb7e_0.conda”h0Œ@20602b8bcaf1fa615ab7a62557b5de056ed2423b58e5e66f85bcb7ff6a4f633f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙRPƒhEJ5 hFˆubh)”}”(hŒr-r6”h#Œ2.5.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-r6-2.5.1-r42hc72bb7e_2.conda”h+Œ 1473a12b55128f8ac776ae5595a4d0cb”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-r6-2.5.1-r42hc72bb7e_2.conda”h0Œ@beb6ab49fa3bf0934eb66e35778f60ef9477de5674097763785eb58c4fa1b768”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ùÃdZhEJˆa hFˆubh)”}”(hŒr-r6”h#Œ2.5.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-r6-2.5.1-r43hc72bb7e_2.conda”h+Œ 79f167972554dc6b65aa099cd85c22a1”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-r6-2.5.1-r43hc72bb7e_2.conda”h0Œ@79a88c5993a2697d572542649a876b23ac77a199ec5b54cfa7315ece183faf65”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ù2ÀƒhEJ;a hFˆubh)”}”(hŒr-radiant.data”h#Œ1.5.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-radiant.data-1.5.6-r41hc72bb7e_0.conda”h+Œ 49d347d72fa3d341d1094ae87594ca34”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-radiant.data-1.5.6-r41hc72bb7e_0.conda”h0Œ@23c12db86607a5c1592c0e185aa47faf78eeb081cdc717cd97cafee446cef517”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-broom >=0.5.2”Œr-bslib >=0.3.1”Œr-car >=3.0_0”Œr-curl >=2.5”Œr-dplyr >=1.0.7”Œ
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716b194bfb3f698baa90d76b63a6ecf6”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-raveio-0.1.0-r42hc72bb7e_0.conda”h0Œ@fd9db44680c3141ba316c5c644afaa90a460ebbb0afa76dfa9f08aab4e13b982”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr >=3.7.0”Œr-data.table”Œ	r-dipsaus”Œr-edfreader >=1.2.1”Œr-filearray >=0.1.3”Œr-fst >=0.9.2”Œ	r-globals”Œr-glue”Œr-hdf5r >=1.3.4”Œr-jsonlite >=1.7.0”Œr-promises >=1.2.0”Œr-r.matlab >=3.6.2”Œr-r6”Œr-remotes >=2.1.2”Œr-stringr >=1.4.0”Œr-targets >=0.8.0”Œr-threebrain >=0.2.5”Œr-yaml >=2.2.1”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ”›¦hEJ:š hFˆubh)”}”(hŒr-rcartocolor”h#Œ2.1.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ'r-rcartocolor-2.1.1-r41h785f33e_0.conda”h+Œ b569de76469e327b0e2e3c406c0cba96”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rcartocolor-2.1.1-r41h785f33e_0.conda”h0Œ@2e619ecab5d198d274e47b037bf9997182fb0e18441774d740d2894ccff25a89”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-scales”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙà}¥¡ËhEJg hFˆubh)”}”(hŒr-rcartocolor”h#Œ2.1.1”h%Œr42h785f33e_0”h'K hhh(h)hŒ'r-rcartocolor-2.1.1-r42h785f33e_0.conda”h+Œ 88f067a6a79c83dbc79713d81fd63416”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rcartocolor-2.1.1-r42h785f33e_0.conda”h0Œ@5b82b8180f674543e2895e4725bb8c9d67c581120c247cb1d86164eb35aa2912”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-scales”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙàØ ÅhEJJ€ hFˆubh)”}”(hŒr-rcdk”h#Œ3.8.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-rcdk-3.8.0-r42hc72bb7e_0.conda”h+Œ a81f7a128394936944b6bf539a072808”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rcdk-3.8.0-r42hc72bb7e_0.conda”h0Œ@57248991adf5d2997756d7539bb93090df5ee1f5637cfe7ed896ba737ff273ca”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fingerprint”Œr-iterators”Œr-itertools”Œr-png”Œr-rcdklibs >=2.8”Œr-rjava”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAÙ!Ä'ãhEJëõ hFˆubh)”}”(hŒr-rcmdcheck”h#Œ1.4.0”h%Œr42h785f33e_2”h'Khhh(h)hŒ%r-rcmdcheck-1.4.0-r42h785f33e_2.conda”h+Œ fae4c087b4ba7bb806ac16475f057156”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rcmdcheck-1.4.0-r42h785f33e_2.conda”h0Œ@28238183d9b634a1801fbdaa8735945ced69c9b80aa75b8e30e63ebbe6ffb436”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr >=3.1.1.9000”Œr-cli >=3.0.0”Œr-curl”Œr-desc >=1.2.0”Œr-digest”Œ
r-pkgbuild”Œr-prettyunits”Œr-r6”Œr-rprojroot”Œr-sessioninfo >=1.1.1”Œr-withr”Œr-xopen”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ì¡eÂhEJX² hFˆubh)”}”(hŒr-rcmdcheck”h#Œ1.4.0”h%Œr43h785f33e_2”h'Khhh(h)hŒ%r-rcmdcheck-1.4.0-r43h785f33e_2.conda”h+Œ 68fbec231f3c697d97878082d9057dc5”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rcmdcheck-1.4.0-r43h785f33e_2.conda”h0Œ@b56cadcdf3248597f9e9356664b22761cb90936a1aac5abe497a75ef41c74d13”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-callr >=3.1.1.9000”Œr-cli >=3.0.0”Œr-curl”Œr-desc >=1.2.0”Œr-digest”Œ
r-pkgbuild”Œr-prettyunits”Œr-r6”Œr-rprojroot”Œr-sessioninfo >=1.1.1”Œr-withr”Œr-xopen”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ì®ÑG®hEJO² hFˆubh)”}”(hŒr-rcolorbrewer”h#Œ1.1_3”h%Œr42h785f33e_2”h'Khhh(h)hŒ(r-rcolorbrewer-1.1_3-r42h785f33e_2.conda”h+Œ b7b475c73493f70cbbb9d7213b94aed1”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rcolorbrewer-1.1_3-r42h785f33e_2.conda”h0Œ@284d772a985acabbe9b339fcd0418fea9461097fd85a4f9db790e7d851878aa1”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"rÙ‡hEJv
 hFˆubh)”}”(hŒr-rcolorbrewer”h#Œ1.1_3”h%Œr43h785f33e_2”h'Khhh(h)hŒ(r-rcolorbrewer-1.1_3-r43h785f33e_2.conda”h+Œ d998f26d6a55b83dab1c25b583e1463a”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rcolorbrewer-1.1_3-r43h785f33e_2.conda”h0Œ@a6af4f8d47ac08ca13b85cb891797e93126df1f441a068704df6138966790bcd”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"r–åó¶hEJµ
 hFˆubh)”}”(hŒr-rcompanion”h#Œ2.4.30”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-rcompanion-2.4.30-r41hc72bb7e_0.conda”h+Œ 80614dd55abbbe7ac2c1ffe233496d16”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rcompanion-2.4.30-r41hc72bb7e_0.conda”h0Œ@d5d8dd4c33f7b4c905d259fde4101c2a81a133b5a7b94cbe808a8d9db4d1c643”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot >=1.3_28”Œr-coin >=1.4_2”Œr-desctools >=0.99.43”Œr-lmtest >=0.9_38”Œr-multcompview >=0.1_8”Œr-nortest >=1.0_4”Œr-plyr >=1.8.6”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ8gÃdZhEJ„ò	 hFˆubh)”}”(hŒr-rcompanion”h#Œ2.4.30”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-rcompanion-2.4.30-r42hc72bb7e_0.conda”h+Œ 493aace91998b164218d0cd9780938b5”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rcompanion-2.4.30-r42hc72bb7e_0.conda”h0Œ@d7e02a0bf7ec6169ae16504b7099e7e9c1093f7290883b6d4e19b97ce0dfc984”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot >=1.3_28”Œr-coin >=1.4_2”Œr-desctools >=0.99.43”Œr-lmtest >=0.9_38”Œr-multcompview >=0.1_8”Œr-nortest >=1.0_4”Œr-plyr >=1.8.6”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ8o*^5hEJï	 hFˆubh)”}”(hŒ
r-rcppdate”h#Œ0.0.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-rcppdate-0.0.3-r42hc72bb7e_2.conda”h+Œ 83bb156f092ed43a4e659d783b0d1ef1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rcppdate-0.0.3-r42hc72bb7e_2.conda”h0Œ@940c5358bbcbe78dbad10a7dc90177f59f8fdd42fd74530d8758967c606a7ceb”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ýËV{hEJÐ hFˆubh)”}”(hŒ
r-rcppdate”h#Œ0.0.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-rcppdate-0.0.3-r43hc72bb7e_2.conda”h+Œ 71075546eaa9d4552ff61f06ab9d7f2d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rcppdate-0.0.3-r43hc72bb7e_2.conda”h0Œ@cfd139f93ed08e766a7da4edcbbde1dedc60a8612f3a7353baf842b92f292e2e”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ýÖÕhEJ– hFˆubh)”}”(hŒr-rcppprogress”h#Œ0.4.2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ(r-rcppprogress-0.4.2-r42hc72bb7e_3.conda”h+Œ 738786b745260775bf3f6306a03a8ecd”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rcppprogress-0.4.2-r42hc72bb7e_3.conda”h0Œ@5c06bf0071db769ebc7ca99fcfc07637af879ff143c71ceb68a085bbfcea5690”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"„øûçhEM¶›hFˆubh)”}”(hŒr-rcppprogress”h#Œ0.4.2”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ(r-rcppprogress-0.4.2-r43hc72bb7e_3.conda”h+Œ acf1702dd25ecd5e604ac3a5b39e1789”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rcppprogress-0.4.2-r43hc72bb7e_3.conda”h0Œ@529a7a24376ac1b1283ce70e77d72dbceeabc085717c8f2cc23999cb6446e576”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"…4IºhEM,›hFˆubh)”}”(hŒr-rda”h#Œ1.2_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-rda-1.2_1-r41hc72bb7e_0.conda”h+Œ 3922d38150341b26be855abadfd05e63”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-rda-1.2_1-r41hc72bb7e_0.conda”h0Œ@9321d36473a079bd488313e14a5d7faab88d20dcc8bf2146c6500aafff88867e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ÷xÓhEJQ™ hFˆubh)”}”(hŒr-rda”h#Œ1.2_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-rda-1.2_1-r42hc72bb7e_0.conda”h+Œ 0ea95d28f4561131304fe51636436f87”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-rda-1.2_1-r42hc72bb7e_0.conda”h0Œ@15aeebf6d10f6a67d3d5157c856b2fcda0a7d105f70dd2e42de2bf3b518e6abd”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ÷ŒÀQìhEJž– hFˆubh)”}”(hŒr-rdpack”h#Œ2.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-rdpack-2.4-r42hc72bb7e_2.conda”h+Œ af8cae93798261cb7f581e8d9e96b8da”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rdpack-2.4-r42hc72bb7e_2.conda”h0Œ@05378938aa3604bb235373f955b735d48887c5580b34cd1f21a19ed84d2070a6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-gbrd”Œr-rbibutils >=1.3”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ª¸hEJÈ˜ hFˆubh)”}”(hŒr-rdpack”h#Œ2.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-rdpack-2.4-r43hc72bb7e_2.conda”h+Œ bba3f563b7408eff40ed6b11369bf857”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rdpack-2.4-r43hc72bb7e_2.conda”h0Œ@57eab1ab4aa9545e90e6ca7bb800d1662050dcf519445adc40302098880dcd16”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-gbrd”Œr-rbibutils >=1.3”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¬DÌÍhEJëš hFˆubh)”}”(hŒr-reactable”h#Œ0.4.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-reactable-0.4.4-r41hc72bb7e_0.conda”h+Œ 34f5342dfa4d81418dd94c1ab54cfc73”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reactable-0.4.4-r41hc72bb7e_0.conda”h0Œ@0e3c09e99034f94228885739559939f75c912f51ad3fca8440bf2394a48d94d3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-reactr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ“´aG®hEJ¤ù hFˆubh)”}”(hŒr-reactable”h#Œ0.4.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-reactable-0.4.4-r42hc72bb7e_0.conda”h+Œ dd9a2b6736d056a964a362f0e2018a73”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reactable-0.4.4-r42hc72bb7e_0.conda”h0Œ@422f3b705f90b722fbb0ee0b9f86b7bdf0566d2eab593f088bd03d81d1121f8b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-reactr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ“½3SøhEJýù hFˆubh)”}”(hŒr-reactable”h#Œ0.4.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-reactable-0.4.4-r42hc72bb7e_1.conda”h+Œ f03b2230ead6c6603a4875f582501728”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reactable-0.4.4-r42hc72bb7e_1.conda”h0Œ@4a3bf6cfe5cafda96202d07bca0dac51781d928fa5e873c6559d90682a082920”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-htmltools”Œr-htmlwidgets”Œ
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r-readtext”h#Œ0.90”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-readtext-0.90-r41hc72bb7e_0.conda”h+Œ dceb0e713b5a5fd8b68728da69a35131”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-readtext-0.90-r41hc72bb7e_0.conda”h0Œ@3ce522e4df49ebca1ffb3cdff63db860c2dbc0258baea2bb4610a1f22d901995”h2NhNh3(Œ
r-antiword”Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-digest”Œr-httr”Œr-jsonlite >=0.9.10”Œ
r-pdftools”Œr-readods >=1.7.0”Œr-readxl”Œ	r-streamr”Œ	r-stringi”Œ
r-striprtf”Œr-tibble”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙçê©‰7hEJ
& hFˆubh)”}”(hŒ
r-readtext”h#Œ0.90”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-readtext-0.90-r42hc72bb7e_0.conda”h+Œ eae88a94c982f0d01ef43a8135da2d20”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-readtext-0.90-r42hc72bb7e_0.conda”h0Œ@3309f38b774a11d74c454e77f7948d21cc0f9848c7e3faadf98b645f3d2acec2”h2NhNh3(Œ
r-antiword”Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-digest”Œr-httr”Œr-jsonlite >=0.9.10”Œ
r-pdftools”Œr-readods >=1.7.0”Œr-readxl”Œ	r-streamr”Œ	r-stringi”Œ
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r-jsonlite”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ý «SøhEJ_;	 hFˆubh)”}”(hŒr-rebird”h#Œ1.3.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-rebird-1.3.0-r43hc72bb7e_2.conda”h+Œ cde26d667db832e98f4329a0f16cea36”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rebird-1.3.0-r43hc72bb7e_2.conda”h0Œ@e654b0a73507f4019a4b17c59f2d2399520d7f76c30c623f3983a76b1c2bd263”h2NhNh3(Œr-assertthat”Œr-base >=4.3,<4.4.0a0”Œr-dplyr”Œr-httr >=1.0.0”Œ
r-jsonlite”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ý ¬9XhEJY:	 hFˆubh)”}”(hŒr-rebus.base”h#Œ0.0_3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ)r-rebus.base-0.0_3-r42hc72bb7e_1004.conda”h+Œ ea0e8c6adeac19c2b26cade7140bddec”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.base-0.0_3-r42hc72bb7e_1004.conda”h0Œ@37454530b22987d5fe8deacac51cf013d723dc2282cf603cc9793c342e34002f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ	Unlimited”hDGAÙ"û‹©©ühEJ[e hFˆubh)”}”(hŒr-rebus.base”h#Œ0.0_3”h%Œr43hc72bb7e_1004”h'Mìhhh(h)hŒ)r-rebus.base-0.0_3-r43hc72bb7e_1004.conda”h+Œ 36e3f17c32bdf49667fd18a0e28f7f7f”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.base-0.0_3-r43hc72bb7e_1004.conda”h0Œ@2866e45bc4fff0d2b7f33bd500abb5f55fba86c3b2d4613d24f89195a3d13038”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ	Unlimited”hDGAÙ"ûŽ³çmhEJŽb hFˆubh)”}”(hŒr-rebus.datetimes”h#Œ0.0_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-rebus.datetimes-0.0_2-r41hc72bb7e_0.conda”h+Œ 11803620d4fd7fb460be99ec2bf30d0b”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.datetimes-0.0_2-r41hc72bb7e_0.conda”h0Œ@18a721aefbc850bc98ed09cc54cc4d3e990d67d8b95620a99b1747e67c603137”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rebus.base”†”h9hºh@Œ	Unlimited”hDGAØÝö•p¤hEMîªhFˆubh)”}”(hŒr-rebus.datetimes”h#Œ0.0_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ+r-rebus.datetimes-0.0_2-r42hc72bb7e_0.conda”h+Œ 01cc796764d75953e72e493b917c04be”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.datetimes-0.0_2-r42hc72bb7e_0.conda”h0Œ@2ce5255f3cd3f1ffd7d365f0384d23dff21a33e01ffd8c805d3950bf5c687bc1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rebus.base”†”h9hºh@Œ	Unlimited”hDGAØÝõûYÊÁhEMI«hFˆubh)”}”(hŒ	r-recipes”h#Œ1.0.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-recipes-1.0.6-r41hc72bb7e_0.conda”h+Œ aaa48afa6bf09a5324a67d215c308718”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-recipes-1.0.6-r41hc72bb7e_0.conda”h0Œ@5e90f95ad1fe66bdee31ebaa6223f1be7df10859307136f2d5820163f7c4ed64”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-clock >=0.6.1”Œr-dplyr”Œ
r-ellipsis”Œr-generics >=0.1.2”Œr-glue”Œr-gower”Œr-hardhat >=1.2.0”Œr-ipred >=0.9_12”Œr-lifecycle >=1.0.3”Œr-lubridate >=1.8.0”Œ
r-magrittr”Œr-matrix”Œr-purrr >=0.2.3”Œr-rlang >=1.0.3”Œr-tibble”Œr-tidyr >=1.0.0”Œr-tidyselect >=1.2.0”Œ
r-timedate”Œr-vctrs >=0.5.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÔlÂ=qhEJlZ hFˆubh)”}”(hŒ	r-recipes”h#Œ1.0.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-recipes-1.0.6-r42hc72bb7e_0.conda”h+Œ 18edfdb39eefe374e58a3629c26aee7a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-recipes-1.0.6-r42hc72bb7e_0.conda”h0Œ@e9f8257b5477026543ae8f0522526339e0de55338be74f961e1084e6934afc44”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-clock >=0.6.1”Œr-dplyr”Œ
r-ellipsis”Œr-generics >=0.1.2”Œr-glue”Œr-gower”Œr-hardhat >=1.2.0”Œr-ipred >=0.9_12”Œr-lifecycle >=1.0.3”Œr-lubridate >=1.8.0”Œ
r-magrittr”Œr-matrix”Œr-purrr >=0.2.3”Œr-rlang >=1.0.3”Œr-tibble”Œr-tidyr >=1.0.0”Œr-tidyselect >=1.2.0”Œ
r-timedate”Œr-vctrs >=0.5.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÔ\ó"ÑhEJI[ hFˆubh)”}”(hŒ	r-recipes”h#Œ1.0.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-recipes-1.0.6-r42hc72bb7e_1.conda”h+Œ e649192d1071f60e654aee18cff908d3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-recipes-1.0.6-r42hc72bb7e_1.conda”h0Œ@f00c37b4986d02f02193458a9cf8b4c728182c10f5e9cb20ec3d5d114335ae84”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-clock >=0.6.1”Œr-dplyr”Œ
r-ellipsis”Œr-generics >=0.1.2”Œr-glue”Œr-gower”Œr-hardhat >=1.2.0”Œr-ipred >=0.9_12”Œr-lifecycle >=1.0.3”Œr-lubridate >=1.8.0”Œ
r-magrittr”Œr-matrix”Œr-purrr >=0.2.3”Œr-rlang >=1.0.3”Œr-tibble”Œr-tidyr >=1.0.0”Œr-tidyselect >=1.2.0”Œ
r-timedate”Œr-vctrs >=0.5.0”•6      Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#	ÃR°!hEJÁX hFˆubh)”}”(hŒ	r-recipes”h#Œ1.0.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-recipes-1.0.6-r43hc72bb7e_1.conda”h+Œ 191de8b606391392a8c987da0636f882”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-recipes-1.0.6-r43hc72bb7e_1.conda”h0Œ@bf692866838ba343e20d1cc8b2f8d25898f115b70a13cc2ea526f07788afa618”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-clock >=0.6.1”Œr-dplyr”Œ
r-ellipsis”Œr-generics >=0.1.2”Œr-glue”Œr-gower”Œr-hardhat >=1.2.0”Œr-ipred >=0.9_12”Œr-lifecycle >=1.0.3”Œr-lubridate >=1.8.0”Œ
r-magrittr”Œr-matrix”Œr-purrr >=0.2.3”Œr-rlang >=1.0.3”Œr-tibble”Œr-tidyr >=1.0.0”Œr-tidyselect >=1.2.0”Œ
r-timedate”Œr-vctrs >=0.5.0”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#	Œw|îhEJî< hFˆubh)”}”(hŒr-recommended”h#Œ4.3”h%Œr43hd8ed1ab_1006”h'Mîhhh(h)hŒ(r-recommended-4.3-r43hd8ed1ab_1006.conda”h+Œ 5689e47e2fe533e5b2d58f3e6d37b244”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-recommended-4.3-r43hd8ed1ab_1006.conda”h0Œ@f7237f1a2d9110f78d3b6c055cb9d66e65487f6bcdf4b8007dea919304c0e5d0”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-boot”Œr-class”Œ	r-cluster”Œr-codetools”Œ	r-foreign”Œr-kernsmooth”Œ	r-lattice”Œr-mass”Œr-matrix”Œr-mgcv”Œr-nlme”Œr-nnet”Œr-rpart”Œ	r-spatial”Œ
r-survival”t”h9hºh@ŒGPL-3.0-or-later”hDGAÙ"ÖÂ7KÇhEMtFhFˆubh)”}”(hŒ	r-redcapr”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-redcapr-1.1.0-r41hc72bb7e_0.conda”h+Œ 176a93a9267dc14c27481589f1fddb6e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-redcapr-1.1.0-r41hc72bb7e_0.conda”h0Œ@f8aef9aba86bdc75cf8be3c57439e5f6ba27a6ef197e3d9d656abd91f8ac034b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate >=2.0”Œr-dplyr >=1.0”Œr-httr >=1.4.0”Œ
r-jsonlite”Œr-magrittr >=1.5”Œr-readr >=2.0”Œr-rlang >=0.4”Œr-tibble >=2.0”Œr-tidyr >=1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØå,£:MÓhEJ¦‹ hFˆubh)”}”(hŒ	r-redcapr”h#Œ1.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-redcapr-1.1.0-r42hc72bb7e_0.conda”h+Œ 4ba87380ea53805f42a094e9c0980dd3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-redcapr-1.1.0-r42hc72bb7e_0.conda”h0Œ@3ed7802b660a218cf3e73ea31369f7f7289eeeb1ddc5278d486715f8799ddebb”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate >=2.0”Œr-dplyr >=1.0”Œr-httr >=1.4.0”Œ
r-jsonlite”Œr-magrittr >=1.5”Œr-readr >=2.0”Œr-rlang >=0.4”Œr-tibble >=2.0”Œr-tidyr >=1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØå,¨¥?}hEJù~ hFˆubh)”}”(hŒr-redcaptidier”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-redcaptidier-0.4.0-r41hc72bb7e_0.conda”h+Œ b12d5c225146ce4faac06828a752d781”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-redcaptidier-0.4.0-r41hc72bb7e_0.conda”h0Œ@45e07b501ce50f6a5eacd3311877c4d4146e79ff3735e2bbd4e543455a703339”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-cli”Œr-dplyr”Œr-formattable”Œr-lobstr”Œr-lubridate”Œr-purrr”Œr-redcapr >=1.1.0”Œr-rlang”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÔ«~È´hEJò! hFˆubh)”}”(hŒr-redcaptidier”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-redcaptidier-0.4.0-r42hc72bb7e_0.conda”h+Œ 414a60cec5ede79a4e525151c9a1c5ea”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-redcaptidier-0.4.0-r42hc72bb7e_0.conda”h0Œ@584e3366b47585a3b48542f7127017bfc6eda89d5e357b86bdb812db497dd088”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-cli”Œr-dplyr”Œr-formattable”Œr-lobstr”Œr-lubridate”Œr-purrr”Œr-redcapr >=1.1.0”Œr-rlang”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÔ´IºhEJø" hFˆubh)”}”(hŒr-refund”h#Œ0.1_30”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-refund-0.1_30-r41hc72bb7e_0.conda”h+Œ fdd05a83f700cb787385130e7206d188”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-refund-0.1_30-r41hc72bb7e_0.conda”h0Œ@60507e9d821a87b4c95cfd5e15d283f19a6ab6ecfe9df2fae0f4d7b0e3b4f042”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-fda”Œr-gamm4”Œ	r-ggplot2”Œr-grpreg”Œ	r-lattice”Œr-lme4”Œr-magic”Œr-mass”Œr-matrix”Œr-mgcv >=1.8_23”Œr-nlme”Œr-pbs”Œr-rlrsim”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ(‹«t¼hEJ!& hFˆubh)”}”(hŒr-refund”h#Œ0.1_30”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-refund-0.1_30-r42hc72bb7e_0.conda”h+Œ fffbfc4ee608a7c023bc65cdefaf8a29”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-refund-0.1_30-r42hc72bb7e_0.conda”h0Œ@22f3f98a265fe57dfda96c4d5e7c0cc0b3eaa5be91c0ac6ac3a44d29b46151df”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-fda”Œr-gamm4”Œ	r-ggplot2”Œr-grpreg”Œ	r-lattice”Œr-lme4”Œr-magic”Œr-mass”Œr-matrix”Œr-mgcv >=1.8_23”Œr-nlme”Œr-pbs”Œr-rlrsim”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ(33hEJ“"& hFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ$r-registry-0.5_1-r42hc72bb7e_4.conda”h+Œ 579aa35ca4f23805a271252c5ceddcdf”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r42hc72bb7e_4.conda”h0Œ@1288abbe5571b4bb0415bf97bf6c756bf07709442d752bb7e89e05021af8c824”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"‹ “uhEJŒ* hFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ$r-registry-0.5_1-r43hc72bb7e_4.conda”h+Œ c078558b29eba1e2f9b755249786be1b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r43hc72bb7e_4.conda”h0Œ@a8527a0923a9196c6d07ad927fd97a7b247afec16c3a0163cc186ce023f94770”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"‹02ÀƒhEJÍ* hFˆubh)”}”(hŒr-relations”h#Œ0.6_13”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-relations-0.6_13-r41hc72bb7e_0.conda”h+Œ 48cb66d8911d453af6fae19c2eab321b”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-relations-0.6_13-r41hc72bb7e_0.conda”h0Œ@49c1320b6029c8a2495aedb35cf627db6a3c0d1265ddd3660022494442f15e55”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-sets >=1.0_16”Œr-slam”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙÚÈ…hEJ² hFˆubh)”}”(hŒr-relations”h#Œ0.6_13”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-relations-0.6_13-r42hc72bb7e_0.conda”h+Œ b648200b69c8f3931c4beb10b75b81d2”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-relations-0.6_13-r42hc72bb7e_0.conda”h0Œ@ab44fbf26e7576427d6fd16d2822173af63e93b752722c0d7951c53fd965c42a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œr-sets >=1.0_16”Œr-slam”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙÚ¹?
=hEJ¶ hFˆubh)”}”(hŒ	r-reldist”h#Œ1.7_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-reldist-1.7_2-r41hc72bb7e_0.conda”h+Œ aacf772b6c3b54f8a7265fcead535311”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-reldist-1.7_2-r41hc72bb7e_0.conda”h0Œ@69510f40783037e142e0d6ca14d828e3082bf1aa4f50dfe66a6892b2cf0624b6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-densestbayes”Œr-mgcv”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØüMÓhEJð hFˆubh)”}”(hŒ	r-reldist”h#Œ1.7_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-reldist-1.7_2-r42hc72bb7e_0.conda”h+Œ 07602d0f53645d5c087d3e7d8c5c00a6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-reldist-1.7_2-r42hc72bb7e_0.conda”h0Œ@fd5475c4155185e0b2e26490aeb2728b11248431366448ac110584269ae2cf3e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-densestbayes”Œr-mgcv”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØüçïžhEJ° hFˆubh)”}”(hŒr-relimp”h#Œ1.0_5”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ%r-relimp-1.0_5-r42hc72bb7e_1005.conda”h+Œ c34bb205f836532dcbb54fda2d625f78”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-relimp-1.0_5-r42hc72bb7e_1005.conda”h0Œ@43861bd8eb8c4a0b04a2102a5ee219de7ac809b99a28bc8b608b3e52e18a17dc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÓœÝ/hEJçp hFˆubh)”}”(hŒr-relimp”h#Œ1.0_5”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ%r-relimp-1.0_5-r43hc72bb7e_1005.conda”h+Œ 16d5636ae1fe6fac158c4bb2cdb88311”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-relimp-1.0_5-r43hc72bb7e_1005.conda”h0Œ@2ef29293c7d72c0e142906c085a4d0eaa7a300d0005b74799e85ce927a980f19”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÓÔ‹DhEJ­r hFˆubh)”}”(hŒ	r-rematch”h#Œ1.0.1”h%Œr42hc72bb7e_1006”h'Mîhhh(h)hŒ&r-rematch-1.0.1-r42hc72bb7e_1006.conda”h+Œ a214dcc61f1d5bac89067e277baf1ebf”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rematch-1.0.1-r42hc72bb7e_1006.conda”h0Œ@7999b31ec6439aaf550b5a8015d10f9ed39efda54c59861455a04da7d0072aec”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"x…²-hEM½ShFˆubh)”}”(hŒ	r-rematch”h#Œ1.0.1”h%Œr43hc72bb7e_1006”h'Mîhhh(h)hŒ&r-rematch-1.0.1-r43hc72bb7e_1006.conda”h+Œ 61c4bee3395c0f16fb22f2e639aefaa2”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rematch-1.0.1-r43hc72bb7e_1006.conda”h0Œ@4d4431eb03a48682d8c8c26540fb96f462c0a4c6d13ab625434ebaa959bbe952”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"xY%hEM»ShFˆubh)”}”(hŒ
r-rematch2”h#Œ2.1.2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ$r-rematch2-2.1.2-r42hc72bb7e_3.conda”h+Œ 5ccfee6f3b94e6b247c7e1929b24f1cc”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r42hc72bb7e_3.conda”h0Œ@f915e9cfbfb3089809566aade1c257d56616f66087020852c07bdbd9871f60d3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-tibble”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Sû—ÎÙhEM!ÔhFˆubh)”}”(hŒ
r-rematch2”h#Œ2.1.2”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ$r-rematch2-2.1.2-r43hc72bb7e_3.conda”h+Œ d1f849bc6b24f93c392f4177f65578b4”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r43hc72bb7e_3.conda”h0Œ@c8ff369bf25b00a607312024f0544a369ec9f4d1c558ab47665e89c6c04747b7”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-tibble”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"SúÈ“uhEM‡ÓhFˆubh)”}”(hŒ	r-remotes”h#Œ2.4.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-remotes-2.4.2-r42hc72bb7e_2.conda”h+Œ 982983038f1840c2ec6ee73bf974e6e0”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-remotes-2.4.2-r42hc72bb7e_2.conda”h0Œ@744b28b799a65630d10fd2a5eb8d70b67e646625eeb561166a3ae7218e65b7e8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Z""-hEJ! hFˆubh)”}”(hŒ	r-remotes”h#Œ2.4.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-remotes-2.4.2-r43hc72bb7e_2.conda”h+Œ 24dc3a25e505e6e5cf42ecb0a0216284”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-remotes-2.4.2-r43hc72bb7e_2.conda”h0Œ@59144f4403d0d4215c0cfeb76c4a9eda65567e3a55b988bf8a830cea6640aabc”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Z+nvÉhEJß hFˆubh)”}”(hŒ	r-rentrez”h#Œ1.2.3”h%Œr42h785f33e_2”h'Khhh(h)hŒ#r-rentrez-1.2.3-r42h785f33e_2.conda”h+Œ 24cf89184bdc3d3724a9104ca35ae6dd”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rentrez-1.2.3-r42h785f33e_2.conda”h0Œ@503b1098a84eca63f8f09b0449a8bf0c13c0cb1f26dc486b8815b6f1a044b1a8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr >=0.5”Œr-jsonlite >=0.9”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ù–Ü‹DhEJ'$ hFˆubh)”}”(hŒ	r-rentrez”h#Œ1.2.3”h%Œr43h785f33e_2”h'Khhh(h)hŒ#r-rentrez-1.2.3-r43h785f33e_2.conda”h+Œ 909d61127112eb74cdeff4e848661502”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rentrez-1.2.3-r43h785f33e_2.conda”h0Œ@2012fda2d988761e086ff6cbb765796d4ed896632923d7813042f96f3bb77ce9”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-httr >=0.5”Œr-jsonlite >=0.9”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ù“‹33hEJ^" hFˆubh)”}”(hŒr-renv”h#Œ0.17.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-renv-0.17.3-r41hc72bb7e_0.conda”h+Œ 59ff09f40c038fe8e1d216a3cb4c1f64”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-renv-0.17.3-r41hc72bb7e_0.conda”h0Œ@2fcdfb92ad497f064f69dbf4e0301a5aae60532b52f5e8bf9da5c140b481183b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙö2÷ÎÙhEJüT hFˆubh)”}”(hŒr-renv”h#Œ0.17.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-renv-0.17.3-r42hc72bb7e_0.conda”h+Œ 73acaac046ed5e6d448315b525d998ad”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-renv-0.17.3-r42hc72bb7e_0.conda”h0Œ@f2ba617c8195b38f8c106b5ebc25613851d9eb491ac84d7b6bb8f11f2d29f89c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙö/ÄœhEJnY hFˆubh)”}”(hŒr-renv”h#Œ0.17.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-renv-0.17.3-r42hc72bb7e_1.conda”h+Œ f6d5c2a9e09eaf118b7cd1f527ef6d9a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-renv-0.17.3-r42hc72bb7e_1.conda”h0Œ@e4ef2e76848ffe4bed7b4e788f32b1a7985f702cccdbf1a1fe660eeec8e29dbd”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ù‰§ðhEJxY hFˆubh)”}”(hŒr-renv”h#Œ0.17.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-renv-0.17.3-r43hc72bb7e_1.conda”h+Œ 42584ccbf6f67a3caa30478e139ca07d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-renv-0.17.3-r43hc72bb7e_1.conda”h0Œ@a2417020cd46cfc5265e8247981f2757dfdeccfaad18a32738a0ccfb26654fc9”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ù“®§ðhEJ«@ hFˆubh)”}”(hŒr-reportfactory”h#Œ0.4.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ)r-reportfactory-0.4.0-r41h785f33e_0.conda”h+Œ 97dac218214f888cd49f82eecc302f6f”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-reportfactory-0.4.0-r41h785f33e_0.conda”h0Œ@e53c718eee43c8ef7eef056e509ea91221cbcbfa793c211ef9fce05517c84384”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr”Œr-fs”Œr-knitr”Œr-rmarkdown”Œr-rprojroot”Œr-rstudioapi”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØàÛ“Ö§ðhEM|æhFˆubh)”}”(hŒr-reportfactory”h#Œ0.4.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ)r-reportfactory-0.4.0-r42h785f33e_0.conda”h+Œ 8e19feac2210ef3e28084047f73f626d”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-reportfactory-0.4.0-r42h785f33e_0.conda”h0Œ@1c22a5062c3b6216f6dd3bf49d5af02770929a7a308de95e790e6b7b4b1b60ab”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr”Œr-fs”Œr-knitr”Œr-rmarkdown”Œr-rprojroot”Œr-rstudioapi”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØàÛ3dZhEMØåhFˆubh)”}”(hŒr-repr”h#Œ1.1.6”h%Œr41h785f33e_0”h'K hhh(h)hŒ r-repr-1.1.6-r41h785f33e_0.conda”h+Œ bb56c4de7022343c102fbfb755d719bf”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-repr-1.1.6-r41h785f33e_0.conda”h0Œ@ce571e8d705b7494b653f8324422ed8ea9323b8a4e148810d654695a31700cee”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-htmltools”Œ
r-jsonlite”Œr-pillar >=1.4.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôÙ6Û¥ãhEJî' hFˆubh)”}”(hŒr-repr”h#Œ1.1.6”h%Œr42h785f33e_0”h'K hhh(h)hŒ r-repr-1.1.6-r42h785f33e_0.conda”h+Œ 3737bcd62843ebc9e11388d37b4028bd”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-repr-1.1.6-r42h785f33e_0.conda”h0Œ@2eb2f805873b98d5b33bceaf5712080343ef893bccebf57f12e08ee96a65cba1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-htmltools”Œ
r-jsonlite”Œr-pillar >=1.4.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôÙ/>{hEJŒ( hFˆubh)”}”(hŒr-repr”h#Œ1.1.6”h%Œr42h785f33e_1”h'Khhh(h)hŒ r-repr-1.1.6-r42h785f33e_1.conda”h+Œ d853fea05a01de04ca477bd6ad83c074”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-repr-1.1.6-r42h785f33e_1.conda”h0Œ@c310350e4891ab7d175fc106f796e8881a8c251db454838c6c4e334ad32a96e5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-htmltools”Œ
r-jsonlite”Œr-pillar >=1.4.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"eaG²hEJm) hFˆubh)”}”(hŒr-repr”h#Œ1.1.6”h%Œr43h785f33e_1”h'Khhh(h)hŒ r-repr-1.1.6-r43h785f33e_1.conda”h+Œ 6783aca202b4458c27666b4144a0816a”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-repr-1.1.6-r43h785f33e_1.conda”h0Œ@36d8c6d25a27b36a98a52718d2cb199410ad03709e5544de35b4eb65a24d47ab”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc”Œr-htmltools”Œ
r-jsonlite”Œr-pillar >=1.4.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"eh|9XhEJ<$ hFˆubh)”}”(hŒr-reprex”h#Œ2.0.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-reprex-2.0.2-r42hc72bb7e_2.conda”h+Œ 329da80369ab8cbd3df44a2572e761ad”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-reprex-2.0.2-r42hc72bb7e_2.conda”h0Œ@df73080ed62975c84892c7af8aee1ae539b30c35a1c60250080e4592b81aa320”h2NhNh3(Œpandoc >=2.0”Œr-base >=4.2,<4.3.0a0”Œr-callr >=3.6.0”Œr-cli >=3.2.0”Œr-clipr >=0.4.0”Œr-fs”Œr-glue”Œr-knitr >=1.23”Œr-lifecycle”Œr-rlang >=1.0.0”Œr-rmarkdown”Œr-rstudioapi”Œr-withr >=2.3.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÒúÓdZhEJrª hFˆubh)”}”(hŒr-reprex”h#Œ2.0.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-reprex-2.0.2-r43hc72bb7e_2.conda”h+Œ 7945302928c088007402e4dc8ff60483”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-reprex-2.0.2-r43hc72bb7e_2.conda”h0Œ@2f0f99680ec5949a14169a1249d8285eafdc0873645d42aa5299d86842fd984d”h2NhNh3(Œpandoc >=2.0”Œr-base >=4.3,<4.4.0a0”Œr-callr >=3.6.0”Œr-cli >=3.2.0”Œr-clipr >=0.4.0”Œr-fs”Œr-glue”Œr-knitr >=1.23”Œr-lifecycle”Œr-rlang >=1.0.0”Œr-rmarkdown”Œr-rstudioapi”Œr-withr >=2.3.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÓûçhEJ‚¨ hFˆubh)”}”(hŒ	r-rerddap”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rerddap-1.0.2-r41hc72bb7e_0.conda”h+Œ 8359742d42f4a86c2e9bb7ead93d36ea”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rerddap-1.0.2-r41hc72bb7e_0.conda”h0Œ@931b650167ec46aa6c55db8c424792106ac0229e957fc94e66dfeab3a57621d7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.7.4”Œr-data.table >=1.12.0”Œr-digest”Œr-dplyr >=0.5.0”Œr-hoardr >=0.5.2”Œr-jsonlite >=1.6”Œr-ncdf4 >=1.16”Œr-tibble”Œr-xml2 >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØø¬t+¶FhEJ(¼ hFˆubh)”}”(hŒ	r-rerddap”h#Œ1.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-rerddap-1.0.2-r42hc72bb7e_0.conda”h+Œ 3d3e0324fedf67ee3206b5635a9a9d69”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rerddap-1.0.2-r42hc72bb7e_0.conda”h0Œ@98dad396eee4cf88fc4ed41676731238c20e6875fbed6bd8202fc10f97e66ad0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.7.4”Œr-data.table >=1.12.0”Œr-digest”Œr-dplyr >=0.5.0”Œr-hoardr >=0.5.2”Œr-jsonlite >=1.6”Œr-ncdf4 >=1.16”Œr-tibble”Œr-xml2 >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØø¬sSøhEJë± hFˆubh)”}”(hŒr-rex”h#Œ1.2.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒr-rex-1.2.1-r42hc72bb7e_2.conda”h+Œ b45f1b94fd106c19eb79303b24dc9a7c”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-rex-1.2.1-r42hc72bb7e_2.conda”h0Œ@45ce713e0e7a8350ec773bb7a6eadeb54f1fa74498c6b039a6b5a41c66372c3c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-lazyeval”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"_·!G®hEJlá hFˆubh)”}”(hŒr-rex”h#Œ1.2.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒr-rex-1.2.1-r43hc72bb7e_2.conda”h+Œ 0a2c2b272177122311ca46834b8ca6ab”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-rex-1.2.1-r43hc72bb7e_2.conda”h0Œ@a151da26c7c4db90a01ba1fb71af31dc0fb6256eb9050d728f80c4f3d8a1c0b9”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ
r-lazyeval”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"_ÊI‡hEJDá hFˆubh)”}”(hŒr-rflptools”h#Œ2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rflptools-2.0-r41hc72bb7e_0.conda”h+Œ 645ceba43225d108daeb18ea15359be9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rflptools-2.0-r41hc72bb7e_0.conda”h0Œ@c891327a57612e04ab95fcb0cf79dc9587bb0be4593963e2ee1c691e4c38ae0f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rcolorbrewer”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ akƒ÷ÏhEJ hFˆubh)”}”(hŒr-rflptools”h#Œ2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-rflptools-2.0-r42hc72bb7e_0.conda”h+Œ c8305752473e414f9e590a2fcafd9962”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rflptools-2.0-r42hc72bb7e_0.conda”h0Œ@7628d02bdae1860b67a8fc346f22dc2c21699d2de467e357a9a90dbfd2b17227”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rcolorbrewer”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙ atŸß;hEJV hFˆubh)”}”(hŒr-rgbif”h#Œ3.7.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-rgbif-3.7.7-r41hc72bb7e_0.conda”h+Œ ac86132511f4da1e372da7d2b94bbe52”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rgbif-3.7.7-r41hc72bb7e_0.conda”h0Œ@3375707284809802964feb76bbd60318d30f38f4ca8901ac0840e7ba38045ce5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-conditionz”Œr-crul >=0.7.4”Œr-data.table”Œ	r-ggplot2”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-oai >=0.2.2”Œr-r6”Œr-tibble”Œr-wellknown >=0.7.2”Œ	r-whisker”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙzÓ*áHhEJ%_. hFˆubh)”}”(hŒr-rgbif”h#Œ3.7.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-rgbif-3.7.7-r42hc72bb7e_0.conda”h+Œ 8f2e279187584093b309eb3c44e5e1f5”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rgbif-3.7.7-r42hc72bb7e_0.conda”h0Œ@7fad9f600ddbda43e59949bde971b3a4df9de4d65be4e0ca3b8733a15b1e0254”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-conditionz”Œr-crul >=0.7.4”Œr-data.table”Œ	r-ggplot2”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-oai >=0.2.2”Œr-r6”Œr-tibble”Œr-wellknown >=0.7.2”Œ	r-whisker”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙzÕ@QìhEJ“[. hFˆubh)”}”(hŒr-rgbif”h#Œ3.7.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-rgbif-3.7.7-r42hc72bb7e_1.conda”h+Œ 326c335d975e6af92a07e56ae11d4cb9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rgbif-3.7.7-r42hc72bb7e_1.conda”h0Œ@3317e38cf437c20f612a03e3d3d247ac89316cb0f13e4f0ac9fd2231ba2ef018”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-conditionz”Œr-crul >=0.7.4”Œr-data.table”Œ	r-ggplot2”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-oai >=0.2.2”Œr-r6”Œr-tibble”Œr-wellknown >=0.7.2”Œ	r-whisker”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ý°ùxÕhEJùY. hFˆubh)”}”(hŒr-rgbif”h#Œ3.7.7”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-rgbif-3.7.7-r43hc72bb7e_1.conda”h+Œ 105b3457966714627cfeeec5a64c78f2”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rgbif-3.7.7-r43hc72bb7e_1.conda”h0Œ@8ee0d849378032714c39da88f8641b504ce35c1de3bb317faef6f7b6ecfde461”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-conditionz”Œr-crul >=0.7.4”Œr-data.table”Œ	r-ggplot2”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-oai >=0.2.2”Œr-r6”Œr-tibble”Œr-wellknown >=0.7.2”Œ	r-whisker”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ý®[Æ¨hEJ°U. hFˆubh)”}”(hŒr-rgcca”h#Œ3.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-rgcca-3.0.1-r41hc72bb7e_0.conda”h+Œ 7d377b912c4b7db962ba344243cfb5bb”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rgcca-3.0.1-r41hc72bb7e_0.conda”h0Œ@13fe02f9c89b1de3a20319b96ad5fe74025cd5ad0489eaedc8349382af4dd179”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-caret”Œr-deriv”Œr-ggplot2 >=3.4.0”Œ	r-ggrepel”Œr-gridextra”Œr-mass”Œr-matrixstats”Œ	r-pbapply”Œr-rlang”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ0‡Û÷ÏhEJÞ	 hFˆubh)”}”(hŒr-rgcca”h#Œ3.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-rgcca-3.0.1-r42hc72bb7e_0.conda”h+Œ d5da33d7219e5d20c8a3674c73a3bcd6”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rgcca-3.0.1-r42hc72bb7e_0.conda”h0Œ@5f9148c4d4f73da43d21f72be4c5e5e620fa57c83f224979220e961a817b7d7d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-caret”Œr-deriv”Œr-ggplot2 >=3.4.0”Œ	r-ggrepel”Œr-gridextra”Œr-mass”Œr-matrixstats”Œ	r-pbapply”Œr-rlang”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ0Š“"ÑhEJºà	 hFˆubh)”}”(hŒr-rgen”h#Œ0.0.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-rgen-0.0.1-r42hc72bb7e_2.conda”h+Œ 49725de3ed533b6cdcd919415ff952a8”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rgen-0.0.1-r42hc72bb7e_2.conda”h0Œ@5170cd01344f50ef4b0867a16fc7b76f1b901f2e26137946c28093cf3d553c27”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ý¤XA‰hEMmwhFˆubh)”}”(hŒr-rgen”h#Œ0.0.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-rgen-0.0.1-r43hc72bb7e_2.conda”h+Œ fedc32c2a0eca68ee0907e3b3fec56f4”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rgen-0.0.1-r43hc72bb7e_2.conda”h0Œ@8170429f2a2284f3fa55a49f8a91fccad226150f57eca657b7f07150b567e7c0”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ýž2JhEMwhFˆubh)”}”(hŒr-rgexf”h#Œ0.16.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-rgexf-0.16.2-r42hc72bb7e_2.conda”h+Œ d6e74784bd192ad4016c59439208596f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rgexf-0.16.2-r42hc72bb7e_2.conda”h0Œ@23f83dde463e057b778efd32c06d33d3d7eda652be06ba7707cfe05dd0ce6a3b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-igraph”Œr-servr”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¬,mhEJßÚ hFˆubh)”}”(hŒr-rgexf”h#Œ0.16.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-rgexf-0.16.2-r43hc72bb7e_2.conda”h+Œ c27a17b2ba8c045967b075a94113413f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rgexf-0.16.2-r43hc72bb7e_2.conda”h0Œ@9c301cc605658e3b0a20586b54bf03eb74b8e2d0a7a598616a267e9f06d93659”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-igraph”Œr-servr”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¬,EOßhEJYå hFˆubh)”}”(hŒr-rgooglemaps”h#Œ1.4.5.3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ)r-rgooglemaps-1.4.5.3-r42hc72bb7e_3.conda”h+Œ 26783112db7cb69fc4a8fef20c0bd355”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rgooglemaps-1.4.5.3-r42hc72bb7e_3.conda”h0Œ@8d4c11cfbcf6b7b00eb2111f9863c2063f2de4fef48c4cd4e37aa43722666ed7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-png”Œr-sp”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ñ8ÁhshEJ¬¿ hFˆubh)”}”(hŒr-rgooglemaps”h#Œ1.4.5.3”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ)r-rgooglemaps-1.4.5.3-r43hc72bb7e_3.conda”h+Œ f7a8e526e696256bd3b668f1275eb33b”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rgooglemaps-1.4.5.3-r43hc72bb7e_3.conda”h0Œ@bd117dc5fed1cb9910262a3bba88e618b0c9951ec1e01f7afb16e3c2f5d54423”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-png”Œr-sp”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ñ7ª^5hEJ;Á hFˆubh)”}”(hŒr-rhandsontable”h#Œ0.3.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-rhandsontable-0.3.8-r42hc72bb7e_2.conda”h+Œ 1f39cf3cb0d17a309c2281cd994af488”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rhandsontable-0.3.8-r42hc72bb7e_2.conda”h0Œ@2125c2b409d235f42e7e931c4baa1225baeb891eaacbf06d9d543919103c078f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmlwidgets >=0.3.3”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ý‘C33hEJ­0 hFˆubh)”}”(hŒr-rhandsontable”h#Œ0.3.8”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ)r-rhandsontable-0.3.8-r43hc72bb7e_2.conda”h+Œ af0be501cff78b6bab6b7c762c620490”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rhandsontable-0.3.8-r43hc72bb7e_2.conda”h0Œ@67e06d20494b7d29d5aaac427f1a39e2ede32c0fe68fa8a63a0dafdf7e9e61f8”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-htmlwidgets >=0.3.3”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ýT9XhEJþï/ hFˆubh)”}”(hŒr-rhino”h#Œ1.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-rhino-1.3.1-r41hc72bb7e_0.conda”h+Œ 7cae61719a9f3b8a20aa06e43521deaa”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rhino-1.3.1-r41hc72bb7e_0.conda”h0Œ@73965d4dee42101608ee5952aac72380a2f0fa3afed54ebc515d4767db124cd8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-box”Œr-cli”Œr-config”Œr-fs”Œr-glue”Œr-lintr >=3.0.0”Œr-logger”Œr-purrr”Œr-renv”Œr-rstudioapi”Œr-sass”Œr-shiny”Œr-styler”Œr-testthat >=3.0.0”Œr-withr”Œr-yaml”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙéf§ðhEJ[ hFˆubh)”}”(hŒr-rhino”h#Œ1.3.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-rhino-1.3.1-r42hc72bb7e_0.conda”h+Œ e0aa376c3f04c490ba4b761f7231db4e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rhino-1.3.1-r42hc72bb7e_0.conda”h0Œ@267a91e0e209b7f6cf850628a02b1d2f081fef7cb05613f447fefadce534bf59”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-box”Œr-cli”Œr-config”Œr-fs”Œr-glue”Œr-lintr >=3.0.0”Œr-logger”Œr-purrr”Œr-renv”Œr-rstudioapi”Œr-sass”Œr-shiny”Œr-styler”Œr-testthat >=3.0.0”Œr-withr”Œr-yaml”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙéR.ùÛhEJÊY hFˆubh)”}”(hŒr-ricu”h#Œ0.5.5”h%Œr41h785f33e_0”h'K hhh(h)hŒ r-ricu-0.5.5-r41h785f33e_0.conda”h+Œ 23164ccd4dc04574c93a36059d16d3ea”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ricu-0.5.5-r41h785f33e_0.conda”h0Œ@1e2a9c708d6546e8a952e55edec06f819ba3ae822a1cba8de4a0d260d2c54333”h2NhNh3(Œr-assertthat”Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-curl”Œr-data.table”Œr-fansi”Œr-fst”Œ
r-jsonlite”Œ	r-openssl”Œr-prt >=0.1.2”Œr-readr”Œr-rlang”Œr-tibble”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¸)»C–hEJ;° hFˆubh)”}”(hŒr-ricu”h#Œ0.5.5”h%Œr42h785f33e_0”h'K hhh(h)hŒ r-ricu-0.5.5-r42h785f33e_0.conda”h+Œ f94170594ad81ba9cb97b088afb2bfa5”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ricu-0.5.5-r42h785f33e_0.conda”h0Œ@fe2856cd7c7cf77e1ed7af652063195baa01b8e6549028cb31684e73b911243a”h2NhNh3(Œr-assertthat”Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-curl”Œr-data.table”Œr-fansi”Œr-fst”Œ
r-jsonlite”Œ	r-openssl”Œr-prt >=0.1.2”Œr-readr”Œr-rlang”Œr-tibble”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ¸>A‰hEJW¯ hFˆubh)”}”(hŒ
r-ridigbio”h#Œ0.3.6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-ridigbio-0.3.6-r42hc72bb7e_2.conda”h+Œ c8dab2be15603a328cbf38efadc789fb”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ridigbio-0.3.6-r42hc72bb7e_2.conda”h0Œ@09824971a7ed34ec510fb49c6dc02994f2fec715409338f8d1071b31b5c87fef”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr”Œ
r-jsonlite”Œr-plyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ýŒïl‹hEJ{) hFˆubh)”}”(hŒ
r-ridigbio”h#Œ0.3.6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-ridigbio-0.3.6-r43hc72bb7e_2.conda”h+Œ 1d8f59cde0ca8060ba3b5a74884849e5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ridigbio-0.3.6-r43hc72bb7e_2.conda”h0Œ@fa34da8df07e0a65b086898814fb54d29d3c1a43b9f8e703e994fa057ab5ecda”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-httr”Œ
r-jsonlite”Œr-plyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ýžp¤hEJ,' hFˆubh)”}”(hŒr-riskmetric”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-riskmetric-0.2.1-r41hc72bb7e_0.conda”h+Œ 25c4e464cd4e13a3b91e520bdbad6333”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-riskmetric-0.2.1-r41hc72bb7e_0.conda”h0Œ@7f6a4c3bb4e6b40220d97f531f61f05cd8ff8a1cdd50c1353f46c49c9f9b319d”h2NhNh3(Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-biocmanager”Œr-covr”Œ
r-cranlogs”Œr-curl”Œ
r-devtools”Œr-httr”Œ	r-memoise”Œr-pillar”Œ	r-pkgload”Œr-tibble”Œ
r-urltools”Œr-vctrs”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ|¸3Æ¨hEJ4 hFˆubh)”}”(hŒr-riskmetric”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-riskmetric-0.2.1-r42hc72bb7e_0.conda”h+Œ 30b55ac16fd6ecfba54f3e33dc441b73”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-riskmetric-0.2.1-r42hc72bb7e_0.conda”h0Œ@fa34876ce852b265be1e528b0ced08a5b89b3d71d6355225c5085582b755d5fc”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-biocmanager”Œr-covr”Œ
r-cranlogs”Œr-curl”Œ
r-devtools”Œr-httr”Œ	r-memoise”Œr-pillar”Œ	r-pkgload”Œr-tibble”Œ
r-urltools”Œr-vctrs”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ|²!‰7hEJþ hFˆubh)”}”(hŒr-ritis”h#Œ1.0.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-ritis-1.0.0-r42hc72bb7e_2.conda”h+Œ e56fb51677c1e90ca77b065d43bc57d4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ritis-1.0.0-r42hc72bb7e_2.conda”h0Œ@eb67a83bb6bf39aa14e9e182388e4405f030f227b35a41436fc6c635615bef8f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.4.0”Œr-data.table >=1.9.6”Œr-jsonlite >=1.5”Œr-solrium >=1.0.2”Œr-tibble >=1.3.4”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"åé!Û#hEJ)n hFˆubh)”}”(hŒr-rlist”h#Œ0.4.6.2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-rlist-0.4.6.2-r42hc72bb7e_3.conda”h+Œ 21c2d5bbaf7653d239c614836c36eb76”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rlist-0.4.6.2-r42hc72bb7e_3.conda”h0Œ@6d45297519269de1d2f587ec02588c9efa000959aa3f82b2629079e299e7b407”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œ
r-jsonlite”Œr-xml”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÇúñªhEJÿÎ hFˆubh)”}”(hŒr-rlist”h#Œ0.4.6.2”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ#r-rlist-0.4.6.2-r43hc72bb7e_3.conda”h+Œ 97e34c65129ebcb4b1e96be936ab3cf7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rlist-0.4.6.2-r43hc72bb7e_3.conda”h0Œ@6012ac4ae07f8474698cb60ffcae7fec40e9e011aea72621f5431eb419a26857”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-data.table”Œ
r-jsonlite”Œr-xml”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ç%OßhEJ,Í hFˆubh)”}”(hŒr-rmapshaper”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-rmapshaper-0.5.0-r41hc72bb7e_0.conda”h+Œ fa4d6073d76d50f17745e9e9ec191b10”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rmapshaper-0.5.0-r41hc72bb7e_0.conda”h0Œ@5806b1caf32527c69c8328a00db76853786f695115c48f42005563d80d6ad8f0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-geojsonio >=0.6.0”Œr-geojsonlint >=0.2.0”Œr-jsonlite >=1.5”Œr-readr >=1.1.1”Œ
r-sf >=0.6”Œr-sp >=1.2_7”Œ
r-v8 >=1.5”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ7©Ü¬hEJÍŽ hFˆubh)”}”(hŒr-rmapshaper”h#Œ0.5.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-rmapshaper-0.5.0-r42hc72bb7e_0.conda”h+Œ 14a4989839535a374f695340eaf904f7”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rmapshaper-0.5.0-r42hc72bb7e_0.conda”h0Œ@c03d8a087c932d4c9a89cfe7ecedb95ee438c5fd07efa8ff58d0dfdfceadf9b6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-geojsonio >=0.6.0”Œr-geojsonlint >=0.2.0”Œr-jsonlite >=1.5”Œr-readr >=1.1.1”Œ
r-sf >=0.6”Œr-sp >=1.2_7”Œ
r-v8 >=1.5”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ7”ªÀƒhEJMl hFˆubh)”}”(hŒr-rmarkdown”h#Œ2.22”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-rmarkdown-2.22-r41hc72bb7e_0.conda”h+Œ 0c4eb2b4f64057e35ebbb7a16e1314a1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmarkdown-2.22-r41hc72bb7e_0.conda”h0Œ@832ea440e578d620afb6c018ba66f23b6004b182a8e350d12b34696d76d8761f”h2NhNh3(Œpandoc >=1.14,<3.0”Œr-base >=4.1,<4.2.0a0”Œr-bslib >=0.2.5.1”Œr-evaluate >=0.13”Œr-fontawesome >=0.5.0”Œr-htmltools >=0.5.1”Œr-jquerylib”Œ
r-jsonlite”Œr-knitr >=1.22”Œr-stringr >=1.2.0”Œr-tinytex >=0.31”Œr-xfun >=0.36”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ:|+hEJÒ hFˆubh)”}”(hŒr-rmarkdown”h#Œ2.22”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-rmarkdown-2.22-r42hc72bb7e_0.conda”h+Œ 3ccc3121a64036e2a5d0077eaf4b69d9”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmarkdown-2.22-r42hc72bb7e_0.conda”h0Œ@530f5fc826322d19046155f1859c78dc8a519457ee45599cecc95c76e512f4f9”h2NhNh3(Œpandoc >=1.14,<3.0”Œr-base >=4.2,<4.3.0a0”Œr-bslib >=0.2.5.1”Œr-evaluate >=0.13”Œr-fontawesome >=0.5.0”Œr-htmltools >=0.5.1”Œr-jquerylib”Œ
r-jsonlite”Œr-knitr >=1.22”Œr-stringr >=1.2.0”Œr-tinytex >=0.31”Œr-xfun >=0.36”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ:|7 hEJÛÎ hFˆubh)”}”(hŒr-rmarkdown”h#Œ2.22”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-rmarkdown-2.22-r42hc72bb7e_1.conda”h+Œ eda6fb86f02e5d4fe400733baceffc9f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmarkdown-2.22-r42hc72bb7e_1.conda”h0Œ@3fa7cda1edef6a74207ffd6e50aa623a8a70dccf81857f4e218a759a17653f27”h2NhNh3(Œpandoc >=1.14,<3.0”Œr-base >=4.2,<4.3.0a0”Œr-bslib >=0.2.5.1”Œr-evaluate >=0.13”Œr-fontawesome >=0.5.0”Œr-htmltools >=0.5.1”Œr-jquerylib”Œ
r-jsonlite”Œr-knitr >=1.22”Œr-stringr >=1.2.0”Œr-tinytex >=0.31”Œr-xfun >=0.36”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"—ûçhEJ™Ð hFˆubh)”}”(hŒr-rmarkdown”h#Œ2.22”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-rmarkdown-2.22-r43hc72bb7e_1.conda”h+Œ 86d1a61e594051c6bcafeae0e6d1038e”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmarkdown-2.22-r43hc72bb7e_1.conda”h0Œ@705fe60672283027709cf0cd86d883c87db1a5121d4d3ea9df2bc4b961c266dc”h2NhNh3(Œpandoc >=1.14,<3.0”Œr-base >=4.3,<4.4.0a0”Œr-bslib >=0.2.5.1”Œr-evaluate >=0.13”Œr-fontawesome >=0.5.0”Œr-htmltools >=0.5.1”Œr-jquerylib”Œ
r-jsonlite”Œr-knitr >=1.22”Œr-stringr >=1.2.0”Œr-tinytex >=0.31”Œr-xfun >=0.36”Œr-yaml >=2.1.19”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"—*-hEJØ¿ hFˆubh)”}”(hŒr-rmdpartials”h#Œ0.5.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-rmdpartials-0.5.8-r42hc72bb7e_2.conda”h+Œ 721b3c8fde21f3e2442773986c3af281”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rmdpartials-0.5.8-r42hc72bb7e_2.conda”h0Œ@bc535be1872673a87344bd5de34238dacff1ff294f062b4d93d02ae7cdc96055”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-knitr”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ýŽ-ãThEMqÚhFˆubh)”}”(hŒr-rmdpartials”h#Œ0.5.8”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-rmdpartials-0.5.8-r43hc72bb7e_2.conda”h+Œ f93d705962ce8c6b89ac1eb8ef77c6e0”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rmdpartials-0.5.8-r43hc72bb7e_2.conda”h0Œ@05543ab0348f347ee57ccf3f1829864743dad2c2a266c7ee08463a0becdf3c3f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest”Œr-knitr”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ý•·;dhEM>ÛhFˆubh)”}”(hŒr-rmzqc”h#Œ0.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-rmzqc-0.4.2-r41hc72bb7e_0.conda”h+Œ d0dd0556688691de6e8f6e36b68cf835”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rmzqc-0.4.2-r41hc72bb7e_0.conda”h0Œ@d1a1928afa48713e799bb0e37794f6643ea48a931489a9cc64afbf249318bc48”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-jsonvalidate”Œr-knitr”Œr-ontologyindex”Œr-r6”Œr-r6p”Œr-rmarkdown”Œ
r-testthat”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙY"ö—hEJo& hFˆubh)”}”(hŒr-rmzqc”h#Œ0.4.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-rmzqc-0.4.2-r42hc72bb7e_0.conda”h+Œ deb0c925258e96068b8f8a034b87f5ed”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rmzqc-0.4.2-r42hc72bb7e_0.conda”h0Œ@2823c8ac33f7218da28cbf204616eb1ebe16b60b9b4f0cb4a846d07825af77b0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-jsonvalidate”Œr-knitr”Œr-ontologyindex”Œr-r6”Œr-r6p”Œr-rmarkdown”Œ
r-testthat”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙY!+hEJµ$ hFˆubh)”}”(hŒr-rnaturalearth”h#Œ0.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-rnaturalearth-0.3.3-r41hc72bb7e_0.conda”h+Œ c3ac0661f9985351821b99b2a696e3ee”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rnaturalearth-0.3.3-r41hc72bb7e_0.conda”h0Œ@92d0af167716c09cc374359408c580ce0a0362c96807ffe12f8e68629bbac8de”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr >=1.1.0”Œ
r-jsonlite”Œr-sf >=0.3_4”Œr-sp >=1.0.15”Œr-terra”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÜò¥‘hhEJ»a	 hFˆubh)”}”(hŒr-rnaturalearth”h#Œ0.3.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-rnaturalearth-0.3.3-r42hc72bb7e_0.conda”h+Œ f7cb86b4c167c69f7b3ade8dc40550e2”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rnaturalearth-0.3.3-r42hc72bb7e_0.conda”h0Œ@7c91effca9ef5068ccc8559a9f8ef1e33d7fcdfbc63c9a20fc628b473b6ac2b6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr >=1.1.0”Œ
r-jsonlite”Œr-sf >=0.3_4”Œr-sp >=1.0.15”Œr-terra”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÝn{hEJA]	 hFˆubh)”}”(hŒr-rnexml”h#Œ2.4.11”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rnexml-2.4.11-r41hc72bb7e_0.conda”h+Œ 71ed558bb8a5811b4ee6eb83cce1b3c8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rnexml-2.4.11-r41hc72bb7e_0.conda”h0Œ@414876be3a9c76790268e9ba27ae32e115087f96c677c56a432dc8a4d7b4ce11”h2NhNh3(Œr-ape >=3.1”Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.5.0”Œr-httr >=0.3”Œr-lazyeval >=0.1.0”Œr-plyr >=1.8”Œr-reshape2 >=1.2.2”Œr-rlang”Œ	r-stringi”Œr-stringr >=1.0”Œr-tidyr >=0.3.1”Œr-uuid >=0.1_1”Œr-xml >=3.95”Œr-xml2”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØö¸†TjhEJÇ| hFˆubh)”}”(hŒr-rnexml”h#Œ2.4.11”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-rnexml-2.4.11-r42hc72bb7e_0.conda”h+Œ 000b1a346f7a7a76dd7e855d120088ea”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rnexml-2.4.11-r42hc72bb7e_0.conda”h0Œ@55d4f8eda3e24be283e4fc29ceefa0897076dd3bc11874137ffd76f56aa11e4f”h2NhNh3(Œr-ape >=3.1”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.5.0”Œr-httr >=0.3”Œr-lazyeval >=0.1.0”Œr-plyr >=1.8”Œr-reshape2 >=1.2.2”Œr-rlang”Œ	r-stringi”Œr-stringr >=1.0”Œr-tidyr >=0.3.1”Œr-uuid >=0.1_1”Œr-xml >=3.95”Œr-xml2”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØö¸ƒn—hEJò† hFˆubh)”}”(hŒr-rnexml”h#Œ2.4.11”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-rnexml-2.4.11-r42hc72bb7e_1.conda”h+Œ 6e4cb9f84dda0212e5946d1ce4958d6a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rnexml-2.4.11-r42hc72bb7e_1.conda”h0Œ@b9bfb8ba877eaf5b5554ef4c9ee14d0484836867c873a4eab550bd4dfdbac968”h2NhNh3(Œr-ape >=3.1”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.5.0”Œr-httr >=0.3”Œr-lazyeval >=0.1.0”Œr-plyr >=1.8”Œr-reshape2 >=1.2.2”Œr-rlang”Œ	r-stringi”Œr-stringr >=1.0”Œr-tidyr >=0.3.1”Œr-uuid >=0.1_1”Œr-xml >=3.95”Œr-xml2”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"åÜœÌÍhEJ÷t hFˆubh)”}”(hŒr-rnexml”h#Œ2.4.11”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-rnexml-2.4.11-r43hc72bb7e_1.conda”h+Œ 478c7bcf783808c4d4b29ff57d85ced4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rnexml-2.4.11-r43hc72bb7e_1.conda”h0Œ@78ae8168984df7a6306a6862ab318aab591fee3d8fad9efccbcdb806666e37a2”h2NhNh3(Œr-ape >=3.1”Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=0.5.0”Œr-httr >=0.3”Œr-lazyeval >=0.1.0”Œr-plyr >=1.8”Œr-reshape2 >=1.2.2”Œr-rlang”Œ	r-stringi”Œr-stringr >=1.0”Œr-tidyr >=0.3.1”Œr-uuid >=0.1_1”Œr-xml >=3.95”Œr-xml2”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"åÜU²-hEJ_ hFˆubh)”}”(hŒ
r-rngtools”h#Œ1.5.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-rngtools-1.5.2-r42hc72bb7e_2.conda”h+Œ a466e6c21e597766bcdab882b3054731”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rngtools-1.5.2-r42hc72bb7e_2.conda”h0Œ@460580c02af86fab1ab2f8e7697ed5d882e88bee9abc6bb3eb23b589058b05ba”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-pkgmaker >=0.20”Œ	r-stringr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"µ2ïÎÙhEJ!{ hFˆubh)”}”(hŒ
r-rngtools”h#Œ1.5.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-rngtools-1.5.2-r43hc72bb7e_2.conda”h+Œ 9bd4ccea941d31299bab93786ef4db5c”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rngtools-1.5.2-r43hc72bb7e_2.conda”h0Œ@3a79ca51f962f90cd666989af874a58fea985ee39d697a01308d6f4ff74d49e8”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest”Œr-pkgmaker >=0.20”Œ	r-stringr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"µ-®ffhEJÐx hFˆubh)”}”(hŒr-roi”h#Œ1.0_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-roi-1.0_1-r41hc72bb7e_0.conda”h+Œ 5fe4a015fc20c398111abe327c37093f”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-roi-1.0_1-r41hc72bb7e_0.conda”h0Œ@091742de33bd88dd674078a77b3f178b75dae892cee85f182a49f280be5f5880”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-registry >=0.5”Œr-slam”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙn*PhEJ;{ hFˆubh)”}”(hŒr-roi”h#Œ1.0_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-roi-1.0_1-r42hc72bb7e_0.conda”h+Œ 83355f5d73d00d6f707b9641a1f6bc1c”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-roi-1.0_1-r42hc72bb7e_0.conda”h0Œ@b5e1f59eb7a5452da37b2c128960299ee1393dfe575fe0523d3eab94f794b592”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-registry >=0.5”Œr-slam”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙnÝ?}hEJËw hFˆubh)”}”(hŒr-rotl”h#Œ3.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-rotl-3.1.0-r42hc72bb7e_0.conda”h+Œ 20c7a5e56a9b40c1f9e00b9c6adf6963”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rotl-3.1.0-r42hc72bb7e_0.conda”h0Œ@274c0c6a05734b1a9b6eee1007b0ce28e22f1f47ee8c521ddd37e9e76b2e3ff3”h2NhNh3(Œr-ape”Œr-assertthat >=0.1”Œr-base >=4.2,<4.3.0a0”Œr-httr”Œ
r-jsonlite”Œ	r-rentrez”Œr-rncl >=0.6.0”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAÙ"ÉÐ ÅhEJÝ+ hFˆubh)”}”(hŒr-rotl”h#Œ3.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-rotl-3.1.0-r42hc72bb7e_1.conda”h+Œ 8f26f59d2d7c53be91c3c35c378efd7f”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rotl-3.1.0-r42hc72bb7e_1.conda”h0Œ@2e8a54640d21bb145098f5d8a640e97597b7831d565b5fee1ba4349a6485f0b6”h2NhNh3(Œr-ape”Œr-assertthat >=0.1”Œr-base >=4.2,<4.3.0a0”Œr-httr”Œ
r-jsonlite”Œ	r-rentrez”Œr-rncl >=0.6.0”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAÙ"åê¾{hEJÓ. hFˆubh)”}”(hŒr-rotl”h#Œ3.1.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-rotl-3.1.0-r43hc72bb7e_1.conda”h+Œ 2937e84d8da40e97fdf3249ebdd0bfe3”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rotl-3.1.0-r43hc72bb7e_1.conda”h0Œ@13a5270011a68d65047e17227fae0716902b7257951ae709fbf93f04e6068d2c”h2NhNh3(Œr-ape”Œr-assertthat >=0.1”Œr-base >=4.3,<4.4.0a0”Œr-httr”Œ
r-jsonlite”Œ	r-rentrez”Œr-rncl >=0.6.0”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAÙ"åô³×
hEJ# hFˆubh)”}”(hŒr-rpmg”h#Œ2.2_3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ r-rpmg-2.2_3-r42hc72bb7e_3.conda”h+Œ 3f389a4145f2d9e100b55a52f34b47cc”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rpmg-2.2_3-r42hc72bb7e_3.conda”h0Œ@b0984c6f4e20e2e62e1cd4a6c8836af7d748074e45ac4369e2e06c8e298b669b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"Ùsí`BhEJ@ hFˆubh)”}”(hŒr-rpmg”h#Œ2.2_3”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ r-rpmg-2.2_3-r43hc72bb7e_3.conda”h+Œ 665e035c598b4822d91d85c2c988bbd9”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-rpmg-2.2_3-r43hc72bb7e_3.conda”h0Œ@3fbf45bc2e337046189ee26ea6ccef9db8a28e45b648c6b8789fee40784e9886”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ÙszŸ¾hEJV; hFˆubh)”}”(hŒ	r-rpresto”h#Œ1.4.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rpresto-1.4.5-r41hc72bb7e_0.conda”h+Œ e8e3b3d5917ef08161281b21ceb93aaa”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rpresto-1.4.5-r41hc72bb7e_0.conda”h0Œ@83bb5e1babf5ff3fa80f5f8be4702c9caff0a73a6bdf035de8990935a92757b8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bit64”Œr-dbi >=0.3.0”Œr-dbplyr >=2.0.0”Œr-dplyr >=0.7.0”Œr-httr >=0.6”Œ
r-jsonlite”Œr-lifecycle”Œr-lubridate”Œ	r-openssl”Œ
r-progress”Œr-purrr”Œr-rlang”Œ	r-stringi”Œr-tibble”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙO&ùÛhEJ“¼ hFˆubh)”}”(hŒ	r-rpresto”h#Œ1.4.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-rpresto-1.4.5-r42hc72bb7e_0.conda”h+Œ 0db4bd88d7b4b85010d88723d1160d1f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rpresto-1.4.5-r42hc72bb7e_0.conda”h0Œ@2b821ab19cd392a1d12be5b91926fa4d3b386b1faf64f591b1541df1a4b90a8a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bit64”Œr-dbi >=0.3.0”Œr-dbplyr >=2.0.0”Œr-dplyr >=0.7.0”Œr-httr >=0.6”Œ
r-jsonlite”Œr-lifecycle”Œr-lubridate”Œ	r-openssl”Œ
r-progress”Œr-purrr”Œr-rlang”Œ	r-stringi”Œr-tibble”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙO‹t¼hEJ³Ã hFˆubh)”}”(hŒr-rprojroot”h#Œ2.0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-rprojroot-2.0.3-r42hc72bb7e_0.conda”h+Œ 87439f81ecd63b82fb3bd5ec9c4fe23b”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rprojroot-2.0.3-r42hc72bb7e_0.conda”h0Œ@dd73ec231a4ebc9650ace6555b7aa268f4d496f3d092c996c783915bb5734b61”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"=ïÊÀƒhEJ_˜ hFˆubh)”}”(hŒr-rprojroot”h#Œ2.0.3”h%Œr43hc72bb7e_0”h'K hhh(h)hŒ%r-rprojroot-2.0.3-r43hc72bb7e_0.conda”h+Œ a29ab4c503de120952e033f506700525”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rprojroot-2.0.3-r43hc72bb7e_0.conda”h0Œ@ce195bc131d06626d6835c71856d2f89a2a880e91b83c561f1e7574b54865f8c”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"=ñáûçhEJo˜ hFˆubh)”}”(hŒr-rpymat”h#Œ0.1.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-rpymat-0.1.5-r41hc72bb7e_0.conda”h+Œ ba3bb0f0559343d40db70b365fe72844”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpymat-0.1.5-r41hc72bb7e_0.conda”h0Œ@3be8cc6a783c3292e4069b09864272b0f4ad1b6844f22c737bd2843e7d0d4ee5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fastmap >=1.1.0”Œr-glue >=1.4.2”Œr-irkernel >=1.3”Œr-jsonlite >=1.7.3”Œr-rappdirs >=0.3.3”Œr-reticulate >=1.21”Œr-rstudioapi >=0.13”t”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAÙ‡[Ð´9hEJôè hFˆubh)”}”(hŒr-rpymat”h#Œ0.1.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-rpymat-0.1.5-r41hc72bb7e_1.conda”h+Œ 95e7735da4e1d2e11a7777e366e2f7dc”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpymat-0.1.5-r41hc72bb7e_1.conda”h0Œ@4de84f31038687afb7e027d15c8bb64c3924006cc1afe20bb55b9b88cee6a49a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fastmap >=1.1.0”Œr-glue >=1.4.2”Œr-irkernel >=1.3”Œr-jsonlite >=1.7.3”Œr-rappdirs >=0.3.3”Œr-reticulate >=1.21”Œr-rstudioapi >=0.13”t”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAÙ¼ÀëSøhEJrï hFˆubh)”}”(hŒr-rpymat”h#Œ0.1.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-rpymat-0.1.5-r42hc72bb7e_0.conda”h+Œ 588343d40fc86321fd8640401e5ed374”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpymat-0.1.5-r42hc72bb7e_0.conda”h0Œ@ba690b8f5f647b4d7f4fb8d41aeaeb5a137d7a74ad407663603bedbd14b645f2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fastmap >=1.1.0”Œr-glue >=1.4.2”Œr-irkernel >=1.3”Œr-jsonlite >=1.7.3”Œr-rappdirs >=0.3.3”Œr-reticulate >=1.21”Œr-rstudioapi >=0.13”t”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAÙ‡_í‘hhEJwê hFˆubh)”}”(hŒr-rpymat”h#Œ0.1.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-rpymat-0.1.5-r42hc72bb7e_1.conda”h+Œ b1b5b84417e2b547d0f68fed00078bf9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpymat-0.1.5-r42hc72bb7e_1.conda”h0Œ@2509a36aaeb76fce755cff38efa2b29f88c59bd267a47ab571524d530a11c52e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fastmap >=1.1.0”Œr-glue >=1.4.2”Œr-irkernel >=1.3”Œr-jsonlite >=1.7.3”Œr-rappdirs >=0.3.3”Œr-reticulate >=1.21”Œr-rstudioapi >=0.13”t”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAÙ¼·t9XhEJ™î hFˆubh)”}”(hŒr-rrblup”h#Œ4.6.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-rrblup-4.6.2-r41hc72bb7e_0.conda”h+Œ 81de9651f37f00cb76984221d083bd0a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rrblup-4.6.2-r41hc72bb7e_0.conda”h0Œ@6e6ae213c5136d6e9fb70a47fb61b6a221ab5f8f2a807317128ff4def42b9963”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØî(½-hEJÁ¢ hFˆubh)”}”(hŒr-rrblup”h#Œ4.6.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-rrblup-4.6.2-r42hc72bb7e_0.conda”h+Œ eda66b58089ea4e4f795102c345c867c”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rrblup-4.6.2-r42hc72bb7e_0.conda”h0Œ@b265d6f5b3cb20bd445d0cd7b62bc6ddcf16dcc0d85a9d2eaa49679f8324c809”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØî(ÇËÆ¨hEJË¢ hFˆubh)”}”(hŒ
r-rredlist”h#Œ0.7.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-rredlist-0.7.1-r42hc72bb7e_1.conda”h+Œ 0e5fb89ed2cf54bf094b6fee7a730812”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rredlist-0.7.1-r42hc72bb7e_1.conda”h0Œ@8690b89dcca017425396446cc6963cca8a5bd26638b3e1608880f7b3f4ccb9db”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.3.8”Œr-jsonlite >=1.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"åÒÌIºhEJj` hFˆubh)”}”(hŒ
r-rredlist”h#Œ0.7.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-rredlist-0.7.1-r43hc72bb7e_1.conda”h+Œ e6301b0a73e98007bf371884b4727c13”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rredlist-0.7.1-r43hc72bb7e_1.conda”h0Œ@8fb0526c75d0d8706b2972309e20d117487129fe150cd8942fb7653dc18cc606”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-crul >=0.3.8”Œr-jsonlite >=1.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"åä‡+hEJÖ] hFˆubh)”}”(hŒ	r-rsample”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rsample-1.1.1-r41hc72bb7e_0.conda”h+Œ 1190010bfd4227e266d1748551d2cd24”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rsample-1.1.1-r41hc72bb7e_0.conda”h0Œ@cad5a8f36dd7611c5a0199e15efca2da77c766ddfbfe2cdcc1d3847e2a0c4cf6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.8.5”Œ
r-ellipsis”Œr-furrr”Œ
r-generics”Œr-modeldata”Œr-purrr”Œr-rlang >=0.4.0”Œr-slider >=0.1.5”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs >=0.3.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØäQEŠJhEJÆŽ hFˆubh)”}”(hŒ	r-rsample”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-rsample-1.1.1-r41hc72bb7e_1.conda”h+Œ bfa2d70baf175f33957fbf591db86c8c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rsample-1.1.1-r41hc72bb7e_1.conda”h0Œ@c371cfd47f0a3103d8f99770ef1392b705e76f951e9591af4e792d3a12bc6e58”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-furrr”Œ
r-generics”Œr-glue”Œr-pillar”Œr-purrr”Œr-rlang >=0.4.10”Œr-slider >=0.1.5”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs >=0.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØäp‰n˜hEJãz hFˆubh)”}”(hŒ	r-rsample”h#Œ1.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-rsample-1.1.1-r42hc72bb7e_0.conda”h+Œ 784c78ca772bf550547df5248adad293”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rsample-1.1.1-r42hc72bb7e_0.conda”h0Œ@c27db03a42b4e9a12bdc87417189dbb856512ed0e8fe0510e059de56636a01f7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.8.5”Œ
r-ellipsis”Œr-furrr”Œ
r-generics”Œr-modeldata”Œr-purrr”Œr-rlang >=0.4.0”Œr-slider >=0.1.5”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs >=0.3.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØäQ7R¬hEJ5• hFˆubh)”}”(hŒ	r-rsample”h#Œ1.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-rsample-1.1.1-r42hc72bb7e_1.conda”h+Œ 6712b46440e0c75111c4f99d357d9bd4”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rsample-1.1.1-r42hc72bb7e_1.conda”h0Œ@3f7d33b3cce0498b6df01b4ab280b343276991715cd9823c29cc392536841af9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-furrr”Œ
r-generics”Œr-glue”Œr-pillar”Œr-purrr”Œr-rlang >=0.4.10”Œr-slider >=0.1.5”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs >=0.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØäpë×
hEJL€ hFˆubh)”}”(hŒ	r-rsample”h#Œ1.1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-rsample-1.1.1-r42hc72bb7e_2.conda”h+Œ f4a6a8af42a7be40b000fa67a964f28d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rsample-1.1.1-r42hc72bb7e_2.conda”h0Œ@bb43ec06011ce965c0903deaf986d268ac20bf07cc3e6eb44b240b800e44e29e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-furrr”Œ
r-generics”Œr-glue”Œr-pillar”Œr-purrr”Œr-rlang >=0.4.10”Œr-slider >=0.1.5”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs >=0.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥÷l‹hEJM| hFˆubh)”}”(hŒ	r-rsample”h#Œ1.1.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-rsample-1.1.1-r43hc72bb7e_2.conda”h+Œ dde59bb6ee4f7a68c328ee515c2f8eae”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rsample-1.1.1-r43hc72bb7e_2.conda”h0Œ@cec311ac6f5a9def9f07b23ab5a4115741e6ba0a4cd0f6f32157092ad1c09869”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=1.0.0”Œr-furrr”Œ
r-generics”Œr-glue”Œr-pillar”Œr-purrr”Œr-rlang >=0.4.10”Œr-slider >=0.1.5”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs >=0.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¥ñ™šhEJLs hFˆubh)”}”(hŒr-rsconnect”h#Œ0.8.29”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-rsconnect-0.8.29-r41hc72bb7e_0.conda”h+Œ 63863fa34f7ad560086342ffead14957”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rsconnect-0.8.29-r41hc72bb7e_0.conda”h0Œ@67f99825b81d42900cd1b8976f3e8509cbfc3f878482454470c7270679aaae5b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-digest”Œ
r-jsonlite”Œ	r-openssl”Œr-packrat >=0.5”Œr-rstudioapi >=0.5”Œr-yaml >=2.1.5”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØï69MÓhEJ”¥
 hFˆubh)”}”(hŒr-rsconnect”h#Œ0.8.29”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-rsconnect-0.8.29-r42hc72bb7e_0.conda”h+Œ 9f96715c6492eb02c4873b885b67b71c”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rsconnect-0.8.29-r42hc72bb7e_0.conda”h0Œ@b22b6883fe2cdda037d6a8dfd01bcc027adfefe6d209f56201e6ff9e7938400e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-digest”Œ
r-jsonlite”Œ	r-openssl”Œr-packrat >=0.5”Œr-rstudioapi >=0.5”Œr-yaml >=2.1.5”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØï62™&éhEJK­
 hFˆubh)”}”(hŒr-rsconnect”h#Œ0.8.29”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-rsconnect-0.8.29-r42hc72bb7e_1.conda”h+Œ 7cbba122539fdca3229c558bd52d6e5a”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rsconnect-0.8.29-r42hc72bb7e_1.conda”h0Œ@fe741adea139803010749a7245840995b1f51f704f2d3ad069b048991df9e6b5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-digest”Œ
r-jsonlite”Œ	r-openssl”Œr-packrat >=0.5”Œr-rstudioapi >=0.5”Œr-yaml >=2.1.5”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Ó	&ÙhEJ±­
 hFˆubh)”}”(hŒr-rsconnect”h#Œ0.8.29”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ&r-rsconnect-0.8.29-r43hc72bb7e_1.conda”h+Œ 20d796a3b71a787c98fe6e01fd81c834”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rsconnect-0.8.29-r43hc72bb7e_1.conda”h0Œ@58f62f223235c63f926aca62fe1227480f6fd4ce713e2498652664ea7643c769”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-curl”Œr-digest”Œ
r-jsonlite”Œ	r-openssl”Œr-packrat >=0.5”Œr-rstudioapi >=0.5”Œr-yaml >=2.1.5”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÓÆ‡+hEJ€¨
 hFˆubh)”}”(hŒr-rslurm”h#Œ0.6.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-rslurm-0.6.2-r41hc72bb7e_0.conda”h+Œ e9df93e1c2b02f8de0db8da493894207”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rslurm-0.6.2-r41hc72bb7e_0.conda”h0Œ@819e479d5f94bad223af68eea6eabd5552e1c600d5485f88d7261f01ce5e4475”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-whisker >=0.3”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØþ7éßïžhEJ¥ hFˆubh)”}”(hŒr-rslurm”h#Œ0.6.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-rslurm-0.6.2-r42hc72bb7e_0.conda”h+Œ deb7b332095b70d087c3d4710da90f94”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rslurm-0.6.2-r42hc72bb7e_0.conda”h0Œ@968a877f1d62c4514ff470d2234339173029f6fa05aa0135fbbdeb84f0b3d2ef”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-whisker >=0.3”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØþ7ôm/hEJÍ¤ hFˆubh)”}”(hŒr-rsolnp”h#Œ1.16”h%Œr42ha770c72_1005”h'Míhhh(h)hŒ$r-rsolnp-1.16-r42ha770c72_1005.conda”h+Œ c3526abfe820cbb0eecdaebce5f27146”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rsolnp-1.16-r42ha770c72_1005.conda”h0Œ@d00bb613e63b2985b7423102163f59767996d6e2758b7a9fc07f591db11016ef”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-truncnorm”†”h9hºh@ŒGPL”hBŒGPL”hDGAÙ"ÇF“hEJ­ hFˆubh)”}”(hŒr-rsolnp”h#Œ1.16”h%Œr43ha770c72_1005”h'Míhhh(h)hŒ$r-rsolnp-1.16-r43ha770c72_1005.conda”h+Œ d3b6c2c9eef3328fe306509e273aec67”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rsolnp-1.16-r43ha770c72_1005.conda”h0Œ@809a1d8e3625e554b218ee25bd341bf9efbca8b5822c6e5900bfb46384f89d57”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-truncnorm”†”h9hºh@ŒGPL”hBŒGPL”hDGAÙ"Ç06vÉhEJÓ hFˆubh)”}”(hŒr-rstac”h#Œ0.9.2_4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-rstac-0.9.2_4-r42hc72bb7e_0.conda”h+Œ 910e42b846cbb4043c76f0cd16b3c454”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rstac-0.9.2_4-r42hc72bb7e_0.conda”h0Œ@11fe66d438c7d1eaaa897bb9d80afef21dd1312db7c41b5896ac3916fd36ef8e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-httr”Œ
r-jsonlite”Œr-lifecycle”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Rªrn˜hEJçl hFˆubh)”}”(hŒ	r-rstatix”h#Œ0.7.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rstatix-0.7.2-r41hc72bb7e_0.conda”h+Œ fd1049886d4fb0561bca89234be50226”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rstatix-0.7.2-r41hc72bb7e_0.conda”h0Œ@50e928077af8487f0864e42300bef61db861fec63c4d761994dd21ad770194c7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-car”Œ
r-corrplot”Œr-dplyr >=0.7.1”Œ
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r-rvertnet”h#Œ0.8.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-rvertnet-0.8.2-r43hc72bb7e_2.conda”h+Œ 209597c9baf64f3b5d0662e85d61b576”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rvertnet-0.8.2-r43hc72bb7e_2.conda”h0Œ@ff304bcc913584287165a13fddb91450a26a057a50513d2c4872ef207ff6634f”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crul >=0.5.2”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œr-jsonlite >=1.5”Œr-maps”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ýsC–hEJ¤^ hFˆubh)”}”(hŒr-rvest”h#Œ1.0.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-rvest-1.0.3-r42hc72bb7e_2.conda”h+Œ fd25aac44cac6e52c994801afb4a8788”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rvest-1.0.3-r42hc72bb7e_2.conda”•      h0Œ@fdbfd3437cbc482f8f9906dc0a789be0c50b94012aaa157e14f387490b4484cf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-glue”Œr-httr >=0.5”Œr-lifecycle >=1.0.0”Œ
r-magrittr”Œr-rlang >=1.0.0”Œ	r-selectr”Œr-tibble”Œr-withr”Œr-xml2 >=1.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´¾¹ÊÁhEJ1G hFˆubh)”}”(hŒr-rvest”h#Œ1.0.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-rvest-1.0.3-r43hc72bb7e_2.conda”h+Œ d8a0896ba3d5273d0b66056ce71f8934”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rvest-1.0.3-r43hc72bb7e_2.conda”h0Œ@f8e9310484541e701b295f9840dd4a6dbfe83ac6b2f365df14104a62d7bad2a7”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-glue”Œr-httr >=0.5”Œr-lifecycle >=1.0.0”Œ
r-magrittr”Œr-rlang >=1.0.0”Œ	r-selectr”Œr-tibble”Œr-withr”Œr-xml2 >=1.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´µýVhEJhB hFˆubh)”}”(hŒr-rweka”h#Œ0.4_46”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-rweka-0.4_46-r41hc72bb7e_0.conda”h+Œ 5cd151963983f9317e26d1ac69aae653”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rweka-0.4_46-r41hc72bb7e_0.conda”h0Œ@1ce4266c229f512d7f9222025d0f04007bf2893898025e25e58dee8a7eef407a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava >=0.6_3”Œr-rwekajars >=3.9.3_1”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÚÉ¤(öhEJ0é hFˆubh)”}”(hŒr-rweka”h#Œ0.4_46”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-rweka-0.4_46-r42hc72bb7e_0.conda”h+Œ ef421ee1a8c4e912ee829e91b0cb26d5”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rweka-0.4_46-r42hc72bb7e_0.conda”h0Œ@55726dfdba6d47ff6211a670602af0e53e6bc9b5f72789a72dcf6b5fcde7154a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava >=0.6_3”Œr-rwekajars >=3.9.3_1”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙÚÈñxÕhEJNä hFˆubh)”}”(hŒr-rwekajars”h#Œ3.9.3_2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ'r-rwekajars-3.9.3_2-r42hc72bb7e_3.conda”h+Œ e7ba1b0bf024e0956d1d67b156d388b7”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rwekajars-3.9.3_2-r42hc72bb7e_3.conda”h0Œ@fc89e505ebf284ae54aa11fa55e60588faaffccfaef65f30df828473c7856234”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava >=0.6_3”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ýnº°!hEJYàŽ hFˆubh)”}”(hŒr-rwekajars”h#Œ3.9.3_2”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ'r-rwekajars-3.9.3_2-r43hc72bb7e_3.conda”h+Œ 5a4f4e9b5fc5350f4812c3e3437c9d6c”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rwekajars-3.9.3_2-r43hc72bb7e_3.conda”h0Œ@d354e2a568c2c29ff44fad929efe8df118458eca7bb254bb0438cb1fcc13ca94”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-rjava >=0.6_3”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ýn…ÂhEJséŽ hFˆubh)”}”(hŒr-s2dv”h#Œ1.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-s2dv-1.4.1-r41hc72bb7e_0.conda”h+Œ 6260862f99c02fd46df2814c8dc45f9d”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-s2dv-1.4.1-r41hc72bb7e_0.conda”h0Œ@64e578c50b3923c299c4a815023644fe248a3f78de5b959629ddaf185e061356”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-bigmemory”Œr-climprojdiags”Œ
r-easyncdf”Œr-easyverification”Œ	r-mapproj”Œr-maps”Œr-multiapply >=2.1.1”Œ	r-nbclust”Œr-ncdf4”Œr-plyr”Œr-specsverification >=0.5.0”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ'8Ÿ;dhEJî ! hFˆubh)”}”(hŒr-s2dv”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-s2dv-1.4.1-r42hc72bb7e_0.conda”h+Œ 5e51d54412773852543fb4535bfe95c5”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-s2dv-1.4.1-r42hc72bb7e_0.conda”h0Œ@25cfe4a161b76880e77898572d5f6057a592d092f3eac082289b6b76b1ebb7e2”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-bigmemory”Œr-climprojdiags”Œ
r-easyncdf”Œr-easyverification”Œ	r-mapproj”Œr-maps”Œr-multiapply >=2.1.1”Œ	r-nbclust”Œr-ncdf4”Œr-plyr”Œr-specsverification >=0.5.0”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ'=gKÇhEJ-œ! hFˆubh)”}”(hŒ
r-sandwich”h#Œ3.0_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-sandwich-3.0_2-r42hc72bb7e_2.conda”h+Œ c3df4ff3dfce1285def91b9a93a9a630”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sandwich-3.0_2-r42hc72bb7e_2.conda”h0Œ@3c8648ebb9197b681518646af95c2963fc1c2a34a9ea73ced9a2d649b7c5b27b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-zoo”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"„?w¾whEJ$ hFˆubh)”}”(hŒ
r-sandwich”h#Œ3.0_2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-sandwich-3.0_2-r43hc72bb7e_2.conda”h+Œ b1467921f231d75abe4ae8d6f192633e”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sandwich-3.0_2-r43hc72bb7e_2.conda”h0Œ@aa5dfcfb7bd01ed1cf06e270a9eb03e5c211f8ce9aae08f7833c881bb5b76fb9”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-zoo”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"„AÛ#hEJy hFˆubh)”}”(hŒr-scales”h#Œ1.2.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-scales-1.2.1-r42hc72bb7e_2.conda”h+Œ 97a8135c449118bbb0bf059ae09383c9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-scales-1.2.1-r42hc72bb7e_2.conda”h0Œ@0059f47698c82e7788713f81e22bfffa7631b42ec2ec6971fdf84563be616f81”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-farver >=2.0.0”Œ
r-labeling”Œr-lifecycle”Œr-munsell >=0.5”Œr-r6”Œr-rcolorbrewer”Œr-viridislite”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Š#¿
=hEJ!	 hFˆubh)”}”(hŒr-scales”h#Œ1.2.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ"r-scales-1.2.1-r43hc72bb7e_2.conda”h+Œ 15000d314c62a0ab088304962e34a058”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-scales-1.2.1-r43hc72bb7e_2.conda”h0Œ@a57b079cfa4c51f0cc5ba4a32b1b0bc4374bf2d6895e0ae6c645c4a6cbf26206”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-farver >=2.0.0”Œ
r-labeling”Œr-lifecycle”Œr-munsell >=0.5”Œr-r6”Œr-rcolorbrewer”Œr-viridislite”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Š"ÕhEJI	 hFˆubh)”}”(hŒr-scatterpie”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-scatterpie-0.2.1-r41hc72bb7e_0.conda”h+Œ 62226ee2d9d25416e84d89a4d8299d24”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-scatterpie-0.2.1-r41hc72bb7e_0.conda”h0Œ@95ead8c9915e1ce483b7dca10780187a3d3c829c69a62fc7e7afd84644abce0d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggforce”Œr-ggfun”Œ	r-ggplot2”Œr-rlang”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ Ž…OßhEJß% hFˆubh)”}”(hŒr-scatterpie”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-scatterpie-0.2.1-r42hc72bb7e_0.conda”h+Œ 3247b925fb49c24cbbba5147ffd74bbc”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-scatterpie-0.2.1-r42hc72bb7e_0.conda”h0Œ@19c733daddd574c6d8da480b62c06490a5276283ca95582aa4b9b2f594f9ab81”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggforce”Œr-ggfun”Œ	r-ggplot2”Œr-rlang”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ ‹Z~úhEJà% hFˆubh)”}”(hŒr-scatterplot3d”h#Œ0.3_44”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-scatterplot3d-0.3_44-r41hc72bb7e_0.conda”h+Œ 5ea6fba91dcc7627100c299aaaa3a271”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-scatterplot3d-0.3_44-r41hc72bb7e_0.conda”h0Œ@2a63886c0af7124f76d3ea0954b8a0c888d8454c062f208e9f2e9c1bddf14f5e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ?šˆÄœhEJ„ hFˆubh)”}”(hŒr-scatterplot3d”h#Œ0.3_44”h%Œr42h785f33e_1”h'Khhh(h)hŒ*r-scatterplot3d-0.3_44-r42h785f33e_1.conda”h+Œ e8ab6af21a4f682b06404510873e0bef”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-scatterplot3d-0.3_44-r42h785f33e_1.conda”h0Œ@5535e4d2cb9c17afff34c9b8fcbc3b5d61c288ea25f702a4846a00cea6479598”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÓÒ¬hEJ£ƒ hFˆubh)”}”(hŒr-scatterplot3d”h#Œ0.3_44”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-scatterplot3d-0.3_44-r42hc72bb7e_0.conda”h+Œ 6772656848d2412a66846491eef2e6c5”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-scatterplot3d-0.3_44-r42hc72bb7e_0.conda”h0Œ@962c8e4d30f952ec45fcac0a4d09520e8205e43c5f31ca59a298d6f4a4341b0d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ?”eÒòhEJÄƒ hFˆubh)”}”(hŒr-scatterplot3d”h#Œ0.3_44”h%Œr43h785f33e_1”h'Khhh(h)hŒ*r-scatterplot3d-0.3_44-r43h785f33e_1.conda”h+Œ 2ac1ab04884af16c8e41a68553a79411”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-scatterplot3d-0.3_44-r43h785f33e_1.conda”h0Œ@70fb1163a6aa1369077e7826aa651c08feb57ee79d739b563c1b653e675f7483”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÌcohEJ„ hFˆubh)”}”(hŒr-sccs”h#Œ1.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-sccs-1.6-r41hc72bb7e_0.conda”h+Œ 18928c727b1231b149cce0b28282b2fa”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-sccs-1.6-r41hc72bb7e_0.conda”h0Œ@55835332c11ef004af1993f2b827f556ef7d10204585de82c4f1f098a5d46ae9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-corpcor”Œr-fda”Œr-gnm”Œr-r.methodss3”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ¨œ8  hEJ[Ÿ	 hFˆubh)”}”(hŒr-sccs”h#Œ1.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-sccs-1.6-r42hc72bb7e_0.conda”h+Œ 919cd8a281f49421bfce6210e0a8c9b6”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-sccs-1.6-r42hc72bb7e_0.conda”h0Œ@92a06f8d5034a37c9d7886b5852f13563babc8143dd5b29c5e1ade15e43083ab”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-corpcor”Œr-fda”Œr-gnm”Œr-r.methodss3”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ¨ºŒ¼jhEJË 	 hFˆubh)”}”(hŒ
r-schtools”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-schtools-0.4.0-r41hc72bb7e_0.conda”h+Œ 60fe7471a52f0f9540e718a1aeb9594f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-schtools-0.4.0-r41hc72bb7e_0.conda”h0Œ@66e79fd07bd56222fe1289008a0e3d0735a3f42bb6b86f765d2d24d04cf374f5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-formatr”Œr-glue”Œr-rlang”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØñSýŠÐåhEJ9 hFˆubh)”}”(hŒ
r-schtools”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-schtools-0.4.0-r42hc72bb7e_0.conda”h+Œ 41f63fd695f3778a47a0532e64532c97”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-schtools-0.4.0-r42hc72bb7e_0.conda”h0Œ@876e4673727354275c25994b03c7d4a740e5808a7ffbe27b944a3262c6977252”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-formatr”Œr-glue”Œr-rlang”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØñT81'hEJU* hFˆubh)”}”(hŒr-scico”h#Œ1.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-scico-1.4.0-r41hc72bb7e_0.conda”h+Œ f83372f72569f040037c1170016a6118”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-scico-1.4.0-r41hc72bb7e_0.conda”h0Œ@6cc85ccb26f0abd356b8f5c8061d927298930b89753e3cb5eff4e099222d389a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-scales”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙxCc…hEJª“ hFˆubh)”}”(hŒr-scico”h#Œ1.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-scico-1.4.0-r42hc72bb7e_0.conda”h+Œ 3c0260a68229048f6768d130667cf2a9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-scico-1.4.0-r42hc72bb7e_0.conda”h0Œ@c0d27190ff42594a9e7838230ea6b720e9709b91381a9bca3d26788461fa737b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-scales”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙxC˜ÔþhEJ°“ hFˆubh)”}”(hŒr-scico”h#Œ1.4.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-scico-1.4.0-r42hc72bb7e_1.conda”h+Œ 3ad440e9683df545f4447c31e0aa8e5c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-scico-1.4.0-r42hc72bb7e_1.conda”h0Œ@c1e017c163c773a17e15a1c622a4c6d9ead07012fce11c09ed8bd8f9f01a39bc”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-scales”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ýP9ÊÁhEJÖ“ hFˆubh)”}”(hŒr-scico”h#Œ1.4.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-scico-1.4.0-r43hc72bb7e_1.conda”h+Œ eb07f0aa691a9a6ced7c3c0d0281dad4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-scico-1.4.0-r43hc72bb7e_1.conda”h0Œ@7533ce2b14a55a6f5c470ab512c9aaab1887e44c529228f1944e62d61338efb4”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-scales”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ýX¤IºhEJb“ hFˆubh)”}”(hŒr-scorecard”h#Œ0.4.2”h%Œr41h785f33e_0”h'K hhh(h)hŒ%r-scorecard-0.4.2-r41h785f33e_0.conda”h+Œ 7ab3c331e2accdce53cc6b9a78ac90cc”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-scorecard-0.4.2-r41h785f33e_0.conda”h0Œ@ac72e473b77157c2b8f7b8c07b93cb17aacd73406ef53551473584597c344dd2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-data.table >=1.10.0”Œr-doparallel”Œ	r-foreach”Œ	r-ggplot2”Œr-gridextra”Œ
r-openxlsx”Œ	r-stringi”Œr-xefun >=0.1.2”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙRC®5?hEJEª hFˆubh)”}”(hŒr-scorecard”h#Œ0.4.2”h%Œr42h785f33e_0”h'K hhh(h)hŒ%r-scorecard-0.4.2-r42h785f33e_0.conda”h+Œ bc0c67f6ef68eaded9d2c9e0d0f61b48”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-scorecard-0.4.2-r42h785f33e_0.conda”h0Œ@ae2e5e4552e58b324cee5faf11142eb05ad13ed5739fe606304f505b1db03e2f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-data.table >=1.10.0”Œr-doparallel”Œ	r-foreach”Œ	r-ggplot2”Œr-gridextra”Œ
r-openxlsx”Œ	r-stringi”Œr-xefun >=0.1.2”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙRV­ãThEJF­ hFˆubh)”}”(hŒ	r-seacarb”h#Œ3.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-seacarb-3.3.2-r41hc72bb7e_0.conda”h+Œ a4002e9c8edfab797df4ec66c8d4fa6b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-seacarb-3.3.2-r41hc72bb7e_0.conda”h0Œ@490ee69c1cf8375302faae0c37719822b93b6d99a5b68bbea2a048989172755d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gsw”Œr-oce”Œr-solvesaphe”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ“TY‰7hEJ–
 hFˆubh)”}”(hŒ	r-seacarb”h#Œ3.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-seacarb-3.3.2-r42hc72bb7e_0.conda”h+Œ 2441f143faf96d55ac494043a4516107”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-seacarb-3.3.2-r42hc72bb7e_0.conda”h0Œ@22de36fc03c969fe99221fdfca6c0542e16cf050b515847dc7d747e1b8da22a2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-gsw”Œr-oce”Œr-solvesaphe”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ“QaÊÁhEJÊš
 hFˆubh)”}”(hŒr-secutrialr”h#Œ1.1.1”h%Œr41hd8ed1ab_0”h'K hhh(h)hŒ&r-secutrialr-1.1.1-r41hd8ed1ab_0.conda”h+Œ 5169ce895b49a269797f9d372e2b4903”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-secutrialr-1.1.1-r41hd8ed1ab_0.conda”h0Œ@58e274be8ccc076fbe7d8648149c730312058c8cbde905833cb9e6080c41f31d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-haven >=2.2.0”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-readxl”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙl¢Ÿ¾hEJtL hFˆubh)”}”(hŒr-secutrialr”h#Œ1.1.1”h%Œr42hd8ed1ab_0”h'K hhh(h)hŒ&r-secutrialr-1.1.1-r42hd8ed1ab_0.conda”h+Œ 63758bf54eafcdba4e477d4071326c24”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-secutrialr-1.1.1-r42hd8ed1ab_0.conda”h0Œ@887222ed51ded24166ad184b4c332cbb2b01e6e5af1a05e1b0e73536dc0e2644”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-haven >=2.2.0”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-readxl”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙl~ÒòhEJÇI hFˆubh)”}”(hŒr-see”h#Œ0.8.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-see-0.8.0-r41hc72bb7e_0.conda”h+Œ f1441c475d5da48c68ce2ab964880081”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-see-0.8.0-r41hc72bb7e_0.conda”h0Œ@9ab97d013bf4d02e4b8fc7761b4b412fc1810d13dd9d1cdf94a2b433fe69bfdc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayestestr >=0.13.0”Œr-correlation >=0.8.3”Œr-datawizard >=0.6.4”Œr-effectsize >=0.8.2”Œr-ggplot2 >=3.4.0”Œr-insight >=0.18.8”Œr-modelbased >=0.8.5”Œr-parameters >=0.20.0”Œr-performance >=0.10.1”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙŽTí‘hEJñ&	 hFˆubh)”}”(hŒr-see”h#Œ0.8.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-see-0.8.0-r42hc72bb7e_0.conda”h+Œ ff2afe8a60b9560b00bf203dd4ac1944”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-see-0.8.0-r42hc72bb7e_0.conda”h0Œ@d8cadabde0ffd6c93f6168201a4da652687a56aa0fbd9170973e4d7033594f2c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr >=0.13.0”Œr-correlation >=0.8.3”Œr-datawizard >=0.6.4”Œr-effectsize >=0.8.2”Œr-ggplot2 >=3.4.0”Œr-insight >=0.18.8”Œr-modelbased >=0.8.5”Œr-parameters >=0.20.0”Œr-performance >=0.10.1”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙŽWc…hEJ"	 hFˆubh)”}”(hŒr-segmented”h#Œ1.6_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-segmented-1.6_4-r41hc72bb7e_0.conda”h+Œ ea11a32e171c5c195486b51ff49805e5”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-segmented-1.6_4-r41hc72bb7e_0.conda”h0Œ@6beaddbbefed94e77c719cf3991a05bd793bdbf2590efde8846d0af65c94845a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-nlme”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙXÓÆ¨hEJN1 hFˆubh)”}”(hŒr-segmented”h#Œ1.6_4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-segmented-1.6_4-r42hc72bb7e_0.conda”h+Œ d7dd145117b07bcb6137929fb100668a”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-segmented-1.6_4-r42hc72bb7e_0.conda”h0Œ@f51341a654b2386d219cb9238dab2e21abe46b22143b8b29023f260a8d5adb5b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-nlme”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙY#×
hEJU. hFˆubh)”}”(hŒr-segmented”h#Œ1.6_4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-segmented-1.6_4-r42hc72bb7e_1.conda”h+Œ 13c2feb2dcf923b142bebaad95cdc2cd”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-segmented-1.6_4-r42hc72bb7e_1.conda”h0Œ@a339dc7f3b12b3702cfd4c6cee205fbfd9cfb8041a8f51cff519c71c1d33f4c3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-nlme”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"‹",záhEJs1 hFˆubh)”}”(hŒr-segmented”h#Œ1.6_4”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-segmented-1.6_4-r43hc72bb7e_1.conda”h+Œ a8e1b1541cf9643faf8597a9f7ccc6f9”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-segmented-1.6_4-r43hc72bb7e_1.conda”h0Œ@041ccd2fa83a257ccf022db4be32762481de0266169788c363bd2a883eba5183”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-mass”Œr-nlme”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"‹"G®hEJQ0 hFˆubh)”}”(hŒ	r-selectr”h#Œ0.4_2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-selectr-0.4_2-r42hc72bb7e_3.conda”h+Œ 797e58272dca8e284fdd4003cd261d62”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-selectr-0.4_2-r42hc72bb7e_3.conda”h0Œ@be8896e912a629dcdaedda675495e26a9ef5450bdb652a2ee63db9a593b50159”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r6”Œ	r-stringr”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"„yÐÔþhEJÆm hFˆubh)”}”(hŒ	r-selectr”h#Œ0.4_2”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ#r-selectr-0.4_2-r43hc72bb7e_3.conda”h+Œ 735d0eb02604113a4ba423df2f14c574”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-selectr-0.4_2-r43hc72bb7e_3.conda”h0Œ@42a05db6957682319548e7273af01da4c6a729e8e6281581b87d5f083f184913”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-r6”Œ	r-stringr”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"„f_;dhEJÞl hFˆubh)”}”(hŒ
r-semtools”h#Œ0.5_6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-semtools-0.5_6-r42hc72bb7e_2.conda”h+Œ 52a73493095869fdfade496f6f8f1ed4”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-semtools-0.5_6-r42hc72bb7e_2.conda”h0Œ@9c27c99a2ba886538c37976e68ae4c56969960419330a546dea80b161224d167”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lavaan >=0.6_5”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"åÞÚ°!hEJ9Ê* hFˆubh)”}”(hŒ
r-semtools”h#Œ0.5_6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-semtools-0.5_6-r43hc72bb7e_2.conda”h+Œ 584170374e0b1ef9111580aabeec866b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-semtools-0.5_6-r43hc72bb7e_2.conda”h0Œ@ddfdeb38bdece22e8921a7665c856d02c8ca93365738ebfb6ed91b63c41530ce”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-lavaan >=0.6_5”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"åÙ˜r°hEJfâ* hFˆubh)”}”(hŒr-sen2r”h#Œ1.5.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-sen2r-1.5.4-r41hc72bb7e_0.conda”h+Œ 510c62f74fa360714eb996870a3b87b3”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sen2r-1.5.4-r41hc72bb7e_0.conda”h0Œ@cf33a414260cc77cc98513fff5d1dfdee9c3f6bb5f121d9801c0a10ead745c1a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-doparallel”Œ	r-foreach”Œr-geojsonio”Œr-httr”Œ
r-jsonlite”Œr-raster”Œ
r-rcpptoml”Œr-rgdal”Œr-sf >=0.9.2”Œr-stars >=0.4.1”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØî	‡¾whEJ.Ã  hFˆubh)”}”(hŒr-sen2r”h#Œ1.5.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-sen2r-1.5.4-r42hc72bb7e_0.conda”h+Œ 923cb31be9f493b1de07ac146011025a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sen2r-1.5.4-r42hc72bb7e_0.conda”h0Œ@c07fb632212902c71ee74ddc7ca13f7114705cd4cb039e3c8859f9426c46d1f2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-doparallel”Œ	r-foreach”Œr-geojsonio”Œr-httr”Œ
r-jsonlite”Œr-raster”Œ
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GPL (>= 3)”hBŒGPL3”hDGAÙ"s¤®hEJø hFˆubh)”}”(hŒr-shape”h#Œ1.4.6”h%Œr43ha770c72_2”h'Khhh(h)hŒ!r-shape-1.4.6-r43ha770c72_2.conda”h+Œ 67cba4db35a3c84e2ad52c470c61fcc4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-shape-1.4.6-r43ha770c72_2.conda”h0Œ@703746590fc43deadac04d981bd51b076a1976fb622500e5bc70598ae99abc79”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
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r-shidashi”h#Œ0.1.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-shidashi-0.1.5-r42hc72bb7e_0.conda”h+Œ 8183ca6e0ccfdfd9805a6b26bdfdeb63”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-shidashi-0.1.5-r42hc72bb7e_0.conda”h0Œ@2b231c6c2a36e08953124fd6815c94b9deaf09e9894c2f282138769a192996dc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest >=0.6.27”Œr-fastmap >=1.1.0”Œr-formatr >=1.11”Œr-httr >=1.4.2”Œr-jsonlite >=1.7.2”Œr-shiny >=1.7.0”Œr-yaml >=2.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ)¦ÚÐåhEJM hFˆubh)”}”(hŒr-shinipsum”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-shinipsum-0.1.0-r41hc72bb7e_0.conda”h+Œ fee9319c7c39790fe453b2ed21926333”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-shinipsum-0.1.0-r41hc72bb7e_0.conda”h0Œ@1b1f3db80e8b6b6de5191938d77c6782a6ff6c46742f8b3b2427c3804691a82e”h2NhNh3(Œ	r-attempt”Œr-base >=4.1,<4.2.0a0”Œr-dt”Œ
r-dygraphs”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-plotly”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÒÈ'\)hEJ' hFˆubh)”}”(hŒr-shinipsum”h#Œ0.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-shinipsum-0.1.0-r42hc72bb7e_0.conda”h+Œ a6d174b6b045638c1caf315fe48e8f4d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-shinipsum-0.1.0-r42hc72bb7e_0.conda”h0Œ@066c70c84efcafed4d130a80154b31c27555c6e324403b5fc556c7e47deaf502”h2NhNh3(Œ	r-attempt”Œr-base >=4.2,<4.3.0a0”Œr-dt”Œ
r-dygraphs”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-plotly”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÒÉ33hEJü' hFˆubh)”}”(hŒr-shiny”h#Œ1.7.4”h%Œr41h785f33e_0”h'K hhh(h)hŒ!r-shiny-1.7.4-r41h785f33e_0.conda”h+Œ 7c478737dee9022c8dd03c2f2b504852”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-shiny-1.7.4-r41h785f33e_0.conda”h0Œ@aed5190b9d10a233e8b451f312782b9f743e66803a177c3cd47cf14728fcd4d6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bslib >=0.3.0”Œr-cachem”Œr-commonmark >=1.7”Œr-crayon”Œ
r-ellipsis”Œr-fastmap >=1.1.0”Œr-fontawesome >=0.2.1”Œr-glue >=1.3.2”Œr-htmltools >=0.5.2”Œr-httpuv >=1.5.2”Œr-jsonlite >=0.9.16”Œr-later >=1.0.0”Œr-lifecycle >=0.2.0”Œr-mime >=0.3”Œr-promises >=1.1.0”Œ
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r-r6 >=2.0”Œr-rlang >=0.4.10”Œr-sourcetools”Œr-withr”Œr-xtable”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØæÙF½ó¶hEJm
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r-promises”Œr-shiny >=1.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"ì[”Ý/hEJ\ hFˆubh)”}”(hŒr-shinydashboard”h#Œ0.7.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ*r-shinydashboard-0.7.2-r43hc72bb7e_2.conda”h+Œ 6265ea4c10d4078531007ad5e04521b6”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-shinydashboard-0.7.2-r43hc72bb7e_2.conda”h0Œ@fa076dd0e70c499105a567eaeec628743beb763e1a844bbfd43b23b25c263efe”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-htmltools >=0.2.6”Œ
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r-jsonlite”Œr-shiny >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤Ý‰º^hEJ—¿ hFˆubh)”}”(hŒ	r-shinyjs”h#Œ2.1.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-shinyjs-2.1.0-r43hc72bb7e_2.conda”h+Œ d8ba3cf368c808379958f2c8b83ed4c5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-shinyjs-2.1.0-r43hc72bb7e_2.conda”h0Œ@57f7c86afd95d648a8a779a90707b55ebd0636a41b5e3009570f5942268efffa”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-digest >=0.6.8”Œr-htmltools >=0.2.9”Œ
r-jsonlite”Œr-shiny >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤ñv5?hEJ†Á hFˆubh)”}”(hŒr-shinymobile”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-shinymobile-1.0.0-r41hc72bb7e_0.conda”h+Œ 4e37ef35791417aef294f8a5f40f5dbf”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinymobile-1.0.0-r41hc72bb7e_0.conda”h0Œ@e53108f36ba288f8464b7cac1b79c70ce9f85ef5afccb1cd80b4b3b6adc4b935”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gplots”Œr-htmltools”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-shiny”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØàL-l‹hEJ#b hFˆubh)”}”(hŒr-shinymobile”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-shinymobile-1.0.0-r42hc72bb7e_0.conda”h+Œ 32a243c75a7d5809d22b228d7b100272”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinymobile-1.0.0-r42hc72bb7e_0.conda”h0Œ@7dde343652d6dfbde25a2e5ac378873e77f3e0d140c6d517472293ba9d109527”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-gplots”Œr-htmltools”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-shiny”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØàL%Ñ©ühEJùm hFˆubh)”}”(hŒr-shinystan”h#Œ2.6.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-shinystan-2.6.0-r42hc72bb7e_2.conda”h+Œ 832fd2b58725d7a6c2d072c434ed5066”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-shinystan-2.6.0-r42hc72bb7e_2.conda”h0Œ@d2e393f8a153263f32946d6e83dfc5d00db162a0cdf8ff3bb052c8d8fa40cee0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayesplot >=1.5.0”Œr-colourpicker”Œ
r-dt >=0.2”Œr-dygraphs >=1.1.1.2”Œr-ggplot2 >=2.1.1”Œr-gridextra”Œr-gtools”Œr-markdown >=0.7.4”Œ
r-reshape2”Œr-rsconnect >=0.4.2”Œr-rstan >=2.17.1”Œr-shiny >=1.0.3”Œr-shinyjs >=0.6.0”Œr-shinythemes >=1.0.1”Œr-threejs >=0.2.1”Œr-xtable”Œr-xts >=0.9_7”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÙ"ìOêJhEJ`” hFˆubh)”}”(hŒr-shinystan”h#Œ2.6.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-shinystan-2.6.0-r43hc72bb7e_2.conda”h+Œ 493b2083be919842e54c43b0477005c0”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-shinystan-2.6.0-r43hc72bb7e_2.conda”h0Œ@161a1096e8bdbc73bb54e6533d7136c925f85cf4a3f3ba5cb60e2cb16538a977”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-bayesplot >=1.5.0”Œr-colourpicker”Œ
r-dt >=0.2”Œr-dygraphs >=1.1.1.2”Œr-ggplot2 >=2.1.1”Œr-gridextra”Œr-gtools”Œr-markdown >=0.7.4”Œ
r-reshape2”Œr-rsconnect >=0.4.2”Œr-rstan >=2.17.1”Œr-shiny >=1.0.3”Œr-shinyjs >=0.6.0”Œr-shinythemes >=1.0.1”Œr-threejs >=0.2.1”Œr-xtable”Œr-xts >=0.9_7”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÙ"ìS€£×hEJÝ” hFˆubh)”}”(hŒr-shinytest”h#Œ1.5.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-shinytest-1.5.3-r41hc72bb7e_0.conda”h+Œ 7026b531b3f839c70bbd771760a76674”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-shinytest-1.5.3-r41hc72bb7e_0.conda”h0Œ@da873669a93a3d1b87a987cac56e013a55e468ca09704329614253e5dca936ec”h2NhNh3(Œ	phantomjs”Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-callr >=2.0.3”Œr-crayon”Œ	r-debugme”Œr-digest”Œr-htmlwidgets”Œr-httpuv”Œr-httr”Œ
r-jsonlite”Œr-parsedate”Œr-pingr”Œr-r6”Œ	r-rematch”Œr-rstudioapi >=0.8.0.9002”Œr-shiny >=1.0.4”Œr-testthat >=1.0.0”Œr-webdriver >=1.0.5”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ™|VhEJ¶% hFˆubh)”}”(hŒr-shinytest”h#Œ1.5.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-shinytest-1.5.3-r42hc72bb7e_0.conda”h+Œ a494e294d45b1e7369d876065d23e9df”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-shinytest-1.5.3-r42hc72bb7e_0.conda”h0Œ@2c24dfc531fe25a753acda72c9178a838bfaefac4690b6bdff2299eef890052d”h2NhNh3(Œ	phantomjs”Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-callr >=2.0.3”Œr-crayon”Œ	r-debugme”Œr-digest”Œr-htmlwidgets”Œr-httpuv”Œr-httr”Œ
r-jsonlite”Œr-parsedate”Œr-pingr”Œr-r6”Œ	r-rematch”Œr-rstudioapi >=0.8.0.9002”Œr-shiny >=1.0.4”Œr-testthat >=1.0.0”Œr-webdriver >=1.0.5”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ™oÉ‰7hEJd! hFˆubh)”}”(hŒr-shinythemes”h#Œ1.2.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-shinythemes-1.2.0-r42hc72bb7e_2.conda”h+Œ 46c9a328ba9e95c11b894390465bde03”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinythemes-1.2.0-r42hc72bb7e_2.conda”h0Œ@ce85e181deed01086c9d8dddfc516961e3709948295bf5f93b72492c1c676da2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-shiny >=0.11”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¹:Ï®hEJ>+	 hFˆubh)”}”(hŒr-shinythemes”h#Œ1.2.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-shinythemes-1.2.0-r43hc72bb7e_2.conda”h+Œ 6ca10b02f9fddc178dad01b41bad086d”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinythemes-1.2.0-r43hc72bb7e_2.conda”h0Œ@c515cbb0a2625c495eed07ac094a570c3b563d4f18d9c8ee7a33785741bec649”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-shiny >=0.11”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¹"í/hEJÚ0	 hFˆubh)”}”(hŒr-shinywidgets”h#Œ0.7.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-shinywidgets-0.7.6-r41hc72bb7e_0.conda”h+Œ 860a4addcd214e8ebad7483640f76d30”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinywidgets-0.7.6-r41hc72bb7e_0.conda”h0Œ@c4969cf4517de34508e4d9a66ad66e91ff669560eb708528195d1d94143e12c1”h2NhNh3(Œ	r-anytime”Œr-base >=4.1,<4.2.0a0”Œr-bslib”Œr-htmltools >=0.5.1”Œ
r-jsonlite”Œr-rlang”Œr-sass”Œr-shiny >=1.6.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØî×7É™šhEJMÐ hFˆubh)”}”(hŒr-shinywidgets”h#Œ0.7.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-shinywidgets-0.7.6-r42hc72bb7e_0.conda”h+Œ fd4910c3c39b7ef580d63b49118214b0”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinywidgets-0.7.6-r42hc72bb7e_0.conda”h0Œ@a9ce9999e52ff741887f82ac8c5ab87c4ef769a88170c8202aa35e1ff093e69e”h2NhNh3(Œ	r-anytime”Œr-base >=4.2,<4.3.0a0”Œr-bslib”Œr-htmltools >=0.5.1”Œ
r-jsonlite”Œr-rlang”Œr-sass”Œr-shiny >=1.6.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØî×<‡+hEJxÖ hFˆubh)”}”(hŒr-shinywidgets”h#Œ0.7.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-shinywidgets-0.7.6-r42hc72bb7e_1.conda”h+Œ 0ab8e16d595db070c3ac7bd86dfc278c”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinywidgets-0.7.6-r42hc72bb7e_1.conda”h0Œ@6c62935da7c6bc9eacd978fd07a68d68a9aa2ffb5bf723a795daf2c52772ed48”h2NhNh3(Œ	r-anytime”Œr-base >=4.2,<4.3.0a0”Œr-bslib”Œr-htmltools >=0.5.1”Œ
r-jsonlite”Œr-rlang”Œr-sass”Œr-shiny >=1.6.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Ç!*ÀƒhEJBÓ hFˆubh)”}”(hŒr-shinywidgets”h#Œ0.7.6”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ(r-shinywidgets-0.7.6-r43hc72bb7e_1.conda”h+Œ 85d15c3c19ebcacdd057e39d0509fee3”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinywidgets-0.7.6-r43hc72bb7e_1.conda”h0Œ@4f0443938928e312ba319a742347171525ca4057b2cadf27f15bc99ea28a9666”h2NhNh3(Œ	r-anytime”Œr-base >=4.3,<4.4.0a0”Œr-bslib”Œr-htmltools >=0.5.1”Œ
r-jsonlite”Œr-rlang”Œr-sass”Œr-shiny >=1.6.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Ç Ã×
hEJÞá hFˆubh)”}”(hŒr-showtextdb”h#Œ3.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-showtextdb-3.0-r42hc72bb7e_2.conda”h+Œ ce47f193a683c6db8d78fb6eb23103b8”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-showtextdb-3.0-r42hc72bb7e_2.conda”h0Œ@850518544081ecb86ebec18fa35044da97f07e93f56864a0dd66be993ce68511”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-sysfonts >=0.7.1”†”h9hºh@ŒApache (>= 2.0)”hBŒAPACHE”hDGAÙ"ýPÙ™šhEJ×6 hFˆubh)”}”(hŒr-showtextdb”h#Œ3.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-showtextdb-3.0-r43hc72bb7e_2.conda”h+Œ 3fb2ce8a8b89b9d54bd5f75ef513967d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-showtextdb-3.0-r43hc72bb7e_2.conda”h0Œ@7e9ce1744e28e63fde1c6a0f7b93bd0439378471d6e7810892b2c3b80af439ea”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-sysfonts >=0.7.1”†”h9hºh@ŒApache (>= 2.0)”hBŒAPACHE”hDGAÙ"ýE‰‰7hEJ7 hFˆubh)”}”(hŒr-simplevis”h#Œ7.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-simplevis-7.1.0-r41hc72bb7e_0.conda”h+Œ 5074d13c74d88d3cd8575f71c1f1788b”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-simplevis-7.1.0-r41hc72bb7e_0.conda”h0Œ@533e755bf93c386c316a55bf4f457c583379c648af1b2091ef3a397d4a75de87”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-htmlwidgets”Œr-leafem”Œ	r-leaflet”Œ	r-leafpop”Œr-lubridate”Œ
r-magrittr”Œr-plotly”Œr-purrr”Œr-rlang”Œ	r-santoku”Œr-scales”Œr-sf”Œr-shiny”Œr-snakecase”Œr-stars”Œ	r-stringr”Œr-tidyr”Œr-tidyselect”Œ	r-viridis”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙw„ì‹DhEJ§t hFˆubh)”}”(hŒr-simplevis”h#Œ7.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-simplevis-7.1.0-r42hc72bb7e_0.conda”h+Œ f425a623e79b1dc6f09cdb00bf8fe778”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-simplevis-7.1.0-r42hc72bb7e_0.conda”h0Œ@6de9148a79f32e3328e0575c634a8bda470cf28b5b866d6d4e12e710ff7378f8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-htmlwidgets”Œr-leafem”Œ	r-leaflet”Œ	r-leafpop”Œr-lubridate”Œ
r-magrittr”Œr-plotly”Œr-purrr”Œr-rlang”Œ	r-santoku”Œr-scales”Œr-sf”Œr-shiny”Œr-snakecase”Œr-stars”Œ	r-stringr”Œr-tidyr”Œr-tidyselect”Œ	r-viridis”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙw…›hEJqw hFˆubh)”}”(hŒr-sirius-ms”h#Œ0.9”h%Œr42ha770c72_0”h'K hhh(h)hŒ#r-sirius-ms-0.9-r42ha770c72_0.conda”h+Œ 6be9860365915759077a6b01a6917d8e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-sirius-ms-0.9-r42ha770c72_0.conda”h0Œ@16ae485c58ac7ab795ad0a5999d04192b85a63898e412eccee33e53e65d15cde”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-httr2”Œ
r-jsonlite”Œr-r6”Œ	r-stringr”Œ	sirius-ms”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙç³NhEJ$M hFˆubh)”}”(hŒr-sjlabelled”h#Œ1.2.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-sjlabelled-1.2.0-r42hc72bb7e_2.conda”h+Œ 490301e5652988a75dfa51a2abcce24c”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sjlabelled-1.2.0-r42hc72bb7e_2.conda”h0Œ@ff03f298f3e123f59c300289acfd1e9a3dac06709aeaf5a130e5df5941f9dfc5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-datawizard”Œ	r-insight”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ÙPÊÐåhEJO¸ hFˆubh)”}”(hŒr-sjlabelled”h#Œ1.2.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-sjlabelled-1.2.0-r43hc72bb7e_2.conda”h+Œ 926b950068f966ceab7b30d6fce00b01”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sjlabelled-1.2.0-r43hc72bb7e_2.conda”h0Œ@a904bc1be43c48e8b777eed693f1b5b807c0e838be2d2ae2ee1ca3f95f1d082b”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-datawizard”Œ	r-insight”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ÙQCçmhEJó» hFˆubh)”}”(hŒr-sjplot”h#Œ2.8.14”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-sjplot-2.8.14-r41hc72bb7e_0.conda”h+Œ 4a21cdf92e7b536307cbdd37009fb9c5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-sjplot-2.8.14-r41hc72bb7e_0.conda”h0Œ@9cd24ece7fd5db42d635d880469aa4fb551e49bef66d6c42c253aeefad66c4fe”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayestestr”Œr-datawizard”Œr-dplyr”Œr-effectsize”Œr-ggeffects”Œr-ggplot2 >=3.2.0”Œ	r-insight”Œr-knitr”Œr-mass”Œr-parameters”Œr-performance”Œr-purrr”Œr-rlang”Œr-scales”Œr-sjlabelled >=1.1.2”Œr-sjmisc >=2.8.2”Œr-sjstats >=0.17.8”Œr-tidyr >=1.0.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙb†º^hEJm hFˆubh)”}”(hŒr-sjplot”h#Œ2.8.14”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-sjplot-2.8.14-r42hc72bb7e_0.conda”h+Œ ed04f314d38c4880019e90cd6bcb9b7e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-sjplot-2.8.14-r42hc72bb7e_0.conda”h0Œ@e3c068429a538128ef6146396ce253de94c97e4565d01073379c00c2a55d8977”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr”Œr-datawizard”Œr-dplyr”Œr-effectsize”Œr-ggeffects”Œr-ggplot2 >=3.2.0”Œ	r-insight”Œr-knitr”Œr-mass”Œr-parameters”Œr-performance”Œr-purrr”Œr-rlang”Œr-scales”Œr-sjlabelled >=1.1.2”Œr-sjmisc >=2.8.2”Œr-sjstats >=0.17.8”Œr-tidyr >=1.0.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙb?®hEJ÷‚ hFˆubh)”}”(hŒ	r-sjstats”h#Œ0.18.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-sjstats-0.18.2-r41hc72bb7e_0.conda”h+Œ ae2b99053b96b44a171e8f56cf631674”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sjstats-0.18.2-r41hc72bb7e_0.conda”h0Œ@3dfe6a0bbd356bae5d8c19d57c173815f282912f0c71ddf2289c3271fe46dd0f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayestestr”Œr-broom”Œr-dplyr”Œr-effectsize”Œ	r-emmeans”Œ	r-insight”Œr-lme4”Œ
r-magrittr”Œr-mass”Œr-modelr”Œr-parameters”Œr-performance”Œr-purrr”Œr-rlang”Œr-sjlabelled”Œr-sjmisc”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÞdõ?}hEJaˆ hFˆubh)”}”(hŒ	r-sjstats”h#Œ0.18.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-sjstats-0.18.2-r42hc72bb7e_0.conda”h+Œ 422efb26589e88012a942bda32a5a37d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sjstats-0.18.2-r42hc72bb7e_0.conda”h0Œ@0c769a5fd7c6bce0a1de97bbceb94fddd93c2f0607c8c812ed8418bb5f7acd03”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayestestr”Œr-broom”Œr-dplyr”Œr-effectsize”Œ	r-emmeans”Œ	r-insight”Œr-lme4”Œ
r-magrittr”Œr-mass”Œr-modelr”Œr-parameters”Œr-performance”Œr-purrr”Œr-rlang”Œr-sjlabelled”Œr-sjmisc”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÞdìø“uhEJì‡ hFˆubh)”}”(hŒr-skimr”h#Œ2.1.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-skimr-2.1.5-r41hc72bb7e_0.conda”h+Œ 3d528adea10dc3288bbeab83ecede863”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-skimr-2.1.5-r41hc72bb7e_0.conda”h0Œ@ea10c515c1a0da3aff77e189f9438b9105eda0841921da0c794db0747c66ca4d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dplyr >=0.8.0”Œr-knitr >=1.2”Œr-magrittr >=1.5”Œr-pillar >=1.6.4”Œr-purrr”Œr-repr”Œr-rlang >=0.3.1”Œr-stringr >=1.1”Œr-tibble >=2.0.0”Œr-tidyr >=1.0”Œr-tidyselect >=1.0.0”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØévh«dZhEJyu hFˆubh)”}”(hŒr-skimr”h#Œ2.1.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-skimr-2.1.5-r42hc72bb7e_0.conda”h+Œ c0c14d8cf22ad1a13f74136a9a213954”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-skimr-2.1.5-r42hc72bb7e_0.conda”h0Œ@fffb1aac4330aafe920a26d9d444e3e4df2fbac7749259e15ad5b86c7c084881”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dplyr >=0.8.0”Œr-knitr >=1.2”Œr-magrittr >=1.5”Œr-pillar >=1.6.4”Œr-purrr”Œr-repr”Œr-rlang >=0.3.1”Œr-stringr >=1.1”Œr-tibble >=2.0.0”Œr-tidyr >=1.0”Œr-tidyselect >=1.0.0”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØév`ÚŸ¾hEJ1y hFˆubh)”}”(hŒ	r-skmeans”h#Œ0.2_15”h%Œr41ha770c72_0”h'K hhh(h)hŒ$r-skmeans-0.2_15-r41ha770c72_0.conda”h+Œ 2e58f166502d9e1b3f7df6b0dc37f000”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-skmeans-0.2_15-r41ha770c72_0.conda”h0Œ@dacf3445be177ac03e57ea34fc3270367561b2f537fbb61bae5212bfd6af9b81”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clue >=0.3_39”Œ	r-cluster”Œr-slam >=0.1_31”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØö‘ãT“hEJ—™ hFˆubh)”}”(hŒ	r-skmeans”h#Œ0.2_15”h%Œr42ha770c72_0”h'K hhh(h)hŒ$r-skmeans-0.2_15-r42ha770c72_0.conda”h+Œ 7133f3a0d22d02d81bf244897f6df96a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-skmeans-0.2_15-r42ha770c72_0.conda”h0Œ@c0586123e92792047f6cd9e0e338fe564ad8a684abc8907f77b84b72099570ae”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-clue >=0.3_39”Œ	r-cluster”Œr-slam >=0.1_31”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØö‘ãËdZhEJâ˜ hFˆubh)”}”(hŒr-slickr”h#Œ0.6.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ"r-slickr-0.6.0-r41h785f33e_0.conda”h+Œ 872a1d581db977b25889f9457db19909”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-slickr-0.6.0-r41h785f33e_0.conda”h0Œ@f7a3c662bfa04e463a5782d791bf5f3042a540ca351dee898b97679975364d6e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-checkmate”Œr-htmltools”Œr-htmlwidgets”Œr-lifecycle”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØèàzË"ÑhEJÃB hFˆubh)”}”(hŒr-slickr”h#Œ0.6.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ"r-slickr-0.6.0-r42h785f33e_0.conda”h+Œ ccae6145d9bddbdc7ecf2fdfebe2d7ee”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-slickr-0.6.0-r42h785f33e_0.conda”h0Œ@86c17f014b2ed91fc7bb480d0f3ddc60a874d49a9185b4fdffeedc4862155611”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-checkmate”Œr-htmltools”Œr-htmlwidgets”Œr-lifecycle”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØèàj¶ffhEJ¯D hFˆubh)”}”(hŒ
r-smarteda”h#Œ0.3.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-smarteda-0.3.9-r41hc72bb7e_0.conda”h+Œ 07dde522516a284919e712ef56e496bf”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-smarteda-0.3.9-r41hc72bb7e_0.conda”h0Œ@3578745ddd394f1531adf2ea8020cca70b62f72c7bda3d4a6ef73bf951badc01”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-ggally”Œ	r-ggplot2”Œr-gridextra”Œr-islr >=1.0”Œr-qpdf”Œr-rmarkdown”Œ
r-sampling”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØã ˆ¨´9hEJ¬À hFˆubh)”}”(hŒ
r-smarteda”h#Œ0.3.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-smarteda-0.3.9-r42hc72bb7e_0.conda”h+Œ 720835791370bae10fe5ad3e8ef6945d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-smarteda-0.3.9-r42hc72bb7e_0.conda”h0Œ@4c62bb432beaf9a524b592603006a98c80957d5ac7907986563ac722376b8aac”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-ggally”Œ	r-ggplot2”Œr-gridextra”Œr-islr >=1.0”Œr-qpdf”Œr-rmarkdown”Œ
r-sampling”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØã ˆ|IºhEJ~º hFˆubh)”}”(hŒ
r-smdocker”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-smdocker-0.1.4-r41hc72bb7e_0.conda”h+Œ 232af39fb761973b774ea7c60a91c7c2”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-smdocker-0.1.4-r41hc72bb7e_0.conda”h0Œ@bd161f020c3988903bb0b0c55e598de1229e24ca9b97c9b7cbf571d40c27b69d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-paws.compute”Œr-paws.developer.tools”Œr-paws.machine.learning”Œr-paws.management”Œr-paws.security.identity”Œr-paws.storage”Œr-uuid”Œr-zip”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ ˜Å?}hEJ=& hFˆubh)”}”(hŒ
r-smdocker”h#Œ0.1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-smdocker-0.1.4-r42hc72bb7e_0.conda”h+Œ 9290760e69e458f8822ebd890ace2e38”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-smdocker-0.1.4-r42hc72bb7e_0.conda”h0Œ@b5b738fe564688276941851e27e93a06a5a58ff9dced118a70a352a7d1d34880”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-paws.compute”Œr-paws.developer.tools”Œr-paws.machine.learning”Œr-paws.management”Œr-paws.security.identity”Œr-paws.storage”Œr-uuid”Œr-zip”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ €ô‹DhEJÏ& hFˆubh)”}”(hŒr-sn”h#Œ2.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-sn-2.1.1-r41hc72bb7e_0.conda”h+Œ bf46d6e54fdabfdabd4c8702e082dfbb”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-sn-2.1.1-r41hc72bb7e_0.conda”h0Œ@65a987b822cee8f8fb3fa28ecbd9289201671010f60cae3b96d509edf98f1c92”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mnormt >=2.0.0”Œ
r-numderiv”Œ
r-quantreg”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙbcÎÙhEJ|ø hFˆubh)”}”(hŒr-sn”h#Œ2.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-sn-2.1.1-r42hc72bb7e_0.conda”h+Œ 26b3c4d0f0e9d1d49bd9b3ba5ef5664e”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-sn-2.1.1-r42hc72bb7e_0.conda”h0Œ@6015ee3b1bbdad2e16d24d9f45f8b9ac37148393188ab211453f5effae4d73ce”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mnormt >=2.0.0”Œ
r-numderiv”Œ
r-quantreg”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙbcG®hEJQû hFˆubh)”}”(hŒr-snakecase”h#Œ0.11.0”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ&r-snakecase-0.11.0-r42hc72bb7e_4.conda”h+Œ f754d1d1bc6b1ed936afc89055bf030b”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-snakecase-0.11.0-r42hc72bb7e_4.conda”h0Œ@6c00f62e396be8f5aad4b5ac3efb3b41cf1de55008ab9c0cbb2eb8a4b8a9fafe”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-stringi”Œ	r-stringr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¸y£hEJÞ¬ hFˆubh)”}”(hŒr-snakecase”h#Œ0.11.0”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ&r-snakecase-0.11.0-r43hc72bb7e_4.conda”h+Œ d9ba0f46947a0543fd13caa97191d296”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-snakecase-0.11.0-r43hc72bb7e_4.conda”h0Œ@ae7cdd4d37a66259e2f51e0fb6fe23ebfb799a3a86b19378c22efe8b835d5372”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œ	r-stringi”Œ	r-stringr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"¸?}hEJñ¯ hFˆubh)”}”(hŒr-snow”h#Œ0.4_4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-snow-0.4_4-r42hc72bb7e_2.conda”h+Œ 97cc50b630391cbc89ea70425ebb6ade”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-snow-0.4_4-r42hc72bb7e_2.conda”h0Œ@4bc05c9eb1eab50042f6a41a29d57efa59f6319cdbe038ce336288f67bca6d25”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"¸á°1'hEJœÁ hFˆubh)”}”(hŒr-snow”h#Œ0.4_4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ r-snow-0.4_4-r43hc72bb7e_2.conda”h+Œ ceedb5263134a3100813b84c32747c78”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-snow-0.4_4-r43hc72bb7e_2.conda”h0Œ@c349333ee7ce77c17d1c10454eb3d5ae6bdb953eaa0d78555fc50fdd618becd8”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"¸àf{hEJJÀ hFˆubh)”}”(hŒ
r-snowfall”h#Œ1.84_6.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-snowfall-1.84_6.2-r42hc72bb7e_2.conda”h+Œ 8a22a6393b500c50276a584c0d149611”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-snowfall-1.84_6.2-r42hc72bb7e_2.conda”h0Œ@27cb1730222dc8cb1eba826ae69ae2590cc293bcd1528de3bf32d61f06b73825”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-snow”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ìUWl‹hEJð hFˆubh)”}”(hŒ
r-snowfall”h#Œ1.84_6.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-snowfall-1.84_6.2-r43hc72bb7e_2.conda”h+Œ 0d911a0bb4d6019af24da83284f69e19”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-snowfall-1.84_6.2-r43hc72bb7e_2.conda”h0Œ@4a96375cdb441427c8994ff1d238423ecf615f7d6e16900e46ba2ef5e0dcfb03”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-snow”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ìH` ÅhEJˆî hFˆubh)”}”(hŒ
r-snpassoc”h#Œ2.1_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-snpassoc-2.1_0-r41hc72bb7e_0.conda”h+Œ 4545f3438b24b393e89122abef268afb”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-snpassoc-2.1_0-r41hc72bb7e_0.conda”h0Œ@d9d7358c4283bc57e71241032886a09b69d17ec970600957ebd3c864d0d01200”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-haplo.stats”Œ	r-mvtnorm”Œr-plyr”Œr-poisbinom”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØæ¦ã5?hEJ-þ hFˆubh)”}”(hŒ
r-snpassoc”h#Œ2.1_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-snpassoc-2.1_0-r41hc72bb7e_1.conda”h+Œ d51456893c43ca3a2cd2510327757297”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-snpassoc-2.1_0-r41hc72bb7e_1.conda”h0Œ@fa89cc442738932df8b3ff28c4b13546d671b3855f122c5aba0891191a53e6c0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-haplo.stats”Œ	r-mvtnorm”Œr-plyr”Œr-poisbinom”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØæ¨ÍÂhEJ(  hFˆubh)”}”(hŒ
r-snpassoc”h#Œ2.1_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-snpassoc-2.1_0-r42hc72bb7e_0.conda”h+Œ 032e0045ac819609d2c6ffe915b2ae6a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-snpassoc-2.1_0-r42hc72bb7e_0.conda”h0Œ@4cd55319571308c0dff95e8fc383131f862b581443309b49a8bca7f4401868c5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-haplo.stats”Œ	r-mvtnorm”Œr-plyr”Œr-poisbinom”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØæ¦ß„ZhEJß hFˆubh)”}”(hŒ
r-snpassoc”h#Œ2.1_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-snpassoc-2.1_0-r42hc72bb7e_1.conda”h+Œ 784929f5f00f01d5c111dc5569dd7d5e”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-snpassoc-2.1_0-r42hc72bb7e_1.conda”h0Œ@b1651382dd2d595513575b91e279e1801152db807dbb7c7f31ea15bc0913aa8a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-haplo.stats”Œ	r-mvtnorm”Œr-plyr”Œr-poisbinom”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØæ¨|“hEJ  hFˆubh)”}”(hŒr-soildb”h#Œ2.7.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-soildb-2.7.7-r41hc72bb7e_0.conda”h+Œ 10c2144fb16adc922dbc81a2bda1400d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-soildb-2.7.7-r41hc72bb7e_0.conda”h0Œ@c41e8107f09f35d92a908b3a215293ed845e3a425c9d4d3226f458dbee305c5d”h2NhNh3(Œr-aqp”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-data.table”Œr-dbi”Œr-plyr”Œr-raster”Œ
r-reshape2”Œr-sp”Œr-xml2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙŽ+®éyhEJ‰â hFˆubh)”}”(hŒr-soildb”h#Œ2.7.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-soildb-2.7.7-r42hc72bb7e_0.conda”h+Œ 453f0249613d248c283390e0d5d96b4d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-soildb-2.7.7-r42hc72bb7e_0.conda”h0Œ@69b6717683229dd5c6be8213399c0f1453052d391c047ade8b45e480355acc95”h2NhNh3(Œr-aqp”Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-data.table”Œr-dbi”Œr-plyr”Œr-raster”Œ
r-reshape2”Œr-sp”Œr-xml2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙŽ"R¬hEJ^å hFˆubh)”}”(hŒ	r-solrium”h#Œ1.2.0”h%Œr42h785f33e_2”h'Khhh(h)hŒ#r-solrium-1.2.0-r42h785f33e_2.conda”h+Œ 598986c70e7ca9155829163884ec0b81”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-solrium-1.2.0-r42h785f33e_2.conda”h0Œ@d27797a2c0ca6fbce40b0992432d179ca4019945515fca753e77ddd6884f7541”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.4.0”Œr-dplyr >=0.5.0”Œr-jsonlite >=1.0”Œr-plyr >=1.8.4”Œr-r6”Œr-tibble >=1.4.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ù^@bNhEJÄ: hFˆubh)”}”(hŒ	r-solrium”h#Œ1.2.0”h%Œr43h785f33e_2”h'Khhh(h)hŒ#r-solrium-1.2.0-r43h785f33e_2.conda”h+Œ bc271b2a94b214adaa5c79276e77024a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-solrium-1.2.0-r43h785f33e_2.conda”h0Œ@5095436cd63c29c66e55782639dd03e32915df692b6ddc6f93cfe262a0d062cd”•      h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crul >=0.4.0”Œr-dplyr >=0.5.0”Œr-jsonlite >=1.0”Œr-plyr >=1.8.4”Œr-r6”Œr-tibble >=1.4.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ùh­¡ËhEJÄ, hFˆubh)”}”(hŒ
r-sortable”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-sortable-0.5.0-r41hc72bb7e_0.conda”h+Œ f3f15bcbf8945bf837f67e9c312aa6e2”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sortable-0.5.0-r41hc72bb7e_0.conda”h0Œ@53adb391988b1af0cc7092266cc548b2a05ae676aa54f509e9cb526815828e5b”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œ
r-ellipsis”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-learnr >=0.10.0”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ(h±‰7hEJoM hFˆubh)”}”(hŒ
r-sortable”h#Œ0.5.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-sortable-0.5.0-r42hc72bb7e_0.conda”h+Œ 13c94f6a3c75c4bccf4544847076a189”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sortable-0.5.0-r42hc72bb7e_0.conda”h0Œ@43b2018d5bb9b164fbd10e2689efd140b07f3012abdd861037524931311cfd06”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œ
r-ellipsis”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-learnr >=0.10.0”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ(l6ùÛhEJ`R hFˆubh)”}”(hŒr-sos”h#Œ2.1_7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-sos-2.1_7-r41hc72bb7e_0.conda”h+Œ 206c462d72a31f84098e5655c9a32d57”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-sos-2.1_7-r41hc72bb7e_0.conda”h0Œ@d0cb8a29650a052c08dd93c6d6b83b275486dcc60b789f06718cb51a5286426d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-brew”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙK“9XhEJcœ hFˆubh)”}”(hŒr-sos”h#Œ2.1_7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-sos-2.1_7-r42hc72bb7e_0.conda”h+Œ 1d5845fb2d4bae0aaeb5322e87273e60”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-sos-2.1_7-r42hc72bb7e_0.conda”h0Œ@d699df16dbbe89972f0a333717cdb6aecf7d92d1842ad46fe1d60cf192d09763”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-brew”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙKœ(öhEJ- hFˆubh)”}”(hŒr-spacetime”h#Œ1.3_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-spacetime-1.3_0-r41hc72bb7e_0.conda”h+Œ 905629cf160564b934b3808bb898b013”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spacetime-1.3_0-r41hc72bb7e_0.conda”h0Œ@612f3f94b9d3c07579afd612160bda391fd63c38e66baf9d94cc0008336fa4c9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-intervals”Œ	r-lattice”Œr-sp >=1.1_0”Œr-xts >=0.8_8”Œr-zoo >=1.7_9”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ€º²-hEJÓO+ hFˆubh)”}”(hŒr-spacetime”h#Œ1.3_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-spacetime-1.3_0-r42hc72bb7e_0.conda”h+Œ 9749ed53798a059904004b797eaac979”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spacetime-1.3_0-r42hc72bb7e_0.conda”h0Œ@13a93627bdc9287554b4e8577a67b4da76d70233b216539e780156be054267f2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-intervals”Œ	r-lattice”Œr-sp >=1.1_0”Œr-xts >=0.8_8”Œr-zoo >=1.7_9”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ€®—KÇhEJJ+ hFˆubh)”}”(hŒr-spacetime”h#Œ1.3_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-spacetime-1.3_0-r42hc72bb7e_1.conda”h+Œ 669f5ab35c359984b5f35ab9ca423ea8”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spacetime-1.3_0-r42hc72bb7e_1.conda”h0Œ@399150423001ecf11979e898f9cf88c64eb032e8b61fab4d53ce846cf132779b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-intervals”Œ	r-lattice”Œr-sp >=1.1_0”Œr-xts >=0.8_8”Œr-zoo >=1.7_9”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Ù{çmhEJ=L+ hFˆubh)”}”(hŒr-spacetime”h#Œ1.3_0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-spacetime-1.3_0-r43hc72bb7e_1.conda”h+Œ 19c9271d6271104a625124d797dccb7b”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spacetime-1.3_0-r43hc72bb7e_1.conda”h0Œ@5efa8d05051b292cfc4a3fc622daa45efebc49f770e09a75432ca6d06ef62698”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-intervals”Œ	r-lattice”Œr-sp >=1.1_0”Œr-xts >=0.8_8”Œr-zoo >=1.7_9”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Ù‚~úhEJj²+ hFˆubh)”}”(hŒ
r-sparklyr”h#Œ1.8.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-sparklyr-1.8.1-r41hc72bb7e_0.conda”h+Œ f167416d99a9b359613e927b110301b1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sparklyr-1.8.1-r41hc72bb7e_0.conda”h0Œ@185758a04164f38ab63e478f7d3fbaf4aa3a4da89135cfe29284399646a895e7”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-config >=0.2”Œr-dbi >=0.6_1”Œr-dbplyr >=1.1.0”Œr-digest”Œr-dplyr >=0.7.2”Œr-ellipsis >=0.1.0”Œr-forge”Œ
r-generics”Œ	r-globals”Œr-glue”Œr-httr >=1.2.1”Œr-jsonlite >=1.4”Œr-lifecycle”Œr-openssl >=0.8”Œr-purrr”Œr-r2d3”Œ
r-rappdirs”Œr-rjson >=0.2.20”Œr-rlang >=0.1.4”Œr-rprojroot”Œr-rstudioapi >=0.10”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-uuid”Œr-vctrs”Œr-withr”Œr-xml2”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙÝènE¢hEJ'Ê: hFˆubh)”}”(hŒ
r-sparklyr”h#Œ1.8.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-sparklyr-1.8.1-r42hc72bb7e_0.conda”h+Œ c9f20a601d1fd3cdd547b16a631532cb”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sparklyr-1.8.1-r42hc72bb7e_0.conda”h0Œ@ff7aa3cd84a7bcedc0c1cc2b01e7446d3a062f9023974edd2dc6305a4eafb3cf”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-config >=0.2”Œr-dbi >=0.6_1”Œr-dbplyr >=1.1.0”Œr-digest”Œr-dplyr >=0.7.2”Œr-ellipsis >=0.1.0”Œr-forge”Œ
r-generics”Œ	r-globals”Œr-glue”Œr-httr >=1.2.1”Œr-jsonlite >=1.4”Œr-lifecycle”Œr-openssl >=0.8”Œr-purrr”Œr-r2d3”Œ
r-rappdirs”Œr-rjson >=0.2.20”Œr-rlang >=0.1.4”Œr-rprojroot”Œr-rstudioapi >=0.10”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-uuid”Œr-vctrs”Œr-withr”Œr-xml2”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙÝ÷v§ðhEJšÒ: hFˆubh)”}”(hŒr-sparkr”h#Œ3.4.0”h%Œr41ha770c72_0”h'K hhh(h)hŒ"r-sparkr-3.4.0-r41ha770c72_0.conda”h+Œ d0b038972e465edcd26f34e0947ab223”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-sparkr-3.4.0-r41ha770c72_0.conda”h0Œ@b6b967fa6f2e10201eb3ed77f862f377661479c9848db3847e0699f931ad5010”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙi¾A‰hEJãp  hFˆubh)”}”(hŒr-sparkr”h#Œ3.4.0”h%Œr42ha770c72_0”h'K hhh(h)hŒ"r-sparkr-3.4.0-r42ha770c72_0.conda”h+Œ 0c679843a8383485c1d8f2caf047081e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-sparkr-3.4.0-r42ha770c72_0.conda”h0Œ@7bca8818b919b9fd66727ade57b2aac6e9d5d747313c86b3d3dfd52356c8d0d4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙiÒçmhEJ£Z  hFˆubh)”}”(hŒr-sparsebnutils”h#Œ0.0.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-sparsebnutils-0.0.8-r42hc72bb7e_2.conda”h+Œ 6972868efcee21768b515071f6d54aa0”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-sparsebnutils-0.0.8-r42hc72bb7e_2.conda”h0Œ@29a1b4991b11f7191b95802a4ef80d302f2c225100a966a8c83e4304b6c95e85”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”Œr-nnet”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"ý[dZhEJ» hFˆubh)”}”(hŒr-sparsebnutils”h#Œ0.0.8”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ)r-sparsebnutils-0.0.8-r43hc72bb7e_2.conda”h+Œ 3c3695cbc351987240447f7cf8cb58ab”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-sparsebnutils-0.0.8-r43hc72bb7e_2.conda”h0Œ@fff48c9838c100be354dddd2c4167de808c4f8ee482c7ad88e3023a7f4784357”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-matrix”Œr-nnet”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"ýÃ"ÑhEJ¸ hFˆubh)”}”(hŒ	r-spatest”h#Œ3.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-spatest-3.1.2-r42hc72bb7e_2.conda”h+Œ 69b1fa81dc0419f0d574925a8e3db413”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-spatest-3.1.2-r42hc72bb7e_2.conda”h0Œ@2e48f8d5d5a0ce0426769f4935666fb798cbc95da9618d226b52bc0509a4f680”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"ýgß;hEJþ hFˆubh)”}”(hŒ	r-spatest”h#Œ3.1.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-spatest-3.1.2-r43hc72bb7e_2.conda”h+Œ 77bd48c79786fd49146fe8654d264cd7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-spatest-3.1.2-r43hc72bb7e_2.conda”h0Œ@8028fa2610e099d22186db63f2a6526866eb43f07e80fab24470ac7f32fd76ae”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÙ"ýQXhEJF hFˆubh)”}”(hŒr-spatialeco”h#Œ2.0_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-spatialeco-2.0_0-r41hc72bb7e_0.conda”h+Œ 299461473468fde0ceeb500aad7db69c”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-spatialeco-2.0_0-r41hc72bb7e_0.conda”h0Œ@dbf1b5dcc4526e9d984649d1bb9bef58fad4f0095ac3317d0577b6b43e521c7a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œ
r-envstats”Œr-ks”Œr-mass”Œr-mgcv”Œr-rann”Œr-rcurl”Œr-readr”Œr-rms”Œr-sf”Œr-spatialpack >=0.3”Œr-spatstat.explore”Œr-spatstat.geom >=3.0_3”Œr-spdep”Œr-terra”Œ
r-yaimpute”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÞÒ™î5?hEJ’¸ hFˆubh)”}”(hŒr-spatialeco”h#Œ2.0_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-spatialeco-2.0_0-r42hc72bb7e_0.conda”h+Œ 9efacb9f3bf0773e08bec0ea1ef13115”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-spatialeco-2.0_0-r42hc72bb7e_0.conda”h0Œ@9212f77dd4948a729b8294dc2795762e35d12683830ba140c92be906a048eb75”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œ
r-envstats”Œr-ks”Œr-mass”Œr-mgcv”Œr-rann”Œr-rcurl”Œr-readr”Œr-rms”Œr-sf”Œr-spatialpack >=0.3”Œr-spatstat.explore”Œr-spatstat.geom >=3.0_3”Œr-spdep”Œr-terra”Œ
r-yaimpute”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÞÒ£t¼hEJ%¾ hFˆubh)”}”(hŒr-spatstat.data”h#Œ3.0_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-spatstat.data-3.0_1-r41hc72bb7e_0.conda”h+Œ 3072149a1f2b3747ab0f1f2d40fd382a”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-spatstat.data-3.0_1-r41hc72bb7e_0.conda”h0Œ@04f984fb27c176ee31499dff666c9de25d72a6ac593fd53a7245922fb117d8f6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”Œr-spatstat.utils >=3.0_2”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ”nžÙhEJZÇ> hFˆubh)”}”(hŒr-spatstat.data”h#Œ3.0_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-spatstat.data-3.0_1-r42hc72bb7e_0.conda”h+Œ 1bd190df3e02661405585df9539b8c01”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-spatstat.data-3.0_1-r42hc72bb7e_0.conda”h0Œ@e1bd6fcdd19cdf3db24bd5c5e4d5b44a1b3034ee9f00bdea905702d711cdbfb2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”Œr-spatstat.utils >=3.0_2”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ”eÁ‡hEJèÉ> hFˆubh)”}”(hŒr-spatstat.data”h#Œ3.0_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-spatstat.data-3.0_1-r42hc72bb7e_1.conda”h+Œ 5c4ec6cfa0f215280e8d07b8eb5b16b6”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-spatstat.data-3.0_1-r42hc72bb7e_1.conda”h0Œ@4d3a5c07bf8394f508532f547530ae5b93e9cbaf1975e63256bc5ce142402270”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”Œr-spatstat.utils >=3.0_2”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"çPÔþhEJØÎ> hFˆubh)”}”(hŒr-spatstat.data”h#Œ3.0_1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ)r-spatstat.data-3.0_1-r43hc72bb7e_1.conda”h+Œ b074f712ad16a1d6a59307566e3ed4c1”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-spatstat.data-3.0_1-r43hc72bb7e_1.conda”h0Œ@047d3623d51a09f9ed72b4209a3862b3fde9f2a0bf5341aa125fdb60dd032f11”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-matrix”Œr-spatstat.utils >=3.0_2”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"à¥¡ËhEJ¿È> hFˆubh)”}”(hŒr-spdata”h#Œ2.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-spdata-2.2.2-r41hc72bb7e_0.conda”h+Œ 497f64f53b19a6cc44755f36f70ab5db”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spdata-2.2.2-r41hc72bb7e_0.conda”h0Œ@7b43f63e760b1956a2e56c8e76a810dcfe51d9de9f3f5f0151d72699ebbd4ecf”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-raster”Œr-sp”‡”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙ '˜“uhEJ‰B9 hFˆubh)”}”(hŒr-spdata”h#Œ2.2.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-spdata-2.2.2-r42hc72bb7e_0.conda”h+Œ 10faaa1eeb1ac11fcf95e38f58c71463”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spdata-2.2.2-r42hc72bb7e_0.conda”h0Œ@01e1ce5260fa0b0d5d0259ad56af294855eec8d94c1ed716d568fbca5e98c75c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-raster”Œr-sp”‡”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙ &ûTÝ/hEJv,9 hFˆubh)”}”(hŒr-spdata”h#Œ2.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-spdata-2.2.2-r42hc72bb7e_1.conda”h+Œ ae29da4d929753fd7c6d60d8576591bd”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spdata-2.2.2-r42hc72bb7e_1.conda”h0Œ@4ea4f4f1bab357ebc4bc5bdd053ef04ec288fee18e89c8a7cd9ea9e16f611b26”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-raster”Œr-sp”‡”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙ"¥¶Åó¶hEJ9 hFˆubh)”}”(hŒr-spdata”h#Œ2.2.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-spdata-2.2.2-r43hc72bb7e_1.conda”h+Œ 7f7cd0dc2e1745e4846e5182d6769c8d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spdata-2.2.2-r43hc72bb7e_1.conda”h0Œ@619e4aeb77a28fa10f9edb56495fa6387359e9ca0ca15e500beb936114de12a4”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-raster”Œr-sp”‡”h9hºh@ŒCC0-1.0”hBŒCC”hDGAÙ"¥¸Û×
hEJÿ9 hFˆubh)”}”(hŒr-spdl”h#Œ0.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-spdl-0.0.4-r41hc72bb7e_0.conda”h+Œ ca2f8ad277e69325705f78f238dffaee”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-spdl-0.0.4-r41hc72bb7e_0.conda”h0Œ@ec07fb04aa5eb6faba057b744c00e329deb43691f48e5bc4baaccbc11398d838”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rcppspdlog >=0.0.10”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØïßtýôhEM”thFˆubh)”}”(hŒr-spdl”h#Œ0.0.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-spdl-0.0.4-r42hc72bb7e_0.conda”h+Œ 588c4c68ac52ec9cc459b44fe32882a2”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-spdl-0.0.4-r42hc72bb7e_0.conda”h0Œ@f9fa9c4bf11146c9652b35d1d1c7bcc3255dbdc9764818037e0c3d323361b3df”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rcppspdlog >=0.0.10”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØïß;33hEMïvhFˆubh)”}”(hŒ
r-speedglm”h#Œ0.3_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-speedglm-0.3_5-r41hc72bb7e_0.conda”h+Œ 06adf357c23c2b4a1df49a357440d62b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-speedglm-0.3_5-r41hc72bb7e_0.conda”h0Œ@16c8bc9ff544ec771a45ddf1f5323d2f2c454197b01b9a61a4aa91f2edb031ba”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-biglm”Œr-mass”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ¾šÇ+hEJ|: hFˆubh)”}”(hŒ
r-speedglm”h#Œ0.3_5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-speedglm-0.3_5-r42hc72bb7e_0.conda”h+Œ fd00d57d5eb4270d7f72849ce8e30ca0”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-speedglm-0.3_5-r42hc72bb7e_0.conda”h0Œ@080e47785ed128aeaead9d1042c70ce06459daf810ec48fc384d19302ac58f77”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-biglm”Œr-mass”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ¾ûçhEJ1: hFˆubh)”}”(hŒ
r-speedglm”h#Œ0.3_5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-speedglm-0.3_5-r42hc72bb7e_1.conda”h+Œ 62c675e09d36bcf43072c6a9756eeac7”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-speedglm-0.3_5-r42hc72bb7e_1.conda”h0Œ@3052fc738fe88df06d6616cd317ff7b0a8b2bd79234d212a4be0a6116771172b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-biglm”Œr-mass”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ý”¼jhEJt< hFˆubh)”}”(hŒ
r-speedglm”h#Œ0.3_5”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-speedglm-0.3_5-r43hc72bb7e_1.conda”h+Œ 14b963d209d1215cbdc09b290e0dbe64”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-speedglm-0.3_5-r43hc72bb7e_1.conda”h0Œ@533d1c0fb5136e02426179757b7f4ff5eae7511c4f2bfdc463742edf62c748c1”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-biglm”Œr-mass”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙ"ýñ7LhEJ8 hFˆubh)”}”(hŒr-spei”h#Œ1.8.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-spei-1.8.1-r41hc72bb7e_0.conda”h+Œ c928901be40f7694f1237570a148416c”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-spei-1.8.1-r41hc72bb7e_0.conda”h0Œ@32fe92a034583aafb528108778098d2b784e57f2d9eb3ca34008bfc90ecd00c9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-lmom”Œr-lmomco”Œr-lubridate”Œ	r-reshape”Œr-tlmoments”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ /Ð¢~úhEJÚe hFˆubh)”}”(hŒr-spei”h#Œ1.8.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-spei-1.8.1-r42hc72bb7e_0.conda”h+Œ ae6225d3527433a769b25218be98b968”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-spei-1.8.1-r42hc72bb7e_0.conda”h0Œ@8e2ec7a619bbb97a89ee458ce34207beb1a363642bb5a6bb9ae2364475543565”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-lmom”Œr-lmomco”Œr-lubridate”Œ	r-reshape”Œr-tlmoments”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ /¼ÈA‰hEJxh hFˆubh)”}”(hŒ
r-spelling”h#Œ2.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-spelling-2.2.1-r41hc72bb7e_0.conda”h+Œ 379bf5c8c0e3c588f072a90fee777169”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spelling-2.2.1-r41hc72bb7e_0.conda”h0Œ@16e920d64ea4db9f46a12b17cf9b24b3c1eaf4737d0b4987a79d7d8b2d5341ca”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-commonmark”Œr-hunspell >=3.0”Œr-knitr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙJÃKohEMwõhFˆubh)”}”(hŒ
r-spelling”h#Œ2.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-spelling-2.2.1-r42hc72bb7e_0.conda”h+Œ d1257561377c0b67dc0a5a272913eb86”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spelling-2.2.1-r42hc72bb7e_0.conda”h0Œ@74f09a800a5d4ff0b359f50fd6b1f81fd56cd2db45c96b7c29582f2452a39862”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-commonmark”Œr-hunspell >=3.0”Œr-knitr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙJÃ»çmhEMõhFˆubh)”}”(hŒr-splittools”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-splittools-1.0.1-r41hc72bb7e_0.conda”h+Œ 7cd618f52476a641720b349f7f3dfe0e”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-splittools-1.0.1-r41hc72bb7e_0.conda”h0Œ@d525b629b2f2f46e893ac2de459c59f2a643c00754982cdc5d5cd215fde19b3c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙÝ ÄœhEJÏI hFˆubh)”}”(hŒr-splittools”h#Œ1.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-splittools-1.0.1-r42hc72bb7e_0.conda”h+Œ 7e16af5cb444327a23e1e42248b8b982”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-splittools-1.0.1-r42hc72bb7e_0.conda”h0Œ@16ab8267a380e34209eb72e4445a0dcf11aa958c45a0808f011d0f4561f75bf0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙÝ0£×hEJXK hFˆubh)”}”(hŒr-spocc”h#Œ1.2.2”h%Œr41h785f33e_0”h'K hhh(h)hŒ!r-spocc-1.2.2-r41h785f33e_0.conda”h+Œ e9ed42c160cd4dcd577d9e1bada4875d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-spocc-1.2.2-r41h785f33e_0.conda”h0Œ@5ddcb6b13a9ef7359ebd14da4040fb5d63e38703abacc7d1b7c23a0e272c1f3e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul”Œr-data.table”Œ
r-jsonlite”Œr-lubridate”Œr-rebird”Œr-rgbif”Œ
r-ridigbio”Œ
r-rvertnet”Œr-s2”Œr-tibble”Œ	r-whisker”Œr-wk”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙõ‹9º^hEJ"¾ hFˆubh)”}”(hŒr-spocc”h#Œ1.2.2”h%Œr42h785f33e_0”h'K hhh(h)hŒ!r-spocc-1.2.2-r42h785f33e_0.conda”h+Œ 91e8a4955dce09c66cca5742442f1503”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-spocc-1.2.2-r42h785f33e_0.conda”h0Œ@c78d4d6aaab90289222cb0fc1637b9e7becbb41cdf5a0e9c2ba3a4786766e2ab”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul”Œr-data.table”Œ
r-jsonlite”Œr-lubridate”Œr-rebird”Œr-rgbif”Œ
r-ridigbio”Œ
r-rvertnet”Œr-s2”Œr-tibble”Œ	r-whisker”Œr-wk”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙõŸ¤ýôhEJÕÃ hFˆubh)”}”(hŒ
r-spotifyr”h#Œ2.2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-spotifyr-2.2.4-r41hc72bb7e_0.conda”h+Œ dd0aceb8549c2bfc951dee7ad0c27572”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spotifyr-2.2.4-r41hc72bb7e_0.conda”h0Œ@44a9b7fd445a8f244c73e21ee916a399f0c58cd02fa5afde5999a321091b20b7”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-genius”Œ
r-ggridges”Œr-httr”Œ	r-janitor”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-rlang”Œr-rvest”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæ¾û õÃhEJ(6 hFˆubh)”}”(hŒ
r-spotifyr”h#Œ2.2.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-spotifyr-2.2.4-r42hc72bb7e_0.conda”h+Œ e1dda0ca6d8376a6997a9818d99fefe8”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spotifyr-2.2.4-r42hc72bb7e_0.conda”h0Œ@34e0641f7794a2e65a57691db8689057ac2200effdde36b0c9fe7661d04f71cd”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-genius”Œ
r-ggridges”Œr-httr”Œ	r-janitor”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-rlang”Œr-rvest”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæ¿-ÂhEJÁ; hFˆubh)”}”(hŒ	r-squarem”h#Œ2021.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-squarem-2021.1-r42hc72bb7e_2.conda”h+Œ 7cacf554ec0daec1a723016692c62b51”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-squarem-2021.1-r42hc72bb7e_2.conda”h0Œ@6ce86d64fcfe48c887ce1fcefda79e1b243e3ed6f433b0be4ecaba595a90b715”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"wÌÌ¼jhEJ`ù hFˆubh)”}”(hŒ	r-squarem”h#Œ2021.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-squarem-2021.1-r43hc72bb7e_2.conda”h+Œ 6e07d6e7714ad83985b45515748211d7”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-squarem-2021.1-r43hc72bb7e_2.conda”h0Œ@7adda7eb5429368a266ea32441fe72c20ceee20fc8b8de38b266abb41bbdcdd9”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"wÛFÙhEJù hFˆubh)”}”(hŒr-stabledist”h#Œ0.7_1”h%Œr42ha770c72_2005”h'MÕhhh(h)hŒ)r-stabledist-0.7_1-r42ha770c72_2005.conda”h+Œ e1a1625a1fa5c2e058aad409deea1cff”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-stabledist-0.7_1-r42ha770c72_2005.conda”h0Œ@bd10b1c502e2f351339541079e2a8da20ce1708d449dbf0bab63d6c94f3b6ea8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¹'FffhEJyS hFˆubh)”}”(hŒr-stabledist”h#Œ0.7_1”h%Œr43ha770c72_2005”h'MÕhhh(h)hŒ)r-stabledist-0.7_1-r43ha770c72_2005.conda”h+Œ 76fb72044d39162c2415ece2273b6771”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-stabledist-0.7_1-r43ha770c72_2005.conda”h0Œ@b9604c86f8b0b33ae3d430c35a8daf81fa13b6399b568b123ebd814e8503a1ce”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"¹(¦—hEJ´R hFˆubh)”}”(hŒr-stabs”h#Œ0.6_4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-stabs-0.6_4-r42hc72bb7e_2.conda”h+Œ 99c564c69b63a2101e5ad859912cd73c”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-stabs-0.6_4-r42hc72bb7e_2.conda”h0Œ@f1c415b1eab9ffde5bcd44c530ec1291c8609fb79df2090a30a077df4fa9e73b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"à54›¦hEJîD hFˆubh)”}”(hŒr-stabs”h#Œ0.6_4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-stabs-0.6_4-r43hc72bb7e_2.conda”h+Œ fdec27f1736002f7002e2199ac3523d6”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-stabs-0.6_4-r43hc72bb7e_2.conda”h0Œ@03c22799865bb24ce1b9c61d0c8125fdebe419cf97e0dc7de614d8de99880785”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"à.vÉhEJD hFˆubh)”}”(hŒr-stacks”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-stacks-1.0.2-r41hc72bb7e_0.conda”h+Œ 5b6f09d0fac50f3fe7bc23d2003afb18”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-stacks-1.0.2-r41hc72bb7e_0.conda”h0Œ@618a2920a99eb0430cae6b0f57cd998aa2c5c4cb917ed9165f0f8a688cbe7ee7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-butcher >=0.1.3”Œr-cli”Œr-dials”Œr-dplyr >=1.0.0”Œ	r-foreach”Œ
r-generics”Œ	r-ggplot2”Œr-glmnet”Œr-glue”Œr-parsnip >=0.0.4”Œr-purrr >=0.3.2”Œr-recipes >=0.1.15”Œr-rlang >=0.4.0”Œr-rsample >=0.0.9”Œr-tibble >=2.1.3”Œr-tidyr”Œr-tune >=0.1.2.9000”Œr-workflows >=0.2.1.9000”Œr-workflowsets >=0.0.0.9001”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÜŠ=hEJ2Ô( hFˆubh)”}”(hŒr-stacks”h#Œ1.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-stacks-1.0.2-r42hc72bb7e_0.conda”h+Œ a19c63b66bf309758df4af64bf88cc6a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-stacks-1.0.2-r42hc72bb7e_0.conda”h0Œ@2dd54df3af94600d9183a0b2335b182da28a1284eb494f35a80861d793bbef33”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-butcher >=0.1.3”Œr-cli”Œr-dials”Œr-dplyr >=1.0.0”Œ	r-foreach”Œ
r-generics”Œ	r-ggplot2”Œr-glmnet”Œr-glue”Œr-parsnip >=0.0.4”Œr-purrr >=0.3.2”Œr-recipes >=0.1.15”Œr-rlang >=0.4.0”Œr-rsample >=0.0.9”Œr-tibble >=2.1.3”Œr-tidyr”Œr-tune >=0.1.2.9000”Œr-workflows >=0.2.1.9000”Œr-workflowsets >=0.0.0.9001”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÜŒJ=qhEJÏÖ( hFˆubh)”}”(hŒr-stars”h#Œ0.6_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-stars-0.6_1-r41hc72bb7e_0.conda”h+Œ 1861ee275cf4f177ebd8efd09b117cf9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-stars-0.6_1-r41hc72bb7e_0.conda”h0Œ@767efb9e799d7945b39f63543e5464e9c7a2e315d1ba5ad677dcf82c0ec86e04”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-classint >=0.4_1”Œr-lwgeom”Œr-rlang”Œr-sf >=0.9_7”Œr-units”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙçdÊÁhEJ©}; hFˆubh)”}”(hŒr-stars”h#Œ0.6_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-stars-0.6_1-r42hc72bb7e_0.conda”h+Œ ad6110514de6e88345a70e7e51014e84”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-stars-0.6_1-r42hc72bb7e_0.conda”h0Œ@2ef291abfe79f7d67071f69f51be69faa0254573c72518aa0e5d28cd22951920”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-classint >=0.4_1”Œr-lwgeom”Œr-rlang”Œr-sf >=0.9_7”Œr-units”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙçdIûçhEJV™; hFˆubh)”}”(hŒr-startr”h#Œ2.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-startr-2.2.3-r41hc72bb7e_0.conda”h+Œ 3dda8fe977086e4135fefcc75722bd0b”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-startr-2.2.3-r41hc72bb7e_0.conda”h0Œ@d19e97b0b1a8773bd2d613ad6180a7d4fbe0de1033109d9df8e8dc4f7e0c9069”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-bigmemory”Œr-climprojdiags”Œ
r-easyncdf”Œr-future”Œr-multiapply >=2.1.1”Œr-s2dv”Œr-s2dverification”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙÏ/¢MÓhEJ‰“ hFˆubh)”}”(hŒr-startr”h#Œ2.2.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-startr-2.2.3-r42hc72bb7e_0.conda”h+Œ 6aa06bc86d61cd9bd55db3f58f89490a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-startr-2.2.3-r42hc72bb7e_0.conda”h0Œ@b6f763f3680a07ea8da67191660bf206d7d35fefb982ad5d9b294c46122be8db”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-bigmemory”Œr-climprojdiags”Œ
r-easyncdf”Œr-future”Œr-multiapply >=2.1.1”Œr-s2dv”Œr-s2dverification”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙÏ.{"ÑhEJ'’ hFˆubh)”}”(hŒ	r-startup”h#Œ0.20.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-startup-0.20.0-r41hc72bb7e_0.conda”h+Œ 015f4f2f83a6cb9e876f1f31d7f66537”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-startup-0.20.0-r41hc72bb7e_0.conda”h0Œ@a8e4ae2b205be861834c2daa0e5d319dd092e3e6eec59cc13425b9ddaa4c2809”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ²ÂhEJZ hFˆubh)”}”(hŒ	r-startup”h#Œ0.20.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-startup-0.20.0-r42hc72bb7e_0.conda”h+Œ 2540aee6b574b4dec6778905568b85f6”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-startup-0.20.0-r42hc72bb7e_0.conda”h0Œ@c65958ad36b5f49f3c82ed938c86aacb1f57ee6d2bdacb4daf7cdd87c75762d3”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ²ÓSøhEJHV hFˆubh)”}”(hŒ	r-startup”h#Œ0.20.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-startup-0.20.0-r42hc72bb7e_1.conda”h+Œ 34e0a6f75263328cf09787957b7087e5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-startup-0.20.0-r42hc72bb7e_1.conda”h0Œ@b1286a87f442dbf0e43d1dfde7c7c70abc266b82f7f42bbed60f318cd5988028”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"ì01&éhEJ[ hFˆubh)”}”(hŒ	r-startup”h#Œ0.20.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-startup-0.20.0-r43hc72bb7e_1.conda”h+Œ e1916c3f57fe4613579d547ccf2a567b”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-startup-0.20.0-r43hc72bb7e_1.conda”h0Œ@e628ede24524fc925fd785bf7e00f1ab3dcf56c3ce20d5a033ea7b7d44efe779”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAÙ"ì;-ãThEJÁX hFˆubh)”}”(hŒr-statar”h#Œ0.7.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-statar-0.7.5-r41hc72bb7e_0.conda”h+Œ 27eec28bb00227124a644bcee6f1f96e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-statar-0.7.5-r41hc72bb7e_0.conda”h0Œ@acdeefea36024ffaf38698a4a58c71b60b01af88c0e9fd030469d96f3bfb643b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-dplyr >=1.0”Œr-ggplot2 >=2.0.0”Œ
r-lazyeval”Œr-matrixstats”Œr-rlang”Œ	r-stringr”Œr-tidyselect”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙHü}¡ËhEJ%â hFˆubh)”}”(hŒr-statar”h#Œ0.7.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-statar-0.7.5-r42hc72bb7e_0.conda”h+Œ 3bfddcb3119d2f607c2bdbc4b0abd584”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-statar-0.7.5-r42hc72bb7e_0.conda”h0Œ@333f9eb4b40f231423bdd869a2b25d732d690c26c6357c400e650221ef3f8209”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-dplyr >=1.0”Œr-ggplot2 >=2.0.0”Œ
r-lazyeval”Œr-matrixstats”Œr-rlang”Œ	r-stringr”Œr-tidyselect”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙI ÔþhEJâ hFˆubh)”}”(hŒr-statcheck”h#Œ1.4.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ%r-statcheck-1.4.0-r41h785f33e_0.conda”h+Œ 04b62ae4f8d44afb2aa94efb83aa225c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-statcheck-1.4.0-r41h785f33e_0.conda”h0Œ@f3911ce00e78ba05872846300291f8bf8cf9b86e7704cc2b2955e548bc97083d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-plyr”Œr-rmarkdown”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØó²[.vÉhEJ‘Ž hFˆubh)”}”(hŒr-statcheck”h#Œ1.4.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ%r-statcheck-1.4.0-r42h785f33e_0.conda”h+Œ 921511ae029913248b1996dd59361c30”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-statcheck-1.4.0-r42h785f33e_0.conda”h0Œ@99bfc6046181eeece0be9054fdbaa6e2cc624dac48df893deeef88b1bc56a72f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-plyr”Œr-rmarkdown”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØó²NpÄœhEJ)‘ hFˆubh)”}”(hŒr-statsexpressions”h#Œ1.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-statsexpressions-1.5.1-r41hc72bb7e_0.conda”h+Œ 33373514c80748a6c8f89c6145467dc9”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-statsexpressions-1.5.1-r41hc72bb7e_0.conda”h0Œ@1b9b9094a5fdff831a31366ae25d3642c7f802e61874e65d0f39f02f60d51429”h2NhNh3(Œr-afex >=1.3_0”Œr-base >=4.1,<4.2.0a0”Œr-bayesfactor >=0.9.12_4.4”Œr-correlation >=0.8.4”Œr-datawizard >=0.7.1”Œr-dplyr >=1.1.2”Œr-effectsize >=0.8.3”Œr-glue”Œr-insight >=0.19.2”Œ
r-magrittr”Œr-parameters >=0.21.0”Œr-performance >=0.10.3”Œr-pmcmrplus >=1.9.6”Œr-purrr >=1.0.1”Œr-rlang”Œr-tibble >=3.2.1”Œr-tidyr >=1.3.0”Œr-withr”Œr-wrs2”Œ	r-zeallot”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙP~s÷ÏhEJ±N2 hFˆubh)”}”(hŒr-statsexpressions”h#Œ1.5.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ,r-statsexpressions-1.5.1-r42hc72bb7e_0.conda”h+Œ 7b2921a512d5036b726d21d79278aa3a”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-statsexpressions-1.5.1-r42hc72bb7e_0.conda”h0Œ@86f8519fa2b81c0c47b04206d70d269ed0d39e08385d52b44eee35767e4daeb9”h2NhNh3(Œr-afex >=1.3_0”Œr-base >=4.2,<4.3.0a0”Œr-bayesfactor >=0.9.12_4.4”Œr-correlation >=0.8.4”Œr-datawizard >=0.7.1”Œr-dplyr >=1.1.2”Œr-effectsize >=0.8.3”Œr-glue”Œr-insight >=0.19.2”Œ
r-magrittr”Œr-parameters >=0.21.0”Œr-performance >=0.10.3”Œr-pmcmrplus >=1.9.6”Œr-purrr >=1.0.1”Œr-rlang”Œr-tibble >=3.2.1”Œr-tidyr >=1.3.0”Œr-withr”Œr-wrs2”Œ	r-zeallot”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙP€6—hEJ?J2 hFˆubh)”}”(hŒr-stinepack”h#Œ1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-stinepack-1.4-r41hc72bb7e_0.conda”h+Œ 9ec6885e769ff73a066101ea23fd3c22”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stinepack-1.4-r41hc72bb7e_0.conda”h0Œ@a3efa27e2f27aaaca4913b825f2e727a61b682cbdb9c92c79cf8a48aa8854695”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙB,-ãThEMï±hFˆubh)”}”(hŒr-stinepack”h#Œ1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-stinepack-1.4-r42hc72bb7e_0.conda”h+Œ e809d3ec04225f1182e0e5092a01e2cb”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stinepack-1.4-r42hc72bb7e_0.conda”h0Œ@172970198474b4b0175dc025772c3816d7a4ecfdb725ee85176e6d52e9ee4687”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙB,é‰7hEMŽ±hFˆubh)”}”(hŒr-stopwords”h#Œ2.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-stopwords-2.3-r42hc72bb7e_2.conda”h+Œ 7a5fa87797dc77ebe1bc4f33ec89ced3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stopwords-2.3-r42hc72bb7e_2.conda”h0Œ@c57e839052efdc9262f635bf24c8468d3f1ab7d32b86d88aba9bb868331416da”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-desc”Œ
r-isocodes”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÌvZJhEJD‘ hFˆubh)”}”(hŒr-stopwords”h#Œ2.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-stopwords-2.3-r43hc72bb7e_2.conda”h+Œ 741e326626acdbec40ea202b6a3976c8”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stopwords-2.3-r43hc72bb7e_2.conda”h0Œ@8de9de219f716f95dbec360d590829ec24c04b0cd14401fa9a886517279d1460”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-desc”Œ
r-isocodes”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÌyÔÝ/hEJ hFˆubh)”}”(hŒ	r-stringr”h#Œ1.5.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ#r-stringr-1.5.0-r41h785f33e_0.conda”h+Œ 274211e1d198da9e62d344bcd713f0c9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stringr-1.5.0-r41h785f33e_0.conda”h0Œ@589d0cb36a387ecfe60deb74dc8eb72cae823af3dede6b067f94708b1b9ef7f2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-glue >=1.6.1”Œr-lifecycle >=1.0.3”Œ
r-magrittr”Œr-rlang >=1.0.0”Œr-stringi >=1.5.3”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâ¦dÅ`BhEJ} hFˆubh)”}”(hŒ	r-stringr”h#Œ1.5.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ#r-stringr-1.5.0-r42h785f33e_0.conda”h+Œ 5eaeafbfe340886a30863322edf82b5c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stringr-1.5.0-r42h785f33e_0.conda”h0Œ@b5fd52fb501c997c2e42424ce5a86776c3d0109010d9693486cce16e7fae9205”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-glue >=1.6.1”Œr-lifecycle >=1.0.3”Œ
r-magrittr”Œr-rlang >=1.0.0”Œr-stringi >=1.5.3”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâ¦hG|îhEJ } hFˆubh)”}”(hŒ	r-stringr”h#Œ1.5.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ#r-stringr-1.5.0-r42h785f33e_1.conda”h+Œ 0fe2f35031f1127e8a34d2be86e73d57”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stringr-1.5.0-r42h785f33e_1.conda”h0Œ@cdc1669493a2e1328ceb3e42d42296afbde88f9633086844c7ce8e68062ba57a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-glue >=1.6.1”Œr-lifecycle >=1.0.3”Œ
r-magrittr”Œr-rlang >=1.0.0”Œr-stringi >=1.5.3”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"<£ýó¶hEJ… hFˆubh)”}”(hŒ	r-stringr”h#Œ1.5.0”h%Œr43h785f33e_1”h'Khhh(h)hŒ#r-stringr-1.5.0-r43h785f33e_1.conda”h+Œ a814fbf0ee4e4dd3d8110bf958f4d73b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stringr-1.5.0-r43h785f33e_1.conda”h0Œ@15eee1672d525c28b4f20c6e1a0bb54ca4fddbe584e7590f53228cac42bf68bf”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-glue >=1.6.1”Œr-lifecycle >=1.0.3”Œ
r-magrittr”Œr-rlang >=1.0.0”Œr-stringi >=1.5.3”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"<§5¸hEJ‹‚ hFˆubh)”}”(hŒr-styler”h#Œ1.10.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-styler-1.10.1-r41hc72bb7e_0.conda”h+Œ c12b81cff8bb8745ffbe7aeb9dfd795f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-styler-1.10.1-r41hc72bb7e_0.conda”h0Œ@efca3d3408cc264188814eb47aa8846b7da3d93619420db0c55853b8c2b405a1”h2NhNh3(Œr-backports >=1.1.0”Œr-base >=4.1,<4.2.0a0”Œr-cli >=1.1.0”Œr-magrittr >=2.0.0”Œr-purrr >=0.2.3”Œr-r.cache >=0.14.0”Œr-rematch2 >=2.0.1”Œr-rlang >=0.1.1”Œr-rprojroot >=1.1”Œr-tibble >=1.4.2”Œr-withr >=1.0.0”Œr-xfun >=0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ‡œàÔþhEJÀ™
 hFˆubh)”}”(hŒr-styler”h#Œ1.10.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-styler-1.10.1-r42hc72bb7e_0.conda”h+Œ 6a2596d3eef90c9ecef648d39961c22e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-styler-1.10.1-r42hc72bb7e_0.conda”h0Œ@64b56cf83632454fec12b7d32a2052909c0d90b7293d3bf3cb92e04906633d5b”h2NhNh3(Œr-backports >=1.1.0”Œr-base >=4.2,<4.3.0a0”Œr-cli >=1.1.0”Œr-magrittr >=2.0.0”Œr-purrr >=0.2.3”Œr-r.cache >=0.14.0”Œr-rematch2 >=2.0.1”Œr-rlang >=0.1.1”Œr-rprojroot >=1.1”Œr-tibble >=1.4.2”Œr-withr >=1.0.0”Œr-xfun >=0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ‡”ó¶hEJu 
 hFˆubh)”}”(hŒr-styler”h#Œ1.10.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-styler-1.10.1-r42hc72bb7e_1.conda”h+Œ b52e673b522fe4796121ad0bdc01549d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-styler-1.10.1-r42hc72bb7e_1.conda”h0Œ@678e755fef6c6405f1a463457cc1eb2980a18df513fdcc515e451d8dce193708”h2NhNh3(Œr-backports >=1.1.0”Œr-base >=4.2,<4.3.0a0”Œr-cli >=1.1.0”Œr-magrittr >=2.0.0”Œr-purrr >=0.2.3”Œr-r.cache >=0.14.0”Œr-rematch2 >=2.0.1”Œr-rlang >=0.1.1”Œr-rprojroot >=1.1”Œr-tibble >=1.4.2”Œr-withr >=1.0.0”Œr-xfun >=0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Š1ÈQìhEJ€œ
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 hFˆubh)”}”(hŒr-sunburstr”h#Œ2.1.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-sunburstr-2.1.8-r41hc72bb7e_0.conda”h+Œ 2756442065bb37a35a5242cf1b942b8b”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sunburstr-2.1.8-r41hc72bb7e_0.conda”h0Œ@625bd593893ae25fc51b018e468f1c215b5fd68edc85c2a2774c43b6f7ae4cea”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-d3r >=0.6.9”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets”t”h9hºh@ŒMIT”hBŒMIT”hDGAØøÇ@£×hEJ_r hFˆubh)”}”(hŒr-sunburstr”h#Œ2.1.8”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-sunburstr-2.1.8-r42hc72bb7e_0.conda”h+Œ f7512d6f6fea434e3f2a16bf40848bca”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sunburstr-2.1.8-r42hc72bb7e_0.conda”h0Œ@ced8f073a813f631aa562aa6cd76c63a8ffd923a061532b52ee864ebb31a7823”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-d3r >=0.6.9”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets”t”h9hºh@ŒMIT”hBŒMIT”hDGAØøÈZñªhEJÏv hFˆubh)”}”(hŒ	r-suncalc”h#Œ0.5.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ#r-suncalc-0.5.1-r41h785f33e_0.conda”h+Œ a8f6ce200c442f14cb61298dd908e5e6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-suncalc-0.5.1-r41h785f33e_0.conda”h0Œ@0304388792804ca774f11c4ba5d509dda874cab98d1c8ad3eea4b030d95af5c9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-lubridate”Œ
r-magrittr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØàÚ½E?}hEJ" hFˆubh)”}”(hŒ	r-suncalc”h#Œ0.5.1”h%Œr42h785f33e_0”h'K hhh(h)hŒ#r-suncalc-0.5.1-r42h785f33e_0.conda”h+Œ 467646f33a117aa10d11737fab723f28”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-suncalc-0.5.1-r42h785f33e_0.conda”h0Œ@446e47e45c17517ef6be073451aed6c3e99646ea39cb8f0f8947e9e733fb8fb4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-lubridate”Œ
r-magrittr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØàÚºi&éhEJ¾! hFˆubh)”}”(hŒr-superlearner”h#Œ2.0_28”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-superlearner-2.0_28-r42hc72bb7e_2.conda”h+Œ 0d88a8fceb1a28e144811076513d7df6”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-superlearner-2.0_28-r42hc72bb7e_2.conda”h0Œ@fbd4e5d8566317bab6f0fbc5df15325d9c2cd21827a892825209ba97e33ecde0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cvauc”Œr-gam >=1.15”Œr-nnls”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#CC–hEJ- hFˆubh)”}”(hŒr-superlearner”h#Œ2.0_28”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ)r-superlearner-2.0_28-r43hc72bb7e_2.conda”h+Œ fb657f5cce9ca958dc7adad49e156409”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-superlearner-2.0_28-r43hc72bb7e_2.conda”h0Œ@61e78c7f5f4896448eea4b0c4f353e1b3a1af1c76d925a1174f63afb37f92a20”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cvauc”Œr-gam >=1.15”Œr-nnls”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#–6éyhEJ~ hFˆubh)”}”(hŒr-survey”h#Œ4.2_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-survey-4.2_1-r41hc72bb7e_0.conda”h+Œ 13b6d8eb34a481d1fcf3441f755aeab1”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-survey-4.2_1-r41hc72bb7e_0.conda”h0Œ@0730968337fba851637ba54058f6a022aa4fe1f776826b5cd6a133125a70c15a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-matrix”Œr-minqa”Œr-mitools >=2.4”Œ
r-numderiv”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ,æ(£×hEJÂò. hFˆubh)”}”(hŒr-survey”h#Œ4.2_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-survey-4.2_1-r42hc72bb7e_0.conda”h+Œ 628495a302421404fb83c57d3f5c0954”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-survey-4.2_1-r42hc72bb7e_0.conda”h0Œ@3dfd99cc0b622e1f74574fcc41f4ce183b3b5f8e4127be7f400b6689e7edb790”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-matrix”Œr-minqa”Œr-mitools >=2.4”Œ
r-numderiv”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ,é=?}hEJ»ò. hFˆubh)”}”(hŒr-survey”h#Œ4.2_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-survey-4.2_1-r42hc72bb7e_1.conda”h+Œ abf80d746c7d0578f6b05692937fc8ca”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-survey-4.2_1-r42hc72bb7e_1.conda”h0Œ@9515543cd1150b81a1465b81ccaec6c523eeecf1d6cdd62dc33aa7252c6e7741”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-matrix”Œr-minqa”Œr-mitools >=2.4”Œ
r-numderiv”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"Æon‡+hEJVö. hFˆubh)”}”(hŒr-survey”h#Œ4.2_1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ"r-survey-4.2_1-r43hc72bb7e_1.conda”h+Œ 91892e7c453274c00b282fe2d0601a62”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-survey-4.2_1-r43hc72bb7e_1.conda”h0Œ@2b45cfa83e6ae832b7f9a5ad6e796839a04536851cbd79d909076e498914ceb7”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-lattice”Œr-matrix”Œr-minqa”Œr-mitools >=2.4”Œ
r-numderiv”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÆmùG®hEJþä. hFˆubh)”}”(hŒ
r-survmisc”h#Œ0.5.6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-survmisc-0.5.6-r42hc72bb7e_2.conda”h+Œ c9e46f89059bf448cb4885f9a39a7335”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-survmisc-0.5.6-r42hc72bb7e_2.conda”h0Œ@600b55ce3fb5597dead388d57fc4601056beb006efbd582900c18f3e84429f8d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œ	r-ggplot2”Œr-gridextra”Œr-km.ci”Œr-kmsurv”Œr-knitr”Œ
r-survival”Œr-xtable”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"Ù¼jhEJ«O hFˆubh)”}”(hŒ
r-survmisc”h#Œ0.5.6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-survmisc-0.5.6-r43hc72bb7e_2.conda”h+Œ aee38b76b43c0d927b05c2e7fba18717”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-survmisc-0.5.6-r43hc72bb7e_2.conda”h0Œ@f65a92bb6aa29b56c84378f7fea3f24df0677346b54b750937e828c3f421d68a”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-data.table”Œ	r-ggplot2”Œr-gridextra”Œr-km.ci”Œr-kmsurv”Œr-knitr”Œ
r-survival”Œr-xtable”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"ÙwKÇhEJüL hFˆubh)”}”(hŒr-susier”h#Œ0.12.35”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-susier-0.12.35-r41hc72bb7e_0.conda”h+Œ e0e305309bdee56d33e3702019aced26”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-susier-0.12.35-r41hc72bb7e_0.conda”h0Œ@6f09e3ef7a46213e755f8819bbe44262c7a0b1d307ff16bfa0c8d7ef3ea771e9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œ	r-ggplot2”Œr-matrix”Œr-matrixstats”Œr-mixsqp”Œ	r-reshape”t”h9hºh@ŒMIT”hBŒMIT”hDGAØûýø–hEJ)% hFˆubh)”}”(hŒr-susier”h#Œ0.12.35”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-susier-0.12.35-r42hc72bb7e_0.conda”h+Œ 1692416710ad344e341e6effebe8c47d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-susier-0.12.35-r42hc72bb7e_0.conda”h0Œ@d32101d119fdef36b5959ead1045a8aedba089e2397a42583b804a2d7b95f5ac”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œ	r-ggplot2”Œr-matrix”Œr-matrixstats”Œr-mixsqp”Œ	r-reshape”t”h9hºh@ŒMIT”hBŒMIT”hDGAØûýþ†‡+hEJ÷$ hFˆubh)”}”(hŒ	r-swagger”h#Œ3.33.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-swagger-3.33.1-r42hc72bb7e_2.conda”h+Œ 9fcc7937b242eb77425c5522f2665fe9”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-swagger-3.33.1-r42hc72bb7e_2.conda”h0Œ@e5d6dcce225228a434ca771c818886963b7cc4ac25e7f276a817c276b32410c4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"ý¹xÕhEJ&´ hFˆubh)”}”(hŒ	r-swagger”h#Œ3.33.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-swagger-3.33.1-r43hc72bb7e_2.conda”h+Œ e230a683b21389b423a9d162c0a78c19”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-swagger-3.33.1-r43hc72bb7e_2.conda”h0Œ@c298340e929f145eedc4936478e258d9c8b99263f6284d758e7666cf752cd186”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"ý;çmhEJÆ³ hFˆubh)”}”(hŒr-sylly”h#Œ0.1_6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-sylly-0.1_6-r42hc72bb7e_2.conda”h+Œ 9432e50099484c42479ee8bbc570897d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sylly-0.1_6-r42hc72bb7e_2.conda”h0Œ@df38240be59334b3492e1d34c5cba49e800dccd2bf27a1f0c92e56b492d541a4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"ìã•hEJŠC hFˆubh)”}”(hŒr-sylly”h#Œ0.1_6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-sylly-0.1_6-r43hc72bb7e_2.conda”h+Œ c7d93b99bda24412e04bda160662940a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sylly-0.1_6-r43hc72bb7e_2.conda”h0Œ@9674ea42ee7a90df2ae381538a9a0c8d078e0e95bdb6898fa2773a88ec7e619b”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"ìý¡ËhEJÓ_ hFˆubh)”}”(hŒr-systemfit”h#Œ1.1_30”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-systemfit-1.1_30-r41hc72bb7e_0.conda”h+Œ d210e14c01cdcfb00ead965409c09e7f”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-systemfit-1.1_30-r41hc72bb7e_0.conda”h0Œ@b135b7d6aeec989052cfd90b2437189a8769754a35bd7417ee9ae0cb3f7b6e99”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car >=2.0_0”Œr-lmtest”Œr-mass”Œr-matrix”Œr-sandwich >=2.2_9”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙÝ…	‰7hEJíV	 hFˆubh)”}”(hŒr-systemfit”h#Œ1.1_30”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-systemfit-1.1_30-r42hc72bb7e_0.conda”h+Œ 5a7a864e089c649025f1e6494fea5794”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-systemfit-1.1_30-r42hc72bb7e_0.conda”h0Œ@1c94e5bb25fe409200734ea1f57f10097faec01fa4138ff28fe2a72a0e81c90c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car >=2.0_0”Œr-lmtest”Œr-mass”Œr-matrix”Œr-sandwich >=2.2_9”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙÝ{®‡+hEJÒT	 hFˆubh)”}”(hŒ	r-syuzhet”h#Œ1.0.6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-syuzhet-1.0.6-r42hc72bb7e_2.conda”h+Œ e9d9b86bead813a1a99f781781516a76”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-syuzhet-1.0.6-r42hc72bb7e_2.conda”h0Œ@9698a911192f41b1df598e9705f72f082b111ecf9496c3d5db3e138fd0890f8c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-dtt”Œr-nlp”Œr-textshape >=1.3.0”Œr-tidyr”Œr-zoo”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#qÍ‘hhEJO”+ hFˆubh)”}”(hŒ	r-syuzhet”h#Œ1.0.6”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-syuzhet-1.0.6-r43hc72bb7e_2.conda”h+Œ 16eb7675e746e915d68410d6651df0ab”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-syuzhet-1.0.6-r43hc72bb7e_2.conda”h0Œ@42be33e590af674355c76cd84e318dddd76e8e9b9b7d632e93b47e94d8c0ca99”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr”Œr-dtt”Œr-nlp”Œr-textshape >=1.3.0”Œr-tidyr”Œr-zoo”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ#vKÆ¨hEJF”+ hFˆubh)”}”(hŒr-table1”h#Œ1.4.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-table1-1.4.3-r41hc72bb7e_0.conda”h+Œ 6263ae48d81b1aa08e0e58ab447680d9”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-table1-1.4.3-r41hc72bb7e_0.conda”h0Œ@2d5ed5ffe77cae0f3c040f8a0441cf4343f21770c9c180e4721da66ced984a2b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-formula”Œr-htmltools”Œr-knitr”Œr-yaml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØîÜžhEJÌÎ hFˆubh)”}”(hŒr-table1”h#Œ1.4.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-table1-1.4.3-r42hc72bb7e_0.conda”h+Œ 7baccf1d5f6a674e5db3be770bd983ba”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-table1-1.4.3-r42hc72bb7e_0.conda”h0Œ@df2da9cd9f8043bbdaff5c38e139bdb828a64d7c3843498681abb8777ed44329”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-formula”Œr-htmltools”Œr-knitr”Œr-yaml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØîåŸ¾hEJ„Í hFˆubh)”}”(hŒr-tables”h#Œ0.9.17”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-tables-0.9.17-r41hc72bb7e_0.conda”h+Œ be06b3b8286e11ff8f0f24a18450e259”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tables-0.9.17-r41hc72bb7e_0.conda”h0Œ@5419412a735c1799a16d2cd2739668017ef5dc1b6d69c6b764f2b98ff9998c4d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-knitr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ-Ô<›¦hEJ9å hFˆubh)”}”(hŒr-tables”h#Œ0.9.17”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-tables-0.9.17-r42hc72bb7e_0.conda”h+Œ 509a9c6daac8c1e273570efa3f46d37a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tables-0.9.17-r42hc72bb7e_0.conda”h0Œ@fe16b0d307c1b5c2595a596b54a1783154fa1dcca36b3c8bafdb09ade2a26f8b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œr-knitr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ-ÒwPhEJäã hFˆubh)”}”(hŒ	r-tangram”h#Œ0.8.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-tangram-0.8.2-r41hc72bb7e_0.conda”h+Œ 5cfd1da3fe4dfdae472db904b4ce170f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tangram-0.8.2-r41hc72bb7e_0.conda”h0Œ@52ffdf9bb3e8e662745906feb00bba62112ff87485ea30520b6276b6c6b2239d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-digest”Œr-htmltools”Œr-knitr”Œ
r-magrittr”Œr-r6”Œ	r-stringi”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØô§1ÅVhEJ³• hFˆubh)”}”(hŒ	r-tangram”h#Œ0.8.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-tangram-0.8.2-r42hc72bb7e_0.conda”h+Œ d5a740e2f889cd8a838720074d271f7d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tangram-0.8.2-r42hc72bb7e_0.conda”h0Œ@677f785be073dae95e336de2d020d4c8a26789cf81989e94db3bed0c284a09b5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-digest”Œr-htmltools”Œr-knitr”Œ
r-magrittr”Œr-r6”Œ	r-stringi”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØô§B¬hEJŸ hFˆubh)”}”(hŒr-tarchetypes”h#Œ0.7.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-tarchetypes-0.7.7-r42hc72bb7e_0.conda”h+Œ 3968756c201eae6dac1cc57eee7a15ec”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tarchetypes-0.7.7-r42hc72bb7e_0.conda”h0Œ@b4e771dc0d284641d77e6f1e677ee34000b02d56f2cc9c15e3a74e5c6f1f1224”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest >=0.6.25”Œr-dplyr >=1.0.0”Œr-fs >=1.4.2”Œr-furrr >=0.3.0”Œr-future >=1.0.0”Œr-future.callr >=0.2.0”Œr-rlang >=0.4.7”Œr-targets >=0.14.0”Œr-tibble >=3.0.1”Œr-tidyselect >=1.1.0”Œr-vctrs >=0.3.4”Œr-withr >=2.1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"èÅ`ƒhEJÜá hFˆubh)”}”(hŒ	r-targets”h#Œ1.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-targets-1.1.3-r41hc72bb7e_0.conda”h+Œ 5bbfb6c22db69041ce7042765af058ff”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-targets-1.1.3-r41hc72bb7e_0.conda”h0Œ@2964beed42dff1bd6d85e0b8b553fe82610aee9757d26a41fbb09ae6b215eeb6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64url >=1.4”Œr-callr >=3.4.3”Œr-cli >=2.0.2”Œr-codetools >=0.2.16”Œr-data.table >=1.12.8”Œr-digest >=0.6.25”Œr-igraph >=1.2.5”Œr-knitr >=1.34”Œr-r6 >=2.4.1”Œr-rlang >=1.0.0”Œr-tibble >=3.0.1”Œr-tidyselect >=1.1.0”Œr-vctrs >=0.2.4”Œr-yaml >=2.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙA¯ƒohEJ«y! hFˆubh)”}”(hŒ	r-targets”h#Œ1.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-targets-1.1.3-r42hc72bb7e_0.conda”h+Œ 5112361904f81a98b9ce7b7407ca7adb”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-targets-1.1.3-r42hc72bb7e_0.conda”h0Œ@040c82f22163740ffe198d9131c00796d0600d9f476303e19a7768849d6e2b5a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64url >=1.4”Œr-callr >=3.4.3”Œr-cli >=2.0.2”Œr-codetools >=0.2.16”Œr-data.table >=1.12.8”Œr-digest >=0.6.25”Œr-igraph >=1.2.5”Œr-knitr >=1.34”Œr-r6 >=2.4.1”Œr-rlang >=1.0.0”Œr-tibble >=3.0.1”Œr-tidyselect >=1.1.0”Œr-vctrs >=0.2.4”Œr-yaml >=2.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙAÃ·KÇhEJtµ! hFˆubh)”}”(hŒ	r-targets”h#Œ1.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-targets-1.1.3-r42hc72bb7e_1.conda”h+Œ 28d3e09ee5d85c8f69c7576727430948”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-targets-1.1.3-r42hc72bb7e_1.conda”h0Œ@0ac63e6db4fa269d11f5fabfce96f98b51e40186feeca498b8a63cac985dd480”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64url >=1.4”Œr-callr >=3.4.3”Œr-cli >=2.0.2”Œr-codetools >=0.2.16”Œr-data.table >=1.12.8”Œr-digest >=0.6.25”Œr-igraph >=1.2.5”Œr-knitr >=1.34”Œr-r6 >=2.4.1”Œr-rlang >=1.0.0”Œr-tibble >=3.0.1”Œr-tidyselect >=1.1.0”Œr-vctrs >=0.2.4”Œr-yaml >=2.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ý¡ËhEJ¹·! hFˆubh)”}”(hŒ	r-targets”h#Œ1.1.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-targets-1.1.3-r43hc72bb7e_1.conda”h+Œ 7d33040cac64509e994e2a990cec1d6e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-targets-1.1.3-r43hc72bb7e_1.conda”h0Œ@69f747628ee66492fd67bb9e6b79ed9091cb92f4e8dfbe36a1f1e19780a6e8f9”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64url >=1.4”Œr-callr >=3.4.3”Œr-cli >=2.0.2”Œr-codetools >=0.2.16”Œr-data.table >=1.12.8”Œr-digest >=0.6.25”Œr-igraph >=1.2.5”Œr-knitr >=1.34”Œr-r6 >=2.4.1”Œr-rlang >=1.0.0”Œr-tibble >=3.0.1”Œr-tidyselect >=1.1.0”Œr-vctrs >=0.2.4”Œr-yaml >=2.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ýˆ£×hEJ}! hFˆubh)”}”(hŒ
r-taxizedb”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-taxizedb-0.3.1-r41hc72bb7e_0.conda”h+Œ b3d0a9db9a1e05417066d1f9c7d48e92”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-taxizedb-0.3.1-r41hc72bb7e_0.conda”h0Œ@a135f6b8f0cc8fa95293c948bf62e31120d19017f262486c36dbfcb1696eddb7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl >=2.4”Œr-dbi >=0.6_1”Œr-dbplyr >=1.0.0”Œr-dplyr >=0.7.0”Œr-hoardr >=0.1.0”Œr-magrittr >=1.5”Œr-readr >=1.1.1”Œr-rlang”Œr-rsqlite >=1.1.2”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ:ì bNhEJÑJ hFˆubh)”}”(hŒ
r-taxizedb”h#Œ0.3.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-taxizedb-0.3.1-r42hc72bb7e_0.conda”h+Œ 8c94c1d0e89df857b315adc57d06d784”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-taxizedb-0.3.1-r42hc72bb7e_0.conda”h0Œ@965057409ada5ce15e72a2572658ae743cee5ea5a7e348d7c2187d0ba88346ff”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=2.4”Œr-dbi >=0.6_1”Œr-dbplyr >=1.0.0”Œr-dplyr >=0.7.0”Œr-hoardr >=0.1.0”Œr-magrittr >=1.5”Œr-readr >=1.1.1”Œr-rlang”Œr-rsqlite >=1.1.2”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ:ûffhEJaK hFˆubh)”}”(hŒ
r-tcplfit2”h#Œ0.1.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tcplfit2-0.1.5-r41hc72bb7e_0.conda”h+Œ ea8929a5a49ff0e6e1b5f81eed021561”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tcplfit2-0.1.5-r41hc72bb7e_0.conda”h0Œ@6b2be6078ce13d761025e8850c87e5b65c6e9c0eff02733728633d5a1129916a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-future”Œr-future.apply”Œ
r-numderiv”Œr-rcolorbrewer”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙö?l‹hEJ ’	 hFˆubh)”}”(hŒ
r-tcplfit2”h#Œ0.1.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-tcplfit2-0.1.5-r42hc72bb7e_0.conda”h+Œ 9f0c571c02bb45d0b4217b6b39ed308c”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tcplfit2-0.1.5-r42hc72bb7e_0.conda”h0Œ@d98863243016d737efa76dcdce2801ef87b480f111644320d8b6dff98383203d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-future”Œr-future.apply”Œ
r-numderiv”Œr-rcolorbrewer”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙöÿ
=hEJ3	 hFˆubh)”}”(hŒr-teachingdemos”h#Œ2.12”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ(r-teachingdemos-2.12-r42hc72bb7e_3.conda”h+Œ c2eb7b3b715d3192e27ffacbd14e6042”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-teachingdemos-2.12-r42hc72bb7e_3.conda”h0Œ@3ba064ebbf99ea32b51c78ec7785a36e0deadd572058ebcb734c8e809a81a740”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"ÓÙMÂhEJÛÎ hFˆubh)”}”(hŒr-teachingdemos”h#Œ2.12”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ(r-teachingdemos-2.12-r43hc72bb7e_3.conda”h+Œ d4272a893629316902c8e4c6c23dc69e”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-teachingdemos-2.12-r43hc72bb7e_3.conda”h0Œ@c61a5883bf21d2a300e3c0b9f93a11eebc574eadaea1187b2e8fffe8b963fb64”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÙ"ÓãXA‰hEJoÔ hFˆubh)”}”(hŒr-tensor”h#Œ1.5”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ#r-tensor-1.5-r42hc72bb7e_1005.conda”h+Œ b522559858d7cfe33433b83cb77e7b81”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tensor-1.5-r42hc72bb7e_1005.conda”h0Œ@881ca14d7b0ed409aa59c149602e9a8ab0aa4e35419413fc913bb17d13d7b8d7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"—ô¸QìhEMhFˆubh)”}”(hŒr-tensor”h#Œ1.5”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ#r-tensor-1.5-r43hc72bb7e_1005.conda”h+Œ 72bbc393bb332e0003c721a83e2397c7”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tensor-1.5-r43hc72bb7e_1005.conda”h0Œ@093b30a72d1b3183a66160e969d30b1eb0bcabd1da03df2d373b33ed1f4639f7”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÙ"—ôº\hEMchFˆubh)”}”(hŒr-tensorflow”h#Œ2.11.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-tensorflow-2.11.0-r41hc72bb7e_0.conda”h+Œ 706ee0a1f6929bb6b8128125286dc70d”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tensorflow-2.11.0-r41hc72bb7e_0.conda”h0Œ@d902e6203aab4d6c6f4e08cffd001d5c297cf2bd0f42864cdf98921e50b74771”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-config”Œ
r-processx”Œr-reticulate >=1.10”Œr-rstudioapi >=0.7”Œr-tfautograph >=0.3”Œr-tfruns >=1.0”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØèKàÜÝ/hEJÙN hFˆubh)”}”(hŒr-tensorflow”h#Œ2.11.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-tensorflow-2.11.0-r41hc72bb7e_1.conda”h+Œ 1fa94320e6ca87e4044cffe992a96e76”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tensorflow-2.11.0-r41hc72bb7e_1.conda”h0Œ@a673348d158fc8242493cc19395fbc0f6b452a13ee6bef03a0840ab3b48b5b04”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-config”Œ
r-processx”Œr-reticulate >=1.24”Œr-rstudioapi >=0.7”Œr-tfautograph >=0.3.1”Œr-tfruns >=1.0”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØèa¢ÓohEJBH hFˆubh)”}”(hŒr-tensorflow”h#Œ2.11.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-tensorflow-2.11.0-r42hc72bb7e_0.conda”h+Œ 85f31ebee6a2d0d6e908c2941791a4ba”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tensorflow-2.11.0-r42hc72bb7e_0.conda”h0Œ@7755e7d3bffeac06fd5fbd6602ba34839edb8fa1de720f1b0f06c0f0bff7b3d4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-config”Œ
r-processx”Œr-reticulate >=1.10”Œr-rstudioapi >=0.7”Œr-tfautograph >=0.3”Œr-tfruns >=1.0”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØèKó+ohEJøO hFˆubh)”}”(hŒr-tensorflow”h#Œ2.11.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-tensorflow-2.11.0-r42hc72bb7e_1.conda”h+Œ c7c35d8b1c2035c47b9279844a0b5895”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tensorflow-2.11.0-r42hc72bb7e_1.conda”h0Œ@c6fd37e488f492412f213044f6cce629f929d690de0115470d91cbcb0884e88a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-config”Œ
r-processx”Œr-reticulate >=1.24”Œr-rstudioapi >=0.7”Œr-tfautograph >=0.3.1”Œr-tfruns >=1.0”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØèa£|Ý/hEJ#L hFˆubh)”}”(hŒr-tensorflow”h#Œ2.11.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-tensorflow-2.11.0-r42hc72bb7e_2.conda”h+Œ ddf6328fe3ef34aec83da57fc943aa97”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tensorflow-2.11.0-r42hc72bb7e_2.conda”h0Œ@cdd9a3178c0f36b8265cc0f20fbc7a0a7bc4312d10f1256cf0db69b1cf2a4725”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-config”Œ
r-processx”Œr-reticulate >=1.24”Œr-rstudioapi >=0.7”Œr-tfautograph >=0.3.1”Œr-tfruns >=1.0”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"Ì°Þ5?hEJ2K hFˆubh)”}”(hŒr-tensorflow”h#Œ2.11.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ'r-tensorflow-2.11.0-r43hc72bb7e_2.conda”h+Œ 1fcb0d0893bbcf64f6a21c0f177e43fe”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tensorflow-2.11.0-r43hc72bb7e_2.conda”h0Œ@afef4f6d440c558cfc6da55ae4245985b27adb4f1820662403a0bfe74eedf40d”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-config”Œ
r-processx”Œr-reticulate >=1.24”Œr-rstudioapi >=0.7”Œr-tfautograph >=0.3.1”Œr-tfruns >=1.0”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"ÌŸ¬záhEJjF hFˆubh)”}”(hŒr-textrecipes”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-textrecipes-1.0.3-r41hc72bb7e_0.conda”h+Œ 406b2f6fdfc1326461010cf8278023e7”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-textrecipes-1.0.3-r41hc72bb7e_0.conda”h0Œ@21a3bdbedfc57533f36bffd3b29ded171b0131ea0056b85213638095be9742b6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-generics >=0.1.0”Œr-glue”Œr-lifecycle”Œ
r-magrittr”Œr-matrix”Œr-purrr”Œr-rcpp”Œr-recipes >=1.0.0”Œr-rlang”Œr-snowballc”Œr-tibble”Œr-tokenizers”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ~·Ô¬hEJ½ê hFˆubh)”}”(hŒr-textrecipes”h#Œ1.0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-textrecipes-1.0.3-r42hc72bb7e_0.conda”h+Œ f9c2f851dfd7018bda9300e5b06d0567”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-textrecipes-1.0.3-r42hc72bb7e_0.conda”h0Œ@524aef3ffd3e248adbfc047f110359b61e47e961bea71e251b38bfbe59fbdeae”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-generics >=0.1.0”Œr-glue”Œr-lifecycle”Œ
r-magrittr”Œr-matrix”Œr-purrr”Œr-rcpp”Œr-recipes >=1.0.0”Œr-rlang”Œr-snowballc”Œr-tibble”Œr-tokenizers”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ~¸åVhEJ|ì hFˆubh)”}”(hŒr-textshape”h#Œ1.7.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-textshape-1.7.3-r42hc72bb7e_2.conda”h+Œ 5fd919bb8e25c6c89c9da2e4fdb81e76”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-textshape-1.7.3-r42hc72bb7e_2.conda”h0Œ@6ec38810438e7cfda099c563e3fa2cb14473ce614fcf9da31d266317a444c39b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-slam”Œ	r-stringi”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"àCÕhEJRJ hFˆubh)”}”(hŒr-textshape”h#Œ1.7.3”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ%r-textshape-1.7.3-r43hc72bb7e_2.conda”h+Œ 0af0ea7731dd458cca31a1dc03c1f630”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-textshape-1.7.3-r43hc72bb7e_2.conda”h0Œ@b17204a8f98f71c4a3213c4d610da2f4149eaa0044a7fadfc700d455a8ff009a”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-data.table”Œr-slam”Œ	r-stringi”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"àGÍhEJB hFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr36hc72bb7e_3”h'Khhh(h)hŒ'r-tfautograph-0.3.2-r36hc72bb7e_3.conda”h+Œ a963c9e93201dcd75f78ff81d87acab1”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r36hc72bb7e_3.conda”h0Œ@923acccca2ac6b9fd5b40c7fa250b01608cf0a6a7a2c9cddeefcd5e6f450883d”h2NhNh3Œr-backports”Œr-base >=3.6,<3.7.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"À¢Z°!hEJc½ hFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr40hc72bb7e_3”h'Khhh(h)hŒ'r-tfautograph-0.3.2-r40hc72bb7e_3.conda”h+Œ 5a20fe3c835652abb456abc498f77fb7”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r40hc72bb7e_3.conda”h0Œ@7b6d6893f80de5603e1a8e562cbf31b64a3f44945d52998590300831e88ea29c”h2NhNh3Œr-backports”Œr-base >=4.0,<4.1.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"À¤´í‘hEJ ¿ hFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ'r-tfautograph-0.3.2-r41hc72bb7e_3.conda”h+Œ eb052ef171cb5e20c60a53d9a3f5dc5b”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r41hc72bb7e_3.conda”h0Œ@a412b763463c0f72ecbeb84895956c631d9be03439f266c6522b933ba0a3349e”h2NhNh3Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"À±’MÓhEJ@À hFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ'r-tfautograph-0.3.2-r43hc72bb7e_3.conda”h+Œ bb2b0f4a712844ba72b58a7201415cd3”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r43hc72bb7e_3.conda”h0Œ@ab4673cf6f64cc4b62189e74b363ec41f672f4584ee415d24ce1a919b3dd7f10”h2NhNh3Œr-backports”Œr-base >=4.3,<4.4.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Àœ"JhEJh¼ hFˆubh)”}”(hŒr-tfruns”h#Œ1.5.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-tfruns-1.5.1-r42hc72bb7e_2.conda”h+Œ 5808ae35ff872082fe0be1cf221dc695”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tfruns-1.5.1-r42hc72bb7e_2.conda”h0Œ@58cf65e461c4fc03f5b49e0b2989190c0eb406ca9bd3c4ca3de60f1e08b980a0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-config”Œr-jsonlite >=1.2”Œ
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r-survival”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ‚6®vÉhEJ|† hFˆubh)”}”(hŒ	r-th.data”h#Œ1.1_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-th.data-1.1_2-r42hc72bb7e_0.conda”h+Œ efb3875220dee0b642bca6075777385f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-th.data-1.1_2-r42hc72bb7e_0.conda”h0Œ@9e9336012940f12f69f15ce7697a5706af063851d3f2c3163f1a1b6bdbf5f14a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”Œ
r-survival”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ‚"PÔþhEJÓ€† hFˆubh)”}”(hŒ	r-th.data”h#Œ1.1_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-th.data-1.1_2-r42hc72bb7e_1.conda”h+Œ dd1cc2b5809366161c9e4d85072573e0”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-th.data-1.1_2-r42hc72bb7e_1.conda”h0Œ@31bc481eb5697c01bcc4b8f377c78deba070f91aa375efc1e8f9514a1019a28e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”Œ
r-survival”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"‘q`1'hEJ…y† hFˆubh)”}”(hŒ	r-th.data”h#Œ1.1_2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-th.data-1.1_2-r43hc72bb7e_1.conda”h+Œ d7a3a09aea7a108ab59b8135c91c907d”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-th.data-1.1_2-r43hc72bb7e_1.conda”h0Œ@70781b0513f4235d94417f6655c4bb59f21370644a597df0cced677eb0bd38c2”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-mass”Œ
r-survival”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"‘`>ùÛhEJÏƒ† hFˆubh)”}”(hŒr-themis”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-themis-1.0.1-r41hc72bb7e_0.conda”h+Œ f646cc47c843e489223d9751f91da2f4”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-themis-1.0.1-r41hc72bb7e_0.conda”h0Œ@20d1ee3df72737afc4bb1760bb52e961da0c37523a479b4498c92999e4e37144”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dials”Œr-dplyr”Œ
r-generics”Œr-purrr”Œr-rann”Œr-recipes >=0.1.4”Œr-rlang”Œr-rose”Œr-tibble”Œr-unbalanced”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ~±e¸hEJX% hFˆubh)”}”(hŒr-themis”h#Œ1.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-themis-1.0.1-r42hc72bb7e_0.conda”h+Œ 9f7350830634b057101fe211c0f5712b”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-themis-1.0.1-r42hc72bb7e_0.conda”h0Œ@a91fd624327af58597e531bf14a04bce84f5828ae15311ac3cb3f058cacdc107”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dials”Œr-dplyr”Œ
r-generics”Œr-purrr”Œr-rann”Œr-recipes >=0.1.4”Œr-rlang”Œr-rose”Œr-tibble”Œr-unbalanced”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ~ÄÈõÃhEJ· hFˆubh)”}”(hŒr-threebrain”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-threebrain-1.0.0-r41hc72bb7e_0.conda”•      h+Œ 0cccff8bf1d0bcf3cdf4ccad72ecbec6”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-threebrain-1.0.0-r41hc72bb7e_0.conda”h0Œ@a852a083f63566682b87dae6ff2c7ec29eacd4490834620ed12253e849490466”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest >=0.6.22”Œ	r-dipsaus”Œr-freesurferformats >=0.1.7”Œr-gifti >=0.7.5”Œr-htmlwidgets >=1.3”Œr-jsonlite >=1.5”Œr-oro.nifti >=0.9.1”Œr-r6 >=2.3.0”Œr-ravetools >=0.1”Œr-servr”Œr-shiny >=1.2.0”Œr-stringr >=1.3.1”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙúõtjhEJf‡ hFˆubh)”}”(hŒr-threebrain”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-threebrain-1.0.0-r42hc72bb7e_0.conda”h+Œ af6497c97146f9c29caf996e26fbb195”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-threebrain-1.0.0-r42hc72bb7e_0.conda”h0Œ@a87e191eaa75b27bdad8b2996b53e89869e00a4246e03ada000a5c54901a6d32”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest >=0.6.22”Œ	r-dipsaus”Œr-freesurferformats >=0.1.7”Œr-gifti >=0.7.5”Œr-htmlwidgets >=1.3”Œr-jsonlite >=1.5”Œr-oro.nifti >=0.9.1”Œr-r6 >=2.3.0”Œr-ravetools >=0.1”Œr-servr”Œr-shiny >=1.2.0”Œr-stringr >=1.3.1”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙúñ¬hEJN{ hFˆubh)”}”(hŒ	r-threejs”h#Œ0.3.3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-threejs-0.3.3-r42hc72bb7e_3.conda”h+Œ 7ee9d520620548f176ce5b5dae7f3403”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-threejs-0.3.3-r42hc72bb7e_3.conda”h0Œ@9f36cbd082d8a43965e05515a863a6c583c5e4cd63a48ff20b75c61f6ff1e0df”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-crosstalk”Œr-htmlwidgets >=0.3.2”Œr-igraph >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"à4œÌÍhEJç hFˆubh)”}”(hŒ	r-threejs”h#Œ0.3.3”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ#r-threejs-0.3.3-r43hc72bb7e_3.conda”h+Œ 2e17e9d08ef9a9ae93de0627736b5b5b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-threejs-0.3.3-r43hc72bb7e_3.conda”h0Œ@d7c3bc567a7f422d55e13deece8a2c80c89b623c381a53cce75e988eac5fae7c”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-base64enc”Œr-crosstalk”Œr-htmlwidgets >=0.3.2”Œr-igraph >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"à5IÛ#hEJâ hFˆubh)”}”(hŒr-tictoc”h#Œ1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-tictoc-1.2-r41hc72bb7e_0.conda”h+Œ 0cee8d38edbed0e489df85bf0de601bc”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-tictoc-1.2-r41hc72bb7e_0.conda”h0Œ@ef91b118023ed5993e63b3fba7719386d70074e8cf02dc0994c3f69f42e793b7”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ=§U¸hEJ|P hFˆubh)”}”(hŒr-tictoc”h#Œ1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-tictoc-1.2-r42hc72bb7e_0.conda”h+Œ 78f983d8267a35bda0496cf61f5b05d4”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-tictoc-1.2-r42hc72bb7e_0.conda”h0Œ@c65ac268ec3b3d5a672c0ceec731657669f1ab5a8c224e6fdd1d1c1bb44d6f27”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ=Ÿ”›¦hEJP hFˆubh)”}”(hŒr-tictoc”h#Œ1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-tictoc-1.2-r42hc72bb7e_1.conda”h+Œ a59c3e6ed8543156e1db37794cbff74a”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-tictoc-1.2-r42hc72bb7e_1.conda”h0Œ@f40d6fbcdf2ba117264c71292526a4d55ab6ef4cc9e11ecb60c808379570d220”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"øW¾whEJP hFˆubh)”}”(hŒr-tictoc”h#Œ1.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-tictoc-1.2-r43hc72bb7e_1.conda”h+Œ dfdf59e20d822d7533af8c6c77285a44”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-tictoc-1.2-r43hc72bb7e_1.conda”h0Œ@5757386f82b89d845b2bf8d3e7f8a8e3c9842eba1d4f8ad25a844a0302a82609”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"øl‹hEJòL hFˆubh)”}”(hŒr-tidybayes”h#Œ3.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-tidybayes-3.0.4-r41hc72bb7e_0.conda”h+Œ 708ac0a2c2d009d099e4f3d111ac1b55”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidybayes-3.0.4-r41hc72bb7e_0.conda”h0Œ@0e7fbc70f21dc0f1f2d68a7cf99174d5016491870c85670a52a5bb74cafdad61”h2NhNh3(Œr-arrayhelpers”Œr-base >=4.1,<4.2.0a0”Œr-coda”Œr-dplyr >=0.8.0”Œr-ggdist >=3.0.0”Œr-ggplot2 >=3.3.5”Œ
r-magrittr”Œr-posterior >=1.0.1”Œr-rlang >=0.3.0”Œr-tibble”Œr-tidyr >=1.0.0”Œr-tidyselect”Œr-vctrs”Œr-withr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙÛ²hEJ/ " hFˆubh)”}”(hŒr-tidybayes”h#Œ3.0.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-tidybayes-3.0.4-r42hc72bb7e_0.conda”h+Œ 610d27ec7662e5f451da2f6f16ca07e7”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidybayes-3.0.4-r42hc72bb7e_0.conda”h0Œ@e124f24c9dd019fb259c1d34fa06ecf70992cec92421c774bdbcd638d0cf0887”h2NhNh3(Œr-arrayhelpers”Œr-base >=4.2,<4.3.0a0”Œr-coda”Œr-dplyr >=0.8.0”Œr-ggdist >=3.0.0”Œr-ggplot2 >=3.3.5”Œ
r-magrittr”Œr-posterior >=1.0.1”Œr-rlang >=0.3.0”Œr-tibble”Œr-tidyr >=1.0.0”Œr-tidyselect”Œr-vctrs”Œr-withr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙÑ­ÒòhEJx," hFˆubh)”}”(hŒr-tidycensus”h#Œ1.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-tidycensus-1.4.1-r41hc72bb7e_0.conda”h+Œ a4fdc3c934c0b34559c7ba68dc0cb098”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidycensus-1.4.1-r41hc72bb7e_0.conda”h0Œ@cf7a5c9991b60447702bab6349c05a999405f971cf0c7eea7733210f2d5a979f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-httr”Œr-jsonlite >=1.5.0”Œr-purrr”Œ
r-rappdirs”Œr-readr”Œr-rlang”Œr-rvest”Œr-sf”Œ	r-stringr”Œr-tidyr >=1.0.0”Œr-tigris”Œr-units”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙZž‚¬hEJÎØ1 hFˆubh)”}”(hŒr-tidycensus”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-tidycensus-1.4.1-r42hc72bb7e_0.conda”h+Œ 83fe9a408a289a671e6079f354950263”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidycensus-1.4.1-r42hc72bb7e_0.conda”h0Œ@7169920ce52972cb6829c61be7b3203ab1730b74b28330cf8f0076ab42b817a4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-httr”Œr-jsonlite >=1.5.0”Œr-purrr”Œ
r-rappdirs”Œr-readr”Œr-rlang”Œr-rvest”Œr-sf”Œ	r-stringr”Œr-tidyr >=1.0.0”Œr-tigris”Œr-units”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙZ ¯\)hEJ5×1 hFˆubh)”}”(hŒ
r-tidyjson”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tidyjson-0.3.2-r41hc72bb7e_0.conda”h+Œ d845d34c5998af11289cfa33386e234d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidyjson-0.3.2-r41hc72bb7e_0.conda”h0Œ@266fbb35ec69bbd45520fb64a689b8e1a905996703aeb9bc4e05b26e6449a3fd”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØîJýA‰7hEJâö hFˆubh)”}”(hŒ
r-tidyjson”h#Œ0.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-tidyjson-0.3.2-r42hc72bb7e_0.conda”h+Œ d03c983fbc37017620a472cbb3f69efb”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidyjson-0.3.2-r42hc72bb7e_0.conda”h0Œ@9cccccd7351372827452da8428b96603e49f3fa4101590e7778a3e25f70ddbdc”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØîKöùÛhEJhþ hFˆubh)”}”(hŒr-tidymodels”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-tidymodels-1.1.0-r41hc72bb7e_0.conda”h+Œ 86dffa9d7b96764aa1f1757850fe009f”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidymodels-1.1.0-r41hc72bb7e_0.conda”h0Œ@4939b47bb7cda703bb681111f0539b1c85cd5b95f74c58076ab3a1f821b61545”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom >=1.0.0”Œr-cli >=3.3.0”Œr-conflicted >=1.1.0”Œr-dials >=1.0.0”Œr-dplyr >=1.0.9”Œr-ggplot2 >=3.3.6”Œr-hardhat >=1.2.0”Œr-infer >=1.0.2”Œr-modeldata >=1.0.0”Œr-parsnip >=1.0.0”Œr-purrr >=0.3.4”Œr-recipes >=1.0.1”Œr-rlang >=1.0.3”Œr-rsample >=1.0.0”Œr-rstudioapi >=0.13”Œr-tibble >=3.1.7”Œr-tidyr >=1.2.0”Œr-tune >=1.0.0”Œr-workflows >=1.0.0”Œr-workflowsets >=1.0.0”Œr-yardstick >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ
’þhEJht hFˆubh)”}”(hŒr-tidymodels”h#Œ1.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-tidymodels-1.1.0-r42hc72bb7e_0.conda”h+Œ 1d80c59a16d1157edda652ef65e707b0”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidymodels-1.1.0-r42hc72bb7e_0.conda”h0Œ@80dc1c36fe21371e52c21c86182cae9d49f47b007cdd2ebf223174552c27c73f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom >=1.0.0”Œr-cli >=3.3.0”Œr-conflicted >=1.1.0”Œr-dials >=1.0.0”Œr-dplyr >=1.0.9”Œr-ggplot2 >=3.3.6”Œr-hardhat >=1.2.0”Œr-infer >=1.0.2”Œr-modeldata >=1.0.0”Œr-parsnip >=1.0.0”Œr-purrr >=0.3.4”Œr-recipes >=1.0.1”Œr-rlang >=1.0.3”Œr-rsample >=1.0.0”Œr-rstudioapi >=0.13”Œr-tibble >=3.1.7”Œr-tidyr >=1.2.0”Œr-tune >=1.0.0”Œr-workflows >=1.0.0”Œr-workflowsets >=1.0.0”Œr-yardstick >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ
›+çmhEJt hFˆubh)”}”(hŒr-tidypredict”h#Œ0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-tidypredict-0.5-r41hc72bb7e_0.conda”h+Œ 8924e7629d2129104ca36ffa5955668c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidypredict-0.5-r41hc72bb7e_0.conda”h0Œ@51d8ac890e4d90ba0a476459c6d935843f8448840553f3ee9b108e7608378799”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7”Œ
r-generics”Œr-knitr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h6Œr-testthat >=3.0.0”Œr-earth >=5.1.2”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØõà„¨å`hEJß hFˆubh)”}”(hŒr-tidypredict”h#Œ0.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-tidypredict-0.5-r42hc72bb7e_0.conda”h+Œ a4feea610d5f06d9634939eee56e3ae6”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidypredict-0.5-r42hc72bb7e_0.conda”h0Œ@3333a9af84fc4116d732a00fb3cecd90c376c04811fde67d94b2cb10cbc45c38”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7”Œ
r-generics”Œr-knitr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h6Œr-earth >=5.1.2”Œr-testthat >=3.0.0”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØõà…hEJ5â hFˆubh)”}”(hŒr-tidyquant”h#Œ1.0.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-tidyquant-1.0.7-r41hc72bb7e_0.conda”h+Œ 20e77ae3ad9ad41f3c267502e0134225”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidyquant-1.0.7-r41hc72bb7e_0.conda”h0Œ@48d85dde3c46dc2938e8cea1b092ca8e4247d99635784c871667b75d60005114”h2NhNh3(Œr-alphavantager >=0.1.2”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œ
r-lazyeval”Œr-lubridate”Œ
r-magrittr”Œr-performanceanalytics”Œr-purrr”Œr-quandl”Œr-quantmod >=0.4_13”Œr-readr”Œr-readxl”Œr-riingo”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr >=1.0.0”Œr-tidyselect”Œr-tidyverse”Œ
r-timedate”Œr-timetk >=2.4.0”Œr-ttr”Œr-xts”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ¶îm/hEJÀê hFˆubh)”}”(hŒr-tidyquant”h#Œ1.0.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-tidyquant-1.0.7-r42hc72bb7e_0.conda”h+Œ a3d00e3bd0d0087da25583f9e7cbf858”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidyquant-1.0.7-r42hc72bb7e_0.conda”h0Œ@596fa3509e436ddab8d9a3977325bfcd1636e77ca0407024e636008b044d795e”h2NhNh3(Œr-alphavantager >=0.1.2”Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œ
r-lazyeval”Œr-lubridate”Œ
r-magrittr”Œr-performanceanalytics”Œr-purrr”Œr-quandl”Œr-quantmod >=0.4_13”Œr-readr”Œr-readxl”Œr-riingo”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr >=1.0.0”Œr-tidyselect”Œr-tidyverse”Œ
r-timedate”Œr-timetk >=2.4.0”Œr-ttr”Œr-xts”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ¶ÝeãThEJû hFˆubh)”}”(hŒr-tidyseurat”h#Œ0.5.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-tidyseurat-0.5.9-r41hc72bb7e_0.conda”h+Œ ee4e99074a43efd6930bb1d25026e272”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidyseurat-0.5.9-r41hc72bb7e_0.conda”h0Œ@43ea35ae16d038d5ba7261a29d57f16a258a70630fa0cb7b5c6b8c953dc52d0f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dplyr”Œ
r-ellipsis”Œr-fansi”Œ	r-ggplot2”Œr-lifecycle”Œ
r-magrittr”Œr-pillar”Œr-plotly”Œr-purrr”Œr-rlang”Œr-seurat”Œr-seuratobject”Œ	r-stringr”Œr-tibble”Œr-tidyr >=1.2.0”Œr-tidyselect”Œr-ttservice”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØþ+‚JhEJô hFˆubh)”}”(hŒr-tidyseurat”h#Œ0.5.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-tidyseurat-0.5.9-r42hc72bb7e_0.conda”h+Œ 894f89fc5d912e4b9f183b11b6037b5d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidyseurat-0.5.9-r42hc72bb7e_0.conda”h0Œ@d40b5acddae3ee4dd8e396d5127236357588d9cc191db2aca8c6d46f540494c2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dplyr”Œ
r-ellipsis”Œr-fansi”Œ	r-ggplot2”Œr-lifecycle”Œ
r-magrittr”Œr-pillar”Œr-plotly”Œr-purrr”Œr-rlang”Œr-seurat”Œr-seuratobject”Œ	r-stringr”Œr-tibble”Œr-tidyr >=1.2.0”Œr-tidyselect”Œr-ttservice”Œr-vctrs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØþ,õp¤hEJF$ hFˆubh)”}”(hŒr-tidytable”h#Œ0.10.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-tidytable-0.10.1-r41hc72bb7e_0.conda”h+Œ b660b0f1554e2d488051b3bf04b7b5a0”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidytable-0.10.1-r41hc72bb7e_0.conda”h0Œ@0d52f5717d5de61b4dc46b33ef65eb9dc332ddff8373e6a8bcea8bcf6a65e553”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.12.6”Œr-glue >=1.4.0”Œr-lifecycle >=0.2.0”Œr-magrittr >=1.5”Œr-pillar >=1.5.0”Œr-rlang >=1.0.0”Œr-tidyselect >=1.1.0”Œr-vctrs >=0.3.8”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙW^o
=hEJ´;	 hFˆubh)”}”(hŒr-tidytable”h#Œ0.10.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-tidytable-0.10.1-r42hc72bb7e_0.conda”h+Œ 985693817e355bbad9781d7596af2db2”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidytable-0.10.1-r42hc72bb7e_0.conda”h0Œ@75a664504ca8f01a78d1721fa4e9480872a3ec5e7b453f63d30a4eee4b5d36fe”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.12.6”Œr-glue >=1.4.0”Œr-lifecycle >=0.2.0”Œr-magrittr >=1.5”Œr-pillar >=1.5.0”Œr-rlang >=1.0.0”Œr-tidyselect >=1.1.0”Œr-vctrs >=0.3.8”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙWf“hEJ‹G	 hFˆubh)”}”(hŒ
r-tidytext”h#Œ0.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tidytext-0.4.1-r41hc72bb7e_0.conda”h+Œ f5a541d064f9c2b640731f557b0bd137”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidytext-0.4.1-r41hc72bb7e_0.conda”h0Œ@d5da01c021a64c382d2f44b7ade4b02a9b1562c5c3c39ab4521ec255d9529efc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-generics”Œ
r-hunspell”Œr-janeaustenr”Œr-matrix”Œr-purrr >=0.1.1”Œr-rlang”Œr-stopwords”Œ	r-stringr”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGAØî÷Q‰7hEJ>ó- hFˆubh)”}”(hŒ
r-tidytext”h#Œ0.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-tidytext-0.4.1-r42hc72bb7e_0.conda”h+Œ d0df08ee1192947faa8d717c56b84997”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidytext-0.4.1-r42hc72bb7e_0.conda”h0Œ@a96b146e124547ab2e86836cfd2bcacab08c39a4e80fc063be2ba1b00ef67b8b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-generics”Œ
r-hunspell”Œr-janeaustenr”Œr-matrix”Œr-purrr >=0.1.1”Œr-rlang”Œr-stopwords”Œ	r-stringr”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGAØî‘|îhEJæÿ- hFˆubh)”}”(hŒ
r-tidytext”h#Œ0.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-tidytext-0.4.1-r42hc72bb7e_1.conda”h+Œ 001cddfb288d66e300908cd4d9f09721”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidytext-0.4.1-r42hc72bb7e_1.conda”h0Œ@bcfb93f61a0d1124ef24fd3bdcf00d8df84ac0306310e3ff9a81455ccd6a7090”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-generics”Œ
r-hunspell”Œr-janeaustenr”Œr-matrix”Œr-purrr >=0.1.1”Œr-rlang”Œr-stopwords”Œ	r-stringr”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"åÍö§ðhEJ‘ú- hFˆubh)”}”(hŒ
r-tidytext”h#Œ0.4.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ$r-tidytext-0.4.1-r43hc72bb7e_1.conda”h+Œ c7ce6a7bc1a3e811026d5a2ab8ff336d”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidytext-0.4.1-r43hc72bb7e_1.conda”h0Œ@a4be7d0b4572df08b5724395ecd3b1666f47b7369044076ae3878a3d8eaeac01”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr”Œ
r-generics”Œ
r-hunspell”Œr-janeaustenr”Œr-matrix”Œr-purrr >=0.1.1”Œr-rlang”Œr-stopwords”Œ	r-stringr”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"åÇÒ~úhEJó- hFˆubh)”}”(hŒ
r-tidytree”h#Œ0.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tidytree-0.4.2-r41hc72bb7e_0.conda”h+Œ ac063ca78e7e4550b4d0fd53e5464877”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidytree-0.4.2-r41hc72bb7e_0.conda”h0Œ@2cc0e7bb192f50df12dc7d32500971cf4a902b97a1a6c1894f4a116beb64a79f”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-lazyeval”Œ
r-magrittr”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-yulab.utils >=0.0.4”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØçØI‡hEJ£ hFˆubh)”}”(hŒ
r-tidytree”h#Œ0.4.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-tidytree-0.4.2-r42hc72bb7e_0.conda”h+Œ 8aa7e2df8f539f6d5bc9fb8461837f45”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidytree-0.4.2-r42hc72bb7e_0.conda”h0Œ@544f945449e9ae51645b0618dfe7e574be862677264c63bbb158d95fcc657757”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-lazyeval”Œ
r-magrittr”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-yulab.utils >=0.0.4”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØçØ‰dÝ/hEJØó hFˆubh)”}”(hŒr-tidyverse”h#Œ2.0.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ%r-tidyverse-2.0.0-r41h785f33e_0.conda”h+Œ c143855e04368a7be1564c56e176b26d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidyverse-2.0.0-r41h785f33e_0.conda”h0Œ@c28271fa1391145eb510d8db09baf810cd41a0f7858fb0e3efea55e25f836d4b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom >=1.0.3”Œr-cli >=3.6.0”Œr-conflicted >=1.2.0”Œr-dbplyr >=2.3.0”Œr-dplyr >=1.1.0”Œr-dtplyr >=1.2.2”Œr-forcats >=1.0.0”Œr-ggplot2 >=3.4.1”Œr-googledrive >=2.0.0”Œr-googlesheets4 >=1.0.1”Œr-haven >=2.5.1”Œr-hms >=1.1.2”Œr-httr >=1.4.4”Œr-jsonlite >=1.8.4”Œr-lubridate >=1.9.2”Œr-magrittr >=2.0.3”Œr-modelr >=0.1.10”Œr-pillar >=1.8.1”Œr-purrr >=1.0.1”Œr-ragg >=1.2.5”Œr-readr >=2.1.4”Œr-readxl >=1.4.2”Œr-reprex >=2.0.2”Œr-rlang >=1.0.6”Œr-rstudioapi >=0.14”Œr-rvest >=1.0.3”Œr-stringr >=1.5.0”Œr-tibble >=3.1.8”Œr-tidyr >=1.3.0”Œr-xml2 >=1.3.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØý™¼j^5hEJd hFˆubh)”}”(hŒr-tidyverse”h#Œ2.0.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ%r-tidyverse-2.0.0-r42h785f33e_0.conda”h+Œ 1ba3c657ea0ff7bb988b764274da0083”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidyverse-2.0.0-r42h785f33e_0.conda”h0Œ@8ded139dae2ae288d773d511717691c9896d51e64e03ad9b2218c124bba071f3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom >=1.0.3”Œr-cli >=3.6.0”Œr-conflicted >=1.2.0”Œr-dbplyr >=2.3.0”Œr-dplyr >=1.1.0”Œr-dtplyr >=1.2.2”Œr-forcats >=1.0.0”Œr-ggplot2 >=3.4.1”Œr-googledrive >=2.0.0”Œr-googlesheets4 >=1.0.1”Œr-haven >=2.5.1”Œr-hms >=1.1.2”Œr-httr >=1.4.4”Œr-jsonlite >=1.8.4”Œr-lubridate >=1.9.2”Œr-magrittr >=2.0.3”Œr-modelr >=0.1.10”Œr-pillar >=1.8.1”Œr-purrr >=1.0.1”Œr-ragg >=1.2.5”Œr-readr >=2.1.4”Œr-readxl >=1.4.2”Œr-reprex >=2.0.2”Œr-rlang >=1.0.6”Œr-rstudioapi >=0.14”Œr-rvest >=1.0.3”Œr-stringr >=1.5.0”Œr-tibble >=3.1.8”Œr-tidyr >=1.3.0”Œr-xml2 >=1.3.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØý™ÆpbhEJ¹| hFˆubh)”}”(hŒr-tigris”h#Œ2.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-tigris-2.0.3-r41hc72bb7e_0.conda”h+Œ 16e37e90d61fdbbdcacebaad278c5c39”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tigris-2.0.3-r41hc72bb7e_0.conda”h0Œ@0e9efa79a2279b55084b113a65edcc28bd5b2b9b8edb8da51d7f3e8175608cc5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-httr”Œ
r-magrittr”Œ
r-maptools”Œ
r-rappdirs”Œr-rgdal”Œr-sf”Œr-sp”Œ	r-stringr”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙè®uó¶hEJ‘ hFˆubh)”}”(hŒr-tigris”h#Œ2.0.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-tigris-2.0.3-r42hc72bb7e_0.conda”h+Œ f62ea68373ddd613563a5ce5d5e9b7bc”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tigris-2.0.3-r42hc72bb7e_0.conda”h0Œ@22b5ec5e59418270800dd1a654bd661a8e15059577c218f37a74da830070a090”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-httr”Œ
r-magrittr”Œ
r-maptools”Œ
r-rappdirs”Œr-rgdal”Œr-sf”Œr-sp”Œ	r-stringr”Œr-uuid”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙè°›çmhEJ’ hFˆubh)”}”(hŒ
r-timedate”h#Œ4022.108”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-timedate-4022.108-r41hc72bb7e_0.conda”h+Œ 047f9b550bf49b95d662f4180c9097c8”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-timedate-4022.108-r41hc72bb7e_0.conda”h0Œ@480a86db7c44fd0789edb7f5e0d0d38c7d9e677ca3e6b50219f3a34c3d25d816”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØîwÊ@bNhEJuY hFˆubh)”}”(hŒ
r-timedate”h#Œ4022.108”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-timedate-4022.108-r42hc72bb7e_0.conda”h+Œ 09012ccd6f74544aad403e5cf255fb20”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-timedate-4022.108-r42hc72bb7e_0.conda”h0Œ@a6d0ccbc5a7484efb305fbcbf420a1338f6e1d4b93967b41e9a9215e40b8abf0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØîwC×
hEJ†d hFˆubh)”}”(hŒ
r-timedate”h#Œ4022.108”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-timedate-4022.108-r42hc72bb7e_1.conda”h+Œ c107caaa6035b77963a6011cbd6783cf”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-timedate-4022.108-r42hc72bb7e_1.conda”h0Œ@93d9a0bcfac9ae7e0c23fd544e43aea14562161289996ccfa868fa16ff014367”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"w^+×
hEJca hFˆubh)”}”(hŒ
r-timedate”h#Œ4022.108”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-timedate-4022.108-r43hc72bb7e_1.conda”h+Œ 219b56a657304d5f4002f2ecb312167b”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-timedate-4022.108-r43hc72bb7e_1.conda”h0Œ@684b8521554fa371b11609095a6bf57c120e063e4c53ee2ba18faaae5317beab”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"w_™ûçhEJB~ hFˆubh)”}”(hŒr-timeseries”h#Œ4030.106”h%Œr41ha770c72_0”h'K hhh(h)hŒ)r-timeseries-4030.106-r41ha770c72_0.conda”h+Œ 2670996684b2b00303c4aa2a595f6a8d”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-timeseries-4030.106-r41ha770c72_0.conda”h0Œ@739cfcc738ee455ce9afd61c07a4dc08c416313308997fa8e1e51eb283d23643”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-timedate >=2150.95”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙÓÊ ´9hEJòO hFˆubh)”}”(hŒr-timeseries”h#Œ4030.106”h%Œr42ha770c72_0”h'K hhh(h)hŒ)r-timeseries-4030.106-r42ha770c72_0.conda”h+Œ 36e17143fb05ee93a280c13e1f169058”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-timeseries-4030.106-r42ha770c72_0.conda”h0Œ@743c8c4b508191cee9df7e9c45f40808d65eb762ca268804f74f758f45486f0a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-timedate >=2150.95”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙÓÀíó¶hEJÅ@ hFˆubh)”}”(hŒr-timeseries”h#Œ4030.106”h%Œr42ha770c72_1”h'Khhh(h)hŒ)r-timeseries-4030.106-r42ha770c72_1.conda”h+Œ 83919296d3a0986fae68fd5b687f0f08”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-timeseries-4030.106-r42ha770c72_1.conda”h0Œ@b0143e37172834c49e84c7967c9e1dce60e419cfbeb8f4d35058d25125c2fde2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-timedate >=2150.95”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÆèDÝ/hEJ? hFˆubh)”}”(hŒr-timeseries”h#Œ4030.106”h%Œr43ha770c72_1”h'Khhh(h)hŒ)r-timeseries-4030.106-r43ha770c72_1.conda”h+Œ 47808c85d465aa830ebb5f8557e3e374”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-timeseries-4030.106-r43ha770c72_1.conda”h0Œ@06b04c9c6b5c84ec64837653cce5429a7f2fd2f91a9c0b39f57c633814f4d3f3”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-timedate >=2150.95”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"ÆòhEJ)w hFˆubh)”}”(hŒr-timetk”h#Œ2.8.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-timetk-2.8.3-r41hc72bb7e_0.conda”h+Œ 5a25a17e0a0710202ff6db35cec5c42c”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-timetk-2.8.3-r41hc72bb7e_0.conda”h0Œ@0b8a1ef4f15e28167d7ffb96ac78a4fcf9cf7a71341b58c43abeb0588d0cec77”h2NhNh3(Œ	r-anytime”Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œ	r-forcats”Œ
r-forecast”Œ
r-generics”Œ	r-ggplot2”Œr-hms”Œr-lubridate >=1.6.0”Œr-padr >=0.5.2”Œr-plotly”Œr-purrr >=0.2.2”Œr-readr >=1.3.0”Œr-recipes >=0.1.4”Œr-rlang >=0.4.7”Œ	r-rsample”Œr-slider”Œr-stringi >=1.4.6”Œ	r-stringr”Œr-tibble >=3.0.3”Œr-tidyr >=1.1.0”Œr-tidyselect >=1.1.0”Œ
r-timedate”Œr-tsfeatures”Œr-xts >=0.9_7”Œr-zoo >=1.7_14”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ	qê¼jhEJü€ hFˆubh)”}”(hŒr-timetk”h#Œ2.8.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-timetk-2.8.3-r42hc72bb7e_0.conda”h+Œ 672b61c2e443a45b42b85ba27f7d5d7d”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-timetk-2.8.3-r42hc72bb7e_0.conda”h0Œ@fbe12a3d5cb8ef0742e255c55bd8dc4b018ad8e4e772bc9b91df04b0585b6c02”h2NhNh3(Œ	r-anytime”Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œ	r-forcats”Œ
r-forecast”Œ
r-generics”Œ	r-ggplot2”Œr-hms”Œr-lubridate >=1.6.0”Œr-padr >=0.5.2”Œr-plotly”Œr-purrr >=0.2.2”Œr-readr >=1.3.0”Œr-recipes >=0.1.4”Œr-rlang >=0.4.7”Œ	r-rsample”Œr-slider”Œr-stringi >=1.4.6”Œ	r-stringr”Œr-tibble >=3.0.3”Œr-tidyr >=1.1.0”Œr-tidyselect >=1.1.0”Œ
r-timedate”Œr-tsfeatures”Œr-xts >=0.9_7”Œr-zoo >=1.7_14”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ	qöº~úhEJ”| hFˆubh)”}”(hŒ
r-tinytest”h#Œ1.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tinytest-1.4.1-r41hc72bb7e_0.conda”h+Œ adb4e92a16408ec044910c4c25a2a471”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tinytest-1.4.1-r41hc72bb7e_0.conda”h0Œ@229e9169926b74013e099ea1dbba8e4c1d53f8c784319333bf47b9ffa22ad521”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØýg>E¢hEJ$‘
 hFˆubh)”}”(hŒ
r-tinytest”h#Œ1.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-tinytest-1.4.1-r42hc72bb7e_0.conda”h+Œ fed6df8116da761dbadab7335b35b8cd”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tinytest-1.4.1-r42hc72bb7e_0.conda”h0Œ@63278d8de54dea031e98e69a2ff834fdea8c7017e49c00f9d62b58d63d9c445f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØýgÚJhEJP‘
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r-beeswarm”Œ	r-ggplot2”Œ	r-ggrepel”Œr-gplots”Œ
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r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÓH˜£×hEJ~˜
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r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÓAzáhEJs¯
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r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÓXþffhEJÃª
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r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"Ã¬ˆå`hEJ%¬
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r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!Ó;/ïžhEJÁ¥
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r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!Òˆ\hEJ•«
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r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ!ÓGŸ¾hEJ`§
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r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ"Ã»Wß;hEJÙ¨
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 hFˆubh)”}”(hŒr-treeheatr”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-treeheatr-0.2.1-r41hc72bb7e_0.conda”h+Œ 869e614f04291c75f8d2ab3472217488”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-treeheatr-0.2.1-r41hc72bb7e_0.conda”h0Œ@2423d350db6ce8f3c92417fd60f46fd9b2e3e03886001274c00f392f42864821”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-dplyr”Œr-ggnewscale”Œ	r-ggparty”Œ	r-ggplot2”Œr-gtable”Œ
r-partykit”Œr-seriation”Œr-tidyr”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâÎGÄZhEJD· hFˆubh)”}”(hŒr-treeheatr”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-treeheatr-0.2.1-r42hc72bb7e_0.conda”h+Œ 2b0dfe3ecb2b081beef6b968aa04c837”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-treeheatr-0.2.1-r42hc72bb7e_0.conda”h0Œ@546d9f589411799072bcb42e002b7180e953c96860d9a8f6d80812b392467008”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œr-dplyr”Œr-ggnewscale”Œ	r-ggparty”Œ	r-ggplot2”Œr-gtable”Œ
r-partykit”Œr-seriation”Œr-tidyr”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAØâÎU[•hEJƒ½ hFˆubh)”}”(hŒ	r-treemap”h#Œ2.4_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-treemap-2.4_4-r41hc72bb7e_0.conda”h+Œ 3603a0bb25d0764572d7f1fa64a1f324”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-treemap-2.4_4-r41hc72bb7e_0.conda”h0Œ@4f278577318afaed1629dcfbb1eb0b132225cf386e2bd6124a0f068d9d65fec9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colorspace”Œr-data.table >=1.8.8”Œ	r-ggplot2”Œ
r-gridbase”Œr-igraph”Œr-rcolorbrewer”Œr-shiny >=0.12.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙý&Ä1hEJï= hFˆubh)”}”(hŒ	r-treemap”h#Œ2.4_4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-treemap-2.4_4-r42hc72bb7e_0.conda”h+Œ 9f931e3448dde4937a7d76c60425815e”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-treemap-2.4_4-r42hc72bb7e_0.conda”h0Œ@3a3a9a3cb1e4ac84cbc77865eb28ff4c2e024894b4b6160856835a24af8a1d72”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-data.table >=1.8.8”Œ	r-ggplot2”Œ
r-gridbase”Œr-igraph”Œr-rcolorbrewer”Œr-shiny >=0.12.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙý0õÒòhEJÿ9 hFˆubh)”}”(hŒ
r-triangle”h#Œ1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-triangle-1.0-r41hc72bb7e_0.conda”h+Œ ba31cd27a49dfec7a78357a997629097”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-triangle-1.0-r41hc72bb7e_0.conda”h0Œ@5a6600d3dbabf30c2b6c28d62966632df40b82b58caf05e4cb8ed2cc6c6dce52”h2NhNh3Œr-assertthat”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØæ‘£hEJKí hFˆubh)”}”(hŒ
r-triangle”h#Œ1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-triangle-1.0-r42hc72bb7e_0.conda”h+Œ 6b8bc1e25c464d2e6e3b594907257b2f”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-triangle-1.0-r42hc72bb7e_0.conda”h0Œ@8f334cb6541ad3bdb4e266d1b521ee1a75c538f77dc601e08006371ada098844”h2NhNh3Œr-assertthat”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØæŸp1'hEJì hFˆubh)”}”(hŒr-trust”h#Œ0.1_8”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ!r-trust-0.1_8-r42hc72bb7e_3.conda”h+Œ aa9aca03abfabe50f26ccc2423a04752”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-trust-0.1_8-r42hc72bb7e_3.conda”h0Œ@3013448f6a4de41b18d2c687bee342bb8db89b5ac4b6220b0a83c4f049482b68”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Àâ§+hEJ^` hFˆubh)”}”(hŒr-trust”h#Œ0.1_8”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ!r-trust-0.1_8-r43hc72bb7e_3.conda”h+Œ 9dc6c92a205ad896347b1135d4476977”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-trust-0.1_8-r43hc72bb7e_3.conda”h0Œ@fedd19f13dab8951b19cb8ae130daf2e1ddf99e0aa72e27553db529defa82984”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Àê`£×hEJ8a hFˆubh)”}”(hŒr-tsfeatures”h#Œ1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-tsfeatures-1.1-r42hc72bb7e_2.conda”h+Œ 6f65e1b76056838b7b7c1375f15ac6ed”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tsfeatures-1.1-r42hc72bb7e_2.conda”h0Œ@60d8379b7baa04a3b26e3e9f4de213c39b73a0e9ab62af85e238f1883e0467f9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-forecast >=8.3”Œ
r-fracdiff”Œr-furrr”Œr-future”Œr-purrr”Œr-rcpproll >=0.2.2”Œr-tibble”Œ	r-tseries”Œr-urca”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"Ù.$ÝhEJžm hFˆubh)”}”(hŒr-tsfeatures”h#Œ1.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ$r-tsfeatures-1.1-r43hc72bb7e_2.conda”h+Œ 0f6a7d279bfd56c951d3de4e8a0be6ce”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tsfeatures-1.1-r43hc72bb7e_2.conda”h0Œ@eccf2da455f4fbab1830576d2bcbaa9ed8669051058cdb1894ba02fdf4123750”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-forecast >=8.3”Œ
r-fracdiff”Œr-furrr”Œr-future”Œr-purrr”Œr-rcpproll >=0.2.2”Œr-tibble”Œ	r-tseries”Œr-urca”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÙ"ÙJ=qhEJk hFˆubh)”}”(hŒ	r-tsibble”h#Œ1.1.3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-tsibble-1.1.3-r42hc72bb7e_3.conda”h+Œ 0223bc361d3c4493beb339520572548c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tsibble-1.1.3-r42hc72bb7e_3.conda”h0Œ@3bdd592c0654d06466115e19610e33b6c92b5a64cd617ecfd701601daf489059”h2NhNh3(Œr-anytime >=0.3.1”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-ellipsis >=0.3.0”Œ
r-generics”Œr-lifecycle”Œr-lubridate >=1.7.0”Œr-rlang >=0.4.6”Œr-tibble >=3.0.0”Œr-tidyselect >=1.0.0”Œr-vctrs >=0.3.1”t”h6(Œr-tidyr >=1.1.0”Œr-nycflights13 >=1.0.0”Œr-testthat >=3.0.0”Œr-ggplot2 >=3.3.0”Œr-scales >=1.1.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ÓÌº~úhEJÚ hFˆubh)”}”(hŒ	r-tsibble”h#Œ1.1.3”h%Œr43hc72bb7e_3”h'Khhh(h)hŒ#r-tsibble-1.1.3-r43hc72bb7e_3.conda”h+Œ 6b3276017a11d9a4e653cea4e55f3911”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tsibble-1.1.3-r43hc72bb7e_3.conda”h0Œ@376e9ccae4dc9515383c91dc591857f097e35365ebef5b75a5732be648be5313”h2NhNh3(Œr-anytime >=0.3.1”Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=1.0.0”Œr-ellipsis >=0.3.0”Œ
r-generics”Œr-lifecycle”Œr-lubridate >=1.7.0”Œr-rlang >=0.4.6”Œr-tibble >=3.0.0”Œr-tidyselect >=1.0.0”Œr-vctrs >=0.3.1”t”h6(Œr-tidyr >=1.1.0”Œr-nycflights13 >=1.0.0”Œr-ggplot2 >=3.3.0”Œr-scales >=1.1.0”Œr-testthat >=3.0.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"Óá¾VhEJhÈ hFˆubh)”}”(hŒr-ttdo”h#Œ0.0.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-ttdo-0.0.9-r41hc72bb7e_0.conda”h+Œ 528df3629225ba617d63237f7f362a63”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ttdo-0.0.9-r41hc72bb7e_0.conda”h0Œ@0cabb63abded0adf6782a2c62331642e2edc62fe59c46619ba857c8a6fad65d7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-diffobj”Œr-tinytest >=1.3.1”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØý~ø÷ïžhEMÎ²hFˆubh)”}”(hŒr-ttdo”h#Œ0.0.9”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ r-ttdo-0.0.9-r41hc72bb7e_1.conda”h+Œ 589573e0538e71f7dae360b950bc0075”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ttdo-0.0.9-r41hc72bb7e_1.conda”h0Œ@f1a53ae7260e9ba22f5f7b4b6e7fc764e0aea07d9335549d810884f2c1c14154”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-diffobj”Œr-tinytest >=1.4.1”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØýŸè!‰7hEM@´hFˆubh)”}”(hŒr-ttdo”h#Œ0.0.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-ttdo-0.0.9-r42hc72bb7e_0.conda”h+Œ 91d18652233993a9e9d6c78609aa101f”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ttdo-0.0.9-r42hc72bb7e_0.conda”h0Œ@3d161c9fd90ca6b5f441f57a0fd74a59730fd1e703e7424a1ced1285102c7d73”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-diffobj”Œr-tinytest >=1.3.1”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØý~úKohEMn³hFˆubh)”}”(hŒr-ttdo”h#Œ0.0.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-ttdo-0.0.9-r42hc72bb7e_1.conda”h+Œ 38135f483e6223d483d117cbc771c2fc”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ttdo-0.0.9-r42hc72bb7e_1.conda”h0Œ@dd8d5ba0590ec9578b4af950ac970620397ad5d7762739dd8ccb316e68b6d8e4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-diffobj”Œr-tinytest >=1.4.1”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØýŸï³"ÑhEMó²hFˆubh)”}”(hŒr-ttservice”h#Œ0.3.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-ttservice-0.3.5-r41hc72bb7e_0.conda”h+Œ 06c93b52c41018207e7b3ba2a0b70eae”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ttservice-0.3.5-r41hc72bb7e_0.conda”h0Œ@c24a11c803de2de4e4e822ee2f3bbde3752a4cd65f9b7c974177a499526d942a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-matrix”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"(®¸RhEM‰‹hFˆubh)”}”(hŒr-ttservice”h#Œ0.3.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-ttservice-0.3.5-r42hc72bb7e_0.conda”h+Œ aeed34a1bbae549ed9732602bdeb7b4d”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ttservice-0.3.5-r42hc72bb7e_0.conda”h0Œ@b80d12ab301ba54ebac7034d8c802638867af7da5203dafd24657e9ac2e4aad8”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-matrix”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"(Û"ÑhEMÓŠhFˆubh)”}”(hŒr-tune”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-tune-1.1.1-r41hc72bb7e_0.conda”h+Œ 53593a8c23895e69b136730bc0f78271”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-tune-1.1.1-r41hc72bb7e_0.conda”h0Œ@d6646bf82db4022b6f81074fd885f82297ca3a5a029f40564bd51cb914cee424”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=2.0.0”Œr-dials >=0.0.10”Œr-dplyr >=1.0.0”Œ	r-foreach”Œr-generics >=0.1.2”Œ	r-ggplot2”Œr-glue”Œr-gpfit”Œr-hardhat >=0.2.0”Œr-lifecycle >=1.0.0”Œr-parsnip >=0.2.0”Œr-purrr >=0.3.2”Œr-recipes >=0.2.0”Œr-rlang >=0.4.0”Œr-rsample >=0.0.9”Œr-tibble >=3.1.0”Œr-tidyr”Œr-vctrs >=0.3.0”Œr-withr”Œr-workflows >=0.2.5”Œr-yardstick >=0.0.7”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙr“ZÐåhEJž9 hFˆubh)”}”(hŒr-tune”h#Œ1.1.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-tune-1.1.1-r42hc72bb7e_0.conda”h+Œ 0a0cbb248320cc8a2567f6a1ebe93099”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-tune-1.1.1-r42hc72bb7e_0.conda”h0Œ@183295095db1b62e167e6988599e2689349364216a394a34d636b588c1d9fcc7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=2.0.0”Œr-dials >=0.0.10”Œr-dplyr >=1.0.0”Œ	r-foreach”Œr-generics >=0.1.2”Œ	r-ggplot2”Œr-glue”Œr-gpfit”Œr-hardhat >=0.2.0”Œr-lifecycle >=1.0.0”Œr-parsnip >=0.2.0”Œr-purrr >=0.3.2”Œr-recipes >=0.2.0”Œr-rlang >=0.4.0”Œr-rsample >=0.0.9”Œr-tibble >=3.1.0”Œr-tidyr”Œr-vctrs >=0.3.0”Œr-withr”Œr-workflows >=0.2.5”Œr-yardstick >=0.0.7”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙr‰X´9hEJá5 hFˆubh)”}”(hŒr-ufs”h#Œ0.5.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-ufs-0.5.10-r41hc72bb7e_0.conda”h+Œ 26104a0908a4a52c350ff6f80d30ce1a”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ufs-0.5.10-r41hc72bb7e_0.conda”h0Œ@7b1249d58630d9cc83029fe6de9ff1fe63a12cac03957c7d7ca138563d784cfd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest >=0.6.19”Œr-diptest >=0.75.7”Œr-dplyr >=0.7.6”Œr-ggplot2 >=2.2.1”Œr-ggrepel >=0.8”Œr-ggridges >=0.5.0”Œr-gparotation”Œr-gridextra >=2.3”Œr-gtable >=0.2.0”Œr-htmltools >=0.4.0”Œr-kableextra >=1.1.0”Œr-knitr >=1.22”Œr-pander >=0.6.3”Œr-plyr >=1.8.4”Œr-pwr”Œr-rmdpartials >=0.5.8”Œr-scales >=1.0.0”Œr-suppdists >=1.1.9”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ Ú#w
=hEJaÅ hFˆubh)”}”(hŒr-ufs”h#Œ0.5.10”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-ufs-0.5.10-r42hc72bb7e_0.conda”h+Œ 529d9303435ba647b4740c0e7147a1dc”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ufs-0.5.10-r42hc72bb7e_0.conda”h0Œ@8aaea30c9bc3901df153a876d00e238634ca2fb763de0650aea5240cf239abcd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest >=0.6.19”Œr-diptest >=0.75.7”Œr-dplyr >=0.7.6”Œr-ggplot2 >=2.2.1”Œr-ggrepel >=0.8”Œr-ggridges >=0.5.0”Œr-gparotation”Œr-gridextra >=2.3”Œr-gtable >=0.2.0”Œr-htmltools >=0.4.0”Œr-kableextra >=1.1.0”Œr-knitr >=1.22”Œr-pander >=0.6.3”Œr-plyr >=1.8.4”Œr-pwr”Œr-rmdpartials >=0.5.8”Œr-scales >=1.0.0”Œr-suppdists >=1.1.9”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙ Ú
¦{hEJpÆ hFˆubh)”}”(hŒr-upsetr”h#Œ1.4.0”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ"r-upsetr-1.4.0-r42hc72bb7e_4.conda”h+Œ 143decd19fa5706c26f9b1c3b0a69b0e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-upsetr-1.4.0-r42hc72bb7e_4.conda”h0Œ@57dfe5ce2d280933d2de502076300d91926383d54b24f1f0000b7230d7621cdd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ø*&VhEJ\1 hFˆubh)”}”(hŒr-upsetr”h#Œ1.4.0”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ"r-upsetr-1.4.0-r43hc72bb7e_4.conda”h+Œ 0648d4f9af0e253e599ed56ce2ff059e”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-upsetr-1.4.0-r43hc72bb7e_4.conda”h0Œ@00eddf797eaaef54de9ae8947fbab15fb28986fc9bff2abecc3a9de3ebabfde0”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ø.*Ÿ¾hEJ‰1 hFˆubh)”}”(hŒr-urlchecker”h#Œ1.0.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-urlchecker-1.0.1-r42hc72bb7e_2.conda”h+Œ 7c2a6b64c4f57a8a0e53f0f7882f0f1a”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-urlchecker-1.0.1-r42hc72bb7e_2.conda”h0Œ@80f8cee218ebaf0fb0bb8e6240bd38b576545d99966e249a7f5264189b3a379f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-curl”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ÍrjhEMœÉhFˆubh)”}”(hŒr-urlchecker”h#Œ1.0.1”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-urlchecker-1.0.1-r43hc72bb7e_2.conda”h+Œ a1a7ae2717dc9b361cc4023f893c7ed3”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-urlchecker-1.0.1-r43hc72bb7e_2.conda”h0Œ@16ef6b569a39b1517db2f7db65131234b66677b170e4b8feb6c73f9dd2e3a9d6”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-curl”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"ÍxÃ33hEM¬ÉhFˆubh)”}”(hŒ	r-usethis”h#Œ2.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-usethis-2.2.0-r41hc72bb7e_0.conda”h+Œ 07e60ca13765a3c1ea30c4a6725ce76b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-usethis-2.2.0-r41hc72bb7e_0.conda”h0Œ@5056254ae9831d001af10ad8eccca318f1fa993cf9af250c93ebc223353f523f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-clipr >=0.3.0”Œr-crayon”Œr-curl >=2.7”Œr-desc”Œ
r-ellipsis”Œr-fs >=1.3.0”Œr-gert >=1.0.2”Œr-gh >=1.2.0”Œr-glue >=1.3.0”Œ
r-jsonlite”Œr-lifecycle”Œr-purrr”Œ
r-rappdirs”Œr-rlang >=0.4.3”Œr-rprojroot >=1.2”Œr-rstudioapi”Œ	r-whisker”Œr-withr >=2.3.0”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÂênéyhEJ hFˆubh)”}”(hŒ	r-usethis”h#Œ2.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-usethis-2.2.0-r42hc72bb7e_0.conda”h+Œ 7943350e6b7cf5f90b89c19f762fd169”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-usethis-2.2.0-r42hc72bb7e_0.conda”h0Œ@538d2d84ba9f8e522b6cc4a919d5024c9bf45f17405b49b78d213351b25ce326”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-clipr >=0.3.0”Œr-crayon”Œr-curl >=2.7”Œr-desc”Œ
r-ellipsis”Œr-fs >=1.3.0”Œr-gert >=1.0.2”Œr-gh >=1.2.0”Œr-glue >=1.3.0”Œ
r-jsonlite”Œr-lifecycle”Œr-purrr”Œ
r-rappdirs”Œr-rlang >=0.4.3”Œr-rprojroot >=1.2”Œr-rstudioapi”Œ	r-whisker”Œr-withr >=2.3.0”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙÂöÞÈ´hEJ hFˆubh)”}”(hŒ	r-usethis”h#Œ2.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-usethis-2.2.0-r42hc72bb7e_1.conda”h+Œ 09f14e4996e9e1d22ce5a1cfc4a140b3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-usethis-2.2.0-r42hc72bb7e_1.conda”h0Œ@a314e8b5a4378e78ce65c109664e4840e9cb061785f3cef393f622acefe788e1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-clipr >=0.3.0”Œr-crayon”Œr-curl >=2.7”Œr-desc”Œ
r-ellipsis”Œr-fs >=1.3.0”Œr-gert >=1.0.2”Œr-gh >=1.2.0”Œr-glue >=1.3.0”Œ
r-jsonlite”Œr-lifecycle”Œr-purrr”Œ
r-rappdirs”Œr-rlang >=0.4.3”Œr-rprojroot >=1.2”Œr-rstudioapi”Œ	r-whisker”Œr-withr >=2.3.0”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"À)/¾whEJD hFˆubh)”}”(hŒ	r-usethis”h#Œ2.2.0”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-usethis-2.2.0-r43hc72bb7e_1.conda”h+Œ 708fe2e41c9981b571d0bfa706ddc6f6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-usethis-2.2.0-r43hc72bb7e_1.conda”h0Œ@a7feeef1e61ce9cb3eee9f51724279032f3f16205bc739a2e0caa6357bc81e41”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-clipr >=0.3.0”Œr-crayon”Œr-curl >=2.7”Œr-desc”Œ
r-ellipsis”Œr-fs >=1.3.0”Œr-gert >=1.0.2”Œr-gh >=1.2.0”Œr-glue >=1.3.0”Œ
r-jsonlite”Œr-lifecycle”Œr-purrr”Œ
r-rappdirs”Œr-rlang >=0.4.3”Œr-rprojroot >=1.2”Œr-rstudioapi”Œ	r-whisker”Œr-withr >=2.3.0”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"À'àQìhEJ× hFˆubh)”}”(hŒr-vars”h#Œ1.5_9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-vars-1.5_9-r41hc72bb7e_0.conda”h+Œ ab4228cf8d17c60548154e317bbfafa0”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-vars-1.5_9-r41hc72bb7e_0.conda”h0Œ@41ef1222953e77ae9a97e9cdbdf78dd32aaf48a2eb33b32b1aa15e7602231409”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-lmtest >=0.9_26”Œr-mass”Œr-sandwich >=2.2_4”Œr-strucchange”Œr-urca >=1.1_6”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙä(QìhEJP¡ hFˆubh)”}”(hŒr-vars”h#Œ1.5_9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-vars-1.5_9-r42hc72bb7e_0.conda”h+Œ 822fb8cac36b318d55613f2e82f13bb7”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-vars-1.5_9-r42hc72bb7e_0.conda”h0Œ@64767a1808da7665fed0a01e52946729a47e28f5e8feec561e5e8e1d838c698e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-lmtest >=0.9_26”Œr-mass”Œr-sandwich >=2.2_4”Œr-strucchange”Œr-urca >=1.1_6”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙãþ†E¢hEJÛž hFˆubh)”}”(hŒr-vcd”h#Œ1.4_11”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-vcd-1.4_11-r41hc72bb7e_0.conda”h+Œ e4e683a82a4b1e11abd0aab5acde0f5c”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-vcd-1.4_11-r41hc72bb7e_0.conda”h0Œ@4e4b49d9b1dca6af8fd42fcb7b574265ecff8c1dc84743f68ceb7eb22fab17ee”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colorspace”Œr-lmtest”Œr-mass”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØö±½˜õÃhEJâJ hFˆubh)”}”(hŒr-vcd”h#Œ1.4_11”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-vcd-1.4_11-r42hc72bb7e_0.conda”h+Œ 5eef94423ebb8f1782f03dcd4b5eaff4”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-vcd-1.4_11-r42hc72bb7e_0.conda”h0Œ@97e04e1749e7fe4aa95ba247dcadef1f54926e344c313042d8413558aa0fabcd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-lmtest”Œr-mass”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØö±½Ð  hEJ8H hFˆubh)”}”(hŒr-vcd”h#Œ1.4_11”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-vcd-1.4_11-r42hc72bb7e_1.conda”h+Œ 38ccd164ce63a32dfedd9f60b854c7a1”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-vcd-1.4_11-r42hc72bb7e_1.conda”h0Œ@f8f62376d116b0e74726a1d0eacc78e7eeb9e8f429a77e78e5feec92e2e764cd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-lmtest”Œr-mass”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¹*5ÂhEJG hFˆubh)”}”(hŒr-vcd”h#Œ1.4_11”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ r-vcd-1.4_11-r43hc72bb7e_1.conda”h+Œ a57e2bff9d55463b86db352856bfd0e6”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-vcd-1.4_11-r43hc72bb7e_1.conda”h0Œ@886e158950e340bd8188eb00c4cce098262e82c25f11e47e165c7d6891dafd8e”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-colorspace”Œr-lmtest”Œr-mass”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"¹ ‹DhEJ¹; hFˆubh)”}”(hŒ
r-vcdextra”h#Œ0.8_4”h%Œr41h785f33e_0”h'K hhh(h)hŒ$r-vcdextra-0.8_4-r41h785f33e_0.conda”h+Œ c7f54d8a6498fc1368eba98a6f250cfd”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-vcdextra-0.8_4-r41h785f33e_0.conda”h0Œ@ed7c1c77dc335d85bf1e1569658c8783371ab31be85ecf0ffd154024a58b14f9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ca”Œr-dplyr”Œr-glue”Œr-gnm >=1.0.3”Œr-here”Œr-mass”Œr-purrr”Œr-readxl”Œ	r-stringr”Œr-tidyr”Œr-vcd”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ
¿c¶FhEJ•_ hFˆubh)”}”(hŒ
r-vcdextra”h#Œ0.8_4”h%Œr42h785f33e_0”h'K hhh(h)hŒ$r-vcdextra-0.8_4-r42h785f33e_0.conda”h+Œ 1f9d1b802ab6af6c0dfa7853f905e0a3”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-vcdextra-0.8_4-r42h785f33e_0.conda”h0Œ@8ce0765447e11205875bf29f8d230dd60fa875555ee45bda8d1afb959a28ceab”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ca”Œr-dplyr”Œr-glue”Œr-gnm >=1.0.3”Œr-here”Œr-mass”Œr-purrr”Œr-readxl”Œ	r-stringr”Œr-tidyr”Œr-vcd”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ
å’~úhEJÝ\ hFˆubh)”}”(hŒ
r-vcdextra”h#Œ0.8_4”h%Œr42h785f33e_1”h'Khhh(h)hŒ$r-vcdextra-0.8_4-r42h785f33e_1.conda”h+Œ ee1d9216e3a07979eba6926fd5af5684”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-vcdextra-0.8_4-r42h785f33e_1.conda”h0Œ@cd84de1f0c213e9e90bfee2150c288fafb3090694c980313b9df8768be08aef3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ca”Œr-dplyr”Œr-glue”Œr-gnm >=1.0.3”Œr-here”Œr-mass”Œr-purrr”Œr-readxl”Œ	r-stringr”Œr-tidyr”Œr-vcd”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"÷åÂ=qhEJ<b hFˆubh)”}”(hŒ
r-vcdextra”h#Œ0.8_4”h%Œr43h785f33e_1”h'Khhh(h)hŒ$r-vcdextra-0.8_4-r43h785f33e_1.conda”h+Œ 48ab5eb3ee2e0920785f9c1a9086dd2a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-vcdextra-0.8_4-r43h785f33e_1.conda”h0Œ@2d1dc05b17e884ae9b986dd775b79f3d3718c6841c3e98f8765c6b8ce7f50ecd”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-ca”Œr-dplyr”Œr-glue”Œr-gnm >=1.0.3”Œr-here”Œr-mass”Œr-purrr”Œr-readxl”Œ	r-stringr”Œr-tidyr”Œr-vcd”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"÷ð™šhEJÂS hFˆubh)”}”(hŒ	r-vetiver”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-vetiver-0.2.1-r41hc72bb7e_0.conda”h+Œ 94d4fe122455ba5c0e23e7ed4c9f297c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-vetiver-0.2.1-r41hc72bb7e_0.conda”h0Œ@7500410ce73e0730e100560266bbf039ce5f2c6575f985d855e1328b6072112b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bundle”Œr-butcher >=0.3.1”Œr-cli”Œ
r-ellipsis”Œr-fs”Œ
r-generics”Œr-glue”Œ	r-hardhat”Œr-lifecycle”Œr-magrittr >=2.0.3”Œr-pins >=1.1.0”Œr-purrr”Œ	r-rapidoc”Œr-readr >=1.4.0”Œr-rlang >=1.1.0”Œr-tibble”Œr-vctrs”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ[hýãThEJÓ hFˆubh)”}”(hŒ	r-vetiver”h#Œ0.2.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-vetiver-0.2.1-r42hc72bb7e_0.conda”h+Œ 49a44f768c33bcd02f8bdf9625ead021”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-vetiver-0.2.1-r42hc72bb7e_0.conda”h0Œ@3f648aea0085c4639300ba852d2840e8c450e0724e45e22f1f3a70f1c84eab1e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bundle”Œr-butcher >=0.3.1”Œr-cli”Œ
r-ellipsis”Œr-fs”Œ
r-generics”Œr-glue”Œ	r-hardhat”Œr-lifecycle”Œr-magrittr >=2.0.3”Œr-pins >=1.1.0”Œr-purrr”Œ	r-rapidoc”Œr-readr >=1.4.0”Œr-rlang >=1.1.0”Œr-tibble”Œr-vctrs”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ[hå`hEJj hFˆubh)”}”(hŒ	r-vioplot”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-vioplot-0.4.0-r41hc72bb7e_0.conda”h+Œ 14b8b5eade09760f88302e9a23423b1a”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-vioplot-0.4.0-r41hc72bb7e_0.conda”h0Œ@07c39aab9c07e0214e2a05db456915e952a2cf10e56b88deb83bcf8e8c3c9539”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-sm”Œr-zoo”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØäë5$ÌÍhEJ_£ hFˆubh)”}”(hŒ	r-vioplot”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-vioplot-0.4.0-r42hc72bb7e_0.conda”h+Œ c054deb330038b4b44d24c592cd78b8b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-vioplot-0.4.0-r42hc72bb7e_0.conda”h0Œ@7c3c2611ea71719ff5792cbe2244bad4d4b4ec30be6fa2d5c65619f32329598a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-sm”Œr-zoo”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØäëD^éyhEJ¸Ÿ hFˆubh)”}”(hŒr-vipor”h#Œ0.4.5”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ$r-vipor-0.4.5-r42hc72bb7e_1005.conda”h+Œ d62d977dab9efda7afcef0746530bb60”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-vipor-0.4.5-r42hc72bb7e_1005.conda”h0Œ@366f35f6f31a5c38fda087cb9714832ef0b185d0a4117739b142e24fc24d5013”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"às"ÑhEJoPB hFˆubh)”}”(hŒr-vipor”h#Œ0.4.5”h%Œr43hc72bb7e_1005”h'Míhhh(h)hŒ$r-vipor-0.4.5-r43hc72bb7e_1005.conda”h+Œ d19fe90594c60d8b5f026ce0f3ee89de”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-vipor-0.4.5-r43hc72bb7e_1005.conda”h0Œ@617ca68fad1983343015031eb1dade236aef4f666bbc631f0c74656dfd7f6f89”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAÙ"à,ìÝ/hEJMB hFˆubh)”}”(hŒ	r-viridis”h#Œ0.6.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-viridis-0.6.3-r41hc72bb7e_0.conda”h+Œ 8502ff3a06bb92a4bba056127965f9d9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-viridis-0.6.3-r41hc72bb7e_0.conda”h0Œ@6a436accd693fa900c2a7b7a48a430261e0551464c51dca11565f834442362d2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”Œr-viridislite >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ-
hEJ†- hFˆubh)”}”(hŒ	r-viridis”h#Œ0.6.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-viridis-0.6.3-r42hc72bb7e_0.conda”h+Œ c9de5abef05d204b8537910ff472c5c2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-viridis-0.6.3-r42hc72bb7e_0.conda”h0Œ@6727c45763f481a87f1855d982ff027abcd3d3ef55cb42769079c007f974ae8a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”Œr-viridislite >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ-rŸ¾hEJB”- hFˆubh)”}”(hŒ	r-viridis”h#Œ0.6.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-viridis-0.6.3-r42hc72bb7e_1.conda”h+Œ 4d548db19850f7af55b3df2e297fe4e2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-viridis-0.6.3-r42hc72bb7e_1.conda”h0Œ@a2ef298bbd6046d1e8c5af1c3d306675220c31fa363e1affa6e193a0a1f67cad”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”Œr-viridislite >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤ÛˆÄœhEJ~- hFˆubh)”}”(hŒ	r-viridis”h#Œ0.6.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-viridis-0.6.3-r43hc72bb7e_1.conda”h+Œ 8e0629db248ed86f031defcec39f63d9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-viridis-0.6.3-r43hc72bb7e_1.conda”h0Œ@47eb07eee39bbc3e82a43e813b269683bab957b7a6ebf775413c1108272ed84b”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”Œr-viridislite >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"¤Ð•‘hhEJ±”- hFˆubh)”}”(hŒr-viridislite”h#Œ0.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-viridislite-0.4.2-r42hc72bb7e_1.conda”h+Œ e7a6483f639fb958747100bd17550ed6”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-viridislite-0.4.2-r42hc72bb7e_1.conda”h0Œ@71eee5229a87da51d1ba373eae0ff62d3f29d84b1e07d5b8b67aaa75c103fdf7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"rÒª\hEJ\ä hFˆubh)”}”(hŒr-viridislite”h#Œ0.4.2”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ'r-viridislite-0.4.2-r43hc72bb7e_1.conda”h+Œ 307f6c8262afed91d2999568e2268ed6”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-viridislite-0.4.2-r43hc72bb7e_1.conda”h0Œ@29687450dd51361c7255b0ac1006290845a343598412f494cffde2166e1edfd0”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"rÉáûçhEJ‚ã hFˆubh)”}”(hŒr-visdat”h#Œ0.6.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-visdat-0.6.0-r41hc72bb7e_0.conda”h+Œ 0e4d47b39c7b5a3de54a28b5d603e7d2”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-visdat-0.6.0-r41hc72bb7e_0.conda”h0Œ@7dc5ee71e32192b3e5941a7830c4290e16da218f7a9c48f60205997aebfb7798”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-glue”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-scales”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ÷_ú(´9hEJL	 hFˆubh)”}”(hŒr-visdat”h#Œ0.6.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-visdat-0.6.0-r42hc72bb7e_0.conda”h+Œ dc9c4142003669ab84ce3150986bca06”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-visdat-0.6.0-r42hc72bb7e_0.conda”h0Œ@6a743b9b13eceeb77bdf741ba99034e891bdc2345355c18fb47c5f92c400c81f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-glue”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-scales”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ÷_ïi‡hEJZ
 hFˆubh)”}”(hŒr-visnetwork”h#Œ2.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-visnetwork-2.1.2-r42hc72bb7e_2.conda”h+Œ ce67d5fe6f3fbea38e37aefc53fc9d47”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-visnetwork-2.1.2-r42hc72bb7e_2.conda”h0Œ@8b3a3d577efeb7367b3a28d81ec1b14a36fec26a1e58b72f1417017cc9557e32”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´ðÊŸ¾hEJOÒ7 hFˆubh)”}”(hŒr-visnetwork”h#Œ2.1.2”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ&r-visnetwork-2.1.2-r43hc72bb7e_2.conda”h+Œ 363ae438e8d5f6024ba15ed3fbb60657”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-visnetwork-2.1.2-r43hc72bb7e_2.conda”h0Œ@1a21d3b5e6ce5c5efcf9c8fb206abe13c6459c33b104d52751bc220479bc13d5”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"µPhEJÞ9 hFˆubh)”}”(hŒr-visreg”h#Œ2.7.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ"r-visreg-2.7.0-r41h785f33e_0.conda”h+Œ c3ee024a7ce9ad0e445228338ca649ff”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-visreg-2.7.0-r41h785f33e_0.conda”h0Œ@85fa0f67b5b42bd9b3be95c5cb63b58a5f8284f1aea4b6e6dec3d36ae9818654”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØáF²Ÿ¾hEJW¯ hFˆubh)”}”(hŒr-visreg”h#Œ2.7.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ"r-visreg-2.7.0-r42h785f33e_0.conda”h+Œ fdd81086bdbf1810e1c2ad1e92418c00”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-visreg-2.7.0-r42h785f33e_0.conda”h0Œ@5e9be64e8e17cf818061b9e76e28556f09da90618d68a641ee5957d4aa46f22f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØá=ËdZhEJ­ hFˆubh)”}”(hŒ	r-vistime”h#Œ1.2.3”h%Œr41h785f33e_0”h'K hhh(h)hŒ#r-vistime-1.2.3-r41h785f33e_0.conda”h+Œ c98f3535a790d5c80cdf17aaa88a0940”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-vistime-1.2.3-r41h785f33e_0.conda”h0Œ@1b08591947a2541cd63bb1ee78f825f50f7d2dba0b1588c011508d5246163b9d”h2NhNh3(Œr-assertive.types >=0.0_3”Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.0.0”Œr-ggrepel >=0.7.0”Œr-plotly >=4.0.0”Œr-rcolorbrewer >=0.2.2”Œr-rlang”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØãjšüýôhEJÛV hFˆubh)”}”(hŒ	r-vistime”h#Œ1.2.3”h%Œr42h785f33e_0”h'K hhh(h)hŒ#r-vistime-1.2.3-r42h785f33e_0.conda”h+Œ da2fd13d275d1fb981e441360a4207d9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-vistime-1.2.3-r42h785f33e_0.conda”h0Œ@23d26a1eae7f7557febb00ae97b8fe53d9b9bd7bde6a384cc0afc28eadd86900”h2NhNh3(Œr-assertive.types >=0.0_3”Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.0.0”Œr-ggrepel >=0.7.0”Œr-plotly >=4.0.0”Œr-rcolorbrewer >=0.2.2”Œr-rlang”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØãjŽ|ZhEJ—S hFˆubh)”}”(hŒr-vitae”h#Œ0.5.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-vitae-0.5.3-r41hc72bb7e_0.conda”h+Œ fe04f4fa93e90aa644cecb26eb7dae42”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vitae-0.5.3-r41hc72bb7e_0.conda”h0Œ@da8d482d1536891d841df6bcbc6c023b1edfeb28903ba54e96798fe7bad974fb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-bookdown”Œr-dplyr”Œr-glue”Œr-knitr”Œr-refmanager”Œr-rlang”Œr-rmarkdown >=1.18”Œr-xfun”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙtf‘G®hEJö§ hFˆubh)”}”(hŒr-vitae”h#Œ0.5.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-vitae-0.5.3-r42hc72bb7e_0.conda”h+Œ 15d7219db8c40b29b828034ea4929d4f”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vitae-0.5.3-r42hc72bb7e_0.conda”h0Œ@dbc9beea14ace565a6ca4cfe27e4d7a1a457498f1c43d42869588b7350f1e974”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-bookdown”Œr-dplyr”Œr-glue”Œr-knitr”Œr-refmanager”Œr-rlang”Œr-rmarkdown >=1.18”Œr-xfun”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙtg/²hEJh² hFˆubh)”}”(hŒr-vsurf”h#Œ1.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-vsurf-1.2.0-r42hc72bb7e_0.conda”h+Œ 2fc145bbeaa4833a42436d967d6bb9d0”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vsurf-1.2.0-r42hc72bb7e_0.conda”h0Œ@cc1d9cc1ed22e3952ec04e9df2dcff0e2bd38a15ea51f7c3d96a90daae23cc4e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-doparallel”Œ	r-foreach”Œr-randomforest”Œr-rpart”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØæÛ}IºhEJŽ— hFˆubh)”}”(hŒr-vtree”h#Œ5.6.5”•      h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-vtree-5.6.5-r41hc72bb7e_0.conda”h+Œ 30c3960a55ed6b3c240854c6c61f137e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vtree-5.6.5-r41hc72bb7e_0.conda”h0Œ@5d6134c2b986311e9f4adbefea6a528d6dd64402509c1c28bbe0c6b015b6ff03”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-diagrammer”Œr-diagrammersvg”Œr-htmlwidgets”Œr-rsvg”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØåGRÂŸ¾hEJŸž% hFˆubh)”}”(hŒr-vtree”h#Œ5.6.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-vtree-5.6.5-r42hc72bb7e_0.conda”h+Œ 9db8d25b8e274dff7c2747eb601b3a8d”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vtree-5.6.5-r42hc72bb7e_0.conda”h0Œ@b910fb220c0ee3fc0718639b4ed5ae0ae4c25da164c9b3d082b78e19d378ab9d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-diagrammer”Œr-diagrammersvg”Œr-htmlwidgets”Œr-rsvg”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØåGD°!hEJÔž% hFˆubh)”}”(hŒr-w4mrutils”h#Œ0.0.1”h%Œr41hd8ed1ab_0”h'K hhh(h)hŒ%r-w4mrutils-0.0.1-r41hd8ed1ab_0.conda”h+Œ e1954059b03a3eff2dae69f711fcea76”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-w4mrutils-0.0.1-r41hd8ed1ab_0.conda”h0Œ@d82217ad8360a75c3663f7a3e1a51bb6fae5537cf6af9ec14e456b08a2ddab9a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAÙ\n!©ühEMD÷hFˆubh)”}”(hŒr-w4mrutils”h#Œ0.0.1”h%Œr42hd8ed1ab_0”h'K hhh(h)hŒ%r-w4mrutils-0.0.1-r42hd8ed1ab_0.conda”h+Œ 52be8e5ea161c4433474a229849f5bb9”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-w4mrutils-0.0.1-r42hd8ed1ab_0.conda”h0Œ@04083a4b9e182e2501f8d2744f01db260f710980394256df14db8b2121c7d533”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAÙ\wuOßhEM£øhFˆubh)”}”(hŒr-waldo”h#Œ0.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-waldo-0.5.1-r41hc72bb7e_0.conda”h+Œ 70a78bfe3a730e73308eb0858a78476f”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-waldo-0.5.1-r41hc72bb7e_0.conda”h0Œ@835de7b28144e9b4ee4bfb4a4166f71e8699328da30743551dde531f1b9f0c09”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-diffobj >=0.3.4”Œr-fansi”Œr-glue”Œ
r-rematch2”Œr-rlang >=1.0.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙb ‘hhEJLµ hFˆubh)”}”(hŒr-waldo”h#Œ0.5.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-waldo-0.5.1-r42hc72bb7e_0.conda”h+Œ bd166b2aa6e957938bbe9028a37d2eb1”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-waldo-0.5.1-r42hc72bb7e_0.conda”h0Œ@8f496baf80b15cfdffe4238f5ac15ae776a0a7227d261828868e79aef24e95ef”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-diffobj >=0.3.4”Œr-fansi”Œr-glue”Œ
r-rematch2”Œr-rlang >=1.0.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙb™È´hEJN´ hFˆubh)”}”(hŒr-waldo”h#Œ0.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-waldo-0.5.1-r42hc72bb7e_1.conda”h+Œ 6cc918319415daeb4ba504f0bd5d21dd”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-waldo-0.5.1-r42hc72bb7e_1.conda”h0Œ@9e2d887290cd3cda903039cc5a5b00178224dde611f95656fc00802a0d4ca17e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-diffobj >=0.3.4”Œr-fansi”Œr-glue”Œ
r-rematch2”Œr-rlang >=1.0.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"_»™šhEJ3µ hFˆubh)”}”(hŒr-waldo”h#Œ0.5.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ!r-waldo-0.5.1-r43hc72bb7e_1.conda”h+Œ 2c7f8a60c3180de955ca298bf0afd3db”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-waldo-0.5.1-r43hc72bb7e_1.conda”h0Œ@62565d34d7a17008da4ff5daef22a717dde06e1b69e27c9e48cb25c3536ac489”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli”Œr-diffobj >=0.3.4”Œr-fansi”Œr-glue”Œ
r-rematch2”Œr-rlang >=1.0.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"_ÀFùÛhEJf´ hFˆubh)”}”(hŒr-waterfalls”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-waterfalls-1.0.0-r41hc72bb7e_0.conda”h+Œ eeb96cbc0863d785290b5c23db414102”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-waterfalls-1.0.0-r41hc72bb7e_0.conda”h0Œ@ed341b1b5662fc406a2fc881278267b7ee428a3961041859130250b54427e778”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.0.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÞ’æ˜´9hEMçthFˆubh)”}”(hŒr-waterfalls”h#Œ1.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-waterfalls-1.0.0-r42hc72bb7e_0.conda”h+Œ dc4110f3a2517062750374160cb2c55f”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-waterfalls-1.0.0-r42hc72bb7e_0.conda”h0Œ@dc90cf3ca93efbffbcd772ee1a474aa7fb9356596f7c4def131054da2116b49e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.0.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÞ’âNvÉhEMsuhFˆubh)”}”(hŒ	r-webchem”h#Œ1.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-webchem-1.3.0-r41hc72bb7e_0.conda”h+Œ c3339883f97a0ae66d0467cb7d631f2c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-webchem-1.3.0-r41hc72bb7e_0.conda”h0Œ@4aa3447ba2226f668ff405fa0e4400d1c7aa240dc744f87e5815a6d50f9fba26”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.tree”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-purrr”Œr-rcurl”Œr-rvest”Œ	r-stringr”Œr-tibble”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ Ô*­`BhEJÒ— hFˆubh)”}”(hŒ	r-webchem”h#Œ1.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-webchem-1.3.0-r42hc72bb7e_0.conda”h+Œ c3d72a102771136a5336df7bd1d162de”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-webchem-1.3.0-r42hc72bb7e_0.conda”h0Œ@0e56c2cb98096108ab0d36cc33c208d4760dec523357831356a2d56f1842476a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.tree”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-purrr”Œr-rcurl”Œr-rvest”Œ	r-stringr”Œr-tibble”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ Ô6œ¼jhEJn’ hFˆubh)”}”(hŒ	r-webshot”h#Œ0.5.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-webshot-0.5.4-r42hc72bb7e_2.conda”h+Œ 4ffea99235a916de20cb82145fa45a40”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-webshot-0.5.4-r42hc72bb7e_2.conda”h0Œ@e68f9b9f911981672effdb4bf8977195523c8e415c51b263cdcf635d6bd8f9ea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"~šü‹DhEJo  hFˆubh)”}”(hŒ	r-webshot”h#Œ0.5.4”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ#r-webshot-0.5.4-r43hc72bb7e_2.conda”h+Œ f3a432ef6b9667778cc42f2a86b7c6d3”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-webshot-0.5.4-r43hc72bb7e_2.conda”h0Œ@70a7432f676943568ee8bca58fc1d1abbc988c4f1bef005a67672cefe3b5e0db”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-callr”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ"~›y&éhEJH hFˆubh)”}”(hŒ
r-webshot2”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-webshot2-0.1.0-r41hc72bb7e_0.conda”h+Œ 0e14d83f426160dcf796ee75602db5a5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-webshot2-0.1.0-r41hc72bb7e_0.conda”h0Œ@dde58d69723cccf124f95af980ecea2bc231be0147dcc2e90d5296adbd35de53”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr”Œr-chromote >=0.1.0”Œr-later”Œ
r-magrittr”Œ
r-promises”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ
¬s‚°!hEJ¶Ö hFˆubh)”}”(hŒ
r-webshot2”h#Œ0.1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-webshot2-0.1.0-r42hc72bb7e_0.conda”h+Œ cb893d477cb24a32cf4d86acd817b770”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-webshot2-0.1.0-r42hc72bb7e_0.conda”h0Œ@a2c6ca244a10386a7b03812e8a24314e4de61695d9ec8b5c2c40798b9fabbd59”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr”Œr-chromote >=0.1.0”Œr-later”Œ
r-magrittr”Œ
r-promises”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ
¬l=OßhEJzÙ hFˆubh)”}”(hŒ
r-weightit”h#Œ0.14.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-weightit-0.14.2-r41hc72bb7e_0.conda”h+Œ 88c7e71221207e9b4deaf38bf652cd2e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-weightit-0.14.2-r41hc72bb7e_0.conda”h0Œ@8f14340cc577807abcc87d5cd12ca730f25a5d6903e0bdfeb754b3dd904be48d”h2NhNh3(Œr-backports >=1.1.8”Œr-base >=4.1,<4.2.0a0”Œr-cobalt >=4.2.2”Œr-crayon”Œr-ggplot2 >=3.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ ^L‹DhEJ" hFˆubh)”}”(hŒ
r-weightit”h#Œ0.14.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-weightit-0.14.2-r42hc72bb7e_0.conda”h+Œ cd84dbfd3207578dd702cca0e91d515e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-weightit-0.14.2-r42hc72bb7e_0.conda”h0Œ@6b3ec19495ad825608c5b0d764a54070bb568f419e2922dbf443661b892578d9”h2NhNh3(Œr-backports >=1.1.8”Œr-base >=4.2,<4.3.0a0”Œr-cobalt >=4.2.2”Œr-crayon”Œr-ggplot2 >=3.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ YÊÁhEJb hFˆubh)”}”(hŒr-wemix”h#Œ4.0.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ!r-wemix-4.0.0-r41h785f33e_0.conda”h+Œ 10ede42efdde78b68972d09779996c72”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-wemix-4.0.0-r41h785f33e_0.conda”h0Œ@ec07d84a8af918ce6f5ac82affdcb13722d5b5f5ccb7fa703fa4a0dd6fa2f3c1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-lme4”Œr-matrix”Œr-matrixstats”Œr-minqa”Œr-npflow”Œ
r-numderiv”Œr-rmpfr”Œ	r-statmod”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ	&oÌí‘hEJXx	 hFˆubh)”}”(hŒr-wemix”h#Œ4.0.0”h%Œr42h785f33e_0”h'K hhh(h)hŒ!r-wemix-4.0.0-r42h785f33e_0.conda”h+Œ 890bc782fe41ef0491d278279063405a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-wemix-4.0.0-r42h785f33e_0.conda”h0Œ@5187b89f72b820973a79e664480adc1b0de3590277877aebcd038f3c87a5b6a5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-lme4”Œr-matrix”Œr-matrixstats”Œr-minqa”Œr-npflow”Œ
r-numderiv”Œr-rmpfr”Œ	r-statmod”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙ	&€PbNhEJ.|	 hFˆubh)”}”(hŒ	r-whisker”h#Œ0.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-whisker-0.4.1-r41hc72bb7e_0.conda”h+Œ 7319e553b3faa4cdf076fdc59b2d255c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-whisker-0.4.1-r41hc72bb7e_0.conda”h0Œ@afe030ea8ac3cf6d18f14e892f06005224e00e48ce7501af46df6cb226951ec5”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØäfÆáÛ#hEJÁ= hFˆubh)”}”(hŒ	r-whisker”h#Œ0.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-whisker-0.4.1-r42hc72bb7e_0.conda”h+Œ ceb8613337425f0b70259bdcd91f8626”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-whisker-0.4.1-r42hc72bb7e_0.conda”h0Œ@d86c2640b635fb107abc33925036b56d0c14c17be561174d0b2b6df9d8491e23”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØäfÆ[t¼hEJ	? hFˆubh)”}”(hŒ	r-whisker”h#Œ0.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-whisker-0.4.1-r42hc72bb7e_1.conda”h+Œ 0490a268a992e99dfaf65baddf5a5afc”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-whisker-0.4.1-r42hc72bb7e_1.conda”h0Œ@2e1ae0782f045d4f9196691e0086928f18a36f08349b109388d5ccc3c020d3c5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"~žù‡hEJ(@ hFˆubh)”}”(hŒ	r-whisker”h#Œ0.4.1”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ#r-whisker-0.4.1-r43hc72bb7e_1.conda”h+Œ 58ab247db1e1c60cb7f37c152cfad13f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-whisker-0.4.1-r43hc72bb7e_1.conda”h0Œ@df62a1da10466270725246d8ced5985e72bec515cb8ee9e5a25a92af18b6bc32”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ"~¢©&éhEJx> hFˆubh)”}”(hŒr-whoami”h#Œ1.3.0”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ"r-whoami-1.3.0-r42hc72bb7e_4.conda”h+Œ 386c17308f1803d273edc14947142b57”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-whoami-1.3.0-r42hc72bb7e_4.conda”h0Œ@a57e837a66943b7b4a057f458cd9c712f5e22c50187a8dd1d16d6a86d66af6f7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"÷æ{hEM““hFˆubh)”}”(hŒr-whoami”h#Œ1.3.0”h%Œr43hc72bb7e_4”h'Khhh(h)hŒ"r-whoami-1.3.0-r43hc72bb7e_4.conda”h+Œ c1a8acf689f8cea6bdc05b7b6ab30f78”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-whoami-1.3.0-r43hc72bb7e_4.conda”h0Œ@942972ee351685516b789aa632091093efe3001a7815f73b21aac9f6a5427f96”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"÷çN—hEMx’hFˆubh)”}”(hŒr-wiesbaden”h#Œ1.2.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-wiesbaden-1.2.9-r41hc72bb7e_0.conda”h+Œ 2979f500f90632daff992fcc41242b54”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-wiesbaden-1.2.9-r41hc72bb7e_0.conda”h0Œ@8102b8ec01ab6246401ff1701909dbc8d08b094ebe4fafc3f9dcb7dcb9136283”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr >=1.2.1”Œr-jsonlite >=1.6.0”Œr-keyring >=1.1.0”Œr-readr >=1.0.0”Œr-stringi >=1.4.0”Œr-stringr >=1.1.0”Œr-xml2 >=1.0.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØûô6b¬hEJPV hFˆubh)”}”(hŒr-wiesbaden”h#Œ1.2.9”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-wiesbaden-1.2.9-r42hc72bb7e_0.conda”h+Œ 93ed122c5ac7a0e4beb758a93d67c359”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-wiesbaden-1.2.9-r42hc72bb7e_0.conda”h0Œ@df24b0df1d188e8c72f81f63c6c40604c5b426538d8c9e479c03242b87cd8522”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr >=1.2.1”Œr-jsonlite >=1.6.0”Œr-keyring >=1.1.0”Œr-readr >=1.0.0”Œr-stringi >=1.4.0”Œr-stringr >=1.1.0”Œr-xml2 >=1.0.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØûô=E¢hEJ©V hFˆubh)”}”(hŒr-wikidataqueryservicer”h#Œ1.0.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ1r-wikidataqueryservicer-1.0.0-r42hc72bb7e_2.conda”h+Œ 2c3cc437f0f15c875536f92d0da93d32”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/r-wikidataqueryservicer-1.0.0-r42hc72bb7e_2.conda”h0Œ@72763216459fa7a7c5700353f80b79d14d07005afc5bdd844a6decb67ffd3e39”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-httr >=1.2.1”Œr-jsonlite >=1.2”Œr-purrr >=0.3.4”Œr-ratelimitr >=0.4.1”Œr-readr >=1.3.1”Œr-rex >=1.2.0”Œr-wikipedir >=1.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#E “uhEMö‚hFˆubh)”}”(hŒr-wikidataqueryservicer”h#Œ1.0.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ1r-wikidataqueryservicer-1.0.0-r43hc72bb7e_2.conda”h+Œ c69289788b0a84fffaee97283c1eb85d”h-Nh.Œ_https://conda.anaconda.org/conda-forge/noarch/r-wikidataqueryservicer-1.0.0-r43hc72bb7e_2.conda”h0Œ@f7d46d9ceae2b3a88851b55617572e51d155704a3fcfd82380daf57edd81a779”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-dplyr >=1.0.0”Œr-httr >=1.2.1”Œr-jsonlite >=1.2”Œr-purrr >=0.3.4”Œr-ratelimitr >=0.4.1”Œr-readr >=1.3.1”Œr-rex >=1.2.0”Œr-wikipedir >=1.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ#; £×hEM™‚hFˆubh)”}”(hŒr-wikipedir”h#Œ1.5.0”h%Œr42hd8ed1ab_1005”h'Míhhh(h)hŒ(r-wikipedir-1.5.0-r42hd8ed1ab_1005.conda”h+Œ 94a6334aa54fe1c820498c59d2badf9b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-wikipedir-1.5.0-r42hd8ed1ab_1005.conda”h0Œ@e16257d998708c7f20614fffa6f44935fe69737f46c1b4a70dad076c3629705b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hDGAÙ"ÆÈÎ‡+hEJR hFˆubh)”}”(hŒr-wikipedir”h#Œ1.5.0”h%Œr43hd8ed1ab_1005”h'Míhhh(h)hŒ(r-wikipedir-1.5.0-r43hd8ed1ab_1005.conda”h+Œ b3b24da557e09f271e642989b981e01b”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-wikipedir-1.5.0-r43hd8ed1ab_1005.conda”h0Œ@24cd9f4ccb3589ca58ca02eddbda8a3793f0d5961bd3e12047f374613affbc21”h2NhNh3Œr-base >=4.3,<4.4.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hDGAÙ"ÆÆ+SøhEJÁP hFˆubh)”}”(hŒr-withr”h#Œ2.5.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-withr-2.5.0-r42hc72bb7e_2.conda”h+Œ 360cdf13d5885470714618d851c3e419”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-withr-2.5.0-r42hc72bb7e_2.conda”h0Œ@9ee087056ba487add1dfa263a76ae2d36c386b51a5a1ef5ede78d11371322eba”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"¥1™šhEJª¦ hFˆubh)”}”(hŒr-withr”h#Œ2.5.0”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ!r-withr-2.5.0-r43hc72bb7e_2.conda”h+Œ 3148058273f37d73553d60fde6793c4e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-withr-2.5.0-r43hc72bb7e_2.conda”h0Œ@94f8ad67b6bee3226c9d970e2423a287b1726a9484b86279bd3dd6116da0bc2f”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAÙ"¨àÔþhEJe¥ hFˆubh)”}”(hŒr-workflows”h#Œ1.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-workflows-1.1.3-r41hc72bb7e_0.conda”h+Œ f003de7384c881130d654e8e6a8b73fb”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-workflows-1.1.3-r41hc72bb7e_0.conda”h0Œ@abae577a195797e94179aa66d59eeae53cdf2927d801c643777e1adb5f008fa4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.3.0”Œr-generics >=0.1.2”Œr-glue >=1.6.2”Œr-hardhat >=1.2.0”Œr-lifecycle >=1.0.3”Œr-modelenv >=0.1.0”Œr-parsnip >=1.0.3”Œr-rlang >=1.0.3”Œr-tidyselect >=1.2.0”Œr-vctrs >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØý-hEJO­ hFˆubh)”}”(hŒr-workflows”h#Œ1.1.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-workflows-1.1.3-r42hc72bb7e_0.conda”h+Œ bf5614814dbd7ec6c6d586d5ac553060”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-workflows-1.1.3-r42hc72bb7e_0.conda”h0Œ@a967d90bc0a93b411b390151cf187aa93584296eef785291aa42348b0deaa421”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.3.0”Œr-generics >=0.1.2”Œr-glue >=1.6.2”Œr-hardhat >=1.2.0”Œr-lifecycle >=1.0.3”Œr-modelenv >=0.1.0”Œr-parsnip >=1.0.3”Œr-rlang >=1.0.3”Œr-tidyselect >=1.2.0”Œr-vctrs >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØýdZhEJª­ hFˆubh)”}”(hŒr-workflows”h#Œ1.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-workflows-1.1.3-r42hc72bb7e_1.conda”h+Œ 1777e6c0f7419fc35924daba25e5953c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-workflows-1.1.3-r42hc72bb7e_1.conda”h0Œ@cdccf617b64503c507af6674a3b83d5163156f0234e3473257096928dfa0b048”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.3.0”Œr-generics >=0.1.2”Œr-glue >=1.6.2”Œr-hardhat >=1.2.0”Œr-lifecycle >=1.0.3”Œr-modelenv >=0.1.0”Œr-parsnip >=1.0.3”Œr-rlang >=1.0.3”Œr-tidyselect >=1.2.0”Œr-vctrs >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´ýchEJá­ hFˆubh)”}”(hŒr-workflows”h#Œ1.1.3”h%Œr43hc72bb7e_1”h'Khhh(h)hŒ%r-workflows-1.1.3-r43hc72bb7e_1.conda”h+Œ ac4efab9205685207d2b1b414e8cf45e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-workflows-1.1.3-r43hc72bb7e_1.conda”h0Œ@a36ccbae2944cd22917ea218ee81175ee3ec850b6b08bca6c09cfcd147536875”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-cli >=3.3.0”Œr-generics >=0.1.2”Œr-glue >=1.6.2”Œr-hardhat >=1.2.0”Œr-lifecycle >=1.0.3”Œr-modelenv >=0.1.0”Œr-parsnip >=1.0.3”Œr-rlang >=1.0.3”Œr-tidyselect >=1.2.0”Œr-vctrs >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"´ð9‡hEJ¯ hFˆubh)”}”(hŒr-workflowsets”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-workflowsets-1.0.1-r41hc72bb7e_0.conda”h+Œ 00d7a7506cd40156a9644ce0874d6f4e”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-workflowsets-1.0.1-r41hc72bb7e_0.conda”h0Œ@25c45fadb38506ab44cf26e39c98da66b586624324689254fbba12a9707211d4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-prettyunits”Œr-purrr”Œr-rlang”Œr-rsample >=0.0.9”Œr-tibble >=3.1.0”Œr-tidyr”Œr-tune >=0.1.3”Œr-vctrs”Œr-withr”Œr-workflows >=0.2.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙçb0“uhEJüb hFˆubh)”}”(hŒr-workflowsets”h#Œ1.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-workflowsets-1.0.1-r42hc72bb7e_0.conda”h+Œ caa5c355b6e930d259b0e5970dc66247”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-workflowsets-1.0.1-r42hc72bb7e_0.conda”h0Œ@aeca358eafad7cda966116299aab5beaf81577bff5f26e41e3e3550f17fd3d65”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-prettyunits”Œr-purrr”Œr-rlang”Œr-rsample >=0.0.9”Œr-tibble >=3.1.0”Œr-tidyr”Œr-tune >=0.1.3”Œr-vctrs”Œr-withr”Œr-workflows >=0.2.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙçl81'hEJË hFˆubh)”}”(hŒr-worrms”h#Œ0.4.2”h%Œr42h785f33e_2”h'Khhh(h)hŒ"r-worrms-0.4.2-r42h785f33e_2.conda”h+Œ 62b6ab863cdf057bd5e16dd0cbae80d8”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-worrms-0.4.2-r42h785f33e_2.conda”h0Œ@775adeea228541ea3e47fa05ff38b1116e37e1bae699b9b7768b561b5668c95d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.6.0”Œr-data.table”Œr-jsonlite >=1.1”Œr-tibble >=1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"Ó¼„(öhEJU hFˆubh)”}”(hŒr-worrms”h#Œ0.4.2”h%Œr43h785f33e_2”h'Khhh(h)hŒ"r-worrms-0.4.2-r43h785f33e_2.conda”h+Œ bb4d7b2744ac25fd538f3a1e80eadf62”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-worrms-0.4.2-r43h785f33e_2.conda”h0Œ@787994a8a599258fc777ecfe5ec326fad576942c4e39dd657315b1da4b06c13a”h2NhNh3(Œr-base >=4.3,<4.4.0a0”Œr-crul >=0.6.0”Œr-data.table”Œr-jsonlite >=1.1”Œr-tibble >=1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ÓÅv{hEJãŸ hFˆubh)”}”(hŒr-wto”h#Œ2.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-wto-2.0.2-r41hc72bb7e_0.conda”h+Œ d302c6c787c3cbaf4c93c50effefb4f8”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-wto-2.0.2-r41hc72bb7e_0.conda”h0Œ@247aa2921cf614bc8c7318b9ebf60395c5d8c9a44def4786d83659273805f50f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-hiclimr”Œr-igraph”Œ
r-magrittr”Œr-plyr”Œ
r-reshape2”Œr-rfast”Œr-som”Œr-visnetwork”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙäG3•hEJé hFˆubh)”}”(hŒr-wto”h#Œ2.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒr-wto-2.0.2-r42hc72bb7e_0.conda”h+Œ 510c280e7670d6773219e6de1ade6e39”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-wto-2.0.2-r42hc72bb7e_0.conda”h0Œ@0c10d2b34eb011b16d16a7321d01de98cd6b9d679e05eaa1370cade4a915bbf8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œ	r-hiclimr”Œr-igraph”Œ
r-magrittr”Œr-plyr”Œ
r-reshape2”Œr-rfast”Œr-som”Œr-visnetwork”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAÙäUYxÕhEJ×ç hFˆubh)”}”(hŒ
r-xaringan”h#Œ0.28”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-xaringan-0.28-r41hc72bb7e_0.conda”h+Œ 8f645bcc86d01e3716bbdb758bbddfcb”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-xaringan-0.28-r41hc72bb7e_0.conda”h0Œ@d333c0653664b256469daf1fa25092fe1ce8f579aef821319fb902a4f31ac54c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-knitr >=1.30”Œr-rmarkdown >=2.8”Œr-servr >=0.13”Œr-xfun >=0.18”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæ-?`QìhEJÅÚ hFˆubh)”}”(hŒ
r-xaringan”h#Œ0.28”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-xaringan-0.28-r42hc72bb7e_0.conda”h+Œ 318e35a824b7c97426085e66d1a93221”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-xaringan-0.28-r42hc72bb7e_0.conda”h0Œ@faef52c5fac8aa596d32634aa878fbf4fe7d0f08c54a55948e52def68b366c15”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œr-knitr >=1.30”Œr-rmarkdown >=2.8”Œr-servr >=0.13”Œr-xfun >=0.18”t”h9hºh@ŒMIT”hBŒMIT”hDGAØæ-LõãThEJ­Ù hFˆubh)”}”(hŒr-xefun”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-xefun-0.1.4-r41hc72bb7e_0.conda”h+Œ 32cfdf29c26252945b0c1654dd7290c4”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-xefun-0.1.4-r41hc72bb7e_0.conda”h0Œ@1ec88987cdb3f3c772c44f35ba7df763ba0361ebabc95cf50d727d7fcc601dbb”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ\e-ó¶hEMûÍhFˆubh)”}”(hŒr-xefun”h#Œ0.1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-xefun-0.1.4-r42hc72bb7e_0.conda”h+Œ a1d7bae02979ccf858590ab50f2056a0”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-xefun-0.1.4-r42hc72bb7e_0.conda”h0Œ@5588c569e3a904a9a4a5facc026878d8cf7764835dee020f7ebec1e973f3f90d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAÙ\^‡¾whEMNÎhFˆubh)”}”(hŒr-xicor”h#Œ0.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-xicor-0.4.1-r41hc72bb7e_0.conda”h+Œ ad263c0c1e148c0c883dab7db21db149”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-xicor-0.4.1-r41hc72bb7e_0.conda”h0Œ@f217239f107cedde653bebea33346e581350a653f2d52d1b66baf8815e67bea5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-psychtools”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ²—õÃhEMßøhFˆubh)”}”(hŒr-xicor”h#Œ0.4.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-xicor-0.4.1-r42hc72bb7e_0.conda”h+Œ a80d5e164664c46a0489f405d8b704fc”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-xicor-0.4.1-r42hc72bb7e_0.conda”h0Œ@451823fd0755b7b9d6e18fce150f511e731a8441cbe5b79ee34888ceb3130b85”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-psychtools”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ²‘oß;hEMmúhFˆubh)”}”(hŒr-xlconnect”h#Œ1.0.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-xlconnect-1.0.7-r41hc72bb7e_0.conda”h+Œ 086520e64e37e393def9f85305f9d9e7”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-xlconnect-1.0.7-r41hc72bb7e_0.conda”h0Œ@f740f306bce4b7e68f3757eb3581ebeb97af7f97061821cae241cf897bd232ce”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôh}¡ËhEJÀ¯IhFˆubh)”}”(hŒr-xlconnect”h#Œ1.0.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-xlconnect-1.0.7-r42hc72bb7e_0.conda”h+Œ ccf6646899229818dfb4ab121db44d4e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-xlconnect-1.0.7-r42hc72bb7e_0.conda”h0Œ@db96577107bc312fbd2b33c5a495665ee5fc53c18103d49bacc3be2ecaec1e6a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØôdyXhEJ`IhFˆubh)”}”(hŒr-xmlparsedata”h#Œ1.0.5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-xmlparsedata-1.0.5-r42hc72bb7e_2.conda”h+Œ 2f3614450b54f222c1eff786ec2a45ec”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-xmlparsedata-1.0.5-r42hc72bb7e_2.conda”h0Œ@0a705a965c3632005264d228fbe033428a95facb76b2318dbc4ee693714991bc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"ej"ÑhEM&lhFˆubh)”}”(hŒr-xmlparsedata”h#Œ1.0.5”h%Œr43hc72bb7e_2”h'Khhh(h)hŒ(r-xmlparsedata-1.0.5-r43hc72bb7e_2.conda”h+Œ a973f1f52947adda7b4cd1ea3c2f9941”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-xmlparsedata-1.0.5-r43hc72bb7e_2.conda”h0Œ@2f35b824dae9b99ac21969e20501d352878551930f3c2853091ee16bde08bc24”h2NhNh3Œr-base >=4.3,<4.4.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÙ"e`ãçmhEMJlhFˆubh)”}”(hŒr-xopen”h#Œ1.0.0”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ$r-xopen-1.0.0-r42hc72bb7e_1005.conda”h+Œ 5a3e7fb0eb2ebd3d3a775f455d03a61f”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-xopen-1.0.0-r42hc72bb7e_1005.conda”h0Œ@fecf62e9c0684bd4d23877953983e427733f1a67cead9e03b3f54645a2e30c55”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
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pyzmq >=17”Œruamel.yaml”t”h9h?h@Œ
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jsonschema”Œnumpy >=1.9.0,<2.0”Œpackaging >=20.0”Œpandas”Œpathos”Œplatformdirs”Œprotobuf >=3.1,<4.0”Œprotobuf3-to-dict >=0.1.5,<1.0”Œpython >=3.6”Œ
pyyaml 6.0”Œschema”Œsmdebug-rulesconfig 1.0.1”Œtblib 1.7.0”t”h9h?h@Œ
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jsonschema”Œnumpy >=1.9.0,<2.0”Œpackaging >=20.0”Œpandas”Œpathos”Œplatformdirs”Œprotobuf >=3.1,<4.0”Œprotobuf3-to-dict >=0.1.5,<1.0”Œpython >=3.6”Œ
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lxml >=2.3”Œpytango >=9.2.5”Œpython >=3.5”Œtaurus-core >=5.0.0”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAÙ÷DÏ²hEJ:Ã	 hFˆubh)”}”(hŒsardana-icepap”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'sardana-icepap-2.0.0-pyhd8ed1ab_0.conda”h+Œ 31294dc646d781c2b55f6a1b822875e6”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/sardana-icepap-2.0.0-pyhd8ed1ab_0.conda”h0Œ@b46b5d5ab0bcf438f0b373c0623d2ca0a02df78afc60edb8d336ea59f4a6163a”h2NhNh3Œicepap”Œpython >=3.6”Œsardana”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØß:Ö£çmhEMh‘hFˆubh)”}”(hŒ
sardana-qt”h#Œ3.4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#sardana-qt-3.4.0-pyhd8ed1ab_1.conda”h+Œ e554561d6a4d75d31c142e526d7f3c7f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sardana-qt-3.4.0-pyhd8ed1ab_1.conda”h0Œ@7f8f014b4484ca32e12b66e42d4522c3af9fed46b14c67dade8841f4aa8ad254”h2NhNh3Œpython”Œsardana-core 3.4.0 pyhd8ed1ab_1”Œtaurus-qt >=5.0.0”‡”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAÙ÷Kg
=hEM¯hFˆubh)”}”(hŒsardem”h#Œ0.11.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ sardem-0.11.3-pyhd8ed1ab_0.conda”h+Œ 459be3a0db808b41080f0b5d41abc40d”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sardem-0.11.3-pyhd8ed1ab_0.conda”h0Œ@70bf6c3affbfdf8c5fef648a7f4a52d2ede34bb29e446a841211d2210cf64d45”h2NhNh3Œnumpy”Œpython >=3.6”Œrequests”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ|_PhEM-|hFˆubh)”}”(hŒsarpy”h#Œ1.3.42”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsarpy-1.3.42-pyhd8ed1ab_0.conda”h+Œ 6ad45ff66d3b0e20aafcf858242f5a61”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/sarpy-1.3.42-pyhd8ed1ab_0.conda”h0Œ@74e56d739e0034080a6d0e535fcb015a687700fea3479e56f59a67dc85e8dcd1”h2NhNh3(Œh5py”Œlxml”Œ
matplotlib”Œnumpy >=1.11.0”Œpillow”Œpytest”Œpython >=3.6”Œscipy”Œ
smart_open”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙŽ.+hEJz7 hFˆubh)”}”(hŒsarsen”h#Œ0.9.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsarsen-0.9.3-pyhd8ed1ab_0.conda”h+Œ a9bc586bd24a46843481420c7a645195”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/sarsen-0.9.3-pyhd8ed1ab_0.conda”h0Œ@b6be59ed8d3fc9fd2462d6b750ad65564031554a55087139728b2367aebf2c2a”h2NhNh3(Œattrs”Œflox”Œnumpy”Œpandas”Œpython >=3.8”Œrasterio”Œ	rioxarray”Œtyper”Œxarray >=2022.06.0”Œxarray-sentinel >=0.9.3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØâ2	r¬hEMÒ_hFˆubh)”}”(hŒsas7bdat-converter”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+sas7bdat-converter-2.0.0-pyhd8ed1ab_0.conda”h+Œ 800a5da809abd2326eea6e4b62a4590d”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sas7bdat-converter-2.0.0-pyhd8ed1ab_0.conda”h0Œ@cfbc3433ba72d96215b7241ceecdf45903522a5fc0bdcb8914843a621c0e92c0”h2NhNh3(Œopenpyxl >=3.0.5”Œpandas >=1.2.0”Œpyarrow >=8.0.0”Œpython >=3.7,<4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÇOÎÙhEMâ3hFˆubh)”}”(hŒ
sas_kernel”h#Œ2.4.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sas_kernel-2.4.13-pyhd8ed1ab_0.conda”h+Œ 7dfd5cb9ec75c3883c83fdd4a5bb4152”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sas_kernel-2.4.13-pyhd8ed1ab_0.conda”h0Œ@a10e1281eaff50dc96f6f2f56344029a12ca153ab41c255c3b165bd45ba85a6a”h2NhNh3(Œipython >=7”Œjupyter_client >=6”Œmetakernel >=0.27.5”Œpython >=3.9”Œsaspy >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØâ¢Ï¡ËhEMÜhFˆubh)”}”(hŒ	sasmodels”h#Œ1.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sasmodels-1.0.7-pyhd8ed1ab_0.conda”h+Œ 575a684c17a4f3d6b4ef7c92e3f57b70”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sasmodels-1.0.7-pyhd8ed1ab_0.conda”h0Œ@db82938f1e9129726dd9371278c0459d5f57789facb25780978c165dce07c6df”h2NhNh3(Œbumps”Œnumpy”Œpyopencl”Œpython >=3.6”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙhb\hEJnj hFˆubh)”}”(hŒsaspy”h#Œ5.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsaspy-5.2.1-pyhd8ed1ab_0.conda”h+Œ b5ccb26c0be98931c0218c46fd3b5889”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/saspy-5.2.1-pyhd8ed1ab_0.conda”h0Œ@4214459e6bb13266b8dc3a7a545b7073c744c80ad76290cbaefac87fc5f401cf”h2NhNh3(Œipython >=4”Œpandas”Œpygments”Œ
python >=3”t”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAÙäæ°´9hEJ|’ hFˆube(h)”}”(hŒsat-stac”h#Œ0.4.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!sat-stac-0.4.1-pyhd8ed1ab_1.conda”h+Œ 04b24c90181fb1f27c4e2ed2ffc02cb3”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/sat-stac-0.4.1-pyhd8ed1ab_1.conda”h0Œ@18a7618736052ee06554af59fd98444a647aa9a2e56fa017b6f1c0740839e8c6”h2NhNh3Œpython >=3.6”Œpython-dateutil >=2.7.5”Œrequests >=2.19.1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØù­û¬Ý/hEMKhFˆubh)”}”(hŒsatpy”h#Œ0.42.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsatpy-0.42.2-pyhd8ed1ab_0.conda”h+Œ ae797a09f209b8c9d0d793a70b287a7b”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/satpy-0.42.2-pyhd8ed1ab_0.conda”h0Œ@46982822c80160b7f48e4c7284afa8eca3c9433b4253123b7879b87b7a9606da”h2NhNh3(Œappdirs”Œdask >=0.17.1”Œdonfig”Œh5py”Œnetcdf4”Œnumpy >=1.4.1”Œpillow”Œpooch”Œ	pyorbital”Œpyproj”Œpyresample >=1.10.3”Œ
pyspectral”Œpython >=3.8”Œpyyaml”Œtrollimage >=1.5.1”Œ	trollsift”Œxarray >=0.10.1”Œzarr”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL3”hDGAÙÏÖ§ðhEJc hFˆubh)”}”(hŒsbol_factory”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%sbol_factory-1.1.1-pyhd8ed1ab_0.conda”h+Œ 9d2e23a6c7a2611a4b3995c68c5a01b0”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/sbol_factory-1.1.1-pyhd8ed1ab_0.conda”h0Œ@7d4d884f3dfc2272c748dc9c467c28e9134c8802ce955672c2863dc10c9003b0”h2NhNh3(Œpylatex”Œpypdf2”Œpysbol3 >=1.0.1”Œpyshacl >=0.13.3”Œpython >=3.7”Œpython-dateutil >=2.8.1”Œpython-graphviz”Œrequests”Œsparqlwrapper >=1.8.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØð/bNhEJßÞ hFˆubh)”}”(hŒsbt”h#Œ1.9.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒsbt-1.9.0-hd8ed1ab_0.conda”h+Œ c83e34b1cf3399f1ea6a0b9515dcb7b0”h-Nh.ŒHhttps://conda.anaconda.org/conda-forge/noarch/sbt-1.9.0-hd8ed1ab_0.conda”h0Œ@f890d8cf7c7c2b8cabe3cb51c505b19f934f41e51a9ff4cf3d067be38eff16f8”h2NhNh3Œ__unix”Œopenjdk >=8”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ…ž
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python >=3”Œsidpy >=0.0.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÍê~úhEM|¿hFˆubh)”}”(hŒscikit-base-all-extras”h#Œ0.4.5”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ/scikit-base-all-extras-0.4.5-pyh1a96a4e_0.conda”h+Œ 540a683983f0a705237e1c29e41c1ede”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/scikit-base-all-extras-0.4.5-pyh1a96a4e_0.conda”h0Œ@5c7bcb7e98de313fa1c32970bef53b109587ef7daacb4f79381fde624c254e77”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.7,<3.12”Œ!scikit-base 0.4.5 py310hfdc917e_0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ=×²hEM	hFˆubh)”}”(hŒscikit-base-all-extras”h#Œ0.4.5”h%Œpyh44b312d_0”h'K hhh(h)hŒ/scikit-base-all-extras-0.4.5-pyh44b312d_0.conda”h+Œ f4e5fbca51b09e15bb1e2c70811d36d1”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/scikit-base-all-extras-0.4.5-pyh44b312d_0.conda”h0Œ@cadcb2117323983ef0801a2e5fb426d0c3f52995f6d3baa1dfcb4f525db360d5”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.7,<3.12”Œ scikit-base 0.4.5 py38h0df68fb_0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ=G¾whEMhFˆubh)”}”(hŒscikit-base-all-extras”h#Œ0.4.5”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ/scikit-base-all-extras-0.4.5-pyh6c4a22f_0.conda”h+Œ 38573febb30e98183733d436d6516786”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/scikit-base-all-extras-0.4.5-pyh6c4a22f_0.conda”h0Œ@3d466230c16e085d33c9a024e2097a6f46b09c43262d384dccc0aba2f8fd6fb3”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.7,<3.12”Œ scikit-base 0.4.5 py39h22c7aae_0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ=SøhEMûhFˆubh)”}”(hŒscikit-base-all-extras”h#Œ0.4.5”h%Œpyhca7485f_0”h'K hhh(h)hŒ/scikit-base-all-extras-0.4.5-pyhca7485f_0.conda”h+Œ cb275d4ea184d80ba6ee3a60655a0de2”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/scikit-base-all-extras-0.4.5-pyhca7485f_0.conda”h0Œ@d0c3eb578fc2a1d05a7653e0ea4bfd8eace875bf7bd8ffd947c6b831a2ed6407”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.7,<3.12”Œ!scikit-base 0.4.5 py311h781c19f_0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ=ehEM(hFˆubh)”}”(hŒscikit-build”h#Œ0.17.6”h%Œpyh4af843d_0”h'K hhh(h)hŒ&scikit-build-0.17.6-pyh4af843d_0.conda”h+Œ 7dc8041c8fe93f90a2688120839e6b7b”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/scikit-build-0.17.6-pyh4af843d_0.conda”h0Œ@aafdf1d5a104e35db8c6016d1de3a40a0017d5fd88432d89dd0f712db2e5868b”h2NhNh3(Œdistro”Œ	packaging”Œpython >=3.7”Œ
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Apache-2.0”hBŒAPACHE”hDGAÙâÝ‘hhEMÃ·hFˆubh)”}”(hŒscooby”h#Œ0.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒscooby-0.7.2-pyhd8ed1ab_0.conda”h+Œ 570483ac6e31c1b5461ee7c494f97a4d”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/scooby-0.7.2-pyhd8ed1ab_0.conda”h0Œ@320ea25a5e4b6516d31582f6c3d873992ea1edb733a5781e77975a389259f5f2”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙU1¬“hEMMQhFˆubh)”}”(hŒscp”h#Œ0.14.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒscp-0.14.5-pyhd8ed1ab_0.conda”h+Œ d1b789d78844fa6711b57f0c17a842d0”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/scp-0.14.5-pyhd8ed1ab_0.conda”h0Œ@81daa3b943da1ef96f3a4a1e86270892f6e845e70c538b638daeea706c842901”h2NhNh3Œparamiko”Œpython >=3.6”†”h9h?h@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØö`Ìô9XhEM·6hFˆubh)”}”(hŒscreed”h#Œ1.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒscreed-1.1.2-pyhd8ed1ab_0.conda”h+Œ 2cea9810375cdb57c2e3e38cfe62086c”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/screed-1.1.2-pyhd8ed1ab_0.conda”h0Œ@b70d176e9bea3b5c065f47d1f8a8f22ccc0356e787ad44308182d2238b7a067a”h2NhNh3Œpython >=3.7”Œ
setuptools”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØüZxÄœhEJ?T hFˆubh)”}”(hŒscriptengine”h#Œ0.14.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&scriptengine-0.14.4-pyhd8ed1ab_0.conda”h+Œ 591aef466922962e56e17a71b1f4559d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/scriptengine-0.14.4-pyhd8ed1ab_0.conda”h0Œ@0d835b6b0533617091c67cc65e01eebed77a99499ffdc8e1e275e46522c2078a”h2NhNh3(Œdeepdiff >=6.2.2”Œ	deepmerge”Œjinja2”Œpython >=3.6”Œpython-dateutil”Œpyyaml”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØôò™JÀƒhEM>£hFˆubh)”}”(hŒscriptengine-tasks-ecearth”h#Œ0.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3scriptengine-tasks-ecearth-0.6.3-pyhd8ed1ab_0.conda”h+Œ d68fbad7d508ce6bcd117fbb27da8d75”h-Nh.Œahttps://conda.anaconda.org/conda-forge/noarch/scriptengine-tasks-ecearth-0.6.3-pyhd8ed1ab_0.conda”h0Œ@db7322353aecafbd560731c875c51fa5438f6218370f1dd103d05dd85d75ce4f”h2NhNh3(Œcartopy >=0.20”Œimageio >=2.18”Œmatplotlib-base >=3.1”Œnumpy >=1.18”Œpython >=3.7”Œpython-redmine”Œpyyaml >=5.1”Œ)scitools-iris !=3.2.0,!=3.2.0.post0,>=3.1”Œscriptengine >=0.8.1”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØáÄŽD¼jhEM¦ŒhFˆubh)”}”(hŒscriptengine-tasks-hpc”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/scriptengine-tasks-hpc-0.6.0-pyhd8ed1ab_0.conda”h+Œ 6aa0cacdff8b3a6979608b6443e03867”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/scriptengine-tasks-hpc-0.6.0-pyhd8ed1ab_0.conda”h0Œ@da1f8a9954fe2fb68b55bfaf830b8c709849802a4518fb188b5f59a6a00b9971”h2NhNh3Œpython >=3.6”Œscriptengine >=0.8.0”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙS3|Ý/hEM¤UhFˆubh)”}”(hŒ	scspell3k”h#Œ2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ scspell3k-2.2-pyhd8ed1ab_0.conda”h+Œ 0a32ccac58687585591f135925c18f84”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/scspell3k-2.2-pyhd8ed1ab_0.conda”h0Œ@6ebc0512282f49a3354c7a8144ba71d75920c3f64ec1d0c64f6a718340043fe5”h2NhNh3Œpython >=3.2”…”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØàß`jñªhEJ¶‡ hFˆubh)”}”(hŒ
scvi-tools”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#scvi-tools-1.0.0-pyhd8ed1ab_0.conda”h+Œ 1103c7aa19eb0b2c75e425e48de13e60”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/scvi-tools-1.0.0-pyhd8ed1ab_0.conda”h0Œ@493dc39a3ae480052e8832afe7f1b88b585ea49a8bfd2e9443ac949e5daa05b3”h2NhNh3(Œanndata >=0.7.5”Œdocrep >=0.3.2”Œflax >=0.4.0”Œh5py >=2.9.0”Œjax >=0.4.4”Œjaxlib >=0.4.3”Œlightning >=2.0,<2.1”Œml-collections >=0.1.1”Œmudata >=0.1.2”Œnumpy >=1.17.0”Œnumpyro >=0.12.1”Œopenpyxl >=3.0”Œoptax”Œpandas >=1.0”Œpyro-ppl >=1.6.0”Œpython >=3.9”Œpytorch >=1.8.0”Œrich >=12.0.0”Œscikit-learn >=0.21.2”Œsparse >=0.14.0”Œtorchmetrics >=0.11.0”Œtqdm >=4.56.0”Œxarray >=2023.2.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙœ“ohEJû9 hFˆubh)”}”(hŒscyjava”h#Œ1.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ scyjava-1.9.0-pyhd8ed1ab_0.conda”h+Œ 7eb07ddfdd5d1026820b9c94f3ff99ce”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/scyjava-1.9.0-pyhd8ed1ab_0.conda”h0Œ@02ab80c3dbb235012079eccd929fb0f17a0921c65229fa0a284b6337afd95390”h2NhNh3(Œjgo”Œjpype1 >=1.3.0”Œmaven”Œopenjdk”Œpython >=3.7”t”h9h?h@Œ	Unlicense”hBŒPUBLIC-DOMAIN”hDGAØý4n/l‹hEM#hhFˆubh)”}”(hŒsdformat-mjcf”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&sdformat-mjcf-0.1.2-pyhd8ed1ab_0.conda”h+Œ 8a2863941ba3595a6cbf01e6876a9663”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/sdformat-mjcf-0.1.2-pyhd8ed1ab_0.conda”h0Œ@c45e000a519e1a24a553c1eea867dabe7b32b008b31353bb879081b5f89e72b1”h2NhNh3(Œ
dm-control”Œgz-math7-python”Œpython >=3.7”Œsdformat13-python”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØôr¨[Æ¨hEJµq	 hFˆubh)”}”(hŒsdgym”h#Œ0.7.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒsdgym-0.7.0-pyh1a96a4e_0.conda”h+Œ 168e8822480cac78b576204e249f3034”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/sdgym-0.7.0-pyh1a96a4e_0.conda”h0Œ@874254983964e52612e7f92270e1f941abab96518bd34b39e1b50899266d72e8”h2NhNh3(Œanyio”Œappdirs >=1.3,<2”Œboto3 >=1.15.0,<2”Œbotocore >=1.18,<2”Œcompress-pickle >=1.2.0,<3”Œhumanfriendly >=8.2,<11”Œnumpy >=1.20.0,<2”Œpandas >=1.1.3,<2”Œpsutil >=5.7,<6”Œpython >=3.7,<3.11”Œpytorch >=1.8.0,<3”Œrdt >=1.3.0,<2.0”Œscikit-learn >=0.24,<2”Œscipy >=1.5.4,<2”Œsdmetrics >=0.9.1,<1.0”Œsdv >=1.0.0,<2.0”Œtabulate >=0.8.3,<0.9”Œtqdm >=4.15,<5”Œxlsxwriter >=1.2.8,<4”t”h9h?h@ŒBUSL-1.1”hDGAÙ"Zk33hEMÕ“hFˆubh)”}”(hŒ	sdmetrics”h#Œ0.10.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#sdmetrics-0.10.1-pyhd8ed1ab_0.conda”h+Œ 06689e332f00ea28f4d9a89a5f2f8422”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sdmetrics-0.10.1-pyhd8ed1ab_0.conda”h0Œ@f51a0b4a82230df48a52ad388fdfd483ffa97d5fc2a849906db5e65a45697540”h2NhNh3(Œcopulas >=0.9.0,<0.10”Œnumpy >=1.20.0,<2”Œpandas >=1.1.3”Œplotly >=5.10.0,<6”Œpython >=3.7,<3.11”Œscikit-learn >=0.24,<2”Œscipy >=1.5.4,<2”Œtqdm >=4.15,<5”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙë­¨ÔþhEJâÑ hFˆubh)”}”(hŒ
sdt-python”h#Œ18.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ"sdt-python-18.0-pyh1a96a4e_0.conda”h+Œ dc9dd17f882f8282deea61530b5aec45”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sdt-python-18.0-pyh1a96a4e_0.conda”h0Œ@362e75be04de522cd6cc2856b76457b0f5ea76a697e2a98ce5b1134ae23828f0”h2NhNh3(Œimageio >=2.29”Œmatplotlib-base”Œnumba”Œnumpy >=1.10”Œopencv”Œpandas”Œpyqt”Œpytables”Œpython >=3.9”Œpywavelets >=0.3.0”Œpyyaml”Œscipy >0.18”Œtifffile >=0.14.0”t”h9h?h@ŒBSD-3-Clause”hDGAÙ!ÌIe`BhEJ_  hFˆubh)”}”(hŒsdv”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsdv-1.2.0-pyhd8ed1ab_0.conda”h+Œ db38af711560ede1d4f3ed4010f74549”h-Nh.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sdv-1.2.0-pyhd8ed1ab_0.conda”h0Œ@3e9fb1e9940388bdd9eacdcc117499342c315e00e6dc4c995e20a66a604a8c6f”h2NhNh3(Œboto3 >=1.15.0,<2”Œbotocore >=1.18,<2”Œcloudpickle >=2.1.0,<3.0”Œcopulas >=0.9.0,<0.10”Œctgan >=0.7.2,<0.8”Œdeepecho >=0.4.1,<0.5”Œfaker >=10.0.0,<15”Œnumpy >=1.20.0,<2”Œpandas >=1.1.3”Œpython >=3.7,<3.11”Œpython-graphviz >=0.13.2,<1”Œrdt >=1.5.0,<2”Œsdmetrics >=0.10.0,<0.11”Œtqdm >=4.15,<5”t”h9h?h@ŒBUSL-1.1”hDGAÙ «TîÙhEJèq hFˆubh)”}”(hŒseaborn”h#Œ0.12.2”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒseaborn-0.12.2-hd8ed1ab_0.conda”h+Œ 50847a47c07812f88581081c620f5160”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/seaborn-0.12.2-hd8ed1ab_0.conda”h0Œ@5da994167d7ab394295a73feb26330704c625a78633cba3375628951060dfffc”h2NhNh3Œ!seaborn-base >=0.12.2,<0.12.3.0a0”Œstatsmodels >=0.10”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØì¥³×
hEM¾hFˆubh)”}”(hŒseaborn-base”h#Œ0.12.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&seaborn-base-0.12.2-pyhd8ed1ab_0.conda”h+Œ cf88f3a1c11536bc3c10c14ad00ccc42”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.12.2-pyhd8ed1ab_0.conda”h0Œ@92e4368ff90873716c637f6bd957506cf39288f9230bd7c75ca13082f5c8d7a1”h2NhNh3(Œmatplotlib-base >=3.1,!=3.6.1”Œnumpy >=1.17,!=1.24.0”Œpandas >=0.25”Œpython >=3.7”Œscipy >=1.3”Œtyping_extensions”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØì¤/l‹hEJË‰ hFˆubh)”}”(hŒseaborn-image”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&seaborn-image-0.6.0-pyhd8ed1ab_0.conda”h+Œ 41109206ba2135a6bf566accc2257272”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/seaborn-image-0.6.0-pyhd8ed1ab_0.conda”h0Œ@197780c4cdacffaa4529124260080aa545a7b264fc4e12a124304e5cba7bf62d”h2NhNh3(Œimportlib_metadata”Œmatplotlib-base”Œmatplotlib-scalebar”Œ
palettable”Œpooch”Œpython >=3.8,<3.11”Œscikit-image >=0.17.2”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÐ÷G hEMohFˆubh)”}”(hŒseamm”h#Œ	2023.5.29”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"seamm-2023.5.29-pyhd8ed1ab_0.conda”h+Œ deda586b2ecdf4f7fd90d58b986218eb”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/seamm-2023.5.29-pyhd8ed1ab_0.conda”h0Œ@80276912ce86dcc96cfa9b0df5d95cbee2bc4ec78f1c565c980a680d5b2c0e11”h2NhNh3(Œbibtexparser”Œ	fasteners”Œhumanize”Œjinja2”Œ	molsystem”Œnumpy”Œ	packaging”Œpandas”Œpillow”Œpmw”Œ
py-cpuinfo”Œpython >=3.8”Œpython-dateutil”Œpyuca”Œreference-handler”Œseamm-dashboard-client”Œseamm-datastore”Œseamm-ff-util”Œ
seamm-util”Œseamm-widgets”Œ	stevedore”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAÙBbH  hEJ/< hFˆubh)”}”(hŒseamm-dashboard”h#Œ2023.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+seamm-dashboard-2023.4.3-pyhd8ed1ab_0.conda”h+Œ 4f7daa9e14ae84919c2458dda36474c1”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/seamm-dashboard-2023.4.3-pyhd8ed1ab_0.conda”h0Œ@187d922d027fadd6d3eb2479450464e0cbbb0276f9a9c3daf039c1a16209e922”h2NhNh3(Œconnexion >=2.7”Œemail-validator”Œ	fasteners”Œ
flask >2.0”Œflask-authorize”Œflask-bootstrap”Œflask-compress”Œ
flask-cors”Œflask-jwt-extended >=4.1.0”Œ
flask-mail”Œflask-marshmallow”Œflask-moment”Œflask-sqlalchemy”Œ	flask-wtf”Œpython >=3.8”Œrequests”Œseamm-datastore”Œ
seamm-util”Œsix”Œsqlalchemy <2.0”Œswagger-ui-bundle”Œwaitress”Œwtforms”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ#D¨£×hEJƒ hFˆubh)”}”(hŒseamm-dashboard”h#Œ2023.4.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ+seamm-dashboard-2023.4.3-pyhd8ed1ab_1.conda”h+Œ c6de346964fbe159490e57d711dc0c14”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/seamm-dashboard-2023.4.3-pyhd8ed1ab_1.conda”h0Œ@212ee54a253d84e62ac38e6111f2a6b06c5fe2ec6babe2c36174b499b1f5e3f4”h2NhNh3(Œconnexion >=2.7”Œemail-validator”Œ	fasteners”Œ
flask >2.0”Œflask-authorize”Œflask-bootstrap”Œflask-compress”Œ
flask-cors”Œflask-jwt-extended >=4.1.0”Œ
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send2trash”h#Œ1.8.2”h%Œpyh41d4057_0”h'K hhh(h)hŒ#send2trash-1.8.2-pyh41d4057_0.conda”h+Œ ada5a17adcd10be4fc7e37e4166ba0e2”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.2-pyh41d4057_0.conda”h0Œ@e74d3faf51a6cc429898da0209d95b209270160f3edbf2f6d8b61a99428301cd”h2NhNh3Œ__linux”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙkúMÓhEM%YhFˆubh)”}”(hŒ
send2trash”h#Œ1.8.2”h%Œpyhd1c38e8_0”h'K hhh(h)hŒ#send2trash-1.8.2-pyhd1c38e8_0.conda”h+Œ 2657c3de5371c571aef6678afb4aaadd”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.2-pyhd1c38e8_0.conda”h0Œ@dca4022bae47618ed738ab7d45ead5202d174b741cfb98e4484acdc6e76da32a”h2NhNh3Œ__osx”Œpyobjc-framework-cocoa”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ¤Øå`hEMíYhFˆubh)”}”(hŒsentineleof”h#Œ0.6.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sentineleof-0.6.5-pyhd8ed1ab_0.conda”h+Œ 2dc4ceb69ba8ba9ea677e16b59e606ba”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sentineleof-0.6.5-pyhd8ed1ab_0.conda”h0Œ@0b3e750e28d4b22fbeaacf91d1f337d9189998b8cf8b36e818616a979943036f”h2NhNh3(Œclick”Œpython >=3.5”Œpython-dateutil”Œrequests”Œsentinelsat”t”h9h?h@ŒMIT”hBŒMIT”hDGAØäj[DýôhEMHYhFˆubh)”}”(hŒsentinelhub”h#Œ3.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sentinelhub-3.9.1-pyhd8ed1ab_0.conda”h+Œ baaa07e9296cb1d64e23ca3c0796f6f5”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sentinelhub-3.9.1-pyhd8ed1ab_0.conda”h0Œ@b262ff74e0a4c5897fa0fa77e1e5215e172819f8d8fecd4ed61f89f5f1fb0007”h2NhNh3(Œaenum >=2.1.4”Œboto3”Œbotocore”Œclick”Œdataclasses-json”Œ	hatchling”Œnumpy”Œoauthlib”Œpillow >=9.2.0”Œpyproj >=2.2.0”Œpython >=3.8”Œpython-dateutil”Œrequests >=2.27.0”Œrequests-oauthlib >=1.0.0”Œshapely”Œtifffile >=2020.9.30”Œtomli”Œtomli-w”Œtqdm”Œtyping-extensions”Œutm”t”h9h?h@ŒCC-BY-SA-4.0”hBŒCC”hDGAÙâG]ÂhEJqV hFˆubh)”}”(hŒsentinelsat”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sentinelsat-1.2.1-pyhd8ed1ab_0.conda”h+Œ de8d12e979ebf78bfcd42832792720f7”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sentinelsat-1.2.1-pyhd8ed1ab_0.conda”h0Œ@db52d9222cd9f3b93229070000608689ddf04a56914dc2a5ca64ccb303ecd92c”h2NhNh3(Œclick”Œgeojson >=2”Œgeomet”Œ	html2text”Œpython >=3.6”Œrequests”Œsix”Œtqdm”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙpÅü“hEMýºhFˆubh)”}”(hŒ
sentry-sdk”h#Œ1.21.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sentry-sdk-1.21.1-pyhd8ed1ab_0.conda”h+Œ 19abd8dd0b920f7f783c39c20dbee436”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sentry-sdk-1.21.1-pyhd8ed1ab_0.conda”h0Œ@6f0103c9905ad6c99c401093fc818a9d24b8958096cf1a7f700306cb21b40b8f”h2NhNh3Œcertifi”Œ
python >=3”Œurllib3 >=1.10”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙCê¬hEJO	 hFˆubh)”}”(hŒsepal-ui”h#Œ2.16.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sepal-ui-2.16.4-pyhd8ed1ab_0.conda”h+Œ 4bfd3eb5585905a9854f97dc3b29c805”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sepal-ui-2.16.4-pyhd8ed1ab_0.conda”h0Œ@50717ca5ecf020afee83baecb22538c8760377e9d2b43b919833a3d5e3107fc5”h2NhNh3(Œanyascii”Œcolorama”Œdask”Œ
deprecated”Œearthengine-api”Œ	geopandas”Œipyleaflet >=0.14.0”Œ
ipyvuetify”Œjupyter-server-proxy”Œmarkdown”Œmatplotlib-base”Œnatsort”Œpipreqs”Œ
planet >=2”Œpyarrow”Œpython >=3.6”Œ
python-box”Œ	rioxarray”Œtqdm”Œtyping-extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙSŠáHhEJ¸dC hFˆubh)”}”(hŒsepaxml”h#Œ2.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ sepaxml-2.6.1-pyhd8ed1ab_0.conda”h+Œ 7815ba0e449925e63a708fe2ad56e02a”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sepaxml-2.6.1-pyhd8ed1ab_0.conda”h0Œ@37c6dd4bbb5e46ab493d4d303bd98202a7d3e7abff02a43429c6e222f3f03e22”h2NhNh3Œpython >=3.6”Œtext-unidecode”Œ	xmlschema”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØá¬æÿ
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Apache-2.0”hBŒAPACHE”hDGAÙ¸W hEJy? hFˆubh)”}”(hŒshapash”h#Œ2.3.4”h%Œpyhe4c7412_0”h'K hhh(h)hŒ shapash-2.3.4-pyhe4c7412_0.conda”h+Œ 273c0e4844b3c8d9010a0ff9873574c0”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/shapash-2.3.4-pyhe4c7412_0.conda”h0Œ@01171e279621752fa7d38e78cbaf7117cc86151c75761bf0358ebd835adae76e”h2NhNh3(Œcategory_encoders >=2.6.0”Œdash >=2.3.1”Œ!dash-bootstrap-components >=1.1.0”Œdash-core-components >=2.0.0”Œdash-daq >=0.5.0”Œdash-html-components >=2.0.0”Œdash-renderer 1.8.3”Œdash-table >=5.0.0”Œflask <2.3.0”Œipython”Œjinja2 >=2.11.0”Œjupyter_client <8.0.0”Œmatplotlib-base >=3.2.0”Œnbconvert >=6.0.7”Œnbformat >4.2.0”Œnotebook”Œnumba >=0.53.1”Œnumpy >1.18.0,<1.24.0”Œpandas >1.0.2,<2.0.0”Œpapermill >=2.0.0”Œphik”Œplotly >=5.0.0”Œpython >=3.7,<3.11”Œscikit-learn >=1.0.1”Œscipy >=0.19.1”Œseaborn >=0.12.2”Œshap >=0.38.1”Œxorg-libx11”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ¸ùXhEJ¦= hFˆubh)”}”(hŒshared”h#Œ0.0.27”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ shared-0.0.27-pyhd8ed1ab_0.conda”h+Œ 7cbe26ccff665ffa23071e94b77fc4e3”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/shared-0.0.27-pyhd8ed1ab_0.conda”h0Œ@6f42a086b427e4f2a6af5fe2c1c8284abb904a82098a8b00ea33e66389c80594”h2NhNh3Œjesth >=0.0.8”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙá¿‘hhEMú4hFˆubh)”}”(hŒsharrow”h#Œ2.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ sharrow-2.6.0-pyhd8ed1ab_0.conda”h+Œ 4e8a81f59dcbc478a746bbaef39a627c”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sharrow-2.6.0-pyhd8ed1ab_0.conda”h0Œ@bd529e66d06e16404b406e8e5dc92db9f9e117d716bab07b551d64930da26db8”h2NhNh3(Œ	dask-core”Œfilelock”Œnetworkx”Œnumba >=0.53”Œnumexpr”Œnumpy >=1.19”Œpandas >=1.2”Œpyarrow >=3.0.0”Œpython >=3.9”Œsparse”Œxarray >=0.20.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÈ‹7ß;hEJú/ hFˆubh)”}”(hŒ
shelephant”h#Œ0.21.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$shelephant-0.21.8-pyhd8ed1ab_0.conda”h+Œ 053891bbffa9a5dd8f4beb8a7c5e65e7”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/shelephant-0.21.8-pyhd8ed1ab_0.conda”h0Œ@2e2cee8a26732e033fd9ed9eb2b176d294577f9ced9c56b4b85e7e84497d74b0”h2NhNh3(Œclick”Œnumpy >=1.15.0”Œplatformdirs”Œprettytable”Œpython >=3.10”Œpyyaml”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ w•ZñªhEM„hFˆubh)”}”(hŒshell-source”h#Œ3.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%shell-source-3.0.0-pyhd8ed1ab_0.conda”h+Œ 5d30fce07c911987b7f7e4d85ae4931e”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/shell-source-3.0.0-pyhd8ed1ab_0.conda”h0Œ@426ace283f04b3b0aa1f8c16047de8be32a2bfd8c698d09afbd95edfb90f9bf7”h2NhNh3Œ"importlib-metadata >=4.11.4,<5.0.0”Œpython >=3.7”Œtoml >=0.10.2,<1.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ› TjhEMv2hFˆubh)”}”(hŒshellingham”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$shellingham-1.5.1-pyhd8ed1ab_0.conda”h+Œ 1de44299f48f522caa2e0074231614e1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/shellingham-1.5.1-pyhd8ed1ab_0.conda”h0Œ@3cb4a4a83b617fdfef9b92751634488db0b8961c80340be8068bf6d4f1d5ac25”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØúŒóü9XhEM‡6hFˆubh)”}”(hŒshimmy”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒshimmy-1.0.0-pyhd8ed1ab_0.conda”h+Œ b0db5604581c7f8bf769945be9b91086”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/shimmy-1.0.0-pyhd8ed1ab_0.conda”h0Œ@4ffa51cf93c460442385781330d9d33213331753b9a8d39620c3265453304fd1”h2NhNh3Œgymnasium >=0.27.0”Œnumpy >=1.18.0”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙGkC–hEMJˆhFˆubh)”}”(hŒ
shimmy-all”h#Œ1.0.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ#shimmy-all-1.0.0-pyh1a96a4e_0.conda”h+Œ 14e366b67c75d1273899ae21a80ed40b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/shimmy-all-1.0.0-pyh1a96a4e_0.conda”h0Œ@644ecb13dc562082368e19a3419030d6bb537910b571a210dc78748264e8ad66”h2NhNh3Œpython”Œshimmy-atari 1.0.0 pyh1a96a4e_0”Œshimmy-gym 1.0.0 pyh1a96a4e_0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙQvÈ´hEM<hFˆubh)”}”(hŒshimmy-atari”h#Œ1.0.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ%shimmy-atari-1.0.0-pyh1a96a4e_0.conda”h+Œ 1e5b634890d9858e27d97c791c7ac0b8”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/shimmy-atari-1.0.0-pyh1a96a4e_0.conda”h0Œ@03d3bb1b4aa882b12ca21d01bd73a56835b2b40df1666d3a7195d5271ad888f0”h2NhNh3Œale-py >=0.8.1,<0.9”Œpython”Œshimmy 1.0.0 pyhd8ed1ab_0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙK%hEM<hFˆubh)”}”(hŒ
shimmy-gym”h#Œ1.0.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ#shimmy-gym-1.0.0-pyh1a96a4e_0.conda”h+Œ deeba9bcc1dec4acc3bffe6b612783c5”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/shimmy-gym-1.0.0-pyh1a96a4e_0.conda”h0Œ@db43e9ca903cb5ec4cb7d289bd4e41a3e6cc6c10a6210cb9edbcd4e8ccf163f2”h2NhNh3Œ
gym >=0.21”Œpython”Œshimmy 1.0.0 pyhd8ed1ab_0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙNCdZhEMæ;hFˆubh)”}”(hŒshippinglabel”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&shippinglabel-1.5.0-pyhd8ed1ab_0.conda”h+Œ 54f2d5c2651e2c5896df2b670185e19c”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/shippinglabel-1.5.0-pyhd8ed1ab_0.conda”h0Œ@da51692b29429b68c7e1885500ae92824d6ebf4276ac0e2792bad693da67b4b2”h2NhNh3(Œapeye >=1.0.0”Œdist-meta >=0.1.2”Œdom-toml >=0.2.2”Œdomdf-python-tools >=3.1.0”Œpackaging >=20.9”Œplatformdirs >=2.3.0”Œpython >=3.6”Œtyping-extensions >=3.7.4.3”t”h9h?h@ŒMIT AND Apache-2.0”hDGAÙc¿ 1'hEMìhFˆubh)”}”(hŒshodan”h#Œ1.29.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ shodan-1.29.1-pyhd8ed1ab_0.conda”h+Œ e108d0b4c5e346d53e89e63069b06af8”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/shodan-1.29.1-pyhd8ed1ab_0.conda”h0Œ@dfdece3e2b11744f4a3335dc969568c33d7ef59f44647f03cac3d479f951ed2e”h2NhNh3(Œcertifi”Œclick”Œclick-plugins”Œcolorama”Œpython >=3.4”Œrequests >=2.2.1”Œ
xlsxwriter”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙt“hEM<ªhFˆubh)”}”(hŒshredder”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!shredder-1.0.0-pyhd8ed1ab_0.conda”h+Œ ba112b7425e0128ce2b2911bff378aae”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/shredder-1.0.0-pyhd8ed1ab_0.conda”h0Œ@59c356316ea2a4e71a146aa27bdedfa84fb8654c58624f0cb8aadb2b8dc20304”h2NhNh3(Œesutil”Œgalsim”Œ	ngmix >=2”Œnumba”Œnumpy”Œpython >=3.7”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙWÑÅVhEM†ThFˆubh)”}”(hŒshtab”h#Œ1.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒshtab-1.6.2-pyhd8ed1ab_0.conda”h+Œ fff3a99ce5bc226b80a3b0de13e4abff”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/shtab-1.6.2-pyhd8ed1ab_0.conda”h0Œ@828b5a1c19403eacc74db73525a25e5ea9aa433e11d33ac394f38a9b3c0ba1db”h2NhNh3Œpython >=2.7”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÙ"ˆÝ[33hEMæJhFˆubh)”}”(hŒsicor”h#Œ0.19.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsicor-0.19.0-pyhd8ed1ab_0.conda”h+Œ 9919f9aa76d854940e93e14489524adc”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/sicor-0.19.0-pyhd8ed1ab_0.conda”h0Œ@26706ba49beb8a406e668f5c6387b5bc7c098748bc8455220d2f49d648b61a1c”h2NhNh3(Œarosics >=1.2.4”Œ
cachetools”Œcdsapi”Œcerberus”Œ	dicttoxml”Œdill”Œecmwf-api-client”Œgdal”Œgdown”Œgeoarray >=0.8.17”Œglymur”Œh5py”Œiso8601”Œisofit”Œjsmin”Œmatplotlib-base”Œmpld3”Œnetcdf4”Œnumba”Œnumpy”Œopenpyxl”Œpandas”Œpillow”Œpint”Œpsutil”Œpy-tools-ds >=0.14.12”Œpygrib”Œpyprind”Œpyproj”Œpyrsr”Œpytables”Œpython >=3.8”Œrequests”Œscikit-image >=0.20.0”Œscikit-learn”Œscipy”Œspectral”Œsympy”Œtqdm”Œxlrd”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAÙ(”¬hEJo›JhFˆubh)”}”(hŒsidecar”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ sidecar-0.5.2-pyhd8ed1ab_0.conda”h+Œ bcf479b100d93fd9ffbe513d257f8a5a”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sidecar-0.5.2-pyhd8ed1ab_0.conda”h0Œ@b71ad4dfa6d18c2f8439739949a2d6544f3fb939862afd30291a7e0857ac80eb”h2NhNh3Œipywidgets >=7.6.0,<9”Œjupyterlab >=3,<4”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØåC½]ãThEM˜thFˆubh)”}”(hŒsidpy”h#Œ0.11.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsidpy-0.11.2-pyhd8ed1ab_0.conda”h+Œ 4ce1f58d81a7150fe3acf9fb46430329”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/sidpy-0.11.2-pyhd8ed1ab_0.conda”h0Œ@94a70aa5527e08b8398d69f721aa6abd3904346099f9c931f5343339ad70114b”h2NhNh3(Œase”Œdask >=0.10”Œdistributed >=2.0.0”Œh5py >=2.6.0”Œipyfilechooser >=0.0.6”Œipython”Œipywidgets >=5.2.2”Œjoblib >=0.11.0”Œmatplotlib-base >=2.0.0”Œnumpy >=1.10”Œpsutil”Œ
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healsparse”Œmatplotlib-base >=3.1”Œnumpy”Œpyproj >=3.1”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ&ªXA‰hEMAØhFˆubh)”}”(hŒskypy”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒskypy-0.5.1-pyhd8ed1ab_0.conda”h+Œ dc591a44fa6a1a4780efbdd2111378ca”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/skypy-0.5.1-pyhd8ed1ab_0.conda”h0Œ@d7d7170a5577a83a79136537e5ea074a5319656674872c26488f911303413021”h2NhNh3(Œastropy >=4”Œnetworkx”Œnumpy”Œpython >=3.6”Œpyyaml”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ	Æ•ãçmhEJÉ hFˆubh)”}”(hŒskytag”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒskytag-0.3.1-pyhd8ed1ab_0.conda”h+Œ fabb4a48f3ca28dd440fb3f7122f6857”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/skytag-0.3.1-pyhd8ed1ab_0.conda”h0Œ@ec324bbca72af4933bcb27cab46bf2fddc18ac77256510fa75684e5bf837b3fb”h2NhNh3(Œastropy”Œastropy-healpix”Œfundamentals”Œnumpy”Œpandas”Œpython >=3.9”Œpyyaml”t”h9h?h@ŒGPL-3.0-only”hBŒGPL3”hDGAÙ„æUãThEMÇwhFˆubh)”}”(hŒslabdip”h#Œ4.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ slabdip-4.1.3-pyhd8ed1ab_0.conda”h+Œ 8b836cbceca742bbd9095fcf60b5acba”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/slabdip-4.1.3-pyhd8ed1ab_0.conda”h0Œ@ff63ec5125a5bc84b41b6c6b281d387b8f9339938690095594afdd45aa9180e0”h2NhNh3(Œgplately >=0.4”Œnumpy”Œpandas”Œpython >=3.6”Œscikit-learn”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAÙƒ¿5p¤hEJjq hFˆubh)”}”(hŒ	slack-sdk”h#Œ3.21.3”h%Œpyha770c72_0”h'K hhh(h)hŒ#slack-sdk-3.21.3-pyha770c72_0.conda”h+Œ 930518f7275d18a4014b071cc9a3bdb6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/slack-sdk-3.21.3-pyha770c72_0.conda”h0Œ@9a918e645347177f1e2b81fb05396d4965a33e5235d2260f763c310ed7482430”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙæþ@QìhEJß! hFˆubh)”}”(hŒ	slack_sdk”h#Œ3.21.3”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ!slack_sdk-3.21.3-hd8ed1ab_0.conda”h+Œ d297609f9e88c2af24d9cf758f8262e9”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/slack_sdk-3.21.3-hd8ed1ab_0.conda”h0Œ@479bc4e0298c9a82acc9ecd0f8a9286f2a23ec622c0a0f98b63b0f90c6cd8837”h2NhNh3Œslack-sdk 3.21.3 pyha770c72_0”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙç ™šhEMRhFˆubh)”}”(hŒsleapyfaces”h#Œ1.2.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sleapyfaces-1.2.9-pyhd8ed1ab_0.conda”h+Œ 820b1bb466c92ac478c03f744aa99808”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sleapyfaces-1.2.9-pyhd8ed1ab_0.conda”h0Œ@181bed320d813c9988fedfdf259578eb8f4b3cac3e6b5746bdb96ca7eda4c55d”h2NhNh3(Œclick”Œffmpeg-python”Œ	geomstats”Œh5py”Œmatplotlib-base”Œmore-itertools”Œnumpy”Œpandas”Œpathvalidate”Œplotly”Œpytables”Œpytest”Œ
pytest-cov”Œpython >=3.7”Œpython-configuration”Œpython-rapidjson”Œscikit-learn”Œscipy”Œseaborn”Œstatsmodels”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÿõÆE¢hEMÑ¢hFˆubh)”}”(hŒ	sliderule”h#Œ3.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sliderule-3.5.0-pyhd8ed1ab_0.conda”h+Œ 99d8af9bead2a78e919e7a3b738bad8b”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sliderule-3.5.0-pyhd8ed1ab_0.conda”h0Œ@2adcb7bc281c9807ac3f60c7ff7f8b600ab8d67db869e55ced89ede568419be6”h2NhNh3(Œ	geopandas”Œnumpy”Œpandas”Œpyarrow”Œpython >=3.8”Œrequests”Œsetuptools_scm”Œshapely”t”h9h?h@ŒBSD-3-Clause”hDGAÙ!Àô€´9hEJ” hFˆubh)”}”(hŒ
slim-trees”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#slim-trees-0.2.1-pyhd8ed1ab_0.conda”h+Œ 6cd9c65204399e70f9dce43150a68171”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/slim-trees-0.2.1-pyhd8ed1ab_0.conda”h0Œ@aa6f4a3077728b5d948fcf9a61f237e814f3f5598dd56dccc189b7931fe5b80d”h2NhNh3Œnumpy”Œpython >=3.8”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙÊ?}hEM·@hFˆubh)”}”(hŒ
slim-trees”h#Œ0.2.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#slim-trees-0.2.1-pyhd8ed1ab_1.conda”h+Œ a636455cf3445336689761900b47937c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/slim-trees-0.2.1-pyhd8ed1ab_1.conda”h0Œ@62769a663a6b8cfb3443ae276d3a5f2ec1a8239b4880ce431ba5d9f823cfa3d6”h2NhNh3Œnumpy”Œpython >=3.8”†”h9h?h@ŒMIT”hDGAÙ!Ð¦   hEMƒ@hFˆubh)”}”(hŒ
slotscheck”h#Œ0.16.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$slotscheck-0.16.5-pyhd8ed1ab_0.conda”h+Œ 3570644b6bd6dec5a827ad64cd324342”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/slotscheck-0.16.5-pyhd8ed1ab_0.conda”h0Œ@1dfac99fc7bfcb5eced557b3a6c2946ccd20da5d535cfe2f25eae27dc7329c6f”h2NhNh3(Œclick >=8.0”Œdataclasses >=0.6”Œimportlib-metadata >=1,<5”Œpython >=3.6.2,<4”Œtomli >=0.2.6,<3.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ /Â|ZhEM	VhFˆubh)”}”(hŒsmac”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsmac-2.0.1-pyhd8ed1ab_0.conda”h+Œ b62d21d4b03ef2eb649ebf309ff433c0”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/smac-2.0.1-pyhd8ed1ab_0.conda”h0Œ@36bc0d63aa10a00a7852d04a0869dff5a13ecef672dc8d1b90a5a9f8a27a3374”h2NhNh3(Œ__linux”Œconfigspace >=0.6.1”Œconfigspace >=0.6.1”Œdask”Œ	dask-core”Œdask-jobqueue”Œemcee >=3.0.0”Œjoblib”Œnumpy >=1.23.3”Œpsutil”Œpynisher >=1.0.0”Œpyrfr >=0.9.0”Œpython >=3.8”Œpyyaml”Œregex”Œscikit-learn >=1.1.2”Œscipy >=1.9.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ4xâ¬hEJ%ÿ hFˆubh)”}”(hŒ
small-text”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#small-text-1.3.0-pyhd8ed1ab_0.conda”h+Œ f0e25745207ff04779aeb6405e14ccdf”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/small-text-1.3.0-pyhd8ed1ab_0.conda”h0Œ@ed0c26f1edf30f67940a6abbf6963d8e6cfbaef714f9d2a22335df9676c0745c”h2NhNh3(Œdill”Œnumpy >=1.20.0”Œ	packaging”Œpython >=3.7”Œscikit-learn >=0.24.1”Œscipy”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØýN²•p¤hEJ¢Ï hFˆubh)”}”(hŒ
smart-open”h#Œ6.3.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ#smart-open-6.3.0-pyh1a96a4e_0.conda”h+Œ e934ca68313c679b0505dff17230fa84”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/smart-open-6.3.0-pyh1a96a4e_0.conda”h0Œ@5cb534ccac8413c8e6a1b37d0c0cb85f026877a9e9e4875f6f81632ad9e1a38a”h2NhNh3Œpython”Œsmart_open 6.3.0 pyha770c72_0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØåÈ’üÝ/hEM·hFˆubh)”}”(hŒ
smart-open”h#Œ6.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#smart-open-6.3.0-pyhd8ed1ab_1.conda”h+Œ 388ffc814999d65f6fa9f078c15db8dc”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/smart-open-6.3.0-pyhd8ed1ab_1.conda”h0Œ@93226c75c2c061590e455fb3d7f194953d8186ece0d1278948b6800329088783”h2NhNh3Œpython >=3.6”Œsmart_open 6.3.0 pyhd8ed1ab_1”†”h9h?h@ŒMIT”hBŒMIT”hDGAØîÃ_¦—hEMghFˆubh)”}”(hŒsmart-open-with-all”h#Œ6.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,smart-open-with-all-6.3.0-pyhd8ed1ab_1.conda”h+Œ 617a3ad05f630ee16cf00b5c8263c268”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/smart-open-with-all-6.3.0-pyhd8ed1ab_1.conda”h0Œ@2f17ec93e8a3e3bf93a8e90293e04e5cca7660762db69c2b8787a76f618c4f17”h2NhNh3(Œpython”Œ(smart-open-with-azure 6.3.0 pyhd8ed1ab_1”Œ&smart-open-with-gcs 6.3.0 pyhd8ed1ab_1”Œ'smart-open-with-http 6.3.0 pyhd8ed1ab_1”Œ%smart-open-with-s3 6.3.0 pyhd8ed1ab_1”Œ&smart-open-with-ssh 6.3.0 pyhd8ed1ab_1”Œ*smart-open-with-webhdfs 6.3.0 pyhd8ed1ab_1”Œsmart_open 6.3.0 pyhd8ed1ab_1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØîÃtHr°hEMº«hFˆubh)”}”(hŒsmart-open-with-azure”h#Œ6.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ.smart-open-with-azure-6.3.0-pyhd8ed1ab_1.conda”h+Œ 1a6b95a09b70bbdf346b0617c4252dcf”h-Nh.Œ\https://conda.anaconda.org/conda-forge/noarch/smart-open-with-azure-6.3.0-pyhd8ed1ab_1.conda”h0Œ@3eb5e245bff67d713fe3efff6e4c512d8542042da9833f6e4191ab2fe7ed264d”h2NhNh3(Œazure-common”Œ
azure-core”Œazure-storage-blob”Œpython >=3.6”Œsmart_open 6.3.0 pyhd8ed1ab_1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØîÃb‹¶FhEMZhFˆubh)”}”(hŒsmart-open-with-gcs”h#Œ6.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,smart-open-with-gcs-6.3.0-pyhd8ed1ab_1.conda”h+Œ d26e56beab23efedbca787f7c716a572”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/smart-open-with-gcs-6.3.0-pyhd8ed1ab_1.conda”h0Œ@6be5dd494d1488ff5b73e3f4fb619c0d7309fd614b98f630ed35403d984edb75”h2NhNh3Œgoogle-cloud-storage”Œpython >=3.6”Œsmart_open 6.3.0 pyhd8ed1ab_1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØîÃej\hEMXhFˆubh)”}”(hŒsmart-open-with-http”h#Œ6.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-smart-open-with-http-6.3.0-pyhd8ed1ab_1.conda”h+Œ 04e2fd549e78048b529409942f78049a”h-Nh.Œ[https://conda.anaconda.org/conda-forge/noarch/smart-open-with-http-6.3.0-pyhd8ed1ab_1.conda”h0Œ@9d57d6e1726cdf05131577472c00cff8cf715e83830c3c2854b4bc1c06efb80e”h2NhNh3Œpython >=3.6”Œrequests”Œsmart_open 6.3.0 pyhd8ed1ab_1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØîÃhZMÓhEMThFˆubh)”}”(hŒsmart-open-with-s3”h#Œ6.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ+smart-open-with-s3-6.3.0-pyhd8ed1ab_1.conda”h+Œ c8be3de78acbf205a5a1e556bb8a3d60”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/smart-open-with-s3-6.3.0-pyhd8ed1ab_1.conda”h0Œ@b6809fd9ce343649d9b38f40b053503f05d8e6b6e6b4eb06d943281389537604”h2NhNh3Œboto3”Œpython >=3.6”Œsmart_open 6.3.0 pyhd8ed1ab_1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØîÃkH“uhEMDhFˆubh)”}”(hŒsmart-open-with-ssh”h#Œ6.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,smart-open-with-ssh-6.3.0-pyhd8ed1ab_1.conda”h+Œ b99be965a7d2cc369af6caddd2a6eb10”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/smart-open-with-ssh-6.3.0-pyhd8ed1ab_1.conda”h0Œ@d2553c8179e9f4c84afaf657a69834bed111ca510b0390a66c6a707c85858a51”h2NhNh3Œparamiko”Œpython >=3.6”Œsmart_open 6.3.0 pyhd8ed1ab_1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØîÃn<‹DhEM\hFˆubh)”}”(hŒsmart-open-with-webhdfs”h#Œ6.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ0smart-open-with-webhdfs-6.3.0-pyhd8ed1ab_1.conda”h+Œ 453b8cdb409ce6e2929b128dc73d0219”h-Nh.Œ^https://conda.anaconda.org/conda-forge/noarch/smart-open-with-webhdfs-6.3.0-pyhd8ed1ab_1.conda”h0Œ@e225e0487fc47530860ab76dd083bcf28ca8e8ed9400436af148b40dee5dd5a7”h2NhNh3Œpython >=3.6”Œrequests”Œsmart_open 6.3.0 pyhd8ed1ab_1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØîÃqh£×hEMVhFˆubh)”}”(hŒ
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JhEJ:hÀhFˆubh)”}”(hŒspacy-model-zh_core_web_trf”h#Œ3.5.0”h%Œpyh8f2be3d_0”h'K hhh(h)hŒ4spacy-model-zh_core_web_trf-3.5.0-pyh8f2be3d_0.conda”h+Œ e157a5c593c0693f9703e4fd678e548f”h-Nh.Œbhttps://conda.anaconda.org/conda-forge/noarch/spacy-model-zh_core_web_trf-3.5.0-pyh8f2be3d_0.conda”h0Œ@811594f26be1e658080fed8dda8c0ffc4f884ea99a1c61f7348743008d59c3d9”h2NhNh3(Œpython >=3.6”Œspacy 3.5.*”Œspacy-pkuseg >=0.0.27,<0.1.0”Œ&spacy-transformers >=1.2.0.dev0,<1.3.0”t”h9h?hDGAØöó*×ÎÙhEJFk´hFˆubh)”}”(hŒspacy-transformers”h#Œ1.1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+spacy-transformers-1.1.9-pyhd8ed1ab_0.conda”h+Œ 6755d0d624ac837d8cc04438574ba5d3”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/spacy-transformers-1.1.9-pyhd8ed1ab_0.conda”h0Œ@a4039a281635bfb8400b6a82879750e6451f9fde1b1506beb8585c9cc883e67f”h2NhNh3(Œpython >=3.6”Œpytorch >=1.6.0”Œspacy >=3.4.0,<4.0.0”Œspacy-alignments >=0.7.2,<1.0.0”Œsrsly >=2.4.0,<3.0.0”Œtransformers >=3.4.0,<4.26.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØëV Ý/hEMí©hFˆubh)”}”(hŒ	spaghetti”h#Œ1.7.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"spaghetti-1.7.3-pyhd8ed1ab_0.conda”h+Œ d69079a8e1ee6631d6ee9738c8f5b5f1”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/spaghetti-1.7.3-pyhd8ed1ab_0.conda”h0Œ@6a0ef4896728ad81803f05010b28d56306f5a113f8eabe945d9b9f772cf0b6e0”h2NhNh3(Œesda”Œlibpysal”Œnumpy”Œpandas >=1.0”Œpython >=3.8”Œrtree”Œscipy >=1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ³ÆqÊÁhEM¾hFˆubh)”}”(hŒ
sparkmagic”h#Œ0.20.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sparkmagic-0.20.5-pyhd8ed1ab_0.conda”h+Œ ffc135f1b12b9f8f2c3e6d9f0fdf62a4”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sparkmagic-0.20.5-pyhd8ed1ab_0.conda”h0Œ@7503f7579060f24fc9d050200be7346bd7a3aad64e3d74d4d58710500bcbb326”h2NhNh3(Œautovizwidget >=0.6”Œhdijupyterutils >=0.6”Œ	ipykernel”Œipython >=4.0.2”Œipywidgets >5.0.0”Œnotebook >=4.2”Œnumpy”Œpandas >=0.17.1”Œpython >=3.6”Œrequests”Œrequests-kerberos >=0.8.0”Œtornado >=4”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙï~È´hEMÇhFˆubh)”}”(hŒ
sparktorch”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#sparktorch-0.2.0-pyhd8ed1ab_0.conda”h+Œ ecf2496a4e2a9e128d26eaff44ecdc3f”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sparktorch-0.2.0-pyhd8ed1ab_0.conda”h0Œ@c1aa46310870008210f7d3cb70cd7387b0972f7797ca58b41d598bf41d700059”h2NhNh3(Œdill”Œflask”Œpyspark >=2.4.4”Œpython >=3.7,<3.11”Œpytorch-cpu >=1.3.0”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙT…¡ËhEMš_hFˆubh)”}”(hŒsparqlwrapper”h#Œ2.0.0”h%Œpyha770c72_0”h'K hhh(h)hŒ&sparqlwrapper-2.0.0-pyha770c72_0.conda”h+Œ f8f02844d47eda457d57b6c2d679fd88”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/sparqlwrapper-2.0.0-pyha770c72_0.conda”h0Œ@5f19970bb5d076658719ed028d3a23451b7d32f4d2a7180151851830830d095f”h2NhNh3Œpython >=3.7”Œrdflib >=6.1.1”†”h6Œpandas >=1.3.5”Œkeepalive >=0.5”†”h9h?h@ŒW3C”hDGAØß)çKÇhEM/rhFˆubh)”}”(hŒsparse”h#Œ0.14.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ sparse-0.14.0-pyhd8ed1ab_0.conda”h+Œ ee01b310177a0612554b9d20e537fdbe”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sparse-0.14.0-pyhd8ed1ab_0.conda”h0Œ@90267342d4dd1c27f7636a6796780e6fa0d2525b545055cc99712430e9c3c5b2”h2NhNh3(Œnumba >=0.49”Œnumpy >=1.17”Œpython >=3.8”Œscipy >=0.19”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØþ)0'¾whEJ†  hFˆubh)”}”(hŒsparsestack”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sparsestack-0.4.1-pyhd8ed1ab_0.conda”h+Œ 490c5f995528fbd8f15035e24b57a01e”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sparsestack-0.4.1-pyhd8ed1ab_0.conda”h0Œ@d91c69e4a1971b0d8bf6dd82154b6a20936da860bd23950d5d7fc2ff9ecf6186”h2NhNh3(Œnumba”Œnumpy”Œpython >=3.7”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØçÝ¬Æ¸RhEMw9hFˆubh)”}”(hŒ
spatialist”h#Œ0.12.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$spatialist-0.12.0-pyhd8ed1ab_0.conda”h+Œ 2a65a944fbf0f09e4666a1936ed66e8a”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/spatialist-0.12.0-pyhd8ed1ab_0.conda”h0Œ@9f9aab7cf93c2ecf7052d92734ff8bb857b45526b38213f05d5a6bbcb1dca018”h2NhNh3(Œdill”Œ
gdal >=2.4”Œlibspatialite >5.0.0”Œmatplotlib-base”Œnumpy”Œpathos >=0.2”Œprogressbar2”Œpython >=3.0”Œpyyaml”Œsetuptools_scm”Œsqlite”Œtblib”t”h9h?h@ŒMIT”hBŒMIT”hDGAØèÅ¬gl‹hEJDv§ hFˆubh)”}”(hŒspatialmath-python”h#Œ1.1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+spatialmath-python-1.1.8-pyhd8ed1ab_0.conda”h+Œ 3da19016766e2eff83cdd695ed969bc4”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/spatialmath-python-1.1.8-pyhd8ed1ab_0.conda”h0Œ@1cd7e7140521f680a0d2e619566f5d32d0bdd7244c90356dae4b6bbb53ded2c8”h2NhNh3(Œ	ansitable”Œcolored”Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œscipy”Œsphinxcontrib-jsmath”Œsympy”Œtyping-extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ¡—ÎÙhEJ“$ hFˆubh)”}”(hŒspatialpandas”h#Œ0.4.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&spatialpandas-0.4.8-pyhd8ed1ab_0.conda”h+Œ a05172bcfa2251cdad6f166bdf57d984”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/spatialpandas-0.4.8-pyhd8ed1ab_0.conda”h0Œ@318a53b1596d767848c314f0f9b287640f029185df9a27fea8527c09c9b184b5”h2NhNh3(Œ	dask-core”Œfsspec”Œnumba”Œpandas”Œparam”Œpyarrow >=1.0”Œpython >=3.8”Œretrying”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙ)ãßÎÙhEJ®+ hFˆubh)”}”(hŒ
spec2nexus”h#Œ2021.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&spec2nexus-2021.2.6-pyhd8ed1ab_0.conda”h+Œ 03282def07d7eaa7a16ec24bc4c70d05”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/spec2nexus-2021.2.6-pyhd8ed1ab_0.conda”h0Œ@3ee3fa14a927b9423f1d29d367897279523361e4621bd830b566e407cc124345”h2NhNh3(Œh5py”Œlxml”Œmatplotlib-base”Œnumpy”Œpython >=3.8”t”h9h?h@Œ	CC-BY-4.0”hBŒCC”hDGAØù~8l(öhEJ … hFˆubh)”}”(hŒspec2nii”h#Œ0.6.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!spec2nii-0.6.8-pyhd8ed1ab_0.conda”h+Œ 5ad64eddd3e287c46f8a534d53bae3b8”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/spec2nii-0.6.8-pyhd8ed1ab_0.conda”h0Œ@2f70c19a44701423482b3fcd644e00019025d0fc307a9d1199c04e17a50ea8bd”h2NhNh3(Œbrukerapi >=0.1.8”Œnibabel”Œnifti-mrs >=0.1.3”Œnumpy”Œpandas”Œpydicom”Œpymapvbvd >=0.5.2”Œpython >=3.7”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÒ®aº^hEJ`Z hFˆubh)”}”(hŒ
specialist”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#specialist-0.5.1-pyhd8ed1ab_0.conda”h+Œ 5814f83547e975568008c86b0c85c2e0”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/specialist-0.5.1-pyhd8ed1ab_0.conda”h0Œ@16cc30e77285c342e8b84bea0a10fa7289ca921e0da54a410433933dbaf5a183”h2NhNh3Œpython >=3.11”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙžãçmhEM:ChFˆubh)”}”(hŒ
spectrafit”h#Œ0.18.2”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ$spectrafit-0.18.2-pyh1a96a4e_0.conda”h+Œ 3d70ec32801618e2492842f099218cc9”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-0.18.2-pyh1a96a4e_0.conda”h0Œ@9fd3b2481f4a20f19baea549147607d9ee1f77654b1c024f2f111727bd38b253”h2NhNh3(Œ	ascii-art”Œemcee”Œlmfit”Œnumdifftools”Œnumpy”Œopenpyxl”Œpandas”Œpydantic”Œpython >=3.8,<3.12”Œpyyaml”Œscikit-learn”Œseaborn”Œtabulate”Œtomli”Œtomli-w”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`Ù.E¢hEJå hFˆubh)”}”(hŒ
spectrafit”h#Œ0.18.2”h%Œpyh44b312d_0”h'K hhh(h)hŒ$spectrafit-0.18.2-pyh44b312d_0.conda”h+Œ 3baeb55ec0d29285356028d68d7997c1”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-0.18.2-pyh44b312d_0.conda”h0Œ@bf5395aae53200de8e23771b201ae95a6c2f652ac1ea10fefad4a85dda443ad9”h2NhNh3(Œ	ascii-art”Œemcee”Œlmfit”Œnumdifftools”Œnumpy”Œopenpyxl”Œpandas”Œpydantic”Œpython >=3.8,<3.12”Œpyyaml”Œscikit-learn”Œseaborn”Œtabulate”Œtomli”Œtomli-w”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`Ø´9XhEJï hFˆubh)”}”(hŒ
spectrafit”h#Œ0.18.2”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ$spectrafit-0.18.2-pyh6c4a22f_0.conda”h+Œ 125661b8c6e58c762dadd48847f61690”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-0.18.2-pyh6c4a22f_0.conda”h0Œ@ea04153a2b82fdd7e50358a026673ff37a0da9636bf87166fa0fce4acab60c8e”h2NhNh3(Œ	ascii-art”Œemcee”Œlmfit”Œnumdifftools”Œnumpy”Œopenpyxl”Œpandas”Œpydantic”Œpython >=3.8,<3.12”Œpyyaml”Œscikit-learn”Œseaborn”Œtabulate”Œtomli”Œtomli-w”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`á®ÙhEJÇ hFˆubh)”}”(hŒspectrafit-all”h#Œ0.18.2”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ&spectrafit-all-0.18.2-hd8ed1ab_0.conda”h+Œ a7926f249e12fa55a901a9795c518500”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/spectrafit-all-0.18.2-hd8ed1ab_0.conda”h0Œ@0f1190c9617dd063e157806362adbbe669a1a24c68165ae3ac406991953aed39”h2NhNh3(Œspectrafit >=0.18.2,<0.18.3.0a0”Œ%spectrafit-graph >=0.18.2,<0.18.3.0a0”Œ'spectrafit-jupyter >=0.18.2,<0.18.3.0a0”Œ$spectrafit-rixs >=0.18.2,<0.18.3.0a0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`ÝªMÓhEM‹!hFˆubh)”}”(hŒspectrafit-graph”h#Œ0.18.2”h%Œ
h1a96a4e_0”h'K hhh(h)hŒ(spectrafit-graph-0.18.2-h1a96a4e_0.conda”h+Œ dc4f9f070d8418760d08e2304958d8b1”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-graph-0.18.2-h1a96a4e_0.conda”h0Œ@a78aef1f2ba35c7694a264e6af95af641836bdd9685e2b4fc353afb9dfbe277e”h2NhNh3Œnetworkx”Œpydot”Œspectrafit >=0.18.2,<0.18.3.0a0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`ÚóohEM‹!hFˆubh)”}”(hŒspectrafit-graph”h#Œ0.18.2”h%Œ
h44b312d_0”h'K hhh(h)hŒ(spectrafit-graph-0.18.2-h44b312d_0.conda”h+Œ 466b7e0f0b440afcd0cecedd6c72eac0”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-graph-0.18.2-h44b312d_0.conda”h0Œ@265595fa421ad9a48ef1aef086e2eb8a8d7f55b4cdb39d293a7844dd4b5fe033”h2NhNh3Œnetworkx”Œpydot”Œspectrafit >=0.18.2,<0.18.3.0a0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`ÚuhEM…!hFˆubh)”}”(hŒspectrafit-graph”h#Œ0.18.2”h%Œ
h6c4a22f_0”h'K hhh(h)hŒ(spectrafit-graph-0.18.2-h6c4a22f_0.conda”h+Œ ddde6612fb38018ab5d3d4076a7fd942”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-graph-0.18.2-h6c4a22f_0.conda”h0Œ@d548a908872227c3cfe09ae2b3688fa16ae3990d967f24a2563d6b787ed9a09d”h2NhNh3Œnetworkx”Œpydot”Œspectrafit >=0.18.2,<0.18.3.0a0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`ãä1hEMl!hFˆubh)”}”(hŒspectrafit-jupyter”h#Œ0.18.2”h%Œ
h1a96a4e_0”h'K hhh(h)hŒ*spectrafit-jupyter-0.18.2-h1a96a4e_0.conda”h+Œ fda23dd5cb02566f46a7985e36228d25”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-jupyter-0.18.2-h1a96a4e_0.conda”h0Œ@a64ab4415e2eab8efcd46f44e4e6e607b735699ca3d0266be1195064263bd544”h2NhNh3(Œdtale”Œitables”Œ
jupyterlab”Œplotly”Œpython-kaleido 0.2.1”Œspectrafit >=0.18.2,<0.18.3.0a0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`ÛØ´9hEM”!hFˆubh)”}”(hŒspectrafit-jupyter”h#Œ0.18.2”h%Œ
h44b312d_0”h'K hhh(h)hŒ*spectrafit-jupyter-0.18.2-h44b312d_0.conda”h+Œ 0350d1a32e597b1ee31c43c303fdd3ce”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-jupyter-0.18.2-h44b312d_0.conda”h0Œ@ebe58d4e4b9eb124f1d3734710f4458edd62fcea8dd6f2b8f370e628579bcc49”h2NhNh3(Œdtale”Œitables”Œ
jupyterlab”Œplotly”Œpython-kaleido 0.2.1”Œspectrafit >=0.18.2,<0.18.3.0a0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`ÛXA‰hEMŽ!hFˆubh)”}”(hŒspectrafit-jupyter”h#Œ0.18.2”h%Œ
h6c4a22f_0”h'K hhh(h)hŒ*spectrafit-jupyter-0.18.2-h6c4a22f_0.conda”h+Œ e809faaf56cd040bec7f620c5a4778a0”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-jupyter-0.18.2-h6c4a22f_0.conda”h0Œ@1b59322d04f637dc5b9730042a2e3ac756c668323b1503a51142e1009e3ce905”h2NhNh3(Œdtale”Œitables”Œ
jupyterlab”Œplotly”Œpython-kaleido 0.2.1”Œspectrafit >=0.18.2,<0.18.3.0a0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`å…hEM‚!hFˆubh)”}”(hŒspectrafit-rixs”h#Œ0.18.2”h%Œ
h1a96a4e_0”h'K hhh(h)hŒ'spectrafit-rixs-0.18.2-h1a96a4e_0.conda”h+Œ 4613b8fbd0ad31e274ffb6524b4b4035”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-rixs-0.18.2-h1a96a4e_0.conda”h0Œ@094b3de6b7ca3e931677ad936a93dc8fae4e69b520cb2c9cef20cf7442f2e7f5”h2NhNh3(Œdash-bootstrap-components”Œdash-bootstrap-templates”Œ
ipywidgets”Œjupyter-dash”Œspectrafit >=0.18.2,<0.18.3.0a0”Œ%spectrafit-graph >=0.18.2,<0.18.3.0a0”Œ'spectrafit-jupyter >=0.18.2,<0.18.3.0a0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`ÜÀ  hEM£!hFˆubh)”}”(hŒspectrafit-rixs”h#Œ0.18.2”h%Œ
h44b312d_0”h'K hhh(h)hŒ'spectrafit-rixs-0.18.2-h44b312d_0.conda”h+Œ 93f4e6cb0e7a5f49c3daf43c0782d774”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-rixs-0.18.2-h44b312d_0.conda”h0Œ@389297500678a40a087ddfad2470be684447344fc35fb80f31ec301e39d207ee”h2NhNh3(Œdash-bootstrap-components”Œdash-bootstrap-templates”Œ
ipywidgets”Œjupyter-dash”Œspectrafit >=0.18.2,<0.18.3.0a0”Œ%spectrafit-graph >=0.18.2,<0.18.3.0a0”Œ'spectrafit-jupyter >=0.18.2,<0.18.3.0a0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`Ü9ûçhEM¬!hFˆubh)”}”(hŒspectrafit-rixs”h#Œ0.18.2”h%Œ
h6c4a22f_0”h'K hhh(h)hŒ'spectrafit-rixs-0.18.2-h6c4a22f_0.conda”h+Œ 1552fefd03127e7878df5f3b5af6a240”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/spectrafit-rixs-0.18.2-h6c4a22f_0.conda”h0Œ@336419720ed484a524360be80b75acfe86a5706b8481eb2cb6aa120522affba7”h2NhNh3(Œdash-bootstrap-components”Œdash-bootstrap-templates”Œ
ipywidgets”Œjupyter-dash”Œspectrafit >=0.18.2,<0.18.3.0a0”Œ%spectrafit-graph >=0.18.2,<0.18.3.0a0”Œ'spectrafit-jupyter >=0.18.2,<0.18.3.0a0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ`æÂhEMŒ!hFˆubh)”}”(hŒspectrumdevice”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'spectrumdevice-0.3.0-pyhd8ed1ab_0.conda”h+Œ 7c8e3372cf95177b44d3214602ec7825”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/spectrumdevice-0.3.0-pyhd8ed1ab_0.conda”h0Œ@3dcca63ecaac0f38bd49233acc8f3aedf048a62d33db859fc578fafc1d1a60bb”h2NhNh3Œnumpy >=1.21.4”Œpython >=3.8”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ5aAhshEM©ñhFˆubh)”}”(hŒ	specutils”h#Œ1.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#specutils-1.10.0-pyhd8ed1ab_0.conda”h+Œ 867b7f4e2bd237fcf63beb9aa5b5e6bd”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/specutils-1.10.0-pyhd8ed1ab_0.conda”h0Œ@882f6159e1b17e0cc8fffce3473c2f59e0b20964ce0677540a51f67090135439”h2NhNh3(Œ
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0.0.0.0.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*spikingjelly-0.0.0.0.14-pyhd8ed1ab_0.conda”h+Œ b1158440c3e67a5ab871f440b6b90f8a”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/spikingjelly-0.0.0.0.14-pyhd8ed1ab_0.conda”h0Œ@5d3f393d09a14c465b36f1e56af02e4206d24fa3181e0ddbf2fbae7ae03fc571”h2NhNh3(Œcupy”Œmatplotlib-base”Œnumpy”Œonnx”Œpython >=3.6”Œpytorch >=1.5.0”Œscipy”Œtorchvision”Œtqdm”t”h9h?h@ŒLicenseRef-NOASSERTION”hDGAÙù¦hEJüé hFˆubh)”}”(hŒspin”h#Œ0.3”h%Œunix_pyhd8ed1ab_0”h'K hhh(h)hŒ spin-0.3-unix_pyhd8ed1ab_0.conda”h+Œ 3d98376ae86a9ed0f6615022863226cd”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/spin-0.3-unix_pyhd8ed1ab_0.conda”h0Œ@9a10b534753e5b9b77f00c2c1a00d40903dd40d7a7d6cfd0a142fe72e07c94ea”h2NhNh3(Œ__unix”Œclick”Œpython >=3.7”Œtoml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ>á8QìhEMº=hFˆubh)”}”(hŒspin”h#Œ0.3”h%Œwin_pyhd8ed1ab_0”h'K hhh(h)hŒspin-0.3-win_pyhd8ed1ab_0.conda”h+Œ d050bcf78beafd0f0636a71406ec6058”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/spin-0.3-win_pyhd8ed1ab_0.conda”h0Œ@4431314ad933f5cf0ab40973b31f8ad848105212be783029ab3b087cc32b28e3”h2NhNh3(Œ__win”Œclick”Œcolorama”Œpython >=3.7”Œtoml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ?_¥¡ËhEMH?hFˆubh)”}”(hŒ
splinedist”h#Œ0.1.2”h%Œpyha21a80b_0”h'K hhh(h)hŒ#splinedist-0.1.2-pyha21a80b_0.conda”h+Œ bacaef872f531e37d6e24f118fcc4e49”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/splinedist-0.1.2-pyha21a80b_0.conda”h0Œ@b7b9fbcceced9e74f9f483c40d31163c7b9203a2262c5307cf86f43ce0359bf7”h2NhNh3(Œcsbdeep >=0.6.3”Œopencv”Œpython >=3.8”Œstardist >=0.8.3”Œ
tensorflow”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØàäˆ¯ïžhEMe±hFˆubh)”}”(hŒsplink”h#Œ3.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsplink-3.9.1-pyhd8ed1ab_0.conda”h+Œ 4b3bc7a16ce5794403cb9697f7edb318”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/splink-3.9.1-pyhd8ed1ab_0.conda”h0Œ@0479c1994c4607a011bee97bdd997bf2c091a448d07261f8643fb51e7009f71f”h2NhNh3(Œaltair >=4.2.0”Œjinja2 >=3.0.3,<4.0.0”Œjsonschema >=3.2,<5.0”Œpandas >=1.0.0,<2.0.0”Œpython >=3.7,<4.0”Œpython-duckdb >=0.6.0,<0.7.0”Œsqlglot >=5.1.0”t”h6Œpyspark >=3.2.1”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ “ƒSøhEJþ” hFˆubh)”}”(hŒspoc”h#Œ0.1.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒspoc-0.1.10-pyhd8ed1ab_0.conda”h+Œ 70085942b4063f707f53496e09ab51ba”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/spoc-0.1.10-pyhd8ed1ab_0.conda”h0Œ@2a4d73206395163f74d3d5ae53cc5797b3777edabc9a538aed83839f8a12658e”h2NhNh3Œpython >=3.10”Œtoml >=0.10.2”†”h9h?h@ŒMIT”hBŒMIT”hDGAØàŠÛ#hEMÏ6hFˆubh)”}”(hŒspopt”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒspopt-0.5.0-pyhd8ed1ab_0.conda”h+Œ f7dd20c8d872e8914dec5c67cf5159b5”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/spopt-0.5.0-pyhd8ed1ab_0.conda”h0Œ@980061b92ea1d5e463dd3dd2d34ca87b936f4cf7266ac8fa081df31ad148d84b”h2NhNh3(Œgeopandas >=0.10.0”Œlibpysal”Œnetworkx”Œnumpy >=1.21”Œpandas >=1.0.5”Œpulp”Œ
python >=3”Œscikit-learn >=0.22”Œscipy >=1.3.2”Œ	spaghetti”Œtqdm >=4.27.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØðý#33hEJ„1 hFˆubh)”}”(hŒspopt”h#Œ0.5.0rc2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!spopt-0.5.0rc2-pyhd8ed1ab_0.conda”h+Œ 098bbb69e2c875305e4b44063fca0041”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/spopt-0.5.0rc2-pyhd8ed1ab_0.conda”h0Œ@0795b4b5d26dc5df4f3b999ac2c4b6767824fc50cdaa8ce07d048dd113a73eef”h2NhNh3(Œgeopandas >=0.10.0”Œlibpysal”Œnetworkx”Œnumpy >=1.21”Œpandas >=1.0.5”Œpulp”Œ
python >=3”Œscikit-learn >=0.22”Œscipy >=1.3.2”Œ	spaghetti”Œtqdm >=4.27.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØðwÞM²-hEJË2 hFˆubh)”}”(hŒspotipy”h#Œ2.23.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!spotipy-2.23.0-pyhd8ed1ab_0.conda”h+Œ ae2134c32eadfe86e957998255bc264a”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/spotipy-2.23.0-pyhd8ed1ab_0.conda”h0Œ@bacbca42996f7d3313061d5e9aa7a7adcbcdb9dc58bcc90a69e65a151028e810”h2NhNh3(Œpython >=3.6”Œredis-py >=3.5.3”Œrequests >=2.25.0”Œsix >=1.15.0”Œurllib3 >=1.26.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙðŠixÕhEMKyhFˆubh)”}”(hŒspotpy”h#Œ1.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒspotpy-1.6.2-pyhd8ed1ab_0.conda”h+Œ 1766ab804a7df41ffab81b83e2130da9”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/spotpy-1.6.2-pyhd8ed1ab_0.conda”h0Œ@19d21bd2ae5d5f7851bc6b13e9c425a65d72a7d7418d294ff79d82f0d004f315”h2NhNh3(Œclick”Œmatplotlib-base”Œmpi4py”Œnumba”Œnumpy”Œpandas”Œpathos”Œpython >=3.7”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÿxR:n˜hEJQP hFˆubh)”}”(hŒspox”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒspox-0.8.0-pyhd8ed1ab_0.conda”h+Œ bdf401e68f4442965085b829bdb5ee47”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/spox-0.8.0-pyhd8ed1ab_0.conda”h0Œ@f2cda14feeba898f704fbcd2f3e01bb69939c1597ff11c2f5d877287890b172a”h2NhNh3(Œnumpy”Œonnx >=1.13”Œpython >=3.8.0”Œtyping_extensions”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ;ÀSohEJië hFˆubh)”}”(hŒspreg”h#Œ1.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒspreg-1.3.2-pyhd8ed1ab_0.conda”h+Œ 580b50ac1b8c7defdcbd654958ee8d39”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/spreg-1.3.2-pyhd8ed1ab_0.conda”h0Œ@93b5d561c98b6babdc9749af214d707fcbf1ce4cf15ce76c6c1a96e4f3ff8abb”h2NhNh3(Œlibpysal”Œnumpy”Œ
python >=3”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ^üjhEJ±È hFˆubh)”}”(hŒspyder-kernels”h#Œ2.4.3”h%Œunix_pyhd8ed1ab_0”h'K hhh(h)hŒ,spyder-kernels-2.4.3-unix_pyhd8ed1ab_0.conda”h+Œ 7836729c4f7d03f1692bac22c7ae85a1”h-Nh.ŒZhttps://conda.anaconda.org/conda-forge/noarch/spyder-kernels-2.4.3-unix_pyhd8ed1ab_0.conda”h0Œ@bdf041e5b0a4ccd2ef84b6b952abc5734c072898913ba96bbe507b25d93dcf59”h2NhNh3(Œ__unix”Œcloudpickle”Œipykernel >=6.16.1,<7.0.0”Œ0ipython >=7.31.1,<9.0.0,!=8.8.0,!=8.9.0,!=8.10.0”Œjupyter_client >=7.4.9,<9.0.0”Œpython >=3.7”Œpyzmq >=22.1.0”Œwurlitzer >=1.0.3”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ
Å&-/hEJ7 hFˆubh)”}”(hŒspyder-kernels”h#Œ2.4.3”h%Œwin_pyhd8ed1ab_0”h'K hhh(h)hŒ+spyder-kernels-2.4.3-win_pyhd8ed1ab_0.conda”h+Œ d260f03b64123f848c6b9212d9bc3e43”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/spyder-kernels-2.4.3-win_pyhd8ed1ab_0.conda”h0Œ@9d3a7c9c6c10096a667d6a036c89449c26b4cacbb3e896b84719e136c2a97e2d”h2NhNh3(Œ__win”Œcloudpickle”Œipykernel >=6.16.1,<7.0.0”Œ0ipython >=7.31.1,<9.0.0,!=8.8.0,!=8.9.0,!=8.10.0”Œjupyter_client >=7.4.9,<9.0.0”Œpython >=3.7”Œpyzmq >=22.1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ
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hcc95acc_0”h'K hhh(h)hŒ)sysroot_linux-s390x-2.28-hcc95acc_0.conda”h+Œ 7a03b672436df3da6df2102f2c460db4”h-Nh.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sysroot_linux-s390x-2.28-hcc95acc_0.conda”h0Œ@89b411bf1a053cc1dfab48a6aa7f81b6fd2332f873f8fe0a323d4e1d3852b4ee”h2NhNh3Œ+_sysroot_linux-s390x_curr_repodata_hack 3.*”Œ,kernel-headers_linux-s390x 4.18.0 hcc95acc_0”†”jy Œsysroot_linux-s390x_2.28”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAÙ'Àw®hEJåghFˆubh)”}”(hŒtableauserverclient”h#Œ0.26”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+tableauserverclient-0.26-pyhd8ed1ab_0.conda”h+Œ 0c125fb87341072c9c42be9c2bc7b88c”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/tableauserverclient-0.26-pyhd8ed1ab_0.conda”h0Œ@c2d1d08e009ecad0d13858a741f97b785385a0c2e2e185914b0998584299923f”h2NhNh3(Œdefusedxml >=0.7.1”Œpackaging >=22.0”Œpython >=3.7”Œrequests >=2.28”Œurllib3 ~=1.26.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙþü›¦hEJþO hFˆubh)”}”(hŒ	tabledata”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"tabledata-1.3.1-pyhd8ed1ab_0.conda”h+Œ 1dce0b5f04b56e70491b19bc4e1b9bc0”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tabledata-1.3.1-pyhd8ed1ab_0.conda”h0Œ@ba8bec26f68e80c2353cdd5fd0185dfabcb080c77b37c985dad449e5ad4539aa”h2NhNh3(Œdataproperty >=0.50.0,<2”Œpython >=3.5”Œsetuptools >=38.3.0”Œtypepy >=1.1.1,<2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØüMäçmhEMF<hFˆubh)”}”(hŒtableone”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!tableone-0.8.0-pyhd8ed1ab_0.conda”h+Œ d2e12d55d0fe5fcd125d23a4f17fa708”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/tableone-0.8.0-pyhd8ed1ab_0.conda”h0Œ@6bc180614aec54a2009c36875239403c88eebcff57c5ecddb5862be51cb6c51f”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.9”Œscipy”Œstatsmodels”Œtabulate”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙY•9hshEMÆŽhFˆubh)”}”(hŒ	tables-io”h#Œ0.8.1”h%Œpyhd570202_1”h'Khhh(h)hŒ"tables-io-0.8.1-pyhd570202_1.conda”h+Œ 83ed9c9e7eb107130319db09414965d1”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tables-io-0.8.1-pyhd570202_1.conda”h0Œ@e7828fc635d90ab3a562ce441550b1e84c7566f156451196e23412f22a12f2e2”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAÙ ,BñªhEMRhFˆubh)”}”(hŒ	tables-io”h#Œ0.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"tables-io-0.8.1-pyhd8ed1ab_0.conda”h+Œ bf4c58ad71a3407eb8b390bffa4c65ee”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tables-io-0.8.1-pyhd8ed1ab_0.conda”h0Œ@024781a2b86d9de1feeacc182c4c2f6a3a16b61dcb9326d92940c04796d9a54f”h2NhNh3(Œastropy”Œh5py”Œnumpy”Œpandas”Œpyarrow”Œpytables”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÌ@kohEMlQhFˆubh)”}”(hŒtables-io-full”h#Œ0.8.1”h%Œ
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tfs-pandas”h#Œ3.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#tfs-pandas-3.7.0-pyhd8ed1ab_0.conda”h+Œ f60760069300b91481977866f99b94ec”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tfs-pandas-3.7.0-pyhd8ed1ab_0.conda”h0Œ@0e2dfc99748d8db9efc0e604173ea3a15a58cb4693b2dcdd3e65f9d29f596e0a”h2NhNh3Œnumpy >=1.19.0”Œpandas >=1.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ;U²-hEM>ihFˆubh)”}”(hŒthalassa”h#Œ0.3.0”h%Œpyh1a96a4e_1”h'Khhh(h)hŒ!thalassa-0.3.0-pyh1a96a4e_1.conda”h+Œ 6557828050881fa0049f4b3c5de6161e”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/thalassa-0.3.0-pyh1a96a4e_1.conda”h0Œ@dc67ba5e92f5a5de8857081a3291aac31509c277e25361ca17375a4e10baa3aa”h2NhNh3(Œcartopy”Œ
datashader”Œ	geopandas”Œgeos”Œgeoviews”Œ	holoviews”Œnumpy <1.24”Œpandas”Œpython >=3.9,<3.11”Œshapely”Œxarray”t”h9h?h@ŒEUPL-1.2”hDGAÙ3p´9hEMjShFˆubh)”}”(hŒthalassa”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!thalassa-0.3.0-pyhd8ed1ab_0.conda”h+Œ 54bfc94fea8979c908a7c1430db639af”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/thalassa-0.3.0-pyhd8ed1ab_0.conda”h0Œ@992b20522b908a20721230228718d9a1567e4ca7783c32a0a291134019c37943”h2NhNh3(Œcartopy”Œ
datashader”Œ	geopandas”Œgeos”Œgeoviews”Œ	holoviews”Œnumpy <1.24”Œpandas”Œpython 3.9.*”Œshapely”Œxarray”t”h9h?h@ŒEUPL-1.2”hDGAÙéþW+hEM4ShFˆubh)”}”(hŒthatool”h#Œ1.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ thatool-1.1.6-pyhd8ed1ab_0.conda”h+Œ 98a26c04c5f011a7c5eac707edea3b65”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/thatool-1.1.6-pyhd8ed1ab_0.conda”h0Œ@2cab22ebcd53faf61b6ad536909bd8dc45439a963815e9410d644fc1990f0ce1”h2NhNh3(Œele”Œmatplotlib-base”Œnatsort”Œpandas”Œ	pyshtools”Œpython >=3.6”Œscipy”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ-¥.éyhEJ#  hFˆubh)”}”(hŒtheme-material-darcula”h#Œ1.0.3”h%Œpyh1d7be83_0”h'K hhh(h)hŒ/theme-material-darcula-1.0.3-pyh1d7be83_0.conda”h+Œ 9a6af0522ad1443da3b4816bc647b523”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/theme-material-darcula-1.0.3-pyh1d7be83_0.conda”h0Œ@3afd856ed5b833f36a05a44e9bc41204b7462955092223b65d5ea45f8d69e6af”h2NhNh3Œjupyterlab >=3.0.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØà]«ÝÂhEMvThFˆubh)”}”(hŒtheme-material-darcula”h#Œ1.0.3”h%Œpyh5bfe37b_0”h'K hhh(h)hŒ/theme-material-darcula-1.0.3-pyh5bfe37b_0.conda”h+Œ 19edc38a46382aefa6d124d273936aa7”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/theme-material-darcula-1.0.3-pyh5bfe37b_0.conda”h0Œ@93c37342462bc44b534e79700e5bb9d5eb358c49f407227024d370d7467a043d”h2NhNh3Œjupyterlab >=3.0.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØà]¢*Ÿ¾hEMWThFˆubh)”}”(hŒtheme-material-darcula”h#Œ1.0.3”h%Œpyhc268e32_0”h'K hhh(h)hŒ/theme-material-darcula-1.0.3-pyhc268e32_0.conda”h+Œ dd10ce4dbad5f307f82445861cac953d”h-Nh.Œ]https://conda.anaconda.org/conda-forge/noarch/theme-material-darcula-1.0.3-pyhc268e32_0.conda”h0Œ@b46d4b7d07a9cd82da45cf2d23a9f8aeda2b225ab9b886ad8e56e1499ace9568”h2NhNh3Œjupyterlab >=3.0.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØà]¥¥VhEM‚ThFˆubh)”}”(hŒthermo”h#Œ0.2.25”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ thermo-0.2.25-pyhd8ed1ab_0.conda”h+Œ 1078b69a270c8fac7d91e129bf1dbe21”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/thermo-0.2.25-pyhd8ed1ab_0.conda”h0Œ@311ff4d4f90ec22de16a2bd2140a37933537cd78bf5e6a627b80d74430cf40e0”h2NhNh3(Œ	chemicals”Œcoolprop”Œfluids >=1.0.10”Œpint”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ Z&‡+hEJÅ˜G hFˆubh)”}”(hŒthermoextrap”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%thermoextrap-0.4.0-pyhd8ed1ab_0.conda”h+Œ 31c4802fa70f973e47b9362e8d91abc0”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/thermoextrap-0.4.0-pyhd8ed1ab_0.conda”h0Œ@89db92cc55bc0ab4be99df06ea114fa7ea5728d40d62c9929086523f74be39fb”h2NhNh3(Œattrs”Œcmomy >=0.5”Œcustom-inherit”Œmodule-utilities >=0.2”Œnumpy >=1.20”Œpython >=3.8”Œscipy”Œsympy”Œxarray >=0.16”t”h9h?h@ŒNIST-PD”hDGAÙ"ï^—hEJB› hFˆubh)”}”(hŒthermostate”h#Œ2.0.0.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*thermostate-2.0.0.post1-pyhd8ed1ab_0.conda”h+Œ fdcc87673f80e829e895f796605c331a”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/thermostate-2.0.0.post1-pyhd8ed1ab_0.conda”h0Œ@eb7a6960d492fce45b8f292086ee8683f9d56f163619d76995da0e6b454fb7c6”h2NhNh3(Œcoolprop >=6.4.1”Œmatplotlib-base >=3.5”Œnumpy >=1.22”Œ
pint >0.20”Œpython >=3.9”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØú[F®éyhEMJChFˆubh)”}”(hŒthreadom”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!threadom-0.0.7-pyhd8ed1ab_0.conda”h+Œ b85232b11739b5e819a499f4f0140f13”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/threadom-0.0.7-pyhd8ed1ab_0.conda”h0Œ@7c373b6ad8314fc24b20a6072246dfff877176a5b10076e0380a2520f40b0326”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØþ÷wS"ÑhEMw4hFˆubh)”}”(hŒtianshou”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!tianshou-0.5.0-pyhd8ed1ab_0.conda”h+Œ fe714a33a1281aed88ea33bb18f731fa”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/tianshou-0.5.0-pyhd8ed1ab_0.conda”h0Œ@0ada9750bbf08cfc84d35d9ae12e1c16a107ba359df0a303d66b99e6fb8cf36f”h2NhNh3(Œcloudpickle”Œgymnasium >=0.26.0”Œh5py >=2.10.0”Œnumba >=0.51.0”Œnumpy >=1.16.1”Œ	packaging”Œpython >=3.6”Œpytorch >=1.4.0”Œtensorboard >=2.5.0”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÒXŠMÓhEJG† hFˆubh)”}”(hŒ
tiatoolbox”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#tiatoolbox-1.4.0-pyhd8ed1ab_0.conda”h+Œ 77c16ce20350d132ea464252888a3bfb”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tiatoolbox-1.4.0-pyhd8ed1ab_0.conda”h0Œ@6f057250a34e5ead317b4c581b8d1e54edabe91636606afe679a541f6869c58a”h2NhNh3(Œalbumentations >=1.2.0,<=1.3.0”Œclick >=8.1.0,<=8.1.3”Œcudatoolkit >=11.3,<=11.7”Œdefusedxml >=0.6.0,<=0.7.1”Œflask >=2.2.2,<=2.2.3”Œglymur >=0.11.7,<=0.12.2”Œ$imagecodecs >=2021.11.20,<=2023.1.23”Œjoblib >=1.1.0,<=1.2.0”Œjupyterlab >=3.4.8,<=3.6.1”Œmatplotlib-base >=3.5.3,<=3.7.0”Œnumpy >=1.21.6,<1.24”Œopencv >=4.6.0,<=4.7.0”Œopenjpeg >=2.4.0,<=2.5.0”Œ openslide-python >=1.1.2,<=1.2.0”Œpandas >=1.3.5,<=1.5.3”Œpillow >=9.2.0,<=9.4.0”Œpixman >=0.39.0,<=0.40.0”Œpydicom >=2.3.0,<=2.3.1”Œpython >=3.7,<3.11”Œpytorch >=1.13.0,<=1.13.1”Œpyyaml >=5.4,<=6.0”Œrequests >=2.28.1,<=2.28.2”Œscikit-image >=0.19.0,<=0.19.3”Œscikit-learn >=1.0.2,<=1.2.1”Œscipy >=1.7.3,<=1.10.1”Œshapely >=1.8.5,<2.0.0”Œsimpleitk >=2.1.1,<=2.2.1”Œsphinx >=4.3.2,<=6.1.3”Œ tifffile >=2021.11.2,<=2023.2.28”Œtorchvision >=0.13.0,<=0.14.1”Œtqdm >=4.63.0,<=4.64.1”Œumap-learn >=0.5.0,<0.5.3”Œwsidicom >=0.3.2,<0.7.0”Œzarr >=2.12.0,<=2.14.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙG{ë"ÑhEJ56 hFˆubh)”}”(hŒ
tiatoolbox”h#Œ1.4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#tiatoolbox-1.4.0-pyhd8ed1ab_1.conda”h+Œ c3dd5d6d1505d54eb397d17afa65421c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tiatoolbox-1.4.0-pyhd8ed1ab_1.conda”h0Œ@74e5193d9bef0dc59e0b5eebb9e0988ff1601a792cf6f66a91b35fd31dd6bc0f”h2NhNh3(Œalbumentations >=1.2.0,<=1.3.0”Œclick >=8.1.0,<=8.1.3”Œcudatoolkit >=11.7,<=11.8”Œdefusedxml >=0.6.0,<=0.7.1”Œflask >=2.2.2,<=2.3.2”Œglymur >=0.12.1,<=0.12.5”Œ#imagecodecs >=2022.9.26,<=2023.3.16”Œjoblib >=1.1.1,<=1.2.0”Œjupyterlab >=3.5.2,<=3.6.3”Œmatplotlib-base >=3.6.2,<=3.7.1”Œnumpy >=1.23.5,<1.24.3”Œopencv >=4.6.0,<=4.7.0”Œopenjpeg >=2.4.0,<=2.5.0”Œ openslide-python >=1.2.0,<=1.2.0”Œpandas >=2.0.0,<=2.0.1”Œpillow >=9.2.0,<=9.5.0”Œpixman >=0.39.0,<=0.40.0”Œpydicom >=2.3.1,<=2.3.1”Œpython >=3.8,<=3.11”Œpytorch >=1.13.0,<=2.0.0”Œpyyaml >=6.0,<=6.0”Œrequests >=2.28.1,<=2.30.0”Œscikit-image >=0.20.0,<=0.20.0”Œscikit-learn >=1.2.0,<=1.2.2”Œscipy >=1.8.0,<=1.10.1”Œshapely >=2.0.0,<=2.0.1”Œsimpleitk >=2.2.1,<=2.2.1”Œsphinx >=5.3.0,<=7.0.0”Œ!tifffile >=2022.10.10,<=2023.4.12”Œtorchvision >=0.13.0,<=0.15.1”Œtqdm >=4.64.1,<=4.65.0”Œumap-learn >=0.5.0,<=0.5.3”Œwsidicom >=0.7.0,<=0.9.0”Œzarr >=2.13.3,<=2.14.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ0TÝ/hEJ©6 hFˆubh)”}”(hŒ
tidypandas”h#Œ0.2.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#tidypandas-0.2.5-pyhd8ed1ab_0.conda”h+Œ e28afac4cd605ff80c92ea3575291af6”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tidypandas-0.2.5-pyhd8ed1ab_0.conda”h0Œ@e8623e764b81495037942618305f1e705d82d8ae58356e734ff24ade5db12184”h2NhNh3Œ#collections-extended >=2.0.2,<3.0.0”Œpandas >=1.0.0,<2.0.0”Œpython >=3.6,<4.0”‡”h9h?h@ŒMIT”hDGAÙ")º=qhEMÇ½hFˆubh)”}”(hŒtifffile”h#Œ	2023.2.28”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%tifffile-2023.2.28-pyhd8ed1ab_0.conda”h+Œ 6ed72880d5af877a3c8252bb52d355ae”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/tifffile-2023.2.28-pyhd8ed1ab_0.conda”h0Œ@5b1559d193e9d4841ee458ccc461301c786226393679dc543c507118588dbbf8”h2NhNh3Œimagecodecs >=2023.1.23”Œnumpy >=1.19.2”Œpython >=3.8”‡”h6Œmatplotlib-base >=3.3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ »+×
hEJ7¡ hFˆubh)”}”(hŒtifffile”h#Œ	2023.4.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%tifffile-2023.4.12-pyhd8ed1ab_0.conda”h+Œ b2ade33a630dada190c1220f3515fc5c”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/tifffile-2023.4.12-pyhd8ed1ab_0.conda”h0Œ@f2d9012d8decd78d1bd75fd58323253a157526a1553c2f35c5f48bf54b381756”h2NhNh3Œimagecodecs >=2023.1.23”Œnumpy >=1.19.2”Œpython >=3.8”‡”h6Œmatplotlib-base >=3.3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙåbØr°hEJÖª hFˆubh)”}”(hŒ	tiffslide”h#Œ2.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"tiffslide-2.1.2-pyhd8ed1ab_0.conda”h+Œ 35bb5931a574bdffb8e1989bba884275”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tiffslide-2.1.2-pyhd8ed1ab_0.conda”h0Œ@a76b298e229e75d063478cc04f3faa24d63619cf81172d52873277b5503b5644”h2NhNh3(Œfsspec !=2022.11.0,!=2023.1.0”Œimagecodecs”Œpillow”Œpython >=3.7”Œtifffile >=2021.6.14”Œtyping-extensions >=4.0”Œzarr”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ’*xƒhEM‚hFˆubh)”}”(hŒ	tifftools”h#Œ1.3.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#tifftools-1.3.12-pyhd8ed1ab_0.conda”h+Œ 8f6c5f0f0aed598eb7fba7f50af6af05”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tifftools-1.3.12-pyhd8ed1ab_0.conda”h0Œ@955b7f3856cbcf4daa6483762f2e1fe3e81259e7799952e43a9514222dd6be86”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ"Õëˆr°hEM‹žhFˆubh)”}”(hŒtike”h#Œ0.24.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtike-0.24.3-pyhd8ed1ab_0.conda”h+Œ 1e3b0f7d73fa84c783898da5424d1b4f”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/tike-0.24.3-pyhd8ed1ab_0.conda”h0Œ@ee89d7b87194dbea28e4c58051e8115e936e13d0366fed2374b8bde32863bb2e”h2NhNh3(Œcupy >=10,!=10.3.0”Œimportlib_resources”Œmatplotlib-base 3.*”Œnumpy >=1.17,<2”Œpy-opencv >=3.4,<5”Œpython >=3.8”Œscipy >=1.6,<2”t”h6Œmpi4py =3.*”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ"Ñ“”‹DhEJ`} hFˆubh)”}”(hŒtiled”h#Œ0.1.0a94”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒtiled-0.1.0a94-hd8ed1ab_0.conda”h+Œ 8d2098c8a6237a0699be24916502600d”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/tiled-0.1.0a94-hd8ed1ab_0.conda”h0Œ@98d421c89a691cb73411cca36d58a8e97ac3de370a72e878ee9bbfa02fc7a39d”h2NhNh3Œ tiled-client 0.1.0a94 hd8ed1ab_0”Œ!tiled-formats 0.1.0a94 hd8ed1ab_0”Œ tiled-server 0.1.0a94 hd8ed1ab_0”‡”h9h?h@ŒBSD-3-Clause”hDGAÙ!û5ohEMÌhFˆubh)”}”(hŒ
tiled-base”h#Œ0.1.0a94”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&tiled-base-0.1.0a94-pyhd8ed1ab_0.conda”h+Œ 2b8e6aae3a4ce21bbfbe1e03642f192d”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/tiled-base-0.1.0a94-pyhd8ed1ab_0.conda”h0Œ@cffcb7db6528e9476b53aa7d942b7ceef30f028550df7afe1d58d476198e4847”h2NhNh3(Œappdirs”Œblosc”Œclick !=8.1.0”Œdask”Œhttpx >=0.20.0”Œ
jsonschema”Œlz4”Œmsgpack-python >=1.0.0”Œndindex”Œnumpy”Œpandas”Œpyarrow”Œpython >=3.8”Œpyyaml”Œsparse >=0.13.0”Œtyper”Œxarray”Œ	zstandard”t”h9h?h@ŒBSD-3-Clause”hDGAÙ!û/»¥ãhEJà( hFˆubh)”}”(hŒtiled-client”h#Œ0.1.0a94”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ&tiled-client-0.1.0a94-hd8ed1ab_0.conda”h+Œ 7d1cee9c45a5f9737127bfab3b9bb2e8”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/tiled-client-0.1.0a94-hd8ed1ab_0.conda”h0Œ@bc6719a7b9be533513d7759fbcee473e0a44c768ee5cb8a97809b4c507a25681”h2NhNh3Œentrypoints”Œheapdict”Œ tiled-base 0.1.0a94 pyhd8ed1ab_0”‡”h9h?h@ŒBSD-3-Clause”hDGAÙ!û2`ÄœhEM~hFˆubh)”}”(hŒtiled-formats”h#Œ0.1.0a94”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ'tiled-formats-0.1.0a94-hd8ed1ab_0.conda”h+Œ 1a9ad40cbf7ec38aa09876b971de4b41”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/tiled-formats-0.1.0a94-hd8ed1ab_0.conda”h0Œ@5f6e18f77becfec0bbb960c6c567c9310bc35c2df79031af551fa82a74e1cb92”h2NhNh3(Œh5netcdf”Œh5py”Œopenpyxl”Œpillow”Œtifffile”Œ tiled-base 0.1.0a94 pyhd8ed1ab_0”t”h9h?h@ŒBSD-3-Clause”hDGAÙ!û3G®hEM—hFˆubh)”}”(hŒtiled-server”h#Œ0.1.0a94”h%Œ
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Apache-2.0”hBŒAPACHE”hDGAØôU`7;dhEM$3hFˆubh)”}”(hŒtimerit”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ timerit-1.0.1-pyhd8ed1ab_0.conda”h+Œ bde80859b3f5d5aa3e3a9f5b196ffea3”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/timerit-1.0.1-pyhd8ed1ab_0.conda”h0Œ@d1049df1a5c7d3a1d7623ce349a4e74fe80664ea8112a2cd5b7674716942e726”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØõÜ-Š=qhEM0ZhFˆubh)”}”(hŒtimm”h#Œ0.6.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtimm-0.6.13-pyhd8ed1ab_0.conda”h+Œ 932487772a92757d114d9a03404ff523”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/timm-0.6.13-pyhd8ed1ab_0.conda”h0Œ@de560ec091e5e88cf5ca57c1e4febb9d082ba861767365087630b0bfdfeb13c0”h2NhNh3(Œhuggingface_hub”Œpython >=3.6”Œpytorch >=1.7”Œpyyaml”Œtorchvision”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ%‹ªJhEJú* hFˆubh)”}”(hŒtimm”h#Œ0.9.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtimm-0.9.2-pyhd8ed1ab_0.conda”h+Œ 5703fcf25c036edb6756db891140f981”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/timm-0.9.2-pyhd8ed1ab_0.conda”h0Œ@ebadd8ed9efb30ecaf80665f3fde08895d184ea4848d2faa66f3e38495956bc8”h2NhNh3(Œhuggingface_hub”Œpython >=3.6”Œpytorch >=1.7”Œpyyaml”Œsafetensors”Œtorchvision”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙQÈÉº^hEJ3Œ hFˆubh)”}”(hŒtimple”h#Œ0.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtimple-0.1.6-pyhd8ed1ab_0.conda”h+Œ 910b243d57210decbda63a5bdb0e84cb”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/timple-0.1.6-pyhd8ed1ab_0.conda”h0Œ@32f3c196edb2044e11952b68ae547b6423dcb48d02d700666d16385b9af33660”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙæÃé©ühEMThFˆubh)”}”(hŒtintx”h#Œ	2022.12.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"tintx-2022.12.2-pyhd8ed1ab_0.conda”h+Œ 536782693a3b08e469bb61c6305b95d3”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tintx-2022.12.2-pyhd8ed1ab_0.conda”h0Œ@12b2aa56dd486cb13a3ee0f81e2babf39e9b3edff425ce42f63c4abca264f573”h2NhNh3(Œcartopy”Œcftime”Œclick”Œ	dask-core”Œ	geopandas”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpandas”Œpytables”Œpython >=3.7”Œrasterio”Œscipy”Œshapely”Œtqdm”Œtyping-extensions”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØó®-PhEMY–hFˆubh)”}”(hŒtinuous”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ tinuous-0.6.1-pyhd8ed1ab_0.conda”h+Œ fcfd35c5df78ab2830328d08fcbce0a2”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tinuous-0.6.1-pyhd8ed1ab_0.conda”h0Œ@703317f60503c4d0e2904375743443cf0ee1ce1286f33d8089829718382bb03d”h2NhNh3(Œclick”Œclick-loglevel >=0.2”Œdatalad”Œin_place >=0.4”Œpydantic 1.*”Œpygithub”Œpython >=3.8”Œpython-dateutil >=2.7”Œpython-dotenv”Œpyyaml”Œrequests 2.*”t”h9h?h@ŒMIT”hBŒMIT”hDGAØùKÎ‡+hEMÛshFˆubh)”}”(hŒtinydb”h#Œ4.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtinydb-4.8.0-pyhd8ed1ab_0.conda”h+Œ 52c5c2d7ba342e3a62f94e645dacc940”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/tinydb-4.8.0-pyhd8ed1ab_0.conda”h0Œ@1d10ec62f65908b839e8d353863b75b2d7f5e11f0e2be7f462d2bf7cbca22301”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙ!åªXƒhEM÷lhFˆubh)”}”(hŒtinyflux”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!tinyflux-0.4.0-pyhd8ed1ab_0.conda”h+Œ 380f447e656ea01987325d2354ebff8f”•      h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/tinyflux-0.4.0-pyhd8ed1ab_0.conda”h0Œ@12733e05ad2a3a3c8d762cf86ca590b03a553b29e73ac235e0a2b912064a6fa3”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAÙÃ˜A‰hEMêˆhFˆubh)”}”(hŒtinygltf”h#Œ2.8.12”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ tinygltf-2.8.12-hd8ed1ab_0.conda”h+Œ ac6fc4038a203d811648217e786961ba”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tinygltf-2.8.12-hd8ed1ab_0.conda”h0Œ@a9ba7a376a56656a5fe820a2ae75e8646c94a796eedfc11f492a5e0cfa17f066”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGAÙ"U"‡l‹hEJ˜È hFˆubh)”}”(hŒtld”h#Œ0.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtld-0.13-pyhd8ed1ab_0.conda”h+Œ e248f4fd8328e7c1cc3262487b6f9ed9”h-Nh.ŒIhttps://conda.anaconda.org/conda-forge/noarch/tld-0.13-pyhd8ed1ab_0.conda”h0Œ@3e182940a77e65444abf736d48249367200e152ac515a69389973bf82b3895f7”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-2.1-or-later”hBŒGPL”hDGAØÿW0è ÅhEJ»® hFˆubh)”}”(hŒ
tldextract”h#Œ3.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#tldextract-3.4.4-pyhd8ed1ab_0.conda”h+Œ eb85a5454453d8749b11a5f701ea8171”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tldextract-3.4.4-pyhd8ed1ab_0.conda”h0Œ@d4819fbf866fbf9c5cc3e90d901f0fd138d5d118dc7dc6e1c448aa134aa3edb2”h2NhNh3(Œfilelock”Œidna”Œpython >=3.6”Œrequests >=2.1.0”Œrequests-file >=1.4”Œ
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pyaescrypt”Œpython >=3.7”Œpython-kubernetes”Œrequests”Œtvb-library”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAÙmæÑ%hEMˆëhFˆubh)”}”(hŒtwarc”h#Œ2.14.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtwarc-2.14.0-pyhd8ed1ab_0.conda”h+Œ 1359006693f7b01bd41806ccb6b078a1”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/twarc-2.14.0-pyhd8ed1ab_0.conda”h0Œ@399707f3a4e31720c3eab24f8461cbd096fc398448739f2afb63535f00e88b37”h2NhNh3(Œclick >=7,<9”Œclick-config-file >=0.6”Œclick-plugins >=1”Œhumanize >=3.9”Œpython >=3.3”Œpython-dateutil >=2.8”Œrequests-oauthlib >=1.3”Œtqdm >=4.62”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙvÂ¡ËhEMÄÔhFˆubh)”}”(hŒtweepy”h#Œ4.14.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ tweepy-4.14.0-pyhd8ed1ab_0.conda”h+Œ b409ea898ed5f081f5c6836e0a82e150”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tweepy-4.14.0-pyhd8ed1ab_0.conda”h0Œ@5a21b0426c8dda16fc8b785831fa032280caba8ad708c5682ef3472613cd382d”h2NhNh3(Œoauthlib >=3.2.0,<4”Œpython >=3.7”Œrequests >=2.27.0,<3”Œrequests-oauthlib >=1.2.0,<2”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙð™nhEJw hFˆubh)”}”(hŒ	tweetynet”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"tweetynet-0.9.0-pyhd8ed1ab_0.conda”h+Œ c46e74d1bd8e85ff844487dd43bf788a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tweetynet-0.9.0-pyhd8ed1ab_0.conda”h0Œ@dde767cad190da78d5e845fde335e65146ed53899547ece40e7f60fbeaeb026f”h2NhNh3Œpython >=3.8”Œpytorch >=1.7.1”Œvak >=0.8.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ ]âO;dhEM18hFˆubh)”}”(hŒtwilio”h#Œ8.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtwilio-8.3.0-pyhd8ed1ab_0.conda”h+Œ d378f6ad2c361aab5d902e950c779090”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/twilio-8.3.0-pyhd8ed1ab_0.conda”h0Œ@715968958f9b0258ed3ec43ad6ed991458cda07c5ea37a8b04d8ef11ea1caf75”h2NhNh3(Œaiohttp >=3.8.4”Œaiohttp-retry >=2.8.3”Œpyjwt >=2.0.0,<3.0.0”Œpython >=3.7”Œpytz”Œrequests >=2.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ"·x†E¢hEJ§¿ hFˆubh)”}”(hŒtwine”h#Œ4.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtwine-4.0.2-pyhd8ed1ab_0.conda”h+Œ e3a16168d6b9deefb8c1caa7943fb49e”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/twine-4.0.2-pyhd8ed1ab_0.conda”h0Œ@3e0c4f23d6a7d71783095b715f56c9f5f26feefaa9f30e27793dd12dc28e76c9”h2NhNh3(Œimportlib_metadata >=3.6”Œkeyring >=15.1”Œpkginfo >=1.8.1”Œpython >=3.7”Œreadme_renderer >=35.0”Œrequests >=2.20”Œ!requests-toolbelt >=0.8.0,!=0.9.0”Œrfc3986 >=1.4.0”Œrich >=12.0.0”Œurllib3 >=1.26.0”t”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØöS~…hEMœ£hFˆubh)”}”(hŒtxtai”h#Œ5.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtxtai-5.5.1-pyhd8ed1ab_0.conda”h+Œ b21185125656bf0b6b1ff37b4685e70a”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/txtai-5.5.1-pyhd8ed1ab_0.conda”h0Œ@795010de09a1b8c8c936e67b833648bf3af98ee5f6c3d47a6d08df8bc47b734c”h2NhNh3(Œfaiss-cpu >=1.7.1.post2”Œnumpy >=1.18.4”Œpython >=3.7”Œpytorch >=1.6.0”Œpyyaml >=5.3”Œtransformers >=4.22.0”t”h9h?h@Œ
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typepigeon”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#typepigeon-2.0.1-pyhd8ed1ab_0.conda”h+Œ 60effff86f869e13bb42db11779570ac”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/typepigeon-2.0.1-pyhd8ed1ab_0.conda”h0Œ@5500146c83f9eb9c558f0c9102ec0240c42be9640a3ba914454c53bb85c17ecb”h2NhNh3(Œimportlib-metadata”Œpyproj”Œpython >=3.6”Œpython-dateutil”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØñûk‡ hEMüghFˆubh)”}”(hŒtypepy”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtypepy-1.3.1-pyhd8ed1ab_0.conda”h+Œ 688e2c41a5886c9275bf2b6b558ffe78”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/typepy-1.3.1-pyhd8ed1ab_0.conda”h0Œ@18e6a967b352116653c8b43a1961801a73d22d58cba8d6f7a90b42da228cdbd4”h2NhNh3Œmbstrdecoder >=1.0.0,<2”Œpython >=3.5”Œsetuptools >=38.3.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ!#B(öhEM½YhFˆubh)”}”(hŒtyper”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtyper-0.9.0-pyhd8ed1ab_0.conda”h+Œ 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types-pytz”h#Œ
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hd8ed1ab_0”h'K hhh(h)hŒ(typing-extensions-4.6.3-hd8ed1ab_0.conda”h+Œ 3876f650ed7d0f95d70fa4b647621909”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.6.3-hd8ed1ab_0.conda”h0Œ@d2334dab270e13182403cc3a394e3da8e7acb409e94059a6d9223d2ac053f90a”h2NhNh3Œ$typing_extensions 4.6.3 pyha770c72_0”…”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAÙt`¦éyhEM8'hFˆubh)”}”(hŒtyping_extensions”h#Œ4.6.3”h%Œpyha770c72_0”h'K hhh(h)hŒ*typing_extensions-4.6.3-pyha770c72_0.conda”h+Œ 4a3014a4d107d15475d106b751c4e352”h-Nh.ŒXhttps://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.6.3-pyha770c72_0.conda”h0Œ@90a8d56c8015af1575d504d5f77d95a806cd999fc178a06ab51a349f1f744672”h2NhNh3Œpython >=3.7”…”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAÙt^ç+hEMYˆhFˆubh)”}”(hŒtyping_inspect”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'typing_inspect-0.8.0-pyhd8ed1ab_0.conda”h+Œ 026879016b797af1d810d0827c5e43c9”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/typing_inspect-0.8.0-pyhd8ed1ab_0.conda”h0Œ@8c0c0ca38c328bb0fa9e89888cb5b54e5f23fd0a06ced310e81a6799cb3dda6a”h2NhNh3Œmypy_extensions >=0.3.0”Œpython >=3.5”Œtyping_extensions >=3.7.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØò4_‡+hEM‹8hFˆubh)”}”(hŒtyping_inspect”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'typing_inspect-0.9.0-pyhd8ed1ab_0.conda”h+Œ 9e924b76b91908a17e28a19a0ab88687”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/typing_inspect-0.9.0-pyhd8ed1ab_0.conda”h0Œ@16e0b825c138e14ebc84623248d91d93a8cff29bb93595cc4aa46ca32f24f1de”h2NhNh3Œmypy_extensions >=0.3.0”Œpython >=3.5”Œtyping_extensions >=3.7.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙäÑfhEM::hFˆubh)”}”(hŒtzdata”h#Œ2023c”h%Œ
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Apache-2.0”hBŒApache”hDGAÙ–'Ä(öhEJuÆ hFˆubh)”}”(hŒvertica-python”h#Œ1.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'vertica-python-1.3.2-pyhd8ed1ab_0.conda”h+Œ 85c36cdf6d3634ffe000af8300700177”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/vertica-python-1.3.2-pyhd8ed1ab_0.conda”h0Œ@5178f245a5f7000f779539c943a7af71b02436177264b80ca3970aea856559e2”h2NhNh3•      Œpython >=3.7”Œpython-dateutil >=1.5”Œsix >=1.10.0”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙë¶J^5hEJpM hFˆubh)”}”(hŒ	verticapy”h#Œ0.12.0”h%Œpypyhd8ed1ab_0”h'K hhh(h)hŒ%verticapy-0.12.0-pypyhd8ed1ab_0.conda”h+Œ 1a288ad5833195a9dee2755a35fa3071”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/verticapy-0.12.0-pypyhd8ed1ab_0.conda”h0Œ@9f2733ee7b9c416b765b5633b763bd81048c19e9ad71f283d3cd425610b61c12”h2NhNh3(Œmatplotlib-base <=3.5.3”Œnumpy”Œpandas”Œpython <3.9”Œpython >=3.6”Œpython-dateutil”Œpython-graphviz”Œpython-highcharts”Œrequests-kerberos”Œscipy”Œtqdm”Œvertica-python”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØåLûŽffhEJ´^ hFˆubh)”}”(hŒ	vharfbuzz”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"vharfbuzz-0.2.0-pyhd8ed1ab_0.conda”h+Œ 281be94ff5fe8ee140f9088ec5ad6cf7”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/vharfbuzz-0.2.0-pyhd8ed1ab_0.conda”h0Œ@0e21951f0345d6faca837f16fa2fc175be42457ba342faf5172c1bc71131523c”h2NhNh3Œ	fonttools”Œpython >=3.6”Œ	uharfbuzz”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ ”¾—hEM$,hFˆubh)”}”(hŒviewable”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!viewable-0.0.7-pyhd8ed1ab_0.conda”h+Œ 51b77a3663164da0550f2cbf403ea9e6”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/viewable-0.0.7-pyhd8ed1ab_0.conda”h0Œ@a8772a61c10bc95492729375860db8519bc0ba723cb515b01958aca60bc60585”h2NhNh3Œpython >=3.5”Œtkutil”†”h9h?h@ŒMIT”hBŒMIT”hDGAØþ÷JZ-hEM‹.hFˆubh)”}”(hŒ	vipaccess”h#Œ0.14.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#vipaccess-0.14.1-pyhd8ed1ab_0.conda”h+Œ 65282886c2816855453b34db24fcf76b”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/vipaccess-0.14.1-pyhd8ed1ab_0.conda”h0Œ@3fb8b0d28e0c58213effc81211e2f13dfc772892178bf4c1ef6453e762ba09c3”h2NhNh3(Œ
lxml 4.2.5”Œoath >=1.4.1”Œpycryptodome 3.6.6”Œpython >=3.3”Œrequests”t”h9h?h@Œ
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watchtower”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#watchtower-3.0.1-pyhd8ed1ab_0.conda”h+Œ bfff74115c56795ac3a706fb8ae886b9”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/watchtower-3.0.1-pyhd8ed1ab_0.conda”h0Œ@f2397edd6f7a92324faaa29c158993abfc3d124e584ef6629c8710e5b5ff8f0b”h2NhNh3Œboto3 >=1.9.253,<2”Œpython >=3.7”†”h9h?h@Œ
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setuptools”t”h9h?h@Œ
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setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÙ	<"´ÌÍhEM€öhFˆubh)”}”(hŒwhiteboxgui”h#Œ2.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$whiteboxgui-2.3.0-pyhd8ed1ab_0.conda”h+Œ 96916399e481bbf4cc727ab14d539359”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/whiteboxgui-2.3.0-pyhd8ed1ab_0.conda”h0Œ@38c8f2b8981b761472e7a811af342d4980c10629548cb3fc57fd7b8191c0ad7c”h2NhNh3(Œipyfilechooser”Œipytree”Œ
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whitenoise”h#Œ6.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#whitenoise-6.4.0-pyhd8ed1ab_0.conda”h+Œ abe31728b467e070e2be77ae2e0e248c”h-Nh.ŒQhttps://conda.anaconda.org/conda-forge/noarch/whitenoise-6.4.0-pyhd8ed1ab_0.conda”h0Œ@764b959009175964d151305adb3b672c68de541e091be6bc9c458cb5b01cb0a9”h2NhNh3Œpython >=3.5,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØþw—l‹hEMßXhFˆubh)”}”(hŒwidgetsnbextension”h#Œ4.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+widgetsnbextension-4.0.7-pyhd8ed1ab_0.conda”h+Œ bcc54b91a8ce88f60f538b87b409909e”h-Nh.ŒYhttps://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-4.0.7-pyhd8ed1ab_0.conda”h0Œ@c63d6e1a51593895dec44931fb2396cfb80e8454d3c7062311a6194032c9b47e”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙÆ3*¬hEJçñ hFˆubh)”}”(hŒwield.bunch”h#Œ0.9.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$wield.bunch-0.9.9-pyhd8ed1ab_0.conda”h+Œ 90a20457c1fe3326f15cab4f19999844”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/wield.bunch-0.9.9-pyhd8ed1ab_0.conda”h0Œ@e6d07c550745b42644f0806df38fc1567b23e037d53fdca300fc5d8f7f644d25”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@Œ
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sqlalchemy”t”h9h?h@ŒPublic Domain”hBŒOTHER”hDGAÙ›…hEJk% hFˆubh)”}”(hŒxrft”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxrft-1.0.1-pyhd8ed1ab_0.conda”h+Œ 137f63327c7836fc2c2491a86f51ea3c”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/xrft-1.0.1-pyhd8ed1ab_0.conda”h0Œ@b11e0c65e5ae3a9ff7dee0b7648f7d09c6e3ace082ffc4521a9d0d3bfc40327a”h2NhNh3(Œdask”Œdocrep”Œfuture”Œnumpy”Œpython >=3.6”Œscipy”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØøÿBNùÛhEMü€hFˆubh)”}”(hŒxrtpy”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxrtpy-0.2.0-pyhd8ed1ab_0.conda”h+Œ a7495766c8c59fe39a567f24836e2ace”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/xrtpy-0.2.0-pyhd8ed1ab_0.conda”h0Œ@ebef0bcce20c4929c0f3f52537a7e856a7e923603d224c032eaf78ebb347d92d”h2NhNh3(Œastropy >=4.3.1”Œcached-property >=1.5.2”Œmatplotlib-base >=3.3.0”Œnumpy >=1.20.0”Œ	packaging”Œpython >=3.8”Œscipy >=1.5.0”Œsunpy >=2.0.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÙ‡à‚Ÿ¾hEJ…Ý> hFˆubh)”}”(hŒxsar”h#Œ
2023.03.02”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"xsar-2023.03.02-pyhd8ed1ab_0.conda”h+Œ fefc1a1f7b7a04822d760fda84cfc87a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/xsar-2023.03.02-pyhd8ed1ab_0.conda”h0Œ@74a2aa1f733b92d7f796ccce8d460646a861edfb12b425b114dceaa602a1eba8”h2NhNh3(Œaiohttp”Œcartopy >=0.19.0”Œdask >=2021.6.2”Œ
gdal >=3.3”Œ	geopandas”Œimportlib_resources”Œjmespath”Œlxml”Œmore-itertools”Œpandoc”Œpython >=3.8”Œrasterio >=1.2.6,<=1.3.0.post1”Œrioxarray >=0.10”Œsetuptools_scm”Œsetuptools_scm_git_archive”Œxarray”Œxarray-datatree”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ 4¤RÀƒhEMVÕhFˆubh)”}”(hŒxsarslc”h#Œ	2023.6.15”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$xsarslc-2023.6.15-pyhd8ed1ab_0.conda”h+Œ 1487a27fe51ec607022536ebbeeea501”h-Nh.ŒRhttps://conda.anaconda.org/conda-forge/noarch/xsarslc-2023.6.15-pyhd8ed1ab_0.conda”h0Œ@32f4e3ba392ebf5cfc2f210f5054a40db55930d34ddbf341841e58a00d347a77”h2NhNh3(Œimportlib-resources”Œnetcdf4”Œnumpy”Œpython >=3.9”Œshapely”Œtqdm”Œxarray”Œxarray-datatree”Œxrft”t”h9h?h@ŒGPL-3.0-or-later”hDGAÙ"ÀznffhEMÆÎhFˆubh)”}”(hŒxsdata”h#Œ23.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxsdata-23.5-pyhd8ed1ab_0.conda”h+Œ 490c687da202c48f6e1aefb051539da5”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/xsdata-23.5-pyhd8ed1ab_0.conda”h0Œ@410962749bf088499a941ff608fa87b521568fa4534aa4effc391569d8c39b13”h2NhNh3(Œclick”Œclick-default-group”Œdataclasses”Œdocformatter”Œimportlib-metadata”Œjinja2”Œlxml”Œpython >=3.6”Œrequests”Œtoposort”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ†`0ÄœhEJ{ hFˆubh)”}”(hŒxtiff”h#Œ0.7.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxtiff-0.7.9-pyhd8ed1ab_0.conda”h+Œ 1c34b00bffbb42185fbd30fcc49e6d36”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/xtiff-0.7.9-pyhd8ed1ab_0.conda”h0Œ@e68f42571363fdb72bb989e5ffd153e82173c92cce74d0e6092a0ad5731d8538”h2NhNh3Œnumpy”Œpython >=3.8”Œtifffile >=2022.4.22”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØöŒ@×PhEMˆ<hFˆubh)”}”(hŒxugrid”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxugrid-0.5.0-pyhd8ed1ab_0.conda”h+Œ fb0c02969ec717e4edd3a921bcdfce55”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/xugrid-0.5.0-pyhd8ed1ab_0.conda”h0Œ@79660d330e44a575bc97ae65d988088c9b27510c5d12508f8b895e7771a246a6”h2NhNh3(Œdask”Œ	geopandas”Œnumba >=0.50”Œnumba_celltree”Œnumpy”Œpandas”Œpooch”Œpython >=3.7”Œscipy”Œshapely >=2.0”Œxarray >=0.15”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÏVéyhEJ/ hFˆubh)”}”(hŒxvec”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxvec-0.1.0-pyhd8ed1ab_0.conda”h+Œ 5f7c79e19e36a606ad41f196284133f0”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/xvec-0.1.0-pyhd8ed1ab_0.conda”h0Œ@2c8ebd201ad0bef61b496d9bb7e39083d594ffa1cb1befb3d2581072e8deaef6”h2NhNh3(Œpyproj >=3.0.0”Œpython >=3.9”Œshapely >=2.0b1”Œxarray >=2022.12.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙÞ™Ÿ;dhEMØ]hFˆubh)”}”(hŒxymol”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxymol-0.0.1-pyhd8ed1ab_0.conda”h+Œ 9df615e974a731a94f93352ae081d61f”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/xymol-0.0.1-pyhd8ed1ab_0.conda”h0Œ@403d6ad5b964276a8045de14026b49016993a8e87ab45f30107ad9fc83139c13”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œrdkit”t”h9h?h@Œ
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hEMPhFˆubh)”}”(hŒyamllint”h#Œ1.32.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"yamllint-1.32.0-pyhd8ed1ab_0.conda”h+Œ 6d2425548b0293a225ca4febd80feaa3”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/yamllint-1.32.0-pyhd8ed1ab_0.conda”h0Œ@68d7e5b437c0e3898d94ed3d45ae686b3cedcaa3e647884f017ceb903942ee26”h2NhNh3Œpathspec >=0.5.3”Œpython >=3.7”Œpyyaml”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAÙ,Ñ&éhEJíD hFˆubh)”}”(hŒyandexcloud”h#Œ0.219.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&yandexcloud-0.219.0-pyhd8ed1ab_0.conda”h+Œ 0ad24366a912cb34e16e096dfdc6be5a”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/yandexcloud-0.219.0-pyhd8ed1ab_0.conda”h0Œ@1c956fc94c05b30054a5f5792fc06865002064b4e5f0ba4d5d0b10c2e21634b1”h2NhNh3(Œcryptography >=2.8”Œ!googleapis-common-protos >=1.53.0”Œgrpcio >=1.38.1”Œprotobuf <3.21”Œpyjwt >=1.7.1”Œpython >=3.7”Œrequests >=2.22.0”Œsix >=1.14.0”t”h9h?h@ŒMIT”hDGAÙ"¬ú²~úhEJðV hFˆubh)”}”(hŒyapf”h#Œ0.33.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒyapf-0.33.0-pyhd8ed1ab_0.conda”h+Œ 407e99cc5a5553922815071d6cbed07f”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/yapf-0.33.0-pyhd8ed1ab_0.conda”h0Œ@ee058576e812c0b0ba33827633be0aeffee788e279ce7f707c7b49a22eb0b241”h2NhNh3Œpython >=2.7”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙ»ÌÉûçhEJÊ" hFˆubh)”}”(hŒyapf”h#Œ0.33.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒyapf-0.33.0-pyhd8ed1ab_1.conda”h+Œ ea4867f364b3f7f48c67643028c7f4c6”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/yapf-0.33.0-pyhd8ed1ab_1.conda”h0Œ@e3c27627e17c1ad9bfa3d441feef136c980a6c740a854cd9f7f661c1876f13d5”h2NhNh3Œpython >=3.7”Œtomli >=2.0.1”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÙÆEÇß;hEJe$ hFˆubh)”}”(hŒ	yaqd-core”h#Œ2023.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%yaqd-core-2023.2.0-pyhd8ed1ab_0.conda”h+Œ 9a5f68b1f1df1a80bd3d6685648a835b”h-Nh.ŒShttps://conda.anaconda.org/conda-forge/noarch/yaqd-core-2023.2.0-pyhd8ed1ab_0.conda”h0Œ@406e6425a56c165ac73519b5d7499185054b20723e23e46487cffabf7227e6ba”h2NhNh3(Œappdirs”Œfastavro >=1.4.0”Œpython >=3.7”Œtomli”Œtomli-w”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ÷ ­?ß;hEMþfhFˆubh)”}”(hŒ
yaqd-dwyer”h#Œ2023.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&yaqd-dwyer-2023.1.0-pyhd8ed1ab_0.conda”h+Œ 6f00156038727d953c1ee8c85b85e26a”h-Nh.ŒThttps://conda.anaconda.org/conda-forge/noarch/yaqd-dwyer-2023.1.0-pyhd8ed1ab_0.conda”h0Œ@add575a2d1bf59219a78a1c22857f06baf9cd9c288f2eba750700b2ccafefc31”h2NhNh3(Œminimalmodbus”Œpyserial”Œpython >=3.7”Œyaqd-core >=2020.06.3”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙlöŒ‹DhEM ?hFˆubh)”}”(hŒyaqd-horiba”h#Œ2023.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'yaqd-horiba-2023.1.0-pyhd8ed1ab_0.conda”h+Œ dcfb7922ff6af99f854a275922efbbae”h-Nh.ŒUhttps://conda.anaconda.org/conda-forge/noarch/yaqd-horiba-2023.1.0-pyhd8ed1ab_0.conda”h0Œ@165474aec957ea2a47c65df7a341d01b727312acb141334b4e9841217d4f29c7”h2NhNh3Œpython >=3.7”Œpyusb”Œyaqd-core >=2020.06.3”‡”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØò4™Û#hEM¨DhFˆubh)”}”(hŒyaqd-labjack”h#Œ2023.2.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ(yaqd-labjack-2023.2.0-pyhd8ed1ab_1.conda”h+Œ 9b17ab077391f4a10325c05294ab2c14”h-Nh.ŒVhttps://conda.anaconda.org/conda-forge/noarch/yaqd-labjack-2023.2.0-pyhd8ed1ab_1.conda”h0Œ@af0f03eb87fa3bf86ff0e1ba7ead6602befe2bce2315f526c5976e86d80f1dc9”h2NhNh3(Œpymodbus >=3”Œpyserial-asyncio”Œpython >=3.7”Œyaqd-core >=2020.06.3”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAÙˆŽ%ó¶hEM\ChFˆubh)”}”(hŒyarn”h#Œ3.6.0”h%Œ
h08f2357_0”h'K hhh(h)hŒyarn-3.6.0-h08f2357_0.conda”h+Œ 86a6e3a2c9f0fd16562c9dacdf35bc82”h-Nh.ŒIhttps://conda.anaconda.org/conda-forge/noarch/yarn-3.6.0-h08f2357_0.conda”h0Œ@9b6359b3c806d902b1aa6467741ad82e37167a9dbb40b8fb26ce900143389478”h2NhNh3Œ__win”Œnodejs >=14.10.0”†”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAÙuõMOßhEJÜQ hFˆubh)”}”(hŒyarn”h#Œ3.6.0”h%Œ
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setuptools”Œtomli”Œtwine >=1.6.0”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAÙ 3ZhEJÙ$ hFˆubh)”}”(hŒ	zeus-mcmc”h#Œ2.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"zeus-mcmc-2.5.4-pyhd8ed1ab_0.conda”h+Œ bddf7ec21126e9bf8d0431ab8a94335a”h-Nh.ŒPhttps://conda.anaconda.org/conda-forge/noarch/zeus-mcmc-2.5.4-pyhd8ed1ab_0.conda”h0Œ@7bbeffad01ec2755ee04e9175a33f0da0601ddc9e43fa0be43530b6371ad19bb”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpytest”Œpython >=3.6”Œscikit-learn”Œscipy >=1.5.0”Œseaborn”Œtqdm”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØï÷~ƒC–hEM¿hFˆubh)”}”(hŒzfel”h#Œ0.9.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒzfel-0.9.4-pyhd8ed1ab_0.conda”h+Œ d1ee48a59ae5a79e5b9e452006629922”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/zfel-0.9.4-pyhd8ed1ab_0.conda”h0Œ@13cd2b587387cfa0abd1a69bbfd0d1996684e7abd0f802c1fe18a34a4d79f718”h2NhNh3Œnumpy”Œpython >=3.8”Œscipy”‡”h9h?h@Œ
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setuptools”Œworkflows >=2.14”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÙ„ÿ®hEMÚhFˆubh)”}”(hŒzodburi”h#Œ2.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ zodburi-2.6.0-pyhd8ed1ab_0.conda”h+Œ b36baf7401230ea22c3dc52dbea65d39”h-Nh.ŒNhttps://conda.anaconda.org/conda-forge/noarch/zodburi-2.6.0-pyhd8ed1ab_0.conda”h0Œ@dc103a6a3cbcdf821ac988e673f36da2825ccedf4135e00dc3c9cc43a65dd88a”h2NhNh3(Œpython >=3.6”Œ
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zope.event”Œzope.hookable >=4.2.0”Œzope.interface >=5.3”t”h9h?h@ŒZPL-2.1 & BSD-3-Clause”hDGAÙ2Äå¸hEMg½hFˆubh)”}”(hŒ
zope.event”h#Œ4.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!zope.event-4.6-pyhd8ed1ab_0.conda”h+Œ 3c7fca247c9845183b753dbecbe402bb”h-Nh.ŒOhttps://conda.anaconda.org/conda-forge/noarch/zope.event-4.6-pyhd8ed1ab_0.conda”h0Œ@d29aa0ca80cb8c8a49bac960670789b52e460a2e81d9277472876a63748f2a72”h2NhNh3Œpython >=2.7”Œ
setuptools”†”h9h?h@ŒZPL-2.1”hDGAØæÇh ÅhEM‹-hFˆubh)”}”(hŒzppy”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒzppy-2.2.0-pyhd8ed1ab_0.conda”h+Œ afc74629ac41389d4d66f6b8661c5351”h-Nh.ŒKhttps://conda.anaconda.org/conda-forge/noarch/zppy-2.2.0-pyhd8ed1ab_0.conda”h0Œ@d6d9c722c91fd70f350c9b9daf02769268f3b019383227820b1f130d100258a1”h2NhNh3(Œconfigobj >=5.0.0,<6.0.0”Œjinja2 >=2.0.0”Œmache >=1.3.2”Œmpas_tools >=0.15.0”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause AND custom”hDGAØø¾œhbhEM¶ûhFˆubh)”}”(hŒzstash”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒzstash-1.3.0-pyhd8ed1ab_0.conda”h+Œ 03f82dc71e97058c06655b10656d5985”h-Nh.ŒMhttps://conda.anaconda.org/conda-forge/noarch/zstash-1.3.0-pyhd8ed1ab_0.conda”h0Œ@2b45d9985900129f87cb31b2ec84ad42ac4d0017328adc64996782ad4e1f4bf7”h2NhNh3(Œ"fair-research-login >=0.2.6,<0.3.0”Œglobus-sdk >=3.0.0,<4.0.0”Œpython >=3.6”Œsix”t”h9h?h@ŒBSD-3-Clause and custom”hDGAØø¾r›Æ¨hEMzhFˆubh)”}”(hŒzulip”h#Œ0.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒzulip-0.8.2-pyhd8ed1ab_0.conda”h+Œ e4d44d567384b1457d1f9a328173c677”h-Nh.ŒLhttps://conda.anaconda.org/conda-forge/noarch/zulip-0.8.2-pyhd8ed1ab_0.conda”h0Œ@627724ed432b16b4621370728865e50ffe914c70118ccf2273cf51031d8acd98”h2NhNh3(Œclick”Œdistro”Œmatrix_client”Œpython >=3.6”Œrequests >=0.12.1”Œtyping-extensions >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAÙ)JqûçhEJ-Ñ hFˆubh)”}”(hŒfcswrite”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#fcswrite-0.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ 7cb045f304c2a64e13a7fb298a8c1c58”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/fcswrite-0.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@b1f235d4f5adce4b27091ad501822cb225db0f8e5662cb4dfe1171888d119773”h2NhNh3Œnumpy >=1.7.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕuÛD›¦hEM 1hFˆubh)”}”(hŒ
r-varselrf”h#Œ0.7_8”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ)r-varselrf-0.7_8-r40h6115d3f_1002.tar.bz2”h+Œ ac3f58a1fdc2e8926f644463d1913a48”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varselrf-0.7_8-r40h6115d3f_1002.tar.bz2”h0Œ@9a7951f1d1546e433e9b41a0e19bea6a37d5d07e18dbd4b25cfda2de93ccd3aa”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-randomforest”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬I–ëÆ¨hEJâí hFˆubh)”}”(hŒlibrdmacm-devel-cos6-x86_64”h#Œ1.0.21”h%Œha826a6f_1103”h'MOhhh(h)hŒ8librdmacm-devel-cos6-x86_64-1.0.21-ha826a6f_1103.tar.bz2”h+Œ 2f72074ca135b78e5168dd82c39dc1b5”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/librdmacm-devel-cos6-x86_64-1.0.21-ha826a6f_1103.tar.bz2”h0Œ@a50f827ac5438e1357926a46eb526f12b120520c7943652441853032633d78d7”h2NhNh3Œ%librdmacm-cos6-x86_64 ==1.0.21 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Æ1„1G®hEJƒ! hFˆubh)”}”(hŒr-rideogram”h#Œ0.2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-rideogram-0.2.2-r41hc72bb7e_1.tar.bz2”h+Œ 8a64494bb25a5cbb95524cd1bffeb2ac”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rideogram-0.2.2-r41hc72bb7e_1.tar.bz2”h0Œ@5ec0bd90249d201e5b66de0ce557315cda1103aa4a574fdc36084dc659790ea7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-grimport2”Œr-rsvg”Œr-scales”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ,_mz°!hEJ7Ÿ) hFˆubh)”}”(hŒrapidpy”h#Œ2.6.0”h%Œpy_2”h'Khhh(h)hŒrapidpy-2.6.0-py_2.tar.bz2”h+Œ 01b54844bc08e8b260e65825c45c4563”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/rapidpy-2.6.0-py_2.tar.bz2”h0Œ@00f4fdd9d8a32283d847c5cc32c21124888950ebef5b53b087c2e4a8e2cb6373”h2NhNh3(Œfuture”Œgdal”Œnetcdf4”Œnumpy”Œpandas”Œpangaea”Œpyproj”Œpython >=3.6”Œpython-dateutil”Œpytz”Œrequests”Œrtree”Œscipy”Œshapely”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA× ØaûhEJœ¬ hFˆubh)”}”(hŒ	r-dfoptim”h#Œ	2020.10_1”h%Œr36h142f84f_0”h'K hhh(h)hŒ)r-dfoptim-2020.10_1-r36h142f84f_0.tar.bz2”h+Œ 52ce88d7e077db5f52c72babc7cb8c3f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dfoptim-2020.10_1-r36h142f84f_0.tar.bz2”h0Œ@2698edb0477b77d8beabd4e95f53206a2e94fdecdba341841a87b97bf203567b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ãÊ]¶ùÛhEJm hFˆubh)”}”(hŒmne”h#Œ1.0.3”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒmne-1.0.3-hd8ed1ab_0.tar.bz2”h+Œ a5dc10bf432589ce135e1eb12fe76c5c”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/mne-1.0.3-hd8ed1ab_0.tar.bz2”h0Œ@89fecbc4be5eecdc1cc988147f69aa91ee5797a53aca4c79cd683c0a7b749f83”h2NhNh3(Œdipy”Œedflib-python”Œeeglabio”Œh5io”Œh5py”Œimageio >=2.6.1”Œimageio-ffmpeg >=0.4.1”Œ
ipyvtklink”Œ
ipywidgets”Œjoblib”Œjupyter”Œmatplotlib >=3.1.0”Œmffpy >=0.5.7”Œmne-base >=1.0.3,<1.0.4.0a0”Œmne-qt-browser”Œnibabel”Œnilearn”Œnumba”Œnumexpr”Œpandas >=0.23.4”Œpillow”Œpsutil”Œpymatreader”Œpyqt”Œpython-picard”Œpyvista >=0.32”Œpyvistaqt >=0.4”Œscikit-learn >=0.20.2”Œseaborn”Œstatsmodels”Œ	traitlets”Œvtk >=9.0.1”Œxlrd”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŸDrá7LhEJ	
 hFˆubh)”}”(hŒpciutils-devel-cos7-ppc64le”h#Œ3.5.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ7pciutils-devel-cos7-ppc64le-3.5.1-ha826a6f_1103.tar.bz2”h+Œ 2de5362923a1056a57927c6ae94acd2f”h.Œehttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-ppc64le-3.5.1-ha826a6f_1103.tar.bz2”h0Œ@fd56d0833c9a852ebbb5b57c58441aeb1ff8d0ed6d0aa835d2ee434c08d500de”h2NhNh3Œ$pciutils-cos7-ppc64le ==3.5.1 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ|AMó¶hEMwyhFˆubh)”}”(hŒgoogle-cloud-runtimeconfig”h#Œ0.33.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6google-cloud-runtimeconfig-0.33.2-pyhd8ed1ab_0.tar.bz2”h+Œ d221d0ef927e42c7b5d57909e15c6a2e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/google-cloud-runtimeconfig-0.33.2-pyhd8ed1ab_0.tar.bz2”h0Œ@7632aa15de019ece3077f630e1cd3830770d92463140deaec559a1ae6dd60571”h2NhNh3Œ#google-cloud-core >=1.3.0,<3.0.0dev”Œpython >=3.7”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ³wå“hEM³LhFˆubh)”}”(hŒorbit2-devel-cos7-aarch64”h#Œ2.14.19”h%Œha826a6f_1103”h'MOhhh(h)hŒ7orbit2-devel-cos7-aarch64-2.14.19-ha826a6f_1103.tar.bz2”h+Œ e0dae8040d2204e7ec1dcf6be22b87d8”h.Œehttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos7-aarch64-2.14.19-ha826a6f_1103.tar.bz2”h0Œ@82b9aacaaff756c3440af298dc8271c038173140184d8c67b2e96200b66ef8ea”h2NhNh3(Œ'glib2-devel-cos7-aarch64 >=2.2.0 *_1103”Œ(libidl-devel-cos7-aarch64 >=0.8.2 *_1103”Œ$orbit2-cos7-aarch64 ==2.14.19 *_1103”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Æ3mòŸ¾hEJÛ° hFˆubh)”}”(hŒ	cssselect”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒcssselect-1.1.0-py_0.tar.bz2”h+Œ c2b0104cc7d2ef771a40281a26524b87”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/cssselect-1.1.0-py_0.tar.bz2”h0Œ@12b97448525b18ed77c987d2328a34ca07358b221cf3d1cbaf85cf76b0aa08de”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hDGA×U j«×
hEMFhFˆubh)”}”(hŒzappy”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒzappy-0.2.0-py_0.tar.bz2”h+Œ 8fc2777803bb9c087e4f9f7a913a156d”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/zappy-0.2.0-py_0.tar.bz2”h0Œ@83bae27b6a7cbc051550b0e58e17459ef3db45d7ed4aa4338bba873cfc9d8eee”h2NhNh3(Œfuture”Œnumpy”Œpython”Œzarr”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×yæ.E¢hEMØYhFˆubh)”}”(hŒ
typescript”h#Œ3.6.4”h%Œ0”h'K hhh(h)hŒtypescript-3.6.4-0.tar.bz2”h+Œ a871f24a63b57afa1ddd1fe86d6ff465”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/typescript-3.6.4-0.tar.bz2”h0Œ@6eb743b4c428963b3be0c84992b4ab00b90281a488ec2125c3986f30605f970b”h2NhNh3)h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×hUÀk•hEJ/ïW hFˆubh)”}”(hŒlibxtst-devel-cos6-x86_64”h#Œ1.2.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libxtst-devel-cos6-x86_64-1.2.3-hdf0574f_1102.tar.bz2”h+Œ 3c7b7c621932ac30512bfc632e760249”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos6-x86_64-1.2.3-hdf0574f_1102.tar.bz2”h0Œ@643d8cb5156b83f55b151f3d88ce9f4f139469f22bafeacb3aa2a46a0101c215”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´è
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GPL (>= 2)”hBŒGPL3”hDGA×L€LEó¶hEM
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØŽ!+×
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junit2html”h#Œ022”h%Œpy_0”h'K hhh(h)hŒjunit2html-022-py_0.tar.bz2”h+Œ f091750981a03411684a9679ae887299”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/junit2html-022-py_0.tar.bz2”h0Œ@5ab7a8612969d99caada25fce1a32ed9ea322b1001e7636825a0dddb4db5624e”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×IØw¥ÂhEMr8hFˆubh)”}”(hŒ	blaupause”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$blaupause-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 62396141ce64be3bb8875cea1af51496”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/blaupause-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@265f652ef4593880700baa77eb2e4568a0173d91ea6792e47276f97173712cb6”h2NhNh3Œpytest”Œpython >=3.8”Œ
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Apache-2.0”hBŒAPACHE”hDGAØœ—Ù,¬hEM¸ahFˆubh)”}”(hŒthreeml”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"threeml-2.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3269e7334be5182a10f4ab4c67e95907”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/threeml-2.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b52362941adf650ff0766e5d9070b3067606ce7221e6425b2674d9306925448c”h2NhNh3(Œ	asciitree”Œastromodels”Œastropy >=1.3.3”Œ
astroquery”Œcolorama”Œcorner”Œdill”Œdynesty”Œ	emcee >=3”Œiminuit >=2.0”Œipyparallel”Œipython”Œ
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r-jsonlite”Œr-shiny >=1.1.0”Œr-tibble >=1.4.2”t”h9hºh@Œ
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r-textstem”h#Œ0.1.4”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-textstem-0.1.4-r40hc72bb7e_1.tar.bz2”h+Œ ce9594ff5ebb1fac3a9481b144411a4f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-textstem-0.1.4-r40hc72bb7e_1.tar.bz2”h0Œ@c0542f6742ab4ac8f84ed058c4fcaf19dadb13db4b0dfb91706402cd7e7b4a7a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ
r-hunspell”Œr-korpus”Œr-korpus.lang.en”Œr-lexicon >=0.4.1”Œr-quanteda >=0.99.12”Œr-snowballc”Œ	r-stringi”Œr-textclean”Œr-textshape”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+À[Ô›¦hEJH/ hFˆubh)”}”(hŒr-highcharter”h#Œ0.9.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-highcharter-0.9.4-r42hc72bb7e_1.tar.bz2”h+Œ 034591299e6d3cd8289ae7a4727aa9c6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-highcharter-0.9.4-r42hc72bb7e_1.tar.bz2”h0Œ@62680bd10256f8f1e4d9d1b12254bb1338134c7e7e3ccc11594a4877e7173e03”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr >=0.7.0”Œr-htmltools”Œr-htmlwidgets”Œr-igraph”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œ
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python >=3”Œ
setuptools”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ
 6Œ“hEM ¦hFˆubh)”}”(hŒ
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Apache-2.0”hBŒApache”hDGAØ=—ñ!ûçhEM†€hFˆubh)”}”(hŒlibxt-cos7-ppc64le”h#Œ1.1.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libxt-cos7-ppc64le-1.1.5-h9d98e8f_1104.tar.bz2”h+Œ c2b72c3b78f1d01be4cf191b794d93ea”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxt-cos7-ppc64le-1.1.5-h9d98e8f_1104.tar.bz2”h0Œ@2ab592023808d80e8444b4a4d88ab78475c74ce4611246992c5881842390e03e”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É:ðÔþhEJ}× hFˆubh)”}”(hŒr-alphahull”h#Œ2.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-alphahull-2.5-r41hc72bb7e_1.tar.bz2”h+Œ 7e4ffeb698e7349213281feec65a4b1e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-alphahull-2.5-r41hc72bb7e_1.tar.bz2”h0Œ@ff03764e59d48fdb405ecc2de1db151baa0ee62a46b6b3b621faa5fffb4b0897”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-interp”Œ	r-r.utils”Œ
r-sgeostat”Œr-spatstat.geom”Œr-spatstat.random”Œ	r-splancs”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒª@7LhEJü°	 hFˆubh)”}”(hŒ	r-propcis”h#Œ0.3_0”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ)r-propcis-0.3_0-r351h6115d3f_1001.tar.bz2”h+Œ 93256ece4590c7aa19356f6998662163”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-propcis-0.3_0-r351h6115d3f_1001.tar.bz2”h0Œ@9e75c14d72f40464ee806f387bf5e4e7abde7be75a2400aa2e53f1f73ef3950a”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAÖû«¬ºñªhEJË§ hFˆubh)”}”(hŒ	r-rematch”h#Œ1.0.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-rematch-1.0.1-r41hc72bb7e_1003.tar.bz2”h+Œ 3b357cfb29bca432d0dfce4b9add9bc6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rematch-1.0.1-r41hc72bb7e_1003.tar.bz2”h0Œ@84c644c055f1737d6eb1a3b24c5155df65edf124ab2a6b66ab863d034625a19a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ*Ôn=`BhEMþLhFˆubh)”}”(hŒ	hydrodata”h#Œ0.9.4”h%Œpyh44b312d_0”h'K hhh(h)hŒ$hydrodata-0.9.4-pyh44b312d_0.tar.bz2”h+Œ b76c6c3335045dbad20ab6481ea613e6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/hydrodata-0.9.4-pyh44b312d_0.tar.bz2”h0Œ@c9b1e31c5421e5acac0e9244938a9ff411d3aefeb76c582e1354d63456cae713”h2NhNh3(Œpy3dep”Œpydaymet”Œ
pygeohydro”Œpygeoogc”Œ
pygeoutils”Œpynhd”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ	bŸ¾hEM€hFˆubh)”}”(hŒr-ggally”h#Œ2.1.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-ggally-2.1.2-r40hc72bb7e_0.tar.bz2”h+Œ ae3e25fcbe9decbd661ce0d8482973d4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggally-2.1.2-r40hc72bb7e_0.tar.bz2”h0Œ@7806548627131fcdb5055a85193d80974351b3d9c3cf609d6f6197525c80c782”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=1.0.0”Œ	r-forcats”Œr-ggplot2 >=3.3.0”Œr-gtable >=0.2.0”Œr-lifecycle”Œr-plyr >=1.8.3”Œ
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pymetalink”h#Œ6.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pymetalink-6.4-pyhd8ed1ab_0.tar.bz2”h+Œ 3cdc40c83c6e45eea3416e21c1628fbf”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pymetalink-6.4-pyhd8ed1ab_0.tar.bz2”h0Œ@fabeab2e58b0be23d8d017cc1e6846eba0a719b6beb358385d5b8fd7536143b6”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØc¥›Û¶FhEM®¡hFˆubh)”}”(hŒ
r-conicfit”h#Œ1.0.4”h%Œr35_1001”h'Méhhh(h)hŒ!r-conicfit-1.0.4-r35_1001.tar.bz2”h+Œ 95e2a89e656352a6155b7f8996a44f18”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-conicfit-1.0.4-r35_1001.tar.bz2”h0Œ@bab6031b1b841b9fc18f230e75ea1aa7f7e0598f141c11091475ebce93d82922”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-geigen”Œr-pracma”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×M$N?ÎÙhEJË˜ hFˆubh)”}”(hŒlibidl-cos7-aarch64”h#Œ0.8.14”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0libidl-cos7-aarch64-0.8.14-hdf0574f_1102.tar.bz2”h+Œ 74194ccddc0461093e8119f0fd09fafd”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libidl-cos7-aarch64-0.8.14-hdf0574f_1102.tar.bz2”h0Œ@9deeee759a687eb34992a2072ed87367f50c227580aad66266aa0a336126ccb4”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi¬Ç+hEJ´s hFˆubh)”}”(hŒcentos-release-cos7-aarch64”h#Œ7”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3centos-release-cos7-aarch64-7-h9d98e8f_1104.tar.bz2”h+Œ 8534f72f287e782193e6adcbcaedcd17”h.Œahttps://conda.anaconda.org/conda-forge/noarch/centos-release-cos7-aarch64-7-h9d98e8f_1104.tar.bz2”h0Œ@c0464968496506d13ffc79cf9460737a23077ea93350caf7b3789d52adab76e6”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Ø™XÙÛ#hEMehFˆubh)”}”(hŒlibdrm-cos7-x86_64”h#Œ2.4.97”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libdrm-cos7-x86_64-2.4.97-ha826a6f_1103.tar.bz2”h+Œ 12843c2b22372a3ae9bbc22b0a9ce649”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-x86_64-2.4.97-ha826a6f_1103.tar.bz2”h0Œ@8a0b668e836e117f0b07a1129b77a33f48c86a487e7b1387394a1126da082d4f”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/i ƒhEJEt hFˆubh)”}”(hŒ
r-barcoder”h#Œ0.1.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-barcoder-0.1.7-r40hc72bb7e_0.tar.bz2”h+Œ fa129c0322f6684e245ce7607b56f5d8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-barcoder-0.1.7-r40hc72bb7e_0.tar.bz2”h0Œ@a3afa988c485557945531b3b60f708739640aae203ce65721529b5df986d95c8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-dt >=0.3”Œr-miniui >=0.1.1”Œr-qrcode”Œr-rstudioapi”Œr-shiny >=0.13”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ‘ÉSš\hEJ5§ hFˆubh)”}”(hŒ	r-zeallot”h#Œ0.1.0”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ(r-zeallot-0.1.0-r40hc72bb7e_1002.tar.bz2”h+Œ e0926d049491d6dc8e934d2e39ce157c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-zeallot-0.1.0-r40hc72bb7e_1002.tar.bz2”h0Œ@1431a7035bc17fa3b262544ff8b818b89ba77aa89350ef07a837680c14f752c1”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ*Ó¦˜´9hEM~ùhFˆubh)”}”(hŒnss-util-cos7-ppc64le”h#Œ3.44.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ1nss-util-cos7-ppc64le-3.44.0-h9d98e8f_104.tar.bz2”h+Œ 70c07d201fe4e6381e7ac84e76f0118d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-ppc64le-3.44.0-h9d98e8f_104.tar.bz2”h0Œ@2fc70d5136203112958be1f003de0648a457d75725db0048a7ec17dc8413548a”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÉzÅÍ`BhEJc hFˆubh)”}”(hŒjavapackages-tools-cos7-ppc64le”h#Œ3.4.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ:javapackages-tools-cos7-ppc64le-3.4.1-h9d98e8f_104.tar.bz2”h+Œ 1c8faaa74d7123f9a8e257a35aa5359a”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-ppc64le-3.4.1-h9d98e8f_104.tar.bz2”h0Œ@a570912a352abac5943753b49f3d697c689d6baa013ed8108e455c3b9920c8fe”h2NhNh3Œ.python-javapackages-cos7-ppc64le ==3.4.1 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉzõyÊÁhEM•ÜhFˆubh)”}”(hŒ	r-mockery”h#Œ0.4.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-mockery-0.4.3-r40hc72bb7e_0.tar.bz2”h+Œ 1f63d9c14e57ab305e73266c52164523”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mockery-0.4.3-r40hc72bb7e_0.tar.bz2”h0Œ@94679c98804f231b01016622b96298278f56185c330e287167673efef2a4791e”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-testthat”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ„–(»¶FhEMÔÂhFˆub•       h)”}”(hŒr-matrixeqtl”h#Œ2.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-matrixeqtl-2.3-r40hc72bb7e_1.tar.bz2”h+Œ c5ea488e6a108b15f045b9f7d37779ef”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-matrixeqtl-2.3-r40hc72bb7e_1.tar.bz2”h0Œ@76afeabc252c50bea704b910d62c6c49ee8a0a94cecccd77ea2246e2696a01ff”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGAØ+"¯Ù%hEJ5 hFˆubh)”}”(hŒ	r-ngramrr”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-ngramrr-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 21099678c429f3bec60d7bb9c886529e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ngramrr-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@a367453465a9116450f1bebd42b9f1016c6ad4d258b4ea69a4fd3acb8cdfd647”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-tau”Œr-tm”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ”Æƒ×
hEMGthFˆubh)”}”(hŒr-shiny.semantic”h#Œ0.4.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-shiny.semantic-0.4.3-r42hc72bb7e_1.tar.bz2”h+Œ cb64a5980055fe17b36582d6d8fe85ef”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shiny.semantic-0.4.3-r42hc72bb7e_1.tar.bz2”h0Œ@64bf964680c38f5395f8c458841aaf5a51072bf983a4cc5d67adaadb93006ad5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.2.6”Œr-htmlwidgets >=0.8”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr >=0.2.2”Œr-shiny >=0.12.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑLYªñªhEJ©RO hFˆubh)”}”(hŒ
r-histdata”h#Œ0.8_7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-histdata-0.8_7-r40hc72bb7e_0.tar.bz2”h+Œ a3cf969fc95986231a7be99bb3eb7176”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-histdata-0.8_7-r40hc72bb7e_0.tar.bz2”h0Œ@b4555a2a2905a4cbde50524cdaf4e98fc195d6729121eef26aee1035a33e7f9a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ_¼O²hEJ%  hFˆubh)”}”(hŒr-ggdark”h#Œ0.2.1”h%Œr40h6115d3f_0”h'K hhh(h)hŒ$r-ggdark-0.2.1-r40h6115d3f_0.tar.bz2”h+Œ f48c3c98654a0fa7964b1c88686412bc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggdark-0.2.1-r40h6115d3f_0.tar.bz2”h0Œ@6dfe3c8b9836501690c3277f6225b86efc215e5c0a819443f0d7fd8faaa89cb8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=3.0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Ö-z]ÒòhEJš hFˆubh)”}”(hŒ	r-nbclust”h#Œ3.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-nbclust-3.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 84a70bc1ed3e58e7a6560a0e7dd99355”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-nbclust-3.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@410e5ad2542169fb2a7be50d1928aa9da91e613f9755084f2d13909ac5a18313”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐÛ9&éhEJ™ hFˆubh)”}”(hŒcups-libs-cos7-aarch64”h#Œ1.6.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ1cups-libs-cos7-aarch64-1.6.3-h9d98e8f_104.tar.bz2”h+Œ 69225988873e5bfefb3621f162b8f211”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos7-aarch64-1.6.3-h9d98e8f_104.tar.bz2”h0Œ@a16e47bf055a17e64ad7acc8addb80fc648768998ec9e55c38b2f2cb7b857be1”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2 and zlib”hBŒLGPL”hDGA×ÉxÝ·PhEJ&Å hFˆubh)”}”(hŒr-bradleyterry2”h#Œ1.1_2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-bradleyterry2-1.1_2-r36h6115d3f_1.tar.bz2”h+Œ 10f13ede35c5bd86788df55190d85de3”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-bradleyterry2-1.1_2-r36h6115d3f_1.tar.bz2”h0Œ@e4de3e157f4b2d5e883c0780eb420872e41cebc495b7cb79babc9f76f7f5f0a7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-brglm”Œr-gtools”Œr-lme4 >=1.0”Œr-qvcalc”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬þ§Æ—hEJ¢Z	 hFˆubh)”}”(hŒbump2version”h#Œ1.0.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'bump2version-1.0.1-pyh9f0ad1d_0.tar.bz2”h+Œ 1b3fd56f54baa99e3c9967caf279f66f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/bump2version-1.0.1-pyh9f0ad1d_0.tar.bz2”h0Œ@c3cf2e47b0aee001025ad29061222b552a60362ec9febd355c5eb4d3a06beef8”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ßº>Š-hEMgXhFˆubh)”}”(hŒr-yesno”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-yesno-0.1.2-r41hc72bb7e_0.tar.bz2”h+Œ ede3b97d8387af3bb908d334471c7ffb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-yesno-0.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@a2389d475264cb670d877aca5f646478e118ffab4b97b4a03f3be76ac7e284fa”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+­P ÅhEMÐehFˆubh)”}”(hŒ
r-editdata”h#Œ0.1.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-editdata-0.1.8-r41hc72bb7e_0.tar.bz2”h+Œ 7ec481f0e7bc56c348bc6cff341257f9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-editdata-0.1.8-r41hc72bb7e_0.tar.bz2”h0Œ@53d9c4fdcc0632d7ee59cb6b0a185ab58547e71e8abc42758ee2c5f9fe3a334d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-dt >=0.17”Œ
r-magrittr”Œr-miniui >=0.1.1”Œ
r-openxlsx”Œr-rio”Œr-rstudioapi >=0.5”Œr-shiny >=0.13”Œr-shinywidgets”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØGÑ.ŽVhEJÔà" hFˆubh)”}”(hŒ
limix-plot”h#Œ0.1.2”h%Œpy_0”h'K hhh(h)hŒlimix-plot-0.1.2-py_0.tar.bz2”h+Œ c5c943a3bfa1a27d436910291450db07”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/limix-plot-0.1.2-py_0.tar.bz2”h0Œ@49af269459834f3b471cfd7be8739eff18b7e2faee993f812de12a0f1e249ff7”h2NhNh3(Œadjusttext >=0.7.3”Œmatplotlib >=3.0.3”Œnumpy >=1.16.2”Œpandas >=0.24.2”Œpillow >=6.0.0”Œpytest >=4.4.1”Œ	python >3”Œscikit-learn >=0.20.3”Œscipy >=1.2.1”Œxarray >=0.12.1”t”h9h?h@ŒMIT”hBŒMIT”hDGA×/ÐÝ_;dhEM*<hFˆubh)”}”(hŒ	yaqc-qtpy”h#Œ2022.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'yaqc-qtpy-2022.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 41f3251a80fe43341058a3312657fd82”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/yaqc-qtpy-2022.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@337a0eeaaf721d3be966a793ed54fd87451af00a887b739ceb5d7becf6f550ac”h2NhNh3(Œappdirs”Œclick”Œentrypoints”Œnumpy”Œ	pyqtgraph”Œpyside2”Œpython >=3.7”Œ	qtconsole”Œqtpy”Œqtypes >=2022.6.0”Œ
yaq-traits”Œyaqc”Œyaqd-control”Œ	yaqd-core”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ«%aÎÙhEJfÌ hFˆubh)”}”(hŒnaaf”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒnaaf-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ b051395076f0bd90d5387d9c22fb2556”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/naaf-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@08c52c45ce5073097df2f7c85f75232ee4013d013ed9e89d9cdfd84d3764c805”h2NhNh3(Œclick”Œ	cryotypes”Œ	dask-core”Œdynamotable >=0.2.4”Œemfile >=0.3”Œipython”Œmrcfile >=1.3.0”Œnumpy”Œpandas”Œpydantic”Œpython >=3.8”Œscipy”Œstarfile >=0.4.5”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÖ)[ÞhEMp…hFˆubh)”}”(hŒnumactl-cos7-x86_64”h#Œ2.0.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0numactl-cos7-x86_64-2.0.12-h9b0a68f_1105.tar.bz2”h+Œ b5947016688738e661661cccfb691287”h.Œ^https://conda.anaconda.org/conda-forge/noarch/numactl-cos7-x86_64-2.0.12-h9b0a68f_1105.tar.bz2”h0Œ@55651a43f9d9ea51fc6ee89ecebde245e3dd31d42d12f509a89c2cce4ec8bea8”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@hž=ãThEJÿ? hFˆubh)”}”(hŒr-platetools”h#Œ0.1.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-platetools-0.1.5-r40hc72bb7e_0.tar.bz2”h+Œ f545e191f16e892eaf231f4afd2da841”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-platetools-0.1.5-r40hc72bb7e_0.tar.bz2”h0Œ@6f89b1d9042aff92a8a969e99fd344b2554827a3df0a7dc7222187deff3bafb3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=2.2.0”Œr-rcolorbrewer”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ.5Ã™šhEJ·f hFˆubh)”}”(hŒr-jsonvalidate”h#Œ1.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-jsonvalidate-1.3.2-r42hc72bb7e_1.tar.bz2”h+Œ 4e3eee9968ed14a0e103e44dba0af897”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-jsonvalidate-1.3.2-r42hc72bb7e_1.tar.bz2”h0Œ@e8841ae98664e824461b46a61afd8865582ff0d568c145f34cea6f68e9d74be6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-v8”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ$Ô8“uhEJ3ñ hFˆubh)”}”(hŒvoila”h#Œ0.3.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ voila-0.3.6-pyhd8ed1ab_0.tar.bz2”h+Œ 01376cb6475bc93a055bf4fb28552581”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/voila-0.3.6-pyhd8ed1ab_0.tar.bz2”h0Œ@6b5b6305ca61d9ea7c11ca2e4483472049ee0da7c4aa345f4ba0e6e6da0dea9e”h2NhNh3(Œjupyter_client >=6.1.3,<8”Œjupyter_core >=4.11.0”Œjupyter_server >=1.18,<2”Œjupyterlab_server >=2.3.0,<3”Œnbclient >=0.4.0,<0.6”Œnbconvert >=6.4.5,<7”Œpython >=3.7”Œtraitlets >=5.0.3,<6”Œwebsockets >=9”t”h6Œipywidgets <8”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØµ{àõÃhEJdí hFˆubh)”}”(hŒr-paireddata”h#Œ1.1.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ(r-paireddata-1.1.1-r35h6115d3f_0.tar.bz2”h+Œ 290fece2ae67907387b5c833731843c9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paireddata-1.1.1-r35h6115d3f_0.tar.bz2”h0Œ@c050329df46e62e0af70651bac171b05e031baf4779f8ce545ce15d0c7d0a6de”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-gld”Œ	r-lattice”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×®±¢C¥ãhEJææ hFˆubh)”}”(hŒpython3-openid”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)python3-openid-3.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4bed2c2a67fa9ebac662fed6bfaf1ad0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python3-openid-3.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b33c1bb030d1a9368f38aa8f9060d4213b6b6dc506ab5d84bf034271b6299d08”h2NhNh3Œ
defusedxml”Œpython >=3.4”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ	‹‰XhEJ„ hFˆubh)”}”(hŒlogfmt”h#Œ0.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒlogfmt-0.4-pyh9f0ad1d_0.tar.bz2”h+Œ 3c7c232551420db659b86d29d51ece16”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/logfmt-0.4-pyh9f0ad1d_0.tar.bz2”h0Œ@a60dd31ef6484a5a23ea97716766ac69881fd5b0ba4e98e5e8cde03a342406cd”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×µ¥üzáhEM˜hFˆubh)”}”(hŒpciutils-cos7-ppc64le”h#Œ3.5.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0pciutils-cos7-ppc64le-3.5.1-h9b0a68f_105.tar.bz2”h+Œ 8a6ae70b32646e69e95fde18e8b55c14”h.Œ^https://conda.anaconda.org/conda-forge/noarch/pciutils-cos7-ppc64le-3.5.1-h9b0a68f_105.tar.bz2”h0Œ@2dbbd5eb77b318ca6169a9d86a2868296dab9d306c7173ceb006f2807323249f”h2NhNh3Œ(pciutils-libs-cos7-ppc64le ==3.5.1 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@‰¬¬hEJÄh hFˆubh)”}”(hŒlibidl-devel-cos7-aarch64”h#Œ0.8.14”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libidl-devel-cos7-aarch64-0.8.14-ha826a6f_1103.tar.bz2”h+Œ 4910946224be986792a80db6089ae7c9”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-aarch64-0.8.14-ha826a6f_1103.tar.bz2”h0Œ@d534e5b22864342b45dc87b9c28157fe4464d6d0eb8b50e407e8dbadc35ec859”h2NhNh3(Œ%glib2-devel-cos7-aarch64 >=2.0 *_1103”Œ#libidl-cos7-aarch64 ==0.8.14 *_1103”Œ#pkgconfig-cos7-aarch64 >=0.8 *_1103”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2kshEMÞihFˆubh)”}”(hŒukcensusapi”h#Œ1.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ukcensusapi-1.1.6-pyhd8ed1ab_0.tar.bz2”h+Œ f0eed205a2618ad016a297fe0b6992d5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ukcensusapi-1.1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@2f5b9037ee5b796d878528de368b455ce1cb49ad5296b17fe739dd2654a5e89b”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÆ‰ØƒhEM´ghFˆubh)”}”(hŒr-postlogic”h#Œ0.1.0.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-postlogic-0.1.0.1-r40h6115d3f_1.tar.bz2”h+Œ 0a8acda8b1af4b26ff2c9ab2bdb907d3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-postlogic-0.1.0.1-r40h6115d3f_1.tar.bz2”h0Œ@e1c55740b94cb307b53c332aafcbe0a8dfecf24aee29b23d65c9e27c35524768”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯6÷+t¼hEM˜chFˆubh)”}”(hŒdask-ctl”h#Œ2022.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&dask-ctl-2022.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 739379fca42c5e88a836f85bbd36c4f8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/dask-ctl-2022.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@18f307b83661ecb9f4639efdb9dcbce4539ed67ecf65cd906ab5c80299dc2623”h2NhNh3(Œclick”Œdask”Œdistributed”Œpython >=3.7”Œrich”Œtornado”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØžäñ¬hEM<hFˆubh)”}”(hŒr-clickr”h#Œ0.8.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-clickr-0.8.3-r42hc72bb7e_1.tar.bz2”h+Œ 3daa0918464bafd8a458cb3e992fabcd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-clickr-0.8.3-r42hc72bb7e_1.tar.bz2”h0Œ@4c00ab517c7a92eca0a844f5be9f622e29df5b93baad552498098ee22d0a1598”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-beeswarm”Œr-boot”Œr-flextable”Œr-lme4”Œ
r-lmertest”Œ	r-officer”Œr-stringdist”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓ?þ5?hEJÓ hFˆubh)”}”(hŒ	r-decoder”h#Œ1.2.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-decoder-1.2.2-r40hc72bb7e_1.tar.bz2”h+Œ 3df6bf6ab41c930218f8ba481e15772e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-decoder-1.2.2-r40hc72bb7e_1.tar.bz2”h0Œ@210f0205bd3ef4d2fe302a5ec2cb3cc6227b8064d1223ea9415c27a60eb26e85”h2NhNh3Œr-backports”Œr-base >=4.0,<4.1.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+•AhshEJîº hFˆubh)”}”(hŒlibx11-common-cos6-x86_64”h#Œ1.6.4”h%Œh1795305_1101”h'MMhhh(h)hŒ5libx11-common-cos6-x86_64-1.6.4-h1795305_1101.tar.bz2”h+Œ 86218e339f0b852736d2ce0a058d95b9”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos6-x86_64-1.6.4-h1795305_1101.tar.bz2”h0Œ@bc5ba1faa2ebcef52bad2ed455779026c1bfbf3e8d1ad2d0793bb12274220bc4”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅC%ó¶hEJeG hFˆubh)”}”(hŒ	rb-jekyll”h#Œ4.0.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ"rb-jekyll-4.0.0-hc42de5b_0.tar.bz2”h+Œ f2c9ae073d73f8075c81e21586085775”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-4.0.0-hc42de5b_0.tar.bz2”h0Œ@a0f2c42c122e242178c6cd0e2f41d4dcb1979962186ca931f89ddd348bf5b16a”h2NhNh3(Œrb-addressable >=2.4,<3”Œrb-colorator >=1.0,<2”Œrb-em-websocket >=0.5,<1”Œrb-i18n >=0.9.5,<2”Œ!rb-jekyll-sass-converter >=2.0,<3”Œrb-jekyll-watch >=2,<3”Œrb-kramdown >=2.1,<3”Œrb-kramdown-parser-gfm >=1.0,<2”Œrb-liquid >=4.0,<5”Œrb-mercenary >=0.3.3,<0.4”Œrb-pathutil >=0.9,<1”Œrb-rouge >=3.0,<4”Œrb-safe_yaml >=1.0,<2”Œrb-terminal-table >=1.8,<2”Œruby >=2.6.3,<2.7.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Zs©e²-hEJOŽ hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGA×Lœ<“hEMz³hFˆubh)”}”(hŒcoordinatesconverter”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/coordinatesconverter-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ e54c74ba38566251aee0f18386f864c9”h.Œ]https://conda.anaconda.org/conda-forge/noarch/coordinatesconverter-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@6377eb086e0a6ff8f152249d7074bf4d1ae13f91f17475461e0c7b8a90db8a0a”h2NhNh3Œnumpy”Œpython >=3.6”Œshapely”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~_¸RhEMg$hFˆubh)”}”(hŒ
r-editdata”h#Œ0.1.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-editdata-0.1.8-r41hc72bb7e_1.tar.bz2”h+Œ 8b4631e2af648c4dedaa3cdbfec004da”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-editdata-0.1.8-r41hc72bb7e_1.tar.bz2”h0Œ@bcc2a93767fa938d407dfa90bc6ecd90252b696052bdada97eedd64bb1cc22fd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-dt >=0.17”Œ
r-magrittr”Œr-miniui >=0.1.1”Œ
r-openxlsx”Œr-rio”Œr-rstudioapi >=0.5”Œr-shiny >=0.13”Œr-shinywidgets”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¸`BhEJp" hFˆubh)”}”(hŒbooleanoperations”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,booleanoperations-0.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ cd8e8de71277d58b0a5351f21babbfa7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/booleanoperations-0.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1522813ce3ac66fd872463e0dc76658cfb85810242eb80e4c8da72f2c0876e64”h2NhNh3Œfonttools >=4.0.2”Œpyclipper >=1.1.0.post1”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ¼Å²‰xÕhEMiPhFˆubh)”}”(hŒr-ez”h#Œ4.4_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ r-ez-4.4_0-r41hc72bb7e_1.tar.bz2”h+Œ 8f2bc2a1dd96d6d97852e206378087ca”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ez-4.4_0-r41hc72bb7e_1.tar.bz2”h0Œ@cfca7ae0a82504865fb2ecb1d2fd4b42274be54aa19d7ffda64bd5d7ea2374a8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car >=2.1_3”Œr-ggplot2 >=2.1.0”Œr-lme4 >=1.1_12”Œr-mass >=7.3_45”Œr-matrix >=1.2_7.1”Œr-mgcv >=1.8_12”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”Œr-scales >=0.4.0”Œr-stringr >=1.1.0”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,®®hEJÂe hFˆubh)”}”(hŒ
pyls-black”h#Œ0.4.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%pyls-black-0.4.6-pyh9f0ad1d_0.tar.bz2”h+Œ 5200d4f0440b3f8f0221bd4b4d8ca738”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyls-black-0.4.6-pyh9f0ad1d_0.tar.bz2”h0Œ@b43e28a6b9f418dc6b413a27c644306cc34db7589d5fc0ea9d5fc113d40ff4f0”h2NhNh3(Œblack”Œpython”Œpython-language-server”Œtoml”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÆÊ s"ÑhEMhFˆubh)”}”(hŒnspr-cos7-ppc64le”h#Œ4.21.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.nspr-cos7-ppc64le-4.21.0-h9b0a68f_1105.tar.bz2”h+Œ 4ebbdb65c2161abf2c7632408eb77384”h.Œ\https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-ppc64le-4.21.0-h9b0a68f_1105.tar.bz2”h0Œ@30824f9108edf83c11eef33ab44f4aaa9b2b67b5f6e3784a9874ecd498ba3c08”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@Š/¾whEJÔ: hFˆubh)”}”(hŒr-exact”h#Œ3.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-exact-3.2-r40hc72bb7e_0.tar.bz2”h+Œ a90047241383d0a734b7c9a99f873a6c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-exact-3.2-r40hc72bb7e_0.tar.bz2”h0Œ@78dd0a64088579c28ac2bfd04c47311403aad7f07f67ae3740a18903452ae886”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rootsolve”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÌHäk¥ãhEJÊV hFˆubh)”}”(hŒsupportdata”h#Œ0.1.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&supportdata-0.1.3-pyh9f0ad1d_0.tar.bz2”h+Œ 772910e7ad7930dc173aa037cdc6b0eb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/supportdata-0.1.3-pyh9f0ad1d_0.tar.bz2”h0Œ@c032a6d7d1dd645746f0f227fd18a048d420c1e3124247acc936133439fae9f8”h2NhNh3Œfilelock >=2.0”Œpython”Œsix >=1.5.2”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ËoËÂhEM¹ hFˆubh)”}”(hŒfnc”h#Œ0.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒfnc-0.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ 80688c1dd7bef15e90c620a5e8283b7a”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/fnc-0.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@a90cee9503e149d336fb682d1bcb0cf03249bbeb4cff2c7fd21391a914749b42”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØsZ^ŒÝ/hEM?WhFˆubh)”}”(hŒr-zcompositions”h#Œ1.4.0_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ-r-zcompositions-1.4.0_1-r41hc72bb7e_1.tar.bz2”h+Œ b01cc5d2e3a057a4c479bc9953b606e6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-zcompositions-1.4.0_1-r41hc72bb7e_1.tar.bz2”h0Œ@6a41747977e609efc3df9a57cce7d00a6f6b662983304e313fb28ff64ba5e169”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-nada”Œr-truncnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ†’«…hEJææ hFˆubh)”}”(hŒr-dichromat”h#Œ2.0_0.1”h%Œr41ha770c72_0”h'K hhh(h)hŒ)r-dichromat-2.0_0.1-r41ha770c72_0.tar.bz2”h+Œ 5af40d7f0dbf943987d6dde56fed35d4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dichromat-2.0_0.1-r41ha770c72_0.tar.bz2”h0Œ@ceca44cef0dfff6e5c59952c85e10e4ad8d2a2735e95f9ae3cff774a3e2ac30d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØœ‡íãThEJW hFˆubh)”}”(hŒopenfisca-core”h#Œ35.9.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ*openfisca-core-35.9.0-pyh1a96a4e_0.tar.bz2”h+Œ e42b68619de7237ad5ef817e67c111ea”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/openfisca-core-35.9.0-pyh1a96a4e_0.tar.bz2”h0Œ@2066506e7092b8a4b6ab65f48ba0cddbc2dc424d4066d1c91fb2d33f9b6c6556”h2NhNh3(Œdpath >=1.5.0,<3.0.0”Œnptyping 1.4.4”Œnumexpr >=2.7.0,<=3.0”Œnumpy >=1.11,<1.21”Œpsutil >=5.4.7,<6.0.0”Œpytest >=4.4.1,<6.0.0”Œpython >=3.6,<4.0”Œpyyaml >=3.10”Œsortedcontainers 2.2.2”Œtyping-extensions 3.10.0.2”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØÃWÖ$ÝhEJ18 hFˆubh)”}”(hŒr-datacomparer”h#Œ0.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-datacomparer-0.1.4-r42hc72bb7e_1.tar.bz2”h+Œ c9e035d041b9dcbe016fd1e0a7ac45ac”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-datacomparer-0.1.4-r42hc72bb7e_1.tar.bz2”h0Œ@5ab339dad328ed9684d9d45499140b3cdc02379b4a073266fc129149a4544cac”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.5.0”Œr-knitr”Œ
r-markdown”Œ	r-stringi”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÒ’é•VhEJBà hFˆubh)”}”(hŒlibxshmfence-cos7-x86_64”h#Œ1.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libxshmfence-cos7-x86_64-1.2-h9b0a68f_1105.tar.bz2”h+Œ 46e1777dbcdaa4b23690150ed727dfe2”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-x86_64-1.2-h9b0a68f_1105.tar.bz2”h0Œ@a03e6893b29b163582dcd73bc203e9248eeb57c7d5b4dc40e4a1ea3b7b43af76”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@h™µ/hEMï"hFˆubh)”}”(hŒlibdrm-cos7-aarch64”h#Œ2.4.97”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libdrm-cos7-aarch64-2.4.97-ha826a6f_1103.tar.bz2”h+Œ fdb14114935f3034f9eb02d8892f8d35”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-aarch64-2.4.97-ha826a6f_1103.tar.bz2”h0Œ@43e409742465794c97e61292d387076143fc88babc93a670c2d6c49300c69b4f”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/þnùÛhEJ« hFˆubh)”}”(hŒammolite”h#Œ0.8.0”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ#ammolite-0.8.0-pyhd8ed1ab_2.tar.bz2”h+Œ f1d6124b478054bd64f8b8e54efc2b3f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ammolite-0.8.0-pyhd8ed1ab_2.tar.bz2”h0Œ@86d73920dc4f876b46ae35fa97c9bb8fb864bfbd719771807690f9f442f638ac”h2NhNh3Œbiotite >=0.22”Œpymol-open-source”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ²×]p¤hEM*MhFˆubh)”}”(hŒlibsepol-cos7-aarch64”h#Œ2.5”h%Œh1795305_1101”h'MMhhh(h)hŒ/libsepol-cos7-aarch64-2.5-h1795305_1101.tar.bz2”h+Œ eb9b057dc3258e394eaa92efeb594dba”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-aarch64-2.5-h1795305_1101.tar.bz2”h0Œ@474a7f3612e3796a953d8a87c22d39d45f96a169d81cd50f8fa1d34c8a99760e”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å&’ÐåhEJŽO hFˆubh)”}”(hŒperl-file-homedir”h#Œ1.004”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ0perl-file-homedir-1.004-pl5321hd8ed1ab_0.tar.bz2”h+Œ 1f4307e2817fb06be70fe981a81a83a0”h.Œ^https://conda.anaconda.org/conda-forge/noarch/perl-file-homedir-1.004-pl5321hd8ed1ab_0.tar.bz2”h0Œ@edc2d6c4b915b9582449ff429cba3e2f6998b46b95547abbb32912ba96059473”h2NhNh3(Œperl >=5.32.1,<6.0a0 *_perl5”Œ	perl-carp”Œperl-file-path”Œperl-file-temp”Œperl-file-which”t”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØc‰2þ{hEM×phFˆubh)”}”(hŒintake-geopandas”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+intake-geopandas-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5d6429a927d1ef3c0d26d81f5d7b31f0”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/intake-geopandas-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7fd5b9cfec19d20364248202f9960553eab156bd4aab57c48eaa3e7dc1b345d9”h2NhNh3Œ	geopandas”Œintake”Œpython >=3.6”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØj·¨ð£×hEM¦4hFˆubh)”}”(hŒr-daff”h#Œ0.3.5”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-daff-0.3.5-r41hc72bb7e_2.tar.bz2”h+Œ efad12ef77306da594719e76fec38af1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-daff-0.3.5-r41hc72bb7e_2.tar.bz2”h0Œ@b4c4aacb5f085985ebeead6060836f0850b53edf40d7aa1346dd0f44b9aa6b27”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+,(š=qhEJ‰_ hFˆubh)”}”(hŒr-genalg”h#Œ0.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-genalg-0.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 38cf75aeb2ec6d467e3a52f2d41fb3dd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-genalg-0.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@4333dd8812040b0daec233e092958ab859ba0dbe89590741fb4abea901e0302b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ°URñªhEMÀÔhFˆubh)”}”(hŒscrape-search-engine”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/scrape-search-engine-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ f3be9b45cd81096d7a0bf988bb97b417”h.Œ]https://conda.anaconda.org/conda-forge/noarch/scrape-search-engine-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@b40c788ccff40d3ba4d3e00980b1ba6386836ab80e806af91f0b3b501fa161ee”h2NhNh3Œbs4”Œpython >=3.6”Œrequests”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØmf%?}hEMÃ#hFˆubh)”}”(hŒ	lcr_genie”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$lcr_genie-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ eeaf68a2ab8c9b32b39d735f76f1591a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/lcr_genie-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@028c5e05f74fd57946bc00f34841a92b32cf4eb6926f286a84090d11a921c0e2”h2NhNh3(Œ	biopython”Œopenpyxl”Œpandas”Œpysbol2”Œpython 3.7.*”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØzyu` ÅhEJ§ hFˆubh)”}”(hŒr-ooplah”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ooplah-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ fc5dc7f89fef151e66335a36cdbc885c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ooplah-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@2944afd2cbad0107cb76046e6d45aa4bc2615d8f1d52ee0e87db9f45e3a0ecde”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-r6”†”h9hºh@ŒMIT”hBŒMIT”hDGAØzª)l9XhEJî‰ hFˆubh)”}”(hŒgconf2-cos7-aarch64”h#Œ3.2.6”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/gconf2-cos7-aarch64-3.2.6-h9b0a68f_1105.tar.bz2”h+Œ 86137e2a8b5f0427bbf7e8a8cac48b0a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gconf2-cos7-aarch64-3.2.6-h9b0a68f_1105.tar.bz2”h0Œ@8cbd0744b26b86aca4c878ab5f9ef62ce6388eff0d83eab1074676724b994796”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGAØ@ŠìžvÉhEJ“ hFˆubh)”}”(hŒ	r-shinylp”h#Œ1.1.2”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ(r-shinylp-1.1.2-r40h6115d3f_1002.tar.bz2”h+Œ 817e508279016309f43c1d086a0499be”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinylp-1.1.2-r40h6115d3f_1002.tar.bz2”h0Œ@9169eb6cadcf206a1982578bb8602c4324cad7c4bd7640feedaa29a9cf6ddb97”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGA×¬;Dç+hEMÈ£hFˆubh)”}”(hŒrsa”h#Œ4.7.2”h%Œpyh44b312d_0”h'K hhh(h)hŒrsa-4.7.2-pyh44b312d_0.tar.bz2”h+Œ 3452ab3790dbb1df9508b3fa4ea2f806”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/rsa-4.7.2-pyh44b312d_0.tar.bz2”h0Œ@6ea0fcd8f40c7f78e2c6cff344bb91f457682aa352ee48364246371a41410ee8”h2NhNh3Œpyasn1 >=0.1.3”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ“@²-hEMJnhFˆubh)”}”(hŒr-diffr”h#Œ0.1”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ$r-diffr-0.1-r42hc72bb7e_1005.tar.bz2”h+Œ 26f450a6b1dbed9d6a8240a2efdc8fd6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-diffr-0.1-r42hc72bb7e_1005.tar.bz2”h0Œ@8b69f13a51977a5dc82c0920d009832b339561756ec63e4347387a76a1ff54f1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmlwidgets”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ‹`=ãThEJ'V hFˆubh)”}”(hŒpytest-cache”h#Œ1.0”h%Œpy_2”h'Khhh(h)hŒpytest-cache-1.0-py_2.tar.bz2”h+Œ 127d734543b5c04b1429dd402123308f”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pytest-cache-1.0-py_2.tar.bz2”h0Œ@59263789207ad3c2365d629fdc27fee25650520b0eaefa675ba4b5432ebff2e0”h2NhNh3Œexecnet >=1.1.dev1”Œpytest >=2.2”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×qY²-hEM\%hFˆubh)”}”(hŒr-loader.2nc”h#Œ0.1.2”h%Œr41ha770c72_1”h'Khhh(h)hŒ(r-loader.2nc-0.1.2-r41ha770c72_1.tar.bz2”h+Œ fe274732a7f3b3a3fe0801a6b6ac4f13”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-loader.2nc-0.1.2-r41ha770c72_1.tar.bz2”h0Œ@c3665a8b66a4b7f32b7d4bdd7f8157589b24e481d875822d682fbbd3f191209b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ncdf4”Œr-transformer”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯õ&È´hEJçÞH hFˆubh)”}”(hŒr-leaflet.extras”h#Œ1.0.0”h%Œr351h6115d3f_1002”h'Mêhhh(h)hŒ0r-leaflet.extras-1.0.0-r351h6115d3f_1002.tar.bz2”h+Œ e6f3135079b982a7fda75ad31e2e2db6”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-leaflet.extras-1.0.0-r351h6115d3f_1002.tar.bz2”h0Œ@7643f89145ac7c9caf9ff422d16470ea224d6cdd5b4c980c1af1f45186a05aa1”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet >=2.0.0”Œ
r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖü™5ÔþhEJœY hFˆubh)”}”(hŒmag2exp”h#Œ0.62.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#mag2exp-0.62.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9f0440aeb029050abfff301d83694da2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/mag2exp-0.62.1-pyhd8ed1ab_0.tar.bz2”h0Œ@bdfb69543dce442340ee82e7f7219c7ad8acbed15fd6fe276eecf148f71e1955”h2NhNh3(Œnumpy >=1.19”Œoommfc >=0.64.0”Œpython >=3.8”Œscipy >=1.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÔ_@Ï hEMÜehFˆubh)”}”(hŒml-research”h#Œ0.4a2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ml-research-0.4a2-pyhd8ed1ab_0.tar.bz2”h+Œ 45f4c0fbfbfc35cf12623ba35c666b93”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ml-research-0.4a2-pyhd8ed1ab_0.tar.bz2”h0Œ@7ed3de601841f09a4727fdaadbca0d2dbacc21068da6c46b7ff5a868f1aa3c5e”h2NhNh3(Œimbalanced-learn >=0.8.0”Œmatplotlib-base”Œnumpy >=1.14”Œpandas >=1.3.5”Œpython >=3.8”Œpytorch >=1.8”Œpytorch-lightning >=1.6”Œrequests”Œrich”Œscikit-learn >=1.0.0”Œseaborn”Œtorchvision >=0.12”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÐþl|1hEMKòhFˆubh)”}”(hŒmodestimage”h#Œ0.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$modestimage-0.2-pyhd8ed1ab_1.tar.bz2”h+Œ e9738b25bd5f60de32c0204ca1bd83ec”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/modestimage-0.2-pyhd8ed1ab_1.tar.bz2”h0Œ@5263c85b8231f0547481ec98580d72572920c173304c2d7b7f4b67f38e03d51f”h2NhNh3Œmatplotlib-base”Œnumpy <1.24”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØP6<sçmhEMS+hFˆubh)”}”(hŒjupyterhub-terraformspawner”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒ.jupyterhub-terraformspawner-0.1.0-py_0.tar.bz2”h+Œ 7b331dbecf394f81fae894e95a41f1e5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/jupyterhub-terraformspawner-0.1.0-py_0.tar.bz2”h0Œ@d048babe7fe90e9451c939d66984c47cb3522417ce874992d305967177de688f”h2NhNh3Œjinja2”Œjupyterhub >=0.9.6,<1”Œpython >=3.3”‡”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×,üó¥ãhEMl!hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_10”h'K
hhh(h)hŒ"fenics-fiat-2019.1.0-py_10.tar.bz2”h+Œ fb1e176ab9384c019b7fc39599abcf61”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_10.tar.bz2”h0Œ@c38b034eaf4b8ec07f9ee55c2b3722961840f95bafb80bae3d42effbebf0b645”h2NhNh3(Œnumpy”Œpython >=3.5”Œ
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r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+0ËiXhEJý² hFˆubh)”}”(hŒsysroot-cos7-x86_64”h#Œ2.17”h%Œ
h8a41c72_6”h'Khhh(h)hŒ+sysroot-cos7-x86_64-2.17-h8a41c72_6.tar.bz2”h+Œ 69ccebb84ac5fb5c0499e8b014ccc3c4”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h8a41c72_6.tar.bz2”h0Œ@17d64fa739a64d3b29c0c29b77e34c33513c50b20bd669ceaf6eb5eb2032084a”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶èLüÝ/hEM!hFˆubh)”}”(hŒ	r-rarpack”h#Œ0.11_0”h%Œr40_1003”h'Mëhhh(h)hŒ!r-rarpack-0.11_0-r40_1003.tar.bz2”h+Œ e7bd09a9d2383dc88fc7b571c1749aae”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rarpack-0.11_0-r40_1003.tar.bz2”h0Œ@3f696a4b7415ffa7407e8e80206edd508a40cc28523a8c3c15c236d79845d36d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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igwn-alert”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%igwn-alert-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 310b82ac40a2338427eafe1891e03aad”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/igwn-alert-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@7822eb4e0257a26eaeccc41455b067ee35f295cc4656b56b44cfcf0a26f5c7b6”h2NhNh3(Œhop-client 0.6.0.*”Œpython >=3.6”Œpython-confluent-kafka >=1.7.0”Œ
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r-knockoff”h#Œ0.3.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-knockoff-0.3.6-r42hc72bb7e_0.tar.bz2”h+Œ 09842d94f3c917add6360f2f5c81b73c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-knockoff-0.3.6-r42hc72bb7e_0.tar.bz2”h0Œ@f6dc48f344994420438139a75bfb93e013d92db65eecb1e2e5e71a54e0768ce2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-corpcor”Œr-glmnet”Œr-gtools”Œr-matrix”Œr-rdsdp”Œ
r-rspectra”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ3µ<ZhEJÐ hFˆubh)”}”(hŒnagl”h#Œ0.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒnagl-0.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ 819be488a8cf6d9a1b757426861add8f”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/nagl-0.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@abff52dcb870b887f1a774b58c2af98126df5bcf7fb0739a86f9798283579fbe”h2NhNh3(Œclick”Œclick-option-group”Œopenff-utilities >=0.1.5”Œpydantic”Œpython >=3.8”Œpytorch”Œ
sqlalchemy”Œtqdm”t”h9h?h@ŒMIT AND BSD-3-Clause”hDGAØª¢ïžhEM‚éhFˆubh)”}”(hŒdownloader-cli”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)downloader-cli-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 177b099445fa9e2175c6771cfa4350ba”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/downloader-cli-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@d16106b0055a8f47fbf0ca3777e4474af6b4a4c9f22e06c0e18d813fd1374fd5”h2NhNh3Œpython >=3.0”Œurllib3 >=1.25.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØŠ4ø“uhEM£3hFˆubh)”}”(hŒbetsee”h#Œ1.1.1.0”h%Œpy_0”h'K hhh(h)hŒbetsee-1.1.1.0-py_0.tar.bz2”h+Œ 3cd91a8103617b8fe447bc089838b6dd”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/betsee-1.1.1.0-py_0.tar.bz2”h0Œ@1c75cc7adf32d9b70e0bc154971f83bb40cacc8e103fb10ebd6f557d7d0846e9”h2NhNh3(Œbetse 1.1.1”Œpyside2”Œpython >=3.5”Œsetuptools >=38.2.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×yÐs÷ÎÙhEJ¾‹ hFˆubh)”}”(hŒlibxscrnsaver-cos7-aarch64”h#Œ1.2.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libxscrnsaver-cos7-aarch64-1.2.2-h9b0a68f_1105.tar.bz2”h+Œ 59bc5bd78a77b64fc4a64dea6fe93bba”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-aarch64-1.2.2-h9b0a68f_1105.tar.bz2”h0Œ@fd4a70715bdb6bf9509e0303688e8b22a84526d36fb1ba8b4ea902ab429912c1”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ˆ9xÕhEM3OhFˆubh)”}”(hŒ	r-mixsmsn”h#Œ1.1_10”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-mixsmsn-1.1_10-r41hc72bb7e_1.tar.bz2”h+Œ 09a31a3d5a47e39ed7846e46b99952d3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mixsmsn-1.1_10-r41hc72bb7e_1.tar.bz2”h0Œ@76474b1e60057fde9eab1066f7e8d7728793e6e2a76b7bba638959e12c9f289b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mvtnorm >=0.9_9”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒM«_ÎÙhEJ* hFˆubh)”}”(hŒ	r-preseqr”h#Œ4.0.0”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ(r-preseqr-4.0.0-r41hc72bb7e_1002.tar.bz2”h+Œ c6586e710b12e9bff534a275ba0fef39”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-preseqr-4.0.0-r41hc72bb7e_1002.tar.bz2”h0Œ@3861239aacd8d365572ebc988fa4d6bc5ea6c11cc5e1ea39f24faec21fba7541”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-polynom”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+Å:ÐåhEJË hFˆubh)”}”(hŒgpyopt”h#Œ1.2.6”h%Œpyh8c360ce_0”h'K hhh(h)hŒ!gpyopt-1.2.6-pyh8c360ce_0.tar.bz2”h+Œ 8cf65e171bcd2f098c1ba431b80978cc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/gpyopt-1.2.6-pyh8c360ce_0.tar.bz2”h0Œ@184903d7a0bbc755c2f06ef6f0d02fc691597f8b111e887344d630a6cc214d91”h2NhNh3(Œ	gpy >=1.8”Œnumpy >=1.7”Œpython”Œscipy >=0.16”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×œè…b°!hEM•ßhFˆubh)”}”(hŒr-nycflights13”h#Œ1.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-nycflights13-1.0.2-r42hc72bb7e_1.tar.bz2”h+Œ 1d3b31891c0170af5c2530a494a3931f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-nycflights13-1.0.2-r42hc72bb7e_1.tar.bz2”h0Œ@226042b4f0063b1412c2306d8ec175decbae4630f860a863a487ddac8c3a0fde”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÑ”¤•OßhEJFgE hFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ'r-mcpan-1.1_21-r41hc72bb7e_1003.tar.bz2”h+Œ fc7d848e9ac295d657f6a7ac38043e51”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r41hc72bb7e_1003.tar.bz2”h0Œ@7e12a9f777b7b5109db14c0e861b275046d0032f6fd02bdc883cb1a20dd57022”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓXc»SøhEJ,æ hFˆubh)”}”(hŒ	r-lvm4net”h#Œ0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-lvm4net-0.3-r41hc72bb7e_0.tar.bz2”h+Œ df8434c4f6ffba5b49ce36c6782d1027”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lvm4net-0.3-r41hc72bb7e_0.tar.bz2”h0Œ@d563755809f8d022ec10b0b12ebf0dc214676aa8b5e1fed43c28403339b35fe6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-corpcor”Œ	r-ellipse”Œr-ergm”Œr-glmmml”Œr-igraph”Œr-mass”Œ	r-mvtnorm”Œ	r-network”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØlò”æ§ðhEJ€Ô hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyh76afe40_1”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyh76afe40_1.tar.bz2”h+Œ 92229420aec483e4242e2e2aaa60be17”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyh76afe40_1.tar.bz2”h0Œ@a0bfdb7edb99fb232a982174a264dcf7312c9d904cf7414ef8d0285ec449f86c”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×äJhEJJ
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r-ggdendro”Œ	r-ggplot2”Œr-gridextra”Œr-gtable”Œr-htmlwidgets”Œ
r-magrittr”Œr-plotly”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”Œ	r-stringr”t”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGAÖý¶ò¥ãThEJ’ hFˆubh)”}”(hŒgeant4-data-pii”h#Œ1.3”h%Œ1”h'Khhh(h)hŒgeant4-data-pii-1.3-1.tar.bz2”h+Œ 996471a3f6ec19f0dfd72ddf7a1c6efb”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/geant4-data-pii-1.3-1.tar.bz2”h0Œ@0f6602417a598271638be05818d52f7d9b0e1cafe7816e38e7266d98cd399f57”h2NhNh3)h9hºh@ŒOTHER”hDGA×3hbÐåhEJ f1 hFˆubh)”}”(hŒ	perl-base”h#Œ2.23”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ'perl-base-2.23-pl5321hd8ed1ab_0.tar.bz2”h+Œ d0ae29661c8985b4e4a512e6973f7a3f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/perl-base-2.23-pl5321hd8ed1ab_0.tar.bz2”h0Œ@4ab1fcab7b157d972db11ebc309576122f7dedcd18d2860712b4b89e7d203051”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÐÐ¿ÌÍhEM,LhFˆubh)”}”(hŒ
r-pheatmap”h#Œ1.0.12”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ'r-pheatmap-1.0.12-r41hc72bb7e_3.tar.bz2”h+Œ 235932d590cc0232febc0b3f2d8c34cb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pheatmap-1.0.12-r41hc72bb7e_3.tar.bz2”h0Œ@2257b397cc36b64e6ee5a981548625b2f60a9cb5b07197816d26b9bdecf89740”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gtable”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐß­OßhEJ‰g hFˆubh)”}”(hŒr-leaflet.extras”h#Œ1.0.0”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ/r-leaflet.extras-1.0.0-r41hc72bb7e_1004.tar.bz2”h+Œ ced968043215e94dd7d004eb6bd13271”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-leaflet.extras-1.0.0-r41hc72bb7e_1004.tar.bz2”h0Œ@b3791735456a93318dbf9df2e80c5ab22c6bc31d3a12e10a41b17323fe29a47b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet >=2.0.0”Œ
r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+ÿßñÛ#hEJró hFˆubh)”}”(hŒapproxposterior”h#Œ0.4”h%Œpy_0”h'K hhh(h)hŒ approxposterior-0.4-py_0.tar.bz2”h+Œ b1f51ca4795dc5decb79cc1c727b1fde”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/approxposterior-0.4-py_0.tar.bz2”h0Œ@db3744334ad5ffdad31f9380673bab08a25ba841c95100e4392eda60474772aa”h2NhNh3(Œcorner”Œ	emcee >=3”Œgeorge”Œh5py”Œ
matplotlib”Œnumpy”Œpython >=3.5”Œscikit-learn”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×…»«Æ¨hEMe~hFˆubh)”}”(hŒpybob”h#Œ0.26.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pybob-0.26.2-pyhd8ed1ab_0.tar.bz2”h+Œ 432a03a71810d5e9f6d667c40e67d888”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pybob-0.26.2-pyhd8ed1ab_0.tar.bz2”h0Œ@dcd8b7747f816bb679148725136dce6623e3c7ef8a338aa345aaf2155c9c155b”h2NhNh3(Œ	descartes”Œfiona”Œgdal”Œ	geopandas”Œh5py”Œmatplotlib-base”Œnumba”Œnumpy”Œopencv”Œpandas”Œpyproj”Œpython >=3.7”Œscikit-image >=0.18”Œscipy”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ5Œ–°  hEJF hFˆubh)”}”(hŒr-ggconf”h#Œ0.1.3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ'r-ggconf-0.1.3-r41hc72bb7e_1003.tar.bz2”h+Œ 25bbf1a4434ae888ccd5fb1d9afd3bd7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggconf-0.1.3-r41hc72bb7e_1003.tar.bz2”h0Œ@10317c10762e63eb3c8d27cdc155df2f3e65983c746051b15d6e0560550a79de”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.2.0”Œr-rly >=1.3.0”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒw~h  hEJ*  hFˆubh)”}”(hŒharfbuzz-cos7-x86_64”h#Œ1.7.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0harfbuzz-cos7-x86_64-1.7.5-h9b0a68f_1105.tar.bz2”h+Œ 8b0b0e1bf069eb0e8da0c5c2624720b8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-x86_64-1.7.5-h9b0a68f_1105.tar.bz2”h0Œ@db08d4b2c64c7951f750940ad44e155f19e4cfe28134aeeea9ad432000f13881”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@i..{hEJË hFˆubh)”}”(hŒitango”h#Œ0.1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!itango-0.1.9-pyhd8ed1ab_0.tar.bz2”h+Œ d946eff64b0f41bc1ec3cf89f37e0d0c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/itango-0.1.9-pyhd8ed1ab_0.tar.bz2”h0Œ@7443991ef86f80462339864e55c167fd39db8bb7400ac807d5d42675472eca51”h2NhNh3(Œipython >=1.0”Œ	packaging”Œpytango >=9.2.0”Œpython >=2.7”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ§qwÒòhEJ^ hFˆubh)”}”(hŒcmreshandler”h#Œ1.0.0”h%Œpy_2”h'Khhh(h)hŒcmreshandler-1.0.0-py_2.tar.bz2”h+Œ c603a6efef693c1c756e02a3b9d38438”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cmreshandler-1.0.0-py_2.tar.bz2”h0Œ@7e47687cd4a43ccd9f9799be5e68446bfa6b7acb3adaee6823a5652df21b2019”h2NhNh3Œelasticsearch”Œpython >=3.5”Œrequests”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×Ò0á¨ƒhEM0hFˆubh)”}”(hŒdjango-session-security”h#Œ2.6.7”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ2django-session-security-2.6.7-pyhd8ed1ab_1.tar.bz2”h+Œ 1944ff6333d193e1e5663777204ae8f7”h.Œ`https://conda.anaconda.org/conda-forge/noarch/django-session-security-2.6.7-pyhd8ed1ab_1.tar.bz2”h0Œ@b8504af69e2e601af9899f45046a563a44fc44f8822d15d0b81c687e5874125b”h2NhNh3Œdjango >=2.2”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÜí«0QìhEJ]j hFˆubh)”}”(hŒ
r-leafsync”h#Œ0.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-leafsync-0.1.0-r40h6115d3f_1.tar.bz2”h+Œ 16c2c1b568b31fc6ec720cba7b1d2bc3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-leafsync-0.1.0-r40h6115d3f_1.tar.bz2”h0Œ@b0ed735d1d73aeb9fb5f2b8d673e9ac9181f2d0764bd34152d16960d5a4adea3”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools >=0.3”Œr-htmlwidgets”Œr-leaflet >=2.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬Ž=mÒòhEJÅ hFˆubh)”}”(hŒ
r-survmisc”h#Œ0.5.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-survmisc-0.5.6-r41hc72bb7e_0.tar.bz2”h+Œ 4302b916d396c3b1e682e8f580034e1d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-survmisc-0.5.6-r41hc72bb7e_0.tar.bz2”h0Œ@b1be64618223b3135d9db7de845fbf6eae12387dfa0a00af41d7a147337d4311”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”Œr-gridextra”Œr-km.ci”Œr-kmsurv”Œr-knitr”Œ
r-survival”Œr-xtable”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ“éh¾$ÝhEJ•n hFˆubh)”}”(hŒexmol”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ exmol-2.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ de00bf1bdfb89b27be2bcaafbab42f60”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/exmol-2.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ef3a9c38ad8a0a90c352c3878b630b94ca3e19d0aace1b77dc3582bd0eabf57c”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œ	ratelimit”Œrdkit”Œrequests”Œscikit-learn”Œselfies >=2.0.0”Œskunk >=0.4.0”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØØ¾[“•hEJg(4 hFˆubh)”}”(hŒ
ipyvtklink”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%ipyvtklink-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 1fa988e3abc082dd4201f07213ab845f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ipyvtklink-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@02beeecdba93c6319c56a308521008a711afb5ad087617aa815cf4bef686e0f3”h2NhNh3(Œipycanvas >=0.5.0”Œipyevents >=0.8.0”Œipywidgets <8.0”Œpillow”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÎc­†È´hEM²3hFˆubh)”}”(hŒ
jax-unirep”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%jax-unirep-2.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ a1955407912ae32a405f8d386265f5be”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jax-unirep-2.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c60c9515efced82524517bb640dcc7721978de83ee6780b7cfaffe29ed44be4d”h2NhNh3(Œjax”Œjaxlib”Œmultipledispatch”Œnumpy”Œoptuna”Œpython >=3.6”Œscikit-learn”Œtqdm”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÀÝütZhEJKÇ³hFˆubh)”}”(hŒlibx11-common-cos7-ppc64le”h#Œ1.6.7”h%Œh1795305_101”h'Kehhh(h)hŒ5libx11-common-cos7-ppc64le-1.6.7-h1795305_101.tar.bz2”h+Œ 20808f8e652b23fc44e3481ce1c244cb”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-ppc64le-1.6.7-h1795305_101.tar.bz2”h0Œ@0e5549a35ffc9ec0ba6f6799370000a414d79a740c50b6532a6238afcaf2dc72”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å)33hEJu< hFˆubh)”}”(hŒlibibmad-cos7-aarch64”h#Œ1.3.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libibmad-cos7-aarch64-1.3.13-h9b0a68f_1105.tar.bz2”h+Œ 63401a07964bafc30ea83d925706742c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibmad-cos7-aarch64-1.3.13-h9b0a68f_1105.tar.bz2”h0Œ@c2f58fbadfd76a590b113197381a113bb290da180fd77ac7dc2a5fe3dc8ed154”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ³ÿÜol‹hEJã hFˆubh)”}”(hŒr-rfpermute”h#Œ2.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-rfpermute-2.5.1-r42hc72bb7e_1.tar.bz2”h+Œ 50461040bbac84af758f5b8d0998a366”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rfpermute-2.5.1-r42hc72bb7e_1.tar.bz2”h0Œ@8cfb70520ed161d07e5ea2f673e95bd498b2a7aaf01b97296ac599abbf68f1bc”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-gridextra”Œ
r-magrittr”Œr-plyr”Œr-randomforest”Œ
r-reshape2”Œr-rlang”Œr-scales”Œr-swfscmisc >=1.1.1”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒFe?}hEJ„* hFˆubh)”}”(hŒr-rdrop2”h#Œ0.8.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-rdrop2-0.8.2.1-r41hc72bb7e_0.tar.bz2”h+Œ 03f14e5e4735dff1669222f9247b5f72”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rdrop2-0.8.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@4b815af46a2dcb77f2500b89a68e5fcf8ce539f6f32c7ce63c6b0e9c69a2951f”h2NhNh3(Œr-assertive”Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,]NE¢hEJ6ˆ hFˆubh)”}”(hŒ
flake8-sfs”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%flake8-sfs-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 1ce816b77df4f3a395df6086c40d5164”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/flake8-sfs-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@747b1ccd1d7d8a7ea095ccf2dd402506fb6e4ca6f05caab189391d49e4244ea7”h2NhNh3Œ
flake8 >=3”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØØOòŒ9XhEMÌ*hFˆubh)”}”(hŒordered-set”h#Œ4.0.2”h%Œpy_0”h'K hhh(h)hŒordered-set-4.0.2-py_0.tar.bz2”h+Œ eb25eac295ea92a8c0cbfcbf1aeb3206”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/ordered-set-4.0.2-py_0.tar.bz2”h0Œ@ddec6a1e9f990415586f079d3921f7c6ef2a5b73f2c4deb398167717ffba3e56”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ºÝ.týôhEM+hFˆubh)”}”(hŒdrmaa”h#Œ0.7.9”h%Œpy_1000”h'Mèhhh(h)hŒdrmaa-0.7.9-py_1000.tar.bz2”h+Œ f377e810dbaeacb93b79a54efe7e1d3e”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/drmaa-0.7.9-py_1000.tar.bz2”h0Œ@82ece00ff171efc95d9fe1de7a71df13c0c074789f6e9996df387e594e2ebd6e”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hDGAÖþºü(öhEMHhFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpyhd8ed1ab_16”h'Khhh(h)hŒ*fenics-fiat-2019.1.0-pyhd8ed1ab_16.tar.bz2”h+Œ 104cc6197d8505146aee9f560b7d9363”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-pyhd8ed1ab_16.tar.bz2”h0Œ@a0e3d2412d3d8fe6f43dea5388f2d766957034f576ccb52de28c105e0abddeba”h2NhNh3(Œnumpy”Œpython >=3.5”Œ
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dtool_http”Œdtool_symlink”Œ	dtoolcore”Œpython >=3.6”Œruamel.yaml”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ4¦µãThEMn1hFˆubh)”}”(hŒ incqueryserver-api-python-client”h#Œ0.24.0.post2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒBincqueryserver-api-python-client-0.24.0.post2-pyhd8ed1ab_0.tar.bz2”h+Œ 4129e7a21c5d0cb94a0d01b55e2ae1f5”h.Œphttps://conda.anaconda.org/conda-forge/noarch/incqueryserver-api-python-client-0.24.0.post2-pyhd8ed1ab_0.tar.bz2”h0Œ@296c406735a6a46c3a5f260b9fc99d138cf452535c582f7167ba8ab73cde7ffa”h2NhNh3(Œcertifi”Œpython ==2.7.*|>=3.4”Œpython-dateutil”Œ
six >=1.10”Œurllib3 >=1.15”t”h9h?h@Œ
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unicorn-fy”h#Œ0.12.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&unicorn-fy-0.12.2-pyhd8ed1ab_0.tar.bz2”h+Œ 30f2638da7b7d0317b0316cbff679454”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/unicorn-fy-0.12.2-pyhd8ed1ab_0.tar.bz2”h0Œ@91974678366a30334984e274ee9927fc2bfa05a8e38d3f8fe7eb87b46736bdfb”h2NhNh3Œpython >=3.6”Œrequests”Œujson”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØgs³SøhEM+FhFˆubh)”}”(hŒ	osfclient”h#Œ0.0.5”h%Œpyh44b312d_0”h'K hhh(h)hŒ$osfclient-0.0.5-pyh44b312d_0.tar.bz2”h+Œ 4ba3851d0f33dcb7a3c92a62d1975bdd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/osfclient-0.0.5-pyh44b312d_0.tar.bz2”h0Œ@f9c2e542e2f3a80162b72322998b1447c9ad297c260d527e0e975d90b980cedb”h2NhNh3(Œpython”Œrequests”Œsix”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØdq¾ùÛhEMNphFˆubh)”}”(hŒseir”h#Œ0.2.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒseir-0.2.3-pyh9f0ad1d_0.tar.bz2”h+Œ 448e0965cfd489a630b0542a2796c2c5”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/seir-0.2.3-pyh9f0ad1d_0.tar.bz2”h0Œ@55886c46d402929ad89f866968ad5d0a022ef0eb8341b9249d13f68783f1b378”h2NhNh3(Œclick”Œmatplotlib-base”Œnumpy”Œpandas”Œpython”Œscipy >=1.4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÆÃ§;÷ÏhEM¶NhFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-registry-0.5_1-r36h6115d3f_1.tar.bz2”h+Œ 13897919b92601893454723ec8a5e643”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r36h6115d3f_1.tar.bz2”h0Œ@0dbb91dcf1f82fa1d76d6d046156eb95108402e3cf479d831716f7c014074d5f”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×K° ­?}hEJò0 hFˆubh)”}”(hŒ
r-corrgram”h#Œ1.14”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ%r-corrgram-1.14-r36hc72bb7e_0.tar.bz2”h+Œ 876c3183d27a2055a27e4c2f6a4dc63a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-corrgram-1.14-r36hc72bb7e_0.tar.bz2”h0Œ@a3c7ba27530a8e4609c9cc0bbf05ae3a610a2c6f37c941a1a1b7dcf8fed9a9b9”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ"ÁÚ\hEJ(¥ hFˆubh)”}”(hŒpytentiostat”h#Œ0.0.5”h%Œpy_1”h'Khhh(h)hŒpytentiostat-0.0.5-py_1.tar.bz2”h+Œ b816a9a863f92400253627f661128a13”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pytentiostat-0.0.5-py_1.tar.bz2”h0Œ@72d81f2b6dfef161d9e73326b24a906dc93fa1b5a0b949f431275d12ad6f4950”h2NhNh3(Œmatplotlib-base”Œpandas”Œ	pyfirmata”Œpyserial”Œ
python >=3”Œpyyaml”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×‘´OßhEMð5hFˆubh)”}”(hŒr-normallaplace”h#Œ0.3_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-normallaplace-0.3_0-r42hc72bb7e_1.tar.bz2”h+Œ 7b6e1fe784fabf9e0cf1175e6f9b06dd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-normallaplace-0.3_0-r42hc72bb7e_1.tar.bz2”h0Œ@1dc5b94bde1db152a024b888c417604d89bf47ee1b53b6090f7380baff55b7fd”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-distributionutils”Œr-generalizedhyperbolic”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒEçû×
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r-progress”h#Œ1.2.2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ&r-progress-1.2.2-r42hc72bb7e_3.tar.bz2”h+Œ d56bcec1d57443abfede702c22067855”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progress-1.2.2-r42hc72bb7e_3.tar.bz2”h0Œ@1fddd9914af3976cc113e8035a21509170e7470cdd9c5645db39bedb0cd67dcc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-hms”Œr-prettyunits”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐHw.ffhEJÇp hFˆubh)”}”(hŒsphinx”h#Œ5.0.0”h%Œpyh6c4a22f_1”h'Khhh(h)hŒ!sphinx-5.0.0-pyh6c4a22f_1.tar.bz2”h+Œ a7cc4b9c94548ff9a19b368f975e5404”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/sphinx-5.0.0-pyh6c4a22f_1.tar.bz2”h0Œ@fcbaaa7513cdf2f80bcb3e042016dc8a1bbd978ce87774efc2b4f20a849cf7d5”h2NhNh3(Œalabaster >=0.7,<0.8”Œbabel >=1.3”Œcolorama >=0.3.5”Œdocutils >=0.14,<0.19”Œ	imagesize”Œimportlib-metadata >=4.4”Œjinja2 >=2.3”Œ	packaging”Œpygments >=2.0”Œpython >=3.6”Œrequests >=2.5.0”Œsnowballstemmer >=1.1”Œsphinxcontrib-applehelp”Œsphinxcontrib-devhelp”Œsphinxcontrib-htmlhelp >=2.0.0”Œsphinxcontrib-jsmath”Œsphinxcontrib-qthelp”Œ%sphinxcontrib-serializinghtml >=1.1.5”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¥%dÜIºhEJ¤ hFˆubh)”}”(hŒ	r-mcbiopi”h#Œ1.1.6”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ(r-mcbiopi-1.1.6-r42hc72bb7e_1003.tar.bz2”h+Œ 460b46231e4d862051c8d120d3c24402”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mcbiopi-1.1.6-r42hc72bb7e_1003.tar.bz2”h0Œ@69081c4b7d212ae830079f5fc3016f0ef004543989d2b5a64a94de347af00654”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGAØÒS³hEMË³hFˆubh)”}”(hŒr-sybil”h#Œ2.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-sybil-2.2.0-r40hc72bb7e_0.tar.bz2”h+Œ a600a4856347abf5c14542779cd68a8a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-sybil-2.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@16add7a2f69bdde1e8140b272897629c4aafc261abbd01d9ecb7c57bb07cf15f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-lattice”Œr-matrix”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ-M®hEJ# hFˆubh)”}”(hŒr-visualizer”h#Œ1.6.1”h%Œr36ha770c72_1”h'Khhh(h)hŒ(r-visualizer-1.6.1-r36ha770c72_1.tar.bz2”h+Œ 224a9443a4ab8cc333a0aa3bfc8eb08a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-visualizer-1.6.1-r36ha770c72_1.tar.bz2”h0Œ@fde77f0dea07b859eec9e4dea852aa86ff485997978115e4adbce51ed9ac4901”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-easyverification”Œr-fields”Œ	r-lattice”Œr-latticeextra”Œ
r-magrittr”Œ
r-mapplots”Œr-padr”Œr-rcolorbrewer”Œr-scales”Œr-sm”Œr-sp”Œr-specsverification”Œr-transformer >=2.0.0”Œr-verification”Œ	r-vioplot”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢6n›çmhEJØû+hFˆubh)”}”(hŒmesa-khr-devel-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8mesa-khr-devel-cos7-aarch64-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ b1a9cc096978fd4336e156c7448bdb9c”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-aarch64-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@7552d5f8501c37515c7091feb62b9bbc0475a4689b0ddea9a9d3399db07a41dc”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@†ÝÍ/hEMòhFˆubh)”}”(hŒvalidator-collection”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/validator-collection-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6217fc34eaace04218c632704d52ac5e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/validator-collection-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5ec24cebb7536f31187ea3c217dd93e73b84716ad22b8ee7823ece89ce0d47de”h2NhNh3Œ
jsonschema”Œpython >=3.4,<4.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØWÁ¨NVhEMÙhFˆubh)”}”(hŒpython-ags4”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&python-ags4-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ fcb4a516a51042d113fabdb072071012”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/python-ags4-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e534a01ded98e8a1b86fc25dfc247b15aca17592ea56f2b742803cb23c68acbe”h2NhNh3(Œclick >=7.0,<9.0”Œdefusedxml >=0.6.0,<1.0”Œopenpyxl >=3.0,<4.0”Œpandas >=1.0,<2.0”Œpython >=3.7”Œrich >=9.0,<13.0”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØÏv[v‡+hEJ¹Z hFˆubh)”}”(hŒr-shinystan”h#Œ2.6.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-shinystan-2.6.0-r42hc72bb7e_1.tar.bz2”h+Œ 8230077ee55e391411562e7c28834362”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinystan-2.6.0-r42hc72bb7e_1.tar.bz2”h0Œ@73c89e1264d38022440a1449052fea7e8b95933be040c406fae9f6602d45705b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bayesplot >=1.5.0”Œr-colourpicker”Œ
r-dt >=0.2”Œr-dygraphs >=1.1.1.2”Œr-ggplot2 >=2.1.1”Œr-gridextra”Œr-gtools”Œr-markdown >=0.7.4”Œ
r-reshape2”Œr-rsconnect >=0.4.2”Œr-rstan >=2.17.1”Œr-shiny >=1.0.3”Œr-shinyjs >=0.6.0”Œr-shinythemes >=1.0.1”Œr-threejs >=0.2.1”Œr-xtable”Œr-xts >=0.9_7”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÔ4LÈ´hEJŒ= hFˆubh)”}”(hŒr-wesanderson”h#Œ0.3.6”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ,r-wesanderson-0.3.6-r40hc72bb7e_1004.tar.bz2”h+Œ d0896b09aa356dc1957acb8b4c05c684”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-wesanderson-0.3.6-r40hc72bb7e_1004.tar.bz2”h0Œ@019a893b9b92b7cd7a650599144317c9118e8a8e0aff3e007a0a6bd4a05ccb3d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsRÈ™Û#hEMŽdhFˆubh)”}”(hŒlat_lon_parser”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)lat_lon_parser-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ e9955f5421997e52fcdb4db6f9c0b896”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/lat_lon_parser-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2dc5dafa0bde2b512151ec46883976883e16a7dcafd9b249e33c3e2f1ea11de8”h2NhNh3Œpython >=2.7”…”h9h?h@ŒCC0-1.0”hDGAØš„ïD1hEMr9hFˆubh)”}”(hŒr-beepr”h#Œ1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-beepr-1.3-r42hc72bb7e_1.tar.bz2”h+Œ 4230b15d30e5752e01957bd306c843a5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-beepr-1.3-r42hc72bb7e_1.tar.bz2”h0Œ@2fd8eb534b779f768377d7999a8ba64fb9e3c20dc1a455daf2ba4a8aa6fe53e7”h2NhNh3Œr-audio”Œr-base >=4.2,<4.3.0a0”Œr-stringr >=1.0.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ£+©ühEJ á hFˆubh)”}”(hŒ"xorg-x11-server-common-cos7-x86_64”h#Œ1.20.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ?xorg-x11-server-common-cos7-x86_64-1.20.4-hdf0574f_1102.tar.bz2”h+Œ 220c131eade28035683f32c421edb97b”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-x86_64-1.20.4-hdf0574f_1102.tar.bz2”•      h0Œ@4d4c9b299f6e2d7a4eae6b88bbe8c023c5d97f1220a2c1313ebf536333b52e9c”h2NhNh3Œ"pixman-cos7-x86_64 >=0.30.0 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;¨®ÙhEMühFˆubh)”}”(hŒ	r-origami”h#Œ1.0.7”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-origami-1.0.7-r42hc72bb7e_0.tar.bz2”h+Œ ceefc38af07a7068ec58529487d2a250”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-origami-1.0.7-r42hc72bb7e_0.tar.bz2”h0Œ@0330b4ec1e1388204f0230bd9d34721b93663f0de426b19389ea44eafbbc6983”h2NhNh3(Œr-abind”Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-future”Œr-future.apply”Œ	r-listenv”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÔ<_òÐåhEJ¤À hFˆubh)”}”(hŒhtml5lib”h#Œ0.999999999”h%Œpy_1”h'Khhh(h)hŒ!html5lib-0.999999999-py_1.tar.bz2”h+Œ 986cdff4551fd0a6ea08fb5150db6ef0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/html5lib-0.999999999-py_1.tar.bz2”h0Œ@c1e664bb03e2fa78f881e2f7ea2dd73dd2a31c7898856315f0c41fcc8fc5eb30”h2NhNh3Œpython”Œ	six >=1.9”Œwebencodings”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖá1ƒN{hEJxJ hFˆubh)”}”(hŒ	chroma-py”h#Œ
0.1.0.dev1”h%Œpy_0”h'K hhh(h)hŒ!chroma-py-0.1.0.dev1-py_0.tar.bz2”h+Œ f59840f86297359fb73aff3b04c040c0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/chroma-py-0.1.0.dev1-py_0.tar.bz2”h0Œ@496bb933beea98aada2d98eb3e0a0c01e07cf0bd93d8ac7b7f94384cc7dc015a”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×E3–­hEMbhFˆubh)”}”(hŒlibxcursor-cos6-x86_64”h#Œ1.1.14”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libxcursor-cos6-x86_64-1.1.14-h9b0a68f_105.tar.bz2”h+Œ 55f383a298fcafe53a71054393d715b3”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxcursor-cos6-x86_64-1.1.14-h9b0a68f_105.tar.bz2”h0Œ@6aad4d1c00bf5bea864471ff39c3ee1703008bccc5be2446647a4ff02d2f26d4”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[6ó33hEM´chFˆubh)”}”(hŒcmasher”h#Œ1.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cmasher-1.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ 20e7098fc530cad14a6bf265ddfdbcec”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cmasher-1.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@6626adf6ffa8ec58c4bbb1aabcae183c656ef7a8a2dca8fb50ebdbb1e4785308”h2NhNh3(Œcolorspacious >=1.1.0”Œe13tools >=0.9.4”Œmatplotlib-base >=2.2.4”Œnumpy >=1.16.0”Œpython >=3.5,<4.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØb¢E¢hEJôç hFˆubh)”}”(hŒlibsoup-cos6-x86_64”h#Œ2.34.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libsoup-cos6-x86_64-2.34.3-ha826a6f_1103.tar.bz2”h+Œ 69a5d7800f0bf5975ad2f0903268cea9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsoup-cos6-x86_64-2.34.3-ha826a6f_1103.tar.bz2”h0Œ@30ff39dfc06505c6d97ecd84a63dcf311828c71bc4a32785776ae52565cdd49f”h2NhNh3Œ,glib-networking-cos6-x86_64 >=2.27.90 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{â]p¤hEJ¹ hFˆubh)”}”(hŒvapory”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!vapory-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 13de2fe6bf672e15c7106426f1ec51e4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/vapory-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@dd8c79df9076350aa8bf0231cd7713e77c77bedf3f5c35c428002b5cc921ce8e”h2NhNh3Œnumpy”Œpovray”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ'Øv&ffhEM$FhFˆubh)”}”(hŒlibxcursor-cos7-x86_64”h#Œ1.1.15”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libxcursor-cos7-x86_64-1.1.15-h9b0a68f_1105.tar.bz2”h+Œ 757fec3dfd582caf3ee36b4b18e6f5ba”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-x86_64-1.1.15-h9b0a68f_1105.tar.bz2”h0Œ@32447a73cbfe104625786d183c112828643c93926595d3209d5b5fa63e3292c4”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@nwÂ°!hEMkhFˆubh)”}”(hŒnfinder”h#Œ0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ nfinder-0.3-pyhd8ed1ab_0.tar.bz2”h+Œ fb4e9428c56fc926fa229889db810a4a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/nfinder-0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@dccf879eada0a396789a271eb1db95f539a6fcd5f5d03795de520d0e17d2cd06”h2NhNh3(Œmagicgui”Œmatplotlib-base”Œnapari”Œnapari-plugin-engine”Œnumpy”Œpandas”Œpython >=3.7”Œscikit-image”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÊûçhEJ hFˆubh)”}”(hŒr-chorddiag”h#Œ0.1.3”h%Œr41ha770c72_2”h'Khhh(h)hŒ'r-chorddiag-0.1.3-r41ha770c72_2.tar.bz2”h+Œ b96283d2b41874d08e2831aaa34fff79”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-chorddiag-0.1.3-r41ha770c72_2.tar.bz2”h0Œ@6a2c44d9a4cd1d5a217ac7baf40a14933d230d81858e2a7f008495dbe308c071”h2NhNh3(Œopenjdk”Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets”Œr-rcolorbrewer”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯`%ÒòhEJ‡Û hFˆubh)”}”(hŒr-r2dii.match”h#Œ0.1.3”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-r2dii.match-0.1.3-r36hc72bb7e_0.tar.bz2”h+Œ 3ff55ddcf7d6961bd12e161d636f59d7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-r2dii.match-0.1.3-r36hc72bb7e_0.tar.bz2”h0Œ@bda8a8b9408ea38443501d71555888e7c4c520c0895924b46542e41364740f1c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-dplyr >=0.8.5”Œr-glue”Œ
r-magrittr”Œr-purrr”Œr-r2dii.data”Œr-rlang”Œr-stringdist”Œ	r-stringi”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÙB¢°!hEJÆ hFˆubh)”}”(hŒharfbuzz-cos7-ppc64le”h#Œ1.7.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1harfbuzz-cos7-ppc64le-1.7.5-h9d98e8f_1104.tar.bz2”h+Œ 19b6c4e8cb732e37651d9f284d705d96”h.Œ_https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-ppc64le-1.7.5-h9d98e8f_1104.tar.bz2”h0Œ@05414d8d5415a8d62774dda9561306d33123fe9a67617bfda8e31e0cd106a7b7”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz*0ÔþhEJ;Ã hFˆubh)”}”(hŒlibxdamage-cos6-x86_64”h#Œ1.1.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ2libxdamage-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h+Œ 8814ddb59957dc111123ad6fdbb43123”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h0Œ@e9c3175445f6e853dded0f4f75f9cd244954056675cfb5aeaa0686aadc39af00”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+Ð´9hEM¬8hFˆubh)”}”(hŒpdbpp”h#Œ0.10.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3efee795aeb50ae2ca1ac732b529e603”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c3f3996853853501af5ee936ebbd5a3de2eb1e73a078c7d4c541dbd97b315248”h2NhNh3(Œfancycompleter”Œpygments”Œpython >=3.4”Œwmctrl”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ:Ã¢ÐåhEM²ahFˆubh)”}”(hŒgoogle-auth-httplib2”h#Œ0.1.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ/google-auth-httplib2-0.1.0-pyhd8ed1ab_1.tar.bz2”h+Œ 829c632fd23d1d4dd0adeb461a4e6a13”h.Œ]https://conda.anaconda.org/conda-forge/noarch/google-auth-httplib2-0.1.0-pyhd8ed1ab_1.tar.bz2”h0Œ@c637a9f3c45d1e1b09cc70eb5b5063a3cbd8cc7a7a8512b9b3f464abb748d4bf”h2NhNh3(Œgoogle-auth”Œhttplib2 >=0.15.0”Œpython >=3.6”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¦Ê7PhEM¤5hFˆubh)”}”(hŒr-flowr”h#Œ0.9.11”h%Œr41ha770c72_0”h'K hhh(h)hŒ$r-flowr-0.9.11-r41ha770c72_0.tar.bz2”h+Œ 029de1d512bdb4e5f39623e277d0276f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flowr-0.9.11-r41ha770c72_0.tar.bz2”h0Œ@6ac94070dedc7c68b3e2ab8fb55a93e850d80bb84df9ab5974f1e02d3efa7a91”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-diagram”Œr-params >=0.3”Œ	r-whisker”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+{ê–¸RhEJç* hFˆubh)”}”(hŒclick-default-group-wheel”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4click-default-group-wheel-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 2228f2640491b5e9c03b6f6346cba887”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/click-default-group-wheel-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@3a4d5c96f5375715aec9b8b7639c5a401a90dc1019d24288e4e9494148a640ee”h2NhNh3Œclick”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœ§-DZhEM´hFˆubh)”}”(hŒlark-parser”h#Œ0.10.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ'lark-parser-0.10.1-pyhd3deb0d_0.tar.bz2”h+Œ 5b23dcc76e80743d84ce667a3d951c2a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/lark-parser-0.10.1-pyhd3deb0d_0.tar.bz2”h0Œ@26ce6c9f01a515712ed9ca07bc5247745e8fa61f8098b1b215c1b751ed518962”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×í¸Á`BhEJé hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGAØ+p®ffhEJªF
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setuptools”Œsix >=1.9.0”Œtyping_extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØzº$3÷ÏhEJD?	 hFˆubh)”}”(hŒchemlite”h#Œ2.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#chemlite-2.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8cb84d0349f3fb003d6c1b48ad5d8c0b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/chemlite-2.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2aad6a210f0d7114d143b49b574cc39518c5cf4d6ff1fd5ba041d74549600001”h2NhNh3Œ	brs_utils”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØŒêYÆ5?hEM˜NhFˆubh)”}”(hŒr-startupmsg”h#Œ0.9.6”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ(r-startupmsg-0.9.6-r42hc72bb7e_3.tar.bz2”h+Œ a85013c2def53376f268f267dd046529”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-startupmsg-0.9.6-r42hc72bb7e_3.tar.bz2”h0Œ@2a79dbc98cad77bd0e4739ef276870690ec6ad7e960bdc9f874569c58fea93bc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÑY\)hEMÍÆhFˆubh)”}”(hŒrestinstance”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'restinstance-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ c0d4a93ceed7f58d8c2d17e04feffb47”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/restinstance-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5adf0ae352b97a813fbe97fea5bd4c15d9f487d0c6072085a8fb7fd1abba3f70”h2NhNh3(Œdocutils”Œflex-swagger”Œgenson”Œjsonpath-ng”Œ
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r-multcomp”Œ
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python >=3”Œspotipy”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ{þòÎùÛhEM²^hFˆubh)”}”(hŒscipy-sugar”h#Œ1.0.9”h%Œpy_0”h'K hhh(h)hŒscipy-sugar-1.0.9-py_0.tar.bz2”h+Œ 189f92409ce58f1d0bd4d5ebd0a11c61”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/scipy-sugar-1.0.9-py_0.tar.bz2”h0Œ@c8e2e93171754873f53832c435b28aca532bb6db57079df47440b66ee7575271”h2NhNh3(Œnumpy”Œpytest-doctestplus”Œpython”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×#ž­?}hEM÷hFˆubh)”}”(hŒ	r-polynom”h#Œ1.4_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-polynom-1.4_1-r42hc72bb7e_1.tar.bz2”h+Œ 4abd839a0d17f05484c45cbfafe33da4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-polynom-1.4_1-r42hc72bb7e_1.tar.bz2”h0Œ@52c09e3f5c5621076c7f53370aa0296611c9e6b8758fda6768a8a8f88af44ff6”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐP•Ùº^hEJ`Ë hFˆubh)”}”(hŒr-prettygraphs”h#Œ2.1.6”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ*r-prettygraphs-2.1.6-r40hc72bb7e_2.tar.bz2”h+Œ e37e1a5e4a809883f7c8a0f20876f3fd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-prettygraphs-2.1.6-r40hc72bb7e_2.tar.bz2”h0Œ@d03d438d788d909c7a87710c78c4f6f68bdd5b577681e96c0fc8a58e573a9e2c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ñÆ6$ÝhEJ)w hFˆubh)”}”(hŒr-calibrate”h#Œ1.7.7”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-calibrate-1.7.7-r36h6115d3f_0.tar.bz2”h+Œ f72fc073597dd3a8dba710bbac289029”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-calibrate-1.7.7-r36h6115d3f_0.tar.bz2”h0Œ@a99efc34628bead90477e75c384aca919f03358e431c9d0fdcb35aff9281d985”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×»ETjhEJÁ hFˆubh)”}”(hŒsk-video”h#Œ1.1.10”h%Œpy_0”h'K hhh(h)hŒsk-video-1.1.10-py_0.tar.bz2”h+Œ 10bce0885666bf6d789674d9c8706608”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sk-video-1.1.10-py_0.tar.bz2”h0Œ@48c8b6ef4074afe5a94e7e8ca38de5e4b9736d0d50452eef06ca735eb9f6e699”h2NhNh3(Œffmpeg”Œnumpy”Œpython”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEJ„j" hFˆubh)”}”(hŒcoverage-lcov”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(coverage-lcov-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 124bb66240bb0c8bf2d9546696113653”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/coverage-lcov-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@b9979ff61884abbdfcd455f19879e13e5de5038a7971f4529b6b56076f8038d7”h2NhNh3(Œclick <8.0.0,>=7.1.2”Œcoverage <6.0,>=5.5”Œpython >=3.6.3”Œ
toml >=0.5”Œtypes-toml <0.2.0,>=0.1.5”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ‘	h:=qhEM“0hFˆubh)”}”(hŒ
r-sparsepp”h#Œ1.22”h%Œ	r351_2001”h'MÑhhh(h)hŒ!r-sparsepp-1.22-r351_2001.tar.bz2”h+Œ 4dd97ecdb244dfbc8c5bdbfbe67c0097”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepp-1.22-r351_2001.tar.bz2”h0Œ@a26180caf292a3c1aea95e982315105e9f34ba42946995d432d2996f8088da35”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAÖÿ¡’¹XhEJ»Í hFˆubh)”}”(hŒr-udapi”h#Œ0.1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-udapi-0.1.3-r40hc72bb7e_0.tar.bz2”h+Œ 7bbfd5efebb76fb2917e72498eb155c0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-udapi-0.1.3-r40hc72bb7e_0.tar.bz2”h0Œ@f14d8193c16b7f1a7b50fb006bd0702a3ac485e532143fd17b03c4b3b77b77c6”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-curl”Œr-httr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ-¢ÚïžhEMaXhFˆubh)”}”(hŒnionswift-io”h#Œ0.15.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(nionswift-io-0.15.1-pyhd8ed1ab_0.tar.bz2”h+Œ 58eea7cfbe8ff7c593e6936c1466c97f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/nionswift-io-0.15.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6c90ca1952a114ea33e140ae5b0e34182c28be8f0285bc16b51b908f87690e23”h2NhNh3(Œniondata >=0.14.0,<0.16.0”Œnionutils >=0.4.0,<0.5.0”Œnumpy >=1.21,<2.0”Œpython >=3.8”t”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGAØ§NGkC–hEJ,Í hFˆubh)”}”(hŒ
parliament”h#Œ1.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%parliament-1.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ e1a64c240a25f777fa8e481bb4595ca8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/parliament-1.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@11872fc6b60b683f2692755cb64eb2e98560f4749dade935133681decfabcf83”h2NhNh3(Œboto3”Œjmespath”Œjson-cfg”Œpython >=3.6”Œpyyaml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÅö³DIºhEJ÷y hFˆubh)”}”(hŒcolored-traceback”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,colored-traceback-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 55a8fc00ee132bbf9b9dfe97baca410c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/colored-traceback-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9531213234c50fdf3949310404b886f77aeebe34b8c732a60aa5b13dcc694294”h2NhNh3Œpygments”Œpython >=2.7”†”h9h?h@ŒISC”hDGAØ#î}²-hEM hFˆubh)”}”(hŒmesa-dri-drivers-cos7-ppc64le”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ:mesa-dri-drivers-cos7-ppc64le-18.3.4-ha826a6f_1103.tar.bz2”h+Œ 2575e84820d0f5f8f3207a6c048d5569”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-ppc64le-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@ee3718851764d419c5470679c9be3763ca6107635c34bbf65b6df7b7991d850d”h2NhNh3Œ#libdrm-cos7-ppc64le >=2.4.83 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ25´9hEJ¥vühFˆubh)”}”(hŒr-flux”h#Œ0.3_0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-flux-0.3_0.1-r41hc72bb7e_1.tar.bz2”h+Œ 110d966ea36eb4088851327bf71e9da5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flux-0.3_0.1-r41hc72bb7e_1.tar.bz2”h0Œ@2b2e6c78476cc4ed926c240d6c1f276878deb960ec36643a46cc242195aab4b5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-catools”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ~¬B°!hEJJr	 hFˆubh)”}”(hŒ#opentelemetry-instrumentation-dbapi”h#Œ0.33b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ?opentelemetry-instrumentation-dbapi-0.33b0-pyhd8ed1ab_0.tar.bz2”h+Œ ea5f011f2b14a5aef1d489f8f2a7aede”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/opentelemetry-instrumentation-dbapi-0.33b0-pyhd8ed1ab_0.tar.bz2”h0Œ@dc0d7ba415a1de9652515740a2952d76d8bc75fc78bf24257df1b8e026d0aeb1”h2NhNh3(Œopentelemetry-api ~=1.12”Œ$opentelemetry-instrumentation 0.33b0”Œ)opentelemetry-semantic-conventions 0.33b0”Œpython >=3.6”Œwrapt <2.0.0,>=1.0.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¼Ý1G®hEMD;hFˆubh)”}”(hŒ	pipreqsnb”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pipreqsnb-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 5e0e4dc4679670d662a8a5de2dff495a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pipreqsnb-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e514bf78cba4628b3fdabe4921d1bc72bb39f963533364c64285982fbdecad83”h2NhNh3Œpipreqs”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØtãt¼hEM·"hFˆubh)”}”(hŒlibsepol-cos7-x86_64”h#Œ2.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libsepol-cos7-x86_64-2.5-h9d98e8f_1104.tar.bz2”h+Œ c9533ffbfaf0a795db74447e48a394e8”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-x86_64-2.5-h9d98e8f_1104.tar.bz2”h0Œ@cba2d97ae82dc2123d7b292a15851181fa43a4e398c5784086c3239f3350bb3f”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉyXCdZhEJi hFˆubh)”}”(hŒr-datapasta”h#Œ3.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-datapasta-3.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 4eeffd178c3b1c12ae88ddc38e7c87d1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-datapasta-3.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@3991d2c822a8e99d6a737540239e56f09d66e1e91f225a02506d3a9d66860570”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-clipr >=0.3.0”Œr-readr >=1.2.0”Œr-rstudioapi >=0.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ‹óVffhEJ°Ò
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hc42de5b_0”h'K hhh(h)hŒ%rb-safe_yaml-1.0.5-hc42de5b_0.tar.bz2”h+Œ 99acc91724ac09eb825166605cca9567”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/rb-safe_yaml-1.0.5-hc42de5b_0.tar.bz2”h0Œ@d79aa7055b848d52f16ae12c677f842d80f8782dee7b97266b31590b9afe4442”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×YÝðÄœhEJW hFˆubh)”}”(hŒsuitcase-mongo”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)suitcase-mongo-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ ab4a00887397ad7cd5a049f7a9d3b977”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/suitcase-mongo-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9a669dba92784dc959c6bf7eff7a7a3464675e461e6e26d9863fd5aa41d49469”h2NhNh3Œevent-model >=1.8.0”Œpymongo”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØY†ki‰7hEMqYhFˆubh)”}”(hŒ
r-sylly.en”h#Œ0.1_3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-sylly.en-0.1_3-r40hc72bb7e_1.tar.bz2”h+Œ 0455a0b99bb50f1a9fad32cf690dab2b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sylly.en-0.1_3-r40hc72bb7e_1.tar.bz2”h0Œ@ef174707b36d091bdd6555c120f6b76614dde74567e52d3b65d1853db5bd874a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-sylly”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*ììîéyhEJŒ hFˆubh)”}”(hŒr-dendroextras”h#Œ0.2.3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ-r-dendroextras-0.2.3-r41hc72bb7e_1003.tar.bz2”h+Œ 524b10598cf6d68e11754d1422b1fb82”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-dendroextras-0.2.3-r41hc72bb7e_1003.tar.bz2”h0Œ@ac9556022fb8ecb0d58b4b5c91abb01852d3a2ef30b614ea511737d01292dd59”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ‹›ùÛhEMÛÍhFˆubh)”}”(hŒ
r-emstreer”h#Œ3.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-emstreer-3.0.0-r40hc72bb7e_0.tar.bz2”h+Œ 9e8be697a6959edeb1ef9a2188ebc51e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-emstreer-3.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@ca9a503f0c3d0bada0714eac059bc67305eee2b42717bb989f7b1eb8b2b4addf”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bbmisc”Œ	r-ggplot2”Œr-mlpack”Œr-scatterplot3d”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡¥§VhEM˜ÁhFˆubh)”}”(hŒr-invariantcausalprediction”h#Œ0.8”h%Œr40h6115d3f_1”h'Khhh(h)hŒ5r-invariantcausalprediction-0.8-r40h6115d3f_1.tar.bz2”h+Œ c445edeefb07b982aa075ea06beb4de5”h.Œchttps://conda.anaconda.org/conda-forge/noarch/r-invariantcausalprediction-0.8-r40h6115d3f_1.tar.bz2”h0Œ@f23a0adad72b1fc8c5e9c6575e1c7bb0b33283bbbb125d7e75dab522a03e9e5f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-glmnet”Œr-mboost”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×¬¹BýÂhEJ7 hFˆubh)”}”(hŒr-argparser”h#Œ0.7.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-argparser-0.7.1-r41hc72bb7e_1.tar.bz2”h+Œ 1ee2afdd6e8445a51706c18715618321”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-argparser-0.7.1-r41hc72bb7e_1.tar.bz2”h0Œ@d9e16be0e93f3ec029ce6b145befc88603d1ad7990f49d0af12039d833890242”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒª7+hEJX$ hFˆubh)”}”(hŒspinners”h#Œ0.0.24”•$      h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$spinners-0.0.24-pyh9f0ad1d_0.tar.bz2”h+Œ 29cc8a6036f3ff8a4ff1eb5fffe8ea21”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/spinners-0.0.24-pyh9f0ad1d_0.tar.bz2”h0Œ@3bd4fe7028c3a29f40e2cdfa5563504a50df157c5dfe231ba3349b6b8e7cd602”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×±Û»…¸hEMhFˆubh)”}”(hŒ	lotterycn”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$lotterycn-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 3132d081517f5a73699cd87c37088567”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/lotterycn-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@b022c803abbd8b4433eac1e19ed838f0bd63f0cba7807ee814c10a3881aab748”h2NhNh3(Œnumpy >=1.21.6”Œpandas >=1.4.0”Œpython >=3.6”Œrequests >=2.28.1”Œtqdm >=4.64.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÝ¤ž?ß;hEM³-hFˆubh)”}”(hŒtopika”h#Œ0.2.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ!topika-0.2.2-pyhd3deb0d_0.tar.bz2”h+Œ ccb98f57e4c26bcbc712a9e3b3c22e25”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/topika-0.2.2-pyhd3deb0d_0.tar.bz2”h0Œ@d36dc8bbc18220ca686bf795e289dd039877739468b9c4c6e0edfd43a0d2307b”h2NhNh3(Œfurl”Œfuture”Œpika >=1.0.0”Œpython”Œ	shortuuid”Œsix”Œtornado >=4.0,<6.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×èïk“C–hEMxhFˆubh)”}”(hŒ
r-clustree”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-clustree-0.5.0-r41hc72bb7e_0.tar.bz2”h+Œ 11fe01cd007f146de4b094bc70099aa2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-clustree-0.5.0-r41hc72bb7e_0.tar.bz2”h0Œ@a22224316352e5416f320e2f822f8a71a6d644bc222235e05449492233b8fc99”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-dplyr”Œ	r-ggplot2”Œr-ggraph”Œ	r-ggrepel”Œr-igraph”Œr-rlang”Œr-tidygraph”Œ	r-viridis”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ­ê½íOßhEJ
 hFˆubh)”}”(hŒlibxshmfence-devel-cos7-aarch64”h#Œ1.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ8libxshmfence-devel-cos7-aarch64-1.2-hdf0574f_102.tar.bz2”h+Œ 64d26b14fd1a3faa81697f2b77091b39”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-aarch64-1.2-hdf0574f_102.tar.bz2”h0Œ@976fe13df6a935cc8241e52df21d7239bf253d7d730960ada506336480386100”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´¥ù‰7hEMhFˆubh)”}”(hŒ
opt_einsum”h#Œ3.3.0”h%Œpy_0”h'K hhh(h)hŒopt_einsum-3.3.0-py_0.tar.bz2”h+Œ 2847a212f677108a0212699258c958a5”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-py_0.tar.bz2”h0Œ@f050340ad4cfd7561b1ecbf161978958b87ade942b4b8df1ab8f6154037443a4”h2NhNh3Œnumpy”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ÆævÉhEMpÊhFˆubh)”}”(hŒmesa-libegl-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4mesa-libegl-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h+Œ d082cd03f1f67cb1a8f4d75b0d9a475d”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h0Œ@252a2a81a9fde0075c67551c3eae8d028dce0a496c4e09b406a87a557c631a2a”h2NhNh3Œ'mesa-libgbm-cos7-ppc64le ==18.3.4 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+{ŸPhEJ4¿ hFˆubh)”}”(hŒr-qiimer”h#Œ0.9.4”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ'r-qiimer-0.9.4-r40h6115d3f_1003.tar.bz2”h+Œ 050bca9cce0cfc04d534d7f5ace826e5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-qiimer-0.9.4-r40h6115d3f_1003.tar.bz2”h0Œ@e420696a877663f69ce4827b48563ad12003865e00198bb1f89cd01392ab7156”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-pheatmap”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬hj¼Ý/hEJ±ù hFˆubh)”}”(hŒr-mppa”h#Œ1.0”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ#r-mppa-1.0-r40h6115d3f_1002.tar.bz2”h+Œ 030ce71c0fcf92ebb83b218480a08d59”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mppa-1.0-r40h6115d3f_1002.tar.bz2”h0Œ@643a5f7fc7f30d5bbf307409c0bbec82024727a6ecaa7aadc79335ad8d9db148”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬¨æ­²-hEJ©U hFˆubh)”}”(hŒlibxdamage-cos6-x86_64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ2libxdamage-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ 3766eaf5105eb924da7941329f2ba2ef”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@3687e215839672aa1925722320ca2699eaf6522b06a2f3ea0fefea40734756aa”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0g3÷ÏhEM;hFˆubh)”}”(hŒnumactl-devel-cos7-x86_64”h#Œ2.0.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6numactl-devel-cos7-x86_64-2.0.12-h9b0a68f_1105.tar.bz2”h+Œ 88671ea548fa072f0dc8d428df203a66”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/numactl-devel-cos7-x86_64-2.0.12-h9b0a68f_1105.tar.bz2”h0Œ@9010921852695457188fcdd3095d413a8417c232cee3ddb6a393a02f95c0e457”h2NhNh3Œ(numactl-libs-cos7-x86_64 ==2.0.12 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2 and GPLv2”hBŒGPL2”hDGAØ@ml§PhEMþ…hFˆubh)”}”(hŒr-reportroc”h#Œ3.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-reportroc-3.6-r40hc72bb7e_0.tar.bz2”h+Œ 742caa713ceb47954cf98645f60ca2fe”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reportroc-3.6-r40hc72bb7e_0.tar.bz2”h0Œ@903489e073972ea18e58a53417583579b70efc28e505409d631c13bb84a120e0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-proc”Œr-vcd”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ«8ú-‘hhEMz¶hFˆubh)”}”(hŒsuitcase-json-metadata”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1suitcase-json-metadata-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ b8fa10bbca8c2a7ee85195b4215644af”h.Œ_https://conda.anaconda.org/conda-forge/noarch/suitcase-json-metadata-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d453a8d760b1ec1c6b6492b3658e69df9d60f94a59851c35773a3e72a1aa0807”h2NhNh3Œevent-model >=1.8.0”Œpython >=3.6”Œsuitcase-utils”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØY†Kl9XhEM«)hFˆubh)”}”(hŒfreetype-cos6-x86_64”h#Œ2.3.11”h%Œhdf0574f_1102”h'MNhhh(h)hŒ1freetype-cos6-x86_64-2.3.11-hdf0574f_1102.tar.bz2”h+Œ 96376a25c8658ad9e355750e8038744e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/freetype-cos6-x86_64-2.3.11-hdf0574f_1102.tar.bz2”h0Œ@1112df918639a7f86148b54293ffa955bf8526adc0648d3f159f09644d775b1c”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒFTL or GPLv2+”hBŒGPL2”hDGA×ÅiPhEJŸ hFˆubh)”}”(hŒlibxml2-devel-cos7-x86_64”h#Œ2.9.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libxml2-devel-cos7-x86_64-2.9.1-hdf0574f_1102.tar.bz2”h+Œ f760428fd36f8bf1aa24922fc3f9091d”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-x86_64-2.9.1-hdf0574f_1102.tar.bz2”h0Œ@df9a03705f65209dbf6bc16addc029213e1907ff0f2437e1944d6b07f4cf534e”h2NhNh3Œ"libxml2-cos7-x86_64 ==2.9.1 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åi¼ñXhEJC hFˆubh)”}”(hŒr-httpcache”h#Œ1.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-httpcache-1.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 5474f4cc9950aa87b5cbf0a09ebc2f36”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-httpcache-1.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@4372ea9b04db660d57b07834bde6115500013a8e60f244e4a88079cd98ddaa75”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-httr >=1.0.0”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+¹)ûçhEJm hFˆubh)”}”(hŒpasslib”h#Œ1.7.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"passlib-1.7.4-pyh9f0ad1d_0.tar.bz2”h+Œ 6a5c798488ee4f274ae8cb1ec1e57ce1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/passlib-1.7.4-pyh9f0ad1d_0.tar.bz2”h0Œ@cc71b3bd63072100a1576b003e4920bd8d5f15edc069fc40e9a16f914894b1d1”h2NhNh3(Œargon2-cffi >=19.2.0”Œbcrypt >=3.1.0”Œcryptography”Œpython”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×ßßâq‡hEJ­ hFˆubh)”}”(hŒlibxcomposite-devel-cos6-x86_64”h#Œ0.4.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ;libxcomposite-devel-cos6-x86_64-0.4.3-ha826a6f_1103.tar.bz2”h+Œ be2df60c1cb80747254a4e4a0cac035c”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos6-x86_64-0.4.3-ha826a6f_1103.tar.bz2”h0Œ@a805533fbceefa2232a892ed7d3acd96046acf6ada7679a4e21b3bb3f6168601”h2NhNh3Œ(libxcomposite-cos6-x86_64 ==0.4.3 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1»2-hEMh,hFˆubh)”}”(hŒlibxdamage-devel-cos7-aarch64”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ9libxdamage-devel-cos7-aarch64-1.1.4-h1795305_1101.tar.bz2”h+Œ 4c9954d619375fbf5be277eb72579bcd”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-aarch64-1.1.4-h1795305_1101.tar.bz2”h0Œ@9488fb817f8a0aed62888a3394d6bbb11361875be60c41ba36559ea44dfd9412”h2NhNh3Œlibxdamage-cos7-aarch64 1.1.4”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&]HƒhEMthFˆubh)”}”(hŒ
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Apache-2.0”hBŒAPACHE”hDGAØ¾qµäIºhEM·°hFˆubh)”}”(hŒ	rb-docopt”h#Œ0.6.1”h%Œ
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Apache-2.0”hBŒAPACHE”hDGAØ;Ê\-ÒòhEJãÀ hFˆubh)”}”(hŒfreetype-devel-cos7-ppc64le”h#Œ2.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4freetype-devel-cos7-ppc64le-2.8-h9d98e8f_104.tar.bz2”h+Œ 1d0ad6b4f9bdbcbd3cbf3b29d31da78b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos7-ppc64le-2.8-h9d98e8f_104.tar.bz2”h0Œ@37e0000ae354fb8e6b4fa8196edd82f3c7f1cc50d0267fafb1e0a0551ba03b47”h2NhNh3Œ!freetype-cos7-ppc64le ==2.8 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×É{S+hEJH hFˆubh)”}”(hŒr-mosaic”h#Œ1.8.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-mosaic-1.8.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 2a661476899dd37b4387a7d95c823d6a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mosaic-1.8.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@ab8ebd43b446af36a40a63fb4542738b9369306f0e6a29786344b37c5960c6dc”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-broom”Œr-dplyr”Œ
r-ggdendro”Œr-ggformula”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-ggridges”Œ
r-ggstance”Œr-glue”Œr-gridextra”Œr-lattice >=0.20_21”Œr-latticeextra”Œ	r-leaflet”Œr-mass”Œr-matrix”Œr-mosaiccore >=0.7.0”Œr-mosaicdata”Œr-readr”Œr-rlang >=0.4.7”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØËc‚÷ß;hEJh0 hFˆubh)”}”(hŒr-mustat”h#Œ1.7.0”h%Œr36_1002”h'Mêhhh(h)hŒr-mustat-1.7.0-r36_1002.tar.bz2”h+Œ 5600ff34ef2967b7ca2524aa075766de”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mustat-1.7.0-r36_1002.tar.bz2”h0Œ@b26ef74bdbff9d57558b06bada04c46d6e9b12761acb97c84c5c8ea0dcf9dd3b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬«| £×hEJn` hFˆubh)”}”(hŒpython-packit”h#Œ0.29”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'python-packit-0.29-pyhd8ed1ab_0.tar.bz2”h+Œ 7a469c2405b2f16d093df07f66da9f42”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/python-packit-0.29-pyhd8ed1ab_0.tar.bz2”h0Œ@d116f6c7856df18d9412ae22609cdbe545c2bacb6a86f5dcf02cb83145baff0c”h2NhNh3(Œglob2 >=0.4.1”Œpackaging >=16.8”Œpbr >=4.0,<5.6.0”Œpython”Œwheel >=0.24”t”h9h?h@ŒPublic Domain”hBŒPublic Domain”hDGAØ4~@/hEM [hFˆubh)”}”(hŒ	iprogress”h#Œ0.4”h%Œpy_0”h'K hhh(h)hŒiprogress-0.4-py_0.tar.bz2”h+Œ 22f9e61a9a61f5b16e061a4c57bd64e8”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/iprogress-0.4-py_0.tar.bz2”h0Œ@b4a5cef088353b761bc89b736c854f93f4af84a5eb6da2a5899b8f5afa19c1cd”h2NhNh3Œpython”Œsix”†”h9h?h@ŒGNU LGPL or BSD”hBŒLGPL”hDGA×‚* ?}hEM51hFˆubh)”}”(hŒatk-cos7-x86_64”h#Œ2.28.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ,atk-cos7-x86_64-2.28.1-h9b0a68f_1105.tar.bz2”h+Œ b5d4d41cb474c26f7d0c3c1694fc8021”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos7-x86_64-2.28.1-h9b0a68f_1105.tar.bz2”h0Œ@40bcaa27ea78a8397db97009053e26389bd791a12326bcdfe00d158a26470ad5”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@f1ù™šhEJxZ hFˆubh)”}”(hŒr-multigroup”h#Œ0.4.5”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-multigroup-0.4.5-r36h6115d3f_1.tar.bz2”h+Œ 3f7b678ad9441c7429b7d95c1e5de2b0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multigroup-0.4.5-r36h6115d3f_1.tar.bz2”h0Œ@5f90de5895953cf577cd5d0bad8191263e9fc4ee89501ed79ed0aefcedd276e0”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯Êƒ^hEJy hFˆubh)”}”(hŒperiodictable”h#Œ1.5.2”h%Œpy_0”h'K hhh(h)hŒ periodictable-1.5.2-py_0.tar.bz2”h+Œ d473b8e7254c36f3765bd6419f2dcee6”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/periodictable-1.5.2-py_0.tar.bz2”h0Œ@3b39da322631f4ef381eafb7f8b5149a3601c5dbe3d6e328055fb02ddc54c784”h2NhNh3Œnumpy”Œ	pyparsing”Œpython”‡”h9h?h@ŒPublic domain”hDGA×uÃéOPhEJç] hFˆubh)”}”(hŒr-bgmm”h#Œ1.8.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-bgmm-1.8.5-r41hc72bb7e_0.tar.bz2”h+Œ 2ce74be61e538ef43ae612d061d1e3bb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bgmm-1.8.5-r41hc72bb7e_0.tar.bz2”h0Œ@f5111b167a4c608e5056fec917a0e0b217e8713606fec18ebd63d51703b4e49c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ
r-combinat”Œ	r-lattice”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØXÌuU`BhEJÍ´ hFˆubh)”}”(hŒ	satsearch”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒsatsearch-0.1.0-py_0.tar.bz2”h+Œ 01fd74f385186b7113b44fd30506ef5f”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/satsearch-0.1.0-py_0.tar.bz2”h0Œ@41f9794c7ebbad38f669b014ec09fd050ce33db50bd6f565a5ab64b7a86d98b4”h2NhNh3Œpython”Œrequests >=2.11,<3”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖá©šÑ&éhEM;9hFˆubh)”}”(hŒ	r-solrium”h#Œ1.2.0”h%Œr40h785f33e_0”h'K hhh(h)hŒ%r-solrium-1.2.0-r40h785f33e_0.tar.bz2”h+Œ bba5c052e052175f55d570281c190a48”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-solrium-1.2.0-r40h785f33e_0.tar.bz2”h0Œ@2f16f69536af78091e3d9cb5185bb367a48ca225cdaa8d4e898a36df3095b0e3”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.4.0”Œr-dplyr >=0.5.0”Œr-jsonlite >=1.0”Œr-plyr >=1.8.4”Œr-r6”Œr-tibble >=1.4.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ)+U¬hEJ-o hFˆubh)”}”(hŒigor”h#Œ0.3”h%Œpy_1”h'Khhh(h)hŒigor-0.3-py_1.tar.bz2”h+Œ b56c553e4be038acaed6bc3141f8b8bc”h.ŒChttps://conda.anaconda.org/conda-forge/noarch/igor-0.3-py_1.tar.bz2”h0Œ@92b5d3955e11ed4ec3238464af7f051cb8abff78fea43afb1cb532213cec2435”h2NhNh3Œ
matplotlib”Œnumpy”Œpython”‡”h9h?h@ŒLGPL-3.0”hBŒLGPL”hEMí|hFˆubh)”}”(hŒ	r-ensurer”h#Œ1.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ&r-ensurer-1.1-r41hc72bb7e_1002.tar.bz2”h+Œ 7ea2cbe97622029bb31a310ac6a317c7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ensurer-1.1-r41hc72bb7e_1002.tar.bz2”h0Œ@ae558bf83025f2b3ecfbde93ffe2355700ec6f9634f13dac96b73d55aa6980ff”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ++«  ÅhEMÃÈhFˆubh)”}”(hŒcrossref_commons_py”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.crossref_commons_py-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 1aafb618efac923f3412d748e7b75c69”h.Œ\https://conda.anaconda.org/conda-forge/noarch/crossref_commons_py-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@e1e8605289452c3bdd71220af607f756b08cadfae2b18676b5be2c5621a02ebd”h2NhNh3Œ
python >=3”Œratelimit >=2.2.1”Œrequests >=2.18.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØXvïŸ|îhEM:9hFˆubh)”}”(hŒcpplint”h#Œ1.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cpplint-1.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0f8b9eea32364cb4269be8664280cc03”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cpplint-1.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6ead49bc261be766b6858bac0695b4e53ee555a31938963dd136b941b928b94c”h2NhNh3Œpython ==2.7.*|>=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ„Ýü ÅhEJ4 hFˆubh)”}”(hŒlibxext-cos7-aarch64”h#Œ1.3.3”h%Œ
h1341992_0”h'K hhh(h)hŒ-libxext-cos7-aarch64-1.3.3-h1341992_0.tar.bz2”h+Œ 5ae7434349f80ab11cb289ab40ae2d10”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-aarch64-1.3.3-h1341992_0.tar.bz2”h0Œ@fd788e6708a35ba9c98cc3f8001d5751f253621c19ba476b325521c575a9f600”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ZEæ±XhEMÑ•hFˆubh)”}”(hŒ
yaq-traits”h#Œ	2022.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)yaq-traits-2022.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ e4cc74a2ec65c39fbc156d5ba63665db”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/yaq-traits-2022.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@dc6ad0302675bc442d5b52d90cc9e765d112e1cb7a3c6735b20df87952323ecd”h2NhNh3(Œclick”Œcolorama”Œfastavro >=1.4.0”Œprettytable”Œpython >=3.6”Œtoml”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÛDÎÙhEMƒLhFˆubh)”}”(hŒsktime”h#Œ0.10.0”h%Œpyha4fad40_0”h'K hhh(h)hŒ"sktime-0.10.0-pyha4fad40_0.tar.bz2”h+Œ 679aff83e883e0a2fa95f0ef8a66c5d4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sktime-0.10.0-pyha4fad40_0.tar.bz2”h0Œ@d62aec5292ac11c6ae6fe55b392c0608c60c95a62c1decdafeef823ad6c496df”h2NhNh3(Œdeprecated >=1.2.13”Œnumba >=0.50,<0.55”Œnumpy >=1.21.5,<2.0a0”Œpandas >=1.1.0,<1.5”Œpython”Œscikit-learn >=0.24.0”Œstatsmodels >=0.12.1”t”h6(Œseaborn >=0.11.0”Œmatplotlib-base >=3.3.2”Œpmdarima >=1.8.0,!=1.8.1”Œstumpy >=1.5.1”Œscikit-posthocs >=0.6.5”Œtsfresh >=0.17.0”Œprophet >=1.0”Œhcrystalball >=0.1.9”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…ô·i‰7hEJYdT hFˆubh)”}”(hŒdistlib”h#Œ0.3.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"distlib-0.3.6-pyhd8ed1ab_0.tar.bz2”h+Œ b65b4d50dbd2d50fa0aeac367ec9eed7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/distlib-0.3.6-pyhd8ed1ab_0.tar.bz2”h0Œ@06eb7167d4d760b3b437a491e32ab5b3f89e2a18f023c117fe213b038d88538a”h2NhNh3Œpython 2.7|>=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÜFCÒòhEJÔ. hFˆubh)”}”(hŒ
r-xlsxjars”h#Œ0.6.1”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ&r-xlsxjars-0.6.1-r42hc72bb7e_4.tar.bz2”h+Œ 590dcf80af09e2ab249a7ec46fe62bef”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xlsxjars-0.6.1-r42hc72bb7e_4.tar.bz2”h0Œ@1a878765ad2e09d78c782f3fe4e40199fa999afcf158ea616cd6f4af0b642e40”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ
‡pQìhEJ–Ã hFˆubh)”}”(hŒr-rmeta”h#Œ3.0”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ$r-rmeta-3.0-r41hc72bb7e_1004.tar.bz2”h+Œ f54f2d7e235e701c1c59db637bb8c39f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmeta-3.0-r41hc72bb7e_1004.tar.bz2”h0Œ@0e66b9cb2ea91ace302be99298e755b4fffefc994d1c02903500e0ce912bbc91”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ´\ZhEJ=ê hFˆubh)”}”(hŒbehresp”h#Œ0.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#behresp-0.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ deb318911e83b52c5a25c6832dc35b56”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/behresp-0.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@393accc5d0f2a8dc6ba80582d0216bdcc1beda174ae099b1ba5417ed1296b70b”h2NhNh3Œpytest”Œpython >=3.6”Œtaxcalc >=3.0.0”‡”h9h?h@ŒCC0-1.0”hBŒPUBLIC-DOMAIN”hDGAØñHÓ•hEM=1hFˆubh)”}”(hŒnss-softokn-cos6-x86_64”h#Œ3.14.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3nss-softokn-cos6-x86_64-3.14.3-h9d98e8f_104.tar.bz2”h+Œ aeb223b33bb6f7919f33ed39d4f02ec4”h.Œahttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos6-x86_64-3.14.3-h9d98e8f_104.tar.bz2”h0Œ@ebd78a18d59502c4dac2c6ea9b24c3faa6b426506213b63fbfdd3c27f1981aed”h2NhNh3Œnspr-cos6-x86_64 >=4.10.6 *_104”Œ-nss-softokn-freebl-cos6-x86_64 >=3.14.3 *_104”Œ#nss-util-cos6-x86_64 >=3.15.1 *_104”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É{ò—hEJ*¿ hFˆubh)”}”(hŒr-smatr”h#Œ3.4_8”h%Œr351h6115d3f_0”h'K hhh(h)hŒ$r-smatr-3.4_8-r351h6115d3f_0.tar.bz2”h+Œ deb0c36ed3327b3579a426873dac81be”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-smatr-3.4_8-r351h6115d3f_0.tar.bz2”h0Œ@02fbd9c843c2d5693407aee1e065deecf79caf1709b6de79a3e07ebcc45d7dd8”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×H+å•OßhEJ’€ hFˆubh)”}”(hŒr-licors”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-licors-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 311c75d3c49edb8bbc925c890dbef422”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-licors-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@c16d4a700e6bb8508c66552de5d8aed0390c4db0fbaebfab300efd4a10bc3ba4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fields”Œr-fnn”Œr-locfit”Œr-matrix”Œ	r-mvtnorm”Œr-rcolorbrewer”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒnË3"ÑhEJ´X hFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-tfautograph-0.3.2-r42hc72bb7e_2.tar.bz2”h+Œ ca84d72cf56281b94d8d5a96c4008654”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r42hc72bb7e_2.tar.bz2”h0Œ@e7e4381ec82e357d0f7ae9b8b20b5875edfd070652ca5865b471b422321dc6e1”h2NhNh3Œr-backports”Œr-base >=4.2,<4.3.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑq{ƒSøhEJÐÍ hFˆubh)”}”(hŒpicosdk”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ picosdk-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ f066fa9da21529854f4fc5a3adff1f91”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/picosdk-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a4a9607942353ce674d4aa5218cecae9b189b4f7d5cf93d4a19017e27abe2a37”h2NhNh3Œnumpy >=1.12.1”Œpython >=2.7”†”h9h?h@ŒISC”hDGAØÍmrÜ›¦hEM[ÅhFˆubh)”}”(hŒdjango_polymorphic”h#Œ1.3”h%Œpy_0”h'K hhh(h)hŒ#django_polymorphic-1.3-py_0.tar.bz2”h+Œ 68ff29cb1f9db268c7c1b110c2dcd67f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/django_polymorphic-1.3-py_0.tar.bz2”h0Œ@ed569253afaf717d19ae435bc26eb75e98839b6480d7e3de1112339fdc030fdd”h2NhNh3Œdjango >1.8,<2.0”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEMc×hFˆubh)”}”(hŒnumpy_ringbuffer”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+numpy_ringbuffer-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 71b15cbfdc949c48f2b4ab31da1c1345”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/numpy_ringbuffer-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@8c32915f099527732dc79f100cca3add27469899c167059e35bd1b9796e46db0”h2NhNh3Œnumpy”Œpython >=2.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¯ºxÒ^5hEMg(hFˆubh)”}”(hŒr-ips”h#Œ0.0.11”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-ips-0.0.11-r36h6115d3f_1.tar.bz2”h+Œ e72c72f2095aca58d98c186e348776a2”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ips-0.0.11-r36h6115d3f_1.tar.bz2”h0Œ@240f7ebbe0fe30d0cb9c28023943999442ade93f2d3daa3a6f9ac169755e9220”h2NhNh3(Œr-ape”Œr-base >=3.6,<3.7.0a0”Œ
r-phangorn”Œr-plyr”Œr-seqinr”Œr-xml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬·µVhEJ«” hFˆubh)”}”(hŒr-shinypanel”h#Œ0.1.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-shinypanel-0.1.5-r42hc72bb7e_1.tar.bz2”h+Œ e418635b89a0b63344719c20fe604640”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinypanel-0.1.5-r42hc72bb7e_1.tar.bz2”h0Œ@4cc35affc229d2dbaf4ca1c6576cf4eb8bc8996886263d1205300ae9545500b9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œ
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=hEJé
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GPL (>= 2)”hBŒGPL3”hDGA×LÉì´jhEJsG hFˆubh)”}”(hŒ
flask_cors”h#Œ3.0.10”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ&flask_cors-3.0.10-pyhd3deb0d_0.tar.bz2”h+Œ f06be6d2d27dc3ea2b3da84ade76583c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/flask_cors-3.0.10-pyhd3deb0d_0.tar.bz2”h0Œ@0ffe072bf8b7bfdbb3a2e6f41cd65264259a92a77db3fb3ffc4e74f3eee2ea4d”h2NhNh3Œflask >=0.9”Œpython”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ýIÇ<¼jhEMñ:hFˆubh)”}”(hŒrsa”h#Œ3.4.2”h%Œpy_1”h'Khhh(h)hŒrsa-3.4.2-py_1.tar.bz2”h+Œ d9dbd2b9b4019012723e7abef5b6033c”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/rsa-3.4.2-py_1.tar.bz2”h0Œ@d136a05cfa3cc0a20f6b8dc5bfb5cc425c40bbf72d2aa64d8dffb653aba110f4”h2NhNh3Œpyasn1 >=0.1.3”Œpython”†”h9h?h@Œ
Apache 2.0”hDGAÖÑg%¸hEMzhFˆubh)”}”(hŒ	jina-perf”h#Œ3.7.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$jina-perf-3.7.7-pyhd8ed1ab_0.tar.bz2”h+Œ 9df961b129c3a809bf69b41ce03c733b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/jina-perf-3.7.7-pyhd8ed1ab_0.tar.bz2”h0Œ@dc658efe2f854d70ec236554e6ebb562b59095a6938d6c6272f8a687dd0d6a13”h2NhNh3(Œ__unix”Œdocarray >=0.13.14”Œgrpcio >=1.46.0”Œgrpcio-health-checking >=1.46.0”Œgrpcio-reflection >=1.46.0”Œnumpy”Œpackaging >=20.0”Œprometheus_client”Œprotobuf >=3.19.1,<=3.20.1”Œpython >=3.7”Œpyyaml >=5.3.1”Œuvloop”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¾ÁKXÄœhEJ[ì hFˆubh)”}”(hŒ	mir-flare”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$mir-flare-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 1d6e406f550da417f4cc4ef105c184a8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/mir-flare-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@9fa033abd6349cb4bc1c0f4a9983c0d54dd3bf319f4aa7f7817cb60dcec4fbed”h2NhNh3(Œase”Œipython”Œmemory_profiler”Œnbsphinx”Œnptyping”Œnumba”Œnumpy <=1.20.0”Œpymatgen <2021”Œpytest >=4.6”Œpytest-mock”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ{—›·;dhEJ®B hFˆubh)”}”(hŒr-ncar”h#Œ0.4.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-ncar-0.4.5-r42hc72bb7e_0.tar.bz2”h+Œ d781e0cbd442971ff0131b89601ca851”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ncar-0.4.5-r42hc72bb7e_0.tar.bz2”h0Œ@08dc6e63e85c768901a3ad91144212b45102d1e5c933e0631413905f06b18133”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-noncompart >=0.4.9”Œr-rtf”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ50ãThEJé hFˆubh)”}”(hŒr-futile.logger”h#Œ1.4.3”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ.r-futile.logger-1.4.3-r36h6115d3f_1003.tar.bz2”h+Œ 630c15a838114d2a09a3fab15bf436ab”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-futile.logger-1.4.3-r36h6115d3f_1003.tar.bz2”h0Œ@c561f64b2f6e916d913f988bfdebc7511f176d2ae914dea651c245a4bbf3e05b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-futile.options”Œr-lambda.r >=1.1.0”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGA×«áã•hEJó¯ hFˆubh)”}”(hŒcopy-jdk-configs-cos7-ppc64le”h#Œ3.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6copy-jdk-configs-cos7-ppc64le-3.3-h9d98e8f_104.tar.bz2”h+Œ 60b54ec890c00b172e8ed4f80e36a221”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-ppc64le-3.3-h9d98e8f_104.tar.bz2”h0Œ@d92a4db28eca99ec8629366ec2115eec73c93b4db1d9840d0f70cb5dead46dbc”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Éy!TÝ/hEM¼%hFˆubh)”}”(hŒr-aod”h#Œ1.3.2”h%Œr40ha770c72_0”h'K hhh(h)hŒ!r-aod-1.3.2-r40ha770c72_0.tar.bz2”h+Œ abd6f7630f194f2239438aaef662cfe6”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-aod-1.3.2-r40ha770c72_0.tar.bz2”h0Œ@8efd9b0af8f516325cef6bccab2ebfcd7757e8dee8c5527ac7aa30f802a31313”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ’g-hEJ¥™ hFˆubh)”}”(hŒr-momr”h#Œ1.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ r-momr-1.1-r40h6115d3f_1.tar.bz2”h+Œ 5ca9aca5aa0b2a34dba2283ebb638f37”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-momr-1.1-r40h6115d3f_1.tar.bz2”h0Œ@599cca7391747f40bc6c534a928ca9012c8c3a595956f9dc6df53743d448ad50”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-gplots”Œr-hmisc”Œ	r-nortest”t”h9hºh@ŒArtistic-2.0 (Restricts use)”hBŒOTHER”hDGA×¬©@/hEJV”e hFˆubh)”}”(hŒlibxdamage-cos7-ppc64le”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libxdamage-cos7-ppc64le-1.1.4-hdf0574f_1102.tar.bz2”h+Œ 8d130ddc12cdbe064a852ae212ec07ee”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-ppc64le-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@4e319ef76608f768c83db36e429aef6e44ca22f6ee3b430b34b39bda598da6f1”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+	à1'hEMüAhFˆubh)”}”(hŒkernda”h#Œ0.3.0”h%Œpy_1”h'Khhh(h)hŒkernda-0.3.0-py_1.tar.bz2”h+Œ 8977e0563e53e02bed37661b247804a9”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/kernda-0.3.0-py_1.tar.bz2”h0Œ@9b732ee0f8c52b9b8a75c9c173eb19613f7360c6d2692130011f11b92289864e”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-clause”hDGAÖÐFV7²hEMhFˆubh)”}”(hŒmesa-dri-drivers-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ9mesa-dri-drivers-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h+Œ 65e905eb64067abdaf1dedf67a36181c”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h0Œ@ef6649ba1239f553cfa0bda0c67a4acf140ddc334909599d14c8f546bc351702”h2NhNh3Œ"libdrm-cos7-ppc64le >=2.4.83 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+T„ÌÍhEJdœühFˆubh)”}”(hŒlibxtst-devel-cos7-aarch64”h#Œ1.2.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libxtst-devel-cos7-aarch64-1.2.3-h9b0a68f_105.tar.bz2”h+Œ d45043a1ecf54bc66619e1f38551534a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos7-aarch64-1.2.3-h9b0a68f_105.tar.bz2”h0Œ@6737d0be07d64a0a47b3fc97008c542b4e457bc4093b9307afff1e6583989d16”h2NhNh3Œ"libxtst-cos7-aarch64 ==1.2.3 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@_­¼záhEM‘2hFˆubh)”}”(hŒr-mefa”h#Œ3.2_8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-mefa-3.2_8-r41hc72bb7e_1.tar.bz2”h+Œ 99ce112b9688b91de04e544218c11169”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mefa-3.2_8-r41hc72bb7e_1.tar.bz2”h0Œ@6a1ebb10476938e488b9fe56c0a4fd1cbaebc8a3be34aedf3808c655da228322”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒRãÕhEJ hFˆubh)”}”(hŒ	r-rcircos”h#Œ1.2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-rcircos-1.2.2-r41hc72bb7e_1.tar.bz2”h+Œ 7c9f3892eefb66d52825e6f3ab820482”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rcircos-1.2.2-r41hc72bb7e_1.tar.bz2”h0Œ@157e569ab55a29115eea21324c9758388e37e3b0615f79d0a10e2f303979d4f3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ'íû÷ÏhEJ¢‘ hFˆubh)”}”(hŒaioeasywebdav”h#Œ2.4.0”h%Œpyha770c72_0”h'K hhh(h)hŒ(aioeasywebdav-2.4.0-pyha770c72_0.tar.bz2”h+Œ dd5bf8931da06c21f9ea03e9621acfc7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/aioeasywebdav-2.4.0-pyha770c72_0.tar.bz2”h0Œ@6b4ad9e87fe69564f50f6aab77d03b506996d7ca7e5089dd6beb862bb94708d3”h2NhNh3Œaiohttp”Œpython >=3.6”Œsetuptools-scm”‡”h9h?h@ŒISC”hDGAØb±qVéyhEMñ0hFˆubh)”}”(hŒ
allantools”h#Œ2019.9”h%Œpy_1”h'Khhh(h)hŒallantools-2019.9-py_1.tar.bz2”h+Œ 6e1b0a336f904b3a8e4e745ccc8220c5”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/allantools-2019.9-py_1.tar.bz2”h0Œ@4d33b817cac694d524dfb7bdb14a0c19153a2f5c86597a33c3cbe7be914a7914”h2NhNh3Œnumpy”Œpython”Œscipy”‡”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGA×aãå•VhEMn”hFˆubh)”}”(hŒr-climate4r.climdex”h#Œ0.2.2”h%Œr42ha770c72_1”h'Khhh(h)hŒ/r-climate4r.climdex-0.2.2-r42ha770c72_1.tar.bz2”h+Œ 3717da7b7411f2754f6f013c944ea14e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-climate4r.climdex-0.2.2-r42ha770c72_1.tar.bz2”h0Œ@17244b3873231067646a61226437858f90839de8cd17a7dd2ff110215cfe392b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-climdex.pcic >=1.1_6”Œ
r-magrittr”Œr-pcict”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯N´í‘hEJ¬T£ hFˆubh)”}”(hŒr-invariantcausalprediction”h#Œ0.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ5r-invariantcausalprediction-0.8-r42hc72bb7e_2.tar.bz2”h+Œ f3e5af6d5f22421a1e26d4c0c21ebccb”h.Œchttps://conda.anaconda.org/conda-forge/noarch/r-invariantcausalprediction-0.8-r42hc72bb7e_2.tar.bz2”h0Œ@30bd299ac150834932df884780c860d54413ece0c42f20a72e7fe1410a702f11”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-glmnet”Œr-mboost”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒê”záhEJ– hFˆubh)”}”(hŒ
r-wheatmap”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-wheatmap-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ c631e60ba3fed23ad491fcc838d27602”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wheatmap-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@f973afedb8be3374d96b4bac7fa541478b32eec7756d8d1b5eba5faf37e36839”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-colorspace”Œr-rcolorbrewer”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ†ùTÝ/hEJ”t hFˆubh)”}”(hŒ	r-aleplot”h#Œ1.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-aleplot-1.1-r42hc72bb7e_3.tar.bz2”h+Œ ba9eea29f797ccb97a6c07ae4420d411”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-aleplot-1.1-r42hc72bb7e_3.tar.bz2”h0Œ@8ed394437d54d3aa691ebf8c764e53cd797b5a1e63ed2dcf420807e82a52a317”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-yaimpute”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ¯iFvÉhEJ¾O
 hFˆubh)”}”(hŒp11-kit-trust-cos7-ppc64le”h#Œ0.23.5”h%Œha826a6f_103”h'Kghhh(h)hŒ6p11-kit-trust-cos7-ppc64le-0.23.5-ha826a6f_103.tar.bz2”h+Œ 18ef87cfd316a0e8422122fe87201c57”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-ppc64le-0.23.5-ha826a6f_103.tar.bz2”h0Œ@c57791557c20bd19e753cdceaba8c9b90bc13572667259bea702f03be98248ae”h2NhNh3Œ#p11-kit-cos7-ppc64le ==0.23.5 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ0hK•hEJ†r hFˆubh)”}”(hŒr-simplecache”h#Œ0.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-simplecache-0.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 3051b34901e202c5e2c030ca1c3e1b0b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-simplecache-0.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@cc9b64e6b945a4830dfe6419c972ace6ad57e37501180e36f3cf07d07423b5d7”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD-2-clause”hBŒBSD”hDGAØŸÈó¶hEJ½m hFˆubh)”}”(hŒoptimum-graphcore”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,optimum-graphcore-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ d58fa34640d796b412b95848c44afa77”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/optimum-graphcore-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@31b23ebb0aeb8e3c17058d42a39d30a8770ff7c0a9c379a3654e45bc9379229a”h2NhNh3(Œdatasets”Œoptimum”Œpillow”Œpython >=3.7”Œpytorch”Œscipy”Œsentencepiece”Œ
tokenizers”Œtransformers 4.20.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¾d‘Ä“hEJ>q hFˆubh)”}”(hŒr-tkrgl”h#Œ0.9”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ!r-tkrgl-0.9-r40hc72bb7e_1.tar.bz2”h+Œ 844de5d96d9b26cf19cd017ba74c14c1”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-tkrgl-0.9-r40hc72bb7e_1.tar.bz2”h0Œ@be3484dfbff207b48119798c0325e31b3fca7e576c163f1a37ffe49e693a802f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rgl >=0.100.38”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ,%ÚÝ/hEM—mhFˆubh)”}”(hŒ
r-cetcolor”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-cetcolor-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 800cc8bf432b3cbbc018a937ed0f1984”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cetcolor-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@89d59e6d504617654365a681e162334c71fc46d2b0a3404be9a2f2d2378616d9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒCC-BY-SA-4.0”hBŒCC”hDGAØÒœ9e‘hhEJŸ0 hFˆubh)”}”(hŒmesa-libgl-cos6-x86_64”h#Œ11.0.7”h%Œh1795305_1101”h'MMhhh(h)hŒ3mesa-libgl-cos6-x86_64-11.0.7-h1795305_1101.tar.bz2”h+Œ 84c3540201107d556ca842b1e496cc2f”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos6-x86_64-11.0.7-h1795305_1101.tar.bz2”h0Œ@3f1bd57783672cc26b35ef00d9d33eb2354b7b257300695f8fddd21566c74298”h2NhNh3Œlibdrm-cos6-x86_64 >=2.4.24”Œlibx11-cos6-x86_64 >1.6”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¥ÿ
=hEJÐ hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGAØ+åwKÇhEJ÷= hFˆubh)”}”(hŒ
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r-generics”Œr-misctools >=0.6_8”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ?Î‹¢~úhEJš¹ hFˆubh)”}”(hŒ	r-nortest”h#Œ1.0_4”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-nortest-1.0_4-r41hc72bb7e_1003.tar.bz2”h+Œ b6afc06692e4da1c9807773d4050f281”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-nortest-1.0_4-r41hc72bb7e_1003.tar.bz2”h0Œ@64557c704940938ed2281420993ed02cdacd2bb7ee225c443272bc4b5d7406d3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*Ýp•hEMuÕhFˆubh)”}”(hŒtransx2gtfs”h#Œ0.4.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&transx2gtfs-0.4.1-pyh9f0ad1d_0.tar.bz2”h+Œ 4c60067a4dc2d6d01599c6f9a94cc40e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/transx2gtfs-0.4.1-pyh9f0ad1d_0.tar.bz2”h0Œ@6fda6fa67a9cca4b3245e84e005238981f2e1f7fa1d57bf2c18789d06178e5f7”h2NhNh3(Œpandas”Œpyproj”Œpython”Œuntangle”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¿*'-hEJg hFˆubh)”}”(hŒr-mefa”h#Œ3.2_8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-mefa-3.2_8-r42hc72bb7e_1.tar.bz2”h+Œ 37cf05afa7e3f29bc4ba34cbd4b01885”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mefa-3.2_8-r42hc72bb7e_1.tar.bz2”h0Œ@77d3bcf45ba62859bf7a6c7fe151e04bde1f9dd64f2b628fc74e86e02f2a45dc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒRð  ÅhEJý hFˆubh)”}”(hŒlibglvnd-devel-cos7-ppc64le”h#Œ1.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7libglvnd-devel-cos7-ppc64le-1.0.1-h9b0a68f_1105.tar.bz2”h+Œ 0826e7d8f60a3d61f7f354e0b81a466b”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libglvnd-devel-cos7-ppc64le-1.0.1-h9b0a68f_1105.tar.bz2”h0Œ@d2fbe1029b117786f0b39b191efa1c4e1f43829b4195b48abbd98d49f314e728”h2NhNh3(Œ/libglvnd-core-devel-cos7-ppc64le ==1.0.1 *_1105”Œ$libglvnd-cos7-ppc64le ==1.0.1 *_1105”Œ(libglvnd-egl-cos7-ppc64le ==1.0.1 *_1105”Œ)libglvnd-gles-cos7-ppc64le ==1.0.1 *_1105”Œ(libglvnd-glx-cos7-ppc64le ==1.0.1 *_1105”Œ+libglvnd-opengl-cos7-ppc64le ==1.0.1 *_1105”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ@’(	º^hEM¼9hFˆubh)”}”(hŒ
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r-magrittr”Œr-rmarkdown”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ÿ×/PhEJ©h hFˆubh)”}”(hŒjupyter_client”h#Œ7.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)jupyter_client-7.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ bad4522cf4a022cb5500969ad67c3342”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@28979928ff2c0ba5b6080e8a751deb9bfac363e2e2199b8f8399868f05372d87”h2NhNh3(Œentrypoints”Œjupyter_core >=4.6.0”Œnest-asyncio >=1.5”Œpython >=3.6.1”Œpython-dateutil >=2.1”Œ
pyzmq >=13”Œtornado >=4.1”Œ	traitlets”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØW"Õ¡©ühEJ[ hFˆubh)”}”(hŒ	picwriter”h#Œ0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"picwriter-0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 1658a7c67bafc5de425f53b92a9280cc”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/picwriter-0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@04ec9d014503f497a380e5742860551108480212bf8c46e8c96650eb5189eabb”h2NhNh3Œgdspy”Œnumpy”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ¬ÞªûdZhEJ@ hFˆubh)”}”(hŒlibxrender-devel-cos7-ppc64le”h#Œ0.9.10”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:libxrender-devel-cos7-ppc64le-0.9.10-h9d98e8f_1104.tar.bz2”h+Œ 3073fd20935f03fc081332d2cb0f0334”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-ppc64le-0.9.10-h9d98e8f_1104.tar.bz2”h0Œ@9f2a33f9dc7210fc23e641622e46819852e4a74adc883ab0bd2ae6e74142de5c”h2NhNh3Œ'libxrender-cos7-ppc64le ==0.9.10 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É€5t1hEM!0hFˆubh)”}”(hŒgoogle-api-core”h#Œ2.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*google-api-core-2.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ 607bf4c8ecd3f9aaa43a8078583191f0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/google-api-core-2.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e43c594f7d46fba4ab05c7deca0d3f265c0bc33cdb20bb318f72944994f3e2bd”h2NhNh3(Œgoogle-auth >=1.25.0,<3.0dev”Œ)googleapis-common-protos >=1.56.2,<2.0dev”Œprotobuf >=3.15.0,<5.0.0dev”Œpython >=3.6”Œrequests >=2.18.0,<3.0.0dev”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ«à%‚MÓhEJÚ hFˆubh)”}”(hŒr-clipr”h#Œ0.8.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-clipr-0.8.0-r42hc72bb7e_1.tar.bz2”h+Œ 2ad256fa9cbfcab4dd913d863434fa93”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-clipr-0.8.0-r42hc72bb7e_1.tar.bz2”h0Œ@9f9bde9da17511c6ea7db6f4105916adf1b8e19c34a09596b05bbb5def3efc82”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐ5žC–hEJ’ hFˆubh)”}”(hŒkdtree”h#Œ0.16”h%Œpy_0”h'K hhh(h)hŒkdtree-0.16-py_0.tar.bz2”h+Œ 531a749bcb44b8db8ca871b8408330a4”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/kdtree-0.16-py_0.tar.bz2”h0Œ@c4dcb86f226adeba8deada62ffbf8717342a3f6a2ba1623abca4bf22d8659254”h2NhNh3Œpython”…”h9h?h@Œ
ISC (ISCL)”hBŒOTHER”hDGAÖû®$KSøhEM_'hFˆubh)”}”(hŒsk-dist”h#Œ0.1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sk-dist-0.1.9-pyhd8ed1ab_0.tar.bz2”h+Œ 2cdecef1804964a8473c7d33d836bea4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sk-dist-0.1.9-pyhd8ed1ab_0.tar.bz2”h0Œ@867079850647159165a7506fc59c01e433652c0f149fba6e73d32766d186fbbf”h2NhNh3(Œjoblib”Œnumpy”Œpandas >=0.17.0”Œpython >=3.5”Œscikit-learn >=0.20.0”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ó§ÅéÛ#hEM´hFˆubh)”}”(hŒr-opennlpdata”h#Œ1.5.3_4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-opennlpdata-1.5.3_4-r41hc72bb7e_1.tar.bz2”h+Œ a3db4116e1744e08bbbd92352aa3b000”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-opennlpdata-1.5.3_4-r41hc72bb7e_1.tar.bz2”h0Œ@67023d786b88db491cbd581c3602d9f454a1159eaa14c6569f7d4e92d4676251”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava >=0.6_3”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ‚-hEJ<xp hFˆubh)”}”(hŒwsproto”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"wsproto-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 00ba804b54f451d102f6a7615f08470d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/wsproto-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@66bd3f2db31fb62a2ff1f48d2c69ccdd2fa4467741149a0ad5c0bd097e0ac0e7”h2NhNh3Œh11 >=0.9.0,<1.0”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÁ’ixƒhEM›`hFˆubh)”}”(hŒlibxi-devel-cos7-ppc64le”h#Œ1.7.9”h%Œha826a6f_103”h'Kghhh(h)hŒ3libxi-devel-cos7-ppc64le-1.7.9-ha826a6f_103.tar.bz2”h+Œ b68bfe76b45e2ba521e48fc799574d5c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-ppc64le-1.7.9-ha826a6f_103.tar.bz2”h0Œ@875bcfeebdd7c8bd9df2ca2c149dd81a192513cfb25427b33a48a420cc2a70a2”h2NhNh3Œ libxi-cos7-ppc64le ==1.7.9 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2IºhEJ(u hFˆubh)”}”(hŒ
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r-sylly.en”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÑ¢·ˆõÃhEMi˜hFˆubh)”}”(hŒr-nardl”h#Œ0.1.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-nardl-0.1.6-r41hc72bb7e_1.tar.bz2”h+Œ 7db6d2912a5eb176665a8b0c46747849”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-nardl-0.1.6-r41hc72bb7e_1.tar.bz2”h0Œ@c21f4c5c7994b7a4e1b985695499c5f6685325646525b41b15f108789d64302e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ	r-formula”Œr-gtools”Œr-mass”Œr-strucchange”Œ	r-tseries”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓYëçmhEJ4§ hFˆubh)”}”(hŒr-plotwidgets”h#Œ0.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-plotwidgets-0.5.1-r42hc72bb7e_1.tar.bz2”h+Œ 3f1becd3e7f76c68210cc0958e83a71f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plotwidgets-0.5.1-r42hc72bb7e_1.tar.bz2”h0Œ@d311021a1df1a570e900759e09a3add2d9c88a8b418ebd7a9875e94d80906655”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ*!Û#hEJj˜ hFˆubh)”}”(hŒ
covseisnet”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%covseisnet-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 334c41c5d5173759ddb5aa3bd060e40f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/covseisnet-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@72b71b6b23c7f452e0a1ab781d0f8a3808dc75fada96e65694a5119001cfd4dd”h2NhNh3(Œnumpy >=1.22.0”Œobspy >=1.3.0”Œpython >=3.7”Œscipy”t”h9h?h@ŒLGPL-2.0-only”hBŒLGPL”hDGAØA—•ÂhEM;RhFˆubh)”}”(hŒpytest-runner”h#Œ6.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pytest-runner-6.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3056f6bfd156f865af4ead3a91066370”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pytest-runner-6.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c3a9e071477279f0516eb9ce5a9bfd0967490a82d2c6d0b79b09b990e1746da3”h2NhNh3Œpytest”Œpython >=3.7”Œ
setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ‡™w\)hEMn*hFˆubh)”}”(hŒr-cdft”h#Œ1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-cdft-1.2-r42hc72bb7e_1.tar.bz2”h+Œ e42f4de0b206009ff393c3603c80632f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cdft-1.2-r42hc72bb7e_1.tar.bz2”h0Œ@53d12bd841d1d38bb6451ca63c75ac7b6d9ac1bddce4bea222a570d08b198874”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒœSé&éhEMYžhFˆubh)”}”(hŒmurphy”h#Œ0.1”h%Œpy_1”h'Khhh(h)hŒmurphy-0.1-py_1.tar.bz2”h+Œ 48a623a4148ec5b19dfd17d4fd0ec896”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/murphy-0.1-py_1.tar.bz2”h0Œ@e0413201c92de0e14ce16593098982cdad26006dabe481dd06b1640cc7e05c2a”h2NhNh3Œ
matplotlib”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÖÓ^‚¬hEMaNhFˆubh)”}”(hŒentrypoints”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$entrypoints-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 3cf04868fee0a029769bd41f4b2fbf2d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@2ec4a0900a4a9f42615fc04d0fb3286b796abe56590e8e042f6ec25e102dd5af”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ~ï¹|ÌÍhEMï#hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r40h6115d3f_2.tar.bz2”h+Œ 90a0dabe5f84a1ba2394f22e9932f15b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r40h6115d3f_2.tar.bz2”h0Œ@f9e31e7a76115bb1a1f958cbf821f45ec6734fe2f4dcac91893205664ee47e40”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«Å@ƒhEJmõ hFˆubh)”}”(hŒflake8-self”h#Œ0.2.2”h%Œpy_0”h'K hhh(h)hŒflake8-self-0.2.2-py_0.tar.bz2”h+Œ c2172dccc2d319c0c2122c0959b0c2c9”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/flake8-self-0.2.2-py_0.tar.bz2”h0Œ@09a5d58770ca0a489e8c385cbc8e269da53142fb4c2316e8f8e355bcda751f83”h2NhNh3Œflake8”Œpython”†”h9h?h@ŒFreely Distributable”hDGAÖ¹ØíeVhEMhFˆubh)”}”(hŒr-xopen”h#Œ1.0.0”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ&r-xopen-1.0.0-r35h6115d3f_1001.tar.bz2”h+Œ 604406e83a2bb2f8ca2f4302517c762e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xopen-1.0.0-r35h6115d3f_1001.tar.bz2”h0Œ@eba375cc4c5bbc75b40014b29a466a0de712347215ceb80b8bd7a8014dbcb452”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-processx”†”h9hºh@ŒMIT”hBŒMIT”hDGA×K¼_õÃhEMxohFˆubh)”}”(hŒr-rfoc”h#Œ3.4_6”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ"r-rfoc-3.4_6-r40hc72bb7e_2.tar.bz2”h+Œ 88c4796bd7aaed4feefc68053e00504d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rfoc-3.4_6-r40hc72bb7e_2.tar.bz2”h0Œ@cfda99825e532aec18d43fb71ef8b1a9bee857de62959d7816a44009959473cd”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-geomap”Œr-mass”Œr-rpmg”Œr-rseis”Œ	r-splancs”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ÌNvÉhEJì*
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r-jsonlite”Œr-purrr”Œ	r-stringr”Œr-uuid”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×¬0ö…hEJH± hFˆubh)”}”(hŒr-fwdselect”h#Œ2.1.0”h%Œr41hc72bb7e_1005”h'Míhhh(h)hŒ*r-fwdselect-2.1.0-r41hc72bb7e_1005.tar.bz2”h+Œ fec696f6dddba3b6b55023eddde9d2b2”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-fwdselect-2.1.0-r41hc72bb7e_1005.tar.bz2”h0Œ@b2e815268e011a22ad56cd90dc822268f80cc4ed0fb3393e02a8beb638d3dd78”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cvtools”Œr-mgcv”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒx`‚JhEJ}å hFˆubh)”}”(hŒ	r-turboem”h#Œ2021.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-turboem-2021.1-r40hc72bb7e_0.tar.bz2”h+Œ f5d4789cd758152ab8af6baa58a68db4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-turboem-2021.1-r40hc72bb7e_0.tar.bz2”h0Œ@d5eb04d75349c8c1cbbb3460371549f7ee3a359c7ba11be31b05493df96e8916”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-doparallel”Œ	r-foreach”Œr-iterators”Œ
r-numderiv”Œ
r-quantreg”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØBã¨-hEJ^® hFˆubh)”}”(hŒcombo”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ combo-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ d9db825cbd3ba2194a024c935d483115”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/combo-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0d7292875d1542e62985870729ec020a1eb02a688b2c8e4ccc6f23aa3ee3faeb”h2NhNh3(Œjoblib”Œmatplotlib-base”Œnumba >=0.35”Œnumpy >=1.13”Œpyod”Œpython >=3.6”Œscikit-learn >=0.20”Œscipy”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¼B§­?}hEM=hFˆubh)”}”(hŒmesa-libegl-devel-cos7-aarch64”h#Œ18.3.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ;mesa-libegl-devel-cos7-aarch64-18.3.4-h9d98e8f_1104.tar.bz2”h+Œ 5e46548eb1994957bf2c5edc5592befe”h.Œihttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-aarch64-18.3.4-h9d98e8f_1104.tar.bz2”h0Œ@c9165eb99962d3656dd7b21992876f1fd755c6401302bdf701343303e1b3635b”h2NhNh3Œ+mesa-khr-devel-cos7-aarch64 ==18.3.4 *_1104”Œ(mesa-libegl-cos7-aarch64 ==18.3.4 *_1104”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×É€Â(ƒhEMvMhFˆubh)”}”(hŒsas7bdat”h#Œ2.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#sas7bdat-2.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 28820c8be46c8cdd01043717f2f46308”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sas7bdat-2.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@59b25525472f6ca1a4a9d64f975232afe471ec502e032410f1e6cce82e7767c8”h2NhNh3Œpython >=3.6”Œsix >=1.8.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØz{†VhEMÍGhFˆubh)”}”(hŒr-assertive.data.uk”h#Œ0.0_2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ0r-assertive.data.uk-0.0_2-r351h6115d3f_0.tar.bz2”h+Œ b50873ee8833f7862528d8dc6cdb7c8a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.uk-0.0_2-r351h6115d3f_0.tar.bz2”h0Œ@87f2c886f4aa00c4fa8157137cf0ce34ab8352593be8e81d421b471b76ea518d”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=3.5.1,<3.5.2.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¾ßåãThEM¢ÑhFˆubh)”}”(hŒorbit2-cos7-aarch64”h#Œ2.14.19”h%Œha826a6f_1103”h'MOhhh(h)hŒ1orbit2-cos7-aarch64-2.14.19-ha826a6f_1103.tar.bz2”h+Œ 7e0bd053437fa63e65c7f18844124263”h.Œ_https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-aarch64-2.14.19-ha826a6f_1103.tar.bz2”h0Œ@9d3b25769b08fb33ed9822673d496fff9a947653548c7af5042f150e48060eab”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Æ0‡"°!hEJ_Ñ hFˆubh)”}”(hŒeconml”h#Œ0.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!econml-0.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ facada67cee32f7f006626db671467cc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/econml-0.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@33598dce190b72435067ae470464590619d653ff76c2037efc225f80d7544055”h2NhNh3(Œjoblib >=0.13.0”Œ
keras <2.4”Œmatplotlib-base”Œnumba !=0.42.1”Œnumpy”Œpandas <1.1”Œpython >=3.6”Œpython-graphviz”Œscikit-learn >0.21.0”Œscipy !=1.4.0”Œsparse”Œstatsmodels >=0.9”Œtensorflow >1.10,<2.3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×øØ)%hEJrÕ hFˆubh)”}”(hŒr-aroma.apd”h#Œ0.6.1”h%Œr41ha770c72_0”h'K hhh(h)hŒ'r-aroma.apd-0.6.1-r41ha770c72_0.tar.bz2”h+Œ a17a1c0a047c75feec4f2c261ab69370”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-aroma.apd-0.6.1-r41ha770c72_0.tar.bz2”h0Œ@de48c75ef5cdbc329f1c13927147c778d57a49c9b689149bbb02c87479efb758”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-r.huge >=0.9.0”Œr-r.methodss3 >=1.7.0”Œr-r.oo >=1.18.0”Œr-r.utils >=1.34.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØµ1ç²hEJ  hFˆubh)”}”(hŒfs.webdavfs”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&fs.webdavfs-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ bb2a5c71cec7492e560544b45aff4fc5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/fs.webdavfs-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f951de84b5d6420a7613571c861be2798fe8ba792c851bd6212e5d0504434504”h2NhNh3(Œ
cachetools”Œfs >2.0”Œpython >=3.6”Œpython-dateutil”Œwebdavclient3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØeXÖ¸RhEM%2hFˆubh)”}”(hŒ
r-hypergeo”h#Œ1.2_13”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ+r-hypergeo-1.2_13-r351h6115d3f_1000.tar.bz2”h+Œ eea6f94f242009275610e97baf080d61”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-hypergeo-1.2_13-r351h6115d3f_1000.tar.bz2”h0Œ@b0c68ed918455c2e95f18b071fcf96abe1fea7da76d00778c918669d7223081f”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-contfrac >=1.1_9”Œ	r-desolve”Œr-elliptic >=1.3_5”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖü˜àë¥ãhEJ!¢ hFˆubh)”}”(hŒqsymm”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ qsymm-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ eefa7a0290c71b46ac701c0f3162e093”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/qsymm-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4f62af5ca0910874405876ecd3a375af61c4f758e12471af9104e76e3d0dac1e”h2NhNh3(Œnumpy >=1.16”Œpython >=3.7”Œscipy >=1.1”Œsympy >=1.3”Œ	tinyarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×è#’-hEJ‰ hFˆubh)”}”(hŒasammdf”h#Œ7.0.3”h%Œpyhe74cb21_0”h'K hhh(h)hŒ"asammdf-7.0.3-pyhe74cb21_0.tar.bz2”h+Œ 7927718121776861b9a97a8784f7f55d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/asammdf-7.0.3-pyhe74cb21_0.tar.bz2”h0Œ@a56386fd10f000947cd655982b53833e2a574b86992a381b7a9b004e244717f8”h2NhNh3(Œ	canmatrix”Œchardet”Œlxml”Œlz4”Œmatplotlib-base”Œnatsort”Œnumexpr”Œnumpy >=1.21”Œpandas”Œpython >=3.7”Œpython-isal”Œtyping_extensions”Œwheel”t”h9h?h@ŒLGPLv3+”hBŒLGPL”hDGAØu¥ÊÀƒhEJ„Í hFˆubh)”}”(hŒlibxtst-cos7-ppc64le”h#Œ1.2.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libxtst-cos7-ppc64le-1.2.3-ha826a6f_1103.tar.bz2”h+Œ 08e58617b91f935154cbc5df7622bb7a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxtst-cos7-ppc64le-1.2.3-ha826a6f_1103.tar.bz2”h0Œ@f74975628e3aebe903190e6328de95f3afae3bf7a6dca34b74df0fe4259f6626”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3…c÷ÏhEM"LhFˆubh)”}”(hŒlibselinux-cos7-ppc64le”h#Œ2.5”h%Œh1795305_101”h'Kehhh(h)hŒ0libselinux-cos7-ppc64le-2.5-h1795305_101.tar.bz2”h+Œ c994a648825f7aff6059d58097beeab9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-ppc64le-2.5-h1795305_101.tar.bz2”h0Œ@0b6ec42dea6f002546ea3c22ed388af84a9c70d1cd1838d7fe8bb71f6a7f208c”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Å%òÆ¨hEJu‘ hFˆubh)”}”(hŒmarkdown”h#Œ3.3.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#markdown-3.3.7-pyhd8ed1ab_0.tar.bz2”h+Œ 0a0bed31742342688a8570b3b8a50f36”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/markdown-3.3.7-pyhd8ed1ab_0.tar.bz2”h0Œ@4af5d3f376295753d787be5013900ebca572bd8f30d59e34fbae512ec414eb5e”h2NhNh3Œimportlib-metadata >=4.4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ2î/hEJŠ hFˆubh)”}”(hŒnetatmo-geopy”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(netatmo-geopy-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9dd2e3fd9256f6ec8d3ca8fdc3d660b8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/netatmo-geopy-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d598eed28816dc9da507a0fe9d11b6cbbf3420c66b78b523380e5f3bb9249afd”h2NhNh3(Œcontextily >=1.2.0,<2.0.0”Œ
fire 0.4.0”Œgeopandas >=0.10.2,<0.11.0”Œoauthlib >=3.1.1,<4.0.0”Œpython >=3.6,<4.0”Œ requests-oauthlib >=1.3.0,<2.0.0”Œschedule >=1.1.0,<2.0.0”Œtqdm >=4.62.3,<5.0.0”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ‘pŒƒ"ÑhEMÁxhFˆubh)”}”(hŒr-plsgenomics”h#Œ1.5_2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-plsgenomics-1.5_2-r36h6115d3f_1.tar.bz2”h+Œ 5d76a4afee0ad4fb90725bba1f37f890”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plsgenomics-1.5_2-r36h6115d3f_1.tar.bz2”h0Œ@c29fc4b623be02592510411c7c6c7a839a2dea062b8bd6bb4784f14f5c1ef988”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-boot”Œr-fields”Œr-mass”Œr-plyr”Œ
r-reshape2”Œr-rhpcblasctl”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬—´â°!hEJþÕ hFˆubh)”}”(hŒ
switcheroo”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%switcheroo-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5fe73888b9cfd82b4b80427cb1079620”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/switcheroo-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8f89cf4ef1f9424884ece29d971988b4e4ac54abd5c9aa6803b732661f7cea2f”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÊ³2éÊÁhEM!hFˆubh)”}”(hŒ
r-purbayes”h#Œ1.3”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ'r-purbayes-1.3-r40hc72bb7e_1002.tar.bz2”h+Œ b6f6c3536861b43a2c2e2000f5c51e3b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-purbayes-1.3-r40hc72bb7e_1002.tar.bz2”h0Œ@ba32bdbf961a07dfc0289421fa46936cc68f2702828d9431b0f6774a2e6266c9”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjags”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+G4t‹DhEM°¬hFˆubh)”}”(hŒr-rebus.unicode”h#Œ0.0_2”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ.r-rebus.unicode-0.0_2-r40h6115d3f_1002.tar.bz2”h+Œ 44a55a4fcbfc999aa6f2ee86b68deb4b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rebus.unicode-0.0_2-r40h6115d3f_1002.tar.bz2”h0Œ@b0418b407e3a77ccf290638a62db77b94d6ef212e7261844d6d74ccb89823295”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rebus.base >=0.0_2”†”h9hºh@ŒOther”hDGA×¬@œ©Û#hEJÁ( hFˆubh)”}”(hŒr-available”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-available-1.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 7b5e779e22da0f302ef01282f027f263”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-available-1.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@6de3de5a81f73b801107dffa471dcfde35b295ca0d9d51564d98a4a3f7e1f817”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-clisymbols”Œr-crayon”Œr-desc”Œr-glue”Œ
r-jsonlite”Œ	r-memoise”Œr-snowballc”Œr-stringdist”Œr-tibble”Œ
r-tidytext”Œr-udapi”Œr-yesno”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ²×:^5hEJí‚ hFˆubh)”}”(hŒ
r-spscomps”h#Œ0.3.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-spscomps-0.3.2.1-r40hc72bb7e_0.tar.bz2”h+Œ 2bf61da37401e0bf49775a53e8f869e2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-spscomps-0.3.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@464f3f36c04eae76e61ad5873c520a7d03140dc16c86d23271e0c73d141a5a6e”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-glue >=1.4.0”Œr-htmltools”Œ
r-magrittr”Œr-r6”Œr-shiny >=1.5.0”Œ
r-shinyace”Œr-shinytoastr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÀçmhEJµ¸ hFˆubh)”}”(hŒbetse”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ betse-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 40a1c8c822c56b76704fb34a8fa4f33b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/betse-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cbf237b64609b8bd5f6d34f9fac4d34024bc3c77c8a3c223a724c16e924ed5eb”h2NhNh3(Œbeartype >=0.10.0”Œdill >=0.2.3”Œdistro >=1.0.4”Œffmpeg”Œgraphviz >=2.38.0”Œmatplotlib-base >=3.3.4”Œnetworkx >=2.0”Œnumpy >=1.22.0”Œpillow >=5.3.0”Œpydot >=1.0.28”Œpyside2”Œpython >=3.8”Œruamel.yaml >=0.15.24”Œscipy >=0.12.0”Œsetuptools >=38.2.0”Œsix >=1.5.2”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÈî7Â=qhEJ hFˆubh)”}”(hŒr-multipanelfigure”h#Œ2.1.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ.r-multipanelfigure-2.1.2-r35h6115d3f_0.tar.bz2”h+Œ 6959609b91a9db4b98a9234500c0e87b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-multipanelfigure-2.1.2-r35h6115d3f_0.tar.bz2”h0Œ@72eca1c61a806a4f59f3cdf5099eb30b52a42e0c5267ad8fd3045de27aed8f49”h2NhNh3(Œr-assertive.base >=0.0_7”Œr-assertive.files >=0.0_2”Œr-assertive.numbers >=0.0_2”Œr-assertive.properties >=0.0_4”Œr-assertive.types >=0.0_3”Œr-base >=3.5,<3.6.0a0”Œr-ggplot2 >=2.2.1”Œr-gridgraphics >=0.3_0”Œr-gtable >=0.2.0”Œr-magick >=1.9”Œr-magrittr >=1.5”Œr-stringi >=1.2.3”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×˜ˆ{33hEJ* hFˆubh)”}”(hŒ	r-biomark”h#Œ0.4.5”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ(r-biomark-0.4.5-r36h6115d3f_1003.tar.bz2”h+Œ 4d4802e0452567242fb3ac513aa4c44a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-biomark-0.4.5-r36h6115d3f_1003.tar.bz2”h0Œ@183eb71e9d22eafea66ce67533bca9f0a4d947d8bd78c706f970f76cdbcfe875”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-glmnet”Œr-mass”Œr-pls”Œr-st >=1.1.6”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­*íVhEJ°ë hFˆubh)”}”(hŒr-getoptlong”h#Œ1.0.5”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ(r-getoptlong-1.0.5-r36hc72bb7e_0.tar.bz2”h+Œ c9fb2a1b179acfe624052d4547bc5d0f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-getoptlong-1.0.5-r36hc72bb7e_0.tar.bz2”h0Œ@7deacfa5a4ef17ca6845e1008dee25b5a90a067f8b42c6cae777ef154bff7fdc”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crayon”Œr-globaloptions >=0.1.0”Œr-rjson”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ö9þ	&éhEJ	Ç hFˆubh)”}”(hŒ	plottable”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$plottable-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ e9280d01147b451f91e3c2d4cd8d34d8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/plottable-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@3143e33fa426d60d2717dbdbdc0caa09a02cd1ca687a5da5af6ba50f390d7e1f”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œpillow”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÜ¥¸¸õÃhEM}ahFˆubh)”}”(hŒr-blandaltmanleh”h#Œ0.3.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-blandaltmanleh-0.3.1-r41hc72bb7e_1.tar.bz2”h+Œ 4205a6e8eca2fb84cbb4ee609c836f1e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-blandaltmanleh-0.3.1-r41hc72bb7e_1.tar.bz2”h0Œ@476f320a53fe7c8af13e340f881e21a04632be799d05fadd8fe32592115f8fe1”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ¢›%VhEJn‡ hFˆubh)”}”(hŒat-spi-devel-cos7-ppc64le”h#Œ1.32.0”h%Œha826a6f_103”h'Kghhh(h)hŒ5at-spi-devel-cos7-ppc64le-1.32.0-ha826a6f_103.tar.bz2”h+Œ 9f96a79e3294bf60695b4f6e4b7a7aff”h.Œchttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos7-ppc64le-1.32.0-ha826a6f_103.tar.bz2”h0Œ@52a3c02d0c7ebe7e446b3419b591bbb383a964e29d218433e34393c8338d082d”h2NhNh3(Œ"at-spi-cos7-ppc64le ==1.32.0 *_103”Œ%atk-devel-cos7-ppc64le >=1.29.2 *_103”Œ&gtk2-devel-cos7-ppc64le >=2.10.0 *_103”Œ'gtk2-devel-cos7-ppc64le >=2.24.31 *_103”Œ*libbonobo-devel-cos7-ppc64le >=2.4.0 *_103”Œ'orbit2-devel-cos7-ppc64le >=2.6.0 *_103”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2ŠMhEJ&p hFˆubh)”}”(hŒgtk2-cos7-x86_64”h#Œ2.24.31”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.gtk2-cos7-x86_64-2.24.31-h9b0a68f_1105.tar.bz2”h+Œ 9168ace7d589d5d8cae913ec15547795”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gtk2-cos7-x86_64-2.24.31-h9b0a68f_1105.tar.bz2”h0Œ@cd72f71e7c35149b5832df4cf9be3b8131067a32a55f4efec3532e40e5ca1b77”h2NhNh3(Œatk-cos7-x86_64 >=1.29.4 *_1105”Œ!glib2-cos7-x86_64 >=2.28.0 *_1105”Œ"libtiff-cos7-x86_64 >=3.6.1 *_1105”Œ'libxrandr-cos7-x86_64 >=1.2.99.4 *_1105”Œ!pango-cos7-x86_64 >=1.20.0 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@r68ƒhEJ ²= hFˆubh)”}”(hŒhvpy”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒhvpy-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1317b4e2fe84b76459a80d9b400d592f”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/hvpy-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9edaa50f90bf9f8c796fa1f96307ae12b6bbce3dd974102b4545af46daaf69c2”h2NhNh3Œpydantic”Œpython >=3.8”Œrequests”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÛ-œ‘hshEMçqhFˆubh)”}”(hŒdagster_gcp”h#Œ0.6.5”h%Œpy_0”h'K hhh(h)hŒdagster_gcp-0.6.5-py_0.tar.bz2”h+Œ b67c64e9e862e8a80c0443ecd865cda6”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/dagster_gcp-0.6.5-py_0.tar.bz2”h0Œ@eccae33741b877cc6a37c5f650d543eabaf695f730c4b432a55f7cb9d2b83a86”h2NhNh3(Œdagster”Œdagster_pandas”Œgoogle-api-python-client”Œgoogle-cloud-bigquery >=1.19”Œgoogle-cloud-storage”Œgoogle-resumable-media”Œoauth2client”Œpython”t”h9h?h@Œ
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r-sandwich”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ+m#dZhEJ hFˆubh)”}”(hŒr-aqp”h#Œ1.42”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-aqp-1.42-r41hc72bb7e_0.tar.bz2”h+Œ 475a2393fe743797c285436b4f6d3795”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-aqp-1.42-r41hc72bb7e_0.tar.bz2”h0Œ@490ee6565448aef1ee72c26bd27c7e0b8913988aaf7db1414b7f10e97d3697d8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-data.table”Œ	r-lattice”Œr-plyr”Œr-sp”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ•@Žp“uhEJ­2 hFˆubh)”}”(hŒpyspark”h#Œ3.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pyspark-3.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ dcb1819fc697b3d2638f7277eeb6051f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pyspark-3.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0bf7c38050ecae085e3a6a6930e52a02f01ba220dc038834372ba03d214eecc9”h2NhNh3(Œnumpy >=1.7”Œpandas >=0.23.2”Œpy4j 0.10.9”Œpyarrow >=0.15.1”Œpython >=3.7”t”h9h?h@Œ
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r-survival”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¡±Û¶FhEJ|š' hFˆubh)”}”(hŒquerystring_parser”h#Œ1.2.4”h%Œpy_0”h'K hhh(h)hŒ%querystring_parser-1.2.4-py_0.tar.bz2”h+Œ 0ebdca9b753c2e082e5b5ad06aa76b41”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/querystring_parser-1.2.4-py_0.tar.bz2”h0Œ@06977a9af6d8605fb6068d8af6bb9c1cb565f8f5e15aa6cf0fb94109d4148b54”h2NhNh3Œpython”Œrequests”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×Q	ªªÀƒhEM[(hFˆubh)”}”(hŒ
r-semtools”h#Œ0.5_6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-semtools-0.5_6-r41hc72bb7e_1.tar.bz2”h+Œ b31f1185a3c5d724d68617fdb4a082c1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-semtools-0.5_6-r41hc72bb7e_1.tar.bz2”h0Œ@070bd20c380ae38cc52a7856512ec5352cbf33f117fb2316c010719db58e0aaa”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lavaan >=0.6_5”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑxè–VhEJQ, hFˆubh)”}”(hŒcdsutils”h#Œ1.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#cdsutils-1.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 927d9331e75d912adab5b6082da0117a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cdsutils-1.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cc116ace27269c9d359d937a21778d1779357f54fe34690ab36e3a6819779a5e”h2NhNh3(Œezca”Œgpstime”Œmatplotlib-base”Œnumpy”Œpython >=3.5”Œpython-nds2-client”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÑ#ï*^5hEM´ÁhFˆubh)”}”(hŒalembic”h#Œ1.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"alembic-1.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9599028cbacf894eb273f63c20090793”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/alembic-1.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ab5c1814c5219ebe2174e656ee9cc55cdb6c0075c2a04beb8a3c213dee3be510”h2NhNh3(Œimportlib-metadata”Œimportlib_resources”Œmako”Œpython >=3.6”Œsqlalchemy >=1.3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥½Œ”ýôhEJ/" hFˆubh)”}”(hŒsysroot-cos6-x86_64”h#Œ2.12”h%Œ
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inflection”Œpython”Œpyyaml”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×µâmå`hEJŠÚ hFˆubh)”}”(hŒr-unireg”h#Œ1.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ%r-unireg-1.1-r41hc72bb7e_1003.tar.bz2”h+Œ a98e889fd8eee1832d2c0785cc838907”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-unireg-1.1-r41hc72bb7e_1003.tar.bz2”h0Œ@19cd42ef0b1cbf6023e51c10c060ba2d910a35f4f5fdd20c1227a630a36318ad”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dosefinding”Œr-mass”Œ	r-mvtnorm”Œ
r-quadprog”Œr-sel”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ+Ñû©ühEJ!; hFˆubh)”}”(hŒr-trimcluster”h#Œ0.1_5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-trimcluster-0.1_5-r42hc72bb7e_2.tar.bz2”h+Œ 710691272220fe9a2abb087fb245f75a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-trimcluster-0.1_5-r42hc72bb7e_2.tar.bz2”h0Œ@50a5556528f915c682c0663570a260dfc6bd4299717a8d8c698ed8c9c08db235”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑöhû•hEMj•hFˆubh)”}”(hŒimaxt-image”h#Œ0.17.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'imaxt-image-0.17.4-pyhd8ed1ab_0.tar.bz2”h+Œ 6e00fcc99102b7b6293a1b8b5879d72f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/imaxt-image-0.17.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e0fd4bc9fb89cfa871fe673d6ab956ea56b3d99dbaaf61d1a6494a164446d4a0”h2NhNh3(Œastropy”Œ	dask-core”Œdistributed”Œimagecodecs”Œnumpy”Œpython >=3.7”Œs3fs >=2022.2.0”Œscikit-image >=0.18”Œscipy”Œtifffile >=2021.7.2”Œxarray”Œ	xmltodict”Œxtiff”Œzarr”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ¿ØÙu²-hEM¼©hFˆubh)”}”(hŒlibudev-cos6-x86_64”h#Œ147”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,libudev-cos6-x86_64-147-h9d98e8f_104.tar.bz2”h+Œ 0808fc063fcd6582fc69a029c2437949”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libudev-cos6-x86_64-147-h9d98e8f_104.tar.bz2”h0Œ@2c4cae7a0f58dde6e05ec7b9e247a61f9cafaf953e7b4ab76b4c6d991c07b153”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉyíWÎÙhEM‘hFˆubh)”}”(hŒr-discriminer”h#Œ0.1_29”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ-r-discriminer-0.1_29-r40h6115d3f_1003.tar.bz2”h+Œ 96bd34fe0b20632ce2b1227649acd246”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-discriminer-0.1_29-r40h6115d3f_1003.tar.bz2”h0Œ@e63f9347abfd83dac1a8a1c88e104a265f43054b3928189629fdc3410902e04c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬áb»ohEJ¦ hFˆubh)”}”(hŒr-transformer”h#Œ2.1.5”h%Œr41ha770c72_1”h'Khhh(h)hŒ)r-transformer-2.1.5-r41ha770c72_1.tar.bz2”h+Œ f9895901908f1725bb3bc3faa000f070”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-transformer-2.1.5-r41ha770c72_1.tar.bz2”h0Œ@14922d8b49063342075fc11ec665e159aaa9e2d292ac07cddb8a2c9cc2e25bd1”h2NhNh3(Œr-abind”Œr-akima”Œr-base >=4.1,<4.2.0a0”Œr-fields”Œ	r-kohonen”Œ
r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ¨t¦éyhEJOË
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Apache-2.0”hBŒAPACHE”hDGAØÑyvK×
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GPL (>= 2)”hBŒGPL3”hDGAØK
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r-ggridges”Œr-gparotation”Œr-gridextra”Œr-gtable”Œr-knitr”Œr-lavaan”Œr-lme4”Œr-mass”Œr-mbess”Œr-minpack.lm”Œr-pander”Œr-plyr”Œr-psych”Œr-pwr”Œr-rcolorbrewer”Œr-rio”Œr-scales”Œr-scrt”Œr-suppdists”Œr-ufs >=0.0.1”Œ	r-viridis”Œr-xml”Œr-xtable”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×­*\)hEJAV hFˆubh)”}”(hŒr-listarrays”h#Œ0.3.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-listarrays-0.3.1-r40hc72bb7e_1.tar.bz2”h+Œ 6d214bdc8736d26665619b53c70229da”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-listarrays-0.3.1-r40hc72bb7e_1.tar.bz2”h0Œ@6eea92a143e92d6adcd9bb3b222d5a99b4dba442387fd08f5bbaea52d056df7e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+"õixÕhEJÎ hFˆubh)”}”(hŒ	r-lassopv”h#Œ0.2.0”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ)r-lassopv-0.2.0-r351h6115d3f_1000.tar.bz2”h+Œ d573f4ad30680c41e3a737094dbee6cb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-lassopv-0.2.0-r351h6115d3f_1000.tar.bz2”h0Œ@aec28c62b024fe09ad961c368957e0a1ba8a276aeb7e8a12ad9cf3fd73c8cadf”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-lars”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×
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r-powerlaw”h#Œ0.70.6”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-powerlaw-0.70.6-r40hc72bb7e_1.tar.bz2”h+Œ 95baf8ed57553010197013521a8f3005”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-powerlaw-0.70.6-r40hc72bb7e_1.tar.bz2”h0Œ@e3a177fc1cabd4d7d398ab4faf9b9b04a804b3f41fcd9e3d62a11302d12af1cc”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-pracma”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ+äÖhEJÂª2 hFˆubh)”}”(hŒcif2cell”h#Œ2.0.0a3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%cif2cell-2.0.0a3-pyhd8ed1ab_0.tar.bz2”h+Œ dd0c517a2b661a43fc2c33157964bc30”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/cif2cell-2.0.0a3-pyhd8ed1ab_0.tar.bz2”h0Œ@fe879040e07af57fdb8d022486538b6d6f0dbe946f906d652324dcca61157adb”h2NhNh3Œpycifrw”Œpython >=3.6”†”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ•äZJhEJL3 hFˆubh)”}”(hŒr-downloader”h#Œ0.4”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ)r-downloader-0.4-r36h6115d3f_1003.tar.bz2”h+Œ 819ec0022718b87c713836d9737e182a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-downloader-0.4-r36h6115d3f_1003.tar.bz2”h0Œ@5717d08319b7fbca8e0ec296ea908c7afe306eadabe667e3e772b5a9c6d1238b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-digest”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«Ô98bNhEM†hFˆubh)”}”(hŒclick-loglevel”h#Œ0.4.0.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/click-loglevel-0.4.0.post1-pyhd8ed1ab_0.tar.bz2”h+Œ 23b30d1ab942509a3d0920201cc8e5be”h.Œ]https://conda.anaconda.org/conda-forge/noarch/click-loglevel-0.4.0.post1-pyhd8ed1ab_0.tar.bz2”h0Œ@c4a9d890693266ad1016239ff04b229437085efd078ef98869b1862fd5078431”h2NhNh3Œ	click >=6”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ/+ÆVhEM²)hFˆubh)”}”(hŒlibxdamage-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxdamage-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h+Œ ef497613c5c20131b5a4d2ac363082c7”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h0Œ@2ccb14b6363e958e0c1ebd307759253d5f2de0fcb37ed61ba80f82cc600b7e50”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/b?+hEMoDhFˆubh)”}”(hŒ	perl-carp”h#Œ1.50”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ'perl-carp-1.50-pl5321hd8ed1ab_0.tar.bz2”h+Œ bdddc03e28019b902da71b722f2288d7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/perl-carp-1.50-pl5321hd8ed1ab_0.tar.bz2”h0Œ@1981e31113e1e77a2cdc13db657c636f047cd3be2a64d9a0bffac03c5427c1bd”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-exporter”Œperl-extutils-makemaker”‡”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØcV& ƒhEMñVhFˆubh)”}”(hŒr-coda”h#Œ0.19_4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-coda-0.19_4-r40hc72bb7e_0.tar.bz2”h+Œ 108eaaabb8b404b66a83fe5265bd8945”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-coda-0.19_4-r40hc72bb7e_0.tar.bz2”h0Œ@f5821b97a1d215cfc824c8d5918cf8b78701464e2c9e0450b79215e15d30a9b5”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-lattice”†”h9hºh@Œ
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pds4_tools”h#Œ1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pds4_tools-1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 228fb5fa9843c34870213e19f00a6dba”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pds4_tools-1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@04c4b242fcd87dd5f13515144cfdd7accac98921419666fbb8c78f31e0b59b67”h2NhNh3Œnumpy”Œpython >=2.6”Œtk”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ SJ2=qhEJ G hFˆubh)”}”(hŒlibsepol-cos7-x86_64”h#Œ2.5”h%Œh1795305_1101”h'MMhhh(h)hŒ.libsepol-cos7-x86_64-2.5-h1795305_1101.tar.bz2”h+Œ 38c543bb5b9c8a2bb00405b031229580”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-x86_64-2.5-h1795305_1101.tar.bz2”h0Œ@abc5b643e190a26c260b6affc3c0e1545f5a9a82042a31d84e06e569d6996c35”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å&²n˜hEJvf hFˆubh)”}”(hŒ	wordninja”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$wordninja-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ dbf243e143ba2d93b2cab56ee8184407”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/wordninja-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@86fd239ccd6fca15c03935ab3b4e94f0dba838e2fef4a8fb49ce1f246f190c70”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØw)óQÊÁhEJþk hFˆubh)”}”(hŒr-fabricatr”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-fabricatr-1.0.0-r41hc72bb7e_0.tar.bz2”h+Œ 628d092fe68a1e2635ac47f0440b2445”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fabricatr-1.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@c2120f5f3a5e0ddd54aa47cc1cda0d15012793c3a752157887920661e66c65eb”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rlang >=1.0.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ¯&QXhEJhf hFˆubh)”}”(hŒjsanimation”h#Œ0.1”h%Œpy_1”h'Khhh(h)hŒjsanimation-0.1-py_1.tar.bz2”h+Œ 20c3e5035521553340e07836f3ddd637”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/jsanimation-0.1-py_1.tar.bz2”h0Œ@8c25fa6de6a67ee9b0bf7261a805248c5e72d316bc82f0a464fc85af783e117d”h2NhNh3Œ
matplotlib”Œpython”†”h9h?h@ŒBSD 2-Clause”hDGAÖÐSb~{hEM¢/hFˆubh)”}”(hŒclumper”h#Œ0.2.15”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#clumper-0.2.15-pyhd8ed1ab_0.tar.bz2”h+Œ bc9642bdb39d2594ffca990d4c4ba3eb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/clumper-0.2.15-pyhd8ed1ab_0.tar.bz2”h0Œ@4f85ebb7cbffcada9e2245e43bfcc0161d63c80b4f167bbed0d40b4156df3e9e”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØXþÇ¥`BhEM{PhFˆubh)”}”(hŒ
r-ldrtools”h#Œ0.2_1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-ldrtools-0.2_1-r42hc72bb7e_2.tar.bz2”h+Œ 4547ddb0e856b15440be544641ce7fe3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ldrtools-0.2_1-r42hc72bb7e_2.tar.bz2”h0Œ@681620da37c7c9fa1d09cb79a02fd4b6500a4911eb39ef8b8dcd87c5442434e7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒZŸ¾hEMJËhFˆubh)”}”(hŒlibxinerama-devel-cos6-x86_64”h#Œ1.1.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ8libxinerama-devel-cos6-x86_64-1.1.3-h9b0a68f_105.tar.bz2”h+Œ 1af3bbd7575cf72339391f08a37218e2”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos6-x86_64-1.1.3-h9b0a68f_105.tar.bz2”h0Œ@63d1a897d8f1f9d4a1943c1c31f9c009a73a56efbf06d9246c5f83bf96a11a17”h2NhNh3Œ%libxinerama-cos6-x86_64 ==1.1.3 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\ƒohEM7(hFˆubh)”}”(hŒnumactl-cos7-aarch64”h#Œ2.0.12”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0numactl-cos7-aarch64-2.0.12-h9d98e8f_104.tar.bz2”h+Œ e0f068c56b1fb00b082d6d7eeaec2845”h.Œ^https://conda.anaconda.org/conda-forge/noarch/numactl-cos7-aarch64-2.0.12-h9d98e8f_104.tar.bz2”h0Œ@3506dfd955e968ef48e2816515df3d3ff49b0ca2cb8e8a2ff0f84bb95aba2ec8”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×â6MÒòhEJ¼H hFˆubh)”}”(hŒsysroot-cos6-x86_64”h#Œ2.12”h%Œ
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r-multiroc”h#Œ1.1.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ)r-multiroc-1.1.1-r36h6115d3f_1002.tar.bz2”h+Œ 8dd76922c75a3b727d59d69e0ea78e4a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r36h6115d3f_1002.tar.bz2”h0Œ@a5ba9d61196dfe9816f3c4655e8f33523c954f58fca99d6cc5a5108d8b3b196d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-boot”Œ
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r-magrittr”Œ
r-mapplots”Œr-padr”Œr-rcolorbrewer”Œr-scales”Œr-sm”Œr-sp”Œr-specsverification”Œr-transformer >=2.0.0”Œr-verification”Œ	r-vioplot”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒÑöÛ#hEJEõ+hFˆubh)”}”(hŒ	r-propcis”h#Œ0.3_0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ(r-propcis-0.3_0-r35h6115d3f_1002.tar.bz2”h+Œ 8c9d22ab1ccb411683472219691a1a13”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-propcis-0.3_0-r35h6115d3f_1002.tar.bz2”h0Œ@475c9a7860d960719be3c39c22411de4451492621692e3bcd3f076c96c1f56a0”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGA×LÀ!hshEJÓ¨ hFˆubh)”}”(hŒgtk2-cos7-ppc64le”h#Œ2.24.31”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/gtk2-cos7-ppc64le-2.24.31-h9b0a68f_1105.tar.bz2”h+Œ 65cf8d75c9132d1e3e534f1bd51a08ce”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gtk2-cos7-ppc64le-2.24.31-h9b0a68f_1105.tar.bz2”h0Œ@7550937832a1deeddf38ba5091aa67745b9083711324f064a97510ae70464146”h2NhNh3(Œ atk-cos7-ppc64le >=1.29.4 *_1105”Œ"glib2-cos7-ppc64le >=2.28.0 *_1105”Œ#libtiff-cos7-ppc64le >=3.6.1 *_1105”Œ(libxrandr-cos7-ppc64le >=1.2.99.4 *_1105”Œ"pango-cos7-ppc64le >=1.20.0 *_1105”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@’*N¸RhEJ> hFˆubh)”}”(hŒ	rb-docopt”h#Œ0.5.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ"rb-docopt-0.5.0-hd4c1694_0.tar.bz2”h+Œ cdb4688f4c9eaa67c80aea92815264d7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-docopt-0.5.0-hd4c1694_0.tar.bz2”h0Œ@4a882a8e506d4d45e3cf53dd13ab3fabec32c8f4bd9b32ae5e84c51d60890686”h2NhNh3Œrb-json >=1.6.5,<2”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×]º©%hEMˆzhFˆubh)”}”(hŒ
r-ldrtools”h#Œ0.2_1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-ldrtools-0.2_1-r40hc72bb7e_1.tar.bz2”h+Œ ad3d3ceacf95e8703b9bb9422473107b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ldrtools-0.2_1-r40hc72bb7e_1.tar.bz2”h0Œ@f201fe2ec93906dccda034e5e526c05c571c94950a7dc2065295a01218279727”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+#N¸RhEMpÆhFˆubh)”}”(hŒrb-jekyll-seo-tag”h#Œ2.6.1”h%Œ
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r-maptools”Œr-png”Œr-sf”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×QíÁG®hEJàº
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
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r-sinaplot”h#Œ1.1.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-sinaplot-1.1.0-r41hc72bb7e_2.tar.bz2”h+Œ 9cedac554e62664538e0f9dfdd5ced84”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sinaplot-1.1.0-r41hc72bb7e_2.tar.bz2”h0Œ@6e911cf9b2f84ffa96bf6a623a9052232d9b8eff6c65893d63eb58b6c774d738”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plyr >=1.8.4”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒQÞ5?hEJ9y hFˆubh)”}”(hŒr-oro.nifti”h#Œ0.11.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-oro.nifti-0.11.4-r42hc72bb7e_0.tar.bz2”h+Œ 790790fd94c982361599c1ad093aa3dd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-oro.nifti-0.11.4-r42hc72bb7e_0.tar.bz2”h0Œ@b01cf3af5272a5ff80e3340d24d98677427170840e71ca05be72dab1a8e1bf58”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-bitops”Œr-rnifti >=0.9.0”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØØb‚áHhEJ1_ hFˆubh)”}”(hŒr-dbplot”h#Œ0.3.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-dbplot-0.3.3-r41hc72bb7e_1.tar.bz2”h+Œ 8dbb612e19342ca8772d80064fac9355”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dbplot-0.3.3-r41hc72bb7e_1.tar.bz2”h0Œ@4f71db0f310c1bf58923e23ac5ea850abefb8e9ee53682fc151d5172c4c04f60”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7”Œ	r-ggplot2”Œr-purrr”Œr-rlang >=0.4”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+ÅìN¸RhEJpš hFˆubh)”}”(hŒvincent”h#Œ0.4.4”h%Œpy_1”h'Khhh(h)hŒvincent-0.4.4-py_1.tar.bz2”h+Œ 082d436cd013869ce52835805839fc6e”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/vincent-0.4.4-py_1.tar.bz2”h0Œ@c195eeec39e482d0351f544d7e51d7f0a01afae86df3fac7becde67e3852eeab”h2NhNh3Œpandas”Œpython”Œ
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r-survival”†”h9hºh@Œ
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r-pheatmap”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ0•hEJ`  hFˆubh)”}”(hŒuncommitted”h#Œ2.4”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ$uncommitted-2.4-pyhd3deb0d_0.tar.bz2”h+Œ 8f7725b05e753a6b0ca3eb57351bffa9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/uncommitted-2.4-pyhd3deb0d_0.tar.bz2”h0Œ@6e5dd9346874d260f8c5c253bcf08bfdfd65c4d32b44b98803944f340e18afe8”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ÿ–ÿ hEMX@hFˆubh)”}”(hŒcups-libs-cos6-x86_64”h#Œ1.4.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1cups-libs-cos6-x86_64-1.4.2-h9d98e8f_1104.tar.bz2”h+Œ 3453d9dfedde16c014a88c7ff87ea41a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos6-x86_64-1.4.2-h9d98e8f_1104.tar.bz2”h0Œ@5dc32bfc541ff51461b47977a1f9e79bc15b5cb58ca86a47f63af7c8c32d3fab”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É{3ä¬hEJCš hFˆubh)”}”(hŒtqdm”h#Œ4.30.0”h%Œpy_0”h'K hhh(h)hŒtqdm-4.30.0-py_0.tar.bz2”h+Œ f17292434efc37485e6f2f4634dc76cf”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/tqdm-4.30.0-py_0.tar.bz2”h0Œ@7f2dcf5cc5f5025269a7af5f29615da5e105ddecf39ac341798a82f2c4020872”h2NhNh3Œpython”…”h9h?h@ŒMPLv2.0, MIT”hBŒMIT”hDGA×xr«…hEMJ›hFˆubh)”}”(hŒnss-softokn-freebl-cos6-x86_64”h#Œ3.14.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;nss-softokn-freebl-cos6-x86_64-3.14.3-h9b0a68f_1105.tar.bz2”h+Œ 78dac45750819616c66bca35817c82c8”h.Œihttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos6-x86_64-3.14.3-h9b0a68f_1105.tar.bz2”h0Œ@c05bf04f37f5b3f2e13c85021f020efb773dd9b39a9681ad97ef93221fcb2b89”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@UÆ
ÀƒhEJù= hFˆubh)”}”(hŒr-drr”h#Œ0.0.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-drr-0.0.4-r41hc72bb7e_1.tar.bz2”h+Œ c808965ceecb2b5b21570d327c19af0a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-drr-0.0.4-r41hc72bb7e_1.tar.bz2”h0Œ@7f9d00fbef37b39a3cfc0e7d16647870c73f7d9730dc59e51f4a593ac54b77e4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cvst”Œ	r-kernlab”Œr-matrix”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+þ{hEJ®¿ hFˆubh)”}”(hŒuncertainties”h#Œ3.1.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(uncertainties-3.1.7-pyhd8ed1ab_0.tar.bz2”h+Œ fc7c5aa3e77ce6934e3f90121e0ab176”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/uncertainties-3.1.7-pyhd8ed1ab_0.tar.bz2”h0Œ@00ca0686d334125f19af49119219233806efa261283bd790f97cf2497b8f5edd”h2NhNh3Œfuture”Œnumpy”Œ
python >=3”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ«Û¦a™šhEJÍ0 hFˆubh)”}”(hŒnss-softokn-cos7-aarch64”h#Œ3.44.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5nss-softokn-cos7-aarch64-3.44.0-h9d98e8f_1104.tar.bz2”h+Œ c6e5b69bb812808cf6dcd2c8d131057e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-aarch64-3.44.0-h9d98e8f_1104.tar.bz2”h0Œ@198bcbc6c818447faa36ce6822609574e61dc29ac319637ec57075df6e544fa0”h2NhNh3(Œ!nspr-cos7-aarch64 >=4.21.0 *_1104”Œ/nss-softokn-freebl-cos7-aarch64 >=3.44.0 *_1104”Œ%nss-util-cos7-aarch64 >=3.44.0 *_1104”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Éñ›t¼hEJû hFˆubh)”}”(hŒ
pydatamail”h#Œ0.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pydatamail-0.0.10-pyhd8ed1ab_0.tar.bz2”h+Œ f8df13a79308bff5fafd34f64db7cc02”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pydatamail-0.0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@835d64f6af23e10e3af5b9e5cd5213a6b54b02cbb7e10f87c0259b361ff48b60”h2NhNh3(Œmatplotlib-base >=3.5.2”Œnumpy >=1.23.1”Œpandas >=1.4.3”Œpython >=3.6”Œsqlalchemy >=1.4.40”Œtqdm >=4.64.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ½ Ø—¾whEMƒ,hFˆubh)”}”(hŒshared-memory-dict”h#Œ0.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-shared-memory-dict-0.7.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3da415933d3b3b600dad51ba613046a6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/shared-memory-dict-0.7.2-pyhd8ed1ab_0.tar.bz2”h0Œ@711a7bff021265cc8af1fa01e64438e9492880908b02c14a855357ff155213b9”h2NhNh3Œpython >=3.8,<4.0”…”h6Œdjango >=3.0.8,<4.0.0”Œaiocache >=0.11.1,<0.12.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÂ¿GJŸ¾hEM4hFˆubh)”}”(hŒlibxshmfence-cos7-aarch64”h#Œ1.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libxshmfence-cos7-aarch64-1.2-h9d98e8f_104.tar.bz2”h+Œ 553284c4bc27e6c4d8182c998ae655d6”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-aarch64-1.2-h9d98e8f_104.tar.bz2”h0Œ@e59b1789fe037a60cfaad3e542526915f8c10c17193432e91f3879521f386c2a”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉysMÓhEMÍ"hFˆubh)”}”(hŒr-sparsepca”h#Œ0.1.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-sparsepca-0.1.2-r40hc72bb7e_1.tar.bz2”h+Œ ecde175c6ba1629a194fd93f8f25bfd3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepca-0.1.2-r40hc72bb7e_1.tar.bz2”h0Œ@2b5cd2a79f5ed90baa8731631f535292f9bf77fb265b60e81a91ca64adbc0751”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rsvd”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+ÕÂhEJã hFˆubh)”}”(hŒ
typedframe”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%typedframe-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ d9826655dff4eb49ccd5f37301bb0d75”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/typedframe-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@53c23681ae4db755f0c2476c461e4b88c6101e397b238873058ac4646eaafeee”h2NhNh3Œnumpy”Œpandas”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ²öhÜ9XhEM„(hFˆubh)”}”(hŒr-upsetr”h#Œ1.4.0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ$r-upsetr-1.4.0-r36h6115d3f_2.tar.bz2”h+Œ 68f262362d852c68d957fd43fbaec19f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-upsetr-1.4.0-r36h6115d3f_2.tar.bz2”h0Œ@7a9a2de38d4eb88377a72ee8302e1cafaa1bc981b0bedfd579a333084dc524d5”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬ˆ¿záhEJkƒA hFˆubh)”}”(hŒqiskit-ignis”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'qiskit-ignis-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1614b2c3d1bbf4fc9ab7d662ce522275”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/qiskit-ignis-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@37ca8994a81a418f8ec163e9dba8da3bdb7d3813eee1369b86ce22a5ba89310b”h2NhNh3(Œnumpy >=1.13”Œpython >=3.6”Œqiskit-terra >=0.15.1”Œretworkx >=0.8.0”Œscipy >=0.19,!=0.19.1”Œsetuptools >=40.1.0”t”h6Œcvxpy >=1.0.15”Œmatplotlib-base >=2.1”Œscikit-learn >=0.17”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¡G´¶FhEJAø hFˆubh)”}”(hŒr-loader.ecoms”h#Œ1.4.6”h%Œr36ha770c72_0”h'K hhh(h)hŒ*r-loader.ecoms-1.4.6-r36ha770c72_0.tar.bz2”h+Œ cfad58c1b01581d12731bd7f4477a1ab”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-loader.ecoms-1.4.6-r36ha770c72_0.tar.bz2”h0Œ@d1a181ab4cf67fb4e31be8dd649afb3c1fbd73753ad10f1fd387404b80108d55”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-loader >=1.4.5”Œr-loader.java >=1.0.0”Œr-rcurl”Œr-rjava”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ òÉQ%hEJt hFˆubh)”}”(hŒh5pickle”h#Œ0.4.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#h5pickle-0.4.2-pyh9f0ad1d_0.tar.bz2”h+Œ b251ad302583de47c4fb2667f51810df”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/h5pickle-0.4.2-pyh9f0ad1d_0.tar.bz2”h0Œ@d4c887abb8792529872337e72648fa5684352c3b39d81afa5a7adf7fef6a399b”h2NhNh3Œ
cachetools”Œh5py”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×á·ï?PhEM&hFˆubh)”}”(hŒp11-kit-cos7-ppc64le”h#Œ0.23.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1p11-kit-cos7-ppc64le-0.23.5-h9b0a68f_1105.tar.bz2”h+Œ b4d2bb5bb963aff31b22c0a19d7f17c7”h.Œ_https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-ppc64le-0.23.5-h9b0a68f_1105.tar.bz2”h0Œ@775a3579a7eb237eeaca678c63f70bf65f5a9f219d68e1bc3496821c71c2ec9f”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@ˆ£§+hEJ= hFˆubh)”}”(hŒr-ggalt”h#Œ0.4.0”h%Œr41ha770c72_3”h'Khhh(h)hŒ#r-ggalt-0.4.0-r41ha770c72_3.tar.bz2”h+Œ f24d5b2c737a7de445c8d023ad9e92fe”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggalt-0.4.0-r41ha770c72_3.tar.bz2”h0Œ@35548b60a5b2e518bf7c8a99eaaf93ff6abb9e520a4dbd3f12b4aa1a56886810”h2NhNh3(Œr-ash”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-extrafont”Œr-ggplot2 >=2.2.1”Œr-gtable”Œr-kernsmooth”Œr-maps”Œr-mass”Œr-plotly >=3.4.1”Œr-proj4”Œr-rcolorbrewer”Œr-scales”Œr-tibble”t”h9hºh@ŒAGPL”hBŒAGPL”hDGAØÒwµ·PhEJ5;$ hFˆubh)”}”(hŒr-r.huge”h#Œ0.9.0”h%Œr36_1003”h'Mëhhh(h)hŒr-r.huge-0.9.0-r36_1003.tar.bz2”h+Œ 73308e427c0a92c4229ba428fc843a86”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-r.huge-0.9.0-r36_1003.tar.bz2”h0Œ@d0c59e6d9de12650a6d15f80469582b0d63cecfbfccc2ebf99d473ec89023e89”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-r.methodss3 >=1.7.0”Œr-r.oo >=1.18.0”Œr-r.utils >=1.34.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGA×¬y®—hEJùŒ hFˆubh)”}”(hŒlibxext-devel-cos7-aarch64”h#Œ1.3.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libxext-devel-cos7-aarch64-1.3.3-h9b0a68f_105.tar.bz2”h+Œ dc794047832c0d21b3436cdbe94b7b05”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-aarch64-1.3.3-h9b0a68f_105.tar.bz2”h0Œ@b6216809c40f0dfa4eab8e7022d1682989ab4541b89cb6dd2402842d7177d70f”h2NhNh3Œ"libxext-cos7-aarch64 ==1.3.3 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^¡º^5hEJï hFˆubh)”}”(hŒr-funr”h#Œ0.3.2”h%Œr35_1001”h'Méhhh(h)hŒr-funr-0.3.2-r35_1001.tar.bz2”h+Œ e10d203ff99d06cf5334696f1b53540c”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-funr-0.3.2-r35_1001.tar.bz2”h0Œ@309b4448d1e5b1e3a015d498221ea7a4036fee6da1e827ceed6201552884e753”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Mý`BhEMS‹hFˆubh)”}”(hŒ
fenics-ufl”h#Œ2019.1.0”h%Œpy_10”h'K
hhh(h)hŒ!fenics-ufl-2019.1.0-py_10.tar.bz2”h+Œ 10a1d6647975fc9f5ae087477ceb2a94”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2019.1.0-py_10.tar.bz2”h0Œ@43f3974c78b0cc7c27a1ef7a06111744711f50a1ed520cfb5a692b4e8b1c1085”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×¾¹OßhEJš hFˆubh)”}”(hŒlibxcomposite-cos7-x86_64”h#Œ0.4.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libxcomposite-cos7-x86_64-0.4.4-ha826a6f_1103.tar.bz2”h+Œ 9904917847c8636d536682b6b39c1205”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-cos7-x86_64-0.4.4-ha826a6f_1103.tar.bz2”h0Œ@571d36a1d442eb8d9304ea296816636d2f0562fa4cfd23ab7b18620f186eddb9”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/‘féyhEMjIhFˆubh)”}”(hŒr-bazar”h#Œ1.0.11”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-bazar-1.0.11-r36h6115d3f_1.tar.bz2”h+Œ c4249c82bfba6e71dc9a79dcb769b627”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bazar-1.0.11-r36h6115d3f_1.tar.bz2”h0Œ@ed36fed59661d77af8a4502b0f4774a74479a9b9b61ddd95019aab12eea165c5”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-kimisc”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«ü%ïKÇhEJ<ÿ hFˆubh)”}”(hŒr-manipulate”h#Œ1.0.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ+r-manipulate-1.0.1-r42hc72bb7e_1004.tar.bz2”h+Œ bebef9f137d47614e68c7a4626a7deaf”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-manipulate-1.0.1-r42hc72bb7e_1004.tar.bz2”h0Œ@ea8a63fbb92057b659dde111215c532045e70c75dcbf797e0050573206dd9c56”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒSrö{hEM1åhFˆubh)”}”(hŒheapdict”h#Œ1.0.1”h%Œpy_0”h'K hhh(h)hŒheapdict-1.0.1-py_0.tar.bz2”h+Œ 77242bfb1e74a627fb06319b5a2d3b95”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/heapdict-1.0.1-py_0.tar.bz2”h0Œ@37e5013a0bfbd5d446b06d125b2a9ba2de0e65a9195f0ef0aecd8d9da1355d17”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×c?˜ÒñªhEM[hFˆubh)”}”(hŒ	r-simcomp”h#Œ3.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ#r-simcomp-3.3-r35h6115d3f_0.tar.bz2”h+Œ ae52d7cdf5497560bf480e2cf7338cc4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-simcomp-3.3-r35h6115d3f_0.tar.bz2”h0Œ@ce64c9189d843aaaae11e6f02ba14c7753611d6bd7b8cd76fc5b5ca9960159e7”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-mratios”Œ
r-multcomp”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×]-Ùè“uhEJø hFˆubh)”}”(hŒlibuuid-cos7-ppc64le”h#Œ2.23.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ1libuuid-cos7-ppc64le-2.23.2-ha826a6f_1103.tar.bz2”h+Œ ea2fbaabe524aa97d810253c855b4a84”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-ppc64le-2.23.2-ha826a6f_1103.tar.bz2”h0Œ@4828b4b372d20141d03b208da5f39278df075777160a41f3f50664a3e4136631”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ{CdZhEM6<hFˆubh)”}”(hŒr-assertive.data”h#Œ0.0_3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ,r-assertive.data-0.0_3-r42hc72bb7e_3.tar.bz2”h+Œ 239166b642be684fd7f56bd66d28f931”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.data-0.0_3-r42hc72bb7e_3.tar.bz2”h0Œ@b350f7f142cebdef545f57e7c89675c96aa11898c41030c06ee95ea6a687fff1”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.2,<4.3.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ?Uö$ÝhEJ› hFˆubh)”}”(hŒr-miniui”h#Œ0.1.1.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ)r-miniui-0.1.1.1-r36h6115d3f_1001.tar.bz2”h+Œ ce1cdc72e154a75716e4e22184ad641f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-miniui-0.1.1.1-r36h6115d3f_1001.tar.bz2”h0Œ@d675b7a89fb47b6dd9d53805714bceae253def23136050183d37a4dd9283383d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-htmltools >=0.3”Œr-shiny >=0.13”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×KÞa¯+hEMÌhFˆubh)”}”(hŒr-tsibbledata”h#Œ0.4.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-tsibbledata-0.4.1-r40hc72bb7e_0.tar.bz2”h+Œ de8a8c57e491b46ed6ad972d74f41d1d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tsibbledata-0.4.1-r40hc72bb7e_0.tar.bz2”h0Œ@7344fd95b772e2d4dd439aa404e7079bc4a7cbe5bb03d9d6f69bc1300d215853”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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r-text2vec”Œr-tfse”Œr-tibble”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGA×dÄŒÝ/hEJ~  hFˆubh)”}”(hŒmesa-libegl-cos7-aarch64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ5mesa-libegl-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ 5e5045e5e9cfe76713f881dd6d3a05fb”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@46823e5632640f350f44a9c48c44583e507906a1bb41c6fac19a1d0111566f90”h2NhNh3Œ(mesa-libgbm-cos7-aarch64 ==18.3.4 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3„IºhEJH° hFˆubh)”}”(hŒnss-util-cos7-ppc64le”h#Œ3.44.0”h%Œh1795305_1101”h'MMhhh(h)hŒ2nss-util-cos7-ppc64le-3.44.0-h1795305_1101.tar.bz2”h+Œ 89575acdb7171b5d2d22208f5ed8a339”h.Œ`https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-ppc64le-3.44.0-h1795305_1101.tar.bz2”h0Œ@03f18fba25a5d49070d72ca2417a8fa9b6c5f83460a74dce3186124ef586d517”h2NhNh3Œnspr-cos7-ppc64le >=4.21.0”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇ‘ØbNhEJ»` hFˆubh)”}”(hŒr-batchjobs”h#Œ1.9”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-batchjobs-1.9-r40hc72bb7e_0.tar.bz2”h+Œ 01ad79b241ec120d4a6ee10dd3509e9c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-batchjobs-1.9-r40hc72bb7e_0.tar.bz2”h0Œ@551a4ed29e6f052aa4850d8edd26889b811ac9b0375faa4b8a5bd492f21d85fe”h2NhNh3(Œr-backports >=1.1.1”Œr-base >=4.0,<4.1.0a0”Œr-bbmisc >=1.9”Œr-brew”Œr-checkmate >=1.8.0”Œr-data.table >=1.9.6”Œr-dbi”Œr-digest”Œr-rsqlite >=1.0.9011”Œr-sendmailr”Œr-stringi >=0.4_1”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØŽ=ÀhbhEJmÙ hFˆubh)”}”(hŒloprop”h#Œ0.3.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!loprop-0.3.5-pyhd8ed1ab_0.tar.bz2”h+Œ a12985a5309aec464e91d4abf832b3b9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/loprop-0.3.5-pyhd8ed1ab_0.tar.bz2”h0Œ@1cd8ab46e1811a2a528aeff3a2e19137fcb77387255e0f689c91eaa66141e4b9”h2NhNh3(Œblocked-matrix-utils”Œdaltools”Œh5py”Œnumpy”Œpython >=3.6”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØZ_CÜ¬hEM}ŠhFˆubh)”}”(hŒr-coenocliner”h#Œ0.2_3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-coenocliner-0.2_3-r40hc72bb7e_0.tar.bz2”h+Œ ee157b6cf294d678ee84a272137f7397”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-coenocliner-0.2_3-r40hc72bb7e_0.tar.bz2”h0Œ@a0bf15faaf0980208488df58bbb17bcf5a6474a18bcb4348dc096f32bd796a8b”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ
Z!XhEJ\ hFˆubh)”}”(hŒexecnet”h#Œ1.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"execnet-1.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0e521f7a5e60d508b121d38b04874fb2”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/execnet-1.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1900bbc1764d01405e55be2e369d1b830fb435eb0f27c57033372c60f34c675c”h2NhNh3Œpython 2.7|>=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ1šœ’~úhEM·‚hFˆubh)”}”(hŒfreetype-cos7-ppc64le”h#Œ2.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.freetype-cos7-ppc64le-2.8-h9d98e8f_104.tar.bz2”h+Œ 431da423f5207f5571940686c0dc51f0”h.Œ\https://conda.anaconda.org/conda-forge/noarch/freetype-cos7-ppc64le-2.8-h9d98e8f_104.tar.bz2”h0Œ@9bb7c800d8eaef809a8590b52a59f6ea81a1dc9f4d03bcea39c7350dab0bf88c”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×ÉyÙ7LhEJmT hFˆubh)”}”(hŒpytest-repeat”h#Œ0.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pytest-repeat-0.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 654827090748fa1cf4a375df7d99fcaf”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pytest-repeat-0.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3d61e4d411fb32e0750843f2a3744174acc73feb51a4a45ebdb8c67dbb1f1120”h2NhNh3Œpytest >=3.6”Œpython >=3.6”†”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAØŽ$ )xÕhEMhFˆubh)”}”(hŒcelery-eternal”h#Œ0.1.1”h%Œpy_0”h'K hh•@      h(h)hŒ!celery-eternal-0.1.1-py_0.tar.bz2”h+Œ 2943dfd7fc962981839422e89e6b4809”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/celery-eternal-0.1.1-py_0.tar.bz2”h0Œ@16c2c9a65061e00d59c5e6f6d3b6336fffcb1df32a7ece46b15edb7954e682d0”h2NhNh3(Œcelery >=4.1.0”Œcelery-singleton >=0.1.1”Œpython”Œredis-py >=2.10.5”t”h9h?h@ŒGPLv2+”hBŒGPL”hDGA×`æ6'|îhEMŠ<hFˆubh)”}”(hŒr-qdapdictionaries”h#Œ1.0.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ.r-qdapdictionaries-1.0.7-r42hc72bb7e_1.tar.bz2”h+Œ 14200f7a3c9a5bd6029da5b8e22c2a26”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-qdapdictionaries-1.0.7-r42hc72bb7e_1.tar.bz2”h0Œ@28a3857d022d7c800e311ef5102b928d5a94f516f8e1bd161f9a5fd0ac241f81”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ“åOßhEJóZ! hFˆubh)”}”(hŒr-vip”h#Œ0.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-vip-0.3.2-r42hc72bb7e_1.tar.bz2”h+Œ 85bd7c0dc2db7d3736959c63588e4758”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vip-0.3.2-r42hc72bb7e_1.tar.bz2”h0Œ@40f8739cc16a31f6e8549417ade30c04c57e7ec1d8ad260686cf59bfb2649d25”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=0.9.0”Œr-gridextra”Œ
r-magrittr”Œr-modelmetrics”Œr-pdp”Œr-plyr”Œr-tibble”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ“ö,Ý/hEJŠÌ+ hFˆubh)”}”(hŒlibxkbcommon-cos7-ppc64le”h#Œ0.7.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libxkbcommon-cos7-ppc64le-0.7.1-h9d98e8f_104.tar.bz2”h+Œ 94c3c80ea3009c84a0c07aa0bf0e48d3”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-cos7-ppc64le-0.7.1-h9d98e8f_104.tar.bz2”h0Œ@90b78efea97dd12088c95488e8ec78d6febee721f511f0aab389ae6c134adca7”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ó”ÍVhEJž hFˆubh)”}”(hŒjax-cfd”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"jax-cfd-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ ee5202377dfdcf73088be014ad8b3acd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/jax-cfd-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a24bd95147e4a3e1d7db69073307f3dafea1dde1abdccd2a035ebe9ba374292b”h2NhNh3(Œjax”Œnumpy”Œpython >=3.0”Œscipy”Œ	tree-math”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ·ýHhEJd× hFˆubh)”}”(hŒcups-devel-cos7-aarch64”h#Œ1.6.3”h%Œha826a6f_103”h'Kghhh(h)hŒ2cups-devel-cos7-aarch64-1.6.3-ha826a6f_103.tar.bz2”h+Œ e562de6478f88d7eccb5764a9cfa23c1”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos7-aarch64-1.6.3-ha826a6f_103.tar.bz2”h0Œ@258e12b909829b5e324a090777415d5b22430e08cd26b3753f32fad0da08a293”h2NhNh3Œ$cups-libs-cos7-aarch64 ==1.6.3 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{{ë…hEMïhFˆubh)”}”(hŒasset”h#Œ0.6.13”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!asset-0.6.13-pyh9f0ad1d_0.tar.bz2”h+Œ 182bb9f46d6f19506d5453abc20d53ec”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/asset-0.6.13-pyh9f0ad1d_0.tar.bz2”h0Œ@e9684d4b5dc70e3516f99e90a370f046148e15d79f7c66f9b3cec6343dd9bbec”h2NhNh3(Œaadict >=0.2.2”Œglobre >=0.1.5”Œpython”Œsix >=1.10.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×á€ØŠ°!hEMàzhFˆubh)”}”(hŒ	pynamical”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pynamical-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0086d984ed919b6fd2d2870811d2c405”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pynamical-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0d681e71dd52e38d04e475327c3ee06f08ba52166ea39cfd63e183e1e96c0e6c”h2NhNh3(Œmatplotlib-base”Œnumba”Œnumpy”Œpandas”Œpython >=3.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ£W’JhEMü6hFˆubh)”}”(hŒ	r-english”h#Œ1.2_6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-english-1.2_6-r42hc72bb7e_1.tar.bz2”h+Œ a4183f3258500b529844204bc9ae9ef9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-english-1.2_6-r42hc72bb7e_1.tar.bz2”h0Œ@1421c5122ebd0ff8c357c57ef20dbf4f16da4796c4f1e09d1a2c2ec004973be7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐþ=yÛ#hEJ\= hFˆubh)”}”(hŒnss-util-cos7-ppc64le”h#Œ3.44.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2nss-util-cos7-ppc64le-3.44.0-h9b0a68f_1105.tar.bz2”h+Œ 80491aaf07d0d1ed12a174e9a8f8b236”h.Œ`https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-ppc64le-3.44.0-h9b0a68f_1105.tar.bz2”h0Œ@626806ef81e61f47a32495ba1b9ed2849cfc055c4dce9dc4d8a5cd7a7b36654d”h2NhNh3Œ!nspr-cos7-ppc64le >=4.21.0 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@Œá)ÊÁhEJÛd hFˆubh)”}”(hŒcompass-interface-core”h#Œ0.21.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2compass-interface-core-0.21.1-pyhd8ed1ab_0.tar.bz2”h+Œ b35ab712e05b7c8cae1416b3cd13f48b”h.Œ`https://conda.anaconda.org/conda-forge/noarch/compass-interface-core-0.21.1-pyhd8ed1ab_0.tar.bz2”h0Œ@660ee3f0be163907acb795206092815c937f1995a8d90735a95b726d5e57f2ee”h2NhNh3(Œemail-validator”Œhttpx”Œlxml”Œphonenumbers”Œpydantic >=1.8.2”Œpython >=3.9”t”h9h?h@ŒMIT”hBŒMIT”hDGAØcÓyûdZhEMí­hFˆubh)”}”(hŒr-basictrendline”h#Œ2.0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-basictrendline-2.0.5-r41hc72bb7e_0.tar.bz2”h+Œ 3f4fc814c4489b9781f71c6717ee4f7c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-basictrendline-2.0.5-r41hc72bb7e_0.tar.bz2”h0Œ@19b42eed4ba49e7cb1a1cb85f5501707c90378f7c3b0442e6dc7c9b397f2e4b2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-investr”Œr-scales”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+0àè ÅhEJ\0 hFˆubh)”}”(hŒshiny”h#Œ0.2.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ shiny-0.2.9-pyhd8ed1ab_0.tar.bz2”h+Œ 394bb0250a810786bbb92a0f488fbd66”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/shiny-0.2.9-pyhd8ed1ab_0.tar.bz2”h0Œ@fedadbcd2cff36ea2ea6fa82b46c4fbab24108906b073635ef39411081903765”h2NhNh3(Œappdirs >=1.4.4”Œasgiref >=3.5.2”Œclick >=8.0.3”Œhtmltools >=0.1.0.9001”Œlinkify-it-py >=1.0”Œmarkdown-it-py >=1.1.0”Œpython >=3.7”Œpython-multipart”Œstarlette >=0.17.1”Œtyping-extensions >=4.0.1”Œuvicorn >=0.16.0”Œwebsockets >=10.0”t”h9h?h@ŒBSD-3-Clause AND MIT”hDGAØÙžÅ¸hEJ©7 hFˆubh)”}”(hŒpaintera”h#Œ0.26.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$paintera-0.26.0-pyhd8ed1ab_0.tar.bz2”h+Œ 83aedaa7688790d45b48ace246473fd2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/paintera-0.26.0-pyhd8ed1ab_0.tar.bz2”h0Œ@811c55369130ab3e5cf6e6648e8aeaba97529d5c34dd4eb53055d84a425a97c9”h2NhNh3Œjgo >=0.4.0”Œ"paintera-conversion-helper >=0.8.0”Œ
python >=3”‡”h9h?h@ŒGPL2”hBŒGPL”hDGAØè£33hEM0AhFˆubh)”}”(hŒr-aggregation”h#Œ1.0.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ,r-aggregation-1.0.1-r36h6115d3f_1001.tar.bz2”h+Œ 701d49a85b3b26f91cf26bb0f18f9197”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-aggregation-1.0.1-r36h6115d3f_1001.tar.bz2”h0Œ@2be89b33906c8fe179d364ac4a601484668d551e88bdba4d1e4e2553799cd221”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M/å’ñªhEMBzhFˆubh)”}”(hŒ
r-inctools”h#Œ1.0.15”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-inctools-1.0.15-r40hc72bb7e_1.tar.bz2”h+Œ 46bdb3935ce5c223b5381ebb448756b7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-inctools-1.0.15-r40hc72bb7e_1.tar.bz2”h0Œ@6c7e7cd81b6542360edde682f5b142b94969ceb73c575e1d6fdb7c30f8ec0604”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-binom”Œ
r-cubature”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glm2”Œ
r-magrittr”Œr-plyr”Œr-pracma”Œr-rlang”Œr-tibble”Œ
r-tmvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+»Ÿ¾hEJï hFˆubh)”}”(hŒrunthis-server”h#Œ0.0.4”h%Œpy_0”h'K hhh(h)hŒ!runthis-server-0.0.4-py_0.tar.bz2”h+Œ 8785e9a9d2869ca0c5a12fd479ab1490”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/runthis-server-0.0.4-py_0.tar.bz2”h0Œ@8f88ed50e4bc6ec7f2f619e72421d1f23d645e6ba77d53d44b082257b29d0611”h2NhNh3Œpython >=3.6”Œquart”Œruamel.yaml”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×œõ?hÄœhEMý+hFˆubh)”}”(hŒcopy-jdk-configs-cos6-x86_64”h#Œ3.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6copy-jdk-configs-cos6-x86_64-3.3-h9d98e8f_1104.tar.bz2”h+Œ e08c885badcb70420fa7ee4b3ff0083b”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos6-x86_64-3.3-h9d98e8f_1104.tar.bz2”h0Œ@f9fb754c9c1046cb718afa4513298d9afedc32834bfa73389a6986f8cbad2bd0”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×É{æffhEMº%hFˆubh)”}”(hŒpyiron-experimental”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.pyiron-experimental-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 648af6079d0d7aa15805fc11a76f2ea2”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pyiron-experimental-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9b0cb20a4fdc0021bced67a6b507f6699a39c21d5c49a9e277cff8048fbfec75”h2NhNh3Œpyiron_experimental”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØW’hEMØhFˆubh)”}”(hŒr-matrixmodels”h#Œ0.5_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-matrixmodels-0.5_1-r41hc72bb7e_0.tar.bz2”h+Œ 3b2d61e7777c2b1247084e9fa3aa667a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-matrixmodels-0.5_1-r41hc72bb7e_0.tar.bz2”h0Œ@f3f2a43540a30f1de45ea3071af147afa9032ccf9b8d7c29bebf8caaeaa0e98b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix >=1.1_5”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑabNhEJÕÈ hFˆubh)”}”(hŒr-params”h#Œ0.7.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-params-0.7.3-r41hc72bb7e_1.tar.bz2”h+Œ ce3cb2e8a2ea9752efc4b99dfe6b9ead”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-params-0.7.3-r41hc72bb7e_1.tar.bz2”h0Œ@8d63945030128bb79a71ba3a98fcb88e6ce7a20b502c7f2a728c6dc8dd57d06b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-purrr”Œ
r-rcpptoml”Œr-readr >=1.4.0”Œ	r-whisker”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ”xcdZhEJ^ hFˆubh)”}”(hŒr-europepmc”h#Œ0.4.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-europepmc-0.4.1-r41hc72bb7e_1.tar.bz2”h+Œ 3e80812d47f07dd7dcddb7991aca95d8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-europepmc-0.4.1-r41hc72bb7e_1.tar.bz2”h0Œ@fc510f3dd1ae8fb9f8c3797167345b8da8272d0d7b8ad210b5d77561373bba80”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-plyr”Œ
r-progress”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œ
r-urltools”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒtÆ$ÝhEJÎ™ hFˆubh)”}”(hŒr-rebus.base”h#Œ0.0_3”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ,r-rebus.base-0.0_3-r351h6115d3f_1000.tar.bz2”h+Œ 04054a8608a63b934a39c73fe0b9dd7b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.base-0.0_3-r351h6115d3f_1000.tar.bz2”h0Œ@76443b759d53de0845a8d584d37a1f2648f1ee36650b084c268d93079fab569b”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ	Unlimited”hBŒMIT”hDGA×˜Î€å`hEJþe hFˆubh)”}”(hŒtextract”h#Œ1.6.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#textract-1.6.5-pyhd8ed1ab_0.tar.bz2”h+Œ 66c59c47d131073b7b20e0b18a1c7bde”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/textract-1.6.5-pyhd8ed1ab_0.tar.bz2”h0Œ@908df9b4c21bb24cf6cac1eb4a4dad1305d18e972888932aba5aecf8a04ddf88”h2NhNh3(Œargcomplete”Œbeautifulsoup4”Œchardet”Œdocx2txt”Œebooklib”Œmsg-extractor”Œpdfminer.six”Œpython >=3.6”Œpython-pptx >=0.5.1”Œsix”Œspeechrecognition >=3.1.0”Œxlrd”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŠZn˜hEMÓRhFˆubh)”}”(hŒtensorflow-probability”h#Œ0.17.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2tensorflow-probability-0.17.0-pyhd8ed1ab_0.tar.bz2”h+Œ 077a25dedf5fc44de6bef4df340d50c0”h.Œ`https://conda.anaconda.org/conda-forge/noarch/tensorflow-probability-0.17.0-pyhd8ed1ab_0.tar.bz2”h0Œ@74396bad8407d8475f317035178ed9863105b9f6304cb1d03b22990fcb790637”h2NhNh3(Œabsl-py”Œcloudpickle >=1.3”Œ	decorator”Œdm-tree”Œgast >=0.3.2”Œjax >=0.3.13,<0.4.0”Œnumpy >=1.13.3”Œ
python >=3”Œsix >=1.10.0”Œtensorflow-base >=2.9,<2.10”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¨qJhEJV% hFˆubh)”}”(hŒvdm”h#Œ0.15”h%Œpy_0”h'K hhh(h)hŒvdm-0.15-py_0.tar.bz2”h+Œ 9b4896e264b44138262335f6ac5de053”h.ŒChttps://conda.anaconda.org/conda-forge/noarch/vdm-0.15-py_0.tar.bz2”h0Œ@03dcf2b4e4cd172478fb0c879fa785538f5e401627257afe504b04ca450b9620”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×e;+²hEM}}hFˆubh)”}”(hŒp11-kit-trust-cos6-x86_64”h#Œ0.18.5”h%Œha826a6f_103”h'Kghhh(h)hŒ5p11-kit-trust-cos6-x86_64-0.18.5-ha826a6f_103.tar.bz2”h+Œ 6cc857151b872cc395267f09c6c659fc”h.Œchttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos6-x86_64-0.18.5-ha826a6f_103.tar.bz2”h0Œ@fa43bf8c0e76939c2538dcb459d529da79dc41ba8e236624b94ab3d13a0ce171”h2NhNh3Œ"p11-kit-cos6-x86_64 ==0.18.5 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ1âJhEJ8+ hFˆubh)”}”(hŒsystemd-cos7-ppc64le”h#Œ219”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-systemd-cos7-ppc64le-219-h9b0a68f_105.tar.bz2”h+Œ f4f81bdf26be099a3bf2cfb4e06b5b37”h.Œ[https://conda.anaconda.org/conda-forge/noarch/systemd-cos7-ppc64le-219-h9b0a68f_105.tar.bz2”h0Œ@38469961bcb57f4d193a28467611653166105be989d0efa9000ae4ca21202d75”h2NhNh3Œ%centos-release-cos7-ppc64le >=7 *_105”Œkmod-cos7-ppc64le >=18 *_105”Œ%systemd-libs-cos7-ppc64le ==219 *_105”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT and GPLv2+”hBŒGPL2”hDGAØ@‰]ô1hEJ	Â| hFˆubh)”}”(hŒr-fivethirtyeight”h#Œ0.6.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ-r-fivethirtyeight-0.6.2-r42hc72bb7e_1.tar.bz2”h+Œ 804b8cd2b78824671725495897b4503e”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-fivethirtyeight-0.6.2-r42hc72bb7e_1.tar.bz2”h0Œ@e8f7cf7589ab960746fd5c24b50e3f8f5a30ea02c36ff6ff63fce2f21f58d3f7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ~ÁÓC–hEJµOG hFˆubh)”}”(hŒr-label.switching”h#Œ1.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-label.switching-1.8-r41hc72bb7e_1.tar.bz2”h+Œ 5134219db3176c181dba0b031a46e407”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-label.switching-1.8-r41hc72bb7e_1.tar.bz2”h0Œ@2af7d211397cf315f1009fd5196f02446d48e370c8f2e797dab023bc4baf2c1d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-combinat”Œ	r-lpsolve”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+#k÷ÏhEJg› hFˆubh)”}”(hŒsklearn-json”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'sklearn-json-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 10532331c253954e903be5208ef204f3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/sklearn-json-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ea009507d4f6a0cc6a6625176e36983d47a99de337467a0c70370ce8b7556f55”h2NhNh3Œpython >=3.5”Œscikit-learn >=0.21.3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ fY“uhEM‰2hFˆubh)”}”(hŒchronic”h#Œ0.3.4”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"chronic-0.3.4-pyhd3deb0d_0.tar.bz2”h+Œ ff71f230128836cd8e31730960a3ebcb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/chronic-0.3.4-pyhd3deb0d_0.tar.bz2”h0Œ@ae70f1145ac02e01a45b768d3f08279fbc21db6e419057672a3e3ee740ee527f”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ïù@º^hEM(hFˆubh)”}”(hŒlibxshmfence-cos7-ppc64le”h#Œ1.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libxshmfence-cos7-ppc64le-1.2-h9d98e8f_104.tar.bz2”h+Œ f973e9a13760d136c1984cc0ab94614c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-ppc64le-1.2-h9d98e8f_104.tar.bz2”h0Œ@e72d78119ce6fc4eea5782143e5a85dcf5b8ffa043c13030199213ae841c7e75”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy6ðbNhEM.#hFˆubh)”}”(hŒpython-lambda-4dn”h#Œ0.12.3”h%Œpy_0”h'K hhh(h)hŒ%python-lambda-4dn-0.12.3-py_0.tar.bz2”h+Œ 37fffb1c83f481c935ee8c541e90bba2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/python-lambda-4dn-0.12.3-py_0.tar.bz2”h0Œ@29437ea063d7a440291c2d476c03aadd2724637241a4e6ad380cb7f7258b3b28”h2NhNh3(Œboto3 >=1.7.42”Œbotocore >=1.10.42”Œdocutils >=0.14”Œpip”Œpython >=3.5”t”h9h?h@Œ
ISC (ISCL)”hBŒOTHER”hDGA×l	01G®hEM¡.hFˆubh)”}”(hŒaiida-castep”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'aiida-castep-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ c613a5d9b6487c54c88d14317ac1c8d3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/aiida-castep-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a5afbafbba71a6d6890e19181124c5f421f65f35ea4b5571a8a13dfc0699d5ce”h2NhNh3(Œaiida-core >=2.0,<3.0.0”Œase >=3.0,<4.0”Œcastepinput 0.1.6”Œcastepxbin >=0.2.0,<0.3.0”Œclick”Œdeepdiff”Œmatplotlib-base”Œpython >=3.6”Œseekpath >=1.9.3,<1.10.0”Œsix >=1.0,<2.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶¸eµÂhEJ±Æ hFˆubh)”}”(hŒglib2-cos7-aarch64”h#Œ2.56.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ/glib2-cos7-aarch64-2.56.1-ha826a6f_1103.tar.bz2”h+Œ 0e6e589a4195070c1e9202a3f6a8d109”h.Œ]https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-aarch64-2.56.1-ha826a6f_1103.tar.bz2”h0Œ@933616bc3ded4adc896228ac9c286a68f3956c30837cfb84569229dbcbc9e3b0”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ0†/KÇhEJÊÇ- hFˆubh)”}”(hŒ	qtconsole”h#Œ5.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$qtconsole-5.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 68e33d0e2a059c72ce4e548e6ccc6a58”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/qtconsole-5.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@bbdbb742e4ee1769884f46d79d2ab050f624a8beb8a43c67eab516108c842f94”h2NhNh3Œpyqt”Œpython >=3.7”Œ!qtconsole-base >=5.3.2,<5.3.3.0a0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÂài’-hEM@hFˆubh)”}”(hŒ	r-munsell”h#Œ0.5.0”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ(r-munsell-0.5.0-r40hc72bb7e_1004.tar.bz2”h+Œ cdab8ac3830403db06fc26e218fae0f8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-munsell-0.5.0-r40hc72bb7e_1004.tar.bz2”h0Œ@315adbac059c3fe6c1a9e905b350f8d0eaf79a07f47920b611ae1febef391461”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-colorspace”†”h9hºh@ŒMIT”hBŒMIT”hDGAØsZó/hEJýÛ hFˆubh)”}”(hŒ	r-histdat”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-histdat-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 7bfa4036ee6401fab875c6e575fc6f54”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-histdat-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@cc7b9a2e8d2c2388ceacdd79ca974fdc0f2933f880049da713f7527d46fef039”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ^`Ñ•p¤hEJ1Ã hFˆubh)”}”(hŒcompass-interface-http”h#Œ0.26.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2compass-interface-http-0.26.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9b07f07b623d4ca798662de0e1d1e40d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/compass-interface-http-0.26.0-pyhd8ed1ab_0.tar.bz2”h0Œ@82f52cd42f35ea43989881a82760c48f32c05109726361822817c7fba28498bb”h2NhNh3(Œcompass-interface-core >=0.20.0”Œcryptography”Œfastapi”Œpython >=3.9”Œpython-jose”Œpython-multipart”t”h9h?h@ŒMIT”hBŒMIT”hDGAØQºïEÒòhEJ­ hFˆubh)”}”(hŒr-squash”h#Œ1.0.9”h%Œr41ha770c72_1”h'Khhh(h)hŒ$r-squash-1.0.9-r41ha770c72_1.tar.bz2”h+Œ ab41c87df503c567fb9bac719b6eff86”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-squash-1.0.9-r41ha770c72_1.tar.bz2”h0Œ@177ea59c97f3a7201eeb158cd0d6acec234e7d91006c6190c935a0127f77776b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ+ÚÀå`hEJ{n hFˆubh)”}”(hŒclyent”h#Œ1.2.2”h%Œpy_1”h'Khhh(h)hŒclyent-1.2.2-py_1.tar.bz2”h+Œ b9ee3fdf59f49883497741509ea364b6”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/clyent-1.2.2-py_1.tar.bz2”h0Œ@2521c43e0e481ad543baa0bb9289aff2bb242d5304eed11f17ca45943300ae62”h2NhNh3Œpython”Œ
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Apache-2.0”hBŒApache”hDGA×ÃÝÂàQìhEMÜ†hFˆubh)”}”(hŒr-ghostknockoff”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-ghostknockoff-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 07b9d96a0f5906faff3a7853c1f9a1d7”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ghostknockoff-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@fcf02dd8617ecd58cd0124bd8e346d0bd6c431d987e6a86fe7df93786e213e9e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-corpcor”Œr-cvxr”Œr-gtools”Œr-matrix”Œr-rdsdp”Œ
r-rspectra”Œ
r-seqminer”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒp¥ßPhEJˆ hFˆubh)”}”(hŒ	num-utils”h#Œ0.5”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ&num-utils-0.5-pl5321hd8ed1ab_0.tar.bz2”h+Œ 196c8c1bbf6e9859f51894eb88816f78”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/num-utils-0.5-pl5321hd8ed1ab_0.tar.bz2”h0Œ@124d3e5b121cd3c238550da0bf565c1533c1dfeaa8861b83529741bee8478841”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØbÜØÊ-hEM)„hFˆubh)”}”(hŒ
r-denoiser”h#Œ1.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-denoiser-1.0.2-r41hc72bb7e_1.tar.bz2”h+Œ a39117b8f6ac2a2333b15d8e1c6b7195”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-denoiser-1.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@7d7320f63c706f5cc219ca18c1af6a7191b043b507dc2dc890ad1b966b047a49”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-factominer”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ,$Ø+hEJ­K hFˆubh)”}”(hŒr-ips”h#Œ0.0.11”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-ips-0.0.11-r41hc72bb7e_1.tar.bz2”h+Œ 6e7d624703d7418e277694775e325b25”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ips-0.0.11-r41hc72bb7e_1.tar.bz2”h0Œ@736919c5f071e3cc6ba58a81f4ef578cccd280884114721a2f4e5c3f35fa06b4”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œ
r-phangorn”Œr-plyr”Œr-seqinr”Œr-xml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+ÒZ@ƒhEJ°“ hFˆubh)”}”(hŒ	rockhound”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒrockhound-0.2.0-py_0.tar.bz2”h+Œ e99e21402a071fd977aeefa178bce744”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/rockhound-0.2.0-py_0.tar.bz2”h0Œ@d6903f893a816a9d3ed4ac1407a7353ea8cd000642b3651dec92cb02f1f6fce3”h2NhNh3(Œdask”Œnetcdf4”Œpandas”Œpooch >=0.5”Œpython >=3.5”Œrasterio”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Œ¿&…hEMÔrhFˆubh)”}”(hŒmarshmallow-enum”h#Œ1.5.1”h%Œpyh9f0ad1d_3”h'Khhh(h)hŒ+marshmallow-enum-1.5.1-pyh9f0ad1d_3.tar.bz2”h+Œ 67c5202bf14543cd1bb97f129d3f26dd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/marshmallow-enum-1.5.1-pyh9f0ad1d_3.tar.bz2”h0Œ@7729d878c2129d691e86b81fce346320a0152a6bbfc862a8c12ec646763f4857”h2NhNh3Œmarshmallow >=2.0.0”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×àÆ‡z~úhEMº$hFˆubh)”}”(hŒr-conflr”h#Œ0.1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-conflr-0.1.1-r36h6115d3f_0.tar.bz2”h+Œ 69c8e7255efeddcbec02e7f3b345286b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-conflr-0.1.1-r36h6115d3f_0.tar.bz2”h0Œ@1a01073b7af17a62a23751d960af1ef4c435f56f1db345b2c34cef1f86ec9c05”h2NhNh3(Œ	r-askpass”Œr-base >=3.6,<3.7.0a0”Œr-commonmark”Œr-curl”Œr-glue”Œr-httr”Œr-knitr”Œr-miniui”Œr-purrr”Œr-r6”Œr-rlang”Œr-rmarkdown”Œr-rstudioapi”Œr-shiny”Œ	r-stringi”Œr-xml2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¨ÙáB-hEJRƒ
 hFˆubh)”}”(hŒr-rworldxtra”h#Œ1.01”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-rworldxtra-1.01-r41hc72bb7e_0.tar.bz2”h+Œ 61fd1304d3129c74b0d350370257b51c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rworldxtra-1.01-r41hc72bb7e_0.tar.bz2”h0Œ@7e73bc956111fb5ce3c0cbd1aa53f8e17bc7c019133e41625d2a9ce66b3e33e8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-sp”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+ã¶FhEJ›Q hFˆubh)”}”(hŒr-soupx”h#Œ1.6.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-soupx-1.6.2-r42hc72bb7e_0.tar.bz2”h+Œ 20dc162b33269182bc6196742e426357”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-soupx-1.6.2-r42hc72bb7e_0.tar.bz2”h0Œ@edb65fd1a137f68437427a2646685ab0bd83160623cd935ace0fea2849c3f762”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-matrix”Œr-seurat >=3.2.2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØØ§ÍOßhEJU Q hFˆubh)”}”(hŒr-rpivottable”h#Œ0.3.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-rpivottable-0.3.0-r36h6115d3f_1.tar.bz2”h+Œ 5afe157024e8891408cbe076d7309402”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rpivottable-0.3.0-r36h6115d3f_1.tar.bz2”h0Œ@eec5eb12480bc810abfafa529919a2e27901868517f97f27de0b7e52f8e51b08”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-htmlwidgets >=0.5”†”h9hºh@ŒMIT”hBŒMIT”hDGA×LªÌ+hEJ.9 hFˆubh)”}”(hŒr-sparsebnutils”h#Œ0.0.8”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ+r-sparsebnutils-0.0.8-r36hc72bb7e_0.tar.bz2”h+Œ 986e2cb26601833d8abe8871d45b13ca”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-sparsebnutils-0.0.8-r36hc72bb7e_0.tar.bz2”h0Œ@8721a231193190670de218c2a0a901b0db1ab6985b45047a12e6f19800f4fd20”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-matrix”Œr-nnet”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØKódZhEJ4Ñ hFˆubh)”}”(hŒsocial-auth-app-django”h#Œ4.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ1social-auth-app-django-4.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ 8d612ddbca865704bdaad4316debf2d0”h.Œ_https://conda.anaconda.org/conda-forge/noarch/social-auth-app-django-4.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@5d1c7d2d2b4c073d264e909d73223d36d3b994d927c7b076bac6b90e9da4b32c”h2NhNh3Œpython”Œsix”Œsocial-auth-core >=3.3.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¼3é½`BhEM8OhFˆubh)”}”(hŒr-pixmap”h#Œ0.4_12”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-pixmap-0.4_12-r40hc72bb7e_0.tar.bz2”h+Œ b7cfd9e8361a1cad183bbe0ffbce7c81”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pixmap-0.4_12-r40hc72bb7e_0.tar.bz2”h0Œ@8b3bffe78c4119cf5a06eb000b6016cc67923fe4a051f54269f1153b9a423752”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØw©™šhEJ×‘ hFˆubh)”}”(hŒ	r-details”h#Œ0.3.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-details-0.3.0-r40hc72bb7e_0.tar.bz2”h+Œ f34998dc4f6bd62d49d00b0637a231fe”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-details-0.3.0-r40hc72bb7e_0.tar.bz2”h0Œ@eb34af3c64b25c2b24c7077845eed07d71eb8bae1a50f1419248713b28d627ff”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-clipr”Œr-desc”Œr-htmltools”Œr-httr”Œr-knitr”Œ
r-magrittr”Œr-png”Œr-withr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØXffhEJpË hFˆubh)”}”(hŒr-kedd”h#Œ1.0.3”h%Œ	r351_1002”h'Mêhhh(h)hŒr-kedd-1.0.3-r351_1002.tar.bz2”h+Œ cd8f024f6bfc2235569401cd26ee10f0”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-kedd-1.0.3-r351_1002.tar.bz2”h0Œ@2534d37c4ec60f0ece3157e1196e8683d5d442b2c228ee2fe6f5658f011a2c99”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖûIÈj-hEJÝù hFˆubh)”}”(hŒlibxft-cos6-x86_64”h#Œ2.3.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libxft-cos6-x86_64-2.3.2-h9b0a68f_105.tar.bz2”h+Œ 5bcc029e20cf989a41d4f03b9eead323”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxft-cos6-x86_64-2.3.2-h9b0a68f_105.tar.bz2”h0Œ@74f2412911d53dc135deed06a477fd5737f799baa49b03198d5cfe1130d29f9e”h2NhNh3Œ"fontconfig-cos6-x86_64 >=2.2 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[9vhEM¦ÛhFˆubh)”}”(hŒ
adjusttext”h#Œ0.7.3.1”h%Œpy_1”h'Khhh(h)hŒadjusttext-0.7.3.1-py_1.tar.bz2”h+Œ 1e4a4438639a2e3e762f0cd4b43c984e”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/adjusttext-0.7.3.1-py_1.tar.bz2”h0Œ@a4d471f2154d4955fd63f27eb8373f89895eddbb9397c4420a5370291610a267”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×•ðâøQìhEMÌ*hFˆubh)”}”(hŒorcid”h#Œ1.0.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ orcid-1.0.3-pyhd8ed1ab_1.tar.bz2”h+Œ 9a5cfe7cf7b6e33b2350baf0e1104390”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/orcid-1.0.3-pyhd8ed1ab_1.tar.bz2”h0Œ@a694c2f18c5f78807344329a06056a5519f0a36988575f0977271130a946ab49”h2NhNh3(Œbeautifulsoup4”Œhtml5lib”Œlxml”Œpython >=3.3”Œrequests”Œ
simplejson”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×÷
AÂ^5hEMY6hFˆubh)”}”(hŒgoogle-cloud-bigquery”h#Œ1.28.0”h%Œpyhc8dfbb8_0”h'K hhh(h)hŒ1google-cloud-bigquery-1.28.0-pyhc8dfbb8_0.tar.bz2”h+Œ 19a032460e3028f12a298b14b187d5cc”h.Œ_https://conda.anaconda.org/conda-forge/noarch/google-cloud-bigquery-1.28.0-pyhc8dfbb8_0.tar.bz2”h0Œ@c7e0c60669c974b5543be53d00eb64e5d12aae612fd840842a9fc7e76d4f6cf9”h2NhNh3(Œ#google-cloud-bigquery-core 1.28.0.*”Œgoogle-cloud-bigquery-storage”Œipython”Œpandas”Œpyarrow”Œpython”Œtqdm”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ÞÚÊõÃhEM,'hFˆubh)”}”(hŒyank”h#Œ0.25.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ yank-0.25.2-pyhd8ed1ab_0.tar.bz2”h+Œ 4a37600293680942da94358dbb59f086”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/yank-0.25.2-pyhd8ed1ab_0.tar.bz2”h0Œ@4b01f2f78f02ba5a77d305137ef0c00bd147fad753c8ecb8b8c46306d2f1d731”h2NhNh3(Œcerberus >=1.3”Œclusterutils”Œdocopt”Œjupyter”Œmatplotlib-base”Œmdtraj >=1.7.2”Œmpiplus”Œnumpy >=1.14”Œopenmm >=7.3”Œopenmmtools >=0.19.0”Œopenmoltools >=0.7.5”Œpandas”Œpdbfixer”Œpymbar”Œpython >=3.6”Œpyyaml”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØS"JhEJau! hFˆubh)”}”(hŒmonty”h#Œ	2022.1.19”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$monty-2022.1.19-pyhd8ed1ab_0.tar.bz2”h+Œ ad7915b5b267aa0a6a6fc8fc1811a7c3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/monty-2022.1.19-pyhd8ed1ab_0.tar.bz2”h0Œ@a783603339f1d17fb07704116902810e065f9bb5e950bfbcb788809ce81640c1”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØz(:qÛ#hEM—hFˆubh)”}”(hŒrpdb”h#Œ0.1.6”h%Œpy_0”h'K hhh(h)hŒrpdb-0.1.6-py_0.tar.bz2”h+Œ 08895a87d3a7dcab3716f2e86fb3f0a6”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/rpdb-0.1.6-py_0.tar.bz2”h0Œ@93773b98f571212201f4e0d9625127004754895a2c83b9cc1f94cd0ed388514b”h2NhNh3Œpython”…”h9h?h@Œ
ISC (ISCL)”hBŒOTHER”hDGA×;Íè1'hEMjhFˆubh)”}”(hŒjacqq”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒjacqq-0.5.0-py_0.tar.bz2”h+Œ b00d9573ee2a1a9737274e327a31dd69”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/jacqq-0.5.0-py_0.tar.bz2”h0Œ@37758afbdae04837c85e896641603974dfc3ac3e2e18f524bd27be9a862facaf”h2NhNh3Œnumpy”Œpython >=3.4”Œscipy”‡”h9h?h@ŒGPL-3”hBŒGPL3”hDGA×²qûçhEMŒ¯hFˆubh)”}”(hŒr-librarian”h#Œ1.8.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-librarian-1.8.1-r42hc72bb7e_1.tar.bz2”h+Œ 759f995d2573460065f8e8a18809047e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-librarian-1.8.1-r42hc72bb7e_1.tar.bz2”h0Œ@4a1a039f219f79cdb6506a66a929ac97187c41ab048d7bb0ef78d434e15045e3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-biocmanager”Œ	r-remotes”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL”hDGAØÒYÛæffhEJ¢¸ hFˆubh)”}”(hŒr-ggtext”h#Œ0.1.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-ggtext-0.1.2-r40hc72bb7e_0.tar.bz2”h+Œ ae9b11ab3c0b9eaa3f6e53df94f77431”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggtext-0.1.2-r40hc72bb7e_0.tar.bz2”h0Œ@5103fda80c763e68d0e8705f64c17bb92b08b9583c986b6901bea0e4dd4d49aa”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=3.3.0”Œ
r-gridtext”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÉ#?@ÄœhEJ\¸ hFˆubh)”}”(hŒr-transformer”h#Œ2.1.5”h%Œr40ha770c72_0”h'K hhh(h)hŒ)r-transformer-2.1.5-r40ha770c72_0.tar.bz2”h+Œ 7233f7de616df979d7852af825a001a0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-transformer-2.1.5-r40ha770c72_0.tar.bz2”h0Œ@8c7cb943f1a2a438e3c9cbb93e0859d770a337427772291caf0ca3129a3c7bb4”h2NhNh3(Œr-abind”Œr-akima”Œr-base >=4.0,<4.1.0a0”Œr-fields”Œ	r-kohonen”Œ
r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡, ÎvÉhEJÀÉ
 hFˆubh)”}”(hŒ
r-prabclus”h#Œ2.3_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-prabclus-2.3_2-r42hc72bb7e_2.tar.bz2”h+Œ 5561eb8f1ae2c8e15d7749e5d8846b5a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prabclus-2.3_2-r42hc72bb7e_2.tar.bz2”h0Œ@d8e57b7bcfa6c57c86abd931dac5df7464368d1d8dcceee28d1dc266232adabd”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-mclust”‡”h9hºh@ŒGPL”hBŒGPL”hDGAØÑYÿ™º^hEJ~“ hFˆubh)”}”(hŒr-startupmsg”h#Œ0.9.6”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-startupmsg-0.9.6-r41hc72bb7e_2.tar.bz2”h+Œ d351d540192b7cdbf3aece427dc4e6fc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-startupmsg-0.9.6-r41hc72bb7e_2.tar.bz2”h0Œ@96d9068db01157a6813b8b63b4bbef8ad580a4ae573c61af1bf2f4327c1ff90b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ*í$áHhEM„ÁhFˆubh)”}”(hŒcairo-cos6-x86_64”h#Œ1.8.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-cairo-cos6-x86_64-1.8.8-h9d98e8f_1104.tar.bz2”h+Œ a3f76c9db2ae685767d86a930d604c8f”h.Œ[https://conda.anaconda.org/conda-forge/noarch/cairo-cos6-x86_64-1.8.8-h9d98e8f_1104.tar.bz2”h0Œ@22fcaf8abe319bd4f5f8ea94faae3a16b543a86f7399d9c72e1c107491096560”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×ÉyœèbNhEJPÆ hFˆubh)”}”(hŒxrd_simulator”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(xrd_simulator-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 18053e12dd26a9f2a0b500569f29a72d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/xrd_simulator-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c6233872f668ebe0c1cba601628af92237bbdd110995ebfd86f7c5cdb35ab55c”h2NhNh3(Œdill”Œh5py”Œmatplotlib-base”Œmeshio”Œnetcdf4”Œnumba”Œnumpy”Œpycifrw”Œ	pygalmesh”Œpython >=3.8,<3.11”Œscipy”Œxfab”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÜ=¯ïžhEM¼hFˆubh)”}”(hŒmatplotlib-scalebar”h#Œ0.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.matplotlib-scalebar-0.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ b2fd6b9626f10e3fb1793ad53d8ee5cf”h.Œ\https://conda.anaconda.org/conda-forge/noarch/matplotlib-scalebar-0.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2fbf391c36a81d3331d4e85bc461a6f856a62429f308834bf5279c8c49fc2279”h2NhNh3Œmatplotlib-base”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØŠÍ&VhEM	LhFˆubh)”}”(hŒtatc”h#Œ3.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtatc-3.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ ee7efd3af74255df9477ff2fab66cb9d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/tatc-3.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c3535b9b0db74155424fc13bb6f3597a5ff0305f1d18e8d65a6172eb8c72f123”h2NhNh3(Œ	geopandas”Œnumba”Œnumpy”Œpandas”Œpydantic”Œpyproj”Œpython >=3.6”Œsgp4”Œshapely”Œskyfield”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¶`zÆ$ÝhEM×‡hFˆubh)”}”(hŒr-naepprimer”h#Œ1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-naepprimer-1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ b34de63654a248942846d7d9000f78d4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-naepprimer-1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@089104c9efc2cab0f515306a189fcec975272445f4630631938a36eba497a427”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ›¢ëdZhEJ) hFˆubh)”}”(hŒargcomplete”h#Œ1.12.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'argcomplete-1.12.3-pyhd8ed1ab_1.tar.bz2”h+Œ a7cc8d8a05a710006718248521ed0807”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/argcomplete-1.12.3-pyhd8ed1ab_1.tar.bz2”h0Œ@ead25511c29c9e298b8e0c6b00c74ae89a4f88246c3cac66d2e266ff42359810”h2NhNh3Œimportlib_metadata >=0.23,<4”Œpython >=3.5”†”h9h?h@Œ
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r-yaimpute”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×O$5EhEJ9L
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websockets”t”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØÚ´¦E¢hEJjf hFˆubh)”}”(hŒr-docopt”h#Œ0.7.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-docopt-0.7.1-r40hc72bb7e_1.tar.bz2”h+Œ 3612bf0df3368009e9546b51f423fd01”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-docopt-0.7.1-r40hc72bb7e_1.tar.bz2”h0Œ@4eccc228ae1387118cff447d42685085b807fb769a52021d0994ea2af554203c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsXE¶VhEJâ hFˆubh)”}”(hŒlibibumad-cos6-x86_64”h#Œ1.3.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libibumad-cos6-x86_64-1.3.9-h9b0a68f_105.tar.bz2”h+Œ 8ebd4d2641c52f86f669f1dd19004d73”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos6-x86_64-1.3.9-h9b0a68f_105.tar.bz2”h0Œ@5287ed0949f19a220e250dcca5863e06e0d0645c1efaab7f311767aa826fa403”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@UÇ˜  hEMîhFˆubh)”}”(hŒr-fabricatr”h#Œ1.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-fabricatr-1.0.0-r40hc72bb7e_0.tar.bz2”h+Œ 3e48f80158a7bcc2fd1ddea664cf532c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fabricatr-1.0.0-r40hc72bb7e_0.tar.bz2”•      h0Œ@cb2022717aa21b5c6b52788e09cd81fa68c98ca0c80fae53d1e4ca4749093b86”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rlang >=1.0.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ¯+VùÛhEJBe hFˆubh)”}”(hŒr-starticles”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-starticles-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 5702a4d9e8eaefe76fe7501c91b000d2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-starticles-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@f53157945bd764bb8bb3090bc1808649c4b061978b2da0fc983a92e1940afde6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-bookdown”Œr-knitr”Œr-rmarkdown”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑþ‘É‡hEMíËhFˆubh)”}”(hŒlibudev-cos6-x86_64”h#Œ147”h%Œh9b0a68f_105”h'Kihhh(h)hŒ,libudev-cos6-x86_64-147-h9b0a68f_105.tar.bz2”h+Œ a244a65ae00cdf2c44678187ae261bc0”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libudev-cos6-x86_64-147-h9b0a68f_105.tar.bz2”h0Œ@01c020514a3b7b3a91e9d8b079a8eda9ef642f5214c643e63c048ad623b0209f”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@V‘Ü‹DhEMvhFˆubh)”}”(hŒdjango-cloud-browser”h#Œ0.5.4”h%Œpyh8c360ce_0”h'K hhh(h)hŒ/django-cloud-browser-0.5.4-pyh8c360ce_0.tar.bz2”h+Œ f9fd34475a113a146ec69e483ef0d837”h.Œ]https://conda.anaconda.org/conda-forge/noarch/django-cloud-browser-0.5.4-pyh8c360ce_0.tar.bz2”h0Œ@638b3c99acb0c7fc445b48eb7eab0e7f39a2e42eef6558d020f0f6513c70c585”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×™ÒùáHhEM´ÞhFˆubh)”}”(hŒr-naturalsort”h#Œ0.1.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ,r-naturalsort-0.1.3-r36h6115d3f_1002.tar.bz2”h+Œ 754e6d0dd89ab0f9c9c4aa1442f700a6”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-naturalsort-0.1.3-r36h6115d3f_1002.tar.bz2”h0Œ@cea5b196c26270d6056063745d7c10769571516e965fe4d349023cb0afa10a2d”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×Ln”JÐåhEMûThFˆubh)”}”(hŒexpertai-extract”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+expertai-extract-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ b4324246482556f7b7461945c6ac5b3a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/expertai-extract-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6a03ffdd3c78acf21ff996ad3980e94b30f374a560b9c8f0c7170bbfad6745da”h2NhNh3(Œpython >=3.6”Œpython-dateutil”Œrequests”Œurllib3 >=1.25.3”t”h9h?h@Œ
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r-heatmap3”h#Œ1.1.9”h%Œr36ha770c72_0”h'K hhh(h)hŒ&r-heatmap3-1.1.9-r36ha770c72_0.tar.bz2”h+Œ 3b086b28223ab24b370d68d9223e0693”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-heatmap3-1.1.9-r36ha770c72_0.tar.bz2”h0Œ@1eb5583dd354388dde237bbfbace1962bcf5bdd5de319223a5a401be9aeb4bd9”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-fastcluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ýfý›¦hEJ¨	 hFˆubh)”}”(hŒ	rb-dig_rb”h#Œ1.0.1”h%Œ
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r-partykit”Œr-psychotools”Œr-psychotree”Œr-qvcalc”Œr-r6”Œ
r-rspectra”Œ
r-sandwich”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¾Œ33hEJ@© hFˆubh)”}”(hŒflask-postgres”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)flask-postgres-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 74763b721afb626fca4ad85677aaad5a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/flask-postgres-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@a89004f97f8a5478e3eb6e82260e9224d612f1e4fd03e116b657f8e050c3a758”h2NhNh3(Œclick >=7.0”Œflask >=1.0”Œflask-sqlalchemy >=2.4”Œpython >=3.6”Œsqlalchemy >=1.2.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‹Ûœ;dhEMâBhFˆubh)”}”(hŒr-agricolae”h#Œ1.3_5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-agricolae-1.3_5-r40hc72bb7e_0.tar.bz2”h+Œ bd83bf75aa53373bef4e9a97d31a86ae”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-agricolae-1.3_5-r40hc72bb7e_0.tar.bz2”h0Œ@84f98b636577be283ec517a79d3985cf0e8d851201840a8b529a87a0b293662f”h2NhNh3(Œr-algdesign”Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”Œr-klar”Œr-mass”Œr-nlme”Œr-spdep”t”h9hºh@ŒGPL”hBŒGPL”hDGAØ/]hEJÙÐ hFˆubh)”}”(hŒdjango-nested-inline”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒ'django-nested-inline-0.4.0-py_0.tar.bz2”h+Œ 1caf7334a77395f14a8454488bba2cb4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/django-nested-inline-0.4.0-py_0.tar.bz2”h0Œ@4f4c4f31676a976744303a0213c2e629764c556fa499d56400b1baffa28299fe”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×{j¸†‡+hEM ThFˆubh)”}”(hŒ	r-rapidoc”h#Œ8.4.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-rapidoc-8.4.3-r40hc72bb7e_0.tar.bz2”h+Œ 8339c3ca8676d64dc5d7ec563a1093b2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rapidoc-8.4.3-r40hc72bb7e_0.tar.bz2”h0Œ@64337e59c1a4c907f27cecfdd4a091f8083ff9d2800f666fa2be08f4a9bac554”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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2019_12.16”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-optimr-2019_12.16-r40h6115d3f_1.tar.bz2”h+Œ e56e7bca7b9a1bca45c14c0f9334dd59”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimr-2019_12.16-r40h6115d3f_1.tar.bz2”h0Œ@8868cbc568ca064d21e3b696059b490691afc2ecd65a7aed06a579d7c9cda796”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-numderiv”Œr-optextras”Œr-rcgmin”Œr-rvmmin”Œr-setrng”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬œœ;dhEJ84 hFˆubh)”}”(hŒflask-bower”h#Œ1.3.0”h%Œpy_0”h'K hhh(h)hŒflask-bower-1.3.0-py_0.tar.bz2”h+Œ 93fea950dfa261d072601159fe65293c”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/flask-bower-1.3.0-py_0.tar.bz2”h0Œ@54b12461f681b399826898f12cc14f6676101e083aa15b71afbea6c29ddab98f”h2NhNh3Œflask >=0.9”Œpython”†”h9h?h@ŒGPL-2.0”hBŒGPL”hDGAÖÐçF8QìhEMchFˆubh)”}”(hŒesda”h#Œ2.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒesda-2.4.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2c39907e661f893cc379d9d3bacff231”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/esda-2.4.3-pyhd8ed1ab_0.tar.bz2”h0Œ@4aa71b8a6fdd45c921667abfae03c739483c1da3652a21db4b0f3a0ba2abd143”h2NhNh3(Œlibpysal”Œmatplotlib-base”Œpandas”Œpython >=3.6”Œscikit-learn”Œscipy >=0.11”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿ó¤jhEJ@l hFˆubh)”}”(hŒr-sjmisc”h#Œ2.8.9”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-sjmisc-2.8.9-r40hc72bb7e_0.tar.bz2”h+Œ a27384afb268f96c9c801e1535c1fac8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sjmisc-2.8.9-r40hc72bb7e_0.tar.bz2”h0Œ@7c9af37d5ff7aaa7cc52badf67a96d6c2a3dc48b5e8dd36fc8e68f159b3a5ec6”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.8.0”Œr-haven >=1.1.2”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-sjlabelled >=1.0.17”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØj…!ÌÍhEJ¡d hFˆubh)”}”(hŒr-climate4r.datasets”h#Œ0.0.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ0r-climate4r.datasets-0.0.1-r41ha770c72_1.tar.bz2”h+Œ bfd39ac81e1271dc22e52ad679774f72”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-climate4r.datasets-0.0.1-r41ha770c72_1.tar.bz2”h0Œ@6d2b4f304a939473e48fbc865a525f970a8310145a1a391add782f694d09f1d2”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØÒ¯GÈ  hEJ»2shFˆubh)”}”(hŒcds-crtools”h#Œ3.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&cds-crtools-3.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 7ec5509df9a4fdf13438b081c60b34c5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/cds-crtools-3.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6263f35ffbde06d8aca8035dcdf23b80b8c6d38c717ea1acf49874a44b08e5ff”h2NhNh3(Œchndump 3.1.2 h166bdaf_0”Œdmtviewer 3.1.2 he3fa13e_0”Œdtt-awggui 3.1.2 he3fa13e_0”Œdtt-awgstream 3.1.2 h8d01263_0”Œdtt-diag 3.1.2 h924138e_0”Œdtt-diagd 3.1.2 h924138e_0”Œdtt-diaggui 3.1.2 he3fa13e_0”Œ#dtt-multiawgstream 3.1.2 h166bdaf_0”Œdtt-tpcmd 3.1.2 h166bdaf_0”Œdtt-xml-tools 3.1.2 h924138e_0”Œfoton 3.1.2 he3fa13e_0”Œlidax 3.1.2 he3fa13e_0”Œnds2-client”Œpython >=3.6”Œpython-awg 3.1.2 pyh1a4f876_0”Œpython-foton 3.1.2 pyh1a4f876_0”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ—nRt›¦hEMâXhFˆubh)”}”(hŒ&_current_repodata_hack_gcc_linux_64_75”h#Œ0.0.1”h%j3G h'K hhh(h)hŒ6_current_repodata_hack_gcc_linux_64_75-0.0.1-0.tar.bz2”h+Œ 6f29ba77e8b03b191c9d667f331bf2a0”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/_current_repodata_hack_gcc_linux_64_75-0.0.1-0.tar.bz2”h0Œ@ecde63af23e0d49c0ece19ec539d873ea408a6f966d3126994c6d33ae1b9d3f7”h2NhNh3Œgcc_linux-64 7.5.*”…”h9hºh@ŒLicenseRef-OTHER”hDGA×Öõÿô¬hEMhFˆubh)”}”(hŒlibxdamage-cos7-aarch64”h#Œ1.1.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2libxdamage-cos7-aarch64-1.1.4-hdf0574f_102.tar.bz2”h+Œ 336329a7c5d1a075965973e6f59c6013”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-aarch64-1.1.4-hdf0574f_102.tar.bz2”h0Œ@bbb9e8b12aa8144e66155ef708f230a0a8dc19f1caba6d697da121ff8cbd3441”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+V$ÝhEM›AhFˆubh)”}”(hŒr-compute.es”h#Œ0.2_5”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-compute.es-0.2_5-r36h6115d3f_1.tar.bz2”h+Œ 99c84170e2a2b4570543ae1f258463af”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-compute.es-0.2_5-r36h6115d3f_1.tar.bz2”h0Œ@e4b51f52a894cd8a52807864614e1617fcf6477f093cdca8c67aa4b1cffd6a15”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬íf å`hEJµ hFˆubh)”}”(hŒr-qlcmatrix”h#Œ0.9.7”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ*r-qlcmatrix-0.9.7-r35h6115d3f_1001.tar.bz2”h+Œ c3b0ef1ad5f58ba003033b3f762167f5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-qlcmatrix-0.9.7-r35h6115d3f_1001.tar.bz2”h0Œ@113099a65bb65fddb15736ef4a3671b2396ff68ff75e2eb0905751f48500fbfa”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-docopt”Œr-matrix >=1.1_0”Œr-slam >=0.1_32”Œr-sparsesvd”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¿³_ÎÙhEJÊä2 hFˆubh)”}”(hŒaiohttp-graphql”h#Œ1.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*aiohttp-graphql-1.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ b4359d51847bd1827515821f5070e1fe”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/aiohttp-graphql-1.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@e6ccc2b042a2e592077687957d3aa5f2792e26e158e0db3ef46f34e3e3533092”h2NhNh3(Œaiohttp >=3,<4”Œgraphql-core >=2.3,<3”Œgraphql-server-core >=1.2,<2”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×«Í—?¾whEM·.hFˆubh)”}”(hŒoommfc”h#Œ0.64.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"oommfc-0.64.0-pyhd8ed1ab_0.tar.bz2”h+Œ 80380a905c73dee91c716c5caa24a174”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/oommfc-0.64.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3f0b7182491753d94158181498709ddcbc1e9c06163d3c6649419b858f17b08b”h2NhNh3(Œmicromagneticdata >=0.65.0”Œmicromagneticmodel >=0.63.0”Œmicromagnetictests >=0.63.0”Œoommf 2.0b0”Œpython >=3.8”Œubermagtable >=0.61.1”Œubermagutil >=0.63.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÔ\Q&5?hEMÓ¢hFˆubh)”}”(hŒr-fuzzyjoin”h#Œ0.1.6”h%Œr41ha770c72_0”h'K hhh(h)hŒ'r-fuzzyjoin-0.1.6-r41ha770c72_0.tar.bz2”h+Œ d3b74a5674949008e8caafa4a811883b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fuzzyjoin-0.1.6-r41ha770c72_0.tar.bz2”h0Œ@0458202fd5995049850679f62766df068173905b803749ec521a944a6e41f8c7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-geosphere”Œr-purrr”Œr-stringdist”Œ	r-stringr”Œr-tidyr >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ ?çïžhEJÊ hFˆubh)”}”(hŒr-svdialogs”h#Œ1.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-svdialogs-1.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 4660aa40eb3c44e4bb54b5fe661e8e6e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-svdialogs-1.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@a8ee2d6a5338a336b1a9af68a50cfa53a34276d867fba8e7d04bf599ccf96d94”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rstudioapi >=0.7”Œr-svgui >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑþ
.‡+hEJÖa hFˆubh)”}”(hŒr-extremevalues”h#Œ2.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-extremevalues-2.3.3-r41hc72bb7e_0.tar.bz2”h+Œ c75cd18b173e094b165b57907a66a7e9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-extremevalues-2.3.3-r41hc72bb7e_0.tar.bz2”h0Œ@6e7792370d622adc750af218a3e67bd7b0264a21a11924266fe556dba2926dfd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gwidgets2”Œr-gwidgets2tcltk”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+' k"ÑhEJJ_ hFˆubh)”}”(hŒ
r-threeway”h#Œ1.1.3”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ)r-threeway-1.1.3-r42hc72bb7e_1003.tar.bz2”h+Œ 119ace6e194baf9a435902d08ed581c8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-threeway-1.1.3-r42hc72bb7e_1003.tar.bz2”h0Œ@ef65b6992368b2028d38fdc79cf8adbda4a12af77c391659e364ee913da61753”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ÷hÞÈ´hEJ Õ hFˆubh)”}”(hŒ	r-ggparty”h#Œ1.0.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ%r-ggparty-1.0.0-r42hc72bb7e_3.tar.bz2”h+Œ de96012a10907318f90903831ebd8932”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggparty-1.0.0-r42hc72bb7e_3.tar.bz2”h0Œ@b1529abb30221517e051d8193d4bcc53944e74408715c8cd6d0626d21d8fbe7f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-gtable”Œ
r-partykit”Œr-rlang”Œ
r-survival”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÒ½¯åÂhEJI	 hFˆubh)”}”(hŒr-fselector”h#Œ0.33”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-fselector-0.33-r41hc72bb7e_0.tar.bz2”h+Œ 70ef2e549522e48ee0f85a2e658db144”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-fselector-0.33-r41hc72bb7e_0.tar.bz2”h0Œ@75bdff63a3b6ebdf872363953e058e7739cc7c135cc422858d6cac1cf64c2fb4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œ	r-entropy”Œr-randomforest”Œr-rweka”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+'Žú-hEJu© hFˆubh)”}”(hŒheligeo”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"heligeo-1.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 93408430a5cf3577690811d1f4987aed”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/heligeo-1.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@897f0bed5d10751c7a3c366de8c56fdd302a6111a19594dcedb5514bec166e78”h2NhNh3(Œ
dash 2.0.0”Œdash-bootstrap-components”Œdash-core-components”Œdash-html-components”Œ
dash-table”Œnumpy”Œpandas”Œplotly”Œpython >=3.6”Œrequests”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØSp$÷ß;hEM!NhFˆubh)”}”(hŒ	r-gbutils”h#Œ0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-gbutils-0.5-r41hc72bb7e_0.tar.bz2”h+Œ 772de84d50d9d75862a8d6aa02f5ddee”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gbutils-0.5-r41hc72bb7e_0.tar.bz2”h0Œ@3081120e18ace4a32bc858061b447153ecc3bd24fc8de0d2628f3cf3881eaf79”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rdpack >=0.9”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÝ|ß®hEJáR hFˆubh)”}”(hŒchkconfig-cos6-x86_64”h#Œ1.3.49.5”h%Œha826a6f_103”h'Kghhh(h)hŒ3chkconfig-cos6-x86_64-1.3.49.5-ha826a6f_103.tar.bz2”h+Œ e3bac136bdbdcd766512a3ebebaafe22”h.Œahttps://conda.anaconda.org/conda-forge/noarch/chkconfig-cos6-x86_64-1.3.49.5-ha826a6f_103.tar.bz2”h0Œ@b43b748add554ac8345dad8850bc6f9df7cf65c5dbc8ad4a5438546f2f96c6c1”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Æ/¨œIºhEJ¬F hFˆubh)”}”(hŒr-gap.datasets”h#Œ0.0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-gap.datasets-0.0.5-r41hc72bb7e_0.tar.bz2”h+Œ 3c393f388d0bdd22f3031246820c7e95”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gap.datasets-0.0.5-r41hc72bb7e_0.tar.bz2”h0Œ@92bcb7f87039cab0d290a57faa69a0bb8b21dd4f22bc285ec891cafa24d545e0”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØŸÚ}§ïžhEJŸK7 hFˆubh)”}”(hŒlibxau-cos6-x86_64”h#Œ1.0.6”h%Œha826a6f_103”h'Kghhh(h)hŒ-libxau-cos6-x86_64-1.0.6-ha826a6f_103.tar.bz2”h+Œ e26a0bbd6b83d12c6bf2dc9d99aa2e03”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxau-cos6-x86_64-1.0.6-ha826a6f_103.tar.bz2”h0Œ@d0bfb4881b3916a9fb05752295ea6ad7fadc8323f55c796ff5181d25c07c5f2e”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ÏÎffhEMŠPhFˆubh)”}”(hŒr-gistr”h#Œ0.9.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-gistr-0.9.0-r41hc72bb7e_1.tar.bz2”h+Œ 59033c75634a4a2c58fa6c51d1d68267”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gistr-0.9.0-r41hc72bb7e_1.tar.bz2”h0Œ@1e01bec26aee8bd8df531196c532dc2aa88673b5bac07e58ae7bb64c7ea7487a”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-crul”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ
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r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×«í¸KÇhEM½hFˆubh)”}”(hŒrx”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒrx-3.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 71389d607364cb44b36512dcfb03082f”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/rx-3.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@667a0ed63472ac2166450797840b3b63be06dd536bf14ed67c823960cd7c64b5”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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setuptools”Œtensorflow-gpu 1.14.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ºÍª“uhEM“hFˆubh)”}”(hŒmp-time-split”h#Œ0.2.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ&mp-time-split-0.2.0-hd8ed1ab_0.tar.bz2”h+Œ 753ab288039515493cf7f3abf634845e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/mp-time-split-0.2.0-hd8ed1ab_0.tar.bz2”h0Œ@dbf70acf42d037c5f2b6d023d2c4072c3e0cc9d90fcc8e8dfe23af7c8fec377b”h2NhNh3Œ mp_time_split 0.2.0 pyhd8ed1ab_0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ»TÙ†$ÝhEMÿhFˆubh)”}”(hŒgreenery”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#greenery-4.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4720dacc4e3aee754687b09119cc196e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/greenery-4.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0a5ba4f21d3a090782722038e752cdd593fa30d87bf75893c4ade3be2cab6396”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÛAIë…hEM„›hFˆubh)”}”(hŒr-paireddata”h#Œ1.1.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ(r-paireddata-1.1.1-r40h6115d3f_1.tar.bz2”h+Œ 1c9aaae57ddf95ef367340578744dd2c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paireddata-1.1.1-r40h6115d3f_1.tar.bz2”h0Œ@fbd45178167975b17ad264c15ed52d82114b22af979ca33581bed4dca6f3f9de”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-gld”Œ	r-lattice”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯¼a%hEJè hFˆubh)”}”(hŒgraphql-core”h#Œ3.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'graphql-core-3.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 87cafe8c7638a5ac6fd8ec8fb01f1508”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/graphql-core-3.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@6f7da913ecad98951cadfe512af2c3979fbff752bf714da66760701e5463dd29”h2NhNh3Œpython >=3.6”Œtyping_extensions >=4,<5”†”h9h?h@ŒMIT”hBŒMIT”hDGAØËkë‡+hEJ÷˜ hFˆubh)”}”(hŒtensortrade”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&tensortrade-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 8653f43cd217d6c468c290a6f7f9b9d7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/tensortrade-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@8b8b0a4e30508e598ab0ab4c189259533a158bd7df9ef1e49c0ad36aa0908421”h2NhNh3(Œgym >=0.14.0”Œipython >=7.12.0”Œmatplotlib-base >=3.1.1”Œnumpy >=1.17.0”Œpandas >=0.25.0”Œplotly >=4.5.0”Œpython >=3.6”Œpyyaml >=5.1.2”Œstochastic >=0.6.0”Œtensorflow >=2.1.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ&dž÷²hEJæ hFˆubh)”}”(hŒ	r-fdboost”h#Œ1.1_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-fdboost-1.1_1-r41hc72bb7e_1.tar.bz2”h+Œ 7ee364d28a6f143ed4c7615b3c235366”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-fdboost-1.1_1-r41hc72bb7e_1.tar.bz2”h0Œ@b9bd9404803d52c1f84f503d836b99fb5d0c52f8977fe9926de5bd5e251dfdf0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gamboostlss >=2.0_0”Œr-mass”Œr-matrix”Œr-mboost >=2.8_0”Œr-mgcv”Œr-stabs”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒl‹hEJY4 hFˆubh)”}”(hŒdictpath”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dictpath-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ d46d71e372545d8a07da510a390dc1e2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dictpath-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@95b86331eb493236f2f1a3b0124c06e3861418b8b92f1559eb3e3f0585c08919”h2NhNh3Œpython >=3.6”Œsix”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ%eU6ùÛhEM¾6hFˆubh)”}”(hŒdropboxdrivefs”h#Œ1.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'dropboxdrivefs-1.3-pyh9f0ad1d_0.tar.bz2”h+Œ a2f9ceb9cb8a20d60f51419c053ecf31”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dropboxdrivefs-1.3-pyh9f0ad1d_0.tar.bz2”h0Œ@3cf985b6df0ba9ba8f8cbb7c7f16278c55d8e712733908c39f16ddf0c0870cb3”h2NhNh3(Œdropbox”Œfsspec”Œpython”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×²Z4í‘hEM± hFˆubh)”}”(hŒr-kimisc”h#Œ0.4”h%Œr351h6115d3f_0”h'K hhh(h)hŒ#r-kimisc-0.4-r351h6115d3f_0.tar.bz2”h+Œ 2433b474c6d2e8b4a16a4702efb69deb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-kimisc-0.4-r351h6115d3f_0.tar.bz2”h0Œ@941aa0e798cf56be9b1c0e2f2fc3e9af669163323409d636d05dcad7041ad614”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-memoise”Œr-plyr”Œr-pryr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×exbhEJŒ hFˆubh)”}”(hŒr-summarytools”h#Œ1.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-summarytools-1.0.1-r40hc72bb7e_0.tar.bz2”h+Œ 555e9634c98358eb5347146f1ec5dbcb”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-summarytools-1.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@3ed76f01d7e1d1795129db9d8746d4e94e5c44fcd13e83db249659ac73930080”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-checkmate”Œr-dplyr”Œr-htmltools”Œr-lubridate”Œr-magick”Œr-matrixstats”Œr-pander”Œr-pryr”Œr-rapportools”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¡áµ\›¦hEJ¯S hFˆubh)”}”(hŒconda-execute”h#Œ0.9.0”h%Œpy_0”h'K hhh(h)hŒ conda-execute-0.9.0-py_0.tar.bz2”h+Œ c64b020921764b411a55c51b04d9db3c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/conda-execute-0.9.0-py_0.tar.bz2”h0Œ@1a7ac102f6ccc7086bc2311e249a5b8aabc3d24129cba6f38a4498a22215ced9”h2NhNh3(Œconda >=4.2.0”Œpsutil”Œpython”Œpyyaml”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖÂ!eNÙhEM,hFˆubh)”}”(hŒlibxi-cos7-aarch64”h#Œ1.7.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libxi-cos7-aarch64-1.7.9-h9b0a68f_105.tar.bz2”h+Œ 2dc6152ffce6b5d46c1cba95e20e4185”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-aarch64-1.7.9-h9b0a68f_105.tar.bz2”h0Œ@61b22fe59ab0b9607b42531227d07075a321e6bf9748a03516de12330ff41443”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^IÖhEM™‘hFˆubh)”}”(hŒpocket”h#Œ0.3.6”h%Œpy_1”h'Khhh(h)hŒpocket-0.3.6-py_1.tar.bz2”h+Œ ccb5880e47c25bd3f7276aa68d876327”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pocket-0.3.6-py_1.tar.bz2”h0Œ@a666a28d633f430d2b880e31a936bc87d8a84b56d0dd945476b989fa4eb17b21”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖÓ 0N5?hEMghFˆubh)”}”(hŒconda-prefix-replacement”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒ+conda-prefix-replacement-0.1.1-py_0.tar.bz2”h+Œ 852df68d66893848419a75c74af04485”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/conda-prefix-replacement-0.1.1-py_0.tar.bz2”h0Œ@d599967c490d43f420ad2e877bfb7f332047a8aa092b16215a60f2693da21efa”h2NhNh3Œpython”Œsix”Œtqdm”‡”h9h?h@ŒBSD-3”hBŒBSD”hDGA×g§G˜ ÅhEMD0hFˆubh)”}”(hŒ
r-sigclust”h#Œ1.1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-sigclust-1.1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ 72030f3e41d4b567f3523e6dc37693cd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sigclust-1.1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@8499efe9ef52cbc088b764466287d653b2e0cd574341e13d5140a3aa82732c42”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ§ðhEM÷hFˆubh)”}”(hŒgremlinpython”h#Œ3.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(gremlinpython-3.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 87a0d6f8cd8af0ae214316e119bc3a0b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/gremlinpython-3.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d4aa92fe2ef2d12687c73f2fc65677ed47d13103bc7c0694d758a782df09feac”h2NhNh3(Œaenum >=1.4.5,<3.0.0”Œaiohttp >=3.8.0,<=3.8.1”Œisodate >=0.6.0,<1.0.0”Œnest-asyncio”Œpython >=3.6”Œsix >=1.10.0,<2.0.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ‰”Ú-hEMø¯hFˆubh)”}”(hŒlibxtst-devel-cos6-x86_64”h#Œ1.2.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libxtst-devel-cos6-x86_64-1.2.3-h9b0a68f_105.tar.bz2”h+Œ 01b09e5715b8821216304e5c49c93bd0”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos6-x86_64-1.2.3-h9b0a68f_105.tar.bz2”h0Œ@6491b69739b9006d6f24e433f10b38577ddb576d2ffa440604832fbff1f6b5cf”h2NhNh3Œ!libxtst-cos6-x86_64 ==1.2.3 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\PhEMU2hFˆubh)”}”(hŒpypng”h#Œ0.20220715.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pypng-0.20220715.0-pyhd8ed1ab_0.tar.bz2”h+Œ cf96bf87b69d217758af7be717c40236”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pypng-0.20220715.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9bd7710a2b361b4956a3c1d94971bce3239b1078dec1e94555bf66179a1d7f11”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ´~CŽVhEMb¾hFˆubh)”}”(hŒr-celestial”h#Œ1.4.6”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ'r-celestial-1.4.6-r41hc72bb7e_2.tar.bz2”h+Œ 543372565b6d97debcfbc28018c46b42”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-celestial-1.4.6-r41hc72bb7e_2.tar.bz2”h0Œ@c8329f56980219bf2c0539cbc44ca49d5f24a36ff4cb2a702be1aeb81918660b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-nistunits”Œr-pracma”Œr-rann”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+šG;dhEJÂá hFˆubh)”}”(hŒpylint”h#Œ2.10.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pylint-2.10.2-pyhd8ed1ab_0.tar.bz2”h+Œ 225b1f926cc3b8065d504af268afa942”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pylint-2.10.2-pyhd8ed1ab_0.tar.bz2”h0Œ@568f090566156ad5ac0a607b1b19b948d2e658ab7f3ceacb4cfbb0be84835cc1”h2NhNh3(Œastroid >=2.7.2,<2.8”Œcolorama”Œisort >=4.2.5,<6”Œmccabe >=0.6,<0.7”Œplatformdirs >=2.2.0”Œpython >=3.6,<4”Œtoml >=0.7.1”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØI÷ç+hEJ0û hFˆubh)”}”(hŒjupyter_contrib_core”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/jupyter_contrib_core-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 411e592d362f923fac66550b9c3ce25e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/jupyter_contrib_core-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b8d6b20123189bb13a2f8085bd50452c1401af99812b77395e9a55a4ee4fb48b”h2NhNh3(Œjupyter_core”Œnotebook >=4.0”Œpython >=3.6”Œ
setuptools”Œtornado”Œ	traitlets”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ³Ö&éhEMFhFˆubh)”}”(hŒr-r.huge”h#Œ0.9.0”h%Œr36_1002”h'Mêhhh(h)hŒr-r.huge-0.9.0-r36_1002.tar.bz2”h+Œ bf266fd744fb10c8cf51b3f829ca0769”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-r.huge-0.9.0-r36_1002.tar.bz2”h0Œ@324de48a089655a6d314730f69b86a66816e115654544ba9e5136baf3794c823”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-r.methodss3 >=1.7.0”Œr-r.oo >=1.18.0”Œr-r.utils >=1.34.0”t”h9hºh@ŒLGPL (>= 2.1)”hBŒLGPL”hDGA×LdP®VhEJói hFˆubh)”}”(hŒ
spyder-vim”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%spyder-vim-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0255f7546c0807cf8f370dbde15358dc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/spyder-vim-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1a7e0a60e50b6c85107f0e9caa8cf61b7600831ba9a7011913fc79c52c36f807”h2NhNh3(Œpython >=3.7”Œ	qtawesome”Œqtpy”Œspyder >=5.3.3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÑ¿k„ÌÍhEMêKhFˆubh)”}”(hŒ libxcomposite-devel-cos7-ppc64le”h#Œ0.4.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ;libxcomposite-devel-cos7-ppc64le-0.4.4-hdf0574f_102.tar.bz2”h+Œ 2cd0acf1baf963307f6ad75891556999”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos7-ppc64le-0.4.4-hdf0574f_102.tar.bz2”h0Œ@b6003b041df52ea522408c854375d4d55e4213a3b145079ccc1d514fe7d89019”h2NhNh3Œ(libxcomposite-cos7-ppc64le ==0.4.4 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶ÔUp¤hEMN+hFˆubh)”}”(hŒ	tango-atk”h#Œ9.3.28”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ#tango-atk-9.3.28-hd8ed1ab_0.tar.bz2”h+Œ e9d7860b5d8f9e6bfc667f989808d53e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tango-atk-9.3.28-hd8ed1ab_0.tar.bz2”h0Œ@5184ef4eac3503e5158eb3ed022e2ccc07321501e2a93c5778b286227663d51b”h2NhNh3Œjtango >=9.6.8,<10.0.0”Œopenjdk >=8”†”h9hºh@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ©å¶0A‰hEJ#¤hFˆubh)”}”(hŒpptree”h#Œ3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpptree-3.1-pyhd8ed1ab_0.tar.bz2”h+Œ ff81da823e1914cd89994ea08944ca4d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pptree-3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@033d9ebb4b53d149bc0de343fe47a1b434753bd975fc22eb0702918df4d86b49”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ–!5ó¶hEM¶"hFˆubh)”}”(hŒr-catt”h#Œ2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ r-catt-2.0-r40hc72bb7e_0.tar.bz2”h+Œ d117f8c945002933b35fde772a07a998”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-catt-2.0-r40hc72bb7e_0.tar.bz2”h0Œ@9e8f6ce142b9f087a79b2cd4d89aa0aa618d2b0af17edae3d95dacdd5427a5d8”h2NhNh3Œr-base 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Artistic-1.0-Perl”hBŒOTHER”hDGAØc€?|îhEM{hFˆubh)”}”(hŒr-prettygraphs”h#Œ2.1.6”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ*r-prettygraphs-2.1.6-r42hc72bb7e_3.tar.bz2”h+Œ e70b86a7fe42120e0437142582689ae1”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-prettygraphs-2.1.6-r42hc72bb7e_3.tar.bz2”h0Œ@4bcee7f80f75f955e4e2979a0450441184a7a3318a0fc5d669de39676dd8470a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑÉ4Ý/hEJE{ hFˆubh)”}”(hŒlibglvnd-cos7-aarch64”h#Œ1.0.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libglvnd-cos7-aarch64-1.0.1-h9d98e8f_104.tar.bz2”h+Œ 014b4db4e5a2d87e89dac30d883bf729”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libglvnd-cos7-aarch64-1.0.1-h9d98e8f_104.tar.bz2”h0Œ@3f550169d6a3e0850db7bbc8ba799ed6c25b297f279eb0c1280519e4be0b9a77”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy*Zn˜hEJFë hFˆubh)”}”(hŒbokeh”h#Œ2.4.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ bokeh-2.4.3-pyhd8ed1ab_1.tar.bz2”h+Œ 877e0a31f0e8275cd43c618f8b5b111e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/bokeh-2.4.3-pyhd8ed1ab_1.tar.bz2”h0Œ@d38f543349641b3d29f5702612729ec3f92ac1d74b2fc3839013ddf59268a82d”h2NhNh3(Œjinja2 >=2.9”Œnumpy >=1.11.3”Œpackaging >=16.8”Œpillow >=7.1.0”Œpython >=3.7”Œpyyaml >=3.10”Œtornado >=5.1”Œtyping_extensions >=3.10.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¼š½ÄÌÍhEJ'%Ô hFˆubh)”}”(hŒlibsoup-cos7-x86_64”h#Œ2.62.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libsoup-cos7-x86_64-2.62.2-h9d98e8f_1104.tar.bz2”h+Œ 8a7e0d6ccb9cbc7692ddef3b524ee0c8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-x86_64-2.62.2-h9d98e8f_1104.tar.bz2”h0Œ@d422454c3655d9c4226ab00794ac9076e719f1f8cb3d4c9fab8c0a1c5facac49”h2NhNh3Œ+glib-networking-cos7-x86_64 >=2.38.0 *_1104”Œ!glib2-cos7-x86_64 >=2.38.0 *_1104”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É}÷›…hEJmg hFˆubh)”}”(hŒr-invariantcausalprediction”h#Œ0.8”h%Œr35h6115d3f_0”h'K hhh(h)hŒ5r-invariantcausalprediction-0.8-r35h6115d3f_0.tar.bz2”h+Œ 4c227efd4776b8d7819886b24e6957cb”h.Œchttps://conda.anaconda.org/conda-forge/noarch/r-invariantcausalprediction-0.8-r35h6115d3f_0.tar.bz2”h0Œ@d4f4625a68a794f4d2327634e6d9dc43902cf500e7d49e938191f884fd21b60b”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-glmnet”Œr-mboost”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×rô#Æ¨hEJ¾Œ hFˆubh)”}”(hŒ xorg-x11-util-macros-cos6-x86_64”h#Œ1.19.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ=xorg-x11-util-macros-cos6-x86_64-1.19.0-h9b0a68f_1105.tar.bz2”h+Œ c81c06327300ef3ed323308bf0001957”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos6-x86_64-1.19.0-h9b0a68f_1105.tar.bz2”h0Œ@3f6554576d8db7ef29e4cdfadad05c4f78c3c7ba380d444ea328998f9df865dc”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@W’°ÄœhEMi«hFˆubh)”}”(hŒs3cmd”h#Œ2.0.2”h%Œpy_0”h'K hhh(h)hŒs3cmd-2.0.2-py_0.tar.bz2”h+Œ 34ffea0a6eff76d058f0473a455836ca”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/s3cmd-2.0.2-py_0.tar.bz2”h0Œ@c6d5d3b3997eb333ba5b7158d41f94fa6728a8b0f89add8626dafc8b394f9ce7”h2NhNh3Œpython”Œpython-dateutil”Œpython-magic”‡”h9h?h@ŒGPL v2”hBŒGPL”hDGA×m}èbhEJ]« hFˆubh)”}”(hŒhere-location-services”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1here-location-services-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ b18f599908992ab3ee75bfb88641dc72”h.Œ_https://conda.anaconda.org/conda-forge/noarch/here-location-services-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@950f1b66654144840defecb897def66911b6be4e49d47be0e496d775cb2568db”h2NhNh3(Œflexpolyline”Œgeojson”Œpandas”Œpyhocon”Œpython >=3.6”Œrequests”Œrequests-oauthlib”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØMÐ·²hEMx«hFˆubh)”}”(hŒ python-javapackages-cos7-aarch64”h#Œ3.4.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ;python-javapackages-cos7-aarch64-3.4.1-h9d98e8f_104.tar.bz2”h+Œ 606cae18fcccb8c381ed24a0ead6ecf0”h.Œihttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-aarch64-3.4.1-h9d98e8f_104.tar.bz2”h0Œ@578f7c063094c890613d9b7260fc69dab2d916213f62098f49cb629ded1619d4”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Éy»Èå`hEM_2hFˆubh)”}”(hŒr-esabcv”h#Œ1.2.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-esabcv-1.2.1.1-r40hc72bb7e_0.tar.bz2”h+Œ 2e75c6d77f81ffdc325b0962140d5e98”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-esabcv-1.2.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@1342632f2ea8e6aef74b18d9ea6d7867a9173be010ce540f407af5b34d8b92ae”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-corpcor”Œr-svd”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ¯þ-hEJ‘ hFˆubh)”}”(hŒr-fail”h#Œ1.3”h%Œr40_1002”h'Mêhhh(h)hŒr-fail-1.3-r40_1002.tar.bz2”h+Œ 36486cae1b57b4c8610d6c191e47277c”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-fail-1.3-r40_1002.tar.bz2”h0Œ@4c51208b52fc2ca7f0682255ea3b2aa857f26430f264558ce7f8eb5e51f34ebf”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-bbmisc”Œr-checkmate”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×¬Ïñ|ZhEM:ÏhFˆubh)”}”(hŒ	r-deepnet”h#Œ0.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-deepnet-0.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 148a88b0eae5afa1d752831a7281e231”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-deepnet-0.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@b304e3ecc3ddf5d0dd9324b29eeec95e94c6eab1fd822e94ba16770c76e8c264”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ32µp¤hEJm5 hFˆubh)”}”(hŒlibxcomposite-devel-cos6-x86_64”h#Œ0.4.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ:libxcomposite-devel-cos6-x86_64-0.4.3-h9d98e8f_104.tar.bz2”h+Œ 1ba22432bc49b4befc0ff5923fbafddd”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos6-x86_64-0.4.3-h9d98e8f_104.tar.bz2”h0Œ@2a28c2d80bb65478d630c51d138f98d686a929779def8de5c3858f16313b6ab4”h2NhNh3Œ'libxcomposite-cos6-x86_64 ==0.4.3 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{—bMÓhEM=,hFˆubh)”}”(hŒ xorg-x11-util-macros-cos6-x86_64”h#Œ1.19.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ=xorg-x11-util-macros-cos6-x86_64-1.19.0-hdf0574f_1102.tar.bz2”h+Œ bdde0fac841987aa7ccd27ea1fd314a8”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos6-x86_64-1.19.0-hdf0574f_1102.tar.bz2”h0Œ@ab12e0b876595a108cb179ffa68447b3981c51e85dfacaa7b3123a39e93a84e7”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;•;33hEM¨hFˆubh)”}”(hŒshove”h#Œ0.6.6”h%Œpy_0”h'K hhh(h)hŒshove-0.6.6-py_0.tar.bz2”h+Œ 784dbf96bfce6b49501c4b4a693689df”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/shove-0.6.6-py_0.tar.bz2”h0Œ@939bd586e5b3a57e0609f3fc596520df6ac44757a10d49dd78328ae79c2c390b”h2NhNh3Œpython”Œ
setuptools”Œstuf >=0.9.14”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×!L>ÙhEM7hFˆubh)”}”(hŒ	r-titanic”h#Œ0.1.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ%r-titanic-0.1.0-r42h785f33e_1.tar.bz2”h+Œ 685b861eab67dda92a8612732e8f8e06”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-titanic-0.1.0-r42h785f33e_1.tar.bz2”h0Œ@d6ecfb0f0100f64d8f5f9d954a6a5b2ca32f40801c5b8818a10d5f0998be0d22”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒCC0-1.0”hDGAØÑöò>$ÝhEJ9a hFˆubh)”}”(hŒkeras-spiking”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(keras-spiking-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 070a38d6f6640bb1d5289ec049aa4fb8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/keras-spiking-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@10fa77a81eea76d36f91bf59e0751ba62b11aea874be9f505929c6b92e84f2d9”h2NhNh3(Œnumpy”Œ	packaging”Œpython >=3.6”Œtensorflow >=2.1.0”t”h9h?h@ŒLicenseRef-NENGO”hDGAØyž«çmhEM…hFˆubh)”}”(hŒr-lmms”h#Œ1.3.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-lmms-1.3.3-r35h6115d3f_0.tar.bz2”h+Œ ecff5f413386f62d50fa23d9b97a1afa”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmms-1.3.3-r35h6115d3f_0.tar.bz2”h0Œ@c911fbba04e8cb9e9ade1fe8ebd65733df6bfb72de1f10da39daf2ee5af9d2f9”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-gdata”Œ	r-ggplot2”Œr-gplots”Œr-gridextra”Œr-lmesplines”Œr-nlme”Œ
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r-magrittr”Œ	r-nortest”Œr-sjmisc”Œ	r-stringr”Œ
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GPL (>= 3)”hBŒGPL3”hDGA×¬‘OIXhEJˆ³
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GPL (>= 2)”hBŒGPL3”hDGA×¬á"3¶FhEJ	C2 hFˆubh)”}”(hŒdask”h#Œ2021.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"dask-2021.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ cda219dca516190545db876494668a21”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/dask-2021.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e58cafca6faf5a77be4b4023bee58f2025affc1ca54c7f559277c4de7b578933”h2NhNh3(Œbokeh >=1.0.0,!=2.0.0”Œcytoolz >=0.8.2”Œdask-core 2021.8.1.*”Œdistributed 2021.8.1.*”Œjinja2”Œnumpy >=1.18”Œpandas >=1.0,<2”Œpython >=3.7”t”h6Œopenssl !=1.1.1e”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØH+§1hEM=hFˆubh)”}”(hŒr-learnbayes”h#Œ2.15.1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ,r-learnbayes-2.15.1-r40hc72bb7e_1002.tar.bz2”h+Œ 804c4f4aa8bff422dc6f65cc1743a2be”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-learnbayes-2.15.1-r40hc72bb7e_1002.tar.bz2”h0Œ@f731e9709e4ffe55de9b18d0db856ed1a40ca0e33c6d88086035111c96352ff0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*ÙÜX£×hEJ hFˆubh)”}”(hŒftfy”h#Œ6.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒftfy-6.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 137b1d09e852acd217840a7177d3669b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ftfy-6.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0460feee103ec6da883e4ae1f49bf6886797ad06a26c8682f86080013226fa43”h2NhNh3Œpython >=3.6,<3.9”Œ
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r-anesrake”h#Œ0.80”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-anesrake-0.80-r42hc72bb7e_1.tar.bz2”h+Œ e41aae649f40743967f30577ab9d7c07”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-anesrake-0.80-r42hc72bb7e_1.tar.bz2”h0Œ@4f328c1bfa35b7f483b96b9f3809e19163579b905d111d589cd247bc28b2d6bd”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-hmisc”Œ	r-weights”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓ3PhEJëZ hFˆubh)”}”(hŒrandomcolor”h#Œ0.4.4.6”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ(randomcolor-0.4.4.6-pyhd8ed1ab_1.tar.bz2”h+Œ 84bf6d58b6f781e53aa6802b792bdbff”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/randomcolor-0.4.4.6-pyhd8ed1ab_1.tar.bz2”h0Œ@bb2a8edd726f23f1ec9238aa52964828abed8a83bbc4f34361deb48e4f5773f6”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØañmú^5hEMchFˆubh)”}”(hŒpyoos”h#Œ0.8.4”h%Œpy_1”h'Khhh(h)hŒpyoos-0.8.4-py_1.tar.bz2”h+Œ 8cbd51a9b796e43cb3f7ecb6cb194be7”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pyoos-0.8.4-py_1.tar.bz2”h0Œ@8da49879c4de97824398f124cbe22727ecc5b4e9cd1f233cdc47e103510d7f2d”h2NhNh3(Œbeautifulsoup4”Œfiona”Œlxml”Œnumpy”Œowslib”Œpaegan”Œpython”Œrequests”t”h9h?h@ŒGPL-3.0”hDGAÖÐÒJØå`hEMx‰hFˆubh)”}”(hŒr-rideogram”h#Œ0.2.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-rideogram-0.2.2-r40hc72bb7e_1.tar.bz2”h+Œ 9a20dcbf034558022402b29a022d6534”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rideogram-0.2.2-r40hc72bb7e_1.tar.bz2”h0Œ@26500a11a4582b92a18d80e34eacd7d3374da67f2896a511f3da23e3d5d7419a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-grimport2”Œr-rsvg”Œr-scales”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ,_lçmhEJ÷Š) hFˆubh)”}”(hŒfribidi-cos7-ppc64le”h#Œ1.0.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/fribidi-cos7-ppc64le-1.0.2-h9d98e8f_104.tar.bz2”h+Œ 189b56da9f364bf7c55f35ec58cc9fd7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-ppc64le-1.0.2-h9d98e8f_104.tar.bz2”h0Œ@c075c4b411bd891df5d02586b733b56e405da4d72d6dd14149ecc7701eada829”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGA×Éy×ß;hEJ;; hFˆubh)”}”(hŒ
r-searcher”h#Œ0.0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-searcher-0.0.6-r41hc72bb7e_1.tar.bz2”h+Œ aaf10f2e94d5eac5a7c2b3e3b6a9155a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-searcher-0.0.6-r41hc72bb7e_1.tar.bz2”h0Œ@a64a3562f771d4791e1d6c4db8ea83cbc0e47ef25970f531f116383b5560fd32”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ£5ó¶hEJ¸= hFˆubh)”}”(hŒnbsmoke”h#Œ0.5.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"nbsmoke-0.5.0-pyh9f0ad1d_0.tar.bz2”h+Œ 1a9d51deef8e6a83a5d594235172401a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/nbsmoke-0.5.0-pyh9f0ad1d_0.tar.bz2”h0Œ@e9c66350b3569098be6ed119f5f239d9d49993b032ff0c1d47329f3415b6504e”h2NhNh3(Œbeautifulsoup4”Œ	ipykernel”Œjupyter_client”Œ	nbconvert”Œnbformat”Œpyflakes”Œpytest >=3.1.1”Œpython >=2.7”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA××Þ{KÇhEMÆdhFˆubh)”}”(hŒ
vtkwriters”h#Œ0.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%vtkwriters-0.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ a59ce6edc8e453943934bff86bbec948”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/vtkwriters-0.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@3c739e82c6349b7a56a8a368e36d72da93a2d42d44a2aa441386e1ac6d70427a”h2NhNh3Œnumpy”Œpython >=3.6”Œverstr”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØœþG  ÅhEMhhFˆubh)”}”(hŒ	r-nor1mix”h#Œ1.3_0”h%Œr36_2”h'Khhh(h)hŒr-nor1mix-1.3_0-r36_2.tar.bz2”h+Œ e0e9150162bee027d3870b55b7481209”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-nor1mix-1.3_0-r36_2.tar.bz2”h0Œ@46a8eb21e25022975601e211a1de07c4b1acb6d09307e97cfddb638c13001eb0”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ÿ™XhEJ|@ hFˆubh)”}”(hŒ	wxyz_core”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$wxyz_core-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 54d46313b38988fe86ea8db8691569f6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/wxyz_core-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b4e43328c53e98c147e33116abd1e40238eae08d90c59a8b7255e997e53d507e”h2NhNh3(Œ
ipywidgets”Œjsonpointer”Œjupyterlab >=3,<4”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ.žŽ:ÀƒhEM¤ùhFˆubh)”}”(hŒr-argumentcheck”h#Œ0.10.2”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ/r-argumentcheck-0.10.2-r41hc72bb7e_1004.tar.bz2”h+Œ f88f18bb96f7a895dae9c23d69dfafe7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-argumentcheck-0.10.2-r41hc72bb7e_1004.tar.bz2”h0Œ@0e22f8ac864d15188e7bb027c685e48d39dd8c0417e5dc61b1610c1fdfa7a44e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ©ÿqG®hEM‚ÉhFˆubh)”}”(hŒxeger”h#Œ0.3.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ xeger-0.3.5-pyhd8ed1ab_0.tar.bz2”h+Œ 3153cb49052fcd24804a4f94bd180229”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/xeger-0.3.5-pyhd8ed1ab_0.tar.bz2”h0Œ@37e8ac1ddfe0e2836414c8f2c21211a9c1e56f0d42bf037d81dce5ceaa142e67”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¶]Ù²-hEM&hFˆubh)”}”(hŒskrebate”h#Œ0.62”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"skrebate-0.62-pyhd8ed1ab_0.tar.bz2”h+Œ f2c4a41751d629c6c7fcaa5128f42330”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/skrebate-0.62-pyhd8ed1ab_0.tar.bz2”h0Œ@05b72550f34cfc8d505224eccfd74c07e572f68fc047f45975a01268153456c8”h2NhNh3(Œnumpy”Œpandas”Œpython >=2.7”Œscikit-learn”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ
Ê8[33hEM%ThFˆubh)”}”(hŒr-tidymultiqc”h#Œ1.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-tidymultiqc-1.0.3-r41hc72bb7e_1.tar.bz2”h+Œ d4e0ae481101cccba347faedd624b916”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tidymultiqc-1.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@cdc9d096bec21c8c06ddfcbf43f776d87e3b5e70b9f70b9ebc063e1d2008dd24”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-histdat >=0.2.0”Œ
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r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ÷?T¬hEJ”¬ hFˆubh)”}”(hŒnss-softokn-cos7-x86_64”h#Œ3.44.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4nss-softokn-cos7-x86_64-3.44.0-h9d98e8f_1104.tar.bz2”h+Œ 02331383cd97d3af61340a4dcf8d7f9f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-x86_64-3.44.0-h9d98e8f_1104.tar.bz2”h0Œ@4041c8e7922cc5b3c2e46bc24ebb47561944c6af62c03ef8fe2e1fbaace5f1a7”h2NhNh3(Œ nspr-cos7-x86_64 >=4.21.0 *_1104”Œ.nss-softokn-freebl-cos7-x86_64 >=3.44.0 *_1104”Œ$nss-util-cos7-x86_64 >=3.44.0 *_1104”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É1'hEJ	 hFˆubh)”}”(hŒr-cmm”h#Œ0.12”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-cmm-0.12-r41hc72bb7e_0.tar.bz2”h+Œ abc2d143a345fcb63936fcb098fe5c01”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cmm-0.12-r41hc72bb7e_0.tar.bz2”h0Œ@223b1f57b7d2164140759cb935f00a71a35ea649e6fb6fa8cdb9cc4e1b7ab95a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØoŠ®ž¸RhEJ³¢ hFˆubh)”}”(hŒlibxdamage-devel-cos7-aarch64”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ9libxdamage-devel-cos7-aarch64-1.1.4-hdf0574f_1102.tar.bz2”h+Œ e9f07c643eda5e943c1714e712374607”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-aarch64-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@2a17b7ac2fd67714deab9462c7c0203d74fb401d82e356ec2842a284e5a3a3bf”h2NhNh3Œ&libxdamage-cos7-aarch64 ==1.1.4 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ê¾whEMhFˆubh)”}”(hŒr-ggpage”h#Œ0.2.3”h%Œr35h6115d3f_1”h'Khhh(h)hŒ$r-ggpage-0.2.3-r35h6115d3f_1.tar.bz2”h+Œ 04961293187c19c5f5cac5a93720647b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggpage-0.2.3-r35h6115d3f_1.tar.bz2”h0Œ@81ce424dce29b7c03919a75e239d313e153e0ccced451f762ecd9cc1f73464e5”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-dplyr”Œr-ggplot2 >=2.0.0”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tidytext >=0.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×M ¯
=hEJÞõ hFˆubh)”}”(hŒcowpy”h#Œ1.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cowpy-1.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 422155c9177d4340b7ceed56c8d9428b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cowpy-1.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@b204ab0109971e4fa5f77598eaf8e6790e88c3f8129f4690d498cd5faa8b9645”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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r-circlize”h#Œ0.4.15”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-circlize-0.4.15-r42hc72bb7e_1.tar.bz2”h+Œ 1d0a7637e2015a9b33bc149977192618”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-circlize-0.4.15-r42hc72bb7e_1.tar.bz2”h0Œ@6ec650e552db96eb81b5f045e596d02eafe9bdb5aa8c8fac6160a8b59ff1c143”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-globaloptions >=0.1.0”Œr-shape”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐéÑ%/hEJw3 hFˆubh)”}”(hŒr-teachingdemos”h#Œ2.12”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ*r-teachingdemos-2.12-r41hc72bb7e_2.tar.bz2”h+Œ 313a7c5418221447efde5ab1f80cc1a3”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-teachingdemos-2.12-r41hc72bb7e_2.tar.bz2”h0Œ@9bbef8e17e963bc348dc34ff31904cd03381efbc714101902dc5c57d6f8bfdd4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÐ±ë#çmhEJa> hFˆubh)”}”(hŒsphinx-book-theme”h#Œ0.2.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,sphinx-book-theme-0.2.0-pyhd8ed1ab_1.tar.bz2”h+Œ 3782bd0e365e836f7d49eb7e4bfeed8b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-0.2.0-pyhd8ed1ab_1.tar.bz2”h0Œ@276414852c77024d1ac5ce09874c55bceed1a247a26d8ef64e10e13924a91df2”h2NhNh3(Œbeautifulsoup4 >=4.6.1,<5”Œdocutils >=0.15,<0.17”Œ pydata-sphinx-theme >=0.7.2,<0.8”Œpython >=3.7”Œpyyaml”Œsphinx >=3,<5”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…< 7 hEJ}I hFˆubh)”}”(hŒr-shape”h#Œ1.4.6”h%Œr41ha770c72_0”h'K hhh(h)hŒ#r-shape-1.4.6-r41ha770c72_0.tar.bz2”h+Œ c165559022a370b5f5c66a328f47ba2c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-shape-1.4.6-r41ha770c72_0.tar.bz2”h0Œ@349f4acf2535a62269ff6037053fb402a5db4e3deac77455125ee2b7de05e21b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ*ØŒtjhEJ o hFˆubh)”}”(hŒxcb-util-image-cos7-x86_64”h#Œ0.4.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6xcb-util-image-cos7-x86_64-0.4.0-h9d98e8f_1104.tar.bz2”h+Œ 2b3b22c84a20ec047eacd87e649aadc5”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-cos7-x86_64-0.4.0-h9d98e8f_1104.tar.bz2”h0Œ@a9b32193f023cd29f29216df5611a2f8eb74fc4008c67d2cbfdfb491be92b47f”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓiÆÈ´hEM]<hFˆubh)”}”(hŒvalidate_email”h#Œ1.3”h%Œpy_3”h'Khhh(h)hŒvalidate_email-1.3-py_3.tar.bz2”h+Œ 57e7e8093a62fdff428c224d1d0c3ac1”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/validate_email-1.3-py_3.tar.bz2”h0Œ@7d2d34181105ef91d99b8cb408f85870a6fb453c6c99cccad4241a6d03562ee7”h2NhNh3Œpython”…”h9h?h@ŒLGPL”hBŒGPL”hDGA×B)»Â~úhEM hFˆubh)”}”(hŒr-nsyllable”h#Œ1.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-nsyllable-1.0.1-r40hc72bb7e_0.tar.bz2”h+Œ 0afe08b61ba750188b4acef2102538e9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-nsyllable-1.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@45039da53082bbfca30b471f447995b4b26fdeace732ef9d81066e2db61672d8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØˆk£×hEJÚw hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ+r-cellranger-1.1.0-r36h6115d3f_1002.tar.bz2”h+Œ 668e865a0f5f5655c800c064f40f19ea”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r36h6115d3f_1002.tar.bz2”h0Œ@5e94e69dea4a1421c45c8d3a8758a175339e878ba8f3ae1d3f157d5597ea0ad6”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Kþ…|(öhEJ“¬ hFˆubh)”}”(hŒxcb-util-keysyms-cos6-x86_64”h#Œ0.4.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7xcb-util-keysyms-cos6-x86_64-0.4.0-h9b0a68f_105.tar.bz2”h+Œ 4ce9ab89dd65fcfe08bb460712c60c69”h.Œehttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-cos6-x86_64-0.4.0-h9b0a68f_105.tar.bz2”h0Œ@62d6bf9b8d3d37b7c01404dcccaa9db49fa382551de54e2dca551f701e8c41e7”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØu#n×KÇhEMT-hFˆubh)”}”(hŒmesa-libgl-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ3mesa-libgl-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h+Œ 81feecee48fa86c3b4ea5877fa4cd7bb”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h0Œ@16ac22028045579a31558067b80242dad90badc32d1091b6579ba8117c8fb6e6”h2NhNh3Œ"libdrm-cos7-ppc64le >=2.4.83 *_102”Œ)mesa-libglapi-cos7-ppc64le ==18.3.4 *_102”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+1|îhEJÌð hFˆubh)”}”(hŒr-harmonicmeanp”h#Œ3.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-harmonicmeanp-3.0-r40hc72bb7e_0.tar.bz2”h+Œ 2fc5c28e0746ab459afb655354020b36”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-harmonicmeanp-3.0-r40hc72bb7e_0.tar.bz2”h0Œ@490a088be411bf947cc90e3d3005a725f243e9e6115ee000d9b5fd2175d6e6fb”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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©hFˆubh)”}”(hŒpymorphy2-dicts”h#Œ2.4.393442.3710985”h%Œpy_0”h'K hhh(h)hŒ/pymorphy2-dicts-2.4.393442.3710985-py_0.tar.bz2”h+Œ 2a803ecf6d2635218bc571de342d2de9”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pymorphy2-dicts-2.4.393442.3710985-py_0.tar.bz2”h0Œ@7f4a27c50473ec8a06084a71794dbf6a44b1db30f7b733d6df14f03953cf5300”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×nL"JhEJ$úb hFˆubh)”}”(hŒcore-js”h#Œ2.6.10”h%j3G h'K hhh(h)hŒcore-js-2.6.10-0.tar.bz2”h+Œ f135c6b531be3ea4215b69c297cb7bb2”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/core-js-2.6.10-0.tar.bz2”h0Œ@f0a386ffc23d04f2f059c23a63962c4d16b3a04fe23f699c7e71bf1746a7c0dc”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×o- A‰hEJ!C hFˆubh)”}”(hŒedit_distance”h#Œ1.0.4”h%Œpy_0”h'K hhh(h)hŒ edit_distance-1.0.4-py_0.tar.bz2”h+Œ 0585b99b3e2d6e1d508a1ffcd3023eb5”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/edit_distance-1.0.4-py_0.tar.bz2”h0Œ@97ce41e88bf0d10a38bbe62374e58473dfccc3abfa219b1eafe1b36c720e3549”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×zûvÉhEM4+hFˆubh)”}”(hŒr-dbplot”h#Œ0.3.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-dbplot-0.3.3-r35h6115d3f_0.tar.bz2”h+Œ 4469a258958a22138f85f3a0fec66582”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dbplot-0.3.3-r35h6115d3f_0.tar.bz2”h0Œ@6e61afdb1a6168f985725ca2a6e009616d8943a71556c6aae7b4b7792b9ea2e0”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-dplyr >=0.7”Œ	r-ggplot2”Œr-purrr”Œr-rlang >=0.4”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×B™ù©ühEJÚ” hFˆubh)”}”(hŒ	pytest-qt”h#Œ4.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pytest-qt-4.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ b42b9e94d3849c58a0dbaf3319a67bfa”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pytest-qt-4.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c3aae04c62aa1e01d435e27d5909affa9fd7411e5efe6f3e39e906b048c4d1d5”h2NhNh3Œpytest”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÖßß;hEM ˆhFˆubh)”}”(hŒpyld”h#Œ2.0.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒpyld-2.0.3-pyh9f0ad1d_0.tar.bz2”h+Œ 41ef210f5d38914f7c349f3698befe15”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyld-2.0.3-pyh9f0ad1d_0.tar.bz2”h0Œ@62a727050272f85b779c2e8a7863621e853b7e28db41b6a28bb00b6c8e228ef5”h2NhNh3(Œ
cachetools”Œ
frozendict”Œlxml”Œpython”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÞÇÉMÓhEM˜åhFˆubh)”}”(hŒ	r-infuser”h#Œ0.2.8”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ(r-infuser-0.2.8-r40h6115d3f_1003.tar.bz2”h+Œ 7619a88397c43d0b8ef706b1fbafc801”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-infuser-0.2.8-r40h6115d3f_1003.tar.bz2”h0Œ@0b398ef50336bf54741a9fae562b3ad194b8385583a6b94fe1c406420d88c862”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×­"ÃC–hEM±‰hFˆubh)”}”(hŒr-dmwr”h#Œ0.4.1”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ%r-dmwr-0.4.1-r40h6115d3f_1003.tar.bz2”h+Œ 71ebbb77f6ac021257be565cfff46941”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dmwr-0.4.1-r40h6115d3f_1003.tar.bz2”h0Œ@8feb79ee63f7be929eb588c5e147b0e686980f771488c3db679808da85c21504”h2NhNh3(Œr-abind >=1.1_0”Œr-base >=4.0,<4.1.0a0”Œr-class >=7.3_1”Œr-lattice >=0.18_3”Œr-quantmod >=0.3_8”Œr-rocr >=1.0”Œr-rpart >=3.1_46”Œr-xts >=0.6_7”Œr-zoo >=1.6_4”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬á ƒhEJ53 hFˆubh)”}”(hŒ!xcb-util-image-devel-cos7-aarch64”h#Œ0.4.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ<xcb-util-image-devel-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h+Œ e1e040a7542e2e36d43fdc11f22faa9b”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-devel-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h0Œ@18ecd5f330399dd7819348ab601ba9516628b4a080bfc9052c6f2af552948b4c”h2NhNh3Œ)xcb-util-image-cos7-aarch64 ==0.4.0 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Óí>$ÝhEM
7hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyh5bfe37b_5”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyh5bfe37b_5.tar.bz2”h+Œ 6c9181f5a31ed0158870fcc69d097aae”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyh5bfe37b_5.tar.bz2”h0Œ@f9fabd9f46f9bffb9913debbe5c9672dc2a2802f199123983093348e495ae554”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØØ È	ë…hEM±hFˆubh)”}”(hŒnumactl-devel-cos7-aarch64”h#Œ2.0.12”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6numactl-devel-cos7-aarch64-2.0.12-h9d98e8f_104.tar.bz2”h+Œ b4fdef5ec735a548bf27a042c40c615d”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/numactl-devel-cos7-aarch64-2.0.12-h9d98e8f_104.tar.bz2”h0Œ@9ad5b0bcd06e723ff25e6470b61a749caf87cc3c8fa32cef378b5c96b2eaf701”h2NhNh3Œ(numactl-libs-cos7-aarch64 ==2.0.12 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2 and GPLv2”hBŒGPL2”hDGA×âRµVhEMÛ„hFˆubh)”}”(hŒlibx11-devel-cos7-x86_64”h#Œ1.6.7”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libx11-devel-cos7-x86_64-1.6.7-h9b0a68f_1105.tar.bz2”h+Œ 81558f98a8d200c8fde3badec5be1dfe”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-x86_64-1.6.7-h9b0a68f_1105.tar.bz2”h0Œ@b65c994e39a7659641f628d894c31d38b7c2e077ca111a43b288a4e1f8c5c9e4”h2NhNh3Œ!libx11-cos7-x86_64 ==1.6.7 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@o*q©ühEJŒx hFˆubh)”}”(hŒxontrib-output-search”h#Œ0.5.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ0xontrib-output-search-0.5.3-pyh9f0ad1d_0.tar.bz2”h+Œ b01a4706099852912f4e481177a4ca5d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/xontrib-output-search-0.5.3-pyh9f0ad1d_0.tar.bz2”h0Œ@f8274b93f53c8109e9cbe5b94271f2092917c0479cfba294d0f250abd4b6bff2”h2NhNh3Œpython”Œtokenize-output”Œxonsh”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×Øl#îÈ´hEM9"hFˆubh)”}”(hŒr-radix”h#Œ0.6”h%Œr36h6115d3f_2”h'Khhh(h)hŒ!r-radix-0.6-r36h6115d3f_2.tar.bz2”h+Œ 3449d1ec992e1801f685a33be45f430a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-radix-0.6-r36h6115d3f_2.tar.bz2”h0Œ@9b0c2e6378838a56a519057270250a2e34057380e5ebb2d66f2b6941442af771”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downloader”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œr-png”Œ
r-progress”Œr-rmarkdown >=1.10”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×­NÈSøhEJs hFˆubh)”}”(hŒr-snpls”h#Œ1.0.27”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-snpls-1.0.27-r41hc72bb7e_0.tar.bz2”h+Œ 47c8577884933e5fb2e63e575ae27eba”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-snpls-1.0.27-r41hc72bb7e_0.tar.bz2”h0Œ@8d1a07f4bbf69744484de167eb8a33fe075a47738a51b9bb193d1aa5894eab4e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clickr”Œr-future”Œr-future.apply”Œ	r-ggplot2”Œ	r-ggrepel”Œr-ks”Œr-mass”Œr-matrix”Œ	r-pbapply”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ,$¦å/hEJä© hFˆubh)”}”(hŒlibxdamage-cos7-ppc64le”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ3libxdamage-cos7-ppc64le-1.1.4-h1795305_1101.tar.bz2”h+Œ 99b5a0a7c3480cdd62f5d5af88b43489”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-ppc64le-1.1.4-h1795305_1101.tar.bz2”h0Œ@8b253564732fb65d6c4da8007ba964caa65c0f55047f91af2a857e0fc84a19fa”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&&ÛdZhEM!BhFˆubh)”}”(hŒ python-javapackages-cos7-ppc64le”h#Œ3.4.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ<python-javapackages-cos7-ppc64le-3.4.1-h9d98e8f_1104.tar.bz2”h+Œ 98f466da1abacd66e3253c114dbdabf1”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-ppc64le-3.4.1-h9d98e8f_1104.tar.bz2”h0Œ@72181dd1eb859224088f49cc83cc23c3e369cd14fd40ad979021daadf3db3501”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×É{Iù‡hEM˜2hFˆubh)”}”(hŒr-jsonld”h#Œ2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-jsonld-2.2-r42hc72bb7e_1.tar.bz2”h+Œ b39eb73fa81509dc14371c6e22c64a64”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jsonld-2.2-r42hc72bb7e_1.tar.bz2”h0Œ@db01ed9429af7a33c24506bafeb310b304fdb02dbcf844040588450c4c77a71e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl >=2.7”Œ
r-jsonlite”Œr-v8”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÔ$Ú“…hEJgD hFˆubh)”}”(hŒ	r-tfisher”h#Œ0.2.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-tfisher-0.2.0-r41hc72bb7e_2.tar.bz2”h+Œ 5fd3b93e85993063310e45252460170a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tfisher-0.2.0-r41hc72bb7e_2.tar.bz2”h0Œ@23af0271144742bf208b4aab41d4b409ab785aea69766e058a6afb42c1a6a749”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-matrix”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓX®£÷ÏhEJ_x hFˆubh)”}”(hŒr-rpmg”h#Œ2.2_3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-rpmg-2.2_3-r41hc72bb7e_2.tar.bz2”h+Œ e13db79c37c068d0117708bccbe2ed9d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpmg-2.2_3-r41hc72bb7e_2.tar.bz2”•6      h0Œ@f5037a0a72ccb9233e7ce614181ff113f77a94666160134958e5e7a14a6ecdf8”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐ±Ïð1'hEJ<R hFˆubh)”}”(hŒlarray_eurostat”h#Œ0.32.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+larray_eurostat-0.32.2-pyh9f0ad1d_0.tar.bz2”h+Œ 78b2f1db5e6d4eb6289a7e4f5a67f56c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/larray_eurostat-0.32.2-pyh9f0ad1d_0.tar.bz2”h0Œ@0c44ecf9d624183588a0490b083ce6158dc54d378c939f3467fa02daf183b2dd”h2NhNh3Œlarray”Œpython”†”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×¨bF.hEM4QhFˆubh)”}”(hŒr-reactr”h#Œ0.4.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-reactr-0.4.4-r36hc72bb7e_0.tar.bz2”h+Œ 3e0384fe917172afa7bb59649d3ddcde”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reactr-0.4.4-r36hc72bb7e_0.tar.bz2”h0Œ@2d9d9e05526c40e3a83e5e562c286e331c2aef30c596142f19576baf317ccac5”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-htmltools”†”h9hºh@ŒMIT”hBŒMIT”hDGAØõ½¾hEJ@[ hFˆubh)”}”(hŒ	gnuconfig”h#Œ
2020.11.07”h%Œ
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VhFˆubh)”}”(hŒr-lle”h#Œ1.1”h%Œr36_1002”h'Mêhhh(h)hŒr-lle-1.1-r36_1002.tar.bz2”h+Œ 1626ab8b19949e91bfaf7b61653e907c”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/r-lle-1.1-r36_1002.tar.bz2”h0Œ@830728248f5d4cb1207f8e9395eec50955dae4fce8d40f917dba8c535b4a26a0”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-scatterplot3d”Œ
r-snowfall”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÝ]˜r°hEJ¤2 hFˆubh)”}”(hŒ
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keras-unet”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%keras-unet-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 9df064fc059d2c18f1cdf184985fc7cb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/keras-unet-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@b88eb94f7e71703f8e4924d5cda2d583bb8a29e0b6bf5563a7241d2f338e7e48”h2NhNh3(Œkeras”Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œ
tensorflow”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ü×.hshEMSChFˆubh)”}”(hŒmpl_sample_data”h#Œ3.4.3”h%Œpyheb06c22_0”h'K hhh(h)hŒ*mpl_sample_data-3.4.3-pyheb06c22_0.tar.bz2”h+Œ 8f611892bbfe2b2d74e83da85cfaddf2”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mpl_sample_data-3.4.3-pyheb06c22_0.tar.bz2”h0Œ@100a4f6b82c277d523c911a6da51b80ff032dcf926f1fbd707c8042579d17c06”h2NhNh3Œ matplotlib-base >=3.4.3,<3.5.0a0”Œpython”†”h9h?h@ŒLicenseRef-PSF-based”hBŒPSF”hDGAØE±-ÃÆ¨hEJº\ hFˆubh)”}”(hŒpytest-cram”h#Œ0.2.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&pytest-cram-0.2.2-pyh9f0ad1d_0.tar.bz2”h+Œ 71bf6f6d56afc55b06c4be527e4b7000”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pytest-cram-0.2.2-pyh9f0ad1d_0.tar.bz2”h0Œ@ccfbf5f0cff31bc37b3fbb12d7954a4cd3a58cca1c371d0abf9cbba7953e128a”h2NhNh3Œ
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h1341992_0”h'K hhh(h)hŒ2libibcm-devel-cos6-x86_64-1.0.5-h1341992_0.tar.bz2”h+Œ fc1de1e0853efa55d24bae1cccb782a5”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibcm-devel-cos6-x86_64-1.0.5-h1341992_0.tar.bz2”h0Œ@d4ac21aab08a85728263d1a81a3ec3c8d913348f6d905a9cc0af9083526f419c”h2NhNh3Œlibibcm-cos6-x86_64 1.0.5”Œ"libibverbs-devel-cos6-x86_64 >=1.1”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×z³¨±XhEMÀChFˆubh)”}”(hŒlibxau-cos7-aarch64”h#Œ1.0.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.libxau-cos7-aarch64-1.0.8-hdf0574f_102.tar.bz2”h+Œ 61c1079302c8b82c1d4f9f4c5052802e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-aarch64-1.0.8-hdf0574f_102.tar.bz2”h0Œ@e5cd2fc8a7b3167fc6621f3d995d219aa8fa3832e7300617a6b851ef0cd3d12e”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ÒÍhEMÒ_hFˆubh)”}”(hŒr-dosnow”h#Œ1.0.20”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-dosnow-1.0.20-r42hc72bb7e_1.tar.bz2”h+Œ 92febf6d8505171148db8de34666afd7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dosnow-1.0.20-r42hc72bb7e_1.tar.bz2”h0Œ@ae8d066091c47d38c1febb31ce1d9b9c5ece226a9ecc050c7c743eca9d1d132a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”Œr-snow >=0.3.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐâR0  hEMÄŸhFˆubh)”}”(hŒ
r-purbayes”h#Œ1.3”h%Œr36_1001”h'Méhhh(h)hŒr-purbayes-1.3-r36_1001.tar.bz2”h+Œ 33665e803662c43916abb06a30fa04b9”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-purbayes-1.3-r36_1001.tar.bz2”h0Œ@bc6ecd8822b4686a7feb6af3cbe8c5582a8363baa0d7feba434537dba19852ec”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjags”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×NÙô$Ý/hEM«hFˆubh)”}”(hŒiota”h#Œ1.4.20”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ iota-1.4.20-pyh9f0ad1d_0.tar.bz2”h+Œ dd8bb900780612afa98d787be6ec5029”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/iota-1.4.20-pyh9f0ad1d_0.tar.bz2”h0Œ@04cf7fc05c04247c1eb1f02041bf75d1ab6b748ea572e389da59558728ec636f”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython”Œsix”Œwxpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Ó­ñç²hEJ5 hFˆubh)”}”(hŒ	scripting”h#Œ0.2.4”h%Œpy_0”h'K hhh(h)hŒscripting-0.2.4-py_0.tar.bz2”h+Œ 7b32bfd5f5d053c14992651c45377f65”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/scripting-0.2.4-py_0.tar.bz2”h0Œ@cb13039e41d9b8dbc9097db8993e6f29c5742657f1d511079f88fc4376b06245”h2NhNh3Œpytest”Œpython”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×0zž   hEM2hFˆubh)”}”(hŒr-dmt”h#Œ0.8.20”h%Œr36_1002”h'Mêhhh(h)hŒr-dmt-0.8.20-r36_1002.tar.bz2”h+Œ 702c53f653b2693951e93df984f53e5a”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-dmt-0.8.20-r36_1002.tar.bz2”h0Œ@939a06cbf21246dfcab27677c7d33c58fbab8d0fb854846f238bc50033b8550c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-matrix”Œ	r-mvtnorm”t”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×Mñ&vÉhEJÑ hFˆubh)”}”(hŒlibx11-devel-cos6-x86_64”h#Œ1.6.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libx11-devel-cos6-x86_64-1.6.4-h9d98e8f_104.tar.bz2”h+Œ c88861c61c70d115bac77d87cf11fe47”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos6-x86_64-1.6.4-h9d98e8f_104.tar.bz2”h0Œ@b48af26a7e7978753f45ad838f4e0fdf170af031aa1bf3e69066657bacae513d”h2NhNh3Œ libx11-cos6-x86_64 ==1.6.4 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{õ^ùÛhEJJR hFˆubh)”}”(hŒlibice-cos7-aarch64”h#Œ1.0.9”h%Œha826a6f_103”h'Kghhh(h)hŒ.libice-cos7-aarch64-1.0.9-ha826a6f_103.tar.bz2”h+Œ 36776519d59d33604ebd23e974829f6f”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libice-cos7-aarch64-1.0.9-ha826a6f_103.tar.bz2”h0Œ@a74e400893498c9816b5e3182b02fb126cd1d87824c6c721ee496884afb55609”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æzú]OßhEMEÿhFˆubh)”}”(hŒ	r-dtangle”h#Œ2.0.9”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-dtangle-2.0.9-r35h6115d3f_0.tar.bz2”h+Œ e47225e6e4ecabc5c6eaded99c9ba4fb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dtangle-2.0.9-r35h6115d3f_0.tar.bz2”h0Œ@5b08c2b8250396e578ec0889906e6f5824813e5f0859f2e2d716a7ebe808b584”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-deoptimr”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×y	¥HbhEJ—q hFˆubh)”}”(hŒpciutils-libs-cos7-x86_64”h#Œ3.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5pciutils-libs-cos7-x86_64-3.5.1-h9d98e8f_1104.tar.bz2”h+Œ d7a4433d27cdedf3169062b8284963d7”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-x86_64-3.5.1-h9d98e8f_1104.tar.bz2”h0Œ@995714763ea2237500fedc512b420711859f4b47a6f1fc05fcf663b5066b2a43”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Éy»§l‹hEMžhFˆubh)”}”(hŒ	r-rapidoc”h#Œ8.4.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-rapidoc-8.4.3-r41hc72bb7e_0.tar.bz2”h+Œ 86de5bc05e680b74c7022cf8545392d0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rapidoc-8.4.3-r41hc72bb7e_0.tar.bz2”h0Œ@1de5c7e2c5aa62dff97310c7783d8156b2f309b5f27a9032d3cfee6279a88dcc”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ}ë°lýôhEJf[ hFˆubh)”}”(hŒ	r-modeest”h#Œ2.4.0”h%Œr40hd8ed1ab_1”h'Khhh(h)hŒ%r-modeest-2.4.0-r40hd8ed1ab_1.tar.bz2”h+Œ debeb7eacbf49997066d5bf514b88df2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeest-2.4.0-r40hd8ed1ab_1.tar.bz2”h0Œ@0b0a6ed2f646adb6d9f05d3b1356af1bc7aa2320e6a995ef109795bb20494a73”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-fbasics”Œr-stable”Œr-stabledist”Œr-statip >=0.2.3”t”h9hºh@ŒGPL-3”hBŒGPL-3”hDGAØ+ië~úhEJV{ hFˆubh)”}”(hŒ	mongomock”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$mongomock-4.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3b42a497889def3dff80304135a95825”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/mongomock-4.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@90dd04ba0ff395f103d8a263427f0e9508259874b268c96669b0da6af871ab7d”h2NhNh3(Œ	packaging”Œpython >=3.6”Œ	sentinels”Œ
setuptools”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØö·j°!hEM>ÂhFˆubh)”}”(hŒlibxinerama-cos7-aarch64”h#Œ1.1.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ3libxinerama-cos7-aarch64-1.1.3-hdf0574f_102.tar.bz2”h+Œ 45697dfc7fa32b1a812f881f97b90689”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-aarch64-1.1.3-hdf0574f_102.tar.bz2”h0Œ@673b78ca4d20d9d004e4d6ecf5bb6b07374339f13a8b6356de59a34ad6a4a84e”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ª5ÂhEM·(hFˆubh)”}”(hŒr-tidync”h#Œ0.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tidync-0.3.0-r41hc72bb7e_0.tar.bz2”h+Œ 29860981fd9653a26eda0a8d831d3292”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidync-0.3.0-r41hc72bb7e_0.tar.bz2”h0Œ@4b286e1ecd7a3c4f253829274b2fc6df0f72e180cde9870017d91325533d8dc4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.0”Œ	r-forcats”Œ
r-magrittr”Œr-ncdf4”Œr-ncmeta >=0.2.0”Œr-purrr”Œr-rlang”Œr-rnetcdf >=1.9_1”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÖ•RjŸ¾hEJÖû hFˆubh)”}”(hŒlibnl-devel-cos7-aarch64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libnl-devel-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 200881b7cfaf64ced4379831b85081db”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@0859ee6ae8f7a97460b5300a4391cdd966a3b0bb8ac5b56ac52ec3eb1406a268”h2NhNh3Œ!libnl-cos7-aarch64 ==1.1.4 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É}k×
hEJ-þ	 hFˆubh)”}”(hŒr-showimage”h#Œ1.0.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ*r-showimage-1.0.0-r36h6115d3f_1002.tar.bz2”h+Œ 8ec8c6fdeb34a01fc597790fde80edb7”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-showimage-1.0.0-r36h6115d3f_1002.tar.bz2”h0Œ@900d0708058ce2632012e7250e61ae3b19f95a1fe9037cec2296413b33560433”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-png”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×«ð°Y™šhEMÖnhFˆubh)”}”(hŒdcc”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdcc-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 073372bfeac72905a3deea63505d9d2d”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/dcc-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@61872f89c97b0cae3c4a226c931ed0806044837bf880bdeed700105be48d944d”h2NhNh3(Œbeautifulsoup4 >=4.0.0”Œciecplib >=0.4.4”Œclick >=7.0.0”Œhtml2text >=2018.1.9”Œpython >=3.8”Œpytz >=2018.3”Œtomli >=2.0.0”Œtomli-w >=1.0.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ|ó‡\)hEMÕ¬hFˆubh)”}”(hŒsketchnu”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#sketchnu-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 770aafb2e405ffb487767acf4c03fa39”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sketchnu-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@12b90f50a8e904b26e0d3fc5043edb4dc622215b0b62fd3c65a9088e09f90946”h2NhNh3Œnumba >=0.54.1”Œpsutil”Œpython >=3.8”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØþ¡ªnùÛhEJû_ hFˆubh)”}”(hŒcwinpy”h#Œ0.6.0”h%Œpyh4b9e410_0”h'K hhh(h)hŒ!cwinpy-0.6.0-pyh4b9e410_0.tar.bz2”h+Œ f01566c333095bfb93cd2b6fd66eeb5b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cwinpy-0.6.0-pyh4b9e410_0.tar.bz2”h0Œ@bf98572d99d9bffa0ceeeebe3a47d9d7c9abd6dcc9ec940b369df1b9de222faf”h2NhNh3(Œastropy”Œbilby >=0.5.8”Œbilby_pipe >=0.2.0”Œconfigargparse”Œgwosc”Œgwpy”Œ
lintegrate”Œmatplotlib-base”Œnumba”Œnumpy >=1.21.0,<2.0a0”Œpsrqpy”Œpycondor”Œpython >=3.6”Œpython-lal >=7.1.2”Œpython-lalframe >=1.5.4”Œpython-lalpulsar >=3.0.1”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ4ð½?®hEJÑE hFˆubh)”}”(hŒ
r-measures”h#Œ0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-measures-0.3-r41hc72bb7e_1.tar.bz2”h+Œ 437b038de065cffa6b197afa4ab71207”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-measures-0.3-r41hc72bb7e_1.tar.bz2”h0Œ@bf229203c661acbc61223fe3a923cec3f76dec66e2df96f3f09cb780630468dc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ&WÂhEJõ# hFˆubh)”}”(hŒperl-path-tiny”h#Œ0.124”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ-perl-path-tiny-0.124-pl5321hd8ed1ab_0.tar.bz2”h+Œ 456a8757a2e5272fb1dcb6435e037f3a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/perl-path-tiny-0.124-pl5321hd8ed1ab_0.tar.bz2”h0Œ@03b980520f6bcf7612fdee607e571ff91660d8fbfeb57ae9350921c5a38459d1”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ
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r-jsonlite”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÕI™šhEM9ÓhFˆubh)”}”(hŒlibxext-cos7-x86_64”h#Œ1.3.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libxext-cos7-x86_64-1.3.3-ha826a6f_1103.tar.bz2”h+Œ 60692ae585e492b17f1ef7483b87d1b5”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-x86_64-1.3.3-ha826a6f_1103.tar.bz2”h0Œ@97432d773e99801ce1167f243f334e56d724dc00a536f4f2aab82d45a127f38c”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ21mhEMû•hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpyhd8ed1ab_13”h'Khhh(h)hŒ-fenics-dijitso-2019.1.0-pyhd8ed1ab_13.tar.bz2”h+Œ e10e351ad46b4282e574531020f8776e”h.Œ[https://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-pyhd8ed1ab_13.tar.bz2”h0Œ@7e164ee9c0aa6a61d03798513a1ba7b17a075c3d6f379a5922036a359b1baa7c”h2NhNh3Œnumpy”Œpython >=3.5”Œ
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r-heatmap3”h#Œ1.1.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-heatmap3-1.1.9-r42hc72bb7e_1.tar.bz2”h+Œ fd291d7c2c490b700c5b5838bd1bc1b6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-heatmap3-1.1.9-r42hc72bb7e_1.tar.bz2”h0Œ@49bd11badd6b136caa4974eddc2b62d5b2f74aafbab51814b94787e0caf5d69d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-fastcluster”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒi¯G
=hEJWú hFˆubh)”}”(hŒyamllint”h#Œ1.26.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$yamllint-1.26.3-pyhd8ed1ab_0.tar.bz2”h+Œ b9e77e222fdb7f4fea8fb25e33a218f4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/yamllint-1.26.3-pyhd8ed1ab_0.tar.bz2”h0Œ@fe40a3001c2b8c6eda73a1b7fd5e42e1ae444b680a07235ad3bce266d493d57a”h2NhNh3(Œpathspec >=0.5.3”Œpython >=3.5”Œpyyaml”Œ
setuptools”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØH·ÚÁ©ühEJm hFˆubh)”}”(hŒ
sheet2dict”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%sheet2dict-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 336a1e875365be86b6e75d2bc9993154”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sheet2dict-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@f5980088f6f8217dabbef32995ab0a5a1c11019f837ec0d84c435f19414ae0e9”h2NhNh3Œopenpyxl”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØØLåtí‘hEMm,hFˆubh)”}”(hŒla_forge”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#la_forge-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ eca3bb17679373263c0205237f51d181”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/la_forge-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@514a24d0decc4fca781b8b796bedbf5a420d930b252f5956ee4bbc5306ed8ff5”h2NhNh3(Œastropy >=3.0”Œcorner”Œh5py >=3.4.0”Œmatplotlib-base >=2.0.0”Œnumpy >=1.16”Œpython >=3.6”Œscipy >=1.0.0”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØµËPhEM&‰hFˆubh)”}”(hŒp11-kit-trust-cos7-x86_64”h#Œ0.23.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ6p11-kit-trust-cos7-x86_64-0.23.5-ha826a6f_1103.tar.bz2”h+Œ 7392fb21817855fb426645fa88f9a5c7”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-x86_64-0.23.5-ha826a6f_1103.tar.bz2”h0Œ@3db6da1e0f2d2ec0b19ecc3e97df34cb9bbb3c88ec6dbcf3fdcff5dca5c13be8”h2NhNh3Œ#p11-kit-cos7-x86_64 ==0.23.5 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ1=QxÕhEJM` hFˆubh)”}”(hŒcups-libs-cos7-aarch64”h#Œ1.6.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2cups-libs-cos7-aarch64-1.6.3-h9d98e8f_1104.tar.bz2”h+Œ 218c9f0a27fd56c5af5dc38568254467”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos7-aarch64-1.6.3-h9d98e8f_1104.tar.bz2”h0Œ@75a5524318d1dacb8183cdee6757db620824b9b5149b3f57e673fe186571cadd”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2 and zlib”hBŒLGPL”hDGA×Éxû¦ÙhEJÅ hFˆubh)”}”(hŒpysimpleguiwx”h#Œ0.17.2”h%Œpyh44b312d_0”h'K hhh(h)hŒ)pysimpleguiwx-0.17.2-pyh44b312d_0.tar.bz2”h+Œ 40134e05623159c20cbe743f20937ac9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pysimpleguiwx-0.17.2-pyh44b312d_0.tar.bz2”h0Œ@f28f6ccad600fb1af56d18a39b0528c1929b195a744ee72c88527d2676f7e747”h2NhNh3Œpython”Œwxpython”†”h9h?h@ŒLGPL-3.0”hBŒLGPL”hDGAØ«x†ÙhEMìhFˆubh)”}”(hŒr-ibd”h#Œ1.5”h%Œr41hc72bb7e_3”h'Khhh(h)hŒr-ibd-1.5-r41hc72bb7e_3.tar.bz2”h+Œ 2d57726b2879d195d7acfc3115ee2839”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ibd-1.5-r41hc72bb7e_3.tar.bz2”h0Œ@2e07001590368c331dc3f073e6dda7aac9949d215b1c683d6b28a2ce7f9cf3e7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ	r-emmeans”Œ	r-lpsolve”Œ
r-multcomp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÓY–Éë…hEJ hFˆubh)”}”(hŒdemjson3”h#Œ3.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#demjson3-3.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 0cc27f2b057f523c832f537629ab575a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/demjson3-3.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@3be19f1ab560e167167c4c2870f61440df60ab8b323bad57f2c6d2c06cac9309”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-3.0-or-later”hBŒGPL”hDGAØÚ7@1hEJ> hFˆubh)”}”(hŒlibnl3-cli-cos6-x86_64”h#Œ3.2.21”h%Œha826a6f_103”h'Kghhh(h)hŒ2libnl3-cli-cos6-x86_64-3.2.21-ha826a6f_103.tar.bz2”h+Œ 331e76c9a1337c6a5ec73490b4acefe7”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libnl3-cli-cos6-x86_64-3.2.21-ha826a6f_103.tar.bz2”h0Œ@8576448cafdfdbd8b9ffbc3f32a4f6dc8b2ef808859015c6dcfc4bde6eb8fc7c”h2NhNh3Œ!libnl3-cos6-x86_64 ==3.2.21 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×È,¸XƒhEM:÷hFˆubh)”}”(hŒr-fabricatr”h#Œ1.0.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-fabricatr-1.0.0-r41hc72bb7e_1.tar.bz2”h+Œ 033dfcc47e885dd845fa8765bfd93081”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fabricatr-1.0.0-r41hc72bb7e_1.tar.bz2”h0Œ@48e2079a08d72c4cec3a190810d69a48c4ca54496996a10546c5ed8343b3b971”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rlang >=1.0.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ³Úù%hEJTf hFˆubh)”}”(hŒ
r-sylly.en”h#Œ0.1_3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-sylly.en-0.1_3-r40h6115d3f_1.tar.bz2”h+Œ cebcecb5459a5fdc70f170b41dcdfc88”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sylly.en-0.1_3-r40h6115d3f_1.tar.bz2”h0Œ@a2cbb5c0b45cf7dcb5020255d9b03aeb33f2c0a1b9f0884029d571e97d7d1a23”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-sylly”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«ð ÒòhEJ—Š hFˆubh)”}”(hŒdiffmah”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"diffmah-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ afed4f31cd536a34734141292409f180”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/diffmah-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a9e7e6b43890a27b590e46834cc74b8c8a38750cd84d9bca0fa2695fb65402e0”h2NhNh3Œjax >=0.3.0”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÉtÌ1hEJ¾K hFˆubh)”}”(hŒr-maldiquantforeign”h#Œ0.13”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ.r-maldiquantforeign-0.13-r41hc72bb7e_1.tar.bz2”h+Œ a4b9d349b1a51d70901d67488f1d9902”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-maldiquantforeign-0.13-r41hc72bb7e_1.tar.bz2”h0Œ@a46a23509cc73ddd4c5835ac12dba5c2536f72068e3edc2963c6ca468321be3f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-digest”Œr-maldiquant >=1.16.4”Œr-readbrukerflexdata >=1.7”Œr-readmzxmldata >=2.7”Œr-xml”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÒS|˜ ÅhEJ—Ñ hFˆubh)”}”(hŒempyrical-dist”h#Œ0.2.0”h%Œpy_1”h'Khhh(h)hŒ!empyrical-dist-0.2.0-py_1.tar.bz2”h+Œ 09e2ea1ac34854eb17e2c8c0fc8c799e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/empyrical-dist-0.2.0-py_1.tar.bz2”h0Œ@8d125183f6532feb073c7611a0bc02b9b5576092cca226f38c2de6f79999afad”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œpython”Œseaborn”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‘°·›×
hEMM-hFˆubh)”}”(hŒ
r-cpgassoc”h#Œ2.60”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-cpgassoc-2.60-r36h6115d3f_1.tar.bz2”h+Œ 13679be2a4e4a9f7e11b8aa1b3353f49”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cpgassoc-2.60-r36h6115d3f_1.tar.bz2”h0Œ@6d10445805f3e2c20f92bc5226ed5c5ad63e773d887dce22ea2dc801c88c19c2”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-nlme”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯˜ŸïžhEJÍ8 hFˆubh)”}”(hŒr-harrypotter”h#Œ2.1.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-harrypotter-2.1.1-r35h6115d3f_0.tar.bz2”h+Œ f1f58d69a7fc24f9682da216f66f62bc”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-harrypotter-2.1.1-r35h6115d3f_0.tar.bz2”h0Œ@9cba6159a31b7d8da076af74ea0622906aac66a5921eab41b7fdde459eb568ca”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×˜)³¶FhEJ¹ hFˆubh)”}”(hŒr-rismed”h#Œ2.3.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-rismed-2.3.0-r42hc72bb7e_1.tar.bz2”h+Œ d1892bb9b958af5bd89586aba9edbc54”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rismed-2.3.0-r42hc72bb7e_1.tar.bz2”h0Œ@90ac2a57b1e3a7401d52a60821289667ecf2b0d41bd7a3fef6f4859b094f1470”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-httr”Œr-xml2”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑM  1'hEJ…Å hFˆubh)”}”(hŒr-ooplah”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-ooplah-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 567450b18be54b8ab30a71bb42f8be08”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ooplah-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@eb478a55f2878ff2aa1803ec748d92b271e4e460776b77b8b80b9a2a3fa95622”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r6”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ·´M¡ËhEJþŠ hFˆubh)”}”(hŒr-verification”h#Œ1.42”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ,r-verification-1.42-r36h6115d3f_1001.tar.bz2”h+Œ 4daeb6f8e0102d0596b72d8e188ba9e7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-verification-1.42-r36h6115d3f_1001.tar.bz2”h0Œ@624c0bd42aeab5b7909331a86aaead47efd35bbe742d81749c7c9bb4372be39d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-boot”Œr-circstats”Œr-dtw”Œr-fields”Œr-mass”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LœmffhEJ-­ hFˆubh)”}”(hŒr-bibitr”h#Œ0.3.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-bibitr-0.3.1-r36h6115d3f_1.tar.bz2”h+Œ 0fb38ae8a461d4700e76fcbd8498f8f6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bibitr-0.3.1-r36h6115d3f_1.tar.bz2”h0Œ@87b4e732a9659abf346a0b4767b2372dd93ab19a6eadb62a9769a59e3e2b94a2”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-biclust”Œ	r-cluster”Œr-dendextend”Œ	r-foreign”Œ	r-lattice”Œr-randomcolor”Œ	r-viridis”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­ŠÈbhEJÐI hFˆubh)”}”(hŒalbumentations”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)albumentations-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6fe22fdc8813e7ae156b4f1ea9f4cdc6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/albumentations-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d55174294492e9d459c479505234069925f683283161dae2a849fdb31e31c838”h2NhNh3(Œnumpy >=1.11.1”Œopencv >=4.1.1”Œpython >=3.6”Œpyyaml”Œqudida >=0.0.4”Œscikit-image >=0.16.1”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÊrKëdZhEJ¬h hFˆubh)”}”(hŒaxial-positional-embedding”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5axial-positional-embedding-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8ca68898f89c566d9f71e58ee28edba0”h.Œchttps://conda.anaconda.org/conda-forge/noarch/axial-positional-embedding-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@62db010717939bb2aa6e440d41f69f852db82f9d17d3fbc884139b8e08e96c84”h2NhNh3Œpython >=3.6”Œpytorch”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÇC¼‹DhEMzhFˆubh)”}”(hŒr-lmvar”h#Œ1.5.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-lmvar-1.5.2-r41hc72bb7e_1.tar.bz2”h+Œ 78e19b89b6c948b78698991d08e12408”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lmvar-1.5.2-r41hc72bb7e_1.tar.bz2”h0Œ@6fada64462aaaf201428540a73831ece5a1af7d5af6edd37b94ace2241cd3381”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-matrix >=1.2_4”Œr-matrixcalc >=1.0_3”Œr-maxlik >=1.3_4”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒYy{hEJ' hFˆubh)”}”(hŒlibxau-devel-cos6-x86_64”h#Œ1.0.6”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libxau-devel-cos6-x86_64-1.0.6-h9b0a68f_1105.tar.bz2”h+Œ 7d9700403c9bd176f54f4b7ab52b4781”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos6-x86_64-1.0.6-h9b0a68f_1105.tar.bz2”h0Œ@257d18baf898b36885942e397e7ef7ee65869e482a3fed81ec222808c0c1bbc7”h2NhNh3Œ!libxau-cos6-x86_64 ==1.0.6 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[¿®hEMA'hFˆubh)”}”(hŒshed-streaming”h#Œ0.8.0”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ)shed-streaming-0.8.0-pyhd8ed1ab_3.tar.bz2”h+Œ d803899b00c0bc573842eb6fd0f2a685”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/shed-streaming-0.8.0-pyhd8ed1ab_3.tar.bz2”h0Œ@a0af1c1edbdcb8661ced875cfa613735893fd8b063bdfbaa0d23b4cbf8640bd0”h2NhNh3(Œbluesky 1.6.4”Œdask”Œdask-jobqueue”Œ
databroker”Œevent-model”Œmatplotlib-base”Œnetworkx >=2.0”Œnumpy”Œpython >=3.6,<3.10”Œrapidz”Œscipy”Œstreamz_ext”Œxonsh”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‡U¡ËhEM:uhFˆubh)”}”(hŒtransformers”h#Œ4.20.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(transformers-4.20.0-pyhd8ed1ab_0.tar.bz2”h+Œ c35aaf77b4d6303f70d8384e36349217”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/transformers-4.20.0-pyhd8ed1ab_0.tar.bz2”h0Œ@67a680ec1f15c3ab71a47d78ac04aa9ca6c615c5d2f70db315f0fd6cffa26eff”h2NhNh3(Œdataclasses”Œdatasets”Œfilelock”Œhuggingface_hub”Œimportlib_metadata”Œnumpy”Œ	packaging”Œpython >=3.6”Œpytorch”Œpyyaml”Œregex !=2019.12.17”Œrequests”Œ
sacremoses”Œ"tokenizers >=0.11.1,!=0.11.3,<0.13”Œtqdm >=4.27”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ«`$P  hEJÊÌ" hFˆubh)”}”(hŒ	r-attempt”h#Œ0.3.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-attempt-0.3.1-r36h6115d3f_0.tar.bz2”h+Œ 3fef7cb4f2d03eba78e6d6ea8e542f8b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-attempt-0.3.1-r36h6115d3f_0.tar.bz2”h0Œ@4ecb52f85701bd354b1dd8a0294e63fcf2b71366f2c0fe83df3183d66c6ad634”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rlang”†”h9hºh@ŒMIT”hBŒMIT”hDGA×«Í>:¬hEJWÆ hFˆubh)”}”(hŒ
repoze.who”h#Œ2.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#repoze.who-2.4-pyh9f0ad1d_0.tar.bz2”h+Œ 83bd322e42d5a825e93f3cf0b89ed4fb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/repoze.who-2.4-pyh9f0ad1d_0.tar.bz2”h0Œ@5ae9019c18ac269d72bf49a28abd0531cb2d168e788aee3e1986b2eae1388d90”h2NhNh3(Œpython”Œ
setuptools”Œwebob”Œzope.interface”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Üß{ŽhEMÍÐhFˆubh)”}”(hŒr-noncompart”h#Œ0.6.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ(r-noncompart-0.6.0-r42hc72bb7e_0.tar.bz2”h+Œ ac022f1ebbdfba8b325f43722a55c4d1”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-noncompart-0.6.0-r42hc72bb7e_0.tar.bz2”h0Œ@c1c1c99b173891049404fc0833b1570cd76115f6f36748cce6bbaefe867e1c46”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ3eìjhEJL÷ hFˆubh)”}”(hŒdaphne”h#Œ2.5.0”h%Œpy_0”h'K hhh(h)hŒdaphne-2.5.0-py_0.tar.bz2”h+Œ 432580b515bd191b3680b6cc7cfa9b22”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/daphne-2.5.0-py_0.tar.bz2”h0Œ@f0fa0afa58472c131e03cb6195d016e213f20af17855841a4ee6523c86ecfa0b”h2NhNh3(Œasgiref >=3.2,<4”Œautobahn >=0.18”Œ
python >=3”Œtwisted >=18.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×§3
7;dhEM0^hFˆubh)”}”(hŒ
tidypolars”h#Œ0.2.19”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&tidypolars-0.2.19-pyhd8ed1ab_0.tar.bz2”h+Œ a053851393084e5b302d2ea576fabe1d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/tidypolars-0.2.19-pyhd8ed1ab_0.tar.bz2”h0Œ@84ca3ecbe1dd234a1775eb58db8512824f2a98a895a168af6e067b3363a92268”h2NhNh3Œpolars >=0.14.18”Œpython >=3.6,<3.11”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÑF°"-hEM¾ThFˆubh)”}”(hŒexpat-devel-cos7-aarch64”h#Œ2.1.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3expat-devel-cos7-aarch64-2.1.0-h9d98e8f_104.tar.bz2”h+Œ b09640492f65191f6ce6498d59fa28f4”h.Œahttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-aarch64-2.1.0-h9d98e8f_104.tar.bz2”h0Œ@97f8fbab63bb8f44265d0d54824346da9b1e12e684628ffe26285b598c287468”h2NhNh3Œ expat-cos7-aarch64 ==2.1.0 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzV	XhEMRÁhFˆubh)”}”(hŒpint”h#Œ0.18”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpint-0.18-pyhd8ed1ab_0.tar.bz2”h+Œ c6f17ed0b49bef3ae096a15dee5f47d5”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pint-0.18-pyhd8ed1ab_0.tar.bz2”h0Œ@004e6219b1c2976da4c2d41e14958c721b934aa18f139654d2b32270b7519958”h2NhNh3Œimportlib_metadata”Œ	packaging”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ^‘(´9hEJ½­ hFˆubh)”}”(hŒlibice-cos7-ppc64le”h#Œ1.0.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libice-cos7-ppc64le-1.0.9-h9b0a68f_105.tar.bz2”h+Œ 989aad2b1a61cd9b573e547e56e99300”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libice-cos7-ppc64le-1.0.9-h9b0a68f_105.tar.bz2”h0Œ@e1365c170f7309c2166233b074470ef51c8194ead4671bdb98b37664f8fee05d”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡b`A‰hEJÎ	 hFˆubh)”}”(hŒnumba_quaternion”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+numba_quaternion-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 78570a64c3e54a7f3322f9180acd5d37”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/numba_quaternion-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e1001f3cce0ee07329c94bb93b522bfd68b13d4ece1ddf9d6f1a26716b0fd47c”h2NhNh3Œnumba >=0.52”Œnumpy >=1,<2”Œpython >=3.8”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡7CçmhEM®.hFˆubh)”}”(hŒigor”h#Œ0.3”h%Œpy_3”h'Khhh(h)hŒigor-0.3-py_3.tar.bz2”h+Œ 829431bf9ea64ac399679f64a4c3e5d6”h.ŒChttps://conda.anaconda.org/conda-forge/noarch/igor-0.3-py_3.tar.bz2”h0Œ@cd81565506d592e00640a44c7a4c8671c07e10ecfc2a53775bb0f3908f84e937”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython”‡”h9h?h@ŒLGPL-3.0”hBŒLGPL”hDGA×•sU?}hEMv§hFˆubh)”}”(hŒinflect”h#Œ5.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"inflect-5.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ 7e5f7c7da6604706a97fcfa5407382a1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/inflect-5.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@215102137164d174956307d1100d530ac41a2496d32debd073597724a4bc1ad0”h2NhNh3Œimportlib-metadata”Œ
python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ´m
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webhelpers”h#Œ1.3”h%Œpy_0”h'K hhh(h)hŒwebhelpers-1.3-py_0.tar.bz2”h+Œ 9c636b87bf1ce2a680b6ee12f755087e”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/webhelpers-1.3-py_0.tar.bz2”h0Œ@d8a430ceb665306d535175ded3a00acc116ee68faa16f8a69e5e68e0b3f8ad4f”h2NhNh3Œmarkupsafe >=0.9.2”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×eˆ;zÀƒhEJJã hFˆubh)”}”(hŒr-climate4r.climdex”h#Œ0.2.2”h%Œr40ha770c72_0”h'K hhh(h)hŒ/r-climate4r.climdex-0.2.2-r40ha770c72_0.tar.bz2”h+Œ b9eda90946843ccec1bfdd833a9e118d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-climate4r.climdex-0.2.2-r40ha770c72_0.tar.bz2”h0Œ@86b02cfa139dc57a67ba306a172fa18da75eed95649b24d841c28e10dbed34de”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-climdex.pcic >=1.1_6”Œ
r-magrittr”Œr-pcict”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢%òÉ™šhEJ”R£ hFˆubh)”}”(hŒlibsoup-devel-cos7-ppc64le”h#Œ2.62.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7libsoup-devel-cos7-ppc64le-2.62.2-h9b0a68f_1105.tar.bz2”h+Œ e5791d4d280670383a3888a12060fc2a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos7-ppc64le-2.62.2-h9b0a68f_1105.tar.bz2”h0Œ@6a4e063e49901e11cb934704d39800759b7e17f9dc9bb928156ef44f8023c057”h2NhNh3Œ$libsoup-cos7-ppc64le ==2.62.2 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@‘¢
=hEJµF hFˆubh)”}”(hŒsid-dev”h#Œ0.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#sid-dev-0.0.10-pyhd8ed1ab_0.tar.bz2”h+Œ a625f62eee999ea9cadab976e4474b52”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sid-dev-0.0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@1615b7cf5ee19a97dbde5edbface3d09fbb2d1df943fa9a280d5fe0d9bde2592”h2NhNh3(Œbokeh”Œdask”Œfastparquet !=0.6.1”Œ	holoviews”Œmatplotlib-base”Œnumba >=0.48”Œnumpy”Œ
pandas >=1”Œpython >=3.6”Œpython-snappy”Œseaborn”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ.Õ	y‡hEM5ØhFˆubh)”}”(hŒr-gpca”h#Œ1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ r-gpca-1.0-r40hc72bb7e_1.tar.bz2”h+Œ fc6c8fb09a459fd439792779f04fd9f6”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-gpca-1.0-r40hc72bb7e_1.tar.bz2”h0Œ@5f532e5d15b383a033f8e801df4a73ab36a657d88d72359ec06d2c49f573e414”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+'¥;çmhEJ/—@ hFˆubh)”}”(hŒjinjasql”h#Œ0.1.8”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#jinjasql-0.1.8-pyh9f0ad1d_0.tar.bz2”h+Œ a947944a5b4b384b118c9a22ab61a1a3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jinjasql-0.1.8-pyh9f0ad1d_0.tar.bz2”h0Œ@89b0c2aa769201f06d6cd773b17f3e80b460bdc127150980642689d80da16066”h2NhNh3Œjinja2 >=2.5”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Ê«Ø§l‹hEMõ hFˆubh)”}”(hŒr-matrix.utils”h#Œ0.9.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-matrix.utils-0.9.8-r42hc72bb7e_2.tar.bz2”h+Œ b9f03fab77c188b41259a48cfcffe9fc”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-matrix.utils-0.9.8-r42hc72bb7e_2.tar.bz2”h0Œ@7a11efd421e16fc2dc39c5bc74f55835c1b41d2c00750c3cd5da8fcd28185fed”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-grr”Œr-matrix”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ¢%Œ›¦hEJÈ] hFˆubh)”}”(hŒr-spls”h#Œ2.2_3”h%Œr36h6115d3f_2”h'Khhh(h)hŒ"r-spls-2.2_3-r36h6115d3f_2.tar.bz2”h+Œ cbb23a16db71c7d77ae1b7add828d48c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spls-2.2_3-r36h6115d3f_2.tar.bz2”h0Œ@f4ab0335e43917088db6cec2050c50453e9c132b8fdd5e5853366a9d487f7b92”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-nnet”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬84«"ÑhEJ¼½& hFˆubh)”}”(hŒopensarlab-profile-label”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3opensarlab-profile-label-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6d8df1a1cbbcc4ca967b6607de68fd63”h.Œahttps://conda.anaconda.org/conda-forge/noarch/opensarlab-profile-label-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1c9554b47b3e6b37965ad3e74a32ccb50a14977b7cd61662dfe02b3c7194234b”h2NhNh3Œjupyter_server >=1.6,<2”Œjupyterlab-topbar ~=0.6.0”Œpython >=3.8”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~õ9™šhEM[œhFˆubh)”}”(hŒlibxcursor-devel-cos7-ppc64le”h#Œ1.1.15”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:libxcursor-devel-cos7-ppc64le-1.1.15-h9b0a68f_1105.tar.bz2”h+Œ 936132ed07196a93c42c034bbc24b228”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos7-ppc64le-1.1.15-h9b0a68f_1105.tar.bz2”h0Œ@40f49a7e0e9404ad13f519631c3b2aedfb4bf68d049cc204b70c1315cbe80a8f”h2NhNh3Œ'libxcursor-cos7-ppc64le ==1.1.15 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‘ŸÏ®hEMª:hFˆubh)”}”(hŒ python-javapackages-cos7-aarch64”h#Œ3.4.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ<python-javapackages-cos7-aarch64-3.4.1-ha826a6f_1103.tar.bz2”h+Œ e929e57ffdeca90e37fc7556e01029ee”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-aarch64-3.4.1-ha826a6f_1103.tar.bz2”h0Œ@b384d2018ffe73cf4a70cefc3406e29f77e5fd38ab200848700bb83adc0574a7”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/°óçmhEM2hFˆubh)”}”(hŒ
ncpol2sdpa”h#Œ1.12.2”h%Œpy_1”h'Khhh(h)hŒncpol2sdpa-1.12.2-py_1.tar.bz2”h+Œ 272dee210d3f2e1b62fb3f64a6c0be69”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/ncpol2sdpa-1.12.2-py_1.tar.bz2”h0Œ@070e2efb2294e66775e650a089d6e9f452bbaadf4d4d0b21804734b20dac8d9b”h2NhNh3Œnumpy”Œpython”Œsympy”‡”h9h?h@ŒGPL-3.0”hBŒGPL”hDGAÖÒŸÿ•`BhEM…ÖhFˆubh)”}”(hŒlibselinux-devel-cos7-aarch64”h#Œ2.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ7libselinux-devel-cos7-aarch64-2.5-ha826a6f_1103.tar.bz2”h+Œ 55a6d03541107940df7a6406b72ec05c”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-aarch64-2.5-ha826a6f_1103.tar.bz2”h0Œ@90a0270935bb8355eccde67de39176986bfc8c8eb4620d795e1e26337ffd4e2b”h2NhNh3Œ$libselinux-cos7-aarch64 ==2.5 *_1103”Œ(libsepol-devel-cos7-aarch64 >=2.5 *_1103”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Æ20BŸ¾hEJ` hFˆubh)”}”(hŒcssutils”h#Œ2.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#cssutils-2.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ d13dd96751f6bb8d91a5d444c61dead7”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cssutils-2.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9917d42386eaea5fcdd5ae12feba16186ccc5fe5e12cc266cec4c4ec88386df7”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ5E¸hEJÀ hFˆubh)”}”(hŒ	r-cowplot”h#Œ1.1.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ%r-cowplot-1.1.1-r36hc72bb7e_0.tar.bz2”h+Œ 73b8c8afc2bb45f3589f17cd7bb7cbed”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cowplot-1.1.1-r36hc72bb7e_0.tar.bz2”h0Œ@d8f5297e574ca5f6db310360f2b4aa33d912150da07505939b2fad0fc609a5cc”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >2.2.1”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×û)s#…hEJ’D hFˆubh)”}”(hŒr-xlconnectjars”h#Œ0.2_15”h%Œr36h6115d3f_3”h'Khhh(h)hŒ,r-xlconnectjars-0.2_15-r36h6115d3f_3.tar.bz2”h+Œ b2aee72215fc459fabb826ee149b96ef”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-xlconnectjars-0.2_15-r36h6115d3f_3.tar.bz2”h0Œ@0864c32a35be7d08de11e7c78bdc3157efa8ce71fd015f653ef4d7b8c5ffb5eb”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Á‚T“hEJa>Þ hFˆubh)”}”(hŒlibsoup-cos7-x86_64”h#Œ2.62.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libsoup-cos7-x86_64-2.62.2-ha826a6f_1103.tar.bz2”h+Œ 94b0731d1db7d28d24144dea7f315269”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-x86_64-2.62.2-ha826a6f_1103.tar.bz2”h0Œ@f619d2500636672d371c93bbb025aebba9a12897a0a018e69fe3354192ab851a”h2NhNh3Œ+glib-networking-cos7-x86_64 >=2.38.0 *_1103”Œ!glib2-cos7-x86_64 >=2.38.0 *_1103”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{¾YÛ#hEJl hFˆubh)”}”(hŒlibsepol-cos7-x86_64”h#Œ2.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.libsepol-cos7-x86_64-2.5-hdf0574f_1102.tar.bz2”h+Œ 06d0b7b7ba8a7c690afb72460fafdfe6”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-x86_64-2.5-hdf0574f_1102.tar.bz2”h0Œ@39c7955f8a65cda9a157c4949558de22eb1abbe954af647cfaa0e0de4c7b8cb8”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å+;Ù%hEJ[f hFˆubh)”}”(hŒwebkitgtk-cos6-x86_64”h#Œ1.4.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0webkitgtk-cos6-x86_64-1.4.3-h9b0a68f_105.tar.bz2”h+Œ f6c6e0f823868f458e2735e5f950014c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/webkitgtk-cos6-x86_64-1.4.3-h9b0a68f_105.tar.bz2”h0Œ@aaa98eb48698c4a24a7b0ecdcec3dd958d53be39a8b2204bb5afd7b32107a60d”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGAØ@VpðƒhEJQt hFˆubh)”}”(hŒ xorg-x11-util-macros-cos7-x86_64”h#Œ1.19.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ=xorg-x11-util-macros-cos7-x86_64-1.19.0-hdf0574f_1102.tar.bz2”h+Œ b0179761b57d57ba0144770d944d8635”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-x86_64-1.19.0-hdf0574f_1102.tar.bz2”h0Œ@ebc49db8bdbbb830ae65225cb2087193482ab4b7359e681b52219474fd00b7a0”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;¥ó¶hEM-¨hFˆubh)”}”(hŒ
r-lambda.r”h#Œ1.2.4”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-lambda.r-1.2.4-r41hc72bb7e_2.tar.bz2”h+Œ 1e05f757d2dee860b9f532bc984c4ef9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lambda.r-1.2.4-r41hc72bb7e_2.tar.bz2”h0Œ@e990c3bb762d06a15209dafae7a1fce0618a28ab8af68fd023ab8ef2ad662e91”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-formatr”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÐ±`ÞéyhEJsã hFˆubh)”}”(hŒp11-kit-cos7-aarch64”h#Œ0.23.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ1p11-kit-cos7-aarch64-0.23.5-hdf0574f_1102.tar.bz2”h+Œ 49a73b1ff8e95ebfcc310f093e88520b”h.Œ_https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-aarch64-0.23.5-hdf0574f_1102.tar.bz2”h0Œ@b0795a74ef51966bc8503caad996d03bf6419d0a9ece3fb999e1c0ea40a69221”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅâP	©ühEJÚ hFˆubh)”}”(hŒ	r-rematch”h#Œ1.0.1”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ(r-rematch-1.0.1-r41hc72bb7e_1004.tar.bz2”h+Œ 540d28118b04ef5f127cabacf1f405ef”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rematch-1.0.1-r41hc72bb7e_1004.tar.bz2”h0Œ@c0ffa79e0a043c0357f7c18d6b5a92e9e13805c4603dca4b95b2b81e9c36e0f6”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsZó(ÄœhEMnNhFˆubh)”}”(hŒlibxi-devel-cos6-x86_64”h#Œ1.7.8”h%Œha826a6f_103”h'Kghhh(h)hŒ2libxi-devel-cos6-x86_64-1.7.8-ha826a6f_103.tar.bz2”h+Œ 0353d3c23f2d13e108abb1362925ccb4”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos6-x86_64-1.7.8-ha826a6f_103.tar.bz2”h0Œ@4582a5f60d772749a09a4e853cd3ea49944aa58d9f8b4d9e34bf730b011a0373”h2NhNh3Œlibxi-cos6-x86_64 ==1.7.8 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2>n‡+hEJýt hFˆubh)”}”(hŒr-tsna”h#Œ0.3.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-tsna-0.3.5-r41hc72bb7e_1.tar.bz2”h+Œ a4efd7d152eddafb063c608648b7a7bf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tsna-0.3.5-r41hc72bb7e_1.tar.bz2”h0Œ@dc1aed0f4e55df9629e342a28c39fa156b8f8a3b11ae4333bc4ff7adc9167faa”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-network >=1.13”Œr-networkdynamic >=0.9”Œr-statnet.common”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ@é‰7hEJC  hFˆubh)”}”(hŒmesa-libgl-devel-cos6-x86_64”h#Œ11.0.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ9mesa-libgl-devel-cos6-x86_64-11.0.7-hdf0574f_1102.tar.bz2”h+Œ 4fa64580b9ba2f7a6ceed5dfe3638a12”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos6-x86_64-11.0.7-hdf0574f_1102.tar.bz2”h0Œ@f63e3eb28ad008d55d6523e693adfb40e813815577097eeebe28bb8120c2e5fd”h2NhNh3Œ&mesa-libgl-cos6-x86_64 ==11.0.7 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å,j?l‹hEJÎé hFˆubh)”}”(hŒr-ggvenndiagram”h#Œ1.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-ggvenndiagram-1.2.2-r42hc72bb7e_1.tar.bz2”h+Œ a6db5f9d5aff48ba791ab701e7256abd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ggvenndiagram-1.2.2-r42hc72bb7e_1.tar.bz2”h0Œ@1498dfa212f0f47ba40dfcba7b5ccf68cc64ab9e5acce04eeb4a8628b4969d2f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-plotly”Œr-purrr”Œr-rvenn”Œr-sf”Œr-tibble”Œr-yulab.utils”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒpÎŽ¸RhEJÕ@ hFˆubh)”}”(hŒ
fenics-ufl”h#Œ2019.1.0”h%Œpyhd8ed1ab_14”h'Khhh(h)hŒ)fenics-ufl-2019.1.0-pyhd8ed1ab_14.tar.bz2”h+Œ e19675a286f24abae51cea4c544255ea”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2019.1.0-pyhd8ed1ab_14.tar.bz2”h0Œ@c2da6a6e877acd0d684a3f050cc4814c3f7178f53b6eb7248f7c7813eb8ad6a1”h2NhNh3Œnumpy”Œpython >=3.5”Œ
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setuptools”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØv!ÉÐåhEJaq hFˆubh)”}”(hŒ
aiida-orca”h#Œ0.5.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%aiida-orca-0.5.1-pyhd8ed1ab_1.tar.bz2”h+Œ 71252b8b688a47dc313ca53da53ab4c5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/aiida-orca-0.5.1-pyhd8ed1ab_1.tar.bz2”h0Œ@a968dee8159ee7943897f576713b1c12152e744ed3a6967221e7c456a8e35b6c”h2NhNh3Œ"aiida-core.atomic_tools >=1.0.0,<2”Œcclib”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ³1¤¬hEMK=hFˆubh)”}”(hŒr-optextras”h#Œ	2019_12.4”h%Œr36h6115d3f_0”h'K hhh(h)hŒ+r-optextras-2019_12.4-r36h6115d3f_0.tar.bz2”h+Œ dfe313b972121a4f2a62b9844b077fe9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-optextras-2019_12.4-r36h6115d3f_0.tar.bz2”h0Œ@1d9d1046de6570753706c1c1d8e5da2c2cf26754bf1c03880bbcca2d01b11358”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×€V^$‹DhEJì hFˆubh)”}”(hŒ	r-ggupset”h#Œ0.3.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-ggupset-0.3.0-r40hc72bb7e_1.tar.bz2”h+Œ 53caf85cc3203b15de3676c08a97fb48”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggupset-0.3.0-r40hc72bb7e_1.tar.bz2”h0Œ@8188306312992ad3e528e938b453bfee1d7a352342e7434d0067c95d9f7c7b0d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-gtable”Œr-rlang”Œr-scales”Œr-tibble”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+»4O;dhEJÌ+ hFˆubh)”}”(hŒr-animation”h#Œ2.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-animation-2.7-r40hc72bb7e_0.tar.bz2”h+Œ 07f5e12867d9031c677d9e6d1891a78a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-animation-2.7-r40hc72bb7e_0.tar.bz2”h0Œ@9c8bbd619ed916d392f4dc803f60fd73cffe73c93809ec9c56177142d793762a”h2NhNh3(Œffmpeg”Œimagemagick”Œr-base >=4.0,<4.1.0a0”Œr-magick”t”h9hºh@ŒGPL”hBŒGPL”hDGAØWÆ·D¼jhEJï¤ hFˆubh)”}”(hŒr-discretization”h#Œ1.0_1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ.r-discretization-1.0_1.1-r40hc72bb7e_0.tar.bz2”h+Œ 76df84db3b325e1690f8e479ceb6d32a”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-discretization-1.0_1.1-r40hc72bb7e_0.tar.bz2”h0Œ@598946f5d0796c3d19997decc2fbcc306dabdd2be5b6c5e30c1659f93d7a79fa”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ©O3t¼hEJzÏ hFˆubh)”}”(hŒr-rvenn”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rvenn-1.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 7d59d600d8c4caf9a1ef05ac7754ec8f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rvenn-1.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@baddd009c6e6933932c130a39b88c88e565216404375e2d9ff876909d7207e69”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggforce >=0.2.1”Œr-ggplot2 >=3.0.0”Œr-magrittr >=1.5”Œr-pheatmap >=1.0.10”Œr-purrr >=0.2.5”Œr-rlang >=0.2.2”Œr-vegan >=2.5.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÇ½ ›¦hEJ‹Ü hFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ&r-registry-0.5_1-r41hc72bb7e_3.tar.bz2”h+Œ ec647b570239f2c36945f327a20fcdfb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r41hc72bb7e_3.tar.bz2”h0Œ@6266aa629dfc04c26eea91d39ef9decc8b954d2e966920eaa88b55ba58caa38a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ]ÑXhEJì7 hFˆubh)”}”(hŒr-rebus.base”h#Œ0.0_3”h%Œr351h6115d3f_0”h'K hhh(h)hŒ)r-rebus.base-0.0_3-r351h6115d3f_0.tar.bz2”h+Œ 0c20820d615300ebe85f38854cc1acdb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.base-0.0_3-r351h6115d3f_0.tar.bz2”h0Œ@3a2ece442836852a006e54c837d0d17dc8e36cdca86d59e0f2dc85ba930053b6”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ	Unlimited”hBŒMIT”hDGA×“ý å`hEJ™g hFˆubh)”}”(hŒfontconfig-devel-cos6-x86_64”h#Œ2.8.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ8fontconfig-devel-cos6-x86_64-2.8.0-ha826a6f_1103.tar.bz2”h+Œ d3762eb8772a7b0a5b5e7014981d2677”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos6-x86_64-2.8.0-ha826a6f_1103.tar.bz2”h0Œ@0441cbca1100e5f429620dc23f1a3a97b31d50b642f33c2f9679ce9c654b950e”h2NhNh3Œ%fontconfig-cos6-x86_64 ==2.8.0 *_1103”Œ)freetype-devel-cos6-x86_64 >=2.1.4 *_1103”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3ÔýôhEJB hFˆubh)”}”(hŒ	npstreams”h#Œ1.6.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$npstreams-1.6.6-pyhd8ed1ab_0.tar.bz2”h+Œ 13a84ba5a97d1f68d02c13510fafdd4b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/npstreams-1.6.6-pyhd8ed1ab_0.tar.bz2”h0Œ@44a41677d07b9d292770c8d62885831a28fb309b44d1408fd344214f74e7d52f”h2NhNh3Œnumpy >=1.17”Œpython >=3.7”†”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAØ/6fs¥ãhEM?ƒhFˆubh)”}”(hŒr-s2dverification”h#Œ2.10.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ.r-s2dverification-2.10.3-r42hc72bb7e_1.tar.bz2”h+Œ 125ec331aeae6ced533a26a7f380d00e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-s2dverification-2.10.3-r42hc72bb7e_1.tar.bz2”h0Œ@2dc4b3843bbe9c69e152250cb290ddec53ea0764ab7e1d40298b653ea73e9fc3”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-bigmemory”Œr-geomap”Œr-geomapdata”Œ	r-mapproj”Œr-maps”Œ	r-nbclust”Œr-ncdf4”Œr-plyr”Œr-specsverification >=0.5.0”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÑ©YÙÛ#hEJÕ hFˆubh)”}”(hŒr-rio”h#Œ0.5.29”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-rio-0.5.29-r40hc72bb7e_0.tar.bz2”h+Œ 823ef2796e2f96ef699e168a747611b8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rio-0.5.29-r40hc72bb7e_0.tar.bz2”h0Œ@6d68987683257ce5f309b5bf1764a8811a38f2541df363e41741940810be2dfa”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-curl >=0.6”Œr-data.table >=1.9.8”Œ	r-foreign”Œr-haven >=1.1.2”Œ
r-openxlsx”Œr-readxl >=0.1.1”Œr-tibble”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØfÜ	ï
=hEJZ) hFˆubh)”}”(hŒ	r-clvalid”h#Œ0.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-clvalid-0.7-r41hc72bb7e_0.tar.bz2”h+Œ 250bb657783a4cbd50252abb72d86894”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-clvalid-0.7-r41hc72bb7e_0.tar.bz2”h0Œ@7254a9c269919a629cc64d501b335381b0897f601408a6da4dcc94ee66e12c43”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-class”Œ	r-cluster”‡”h9hºh@ŒLGPL-3-only”hBŒLGPL”hDGAØ+,3ohEJoÌ	 hFˆubh)”}”(hŒsphinx-basic-ng”h#Œ1.0.0b1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,sphinx-basic-ng-1.0.0b1-pyhd8ed1ab_0.tar.bz2”h+Œ b3763f0aafc7aa78e3031c4a04055aeb”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sphinx-basic-ng-1.0.0b1-pyhd8ed1ab_0.tar.bz2”h0Œ@dcd8f3dff4b2ffe6c171df1aa74220aca9f928c17498744bd0473ec21861bccb”h2NhNh3Œpython >=3.7”Œsphinx >=4.0,<6.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÍô³ÇïžhEMFIhFˆubh)”}”(hŒr-arrayhelpers”h#Œ1.1_0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-arrayhelpers-1.1_0-r42hc72bb7e_2.tar.bz2”h+Œ 3c44c816a8e256cafc0a92723d7aab29”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-arrayhelpers-1.1_0-r42hc72bb7e_2.tar.bz2”h0Œ@b9dbc1f2aa35dacc835d1d0e3801e7189821c0e81cecc4d5bf32250a1e60dc54”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-svunit”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑÄÊ¡&éhEJ'ã hFˆubh)”}”(hŒr-mlmrev”h#Œ1.0_8”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-mlmrev-1.0_8-r40h6115d3f_1.tar.bz2”h+Œ a2c2186bc12bc8fc46ae220a19057f23”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mlmrev-1.0_8-r40h6115d3f_1.tar.bz2”h0Œ@792a3afeff59295653c18730eba7173ce0fca87d8b742df5406ffd817303b2a6”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lme4”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬©mPƒhEJÎÝ hFˆubh)”}”(hŒsklearn-pandas”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)sklearn-pandas-2.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3bf01094aaabae0b69ec93bfc6f09c2a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sklearn-pandas-2.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e360f1d15125d2c1fc76dabd31dc057e0f8afbe668ef9e556cefa8935913a87e”h2NhNh3(Œnumpy >=1.18.1”Œpandas >=1.1.4”Œpython >=3.7”Œscikit-learn >=0.23.0”Œscipy >=1.5.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ%§B®È´hEM'4hFˆubh)”}”(hŒ	r-edmdata”h#Œ1.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-edmdata-1.2.0-r41hc72bb7e_1.tar.bz2”h+Œ ccf2d1f6123b113bb0c5de0f57427930”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-edmdata-1.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@818df9733d21cdf27f6517ad032515e18de1e6b70f0694d6d9a930347d5c5280”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ…MšMÓhEJK^ hFˆubh)”}”(hŒgeospatial-ml”h#Œ0.1.2”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ(geospatial-ml-0.1.2-pyhd8ed1ab_2.tar.bz2”h+Œ 799dd31b248349c838500f31bed414cf”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/geospatial-ml-0.1.2-pyhd8ed1ab_2.tar.bz2”h0Œ@d636f98fc083fe84441d98bee28bb4c1f0c8c9ce9ee428e6047f20cc45c6cb71”h2NhNh3(Œ
geospatial”Œkeras”Œpython >=3.7”Œpytorch”Œpytorch-lightning”Œscikit-gstat”Œscikit-learn”Œscikit-plot”Œ
tensorflow”Œtorchgeo”Œuvicorn”Œverde”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ˜Ù—\)hEMhFˆubh)”}”(hŒdbt-redshift”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dbt-redshift-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ b2fa56f58425a0cf64a094164b87911f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dbt-redshift-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@325c29c30918a27e86787d9903050ad847eb5ae0ed8d570f15f8f2a9196e10bf”h2NhNh3(Œboto3 >=1.4.4,<2.0.0”Œdbt-core 1.0.0 pyhd8ed1ab_0”Œdbt-postgres >=1.0,<1.1.0a0”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØlŸPI™šhEM|ThFˆubh)”}”(hŒflask-dramatiq”h#Œ0.6.0”h%Œpy_0”h'K hhh(h)hŒ!flask-dramatiq-0.6.0-py_0.tar.bz2”h+Œ 52560c2e9bbbcc9d1228e2c8eceb5719”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/flask-dramatiq-0.6.0-py_0.tar.bz2”h0Œ@50e75208ef6aa7350ae33c41c806647031e842dcaa055893ff9767e6ae6323f2”h2NhNh3(Œclick”Œdramatiq”Œflask”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×xW¸hEM#hFˆubh)”}”(hŒr-praise”h#Œ1.0.0”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ'r-praise-1.0.0-r40hc72bb7e_1004.tar.bz2”h+Œ 6f6fcbccf99aafdb7cda1ca30c2f7ec1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-praise-1.0.0-r40hc72bb7e_1004.tar.bz2”h0Œ@9b01033cd0d9fe7a72a30d6aa0db1eb04083fb6842c8a22d577e96355f5c1715”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ*Óä1ÊÁhEMª]hFˆubh)”}”(hŒr-kutils”h#Œ1.70”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-kutils-1.70-r41hc72bb7e_1.tar.bz2”h+Œ e3fdd344ccaea2f44856ccf5ffb58258”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-kutils-1.70-r41hc72bb7e_1.tar.bz2”h0Œ@ca8363b4ef6e2ab98e09f905c4d8bc100405f5495703839a52fe51656f5015e1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-foreign”Œ
r-openxlsx”Œr-plyr”Œr-runit”Œr-xtable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐýÖT¬hEJ6r hFˆubh)”}”(hŒr-ggpval”h#Œ0.2.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-ggpval-0.2.5-r41hc72bb7e_1.tar.bz2”h+Œ 5e448bb3f8b00bd90c5636795394a3d5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggpval-0.2.5-r41hc72bb7e_1.tar.bz2”h0Œ@a4f7279d292f148ac82f9be195fad2937c13183be83bdea579414dc688e37d5e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒqGKÇhEJó hFˆubh)”}”(hŒr-qdapdictionaries”h#Œ1.0.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ.r-qdapdictionaries-1.0.7-r41hc72bb7e_0.tar.bz2”h+Œ 17111ff86c5af89853eec13cbebd12e0”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-qdapdictionaries-1.0.7-r41hc72bb7e_0.tar.bz2”h0Œ@fae2cf650ae2c505301f21883910003fd415d68ab372cb34dc7fe839505919e9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ÿ$êÀƒhEJ7K! hFˆubh)”}”(hŒpypeln”h#Œ0.4.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pypeln-0.4.9-pyhd8ed1ab_0.tar.bz2”h+Œ c72c69aab1dd271a3d518ec0324d4ab0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pypeln-0.4.9-pyhd8ed1ab_0.tar.bz2”h0Œ@12d1a0e45bfe6ba4ff237b2479b6f16082de33961a6cb43fcbc2d9919fc64783”h2NhNh3(Œdataclasses”Œpython <3.9”Œstopit >=1.1.2,<2.0.0”Œtyping-extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØuÍ=…`BhEM·£hFˆubh)”}”(hŒr-hdm”h#Œ0.3.1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ!r-hdm-0.3.1-r40h6115d3f_2.tar.bz2”h+Œ 50e6c4079bfd5f1d1314753e7ef2b4ab”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hdm-0.3.1-r40h6115d3f_2.tar.bz2”h0Œ@201bc5b77d11d5d5025a17d2af703091e0aa29613d5d2c9b434bdf43694cb660”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-checkmate”Œ	r-formula”Œ	r-ggplot2”Œr-glmnet”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬¾VxÔþhEJ<< hFˆubh)”}”(hŒr-maldirppa”h#Œ1.1.0_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-maldirppa-1.1.0_1-r41hc72bb7e_0.tar.bz2”h+Œ ab115fc71078384d2ac253764cda98b4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-maldirppa-1.1.0_1-r41hc72bb7e_0.tar.bz2”h0Œ@587ce625e46c29a6b44a9be5e50da718b7c3d55fef278175ed8395d6ba28eb88”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-maldiquant”Œr-robustbase”Œr-signal”Œ
r-waveslim”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ‘QÆ·|îhEJ]2 hFˆubh)”}”(hŒr-acs”h#Œ2.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-acs-2.1.4-r41hc72bb7e_0.tar.bz2”h+Œ 637e87e71baba6e673ec795d0a605109”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-acs-2.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@35776bdb47566772da14da96d8f8fe46048dc29988a2284a43bb741d22c08478”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œr-plyr”Œ	r-stringr”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØC´~¡ËhEJ¡ hFˆubh)”}”(hŒr-neuralnet”h#Œ1.44.2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ)r-neuralnet-1.44.2-r351h6115d3f_0.tar.bz2”h+Œ 61bd1dfc5323b70d840fec23f49aba5b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-neuralnet-1.44.2-r351h6115d3f_0.tar.bz2”h0Œ@09a1abd73f7dde2d35b93170f2d9962434cb777713df04b13ec31491ac48ec20”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-deriv”Œr-mass”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×d‚8  hEJ hFˆubh)”}”(hŒnumactl-cos6-x86_64”h#Œ2.0.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ/numactl-cos6-x86_64-2.0.9-ha826a6f_1103.tar.bz2”h+Œ 998c8030aefc54dca9f2b84d7fddc4b4”h.Œ]https://conda.anaconda.org/conda-forge/noarch/numactl-cos6-x86_64-2.0.9-ha826a6f_1103.tar.bz2”h0Œ@666f9cf87d3a2913d918b3c17440b0ab486ca129fcf63fedb82015ed1088a3c1”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2/GPLv2”hBŒGPL2”hDGA×Æ0»?+hEJ²m hFˆubh)”}”(hŒpony”h#Œ0.7.16”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pony-0.7.16-pyhd8ed1ab_0.tar.bz2”h+Œ 7b92ea79772cdf92ee9996c91deeea34”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pony-0.7.16-pyhd8ed1ab_0.tar.bz2”h0Œ@8424c860baad38440d5d8d8d722d0ea956b45fe74b3327f0214c133642de8262”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ|×ÿPhEJÍc hFˆubh)”}”(hŒquantum-grove”h#Œ1.7.0”h%Œpyh8a188c0_2”h'Khhh(h)hŒ(quantum-grove-1.7.0-pyh8a188c0_2.tar.bz2”h+Œ 089779d8bff395d9d2600ff9e437ee8d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/quantum-grove-1.7.0-pyh8a188c0_2.tar.bz2”h0Œ@8abb2e14b3eaec8eb060d92ebf6cb4d8127492a25dfa53aadd3dd631a14f1779”h2NhNh3(Œfuncsigs”Œmatplotlib-base”Œmock”Œnetworkx”Œnumpy”Œpyquil >=1.6.1”Œpython >=3.6”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØl8ä‰7hEM
úhFˆubh)”}”(hŒdbt-bigquery”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dbt-bigquery-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9f9897969582bf946cc7a9e9303fc783”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dbt-bigquery-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ed51d4acd7c1b977adb39856e942e7f86a6140258d941ffd3f128c15d183b6c2”h2NhNh3(Œdbt-core 1.0.0 pyhd8ed1ab_0”Œgoogle-api-core >=1.16.0,<3”Œ!google-cloud-bigquery >=1.25.0,<3”Œgoogle-cloud-core >=1.3.0,<3”Œ#googleapis-common-protos >=1.6.0,<2”Œprotobuf >=3.13.0,<4”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØlŸEjJhEMù…hFˆubh)”}”(hŒr-import”h#Œ1.1.0”h%Œr351h6115d3f_0”h'K hhh(h)hŒ%r-import-1.1.0-r351h6115d3f_0.tar.bz2”h+Œ 72d41fcd5c31b3dc4760929172f542a0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-import-1.1.0-r351h6115d3f_0.tar.bz2”h0Œ@7efd78c5f22567d5a1df352e4bdc59bbec1bc67154d884d6894e683efe0330e5”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×	ÑWz^5hEJ÷¤ hFˆubh)”}”(hŒ	r-inaparc”h#Œ1.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-inaparc-1.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 204608374ba88bea133e3f59ca5d7006”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-inaparc-1.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@883782a33056e1103440cfd4e1e67c0df53d6c45ff2e16ab2450ef14f1a76427”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-kpeaks”Œ	r-lhs >=1”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØªâ¸)º^hEJªX hFˆubh)”}”(hŒbakelite”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#bakelite-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 800f644eaffc2b2a8ca6766a7c705bf5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/bakelite-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@badffda93008c38635726eed13a0e08f3ed27249d4326c5bc34a2e9876f77638”h2NhNh3(Œbitstring >=3.1.7,<4.0.0”Œclick >=8.0.3,<9.0.0”Œdataclasses-json >=0.5.2,<0.6.0”Œjinja2 >=3,<4”Œlark >=0.12.0,<0.13.0”Œpython >=3.6,<4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÌw-‰xÕhEJ¬R hFˆubh)”}”(hŒ
positional”h#Œ1.2.1”h%Œpy_1”h'Khhh(h)hŒpositional-1.2.1-py_1.tar.bz2”h+Œ 6d9f985f960a268d5e3c923fccff3297”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/positional-1.2.1-py_1.tar.bz2”h0Œ@c6794e0a3179c7dbe71c784cb0b64cd033da04ad45b51d2c191f0fc502f16ae6”h2NhNh3Œ	pbr >=1.8”Œpython”Œwrapt”‡”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAÖÒ hªn˜hEMç(hFˆubh)”}”(hŒr-dapr”h#Œ0.0.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-dapr-0.0.3-r40hc72bb7e_1.tar.bz2”h+Œ 7bbc81be85c6b1bdb8ad79b8ca162383”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dapr-0.0.3-r40hc72bb7e_1.tar.bz2”h0Œ@a55b36a9a5e507a20d43cb19dc2b06e4efcd49b72a99b2481cbd913342766304”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*úYO\)hEJ† hFˆubh)”}”(hŒr-rgexf”h#Œ0.16.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-rgexf-0.16.2-r42hc72bb7e_1.tar.bz2”h+Œ 8a6533ec8d439aa92c663e517c6f06b0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rgexf-0.16.2-r42hc72bb7e_1.tar.bz2”h0Œ@bd64d422b28667f16f12d3e5677a195653bf6c79de9268e6911a3bdcf2c06d8c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-igraph”Œr-servr”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑoc•hEJg¦ hFˆubh)”}”(hŒr-ipmisc”h#Œ6.0.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-ipmisc-6.0.2-r40hc72bb7e_0.tar.bz2”h+Œ fd43112bd4bc4fb867040659ff247ece”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipmisc-6.0.2-r40hc72bb7e_0.tar.bz2”h0Œ@ee5aed9097565e0abde0715e6b2844570f4aefba79a16de54efab23eb02c9443”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-dplyr”Œ	r-forcats”Œr-rlang”Œr-rstudioapi”Œr-tibble”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ%D ÷ÏhEMÜhFˆubh)”}”(hŒr-locfdr”h#Œ1.1_8”h%Œ	r351_1000”h'Mèhhh(h)hŒ r-locfdr-1.1_8-r351_1000.tar.bz2”h+Œ 9ab17b9e64aa7b7bcacc269516e2c4af”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-locfdr-1.1_8-r351_1000.tar.bz2”h0Œ@cca21339aa4cbce9268c2290a44743988933d624ec5c3a32329b2b1d96f69c23”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×42Yë…hEJüÎ hFˆubh)”}”(hŒgeeadd”h#Œ0.5.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!geeadd-0.5.6-pyhd8ed1ab_0.tar.bz2”h+Œ a5cf57778f34bb5e81779393176bb5c5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/geeadd-0.5.6-pyhd8ed1ab_0.tar.bz2”h0Œ@216528ead4a53a709eb107c7d83e461ba2c4229b1f7e4cfa0bfdc74e85072a68”h2NhNh3(Œbeautifulsoup4 >=4.9.0”Œearthengine-api >=0.1.217”Œlogzero >=1.5.0”Œpython >3.5”Œrequests >=2.22.0”t”h9h?h@ŒApache Software”hBŒAPACHE”hDGAØÅVLzŸ¾hEM¡fhFˆubh)”}”(hŒr-mlergm”h#Œ0.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-mlergm-0.8-r42hc72bb7e_1.tar.bz2”h+Œ 0866017dc9625cc24636a33a482f6a36”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mlergm-0.8-r42hc72bb7e_1.tar.bz2”h0Œ@4e57f72e82e536573cd49a76810c861dd6805e1a4688be24c4174347d0d88345”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cowplot”Œr-ergm >=3.10.1”Œr-ggally”Œ	r-ggplot2”Œ	r-lpsolve”Œr-matrix”Œr-network >=1.15”Œr-plyr”Œ
r-reshape2”Œr-sna >=2.4”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑœ?OßhEJ¾ hFˆubh)”}”(hŒr-leafpm”h#Œ0.1.0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ$r-leafpm-0.1.0-r36h6115d3f_2.tar.bz2”h+Œ c0e924e8f70a6d82b6c795127ff1fb43”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafpm-0.1.0-r36h6115d3f_2.tar.bz2”h0Œ@5274f8091e743f787a2273a76a9d9d8d4869dec2fa9288f40587829c54370ba0”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-sf >=0.5_2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ms?}hEJ2 hFˆubh)”}”(hŒ
r-hypergeo”h#Œ1.2_13”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ*r-hypergeo-1.2_13-r40h6115d3f_1002.tar.bz2”h+Œ 085ab19ea9a6248aef0943bb0f719fc9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-hypergeo-1.2_13-r40h6115d3f_1002.tar.bz2”h0Œ@e0385fb740ac7e269fcfa6087f7f8cbc5c81f1a0f78a5d242de2619a172f3271”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-contfrac >=1.1_9”Œ	r-desolve”Œr-elliptic >=1.3_5”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«Ø®$“hEJ@ª hFˆubh)”}”(hŒlibice-devel-cos6-x86_64”h#Œ1.0.6”h%Œha826a6f_103”h'Kghhh(h)hŒ3libice-devel-cos6-x86_64-1.0.6-ha826a6f_103.tar.bz2”h+Œ 4858d28e1daf2fd0e87d3897c7846eb6”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos6-x86_64-1.0.6-ha826a6f_103.tar.bz2”h0Œ@7b5d8ebe3796e98426750c317efc745ec133ca90298497d8b01aab78567fb1bb”h2NhNh3Œ libice-cos6-x86_64 ==1.0.6 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{š¡ËhEMþ.hFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ)r-icluster-2.1.0-r40h6115d3f_1003.tar.bz2”h+Œ 393a3dd0b454937a9f4d8efaadd3df54”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r40h6115d3f_1003.tar.bz2”h0Œ@88296f3c5b7e11e31ff59db1c3afb866590aaa3e629199916886230c2f416509”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬¹´ÆffhEJ`*& hFˆubh)”}”(hŒnatural”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"natural-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ f40094d27f0fd39560c726291866f360”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/natural-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@23608d5e50ef258f1ae7c96570fec8c04548aac883b6b663f0984e4fd3ef24bc”h2NhNh3Œpython >=3.6”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGAØc%‰›¦hEM|hFˆubh)”}”(hŒr-ghostknockoff”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-ghostknockoff-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ e69269ee3d5bf084133330607b85dfe1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ghostknockoff-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@a7ac5f13c9023c6bf1f93b3874743aba1034f0bd967cb103c257cd2938673a3c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-corpcor”Œr-cvxr”Œr-gtools”Œr-matrix”Œr-rdsdp”Œ
r-rspectra”Œ
r-seqminer”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒp¤¸hEJ> hFˆubh)”}”(hŒdrawdata”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#drawdata-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 969b75ea4fe793aec14eb7d2b3b0207b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/drawdata-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a5c9fbf4a0fbf374aaa19b11e2397f72032c39b59fd4923b9f50719820d7f2b8”h2NhNh3Œipython >=7.16.1”Œjupyter >=1.0.0”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ¹Ö³÷ÏhEMhFˆubh)”}”(hŒnumactl-cos7-x86_64”h#Œ2.0.12”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0numactl-cos7-x86_64-2.0.12-h9d98e8f_1104.tar.bz2”h+Œ 89117f6dd0299fe99c2ae03fe865c1c9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/numactl-cos7-x86_64-2.0.12-h9d98e8f_1104.tar.bz2”h0Œ@311841e07758ba8506ed3dccf5f81e1d01f5777d5d799d2b59d1d24f692fdcd5”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ59]ìí‘hEJò? hFˆubh)”}”(hŒmuseotoolbox”h#Œ0.13.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ(museotoolbox-0.13.6-pyh9f0ad1d_0.tar.bz2”h+Œ fa7505beaae3c6e20efb312cfc46d2fd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/museotoolbox-0.13.6-pyh9f0ad1d_0.tar.bz2”h0Œ@f33264ea81b0c534d232a3602d59c4265c988aa7eeaf3c4292b0ff012a5f9fe5”h2NhNh3(Œgdal >=2”Œjoblib”Œmatplotlib-base”Œnumpy >=1.7”Œpsutil”Œpython”Œscikit-learn”Œscipy”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×ÄùÔÿ\)hEJÜµ hFˆubh)”}”(hŒmarkdown-it-py”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)markdown-it-py-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 84e8dfb1a9e6a824f32fd45b867271ca”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/markdown-it-py-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@dbeecee5fe7e9b936147619b16163e92b70e6547dee1a09662b277354022b286”h2NhNh3Œattrs >=19.3,<22”Œpython >=3.6”Œtyping_extensions >=3.7.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ&SŸl‹hEM‹ähFˆubh)”}”(hŒhttpagentparser”h#Œ1.8.1”h%Œpy_0”h'K hhh(h)hŒ"httpagentparser-1.8.1-py_0.tar.bz2”h+Œ 99c83ec51ccdb429082d1573b6ee09a1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/httpagentparser-1.8.1-py_0.tar.bz2”h0Œ@4d683c01873f0d8dd51ac87054e570d9eebe13111fa0d987853650a5d93ecbe1”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hEM~!hFˆubh)”}”(hŒr-shadowtext”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-shadowtext-0.1.2-r41hc72bb7e_0.tar.bz2”h+Œ d6cb6b635239745cfb4cd2b7bb63995c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shadowtext-0.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@492384e1959e5276de7b69f11163b0c81874017ae1a116016b64b24d09170480”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-scales”‡”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ˜­•bhEJÉÑ hFˆubh)”}”(hŒ	pure-sasl”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pure-sasl-0.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ ac695eecf21ab48093bc33fd60b4102d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pure-sasl-0.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d18a59d1702ed1f9283ce8f464aa78f5636e758caad650473493b6909b476970”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØQ+‰³hEMÃ5hFˆubh)”}”(hŒlibbonobo-cos7-aarch64”h#Œ2.32.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2libbonobo-cos7-aarch64-2.32.1-hdf0574f_102.tar.bz2”h+Œ 331c35bc4caee33474269ece0ac0b21d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-aarch64-2.32.1-hdf0574f_102.tar.bz2”h0Œ@4ebd7ae11ea87e4c384fef9d3ab4e0fc61a8a5f6470caad2871850871bff39a2”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Åi÷ÏhEJ¸+ hFˆubh)”}”(hŒnspr-cos7-aarch64”h#Œ4.21.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.nspr-cos7-aarch64-4.21.0-h9d98e8f_1104.tar.bz2”h+Œ c07c6f14becd2037849becb7e80c9f26”h.Œ\https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-aarch64-4.21.0-h9d98e8f_1104.tar.bz2”h0Œ@1dfc68fccd6589a51ca2f10bdddec944c7f8dc66a90d3046ace34587b2a5c476”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÉzX´9hEJh hFˆubh)”}”(hŒ	r-ggparty”h#Œ1.0.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ%r-ggparty-1.0.0-r40h6115d3f_2.tar.bz2”h+Œ 305c2a8e3f75db6fa06a56bddbc015aa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggparty-1.0.0-r40h6115d3f_2.tar.bz2”h0Œ@a9c677746731a164e3261ba2865d37621500fa0ec81cd8e9149b66d0c1d433f1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-gtable”Œ
r-partykit”Œr-rlang”Œ
r-survival”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×¬Æ/d1hEJ-C	 hFˆubh)”}”(hŒr-hh”h#Œ3.1_49”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-hh-3.1_49-r41hc72bb7e_1.tar.bz2”h+Œ 557896eca2dc377752f1acb7a0c53081”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hh-3.1_49-r41hc72bb7e_1.tar.bz2”h0Œ@8546f6826ad30e3cfd91b3141139f7b5fa1d3837364b154585faedcbf7241d07”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-colorspace”Œr-gridextra >=2.0.0”Œr-hmisc”Œ	r-lattice”Œr-latticeextra”Œr-leaps”Œ
r-multcomp”Œr-rcolorbrewer”Œ
r-reshape2”Œr-rmpfr >=0.6.0”Œr-shiny >=0.13.1”Œr-vcd”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒÙû¡º^hEJ`M hFˆubh)”}”(hŒr-modeltools”h#Œ0.2_23”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-modeltools-0.2_23-r40h6115d3f_1.tar.bz2”h+Œ 511df4759a3a8b86e9923e5ff8ee362f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-modeltools-0.2_23-r40h6115d3f_1.tar.bz2”h0Œ@5fd12284361742bf83ee8a2bc23de6e69777129e51e053064f20904068156615”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«È²]ÂhEJ+¦ hFˆubh)”}”(hŒlibxext-cos6-x86_64”h#Œ1.3.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.libxext-cos6-x86_64-1.3.3-hdf0574f_102.tar.bz2”h+Œ f8db03a7a27b92b1169f99db5e951875”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxext-cos6-x86_64-1.3.3-hdf0574f_102.tar.bz2”h0Œ@8e5046dd02588fe4d73efe7b3f45eee2c18cc21c837b891dbb095f5f67409ed8”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+”ÒŸ¾hEMÔ„hFˆubh)”}”(hŒlibglvnd-glx-cos7-aarch64”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libglvnd-glx-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h+Œ 281e5d5cd677b30415e9cf42efb72b32”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-glx-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@ec4985f1f58e03e65660eef06276f2469df49ddce93d8853c7fff418dd328d76”h2NhNh3Œ#libglvnd-cos7-aarch64 ==1.0.1 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@YŽ)7LhEJÀÁ hFˆubh)”}”(hŒdask-labextension”h#Œ6.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,dask-labextension-6.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 32a0ba2d4b9ed598d90463d0032aace3”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/dask-labextension-6.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d38e97f5db508ae4bb36264dab4ec10efa508a7d7b1024f6a90deecc46d7bc30”h2NhNh3(Œbokeh >=1.0.0,!=2.0.0”Œdistributed >=1.24.1”Œjupyter-server-proxy >=1.3.2”Œjupyterlab >=3.0.0”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØØP•ÒòhEM¥hFˆubh)”}”(hŒr-repmis”h#Œ0.5”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-repmis-0.5-r36h6115d3f_1.tar.bz2”h+Œ d1b8abdbd8c359f363189fe6cf9eff18”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-repmis-0.5-r36h6115d3f_1.tar.bz2”h0Œ@df4e374e5784494e37a3e4c702d1dd4300cb9c9fe9416979e9f825c10a861392”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-digest”Œr-httr”Œr-plyr”Œ	r-r.cache”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯“¬záhEJ hFˆubh)”}”(hŒ
recordtype”h#Œ1.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#recordtype-1.3-pyhd8ed1ab_1.tar.bz2”h+Œ 010755dbcf9a692f4c8962ee00c9ef27”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/recordtype-1.3-pyhd8ed1ab_1.tar.bz2”h0Œ@0fdcbc25aa8692fb64665764b5d8a6e7a87a09ec490897e8d25dad67efb1e3f7”h2NhNh3Œpython >=3.6”Œsix”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ§Ö¤†ÙhEMÚOhFˆubh)”}”(hŒr-shinyeffects”h#Œ0.2.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ*r-shinyeffects-0.2.0-r36hc72bb7e_0.tar.bz2”h+Œ 43b69fb7e44978ff5f9b4b7bbf1c2ac0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-shinyeffects-0.2.0-r36hc72bb7e_0.tar.bz2”h0Œ@ddf717c92a4418fed8a517792fbbbe6497def4a55abef8b2ef0b8864a0b32b5a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools”Œr-shiny”Œr-shinydashboard”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ'ŠñÆÈ´hEJÃ‘ hFˆubh)”}”(hŒipyurl”h#Œ0.1.3”h%Œpyh76afe40_0”h'K hhh(h)hŒ!ipyurl-0.1.3-pyh76afe40_0.tar.bz2”h+Œ 5324819437786cd7dce30512671cc91c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ipyurl-0.1.3-pyh76afe40_0.tar.bz2”h0Œ@8520970f9e7d25ec73d6141945c325cf01cb752b44df3037525a149cc8447336”h2NhNh3Œipywidgets >=7.0.0,<8.0.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿æ|îhEJ	 hFˆubh)”}”(hŒmetanetx-sdk”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒmetanetx-sdk-0.5.0-py_0.tar.bz2”h+Œ ebd6d5e3afcb4ded99490946393012d9”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/metanetx-sdk-0.5.0-py_0.tar.bz2”h0Œ@dc92c463b211283b5c871cf9a6be3cdb299a43522e1c1cced7d833935ad4cdf5”h2NhNh3(Œaioftp”Œclick”Œ	click-log”Œdepinfo”Œpandas”Œpydantic”Œpython >=3.8”Œpython-dateutil”Œpytz”Œtoml”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×©&‡çmhEM.VhFˆubh)”}”(hŒexpat-cos7-ppc64le”h#Œ2.1.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-expat-cos7-ppc64le-2.1.0-h9b0a68f_105.tar.bz2”h+Œ 941f480855fb610a0005226a380ef630”h.Œ[https://conda.anaconda.org/conda-forge/noarch/expat-cos7-ppc64le-2.1.0-h9b0a68f_105.tar.bz2”h0Œ@418a789f0e7e0bb6aeffe7f8872c0cf3768853a7501fcc76fadf8be2187fc7c2”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡;“uhEJƒb hFˆubh)”}”(hŒr-tmaptools”h#Œ3.1_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-tmaptools-3.1_1-r41hc72bb7e_1.tar.bz2”h+Œ b77a2555f7fc87a887f2f5bf806efdf4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tmaptools-3.1_1-r41hc72bb7e_1.tar.bz2”h0Œ@260ed29f11ffb7feceb94ab6e12bfa2e499deba3bfa7b236f9b7d5dadd11b22a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-classint”Œr-dichromat”Œr-kernsmooth”Œr-lwgeom >=0.1_4”Œ
r-magrittr”Œr-raster >=2.7_15”Œr-rcolorbrewer”Œ
r-sf >=0.9”Œr-stars >=0.4_0”Œr-units >=0.6_1”Œr-viridislite”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ©r,(öhEJ£ð hFˆubh)”}”(hŒcairo-devel-cos7-aarch64”h#Œ1.15.12”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5cairo-devel-cos7-aarch64-1.15.12-h9b0a68f_105.tar.bz2”h+Œ 563d664984c83252652ae58463136d2d”h.Œchttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-aarch64-1.15.12-h9b0a68f_105.tar.bz2”h0Œ@a92ade729a728ce6cb3a98a761bcb5715019231376c21d5adc4524671943736c”h2NhNh3Œ"cairo-cos7-aarch64 ==1.15.12 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGAØ@[·_²hEJkÎ hFˆubh)”}”(hŒ	r-ggupset”h#Œ0.3.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-ggupset-0.3.0-r42hc72bb7e_2.tar.bz2”h+Œ d8109ad7da115dd264080a99980c51f0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggupset-0.3.0-r42hc72bb7e_2.tar.bz2”h0Œ@ca1d02e3acc8121375eefa01c514447ef7601c1fcc429ca71a764dd43bc25550”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.3.0”Œr-gtable”Œr-rlang”Œr-scales”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒqFÐ´9hEJ' hFˆubh)”}”(hŒspm1d”h#Œ0.4.0”h%Œpy_2”h'Khhh(h)hŒspm1d-0.4.0-py_2.tar.bz2”h+Œ 30a290bd17e0b9c61d86d42595943243”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/spm1d-0.4.0-py_2.tar.bz2”h0Œ@812acb131f92e4c0ca2082d6482bb7302649859b1befb69601fb9729b36f93d1”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython”Œscipy”t”h9h?h@ŒGPL-3.0”hDGA×’:ùÝ‘hhEJCÀx hFˆubh)”}”(hŒr-tabulizer”h#Œ0.2.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-tabulizer-0.2.2-r35h6115d3f_0.tar.bz2”h+Œ 1c113865933cb5fac8569cee2d4b5da4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizer-0.2.2-r35h6115d3f_0.tar.bz2”h0Œ@bde42106998cd8c6580c15a805751d8f91edb2182637acaee88837d42acd06a2”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-png”Œr-rjava”Œr-tabulizerjars”t”h9hºh@ŒMIT”hBŒMIT”hDGA×w÷	©ühEJÄV hFˆubh)”}”(hŒ
robustness”h#Œ1.2.1.post2”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ+robustness-1.2.1.post2-pyhd3deb0d_1.tar.bz2”h+Œ a70ca53d7b2e774e87fda024ad7cf174”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/robustness-1.2.1.post2-pyhd3deb0d_1.tar.bz2”h0Œ@8717bc85b5d6989c23047ae687976934aa6a4f49cd1b981783fc019c9dc5c611”h2NhNh3(Œcox”Œdill”Œ	gitpython”Œgputil”Œgrpcio”Œmatplotlib-base”Œnumpy”Œpandas”Œpsutil”Œpy3nvml”Œpytables”Œpython”Œpytorch”Œscikit-learn”Œscipy”Œseaborn”Œtensorboardx”Œtorchvision”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ#€‰G®hEJò/ hFˆubh)”}”(hŒalsa-lib-cos7-aarch64”h#Œ1.1.8”h%Œha826a6f_103”h'Kghhh(h)hŒ0alsa-lib-cos7-aarch64-1.1.8-ha826a6f_103.tar.bz2”h+Œ 7f50585eb217a05a1b5f572fb9793eda”h.Œ^https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos7-aarch64-1.1.8-ha826a6f_103.tar.bz2”h0Œ@02e6087511b26263b880dfeff01441ec16d0f446da32caa27c55f8b3b0ced664”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{²~úhEJÀý hFˆubh)”}”(hŒr-broom.mixed”h#Œ0.2.9.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-broom.mixed-0.2.9.4-r41hc72bb7e_0.tar.bz2”h+Œ c6147a967c10975391549d3917f92144”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-broom.mixed-0.2.9.4-r41hc72bb7e_0.tar.bz2”h0Œ@cecade40ba2fa67431b10f3dc4e8ebd6c9fd97ea73db95118da30ae0b47e3d05”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-coda”Œr-dplyr”Œ	r-forcats”Œr-furrr”Œr-nlme”Œr-purrr”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ—!ä@  hEJzÒ@ hFˆubh)”}”(hŒr-heatmap.plus”h#Œ1.3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ+r-heatmap.plus-1.3-r40h6115d3f_1003.tar.bz2”h+Œ 35469d912575fe75b8b8dcf464ed2b61”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-heatmap.plus-1.3-r40h6115d3f_1003.tar.bz2”h0Œ@1580aa75f15b786933ea979ff98c4c610119e5cf607db361b1cd564ef0a21541”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×¬çG hEMøœhFˆubh)”}”(hŒopencadd”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#opencadd-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ c4eeacda71ed0e0f75e6c1cce51c8671”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/opencadd-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@eb1d13c18c0c6e083957952ce6a235557e3adacd40b37fedbd928447efe7d1d4”h2NhNh3(Œ	biopandas”Œbiopython <=1.77”Œbiotite”Œbravado”Œjsonschema <4.0.0”Œmatplotlib-base”Œ
mdanalysis”Œnglview”Œnumpy”Œpandas”Œpython >=3.6”Œrdkit”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØv¶cxbhEJMy hFˆubh)”}”(hŒ	r-dummies”h#Œ1.5.6”h%Œr35h6115d3f_2”h'Khhh(h)hŒ%r-dummies-1.5.6-r35h6115d3f_2.tar.bz2”h+Œ 743e90f13169d77e2ef7ee2785d1d130”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dummies-1.5.6-r35h6115d3f_2.tar.bz2”h0Œ@ef582bf9ef0d2efe4d36bf8b79c0e006ec41fbe08d57cc58555b10c16164c73d”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L‡Ö›dZhEMXhFˆubh)”}”(hŒgoogle-cloud-speech”h#Œ1.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.google-cloud-speech-1.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 90098287c34b1eb17a96e593981e7cc8”h.Œ\https://conda.anaconda.org/conda-forge/noarch/google-cloud-speech-1.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@4edc12822ef62e83fc91424e8cbacaa7113ce19345cfc6a157198a61e388774c”h2NhNh3ŒGgoogle-api-core-grpc >=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0”Œpython >=3.4”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ Î)™šhEM†µhFˆubh)”}”(hŒr-qqman”h#Œ0.1.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-qqman-0.1.8-r40hc72bb7e_0.tar.bz2”h+Œ 0bb08a051c177e406dd8573d227a0d6d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-qqman-0.1.8-r40hc72bb7e_0.tar.bz2”h0Œ@6b07d4338d606ae5e46c1ad934975fca8df15ccbceeba517f33c452c26e77126”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-calibrate”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØJøuVhEJ'é hFˆubh)”}”(hŒeasydev”h#Œ0.12.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ#easydev-0.12.0-pyh6c4a22f_0.tar.bz2”h+Œ 23648018afcae191ac4b75d16d45bbb6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/easydev-0.12.0-pyh6c4a22f_0.tar.bz2”h0Œ@a5a60a907edd901ff09a07d75b9252c6ed3161b19b345839a3cad4e829614bd3”h2NhNh3(Œcolorama”Œcolorlog”Œpexpect”Œpython >=3.7”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØdÜÖ«¥ãhEM¢¹hFˆubh)”}”(hŒligo-asimov”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ligo-asimov-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ a95c397c612d28897f3ad3e141285aab”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ligo-asimov-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@a241a6441196cb3007b353e9f76a05746bd4c883ac888717661fc80654f02c4c”h2NhNh3(Œclick”Œ	gitpython”Œgwpy”Œligo-gracedb”Œliquidpy”Œlscsoft-glue”Œnetworkx”Œnumpy”Œotter-report”Œpython >=3.6”Œpython-gitlab”Œpython-htcondor”Œpytz”Œpyyaml”Œrequests”t”h9h?h@ŒISC”hDGAØÈ~êñXhEM¶hFˆubh)”}”(hŒr-bbmle”h#Œ1.0.25”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-bbmle-1.0.25-r40hc72bb7e_0.tar.bz2”h+Œ 20fef9fb8bf54d0d6b2c886c74e7c6bf”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bbmle-1.0.25-r40hc72bb7e_0.tar.bz2”h0Œ@d20f22f9802757cce940c14fd1a7c8c680ad6bc3fe19d4584c79cf3254e65443”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bdsmatrix”Œ	r-lattice”Œr-mass”Œr-matrix”Œ	r-mvtnorm”Œ
r-numderiv”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØžêµ)hshEJ¬5 hFˆubh)”}”(hŒ
r-smoother”h#Œ1.1”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ'r-smoother-1.1-r40ha770c72_1002.tar.bz2”h+Œ 26f031cc9a9ce8da20aa0c055e84d595”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-smoother-1.1-r40ha770c72_1002.tar.bz2”h0Œ@7f28c9aff5ea06a186501ba96e616e6ae824a761eefc427cccc2b74ffa93d05d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ttr >=0.22”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+#¥ãhEM;ŒhFˆubh)”}”(hŒlibxml2-devel-cos7-ppc64le”h#Œ2.9.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libxml2-devel-cos7-ppc64le-2.9.1-h9b0a68f_105.tar.bz2”h+Œ b03291c8b66ccb5bac9a65bf29c1172e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-ppc64le-2.9.1-h9b0a68f_105.tar.bz2”h0Œ@6c8c5bf4dda0b4235be662a6d5a946021dd025dfcb184fdf7501c50f264e7750”h2NhNh3Œ"libxml2-cos7-ppc64le ==2.9.1 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‰Y1hEJty hFˆubh)”}”(hŒr-evmix”h#Œ2.12”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-evmix-2.12-r41hc72bb7e_1.tar.bz2”h+Œ 14efc1f4f044e42b865e6bc81a0870a1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-evmix-2.12-r41hc72bb7e_1.tar.bz2”h0Œ@9c8d4e45d48f1e3e4393975f443742776aa4a06e32df9ada168b2dc59f887469”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gsl”Œr-mass”Œ	r-sparsem”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+(+‰‡hEJ—PK hFˆubh)”}”(hŒr-base64”h#Œ2.0.1”h%Œr41ha770c72_0”h'K hhh(h)hŒ$r-base64-2.0.1-r41ha770c72_0.tar.bz2”h+Œ db6ef322d2dccb97a39d380a69c49bfd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-base64-2.0.1-r41ha770c72_0.tar.bz2”h0Œ@bb60aab4f4a38d37c8c7282582f674f6961a89c5535fcbd74a7bf2f25224ac1a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-openssl”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÀv17LhEJ~ hFˆubh)”}”(hŒbio-embeddings-cpcprot”h#Œ0.0.1”h%Œpyhd8ed1ab_10”h'K
hhh(h)hŒ2bio-embeddings-cpcprot-0.0.1-pyhd8ed1ab_10.tar.bz2”h+Œ 183cc68d1bc0609f7bcbb26bceec3d59”h.Œ`https://conda.anaconda.org/conda-forge/noarch/bio-embeddings-cpcprot-0.0.1-pyhd8ed1ab_10.tar.bz2”h0Œ@2be1b96ad6946838221d4654e82991226424699c695651548dd422f2dbe94739”h2NhNh3(Œnumpy >=1.19”Œpython >=3.6”Œpython-lmdb >=1.0”Œpytorch >=1.0”Œscipy >=1.5”Œtape_proteins >=0.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¤Õê5¸hEMgqhFˆubh)”}”(hŒr-ssanv”h#Œ1.1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ$r-ssanv-1.1-r40hc72bb7e_1002.tar.bz2”h+Œ c655a23472151b1168a6ff06dd2319cf”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ssanv-1.1-r40hc72bb7e_1002.tar.bz2”•      h0Œ@ce56358481087b94f192e66eeca84bfc5c027ed841ed784ccf5c1de42a9f64dd”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*í4ÊÀƒhEJ™C hFˆubh)”}”(hŒr-miniui”h#Œ0.1.1.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ)r-miniui-0.1.1.1-r40h6115d3f_1002.tar.bz2”h+Œ 500ccd4f4f07b6a2dac1e92658ca2e34”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-miniui-0.1.1.1-r40h6115d3f_1002.tar.bz2”h0Œ@40dd2a00ba7cd44d632dbee66b82e07f5464994f5cf0936698a21c46d4a587a3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-htmltools >=0.3”Œr-shiny >=0.13”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«òÛÃ•hEM6ÌhFˆubh)”}”(hŒoscrypto”h#Œ1.2.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ#oscrypto-1.2.1-pyhd3deb0d_0.tar.bz2”h+Œ a717f22c057a91fc7b4517f94dc5240e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/oscrypto-1.2.1-pyhd3deb0d_0.tar.bz2”h0Œ@252211957655a9e6a5a24f8a5b25c60a4cb786297401a28b497b16fd855342b6”h2NhNh3Œasn1crypto >=1.0.0”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×þrÏ»÷ÏhEJ‡ß hFˆubh)”}”(hŒperl-exporter-tiny”h#Œ1.002002”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ4perl-exporter-tiny-1.002002-pl5321hd8ed1ab_0.tar.bz2”h+Œ 48d709826875be1f2c108d3d1d8efec7”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/perl-exporter-tiny-1.002002-pl5321hd8ed1ab_0.tar.bz2”h0Œ@abdf86828a12a389d0feb0d70501b267842557bae11820e266526aeb6ab2bebe”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØ½³9÷|îhEM°ohFˆubh)”}”(hŒr-venn”h#Œ1.11”h%Œr41ha770c72_0”h'K hhh(h)hŒ!r-venn-1.11-r41ha770c72_0.tar.bz2”h+Œ c6804a8749f0a4277ad6ca80b5719b11”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-venn-1.11-r41ha770c72_0.tar.bz2”h0Œ@f81596100454e8c2df74571ae951c63964bb96d36234c410110559eb04913860”h2NhNh3Œr-admisc >=0.5”Œr-base >=4.1,<4.2.0a0”†”h9hºh@Œ
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r-markdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGA×NðQìhEJ$ hFˆubh)”}”(hŒbounded-pool-executor”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0bounded-pool-executor-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ d8a39f2e6da4ba10ce7c4aba2c8a69d5”h.Œ^https://conda.anaconda.org/conda-forge/noarch/bounded-pool-executor-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@967bce773b4715e14d98821db05ba23af3c2c166cb75f913542a342c15ed4300”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ]²Ò õÃhEMThFˆubh)”}”(hŒr-colorblindness”h#Œ0.1.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-colorblindness-0.1.9-r42hc72bb7e_1.tar.bz2”h+Œ 0f9ea39ae81d537a7bec22542620bfce”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-colorblindness-0.1.9-r42hc72bb7e_1.tar.bz2”h0Œ@ecb8e898f12c756d8b5efb2351830b31d7d382a36b803b84fddde1a94bdccc38”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œ	r-cowplot”Œ	r-ggplot2”Œr-gridgraphics”Œr-gtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ“óõÃhEJÖ6 hFˆubh)”}”(hŒesmtools”h#Œ1.1.3”h%Œpy_0”h'K hhh(h)hŒesmtools-1.1.3-py_0.tar.bz2”h+Œ da22de4de575e1df45756aaf680f52de”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/esmtools-1.1.3-py_0.tar.bz2”h0Œ@9b7401db91dd92772195208d3b85b516d34b813c08ba9e459b839d7fc05987f9”h2NhNh3(Œcftime”Œmatplotlib-base”Œnumpy”Œpython >3.6”Œscipy”Œstatsmodels”Œtqdm”Œxarray >=0.15.1”Œxskillscore”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Äulê\hEMBphFˆubh)”}”(hŒ	imagesize”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$imagesize-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ be807e7606fff9436e5e700f6bffb7c6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/imagesize-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@30e06a54ef5d9584e14c0a70a21946b2ffcf58729fe8ff54226ad6f3bd7f298b”h2NhNh3Œpython >=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGAØb¹u¡©ühEM·#hFˆubh)”}”(hŒlibxcb-devel-cos7-aarch64”h#Œ1.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libxcb-devel-cos7-aarch64-1.13-h9b0a68f_1105.tar.bz2”h+Œ 3d941d32a1189c756fb674bee043bc00”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxcb-devel-cos7-aarch64-1.13-h9b0a68f_1105.tar.bz2”h0Œ@7ff9e9cc7ede41f692d008e36525088ce11861e8ac62af46d783e3e15a5fde83”h2NhNh3Œ!libxcb-cos7-aarch64 ==1.13 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‹ÚŸÎÙhEJW hFˆubh)”}”(hŒr-taxize”h#Œ0.9.100”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-taxize-0.9.100-r42hc72bb7e_1.tar.bz2”h+Œ 99426a11726b9f3a836e18801806683a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-taxize-0.9.100-r42hc72bb7e_1.tar.bz2”h0Œ@ef0b09a81506c70795a9aa0f16786eab62f07bedc6d7e7358eb8a02e4874cd5b”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-bold >=0.8.6”Œr-cli”Œr-conditionz”Œr-crayon”Œr-crul >=0.7.0”Œr-data.table”Œ	r-foreach”Œ
r-jsonlite”Œr-natserv >=1.0.0”Œ
r-phangorn”Œr-r6”Œr-ritis >=0.7.6”Œr-rotl >=3.0.0”Œr-rredlist >=0.5.0”Œr-tibble >=1.2”Œr-wikitaxa >=0.3.0”Œr-worrms >=0.4.0”Œr-xml2 >=1.2.0”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒùÕ©%hEJs hFˆubh)”}”(hŒ	r-stapler”h#Œ0.7.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-stapler-0.7.1-r41hc72bb7e_2.tar.bz2”h+Œ 4a9b426a821e9d69f792dcd588acfced”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stapler-0.7.1-r41hc72bb7e_2.tar.bz2”h0Œ@9c135d6039316b793fa796f79213e136defbc286c61c41ba5ea59850f7f546c2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrixstats”Œr-rnifti”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒåÁ‰7hEJtó hFˆubh)”}”(hŒlibsepol-cos7-aarch64”h#Œ2.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.libsepol-cos7-aarch64-2.5-hdf0574f_102.tar.bz2”h+Œ 3323d93d73a03416f250c06632ce2d01”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-aarch64-2.5-hdf0574f_102.tar.bz2”h0Œ@3e61f7415aea7e30dd9969dceaba75205d8faab350649858fbf04367c1173a9e”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å*ðÛçmhEJ~O hFˆubh)”}”(hŒfire”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒfire-0.2.1-py_0.tar.bz2”h+Œ 7d1656132ad4be76d83120c29eb93085”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/fire-0.2.1-py_0.tar.bz2”h0Œ@c178f582248f03925490337a6657371358fb1ca27e2e2bfa5cb83db56423111b”h2NhNh3Œpython”Œsix”Œ	termcolor”‡”h9h?h@ŒApache-2”hBŒApache”hDGA×PÑ4GKÇhEJ! hFˆubh)”}”(hŒlibrdmacm-cos7-x86_64”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ0librdmacm-cos7-x86_64-22.4-ha826a6f_1103.tar.bz2”h+Œ f4a5ff73c9dd6d54716fa96f3bb80341”h.Œ^https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-x86_64-22.4-ha826a6f_1103.tar.bz2”h0Œ@9c78825fd6311a37822724f49d1478345ba62a4d8f1f286adc02a7e7460df4e9”h2NhNh3Œ$libibverbs-cos7-x86_64 ==22.4 *_1103”Œ#rdma-core-cos7-x86_64 ==22.4 *_1103”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,×j^5hEJù hFˆubh)”}”(hŒr-sparql”h#Œ1.16”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ&r-sparql-1.16-r41hc72bb7e_1004.tar.bz2”h+Œ 68187326e6b7ee6f4b49bfd5adad7570”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparql-1.16-r41hc72bb7e_1004.tar.bz2”h0Œ@0cca78a84b9bbb4b047c8541632ad6077adf494c76984fb8cb6629fb08853ae6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rcurl”Œr-xml”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØt„$ffhEMwÚhFˆubh)”}”(hŒh11”h#Œ0.14.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒh11-0.14.0-pyhd8ed1ab_0.tar.bz2”h+Œ b21ed0883505ba1910994f1df031a428”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2”h0Œ@817d2c77d53afe3f3d9cf7f6eb8745cdd8ea76c7adaa9d7ced75c455a2c2c085”h2NhNh3Œ
python >=3”Œtyping_extensions”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÌ)àã×
hEM{¼hFˆubh)”}”(hŒcachecontrol”h#Œ0.11.7”h%Œpy_0”h'K hhh(h)hŒ cachecontrol-0.11.7-py_0.tar.bz2”h+Œ 1ddc97e4f9bcb6fc10a821dcad5ae622”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cachecontrol-0.11.7-py_0.tar.bz2”h0Œ@99c7695655d4a8a18603c7a14e8a68f805a6b2841980337107a7d0b9484b09bc”h2NhNh3Œpython”Œrequests”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×â‰¯l‹hEMiChFˆubh)”}”(hŒr-factormerger”h#Œ0.4.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ*r-factormerger-0.4.0-r42hc72bb7e_3.tar.bz2”h+Œ 1b027c64a937c227a543819c0a9b7f12”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-factormerger-0.4.0-r42hc72bb7e_3.tar.bz2”h0Œ@25d9b46b68fc7d937ef523707a9d1593c12a69d96657483363ceba2d267dd6da”h2NhNh3(Œr-agricolae”Œr-base >=4.2,<4.3.0a0”Œr-colorramps”Œr-dplyr”Œ	r-forcats”Œr-formula.tools”Œ	r-ggplot2”Œr-ggpubr”Œr-knitr”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÓyP‚JhEJDß$ hFˆubh)”}”(hŒ	cmakelang”h#Œ0.6.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%cmakelang-0.6.13-pyhd8ed1ab_0.tar.bz2”h+Œ a094112a9290da4abf1745d6ff29f0e1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/cmakelang-0.6.13-pyhd8ed1ab_0.tar.bz2”h0Œ@8ae5107c1ba1e47cb1f361db047310cb35e6a63000593e5f2b72289f16ccbed7”h2NhNh3(Œjinja2 >=2.10.3”Œpython >=3.6”Œpyyaml >=5.3”Œsix >=1.13.0”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ˜bóeÒòhEJ£» hFˆubh)”}”(hŒ	r-mcbiopi”h#Œ1.1.6”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ(r-mcbiopi-1.1.6-r36h6115d3f_1001.tar.bz2”h+Œ bfca4b0fcfe802fccf19f8aa1676e61e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mcbiopi-1.1.6-r36h6115d3f_1001.tar.bz2”h0Œ@ed9300d2518192b8106765fbf3ac0876436c60c7f60f901d365fff2af91e61d5”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGA×LØhfVhEM<®hFˆubh)”}”(hŒlibjpeg-turbo-cos7-aarch64”h#Œ1.2.90”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6libjpeg-turbo-cos7-aarch64-1.2.90-hdf0574f_102.tar.bz2”h+Œ b5d1f9c340157a243bf88da183ab73fe”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-aarch64-1.2.90-hdf0574f_102.tar.bz2”h0Œ@04106fbedda63fb6cf152ca9e73a656c5c0f8e65fec73306c59294392a7b1725”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒIJG”hBŒOther”hDGA×ÅÄ';33hEJd hFˆubh)”}”(hŒ
brian2genn”h#Œ1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#brian2genn-1.6-pyhd8ed1ab_0.tar.bz2”h+Œ ff46c1431af5da939c4da31708d7bfb6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/brian2genn-1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@5d670c2f5c2b3b10438d8e16ef2a2746ad146d99c6ced3ea9e6ed39cc2a21c63”h2NhNh3Œbrian2 >=2.4.2”Œpython >=3.6”Œsix”‡”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ&jV”‹DhEJ|  hFˆubh)”}”(hŒdoit-with-toml”h#Œ0.36.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*doit-with-toml-0.36.0-pyhd8ed1ab_0.tar.bz2”h+Œ 593faaa546937cfa071928c9127fcb12”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/doit-with-toml-0.36.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8ea49e90ed281c534d9df06885e3458c9d9e4a191ceb7604ce87022e4636f968”h2NhNh3Œdoit >=0.36.0,<0.36.1.0a0”Œpython >=3.8”Œtomli”‡”h9h?hDGAØ˜¶X˜£×hEMhFˆubh)”}”(hŒpymatsolver”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ d824e3266c690c6b8c662cf19fa62b3f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8”h2NhNh3(Œnumpy”Œpydiso”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØY€ß¸QìhEMÄ9hFˆubh)”}”(hŒr-noisefiltersr”h#Œ0.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ+r-noisefiltersr-0.1.0-r40hc72bb7e_1.tar.bz2”h+Œ a6da965824a1a2f5327eb868fe9df9be”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-noisefiltersr-0.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@e58ba2de231dc5c42dcd0a383f4ebbcc9c3716cbadbdf9f349769d0ebdb1f00c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-caret”Œr-e1071”Œr-kknn”Œr-mass”Œr-nnet”Œr-randomforest”Œr-rjava”Œr-rpart”Œr-rweka”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+Òl	hshEJcâ hFˆubh)”}”(hŒlibselinux-cos7-ppc64le”h#Œ2.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1libselinux-cos7-ppc64le-2.5-h9b0a68f_1105.tar.bz2”h+Œ fe9d62f6719dcb312f274d79f90f0e42”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-ppc64le-2.5-h9b0a68f_1105.tar.bz2”h0Œ@3622d111e2c0096c25d29ede231216fe3fbb19973bdc3db923bf029d17a1626b”h2NhNh3Œ"libsepol-cos7-ppc64le >=2.5 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@Ž.œIºhEJJ• hFˆubh)”}”(hŒ	aioserial”h#Œ1.3.0”h%Œpy_0”h'K hhh(h)hŒaioserial-1.3.0-py_0.tar.bz2”h+Œ 49b0a5e5442b5365e975e24ba95de081”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/aioserial-1.3.0-py_0.tar.bz2”h0Œ@fef26d3be757c6572a53d3aed6b71f52ae71f0a13bfa4c156040780f33bda836”h2NhNh3Œpyserial”Œpython >=3.6”†”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGA×¿6*=qhEMº7hFˆubh)”}”(hŒr-heatmap.plus”h#Œ1.3”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ+r-heatmap.plus-1.3-r35h6115d3f_1002.tar.bz2”h+Œ 6dd4119874c24b99e467a7f6ae6eea2c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-heatmap.plus-1.3-r35h6115d3f_1002.tar.bz2”h0Œ@326cdd6766dd2ecf22a50bf95001613c3ed5081c5c3ce8fc0ed260fdd528722a”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×Ly8–5?hEMëohFˆubh)”}”(hŒ
r-sampsurf”h#Œ0.7_6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-sampsurf-0.7_6-r40hc72bb7e_0.tar.bz2”h+Œ 0060eaed9ebbcec0331eb24dc048b12f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sampsurf-0.7_6-r40hc72bb7e_0.tar.bz2”h0Œ@898931ef43ec500c7717729304bb72a1d2f5cf03ff5346b9b1552a6779d28c07”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot >=1.3_3”Œr-lattice >=0.20_35”Œr-latticeextra >=0.6_28”Œr-raster >=1.9_5”Œr-rastervis >=0.10_3”Œr-sp >=0.9_84”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØŸ`BhEJ*x9 hFˆubh)”}”(hŒr-pubmedwordcloud”h#Œ0.3.6”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ-r-pubmedwordcloud-0.3.6-r40hc72bb7e_1.tar.bz2”h+Œ bcc3e9263a652da8f29b3a4bddef108a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pubmedwordcloud-0.3.6-r40hc72bb7e_1.tar.bz2”h0Œ@892b542533ba9dea81cdda4d79cb73a9f1c748c61242b25ca34f12db2e00d90f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-rcolorbrewer”Œr-rcurl”Œ	r-stringr”Œr-tm”Œr-wordcloud”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+XÉÕ`BhEMôÀhFˆubh)”}”(hŒr-cgdsr”h#Œ1.3.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ#r-cgdsr-1.3.0-r35h6115d3f_0.tar.bz2”h+Œ 07f9137a64a0e15da84a62a126d84865”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cgdsr-1.3.0-r35h6115d3f_0.tar.bz2”h0Œ@2e3cad220f4b144c930b71f12cde5c9413850d7c38ac42d454acbf79e5a9cb5c”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-httr”Œr-r.methodss3”Œr-r.oo”t”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×DÚõ)%hEJn` hFˆubh)”}”(hŒ
r-combinat”h#Œ0.0_8”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ)r-combinat-0.0_8-r41hc72bb7e_1004.tar.bz2”h+Œ 5061a50724e61a4cb71e147ef242ce8b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinat-0.0_8-r41hc72bb7e_1004.tar.bz2”h0Œ@62e52e285d396c0f86da410c5450d7fabe4d25ce91a548c820bd455db664cf34”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ}—NffhEM×hFˆubh)”}”(hŒpynisher”h#Œ0.6.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pynisher-0.6.4-pyhd8ed1ab_0.tar.bz2”h+Œ c2d5b9e777979238617ccac91f18df6f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pynisher-0.6.4-pyhd8ed1ab_0.tar.bz2”h0Œ@06e6588cf9d3096eb330a50385cdbea2142ab693663df83a20f2ab32cd89f87f”h2NhNh3(Œ__unix”Œpsutil”Œpython >=3.6”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÛ®ÞffhEM*+hFˆubh)”}”(hŒfuture_typing”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(future_typing-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ b8050fcc962ad4af8e5925fd2bc1c006”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/future_typing-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ac2bee50194a5ddde7151ba328f503a9fbfd7d23104061ba7331aa76f8ca91d5”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ;ÓcŒIºhEM!(hFˆubh)”}”(hŒnolearn”h#Œ0.6.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"nolearn-0.6.1-pyhd8ed1ab_1.tar.bz2”h+Œ b8d3b6e4a8ad98f598abb793ea4bea53”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/nolearn-0.6.1-pyhd8ed1ab_1.tar.bz2”h0Œ@ae6cf7ca2aa536cb6868c4a6b297a590ceaa6debbd0b796ba05efa7c449a12a9”h2NhNh3(Œjoblib”Œlasagne”Œpython >=2.7”Œscikit-learn <0.20”Œtabulate”Œtheano”t”h9h?h@ŒMIT”hBŒMIT”hDGAØeƒí²-hEM½‹hFˆubh)”}”(hŒpy_lru_cache”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒpy_lru_cache-0.1.4-py_0.tar.bz2”h+Œ e1d8de94f5ccd7f92dfbaac8ac147bed”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/py_lru_cache-0.1.4-py_0.tar.bz2”h0Œ@cb694a8a08b2f564b07bc85a0aded00bd695d0b3971e79c60670ee4120f5ef19”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×5"d1hEM¼LhFˆubh)”}”(hŒpciutils-devel-cos6-x86_64”h#Œ3.1.10”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6pciutils-devel-cos6-x86_64-3.1.10-h9d98e8f_104.tar.bz2”h+Œ 91e1f388d55a2d697f4c34d9b353df7e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos6-x86_64-3.1.10-h9d98e8f_104.tar.bz2”h0Œ@92bb0b13773e39435915f07f1ae75dc726983cad5a6bcdf36f12e916aeaefe2f”h2NhNh3Œ(pciutils-libs-cos6-x86_64 ==3.1.10 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Éznî5?hEM<uhFˆubh)”}”(hŒpysot”h#Œ0.3.3”h%Œpyh95af2a2_0”h'K hhh(h)hŒ pysot-0.3.3-pyh95af2a2_0.tar.bz2”h+Œ ebbdcaeca82c44abb55251b2306667e3”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pysot-0.3.3-pyh95af2a2_0.tar.bz2”h0Œ@3a9eda666980ef61b4694dd09a338df3e2a46366fd00a7f0d62fb72ed2f2a62b”h2NhNh3(Œdill”Œpoap >=0.1.25”Œpy_dempster_shafer”Œpydoe2”Œpython”Œscipy”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¼à0333hEM¹ÁhFˆubh)”}”(hŒpython-twitter”h#Œ3.5”h%Œpy_0”h'K hhh(h)hŒpython-twitter-3.5-py_0.tar.bz2”h+Œ bd5960e357b2cb6c6d4654c57661078e”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/python-twitter-3.5-py_0.tar.bz2”h0Œ@95906a3117c4c176b934c814b35cb18a51de4e98d87412ff2195d80889bccf31”h2NhNh3(Œfuture”Œpython”Œrequests”Œrequests-oauthlib”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×!¾ù‡hEMSèhFˆubh)”}”(hŒ
r-tidygate”h#Œ0.4.9”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-tidygate-0.4.9-r41hc72bb7e_1.tar.bz2”h+Œ 6250855b5a3acfc5a5584c2dee1c400c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidygate-0.4.9-r41hc72bb7e_1.tar.bz2”h0Œ@f62f91b1f0a986429751626fb128b7d1e7706b7643d6b8b465d24ef6d3c7a909”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-lifecycle”Œ
r-magrittr”Œr-purrr”Œr-rcolorbrewer”Œr-rlang”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œ	r-viridis”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ÷T¹%hEJ¾	 hFˆubh)”}”(hŒr-janeaustenr”h#Œ1.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-janeaustenr-1.0.0-r40hc72bb7e_0.tar.bz2”h+Œ 4bdb42820827053ba93c7329e5626530”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-janeaustenr-1.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@6f91246fe11267b7d6553493da068296c33a10bd3d42f9522ddc6e819a2357e5”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÂeâî5?hEJ hFˆubh)”}”(hŒtornado_sqlalchemy_login”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒ+tornado_sqlalchemy_login-0.1.0-py_0.tar.bz2”h+Œ 8f6d4bd4de422d54b4341c1bdd43e4e7”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/tornado_sqlalchemy_login-0.1.0-py_0.tar.bz2”h0Œ@1d7221fb085039df246d47681d53649ff7bce5e4bbbbac3f2a33e14853526c4e”h2NhNh3(Œjinja2 >=2.10”Œpython >=3.7”Œrequests >=2.22.0”Œsqlalchemy >=1.3.0”Œtornado >=6.0.3”Œujson >=1.35”t”h9h?h@Œ
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r-rcppdate”h#Œ0.0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-rcppdate-0.0.3-r40hc72bb7e_0.tar.bz2”h+Œ 76b63a7b7ce9f8011ad97d589abad28c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rcppdate-0.0.3-r40hc72bb7e_0.tar.bz2”h0Œ@a5c20b6c10869c43b50218ddb1f66cfaf2b96371cba6c43b342719feb97c9555”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ)J¤—¾whEJ} hFˆubh)”}”(hŒ	r-infuser”h#Œ0.2.8”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-infuser-0.2.8-r36h6115d3f_1002.tar.bz2”h+Œ e178b05f3d7d27432cbf77ac5238d92d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-infuser-0.2.8-r36h6115d3f_1002.tar.bz2”h0Œ@4af4012b89d3757b2e6dc3975ec9dc90d9915cd7fb0b6e6fff2e5d66980b4dd4”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×LuãÞvÉhEM†hFˆubh)”}”(hŒpep562”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpep562-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 07460ca0478b8779dc5f559c6f546a44”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pep562-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1d97acae63702448f1effb64d444d44e12e934fcef80a105a3c228895ae0d492”h2NhNh3Œpython >=2.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ*L‡+hEMÿ&hFˆubh)”}”(hŒr-tidycmprsk”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-tidycmprsk-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 70867186ec9c2c2ab2fc60f9eeade9b9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tidycmprsk-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@379e3dec7b0e2244f2834055547423f978030e2546ff83a0042c04f916411c3a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom >=0.7.11”Œr-cli >=3.1.0”Œr-cmprsk >=2.2.10”Œr-dplyr >=1.0.7”Œr-ggplot2 >=3.3.5”Œr-gtsummary >=1.5.2”Œr-hardhat >=0.2.0”Œr-purrr >=0.3.4”Œr-rlang >=1.0.0”Œr-stringr >=1.4.0”Œ
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r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ›…”IºhEJ] hFˆubh)”}”(hŒr-plotwidgets”h#Œ0.5.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-plotwidgets-0.5.1-r41hc72bb7e_1.tar.bz2”h+Œ ea3761b75ca5826bea16d65fbc258b8d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plotwidgets-0.5.1-r41hc72bb7e_1.tar.bz2”h0Œ@298d9a232f2aa8c2ea1aa35fc6e6b32f189cb7b4e5519276d13c3c674c108b32”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ+~È´hEJL‘ hFˆubh)”}”(hŒdask-cloudprovider”h#Œ	2022.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1dask-cloudprovider-2022.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ b0f64c7a9e674fd503c34164d78bcf2e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/dask-cloudprovider-2022.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6000554a08d03fd4bcf5aaf9719ada366ef585580c151995e9f486eee9438836”h2NhNh3(Œaiobotocore >=0.10.2”Œdask >=2.2.0”Œdistributed >=2.3.1”Œpython >=3.5”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÔ©oÿ|îhEMüÉhFˆubh)”}”(hŒgslides”h#Œ0.1.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"gslides-0.1.1-pyhd8ed1ab_1.tar.bz2”h+Œ 5b850d8c9b858f41229cfb8c9d33224b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/gslides-0.1.1-pyhd8ed1ab_1.tar.bz2”h0Œ@ff0f960697e53c6742ff319f937f8293b3f3428b10d280ee6e28e05f43b46483”h2NhNh3(Œgoogle-api-core >=1.26.2”Œ google-api-python-client >=2.0.2”Œgoogle-auth >=1.28.0”Œgoogle-auth-httplib2 >=0.1.0”Œgoogle-auth-oauthlib >=0.4.3”Œ!googleapis-common-protos >=1.53.0”Œipython >=7.16.1”Œnumpy >=1.19.5”Œpandas >=1.1.5”Œpython >=3.7”Œpyyaml >=5.4.1”Œrequests >=2.22.0”Œtabulate >=0.8.9”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ{b”¬hEMœuhFˆubh)”}”(hŒr-gptk”h#Œ1.08”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ%r-gptk-1.08-r351h6115d3f_1000.tar.bz2”h+Œ ed80d829983107ff17398e387c135859”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gptk-1.08-r351h6115d3f_1000.tar.bz2”h0Œ@9d0e850f4a10b075d379a27f828aca8366a6160d46b35420be11127b5596cc4b”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-fields”Œr-matrix”‡”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×Õ3…hEJQé hFˆubh)”}”(hŒr-r6p”h#Œ0.3.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-r6p-0.3.0-r41hc72bb7e_1.tar.bz2”h+Œ 6ee9ff1348c277e88926e1ba7d3ceb5b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-r6p-0.3.0-r41hc72bb7e_1.tar.bz2”h0Œ@ffeea766e82f78fb448da98a6e0a28cf2d36f0753740ebf1a053bafcdd87c90e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-collections”Œr-dplyr”Œr-purrr”Œr-r6”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑZ÷ªáHhEJüt hFˆubh)”}”(hŒalsa-lib-cos6-x86_64”h#Œ1.1.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0alsa-lib-cos6-x86_64-1.1.0-h9b0a68f_1105.tar.bz2”h+Œ 43ce99d59958c058248c0fe8e32f98b9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos6-x86_64-1.1.0-h9b0a68f_1105.tar.bz2”h0Œ@134c948dc800f8626490ff54e03ae68ed465926e281e696296225f24ac6ee63f”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@U…JhEJÁ· hFˆubh)”}”(hŒstarlette-base”h#Œ0.13.6”h%Œpy_0”h'K hhh(h)hŒ"starlette-base-0.13.6-py_0.tar.bz2”h+Œ 4048417a60cd022ce5c1badb0a2e11dd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/starlette-base-0.13.6-py_0.tar.bz2”h0Œ@6ff9a1d45634075575513f85249e274bf39b5d8c03e5f6f910ce8912465e6601”h2NhNh3Œpython >=3.6”…”h6Œstarlette 0.13.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Æa¡yG®hEM{²hFˆubh)”}”(hŒlibselinux-devel-cos7-aarch64”h#Œ2.5”h%Œ
h1341992_0”h'K hhh(h)hŒ4libselinux-devel-cos7-aarch64-2.5-h1341992_0.tar.bz2”h+Œ 403a396b21cb519dfe8496224c407ec6”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-aarch64-2.5-h1341992_0.tar.bz2”h0Œ@15a9c6ee77857da0c3b0594ba0138ff4c163e02507eff14ed5c7f78eec872af8”h2NhNh3Œ&libselinux-cos7-aarch64 2.5 h1341992_0”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×ZDÓ^hEJ¯` hFˆubh)”}”(hŒrb-citeproc”h#Œ1.0.9”h%Œ
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r-numderiv”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«ö&¤¼jhEJ¢ hFˆubh)”}”(hŒlibbonobo-devel-cos7-aarch64”h#Œ2.32.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ8libbonobo-devel-cos7-aarch64-2.32.1-hdf0574f_102.tar.bz2”h+Œ 358fcf80915079e48c3197443ceae572”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos7-aarch64-2.32.1-hdf0574f_102.tar.bz2”h0Œ@bc029e97b8d43062b1c6348d46b54e03ece268879df3b207e75cddf863539394”h2NhNh3Œ%libbonobo-cos7-aarch64 ==2.32.1 *_102”Œ)libxml2-devel-cos7-aarch64 >=2.4.21 *_102”Œ'orbit2-devel-cos7-aarch64 >=2.7.5 *_102”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×ÅiÌûçhEJT­ hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_6”h'Khhh(h)hŒ fenics-ffc-2019.1.0-py_6.tar.bz2”h+Œ 4535cb5a5b938c2fc176ab4e6a7abce3”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_6.tar.bz2”h0Œ@ad557820256d117946d4858eb42c6a63de047939e457cae2b88d6ae44715acac”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×YšÂ-hEJêã hFˆubh)”}”(hŒscikit-procrustes”h#Œ0.1”h%Œpyh39e3cac_1”h'Khhh(h)hŒ*scikit-procrustes-0.1-pyh39e3cac_1.tar.bz2”h+Œ 9538e8344c062aec81ce933023bbbaef”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/scikit-procrustes-0.1-pyh39e3cac_1.tar.bz2”h0Œ@d249f269940eb31e72c1c04fb5643a677bdedec7e178e6570140cf19420e5a8e”h2NhNh3(Œ
matplotlib”Œnumpy”Œ
python >=3”Œscipy”t”h9h?h@ŒBSD 2-Clause”hDGAÖõÖ«dZhEM6QhFˆubh)”}”(hŒ
r-combinat”h#Œ0.0_8”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ)r-combinat-0.0_8-r42hc72bb7e_1004.tar.bz2”h+Œ 1a02437d8d4de7d589d98071d70ab60e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinat-0.0_8-r42hc72bb7e_1004.tar.bz2”h0Œ@e4089dcf957c6d1def7c3adb398511ee9f2f37bb070639dd3939a2aaf1a0e3b2”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ}“—¾whEMn×hFˆubh)”}”(hŒr-rvest”h#Œ1.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-rvest-1.0.3-r42hc72bb7e_1.tar.bz2”h+Œ 3c067695e68d795b1ea9b3e2776186eb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rvest-1.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@4aa44f3b0ce79790e864ad384d6b7bc7387df2f6cf29938bffd2c72156a0dfcf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-glue”Œr-httr >=0.5”Œr-lifecycle >=1.0.0”Œ
r-magrittr”Œr-rlang >=1.0.0”Œ	r-selectr”Œr-tibble”Œr-withr”Œr-xml2 >=1.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ¾™Ä‹DhEJ` hFˆubh)”}”(hŒr-xmlparsedata”h#Œ1.0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-xmlparsedata-1.0.5-r41hc72bb7e_1.tar.bz2”h+Œ 921c0ef7104d8df0ab506f1bb81a062c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-xmlparsedata-1.0.5-r41hc72bb7e_1.tar.bz2”h0Œ@4547b86145b59e8b907c593dd657ca6d58aeeb8b9415b388973f5b31297c1d17”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ„ƒœ›¦hEMãjhFˆubh)”}”(hŒr-intergraph”h#Œ2.0_2”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ+r-intergraph-2.0_2-r36h6115d3f_1001.tar.bz2”h+Œ 4053d1265aa674be87ffc90dbed5884d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-intergraph-2.0_2-r36h6115d3f_1001.tar.bz2”h0Œ@1490bccc5fd9070997861da2a2327f5877317c7c5a74ee2de03bcc644c468358”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-igraph >=0.6_0”Œr-network >=1.4_1_1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Læ[ÊÁhEJð< hFˆubh)”}”(hŒaiida-wannier90”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*aiida-wannier90-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0347facbf18f2b4fc443fbea1698007e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/aiida-wannier90-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@5fb4efec79aaebf0bdd46d52b493d5b0741cc0a2182b28178ab3af2326e7060a”h2NhNh3Œaiida-core >=1.0.0,<2”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ³²¸hEM»lhFˆubh)”}”(hŒenforce-typing”h#Œ1.0.0.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/enforce-typing-1.0.0.post1-pyhd8ed1ab_0.tar.bz2”h+Œ 996454b7deb7cb41c36b1fb1424a327e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/enforce-typing-1.0.0.post1-pyhd8ed1ab_0.tar.bz2”h0Œ@4554976e15277c9232bd7e683b8efe1009d31b8ba11da0d57ac1cf90462ed76a”h2NhNh3Œpython >=3.5”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÈ{SøhEMVUhFˆubh)”}”(hŒorbit2-devel-cos6-x86_64”h#Œ2.14.17”h%Œha826a6f_103”h'Kghhh(h)hŒ5orbit2-devel-cos6-x86_64-2.14.17-ha826a6f_103.tar.bz2”h+Œ f15233f3be18938789619e9249d2e0a4”h.Œchttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos6-x86_64-2.14.17-ha826a6f_103.tar.bz2”h0Œ@ecd66392a2fd12d516bf71f1706c65f3014ec411e60a7a39880dde35aad650ce”h2NhNh3Œ%glib2-devel-cos6-x86_64 >=2.2.0 *_103”Œ&libidl-devel-cos6-x86_64 >=0.8.2 *_103”Œ"orbit2-cos6-x86_64 ==2.14.17 *_103”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Æ2>ß|îhEJ’[ hFˆubh)”}”(hŒr-coda”h#Œ0.19_4”h%Œr36h142f84f_0”h'K hhh(h)hŒ#r-coda-0.19_4-r36h142f84f_0.tar.bz2”h+Œ f29914beaef04a82752c820d85a8f596”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-coda-0.19_4-r36h142f84f_0.tar.bz2”h0Œ@4e60634e6c447900929c6e17a8b798f47504764de99c11604ecb9934cbd04159”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-lattice”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ÝX]ÂhEJí4 hFˆubh)”}”(hŒr-roi.plugin.lpsolve”h#Œ1.0_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ0r-roi.plugin.lpsolve-1.0_1-r42hc72bb7e_1.tar.bz2”h+Œ 686fe74db0646e8d1ec0244db2f079a9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-roi.plugin.lpsolve-1.0_1-r42hc72bb7e_1.tar.bz2”h0Œ@963040cdba36c03f577c8a8a171c212316bf6c1d45e9fc1c9c1d5bb1aa011cdb”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lpsolveapi >=5.5.2.0_1”Œr-roi >=0.3_0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑLÉÕÂhEMóÿhFˆubh)”}”(hŒr-intergraph”h#Œ2.0_2”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ+r-intergraph-2.0_2-r41hc72bb7e_1003.tar.bz2”h+Œ 459e476cb0e61758ca5e475538d7ec5a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-intergraph-2.0_2-r41hc72bb7e_1003.tar.bz2”h0Œ@b376867ed6e54640fc666c035724059932c3643b749af141058a00f37bc6918e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-igraph >=0.6_0”Œr-network >=1.4_1_1”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ£!XhEJxC hFˆubh)”}”(hŒmkdocs-git-revision-date-plugin”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:mkdocs-git-revision-date-plugin-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ ce92db0b6a89612954cac35de4280781”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mkdocs-git-revision-date-plugin-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c67d08e1de19207357f5ae0c06482e41ccd53c3d4abb452c9c5370f0dc8f94ad”h2NhNh3(Œ	gitpython”Œjinja2”Œmkdocs >=0.17”Œpython >=3.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ…ågûçhEM‰hFˆubh)”}”(hŒr-nmi”h#Œ2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-nmi-2.0-r41hc72bb7e_0.tar.bz2”h+Œ 13c6a02151e62ce317e9e3e34db6beb7”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-nmi-2.0-r41hc72bb7e_0.tar.bz2”h0Œ@6e14b9ab50ac43023ba437c24b7f91bcc8f4413ae59136044b1f7ba447df6f33”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ.ã‚VhEMiYhFˆubh)”}”(hŒ
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Apache-2.0”hBŒAPACHE”hDGAØÍµöÈ´hEMbªhFˆubh)”}”(hŒp11-kit-trust-cos7-aarch64”h#Œ0.23.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7p11-kit-trust-cos7-aarch64-0.23.5-h9b0a68f_1105.tar.bz2”h+Œ 6c768a5a6523c1acc51032b8f45b0c15”h.Œehttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-aarch64-0.23.5-h9b0a68f_1105.tar.bz2”h0Œ@3561dae2c3336a327d4cae1c46dbbfc56cc25e013a3a86f1a4d9fee66caad362”h2NhNh3Œ$p11-kit-cos7-aarch64 ==0.23.5 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGAØ@‹vÜÌÍhEJ_ hFˆubh)”}”(hŒr-config”h#Œ0.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-config-0.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 36a0c55f25c28b96512cdd9e09b14cb4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-config-0.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@76ab409700497a151cd7826118deea8a076742f7ed733808d8e64a8188982703”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-yaml >=2.1.13”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐ}ì§;dhEJò~ hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-ppc64le”h#Œ1.20.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ?xorg-x11-server-common-cos7-ppc64le-1.20.4-h9d98e8f_104.tar.bz2”h+Œ c55d761b5ad0906dc0062632b6e2238a”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-ppc64le-1.20.4-h9d98e8f_104.tar.bz2”h0Œ@7ef5a9eedb09e9a25439b33150505cda2fb26b24b8edc86173d7cbe2a5f86af6”h2NhNh3Œ"pixman-cos7-ppc64le >=0.30.0 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Ézh±G®hEMù„hFˆubh)”}”(hŒtorchmetrics”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'torchmetrics-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7cae48c4df90305430fe83cb9087fa98”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/torchmetrics-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@29a8abde0cb9a11265993bb3512d63129020520afdc9299e5296c296ea4fbcd3”h2NhNh3(Œ	packaging”Œpython >=3.6”Œpytorch >=1.3”Œ
setuptools”Œtqdm >=4.41.0”t”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×L€I¾5?hEM`hFˆubh)”}”(hŒlibxkbcommon-cos7-aarch64”h#Œ0.7.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libxkbcommon-cos7-aarch64-0.7.1-h9b0a68f_1105.tar.bz2”h+Œ 2848d7fd50048f7e7b6b3548497e41af”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-cos7-aarch64-0.7.1-h9b0a68f_1105.tar.bz2”h0Œ@75addf6accfbd3ffb747d8e897038fb6e2e2b83ba0c4258fb00ac94d50719dc4”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ˆn=ãThEJç hFˆubh)”}”(hŒ
r-sparsepp”h#Œ1.22”h%Œr36_2002”h'MÒhhh(h)hŒ r-sparsepp-1.22-r36_2002.tar.bz2”h+Œ 8ba32b42d3464fdde3ab5fbc4b5b0164”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepp-1.22-r36_2002.tar.bz2”h0Œ@806f89f283a5426840ea5b37bdd2576e4d7ba6be977fc0deaddb81c5a8d508fa”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×L0hlzáhEJÖÐ hFˆubh)”}”(hŒ
clickclick”h#Œ1.2.2”h%Œpy_1”h'Khhh(h)hŒclickclick-1.2.2-py_1.tar.bz2”h+Œ ece0284294ce32d8008b1c12e84c3948”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/clickclick-1.2.2-py_1.tar.bz2”h0Œ@9e476440ea2f5c5bf450a7598e09528eeab78818ada8c9274ddbfbf2dd6e3659”h2NhNh3Œclick >=4.0”Œpython”Œpyyaml >=3.11”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÖÑ-¯PhEMƒ"hFˆubh)”}”(hŒlibdrm-cos6-x86_64”h#Œ2.4.65”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libdrm-cos6-x86_64-2.4.65-h9b0a68f_1105.tar.bz2”h+Œ f00f5e13f771e4e973b60860e6650186”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos6-x86_64-2.4.65-h9b0a68f_1105.tar.bz2”h0Œ@cb560fe03609a58a04157ba6eee7cb26c1e34a955de5a1c2e54b037be3a48450”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@UÈ?}hEJÀ hFˆubh)”}”(hŒr-rwekajars”h#Œ3.9.3_2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-rwekajars-3.9.3_2-r40h6115d3f_1.tar.bz2”h+Œ 43e232328a76ff16252ea4deab10292d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rwekajars-3.9.3_2-r40h6115d3f_1.tar.bz2”h0Œ@93a8b140e96c3f25552917eb8589521e399a417f3312c9212513e69f5a511ab3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjava >=0.6_3”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×À÷CmÒòhEJ I› hFˆubh)”}”(hŒreference-handler”h#Œ0.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,reference-handler-0.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 49e35895fe7bad2aad9662e5b7d625c2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/reference-handler-0.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e9bd300433a57c1a7fcb8185960b99c33d00cd36aa0bdfb7b1333de4c4c20966”h2NhNh3Œbibtexparser”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ'ã@PhEMëohFˆubh)”}”(hŒr-gsubfn”h#Œ0.7”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ&r-gsubfn-0.7-r351h6115d3f_1000.tar.bz2”h+Œ d37c9a1554d7f373f2340fb8befb012a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gsubfn-0.7-r351h6115d3f_1000.tar.bz2”h0Œ@0ab5d1e6bc17efeab63d06e87e67f2aea5744e97c69392a986a0e3f0b0ea6c8b”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-proto”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖüýô–VhEJÄƒ hFˆubh)”}”(hŒjina”h#Œ3.7.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒjina-3.7.7-pyhd8ed1ab_0.tar.bz2”h+Œ 3de8939ad06605c46e0a0a45aeebb417”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/jina-3.7.7-pyhd8ed1ab_0.tar.bz2”h0Œ@7ef695f6ffa0d0e9446943ff1169dac13ddb2cb28270579e5a9f3cd5ac024b71”h2NhNh3(Œ__unix”Œaiofiles”Œaiohttp”Œ	aiostream”Œcryptography”Œdocarray >=0.13.14”Œ	docker-py”Œfastapi >=0.76.0”Œfilelock”Œgrpcio >=1.46.0”Œgrpcio-health-checking >=1.46.0”Œgrpcio-reflection >=1.46.0”Œnumpy”Œpackaging >=20.0”Œpathspec”Œprometheus_client”Œprotobuf >=3.19.1,<=3.20.1”Œpydantic”Œpython >=3.7”Œpython-multipart”Œpyyaml >=5.3.1”Œrequests”Œuvicorn”Œuvloop”Œ
websockets”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¾ÁB÷l‹hEJËì hFˆubh)”}”(hŒdjango”h#Œ3.1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!django-3.1.8-pyhd8ed1ab_0.tar.bz2”h+Œ d8b94983aea5bc5b774ad8ef65cbe3b4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/django-3.1.8-pyhd8ed1ab_0.tar.bz2”h0Œ@c27ea40a57da29e361758da0e9c5d397c16b1e2981a716bcd4355b926506f7bd”h2NhNh3(Œasgiref >=3.2.10,<3.4”Œpython >=3.6”Œpytz”Œsqlparse >=0.2.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ
òâ-hEJ†Ñ; hFˆubh)”}”(hŒdash-html-components”h#Œ2.0.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ/dash-html-components-2.0.0-pyhd8ed1ab_1.tar.bz2”h+Œ fe8cbd1e1d43f1483edfd978e76c893e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/dash-html-components-2.0.0-pyhd8ed1ab_1.tar.bz2”h0Œ@91b9c14c38b005fa675656479569bfb9389e3d5704d68865ba74c8fc309e06dc”h2NhNh3Œdash >=2.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØƒËÄ”¬hEMâhFˆubh)”}”(hŒpydeck”h#Œ0.8.0b4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pydeck-0.8.0b4-pyhd8ed1ab_0.tar.bz2”h+Œ de07e17f8dc8f1c3469f7961b9c81f81”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pydeck-0.8.0b4-pyhd8ed1ab_0.tar.bz2”h0Œ@342baa247809d28ffbdfed02c7aeadc1d866f6874dcad5373790d96eed5ca426”h2NhNh3(Œ	ipykernel”Œ
ipywidgets”Œjinja2”Œnumpy >=1.23.4,<2.0a0”Œpython >=3.7”Œ	traitlets”t”h9h?h@Œ
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pre-commit”Œpyamg”Œpygeos >=0.8”Œpytest”Œ
pytest-cov”Œpytest-xdist”Œpython >=3.8”Œshapely >=1.7.1”Œ	spaghetti”Œ
versioneer”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ{r!EVhEMÊôhFˆubh)”}”(hŒpython-clingox”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)python-clingox-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ a946d499cb75f8990518a6b58a6643d7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python-clingox-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6d82b803db6da0407339975c0b6cbf273ff4ddcacc327a986f14fdaa43c1e458”h2NhNh3Œclingo >=5.5.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØË®ýhEMªvhFˆubh)”}”(hŒ	titlecase”h#Œ2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"titlecase-2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 75ab69d4d2cd650e3e5e44ab8f7a62e0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/titlecase-2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@81d7d792082cd3eda571ffc407071cc1e51f6a3acd052e6ea8940f3825d8a1fd”h2NhNh3Œpython >=3.4”…”h6Œregex >=2020.4.4”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ7¡{E¢hEM8hFˆubh)”}”(hŒelement-recognition”h#Œ1.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.element-recognition-1.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 343a5c5fb5d4e69fdf6a9345d8e5f58a”h.Œ\https://conda.anaconda.org/conda-forge/noarch/element-recognition-1.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@343850070a4c25035fd9164968ae85074195fcdcf2b246882097739209330145”h2NhNh3Œnumpy”Œpandas”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ¢è‘ØƒhEM˜/hFˆubh)”}”(hŒ	r-mratios”h#Œ1.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-mratios-1.4.2-r41hc72bb7e_0.tar.bz2”h+Œ 294c70cdf733d05e8ebd75cc32bd0330”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mratios-1.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@1d7a9ed7066a7082a13a48d29006849b233aa436d96ee71b550c0510293fca98”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-multcomp”Œ	r-mvtnorm”Œ
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r-pheatmap”†”h9hºh@Œ
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r-deoptimr”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ…’u‘hhEJ&z hFˆubh)”}”(hŒbaycomp”h#Œ1.0.2”h%Œpy_0”h'K hhh(h)hŒbaycomp-1.0.2-py_0.tar.bz2”h+Œ 3ca974f3c35ead2b3a8d43a96510d9cd”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/baycomp-1.0.2-py_0.tar.bz2”h0Œ@17fada61810481ae544a8ac4143b01c82c15a446393249f8751ec24e23130044”h2NhNh3(Œ
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r-ggcharts”h#Œ0.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-ggcharts-0.2.1-r41hc72bb7e_1.tar.bz2”h+Œ f96c8a6ce756a8794a6e9523ee50b8cf”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggcharts-0.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@68d09a80f3a6074437fc2e6f1222c147251b897833ca723cd7fb2e8143b6d943”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
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r-jsonlite”Œr-parsedate”Œr-pillar”Œr-prettyunits”Œ
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r-rappdirs”Œr-rcmdcheck >=1.2.1”Œ	r-rematch”Œr-tibble”Œr-uuid”Œr-whoami”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÃí€ÿl‹hEJRœ hFˆubh)”}”(hŒr-calibrator”h#Œ1.2_8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-calibrator-1.2_8-r40hc72bb7e_0.tar.bz2”h+Œ 792c22c67b90bd584e9fdf158ed4d7ad”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-calibrator-1.2_8-r40hc72bb7e_0.tar.bz2”h0Œ@9383399897d2c8311aceac38a6087afdcaa9ad9e3ab5a4a6279ac1a1885a1d5f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-cubature”Œr-emulator >=1.2_11”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØŽÉ	Ët¼hEJ 
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Apache-2.0”hBŒAPACHE”hDGAØe’ùÒòhEMŽhFˆubh)”}”(hŒdjango-emailhub”h#Œ0.0.1”h%Œpy_1001”h'Méhhh(h)hŒ%django-emailhub-0.0.1-py_1001.tar.bz2”h+Œ 962481a9c36675f76bb6252c8183b078”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/django-emailhub-0.0.1-py_1001.tar.bz2”h0Œ@6d64d89087aed245918d3d12cbdf217a4a45f076fa3c25260a12cc6e28898394”h2NhNh3Œdjango >=1.8,<=1.11”Œpython <3.6”Œsix >=1.11.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×#nïžhEJn) hFˆubh)”}”(hŒgtkmm24-devel-cos6-x86_64”h#Œ2.18.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5gtkmm24-devel-cos6-x86_64-2.18.2-h9d98e8f_104.tar.bz2”h+Œ 8aa2ea19997d262425332940e298ce63”h.Œchttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos6-x86_64-2.18.2-h9d98e8f_104.tar.bz2”h0Œ@f4a7eaa01d7b41cf2fb2dc67f999a96715819c716a724e10733a8ac5c83752bd”h2NhNh3Œ"gtkmm24-cos6-x86_64 ==2.18.2 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É{@áë…hEJ¸n hFˆubh)”}”(hŒpypdb”h#Œ2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpypdb-2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 66991fab1f6993dc523d1593221f0b5b”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pypdb-2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1a26e567eb40ba74ba8e3714610e34887a01721c00e279138a1cd4784532a41c”h2NhNh3Œpython >=3.6”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ´ýãThEMÛvhFˆubh)”}”(hŒr-eigenmodel”h#Œ1.11”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-eigenmodel-1.11-r41hc72bb7e_1.tar.bz2”h+Œ 2700d40764991c7e510cc29581ad3c17”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-eigenmodel-1.11-r41hc72bb7e_1.tar.bz2”h0Œ@719a14ed3783b316636cdd554d5b5b819665098d798f8546b41fd117b0f5c252”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐþ\‹"ÑhEJ¦N hFˆubh)”}”(hŒr-daff”h#Œ0.3.5”h%Œr40h6115d3f_2”h'Khhh(h)hŒ"r-daff-0.3.5-r40h6115d3f_2.tar.bz2”h+Œ 92cb9660c63e4e31a1079264531943e8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-daff-0.3.5-r40h6115d3f_2.tar.bz2”h0Œ@1c667e3efa6c50a4e429c9c2e1def0c14b3f7d664846a4a48823acb58b2fb44f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬æLÙÊÁhEJŽq hFˆubh)”}”(hŒlabjack”h#Œ20150526”h%Œpy_1000”h'Mèhhh(h)hŒ labjack-20150526-py_1000.tar.bz2”h+Œ 2ac4e3ce887fa86ff0e090f367e2aae4”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/labjack-20150526-py_1000.tar.bz2”h0Œ@3b997c172df84424798343dc3c50c2c638ee365cf7f50feb8f70ecd28a44ff7e”h2NhNh3Œ	python <3”…”h9h?h@ŒMIT X-11”hBŒMIT”hDGAÖêfÜ‹DhEJQN hFˆubh)”}”(hŒraven-aiohttp”h#Œ0.7.0”h%Œpyhd8ed1ab_1003”h'Mëhhh(h)hŒ+raven-aiohttp-0.7.0-pyhd8ed1ab_1003.tar.bz2”h+Œ b88d6cf1b8a0b153ee921b6ca2810ded”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/raven-aiohttp-0.7.0-pyhd8ed1ab_1003.tar.bz2”h0Œ@aca1401ad7bf87b015f876da522c1bbfe33c0532c28ba9ba40319282da00bbd3”h2NhNh3Œaiohttp >=2.0”Œpython >=3.6”Œraven >=5.4.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØbÈEI™šhEMË$hFˆubh)”}”(hŒftputil”h#Œ5.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"ftputil-5.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 83ae47fd5bd9306281db44d85d5813a5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ftputil-5.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@a40f17f390d83d3ab1fc59ebaa7feeefce7b9680170296489978d614af42ca38”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŸÈJáHhEM¯§hFˆubh)”}”(hŒr-mpm”h#Œ1.0_23”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-mpm-1.0_23-r40hc72bb7e_0.tar.bz2”h+Œ 9d37e5c19a0ccd9ef6eb52dcc64eaf41”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mpm-1.0_23-r40hc72bb7e_0.tar.bz2”h0Œ@187869576a5306aa7fc19c2f04e90492a5808d108558c5a9e0c43628b5b04a57”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-kernsmooth”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ‘Î*MÓhEJ2®	 hFˆubh)”}”(hŒ
sentry-sdk”h#Œ0.20.3”h%Œpyh44b312d_0”h'K hhh(h)hŒ&sentry-sdk-0.20.3-pyh44b312d_0.tar.bz2”h+Œ eb078f182e4ee97db1ed1983fbf1c326”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/sentry-sdk-0.20.3-pyh44b312d_0.tar.bz2”h0Œ@f5f4c76515d9aa798462639d7aa64544429400240eaba92ef192b93315cef8b5”h2NhNh3Œcertifi”Œpython”Œurllib3 >=1.10”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¥¢µ?}hEJöC hFˆubh)”}”(hŒpyrender”h#Œ0.1.45”h%Œpyh8a188c0_1”h'Khhh(h)hŒ$pyrender-0.1.45-pyh8a188c0_1.tar.bz2”h+Œ 79b8fed561593d88c361aa10534b6d8d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyrender-0.1.45-pyh8a188c0_1.tar.bz2”h0Œ@7211999c852dee3443a1656358d2655c6582f311278b9aca90bfe6bf714ff629”h2NhNh3(Œfreetype-py”Œimageio”Œnetworkx”Œnumpy”Œpillow”Œpyglet >=1.4.10”Œpyopengl 3.1.0”Œpython >=3.6”Œscipy”Œsix”Œtrimesh”t”h9h?h@ŒMIT”hBŒMIT”hDGAØjãO,ýôhEJu•&hFˆubh)”}”(hŒ	r-rmtstat”h#Œ0.3.1”h%Œr41ha770c72_0”h'K hhh(h)hŒ%r-rmtstat-0.3.1-r41ha770c72_0.tar.bz2”h+Œ ac207a5fcd9cc4087a5cf7864d61ffe6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rmtstat-0.3.1-r41ha770c72_0.tar.bz2”h0Œ@f079ed51fb389021c155b3418d513db2a9e888ccce80e5696b05908e379170d2”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ–A™&ùÛhEJ*ë hFˆubh)”}”(hŒredpil”h#Œ0.0.5”h%Œpy_0”h'K hhh(h)hŒredpil-0.0.5-py_0.tar.bz2”h+Œ 9f4c41fa42c4f016daf2296352d5fd4a”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/redpil-0.0.5-py_0.tar.bz2”h0Œ@6f80294409b8632a9270e1d079d1b70382facbd555895cc92f80ecd9b076a441”h2NhNh3Œnumpy”Œ
python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGA×JàšD“hEMŒ5hFˆubh)”}”(hŒr-kpmt”h#Œ0.1.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ%r-kpmt-0.1.0-r36h6115d3f_1002.tar.bz2”h+Œ 9b2e88b6edd78e57dedffdae4c398bd8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kpmt-0.1.0-r36h6115d3f_1002.tar.bz2”h0Œ@05c8d3bf7361abaf3e6c14ffbec0a9aef35e66e9f711d1c764d920784b4a78bf”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-matrixstats”†”h9hºh@ŒMIT”hBŒMIT”hDGA×\ðs¶FhEJK hFˆubh)”}”(hŒ,dtool_lookup_server_annotation_filter_plugin”h#Œ0.2.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒGdtool_lookup_server_annotation_filter_plugin-0.2.1-pyhd8ed1ab_1.tar.bz2”h+Œ 6b15c24826b9fab8f2aef27eac367d83”h.Œuhttps://conda.anaconda.org/conda-forge/noarch/dtool_lookup_server_annotation_filter_plugin-0.2.1-pyhd8ed1ab_1.tar.bz2”h0Œ@420d167726a40cdf973b9c5f117bbe2c2027610b1895cbfb7c465a3be414375e”h2NhNh3Œdtool_lookup_server >=0.17.2”Œdtoolcore >=3.17.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØM•o¨  hEM5+hFˆubh)”}”(hŒlibidl-cos6-x86_64”h#Œ0.8.13”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.libidl-cos6-x86_64-0.8.13-h9d98e8f_104.tar.bz2”h+Œ 8a7bccf237890c4fd023317e2237e2d5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libidl-cos6-x86_64-0.8.13-h9d98e8f_104.tar.bz2”h0Œ@1f530f05c1d67454625d8ae1ef815e648729a85c5ffcfdff2d8e617a6dd022cd”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉyÒ•¸hEJÒu hFˆubh)”}”(hŒserializable”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'serializable-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ f33f7894587e279fcdb406ba172858f5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/serializable-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a8f10f08335010d55df3d480ac4f866da496e35b94118fb204dd30b22c24e717”h2NhNh3(Œpython >=3.6”Œ
simplejson”Œsix >=1.9.0”Œtypechecks >=0.0.2”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ­Óš«dZhEMn>hFˆubh)”}”(hŒ
r-ggcharts”h#Œ0.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-ggcharts-0.2.1-r40hc72bb7e_0.tar.bz2”h+Œ 0f302a0e4fe8d9ad99fe5342552ada5c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggcharts-0.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@84b68ab55c418f3034d0a30c8d444ecd8e1a1c164251f749ab012d7c64271314”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-patchwork”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+À¬¢Ÿ¾hEJÃF hFˆubh)”}”(hŒ	r-nortest”h#Œ1.0_4”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ(r-nortest-1.0_4-r40h6115d3f_1003.tar.bz2”h+Œ b54cb96865e0fd37f2e759b6cc367634”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-nortest-1.0_4-r40h6115d3f_1003.tar.bz2”h0Œ@a338161ca9a52e2ed3af4293bd5b5a70226635b93407202eb08b9913601b206e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«ÎÆ£×hEMèÓhFˆubh)”}”(hŒlibidl-cos7-aarch64”h#Œ0.8.14”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/libidl-cos7-aarch64-0.8.14-hdf0574f_102.tar.bz2”h+Œ 7deea000cdea0cf695596491e6874388”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libidl-cos7-aarch64-0.8.14-hdf0574f_102.tar.bz2”h0Œ@5099aac92b07d4ee1cfd070ce75014e394213c997a54e91a7b028075c55e0d2b”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi@¥ÒòhEJOs hFˆubh)”}”(hŒ
r-contrast”h#Œ0.24.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-contrast-0.24.2-r41hc72bb7e_0.tar.bz2”h+Œ 18655810f21c4e632a7aa25a57d412ef”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-contrast-0.24.2-r41hc72bb7e_0.tar.bz2”h0Œ@db9987f86f271bb82be650c63c0bc781655c70b81919c1f95dc6b7512580c9e3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-nlme”Œr-rms”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÏ},¨1'hEJh~ hFˆubh)”}”(hŒconfigargparse”h#Œ1.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)configargparse-1.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ 318b72c3c2dfca9aebdbaf258609d02d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/configargparse-1.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@b1707cd0e57923dbe021884e7d5773bab137e56efc588e54fe80f91e85ddd4b8”h2NhNh3Œpython >=2.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØVÅ)¬1hEM	hFˆubh)”}”(hŒgoogleapis-common-protos”h#Œ1.5.3”h%Œpy_1”h'Khhh(h)hŒ+googleapis-common-protos-1.5.3-py_1.tar.bz2”h+Œ 044640557a34c5ac6455cbb1b362353d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.5.3-py_1.tar.bz2”h0Œ@455406f1012ecd8f2b03dd2a61695e92c3232f5acedf6e78512340ebe346a4c6”h2NhNh3Œprotobuf >=3.0.0”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÖÎõ¹”ÌÍhEMÏmhFˆubh)”}”(hŒlibselinux-cos7-aarch64”h#Œ2.5”h%Œha826a6f_103”h'Kghhh(h)hŒ0libselinux-cos7-aarch64-2.5-ha826a6f_103.tar.bz2”h+Œ 3d9fe6004ece4165bddce029f8b47d36”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-aarch64-2.5-ha826a6f_103.tar.bz2”h0Œ@7d95c60d9879b448e57b1eedd5f7d6a19cc87067365d3ddb0be41fb1286938c8”h2NhNh3Œ!libsepol-cos7-aarch64 >=2.5 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Æ0/ hEJ¼„ hFˆubh)”}”(hŒlibuuid-cos7-aarch64”h#Œ2.23.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libuuid-cos7-aarch64-2.23.2-h9b0a68f_105.tar.bz2”h+Œ 459a62ebbf404a1c038f90fc9c1e9671”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-aarch64-2.23.2-h9b0a68f_105.tar.bz2”h0Œ@84f9b69bf94235d8574cd7a1d4cfb7b23c2e815ea31a80ed4b14267f3970df79”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@Wn…hEM;hFˆubh)”}”(hŒpyfolio”h#Œ0.8.0”h%Œpy_1”h'Khhh(h)hŒpyfolio-0.8.0-py_1.tar.bz2”h+Œ 05255f08d0c98fb6c422ec3b1f7b7a74”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pyfolio-0.8.0-py_1.tar.bz2”h0Œ@0770bf3d4393b8c17e6cd17d56727e34132846d3b0084d2aeb4cd0728aeb12ee”h2NhNh3(Œempyrical >=0.3.2”Œipython >=3.2.3”Œmatplotlib-base >=1.4.0”Œnumpy >=1.9.1”Œpandas >=0.19.0”Œpandas-datareader >=0.2”Œpymc3 >=3.1”Œpython”Œpytz >=2014.10”Œscikit-learn >=0.18.2”Œscipy >=0.14.0”Œseaborn >=0.7.1”t”h9h?h@Œ
Apache 2.0”hBŒApache”hDGA×¯ý	lÝ/hEM_ühFˆubh)”}”(hŒlibibumad-cos7-aarch64”h#Œ22.4”h%Œha826a6f_103”h'Kghhh(h)hŒ0libibumad-cos7-aarch64-22.4-ha826a6f_103.tar.bz2”h+Œ a6d7295771a96512b2bce62e1232976e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-aarch64-22.4-ha826a6f_103.tar.bz2”h0Œ@b110d19a307c997aa85916e0483c35ea192063eb258cabce8212a15190b37240”h2NhNh3Œ#rdma-core-cos7-aarch64 ==22.4 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,¶´“hEMâzhFˆubh)”}”(hŒoslash”h#Œ0.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!oslash-0.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ f05c2a2993116889ca1ed84bb0f62fd4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/oslash-0.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@ccbfaa332163ac3224555b378db5c213d1d5a6f30ebb6e5e46c2e052274d6f6f”h2NhNh3Œpython >=3.8”Œtyping-extensions”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ´MãÖvÉhEM÷^hFˆubh)”}”(hŒlibibverbs-devel-cos6-x86_64”h#Œ1.1.8”h%Œ
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nltk >=3.2”Œnumpy >=1.10.0”Œpandas >=0.19.0”Œpython”Œrequests >=2.10”Œscikit-learn >=0.18.1”Œscipy >=0.17.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÎPy‰7hEJ;Ï hFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-aarch64”h#Œ1.2.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<libxscrnsaver-devel-cos7-aarch64-1.2.2-h9b0a68f_1105.tar.bz2”h+Œ 01dd449ce15b257ba00fc1c4fb15e487”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-aarch64-1.2.2-h9b0a68f_1105.tar.bz2”h0Œ@47f9018fbb1d32baf17184332991c97654d05bf1ccc3f05dc245e90594b6dcae”h2NhNh3Œ)libxscrnsaver-cos7-aarch64 ==1.2.2 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‹u¥ÂhEM·6hFˆubh)”}”(hŒr-variancegamma”h#Œ0.4_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-variancegamma-0.4_0-r40hc72bb7e_0.tar.bz2”h+Œ 698a9643c18a66e271ba9c67ad3b3a4b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-variancegamma-0.4_0-r40hc72bb7e_0.tar.bz2”h0Œ@9fa4c771987a1acd5710b98a88a507d51728c7070a4350cf5c8f6a9d8796ae9b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-distributionutils”Œr-generalizedhyperbolic”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØzKTšŸ¾hEJa hFˆubh)”}”(hŒ	r-modeest”h#Œ2.4.0”h%Œr36_0”h'K hhh(h)hŒr-modeest-2.4.0-r36_0.tar.bz2”h+Œ b7b171153b76b63a8246c6e982b7bb19”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-modeest-2.4.0-r36_0.tar.bz2”h0Œ@277762751c77fcdc496655a9c5630a66fde7839bfc2cdf76b399b5ff2437c7b7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-fbasics”Œr-stable”Œr-stabledist”Œr-statip >=0.2.3”t”h9hºh@ŒGPL-3”hBŒGPL-3”hDGA×t´Î5?hEJT| hFˆubh)”}”(hŒ
r-textstem”h#Œ0.1.4”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-textstem-0.1.4-r36h6115d3f_1.tar.bz2”h+Œ 6d3b6872c606d13cdce3300f8912c6c5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-textstem-0.1.4-r36h6115d3f_1.tar.bz2”h0Œ@ebf4356b0fa6b9b6f0ba39ee37ccfae293dd4b24efb8219563ec39ead186a164”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œ
r-hunspell”Œr-korpus”Œr-korpus.lang.en”Œr-lexicon >=0.4.1”Œr-quanteda >=0.99.12”Œr-snowballc”Œ	r-stringi”Œr-textclean”Œr-textshape”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬“_!7LhEJ­/ hFˆubh)”}”(hŒ
r-ggridges”h#Œ0.5.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggridges-0.5.4-r41hc72bb7e_0.tar.bz2”h+Œ e378cad76a9f4868b5b6554460b58c15”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggridges-0.5.4-r41hc72bb7e_0.tar.bz2”h0Œ@5c45fe469fe23064d33891440f5e331b71a34e538b98391a85c5befc1e7251a2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-plyr >=1.8.0”Œr-scales >=0.4.1”Œr-withr >=2.1.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÌa!‚°!hEJ³" hFˆubh)”}”(hŒr-tframe”h#Œ2015.12_1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-tframe-2015.12_1.1-r40hc72bb7e_0.tar.bz2”h+Œ 7892fa236ff2c019156cdec401e4ca0e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-tframe-2015.12_1.1-r40hc72bb7e_0.tar.bz2”h0Œ@ec917e3e905d1c5b707cbc3f9749221346a5e572bf214528cc8826b0d25cc3d4”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ’ÄW3çmhEJN hFˆubh)”}”(hŒcairo-cos6-x86_64”h#Œ1.8.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ,cairo-cos6-x86_64-1.8.8-h9b0a68f_105.tar.bz2”h+Œ 5bbd522facffeb9f0e29449e89de5a99”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/cairo-cos6-x86_64-1.8.8-h9b0a68f_105.tar.bz2”h0Œ@fe5e4eccea2b3afba40ca91bca8e3b4b1188985264a3f55bf2aae4864f2d7c73”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGAØ@VôÔ(öhEJ¼Þ hFˆubh)”}”(hŒqrtools”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"qrtools-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ f17bd79d998fed65641753b4b342a127”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/qrtools-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c5c72b726d9383eaaba7097e8e5b17a56bd604646f68a48d08e24f899e1b4796”h2NhNh3(Œpillow”Œpypng”Œpython >=3.6”Œzbar”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ%£Îc¥ãhEMqmhFˆubh)”}”(hŒhighlight_text”h#Œ0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'highlight_text-0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 00b0f59445b81cb3eb65927c07566e20”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/highlight_text-0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@fe2c6b98882c6a994164e5c35641ca5473fef09d98949ef516a5f5cedf7f88aa”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÊ†‰0´9hEMa8hFˆubh)”}”(hŒkernel-headers-cos7-aarch64”h#Œ4.18.0”h%Œha826a6f_103”h'Kghhh(h)hŒ7kernel-headers-cos7-aarch64-4.18.0-ha826a6f_103.tar.bz2”h+Œ cfa72dec96a0847c470abba9b9296aec”h.Œehttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos7-aarch64-4.18.0-ha826a6f_103.tar.bz2”h0Œ@654d4ff160c573ae22bca230749c74a9869d927f1c4393638a891d25b711a724”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œ4GPLv2 and Redistributable, no modification permitted”hBŒGPL2”hDGA×Æ/VùÛhEJˆ9 hFˆubh)”}”(hŒr-scrime”h#Œ1.3.5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-scrime-1.3.5-r42hc72bb7e_2.tar.bz2”h+Œ 1ca3726b16c5adb9616f20c84c3d5161”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-scrime-1.3.5-r42hc72bb7e_2.tar.bz2”h0Œ@85801fb0d1bf93f34659ec09d8e8df424779e194b81e834bba1e836f4cc2f24b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒe³Æ¨hEJl1 hFˆubh)”}”(hŒnumericalunits”h#Œ1.23”h%Œpy_0”h'K hhh(h)hŒ numericalunits-1.23-py_0.tar.bz2”h+Œ 7c72253dd6cf8c216c25cd10933d176d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/numericalunits-1.23-py_0.tar.bz2”h0Œ@590648d314be1e72843f6411dbb4f1c86ce2daca334cc2998126cb5a1342fb7e”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×rf¿ÀQìhEMÇ9hFˆubh)”}”(hŒr-smoothwin”h#Œ3.0.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-smoothwin-3.0.0-r42hc72bb7e_2.tar.bz2”h+Œ 498b102359ac28c9cd92d5c1b54faf75”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-smoothwin-3.0.0-r42hc72bb7e_2.tar.bz2”h0Œ@f29f980d27269978c6175037895e5b4a2ade3baa75367e0218fd05fd9746e02f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-nlme”Œr-rfast”‡”h9hºh@ŒLGPL-2”hBŒLGPL”hDGAØÒ)<¬hEJ^# hFˆubh)”}”(hŒnapari”h#Œ0.4.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"napari-0.4.12-pyhd8ed1ab_0.tar.bz2”h+Œ bab47e40d7249a02b891dce2702831ce”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/napari-0.4.12-pyhd8ed1ab_0.tar.bz2”h0Œ@60eb065c65a434c032dd42c970dd099e1a5133b4bd69a177036cf19ad8f085f5”h2NhNh3(Œappdirs >=1.4.4”Œcachey >=0.2.1”Œcertifi >=2020.6.20”Œdask >=2.15.0”Œfsspec”Œimageio >=2.5.0”Œimportlib-metadata >=1.5.0”Œjsonschema >=3.2.0”Œmagicgui >=0.3.0”Œnapari-console >=0.0.4”Œnapari-plugin-engine >=0.1.9”Œnapari-svg >=0.1.4”Œnumpy >=1.18.5”Œnumpydoc >=0.9.2”Œpillow !=7.1.0,!=7.1.1”Œpint >=0.17”Œpsutil >=5.0”Œpydantic >=1.8.1”Œpyopengl >=3.1.0”Œpyqt”Œpython >=3.7,<3.11.0a0”Œpyyaml >=5.1”Œqtpy >=1.7.0”Œscikit-image”Œscipy >=1.2.0”Œsuperqt >=0.2.2”Œtifffile >=2020.2.16”Œtoolz >=0.10.0”Œtqdm >=4.56.0”Œtyping_extensions”Œvispy >=0.6.4,<0.10”Œwrapt >=1.11.1”Œzarr”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ\}O
=hEJ{( hFˆubh)”}”(hŒgeonum”h#Œ1.4.5”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ!geonum-1.4.5-pyhd8ed1ab_2.tar.bz2”h+Œ 59f8a69ca108152d0e3232b4ef96ae9e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/geonum-1.4.5-pyhd8ed1ab_2.tar.bz2”h0Œ@edc1a5792652e95b6a66924f4d1c49f678f18c100ccd9e381fdddcb9455d5ad3”h2NhNh3(Œlatlon23”Œpython >=3.6”Œscipy”Œ
setuptools”Œsrtm.py”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGAØ¦r.{hEM´öhFˆubh)”}”(hŒ	r-simcomp”h#Œ3.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-simcomp-3.3-r41hc72bb7e_2.tar.bz2”h+Œ 29da1d51ef6d0c7f8df848cb73eedab4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-simcomp-3.3-r41hc72bb7e_2.tar.bz2”h0Œ@a7978946d9b360c249d9393d191cd3a1dc0f48342626b62622936a00ea9a9b02”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-mratios”Œ
r-multcomp”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ›‡ÿ¾whEJ“$ hFˆubh)”}”(hŒsugartex”h#Œ0.1.16”h%Œpy_0”h'K hhh(h)hŒsugartex-0.1.16-py_0.tar.bz2”h+Œ 1117e0043816a1b3e8e4a33081a3772c”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sugartex-0.1.16-py_0.tar.bz2”h0Œ@ff13549f700bf6d8adc702f75a2591f1fa391d34937fd69eeac4e1b70e0e447f”h2NhNh3Œpanflute >=1.11.2”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ªˆÁhshEMýEhFˆubh)”}”(hŒr-clustcurv”h#Œ2.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-clustcurv-2.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 82bad5bc3a5fcb3139f0fa125c0b0bc1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-clustcurv-2.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@ce74816b2e44f005cac3617fd537303de69c7c2722c2643a04044714cb0346e3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œr-dorng”Œ	r-foreach”Œr-ggfortify”Œ	r-ggplot2”Œ	r-gmedian”Œr-npregfast”Œr-rcolorbrewer”Œ
r-survival”t”h9hºh@ŒMIT”hBŒMIT”hDGAØcç¤r°!hEJq hFˆubh)”}”(hŒr-shinydashboardplus”h#Œ2.0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ0r-shinydashboardplus-2.0.3-r40hc72bb7e_0.tar.bz2”h+Œ 9b5aa12f9d0139d56edf72a7c49a76cb”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-shinydashboardplus-2.0.3-r40hc72bb7e_0.tar.bz2”h0Œ@e494ea540e7b8de13acd8e69c00642ebd067738793d2cda9e88f23049fb445de”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-fresh”Œr-htmltools”Œr-lifecycle”Œr-shiny”Œr-shinydashboard”Œr-waiter”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØPªîà  hEJ·• hFˆubh)”}”(hŒoptuna”h#Œ2.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!optuna-2.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 01446d5469b09e9a84cf8a61a2b8a14a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/optuna-2.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a01955c35587d2b87479dc96e7d8533f11e12fa86dbc43938a04530438b66eaa”h2NhNh3(Œalembic”Œcliff”Œcmaes >=0.8.2”Œcolorlog”Œnumpy”Œpackaging >=20.0”Œpython >=3.6”Œpyyaml”Œscipy !=1.4.0”Œsqlalchemy >=1.1.0”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØBèB’\hEJ–Ã hFˆubh)”}”(hŒr-shinythemes”h#Œ1.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-shinythemes-1.2.0-r41hc72bb7e_0.tar.bz2”h+Œ d270143e1d7d1f3acc310065183bdb7e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinythemes-1.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@82253b5174efc4ca48a21b22bb585c414c47b4cb56b2d5001452f37440b19f86”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-shiny >=0.11”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+Rlô›¦hEJ% hFˆubh)”}”(hŒ$_sysroot_linux-64_curr_repodata_hack”h#hÔh%Œha9d2b57_13”h'Khhh(h)hŒ:_sysroot_linux-64_curr_repodata_hack-4-ha9d2b57_13.tar.bz2”h+Œ bfaa9419eb45d8211bc550b31929a402”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-4-ha9d2b57_13.tar.bz2”h0Œ@d79f23c31dca075ca90d8527919db05f55c81f19b2fccc6ebe6a15fc5cfeab63”h2NhNh3Œ kernel-headers_linux-64 2.6.32.*”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGA×Éc‚PhEMÇ2hFˆubh)”}”(hŒr-label.switching”h#Œ1.8”h%Œr36h6115d3f_0”h'K hhh(h)hŒ+r-label.switching-1.8-r36h6115d3f_0.tar.bz2”h+Œ 7026801d7de9383fa769a5a139fabcdf”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-label.switching-1.8-r36h6115d3f_0.tar.bz2”h0Œ@03e83fb76c84b07bf1a865dfa220f198a0e9256f87ddc39aa5b699837a828d33”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÆÇ»dZhEMõhFˆubh)”}”(hŒnss-softokn-cos7-aarch64”h#Œ3.44.0”h%Œ
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hd4c1694_0”h'K hhh(h)hŒ1rb-coffee-script-source-1.12.2-hd4c1694_0.tar.bz2”h+Œ f5f30417f32d3f311f4382034b53c035”h.Œ_https://conda.anaconda.org/conda-forge/noarch/rb-coffee-script-source-1.12.2-hd4c1694_0.tar.bz2”h0Œ@ddb658e73dd60598eba861d1513a0228448bbcc3fbb619c87872d8624fb48b41”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@•      ŒMIT”hBŒMIT”hDGA×[\ê%OßhEJVÝ hFˆubh)”}”(hŒlibxinerama-cos7-ppc64le”h#Œ1.1.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libxinerama-cos7-ppc64le-1.1.3-h9d98e8f_104.tar.bz2”h+Œ 69cc5ae6ce2008dfa5a9e64fcaf0dc14”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-ppc64le-1.1.3-h9d98e8f_104.tar.bz2”h0Œ@24ccb66e60391386fd9e9af403c2be05934247b0d4f1791360611e9def1b7bab”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|a¶È´hEM©+hFˆubh)”}”(hŒ	soupsieve”h#Œ2.3.2.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*soupsieve-2.3.2.post1-pyhd8ed1ab_0.tar.bz2”h+Œ 146f4541d643d48fc8a75cacf69f03ae”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/soupsieve-2.3.2.post1-pyhd8ed1ab_0.tar.bz2”h0Œ@72d80dda41c3902c2619e8ab49d4f5b2a894d13375e1f9ed16fc00074ddd2307”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØµr>È´hEM°‡hFˆubh)”}”(hŒjinja2-time”h#Œ0.2.0”h%Œpy_2”h'Khhh(h)hŒjinja2-time-0.2.0-py_2.tar.bz2”h+Œ 6e8d28fac1864c623fd4402168ca4d46”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/jinja2-time-0.2.0-py_2.tar.bz2”h0Œ@c984eaf9aa0d1678dd3482d7b101f0dc76becf37b21e947cb8bedfe0a2c41bf8”h2NhNh3Œarrow”Œjinja2”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐ×mÚ°!hEMµ'hFˆubh)”}”(hŒsemantic_version”h#Œ2.6.0”h%Œpy_0”h'K hhh(h)hŒ#semantic_version-2.6.0-py_0.tar.bz2”h+Œ f9d12aa48fc359993754ecedb53f1b1a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/semantic_version-2.6.0-py_0.tar.bz2”h0Œ@73b0cbae6567866979de18013638c2d4ca307b7bd3d37075ca7479093cc29537”h2NhNh3Œpython”…”h9h?h@ŒBSD”hBŒBSD”hDGA×5tÞc•hEMÜ2hFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libxxf86vm-cos7-ppc64le-1.1.4-hdf0574f_1102.tar.bz2”h+Œ a5abe33bc6fcf6557a5a89c4fae30c0f”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@2248bf340b488ecac3f82067c260835371ecb753ef39da0ea685c29156169579”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å,2 hEMÃ9hFˆubh)”}”(hŒpyquil”h#Œ2.25.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"pyquil-2.25.0-pyhd3deb0d_0.tar.bz2”h+Œ 4082444e2e9fe39c645e4d70953e34cd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pyquil-2.25.0-pyhd3deb0d_0.tar.bz2”h0Œ@e086d691241bb3948f9439f542717a6a78c0fb68a79cd8d720448c69dd6a9f4a”h2NhNh3(Œ!antlr-python-runtime >=4.7.2,<4.8”Œimmutables 0.6”Œnetworkx >=2.0.0”Œnumpy”Œpython”Œrequests”Œrpcq >=3.0.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×í\‰ÐbNhEJ[· hFˆubh)”}”(hŒr-chemometrics”h#Œ1.4.2”h%Œr36_1001”h'Méhhh(h)hŒ%r-chemometrics-1.4.2-r36_1001.tar.bz2”h+Œ 201f73c686fa775fa39960033cd62abe”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-chemometrics-1.4.2-r36_1001.tar.bz2”h0Œ@fcb9d55d0083da32de694544247f9fd6d30af9b255f7be6adbc3c437a0ef4ba9”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-class”Œr-e1071”Œr-lars”Œr-mass”Œr-mclust”Œr-nnet”Œr-pcapp”Œr-pls”Œr-robustbase”Œr-rpart”Œr-som”t”h9hºh@Œ
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setuptools”Œsimpleitk <2”Œtqdm”t”h9h?h@Œ
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hd8ed1ab_0”h'K hhh(h)hŒ*typing-extensions-4.4.0-hd8ed1ab_0.tar.bz2”h+Œ be969210b61b897775a0de63cd9e9026”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.4.0-hd8ed1ab_0.tar.bz2”h0Œ@6f129b1bc18d111dcf3abaec6fcf6cbee00f1b77bb42d0f0bc8d85f8faa65cf0”h2NhNh3Œ$typing_extensions 4.4.0 pyha770c72_0”…”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAØÐº»C–hEMl!hFˆubh)”}”(hŒgeotorch”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#geotorch-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ ffd14255bfe38667e0a901d18560b539”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geotorch-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9b5f1b24aecfd60db0be6cd1be12668aaeaed954c67ca5fbb548ee5de2544067”h2NhNh3Œpython >=3.5”Œpytorch >=1.9”†”h9h?h@ŒMIT”hBŒMIT”hDGAØzœõ›t¼hEMþ•hFˆubh)”}”(hŒr-r2dii.analysis”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-r2dii.analysis-0.2.1-r41hc72bb7e_0.tar.bz2”h+Œ 3df6b50fbab7e186d90aab063b5fbb34”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-r2dii.analysis-0.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@cb3234f17aa2d60c0d23805a8abc6c1b62924cccffef18f73dd49c4e69f137f6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.8.5”Œr-glue”Œ
r-magrittr”Œr-r2dii.data”Œr-rlang >=0.1.2”Œr-tidyr”Œr-tidyselect”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÙLÌ¼jhEJ‰\ hFˆubh)”}”(hŒlibnl3-cos7-ppc64le”h#Œ3.2.28”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libnl3-cos7-ppc64le-3.2.28-h9d98e8f_1104.tar.bz2”h+Œ 07b97a39a0d26b79d75e969f6faa6cf3”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-ppc64le-3.2.28-h9d98e8f_1104.tar.bz2”h0Œ@fad610d0cbfe6d86d3dbdb67ba52eb3935b357ae6db0075b817aa9b3a845b1d6”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÉzpŽÙhEJ" hFˆubh)”}”(hŒr-xtractomatic”h#Œ3.4.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ*r-xtractomatic-3.4.2-r36h6115d3f_1.tar.bz2”h+Œ ae5774665b41c29c94c8f9120c0bb72d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-xtractomatic-3.4.2-r36h6115d3f_1.tar.bz2”h0Œ@bdcf36539bac0ae10f64976d8221a23e3fa70495626b62afeba2078dc0194cfe”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-httr”Œr-ncdf4”Œr-readr”Œr-sp”t”h9hºh@ŒCC0”hBŒCC”hDGA×Lœg|îhEJöå* hFˆubh)”}”(hŒr-optextras”h#Œ	2019_12.4”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-optextras-2019_12.4-r36h6115d3f_1.tar.bz2”h+Œ 0c2c5f23706a2ca8ce3889c893120623”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-optextras-2019_12.4-r36h6115d3f_1.tar.bz2”h0Œ@334ede8464a2185632ef4222d859ac22fbd1914b59e5f2f9f73d1bc241f43ba5”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«ö1ót¼hEJ- hFˆubh)”}”(hŒ	r-deepnet”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-deepnet-0.2.1-r41hc72bb7e_0.tar.bz2”h+Œ aebb7bc8d8b814f9dd31abf28891b556”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-deepnet-0.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@c8400e6281c1b8cf39fb637903aad613c32465e5f5e2c163dc2c2628bd5e235c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ­ûÌY%hEJ25 hFˆubh)”}”(hŒlibglvnd-cos7-ppc64le”h#Œ1.0.1”h%Œha826a6f_103”h'Kghhh(h)hŒ0libglvnd-cos7-ppc64le-1.0.1-ha826a6f_103.tar.bz2”h+Œ 9f0beadd011576b915d3310498482c2d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libglvnd-cos7-ppc64le-1.0.1-ha826a6f_103.tar.bz2”h0Œ@00da604d25013ace6f1efeffd85e84a213cd48f83a10c361c841fdf25d14feef”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/Œ"=qhEJªõ hFˆubh)”}”(hŒpyocr”h#Œ0.8.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pyocr-0.8.3-pyhd8ed1ab_0.tar.bz2”h+Œ 726f8dc3f28db952b20d309d42d492ba”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyocr-0.8.3-pyhd8ed1ab_0.tar.bz2”h0Œ@02a61da3d1ba684343f4eb8cfdf2a5d261ee001ad8f051603a8a4ad18da26102”h2NhNh3Œpillow”Œpython >=3.4”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ®1\7LhEMš›hFˆubh)”}”(hŒr-dotwhisker”h#Œ0.7.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-dotwhisker-0.7.4-r41hc72bb7e_0.tar.bz2”h+Œ 5bb2e46fb39bffe2a9daa39386de4d7e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dotwhisker-0.7.4-r41hc72bb7e_0.tar.bz2”h0Œ@3777243fe3063580250a8caca07800ebd8b83e32570c588851f53b40c2e625b4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broomextra”Œr-dplyr”Œr-ggplot2 >=2.2.1”Œ
r-ggstance”Œr-gtable”Œ	r-margins”Œr-purrr”Œr-rlang”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØLE'&¸RhEJØ= hFˆubh)”}”(hŒdask-gateway”h#Œ	2022.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+dask-gateway-2022.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3798badf935fd5257ca621fedfc03921”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/dask-gateway-2022.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d0a93e9e7233d87081ae6aed4a220f85b10c7454b90010939e9bf1ef54553a63”h2NhNh3(Œaiohttp”Œclick”Œdask >=2022.4.0”Œdistributed >=2022.4.0”Œpython >=3.8”Œpyyaml”Œtornado”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÒJ¬“hEMãdhFˆubh)”}”(hŒwebkitgtk-cos6-x86_64”h#Œ1.4.3”h%Œha826a6f_103”h'Kghhh(h)hŒ0webkitgtk-cos6-x86_64-1.4.3-ha826a6f_103.tar.bz2”h+Œ 4f283a210d8d2a783de5787317d48e5b”h.Œ^https://conda.anaconda.org/conda-forge/noarch/webkitgtk-cos6-x86_64-1.4.3-ha826a6f_103.tar.bz2”h0Œ@b95a33b7a222f50c7522bc82aaea6f5ecd04b86371319dbd0676345b2379d4da”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGA×Æ/Pã"ÑhEJÂt hFˆubh)”}”(hŒ	firelight”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒfirelight-0.2.1-py_0.tar.bz2”h+Œ 34cac79c3c2dccdabb7a2502011ee85c”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/firelight-0.2.1-py_0.tar.bz2”h0Œ@b42e13d54b5c27c5c6a618e34338d717bea7ad6e2d7d4db147078531f2b6f9d8”h2NhNh3(Œ
matplotlib”Œpython >=3.6”Œpytorch >=0.4”Œpyyaml >=3.12”Œscikit-image”Œscikit-learn”t”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×r£'*^5hEM½ŒhFˆubh)”}”(hŒlibxi-cos7-ppc64le”h#Œ1.7.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libxi-cos7-ppc64le-1.7.9-h9d98e8f_1104.tar.bz2”h+Œ 3061edb1ba1af7f259fdff5cc03bd1c3”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-ppc64le-1.7.9-h9d98e8f_1104.tar.bz2”h0Œ@dc6c01262f8179229427a19eadde77faeb3361492ad4c79305442b5b5f8228a5”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~ùJMÓhEM	—hFˆubh)”}”(hŒ	r-dfoptim”h#Œ	2020.10_1”h%Œr40h142f84f_0”h'K hhh(h)hŒ)r-dfoptim-2020.10_1-r40h142f84f_0.tar.bz2”h+Œ 51b8668ed46b2bce2de49970409ce47b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dfoptim-2020.10_1-r40h142f84f_0.tar.bz2”h0Œ@5b08b119a123d78f007e3b1a58df56ca69c9045ab478cd8feaa1993ff55b038c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ãÊ]‰‡hEJêi hFˆubh)”}”(hŒr-svgui”h#Œ1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-svgui-1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ 0c0f7ae4c82d1dcd6bac36e126e64421”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-svgui-1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@c3cc308d7915af02b6a7e055daee33b59763cfe527c57794018a92fcc2d9bd64”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ™	2=qhEJð hFˆubh)”}”(hŒpymedphys_electronfactors”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒ-pymedphys_electronfactors-0.11.0-py_0.tar.bz2”h+Œ 99205f349b7935675b861b61b453eccb”h.Œ[https://conda.anaconda.org/conda-forge/noarch/pymedphys_electronfactors-0.11.0-py_0.tar.bz2”h0Œ@838693c2a399cdf808d72f8ace9ce598530d312d14dd2909412f1ee7ac10eff2”h2NhNh3(Œ
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r-jsonlite”Œr-rstudioapi”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÐÚóhr°hEJ Y hFˆubh)”}”(hŒunasync”h#Œ0.5.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"unasync-0.5.0-pyhd8ed1ab_1.tar.bz2”h+Œ f507865ee69872a025fb8340ebafec6d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/unasync-0.5.0-pyhd8ed1ab_1.tar.bz2”h0Œ@5002b9990df3ace900c75a86fb18d8a66ad99575b44e63ddc00560f4578dcb1b”h2NhNh3Œpython >=3.5”Œsetuptools >=40.6.2”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ È(bNhEMŒ2hFˆubh)”}”(hŒibis-framework”h#Œ2.1.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ'ibis-framework-2.1.1-hd8ed1ab_0.tar.bz2”h+Œ 78bfa4d1352a824ebbc2da377d5ffdca”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ibis-framework-2.1.1-hd8ed1ab_0.tar.bz2”h0Œ@6d6cf60333bd7d08bb6e22ee14d9bb076c1343acc3be442f997b6864c53a22ff”h2NhNh3(Œatpublic >=2.3”Œclickhouse-driver >=0.1.3”Œclickhouse-sqlalchemy >=0.1.4”Œdatafusion >=0.4”Œgeoalchemy2 >=0.6”Œgeopandas >=0.6”Œ&ibis-framework-core >=2.1.1,<2.1.2.0a0”Œimpyla >=0.17”Œpsycopg2 >=2.7”Œpyarrow >=1”Œpymysql >=1”Œpyspark >=2.4.3”Œpytables >=3”Œpython >=3.7”Œpython-graphviz >=0.16”Œpython-hdfs >=2.0.16”Œrequests >=2”Œshapely >=1.6”Œsqlalchemy >=1.3”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØx`XC–hEMhFˆubh)”}”(hŒr-palmerpenguins”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-palmerpenguins-0.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 100d16643fb13029d6e18426be023450”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-palmerpenguins-0.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@7edaac2c36fa88c0a8114efd8fdf4dde85917944af00632670bb90340a5e159b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÐŠŽªMÓhEJ¾. hFˆubh)”}”(hŒdagster_spark”h#Œ0.6.5”h%Œpy_0”h'K hhh(h)hŒ dagster_spark-0.6.5-py_0.tar.bz2”h+Œ 557cfe8b8f1d979c8d841b3dec004da8”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dagster_spark-0.6.5-py_0.tar.bz2”h0Œ@2ca4ea8b7f2403a6ffcd8c90f1cd83e2d45f3a1f45952a5627ac35945b6c0a83”h2NhNh3Œdagster 0.6.5.*”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×x;,Ý/hEMûthFˆubh)”}”(hŒ
r-sinaplot”h#Œ1.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-sinaplot-1.1.0-r36h6115d3f_1.tar.bz2”h+Œ 613f2bcdc7aa7e0136061d856f896542”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sinaplot-1.1.0-r36h6115d3f_1.tar.bz2”h0Œ@7d03c2232054780381330fa771c798bff52496210c85724dc7699a977cad881b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-plyr >=1.8.4”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬:þ•p¤hEJÖj hFˆubh)”}”(hŒr-sparql”h#Œ1.16”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-sparql-1.16-r36h6115d3f_1002.tar.bz2”h+Œ 77458fd11c250b03762c45a0161e85f0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparql-1.16-r36h6115d3f_1002.tar.bz2”h0Œ@8e0beb9f640c811065d4ad7def9e32fcf0126ad511d52fdf1b9016a40f1b5280”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rcurl”Œr-xml”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L«bPÄœhEMªhFˆubh)”}”(hŒr-goric”h#Œ1.1_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-goric-1.1_2-r40hc72bb7e_0.tar.bz2”h+Œ 9d661f99b7022d9e9613b3849ef4cdaf”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-goric-1.1_2-r40hc72bb7e_0.tar.bz2”h0Œ@321eb1493374bcfa736be2ea59b27a5407fb2138145dc793347c870a31174ee3”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-mass”Œr-matrix”Œ	r-mvtnorm”Œr-nlme”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØog¹™šhEJµK hFˆubh)”}”(hŒlibxrandr-devel-cos6-x86_64”h#Œ1.5.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libxrandr-devel-cos6-x86_64-1.5.1-h9d98e8f_104.tar.bz2”h+Œ 2327b3878950aa949618284141784866”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos6-x86_64-1.5.1-h9d98e8f_104.tar.bz2”h0Œ@a0442132b4a77b6071735d63112e92d6fda2d69afceeb625e3b8c851d97bb070”h2NhNh3Œ#libxrandr-cos6-x86_64 ==1.5.1 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ù÷ÏhEMÆ<hFˆubh)”}”(hŒpkgconfig-cos7-ppc64le”h#Œ0.27.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2pkgconfig-cos7-ppc64le-0.27.1-hdf0574f_102.tar.bz2”h+Œ 7039954acb9f4d933178775bf5b45c05”h.Œ`https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-ppc64le-0.27.1-hdf0574f_102.tar.bz2”h0Œ@8f61c89177dcd58f7cab8c2afbf1c4396f337e25f19498e9b1bbe72acd9b0cdf”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Åi“çmhEM¤ÐhFˆubh)”}”(hŒimage-composer”h#Œ0.0.19”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*image-composer-0.0.19-pyhd8ed1ab_0.tar.bz2”h+Œ 62f8936b653ccb4a19963b1f67f28f58”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/image-composer-0.0.19-pyhd8ed1ab_0.tar.bz2”h0Œ@46e5dbd7f395b0a9394453ad422c31be0450f9aeb8c3ae619222b115690b1967”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØA«>È´hEM>!hFˆubh)”}”(hŒlibnl3-cli-cos7-ppc64le”h#Œ3.2.28”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libnl3-cli-cos7-ppc64le-3.2.28-ha826a6f_1103.tar.bz2”h+Œ 019b60106667558d005d30e34b352cdb”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libnl3-cli-cos7-ppc64le-3.2.28-ha826a6f_1103.tar.bz2”h0Œ@a61c5a9e907b2e2726a5e4b17b8515618da3f899543642c830931cdae0be68ee”h2NhNh3Œ#libnl3-cos7-ppc64le ==3.2.28 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×È,ÍI™šhEJsj hFˆubh)”}”(hŒlibpng-devel-cos7-aarch64”h#Œ1.5.13”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libpng-devel-cos7-aarch64-1.5.13-ha826a6f_1103.tar.bz2”h+Œ 5be54fb37c72c0d45c6df7d801073bc9”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-aarch64-1.5.13-ha826a6f_1103.tar.bz2”h0Œ@c0753accd0b713ade6fadcddf18b36b444eb263c9ab3e8da26e012284be2194a”h2NhNh3Œ#libpng-cos7-aarch64 ==1.5.13 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@Œzlib”hBŒOther”hDGA×Æ{ü§ðhEJÐÀ hFˆubh)”}”(hŒcups-libs-cos7-aarch64”h#Œ1.6.3”h%Œha826a6f_103”h'Kghhh(h)hŒ1cups-libs-cos7-aarch64-1.6.3-ha826a6f_103.tar.bz2”h+Œ ec1320b580be0b3a860d2f954eac2b24”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos7-aarch64-1.6.3-ha826a6f_103.tar.bz2”h0Œ@e517c5dc8b0ab1a14e9200a2fdb1a3091ea6049763454e4fa9bfa9c989fb0b0e”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2 and zlib”hBŒLGPL”hDGA×Æ{€ÔþhEJÅ hFˆubh)”}”(hŒr-ebayesthresh”h#Œ1.4_12”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ.r-ebayesthresh-1.4_12-r35h6115d3f_1002.tar.bz2”h+Œ 490a632a57f921e9e4bddecf28949306”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-ebayesthresh-1.4_12-r35h6115d3f_1002.tar.bz2”h0Œ@b18c07fd72ed3807bbea3d8160fec1519d6ccaf9605344887f08fc42caf0c357”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-wavethresh”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LI­wß;hEJ2Ì hFˆubh)”}”(hŒr-binr”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-binr-1.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 032aa18ef24035554d2eb3cbba949cc8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-binr-1.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@44e976b14e1be7fed176ff63f20684e3aed9784203a90e85d202c9607de44a04”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ®©×°!hEJý* hFˆubh)”}”(hŒlibibumad-cos7-ppc64le”h#Œ22.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libibumad-cos7-ppc64le-22.4-h9d98e8f_104.tar.bz2”h+Œ 625697bc07b32414a66644217f511bb4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-ppc64le-22.4-h9d98e8f_104.tar.bz2”h0Œ@957ddc7fb6e746306d6853089f43fcd590856f92d6f57b9787c6cbb0f7400408”h2NhNh3Œ#rdma-core-cos7-ppc64le ==22.4 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Éz–£hEM“|hFˆubh)”}”(hŒr-preferably”h#Œ0.4.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-preferably-0.4.1-r40hc72bb7e_0.tar.bz2”h+Œ 5dc653d9c7459990973b0cf38c3f0e46”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-preferably-0.4.1-r40hc72bb7e_0.tar.bz2”h0Œ@bc2619f9f24d428c0e643528bb59c29522302577d521133aa5eea95d3e5c8c7f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-knitr”Œ	r-pkgdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¶è.ÈƒhEJ# hFˆubh)”}”(hŒooipy”h#Œ1.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ ooipy-1.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3b92f472e2c8636df5a88678604a4573”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ooipy-1.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1dfbf6dd23ca1a16780f04461e1359b2aeb041702c1009668a32f0d5e48e25f0”h2NhNh3(Œaiohttp”Œfsspec”Œobspy”Œpandas”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ(À<çmhEJ– hFˆubh)”}”(hŒlibxdamage-devel-cos7-x86_64”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8libxdamage-devel-cos7-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h+Œ 328fe54568769ce4aeffea521a1b98d0”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@0ab58b878750c9f178a252dae6a13b7d2e3f86fa3255786e3e3e4f8beb62cc20”h2NhNh3Œ%libxdamage-cos7-x86_64 ==1.1.4 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+k•hEM¬hFˆubh)”}”(hŒpyroute2.ethtool”h#Œ0.6.13”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,pyroute2.ethtool-0.6.13-pyhd8ed1ab_1.tar.bz2”h+Œ 5911cb7472bbeed55032ee584f143714”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/pyroute2.ethtool-0.6.13-pyhd8ed1ab_1.tar.bz2”h0Œ@b221cce8f237ae238ec70b8042111ed4bf9babca5baea6c6a45d0e15c6a4bbd9”h2NhNh3Œpyroute2.core”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ×àR›¶FhEMIshFˆubh)”}”(hŒ	r-pvclust”h#Œ2.2_0”h%Œr36_1”h'Khhh(h)hŒr-pvclust-2.2_0-r36_1.tar.bz2”h+Œ 777de0ada0d5e900804afac57ae0c378”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-pvclust-2.2_0-r36_1.tar.bz2”h0Œ@128a538db3493f1b1d5931bd1d8b36c375093f3f29877b65ba10130dd06ed0fe”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL”hDGA×¬hs¾whEJ hFˆubh)”}”(hŒpykicad”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒpykicad-0.1.1-py_0.tar.bz2”h+Œ 7164a7dc0bb8987b669e5d845a8fc764”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pykicad-0.1.1-py_0.tar.bz2”h0Œ@29e642ba92bfc15e07921a736a7aaf768e5ad049d15d93b0b87f24803371dfd8”h2NhNh3Œ	pyparsing”Œ
python >=3”†”h9h?h@ŒISC”hBŒOther”hDGA×„’îž$ÝhEM÷AhFˆubh)”}”(hŒjupyterlab-blockly”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-jupyterlab-blockly-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ aaa1f90570082acd0d7a40861978720b”h.Œ[https://conda.anaconda.org/conda-forge/noarch/jupyterlab-blockly-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@910e62540f87b19e4a6b8e0718a21765a291e048210675c29ef7f564f1581426”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÆdöÉXhEJä hFˆubh)”}”(hŒnapari-turing”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(napari-turing-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ a5d00f7d48312ad312f0a9b3e79db389”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/napari-turing-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@392989947e01d75ea4ad6a7d38739d98855a9ddfbe15ab9c03ccbfdea0fe82fc”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpython >=3.8”Œqtpy”Œscikit-image”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÚ±òŸ¾hEMäMhFˆubh)”}”(hŒr-label.switching”h#Œ1.8”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ+r-label.switching-1.8-r40hc72bb7e_1.tar.bz2”h+Œ 61418aeef65404c54258e19ea7e0cde6”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-label.switching-1.8-r40hc72bb7e_1.tar.bz2”h0Œ@abcf8ad61bd57ed8e4bf9ca4c0604145eaccbfbc00674da4a5be2c3be41fcf59”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-combinat”Œ	r-lpsolve”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+#ú-hEJöš hFˆubh)”}”(hŒr-brobdingnag”h#Œ1.2_9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-brobdingnag-1.2_9-r41hc72bb7e_0.tar.bz2”h+Œ ae44064952c845729e9d92a7587a76ba”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-brobdingnag-1.2_9-r41hc72bb7e_0.tar.bz2”h0Œ@64714a7b6d0709400450078129433e23aec2d1d27eb1b50d87b1223e9dbcfc90”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix >=1.5_0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÕÔx»t¼hEJ<­ hFˆubh)”}”(hŒr-survival666”h#Œ0.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-survival666-0.5-r42hc72bb7e_1.tar.bz2”h+Œ 11490a421f48ead731d7076969c8194a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-survival666-0.5-r42hc72bb7e_1.tar.bz2”h0Œ@44250807aca2e4110df9bfb9cfd842c14626ccdf1d2093d5775cda5a76866953”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ
r-survival”Œr-survminer”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ‰5lÝ/hEJ™ hFˆubh)”}”(hŒorbit2-cos7-aarch64”h#Œ2.14.19”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1orbit2-cos7-aarch64-2.14.19-h9d98e8f_1104.tar.bz2”h+Œ f18edcf57934fa9ebfdeda914417a55c”h.Œ_https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-aarch64-2.14.19-h9d98e8f_1104.tar.bz2”h0Œ@0d67296ca7a187ae624568067ebdb78ee6c2166a063c42e7f68d523ea003c972”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Éy3ÁG®hEJVÑ hFˆubh)”}”(hŒr-kedd”h#Œ1.0.3”h%Œr40_1004”h'Mìhhh(h)hŒr-kedd-1.0.3-r40_1004.tar.bz2”h+Œ 0d30700037164184c902d1c7a4d31009”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-kedd-1.0.3-r40_1004.tar.bz2”h0Œ@dc96f20e5d333e7040b6c0007f7bf710032977a0b93c434331964ecb0811088a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬¶ü:áHhEJuí hFˆubh)”}”(hŒr-factoextra”h#Œ1.0.7”h%Œr40_1”h'Khhh(h)hŒ r-factoextra-1.0.7-r40_1.tar.bz2”h+Œ e95d3ba48e0828ad79254a91c3106a55”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-factoextra-1.0.7-r40_1.tar.bz2”h0Œ@678ead0b9195adf78eaa006b19e80dddc0b540ab855e51aed08e043971768a1f”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”Œr-dendextend”Œr-factominer”Œr-ggplot2 >=2.2.0”Œr-ggpubr >=0.1.5”Œ	r-ggrepel”Œ
r-reshape2”Œr-tidyr”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬Ñîç hEJõ  hFˆubh)”}”(hŒr-prediction”h#Œ0.3.14”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ)r-prediction-0.3.14-r42hc72bb7e_3.tar.bz2”h+Œ 8c383c71992a9137a31c54a9dbb63b0f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prediction-0.3.14-r42hc72bb7e_3.tar.bz2”h0Œ@f64c56996ba527acebee80bb5d4791c53da08995960be4cdb1da6d6d85504342”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÛœ(öhEJÀÑ hFˆubh)”}”(hŒ
r-oriclust”h#Œ1.0_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-oriclust-1.0_2-r41hc72bb7e_1.tar.bz2”h+Œ e1e3e223240f40a4053d15ac8f9d782f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-oriclust-1.0_2-r41hc72bb7e_1.tar.bz2”h0Œ@a51e65e9029132f36b371e4db16790b822696b679029484212e8792ca51b1fee”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ>sd1hEJW hFˆubh)”}”(hŒlibnl-cos6-x86_64”h#Œ1.1.4”h%Œh1795305_101”h'Kehhh(h)hŒ,libnl-cos6-x86_64-1.1.4-h1795305_101.tar.bz2”h+Œ 59c54f3ed8bfb880ec171db267d28a11”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libnl-cos6-x86_64-1.1.4-h1795305_101.tar.bz2”h0Œ@768938e9114cd105cf05469e467b732f0f9ae00d74500a654df125f2ed46554f”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÄÇuaxÕhEJ* hFˆubh)”}”(hŒnzgeom”h#Œ0.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!nzgeom-0.1.6-pyhd8ed1ab_0.tar.bz2”h+Œ f9a0a5242663b69e4122b4efb6e5d874”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/nzgeom-0.1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@9756a3214a558748ff14aa78cc1c07a3cf46b658347188b949a4bea3209e9b39”h2NhNh3Œ	geopandas”Œpython >=3.10”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÁº;ç+hEJà<´ hFˆubh)”}”(hŒplotly-ecdf”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&plotly-ecdf-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 38b1b01085ec0129d9b4993b9fbe645a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/plotly-ecdf-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@3fee1b2b2f35bceb285607e8ae32809eaec6533c1dec7ab3ebd16cd90301d80b”h2NhNh3Œpandas >=1.0.0”Œplotly >=4.0.0”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×öuz-hEMehFˆubh)”}”(hŒopenstep-parser”h#Œ1.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*openstep-parser-1.5.4-pyhd8ed1ab_0.tar.bz2”h+Œ f997738f5b28042143c50ece4560bd03”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/openstep-parser-1.5.4-pyhd8ed1ab_0.tar.bz2”h0Œ@a5d6780deeb4bf964b53eb1922f1a9be743b0d3c9ad48dd2612a12f2c36beb7b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÏ k[SøhEMîhFˆubh)”}”(hŒr-fastnaivebayes”h#Œ2.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-fastnaivebayes-2.2.1-r42hc72bb7e_1.tar.bz2”h+Œ d648d752c0e37de7b8d3a2e11c096749”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-fastnaivebayes-2.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@51c72eaba1f25e0365745c6e4465b703c4e7c889bf562f4e316b96a645e39cfc”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒA©ühEJàf hFˆubh)”}”(hŒ
r-paintmap”h#Œ1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-paintmap-1.0-r36h6115d3f_1.tar.bz2”h+Œ 6880f3acf44731de0d83295ffece869d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r36h6115d3f_1.tar.bz2”h0Œ@937815b189713ba823f91ad80f9f2b6741515b10403bb2e76af3312e578cad8b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×RÌ²áHhEM·ŠhFˆubh)”}”(hŒmatminer”h#Œ0.6.3”h%Œpy_0”h'K hhh(h)hŒmatminer-0.6.3-py_0.tar.bz2”h+Œ 5f504710d333e1767939dae0f5123755”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/matminer-0.6.3-py_0.tar.bz2”h0Œ@e72d243d1ee4582be77a849dcabb5bef0e26e9ea4d67aa48b5c03ada38693852”h2NhNh3(Œaflow >=0.0.9”Œase >=3.14.1”Œcitrination-client >=4.0.1”Œdscribe >=0.2.9”Œfuture >=0.16.0”Œhttplib2 >=0.10.3”Œjmespath >=0.9.3”Œmdf_forge >=0.6.1”Œmonty >=3.0.1”Œnumpy >=1.18.3”Œpandas >=0.23.4”Œpint >=0.8.1”Œpip”Œplotly >=3.2.1”Œpymatgen >=2019.10.2”Œpymongo >=3.6.1”Œpython >=3.5”Œrequests >=2.20.0”Œscikit-learn >=0.21.3”Œsix >=1.11.0”Œsympy >=1.1.1”Œtqdm >=4.23.1”Œujson >=1.35”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¬”úÙhEJù: hFˆubh)”}”(hŒr-dbplot”h#Œ0.3.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-dbplot-0.3.3-r42hc72bb7e_2.tar.bz2”h+Œ 982163c03d0aa357a6ce00b508c7ad48”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dbplot-0.3.3-r42hc72bb7e_2.tar.bz2”h0Œ@8bad360e7d3c3f1f50a4c8e759c12cda91bc7b580735e4aa634f488491878ba4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7”Œ	r-ggplot2”Œr-purrr”Œr-rlang >=0.4”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ‹ëï
=hEJ­ hFˆubh)”}”(hŒr-dlookr”h#Œ0.6.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-dlookr-0.6.1-r42hc72bb7e_0.tar.bz2”h+Œ 10164b1b2e374bf069e52f4ce1a5008e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dlookr-0.6.1-r42hc72bb7e_0.tar.bz2”h0Œ@24492b89138c9b15428c0843905d9d029719b526a94bf7df2d757453e09eff9c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.6”Œr-ggplot2 >=3.0.0”Œr-gridextra”Œr-hrbrthemes >=0.8.0”Œr-htmltools”Œr-kableextra”Œr-knitr >=1.22”Œr-mice”Œr-pagedown >=0.15”Œ
r-partykit”Œr-purrr”Œr-reactable”Œr-rlang”Œr-rmarkdown”Œr-shiny”Œr-showtext >=0.9_4”Œr-sysfonts >=0.7.1”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÛ7²ÌÌÍhEJGí, hFˆubh)”}”(hŒglib2-devel-cos7-x86_64”h#Œ2.56.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ4glib2-devel-cos7-x86_64-2.56.1-ha826a6f_1103.tar.bz2”h+Œ 2039e9b8c53ff018cb97eb685474825a”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-x86_64-2.56.1-ha826a6f_1103.tar.bz2”h0Œ@3e784bcc33eebb96f2b7ce45def6571ae2573a7535c1de5d61730bfaeff57da9”h2NhNh3Œ!glib2-cos7-x86_64 ==2.56.1 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1ge‘hhEJ† hFˆubh)”}”(hŒ	r-snftool”h#Œ2.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-snftool-2.3.1-r41hc72bb7e_0.tar.bz2”h+Œ 1ef76eaa39edcd78e050a3bd52ac312b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-snftool-2.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@81cfee17795d99576b9d0b29a0a89dc27fbd4e90f474c8decad52a21c24d5012”h2NhNh3Œ
r-alluvial”Œr-base >=4.1,<4.2.0a0”Œr-exposition”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ0ÐŒIºhEJë hFˆubh)”}”(hŒr-turner”h#Œ0.1.7”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ'r-turner-0.1.7-r36h6115d3f_1002.tar.bz2”h+Œ 6ff93035d1953dffd4c30f8d5d9d1a61”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-turner-0.1.7-r36h6115d3f_1002.tar.bz2”h0Œ@0204da3e1d61afc71e4af0ce961e08afce7898b0c8473a5b17e9614951e94b55”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-tester”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«þvùG®hEJš hFˆubh)”}”(hŒr-bgmm”h#Œ1.8.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-bgmm-1.8.5-r41hc72bb7e_1.tar.bz2”h+Œ f8b19f2db4ecf4b3fc4639d87c7a0349”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bgmm-1.8.5-r41hc72bb7e_1.tar.bz2”h0Œ@13a56aaadc3fb71841fd81a46c7d38bb1368fb21bdd2d9ead0d269883918719c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ
r-combinat”Œ	r-lattice”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓX~8ƒhEJCº hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ+r-cellranger-1.1.0-r41hc72bb7e_1003.tar.bz2”h+Œ 51126edbb0ff3d7c879622f6a51204e1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r41hc72bb7e_1003.tar.bz2”h0Œ@191aef0f0bfb250126cc1bcdb95b04a2a7df2bb2ddb6b59a432e08eb5b7ffab0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+gTÐ ÅhEJ± hFˆubh)”}”(hŒbicycleparameters”h#Œ1.0.0”h%Œpy_1”h'Khhh(h)hŒ$bicycleparameters-1.0.0-py_1.tar.bz2”h+Œ 83f5441b78e059f67225374a650e0428”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/bicycleparameters-1.0.0-py_1.tar.bz2”h0Œ@32cd9c3cf24a82a8dd286b20f5958dc0ca8c98dba93f63d75a23883c8846304d”h2NhNh3(Œdynamicisttoolkit >=0.1.0”Œmatplotlib >=1.1.1”Œnumpy >=1.6.1”Œpython”Œscipy >=0.9.0”Œuncertainties >=2.0.0”Œyeadon >=1.1.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÖÐ8Âg¾whEM.‘hFˆubh)”}”(hŒr-r.huge”h#Œ0.9.0”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ'r-r.huge-0.9.0-r41ha770c72_1003.tar.bz2”h+Œ 3ea8690de2fd39bc97997edda096cf8e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-r.huge-0.9.0-r41ha770c72_1003.tar.bz2”h0Œ@59ad5f0e8a0831ac1428a7810140d1f4136f1e07e733d832c4e1bab4088108b0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-r.methodss3 >=1.7.0”Œr-r.oo >=1.18.0”Œr-r.utils >=1.34.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØ*þ÷´9hEJŽ hFˆubh)”}”(hŒr-academictwitter”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ-r-academictwitter-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ ae90604910b13b0dc7b6c62ab99a03a4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-academictwitter-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@27e417cb2429e5221b43a7c70d1d28f0314cd4fcc6fc1c2a643a0354efcae9f1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=1.0.0”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØƒZzŸ®hEJÞV$ hFˆubh)”}”(hŒlibibcm-cos6-x86_64”h#Œ1.0.5”h%Œh1795305_101”h'Kehhh(h)hŒ.libibcm-cos6-x86_64-1.0.5-h1795305_101.tar.bz2”h+Œ 3f0242a1a4df39a65f45fa9917b7f2ff”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libibcm-cos6-x86_64-1.0.5-h1795305_101.tar.bz2”h0Œ@df1035cd176e3f53a936ee949ca8eb2ff2412c64568c0a517e0a7f3d8b21f8b7”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÄÇtÎ‡+hEM|OhFˆubh)”}”(hŒ	r-ensurer”h#Œ1.1”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ&r-ensurer-1.1-r41hc72bb7e_1004.tar.bz2”h+Œ 9e04a06da0b08a59e69b78492f7e0932”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ensurer-1.1-r41hc72bb7e_1004.tar.bz2”h0Œ@61f6f507b420c3f1436382fef863162d390848e59faeac7bfa6d608900e66e68”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ„áãSøhEMÕÌhFˆubh)”}”(hŒmesa-libegl-cos6-x86_64”h#Œ11.0.7”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3mesa-libegl-cos6-x86_64-11.0.7-h9b0a68f_105.tar.bz2”h+Œ 3409bc7f76ce2704e76f3bc2c783c3c8”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos6-x86_64-11.0.7-h9b0a68f_105.tar.bz2”h0Œ@d33c9b94f4396f0bb809f05469b9277baaf2134d515247e1af73cd89c00130a1”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Uê¡ûçhEMiôhFˆubh)”}”(hŒneo4j-python-driver”h#Œ4.4.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.neo4j-python-driver-4.4.5-pyhd8ed1ab_0.tar.bz2”h+Œ 7f52cabb4eab57c9454b9b8a5a7f6563”h.Œ\https://conda.anaconda.org/conda-forge/noarch/neo4j-python-driver-4.4.5-pyhd8ed1ab_0.tar.bz2”h0Œ@4f1f53c4220504b368eea718d3c405b99f1391da40bb8212ab94392362d3e992”h2NhNh3Œpython >=3.6”Œpytz”†”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØÐ­ØbhEMó1hFˆubh)”}”(hŒxpdview”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒxpdview-0.5.0-py_0.tar.bz2”h+Œ ce19b35ca4fcfb04f1d0408032338e36”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/xpdview-0.5.0-py_0.tar.bz2”h0Œ@6cef65ed4591d2300d754a5b073798516d0b362f109476e408c15afff95699b1”h2NhNh3(Œbluesky”Œcycler”Œ
matplotlib”Œnumpy”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×äk©º^hEM»phFˆubh)”}”(hŒr-r2html”h#Œ2.3.3”h%Œr40ha770c72_0”h'K hhh(h)hŒ$r-r2html-2.3.3-r40ha770c72_0.tar.bz2”h+Œ 37f15adee0e9485b1e5f6102c1cea12f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r2html-2.3.3-r40ha770c72_0.tar.bz2”h0Œ@e945c042cec2b13532a39d3c9754e0443f0a05527aa35df933693cd4209d912a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
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pytest >=4”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGA×¼ªÀ1'hEJÎ hFˆubh)”}”(hŒifaddr”h#Œ0.1.7”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!ifaddr-0.1.7-pyh9f0ad1d_0.tar.bz2”h+Œ f920471ce4ef6517a14828b5d8a6e938”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ifaddr-0.1.7-pyh9f0ad1d_0.tar.bz2”h0Œ@94e7d2f2d934f03bb74be9cc35cf86e19e4cb830bb7a9d7b032293e25320a86f”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Áfü“hEMC,hFˆubh)”}”(hŒpango-cos7-aarch64”h#Œ1.42.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/pango-cos7-aarch64-1.42.4-h9b0a68f_1105.tar.bz2”h+Œ b519ba1d794440f6a488ae56494b12c1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pango-cos7-aarch64-1.42.4-h9b0a68f_1105.tar.bz2”h0Œ@cc4355e0b6a984f1c49fbf048a6bd837b3e457d4b6f08fd6e92061079506694c”h2NhNh3(Œ#cairo-cos7-aarch64 >=1.12.10 *_1105”Œ(fontconfig-cos7-aarch64 >=2.11.91 *_1105”Œ$freetype-cos7-aarch64 >=2.1.5 *_1105”Œ!fribidi-cos7-aarch64 >=1.0 *_1105”Œ"glib2-cos7-aarch64 >=2.56.1 *_1105”Œ$harfbuzz-cos7-aarch64 >=1.4.2 *_1105”Œ#libthai-cos7-aarch64 >=0.1.9 *_1105”Œ"libxft-cos7-aarch64 >=2.0.0 *_1105”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@’}7KÇhEJXQ hFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-aarch64”h#Œ2018.4”h%Œha826a6f_103”h'Kghhh(h)hŒ=xorg-x11-proto-devel-cos7-aarch64-2018.4-ha826a6f_103.tar.bz2”h+Œ ceb82372c0f5f8793819f1b92ec35c77”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-aarch64-2018.4-ha826a6f_103.tar.bz2”h0Œ@384a39b890ba926af6115665ec2f334b86d126794bb555bf2c6d0c8ea3e2724f”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/#p¤hEJÜ‹ hFˆubh)”}”(hŒmesa-libegl-devel-cos6-x86_64”h#Œ11.0.7”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:mesa-libegl-devel-cos6-x86_64-11.0.7-h9d98e8f_1104.tar.bz2”h+Œ dd0b795f55e78ed49091804d627dab77”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos6-x86_64-11.0.7-h9d98e8f_1104.tar.bz2”h0Œ@a00430b360a23298695e661ab8e35fff98b05e9058535b2461585b733e4877be”h2NhNh3Œ'mesa-libegl-cos6-x86_64 ==11.0.7 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|­ÃC–hEMQGhFˆubh)”}”(hŒlzstring”h#Œ1.0.4”h%Œpy_1001”h'Méhhh(h)hŒlzstring-1.0.4-py_1001.tar.bz2”h+Œ 08f3559feb5354d308287d9dc10ef184”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/lzstring-1.0.4-py_1001.tar.bz2”h0Œ@b74a27f7156755502ce6efd4e9bab7b4352a4e825cdea9764626dabf0f8637ed”h2NhNh3Œfuture”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×&"r  hEMihFˆubh)”}”(hŒr-rversions”h#Œ2.1.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-rversions-2.1.2-r40hc72bb7e_0.tar.bz2”h+Œ 982d052b1cac02cca91597622761dac6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rversions-2.1.2-r40hc72bb7e_0.tar.bz2”h0Œ@3f99aeb5bb07d1bff4753e33a8e944f87f3eaadd5b5bd05bd6bbdc6868e0d4e1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-curl”Œr-xml2 >=1.0.0”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÃå5Ù&éhEJ! hFˆubh)”}”(hŒlibxshmfence-cos7-x86_64”h#Œ1.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ2libxshmfence-cos7-x86_64-1.2-ha826a6f_1103.tar.bz2”h+Œ 9f6ff7d3109d5055914dbcb22ee6d68d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-x86_64-1.2-ha826a6f_1103.tar.bz2”h0Œ@38df672bb640435f917761e48a088afce9a62a54483fbe2fa8ebe7325edf4539”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/Cl‹hEM1"hFˆubh)”}”(hŒpdfminer.six”h#Œ20201018”h%Œpy_2”h'Khhh(h)hŒ"pdfminer.six-20201018-py_2.tar.bz2”h+Œ e276aea233f9ec42223858109973921d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pdfminer.six-20201018-py_2.tar.bz2”h0Œ@548d78a6560a67bbe52618cbfeb6e921b81ee339f33a3f94f7f90f4aaf4f8212”h2NhNh3Œchardet”Œcryptography”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ãn9‰7hEJµýM hFˆubh)”}”(hŒr-futile.logger”h#Œ1.4.3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ.r-futile.logger-1.4.3-r40h6115d3f_1003.tar.bz2”h+Œ c515d451dc190abd36245d34be91895a”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-futile.logger-1.4.3-r40h6115d3f_1003.tar.bz2”h0Œ@1e8fbd1926d8038be17b07bfa8df866ff6b5ba4396c5226efbcb78731d559d70”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-futile.options”Œr-lambda.r >=1.1.0”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGA×«áávÉhEJ® hFˆubh)”}”(hŒr-rvmmin”h#Œ2018_4.17.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-rvmmin-2018_4.17.1-r40hc72bb7e_0.tar.bz2”h+Œ c56e6e46ae4e142abc7ea3f4faf726c8”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rvmmin-2018_4.17.1-r40hc72bb7e_0.tar.bz2”h0Œ@de1c51221847b1e5e09ba39972b16454d0dce49d7ae743b8fefb7935a48453f8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-optextras”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ”RéG®hEJ×w hFˆubh)”}”(hŒperl-file-chdir”h#Œ0.1011”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ/perl-file-chdir-0.1011-pl5321hd8ed1ab_0.tar.bz2”h+Œ c057570093f9298e9c5e4391877f2301”h.Œ]https://conda.anaconda.org/conda-forge/noarch/perl-file-chdir-0.1011-pl5321hd8ed1ab_0.tar.bz2”h0Œ@736b5c79e0ea19efb8f97f628a508cf42a1d5b6bc5533df1bd454651e28950c2”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-pathtools”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØ½ÙBj\hEMMBhFˆubh)”}”(hŒlibjpeg-turbo-cos7-ppc64le”h#Œ1.2.90”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libjpeg-turbo-cos7-ppc64le-1.2.90-h9b0a68f_105.tar.bz2”h+Œ 4a1eb43913106415d34e02550e0439a6”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-ppc64le-1.2.90-h9b0a68f_105.tar.bz2”h0Œ@a47b274026e8461fb5078ea7a5dd917f5f7f995f1ecaf165a0f8d68fa5eec552”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒIJG”hBŒOther”hDGAØ@†m^5hEJz/ hFˆubh)”}”(hŒlibxrender-devel-cos6-x86_64”h#Œ0.9.10”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8libxrender-devel-cos6-x86_64-0.9.10-h9d98e8f_104.tar.bz2”h+Œ fc2d4a5b555b80f428371812ed3466aa”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos6-x86_64-0.9.10-h9d98e8f_104.tar.bz2”h0Œ@90593346f60ca953273c659f28bb69c244e01a1b4829709a898b2aaa51344fde”h2NhNh3Œ%libxrender-cos6-x86_64 ==0.9.10 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}$"JhEMÚ/hFˆubh)”}”(hŒgflex”h#Œ1.1.0”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ gflex-1.1.0-pyh9f0ad1d_1.tar.bz2”h+Œ 5e515cd95c22c9e11f65b53f482526df”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/gflex-1.1.0-pyh9f0ad1d_1.tar.bz2”h0Œ@bd461f5b6e16b2862a310724fa5c87ceac0e5e50d5e74de0af08f16c55a6724a”h2NhNh3Œmatplotlib-base”Œpython”Œscipy”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL3”hDGA×ã†Øå`hEMl²hFˆubh)”}”(hŒpytest-pytorch”h#Œ0.2.1”h%Œpyh44b312d_0”h'K hhh(h)hŒ)pytest-pytorch-0.2.1-pyh44b312d_0.tar.bz2”h+Œ ac2231de2279d0bfac814cfd14d0f18a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytest-pytorch-0.2.1-pyh44b312d_0.tar.bz2”h0Œ@879fda2ac8032c92358e6c587e0fb9297921eb112f36d13650a5bbd955c79dd8”h2NhNh3Œpytest”Œpython >=3.6,<3.10”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ6ÊíÚáHhEM<%hFˆubh)”}”(hŒ	r-mitools”h#Œ2.4”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ#r-mitools-2.4-r41hc72bb7e_3.tar.bz2”h+Œ 4f33781df6b237177eb2b892de6156e4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mitools-2.4-r41hc72bb7e_3.tar.bz2”h0Œ@24c41ca6e2c322667a92ed3e224d49553bf919051f07ec5df39f8e7e92c387c3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dbi”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ¨6VhEJUˆ hFˆubh)”}”(hŒgoogle-api-python-client”h#Œ1.8.0”h%Œpyh8c360ce_0”h'K hhh(h)hŒ3google-api-python-client-1.8.0-pyh8c360ce_0.tar.bz2”h+Œ 5a8a84a61d0c7d3694b1d3f1066a2dc6”h.Œahttps://conda.anaconda.org/conda-forge/noarch/google-api-python-client-1.8.0-pyh8c360ce_0.tar.bz2”h0Œ@779f1215fdc121d51cb3560ca782a85b8997fe1c24c788abb17e52b666101536”h2NhNh3(Œgoogle-api-core >=1.13.0,<2dev”Œgoogle-auth >=1.4.1”Œgoogle-auth-httplib2 >=0.0.3”Œhttplib2 >=0.9.2,<1dev”Œpython”Œsix >=1.6.1,<2dev”Œuritemplate >=3.0.0,<4dev”t”h9h?h@Œ
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matplotlib”Œnumpy >=1.9”Œpython”Œscipy”Œ
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r-magrittr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑy’Ï
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GPL (>= 2)”hBŒGPL3”hDGA×L¸@ÔþhEJ4 hFˆubh)”}”(hŒ	r-downlit”h#Œ0.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-downlit-0.4.2-r41hc72bb7e_1.tar.bz2”h+Œ 25d3c76d0e1bd9fb26e7898235fb30ce”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-downlit-0.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@0643ead0080ad270c62bc80cf8936c64ddb6bf70b354b30ca310e8e7abd87381”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-brio”Œr-desc”Œr-digest”Œ
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r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐªÊOßhEJ”F hFˆubh)”}”(hŒezodf”h#Œ0.3.2”h%Œpy_2”h'Khhh(h)hŒezodf-0.3.2-py_2.tar.bz2”h+Œ c78d3b4aa1f711ff7b2beaf14fd07bcf”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/ezodf-0.3.2-py_2.tar.bz2”h0Œ@027b017615ee2da0bf2d995069b7c32ad6be5ead9f7f89e7c61cc72258f4df58”h2NhNh3Œlxml”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×„ÝãThEMß‹hFˆubh)”}”(hŒchkconfig-cos6-x86_64”h#Œ1.3.49.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ3chkconfig-cos6-x86_64-1.3.49.5-hdf0574f_102.tar.bz2”h+Œ 39097dc2dbfdace329f9d6a9a5bbed4b”h.Œahttps://conda.anaconda.org/conda-forge/noarch/chkconfig-cos6-x86_64-1.3.49.5-hdf0574f_102.tar.bz2”h0Œ@974a68983b554e18dceb8dc65aedc0e1586ad96a5a8cf2ff24f9892696d43f54”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Å+Ü“hEJæC hFˆubh)”}”(hŒglib2-devel-cos7-ppc64le”h#Œ2.56.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4glib2-devel-cos7-ppc64le-2.56.1-hdf0574f_102.tar.bz2”h+Œ 9924dddb85e2d1b60fb89dfb204cc46b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-ppc64le-2.56.1-hdf0574f_102.tar.bz2”h0Œ@5b9087059e8c49d295cb86d572c2f69b8640dee6f3157f3c4e92bc841bd6b1fd”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi¹™šhEJþ hFˆubh)”}”(hŒresonate”h#Œ1.0.9”h%Œpyh050c7b8_1”h'Khhh(h)hŒ#resonate-1.0.9-pyh050c7b8_1.tar.bz2”h+Œ 21a1e247ce9f3a0c7046f018679b254d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/resonate-1.0.9-pyh050c7b8_1.tar.bz2”h0Œ@52c62262d6dca505147d7657d674b8cd453ffe9c9d99e6bf22dc17db39081fcf”h2NhNh3(Œcolorama”Œgeopy”Œ	nbconvert”Œnumpy”Œpandas”Œplotly”Œpytest”Œpython >=2.7”Œ
simplejson”Œsphinx”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØ¥:\hEM9uhFˆubh)”}”(hŒpytest-helpers-namespace”h#Œ
2021.12.29”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8pytest-helpers-namespace-2021.12.29-pyhd8ed1ab_0.tar.bz2”h+Œ 17191d9fc3071769ba9d3e5deb4bbc0c”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/pytest-helpers-namespace-2021.12.29-pyhd8ed1ab_0.tar.bz2”h0Œ@668b349a249a315be4b5e97a1c8abe9fcdb317eff7ff12fe98ffd839f57125f1”h2NhNh3Œpytest >=2.9.1”Œpython >=2.7”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØtÿŸì(öhEMK8hFˆubh)”}”(hŒorbit2-cos6-x86_64”h#Œ2.14.17”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0orbit2-cos6-x86_64-2.14.17-h9b0a68f_1105.tar.bz2”h+Œ 486bca9f3624561ba4946b36e3c714a9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos6-x86_64-2.14.17-h9b0a68f_1105.tar.bz2”h0Œ@b2a4928043371e6069f7576d8e8f34f61f65ce6d72bb4c7668a8616b312267a9”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGAØ@V
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hd8ed1ab_0”h'K hhh(h)hŒ#llvm-meta-13.0.1-hd8ed1ab_0.tar.bz2”h+Œ 46c024485fcdd92dab34a576a547da31”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/llvm-meta-13.0.1-hd8ed1ab_0.tar.bz2”h0Œ@0c5ad46c66fae47c581c21765d0cf3c99be5088cf2be62da684ad28eabff4097”h2NhNh3)h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØCWŽE¢hEMçhFˆubh)”}”(hŒatool”h#Œ0.39.0”h%Œpl5321hd8ed1ab_2”h'Khhh(h)hŒ%atool-0.39.0-pl5321hd8ed1ab_2.tar.bz2”h+Œ 79f15cc942ca933b5dcce5a2af5bc57f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/atool-0.39.0-pl5321hd8ed1ab_2.tar.bz2”h0Œ@505dda13ad6f44940ce80bb41b3d46439b9599473fa62be1e52d89d5a946686c”h2NhNh3Œperl >=5.004”Œperl >=5.32.1,<6.0a0 *_perl5”†”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØÉÃt1'hEMhFˆubh)”}”(hŒr-lisreltor”h#Œ0.1.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-lisreltor-0.1.5-r41hc72bb7e_1.tar.bz2”h+Œ 3c4cce30a8b730e7803ca53730f23247”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-lisreltor-0.1.5-r41hc72bb7e_1.tar.bz2”h0Œ@d25e5a8777b3a571bb9df4748d5a39e48c2cfaa0b4c6d7144ed8c01aa918b9ce”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ&®ŒZhEM8æhFˆubh)”}”(hŒ
find-kedro”h#Œ0.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%find-kedro-0.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ 75c354910923b7ebfaa3ad46b1300723”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/find-kedro-0.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@300bef875bf2da0a2c80027bfb1613d93e7f03cd7513ca7a3719c56a8a0085c9”h2NhNh3(Œclick”Œcolorama”Œkedro”Œpygments”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×µW;ÿ
=hEMm.hFˆubh)”}”(hŒstatic”h#Œ1.1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!static-1.1.1-pyh9f0ad1d_0.tar.bz2”h+Œ 85bae792040a3776a79b27825fb3865a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/static-1.1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@0549b03cf32ccc60cebff86138f50c2fb10df78ce6ccc490c5a485624aa73277”h2NhNh3Œpystache”Œpython”Œ
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Apache-2.0”hBŒAPACHE”hDGAØUšÏ©ûçhEJÁ hFˆubh)”}”(hŒ
lazy_table”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%lazy_table-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 85f2ad94374205bc85ed27ee49746bcd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/lazy_table-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a59e297dd19657c6ec32399c251b521158d87a447e69a78d0f88e9bdbdc78afe”h2NhNh3Œpython >=3.6”Œtabulate”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ~Èì‘ë…hEM'#hFˆubh)”}”(hŒyaqc-bluesky”h#Œ2022.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*yaqc-bluesky-2022.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ b2b5f89543258c7f883a1742d20b7ddf”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/yaqc-bluesky-2022.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@eb9ee29ba4ee4d681fa014f9ee49d4dce6cbec9dfc58ae938c38771f3b3b0309”h2NhNh3(Œbluesky >=1.6.6”Œhappi >=1.9.0”Œpython >=3.8”Œyaqc >=2021.10.0”t”h6Œdatabroker >=1.2.2”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØšÀœZhEM”JhFˆubh)”}”(hŒr-dynamictreecut”h#Œ1.63_1”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ0r-dynamictreecut-1.63_1-r42hc72bb7e_1005.tar.bz2”h+Œ ae40ef021ecb884dbce9035c8629a414”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-dynamictreecut-1.63_1-r42hc72bb7e_1005.tar.bz2”h0Œ@3e7dd4f1def0cc1a674c2580f4603854b2daf5381a0fc95eb3f28f6d5bdbdf50”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ2ô·¾whEJgœ hFˆubh)”}”(hŒlibxcb-cos7-x86_64”h#Œ1.13”h%Œhdf0574f_1102”h'MNhhh(h)hŒ-libxcb-cos7-x86_64-1.13-hdf0574f_1102.tar.bz2”h+Œ 7dfd5ca5afe757db9174317ef9e780f1”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-x86_64-1.13-hdf0574f_1102.tar.bz2”h0Œ@66bd7fd48c640e11b202eae58499a4a657a8fb02e51de9b2ad8c51fc5b4f1766”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ)”Ý/hEJ¯ hFˆubh)”}”(hŒpycalverter”h#Œ1.6.1”h%Œpy_0”h'K hhh(h)hŒpycalverter-1.6.1-py_0.tar.bz2”h+Œ c68ccbc1b1c480d369405e689297c7f0”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pycalverter-1.6.1-py_0.tar.bz2”h0Œ@fa7c6341a7a9cd1fb819e3d67b7165f2f2b9b228f0c5f300dd1451853f4b62f4”h2NhNh3Œpython”…”h9h?h@ŒGPL-2.0”hBŒGPL2”hDGA×@å†,‹DhEM‡;hFˆubh)”}”(hŒ	pymodulon”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pymodulon-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 49dfbbe45af6e3b39cdf01d9dec0eee5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pymodulon-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@249aa50fed33cde10d5f48a54b65aefac2024d723b505b6abb269a6712620bad”h2NhNh3(Œadjusttext >=0.7”Œbeautifulsoup4 >=4.9”Œbiopython >=1.77”Œjupyter >=1.0”Œ
lxml >=4.6”Œmatplotlib-base >=3.2”Œmatplotlib-venn >=0.11”Œnumpy >=1.19”Œopenpyxl >=2.5”Œpandas >=1.0”Œpython >=3.6”Œpython-graphviz >=0.14”Œscikit-learn >=0.23”Œscipy >=1.5”Œseaborn >=0.10”Œstatsmodels >=0.11”Œtqdm >=4.47”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ7CIu?}hEJI²ÕhFˆubh)”}”(hŒr-tsna”h#Œ0.3.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-tsna-0.3.5-r40hc72bb7e_0.tar.bz2”h+Œ e8675b1a8a11ae17cfc930a53306af0d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tsna-0.3.5-r40hc72bb7e_0.tar.bz2”h0Œ@d833113e43ef348dae769a1afbbc2bb58933dcb2b0e01c4026b094cf2fd8d354”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-network >=1.13”Œr-networkdynamic >=0.9”Œr-statnet.common”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ`¨v$ÝhEJø9  hFˆubh)”}”(hŒxmovie”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!xmovie-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0d8557421d75db28ad55494e72300743”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/xmovie-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@871c996294b75d93a36386ae599214a159936a79101245f6e9d3799091f6134c”h2NhNh3(Œcartopy”Œ	dask-core”Œnumpy”Œpython >=3.7”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŽy|§ðhEMØHhFˆubh)”}”(hŒnapari-dexp”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&napari-dexp-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 2703bcc0fa3ef40b50e0de9cd734e592”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/napari-dexp-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@60bf49f416f53c681147e15295d6808f6b458254ae1436d68e13bc6fb345e6f9”h2NhNh3(Œdexp”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ­|ƒ1XhEM@+hFˆubh)”}”(hŒr-pathological”h#Œ0.1_2”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ-r-pathological-0.1_2-r36h6115d3f_1001.tar.bz2”h+Œ fca098bc74813dc2469361f5b9a4aafa”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pathological-0.1_2-r36h6115d3f_1001.tar.bz2”h0Œ@cecc8fa09a979c4cda40247427014de4bed76e322d717eec7df24fa78d926647”h2NhNh3(Œr-assertive.base >=0.0_3”Œr-assertive.files”Œr-assertive.numbers”Œr-assertive.properties”Œr-assertive.reflection”Œr-assertive.strings”Œr-assertive.types”Œr-base >=3.6,<3.7.0a0”Œ
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Apache-2.0”hBŒAPACHE”hDGA×Áü•äIºhEJU hFˆubh)”}”(hŒmatrix_utils”h#Œ0.2.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'matrix_utils-0.2.5-pyhd8ed1ab_0.tar.bz2”h+Œ 54be6d335f68cb3fee0c22fd90ac5397”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/matrix_utils-0.2.5-pyhd8ed1ab_0.tar.bz2”h0Œ@5347692ce0ba3ebd18ab0bee37ebb41dcafa78f3e29254b016f1552c83243bb3”h2NhNh3(Œbw_processing >=0.8”Œnumpy”Œpandas”Œpython >=3.6”Œscipy”Œstats_arrays”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÂ¸”<ZhEMÆEhFˆubh)”}”(hŒr-flux”h#Œ0.3_0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-flux-0.3_0.1-r42hc72bb7e_1.tar.bz2”h+Œ 42827c6f43fc0e8ec0a52ea5e3ad094a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flux-0.3_0.1-r42hc72bb7e_1.tar.bz2”h0Œ@ac1c0e2d315b271dd2edad02fced1b5362639f1d728654da5bfeade3ab938558”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-catools”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ~³ÊMÓhEJ·r	 hFˆubh)”}”(hŒmne”h#Œ1.0.3”h%Œ
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ipyvtklink”Œ
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Apache-2.0”hBŒApache”hDGAØØd»z=qhEMOhFˆubh)”}”(hŒ	r-pmdplyr”h#Œ0.3.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-pmdplyr-0.3.3-r42hc72bb7e_1.tar.bz2”h+Œ fa87f9942716acf020f51a51509e8347”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pmdplyr-0.3.3-r42hc72bb7e_1.tar.bz2”h0Œ@2920fa968c8eb765e5fbbfcb77212c39b5bf49287ed409368bc116850443ccd1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.0”Œr-lubridate”Œ
r-magrittr”Œr-pillar”Œr-rlang >=0.4.0”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ6f"ÀƒhEJLµ hFˆubh)”}”(hŒattrs”h#Œ21.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!attrs-21.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ f70280205d7044c8b8358c8de3190e5d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/attrs-21.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@79cc289deb95b30d4bdedbba5d5dbdcd0ed95b3c306757dc1f83d9164f0c2d88”h2NhNh3Œ4python >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*”…”h9h?h@ŒMIT”hBŒMIT”hDGAØs'e
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r-jsonlite”Œr-shiny”t”h9hºh@Œ
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hc42de5b_0”h'K hhh(h)hŒ$rb-jmespath-1.4.0-hc42de5b_0.tar.bz2”h+Œ 3695fc37eeac3218e0bd0aa4eaec7048”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rb-jmespath-1.4.0-hc42de5b_0.tar.bz2”h0Œ@ccaf868da9c459ec1b8f6f77c6518c69f0596f814f0628eed2341d08ac09fded”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@Œ
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r-sandwich”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L}¡7LhEJ¼ hFˆubh)”}”(hŒ
r-barcoder”h#Œ0.1.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-barcoder-0.1.7-r41hc72bb7e_0.tar.bz2”h+Œ 3a7513dbb5ef7f4328fbf0bd0721f673”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-barcoder-0.1.7-r41hc72bb7e_0.tar.bz2”h0Œ@636e331499f0585925db6c389de8225a2b7285d889859968820572df0887d5c3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-dt >=0.3”Œr-miniui >=0.1.1”Œr-qrcode”Œr-rstudioapi”Œr-shiny >=0.13”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ‘ÉSÎ$ÝhEJ¬ hFˆubh)”}”(hŒfoundation-sites”h#Œ6.6.1”h%j3G h'K hhh(h)hŒ foundation-sites-6.6.1-0.tar.bz2”h+Œ 755574e4986e1d3adc9ef02f43f42039”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/foundation-sites-6.6.1-0.tar.bz2”h0Œ@fb1ddfa38d5b459ad6b025d36b05fc499939dbf01b1bdb431a83b025b8cf74e5”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×ƒ˜ž?l‹hEJ>x¥ hFˆubh)”}”(hŒr-curry”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-curry-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 32ff41efef82bdc0d4ca13b995f1b924”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-curry-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@b7b0c36d03f4862da6e1286bf491a3267ca740fb7f8c730c81dca7dde1903d56”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐé±PhEMŽhFˆubh)”}”(hŒpescador”h#Œ2.1.0”h%Œpy_0”h'K hhh(h)hŒpescador-2.1.0-py_0.tar.bz2”h+Œ 5ca59e2a250489577d5b5fe263d1f613”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pescador-2.1.0-py_0.tar.bz2”h0Œ@13dc7c9f40ec93dbf3597d2fc02c308edbf9cc484f65a017c2dc2b7abd010904”h2NhNh3(Œdecorator >=4.0”Œjoblib >=0.9”Œnumpy >=1.9”Œpython”Œpyzmq >=15.0”Œ	six >=1.8”t”h9h?h@ŒISC”hBŒOTHER”hDGA×YüžxQìhEM”OhFˆubh)”}”(hŒr-treatmentselection”h#Œ2.1.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ3r-treatmentselection-2.1.1-r42hc72bb7e_1003.tar.bz2”h+Œ d459742a5032f115e6ac437bde46ffa2”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-treatmentselection-2.1.1-r42hc72bb7e_1003.tar.bz2”h0Œ@47634cacd22fe215184af2986a48fef591fad60cb0ea2879036a7cc36eb6d962”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-binom”Œ	r-ggplot2”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑö¶—l‹hEJ™' hFˆubh)”}”(hŒr-pacman”h#Œ0.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-pacman-0.5.1-r40hc72bb7e_0.tar.bz2”h+Œ 18aa4e8aba883e85bc151fea56f86033”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pacman-0.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@cd5871bd0c5534ee891f2ffae00647915fc293e36f776ecb4b79ef0879c3d176”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-remotes”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¨)F7LhEJqú hFˆubh)”}”(hŒfrictionless”h#Œ3.48.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ(frictionless-3.48.0-pyhd3deb0d_0.tar.bz2”h+Œ 44fe66ae71e1232dda15185c95d527e6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/frictionless-3.48.0-pyhd3deb0d_0.tar.bz2”h0Œ@aef509cf07b71a891847eb023fc9bece438aad03d83f11cbee9e94373627722f”h2NhNh3(Œchardet >=3.0”Œisodate >=0.6”Œjsonschema >=2.5”Œ
petl >=1.6”Œpython >=3.6”Œpython-dateutil >=2.8”Œpython-slugify >=1.2”Œpyyaml >=5.3”Œrequests >=2.10”Œsimpleeval >=0.9”Œstringcase >=1.2”Œtyper >=0.3”Œvalidators >=0.18”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ùu,$ÝhEJ® hFˆubh)”}”(hŒr-multipanelfigure”h#Œ2.1.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ.r-multipanelfigure-2.1.2-r40hc72bb7e_1.tar.bz2”h+Œ 0b4a1a587a4a458b9e42f2888359de1b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-multipanelfigure-2.1.2-r40hc72bb7e_1.tar.bz2”h0Œ@818fe1b8670ef7375a98b1bac064fd204b175874d1b65ff27cec0dae85f7ceca”h2NhNh3(Œr-assertive.base >=0.0_7”Œr-assertive.files >=0.0_2”Œr-assertive.numbers >=0.0_2”Œr-assertive.properties >=0.0_4”Œr-assertive.types >=0.0_3”Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=2.2.1”Œr-gridgraphics >=0.3_0”Œr-gtable >=0.2.0”Œr-magick >=1.9”Œr-magrittr >=1.5”Œr-stringi >=1.2.3”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ+¶22^5hEJ,) hFˆubh)”}”(hŒnapari-text-layer”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,napari-text-layer-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 74c326a9a38985c7a6c907b70633de97”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/napari-text-layer-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@020c2c2c67903e737cd12f79b2f3161c3887bda7dd17366d469ba265dd363c39”h2NhNh3Œnapari”Œnumpy”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ}TÕ}`BhEMò'hFˆubh)”}”(hŒr-drr”h#Œ0.0.4”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ!r-drr-0.0.4-r40hc72bb7e_1.tar.bz2”h+Œ 535fc4bc045d338946e04f7464995a85”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-drr-0.0.4-r40hc72bb7e_1.tar.bz2”h0Œ@4a2430a67d87ae4b55aa39f93198be9aa02f5bc1c33281035c5e608cf1b72796”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cvst”Œ	r-kernlab”Œr-matrix”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+#FE¢hEJó½ hFˆubh)”}”(hŒat-spi-devel-cos6-x86_64”h#Œ1.28.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4at-spi-devel-cos6-x86_64-1.28.1-hdf0574f_102.tar.bz2”h+Œ 4284b7951c3fd5c256039923ce83b4e0”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos6-x86_64-1.28.1-hdf0574f_102.tar.bz2”h0Œ@31b950fa3a1b285db8d719594d7a063b731f0caaf0fb8f4b9c6480f348f34eff”h2NhNh3(Œ!at-spi-cos6-x86_64 ==1.28.1 *_102”Œ$atk-devel-cos6-x86_64 >=1.13.0 *_102”Œ%gtk2-devel-cos6-x86_64 >=2.10.0 *_102”Œ&gtk2-devel-cos6-x86_64 >=2.24.23 *_102”Œ)libbonobo-devel-cos6-x86_64 >=2.4.0 *_102”Œ&orbit2-devel-cos6-x86_64 >=2.6.0 *_102”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åjó¶hEJE hFˆubh)”}”(hŒr-treemapify”h#Œ2.5.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-treemapify-2.5.5-r40hc72bb7e_0.tar.bz2”h+Œ 567ad3ec31ef0aa97ef5a80ba9d6588e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-treemapify-2.5.5-r40hc72bb7e_0.tar.bz2”h0Œ@d723989b2f1f0a68207deea0c94bea15fa0596f7365b3135f1954bff693df7da”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ggfittext >=0.5.0”Œr-ggplot2 >=2.2.1”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×þtZhEJD	 hFˆubh)”}”(hŒr-rocit”h#Œ2.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rocit-2.1.1-r41hc72bb7e_0.tar.bz2”h+Œ c52be9257c9dc97f7cc8d71ef5867240”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rocit-2.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@e4cdc437f85b18b3f9853b245906703db310c54575b72ddd4f15fc027e82797e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+HªñªhEJ"Ì hFˆubh)”}”(hŒr-climate4r.datasets”h#Œ0.0.1”h%Œr42ha770c72_1”h'Khhh(h)hŒ0r-climate4r.datasets-0.0.1-r42ha770c72_1.tar.bz2”h+Œ 67a113e211e087ad7d90f37d35dff8be”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-climate4r.datasets-0.0.1-r42ha770c72_1.tar.bz2”h0Œ@d858fc64324c24a839d0dd55196be05b1991c26a75d58eb28dc95691539ee05d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØÒ¯Lô‹DhEJåGshFˆubh)”}”(hŒr-vipor”h#Œ0.4.5”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ&r-vipor-0.4.5-r40hc72bb7e_1003.tar.bz2”h+Œ dab283a802dc18e34ccfaeac8cd65600”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-vipor-0.4.5-r40hc72bb7e_1003.tar.bz2”h0Œ@ef042234eee89dfa39cbe6990bc66741eb214d660cfa185de01f8f2c59dd976d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*âæUÒòhEJB1D hFˆubh)”}”(hŒr-captioner”h#Œ2.2.3”h%Œr36h6115d3f_1004”h'Mìhhh(h)hŒ*r-captioner-2.2.3-r36h6115d3f_1004.tar.bz2”h+Œ f36213c55a8b11b590b9ae0cf91361f4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-captioner-2.2.3-r36h6115d3f_1004.tar.bz2”h0Œ@b933066625b42eaa1a760206fdcd9d99525bf1aeeb4cdf57784106e15d7ed434”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬þZffhEMº™hFˆubh)”}”(hŒlibxinerama-devel-cos7-x86_64”h#Œ1.1.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ9libxinerama-devel-cos7-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h+Œ 5359b70b275eecde03de042e55a65cd5”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos7-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h0Œ@49792bbb4c9420accf632817cee8f760e9657877b124812ea48397c035e2507d”h2NhNh3Œ&libxinerama-cos7-x86_64 ==1.1.3 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ‘tIºhEM÷$hFˆubh)”}”(hŒzerorpc-python”h#Œ0.6.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)zerorpc-python-0.6.3-pyhd8ed1ab_1.tar.bz2”h+Œ 40af69d3c9b0cc3a79b5f6fbc406bfaf”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/zerorpc-python-0.6.3-pyhd8ed1ab_1.tar.bz2”h0Œ@2441aaa95eeea960ca118acc8223f06a0bdb1f5dab1b7023358cfcf9723c1848”h2NhNh3(Œfuture”Œgevent >=1.1”Œmsgpack-python >=0.5.2”Œpython >=3.6”Œpyzmq >=13.1.0,!=23.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ§z¨‘hhEM˜_hFˆubh)”}”(hŒr-tilegramsr”h#Œ0.2.0”h%Œr35h6115d3f_2”h'Khhh(h)hŒ(r-tilegramsr-0.2.0-r35h6115d3f_2.tar.bz2”h+Œ 04c14788e319909b706bb56d99bacd71”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tilegramsr-0.2.0-r35h6115d3f_2.tar.bz2”h0Œ@7dd07b8237a5d4e4dfb5551d125bd30469fd17f024beb65633dc3f25c2b2e824”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-sf”Œr-sp”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×MxêŸl‹hEJ±P hFˆubh)”}”(hŒr-shinymodels”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-shinymodels-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 8334dcfdbee399cc862e5673baf007cd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinymodels-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@fafca7105998656d4a2f79c68415d349ea3ff4b2d17ae0348b4530674c7aac4b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-dt”Œr-generics >=0.1.0”Œ	r-ggplot2”Œr-glue”Œr-htmltools”Œ
r-magrittr”Œ	r-parsnip”Œr-plotly”Œr-purrr”Œr-rlang”Œr-scales”Œr-shiny”Œr-shinydashboard”Œr-tidyr”Œr-tidyselect”Œr-tune”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ«ÉÌNÙhEJKí
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r-nomclust”h#Œ2.6.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-nomclust-2.6.2-r41hc72bb7e_0.tar.bz2”h+Œ 27753dc225768b8cfb931d15c694a4cf”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-nomclust-2.6.2-r41hc72bb7e_0.tar.bz2”h0Œ@62f8b06d4cfeeaa40a3337765701e6b87a087f79b4deb2737892e7dcfc988f22”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-plyr”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÚZ®ffhEJ¡ hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ&r-abind-1.4_5-r40hc72bb7e_1003.tar.bz2”h+Œ 60b06297f5712a248214d71323ece6b7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r40hc72bb7e_1003.tar.bz2”h0Œ@294ac955c03e2b2c935c53de25219f1f5c0f1dab212c8c74701f7d3135fa1020”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGAØ*ÔF›¶FhEJK1 hFˆubh)”}”(hŒlibxft-cos6-x86_64”h#Œ2.3.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libxft-cos6-x86_64-2.3.2-h9d98e8f_104.tar.bz2”h+Œ 37c7061fa4d38df970005aa2e249a728”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxft-cos6-x86_64-2.3.2-h9d98e8f_104.tar.bz2”h0Œ@8e47de6be504c0e6b8f20d939d940c3022b2480cf961d09effb7f163fa4b491c”h2NhNh3Œ"fontconfig-cos6-x86_64 >=2.2 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|{›¦hEMÄÚhFˆubh)”}”(hŒentrypoint2”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$entrypoint2-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4d7500038c21fdddee7e6783d0597220”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/entrypoint2-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c0d7f46726890805ec133898debcaaa5a539825a577b5f8cbb906e5749382bdb”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ­F·G
=hEM:/hFˆubh)”}”(hŒr-ggpol”h#Œ0.0.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-ggpol-0.0.7-r42hc72bb7e_1.tar.bz2”h+Œ 2c329c68a2b115fa2bf750d973ddf662”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggpol-0.0.7-r42hc72bb7e_1.tar.bz2”h0Œ@c0e99cb5d6bad40433213ba7471a507f840bdfedafa4cb3456a89765682b4083”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-ggplot2 >=3.3.0”Œr-glue”Œr-gtable”Œr-plyr”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑªe—;dhEJ:µ hFˆubh)”}”(hŒexpat-cos6-x86_64”h#Œ2.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-expat-cos6-x86_64-2.0.1-h9d98e8f_1104.tar.bz2”h+Œ 51ffb3db0f5cd3db1c3148274cad9a02”h.Œ[https://conda.anaconda.org/conda-forge/noarch/expat-cos6-x86_64-2.0.1-h9d98e8f_1104.tar.bz2”h0Œ@071110ceb35b2b1f1d59cd866fb145e34125c86e1d225808a34ac99ac080c6d3”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éyl¬hEJ‚M hFˆubh)”}”(hŒlibx11-devel-cos7-aarch64”h#Œ1.6.7”h%Œ
h1341992_0”h'K hhh(h)hŒ2libx11-devel-cos7-aarch64-1.6.7-h1341992_0.tar.bz2”h+Œ b51bd8f1d45c52edd96ade3ad8899114”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-aarch64-1.6.7-h1341992_0.tar.bz2”h0Œ@efc1176b7a9cf6a230232d71aac8c8c0704f2a5d534439ecc78545e49097041c”h2NhNh3Œlibx11-cos7-aarch64 1.6.7”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×•³!‰ÊÁhEJØ9 hFˆubh)”}”(hŒ	ipyscales”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$ipyscales-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ b3352d145704b6982444a63121df2bb8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/ipyscales-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e973fa9d138df2d177d37b2ba8b7d9d1dea842b46894622b3675c776444635f6”h2NhNh3Œipywidgets >=7.0.0,<8”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÏhb!&éhEJ!Â hFˆubh)”}”(hŒoverly”h#Œ0.1.85”h%Œpy_0”h'K hhh(h)hŒoverly-0.1.85-py_0.tar.bz2”h+Œ 1fca81e16b9545a0012502203dcb2fab”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/overly-0.1.85-py_0.tar.bz2”h0Œ@0763fc67880613461ccc16201db0e7fafc89822f417e4d5299a6ad36e4fa57f3”h2NhNh3Œh11”Œpython >=3.6”Œsansio-multipart”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×³úéG®hEMrGhFˆubh)”}”(hŒlibxcb-devel-cos7-aarch64”h#Œ1.13”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libxcb-devel-cos7-aarch64-1.13-h9d98e8f_1104.tar.bz2”h+Œ a9f36e4c3408d51a2f15f32161ddafe3”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxcb-devel-cos7-aarch64-1.13-h9d98e8f_1104.tar.bz2”h0Œ@93bdb231fc1d3cb985003ce655b6caee49ec065c09e0ff998eb27356ce6f9aee”h2NhNh3Œ!libxcb-cos7-aarch64 ==1.13 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓŒxÕhEJ† hFˆubh)”}”(hŒ
r-labeling”h#Œ0.4.2”h%Œr36h142f84f_0”h'K hhh(h)hŒ&r-labeling-0.4.2-r36h142f84f_0.tar.bz2”h+Œ 0d9680449e3264b41b924b8fa52fdf90”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r36h142f84f_0.tar.bz2”h0Œ@e3ad2d5237c7ee29d5ec57fe9e8f8d96955088b8bfae307a3046b92fca2bbb90”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT OR Unlimited”hBŒMIT”hDGA×ã¬jG®hEJ hFˆubh)”}”(hŒfcd”h#Œ1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒfcd-1.1-pyh9f0ad1d_0.tar.bz2”h+Œ 37681bf14c2356da0df3d74692814cd0”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/fcd-1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@2c7236e521862e712185c151406efe2f2ffa22d909f66f3554bea4fb0bd5d595”h2NhNh3(Œkeras”Œnumpy”Œpython”Œrdkit”Œscipy”Œ
tensorflow”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGA×ÏÀx‘‡hEJw>hFˆubh)”}”(hŒwhoosh”h#Œ2.7.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ!whoosh-2.7.4-pyhd8ed1ab_2.tar.bz2”h+Œ 6aa6e58ffc8b07630e5ad6346d7855e0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/whoosh-2.7.4-pyhd8ed1ab_2.tar.bz2”h0Œ@ae9305c8303355c9fd62f8dfb32931c85fd409dc51a5ae121dbafd54dc444969”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ)€¢ðr°hEJ®ô hFˆubh)”}”(hŒlibxcursor-cos7-aarch64”h#Œ1.1.15”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libxcursor-cos7-aarch64-1.1.15-h9b0a68f_1105.tar.bz2”h+Œ cc0b5eb4bb5dd9de723b837403e272f9”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-aarch64-1.1.15-h9b0a68f_1105.tar.bz2”h0Œ@ba9960ebcbb2316eed2ff94ccb2a439a692db792d777ef49ada0a170f7d9498a”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‘ÿPhEMùjhFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpy_0”h'K hhh(h)hŒ$fenics-dijitso-2019.1.0-py_0.tar.bz2”h+Œ 47e259c09b3f8c44d1afce018c380bbb”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-py_0.tar.bz2”h0Œ@b41107738704cfb16e5ea65183dcd519a79ffd8af47ad8a9b0efe623dba67440”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×2‡CC–hEM"£hFˆubh)”}”(hŒ
lbapcommon”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%lbapcommon-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ d01945a72ffc4bd4d6f5f9a747114591”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/lbapcommon-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@30debdf52edc738f87f530d7fb6852dd45b4982c885c80b76a10d91c53f47ed9”h2NhNh3(Œawkward >=1.0.0”Œbeautifulsoup4”Œboost-histogram”Œhist”Œjinja2”Œlxml”Œmatplotlib-base”Œpython >=3.9”Œpyyaml”Œrequests”Œrequests-gssapi”Œrequests-kerberos”Œ
setuptools”Œ
strictyaml”Œuproot >=4.0.0”Œxrootd”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÂ'ŠZ°!hEMÆ¾hFˆubh)”}”(hŒr-relimp”h#Œ1.0_5”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ'r-relimp-1.0_5-r41hc72bb7e_1003.tar.bz2”h+Œ 18bdd596c453b2dfc2a39ade73362bd1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-relimp-1.0_5-r41hc72bb7e_1003.tar.bz2”h0Œ@5aca880acefbe7ba1cedc3a88b8f0f21c41d845f691854954739a9cfcf0eb9d8”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*âÂ³•hEJs hFˆubh)”}”(hŒr-shinyfiles”h#Œ0.9.3”h%Œr40ha770c72_0”h'K hhh(h)hŒ(r-shinyfiles-0.9.3-r40ha770c72_0.tar.bz2”h+Œ 709334618403e7a3e592e8d5035a58e8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinyfiles-0.9.3-r40ha770c72_0.tar.bz2”h0Œ@1ba4294feb4d72321387c7ba3f5eb0a65012e9fda8b65582dad78c9b06142965”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-fs >=1.2.6”Œr-htmltools”Œ
r-jsonlite”Œr-shiny >=1.1.0”Œr-tibble >=1.4.2”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ¿ÿõˆÔþhEJâ™ hFˆubh)”}”(hŒ	geojsonio”h#Œ0.0.3”h%Œpy_0”h'K hhh(h)hŒgeojsonio-0.0.3-py_0.tar.bz2”h+Œ fbf6775e7824bfb88bdbf0910a061334”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/geojsonio-0.0.3-py_0.tar.bz2”h0Œ@2f032b8fa1790a3d807d2ee5a47bab90269ff327aaa6a7aa3d1439e9300b134b”h2NhNh3Œ
github3.py”Œpython”Œsix”‡”h9h?h@ŒBSD 3-Clause”hEM3hFˆubh)”}”(hŒr-evmix”h#Œ2.12”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-evmix-2.12-r42hc72bb7e_2.tar.bz2”h+Œ 72f60f0522b8581498a90a2862d34edc”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-evmix-2.12-r42hc72bb7e_2.tar.bz2”h0Œ@94517f9271de4f0c6dfe44ab856e08864c8abba5f65b9486fd4099b64c816c27”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-gsl”Œr-mass”Œ	r-sparsem”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ±÷¾whEJ/K hFˆubh)”}”(hŒr-sticky”h#Œ0.5.6.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-sticky-0.5.6.1-r41hc72bb7e_1.tar.bz2”h+Œ f072368d6480ad504b5b7d560c3dd621”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sticky-0.5.6.1-r41hc72bb7e_1.tar.bz2”h0Œ@ad46d1cb364dca0e28f715945d53b75497ca5dc3a019be5f477506b2ca78c306”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ
âMó¶hEMž°hFˆubh)”}”(hŒspenc”h#Œ0.2”h%Œpy_0”h'K hhh(h)hŒspenc-0.2-py_0.tar.bz2”h+Œ 5fcf8ee914244d3eeb39b859afaaa45e”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/spenc-0.2-py_0.tar.bz2”h0Œ@8e5eb2b817080d118dec8678846fb99621d9e07751a3ab630c774fcf915b7b3a”h2NhNh3Œ
python >=3”Œscikit-learn”Œscipy >=0.11”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×5!†¡‰7hEMW5hFˆubh)”}”(hŒshutilwhich-cwdpatch”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒ'shutilwhich-cwdpatch-0.1.0-py_0.tar.bz2”h+Œ 79b8e1dc3c323780050c933fad2432fa”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/shutilwhich-cwdpatch-0.1.0-py_0.tar.bz2”h0Œ@f020a39b6d292d757794a1907a1832322f272ccea6ceb1a1487c406ac9a5ce1b”h2NhNh3Œpython”…”h9h?h@Œ
Python-2.0”hBŒPSF”hDGA×7>™ÊÁhEM>hFˆubh)”}”(hŒr-scrt”h#Œ1.3.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-scrt-1.3.1-r36h6115d3f_1.tar.bz2”h+Œ efa03f50977b6e475a99061b98fde4ff”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-scrt-1.3.1-r36h6115d3f_1.tar.bz2”h0Œ@5e6cad2016548d289f0e3dc739c3747e7e03be218d965daf7fbec37ef735c0a1”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬JšÐåhEJ¦B hFˆubh)”}”(hŒr-shinyfeedback”h#Œ0.4.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-shinyfeedback-0.4.0-r41hc72bb7e_1.tar.bz2”h+Œ 0d1079c4db595e2c2670bbb52d003418”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-shinyfeedback-0.4.0-r41hc72bb7e_1.tar.bz2”h0Œ@252235018e38ea61b0b146a3f421392ee173379df908d7b123f2d7378f5d3b31”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fontawesome”Œr-htmltools”Œ
r-jsonlite”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒg7®hEJµ hFˆubh)”}”(hŒxesmf”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒxesmf-0.3.0-py_0.tar.bz2”h+Œ 467fce81308d531483e8b8206d8f9f67”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/xesmf-0.3.0-py_0.tar.bz2”h0Œ@ed4423097ec3efb75b2efc2a58642e2e568f4d8afb86b206fb29fe3e1da3622b”h2NhNh3(Œesmpy”Œnumpy”Œ
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r-smoother”h#Œ1.1”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ'r-smoother-1.1-r41ha770c72_1002.tar.bz2”h+Œ e673b874bf8f02a8937ee9398bf3d7ba”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-smoother-1.1-r41ha770c72_1002.tar.bz2”h0Œ@190a57dd029c3dae2f3ae82ed482270b494e2401a31e7aa569877ec6b4323d39”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ttr >=0.22”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+4jhEMZŒhFˆubh)”}”(hŒr-gofkernel”h#Œ2.1_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-gofkernel-2.1_1-r41hc72bb7e_1.tar.bz2”h+Œ 197726fd950ffc23e0f182c704d3e5d6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gofkernel-2.1_1-r41hc72bb7e_1.tar.bz2”h0Œ@0a70b197c908b60d1321f7887f03d524cec214c6c49c4096f0c5f4c5c7fbdf2f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-kernsmooth”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑªlIºhEJ‚8 hFˆubh)”}”(hŒuc-micro-py”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&uc-micro-py-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 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==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ë33hEM„:hFˆubh)”}”(hŒr-googlecloudstorager”h#Œ0.7.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ1r-googlecloudstorager-0.7.0-r41hc72bb7e_0.tar.bz2”h+Œ 67dd0c2b986ae465c65b799d8e2daf11”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-googlecloudstorager-0.7.0-r41hc72bb7e_0.tar.bz2”h0Œ@1876adb0b6d00981c7327093c46a65e6d218d01640a8794bc6ef68f51e756551”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-googleauthr >=1.0.0”Œr-httr >=1.2.1”Œr-jsonlite >=1.0”Œ	r-openssl”Œr-yaml”Œr-zip >=2.0.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØnÏKÁûçhEJÝZ hFˆubh)”}”(hŒlibxi-cos6-x86_64”h#Œ1.7.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ,libxi-cos6-x86_64-1.7.8-hdf0574f_102.tar.bz2”h+Œ 4a7a991068c2ad82f7cea945a8325065”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libxi-cos6-x86_64-1.7.8-hdf0574f_102.tar.bz2”h0Œ@d8578154df51ed94d7af669c0ffbace24a47c65af7cb000da68cdeb8daa7ca18”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ê¤‹DhEM»€hFˆubh)”}”(hŒlibxcb-cos7-aarch64”h#Œ1.13”h%Œhdf0574f_102”h'Kfhhh(h)hŒ-libxcb-cos7-aarch64-1.13-hdf0574f_102.tar.bz2”h+Œ 7bf3bfdb268bfc330bccc34aa398f158”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-aarch64-1.13-hdf0574f_102.tar.bz2”h0Œ@48f0df831ba059efeeb466ebe0eaaa0ac3f6fb8bf7a614a428f136e908df0e36”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ÞÁë…hEJô· hFˆubh)”}”(hŒr-poiclaclu”h#Œ1.0.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-poiclaclu-1.0.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 5978331433374a801dc229d356220a25”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-poiclaclu-1.0.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@5ffb6c389a490d1f46fc58b0e7953522d0bc1a0ec8c5b64886f85c7496e130b5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ6[¼í‘hEJ]( hFˆubh)”}”(hŒpython-on-whales”h#Œ0.53.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,python-on-whales-0.53.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4cea20ef2c234e5e8c72c2ff9c7b04cc”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/python-on-whales-0.53.0-pyhd8ed1ab_0.tar.bz2”h0Œ@34c3868df9c02ceef80794e54b07bda35fc8c95a2977e27fb5ff59188b125155”h2NhNh3(Œpydantic”Œpython >=3.7,<4.0”Œrequests”Œtqdm”Œtyper >=0.4.1”Œtyping-extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØØŠµ‡hEMùhFˆubh)”}”(hŒr-vam”h#Œ1.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-vam-1.0.0-r40hc72bb7e_0.tar.bz2”h+Œ a16584b624099dc88f7e8413bb4add67”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vam-1.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@787eb55bdefca9850277f1f7951fdd2c3a05dad8cf88e5355dcc7bd1c00f1037”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØa«_¥ãThEJ¼Ë hFˆubh)”}”(hŒmemestra”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#memestra-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ de0a08903def672583ce2f3266af5ebb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/memestra-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6d2dafee229cd292be6ab1e39c0773882cef2dc368c8fe678b4e3a13cacbf986”h2NhNh3(Œbeniget”Œfrilouz 0.0.2”Œgast”Œ	nbconvert”Œnbformat”Œpython >=3.4.0”Œpyyaml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‚•áxÕhEMt@hFˆubh)”}”(hŒsix”h#Œ1.16.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒsix-1.16.0-pyh6c4a22f_0.tar.bz2”h+Œ e5f25f8dbc060e9a8d912e432202afc2”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2”h0Œ@a85c38227b446f42c5b90d9b642f2c0567880c15d72492d8da074a59c8f91dd6”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ$¹ô¦{hEM³7hFˆubh)”}”(hŒgcm_filters”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&gcm_filters-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 359d7781246fb5f8ccb68cda84db9753”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/gcm_filters-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f1240bf64aea7cbd9e34fa24999d763af1b56cc7efc476772d7f5ba9afa38ec9”h2NhNh3(Œdask”Œpython 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GPL (>= 2)”hBŒGPL3”hDGAØ’jfVhEJ1œ hFˆubh)”}”(hŒr-rprojroot”h#Œ2.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-rprojroot-2.0.3-r41hc72bb7e_1.tar.bz2”h+Œ 9f5f482d79c7854068a01945f400a3bf”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rprojroot-2.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@af398e0727d5b42322cb3307bec3312d9ac8392dffcf8719a058980592fb3948”h2NhNh3Œr-backports”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÐ.véyhEJ7Î hFˆubh)”}”(hŒr-ips”h#Œ0.0.11”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-ips-0.0.11-r41hc72bb7e_2.tar.bz2”h+Œ 420f87190fcf872effd872fa17b684f2”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ips-0.0.11-r41hc72bb7e_2.tar.bz2”h0Œ@b1683fefdecc62b0c030f0e1ed4f8dabd3dbe08dda28c5a57e255e0283a55fd5”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œ
r-phangorn”Œr-plyr”Œr-seqinr”Œr-xml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ`ãS…hEJ˜ hFˆubh)”}”(hŒrandomfiletree”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)randomfiletree-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 27fe621dd32fee057ef9b3c827ac44cd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/randomfiletree-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6645875203e5a96a55b009ca0cc4a6d76ff7583d03a429962de64c7046f3a3b1”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ&ˆ@*=qhEM1hFˆubh)”}”(hŒmesa-libegl-devel-cos6-x86_64”h#Œ11.0.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ:mesa-libegl-devel-cos6-x86_64-11.0.7-ha826a6f_1103.tar.bz2”h+Œ 781889f0e4e37d1300b9a575fe4a6ff7”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos6-x86_64-11.0.7-ha826a6f_1103.tar.bz2”h0Œ@618393ef965eaa1cc8552a57f57e6f61129252e6e5a9969af854abfa40eb866a”h2NhNh3Œ'mesa-libegl-cos6-x86_64 ==11.0.7 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1v·¾whEMtGhFˆubh)”}”(hŒlibglvnd-opengl-cos7-ppc64le”h#Œ1.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8libglvnd-opengl-cos7-ppc64le-1.0.1-h9b0a68f_1105.tar.bz2”h+Œ d553bd5690117a8142470ab5df18c7c9”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-opengl-cos7-ppc64le-1.0.1-h9b0a68f_1105.tar.bz2”h0Œ@8dc03db6354a5a5830d2a4361cd4456dd165ed6cd780d38ce4fab5c44bf3d5f2”h2NhNh3Œ$libglvnd-cos7-ppc64le ==1.0.1 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œ–¯ÎÙhEMÓ÷hFˆubh)”}”(hŒr-superheat”h#Œ0.1.0”h%Œr36_1001”h'Méhhh(h)hŒ"r-superheat-0.1.0-r36_1001.tar.bz2”h+Œ 7c53896ea82a77e8687643e70a64dde1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-superheat-0.1.0-r36_1001.tar.bz2”h0Œ@4e88312892bb71e5999cdda861494a845fe93a504c3a05aba55cf0c4b4f378a9”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr >=0.4.3”Œ
r-ggdendro”Œr-ggplot2 >=2.0.0”Œr-gtable >=0.1.2”Œr-magrittr >=1.5”Œr-plyr >=1.8.3”Œr-scales >=0.3.0”t”h9hºh@ŒCC0”hBŒOTHER”hDGA×L¢P³×
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python >=3”Œscipy”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×i/ZgKÇhEJ–+ hFˆubh)”}”(hŒ	r-ordpens”h#Œ1.0.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ%r-ordpens-1.0.0-r42h785f33e_1.tar.bz2”h+Œ af4f05e5c5aca909621b467bb74f07f0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ordpens-1.0.0-r42h785f33e_1.tar.bz2”h0Œ@0fec2272722120b0fefbfd0b423a628fcac10c5a1af8e21d4efca5b975bb4d88”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-glmpath”Œ
r-grplasso”Œr-mgcv”Œ
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GPL (>= 3)”hBŒGPL3”hDGA×­ÎLí‘hEJ2± hFˆubh)”}”(hŒprompt-toolkit”h#Œ3.0.29”h%Œpyha770c72_0”h'K hhh(h)hŒ*prompt-toolkit-3.0.29-pyha770c72_0.tar.bz2”h+Œ 9e720b57b22ef3032b4fb081697819dd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.29-pyha770c72_0.tar.bz2”h0Œ@3b80c72e179eb9be0ab4a2c91ed30b92e7d770a70e8072ed2ab53f0a317eb966”h2NhNh3Œpython >=3.6”Œwcwidth”†”h6Œprompt_toolkit 3.0.29”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ’ïäýôhEJŸñ hFˆubh)”}”(hŒbcdp”h#Œ0.1.5”h%Œpy_0”h'K hhh(h)hŒbcdp-0.1.5-py_0.tar.bz2”h+Œ fcb5bad15672df950df6a85f5f9f5781”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/bcdp-0.1.5-py_0.tar.bz2”h0Œ@85f56aee4c6c504a9ed57e3074a501c117d7e1c4df737198f2f1f3665b77ccba”h2NhNh3(Œcartopy”Œnetcdf4”Œpython >=3.6”Œrequests”Œxarray >=0.13.0”t”h9h?h@Œ
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r-processx”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ—Å
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r-denoiser”h#Œ1.0.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-denoiser-1.0.2-r36h6115d3f_1.tar.bz2”h+Œ da81468182fb75caaef84fd1e75b3fa7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-denoiser-1.0.2-r36h6115d3f_1.tar.bz2”h0Œ@2ddd3d980c371b944b4f57557a4cebf6a7e38f3e5e42eb457675f479da76fe26”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-factominer”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×´c´²-hEJªL hFˆubh)”}”(hŒxcb-util-keysyms-cos7-aarch64”h#Œ0.4.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ8xcb-util-keysyms-cos7-aarch64-0.4.0-h9b0a68f_105.tar.bz2”h+Œ b11addbc1eaa8e6a2b40a1664f4e7808”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-cos7-aarch64-0.4.0-h9b0a68f_105.tar.bz2”h0Œ@009c2c25f75ebd935743d0460db7acdfaae575d031907f0f369b26a7b49169ce”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@UÅ«33hEM2hFˆubh)”}”(hŒr-survivalsvm”h#Œ0.0.5”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-survivalsvm-0.0.5-r40h6115d3f_1.tar.bz2”h+Œ f81a2b8e226453c81359ea99d270571b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survivalsvm-0.0.5-r40h6115d3f_1.tar.bz2”h0Œ@a8517f581a18b67770289cd60708032b0053474502c2fde98dd2019da4a771e1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-hmisc”Œ	r-kernlab”Œr-matrix”Œr-pracma”Œ
r-quadprog”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯ÊB¬hEJþ¸ hFˆubh)”}”(hŒlibxfixes-devel-cos7-aarch64”h#Œ5.0.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7libxfixes-devel-cos7-aarch64-5.0.3-h9d98e8f_104.tar.bz2”h+Œ f6e9c1b5018cc471f4e4c42aad544029”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-aarch64-5.0.3-h9d98e8f_104.tar.bz2”h0Œ@278ebd19911bf89427c787816ca8db6024c1ad3c01ff3c7f338c36bbe4e0439d”h2NhNh3Œ$libxfixes-cos7-aarch64 ==5.0.3 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}M|¬hEMô%hFˆubh)”}”(hŒr-genalg”h#Œ0.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-genalg-0.2.1-r40hc72bb7e_0.tar.bz2”h+Œ 73135fe88b27bdde88460d66fca6d83e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-genalg-0.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@540b48cdd21cd8e74021b7a3525b30ca4ff182d5d3b09a08d69b3d37958cd2e6”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ’Ý¼¼jhEMÒhFˆubh)”}”(hŒgflex”h#Œ1.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ gflex-1.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ 1ccf79c12864bdcc52241b110d3d263a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/gflex-1.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@071841596cdebb548c39d5d390f191aa94d627481b9cbbb893207697a6dd46cc”h2NhNh3Œ
matplotlib”Œpython”Œscipy”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL3”hDGA×ã˜„Ô1hEMg²hFˆubh)”}”(hŒnapari-deepspot”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*napari-deepspot-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 28410f5f7c041c8f580bb59fae6cc7d9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/napari-deepspot-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@91244f5771b3d1a5e3eb318b02efa20687fa4ee05f772925e9a5ca6913d097de”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œopencv”Œpython >=3.7”Œqtpy >=1.9.0”Œscikit-image”Œ
tensorflow”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ…2€£×hEJaØxhFˆubh)”}”(hŒadl2pydm”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#adl2pydm-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 875d718271739318c26deda19550b3df”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/adl2pydm-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@7133d8ca2a5111e9fb33d6aba079e726439a9bac5d60539baa120c6ce4588bb4”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-4-Clause”hDGAØ¿®â]`BhEM¤“hFˆubh)”}”(hŒtypes-pyyaml”h#Œ5.4.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(types-pyyaml-5.4.12-pyhd8ed1ab_0.tar.bz2”h+Œ efd73a6664edb11d09c52fb05356f0bf”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/types-pyyaml-5.4.12-pyhd8ed1ab_0.tar.bz2”h0Œ@1c56aed223ce6f6b35e31e18b3d44d8ca3a9980ba745710516084a5a3c7d60e6”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØZ@•ë33hEMÐGhFˆubh)”}”(hŒlibxfixes-cos7-x86_64”h#Œ5.0.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ1libxfixes-cos7-x86_64-5.0.3-ha826a6f_1103.tar.bz2”h+Œ 9f0fe700c3f8f0f1d4f8543e895c78f3”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxfixes-cos7-x86_64-5.0.3-ha826a6f_1103.tar.bz2”h0Œ@c2d5c37f527bab9884806b2f9f4698bd48ce5c4ee73d3377fca0327883c39911”h2NhNh3Œlibx11-cos7-x86_64 >=1.6 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2]òñªhEMÜ=hFˆubh)”}”(hŒr-dotwhisker”h#Œ0.7.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-dotwhisker-0.7.4-r41hc72bb7e_1.tar.bz2”h+Œ 6fcfb974ff6c1eb6e85e75c6c700f719”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dotwhisker-0.7.4-r41hc72bb7e_1.tar.bz2”h0Œ@31ec4b7bbb258a5685ae06d22fa7f9a2bdc716488277bc4d3de5d03a134def62”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broomextra”Œr-dplyr”Œr-ggplot2 >=2.2.1”Œ
r-ggstance”Œr-gtable”Œ	r-margins”Œr-purrr”Œr-rlang”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ…ë bNhEJàA hFˆubh)”}”(hŒr-postlogic”h#Œ0.1.0.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-postlogic-0.1.0.1-r41hc72bb7e_2.tar.bz2”h+Œ 14c335b00a9ddac4bb015390a146d66b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-postlogic-0.1.0.1-r41hc72bb7e_2.tar.bz2”h0Œ@1d2a614bd6eb3fdea2b9b7267bda41d133fa6335b2f4d2972ca3e49bc4c806cd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑáˆ  hEM«hhFˆubh)”}”(hŒlibxi-cos6-x86_64”h#Œ1.7.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ-libxi-cos6-x86_64-1.7.8-hdf0574f_1102.tar.bz2”h+Œ 9f502cb7afc5db27b059d424fe5cbab1”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos6-x86_64-1.7.8-hdf0574f_1102.tar.bz2”h0Œ@209354d1f1f9ec796ef2e9ac90c42521f0091ad8ce7129c576b91e875b580517”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ'›C–hEMØ€hFˆubh)”}”(hŒlibsepol-cos6-x86_64”h#Œ2.0.41”h%Œha826a6f_1103”h'MOhhh(h)hŒ1libsepol-cos6-x86_64-2.0.41-ha826a6f_1103.tar.bz2”h+Œ 9e5cd75fcbaaea5c343bb2d107597564”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsepol-cos6-x86_64-2.0.41-ha826a6f_1103.tar.bz2”h0Œ@af767123425f70e7ffdbecf8e9e4c3d55949379863fffba832c3d187811d2c50”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/Øó¶hEJÇ hFˆubh)”}”(hŒr-rcmdcheck”h#Œ1.4.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ'r-rcmdcheck-1.4.0-r41h785f33e_0.tar.bz2”h+Œ 6acc4a09ed8732f888a353be7d1f9a8e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rcmdcheck-1.4.0-r41h785f33e_0.tar.bz2”h0Œ@37af7de14e20ac4e995a0a82fb5836fd9803575d5140c82ce2891eb06f6d5d00”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr >=3.1.1.9000”Œr-cli >=3.0.0”Œr-curl”Œr-desc >=1.2.0”Œr-digest”Œ
r-pkgbuild”Œr-prettyunits”Œr-r6”Œr-rprojroot”Œr-sessioninfo >=1.1.1”Œr-withr”Œr-xopen”t”h9hºh@ŒMIT”hBŒMIT”hDGAØT„MMÓhEJj¹ hFˆubh)”}”(hŒpytest-chalice”h#Œ0.0.5”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)pytest-chalice-0.0.5-pyhd8ed1ab_1.tar.bz2”h+Œ 0f16fa3ded759c9b3423d5bbd9ada837”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytest-chalice-0.0.5-pyhd8ed1ab_1.tar.bz2”h0Œ@64ff84a3695d293adcee671982c45bcece364bf4d4dc49ae00c1fe9e0e5214a1”h2NhNh3Œchalice”Œpytest”Œpython >=3.5”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ;ÓÁß;hEMf$hFˆubh)”}”(hŒflask-smorest”h#Œ0.32.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)flask-smorest-0.32.0-pyhd8ed1ab_0.tar.bz2”h+Œ f448012b4a7854555b364349a350d1c6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/flask-smorest-0.32.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d84b5ee9705c855f6e4f86065e86ef9dc837102869e4ab685f9f0d9d4cf14fab”h2NhNh3(Œapispec >=5”Œ	flask >=2”Œmarshmallow >=3.13”Œ
python >=3”Œwebargs >=8”Œwerkzeug >=2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØAïCÖ¸RhEMVfhFˆubh)”}”(hŒpyfftlog”h#Œ0.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#pyfftlog-0.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ 27b75b8e6b3cc782a6ccbaab930913e1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pyfftlog-0.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@801de892838c85fdaae5ef527ec07b3335e2c680e0269abaa66f8ca38e6227f3”h2NhNh3Œpython”Œscipy”†”h9h?h@ŒCC0-1.0”hBŒCC”hDGA×°÷:\hEMÚ@hFˆubh)”}”(hŒr-chemometricswithr”h#Œ0.1.13”h%Œr36h6115d3f_2”h'Khhh(h)hŒ0r-chemometricswithr-0.1.13-r36h6115d3f_2.tar.bz2”h+Œ 0af94fbd062b8a1b1dd3b1a050caaa67”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-chemometricswithr-0.1.13-r36h6115d3f_2.tar.bz2”h0Œ@1de219dea71ca2d57f8e402accb35f765db0ea75faf644dd8128c1814927d42c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-devtools”Œ	r-kohonen”Œr-mass”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ö÷•¡ËhEJ^j hFˆubh)”}”(hŒr-rcmdrmisc”h#Œ2.7_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-rcmdrmisc-2.7_2-r41hc72bb7e_1.tar.bz2”h+Œ f33cc232137d56b66f89067f8be85a22”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rcmdrmisc-2.7_2-r41hc72bb7e_1.tar.bz2”h0Œ@dc897f5042429486eb91f401744292b562c1a759ca710e1f2a8823ec7432ee8a”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-car >=3.0_0”Œr-colorspace”Œr-e1071”Œ	r-foreign”Œr-haven”Œr-hmisc >=4.1_0”Œr-mass”Œ	r-nortest”Œr-readstata13”Œr-readxl”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓY›ÔþhEJšŒ hFˆubh)”}”(hŒr-tframe”h#Œ2015.12_1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-tframe-2015.12_1.1-r41hc72bb7e_1.tar.bz2”h+Œ 65b9fc64a921a3ac2887250f1b62b71e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-tframe-2015.12_1.1-r41hc72bb7e_1.tar.bz2”h0Œ@237ed19272a9cdd10a8712e3be83559147827aeee3cff7de87e86be633663d4e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ
²n—hEJ1Q hFˆubh)”}”(hŒr-gbrd”h#Œ0.4_11”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ&r-gbrd-0.4_11-r40hc72bb7e_1002.tar.bz2”h+Œ 169badbf3eeff658e0624b25357fa445”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gbrd-0.4_11-r40hc72bb7e_1002.tar.bz2”h0Œ@e64c27b38eb6c43202125de96e37866ddd9cd3029e899347c045e34cdf642f83”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*Ý‰Õó¶hEM¥ÜhFˆubh)”}”(hŒlibxcursor-devel-cos7-x86_64”h#Œ1.1.15”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxcursor-devel-cos7-x86_64-1.1.15-ha826a6f_1103.tar.bz2”h+Œ e45233f82d2c5173aa01a34073ea74e4”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos7-x86_64-1.1.15-ha826a6f_1103.tar.bz2”h0Œ@b3cd6511f6515b680326f0d9931293b42f3fd0713b6c02e745816847c70a8e3b”h2NhNh3Œ&libxcursor-cos7-x86_64 ==1.1.15 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2•ÐƒhEMË9hFˆubh)”}”(hŒ	r-scholar”h#Œ0.2.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-scholar-0.2.4-r41hc72bb7e_1.tar.bz2”h+Œ 08fe529ffb903e4a507f61a167e27c54”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-scholar-0.2.4-r41hc72bb7e_1.tar.bz2”h0Œ@2691325ff55e7b30681dc3e1d6d5d46a0694b5c766d80767033e3202a76fa71a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-ggraph”Œr-httr”Œ	r-r.cache”Œr-rvest”Œ	r-stringr”Œr-tidygraph”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒùö•VhEJþB hFˆubh)”}”(hŒfreetype-devel-cos7-ppc64le”h#Œ2.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4freetype-devel-cos7-ppc64le-2.8-hdf0574f_102.tar.bz2”h+Œ b7d93cf9857c27cb26869f6d48ec048b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos7-ppc64le-2.8-hdf0574f_102.tar.bz2”h0Œ@fd04e141f4d5eb86eda3e68ae5f3b960d820e048d9633cbd1cceaeda1c100c5d”h2NhNh3Œ!freetype-cos7-ppc64le ==2.8 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×ÅigƒhEJQ hFˆubh)”}”(hŒlibibverbs-cos7-x86_64”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libibverbs-cos7-x86_64-22.4-h9d98e8f_1104.tar.bz2”h+Œ 51bfa71b7892bec4119485042e5a3445”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-x86_64-22.4-h9d98e8f_1104.tar.bz2”h0Œ@b4b27ca1969f5bc0eed3658326b9eee4205388b53511483317f8ad143d0da1c4”h2NhNh3Œ#rdma-core-cos7-x86_64 ==22.4 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É{Âc×
hEJ«n hFˆubh)”}”(hŒpython-editor”h#Œ1.0.4”h%Œpy_0”h'K hhh(h)hŒ python-editor-1.0.4-py_0.tar.bz2”h+Œ eaaf29a0644f9407f98a4665f45880c4”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/python-editor-1.0.4-py_0.tar.bz2”h0Œ@a6db88da69a27451d2eba675c445bdefd2dbea52ea02a0a214d5fd4f0af31740”h2NhNh3Œpython”…”h9h?h@Œ
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r-ldrtools”h#Œ0.2_1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-ldrtools-0.2_1-r36h6115d3f_0.tar.bz2”h+Œ b60b04e708f3f18030d591e913a1f751”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ldrtools-0.2_1-r36h6115d3f_0.tar.bz2”h0Œ@ab5d55faa776abfe14ec78ebec5e2b8bc3e56bbbda53b67305e674f6c938ada9”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
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r-shinysky”h#Œ2.0.0”h%Œr35_1001”h'Méhhh(h)hŒ!r-shinysky-2.0.0-r35_1001.tar.bz2”h+Œ 2ad0393075766ff48fbd604d0b7236d7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-shinysky-2.0.0-r35_1001.tar.bz2”h0Œ@7aa5e8d91fc7a8aa6a41ee7e0bd66d7e1e3dca794e72df11cf5537ee2a4ae319”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-plyr”Œ	r-rjsonio”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGA×L«ÖŸ hEJÌ¨ hFˆubh)”}”(hŒ
r-sylly.en”h#Œ0.1_3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-sylly.en-0.1_3-r35h6115d3f_0.tar.bz2”h+Œ 383d1a13d3de9e2580ed93c50f46bafc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sylly.en-0.1_3-r35h6115d3f_0.tar.bz2”h0Œ@4858d5658fec667f824cec94b1402b9bcd953a2908449cacb04e7252d342aa0c”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-sylly”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×TLÃôí‘hEJ}ˆ hFˆubh)”}”(hŒrb-jekyll-seo-tag”h#Œ2.6.1”h%Œ
hc42de5b_1”h'Khhh(h)hŒ*rb-jekyll-seo-tag-2.6.1-hc42de5b_1.tar.bz2”h+Œ 91da1c3aa2df85c6415cec13866dbb72”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-seo-tag-2.6.1-hc42de5b_1.tar.bz2”h0Œ@2c5d99bf88b6b4974c78434f2ae9aba77fb703ba208a76a0416c60e6933692de”h2NhNh3Œrb-jekyll >=3.3,<5.0”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[	'9XhEMNhFˆubh)”}”(hŒswepy”h#Œ1.9.4”h%Œpy_0”h'K hhh(h)hŒswepy-1.9.4-py_0.tar.bz2”h+Œ 9c755303771843c662f87e1653948267”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/swepy-1.9.4-py_0.tar.bz2”h0Œ@b5e16a191f3d70ca62128a927584dc1a8815cca7fc255432acb9818e0b382779”h2NhNh3(Œaffine”Œfsspec”Œgdal”Œjenkspy”Œmapboxgl”Œ
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sat-search”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒsat-search-0.3.0-py_0.tar.bz2”h+Œ 558f7977ea1adba7170d15a55babc86c”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/sat-search-0.3.0-py_0.tar.bz2”h0Œ@7b8a3907e8145b21964719ecfc00f4d269bd099a44b693ef28c4a289a2cafaeb”h2NhNh3Œ
python >=3”Œsat-stac >=0.4.0,<0.5”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Ð¯/+hEMQ0hFˆubh)”}”(hŒpdb2pqr_htmd_propka30”h#Œ0.0.4”h%Œpy_0”h'K hhh(h)hŒ(pdb2pqr_htmd_propka30-0.0.4-py_0.tar.bz2”h+Œ 7f3bb61c0b45d4f115d4599ad583d287”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pdb2pqr_htmd_propka30-0.0.4-py_0.tar.bz2”h0Œ@058202d7fb857d8d3685acfcdaa710ffece2c9869446c153bee616a563653e2a”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÚÚá¾5?hEJ%Y hFˆubh)”}”(hŒdjangorestframework”h#Œ3.12.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/djangorestframework-3.12.4-pyhd8ed1ab_0.tar.bz2”h+Œ e6572413a0e590e216f5ec324ee1883d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/djangorestframework-3.12.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e58449a538954a63ebe45869ce9ed1218f6a1723c747ce4827bdcfa97094d33a”h2NhNh3Œdjango >=2.2”Œpython >=3.5”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØq%VhEJ
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r-lmertest”h#Œ3.1_3”h%Œr40h142f84f_0”h'K hhh(h)hŒ&r-lmertest-3.1_3-r40h142f84f_0.tar.bz2”h+Œ ff0ac2f81f1a8dc13c8d48a61013509b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lmertest-3.1_3-r40h142f84f_0.tar.bz2”h0Œ@57536a44ffeb15f4a7e6fa9ec80d83e5822ed2e22d366826880dda24fd959134”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-lme4 >=1.1_10”Œr-mass”Œ
r-numderiv”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ä·ëñ%hEJ’€ hFˆubh)”}”(hŒr-kpeaks”h#Œ1.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-kpeaks-1.1.0-r36h6115d3f_0.tar.bz2”h+Œ de23ec1caf71ee91ffda69f1a8064e72”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-kpeaks-1.1.0-r36h6115d3f_0.tar.bz2”h0Œ@f38bd437d12504a4068fc528c4850d7f2d5114c18a9914db90cff7d94a8bc7c5”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¿èbNhEJ‹c hFˆubh)”}”(hŒ
mmcif_pdbx”h#Œ2.0.0”h%Œpyh44b312d_0”h'K hhh(h)hŒ%mmcif_pdbx-2.0.0-pyh44b312d_0.tar.bz2”h+Œ a4f3ac821fdf8a073dfe456f729c7f06”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mmcif_pdbx-2.0.0-pyh44b312d_0.tar.bz2”h0Œ@d6a3fc910af6594b43820672e98d0026bc161b900baf96a359bb832d5495269a”h2NhNh3Œpython”…”h9h?h@ŒCC0”hBŒPUBLIC-DOMAIN”hDGAØRÊ¿|îhEM^hFˆubh)”}”(hŒlibglvnd-egl-cos7-ppc64le”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libglvnd-egl-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h+Œ 0be8835526e161d14ac47e6b169c59fd”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-egl-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@d052d22c36c04ca2bfdb8651b73ff71d0c87e3bdd893b83126b6a16d3cc6829c”h2NhNh3Œ#libglvnd-cos7-ppc64le ==1.0.1 *_105”Œ'mesa-libegl-cos7-ppc64le >=13.0.4 *_105”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@³ñÛ#hEM¼ÚhFˆubh)”}”(hŒcibots”h#Œ0.3”h%Œpyhd8ed1ab_1003”h'Mëhhh(h)hŒ"cibots-0.3-pyhd8ed1ab_1003.tar.bz2”h+Œ 24a6339130c0739a27a45c41022fd642”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cibots-0.3-pyhd8ed1ab_1003.tar.bz2”h0Œ@f81d3c5c079e39b1926ba0e4b7f45b18c343111918fd207f9aec781f505cd647”h2NhNh3Œpython >=3.6”Œrequests”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØeW6ÜzáhEM`-hFˆubh)”}”(hŒ	playsound”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$playsound-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 67e02d94f6d2d193c3f33bee6e961336”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/playsound-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0a932566e018c3189b7fa4dd8ad0b81c97d46b06f6a1de2e197fecdf7293ed0f”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ»Z‚$1hEMë,hFˆubh)”}”(hŒr-slim”h#Œ0.1.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ%r-slim-0.1.1-r41hc72bb7e_1002.tar.bz2”h+Œ d1300f8cd5bdf8df23e7d50425364f42”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-slim-0.1.1-r41hc72bb7e_1002.tar.bz2”h0Œ@20acaec8cca83197327a00ac711d2f5b14b74e2bcf953d7cb84e26d3476a8c27”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.9.6”Œr-mass >=7.3”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+M5/hEJ~T hFˆubh)”}”(hŒr-oai”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ!r-oai-0.4.0-r42hc72bb7e_0.tar.bz2”h+Œ db3b9b980f6ab5b346086eec5f1bcd03”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-oai-0.4.0-r42hc72bb7e_0.tar.bz2”h0Œ@ea04397de621cfc73341f61ca808ba9ee7152d1e6589bea07ba99beda0035a81”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr >=1.2.0”Œr-plyr >=1.8.4”Œr-stringr >=1.1.0”Œr-tibble >=1.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÛVç
=hEJà¥ hFˆubh)”}”(hŒlibxrandr-devel-cos7-aarch64”h#Œ1.5.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8libxrandr-devel-cos7-aarch64-1.5.1-hdf0574f_1102.tar.bz2”h+Œ 12e2541a76321163fca42561d6a93c36”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos7-aarch64-1.5.1-hdf0574f_1102.tar.bz2”h0Œ@baec2aacb5d8ec1ea57edc971ba40ab88551c0e9cf4de05fad0a6bb713ffa3e4”h2NhNh3Œ%libxrandr-cos7-aarch64 ==1.5.1 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ2ÜýôhEMG:hFˆubh)”}”(hŒrocksdbdict”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&rocksdbdict-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ be86d5708c8f3075bb333d0fc327f55b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/rocksdbdict-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@46ff2b58a704000a8a65e9ac0d1143100bcfc1fbe0036141feb95a5445463b22”h2NhNh3Œpython >=3.7”Œpython-rocksdb >=0.7.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ‡’,z=qhEM°hFˆubh)”}”(hŒ
r-conicfit”h#Œ1.0.4”h%Œr40_1002”h'Mêhhh(h)hŒ!r-conicfit-1.0.4-r40_1002.tar.bz2”h+Œ 2da6978543515612a8dc28454b4072da”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-conicfit-1.0.4-r40_1002.tar.bz2”h0Œ@65841ec3e609abf19f113e4a6d2d3bde16ae6539ea77b82800df3bea84f68e54”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-geigen”Œr-pracma”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬ë¯;dhEJµ hFˆubh)”}”(hŒ	r-debugme”h#Œ1.1.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-debugme-1.1.0-r41hc72bb7e_1003.tar.bz2”h+Œ 2e8983fa5b13a78675d902573c344ea5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-debugme-1.1.0-r41hc72bb7e_1003.tar.bz2”h0Œ@5651f6f0fd7e1451c348b0e092890d3779a2f82de660d683c637b7598feba919”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-crayon”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ*úHJ~úhEJºÅ hFˆubh)”}”(hŒr-downscaler”h#Œ3.3.3”h%Œr36ha770c72_0”h'K hhh(h)hŒ(r-downscaler-3.3.3-r36ha770c72_0.tar.bz2”h+Œ 0b9101f7b23aaa2700b777e9a9b56007”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-downscaler-3.3.3-r36ha770c72_0.tar.bz2”h0Œ@93e88aa41bbdbb48d06758945813a581ff161daa3635e5211cf6b72d3845c5b5”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œ	r-deepnet”Œr-evd”Œr-fields”Œr-glmnet”Œ
r-magrittr”Œr-mass”Œr-rcurl”Œr-reticulate”Œr-sticky”Œr-transformer >=2.0.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡Ö}ˆ£×hEJ\
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Apache-2.0”hBŒAPACHE”hDGAØÐ}¨‘G®hEMTchFˆubh)”}”(hŒcxroots”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cxroots-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1444e9e966a921fc92c69e7e061a2374”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cxroots-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@aaa7696e46fc645fd658650fadb75d1b07b420b18a4efaac7c84d3a47d71cf53”h2NhNh3(Œmpmath”Œnumdifftools >=0.9.39”Œnumpy”Œnumpydoc”Œpython >=3.6”Œrich”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÀãDOÎÙhEM¬ hFˆubh)”}”(hŒlibibumad-devel-cos6-x86_64”h#Œ1.3.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ7libibumad-devel-cos6-x86_64-1.3.9-ha826a6f_1103.tar.bz2”h+Œ 93fcbbf1719366cc7c17bcb132011223”•      h.Œehttps://conda.anaconda.org/conda-forge/noarch/libibumad-devel-cos6-x86_64-1.3.9-ha826a6f_1103.tar.bz2”h0Œ@a4ec013dedf913920467c906163414de3ce353d34527613d14eea07427a19b18”h2NhNh3Œ$libibumad-cos6-x86_64 ==1.3.9 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,Ë*^5hEM¢=hFˆubh)”}”(hŒkmod-cos7-x86_64”h#Œ20”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ)kmod-cos7-x86_64-20-h9d98e8f_1104.tar.bz2”h+Œ 01c102f01683861894b982a092b8c2c4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/kmod-cos7-x86_64-20-h9d98e8f_1104.tar.bz2”h0Œ@55de85ac68012a03c91ccc27356a2ab8714aae97c4ae2185deec0a61b3720de0”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Ø™EZñªhEJ"ç hFˆubh)”}”(hŒalsa-lib-devel-cos7-x86_64”h#Œ1.1.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6alsa-lib-devel-cos7-x86_64-1.1.8-h9b0a68f_1105.tar.bz2”h+Œ a474fccd509462d763b25ea242a0b964”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/alsa-lib-devel-cos7-x86_64-1.1.8-h9b0a68f_1105.tar.bz2”h0Œ@b8e7e0fd58473c68050b9d123c176a851736f25520af2447e36a7c745f00084f”h2NhNh3Œ#alsa-lib-cos7-x86_64 ==1.1.8 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@j
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r-flexplot”h#Œ0.7.4”h%Œr41ha770c72_1”h'Khhh(h)hŒ&r-flexplot-0.7.4-r41ha770c72_1.tar.bz2”h+Œ 070994fd267b7c34c5440a980742eabf”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-flexplot-0.7.4-r41ha770c72_1.tar.bz2”h0Œ@6d85cd2f5daba6a987456bee35de8076c6c9c0d125bf20823ed2dae758ee5f2c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-ggsci”Œr-lme4”Œ
r-magrittr”Œr-mass”Œr-party”Œr-plyr”Œr-purrr”Œr-r6”Œr-tibble”Œr-withr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØÓaýôhEJk—3 hFˆubh)”}”(hŒgraphene-tornado”h#Œ2.6.1”h%Œpy_0”h'K hhh(h)hŒ#graphene-tornado-2.6.1-py_0.tar.bz2”h+Œ b5e7d1edc25ae97812b01afb4582d655”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/graphene-tornado-2.6.1-py_0.tar.bz2”h0Œ@b844a1bde263b63994414c7aa76d983caf2c4618f070c5d79e293b5bd524b5fe”h2NhNh3(Œgraphene >=2.1,<3”Œjinja2 >=2.10.1”Œpython >=3.6”Œsix >=1.10.0”Œtornado >=5.1.0”Œwerkzeug 0.12.2”t”h9h?h@ŒMIT”hBŒMIT”hDGA×’,­U?}hEM¤šhFˆubh)”}”(hŒpytypes”h#Œ1.0b10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pytypes-1.0b10-pyhd8ed1ab_0.tar.bz2”h+Œ 5dffc49a31392e48917b7b72df81d961”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pytypes-1.0b10-pyhd8ed1ab_0.tar.bz2”h0Œ@b2524a27a861458cc8e0a87b6c6f2d90387206714eb20e33e2c5788e5b353c1f”h2NhNh3Œpython >=3.5,<3.9”Œtyping”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØoçôz~úhEJ hFˆubh)”}”(hŒansi”h#Œ0.3.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒansi-0.3.6-pyhd8ed1ab_0.tar.bz2”h+Œ add5ed1bc5585306010255f3ff4604f3”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ansi-0.3.6-pyhd8ed1ab_0.tar.bz2”h0Œ@1831ffd396f5089ff7081865a3a0a9f989264ffa18b761974c090c533db0597c”h2NhNh3Œpython >=3.6”Œtyping-extensions >=3.6.4”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ§Ô°  hEM,hFˆubh)”}”(hŒpython-relion”h#Œ0.10.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*python-relion-0.10.12-pyhd8ed1ab_0.tar.bz2”h+Œ 7b912fabff8bedbf856b47eefdde56ef”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/python-relion-0.10.12-pyhd8ed1ab_0.tar.bz2”h0Œ@757e8bf3ead46feb0a98482b606220659f65a03d07322560635d88e98339343a”h2NhNh3(Œgemmi”Œispyb”Œmatplotlib-base”Œmrcfile”Œnumpy”Œpandas”Œpillow”Œplotly”Œpython >=3.8”Œpyyaml”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØµ`dåhEJ¡b hFˆubh)”}”(hŒmesa-khr-devel-cos7-aarch64”h#Œ18.3.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7mesa-khr-devel-cos7-aarch64-18.3.4-h9d98e8f_104.tar.bz2”h+Œ 4805d81fab4524305f6e5b75bbf3e2b6”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-aarch64-18.3.4-h9d98e8f_104.tar.bz2”h0Œ@262ecb3664bda0d43cf0c2b57851b05441ee377f6a0b57419d03deeee0405b7d”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy¥Z^5hEMûhFˆubh)”}”(hŒr-ic10trainingdata”h#Œ1.3.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ1r-ic10trainingdata-1.3.1-r40h6115d3f_1002.tar.bz2”h+Œ ad34d3ef8ab5447f63d795b91c363df4”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-ic10trainingdata-1.3.1-r40h6115d3f_1002.tar.bz2”h0Œ@4e067616770787680320bc021f3ecc250e17511f80631d64a54fbab1c3bb532a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬¹Î¸hEJæªa hFˆubh)”}”(hŒreindent”h#Œ3.5.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#reindent-3.5.1-pyh9f0ad1d_0.tar.bz2”h+Œ bd6a6868ec19820fd3bb2a81064a81f5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/reindent-3.5.1-pyh9f0ad1d_0.tar.bz2”h0Œ@8d322a3406b147056d5c108bc74f72d485c87b1bc30d3e23232d14b8cba033df”h2NhNh3Œpython”…”h9h?h@ŒPublic Domain”hBŒPUBLIC-DOMAIN”hDGA×á FK33hEMÁ%hFˆubh)”}”(hŒ	r-metstat”h#Œ1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ#r-metstat-1.0-r36h6115d3f_1.tar.bz2”h+Œ bca99c04821a4763fb9eab736a183f98”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metstat-1.0-r36h6115d3f_1.tar.bz2”h0Œ@f9d75fe1d1697e506b2f286c944d15be95fbc1c87e5ababbc3d9ac8400df1754”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-pls”t”h9hºh@ŒApache (== 2.0)”hBŒAPACHE”hDGA×¬«§Í‘hhEJé5 hFˆubh)”}”(hŒdatamodeldict”h#Œ0.9.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(datamodeldict-0.9.9-pyhd8ed1ab_0.tar.bz2”h+Œ ae67c75bab318141afb514ee5dbf44c2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/datamodeldict-0.9.9-pyhd8ed1ab_0.tar.bz2”h0Œ@0fd51490114b1e5dedca03d2491172ecd6a3171974e2bbc1c23345ad9242036e”h2NhNh3Œpip”Œpython >=3.6”Œ	xmltodict”‡”h9h?h@ŒOTHER”hBŒOTHER”hDGAØƒ¤îªMÓhEMäEhFˆubh)”}”(hŒr-ggpval”h#Œ0.2.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ggpval-0.2.5-r41hc72bb7e_0.tar.bz2”h+Œ f2cbf8a1d1ea74a705ce3b140ea0d26a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggpval-0.2.5-r41hc72bb7e_0.tar.bz2”h0Œ@3e25c81d201c09abbb0c447cc024edae7292f3be22ee3b073f775f6075f9f6cd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ³5ÀÏ¾whEJú hFˆubh)”}”(hŒr-assertive.models”h#Œ0.0_2”h%Œr35h6115d3f_1”h'Khhh(h)hŒ.r-assertive.models-0.0_2-r35h6115d3f_1.tar.bz2”h+Œ fbe3e262d660fd6e451c52336731b63e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-assertive.models-0.0_2-r35h6115d3f_1.tar.bz2”h0Œ@902ddbf15f7bbe09fcb06f376132e8d7df9be63be2e22bff662a581a0a001eb2”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.5,<3.6.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LWm½²-hEMühFˆubh)”}”(hŒgeoparse”h#Œ2.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#geoparse-2.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 8d60d0c7dd8d8e5257028f5301f53373”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geoparse-2.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@03af727e4833694125d434dbcaf86bb335218101f7c2c3ba5b360c74e602122e”h2NhNh3(Œnumpy >=1.7”Œpandas >=0.17”Œpython >=3.6”Œrequests >=2.21.0”Œtqdm >=4.31.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØjšXÎ{hEMêmhFˆubh)”}”(hŒazure-mgmt-marketplaceordering”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒ1azure-mgmt-marketplaceordering-0.2.1-py_0.tar.bz2”h+Œ 73421635a96abe6e9afaa686d218a720”h.Œ_https://conda.anaconda.org/conda-forge/noarch/azure-mgmt-marketplaceordering-0.2.1-py_0.tar.bz2”h0Œ@45cb1bec9276ebe1a734a5130234f78e636522f69caaa5f5db17b1d5908637e1”h2NhNh3(Œazure-common >=1.1,<2.0”Œmsrest >=0.5.0”Œmsrestazure >=0.4.32,<2.0.0”Œpython >3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯ZTó•hEMŠ:hFˆubh)”}”(hŒmesa-libgl-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3mesa-libgl-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h+Œ 33c2c9fd8d522de18664e1ab3f7031a9”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@7a7d9f84b26e7fe8c73a134feb5ebf44f34dff0540f8a2075598ccf42fa8a9df”h2NhNh3Œ"libdrm-cos7-ppc64le >=2.4.83 *_105”Œ'libglvnd-glx-cos7-ppc64le >=1.0.1 *_105”Œ)mesa-libglapi-cos7-ppc64le ==18.3.4 *_105”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Ž=dZhEJ~õ hFˆubh)”}”(hŒr-metbrewer”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-metbrewer-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ de18a852629817ab8064fe0bc87d4317”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metbrewer-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@399ba0768f2129fddc1cf44b7013754d73d14d365ce877469afdd5f522739043”h2NhNh3Œr-base 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301a67b9fb678ffa28679f9c6ebf69f6”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-tkrgl-0.9-r41hc72bb7e_2.tar.bz2”h0Œ@3a37a016cb09376a90b76171a6493fca20e777ab2a2f67f6cd37372b6f843eb4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rgl >=0.100.38”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑEÚ6VhEM8qhFˆubh)”}”(hŒ	r-mapview”h#Œ2.11.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-mapview-2.11.0-r41hc72bb7e_0.tar.bz2”h+Œ a75132afcdaec9ebc64eff7a60763160”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mapview-2.11.0-r41hc72bb7e_0.tar.bz2”h0Œ@c3a5dcb903fa8ec6c6e4fe005b15de6ecdb191848ff7eb274e443890201252a1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-htmltools”Œr-htmlwidgets”Œ	r-lattice”Œr-leafem”Œr-leaflet >=2.0.0”Œ	r-leafpop”Œr-png”Œr-raster”Œr-satellite”Œr-scales >=0.2.5”Œr-servr”Œr-sf”Œr-sp”Œ	r-webshot”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ–Ý¡ôÌÍhEJÀø$ hFˆubh)”}”(hŒr-gamm4”h#Œ0.2_6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-gamm4-0.2_6-r41hc72bb7e_1.tar.bz2”h+Œ 141053caf834490f46ca5fa528ffe915”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gamm4-0.2_6-r41hc72bb7e_1.tar.bz2”h0Œ@76c03d685dae8d26946f3ee0ac08ae89269c6333b0dc7c16d7971b524cf17151”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-lme4 >=0.999375_31”Œr-matrix”Œr-mgcv >=1.7_23”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+<&0“uhEJh hFˆubh)”}”(hŒgooglesearch”h#Œ3.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'googlesearch-3.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ 91750655a246e69443b81cd7a91de82f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/googlesearch-3.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@514600e7093b4c7d00c293606de678ea114e0ec438a5a35961a74cf65ff3f1c1”h2NhNh3Œbeautifulsoup4”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Â{ÿ€ÔþhEMˆÁhFˆubh)”}”(hŒpixman-cos7-ppc64le”h#Œ0.34.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0pixman-cos7-ppc64le-0.34.0-h9d98e8f_1104.tar.bz2”h+Œ 9efd1e07d68cbd9bba68ea8c913a17d3”h.Œ^https://conda.anaconda.org/conda-forge/noarch/pixman-cos7-ppc64le-0.34.0-h9d98e8f_1104.tar.bz2”h0Œ@7d136f8039aeba54528f4f73825ddef056b3b577a1bba42a280fd28204b00782”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz)€QìhEJh hFˆubh)”}”(hŒ	r-logging”h#Œ0.10_108”h%Œr36_2”h'Khhh(h)hŒ r-logging-0.10_108-r36_2.tar.bz2”h+Œ 58fa3e398463613540da7040ab2d56e5”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-logging-0.10_108-r36_2.tar.bz2”h0Œ@98498470dc7b75eba52cd1a282323a83066aa0161ddc471bb1a51f4c58447776”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¬±f‰7hEJv£ hFˆubh)”}”(hŒ	backports”h#Œ1.0”h%Œpy_2”h'Khhh(h)hŒbackports-1.0-py_2.tar.bz2”h+Œ 0da16b293affa6ac31812376f8eb79dd”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/backports-1.0-py_2.tar.bz2”h0Œ@a584e690dbb042779af83abaa87a54764278c0a53bf5256ff8f5b0f0061ac283”h2NhNh3Œpython”…”h9h?h@ŒBSD 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r-beeswarm”Œr-boot”Œr-flextable”Œr-lme4”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÜäÌ9XhEM+ahFˆubh)”}”(hŒ	r-pkgload”h#Œ1.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-pkgload-1.3.2-r41hc72bb7e_0.tar.bz2”h+Œ e23a1a8420ab52056d86a6f9691d23fa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pkgload-1.3.2-r41hc72bb7e_0.tar.bz2”h0Œ@384af9c42665d0db7d074c5e379245c5a26622ef7ad4f58b6db08752c01b1bb3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.3.0”Œr-crayon”Œr-desc”Œr-fs”Œr-glue”Œr-rlang >=1.0.3”Œr-rprojroot”Œr-withr >=2.4.3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÝWã¾§ðhEJí hFˆubh)”}”(hŒ	r-natserv”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-natserv-1.0.0-r41hc72bb7e_0.tar.bz2”h+Œ abf1bfbe622f41e442c5ec3efdce4967”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-natserv-1.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@186f9222cc0a7ecf6a8de8a39a05ba5b3b6d7c39a10aed3274ce6c3196528a4c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.7.0”Œr-data.table >=1.12.0”Œr-tibble >=2.0.1”Œr-xml2 >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÜÂnÙhEJia hFˆubh)”}”(hŒ	r-rafalib”h#Œ1.0.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-rafalib-1.0.0-r41hc72bb7e_1003.tar.bz2”h+Œ 95b882a391c312dac53afd840b3cdead”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rafalib-1.0.0-r41hc72bb7e_1003.tar.bz2”h0Œ@470b659c579521f9ba07901d6e978704d334caa4b85e19b64ef9b79baa56730c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rcolorbrewer”†”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÒ/ QìhEJÅ hFˆubh)”}”(hŒukbparse”h#Œ0.22.0”h%Œpy_0”h'K hhh(h)hŒukbparse-0.22.0-py_0.tar.bz2”h+Œ b91e574714224ae56f7acd56299623e2”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/ukbparse-0.22.0-py_0.tar.bz2”h0Œ@1c426bea92f83595e7740ff7c6df232342f315c87db55fde70e573563b4e6af2”h2NhNh3(Œbeautifulsoup4”Œh5py”Œjupyter”Œlibxml2”Œlxml”Œnotebook”Œnumpy”Œpandas”Œpygments”Œ	pyparsing”Œpytables”Œpython >=3.5”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×5\ÆvÉhEJúm hFˆubh)”}”(hŒlibxrandr-cos7-aarch64”h#Œ1.5.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ1libxrandr-cos7-aarch64-1.5.1-h9d98e8f_104.tar.bz2”h+Œ 242c858954077c93c8a0e56e29b4ce60”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-aarch64-1.5.1-h9d98e8f_104.tar.bz2”h0Œ@de9c9017ed09105ace4846e654c5adf2c6ca6446260928fa55b01aff428e932c”h2NhNh3Œ!libx11-cos7-aarch64 >=1.6.0 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ÉL¬hEMâ`hFˆubh)”}”(hŒevojax”h#Œ0.2.15”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"evojax-0.2.15-pyhd8ed1ab_0.tar.bz2”h+Œ 75fb9459d410bd044da36b706aed7a86”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/evojax-0.2.15-pyhd8ed1ab_0.tar.bz2”h0Œ@e87a968fe9ca45452a6b078b080665e53a4b2a00f97a006d7b2229743edcb379”h2NhNh3(Œcma”Œflax”Œjax >=0.2.17”Œjaxlib >=0.1.65”Œpillow”Œpython >=3.6”Œpyyaml”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÏOÚªÐåhEMßúhFˆubh)”}”(hŒbracex”h#Œ2.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!bracex-2.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 586272349d7bef5b1ef527b56dca73cb”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/bracex-2.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e3f867b5be7837366e989df8f6e64f94ec180676fea3494285ee873f24921156”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØa’f\ZhEMÝ6hFˆubh)”}”(hŒmesa-dri-drivers-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:mesa-dri-drivers-cos7-aarch64-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ 4962579e0423d7ca5c4ab8abdc03e4c4”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-aarch64-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@6b3e352492815915b226407402132fec02fbe275e2361d1c258eeebec571bf17”h2NhNh3Œ#libdrm-cos7-aarch64 >=2.4.83 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŽÐs÷ÏhEJ¾I˜hFˆubh)”}”(hŒpymapd”h#Œ0.25.1”h%Œpyh050c7b8_0”h'K hhh(h)hŒ"pymapd-0.25.1-pyh050c7b8_0.tar.bz2”h+Œ 2f52c8b881dc1159a449e15e8686ab44”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pymapd-0.25.1-pyh050c7b8_0.tar.bz2”h0Œ@5600432acf66bd127c784671afb3b12a5f81ed62d3705a6af39ce5d3c9ee0621”h2NhNh3(Œnumba”Œnumpy >=1.16.6,<2.0a0”Œpackaging >=20.0”Œpandas”Œpyarrow <=2.0”Œpython >=3.7,<3.9”Œrbc”Œrequests >=2.23.0”Œ
setuptools”Œshapely”Œsqlalchemy >=1.3”Œthrift 0.13.0.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ÿƒÏ¢=qhEJžD hFˆubh)”}”(hŒsilly”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ silly-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0c12339108b98e8634c399ab5b4769a2”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/silly-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8e9636b3435d1c8abba19fdf67949918c62f5627c59653a6172cdca19f79eced”h2NhNh3Œinflect >=2.1.0”Œpython >=3.5”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÀÞ¹¡XhEMAhFˆubh)”}”(hŒr-visualizer”h#Œ1.6.1”h%Œr42ha770c72_2”h'Khhh(h)hŒ(r-visualizer-1.6.1-r42ha770c72_2.tar.bz2”h+Œ 9c4bc69f7accbc06dbc60dca3dde4a9b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-visualizer-1.6.1-r42ha770c72_2.tar.bz2”h0Œ@f83e760bab4cf85c180f6c19cf2d799d046a7b0feef71dbdaec5d1011b01ce8c”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-easyverification”Œr-fields”Œ	r-lattice”Œr-latticeextra”Œ
r-magrittr”Œ
r-mapplots”Œr-padr”Œr-rcolorbrewer”Œr-scales”Œr-sm”Œr-sp”Œr-specsverification”Œr-transformer >=2.0.0”Œr-verification”Œ	r-vioplot”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒÑÿg hEJ,ú+hFˆubh)”}”(hŒ	r-gmodels”h#Œ2.18.1.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ(r-gmodels-2.18.1.1-r41ha770c72_1.tar.bz2”h+Œ 9ff8069cc7b03a8071524fa7668bb855”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gmodels-2.18.1.1-r41ha770c72_1.tar.bz2”h0Œ@637d461ea69cd7f22a7b77ed624f7748af5764c75d4f0f5eb4014e9baebb5374”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gdata”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐþŸ\)hEJöó hFˆubh)”}”(hŒlibnl-devel-cos7-x86_64”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libnl-devel-cos7-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h+Œ a3e2241e9bda599d5c3b3685b7f987d8”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@a3f90724aa9f085bfe423729e911a4119608eab758d351c35ad2410397eea7dc”h2NhNh3Œ libnl-cos7-x86_64 ==1.1.4 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Å+hÐ  hEJü	 hFˆubh)”}”(hŒ	boruta_py”h#Œ0.3”h%Œpy_0”h'K hhh(h)hŒboruta_py-0.3-py_0.tar.bz2”h+Œ c988bbc17cd74633681a69dc397ac047”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/boruta_py-0.3-py_0.tar.bz2”h0Œ@478fb62506f73a883c642d5011a08f35d7c1099d5788eab07ee2b1ea5861ad16”h2NhNh3(Œnumpy >=1.10.4”Œpython”Œscikit-learn >=0.17.1”Œscipy >=0.17.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Qæ5ó¶hEMCËhFˆubh)”}”(hŒr-assertable”h#Œ0.2.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-assertable-0.2.8-r41hc72bb7e_0.tar.bz2”h+Œ 1daa1a0dfb7bf860ba1fac2eba9d8776”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-assertable-0.2.8-r41hc72bb7e_0.tar.bz2”h0Œ@6c9668064903046f8fa226b7167085ed3ec0e8cab400214b9c27e136806aee44”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ_ã§ïžhEJë2 hFˆubh)”}”(hŒr-ritis”h#Œ1.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-ritis-1.0.0-r40hc72bb7e_0.tar.bz2”h+Œ 57aa59cca199f850b64e818b306d9436”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ritis-1.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@a679ca60b8be60d7823f04ea3d5ad5040b60921e369f232fc2a2231173e0501a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.4.0”Œr-data.table >=1.9.6”Œr-jsonlite >=1.5”Œr-solrium >=1.0.2”Œr-tibble >=1.3.4”t”h9hºh@ŒMIT”hBŒMIT”hDGAØFA#Æ¨hEJ_{ hFˆubh)”}”(hŒplotly”h#Œ4.14.3”h%Œpyh44b312d_0”h'K hhh(h)hŒ"plotly-4.14.3-pyh44b312d_0.tar.bz2”h+Œ 9526a7740d7abe3e1592d35798b168c5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/plotly-4.14.3-pyh44b312d_0.tar.bz2”h0Œ@0be8126d747780adc30fa995d503eeac4391b951db783128d19c3fdac6e9d5b7”h2NhNh3(Œpython”Œretrying >=1.3.3”Œ
setuptools”Œsix”t”h6Œipywidgets <8.0.0”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ÿv å`hEJŒÖ^ hFˆubh)”}”(hŒr-superpower”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-superpower-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 599677db2ff01692da218c5d7e1181ca”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-superpower-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@d25251c7411aca2b5d147bea8225a87c2fa7af4c1d9e9088521f0adba2f5da50”h2NhNh3(Œr-afex”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-emmeans”Œ	r-ggplot2”Œr-gridextra”Œr-hmisc”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œ
r-reshape2”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¡Ñp¤hEJú+" hFˆubh)”}”(hŒ	pyseaweed”h#Œ1.0.2”h%Œpy_1”h'Khhh(h)hŒpyseaweed-1.0.2-py_1.tar.bz2”h+Œ a084f9a9a9fbd66780d2fbf351f19dee”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pyseaweed-1.0.2-py_1.tar.bz2”h0Œ@46403e5a1f73735f1b4dd9c40e96c2bfe7cb86c52eda3fa7fec6f47950748c58”h2NhNh3Œpython”Œrequests”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖÓ
kjn˜hEM$hFˆubh)”}”(hŒpytest-django-haystack”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒ)pytest-django-haystack-0.3.0-py_0.tar.bz2”h+Œ 9f5f16e2eade774015783bb1347a9221”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytest-django-haystack-0.3.0-py_0.tar.bz2”h0Œ@43f2cb1b7b87a38b9c1ac2090de0217e45a6263018cd50957ae243573b76df6c”h2NhNh3(Œdjango”Œpytest”Œpytest-django”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÃýò”“hEMàhFˆubh)”}”(hŒ	jquery-ui”h#Œ1.12.1”h%j3G h'K hhh(h)hŒjquery-ui-1.12.1-0.tar.bz2”h+Œ 7358ce720bebbd7d6f3d7a69d4a558fc”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/jquery-ui-1.12.1-0.tar.bz2”h0Œ@cfe08850c74c14789e585696a0d6cc7df71e87c2287eba1ce22b60707b587c40”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hEJl" hFˆubh)”}”(hŒ	r-scholar”h#Œ0.2.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-scholar-0.2.4-r40hc72bb7e_0.tar.bz2”h+Œ 9310c17f37c28310211813c8e4a48c90”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-scholar-0.2.4-r40hc72bb7e_0.tar.bz2”h0Œ@4b46f2c19a6fe811722d36003f13cbdaa42ecf65a86f175890bf3ee4834d7ff2”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-ggraph”Œr-httr”Œ	r-r.cache”Œr-rvest”Œ	r-stringr”Œr-tidygraph”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¼—å½?}hEJH0 hFˆubh)”}”(hŒpyxlsb”h#Œ1.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pyxlsb-1.0.10-pyhd8ed1ab_0.tar.bz2”h+Œ 0c14e44bc93a99cdc11398311c3c0dcf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pyxlsb-1.0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@7e6e7064ad976ba6d38e7cf5a893c93a47025d4074b888e8db31386a914935fb”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØÒv¨<í‘hEMbnhFˆubh)”}”(hŒr-fastdummies”h#Œ1.6.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-fastdummies-1.6.3-r41hc72bb7e_1.tar.bz2”h+Œ 673ae053ca3c92f3f5cc6e7a4d52b57f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fastdummies-1.6.3-r41hc72bb7e_1.tar.bz2”h0Œ@addffac1e77f7a6458a9fed7fed9f7c688c666cdfb19a90d03cab3185960ccac”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ·ýþVhEMBÉhFˆubh)”}”(hŒr-credentials”h#Œ1.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-credentials-1.3.2-r42hc72bb7e_1.tar.bz2”h+Œ 8d6d435fd51090306d5c9d03e9965266”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-credentials-1.3.2-r42hc72bb7e_1.tar.bz2”h0Œ@ab098e3eac848e29c2ef2fb75f9f435731c2cbdf1b636833e0298bb591268a18”h2NhNh3(Œ	r-askpass”Œr-base >=4.2,<4.3.0a0”Œr-curl”Œ
r-jsonlite”Œr-openssl >=1.3”Œr-sys >=2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐAäjn˜hEJÞ hFˆubh)”}”(hŒr-pacman”h#Œ0.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-pacman-0.5.1-r42hc72bb7e_1.tar.bz2”h+Œ 373cb4514df48e6591632c060f5ad33b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pacman-0.5.1-r42hc72bb7e_1.tar.bz2”h0Œ@85f93d58cb157b04375e004e9eff62cc388a5a8a587b1e9d6734f175203673c6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-remotes”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑko¾whEJôý hFˆubh)”}”(hŒr-formula.tools”h#Œ1.7.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ.r-formula.tools-1.7.1-r42hc72bb7e_1004.tar.bz2”h+Œ 632eb8fc63c0bfd30701db56aa6d30f4”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-formula.tools-1.7.1-r42hc72bb7e_1004.tar.bz2”h0Œ@8f67a5b928ecd6c6173ebe9855c51dfeb87d1ea8eb9e9ba5fd13bf3ed71c314a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-operator.tools >=1.4.0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐÔ°kçmhEJk± hFˆubh)”}”(hŒlibuuid-cos7-aarch64”h#Œ2.23.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libuuid-cos7-aarch64-2.23.2-h9d98e8f_104.tar.bz2”h+Œ ba287355dfc4057bf82056319defb172”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-aarch64-2.23.2-h9d98e8f_104.tar.bz2”h0Œ@7c90e516431794302f5500042bd2586822c9d9c53e649ec24a19fa4b58d4348d”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉyóxÕhEM4:hFˆubh)”}”(hŒtexsoup”h#Œ0.3.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"texsoup-0.3.1-pyh9f0ad1d_0.tar.bz2”h+Œ 7c1cf601e3bebb4dc06181c44577d9f0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/texsoup-0.3.1-pyh9f0ad1d_0.tar.bz2”h0Œ@e6900afd7c734ce2f3d26be19e960365f9ea898f4ab01f54068bad275b2a7741”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ÉýÕãohEMýdhFˆubh)”}”(hŒr-networkd3”h#Œ0.4”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ(r-networkd3-0.4-r36h6115d3f_1003.tar.bz2”h+Œ 62a1f91352ae7624b1cb6b00a6608ca2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-networkd3-0.4-r36h6115d3f_1003.tar.bz2”h0Œ@e5569109f6e49019968be80231703808e721895169d6c58bcf89265087ca0245”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmlwidgets >=0.3.2”Œr-igraph”Œ
r-magrittr”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LÍ”´ýôhEJF& hFˆubh)”}”(hŒr-repo”h#Œ2.1.5”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-repo-2.1.5-r41hc72bb7e_2.tar.bz2”h+Œ 41e7e7680815067d7abeaa6bd949def6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-repo-2.1.5-r41hc72bb7e_2.tar.bz2”h0Œ@6cf9ea64ba091d3907b77dc61c52e625fb2f726d8d79a464b647835d51c13656”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ‚Ê=qhEJ«ÿ hFˆubh)”}”(hŒlibuuid-cos7-ppc64le”h#Œ2.23.2”h%Œha826a6f_103”h'Kghhh(h)hŒ0libuuid-cos7-ppc64le-2.23.2-ha826a6f_103.tar.bz2”h+Œ 91590c08a8285ea4277fcd732c52d7d1”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-ppc64le-2.23.2-ha826a6f_103.tar.bz2”h0Œ@a829498ba62735dee441085d941a76ec8e996878f4b70c0694ca58ea4693b032”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÆzûsC–hEM<hFˆubh)”}”(hŒr-multilevel”h#Œ2.7”h%Œr41h785f33e_1”h'Khhh(h)hŒ&r-multilevel-2.7-r41h785f33e_1.tar.bz2”h+Œ 6dd8aa6eda6c172e7cf4cb976649e364”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multilevel-2.7-r41h785f33e_1.tar.bz2”h0Œ@2194a1526257a53828f60466e44661f5571f8405e548837c3d33c0a140ea8e4e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-nlme”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑ›ÔìÝ/hEJÖµ hFˆubh)”}”(hŒtranslitcodec”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(translitcodec-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 19cd438a7625fbdca06503a29f8cdb94”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/translitcodec-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@eb3c2ce75ce21d4e5f6574b36cd80e07d78372508b1baf4089f9a4faf0dbace1”h2NhNh3Œ
python >=3”…”h9h?h@ŒMIT”hBŒMIT”hDGAØXw!7LhEM¼7hFˆubh)”}”(hŒfpdf”h#Œ1.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒfpdf-1.7.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0fd8c6bf806f615435f5a0e3f729df9d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/fpdf-1.7.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c6098076ff6a7c82ec21312922a31b714846d8ba4183c8dcb9b3287f086afc2e”h2NhNh3Œ
python >=3”…”h9h?h@ŒLGPLv3”hDGA×ñ®½a‡hEMO©hFˆubh)”}”(hŒpixman-cos7-ppc64le”h#Œ0.34.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/pixman-cos7-ppc64le-0.34.0-h9b0a68f_105.tar.bz2”h+Œ 3227c471da7a1240db27c4248c2f1e60”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pixman-cos7-ppc64le-0.34.0-h9b0a68f_105.tar.bz2”h0Œ@ed83ac2f2a3512d99c3b9ddb0f4d78f1ad9fa5144ecd2c8c46586b6bda77d6a0”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@†lËSøhEJi hFˆubh)”}”(hŒdagster-cron”h#Œ0.11.15”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)dagster-cron-0.11.15-pyhd8ed1ab_1.tar.bz2”h+Œ 9299e424e98abfd5fb60173a31872348”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/dagster-cron-0.11.15-pyhd8ed1ab_1.tar.bz2”h0Œ@5c2fbaf523d3719a287e32eff831beeeaff569e2e6555f95003d3f2de7d2eba5”h2NhNh3Œdagster 0.11.15.*”Œpython >=3.6”Œpython-crontab >=2.4.1”‡”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØ½•LŽ{hEJÞ hFˆubh)”}”(hŒrb-mimemagic”h#Œ0.3.3”h%Œ
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r-reshape2”Œr-smacof”Œr-wordcloud”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ‰«×
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GPL (>= 2)”hBŒGPL3”hDGAØÐÎdØ ÅhEJ¨ hFˆubh)”}”(hŒsnaptime”h#Œ0.2.4”h%Œpy_0”h'K hhh(h)hŒsnaptime-0.2.4-py_0.tar.bz2”h+Œ c9c8efd87c45372eae9609ebe1f010c5”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/snaptime-0.2.4-py_0.tar.bz2”h0Œ@f41333cadc4f28f7fa208691c25c6a74a4878674f136da0fad1fa3aca7df2453”h2NhNh3Œpython”Œpython-dateutil”Œpytz”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖ½æ7 hEMÚhFˆubh)”}”(hŒr-ggsn”h#Œ0.5.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-ggsn-0.5.0-r35h6115d3f_0.tar.bz2”h+Œ d18431ee6b6735016a42334bd2c83b2e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggsn-0.5.0-r35h6115d3f_0.tar.bz2”h0Œ@4cf579c1873c5cfac7ae0f6896f33d84faab4c4e679d827db6c9ef9214d22a83”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-ggmap”Œ	r-ggplot2”Œ
r-maptools”Œr-png”Œr-sf”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×QôÂ~úhEJ>¹
 hFˆubh)”}”(hŒr-heatmap.plus”h#Œ1.3”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ,r-heatmap.plus-1.3-r351h6115d3f_1001.tar.bz2”h+Œ b9e923f7435a0b57921aad42dd6e16d7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-heatmap.plus-1.3-r351h6115d3f_1001.tar.bz2”h0Œ@8fb6b1e1a83aa80e0dc313b1ce4e5af87332fdead02f226a1712b4a5d5d7bd7c”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAÖüùJÓhEMinhFˆubh)”}”(hŒ
r-beeswarm”h#Œ0.4.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-beeswarm-0.4.0-r40hc72bb7e_0.tar.bz2”h+Œ 0d0ce36882738d714240daf030981b96”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-beeswarm-0.4.0-r40hc72bb7e_0.tar.bz2”h0Œ@d9242173597b6e51b97efb2862449bff94124f62c6f8a804875f502ed4d4805c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ-³<XA‰hEJE\ hFˆubh)”}”(hŒr-gfa”h#Œ1.0.3”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ$r-gfa-1.0.3-r36h6115d3f_1001.tar.bz2”h+Œ c8f056e41389f584fca1e871c242bbba”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gfa-1.0.3-r36h6115d3f_1001.tar.bz2”h0Œ@d44f89b15320b8f29aea6e7ef4263d40e817feb116fe4cc94dcfdb4f799d1bc8”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×M	Rr\hEJvy hFˆubh)”}”(hŒr-rsolnp”h#Œ1.16”h%Œ	r351_1001”h'Méhhh(h)hŒr-rsolnp-1.16-r351_1001.tar.bz2”h+Œ 3e4d346bf1ce4da9f6198bcd42035b35”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-rsolnp-1.16-r351_1001.tar.bz2”h0Œ@6492ab3899ac736841acb0bc3e145fe9342acb4577b93bccd35453995bdcb201”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-truncnorm”†”h9hºh@ŒGPL”hBŒGPL”hDGAÖý‹ÝâŸ¾hEJ é hFˆubh)”}”(hŒr-d3network”h#Œ0.5.2.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-d3network-0.5.2.1-r41hc72bb7e_2.tar.bz2”h+Œ cbe5be13ba7f97d602d69e8cc4e32765”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-d3network-0.5.2.1-r41hc72bb7e_2.tar.bz2”h0Œ@ecc2d3f59f97adb1326320ccb4cdf72315fdf7dd3a6e472bab31cb5f7b5f8764”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œr-rjson”Œ	r-whisker”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑý\ÛohEJˆ hFˆubh)”}”(hŒmando”h#Œ0.6.4”h%Œpy_0”h'K hhh(h)hŒmando-0.6.4-py_0.tar.bz2”h+Œ c00e1a221c25cd68b112b02bcf386a1a”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/mando-0.6.4-py_0.tar.bz2”h0Œ@5b55872bec0a1874c4c8b78bcfd582a1e9e981a51a9ae2956d777b722aafce29”h2NhNh3Œpython”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hEMŸahFˆubh)”}”(hŒ	r-dagwood”h#Œ0.1.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-dagwood-0.1.4-r40hc72bb7e_0.tar.bz2”h+Œ 97eb05099fa83ca8fb9ce6a614d79c15”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dagwood-0.1.4-r40hc72bb7e_0.tar.bz2”h0Œ@e815babf0ffb647a32650d9e34f8231b1ccc229b7e338f4fdfbab19e7e06baf0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-dagitty”†”h9hºh@ŒMIT”hBŒMIT”hDGAØµC\AhshEM7‹hFˆubh)”}”(hŒr-egg”h#Œ0.4.5”h%Œr36h6115d3f_1”h'Khhh(h)hŒ!r-egg-0.4.5-r36h6115d3f_1.tar.bz2”h+Œ 8b3b60e273165eb28f082b5848216b03”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-egg-0.4.5-r36h6115d3f_1.tar.bz2”h0Œ@19478775b8cd78200c29841d60b22b0987005e83972561d27564d5865e8d08c8”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-gridextra >=2.3”Œr-gtable”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M¨ÄœhEJ%Å hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyhc268e32_2”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyhc268e32_2.tar.bz2”h+Œ 35a16b33d51611e82639395ab80fbe51”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyhc268e32_2.tar.bz2”h0Œ@85bcdba6e8a62c3c18778d02d89c94494e0f0b428e4585e75c50969cb422fb6b”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ À?+hEMß®hFˆubh)”}”(hŒ
livereload”h#Œ2.6.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%livereload-2.6.3-pyh9f0ad1d_0.tar.bz2”h+Œ b7190e3ec3eff52839434bf4698e2d62”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/livereload-2.6.3-pyh9f0ad1d_0.tar.bz2”h0Œ@0e88f8f8abc0a641c2f3b1b306258fab87c39a95f3495e53e6b3873107da1765”h2NhNh3(Œpython”Œ
setuptools”Œsix”Œtornado”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÐS³×
hEMahFˆubh)”}”(hŒlibibumad-cos7-ppc64le”h#Œ22.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libibumad-cos7-ppc64le-22.4-h9b0a68f_105.tar.bz2”h+Œ cdf36867cd06cc17c113585dde077870”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-ppc64le-22.4-h9b0a68f_105.tar.bz2”h0Œ@570cc79f4d3ba76f260a39eee65940b38cdb6626858c8ed4d1a21f17c7eaec67”h2NhNh3Œ#rdma-core-cos7-ppc64le ==22.4 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@ŠQ¬í‘hEM”}hFˆubh)”}”(hŒr-robis”h#Œ2.11.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-robis-2.11.3-r40hc72bb7e_0.tar.bz2”h+Œ 6e7a49436a396e2029272dee8ed7a7d3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-robis-2.11.3-r40hc72bb7e_0.tar.bz2”h0Œ@195b1aa2c5f9d031be986ee7eac149f45227c50d0511934d91801cde0bb6779f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-curl”Œr-data.table”Œr-dplyr”Œ	r-ggplot2”Œr-httpcache”Œr-httr”Œ
r-jsonlite”Œ	r-leaflet”Œ	r-mapedit”Œr-purrr”Œr-rlang”Œr-sf”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØËÚ›Â=qhEJ»Ü hFˆubh)”}”(hŒr-gwidgetsrgtk2”h#Œ0.0_86.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ.r-gwidgetsrgtk2-0.0_86.1-r41hc72bb7e_1.tar.bz2”h+Œ f57faed7bd4e1ac78e93a9d2f6901ff9”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-gwidgetsrgtk2-0.0_86.1-r41hc72bb7e_1.tar.bz2”h0Œ@e2b875a6db6cf51856252a1c35c4192ab35a1aa97cc8768b82a7e6cd7f0ac4f2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cairodevice”Œ
r-gwidgets”Œr-rgtk2”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÓ!hshEJÈf hFˆubh)”}”(hŒr-tpea”h#Œ3.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-tpea-3.1.0-r40hc72bb7e_1.tar.bz2”h+Œ ed1599b0858beb9ff5b6314db9373539”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tpea-3.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@0d63bb7406d7224966fbe0ba4fe49ce20bdb3a608c8be4c7211457d4d9172107”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-foreach”Œr-igraph”Œr-matrix”Œr-mess”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+Ì=º¬hEJ hFˆubh)”}”(hŒtypes-characteristic”h#Œ14.3.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0types-characteristic-14.3.7-pyhd8ed1ab_0.tar.bz2”h+Œ 1f6317a4caf0b7fff10b6746de43f0d4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/types-characteristic-14.3.7-pyhd8ed1ab_0.tar.bz2”h0Œ@754e69b515ca56268e17be3698125e2c9b55067762b76811c61e1779fb09a5aa”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØ¨[Íû•hEMü,hFˆubh)”}”(hŒ	r-rapport”h#Œ1.1”h%Œr36ha770c72_0”h'K hhh(h)hŒ#r-rapport-1.1-r36ha770c72_0.tar.bz2”h+Œ 09e2040bac2a41943a2ca9ba2882daa9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rapport-1.1-r36ha770c72_0.tar.bz2”h0Œ@b17025ce84622416904fb0973f1795610d3b8e7f7557a34e46dc2da33ea97259”h2NhNh3(Œpandoc”Œr-base >=3.6,<3.7.0a0”Œr-pander”Œr-rapportools”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØà‘hshEJJ hFˆubh)”}”(hŒibis-framework-core”h#Œ2.0.0”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ.ibis-framework-core-2.0.0-pyhd8ed1ab_3.tar.bz2”h+Œ e393145a9485e94fae08e59d3cd953da”h.Œ\https://conda.anaconda.org/conda-forge/noarch/ibis-framework-core-2.0.0-pyhd8ed1ab_3.tar.bz2”h0Œ@124c121745a615e89821230a13e67e2ab7a4e018020d703a0a5418c7218b892d”h2NhNh3(Œcached_property”Œmultipledispatch >=0.6”Œnumpy >=1.15”Œpandas >=0.25.3”Œparsy”Œpython >=3.7”Œpython-graphviz”Œpytz”Œregex”Œ
setuptools”Œtoolz”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØu"r°hEJ) hFˆubh)”}”(hŒipydatawidgets”h#Œ4.3.2”h%Œpyh76afe40_0”h'K hhh(h)hŒ)ipydatawidgets-4.3.2-pyh76afe40_0.tar.bz2”h+Œ dbad19230ea7b3de74fefc2198ac5353”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/ipydatawidgets-4.3.2-pyh76afe40_0.tar.bz2”h0Œ@ecb1a1fb032097b6d41c3866acf011231b623ac11cb3d050cea45ebe867c9299”h2NhNh3(Œipywidgets >=7,<9”Œnumpy”Œpython >=3.7”Œtraittypes >=0.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÁ“å&E¢hEJ²À hFˆubh)”}”(hŒ
r-optparse”h#Œ1.7.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-optparse-1.7.3-r40hc72bb7e_0.tar.bz2”h+Œ 09146b43aec8ae0ddfa5bc56c0b42458”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-optparse-1.7.3-r40hc72bb7e_0.tar.bz2”h0Œ@1080c8240abcb4b4fd32058e49f26b17d822005bae04da27694f8bdda283429d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-getopt >=1.20.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ¶$UMOßhEJe hFˆubh)”}”(hŒatk-devel-cos7-x86_64”h#Œ2.28.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2atk-devel-cos7-x86_64-2.28.1-h9b0a68f_1105.tar.bz2”h+Œ bc94a2ccb640acfef11b05847501fe44”h.Œ`https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos7-x86_64-2.28.1-h9b0a68f_1105.tar.bz2”h0Œ@d5f2fd1cd52880c68883cf9bccb134e047dec38a48ade757fb6efa297766b87c”h2NhNh3Œatk-cos7-x86_64 ==2.28.1 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@k"ÿPhEJö® hFˆubh)”}”(hŒr-networktoolbox”h#Œ1.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-networktoolbox-1.4.2-r41hc72bb7e_0.tar.bz2”h+Œ 1f4c9dd8321d4d4f44725c9b2f2a9cd2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-networktoolbox-1.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@f8bb3990bdac7199ad6a79facf834bcded8e022daa90ecc5d9da38445e0abf6d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-corrplot”Œr-doparallel”Œ	r-fdrtool”Œ	r-foreach”Œr-igraph”Œ
r-isingfit”Œr-mass”Œ	r-pbapply”Œr-ppcor”Œr-psych”Œr-pwr”Œr-qgraph”Œ
r-r.matlab”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ=,ÇÂ~úhEJkb hFˆubh)”}”(hŒlibdrm-devel-cos7-aarch64”h#Œ2.4.97”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libdrm-devel-cos7-aarch64-2.4.97-h9d98e8f_1104.tar.bz2”h+Œ 5c202ad116796c092c3218d95667bcc7”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-aarch64-2.4.97-h9d98e8f_1104.tar.bz2”h0Œ@3a816aadeef04e39de7d7b7b2462d9d1a187d5bc87a2eed9df20d3256ec708ea”h2NhNh3Œ+kernel-headers-cos7-aarch64 >=2.6.27 *_1104”Œ#libdrm-cos7-aarch64 ==2.4.97 *_1104”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×É}í&éhEJ× hFˆubh)”}”(hŒmatbench”h#Œ0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!matbench-0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 33144b7efc313582ca61738693713928”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/matbench-0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@ed4d1b0714870d6273d1f85c1b1086ba457f99c62f7f77b99e37812dcf686acf”h2NhNh3(Œmatminer 0.7.4”Œmonty 2022.4.26”Œnumpy <1.23.0,>=1.16.5”Œpython >=3.6”Œscikit-learn 1.0.1”Œscipy 1.7.3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸Q'î{hEJ}	u hFˆubh)”}”(hŒr-sjmisc”h#Œ2.8.9”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-sjmisc-2.8.9-r41hc72bb7e_1.tar.bz2”h+Œ b89f071c5ff8802976d19bbdbaf82e24”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sjmisc-2.8.9-r41hc72bb7e_1.tar.bz2”h0Œ@0dc8ca19f169cbe32d754c0875fbae78fbb22088d42912bee3873e6cc7590405”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.8.0”Œr-haven >=1.1.2”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-sjlabelled >=1.0.17”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐð{)ûçhEJ:h hFˆubh)”}”(hŒr-gameofthrones”h#Œ1.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-gameofthrones-1.0.2-r41hc72bb7e_1.tar.bz2”h+Œ 7ac486e82b54a08dc9832172fba4158d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-gameofthrones-1.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@a3c7fa0a90dadf01e2374ad1802e857c8f98624de8c5589ecb62f52a5174804a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+«™E¢hEJ[ hFˆubh)”}”(hŒr-tcltk2”h#Œ1.2_11”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ(r-tcltk2-1.2_11-r40hc72bb7e_1003.tar.bz2”h+Œ dddf5fbeb550eb53560038339e4b82db”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tcltk2-1.2_11-r40hc72bb7e_1003.tar.bz2”h0Œ@fae335ea61c5488c4624fc2aee6305ae44c691061c3da673a270c840213559e1”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØtƒí‡;dhEJÎY hFˆubh)”}”(hŒr-korpus”h#Œ0.13_8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-korpus-0.13_8-r41hc72bb7e_1.tar.bz2”h+Œ 2a274fbdad5744c32ca4000d50c7c486”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-korpus-0.13_8-r41hc72bb7e_1.tar.bz2”h0Œ@e0793caf127786e4410d0e110a26b21b886f2d1575b58efb96a90538940662c4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-matrix”Œr-sylly >=0.1_6”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑTžÈ´hEJƒ/ hFˆubh)”}”(hŒr-nozzle.r1”h#Œ1.1_1.1”h%Œr42ha770c72_1”h'Khhh(h)hŒ)r-nozzle.r1-1.1_1.1-r42ha770c72_1.tar.bz2”h+Œ 3d375294916a3a97b2457229156d6a14”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-nozzle.r1-1.1_1.1-r42ha770c72_1.tar.bz2”h0Œ@c07f633477884e56b29362a4d086112019d924adbfdbfdce920d3329659e0f61”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.0-only”hBŒLGPL”hDGAØÒEãý‘hhEJ‡æ hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ+r-cellranger-1.1.0-r36h6115d3f_1003.tar.bz2”h+Œ 42e96bb270ff38e5b1cfe683ceec0fc5”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r36h6115d3f_1003.tar.bz2”h0Œ@a3df582806fd3e242317bab6429b56f1699314f08445ecc6187541f9a22b2f83”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×«ÓœÍ‘hhEJ° hFˆubh)”}”(hŒr-gfd”h#Œ0.3.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-gfd-0.3.3-r42hc72bb7e_1.tar.bz2”h+Œ 3abe5e74a99b31ae5e4ca214878e562b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-gfd-0.3.3-r42hc72bb7e_1.tar.bz2”h0Œ@8aa4b45a30d98b1102c8635132680a0b826f67739fcb8a9043b11c7d574e40a8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-magic >=1.5_6”Œr-mass >=7.3_43”Œr-matrix >=1.2_2”Œr-plotrix >=3.5_12”Œr-plyr >=1.8.3”Œr-shiny >=1.4”Œ	r-shinyjs”Œr-shinythemes”Œr-shinywidgets”Œr-tippy”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒw®ÓohEJ¬ hFˆubh)”}”(hŒ
r-genetics”h#Œ	1.3.8.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-genetics-1.3.8.1.3-r41hc72bb7e_0.tar.bz2”h+Œ 8958123a2b47ecebffa998544660eead”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-genetics-1.3.8.1.3-r41hc72bb7e_0.tar.bz2”h0Œ@f840f6d909c7b37c2832e8e036f7223bb9a0de2899758c3bd0128f44818abbca”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-combinat”Œr-gdata”Œr-gtools”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+'t@ÔþhEJŒ hFˆubh)”}”(hŒ	pyspeckit”h#Œ0.1.21”h%Œpy_0”h'K hhh(h)hŒpyspeckit-0.1.21-py_0.tar.bz2”h+Œ 520ec80ded41bc46a6bc5238569f08a3”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pyspeckit-0.1.21-py_0.tar.bz2”h0Œ@2dc21e8fcd4b9f2757a8ef0536045f396240defcbc7508c07790f263a88a2028”h2NhNh3(Œastropy”Œmatplotlib >=1.4”Œnumpy”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×!™‘ê^5hEJ(€hFˆubh)”}”(hŒcdp”h#Œ1.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcdp-1.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 75710d31963ae274aa16ba78b95f38f3”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/cdp-1.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c3ddf49a31d133328638871fc1b6c2e0ceb361367ab588809da84bfb6ba422f4”h2NhNh3(Œdask”Œdistributed”Œoutput_viewer >=1.3.0”Œpython >=3.6”Œpyyaml”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ïº%p¤hEMŽGhFˆubh)”}”(hŒlibnl3-devel-cos7-ppc64le”h#Œ3.2.28”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libnl3-devel-cos7-ppc64le-3.2.28-h9b0a68f_105.tar.bz2”h+Œ 6ca82699998d666bf8cf15cfc0775777”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos7-ppc64le-3.2.28-h9b0a68f_105.tar.bz2”h0Œ@55f041ad6f39cb7f6328d297b12bf818fb0d6c1e1ff8c3d4f6db337e491aef7d”h2NhNh3Œ&libnl3-cli-cos7-ppc64le ==3.2.28 *_105”Œ"libnl3-cos7-ppc64le ==3.2.28 *_105”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@Ž.Ä(öhEM{àhFˆubh)”}”(hŒr-corrr”h#Œ0.4.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-corrr-0.4.4-r40hc72bb7e_0.tar.bz2”h+Œ ffe846d3b8214df99ac59451e8599e7e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-corrr-0.4.4-r40hc72bb7e_0.tar.bz2”h0Œ@1dedf6b7dbef9a173b2b8aed9abcdadca0b373e1531890988fd209194eda7816”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.8.0”Œr-ggplot2 >=2.2.0”Œr-ggrepel >=0.6.5”Œr-lazyeval >=0.2.0”Œr-magrittr >=1.5”Œr-purrr >=0.2.2”Œr-rlang >=0.2.0”Œr-seriation >=1.2_0”Œr-tibble >=2.0”Œr-tidyr >=0.5.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¿ËðÔþhEJº hFˆubh)”}”(hŒr-gwidgetstcltk”h#Œ0.0_55.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ.r-gwidgetstcltk-0.0_55.1-r36h6115d3f_1.tar.bz2”h+Œ 8b57c2909d16853e36c40ec1ac7371ec”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-gwidgetstcltk-0.0_55.1-r36h6115d3f_1.tar.bz2”h0Œ@cfaf708b68d05d8612ba42c5a7ba81d31c85cd7b4ee85bfdbc767075dbd9fcdf”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-digest”Œr-gwidgets >=0.0_51”Œtk >=8.5”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«øñ=ãThEJ]£ hFˆubh)”}”(hŒr-climate4r.udg”h#Œ0.2.4”h%Œr41ha770c72_2”h'Khhh(h)hŒ+r-climate4r.udg-0.2.4-r41ha770c72_2.tar.bz2”h+Œ 29caecae5c3df969985c35b26e922fda”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-climate4r.udg-0.2.4-r41ha770c72_2.tar.bz2”h0Œ@a0ee9b6f99442f5cfd3bca567cc196156d82600cc6112f075c42267e5968f7ea”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-loader.java”Œr-rcurl”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ®333hEJS hFˆubh)”}”(hŒwwt_kernel_data_relay”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0wwt_kernel_data_relay-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ d83afa8261d018404f7fb16a20b4ac44”h.Œ^https://conda.anaconda.org/conda-forge/noarch/wwt_kernel_data_relay-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e160ed4cbe93f760ba753812853affd33598d1f2233569e83f7d97a2b5ec80dd”h2NhNh3(Œjupyter_client >=7”Œnotebook >=6”Œpython >=3.7”Œtornado >=6”Œtraitlets >=5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ]©¡ËhEM÷*hFˆubh)”}”(hŒlibxdamage-devel-cos6-x86_64”h#Œ1.1.3”h%Œh1795305_1101”h'MMhhh(h)hŒ8libxdamage-devel-cos6-x86_64-1.1.3-h1795305_1101.tar.bz2”h+Œ c991247b8dac5e46dc46ac6035be9819”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos6-x86_64-1.1.3-h1795305_1101.tar.bz2”h0Œ@6fb716bb9e832b1a9c76a222f5bd616812c33e119ae078153f91eb2d1c7de712”h2NhNh3Œlibxdamage-cos6-x86_64 1.1.3”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&;záhEMRhFˆubh)”}”(hŒfontconfig-devel-cos6-x86_64”h#Œ2.8.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7fontconfig-devel-cos6-x86_64-2.8.0-h9d98e8f_104.tar.bz2”h+Œ be1150b11ec5fb00a3a6688b1d30e09d”h.Œehttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos6-x86_64-2.8.0-h9d98e8f_104.tar.bz2”h0Œ@badd937fb039585fc8388079e967c83456ecb79773496faf8e42338a8cc78a06”h2NhNh3Œ$fontconfig-cos6-x86_64 ==2.8.0 *_104”Œ(freetype-devel-cos6-x86_64 >=2.1.4 *_104”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|SÖhEJ|D hFˆubh)”}”(hŒibmpairs”h#Œ0.1.3”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ#ibmpairs-0.1.3-pyhd3deb0d_0.tar.bz2”h+Œ 36fb89cd024cdd32b0c3e672a58fad1e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ibmpairs-0.1.3-pyhd3deb0d_0.tar.bz2”h0Œ@775cc48b77bd432054f86e4c8429b5f67df22492280613b245194e82d2f4be24”h2NhNh3(Œfs”Œfuture”Œfutures”Œ
jsonschema”Œnumpy”Œpandas”Œpillow >=1.6”Œpython”Œpytz”Œrequests >=2.4”Œshapely”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¦|îhEM8–hFˆubh)”}”(hŒmesa-libgl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:mesa-libgl-devel-cos7-ppc64le-18.3.4-h9d98e8f_1104.tar.bz2”h+Œ 2dc4f6583a7c22e7b58732d267f59cd5”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-ppc64le-18.3.4-h9d98e8f_1104.tar.bz2”h0Œ@ddcb8324f3fabe7d827897419084e34fbeb81bcc39a0ff4e04bcc5361c9d9be7”h2NhNh3Œ+mesa-khr-devel-cos7-ppc64le ==18.3.4 *_1104”Œ'mesa-libgl-cos7-ppc64le ==18.3.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×É€-‹hEJ„ hFˆubh)”}”(hŒsysroot_linux-64”h#Œ2.17”h%Œh4a8ded7_13”h'Khhh(h)hŒ)sysroot_linux-64-2.17-h4a8ded7_13.tar.bz2”h+Œ 57e5a5191ffe999b9f4dfdbcd0ddcba4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.17-h4a8ded7_13.tar.bz2”h0Œ@f09f2fea4b571dcd225f1e35bd3c851e809cd4c2f5f151438133969ab28478e5”h2NhNh3Œ(_sysroot_linux-64_curr_repodata_hack 3.*”Œ*kernel-headers_linux-64 3.10.0 h4a8ded7_13”†”jy Œsysroot_linux-64_2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ_Ü¦{hEJiÑ!hFˆubh)”}”(hŒlibxdamage-cos7-aarch64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libxdamage-cos7-aarch64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ cf1a82e5eb146cd95056daa824c97d20”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-aarch64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@32a92f298e524ea33d7b661895abd2cbc631f025e664ac811cec261973865c7a”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ˆpŠÀƒhEMØDhFˆubh)”}”(hŒjoblib”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!joblib-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2d9036ba47d26d88157c4eeab0693bfe”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/joblib-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1f7395b8e72683e20fe24d6d7ab94668b8bf0373f25f00204e5fd5a63ba78439”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×õÞdZhEJŠ9 hFˆubh)”}”(hŒ	r-upsetjs”h#Œ1.11.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-upsetjs-1.11.1-r41hc72bb7e_1.tar.bz2”h+Œ 2f1a06073e0effe63ff0f3dc6a6fe773”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-upsetjs-1.11.1-r41hc72bb7e_1.tar.bz2”h0Œ@ef7a26f2fa79f53a7b2e5f38375d53cae517d3f0bd3783e8813d0cc55255976e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets”Œ
r-magrittr”‡”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØÑÌ—™šhEJyÛ hFˆubh)”}”(hŒr-solvesaphe”h#Œ2.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-solvesaphe-2.1.0-r42hc72bb7e_1.tar.bz2”h+Œ ee0a3e2570e8de4973aa0fc0f8217345”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-solvesaphe-2.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@cb277512d80a62e498e58197309214188bf4845deb2d10b6b9a781bedcae2678”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑFmbNhEJ6 hFˆubh)”}”(hŒsysroot_linux-s390x”h#Œ2.17”h%Œhc882541_11”h'Khhh(h)hŒ,sysroot_linux-s390x-2.17-hc882541_11.tar.bz2”h+Œ 27669d52ea8e6fe3a8a90a2d750768a5”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot_linux-s390x-2.17-hc882541_11.tar.bz2”h0Œ@a588fce80db8674008f4d4e028b17391432be39365b4c92c82ba6bde397185b5”h2NhNh3Œ-kernel-headers_linux-s390x 3.10.0 h406d98a_11”Œ+_sysroot_linux-s390x_curr_repodata_hack 4.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ< L'l‹hEJVü hFˆubh)”}”(hŒ	nr.stream”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$nr.stream-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ ea49ce2b3fc5581631287924167a87e8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/nr.stream-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@4603ea8c54f8c8fefa72bf5007feb577c4d422abe6d2b94de69dc9af8e59c089”h2NhNh3Œnr.pylang.utils >=0.1.0,<1.0.0”Œpython >=3.5,<4.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØDsû{SøhEM¦$hFˆubh)”}”(hŒlibice-devel-cos7-aarch64”h#Œ1.0.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libice-devel-cos7-aarch64-1.0.9-h9d98e8f_1104.tar.bz2”h+Œ 8e9eec512e81c44747799f0945fc2281”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-aarch64-1.0.9-h9d98e8f_1104.tar.bz2”h0Œ@24953b690060224b9d16c4cc4a139d713e521107b9c7e31185ed5598ec373c01”h2NhNh3Œ"libice-cos7-aarch64 ==1.0.9 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|jm`BhEMtœhFˆubh)”}”(hŒxcb-util-wm-devel-cos7-aarch64”h#Œ0.4.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9xcb-util-wm-devel-cos7-aarch64-0.4.1-h9d98e8f_104.tar.bz2”h+Œ cef05d7e382b41be1daa13a8a1638e5d”h.Œghttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-devel-cos7-aarch64-0.4.1-h9d98e8f_104.tar.bz2”h0Œ@d423540d57a0d352676171e0815cc2df7822b731fff1bb1e9713b27b8b3ec569”h2NhNh3Œ&xcb-util-wm-cos7-aarch64 ==0.4.1 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓÁÿ+hEMIMhFˆubh)”}”(hŒ
r-magrittr”h#Œ1.5”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ'r-magrittr-1.5-r36h6115d3f_1002.tar.bz2”h+Œ 6c40b30074347a4cb87703a766e163d7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-magrittr-1.5-r36h6115d3f_1002.tar.bz2”h0Œ@f1a770d45a06073cf69a639c67bed6dd534cd87053c49cb6cdf3e117e6760ee3”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Jù®Ë×
hEJ®š hFˆubh)”}”(hŒr-gsubfn”h#Œ0.7”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ%r-gsubfn-0.7-r36h6115d3f_1001.tar.bz2”h+Œ cfe58dd6d1c56705db894df1d818c4e4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gsubfn-0.7-r36h6115d3f_1001.tar.bz2”h0Œ@d90e6db7b4e0b60984adfe9019760732d21f172f09a73184dfa3e7d774470be1”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-proto”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L{L™º^hEJü² hFˆubh)”}”(hŒpdb_manip_py”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pdb_manip_py-1.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ dc210bcda826fdea902f3670dbc825f1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pdb_manip_py-1.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@84be20134bbb113a5ec5e87d1fc6633ac20ea6044835ebb791732a3565742178”h2NhNh3(Œnumpy”Œos_command_py >=1.1.0”Œpdb2pqr >=3.2.0”Œpython >=3.5”Œscipy >=1.4.0”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØNsdwl‹hEJx hFˆubh)”}”(hŒmesa-dri1-drivers-cos6-x86_64”h#Œ7.11”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7mesa-dri1-drivers-cos6-x86_64-7.11-hdf0574f_102.tar.bz2”h+Œ e6f61ec392a4345d6bfae83c95666011”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-dri1-drivers-cos6-x86_64-7.11-hdf0574f_102.tar.bz2”h0Œ@468dbe54750a7a94cb969dbfe1ec443df59344ac62097f15cb95840a9c158b8c”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+9ÊÁhEJ0äD hFˆubh)”}”(hŒ
r-shinyace”h#Œ0.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-shinyace-0.4.2-r41hc72bb7e_1.tar.bz2”h+Œ 8f631443670c3b6dffe3bf5fd1d918b6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-shinyace-0.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@fc1093d3e98a24f8553a62b37c2c0937149ede480a75d14a662a6d03be5c1b20”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-shiny >=1.0.5”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐð±%hEJf& hFˆubh)”}”(hŒmeshzoo”h#Œ0.9.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"meshzoo-0.9.4-pyhd8ed1ab_0.tar.bz2”h+Œ 79ae8c7efd79cf310ba276d2bd40b1bb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/meshzoo-0.9.4-pyhd8ed1ab_0.tar.bz2”h0Œ@c6dbac45c816c64a8495bb8a79e3113ae111dc3f6c4337eef9f0a90dd132e28c”h2NhNh3Œimportlib_metadata”Œnumpy >=1.20.0”Œpython >=3.7”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ‚œy²ñªhEM+ŠhFˆubh)”}”(hŒrb-csl”h#Œ1.5.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒrb-csl-1.5.0-hd4c1694_0.tar.bz2”h+Œ 089380a834fcaa7fcccf70ae629ef921”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/rb-csl-1.5.0-hd4c1694_0.tar.bz2”h0Œ@8e155f8e83e5d6e07d1baf6490d0b9f65ecc1c6ee0dd7c9f661f3384af37feba”h2NhNh3Œrb-namae >=1.0,<2”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGA×ZNÖffhEJå¿ hFˆubh)”}”(hŒr-cyclocomp”h#Œ1.1.0”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ*r-cyclocomp-1.1.0-r41hc72bb7e_1004.tar.bz2”h+Œ 1ada20fcc4603a3844d8008c7ba0f0ae”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-cyclocomp-1.1.0-r41hc72bb7e_1004.tar.bz2”h0Œ@c73088176cbe10e03a3aa990a04e752a615f90b94eac74e8e81d2b3e495be29a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr”Œr-crayon”Œr-desc”Œ	r-remotes”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+@þÈr°hEM€•hFˆubh)”}”(hŒblah-7e241f”h#Œ2022.06.14.14.10.02”h%Œpy_0”h'K hhh(h)hŒ,blah-7e241f-2022.06.14.14.10.02-py_0.tar.bz2”h+Œ 92a45f9d532c047921a269217ad77173”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/blah-7e241f-2022.06.14.14.10.02-py_0.tar.bz2”h0Œ@f7c1f1aec22b0d1cae531d54b422d153f932f3626dd1d703313bc849a34a290d”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØª%áùÛhEMÁhFˆubh)”}”(hŒdjango-avatar”h#Œ5.0.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ(django-avatar-5.0.0-pyhd8ed1ab_1.tar.bz2”h+Œ f98d112976d3054dbfe435cd10abdb65”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/django-avatar-5.0.0-pyhd8ed1ab_1.tar.bz2”h0Œ@fa49057500d6b4596b797e12cc7b8e80a8b470e3fb90fd58c231c21f3c804ffa”h2NhNh3(Œdjango >=1.11,<3.0”Œdjango-appconf”Œpillow”Œpython >3.6,<=3.8”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ}ùm²-hEMˆhFˆubh)”}”(hŒgtkmm24-devel-cos7-aarch64”h#Œ2.24.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ7gtkmm24-devel-cos7-aarch64-2.24.5-ha826a6f_1103.tar.bz2”h+Œ 965c60b9f6daff14b7961d3c2d352dc5”h.Œehttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos7-aarch64-2.24.5-ha826a6f_1103.tar.bz2”h0Œ@9cde148d2c3f2c3b3e93045e99dd73190b31c584c2b805b87ae4ac505f6d3b18”h2NhNh3Œ$gtkmm24-cos7-aarch64 ==2.24.5 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{¾2=qhEJÐ€ hFˆubh)”}”(hŒ	r-plotroc”h#Œ2.3.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-plotroc-2.3.0-r42hc72bb7e_1.tar.bz2”h+Œ 5683ae7f8aa8a814a1c213e5d4553dd2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-plotroc-2.3.0-r42hc72bb7e_1.tar.bz2”h0Œ@84aa0163e4a437c466b31034ccd3666350ce235e7436ef75f30b00618a068078”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ	r-gridsvg”Œr-plyr”Œr-rlang”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ6¢/®hEJæ¾ hFˆubh)”}”(hŒr-dmt”h#Œ0.8.20”h%Œ	r351_1001”h'Méhhh(h)hŒr-dmt-0.8.20-r351_1001.tar.bz2”h+Œ 124ac3a3bb13b6082f1925b7c3cf29dd”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-dmt-0.8.20-r351_1001.tar.bz2”h0Œ@c2cfff4561db3ba978210f3e2f6c183bbd761976d1e38561890a78d35bc843e3”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-mass”Œr-matrix”Œ	r-mvtnorm”t”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGAÖþD¥ hEJpÏ hFˆubh)”}”(hŒr-c3net”h#Œ1.1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-c3net-1.1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 5b16d11f33dc6b56acdae2cbb514e474”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-c3net-1.1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@c207d50b8ad929543c7c9f177760ac39f73a8ebdee755e6aca00517a48f3d7dc”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-igraph”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ¾fã÷ÏhEJò» hFˆubh)”}”(hŒ
r-textstem”h#Œ0.1.4”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-textstem-0.1.4-r41hc72bb7e_2.tar.bz2”h+Œ abe16529cf862fead635b61ad9fa1e34”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-textstem-0.1.4-r41hc72bb7e_2.tar.bz2”h0Œ@39813af48aa4e7c19213aeb2fce66143a5d4fde2cdfa504c130f557876863c80”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-hunspell”Œr-korpus”Œr-korpus.lang.en”Œr-lexicon >=0.4.1”Œr-quanteda >=0.99.12”Œr-snowballc”Œ	r-stringi”Œr-textclean”Œr-textshape”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ÷½OßhEJ13 hFˆubh)”}”(hŒ
r-beanplot”h#Œ1.3.1”h%Œr42ha770c72_1”h'Khhh(h)hŒ&r-beanplot-1.3.1-r42ha770c72_1.tar.bz2”h+Œ cd60616012b90090aff91eae7e0708b2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-beanplot-1.3.1-r42ha770c72_1.tar.bz2”h0Œ@b79b98315942068a256a136cfd6bd33586e97a7a3ddd623634da27f6db0828c1”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ£::°!hEJÍ@ hFˆubh)”}”(hŒ
bargeparse”h#Œ0.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%bargeparse-0.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6d2273db8d55d2470df04efad4015107”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/bargeparse-0.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@643e1b6c0a29ec8bb2130d9f2da8429cb9381ab618ac1918f9a9c36a5b3966db”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØé^ZJhEM“;hFˆubh)”}”(hŒdeprecation-factory”h#Œ0.2.4”h%Œpy_0”h'K hhh(h)hŒ&deprecation-factory-0.2.4-py_0.tar.bz2”h+Œ d0fb3f54c1289dbfa2f4a6a39677477a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/deprecation-factory-0.2.4-py_0.tar.bz2”h0Œ@3808dd01d72cec90e16ee089ef1576bd919d76562b51c6da6de02c83a487b401”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÜpR° ÅhEMÜ9hFˆubh)”}”(hŒr-piggyback”h#Œ0.1.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-piggyback-0.1.4-r40hc72bb7e_0.tar.bz2”h+Œ 50914b303d7032d05b4fad7de8e5d4f4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-piggyback-0.1.4-r40hc72bb7e_0.tar.bz2”h0Œ@ef195aeb75e0adc032a63c9bfec3bce00eb3aaca64056a129e6cc7bfe5170296”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cli”Œr-fs”Œr-gh”Œr-glue”Œr-httr”Œ
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Apache-2.0”hBŒApache”hDGAØE*8ÄœhEJåw hFˆubh)”}”(hŒr-sentimentanalysis”h#Œ1.3_4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ/r-sentimentanalysis-1.3_4-r40hc72bb7e_0.tar.bz2”h+Œ fae7a873a8309a045f76ebb0a971d694”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-sentimentanalysis-1.3_4-r40hc72bb7e_0.tar.bz2”h0Œ@b03cf47014bce077ca2a9b6c6ca8ee2c6939be9410d1b3bbb4c092fd2db09ca0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-glmnet”Œ	r-moments”Œr-ngramrr >=0.1”Œr-qdapdictionaries”Œr-spikeslab >=1.1”Œr-stringdist”Œ
r-tm >=0.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØKx§¡xÕhEJ]1 hFˆubh)”}”(hŒr-colortools”h#Œ0.1.5”h%Œ	r351_1000”h'Mèhhh(h)hŒ$r-colortools-0.1.5-r351_1000.tar.bz2”h+Œ be0b73d27adaf3887849bcf06499ec42”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-colortools-0.1.5-r351_1000.tar.bz2”h0Œ@94e0e4e6feb0499e4bab9c5c64348f639a4eef584f091afad6cdf3beb7aaa4c9”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖþãõ¸hEJ¨R hFˆubh)”}”(hŒrb-public_suffix”h#Œ3.1.1”h%Œ
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r-jsonlite”Œr-natserv >=1.0.0”Œ
r-phangorn”Œr-r6”Œr-ritis >=0.7.6”Œr-rotl >=3.0.0”Œr-rredlist >=0.5.0”Œr-tibble >=1.2”Œr-wikitaxa >=0.3.0”Œr-worrms >=0.4.0”Œr-xml2 >=1.2.0”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ˜­A¥/hEJc hFˆubh)”}”(hŒdelayed-assert”h#Œ0.3.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)delayed-assert-0.3.6-pyhd8ed1ab_0.tar.bz2”h+Œ 59fcd72db2d5858f51cb38cd4d940977”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/delayed-assert-0.3.6-pyhd8ed1ab_0.tar.bz2”h0Œ@b739d9a6bcf7e6ef7e2cd36d585257ee300a2154b102f15f84009685dcd04085”h2NhNh3Œpython >=3.6”…”h9h?h@Œ	Unlicense”hDGAØ•Æ„»çmhEM!hFˆubh)”}”(hŒr-mxmmod”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-mxmmod-1.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 494a661b3ff5b01ed25819115cbee534”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mxmmod-1.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@2c7801f2dd7eb9d8d62c2b422c949be331d899039d8495cb7b77b2db23cb10d2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-openmx”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ+L‹o²hEJ+ hFˆubh)”}”(hŒmnelab”h#Œ0.5.2”h%Œpy_0”h'K hhh(h)hŒmnelab-0.5.2-py_0.tar.bz2”h+Œ 1979612ee0436ef38c1a7c3321cc3137”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/mnelab-0.5.2-py_0.tar.bz2”h0Œ@c2b17a7ef6a5264148cb96e171cc20c3b8ddb256bfcf80d8afb71958c7d8a1f3”h2NhNh3(Œmatplotlib >=2.0.0”Œmne >=0.17.1”Œnumpy >=1.8.1”Œpybv”Œpyedflib”Œpyqt >=5.6.0”Œpython >=3.6”Œpython-picard”Œpyxdf”Œscikit-learn”Œscipy >=0.17.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×nküW+hEMÃhFˆubh)”}”(hŒpysnmp”h#Œ4.4.12”h%Œpy_0”h'K hhh(h)hŒpysnmp-4.4.12-py_0.tar.bz2”h+Œ 60a9b57b0407db0cffeaaae3964f1021”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pysnmp-4.4.12-py_0.tar.bz2”h0Œ@d84c7cac081444c041922e35b4af4a9d47ed177390fc131b2d1bc669802d1835”h2NhNh3(Œpyasn1 >=0.2.3”Œpycryptodomex”Œpysmi”Œpython”Œtrollius”Œtwisted”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×bÆ¤FffhEJC¹ hFˆubh)”}”(hŒr-bioset”h#Œ0.2.3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ$r-bioset-0.2.3-r42hc72bb7e_3.tar.bz2”h+Œ b0c0b722a3e1649b3f5bd83cf7402144”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bioset-0.2.3-r42hc72bb7e_3.tar.bz2”h0Œ@344a6d1eb3a81c19cadd5498f96944d54b21012d90624d0e493c5ff67310f64c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.4”Œr-magrittr >=1.5”Œr-rlang >=0.1.2”Œr-tibble >=1.3.4”Œr-tidyr >=0.7.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ¢¤hshEJ˜ hFˆubh)”}”(hŒr-tensor”h#Œ1.5”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ%r-tensor-1.5-r41hc72bb7e_1004.tar.bz2”h+Œ 1c1f59218161c485419e6175ed2e158c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tensor-1.5-r41hc72bb7e_1004.tar.bz2”h0Œ@b3d8b0ba828cc16c01c84a36635c9b408b709061d42466c1209923c735736098”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÐ\Ó¦¸RhEMþ|hFˆubh)”}”(hŒlibxscrnsaver-devel-cos6-x86_64”h#Œ1.2.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ:libxscrnsaver-devel-cos6-x86_64-1.2.2-hdf0574f_102.tar.bz2”h+Œ 0cdd622184dac0394572d1cab6b08889”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos6-x86_64-1.2.2-hdf0574f_102.tar.bz2”h0Œ@cec1286ef989d070335f275f8629824145ca9c0abd0603575b83403bd743e6c3”h2NhNh3Œ'libxscrnsaver-cos6-x86_64 ==1.2.2 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµKý/hEMí2hFˆubh)”}”(hŒlibx11-devel-cos6-x86_64”h#Œ1.6.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libx11-devel-cos6-x86_64-1.6.4-h9d98e8f_1104.tar.bz2”h+Œ 397653ae0c6062b3c256c39f49e91eb1”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos6-x86_64-1.6.4-h9d98e8f_1104.tar.bz2”h0Œ@79b0e5d2d28c04b2fbed8e449f2d0117984185042c12b1ca9613b0b6de84bc1e”h2NhNh3Œ!libx11-cos6-x86_64 ==1.6.4 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É}³£•hEJ`\ hFˆubh)”}”(hŒ
r-rredlist”h#Œ0.7.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-rredlist-0.7.1-r41hc72bb7e_0.tar.bz2”h+Œ 05d88f38fa589408ae7398e2e5292b57”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rredlist-0.7.1-r41hc72bb7e_0.tar.bz2”h0Œ@3ed7492218d9a6de637329243a054b851d26aa978b12ebd490aa1019e76f24a0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.3.8”Œr-jsonlite >=1.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÛ²øÌÍhEJÙh hFˆubh)”}”(hŒpytfa”h#Œ0.9.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ pytfa-0.9.4-pyhd8ed1ab_2.tar.bz2”h+Œ b0f052c4a3978fa02f0a0a44ed3ad090”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pytfa-0.9.4-pyhd8ed1ab_2.tar.bz2”h0Œ@b44f2a31f1946b9e8903bb897d9e00292996d0790ad35f615ac1518e2c79a253”h2NhNh3(Œbokeh >=0.12.1”Œcobra <=0.24.0”Œdepinfo <=1.6.0”Œequilibrator-api”Œequilibrator-cache”Œnetworkx”Œnumpy”Œoptlang”Œpandas”Œpython”Œpython-libsbml”Œscipy”Œtqdm”t”h9h?h@Œ
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r-semtools”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÊ5ªJhEJ*: hFˆubh)”}”(hŒ	r-lassopv”h#Œ0.2.0”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ(r-lassopv-0.2.0-r40hc72bb7e_1002.tar.bz2”h+Œ 88d46937d024b1cfb48a9cf402c64f0e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-lassopv-0.2.0-r40hc72bb7e_1002.tar.bz2”h0Œ@360d69bc6f2d67a22b1963bda2b9c51ea9c2b53cea192a285d98b2a8dbb29377”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lars”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+# 1'hEMË„hFˆubh)”}”(hŒr-dmwr2”h#Œ0.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-dmwr2-0.0.2-r41hc72bb7e_0.tar.bz2”h+Œ bb605c3815dc40949e132ecb88fa9fd4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dmwr2-0.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@f87bfe344b02db43147227870c01e99ee6b03fdc1eb8de79d3d6b41947e3fda0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-class >=7.3_14”Œr-dbi >=0.5”Œr-dplyr >=0.4.3”Œr-quantmod >=0.4_5”Œr-readr >=1.0.0”Œr-rpart >=4.1_10”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ.‚Ì{Æ¨hEJ¿Ÿ1 hFˆubh)”}”(hŒr-shinytoastr”h#Œ2.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-shinytoastr-2.1.1-r42hc72bb7e_1.tar.bz2”h+Œ dfec2039a3ec2b5ca99935a8b38740e6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinytoastr-2.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@dee3ea44f3901a1a85c9cd17138300756c6994aec1ebdf92b2833e9af1a98abe”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑF–‹DhEJÔh hFˆubh)”}”(hŒr-aws.ec2metadata”h#Œ0.2.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ-r-aws.ec2metadata-0.2.0-r36h6115d3f_0.tar.bz2”h+Œ 8ef2a982a4e963ca60a6ea0be5737a0f”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-aws.ec2metadata-0.2.0-r36h6115d3f_0.tar.bz2”h0Œ@f6ef4f46a764b187064b23d97aa241cf0ad212490b3b8a887a4889c2ab08a339”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-curl”Œ
r-jsonlite”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×S¢9²n˜hEM£yhFˆubh)”}”(hŒtree-format”h#Œ0.1.2”h%Œpy_0”h'K hhh(h)hŒtree-format-0.1.2-py_0.tar.bz2”h+Œ 2af19322063119b30dc43c02bb6acc8e”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/tree-format-0.1.2-py_0.tar.bz2”h0Œ@ce8d4974e0f14f7e0a591f7dac6f2305801d2a327d15918607b272a0874f11a2”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×6kÄ]¡ËhEM›-hFˆubh)”}”(hŒr-modes”h#Œ0.7.0”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ'r-modes-0.7.0-r351h6115d3f_1000.tar.bz2”h+Œ 854658d660632f4e6e04c3c74b1407a5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-modes-0.7.0-r351h6115d3f_1000.tar.bz2”h0Œ@4de3412e4c91ac649960d50b95ed73bcc642cf768d59b41e7d6037e4da75f684”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒCC BY-NC-SA 4.0”hBŒCC”hDGA×…B½`BhEMQÖhFˆubh)”}”(hŒibacm-cos7-ppc64le”h#Œ22.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,ibacm-cos7-ppc64le-22.4-h9d98e8f_104.tar.bz2”h+Œ b79c90e18a3a2a042e051c08e5f7afd4”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-ppc64le-22.4-h9d98e8f_104.tar.bz2”h0Œ@47ff3f9f65b82c41e22e8e2ab1c75c35c8ca757de31aa5997d4d45b535ae7237”h2NhNh3Œ#libibumad-cos7-ppc64le ==22.4 *_104”Œ$libibverbs-cos7-ppc64le ==22.4 *_104”Œ#rdma-core-cos7-ppc64le ==22.4 *_104”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É|Ã
=hEJ+w hFˆubh)”}”(hŒr-funr”h#Œ0.3.2”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ%r-funr-0.3.2-r41hc72bb7e_1003.tar.bz2”h+Œ a2321678419b6d7d4d9af37fd2460de9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-funr-0.3.2-r41hc72bb7e_1003.tar.bz2”h0Œ@8b1dd3b31f5f527ae891aa6ec272a92fd3ea5c11d18447f7a8e1385c7eb32fca”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsRãpr°hEM¬“hFˆubh)”}”(hŒr-fontbitstreamvera”h#Œ0.1.1”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ2r-fontbitstreamvera-0.1.1-r35h6115d3f_1002.tar.bz2”h+Œ 3632a2364c21f69a87f2d4c52c738c42”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-fontbitstreamvera-0.1.1-r35h6115d3f_1002.tar.bz2”h0Œ@8c537917164a71e50b82d0b2b5adb89a8f19797dc108f1cffbaf1692cb2970de”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒBitstream Vera Fonts”hBŒOTHER”hDGA×L(}ªJhEJ…	 hFˆubh)”}”(hŒr-eml”h#Œ2.0.6.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-eml-2.0.6.1-r40hc72bb7e_0.tar.bz2”h+Œ 8083b10ef6af33d9de268141a9a86d07”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-eml-2.0.6.1-r40hc72bb7e_0.tar.bz2”h0Œ@29b5ff76addb909a7c6a1e8afa4dbba9555d7b32d2bb7eab615849ec10d64952”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-dplyr”Œr-emld >=0.0.0.9900”Œr-jqr”Œ
r-jsonlite”Œr-rmarkdown”Œr-uuid”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØšÂsÐƒhEJ9d hFˆubh)”}”(hŒr-rcolorbrewer”h#Œ1.1_3”h%Œr40h785f33e_0”h'K hhh(h)hŒ*r-rcolorbrewer-1.1_3-r40h785f33e_0.tar.bz2”h+Œ 2f4cc83f5581e1948af357192f3e4411”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rcolorbrewer-1.1_3-r40h785f33e_0.tar.bz2”h0Œ@94833064c3f07eafb947892379605efe9ec6701c403b8ac2dfb1cf8401156369”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
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hEJ› hFˆubh)”}”(hŒ	yaml2ncml”h#Œ0.7.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$yaml2ncml-0.7.3-pyhd8ed1ab_0.tar.bz2”h+Œ 494586d1b065d69f4365beea43b0d95f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/yaml2ncml-0.7.3-pyhd8ed1ab_0.tar.bz2”h0Œ@ba8edf7cf5ca1ab64bd22f08bc2c008c7029653a5f2ddb4af0de8b5f1fa49fb3”h2NhNh3(Œdocopt”Œnetcdf4”Œpython >=3.6”Œruamel.yaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¨›S`ÄœhEM+hFˆubh)”}”(hŒr-mdmr”h#Œ0.5.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ"r-mdmr-0.5.1-r35h6115d3f_1.tar.bz2”h+Œ 9d7af6ad5b0c94a4de0c9c18bcfd287f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mdmr-0.5.1-r35h6115d3f_1.tar.bz2”h0Œ@e1916546372033eb054c06beadb0a397d18f0f8e4d7243682946b62b7af80353”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-car”Œr-compquadform”Œr-lme4”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LØ~ôí‘hEJð hFˆubh)”}”(hŒcfgrib”h#Œ0.9.9.1”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ#cfgrib-0.9.9.1-pyhd8ed1ab_2.tar.bz2”h+Œ 9fe8d7dc5f4d76b4d7cf9594dca6679b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.9.1-pyhd8ed1ab_2.tar.bz2”h0Œ@65963f94151f3be7f0e90244bcee9ce76593b8a5f5e09fd059982e2e24ec565b”h2NhNh3(Œattrs >=19.2”Œclick”Œnumpy”Œ	packaging”Œpython >=3.7”Œpython-eccodes >=0.9.8”Œ
setuptools”Œxarray >=0.15”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ}ùPë"ÑhEMÃ–hFˆubh)”}”(hŒlibxi-devel-cos6-x86_64”h#Œ1.7.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libxi-devel-cos6-x86_64-1.7.8-h9d98e8f_1104.tar.bz2”h+Œ eaf22ced1b593c1782eb460e26658682”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos6-x86_64-1.7.8-h9d98e8f_1104.tar.bz2”h0Œ@e4243468f7d5f05be410d8cf7d2de350b3d4f92d4d96147756ca8e15e535f5ce”h2NhNh3Œ libxi-cos6-x86_64 ==1.7.8 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~¸Û#hEJÿt hFˆubh)”}”(hŒr-glm2”h#Œ1.2.1”h%Œr41ha770c72_1004”h'Mìhhh(h)hŒ%r-glm2-1.2.1-r41ha770c72_1004.tar.bz2”h+Œ 0137c3d833d13622de753ab07d8967fd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-glm2-1.2.1-r41ha770c72_1004.tar.bz2”h0Œ@c41af409e9039e7f71d18e51d997eb8e2e3de0e98748c7aea8c56126d90d5cd4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ,ÚIº^hEJ:	 hFˆubh)”}”(hŒr-ibd”h#Œ1.5”h%Œr41hc72bb7e_2”h'Khhh(h)hŒr-ibd-1.5-r41hc72bb7e_2.tar.bz2”h+Œ 6f6510b8bfc8d25b39d48ac0fe5e4ebd”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ibd-1.5-r41hc72bb7e_2.tar.bz2”h0Œ@df7e6c50aaf474234f49adc9cd8636e34ebec93e6cec2b614711371a3ace3be9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ	r-emmeans”Œ	r-lpsolve”Œ
r-multcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,S6hEJ$ hFˆubh)”}”(hŒnodebook”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒnodebook-0.2.1-py_0.tar.bz2”h+Œ 79dccc4b8d0cfb832cbc8c1a992601e3”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/nodebook-0.2.1-py_0.tar.bz2”h0Œ@da284b457c967175c037a7457b76167d2ff60925f7085050b520ab5a4217b2e2”h2NhNh3(Œclick”Œdill”Œipython”Œjupyter”Œmsgpack-python”Œpandas”Œpython”t”h9h?h@Œ
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r-nparcomp”h#Œ3.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ$r-nparcomp-3.0-r42hc72bb7e_3.tar.bz2”h+Œ 09987680c45a369cf6b0ea5f047985fb”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nparcomp-3.0-r42hc72bb7e_3.tar.bz2”h0Œ@cae9a28d285d5da3d9406a390077aabd29a76494bb9bd108c92f6c59b5144be4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
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r-clustree”h#Œ0.5.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-clustree-0.5.0-r42hc72bb7e_1.tar.bz2”h+Œ c6d449c2f0a6f7e1a808bd60c3a5842f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-clustree-0.5.0-r42hc72bb7e_1.tar.bz2”h0Œ@5c7b6914ebac7bc59598b2a87249f203e2b40cab5a2e344879703dcde05908c1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-dplyr”Œ	r-ggplot2”Œr-ggraph”Œ	r-ggrepel”Œr-igraph”Œr-rlang”Œr-tidygraph”Œ	r-viridis”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒú¯ÎÙhEJÍ hFˆubh)”}”(hŒresampy”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"resampy-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ f3b1205938b22bd4b3945867928072ef”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/resampy-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@5369fb47f9587db00970e64c631ccd83ae4c29496b32dea45cd19ebe3b1e1118”h2NhNh3(Œnumba >=0.53”Œnumpy >=1.17.0”Œpython >=3.6”Œsetuptools >=48”t”h9h?h@ŒISC”hDGAØÈ,ºmhEJ“¹2 hFˆubh)”}”(hŒlibxtst-devel-cos6-x86_64”h#Œ1.2.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libxtst-devel-cos6-x86_64-1.2.3-h9d98e8f_104.tar.bz2”h+Œ a41e00deb6cd8bfb5a8279a94bde0da8”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos6-x86_64-1.2.3-h9d98e8f_104.tar.bz2”h0Œ@2cb28d70e1ac1410e0406395821043748d31c226c10cd7fa404cd1e256ab7828”h2NhNh3Œ!libxtst-cos6-x86_64 ==1.2.3 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ÿ‡hEMf1hFˆubh)”}”(hŒlibice-devel-cos7-ppc64le”h#Œ1.0.9”h%Œha826a6f_103”h'Kghhh(h)hŒ4libice-devel-cos7-ppc64le-1.0.9-ha826a6f_103.tar.bz2”h+Œ 5b167beb203ae55de4166689963702ae”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-ppc64le-1.0.9-ha826a6f_103.tar.bz2”h0Œ@5cb5d1e082b629ba3c927370728bea5cc24733de7a57e28e1a63eaee158ddd35”h2NhNh3Œ!libice-cos7-ppc64le ==1.0.9 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{}—²hEM€œhFˆubh)”}”(hŒat-spi-cos7-ppc64le”h#Œ1.32.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/at-spi-cos7-ppc64le-1.32.0-hdf0574f_102.tar.bz2”h+Œ 2887104a263d53b8dd03098b5bf8e067”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-ppc64le-1.32.0-hdf0574f_102.tar.bz2”h0Œ@59765581bbf00b5a885f5b7e90c20a3cc1b7449636f51895fdf44746b99849e4”h2NhNh3(Œatk-cos7-ppc64le >=1.29.2 *_102”Œ gtk2-cos7-ppc64le >=2.10.0 *_102”Œ!gtk2-cos7-ppc64le >=2.24.31 *_102”Œ$libbonobo-cos7-ppc64le >=2.4.0 *_102”Œ!orbit2-cos7-ppc64le >=2.6.0 *_102”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi—¯ÎÙhEJ¼\ hFˆubh)”}”(hŒlibxshmfence-cos7-ppc64le”h#Œ1.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libxshmfence-cos7-ppc64le-1.2-h9d98e8f_1104.tar.bz2”h+Œ 69d26d8cfa7e22be77f330013821483c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-ppc64le-1.2-h9d98e8f_1104.tar.bz2”h0Œ@61cbf9bb9eccf8bb6f4538cf85da558ee93a754f896c2fc6e7dcfebca45c7a0b”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyðyhshEMR#hFˆubh)”}”(hŒuptime”h#Œ3.0.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!uptime-3.0.1-pyh9f0ad1d_0.tar.bz2”h+Œ 4699a4745d53d2ba6abd74f34b219dab”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/uptime-3.0.1-pyh9f0ad1d_0.tar.bz2”h0Œ@8278e4f20f554594beaafa0651d04a8a1d6017381c986330c2290fa683c40488”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ÀÑ“qÛ#hEMÇ%hFˆubh)”}”(hŒotwrapy”h#Œ0.11”h%Œpyh807953b_0”h'K hhh(h)hŒ!otwrapy-0.11-pyh807953b_0.tar.bz2”h+Œ fba13411016ba70376ba38b7fc715e3a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/otwrapy-0.11-pyh807953b_0.tar.bz2”h0Œ@f280ca2229d10e721b26dbec5c2447dbd5844e853a024e286bb9a9e1441cf576”h2NhNh3(Œasyncssh”Œdask”Œipyparallel >=5.0.1”Œjoblib >=0.9.3”Œnumpy”Œopenturns >=1.16”Œpathos >=0.2.0”Œpython >=3.6”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØžN  “uhEMœ‡hFˆubh)”}”(hŒr-rhandsontable”h#Œ0.3.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-rhandsontable-0.3.8-r42hc72bb7e_1.tar.bz2”h+Œ d1fdc230af9c78bd8eef10d5afb3f88c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rhandsontable-0.3.8-r42hc72bb7e_1.tar.bz2”h0Œ@88fb6692d802bc5ee05214131636101544c1b8feaa089c5d0151441c770b1299”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmlwidgets >=0.3.3”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐðñ–éyhEJ¦- hFˆubh)”}”(hŒr-optimbase”h#Œ1.0_10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-optimbase-1.0_10-r41hc72bb7e_0.tar.bz2”h+Œ 861e85478aecb501ece03f6bd9500a1e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-optimbase-1.0_10-r41hc72bb7e_0.tar.bz2”h0Œ@36fd457ad3a7cfcfa12920f71b78663aa3960a1ac4e4945c0cbc75d8a2fa76db”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”†”h9hºh@ŒCeCILL-2”hBŒOTHER”hDGAØ|tsÏ hEJÓ hFˆubh)”}”(hŒnotebookscripter”h#Œ6.0.0”h%Œpy_0”h'K hhh(h)hŒ#notebookscripter-6.0.0-py_0.tar.bz2”h+Œ 93c1fc8ba97ff651472f4bcbf2798a70”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/notebookscripter-6.0.0-py_0.tar.bz2”h0Œ@77987f7bef2ad44da43f4028b5c46f0e6ea24785bb4f78a2ec1002bc5173aa04”h2NhNh3Œipython”Œnbformat”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×A— ÀƒhEM+hFˆubh)”}”(hŒp11-kit-trust-cos6-x86_64”h#Œ0.18.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5p11-kit-trust-cos6-x86_64-0.18.5-hdf0574f_102.tar.bz2”h+Œ d3b4d3d4af8118a2004d4ca322780f23”h.Œchttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos6-x86_64-0.18.5-hdf0574f_102.tar.bz2”h0Œ@41b5cfcf3e0673a5b0aa7ca14614a533fdf492a41018d114cdb12846e9896531”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Åá{ðA‰hEJ* hFˆubh)”}”(hŒnptyping”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#nptyping-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ d628cf26fd90ae2bcec01957cc9dcf55”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/nptyping-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@acb55998e95212013a05b6833f6df7e6c21b8ec2a01a64ee6c99b111acefe255”h2NhNh3Œnumpy”Œpython >=3.6”Œtypish >=1.5.2”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØšÓ¼×¾whEM:hFˆubh)”}”(hŒlibrdmacm-cos7-ppc64le”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1librdmacm-cos7-ppc64le-22.4-h9d98e8f_1104.tar.bz2”h+Œ c8d8c69079e284182e8c101172491b10”h.Œ_https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-ppc64le-22.4-h9d98e8f_1104.tar.bz2”h0Œ@c952737a9b48e60f7e3279340a98c09771e525607b8d642e895fdcc3b3ce3ef3”h2NhNh3Œ%libibverbs-cos7-ppc64le ==22.4 *_1104”Œ$rdma-core-cos7-ppc64le ==22.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É)ê\hEJ­, hFˆubh)”}”(hŒ	emmet-api”h#Œ0.38.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%emmet-api-0.38.6-pyhd8ed1ab_0.tar.bz2”h+Œ 0f0921a3a3554d0f2369f2f082fe42e5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/emmet-api-0.38.6-pyhd8ed1ab_0.tar.bz2”h0Œ@832921e9148370176a77580cda0fcfdb9939ef72c6613e2e652a33aec5bd6530”h2NhNh3(Œboto3”Œ
emmet-core”Œfastapi”Œgunicorn”Œmaggma”Œpython >=3.8”Œuvicorn”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÖ!!-p¤hEM]ŸhFˆubh)”}”(hŒr-assertive.files”h#Œ0.0_2”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ0r-assertive.files-0.0_2-r35h6115d3f_1002.tar.bz2”h+Œ 560c3959a28703435a090eabf25976a8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.files-0.0_2-r35h6115d3f_1002.tar.bz2”h0Œ@9e509d98d7e86cfa9534a9cd26117b85fc4b059055dfb00c2e59b0259ea4442e”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.numbers”Œr-base >=3.5,<3.6.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LÌ%hEJK hFˆubh)”}”(hŒ	rb-jemoji”h#Œ0.11.1”h%Œ
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setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×œæäjhEMÕhFˆubh)”}”(hŒflytekitplugins-spark”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0flytekitplugins-spark-1.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 81f5ce8298da4191e45797122dfcc076”h.Œ^https://conda.anaconda.org/conda-forge/noarch/flytekitplugins-spark-1.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@b321a58f80041004957c003bda1ca2e7952116754f8653f89c242b728674e72b”h2NhNh3Œflytekit >=1.0.0b3,<1.2.0”Œpyspark >=3.0.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ»]Ek33hEM/DhFˆubh)”}”(hŒr-rebus.unicode”h#Œ0.0_2”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ.r-rebus.unicode-0.0_2-r40hc72bb7e_1002.tar.bz2”h+Œ 516e7fab06873c47da73507f83d80516”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rebus.unicode-0.0_2-r40hc72bb7e_1002.tar.bz2”h0Œ@bcb6de06967861b537c91b190d41ff6c79123686a38362e0b1eb8293e31e6ea9”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rebus.base >=0.0_2”†”h9hºh@Œ	Unlimited”hDGAØ+ QffhEJýb hFˆubh)”}”(hŒlibxcb-devel-cos7-ppc64le”h#Œ1.13”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libxcb-devel-cos7-ppc64le-1.13-h9d98e8f_1104.tar.bz2”h+Œ 1940b5b15e98043193e31ebfd9f00feb”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxcb-devel-cos7-ppc64le-1.13-h9d98e8f_1104.tar.bz2”h0Œ@3b88cdf19e7fd7c0ecbe722b475074d25d625dbbf182c44c664be2554b9ee6dc”h2NhNh3Œ!libxcb-cos7-ppc64le ==1.13 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ó}2-hEJH hFˆubh)”}”(hŒr-piggyback”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-piggyback-0.1.4-r41hc72bb7e_0.tar.bz2”h+Œ ca38a72453bbdf6bb0465b935282a2a4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-piggyback-0.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@e09d85010131c1fdd4befaebab634f38efb903e1c04c3bd4f9a1d8d4037a7805”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-fs”Œr-gh”Œr-glue”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ	r-memoise”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÉ8þLzáhEJ9Q	 hFˆubh)”}”(hŒ	rb-dotenv”h#Œ2.7.6”h%Œ
h5df7e58_0”h'K hhh(h)hŒ"rb-dotenv-2.7.6-h5df7e58_0.tar.bz2”h+Œ 179881e994c04490eee79d2bf7931544”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-dotenv-2.7.6-h5df7e58_0.tar.bz2”h0Œ@74fd9f6a3599e7ec100766861c674748bf018e8ff11f3d7d2fd71c50bdb95e07”h2NhNh3Œruby >=2.6.6,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØYÊËVÙhEM?^hFˆubh)”}”(hŒr-ic10trainingdata”h#Œ1.3.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ1r-ic10trainingdata-1.3.1-r41hc72bb7e_1003.tar.bz2”h+Œ 5d5e133a47dae0258d37e9e880bfabf9”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-ic10trainingdata-1.3.1-r41hc72bb7e_1003.tar.bz2”h0Œ@9d8c1982ef250292c0c5dedaf2e9e3a905269a0d2e1fc2ce31151cd37bcacf60”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒaw!%hEJ¹¯a hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGAØ+"¢
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ipywidgets”Œmms-python-client”Œpython >=3.6”t”h9h?h@Œ
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r-multcomp”t”h9hºh@Œ
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jupyterlab”Œmultiprocess”Œnapari”Œnodejs”Œopencv”Œopenjdk 8.*”Œopenpyxl”Œpandas”Œpyimagej”Œ
pystackreg”Œpytables”Œpython >=3.8”Œscikit-image”Œscikit-learn”Œsilx”Œtifffile”Œtomopy”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØØH?²hEJ@I hFˆubh)”}”(hŒr-ggjoy”h#Œ0.4.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-ggjoy-0.4.1-r36h6115d3f_1002.tar.bz2”h+Œ 333230bd8f073381170962f58e627ab9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggjoy-0.4.1-r36h6115d3f_1002.tar.bz2”h0Œ@b272e947f405e7cc993ff0b16b97f79f2be8518f4ae796b776a7165f5035f9d3”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-ggridges >=0.4.0”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Lÿñ¸1'hEMª|hFˆubh)”}”(hŒcoqui-trainer”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(coqui-trainer-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ fc74f3c686d7c6ef933ca3ea2e5c96cc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/coqui-trainer-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@1d14a5da0688a6cb7470c3d360a5c9e2883def0f8660ca7a00d034f744d1dcfb”h2NhNh3(Œcoqpit”Œfsspec”Œpysoundfile”Œpython >=3.6,<3.10”Œpytorch >=1.7”Œtensorboardx”t”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÒ`¸Œ›¦hEJu— hFˆubh)”}”(hŒ	typeguard”h#Œ2.13.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%typeguard-2.13.3-pyhd8ed1ab_0.tar.bz2”h+Œ af104e581c40c72813864454962e1795”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/typeguard-2.13.3-pyhd8ed1ab_0.tar.bz2”h0Œ@5e6a3b92c4f99b7b51c646669ad9dbffd307a788fda0001dc82476de8e67ad67”h2NhNh3Œpython >=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸Rûa%hEMÇLhFˆubh)”}”(hŒr-tfplot”h#Œ2021.6_1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-tfplot-2021.6_1-r40hc72bb7e_0.tar.bz2”h+Œ ccf8fdee190340502041baa6a803b43a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tfplot-2021.6_1-r40hc72bb7e_0.tar.bz2”h0Œ@5f8c494e1fd43d6e0acb1e819e7e7f7445a164ba0898fadddbe8660983192292”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-tframe”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ“ ^j=qhEJòG hFˆubh)”}”(hŒr-hiver”h#Œ0.3.63”h%Œr40h6115d3f_0”h'K hhh(h)hŒ$r-hiver-0.3.63-r40h6115d3f_0.tar.bz2”h+Œ 66c71d46f5595ac001f0acc50d8217b3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-hiver-0.3.63-r40h6115d3f_0.tar.bz2”h0Œ@8c46e94f25bcabfa2cd299e0899b31a508d5b1dc6dfa9b95dce1268ed645997b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-jpeg”Œr-plyr”Œr-png”Œr-rcolorbrewer”Œr-rgl”Œr-tkrgl”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×·æyœ9XhEJ€. hFˆubh)”}”(hŒlibxshmfence-devel-cos6-x86_64”h#Œ1.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7libxshmfence-devel-cos6-x86_64-1.2-h9d98e8f_104.tar.bz2”h+Œ 48fce0a1f75ff9e313b275941e391ed6”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos6-x86_64-1.2-h9d98e8f_104.tar.bz2”h0Œ@df8f173b824d34fe918340af125115e8eb41e61c8ba16c500e26a808ea2cacd2”h2NhNh3Œ$libxshmfence-cos6-x86_64 ==1.2 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzCÿ²hEMÓhFˆubh)”}”(hŒr-reproj”h#Œ0.4.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-reproj-0.4.3-r42hc72bb7e_0.tar.bz2”h+Œ 3d7a75cae0674275c0fc2cd52ec04a52”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reproj-0.4.3-r42hc72bb7e_0.tar.bz2”h0Œ@6a484888e80148165354a144da82a55b5c7f3fe63bd78eb1eb852c1762be6478”h2NhNh3(Œproj >=4.4.6”Œr-base >=4.2,<4.3.0a0”Œr-crsmeta >=0.3.0”Œr-proj >=0.1.6”Œr-proj4”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ×N÷²hEJá hFˆubh)”}”(hŒr-diffusionmap”h#Œ1.2.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ*r-diffusionmap-1.2.0-r40h6115d3f_1.tar.bz2”h+Œ 0a7fb58fb8b5003ec6929785aea35b3c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-diffusionmap-1.2.0-r40h6115d3f_1.tar.bz2”h0Œ@8c1429893297a5ad294d8e1772c15f77ca7be5f64e00103ca44c16be9970546c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-igraph”Œr-matrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬ãßî—hEJ^~ hFˆubh)”}”(hŒjupyternotify”h#Œ0.1.15”h%Œpy_0”h'K hhh(h)hŒ!jupyternotify-0.1.15-py_0.tar.bz2”h+Œ ea1e12dd954111c145a79c2b612b72aa”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/jupyternotify-0.1.15-py_0.tar.bz2”h0Œ@26f710e786018a72cebad254426bdf7f7f5214d5bb8420a73ed363bac41bb080”h2NhNh3(Œipython”Œjupyter”Œpython”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEMØ,hFˆubh)”}”(hŒlibxt-cos6-x86_64”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ,libxt-cos6-x86_64-1.1.4-ha826a6f_103.tar.bz2”h+Œ 5c7d640afa9894fd2c75dd4764770e67”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libxt-cos6-x86_64-1.1.4-ha826a6f_103.tar.bz2”h0Œ@276cf5832bb775c272dfee7cb7219bab300633c1080f101a553907bddeaf20b0”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1ÈÑº^hEJ° hFˆubh)”}”(hŒ
r-alluvial”h#Œ0.1_2”h%Œr35_1001”h'Méhhh(h)hŒ!r-alluvial-0.1_2-r35_1001.tar.bz2”h+Œ 8fd39c3692b89f2343dd5e3fce9b3df8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r35_1001.tar.bz2”h0Œ@7a67ca92a90c88fa50822d35e4327706d7bf2c870b6f77ffc51f128a3153f503”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×L’Ùë…hEJx hFˆubh)”}”(hŒr-magicaxis”h#Œ2.2.14”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-magicaxis-2.2.14-r40hc72bb7e_0.tar.bz2”h+Œ e46dcea83a65d6e7323e84f9fcddd49a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-magicaxis-2.2.14-r40hc72bb7e_0.tar.bz2”h0Œ@ead7f0e8e3b04db6ad497d5ffe76f7c325b62be09d02dbf0e16d326cb4ccadc9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-celestial >=1.4.1”Œ	r-mapproj”Œr-mass”Œ	r-plotrix”Œr-rcolorbrewer”Œr-sm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ…$xA‰hEJÅD; hFˆubh)”}”(hŒsubprocess32”h#Œ3.5.4”h%Œpy_1”h'Khhh(h)hŒsubprocess32-3.5.4-py_1.tar.bz2”h+Œ 9756be877a60d451613367a4c29bf3e0”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/subprocess32-3.5.4-py_1.tar.bz2”h0Œ@b6f826b819b235c5e6c2522ba401855f4c33345a409e413ace2d244797e5c5c0”h2NhNh3Œ
python >=3”…”h9h?h@Œ
Python-2.0”hDGA×Ò;ž>¸RhEM*hFˆubh)”}”(hŒglib-networking-cos7-x86_64”h#Œ2.56.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8glib-networking-cos7-x86_64-2.56.1-h9b0a68f_1105.tar.bz2”h+Œ f3459339afffbef15f575d8dd1c6e009”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/glib-networking-cos7-x86_64-2.56.1-h9b0a68f_1105.tar.bz2”h0Œ@2c537a9e47bee8d53dd50bd881093d14c5a9ae04f0b41c5cdb5779306b219295”h2NhNh3Œ!glib2-cos7-x86_64 >=2.55.1 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@kEWß;hEJ¼N hFˆubh)”}”(hŒxcb-util-wm-devel-cos6-x86_64”h#Œ0.4.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ9xcb-util-wm-devel-cos6-x86_64-0.4.1-h9b0a68f_1105.tar.bz2”h+Œ 045b6a3ae6d5e94af227d9a8ebe7ed0b”h.Œghttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-devel-cos6-x86_64-0.4.1-h9b0a68f_1105.tar.bz2”h0Œ@466b280bad5874ea3cba3445f26731d18ea262ef91725cb160d771b7423cd830”h2NhNh3Œsysroot_linux-64 2.12.*”Œ&xcb-util-wm-cos6-x86_64 ==0.4.1 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØu$_.‡+hEMŒMhFˆubh)”}”(hŒcockroachdb-python”h#Œ0.3.5”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ-cockroachdb-python-0.3.5-pyh9f0ad1d_0.tar.bz2”h+Œ 52eb956d185871d7ebef4a90b90bc366”h.Œ[https://conda.anaconda.org/conda-forge/noarch/cockroachdb-python-0.3.5-pyh9f0ad1d_0.tar.bz2”h0Œ@194e471cfce4b9045cf9bfa80ddca39bac9d3b615f1264761932f3b3adc81ec9”h2NhNh3(Œpsycopg2”Œpython”Œ
setuptools”Œ
sqlalchemy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×±Š[t¼hEM1EhFˆubh)”}”(hŒimantics”h#Œ0.1.12”h%Œpy_0”h'K hhh(h)hŒimantics-0.1.12-py_0.tar.bz2”h+Œ 97189425ee3fca22ee1d5a5ff655f140”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/imantics-0.1.12-py_0.tar.bz2”h0Œ@1e7ad5e69f8a89b83bd2a7e93ebd00d4656292a4501c01b8cd3367d1be915326”h2NhNh3(Œlxml”Œnumpy”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØ*Ôò\hEJŠë
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r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ?‰Ût¼hEJd hFˆubh)”}”(hŒ	r-mitools”h#Œ2.4”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ#r-mitools-2.4-r40hc72bb7e_2.tar.bz2”h+Œ 5a44c7ac84377642ecf6fe48adf65038”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mitools-2.4-r40hc72bb7e_2.tar.bz2”h0Œ@d485141e8fb95c5d71852e318dc81f61ac0e5e7d8748a760aeb6d782802848f0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-dbi”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ç§Þ¸RhEJäƒ hFˆubh)”}”(hŒlibjpeg-turbo-cos7-x86_64”h#Œ1.2.90”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libjpeg-turbo-cos7-x86_64-1.2.90-h9b0a68f_1105.tar.bz2”h+Œ 6caa11601ae53ef580e87bd782158279”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-x86_64-1.2.90-h9b0a68f_1105.tar.bz2”h0Œ@cf81393402a99b33f6f2ac17cc9f43df1b8b6f24765bee30ffe343c41f903c41”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒIJG”hBŒOther”hDGAØ@h—“hEJ—F hFˆubh)”}”(hŒ
limix-core”h#Œ1.0.2”h%Œpy_3”h'Khhh(h)hŒlimix-core-1.0.2-py_3.tar.bz2”h+Œ 6898320f6f0a53c46f409ce99708cda8”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/limix-core-1.0.2-py_3.tar.bz2”h0Œ@c8076bdf35c396f3d873113fa7de40cefa33ce1d8bc90fc35438937eb382bc47”h2NhNh3(Œnumpy >=1.14.5”Œpython”Œscipy >=1.1.0”Œsix”t”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAÖÒ$g×|îhEM€ÈhFˆubh)”}”(hŒpyprobe”h#Œ0.1.2”h%Œpy_0”h'K hhh(h)hŒpyprobe-0.1.2-py_0.tar.bz2”h+Œ 0f19063884cec07ea5aef0c3b41e9c4e”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pyprobe-0.1.2-py_0.tar.bz2”h0Œ@5c65e22ca7bb03d25e23950abccef2aaa168f99975ce77336e26f07af7189430”h2NhNh3Œffmpeg”Œpython >=3.0”†”h9h?h@ŒMIT”hBŒMIT”hDGA×½çlõ‘hhEM=.hFˆubh)”}”(hŒr-futile.logger”h#Œ1.4.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ.r-futile.logger-1.4.3-r36h6115d3f_1002.tar.bz2”h+Œ 01400a70dcf133ce53ec3eb6eb09ba48”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-futile.logger-1.4.3-r36h6115d3f_1002.tar.bz2”h0Œ@18399eb82543f38a720fa6b5bb28801ea3d18788b8644982e439a80be1694356”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-futile.options”Œr-lambda.r >=1.1.0”‡”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×Kþ²è  hEJUž hFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-registry-0.5_1-r41hc72bb7e_2.tar.bz2”h+Œ af5232d2e9bc71f41e8269dfd81106ee”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r41hc72bb7e_2.tar.bz2”h0Œ@31c3dfcaae26f1ad369e5fa7a79c819fd23715745dce4888a4392bffd5a0b2a6”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ÙÙ•VhEJä3 hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-ppc64le”h#Œ1.20.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ@xorg-x11-server-common-cos7-ppc64le-1.20.4-ha826a6f_1103.tar.bz2”h+Œ 886e31f0dd89f59f7e653c0eeab54347”h.Œnhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-ppc64le-1.20.4-ha826a6f_1103.tar.bz2”h0Œ@ba576e1d1e564c3692ce8bb1d3824b5dec7b98d9fe2128640e4c95294ba8dbd3”h2NhNh3Œ#pixman-cos7-ppc64le >=0.30.0 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2†È´hEM*…hFˆubh)”}”(hŒr-param6”h#Œ0.2.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-param6-0.2.4-r42hc72bb7e_1.tar.bz2”h+Œ 05e64624310f21d0632b02abebf8ffef”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-param6-0.2.4-r42hc72bb7e_1.tar.bz2”h0Œ@c7267a4ac8c19d464b19f477cf264318a6dbb430045ca594e7716ee2205fb35f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œr-dictionar6 >=0.1.2”Œr-r6”Œr-set6 >=0.2.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒËf®ÙhEJÉ› hFˆubh)”}”(hŒ
r-xlsxjars”h#Œ0.6.1”h%Œr41hc72bb7e_4”h'Khhh(h)hŒ&r-xlsxjars-0.6.1-r41hc72bb7e_4.tar.bz2”h+Œ c7ee8c2f0519c0d7fe0e96a4492ba6da”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xlsxjars-0.6.1-r41hc72bb7e_4.tar.bz2”h0Œ@3f30ac5525ea99d7fd5411ec67286f56fded9f75a6928a338c3a649ee646273e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ
“uhEJåÆ hFˆubh)”}”(hŒr-networkd3”h#Œ0.4”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ(r-networkd3-0.4-r41hc72bb7e_1004.tar.bz2”h+Œ a755e5190de638faa480434d66498b0f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-networkd3-0.4-r41hc72bb7e_1004.tar.bz2”h0Œ@7acfe9b0735d7a22fcab70fe44530aad1cc8c83585c4eab2a9592b164c868524”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets >=0.3.2”Œr-igraph”Œ
r-magrittr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+<j9hshEJæ( hFˆubh)”}”(hŒnumactl-devel-cos6-x86_64”h#Œ2.0.9”h%Œ
h1341992_0”h'K hhh(h)hŒ2numactl-devel-cos6-x86_64-2.0.9-h1341992_0.tar.bz2”h+Œ f096a26b6eae520761f11654c45c8a0e”h.Œ`https://conda.anaconda.org/conda-forge/noarch/numactl-devel-cos6-x86_64-2.0.9-h1341992_0.tar.bz2”h0Œ@fe5a9233ee52337633d19b48ddc3f66118dc8687f3f2566b01b676bbfd2598fc”h2NhNh3Œnumactl-cos6-x86_64 2.0.9”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2/GPLv2”hBŒGPL2”hDGA×UÀ4–éyhEM&ÔhFˆubh)”}”(hŒgrin”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒgrin-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5dfc5cfecbfc57c3b56a6cb0dd94a5a7”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/grin-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fa60c2909e119d9b52df23a1573c8851e1c1b57b9354a9eacd22520486599b5d”h2NhNh3Œ
python >=3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ó¢O:ÐåhEMßJhFˆubh)”}”(hŒr-bridgesampling”h#Œ1.1_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-bridgesampling-1.1_2-r41hc72bb7e_0.tar.bz2”h+Œ 4c2f1d0fd905f8d15199a301e5673af6”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-bridgesampling-1.1_2-r41hc72bb7e_0.tar.bz2”h0Œ@826757da9b790a0d507f4e1d482dd5ff97e975125a3a8536e72985fe5f43a1c1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-brobdingnag”Œr-coda”Œr-matrix”Œ	r-mvtnorm”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ*ðä^{hEJ7 hFˆubh)”}”(hŒalsa-lib-devel-cos7-aarch64”h#Œ1.1.8”h%Œha826a6f_103”h'Kghhh(h)hŒ6alsa-lib-devel-cos7-aarch64-1.1.8-ha826a6f_103.tar.bz2”h+Œ 36e5921a44367214364d7e1b0854201d”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/alsa-lib-devel-cos7-aarch64-1.1.8-ha826a6f_103.tar.bz2”h0Œ@a6639a9e205a3117fb4c6f7c3df6d753c2827a9972b0d1b79d82b1b7aaf61db0”h2NhNh3Œ#alsa-lib-cos7-aarch64 ==1.1.8 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{y™º^hEJi‰ hFˆubh)”}”(hŒr-scrime”h#Œ1.3.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-scrime-1.3.5-r41hc72bb7e_1.tar.bz2”h+Œ 10535267c703a045160bac41ac21227a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-scrime-1.3.5-r41hc72bb7e_1.tar.bz2”h0Œ@5fe19d20f5105eea376ba1d768baf10c6372103fec058715171a488052b087e9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+÷“t¼hEJ/, hFˆubh)”}”(hŒsnowflake-ingest”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+snowflake-ingest-1.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 9af5cc416086b68cce8136766c2de170”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/snowflake-ingest-1.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@495cb2b320be17fa73c4858de16e8aeeac7de258e2c9818ead8c469feacd979f”h2NhNh3(Œcryptography”Œfurl”Œpyjwt”Œpython >=3.6”Œrequests <=2.28.1”Œ"snowflake-connector-python >=2.2.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÙŠÐ	™šhEM›JhFˆubh)”}”(hŒzarr”h#Œ2.10.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ zarr-2.10.3-pyhd8ed1ab_0.tar.bz2”h+Œ e3e09051fcbef944db14078e1ac96a5d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/zarr-2.10.3-pyhd8ed1ab_0.tar.bz2”h0Œ@61734e44285c7f07e44f0ed751a7305c1cd1ab25cd1d038e0b857377a28d849d”h2NhNh3(Œ	asciitree”Œ	fasteners”Œnumcodecs >=0.6.4”Œnumpy >=1.7”Œpython >=3.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØeßç(öhEJö¹ hFˆubh)”}”(hŒ	r-downlit”h#Œ0.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-downlit-0.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 9c051caa0fcb3ecb08bd1e902e7f4e8e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-downlit-0.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@7eeb3e970f5e475406304fbb225b271b516eb7c7112f0195157a992a59aebca6”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-brio”Œr-desc”Œr-digest”Œ
r-evaluate”Œr-fansi”Œ	r-memoise”Œr-rlang”Œr-vctrs”Œr-withr”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ°ùE‰‡hEJ_Ü hFˆubh)”}”(hŒ
r-caroline”h#Œ0.9.0”h%Œr41ha770c72_0”h'K hhh(h)hŒ&r-caroline-0.9.0-r41ha770c72_0.tar.bz2”h+Œ 0dc535837fc0fe4cb31b56e07e35fed7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-caroline-0.9.0-r41ha770c72_0.tar.bz2”h0Œ@8bce617ad0e997ef6d340ae407687ed026d476f5eb1692e92de1cacfcc1ea457”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÛè”ýôhEJ7Ã hFˆubh)”}”(hŒat-spi-devel-cos7-ppc64le”h#Œ1.32.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6at-spi-devel-cos7-ppc64le-1.32.0-h9b0a68f_1105.tar.bz2”h+Œ 68bb1f56ef2c6218424549f4dce94174”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos7-ppc64le-1.32.0-h9b0a68f_1105.tar.bz2”h0Œ@185dbc62125384042a38f09ead5c2df76102b92f84835a82f6e88804f27a861e”h2NhNh3(Œ#at-spi-cos7-ppc64le ==1.32.0 *_1105”Œ&atk-devel-cos7-ppc64le >=1.29.2 *_1105”Œ'gtk2-devel-cos7-ppc64le >=2.10.0 *_1105”Œ+libbonobo-devel-cos7-ppc64le >=2.4.0 *_1105”Œ(orbit2-devel-cos7-ppc64le >=2.6.0 *_1105”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@’åp£×hEJ¤a hFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ.libx11-cos6-x86_64-1.6.4-ha826a6f_1103.tar.bz2”h+Œ 712b79c811f100b5f86e810370466753”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-ha826a6f_1103.tar.bz2”h0Œ@d306f6ae73254f476e57456b1b7cc980041bf90eedb49040194beba2a9714c5a”h2NhNh3Œ(libx11-common-cos6-x86_64 ==1.6.4 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2,¿l‹hEJ¡| hFˆubh)”}”(hŒgridstack.js”h#Œ0.6.0”h%j3G h'K hhh(h)hŒgridstack.js-0.6.0-0.tar.bz2”h+Œ 6425b715361e58afd272b115daca895a”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/gridstack.js-0.6.0-0.tar.bz2”h0Œ@3c5ce143e5d0d2a3f82842afc1c0fb93ff613bc66024e588357ec2cc40abdd66”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×ƒ˜¹KC–hEJ#d hFˆubh)”}”(hŒqrcode-artistic”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*qrcode-artistic-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4c83e025e90b7519d453e7caf0529439”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/qrcode-artistic-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3765caace5316505c8084e6db9700891d94a188d9fb5a7d75f5c417c44787ea2”h2NhNh3Œpython >=3.6”Œqrcode-artistic-base 2.1.0.*”Œqrcode-artistic-svg 2.1.0.*”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØã}²-hEJ"î hFˆubh)”}”(hŒr-yarrr”h#Œ0.1.5”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-yarrr-0.1.5-r41hc72bb7e_1003.tar.bz2”h+Œ 58996dc78c2a80ce58897e7f492b9146”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-yarrr-0.1.5-r41hc72bb7e_1003.tar.bz2”h0Œ@89aa21dcb080d10a2c3b841a619805b116df5726fbdf32a6ad2ecaa967a993c7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayesfactor”Œ
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r-convertr”Œ
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r-envstats”Œr-matrix”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ÀÉÍOßhEJèä# hFˆubh)”}”(hŒmultio”h#Œ0.2.5”h%Œpy_0”h'K hhh(h)hŒmultio-0.2.5-py_0.tar.bz2”h+Œ fd088742c5ca9a5773eece0033cce8fd”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/multio-0.2.5-py_0.tar.bz2”h0Œ@74ec399515e0e709dd4f65e3ff775d684542f41e2bcb994b5510090d85a1e90a”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGA×fÕmhEM%hFˆubh)”}”(hŒcairo-devel-cos7-ppc64le”h#Œ1.15.12”h%Œha826a6f_103”h'Kghhh(h)hŒ5cairo-devel-cos7-ppc64le-1.15.12-ha826a6f_103.tar.bz2”h+Œ e6b451aceec65c15f75be18cb05d562f”h.Œchttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-ppc64le-1.15.12-ha826a6f_103.tar.bz2”h0Œ@d400768b1ff323e3aa6ee7a88fc085233391e8d5abaad341942010011a0a25f9”h2NhNh3Œ"cairo-cos7-ppc64le ==1.15.12 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Æ0–ˆ1'hEJ?¾ hFˆubh)”}”(hŒnspr-cos6-x86_64”h#Œ4.19.0”h%Œha826a6f_103”h'Kghhh(h)hŒ,nspr-cos6-x86_64-4.19.0-ha826a6f_103.tar.bz2”h+Œ 4efe5d0ace84e4d42358ccb0ea8c0007”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nspr-cos6-x86_64-4.19.0-ha826a6f_103.tar.bz2”h0Œ@103b91f203c569f7e457108b84905d41e92b2c6cf2b7ff367388b5ae5ea26932”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ/wÚ¬hEJÍù hFˆubh)”}”(hŒciocheck”h#Œ0.1.1”h%Œpy_2”h'Khhh(h)hŒciocheck-0.1.1-py_2.tar.bz2”h+Œ f3ca2aad62ed571b34871c404979617a”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/ciocheck-0.1.1-py_2.tar.bz2”h0Œ@ae07543733db8a12fd5a54817a5e44339767bf8b871d7d21de7441e8782db98e”h2NhNh3(Œautopep8”Œcoverage”Œflake8”Œisort”Œ
pydocstyle”Œpylint”Œpytest”Œ
pytest-cov”Œpytest-json”Œpytest-xdist”Œpython”Œsix”Œyapf”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÔ¦ÑŽhEMÝVhFˆubh)”}”(hŒpciutils-cos7-ppc64le”h#Œ3.5.1”h%Œha826a6f_103”h'Kghhh(h)hŒ0pciutils-cos7-ppc64le-3.5.1-ha826a6f_103.tar.bz2”h+Œ 37c3510b529a52729d0cc21fd26f5a4e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/pciutils-cos7-ppc64le-3.5.1-ha826a6f_103.tar.bz2”h0Œ@fd71e69017900eeff8f0e12ad21b06ea49ed24ca1aeee3f9141923548bcf07b3”h2NhNh3Œ(pciutils-libs-cos7-ppc64le ==3.5.1 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ{P r°hEJc hFˆubh)”}”(hŒ	jamotools”h#Œ0.1.10”h%Œpy_1”h'Khhh(h)hŒjamotools-0.1.10-py_1.tar.bz2”h+Œ 2abe0fd79577dbb699ffc8eb43f29c38”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/jamotools-0.1.10-py_1.tar.bz2”h0Œ@35e68b5aa557d77a8e0137e38222eda419a39751d65f54213e0c4ac1cf778857”h2NhNh3(Œfuture”Œnumpy”Œpython”Œsix”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×š—ÓpõÃhEMy]hFˆubh)”}”(hŒgeoarray”h#Œ0.8.34”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$geoarray-0.8.34-pyh9f0ad1d_0.tar.bz2”h+Œ d9ef117c737bbda6006e0c2a156c0ca4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/geoarray-0.8.34-pyh9f0ad1d_0.tar.bz2”h0Œ@9fc71255fd5df9b52adc5174f1bde2e90181eb97775c79467514ec7b179f77bb”h2NhNh3(Œdask >=0.15.0”Œdill”Œfolium”Œgdal >=2.1.0”Œgeojson”Œmatplotlib-base”Œmpld3”Œnumpy”Œpandas”Œpy-tools-ds >=0.14.35”Œpython”Œscikit-image”Œshapely”Œsix”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×Ü±gx1'hEM°hFˆubh)”}”(hŒdjango-nested-admin”h#Œ3.2.4”h%Œpy_0”h'K hhh(h)hŒ&django-nested-admin-3.2.4-py_0.tar.bz2”h+Œ ea0fd222194726463586bbb63da024a8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/django-nested-admin-3.2.4-py_0.tar.bz2”h0Œ@c20b3179eba11a2cf7f13dac18b39f6e684ba2db8ef88bde98a827b97475c69f”h2NhNh3Œdjango”Œpython”Œpython-monkey-business >=1.0.0”‡”h9h?h@ŒBSD 2-Clause”hBŒBSD”hDGA×YS]Û¥ãhEJH+ hFˆubh)”}”(hŒr-assertive.numbers”h#Œ0.0_2”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ2r-assertive.numbers-0.0_2-r36h6115d3f_1002.tar.bz2”h+Œ 8514992d8a349f2fe69fded1b6b4d807”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.numbers-0.0_2-r36h6115d3f_1002.tar.bz2”h0Œ@c009f701a5476306ad7d2eb7ae6855bf4609986c3f65294b5b055d4aa1e3e43b”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.6,<3.7.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×KþÇŒ(öhEJ³¯ hFˆubh)”}”(hŒr-bookdownplus”h#Œ1.5.8”h%Œr36h6115d3f_0”h'K hhh(h)hŒ*r-bookdownplus-1.5.8-r36h6115d3f_0.tar.bz2”h+Œ 644fb6e62f17cd65a1a043d92df80454”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bookdownplus-1.5.8-r36h6115d3f_0.tar.bz2”h0Œ@9bc93390ed90981864586aa2aecbfc3f6ec06f8cd59ed8bb119a0d55cb59b40c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-bookdown >=0.3.17”Œr-knitr”Œr-magick”Œ
r-xaringan”t”h9hºh@ŒMIT”hBŒMIT”hDGA×»ã3ohEJ£ hFˆubh)”}”(hŒr-frictionless”h#Œ1.0.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-frictionless-1.0.2-r42hc72bb7e_0.tar.bz2”h+Œ 657897f3def8452237c35b235e7d8efe”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-frictionless-1.0.2-r42hc72bb7e_0.tar.bz2”h0Œ@22a48638d0a21b7b12468adace0fda86b08785ce31102cbf83e0a2949f2372b4”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-glue”Œr-httr”Œ
r-jsonlite”Œr-purrr”Œr-readr >=2.1.0”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÝnÐÖ§ðhEJ½™ hFˆubh)”}”(hŒlibxcb-cos6-x86_64”h#Œ1.12”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-libxcb-cos6-x86_64-1.12-h9d98e8f_1104.tar.bz2”h+Œ 65d2858fa703d762f7e0ffda730ba892”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos6-x86_64-1.12-h9d98e8f_1104.tar.bz2”h0Œ@24ce0517507a31c21a56bf5ad62681ba033f42fc57d969fb92b78ce351d0dc2b”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éyöû…hEJÏ hFˆubh)”}”(hŒlibxshmfence-cos7-ppc64le”h#Œ1.2”h%Œha826a6f_103”h'Kghhh(h)hŒ2libxshmfence-cos7-ppc64le-1.2-ha826a6f_103.tar.bz2”h+Œ 893591c0c9c9f7e77494277681f08786”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-ppc64le-1.2-ha826a6f_103.tar.bz2”h0Œ@4d25ea0cd4808248240d1d0a2525c5b8751483edb2ae1d6f5ec3a0e17bd3c010”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/yPhEM=#hFˆubh)”}”(hŒ
r-esquisse”h#Œ1.1.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-esquisse-1.1.2-r40hc72bb7e_0.tar.bz2”h+Œ e86f4cc0a95b802735d42a39824e0d7b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-esquisse-1.1.2-r40hc72bb7e_0.tar.bz2”h0Œ@a7360592b92919a895d4e46dcb54bf565826f0a74f4ecc64a616ff8dee728aa2”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-datamods”Œr-ggplot2 >=3.0.0”Œr-htmltools”Œ
r-jsonlite”Œr-rlang >=0.3.1”Œr-rstudioapi”Œr-scales”Œr-shiny >=1.1.0”Œr-shinywidgets >=0.6.0”Œr-styler”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÄ@´Ü¼jhEJ¦m hFˆubh)”}”(hŒmesa-dri-drivers-cos7-ppc64le”h#Œ18.3.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:mesa-dri-drivers-cos7-ppc64le-18.3.4-h9d98e8f_1104.tar.bz2”h+Œ f6de46c22eaca04fc55f7ef832b2d390”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-ppc64le-18.3.4-h9d98e8f_1104.tar.bz2”h0Œ@64e83ae334e95e6ecc973775c85ee954fa0ab0bdf41c169e7343742dfd60a1a0”h2NhNh3Œ#libdrm-cos7-ppc64le >=2.4.83 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|˜Û÷ÏhEJÁƒühFˆubh)”}”(hŒdjongo”h#Œ1.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!djongo-1.3.4-pyhd8ed1ab_0.tar.bz2”h+Œ 2be998994ae08df568a76619676d452d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/djongo-1.3.4-pyhd8ed1ab_0.tar.bz2”h0Œ@833216e75b808c357844e16e75f28eb8c2a3a02c42fe60e4ce08ee154d8c50c1”h2NhNh3(Œdjango >=2.1,<=3.0.5”Œpymongo >=3.2.0”Œpython >=3.6”Œsqlparse 0.2.4.*”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØ¹‹fffhEJ  hFˆubh)”}”(hŒlibthai-cos6-x86_64”h#Œ0.1.12”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0libthai-cos6-x86_64-0.1.12-hdf0574f_1102.tar.bz2”h+Œ cd1e1aa4e02748fb1e00e7f0ea2d3919”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libthai-cos6-x86_64-0.1.12-hdf0574f_1102.tar.bz2”h0Œ@e4de68fdb80046169a8800ad7b63a4ee7375615d11327477d710d1a999db41c8”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi2Û"ÑhEJ)^ hFˆubh)”}”(hŒsysroot-cos6-x86_64”h#Œ2.12”h%Œ
h071be85_7”h'Khhh(h)hŒ+sysroot-cos6-x86_64-2.12-h071be85_7.tar.bz2”h+Œ 357841f1c5ef122d177bf9761a8f8873”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos6-x86_64-2.12-h071be85_7.tar.bz2”h0Œ@3255592b12134a35d915c5b54ede3c45f628eaf523c38698ddf3136cb4256348”h2NhNh3Œsysroot_linux-64 2.12”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶¨³U‘hhEMÑhFˆubh)”}”(hŒlibxfixes-cos6-x86_64”h#Œ5.0.3”h%Œha826a6f_103”h'Kghhh(h)hŒ0libxfixes-cos6-x86_64-5.0.3-ha826a6f_103.tar.bz2”h+Œ c344fb2ca631448fedb2789eaec72f46”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxfixes-cos6-x86_64-5.0.3-ha826a6f_103.tar.bz2”h0Œ@06193fde5ffc8d52f9c3486eecf5996c2d65e4ad68b8debcbe445accebab3de8”h2NhNh3Œlibx11-cos6-x86_64 >=1.6 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1Ì*ñªhEMâ6hFˆubh)”}”(hŒlibselinux-cos7-ppc64le”h#Œ2.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libselinux-cos7-ppc64le-2.5-h9b0a68f_105.tar.bz2”h+Œ 40ed49a43626977e1763d0a0f5a2d4b2”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-ppc64le-2.5-h9b0a68f_105.tar.bz2”h0Œ@f5013d67d59fd6146907f074510812616935c90a8e6c71ce7234687072aa9f40”h2NhNh3Œ!libsepol-cos7-ppc64le >=2.5 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@Œ’·PhEJ9• hFˆubh)”}”(hŒr-mlgt”h#Œ0.16”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ$r-mlgt-0.16-r41ha770c72_1003.tar.bz2”h+Œ 1b96d77fba559f6c0111a7c3bd1e3cc3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mlgt-0.16-r41ha770c72_1003.tar.bz2”h0Œ@bc2cfae113ce15a40c3cafd9872dd62f5a6ea129567710b69ee4f87123f8d90d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-seqinr”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒSk£×hEJ±—	 hFˆubh)”}”(hŒp11-kit-trust-cos7-x86_64”h#Œ0.23.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6p11-kit-trust-cos7-x86_64-0.23.5-hdf0574f_1102.tar.bz2”h+Œ d5efef0ccc9fd5f48949d6b8982ddeb4”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-x86_64-0.23.5-hdf0574f_1102.tar.bz2”h0Œ@361a8bc4906c59e3cd80538a55bd7297ac7d63e1881c7f4fe03e75b40fe01684”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Åá†ævÉhEJá_ hFˆubh)”}”(hŒr-tester”h#Œ0.1.7”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ'r-tester-0.1.7-r41hc72bb7e_1002.tar.bz2”h+Œ 31666c67f6323feedf376ddb35f5e09a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tester-0.1.7-r41hc72bb7e_1002.tar.bz2”h0Œ@c79d0d626c2bc449e1693318fb93ad083867a64a024eec5240739cf90c6c335a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*ìÙ²áHhEJ.š hFˆubh)”}”(hŒr-directlabels”h#Œ	2021.1.13”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ.r-directlabels-2021.1.13-r36hc72bb7e_0.tar.bz2”h+Œ 249a2a810fad6eda3b0ba7cf2c3aa42c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-directlabels-2021.1.13-r36hc72bb7e_0.tar.bz2”h0Œ@d0f7078bdf2a72400aa8247ea0aeedaf8ce321026781c8b0e67a6ea174f06bda”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ šÚ°!hEJe| hFˆubh)”}”(hŒr-hdm”h#Œ0.3.1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ!r-hdm-0.3.1-r36h6115d3f_2.tar.bz2”h+Œ 38d35b3d5baa5e6051e6561c0564538e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hdm-0.3.1-r36h6115d3f_2.tar.bz2”h0Œ@07d263fe513b319e040e3aa6dbc2d5909464c6c40edbd8005cf5de4e3fe314c5”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-checkmate”Œ	r-formula”Œ	r-ggplot2”Œr-glmnet”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬¾TjhEJ—/ hFˆubh)”}”(hŒmesa-libgbm-cos7-x86_64”h#Œ18.3.4”h%Œh1795305_1101”h'MMhhh(h)hŒ4mesa-libgbm-cos7-x86_64-18.3.4-h1795305_1101.tar.bz2”h+Œ fb36d8b11c7ab8272967bbbf726dffb6”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-x86_64-18.3.4-h1795305_1101.tar.bz2”h0Œ@b7fe068a813928c6508f64e83348bdf763ffbfe7fb7c743d8449c4fd36026e50”h2NhNh3Œlibdrm-cos7-x86_64 >=2.4.83”Œ mesa-libglapi-cos7-x86_64 18.3.4”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Åo¦ÙhEMT{hFˆubh)”}”(hŒquandl”h#Œ3.4.6”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ!quandl-3.4.6-pyhd8ed1ab_2.tar.bz2”h+Œ 280044ccafd2fed647ad0dd68d0715bc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/quandl-3.4.6-pyhd8ed1ab_2.tar.bz2”h0Œ@a0f1cf52caa50a3bb6c0236430a03e70717b8f5fd2555a2021b9b91e70d600dd”h2NhNh3(Œinflection >=0.3.1”Œmore-itertools”Œnumpy >=1.8”Œpandas >=0.14”Œpython >=3.6”Œpython-dateutil”Œrequests >=2.7.0”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ€r¸ ÅhEMShFˆubh)”}”(hŒquantiphyse-qbold”h#Œ0.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,quantiphyse-qbold-0.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 90a8d2c092f5f294a38c4d863a3c1656”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/quantiphyse-qbold-0.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2c8a779450206379e0f657d40b88ce8ece092c9e886a4304cfedcc22d4b88d27”h2NhNh3Œnumpy”Œpython >=3.6”Œquantiphyse-fabber”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ-w­/ hEMf<hFˆubh)”}”(hŒr-opennlpdata”h#Œ1.5.3_4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-opennlpdata-1.5.3_4-r40hc72bb7e_0.tar.bz2”h+Œ fe8ca325b5b9af9d4b210fe3d8863275”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-opennlpdata-1.5.3_4-r40hc72bb7e_0.tar.bz2”h0Œ@64937216aeefad3ab52bd234188afca12f64efdea31deecfaa1cbea630e92764”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjava >=0.6_3”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*õ¦¸r°hEJ­yp hFˆubh)”}”(hŒr-spthin”h#Œ0.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-spthin-0.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 6213dd785523532533f7d08eeabfa298”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spthin-0.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@0f3fda14b67dc87d2a07f7916a1ddc013c490a32a155cf103cfabaa82385f75a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-fields”Œr-knitr”Œr-spam”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ1rMÓhEJZÕ hFˆubh)”}”(hŒ
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r-editdata”Œ	r-foreign”Œr-miniui”Œ
r-r.matlab”Œr-readxl”Œr-rstudioapi”Œ
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r-yaimpute”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+1-jJhEJ'L
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sacremoses”Œtokenizers >=0.11.1,!=0.11.3”Œtqdm >=4.27”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØØÜñqº^hEJC™* hFˆubh)”}”(hŒlibibcm-devel-cos6-x86_64”h#Œ1.0.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libibcm-devel-cos6-x86_64-1.0.5-hdf0574f_1102.tar.bz2”h+Œ b28855e04d283d8de00f2a3e5fd90923”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libibcm-devel-cos6-x86_64-1.0.5-hdf0574f_1102.tar.bz2”h0Œ@be2fea02138c7cac9406a2a2a2b6a9587867b6684528c70e92f44102ba4352b3”h2NhNh3Œ"libibcm-cos6-x86_64 ==1.0.5 *_1102”Œ)libibverbs-devel-cos6-x86_64 >=1.1 *_1102”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Å,/1©ühEM]DhFˆubh)”}”(hŒr-yarrr”h#Œ0.1.5”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ&r-yarrr-0.1.5-r35h6115d3f_1001.tar.bz2”h+Œ cfb09e8c0b637a83a21a905934c099a6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-yarrr-0.1.5-r35h6115d3f_1001.tar.bz2”h0Œ@dd40bbdb8cdcd7908f02f9ddcec86962499307931d014a2f0db06ce9f68b23b0”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-bayesfactor”Œ
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r-numderiv”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ÷‚šñªhEJbö hFˆubh)”}”(hŒargo-workflows”h#Œ6.3.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)argo-workflows-6.3.5-pyhd8ed1ab_0.tar.bz2”h+Œ b3e18a1d1d1fde05868cf5b693085d87”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/argo-workflows-6.3.5-pyhd8ed1ab_0.tar.bz2”h0Œ@3fe0208c34f1bd4acc090e2c26274e74115081882b65d17d8b6a7fe2c4422082”h2NhNh3(Œcertifi”Œpython >=3.6”Œpython-dateutil”Œsix”Œurllib3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØœ•(úJhEJM¤ hFˆubh)”}”(hŒr-drc”h#Œ3.0_1”h%Œr41ha770c72_1004”h'Mìhhh(h)hŒ$r-drc-3.0_1-r41ha770c72_1004.tar.bz2”h+Œ 49f7716a8a8190818cf0c04bda59324a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-drc-3.0_1-r41ha770c72_1004.tar.bz2”h0Œ@6f78d55247eb66e525a2912d0df7cd58f9e474022e35f51a68b8375040e4143a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œr-gtools”Œr-mass”Œ
r-multcomp”Œ	r-plotrix”Œr-scales”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÓ`<¶FhEJ¤Z hFˆubh)”}”(hŒ	r-modeldb”h#Œ0.2.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-modeldb-0.2.3-r40hc72bb7e_0.tar.bz2”h+Œ 443fc8e0ea2a2d1916cb80bacc1e310b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeldb-0.2.3-r40hc72bb7e_0.tar.bz2”h0Œ@1452a55b47fe0979da957f54ad41a164fbe8a0275d961907cb860352947fa236”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.7”Œ	r-ggplot2”Œ
r-progress”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidypredict”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¿(Vh  hEJŠ hFˆubh)”}”(hŒlibxscrnsaver-devel-cos6-x86_64”h#Œ1.2.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ;libxscrnsaver-devel-cos6-x86_64-1.2.2-h9d98e8f_1104.tar.bz2”h+Œ 4bb1d6d05ddb35cb59b0f4eb8db3521a”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos6-x86_64-1.2.2-h9d98e8f_1104.tar.bz2”h0Œ@e12aaeaa51f77522666cfbad9e7c452fe3081769800d04d7bd0e0d5ee64668f2”h2NhNh3Œ(libxscrnsaver-cos6-x86_64 ==1.2.2 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É} ô›¦hEM¾5hFˆubh)”}”(hŒlibxscrnsaver-cos7-aarch64”h#Œ1.2.2”h%Œha826a6f_103”h'Kghhh(h)hŒ5libxscrnsaver-cos7-aarch64-1.2.2-ha826a6f_103.tar.bz2”h+Œ ce137c392b92efe9922f8d372618a584”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-aarch64-1.2.2-ha826a6f_103.tar.bz2”h0Œ@900f148fd290f8f39723f00addaaea8723cdb4793bed72036206fcabe9b9b294”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/º°  hEMæMhFˆubh)”}”(hŒr-ada”h#Œ2.0_5”h%Œr35_1001”h'Méhhh(h)hŒr-ada-2.0_5-r35_1001.tar.bz2”h+Œ 57b27d36c3ca3f4842b1e869f03492f6”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-ada-2.0_5-r35_1001.tar.bz2”h0Œ@0521a48cc74c42686f17d50d3889a4123da02f8c0dfc4b8be6a503025f25eee5”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rpart”†”h9hºh@ŒGPL”hBŒGPL”hDGA×L«h@bhEJ‘ hFˆubh)”}”(hŒr-genabel.data”h#Œ1.0.0”h%Œr41ha770c72_1004”h'Mìhhh(h)hŒ-r-genabel.data-1.0.0-r41ha770c72_1004.tar.bz2”h+Œ 59c5b6a10e44da5ed08b24f2546efe30”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-genabel.data-1.0.0-r41ha770c72_1004.tar.bz2”h0Œ@76b25ce580fef71d6a85574f3fa3f6978b1b4eb541327099c77ba030e4dabeeb”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ°\ŒzáhEJ\j% hFˆubh)”}”(hŒgarnett”h#Œ0.7.1”h%Œpy_0”h'K hhh(h)hŒgarnett-0.7.1-py_0.tar.bz2”h+Œ 0f825282ca16a396347fd4e09839d6c2”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/garnett-0.7.1-py_0.tar.bz2”h0Œ@aa0e64ac434061a53c5c244396b4002ea15f4ea4a213ba999c467059d808a0c6”h2NhNh3(Œdeprecation >=2”Œnumpy >=1.14”Œpython >=3.5”Œrowan >=1.2”Œtqdm >=4.35”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×F-ö5?hEJ/ hFˆubh)”}”(hŒnlpaug”h#Œ1.1.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"nlpaug-1.1.11-pyhd8ed1ab_0.tar.bz2”h+Œ f7d15dfaed646b7897fb7fd9e23c43b6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/nlpaug-1.1.11-pyhd8ed1ab_0.tar.bz2”h0Œ@6619410d3ffbf6a8c296955cc618b9358266fc922d03598da4eb355f395984f0”h2NhNh3(Œdatasets >=1.8.0”Œgdown >=4.0.0”Œnumpy >=1.16.2”Œpandas”Œpython >=3.6”Œpytorch-cpu >=1.2.0”Œrequests >=2.22.0”Œsentencepiece”Œtransformers”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ±»¼ñªhEJ§/ hFˆubh)”}”(hŒlibrdmacm-devel-cos6-x86_64”h#Œ1.0.21”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ8librdmacm-devel-cos6-x86_64-1.0.21-h9d98e8f_1104.tar.bz2”h+Œ 01d9f24db3fff9f94c4795c88d63d0a5”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/librdmacm-devel-cos6-x86_64-1.0.21-h9d98e8f_1104.tar.bz2”h0Œ@42b3cefd63be690655c1f067c03bb94ed161d088105c8d9af062f71bb0f58644”h2NhNh3Œ%librdmacm-cos6-x86_64 ==1.0.21 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hD•&      GA×É{þèõÃhEJ‰! hFˆubh)”}”(hŒexpiringdict”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'expiringdict-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6d12ff9dc2271145c76f3d38666ca530”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/expiringdict-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@07b0868383a9647644fa40eaac1bd0680254c948e01e7b97c6063aacc263aa22”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØ£ŒmÏ
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r-magrittr”Œ	r-maxstat”Œr-purrr”Œr-rlang”Œr-scales”Œ
r-survival”Œ
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r-jsonlite”Œr-shiny”‡”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØÑM‡®hEMkþhFˆubh)”}”(hŒmesa-libegl-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5mesa-libegl-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 28471f265312011f555cb8bc7d7706af”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@dfe6eed0256cc734d9f5f34c3e11fa90f7f6506043b8bbb3d364914bb197b565”h2NhNh3Œ(mesa-libgbm-cos7-ppc64le ==18.3.4 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ÿÔýôhEJf¿ hFˆubh)”}”(hŒr-islr”h#Œ1.4”h%Œr40h785f33e_0”h'K hhh(h)hŒ r-islr-1.4-r40h785f33e_0.tar.bz2”h+Œ cf21a0d4d38789ef667501acf4cffd13”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-islr-1.4-r40h785f33e_0.tar.bz2”h0Œ@502c4762848eaa4e5d02064f403c368e2e0a366a29e837bbac030e1e279c4167”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ™@Ž¤9XhEJ¼H- hFˆubh)”}”(hŒipymaterialui”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒ ipymaterialui-0.1.4-py_0.tar.bz2”h+Œ cd570ed66fa14ace2e09afe537aaf418”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ipymaterialui-0.1.4-py_0.tar.bz2”h0Œ@0f1618557b15403c580226e7a4dd339f0faf59c5c0250ba4914bef3a345c8003”h2NhNh3Œipywidgets >=7.0.0”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×owT1Û#hEJiì< hFˆubh)”}”(hŒ
r-striprtf”h#Œ0.5.2”h%Œr36h1b71b39_1”h'Khhh(h)hŒ&r-striprtf-0.5.2-r36h1b71b39_1.tar.bz2”h+Œ 30459b6182fb0f1b31e326efcaed01f2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-striprtf-0.5.2-r36h1b71b39_1.tar.bz2”h0Œ@3057b2a708f4e76bab1d4d951da847f9e6cb12ae93947817d08e47dbfa86e20f”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-magrittr”Œr-rcpp”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ß|	Ñ&éhEJ§‚ hFˆubh)”}”(hŒpyulog”h#Œ0.7.0”h%Œpy_0”h'K hhh(h)hŒpyulog-0.7.0-py_0.tar.bz2”h+Œ 3be035e6ca50f16b23d39a51bcc68a61”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pyulog-0.7.0-py_0.tar.bz2”h0Œ@6344a3d046f5f6442b2f82414ec6ed1166e340c450de94cb0708f0944c675382”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒBSD 3-Clause”hDGA×Ab¦È´hEJrÕ3 hFˆubh)”}”(hŒflask-jwt-simple”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+flask-jwt-simple-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3eec21792efc4da5a6c79e19d853c224”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/flask-jwt-simple-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@2afa4d653a14bca4ac4861ece2c2deec6beb82f8c78c7c97f66acd37a003511a”h2NhNh3Œflask”Œpyjwt”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ}þ©²ÀƒhEMz+hFˆubh)”}”(hŒ	r-crsmeta”h#Œ0.3.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-crsmeta-0.3.0-r40hc72bb7e_0.tar.bz2”h+Œ 637a193b413508d50ef46d1451ce3642”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-crsmeta-0.3.0-r40hc72bb7e_0.tar.bz2”h0Œ@33ec3146a10786129402858e5f4e51845e5993628fd878b102d8ae20920178ab”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØŽŸß;hEMO°hFˆubh)”}”(hŒget_version”h#Œ3.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&get_version-3.5.4-pyhd8ed1ab_0.tar.bz2”h+Œ 425735f0374f78bf3b5f8ea1e825d700”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/get_version-3.5.4-pyhd8ed1ab_0.tar.bz2”h0Œ@f1a602daab834ac3770ed17f33ffe8749ee1719074ea1924779a05ae90f3a489”h2NhNh3(Œdunamai”Œgit”Œimportlib_metadata”Œpython >=3.7”Œtyping_extensions”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGAØ€F×Œ9XhEM ^hFˆubh)”}”(hŒr-genabel.data”h#Œ1.0.0”h%Œr36_1002”h'Mêhhh(h)hŒ%r-genabel.data-1.0.0-r36_1002.tar.bz2”h+Œ 4f6d35d57b91ec1f4f5f00413a8c1deb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-genabel.data-1.0.0-r36_1002.tar.bz2”h0Œ@a93fdb533d9a77c51e567e5f46a79772f1a017a67d1cbfacd2f1cf47689316ab”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÉ.§ðhEJó-% hFˆubh)”}”(hŒimportlib_metadata”h#Œ1.7.0”h%j3G h'K hhh(h)hŒ"importlib_metadata-1.7.0-0.tar.bz2”h+Œ 3e6503b25200f60149cce699a47cf09e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/importlib_metadata-1.7.0-0.tar.bz2”h0Œ@5a1f45fc03c101c4c0c0b916b2193768436e31d7209f2128d1a54a546f9bcbdb”h2NhNh3Œ%importlib-metadata >=1.7.0,<1.7.1.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×½ž–2-hEMkhFˆubh)”}”(hŒatk-cos7-x86_64”h#Œ2.28.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ,atk-cos7-x86_64-2.28.1-ha826a6f_1103.tar.bz2”h+Œ e9d94c6d3a5da52bc744b245f6b3aa79”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos7-x86_64-2.28.1-ha826a6f_1103.tar.bz2”h0Œ@8ea2f0d517e234c7092e6dc90e74f3ac0d2e30550f82cc9ae438ec12bb85a9a9”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/ãt¼hEJ/I hFˆubh)”}”(hŒmesa-khr-devel-cos7-aarch64”h#Œ18.3.4”h%Œha826a6f_103”h'Kghhh(h)hŒ7mesa-khr-devel-cos7-aarch64-18.3.4-ha826a6f_103.tar.bz2”h+Œ 4d797d931f441415943f2e38374443f8”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-aarch64-18.3.4-ha826a6f_103.tar.bz2”h0Œ@dc4c5f10b59654fb8804740abbab773b485ed94c2ef129c07b279160b22dd050”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/`–E¢hEMýhFˆubh)”}”(hŒjupyterlab-cell-flash”h#Œ0.3.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0jupyterlab-cell-flash-0.3.5-pyhd8ed1ab_0.tar.bz2”h+Œ a90d062a9cd90d95d96473498cf44fec”h.Œ^https://conda.anaconda.org/conda-forge/noarch/jupyterlab-cell-flash-0.3.5-pyhd8ed1ab_0.tar.bz2”h0Œ@0a4b458ab6dcbb37922c0466aa8d014e8c0aa6de5d266c10cc042e0aafb4413b”h2NhNh3Œjupyterlab ~=3.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ½“Ñ9‡hEMúHhFˆubh)”}”(hŒlibxshmfence-devel-cos7-ppc64le”h#Œ1.2”h%Œha826a6f_103”h'Kghhh(h)hŒ8libxshmfence-devel-cos7-ppc64le-1.2-ha826a6f_103.tar.bz2”h+Œ 248377744734330c8925b219ac662d1f”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-ppc64le-1.2-ha826a6f_103.tar.bz2”h0Œ@fc932ccb85118cab7f6c35bc5411a48b7c02706b3121251c37b884b9178f0776”h2NhNh3Œ%libxshmfence-cos7-ppc64le ==1.2 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0!à1'hEMêhFˆubh)”}”(hŒr-lmds”h#Œ0.1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-lmds-0.1.0-r35h6115d3f_0.tar.bz2”h+Œ 638c2edd938fff019437254142e4b256”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmds-0.1.0-r35h6115d3f_0.tar.bz2”h0Œ@733e43e7c939f39909674476850cd53ddb710811731d8009afe2d5ee4d08fac2”h2NhNh3(Œr-assertthat”Œr-base >=3.5,<3.6.0a0”Œr-dynutils >=1.0.3”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×{ ©)‰7hEJ¼Ô hFˆubh)”}”(hŒkitchen”h#Œ1.2.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"kitchen-1.2.6-pyh9f0ad1d_0.tar.bz2”h+Œ 724e2003ec5fe0a33e4715b7c3255480”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/kitchen-1.2.6-pyh9f0ad1d_0.tar.bz2”h0Œ@38cfbd86f8be415088c011179203db1fed52aa401d82cb3910ea7cd2220adcf9”h2NhNh3Œpython”…”h9h?h@ŒGPL-2.0”hDGA×Õë€ƒhEMþØhFˆubh)”}”(hŒproplot”h#Œ0.9.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"proplot-0.9.3-pyhd8ed1ab_0.tar.bz2”h+Œ 826afaa2bc5ebe9bb7037f91c326ff46”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/proplot-0.9.3-pyhd8ed1ab_0.tar.bz2”h0Œ@b51e138a9d921ecdf2a3cb85dbb94569beb538198a26fb587515ef369f7f45c2”h2NhNh3Œmatplotlib-base <3.5.0a0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØX¿#ÜÝ/hEJT¢j hFˆubh)”}”(hŒp11-kit-cos7-ppc64le”h#Œ0.23.5”h%Œha826a6f_103”h'Kghhh(h)hŒ0p11-kit-cos7-ppc64le-0.23.5-ha826a6f_103.tar.bz2”h+Œ 665fc9711c1e0a1fbc9f2db1eb8c9625”h.Œ^https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-ppc64le-0.23.5-ha826a6f_103.tar.bz2”h0Œ@1b380be84e2b274189e616b5e40cba6643e831a6b7d416dbaa0dc9f73a21f513”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/D¢JhEJ¤9 hFˆubh)”}”(hŒlibxrender-cos7-ppc64le”h#Œ0.9.10”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libxrender-cos7-ppc64le-0.9.10-ha826a6f_1103.tar.bz2”h+Œ 35aab4912a3d10e7a7766c5a2964f304”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxrender-cos7-ppc64le-0.9.10-ha826a6f_1103.tar.bz2”h0Œ@c62ca425541a7bafc0368399c118b8ca3e00fd3d0edfbc6f4789602e4a0539cf”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3Ž˜bhEMTdhFˆubh)”}”(hŒxvfbwrapper”h#Œ0.2.9”h%Œpyhd8ed1ab_1005”h'Míhhh(h)hŒ)xvfbwrapper-0.2.9-pyhd8ed1ab_1005.tar.bz2”h+Œ 9ae45213ce116749b4943ba51eef8acb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/xvfbwrapper-0.2.9-pyhd8ed1ab_1005.tar.bz2”h0Œ@38f9f72c09bd1a2f1c7519b05b4ef97157058305cb077c4c7771052c00d9edd8”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ€È¬ÌÍhEMø!hFˆubh)”}”(hŒr-assertive.base”h#Œ0.0_9”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-assertive.base-0.0_9-r41hc72bb7e_1.tar.bz2”h+Œ 484cdbeeb7b4a4a5d79e2becde745ae7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.base-0.0_9-r41hc72bb7e_1.tar.bz2”h0Œ@500d8305ac9f97b77a13ec7a5ca19872bb1edef789084a99edb437817ccf87f1”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐx	áXhEJþ	 hFˆubh)”}”(hŒlibcflib”h#Œ0.0.8”h%Œpy_0”h'K hhh(h)hŒlibcflib-0.0.8-py_0.tar.bz2”h+Œ d9f661a5d985c81401dacc4f611bc755”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/libcflib-0.0.8-py_0.tar.bz2”h0Œ@b455e09edbb077a4b206e62c43d465dfb7a86a95a55b85eb890d0701732c3d5a”h2NhNh3(Œcerberus”Œjinja2”Œlazyasd”Œpandas”Œpython”Œtoolz”Œtornado”Œtqdm”Œwhoosh”Œxonsh”Œzict”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×"»9XhEMÃPhFˆubh)”}”(hŒr-magic”h#Œ1.6_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-magic-1.6_1-r41hc72bb7e_0.tar.bz2”h+Œ abfc6eb1947632ffe2ba26747f4d3f65”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-magic-1.6_1-r41hc72bb7e_0.tar.bz2”h0Œ@247254e024ae378b9b017d5d96d574aa1e1547033512e3c894a9500357499aff”h2NhNh3Œr-abind”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÝ/:âñªhEJðq hFˆubh)”}”(hŒperl-text-levenshtein”h#Œ0.15”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ3perl-text-levenshtein-0.15-pl5321hd8ed1ab_0.tar.bz2”h+Œ cd78e5b58fcafd05bf077bff39bd31d0”h.Œahttps://conda.anaconda.org/conda-forge/noarch/perl-text-levenshtein-0.15-pl5321hd8ed1ab_0.tar.bz2”h0Œ@c6aa78ea3af302642ca74be5852cac09199c347db5f2fad889d772ccd05b3d43”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œ	perl-carp”Œperl-exporter”‡”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÍ¶.©ühEM¡PhFˆubh)”}”(hŒ	rio-cogeo”h#Œ2.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$rio-cogeo-2.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ dcfa9ab2506a00d3a23aa8b88c5a550c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rio-cogeo-2.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@53270e887673379845bfc6f554f1647509808ebebe675fae85dfb12cdcb88ff4”h2NhNh3(Œclick”Œmorecantile >=2.1,<2.2”Œnumpy ~=1.15”Œpython >3.6”Œrasterio >=1.1,<1.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ9$8Æ¨hEMßMhFˆubh)”}”(hŒ	r-webshot”h#Œ0.5.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-webshot-0.5.4-r40hc72bb7e_0.tar.bz2”h+Œ 17bb91f0d8d997238a5bbb9f0892348e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-webshot-0.5.4-r40hc72bb7e_0.tar.bz2”h0Œ@10cc1614d2bf57e1abf58dbc90a9175ac9e894ae73c29a7ffacf1a27b9e4dfb3”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-callr”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÌŽÕ¾whEJØ( hFˆubh)”}”(hŒcups-libs-cos7-ppc64le”h#Œ1.6.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1cups-libs-cos7-ppc64le-1.6.3-h9b0a68f_105.tar.bz2”h+Œ f90e4093924cf6dd8eea64966029b467”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos7-ppc64le-1.6.3-h9b0a68f_105.tar.bz2”h0Œ@d73f3df310a6126649340639eccdca455c52e4f2dcb7498a48bb4a9680470704”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2 and zlib”hBŒLGPL”hDGAØ@ˆ,¨£×hEJïê hFˆubh)”}”(hŒalembic”h#Œ1.7.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"alembic-1.7.7-pyhd8ed1ab_0.tar.bz2”h+Œ 9637550104fade18bc6f91aef1f4f02c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/alembic-1.7.7-pyhd8ed1ab_0.tar.bz2”h0Œ@3cf09b1a22413261180347f0f95ca22901e76bf17eb198b183a1f3f89eb63b7f”h2NhNh3(Œimportlib-metadata”Œimportlib_resources”Œmako”Œpython >=3.6”Œsqlalchemy >=1.3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŒ5Ÿ—ÎÙhEJ" hFˆubh)”}”(hŒdask”h#Œ1.2.2”h%Œpy_2”h'Khhh(h)hŒdask-1.2.2-py_2.tar.bz2”h+Œ ee41e2b0cd325fa30480aaf8ff00e06e”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/dask-1.2.2-py_2.tar.bz2”h0Œ@dc42753d2440166ad8b5813fdb1009dea48207613152a36dc956fba0fcc65565”h2NhNh3(Œbokeh >=0.13.0”Œcloudpickle >=0.2.1”Œcytoolz >=0.7.3”Œdask-core 1.2.2.*”Œdistributed >=1.28.0”Œnumpy >=1.13.0”Œpandas >=0.21.0,<2”Œpartd >=0.3.8”Œpython”Œtoolz >=0.7.3”t”h9h?h@ŒBSD 3-Clause”hDGA×;Ö¶¯;dhEMühFˆubh)”}”(hŒowslib”h#Œ0.27.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"owslib-0.27.2-pyhd8ed1ab_1.tar.bz2”h+Œ b0645ce5684ad7fd03efab4644ee43d4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/owslib-0.27.2-pyhd8ed1ab_1.tar.bz2”h0Œ@4115eff49301961636d8d242b45ba6e355b9ddbf0987e640bd5f8ea309e37883”h2NhNh3(Œpython >=3.7”Œpython-dateutil >=1.5”Œpytz”Œpyyaml”Œrequests >=1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÃB
ã¶FhEJó# hFˆubh)”}”(hŒdjango-heroku”h#Œ0.3.1”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ(django-heroku-0.3.1-pyhd8ed1ab_2.tar.bz2”h+Œ 3a87825ad9e5fa026b6d2fa773430209”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/django-heroku-0.3.1-pyhd8ed1ab_2.tar.bz2”h0Œ@09459eda3b5b92d04caf9c17f5f0317156e737432424469af5de5864b52beb86”h2NhNh3(Œdj-database-url >=0.5.0”Œdjango”Œpsycopg2”Œpython >=3.6”Œ
whitenoise”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØzLÙXhEMÔ#hFˆubh)”}”(hŒlibxxf86vm-devel-cos6-x86_64”h#Œ1.1.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7libxxf86vm-devel-cos6-x86_64-1.1.3-h9d98e8f_104.tar.bz2”h+Œ 7ceb7af2beb4b97289a1ffb25a2c3895”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos6-x86_64-1.1.3-h9d98e8f_104.tar.bz2”h0Œ@e36e8dd01cdb3c553ede0fab7294b585850753a195aac1c53976a72f64ca9b5f”h2NhNh3Œ$libxxf86vm-cos6-x86_64 ==1.1.3 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ùdIºhEM0hFˆubh)”}”(hŒr-medicalrisk”h#Œ1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-medicalrisk-1.3-r42hc72bb7e_2.tar.bz2”h+Œ 10e2a8592ea5654611707576325b6018”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-medicalrisk-1.3-r42hc72bb7e_2.tar.bz2”h0Œ@bce81f7e47fada5d381062ca1361829bb6ef2fd3aee54855dfa9e6950999b754”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-hash”Œr-plyr >=1.5”Œ
r-reshape2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒRò­VhEJØÖ hFˆubh)”}”(hŒr-value”h#Œ2.2.2”h%Œr41ha770c72_0”h'K hhh(h)hŒ#r-value-2.2.2-r41ha770c72_0.tar.bz2”h+Œ 3a46db7ca11933b11a535d8dcedc137c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-value-2.2.2-r41ha770c72_0.tar.bz2”h0Œ@22f23cc9c6de96aa958692aef1c02d31fcb89f264e6d27d345dddebd83b14684”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-evd”Œr-loader >=1.4.10”Œ
r-magrittr”Œ	r-pbapply”Œr-rcppeigen”Œr-rcurl”Œr-signal”Œr-transformer”Œr-verification”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡ë‹÷ÏhEJŽ3qhFˆubh)”}”(hŒlibx11-common-cos7-aarch64”h#Œ1.6.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6libx11-common-cos7-aarch64-1.6.7-hdf0574f_1102.tar.bz2”h+Œ b0c56df5a88a0fc77a16eae15cc9f871”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-aarch64-1.6.7-hdf0574f_1102.tar.bz2”h0Œ@9fd4e1adcfed9f0519272f404b0a971c4420c5da200115c8e9fa8b6bf65e92f0”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+í`BhEJJ) hFˆubh)”}”(hŒ	gf-kernel”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$gf-kernel-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4c5ce72a558a59a738021e08b874d1cb”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/gf-kernel-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@88fd9194c72f3b1b19e6366a71f188b3b80988211599ab6fd294ce35636db257”h2NhNh3(Œipykernel >=5.1.0”Œipython >=7.2.0”Œipywidgets >=7.4.2”Œjupyter >=1.0.0”Œjupyter_client >=5.2.4”Œpython >=3.6”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÇ±áHhEM×|hFˆubh)”}”(hŒrdma-core-cos7-aarch64”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ1rdma-core-cos7-aarch64-22.4-ha826a6f_1103.tar.bz2”h+Œ ffa96b19b5c815e94aa66d44b074dedd”h.Œ_https://conda.anaconda.org/conda-forge/noarch/rdma-core-cos7-aarch64-22.4-ha826a6f_1103.tar.bz2”h0Œ@dff20f82b02ea19331904729156218247635ac8ec83f16eeebc01ebad1f636f2”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,­éë…hEMÝ¸hFˆubh)”}”(hŒr-treemapify”h#Œ2.5.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-treemapify-2.5.5-r41hc72bb7e_1.tar.bz2”h+Œ 93806a84f3c2ce33a4e0d6d4384c515e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-treemapify-2.5.5-r41hc72bb7e_1.tar.bz2”h0Œ@b1b0fde90b7498c23ab87c3a427ba5988cf30bcb09b296daea979c6ae9d14161”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggfittext >=0.5.0”Œr-ggplot2 >=2.2.1”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÑöáxÕhEJÝ	 hFˆubh)”}”(hŒ	r-emdbook”h#Œ1.3.12”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-emdbook-1.3.12-r41hc72bb7e_1.tar.bz2”h+Œ e1942bad464c11e87adfd04584177783”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-emdbook-1.3.12-r41hc72bb7e_1.tar.bz2”h0Œ@dc3759e81ca6f3f63d4da63658cc0afe4964fd0589d999efe7fb011f8c9b793d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbmle”Œr-coda”Œ	r-lattice”Œr-mass”Œr-plyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ++ó¶$ÝhEJ¯} hFˆubh)”}”(hŒmarkuppy”h#Œ1.14”h%Œpy_0”h'K hhh(h)hŒmarkuppy-1.14-py_0.tar.bz2”h+Œ c3f5d9018183847d0ffe87b53c5de9ca”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/markuppy-1.14-py_0.tar.bz2”h0Œ@a1d31a75ba13a121e36c359a1728bf886a4e447d7afed1384da462d7c02da082”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA× iú-OßhEMÏ)hFˆubh)”}”(hŒglimix-core”h#Œ3.1.11”h%Œpy_0”h'K hhh(h)hŒglimix-core-3.1.11-py_0.tar.bz2”h+Œ f46f7ff6af67bb6cb73b6a6a2deb1081”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/glimix-core-3.1.11-py_0.tar.bz2”h0Œ@8857ba2f83f0e42a49e021492a7f510b687e74cf98a0b3d98cf96eda7e78b1cc”h2NhNh3(Œbrent-search >=2.0.0”Œ
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r-anesrake”h#Œ0.80”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-anesrake-0.80-r41hc72bb7e_1.tar.bz2”h+Œ 0639879bab6f7e2c80dddd6fda1271ff”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-anesrake-0.80-r41hc72bb7e_1.tar.bz2”h0Œ@7bebd024e8538739f9b01b2f0dd4f90685435175ea112d197f743042b56cd998”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-hmisc”Œ	r-weights”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓ3’=ó¶hEJ|Z hFˆubh)”}”(hŒ	asttokens”h#Œ2.0.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$asttokens-2.0.4-pyh9f0ad1d_0.tar.bz2”h+Œ 540220eb33e3056af7f80094d6a89623”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/asttokens-2.0.4-pyh9f0ad1d_0.tar.bz2”h0Œ@3d1ac2f675420ca8480da5cd4c5219609ce62c04eaf71dd10b435238442bca41”h2NhNh3Œpython”Œsix”†”h9h?h@Œ
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r-liqueuer”h#Œ0.0.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-liqueuer-0.0.1-r36h6115d3f_0.tar.bz2”h+Œ d993f59df6b0cce4c97d781063722a96”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-liqueuer-0.0.1-r36h6115d3f_0.tar.bz2”h0Œ@f078b70389d2fd3e9e734e471ce2240e4290507ac6285e6c00d1c6b3c917f730”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-itertools”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M¶C]¡ËhEJI; hFˆubh)”}”(hŒvdom”h#Œ0.6”h%Œpy_0”h'K hhh(h)hŒvdom-0.6-py_0.tar.bz2”h+Œ b924cb77ee3a7463d640415aa218ff8f”h.ŒChttps://conda.anaconda.org/conda-forge/noarch/vdom-0.6-py_0.tar.bz2”h0Œ@1a316b9af0d7845666c5fd794077dd2337476176820a0f58cfc55da52f69d1d4”h2NhNh3Œipython”Œ
jsonschema”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×DR¡XhEM¶:hFˆubh)”}”(hŒr-r2winbugs”h#Œ2.1_21”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-r2winbugs-2.1_21-r36h6115d3f_1.tar.bz2”h+Œ f034df0c7811adde8a148a4feafcb213”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r2winbugs-2.1_21-r36h6115d3f_1.tar.bz2”h0Œ@e68745e584bbb29cc375d695c8946acaae28313c695df699e9b4f6f6f76cb19e”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-boot”Œr-coda >=0.11_0”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×KößQº^hEJÈ/ hFˆubh)”}”(hŒ	r-rarpack”h#Œ0.11_0”h%Œr36_1003”h'Mëhhh(h)hŒ!r-rarpack-0.11_0-r36_1003.tar.bz2”h+Œ e62ead78d3393e3465e4fdb6180a1660”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rarpack-0.11_0-r36_1003.tar.bz2”h0Œ@96cfc9aee042e598266f9f5fcc1408f82f0584d8cc718dda724b888ff88aff07”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-rspectra”†”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×«â–ª°!hEMrŠhFˆubh)”}”(hŒr-airr”h#Œ1.4.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-airr-1.4.1-r41hc72bb7e_1.tar.bz2”h+Œ 39004ca1cf9d32e11bdc4c6b261aa4c4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-airr-1.4.1-r41hc72bb7e_1.tar.bz2”h0Œ@6cfb12e39f2184f667acf717e48c7414b6ceadce98343bf079195834efe69b59”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-readr”Œ	r-stringi”Œr-yaml”t”h9hºh@Œ	CC-BY-4.0”hBŒCC”hDGAØÑÄîK"ÑhEJú7	 hFˆubh)”}”(hŒr-objectsignals”h#Œ0.10.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-objectsignals-0.10.3-r40hc72bb7e_0.tar.bz2”h+Œ 5ba3ab334f456ca968a2e774558eb342”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-objectsignals-0.10.3-r40hc72bb7e_0.tar.bz2”h0Œ@a9738ad44fdf7218c8013389ebc7f5a7f69795980bca15e375800dc6e165164b”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ“åæ—hEJ;f hFˆubh)”}”(hŒ	exoplanet”h#Œ0.5.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$exoplanet-0.5.3-pyhd8ed1ab_1.tar.bz2”h+Œ b25575a60d2d31a46d558b2478c3976e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/exoplanet-0.5.3-pyhd8ed1ab_1.tar.bz2”h0Œ@a8f96041abf07e9935576ca823975335de85c848f7ac0651b83ae93ddad52c0e”h2NhNh3(Œaesara-theano-fallback >=0.0.2”Œastropy >=3.1”Œexoplanet-core >=0.1,<0.2”Œnumpy <1.22”Œpymc3 >=3.9”Œpython >=3.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÒZhEM;”hFˆubh)”}”(hŒsimpy”h#Œ4.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ simpy-4.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ f8acd044c4a63677331225018ca59a9b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/simpy-4.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@8f234f18e3de641e3b1bc5a3cb1d5e976a0aeb1081ce3e4f66216818334a7893”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¦V÷ÏhEMf–hFˆubh)”}”(hŒpybind11-abi”h#hÔh%Œ
hd8ed1ab_1”h'Khhh(h)hŒ!pybind11-abi-4-hd8ed1ab_1.tar.bz2”h+Œ 91ab214f8dda3e1dfc0b7da4d3f491d4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pybind11-abi-4-hd8ed1ab_1.tar.bz2”h0Œ@cb04cddeb9abdbfec59c8006d8b196c07cce24a4f7faddf42e98435a77790044”h2NhNh3)h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ`0(÷ÏhEMƒ,hFˆubh)”}”(hŒmccabe”h#Œ0.6.1”h%Œpy_1”h'Khhh(h)hŒmccabe-0.6.1-py_1.tar.bz2”h+Œ a326cb400c1ccd91789f3e7d02124d61”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/mccabe-0.6.1-py_1.tar.bz2”h0Œ@7244b23fff4404f381589f068f086cbf6fbffaaa5d0747270f3553db1e211cde”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐ–ÉH  hEM~!hFˆubh)”}”(hŒlibxcomposite-cos7-x86_64”h#Œ0.4.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libxcomposite-cos7-x86_64-0.4.4-hdf0574f_1102.tar.bz2”h+Œ 29406db06c1f3710429aba8bdba92aed”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-cos7-x86_64-0.4.4-hdf0574f_1102.tar.bz2”h0Œ@83b5a2f926d8ecd316e8d9a5ca56c81ce4b64e4b062fd2bffd109c2217cfcfed”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´Ûë…hEMGhFˆubh)”}”(hŒr-functional”h#Œ0.6”h%Œr36_1002”h'Mêhhh(h)hŒ!r-functional-0.6-r36_1002.tar.bz2”h+Œ ea8378409fd52907d01ee3756e5fbdd8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-functional-0.6-r36_1002.tar.bz2”h0Œ@1ec0f424f3ba03861d1e83b819345e982bd00aa53206619a414bd15a94ab3a5c”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×¬¡ÀƒhEM_zhFˆubh)”}”(hŒ	jsonfield”h#Œ3.1.0”h%Œpy_0”h'K hhh(h)hŒjsonfield-3.1.0-py_0.tar.bz2”h+Œ 7c7d7b67bb22eda41cb7849bf45f940b”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/jsonfield-3.1.0-py_0.tar.bz2”h0Œ@cf2dcb2103f5b2d0196f9f1a6e95fdb532560fe07be07742aa1a45f98f899aba”h2NhNh3Œdjango >=1.11”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGA×”_f’n˜hEML(hFˆubh)”}”(hŒmesa-libglapi-cos7-aarch64”h#Œ18.3.4”h%Œha826a6f_103”h'Kghhh(h)hŒ6mesa-libglapi-cos7-aarch64-18.3.4-ha826a6f_103.tar.bz2”h+Œ 67d31c3af0c753419798bd2a4701cbc8”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-aarch64-18.3.4-ha826a6f_103.tar.bz2”h0Œ@141e1a71fef4d9461581cbd0aa5062afce2bd722d9a95548d48a4af3df323401”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/!þhEJ[ hFˆubh)”}”(hŒjavapackages-tools-cos7-ppc64le”h#Œ3.4.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ:javapackages-tools-cos7-ppc64le-3.4.1-h9b0a68f_105.tar.bz2”h+Œ e32338eee115ec0f3b09e89d106aee32”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-ppc64le-3.4.1-h9b0a68f_105.tar.bz2”h0Œ@71a7dd22087beb1c871f0115122dffeba5378e9d42b01e8993f1f4a05cc17e28”h2NhNh3Œ.python-javapackages-cos7-ppc64le ==3.4.1 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@‹ü~È´hEMXÝhFˆubh)”}”(hŒlipo”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒlipo-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3d43b7ca6373a27e6693e0ccd20a6034”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/lipo-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1882bbd711dbebbc186985295f03cc5da9ed063aeab1f9e74a89b8236492dea9”h2NhNh3(Œdlib >=19.19.0,<20.0.0”Œpython >=3.6”Œscikit-learn >=0.22.1”Œtqdm >=4.46.0,<5.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ü{H5?hEMŒ0hFˆubh)”}”(hŒumami”h#Œ2.0.0b2”h%Œpy_0”h'K hhh(h)hŒumami-2.0.0b2-py_0.tar.bz2”h+Œ 28e05163ef16f839ca5ec85e7fda495c”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/umami-2.0.0b2-py_0.tar.bz2”h0Œ@356ed3db0d8e2a4a464f2f90c706aaa9942a35fc44a68f64c772182b8d73812f”h2NhNh3(Œlandlab >=2.0.0b5,<2”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×’ÎbJÀƒhEMåQhFˆubh)”}”(hŒr-simfit”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-simfit-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ acf29902e25be9c42528e93e96b981e2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-simfit-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@cb4a64b86e261e59c2859a8ac9636c26595de45be7d15d38d633b63dff565ea0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œ
r-magrittr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+8ûq7LhEMeºhFˆubh)”}”(hŒr-testextra”h#Œ0.1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-testextra-0.1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 273a9c020bdd9ee7780153900cbed9e4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-testextra-0.1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@217226255b25f06e1df3aa1e0ff5785eaf068c7702979d1fad94cd901a31ec3a”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-parsetools”Œ	r-pkgcond”Œr-postlogic”Œr-purrr”Œr-rlang”Œ	r-stringi”Œ
r-testthat”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+“E™xÕhEJÉ hFˆubh)”}”(hŒr-kimisc”h#Œ0.4”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ%r-kimisc-0.4-r35h6115d3f_1001.tar.bz2”h+Œ 5d2878c3d03d9b62ca4c95dde71fcdd7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kimisc-0.4-r35h6115d3f_1001.tar.bz2”h0Œ@2921af1017a876b7ef23eae7ef9e782680e62604bddf17aadb1eacc67b6f6aae”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-memoise”Œr-plyr”Œr-pryr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LæÔí‘hEJ°‹ hFˆubh)”}”(hŒr-orcutt”h#Œ2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-orcutt-2.3-r41hc72bb7e_1.tar.bz2”h+Œ 17d7c8c490fb385cab059f4c8df55f26”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-orcutt-2.3-r41hc72bb7e_1.tar.bz2”h0Œ@291bf34090aa1c8901395101c3c77777a21af8078174fc4efba1fe66cdb77647”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lmtest”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ>™A‰hEM@ÌhFˆubh)”}”(hŒr-learnbayes”h#Œ2.15.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ,r-learnbayes-2.15.1-r42hc72bb7e_1003.tar.bz2”h+Œ d5e9430a721bc7623e2306a00af5491b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-learnbayes-2.15.1-r42hc72bb7e_1003.tar.bz2”h0Œ@fd0b0e20ba9eaa503315f4367db001e949899560bd0ff2812aabcdbeb94df767”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¢}ø ÅhEJ] hFˆubh)”}”(hŒr-sjlabelled”h#Œ1.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-sjlabelled-1.2.0-r40hc72bb7e_0.tar.bz2”h+Œ d3f605a93b31d5b7cb679d9a3d1fd013”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sjlabelled-1.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@d52f8a2debca3c41698bc5d3a148b92db5738debac23e9c17701fb5ee14d9d24”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-datawizard”Œ	r-insight”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ”ûXt9XhEJ hFˆubh)”}”(hŒ
r-sparsebn”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-sparsebn-0.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 58c954247123ece5e60bd9049ecefff2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparsebn-0.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@9db253f3177155b8e844a46c2228defc937b87dd9ba27088dc84e8b8fd6964ff”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ccdralgorithm >=0.0.4”Œr-discretecdalgorithm >=0.0.5”Œr-sparsebnutils >=0.0.5”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+iÔTýôhEJÁI hFˆubh)”}”(hŒtabulator-py”h#Œ1.14.0”h%Œpy_1”h'Khhh(h)hŒ tabulator-py-1.14.0-py_1.tar.bz2”h+Œ 65616ebdb423089ae0a39f60e948658f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tabulator-py-1.14.0-py_1.tar.bz2”h0Œ@66f5fbcae5ab57db7affdae0e9c7e7d8ccdded7db21f5260e1eb296d0709d866”h2NhNh3(Œcchardet >=1.0,<2.0”Œclick >=6.0,<7.0”Œdatapackage-py <1.0”Œezodf >=0.3,<2.0”Œijson >=2.0,<3.0”Œjsonlines >=1.1,<2.0”Œlinear-tsv >=1.0,<2.0”Œlxml >=3.0,<4.0”Œopenpyxl >=2.4,<3.0”Œpython”Œrequests >=2.8,<3.0”Œsix >=1.9,<2.0”Œsqlalchemy >=1.1,<2.0”Œunicodecsv >=0.14,<1.0”Œxlrd >=1.0,<2.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÕÈt
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r-openxlsx”Œr-plyr”Œr-runit”Œr-xtable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ:ÔÇ”¬hEJä\ hFˆubh)”}”(hŒr-rcppthread”h#Œ2.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-rcppthread-2.0.2-r41hc72bb7e_0.tar.bz2”h+Œ e330f842ed149a1179eca42ce938a151”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rcppthread-2.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@1015b70c4be07a1ea0065e2c5701532e19b7f466eb546e7227746fec01dff6cc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ€\ZhEJŠ¿ hFˆubh)”}”(hŒ	r-gmodels”h#Œ2.18.1.1”h%Œr41ha770c72_0”h'K hhh(h)hŒ(r-gmodels-2.18.1.1-r41ha770c72_0.tar.bz2”h+Œ 55303050f799a5f7366766e8abfeb866”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gmodels-2.18.1.1-r41ha770c72_0.tar.bz2”h0Œ@2db73d801daf75eaa77e1cc8e22a75fbb9cbb1f06078f8e5451b9df3517166ac”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gdata”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¡¡b)XhEJ@ñ hFˆubh)”}”(hŒdjango-cors-headers”h#Œ3.10.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/django-cors-headers-3.10.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2efd06769f324b12a552eb3701d968ff”h.Œ]https://conda.anaconda.org/conda-forge/noarch/django-cors-headers-3.10.1-pyhd8ed1ab_0.tar.bz2”h0Œ@178af033a2d302020757a3aeceb54540415380d3ed24ddd49fee50c2eb2fb323”h2NhNh3Œdjango >=2.2”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØkL¨r=qhEMR<hFˆubh)”}”(hŒdash-daq”h#Œ0.5.0”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ#dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2”h+Œ ebd54a61606fa8a191932cb72e448418”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2”h0Œ@5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f”h2NhNh3Œdash >=1.6.1”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Ë“ië…hEJx„ hFˆubh)”}”(hŒpytest-celery”h#Œ0.0.0a1”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ*pytest-celery-0.0.0a1-pyh9f0ad1d_1.tar.bz2”h+Œ 9ed7d8799bdaa2bb2a81f61631a7613b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pytest-celery-0.0.0a1-pyh9f0ad1d_1.tar.bz2”h0Œ@91747d3fd147cf56d23387bb4bd679544384081797b7f6dc170ed9cb86e76f2c”h2NhNh3Œpytest”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×æ
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r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*çƒÙÊÁhEJaI hFˆubh)”}”(hŒlibxtst-cos7-aarch64”h#Œ1.2.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libxtst-cos7-aarch64-1.2.3-h9d98e8f_104.tar.bz2”h+Œ 51e6d2369608580c285c200ec06355cf”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxtst-cos7-aarch64-1.2.3-h9d98e8f_104.tar.bz2”h0Œ@819911048add66cb89652210f44a6e8dd351aa650e0a1646ccf8434dd29eb1b7”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|2“SøhEMÜGhFˆubh)”}”(hŒopenff-recharge”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*openff-recharge-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 19bdf21f88c3711dbec87611107c1e97”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/openff-recharge-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cd453bd1886fb16ed415b40473ed9e978102d27c58715eef8cbc2c51035caaf4”h2NhNh3(Œclick”Œjinja2”Œopenff-interchange-base >=0.2.0”Œopenff-toolkit-base >=0.11.0”Œpython >=3.8”Œrdkit”Œ
sqlalchemy”Œsqlite”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÏÝ?iÊÁhEJ¹Q hFˆubh)”}”(hŒtypes-frozendict”h#Œ2.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+types-frozendict-2.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ eed43314d574da0021d021d222500c6f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/types-frozendict-2.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@1daba179c80d48510054c39b3288c07a13a9db4e180de183c9f29b1933265d8b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØ¨utþ{hEMÁ,hFˆubh)”}”(hŒlibxshmfence-cos6-x86_64”h#Œ1.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libxshmfence-cos6-x86_64-1.2-h9b0a68f_1105.tar.bz2”h+Œ 2579aee02b04e8a783f6c050e9f06058”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos6-x86_64-1.2-h9b0a68f_1105.tar.bz2”h0Œ@1b57ad31a90fb9d5f2318db2a9564d9d0263d59578c540279a31491098be7859”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@W+ohEMhFˆubh)”}”(hŒr-tilegramsr”h#Œ0.2.0”h%Œr36h6115d3f_4”h'Khhh(h)hŒ(r-tilegramsr-0.2.0-r36h6115d3f_4.tar.bz2”h+Œ 82cb075ffe0acdca03fdc803e75072e4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tilegramsr-0.2.0-r36h6115d3f_4.tar.bz2”h0Œ@33a8ebd801072aac7d8454a143f7843139505d46ee929e3b25137eb9a616cdda”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-sf”Œr-sp”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬JIºhEJßY hFˆubh)”}”(hŒ	r-timeroc”h#Œ0.4”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-timeroc-0.4-r36h6115d3f_0.tar.bz2”h+Œ ac3f6ee1ce907373b14fb5c9caed8b69”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-timeroc-0.4-r36h6115d3f_0.tar.bz2”h0Œ@05ad854e929cc5317b8e80f3bf23444821f0218096ab29e7d394bd6d888282a3”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mvtnorm >=1.0_1”Œr-pec >=2.4.4”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×~Ÿd"áHhEJŒä hFˆubh)”}”(hŒr-combinepvalue”h#Œ1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-combinepvalue-1.0-r42hc72bb7e_1.tar.bz2”h+Œ 68457d4c38bb3f3cf968ed14a0f8099f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinepvalue-1.0-r42hc72bb7e_1.tar.bz2”h0Œ@1df896afe15ea9cdbf3941cedfa1df17436a69a16231e8e97a45fad548f91ff9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ“Ël‹hEMš”hFˆubh)”}”(hŒreadme_renderer”h#Œ37.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)readme_renderer-37.3-pyhd8ed1ab_0.tar.bz2”h+Œ 82e8ab317fe8f1d2a944688438dce868”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/readme_renderer-37.3-pyhd8ed1ab_0.tar.bz2”h0Œ@3f6d5ffe4c07bbddfcc7d108d01a1cbd78d38e9b860de46f16ca617bd4f42cd1”h2NhNh3(Œbleach >=2.1.0”Œcmarkgfm >=0.8.0”Œdocutils >=0.13.1”Œpygments >=2.5.1”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØØQ^\ZhEM-AhFˆubh)”}”(hŒkmod-cos7-ppc64le”h#Œ20”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ*kmod-cos7-ppc64le-20-h9d98e8f_1104.tar.bz2”h+Œ 70f219eaa1b14d5ac545f09b9f35017f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/kmod-cos7-ppc64le-20-h9d98e8f_1104.tar.bz2”h0Œ@587681904a9436ad577ecaacb3aa7f44523511e162e9e9d76c14fa0f0161f29a”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Ø™R.§ðhEJò hFˆubh)”}”(hŒlibnl3-cos7-aarch64”h#Œ3.2.28”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libnl3-cos7-aarch64-3.2.28-ha826a6f_1103.tar.bz2”h+Œ 65f0a9ad588869a5107be9f2e46af5ac”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-aarch64-3.2.28-ha826a6f_1103.tar.bz2”h0Œ@54df3b7a23ba2b9507e992220fd62a725b71eee6c864f1566fbc6a8ccfd5b546”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×È,©Ì‹DhEJs½ hFˆubh)”}”(hŒpathos”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pathos-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ afcff4785c078e8aca4c4637430ca2f8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pathos-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3b5676a3e4bc811f058f8a37a9b2d81dae8ba00cb5d318f94b63f7e4b9aa16c0”h2NhNh3(Œdill >=0.3.5.1”Œmultiprocess >=0.70.13”Œpox >=0.3.1”Œppft >=1.7.6.5”Œpython ==2.7.*|>=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕŸßŸ hEMòÌhFˆubh)”}”(hŒxcb-util-cos7-ppc64le”h#Œ0.4.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0xcb-util-cos7-ppc64le-0.4.0-h9d98e8f_104.tar.bz2”h+Œ 4acf1505b94d94f280f8d2113e7e405d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/xcb-util-cos7-ppc64le-0.4.0-h9d98e8f_104.tar.bz2”h0Œ@50568cb109aeffdaff7327d520477ce0b1402cb29b4605b4dfdb5de7450d289a”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ó– A‰hEMG=hFˆubh)”}”(hŒglib2-devel-cos6-x86_64”h#Œ2.28.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3glib2-devel-cos6-x86_64-2.28.8-h9b0a68f_105.tar.bz2”h+Œ 73c8561d60ea939280747c4b52ed47e1”h.Œahttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos6-x86_64-2.28.8-h9b0a68f_105.tar.bz2”h0Œ@c67d019c3c286ed73ca9b6a5a7b4a293593f33cf5539b02e974998c5255ea6e3”h2NhNh3Œ glib2-cos6-x86_64 ==2.28.8 *_105”Œ"pkgconfig-cos6-x86_64 >=0.14 *_105”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@W¨´jhEJ hFˆubh)”}”(hŒ
r-incadata”h#Œ0.9.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-incadata-0.9.1-r42hc72bb7e_2.tar.bz2”h+Œ a54bc7dc0f79b2827e1562ee09dfd018”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-incadata-0.9.1-r42hc72bb7e_2.tar.bz2”h0Œ@b743318e0a03d72a08b0a69299127e25890016dbe1288afbd337c46d9ddb65ad”h2NhNh3(Œr-backports”Œr-base >=4.2,<4.3.0a0”Œ	r-decoder”Œr-dplyr”Œr-rvest”Œr-sweidnumbr”Œr-xml2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒËÊí‘hEJŽv hFˆubh)”}”(hŒscmorph”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"scmorph-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 29dc4f9aa130cb6ac52b213e9f318c5a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/scmorph-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@10032c0fa0231f8e50aaa20bd92e22bf0ce250cd278d170ed01391ae28f014b4”h2NhNh3(Œanndata”Œ	formulaic”Œmatplotlib-base”Œnumpy <1.23”Œpandas”Œpatsy”Œpyarrow”Œpyod”Œpython >=3.7”Œscanpy”Œscikit-learn”Œseaborn”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÆq1ÊÁhEM+lhFˆubh)”}”(hŒr-trekcolors”h#Œ0.1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-trekcolors-0.1.3-r40hc72bb7e_0.tar.bz2”h+Œ 946f8684f9daf1d7af2c7fec34fd935c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-trekcolors-0.1.3-r40hc72bb7e_0.tar.bz2”h0Œ@f78317173419bed789956627ce1283f66c54144cc48c7a2b143f3def68ace3d1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ-£­¸hEJÒ² hFˆubh)”}”(hŒr-harmonicmeanp”h#Œ3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-harmonicmeanp-3.0-r41hc72bb7e_0.tar.bz2”h+Œ 196b654d751b746fb091a805fe2a105a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-harmonicmeanp-3.0-r41hc72bb7e_0.tar.bz2”h0Œ@65147ba63815cb4c4d4396de0f375b86b19c1168b0654464059d0c8c278c0538”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-fmstable”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+'ÓÆ¨hEJÕ	 hFˆubh)”}”(hŒ
nameparser”h#Œ1.0.5”h%Œpy_0”h'K hhh(h)hŒnameparser-1.0.5-py_0.tar.bz2”h+Œ 6cfaed4df461c9d9c8229fd44d077bd8”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/nameparser-1.0.5-py_0.tar.bz2”h0Œ@dbdb476550fa208d5bf7e91ff699c36e97e0e641d516cc99ccc26e2157a46f86”h2NhNh3Œpython”…”h9h?h@Œ	LGPL-2.1+”hBŒLGPL”hDGA×|´§ hEM-\hFˆubh)”}”(hŒr-mvn”h#Œ5.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-mvn-5.9-r42hc72bb7e_1.tar.bz2”h+Œ 9a36fbdf6f4f88c9c80221bbfbf652ac”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mvn-5.9-r42hc72bb7e_1.tar.bz2”h0Œ@1279460f2d39035f39633dc7b6fd7f90c4a3a8112b8f86e3217c656494ef6371”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-car”Œr-energy”Œr-kableextra”Œ
r-magrittr”Œr-mass”Œ	r-moments”Œr-mvoutlier”Œ	r-nortest”Œr-plyr”Œr-psych”Œr-robustbase”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓ‰9[t¼hEJëV hFˆubh)”}”(hŒcoverage-badge”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)coverage-badge-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 66546f401e7c193e613a4d9198b66e63”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/coverage-badge-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f5e5834a18b765cac260b5d794aa1cfcb3be024043079fda55d9d2bbf18155f2”h2NhNh3Œcoverage”Œpython >=3.6”Œ
setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØcÚDC"ÑhEMm&hFˆubh)”}”(hŒr-binhf”h#Œ1.0_3”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ&r-binhf-1.0_3-r35h6115d3f_1002.tar.bz2”h+Œ 21b2467f6501d34c667e4c5ace6787df”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-binhf-1.0_3-r35h6115d3f_1002.tar.bz2”h0Œ@5c107dfe0178d1492388aa6d9893b78387f495d22961b516332635ba46cf7420”h2NhNh3(Œr-adlift >=0.9.2”Œr-base >=3.5,<3.6.0a0”Œr-ebayesthresh”Œr-wavethresh”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M(Ê>ffhEJY˜ hFˆubh)”}”(hŒ	r-poorman”h#Œ0.2.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-poorman-0.2.6-r41hc72bb7e_0.tar.bz2”h+Œ fe2ea0ab336cf1877083fd68a7c19d1c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-poorman-0.2.6-r41hc72bb7e_0.tar.bz2”h0Œ@0e0c3182133f77d8b971d6b7d83c06c54d1b4952a34742bd9de2db3b79a164e4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ¿-ó+çmhEJ€ hFˆubh)”}”(hŒlibdrm-devel-cos7-aarch64”h#Œ2.4.97”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libdrm-devel-cos7-aarch64-2.4.97-ha826a6f_1103.tar.bz2”h+Œ e45a1e93676cd504b9b4dbedf97191cb”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-aarch64-2.4.97-ha826a6f_1103.tar.bz2”h0Œ@550a5c8b1172052b9f40351b36d35cc1cdd2c3e589d55d0b157fc69a2b58ca90”h2NhNh3Œ+kernel-headers-cos7-aarch64 >=2.6.27 *_1103”Œ#libdrm-cos7-aarch64 ==2.4.97 *_1103”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1äê°!hEJÌ hFˆubh)”}”(hŒr-clustvarsel”h#Œ2.3.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-clustvarsel-2.3.4-r36hc72bb7e_0.tar.bz2”h+Œ acb4fa8154527b440acdea662c17c138”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-clustvarsel-2.3.4-r36hc72bb7e_0.tar.bz2”h0Œ@f0ba4834a9a95c59f2756989e30b88ddee5a2b9133765c5f14012c0ac1eec07b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-bma >=3.18”Œ	r-foreach”Œr-iterators”Œr-matrix”Œr-mclust >=5.3”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ö…½FhEJ, hFˆubh)”}”(hŒr-geojsonlint”h#Œ0.4.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-geojsonlint-0.4.0-r42hc72bb7e_2.tar.bz2”h+Œ 7d9438ebb09a30514cbcce6f95eb0c04”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-geojsonlint-0.4.0-r42hc72bb7e_2.tar.bz2”h0Œ@c244903092b0962fab7765850c5e9ad7bdb9c2118bf51f8535f6840170699e28”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.7.0”Œr-jsonlite >=0.9.19”Œr-jsonvalidate >=1.0.0”Œr-v8”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ4ŒÍ`BhEJ ; hFˆubh)”}”(hŒr-wdi”h#Œ2.7.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-wdi-2.7.8-r41hc72bb7e_1.tar.bz2”h+Œ 8ca65702b7d4f0a433b9fc6dec4f311a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-wdi-2.7.8-r41hc72bb7e_1.tar.bz2”h0Œ@641a0fa4a443d172305ed85918dd08f1fe57e4bde8d4815618cfbd54954c3a40”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ?§5?hEJC”
 hFˆubh)”}”(hŒseqdat”h#Œ0.1.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"seqdat-0.1.10-pyhd8ed1ab_0.tar.bz2”h+Œ dc7ce4385998e7cedb681eedb40f7392”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/seqdat-0.1.10-pyhd8ed1ab_0.tar.bz2”h0Œ@c0ed28022dc784a78be98d22f5690d6d04110c49d13195783a338d94950d534a”h2NhNh3(Œclick >=8.0.3,<9.0.0”Œclick-rich-help >=0.2.0”Œpython >=3.6,<3.11”Œrich >=10.12.0,<11.0.0”Œruamel.yaml >=0.17.17,<0.18.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØgDEóC–hEMÎBhFˆubh)”}”(hŒubermagtable”h#Œ0.61.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(ubermagtable-0.61.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0ffd6b88592da01988ec09a7490b81a3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/ubermagtable-0.61.2-pyhd8ed1ab_0.tar.bz2”h0Œ@99885b0f29a1ce053b733b9b33dd77604d7bccb43bd60f152557cf0724bbd7f0”h2NhNh3(Œ
ipywidgets”Œjupyterlab >=3.0,<4.0”Œmatplotlib-base >=3.3”Œpandas >=1.1”Œpython >=3.8”Œubermagutil >=0.62.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÔVáW\)hEJì hFˆubh)”}”(hŒ
constantly”h#Œ15.1.0”h%Œpy_0”h'K hhh(h)hŒconstantly-15.1.0-py_0.tar.bz2”h+Œ 6cc019fc01a1e9ea7eb0bfccfc6c9d2d”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/constantly-15.1.0-py_0.tar.bz2”h0Œ@8b81db2dc9b821f4eb714226127827171e392d0760db89926996d89a04ea3385”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hEM#hFˆubh)”}”(hŒioos_qartod”h#Œ0.0.4”h%Œpy_0”h'K hhh(h)hŒioos_qartod-0.0.4-py_0.tar.bz2”h+Œ 20a2fdf5b3553989026d4ffa8611cc4b”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/ioos_qartod-0.0.4-py_0.tar.bz2”h0Œ@a22a73dba3b19094d869801fdb1fde96922a89c3bde891041cb9588525499032”h2NhNh3(Œnumpy”Œpandas”Œpyproj”Œpython”Œ
quantities”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×gxOýÂhEM¹KhFˆubh)”}”(hŒr-dendroextras”h#Œ0.2.3”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ-r-dendroextras-0.2.3-r41hc72bb7e_1002.tar.bz2”h+Œ fa30ddcbab34aa6c2a28e46bdcf66494”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-dendroextras-0.2.3-r41hc72bb7e_1002.tar.bz2”h0Œ@bbe68ffd6e305039d8838d87c4e30aaba51917d2edcd94754c0cddb9e2dccf34”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+,/ÍVhEM+ÊhFˆubh)”}”(hŒr-leafem”h#Œ0.2.0”h%Œr41h785f33e_1”h'Khhh(h)hŒ$r-leafem-0.2.0-r41h785f33e_1.tar.bz2”h+Œ 06c778f2e7e2e90d8b9c9ae9fba61326”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafem-0.2.0-r41h785f33e_1.tar.bz2”h0Œ@b810008df0f6f15c343a38fd87f368350c68ad4bd46ead528e16c0e6c5e03427”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-htmltools >=0.3”Œr-htmlwidgets”Œr-leaflet >=2.0.1”Œ	r-mapdeck”Œr-png”Œr-raster”Œr-scales >=1.0.0”Œr-sf”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ;Ü›¦hEJ?4 hFˆubh)”}”(hŒ	r-tsibble”h#Œ1.1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-tsibble-1.1.3-r42hc72bb7e_2.tar.bz2”h+Œ 31f71e2de4dc92e3faff6276872b7250”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tsibble-1.1.3-r42hc72bb7e_2.tar.bz2”h0Œ@cc968772d4f6625f927ba531e71747c06f65f710175679995aaf982ac9de05a0”h2NhNh3(Œr-anytime >=0.3.1”Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-ellipsis >=0.3.0”Œ
r-generics”Œr-lifecycle”Œr-lubridate >=1.7.0”Œr-rlang >=0.4.6”Œr-tibble >=3.0.0”Œr-tidyselect >=1.0.0”Œr-vctrs >=0.3.1”t”h6(Œr-testthat >=3.0.0”Œr-tidyr >=1.1.0”Œr-ggplot2 >=3.3.0”Œr-nycflights13 >=1.0.0”Œr-scales >=1.1.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ7¸C"ÑhEJa( hFˆubh)”}”(hŒssort”h#Œ0.11.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!ssort-0.11.6-pyhd8ed1ab_0.tar.bz2”h+Œ 53729b150f41dd6ae004ce5854904659”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ssort-0.11.6-pyhd8ed1ab_0.tar.bz2”h0Œ@83be1d226ca8c2bf41cb51dcb4bb3c0fcc2b07786ad620d05f5b8fd0fcd92731”h2NhNh3Œpathspec >=0.9.0”Œpython >=3.8”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸§ô333hEMðdhFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ&r-abind-1.4_5-r36h6115d3f_1003.tar.bz2”h+Œ 4e909a182450b546f7bee9f07dceb915”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r36h6115d3f_1003.tar.bz2”h0Œ@0e5583b3bdd1bab09e9c5dd19c72a58fa3dc2261ad22420dd62589d598ee1a9a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGA×«Æ~éyhEJ1 hFˆubh)”}”(hŒdjango-picklefield”h#Œ3.0.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-django-picklefield-3.0.1-pyhd8ed1ab_1.tar.bz2”h+Œ 03604dca61cb4f10dc30d23a157b99d7”h.Œ[https://conda.anaconda.org/conda-forge/noarch/django-picklefield-3.0.1-pyhd8ed1ab_1.tar.bz2”h0Œ@6d634945b454734aa455147bf5afabfa2fac2077f5ac1b74b0d56f06932254e0”h2NhNh3Œdjango >=2.2,<3.0”Œpython >=3.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ}ìAXhEMV1hFˆubh)”}”(hŒsphinx-pythia-theme”h#Œ	2022.3.29”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2sphinx-pythia-theme-2022.3.29-pyhd8ed1ab_0.tar.bz2”h+Œ 0fa4e3b9df844b9bdbc0d95aeb1bca68”h.Œ`https://conda.anaconda.org/conda-forge/noarch/sphinx-pythia-theme-2022.3.29-pyhd8ed1ab_0.tar.bz2”h0Œ@118b33f804daf1f99753c372bb2a10b81f4deb5e3cda3332fa1afde15fcbd646”h2NhNh3Œpython >=3.8”Œsphinx-book-theme >=0.1.7,<0.2”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØã¶—hEM¹IhFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libxxf86vm-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h+Œ e4c6654ed56ae111eec3ed74c3f68ac0”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@eb04d665fef04e71ff95fa5aac0c54c15a333a0859baab4427dee46630b5be3c”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|1F—hEMô;hFˆubh)”}”(hŒ	nengo-spa”h#Œ1.3.0”h%Œpyh8a188c0_0”h'K hhh(h)hŒ$nengo-spa-1.3.0-pyh8a188c0_0.tar.bz2”h+Œ 11569ab248f6f03400504812da6bd27f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/nengo-spa-1.3.0-pyh8a188c0_0.tar.bz2”h0Œ@cee8af1f0c4f084cadbfb3f3b2e611a068a08b0951d6508c525931aacddb0dcf”h2NhNh3Œnengo >=2.7”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒLicenseRef-NENGO”hDGAØyžDß;hEJ»b hFˆubh)”}”(hŒstdlibs”h#Œ	2022.10.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&stdlibs-2022.10.9-pyhd8ed1ab_0.tar.bz2”h+Œ 298f566883390c7b1d3b6c754fcdc60f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/stdlibs-2022.10.9-pyhd8ed1ab_0.tar.bz2”h0Œ@04a3a6e6b40ee77da0b09222647d58baf78a3c42271f0dc7433f281e44d57c8a”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÔÊãhEMJUhFˆubh)”}”(hŒ
pymt_rafem”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒpymt_rafem-0.1.4-py_0.tar.bz2”h+Œ 3184a5f89acef0ed16914a703155f3eb”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pymt_rafem-0.1.4-py_0.tar.bz2”h0Œ@89bc2fd56fd5aba0ddc4017bc3cfd45e47ffaf5d745f9117e09fa82770b8dae1”h2NhNh3Œpython”Œrafem”†”h9h?h@ŒMIT”hBŒMIT”hDGA×6—!ÙhEMØ#hFˆubh)”}”(hŒr-cramer”h#Œ0.9_3”h%Œr35h6115d3f_1”h'Khhh(h)hŒ$r-cramer-0.9_3-r35h6115d3f_1.tar.bz2”h+Œ 3b21d4bc859cbbf71f814d390708c9b3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cramer-0.9_3-r35h6115d3f_1.tar.bz2”h0Œ@1204a4396814119acf626996cb6ffa00d8133868744e38bf2f42713b5f5bc4d7”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-boot”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LŠÌç
=hEMÇ¡hFˆubh)”}”(hŒr-worrms”h#Œ0.4.2”h%Œr40h785f33e_0”h'K hhh(h)hŒ$r-worrms-0.4.2-r40h785f33e_0.tar.bz2”h+Œ 2f4dad72588b47b12128d1c0cfb84ae2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-worrms-0.4.2-r40h785f33e_0.tar.bz2”h0Œ@59971c574f3a8a4e877b497a0b0c6004ab0b07441efa517b0512abf3b2082b00”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.6.0”Œr-data.table”Œr-jsonlite >=1.1”Œr-tibble >=1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+Ü—ÊÁhEJ”¨ hFˆubh)”}”(hŒpymedphys_mudensity”h#Œ0.11.0”h%Œpy_1”h'Khhh(h)hŒ'pymedphys_mudensity-0.11.0-py_1.tar.bz2”h+Œ 9521ab2a20b69d4f457b2509ef33cfd6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pymedphys_mudensity-0.11.0-py_1.tar.bz2”h0Œ@3b7a932e3b7a335e95cc6bdc901f2741e612e68837e3cffb7ea27aa9bf7613fc”h2NhNh3(Œmatplotlib-base”Œnumpy >=1.12”Œpymedphys_base 0.11.0 py_1”Œpymedphys_utilities 0.11.0 py_1”Œpython >=3.7”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×¯ý%7ïžhEM¸thFˆubh)”}”(hŒ	r-lassopv”h#Œ0.2.0”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ(r-lassopv-0.2.0-r36h6115d3f_1001.tar.bz2”h+Œ 38b89395b2c1b46f7160be4b060e0272”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-lassopv-0.2.0-r36h6115d3f_1001.tar.bz2”h0Œ@21bed6284749831697831d536a6cc8caffe5467ecde3081a0e02c41972409f28”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-lars”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÝz';dhEMƒhFˆubh)”}”(hŒhopcroftkarp”h#Œ1.2.4”h%Œpy_0”h'K hhh(h)hŒhopcroftkarp-1.2.4-py_0.tar.bz2”h+Œ 47d8d5f84b6b616483642d46c74c38b0”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/hopcroftkarp-1.2.4-py_0.tar.bz2”h0Œ@16cdfdbb0efeb36e0093ae2e5778f1af68ba8e2b1a81c24f1510767da24eae56”h2NhNh3Œpython”…”h9h?h@ŒGPL-3.0”hBŒGPL”hDGAÖÊËÙhEMaNhFˆubh)”}”(hŒlibxcursor-cos7-aarch64”h#Œ1.1.15”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libxcursor-cos7-aarch64-1.1.15-h9b0a68f_105.tar.bz2”h+Œ 0407c55b721165d8de87c1eacaa070cb”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-aarch64-1.1.15-h9b0a68f_105.tar.bz2”h0Œ@2cc2602a0fb2e1a3c8e5c45486e8af9cbf8c24cc5cf362ab5d17a5f67f5995b3”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^N3C–hEM¦jhFˆubh)”}”(hŒr-secret”h#Œ1.1.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ$r-secret-1.1.0-r42h785f33e_1.tar.bz2”h+Œ d442533647e3f972a07c43556546001b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-secret-1.1.0-r42h785f33e_1.tar.bz2”h0Œ@b8a9def8ec5e9bdd8324eb4f61b680ba4115f59f4382afcaa4c93bd348a38ff4”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-curl”Œ
r-jsonlite”Œ	r-openssl”Œr-rprojroot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÔº-hEJxH hFˆubh)”}”(hŒlibxshmfence-cos7-aarch64”h#Œ1.2”h%Œ
h1341992_0”h'K hhh(h)hŒ0libxshmfence-cos7-aarch64-1.2-h1341992_0.tar.bz2”h+Œ 7a480434f35afd83310557aca0c214ca”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-aarch64-1.2-h1341992_0.tar.bz2”h0Œ@fd0158bc46baccab3ecae4fedef571989e554f4aac7b429b52389b636c139790”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ƒ£hEM#hFˆubh)”}”(hŒ libxcomposite-devel-cos7-ppc64le”h#Œ0.4.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ<libxcomposite-devel-cos7-ppc64le-0.4.4-ha826a6f_1103.tar.bz2”h+Œ fc315a00cbb601b69c7e452362d98bff”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos7-ppc64le-0.4.4-ha826a6f_1103.tar.bz2”h0Œ@af84cedf9a2629636ecadaad0e567a6513ec1878afba70a87a24e57cf751fec0”h2NhNh3Œ)libxcomposite-cos7-ppc64le ==0.4.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1Í´9hEM.hFˆubh)”}”(hŒpysentiment2”h#Œ0.1.1”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ'pysentiment2-0.1.1-pyhd8ed1ab_2.tar.bz2”h+Œ a1188836da2ee46475226f5a4bd870b0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pysentiment2-0.1.1-pyhd8ed1ab_2.tar.bz2”h0Œ@d833b559440748ae69030d56720b9f078924cffac93f2a286689a3b9913be7b1”h2NhNh3Œ
nltk >=2.0”Œpandas”Œpython >=3.6,<3.10”‡”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØP5‘hhEJÖó hFˆubh)”}”(hŒ
r-wikitaxa”h#Œ0.4.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-wikitaxa-0.4.0-r36h6115d3f_0.tar.bz2”h+Œ de2aaa529abeaaf47359267aa8c4a8ab”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wikitaxa-0.4.0-r36h6115d3f_0.tar.bz2”h0Œ@953c94d9fbcfb3e5a9b6d1c3160713b6fcec42edfea2361c7448954303021c97”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crul >=0.3.4”Œr-curl”Œr-data.table”Œ
r-jsonlite”Œr-tibble”Œr-wikidatar”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¾ô•óSøhEJ©ò hFˆubh)”}”(hŒr-svunit”h#Œ1.0.6”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-svunit-1.0.6-r36hc72bb7e_0.tar.bz2”h+Œ 99b00f75215c481f4e2f4f62d774c27f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-svunit-1.0.6-r36hc72bb7e_0.tar.bz2”h0Œ@d8ca5cf91c237b0f212ae25d5b3bcce7baae2ff4128bad4ffed2f230e8e8152d”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØJìq©ühEJ©Æ	 hFˆubh)”}”(hŒnapari-aicsimageio”h#Œ0.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-napari-aicsimageio-0.7.2-pyhd8ed1ab_0.tar.bz2”h+Œ 10f41f3e82f0d82d0629264fb255dca7”h.Œ[https://conda.anaconda.org/conda-forge/noarch/napari-aicsimageio-0.7.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9dab7bf9281dd86a4fcc7be7b41414383ac9d9cc01a76e7f87c9149428111241”h2NhNh3(Œaicsimageio >=4.6.3”Œbioformats_jar >=2020.5.27”Œfsspec”Œmrc >=0.2.0”Œnapari >=0.4.13”Œnd2 >=0.3.0”Œpsutil >=5.7.0”Œpython >=3.8”Œreadlif >=0.6.4”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÀüÉ'²hEJš)hFˆubh)”}”(hŒr-geoaxe”h#Œ0.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-geoaxe-0.1.0-r40h6115d3f_1.tar.bz2”h+Œ 09e1bfec0bcecbca14f497878db9ba2e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-geoaxe-0.1.0-r40h6115d3f_1.tar.bz2”h0Œ@6b74dea92770bc18f982fb602f1b177693cbea1da0727c1429e0bf4ee0d21421”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-jsonlite”Œr-rgeos”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGA×«ù*mÂhEJ¡ß hFˆubh)”}”(hŒr-uptasticsearch”h#Œ0.4.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ,r-uptasticsearch-0.4.0-r36h6115d3f_0.tar.bz2”h+Œ 81773c6ba9034c2efdd0f7ccce55ce3f”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-uptasticsearch-0.4.0-r36h6115d3f_0.tar.bz2”h0Œ@26900a4ab4a86300ef0e724312ff3cda1d6e2a8c5815a3553d8b0243336cae04”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-futile.logger”Œr-httr”Œ
r-jsonlite”Œr-purrr”Œ	r-stringr”Œr-uuid”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×©¬ztzáhEJº± hFˆubh)”}”(hŒfusepy”h#Œ3.0.1”h%Œpy_0”h'K hhh(h)hŒfusepy-3.0.1-py_0.tar.bz2”h+Œ 3fcef41e7a1662804ccf85b061905534”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/fusepy-3.0.1-py_0.tar.bz2”h0Œ@1dc3b436379a0a2007d0e68afc3c5bf54e0c625193a8725e31394784bf110822”h2NhNh3Œpython”…”h9h?h@ŒISC”hDGAÖçïW¤‹DhEM/hFˆubh)”}”(hŒjlab-enhanced-cell-toolbar”h#Œ3.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5jlab-enhanced-cell-toolbar-3.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4f1fd0613b623e4f32093da544761643”h.Œchttps://conda.anaconda.org/conda-forge/noarch/jlab-enhanced-cell-toolbar-3.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d6c743f90aa691f4b9020285db47656645974091db0638fefa4d6e1a67c763c7”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØš)v÷¾whEMçfhFˆubh)”}”(hŒlibxml2-devel-cos6-x86_64”h#Œ2.7.6”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libxml2-devel-cos6-x86_64-2.7.6-h9d98e8f_104.tar.bz2”h+Œ 9989cc572f9791de730aaeebb27b7a27”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos6-x86_64-2.7.6-h9d98e8f_104.tar.bz2”h0Œ@a5cf9c1bdd8ed6ee43b2d4020c2f2614c3379a0c0e0cee73ab31655381bb9614”h2NhNh3Œ!libxml2-cos6-x86_64 ==2.7.6 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{lœIºhEJF hFˆubh)”}”(hŒr-hrbrthemes”h#Œ0.8.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-hrbrthemes-0.8.0-r36h6115d3f_0.tar.bz2”h+Œ 3da6c94224e6590b8478c865792b0697”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hrbrthemes-0.8.0-r36h6115d3f_0.tar.bz2”h0Œ@5ea288e729e3e654400d14748d1e26c6214ce69a6d582539e1a5630787ff198f”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-extrafont”Œ	r-gdtools”Œr-ggplot2 >=3.3.0”Œr-htmltools”Œr-knitr”Œ
r-magrittr”Œr-rmarkdown”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ŸÚ¦hEJåe hFˆubh)”}”(hŒr-pwr”h#Œ1.3_0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ!r-pwr-1.3_0-r41hc72bb7e_2.tar.bz2”h+Œ 882eb0ffb4723195b867fa6a84f33126”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pwr-1.3_0-r41hc72bb7e_2.tar.bz2”h0Œ@7cca8e4ca258560e36ee5d8745b9d8188ad7818a503da2a816ff5f2d53623585”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ[ÃcùXhEJ ´ hFˆubh)”}”(hŒcondax”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!condax-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ e5ed3b4a05a5a22280f98a2a0f2c9c66”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/condax-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d5a67c3499ed7edcea40777e7a9744d7f23c8214bc048e1b6bdc1489f75d2745”h2NhNh3(Œclick”Œensureconda”Œimportlib-metadata”Œpydantic”Œpython >=3.7”Œpyyaml”Œrequests”Œtyper”Œuserpath”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÛ_çië…hEM•7hFˆubh)”}”(hŒmesa-dri-drivers-cos7-aarch64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ:mesa-dri-drivers-cos7-aarch64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ f1b834bc32cf030de51a08299d49d8f2”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-aarch64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@f05e902990cc9fe90e3a0dd1aa171cfa25a89f69c237c014d42eb8217a404064”h2NhNh3Œ#libdrm-cos7-aarch64 >=2.4.83 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ãAXhEJ˜hFˆubh)”}”(hŒpseudonetcdf”h#Œ3.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pseudonetcdf-3.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ cec3b7998274765c9749e1c60aab4ea1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pseudonetcdf-3.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@071f30e62dad200aed1e514b0fc544f0cb3f1f8f1f7bdb315fa889306180a0c9”h2NhNh3(Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpandas”Œ
python >=3”Œpyyaml”Œscipy”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGAØš[Q¡©ühEJEU hFˆubh)”}”(hŒ	r-default”h#Œ1.0.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-default-1.0.0-r41hc72bb7e_1003.tar.bz2”h+Œ f7561b0978d978850175206f635801dd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-default-1.0.0-r41hc72bb7e_1003.tar.bz2”h0Œ@57a1ef14e5f85267f38648f925a27883f559b590e61aae9b919266fa535b3bce”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ‹¯ r°hEM[hFˆubh)”}”(hŒlibxdamage-devel-cos7-aarch64”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8libxdamage-devel-cos7-aarch64-1.1.4-h9d98e8f_104.tar.bz2”h+Œ b6bf0c5c47561a4d860e9927357d20b6”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-aarch64-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@42b2d03b03f69d07f397a20c2bbd4353c74c4ea84bf8b1533f1f0029b1830623”h2NhNh3Œ%libxdamage-cos7-aarch64 ==1.1.4 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz#QG®hEMþhFˆubh)”}”(hŒssl_match_hostname”h#Œ3.7.0.1”h%Œpy_1000”h'Mèhhh(h)hŒ*ssl_match_hostname-3.7.0.1-py_1000.tar.bz2”h+Œ cfc326e135c210415aa0c4ce479d728f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/ssl_match_hostname-3.7.0.1-py_1000.tar.bz2”h0Œ@46729b58b4d6fa0aee16a35763bcdf803f38a1eb2f77a1d2c3afbf686614b8f3”h2NhNh3Œ	backports”Œpython”†”h9h?h@ŒPSF 2”hDGA×êÏ¹&éhEM hFˆubh)”}”(hŒr-gamlss.data”h#Œ6.0_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-gamlss.data-6.0_2-r41hc72bb7e_0.tar.bz2”h+Œ 761c2e64ff9180101d5b8fd2452b9aad”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gamlss.data-6.0_2-r41hc72bb7e_0.tar.bz2”h0Œ@047136eac0078a50aeff90a6a492ea2dd1402040f347364f635a19ac540c8f2d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØaëÕhQìhEJÏ hFˆubh)”}”(hŒwera2netcdf”h#Œ1.0.0”h%Œpy_1”h'Khhh(h)hŒwera2netcdf-1.0.0-py_1.tar.bz2”h+Œ 573f50ec61da42d5f54574ea00cea4dd”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/wera2netcdf-1.0.0-py_1.tar.bz2”h0Œ@abffed9e8ff72efdbc7f9f8ed424229d009065c63ebfe2f6d5fccd846de05409”h2NhNh3(Œnetcdf4”Œpandas”Œpygc”Œpython”Œpython-dateutil”Œpytz”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐ0ü½ÒòhEM‘hFˆubh)”}”(hŒrepeated_test”h#Œ2.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(repeated_test-2.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ aaff1128dc6e8d1a1bfd5ad649fdaacd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/repeated_test-2.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b96ef0ccb1472192d8cd80a7e9c176792186242c02d8107b47bcce8ba4e4516b”h2NhNh3Œpython >=3.6”Œ	six >=1.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÑüÛ1&éhEMHGhFˆubh)”}”(hŒflask-fixtures”h#Œ0.3.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)flask-fixtures-0.3.8-pyhd8ed1ab_0.tar.bz2”h+Œ ef9ac23cbe0ae8d7e1fa558e59b1f3df”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/flask-fixtures-0.3.8-pyhd8ed1ab_0.tar.bz2”h0Œ@8e89288a29c67b09e5658a3800dbcafa60b30f3020d8fa80ac7c6bc0ddc807c9”h2NhNh3(Œflask”Œflask-sqlalchemy”Œpython >=3.0”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ>Ö’~úhEM"7hFˆubh)”}”(hŒ
simservice”h#Œ0.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%simservice-0.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ a00053f4368bc3a8dbcbe9492c88f30f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/simservice-0.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@820d29f19f56d30e549febfe5717c92b15bed19a50437ca86e1308249621eb79”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÆà°1'hEMÂBhFˆubh)”}”(hŒ	r-capushe”h#Œ1.1.1”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ(r-capushe-1.1.1-r41hc72bb7e_1004.tar.bz2”h+Œ 6cbfe105208d909f0bc80acc1b75d040”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-capushe-1.1.1-r41hc72bb7e_1004.tar.bz2”h0Œ@24449a8e9dbc2d7964031b93442df3e49bea0349d0a50f927b49514ebc527064”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¾[N§ðhEJ€¶ hFˆubh)”}”(hŒtrufflehogregexes”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,trufflehogregexes-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ fec045d3a1c081a443d2e9bd3efb3b96”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/trufflehogregexes-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@e3923466ee339942282a816c2cd6152c44fa8cc56c23507edd4a5635803593e1”h2NhNh3Œpython >=3.7,<3.11”…”h9h?h@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAØÜÓå¬Ý/hEMQhFˆubh)”}”(hŒdoit-with-plugins”h#Œ0.35.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ-doit-with-plugins-0.35.0-pyh6c4a22f_0.tar.bz2”h+Œ 404b2f71093863f8f6a93c6b5181fe71”h.Œ[https://conda.anaconda.org/conda-forge/noarch/doit-with-plugins-0.35.0-pyh6c4a22f_0.tar.bz2”h0Œ@e4fcc0942bd422767cb271d8e283e719e5bf216f0363333afce49805312a3816”h2NhNh3Œdoit >=0.35.0,<1.0a0”Œpython >=3.8”Œ
setuptools”‡”h9h?hDGAØ”1¥²-hEMhFˆubh)”}”(hŒomnisci-pytools”h#Œ3.0.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ*omnisci-pytools-3.0.0-pyhd8ed1ab_1.tar.bz2”h+Œ 8daa12646e9444af37e364f52d84ea01”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/omnisci-pytools-3.0.0-pyhd8ed1ab_1.tar.bz2”h0Œ@2c34f7966caeb8810cb845ff7b09dc151eab2032a169f2218c9ca509a58fba65”h2NhNh3(Œaltair”Œibis-framework”Œipython”Œ
ipywidgets”Œ
jupyterlab”Œnodejs”Œpymapd”Œ
python >=3”Œpyyaml”Œvdom”Œvega_datasets”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÁåFùÛhEMÊhFˆubh)”}”(hŒr-ggalt”h#Œ0.4.0”h%Œr41ha770c72_2”h'Khhh(h)hŒ#r-ggalt-0.4.0-r41ha770c72_2.tar.bz2”h+Œ cb2cca02601852e04cd9d13c0fed70a2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggalt-0.4.0-r41ha770c72_2.tar.bz2”h0Œ@bf6015bc60de6f92fb657beca551611d908d7e1544812f72ae4b95c4dd06594a”h2NhNh3(Œr-ash”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-extrafont”Œr-ggplot2 >=2.2.1”Œr-gtable”Œr-kernsmooth”Œr-maps”Œr-mass”Œr-plotly >=3.4.1”Œr-proj4”Œr-rcolorbrewer”Œr-scales”Œr-tibble”t”h9hºh@ŒAGPL”hBŒAGPL”hDGAØ+À¬ÈA‰hEJü# hFˆubh)”}”(hŒ	r-rainbow”h#Œ3.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rainbow-3.7-r41hc72bb7e_0.tar.bz2”h+Œ 4811bd31d64b8c44f64d0ceab72bcbab”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rainbow-3.7-r41hc72bb7e_0.tar.bz2”h0Œ@f6004752f28ef2f037eb3c675a9f5840c84bc92e720aab6ec82cc884b8f19d81”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-colorspace”Œr-hdrcde”Œr-ks”Œr-mass”Œr-pcapp”t”h9hºh@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×LÕ­a&éhEJ¹V hFˆubh)”}”(hŒr-ggbump”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-ggbump-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ b69be7c9def5ff00b239ac5171279a7d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggbump-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@a3f12ea88afe04cbcfd6ca0d4ac32c9ff75b9021499c5c9549b236f9b1d7f51f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-purrr”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+À¨9&éhEJ2  hFˆubh)”}”(hŒ	r-mratios”h#Œ1.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-mratios-1.4.2-r41hc72bb7e_1.tar.bz2”h+Œ 4aebe4ddeb7552eb60ce4104df73ff06”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mratios-1.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@08594071295073a0eb0caf09b5d7128b83594a3ffdccfb0a29677ea4a2f02fda”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-multcomp”Œ	r-mvtnorm”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØž<ŽùÛhEJMl hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpyhd8ed1ab_12”h'Khhh(h)hŒ)fenics-ffc-2019.1.0-pyhd8ed1ab_12.tar.bz2”h+Œ fe48f13b3fbd31bb26fe6e9bdf4948cb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-pyhd8ed1ab_12.tar.bz2”h0Œ@0e82b5fac59f1e9e10ec4f534551de094bb9dcb81f8d12c1a1eca0ef8c17132c”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×çÄì›¦hEJlç hFˆubh)”}”(hŒ
r-generics”h#Œ0.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-generics-0.1.3-r41hc72bb7e_1.tar.bz2”h+Œ 91a23d57270d474ab35b970ab153bdf4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-generics-0.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@20e2cb128a0cff32dd9345dcec092e4b6329665f19778cba8ae919a3d6596497”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÐ.)›"ÑhEJZq hFˆubh)”}”(hŒpydeck-carto”h#Œ0.1.0b9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pydeck-carto-0.1.0b9-pyhd8ed1ab_0.tar.bz2”h+Œ 593f0b4d3e1df49ecf4d7c52dde915a8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pydeck-carto-0.1.0b9-pyhd8ed1ab_0.tar.bz2”h0Œ@4fae95805899d8e93ceaeddf60dd8088638141054ec6f69781eee3a614e1dd77”h2NhNh3Œcarto-auth >=0.1.0b5”Œpydeck >=0.8.0b4”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÚK¼kSøhEM&hFˆubh)”}”(hŒr-reprex”h#Œ2.0.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-reprex-2.0.2-r40hc72bb7e_0.tar.bz2”h+Œ ab86a9b068b9edb50eb792687ea09546”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reprex-2.0.2-r40hc72bb7e_0.tar.bz2”h0Œ@d44952682acd717ccfbbcf033d9f89d84773ae6887c820577f425b35ccccbe7b”h2NhNh3(Œpandoc >=2.0”Œr-base >=4.0,<4.1.0a0”Œr-callr >=3.6.0”Œr-cli >=3.2.0”Œr-clipr >=0.4.0”Œr-fs”Œr-glue”Œr-knitr >=1.23”Œr-lifecycle”Œr-rlang >=1.0.0”Œr-rmarkdown”Œr-rstudioapi”Œr-withr >=2.3.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¿>A£×hEJ¨Ì hFˆubh)”}”(hŒsklearn-genetic”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*sklearn-genetic-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 018ea2702934cf038374fa86347e0849”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/sklearn-genetic-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@309411160ce3e8e5f2d9d8725171d8ab4a103e006e1c1545f4f265e2ce0bc169”h2NhNh3(Œdeap >=1.0.2”Œmultiprocess”Œnumpy”Œpython >=3.6”Œscikit-learn >=0.23”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØxÀ¿?
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r-xlsxjars”h#Œ0.6.1”h%Œr36h6115d3f_3”h'Khhh(h)hŒ&r-xlsxjars-0.6.1-r36h6115d3f_3.tar.bz2”h+Œ 34df6b160ba9ae0d94d3040f7335c11e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xlsxjars-0.6.1-r36h6115d3f_3.tar.bz2”h0Œ@b7e5bf339bab91ed86234e705dfb38969de569f79b61e9412cd37c4030910845”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×À÷L-OßhEJ}½ hFˆubh)”}”(hŒtransifex-client”h#Œ0.14.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,transifex-client-0.14.4-pyhd8ed1ab_0.tar.bz2”h+Œ 02ac3ce41de64cf0e3877fd253bb253c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/transifex-client-0.14.4-pyhd8ed1ab_0.tar.bz2”h0Œ@68a5b296a25f1f70445fd7333df8ee0d7d40f26ddc615b4a432c744cde7b5e5f”h2NhNh3(Œgitpython <4.0.0”Œpython <3.10”Œpython-slugify <5.0.0”Œrequests >=2.19.1,<3.0.0”Œ
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h35d5160_0”h'K hhh(h)hŒ%napari-menu-0.4.17-h35d5160_0.tar.bz2”h+Œ 62c2749e89114cc2b8a346a5ae07aa97”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/napari-menu-0.4.17-h35d5160_0.tar.bz2”h0Œ@9f10b9e8c4bcb0d29e4c28c9deb84136e2aa5a08f667864189ac6cbc14bb379e”h2NhNh3Œnapari 0.4.17.*”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÛ…1ƒ¶FhEJqè hFˆubh)”}”(hŒmodelx”h#Œ0.21.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"modelx-0.21.0-pyhd8ed1ab_0.tar.bz2”h+Œ 94d83c9dc4965e31c0f6cb04ed5f4f2b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/modelx-0.21.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0fa953a02fe63bdcedd8dc7a26c7d9c81936394022fb3b330772ceb9c1f37871”h2NhNh3Œ	asttokens”Œnetworkx >=2.0”Œpython >=3.6”‡”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØË°¬jhEJ‰Í hFˆubh)”}”(hŒoauthlib”h#Œ2.1.0”h%Œpy_0”h'K hhh(h)hŒoauthlib-2.1.0-py_0.tar.bz2”h+Œ 42eb487413a9d657913292944a7dfa9d”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/oauthlib-2.1.0-py_0.tar.bz2”h0Œ@10f9594f194ffaebe80e6e05a47a33b11580f3a630faaef86b67f3fc2c585ace”h2NhNh3(Œblinker”Œcryptography”Œpyjwt >=1.0.0”Œpython”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖÄ†ôIºhEJà hFˆubh)”}”(hŒ	dtool_tag”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$dtool_tag-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 23fa83ed43d38f564f5e67026dec879f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dtool_tag-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@8e19c3fb1690baebd25e65bb02fecb30f0e5da44262030d8b1e9a8f922766319”h2NhNh3(Œclick”Œ	dtool_cli”Œdtoolcore >=3.17.0”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ3Íxî—hEM=hFˆubh)”}”(hŒ
r-mathjaxr”h#Œ1.6_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-mathjaxr-1.6_0-r41hc72bb7e_1.tar.bz2”h+Œ 64176ef745dc7b8902f757324950bc4d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mathjaxr-1.6_0-r41hc72bb7e_1.tar.bz2”h0Œ@981256e9b0576b116300f12d80577023c61780f713bb8a066d3b46cbc0a6954d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐê:°!hEJÉ? hFˆubh)”}”(hŒr-preferably”h#Œ0.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-preferably-0.4.1-r42hc72bb7e_1.tar.bz2”h+Œ 829338848688c9a24c425d3dd83e78b6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-preferably-0.4.1-r42hc72bb7e_1.tar.bz2”h0Œ@8b10ef9740e2e5a0f796045ff4e6026083b8b746bb1d87281466b418801ab3b5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-knitr”Œ	r-pkgdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ5î¤ZhEJ+ hFˆubh)”}”(hŒlibxt-cos6-x86_64”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,libxt-cos6-x86_64-1.1.4-h9d98e8f_104.tar.bz2”h+Œ 22283e3ff10cffea7af3a3f5e8c34a7f”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libxt-cos6-x86_64-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@e376220ed5326477a9073496f400b5967d2c5ddb48377aa576e3aea068246110”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|$
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r-denoiser”h#Œ1.0.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-denoiser-1.0.2-r35h6115d3f_0.tar.bz2”h+Œ d1bce1e39b617ca2f29075707cd2ff62”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-denoiser-1.0.2-r35h6115d3f_0.tar.bz2”h0Œ@01ce01fa013cf93d6d3d46032ff0c9a2edf3f76110b5f14c052d13250884cd3e”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-factominer”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×´`®ó¶hEJ‘H hFˆubh)”}”(hŒ	pyisemail”h#Œ1.3.2”h%Œpy_0”h'K hhh(h)hŒpyisemail-1.3.2-py_0.tar.bz2”h+Œ d0a244c71e6428fd0412527dd15d0adc”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pyisemail-1.3.2-py_0.tar.bz2”h0Œ@bc79afb53776ee7f457b3f5cf7f168f6e4b12b59c615ae84cc8e89aaae6a336c”h2NhNh3Œdnspython >=1.15.0”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×eÙÜ`QìhEM:ThFˆubh)”}”(hŒrequests-async”h#Œ0.6.2”h%Œpy_1”h'Khhh(h)hŒ!requests-async-0.6.2-py_1.tar.bz2”h+Œ 2e2411b42df0f533727cbda558c978d4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/requests-async-0.6.2-py_1.tar.bz2”h0Œ@ad98f71da0cb4671fbaa621ff2918d7365ab3b3ec54ec0ec8116338471fc22d9”h2NhNh3Œhttp3 0.6.*”Œpython >=3.6”Œrequests 2.*”‡”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×|<êýó¶hEM‹6hFˆubh)”}”(hŒr-leaflet.providers”h#Œ1.9.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ/r-leaflet.providers-1.9.0-r35h6115d3f_0.tar.bz2”h+Œ f362305ccc19af6ec3a6df470b9579e3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-leaflet.providers-1.9.0-r35h6115d3f_0.tar.bz2”h0Œ@e2082a2d82d32f37f9275fa2ec8dd0fe83c9ba1dcf8efa9e0561c8389eb89bf5”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×súÔr°hEM’×hFˆubh)”}”(hŒ
r-geofacet”h#Œ0.2.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-geofacet-0.2.0-r40hc72bb7e_1.tar.bz2”h+Œ 7d48fbb63bf464ecf287b70d769b7a31”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geofacet-0.2.0-r40hc72bb7e_1.tar.bz2”h0Œ@133c31860742c3579ea0fa97ecca9e2221529181c46da268ff27cd16f050fd58”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-geogrid”Œr-ggplot2 >=3.2.1”Œ	r-ggrepel”Œr-gridextra”Œr-gtable”Œr-imgur”Œr-rnaturalearth”Œr-sf”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ#‡™º^hEJ5; hFˆubh)”}”(hŒr-htmlutils”h#Œ0.1.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-htmlutils-0.1.8-r42hc72bb7e_1.tar.bz2”h+Œ f2393a6f5c94a6c6c9a9c45332e976db”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-htmlutils-0.1.8-r42hc72bb7e_1.tar.bz2”h0Œ@76b50c6aacaf79e240c4ebf7db3f7d215d360796b8bf9915773fa2a00d9af9bf”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r2html”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒiR°!hEJŽ¶ hFˆubh)”}”(hŒlyricsmaster”h#Œ2.8.1”h%Œpy_0”h'K hhh(h)hŒlyricsmaster-2.8.1-py_0.tar.bz2”h+Œ 446c7bdb7313abb46429afd8d7c95224”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/lyricsmaster-2.8.1-py_0.tar.bz2”h0Œ@7f51085f96544fec7a95e9dd3eba67104b79e1825c21307d29c944158a8f5106”h2NhNh3(Œbeautifulsoup4”Œcertifi”Œclick >=6.0”Œgevent”Œlxml”Œpysocks”Œpython”Œstem”Œurllib3”t”h9h?h@ŒMIT”hBŒMIT”hDGA×*‰ chEM¹DhFˆubh)”}”(hŒlibxdamage-cos7-aarch64”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ2libxdamage-cos7-aarch64-1.1.4-ha826a6f_103.tar.bz2”h+Œ e18e99ec4c363771f454ef7d21431b80”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-aarch64-1.1.4-ha826a6f_103.tar.bz2”h0Œ@edb8754441872200a15a803f2edc3ef643da797a4b6620ca53bbcc95b75b04c0”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/#Ÿß;hEMDhFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ'r-mcpan-1.1_21-r40hc72bb7e_1002.tar.bz2”h+Œ cf55db5c78d15416742be2f44edcb883”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r40hc72bb7e_1002.tar.bz2”h0Œ@c07ade1d431b9c2f68218555ac66d45f5737d8af37f984710e1985bab21be796”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+G¸r°hEJŸÝ hFˆubh)”}”(hŒr-assertive.data”h#Œ0.0_3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ,r-assertive.data-0.0_3-r41hc72bb7e_2.tar.bz2”h+Œ d9b1b3349f034a015b2c43dcd744174a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.data-0.0_3-r41hc72bb7e_2.tar.bz2”h0Œ@70e0ec56e58961c275919a35f21a859c8516cefba33c879c45fb866f9440141f”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.1,<4.2.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+&<“hEJg hFˆubh)”}”(hŒ!xorg-x11-server-xvfb-cos7-ppc64le”h#Œ1.20.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ>xorg-x11-server-xvfb-cos7-ppc64le-1.20.4-ha826a6f_1103.tar.bz2”h+Œ 4c5fe6bfb58999994f942d49a67fbeba”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos7-ppc64le-1.20.4-ha826a6f_1103.tar.bz2”h0Œ@2a357d6906d0d1e7fac8fd7f872245446010e60e2eb54a4a7c9347cf0e2e1886”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”Œ3xorg-x11-server-common-cos7-ppc64le >=1.20.4 *_1103”†”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGA×Æ3K A‰hEJÿ› hFˆubh)”}”(hŒbiothings_client”h#Œ0.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+biothings_client-0.2.6-pyhd8ed1ab_0.tar.bz2”h+Œ 75af7891ea245fcd158972b9b3fd1f34”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/biothings_client-0.2.6-pyhd8ed1ab_0.tar.bz2”h0Œ@849525a2db9c9a58f0eff95d1db04d21b3006ebcf39c024d6120e8940f86db6e”h2NhNh3(Œpandas >=0.18.0”Œpyld >=0.7.2”Œpython >=3.6”Œrequests >=2.3.0”Œrequests-cache >=0.4.13”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¸ª+hEM‹zhFˆubh)”}”(hŒr-ztable”h#Œ0.2.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-ztable-0.2.3-r40hc72bb7e_0.tar.bz2”h+Œ 0e2d05abc0a08236c0df7c9877e3e715”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ztable-0.2.3-r40hc72bb7e_0.tar.bz2”h0Œ@65265a520af3280ea6eb54fba0b892af2a002f13abaf9344bc85d55cee36edd0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-flextable”Œ
r-magrittr”Œ	r-officer”Œr-rcolorbrewer”Œr-rstudioapi”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØT³ûÖÙhEJFý hFˆubh)”}”(hŒlibglvnd-opengl-cos7-ppc64le”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7libglvnd-opengl-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h+Œ c67da577f73b848b3cd668ea169c8b9f”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libglvnd-opengl-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@bb3c48b09046f8ab0cea3896c743caa3c2f3ef9ce2cdc075f894f92f618e2939”h2NhNh3Œ#libglvnd-cos7-ppc64le ==1.0.1 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Š÷¯²hEMd÷hFˆubh)”}”(hŒqnorm”h#Œ0.8.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ qnorm-0.8.1-pyh6c4a22f_0.tar.bz2”h+Œ 7e61da9377a92b9b35f125a7bc1feae5”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/qnorm-0.8.1-pyh6c4a22f_0.tar.bz2”h0Œ@b541ca08b58b5bc13a194742048402beeaacd8ab9f412b24885182db056113bf”h2NhNh3Œnumba”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØV«?OßhEMoAhFˆubh)”}”(hŒr-clisymbols”h#Œ1.2.0”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ+r-clisymbols-1.2.0-r40h6115d3f_1003.tar.bz2”h+Œ 9a1e1e46d4f198915479892ae9c2a8fa”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-clisymbols-1.2.0-r40h6115d3f_1003.tar.bz2”h0Œ@78b630bd553131e994d37efffca2a9377a389ac9700670422171189fe595a9ac”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬E´ýôhEM6ahFˆubh)”}”(hŒtomli-w”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"tomli-w-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 73506d1ab4202481841c68c169b7ef6c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tomli-w-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@efb5f78a224c4bb14aab04690c9912256ea12c3a8b8413e60167573ce1282b02”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØj”C(£×hEMD'hFˆubh)”}”(hŒlibxdamage-devel-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxdamage-devel-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h+Œ d70729f8636ff2c6242aef5bbd419d55”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h0Œ@2eac0a7f5d4542cfb3944fba22dd3f968890987d4b10836e3376925d783efa5c”h2NhNh3Œ&libxdamage-cos7-ppc64le ==1.1.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1ø´9hEM7hFˆubh)”}”(hŒr-geomapdata”h#Œ2.0_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-geomapdata-2.0_0-r42hc72bb7e_1.tar.bz2”h+Œ fbe5e2e72714696377bc378614b24b10”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-geomapdata-2.0_0-r42hc72bb7e_1.tar.bz2”h0Œ@11053f35e7136a5800512f07a6090ced9d597640bdfbd47b7eaa557ce9951589”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐþ¼jhEJÿÐ hFˆubh)”}”(hŒr-missforest”h#Œ1.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-missforest-1.5-r41hc72bb7e_0.tar.bz2”h+Œ 178b784b28bc9cce6153a5b7eeb0c23f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-missforest-1.5-r41hc72bb7e_0.tar.bz2”h0Œ@0197b4a171ba4507caa8e8cd0d3a93a40cd2657c3faec3a402bd17a0416d1906”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dorng”Œ	r-foreach”Œr-iterators”Œr-itertools”Œr-randomforest”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ–RªuÂhEJ¹˜ hFˆubh)”}”(hŒrednose”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"rednose-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ d0c0c5f59e562d687937e71f349b7bc7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rednose-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e0dbc47c95ea491c9454545a66d6029c8a52b58a1e32c9b33fc061e120042ec7”h2NhNh3(Œcolorama”Œpython >=3.6”Œpython-termstyle >=0.1.7”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ,ü#´‹DhEMk8hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy37h1234567_2”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py37h1234567_2.tar.bz2”h+Œ 371aa25bb4a27de143020448d1ce8fca”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py37h1234567_2.tar.bz2”h0Œ@b6a44bdee378ad73ac1abb9c879fce2b4e822304d773c18cf1c29f7f5445e404”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØŠÁå/;dhEJi hFˆubh)”}”(hŒr-ecume”h#Œ0.9.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ#r-ecume-0.9.1-r36hc72bb7e_0.tar.bz2”h+Œ 6b9465305106e15494c6db23b69b563a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ecume-0.9.1-r36hc72bb7e_0.tar.bz2”h0Œ@d06b2893ac79d3047d51290a293d0d44a79380d59dd54ea55afa5731f0c8e3fc”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-caret”Œr-dplyr”Œr-e1071”Œ	r-kernlab”Œ
r-magrittr”Œ	r-pbapply”Œr-spatstat >=2.0_0”Œr-spatstat.geom”Œr-transport”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ.K¤í‘hEJ¦d hFˆubh)”}”(hŒ
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r-jsonlite”Œr-knitr”Œ
r-lazyeval”Œ
r-magrittr”Œr-r6”Œr-rlang”Œ	r-stringr”Œr-taxize”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ
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hEJd hFˆubh)”}”(hŒr-iswr”h#Œ2.0_8”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-iswr-2.0_8-r35h6115d3f_0.tar.bz2”h+Œ d6ca110a900d97db8d15946b437c4553”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-iswr-2.0_8-r35h6115d3f_0.tar.bz2”h0Œ@070edbd1ed3a14182e6ff7bc5cfeae240b668cb574f90e7e89aa81cabc8e84e5”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×‰dzMÓhEJçy hFˆubh)”}”(hŒ
r-corrplot”h#Œ0.92”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-corrplot-0.92-r40hc72bb7e_0.tar.bz2”h+Œ 88f21abd67b1582721a80ed03ad54453”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-corrplot-0.92-r40hc72bb7e_0.tar.bz2”h0Œ@7a7e160935b267d3036d9c3351414af765a85eb76cabbcb9f45df3d6f464f0dc”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØe¡>©G®hEJ÷; hFˆubh)”}”(hŒr-praise”h#Œ1.0.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ'r-praise-1.0.0-r35h6115d3f_1002.tar.bz2”h+Œ 0aaeac7384f8ce5cf207f553dcabd451”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-praise-1.0.0-r35h6115d3f_1002.tar.bz2”h0Œ@9026363f60dec67a2f7ac607c51d553cf1ba7dd93d5dcddd0fe7a6e8f27ac36c”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×K­@¬¼jhEM„ZhFˆubh)”}”(hŒ	r-howmany”h#Œ0.3_1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ(r-howmany-0.3_1-r40hc72bb7e_1002.tar.bz2”h+Œ f20adbdb5aebb04281d91b659a1a52a0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-howmany-0.3_1-r40hc72bb7e_1002.tar.bz2”h0Œ@b4591031ea0a4ed006d1fbbcc874b1be7fd2b3fa2d9bd775b30dc9f8062fbfa0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+'4fÈ´hEM9ÑhFˆubh)”}”(hŒr-collapsibletree”h#Œ0.1.7”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ0r-collapsibletree-0.1.7-r41hc72bb7e_1003.tar.bz2”h+Œ b9b03154e30cc962f0d936aaf618c62f”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-collapsibletree-0.1.7-r41hc72bb7e_1003.tar.bz2”h0Œ@aedab93e27c09ce768ede37960851ade97cb79bc6711a5987ba1e19eb9174447”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.tree”Œr-htmlwidgets”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ“ógß;hEJ¬R hFˆubh)”}”(hŒpyxdg”h#Œ0.28”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpyxdg-0.28-pyhd8ed1ab_0.tar.bz2”h+Œ c1c05cc9dfdaee224e49c59fc7e47530”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyxdg-0.28-pyhd8ed1ab_0.tar.bz2”h0Œ@1a4d7924fccdb6385713dc6fc2de37476dea928a61aa7e2d21c6b58290e4b140”h2NhNh3Œ
python >=3”…”h9h?h@ŒLGPL-2.0-only”hBŒLGPL”hDGAØ§Ž«ñG®hEM‘¹hFˆubh)”}”(hŒ	astrocats”h#Œ0.3.37”h%Œpy_0”h'K hhh(h)hŒastrocats-0.3.37-py_0.tar.bz2”h+Œ d9f18d365bddf6e780bf4543cff124a9”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/astrocats-0.3.37-py_0.tar.bz2”h0Œ@05d37b18f1f33677a4cd1d947a381262c87571319f614e3ce223f3822a3b0510”h2NhNh3(Œads”Œastropy <3.0”Œbeautifulsoup4”Œbokeh”Œfuture”Œ	gitpython”Œinflect”Œ
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r-quadprog”Œr-sel”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖüÃgü9XhEJ÷5 hFˆubh)”}”(hŒr-atsa”h#Œ3.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-atsa-3.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 44b06bd36971bdb7c68bd6b876c79210”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-atsa-3.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@a2d87c9e564671825d2ef0b93d7e17cd67ddac14e55953ac625eef59cd2d6800”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ’Å;I™šhEJ ( hFˆubh)”}”(hŒstestr”h#Œ4.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!stestr-4.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6018ec1826db3f4668c4a29e978b27d6”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/stestr-4.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cf84ea72a1c9bcf65c051f1b494395680ed2c711794f375330f62d4679a87781”h2NhNh3(Œcliff >=2.8.0”Œfixtures >=3.0.0”Œfuture”Œ3pbr !=2.1.0,!=4.0.0,!=4.0.1,!=4.0.2,!=4.0.3,>=2.0.0”Œpython >=3.6”Œpython-subunit >=1.4.0”Œpyyaml >=3.10.0”Œtesttools >=2.2.0”Œvoluptuous >=0.8.9”t”h6Œsubunit2sql >=1.8.0”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØË1Y7LhEJQ* hFˆubh)”}”(hŒmesa-libegl-devel-cos6-x86_64”h#Œ11.0.7”h%Œh1795305_101”h'Kehhh(h)hŒ9mesa-libegl-devel-cos6-x86_64-11.0.7-h1795305_101.tar.bz2”h+Œ cfefeaf27d302aa36cd3e723075e45b3”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos6-x86_64-11.0.7-h1795305_101.tar.bz2”h0Œ@b71db3cfe57bb0e510fbd34a26f8b83fea7b40c750848a8fe93b0284738c79a1”h2NhNh3Œmesa-libegl-cos6-x86_64 11.0.7”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅQ  hEMDhFˆubh)”}”(hŒperl-text-wrap”h#Œ	2021.0814”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ1perl-text-wrap-2021.0814-pl5321hd8ed1ab_0.tar.bz2”h+Œ 5bf3675e2806454725e7e834e0b1b6d2”h.Œ_https://conda.anaconda.org/conda-forge/noarch/perl-text-wrap-2021.0814-pl5321hd8ed1ab_0.tar.bz2”h0Œ@58a7c8daba79d39c4cb4601c2a8722ec79e1f8303c49db71565b55434198a92f”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÍb–7²hEM¦FhFˆubh)”}”(hŒlibglvnd-glx-cos7-x86_64”h#Œ1.0.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libglvnd-glx-cos7-x86_64-1.0.1-ha826a6f_1103.tar.bz2”h+Œ f8d2a57c66a4b4a90435d6dcba6394d1”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-glx-cos7-x86_64-1.0.1-ha826a6f_1103.tar.bz2”h0Œ@6644432f18bc4a5f08c752aea76efcc800677ca47df207acdc984e61912c4aff”h2NhNh3Œ#libglvnd-cos7-x86_64 ==1.0.1 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1yÍ‘hhEJv¾ hFˆubh)”}”(hŒfastapi_utils”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(fastapi_utils-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ ce1e992e162a560afdfcabd502849922”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/fastapi_utils-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@25fc1664d990b52fc7880214a0eda80554d31d7cd6b3e5ecece7d1690d1015b5”h2NhNh3(Œfastapi”Œpydantic >=1.0,<2.0”Œpython >=3.6,<4.0”Œsqlalchemy >=1.3.12,<2.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ{Ëâ*°!hEMÿDhFˆubh)”}”(hŒr-xmisc”h#Œ0.2.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ&r-xmisc-0.2.1-r35h6115d3f_1001.tar.bz2”h+Œ 804c19b0bc8ca9e26e6cba40286a4004”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xmisc-0.2.1-r35h6115d3f_1001.tar.bz2”h0Œ@bc9e8b7d9bd5fa43c2df514e04c84ad7cd80744f3b77af1f45a76b9293c0d952”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Lœ©ûçhEJˆ hFˆubh)”}”(hŒflask-login”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&flask-login-0.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ 427457b9179d5f1d65b11ca7761e60ee”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/flask-login-0.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@39efb8711fcafaf82f2e69f97288f950d0dd5bbe14dedbc6648a28b77f0fcabf”h2NhNh3Œflask >=1.0.4”Œpython >=3.7”Œwerkzeug >=1.0.1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ·ËWÕÒòhEMJhFˆubh)”}”(hŒr-skewhyperbolic”h#Œ0.4_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-skewhyperbolic-0.4_0-r41hc72bb7e_1.tar.bz2”h+Œ 930ca0a8414f956337c64a97a445a26e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-skewhyperbolic-0.4_0-r41hc72bb7e_1.tar.bz2”h0Œ@7ca2dc6893bfc5f833ff3368a328b2252429d3f24953e3f1f2fbfa6d12a4bc5f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-distributionutils”Œr-generalizedhyperbolic”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒðTjhEJÇÿ hFˆubh)”}”(hŒr-xmisc”h#Œ0.2.1”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ'r-xmisc-0.2.1-r351h6115d3f_1000.tar.bz2”h+Œ 6b5a0a6ec6e922f3fad1877de0633c0f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-xmisc-0.2.1-r351h6115d3f_1000.tar.bz2”h0Œ@b9fd2bdcedb3bed15099f5a19038b7c4804d3deb92b43f9571e895f96130689a”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×žÍNE¢hEJM hFˆubh)”}”(hŒchannels”h#Œ4.0.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#channels-4.0.0-pyhd8ed1ab_1.tar.bz2”h+Œ 919930d49170caf6393fce612075aab3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/channels-4.0.0-pyhd8ed1ab_1.tar.bz2”h0Œ@f942495bcd724a183ae693077c10e3975bca2620f9191892dcdd5a27a2ba7a54”h2NhNh3(Œasgiref >=3.5,<4”Œdaphne >=4,<5”Œdjango >=3.2,<5”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÛØ»Æ¨hEMêdhFˆubh)”}”(hŒr-misc3d”h#Œ0.9_1”h%Œr42ha770c72_1”h'Khhh(h)hŒ$r-misc3d-0.9_1-r42ha770c72_1.tar.bz2”h+Œ 1b652219904f8b50d971f99d470b0b69”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-misc3d-0.9_1-r42ha770c72_1.tar.bz2”h0Œ@463d7e85ed2af7872cde2c224bdbe2f0f38b173ab249d77784b7b0cb3bb7e906”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØÐPºr¬hEJxþ hFˆubh)”}”(hŒr-binhf”h#Œ1.0_3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ&r-binhf-1.0_3-r42hc72bb7e_1004.tar.bz2”h+Œ 85af036d40de316d8a9ac29f05eed60f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-binhf-1.0_3-r42hc72bb7e_1004.tar.bz2”h0Œ@0cf575b100685469eda9d8e7ab3416006221a0d58fc3de3f281d2a845f186fe7”h2NhNh3(Œr-adlift >=0.9.2”Œr-base >=4.2,<4.3.0a0”Œr-ebayesthresh”Œr-wavethresh”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ¢µnffhEJÊ£ hFˆubh)”}”(hŒflake8”h#Œ3.9.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!flake8-3.9.2-pyhd8ed1ab_0.tar.bz2”h+Œ 37d685abea0a25c921431edda02ad143”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/flake8-3.9.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e5b231159580b9bc15611d75225b812ce11af91825f0329946b9d7073bd89845”h2NhNh3(Œimportlib-metadata”Œmccabe >=0.6.0,<0.7.0”Œpycodestyle >=2.7.0,<2.8.0”Œpyflakes >=2.3.0,<2.4.0”Œpython >=3.5”Œsetuptools >=30.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ&[ÒÝ/hEJ®f hFˆubh)”}”(hŒr-concaveman”h#Œ1.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-concaveman-1.1.0-r41hc72bb7e_1.tar.bz2”h+Œ b4e4daa2134812d4eb9a158484cc5ef4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-concaveman-1.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@4ed91773e8035b81b4e8a77df6240e472f5c65f0bb973c6feaefbff4ced4f20a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-jsonlite”Œ
r-magrittr”Œr-sf”Œr-v8”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÔ%;•hEJäå hFˆubh)”}”(hŒratelimiter”h#Œ1.2.0”h%Œpyhd8ed1ab_1003”h'Mëhhh(h)hŒ)ratelimiter-1.2.0-pyhd8ed1ab_1003.tar.bz2”h+Œ 432d4fa75ebc28bf4b337eeff0606cf4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/ratelimiter-1.2.0-pyhd8ed1ab_1003.tar.bz2”h0Œ@8475ffa715a8c8c9145ca068fabd9d6a994045c7da8071fb78a9547e8a77298f”h2NhNh3Œpython >=3,<3.11”…”h9h?h@Œ
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setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÿÖë¬¼jhEMþhFˆubh)”}”(hŒr-rose”h#Œ0.0_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-rose-0.0_4-r41hc72bb7e_0.tar.bz2”h+Œ 069570b4acad62a7c3ee77742183a50a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rose-0.0_4-r41hc72bb7e_0.tar.bz2”h0Œ@9671c9efe8a2eb12f4a4343fd9b2c7dc225676cdcc37c8832e4d5803bab76c5f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ1Í £SøhEJï hFˆubh)”}”(hŒ	r-emdbook”h#Œ1.3.12”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-emdbook-1.3.12-r36h6115d3f_0.tar.bz2”h+Œ 8e390cdefa9b134190f61a6a522ab80b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-emdbook-1.3.12-r36h6115d3f_0.tar.bz2”h0Œ@1694729ef7a4d6a1f1faa6b2ee4500b9a056d157181649c8f002fedce05080fc”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-bbmle”Œr-coda”Œ	r-lattice”Œr-mass”Œr-plyr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×“\Õß;hEJ+} hFˆubh)”}”(hŒorange3-textable”h#Œ3.1.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,orange3-textable-3.1.11-pyhd8ed1ab_0.tar.bz2”h+Œ b1897a33107b3ce27bc18b0159a8740a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/orange3-textable-3.1.11-pyhd8ed1ab_0.tar.bz2”h0Œ@48ff5a518265cba3c38a5d66aea6a3e61cdb139d333b21e9a4653774a6c4f543”h2NhNh3(Œappdirs”Œchardet”Œfuture”Œlttl >=2.0.12”Œorange3 >=3.14.0”Œ	pycountry”Œ
python >=3”Œ
setuptools”Œtreetaggerwrapper”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ‚Ÿ^ÐA‰hEJ‰ê hFˆubh)”}”(hŒ
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hd8ed1ab_0”h'K hhh(h)hŒ*typing-extensions-4.3.0-hd8ed1ab_0.tar.bz2”h+Œ f3e98e944832fb271a0dbda7b7771dc6”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.3.0-hd8ed1ab_0.tar.bz2”h0Œ@57ea0e9a150b698f5a7b21b12987da7c321bb331fd07116ecced24eb1e056d2f”h2NhNh3Œ$typing_extensions 4.3.0 pyha770c72_0”…”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAØ¯ÕÜí‘hEM,!hFˆubh)”}”(hŒpropka”h#Œ3.1.0”h%Œpy_0”h'K hhh(h)hŒpropka-3.1.0-py_0.tar.bz2”h+Œ d3ba4969acdd9ac772e98e2dec500b06”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/propka-3.1.0-py_0.tar.bz2”h0Œ@1953bc7c747f87e835da4b8abb377647026da7ea10e3a7a08dca9485dc97cb26”h2NhNh3Œpython”Œ
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setuptools”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ2H÷²hEM_/hFˆubh)”}”(hŒr-batch”h#Œ1.1_5”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-batch-1.1_5-r41hc72bb7e_2.tar.bz2”h+Œ e5f3c06a1892df016bdf4a359f0bbb43”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-batch-1.1_5-r41hc72bb7e_2.tar.bz2”h0Œ@d5f192c39fdaeadb8f36ef442ea5856e23af1eb419e8401fcf563aceb70b4565”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+0Ê~úhEMDèhFˆubh)”}”(hŒopenorb-data-bc430”h#Œ1.0”h%j3G h'K hhh(h)hŒ openorb-data-bc430-1.0-0.tar.bz2”h+Œ 29f9848c96f42f8251b5a272fa8d8791”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/openorb-data-bc430-1.0-0.tar.bz2”h0Œ@5989abd6c70a3e011e16a6a564312d304be62b38ce974fcb21dccb3babaf5ade”h2NhNh3)h9hºh@ŒPublic Domain”hBŒPUBLIC-DOMAIN”hDGAÖõÿ™r°hEJ"hFˆubh)”}”(hŒlibbonobo-cos7-ppc64le”h#Œ2.32.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libbonobo-cos7-ppc64le-2.32.1-hdf0574f_1102.tar.bz2”h+Œ d2cbf6ec720521d2dd70ae874f6999eb”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-ppc64le-2.32.1-hdf0574f_1102.tar.bz2”h0Œ@b435d9f881eb3f41522051b9c4825979cf9df55b6ead62d2319a0dc1eed842a5”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Åi¡Aº^hEJ¸m hFˆubh)”}”(hŒspeg”h#Œ0.3”h%Œpyh9f0ad1d_1001”h'Méhhh(h)hŒ speg-0.3-pyh9f0ad1d_1001.tar.bz2”h+Œ 60b50c584aef93a8592022e8af00ef9f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/speg-0.3-pyh9f0ad1d_1001.tar.bz2”h0Œ@df10fc40b9be11ada4a7686367b25afd7c204b1ed31b337db7b82bd5878be725”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ão÷ÐA‰hEMWhFˆubh)”}”(hŒr-orgmassspecr”h#Œ0.5_3”h%Œr36h6115d3f_2”h'Khhh(h)hŒ*r-orgmassspecr-0.5_3-r36h6115d3f_2.tar.bz2”h+Œ d29f011fbbe2b68fabd85875092517bf”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-orgmassspecr-0.5_3-r36h6115d3f_2.tar.bz2”h0Œ@96f1d983f1ce2dd03113735c63c03e616068f53c7eb67b99c90449faad503d52”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×¬œy²n˜hEJÑñ hFˆubh)”}”(hŒpciutils-devel-cos6-x86_64”h#Œ3.1.10”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6pciutils-devel-cos6-x86_64-3.1.10-h9b0a68f_105.tar.bz2”h+Œ 7931a22513eae8f518dc3a49f7da0fb6”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos6-x86_64-3.1.10-h9b0a68f_105.tar.bz2”h0Œ@59912ed566d8f7e53d4d734c243f4f33f15573b88b28547b464e0f1315930150”h2NhNh3Œ(pciutils-libs-cos6-x86_64 ==3.1.10 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@X½9%hEM>vhFˆubh)”}”(hŒ
dictdiffer”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%dictdiffer-0.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3cb49199274e7f4d457d8fa2b84dea52”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/dictdiffer-0.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e60061903052844b7a7d9151bcf8d577275a2cdb0c924f589195d98c36ef0164”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ>žLÄ¼jhEM²BhFˆubh)”}”(hŒtypes_typed_ast”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*types_typed_ast-1.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5ec180a87764182ad343d7237490e85c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/types_typed_ast-1.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a2efdc6d8e9d8120324b2080cd8756517058c9f63062316bfab98567d4990575”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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r-inctools”h#Œ1.0.15”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-inctools-1.0.15-r40h6115d3f_1.tar.bz2”h+Œ 504237dab4608800e8b4b0d6cb1fef27”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-inctools-1.0.15-r40h6115d3f_1.tar.bz2”h0Œ@b98aff4859a6caffb3458a5cbb02185bf3928c054a419a08a8591871682b06b7”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-binom”Œ
r-cubature”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glm2”Œ
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r-tmvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬½ÄÝ/hEJ) hFˆubh)”}”(hŒ
r-liqueuer”h#Œ0.0.1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ&r-liqueuer-0.0.1-r40h6115d3f_2.tar.bz2”h+Œ cec274d0e349eb7984ab6ec45e7f0292”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-liqueuer-0.0.1-r40h6115d3f_2.tar.bz2”h0Œ@10c73acc22f4454f9aa7961101ee08acf285821a21a8c27487cdb21e9932665a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-itertools”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬±ªéûçhEJD_ hFˆubh)”}”(hŒ	r-tsibble”h#Œ1.1.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-tsibble-1.1.3-r41hc72bb7e_2.tar.bz2”h+Œ eef7bebb58c527df0fc99053e65b774e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tsibble-1.1.3-r41hc72bb7e_2.tar.bz2”h0Œ@d124d48d6f42dba7eff7a406a962869e8a0537046d62ee7fda22689a71a467dc”h2NhNh3(Œr-anytime >=0.3.1”Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-ellipsis >=0.3.0”Œ
r-generics”Œr-lifecycle”Œr-lubridate >=1.7.0”Œr-rlang >=0.4.6”Œr-tibble >=3.0.0”Œr-tidyselect >=1.0.0”Œr-vctrs >=0.3.1”t”h6(Œr-ggplot2 >=3.3.0”Œr-scales >=1.1.0”Œr-tidyr >=1.1.0”Œr-testthat >=3.0.0”Œr-nycflights13 >=1.0.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ7Â¿¾whEJÜ* hFˆubh)”}”(hŒpath-and-address”h#Œ2.0.1”h%Œpy_0”h'K hhh(h)hŒ#path-and-address-2.0.1-py_0.tar.bz2”h+Œ 3dbde7b3b8062fc13a99be28dc5dea91”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/path-and-address-2.0.1-py_0.tar.bz2”h0Œ@abdbda9ca40456e37debe6e22f0e58a52b00e83f962a0cce16171a7ba5aaa23f”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÊ¢’ñªhEMÃhFˆubh)”}”(hŒr-rpivottable”h#Œ0.3.0”h%Œr351h6115d3f_0”h'K hhh(h)hŒ*r-rpivottable-0.3.0-r351h6115d3f_0.tar.bz2”h+Œ 72b883b8c9b7458de433178025cae2ac”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rpivottable-0.3.0-r351h6115d3f_0.tar.bz2”h0Œ@fce90c761b0848e71ad2b765587db5c13bcf77f80a3c7eeadf8feba0f35e582c”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-htmlwidgets >=0.5”†”h9hºh@ŒMIT”hBŒMIT”hDGA×*éÛçmhEJF† hFˆubh)”}”(hŒnumactl-cos7-aarch64”h#Œ2.0.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1numactl-cos7-aarch64-2.0.12-h9b0a68f_1105.tar.bz2”h+Œ 470b3adf130d1206f9a448592740a130”h.Œ_https://conda.anaconda.org/conda-forge/noarch/numactl-cos7-aarch64-2.0.12-h9b0a68f_1105.tar.bz2”h0Œ@bceaccf9ce37c932455073b496dda0dbc31ea614d53d30c3b66cb45ec3a7f2e4”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@‡Ï’áHhEJ•I hFˆubh)”}”(hŒcached-property”h#Œ1.5.2”h%Œ
hd8ed1ab_1”h'Khhh(h)hŒ(cached-property-1.5.2-hd8ed1ab_1.tar.bz2”h+Œ 9b347a7ec10940d3f7941ff6c460b551”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2”h0Œ@561e6660f26c35d137ee150187d89767c988413c978e1b712d53f27ddf70ea17”h2NhNh3Œ"cached_property >=1.5.2,<1.5.3.0a0”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‰ÜÌÍhEM&hFˆubh)”}”(hŒ	sgmllib3k”h#Œ1.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$sgmllib3k-1.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ e741c12e1b51e1885b1b38f2180ac38f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sgmllib3k-1.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@ee178b08593a87ad377ac5730f31a43c026f5e5dd2cc89be83463abcb3532793”h2NhNh3Œpython”…”h9h?h@ŒBSD-1-Clause”hDGA××™^vÉhEML(hFˆubh)”}”(hŒmapkit”h#Œ1.2.6”h%Œpy_0”h'K hhh(h)hŒmapkit-1.2.6-py_0.tar.bz2”h+Œ 27a89f5277f74e257c6843e37964ee3e”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/mapkit-1.2.6-py_0.tar.bz2”h0Œ@11e41959678ad5378803ac76a0a1de35a197d772174c7f1a3516202f50625bbf”h2NhNh3Œpython 2.7.*”Œrequests”Œ
sqlalchemy”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×:P²-hEM½[hFˆubh)”}”(hŒr-xtractomatic”h#Œ3.4.2”h%Œr41h785f33e_3”h'Khhh(h)hŒ*r-xtractomatic-3.4.2-r41h785f33e_3.tar.bz2”h+Œ 79d2fea15067ad1953cf264904380ae4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-xtractomatic-3.4.2-r41h785f33e_3.tar.bz2”h0Œ@2e7311258a795231490df9c279e47d032f3bcfb8730df9667b032137b48e0ed4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-httr”Œr-ncdf4”Œr-readr”Œr-sp”t”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÑÅ„}VhEJw+ hFˆubh)”}”(hŒastral”h#Œ2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒastral-2.2-pyhd8ed1ab_0.tar.bz2”h+Œ ad1fbffed870820569b10d407f5f5e89”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/astral-2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d9260ed7b935d6de6cbcd19820ea629127c7eeb500829eab5be0fe9001f4c5a6”h2NhNh3Œpython >=3.6”Œpytz”Œrequests”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØSñG‘hshEM;}hFˆubh)”}”(hŒlibice-cos7-ppc64le”h#Œ1.0.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libice-cos7-ppc64le-1.0.9-h9d98e8f_1104.tar.bz2”h+Œ 7f34cb2c47f707533e91615413c3724a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libice-cos7-ppc64le-1.0.9-h9d98e8f_1104.tar.bz2”h0Œ@6652dfeaf2a449c02dd94dbf3cd56029df63f52214ea0ef9e4c31f6ae3bf053a”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy:—²hEJ	 hFˆubh)”}”(hŒr-readbitmap”h#Œ0.1.5”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ(r-readbitmap-0.1.5-r40hc72bb7e_2.tar.bz2”h+Œ d5c849347dae18b107ad0db24268299e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-readbitmap-0.1.5-r40hc72bb7e_2.tar.bz2”h0Œ@02d80e34278e2caa902b4f4067a26b422f408d3c50e9e9aba74a3c43007e62d0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bmp”Œr-jpeg”Œr-png”Œr-tiff”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+&ñªhEM‡whFˆubh)”}”(hŒr-geomtextpath”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-geomtextpath-0.1.1-r42hc72bb7e_1.tar.bz2”h+Œ ad602e2860d40191430b92d4ccd6303e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-geomtextpath-0.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@57e3cdcfd418125ced1307462e122d3a4df3559a365c5ab2d65aa19a886cdd58”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-rlang”Œr-scales”Œr-systemfonts”Œr-textshaping”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒwÊ`QìhEJ,É9 hFˆubh)”}”(hŒr-showimage”h#Œ1.0.0”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ*r-showimage-1.0.0-r35h6115d3f_1001.tar.bz2”h+Œ cf75b371b8267b749aa3c0f87880bacd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-showimage-1.0.0-r35h6115d3f_1001.tar.bz2”h0Œ@ff7ab5092ec77350f5742ae8701046153cec2e51377f6c1ee3d355b85fe22de2”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-png”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×L2Ì»¶FhEM2mhFˆubh)”}”(hŒr-quarto”h#Œ1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-quarto-1.2-r41hc72bb7e_1.tar.bz2”h+Œ 2a3447f68be21b77044e3106e8b64a2c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-quarto-1.2-r41hc72bb7e_1.tar.bz2”h0Œ@f3b5b2c90d3574a37a9e03c2d921a211ed826e2167bd1d33a09c761befa9743e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-later”Œ
r-processx”Œr-rmarkdown”Œr-rsconnect >=0.8.26”Œr-rstudioapi”Œr-yaml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ/Ø2°!hEJÎD hFˆubh)”}”(hŒxarray”h#Œ0.17.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"xarray-0.17.0-pyhd8ed1ab_0.tar.bz2”h+Œ 972b41b5afded8acbfed8ea18d016765”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/xarray-0.17.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4cca0dc71bd364ec1bac8070119127cee4dab087086bbb0e61a2c97066129360”h2NhNh3(Œnumpy >=1.17”Œpandas >=0.25,<2a0”Œpython >=3.6”Œ
setuptools”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ>`ÓC–hEJÆÄ hFˆubh)”}”(hŒsphinxcontrib-golangdomain”h#Œ
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fenics-ffc”h#Œ2019.1.0”h%Œpy_3”h'Khhh(h)hŒ fenics-ffc-2019.1.0-py_3.tar.bz2”h+Œ 8506cae6e468c3d23261a28b492cb8c2”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_3.tar.bz2”h0Œ@abf8c7dedcc907a4e2ff9ec57268a32221ffc55250894397ce9206c2111a69c4”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×@‚ñ1ë…hEJðè hFˆubh)”}”(hŒcoloredlogs”h#Œ15.0.1”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ'coloredlogs-15.0.1-pyhd8ed1ab_3.tar.bz2”h+Œ 7b4fc18b7f66382257c45424eaf81935”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/coloredlogs-15.0.1-pyhd8ed1ab_3.tar.bz2”h0Œ@0bb37abbf3367add8a8e3522405efdbd06605acfc674488ef52486968f2c119d”h2NhNh3Œhumanfriendly >=9.1”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ|c?þ$ÝhEMyžhFˆubh)”}”(hŒr-ensmodelvis”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-ensmodelvis-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 01eacbd7a5bf3b514061d25c4c80f767”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ensmodelvis-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@584ed7b475956a4a3ef51330f5c1fe36c0cbe89bafa193ea8d09a801d02b374d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œ
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r-pkgbuild”Œr-prettyunits”Œr-r6”Œr-rprojroot”Œr-sessioninfo >=1.1.1”Œr-withr”Œr-xopen”t”h9hºh@ŒMIT”hBŒMIT”hDGAØT„ZÂMÓhEJè¸ hFˆubh)”}”(hŒr-rsnps”h#Œ0.5.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-rsnps-0.5.0.0-r42hc72bb7e_1.tar.bz2”h+Œ b22b1baa8eb16bc5a29c110a6b4a5ad0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rsnps-0.5.0.0-r42hc72bb7e_1.tar.bz2”h0Œ@a775b78155697da1e5f3ddccc235123336875838b13fa38b140d46228013075c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.5.2”Œr-data.table”Œr-httr”Œ
r-jsonlite”Œr-plyr”Œ	r-rjsonio”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ´¿ß;hEJ¸ß hFˆubh)”}”(hŒ
watchtower”h#Œ2.0.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ%watchtower-2.0.1-pyh6c4a22f_0.tar.bz2”h+Œ 2872130b1d42add04bdcefcf19915887”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/watchtower-2.0.1-pyh6c4a22f_0.tar.bz2”h0Œ@225bac264336600e66b7ceeb54c4f5b3b25078143afbe9303c0c9311ad87662f”h2NhNh3Œboto3 >=1.9.253,<2”Œpython >=3.6”†”h9h?h@Œ
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r-magrittr”Œr-rpart.plot”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ(WHå`hEJ	Ó_ hFˆubh)”}”(hŒr-ggm”h#Œ2.3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ"r-ggm-2.3-r41hc72bb7e_1003.tar.bz2”h+Œ 52507e14a4a11b2bebdfd84c68dc151c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggm-2.3-r41hc72bb7e_1003.tar.bz2”h0Œ@adacb2cb08bc7adb5880103903fa49f67e5aa796f51df80e465e47e280dfac93”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-igraph”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑª|a&éhEJ
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GPL (>= 3)”hBŒGPL3”hDGA×KÌÔÉ‡hEJyÜ hFˆubh)”}”(hŒnc2zarr”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"nc2zarr-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ cf3775dc412168d87e79b3e58cad2793”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/nc2zarr-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@38821a1113bee29b95c46c3f29829c88bc66fd00a96abf62b06c5c826873c59b”h2NhNh3(Œclick”Œdask”Œfsspec”Œnetcdf4”Œnumpy”Œpandas”Œpython >=3.7”Œpyyaml”Œretry”Œs3fs”Œxarray”Œzarr”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ5{:{33hEM#œhFˆubh)”}”(hŒaenum”h#Œ2.2.6”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ aenum-2.2.6-pyhd3deb0d_0.tar.bz2”h+Œ 543d7385280a84c838a4313fcbe18f2a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/aenum-2.2.6-pyhd3deb0d_0.tar.bz2”h0Œ@35cc87694bc81df6af039b2867a07c0f8a4f0bd81c94384e6fdad7e3b6dd8342”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ô>œ1hEJíT hFˆubh)”}”(hŒr-bsda”h#Œ1.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-bsda-1.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 571a1d9772dc02695f243ec920760c47”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bsda-1.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@441ffba0f98e4b0d051575c8a5d31619f608b1d9596ca945bac4215a70823f3f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-e1071”Œ	r-lattice”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ¾€µOßhEJÅß hFˆubh)”}”(hŒlibxi-devel-cos6-x86_64”h#Œ1.7.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libxi-devel-cos6-x86_64-1.7.8-h9d98e8f_104.tar.bz2”h+Œ ce25c0d2c555e965461249df28850f3f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos6-x86_64-1.7.8-h9d98e8f_104.tar.bz2”h0Œ@44410aa8af68aeeb38f0efe8b8b84f0442de138ceeeca007db9222a9cd917a7c”h2NhNh3Œlibxi-cos6-x86_64 ==1.7.8 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ÊÊ-hEJUu hFˆubh)”}”(hŒr-tidyposterior”h#Œ1.0.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-tidyposterior-1.0.0-r41hc72bb7e_1.tar.bz2”h+Œ cde72f84a00ada63c2c34221b4cdbec8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-tidyposterior-1.0.0-r41hc72bb7e_1.tar.bz2”h0Œ@7b4abbdff5833c6db67d41f411470df1939431f090d87c4bc60657321e89c374”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >1.0.0”Œ
r-generics”Œ	r-ggplot2”Œr-purrr”Œr-rlang”Œr-rsample >=0.0.2”Œr-rstanarm >=2.21.1”Œr-tibble”Œr-tidyr >=0.7.1”Œr-tune >=0.1.2.9000”Œr-vctrs >=0.3.0”Œr-workflowsets”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÔT‘r-hEJU
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jsonschema”Œ
mongoquery”Œpymongo”Œpython >=3.6”Œpyyaml”Œrequests”Œsix”Œtornado >=5”Œujson”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØƒ É´9hEMÙEhFˆubh)”}”(hŒlibxrender-devel-cos6-x86_64”h#Œ0.9.10”h%Œhdf0574f_102”h'Kfhhh(h)hŒ8libxrender-devel-cos6-x86_64-0.9.10-hdf0574f_102.tar.bz2”h+Œ da4218d36a5fa4c45ba0f53e69243db3”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos6-x86_64-0.9.10-hdf0574f_102.tar.bz2”h0Œ@8e632c8f0a4c5c2762891d40379d1d467b525732fc8027948007c19d9f2971ca”h2NhNh3Œ%libxrender-cos6-x86_64 ==0.9.10 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµLê-hEMF-hFˆubh)”}”(hŒr-gmm”h#Œ1.6_2”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ%r-gmm-1.6_2-r351h6115d3f_1000.tar.bz2”h+Œ 4e0cac368f210b01395d844f8f324b7b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gmm-1.6_2-r351h6115d3f_1000.tar.bz2”h0Œ@6130a9f136b5d589a3af311bbed84b914f965c9b2d887f1737c3a8bfe7da0b5e”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ
r-sandwich”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA××¤Ÿß;hEJ hFˆubh)”}”(hŒ
r-conicfit”h#Œ1.0.4”h%Œr42ha770c72_1003”h'Mëhhh(h)hŒ)r-conicfit-1.0.4-r42ha770c72_1003.tar.bz2”h+Œ c69ae9677a0f1e81a23480816268d4a6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-conicfit-1.0.4-r42ha770c72_1003.tar.bz2”h0Œ@b5a9a63a0fe933863daa5a5ed5b91d4fe6a7c1b74bee27e2b73e6ec7a84ecc72”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-geigen”Œr-pracma”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÒËºŠ¬hEJ"¤ hFˆubh)”}”(hŒ	r-spsutil”h#Œ0.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-spsutil-0.2.2-r41hc72bb7e_0.tar.bz2”h+Œ 40f579e804da38082cb2efa7d82c8f21”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spsutil-0.2.2-r41hc72bb7e_0.tar.bz2”h0Œ@d36396d2ce2466763a43e0e486dd244a9375f56ca4438e67b6488339836073ba”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-glue”Œr-httr”Œ
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databroker”Œophyd”Œpyfai”Œpython >=3.8”Œsuitcase-mongo”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØË5=]VhEJÂ¨R hFˆubh)”}”(hŒr-neo4r”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-neo4r-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 3bc79872d6695ad54207562e12de3d24”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-neo4r-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@419601d360a2c58195157cf6f902739424ffe44aa61f667f5546622d9b708e00”h2NhNh3(Œ	r-attempt”Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-glue”Œr-httr”Œr-igraph”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-r6”Œr-rlang”Œr-rstudioapi”Œr-shiny”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ-uR.VhEJÍX hFˆubh)”}”(hŒ
r-convertr”h#Œ0.2.0”h%Œr36ha770c72_0”h'K hhh(h)hŒ&r-convertr-0.2.0-r36ha770c72_0.tar.bz2”h+Œ 0faf5e5a37187f177ccd1af9e5e85681”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-convertr-0.2.0-r36ha770c72_0.tar.bz2”h0Œ@5306e250dcb2c0cb8ee38980547f20387f1fe0907a0fcef2eff58b0eca462ee8”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-magrittr”Œr-transformer >=1.7.2”Œ
r-udunits2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡@ ÅhEJÚ® hFˆubh)”}”(hŒcweqgen”h#Œ0.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cweqgen-0.4.4-pyhd8ed1ab_0.tar.bz2”h+Œ c80307d3ed42b665bb350e053fda451f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cweqgen-0.4.4-pyhd8ed1ab_0.tar.bz2”h0Œ@cbc98bd87aa2edfb0ae05d45a2d2e5339daa922503181b84fab04abd9b66d0a7”h2NhNh3(Œastropy”Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œsympy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÌŽÏãC–hEMO_hFˆubh)”}”(hŒwebkitgtk-cos6-x86_64”h#Œ1.4.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1webkitgtk-cos6-x86_64-1.4.3-h9d98e8f_1104.tar.bz2”h+Œ 0887bbbae7c289b3d86c65710f40643a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/webkitgtk-cos6-x86_64-1.4.3-h9d98e8f_1104.tar.bz2”h0Œ@95ccc2598f4d897f901d0395d1dce91d8fdd12850d8a5bba73ed5a7b00717a65”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGA×Ézµ5ÒòhEJ]és hFˆubh)”}”(hŒ	termcolor”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$termcolor-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5df615a0b43823556a7a9f62f8647379”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/termcolor-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@956767788367bbcba21278ddb08390253d0da7dae10f936741b1b74009cffd26”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÇÈ¸ƒdZhEMÇ#hFˆubh)”}”(hŒequilibrator-pathway”h#Œ0.4.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/equilibrator-pathway-0.4.7-pyhd8ed1ab_0.tar.bz2”h+Œ 608f7b1a3f4f9857a98e596ed76f27dd”h.Œ]https://conda.anaconda.org/conda-forge/noarch/equilibrator-pathway-0.4.7-pyhd8ed1ab_0.tar.bz2”h0Œ@45d61dc96c1c0e77128c1db054fd1970aa56f8ca3b80334b350ddb5e4ae3a8be”h2NhNh3(Œcvxpy ~=1.2”Œequilibrator-api ~=0.4.7”Œnumpy ~=1.23”Œ
osqp ~=0.6”Œpint ~=0.19”Œpython >=3.8”Œsbtab ~=1.0”Œscipy ~=1.9”Œseaborn ~=0.12”Œuncertainties ~=3.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÇæ%I7LhEMÊqhFˆubh)”}”(hŒgeant4-data-photonevaporation”h#Œ5.7”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ4geant4-data-photonevaporation-5.7-hd8ed1ab_0.tar.bz2”h+Œ 8e146abcd5da0ada38da7be91ac5e064”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/geant4-data-photonevaporation-5.7-hd8ed1ab_0.tar.bz2”h0Œ@a759e079df9aed6f8267e9212725aa332364c91550074c1884450d82901bf497”h2NhNh3)h9hºh@ŒOTHER”hDGA×èS _KÇhEJ†To hFˆubh)”}”(hŒr-flowr”h#Œ0.9.11”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-flowr-0.9.11-r40hc72bb7e_1.tar.bz2”h+Œ 9366dc8f496db44bd1758e295663e3b7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flowr-0.9.11-r40hc72bb7e_1.tar.bz2”h0Œ@bb8f3f4cc9a59f102604cdc7c0d1253929a157e26b552bceaf4f57be2c1733d1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-diagram”Œr-params >=0.7”Œr-readr”Œ	r-whisker”t”h9hºh@ŒMIT”hBŒMIT”hDGAØsZê&‡+hEJ hFˆubh)”}”(hŒ
r-validata”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-validata-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 6df644aa38feffc3ed530b2ce81f83ed”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-validata-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@1fc48b414a3d18cccec2b8fc24f42f98ff0e117f0db878602059b69d5ffdc139”h2NhNh3(Œr-badger”Œr-base >=4.2,<4.3.0a0”Œr-bbmisc”Œr-data.table”Œr-dplyr”Œr-framecleaner”Œr-gtools”Œ	r-janitor”Œr-listviewer”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-rlist”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒË{°bhEJC hFˆubh)”}”(hŒlibudev-cos6-x86_64”h#Œ147”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-libudev-cos6-x86_64-147-h9b0a68f_1105.tar.bz2”h+Œ 1ca3b469c62bdd77d586ea96734148da”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libudev-cos6-x86_64-147-h9b0a68f_1105.tar.bz2”h0Œ@3278d72b93ce7d26063070001092c447e2dc465917b29378027d2ea2272d2060”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@WÝ©&éhEMƒhFˆubh)”}”(hŒ	r-rtensor”h#Œ1.4.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-rtensor-1.4.8-r41hc72bb7e_0.tar.bz2”h+Œ 29eb691ec0027e0e0c0180251cb6ec97”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rtensor-1.4.8-r41hc72bb7e_0.tar.bz2”h0Œ@7ecfe24f8a03ea3e8ba0fdeb738229271876e5dc97797fd6e40a0cc920c33827”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ*þ“(bhEJ¯° hFˆubh)”}”(hŒr-rfutilities”h#Œ2.1_5”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-rfutilities-2.1_5-r41hc72bb7e_2.tar.bz2”h+Œ b46e2718f5e09882f2f8cabb60527958”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rfutilities-2.1_5-r41hc72bb7e_2.tar.bz2”h0Œ@903f0912bb75de395e436d07b8e03826531a1491ad5e75b121398a7ea4d0b26d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-randomforest >=4.6_12”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒbÓ"ÑhEJùÊ hFˆubh)”}”(hŒtypes-uno-script”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+types-uno-script-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ a644046a12296b9b9480bc735d21ad9b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/types-uno-script-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@005ce90a5b1e2f67ba5e02383e5a434d59fbb27fcadf76fcb336c64bf6f1f9a7”h2NhNh3Œpython >=3.7”Œtyping-extensions >=3.7.4.3”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ›È2Ÿ¾hEM©3hFˆubh)”}”(hŒvounwarp”h#Œ1.2”h%Œpy_0”h'K hhh(h)hŒvounwarp-1.2-py_0.tar.bz2”h+Œ 17c44cf3223dbcfe56846ea5809f8dd5”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/vounwarp-1.2-py_0.tar.bz2”h0Œ@7de1db90499d8c4358cca9ee50e3eb861988e0d3c81f4ffdc59339a5eb8e9410”h2NhNh3(Œh5py”Œ
matplotlib”Œnumpy”Œpillow”Œpython”Œscikit-image”Œscipy”t”h9h?h@Œ
Apache 2.0”hDGA×dx®ü“hEM)AhFˆubh)”}”(hŒwheel”h#Œ0.36.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ!wheel-0.36.2-pyhd3deb0d_0.tar.bz2”h+Œ 768bfbe026426d0e76b377997d1f2b98”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/wheel-0.36.2-pyhd3deb0d_0.tar.bz2”h0Œ@cfb66749cf71fc68bcf429edbaeb4f1e1ebe69b23285fabd1d455e093667b7ed”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×õ›õøƒhEM•zhFˆubh)”}”(hŒpython-oauth2”h#Œ1.1.1”h%Œpy_0”h'K hhh(h)hŒ python-oauth2-1.1.1-py_0.tar.bz2”h+Œ bca69792c7917723b3ebad500567efc4”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/python-oauth2-1.1.1-py_0.tar.bz2”h0Œ@a50c4f2f84349f285f5f4866e046f4b7b83d3761c7adfdfe30bc3bf1c46f6061”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×E¡6vÉhEM™ hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ+r-cellranger-1.1.0-r40hc72bb7e_1003.tar.bz2”h+Œ c211511bd3ab4d578409bc0618805f16”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r40hc72bb7e_1003.tar.bz2”h0Œ@388bd53d9f8c7fd03dac3e86d21dbe25b5c43a2a1abafd7ded3f0e0bb2b6d3a5”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+gi¬ýôhEJ]± hFˆubh)”}”(hŒ	minifasta”h#Œ3.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$minifasta-3.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 95dc56ce1acdbf207c73410c16a2aa80”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/minifasta-3.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@cfe2a37b85a0091d7c0ced1b82d2d331a3fcba46ff5bcbd18bc4cd0808097d50”h2NhNh3Œpython >=3.8”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÛòK4¼jhEMôfhFˆubh)”}”(hŒlsst-dd-rtd-theme”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,lsst-dd-rtd-theme-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ e853435b7913e63819727b353b0c6a38”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/lsst-dd-rtd-theme-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@3bfab219ff33d030db76621f897b176e6486c013b7ec6b14ac608a03413afe02”h2NhNh3Œpython >=3.0”Œ
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r-jsonlite”Œ
r-lazyeval”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØa-ÒòhEJéÖ hFˆubh)”}”(hŒzdaemon”h#Œ4.3”h%Œpyhd8ed1ab_1003”h'Mëhhh(h)hŒ#zdaemon-4.3-pyhd8ed1ab_1003.tar.bz2”h+Œ 0ad8d21fc8c706d9974c33ecbe8a8441”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/zdaemon-4.3-pyhd8ed1ab_1003.tar.bz2”h0Œ@74d42ca7ed3b9a6cd4fc51d767581e17c1d00dfc6f0423e7a6a0586d8dc0d4e8”h2NhNh3Œpython >=3.6”Œ
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r-spatstat”Œr-spocc”Œr-spthin”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ1AeR^5hEJÂE hFˆubh)”}”(hŒ
aimrecords”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%aimrecords-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 3949264dbf817a9758152ee1c1b9cb39”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/aimrecords-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@7deeafe0448a4dba99a20b86eb9f2e5292bdb21e499a46dbcb413699c01aa272”h2NhNh3Œbase58 2.0.1”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ9*§ÿl‹hEM&HhFˆubh)”}”(hŒr-tfplot”h#Œ2021.6_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-tfplot-2021.6_1-r41hc72bb7e_1.tar.bz2”h+Œ 5313bc3b5525f17f059a00b86af87b66”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tfplot-2021.6_1-r41hc72bb7e_1.tar.bz2”h0Œ@a4574d7b354c6a1cfe45928061fc309e900aabcd0b8338eb585db03e4e8ea348”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-tframe”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑEébÀƒhEJòJ hFˆubh)”}”(hŒ	datashape”h#Œ0.5.4”h%Œpy_1”h'Khhh(h)hŒdatashape-0.5.4-py_1.tar.bz2”h+Œ 50ddfce434ea596fc4497085f403a9d5”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/datashape-0.5.4-py_1.tar.bz2”h0Œ@a9e7312763eb6d9a20d8f12175780e33402d86009d9640b69eee8b4a1e4185fe”h2NhNh3(Œmultipledispatch >=0.4.7”Œnumpy >=1.7”Œpython”Œpython-dateutil”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×oqòÐåhEMåÃhFˆubh)”}”(hŒr-batch”h#Œ1.1_5”h%Œr36h6115d3f_2”h'Khhh(h)hŒ#r-batch-1.1_5-r36h6115d3f_2.tar.bz2”h+Œ 424a4d101978c079136cd71d8eafdf1d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-batch-1.1_5-r36h6115d3f_2.tar.bz2”h0Œ@490c11631f3e6506651aa8ee33f3a96392684f7c29d423b2b7d6131597d7d816”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×­	Õ¾whEMÜæhFˆubh)”}”(hŒspvcm”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒspvcm-0.3.0-py_0.tar.bz2”h+Œ 20e332fba68532ada22d889209dd434f”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/spvcm-0.3.0-py_0.tar.bz2”h0Œ@095bd8f16b4e78bb678cd5cb3330bd470e9fe2e8b63ab2fbeb7b3195c977b70c”h2NhNh3(Œlibpysal”Œnumpy”Œpandas”Œpython >=3.5”Œscipy”Œseaborn”Œspreg”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×;Þ¸bhEJtîO hFˆubh)”}”(hŒr-cdft”h#Œ1.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ r-cdft-1.2-r40hc72bb7e_0.tar.bz2”h+Œ 35e36fd9f7b92b5a5c3230a2082d9f93”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cdft-1.2-r40hc72bb7e_0.tar.bz2”h0Œ@540a49dbf4264a08c6d7c41b5dbdb123480a4b57e48f742fd21d831ed4028f63”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
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r-redlistr”h#Œ1.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-redlistr-1.0.3-r42hc72bb7e_1.tar.bz2”h+Œ 823e9b19d393edfbdddf48ae07988673”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-redlistr-1.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@f943f66e6f1fd905c72ef1bc5bb975592936c9c5bce1304c0e12a64a8bb2374d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-plyr”Œr-raster >=2.5_8”Œr-rgeos”Œr-sp >=1.2_4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ'R9©ühEJá‹ hFˆubh)”}”(hŒlibuuid-cos6-x86_64”h#Œ2.17.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libuuid-cos6-x86_64-2.17.2-h9d98e8f_1104.tar.bz2”h+Œ fe1538ef4c35cffe52746c7d473d3470”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos6-x86_64-2.17.2-h9d98e8f_1104.tar.bz2”h0Œ@33d4ff5d7a398ee00ced750a94be032a81f06f1f7c159b9d785bc0edd5219dd9”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉyÅÛohEMF4hFˆubh)”}”(hŒr-reader”h#Œ1.0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-reader-1.0.6-r41hc72bb7e_1.tar.bz2”h+Œ 6213a739b1838d863eb3992f45bf99fa”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reader-1.0.6-r41hc72bb7e_1.tar.bz2”h0Œ@c950209308568e89eaef6f9867d7178ce6c75206b52645f2b229bcdab76310a8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ncmisc >=1.1”†”h9hºh@Œ
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r-pheatmap”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+%öE¢hEJQü hFˆubh)”}”(hŒr-diffusionmap”h#Œ1.2.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ*r-diffusionmap-1.2.0-r35h6115d3f_0.tar.bz2”h+Œ d422a18eb45ce549208f2210b81715ef”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-diffusionmap-1.2.0-r35h6115d3f_0.tar.bz2”h0Œ@14329cd930dcb0d7cf71fab46f6fd0756c3be9d197a7fa435a771613274f6684”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-igraph”Œr-matrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×^'àQìhEJ_} hFˆubh)”}”(hŒr-operator.tools”h#Œ1.6.3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ/r-operator.tools-1.6.3-r42hc72bb7e_1004.tar.bz2”h+Œ 3d906cc548492c673a08a0ddf5e61f1a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-operator.tools-1.6.3-r42hc72bb7e_1004.tar.bz2”h0Œ@dc668b4ae63314efb448ae6ef811febcd3d33a267643fc6710685628382f9ddb”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ·¦äýôhEJ€ hFˆubh)”}”(hŒr-gsubfn”h#Œ0.7”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ%r-gsubfn-0.7-r40hc72bb7e_1002.tar.bz2”h+Œ c63389490d9b9f49a6260b84a76e8cc2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gsubfn-0.7-r40hc72bb7e_1002.tar.bz2”h0Œ@8960884e2afaed031170d8c2bd892ba0ed7be5804fcb7f8f7accdc8abc10b5a1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-proto”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*õýdí‘hEJ:µ hFˆubh)”}”(hŒipyx”h#Œ0.1.8”h%Œpyh76afe40_0”h'K hhh(h)hŒipyx-0.1.8-pyh76afe40_0.tar.bz2”h+Œ 4fa512f476474ad5ae50d55c78869ab7”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ipyx-0.1.8-pyh76afe40_0.tar.bz2”h0Œ@1812c5522c79d2162df8ad5b6c0025d08441f41db2304eda3c92c34aef33b966”h2NhNh3Œipycytoscape”Œipywidgets >=7.0.0”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØr#™©ühEMŠhFˆubh)”}”(hŒr-pubmedwordcloud”h#Œ0.3.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ-r-pubmedwordcloud-0.3.6-r41hc72bb7e_1.tar.bz2”h+Œ d505860b45bce63b373244e587081f90”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pubmedwordcloud-0.3.6-r41hc72bb7e_1.tar.bz2”h0Œ@03b6bfd5ca7de63f9281bd67d1930ac1cf6a2aa2b8deecbd327df5563aa16c24”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-rcolorbrewer”Œr-rcurl”Œ	r-stringr”Œr-tm”Œr-wordcloud”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+XÏå`BhEM±ÁhFˆubh)”}”(hŒpylook”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pylook-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 830e1299b700e29e0cd6fcf8284a94ad”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pylook-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6da56d095bc3e1e8f2dc57befff550d9b75b2179d7a154ac993f528aa5203a2e”h2NhNh3(Œmatplotlib-base >=2.1.0”Œnumpy >=1.16”Œpandas >=0.22.0”Œpint >=0.10.1”Œpooch >=0.1”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×øóÌ±ë…hEMOhFˆubh)”}”(hŒxrf-tomo”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#xrf-tomo-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8c37d1b2c3045831f47366482729ba2b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/xrf-tomo-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e986ce392d3d98c11e61a5872582c5df25a4f70f26b7b354204b721e0317d9cf”h2NhNh3(Œh5py”Œnumpy”Œpandas”Œ
pystackreg”Œpython >=3.7”Œpyxrf >=1.0.16”Œscipy”Œtomopy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¤8P´(öhEM)WhFˆubh)”}”(hŒukpostcodeparser”h#Œ1.1.2”h%Œpy_0”h'K hhh(h)hŒ#ukpostcodeparser-1.1.2-py_0.tar.bz2”h+Œ f02cfbe76918a7aaf1413a161f1c971b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ukpostcodeparser-1.1.2-py_0.tar.bz2”h0Œ@cd1a76a5103a63f87e7731b10c6f06bca12bef8fd3d017fff07d2426de69a976”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hEM¨!hFˆubh)”}”(hŒsktime”h#Œ0.10.0”h%Œpyh27d4807_0”h'K hhh(h)hŒ"sktime-0.10.0-pyh27d4807_0.tar.bz2”h+Œ d31eb92d0f01d1d85e5a7649abc8e2ad”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sktime-0.10.0-pyh27d4807_0.tar.bz2”h0Œ@8fa05d838fbb0bb7ae664315adc0af2cc5242a4e2113abde9ab1c3e8a87cc6c3”h2NhNh3(Œdeprecated >=1.2.13”Œnumba >=0.50,<0.55”Œnumpy >=1.21.5,<2.0a0”Œpandas >=1.1.0,<1.5”Œpython”Œscikit-learn >=0.24.0”Œstatsmodels >=0.12.1”t”h6(Œstumpy >=1.5.1”Œprophet >=1.0”Œmatplotlib-base >=3.3.2”Œpmdarima >=1.8.0,!=1.8.1”Œhcrystalball >=0.1.9”Œtsfresh >=0.17.0”Œscikit-posthocs >=0.6.5”Œseaborn >=0.11.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…õ`˜£×hEJnJT hFˆubh)”}”(hŒr-glm2”h#Œ1.2.1”h%Œr36_1002”h'Mêhhh(h)hŒr-glm2-1.2.1-r36_1002.tar.bz2”h+Œ 583e8763d3701d75d433ab84ba3de72b”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-glm2-1.2.1-r36_1002.tar.bz2”h0Œ@168e8fdf1f1bb5bb0f11ddd397b672b750ed2c7e204a116569b333ca9f975535”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
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r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-r6”Œr-rlang”Œr-rstudioapi”Œr-shiny”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒFŠ`ÔþhEJ_ hFˆubh)”}”(hŒr-knitcitations”h#Œ1.0.12”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ,r-knitcitations-1.0.12-r36hc72bb7e_0.tar.bz2”h+Œ d611c6ad659118a2f39b62c914ea719b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitcitations-1.0.12-r36hc72bb7e_0.tar.bz2”h0Œ@71a2a43342e4f6a5447e52601869da7517bd35d73db4b2edc553acdfdfe9253a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-digest”Œr-httr >=0.3”Œr-refmanager >=0.8.2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×þÌñoÎÙhEJ€  hFˆubh)”}”(hŒr-codemetar”h#Œ0.3.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-codemetar-0.3.5-r42hc72bb7e_1.tar.bz2”h+Œ 63cbe0e88caa07f50abc76241405b1b5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-codemetar-0.3.5-r42hc72bb7e_1.tar.bz2”h0Œ@9c1c11b973abaa8085c92fe0557dd8ee22f1941c525c33f93c9f1b15a9d58d0b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œ
r-codemeta”Œr-commonmark”Œr-crul”Œr-desc”Œr-gert”Œr-gh”Œr-jsonlite >=1.6”Œ
r-magrittr”Œ	r-memoise”Œr-pingr”Œr-purrr”Œ	r-remotes”Œr-sessioninfo”Œ
r-urltools”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ”7\)hEJL÷ hFˆubh)”}”(hŒr-hash”h#Œ3.0.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ"r-hash-3.0.1-r35h6115d3f_1.tar.bz2”h+Œ 31c94613572f27cde1824b9922f2f4ee”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hash-3.0.1-r35h6115d3f_1.tar.bz2”h0Œ@6ae90cf6d641e1d16bc084dc35ba5a13ed0f3df4a93024a09fbf0ba9ad773b32”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LyG¦—hEJK¢ hFˆubh)”}”(hŒr-palmerpenguins”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-palmerpenguins-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 71195baa38cf8c195832abd559a94db1”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-palmerpenguins-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@dc1c2ad50ddf8a91f5d397cd2b00d91353596ae2aa091e5e7678998d2ad75275”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØ¾•b~úhEJ. hFˆubh)”}”(hŒr-verification”h#Œ1.42”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ,r-verification-1.42-r36h6115d3f_1002.tar.bz2”h+Œ 52b72aa6316abc7a90c75d509c1eff1a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-verification-1.42-r36h6115d3f_1002.tar.bz2”h0Œ@a9dd69cea5380c4ae28f7c8187ee6db0e8cb660452d642e9072b4c0131651dc9”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-boot”Œr-circstats”Œr-dtw”Œr-fields”Œr-mass”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬I[r°hEJ® hFˆubh)”}”(hŒ	r-geojson”h#Œ0.3.4”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-geojson-0.3.4-r36h6115d3f_0.tar.bz2”h+Œ ddbc96b9e88507cde581f94305d2b9aa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-geojson-0.3.4-r36h6115d3f_0.tar.bz2”h0Œ@297121482bf4728c76ff0faeb68791e60d8919da4bd8c93cc23e4b5e274544bb”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-jqr >=1.1.0”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-protolite >=1.8”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¼™3ÀƒhEJ¼ hFˆubh)”}”(hŒrpaframework-core”h#Œ6.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,rpaframework-core-6.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ be665a35b85b1a65a55c5ad3b665e2da”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/rpaframework-core-6.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@05adb8a5ce3039799855e6b18c641d2e077fe3559c71a71a8ae67e36d8112ac5”h2NhNh3Œpython >=3.6,<4.0”Œselenium >=3.141.0,<4.0.0”Œ!webdrivermanager >=0.10.0,<0.11.0”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ…2šÐåhEM“{hFˆubh)”}”(hŒviridis”h#Œ0.4.2”h%Œpy_1001”h'Méhhh(h)hŒviridis-0.4.2-py_1001.tar.bz2”h+Œ 34a6df66fa97745ddb2a4938c34fc861”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/viridis-0.4.2-py_1001.tar.bz2”h0Œ@8598f69ec0ba911c7e6e3b1794f49f915ba9b0110b754b3b193c1e1139215b6e”h2NhNh3Œnetworkx <2.0”Œnumpy”Œpython >=3.5”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖðÐ@†ùÛhEM#hFˆubh)”}”(hŒ	r-preseqr”h#Œ4.0.0”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ(r-preseqr-4.0.0-r36h6115d3f_1001.tar.bz2”h+Œ d00a1d0476b90a5aad5e98e3ab305bd9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-preseqr-4.0.0-r36h6115d3f_1001.tar.bz2”h0Œ@5b4642c787f33cd7a1625170f7ab142e6c48b4d578e003ea55f193d6ee3b2db5”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-polynom”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÀ+w®hEJÌ hFˆubh)”}”(hŒr-ggmice”h#Œ0.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-ggmice-0.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 44b34ebacbf061b3124901dc216df99d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggmice-0.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@ae3f27758fb539d61beb1c4431766358582a8c39e79671d68174a590567cb48b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-mice”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÓ"A«SøhEJö hFˆubh)”}”(hŒdtool_gui_tk”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dtool_gui_tk-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ a5c2eb90be13c68c58e6cba56374ed81”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dtool_gui_tk-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@166324ed255389b5370acd54ce05bca6ac25c56c4240d51de657a1d35e312191”h2NhNh3(Œ
dtool_info”Œdtoolcore >=3.18.0”Œ
jsonschema”Œpython >=3.6”Œruamel.yaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAØMˆ¤qG®hEMÚThFˆubh)”}”(hŒoauthenticator”h#Œ15.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*oauthenticator-15.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4cc0bb6398b9b8ed551ecbbe5d04667a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/oauthenticator-15.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@452acfab9b3688b001d41c8132317ed826a57041a91d49d6485afc549b3ebcc4”h2NhNh3(Œ
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setuptools”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¬ÎŒÖ¸RhEJ‹x hFˆubh)”}”(hŒr-bb”h#Œ	2019.10_1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-bb-2019.10_1-r41hc72bb7e_2.tar.bz2”h+Œ 307200267761398982ba5b612329dd85”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bb-2019.10_1-r41hc72bb7e_2.tar.bz2”h0Œ@a55495f7955c22f4e74d83ca9b25ad5e8d0253723f84d1580dad5cd3eac2752b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ¾ñ+dZhEJ	í
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r-rcpptoml”Œr-readr >=1.4.0”Œ	r-whisker”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØX`G\)hEJ¤Y hFˆubh)”}”(hŒ
r-synthpop”h#Œ1.8_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-synthpop-1.8_0-r40hc72bb7e_0.tar.bz2”h+Œ 5d27ff28e37f7fbb1af9057ccc73915c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-synthpop-1.8_0-r40hc72bb7e_0.tar.bz2”h0Œ@2fb9ba8826782c4b1e358613dfccfcd8303de837469fc70219ad4daa1c32f56d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-broman”Œ
r-classint”Œ	r-foreign”Œ	r-ggplot2”Œ	r-lattice”Œr-mass”Œr-mipfp”Œr-nnet”Œr-party”Œr-plyr”Œr-polspline”Œr-proto”Œr-randomforest”Œr-ranger”Œr-rmutil”Œr-rpart”Œ	r-stringr”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÃö£ZÀƒhEJ‚d hFˆubh)”}”(hŒkim_property”h#Œ1.0.1”h%Œpy_0”h'K hhh(h)hŒkim_property-1.0.1-py_0.tar.bz2”h+Œ 735a2a5d96934577181639de9c070c0d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/kim_property-1.0.1-py_0.tar.bz2”h0Œ@66067fe5ef9f796863c0222d03b8e2238cc7bb2cf528f8e04a979c8f914dce34”h2NhNh3Œkim_edn”Œpython >=3.6”†”h9h?h@ŒCDDL-1.0”hBŒOTHER”hDGA×’v*L(öhEJž hFˆubh)”}”(hŒlibxrandr-devel-cos6-x86_64”h#Œ1.5.1”h%Œh9b0a68f_1105”h'MQ•      hhh(h)hŒ7libxrandr-devel-cos6-x86_64-1.5.1-h9b0a68f_1105.tar.bz2”h+Œ 9a44b82a836312567e28221b6c9efd1f”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos6-x86_64-1.5.1-h9b0a68f_1105.tar.bz2”h0Œ@c50d5cb8f986920072f5c6a84929e10261beb352fdb96692cd2b3d7bdf1a392c”h2NhNh3Œ$libxrandr-cos6-x86_64 ==1.5.1 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^€ö‡+hEM¯=hFˆubh)”}”(hŒsleek-lvalert”h#Œ2.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ(sleek-lvalert-2.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ a226d74ceadafcae02160a8d3abf4db5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/sleek-lvalert-2.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@74557ec58a270998e6cda59fa3211d018b77c051b26d2e5221e188185b649e63”h2NhNh3(Œpython”Œ
safe-netrc”Œ
setuptools”Œslixmpp”t”h6Œligo-lvalert >=9999”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×ÓèmÔzáhEM¼jhFˆubh)”}”(hŒlibxext-cos7-aarch64”h#Œ1.3.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0libxext-cos7-aarch64-1.3.3-hdf0574f_1102.tar.bz2”h+Œ 946205ce4f2ff0ebe2d832ce52d90785”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-aarch64-1.3.3-hdf0574f_1102.tar.bz2”h0Œ@d748e9d32abab6b030fe2ebb1b84476fa8b0fd2d9d83d0718bd3bf2d2b699323”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å, ó¥ãhEMæ”hFˆubh)”}”(hŒr-slim”h#Œ0.1.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ%r-slim-0.1.1-r41hc72bb7e_1003.tar.bz2”h+Œ 9b357b88618a3babf414646f6b27929a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-slim-0.1.1-r41hc72bb7e_1003.tar.bz2”h0Œ@6f1bf6256e0c2e7a182c7f4ad70cd0a54008c8bfa503e07607d6bf28d2c1a986”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.9.6”Œr-mass >=7.3”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒÿJáHhEJ­X hFˆubh)”}”(hŒpyroute2.nftables”h#Œ0.6.13”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-pyroute2.nftables-0.6.13-pyhd8ed1ab_1.tar.bz2”h+Œ 697004ebe1e0fd68a2749f0a7c3de1a5”h.Œ[https://conda.anaconda.org/conda-forge/noarch/pyroute2.nftables-0.6.13-pyhd8ed1ab_1.tar.bz2”h0Œ@f21e6288d06a0295d9a8b7d9b4c340780b4ac29d1f57e8da85ee93ef5ba912eb”h2NhNh3Œpyroute2.core”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ×àd¯l‹hEMªjhFˆubh)”}”(hŒr-animation”h#Œ2.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-animation-2.7-r42hc72bb7e_1.tar.bz2”h+Œ 7b43b7f83aba8841778ebaa8a6d6d2c3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-animation-2.7-r42hc72bb7e_1.tar.bz2”h0Œ@db24d53d18a77d99b7ea78ffb37b249d7a4e51f704922c74677c14257280e50d”h2NhNh3(Œffmpeg”Œimagemagick”Œr-base >=4.2,<4.3.0a0”Œr-magick”t”h9hºh@ŒGPL”hBŒGPL”hDGAØÑÄä2MÓhEJÎ« hFˆubh)”}”(hŒlibx11-common-cos7-x86_64”h#Œ1.6.7”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libx11-common-cos7-x86_64-1.6.7-h9b0a68f_1105.tar.bz2”h+Œ 7cc1ca53f93080a304ad1c0250c51787”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-x86_64-1.6.7-h9b0a68f_1105.tar.bz2”h0Œ@311138e29116db1fb1d9ccd105b248c653c81d95bfeb54dacb1818e25a781f75”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@g¸~È´hEJ…( hFˆubh)”}”(hŒpixman-cos7-aarch64”h#Œ0.34.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/pixman-cos7-aarch64-0.34.0-hdf0574f_102.tar.bz2”h+Œ 3909f28dfd27a14c6b9d4659cbe7157f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pixman-cos7-aarch64-0.34.0-hdf0574f_102.tar.bz2”h0Œ@f13855e1d4e1ac0a7636eeb44d901a572a2a3c71445cbdd1aeadae0a05e9e27d”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;…Õ?}hEJ?¯ hFˆubh)”}”(hŒstarkbank-ecdsa”h#Œ2.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*starkbank-ecdsa-2.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ d0d4902a9404feaaac8a562a01b232b5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/starkbank-ecdsa-2.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e2fffcc18b7e0ee7b0edc3bb34a179aca4e53f2a6368e6fb1a5b0e5bf118d341”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØb³ hEMö=hFˆubh)”}”(hŒlibxdamage-cos7-ppc64le”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libxdamage-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h+Œ 9928561196b24466266098d403d9728f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@3cc4dc9963bd39accd75de1575bbcd690398bc16a1d6d4b296f9f9b24f48fe6d”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy7È ÅhEMBDhFˆubh)”}”(hŒkernel-headers_linux-64”h#Œ2.6.32”h%Œhe073ed8_15”h'Khhh(h)hŒ2kernel-headers_linux-64-2.6.32-he073ed8_15.tar.bz2”h+Œ 5dd5127afd710f91f6a75821bac0a4f0”h.Œ`https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-2.6.32-he073ed8_15.tar.bz2”h0Œ@c9f33acc0f1095bd4e7a2b577dfa41fc3fef3713b3975e8467a0fbed188fe6f4”h2NhNh3)h6Œsysroot_linux-64 ==2.12”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ_ß&éhEJ¡ hFˆubh)”}”(hŒrb-i18n”h#Œ0.9.5”h%Œ
hd4c1694_1”h'Khhh(h)hŒ rb-i18n-0.9.5-hd4c1694_1.tar.bz2”h+Œ b4016584b87a83c8b2890f590396b0f4”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-i18n-0.9.5-hd4c1694_1.tar.bz2”h0Œ@c900858d3cbaa073013a0828a5370f380ec897c0760d7f085eb233db873398e2”h2NhNh3Œrb-concurrent-ruby >=1.0,<2”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[*™AhshEJôÙ hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r36h6115d3f_2.tar.bz2”h+Œ 7ddebfa7a35d669713068905650dc192”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r36h6115d3f_2.tar.bz2”h0Œ@d20717ec29d45736cade9f39f0a23f89a9462895936a374fa4f0a573043400b6”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«ÅX1'hEJrö hFˆubh)”}”(hŒr-als”h#Œ0.0.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-als-0.0.7-r40hc72bb7e_0.tar.bz2”h+Œ 1b387c016e71d34d5b14ffd75c949fd2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-als-0.0.7-r40hc72bb7e_0.tar.bz2”h0Œ@97f289b1bb2f69688e41aa407afb6c3a7d80ba5ef07b8f97bb6f5b5b97c21499”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-iso”Œr-nnls >=1.1”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÁæ–hå`hEJîò hFˆubh)”}”(hŒ
webruntime”h#Œ0.5.8”h%Œpy_0”h'K hhh(h)hŒwebruntime-0.5.8-py_0.tar.bz2”h+Œ 0a9ddf241748a1a5d8e28bc34bf3f25b”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/webruntime-0.5.8-py_0.tar.bz2”h0Œ@3d4fd05ad233e327f238c0933f4730fe7fdc7f342284b0fc7b484caa153e45d1”h2NhNh3Œdialite”Œ
python >=3”†”h9h?h@ŒBSD 2-Clause”hDGA×Õ‘ÔâÐåhEMô®hFˆubh)”}”(hŒbioformats_jar”h#Œ	2020.5.27”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-bioformats_jar-2020.5.27-pyhd8ed1ab_0.tar.bz2”h+Œ 015e137ceb1aa4275f87eb4cac121c02”h.Œ[https://conda.anaconda.org/conda-forge/noarch/bioformats_jar-2020.5.27-pyhd8ed1ab_0.tar.bz2”h0Œ@609dd6c24478658f8c33ab5f728d82dfdbfc15ee02dd3849b64f377c4254c359”h2NhNh3Œpython >=3.7”Œscyjava”†”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ¤›<“hEM;hFˆubh)”}”(hŒsisppeo”h#Œ1.1.1”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ"sisppeo-1.1.1-pyhd8ed1ab_2.tar.bz2”h+Œ 1987d96eff61d0f573eb12b9f86f3941”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sisppeo-1.1.1-pyhd8ed1ab_2.tar.bz2”h0Œ@9e775270ffbf40d620f16baf12208678dea03dbce9a3f03610ca608bae043399”h2NhNh3(Œaffine”Œclick”Œcolorcet”Œ
datashader”Œfiona”Œlxml”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpandas”Œpillow”Œplotly”Œpsutil”Œpvlib-python”Œpyproj”Œpython >=3.8”Œpyyaml”Œrasterio”Œray-core”Œs2cloudless”Œscikit-image”Œscikit-learn”Œscipy”Œshapely”Œtqdm”Œxarray”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ»S¾éyhEJ‚ hFˆubh)”}”(hŒ	r-ggfocus”h#Œ1.0.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-ggfocus-1.0.0-r35h6115d3f_0.tar.bz2”h+Œ 89ab71b27a5dda52ba886016d662a8c3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggfocus-1.0.0-r35h6115d3f_0.tar.bz2”h0Œ@6282a32730452606b430a74599bcf23de0ae733a8c010edea94ba467c1784073”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-rcolorbrewer”Œr-rlang”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Šp;ohEJ|÷
 hFˆubh)”}”(hŒ
r-multiroc”h#Œ1.1.1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ)r-multiroc-1.1.1-r40hc72bb7e_1002.tar.bz2”h+Œ cc8aa18a8e1b9aa04dc5678de43d8c8e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r40hc72bb7e_1002.tar.bz2”h0Œ@7c0013760fa0bf612eb2366bccf61a0b383735b2f5072983fde3b9ae06980996”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œ
r-magrittr”Œr-zoo”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+e[çmhEJÅ$ hFˆubh)”}”(hŒlibxau-devel-cos6-x86_64”h#Œ1.0.6”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libxau-devel-cos6-x86_64-1.0.6-ha826a6f_1103.tar.bz2”h+Œ 4d425eab4a806f3b55d5ba1172029b91”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos6-x86_64-1.0.6-ha826a6f_1103.tar.bz2”h0Œ@321e1f0343a589a91996e492671d44d03825ce6a760406012606685f5aa4a604”h2NhNh3Œ!libxau-cos6-x86_64 ==1.0.6 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1PuVhEMm&hFˆubh)”}”(hŒr-dotwhisker”h#Œ0.7.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-dotwhisker-0.7.4-r42hc72bb7e_1.tar.bz2”h+Œ 7ff72dfafb0df19276d449eb726beb98”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dotwhisker-0.7.4-r42hc72bb7e_1.tar.bz2”h0Œ@0279279b5e6f627edbe8167aa81d3e31fa46781f40e8e39120832c6d4423a8fa”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broomextra”Œr-dplyr”Œr-ggplot2 >=2.2.1”Œ
r-ggstance”Œr-gtable”Œ	r-margins”Œr-purrr”Œr-rlang”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ…î•ÒòhEJC hFˆubh)”}”(hŒrb-public_suffix”h#Œ3.1.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ)rb-public_suffix-3.1.1-hc42de5b_0.tar.bz2”h+Œ 95e36cbd497b508b675bcc8952aeb9ca”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/rb-public_suffix-3.1.1-hc42de5b_0.tar.bz2”h0Œ@f94a21450935b4826dc16e7e9765008564496d50a8539d68816edd0de81a3451”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×YÃS9º^hEJiK hFˆubh)”}”(hŒchkconfig-cos6-x86_64”h#Œ1.3.49.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4chkconfig-cos6-x86_64-1.3.49.5-h9d98e8f_1104.tar.bz2”h+Œ 24a8b3b37d9a3ae53fc5553ec345a39a”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/chkconfig-cos6-x86_64-1.3.49.5-h9d98e8f_1104.tar.bz2”h0Œ@55749f2526f918877743503d44132a1816a8cb34c6c845cfa6b8974ff3bf917b”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ÉyCMhEJ'F hFˆubh)”}”(hŒgeocoder”h#Œ1.38.1”h%Œpy_1”h'Khhh(h)hŒgeocoder-1.38.1-py_1.tar.bz2”h+Œ 85f4e01bee20c149b2c060eb9a7c7751”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/geocoder-1.38.1-py_1.tar.bz2”h0Œ@004c48761f12ee24553d98558527b2da7fc65799a8a09c2015c880d0a9370c94”h2NhNh3(Œclick”Œfuture”Œpython”Œratelim”Œrequests”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×E<Z±hshEM{ÔhFˆubh)”}”(hŒ	elevation”h#Œ1.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$elevation-1.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 5306d34d52ed042d23dccdb39059c573”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/elevation-1.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@26affcde7677a20b01aeb6ee107ac7e3d4a1593f0e3eae388b8f1e098a05ae27”h2NhNh3(Œappdirs”Œ
click <7.0”Œ	fasteners”Œfuture”Œ
python >=3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ·ýC¥ãhEMIhFˆubh)”}”(hŒ	r-spatest”h#Œ3.1.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-spatest-3.1.2-r36h6115d3f_0.tar.bz2”h+Œ 4eb20caf7a91b8c78ac70d34f5fe3cd3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spatest-3.1.2-r36h6115d3f_0.tar.bz2”h0Œ@d150a63acbf19c06d9c04a8c14bbce6f2bd0ca2c52826877c5d5153d35be2f95”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Ô™ŽyhshEJ3 hFˆubh)”}”(hŒr-survivalanalysis”h#Œ0.3.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ.r-survivalanalysis-0.3.0-r41hc72bb7e_1.tar.bz2”h+Œ f31dc01050fa8360f6d746cdb563a5a5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-survivalanalysis-0.3.0-r41hc72bb7e_1.tar.bz2”h0Œ@a30bf90c90ae39b4fd0a44795606bb2df8f2c3b4849e77fa970d9d101059d976”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-dplyr”Œ	r-forcats”Œr-ggplot2 >=2.2.1”Œr-gridextra”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-scales”Œ	r-stringr”Œ
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setuptools”Œstdlib-list >=0.5.0”Œtyping-extensions >=3.7.4.3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØaâ°S•hEMì4hFˆubh)”}”(hŒpandas-datareader”h#Œ0.10.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ-pandas-datareader-0.10.0-pyh6c4a22f_0.tar.bz2”h+Œ 1d3e50c28e6ff44f58ab16295bc9f7af”h.Œ[https://conda.anaconda.org/conda-forge/noarch/pandas-datareader-0.10.0-pyh6c4a22f_0.tar.bz2”h0Œ@02221d745ef4f7c57d03c4b803e5d46800ac7bcdcfe91f37f2c11ae000a7cae3”h2NhNh3(Œlxml”Œpandas >=1.0”Œpython >=3.6”Œrequests >=2.3.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ;ª÷¹&éhEJø hFˆubh)”}”(hŒsysroot_linux-aarch64”h#Œ2.17”h%Œh4744778_10”h'K
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jsonschema”Œnumpy”Œpathlib2”Œpint”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×PÅR~úhEJ©x‰hFˆubh)”}”(hŒr-trust”h#Œ0.1_8”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-trust-0.1_8-r36h6115d3f_0.tar.bz2”h+Œ 17a4d97c19e073c001fbc6521ee098f3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-trust-0.1_8-r36h6115d3f_0.tar.bz2”h0Œ@be7b69d6133428216e71cacdb31ba99f7a3a088d77ccd51e66e271de63f85814”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×†|´Ý/hEJj hFˆubh)”}”(hŒr-runit”h#Œ0.4.32”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ'r-runit-0.4.32-r35h6115d3f_1001.tar.bz2”h+Œ ccbff45983beb707cf57534ee970daee”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-runit-0.4.32-r35h6115d3f_1001.tar.bz2”h0Œ@97e39c9797b13d2fd940a8c994733cfd30ee32c510ae07a9c48fd1cfb489db16”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LªÉï+hEJG hFˆubh)”}”(hŒcopy-jdk-configs-cos7-aarch64”h#Œ3.3”h%Œha826a6f_103”h'Kghhh(h)hŒ6copy-jdk-configs-cos7-aarch64-3.3-ha826a6f_103.tar.bz2”h+Œ f0b2fe410f50e7e9f5b1d73dab04665e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-aarch64-3.3-ha826a6f_103.tar.bz2”h0Œ@55279d4d54d64c86db91cff4119c351e97411155266a416b78438a60228db809”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/Â»÷ÏhEM¯%hFˆubh)”}”(hŒ	termcolor”h#Œ2.0.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$termcolor-2.0.1-pyhd8ed1ab_1.tar.bz2”h+Œ 03b5e3d494a02d34ea442173f9450ae7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/termcolor-2.0.1-pyhd8ed1ab_1.tar.bz2”h0Œ@d7d5eea54e749cbdb0817fa65cc7ac30a8dc47964b693274a23fd5b24fec1ae2”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÇÉ1ffhEM›#hFˆubh)”}”(hŒr-operator.tools”h#Œ1.6.3”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ0r-operator.tools-1.6.3-r351h6115d3f_1001.tar.bz2”h+Œ 4eba2f3c57d9d6d1181a219c4c54b08b”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-operator.tools-1.6.3-r351h6115d3f_1001.tar.bz2”h0Œ@4a87310d32726e2d0547b7f12803996c5dcf7d14515b716667b7d4044c210c45”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖü›ùÛ#hEM#ûhFˆubh)”}”(hŒmpl-point-clicker”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,mpl-point-clicker-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ bb4233b3b3e5481040bdff1b87f70f41”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/mpl-point-clicker-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@433f860ece56e0571e7ee2daa50b12c7a8a2df74ca9ac0c4a56e8d30c197aa3b”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ–{§+hEMx%hFˆubh)”}”(hŒecdsa”h#Œ0.18.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!ecdsa-0.18.0-pyhd8ed1ab_0.tar.bz2”h+Œ a46722219fa60b65222d1d1586cb8d0f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ecdsa-0.18.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f011124490c46b31800d24fdeee33a570b0ffa46a5c1eb78c5a99a8bf9bc4bc3”h2NhNh3Œpython >=3.3”Œsix >=1.9.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ²ôÝ¸hEJÝ hFˆubh)”}”(hŒr-squash”h#Œ1.0.9”h%Œr42ha770c72_2”h'Khhh(h)hŒ$r-squash-1.0.9-r42ha770c72_2.tar.bz2”h+Œ a0a200538314d61ce96963083d7e4cc7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-squash-1.0.9-r42ha770c72_2.tar.bz2”h0Œ@919dd6b9c1e803fcdd95c8f679b9f214bf39c5918c0f3d9aac494a96f7e01bbe”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÒÜí‘hEJs hFˆubh)”}”(hŒgeehydro”h#Œ0.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#geehydro-0.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ 5dd396c7c2b2f4ada43e8ffaffaa6897”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geehydro-0.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@b4f3ec6afcbf88c309e3e53d2bf7017bb2e3da0bf4d256e9871b7739543f9401”h2NhNh3(Œclick”Œearthengine-api”Œfolium”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×à¢²-hEM2hFˆubh)”}”(hŒ	yaqc-qtpy”h#Œ2022.6.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'yaqc-qtpy-2022.6.0-pyhd8ed1ab_1.tar.bz2”h+Œ f3d0f3890a9862df8413d14710d868a0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/yaqc-qtpy-2022.6.0-pyhd8ed1ab_1.tar.bz2”h0Œ@e7857a47858d057abf5e76eeb60fe8a6d4c73f47e2e51669449a51f6ce1c03e4”h2NhNh3(Œappdirs”Œclick”Œentrypoints”Œnumpy”Œ	pyqtgraph”Œpyside2”Œpython >=3.7”Œ	qtconsole”Œqtpy”Œqtypes >=2022.6.0”Œ
yaq-traits”Œyaqc”Œyaqd-control”Œ	yaqd-core”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÄGñÐå`hEJG|Ì hFˆubh)”}”(hŒlibxcb-cos7-aarch64”h#Œ1.13”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libxcb-cos7-aarch64-1.13-h9b0a68f_105.tar.bz2”h+Œ 4c667d91663d3da576314a0b1f564fb4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-aarch64-1.13-h9b0a68f_105.tar.bz2”h0Œ@712f4c01975ff311b16aeb1276e9f12be29bb668bf4c1735183a50dc1baa489a”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@VìÕ²-hEJíµ hFˆubh)”}”(hŒr-ggpage”h#Œ0.2.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-ggpage-0.2.3-r36h6115d3f_1.tar.bz2”h+Œ c71ef9812dd51116993a860545230fe4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggpage-0.2.3-r36h6115d3f_1.tar.bz2”h0Œ@5ee7a523b3eece1c57dfc6a5aa30bb90d19d6d456a4f65446f0c3fcb6f5f220b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-ggplot2 >=2.0.0”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tidytext >=0.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×M [SøhEJuø hFˆubh)”}”(hŒr-testextra”h#Œ0.1.0.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-testextra-0.1.0.1-r36h6115d3f_0.tar.bz2”h+Œ 78c4a467df2f98ba8098823bba478c87”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-testextra-0.1.0.1-r36h6115d3f_0.tar.bz2”h0Œ@d1d2e6a235ac91663f8b28899175357502d3e471646f31a5233aa8d789c38d1d”h2NhNh3(Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œr-parsetools”Œ	r-pkgcond”Œr-postlogic”Œr-purrr”Œr-rlang”Œ	r-stringi”Œ
r-testthat”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯O9{"ÑhEJ.Ç hFˆubh)”}”(hŒ
r-sparkxgb”h#Œ0.1.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-sparkxgb-0.1.1-r36hc72bb7e_0.tar.bz2”h+Œ 9f65689e15a932fb7490648f53bcb348”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparkxgb-0.1.1-r36hc72bb7e_0.tar.bz2”h0Œ@931715d7d7bcf13ac9e02264fd17901cdee4d8e1fff16044b3f7da6271a3332e”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-forge >=0.2.0”Œr-sparklyr >=1.0”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ>Ÿ»33hEJæ/ hFˆubh)”}”(hŒr-celestial”h#Œ1.4.6”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ'r-celestial-1.4.6-r40hc72bb7e_2.tar.bz2”h+Œ 679c46f16b902ab5c37e1847dac13369”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-celestial-1.4.6-r40hc72bb7e_2.tar.bz2”h0Œ@c4349dfa4b475f9bcabca514c7ddcd0fe507b9fe89d78eafa24abd3f9d77ee4d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-nistunits”Œr-pracma”Œr-rann”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+™"ÑhEJ¸â hFˆubh)”}”(hŒmesa-libgl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9mesa-libgl-devel-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h+Œ 8db4be3772b09a9229d07af375c32e63”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@ccff61d893a539f916a8839be33264f2e151b24262cc4d813a83ba69620c99d5”h2NhNh3Œ*mesa-khr-devel-cos7-ppc64le ==18.3.4 *_105”Œ&mesa-libgl-cos7-ppc64le ==18.3.4 *_105”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@`®hEJ_‰ hFˆubh)”}”(hŒflask-testing”h#Œ0.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(flask-testing-0.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0d51fbe91ccfceac59ff808e00684dc5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flask-testing-0.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e237786e34ef50a82c261bae5543862bae108068bfb637363ea5138abae4d2c4”h2NhNh3Œflask”Œpython >=3.0”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ù8¯PhEM÷+hFˆubh)”}”(hŒmesa-khr-devel-cos7-x86_64”h#Œ18.3.4”h%Œh1795305_1101”h'MMhhh(h)hŒ7mesa-khr-devel-cos7-x86_64-18.3.4-h1795305_1101.tar.bz2”h+Œ b73a6a2a6d2533d7a78b137174f505c9”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-x86_64-18.3.4-h1795305_1101.tar.bz2”h0Œ@91ae5005e120756c8a9dbd74b4adaf40e7ec860c99de89eac86243e24349dfd2”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å5záhEMhFˆubh)”}”(hŒpytest-loguru”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pytest-loguru-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4bf8d66d841bf4a162e59b45a3af558c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pytest-loguru-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d0d14d3b6adefe460cf24df93cd437248f469696fc2cb5bdb4849a781b9ffb77”h2NhNh3Œloguru”Œpytest”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ—·¶Àå`hEMðhFˆubh)”}”(hŒr-finch”h#Œ0.4.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-finch-0.4.0-r42hc72bb7e_1.tar.bz2”h+Œ b6c28dad34dc6b30a57fe405668e57e7”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-finch-0.4.0-r42hc72bb7e_1.tar.bz2”h0Œ@8e97dafcaa7b260aa79d7429ee422f0564641c10c28fd420ba9097386a05572e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.10.0”Œr-digest”Œr-eml >=2.0.0”Œr-hoardr >=0.2.0”Œr-plyr”Œ
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pdfcombine”h#Œ1.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pdfcombine-1.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 987c90c90bfcd01ea4ea37f1581c659b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pdfcombine-1.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@db0b7ecef4b1aa662fd87a1fd19230d610c8cf8d8859d32289519e564bfeb737”h2NhNh3(Œclick”Œdocopt”Œghostscript”Œ
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r-combinat”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ†ÚáHhEJ£Ú hFˆubh)”}”(hŒat-spi-cos7-ppc64le”h#Œ1.32.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0at-spi-cos7-ppc64le-1.32.0-hdf0574f_1102.tar.bz2”h+Œ 8068af6b0758c9077b6be52ab3b322ed”h.Œ^https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-ppc64le-1.32.0-hdf0574f_1102.tar.bz2”h0Œ@43fdb15dd30074051bcc9ba751fcb4ca14dbbe829ce4d645085d1b7cab95799d”h2NhNh3(Œ atk-cos7-ppc64le >=1.29.2 *_1102”Œ!gtk2-cos7-ppc64le >=2.10.0 *_1102”Œ"gtk2-cos7-ppc64le >=2.24.31 *_1102”Œ%libbonobo-cos7-ppc64le >=2.4.0 *_1102”Œ"orbit2-cos7-ppc64le >=2.6.0 *_1102”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åj„‹DhEJ; hFˆubh)”}”(hŒr-ismev”h#Œ1.42”h%Œr351h6115d3f_0”h'K hhh(h)hŒ#r-ismev-1.42-r351h6115d3f_0.tar.bz2”h+Œ b0d7ba84268aa90116ee25c4a441ff81”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ismev-1.42-r351h6115d3f_0.tar.bz2”h0Œ@539d03d33985047f3fdd3bbec6b36df81aa7bde8177bfd7f857fbbef0fdec444”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-mgcv”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Ä%ÿ\)hEJJ hFˆubh)”}”(hŒr-sqn”h#Œ1.0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-sqn-1.0.6-r41hc72bb7e_1.tar.bz2”h+Œ cf8ff4a18dbedf4bdca9674d028eb5a0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sqn-1.0.6-r41hc72bb7e_1.tar.bz2”h0Œ@cb8148eb3121105efd638beb70c6b3d78ed8aae744d5aa6d910828b649f7c412”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mclust >=3.2”Œr-nor1mix >=1.0_7”‡”h9hºh@ŒLGPL (>= 2.0)”hBŒLGPL”hDGAØÒy™šhEJaÊ hFˆubh)”}”(hŒr-precommit”h#Œ0.3.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-precommit-0.3.2-r41hc72bb7e_1.tar.bz2”h+Œ 07612489ba6193b5dc79a428a7a79621”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-precommit-0.3.2-r41hc72bb7e_1.tar.bz2”h0Œ@c1a71cd9a37e383342d95be7dc4a3bca9d7461773f0ff317198a326ed083945d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-fs”Œr-here”Œ
r-magrittr”Œr-purrr”Œ	r-r.cache”Œr-rlang”Œr-rprojroot”Œr-rstudioapi”Œr-withr”Œr-yaml”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ5ôM¡ËhEJJé hFˆubh)”}”(hŒr-naepprimer”h#Œ1.0.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ(r-naepprimer-1.0.1-r36hc72bb7e_0.tar.bz2”h+Œ 61202db1014069fadfdb56c21161e60a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-naepprimer-1.0.1-r36hc72bb7e_0.tar.bz2”h0Œ@9ce573aeb8cd7b98626266937c73619ae045dad74936ce5a25ff021f58cd460a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ç_(QìhEJ¬) hFˆubh)”}”(hŒdfviz”h#Œ0.1.0”h%j3G h'K hhh(h)hŒdfviz-0.1.0-0.tar.bz2”h+Œ ac4b075f44c3889c980705fe90734357”h.ŒChttps://conda.anaconda.org/conda-forge/noarch/dfviz-0.1.0-0.tar.bz2”h0Œ@1a1828d7cc1b9ac638f85fd4b8b5b1456b8f02c33f2c406527bb62160acdd7db”h2NhNh3(Œbokeh”Œdask”Œhvplot”Œpanel >=0.5.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×PÓRÔ(öhEMú1hFˆubh)”}”(hŒr-lle”h#Œ1.1”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ"r-lle-1.1-r41hc72bb7e_1004.tar.bz2”h+Œ 94954cf803b516c191fb0d3f8c276bd7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lle-1.1-r41hc72bb7e_1004.tar.bz2”h0Œ@990515d0843f3845d42c1a3941b75701e529e94b353ee30c30f95c469944aafc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-scatterplot3d”Œ
r-snowfall”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ&üt¬hEJ¨7 hFˆubh)”}”(hŒmodel_bakery”h#Œ1.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'model_bakery-1.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ f104c8545ca49432b1ab86efee11b83b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/model_bakery-1.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@98af86b426118044f3e5d574bdbf6bbe3556a68c5329de9cef6f82620063614a”h2NhNh3Œdjango >=1.11.0”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÕžØ;dhEMÒ`hFˆubh)”}”(hŒlibxfixes-cos7-ppc64le”h#Œ5.0.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ1libxfixes-cos7-ppc64le-5.0.3-hdf0574f_102.tar.bz2”h+Œ 68252a73de0a6097b61c85d1a2278fe4”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxfixes-cos7-ppc64le-5.0.3-hdf0574f_102.tar.bz2”h0Œ@8838a48fad4d005f49d2e8c4ea656d1ef61a0464f34d4cda6462efe76b118d5c”h2NhNh3Œlibx11-cos7-ppc64le >=1.6 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶xœ(öhEM=hFˆubh)”}”(hŒr-ini”h#Œ0.3.1”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ$r-ini-0.3.1-r36h6115d3f_1003.tar.bz2”h+Œ 8e7b44451ab93d6980d140ede325a69e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ini-0.3.1-r36h6115d3f_1003.tar.bz2”h0Œ@b3180df7154cb150aa9f9418d5551d3b5bd44021c02e9167af512411a0ae2fca”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«Ê€iG®hEMwhFˆubh)”}”(hŒr-kmsurv”h#Œ0.1_5”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ'r-kmsurv-0.1_5-r40h6115d3f_1003.tar.bz2”h+Œ ca040576778a6bee75fbb4e51b28c2bc”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-kmsurv-0.1_5-r40h6115d3f_1003.tar.bz2”h0Œ@c2326ef020c536cee694e77c0c25b727e7a1d7328d30dc9dc94475a5a8f0f2a1”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«äÅc¥ãhEJÇ8 hFˆubh)”}”(hŒr-multipanelfigure”h#Œ2.1.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ.r-multipanelfigure-2.1.2-r36h6115d3f_1.tar.bz2”h+Œ 3b86bbb8e47dd01b14c1d7d687b84d91”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-multipanelfigure-2.1.2-r36h6115d3f_1.tar.bz2”h0Œ@113a4c168cabe09a6eae6caf9b1b563cf16ad793e109b709bc25c9ffc6c372d0”h2NhNh3(Œr-assertive.base >=0.0_7”Œr-assertive.files >=0.0_2”Œr-assertive.numbers >=0.0_2”Œr-assertive.properties >=0.0_4”Œr-assertive.types >=0.0_3”Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=2.2.1”Œr-gridgraphics >=0.3_0”Œr-gtable >=0.2.0”Œr-magick >=1.9”Œr-magrittr >=1.5”Œr-stringi >=1.2.3”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬¡ƒ £×hEJ-Á) hFˆubh)”}”(hŒpango-cos7-ppc64le”h#Œ1.42.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.pango-cos7-ppc64le-1.42.4-h9b0a68f_105.tar.bz2”h+Œ 2f50f6fa6109bf1958bd1380e758067a”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pango-cos7-ppc64le-1.42.4-h9b0a68f_105.tar.bz2”h0Œ@7f80f4b17dc750ad342f9b7d2feb9c14b0cb79266cb4c4e2acc9490a425c596a”h2NhNh3(Œ"cairo-cos7-ppc64le >=1.12.10 *_105”Œ'fontconfig-cos7-ppc64le >=2.11.91 *_105”Œ#freetype-cos7-ppc64le >=2.1.5 *_105”Œ fribidi-cos7-ppc64le >=1.0 *_105”Œ!glib2-cos7-ppc64le >=2.56.1 *_105”Œ#harfbuzz-cos7-ppc64le >=1.4.2 *_105”Œ"libthai-cos7-ppc64le >=0.1.9 *_105”Œ!libxft-cos7-ppc64le >=2.0.0 *_105”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@ó¶hEJ1} hFˆubh)”}”(hŒr-r2winbugs”h#Œ2.1_21”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ(r-r2winbugs-2.1_21-r42hc72bb7e_3.tar.bz2”h+Œ 26df257160e39088badf3dd21d4ce714”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r2winbugs-2.1_21-r42hc72bb7e_3.tar.bz2”h0Œ@e411c63c4a030fdc8e5673ae9c418217393b7002296d4da5ff74bba0fc5145f6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-coda >=0.11_0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑm\)hEJý6 hFˆubh)”}”(hŒr-rbokeh”h#Œ0.5.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-rbokeh-0.5.2-r40hc72bb7e_0.tar.bz2”h+Œ b7f834c69bec3712a7bfb0439f7f02b8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rbokeh-0.5.2-r40hc72bb7e_0.tar.bz2”h0Œ@8ce5850ac3dd3f110ecb1b23712de9e1063c26a60cc0bcc8eef40aa3e61508d2”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œ	r-ggplot2”Œr-gistr”Œr-hexbin”Œr-htmlwidgets >=0.5”Œ
r-jsonlite”Œ
r-lazyeval”Œ
r-magrittr”Œr-maps”Œr-pryr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØB‚ã³hEJ|‹ hFˆubh)”}”(hŒpyswmm”h#Œ0.6.2”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ!pyswmm-0.6.2-pyh9f0ad1d_1.tar.bz2”h+Œ 6837da99a3bf2cbe8509369d0e0caf9a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyswmm-0.6.2-pyh9f0ad1d_1.tar.bz2”h0Œ@0d4bfe9d7cfdf1ed74998f1fae08520744e34475f735d07cfcf19fdb2c643b7c”h2NhNh3Œpython”Œsix”Œswmm”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×Ñy|‹DhEM”·hFˆubh)”}”(hŒlibx11-devel-cos7-ppc64le”h#Œ1.6.7”h%Œh1795305_1101”h'MMhhh(h)hŒ5libx11-devel-cos7-ppc64le-1.6.7-h1795305_1101.tar.bz2”h+Œ ec77070bdafa603f145c4a387a94ee5c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-ppc64le-1.6.7-h1795305_1101.tar.bz2”h0Œ@ec59c6ad8cfffff4e29e40df4cdca2b989e6e4452df07cc2e9386a64a44f7437”h2NhNh3Œlibx11-cos7-ppc64le 1.6.7”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅÀ(“uhEJA; hFˆubh)”}”(hŒ	descartes”h#Œ1.1.0”h%Œpy_2”h'Khhh(h)hŒdescartes-1.1.0-py_2.tar.bz2”h+Œ 0ffd225d6f826e7791a4be2bd3e15365”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-py_2.tar.bz2”h0Œ@67a4ec32030373b4e87b56fba80a59c345800d2c0b74ccd6fd86c489f3359300”h2NhNh3Œ
matplotlib”Œpython”†”h9h?h@ŒBSD”hDGAÖÖ¾Z~$ÝhEM­hFˆubh)”}”(hŒqtwirl”h#Œ0.9.2”h%Œpy_0”h'K hhh(h)hŒqtwirl-0.9.2-py_0.tar.bz2”h+Œ f44e01d1f337f126ea73180de3ba6aa5”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/qtwirl-0.9.2-py_0.tar.bz2”h0Œ@803bff1262a83610664bae760d5e6c190d458612069a41af6e1660848ec1d107”h2NhNh3(Œalphatwirl >=0.23.3”Œpandas”Œpython”Œroot”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×>—TC–hEM”2hFˆubh)”}”(hŒpysentiment2”h#Œ0.1.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'pysentiment2-0.1.1-pyhd8ed1ab_1.tar.bz2”h+Œ bd8f5178bccc83992bbe1ceaeec32e47”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pysentiment2-0.1.1-pyhd8ed1ab_1.tar.bz2”h0Œ@d60c20a9c174a3106204a7801ac6aab1df40d8560a2cdc5692bafd2289142e27”h2NhNh3Œ
nltk >=2.0”Œpandas”Œpython >=3.6”‡”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGA×ÿ€¸qÛ#hEJí hFˆubh)”}”(hŒ
world2data”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%world2data-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 784563476f9bbedb252c824de62b9d01”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/world2data-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@06b5c4389a716e27d357174cbe1297f2b4b22c365ba740a6fcc825507dc13876”h2NhNh3(Œ	dask-core”Œgryds”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‚GÍæ5?hEM/'hFˆubh)”}”(hŒdjango-autocomplete-light”h#Œ3.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4django-autocomplete-light-3.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ 20875856704ad590e917bd037123695d”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/django-autocomplete-light-3.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@edb7a209acf313a61cfabfb072139de76937da4d9bb33f1f09b6ca90401ef027”h2NhNh3Œpython >=2.7,<3|>=3.4,<4”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ;Ã§9ë…hEJü£ hFˆubh)”}”(hŒ	r-rccmisc”h#Œ0.3.7”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ)r-rccmisc-0.3.7-r351h6115d3f_1000.tar.bz2”h+Œ ab617caa21a8e79c308c687b1b208034”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rccmisc-0.3.7-r351h6115d3f_1000.tar.bz2”h0Œ@9ffcbc97b0ea3715ac683f28a68353fd909b1cf6f285be7deb3e652df0f04a03”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-dplyr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖüöfEp¤hEJ W hFˆubh)”}”(hŒchannels”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#channels-4.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ d51d6866c7607c7b8a64977cb827a42e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/channels-4.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9fc8fdbb6c1f53de23828ee7f06a1d1c4932aa57cd6cc8c72658e2612494a1cf”h2NhNh3(Œasgiref >=3.2.10,<4”Œdaphne >=3.0,<4”Œdjango >=2.2”Œpython >=3.5”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÒÊ¶xÕhEMÛdhFˆubh)”}”(hŒ	pytidylib”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pytidylib-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 97781a133d05905dd4c6045aabfc0327”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pytidylib-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f099be3d1a09deb1299996ddf6d821779d0fc8c38d2b71d08dff5d4ce562e03f”h2NhNh3Œpython >=3.6”Œ
tidy-html5”†”h9h?h@ŒMIT”hBŒMIT”hDGAØZ´üjhEMÕ*hFˆubh)”}”(hŒcomet”h#Œ3.1.0”h%Œpy_0”h'K hhh(h)hŒcomet-3.1.0-py_0.tar.bz2”h+Œ 17767c1118fc503f14b3073dcc23d033”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/comet-3.1.0-py_0.tar.bz2”h0Œ@9ec894b01d500c3a5c45b1f255c84d3ddb5a3b636cb69615eeac80891a9618f8”h2NhNh3(Œ
lxml >=2.3”Œ
python >=3”Œtwisted >=16.0.0”Œzope.interface >=4.1.1”t”h9h?h@ŒBSD 2-Clause”hBŒBSD”hDGA×2Ÿ¾hEM„hFˆubh)”}”(hŒpyctm”h#Œ0.1”h%Œpy_0”h'K hhh(h)hŒpyctm-0.1-py_0.tar.bz2”h+Œ eaf180bb9edbe0bdc58a40b44ae03e89”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/pyctm-0.1-py_0.tar.bz2”h0Œ@ad3785e71474dbeecdefde2fa65606a5a628a5d89d622f5cf23c6b3aa15c8da6”h2NhNh3Œpython”Œscikit-learn”Œsix”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×RÐ+ó"ÑhEM~@hFˆubh)”}”(hŒrich”h#Œ12.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ rich-12.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0d8827e63f0e2783326ec46bd5c77289”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rich-12.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4fb5512f40dd844c75165b7baf5a89a1abf8d02f37e7993e6931663c0f7b118e”h2NhNh3(Œcolorama >=0.4.0,<0.5.0”Œcommonmark >=0.9.0,<0.10.0”Œdataclasses >=0.7,<0.9”Œpygments >=2.6.0,<3.0.0”Œpython >=3.6.2”Œ typing_extensions >=3.7.4,<5.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ’v(“uhEJ¥Œ hFˆubh)”}”(hŒcitrination-client”h#Œ6.5.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ-citrination-client-6.5.1-pyh9f0ad1d_0.tar.bz2”h+Œ 5e806da0618e7562f79847042d6805d4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/citrination-client-6.5.1-pyh9f0ad1d_0.tar.bz2”h0Œ@2ec480baf909ccc3d4679a56135928a32bb010852c759464475757edf3ef56e8”h2NhNh3(Œnumpy”Œpypif”Œpython”Œpyyaml”Œrequests”Œrequests-mock”Œ
setuptools”Œsix”t”h9h?h@Œ
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r-jsonlite”Œ
r-magrittr”Œr-purrr >=0.2.2”Œr-shiny >=0.12.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØb~â\hEJ¦|O hFˆubh)”}”(hŒrb-jekyll-theme-merlot”h#Œ0.1.1”h%Œ
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hc42de5b_0”h'K hhh(h)hŒ&rb-pkg-config-1.4.0-hc42de5b_0.tar.bz2”h+Œ f67a45f487f44dd762c9892713e4292e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/rb-pkg-config-1.4.0-hc42de5b_0.tar.bz2”h0Œ@ee2de2d43400f3bf5d04ded7134f394000410362965d22e19079c308fe3b543b”h2NhNh3Œruby >=2.6.5,<2.7.0a0”…”h9hºh@ŒLGPL-2.0”hBŒGPL”hDGA×lA«ßPhEMù­hFˆubh)”}”(hŒnr.pylang.utils”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*nr.pylang.utils-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ ae185606828e785b5e9deaf3b6170ce1”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/nr.pylang.utils-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@482e0ada7cda1118922b0fc6518f719abcdb20da431aab4d0229a39b7d34e3fa”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØCi0ïžhEM(hFˆubh)”}”(hŒ	r-mapedit”h#Œ0.6.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-mapedit-0.6.0-r35h6115d3f_0.tar.bz2”h+Œ 4eaf7c956589b8ba9fa678d3310b551d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mapedit-0.6.0-r35h6115d3f_0.tar.bz2”h0Œ@9c9e99bebba056002cdeec7178446645dca6c22fd3d376c250878b0fd8c851f3”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-leaflet.extras >=1.0”Œr-leafpm”Œ	r-mapview”Œr-miniui”Œr-sf >=0.5_2”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÃÛg
=hEJŒí hFˆubh)”}”(hŒr-snakecase”h#Œ0.11.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-snakecase-0.11.0-r36h6115d3f_1.tar.bz2”h+Œ cec5d8c30aa94736b2b44a5d1de3f1d9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-snakecase-0.11.0-r36h6115d3f_1.tar.bz2”h0Œ@06be2be8c410f4a214232b65de90c84f086eb956656600a4fbe8e4418dedb68d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-stringi”Œ	r-stringr”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Kâ<¥`BhEJ˜À hFˆubh)”}”(hŒ
compaction”h#Œ0.2.2”h%Œpy_0”h'K hhh(h)hŒcompaction-0.2.2-py_0.tar.bz2”h+Œ a782222bdb1cb12a320c67f48695cc5f”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/compaction-0.2.2-py_0.tar.bz2”h0Œ@9e3a999aeb7a503e34e12f243897de0eb217ce8129efd2a3e4ab2a6fe08451ab”h2NhNh3(Œclick”Œlandlab”Œnumpy”Œpandas”Œ
python >=3”Œpyyaml”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×—›Ôü“hEM<hFˆubh)”}”(hŒflask-themes2”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(flask-themes2-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8ee8deeb87a2a13ecd5ff14ae1e39bf8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flask-themes2-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0548ea352496ca1a79354a1914b80c0a09213ec7d7080c08370d7bcbaa10e15d”h2NhNh3Œflask >=2.0”Œ
python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØŸ³W\)hEM¨-hFˆubh)”}”(hŒparam_persist”h#Œ0.1.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ(param_persist-0.1.3-pyhd8ed1ab_1.tar.bz2”h+Œ 3cb21e0e857ff2d2ce49d87d7193628d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/param_persist-0.1.3-pyhd8ed1ab_1.tar.bz2”h0Œ@f228a7bdfbab744ae88488d466c254e6b1ef16032c8f3210391f35e4b1242757”h2NhNh3Œparam >=1.10,<2.0”Œpython >=3.6”Œ
sqlalchemy”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ê«¾mó¶hEMk4hFˆubh)”}”(hŒ
r-multiroc”h#Œ1.1.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ)r-multiroc-1.1.1-r36h6115d3f_1001.tar.bz2”h+Œ 5cc635fa36768ca34b9bdcbad1497ec5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r36h6115d3f_1001.tar.bz2”h0Œ@b0a40d368f338c632b049bdee613f4e2c71c6d881d2efb304116a4cc41b1e20e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-boot”Œ
r-magrittr”Œr-zoo”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÎ©xÕhEJk# hFˆubh)”}”(hŒr-simplecache”h#Œ0.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-simplecache-0.4.2-r42hc72bb7e_1.tar.bz2”h+Œ 2404e50dccaeb3a633ecfc0953aebae7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-simplecache-0.4.2-r42hc72bb7e_1.tar.bz2”h0Œ@8f4bfdff4d617b99ef18911e78f09c4775a46575e6ebcbeebeb7c9f9105ae902”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSD-2-clause”hBŒBSD”hDGAØÒÔIºhEJhq hFˆubh)”}”(hŒr-optimr”h#Œ
2019_12.16”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-optimr-2019_12.16-r41hc72bb7e_2.tar.bz2”h+Œ c8a6173807b7e93d91b18c784c987c98”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimr-2019_12.16-r41hc72bb7e_2.tar.bz2”h0Œ@51ac105504c1d7301c854e64185fb7c0db519756086420db968ceadd6b620e61”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-numderiv”Œr-optextras”Œr-rcgmin”Œr-rvmmin”Œr-setrng”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ>µÙÛ#hEJ‰: hFˆubh)”}”(hŒnumactl-libs-cos7-aarch64”h#Œ2.0.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6numactl-libs-cos7-aarch64-2.0.12-h9b0a68f_1105.tar.bz2”h+Œ f695640768d6a44705540c12ccbbb04b”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/numactl-libs-cos7-aarch64-2.0.12-h9b0a68f_1105.tar.bz2”h0Œ@5a36ff6b02de750ab58bdc79f2ec2ea299b7b99aa624f01d30b32235db728efd”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2 and GPLv2”hBŒGPL2”hDGAØ@‰òŸPhEM°¥hFˆubh)”}”(hŒ
r-pheatmap”h#Œ1.0.12”h%Œr35h6115d3f_1”h'Khhh(h)hŒ'r-pheatmap-1.0.12-r35h6115d3f_1.tar.bz2”h+Œ 994f0220d5ac4f96a8b8e9f7449f669b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pheatmap-1.0.12-r35h6115d3f_1.tar.bz2”h0Œ@08c92617d256b3ce2ac1127b2f3a14502a9989a547881957b4483e74913d3613”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-gtable”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Lg©ÄœhEJü] hFˆubh)”}”(hŒr-itertools”h#Œ0.1_3”h%Œr36_1003”h'Mëhhh(h)hŒ"r-itertools-0.1_3-r36_1003.tar.bz2”h+Œ 5825d6de6043a9813fcca05635aa9eb3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-itertools-0.1_3-r36_1003.tar.bz2”h0Œ@3c53a9289761bf2778440c6d12e137ae129e15febca544ff335a3489ecb283fb”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-iterators >=1.0.0”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«äË¿;dhEJ€è hFˆubh)”}”(hŒlibice-cos7-ppc64le”h#Œ1.0.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.libice-cos7-ppc64le-1.0.9-h9d98e8f_104.tar.bz2”h+Œ 8748fcdf9787666dc479e821d4271375”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libice-cos7-ppc64le-1.0.9-h9d98e8f_104.tar.bz2”h0Œ@f78b3ba8abea9b2dc33ab9d2143b1b70dda10c9e62c12c6ce36573afe17044cc”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éxñ=VhEJÕ hFˆubh)”}”(hŒr-arm”h#Œ1.13_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-arm-1.13_1-r42hc72bb7e_1.tar.bz2”h+Œ e61eb1510e58d62a6305b67a009a4185”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-arm-1.13_1-r42hc72bb7e_1.tar.bz2”h0Œ@2a0f1601f0ec2cd2b0766fba55877d5b1b31ea17859a404503b74034b847a42b”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-coda”Œr-hmisc”Œr-lme4 >=1.0”Œr-mass”Œr-matrix >=1.0”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒò;Û×
hEJG hFˆubh)”}”(hŒlibxml2-cos7-x86_64”h#Œ2.9.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libxml2-cos7-x86_64-2.9.1-h9b0a68f_1105.tar.bz2”h+Œ ee371281395b5ca02bbf875c64563cbf”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-x86_64-2.9.1-h9b0a68f_1105.tar.bz2”h0Œ@404490dc461f120565f3b5728af6adca4cee7521bd0ad857de96552d1a01ee74”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@hšn˜hEJ> hFˆubh)”}”(hŒr-pixmap”h#Œ0.4_12”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-pixmap-0.4_12-r42hc72bb7e_1.tar.bz2”h+Œ 56e8728c7c9b66bb517c004117e5686d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pixmap-0.4_12-r42hc72bb7e_1.tar.bz2”h0Œ@a83803c9abfb7be76885c433978e41e03c720f912ce18dac2365688d26caa4d5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐHña‰7hEJ§ hFˆubh)”}”(hŒredis-py”h#Œ3.2.1”h%Œpy_0”h'K hhh(h)hŒredis-py-3.2.1-py_0.tar.bz2”h+Œ 685fe0dd517301fce5453b28e4b0a796”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/redis-py-3.2.1-py_0.tar.bz2”h0Œ@c9d0c19ccb6dddab512b49aa86ea4eac62533841f2628a9f51ffb1b77f45dddd”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×#˜,(öhEM0ØhFˆubh)”}”(hŒ	r-selectr”h#Œ0.4_2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-selectr-0.4_2-r41hc72bb7e_2.tar.bz2”h+Œ 2edad0ef34ccba75ba58971cb54206bd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-selectr-0.4_2-r41hc72bb7e_2.tar.bz2”h0Œ@d543b621807b891426cfe3daf09559a5d734dac569a20e4bd884242f53df76a1”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-r6”Œ	r-stringr”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÐPÍƒC–hEJòQ hFˆubh)”}”(hŒempyre”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!empyre-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 24b54e43f0963e904ee190cdf8ea56af”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/empyre-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@12a505e1b30ac8b582696b3f45e298587e39415f4d47f61a235fc176034d3488”h2NhNh3(Œmatplotlib-base >=3.2”Œnumpy >=1.17”Œpillow”Œpython >=3.6”Œscikit-image”Œscipy”Œtqdm”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¿òåhEJª hFˆubh)”}”(hŒ	r-dagwood”h#Œ0.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-dagwood-0.1.4-r42hc72bb7e_1.tar.bz2”h+Œ af20217acff7908a715422df65961ec8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dagwood-0.1.4-r42hc72bb7e_1.tar.bz2”h0Œ@25c5ddee6ac081d3e933c15f655c08cb32dcb2a4313f01439f7df676ae436080”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-dagitty”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ4¿´ýôhEMUŒhFˆubh)”}”(hŒlibuuid-devel-cos7-aarch64”h#Œ2.23.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ7libuuid-devel-cos7-aarch64-2.23.2-ha826a6f_1103.tar.bz2”h+Œ 36b30ca59e8aa9246ee6555d4459145d”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-aarch64-2.23.2-ha826a6f_1103.tar.bz2”h0Œ@33f71960515493021352d3215577671890e6aca86294523cb92cb51c5f1b3e41”h2NhNh3Œ$libuuid-cos7-aarch64 ==2.23.2 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ{¾/|îhEMMXhFˆubh)”}”(hŒopensm-libs-cos7-aarch64”h#Œ3.3.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4opensm-libs-cos7-aarch64-3.3.21-h9b0a68f_105.tar.bz2”h+Œ c2cfcde2c49f1de8b6c310b369eecf80”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/opensm-libs-cos7-aarch64-3.3.21-h9b0a68f_105.tar.bz2”h0Œ@388fe35c1e747e464aee278fd5479f7236f81cd83a00df0d536ac68bf2c95621”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛIô–éyhEJá  hFˆubh)”}”(hŒepsie”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ epsie-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ d0be66f8bbab37a25c92fd6812d60ced”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/epsie-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ae20cb6a5bbf9792646ebd19a947c96b374b7e5a13115dfb1a63762f69430d25”h2NhNh3(Œnumpy >=1.17.0”Œpython >=3.6”Œrandomgen >=1.18”Œscipy >=0.16.0”Œsix >1.10.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØzN´Ö‡+hEM˜æhFˆubh)”}”(hŒr-gprofiler”h#Œ0.7.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-gprofiler-0.7.0-r40hc72bb7e_1.tar.bz2”h+Œ e215143c399bd12b46916a434de97759”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gprofiler-0.7.0-r40hc72bb7e_1.tar.bz2”h0Œ@d9937ad3edfae72810a775af47e58bd1ffeeab2f65a7641b62898d4ff8345490”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-plyr”Œr-rcurl”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+'CR=qhEMåhFˆubh)”}”(hŒr-nycflights13”h#Œ1.0.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ*r-nycflights13-1.0.2-r36hc72bb7e_0.tar.bz2”h+Œ 48fca7eada5d8a773468d122c7d4ed72”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-nycflights13-1.0.2-r36hc72bb7e_0.tar.bz2”h0Œ@7f1b93537227da78c519f4c61da0495c4e6f16d28d3e14c06c1fcd443e03e5d5”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØ#ÍçPhEJ/bE hFˆubh)”}”(hŒpango-devel-cos7-ppc64le”h#Œ1.42.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4pango-devel-cos7-ppc64le-1.42.4-h9b0a68f_105.tar.bz2”h+Œ 466a9157e80171f6cf37c2dfa75cf83c”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-ppc64le-1.42.4-h9b0a68f_105.tar.bz2”h0Œ@e437cb39687c31630e162ead5d5a7b21b99c180f13823560027cd977c0b83212”h2NhNh3(Œ(cairo-devel-cos7-ppc64le >=1.12.10 *_105”Œ-fontconfig-devel-cos7-ppc64le >=2.11.91 *_105”Œ)freetype-devel-cos7-ppc64le >=2.1.5 *_105”Œ'glib2-devel-cos7-ppc64le >=2.56.1 *_105”Œ!pango-cos7-ppc64le ==1.42.4 *_105”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‘{Æ¨hEJ« hFˆubh)”}”(hŒr-nhpoisson”h#Œ3.3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-nhpoisson-3.3-r40h6115d3f_1.tar.bz2”h+Œ 3f4a99c72589fbbb19368d4db29bf0e4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-nhpoisson-3.3-r40h6115d3f_1.tar.bz2”h0Œ@f599aaabab3eeb502f5d3589194ebce9b8f6608891960607398be51ad2c2f8fa”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-car”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯Ü­/hEJ±, hFˆubh)”}”(hŒr-smatr”h#Œ3.4_8”h%Œr35h6115d3f_1”h'Khhh(h)hŒ#r-smatr-3.4_8-r35h6115d3f_1.tar.bz2”h+Œ 08c24365b644f483bcc1aae88d7afa96”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-smatr-3.4_8-r35h6115d3f_1.tar.bz2”h0Œ@b46bebc5f2e3798e4a8451ccee486ff17ba51e30c2332af2127c9d53826be7e7”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LYkÀbNhEJ< hFˆubh)”}”(hŒr-tpea”•+      h#Œ3.1.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-tpea-3.1.0-r41hc72bb7e_2.tar.bz2”h+Œ 596aa4b7d9b6b093cf7d625e02b596fe”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tpea-3.1.0-r41hc72bb7e_2.tar.bz2”h0Œ@5e30de919561a7088188666df600214df4a6cb7e455d4c29f157d5a31863b3cd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-foreach”Œr-igraph”Œr-matrix”Œr-mess”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓ;u`BhEJÃ hFˆubh)”}”(hŒrb-necromancer”h#Œ0.5.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ'rb-necromancer-0.5.1-hc42de5b_0.tar.bz2”h+Œ 47049ec104db77d17f026cf147595775”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/rb-necromancer-0.5.1-hc42de5b_0.tar.bz2”h0Œ@b119e2cd67dabcc5b36592bc73db59ca5e56e4189184365520ffd2d3576b86e6”h2NhNh3Œruby >=2.6.5,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×w]Ë"ÑhEM±ÇhFˆubh)”}”(hŒgoogle-auth-httplib2”h#Œ0.0.3”h%Œpy_2”h'Khhh(h)hŒ'google-auth-httplib2-0.0.3-py_2.tar.bz2”h+Œ 109fe9c90bde2ac33edbcddbaa309dc0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/google-auth-httplib2-0.0.3-py_2.tar.bz2”h0Œ@ca71cf50d0fd0b2554ef42dbb736d1aef82188397569e017173cb7adddfffc62”h2NhNh3(Œgoogle-auth”Œhttplib2 >=0.9.1”Œpython”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÖö_Ä•ãThEM&*hFˆubh)”}”(hŒ	nengo-ocl”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$nengo-ocl-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1db9a9bbebdd225080088bf817e5753e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/nengo-ocl-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ee3afef8174b17e1d4928b810aa2b05def1d28c119aa4cf36dc5397ce4b4ef49”h2NhNh3(Œmako”Œnengo >=3.1.0”Œplatformdirs”Œpyopencl”Œpython >=3.6”t”h9h?h@ŒLicenseRef-NENGO”hDGAØyžgÜjhEJ° hFˆubh)”}”(hŒr-randtests”h#Œ1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-randtests-1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ df6687fe10e5fd750ed93d46f2f216e0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-randtests-1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@2e9a428a48ec5b74a0a1046bcf91c10e64475ec31042d8b5146fb7da951c6530”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ/‡)hshEJ1` hFˆubh)”}”(hŒlibxext-cos7-x86_64”h#Œ1.3.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libxext-cos7-x86_64-1.3.3-h9b0a68f_1105.tar.bz2”h+Œ fa89bf85234b86e0bdc09a26e022f233”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-x86_64-1.3.3-h9b0a68f_1105.tar.bz2”h0Œ@5bdfa462200aaf3eb49afef300cb36dbbf18e4416c0184bc503228850807d091”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@p$:Ÿ¾hEMé–hFˆubh)”}”(hŒ
subsurface”h#Œ0.2.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%subsurface-0.2.9-pyhd8ed1ab_0.tar.bz2”h+Œ 7b277a76b99b7a02b40fa2b917792fb0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/subsurface-0.2.9-pyhd8ed1ab_0.tar.bz2”h0Œ@cde5df5e60be8837fd47985fef41d8bb2b8199618dc2fdef27f289dea5a31d1b”h2NhNh3Œpython >=3.8”Œxarray”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØcª¥]‘hhEM*¹hFˆubh)”}”(hŒr-tpea”h#Œ3.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-tpea-3.1.0-r36h6115d3f_0.tar.bz2”h+Œ 762d3f3bc8d6d15e4f603b65c39868f6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tpea-3.1.0-r36h6115d3f_0.tar.bz2”h0Œ@de6aedf50cd0ef1f22e9fdd05c9f8bae98046a30a2a741dd9e17ade2dc1ddaed”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-foreach”Œr-igraph”Œr-matrix”Œr-mess”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×xcvÈ´hEJ hFˆubh)”}”(hŒr-easypubmed”h#Œ2.13”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ'r-easypubmed-2.13-r36hc72bb7e_0.tar.bz2”h+Œ fb000bddbf125f32fc43393017441d93”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-easypubmed-2.13-r36hc72bb7e_0.tar.bz2”h0Œ@73f95a5a49f77ae9beaae8d70a19ccfce15d36a9281946a7f43f18002809058f”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ/DXé‡hEJ~ hFˆubh)”}”(hŒmodepy”h#Œ2021.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"modepy-2021.1-pyhd8ed1ab_0.tar.bz2”h+Œ 86bb1830d25e5368681065dadc59ca53”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/modepy-2021.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f53cc72e0812ca1b62c6256ce9e9ef8367f8ccb2fea28d80b7dcb7161dfa86fa”h2NhNh3(Œnumpy”Œpymbolic >=2021.1”Œpython >=3.6”Œpytools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ= íÒòhEJ^L hFˆubh)”}”(hŒ
r-corrgram”h#Œ1.14”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-corrgram-1.14-r41hc72bb7e_0.tar.bz2”h+Œ e49e368e671e6825f85640edffe35232”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-corrgram-1.14-r41hc72bb7e_0.tar.bz2”h0Œ@ccf07a82dd0216d821b59e062a7a9e8c49a4eaee82a47c2ce9bb7922cfd31b7d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+,7ÌzáhEJp¦ hFˆubh)”}”(hŒjupyterhub-ldapauthenticator”h#Œ1.3.2”h%Œpy_0”h'K hhh(h)hŒ/jupyterhub-ldapauthenticator-1.3.2-py_0.tar.bz2”h+Œ a9b595c4b6952e7d8211a6fafd8f71f8”h.Œ]https://conda.anaconda.org/conda-forge/noarch/jupyterhub-ldapauthenticator-1.3.2-py_0.tar.bz2”h0Œ@b28c579e08b86ffe696b3dbb22f8bae0e6462eee7360208f0758d08202a2d90b”h2NhNh3(Œ
jupyterhub”Œldap3”Œpython >=3.5”Œtornado”Œ	traitlets”t”h9h?h@ŒBSD-3”hBŒBSD”hDGA×ÒD\í‘hEM"4hFˆubh)”}”(hŒpixman-cos7-ppc64le”h#Œ0.34.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0pixman-cos7-ppc64le-0.34.0-hdf0574f_1102.tar.bz2”h+Œ 4c6f24af9a9b06ad7a2e826d073ff9df”h.Œ^https://conda.anaconda.org/conda-forge/noarch/pixman-cos7-ppc64le-0.34.0-hdf0574f_1102.tar.bz2”h0Œ@0c05bd8f34d98d4004f31ea1327ec25bf294091e1f99260162c9001ddb625aca”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;ˆÛ…hEJNe hFˆubh)”}”(hŒlibnl-devel-cos7-aarch64”h#Œ1.1.4”h%Œh2da7399_1100”h'MLhhh(h)hŒ4libnl-devel-cos7-aarch64-1.1.4-h2da7399_1100.tar.bz2”h+Œ 7c47b7e7c14ab36e965dd27fc322c649”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-aarch64-1.1.4-h2da7399_1100.tar.bz2”h0Œ@c776551319c2c25a8e3e65162f6abc8b77ed468e5628ad75b785879ef26e24fa”h2NhNh3Œlibnl-cos7-aarch64 1.1.4”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÄyŠö§ðhEJí	 hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-ppc64le”h#Œ1.20.4”h%Œha826a6f_103”h'Kghhh(h)hŒ?xorg-x11-server-common-cos7-ppc64le-1.20.4-ha826a6f_103.tar.bz2”h+Œ 73f80d40af29ce5dc08ddbcfc0821d99”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-ppc64le-1.20.4-ha826a6f_103.tar.bz2”h0Œ@f1eba83e56fb58212dc44dc32477340774d3d967c396ba0d4751b6c2387005a0”h2NhNh3Œ"pixman-cos7-ppc64le >=0.30.0 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0ppbNhEM…hFˆubh)”}”(hŒr-prettycode”h#Œ1.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-prettycode-1.1.0-r40hc72bb7e_1.tar.bz2”h+Œ 5b8acf2ce34eed4f18381f3ae5dee84d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-prettycode-1.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@85c94a860c458899045ea24828b8ac59bcb0110451eb1222cce5f22513702f32”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-withr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ñ’Ü(öhEJXç hFˆubh)”}”(hŒr-saver”h#Œ1.1.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-saver-1.1.2-r41hc72bb7e_2.tar.bz2”h+Œ b6842c48e2ce7c5749f93141dd52065c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-saver-1.1.2-r41hc72bb7e_2.tar.bz2”h0Œ@5f2d42aac93d33948120f9f0943116e193984dbdf1ca31aaca43637c37862977”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œ	r-foreach”Œr-glmnet”Œr-iterators”Œr-matrix”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒêIbÐåhEJà@ hFˆubh)”}”(hŒ	flask-nav”h#Œ0.6”h%Œpy_0”h'K hhh(h)hŒflask-nav-0.6-py_0.tar.bz2”h+Œ 01c95c5d889390dc156902e5fa7185eb”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/flask-nav-0.6-py_0.tar.bz2”h0Œ@8ca42d03d3f661e67b61890ed5788719385f74d4551b9787762263c51b769ce3”h2NhNh3(Œdominate”Œflask”Œpython”Œvisitor”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐçn|jhEM¤hFˆubh)”}”(hŒ
r-anesrake”h#Œ0.80”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-anesrake-0.80-r41hc72bb7e_0.tar.bz2”h+Œ 5aec64dfd2f2ae11f52e640a64d3deb8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-anesrake-0.80-r41hc72bb7e_0.tar.bz2”h0Œ@db2bbdf0f31df6d4ed489ce2d1807b580c88d780fb336f29a9ba75c42320d88c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-hmisc”Œ	r-weights”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ,$òŠ\hEJuV hFˆubh)”}”(hŒr-ggmcmc”h#Œ1.5.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-ggmcmc-1.5.1.1-r40hc72bb7e_0.tar.bz2”h+Œ 3709aac9480a541d3408d4a0701d78ac”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggmcmc-1.5.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@406a8470c24a7b8ad4a272093a4f8215b864636aa2e205134ff446d061386261”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=1.0.0”Œr-ggally >=1.1.0”Œ	r-ggplot2”Œr-tidyr >=1.1.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØõ«=hEJ¡¬- hFˆubh)”}”(hŒr-kpmt”h#Œ0.1.0”h%Œr351h6115d3f_0”h'K hhh(h)hŒ#r-kpmt-0.1.0-r351h6115d3f_0.tar.bz2”h+Œ eb6296dec45354d36aa01dbb58fe264e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-kpmt-0.1.0-r351h6115d3f_0.tar.bz2”h0Œ@5acd55adb50d39dacffe496d74b7809e52f2ad242c5a619d3c43ac8c0b549ee0”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-matrixstats”†”h9hºh@ŒMIT”hBŒMIT”hDGA×'Æ5?hEJÁB hFˆubh)”}”(hŒ
nose-timer”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%nose-timer-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ fa6c26a8dc87acaaff1c19e4389086ed”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/nose-timer-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7599797422bcc51c1a6906fd54a445a62ad82e2f4eff5f1f0279f0ea884043fb”h2NhNh3(Œcolorama”Œnose”Œpython >=3.5”Œ	termcolor”t”h9h?h@ŒMIT”hBŒMIT”hDGAØb¸N{hEM¦.hFˆubh)”}”(hŒpytorch-spiking”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pytorch-spiking-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6ffdd139c3c2718283fef0ceb83f3a56”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pytorch-spiking-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@32dcbf7ec57d8cea869e30e61f592b7a112f002ce294fc1f001b1dc29bd75a53”h2NhNh3Œnumpy >=1.16.0”Œpython >=3.6”Œpytorch >=1.0.0”‡”h9h?h@ŒLicenseRef-NENGO”hDGAØyž%+C–hEMd4hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_8”h'Khhh(h)hŒ!fenics-fiat-2019.1.0-py_8.tar.bz2”h+Œ 5dfcf67a4d8d0db2ab195c1cadeb7b6f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_8.tar.bz2”h0Œ@e9fe8ca7d1a4791fbe153f61c0555127f213154e02fbe3095ebade0a9aab7b17”h2NhNh3Œnumpy”Œpython >=3.5”Œ	sympy >=1”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×zH_•hEJ+ hFˆubh)”}”(hŒ
df2gspread”h#Œ1.0.4”h%Œpyhd3deb0d_1002”h'Mêhhh(h)hŒ(df2gspread-1.0.4-pyhd3deb0d_1002.tar.bz2”h+Œ 95ba6987c5eea5891a67c618de662e80”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/df2gspread-1.0.4-pyhd3deb0d_1002.tar.bz2”h0Œ@8e8f7fff9ea6e80b8afe6bf12c0a071d8de5ab9c77524ab853494a0fca390a37”h2NhNh3(Œgoogle-api-python-client”Œgspread”Œoauth2client”Œpandas”Œpycrypto”Œpython”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×êøjÍhEM°khFˆubh)”}”(hŒlibrdmacm-cos6-x86_64”h#Œ1.0.21”h%Œ
h1341992_0”h'K hhh(h)hŒ/librdmacm-cos6-x86_64-1.0.21-h1341992_0.tar.bz2”h+Œ a6a0f56cecf5f108914f7a50add13054”h.Œ]https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos6-x86_64-1.0.21-h1341992_0.tar.bz2”h0Œ@14b5a7d3d8d83ff4eb899429d416009706bdae77a3cb7373109c3409e51448b0”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Fõ~ü¬hEMÙûhFˆubh)”}”(hŒlibxi-cos7-x86_64”h#Œ1.7.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-libxi-cos7-x86_64-1.7.9-h9b0a68f_1105.tar.bz2”h+Œ 26a32c19700e87cef51553579f7dde02”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-x86_64-1.7.9-h9b0a68f_1105.tar.bz2”h0Œ@72607077c44fc297906d45a0b472ba7b0b9c1d5b4bc0a9c22af2a1d5f39e360f”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@o]?}hEM–ŽhFˆubh)”}”(hŒ
r-labeling”h#Œ0.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-labeling-0.4.2-r40hc72bb7e_0.tar.bz2”h+Œ de75464b7a12617971e7abe9ff3f464d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@2d47936c08eea4f7cd819fd645537b676967da8f6ce5da8639f1d39903de6bf2”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT OR Unlimited”hBŒMIT”hDGAØ*Óåë¥ãhEJs hFˆubh)”}”(hŒazure-keyvault”h#Œ4.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)azure-keyvault-4.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 723787c4f874f4dee15fd1232be36239”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/azure-keyvault-4.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8da256c377e61ff3782b990b8b9de71621f96f065b070428e0e736d7afe9128c”h2NhNh3(Œ!azure-keyvault-certificates ~=4.3”Œazure-keyvault-keys ~=4.3”Œazure-keyvault-secrets ~=4.3”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØýS\ýôhEM§hFˆubh)”}”(hŒr-proto”h#Œ1.0.0”h%Œr36_2002”h'MÒhhh(h)hŒr-proto-1.0.0-r36_2002.tar.bz2”h+Œ 59e179391624c5d2ff258904e7549ed8”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-proto-1.0.0-r36_2002.tar.bz2”h0Œ@3c82a4a7086e0eec80154ade9eada45924512bc054fb277556c3730e25e6f9d9”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Kèê¬IºhEJ¢F hFˆubh)”}”(hŒredisgraph-py”h#Œ2.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(redisgraph-py-2.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ d31c496dcd7929a1c286693f44f345e3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/redisgraph-py-2.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@22a3736632bc85747aba6dd46ebbfe76fa0f30698c431592de6efb826e05e53a”h2NhNh3(Œhiredis”Œpoetry”Œprettytable”Œpython >=3.6”Œredis-py”Œtox”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØVüã¥ãhEM¬9hFˆubh)”}”(hŒr-colourpicker”h#Œ1.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-colourpicker-1.2.0-r42hc72bb7e_0.tar.bz2”h+Œ 6ab5b6e1135e34d4a848dbaa8915182c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-colourpicker-1.2.0-r42hc72bb7e_0.tar.bz2”h0Œ@a1cb8d48596d30d32b23cf124d203bf2e86e9ee9394080287967308d63e33c55”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-htmltools”Œr-htmlwidgets >=0.7”Œ
r-jsonlite”Œr-miniui >=0.1.1”Œr-shiny >=0.11.1”Œr-shinyjs >=2.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÖñ$îE¢hEJ6· hFˆubh)”}”(hŒpdpipe”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pdpipe-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 95303f1475b322d6a2e0e40ddedda97f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pdpipe-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@695998608ab2b527cfcf5521a9460ed99d6db86f5216538ed9d9e1d5dd923933”h2NhNh3(Œbirch”Œpandas >=0.18.0”Œpython >=3.7,<3.11”Œskutil >=0.0.15”Œsortedcontainers”Œstrct”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØËÞtÕVhEJ¬Q hFˆubh)”}”(hŒ'napari-medical-image-formats-read-write”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒBnapari-medical-image-formats-read-write-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 418f2766706c1428eabba5ccb21e67cb”h.Œphttps://conda.anaconda.org/conda-forge/noarch/napari-medical-image-formats-read-write-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9ced9556c6cae34af4d686bbf3a67e3db83f2204a67622963651bcd58e2d13a6”h2NhNh3(Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpydicom”Œpython >=3.7”Œ	simpleitk”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŒ³O
=hEM×"hFˆubh)”}”(hŒr-bindr”h#Œ0.1.1”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ&r-bindr-0.1.1-r36h6115d3f_1003.tar.bz2”h+Œ db01b0431ca1b0b8f3f02ab0e9fb9292”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-bindr-0.1.1-r36h6115d3f_1003.tar.bz2”h0Œ@61f4a4f10ea60aba42d71d53606f4f3d42ea55ed1810fbdc9f504d3403814648”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬"ãwPhEM…VhFˆubh)”}”(hŒlibnl3-cos6-x86_64”h#Œ3.2.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libnl3-cos6-x86_64-3.2.21-h9b0a68f_105.tar.bz2”h+Œ 6de6b7f131b98494e9f5c656e0e80978”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl3-cos6-x86_64-3.2.21-h9b0a68f_105.tar.bz2”h0Œ@c7b97080e640e27dbbc4146a3daa7b44e2436b0ded380b745cc7516cf6029b5d”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@VÎ­¡ËhEJ´[ hFˆubh)”}”(hŒnspr-cos7-ppc64le”h#Œ4.21.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ.nspr-cos7-ppc64le-4.21.0-ha826a6f_1103.tar.bz2”h+Œ 7854c7cd30515ba18408a5040221e4a1”h.Œ\https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-ppc64le-4.21.0-ha826a6f_1103.tar.bz2”h0Œ@692b6a8716a05d4c181d2a67fe442a178f4403bf9056543d8b96735495eb61fc”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ0º)‡hEJÒ9 hFˆubh)”}”(hŒipython-autotime”h#Œ0.1”h%Œpy_1”h'Khhh(h)hŒ!ipython-autotime-0.1-py_1.tar.bz2”h+Œ 7aa0f8fd4bfc8887daed97a5314bc376”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ipython-autotime-0.1-py_1.tar.bz2”h0Œ@b4e9ab4f8839f4cf5c4f8d9bfaa7c359a756eb09dc9aeaa5f8b3daf15c06b9bb”h2NhNh3Œipython”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÑ
§eãThEMfhFˆubh)”}”(hŒ
r-cranlogs”h#Œ2.1.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-cranlogs-2.1.1-r36hc72bb7e_0.tar.bz2”h+Œ 3b3eb1e873dba710e66911bc73397390”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cranlogs-2.1.1-r36hc72bb7e_0.tar.bz2”h0Œ@f08814dca8f44886c4de67439f9c74fa2ad0a40cdcd8d95adeacb235792b6bc8”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ%NÜ9Û#hEM¾{hFˆubh)”}”(hŒ	r-etrunct”h#Œ0.1”h%Œr36_1001”h'Méhhh(h)hŒr-etrunct-0.1-r36_1001.tar.bz2”h+Œ 6730f1fa36889ea965119284393b10fe”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-etrunct-0.1-r36_1001.tar.bz2”h0Œ@b3a380da8ea20a495c67da7709ea8990999eecd708f2b53658579f50dfceb340”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Lˆæ§ðhEMq?hFˆubh)”}”(hŒr-config”h#Œ0.3.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-config-0.3.1-r36hc72bb7e_0.tar.bz2”h+Œ fafcb5ea351d2a439bfcfeb09953e51a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-config-0.3.1-r36hc72bb7e_0.tar.bz2”h0Œ@a19f2856450be0adbb17a98953b0676e11be732120c9aa994feb31755bcafcfd”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-yaml >=2.1.13”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×÷a†ô“hEJØz hFˆubh)”}”(hŒr-mosaiccore”h#Œ0.9.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-mosaiccore-0.9.2.1-r40hc72bb7e_0.tar.bz2”h+Œ 306a6f6384244b4595dbd4d7a5c36273”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-mosaiccore-0.9.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@94f771b4f8898d263ea90930ed0bc8d042bc19cbbd088e1c91be5e71b8041a41”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-mass”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØË¯Æ4›¦hEJÈN hFˆubh)”}”(hŒ
r-incadata”h#Œ0.9.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-incadata-0.9.1-r36h6115d3f_1.tar.bz2”h+Œ 0bde34d5eb4584f1178170127740c2bd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-incadata-0.9.1-r36h6115d3f_1.tar.bz2”h0Œ@1d73c236c4cb5a246c1769f30d72188f83f1a5f786923cd73d8ccc60377cccb8”h2NhNh3(Œr-backports”Œr-base >=3.6,<3.7.0a0”Œ	r-decoder”Œr-dplyr”Œr-rvest”Œr-sweidnumbr”Œr-xml2”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬¹d›¦hEJæo hFˆubh)”}”(hŒlibsepol-cos7-aarch64”h#Œ2.5”h%Œha826a6f_103”h'Kghhh(h)hŒ.libsepol-cos7-aarch64-2.5-ha826a6f_103.tar.bz2”h+Œ 7a5d0ae822819f9b1897e93fdffaa861”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-aarch64-2.5-ha826a6f_103.tar.bz2”h0Œ@429d644c8c7078de33a9f0fac5dd94598b3f8ad13de796251648b230ce431218”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/v’^5hEJR hFˆubh)”}”(hŒ	r-pastecs”h#Œ1.3.21”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-pastecs-1.3.21-r41hc72bb7e_2.tar.bz2”h+Œ b17a0dc35b3871a45bae7a60540b35f5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pastecs-1.3.21-r41hc72bb7e_2.tar.bz2”h0Œ@8129910ebae9e261a469c608e49724176b984abc314c95956f8705afb4446446”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-boot”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+ø«SøhEJr˜ hFˆubh)”}”(hŒmesa-dri-drivers-cos7-aarch64”h#Œ18.3.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9mesa-dri-drivers-cos7-aarch64-18.3.4-h9d98e8f_104.tar.bz2”h+Œ a23082bc6166128c588e161424a8ee19”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-aarch64-18.3.4-h9d98e8f_104.tar.bz2”h0Œ@151c6632025fa911fc80fe969fdddfe4c19c98ab97dc9de48787f127b5b0d80a”h2NhNh3Œ"libdrm-cos7-aarch64 >=2.4.83 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Ézî(QìhEJ’Ÿ˜hFˆubh)”}”(hŒ
r-rvertnet”h#Œ0.8.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-rvertnet-0.8.2-r42hc72bb7e_1.tar.bz2”h+Œ 619e69cf7e62a31abc2543ed9b8c37b6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rvertnet-0.8.2-r42hc72bb7e_1.tar.bz2”h0Œ@3abba4dd1580469460fcf2ea79a343032cdfbf0b5a59ba0dcc2f7cb6e92f18d2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.5.2”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œr-jsonlite >=1.5”Œr-maps”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ€¼ZhEJƒ hFˆubh)”}”(hŒurbansim”h#Œ3.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!urbansim-3.2-pyh9f0ad1d_0.tar.bz2”h+Œ 6954dc50cf3baf337541ba681fdcf0d5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/urbansim-3.2-pyh9f0ad1d_0.tar.bz2”h0Œ@56bf83e18615fb27202a079cb3f7c68363428178c2c0ec51fa826773286b8da8”h2NhNh3(Œnumpy >=1.8.0”Œ
orca >=1.1”Œpandas >=0.17.0”Œpatsy >=0.4.1”Œprettytable >=0.7.2”Œpython”Œpyyaml >=3.10”Œscipy >=1.0”Œstatsmodels >=0.8”Œtoolz >=0.8.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×­k•¸hEMìhFˆubh)”}”(hŒ
r-threeway”h#Œ1.1.3”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ)r-threeway-1.1.3-r41hc72bb7e_1002.tar.bz2”h+Œ 68122627a31d3fbddbda6140125a1249”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-threeway-1.1.3-r41hc72bb7e_1002.tar.bz2”h0Œ@34dff4aa4ac7878256c41119bc158d0c1974cb98a90333bc5a5fb6ca7caac8b8”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+¨¿\)hEJË hFˆubh)”}”(hŒpybloom_live”h#Œ3.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pybloom_live-3.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 93117d14752d084c25a7cfed94a4beab”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pybloom_live-3.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e93fc14c81b9ce1a987c98db544bc7407b1d74cda4df78b8bec86cbc2296d411”h2NhNh3Œbitarray >=0.3.4”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ˜@±Z°!hEM0hFˆubh)”}”(hŒdash”h#Œ2.0.0”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒdash-2.0.0-pyhd8ed1ab_2.tar.bz2”h+Œ 1a379c6eb424d280c986d134c079703a”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/dash-2.0.0-pyhd8ed1ab_2.tar.bz2”h0Œ@5f01cf88a99bd8003270842eb0d2e6b32ecd03bf7890c0ae4293c7c4841e3f56”h2NhNh3(Œflask >=1.0.4”Œflask-compress”Œplotly >=5.0.0”Œpython >=3.6”Œ
setuptools”t”h6Œdash-core-components >=2.0.0”Œdash_table >=5.0.0”Œdash-html-components >=2.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ„= VhEJë[ hFˆubh)”}”(hŒlibxxf86vm-devel-cos7-aarch64”h#Œ1.1.4”h%Œ
h1341992_0”h'K hhh(h)hŒ6libxxf86vm-devel-cos7-aarch64-1.1.4-h1341992_0.tar.bz2”h+Œ aaf149b7280fefdaa9f5e05394451727”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-aarch64-1.1.4-h1341992_0.tar.bz2”h0Œ@65a7241a85892ea6834ac879d5f9ce287fbe6c311ede29b3f40723cfc5a68807”h2NhNh3Œ(libxxf86vm-cos7-aarch64 1.1.4 h1341992_0”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ZD‚>È´hEM°.hFˆubh)”}”(hŒ
r-medrxivr”h#Œ0.0.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-medrxivr-0.0.5-r42hc72bb7e_1.tar.bz2”h+Œ 53a7018b3eeeaa74c530d3106bffc005”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-medrxivr-0.0.5-r42hc72bb7e_1.tar.bz2”h0Œ@c86fb4cb3dfbd8a6ee69082823fa4234951721b0c36ea0781afbbbf8fb6db6db”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bib2df”Œr-curl”Œr-data.table”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ
r-progress”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-vroom”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒRüZhEJì  hFˆubh)”}”(hŒr-gplots”h#Œ3.1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-gplots-3.1.3-r40hc72bb7e_0.tar.bz2”h+Œ 03c19c64e299110bd0829d8a6a199855”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gplots-3.1.3-r40hc72bb7e_0.tar.bz2”h0Œ@3c3402119b2b8503a9e29b9315d32ce2300cbadad3fb8fb65cd5cf37c3c543a7”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-catools”Œr-gtools”Œr-kernsmooth”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ™ñQhshEJ×k	 hFˆubh)”}”(hŒ
r-seasonal”h#Œ1.9.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-seasonal-1.9.0-r41hc72bb7e_1.tar.bz2”h+Œ efd3628bdfd3aa498a4ebae59196d6b6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-seasonal-1.9.0-r41hc72bb7e_1.tar.bz2”h0Œ@f3cbf1303f485c8ba9818fbd11c1b917c2b92b1d3515d632d331bc4892ab2d44”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-x13binary”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ¾Ý‘hhEJ$Ò hFˆubh)”}”(hŒlibpng-cos7-ppc64le”h#Œ1.5.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libpng-cos7-ppc64le-1.5.13-h9b0a68f_1105.tar.bz2”h+Œ 90a2699510a5f9070f5618bf040b9e1e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libpng-cos7-ppc64le-1.5.13-h9b0a68f_1105.tar.bz2”h0Œ@b6330d3bf40c1354d6f94575c2f2f9876ceb21244ca2970ea39738ec0a01533a”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@Œzlib”hBŒOther”hDGAØ@‡ŒÑ‡hEJ+ hFˆubh)”}”(hŒlibdrm-devel-cos6-x86_64”h#Œ2.4.65”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libdrm-devel-cos6-x86_64-2.4.65-h9d98e8f_104.tar.bz2”h+Œ 3c7dd682a904d2f412886aa0e2fe7d25”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos6-x86_64-2.4.65-h9d98e8f_104.tar.bz2”h0Œ@191237d9c32fdb5e1e6face173faa7932dff8248374902a16ebc9e2099902d00”h2NhNh3Œ)kernel-headers-cos6-x86_64 >=2.6.27 *_104”Œ!libdrm-cos6-x86_64 ==2.4.65 *_104”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzÆÓ•hEJÓ? hFˆubh)”}”(hŒpylev”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pylev-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ edf8651c4379d9d1495ad6229622d150”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pylev-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@50bd91767686bfe769e50a5a1b883e238d944a6163fea43e7c0beaac54ca674f”h2NhNh3Œpython >=3.3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØtÈ9ùÛhEM6$hFˆubh)”}”(hŒgaitpy”h#Œ1.6.1”h%Œpy_0”h'K hhh(h)hŒgaitpy-1.6.1-py_0.tar.bz2”h+Œ 06aa5389b311c0d2e9d2312835f117ce”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/gaitpy-1.6.1-py_0.tar.bz2”h0Œ@61e2a23110a986486c1c760039656b673c20f08615df7483a385b84619b1c870”h2NhNh3(Œbokeh 0.12.10”Œdeepdish 0.3.4”Œdill 0.2.7.1”Œnumpy 1.13.3”Œpandas 0.20.3”Œ
python 3.6”Œpywavelets 0.5.2”Œscikit-learn 0.21.3”Œscipy 1.2.0”Œstatsmodels 0.8.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×šªýQº^hEJW_ hFˆubh)”}”(hŒr-ggpointless”h#Œ0.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-ggpointless-0.0.3-r41hc72bb7e_0.tar.bz2”h+Œ e24e7a6e8d11dbdcd7dbb6cf18e4d4d6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ggpointless-0.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@6688b7896f2ec5dfd8899245eb12f9cfbce215fd9879d39a40863268ad3209f9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.3.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÁü
ÄýôhEJSw hFˆubh)”}”(hŒr-tabulizer”h#Œ0.2.2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-tabulizer-0.2.2-r40h6115d3f_1.tar.bz2”h+Œ 0fcd463ce003c0dbb76d201d6876c3f0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizer-0.2.2-r40h6115d3f_1.tar.bz2”h0Œ@f5cc46bf60359b3d62046e0bec39da6fda65a500bafa3566bc3c365e52306757”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-png”Œr-rjava”Œr-tabulizerjars”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ág,¬hEJ0n hFˆubh)”}”(hŒuproot3”h#Œ3.14.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#uproot3-3.14.4-pyhd8ed1ab_0.tar.bz2”h+Œ 87bea8e3df78e4b444a6ed21f5183503”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/uproot3-3.14.4-pyhd8ed1ab_0.tar.bz2”h0Œ@51188598f1794d4b09958c76b25a730ed9b740c3ffb97d512f5746e64efbe652”h2NhNh3(Œawkward0”Œ
cachetools”Œnumpy >=1.13.1”Œpython ==2.7.*|>=3.5”Œuproot3-methods”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ	Ã«Aë…hEJöX hFˆubh)”}”(hŒpiexif”h#Œ1.1.3”h%Œpy_0”h'K hhh(h)hŒpiexif-1.1.3-py_0.tar.bz2”h+Œ 6f6f3ad6f785926bce81a296594832e7”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/piexif-1.1.3-py_0.tar.bz2”h0Œ@53b050d547ccafc2d12f7be28629a36516f73a5704ef6e53a125b8340014e695”h2NhNh3(Œpillow 5.4.1.*”Œpython”Œsphinx”Œsphinxcontrib-websupport”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Fé 5¸hEMTOhFˆubh)”}”(hŒoutput_viewer”h#Œ1.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(output_viewer-1.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 018ad9668ce1bc30187a648ba1ca7411”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/output_viewer-1.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@402748a3ebc2aaa6264eaec36320d622edd92ae29d906cd1df32800c4441e57b”h2NhNh3Œpython >=3.6,<3.8”Œrequests”†”h9h?h@ŒESGF”hDGA×ò†ÿ¬(öhEJ&Z hFˆubh)”}”(hŒargutils”h#Œ0.3.3”h%Œpy_0”h'K hhh(h)hŒargutils-0.3.3-py_0.tar.bz2”h+Œ 9f9315b20887fda216184cdd71b7b3e3”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/argutils-0.3.3-py_0.tar.bz2”h0Œ@d54376796696949b708aa3087a259c788a6a3a0613b488d0414ed50a9fc316dd”h2NhNh3Œpython”Œpyyaml”Œsix”‡”h9h?h@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×]Ô×XhEMÿChFˆubh)”}”(hŒbackoff”h#Œ2.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"backoff-2.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4600709bd85664d8606ae0c76642f8db”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/backoff-2.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b1cf7df15741e5fbc57e22a3a89db427383335aaab22ddc1b30710deeb0130de”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÏ}O/hEM]DhFˆubh)”}”(hŒr-caper”h#Œ1.0.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ&r-caper-1.0.1-r41hc72bb7e_1002.tar.bz2”h+Œ a1e4b6567171ed269f995aaf04eef6fb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-caper-1.0.1-r41hc72bb7e_1002.tar.bz2”h0Œ@c4daaefaa5f32dd7d027574faa8b72147563690cbdbdac98687df11962cfc06e”h2NhNh3(Œr-ape >=3.0_6”Œr-base >=4.1,<4.2.0a0”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+0¼É©ühEJ3 hFˆubh)”}”(hŒr-manipulate”h#Œ1.0.1”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ+r-manipulate-1.0.1-r36h6115d3f_1003.tar.bz2”h+Œ ce01881f86121fe0d6edf30afc30f40c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-manipulate-1.0.1-r36h6115d3f_1003.tar.bz2”h0Œ@8d818eb1c1fc44354f559a152f4ca03e29e6d6ed7cdd81601978c61c22841019”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬®6<ZhEMæßhFˆubh)”}”(hŒp11-kit-trust-cos6-x86_64”h#Œ0.18.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6p11-kit-trust-cos6-x86_64-0.18.5-hdf0574f_1102.tar.bz2”h+Œ d45b5ec037160cab66b59b98ce35b9a3”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos6-x86_64-0.18.5-hdf0574f_1102.tar.bz2”h0Œ@3af394acc209e790fd769199110535c48417087313eac1eaaa0d41ca0239f20c”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Åá¨-ãThEJI* hFˆubh)”}”(hŒr-compute.es”h#Œ0.2_5”h%Œr35h6115d3f_0”h'K hhh(h)hŒ(r-compute.es-0.2_5-r35h6115d3f_0.tar.bz2”h+Œ e9f99474855b1625fc9754579521bdb3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-compute.es-0.2_5-r35h6115d3f_0.tar.bz2”h0Œ@bd81ed78d43f4d9b39f6587bc74c77088c685dd84a5726e0afe1f92a442ec938”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¡9} £×hEJé‚ hFˆubh)”}”(hŒglib2-cos7-ppc64le”h#Œ2.56.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.glib2-cos7-ppc64le-2.56.1-h9b0a68f_105.tar.bz2”h+Œ 9bcbecd61fca5f458ae644f51b2340be”h.Œ\https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-ppc64le-2.56.1-h9b0a68f_105.tar.bz2”h0Œ@d74d60e21e3875c6fd6dc3abed0faca615d318fa7872cdef6c8196445b25e794”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‡ÒŠ\hEJ¥. hFˆubh)”}”(hŒ
r-gridbase”h#Œ0.4_7”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ)r-gridbase-0.4_7-r41hc72bb7e_1004.tar.bz2”h+Œ 9e7bab03ea991c8996c4154a91380254”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r41hc72bb7e_1004.tar.bz2”h0Œ@1e7d7ab80ec1dec1afbcb3560644d0ac98dd73a13a4b2b3110e034f4d478bfb0”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÐþS•hEJïÙ hFˆubh)”}”(hŒlibxml2-devel-cos7-x86_64”h#Œ2.9.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libxml2-devel-cos7-x86_64-2.9.1-ha826a6f_1103.tar.bz2”h+Œ bd7a0b4f8e8dd23cf9bf0cd323b06efe”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-x86_64-2.9.1-ha826a6f_1103.tar.bz2”h0Œ@2f74f4fa42bed389d67879928b07cbb66be37510d981f8d1ef585056103918dc”h2NhNh3Œ"libxml2-cos7-x86_64 ==2.9.1 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1E¢hEJ< hFˆubh)”}”(hŒr-here”h#Œ1.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-here-1.0.1-r40hc72bb7e_0.tar.bz2”h+Œ 701947ece384b24e9b837ee39b6d8709”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-here-1.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@303e9bd60006d22659e50891f15ca50e903e00cdc840ed3c9c6d8062dd11682a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rprojroot >=2.0.2”†”h9hºh@ŒMIT”hBŒMIT”hDGA×õuæH´9hEM ÛhFˆubh)”}”(hŒ	r-ggextra”h#Œ0.10.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggextra-0.10.0-r41hc72bb7e_0.tar.bz2”h+Œ a00b8c316ee7b36f7d5e726194a7ac68”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggextra-0.10.0-r41hc72bb7e_0.tar.bz2”h0Œ@591811c5297101e4b80fc48c234418661ac840cff8796fc7f9e7eecac2788b78”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colourpicker >=1.0”Œr-ggplot2 >=2.2.0”Œr-gtable >=0.2.0”Œr-miniui >=0.1.1”Œr-r6”Œr-scales >=0.2.0”Œr-shiny >=0.13.0”Œr-shinyjs >=0.5.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØŽæ¯;dhEJ± hFˆubh)”}”(hŒfixtures”h#Œ3.0.0”h%Œpy_0”h'K hhh(h)hŒfixtures-3.0.0-py_0.tar.bz2”h+Œ da65666c6ba8e12f1e87ecd26e0413d3”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/fixtures-3.0.0-py_0.tar.bz2”h0Œ@23a778827614691bdef03af4786384dcd87e16ea0a7b8d2413846c30bd17fa2c”h2NhNh3(Œextras”Œ
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r-magrittr”Œ	r-pbapply”Œr-spatstat >=2.0_0”Œr-spatstat.geom”Œr-transport”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ.GïžhEJ­c hFˆubh)”}”(hŒcairo-devel-cos6-x86_64”h#Œ1.8.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3cairo-devel-cos6-x86_64-1.8.8-h9d98e8f_1104.tar.bz2”h+Œ 4501d1bf69909c6a51de602b69e9eb7e”h.Œahttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos6-x86_64-1.8.8-h9d98e8f_1104.tar.bz2”h0Œ@6c3a44d0bb9032a81d2bd0e5d99ee0d0e333953818c4b9df9ab371bd8db04a6f”h2NhNh3(Œ cairo-cos6-x86_64 ==1.8.8 *_1104”Œ)fontconfig-devel-cos6-x86_64 >=2.0 *_1104”Œ)freetype-devel-cos6-x86_64 >=2.1.9 *_1104”Œ(pixman-devel-cos6-x86_64 >=0.12.0 *_1104”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×É\KhEJ³ü hFˆubh)”}”(hŒmatrix-api-async”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒ#matrix-api-async-0.1.0-py_0.tar.bz2”h+Œ 7f286da48f59b3e306c1c97271f18b02”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/matrix-api-async-0.1.0-py_0.tar.bz2”h0Œ@23c2e4d90f43278cfb07be28b4189060a3db2b7775f4890408deac0079170c57”h2NhNh3Œmatrix_client”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ºº|§\)hEMûhFˆubh)”}”(hŒ	si-prefix”h#Œ1.2.2”h%Œpyh44b312d_0”h'K hhh(h)hŒ$si-prefix-1.2.2-pyh44b312d_0.tar.bz2”h+Œ 8d2c92103542dfb26f71b5b9069dc80f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/si-prefix-1.2.2-pyh44b312d_0.tar.bz2”h0Œ@00549d29623700827c1fc47ba7e23bcb9ce19691d0f9d36eee74905b569be8ec”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØqkçmhEMt&hFˆubh)”}”(hŒsysroot_linux-ppc64le”h#Œ2.17”h%Œh8b29623_10”h'K
hhh(h)hŒ.sysroot_linux-ppc64le-2.17-h8b29623_10.tar.bz2”h+Œ 8d9ac7894bac83400681992d7f108815”h.Œ\https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-ppc64le-2.17-h8b29623_10.tar.bz2”h0Œ@859e5c91c15ef39f389aaca33d33eef6a9b1f4cc6a108950c441fc894d624f46”h2NhNh3Œ/kernel-headers_linux-ppc64le 3.10.0 hbe0c576_10”Œ-_sysroot_linux-ppc64le_curr_repodata_hack 4.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGA×ÉdŒ“"ÑhEJïÎhFˆubh)”}”(hŒtemmeta”h#Œ0.0.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"temmeta-0.0.6-pyh9f0ad1d_0.tar.bz2”h+Œ 492a5e666e4ec2f0ccdb8320fa97d7a4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/temmeta-0.0.6-pyh9f0ad1d_0.tar.bz2”h0Œ@ef2e1621612fbc5f0b90fdda1400daecfd59c04083282d65ca916f63fec9762b”h2NhNh3(Œhyperspy”Œmatplotlib-base”Œmatplotlib-scalebar”Œnumpy”Œpandas”Œpillow”Œpython”Œscipy”Œtqdm”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×Öž-ö§ðhEJ=* hFˆubh)”}”(hŒr-gap.datasets”h#Œ0.0.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-gap.datasets-0.0.5-r40hc72bb7e_0.tar.bz2”h+Œ ad95ef40b18f61175d86c71291e16f6f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gap.datasets-0.0.5-r40hc72bb7e_0.tar.bz2”h0Œ@6180bad713f21a9a947c76316b2cdddf832ce27bb49ba307d8cee6ba41b4cd6e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØŸÚt‰‡hEJ–O7 hFˆubh)”}”(hŒlime”h#Œ0.2.0.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!lime-0.2.0.1-pyhd8ed1ab_1.tar.bz2”h+Œ 789ce01416721a5533fb74aa4361fd13”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/lime-0.2.0.1-pyhd8ed1ab_1.tar.bz2”h0Œ@f27c83b74d9e49a26774a399a2331c726b1922e2fcde1c367665f8c3b111fb81”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œscikit-image >=0.12”Œscikit-learn >=0.18”Œscipy”Œtqdm”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØËnÝôÌÍhEJ‚¬ hFˆubh)”}”(hŒlibglvnd-glx-cos7-ppc64le”h#Œ1.0.1”h%Œha826a6f_103”h'Kghhh(h)hŒ4libglvnd-glx-cos7-ppc64le-1.0.1-ha826a6f_103.tar.bz2”h+Œ 2a6516756cf047b3070fb82e2ea83063”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-glx-cos7-ppc64le-1.0.1-ha826a6f_103.tar.bz2”h0Œ@2a10a35e1769a582fd85cf1330f04a674d1286fd358de776d8bb45afcd9fd31c”h2NhNh3Œ#libglvnd-cos7-ppc64le ==1.0.1 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ú¥ãhEJKÉ hFˆubh)”}”(hŒ
r-mlr3data”h#Œ0.6.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-mlr3data-0.6.1-r40hc72bb7e_0.tar.bz2”h+Œ 76624dbe8345dc06563a4e312e23b3f0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mlr3data-0.6.1-r40hc72bb7e_0.tar.bz2”h0Œ@cb7d5a5571c37533d24c1c6a74814adc2150afe92fe9a674e2317b943750fd2c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ¾Œ$<ZhEJÐE hFˆubh)”}”(hŒ
r-alluvial”h#Œ0.1_2”h%Œr40_1002”h'Mêhhh(h)hŒ!r-alluvial-0.1_2-r40_1002.tar.bz2”h+Œ 947a51e0258b1257b10451fc92fdf1ed”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r40_1002.tar.bz2”h0Œ@6de7ede11c5311e43155f92d9bd9babab907587f8e00e030b19004bc39cbed22”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬$Þ1G®hEJK} hFˆubh)”}”(hŒr-kpmt”h#Œ0.1.0”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ%r-kpmt-0.1.0-r40h6115d3f_1003.tar.bz2”h+Œ dbb90692229c4de2717f88be78277046”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kpmt-0.1.0-r40h6115d3f_1003.tar.bz2”h0Œ@f7865728b02c2bd2a174a063f5fb66ef2530d4249f9e3e34aff573651724a211”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrixstats”†”h9hºh@ŒMIT”hBŒMIT”hDGA×¬¶æó¶hEJsO hFˆubh)”}”(hŒpyrtf”h#Œ0.45”h%Œpy_2”h'Khhh(h)hŒpyrtf-0.45-py_2.tar.bz2”h+Œ 1a3dc98b49ac259a69f9fe16f6a22d39”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/pyrtf-0.45-py_2.tar.bz2”h0Œ@b194c6e6b9dd6f6a541db32bb3818265d0f2129f23eb9ba7b8e64eaeca95fcbc”h2NhNh3Œfuture”Œpython”†”h9h?h@ŒLGPL-2.1”hBŒLGPL”hDGA×qmàHƒhEMsohFˆubh)”}”(hŒlibxcursor-cos6-x86_64”h#Œ1.1.14”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxcursor-cos6-x86_64-1.1.14-ha826a6f_1103.tar.bz2”h+Œ 77270502d3cf240002422a9d6744d44e”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos6-x86_64-1.1.14-ha826a6f_1103.tar.bz2”h0Œ@60595955471ba9d83fcd767eb2b99eb9c484bfb20398d62cab5d29dc5b7284fe”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2•¨QìhEMîbhFˆubh)”}”(hŒr-sticky”h#Œ0.5.6.1”h%Œr35hc72bb7e_0”h'K hhh(h)hŒ&r-sticky-0.5.6.1-r35hc72bb7e_0.tar.bz2”h+Œ 99f660a9b3b23f6201abf4701fb34e02”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sticky-0.5.6.1-r35hc72bb7e_0.tar.bz2”h0Œ@d05f1371d7f5a7b7ce54a65adf96a2503c3def127565718dec0c7ed309b41f14”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ¡Ú KdZhEMÍ¬hFˆubh)”}”(hŒdjango”h#Œ4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒdjango-4.0-pyhd8ed1ab_1.tar.bz2”h+Œ 5d84e177021a8e5407b93b75134a52e7”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/django-4.0-pyhd8ed1ab_1.tar.bz2”h0Œ@23ed6ec8561938752217ee0c82e0517bb228ad5adbd08c2dc47517c331d185ae”h2NhNh3(Œasgiref >=3.4.1”Œpython >=3.8”Œpytz”Œsqlparse >=0.2.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØkæ/XƒhEJLh= hFˆubh)”}”(hŒgraphframes”h#Œ0.6”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ$graphframes-0.6-pyhd3deb0d_0.tar.bz2”h+Œ 6cab4d33036de7905c94b6765eec8d7e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/graphframes-0.6-pyhd3deb0d_0.tar.bz2”h0Œ@29895fe2611b8609f3eceebb574b8b51003a95ce5abb05c3a242513431bfaa19”h2NhNh3Œnumpy”Œpyspark”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ôCâË×
hEM¥XhFˆubh)”}”(hŒr-data.tree”h#Œ1.0.0”h%Œr36_0”h'K hhh(h)hŒr-data.tree-1.0.0-r36_0.tar.bz2”h+Œ 41cbd9ef398eabb5fba675a19dea39de”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-data.tree-1.0.0-r36_0.tar.bz2”h0Œ@d5f96a92176409ef499381c1aa97e1c89114b4831b843778e345ab4ac582648a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-diagrammer >=1.0.0”Œr-r6”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGA×ÊCˆÔþhEJ[ hFˆubh)”}”(hŒnumactl-devel-cos7-x86_64”h#Œ2.0.12”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6numactl-devel-cos7-x86_64-2.0.12-h9d98e8f_1104.tar.bz2”h+Œ d8092e902d5a1017d6ab60b4c75ebf58”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/numactl-devel-cos7-x86_64-2.0.12-h9d98e8f_1104.tar.bz2”h0Œ@37f9cabf84af080cc8f400b70e829d23b6895bba05422fa9f74d52ee2ae94de4”h2NhNh3Œ(numactl-libs-cos7-x86_64 ==2.0.12 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2 and GPLv2”hBŒGPL2”hDGA×âd²MÓhEM…hFˆubh)”}”(hŒr-ggresidpanel”h#Œ0.3.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ*r-ggresidpanel-0.3.0-r42hc72bb7e_3.tar.bz2”h+Œ 1d14d32a215a364634372fdbbd90b8ba”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ggresidpanel-0.3.0-r42hc72bb7e_3.tar.bz2”h0Œ@e71f4530588c0cf0338db32085735fdb7ff4f6a1fb6030426ef5b02b8715552f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cowplot”Œ	r-ggplot2”Œr-mass”Œr-plotly”Œ	r-qqplotr”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒqÍ/hEJb° hFˆubh)”}”(hŒ
r-isocodes”h#Œ
2022.09.29”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-isocodes-2022.09.29-r41hc72bb7e_0.tar.bz2”h+Œ dbfe04718d91b702bec5a38f0aa4035f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-isocodes-2022.09.29-r41hc72bb7e_0.tar.bz2”h0Œ@6f2db1f22479e7f57e2ddf2dc2abfc62edab3338ca6486350c88b86e71514bfe”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÍÇfs"ÑhEJ hFˆubh)”}”(hŒtensorboard-plugin-wit”h#Œ1.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1tensorboard-plugin-wit-1.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0adae6ededf20046d74a3f9343269efd”h.Œ_https://conda.anaconda.org/conda-forge/noarch/tensorboard-plugin-wit-1.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0fe8ba638c8d2ff7ac1d681570b8b43c5a8c0a4360424b912c3ec4c360c06e73”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØu«W†ùÛhEJòq
 hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-ppc64le”h#Œ1.20.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ@xorg-x11-server-common-cos7-ppc64le-1.20.4-h9d98e8f_1104.tar.bz2”h+Œ 87b49e1368c8a9c77a4c10b860646f0b”h.Œnhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-ppc64le-1.20.4-h9d98e8f_1104.tar.bz2”h0Œ@d3cecb2f80856bf2a0b649e59e62d574595a5914384b107cef3e62ba59fc3844”h2NhNh3Œ#pixman-cos7-ppc64le >=0.30.0 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|X	Û#hEM9…hFˆubh)”}”(hŒpdblp”h#Œ0.1.8”h%Œpy27_0”h'K hhh(h)hŒpdblp-0.1.8-py27_0.tar.bz2”h+Œ a085d8e1e641eea0e70764dd376b9bdf”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pdblp-0.1.8-py27_0.tar.bz2”h0Œ@7397a79167d59539ed8ff5b502e6d9b09653e44022843f1070fadccd9382c973”h2NhNh3Œblpapi”Œpandas”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×Üœ›¦hEMôLhFˆubh)”}”(hŒat-spi-devel-cos7-aarch64”h#Œ1.32.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ6at-spi-devel-cos7-aarch64-1.32.0-ha826a6f_1103.tar.bz2”h+Œ 33f32c2b0dd8c94d6985445242106ece”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos7-aarch64-1.32.0-ha826a6f_1103.tar.bz2”h0Œ@612958b341f1b7e0f16682d874dfc28da52a997a8e042ca48b6fd7677b4bd6dc”h2NhNh3(Œ#at-spi-cos7-aarch64 ==1.32.0 *_1103”Œ&atk-devel-cos7-aarch64 >=1.29.2 *_1103”Œ'gtk2-devel-cos7-aarch64 >=2.10.0 *_1103”Œ(gtk2-devel-cos7-aarch64 >=2.24.31 *_1103”Œ+libbonobo-devel-cos7-aarch64 >=2.4.0 *_1103”Œ(orbit2-devel-cos7-aarch64 >=2.6.0 *_1103”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ4fë"ÑhEJ@‡ hFˆubh)”}”(hŒlibxau-cos7-ppc64le”h#Œ1.0.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libxau-cos7-ppc64le-1.0.8-h9d98e8f_1104.tar.bz2”h+Œ 35a76c04f651da46705689f2dcd6699d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-ppc64le-1.0.8-h9d98e8f_1104.tar.bz2”h0Œ@15ed1f351fddaba6a03872236cecc0666b876e1f33008db842dbc5545bbf0095”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz:ã¶FhEMuchFˆubh)”}”(hŒmesa-libgbm-cos7-x86_64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4mesa-libgbm-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 2dd8a62bae2c9262e78fb0e70f5dacef”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@44ce6ad0f4ac8fe54cb09072d3698ff24d85f02e737d682a9063f2f103c536fe”h2NhNh3Œ"libdrm-cos7-x86_64 >=2.4.83 *_1102”Œ)mesa-libglapi-cos7-x86_64 ==18.3.4 *_1102”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+jÜýôhEMƒ{hFˆubh)”}”(hŒcairo-cos6-x86_64”h#Œ1.8.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ-cairo-cos6-x86_64-1.8.8-ha826a6f_1103.tar.bz2”h+Œ 44d0f1245f4d98c344bfffcaffbe33bc”h.Œ[https://conda.anaconda.org/conda-forge/noarch/cairo-cos6-x86_64-1.8.8-ha826a6f_1103.tar.bz2”h0Œ@3f10f830fbbcf5cf8cfca1a29a57190b8c801a2fb3a278a7af4e10dd65f8af51”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Æ/êô1hEJÇ hFˆubh)”}”(hŒpycp2k”h#Œ0.2.2”h%Œpy_1”h'Khhh(h)hŒpycp2k-0.2.2-py_1.tar.bz2”h+Œ 318ac8baa49505b2e8fb45c8f3d74c4d”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pycp2k-0.2.2-py_1.tar.bz2”h0Œ@6c4f9cf42397b935931740d3c948ba35fba9c775dc5936b78d9b43becfdaedd4”h2NhNh3(Œase”Œfuture”Œnumpy”Œpython”t”h9h?h@ŒLGPL-3.0”hBŒLGPL”hDGA×[CïÆÙhEJ•Á hFˆubh)”}”(hŒalsa-lib-devel-cos6-x86_64”h#Œ1.1.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ6alsa-lib-devel-cos6-x86_64-1.1.0-ha826a6f_1103.tar.bz2”h+Œ 19c74dbe55113fc3c447954ef98280a8”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/alsa-lib-devel-cos6-x86_64-1.1.0-ha826a6f_1103.tar.bz2”h0Œ@7531350c06497e2dfa936dec6574787a962dc63aa3651faef7db8cadf996494f”h2NhNh3Œ#alsa-lib-cos6-x86_64 ==1.1.0 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{«ÂhEJ! hFˆubh)”}”(hŒdepinfo”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"depinfo-2.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4ac9f7eab0c0dccdf30fee34e170e759”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/depinfo-2.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3dea70c80926a2923f6e345be445a78978ed43814c424756bd4ec265fb056dd5”h2NhNh3Œimportlib_metadata”Œpip”Œpython >=3.6”‡”h9h?h@Œ
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r-magrittr”Œ	r-pbapply”Œr-rcppeigen”Œr-rcurl”Œr-signal”Œr-transformer”Œr-verification”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢6v‹DhEJ-;qhFˆubh)”}”(hŒsphinx-releases”h#Œ1.6.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ*sphinx-releases-1.6.3-pyhd8ed1ab_1.tar.bz2”h+Œ a7de55e5052c22aaa3e0f334390054bf”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/sphinx-releases-1.6.3-pyhd8ed1ab_1.tar.bz2”h0Œ@bb5cf3921f805e8d4152af802d108a632f7556f287d1d2b1123fccef19c51b47”h2NhNh3Œpython >=3.6”Œsemantic_version <2.7”Œsphinx >=1.8”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ[À×KÇhEMúUhFˆubh)”}”(hŒnr.cli”h#Œ1.2.1”h%Œpy_0”h'K hhh(h)hŒnr.cli-1.2.1-py_0.tar.bz2”h+Œ 94079c5d462e902101697b7aa4cfd04a”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/nr.cli-1.2.1-py_0.tar.bz2”h0Œ@1ea05f448d8cfd7dd2e91abdead31acf3e9f5f68f24dc42eb572e88002c6fd8c”h2NhNh3Œpython”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGA×L…º…ó¶hEMhFˆubh)”}”(hŒr-assertive.data”h#Œ0.0_3”h%Œr40h6115d3f_2”h'Khhh(h)hŒ,r-assertive.data-0.0_3-r40h6115d3f_2.tar.bz2”h+Œ 01b7317d82113112b8f73d0f45a5c4dd”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.data-0.0_3-r40h6115d3f_2.tar.bz2”h0Œ@a014f37001b52b18c5d82babdc7bc6e2db2c35eab9722a243ede6d2badba1f53”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.0,<4.1.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«þlzáhEJØ hFˆubh)”}”(hŒr-tractor.base”h#Œ3.3.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-tractor.base-3.3.5.1-r41hc72bb7e_0.tar.bz2”h+Œ 0f53b04cd3bb3ca559e040a7accceb02”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tractor.base-3.3.5.1-r41hc72bb7e_0.tar.bz2”h0Œ@2a871a921dece214ab4a3eb5be462b838a6b3e7300097f5d92815dd4299d7b3e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ore >=1.3.0”Œ	r-reportr”Œr-rnifti”Œr-shades”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÁ™²º^hEJÕp% hFˆubh)”}”(hŒr-kaos”h#Œ0.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-kaos-0.1.2-r41hc72bb7e_1.tar.bz2”h+Œ 1d8d39bb99040ce1f40cc291d602dcbd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-kaos-0.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@d7bf687c2e08a2663428358530ac5168b386eda297cf06bf22adbb3a1b3a7d69”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-reshape2”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+»ŒIºhEM2µhFˆubh)”}”(hŒr-optextras”h#Œ	2019_12.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-optextras-2019_12.4-r41hc72bb7e_1.tar.bz2”h+Œ b6c8cd3f5ee14d1c6af47de27b4862cd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-optextras-2019_12.4-r41hc72bb7e_1.tar.bz2”h0Œ@b839c54702f0e94cece312324d495b1b400ec9e41dd520135d55be2190dfd43f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ*õ‡÷²hEJõ hFˆubh)”}”(hŒr-aws.s3”h#Œ0.3.22”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-aws.s3-0.3.22-r40hc72bb7e_0.tar.bz2”h+Œ 06fc74cf275672a2dd0b7278d42bc9b8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-aws.s3-0.3.22-r40hc72bb7e_0.tar.bz2”h0Œ@13514bdd1d203c2e94e422892139f38f7aaf9faf2e3049883880279f5c28fe22”h2NhNh3(Œr-aws.signature >=0.3.7”Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-curl”Œr-digest”Œr-httr”Œr-xml2 >1.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ¢m=a7LhEJ` hFˆubh)”}”(hŒgeant4-data-particlexs”h#Œ4.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ-geant4-data-particlexs-4.0-hd8ed1ab_0.tar.bz2”h+Œ ad1833ebbeba822adddc359175854ea1”h.Œ[https://conda.anaconda.org/conda-forge/noarch/geant4-data-particlexs-4.0-hd8ed1ab_0.tar.bz2”h0Œ@1857cf1af7b30c2d44f0aa691d134165fe0e88c1cfc767ac7bb76dae89d37b2d”h2NhNh3)h9hºh@ŒOTHER”hDGAØ{°W­¡ËhEJ5l~ hFˆubh)”}”(hŒpretty_errors”h#Œ1.2.25”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pretty_errors-1.2.25-pyhd8ed1ab_0.tar.bz2”h+Œ 3a4b684769e9bc189145c3e0c0f0f683”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pretty_errors-1.2.25-pyhd8ed1ab_0.tar.bz2”h0Œ@fe0b7d9c17a6343660858eeaca0ed04bb0febc6ef09b8866a8e18a7834582c5d”h2NhNh3Œcolorama”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGAØh›fr=qhEM IhFˆubh)”}”(hŒlibsoup-devel-cos7-ppc64le”h#Œ2.62.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ7libsoup-devel-cos7-ppc64le-2.62.2-ha826a6f_1103.tar.bz2”h+Œ 3fe952043b06a1ccdf8ebb7fcc1a48ea”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos7-ppc64le-2.62.2-ha826a6f_1103.tar.bz2”h0Œ@0aaf7ee706151f986694a447746c7882cdbc09f4989900fedac1f6ba9031bba2”h2NhNh3Œ$libsoup-cos7-ppc64le ==2.62.2 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ|EÅ¸hEJ‡9 hFˆubh)”}”(hŒr-wkb”h#Œ0.4_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-wkb-0.4_0-r41hc72bb7e_1.tar.bz2”h+Œ 77bbb9331378e05a24a7d0703a45bdff”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-wkb-0.4_0-r41hc72bb7e_1.tar.bz2”h0Œ@9ba75f7c60eb7594e1647dab154d8f33fc842de0776e5f0f282bcc1fc51ea75c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-sp”†”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÑËˆCC–hEJñ hFˆubh)”}”(hŒ	r-grobblr”h#Œ0.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-grobblr-0.2.1-r41hc72bb7e_1.tar.bz2”h+Œ daea370448a0c98d6bfa207fa7b1c97b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-grobblr-0.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@6f72334e9972ea0c1485439a0699acd2aa68b46603a10c0ca251305a4cc2e93f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-glue”Œr-gridextra”Œ
r-magrittr”Œr-png”Œr-purrr”Œr-rcurl”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒjà ÅhEJÓÉ hFˆubh)”}”(hŒnest-asyncio”h#Œ1.5.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'nest-asyncio-1.5.6-pyhd8ed1ab_0.tar.bz2”h+Œ 7b868f21adde0d9b8b38f9c16836589b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.5.6-pyhd8ed1ab_0.tar.bz2”h0Œ@594d240d8be933b6e47b78b786269cc89ffa34874544d9dbed1c6afc9213869b”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÎE	ÄœhEM&hFˆubh)”}”(hŒr-calibrate”h#Œ1.7.7”h%Œr40h6115d3f_0”h'K hhh(h)hŒ'r-calibrate-1.7.7-r40h6115d3f_0.tar.bz2”h+Œ 722f03b32be59ea48159335793f8ce4d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-calibrate-1.7.7-r40h6115d3f_0.tar.bz2”h0Œ@ba56c23d293537633195678a2fad165feefb3e19c2db8d53ae0e5e90ef8ec994”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×»D	hshEJ3¿ hFˆubh)”}”(hŒ	r-margins”h#Œ0.3.26”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-margins-0.3.26-r36hc72bb7e_0.tar.bz2”h+Œ b54e6cd854cb34c59406f9b711e06fe3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-margins-0.3.26-r36hc72bb7e_0.tar.bz2”h0Œ@dfebfa99ffde0af75a06b584ee58be3c7f80ab81085a90436ae7a5f26e05e508”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-mass”Œr-prediction >=0.3.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ†µÑxÕhEJÙÛ hFˆubh)”}”(hŒr-mccf1”h#Œ1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ!r-mccf1-1.1-r36h6115d3f_0.tar.bz2”h+Œ cc7576e37b84124569a4b7fd1c0c736c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mccf1-1.1-r36h6115d3f_0.tar.bz2”h0Œ@c21f60ae0e6609fa8aee25ba7d0a5468efd10cca038b9b99dd0c296a2d831063”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-rocr”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Í Ó^5?hEMcŽhFˆubh)”}”(hŒ incqueryserver-api-python-client”h#Œ0.24.0.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒBincqueryserver-api-python-client-0.24.0.post1-pyhd8ed1ab_0.tar.bz2”h+Œ 5ea5fe9fbc654f49de01db223f1cec9d”h.Œphttps://conda.anaconda.org/conda-forge/noarch/incqueryserver-api-python-client-0.24.0.post1-pyhd8ed1ab_0.tar.bz2”h0Œ@6601e400159c7fcaf38fe7e9d0c4b4ef6321592ca8c034e775921b0c5b2414d5”h2NhNh3(Œcertifi”Œpython ==2.7.*|>=3.4”Œpython-dateutil”Œ
six >=1.10”Œurllib3 >=1.15”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ·½Øå`hEJû’ hFˆubh)”}”(hŒ
r-subspace”h#Œ1.0.4”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-subspace-1.0.4-r41hc72bb7e_2.tar.bz2”h+Œ 5547b5a83ba2970e0ac56b16eb66e11c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-subspace-1.0.4-r41hc72bb7e_2.tar.bz2”h0Œ@289ca6fb86d24262a832ec4e60145478604ab1b6957138551de9404acfac4932”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colorspace >=1.0”Œr-ggvis >=0.4.2”Œr-rjava >=0.9”Œr-stringr >=1.0.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑþ`¬¼jhEJwA hFˆubh)”}”(hŒr-rmdpartials”h#Œ0.5.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-rmdpartials-0.5.8-r41hc72bb7e_0.tar.bz2”h+Œ a647478597cb07ade967d06c18db0505”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rmdpartials-0.5.8-r41hc72bb7e_0.tar.bz2”h0Œ@fe931b54731ce7340179430ace1cbe39aadfe073547e7d41d47da2591da2289b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-knitr”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÿt8´9hEMÎØhFˆubh)”}”(hŒ
r-cpgassoc”h#Œ2.60”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-cpgassoc-2.60-r42hc72bb7e_1.tar.bz2”h+Œ 5bfafa0d9ee45d70ff902aca780bb36f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cpgassoc-2.60-r42hc72bb7e_1.tar.bz2”h0Œ@c0d953521f3c3721e2d432e76cf86a079e3df7ef612337ec1e48caa0c67d0fe3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-nlme”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ“:Æ$ÝhEJt1 hFˆubh)”}”(hŒr-trekcolors”h#Œ0.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-trekcolors-0.1.3-r41hc72bb7e_1.tar.bz2”h+Œ 7babab6d17df91971bd59e58bdc77816”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-trekcolors-0.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@07e47b4589106717b676f5aa8858626396d2c13e419b3d91bb7ea4a218db36e2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ‡è_
=hEJy¸ hFˆubh)”}”(hŒr-gistr”h#Œ0.9.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-gistr-0.9.0-r36h6115d3f_0.tar.bz2”h+Œ 3e20fa04d20f1dd4258d7173ff39c97a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gistr-0.9.0-r36h6115d3f_0.tar.bz2”h0Œ@7febdb11d5589c870738e262fbc05ba55554f716270b0f7e324cba3d33cbefb5”h2NhNh3(Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œr-crul”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ
r-magrittr”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÈL2 1'hEJE hFˆubh)”}”(hŒr-treemapify”h#Œ2.5.5”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ(r-treemapify-2.5.5-r36hc72bb7e_0.tar.bz2”h+Œ ba1bf1707f49a3edbbf91b52d01a30c2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-treemapify-2.5.5-r36hc72bb7e_0.tar.bz2”h0Œ@e216611559341ca862a65d4e695d7dfdebe561e8cbfd66022269d2de51e3d609”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-ggfittext >=0.5.0”Œr-ggplot2 >=2.2.1”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×þ­¡ËhEJ@	 hFˆubh)”}”(hŒr-tkrgl”h#Œ0.9”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-tkrgl-0.9-r41hc72bb7e_1.tar.bz2”h+Œ cc92aef2c4cf8112672a17fca46592d7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-tkrgl-0.9-r41hc72bb7e_1.tar.bz2”h0Œ@0b326eba2b9cfa2a2026b6bb1edc2e66586141eeedced187ea22d1d8d6d0f00c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rgl >=0.100.38”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ,%ÔÜÌÍhEMmhFˆubh)”}”(hŒ
r-codemeta”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-codemeta-0.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 7ec03c51d6ec33486c4dc8964f4d3581”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-codemeta-0.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@b3cd61bccb08b719f44042e7d7839fe29e00d354ef5758edd7258a6f2439986c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-desc”Œr-jsonlite >=1.6”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¸òRñªhEJýÙ hFˆubh)”}”(hŒr-mlr3measures”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-mlr3measures-0.5.0-r41hc72bb7e_0.tar.bz2”h+Œ b741485934a4df0f91a600a08f4a3909”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3measures-0.5.0-r41hc72bb7e_0.tar.bz2”h0Œ@55c55fdcf6a609e8795a76da3fc3f681d9d9572af5ff86952cf238ab8032cf7f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-prroc”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ»a1@1'hEJÙƒ hFˆubh)”}”(hŒr-productplots”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-productplots-0.1.1-r42hc72bb7e_1.tar.bz2”h+Œ ea9d88f12bc529647854b4f1914e2a06”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-productplots-0.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@5dab9ed1a763db584406b973ba194e1cd7d0da0b9c86397f9e0a28067b10a94f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-plyr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑŽò(A‰hEJpë hFˆubh)”}”(hŒpint”h#Œ0.17”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒpint-0.17-pyhd8ed1ab_1.tar.bz2”h+Œ ea75a28aded8a60ce033b770befc8aff”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pint-0.17-pyhd8ed1ab_1.tar.bz2”h0Œ@7d87eee123085eeab11dc7b24de4b8b0ce795fdb6fb8bb2c0d8680e67f8519f4”h2NhNh3(Œimportlib_metadata”Œimportlib_resources”Œ	packaging”Œpython >=3.6”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØKÙ=¡ËhEJØŸ hFˆubh)”}”(hŒnss-softokn-cos6-x86_64”h#Œ3.14.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ4nss-softokn-cos6-x86_64-3.14.3-ha826a6f_1103.tar.bz2”h+Œ 143bb430799ecc5385f57131a4ddb8f2”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos6-x86_64-3.14.3-ha826a6f_1103.tar.bz2”h0Œ@095bfb6701e08c05e843bdb205f550abc816b938c1e79dcad39ca4128c176399”h2NhNh3(Œ nspr-cos6-x86_64 >=4.10.6 *_1103”Œ.nss-softokn-freebl-cos6-x86_64 >=3.14.3 *_1103”Œ$nss-util-cos6-x86_64 >=3.15.1 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ2¥Ô›¦hEJÇæ hFˆubh)”}”(hŒperses”h#Œ0.10.1”h%Œpyh8a188c0_0”h'K hhh(h)hŒ"perses-0.10.1-pyh8a188c0_0.tar.bz2”h+Œ d00a656db7b75565014925bfbabd2ff5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/perses-0.10.1-pyh8a188c0_0.tar.bz2”•      h0Œ@0e66ccb992d4edf639b4e7a3cd0af0ffdd12f620402b2f4c5605d6acf4ff524b”h2NhNh3(Œambertools >=19.11”Œarsenic”Œclick”Œdask”Œdask-jobqueue”Œ	dicttoxml”Œdistributed”Œfire”Œjoblib”Œmatplotlib-base”Œmdtraj”Œnetcdf4”Œnetworkx >=2.0”Œnumba”Œnumpy”Œopenff-toolkit >=0.9.0”Œopenmm >=7.6”Œopenmmforcefields”Œopenmmtools >=0.21.2”Œopenmoltools >=0.8.4”Œpandas”Œpymbar >=3.0.6,<4”Œpython >=3.6”Œpyyaml”Œscipy”Œseaborn”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ®>$=`BhEJÆl%hFˆubh)”}”(hŒr-optimr”h#Œ
2019_12.16”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-optimr-2019_12.16-r35h6115d3f_0.tar.bz2”h+Œ 2144ad8ed6f294b235f346f1476b36e3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimr-2019_12.16-r35h6115d3f_0.tar.bz2”h0Œ@7dc8356b36f02ce6c317bb84259b12f8916015bc8b920c841128c5806a2fd136”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ
r-numderiv”Œr-optextras”Œr-rcgmin”Œr-rvmmin”Œr-setrng”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×‡éÙë…hEJ3 hFˆubh)”}”(hŒr-assertive.sets”h#Œ0.0_3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ/r-assertive.sets-0.0_3-r40h6115d3f_1003.tar.bz2”h+Œ 20db90fa593ccc0fbd3001d4dc20eedc”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.sets-0.0_3-r40h6115d3f_1003.tar.bz2”h0Œ@e4ee937668842b6a28fece54aec92fd294795a55b363088d6180b40b015fbc04”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.0,<4.1.0a0”†”h9hºh@Œ
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pymdwizard”h#Œ2.0.4”h%Œpy_1”h'Khhh(h)hŒpymdwizard-2.0.4-py_1.tar.bz2”h+Œ 547e655b7a7f15be90d9218912651399”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pymdwizard-2.0.4-py_1.tar.bz2”h0Œ@917b50425f7224ab5aa6fd37e7e1164055930d1421f6c1d6cda37955999f44d2”h2NhNh3(Œ
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r-nsprcomp”h#Œ0.5.1_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-nsprcomp-0.5.1_2-r42hc72bb7e_2.tar.bz2”h+Œ c3a698a505e247596095362543a6067d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-nsprcomp-0.5.1_2-r42hc72bb7e_2.tar.bz2”h0Œ@acec77c6df0f3dca8b3ab388e4a1c89a7c2ceb2c38ebdb5cda8c1853526d1871”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒIê–éyhEJW3 hFˆubh)”}”(hŒmypy-boto3-logs”h#Œ1.24.36.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2mypy-boto3-logs-1.24.36.post1-pyhd8ed1ab_0.tar.bz2”h+Œ 7441056184e56602f7a26afb771cce1e”h.Œ`https://conda.anaconda.org/conda-forge/noarch/mypy-boto3-logs-1.24.36.post1-pyhd8ed1ab_0.tar.bz2”h0Œ@e676dbfae2bb44319526a0d5ff535082ac5006e42ae03b811bc9deef506e38ef”h2NhNh3Œbotocore”Œ
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hd4c1694_0”h'K hhh(h)hŒ1rb-jekyll-sass-converter-1.5.2-hd4c1694_0.tar.bz2”h+Œ 79cb2c1c9a4e1d288ef381e2d863032e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/rb-jekyll-sass-converter-1.5.2-hd4c1694_0.tar.bz2”h0Œ@09cb9848f55cef17aa75cdc768b6a430333d15ec3a667edaf2bab652a6a78936”h2NhNh3Œrb-sass >=3.4,<4”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ZìshEM31hFˆubh)”}”(hŒlibibverbs-devel-cos6-x86_64”h#Œ1.1.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8libibverbs-devel-cos6-x86_64-1.1.8-h9b0a68f_1105.tar.bz2”h+Œ cc3c089738f62d65ddaf36d1594eb3ae”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libibverbs-devel-cos6-x86_64-1.1.8-h9b0a68f_1105.tar.bz2”h0Œ@c040acd6553d494243e41dce81992b4b42b763d669b998b4b03e7b493e3cffef”h2NhNh3Œ%libibverbs-cos6-x86_64 ==1.1.8 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@Zi&—hEJa hFˆubh)”}”(hŒpims”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpims-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 987b4337c2bdbd86c2bc2517278a7cb4”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pims-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3b86cdea8e7e14f5be0cb8d2767f995494e0adfd7e7b14fd4d66b1ee27eb1129”h2NhNh3(Œimageio”Œjinja2”Œnumpy >=1.17”Œpillow”Œpython >=3.7”Œslicerator >=0.9.7”Œtifffile”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¤²O+çmhEJÚ hFˆubh)”}”(hŒnapari-lazy-openslide”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0napari-lazy-openslide-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7ebdc50c1c6b648d6d35c306bb5d95a4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/napari-lazy-openslide-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cc0e4c21f72b86043b8150f43892299aff102d833307643c42de80b12b798fdc”h2NhNh3(Œdask-core >=2.20.0”Œnapari-plugin-engine >=0.1.4”Œnumpy >=1.19”Œopenslide-python >=1.1.2”Œpython >=3.6”Œzarr >=0.2.4”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡Üjù&éhEMÍ+hFˆubh)”}”(hŒ	holoviews”h#Œ1.14.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%holoviews-1.14.9-pyhd8ed1ab_0.tar.bz2”h+Œ b1e973a87848f08639dda87b30f5ea8b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/holoviews-1.14.9-pyhd8ed1ab_0.tar.bz2”h0Œ@eb739fdad8a2ba19d3655048f4e8cfeba60682599a93a2c85d9b49bb4c6db304”h2NhNh3(Œbokeh >=1.1.0”Œcolorcet”Œmatplotlib-base >=2.2”Œnumpy >=1.0”Œ	packaging”Œpandas >=0.20.0”Œpanel >=0.8.0”Œparam >=1.9.3,<2.0”Œpython >=2.7”Œpyviz_comms >=0.7.4”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØž3ý˜1'hEJ½ƒ7 hFˆubh)”}”(hŒnspr-cos7-aarch64”h#Œ4.21.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ-nspr-cos7-aarch64-4.21.0-hdf0574f_102.tar.bz2”h+Œ a77916a358933c217471487f008a6da6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-aarch64-4.21.0-hdf0574f_102.tar.bz2”h0Œ@f88b80b12f2201556831138edc1199e8fb35806aa04cdb728c0928c093129bc1”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+W®hEJñ hFˆubh)”}”(hŒ	nbjuniper”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$nbjuniper-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 4187c53a79a80f954def3a20781c1a72”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/nbjuniper-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@82efc05d6ca3dda263654f730cf493b71d47bf1df1069d59464ee2de6ddce1ad”h2NhNh3Œmarkdown >=3.2.2,<4.0.0”Œpython >=3.6,<4.0”Œpyyaml >=5.3.1,<6.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÍâ°!hEM--hFˆubh)”}”(hŒr-secret”h#Œ1.1.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ$r-secret-1.1.0-r41h785f33e_0.tar.bz2”h+Œ 5165a4de06d88a1ef57cbc439f14bb91”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-secret-1.1.0-r41h785f33e_0.tar.bz2”h0Œ@469995bb738e1842e616aee9b6cd0cb53009449eb68a4dd05b98a2994041f061”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œ
r-jsonlite”Œ	r-openssl”Œr-rprojroot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓÿ×%ÒòhEJGG hFˆubh)”}”(hŒ
python-moa”h#Œ0.5.1”h%Œpy_1”h'Khhh(h)hŒpython-moa-0.5.1-py_1.tar.bz2”h+Œ c7bb73d09f4fe02d96263cb5040c3b14”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/python-moa-0.5.1-py_1.tar.bz2”h0Œ@21a42f7edb18ec37a740853e51bf503614ba46183adadce1a30c8d6c40d48379”h2NhNh3Œ
astunparse”Œgraphviz”Œpython >=3.5.*”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×O4ð_ïžhEM_hFˆubh)”}”(hŒ	gprof2dot”h#Œ
2019.11.30”h%Œpy_0”h'K hhh(h)hŒ!gprof2dot-2019.11.30-py_0.tar.bz2”h+Œ 9000d491cc90b7020b6422660d23cbe0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/gprof2dot-2019.11.30-py_0.tar.bz2”h0Œ@0a94344b0e6239f379b33f27e3cb9370b2ea876291e05d3c7bb12b456e2e34c6”h2NhNh3Œpython”…”h9h?h@ŒLGPL-2.1”hBŒLGPL”hDGA×¸Eº\¬hEMdshFˆubh)”}”(hŒface_recognition_models”h#Œ0.3.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ2face_recognition_models-0.3.0-pyh9f0ad1d_0.tar.bz2”h+Œ c2b3e463570b6509ca4ddd896904cf17”h.Œ`https://conda.anaconda.org/conda-forge/noarch/face_recognition_models-0.3.0-pyh9f0ad1d_0.tar.bz2”h0Œ@360d0c720272e69308509f606f2f2a2e1ccbfdf3d7367e03e4e6900faeb9a761”h2NhNh3Œpython”Œ
setuptools”†”h9h?h@ŒCC0-1.0”hBŒCC”hDGA×Ç$%ó¶hEJ,¸zhFˆubh)”}”(hŒgoogle-auth-oauthlib”h#Œ0.4.1”h%Œpy_1”h'Khhh(h)hŒ'google-auth-oauthlib-0.4.1-py_1.tar.bz2”h+Œ c89f4bab533fc9715633c828a689c47d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-0.4.1-py_1.tar.bz2”h0Œ@56064209d568026ffed28464afea4eccbc587d7265d925083e1709a7481ed575”h2NhNh3Œgoogle-auth”Œpython”Œrequests-oauthlib >=0.7.0”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×‡â}·PhEM–HhFˆubh)”}”(hŒ
r-smoother”h#Œ1.1”h%Œr42ha770c72_1003”h'Mëhhh(h)hŒ'r-smoother-1.1-r42ha770c72_1003.tar.bz2”h+Œ d63d3f0f8e2773ada829f764b017e729”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-smoother-1.1-r42ha770c72_1003.tar.bz2”h0Œ@d956de3434e6e51ff036bc3bff4ee23d79bb8fd39a6f987eb8ec4dbb939258e4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ttr >=0.22”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒK‡hEMDhFˆubh)”}”(hŒsession-info”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'session-info-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4fef7ecb219e639abbc58abe9258d78b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/session-info-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@495138888eb063ca17481ebb7d96f86c25f8704c8770d56bd98eed3bcadead7f”h2NhNh3Œpython >=3.6”Œstdlib-list”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ“Ã¶FhEMµ/hFˆubh)”}”(hŒr-shinytree”h#Œ0.2.7”h%Œr40h6115d3f_2”h'Khhh(h)hŒ'r-shinytree-0.2.7-r40h6115d3f_2.tar.bz2”h+Œ b6341b5d213590a3bc70b2bfa1fb4282”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinytree-0.2.7-r40h6115d3f_2.tar.bz2”h0Œ@c74f19b7f4ff12c6aff09e6c3086e50ee109d9aec723fd6f6eab0eeb11334dc8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-promises”Œr-shiny >=0.9.0”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬;-õ/hEJñý hFˆubh)”}”(hŒtqdm”h#Œ4.64.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ tqdm-4.64.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5526ff3f88f9db87bb0924b9ce575345”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tqdm-4.64.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d196e0c3a057a840147fa23d3d43eafd6b63258846bdafe8ac17f70b534f91bd”h2NhNh3Œcolorama”Œpython >=2.7”†”h9h?h@ŒMPL-2.0 or MIT”hBŒMOZILLA”hDGAØÄØwô›¦hEJF hFˆubh)”}”(hŒautobahn”h#Œ20.12.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%autobahn-20.12.3-pyhd8ed1ab_0.tar.bz2”h+Œ ee69f4e461326a85f3da3a1ba289d616”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/autobahn-20.12.3-pyhd8ed1ab_0.tar.bz2”h0Œ@b367a17805e7ca6647753e159a22ea9d0fbcf523d2b51dc9462b3f89f56a1341”h2NhNh3(Œcryptography >=2.9.2”Œhyperlink >=20.0.1”Œpython >=3.6”Œtxaio >=20.4.1”t”h9h?h@ŒMIT”hBŒMIT”hDGA×÷©kï+hEJ&´ hFˆubh)”}”(hŒr-vpc”h#Œ1.2.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ!r-vpc-1.2.2-r36hc72bb7e_0.tar.bz2”h+Œ f2c192b88ff425f5d537f2aa0ec81df5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vpc-1.2.2-r36hc72bb7e_0.tar.bz2”h0Œ@b52f18e85a61fa38b54e9e1d94266ea6b83d0c20a4a9984e03761b4a8e60ab99”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-classint”Œr-dplyr”Œ	r-ggplot2”Œr-mass”Œr-readr”Œ	r-stringr”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÿ4õ¾E¢hEJ?‰ hFˆubh)”}”(hŒr-phylogram”h#Œ2.1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-phylogram-2.1.0-r35h6115d3f_0.tar.bz2”h+Œ 3ef27d9db0c45753645e1c66bce07ea0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-phylogram-2.1.0-r35h6115d3f_0.tar.bz2”h0Œ@140aa8344324f45c4a927b2bccc25ed11bf836c900f18b1e7ed9b348b757adda”h2NhNh3Œr-ape >=4.0”Œr-base >=3.5,<3.6.0a0”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×®v2/ hEJK hFˆubh)”}”(hŒtypes-backports”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*types-backports-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ fba206cdbc05c70924d22b4eb62ca7a5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/types-backports-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@d19436f0069590f43f2f0b0c352574c3786c0a7096b14c803f62df90553c1115”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØ3-„IºhEMä)hFˆubh)”}”(hŒsysroot-cos7-ppc64le”h#Œ2.17”h%Œh23d7e6c_12”h'Khhh(h)hŒ-sysroot-cos7-ppc64le-2.17-h23d7e6c_12.tar.bz2”h+Œ a0cc5619a3275c18da1211f12858ef51”h.Œ[https://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-ppc64le-2.17-h23d7e6c_12.tar.bz2”h0Œ@5b2bef7e439ff052fe89ad358cda43b1812664695b48eca828099b8c107e11cf”h2NhNh3Œsysroot_linux-ppc64le 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ=°áë…hEM7hFˆubh)”}”(hŒturfpy”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!turfpy-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 596ffa8f7ecf3ac57e0bb4ea01cd8173”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/turfpy-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@0f7d57e3051ae3e003496872beec76f344ae7c054bd24cf508b3fdf5e7e8ebec”h2NhNh3(Œgeojson”Œnumpy”Œpython >=3.6”Œscipy”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ>þZÃ¥ãhEMÍŒhFˆubh)”}”(hŒ
r-striprtf”h#Œ0.5.2”h%Œr40h1b71b39_1”h'Khhh(h)hŒ&r-striprtf-0.5.2-r40h1b71b39_1.tar.bz2”h+Œ 539afc59e033267c5a80cb7af7350521”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-striprtf-0.5.2-r40h1b71b39_1.tar.bz2”h0Œ@fddfda85381cd290e820418c99331c8b27aa45a23d107b36953c80059ec4e4ae”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
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hc42de5b_0”h'K hhh(h)hŒ%rb-pathutil-0.16.2-hc42de5b_0.tar.bz2”h+Œ d0ff4c651b46857fb94647fddcf7353c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/rb-pathutil-0.16.2-hc42de5b_0.tar.bz2”h0Œ@114d21bd0afd53461f077f8d7fdf12924d20e285585bd49a5508339ecc70c6a9”h2NhNh3Œ rb-forwardable-extended >=2.6,<3”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ZYž$ÝhEMêshFˆubh)”}”(hŒr-functional”h#Œ0.6”h%Œr40_1002”h'Mêhhh(h)hŒ!r-functional-0.6-r40_1002.tar.bz2”h+Œ 88bb9613b39fe226557c979d8ab7538b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-functional-0.6-r40_1002.tar.bz2”h0Œ@492553bbf77b7c412e97ac21628b1061d96483246241f9e4980d2b2574013aa0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×¬ ÄœhEM·yhFˆubh)”}”(hŒ	r-selectr”h#Œ0.4_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-selectr-0.4_2-r42hc72bb7e_2.tar.bz2”h+Œ 6b5a1e4ca563e72b80a982c6ae9394b5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-selectr-0.4_2-r42hc72bb7e_2.tar.bz2”h0Œ@9e73d018c667501f1667716b9b342220bbe88f143001424dabf70d05c2e6b7ad”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r6”Œ	r-stringr”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÐPÒbhEJ; hFˆubh)”}”(hŒ	r-dummies”h#Œ1.5.6”h%Œr351h6115d3f_0”h'K hhh(h)hŒ&r-dummies-1.5.6-r351h6115d3f_0.tar.bz2”h+Œ 0e14527abadbbc33a4ce109b1fa0e99e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dummies-1.5.6-r351h6115d3f_0.tar.bz2”h0Œ@540dc589662a78970d6b0ddc74839f0352ecaff00e7650382a8129c8d23c11a7”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×%ApÄœhEM´œhFˆubh)”}”(hŒ
r-barcoder”h#Œ0.1.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-barcoder-0.1.7-r42hc72bb7e_1.tar.bz2”h+Œ 2ae47c7ffc4fd587789a7ced1f8973e6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-barcoder-0.1.7-r42hc72bb7e_1.tar.bz2”h0Œ@daf3147f75e9dce031e38904e1a3d579a2a6d8bda5d3cab5f655835c4765562a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-dt >=0.3”Œr-miniui >=0.1.1”Œr-qrcode”Œr-rstudioapi”Œr-shiny >=0.13”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ©PÞ{hEJ“‘ hFˆubh)”}”(hŒr-venn”h#Œ1.11”h%Œr42ha770c72_1”h'Khhh(h)hŒ!r-venn-1.11-r42ha770c72_1.tar.bz2”h+Œ 6b537c220d2c8abbfb57b8577a6c8220”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-venn-1.11-r42ha770c72_1.tar.bz2”h0Œ@96223a511b7131bbab96cf74cad90f230f9799dab9e15e68ea0199e83c7fba22”h2NhNh3Œr-admisc >=0.5”Œr-base >=4.2,<4.3.0a0”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑÌN‡+hEJuõ hFˆubh)”}”(hŒr-virtualspecies”h#Œ1.5.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-virtualspecies-1.5.1-r41hc72bb7e_1.tar.bz2”h+Œ ba6464f5ee84f2f5af34d38c5d00dd1b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-virtualspecies-1.5.1-r41hc72bb7e_1.tar.bz2”h0Œ@795a0c80c5001c1072020d5cd047639b67ab684c0bd551eb95757420c7db1da6”h2NhNh3(Œr-ade4”Œr-base >=4.1,<4.2.0a0”Œr-raster”Œr-rworldmap”Œr-sp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑÌ=ÀõÃhEJoó hFˆubh)”}”(hŒ	gmshmodel”h#Œ1.0.15”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%gmshmodel-1.0.15-pyhd8ed1ab_0.tar.bz2”h+Œ 7ce3951aae52ce8f8b13b1f440708bc7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/gmshmodel-1.0.15-pyhd8ed1ab_0.tar.bz2”h0Œ@43962af25dc75ea5eaebbc49a2563934810d31cff83dd4dc0fdb8ad1b59ddab0”h2NhNh3(Œ
meshio >=4”Œnumpy”Œpython >=3.5”Œpython-gmsh”Œpythonocc-core >=7.4”Œpyvista >=0.24.1”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×ñ7ÜzñªhEMiëhFˆubh)”}”(hŒmffpy”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ mffpy-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 23617c36dd287de242041d1910c9ac36”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/mffpy-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@86ffe4a56c6c3705627f900b95fff1f3ac6fd0c0c453b49fbf9e82308083c3d7”h2NhNh3(Œdeprecated >=1.2.12”Œlxml >=4.8.0”Œnumpy >=1.15.1”Œpython >=3.6”Œpytz >=2019.2”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÙr÷ÏhEJ‚› hFˆubh)”}”(hŒr-learnbayes”h#Œ2.15.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ,r-learnbayes-2.15.1-r41hc72bb7e_1003.tar.bz2”h+Œ 205fdef439c3dc14e9c944acd38661c7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-learnbayes-2.15.1-r41hc72bb7e_1003.tar.bz2”h0Œ@a7ed0c39da94be84ae2aaf694ed441b14576ae0cef89da74a2e3be0ef513de61”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¢tg²hEJÐ‹ hFˆubh)”}”(hŒ
r-ggcharts”h#Œ0.2.1”h%Œr40h6115d3f_0”h'K hhh(h)hŒ&r-ggcharts-0.2.1-r40h6115d3f_0.tar.bz2”h+Œ c329df98585d553ffb31ccb6a90e4ab9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggcharts-0.2.1-r40h6115d3f_0.tar.bz2”h0Œ@f21f5db2f5dad62913ac194b38201bb9ffa9590cc30a9ae9e44c24040fe2f559”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-patchwork”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGA×±!†!™šhEJáC hFˆubh)”}”(hŒlibnl-cos7-x86_64”h#Œ1.1.4”h%Œh2da7399_1100”h'MLhhh(h)hŒ-libnl-cos7-x86_64-1.1.4-h2da7399_1100.tar.bz2”h+Œ 6bd129f284b1ad6fba04344ef974de17”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-x86_64-1.1.4-h2da7399_1100.tar.bz2”h0Œ@f6d3d31c8a5235f21163ae6d332575ff04b803de0021ab463a810056dddbdb89”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Äyv	ûçhEJÂO hFˆubh)”}”(hŒ+dtool_lookup_server_dependency_graph_plugin”h#Œ0.1.5”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒFdtool_lookup_server_dependency_graph_plugin-0.1.5-pyhd8ed1ab_1.tar.bz2”h+Œ 81b10b898b6013f71845709855556f3e”h.Œthttps://conda.anaconda.org/conda-forge/noarch/dtool_lookup_server_dependency_graph_plugin-0.1.5-pyhd8ed1ab_1.tar.bz2”h0Œ@0267676578cdc927988dba4aa2c74b558d64c79b76ad3d99ce38dd1ceb246918”h2NhNh3Œdtool_lookup_server >=0.17.2”Œdtoolcore >=3.17.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØM•^@“uhEM¼:hFˆubh)”}”(hŒlibxrandr-devel-cos7-ppc64le”h#Œ1.5.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8libxrandr-devel-cos7-ppc64le-1.5.1-hdf0574f_1102.tar.bz2”h+Œ 5b0c414959bfe6244632c275cea18ca5”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos7-ppc64le-1.5.1-hdf0574f_1102.tar.bz2”h0Œ@26197b327911659a861d5b4fdc93018317b8cbdeb55e2ab2bd12108564746daf”h2NhNh3Œ%libxrandr-cos7-ppc64le ==1.5.1 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ùþ—hEMa:hFˆubh)”}”(hŒr-gistr”h#Œ0.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-gistr-0.9.0-r41hc72bb7e_0.tar.bz2”h+Œ 55bb96710571dc810b3fb23608a7ecad”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gistr-0.9.0-r41hc72bb7e_0.tar.bz2”h0Œ@63121d2e8e4ea4b6a520d0c6e37d1888dd47c6e864932b318a9f822bb7c1c0c1”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-crul”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×LÍ ùÊÁhEMåhFˆubh)”}”(hŒsystemd-libs-cos7-ppc64le”h#Œ219”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2systemd-libs-cos7-ppc64le-219-h9d98e8f_104.tar.bz2”h+Œ 23ba69c682b2d1383b72da12310b8305”h.Œ`https://conda.anaconda.org/conda-forge/noarch/systemd-libs-cos7-ppc64le-219-h9d98e8f_104.tar.bz2”h0Œ@31fb2c6c3f4b0184a9e06e217e3b863669384f5385287dcc4fff5170ee087f2c”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT”hBŒLGPL”hDGA×Ø™7ÔÌÍhEJóG hFˆubh)”}”(hŒtorch-fidelity”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)torch-fidelity-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ f6ea81eb127fdd5ad98a51972d5088fc”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/torch-fidelity-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@67e7d6e0e9377a59bf02535f3dba699472ed756360756f085acd16337bce2d90”h2NhNh3(Œnumpy”Œpillow”Œpython >=3.6”Œpytorch”Œscipy”Œtorchvision”Œtqdm”t”h9h?h@Œ
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r-jsonlite”†”h6Œr-tidyr >=0.8.0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ¯4ÃC–hEJà”
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r-alluvial”h#Œ0.1_2”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ)r-alluvial-0.1_2-r40ha770c72_1002.tar.bz2”h+Œ 96ef973bf004cd0b4e07bb2712cef11c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r40ha770c72_1002.tar.bz2”h0Œ@d2f5bc6a89270f10f6473841e5a8b561706d3efadc9da73cc1d0fcdf423d7fb1”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+wÎ$ÝhEJ hFˆubh)”}”(hŒhiveplot”h#Œ0.1.8.4”h%Œpy_1”h'Khhh(h)hŒhiveplot-0.1.8.4-py_1.tar.bz2”h+Œ 3e45de19c7eb488e108f1cf56dbfdcdb”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/hiveplot-0.1.8.4-py_1.tar.bz2”h0Œ@e099615a57ffc4b84c5afb6201a06593330907c58eb262a9e175c70c701e55ed”h2NhNh3Œ
matplotlib”Œnumpy”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐr¶n˜hEMÃhFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-ppc64le”h#Œ1.2.2”h%Œha826a6f_103”h'Kghhh(h)hŒ;libxscrnsaver-devel-cos7-ppc64le-1.2.2-ha826a6f_103.tar.bz2”h+Œ cf3135e51a310aa31c48a43984484d99”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-ppc64le-1.2.2-ha826a6f_103.tar.bz2”h0Œ@fbbff72774aca2efd838819eff8f3486b93869fc4017f6c51e66e3de0815f847”h2NhNh3Œ(libxscrnsaver-cos7-ppc64le ==1.2.2 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0¼í‘hEMÎ5hFˆubh)”}”(hŒemcee”h#Œ2.2.1”h%Œpyh24bf2e0_4”h'Khhh(h)hŒ emcee-2.2.1-pyh24bf2e0_4.tar.bz2”h+Œ cb4fadc31ac42d101fb3512d34b691ee”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/emcee-2.2.1-pyh24bf2e0_4.tar.bz2”h0Œ@da71f83f5b030b4ddeacf6649eacab1d7531fac2e6c8111cfbb332dc550b1e0e”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÓU…ÒòhEMKYhFˆubh)”}”(hŒr-snpls”h#Œ1.0.27”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-snpls-1.0.27-r40hc72bb7e_0.tar.bz2”h+Œ 699bb85e5be4eb3c9b445c74ed8d9c58”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-snpls-1.0.27-r40hc72bb7e_0.tar.bz2”h0Œ@5ebd822f4296c69cc4d7db44687e59fb45569197d8d0abc937fbef89356c92c4”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-clickr”Œr-future”Œr-future.apply”Œ	r-ggplot2”Œ	r-ggrepel”Œr-ks”Œr-mass”Œr-matrix”Œ	r-pbapply”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×öÅÎéÊÁhEJPª hFˆubh)”}”(hŒr-dbplot”h#Œ0.3.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-dbplot-0.3.3-r36h6115d3f_1.tar.bz2”h+Œ b5e94a1d162a50ebee8b7ae5eb800676”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dbplot-0.3.3-r36h6115d3f_1.tar.bz2”h0Œ@b9acb8c317b724dd4f3ecec6d8afbd637521af8244f8b8b3290ccb979462501f”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr >=0.7”Œ	r-ggplot2”Œr-purrr”Œr-rlang >=0.4”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬æPÒ\hEJ‘˜ hFˆubh)”}”(hŒr-drawer”h#Œ0.2.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-drawer-0.2.0.1-r40hc72bb7e_0.tar.bz2”h+Œ 6c1ee2a93c16d2eb3518b6ca76918aeb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-drawer-0.2.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@e3ad676af23f2c8f281b7be1fe72698a464dd84e6806cdd0222527ad75b4d557”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bsplus”Œr-glue”Œr-htmltools”Œ
r-magrittr”Œr-shiny”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÀŸ	hshEJËO hFˆubh)”}”(hŒ
krbcontext”h#Œ0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$krbcontext-0.10-pyhd8ed1ab_0.tar.bz2”h+Œ 0caa4fe81b53949b9dc05be6b856bb4d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/krbcontext-0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@dec285a39840fae64785026ead69b5dafc9db40c418f0acaebe38350de9e7663”h2NhNh3Œ__unix”Œpython >=3.6”Œpython-gssapi”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØp;Ñã¶FhEM^hFˆubh)”}”(hŒsktime”h#Œ0.10.0”h%Œpyh7d9fe89_0”h'K hhh(h)hŒ"sktime-0.10.0-pyh7d9fe89_0.tar.bz2”h+Œ 39c6158a77fa130bbb9b67836120e7a3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sktime-0.10.0-pyh7d9fe89_0.tar.bz2”h0Œ@ca814277aabf4b013c2729ac4cdc7ac48e5b536491e067b7c2c1c81b3851cd01”h2NhNh3(Œdeprecated >=1.2.13”Œnumba >=0.50,<0.55”Œnumpy >=1.21.5,<2.0a0”Œpandas >=1.1.0,<1.5”Œpython”Œscikit-learn >=0.24.0”Œstatsmodels >=0.12.1”t”h6(Œpmdarima >=1.8.0,!=1.8.1”Œmatplotlib-base >=3.3.2”Œprophet >=1.0”Œhcrystalball >=0.1.9”Œtsfresh >=0.17.0”Œstumpy >=1.5.1”Œscikit-posthocs >=0.6.5”Œseaborn >=0.11.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…ôç hEJVHT hFˆubh)”}”(hŒr-ibreakdown”h#Œ2.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-ibreakdown-2.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 8805104c26c315f87261738851ebf47c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ibreakdown-2.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@869207b8fb49c3bb0adafdce9aacca0ef287ff0a0641ae655dc8bf325184310c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ‡lj~úhEJæÇ hFˆubh)”}”(hŒr-kpeaks”h#Œ1.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-kpeaks-1.1.0-r40hc72bb7e_1.tar.bz2”h+Œ cd3c927129fddb296fd37eccbe67bdfb”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-kpeaks-1.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@b840aecc120e422d0c0c5bc35f35c64ab272a0025dd9863c932148c05d7ef8b6”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ*õ¿ì9XhEJÙd hFˆubh)”}”(hŒexpat-cos7-aarch64”h#Œ2.1.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-expat-cos7-aarch64-2.1.0-h9d98e8f_104.tar.bz2”h+Œ 93fa5d001be8fba4e77e8e2f642343d7”h.Œ[https://conda.anaconda.org/conda-forge/noarch/expat-cos7-aarch64-2.1.0-h9d98e8f_104.tar.bz2”h0Œ@020b7746bbd29411dfb91d35f6cb1838747e7fbe5775369856e914d1be895825”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy¦¯
=hEJÐM hFˆubh)”}”(hŒmesa-libegl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ:mesa-libegl-devel-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h+Œ ebca0ff4900d4d08c27cad8abe96f801”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@f64b38f47a27c1e702b45590e230f8418570b5f38b56b20f1bec653558ad6a36”h2NhNh3Œ*mesa-khr-devel-cos7-ppc64le ==18.3.4 *_105”Œ'mesa-libegl-cos7-ppc64le ==18.3.4 *_105”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@9½ó¶hEMXNhFˆubh)”}”(hŒcairo-cos7-ppc64le”h#Œ1.15.12”h%Œha826a6f_103”h'Kghhh(h)hŒ/cairo-cos7-ppc64le-1.15.12-ha826a6f_103.tar.bz2”h+Œ f46af8b604fd610ac80a3d75cf183204”h.Œ]https://conda.anaconda.org/conda-forge/noarch/cairo-cos7-ppc64le-1.15.12-ha826a6f_103.tar.bz2”h0Œ@5f40a9f47cf74ed5db07bcca7861cf4ecee1bbe697fd581b45dec24af185dba9”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Æ/’‰XhEJK¥ hFˆubh)”}”(hŒexpat-devel-cos6-x86_64”h#Œ2.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3expat-devel-cos6-x86_64-2.0.1-h9b0a68f_1105.tar.bz2”h+Œ adf3f3bf92d121485291d2ce8e00d342”h.Œahttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos6-x86_64-2.0.1-h9b0a68f_1105.tar.bz2”h0Œ@714f18594077c442d79f7e0a0d722924ad3fd5b9d113d70c8c22d4f4fa87494a”h2NhNh3Œ expat-cos6-x86_64 ==2.0.1 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[Q*ñªhEJQ	 hFˆubh)”}”(hŒangreal”h#Œ0.7.0”h%Œpy_0”h'K hhh(h)hŒangreal-0.7.0-py_0.tar.bz2”h+Œ e098557aa5f1d65fced3b8cf60ec4b53”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/angreal-0.7.0-py_0.tar.bz2”h0Œ@2b6e9f45c67dc81081414bd53cd1fe8abdb88a7d15bfb3c79549360c44853135”h2NhNh3(Œclick >=6.0”Œcookiecutter >=1.6.0,<2.0.0”Œdocker-py >=3.4.1,<4.0.0”Œdoit >=0.31.1”Œfuture”Œpygithub >=1.43.7,<2.0.0”Œ
python >=3”Œpython-gitlab >=1.5.1,<2.0.0”Œsemver >=2.8.1”Œvirtualenv >=16.0.0,<17.0.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×±ø*–ffhEMùœhFˆubh)”}”(hŒlibibverbs-cos7-ppc64le”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ2libibverbs-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h+Œ e50c038072951611ba7f8fc15d33e2a4”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h0Œ@55a334901740f3bc335dbd9810dda6c2821f5d1e654325e9d638b66a9c505c23”h2NhNh3Œ$rdma-core-cos7-ppc64le ==22.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,Í»çmhEJ‹ hFˆubh)”}”(hŒpymcr”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pymcr-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ d2b18e0ee94a9b0762ccd461022b6de7”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pymcr-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@24ddaa6f3d3666e7b118df263f7b1992d8f496cf97763162e03f62def0b06691”h2NhNh3(Œnumpy”Œ
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tensorflow”Œtorchvision”Œtqdm”Œurllib3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ØüVhEJbIÍ hFˆubh)”}”(hŒmplexporter”h#Œ0.0.1”h%Œpy_3”h'Khhh(h)hŒmplexporter-0.0.1-py_3.tar.bz2”h+Œ 765c29d9bf89ea2363b4b6b4d7b70d99”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/mplexporter-0.0.1-py_3.tar.bz2”h0Œ@edcb9df3263a9214972b4e4c003edfaaee249622545972eb82405622743762dc”h2NhNh3Œmatplotlib-base”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×’¿D‹DhEM*FhFˆubh)”}”(hŒr-optimparallel”h#Œ1.0_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-optimparallel-1.0_2-r42hc72bb7e_1.tar.bz2”h+Œ 624240723636006eb9c490b5d7fa1192”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-optimparallel-1.0_2-r42hc72bb7e_1.tar.bz2”h0Œ@93b3fe3a713add3956a99f98e3c17b91f3df20ceced861638b4e5ba41c3bb814”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐÎhbhEJ„T hFˆubh)”}”(hŒ xcb-util-image-devel-cos6-x86_64”h#Œ0.4.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ;xcb-util-image-devel-cos6-x86_64-0.4.0-h9b0a68f_105.tar.bz2”h+Œ 7c1b1c07587a1e72b5e8569a4faeba72”h.Œihttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-devel-cos6-x86_64-0.4.0-h9b0a68f_105.tar.bz2”h0Œ@b1501a7a3bb894a813a400c39c2636dcd50a1ffef166b720fa9b49bfa7a0ca90”h2NhNh3Œ(xcb-util-image-cos6-x86_64 ==0.4.0 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØu#ÞzŸ¾hEMY7hFˆubh)”}”(hŒlibidl-cos7-ppc64le”h#Œ0.8.14”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libidl-cos7-ppc64le-0.8.14-h9d98e8f_1104.tar.bz2”h+Œ 0a20adfcb9a63b6581c662cdac46a5a2”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libidl-cos7-ppc64le-0.8.14-h9d98e8f_1104.tar.bz2”h0Œ@76810799bb0f57966772c592e983f50edf3dbeeddd29a4e7d322745269bdcf90”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éy¾XhEJÝy hFˆubh)”}”(hŒrb-ruby_dep”h#Œ1.5.0”h%Œ
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Apache-2.0”hBŒAPACHE”hDGAØ¿ó?IG®hEJê<Ï hFˆubh)”}”(hŒ
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r-shinyace”h#Œ0.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-shinyace-0.4.2-r41hc72bb7e_0.tar.bz2”h+Œ 78159c7071f2467fa54e40446f3e65b9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-shinyace-0.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@e3209abb17dca3d58a8fcf97df75f168a66a4992b4a3be0c155e06dfe95e9f09”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
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GPL (>= 3)”hBŒGPL3”hDGA×Èá?¹‰7hEJš/ hFˆubh)”}”(hŒtemmeta”h#Œ0.0.6”h%Œpyh44b312d_1”h'Khhh(h)hŒ"temmeta-0.0.6-pyh44b312d_1.tar.bz2”h+Œ b0eba2118444386f4e01a95b33f58d81”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/temmeta-0.0.6-pyh44b312d_1.tar.bz2”h0Œ@6632871535a0ec339e6ffd59e6538f82f0d8180c06702e4a614b2e3f1d6a6a3b”h2NhNh3(Œhyperspy”Œmatplotlib-base”Œmatplotlib-scalebar”Œnumpy”Œopenpyxl”Œpandas”Œpillow”Œpython”Œscipy”Œtqdm”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØXÒÀ“uhEJ¬* hFˆubh)”}”(hŒschema”h#Œ0.7.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!schema-0.7.5-pyhd8ed1ab_0.tar.bz2”h+Œ b89f3444d2351f0cfce6c635f58ef1c4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/schema-0.7.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d751b071f45394ded6c7c826e974fac7731b901383790ce36af291c8cf29dc1b”h2NhNh3Œcontextlib2 0.5.5”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØjî·l‹hEMßMhFˆubh)”}”(hŒr-varimp”h#Œ0.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-varimp-0.4-r40hc72bb7e_0.tar.bz2”h+Œ 530b7a69e5e42456e44742229888cc14”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-varimp-0.4-r40hc72bb7e_0.tar.bz2”h0Œ@297519e78feccca13750b82829ddf5b38b3b8c5f65b05d6bb1ccd85889f71a8e”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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r-quadprog”Œr-sel”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÑiYûçhEJ¢> hFˆubh)”}”(hŒr-survivalsvm”h#Œ0.0.5”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-survivalsvm-0.0.5-r36h6115d3f_0.tar.bz2”h+Œ e1c9e564421506ccc71fe78b486d4869”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survivalsvm-0.0.5-r36h6115d3f_0.tar.bz2”h0Œ@257f167f404dd1814bf2af227aacb1264bfbf2f47a327748bb9093a4335df164”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-hmisc”Œ	r-kernlab”Œr-matrix”Œr-pracma”Œ
r-quadprog”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯Â0-ÂhEJ—Ê hFˆubh)”}”(hŒbagit”h#Œ1.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ bagit-1.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ fb50f22b353ed3a12f5e8b7c01b58832”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/bagit-1.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7558574f5373a912975452a7f8fea19ef3a078a2795663bd4f6b52b8bfe3cc7c”h2NhNh3Œ
python >=3”…”h9h?h@ŒLicenseRef-Public-Domain”hDGAØÅ L‹DhEM”bhFˆubh)”}”(hŒ
camelot-py”h#Œ0.10.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&camelot-py-0.10.1-pyhd8ed1ab_0.tar.bz2”h+Œ 713449e3ffa13d110616e03e0aca9727”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/camelot-py-0.10.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4b135f6023f9add2ad1522ee916c223aab0be0dd33422843ef67d0fed5624b62”h2NhNh3(Œchardet >=3.0.4”Œclick >=6.7”Œghostscript”Œmatplotlib-base >=2.2.3”Œnumpy >=1.13.3”Œopencv >=3.2.0”Œopenpyxl >=2.5.8”Œpandas >=0.23.4”Œpdfminer.six >=20200726”Œpdftopng”Œpycryptodome”Œpypdf2 >=1.26.0”Œ
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
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GPL (>= 3)”hBŒGPL3”hDGA×«þ
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GPL (>= 2)”hBŒGPL3”hDGAÖþú?£×
hEJ+p hFˆubh)”}”(hŒlibxau-devel-cos7-aarch64”h#Œ1.0.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libxau-devel-cos7-aarch64-1.0.8-ha826a6f_1103.tar.bz2”h+Œ c7cc980fb5436975c68b52fbe3c8e618”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos7-aarch64-1.0.8-ha826a6f_1103.tar.bz2”h0Œ@5a7008043dd7be8fd9aaa590e223a63c507c08c793417e90b6577b73b0bb0a78”h2NhNh3Œ"libxau-cos7-aarch64 ==1.0.8 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1­“"ÑhEM6&hFˆubh)”}”(hŒr-clickr”h#Œ0.8.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-clickr-0.8.3-r40hc72bb7e_0.tar.bz2”h+Œ 427fb0c823667450bebb1bf87d44ba92”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-clickr-0.8.3-r40hc72bb7e_0.tar.bz2”h0Œ@c9c88be54f85cabdab7e0d2f2b4c83950757ab397584c964f2ed76156d5bc7c7”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-beeswarm”Œr-boot”Œr-flextable”Œr-lme4”Œ
r-lmertest”Œ	r-officer”Œr-stringdist”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØËïô=ÒòhEJÉÓ hFˆubh)”}”(hŒlibbonobo-devel-cos7-aarch64”h#Œ2.32.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9libbonobo-devel-cos7-aarch64-2.32.1-h9d98e8f_1104.tar.bz2”h+Œ 5df48555238bdf577e891715a5628916”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos7-aarch64-2.32.1-h9d98e8f_1104.tar.bz2”h0Œ@4867cf708b1eb1f84cc355fdff6f3414cb000a116c5a3bd8431e3e0c74be2add”h2NhNh3(Œ&libbonobo-cos7-aarch64 ==2.32.1 *_1104”Œ*libxml2-devel-cos7-aarch64 >=2.4.21 *_1104”Œ(orbit2-devel-cos7-aarch64 >=2.7.5 *_1104”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×ÉžvÉhEJ§° hFˆubh)”}”(hŒr-mosaic”h#Œ1.8.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-mosaic-1.8.4.2-r41hc72bb7e_1.tar.bz2”h+Œ 3c1a9c70e2541d35a1dad1fe65b5593d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mosaic-1.8.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@4459292f1a568cb9a5d4188726380f53575abf86e377b8abc12743fc3d799c4f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr”Œ
r-ggdendro”Œr-ggformula”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-ggridges”Œ
r-ggstance”Œr-glue”Œr-gridextra”Œr-lattice >=0.20_21”Œr-latticeextra”Œ	r-leaflet”Œr-mass”Œr-matrix”Œr-mosaiccore >=0.7.0”Œr-mosaicdata”Œr-readr”Œr-rlang >=0.4.7”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓöôýôhEJh¡0 hFˆubh)”}”(hŒcups-libs-cos6-x86_64”h#Œ1.4.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1cups-libs-cos6-x86_64-1.4.2-h9b0a68f_1105.tar.bz2”h+Œ 6e4c992bff70a0c90fbce74646f0f101”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos6-x86_64-1.4.2-h9b0a68f_1105.tar.bz2”h0Œ@a79933374ddf077404a3e771f20bb9d0821502a81b6123b4b4740d968846030e”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@WQó…hEJ› hFˆubh)”}”(hŒxontrib-pipeliner”h#Œ0.3.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ,xontrib-pipeliner-0.3.2-pyh9f0ad1d_0.tar.bz2”h+Œ 62050fe179d93c6aee7a2aa9e17db6d6”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/xontrib-pipeliner-0.3.2-pyh9f0ad1d_0.tar.bz2”h0Œ@867d0e689d5550089b781b004a9a98627c932bd2281aa90fd6553b29df89a415”h2NhNh3Œpython”Œsix”Œxonsh”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ã.¡ƒ33hEMšOhFˆubh)”}”(hŒr-ids”h#Œ1.0.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ!r-ids-1.0.1-r40hc72bb7e_1.tar.bz2”h+Œ 914aff91ca49d36aeeb5ad0a5001ef25”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ids-1.0.1-r40hc72bb7e_1.tar.bz2”h0Œ@64246032b90a817e16004df03479e7fd9429dda41fb9c370d4549dc805f8f4a9”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-openssl”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ*â`Íp¤hEJá÷ hFˆubh)”}”(hŒlibuuid-devel-cos7-aarch64”h#Œ2.23.2”h%Œha826a6f_103”h'Kghhh(h)hŒ6libuuid-devel-cos7-aarch64-2.23.2-ha826a6f_103.tar.bz2”h+Œ 56f8370914801fdc7b147d64a7f66899”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-aarch64-2.23.2-ha826a6f_103.tar.bz2”h0Œ@cc0de0086b47ac4c2a1d37c756e2e92f93473c00ecfa92cf574b0760b57e8660”h2NhNh3Œ#libuuid-cos7-aarch64 ==2.23.2 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ{MŸ
=hEMRXhFˆubh)”}”(hŒr-fwdselect”h#Œ2.1.0”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ*r-fwdselect-2.1.0-r36h6115d3f_1003.tar.bz2”h+Œ 7f26c86d4cfc96ca2c0be117a532fa66”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-fwdselect-2.1.0-r36h6115d3f_1003.tar.bz2”h0Œ@522554781a2c20111f68d8c3df153e799b46c7cac65a1850dc405b829dfa2f08”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cvtools”Œr-mgcv”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬Í&ÆÙhEJvà hFˆubh)”}”(hŒr-xtable”h#Œ1.8_4”h%Œr36h6115d3f_3”h'Khhh(h)hŒ$r-xtable-1.8_4-r36h6115d3f_3.tar.bz2”h+Œ 91bc68235baf69adc0d5c3473da4e291”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-xtable-1.8_4-r36h6115d3f_3.tar.bz2”h0Œ@690b56baf9ebb34a35b099e8a0feadf8757b3e11a1ca74bed54f32b93908f5ef”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«9ö0QìhEJ¡í
 hFˆubh)”}”(hŒr-weatherdata”h#Œ0.4.1”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ,r-weatherdata-0.4.1-r41ha770c72_1003.tar.bz2”h+Œ efa4e428831a2bde0b7bbc7ed33e0601”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-weatherdata-0.4.1-r41ha770c72_1003.tar.bz2”h0Œ@435068e8fc0c36ce8d43fb11d33e21e101d6801ff69c5f47b3e21736b59380b9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plyr”†”h9hºh@ŒGPL”hBŒGPL”hDGAØÑËÌl‹hEJ›l hFˆubh)”}”(hŒ	r-ppclust”h#Œ1.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-ppclust-1.1.0-r42hc72bb7e_2.tar.bz2”h+Œ ad1a66bcdc4e0ead5fe405a32268211b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ppclust-1.1.0-r42hc72bb7e_2.tar.bz2”h0Œ@4c0cf6865128c2ee0567d74bcca0cd8bdb5c24d30f0ad8513476a08a505ac994”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-inaparc”Œr-mass”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ6çKÇhEJ’à hFˆubh)”}”(hŒlibjpeg-turbo-cos7-ppc64le”h#Œ1.2.90”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libjpeg-turbo-cos7-ppc64le-1.2.90-h9d98e8f_104.tar.bz2”h+Œ 788cddc9131dd6cffd505b089e3aa8e6”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-ppc64le-1.2.90-h9d98e8f_104.tar.bz2”h0Œ@8ae0a4141c742519fd0cac9d6fe804ebe75d36d50f7584dc61e22f5799bd17e0”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒIJG”hBŒOther”hDGA×Éy|7LhEJt. hFˆubh)”}”(hŒr-nycflights13”h#Œ1.0.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-nycflights13-1.0.2-r40hc72bb7e_0.tar.bz2”h+Œ 9e08c154a3d6e763044729851cc031c8”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-nycflights13-1.0.2-r40hc72bb7e_0.tar.bz2”h0Œ@b9ef3f219700e07b32e0a66f6966baab19227ce6da5b9993c1745cbf5227b11d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØ#Õ™šhEJìaE hFˆubh)”}”(hŒr-shinythemes”h#Œ1.2.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-shinythemes-1.2.0-r36hc72bb7e_0.tar.bz2”h+Œ 5e060801f02f99a4c30e18febf528c20”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinythemes-1.2.0-r36hc72bb7e_0.tar.bz2”h0Œ@5e4020911ab71bea061bf8f66e105ff8e68427ae12b92aed716af6babb8e1af8”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-shiny >=0.11”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ×kohEJ€ù
 hFˆubh)”}”(hŒ	py-pandoc”h#Œ	2.9.2.1.2”h%Œpy_0”h'K hhh(h)hŒ py-pandoc-2.9.2.1.2-py_0.tar.bz2”h+Œ be2f42b6b637c0f1c917a520e3cc8cd1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/py-pandoc-2.9.2.1.2-py_0.tar.bz2”h0Œ@0f165cc5bec233ce007ab282681f8523d6ae9a84a734e5b6b88d0e4a0a1d847a”h2NhNh3Œpandoc 2.9.2.1.*”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGA×âZ½â~úhEMü2hFˆubh)”}”(hŒjupyterlab-mathjax3”h#Œ4.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.jupyterlab-mathjax3-4.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 14f77b598909d02393edfc78126be72f”h.Œ\https://conda.anaconda.org/conda-forge/noarch/jupyterlab-mathjax3-4.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ee4b3ec4c2e3fb15c320db75ab0c9a37a6e43b6ea5292fe6675146fbfb69d873”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØy9-/hEJ; hFˆubh)”}”(hŒ xcb-util-image-devel-cos7-x86_64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<xcb-util-image-devel-cos7-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ e38d1fa89adc32cbb919a9bee4c25a13”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-devel-cos7-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@fd9c6403a88238d88284e4ede6bff22d4624d073f2b6c9a6936a74a94b09f028”h2NhNh3Œsysroot_linux-64 2.17.*”Œ)xcb-util-image-cos7-x86_64 ==0.4.0 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@k‚éyhEMW7hFˆubh)”}”(hŒmoderngl-window”h#Œ2.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*moderngl-window-2.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ f2e7097f3a44359a2048a6484ac3af8e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/moderngl-window-2.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d155f8b579cc0c2fe9cbddae097392e474ce1d1af37d051cb335cba440363542”h2NhNh3(Œmoderngl <6”Œnumpy >=1.16,<2”Œ
pillow >=5”Œpyglet >=1.5.8,<2”Œpyrr >=0.10.3,<1”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØsshEJ¡Ò hFˆubh)”}”(hŒ	beaker-py”h#Œ1.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$beaker-py-1.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9fca24d560000fa0ec969269325cf01d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/beaker-py-1.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7ab52dcc1051e7c652a5618df0f30fb794854111316ae986795e5d4d8338f8bb”h2NhNh3(Œdocker-py >=5.0,<7”Œ	packaging”Œpydantic >=1.8.2,<1.11”Œpython >=3.7”Œpyyaml”Œrequests”Œrich >=12.3,<12.6”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÅ3©´›¦hEM4ÎhFˆubh)”}”(hŒpixman-devel-cos6-x86_64”h#Œ0.32.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4pixman-devel-cos6-x86_64-0.32.8-hdf0574f_102.tar.bz2”h+Œ 376e9d26b22826de7f6182bcd4f49936”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pixman-devel-cos6-x86_64-0.32.8-hdf0574f_102.tar.bz2”h0Œ@2609c1f8ed50882330a3c14e8b34a33e38d6718149ccdcf1b0a947179d0eb0e9”h2NhNh3Œ!pixman-cos6-x86_64 ==0.32.8 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åi(ZJhEMú3hFˆubh)”}”(hŒsphinxjp.themes.solarized”h#Œ0.1.0”h%Œpy_1”h'Khhh(h)hŒ,sphinxjp.themes.solarized-0.1.0-py_1.tar.bz2”h+Œ 67189619eead7b3cfac5de6a5363a965”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sphinxjp.themes.solarized-0.1.0-py_1.tar.bz2”h0Œ@d96387d0f3d443be91e9cc63b9823fb1bf083f24f686a6c04beb2b53d0122999”h2NhNh3(Œdocutils”Œpython”Œsphinx”Œsphinxjp.themecore”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÓ!1ÂÀƒhEM<hFˆubh)”}”(hŒr-knitrbootstrap”h#Œ1.0.2”h%Œr40h6115d3f_2”h'Khhh(h)hŒ,r-knitrbootstrap-1.0.2-r40h6115d3f_2.tar.bz2”h+Œ 7b6879b16f2e80fe7315da39668dd3b0”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitrbootstrap-1.0.2-r40h6115d3f_2.tar.bz2”h0Œ@40136cf7dfda08b8e4302d287cba5203959695c3277ac4d31a13bf89fae061b4”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-knitr >=1.5.25”Œ
r-markdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGA×­MÒ hEJú hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGAØ+#&A‰hEJ½“ hFˆubh)”}”(hŒr-tarifx”h#Œ1.0.6.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-tarifx-1.0.6.2-r35h6115d3f_0.tar.bz2”h+Œ c7eb66422422cebd380ac14ba4f7b90d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tarifx-1.0.6.2-r35h6115d3f_0.tar.bz2”h0Œ@44d78d17167c99b5aa94ef702119982893d56de56d0ea8f5d06195d2fea2f76f”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-plyr”Œ
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r-isingfit”Œr-isingsampler”Œr-matrix”Œr-qgraph”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒùÂì9XhEJ· hFˆubh)”}”(hŒlibidl-devel-cos6-x86_64”h#Œ0.8.13”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libidl-devel-cos6-x86_64-0.8.13-ha826a6f_1103.tar.bz2”h+Œ 9240d1d0ae9b04ba66873b028cd80555”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos6-x86_64-0.8.13-ha826a6f_1103.tar.bz2”h0Œ@55e8c5c250187a6ae13e465276b7aa67379af3b2c6f81e0683bc8ac6850e938f”h2NhNh3(Œ$glib2-devel-cos6-x86_64 >=2.0 *_1103”Œ"libidl-cos6-x86_64 ==0.8.13 *_1103”Œ"pkgconfig-cos6-x86_64 >=0.8 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ3‚¶‡+hEM¹ihFˆubh)”}”(hŒ	r-ggraptr”h#Œ1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-ggraptr-1.3-r42hc72bb7e_1.tar.bz2”h+Œ fb4d32a564194e1d3db794d67278d64d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggraptr-1.3-r42hc72bb7e_1.tar.bz2”h0Œ@fe42560697a4a38db73d8abe7964fbfffe5585c4aff68aa25cfdf060a267c2c6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.5”Œr-ggplot2 >=2.2.0”Œr-pacman >=0.4.6”Œr-purrr >=0.2.4”Œr-shiny >=0.12.2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒq"{hEJ/`) hFˆubh)”}”(hŒ	rb-sawyer”h#Œ0.8.2”h%Œ
hc42de5b_0”h'K hhh(h)hŒ"rb-sawyer-0.8.2-hc42de5b_0.tar.bz2”h+Œ 7458754c48fc578eb67073e9281f228a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-sawyer-0.8.2-hc42de5b_0.tar.bz2”h0Œ@682c34ff13607d42a8e6654c31ee600ed54aa240192aa9759a77253e2bf645c7”h2NhNh3Œrb-addressable >=2.3.5”Œrb-faraday >0.8,<2.0”Œruby >=2.6.3,<2.7.0a0”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Zä}ÿ+hEM'^hFˆubh)”}”(hŒ
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r-magrittr”Œr-transformer >=1.7.2”Œ
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r-snowfall”h#Œ1.84_6.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-snowfall-1.84_6.2-r41hc72bb7e_1.tar.bz2”h+Œ ce5850a3a63473f0d58833b57aef51a5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-snowfall-1.84_6.2-r41hc72bb7e_1.tar.bz2”h0Œ@e2b9de5f37097b91307078cc4818b1bee944a06f9dc58ac980b229284d93b0f9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-snow”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÐÆe6ÙhEJ:  hFˆubh)”}”(hŒr-naturalsort”h#Œ0.1.3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ,r-naturalsort-0.1.3-r42hc72bb7e_1004.tar.bz2”h+Œ 71070e55faaf193d9b86a33e7f8bb702”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-naturalsort-0.1.3-r42hc72bb7e_1004.tar.bz2”h0Œ@e0610d53bd5252a0ee0a3707fa92ba182be19a574aa1fc47a83cefb1c06317bc”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÑ”Üý‘hhEM!^hFˆubh)”}”(hŒr-scrt”h#Œ1.3.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-scrt-1.3.1-r40hc72bb7e_1.tar.bz2”h+Œ 9818a74b2c63eea2864459decc27b0ed”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-scrt-1.3.1-r40hc72bb7e_1.tar.bz2”h0Œ@88c74b3e91d7432f52d309aa0efd1e28ee6238aeeb5f3fc070427415c11cfe86”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*þ©°ÄœhEJ> hFˆubh)”}”(hŒdash”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdash-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7939cc944072958fcd2244c0da03decb”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/dash-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@68bac50a13ad1fb752c47213ba535435071542f5392a44925940bccdfd620f6d”h2NhNh3(Œflask >=1.0.4”Œflask-compress”Œplotly >=5.0.0”Œpython >=3.6”Œ
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reprexlite”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%reprexlite-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 931c85c10af0e4bb39cd836b80d0b962”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/reprexlite-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c0d352768bf3e9f0109002841e503ce1ec83ceb4ef563390315b617f0412f691”h2NhNh3(Œimportlib-metadata”Œlibcst”Œpython >=3.6”Œtyper”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ„ñ5×|îhEM DhFˆubh)”}”(hŒ
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r-jsonlite”Œr-plyr”Œ	r-rjsonio”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ} »ýôhEJÜ hFˆubh)”}”(hŒsmp”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒsmp-0.1.4-py_0.tar.bz2”h+Œ b79f3b42166542ba5fde537f47a42030”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/smp-0.1.4-py_0.tar.bz2”h0Œ@6700e276031085ebbdeb18ab9bc02e38874fa941d5216a043aab2bf108f68897”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÐ¹µ[hEM($hFˆubh)”}”(hŒ!xorg-x11-server-xvfb-cos7-aarch64”h#Œ1.20.4”h%Œha826a6f_103”h'Kghhh(h)hŒ=xorg-x11-server-xvfb-cos7-aarch64-1.20.4-ha826a6f_103.tar.bz2”h+Œ c712676adb0bca6fae485a0b6c386ba3”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos7-aarch64-1.20.4-ha826a6f_103.tar.bz2”h0Œ@95c30dcb4482e49ac0c1805a89e05356d8c80ca0a40fb7119ac24b84642045ae”h2NhNh3Œ2xorg-x11-server-common-cos7-aarch64 >=1.20.4 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGA×Æ1¸åÂhEJAõ hFˆubh)”}”(hŒr-rsq”h#Œ2.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒr-rsq-2.5-r41hc72bb7e_1.tar.bz2”h+Œ 98220c040d998b33c6ad69c51afee85d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-rsq-2.5-r41hc72bb7e_1.tar.bz2”h0Œ@fb1cf7367afc062b83aedae7720bbca034b5d3b5b24f39f62d15c71b96a4ca0d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-deriv”Œr-lme4”Œr-mass”Œr-matrix”Œr-nlme”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒò¸ïžhEJð½ hFˆubh)”}”(hŒlibxfixes-devel-cos7-aarch64”h#Œ5.0.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ8libxfixes-devel-cos7-aarch64-5.0.3-h9d98e8f_1104.tar.bz2”h+Œ 3afdcc1dc7183f8e41f7ed2c9c9fc5c6”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-aarch64-5.0.3-h9d98e8f_1104.tar.bz2”h0Œ@337fb4aeb41b2329d89ca162e2a9ca36cf2af46a2ba44101460e08b4ef77fd8f”h2NhNh3Œ%libxfixes-cos7-aarch64 ==5.0.3 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Éà›33hEM &hFˆubh)”}”(hŒ
r-denoiser”h#Œ1.0.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-denoiser-1.0.2-r36h6115d3f_0.tar.bz2”h+Œ 72e114e8f719d5afa4165d435e6e83a3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-denoiser-1.0.2-r36h6115d3f_0.tar.bz2”h0Œ@6f754f188678b400da1712123511b8daf4d937d3dc904733239455aa0f4d7273”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-factominer”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×´`¶ö5?hEJîL hFˆubh)”}”(hŒr-medicalrisk”h#Œ1.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-medicalrisk-1.3-r36h6115d3f_0.tar.bz2”h+Œ 6e0c8455e45fd3c7b910d878dbb37159”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-medicalrisk-1.3-r36h6115d3f_0.tar.bz2”h0Œ@a855371da176d9ecbc070bc7d2ef15d9bfc85d7d76a54dee13a1c70706631586”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-hash”Œr-plyr >=1.5”Œ
r-reshape2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×–ÔÐ|îhEJ;Ö hFˆubh)”}”(hŒcopy-jdk-configs-cos7-aarch64”h#Œ3.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6copy-jdk-configs-cos7-aarch64-3.3-hdf0574f_102.tar.bz2”h+Œ 8319e9232a7ab311be7a7a2de9d4985f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-aarch64-3.3-hdf0574f_102.tar.bz2”h0Œ@0d75ccc492c7e6fee902e6b9670833de52317383c309db5852cc5b6370f6308d”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ'ZáHhEM=#hFˆubh)”}”(hŒnss-cos7-ppc64le”h#Œ3.44.0”h%Œha826a6f_103”h'Kghhh(h)hŒ,nss-cos7-ppc64le-3.44.0-ha826a6f_103.tar.bz2”h+Œ 1d29afcfb9d6a94e5cb507cbc8a5700a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos7-ppc64le-3.44.0-ha826a6f_103.tar.bz2”h0Œ@4382abc3a5f0fcc15424628ccafc66e9edf59bac1204b3d79d7994c3863d32b4”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_103”Œ'nss-softokn-cos7-ppc64le >=3.44.0 *_103”Œ$nss-util-cos7-ppc64le >=3.44.0 *_103”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ29é‰7hEJGX hFˆubh)”}”(hŒlicense-expression”h#Œ1.2”h%Œpy_0”h'K hhh(h)hŒ#license-expression-1.2-py_0.tar.bz2”h+Œ 72564c688f3ac55eddc7b93e4ab8bd4f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/license-expression-1.2-py_0.tar.bz2”h0Œ@0b20a4dd47979206c262e5cbde0e2e912fb2f8ac6a8052615448a549312f3dfb”h2NhNh3Œboolean.py >=3.6,<4.0.0”Œpython”†”h9h?h@Œ
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r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ±¤7²hEJ”X hFˆubh)”}”(hŒr-maxlik”h#Œ1.5_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-maxlik-1.5_2-r41hc72bb7e_0.tar.bz2”h+Œ f2814fe3306d04e7a128890b21107f5b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-maxlik-1.5_2-r41hc72bb7e_0.tar.bz2”h0Œ@1944c4e57798356beca14656732047de4723c32750b8543314b30a303a356651”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-generics”Œr-misctools >=0.6_8”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ?Î‚ÂáHhEJ•ô hFˆubh)”}”(hŒblue”h#Œ0.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒblue-0.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5df1ef6c2b127f76f77d5f082b26eac6”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/blue-0.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a5b6c47f06c47c87b484cef71dd84e056181a16a385d9e7cf4c147cf280652c7”h2NhNh3Œblack 22.1.0”Œflake8 >=3.8,<5.0.0”Œpython >=3.6”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØºùÁûçhEMÊ9hFˆubh)”}”(hŒearthpy”h#Œ0.9.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"earthpy-0.9.4-pyhd8ed1ab_0.tar.bz2”h+Œ 0aac64b878513741b6e4dec490bade54”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/earthpy-0.9.4-pyhd8ed1ab_0.tar.bz2”h0Œ@b877f1077ad15ff2272b7a434b6f15e245cf86d7993fd1e3b22cf04fc30da67a”h2NhNh3(Œ	geopandas”Œmatplotlib-base >=2”Œnumpy”Œpandas”Œ
python >=3”Œrasterio”Œrequests”Œrtree >=0.8”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØVÕ‚Ÿl‹hEJb hFˆubh)”}”(hŒ
r-dreamerr”h#Œ1.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-dreamerr-1.2.3-r41hc72bb7e_0.tar.bz2”h+Œ 274c9672a686f40f197bcb859c6e6829”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dreamerr-1.2.3-r41hc72bb7e_0.tar.bz2”h0Œ@939291ff3f11d8eb4fbca605c72016995fd85920a22e7df815451b44ba711969”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-formula”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+¢j^5hEJœ hFˆubh)”}”(hŒdecore”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!decore-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ cf3d73548add2258877a2b8f68d67cd9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/decore-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3beab75a1c79a1315af69ea45becac251bb292e5aa533cc1d4e07dd863ee3b3c”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGA×èº“ùÛhEMv hFˆubh)”}”(hŒ	iptcinfo3”h#Œ2.1.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$iptcinfo3-2.1.4-pyh9f0ad1d_0.tar.bz2”h+Œ 947df41907107784e14a38af5803855b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/iptcinfo3-2.1.4-pyh9f0ad1d_0.tar.bz2”h0Œ@3f2511124a86418d3f883b8a94e88bbf281c67924639124ba06301b25b2a0607”h2NhNh3Œpython”…”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGA×µûhœ¼jhEMÑXhFˆubh)”}”(hŒlibdrm-cos7-aarch64”h#Œ2.4.97”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0libdrm-cos7-aarch64-2.4.97-hdf0574f_1102.tar.bz2”h+Œ 1794c9b4ad3bbd8f59c66e0279738974”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-aarch64-2.4.97-hdf0574f_1102.tar.bz2”h0Œ@f2fdf2e31a01eadce149fd7bffecce48a1ba8874202d17446e5a620ff0dc4350”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+g£ohEJ%© hFˆubh)”}”(hŒr-ggcorrplot”h#Œ0.1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-ggcorrplot-0.1.4-r41hc72bb7e_1.tar.bz2”h+Œ 051c64ca35dd799c331af9aca4ab98c2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ggcorrplot-0.1.4-r41hc72bb7e_1.tar.bz2”h0Œ@2e1ea0f8afd32d7f206a8c8999ea6385b27d316171168c7f912abaaa239c2345”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-reshape2”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ°.¹ÊÁhEM#ªhFˆubh)”}”(hŒparquet_python”h#Œ1.3.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ)parquet_python-1.3.1-pyh6c4a22f_0.tar.bz2”h+Œ 62848340eec2075e19c3b232a1e683f2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/parquet_python-1.3.1-pyh6c4a22f_0.tar.bz2”h0Œ@fc50092f53c7fd98ee33f0b24779a3b97f401f43d7a04f35418dd459f9952c92”h2NhNh3Œ!parquet-python 1.3.1 pyh6c4a22f_0”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¨4Ró¶hEMähFˆubh)”}”(hŒradon”h#Œ5.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ radon-5.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 47d56d26de349ab7f6e4b80d3000fc9b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/radon-5.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5680a10b25a74f4286eb1f61c63ae8e8fb7bdccecfbc40b9e3035495e56f0cc9”h2NhNh3(Œcolorama >=0.3”Œflake8-polyfill”Œmando”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØMÉ@AÛ#hEMc±hFˆubh)”}”(hŒ	wxyz_html”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$wxyz_html-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9834b541172141f6e69aba899e088414”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/wxyz_html-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@818c21f105c5e6618c7e4426cffada67776801003b98763745210c27493f3db8”h2NhNh3Œpython >=3.6”Œwxyz_core >=0.5,<0.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ.žŸPÄœhEMòthFˆubh)”}”(hŒ	fastjmd95”h#Œ0.2.1”h%Œpyh44b312d_0”h'K hhh(h)hŒ$fastjmd95-0.2.1-pyh44b312d_0.tar.bz2”h+Œ 1c964b3de70514bbf641464d78f4fb5a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fastjmd95-0.2.1-pyh44b312d_0.tar.bz2”h0Œ@6f423bb9049ea2ad9ddf04815b4b82e9b87569670a86cbda44cf9c9dc91219f2”h2NhNh3Œnumba”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGAØS QìhEM—JhFˆubh)”}”(hŒ
r-dygraphs”h#Œ1.1.1.6”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ+r-dygraphs-1.1.1.6-r35h6115d3f_1002.tar.bz2”h+Œ 233ebfbd526b5a975273cea696ad4a06”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-dygraphs-1.1.1.6-r35h6115d3f_1002.tar.bz2”h0Œ@dcf8d58d02155627f1d09c770dfea709870ac37598d0cd6e122d100475f70520”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-htmltools >=0.3.5”Œr-htmlwidgets >=0.6”Œ
r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGA×KÉª?}hEJ)4 hFˆubh)”}”(hŒr-qdapdictionaries”h#Œ1.0.7”h%Œr40h6115d3f_0”h'K hhh(h)hŒ.r-qdapdictionaries-1.0.7-r40h6115d3f_0.tar.bz2”h+Œ 5025a3fd6d46561f8c618228e39bc702”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-qdapdictionaries-1.0.7-r40h6115d3f_0.tar.bz2”h0Œ@b12bf7d8645bf1ac0f814c54a3bece0c99a01e9e17c95299f4907748a0cd9618”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ÙÀb01'hEJBV! hFˆubh)”}”(hŒr-assertive.base”h#Œ0.0_9”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ,r-assertive.base-0.0_9-r36hc72bb7e_0.tar.bz2”h+Œ 20725b6332e22c2fda5607c1aef8130d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.base-0.0_9-r36hc72bb7e_0.tar.bz2”h0Œ@4da5b2c960c3a7dc5011855a0fa69805b08608301b7fcb36e9659d1eecb03353”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ>ÖHå`hEJ hFˆubh)”}”(hŒsysroot-cos6-x86_64”h#Œ2.12”h%Œ
h071be85_9”h'K	hhh(h)hŒ+sysroot-cos6-x86_64-2.12-h071be85_9.tar.bz2”h+Œ 9848968e6cd694cacad79965b55772d8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos6-x86_64-2.12-h071be85_9.tar.bz2”h0Œ@1b8dd5d5535cb0aed8b3a962228e3ecb94681af16b54f7e5195f7969174852de”h2NhNh3Œsysroot_linux-64 2.12”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶åª-hEM)hFˆubh)”}”(hŒsystemd-cos7-aarch64”h#Œ219”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-systemd-cos7-aarch64-219-h9d98e8f_104.tar.bz2”h+Œ ab8d576317bc17bff485918d48d687cd”h.Œ[https://conda.anaconda.org/conda-forge/noarch/systemd-cos7-aarch64-219-h9d98e8f_104.tar.bz2”h0Œ@2526477092fef58f80b610c6501b7e63801c6d9ebe6513e4149458fbb343392c”h2NhNh3Œ%centos-release-cos7-aarch64 >=7 *_104”Œkmod-cos7-aarch64 >=18 *_104”Œ%systemd-libs-cos7-aarch64 ==219 *_104”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT and GPLv2+”hBŒGPL2”hDGA×Ø™V-‘hhEJ$
q hFˆubh)”}”(hŒcdp”h#Œ1.7.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒcdp-1.7.0-pyhd8ed1ab_1.tar.bz2”h+Œ a82ced447377b57170242e6d2d6db938”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/cdp-1.7.0-pyhd8ed1ab_1.tar.bz2”h0Œ@1b5ccff7913bdbc3d5ddc156baf7adb48675d2b523b3d3e2a2bc0a2b6c1bddf3”h2NhNh3(Œdask”Œdistributed”Œoutput_viewer >=1.3.0”Œpython >=3.6”Œpyyaml”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØyÅŽðbhEMÕIhFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyh5bfe37b_4”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyh5bfe37b_4.tar.bz2”h+Œ 66c4cbccf0b14dd9d98ae8aedbc50b2b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyh5bfe37b_4.tar.bz2”h0Œ@4e2d58828d8c018a2afd943c4c7bdbd85c4b1a4408b0e69bc2a42c4a78b1d9cc”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ²
ù QìhEMÇ°hFˆubh)”}”(hŒr-ccremover”h#Œ1.0.4”h%Œ	r351_1000”h'Mèhhh(h)hŒ#r-ccremover-1.0.4-r351_1000.tar.bz2”h+Œ 0d3bb6ad4675be7442bed153c0be6d82”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ccremover-1.0.4-r351_1000.tar.bz2”h0Œ@728ffb844686ae38544162a35a96266eafbd2693bc7843f624726874ff566f07”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖþmàPÄœhEJ Ä" hFˆubh)”}”(hŒfeatureclass”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'featureclass-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ bc50b0cf62752b8464e94d1b47894d2d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/featureclass-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8cfdb9bea10e08a9529ff0a8fad3e410c39760712fd036a3b3c50e183a90611a”h2NhNh3Œpython >=3.7”…”h9h?h@Œ
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØŽ!ÿl‹hEJf hFˆubh)”}”(hŒlibsm-devel-cos7-aarch64”h#Œ1.2.2”h%Œ
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r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-r6”Œr-rlang”Œr-rstudioapi”Œr-shiny”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ-\’ÀƒhEJ÷Z hFˆubh)”}”(hŒ
r-oriclust”h#Œ1.0_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-oriclust-1.0_2-r42hc72bb7e_1.tar.bz2”h+Œ 5adb6a36a409a41c1826c3ec08a79972”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-oriclust-1.0_2-r42hc72bb7e_1.tar.bz2”h0Œ@d9f69490f9832d248768840f45051e1809636b2c69e9c1829a202bb1f2eea89d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ>q#hEJÙW hFˆubh)”}”(hŒcluster-lensing”h#Œ0.1.2”h%Œpy_1”h'Khhh(h)hŒ"cluster-lensing-0.1.2-py_1.tar.bz2”h+Œ ba19f27623ccb931135066c0a74af4d0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cluster-lensing-0.1.2-py_1.tar.bz2”h0Œ@0375c4b57a494a77177252feb0dd715dae37571be9d0273698c453eae2114400”h2NhNh3(Œastropy”Œnumpy”Œpandas”Œpython”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÔ¦!™XhEM“ShFˆubh)”}”(hŒjsondiff”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#jsondiff-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 737c0737e5d262688097097534fb1bd5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jsondiff-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@04e6b6fbec9e262781c5c753cee5c6baf5e22767242ec3db54d2208463814df1”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ”ÆGûçhEM¬(hFˆubh)”}”(hŒr-excelr”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-excelr-0.4.0-r41hc72bb7e_0.tar.bz2”h+Œ 705007a8d195f0a6e2e0686906c8abba”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-excelr-0.4.0-r41hc72bb7e_0.tar.bz2”h0Œ@5e12ca477e2df8dad818d53c58aab0389c107f93b705b913963ab5ad361416bd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets >=1.3”Œr-jsonlite >=1.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+'£lzáhEJÕÑ hFˆubh)”}”(hŒlibselinux-cos7-aarch64”h#Œ2.5”h%Œh1795305_1101”h'MMhhh(h)hŒ1libselinux-cos7-aarch64-2.5-h1795305_1101.tar.bz2”h+Œ 805fb3c578bbea4b10474c73b4be05b3”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-aarch64-2.5-h1795305_1101.tar.bz2”h0Œ@1ced937c046a9866f1095e134b7ca821c5d780d8da7604c66cbcc7bd659eb5df”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Å&CC–hEJK‚ hFˆubh)”}”(hŒ
turbo-seti”h#Œ2.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%turbo-seti-2.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 021cb6bb49fcd3af9daf84daa5fdce32”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/turbo-seti-2.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@8b8faa770f710b8e7998089bb8bd3a65401b82d8acad2cf853e4afb495bcd93a”h2NhNh3(Œastropy”Œblimpy >=2.0.34”Œcloudpickle”Œ	dask-core”Œfsspec”Œnumba”Œnumpy”Œpandas”Œpython >=3.6”Œtoolz”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ£Êyô(öhEJs hFˆubh)”}”(hŒr-treatmentselection”h#Œ2.1.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ3r-treatmentselection-2.1.1-r41hc72bb7e_1003.tar.bz2”h+Œ a8f70e8eec5043c108460a1c10381cd7”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-treatmentselection-2.1.1-r41hc72bb7e_1003.tar.bz2”h0Œ@eba7c37b7f017e8fb875e4ebdfce458754ee36fbcc7257169aa2143b7291d227”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-binom”Œ	r-ggplot2”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑö½}¡ËhEJç}' hFˆubh)”}”(hŒnss-softokn-cos7-aarch64”h#Œ3.44.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4nss-softokn-cos7-aarch64-3.44.0-h9d98e8f_104.tar.bz2”h+Œ b8c87f7a24ae0c2c36ab3f8dbdcc13bb”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-aarch64-3.44.0-h9d98e8f_104.tar.bz2”h0Œ@e54454b004db818ba84133d5b010ac1543ae5b6b9f103be25fd3b620d535f129”h2NhNh3Œ nspr-cos7-aarch64 >=4.21.0 *_104”Œ.nss-softokn-freebl-cos7-aarch64 >=3.44.0 *_104”Œ$nss-util-cos7-aarch64 >=3.44.0 *_104”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É}M¹ûçhEJg hFˆubh)”}”(hŒr-lmms”h#Œ1.3.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-lmms-1.3.3-r41hc72bb7e_1.tar.bz2”h+Œ ebe16794f99b0857dbc8e98e2dd70988”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmms-1.3.3-r41hc72bb7e_1.tar.bz2”h0Œ@da3fed41b9fd442b75bcc237d101e5b23a07a80f25603207232c903a68b9e39d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gdata”Œ	r-ggplot2”Œr-gplots”Œr-gridextra”Œr-lmesplines”Œr-nlme”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ºãSøhEJ'þ hFˆubh)”}”(hŒr-factormerger”h#Œ0.4.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ*r-factormerger-0.4.0-r36h6115d3f_1.tar.bz2”h+Œ bb99eb7d41e550037acf729ef50b1dfa”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-factormerger-0.4.0-r36h6115d3f_1.tar.bz2”h0Œ@9ac8102f0dad5d4d0d8800cb4cdef7458add08c19f699ad92691bbc9a8226853”h2NhNh3(Œr-agricolae”Œr-base >=3.6,<3.7.0a0”Œr-colorramps”Œr-dplyr”Œ	r-forcats”Œr-formula.tools”Œ	r-ggplot2”Œr-ggpubr”Œr-knitr”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL”hBŒGPL”hDGA×M@(ÄœhEJÁÜ$ hFˆubh)”}”(hŒ	r-zeallot”h#Œ0.1.0”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ)r-zeallot-0.1.0-r351h6115d3f_1000.tar.bz2”h+Œ 05c781295f05f969fb2b129f519f6035”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-zeallot-0.1.0-r351h6115d3f_1000.tar.bz2”h0Œ@a15507237a0226e6de03a6676f63ba5d99b048a86c4949368ea2134d462f768d”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÖüƒ·0ÄœhEMªóhFˆubh)”}”(hŒwand”h#Œ0.6.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ wand-0.6.10-pyhd8ed1ab_0.tar.bz2”h+Œ b2dd46b74e85947726cca13a8c3a1e5c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/wand-0.6.10-pyhd8ed1ab_0.tar.bz2”h0Œ@d5becb1dd154d26a2daeb601dca9535c2ab16b25e0cd8dede8b5a5940ba55d64”h2NhNh3Œimagemagick”Œpython >=3.3|>=2.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÀþãkÆ¨hEJ¥ hFˆubh)”}”(hŒasn1”h#Œ2.4.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒasn1-2.4.1-pyh9f0ad1d_0.tar.bz2”h+Œ 3b6dfeb43472ca48fda92f64c96209ea”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/asn1-2.4.1-pyh9f0ad1d_0.tar.bz2”h0Œ@4fcd92e54b3fafc2d76943cf70614630d8e1bf0895ad2846752d8920232356ba”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Ä neVhEMJ/hFˆubh)”}”(hŒjinja2”h#Œ2.11.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"jinja2-2.11.3-pyhd8ed1ab_1.tar.bz2”h+Œ d32c1aa8047d2d11163abbe4a8f852ac”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/jinja2-2.11.3-pyhd8ed1ab_1.tar.bz2”h0Œ@75d8ff0e9360af8ff0853b4348f9b402868cb897833631634e75c5df4a79f199”h2NhNh3Œmarkupsafe >=0.23,<2”Œpython >=3.5”Œ
setuptools”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŒ¶ëSøhEJzx hFˆubh)”}”(hŒlibxml2-devel-cos6-x86_64”h#Œ2.7.6”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libxml2-devel-cos6-x86_64-2.7.6-hdf0574f_1102.tar.bz2”h+Œ ebf2a74daeab0e73232d558c4f70f78c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos6-x86_64-2.7.6-hdf0574f_1102.tar.bz2”h0Œ@b728015a7db75cd6a97ca11bf9a5aa2c2f9ae9773a5b669ce7b8179ceb57109b”h2NhNh3Œ"libxml2-cos6-x86_64 ==2.7.6 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åi©ì9XhEJf hFˆubh)”}”(hŒchevron”h#Œ0.14.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ#chevron-0.14.0-pyhd3deb0d_0.tar.bz2”h+Œ d74827e28d27d35493ad16aa76d0449a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/chevron-0.14.0-pyhd3deb0d_0.tar.bz2”h0Œ@30cc6d852e36b62e8633607e99c5b232d35ae96f230704ac9fab10dd0a894d88”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ"hìlÌÍhEMÂ5hFˆubh)”}”(hŒr-scales”h#Œ1.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-scales-1.2.1-r41hc72bb7e_0.tar.bz2”h+Œ 9ba5c1de3a9758871584ba40c378db14”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-scales-1.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@1ef42d5290b4fac38f95c442bcbb560c7bf27ecfe14cd3545d5185ba112c3ba4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-farver >=2.0.0”Œ
r-labeling”Œr-lifecycle”Œr-munsell >=0.5”Œr-r6”Œr-rcolorbrewer”Œr-viridislite”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÀªIºhEJè“	 hFˆubh)”}”(hŒr-repo”h#Œ2.1.5”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-repo-2.1.5-r35h6115d3f_0.tar.bz2”h+Œ c76a1416804436cc2ba8ffeb8316c515”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-repo-2.1.5-r35h6115d3f_0.tar.bz2”h0Œ@6f3f2f44c428fe4cbee910ae78e45d3147db3e59c504555917576a79c78bfa83”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-digest”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¼>¦$ÝhEJëñ hFˆubh)”}”(hŒ xorg-x11-util-macros-cos6-x86_64”h#Œ1.19.0”h%Œha826a6f_103”h'Kghhh(h)hŒ<xorg-x11-util-macros-cos6-x86_64-1.19.0-ha826a6f_103.tar.bz2”h+Œ 2b75897a216f3c0add9aa74814013cb8”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos6-x86_64-1.19.0-ha826a6f_103.tar.bz2”h0Œ@5465030bd8dcca283f795ecee4d6ddcfc715544098644678c0a96a2705784c3e”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/¹r-hEM\ªhFˆubh)”}”(hŒlibxt-devel-cos7-x86_64”h#Œ1.1.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libxt-devel-cos7-x86_64-1.1.5-hdf0574f_1102.tar.bz2”h+Œ d307e21520a156450ae4b2226a0cc16c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-x86_64-1.1.5-hdf0574f_1102.tar.bz2”h0Œ@0f7c9af990d46a54be622717d503fe7f72db165e90e4b30386186903bf051a1c”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´°ûSøhEJ… hFˆubh)”}”(hŒ
r-gitcreds”h#Œ0.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-gitcreds-0.1.2-r41hc72bb7e_1.tar.bz2”h+Œ 8ec6d80a9a63f8e45c8ada26d594fcad”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gitcreds-0.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@caec0feb9293c2427d92b1ac4c2bc77cdd8d3f12956896706ddaebf8852a3c15”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐAË5ó¶hEJ hFˆubh)”}”(hŒr-kableextra”h#Œ1.3.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-kableextra-1.3.4-r42hc72bb7e_1.tar.bz2”h+Œ e046c24841e224791f96d89941b72be6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-kableextra-1.3.4-r42hc72bb7e_1.tar.bz2”h0Œ@adfb88a72835526452faab85fabca6c79dd82c6fd5cf8dabd0e252dccb3e02f2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-glue”Œr-htmltools”Œr-knitr >=1.16”Œ
r-magrittr”Œr-rmarkdown >=1.6.0”Œr-rstudioapi”Œr-rvest”Œr-scales”Œr-stringr >=1.0”Œ	r-svglite”Œr-viridislite”Œ	r-webshot”Œr-xml2 >=1.1.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÍöØ  hEJ` hFˆubh)”}”(hŒr-leaflet.minicharts”h#Œ0.6.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ0r-leaflet.minicharts-0.6.2-r41hc72bb7e_1.tar.bz2”h+Œ d84a7cef052b8abd7cdf9365c3a63b52”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-leaflet.minicharts-0.6.2-r41hc72bb7e_1.tar.bz2”h0Œ@8b5e939dc18c7b5a517f11121d14b02e27d5a9bd58f74a9596860404bd3d0b21”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-leaflet >=1.1.0”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒZ…‘hhEJÄ& hFˆubh)”}”(hŒ
cm-unicode”h#Œ0.7.0”h%j3G h'K hhh(h)hŒcm-unicode-0.7.0-0.tar.bz2”h+Œ 9f95e4c8ac12fff7c16c24a8810a07c5”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/cm-unicode-0.7.0-0.tar.bz2”h0Œ@159a05949e8ba66f15eac947c1c30fac589086ca15c8aa8269c180486f841eee”h2NhNh3)h9hºh@ŒOFL-1.1”hBŒOTHER”hDGA×>¸zŸ¾hEJ.Ñd hFˆubh)”}”(hŒr-scrt”h#Œ1.3.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-scrt-1.3.1-r35h6115d3f_0.tar.bz2”h+Œ 6a117c199f212fcaa4a0e0a401c6e0f5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-scrt-1.3.1-r35h6115d3f_0.tar.bz2”h0Œ@6fe32e68b83d8ab6f0e5b0e3f10e0eebf1280bb6c4be54ade56fa1d3eb460bc8”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×…¶Î õÃhEJy; hFˆubh)”}”(hŒsisppeo”h#Œ1.1.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"sisppeo-1.1.1-pyhd8ed1ab_1.tar.bz2”h+Œ 97727497e321da2f839dbc95ef0b6de9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sisppeo-1.1.1-pyhd8ed1ab_1.tar.bz2”h0Œ@de62e810ec44073e57b40f265becec3b3b41ac5fb170795202ff37b8e7e2bfc5”h2NhNh3(Œaffine”Œclick”Œcolorcet”Œ
datashader”Œfiona”Œlxml”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpandas”Œpillow”Œplotly”Œpsutil”Œpvlib-python”Œpyproj”Œpython >=3.8”Œpyyaml”Œrasterio”Œray-core”Œs2cloudless”Œscikit-image”Œscikit-learn”Œscipy”Œshapely”Œtqdm”Œxarray”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ»;â°!hEJ} hFˆubh)”}”(hŒr-paws.common”h#Œ0.4.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-paws.common-0.4.0-r40hc72bb7e_0.tar.bz2”h+Œ f06d33840e6b18b857b6083a7a75bf9d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-paws.common-0.4.0-r40hc72bb7e_0.tar.bz2”h0Œ@9d9b1f55b4a3c7c66eaab6253d51e4421639ef900a7ce7210ad8df7732eaf2d0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-digest”Œr-httr”Œ
r-jsonlite”Œr-xml2”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¼lÃèƒhEJ£« hFˆubh)”}”(hŒfontconfig-devel-cos6-x86_64”h#Œ2.8.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7fontconfig-devel-cos6-x86_64-2.8.0-h9b0a68f_105.tar.bz2”h+Œ 733b06293264884dcb6b885b82f8365d”h.Œehttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos6-x86_64-2.8.0-h9b0a68f_105.tar.bz2”h0Œ@8d73841db48a121852da17526211c8b3ed10d913b54d2b0be16849a7177a37b3”h2NhNh3Œ$fontconfig-cos6-x86_64 ==2.8.0 *_105”Œ(freetype-devel-cos6-x86_64 >=2.1.4 *_105”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Zò³×
hEJ{> hFˆubh)”}”(hŒjupyterlab_pygments”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.jupyterlab_pygments-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 243f63592c8e449f40cd42eb5cf32f40”h.Œ\https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@08453e09d5a6bbaeeca839553a5dfd7a377a97550efab96019c334a8042f54f5”h2NhNh3Œpygments >=2.4.1,<3”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ–LféyhEMDhFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.libx11-cos6-x86_64-1.6.4-hdf0574f_1102.tar.bz2”h+Œ 97e533b6f16e698e629144bfe418a5e8”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-hdf0574f_1102.tar.bz2”h0Œ@e8bcddf4fe4ba1c5a2cbd61ece26f857ffed761876ca8c552a968c5607a58366”h2NhNh3Œ(libx11-common-cos6-x86_64 ==1.6.4 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+Ê¨bNhEJ<œ hFˆubh)”}”(hŒr-fds”h#Œ1.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-fds-1.8-r42hc72bb7e_1.tar.bz2”h+Œ 2896ee455ecf91c2f8a2698ec0699ec4”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fds-1.8-r42hc72bb7e_1.tar.bz2”h0Œ@4d92615b369ab4e4372add32ce92a1b18ee1f41bd93d53738d152eaafb37a853”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-rainbow”Œr-rcurl”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ›‹hEJú> hFˆubh)”}”(hŒr-tidygeocoder”h#Œ1.0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-tidygeocoder-1.0.5-r41hc72bb7e_0.tar.bz2”h+Œ b1ba05edeaeacb4fd5560247fc8231b5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-tidygeocoder-1.0.5-r41hc72bb7e_0.tar.bz2”h0Œ@d2525c562036ed444ea2d43087724b0e6cca5235257253e98d18a9798f7a9367”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-lifecycle”Œ
r-progress”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ`¡B‡®hEJÁ hFˆubh)”}”(hŒ
yaqd-zaber”h#Œ	2021.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)yaqd-zaber-2021.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 71e1d8e317ab423e0eb3a1ef744695e7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/yaqd-zaber-2021.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e858de5e4cc67b51bce383e93882f4e7be97b42bb205194e82e860b5332eadb6”h2NhNh3Œpython >=3.7”Œyaqd-core >=2020.06.3”Œzaber-serial”‡”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÊçˆïïžhEM‚9hFˆubh)”}”(hŒr-catencoders”h#Œ0.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-catencoders-0.1.1-r40hc72bb7e_0.tar.bz2”h+Œ 765dbc6dc330a9d81e7e7a46bf3c6774”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-catencoders-0.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@d79b0d99cab6ce5c723f3ae28025021dfdfd1d646af81c4ffdbcb571a9807d7a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table >=1.9.6”Œr-matrix >=1.2_6”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ.Ôfe?}hEMÚêhFˆubh)”}”(hŒr-ggpackets”h#Œ0.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-ggpackets-0.2.1-r41hc72bb7e_1.tar.bz2”h+Œ 2e4144267132077f08f86801a14e1aa7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggpackets-0.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@5e9e91be474671ad506f9a39335f8879dd046a186d372b78202e592ce51c45c2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œ	r-ggplot2”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒqVb~úhEJ¬ hFˆubh)”}”(hŒ
r-validata”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-validata-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ ca5dd3d8fdcc7b504a4bef2df690ac71”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-validata-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@152878a9bd7fbbbd455cdacdff1d5723a1cad5c26c7b41c9f3eb8a7b5471c124”h2NhNh3(Œr-badger”Œr-base >=4.1,<4.2.0a0”Œr-bbmisc”Œr-data.table”Œr-dplyr”Œr-framecleaner”Œr-gtools”Œ	r-janitor”Œr-listviewer”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-rlist”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒËyÊ¬hEJ­8 hFˆubh)”}”(hŒ
r-isingfit”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-isingfit-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ 349fdd1209100ecfc24052da9fb877a8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-isingfit-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@79b4eea9853d99c1151a1342970419ed387ded465f3f45ed0e6ab5d8e9ac89f3”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-glmnet”Œr-matrix”Œr-qgraph”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ;&»l“hEM8²hFˆubh)”}”(hŒlibxscrnsaver-cos6-x86_64”h#Œ1.2.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libxscrnsaver-cos6-x86_64-1.2.2-h9b0a68f_105.tar.bz2”h+Œ 00ac8578830f30f6c7c9f5d112c8e526”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos6-x86_64-1.2.2-h9b0a68f_105.tar.bz2”h0Œ@d5c361a89ced04735a65145a126bf77ef6ec72cd2e2fa8b344aa816ad63db25a”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@VP›¦hEM‰IhFˆubh)”}”(hŒdask”h#Œ2022.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"dask-2022.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5c65633532ae88b188a602330048e168”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/dask-2022.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fc324d388ba3ff6238187efc5d15852a1c8a5dd1e46dcf6c3247dffd7eebb34b”h2NhNh3(Œbokeh >=2.4.2”Œcytoolz >=0.8.2”Œ"dask-core >=2022.8.0,<2022.8.1.0a0”Œ$distributed >=2022.8.0,<2022.8.1.0a0”Œjinja2”Œlz4”Œnumpy >=1.18”Œpandas >=1.0”Œpython >=3.8”t”h6Œopenssl !=1.1.1e”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ»cA2¬hEM³hFˆubh)”}”(hŒ
r-sigclust”h#Œ1.1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-sigclust-1.1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 1b35f39d3b8f35d2cad241e124741008”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sigclust-1.1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@c9fb8d9b03cdcc120fefe05b8da7373c6bfdd21eca5e1532df72d7591aea273e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ®ûßß;hEM
÷hFˆubh)”}”(hŒr-soniclength”h#Œ1.4.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-soniclength-1.4.7-r41hc72bb7e_0.tar.bz2”h+Œ c90faf723f0ebeada9f5f5159ad69ce6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-soniclength-1.4.7-r41hc72bb7e_0.tar.bz2”h0Œ@59d92e87243d1249074eca22c63f6aca19ec9ca0fd480cfb17100abdb065cfcc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØRlèÔþhEJóS hFˆubh)”}”(hŒr-liftr”h#Œ0.9.2”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ#r-liftr-0.9.2-r41hc72bb7e_3.tar.bz2”h+Œ c8b23afa4720c9725e95f9d58e21f742”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-liftr-0.9.2-r41hc72bb7e_3.tar.bz2”h0Œ@820f724fa7081ed3d006233cbbe368f34d7975a7e784a3bac39918d79aaa6246”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-knitr”Œr-rmarkdown”Œr-rstudioapi”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒZ‘ë…hEJM hFˆubh)”}”(hŒscikit-downscale”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+scikit-downscale-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ b096396293e90e2070de4c96a0bfcd47”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/scikit-downscale-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@8db0470124a4d1eef664e4387c32bd4e988653ef7927cb338a1a331e32e5bfa0”h2NhNh3Œpython >=3.8”Œscikit-learn >=0.21”Œxarray >=0.16”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ«2²\)hEMŠ{hFˆubh)”}”(hŒlibxt-devel-cos6-x86_64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libxt-devel-cos6-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 3ee8efe73bdf08367afc7ce6e7b6e37c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos6-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@514a7159a01b6648f4c280f943a4fd449c0c0c892898a0682119394cbc453e07”h2NhNh3Œ libxt-cos6-x86_64 ==1.1.4 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É/*JhEJ
 hFˆubh)”}”(hŒstatsd”h#Œ3.3.0”h%Œpy_0”h'K hhh(h)hŒstatsd-3.3.0-py_0.tar.bz2”h+Œ 8f5c03d5657905e6c70c3e6e522bfb4e”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/statsd-3.3.0-py_0.tar.bz2”h0Œ@3553501b2981764bdd650d83a8d03886e9ffcbe7930327e5d2043322953da8ca”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖà.Œ˜ ÅhEM‚1hFˆubh)”}”(hŒr-survival666”h#Œ0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-survival666-0.5-r41hc72bb7e_0.tar.bz2”h+Œ 2e7349305389c13ea47c2b90da296650”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-survival666-0.5-r41hc72bb7e_0.tar.bz2”h0Œ@3adca61a06c5d1026e53276d842169936ed68069370751b8b50165c367181b46”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-survival”Œr-survminer”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¯XÍ#•hEJ"œ hFˆubh)”}”(hŒr-exact”h#Œ3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-exact-3.2-r41hc72bb7e_0.tar.bz2”h+Œ cede223208037249540fb97a25ffb2fe”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-exact-3.2-r41hc72bb7e_0.tar.bz2”h0Œ@4330d123be8ad4663d30f4aa42ae4c392f5f3836f658e361ebdd356318642a5b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rootsolve”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÌHìY7LhEJÓV hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r41hc72bb7e_3.tar.bz2”h+Œ 4117323c58f6379b3fbbe61b93a27f1b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r41hc72bb7e_3.tar.bz2”h0Œ@c287bd4c738681da68e5f0981a582f9e9fba37d6eccdec5718fd8ae35e60f760”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*Ô*™©ühEJšõ hFˆubh)”}”(hŒglib2-cos6-x86_64”h#Œ2.28.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-glib2-cos6-x86_64-2.28.8-h9d98e8f_104.tar.bz2”h+Œ 2674e6dcf92170ef6c89e0fb7c085849”h.Œ[https://conda.anaconda.org/conda-forge/noarch/glib2-cos6-x86_64-2.28.8-h9d98e8f_104.tar.bz2”h0Œ@43db3e7ec9dcd21a87bf6fc2eb18aecaf03156bda73bef475474facc6da228cb”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉyáXhEJX hFˆubh)”}”(hŒr-tfse”h#Œ0.5.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-tfse-0.5.0-r40hc72bb7e_1.tar.bz2”h+Œ 09ac77f080c2bdbb7585ea65104633a0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tfse-0.5.0-r40hc72bb7e_1.tar.bz2”h0Œ@71e2ac7f25c6deeff16ea48d7c65e61a9e460ab79d358b0f5bbc26d67566afef”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-dapr”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ûäýôhEJQf hFˆubh)”}”(hŒpenaltymodel-mip”h#Œ0.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+penaltymodel-mip-0.2.6-pyhd8ed1ab_0.tar.bz2”h+Œ ab80d949c55015433827017f73bc1501”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/penaltymodel-mip-0.2.6-pyhd8ed1ab_0.tar.bz2”h0Œ@99f65abaf0305bb39791224806ad445036fd7c3d9f8ded23a4c13b138119721b”h2NhNh3(Œdimod >=0.8.0,<0.11.0”Œnetworkx >=2.4,<3.0”Œ!ortools-python >=6.6.4659,<10.0.0”Œpenaltymodel >=0.16.0,<0.17.0”Œpython >=3.6”t”h9h?h@Œ
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r-invgamma”h#Œ1.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-invgamma-1.1-r35h6115d3f_0.tar.bz2”h+Œ 57c1112f1fbbf5b6a5d7c77a63c09a28”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-invgamma-1.1-r35h6115d3f_0.tar.bz2”h0Œ@962d57502db94b5ec31824e693cf9a273671cd15a314ee1166da17a83b7fbc55”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×““æ˜QìhEMFhFˆubh)”}”(hŒipyxact”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"ipyxact-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ ebd2c32c903d7e4de98aea7bfe757950”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ipyxact-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6694dd8e5384665d86de85f15f5b10b106c92da1c2f38576edb0b834d08a1145”h2NhNh3Œpython >=3.7”Œpyyaml”†”h9h?h@ŒMIT”hBŒMIT”hDGAØª§D­¡ËhEJÃÕ hFˆubh)”}”(hŒr-phylotate”h#Œ1.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-phylotate-1.3-r40hc72bb7e_1.tar.bz2”h+Œ 6e8e2c90cb34a5d42e11063058b4b5fa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-phylotate-1.3-r40hc72bb7e_1.tar.bz2”h0Œ@55ecd0ce45c16d4168560b17c6e3b55f159b3d5e2e72a333b05c5f9964ba176d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+	ÚMÓhEJ¶ hFˆubh)”}”(hŒrb-jmespath”h#Œ1.4.0”h%Œ
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r-sparsepp”h#Œ1.22”h%Œr35_2002”h'MÒhhh(h)hŒ r-sparsepp-1.22-r35_2002.tar.bz2”h+Œ 6ed4a507d732480389c9c0825e8ce8c5”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepp-1.22-r35_2002.tar.bz2”h0Œ@3cb3f1c736c97db9b55cb5f4a094c220dfc2685e6d25380214b18c3f56cf49ac”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×L0jg\)hEJKÐ hFˆubh)”}”(hŒpytest-ignore-flaky”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒ&pytest-ignore-flaky-1.0.0-py_0.tar.bz2”h+Œ 07dd6bea3e1857653550c84dec455095”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pytest-ignore-flaky-1.0.0-py_0.tar.bz2”h0Œ@d03420f125785d62e7eae59c493a6ef4c28d116dbed339738e71b96422f47159”h2NhNh3Œpytest >=2.7”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×4 ½Á™šhEMÈhFˆubh)”}”(hŒr-palr”h#Œ0.3.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-palr-0.3.0-r42hc72bb7e_1.tar.bz2”h+Œ 8251ee13c2f1f107f982f934325f92ea”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-palr-0.3.0-r42hc72bb7e_1.tar.bz2”h0Œ@b1e4e1a1359cf71bb28b2c63bd7c6d5b82f75279547b448cdabe5b6f27808b16”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐ÷k4jhEJùÿ hFˆubh)”}”(hŒr-pathological”h#Œ0.1_2”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ-r-pathological-0.1_2-r42hc72bb7e_1003.tar.bz2”h+Œ 9f287c7120f197b0ad1f38ef143a95e7”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pathological-0.1_2-r42hc72bb7e_1003.tar.bz2”h0Œ@ae7ba2b1b713a555d5dd60fd34228a4ded36c9fa29b4e6ebd145c2f833ecd018”h2NhNh3(Œr-assertive.base >=0.0_3”Œr-assertive.files”Œr-assertive.numbers”Œr-assertive.properties”Œr-assertive.reflection”Œr-assertive.strings”Œr-assertive.types”Œr-base >=4.2,<4.3.0a0”Œ
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r-elliptic”h#Œ1.4_0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-elliptic-1.4_0-r35h6115d3f_0.tar.bz2”h+Œ 69982a5222cd7c5e720af95ed817919a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elliptic-1.4_0-r35h6115d3f_0.tar.bz2”h0Œ@adc97c7fa94acea100fbbb3f0240cb9b39c3e6d5a7be3d52673d004f2cab7d18”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×B­œg®hEJRŸ hFˆubh)”}”(hŒr-rismed”h#Œ2.3.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-rismed-2.3.0-r41hc72bb7e_1.tar.bz2”h+Œ 161458b17ca01f6bca21f439572a2748”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rismed-2.3.0-r41hc72bb7e_1.tar.bz2”h0Œ@be99b7e89b9346dc7404b654d3d956e23faa71cad10643dff23bc31b23067408”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr”Œr-xml2”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑLüC¶FhEJÿÄ hFˆubh)”}”(hŒnapari-btrack-reader”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/napari-btrack-reader-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7217285c84f6bb26ea552cee6d4e5237”h.Œ]https://conda.anaconda.org/conda-forge/noarch/napari-btrack-reader-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@743a1346bf230ecd6c0b1d26c8f4f4a8ced077c8587a72791660ec05daca2f22”h2NhNh3Œbtrack >=0.4.0”Œnapari-plugin-engine >=0.1.4”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‘Ä²×
hEMÅ&hFˆubh)”}”(hŒsarge”h#Œ0.1.6”h%Œpyh44b312d_0”h'K hhh(h)hŒ sarge-0.1.6-pyh44b312d_0.tar.bz2”h+Œ 0985ebeed2eaa5a23967fada95412d60”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sarge-0.1.6-pyh44b312d_0.tar.bz2”h0Œ@51c44e6f24aecb5ac54c7e90a68b2ceff31b634b4ae784c81879d046cd9c304b”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-clause”hBŒBSD”hDGAØIÞ€1'hEMíPhFˆubh)”}”(hŒr-gamm4”h#Œ0.2_6”h%Œr35h6115d3f_0”h'K hhh(h)hŒ#r-gamm4-0.2_6-r35h6115d3f_0.tar.bz2”h+Œ c061e24da963adb4f692ab5a7f2c1aca”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gamm4-0.2_6-r35h6115d3f_0.tar.bz2”h0Œ@572b3f963afc13288e516c9bc920bad3297345ce2d555aa05d847b438ebe5275”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-lme4 >=0.999375_31”Œr-matrix”Œr-mgcv >=1.7_23”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¢vº^hEJ8 hFˆubh)”}”(hŒnapari”h#Œ0.4.15”h%Œpyh275ddea_1_pyqt”h'Khhh(h)hŒ'napari-0.4.15-pyh275ddea_1_pyqt.tar.bz2”h+Œ 36afe6da9a268b59552bd7a149f43931”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/napari-0.4.15-pyh275ddea_1_pyqt.tar.bz2”h0Œ@88dfba601860e9d846d810e0d6611e44e0aa8470b0a3632143b8d90bbe8a4cfe”h2NhNh3(Œappdirs >=1.4.4”Œcachey >=0.2.1”Œcertifi >=2020.6.20”Œdask >=2.15.0,!=2.28.0”Œfsspec”Œimageio >=2.5.0,!=2.11.0”Œjsonschema >=3.2.0”Œmagicgui >=0.3.6”Œnapari-console >=0.0.4”Œnapari-plugin-engine >=0.1.9”Œnapari-svg >=0.1.4”Œnpe2 >=0.1.1”Œnumpy >=1.18.5”Œnumpydoc >=0.9.2”Œpandas >=1.3.0”Œpillow !=7.1.0,!=7.1.1”Œpint >=0.17”Œpooch >=1.3.0”Œpsutil >=5.0”Œpydantic >=1.9.0”Œpyopengl >=3.1.0”Œpyqt >=5.12.3,!=5.15.0”Œpython >=3.8,<3.11.0a0”Œpyyaml >=5.1”Œqtpy >=1.7.0”Œscikit-image >=0.18.1,!=0.19.0”Œscipy >=1.4.0”Œsuperqt >=0.2.5”Œtifffile >=2020.2.16”Œtoolz >=0.10.0”Œtqdm >=4.56.0”Œtyping_extensions”Œvispy >=0.9.6,<0.10”Œwrapt >=1.11.1”Œzarr”t”h9h?h@ŒBSD-3-Clause AND MIT”hDGAØ™ñ¯ÞÙhEJË$  hFˆubh)”}”(hŒr-gpca”h#Œ1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ r-gpca-1.0-r35h6115d3f_0.tar.bz2”h+Œ 4d5118ae9f3e0a3226a36ced3271079d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-gpca-1.0-r35h6115d3f_0.tar.bz2”h0Œ@4a3aae4a66f2af06e1f0b8228a745761d18fb2e263828d4bfe3ba3d0e675fe6c”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×d¤†hEJ$@ hFˆubh)”}”(hŒr-tcpl”h#Œ3.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ"r-tcpl-3.0.1-r42hc72bb7e_0.tar.bz2”h+Œ 94539a11c8e96f7f9adcbf72fc6acb60”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tcpl-3.0.1-r42hc72bb7e_0.tar.bz2”h0Œ@04c9ad597c106ba5398e9f0f15b994d7de5b9076018438b65aac14a263439ec6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.9.4”Œr-dbi”Œr-dplyr”Œ	r-ggplot2”Œr-gridextra”Œ
r-numderiv”Œr-plotly”Œr-rcolorbrewer”Œ
r-rmariadb”Œr-sqldf”Œ	r-stringr”Œ
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r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÍÌ
OKÇhEJkÏD hFˆubh)”}”(hŒ
flake8-rst”h#Œ0.7.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%flake8-rst-0.7.2-pyh9f0ad1d_0.tar.bz2”h+Œ b9ff930d8b514c8972032f4206e6a5c5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/flake8-rst-0.7.2-pyh9f0ad1d_0.tar.bz2”h0Œ@f8134694d22f673942ecefaac3a9a65a537b40e8bd9087d8f19c327829d26584”h2NhNh3Œflake8 >=3.5.0”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×¸FlÇ®hEM6hFˆubh)”}”(hŒpython-dateutil”h#Œ2.8.1”h%Œpy_0”h'K hhh(h)hŒ"python-dateutil-2.8.1-py_0.tar.bz2”h+Œ 0d0150ed9c2d25817f5324108d3f7571”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.1-py_0.tar.bz2”h0Œ@5bf47c858f799d475299f0926fd665b0f07c6ace873b866707856418f69d5c71”h2NhNh3Œpython”Œsix”†”h9h?h@ŒBSD 3 Clause”hDGA×o¸:n˜hEJIn hFˆubh)”}”(hŒlibxrandr-cos7-aarch64”h#Œ1.5.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ2libxrandr-cos7-aarch64-1.5.1-hdf0574f_1102.tar.bz2”h+Œ 89c9b5797d968ae95d9c3e793fbc72d2”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-aarch64-1.5.1-hdf0574f_1102.tar.bz2”h0Œ@d5807e4d9dd45b22b913bb5f564c7dec7d0678f49e68b2a3f48c776216f2694a”h2NhNh3Œ"libx11-cos7-aarch64 >=1.6.0 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åi"K¶FhEMk^hFˆubh)”}”(hŒspectra”h#Œ0.0.11”h%Œpy_0”h'K hhh(h)hŒspectra-0.0.11-py_0.tar.bz2”h+Œ 87771d36053cb064308aec6a4135bcfa”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/spectra-0.0.11-py_0.tar.bz2”h0Œ@9308fdd487fdf9732a7e06d2fa48545143fef4c91e46388c7ccda9e0c69798fc”h2NhNh3Œcolormath ==3.0.0”Œnetworkx ==2.0”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hEMÄIhFˆubh)”}”(hŒ	pyswagger”h#Œ0.8.39”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%pyswagger-0.8.39-pyh9f0ad1d_0.tar.bz2”h+Œ 2150402c6f6ff0fd3da16b192032bb6c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyswagger-0.8.39-pyh9f0ad1d_0.tar.bz2”h0Œ@231fd20e6048e52432ef02c862b56e5bdbaabdb21fe2373ba1d6f638de051a1f”h2NhNh3(Œpyaml >=15.03.1”Œpython”Œsix >=1.7.2”Œvalidate_email”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¸¿¶9XhEMD¸hFˆubh)”}”(hŒlibice-cos6-x86_64”h#Œ1.0.6”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libice-cos6-x86_64-1.0.6-h9d98e8f_104.tar.bz2”h+Œ 2ffbed538dd604b03467c1222df1d1b5”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libice-cos6-x86_64-1.0.6-h9d98e8f_104.tar.bz2”h0Œ@27a3d280c91fb4d3e9a3d1c9f95087ae2fab2f9a01b5458967bc3063f4c3da87”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyOßhEMÙhFˆubh)”}”(hŒlibxau-cos6-x86_64”h#Œ1.0.6”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.libxau-cos6-x86_64-1.0.6-hdf0574f_1102.tar.bz2”h+Œ 69f2a8e8b3692b18f3d23a1b9f4ade29”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos6-x86_64-1.0.6-hdf0574f_1102.tar.bz2”h0Œ@1637a43c7caf34cf7dcfb5cd561f02bc184e4dcebfba36f4b6ad2e2ef8a31c9e”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ñ\í‘hEMeNhFˆubh)”}”(hŒmesa-libegl-devel-cos6-x86_64”h#Œ11.0.7”h%Œhdf0574f_102”h'Kfhhh(h)hŒ9mesa-libegl-devel-cos6-x86_64-11.0.7-hdf0574f_102.tar.bz2”h+Œ 248cbc20059acb1880f16d5e593b5b74”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos6-x86_64-11.0.7-hdf0574f_102.tar.bz2”h0Œ@6f2af9b62fdad08c01bd40d8ecd9370cc57d5d7c9e93723d70c3006e2f62d90c”h2NhNh3Œ&mesa-libegl-cos6-x86_64 ==11.0.7 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+1\ZhEMÂDhFˆubh)”}”(hŒnc-time-axis”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 281b58948bf60a2582de9e548bcc5369”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@345d51b39f603a6717e43a998adaac35764467a4cf2bfec8f1963b9a7ced2a36”h2NhNh3(Œcftime >=1.5”Œmatplotlib-base”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ˜ñ¶éyhEM{HhFˆubh)”}”(hŒ
r-elliptic”h#Œ1.4_0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ&r-elliptic-1.4_0-r41hc72bb7e_3.tar.bz2”h+Œ 620fac0a4d3fdcb3b7f9620a121ca0e4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elliptic-1.4_0-r41hc72bb7e_3.tar.bz2”h0Œ@069de5013677d5ac1127cad6f4cd2837484a6c5ecca1457916def4f58b549043”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÐ„œMp¤hEJU¾ hFˆubh)”}”(hŒnapari-micromanager”h#Œ0.0.1rc7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1napari-micromanager-0.0.1rc7-pyhd8ed1ab_0.tar.bz2”h+Œ 3a02db73a4bbb5f9a77b8e63dd33b3e3”h.Œ_https://conda.anaconda.org/conda-forge/noarch/napari-micromanager-0.0.1rc7-pyhd8ed1ab_0.tar.bz2”h0Œ@95a2ae323cb3e6b4d7b43cc2f45c45d63ebde1b6b5d6c500c6c6009ffcd16bd9”h2NhNh3(Œfonticon-materialdesignicons6”Œmagicgui >=0.3.0”Œnapari”Œpymmcore-plus >=0.1.5”Œpython >=3.8”Œscikit-image”Œtqdm”Œuseq-schema >=0.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡õu!&éhEJ w hFˆubh)”}”(hŒsysroot-cos7-ppc64le”h#Œ2.17”h%Œ
hbe0c576_7”h'Khhh(h)hŒ,sysroot-cos7-ppc64le-2.17-hbe0c576_7.tar.bz2”h+Œ 4fbd09827a85ae8ab29061b766a01120”•%      h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-ppc64le-2.17-hbe0c576_7.tar.bz2”h0Œ@fc59d1a898188545f483c0f1fab50e318ab0870b6ba19b674d928d66c44844a6”h2NhNh3Œsysroot_linux-ppc64le 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶úo×l‹hEM×hFˆubh)”}”(hŒtypes-itsdangerous”h#Œ1.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-types-itsdangerous-1.1.6-pyhd8ed1ab_0.tar.bz2”h+Œ 0605826ffa66b2db5835b31854b49fc0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/types-itsdangerous-1.1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@981cbfa46c4b5b48571c9de04b8fb8b17d35237cb501a6abe03e042897a783d6”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØh)õÝ/hEM_0hFˆubh)”}”(hŒr-ez”h#Œ4.4_0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ r-ez-4.4_0-r36h6115d3f_1.tar.bz2”h+Œ 658ed7a0c63838a8447c35bf957d7f43”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ez-4.4_0-r36h6115d3f_1.tar.bz2”h0Œ@0d47f5162b09d365d8ad62f263897ef7b93f855ca1e25a764ac22cd60ec90cce”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-car >=2.1_3”Œr-ggplot2 >=2.1.0”Œr-lme4 >=1.1_12”Œr-mass >=7.3_45”Œr-matrix >=1.2_7.1”Œr-mgcv >=1.8_12”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”Œr-scales >=0.4.0”Œr-stringr >=1.1.0”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬‰(Õ¡ËhEJg hFˆubh)”}”(hŒpooch”h#Œ1.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pooch-1.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6429e1d1091c51f626b5dcfdd38bf429”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pooch-1.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1f0548105de86fb2eb6fbb8d3d6cc2004079b8442d232258108687d6cc91eb73”h2NhNh3(Œappdirs >=1.3.0”Œpackaging >=20.0”Œpython >=3.6”Œrequests >=2.19.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ{¬ ÎÙhEM'¯hFˆubh)”}”(hŒpciutils-libs-cos7-aarch64”h#Œ3.5.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5pciutils-libs-cos7-aarch64-3.5.1-h9b0a68f_105.tar.bz2”h+Œ b75cbc533d4c875b35a71e3d53b28a5e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-aarch64-3.5.1-h9b0a68f_105.tar.bz2”h0Œ@6377abae6a380a73dd5ae7ec23bab56d81c535c9e59fed83e6cc9ebe2574a1c3”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@Vo‘hshEM¿šhFˆubh)”}”(hŒtracktable-data”h#Œ1.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*tracktable-data-1.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ aa893114c100dcc085be8d655c37e8b5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/tracktable-data-1.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3a27c7322fa353208e1ead3aa986f1fe9957449217165a9e10d03414d6b773dd”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ– 1í²-hEJ\â>hFˆubh)”}”(hŒr-mosaicdata”h#Œ0.20.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-mosaicdata-0.20.3-r42hc72bb7e_1.tar.bz2”h+Œ b2041cb3afe81db23c3afef3a2f10f94”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mosaicdata-0.20.3-r42hc72bb7e_1.tar.bz2”h0Œ@6ec0be222126cb956dcb98f523df84dce5e8b99885390929f749c3003fbcc94a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ&=l‹DhEJýV hFˆubh)”}”(hŒorange3-textable”h#Œ3.1.11”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,orange3-textable-3.1.11-pyhd8ed1ab_1.tar.bz2”h+Œ 995333e30ede8fc107b76cffd18117b0”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/orange3-textable-3.1.11-pyhd8ed1ab_1.tar.bz2”h0Œ@1abe907e0b37905170d6b2898cafa29642fea14304c892d67061018b7f41454e”h2NhNh3(Œappdirs”Œchardet”Œfuture”Œlttl >=2.0.12”Œorange3 >=3.14.0”Œ	pycountry”Œ
python >=3”Œ
setuptools”Œtreetaggerwrapper”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ„
o‚~úhEJyë hFˆubh)”}”(hŒruptures”h#Œ1.0.6”h%Œpy_0”h'K hhh(h)hŒruptures-1.0.6-py_0.tar.bz2”h+Œ 99307620cbe16b5a1548297daacf8e17”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/ruptures-1.0.6-py_0.tar.bz2”h0Œ@abd1c5e513ac654317a7546c3e039e114a7eb565761433381e5946eedad6b7f7”h2NhNh3Œnumpy”Œpython >=3.4”Œscipy”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×å±Ò¶FhEMédhFˆubh)”}”(hŒmesa-libgbm-cos6-x86_64”h#Œ11.0.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4mesa-libgbm-cos6-x86_64-11.0.7-hdf0574f_1102.tar.bz2”h+Œ bc91e22fad3e782dd064229bc503b638”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos6-x86_64-11.0.7-hdf0574f_1102.tar.bz2”h0Œ@190b0a75cde1e29197e7e93951513d56b60dd67943d89c1068da37c66ecec10e”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+(‡+hEMÙ‚hFˆubh)”}”(hŒr-segregation”h#Œ0.6.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-segregation-0.6.0-r41hc72bb7e_0.tar.bz2”h+Œ 6686e4d1cc88674014b3c193e60faf61”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-segregation-0.6.0-r41hc72bb7e_0.tar.bz2”h0Œ@5b17bc5d59eb1ef99cecb663d25ee01ef314b7f2ba220f6a523adb6be450a7ba”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAØLD¶ÒòhEJÂÝ hFˆubh)”}”(hŒ	r-statnet”h#Œ2019.6”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-statnet-2019.6-r41hc72bb7e_2.tar.bz2”h+Œ 048a6aa68d71e878d613cf89cbd47cba”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-statnet-2019.6-r41hc72bb7e_2.tar.bz2”h0Œ@1daa49d6df28d3c3360c6e91b100b0b2d3375c0961285d4fa9f4ffe390778327”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ergm >=3.10.4”Œr-ergm.count >=3.3”Œr-network >=1.15”Œr-networkdynamic >=0.10”Œr-sna >=2.4”Œr-statnet.common >=4.2”Œr-tergm >=3.6.1”Œr-tsna >=0.3”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+é¼w;dhEM«hFˆubh)”}”(hŒgconf2-cos6-x86_64”h#Œ2.28.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ/gconf2-cos6-x86_64-2.28.0-ha826a6f_1103.tar.bz2”h+Œ 29c8a347957cc961bb849e2e06219209”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gconf2-cos6-x86_64-2.28.0-ha826a6f_1103.tar.bz2”h0Œ@48b72afa553185eb2278d69feecf229bdf6682a22b645b9f088d99cc68580026”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{×ïžhEJ’| hFˆubh)”}”(hŒallthekernels”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(allthekernels-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 91e21e16f1624188ff921521c579f85b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/allthekernels-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@01e376e22a034006f744f028ec05ad6386098ecc48cdaae4523507982dddf1b0”h2NhNh3(Œipykernel >=4.3”Œjupyter_client >=5”Œpython >=3.5”Œpyzmq >=15.2”Œtornado >=4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÀç‰†‡+hEM¾&hFˆubh)”}”(hŒ
r-nparcomp”h#Œ3.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-nparcomp-3.0-r36h6115d3f_1.tar.bz2”h+Œ b79461a9028543abdbc77414666985a8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nparcomp-3.0-r36h6115d3f_1.tar.bz2”h0Œ@3a79152d9a2540a18c9c2ff2d7e8ff50c3586c3a1d5deda81015aaaeec85b2a1”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-multcomp”Œ	r-mvtnorm”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×Ln’M‘hhEJ¹Ð hFˆubh)”}”(hŒpytest-doctest-ufunc”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/pytest-doctest-ufunc-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 95082275722a8867ae3699078a12d130”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pytest-doctest-ufunc-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@caab82e4aa5ce182f67bde2f00efec47f0d35177d9ec14a07026cdb12a097abe”h2NhNh3Œnumpy”Œpytest >=3.5.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ†^ªØr°hEMP hFˆubh)”}”(hŒnss-softokn-cos6-x86_64”h#Œ3.14.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3nss-softokn-cos6-x86_64-3.14.3-h9b0a68f_105.tar.bz2”h+Œ 919f8c2709c4bc6d391c7a1077ad182c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos6-x86_64-3.14.3-h9b0a68f_105.tar.bz2”h0Œ@95b02433aaa7bbadb9c5c939132a4bd0f3499ad496620fa3c2120fc15d59c1f3”h2NhNh3Œnspr-cos6-x86_64 >=4.10.6 *_105”Œ-nss-softokn-freebl-cos6-x86_64 >=3.14.3 *_105”Œ#nss-util-cos6-x86_64 >=3.15.1 *_105”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@ZñÅÂhEJâ hFˆubh)”}”(hŒr-jquerylib”h#Œ0.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-jquerylib-0.1.4-r42hc72bb7e_1.tar.bz2”h+Œ 3fdf2ae56994f7ca07c8225d91914cb9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-jquerylib-0.1.4-r42hc72bb7e_1.tar.bz2”h0Œ@8cb9b663499866c411d9c11fb9e833585c0c7ccc5a5aac146ce5ca57aeb52eb2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmltools”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ.O‹DhEJÇ hFˆubh)”}”(hŒcorral-pipeline”h#Œ0.3”h%Œpy_0”h'K hhh(h)hŒ corral-pipeline-0.3-py_0.tar.bz2”h+Œ 4d4b4f2f77a2e0b73c0f1fc6842bac17”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/corral-pipeline-0.3-py_0.tar.bz2”h0Œ@e6df5cbaccdc5d3c1afc2e3c4c5dba72dc64a57b55d3c9ff10fbc9647d077205”h2NhNh3(Œalembic >=0.8.4”Œattrs >=16.2.0”Œcoverage >=4.0.3”Œflake8 <3.0.0”Œjinja2 >=2.8”Œmock >=1.3.0”Œpython”Œsadisplay >=0.4.6”Œ	sh >=1.11”Œsix >=1.10.0”Œsnakeviz >=0.4.1”Œsqlalchemy >=1.0.8”Œsqlalchemy-utils >=0.31.0”Œtermcolor >=1.1.0”Œtexttable >=0.8.3”Œxmltodict >=0.10.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×!`®@“uhEJ# hFˆubh)”}”(hŒ	descartes”h#Œ1.1.0”h%Œpy_1”h'Khhh(h)hŒdescartes-1.1.0-py_1.tar.bz2”h+Œ f539a37fd64e899701838d662dd87b32”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-py_1.tar.bz2”h0Œ@f4fd8d7a64b21b85e065a84b7bf33bce9e23f5c5dfc99c3c609cbd909d602a4c”h2NhNh3Œ
matplotlib”Œpython”†”h9h?h@ŒBSD”hEMhFˆubh)”}”(hŒlibxext-cos7-x86_64”h#Œ1.3.3”h%Œh1795305_1101”h'MMhhh(h)hŒ/libxext-cos7-x86_64-1.3.3-h1795305_1101.tar.bz2”h+Œ fcc467d2743d5244ff978b95cfe260ab”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-x86_64-1.3.3-h1795305_1101.tar.bz2”h0Œ@e9f4b192bc34bb6b6df689e9c2e4d2f99497b3a3c529497ba403374bc118f1b4”h2NhNh3Œlibx11-cos7-x86_64 >=1.5.99.902”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å& dIºhEM.“hFˆubh)”}”(hŒlibuuid-devel-cos7-ppc64le”h#Œ2.23.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libuuid-devel-cos7-ppc64le-2.23.2-h9d98e8f_104.tar.bz2”h+Œ f7218429833c330442ac1ccacf4f1e9e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-ppc64le-2.23.2-h9d98e8f_104.tar.bz2”h0Œ@d641ae7021d9f2f7367a99c206aa70d616f77ced1a02fdac01f148e57ff87cfa”h2NhNh3Œ#libuuid-cos7-ppc64le ==2.23.2 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Éz9¯ÎÙhEMJXhFˆubh)”}”(hŒcompas_convert”h#Œ0.1.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)compas_convert-0.1.4-pyhd8ed1ab_1.tar.bz2”h+Œ 05d178cb1b826808024f6378de9c2870”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/compas_convert-0.1.4-pyhd8ed1ab_1.tar.bz2”h0Œ@40090076cdbcb6509c9f5f7c2cc972f5a33654544a4c6a4270fd8e44f0b3969a”h2NhNh3Œcompas >=0.17.2,<1.11”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØb‹wh1'hEM2NhFˆubh)”}”(hŒr-rmagic”h#Œ2.0.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-rmagic-2.0.3-r35h6115d3f_0.tar.bz2”h+Œ 5d0fe1524d84ebb356dc385e202c739b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmagic-2.0.3-r35h6115d3f_0.tar.bz2”h0Œ@1b63b638fcc2059dd56d49d767a4a9ae071d280f2152e3084f6128292aeaee9f”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-matrix >=1.2_0”Œr-reticulate >=1.4”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×u¯y|ZhEJ•é( hFˆubh)”}”(hŒazure-storage-nspkg”h#Œ3.1.0”h%Œpy_0”h'K hhh(h)hŒ&azure-storage-nspkg-3.1.0-py_0.tar.bz2”h+Œ 354aa4b8a741506580573df78e237f4b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/azure-storage-nspkg-3.1.0-py_0.tar.bz2”h0Œ@4bf13e2d9b5278799d5db79473a1092a2333cdd2c7f050cbb7741ca395617a0a”h2NhNh3Œazure-nspkg >=2.0.0”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÖùý+è ÅhEM0hFˆubh)”}”(hŒsensorml2iso”h#Œ1.0.5”h%Œpy_0”h'K hhh(h)hŒsensorml2iso-1.0.5-py_0.tar.bz2”h+Œ d9bdfd520f4a7e31b6675ae6278637eb”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/sensorml2iso-1.0.5-py_0.tar.bz2”h0Œ@02a3e0ef2393fd9730b123ff85fef4ec0b12f3d33eaace9e7b736c2e8d9a5f05”h2NhNh3(Œ	geopandas”Œjinja2”Œlxml”Œnumpy”Œowslib”Œpandas”Œpyoos >=0.8.3”Œpython”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGA×õòÉ™šhEMJHhFˆubh)”}”(hŒr-shinytoastr”h#Œ2.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-shinytoastr-2.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 45c3f1dc8303cfde3d0d6c3c29fd20b9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinytoastr-2.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@e2a0133eb8206e42182aa2b0c69d0ae6d4f0733e6cf5dac611b24abc06db83b6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑFš	&éhEJøg hFˆubh)”}”(hŒr-waffle”h#Œ0.7.0”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ'r-waffle-0.7.0-r36h6115d3f_1001.tar.bz2”h+Œ 276c83a6688726fefa9b06f6b3a85ac8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waffle-0.7.0-r36h6115d3f_1001.tar.bz2”h0Œ@6e15be2474ab6ced2e76a3463a0ffae09b7bcade289d802fc8136e25224889b9”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-extrafont”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-gtable”Œr-rcolorbrewer”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LœnVhEJ% hFˆubh)”}”(hŒr-evmix”h#Œ2.12”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-evmix-2.12-r35h6115d3f_0.tar.bz2”h+Œ ba591879f963f1ce8040cd1f9c8cd773”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-evmix-2.12-r35h6115d3f_0.tar.bz2”h0Œ@eab08e29bf3099bcecfdb43313fa16ba244de76801d6a1d602035b8ddcb84133”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-gsl”Œr-mass”Œ	r-sparsem”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×[ FJn˜hEJÜK hFˆubh)”}”(hŒpyctm”h#Œ0.1”h%Œpy_1”h'Khhh(h)hŒpyctm-0.1-py_1.tar.bz2”h+Œ d13b9772ee6d0e95a2ab49307e19015f”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/pyctm-0.1-py_1.tar.bz2”h0Œ@49af645c39b669dd15d4e097af3def27d258dbe2da9ca36f57e0bc6942e0f26b”h2NhNh3Œpython”Œscikit-learn”Œsix”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×š™·
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r-lazyeval”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐW>ƒ¶FhEJÜ hFˆubh)”}”(hŒdjango-rest-auth”h#Œ0.9.5”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ+django-rest-auth-0.9.5-pyhd8ed1ab_1.tar.bz2”h+Œ 50bc156e9580604609b05ebf75a47e21”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/django-rest-auth-0.9.5-pyhd8ed1ab_1.tar.bz2”h0Œ@19cb3eded7c89ea41cb093f0e41ec3847077b247b997702afc4976278e8f86bd”h2NhNh3(Œdjango >=1.8.0”Œdjangorestframework >=3.1.3”Œpython >=3.6”Œsix >=1.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØeW6Š^5hEMƒ…hFˆubh)”}”(hŒlibxt-cos6-x86_64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-libxt-cos6-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 4bd87545d49416ad161a86f950794dff”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxt-cos6-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@5ea671d17dd23b756d17f851f9fb3c59c27532497716ba32afb981a854f29658”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É}îÑº^hEJ‰° hFˆubh)”}”(hŒmesa-libgl-cos6-x86_64”h#Œ11.0.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3mesa-libgl-cos6-x86_64-11.0.7-hdf0574f_1102.tar.bz2”h+Œ 110d5f2435509f12843f471a77e3ac9b”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos6-x86_64-11.0.7-hdf0574f_1102.tar.bz2”h0Œ@930082b7695422cf48e5a4cb2779928c5b0f757d64e6a0da4a70865c4cb44c1d”h2NhNh3Œ"libdrm-cos6-x86_64 >=2.4.24 *_1102”Œlibx11-cos6-x86_64 >1.6 *_1102”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å,*¾ffhEJÍÏ hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy39h1234567_3”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py39h1234567_3.tar.bz2”h+Œ 1715a1efbc97e003a529e996672c37f0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py39h1234567_3.tar.bz2”h0Œ@0806904d2e2099a7e09b91042483533e55d41c2b18c65ed5e82cef37b6f02a91”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
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r-devtools”Œ	r-kohonen”Œr-mass”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×îyÅ`BhEJZd hFˆubh)”}”(hŒr-sqldf”h#Œ0.4_11”h%Œr351h6115d3f_0”h'K hhh(h)hŒ%r-sqldf-0.4_11-r351h6115d3f_0.tar.bz2”h+Œ f95a928e7772fdcdf3f94d81972ca5cc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sqldf-0.4_11-r351h6115d3f_0.tar.bz2”h0Œ@642e5ac605869cfb7f74b06a7bb92730e568ec7b694a297372b15a19cf685324”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-chron”Œr-dbi”Œr-gsubfn >=0.6”Œr-proto”Œ	r-rsqlite”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×À´KÇhEJü\ hFˆubh)”}”(hŒr-rmeta”h#Œ3.0”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ$r-rmeta-3.0-r42hc72bb7e_1004.tar.bz2”h+Œ b49602c4b7e5170c6cb17f65b5e1d0f6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmeta-3.0-r42hc72bb7e_1004.tar.bz2”h0Œ@e3151cd2eb153f98cdb4dcc60d44ea7dcf507c91fd1406703ea47f731e9068c2”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ¹P“uhEJÓë hFˆubh)”}”(hŒchkconfig-cos7-aarch64”h#Œ1.7.6”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1chkconfig-cos7-aarch64-1.7.6-h9b0a68f_105.tar.bz2”h+Œ 4e55c4387235968931ec5f480ac19563”h.Œ_https://conda.anaconda.org/conda-forge/noarch/chkconfig-cos7-aarch64-1.7.6-h9b0a68f_105.tar.bz2”h0Œ@9be3251b5be6769cbf7b8f6942b7bb1c147c4f4cfc68aeaab8a52415181b6198”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@VÄ_®hEJý  hFˆubh)”}”(hŒr-pairwisecomparisons”h#Œ3.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ1r-pairwisecomparisons-3.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 5bc1d821829d23f7ba122d7b6c04111b”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-pairwisecomparisons-3.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@cf6db3c24ce21e644e44cfc615a2b3bbf66c4fab5ff3d3f796b8b4a82d659afd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-insight >=0.14.5”Œr-parameters >=0.15.0”Œr-pmcmrplus”Œr-purrr”Œr-rlang”Œr-statsexpressions >=1.2.0”Œr-wrs2 >=1.1_3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ[Äƒ€“uhEJ¾­ hFˆubh)”}”(hŒxcollection”h#Œ
2021.12.23”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+xcollection-2021.12.23-pyhd8ed1ab_0.tar.bz2”h+Œ 0b7554321d2f0ea233a963f69cbf0a3a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/xcollection-2021.12.23-pyhd8ed1ab_0.tar.bz2”h0Œ@424e222b6781cf87c0a85186fde7b545445d0cb45a1b49440ab8288a7c87b405”h2NhNh3(Œpydantic”Œpython >=3.7”Œtoolz”Œxarray”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØq9°Áë…hEMÖ=hFˆubh)”}”(hŒlibxrender-devel-cos7-aarch64”h#Œ0.9.10”h%Œha826a6f_103”h'Kghhh(h)hŒ9libxrender-devel-cos7-aarch64-0.9.10-ha826a6f_103.tar.bz2”h+Œ 6a8c2780d8141019121307e6fc44da41”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-aarch64-0.9.10-ha826a6f_103.tar.bz2”h0Œ@6eaefa6bba281cc38794bc6c13c2732e78a19905e17a3694fd2eed6e2e519775”h2NhNh3Œ&libxrender-cos7-aarch64 ==0.9.10 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2B bhEM0hFˆubh)”}”(hŒnss-cos6-x86_64”h#Œ3.36.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ,nss-cos6-x86_64-3.36.0-ha826a6f_1103.tar.bz2”h+Œ 65410ff99df14dc6b4ce2c6d20ae7857”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos6-x86_64-3.36.0-ha826a6f_1103.tar.bz2”h0Œ@afc5e31133ca04e11ff8a10b5153b35d8ea406653a163911573f8de66d1e0379”h2NhNh3(Œ nspr-cos6-x86_64 >=4.19.0 *_1103”Œ'nss-softokn-cos6-x86_64 >=3.14.3 *_1103”Œ$nss-util-cos6-x86_64 >=3.36.0 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ4~È´hEJ? hFˆubh)”}”(hŒaltair_saver”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒaltair_saver-0.5.0-py_0.tar.bz2”h+Œ 2998d1c771e6a191bf35cc8bc4cd9d03”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/altair_saver-0.5.0-py_0.tar.bz2”h0Œ@80fc86f2a6668e1a41bcaa78d031d0fd7473dfaa89e5595de0d7a813a446eafb”h2NhNh3(Œaltair”Œaltair_data_server >=0.4.0”Œaltair_viewer”Œnodejs”Œpython >=3.6”Œselenium”Œvega-cli”Œvega-lite-cli”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA× Ó[êJhEJsM hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-abind-1.4_5-r41hc72bb7e_1003.tar.bz2”h+Œ c3b114ca38b60ba36c29bfe3f267b851”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r41hc72bb7e_1003.tar.bz2”h0Œ@aad2505dbb597ea82fd0aa9063258ba7cfe169beca21411b2b31bccdca5c7f1b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGAØ*ÔB$ZhEJË1 hFˆubh)”}”(hŒlibxinerama-cos7-aarch64”h#Œ1.1.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libxinerama-cos7-aarch64-1.1.3-h9b0a68f_105.tar.bz2”h+Œ b110ba7952d6547378c02ce247c684cc”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-aarch64-1.1.3-h9b0a68f_105.tar.bz2”h0Œ@7875ade7c944e766586c3eac32287c85f9184dfd8ecfc7cb6491318bfdfc93e9”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^…¡ËhEMA,hFˆubh)”}”(hŒ	r-shinyjs”h#Œ2.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-shinyjs-2.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 2bc89cab69392f20c2aeab0213c8e6af”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-shinyjs-2.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@72bfe076491728282c8f00547a44afd9df187a9b41c7ab288b7c98c4a6388153”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest >=0.6.8”Œr-htmltools >=0.2.9”Œ
r-jsonlite”Œr-shiny >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØqºy7LhEJ¿ hFˆubh)”}”(hŒ
r-xlsxjars”h#Œ0.6.1”h%Œr40h6115d3f_3”h'Khhh(h)hŒ&r-xlsxjars-0.6.1-r40h6115d3f_3.tar.bz2”h+Œ a59be20d6a6358976d7a447f773b8fdf”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xlsxjars-0.6.1-r40h6115d3f_3.tar.bz2”h0Œ@10a67a0c0e3ce2a1105e6074376bf99e44962ab367ae652878d6f65c2cd95796”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×À÷LïïžhEJšÉ hFˆubh)”}”(hŒr-squash”h#Œ1.0.9”h%Œr36_0”h'K hhh(h)hŒr-squash-1.0.9-r36_0.tar.bz2”h+Œ 406c92d32967f401a0b2adf96556334e”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-squash-1.0.9-r36_0.tar.bz2”h0Œ@cf7610d7e01c1a89851ec259480baa16e784c98ba9388245239962a52fa58673”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA×“
Æ‡+hEJn_ hFˆubh)”}”(hŒexpat-cos7-aarch64”h#Œ2.1.0”h%Œha826a6f_103”h'Kghhh(h)hŒ-expat-cos7-aarch64-2.1.0-ha826a6f_103.tar.bz2”h+Œ ccf7812f5b523b4f64d2c3db3b5f8fb4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/expat-cos7-aarch64-2.1.0-ha826a6f_103.tar.bz2”h0Œ@c33c1f8dd9214d04da3404b7b47983ae0fa8cb14d3fad4f5350dcd2b5f7bc643”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/b;çmhEJÒM hFˆubh)”}”(hŒdjango-cachalot”h#Œ2.1.0”h%Œpy_0”h'K hhh(h)hŒ"django-cachalot-2.1.0-py_0.tar.bz2”h+Œ 0c9c584473e5da458eb373b5c424d93e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/django-cachalot-2.1.0-py_0.tar.bz2”h0Œ@68ac7b013925f1f89882ee86efe7607afa2f35d45f438f1a3bf9d180a0187ccc”h2NhNh3Œdjango >=1.8”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÛ0š¸hEM1hFˆubh)”}”(hŒr-cmm”h#Œ0.12”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ r-cmm-0.12-r40hc72bb7e_0.tar.bz2”h+Œ ae018c656df0f86e2cf50cc7a69f3b69”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cmm-0.12-r40hc72bb7e_0.tar.bz2”h0Œ@6ebf28f947244ec960cb05d9b9f7154045ecb577ff74af23a140c6a8cd4c3bdc”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØoŠ±
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healsparse”Œlsstdesc.coord”Œnumpy”Œpython >=3.7”Œpyyaml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØTÈØå`hEMªUhFˆubh)”}”(hŒmore-itertools”h#Œ9.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)more-itertools-9.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9b6ad26944f19f599800b068e0582227”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/more-itertools-9.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9b13d47aab2ee2708157bf90244915652b9d2ceaee9952694cfd5caff3559fbc”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÓ´ùT¼jhEM6·hFˆubh)”}”(hŒr-tidyconsultant”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-tidyconsultant-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 0d5074a4cce789948889db904071d825”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tidyconsultant-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@e71eba58c37125f6c4c24bc3af9efdb3e8a93b990b441c01c14508049faa20cf”h2NhNh3(Œr-autostats”Œr-badger”Œr-base >=4.2,<4.3.0a0”Œr-framecleaner”Œr-pacman”Œr-presenter”Œ
r-tidybins”Œ
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r-v8 >=1.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ$þÇ hEJrÌ hFˆubh)”}”(hŒr-mlmrev”h#Œ1.0_8”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-mlmrev-1.0_8-r36h6115d3f_0.tar.bz2”h+Œ 6383425ff73dd67493eca7f1da8451c6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mlmrev-1.0_8-r36h6115d3f_0.tar.bz2”h0Œ@b2a703909a9bda15f9c66038ee96433218a8daf915469a3d80654bd48690ccdf”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-lme4”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¢a’Œ›¦hEJ Ø hFˆubh)”}”(hŒr-sticky”h#Œ0.5.6.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-sticky-0.5.6.1-r42hc72bb7e_1.tar.bz2”h+Œ 24359481f4e18c2c2e1c3bac1b22c463”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sticky-0.5.6.1-r42hc72bb7e_1.tar.bz2”h0Œ@e6bc8bc7abcbde2f227ae0049df54116a076ab807126db1a5064e47de6b9392a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ
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matplotlib”Œnumpy”Œpandas”Œpyqt >=5”Œ	pyqtgraph”Œ
python >=3”Œscikit-image”Œscipy”Œseaborn”Œ
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GPL (>= 3)”hBŒGPL3”hDGAØÑ?=Ø“uhEMõÁhFˆubh)”}”(hŒr-dlookr”h#Œ0.6.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-dlookr-0.6.1-r41hc72bb7e_0.tar.bz2”h+Œ 9e4ed8cf769d8d6ba2fb3185f0280c83”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dlookr-0.6.1-r41hc72bb7e_0.tar.bz2”h0Œ@01af60c7dd96ab647205e680c497b5489339a393c39f56a747be746ae41d13b4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.6”Œr-ggplot2 >=3.0.0”Œr-gridextra”Œr-hrbrthemes >=0.8.0”Œr-htmltools”Œr-kableextra”Œr-knitr >=1.22”Œr-mice”Œr-pagedown >=0.15”Œ
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Apache-2.0”hBŒApache”hDGAÖñDý5?}hEM&hFˆubh)”}”(hŒmorph”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ morph-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 6edbcc04837f91eaf0429f59a2cfc0f0”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/morph-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@8d12c4e55032434b97136c34ea00cfff65f342659e3e37e51b1522e46d5a855b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØŒ)j§ïžhEM9ihFˆubh)”}”(hŒmesa-dri-drivers-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9mesa-dri-drivers-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h+Œ d9f7731ab031a080eac17c5bd35f5e03”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@a7da0e422a92ec6b4f9d0ca660ebdee48814caea3adc7f0716401b912b73fbc2”h2NhNh3Œ"libdrm-cos7-aarch64 >=2.4.83 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Y9A‡hEJå0˜hFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-ppc64le”h#Œ2018.4”h%Œha826a6f_103”h'Kghhh(h)hŒ=xorg-x11-proto-devel-cos7-ppc64le-2018.4-ha826a6f_103.tar.bz2”h+Œ 6dff91df4f2b682786bca53bba6c55a1”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-ppc64le-2018.4-ha826a6f_103.tar.bz2”h0Œ@435ebe4217ecaf9c7975924ab07bbf23aa096388bb4c0a0f28bfbb57d19f0f63”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/¢×
hEJDˆ hFˆubh)”}”(hŒ	r-rmtstat”h#Œ0.3.1”h%Œr42ha770c72_1”h'Khhh(h)hŒ%r-rmtstat-0.3.1-r42ha770c72_1.tar.bz2”h+Œ c7bfc214243b12ed59b15b7251ce0157”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rmtstat-0.3.1-r42ha770c72_1.tar.bz2”h0Œ@1cf96cd437bcdf12fb6b8d651e028e7cc8305aae1321e8f7b4685d2c60e0a70a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÑL×¼¬hEJBí hFˆubh)”}”(hŒr-teachingdemos”h#Œ2.12”h%Œr35h6115d3f_0”h'K hhh(h)hŒ*r-teachingdemos-2.12-r35h6115d3f_0.tar.bz2”h+Œ 4f0b3e55f22d6158951b9d1ab00ef220”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-teachingdemos-2.12-r35h6115d3f_0.tar.bz2”h0Œ@5a57445c2767307ded9b933b89d7214405f04b0f0bbb291a1c27053338a76285”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA×£r»:Ÿ¾hEJŽ  hFˆubh)”}”(hŒkmod-cos7-aarch64”h#Œ20”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ*kmod-cos7-aarch64-20-h9b0a68f_1105.tar.bz2”h+Œ 4eb9b832eac1140c915430f2e882d39f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/kmod-cos7-aarch64-20-h9b0a68f_1105.tar.bz2”h0Œ@e73b4b7f35928e6586bdccfbb30e664f574cdcd635743a7c307654f82c153f5d”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@†Ž5VhEJ}ê hFˆubh)”}”(hŒr-pzfx”h#Œ0.3.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-pzfx-0.3.0-r42hc72bb7e_1.tar.bz2”h+Œ e101c80ea8b4edaaa442a1395f0e675d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pzfx-0.3.0-r42hc72bb7e_1.tar.bz2”h0Œ@49a20f9ab2d3207a0708cb5e9f18946d685a18c9ebca6ccfffb1ded19f906692”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-xml2 >=1.2.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ0^¶vÉhEJ
 hFˆubh)”}”(hŒdask-searchcv”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ dask-searchcv-0.2.0-py_0.tar.bz2”h+Œ a5db7dd47a32ca0249aea5ad5c2d3c23”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dask-searchcv-0.2.0-py_0.tar.bz2”h0Œ@e4a8b1280109aa7e39ca3f2855855e3340ce4e843bce82f456af05116adc1eb0”h2NhNh3(Œdask >=0.14.0”Œnumpy >=1.8.0”Œpython”Œscikit-learn >=0.18.0”Œscipy >=0.13.0”Œtoolz >=0.8.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEM*…hFˆubh)”}”(hŒcosmix”h#Œ0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcosmix-0.1-pyhd8ed1ab_0.tar.bz2”h+Œ f87f7c08f9c7a01ad889ae020ecd170c”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cosmix-0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@463a69dbcd38ef432866f07f77326dd6ab9fc157fd39bc0596a093ec5fe73e87”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.7”Œscipy”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ7‡î¡ËhEM|whFˆubh)”}”(hŒr-pack”h#Œ0.1_1”h%Œr36_1002”h'Mêhhh(h)hŒr-pack-0.1_1-r36_1002.tar.bz2”h+Œ 5f21339bc8c58cc4821d6106d3d1ae63”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-pack-0.1_1-r36_1002.tar.bz2”h0Œ@996bc01c8b3810320b0997336a9a2d3d3aec65b2b955e76f62035261c032d0b7”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¬œ3—
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cheap_repr”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%cheap_repr-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 55ae5ae4faa221127f6a35ee4cb3b256”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/cheap_repr-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3f125ace0de7f5e8bd236462444128c535d467db20365f9fce81ac3ef89a5a39”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØY(ñhshEMG8hFˆubh)”}”(hŒ	r-conting”h#Œ1.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-conting-1.7-r40hc72bb7e_0.tar.bz2”h+Œ 0ea62123ea3e647cd85d1db0b9890e7c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-conting-1.7-r40hc72bb7e_0.tar.bz2”h0Œ@b747c0753e87f8627b6f6883bcd44516af4681fd809817871b88dbbe01b19a2d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bms”Œr-coda”Œr-gtools”Œ	r-mvtnorm”Œ	r-tseries”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ;(r^5hEJ‰| hFˆubh)”}”(hŒr-yarrr”h#Œ0.1.5”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ&r-yarrr-0.1.5-r40hc72bb7e_1002.tar.bz2”h+Œ 60e273ce55f08435e7e372ef603bd7de”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-yarrr-0.1.5-r40hc72bb7e_1002.tar.bz2”h0Œ@2206a0080fecdfd888b6c37a7fefccd5003028b542762a4bbc63b131afc52d94”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bayesfactor”Œ
r-circlize”Œr-jpeg”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+AÀ­`BhEJˆr< hFˆubh)”}”(hŒr-ggdark”h#Œ0.2.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-ggdark-0.2.1-r36h6115d3f_0.tar.bz2”h+Œ f920eb49c7ee4fccec7858a91f333e46”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggdark-0.2.1-r36h6115d3f_0.tar.bz2”h0Œ@2de2a32e44e4cb81780d330ec6addaa1af60d132cdc12169408d7ce62048b720”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=3.0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Ö-xEÂhEJÐ  hFˆubh)”}”(hŒcelery”h#Œ5.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!celery-5.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ c3f3af823b567fb158371deb5adcac9a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/celery-5.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@29147bee99f53bac60608eb3ce75e7fc527671dddbc0f304acda2fe6eb446a6f”h2NhNh3(Œbilliard >=3.6.4.0,<4.0”Œclick >=7.0,<8.0”Œclick-didyoumean >=0.0.3”Œclick-plugins >=1.1.1”Œclick-repl >=0.1.6”Œcryptography”Œkombu >=5.1.0,<6.0”Œpython >=3.6”Œpytz”Œ
setuptools”Œvine >=5.0.0,<6.0”t”h6Œsphinx >=2.0”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ6µÏß;hEJg hFˆubh)”}”(hŒ
fenics-ufl”h#Œ2019.1.0”h%Œpy_1”h'Khhh(h)hŒ fenics-ufl-2019.1.0-py_1.tar.bz2”h+Œ 7dbb5ab9a476c69bf03ecd3388ac0bda”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2019.1.0-py_1.tar.bz2”h0Œ@6df6bb16bf9749894877bdabf4c7db7e843aff53ade93e415fcfb0d071f19ff1”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×2©ÈÔþhEJEš hFˆubh)”}”(hŒ
startables”h#Œ0.8.5”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%startables-0.8.5-pyhd8ed1ab_1.tar.bz2”h+Œ aca0f730a2cfe5254a3012d7f5c76f40”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/startables-0.8.5-pyhd8ed1ab_1.tar.bz2”h0Œ@f7c9d5e7eea1ab09e571a8dc3a1f6bf0032e51694b0b81b7b623616ba8ef2e6f”h2NhNh3(Œnumpy”Œopenpyxl”Œpandas”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×÷,|â^5hEMgƒhFˆubh)”}”(hŒr-wikipedir”h#Œ1.5.0”h%Œr36_1003”h'Mëhhh(h)hŒ"r-wikipedir-1.5.0-r36_1003.tar.bz2”h+Œ 2176de3450c5d796c8a0373b9837fe5f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-wikipedir-1.5.0-r36_1003.tar.bz2”h0Œ@1a4bcc2a3abb82ed70ffe82b6caf77e8d56f5dd5190d73d10805c2afa7474133”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×«Ü®Ø1'hEJðQ hFˆubh)”}”(hŒfork-purger”h#Œ21.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'fork-purger-21.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2b1982a26cfa299ad745401ffef97db8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/fork-purger-21.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@3771c8234afed9524637f8e6f75627db1906123bdd7e2056b6a4101ab652d8c4”h2NhNh3(Œanyio”Œ	click >=7”Œh2”Œhttpx >=0.16.0”Œpython >=3.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØanHRMÓhEMº$hFˆubh)”}”(hŒnspr-cos7-ppc64le”h#Œ4.21.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-nspr-cos7-ppc64le-4.21.0-h9b0a68f_105.tar.bz2”h+Œ b2594546f744d947a1b33ad0d7cbf02b”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-ppc64le-4.21.0-h9b0a68f_105.tar.bz2”h0Œ@fa2759478a9610cccb014877843ffbcd6d5295157cef9fb5702062c5012bb2c0”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@ˆ£÷l‹hEJÓ: hFˆubh)”}”(hŒlibselinux-cos7-aarch64”h#Œ2.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1libselinux-cos7-aarch64-2.5-h9b0a68f_1105.tar.bz2”h+Œ a9db529050cfd60c67f5706e04520179”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-aarch64-2.5-h9b0a68f_1105.tar.bz2”h0Œ@6ffd85cf23fe156c839931d4cb507e407ce50eb46772cd8c88a821c1979cef62”h2NhNh3Œ"libsepol-cos7-aarch64 >=2.5 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@¬OïžhEJÍ… hFˆubh)”}”(hŒquantiphyse-dsc”h#Œ0.9.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*quantiphyse-dsc-0.9.2-pyhd8ed1ab_0.tar.bz2”h+Œ a6d33bc770f9b87190dbbb2a1d8f2339”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/quantiphyse-dsc-0.9.2-pyhd8ed1ab_0.tar.bz2”h0Œ@94e367608e7a9d9359d8f0f4dd753deba925642a6479b55585c4138e2d379bde”h2NhNh3Œnumpy”Œpython >=3.6”Œquantiphyse-fabber”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ-w7ä¬hEMP@hFˆubh)”}”(hŒ	r-rapport”h#Œ1.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ#r-rapport-1.1-r41ha770c72_1.tar.bz2”h+Œ d6e75dc6b502ae1b83b82e5c17a2fffd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rapport-1.1-r41ha770c72_1.tar.bz2”h0Œ@97cd4c3cb50a114aa32d0a682b6c1e67316c117d134ba4e6847ae5a3b89d7e1f”h2NhNh3(Œpandoc”Œr-base >=4.1,<4.2.0a0”Œr-pander”Œr-rapportools”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØÒ/y6È´hEJr hFˆubh)”}”(hŒgtkmm24-cos7-ppc64le”h#Œ2.24.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1gtkmm24-cos7-ppc64le-2.24.5-h9b0a68f_1105.tar.bz2”h+Œ fb16327956861bc6a19294d45d9df4cc”h.Œ_https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos7-ppc64le-2.24.5-h9b0a68f_1105.tar.bz2”h0Œ@c0e316c6ac84a251bb6cc65d656f04a3feb4ef39bce030024eeac5c0e59e2129”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‡	Íp¤hEJµ, hFˆubh)”}”(hŒwebdav4”h#Œ0.9.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"webdav4-0.9.8-pyhd8ed1ab_0.tar.bz2”h+Œ 00a0b5c328a0a04f8e7a217b628386fa”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/webdav4-0.9.8-pyhd8ed1ab_0.tar.bz2”h0Œ@d2d127142204696b6f341b3e43de06cf5f2e35041637fa06cdd775ea0091255d”h2NhNh3(Œfsspec >=2021.7.0”Œhttpx >=0.20.0,<1.0.0”Œpython >=3.7”Œpython-dateutil >=2.8.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÖJ<™ÊÁhEMêƒhFˆubh)”}”(hŒmir_eval”h#Œ0.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!mir_eval-0.6-pyh9f0ad1d_0.tar.bz2”h+Œ 6bc9d215f4c07ff2d16530580f2a4da3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/mir_eval-0.6-pyh9f0ad1d_0.tar.bz2”h0Œ@c8dbc0ff2818899e7ad92874410cdcc592d1c114be32999e660b71ca177d3b0c”h2NhNh3(Œfuture”Œnumpy >=1.7.0”Œpython”Œscipy >=1.0.0”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Äp§Ÿ¾hEJ$9 hFˆubh)”}”(hŒtypes-ipaddress”h#Œ1.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*types-ipaddress-1.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ 20193a3d7b05d50fa83dd4ac9419a217”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/types-ipaddress-1.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@dd46d1b7446d365d8185df9e4e226c7423d8db630362ae2f31070d951959df58”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØ}‚´X1'hEMx/hFˆubh)”}”(hŒr-smvar”h#Œ1.3.4”h%Œr41ha770c72_0”h'K hhh(h)hŒ#r-smvar-1.3.4-r41ha770c72_0.tar.bz2”h+Œ 665e9af20cb6d429dc6c01628e90b559”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-smvar-1.3.4-r41ha770c72_0.tar.bz2”h0Œ@f81a785f4d03554e2df4ddb41cf05f307259e07c4b8135e5f8a799993187d7be”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØ•tD/
=hEJ,à hFˆubh)”}”(hŒr-survivalanalysis”h#Œ0.3.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ.r-survivalanalysis-0.3.0-r40hc72bb7e_0.tar.bz2”h+Œ 6510ccca9b733dd9e400b3c22ee7ab06”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-survivalanalysis-0.3.0-r40hc72bb7e_0.tar.bz2”h0Œ@fabda1f667d58f08cf1a6ffdd1d574e796fbc62ea2507de522859658b7613722”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cowplot”Œr-dplyr”Œ	r-forcats”Œr-ggplot2 >=2.2.1”Œr-gridextra”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-scales”Œ	r-stringr”Œ
r-survival”Œr-survminer >0.4.0”Œr-tibble”Œr-tidyr”Œr-tidytidbits”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ§@n˜hEJ¨S hFˆubh)”}”(hŒflask-sockets”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒ flask-sockets-0.2.1-py_0.tar.bz2”h+Œ c6cf7580a8a1994b39101ec5096ad239”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/flask-sockets-0.2.1-py_0.tar.bz2”h0Œ@24debc6240a7589e932e7d691dbf01388f9bbd41d8a5faaab75dd57ed62b5c2c”h2NhNh3(Œflask”Œgevent”Œgevent-websocket”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×wòæ A‰hEMhFˆubh)”}”(hŒlibbonobo-devel-cos7-aarch64”h#Œ2.32.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ8libbonobo-devel-cos7-aarch64-2.32.1-h9b0a68f_105.tar.bz2”h+Œ cbffb769ef4f998486ec861aeed29798”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos7-aarch64-2.32.1-h9b0a68f_105.tar.bz2”h0Œ@476769d6d13c1fa331e010ac9eb05b62e72e4886497c8310fc3a2d01c67d63b9”h2NhNh3Œ%libbonobo-cos7-aarch64 ==2.32.1 *_105”Œ)libxml2-devel-cos7-aarch64 >=2.4.21 *_105”Œ'orbit2-devel-cos7-aarch64 >=2.7.5 *_105”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGAØ@`AUÒòhEJÌá hFˆubh)”}”(hŒ	r-howmany”h#Œ0.3_1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ(r-howmany-0.3_1-r40h6115d3f_1002.tar.bz2”h+Œ 108ae1ff04aec2f9c958bd3eeefc132b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-howmany-0.3_1-r40h6115d3f_1002.tar.bz2”h0Œ@f27772f1cb5b7975fd0455d4d6c631960d1861d5bea4828f36736c19ef2b9712”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×¬¼?|îhEMYÏhFˆubh)”}”(hŒr-bookdownplus”h#Œ1.5.8”h%Œr35h6115d3f_0”h'K hhh(h)hŒ*r-bookdownplus-1.5.8-r35h6115d3f_0.tar.bz2”h+Œ b37321385524d48ee4c45940e1bbe5f4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bookdownplus-1.5.8-r35h6115d3f_0.tar.bz2”h0Œ@e764dbaabf0c058555e4a1c9c41066b8d53c5790bd219323928bbc1efc8e57d1”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-bookdown >=0.3.17”Œr-knitr”Œr-magick”Œ
r-xaringan”t”h9hºh@ŒMIT”hBŒMIT”hDGA×»à’-hEJ¡ hFˆubh)”}”(hŒca-certificates-cos7-aarch64”h#Œ	2020.2.41”h%Œh9b0a68f_105”h'Kihhh(h)hŒ;ca-certificates-cos7-aarch64-2020.2.41-h9b0a68f_105.tar.bz2”h+Œ e72b6e557084d74b8d8229463afc6e0f”h.Œihttps://conda.anaconda.org/conda-forge/noarch/ca-certificates-cos7-aarch64-2020.2.41-h9b0a68f_105.tar.bz2”h0Œ@1739583046783931ae10b68f589d783adc96fdf1a98feef2b7fb0e2e052995c4”h2NhNh3Œ#p11-kit-cos7-aarch64 >=0.23.5 *_105”Œ)p11-kit-trust-cos7-aarch64 >=0.23.5 *_105”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@\[JÐåhEJ hFˆubh)”}”(hŒpywps”h#Œ4.5.2”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ pywps-4.5.2-pyh6c4a22f_0.tar.bz2”h+Œ 7ee7b20259f80eaa94e0e0fe21fc762e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pywps-4.5.2-pyh6c4a22f_0.tar.bz2”h0Œ@6c410da5016ee474485311c620a8e1333fc96dd8c3bd3b6e573cc5b1d8f3b123”h2NhNh3(Œdocutils”Œfiona”Œhumanize”Œjinja2”Œ
jsonschema”Œlxml”Œ
markupsafe”Œowslib”Œpython >=3.7”Œpython-dateutil”Œpython-geotiff”Œrequests”Œsphinx”Œ
sqlalchemy”Œwerkzeug”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ•ôýã×
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h5py >=2.8”Œnetworkx”Œnumpy >=1.11.0”Œ	pubchempy”Œpython >=3.6”Œrequests >=2.18”Œscipy >=1.1.0”Œsympy”t”h9h?h@ŒApache-2.0 AND BSD-3-Clause”hDGAØ»ÚHvffhEJúÂ hFˆubh)”}”(hŒreprexpy”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#reprexpy-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0d9410514610ad61ab25c04b770ff021”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/reprexpy-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4c5049629e3c6d46be2ef2399a4d7a6d3029a2ebdafde3a47878e0ff54cf369d”h2NhNh3(Œ	asttokens”Œ	ipykernel”Œipython”Œmatplotlib-base”Œ	nbconvert”Œnbformat”Œpyimgur”Œ	pyperclip”Œpython >=3.6”Œ
setuptools”Œstdlib-list”Œtornado <=5.1.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ-/ üjhEMœ<hFˆubh)”}”(hŒ
r-tableone”h#Œ0.13.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-tableone-0.13.2-r41hc72bb7e_1.tar.bz2”h+Œ b3c383ca1eb32737890e6706fd31dea9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tableone-0.13.2-r41hc72bb7e_1.tar.bz2”h0Œ@e5aa02bf42afb4af8fe2947e07d016965209cf7d10ca86c6e446052998fa6ae8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-e1071”Œ	r-gmodels”Œ
r-labelled”Œr-mass”Œr-nlme”Œr-survey”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑþ zMÓhEJè> hFˆubh)”}”(hŒ	r-diagram”h#Œ1.6.5”h%Œr40ha770c72_0”h'K hhh(h)hŒ%r-diagram-1.6.5-r40ha770c72_0.tar.bz2”h+Œ ef4c3020a7bc4fa107f3af500bcccd66”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-diagram-1.6.5-r40ha770c72_0.tar.bz2”h0Œ@6e06ada718558b10848aed8f20460312abcf934eb6ac951cf57a302efe01f279”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-shape”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*ìL
=hEJ8—
 hFˆubh)”}”(hŒr-discretization”h#Œ1.0_1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ.r-discretization-1.0_1.1-r42hc72bb7e_1.tar.bz2”h+Œ 77118dd4173d3406270e5058f467e255”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-discretization-1.0_1.1-r42hc72bb7e_1.tar.bz2”h0Œ@983aa92b95098c43059e0ef79b03ec802e01726b9aad932375a6959af7319b5c”•=      h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ‹þvÉhEJîÒ hFˆubh)”}”(hŒawesomeversion”h#Œ22.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*awesomeversion-22.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 89f17d7ccf1617ec9295f636506b9b29”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/awesomeversion-22.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@404b1188d23ee41711cbcf3b1542f4a6eabc0d7e8ad8af740696b8128c778264”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¤VÚ0å`hEM6hFˆubh)”}”(hŒmypy-boto3-batch”h#Œ1.24.36.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3mypy-boto3-batch-1.24.36.post1-pyhd8ed1ab_0.tar.bz2”h+Œ 4b900d485a91c73b8e11edc8b19fa58e”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mypy-boto3-batch-1.24.36.post1-pyhd8ed1ab_0.tar.bz2”h0Œ@d39dbab300827329ec9dea462ba65f58738094ab552ac8e33291bc8cc935c616”h2NhNh3Œbotocore”Œ
python >=3”Œtyping_extensions”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ·s·ÙhEM:[hFˆubh)”}”(hŒr-sqldf”h#Œ0.4_11”h%Œr36h6115d3f_2”h'Khhh(h)hŒ$r-sqldf-0.4_11-r36h6115d3f_2.tar.bz2”h+Œ 7d760ce8bb587483c3b92bd75c0473f1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sqldf-0.4_11-r36h6115d3f_2.tar.bz2”h0Œ@e2a69157584304b8badecf6615f55ebd89bfd6ee6e3a5cf7800b077b02e60b54”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-chron”Œr-dbi”Œr-gsubfn >=0.6”Œr-proto”Œ	r-rsqlite”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬8©ühEJÕ_ hFˆubh)”}”(hŒqupy”h#Œ1.1.1”h%Œpy_0”h'K hhh(h)hŒqupy-1.1.1-py_0.tar.bz2”h+Œ a5b8edc216f32da4ff3b19b0e37a0c90”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/qupy-1.1.1-py_0.tar.bz2”h0Œ@c36441983c474132556f8f585d8a8eb5e7bf30f91e878a383709cde95134d8a5”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×6æÍÓhEM%hFˆubh)”}”(hŒr-directlabels”h#Œ	2021.1.13”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ.r-directlabels-2021.1.13-r41hc72bb7e_1.tar.bz2”h+Œ a42777b887203a41543a6a133a4965dd”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-directlabels-2021.1.13-r41hc72bb7e_1.tar.bz2”h0Œ@49a362777de207462c76fb78b58e08b31ac3309c2db08373835d77e835150b1a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ‹1ÚÐåhEJš€ hFˆubh)”}”(hŒ	namedlist”h#Œ1.8”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"namedlist-1.8-pyh9f0ad1d_0.tar.bz2”h+Œ 6af152795d6ded9b7d47458c573ccb33”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/namedlist-1.8-pyh9f0ad1d_0.tar.bz2”h0Œ@7eb7145d594ec61d8752b8ad342b3b6c746cc1a0286f79f3160ddb74843e3b64”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ÒçÖm?}hEMGhFˆubh)”}”(hŒcmiles”h#Œ0.1.6”h%Œ
h57928b3_1”h'Khhh(h)hŒcmiles-0.1.6-h57928b3_1.tar.bz2”h+Œ c08248a9f6dafcc624acfdeedeac143a”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cmiles-0.1.6-h57928b3_1.tar.bz2”h0Œ@0be65e2dfe794a6f7b18984fec6ee11fd9201e529b8b91b99c1024fac82e9196”h2NhNh3Œcmiles-base >=0.1.6,<0.1.7.0a0”Œrdkit”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ïR˜M¡ËhEMŒhFˆubh)”}”(hŒr-bezier”h#Œ1.1.2”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ'r-bezier-1.1.2-r40hc72bb7e_1002.tar.bz2”h+Œ 732283a7f96acdb1fd3400b21ed265bc”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-bezier-1.1.2-r40hc72bb7e_1002.tar.bz2”h0Œ@f4c3385471ffa50f8f97bc9aca3d445f564f54042e043ebde5dbf385543e441d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+0—i©ühEJ†q hFˆubh)”}”(hŒ	r-titanic”h#Œ0.1.0”h%Œr40h785f33e_0”h'K hhh(h)hŒ%r-titanic-0.1.0-r40h785f33e_0.tar.bz2”h+Œ 128e642f6727ff49f159581eb2b22dba”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-titanic-0.1.0-r40h785f33e_0.tar.bz2”h0Œ@142981f3dafccac11680e7e843bf13c7d227f44e551e6394d5479555f2a6c589”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒCC0-1.0”hDGAØÆ´9hEJE` hFˆubh)”}”(hŒ
r-searcher”h#Œ0.0.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-searcher-0.0.6-r41hc72bb7e_0.tar.bz2”h+Œ b5069e3032de97719170b485b884f240”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-searcher-0.0.6-r41hc72bb7e_0.tar.bz2”h0Œ@8ca34a9dbe8726c29e69433dc5918f2bbf59989240f7e710eb053a781e56d6fe”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ?&[m/hEJ±5 hFˆubh)”}”(hŒr-sessioninfo”h#Œ1.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-sessioninfo-1.2.2-r41hc72bb7e_0.tar.bz2”h+Œ 3d4bf418b268d3792ac0bd44960bb89f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-sessioninfo-1.2.2-r41hc72bb7e_0.tar.bz2”h0Œ@e11e20429cfe5cdf1a66db0a2c4f4dd5b5cf69ccc4452ddebfbe16abf052de31”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-withr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØk˜5î‡+hEJÿ hFˆubh)”}”(hŒ
r-envstats”h#Œ2.7.0”h%Œr41ha770c72_1”h'Khhh(h)hŒ&r-envstats-2.7.0-r41ha770c72_1.tar.bz2”h+Œ a7fc0c381e245002602fac8a0178081f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-envstats-2.7.0-r41ha770c72_1.tar.bz2”h0Œ@c738488f40d9f11fcd76960c87dd89e4e727c1a410e2dede8f163b2947e8c6e6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-mass”Œ	r-nortest”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ`
n˜hEJ(] hFˆubh)”}”(hŒcups-devel-cos6-x86_64”h#Œ1.4.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2cups-devel-cos6-x86_64-1.4.2-h9b0a68f_1105.tar.bz2”h+Œ df90406c8bc4534bcea5d1b5a5ed818b”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos6-x86_64-1.4.2-h9b0a68f_1105.tar.bz2”h0Œ@e8aa73fb2df0793255c646f6a4b8dee59fb6c29b719b78485e6fc9067826846e”h2NhNh3Œ$cups-libs-cos6-x86_64 ==1.4.2 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@ZÌ“C–hEM‘åhFˆubh)”}”(hŒrb-jekyll-theme-midnight”h#Œ0.1.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ1rb-jekyll-theme-midnight-0.1.1-hc42de5b_0.tar.bz2”h+Œ 7904def1122f01001b8a91663b14a6eb”h.Œ_https://conda.anaconda.org/conda-forge/noarch/rb-jekyll-theme-midnight-0.1.1-hc42de5b_0.tar.bz2”h0Œ@d7063df666793fa3ba111e8c05b339f8e9be826ee3ea61652b53bd0c9356ce06”h2NhNh3Œrb-jekyll >=3.5,<4.0”Œrb-jekyll-seo-tag >=2.0,<3”Œruby >=2.6.3,<2.7.0a0”‡”h9hºh@ŒCC0-1.0”hDGA×[]f­²-hEJæ	 hFˆubh)”}”(hŒmodin”h#Œ0.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ modin-0.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ a42e5ad474f76e75db0469cdb7da8b59”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/modin-0.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@20347140b5feb242d756bbfbf25b5bee7636d3ff87c9001b7c95e6a55fc7e2df”h2NhNh3(Œdask >=2.1.0”Œdistributed >=2.3.2”Œpandas 1.1.4”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×êù¦¨£×hEJ¤È hFˆubh)”}”(hŒ
motuclient”h#Œ1.8.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%motuclient-1.8.8-pyhd8ed1ab_0.tar.bz2”h+Œ 2ea8cd79d85f8f7ad78ed21bc62aa2c5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/motuclient-1.8.8-pyhd8ed1ab_0.tar.bz2”h0Œ@3d3a660c8cdb75a2578df62297a0a24412ed65aa2ba9d6b0ed144f02159f5eb9”h2NhNh3Œpython >=2.7”…”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØõÙG®hEM~ohFˆubh)”}”(hŒr-repmis”h#Œ0.5”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-repmis-0.5-r36h6115d3f_0.tar.bz2”h+Œ 304a63516ed86877d25a08d88b468d55”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-repmis-0.5-r36h6115d3f_0.tar.bz2”h0Œ@e349202c8faaf1840890b67c9fda02b0c354a6566667612781454f239572d590”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-digest”Œr-httr”Œr-plyr”Œ	r-r.cache”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯ÆÂ¬hEJl hFˆubh)”}”(hŒlibxrender-cos7-ppc64le”h#Œ0.9.10”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libxrender-cos7-ppc64le-0.9.10-h9b0a68f_1105.tar.bz2”h+Œ 28e763d37f8a8907b38ee41f3e923ceb”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxrender-cos7-ppc64le-0.9.10-h9b0a68f_1105.tar.bz2”h0Œ@1739f96029f75c1680a219c718c50b43de08ce51e40a2826469c33c4853471b6”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŽÚtzáhEMehFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œh1795305_1101”h'MMhhh(h)hŒ6libdrm-devel-cos7-ppc64le-2.4.97-h1795305_1101.tar.bz2”h+Œ 8abaadc198ed8939302f426023d7b057”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-ppc64le-2.4.97-h1795305_1101.tar.bz2”h0Œ@b2a66aa8465905d0b5d697fd47f966453d557b83a38a9e91abed6d0cdc434b85”h2NhNh3Œ$kernel-headers-cos7-ppc64le >=2.6.27”Œlibdrm-cos7-ppc64le 2.4.97”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å‰eãThEJØó hFˆubh)”}”(hŒ	exoplanet”h#Œ0.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$exoplanet-0.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ 74d8a2e1c63e418947694d5616746090”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/exoplanet-0.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@5240e6372881c1a8d9ae7171767c460fa77547f52d530fcbc9a4050138361aeb”h2NhNh3(Œaesara-theano-fallback >=0.0.2”Œastropy >=3.1”Œexoplanet-core >=0.1”Œnumpy <1.22”Œpymc3 >=3.9”Œpython >=3.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÒ
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r-lfactors”h#Œ1.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-lfactors-1.0.4-r41hc72bb7e_0.tar.bz2”h+Œ bacea82e50315ebb369cad05dad06f36”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lfactors-1.0.4-r41hc72bb7e_0.tar.bz2”h0Œ@6a0c9eb217a0ca8fed45edad4a41e8894c3f9e885e84a560f9a76ba2efe4c658”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+­kSøhEJ[ hFˆubh)”}”(hŒpaddy”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ paddy-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ e6586fd6936d192a9db4ef4b73762392”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/paddy-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b1e15ec0140838c39eae4a491fa038cf0874d4a08609227ae9c1ec734b313a1a”h2NhNh3(Œfuture”Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œscikit-learn”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÀøj`BhEMqhFˆubh)”}”(hŒnspr-cos7-aarch64”h#Œ4.21.0”h%Œha826a6f_103”h'Kghhh(h)hŒ-nspr-cos7-aarch64-4.21.0-ha826a6f_103.tar.bz2”h+Œ ebb2c5104d3ba4eefabf81e9a22b409d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-aarch64-4.21.0-ha826a6f_103.tar.bz2”h0Œ@f761cc74b79a55568dd1df9f2558731bc3bf2cf6fdff0f2a44083fbc9cd9fdfd”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ/\9XhEJL hFˆubh)”}”(hŒlibpng-cos7-aarch64”h#Œ1.5.13”h%Œha826a6f_103”h'Kghhh(h)hŒ/libpng-cos7-aarch64-1.5.13-ha826a6f_103.tar.bz2”h+Œ c5f6fb02b121f6ee3ec383f4ac04ff69”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libpng-cos7-aarch64-1.5.13-ha826a6f_103.tar.bz2”h0Œ@3963f8f70a8092f03ab870aa0e99bc7e086f86442b1bd39c37b05aa395f80790”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGA×Æ{ì‹DhEJû hFˆubh)”}”(hŒr-momr”h#Œ1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ r-momr-1.1-r41hc72bb7e_1.tar.bz2”h+Œ fda8ce89f0c3ebc51f5273581768d274”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-momr-1.1-r41hc72bb7e_1.tar.bz2”h0Œ@eac070c8bd43c5b3d3a63860308d79e47412b5218649c4cee05832a3f4f0054f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gplots”Œr-hmisc”Œ	r-nortest”t”h9hºh@ŒArtistic-2.0 (Restricts use)”hBŒOTHER”hDGAØ,+ÊÐåhEJ‚ºe hFˆubh)”}”(hŒserverfiles”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒserverfiles-0.3.0-py_0.tar.bz2”h+Œ a7e7b6240155d84040d62e12c5e34eec”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/serverfiles-0.3.0-py_0.tar.bz2”h0Œ@6eba1a7faf65afc583594ec12ef367fd798ed49db1ff29c4ae765c6e2bcaab3c”h2NhNh3Œpython”Œrequests >=2.11.1”†”h9h?h@ŒGPL-3”hBŒGPL”hDGAÖþè  hEM&$hFˆubh)”}”(hŒr-dtt”h#Œ0.1_2”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ$r-dtt-0.1_2-r40hc72bb7e_1003.tar.bz2”h+Œ e7186b100479dc147c47dd75dc5d2bd9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dtt-0.1_2-r40hc72bb7e_1003.tar.bz2”h0Œ@35da26fe017b4e81e470343f11341bb5d09b6f9ed30dbdaf346e6dbc6cdd2e88”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*âpß;hEM„‘hFˆubh)”}”(hŒr-tsibbledata”h#Œ0.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-tsibbledata-0.4.1-r42hc72bb7e_1.tar.bz2”h+Œ fac1a261aaf387d059479de9d511565d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tsibbledata-0.4.1-r42hc72bb7e_1.tar.bz2”h0Œ@1ce3dc34ad6728535555e0c2d6b141153b989c311a4ae5e3137914cca5930549”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-rappdirs”Œr-tsibble >=0.9.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑöKi‰7hEJÓs" hFˆubh)”}”(hŒlibtiff-cos7-x86_64”h#Œ4.0.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libtiff-cos7-x86_64-4.0.3-h9d98e8f_1104.tar.bz2”h+Œ 571cc81ecae17b217a425c88a7e3d05e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-x86_64-4.0.3-h9d98e8f_1104.tar.bz2”h0Œ@e04644aeacb890a14101607fafb959b716a3198f81f380560e1c73c24840c9f7”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@Œlibtiff”hBŒOther”hDGA×Ézët¼hEJlÅ hFˆubh)”}”(hŒr-ncdunnett”h#Œ1.1.0”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ*r-ncdunnett-1.1.0-r40hc72bb7e_1002.tar.bz2”h+Œ 0507fbd82ebc963181b0f48b965ed148”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ncdunnett-1.1.0-r40hc72bb7e_1002.tar.bz2”h0Œ@aed8da72937cae321a5e8c26b2956152513ce1b129bf445f2e3359316d9a503d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+aëçmhEM©éhFˆubh)”}”(hŒr-shinyloadtest”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-shinyloadtest-1.1.0-r41hc72bb7e_0.tar.bz2”h+Œ d3670eef19186cda86da6c852518ee61”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-shinyloadtest-1.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@931a62303c64eab93a54b5e63d2650acc68906c7a6e0bc88bbb9bfe5e108a87e”h2NhNh3(Œpandoc >=2.2”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-httpuv >=1.5.2”Œ
r-jsonlite”Œ
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tatsu >4.2”t”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÓx÷‰ÊÁhEJÿå hFˆubh)”}”(hŒrb-jekyll-theme-architect”h#Œ0.1.1”h%Œ
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r-sparkxgb”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-sparkxgb-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 68939211b1f111b85d2bfd87aaf56e37”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparkxgb-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@b9b9ccc5135175c4913b032aac082a4632bab7956473629147d865c17dce1b95”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-forge >=0.2.0”Œr-sparklyr >=1.0”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ+°•A‰hEJÙ0 hFˆubh)”}”(hŒ
r-snowfall”h#Œ1.84_6.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-snowfall-1.84_6.2-r41hc72bb7e_0.tar.bz2”h+Œ 2a61879de1a3c255cea3e3bea7840fbe”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-snowfall-1.84_6.2-r41hc72bb7e_0.tar.bz2”h0Œ@9b9f54da10a06b3c014aa4742d12efc0ee52a776de245390a614267c61d7d2c1”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-snow”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ±ÈÝó¶hEJ'  hFˆubh)”}”(hŒ&xcb-util-renderutil-devel-cos7-aarch64”h#Œ0.3.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒBxcb-util-renderutil-devel-cos7-aarch64-0.3.9-h9b0a68f_1105.tar.bz2”h+Œ 261d5804a484f2303bed67b0f34a97cf”h.Œphttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-devel-cos7-aarch64-0.3.9-h9b0a68f_1105.tar.bz2”h0Œ@00169064cfbce4bfa7560b39d53b4f5e7f4eb94cf077f9ff241ee0963c76ce9f”h2NhNh3Œsysroot_linux-aarch64 2.17.*”Œ/xcb-util-renderutil-cos7-aarch64 ==0.3.9 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŽÒtÌÍhEM´hFˆubh)”}”(hŒr-optimalcutpoints”h#Œ1.1_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ.r-optimalcutpoints-1.1_5-r41hc72bb7e_0.tar.bz2”h+Œ 470841d0d128bb912c9b9c65fb463164”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-optimalcutpoints-1.1_5-r41hc72bb7e_0.tar.bz2”h0Œ@4f142302240906f2e9e3aad92c464208b22fbf5862400be603725178f936da59”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØWþ«hbhEJ1 hFˆubh)”}”(hŒlibdrm-devel-cos7-aarch64”h#Œ2.4.97”h%Œh1795305_101”h'Kehhh(h)hŒ5libdrm-devel-cos7-aarch64-2.4.97-h1795305_101.tar.bz2”h+Œ 6f4b29e3de41982cf16b581e2aa73b0b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-aarch64-2.4.97-h1795305_101.tar.bz2”h0Œ@2a2f879262b9adb04eac76a10ff10b964810c3247f8b50fd38795c4aba059d4c”h2NhNh3Œ$kernel-headers-cos7-aarch64 >=2.6.27”Œlibdrm-cos7-aarch64 2.4.97”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅbjhEJ hFˆubh)”}”(hŒr-conditionz”h#Œ0.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-conditionz-0.1.0-r36h6115d3f_1.tar.bz2”h+Œ b2df1860be1b1eda15e6004aaa558384”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-conditionz-0.1.0-r36h6115d3f_1.tar.bz2”h0Œ@92c0e23f62aea1a462c4b923760c401656969c67e8c99294cf4d46f8de56ac3c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-r6”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×·çIˆ£×hEM›úhFˆubh)”}”(hŒlibselinux-devel-cos7-ppc64le”h#Œ2.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libselinux-devel-cos7-ppc64le-2.5-h9d98e8f_104.tar.bz2”h+Œ 37ea2121d046af861d0c0b7eeaa4d27a”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-ppc64le-2.5-h9d98e8f_104.tar.bz2”h0Œ@8e6ca01d6497d8ea50f76ff4f2955d49032a0b20570e93798d614e292fbcac3a”h2NhNh3Œ#libselinux-cos7-ppc64le ==2.5 *_104”Œ'libsepol-devel-cos7-ppc64le >=2.5 *_104”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×É|.£çmhEJµ_ hFˆubh)”}”(hŒpyro5”h#Œ5.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpyro5-5.14-pyhd8ed1ab_0.tar.bz2”h+Œ e58e741c784467fd4d2967c7a6f91794”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyro5-5.14-pyhd8ed1ab_0.tar.bz2”h0Œ@918a7f37051547faf5ccf7ab8f9b291f096928a48d17c35f14cd93ef81e79801”h2NhNh3Œpython >=3.0”Œserpent >=1.27”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÑó1¼IºhEMÃõhFˆubh)”}”(hŒnss-softokn-freebl-cos7-ppc64le”h#Œ3.44.0”h%Œh1795305_1101”h'MMhhh(h)hŒ<nss-softokn-freebl-cos7-ppc64le-3.44.0-h1795305_1101.tar.bz2”h+Œ aaa6b518d8f26f3b532ff8d9c26a67f4”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-ppc64le-3.44.0-h1795305_1101.tar.bz2”h0Œ@0dcc9b946447d507e5d79cef1b96bd5bc163954667b1951be7d5d4ef5834c1f8”h2NhNh3Œnspr-cos7-ppc64le >=4.21.0”Œnss-util-cos7-ppc64le >=3.44.0”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇ·¿+hEJ4 hFˆubh)”}”(hŒ	r-ensurer”h#Œ1.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ&r-ensurer-1.1-r35h6115d3f_1001.tar.bz2”h+Œ e9a01c72ffdc6dbb0528b1035ca59cc9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ensurer-1.1-r35h6115d3f_1001.tar.bz2”h0Œ@83703f70b11e17c7dd0a43f14a3db7ea8137b3525ea5f8de98a44415d44dba14”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Mm/hEMõÁhFˆubh)”}”(hŒ%xcb-util-renderutil-devel-cos6-x86_64”h#Œ0.3.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ@xcb-util-renderutil-devel-cos6-x86_64-0.3.9-h9b0a68f_105.tar.bz2”h+Œ 6a3ec62f0b491c6aaefc84e478630ff4”h.Œnhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-devel-cos6-x86_64-0.3.9-h9b0a68f_105.tar.bz2”h0Œ@d3a9f7b45e34fa774058907bb380e7026ccbd533ddc4756ea922f28b5ae4098a”h2NhNh3Œ-xcb-util-renderutil-cos6-x86_64 ==0.3.9 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØu#à`BhEM«hFˆubh)”}”(hŒr-leafpm”h#Œ0.1.0”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ$r-leafpm-0.1.0-r42hc72bb7e_4.tar.bz2”h+Œ 8de3550f69416cf1dee10f713ed7d257”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafpm-0.1.0-r42hc72bb7e_4.tar.bz2”h0Œ@3b0c424f6b4a37f8bfbb545937d9bb058ac8dfe2294bdf4ce72b8de599e1e4dc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-sf >=0.5_2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ›‚*ÀƒhEJ* hFˆubh)”}”(hŒ	r-mratios”h#Œ1.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-mratios-1.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 95235eec1b2fa3f31487dfba9283aeb3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mratios-1.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@ea5daa9be3b38bb18d553906177f622d989671c7d33811dce89279a52332ddf4”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-multcomp”Œ	r-mvtnorm”Œ
r-survival”Œr-survpresmooth”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*õ¼i%hEJAþ hFˆubh)”}”(hŒmhealpy”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"mhealpy-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ c97e2eeb98870e782cd2f76663084e5c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mhealpy-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c60e09f3eb3f2c2151bf7dd3f98f3cf909ee13db304022e279aa14399b8c59b4”h2NhNh3Œhealpy”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØD`RƒohEMJ`hFˆubh)”}”(hŒlibnl3-cos6-x86_64”h#Œ3.2.21”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libnl3-cos6-x86_64-3.2.21-h9b0a68f_1105.tar.bz2”h+Œ b6175aeeec1c38b1fb6a586698b81941”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libnl3-cos6-x86_64-3.2.21-h9b0a68f_1105.tar.bz2”h0Œ@bdd0c2ddca65bc6731235e44d9f4b6ff56f496860de0a87a945b00fd9a232b26”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@XTš^5hEJÖ\ hFˆubh)”}”(hŒ
tasklogger”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%tasklogger-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ f855f9b2d661776ac51dd389aa1d0d34”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/tasklogger-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@595898c6d0bfaafb9972b300ece6b5b93d4c76d4bb818f93f6fa634217752778”h2NhNh3Œ
deprecated”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ±&³bNhEM,LhFˆubh)”}”(hŒrdma-core-cos7-x86_64”h#Œ22.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0rdma-core-cos7-x86_64-22.4-h9b0a68f_1105.tar.bz2”h+Œ f0e4d0f444079a54ca091802a257f3b0”h.Œ^https://conda.anaconda.org/conda-forge/noarch/rdma-core-cos7-x86_64-22.4-h9b0a68f_1105.tar.bz2”h0Œ@2898d93c7fda408fe2be2560a5be5594dec2b2178a8934cbe29fa1cdd9724db8”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@hÞ`BhEMÁ·hFˆubh)”}”(hŒr-tpea”h#Œ3.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-tpea-3.1.0-r36h6115d3f_1.tar.bz2”h+Œ 9f87031a89599ffc16a0fda1af3068b4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tpea-3.1.0-r36h6115d3f_1.tar.bz2”h0Œ@098786b07d7b42cc34ced33ea799aae4a5fdbeb20a671b35ee787c3f09697b6a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-foreach”Œr-igraph”Œr-matrix”Œr-mess”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬—}Q‰7hEJŽ hFˆubh)”}”(hŒ
r-rematch2”h#Œ2.1.2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-rematch2-2.1.2-r40h6115d3f_1.tar.bz2”h+Œ 3aafe25df9c87de74524f2d45441f6d7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r40h6115d3f_1.tar.bz2”h0Œ@6a517007b12741b2ee9f5bd2722df94cd124c15678a135f29f43b3eb24d06cfd”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-tibble”†”h9hºh@ŒMIT”hBŒMIT”hDGA×«Ó¥záhEMÐhFˆubh)”}”(hŒ
r-powerlaw”h#Œ0.70.6”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-powerlaw-0.70.6-r35h6115d3f_0.tar.bz2”h+Œ 3fe2408d0f746e3046757bef630a6ae6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-powerlaw-0.70.6-r35h6115d3f_0.tar.bz2”h0Œ@3832f9251ed8cc01b0a3b7ce3a788baf14413b29d22bbf0de7ee800be8e36add”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-pracma”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×¨û†’¬hEJ¨2 hFˆubh)”}”(hŒlibxrender-cos7-x86_64”h#Œ0.9.10”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libxrender-cos7-x86_64-0.9.10-h9b0a68f_1105.tar.bz2”h+Œ 6d5aeccc504b52e787132f454e3445b6”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxrender-cos7-x86_64-0.9.10-h9b0a68f_1105.tar.bz2”h0Œ@a91bf1079bb6fb98362886511b380a63804fc05783f3780c21b20c4fe0879e5a”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@nrÔzáhEMo`hFˆubh)”}”(hŒcp2k-output-tools”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,cp2k-output-tools-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 24a4c8382d9185e75530ddf2243e4cdf”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/cp2k-output-tools-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@076b7ab9c43f17f66059b7abe5b469ae4fea53309d7dee1790a88cae0126809e”h2NhNh3(Œclick >=8.0.1,<9.0.0”Œdataclasses >=0.7,<1”Œnumpy >=1.19,<2.0”Œpython >=3.7”Œregex >=2021.4,<2022.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶¨ÊØr°hEM\\hFˆubh)”}”(hŒr-waiter”h#Œ0.2.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-waiter-0.2.5-r40hc72bb7e_0.tar.bz2”h+Œ 4b387372157c6cd5fae7343314f97c6b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-waiter-0.2.5-r40hc72bb7e_0.tar.bz2”h0Œ@a60ab3e926fb16682d83dd25490414d042f48afe10ad974023a2b78d762959e9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-htmltools”Œ
r-magrittr”Œr-r6”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØtÏ’|‹DhEJóS hFˆubh)”}”(hŒlibthai-cos7-ppc64le”h#Œ0.1.14”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libthai-cos7-ppc64le-0.1.14-h9d98e8f_104.tar.bz2”h+Œ 1f213e2f6a75b799177bbc96a66d3d5c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-ppc64le-0.1.14-h9d98e8f_104.tar.bz2”h0Œ@0943fe5e79b964f415d587591921463b141ff28718c900be22cec924ba6a54fd”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éy|›¦hEJé~ hFˆubh)”}”(hŒlibxext-devel-cos7-aarch64”h#Œ1.3.3”h%Œha826a6f_103”h'Kghhh(h)hŒ5libxext-devel-cos7-aarch64-1.3.3-ha826a6f_103.tar.bz2”h+Œ 5ccada8ca22657bce8700b0e256bdf19”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-aarch64-1.3.3-ha826a6f_103.tar.bz2”h0Œ@704c6ee5c239b1933374d9b84e21280df63398e9d4d1952545458dfa603581a7”h2NhNh3Œ"libxext-cos7-aarch64 ==1.3.3 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2;ò\hEJ hFˆubh)”}”(hŒfontconfig-devel-cos7-x86_64”h#Œ2.13.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ9fontconfig-devel-cos7-x86_64-2.13.0-h9b0a68f_1105.tar.bz2”h+Œ 96e548b90e8e13f3faa58c91377be9ce”h.Œghttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos7-x86_64-2.13.0-h9b0a68f_1105.tar.bz2”h0Œ@244ffe87585f46543888e91198ab19114b628719b76ee16fb29b16663a166943”h2NhNh3Œ&fontconfig-cos7-x86_64 ==2.13.0 *_1105”Œ'freetype-devel-cos7-x86_64 >=2.8 *_1105”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGAØ@oõÚJhEJŠ hFˆubh)”}”(hŒr-waterfall”h#Œ1.0.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-waterfall-1.0.2-r36h6115d3f_0.tar.bz2”h+Œ 0bf132db382cf327dafebccee816a71b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waterfall-1.0.2-r36h6115d3f_0.tar.bz2”h0Œ@74cdd29f9f5ed1fdb98d7193cea965da50551597155ec26b8611e7d83ed080f7”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-lattice”†”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×L%¼UÒòhEMq°hFˆubh)”}”(hŒjava-1.7.0-openjdk-cos7-ppc64le”h#Œ	1.7.0.261”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ?java-1.7.0-openjdk-cos7-ppc64le-1.7.0.261-h9b0a68f_1105.tar.bz2”h+Œ a56cafaced2ef002c1037078a29e51f3”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/java-1.7.0-openjdk-cos7-ppc64le-1.7.0.261-h9b0a68f_1105.tar.bz2”h0Œ@21f0e2e3a830e549899f832b578d82cc9eab19140e9fd5777d7768b949319ce0”h2NhNh3Œ;java-1.7.0-openjdk-headless-cos7-ppc64le ==1.7.0.261 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@Œ¸ASL 1.1 and ASL 2.0 and BSD and BSD with advertising and GPL+ and GPLv2 and GPLv2 with exceptions and IJG and LGPLv2+ and MIT and MPLv1.1 and MPLv2.0 and Public Domain and W3C and zlib”hBŒGPL2”hDGAØ@’ÝÌ(öhEJ“Á hFˆubh)”}”(hŒr-hh”h#Œ3.1_49”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-hh-3.1_49-r42hc72bb7e_1.tar.bz2”h+Œ e6b3593aac948816e82d09d909a60613”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hh-3.1_49-r42hc72bb7e_1.tar.bz2”h0Œ@6b7bc88ec67679a135959955031f4c0498ab9591d1269f866611aded3910350b”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-gridextra >=2.0.0”Œr-hmisc”Œ	r-lattice”Œr-latticeextra”Œr-leaps”Œ
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Apache-2.0”hBŒAPACHE”hDGA×²³Yˆ  hEMÖÊhFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œ
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datefinder”h#Œ0.7.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%datefinder-0.7.3-pyhd8ed1ab_0.tar.bz2”h+Œ cb0c1994ea3200dc4f5a968c57e43cc9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/datefinder-0.7.3-pyhd8ed1ab_0.tar.bz2”h0Œ@d956b7cb50499ca673de5648c7ced14fe1fc50fd2050da64315481e4e07289d8”h2NhNh3(Œpython 2.7|>=3.4”Œpython-dateutil >=2.4.2”Œpytz”Œregex >=2017.02.08”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÀþØ%`BhEM»8hFˆubh)”}”(hŒnspr-cos7-ppc64le”h#Œ4.21.0”h%Œha826a6f_103”h'Kghhh(h)hŒ-nspr-cos7-ppc64le-4.21.0-ha826a6f_103.tar.bz2”h+Œ beb8d60968a6cabb1df2ba5bdfda5e2a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-ppc64le-4.21.0-ha826a6f_103.tar.bz2”h0Œ@5382dfba844a3aea6b085de41ce6b1eb81061804a411b50e845bca6f7981d936”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ/žÕ¡ËhEJ²9 hFˆubh)”}”(hŒnapari-ome-zarr”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*napari-ome-zarr-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 5826363e719511aa3f8fc7fbfc151d2f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/napari-ome-zarr-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0013df441a62787c587315edd00c93e73c7fef59a0fba4a899e1a87ff33ec346”•      h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œome-zarr >=0.2.0”Œpython >=3.7”Œvispy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ±q²-hEM)/hFˆubh)”}”(hŒjupyterlab_iframe”h#Œ0.4.4”h%Œpyh1d7be83_0”h'K hhh(h)hŒ,jupyterlab_iframe-0.4.4-pyh1d7be83_0.tar.bz2”h+Œ 521ab1e921370ffcddb75fec8dfd2222”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_iframe-0.4.4-pyh1d7be83_0.tar.bz2”h0Œ@1b4f640d7cdba27c19e41fed04694e0ee0a73250a35c60dd4d0468f73b523787”h2NhNh3(Œjupyterlab >=3.0.0”Œpython >=3.7”Œrequests >=2.22.0”Œtornado >=6.0.0”Œtornado-proxy-handlers >=0.0.5”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ•8ãt¼hEMÒ~hFˆubh)”}”(hŒ	r-mockery”h#Œ0.4.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-mockery-0.4.3-r42hc72bb7e_1.tar.bz2”h+Œ b446b6d5a660520d07ab69688d042e5f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mockery-0.4.3-r42hc72bb7e_1.tar.bz2”h0Œ@9b0ebab6a1c225e1d2be5958ef931c85a7ae101bbefadeec4747add4a894e806”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-testthat”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ¤l=ÒòhEM#ÆhFˆubh)”}”(hŒearthsim”h#Œ1.0.1”h%Œpy_0”h'K hhh(h)hŒearthsim-1.0.1-py_0.tar.bz2”h+Œ 7019fad5ae29abb6b92b2d414eb08d29”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/earthsim-1.0.1-py_0.tar.bz2”h0Œ@7559e356a95ad488c96a4dba44d32de578d2b03c547dde87f4e600eaf4722bb6”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hEMÕ@hFˆubh)”}”(hŒ
aiida-core”h#Œ1.6.8”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ%aiida-core-1.6.8-pyh6c4a22f_0.tar.bz2”h+Œ 1652b2dca37446ae9d222dcf1b785e2f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/aiida-core-1.6.8-pyh6c4a22f_0.tar.bz2”h0Œ@02cd0ea713e163eaf3a08e1a04c1686caf74348d91bf9c573e7baf9bba0e1080”h2NhNh3(Œaio-pika ~=6.6”Œaldjemy ~=0.9.1”Œalembic ~=1.2”Œarchive-path ~=0.2.1”Œcircus ~=0.17.1”Œclick ~=7.1”Œclick-completion ~=0.5.1”Œclick-config-file ~=0.6.0”Œclick-spinner ~=0.1.8”Œdjango ~=2.2”Œ
ete3 ~=3.1”Œipython ~=7.20”Œjinja2 ~=2.10”Œjsonschema ~=3.0”Œkiwipy ~=0.7.4”Œmarkupsafe <2.1”Œnumpy ~=1.17”Œpamqp ~=2.3”Œparamiko ~=2.7,>=2.7.2”Œpgsu ~=0.2.0”Œplumpy ~=0.20.0”Œpsutil ~=5.6”Œpsycopg2-binary ~=2.8.3”Œpython ~=3.7”Œpython-dateutil ~=2.8”Œpython-graphviz ~=0.13”Œpytz ~=2019.3”Œpyyaml ~=5.4”Œreentry ~=1.3”Œsimplejson ~=3.16”Œsqlalchemy ~=1.3.10”Œsqlalchemy-utils ~=0.36.0”Œtabulate ~=0.8.5”Œtqdm ~=4.45”Œtzlocal ~=2.0”Œupf_to_json ~=0.9.2”Œwrapt ~=1.11.1”t”h6Œaiida-core.services ==1.6.8”…”h9h?h@ŒMIT”hBŒMIT”hDGAØzÄ‚ñªhEJXö
 hFˆubh)”}”(hŒr-gbrd”h#Œ0.4_11”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ&r-gbrd-0.4_11-r41hc72bb7e_1004.tar.bz2”h+Œ ef3e652f74076cc76b9f0df20f86b339”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gbrd-0.4_11-r41hc72bb7e_1004.tar.bz2”h0Œ@3902ec1545fc8fcacc3fdd794e2ce494df5c40e36b529b292451adfee3b4da89”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐW[f¸RhEMàhFˆubh)”}”(hŒlibxext-devel-cos7-ppc64le”h#Œ1.3.3”h%Œha826a6f_103”h'Kghhh(h)hŒ5libxext-devel-cos7-ppc64le-1.3.3-ha826a6f_103.tar.bz2”h+Œ 0b3a9c05da71ce567fe8055211977ad3”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-ppc64le-1.3.3-ha826a6f_103.tar.bz2”h0Œ@b63340596b39c2076907006f39e2c33d619a772b48df12d17b8948fd2420b853”h2NhNh3Œ"libxext-cos7-ppc64le ==1.3.3 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1¤Ý/hEJQ hFˆubh)”}”(hŒr-pafr”h#Œ0.0.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ"r-pafr-0.0.2-r36hc72bb7e_0.tar.bz2”h+Œ 8e1ff9030c9b4bb5a3eb55e71e06593d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pafr-0.0.2-r36hc72bb7e_0.tar.bz2”h0Œ@a47f2b4f7c5ffeb15907ca69d250a1305796cdc295ed6e6b2126719098422631”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ œbO¾whEJ  hFˆubh)”}”(hŒ!xorg-x11-util-macros-cos7-aarch64”h#Œ1.19.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ=xorg-x11-util-macros-cos7-aarch64-1.19.0-h9b0a68f_105.tar.bz2”h+Œ 9127be857c80f950e2325a3df4ccae8a”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-aarch64-1.19.0-h9b0a68f_105.tar.bz2”h0Œ@a3b2e8b44d9747769f883ce3323552c3a42055f5d76b7a953b0041fd8f9f23ca”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Vš¯ß;hEM©«hFˆubh)”}”(hŒr-tmle”h#Œ1.5.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-tmle-1.5.0.2-r42hc72bb7e_1.tar.bz2”h+Œ aa3ff8076a3739cfc149e5cb66786f24”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tmle-1.5.0.2-r42hc72bb7e_1.tar.bz2”h0Œ@dd54e2b36c4fa8d9e285910fe991b39b1b97d23b022ed6636c2ac3362fb2c6c9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-glmnet”Œr-superlearner >=2.0”‡”h9hºh@ŒBSD_3_clause | GPL-2”hBŒGPL2”hDGAØÒê(ã•hEJ hFˆubh)”}”(hŒr-sparselda”h#Œ0.1_9”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ+r-sparselda-0.1_9-r351h6115d3f_1000.tar.bz2”h+Œ abb67431f7ddb226a231dcc44e605fb5”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-sparselda-0.1_9-r351h6115d3f_1000.tar.bz2”h0Œ@a4d655dedf9d6bbcccec5278dbea8c5c7bf121052af9c1e1a6313fddfdb7e983”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-elasticnet”Œr-mass”Œr-mda”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×)8%hEJB hFˆubh)”}”(hŒr-purrrogress”h#Œ0.1.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-purrrogress-0.1.1-r40hc72bb7e_1.tar.bz2”h+Œ 2201d1d85752550d1fc8898b41fdb531”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-purrrogress-0.1.1-r40hc72bb7e_1.tar.bz2”h0Œ@6b3e31a2d2e89505ce2bc97f91c75d44f4a67623a48e56763a8ecf0633459b2c”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-glue”Œr-hms”Œ	r-pkgcond”Œr-purrr”Œr-r6”Œr-rlang”Œr-testextra”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ D¯²hEJþ7 hFˆubh)”}”(hŒazure-storage-blob”h#Œ12.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.azure-storage-blob-12.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5638a85e78c4bf342f96f4e4021e56cf”h.Œ\https://conda.anaconda.org/conda-forge/noarch/azure-storage-blob-12.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d7ef20cd16d99f6717974c0a88b4742ae5b0539a8d1c2b7b9196922bc6b2e1c3”h2NhNh3(Œazure-core <2.0.0,>=1.9.0”Œcryptography >=2.1.4”Œmsrest >=0.6.10”Œpython >=2.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ t>ñ%hEJò hFˆubh)”}”(hŒr-lmds”h#Œ0.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-lmds-0.1.0-r42hc72bb7e_2.tar.bz2”h+Œ c0425070488badf81ec231f6e72c8bdf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmds-0.1.0-r42hc72bb7e_2.tar.bz2”h0Œ@0502736bf655a285247b03f1292e1173c6517eee5889731d11cdba92394ae89e”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-dynutils >=1.0.3”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¢XC"ÑhEJ”Û hFˆubh)”}”(hŒr-additivitytests”h#Œ1.1_4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ/r-additivitytests-1.1_4.1-r41hc72bb7e_0.tar.bz2”h+Œ a1f8d8b23a7116bb82b98e220204375f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-additivitytests-1.1_4.1-r41hc72bb7e_0.tar.bz2”h0Œ@69c0dbd268b49389e32b3e4b4a363448dc600bd7a6378680600b21aee860ae3e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ­ûš¹hshEJu  hFˆubh)”}”(hŒkoda”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒkoda-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1886ed693777b39a37587d850af32937”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/koda-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1bf0ef632e358c0da58c3ebb065633116222fce623347009b1aba514425d443e”h2NhNh3Œpython >=3.8,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÜÕ¥ë…hEMq1hFˆubh)”}”(hŒr-ibd”h#Œ1.5”h%Œr351h6115d3f_0”h'K hhh(h)hŒ r-ibd-1.5-r351h6115d3f_0.tar.bz2”h+Œ d1185e73a985f8f98169062d173a3bfb”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ibd-1.5-r351h6115d3f_0.tar.bz2”h0Œ@34cebeac88e0bc070f3fb51344ba28866f39c594ca8375a8043e7d40bf3aa13c”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-car”Œ	r-emmeans”Œ	r-lpsolve”Œ
r-multcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×0	N–{hEJû hFˆubh)”}”(hŒr-choroplethrmaps”h#Œ1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ-r-choroplethrmaps-1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ cc5fceb29ab7fbbdb43e35b08c32a43a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-choroplethrmaps-1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@cefa0983ac57f11a76ee68d4c134aaccefe35b0d93c3830d4e3b2bd4ab1d82a8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÒ›â° ÅhEJ8î! hFˆubh)”}”(hŒlibsoup-devel-cos7-aarch64”h#Œ2.62.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libsoup-devel-cos7-aarch64-2.62.2-h9d98e8f_104.tar.bz2”h+Œ b141587f716c28c190ae504786ad8fb0”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos7-aarch64-2.62.2-h9d98e8f_104.tar.bz2”h0Œ@a0dd959d6148b310d0fb445263dead26ddc452d98ff0b7abe19a53770e34ebda”h2NhNh3Œ#libsoup-cos7-aarch64 ==2.62.2 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É}éž§ðhEJ^) hFˆubh)”}”(hŒr-rbokeh”h#Œ0.5.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-rbokeh-0.5.2-r41hc72bb7e_2.tar.bz2”h+Œ 58269dfab30f0e1651b807b9ad30da27”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rbokeh-0.5.2-r41hc72bb7e_2.tar.bz2”h0Œ@ab3c2e87e263f4e0e3c08afc3079b3faf69d4e36f782d62be9d5457c70b651a7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-gistr”Œr-hexbin”Œr-htmlwidgets >=0.5”Œ
r-jsonlite”Œ
r-lazyeval”Œ
r-magrittr”Œr-maps”Œr-pryr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ
¯j~úhEJ›¢ hFˆubh)”}”(hŒmarbles”h#Œ0.12.1”h%Œpy_0”h'K hhh(h)hŒmarbles-0.12.1-py_0.tar.bz2”h+Œ 73bc63d78f23ea706b8f1c2028bfd554”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/marbles-0.12.1-py_0.tar.bz2”h0Œ@15a83082d3a259c2a5638a383108ce4171358a00fd6660fa629e50519686f4ab”h2NhNh3Œmarbles-core”Œmarbles-mixins”Œpython >=3.5,<3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ÉáGêáHhEM)hFˆubh)”}”(hŒjigsawpy”h#Œ0.3.3”h%Œpy_0”h'K hhh(h)hŒjigsawpy-0.3.3-py_0.tar.bz2”h+Œ 5082dc1be5847954ec311e1c4c8ccc37”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/jigsawpy-0.3.3-py_0.tar.bz2”h0Œ@e61254af23c50345d4eeef1e1735d9591532ad283c69b08d675ee1ed5ffc9ae0”h2NhNh3(Œjigsaw 0.9.14.*”Œnumpy”Œpathlib”Œpython >=3.6”t”h9h?h@Œcustom”hDGA×ßv…»"ÑhEJZ¸	 hFˆubh)”}”(hŒ	r-htmltab”h#Œ0.8.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-htmltab-0.8.2-r40hc72bb7e_0.tar.bz2”h+Œ aed668d8dfcc40d0353eb134b6f7c7e9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-htmltab-0.8.2-r40hc72bb7e_0.tar.bz2”h0Œ@7c2f59fa928888c882e445659d8b96c79563f1e6eb13c871ebbdb4ed82754bf2”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-httr >=1.0.0”Œr-xml >=3.98.1.3”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ¦:cÖ‡+hEJ¸  hFˆubh)”}”(hŒ
r-solarius”h#Œ0.3.0.2”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ+r-solarius-0.3.0.2-r42hc72bb7e_1003.tar.bz2”h+Œ b0c248dd0e71319c592f620898e5385b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-solarius-0.3.0.2-r42hc72bb7e_1003.tar.bz2”h0Œ@d5c2a999b7c5f681f3642c2df1d6ec133ca1707ee39b098dfe6223520a8a3013”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œ	r-ggplot2”Œr-plyr >=1.8.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒñÆE¢hEJK hFˆubh)”}”(hŒr-svunit”h#Œ1.0.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-svunit-1.0.6-r42hc72bb7e_1.tar.bz2”h+Œ e1ad5c63e1cde8ba8fd6715c8d359702”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-svunit-1.0.6-r42hc72bb7e_1.tar.bz2”h0Œ@55c915c169bf67e332d78879452aeb5467345d09461013e407b7e4e4e60d13af”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ
ÏßïžhEJÕ	 hFˆubh)”}”(hŒpytorch-ignite”h#Œ0.4.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pytorch-ignite-0.4.8-pyhd8ed1ab_0.tar.bz2”h+Œ 4310b62dbbf857a669895d112454b7d0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytorch-ignite-0.4.8-pyhd8ed1ab_0.tar.bz2”h0Œ@072855dc2013bc637b90b8a22696fa0d17edecea9320f23019738d52f339a0a5”h2NhNh3Œpython >=3.6”Œpytorch >=1.3,<2”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØy|wqXhEJ!: hFˆubh)”}”(hŒr-assertive.reflection”h#Œ0.0_5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ2r-assertive.reflection-0.0_5-r42hc72bb7e_1.tar.bz2”h+Œ 42d5700bc8a52c3691950e91027f5ed3”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.reflection-0.0_5-r42hc72bb7e_1.tar.bz2”h0Œ@a1f45d5ea2e97a23d07e1975380c2c105f7280e03160f48af4018f35712a9963”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ\éxÕhEJv5 hFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œ	r351_1000”h'Mèhhh(h)hŒ r-mcpan-1.1_21-r351_1000.tar.bz2”h+Œ b455e51523377326b4351d06e2f918c6”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r351_1000.tar.bz2”h0Œ@fb3769292e70f299e66d112746a5c4a896e8678fffbda5d5333dd981e1a7a167”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖüù¾whEJÕÔ hFˆubh)”}”(hŒraven”h#Œ6.10.0”h%Œpy_0”h'K hhh(h)hŒraven-6.10.0-py_0.tar.bz2”h+Œ 93186ee8abf4d148a8d0407f9954a491”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/raven-6.10.0-py_0.tar.bz2”h0Œ@35fc47b3281b0650211dbf8c01f293c38e3e32717a4da60f9abb3a3e26742f06”h2NhNh3Œcertifi”Œcontextlib2”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×´Šƒ…hEJ`§ hFˆubh)”}”(hŒlibselinux-cos7-ppc64le”h#Œ2.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libselinux-cos7-ppc64le-2.5-h9d98e8f_1104.tar.bz2”h+Œ 513fed8ce2e1ea707b208cdeff66dce1”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-ppc64le-2.5-h9d98e8f_1104.tar.bz2”h0Œ@7a901c7ab95cb0841806cb92d5a7daac3fd33d3ada6bac78a9e5897bc1166836”h2NhNh3Œ"libsepol-cos7-ppc64le >=2.5 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×É}ðº~úhEJš” hFˆubh)”}”(hŒdaops”h#Œ0.8.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ daops-0.8.1-pyh6c4a22f_0.tar.bz2”h+Œ ffc37e6b0efee255fb065476df16a813”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/daops-0.8.1-pyh6c4a22f_0.tar.bz2”h0Œ@69f7102cfc1beffd63c9f8303ae1a2ec2b32ea74433cf2cf2f91929d45d9357c”h2NhNh3(Œaiohttp”Œcftime >=1.4.1”Œclisops >=0.9.1”Œdask >=2.6.0”Œelasticsearch >=7.9.1”Œfsspec”Œintake”Œloguru >=0.5.3”Œnetcdf4 >=1.4”Œnumpy >=1.16”Œpython >=3.7”Œroocs-utils >=0.6.2”Œxarray >=0.15”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŸŒ=-¸hEMòshFˆubh)”}”(hŒ	r-exactci”h#Œ1.4_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-exactci-1.4_2-r40hc72bb7e_0.tar.bz2”h+Œ 47e23ac101608fa14063544bc0f25dff”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-exactci-1.4_2-r40hc72bb7e_0.tar.bz2”h0Œ@14cfd4f5eb98708675c9e56c2ddee99d5ca4a0bf9464f182976cc24d95dfd47a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ssanv”Œ
r-testthat”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ4ÜHbhEJ·Ï hFˆubh)”}”(hŒcogdl”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cogdl-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ c5e464214b30e3409aa0e000e577ffc7”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cogdl-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@3aac5fc795f079d4e2dd0ff5d7b4d5f96c2fc9813f8ccd97423011b3cbaf368f”h2NhNh3(Œgensim”Œgrave”Œjoblib”Œ
matplotlib”Œnetworkx”Œnumpy”Œogb”Œoptuna”Œpandas”Œprettytable 0.7.2”Œpython >=3.6”Œpytorch_cluster”Œpytorch_geometric”Œpytorch_scatter”Œpytorch_sparse”Œrequests”Œscikit-learn”Œscipy”Œsix”Œtabulate”Œ	texttable”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGA×öB–ÙhEJÚ hFˆubh)”}”(hŒr-assertive.strings”h#Œ0.0_3”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ2r-assertive.strings-0.0_3-r35h6115d3f_1002.tar.bz2”h+Œ a350e074fca8dafa7b8a12b07d8415d0”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.strings-0.0_3-r35h6115d3f_1002.tar.bz2”h0Œ@14a4d480569d759b539d60bf01f1baaa9e6a2e9703e3bc28fcf5e2b382afea8f”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=3.5,<3.6.0a0”Œ	r-stringi”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×Kô¶å¡ËhEJ®C hFˆubh)”}”(hŒ
r-emstreer”h#Œ3.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-emstreer-3.0.0-r42hc72bb7e_1.tar.bz2”h+Œ 9a3a623fa97504bf5ab688b5ef816667”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-emstreer-3.0.0-r42hc72bb7e_1.tar.bz2”h0Œ@b2f7fe5327dd1c043aedd44152e4761c80a496282670676950a3cf0156fa6535”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bbmisc”Œ	r-ggplot2”Œr-mlpack”Œr-scatterplot3d”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÒËáG®hEM;ÃhFˆubh)”}”(hŒ	overrides”h#Œ7.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$overrides-7.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ a5745ced46e69aa9754053ba061974ab”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/overrides-7.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f4d8d05292714fc8dcd3a01c57a2ad41eab88a51e7608b70ae041f2b92de16a4”h2NhNh3Œpython >=3.6”Œtyping_utils”†”h9h?h@Œ
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dxfgrabber”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒdxfgrabber-1.0.0-py_0.tar.bz2”h+Œ 87b07c9a33c1ee7bf2966aecd355cd83”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/dxfgrabber-1.0.0-py_0.tar.bz2”h0Œ@4598252727edba24d4411691e716f03f574302a2c5cb0533ef1def4c28f057eb”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hEMàhhFˆubh)”}”(hŒlibxrandr-cos6-x86_64”h#Œ1.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libxrandr-cos6-x86_64-1.5.1-h9d98e8f_1104.tar.bz2”h+Œ f173143d90b8ad132ac927d45f44d2ae”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos6-x86_64-1.5.1-h9d98e8f_1104.tar.bz2”h0Œ@987fc9bc0d7ec9ab0fb83e6b8a0984cf33490fa0c798729ba5466988a91f998c”h2NhNh3Œ!libx11-cos6-x86_64 >=1.6.0 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~Z¬hEMRVhFˆubh)”}”(hŒr-domc”h#Œ1.3.8”h%Œr41ha770c72_1”h'Khhh(h)hŒ"r-domc-1.3.8-r41ha770c72_1.tar.bz2”h+Œ 6ce064f92f495209ee545ea6b0e3ce3b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-domc-1.3.8-r41ha770c72_1.tar.bz2”h0Œ@186717a25407dbf32a9696326c18930063fd8cb0eb79ec9ea474bf770350737c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ…äÄœhEJXÏ hFˆubh)”}”(hŒr-dosnow”h#Œ1.0.20”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-dosnow-1.0.20-r41hc72bb7e_1.tar.bz2”h+Œ 892df902793c16b0fe0a8bd22947fd2b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dosnow-1.0.20-r41hc72bb7e_1.tar.bz2”h0Œ@545c23cee2eba78084448818e11aaea1262a87a8ad37d12fe3f26c54bb3f34cf”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”Œr-snow >=0.3.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐâJ1Û#hEMŸhFˆubh)”}”(hŒr-drought4r”h#Œ0.2.0”h%Œr41ha770c72_0”h'K hhh(h)hŒ'r-drought4r-0.2.0-r41ha770c72_0.tar.bz2”h+Œ 0a3d495b7b78ec67dac431be332453d5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-drought4r-0.2.0-r41ha770c72_0.tar.bz2”h0Œ@3a82e4b36c99256c62dcad1bdc212ccf1c242ed66e54bc9fd89f6826ac0a9320”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œ
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ipywidgets”Œ
jupyterlab”Œmatplotlib-base”Œnglview”Œnumpy”Œ	packaging”Œpandas”Œpython >=3.7”t”h9h?h@ŒMPL-2.0”hBŒOTHER”hDGAØÊÑ™šhEJ`) hFˆubh)”}”(hŒ	r-scholar”h#Œ0.2.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-scholar-0.2.4-r42hc72bb7e_1.tar.bz2”h+Œ 5be1096fcdd2331a7478135395b100eb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-scholar-0.2.4-r42hc72bb7e_1.tar.bz2”h0Œ@84779a38619a20cf5f8ea42a20e14b9b4c10099dec70fdb938bbf88507d87bfe”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-ggraph”Œr-httr”Œ	r-r.cache”Œr-rvest”Œ	r-stringr”Œr-tidygraph”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒùôíp¤hEJ…D hFˆubh)”}”(hŒpydoas”h#Œ1.2.4”h%Œpy_0”h'K hhh(h)hŒpydoas-1.2.4-py_0.tar.bz2”h+Œ a34f2ad87a73b7be34ccda0d648e14df”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pydoas-1.2.4-py_0.tar.bz2”h0Œ@5c5c72701b7e6b0c157e332cd7ee2e77d700b001b39b133ab0a7646adc2eabb3”h2NhNh3(Œ
matplotlib”Œnumpy”Œpandas”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×8½áÔÌÍhEMÌºhFˆubh)”}”(hŒr-lmvar”h#Œ1.5.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-lmvar-1.5.2-r40hc72bb7e_0.tar.bz2”h+Œ 71464fbf7500ad72d7785e10521645c5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lmvar-1.5.2-r40hc72bb7e_0.tar.bz2”h0Œ@83b323069a20db9dd1388a9514f05088ca236692a49932743b211c1ca8158493”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-matrix >=1.2_4”Œr-matrixcalc >=1.0_3”Œr-maxlik >=1.3_4”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ’}"ÑhEJq hFˆubh)”}”(hŒr-shinythemes”h#Œ1.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-shinythemes-1.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 46fab4a4fc60de6f38f6bda9e9a0cf01”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinythemes-1.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@e17eb2d3b72efd24638dc52c8ac7a6b7df103e71eccb26908f88686c59ca581b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-shiny >=0.11”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ×îvÉhEJêð
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wsgiproxy2”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%wsgiproxy2-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 68f68a1f6b949d0e033214d1bfdf3ed4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/wsgiproxy2-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ea1922a24ff0a5db84c76e919c61713b0c9152ed48c10089b3ed3d4a6651a41a”h2NhNh3(Œpython >=3.7”Œ
setuptools”Œsix”Œwebob”t”h9h?h@ŒMIT”hBŒMIT”hDGAØIí§\jhEM¡,hFˆubh)”}”(hŒr-ramcharts”h#Œ2.1.15”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-ramcharts-2.1.15-r41hc72bb7e_0.tar.bz2”h+Œ a12439a012d04e41dd4e83ba5aa0a560”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ramcharts-2.1.15-r41hc72bb7e_0.tar.bz2”h0Œ@a4949ba90544435547f2218e7878120aa28e3e37e094f41cea838e70f193121f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.9.6”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-piper”Œr-yaml”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÍû$[÷ÏhEJFV= hFˆubh)”}”(hŒdjango_polymorphic”h#Œ3.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-django_polymorphic-3.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ b823da1c90ece28dcff09cf751c67d3d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/django_polymorphic-3.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@df8f0f3f982c7cd397e3d615d2ccbb743b6b6cf9e6d54767f28d0a3b823c59e9”h2NhNh3Œdjango >=2.1”Œpython >=3.6”Œ
setuptools”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØeŸ]WPhEM!¾hFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libx11-cos6-x86_64-1.6.4-h9d98e8f_104.tar.bz2”h+Œ 402ce0bf44da7645f4248cb3d1912fbf”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-h9d98e8f_104.tar.bz2”h0Œ@f9f35298e79d2b38e6b034fed5cdcbe900d6379d5ff78201998d92684150344f”h2NhNh3Œ'libx11-common-cos6-x86_64 ==1.6.4 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{u?}hEJz hFˆubh)”}”(hŒr-lognormreg”h#Œ0.5_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-lognormreg-0.5_0-r41hc72bb7e_1.tar.bz2”h+Œ 6544c4959ede4affe0f6fc95c133cb3f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-lognormreg-0.5_0-r41hc72bb7e_1.tar.bz2”h0Œ@f360d55cf008e14509691d83a0916bb7abee0e2801f5e4293529de8339eeb84d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒYGm¡ËhEJ¥{ hFˆubh)”}”(hŒmesa-khr-devel-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_101”h'Kehhh(h)hŒ7mesa-khr-devel-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h+Œ 16f1a9f97f99831a5de9b4af64cbe0a7”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h0Œ@5cd200ee27aeeba5607910d9388a7672678a147260a916a149323868142b1b0d”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å0•hEMVhFˆubh)”}”(hŒ	r-swagger”h#Œ3.33.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-swagger-3.33.1-r40hc72bb7e_0.tar.bz2”h+Œ a6c0afeeeecfd3fe353394ed50d08994”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-swagger-3.33.1-r40hc72bb7e_0.tar.bz2”h0Œ@c8a6edc7552a33f7acb70f9362d8d30ce6ecfeaa70bc4fe9426f0e48ede12355”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ*í›"ÑhEJl= hFˆubh)”}”(hŒ	r-english”h#Œ1.2_6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-english-1.2_6-r40hc72bb7e_0.tar.bz2”h+Œ 06dfc6e99a949378f3d4f30557fbcbc5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-english-1.2_6-r40hc72bb7e_0.tar.bz2”h0Œ@1c0408d28fa6fda49b477b682d0bece35c759694a8550f1e5af3887d2599d04d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØH×j»•hEJÙ8 hFˆubh)”}”(hŒgconf2-cos7-x86_64”h#Œ3.2.6”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.gconf2-cos7-x86_64-3.2.6-h9b0a68f_1105.tar.bz2”h+Œ b826e0ea869d56928aa1a3f6b90ebd81”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gconf2-cos7-x86_64-3.2.6-h9b0a68f_1105.tar.bz2”h0Œ@540353b50ad719760a51875e9579b74aec1248210b499d551199e47d381b5b16”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGAØ@i*ÚMÓhEJ­ hFˆubh)”}”(hŒlibrdmacm-devel-cos6-x86_64”h#Œ1.0.21”h%Œ
h1341992_0”h'K hhh(h)hŒ5librdmacm-devel-cos6-x86_64-1.0.21-h1341992_0.tar.bz2”h+Œ 043cb523000578a3b91195ab57cbe12e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/librdmacm-devel-cos6-x86_64-1.0.21-h1341992_0.tar.bz2”h0Œ@e580d8311d71076717bf5e8fc674233facf0c553713210fa0d3c99488bb3be4e”h2NhNh3Œlibrdmacm-cos6-x86_64 1.0.21”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×G3ÂÐ ÅhEJ™ hFˆubh)”}”(hŒlibsm-devel-cos7-ppc64le”h#Œ1.2.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libsm-devel-cos7-ppc64le-1.2.2-h9d98e8f_104.tar.bz2”h+Œ 41e3de227c3fe03c26ccae145b076221”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-ppc64le-1.2.2-h9d98e8f_104.tar.bz2”h0Œ@5883168adf44aa19bf4850144d317042689c4420a0f831de3f137228a06254f6”h2NhNh3Œ libsm-cos7-ppc64le ==1.2.2 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{'kÆ¨hEMq"hFˆubh)”}”(hŒr-stopwords”h#Œ2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-stopwords-2.3-r41hc72bb7e_1.tar.bz2”h+Œ 1d45b8609b3b05f69c1b0d449895c7cb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stopwords-2.3-r41hc72bb7e_1.tar.bz2”h0Œ@dacd88b4d5d53d72bb79119ccd40b9e9e1bf3adf5da0cffaf243142eee575757”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-desc”Œ
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Apache-2.0”hBŒApache”hDGA×Q¼ÝƒçmhEMR"hFˆubh)”}”(hŒr-eva”h#Œ0.2.6”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ!r-eva-0.2.6-r36hc72bb7e_0.tar.bz2”h+Œ 12a8f27c20fc315f5bbe0c3c5d3b4d9d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-eva-0.2.6-r36hc72bb7e_0.tar.bz2”h0Œ@5bb267b68ea66eb57542bd1b02d892ee21cbe18fee4fb0de1e71607b62be423a”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-envstats”Œr-matrix”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ì^B°ƒhEJþÊ# hFˆubh)”}”(hŒr-iml”h#Œ0.11.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-iml-0.11.1-r42hc72bb7e_1.tar.bz2”h+Œ 53a6c6cf22b6ca3670bb38b83ab5940b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-iml-0.11.1-r42hc72bb7e_1.tar.bz2”h0Œ@ab0a1b32548ce836c82b15e1f145f777163e6ea0979b7fe035fd667d8ee3ccea”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-data.table”Œ	r-formula”Œr-future”Œr-future.apply”Œ	r-ggplot2”Œr-keras >=2.2.5.0”Œ	r-metrics”Œr-prediction”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ½ƒbÀƒhEJÍ hFˆubh)”}”(hŒr-lcars”h#Œ0.3.7”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-lcars-0.3.7-r41hc72bb7e_1.tar.bz2”h+Œ c3b865cfb844151f9117e51f7dfad93c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lcars-0.3.7-r41hc72bb7e_1.tar.bz2”h0Œ@a7a76eddfe30df50b159701d32244b708067e0bfd48356141efb35ef384484d9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-shiny”Œr-trekcolors”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒZ‡;dhEJÚï	 hFˆubh)”}”(hŒpynvim”h#Œ0.4.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!pynvim-0.4.3-pyhd8ed1ab_1.tar.bz2”h+Œ 8e3f2af62d929c8d59d1800e7a073ec0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pynvim-0.4.3-pyhd8ed1ab_1.tar.bz2”h0Œ@ba3f0eb18b4d2cf3642bbc9ed16bdd74d6a5a5914ff01da582e5bbe1f0032491”h2NhNh3Œgreenlet”Œmsgpack-python >=0.5.0”Œpython >=3.4”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØØ¡ÜÖùÛhEM;hFˆubh)”}”(hŒqnorm”h#Œ0.8.1”h%Œpyh6c4a22f_1”h'Khhh(h)hŒ qnorm-0.8.1-pyh6c4a22f_1.tar.bz2”h+Œ ad492ce13cc10b5c2c5d724d3e5a690a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/qnorm-0.8.1-pyh6c4a22f_1.tar.bz2”h0Œ@a8ab02a368a75cc265ab6da2b99984b0e9f73220787bfd8994b4099608b42939”h2NhNh3Œnumba”Œnumpy <=1.20”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ€ŽÒi©ühEMuBhFˆubh)”}”(hŒ	r-cvtools”h#Œ0.3.2”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ(r-cvtools-0.3.2-r41hc72bb7e_1004.tar.bz2”h+Œ 7d4f5c1a2dd5ae5ed82bcb3738f0d217”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cvtools-0.3.2-r41hc72bb7e_1004.tar.bz2”h0Œ@01571b5f453f83a671836137ee0ac4fe0d0b8fe89ed87b2f6aaa99bfd0d5dd4f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-robustbase”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐâbx ÅhEJï† hFˆubh)”}”(hŒ
geoplotlib”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%geoplotlib-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 4ff543c27598d34c14aabea931ead83b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/geoplotlib-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6c0513e3c0c638ad91fbd786f0b0e4ccf1081c4f7b15d4bf696a979a61df4423”h2NhNh3Œnumpy”Œpyglet >=1.2.4”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ-BŸNvÉhEM™bhFˆubh)”}”(hŒpytest-emoji”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pytest-emoji-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ bb3982cdd7fc4b08efb7c3de53348038”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pytest-emoji-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f2f39fc1a0a8b7386de14f30754b888ca939a3ce91f875e69ba6dbc04792d88c”h2NhNh3Œpytest >=4.2.1”Œpython >=3.4”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ­ÐÃt¼hEMø%hFˆubh)”}”(hŒgwcelery”h#Œ2.0.1”h%Œpyh285e1e0_0”h'K hhh(h)hŒ#gwcelery-2.0.1-pyh285e1e0_0.tar.bz2”h+Œ fc7c0c62defdcdd2f7831af9a59ba497”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/gwcelery-2.0.1-pyh285e1e0_0.tar.bz2”h0Œ@3a6dfca5e198c22f7943618037f1677f89c7fbe07444c796f994e2e884b3bf24”h2NhNh3(Œadc-streaming >=2.2.0”Œastropy >=4.3.1”Œbilby_pipe >=1.0.6”Œblinker >=1.1”Œcelery >=5.1”Œ	click >=7”Œcomet”Œ	dnspython”Œflask >=2.2”Œflask-caching”Œgracedb-sdk >=0.1.5”Œgwdatafind >=1.1.1”Œgwpy >=2.0.1”Œhealpy”Œhop-client >=0.7.0”Œigwn-alert >=0.2.2”Œ
imapclient”Œjinja2 >=2.11.2”Œligo-followup-advocate >=1.1.6”Œligo-gracedb >=2.7.5”Œligo-raven >=2.0”Œligo-segments”Œligo.em-bright >=1.0.4”Œligo.skymap >=0.4.0”Œlscsoft-glue”Œlxml”Œnumpy”Œp_astro >=1.0.1”Œ	pesummary”Œpygcn >=1.0.1”Œpython >=3.8,<3.11”Œ%python-confluent-kafka >=1.9.2,<2.0.0”Œpython-lal >=7.1.2”Œpython-ligo-lw >=1.8.3,<2.0.0”Œredis-py”Œ
safe-netrc”Œ
sentry-sdk”Œservice_identity”Œtornado >=5”Œvoeventlib >=1.2”Œwerkzeug >=0.15.0”Œ	zstandard”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØØžIi‰7hEJž $ hFˆubh)”}”(hŒr-captioner”h#Œ2.2.3”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ*r-captioner-2.2.3-r36h6115d3f_1003.tar.bz2”h+Œ 4a73728c169b532489034f6d836fcf82”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-captioner-2.2.3-r36h6115d3f_1003.tar.bz2”h0Œ@4e8de7afcc59134a225c16bb30682a325de301e7db4d72640d42924abf89019a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×M%iŽvÉhEMÇ•hFˆubh)”}”(hŒ!xorg-x11-util-macros-cos7-ppc64le”h#Œ1.19.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ>xorg-x11-util-macros-cos7-ppc64le-1.19.0-h9d98e8f_1104.tar.bz2”h+Œ fd8c15b69a75d4dad4e375ea39361903”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-ppc64le-1.19.0-h9d98e8f_1104.tar.bz2”h0Œ@c98256c623678541ccdc9be9f3e0991544cca77269242d806dcb93782719babe”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Ézã“hEMžªhFˆubh)”}”(hŒlibibmad-devel-cos6-x86_64”h#Œ1.3.11”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libibmad-devel-cos6-x86_64-1.3.11-h9b0a68f_105.tar.bz2”h+Œ 1726aeb90b0db8c717d1249c48b42502”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libibmad-devel-cos6-x86_64-1.3.11-h9b0a68f_105.tar.bz2”h0Œ@9b98178f1cc450e20827435560ef5d8babf172e5e58683f492b7b969962c17c5”h2NhNh3Œ#libibmad-cos6-x86_64 ==1.3.11 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ³ÿç‡l‹hEMÝYhFˆubh)”}”(hŒsysroot-cos6-x86_64”h#Œ2.12”h%Œha34e187_15”h'Khhh(h)hŒ,sysroot-cos6-x86_64-2.12-ha34e187_15.tar.bz2”h+Œ 2c3daa746552541beb1e793ff8e2a307”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos6-x86_64-2.12-ha34e187_15.tar.bz2”h0Œ@b7b28c4d2acf73411abf704d434dadcef76a182eb0ea1642a4ddd7e636ec9a57”h2NhNh3Œsysroot_linux-64 2.12”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ_ç‚áHhEME5hFˆubh)”}”(hŒr-listarrays”h#Œ0.3.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-listarrays-0.3.1-r36h6115d3f_0.tar.bz2”h+Œ 69b1df34aed68d4076e22e7f3d741beb”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-listarrays-0.3.1-r36h6115d3f_0.tar.bz2”h0Œ@64a72df1e44dd6e56265d58dcae2e726e9741bcd0eec7399aeb41e0760036ba5”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×™I ø1'hEJ_Î hFˆubh)”}”(hŒhttpx”h#Œ0.18.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!httpx-0.18.1-pyhd8ed1ab_0.tar.bz2”h+Œ bf352cb02bd122cb2a3cfbdec88edb01”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/httpx-0.18.1-pyhd8ed1ab_0.tar.bz2”h0Œ@be40f6d15f5c364406d3f39a9b440149df1f70d0fb3b862ce18dec957a23ee7a”h2NhNh3(Œcertifi”Œhttpcore >=0.13.0,<0.14.0”Œidna 2.*”Œpython >=3.6”Œrfc3986 >=1.3,<2”Œsniffio”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ"¶Ãr°hEMAòhFˆubh)”}”(hŒtimehash”h#Œ1.1”h%Œpy_1”h'Khhh(h)hŒtimehash-1.1-py_1.tar.bz2”h+Œ 9e17721a1181b2e42ceefcca07fde271”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/timehash-1.1-py_1.tar.bz2”h0Œ@11b0ae4aab2f8432ca698b8a57acd1de8b809e6d7426bb2a546e22db3c22fe2e”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-clause”hBŒBSD”hDGA×š•óÞhEM•hFˆubh)”}”(hŒ
r-elliptic”h#Œ1.4_0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-elliptic-1.4_0-r36h6115d3f_1.tar.bz2”h+Œ 6e812133d237fa0977ddda72f90b29b8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elliptic-1.4_0-r36h6115d3f_1.tar.bz2”h0Œ@1a43e1af70b68247e6809580e94bce1c64878ce55bfe374f68d1da6c46545df4”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Kþ¤í‘hEJÑ hFˆubh)”}”(hŒjsonapi-requests”h#Œ0.6.2”h%Œpy_0”h'K hhh(h)hŒ#jsonapi-requests-0.6.2-py_0.tar.bz2”h+Œ 4394e2c72e8501485982a5c2e4d340fd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jsonapi-requests-0.6.2-py_0.tar.bz2”h0Œ@bc837ae71add9cff5b51180690ce16a2a12167c2a737acd4d3d4a0feb94011a9”h2NhNh3Œ
python >=3”Œrequests”Œtenacity”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ãÆ­]VhEMÜ6hFˆubh)”}”(hŒr-svgui”h#Œ1.0.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ#r-svgui-1.0.1-r36hc72bb7e_0.tar.bz2”h+Œ dbbaf8417af4649e122a214ca043e624”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-svgui-1.0.1-r36hc72bb7e_0.tar.bz2”h0Œ@01f64cf1755b1893adf1495986fdc2d17b3dc5073367b995466840ee9bc5e894”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØxý¸hEJ– hFˆubh)”}”(hŒlibx11-common-cos6-x86_64”h#Œ1.6.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libx11-common-cos6-x86_64-1.6.4-h9d98e8f_104.tar.bz2”h+Œ 4469884babd1bbb0294fb68d5d4a3c3b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos6-x86_64-1.6.4-h9d98e8f_104.tar.bz2”h0Œ@822dc9cd20fd4c287b1c072126a125d8177d8a7ff6e3fa48aaec56a69862292e”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy¨ùxÕhEJ= hFˆubh)”}”(hŒr-shinydashboard”h#Œ0.7.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-shinydashboard-0.7.2-r40hc72bb7e_0.tar.bz2”h+Œ 3bfbc764ebd5231a8a4c3828254b5fee”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinydashboard-0.7.2-r40hc72bb7e_0.tar.bz2”h0Œ@2f679f6c8225bea1dc035c6f4c95cb07a1704ee8b31832de7e11656b2160261c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools >=0.2.6”Œ
r-promises”Œr-shiny >=1.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØUšVÙhEJt“ hFˆubh)”}”(hŒjupyterlab-topbar”h#Œ0.6.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,jupyterlab-topbar-0.6.1-pyhd8ed1ab_1.tar.bz2”h+Œ 086ea7a23a07ece237f82e8f75931ef8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-topbar-0.6.1-pyhd8ed1ab_1.tar.bz2”h0Œ@eae03e3882833ea96cceb159237da7863d2acc7b02a27db773a73d10e4897917”h2NhNh3Œjupyterlab >=3.0.0,<4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØö)ƒhEM§QhFˆubh)”}”(hŒlibxi-devel-cos7-aarch64”h#Œ1.7.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libxi-devel-cos7-aarch64-1.7.9-ha826a6f_1103.tar.bz2”h+Œ 88042cdf1e2e6b43242328ef8d74cd07”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-aarch64-1.7.9-ha826a6f_1103.tar.bz2”h0Œ@2a521b337b491757d6830a251285c08b383a62c36d9e160ce1b099e13fe12660”h2NhNh3Œ!libxi-cos7-aarch64 ==1.7.9 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3¨6$ÝhEJju hFˆubh)”}”(hŒcompas_mobile_robot_reloc”h#Œ1.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4compas_mobile_robot_reloc-1.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 6916797247aa6eb4a0fa933d685f53b8”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/compas_mobile_robot_reloc-1.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@25753fbc1285132efdc4fa97d36061d0c056448be9a58b249ba95c7dad35d84f”h2NhNh3Œcompas >=0.17.2,<1.3”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØIÚåiG®hEMšAhFˆubh)”}”(hŒgeant4-data-ensdfstate”h#Œ2.3”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ-geant4-data-ensdfstate-2.3-hd8ed1ab_0.tar.bz2”h+Œ 4de8708d1019d438ee162bf77fa14c8c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/geant4-data-ensdfstate-2.3-hd8ed1ab_0.tar.bz2”h0Œ@44910af09e0abc62812ae9c15d6df9f5690022ca633bda318d57caa6bcf57637”h2NhNh3)h9hºh@ŒOTHER”hDGA×ç–'\)hEJ¸ hFˆubh)”}”(hŒr-gsa”h#Œ1.03.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-gsa-1.03.2-r41hc72bb7e_1.tar.bz2”h+Œ 9740ec37f8d914792869dac9a4f28d6d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-gsa-1.03.2-r41hc72bb7e_1.tar.bz2”h0Œ@64006cfcab8ff2dad6fe0f2039b11b98c9a9b27978acbd34ba449cc510c1cd40”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØÒiÿ}/hEJ…³ hFˆubh)”}”(hŒcups-devel-cos7-x86_64”h#Œ1.6.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2cups-devel-cos7-x86_64-1.6.3-h9d98e8f_1104.tar.bz2”h+Œ 83faaf5cad7b8b1e2ee6427255603905”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos7-x86_64-1.6.3-h9d98e8f_1104.tar.bz2”h0Œ@6342122366b52310744f3703c1467fc135715a8559af26e05788afd28dab3642”h2NhNh3Œ$cups-libs-cos7-x86_64 ==1.6.3 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É}JðÔþhEM‘îhFˆubh)”}”(hŒpycp2k”h#Œ0.2.2”h%Œpy_2”h'Khhh(h)hŒpycp2k-0.2.2-py_2.tar.bz2”h+Œ d53139a19a92f30ffd984f3789188fb8”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pycp2k-0.2.2-py_2.tar.bz2”h0Œ@1a2ed2a1802680a93739db70b49e4ee01f9ec416dac523c2bd72fa29d486b667”h2NhNh3(Œase”Œfuture”Œnumpy”Œpython”t”h9h?h@ŒLGPL-3.0”hBŒLGPL”hDGA×[KuOßhEJŒÏ hFˆubh)”}”(hŒmapboxgl”h#Œ0.10.2”h%Œpy_0”h'K hhh(h)hŒmapboxgl-0.10.2-py_0.tar.bz2”h+Œ a276c11c221299c971d8e3914eb3a5f8”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/mapboxgl-0.10.2-py_0.tar.bz2”h0Œ@94062e7feb480a316d34260245576e81165929176ff37a65f1993f6e46785078”h2NhNh3(Œ	chroma-py”Œcolour”Œgeojson”Œipython”Œjinja2”Œ
matplotlib”Œpython”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGA×E7áÊÁhEMáPhFˆubh)”}”(hŒr-phylogram”h#Œ2.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-phylogram-2.1.0-r36h6115d3f_1.tar.bz2”h+Œ 337d5abc3952aa85b79759bcc2c81343”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-phylogram-2.1.0-r36h6115d3f_1.tar.bz2”h0Œ@a9e7dbea64b71bdd56ada3e4d288044bc25b2dac934a08c0c64019339586db6d”h2NhNh3Œr-ape >=4.0”Œr-base >=3.6,<3.7.0a0”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯‘¾E¢hEJJM hFˆubh)”}”(hŒ	colormath”h#Œ3.0.0”h%Œpy_2”h'Khhh(h)hŒcolormath-3.0.0-py_2.tar.bz2”h+Œ 724c323d724ab98bca84f88d03cff543”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/colormath-3.0.0-py_2.tar.bz2”h0Œ@f6a6bb43a7a0261f9e3301277768519a6d8f2b5e504aee8eaadd445c975111f5”h2NhNh3Œnetworkx >=2.0”Œnumpy”Œpython”‡”h9h?h@ŒBSD”hBŒBSD”hEMì‰hFˆubh)”}”(hŒpep621”h#Œ0.4.0.post2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pep621-0.4.0.post2-pyhd8ed1ab_0.tar.bz2”h+Œ 9553e17f0fbf4a5662e14f6bae393842”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pep621-0.4.0.post2-pyhd8ed1ab_0.tar.bz2”h0Œ@f1b864b53b7f3094f9f5b9b03f04761cbb66d841bd653e685f7d22a00513bcf2”h2NhNh3Œpackaging >=19.0”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØª=z\hEM¯)hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr41hc72bb7e_1005”h'Míhhh(h)hŒ+r-cellranger-1.1.0-r41hc72bb7e_1005.tar.bz2”h+Œ 3adc15341fd416febf7168a2fe895e30”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r41hc72bb7e_1005.tar.bz2”h0Œ@3da55fd29eeaac5e523e4e70e73b507d62b3e51c107108f290b87d8c33bab484”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐA“W
=hEJvµ hFˆubh)”}”(hŒlibselinux-devel-cos7-ppc64le”h#Œ2.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libselinux-devel-cos7-ppc64le-2.5-h9b0a68f_105.tar.bz2”h+Œ fc091b82b824ca8f35c96e2e08c99c47”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-ppc64le-2.5-h9b0a68f_105.tar.bz2”h0Œ@85f7094dcbf43dc4ed55fbc15bd702695d27f053447f6c70be7fc52d2a983212”h2NhNh3Œ#libselinux-cos7-ppc64le ==2.5 *_105”Œ'libsepol-devel-cos7-ppc64le >=2.5 *_105”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@Ž5ráHhEJÓ` hFˆubh)”}”(hŒr-factormerger”h#Œ0.4.0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ*r-factormerger-0.4.0-r36h6115d3f_2.tar.bz2”h+Œ 802c4b9945ec5f402ee9fcf6353ece67”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-factormerger-0.4.0-r36h6115d3f_2.tar.bz2”h0Œ@a064ad26ee1cf8efaf8f6083acb75f16e9457b602337a9eac458608751a8c3c2”h2NhNh3(Œr-agricolae”Œr-base >=3.6,<3.7.0a0”Œr-colorramps”Œr-dplyr”Œ	r-forcats”Œr-formula.tools”Œ	r-ggplot2”Œr-ggpubr”Œr-knitr”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL”hBŒGPL”hDGA×¬ÒX¯;dhEJaÎ$ hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy38h1234567_1”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py38h1234567_1.tar.bz2”h+Œ c48cbd5218eabc098390e7c2b28edcf3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py38h1234567_1.tar.bz2”h0Œ@5a2d6c315b6abe0d9efb120989ad8966d7a64fa8ddf784557c9a06d6092b544f”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØˆ9*ãThEMÂùhFˆubh)”}”(hŒr-wesanderson”h#Œ0.3.6”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ,r-wesanderson-0.3.6-r41hc72bb7e_1004.tar.bz2”h+Œ c2e9ab9da3349806c9955889ba9a5a9b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-wesanderson-0.3.6-r41hc72bb7e_1004.tar.bz2”h0Œ@b652c1f8f29a2b53fbc8f07685342dc30854d56a3177f5eafd097702e2e5835d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsRÄH´9hEMNehFˆubh)”}”(hŒ"xcb-util-keysyms-devel-cos7-x86_64”h#Œ0.4.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ>xcb-util-keysyms-devel-cos7-x86_64-0.4.0-h9d98e8f_1104.tar.bz2”h+Œ 6af42ceca440b659469975b487f6f798”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-devel-cos7-x86_64-0.4.0-h9d98e8f_1104.tar.bz2”h0Œ@11f30869670ff8345abb66d71ad80ec5c3a2b2bdff9f0173daee06d099a5d027”h2NhNh3Œsysroot_linux-64 2.17.*”Œ+xcb-util-keysyms-cos7-x86_64 ==0.4.0 *_1104”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Óéq7LhEMÒhFˆubh)”}”(hŒsly”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsly-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ df561160acf8f614e44f1bca424187f8”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sly-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@2ffbcd99812092584d1aa7cf68276ded971ea195eab4adb7a5e922a25480791e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-Protection”hDGAØ-Eg™ûçhEM|ihFˆubh)”}”(hŒca-certificates-cos7-ppc64le”h#Œ	2020.2.41”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<ca-certificates-cos7-ppc64le-2020.2.41-h9b0a68f_1105.tar.bz2”h+Œ f38b54c40ff97e0a050fdee4b87b8e49”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/ca-certificates-cos7-ppc64le-2020.2.41-h9b0a68f_1105.tar.bz2”h0Œ@72539d4d75e84be7f3f1ae490f5c27315e7fc7163df401f0e6b9663a1674f6dd”h2NhNh3Œ$p11-kit-cos7-ppc64le >=0.23.5 *_1105”Œ*p11-kit-trust-cos7-ppc64le >=0.23.5 *_1105”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@ŽÕ©ühEJ( hFˆubh)”}”(hŒkernel-headers-cos7-ppc64le”h#Œ3.10.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ8kernel-headers-cos7-ppc64le-3.10.0-h9d98e8f_1104.tar.bz2”h+Œ d3751ca2dbd1b32cd64cafd433869846”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos7-ppc64le-3.10.0-h9d98e8f_1104.tar.bz2”h0Œ@2b27b7e1cb2ecbd9715a590c884973a8e6a43cb612fb01046f95605b4e9132c2”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ÉzaXQìhEMöhFˆubh)”}”(hŒlibselinux-cos7-x86_64”h#Œ2.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libselinux-cos7-x86_64-2.5-ha826a6f_1103.tar.bz2”h+Œ c25710f7e64e0da0fc4917c78c9d4c18”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-x86_64-2.5-ha826a6f_1103.tar.bz2”h0Œ@0e1d81618e09475597a0ce88811f83f5b8b1c63c9641cb84c4930b1c24d3b896”h2NhNh3Œ!libsepol-cos7-x86_64 >=2.5 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Æ1o®hEJk} hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr36h6115d3f_3”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r36h6115d3f_3.tar.bz2”h+Œ 5ff09ab3f15554dd023ec80d8a28dffc”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r36h6115d3f_3.tar.bz2”h0Œ@23326a227717828d0dd0bbb5288216228d02355f238f428bf520ec03e8216bab”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Äd3( ÅhEJTö hFˆubh)”}”(hŒr-assertive.files”h#Œ0.0_2”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ1r-assertive.files-0.0_2-r351h6115d3f_1001.tar.bz2”h+Œ 77d791b94fa7a0d8bb7c25e83ae99b04”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-assertive.files-0.0_2-r351h6115d3f_1001.tar.bz2”h0Œ@ab0935bad98c1a9b6c42418ee81c5423a6c4325cd2bd2390bd82247a4a8c1a2c”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.numbers”Œr-base >=3.5.1,<3.5.2.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖüöPhEJ}I hFˆubh)”}”(hŒ	wxyz_dvcs”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$wxyz_dvcs-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4092879787321ae7a23225d7c8f979a8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/wxyz_dvcs-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b4317d1fab8516e53c3bf2b27228ce38bf050293d2f40443f3ff11a0b04438a5”h2NhNh3(Œ	gitpython”Œpython >=3.6”Œpyyaml”Œwatchgod”Œwxyz_core >=0.5,<0.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ.ž–¬ZhEMfthFˆubh)”}”(hŒr-shinybusy”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-shinybusy-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ c0f1951b9a03bc5265530518916f6fa1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinybusy-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@9b0dbdb4c98c85025673375212d51207584064e643606b5f2fbbcf9680f8fc44”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØž«êØ  hEJfJ	 hFˆubh)”}”(hŒconda-build-all”h#Œ1.1.3”h%Œpy_0”h'K hhh(h)hŒ"conda-build-all-1.1.3-py_0.tar.bz2”h+Œ a108b61e5eb19d19c6e137d0a63c6bf7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/conda-build-all-1.1.3-py_0.tar.bz2”h0Œ@da0112f470a03b9a1c0960abcc7018b9bb49b39f63badd7745792436f693fc2b”h2NhNh3(Œanaconda-client”Œconda >=4.2”Œconda-build >=1.21.7”Œ	gitpython”Œmock”Œpython”t”h9h?h@ŒBSD 3-clause”hEM†fhFˆubh)”}”(hŒlibpng-cos7-aarch64”h#Œ1.5.13”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libpng-cos7-aarch64-1.5.13-h9d98e8f_1104.tar.bz2”h+Œ 4574c6ea3a4a8e52cb75104258aaa709”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libpng-cos7-aarch64-1.5.13-h9d98e8f_1104.tar.bz2”h0Œ@6e3522ce3ad45b679ab49aef72dc241a407d03c2699968a482e4f4014daf7643”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@Œzlib”hBŒOther”hDGA×Éyå&‡+hEJ hFˆubh)”}”(hŒ	r-rvcheck”h#Œ0.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-rvcheck-0.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 73bd2ae60d3ad84e27063861d2924203”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rvcheck-0.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@3653b29f5c2a6796f9e16181c238510e9ea3cbc4f7064f093b3ad753a4cb8b97”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-biocmanager”Œr-rlang”Œr-yulab.utils”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÐ±ÎñªhEMâ¤hFˆubh)”}”(hŒr-skewhyperbolic”h#Œ0.4_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-skewhyperbolic-0.4_0-r42hc72bb7e_1.tar.bz2”h+Œ 01ffa22b126d8b576d31b1887263c85b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-skewhyperbolic-0.4_0-r42hc72bb7e_1.tar.bz2”h0Œ@c8db5160daf3cfdb694adbf2ef105d8d55272f0f9e880a6aecf1ab8edd437732”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-distributionutils”Œr-generalizedhyperbolic”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒçeó¶hEJÖÿ hFˆubh)”}”(hŒzipfile2”h#Œ0.0.12”h%Œpy_0”h'K hhh(h)hŒzipfile2-0.0.12-py_0.tar.bz2”h+Œ c1b1f4c3d35257da6c3bb2947435f289”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/zipfile2-0.0.12-py_0.tar.bz2”h0Œ@cf1ab3993ce6d05b2531d1ab9748fda471a745ee19e5a675478acb7e2c18752f”h2NhNh3Œpython”…”h9h?h@Œ
Python-2.0”hBŒPSF”hDGA×3LÔzáhEMdºhFˆubh)”}”(hŒ	pyct-core”h#Œ0.4.6”h%Œpy_0”h'K hhh(h)hŒpyct-core-0.4.6-py_0.tar.bz2”h+Œ 55ec526f95e0959de3f68bc6289a20da”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pyct-core-0.4.6-py_0.tar.bz2”h0Œ@8abc24dcf2782feca867974ba2aa0c9aaeae0966dad3f54507b39da30123d481”h2NhNh3Œparam >=1.7.0”Œpython”†”h6Œ
pyct 0.4.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖ÷M1©ühEM5hFˆubh)”}”(hŒ	r-mratios”h#Œ1.4.2”h%Œr40h6115d3f_0”h'K hhh(h)hŒ%r-mratios-1.4.2-r40h6115d3f_0.tar.bz2”h+Œ efa6ccfed36fc683dd6ef96b18da9356”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mratios-1.4.2-r40h6115d3f_0.tar.bz2”h0Œ@078e8c69fa824a789ea5c9a40a2065750f304bbc5dba4a6e55fa79c30715b019”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-multcomp”Œ	r-mvtnorm”Œ
r-survival”Œr-survpresmooth”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×»>d±xÕhEJfý hFˆubh)”}”(hŒrb-jekyll-swiss”h#Œ1.0.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ(rb-jekyll-swiss-1.0.0-hd4c1694_0.tar.bz2”h+Œ a5d05b3f86f7fb02f1d2c00f395d0f70”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-swiss-1.0.0-hd4c1694_0.tar.bz2”h0Œ@1e5193391b1f92f9ed4539cae4434b497b4724ab58a0f6c2a70aa0d337534294”h2NhNh3Œrb-jekyll >=3.3,<4”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[]5ÎÙhEM«thFˆubh)”}”(hŒ
flask-mqtt”h#Œ1.1.1”h%Œpy_0”h'K hhh(h)hŒflask-mqtt-1.1.1-py_0.tar.bz2”h+Œ a33f41497dcd3b29987ce6643a0e3d25”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/flask-mqtt-1.1.1-py_0.tar.bz2”h0Œ@ac140f07250414d7485ca249044d05909633bb33ae770968fd9721211d05c482”h2NhNh3Œflask”Œ	paho-mqtt”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ªûsÕó¶hEMy,hFˆubh)”}”(hŒr-lmesplines”h#Œ1.1_12”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-lmesplines-1.1_12-r40hc72bb7e_0.tar.bz2”h+Œ 011810b78b202fb278c6bbfa3b906e9d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-lmesplines-1.1_12-r40hc72bb7e_0.tar.bz2”h0Œ@79e1b95a8602c61eb116986fdcf03b38076e79a05f6e9a5174d05ba8a655bdb3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-nlme >=3.1_29”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØœvþffhEMÚ˜hFˆubh)”}”(hŒr-tfprobability”h#Œ0.15.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-tfprobability-0.15.1-r42hc72bb7e_1.tar.bz2”h+Œ b42ec893a4217858a6d24dcc360b9941”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tfprobability-0.15.1-r42hc72bb7e_1.tar.bz2”h0Œ@4a37226523ec9ebb4462454a0b54dff55290395b79c41771c478971fb784bf9e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-keras”Œ
r-magrittr”Œr-reticulate”Œr-tensorflow >=2.2.0”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÑ÷€›÷ÏhEJD! hFˆubh)”}”(hŒ	rb-liquid”h#Œ4.0.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ"rb-liquid-4.0.0-hd4c1694_0.tar.bz2”h+Œ d815fec135b4bb3f43d7efbca33fa486”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-liquid-4.0.0-hd4c1694_0.tar.bz2”h0Œ@332e61c93ee03fdccbf7b8b07c254925e41194ba73143c2c088263351c14232e”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×[
)MOßhEJ-$ hFˆubh)”}”(hŒgraphene-django”h#Œ2.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+graphene-django-2.15.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9cf5c41d6538d698b9d8d4d84544f4a9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/graphene-django-2.15.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c180d28dbd1270b8cf287bac56f0dbf68257186432997c2aceb7913b57c2a6f0”h2NhNh3(Œdjango >=1.11”Œgraphene >=2.1.7,<3”Œgraphql-core >=2.1.0,<3”Œpromise >=2.1”Œpython >=2.7”Œsingledispatch >=3.4.0.3”Œsix >=1.10.0”Œtext-unidecode”t”h9h?h@ŒMIT”hBŒMIT”hDGA×þ=ì2^5hEM)íhFˆubh)”}”(hŒlibxi-devel-cos6-x86_64”h#Œ1.7.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libxi-devel-cos6-x86_64-1.7.8-hdf0574f_1102.tar.bz2”h+Œ a145de4753a7fc0b53735b65e51d6553”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos6-x86_64-1.7.8-hdf0574f_1102.tar.bz2”h0Œ@c06c181b50b894233a9f79fb346ea45b80accf26f9b971ec6ba86ced52ed5b89”h2NhNh3Œ libxi-cos6-x86_64 ==1.7.8 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµoY©ühEJ‘r hFˆubh)”}”(hŒgeodemo”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"geodemo-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ c550bedcb3f70febc2624d1fc999079a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/geodemo-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5688edd4111be76d939360ce47f4ba5a8e5e5d6ad2df649a6bf9ede57124b3a5”h2NhNh3(Œearthengine-api”Œfolium”Œ	geopandas”Œipyfilechooser”Œ
ipyleaflet”Œpyshp”Œpython >=3.6”Œwhitebox >=1.4.1”Œwhiteboxgui”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ%€iEó¶hEM?5hFˆubh)”}”(hŒr-assertive.strings”h#Œ0.0_3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ2r-assertive.strings-0.0_3-r40h6115d3f_1003.tar.bz2”h+Œ e96989d82e5e7a80c13e1650e5ff8796”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.strings-0.0_3-r40h6115d3f_1003.tar.bz2”h0Œ@00a21e9163767731412308defc552382d51ec15ea9f08a858b8152532084cd06”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=4.0,<4.1.0a0”Œ	r-stringi”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«â-²-hEJ{F hFˆubh)”}”(hŒr-geoprocessor”h#Œ0.2.0”h%Œr36ha770c72_0”•      h'K hhh(h)hŒ*r-geoprocessor-0.2.0-r36ha770c72_0.tar.bz2”h+Œ 8a1cd965491f379468141becbcaf316e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-geoprocessor-0.2.0-r36ha770c72_0.tar.bz2”h0Œ@19a67cb085208b47520d8cff40318a63a18fe01d77790a90b343e3ef1196ae24”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-gdalutils”Œr-rgdal”Œr-sp”Œr-transformer >=1.6.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡ç;SøhEJNJ hFˆubh)”}”(hŒnss-softokn-freebl-cos7-ppc64le”h#Œ3.44.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ<nss-softokn-freebl-cos7-ppc64le-3.44.0-ha826a6f_1103.tar.bz2”h+Œ 3fe71c58aca1f2c42dfd50869f4c46fc”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-ppc64le-3.44.0-ha826a6f_1103.tar.bz2”h0Œ@375d0a9002773e0c0ffd37a9eddea0468123dfa1cfed81890f576d7328c9dadf”h2NhNh3Œ!nspr-cos7-ppc64le >=4.21.0 *_1103”Œ%nss-util-cos7-ppc64le >=3.44.0 *_1103”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ3I„‹DhEJ6	 hFˆubh)”}”(hŒr-maditr”h#Œ0.8.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-maditr-0.8.3-r41hc72bb7e_0.tar.bz2”h+Œ 41851747283c21319d66f91ffb8c37b9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-maditr-0.8.3-r41hc72bb7e_0.tar.bz2”h0Œ@58742101034c8d427ae7578474af82e130614b65bc7152e8eec777c738f13277”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.12.6”Œr-magrittr >=1.5”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ’';ÉxÕhEJD› hFˆubh)”}”(hŒr-r.huge”h#Œ0.9.0”h%Œr40_1003”h'Mëhhh(h)hŒr-r.huge-0.9.0-r40_1003.tar.bz2”h+Œ 1c2959fb4a790aa2bc38cdad12acc34d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-r.huge-0.9.0-r40_1003.tar.bz2”h0Œ@b29a3c27671a89ba153e4382ae6a91c320182e58dc839a06327db04dc8e0d0df”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-r.methodss3 >=1.7.0”Œr-r.oo >=1.18.0”Œr-r.utils >=1.34.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGA×¬rÓ33hEJÞ hFˆubh)”}”(hŒ
dynophores”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%dynophores-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 71839bbad833e7420acbeb38c34a8307”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/dynophores-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cc7fcf8f8143f394057b90be6be0068216edcab2ad89e100df1bdb891d3d1ccd”h2NhNh3(Œipympl”Œ
ipywidgets”Œjupyter”Œ
jupyterlab”Œmatplotlib-base”Œ
mdanalysis”Œnglview”Œnumpy”Œpandas”Œpython >=3.6”Œrdkit”Œseaborn”t”h9h?h@ŒMIT”hBŒMIT”hDGAØKÖ¯›¶FhEJp.hFˆubh)”}”(hŒr-transformer”h#Œ2.1.5”h%Œr35ha770c72_0”h'K hhh(h)hŒ)r-transformer-2.1.5-r35ha770c72_0.tar.bz2”h+Œ 622ecad5ae01a4f276b0104d3db7b11d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-transformer-2.1.5-r35ha770c72_0.tar.bz2”h0Œ@f97074ffa3b91d313157710aaebecc8efc7617819c4010a8195da0b44dc2f929”h2NhNh3(Œr-abind”Œr-akima”Œr-base >=3.5,<3.6.0a0”Œr-fields”Œ	r-kohonen”Œ
r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡+E\hEJ–º
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r-magrittr”Œ	r-memoise”Œr-purrr”Œr-readr”Œr-rlang”Œr-tibble”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×Hì1hEJíµ& hFˆubh)”}”(hŒr-whoami”h#Œ1.3.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ$r-whoami-1.3.0-r40hc72bb7e_2.tar.bz2”h+Œ 0c342ed5800e1e29829d0c4717ce707d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-whoami-1.3.0-r40hc72bb7e_2.tar.bz2”h0Œ@08fd9265b82ccf9fded75958a53b9b30a9e5cdbc6ab8657f2ea07958976d84aa”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-httr”Œ
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r-minicran”h#Œ0.2.16”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-minicran-0.2.16-r41hc72bb7e_0.tar.bz2”h+Œ cdc49896668f67c80af825615217bbf2”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-minicran-0.2.16-r41hc72bb7e_0.tar.bz2”h0Œ@779ac19ae88223b19169f6693ad5a00c290b5d41fe4bb0fee5fdc175c8ce3ec5”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-httr”Œr-igraph”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ‚DaXhEJÐº hFˆubh)”}”(hŒr-scales”h#Œ1.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-scales-1.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 96555320620b4a81211bef1d355deefe”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-scales-1.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@32f06bc6d81c41de283b6e1209e3d9298743df66ca4ff42952d9a5c1f8998f27”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-farver >=2.0.0”Œ
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flang-meta”h#Œ0.0.1”h%j3G h'K hhh(h)hŒflang-meta-0.0.1-0.tar.bz2”h+Œ d003eb81deea15c67dd808d773cae1c6”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/flang-meta-0.0.1-0.tar.bz2”h0Œ@917244d45c1d21dae1b6323b551e2fdc32cfafc0dbf879df19430169738839b7”h2NhNh3)jy Œflang”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hEMå	hFˆubh)”}”(hŒr-rsnps”h#Œ0.5.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-rsnps-0.5.0.0-r40hc72bb7e_0.tar.bz2”h+Œ 969e4787983d2937cfd32cb4b60e7321”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rsnps-0.5.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@d37c13a82e8ae939334db64c0fbf6554a2741d4db8ba1395316c5073d201caeb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.5.2”Œr-data.table”Œr-httr”Œ
r-jsonlite”Œr-plyr”Œ	r-rjsonio”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ} »û•hEJ+Ü hFˆubh)”}”(hŒsunkit-image”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'sunkit-image-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 37f2ccbbe90e2d275229d13667a945f6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/sunkit-image-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1f67a55327af642154ce5df68ce9293c046bbe9d7f7240ec524645d42bfb2369”h2NhNh3Œpython >=3.7”Œscikit-image >=0.18.0”Œsunpy >=3.0.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ£c†jÐåhEJéùX hFˆubh)”}”(hŒjupyterlab-fonts”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+jupyterlab-fonts-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ fc28d40ad8ffa770a870d3c30eac09f2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-fonts-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@01dd7dcab08ffd64b19f1a32ccd4d9c27a834f73134b3afc66a6e32494be54cd”h2NhNh3Œjupyterlab 3.*”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕ¾õi™šhEJ€ hFˆubh)”}”(hŒnumconv”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"numconv-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 74371efbd7f44980152c2b4cb84c5bca”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/numconv-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@58c92678fffd67db4885deabb9de8ca84921e475917d7e4103611d1cf3e5f55e”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ>tIG®hEM	,hFˆubh)”}”(hŒflake8-continuation”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.flake8-continuation-1.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ f1fca0d20a05b4e8db08fe52ac205f16”h.Œ\https://conda.anaconda.org/conda-forge/noarch/flake8-continuation-1.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d8aae540448eaccc788b817c093f4bb46c43eabf401612a8e5728be813290c05”h2NhNh3(Œflake8”Œpycodestyle”Œpython >=3.6”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ2DÖÎÙhEMh/hFˆubh)”}”(hŒ
jsonlookup”h#Œ0.9.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ%jsonlookup-0.9.0-pyhd3deb0d_0.tar.bz2”h+Œ 55e36dfa21977568c9faf3416ff40ff6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jsonlookup-0.9.0-pyhd3deb0d_0.tar.bz2”h0Œ@b4db32d897fb2f6c70adaf115df62cea9e50fac352c820432cfeb041438ba3fd”h2NhNh3Œdjango”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×æ¶@õVhEM›hFˆubh)”}”(hŒfortran-binary”h#Œ1.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)fortran-binary-1.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 5df1ee1138bd4c86dc2b3f5e988bcaf2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fortran-binary-1.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@0844c6c6947b48be989742d3570f8d542fd4b83805fc34bac6e1989366081b91”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒLGPL-2.1-or-later”hDGAØ!SDjhEMChFˆubh)”}”(hŒr-mgm”h#Œ1.2_13”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-mgm-1.2_13-r41hc72bb7e_1.tar.bz2”h+Œ a21691e5aba10e277a47c8063469ecdb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mgm-1.2_13-r41hc72bb7e_1.tar.bz2”h0Œ@bdc6c8ffeafcb1c3bb4d876d98a72411f21afd68886626807774b1fff636bc60”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glmnet”Œr-gtools”Œr-hmisc”Œr-qgraph”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒéÍžE¢hEJ§s hFˆubh)”}”(hŒlibxtst-devel-cos7-x86_64”h#Œ1.2.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libxtst-devel-cos7-x86_64-1.2.3-hdf0574f_1102.tar.bz2”h+Œ 8f91773a16651202513d773828db6aaa”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos7-x86_64-1.2.3-hdf0574f_1102.tar.bz2”h0Œ@413d36bf17ba41766b47644eaca75c0c1b89dab984dc8710134dc9a1044ec8c7”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´×âŸ¾hEMƒ.hFˆubh)”}”(hŒlibxcursor-devel-cos7-aarch64”h#Œ1.1.15”h%Œha826a6f_1103”h'MOhhh(h)hŒ:libxcursor-devel-cos7-aarch64-1.1.15-ha826a6f_1103.tar.bz2”h+Œ 09879d90ceec4b1cba302c17ecebf7ba”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos7-aarch64-1.1.15-ha826a6f_1103.tar.bz2”h0Œ@36ee942cf4cb931468f6173519c4db84f5819f3629beb3e6ed76e18cee4c92b7”h2NhNh3Œ'libxcursor-cos7-aarch64 ==1.1.15 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3ÏÒòhEM}9hFˆubh)”}”(hŒ
r-emulator”h#Œ1.2_21”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-emulator-1.2_21-r40hc72bb7e_0.tar.bz2”h+Œ 5f6779d22563676375ebb94bcd84bd96”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-emulator-1.2_21-r40hc72bb7e_0.tar.bz2”h0Œ@925489d3c898eed9c940929df3cbf68a18a5ca8b46fcfaf89dd0403508c42292”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-mvtnorm”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØŽ¾{öùÛhEJ,l hFˆubh)”}”(hŒgenestboost”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&genestboost-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 81d843f941fb7fad6586db4e20d9cd31”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/genestboost-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f0281bbff6179eb52a6a8af3127ff89261cec58a2051a76c7b2feff95362433a”h2NhNh3Œnumpy 1.*,>=1.18.5”Œpython >=3.7,<3.10”Œscipy 1.*,>=1.4.1”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ-º~6E¢hEM‘…hFˆubh)”}”(hŒr-lsr”h#Œ0.5.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-lsr-0.5.2-r41hc72bb7e_0.tar.bz2”h+Œ c1a39adea52070895bca33f64456e70c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lsr-0.5.2-r41hc72bb7e_0.tar.bz2”h0Œ@59b1b9ad3b069d2e1cc822c9bb8b47e2b7b08b36fbb595315d35745efc12f9a0”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØiÝ…€£×hEJTU hFˆubh)”}”(hŒr-downscaler.keras”h#Œ1.0.0”h%Œr36ha770c72_0”h'K hhh(h)hŒ.r-downscaler.keras-1.0.0-r36ha770c72_0.tar.bz2”h+Œ e45c6d303223bd0ef71820d887991470”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-downscaler.keras-1.0.0-r36ha770c72_0.tar.bz2”h0Œ@58ee18cb2a1186dc5fa58d63cc64d4c5b7eb0aea00ea04697749eb4ca44d5a37”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-downscaler >=3.3.2”Œr-keras >=2.2.2”Œ
r-magrittr”Œr-mass”Œr-tensorflow >=2.0.0”Œr-transformer >=2.1.0”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢J~·\)hEJF hFˆubh)”}”(hŒ
matrix-py3”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%matrix-py3-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 5df5945a2577745b86146c3d98a121be”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/matrix-py3-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@2ae3c079cb3a77effccab6fa8c6b7f52ffb69b38feb680b3586fcae1857f8db7”h2NhNh3Œpebble”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØb®ã¾whEMV&hFˆubh)”}”(hŒ
cwl_runner”h#Œ1.0”h%Œpy_0”h'K hhh(h)hŒcwl_runner-1.0-py_0.tar.bz2”h+Œ 5c031bb51bed57b3ab3b2c0fdb7c10a9”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/cwl_runner-1.0-py_0.tar.bz2”h0Œ@f03eeb8fab55e7dcf9e94b07903c1a271823e9ef35109c0795bebb0b99d1d9c0”h2NhNh3Œcwltool”Œpython”†”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×ÀÕún˜hEM¬%hFˆubh)”}”(hŒr-stratifyr”h#Œ1.0_3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-stratifyr-1.0_3-r40hc72bb7e_0.tar.bz2”h+Œ c1b894e45ab7a5eea0a61dfbea73be8c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-stratifyr-1.0_3-r40hc72bb7e_0.tar.bz2”h0Œ@0eb7a65216b59c22a11414c051b376bac02960b52def794dfef8f0715943147c”h2NhNh3(Œr-actuar”Œr-base >=4.0,<4.1.0a0”Œr-fitdistrplus”Œr-mc2d”Œ
r-triangle”Œr-zipfr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØs8·l‹hEJº† hFˆubh)”}”(hŒtextual”h#Œ0.1.18”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#textual-0.1.18-pyhd8ed1ab_1.tar.bz2”h+Œ 984bef309cb886d41a241eea128fadd6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/textual-0.1.18-pyhd8ed1ab_1.tar.bz2”h0Œ@37922874bf48423efacff5c827ea0bb1f4652c25fcb456eb4088e0360d200ab6”h2NhNh3Œpython >=3.7,<4”Œrich >=12.3,<13”Œtyping-extensions >=4,<5”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ¢5óÕÂhEJå hFˆubh)”}”(hŒlibudev-cos6-x86_64”h#Œ147”h%Œh1795305_101”h'Kehhh(h)hŒ,libudev-cos6-x86_64-147-h1795305_101.tar.bz2”h+Œ 12ea631602350abfa9426d95d3449647”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libudev-cos6-x86_64-147-h1795305_101.tar.bz2”h0Œ@db074138fd9df47695fb172eb5c910e74df1f0ced470274d290f60cce054500d”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÄÇté&éhEMÜŒhFˆubh)”}”(hŒr-plot3d”h#Œ1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-plot3d-1.4-r41hc72bb7e_0.tar.bz2”h+Œ 046e5e735d9631eb8555374f23c1c6c5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-plot3d-1.4-r41hc72bb7e_0.tar.bz2”h0Œ@253f9b5d35243605554e80ca9d1e9ec51c09891c3dc4d36a544b0248ce02b89a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-misc3d”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+6pƒhEJêH+ hFˆubh)”}”(hŒlibsm-devel-cos7-x86_64”h#Œ1.2.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libsm-devel-cos7-x86_64-1.2.2-h9b0a68f_1105.tar.bz2”h+Œ 1b552293f9adf5f4883fb22c5a0f3496”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-x86_64-1.2.2-h9b0a68f_1105.tar.bz2”h0Œ@9bbe734617dc9dc80ca985fd8228e2851d1bd7cce0fdcd8432daaa8fca1105f1”h2NhNh3Œ libsm-cos7-x86_64 ==1.2.2 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@lWœZhEMr#hFˆubh)”}”(hŒibacm-cos7-aarch64”h#Œ22.4”h%Œha826a6f_103”h'Kghhh(h)hŒ,ibacm-cos7-aarch64-22.4-ha826a6f_103.tar.bz2”h+Œ 6125a71030203341f4069203aefde4fa”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-aarch64-22.4-ha826a6f_103.tar.bz2”h0Œ@b9430fcc38f16ce68080d472b7de236031ac30d573c7751f2a560dfd2b53adef”h2NhNh3Œ#libibumad-cos7-aarch64 ==22.4 *_103”Œ$libibverbs-cos7-aarch64 ==22.4 *_103”Œ#rdma-core-cos7-aarch64 ==22.4 *_103”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,ÐÁXhEJrn hFˆubh)”}”(hŒ	r-superpc”h#Œ1.12”h%Œr40h142f84f_0”h'K hhh(h)hŒ$r-superpc-1.12-r40h142f84f_0.tar.bz2”h+Œ 6ed169beac84f3fb772b283d3ef94e16”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-superpc-1.12-r40h142f84f_0.tar.bz2”h0Œ@36e709a1245c187bda24cdfcc2a0bc07c567127e00571e3a88409427fc24692a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-survival”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGA×ã§/¶{hEJ¨ hFˆubh)”}”(hŒmuler”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ muler-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 79f77a4e9a224814dde233dd51c57340”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/muler-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@f28e3cf2de91b31cd750d35245e08866540932ce2998b6a56a63e903ab574a96”h2NhNh3(Œastropy >=4.1”Œ	celerite2”Œh5py”Œimportlib_resources”Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.8”Œscipy”Œspecutils >=1.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¨™$tí‘hEJbFd hFˆubh)”}”(hŒautopep8”h#Œ1.5.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#autopep8-1.5.7-pyhd8ed1ab_0.tar.bz2”h+Œ 522a260b2ee249798330a9e5bb66ca27”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/autopep8-1.5.7-pyhd8ed1ab_0.tar.bz2”h0Œ@4a3a5038e8cf23fb1d4a4bc95e9c1c968a9db37cd837a9bcc1d7c567bf14eb69”h2NhNh3Œpycodestyle >=2.7”Œpython >=3.6”Œtoml”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ"ð897LhEMY£hFˆubh)”}”(hŒ
r-tidybins”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-tidybins-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 035045033e96b3043d5ea68fa63cf435”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidybins-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@dccdf63c3e209886b3e46c37f93489a5eee300383425f0edb4fdc84c4f2b14c2”h2NhNh3(Œr-badger”Œr-base >=4.0,<4.1.0a0”Œ
r-clusterr”Œr-dplyr”Œr-framecleaner”Œ	r-ggplot2”Œ	r-janitor”Œr-lubridate”Œ
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r-convertr”Œ
r-magrittr”Œr-transformer >=1.5.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡Ö•ð ÅhEJk’ hFˆubh)”}”(hŒtypes-jinja2”h#Œ2.11.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(types-jinja2-2.11.9-pyhd8ed1ab_0.tar.bz2”h+Œ 694c52995725a02f5107790da68e6d32”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/types-jinja2-2.11.9-pyhd8ed1ab_0.tar.bz2”h0Œ@9aa780baaccab1d00744232e4a18bfa589f8b8220a0f285a07bbf25d3fd399dc”h2NhNh3Œpython >=3.6”Œtypes-markupsafe”†”h9h?h@ŒApache-2.0 AND MIT”hDGAØh*ƒÆ¨hEM¸WhFˆubh)”}”(hŒde-tagesschau”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(de-tagesschau-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ f24b64be9074ac73832f8af10808c339”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/de-tagesschau-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@95473b0e88a0838be54fc53ac2409ca33ee8c22a129597e911b585a1550fd883”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œurllib3 >=1.25.3”‡”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×ûv·;dhEJN¢ hFˆubh)”}”(hŒfaker-vehicle”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(faker-vehicle-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ fb665e225674d695bde042964ad18977”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/faker-vehicle-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@611deb1e629ff3c58d2d3fb28ad8f0b7065bef5d116a90e7501f554dcbce3910”h2NhNh3Œfaker”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÔ¬¡í‘hEJ%p hFˆubh)”}”(hŒpango-devel-cos7-ppc64le”h#Œ1.42.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5pango-devel-cos7-ppc64le-1.42.4-h9d98e8f_1104.tar.bz2”h+Œ 4400d07a7af5e20314f72edc857282e3”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-ppc64le-1.42.4-h9d98e8f_1104.tar.bz2”h0Œ@4d820de729cc01aabe2ee9293c2ca58e6a41dff21d9a69e0cba4de3522cc74e3”h2NhNh3(Œ)cairo-devel-cos7-ppc64le >=1.12.10 *_1104”Œ.fontconfig-devel-cos7-ppc64le >=2.11.91 *_1104”Œ*freetype-devel-cos7-ppc64le >=2.1.5 *_1104”Œ(glib2-devel-cos7-ppc64le >=2.56.1 *_1104”Œ"pango-cos7-ppc64le ==1.42.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É€‰hshEJ}“ hFˆubh)”}”(hŒatk-cos7-ppc64le”h#Œ2.28.1”h%Œha826a6f_103”h'Kghhh(h)hŒ,atk-cos7-ppc64le-2.28.1-ha826a6f_103.tar.bz2”h+Œ 3514a09bd5d5771b8122d2d12549e166”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos7-ppc64le-2.28.1-ha826a6f_103.tar.bz2”h0Œ@d8d66e22b353a632738c1acad4eaf433df718cca94d2ee757c9e04b14a530341”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/Eð ÅhEJSW hFˆubh)”}”(hŒgmso”h#Œ0.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒgmso-0.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ c3154832de44ba9c4d45a006e6e4b788”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/gmso-0.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@032f5f25a940e9ebfd339979d5fcbdbfdb5ff7a2c740a5b4fb5c543bc8c1ec08”h2NhNh3(Œboltons”Œele >=0.2.0”Œforcefield-utilities >=0.2.1”Œfoyer >=0.11.3”Œlxml”Œnetworkx”Œnumpy”Œpydantic >1.8”Œpython >=3.8”Œ
setuptools”Œsympy”Œunyt”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÈŽŸ‚~úhEJÄÓ hFˆubh)”}”(hŒsmokesignal”h#Œ0.7.0”h%Œpy_0”h'K hhh(h)hŒsmokesignal-0.7.0-py_0.tar.bz2”h+Œ 44d76828da55894308819b1cb6d59275”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/smokesignal-0.7.0-py_0.tar.bz2”h0Œ@d94e8909f1f87169ba1760fe5ef0e106da622168eda1db7c3d8792d5a173d3f5”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hEM\hFˆubh)”}”(hŒr-scatterd3”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-scatterd3-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 967d3d6e53d91601903a973aca3b8fd0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-scatterd3-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@3f2fb2c4ee25a1f2f97b09145b7d883dca9c2f00a95470e36bfa5555218498e1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œ	r-ellipse”Œr-htmlwidgets”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØWcXÈ ÅhEJy hFˆubh)”}”(hŒr-repmis”h#Œ0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-repmis-0.5-r41hc72bb7e_1.tar.bz2”h+Œ b46435ece088a58d97f5f862782fa572”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-repmis-0.5-r41hc72bb7e_1.tar.bz2”h0Œ@1a9d88187c504d13769ce0e6c8d4315cff9f4a8b6639642980a730d0e33f4265”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-digest”Œr-httr”Œr-plyr”Œ	r-r.cache”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+–áÛ#hEJ÷ hFˆubh)”}”(hŒr-gfa”h#Œ1.0.3”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ$r-gfa-1.0.3-r40hc72bb7e_1002.tar.bz2”h+Œ c37bb7a345b83787abcd5fc0aaf1a431”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gfa-1.0.3-r40hc72bb7e_1002.tar.bz2”h0Œ@b91103db927d0450b97bfe88ed8e4e895ee597e1fab62d07f62339bc8140a360”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+'Mm/hEJgy hFˆubh)”}”(hŒlibice-devel-cos6-x86_64”h#Œ1.0.6”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libice-devel-cos6-x86_64-1.0.6-h9b0a68f_1105.tar.bz2”h+Œ 5a086994f96921f90707ba91763177e1”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos6-x86_64-1.0.6-h9b0a68f_1105.tar.bz2”h0Œ@38b153998f2dd5c8bac2a477905a09974387a8e4a8cfad08d89f956f513e0c20”h2NhNh3Œ!libice-cos6-x86_64 ==1.0.6 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[¼ÀbhEMÑ/hFˆubh)”}”(hŒlibselinux-cos7-x86_64”h#Œ2.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libselinux-cos7-x86_64-2.5-h9b0a68f_1105.tar.bz2”h+Œ f4b76c404e90760f868d73f06e437339”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-x86_64-2.5-h9b0a68f_1105.tar.bz2”h0Œ@aefb329f1092bf457c2e51d3ee2525f8dc2ac5bc159a9b3203af4510f0b7ffb8”h2NhNh3Œ!libsepol-cos7-x86_64 >=2.5 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@mÂó…hEJë} hFˆubh)”}”(hŒr-xopen”h#Œ1.0.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-xopen-1.0.0-r36h6115d3f_1002.tar.bz2”h+Œ 0b66edabf0e4f71c7d0f43158bd37090”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xopen-1.0.0-r36h6115d3f_1002.tar.bz2”h0Œ@cc9f698a9d2acc8df8bde32558e6400d4cc8b60321e5e8ab7db2b988b768e1cf”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-processx”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[èf å`hEMxphFˆubh)”}”(hŒ
mplleaflet”h#Œ0.0.5”h%Œpy_4”h'Khhh(h)hŒmplleaflet-0.0.5-py_4.tar.bz2”h+Œ a60a2f6fb2ffe4f78d806e227a1b3fbe”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/mplleaflet-0.0.5-py_4.tar.bz2”h0Œ@79ac0208841c35ea73f2645032524c81b174c4c0ff8f58ec838c534075ddad01”h2NhNh3(Œjinja2”Œmatplotlib-base”Œpython”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‘k+×
hEMdhFˆubh)”}”(hŒ	r-pastecs”h#Œ1.3.21”h%Œr36h6115d3f_2”h'Khhh(h)hŒ&r-pastecs-1.3.21-r36h6115d3f_2.tar.bz2”h+Œ 2484a26c873b2c16d7b55278693747cb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pastecs-1.3.21-r36h6115d3f_2.tar.bz2”h0Œ@978e50b8dfba14d473a2231f6e713136a2173ea6a66e5228211c986fac335a57”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-boot”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬š7@´9hEJrŸ hFˆubh)”}”(hŒ	r-cowplot”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-cowplot-1.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 901857e88d7584140f64144842b8a60d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cowplot-1.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@5d99e8c4a6a0181a9fb47d5460239a5aa6f33a506f6d1762db48167c9afb6f93”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >2.2.1”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ª¨ðbhEJ7k hFˆubh)”}”(hŒparsley”h#Œ1.3”h%Œpy_0”h'K hhh(h)hŒparsley-1.3-py_0.tar.bz2”h+Œ 713345a6566aea43339784ce0257a2ef”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/parsley-1.3-py_0.tar.bz2”h0Œ@6ef139983f5c95ce69a14aa0cf824aa102ce92fcce1d1b4313b314f0fe594c6e”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×˜c9™šhEM´öhFˆubh)”}”(hŒr-expsmooth”h#Œ2.3”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ(r-expsmooth-2.3-r36h6115d3f_1001.tar.bz2”h+Œ 146b01039e61477c771f8bc60b02f576”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-expsmooth-2.3-r36h6115d3f_1001.tar.bz2”h0Œ@97de7e779783f3d46e4e730f2926e7447f1d57d414d39ea2a3729f757d618cf1”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-forecast”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L€z"\hEJL¦ hFˆubh)”}”(hŒmesa-libgbm-cos6-x86_64”h#Œ11.0.7”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4mesa-libgbm-cos6-x86_64-11.0.7-h9b0a68f_1105.tar.bz2”h+Œ 4a203298022a4527db9c4dfc9d387d99”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos6-x86_64-11.0.7-h9b0a68f_1105.tar.bz2”h0Œ@805498ca497419512c255dca6ff0f0c7410be68957392292173a102d51083961”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@X¯;dhEM†hFˆubh)”}”(hŒrb-jekyll-theme-slate”h#Œ0.1.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ.rb-jekyll-theme-slate-0.1.1-hc42de5b_0.tar.bz2”h+Œ a98f2a6eed1d8277a6aa54f2d177ba64”h.Œ\https://conda.anaconda.org/conda-forge/noarch/rb-jekyll-theme-slate-0.1.1-hc42de5b_0.tar.bz2”h0Œ@7e713a7295ccadc6af66b6bf350f3900be9b0926df7951cdc3bc2991ac2e2765”h2NhNh3Œrb-jekyll >=3.5,<4.0”Œrb-jekyll-seo-tag >=2.0,<3”Œruby >=2.6.3,<2.7.0a0”‡”h9hºh@ŒCC0-1.0”hDGA×[^,„Ý/hEMÊàhFˆubh)”}”(hŒrb-ethon”h#Œ0.12.0”h%Œ
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sqlalchemy”Œwerkzeug”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ®Ðÿù‰7hEM…ìhFˆubh)”}”(hŒ	r-lsmeans”h#Œ2.30_0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ&r-lsmeans-2.30_0-r40hc72bb7e_2.tar.bz2”h+Œ eaaec36fb2f856e50aa8efd9376c0cca”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lsmeans-2.30_0-r40hc72bb7e_2.tar.bz2”h0Œ@9b8c2f54524f2b9363a426b43620b3fdf66fd2147a0521d9f4e05fa18e5bf39c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-emmeans >=1.3”†”h9hºh@ŒGPL-2.0-only OR GPL-3.0-only”hBŒGPL3”hDGAØ+"â$záhEMHühFˆubh)”}”(hŒlibxscrnsaver-cos6-x86_64”h#Œ1.2.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libxscrnsaver-cos6-x86_64-1.2.2-ha826a6f_1103.tar.bz2”h+Œ 96f8130618b43438ab82cdadcf28fdc7”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos6-x86_64-1.2.2-ha826a6f_1103.tar.bz2”h0Œ@0b352d940dce2cbd8706480e3b12756199c45c235349525559d6f02047244e04”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/¨öéyhEMHhFˆubh)”}”(hŒr-cgdsr”h#Œ1.3.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ#r-cgdsr-1.3.0-r40hc72bb7e_2.tar.bz2”h+Œ 1ee2cdde7edaf44fafbedf7742a8da66”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cgdsr-1.3.0-r40hc72bb7e_2.tar.bz2”h0Œ@ca617f6057af78454a0f9cc497df30b3966b2d64388fea7a3ad599b4ad6c0630”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-httr”Œr-r.methodss3”Œr-r.oo”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ+0‰H ÅhEJg hFˆubh)”}”(hŒlibxft-cos7-aarch64”h#Œ2.3.2”h%Œha826a6f_103”h'Kghhh(h)hŒ.libxft-cos7-aarch64-2.3.2-ha826a6f_103.tar.bz2”h+Œ 5a2d3b1970e2594a0099b5bc263152e2”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-aarch64-2.3.2-ha826a6f_103.tar.bz2”h0Œ@ff8559eade1bc3f75f6294f81f8f8bfc4bb979bd5d32099054e015fb79ab743a”h2NhNh3Œ#fontconfig-cos7-aarch64 >=2.2 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1b›¦hEMsçhFˆubh)”}”(hŒlibxft-cos7-aarch64”h#Œ2.3.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.libxft-cos7-aarch64-2.3.2-h9d98e8f_104.tar.bz2”h+Œ 3e66bb0a5cfaeba8a8293b8265473319”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-aarch64-2.3.2-h9d98e8f_104.tar.bz2”h0Œ@49c6ebf5bbb4ea2836516781075f397a0bff8fc0138ac44e49fd1dbeb550466b”h2NhNh3Œ#fontconfig-cos7-aarch64 >=2.2 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|úÈÔþhEM^çhFˆubh)”}”(hŒ
r-smoothie”h#Œ1.0_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-smoothie-1.0_3-r41hc72bb7e_0.tar.bz2”h+Œ 733ab4f00c3a599d8ee77e1ef1bccff5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-smoothie-1.0_3-r41hc72bb7e_0.tar.bz2”h0Œ@462eeb91826f58ed7bbded12cd5b4283f2e6694298f8dc59a19f9e16ad8b3cfe”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ-.Ý³¥ãhEJo, hFˆubh)”}”(hŒ	skinnywms”h#Œ0.5.2”h%Œpy_0”h'K hhh(h)hŒskinnywms-0.5.2-py_0.tar.bz2”h+Œ e9655f3ead76d8b36a012a1c5eb2c871”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/skinnywms-0.5.2-py_0.tar.bz2”h0Œ@e2cf122c08ce40a826c0ce6be1cddf746eae162390fb8faf53d1eb2a609fd76a”h2NhNh3(Œflask”Œmagics”Œpython >3.5”Œxarray >=0.12.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×¡‚ß*ÀƒhEJ€œ hFˆubh)”}”(hŒ xorg-x11-proto-devel-cos6-x86_64”h#Œ7.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ:xorg-x11-proto-devel-cos6-x86_64-7.7-ha826a6f_1103.tar.bz2”h+Œ ac86cbdc5b89ea9ae82274acfe41c686”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos6-x86_64-7.7-ha826a6f_1103.tar.bz2”h0Œ@19c651f88a1783c02ab93fb25ed642c1bdd1e82509d7ed3cca73981e202853ee”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/T¤ZhEJñ hFˆubh)”}”(hŒmms-python-client”h#Œ3.4.2.1”h%Œpy_0”h'K hhh(h)hŒ&mms-python-client-3.4.2.1-py_0.tar.bz2”h+Œ d60efba53ec313b69a764d2a22ec742c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/mms-python-client-3.4.2.1-py_0.tar.bz2”h0Œ@8cfa19002b41ec833c5f63336ece284360f26eb607d59d250acf5aaa5901725e”h2NhNh3(Œcertifi”Œpython”Œpython-dateutil”Œ
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r-pheatmap”Œr-princurve”Œr-randomforest”Œr-rcolorbrewer”Œr-rtsne”Œr-som”Œr-umap”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ°Õ^5hEJÀ. hFˆubh)”}”(hŒr-bsplus”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-bsplus-0.1.4-r41hc72bb7e_0.tar.bz2”h+Œ c28e9f261215e793cb0852272ae61e5d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bsplus-0.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@ff0807b38f16b90237a03548177804606c89a34425ace8bca64d6d63996364ab”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-htmltools”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rmarkdown”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÝ†{hEJÃ¯ hFˆubh)”}”(hŒ	r-etrunct”h#Œ0.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ&r-etrunct-0.1-r42hc72bb7e_1004.tar.bz2”h+Œ 1b05fb4d3f3c8b8882e8168d6a7b6dd9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-etrunct-0.1-r42hc72bb7e_1004.tar.bz2”h0Œ@f88070780149e8616d04b62203bf9865472dacdae7a4b61411ceb353c37f9e56”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ±g²hEMIhFˆubh)”}”(hŒr-showtextdb”h#Œ3.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-showtextdb-3.0-r36h6115d3f_0.tar.bz2”h+Œ 49f055c046b602bb0329f8bb3ded9a92”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-showtextdb-3.0-r36h6115d3f_0.tar.bz2”h0Œ@d889aaacc8c115daa9d409604009db05eb22d5efa823b433c20c7fe60e875db9”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-sysfonts >=0.7.1”†”h9hºh@ŒApache (>= 2.0)”hBŒAPACHE”hDGA×¶-Oß;hEJ³õ hFˆubh)”}”(hŒpkgconfig-cos6-x86_64”h#Œ0.23”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0pkgconfig-cos6-x86_64-0.23-h9d98e8f_1104.tar.bz2”h+Œ 8b1f67f943ad3147cfd08a5f45f763c5”h.Œ^https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos6-x86_64-0.23-h9d98e8f_1104.tar.bz2”h0Œ@410f8824aa0d3279e3ef6a4bf4ccb1fe9b9f398da2a5138a211b13cf88f76f82”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Éxî²ÐåhEJ2" hFˆubh)”}”(hŒpantable”h#Œ0.14.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pantable-0.14.2-pyhd8ed1ab_0.tar.bz2”h+Œ 661b762200262bb273e5ac8ebcf2f8ff”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pantable-0.14.2-pyhd8ed1ab_0.tar.bz2”h0Œ@70abf3bc052b87171a12aca48162594ee61a1451ae6279b71cb04a80c73524a0”h2NhNh3(Œ backports.cached-property >=1,<2”Œnumpy >=1.16,<2.0”Œpanflute >=2.1.3,<3.0.0”Œpython >=3.7”Œpyyaml >=5,<7”t”h6(Œyamlloader >=1,<2”Œcoloredlogs >=14,<16”Œtabulate >=0.8,<0.9”Œpandoc >=2.11.2,<2.17”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØi¨È`  hEMv‘hFˆubh)”}”(hŒr-bibitr”h#Œ0.3.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-bibitr-0.3.1-r35h6115d3f_0.tar.bz2”h+Œ cfdaaf0e775872b0e38b0f15f60bec0b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bibitr-0.3.1-r35h6115d3f_0.tar.bz2”h0Œ@bd7b22a585fdc283bdff90bf4f6238d06c78419c299b96d8b3c3b28732d094ed”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-biclust”Œ	r-cluster”Œr-dendextend”Œ	r-foreign”Œ	r-lattice”Œr-randomcolor”Œ	r-viridis”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×S¦,PhEJNB hFˆubh)”}”(hŒr-credentials”h#Œ1.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-credentials-1.3.2-r41hc72bb7e_0.tar.bz2”h+Œ a8689f6181290bff1dbae69048db6b34”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-credentials-1.3.2-r41hc72bb7e_0.tar.bz2”h0Œ@5db4a18799fde53400a52a8a9bb04e86cbd44628d796f201cade95e677511a18”h2NhNh3(Œ	r-askpass”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œ
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bottleneck”Œcftime”Œdask”Œnumba >=0.52”Œnumpy”Œproperscoring”Œpython >=3.7”Œscikit-learn”Œscipy”Œxarray >=0.16.1”Œxhistogram >=0.3.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØXGÊÁG®hEM¨ähFˆubh)”}”(hŒ
r-sparsepp”h#Œ1.22”h%Œr41hd8ed1ab_2004”h'MÔhhh(h)hŒ(r-sparsepp-1.22-r41hd8ed1ab_2004.tar.bz2”h+Œ 0b58656e078f0504d8bb54f215b18f6b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepp-1.22-r41hd8ed1ab_2004.tar.bz2”h0Œ@d0d9f3f8daa02ec164d4ecfe48b602cf07db5cd4daae0ba1c75f0111d5006c07”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAØÒŽíãThEJOÖ hFˆubh)”}”(hŒr-xlconnectjars”h#Œ0.2_15”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ,r-xlconnectjars-0.2_15-r41hc72bb7e_3.tar.bz2”h+Œ f761c7cbf7535c26488d7d2e79b462ce”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-xlconnectjars-0.2_15-r41hc72bb7e_3.tar.bz2”h0Œ@79baeb8a698cee5923c36fb74249f6b091947062806d86d7fc9fa205c2cdde67”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+¶’¬hEJ@1Þ hFˆube(h)”}”(hŒcucumber-tag-expressions”h#Œ4.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3cucumber-tag-expressions-4.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ bdfd97a7db5b745701fd6f5da549b94f”h.Œahttps://conda.anaconda.org/conda-forge/noarch/cucumber-tag-expressions-4.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6fbcf2ba0ba87c18783cfe8663bd0696993490d826d76fbf1365edd13fac87e2”h2NhNh3Œinvoke”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØX+½sdZhEMÈ,hFˆubh)”}”(hŒ
r-subspace”h#Œ1.0.4”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-subspace-1.0.4-r40h6115d3f_1.tar.bz2”h+Œ 2aea93b5a663e04ea4fb5999c56d18f9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-subspace-1.0.4-r40h6115d3f_1.tar.bz2”h0Œ@7fa7fddebfcebd9783e86c778538b6d517742f2d1a71ee730e9c145e4ca881e5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-colorspace >=1.0”Œr-ggvis >=0.4.2”Œr-rjava >=0.9”Œr-stringr >=1.0.0”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×À÷h‚°!hEJˆqA hFˆubh)”}”(hŒr-bmp”h#Œ0.3”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ"r-bmp-0.3-r41hc72bb7e_1004.tar.bz2”h+Œ 193973172dc896cb36d045811390e2c9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bmp-0.3-r41hc72bb7e_1004.tar.bz2”h0Œ@ee59a2d8443eb1b8236e3cb43d7dc7b670440273e29c41c51c094ede08f53db1”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ9žÅãThEJ/Ñ hFˆubh)”}”(hŒmanhole”h#Œ1.8.0”h%Œpyhd8ed1ab_4”h'Khhh(h)hŒ"manhole-1.8.0-pyhd8ed1ab_4.tar.bz2”h+Œ 4f9f59b1cd9330db0b3f44c3efaa7382”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/manhole-1.8.0-pyhd8ed1ab_4.tar.bz2”h0Œ@53ec806c80b7c4fe3bc26460d7068d28f2def7385bf2a934e895fd25474d1f5d”h2NhNh3Œ__unix”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØØtjÁ©ühEMVIhFˆubh)”}”(hŒr-jquerylib”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-jquerylib-0.1.4-r41hc72bb7e_0.tar.bz2”h+Œ f9980aa441835740ddb0f4cd684d4a38”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-jquerylib-0.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@fe82454bb132f42a358bbe9b0ff1aaf2836cecdc0c85ff59eefb0dcfbf95c857”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmltools”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ*Ô@~ÙhEJ<» hFˆubh)”}”(hŒcachelib”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#cachelib-0.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 233ed566628f2a28242d0bb57e99a356”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cachelib-0.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@349848f0ae2032aff0a6bd2cdb69fe361c1022c6614bdcffa596db1e253ab0b4”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ®¹SÿPhEMK@hFˆubh)”}”(hŒlibxext-devel-cos7-x86_64”h#Œ1.3.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libxext-devel-cos7-x86_64-1.3.3-h9b0a68f_1105.tar.bz2”h+Œ a2d116882e0657b3b1b157545f710831”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-x86_64-1.3.3-h9b0a68f_1105.tar.bz2”h0Œ@6bff029bdf22852a991fa40a4678cf9e76b406ebace76322381b2f58a0371a5e”h2NhNh3Œ"libxext-cos7-x86_64 ==1.3.3 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@p|KçmhEJŸ hFˆubh)”}”(hŒ
r-beeswarm”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-beeswarm-0.4.0-r41hc72bb7e_0.tar.bz2”h+Œ dc97e8b991561344ab3782e808f240a9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-beeswarm-0.4.0-r41hc72bb7e_0.tar.bz2”h0Œ@e72e9ed142c58bb0f6e8e2f23ce4dc40c8e85cb143d3c597fa3f9208892e53d5”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ-³J®hEJÕ[ hFˆubh)”}”(hŒr-aws.s3”h#Œ0.3.22”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-aws.s3-0.3.22-r42hc72bb7e_1.tar.bz2”h+Œ 0fd87bfbf55e76f4f5b8dc5c17ac3018”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-aws.s3-0.3.22-r42hc72bb7e_1.tar.bz2”h0Œ@c7ed7a5ad266dbbc793836e899002651baa1b21aba790cd28a00c911cb315e18”h2NhNh3(Œr-aws.signature >=0.3.7”Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-curl”Œr-digest”Œr-httr”Œr-xml2 >1.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¿]ó¶hEJÈa hFˆubh)”}”(hŒavro-json-serializer”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/avro-json-serializer-1.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 27e5fa2c837128f2cab88b23c713df72”h.Œ]https://conda.anaconda.org/conda-forge/noarch/avro-json-serializer-1.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@f1b84587d978d39b2fed56bd4ab6835c45e4266b7b5eb25c862f353653bad04f”h2NhNh3Œavro-python3 >=1.8.2,<2”Œpython >=3.6”Œsix”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÀã´
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brewer2mpl”h#Œ1.4.1”h%Œpy_3”h'Khhh(h)hŒbrewer2mpl-1.4.1-py_3.tar.bz2”h+Œ 0209410290c6c4e1bfcd4c3bc68f09d0”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/brewer2mpl-1.4.1-py_3.tar.bz2”h0Œ@6ffd6688447ae6a524343df07d06b9bf34c4adc6d3e92d86bc1d3f3737199c75”h2NhNh3Œpython”Œ
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setuptools”Œ
sqlalchemy”t”h9h?h@Œ
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hypothesis”Œnetworkx ~=2.0”Œpbr”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØyÉ¤‰xÕhEMT=hFˆubh)”}”(hŒr-leaflet.providers”h#Œ1.9.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ/r-leaflet.providers-1.9.0-r36h6115d3f_1.tar.bz2”h+Œ a580cccb54236034a21030d919a602ed”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-leaflet.providers-1.9.0-r36h6115d3f_1.tar.bz2”h0Œ@f5bc0a900a9e43ef702e4356cf9a531e760d5d531e16627a4cc08c610cc6fc0e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×«Î‚&È´hEM_ÙhFˆubh)”}”(hŒr-nlsic”h#Œ1.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-nlsic-1.0.2-r42hc72bb7e_1.tar.bz2”h+Œ 012dc8d1beceece483e50ad774c22c1c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-nlsic-1.0.2-r42hc72bb7e_1.tar.bz2”h0Œ@e6975f004fefe4feb0c5b1063f9f092b6129d349d75af68ea41095f4a7a7a7c7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-nnls”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒF-á‰7hEJžœ hFˆubh)”}”(hŒ&opentelemetry-instrumentation-psycopg2”h#Œ0.33b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒBopentelemetry-instrumentation-psycopg2-0.33b0-pyhd8ed1ab_0.tar.bz2”h+Œ b4c5c359c836f7d13318b789c6596b09”h.Œphttps://conda.anaconda.org/conda-forge/noarch/opentelemetry-instrumentation-psycopg2-0.33b0-pyhd8ed1ab_0.tar.bz2”h0Œ@aeadf80d663aa193764c9ac0cd01345ec561eee78ca1a14cb334ef8e17da7564”h2NhNh3(Œopentelemetry-api ~=1.12”Œ$opentelemetry-instrumentation 0.33b0”Œ*opentelemetry-instrumentation-dbapi 0.33b0”Œpython >=3.6”Œwrapt <2.0.0,>=1.0.0”t”h9h?h@Œ
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r-jsonlite”Œr-shiny”‡”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØÑLùíp¤hEMþhFˆubh)”}”(hŒnetworkx”h#Œ2.8.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#networkx-2.8.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2854258fd9d2a2fae7b05a0f1ab2e09c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/networkx-2.8.3-pyhd8ed1ab_0.tar.bz2”h0Œ@da2dae59e5716b638ab06802ab12c6e81e3bd683b61be1539a6ca08d63109f44”h2NhNh3Œpython >=3.8”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¦ðçšMÓhEJJõ hFˆubh)”}”(hŒr-bookdownplus”h#Œ1.5.8”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ*r-bookdownplus-1.5.8-r40hc72bb7e_1.tar.bz2”h+Œ 3c410cbadcb97e2354abde959edf8cdd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bookdownplus-1.5.8-r40hc72bb7e_1.tar.bz2”h0Œ@3a26ec602b86c5140ace11da960feee74e6e5b8b8402f1621c64dad219c151d8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bookdown >=0.3.17”Œr-knitr”Œr-magick”Œ
r-xaringan”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,À'+hEJí£ hFˆubh)”}”(hŒr-prettyunits”h#Œ1.1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-prettyunits-1.1.1-r36h6115d3f_1.tar.bz2”h+Œ c6ff88b560efa942ba8d0ae60b2727af”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prettyunits-1.1.1-r36h6115d3f_1.tar.bz2”h0Œ@ef9976ac9d5ed63a532c7175e1b80cb4651d2c5caf241ebfe15f57a38a4772c0”h2NhNh3Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×«9SRÐåhEM£¢hFˆubh)”}”(hŒnapari-time-slicer”h#Œ0.4.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-napari-time-slicer-0.4.9-pyhd8ed1ab_0.tar.bz2”h+Œ 53721580b49e6a738765c610e5b718e8”h.Œ[https://conda.anaconda.org/conda-forge/noarch/napari-time-slicer-0.4.9-pyhd8ed1ab_0.tar.bz2”h0Œ@75ab586c01efbc369ea5cb3be7819d2912d842c36a34b73f9eccfce4acbff6b2”h2NhNh3(Œnapari-plugin-engine >=0.1.4”Œnapari-tools-menu”Œnapari-workflows”Œnumpy”Œpyqt”Œpython >=3.7”Œtoolz”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ²È8ÏPhEM86hFˆubh)”}”(hŒyamlns”h#Œ0.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"yamlns-0.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ f8674dfff5e42d1c9c8e070d8b316046”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/yamlns-0.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e984aa29edffa6ee75abf7648898c2f77b1f2c702c36f4c8c2a60af886227991”h2NhNh3(Œpytest”Œpython >=3.6”Œpyyaml >=5.3.1”Œsetuptools >=20.4”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÚGK†VhEM®’hFˆubh)”}”(hŒr-graddescent”h#Œ3.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-graddescent-3.0-r40hc72bb7e_0.tar.bz2”h+Œ 8f6d8e8467955634f624de07e3d47c5e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-graddescent-3.0-r40hc72bb7e_0.tar.bz2”h0Œ@d44f9aed44c9abfd9ba7331237c775a432670d98afe6e2a8fc30a5bc3dd00737”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØa¹ÄÒòhEJû} hFˆubh)”}”(hŒ	ipyscales”h#Œ0.7.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$ipyscales-0.7.0-pyhd8ed1ab_1.tar.bz2”h+Œ 6ada7e19157a4cf869f3c87e5cec70a6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/ipyscales-0.7.0-pyhd8ed1ab_1.tar.bz2”h0Œ@8054f8d99d5b75763b8e4574b662efcdab2880b0aa7d78fe8bcc880a3de9c2b8”h2NhNh3Œipywidgets >=7.0.0,<9”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÑ¯“  ÅhEJÉs hFˆubh)”}”(hŒlibnl-cos7-ppc64le”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.libnl-cos7-ppc64le-1.1.4-hdf0574f_1102.tar.bz2”h+Œ 16b32e048d8576f4339d973bde4ad436”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-ppc64le-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@e928116817d770adb85645034fda5253185580ed9837ce8b46d08b192050ba5b”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Å+Y;hEJ{] hFˆubh)”}”(hŒpartial-aligner”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*partial-aligner-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 449339ba30b75aa6cd2ce76d3e61963c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/partial-aligner-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a92e6755484576bcf63a62d12b513206fb7a50f1a875f95f1e733ec894784873”h2NhNh3(Œ	dask-core”Œmagicgui”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œ	packaging”Œpython >=3.9”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ|÷ž·l‹hEMj8hFˆubh)”}”(hŒlibxi-cos7-x86_64”h#Œ1.7.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-libxi-cos7-x86_64-1.7.9-h9d98e8f_1104.tar.bz2”h+Œ 46b2410c1c697982bb236132b0d1c034”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-x86_64-1.7.9-h9d98e8f_1104.tar.bz2”h0Œ@605ffde3c7570b3b7f847c3b12395d8522046d0e37147deabcd992d2fa58a747”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~·žhEM”hFˆubh)”}”(hŒgraypy”h#Œ2.1.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!graypy-2.1.0-pyhd8ed1ab_1.tar.bz2”h+Œ 0c72b2892c50424b3d7af30c2fd4d893”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/graypy-2.1.0-pyhd8ed1ab_1.tar.bz2”h0Œ@99e38443661f2f10c1c8865b4136c9c4200815e323aa505e20fa9d35207178d4”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ„äTí‘hEMhhFˆubh)”}”(hŒr-tidybf”h#Œ0.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tidybf-0.5.1-r41hc72bb7e_0.tar.bz2”h+Œ fc3d0c4ac19490c63d4021f277e348ec”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidybf-0.5.1-r41hc72bb7e_0.tar.bz2”h0Œ@27acd4f97948ae408503cf3f854d9adac024bd4506b2beb9446391f988792d26”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayesfactor”Œr-dplyr”Œr-effectsize >=0.4.0”Œr-insight >=0.10.0”Œr-ipmisc >=4.1.0”Œr-lme4”Œr-metabma >=0.6.5”Œr-parameters >=0.9.0”Œr-performance >=0.5.1”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ19ÓhEJsu hFˆubh)”}”(hŒrhapsody”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒrhapsody-0.4.0-py_0.tar.bz2”h+Œ 6e23bea75e0d8b521a5dec7494a36a46”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/rhapsody-0.4.0-py_0.tar.bz2”h0Œ@2eb809c37eae10d65056ca5562e4da6ad78450bcaece96a0418c2127c8b87497”h2NhNh3(Œbiom-format”Œclick”Œh5py”Œipython”Œpandas”Œ
python >=3”Œscikit-bio >0.5.4”Œscikit-learn”Œtensorflow >1.7”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×MÊÒº°!hEM²ThFˆubh)”}”(hŒgeant4-data-realsurface”h#Œ2.2”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ.geant4-data-realsurface-2.2-hd8ed1ab_0.tar.bz2”h+Œ 6507664de64638cc594e49ba91e38a4b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/geant4-data-realsurface-2.2-hd8ed1ab_0.tar.bz2”h0Œ@62e43609d57ac8b0f0f13963568adda8655c9419f6fad8cded36c841dcb7c791”h2NhNh3)h9hºh@ŒOTHER”hDGA×÷’·ø“uhEJà"ïhFˆubh)”}”(hŒr-benchmarkmedata”h#Œ1.0.4”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ-r-benchmarkmedata-1.0.4-r41hc72bb7e_2.tar.bz2”h+Œ 03dfe412ec7b061ee5f11981a60f1a86”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-benchmarkmedata-1.0.4-r41hc72bb7e_2.tar.bz2”h0Œ@80186414576dd795baa43510342870b49b3569fbab1f96bab93bcec5faea54ba”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-tibble”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÑ9Î¹ë…hEJ‰¹ hFˆubh)”}”(hŒr-plotmo”h#Œ3.6.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-plotmo-3.6.2-r40hc72bb7e_0.tar.bz2”h+Œ dde39a1475359cf492d046fd3944fb08”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-plotmo-3.6.2-r40hc72bb7e_0.tar.bz2”h0Œ@85ef51ee4b321eca24de781e1548e6b75494ac8ec265c72706623e3ed06a93e9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-formula >=1.2_3”Œ	r-plotrix”Œr-teachingdemos”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ§p†E¢hEJÊD hFˆubh)”}”(hŒquadpy”h#Œ0.16.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#quadpy-0.16.10-pyhd8ed1ab_0.tar.bz2”h+Œ 831c71a695d80b38fb4516a62fbe41dd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/quadpy-0.16.10-pyhd8ed1ab_0.tar.bz2”h0Œ@1612a1f4e296af356a199c8cf9113ef86294c861118b39dd5d28fbbcb5852849”h2NhNh3(Œimportlib-metadata”Œndim”Œnumpy”Œorthopy <0.10,>=0.9”Œpython >3.5”Œscipy”Œsympy”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØUgÁ3C–hEJ¾i hFˆubh)”}”(hŒ	catalogue”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒcatalogue-1.0.0-py_0.tar.bz2”h+Œ f480eb3d91dcea52b2a59bbcdef4c5b2”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/catalogue-1.0.0-py_0.tar.bz2”h0Œ@c752b553d59e04884de8f8bb3bca4694fa75d63c44d08ef182a50d506df27466”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×…ñ:8r°hEM¥)hFˆubh)”}”(hŒr-readbitmap”h#Œ0.1.5”h%Œr40h6115d3f_2”h'Khhh(h)hŒ(r-readbitmap-0.1.5-r40h6115d3f_2.tar.bz2”h+Œ 7390dc09626fc7c6afea3c5b1f7d0c29”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-readbitmap-0.1.5-r40h6115d3f_2.tar.bz2”h0Œ@66babb7b7fefb7764cfde190d4d346d23956aa98071edc104732268850844a3a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bmp”Œr-jpeg”Œr-png”Œr-tiff”t”h9hºh@Œ
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hd4c1694_0”h'K hhh(h)hŒ"rb-rouge-3.16.0-hd4c1694_0.tar.bz2”h+Œ 4295867dc13ea35932c2ff54099bc0e3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-rouge-3.16.0-hd4c1694_0.tar.bz2”h0Œ@c4bfcbf1fb20114c2ef5cc9ce3fb2ad4933f80032a0f866d028d13ec6372a89b”h2NhNh3Œruby >=2.5.7,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×–Rï hEJ hFˆubh)”}”(hŒsphinxcontrib-websupport”h#Œ1.2.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ3sphinxcontrib-websupport-1.2.4-pyhd8ed1ab_1.tar.bz2”h+Œ 048050c42582279e2197d8d277d3410c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-websupport-1.2.4-pyhd8ed1ab_1.tar.bz2”h0Œ@cf66305e803fc940dda6495edfd6fbc9b52cb3a64900624bcb1e5765a8b5e43d”h2NhNh3(Œjinja2”Œpython >=3.5”Œsphinx”Œsphinxcontrib-serializinghtml”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØd‡¼ÂMÓhEMíŠhFˆubh)”}”(hŒsphinxcontrib-restbuilder”h#Œ0.2”h%Œpy_0”h'K hhh(h)hŒ*sphinxcontrib-restbuilder-0.2-py_0.tar.bz2”h+Œ 704e7c1521a135220287e005691a05b9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-restbuilder-0.2-py_0.tar.bz2”h0Œ@b88b3764ec5c3cc588b71942ebd5e1c254ff45581ca6db42ca4ae7287a99a584”h2NhNh3Œpython”Œsphinx”†”h9h?h@ŒBSD 2-clause”hBŒBSD”hDGA×ot\Ý/hEMã2hFˆubh)”}”(hŒr-sybil”h#Œ2.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-sybil-2.2.0-r41hc72bb7e_0.tar.bz2”h+Œ cf62a254844816e763e4e927cb557592”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-sybil-2.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@cc9a12fc9bb07f4bc4c9d322dfee4d8a94a15684f77d22b8271180376d465fbd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-matrix”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ-MSÆ¨hEJŠž# hFˆubh)”}”(hŒ
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matplotlib”Œnumpy”Œ
palettable”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×;TöØå`hEMÑ$hFˆubh)”}”(hŒr-readmzxmldata”h#Œ2.8.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ+r-readmzxmldata-2.8.2-r42hc72bb7e_0.tar.bz2”h+Œ 53e4fa14fb8b9378407d13ac7aeaa4ac”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-readmzxmldata-2.8.2-r42hc72bb7e_0.tar.bz2”h0Œ@8942a4c66855dd591879b8d096992855583619ea2226b71259ad80d5c7ba885b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-digest”Œr-xml”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÚŒ‹×
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.16.*”t”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØ·Ÿ”ýôhEJW< hFˆubh)”}”(hŒjupyter-containds”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jupyter-containds-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ f337f0f701e1928b83a34182c1aeafc8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyter-containds-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@cec8decc5eb78c21afdcef45179fa2615a73934cf94babff0dde37f70a9aae03”h2NhNh3Œipywidgets >=7.6.0,<8”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØºÀƒhEJå< hFˆubh)”}”(hŒr-s4vd”h#Œ1.1_1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ%r-s4vd-1.1_1-r41hc72bb7e_1002.tar.bz2”h+Œ 2e24a3c769fe0bd547a50cfe763010e8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-s4vd-1.1_1-r41hc72bb7e_1002.tar.bz2”h0Œ@ccb96eccc5a9d88f5d57c952ccf0c5a25ffce0c3aefea2e8941cfd8eab2f82a7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-biclust”Œ	r-foreach”Œr-irlba”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+µÅ4IºhEJã hFˆubh)”}”(hŒpy2700”h#Œ0.1.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ!py2700-0.1.0-pyhd3deb0d_0.tar.bz2”h+Œ 89c5a1843bff3fb404eb54a2eff8101d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/py2700-0.1.0-pyhd3deb0d_0.tar.bz2”h0Œ@2d310739f002602a834bc27343b319fc0e48f87cfadf34c8c4ef3ebddbe18ca0”h2NhNh3Œpython”Œpyvisa”Œ	pyvisa-py”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ùBOPhEMQ4hFˆubh)”}”(hŒr-orthopolynom”h#Œ1.0_6.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-orthopolynom-1.0_6.1-r42hc72bb7e_1.tar.bz2”h+Œ 915f97972def0be941f7faaece7a1a06”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-orthopolynom-1.0_6.1-r42hc72bb7e_1.tar.bz2”h0Œ@71f7b0c688d62e47fdf62d88fe44710fc7495ad95204c2aee79c54c741bba850”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-polynom”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑuaÊÁhEJ†ƒ hFˆubh)”}”(hŒr-venndiagram”h#Œ1.7.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-venndiagram-1.7.3-r42hc72bb7e_1.tar.bz2”h+Œ 1ae5de6791f74de8c86088d92f913479”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-venndiagram-1.7.3-r42hc72bb7e_1.tar.bz2”h0Œ@9aabbce93eb022c1e2472ad4047ca8895347de642611368c12bec6cf1238e75e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-futile.logger”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ?¹zMÓhEJ hFˆubh)”}”(hŒsemi-ate-master-app”h#Œ1.0.12”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ/semi-ate-master-app-1.0.12-pyh1a96a4e_0.tar.bz2”h+Œ e7efa6837d46e33bdfa63fb3bbc90458”h.Œ]https://conda.anaconda.org/conda-forge/noarch/semi-ate-master-app-1.0.12-pyh1a96a4e_0.tar.bz2”h0Œ@f91db1163d33cb6f079bb13ad7b6248240edd42c0aa289dc6764f882d109b72f”h2NhNh3(Œaiohttp 3.7.4”Œpydantic”Œpython >=3.8”Œsemi-ate-apps-common”Œsemi-ate-common”Œsemi-ate-plugins”Œtransitions”Œ	xmltodict”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØÍkö5?hEMø©hFˆubh)”}”(hŒpython-javapackages-cos7-x86_64”h#Œ3.4.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;python-javapackages-cos7-x86_64-3.4.1-h9b0a68f_1105.tar.bz2”h+Œ 0786deb3d292b56f35ab516df2031585”h.Œihttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-x86_64-3.4.1-h9b0a68f_1105.tar.bz2”h0Œ@940132dc7ef29ae24c44e44637a502a23758eb475690b7ef54319eec4c811cc2”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@fÊÌIºhEM€3hFˆubh)”}”(hŒlibdrm-cos7-ppc64le”h#Œ2.4.97”h%Œh1795305_1101”h'MMhhh(h)hŒ0libdrm-cos7-ppc64le-2.4.97-h1795305_1101.tar.bz2”h+Œ 682db4cd818ba9303db467144ff2d884”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-ppc64le-2.4.97-h1795305_1101.tar.bz2”h0Œ@ab869bdb45479228783c2fabd71df7e447ae427f987830665f32070e3c441a3b”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;r°hEJ… hFˆubh)”}”(hŒr-taxa”h#Œ0.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-taxa-0.4.2-r41hc72bb7e_1.tar.bz2”h+Œ b1e7e8338fe87fb8336395c12dda767a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-taxa-0.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@10f4dcfdc2a925130dd5a30cce2cc9a8bda032af53045fd35fd755d73e089bcb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-dplyr”Œ
r-jsonlite”Œr-knitr”Œ
r-lazyeval”Œ
r-magrittr”Œr-r6”Œr-rlang”Œ	r-stringr”Œr-taxize”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ
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r-numderiv”t”h9hºh@Œ
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mercantile”Œnumpy”Œpillow”Œpython >=3.6”Œrasterio”Œrequests”Œrio-tiler >=2”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ[ÙçÐbhEMK3hFˆubh)”}”(hŒ
asn1crypto”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%asn1crypto-1.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ f3f2ab3ce28979a24d1a988ba211eb9b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/asn1crypto-1.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1354731d0eb1b406b66b3cb3d6ab74d7cbe9c0ec1d30b9e5afa366d4539e4687”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØŒ7MVhEJµ< hFˆubh)”}”(hŒsplunk_handler”h#Œ2.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)splunk_handler-2.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 35667d807ce606f90703dccf42bdbedc”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/splunk_handler-2.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@973c21e5b3aeccc652e2a12b8c97fd9a6ce37ef0e7a71cc4564154d0233c8c4c”h2NhNh3Œpython >=2.7”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ0«n0ÄœhEM‰.hFˆubh)”}”(hŒ
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r-grplasso”Œr-mgcv”Œ
r-quadprog”Œr-rlrsim”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓ{dÌÍhEJ[ hFˆubh)”}”(hŒ	r-profmem”h#Œ0.6.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ%r-profmem-0.6.0-r36hc72bb7e_0.tar.bz2”h+Œ 8fc597108c583502666200b372933784”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-profmem-0.6.0-r36hc72bb7e_0.tar.bz2”h0Œ@71e2b57144740d8b716921cbb0ae98c02755075417af1c74f64c453e8bafe8f7”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØ
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Apache-2.0”hBŒAPACHE”hDGAØÐêFÛ×
hEJ…M hFˆubh)”}”(hŒr-qqman”h#Œ0.1.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-qqman-0.1.8-r41hc72bb7e_0.tar.bz2”h+Œ d07d73eda3c74d9d14a2fa53d9ece182”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-qqman-0.1.8-r41hc72bb7e_0.tar.bz2”h0Œ@5ad62348596efb3ee45897d9902d8087fd246fa8e6d6fa619e122e90a0b66f95”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-calibrate”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+%™E²-hEJç hFˆubh)”}”(hŒ
r-redlistr”h#Œ1.0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-redlistr-1.0.3-r40hc72bb7e_0.tar.bz2”h+Œ bd86018d1db5d3fd5754f4942fbbb9e2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-redlistr-1.0.3-r40hc72bb7e_0.tar.bz2”h0Œ@09a977f2eba4d9d4674db51f99267809abd2cf3f0132f48c91fdf2247de1190a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-plyr”Œr-raster >=2.5_8”Œr-rgeos”Œr-sp >=1.2_4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÂ%ŠÞE¢hEJ¾_ hFˆubh)”}”(hŒr-d3heatmap”h#Œ0.6.1.2”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ,r-d3heatmap-0.6.1.2-r40hc72bb7e_1003.tar.bz2”h+Œ 8a2bbcc4a16bfcf7c9ad7cb2625e4ba8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-d3heatmap-0.6.1.2-r40hc72bb7e_1003.tar.bz2”h0Œ@f3af100239610b2536a21ef336254e3f4f418d7e0e2990582e8905c139c26d01”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-dendextend >=0.18.0”Œr-htmlwidgets”Œr-png”Œr-scales >=0.2.5”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+ÅùVhEJó‰ hFˆubh)”}”(hŒr-locfdr”h#Œ1.1_8”h%Œr36_1002”h'Mêhhh(h)hŒr-locfdr-1.1_8-r36_1002.tar.bz2”h+Œ 5515ab139527a024a6d74b7747df9146”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-locfdr-1.1_8-r36_1002.tar.bz2”h0Œ@9d3527409df84d805d535ef5061a147af6b08debb6496861e20fe76dac3ddaae”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¬ùÛhEJ¹ï hFˆubh)”}”(hŒneovim”h#Œ0.3.1”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ!neovim-0.3.1-pyhd8ed1ab_3.tar.bz2”h+Œ ba756dbe6cce74ea8bef00cff0a0e8bb”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/neovim-0.3.1-pyhd8ed1ab_3.tar.bz2”h0Œ@62491b3d8ce93c28120e33a6d05db46612c2c116b89602ba3b98cdbcc5adb8ef”h2NhNh3Œpynvim”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØØ©y†5?hEM^(hFˆubh)”}”(hŒr-dosnow”h#Œ1.0.20”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-dosnow-1.0.20-r41hc72bb7e_0.tar.bz2”h+Œ 3f96c617ebb6a542c376f78032307abc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dosnow-1.0.20-r41hc72bb7e_0.tar.bz2”h0Œ@92a50b04507463d2de5d5f5b42107a956d77a447a689eb3d30df88d2fb4df107”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”Œr-snow >=0.3.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ\JÃ•hEMñœhFˆubh)”}”(hŒmesa-libglapi-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ7mesa-libglapi-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 22fb72b9c552431f6086e08844b5b046”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@41d81f9efb22016da3db3f0e6757d613c5a27e189b44fba21d39ec8ad3331555”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ˆ  hEMô²hFˆubh)”}”(hŒlibbonobo-devel-cos6-x86_64”h#Œ2.24.2”h%Œha826a6f_103”h'Kghhh(h)hŒ7libbonobo-devel-cos6-x86_64-2.24.2-ha826a6f_103.tar.bz2”h+Œ a7230c80052d385140e9ae2993245ca9”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos6-x86_64-2.24.2-ha826a6f_103.tar.bz2”h0Œ@73e7b7a3bc73af1dd55433f88e3fa18cc7a3c5a602eb359b0f2d825b4c655a86”h2NhNh3Œ$libbonobo-cos6-x86_64 ==2.24.2 *_103”Œ(libxml2-devel-cos6-x86_64 >=2.4.21 *_103”Œ&orbit2-devel-cos6-x86_64 >=2.7.5 *_103”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Æ2ï¹º^hEJÛ hFˆubh)”}”(hŒ	broadbean”h#Œ0.11.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ%broadbean-0.11.0-pyh6c4a22f_0.tar.bz2”h+Œ 2491cd4d6330529e73c9b12d7af48374”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/broadbean-0.11.0-pyh6c4a22f_0.tar.bz2”h0Œ@3d2d27b52cff6c50c40aedc3f4ffce4980d41a4710dedba05ee622895e4c540c”h2NhNh3(Œmatplotlib-base”Œnumpy >=1.12.1”Œpython >=3.7”Œschema”Œversioningit”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¼ÞÃ8£×hEMõ¤hFˆubh)”}”(hŒrdma-core-devel-cos7-aarch64”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ7rdma-core-devel-cos7-aarch64-22.4-ha826a6f_1103.tar.bz2”h+Œ 22290badda3efaf2e4c2094547005c18”h.Œehttps://conda.anaconda.org/conda-forge/noarch/rdma-core-devel-cos7-aarch64-22.4-ha826a6f_1103.tar.bz2”h0Œ@b6546eea27f59c8b751a27ba9354544a80b81ed85a0b2acbcfc2e97e1d387009”h2NhNh3(Œ ibacm-cos7-aarch64 ==22.4 *_1103”Œ$libibumad-cos7-aarch64 ==22.4 *_1103”Œ%libibverbs-cos7-aarch64 ==22.4 *_1103”Œ$librdmacm-cos7-aarch64 ==22.4 *_1103”Œ$rdma-core-cos7-aarch64 ==22.4 *_1103”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È-6ý²-hEJ¨³ hFˆubh)”}”(hŒibis-heavyai”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%ibis-heavyai-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ ae3c4e303b2e8d388021cdbcf81d71e7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ibis-heavyai-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d8123b44e29f15fe44500b680a3f4b6335a0761242477cd1c2054ee6f5e759f7”h2NhNh3(Œ	geopandas”Œheavyai”Œibis-framework >=2.0,<3”Œimportlib_metadata”Œ	packaging”Œpandas”Œpyarrow >=3.0.0”Œpython >=3.7”Œrbc >=0.8.0”Œregex”Œshapely”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¡„RèA‰hEMÁˆhFˆubh)”}”(hŒkernel_driver”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(kernel_driver-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 6e7b47afd77da1cd92d06c37ce735d95”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/kernel_driver-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@e1e24b53492dce50df976f7c2a97ae0f7bcbfae5fe912b29c5cc62f3e1a885fb”h2NhNh3(Œpython >=3.7”Œpython-dateutil”Œpyzmq”Œrich”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ]Èc3ohEM+0hFˆubh)”}”(hŒlibxext-devel-cos7-ppc64le”h#Œ1.3.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libxext-devel-cos7-ppc64le-1.3.3-h9b0a68f_1105.tar.bz2”h+Œ 4a7068eaaeb9a9864c2bbbfb0b1e10cd”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-ppc64le-1.3.3-h9b0a68f_1105.tar.bz2”•*      h0Œ@485c555cb1f9c0a87414a30a7cd69e583ad08a1fa86ed329616ff2ca34f01266”h2NhNh3Œ#libxext-cos7-ppc64le ==1.3.3 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@øÒ¬hEJ" hFˆubh)”}”(hŒinjector”h#Œ0.20.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$injector-0.20.1-pyhd8ed1ab_0.tar.bz2”h+Œ cf4d814bd78dbd68b3cc51920e6d769f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/injector-0.20.1-pyhd8ed1ab_0.tar.bz2”h0Œ@04f9ea6d6b82c1cbf913dafba0d275841f8154386185ac2c8df7b9b20ecbc3c0”h2NhNh3Œpython >=3.7”Œtyping_extensions >=3.7.4”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ³Á£ô(öhEM WhFˆubh)”}”(hŒmesa-libgl-devel-cos7-aarch64”h#Œ18.3.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9mesa-libgl-devel-cos7-aarch64-18.3.4-h9d98e8f_104.tar.bz2”h+Œ 5e729b10b81e84e004f5bfc118409005”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-aarch64-18.3.4-h9d98e8f_104.tar.bz2”h0Œ@b0f2568c6496fb6d2f56414c91d55cda60bd8758c2bca5774b9b1acc335d8bd6”h2NhNh3Œ*mesa-khr-devel-cos7-aarch64 ==18.3.4 *_104”Œ&mesa-libgl-cos7-aarch64 ==18.3.4 *_104”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}ï†§ðhEJ"‰ hFˆubh)”}”(hŒmesa-libgl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ:mesa-libgl-devel-cos7-ppc64le-18.3.4-ha826a6f_1103.tar.bz2”h+Œ 52af059a62311cdeea9191fcf28f832f”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-ppc64le-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@ad15bd420ba5d0189d32986966d2e913705f07f11e35f62bd3e796a9424ca45f”h2NhNh3Œ+mesa-khr-devel-cos7-ppc64le ==18.3.4 *_1103”Œ'mesa-libgl-cos7-ppc64le ==18.3.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ4J~úhEJàƒ hFˆubh)”}”(hŒlibxinerama-cos7-ppc64le”h#Œ1.1.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libxinerama-cos7-ppc64le-1.1.3-h9d98e8f_1104.tar.bz2”h+Œ 6d03f0c65ecb54fe63755693d51505f5”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-ppc64le-1.1.3-h9d98e8f_1104.tar.bz2”h0Œ@edbf533f719dd0323270c6e89d13661750759bba5f65e8b2770651753ad03215”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉBð1'hEMÖ+hFˆubh)”}”(hŒcyberpunk-theme”h#Œ0.0.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+cyberpunk-theme-0.0.14-pyhd8ed1ab_0.tar.bz2”h+Œ 4fe6957f5af09bf73155385dafc6ab67”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/cyberpunk-theme-0.0.14-pyhd8ed1ab_0.tar.bz2”h0Œ@1dc68f53af6fff1ffea11568d56020370bfff18ba0ce6e0483700f970e8547d5”h2NhNh3Œpython >=3.5”Œtkstyle”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ±¢¾whEMP8hFˆubh)”}”(hŒdagster_snowflake”h#Œ0.6.5”h%Œpy_0”h'K hhh(h)hŒ$dagster_snowflake-0.6.5-py_0.tar.bz2”h+Œ f01a80db329b70b58856caeb7b25c556”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dagster_snowflake-0.6.5-py_0.tar.bz2”h0Œ@73d377a37b494cc1c408cb6e2e0b2c92dfd41ba551d6e1db72f057e55a0ecd51”h2NhNh3(Œazure-storage-blob <12”Œdagster 0.6.5.*”Œpython”Œ"snowflake-connector-python 2.0.1.*”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×x:Ï™º^hEMê6hFˆubh)”}”(hŒnapari-manual-transforms”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3napari-manual-transforms-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ eb8a2c8c3f1f1cc44e99cff5bc50aa85”h.Œahttps://conda.anaconda.org/conda-forge/noarch/napari-manual-transforms-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@bd61c5ed37a0ce44845857be0ef411df4ecad2b324b87996d29edc97e70bbf8f”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpython >=3.8”Œpytransform3d”Œqtpy”Œscipy”Œvispy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ²ùrú=qhEM8hFˆubh)”}”(hŒpytest-pep8”h#Œ1.0.6”h%Œpy_1”h'Khhh(h)hŒpytest-pep8-1.0.6-py_1.tar.bz2”h+Œ 0607cc0d9e15671ccbe3daefd3d10295”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pytest-pep8-1.0.6-py_1.tar.bz2”h0Œ@525fa24ea7167ff78a05c63423a140c0a6fe4756e3ef7668558abc7fd0e1b39f”h2NhNh3(Œ
pep8 >=1.3”Œpytest >=2.4.2”Œpytest-cache”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐˆ.2áHhEMhFˆubh)”}”(hŒpandaboxlib”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pandaboxlib-1.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 603401398c735e957d55329a39989e8d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pandaboxlib-1.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@14f2cfc12debbe7f459923594d5e7f9d6f178bf0c07a0e90060de96f96afd158”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØÏøÒøå`hEM%1hFˆubh)”}”(hŒr-janeaustenr”h#Œ1.0.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-janeaustenr-1.0.0-r41hc72bb7e_1.tar.bz2”h+Œ 4bdc9c09014d8e87ea7c133384669e7e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-janeaustenr-1.0.0-r41hc72bb7e_1.tar.bz2”h0Œ@cd7fe48e850d2c46ec678b33ebdaa908e932a3d780cd75bccbe928c6ef793c2c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ·á+×
hEJ hFˆubh)”}”(hŒpyilluminate”h#Œ0.6.19”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pyilluminate-0.6.19-pyhd8ed1ab_0.tar.bz2”h+Œ 74e2a8bbb199bbcdf1d5c8bf39b07e7f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pyilluminate-0.6.19-pyhd8ed1ab_0.tar.bz2”h0Œ@fe2f6d95050737db9843e00d22475722b041dbc64c3a41babd9937fd1caf571f”h2NhNh3(Œdataclasses”Œmultiuserfilelock”Œnumpy”Œ	packaging”Œpyserial”Œpython >=3.7,<4”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÓ*ç¥`BhEM?jhFˆubh)”}”(hŒr-ggsn”h#Œ0.5.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-ggsn-0.5.0-r41hc72bb7e_2.tar.bz2”h+Œ 636311ff823b5de5676626718ac6c2aa”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggsn-0.5.0-r41hc72bb7e_2.tar.bz2”h0Œ@62b2e38aca34cdfd4e8f460b1e3fad64830883b9bcd5c7d624854698fdf9f303”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggmap”Œ	r-ggplot2”Œ
r-maptools”Œr-png”Œr-sf”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+éùót¼hEJÎ¿
 hFˆubh)”}”(hŒ
r-subspace”h#Œ1.0.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-subspace-1.0.4-r41hc72bb7e_1.tar.bz2”h+Œ df2128a15af8580c068bd02d83270ea6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-subspace-1.0.4-r41hc72bb7e_1.tar.bz2”h0Œ@029e2773337410a10d6587c9f524ca1d2eb8cc1c60fade6bdd6c8711670f784f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colorspace >=1.0”Œr-ggvis >=0.4.2”Œr-rjava >=0.9”Œr-stringr >=1.0.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ Pô1hEJ‚ƒA hFˆubh)”}”(hŒr-rchoicedialogs”h#Œ1.0.6.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ.r-rchoicedialogs-1.0.6.1-r41hc72bb7e_0.tar.bz2”h+Œ 3adf4bdc51b4b9d8a26a47b55aaeb50e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rchoicedialogs-1.0.6.1-r41hc72bb7e_0.tar.bz2”h0Œ@05c80e2ae1ec9c3b7183a9f79098869448739a8672f149c48f40f1c2faee4eb7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒLGPL (>= 2.1)”hBŒLGPL”hDGAØ®Có¶hEJC hFˆubh)”}”(hŒquantum-grove”h#Œ1.7.0”h%Œpyh985f01a_2”h'Khhh(h)hŒ(quantum-grove-1.7.0-pyh985f01a_2.tar.bz2”h+Œ 4127f8e44dc85331921d3b0300125ee3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/quantum-grove-1.7.0-pyh985f01a_2.tar.bz2”h0Œ@b5697c8ff14099d20b35c4f53be96bc8a615be8c6866ab74055897c451b92821”h2NhNh3(Œfuncsigs”Œmatplotlib-base”Œmock”Œnetworkx”Œnumpy”Œpyquil >=1.6.1”Œpython >=3.6”Œscipy”t”h9h?h@Œ
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nhs-number”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%nhs-number-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9527fa841a71ea7ce26d61a51981dcdf”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/nhs-number-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2ae856f6bb7329e43d66cccec7bf4b904e28c6ff69ba3139a42d34ce9d3adb4e”h2NhNh3Œpython >=2.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ8ÁU¸hEM{hFˆubh)”}”(hŒ	aniso8601”h#Œ9.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$aniso8601-9.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 36fba1a639f2d24723c5480345b78553”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/aniso8601-9.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@201c040b6ee0045805a777f75f37a8648eb8dfd4725d62a4fcddc24d7d6c2a9f”h2NhNh3Œpython >=2.7”Œpython-dateutil”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ1=©XhEM<—hFˆubh)”}”(hŒ	r-solrium”h#Œ1.2.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ%r-solrium-1.2.0-r41h785f33e_0.tar.bz2”h+Œ b189d1c00476c939e7d24788a21aa2f3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-solrium-1.2.0-r41h785f33e_0.tar.bz2”h0Œ@d27fbec68f791f89ff50b42e3fd6c5107a3588678f780a0d3ab7ea4c15dd9ec5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.4.0”Œr-dplyr >=0.5.0”Œr-jsonlite >=1.0”Œr-plyr >=1.8.4”Œr-r6”Œr-tibble >=1.4.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+Ü™Õ`BhEJlm hFˆubh)”}”(hŒr-weatherdata”h#Œ0.4.1”h%Œ	r351_1000”h'Mèhhh(h)hŒ%r-weatherdata-0.4.1-r351_1000.tar.bz2”h+Œ 2ef3935fddcd430f29b4d0e2c7f6898e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-weatherdata-0.4.1-r351_1000.tar.bz2”h0Œ@d4b1e4c2c567a69ff5e7bd5eefa3777bd955fc33da613d122a718d1a34d27b2e”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-plyr”†”h9hºh@ŒGPL”hBŒGPL”hDGAÖýVRlZhEJà+ hFˆubh)”}”(hŒr-binr”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-binr-1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 6cfaab69e663d3b79088a524bd71b7a2”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-binr-1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@6e1f9db6c1a2045a7a59d9734cd0da232845004d6bf7c8927aa7a9c164656227”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÒ¢bhEJù* hFˆubh)”}”(hŒr-testextra”h#Œ0.1.0.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-testextra-0.1.0.1-r42hc72bb7e_2.tar.bz2”h+Œ 27e39d454d35a42b2cd1e95294d81f50”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-testextra-0.1.0.1-r42hc72bb7e_2.tar.bz2”h0Œ@48970d483a84210fb6ab47474460a09e5370c71c41f652f3479c6302732fa424”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-parsetools”Œ	r-pkgcond”Œr-postlogic”Œr-purrr”Œr-rlang”Œ	r-stringi”Œ
r-testthat”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑEôTÝ/hEJôÌ hFˆubh)”}”(hŒcopy-jdk-configs-cos7-aarch64”h#Œ3.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6copy-jdk-configs-cos7-aarch64-3.3-h9b0a68f_105.tar.bz2”h+Œ 32671edc3718297ea6df03d767c0a9fd”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-aarch64-3.3-h9b0a68f_105.tar.bz2”h0Œ@a761779463aeb00607095ecba26d6b293a8926f53b203e940b96c898e5a66878”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@WtIºhEMŸ&hFˆubh)”}”(hŒnapari-kics”h#Œ0.0.3rc6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)napari-kics-0.0.3rc6-pyhd8ed1ab_0.tar.bz2”h+Œ 744c236c9aed824b12c729cb97c0d185”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/napari-kics-0.0.3rc6-pyhd8ed1ab_0.tar.bz2”h0Œ@3211e7bcbb83e2337b448a867f5e3941e6050832c9588f0665726e4eb818120c”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpandas”Œpulp”Œ	pyqtgraph”Œpython >=3.7”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ±[t(öhEJ4, hFˆubh)”}”(hŒ	r-survxai”h#Œ0.2.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-survxai-0.2.2-r40hc72bb7e_0.tar.bz2”h+Œ 422ff35c8323ee88315f34abceea53fa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-survxai-0.2.2-r40hc72bb7e_0.tar.bz2”h0Œ@77615fdae6c74276e1c6bef797d0c4a3705ec2be2dcef9e7ed4f59477f25fce8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-breakdown”Œ	r-ggplot2”Œr-pec”Œ	r-prodlim”Œr-scales”Œ
r-survival”Œr-survminer”t”h9hºh@ŒGPL”hBŒGPL”hDGAØ,=ÅÀ´9hEJZ hFˆubh)”}”(hŒpymedphys_pinnacle”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒ&pymedphys_pinnacle-0.11.0-py_0.tar.bz2”h+Œ 0c2f8bd64e767d2f6aa9b71f6f98455c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pymedphys_pinnacle-0.11.0-py_0.tar.bz2”h0Œ@c83c33eb7e2114d49476d6cdc53f18f493a7b3836275afa1b003e11fcef1818c”h2NhNh3(Œnumpy >=1.12”Œpydicom”Œpython >=3.7”Œpyyaml”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×]èOî$ÝhEMÝ¥hFˆubh)”}”(hŒmesa-libgbm-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5mesa-libgbm-cos7-aarch64-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ 5bee3d6174dfd97713cffb608b990dc1”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-aarch64-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@70805e440bbccb3e069707567609d17f69a0a18db414809744876a3d3e033e04”h2NhNh3Œ#libdrm-cos7-aarch64 >=2.4.83 *_1105”Œ*mesa-libglapi-cos7-aarch64 ==18.3.4 *_1105”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@¶ë…hEM²hFˆubh)”}”(hŒr-webdriver”h#Œ1.0.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-webdriver-1.0.6-r40hc72bb7e_0.tar.bz2”h+Œ aa54f72cfb42600fc0ef2cb4334edad4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-webdriver-1.0.6-r40hc72bb7e_0.tar.bz2”h0Œ@0a6526ba1610afe60937b591e09c3f001ec32459ef5138f6825165ad61ced85d”h2NhNh3(Œ	phantomjs”Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-callr >=2.0.0”Œr-curl >=2.0”Œ	r-debugme”Œr-httr”Œ
r-jsonlite”Œr-r6”Œr-showimage”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÿ‡ðÌ(öhEJª$ hFˆubh)”}”(hŒlog-to-json”h#Œ0.1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&log-to-json-0.1.1-pyh9f0ad1d_0.tar.bz2”h+Œ ab2108d07cde35c0f2e1c21b9f76736c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/log-to-json-0.1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@c133c23c50e0ec5c8ebcde8a42cc46f0876b41751fba83be024116585799bdeb”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Á»ÈC–hEM»hFˆubh)”}”(hŒr-gamm4”h#Œ0.2_6”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-gamm4-0.2_6-r36h6115d3f_0.tar.bz2”h+Œ 55fda32d9a7927517f6c83c3a7c16727”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gamm4-0.2_6-r36h6115d3f_0.tar.bz2”h0Œ@02762db21a542a88f245b95efe164edf0555a00b6a3c587c1263b6d556c99b6b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-lme4 >=0.999375_31”Œr-matrix”Œr-mgcv >=1.7_23”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¢o¡G®hEJ˜ hFˆubh)”}”(hŒr-fds”h#Œ1.8”h%Œr36hc72bb7e_0”h'K hhh(h)hŒr-fds-1.8-r36hc72bb7e_0.tar.bz2”h+Œ 835d9102a1eaf1f3277005748d572375”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fds-1.8-r36hc72bb7e_0.tar.bz2”h0Œ@0604039af4d9301294d57e6a2ccb2926ce5be78adfd31b9760412dbd72a040e9”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-rainbow”Œr-rcurl”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×ð¢m´9XhEJs> hFˆubh)”}”(hŒpyexodus”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒpyexodus-0.1.1-py_0.tar.bz2”h+Œ f691e6ca6322ce96005540ad28b59198”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pyexodus-0.1.1-py_0.tar.bz2”h0Œ@e4e1cb0bb60ffdaa65dcf1553d48139a1675540b182ee4704e5628ab2638c0ef”h2NhNh3Œh5netcdf”Œnumpy”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hEM©JhFˆubh)”}”(hŒlibxfixes-cos7-aarch64”h#Œ5.0.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libxfixes-cos7-aarch64-5.0.3-h9d98e8f_1104.tar.bz2”h+Œ 6c3577ef1f82d81f2268c9e8f37ddb65”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxfixes-cos7-aarch64-5.0.3-h9d98e8f_1104.tar.bz2”h0Œ@0db5953e7c2c43b1f399d6754c43c5abf0a62946132426779d9ea3f012416633”h2NhNh3Œ libx11-cos7-aarch64 >=1.6 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É‡[ohEMP>hFˆubh)”}”(hŒgoogle-cloud-spanner”h#Œ1.19.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0google-cloud-spanner-1.19.3-pyhd8ed1ab_0.tar.bz2”h+Œ 7ee73858f1c0ea804ff6028022995ecc”h.Œ^https://conda.anaconda.org/conda-forge/noarch/google-cloud-spanner-1.19.3-pyhd8ed1ab_0.tar.bz2”h0Œ@a5f88cb5d39f32d4089c2a7248474e07c3c332132502059ed561505aae1b7a52”h2NhNh3(ŒGgoogle-api-core-grpc >=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0”Œ!google-cloud-core >=1.4.1,<3.0dev”Œ$grpc-google-iam-v1 >=0.12.3,<0.13dev”Œgrpcio-gcp >=0.2.2,<1.0dev”Œprotobuf <4.0.0dev”Œpython >=3.4”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØË×Æý¡ËhEJf8 hFˆubh)”}”(hŒ
gin-config”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%gin-config-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 26c9dfe7fcb097d144cb747367ab2aa7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/gin-config-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@71ae6d363f02525b625a50bfe1a5747f9148c73043f7b47d6058f77e93d96ea1”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØuïû ÄœhEMëÄhFˆubh)”}”(hŒ
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GPL (>= 3)”hBŒGPL3”hDGAØd©‡hEJ'† hFˆubh)”}”(hŒ	r-webshot”h#Œ0.5.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-webshot-0.5.4-r42hc72bb7e_1.tar.bz2”h+Œ 5de5ff6bc25704fde50b1b4b89fc229b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-webshot-0.5.4-r42hc72bb7e_1.tar.bz2”h0Œ@d9a37a04f75a597787a185d8c82172b36322d6236b68e385094e008ecc112351”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr”Œ
r-jsonlite”Œ
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pyls-isort”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyls-isort-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 94d7cbf448b661201973b4ade2836274”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyls-isort-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@5098d3ca09cd92fd25f0178e03252e46019f681162ba472c2b56867520d327e2”h2NhNh3Œisort”Œpython >=3.6”Œpython-lsp-server”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ+˜t¼›¦hEM hFˆubh)”}”(hŒsphinxcontrib-apidoc”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒ'sphinxcontrib-apidoc-0.3.0-py_0.tar.bz2”h+Œ ccadc7f5b79632b21b761fcd2509bfe3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-apidoc-0.3.0-py_0.tar.bz2”h0Œ@e61ad939bcd04eedd87487c9c0fee6e178f0f17d4e21e0e48c65f782b21044bd”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÖíƒúÞ—hEMx(hFˆubh)”}”(hŒ	r-effsize”h#Œ0.8.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-effsize-0.8.1-r42hc72bb7e_1.tar.bz2”h+Œ ff100cecb36c6b942a8a61e1d5161ea2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-effsize-0.8.1-r42hc72bb7e_1.tar.bz2”h0Œ@00e24d941c6bcf8b4949dbb3e1ef1dfe577a76e0ef98cdee15146074424ec318”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ…DâMÓhEJÐ2 hFˆubh)”}”(hŒlisc”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒlisc-0.1.1-py_0.tar.bz2”h+Œ d96ab90b954c947c4d6b0d9ba78c4d71”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/lisc-0.1.1-py_0.tar.bz2”h0Œ@837554720279a325789a814401b867c25279cc7e086e5c7542fc72b1cd7d1a47”h2NhNh3(Œbeautifulsoup4”Œlxml”Œnltk”Œnumpy”Œpython >=3.5”Œrequests”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×È ”]VhEM±hFˆubh)”}”(hŒxontrib-xlsd”h#Œ0.1.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'xontrib-xlsd-0.1.2-pyh9f0ad1d_0.tar.bz2”h+Œ a805a527fd4a022353fe2eaab437e1cd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/xontrib-xlsd-0.1.2-pyh9f0ad1d_0.tar.bz2”h0Œ@ffbd8c027b477eef84216553194b2456a353de8338ef24b8f94f6d6c47b28fad”h2NhNh3(Œpython”Œpython-magic”Œwcwidth”Œxonsh”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×à4Œí‘hEMålhFˆubh)”}”(hŒsqlparse”h#Œ0.2.4”h%Œpy_0”h'K hhh(h)hŒsqlparse-0.2.4-py_0.tar.bz2”h+Œ c6fb192ff3f72570b5336029e7297484”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/sqlparse-0.2.4-py_0.tar.bz2”h0Œ@1c7d4ebce887ad296dfa27c397281bac350d37ad9ec7ad0fd31307f4e09e856a”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hEMÜmhFˆubh)”}”(hŒpyuca”h#Œ1.2”h%Œpy_1”h'Khhh(h)hŒpyuca-1.2-py_1.tar.bz2”h+Œ 9fb3535e2c9f59ba17b538ed100f64fe”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/pyuca-1.2-py_1.tar.bz2”h0Œ@bb4c4cec8f64e9dbcf3c9a0eb5583a042cd777b90a1b815ea4010199c9c24d96”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐß~¶VhEJÊÃ hFˆubh)”}”(hŒos-client-config”h#Œ2.1.0”h%Œpy_0”h'K hhh(h)hŒ#os-client-config-2.1.0-py_0.tar.bz2”h+Œ 109aae2b86f8ba65cc6d2a98b58f8f5a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/os-client-config-2.1.0-py_0.tar.bz2”h0Œ@5fd65127fc18784b95ea5ea6d174832f7318e1e2480e04986e8a647de5233dba”h2NhNh3Œopenstacksdk”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×¥;?`r°hEM©hhFˆubh)”}”(hŒr-linselect”h#Œ1.1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-linselect-1.1.3-r42hc72bb7e_2.tar.bz2”h+Œ a69abc863d412cd5103b54e1a362807e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-linselect-1.1.3-r42hc72bb7e_2.tar.bz2”h0Œ@4dc67b2e77f658f37641327c1ae5556c64c3fc723381e620943776cbc76b47f1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-elasticnet”Œr-gtools”Œr-mass”Œ	r-mvtnorm”Œr-pls”Œr-randomforest”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ¢U²=qhEJÕ; hFˆubh)”}”(hŒpyepsg”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒpyepsg-0.4.0-py_0.tar.bz2”h+Œ c3de0e5a1931c6732457300d2832f02f”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pyepsg-0.4.0-py_0.tar.bz2”h0Œ@fb2581c8a56ac969fa4ce3becbbd9e8d3de3510216e79429fe1a0a7331a3a723”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒLGPL-3.0”hDGAÖÿŠÀõÃhEMWOhFˆubh)”}”(hŒr-ggresidpanel”h#Œ0.3.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ*r-ggresidpanel-0.3.0-r40h6115d3f_2.tar.bz2”h+Œ afa398bf59c21947d2e9cba22f72b47c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ggresidpanel-0.3.0-r40h6115d3f_2.tar.bz2”h0Œ@ac56bdcfa68e34c22f84f58037642863dbc7d324e05b386c7b097873abaa6ea0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cowplot”Œ	r-ggplot2”Œr-mass”Œr-plotly”Œ	r-qqplotr”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×­N „jhEJ/w hFˆubh)”}”(hŒr-waffle”h#Œ0.7.0”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ'r-waffle-0.7.0-r40h6115d3f_1002.tar.bz2”h+Œ 0e08b61f18be3c4ec40a86a47ded4551”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waffle-0.7.0-r40h6115d3f_1002.tar.bz2”h0Œ@4039d17c6e697259ebe98bb06e98c29bf59cfb578730dfb8569cbfe851519dab”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-extrafont”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-gtable”Œr-rcolorbrewer”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ºB-hEJÒ% hFˆubh)”}”(hŒr-goric”h#Œ1.1_2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ#r-goric-1.1_2-r36hc72bb7e_0.tar.bz2”h+Œ f8df87c7c04fdfae811baaef88feb3a4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-goric-1.1_2-r36hc72bb7e_0.tar.bz2”h0Œ@47968d504dcf86063b10efe6e09896d1e4e6d5bfcb548e351a32fe7d1293b189”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-matrix”Œ	r-mvtnorm”Œr-nlme”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØoo5‘hhEJ7O hFˆubh)”}”(hŒlibxcb-devel-cos7-ppc64le”h#Œ1.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libxcb-devel-cos7-ppc64le-1.13-h9b0a68f_1105.tar.bz2”h+Œ 65815446cd532b00c796db47456099ec”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxcb-devel-cos7-ppc64le-1.13-h9b0a68f_1105.tar.bz2”h0Œ@23fda726b5e7eb0b3194bc3e72ffccf3bac18d3a18d5d98db5f360a700c061bc”h2NhNh3Œ!libxcb-cos7-ppc64le ==1.13 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŠüïžhEJŸ hFˆubh)”}”(hŒjnbv”h#Œ	2022.1.29”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#jnbv-2022.1.29-pyhd8ed1ab_0.tar.bz2”h+Œ b983335ab5d32943e77eb31f50c9054e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jnbv-2022.1.29-pyhd8ed1ab_0.tar.bz2”h0Œ@670e95d933005bd60393f92b4f2c12ef6823aa270f8bda5e304eee84748bdb1e”h2NhNh3Œnbformat 5.1.3”Œpapermill 2.3.3”Œpython >=3.6”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ}o;wPhEMÎJhFˆubh)”}”(hŒca-certificates-cos6-x86_64”h#Œ	2018.2.22”h%Œhdf0574f_102”h'Kfhhh(h)hŒ:ca-certificates-cos6-x86_64-2018.2.22-hdf0574f_102.tar.bz2”h+Œ b5951b61b20e819d79f13c76a33a8cfa”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/ca-certificates-cos6-x86_64-2018.2.22-hdf0574f_102.tar.bz2”h0Œ@a067fec5a3e87a5d0fa595fc22bded09d36df38bec213fa9682b6c3071d868e3”h2NhNh3Œ"p11-kit-cos6-x86_64 >=0.18.4 *_102”Œ(p11-kit-trust-cos6-x86_64 >=0.18.4 *_102”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Åá Ò^5hEJ” hFˆubh)”}”(hŒr-rpmg”h#Œ2.2_3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-rpmg-2.2_3-r36h6115d3f_0.tar.bz2”h+Œ 9779a570e9e50fe8cc67a78b9df6249b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpmg-2.2_3-r36h6115d3f_0.tar.bz2”h0Œ@963a6ac36c566028ff0b9562dd489b2e3313bddc6b274be061438e2828481322”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×cPŸñ™šhEJ~Q hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpyhd8ed1ab_14”h'Khhh(h)hŒ-fenics-dijitso-2019.1.0-pyhd8ed1ab_14.tar.bz2”h+Œ 96e2fa86d056d70ed8885edda3816af6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-pyhd8ed1ab_14.tar.bz2”h0Œ@c10f15ca36dd31b37e7e7b0cbf67f10fbf44a1dbe24e94386ce31f440c0dc87c”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×÷•l(öhEMè«hFˆubh)”}”(hŒ	pkgconfig”h#Œ1.5.5”h%Œpyhd8ed1ab_4”h'Khhh(h)hŒ$pkgconfig-1.5.5-pyhd8ed1ab_4.tar.bz2”h+Œ 8b714fcb673b50d8a8e4094b6bf80ed6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pkgconfig-1.5.5-pyhd8ed1ab_4.tar.bz2”h0Œ@a1337b36533cb2c15f5714bcc4ada5d1411252753561bb06bd3da4c5785de5df”h2NhNh3Œ
pkg-config”Œpython >=3.3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ×8,|¼jhEM)hFˆubh)”}”(hŒr-optimparallel”h#Œ1.0_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-optimparallel-1.0_2-r41hc72bb7e_1.tar.bz2”h+Œ 7e0074ac16f74cdbeecb89b39646da33”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-optimparallel-1.0_2-r41hc72bb7e_1.tar.bz2”h0Œ@24f1ab9fb57c58205939be9bdac806304027712b2b6fedd9a51e8598af630682”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐÎì“hEJ	T hFˆubh)”}”(hŒr-optimr”h#Œ
2019_12.16”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-optimr-2019_12.16-r36h6115d3f_0.tar.bz2”h+Œ ef6763d95a75a212bacb29fe9068ed23”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimr-2019_12.16-r36h6115d3f_0.tar.bz2”h0Œ@106f3cb2d529f8e072cced3f9366c670bba42d7222d06daf8735423c2b1f3a55”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-numderiv”Œr-optextras”Œr-rcgmin”Œr-rvmmin”Œr-setrng”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×‡é]/hEJà4 hFˆubh)”}”(hŒmolbox”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!molbox-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4f7fa57bebf262e2a06b4242f16eaa90”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/molbox-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2ae026b40d1ea27654e90f15010a555432d35b02106c89763b928c7260f77fec”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒMIT AND BSD-3-Clause”hDGAØ7Š‘±hshEMž1hFˆubh)”}”(hŒr-raters”h#Œ2.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-raters-2.0.2-r41hc72bb7e_1.tar.bz2”h+Œ 002617ad49d5275ed403c02090333c94”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-raters-2.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@36a61bdd205d6cb976442fc2b760f5654dea97a5029cb76bb71257be799dec69”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ(GõÒòhEJS hFˆubh)”}”(hŒr-unireg”h#Œ1.1”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ%r-unireg-1.1-r40hc72bb7e_1003.tar.bz2”h+Œ f77910a3281d66ab4e8127c6196dca3f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-unireg-1.1-r40hc72bb7e_1003.tar.bz2”h0Œ@2d81b529ee2cd5aac1a12711ef5bc8e3970217482bb91c7b7c6cea441ccdff9b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dosefinding”Œr-mass”Œ	r-mvtnorm”Œ
r-quadprog”Œr-sel”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ+Ò"=qhEJo; hFˆubh)”}”(hŒlibthai-cos7-ppc64le”h#Œ0.1.14”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1libthai-cos7-ppc64le-0.1.14-h9b0a68f_1105.tar.bz2”h+Œ 27f9267fa004bee4a81bfbf809e288a2”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-ppc64le-0.1.14-h9b0a68f_1105.tar.bz2”h0Œ@e2730d13f9dde58cc8ae190f75ae68f2441794e7ac3b3b5fe50deba9ecb0889c”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‰æÃ¶FhEJ	‚ hFˆubh)”}”(hŒr-ensmodelvis”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-ensmodelvis-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ af9e521211b8d2f4d5a68a0c89bc8c83”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ensmodelvis-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@88f300dba4de15ab0ae7ce9f60ff7cb99034bd782198fccb875ebde6e6135dac”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œ
r-magrittr”Œr-rlang”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ„Ýâ\hEJFÄ hFˆubh)”}”(hŒatlasclient”h#Œ0.1.7”h%j3G h'K hhh(h)hŒatlasclient-0.1.7-0.tar.bz2”h+Œ 479c31694a26a40e867a7ddf613a2e22”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/atlasclient-0.1.7-0.tar.bz2”h0Œ@0513e23e678b94e5f6b72fe9d5ba3984c8554b221266944eb4d064ad9537decf”h2NhNh3Œclick”Œrequests”Œsix”‡”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×Q4²Ì‹DhEMµghFˆubh)”}”(hŒr-smoothwin”h#Œ3.0.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-smoothwin-3.0.0-r40hc72bb7e_1.tar.bz2”h+Œ 654ee312bf6f407d45d92c42012ea03e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-smoothwin-3.0.0-r40hc72bb7e_1.tar.bz2”h0Œ@566f354792dc8804ac58a684e91f35f078a152d4548616aea54b6a15f12ac885”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-nlme”Œr-rfast”‡”h9hºh@ŒLGPL-2”hBŒLGPL”hDGAØ+:Hå`hEJ hFˆubh)”}”(hŒr-wikidatar”h#Œ2.3.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-wikidatar-2.3.3-r41hc72bb7e_1.tar.bz2”h+Œ 83b97fde5a18ff37b1e0be4be108b5a1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-wikidatar-2.3.3-r41hc72bb7e_1.tar.bz2”h0Œ@1cc3ef3ad227144b4a17ca9f31e05ef5b96da0f4a7335eab96751825f350974a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-dplyr”Œr-hmisc”Œr-httr”Œ
r-jsonlite”Œ	r-pbapply”Œ
r-progress”Œr-readr”Œ	r-stringr”Œr-tibble”Œr-wikidataqueryservicer”Œr-wikipedir”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒÙ‘BñªhEJïÇ hFˆubh)”}”(hŒsphinxcontrib-autoprogram”h#Œ0.1.5”h%Œpy_1”h'Khhh(h)hŒ,sphinxcontrib-autoprogram-0.1.5-py_1.tar.bz2”h+Œ 3b921fd5ef48e80090289c480e330415”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-autoprogram-0.1.5-py_1.tar.bz2”h0Œ@80b1446be0253ed70727f093c3f7572e593a58fb46e1d2c34285bab9ebcae962”h2NhNh3Œpython”Œsix”Œsphinx >=1.2”‡”h9h?h@ŒBSD 2-Clause”hDGAÖÐ®`:¬hEM\"hFˆubh)”}”(hŒlibuuid-cos7-x86_64”h#Œ2.23.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libuuid-cos7-x86_64-2.23.2-h9d98e8f_1104.tar.bz2”h+Œ d9bc2bbc47db859239ff9fb8180929ee”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-x86_64-2.23.2-h9d98e8f_1104.tar.bz2”h0Œ@1052e3a5e867b00bf2a8bf7ddd84f5d4b744a399ada8f31394d40e80a42ed964”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉzVùÛhEM‘9hFˆubh)”}”(hŒr-pathological”h#Œ0.1_2”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ-r-pathological-0.1_2-r40hc72bb7e_1002.tar.bz2”h+Œ b77b17a3090c8365dcdb25a07ee66feb”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pathological-0.1_2-r40hc72bb7e_1002.tar.bz2”h0Œ@ba41ec4d3885bb78c5a95f53fc02a76c090ece99df11d77c0ee7931e6a7dc2fb”h2NhNh3(Œr-assertive.base >=0.0_3”Œr-assertive.files”Œr-assertive.numbers”Œr-assertive.properties”Œr-assertive.reflection”Œr-assertive.strings”Œr-assertive.types”Œr-base >=4.0,<4.1.0a0”Œ
r-magrittr”Œr-plyr”Œ	r-stringi”t”h9hºh@Œ	Unlimited”hBŒOTHER”hDGAØ+þ"°!hEJbF hFˆubh)”}”(hŒmesa-libglapi-cos7-ppc64le”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ7mesa-libglapi-cos7-ppc64le-18.3.4-ha826a6f_1103.tar.bz2”h+Œ aaefce75d62f5200c4960b6432824f3a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-ppc64le-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@15fb1384c6a771d7ad364a5eb9c8f68c4db172b89529aa0224f0216dfed9ed53”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0ÁA%hEM¸µhFˆubh)”}”(hŒlibxt-devel-cos6-x86_64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libxt-devel-cos6-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ 092fc00dac9135e16b5f906d33bacbb3”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos6-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@318a89eed9e5c4886d599b50fe7912f7f885818465d59d45e9236df3c8a40960”h2NhNh3Œ libxt-cos6-x86_64 ==1.1.4 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@_ZhEJš hFˆubh)”}”(hŒ	sadisplay”h#Œ0.4.9”h%Œpy_0”h'K hhh(h)hŒsadisplay-0.4.9-py_0.tar.bz2”h+Œ a33255ecc26d8b054b874258acc917b4”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sadisplay-0.4.9-py_0.tar.bz2”h0Œ@ab9c59f1b224e7000a39a81a12fe21e3470990baeea0a294fd9af1ee53183e77”h2NhNh3Œpython”Œsqlalchemy >=0.5”†”h9h?h@ŒBSD-3-clause”hBŒBSD”hDGA× Ô‹È  hEM‰,hFˆubh)”}”(hŒlibxcomposite-cos7-ppc64le”h#Œ0.4.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libxcomposite-cos7-ppc64le-0.4.4-h9d98e8f_104.tar.bz2”h+Œ 6c1fa994e593250f87ff7ee22539168f”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-cos7-ppc64le-0.4.4-h9d98e8f_104.tar.bz2”h0Œ@d20b8bf766834b6eb241055f6f1dd1cd5ce40e069a5e2d0dc189476c828cb81a”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉxÙÇl‹hEMJhFˆubh)”}”(hŒr-sweidnumbr”h#Œ1.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-sweidnumbr-1.4.2-r41hc72bb7e_1.tar.bz2”h+Œ 0054a95ead6b4dd427507c17abdead2f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sweidnumbr-1.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@d1e0a56a9d34b8094b4e491f3b22ea11059953aca9fe1250ccb85242f8f1b77b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-lubridate >=1.5”Œ	r-stringr”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØ+A¬éÛ#hEJ‘ hFˆubh)”}”(hŒ!xcb-util-image-devel-cos7-ppc64le”h#Œ0.4.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ=xcb-util-image-devel-cos7-ppc64le-0.4.0-h9d98e8f_1104.tar.bz2”h+Œ 468217cb577bfcd21761504a7b0ff9a4”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-devel-cos7-ppc64le-0.4.0-h9d98e8f_1104.tar.bz2”h0Œ@971cc0dd6477aed1dd3dbf376804176b35729ea59b48844dc63939bce42939b8”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”Œ*xcb-util-image-cos7-ppc64le ==0.4.0 *_1104”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ô*Ï\)hEM_7hFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-ppc64le”h#Œ2018.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ>xorg-x11-proto-devel-cos7-ppc64le-2018.4-h9d98e8f_1104.tar.bz2”h+Œ db98fb2029271bdcdca5983f48166128”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-ppc64le-2018.4-h9d98e8f_1104.tar.bz2”h0Œ@cb5d4eb9e74e869da8ffa23564dd84303a75c1c3b1ae52e0fa487bd3fe82cb33”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{‡r-hEJh“ hFˆubh)”}”(hŒr-bradleyterry2”h#Œ1.1_2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ+r-bradleyterry2-1.1_2-r35h6115d3f_0.tar.bz2”h+Œ bed0530327b739d97e90b821cf322429”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-bradleyterry2-1.1_2-r35h6115d3f_0.tar.bz2”h0Œ@c67c457b5ef7f768267ad8ce57ef82d00b51f483f0cf05ff066ad697113adebe”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-brglm”Œr-gtools”Œr-lme4 >=1.0”Œr-qvcalc”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Žkt¼hEJ U	 hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr40hc72bb7e_3”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r40hc72bb7e_3.tar.bz2”h+Œ 3f95cdd2b942e5c54168b2ddbe751c92”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r40hc72bb7e_3.tar.bz2”h0Œ@0893c8561eff45097b077ea072890b7cc9d48caf17005bff2deb8cf571f8cfda”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*Ô#O hEJ™ö hFˆubh)”}”(hŒlibxfixes-devel-cos6-x86_64”h#Œ5.0.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libxfixes-devel-cos6-x86_64-5.0.3-h9b0a68f_105.tar.bz2”h+Œ eccd100d9219398573f8f92e3b58156a”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos6-x86_64-5.0.3-h9b0a68f_105.tar.bz2”h0Œ@5eae3862a6f796d0ea100940402c62e1f0946a34f4ccf0ce2062b1b3e1ef60ec”h2NhNh3Œ#libxfixes-cos6-x86_64 ==5.0.3 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\ ^ffhEMÂ&hFˆubh)”}”(hŒlibxkbcommon-cos7-aarch64”h#Œ0.7.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libxkbcommon-cos7-aarch64-0.7.1-h9b0a68f_105.tar.bz2”h+Œ 8138ec2e2c5aa9808b07dec0c8c3812d”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-cos7-aarch64-0.7.1-h9b0a68f_105.tar.bz2”h0Œ@c2d6371517e02aaa165b8abf4f318c73b592810fbe0652f41ca601c939c2f666”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@V¢MÓhEJÀ hFˆubh)”}”(hŒr-tkrgl”h#Œ0.9”h%Œr35h6115d3f_0”h'K hhh(h)hŒ!r-tkrgl-0.9-r35h6115d3f_0.tar.bz2”h+Œ 6f75d08c10da1ff74aba09f5d32b097c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-tkrgl-0.9-r35h6115d3f_0.tar.bz2”h0Œ@0784e95b7ca60430882a7a22d87b605c85e84e5c80db30070a8978aa3018dffa”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rgl >=0.100.38”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×­nDzáhEM¢khFˆubh)”}”(hŒpyrect”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pyrect-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 176cca5265903aa8448e41aa21b987b4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyrect-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d527f3fc29b41a101fa41eb9e1f2c09d44faf82189a7a4e126f251f88cc74130”h2NhNh3Œpython >=3.0”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÅ}áî—hEM)8hFˆubh)”}”(hŒjupyterlab_powerpoint”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒ(jupyterlab_powerpoint-0.1.0-py_0.tar.bz2”h+Œ 994aab2bee40baca154ed54036b49680”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_powerpoint-0.1.0-py_0.tar.bz2”h0Œ@5c0d0010e61663d4b49461071b4874b34b43a9011f577c0279c161b53fbc7755”h2NhNh3(Œjupyterlab >=1.0.0”Œnbconvert >=5.5.0”Œnbformat >=4.4.0”Œpython >=3.7”Œpython-pptx >=0.6.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×¬VmÚáHhEMê^hFˆubh)”}”(hŒr-logr”h#Œ1.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-logr-1.3.3-r41hc72bb7e_0.tar.bz2”h+Œ 1d7b995729272a8c024ff8a37207c29c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-logr-1.3.3-r41hc72bb7e_0.tar.bz2”h0Œ@7318943d8334a91c5a77e4392114b609b8162e166ac2d059c15f863311ae07a7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-this.path”Œr-withr”‡”h9hºh@ŒCC0”hBŒCC”hDGAØÙ®,ïl‹hEJ;Œ hFˆubh)”}”(hŒr-paco”h#Œ0.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-paco-0.4.2-r42hc72bb7e_1.tar.bz2”h+Œ 41651ba5ca4ce1642b8ebc82dd17723d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-paco-0.4.2-r42hc72bb7e_1.tar.bz2”h0Œ@efce218672c97492a3375f6712059bc6c2cb9a361611aa3fd65a08e412b5ba1a”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-plyr”Œr-vegan >=2.2_0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ>Qn5?hEMçÒhFˆubh)”}”(hŒ
joommfutil”h#Œ0.8.4”h%Œpy_0”h'K hhh(h)hŒjoommfutil-0.8.4-py_0.tar.bz2”h+Œ 4d8f9e525687f5a7ab12d4480c580377”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/joommfutil-0.8.4-py_0.tar.bz2”h0Œ@18529619f5b2565c9cfa36c6db3bbc66eeab68a13e100936a8b3e5aaea622b21”h2NhNh3Œnumpy”Œpytest”Œpython >=3.6”‡”h9h?h@ŒBSD 3-clause”hDGA×Â?üÝ/hEM0hFˆubh)”}”(hŒr-dapr”h#Œ0.0.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-dapr-0.0.3-r36h6115d3f_1.tar.bz2”h+Œ f364a86ed5bb79f80e99755b9f9e808b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dapr-0.0.3-r36h6115d3f_1.tar.bz2”h0Œ@347a46ed763a2ff608b8f915e8ac08b5a83175dd35973a0d80c438fb87b63b7f”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«û™PbNhEJ‹ hFˆubh)”}”(hŒ	r-projmgr”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-projmgr-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ a44f612502a3e61619c2cb2921d8e828”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-projmgr-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@e637707e262ae73846275ff744844986579c291f07bdd5f5320e2d0679ab0308”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gh”Œ
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=hEM %hFˆubh)”}”(hŒpy-solc-ast”h#Œ1.2.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&py-solc-ast-1.2.9-pyhd8ed1ab_0.tar.bz2”h+Œ 0e1c946b89f4f3d81b8c36cf85d2063c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/py-solc-ast-1.2.9-pyhd8ed1ab_0.tar.bz2”h0Œ@273341e4d46715414802f497b405df877adedcb640538b1306e4fcdf53689873”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ@³V~ÙhEM-0hFˆubh)”}”(hŒlibbonobo-cos7-x86_64”h#Œ2.32.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ2libbonobo-cos7-x86_64-2.32.1-ha826a6f_1103.tar.bz2”h+Œ 2495502e4a665d0d8fa2f7f178185408”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-x86_64-2.32.1-ha826a6f_1103.tar.bz2”h0Œ@3b1ede3913c92c9465ddb8b4328678441c4369388b06da189ba1512de7924fa3”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Æ/?¡&éhEJÙ hFˆubh)”}”(hŒ xcb-util-image-devel-cos6-x86_64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<xcb-util-image-devel-cos6-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ 3eea5ec625ec2407b8b8e0c590ef35eb”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-devel-cos6-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@ac5c2a78780d2a111273309125821f8e0f8700728454331f45c39d741d89299b”h2NhNh3Œsysroot_linux-64 2.12.*”Œ)xcb-util-image-cos6-x86_64 ==0.4.0 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØu$ajhEM[7hFˆubh)”}”(hŒr-harrypotter”h#Œ2.1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-harrypotter-2.1.1-r36h6115d3f_1.tar.bz2”h+Œ 296e72edf10ba3294e308322e1f857ff”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-harrypotter-2.1.1-r36h6115d3f_1.tar.bz2”h0Œ@a2c02fcee0dc35fc0f26ba6096f7ea22c04255242bb3cc8200d35481b492a877”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬ˆáó¶hEJ» hFˆubh)”}”(hŒpiexif”h#Œ1.1.3”h%Œpy_2”h'Khhh(h)hŒpiexif-1.1.3-py_2.tar.bz2”h+Œ 1a2badbd2adee986aa7701b07e3410fc”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/piexif-1.1.3-py_2.tar.bz2”h0Œ@ae4f42d8a10715b71475184d0ec4f9ba1003d09aff3121f18f8b2cc36be5b6be”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×š˜®ë…hEMãOhFˆubh)”}”(hŒfunc_timeout”h#Œ4.3.5”h%Œpy_0”h'K hhh(h)hŒfunc_timeout-4.3.5-py_0.tar.bz2”h+Œ 668c99f4673c1c851832438636dde63e”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/func_timeout-4.3.5-py_0.tar.bz2”h0Œ@0694dfe63776839c3c30b2595c68ff425a9ba29e1085140814047ba1315cc784”h2NhNh3Œpython”…”h9h?h@ŒLGPL-3.0”hBŒGPL”hDGA×“”¿ï²hEM§=hFˆubh)”}”(hŒlsstdesc-galsampler”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.lsstdesc-galsampler-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 216637f936a6df787978394e73095fb8”h.Œ\https://conda.anaconda.org/conda-forge/noarch/lsstdesc-galsampler-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@67153abf72b0de43ee9ead7b84cb990f8dea3fe1d08cb7ad9541c2334fc6f21d”h2NhNh3(Œnumba”Œnumpy”Œpython >=3.7”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÇî/´“hEMâ.hFˆubh)”}”(hŒr-ztable”h#Œ0.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ztable-0.2.3-r41hc72bb7e_0.tar.bz2”h+Œ 38a30c3fbc30e07ddbeda3045456cce6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ztable-0.2.3-r41hc72bb7e_0.tar.bz2”h0Œ@1d7a2e847b090686f5e9cd63bf62b3df08360103c270eb9078303bbfe38a5965”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-flextable”Œ
r-magrittr”Œ	r-officer”Œr-rcolorbrewer”Œr-rstudioapi”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØT³ò~éyhEJÛ hFˆubh)”}”(hŒorbit2-devel-cos7-aarch64”h#Œ2.14.19”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6orbit2-devel-cos7-aarch64-2.14.19-h9b0a68f_105.tar.bz2”h+Œ de887b824dcee66f5ffcc110ed958c91”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos7-aarch64-2.14.19-h9b0a68f_105.tar.bz2”h0Œ@37b1a406cba46132b1d654feb575b0166625bdc16e73f3ed90d872fd7c3d8a56”h2NhNh3Œ&glib2-devel-cos7-aarch64 >=2.2.0 *_105”Œ'libidl-devel-cos7-aarch64 >=0.8.2 *_105”Œ#orbit2-cos7-aarch64 ==2.14.19 *_105”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGAØ@_¬n¸RhEJ­¯ hFˆubh)”}”(hŒlibselinux-cos7-aarch64”h#Œ2.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ1libselinux-cos7-aarch64-2.5-ha826a6f_1103.tar.bz2”h+Œ 7193c94d41cfc3cfb5e69faefd0976c2”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-aarch64-2.5-ha826a6f_1103.tar.bz2”h0Œ@ed93fe63b429fea37dbc12737ed494388b3ed30ffee061e7431c7f478babf45f”h2NhNh3Œ"libsepol-cos7-aarch64 >=2.5 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Æ1	ˆ1'hEJ
… hFˆubh)”}”(hŒfreetype-devel-cos7-aarch64”h#Œ2.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4freetype-devel-cos7-aarch64-2.8-h9d98e8f_104.tar.bz2”h+Œ c7be7c6899d995ece9f4c50be20ceffb”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos7-aarch64-2.8-h9d98e8f_104.tar.bz2”h0Œ@49febd976ef7ee8ddef23d8720e1426ae89303804b170a6cff333ed198f2c072”h2NhNh3Œ!freetype-cos7-aarch64 ==2.8 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×Éz#¼¬hEJ•Y hFˆubh)”}”(hŒgridtest”h#Œ0.0.15”h%Œpy_0”h'K hhh(h)hŒgridtest-0.0.15-py_0.tar.bz2”h+Œ 3c6a0c4eb66531a536d6c989ce9ab2fb”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/gridtest-0.0.15-py_0.tar.bz2”h0Œ@892498e993b013ba905520bbef850137644b4b53633ee81d802854e972c64fcf”h2NhNh3Œjson_tricks”Œpyaml”Œ
python >=3”‡”h9h?h@ŒMPL-2.0”hBŒOTHER”hDGA×À+Ë{t¼hEM5ÃhFˆubh)”}”(hŒalsa-lib-devel-cos7-x86_64”h#Œ1.1.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6alsa-lib-devel-cos7-x86_64-1.1.8-h9d98e8f_1104.tar.bz2”h+Œ 4d0d99ffc94aee95afa91bdba5f4dc3f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/alsa-lib-devel-cos7-x86_64-1.1.8-h9d98e8f_1104.tar.bz2”h0Œ@0e42b60deca7a65ff677114504e6599045eb70e6e4d82c1dac416ffd11d25717”h2NhNh3Œ#alsa-lib-cos7-x86_64 ==1.1.8 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É|éäí‘hEJ8 hFˆubh)”}”(hŒr-tarifx”h#Œ1.0.6.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-tarifx-1.0.6.2-r36h6115d3f_0.tar.bz2”h+Œ 265d7bbf7042eb1f66c77cc06c3af0bb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tarifx-1.0.6.2-r36h6115d3f_0.tar.bz2”h0Œ@396fe3276058ad7a50709ff75c7f04055d137527eb0ce322b05b656883d3987c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-plyr”Œ
r-reshape2”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯©äZhEJ‚ˆ hFˆubh)”}”(hŒpkgconfig-cos7-ppc64le”h#Œ0.27.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2pkgconfig-cos7-ppc64le-0.27.1-h9b0a68f_105.tar.bz2”h+Œ 3cb9bc3a0c94798cb1c97b1a17ec845a”h.Œ`https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-ppc64le-0.27.1-h9b0a68f_105.tar.bz2”h0Œ@3712d60f2f5f80d6b152f0f5f22b76b14a261b5768a29171275733731d098d6b”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@‡Ýð£×hEMÜÓhFˆubh)”}”(hŒr-spacyr”h#Œ1.2.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-spacyr-1.2.1-r36h6115d3f_1.tar.bz2”h+Œ f9215c96ebd7d2b70343966057623847”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spacyr-1.2.1-r36h6115d3f_1.tar.bz2”h0Œ@25ab131d26f500d7fab87e53fe239de0360d96ccf25fee12e9159bdeab3a002c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-reticulate >=1.6”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«ç‘%ÂhEJSj hFˆubh)”}”(hŒglib2-devel-cos7-aarch64”h#Œ2.56.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4glib2-devel-cos7-aarch64-2.56.1-hdf0574f_102.tar.bz2”h+Œ c886749c041d0c8f934461dcf219cfb5”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-aarch64-2.56.1-hdf0574f_102.tar.bz2”h0Œ@655c8a536850e2368623ac34becf77d929e2d1d802b9499bf63b59ae3033f62e”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi>+hEJË- hFˆubh)”}”(hŒr-cvauc”h#Œ1.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-cvauc-1.1.4-r42hc72bb7e_1.tar.bz2”h+Œ 0a7bb2af52d20545e145c2261c25f41b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cvauc-1.1.4-r42hc72bb7e_1.tar.bz2”h0Œ@d36923939098c063f370ed7f0e1df5fac1ba2fe1bea76748d019bccbe3e4a635”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-rocr”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÑyn™7LhEJ0 hFˆubh)”}”(hŒr-extremevalues”h#Œ2.3.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-extremevalues-2.3.3-r41hc72bb7e_1.tar.bz2”h+Œ d8ed0c5b7e6c1009ae969abd1d7dbea7”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-extremevalues-2.3.3-r41hc72bb7e_1.tar.bz2”h0Œ@d1c276c0b6b545060d1a079a05a33dfa183c6dd3979ec3dbe3d0385ac22f2cf5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gwidgets2”Œr-gwidgets2tcltk”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ[ÍÒòhEJfb hFˆubh)”}”(hŒdjango-chunked-upload”h#Œ2.0.0”h%Œpy_0”h'K hhh(h)hŒ(django-chunked-upload-2.0.0-py_0.tar.bz2”h+Œ 5c03d76b0b635a2c84f1b6b825d16f6a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/django-chunked-upload-2.0.0-py_0.tar.bz2”h0Œ@c95a65e107e85b0fab6b7c10ea9ee3305d138dd2c80e91b3d86553a94ff7faad”h2NhNh3Œdjango”Œpython”†”h9h?h@ŒMIT-Zero”hBŒMIT”hDGA×}²C³×
hEMJ.hFˆubh)”}”(hŒr-dharma”h#Œ0.4.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-dharma-0.4.6-r42hc72bb7e_1.tar.bz2”h+Œ 71a33012e3478dbd16586b85afa34355”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dharma-0.4.6-r42hc72bb7e_1.tar.bz2”h0Œ@b7f49e410c570147e4d686f3d4447a6005d4f683a937263a398f7e7bd26eae4a”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-doparallel”Œ	r-foreach”Œr-gap”Œr-glmmtmb >=1.0.1”Œr-lme4”Œr-lmtest”Œr-mass”Œr-mgcv”Œr-qgam >=1.3.2”Œ	r-sfsmisc”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÓžzJhEJÛÅ< hFˆubh)”}”(hŒr-flux”h#Œ0.3_0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-flux-0.3_0.1-r41hc72bb7e_0.tar.bz2”h+Œ ceadb76ed5d11accca9d3771179d1702”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flux-0.3_0.1-r41hc72bb7e_0.tar.bz2”h0Œ@6b20a44d9d32b5075780e9fdc3b59df78db93e42cfc27d01df3eaadef0fa1825”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-catools”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ®©ä7\)hEJ6r	 hFˆubh)”}”(hŒmpldatacursor”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(mpldatacursor-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7314f9b5a7999953d08dc91ca006f3cf”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/mpldatacursor-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c984d6e1920757295fadd76f04a337f7b3fac2f7365e781a07e029e9a72fc455”h2NhNh3Œmatplotlib-base >=0.9”Œnumpy >=1.1”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÊ…ÆÒòhEMàVhFˆubh)”}”(hŒ
pybigquery”h#Œ0.5.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ%pybigquery-0.5.0-pyhd3deb0d_0.tar.bz2”h+Œ 71c0135bc4244438a886f5744e572b6f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pybigquery-0.5.0-pyhd3deb0d_0.tar.bz2”h0Œ@3a9925ff3e17341b4f1dce9c5a100784ce55e00cb64bfcab50ccbfc2802bf5ce”h2NhNh3(Œfuture”Œgoogle-cloud-bigquery >=1.6.0”Œpython”Œsqlalchemy >=1.1.9”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ø=÷¯²hEMf7hFˆubh)”}”(hŒr-semnetcleaner”h#Œ1.3.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-semnetcleaner-1.3.4-r42hc72bb7e_1.tar.bz2”h+Œ 4126edb1028e808fe81abdc12eea1861”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-semnetcleaner-1.3.4-r42hc72bb7e_1.tar.bz2”h0Œ@e4a6ca208ae03f437bec58a972e70485e1431e548c2e337b1955add6aa21a15f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-easycsv”Œ
r-editdata”Œ	r-foreign”Œr-miniui”Œ
r-r.matlab”Œr-readxl”Œr-rstudioapi”Œ
r-searcher”Œr-semnetdictionaries >=0.1.8”Œr-shiny”Œr-stringdist”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒÁX  hEJÿð hFˆubh)”}”(hŒjpf”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒjpf-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0d51f28e4c4ac1259d81ce466d3f29b0”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/jpf-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a5cd5e8f297fcf904ac308207044cba0de56feac6e1c2bb9b22ebdbae01f192b”h2NhNh3Œplac >=1.3.5,<2.0.0”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÌ¸FB-hEM!hFˆubh)”}”(hŒpciutils-devel-cos7-aarch64”h#Œ3.5.1”h%Œha826a6f_103”h'Kghhh(h)hŒ6pciutils-devel-cos7-aarch64-3.5.1-ha826a6f_103.tar.bz2”h+Œ cf7080918c3a0fcc1730af9bf3115407”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-aarch64-3.5.1-ha826a6f_103.tar.bz2”h0Œ@d2f5d5ca49a692aed9686b65d4a2ced63953498617fd591dbe4e978abab41eb8”h2NhNh3Œ#pciutils-cos7-aarch64 ==3.5.1 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ{¬:°!hEMMyhFˆubh)”}”(hŒlibxml2-cos6-x86_64”h#Œ2.7.6”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.libxml2-cos6-x86_64-2.7.6-h9d98e8f_104.tar.bz2”h+Œ 35d22209964ee2c8a407a3ea3eb1a5e6”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxml2-cos6-x86_64-2.7.6-h9d98e8f_104.tar.bz2”h0Œ@2f3aa78f8a45d3843347bd24ac01e5c0dc8343b1e1beb2e740a798e6c56d3244”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy­¡G®hEJÑv hFˆubh)”}”(hŒmkdocs-exclude”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)mkdocs-exclude-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 4a0af4399e9b3e4142f3dcabd35b7553”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/mkdocs-exclude-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6484f5a7cf4c54cee4b72d9c35342ff59f7ceae2a69fd688941a0f407a71c144”h2NhNh3Œmkdocs”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ…™–0ÔþhEMm0hFˆubh)”}”(hŒr-fmultivar”h#Œ4021.83”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-fmultivar-4021.83-r41hc72bb7e_1.tar.bz2”h+Œ a5593b9be237273c3c2bb474042dbcff”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fmultivar-4021.83-r41hc72bb7e_1.tar.bz2”h0Œ@9db0cc871eb7a1a170282ce94cd78f6495f360b8e87e1a2b1e09c10debb098dc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-cubature”Œ	r-fbasics”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓXL"°!hEJ°‘ hFˆubh)”}”(hŒepic2cf”h#Œ0.0.5”h%Œpyh24bf2e0_0”h'K hhh(h)hŒ"epic2cf-0.0.5-pyh24bf2e0_0.tar.bz2”h+Œ a1c1d5b29786953c21288a931f896e5a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/epic2cf-0.0.5-pyh24bf2e0_0.tar.bz2”h0Œ@b4c1f0ae61489ebd55fc87e7f6b68d36b4f19e34b588385bfe969cd09d7ec72c”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×(íòeOßhEMébhFˆubh)”}”(hŒr-aws.ec2metadata”h#Œ0.2.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ-r-aws.ec2metadata-0.2.0-r41hc72bb7e_2.tar.bz2”h+Œ 84ae6d3b9b2e5b237299d1daddf8b9e6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-aws.ec2metadata-0.2.0-r41hc72bb7e_2.tar.bz2”h0Œ@2bb47b750dd7c3f8fa41914f065291533e9c8bcd59365206bc11c2c3a2609131”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-curl”Œ
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r-devtools”Œr-dplyr”Œ	r-ggplot2”Œ
r-lazyeval”Œr-lubridate”Œ
r-magrittr”Œ	r-officer”Œr-purrr”Œr-readr”Œr-rvg”Œ	r-stringi”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÁR§PhEJê~ hFˆubh)”}”(hŒafar”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒafar-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6a4aef528f3b16dc8f5d4da317c029e0”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/afar-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d49ce0243e4a75f77f82bc75b2d156d5f5b8391eb93b8665a5fca2ac058f5fb7”h2NhNh3Œdistributed >=2021.9.1”Œ
innerscope”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØU”/i&éhEMíNhFˆubh)”}”(hŒcups-devel-cos6-x86_64”h#Œ1.4.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1cups-devel-cos6-x86_64-1.4.2-h9b0a68f_105.tar.bz2”h+Œ 5a2b893163c23abc613dfce0ef792f3a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos6-x86_64-1.4.2-h9b0a68f_105.tar.bz2”h0Œ@dc50d8caad5dc8faf1d0b2cbabb3b499d0a476b4daac75eb29222f06da12eaf9”h2NhNh3Œ#cups-libs-cos6-x86_64 ==1.4.2 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@XÆOßhEM’åhFˆubh)”}”(hŒ
r-invgamma”h#Œ1.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-invgamma-1.1-r40h6115d3f_1.tar.bz2”h+Œ f1de7808253a673c15dfd21448febdab”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-invgamma-1.1-r40h6115d3f_1.tar.bz2”h0Œ@0047722162c51753f5f9947cd6af192ac48bd02b451e5ef716d70ee45a277eab”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬­d¼jhEM}‚hFˆubh)”}”(hŒr-googlecloudstorager”h#Œ0.7.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ1r-googlecloudstorager-0.7.0-r41hc72bb7e_1.tar.bz2”h+Œ cc7901c4c11c243cb573db5a16a99311”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-googlecloudstorager-0.7.0-r41hc72bb7e_1.tar.bz2”h0Œ@745d3c53ee4376a3f601b99b4adfd3b761c1700c236a9754fa00deaa0a7fa85b”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-googleauthr >=1.0.0”Œr-httr >=1.2.1”Œr-jsonlite >=1.0”Œ	r-openssl”Œr-yaml”Œr-zip >=2.0.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒpiÛ33hEJ£] hFˆubh)”}”(hŒr-roi.plugin.lpsolve”h#Œ1.0_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ0r-roi.plugin.lpsolve-1.0_1-r41hc72bb7e_1.tar.bz2”h+Œ b9e8125a115058776de9cfd68ff77b82”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-roi.plugin.lpsolve-1.0_1-r41hc72bb7e_1.tar.bz2”h0Œ@089f498aa923e9356b0ffffa7974ee2c327873bbcf4403590cbc394fa796ea28”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lpsolveapi >=5.5.2.0_1”Œr-roi >=0.3_0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑLÑ·|îhEM·þhFˆubh)”}”(hŒazure-mgmt-containerservice”h#Œ19.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7azure-mgmt-containerservice-19.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8ea75483d3a0f4588e24f73da45988e2”h.Œehttps://conda.anaconda.org/conda-forge/noarch/azure-mgmt-containerservice-19.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@49c7bea3786dbf42de60e626977c730e02489e9c656be3cfad3fea7d73e87a50”h2NhNh3(Œazure-common >=1.1,<2.0”Œazure-mgmt-core”Œmsrest >=0.5.0”Œmsrestazure >=0.4.32,<2.0.0”Œpython >3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¬¯À§l‹hEJò$	 hFˆubh)”}”(hŒlibx11-common-cos7-ppc64le”h#Œ1.6.7”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5libx11-common-cos7-ppc64le-1.6.7-hdf0574f_102.tar.bz2”h+Œ 093fac4db6b246378033a7718438884a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-ppc64le-1.6.7-hdf0574f_102.tar.bz2”h0Œ@e578568af552fed069231452f2c39bce51b0da0f3171db5025f706a1394eb8f1”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å*êïžhEJž. hFˆubh)”}”(hŒhelpdev”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"helpdev-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 259b9d670f6048d287951577005917f3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/helpdev-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f92a8d57f14d3be7adfb321da1e35590d2c2855d2bd32d21155d896d4386c9db”h2NhNh3Œimportlib-metadata”Œpython >=2.7”†”h9h?h@ŒCC0-1.0”hDGA×ê;ùÛ#hEMÉAhFˆubh)”}”(hŒr-verification”h#Œ1.42”h%Œr351h6115d3f_0”h'K hhh(h)hŒ*r-verification-1.42-r351h6115d3f_0.tar.bz2”h+Œ 10cc2f4962b498a3572483f9d608dfff”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-verification-1.42-r351h6115d3f_0.tar.bz2”h0Œ@10705deddc725ace1ff4fe2ad50aa95d5ed9168524762cb5fb20f9f0a06cb1d2”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-boot”Œr-circstats”Œr-dtw”Œr-fields”Œr-mass”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×	Ñ!)%hEJ\˜ hFˆubh)”}”(hŒcairo-cos7-aarch64”h#Œ1.15.12”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/cairo-cos7-aarch64-1.15.12-h9d98e8f_104.tar.bz2”h+Œ 8db2b19b19e7c841a9010bc0d5a82fb1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/cairo-cos7-aarch64-1.15.12-h9d98e8f_104.tar.bz2”h0Œ@3093c6588e1dac14db63e81fa0a1c0861f8ca1fd59c0235cf4ca90f0ed674b80”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×ÉytÒ-hEJ½Ý hFˆubh)”}”(hŒr-prroc”h#Œ1.3.1”h%Œ	r351_1000”h'Mèhhh(h)hŒr-prroc-1.3.1-r351_1000.tar.bz2”h+Œ 0db40481a78611436dbc7b714fd8e9d6”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-prroc-1.3.1-r351_1000.tar.bz2”h0Œ@d0a799901dff79c479d92e48dfafc1ac192faa2517687442184272338bf4d514”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖû+S¿ÎÙhEJÏ hFˆubh)”}”(hŒr-gamm4”h#Œ0.2_6”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ#r-gamm4-0.2_6-r40hc72bb7e_1.tar.bz2”h+Œ f3f5b99d66d39d365198b43b1b6e60ce”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gamm4-0.2_6-r40hc72bb7e_1.tar.bz2”h0Œ@1044e9ca1fbe508b4669743ef245fad8cb50b5396bcf467218663d2cb6df8ff1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-lme4 >=0.999375_31”Œr-matrix”Œr-mgcv >=1.7_23”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+<.{Æ¨hEJ™ hFˆubh)”}”(hŒsetuptools-github”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,setuptools-github-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3b4cd57ec2e8112ddde12de2d46967c5”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/setuptools-github-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@586ab2dbb682c8e37e5d0c27967cff24f0ece89d2a68adaf0c3ac4b5d849c2f8”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¯høØ´9hEMZhFˆubh)”}”(hŒr-fmultivar”h#Œ4021.83”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-fmultivar-4021.83-r40hc72bb7e_0.tar.bz2”h+Œ a34fd10baa6156fed13dd08ca35bbd7e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fmultivar-4021.83-r40hc72bb7e_0.tar.bz2”h0Œ@ea78321ee028582d2f9ff084cb38e4bcfdb4aecfd47ea1f8ddb4c9baf5ac713e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-cubature”Œ	r-fbasics”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØµn2%OßhEJ’ hFˆubh)”}”(hŒr-nls2”h#Œ0.3_3”h%Œr40ha770c72_0”h'K hhh(h)hŒ"r-nls2-0.3_3-r40ha770c72_0.tar.bz2”h+Œ 2b3f895f7f0306041584c4a448b447e8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-nls2-0.3_3-r40ha770c72_0.tar.bz2”h0Œ@ddbac73c6d582529f79cafcd16ac5cdd02f46324ae7f85f8ea21d87faa90c45f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-proto”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ›èxA©ühEJ; hFˆubh)”}”(hŒr-pathological”h#Œ0.1_2”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ-r-pathological-0.1_2-r35h6115d3f_1001.tar.bz2”h+Œ c9da6ebbd655c086a1e66aac480ca5b8”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pathological-0.1_2-r35h6115d3f_1001.tar.bz2”h0Œ@2bde214e4e921495decf203d17e0786a6d6353db270320afb1d46bbbefa503ec”h2NhNh3(Œr-assertive.base >=0.0_3”Œr-assertive.files”Œr-assertive.numbers”Œr-assertive.properties”Œr-assertive.reflection”Œr-assertive.strings”Œr-assertive.types”Œr-base >=3.5,<3.6.0a0”Œ
r-magrittr”Œr-plyr”Œ	r-stringi”t”h9hºh@Œ	Unlimited”hBŒMIT”hDGA×LÉÝ(r°hEJ¼B hFˆubh)”}”(hŒr-rbison”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-rbison-1.0.0-r41hc72bb7e_0.tar.bz2”h+Œ f571165d3fa3acab2b6bb8bd04e5721a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rbison-1.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@6b0abd3b42f3ca4d4210b6df259070e83afbcb9e86c5c5d3c09c93f52b804258”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.7.4”Œr-data.table”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œr-jsonlite >=1.1”Œ	r-mapproj”Œr-plyr”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÝÏ¾whEJmb hFˆubh)”}”(hŒr-assertive.models”h#Œ0.0_2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ.r-assertive.models-0.0_2-r36h6115d3f_2.tar.bz2”h+Œ 333247a0e543065d4beb15c368acfd3e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-assertive.models-0.0_2-r36h6115d3f_2.tar.bz2”h0Œ@f1852a943d663f80b189edd3c5e03364143a9568ec7eca70c4e8605d796f46d1”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.6,<3.7.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«ý×é‰7hEM•ƒhFˆubh)”}”(hŒr-iterators”h#Œ1.0.14”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-iterators-1.0.14-r41hc72bb7e_1.tar.bz2”h+Œ 774088f2c449de9b334b0fc3f8a427a5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-iterators-1.0.14-r41hc72bb7e_1.tar.bz2”h0Œ@0a852a5e01a115ee94274fe0306402e61ab74c4077ffab8a28ed976dcaa63877”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÐ.‚°bhEJÅz hFˆubh)”}”(hŒ	r-dummies”h#Œ1.5.6”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ%r-dummies-1.5.6-r42hc72bb7e_4.tar.bz2”h+Œ e2952bc3e0b5fd5d7795264f731c1964”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dummies-1.5.6-r42hc72bb7e_4.tar.bz2”h0Œ@1e4a74bcdc9abec90f3ece7e2e1ab327a03969a96beccd57604c5357dbae88f0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ…|ýôhEMˆ¤hFˆubh)”}”(hŒalpha_vantage”h#Œ2.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(alpha_vantage-2.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ d59b3d2dd8cd97114fc288c15fbf811c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/alpha_vantage-2.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b186a803cfe36939e1183facff95759fc7ad8692becac697cc29004d0944e31a”h2NhNh3Œaiohttp”Œpython >=3.4”Œrequests”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ ";¢ñªhEM¤YhFˆubh)”}”(hŒ#xcb-util-keysyms-devel-cos7-aarch64”h#Œ0.4.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ?xcb-util-keysyms-devel-cos7-aarch64-0.4.0-h9d98e8f_1104.tar.bz2”h+Œ 7f9ec8a7ff979a795bdc840bbeb5aaa4”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-devel-cos7-aarch64-0.4.0-h9d98e8f_1104.tar.bz2”h0Œ@ecf82c96de7ceb4822045113da40cd8930d71aa83f9517f202d612905bd25858”h2NhNh3Œsysroot_linux-aarch64 2.17.*”Œ,xcb-util-keysyms-cos7-aarch64 ==0.4.0 *_1104”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ô î—hEM°hFˆubh)”}”(hŒ
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matplotlib”Œpandas”Œpython”Œpython-wget”Œseaborn”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGA×TþvÉhEM_ùhFˆubh)”}”(hŒ	r-tangles”h#Œ0.8.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-tangles-0.8.1-r41hc72bb7e_1.tar.bz2”h+Œ e1290282118cba1a94b6cd18834dbed9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tangles-0.8.1-r41hc72bb7e_1.tar.bz2”h0Œ@9eecb5f81b7755b5da5c9796815bfae6a215d6bbe731ab490f4a372b6ae116fe”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-raster”Œr-sp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑýý×
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ó È“uhEMfÌhFˆubh)”}”(hŒ	notifiers”h#Œ1.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$notifiers-1.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 076dc94889bb257d4ad02fdbaf8e191e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/notifiers-1.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@2d5eb57dd650eb3f8b231c8c4bd1148379633cade39a0a707bc3c86f5687917f”h2NhNh3(Œclick >=8.0.3,<9.0.0”Œjsonschema >=4.4.0,<5.0.0”Œpython >=3.6,<4.0”Œrequests >=2.27.1,<3.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÆsîÙhEM‚ƒhFˆubh)”}”(hŒkepmodel”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#kepmodel-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ bef67005dd460924268f02ece8c9c835”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/kepmodel-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@8d8c5b3c51f0c881fb9823625b1796f840c0dea92bc0e94ccf4939136a821c9b”h2NhNh3(Œkepderiv >=1.0”Œnumpy >=1.16”Œpython >=3.6”Œscipy >=1.2”Œspleaf >=2.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ®à2ô¼jhEMƒhFˆubh)”}”(hŒpipfile”h#Œ0.0.2”h%Œpy_0”h'K hhh(h)hŒpipfile-0.0.2-py_0.tar.bz2”h+Œ fb39c6e8b906e528606cfd0a9185da38”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pipfile-0.0.2-py_0.tar.bz2”h0Œ@8d7eef2d436711fa83aae2f853036c4d55ef9dce6609a00347187b9673361e31”h2NhNh3Œpython”Œtoml”†”h9h?h@ŒBSD or Apache, Version 2.0”hBŒBSD”hEMß)hFˆubh)”}”(hŒr-nada”h#Œ1.6_1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-nada-1.6_1.1-r36h6115d3f_0.tar.bz2”h+Œ be99ae88f0b8635be49bd3f55fe60a51”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nada-1.6_1.1-r36h6115d3f_0.tar.bz2”h0Œ@6176f9d6341d6779aad92560289675aee0f7d5d5388880c91e65e8e1c1ac2d63”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-survival”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×žuxÕhEJÐ‡ hFˆubh)”}”(hŒr-obistools”h#Œ0.0.10”h%Œr42hd8ed1ab_1”h'Khhh(h)hŒ(r-obistools-0.0.10-r42hd8ed1ab_1.tar.bz2”h+Œ 1a6c9a23d86239b6c1abcb46243edc21”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-obistools-0.0.10-r42hd8ed1ab_1.tar.bz2”h0Œ@3d8200eaf4499d3b34b67fb74aef114407c4245a4e3e29088ce78f6fe58638f1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cowplot”Œr-data.tree”Œr-digest”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ	r-leaflet”Œr-maps”Œ
r-rappdirs”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-rmarkdown”Œr-sf”Œr-sp”Œ	r-stringr”Œr-tidyr”Œr-worrms”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒN6Û"ÑhEJÈ hFˆubh)”}”(hŒloopy”h#Œ2020.2.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#loopy-2020.2.1-pyhd8ed1ab_1.tar.bz2”h+Œ 9282823bfecfe3748c33797c57c65239”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/loopy-2020.2.1-pyhd8ed1ab_1.tar.bz2”h0Œ@47b9fde83bd81b53e920f1c260d4d323c769d9d92dd54fd726bde53efe9f64cc”h2NhNh3(Œcgen >=2016.1”Œcodepy >=2017.1”Œcolorama”Œgenpy >=2016.1.2”Œislpy >=2019.1”Œmako”Œnumpy >=1.19”Œpymbolic >=2019.2”Œ
pyrsistent”Œpytest”Œpython >=3.6”Œpytools >=2021.2.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØJŽ|ÌÍhEJ‡V hFˆubh)”}”(hŒr-naepirtparams”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-naepirtparams-1.0.0-r41hc72bb7e_0.tar.bz2”h+Œ 2691b4adca53c7fcfc9ddbed3c7e1069”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-naepirtparams-1.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@f1b48190c574ecfbf3ebccb1273580f9bda561aa52bd7768e12888fb27ef44a0”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ=€-«×
hEJ7) hFˆubh)”}”(hŒr-r.filesets”h#Œ2.15.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-r.filesets-2.15.0-r42hc72bb7e_1.tar.bz2”h+Œ be7111af02c4043e268d38b061d90344”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-r.filesets-2.15.0-r42hc72bb7e_1.tar.bz2”h0Œ@faef442d6305f691fd443afa155effc771214b7ba4079d276da5c289bf5b21e9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest >=0.6.15”Œr-future.apply >=0.1.0”Œr-r.cache >=0.13.0”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.21.0”Œr-r.utils >=2.6.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØÒ/¶ QìhEJÁ	 hFˆubh)”}”(hŒlibsepol-devel-cos7-ppc64le”h#Œ2.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libsepol-devel-cos7-ppc64le-2.5-ha826a6f_1103.tar.bz2”h+Œ 6103773a0c1f9229c63c0e5728205322”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-ppc64le-2.5-ha826a6f_1103.tar.bz2”h0Œ@da3056288971661d02481f1d9a3261fdfd5605e9d11f0b533bc681f0564c053c”h2NhNh3Œ"libsepol-cos7-ppc64le ==2.5 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1“hEM ®hFˆubh)”}”(hŒpyramid_redis_sessions”h#Œ1.0.1”h%Œpy_0”h'K hhh(h)hŒ)pyramid_redis_sessions-1.0.1-py_0.tar.bz2”h+Œ 9c4b85ba764f896bfcec4ed4f971c394”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyramid_redis_sessions-1.0.1-py_0.tar.bz2”h0Œ@6590c8e99891dd156bcd9ac979e6fcf7df16a4a834040ab8229595f5a27919b0”h2NhNh3Œpyramid”Œpython”Œredis-py”‡”h9h?h@ŒBSD”hBŒBSD”hDGA×C†…²-hEMIhFˆubh)”}”(hŒmesa-libegl-cos7-ppc64le”h#Œ18.3.4”h%Œha826a6f_103”h'Kghhh(h)hŒ4mesa-libegl-cos7-ppc64le-18.3.4-ha826a6f_103.tar.bz2”h+Œ fda75637cb23b07abfd148ab21e35c83”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-ppc64le-18.3.4-ha826a6f_103.tar.bz2”h0Œ@1d881b1e272c2ac3b9e4656586b4f3e10c773809b3e6165b11411513e5dbc9fc”h2NhNh3Œ'mesa-libgbm-cos7-ppc64le ==18.3.4 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0Õ¥ãhEJ)Â hFˆubh)”}”(hŒr-alphahull”h#Œ2.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-alphahull-2.5-r40hc72bb7e_0.tar.bz2”h+Œ a7119ac56a33981f7167dfd7296d7361”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-alphahull-2.5-r40hc72bb7e_0.tar.bz2”h0Œ@cbd615b5a5f71bcc3774a7d4bd044edcab0a3bc945ade2028d2dd32cbb6f956d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-interp”Œ	r-r.utils”Œ
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r-reshape2”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+<W„Ý/hEJ”ˆ hFˆubh)”}”(hŒ	nbjuniper”h#Œ0.3.3”h%Œpy_0”h'K hhh(h)hŒnbjuniper-0.3.3-py_0.tar.bz2”h+Œ 9ed507f48fe6d8eb5f5498bf3ee6ec8e”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/nbjuniper-0.3.3-py_0.tar.bz2”h0Œ@826cc9c1237351ba9bc5bb5d26ac81fcacd82fae311bac33645744aad78637d3”h2NhNh3Œmarkdown >=3.2.2,<4.0.0”Œpython >=3.6,<4.0”Œpyyaml >=5.3.1,<6.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ßjj/hEM¡,hFˆubh)”}”(hŒhyram”h#Œ5.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ hyram-5.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ e42fc289e25066feee4c81b67107d1ba”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/hyram-5.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c4188e81cb67402cb46595e35717f2bb3b2b2f01cbb8447485b743a56d6ec4b8”h2NhNh3(Œcoolprop >=6.3”Œmatplotlib-base”Œnumpy”Œpython >3.6,<3.11”Œscipy”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÝS_ùxÕhEJ©ì hFˆubh)”}”(hŒlibnl3-cos6-x86_64”h#Œ3.2.21”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libnl3-cos6-x86_64-3.2.21-h9d98e8f_1104.tar.bz2”h+Œ c0c289e4b682044b519bd381bc7b341a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libnl3-cos6-x86_64-3.2.21-h9d98e8f_1104.tar.bz2”h0Œ@249b804d95c4d17d9dc278b7abf9acc3821215caf4ac160dfc919625d1610015”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Éz{ëC–hEJ}Z hFˆubh)”}”(hŒlibxcursor-cos7-aarch64”h#Œ1.1.15”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libxcursor-cos7-aarch64-1.1.15-h9d98e8f_104.tar.bz2”h+Œ 0b278522d2ff85e8bfdcfd2265a10661”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-aarch64-1.1.15-h9d98e8f_104.tar.bz2”h0Œ@fbd03ba83c6efc37cd57661d4cf48056b64da184114c99e28b76b64e85061068”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|3­ÒòhEMïihFˆubh)”}”(hŒr-mgsub”h#Œ1.7.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-mgsub-1.7.3-r41hc72bb7e_1.tar.bz2”h+Œ c47cf40bc672bc12cae4407f14143ab5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mgsub-1.7.3-r41hc72bb7e_1.tar.bz2”h0Œ@5b4a969d267999117a1c8c358ddc407918575ffa9a2c188f4514824322a307cb”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ÷—%p¤hEM¹hFˆubh)”}”(hŒr-sqn”h#Œ1.0.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-sqn-1.0.6-r40hc72bb7e_0.tar.bz2”h+Œ dbc64e138b7c0a454e24145208af67a0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sqn-1.0.6-r40hc72bb7e_0.tar.bz2”h0Œ@c3ad360a1b6abcef66eb23a687e562206c7e11f06b972b274f97f6aea4db0f46”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mclust >=3.2”Œr-nor1mix >=1.0_7”‡”h9hºh@ŒLGPL (>= 2.0)”hBŒLGPL”hDGAØ¨õ.¸ ÅhEJ*Ç hFˆubh)”}”(hŒnapari-bil-data-viewer”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1napari-bil-data-viewer-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 085cc86a71a9ccd4837a323eab1676ad”h.Œ_https://conda.anaconda.org/conda-forge/noarch/napari-bil-data-viewer-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@50fd4ff4cb0b369c6bc1d2858676149a65fa23192ef4199538e4c9af81d26fb8”h2NhNh3(Œaiohttp”Œbeautifulsoup4”Œ	dask-core”Œfsspec”Œimagecodecs”Œnapari”Œnapari-plugin-engine >=0.1.4”Œpython >=3.8”Œrequests”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ>x&éhEM*,hFˆubh)”}”(hŒfreetype-cos7-aarch64”h#Œ2.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/freetype-cos7-aarch64-2.8-h9d98e8f_1104.tar.bz2”h+Œ 33c9b830826fe3abd5b273df50cd030d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/freetype-cos7-aarch64-2.8-h9d98e8f_1104.tar.bz2”h0Œ@3057f00af50c3a0c7a4731bf704bdf0815f2c8b3880567efe455e489d92d3dda”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×Éyu¡ËhEJ¥ hFˆubh)”}”(hŒr-kpeaks”h#Œ1.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-kpeaks-1.1.0-r36h6115d3f_1.tar.bz2”h+Œ 43a5487984edcb056788ad7071019b71”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-kpeaks-1.1.0-r36h6115d3f_1.tar.bz2”h0Œ@da7c0ccf8e94a079df71b6d5eaa22829f9f2488fbc61ad91d5656fb1cf28088a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«ø‡/hEJ—d hFˆubh)”}”(hŒsemi-ate”h#Œ0.1.29”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$semi-ate-0.1.29-pyhd8ed1ab_0.tar.bz2”h+Œ f746f2f65980d29565715f6ab47dd79a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/semi-ate-0.1.29-pyhd8ed1ab_0.tar.bz2”h0Œ@9d55f58feb12d7428d93ca294c9c5634a04d877eca7d8a3b04f079cd2c9f5b92”h2NhNh3Œpython >=3.7”…”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØ]¬°bNhEJãáá hFˆubh)”}”(hŒtethys_dask_scheduler”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0tethys_dask_scheduler-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3c0a5fcf86fa2ea50195971a60dc397b”h.Œ^https://conda.anaconda.org/conda-forge/noarch/tethys_dask_scheduler-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@432a09d5adc927627b6eb95c3631465911ac58fb6ff586a549104c1fb4d0f958”h2NhNh3Œclick”Œdistributed”Œpython >=3.6”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØkà‡hEM
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r-gwidgets”Œr-rgtk2”t”h9hºh@Œ
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cffconvert”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%cffconvert-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ c176ea2c0ddce632aea4153bc40733d5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/cffconvert-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3db62e63f6e273e0ebbd63891c840a0f30413a05f411adf955a6a369cdad50a8”h2NhNh3(Œclick >=7.0,<9”Œjsonschema >=3.0,<4”Œpykwalify >=1.6”Œpython >=3.6”Œrequests >=2.20,<3”Œruamel.yaml >=0.16.0”t”h9h?h@Œ
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r-powerlaw”h#Œ0.70.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-powerlaw-0.70.6-r41hc72bb7e_1.tar.bz2”h+Œ 6875dec22af97a389b70037ca1d4152d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-powerlaw-0.70.6-r41hc72bb7e_1.tar.bz2”h0Œ@aba73184254c247047ec37e9d62d4b1b9bbb27ceca584221714b2836793c5150”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-pracma”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ+ìB\hEJ²2 hFˆubh)”}”(hŒpyrsr”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pyrsr-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7bebbac434476ecaa83be200420b086a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyrsr-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@48ac9ac5eb933f7989de524eb7c1f31645219e61ba520f62afbb01358abe2f2e”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.6”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¶Ì°!hEJb hFˆubh)”}”(hŒperl-log-log4perl”h#Œ1.56”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ/perl-log-log4perl-1.56-pl5321hd8ed1ab_0.tar.bz2”h+Œ 2c310c7517a8a4bd7d45d6e2a1ae4b70”h.Œ]https://conda.anaconda.org/conda-forge/noarch/perl-log-log4perl-1.56-pl5321hd8ed1ab_0.tar.bz2”h0Œ@bb9b423078554b75f1d354a75488076cde0c484c4d85544ff0f2ab5d39312f5b”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-dbi”Œperl-file-path”‡”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÅ$ut›¦hEJaV hFˆubh)”}”(hŒ	bootstrap”h#Œ4.4.1”h%j3G h'K hhh(h)hŒbootstrap-4.4.1-0.tar.bz2”h+Œ 480879eb659c8f6c6443b69b4d8cb31a”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/bootstrap-4.4.1-0.tar.bz2”h0Œ@1a0357d3952d272de1dc444174bc672309d834cb13e6171d9966590b827ee88c”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×x2ªMÓhEJò7	 hFˆubh)”}”(hŒ
syft-proto”h#Œ0.5.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%syft-proto-0.5.2-pyh9f0ad1d_0.tar.bz2”h+Œ ee2383e4ad106d846ea27553cf0c37cb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/syft-proto-0.5.2-pyh9f0ad1d_0.tar.bz2”h0Œ@dc374732c3a5bab8b612e4984cb5801e6eb4930c2729435f2a10c6db181b77e3”h2NhNh3Œprotobuf >=3.11.1”Œpython”†”h9h?h@ŒApache”hDGA×Ð3©¸õÃhEMephFˆubh)”}”(hŒr-globaloptions”h#Œ0.1.2”h%Œr40_0”h'K hhh(h)hŒ#r-globaloptions-0.1.2-r40_0.tar.bz2”h+Œ 476edb1096063143cbab7deb43afe632”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-globaloptions-0.1.2-r40_0.tar.bz2”h0Œ@a80cf7486840aeba305c904e7afae8f0ce86f0a69450804a11d5cb0b32763da0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒGPL3”hDGA×¸Rv²hEJñ^ hFˆubh)”}”(hŒr-patpro”h#Œ1.1.0”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ(r-patpro-1.1.0-r351h6115d3f_1001.tar.bz2”h+Œ 216db18e933fa6c47838588a83873401”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-patpro-1.1.0-r351h6115d3f_1001.tar.bz2”h0Œ@b07b514f0bfc7bad28d81533706bf01b4f4bd208134e17a273a6d7f5a59690c2”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-rcolorbrewer”Œ
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r-yaimpute”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×­0bQìhEJÄJ
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r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-scales”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+“Ì¥/hEJ|t hFˆubh)”}”(hŒ
r-rcppdate”h#Œ0.0.3”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-rcppdate-0.0.3-r36hc72bb7e_0.tar.bz2”h+Œ 009eee28d363522d961e664bf201fb1b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rcppdate-0.0.3-r36hc72bb7e_0.tar.bz2”h0Œ@531387b05cee4e4d72664b9031fe0b54f7483d100a37d4d07918f3a7e5dd219e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ)J¡Zn˜hEJ hFˆubh)”}”(hŒ	fast-soup”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$fast-soup-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 77e2fd177d8f42857b4293e437cee72d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fast-soup-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ec1b2acd38a6155ff7d61cdcd63dd8c7c6495903165ba8c82ac1e78ceb9ba6bb”h2NhNh3(Œbeautifulsoup4 >=4.3.2,<5.0.0”Œcssselect >=1.0.1,<2.0.0”Œlxml >=4.5.0,<5.0.0”Œpython >=3.6,<4.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÒÅÌ{dZhEMÝ\hFˆubh)”}”(hŒlibxfixes-devel-cos7-x86_64”h#Œ5.0.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ7libxfixes-devel-cos7-x86_64-5.0.3-hdf0574f_1102.tar.bz2”h+Œ c19ca6a5870e9234e9f3e5286e973c2f”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-x86_64-5.0.3-hdf0574f_1102.tar.bz2”h0Œ@515d292e8bb418ce55d77f48704bda317bea826834dfede88987cc294882e2b0”h2NhNh3Œ$libxfixes-cos7-x86_64 ==5.0.3 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ`ŽffhEMb#hFˆubh)”}”(hŒr-glmnetutils”h#Œ1.1.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-glmnetutils-1.1.8-r41hc72bb7e_1.tar.bz2”h+Œ 2bb3291ce6dfc568e1835c6fadc79194”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-glmnetutils-1.1.8-r41hc72bb7e_1.tar.bz2”h0Œ@5326315a8c053883d19a4fff55049ee0675a37e05e145d939d06a590a6703445”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-glmnet”Œr-matrix”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒê÷\)hEJÂà hFˆubh)”}”(hŒstrsimpy”h#Œ0.1.9”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#strsimpy-0.1.9-pyh9f0ad1d_0.tar.bz2”h+Œ 7f34c888317a1353f9f2c288ad67b24c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/strsimpy-0.1.9-pyh9f0ad1d_0.tar.bz2”h0Œ@a1ec25b1b5bb9aafd054abb63f00ae71c942157f398c7274accfa2bcd0b765ec”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×á‡òŸ¾hEMMWhFˆubh)”}”(hŒr-skynet”h#Œ1.4.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-skynet-1.4.3-r42hc72bb7e_1.tar.bz2”h+Œ 4663f9bc3eb89726087c0052cdf80ceb”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-skynet-1.4.3-r42hc72bb7e_1.tar.bz2”h0Œ@50231d5fc5af728220d544a2a2ae1339d79cfa98aa987aaa09dee45a5097be51”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œ	r-ggrepel”Œr-httr”Œr-igraph”Œ	r-leaflet”Œr-maps”Œr-rcurl”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ˜ÿ
=hEJÁ" hFˆubh)”}”(hŒr-jsonvalidate”h#Œ1.3.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-jsonvalidate-1.3.2-r40hc72bb7e_0.tar.bz2”h+Œ adb91b9c8b0950b70335400d470aab9e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-jsonvalidate-1.3.2-r40hc72bb7e_0.tar.bz2”h0Œ@0cc38c4ffeff7a5658adf61e125de5f9771f8056004346e84fa477ee601ad8a8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-v8”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ`¶òñªhEJõì hFˆubh)”}”(hŒdjango-redis-cache”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-django-redis-cache-3.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2f195cfb3ffbd374241731df587464cf”h.Œ[https://conda.anaconda.org/conda-forge/noarch/django-redis-cache-3.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7656033f9e65b95cf234d4571dcc924aa501f67df2b32141086e91ff60d37dbd”h2NhNh3Œdjango”Œpython >=3.6”Œredis-py <4.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŠMó¾$ÝhEM]>hFˆubh)”}”(hŒgoogle-cloud-storage”h#Œ1.19.0”h%Œpy_0”h'K hhh(h)hŒ(google-cloud-storage-1.19.0-py_0.tar.bz2”h+Œ e513ee9aa452578ce8af45af312b0852”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-1.19.0-py_0.tar.bz2”h0Œ@29168f886ec0de66f28ea9c6ed4e04cc1d2915a0e6ee70e4be027998e3c92177”h2NhNh3(Œgoogle-auth >=1.2.0”Œ!google-cloud-core >=1.0.3,<2.0dev”Œgoogle-resumable-media >=0.3.1”Œpython”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×[À:iG®hEMÍhFˆubh)”}”(hŒgconf2-cos7-ppc64le”h#Œ3.2.6”h%Œha826a6f_103”h'Kghhh(h)hŒ.gconf2-cos7-ppc64le-3.2.6-ha826a6f_103.tar.bz2”h+Œ 3e531560338bc864e5cbab2f62908ade”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gconf2-cos7-ppc64le-3.2.6-ha826a6f_103.tar.bz2”h0Œ@22437f731808025c3fd867f7de2e1795cf539ecf65da0241083e328b9da02242”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Æ{#DjhEJå hFˆubh)”}”(hŒr-bridgesampling”h#Œ1.1_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-bridgesampling-1.1_2-r40hc72bb7e_0.tar.bz2”h+Œ e8d743c321df0b585da29d04ba3d3a12”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-bridgesampling-1.1_2-r40hc72bb7e_0.tar.bz2”h0Œ@c9aa8687f4992db9522e7b3871398097a3c28eb6ece7de82e6a4faa8665f6641”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-brobdingnag”Œr-coda”Œr-matrix”Œ	r-mvtnorm”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØW®¥`BhEJSP hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-aarch64”h#Œ1.20.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ@xorg-x11-server-common-cos7-aarch64-1.20.4-h9d98e8f_1104.tar.bz2”h+Œ e7d2f8b85f2425b275868033d6b0f7f0”h.Œnhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-aarch64-1.20.4-h9d98e8f_1104.tar.bz2”h0Œ@4408c61ca017f0301539f503ef8bcda910eb7ab175c6126a7ccf5d77ea245334”h2NhNh3Œ#pixman-cos7-aarch64 >=0.30.0 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|(úÐåhEM…hFˆubh)”}”(hŒ	r-dirmult”h#Œ0.1.3_5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-dirmult-0.1.3_5-r40hc72bb7e_0.tar.bz2”h+Œ 905b03fe89f324134057749567795c72”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dirmult-0.1.3_5-r40hc72bb7e_0.tar.bz2”h0Œ@a1d4fbccfded3b695e5eea2d7072f623179470f300362b23d589c03414205b52”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØŽ%IƒÆ¨hEJ»W hFˆubh)”}”(hŒr-treemapify”h#Œ2.5.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-treemapify-2.5.5-r42hc72bb7e_1.tar.bz2”h+Œ 095b3b27c45a4502dcb3af5826098469”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-treemapify-2.5.5-r42hc72bb7e_1.tar.bz2”h0Œ@aff2efb6226716b8e68a9a3bca581a40c6962902e79d6b24457814d3ccaf96a8”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggfittext >=0.5.0”Œr-ggplot2 >=2.2.1”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÑö ²-hEJ	 hFˆubh)”}”(hŒr-dunn.test”h#Œ1.3.5”h%Œr40_1002”h'Mêhhh(h)hŒ"r-dunn.test-1.3.5-r40_1002.tar.bz2”h+Œ 4b78503feb2158a3a807709286a43c3d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dunn.test-1.3.5-r40_1002.tar.bz2”h0Œ@be553e31e1627993ded03b7e149b31ac31702e5d93359244e000a33ea36963c7”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¬Ü¤Ÿ®hEM`ýhFˆubh)”}”(hŒ	r-rmallow”h#Œ1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-rmallow-1.1-r41hc72bb7e_2.tar.bz2”h+Œ bb101cf9ce1b10a98f48be31342da295”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rmallow-1.1-r41hc72bb7e_2.tar.bz2”h0Œ@3d762757f91f2099d61476ea915a8a050190a9597f6273f482131233fa03ac43”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-combinat”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ×²hEJÚ hFˆubh)”}”(hŒr-widgetframe”h#Œ0.3.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-widgetframe-0.3.1-r36h6115d3f_0.tar.bz2”h+Œ b69a0a55cfe129f06a0947564a8b8be5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-widgetframe-0.3.1-r36h6115d3f_0.tar.bz2”h0Œ@517c45a31347396939d266c33aee4f236a57e1b4124a4748e1a24f5035065941”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÁÐpý²-hEJÞ hFˆubh)”}”(hŒptable”h#Œ0.9.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!ptable-0.9.2-pyhd8ed1ab_1.tar.bz2”h+Œ 3e2c1f7043aaaf55228b6211efe26d8e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ptable-0.9.2-pyhd8ed1ab_1.tar.bz2”h0Œ@54c2a4ea4a88aff416e3a9ea7b33f705c2b818a4173c891f7bc71792c8a8f7cf”h2NhNh3Œpython >=3.4”…”h6Œprettytable >=9999”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‹àÍÒáHhEMx]hFˆubh)”}”(hŒlpips”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ lpips-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 70a736392dd040211dd2082b736c1d4d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/lpips-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c54a39f1bb5c72533fcb3c0c8fd1fed41715cf2e43bc2f2f926d543fef3076db”h2NhNh3(Œjupyter”Œmatplotlib-base >=1.5.1”Œnumpy”Œopencv >=2.4.11”Œpython >=3.6”Œpytorch >=0.4.0”Œscikit-image >=0.13.0”Œscipy”Œtorchvision”Œtqdm >=4.28.1”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ+’Hyë…hEM‡àhFˆubh)”}”(hŒr-tensr”h#Œ1.0.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ&r-tensr-1.0.1-r42hc72bb7e_1003.tar.bz2”h+Œ 6ae67338327f5ff1fa4cb1e9963ffa1a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tensr-1.0.1-r42hc72bb7e_1003.tar.bz2”h0Œ@1bb1ac059975fc3698eac2ab80bb81571ff57e4f114bcb1b9a797f51d9ac1ee4”h2NhNh3Œr-assertthat”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑý§˜ÄœhEJ3 hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpyhd8ed1ab_11”h'Khhh(h)hŒ)fenics-ffc-2019.1.0-pyhd8ed1ab_11.tar.bz2”h+Œ 1e66b92d17868272763fd6e84e017b05”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-pyhd8ed1ab_11.tar.bz2”h0Œ@c2da2fea5d1592179619d45b4cdab0acb7a92e1a477d4311bd9ec981a1c767c5”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×ç¾¾Ý/hEJ~ç hFˆubh)”}”(hŒsphinx-book-theme”h#Œ0.1.10”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-sphinx-book-theme-0.1.10-pyhd8ed1ab_1.tar.bz2”h+Œ 194ec0159031da65b653c665bb1678f6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-0.1.10-pyhd8ed1ab_1.tar.bz2”h0Œ@e968d22bffb57dadb2a985a6e474b3c3fde69c642e5595a59aa5814bab02e9b1”h2NhNh3(Œbeautifulsoup4 >=4.6.1,<5”Œdocutils >=0.15,<0.17”Œ pydata-sphinx-theme >=0.7.2,<0.8”Œpython >=3.7”Œpyyaml”Œsphinx >=3,<5”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØIµl“hEJ©M hFˆubh)”}”(hŒtensorflow-probability”h#Œ0.17.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ2tensorflow-probability-0.17.0-pyhd8ed1ab_1.tar.bz2”h+Œ 40f231daff9cab184da0b4f572a78a63”h.Œ`https://conda.anaconda.org/conda-forge/noarch/tensorflow-probability-0.17.0-pyhd8ed1ab_1.tar.bz2”h0Œ@3f89a2a4bf4959dcded390561cd57f6d336beeef0e523855885b98505787d841”h2NhNh3(Œabsl-py”Œcloudpickle >=1.3”Œ	decorator”Œdm-tree”Œgast >=0.3.2”Œjax >=0.3.13,<0.4.0”Œnumpy >=1.13.3”Œ
python >=3”Œsix >=1.10.0”Œtensorflow-base >=2.9,<2.10”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¼D›°!hEJäc% hFˆubh)”}”(hŒtypes-pathlib2”h#Œ2.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)types-pathlib2-2.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ a71ebb0740f4ae95cf933d2873b3818b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/types-pathlib2-2.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@107cd9a6023d6033c5cd626e289a712e9d723760c4fe2a73647b4f04a7d9f5df”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØJräÝ/hEMi-hFˆubh)”}”(hŒclick-config-file”h#Œ0.6.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ,click-config-file-0.6.0-pyh9f0ad1d_0.tar.bz2”h+Œ 3255d79b9a62534de74b49f136c08fe7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/click-config-file-0.6.0-pyh9f0ad1d_0.tar.bz2”h0Œ@35db29f552774e0f4a6a11723e9d745d951b4980d76c9154c3a74d3d91cd3973”h2NhNh3Œclick >=7.1”Œconfigobj-dev >=2019.9.1”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ªV¦îÈ´hEMþ"hFˆubh)”}”(hŒlibxi-devel-cos7-ppc64le”h#Œ1.7.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libxi-devel-cos7-ppc64le-1.7.9-h9b0a68f_1105.tar.bz2”h+Œ f8190fb2015e87f3081acd1cdfa4ea74”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-ppc64le-1.7.9-h9b0a68f_1105.tar.bz2”h0Œ@0131c034f74599f0058045ff576385f0cf7589c9064f7ba36bd2d4223dba51b6”h2NhNh3Œ!libxi-cos7-ppc64le ==1.7.9 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‘M+hEJJv hFˆubh)”}”(hŒmesa-dri-drivers-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:mesa-dri-drivers-cos7-ppc64le-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ 7624806d41394030a6476d646b63309a”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-ppc64le-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@50af9bb12579d3d01fbb2a3e003b762807225e849e56375c475e90fa984f5b99”h2NhNh3Œ#libdrm-cos7-ppc64le >=2.4.83 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œæ4›¦hEJ¨}ühFˆubh)”}”(hŒr-metacycle”h#Œ1.2.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-metacycle-1.2.0-r36h6115d3f_1.tar.bz2”h+Œ a562f4b957a5f294f5a7883f3a75499e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metacycle-1.2.0-r36h6115d3f_1.tar.bz2”h0Œ@aeaea8e3da27467258f57ec3f769460f599686797373e1d17424304dfba81429”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-gnm”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Pè¯ hEJW‘ hFˆubh)”}”(hŒr-kedd”h#Œ1.0.3”h%Œr41ha770c72_1004”h'Mìhhh(h)hŒ%r-kedd-1.0.3-r41ha770c72_1004.tar.bz2”h+Œ c3d81458fa2916858a42769ad5917cd9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kedd-1.0.3-r41ha770c72_1004.tar.bz2”h0Œ@7aeced50f23f64df7408b52c4aa8076393447ec62081f8f5bd27432dfd28ce53”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*õµtIºhEJ/ê hFˆubh)”}”(hŒr-listviewer”h#Œ3.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-listviewer-3.0.0-r41hc72bb7e_0.tar.bz2”h+Œ e9ca681347643442fdad27b3d435d4fd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-listviewer-3.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@956663beaf8179b06f10fe196e40f9803c8e214d46295af58db8ebe16c076b30”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-htmlwidgets”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¨<1ÊÁhEJÄ hFˆubh)”}”(hŒ	r-shinybs”h#Œ0.61.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-shinybs-0.61.1-r41hc72bb7e_1.tar.bz2”h+Œ 3656f29a8110fdfb5dba291b46907d62”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-shinybs-0.61.1-r41hc72bb7e_1.tar.bz2”h0Œ@d57f6be6c48ac4e24b47f09ca89ed5eb199efbe618b8c1edbc581723cce483fd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-shiny >=0.11”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐÆ÷|îhEJè hFˆubh)”}”(hŒfuncsigs”h#Œ1.0.2”h%Œpy_1”h'Khhh(h)hŒfuncsigs-1.0.2-py_1.tar.bz2”h+Œ 56bb9785c54ce8752a1eda9b6a06d7ec”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/funcsigs-1.0.2-py_1.tar.bz2”h0Œ@c7fed79b9d3f907500900428389a16ef44b719cc8bd334036e6e522cea7b7a4f”h2NhNh3Œpython”…”h9h?h@Œ
Apache 2.0”hEMã4hFˆubh)”}”(hŒ
quart-cors”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒquart-cors-0.2.0-py_0.tar.bz2”h+Œ caed035e7b6ee8cc9594f51b053bfd8e”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/quart-cors-0.2.0-py_0.tar.bz2”h0Œ@c1c9122a58917f3f73cf82f88a2e4ff6357a7402971678cff79a39922aea61c1”h2NhNh3Œpython >=3.6.1”Œquart >=0.6.0”†”h9h?h@ŒMIT”hBŒMIT”hDGA×QÓS­‘hhEMû'hFˆubh)”}”(hŒrb-jekyll-seo-tag”h#Œ2.6.1”h%Œ
hd4c1694_1”h'Khhh(h)hŒ*rb-jekyll-seo-tag-2.6.1-hd4c1694_1.tar.bz2”h+Œ 5a8458062a7578f2e08c7eb4833254c7”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-seo-tag-2.6.1-hd4c1694_1.tar.bz2”h0Œ@39213c5f2ee994a53384f8a94a957067772d26c94e480d7650ec07325ed6bc56”h2NhNh3Œrb-jekyll >=3.3,<5.0”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[	(ß;hEMFhFˆubh)”}”(hŒ	gpaw-data”h#Œ	0.9.20000”h%Œ
hd8ed1ab_2”h'Khhh(h)hŒ&gpaw-data-0.9.20000-hd8ed1ab_2.tar.bz2”h+Œ 2ef1e2fc00b5fb2d50453cefccaa8398”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/gpaw-data-0.9.20000-hd8ed1ab_2.tar.bz2”h0Œ@b879f35888fb2f554cc9923a48f75da8c35e6f5955854c6e9391ca39139f6fcf”h2NhNh3)h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÑÈ	_PhEJ.%hFˆubh)”}”(hŒr-postlogic”h#Œ0.1.0.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-postlogic-0.1.0.1-r36h6115d3f_0.tar.bz2”h+Œ 3668ede9aaf8196419cb9d46e390e778”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-postlogic-0.1.0.1-r36h6115d3f_0.tar.bz2”h0Œ@cc4fb5c4fd4a8129de44ef587d2f69a26e45ef8651826115c501b75fe8afad99”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯*ÎÎ$ÝhEMdhFˆubh)”}”(hŒsphinx”h#Œ5.0.2”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ!sphinx-5.0.2-pyh6c4a22f_0.tar.bz2”h+Œ d4eaa1f50733a377480ce1d5aac556c7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/sphinx-5.0.2-pyh6c4a22f_0.tar.bz2”h0Œ@27fc8d942d1cedba71035399f71e2d81fd411b86c5d8717c813c46143b8d74f8”h2NhNh3(Œalabaster >=0.7,<0.8”Œbabel >=1.3”Œcolorama >=0.3.5”Œdocutils >=0.14,<0.19”Œ	imagesize”Œimportlib-metadata >=4.4”Œjinja2 >=2.3”Œ	packaging”Œpygments >=2.0”Œpython >=3.6”Œrequests >=2.5.0”Œsnowballstemmer >=1.1”Œsphinxcontrib-applehelp”Œsphinxcontrib-devhelp”Œsphinxcontrib-htmlhelp >=2.0.0”Œsphinxcontrib-jsmath”Œsphinxcontrib-qthelp”Œ%sphinxcontrib-serializinghtml >=1.1.5”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ«£Ï
=hEJ¨Á hFˆubh)”}”(hŒr-liftr”h#Œ0.9.2”h%Œr35_1”h'Khhh(h)hŒr-liftr-0.9.2-r35_1.tar.bz2”h+Œ 8afdc420811bb9b1e1b1aa1c7baeea40”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-liftr-0.9.2-r35_1.tar.bz2”h0Œ@109648be055fc510201729ded3e4969a9922f5351d545d299fd9e7bccf009f1a”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-knitr”Œr-rmarkdown”Œr-rstudioapi”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÝpÕ²-hEJz² hFˆubh)”}”(hŒ
qdarkstyle”h#Œ3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#qdarkstyle-3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 902a52c9b7d1977efe99b20763c792e7”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/qdarkstyle-3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c6b0f2818a3ccc20c1317c32bca2007ea25d530f249d4ca4afb5f2ac5940f541”h2NhNh3Œpython >=3.6”Œ
qtpy >=1.9”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥à“uhEJá,	 hFˆubh)”}”(hŒr-coda”h#Œ0.19_4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-coda-0.19_4-r41hc72bb7e_1.tar.bz2”h+Œ 8ff0f03dfd59f3519a204b264aa132f5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-coda-0.19_4-r41hc72bb7e_1.tar.bz2”h0Œ@941489b852ec0f464200e1c81892cdda23bb61ec536e0633d64bfbf4132ef7f4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÐ;äºñªhEJ—4 hFˆubh)”}”(hŒatk-cos7-ppc64le”h#Œ2.28.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ-atk-cos7-ppc64le-2.28.1-ha826a6f_1103.tar.bz2”h+Œ fa250d5f35d7f35a8c7cbd383851af66”h.Œ[https://conda.anaconda.org/conda-forge/noarch/atk-cos7-ppc64le-2.28.1-ha826a6f_1103.tar.bz2”h0Œ@233ad7e24521eb487119db3cdb83db19e5c92f2983a74b4c19e19ad19522e4d7”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/ÎÓohEJhQ hFˆubh)”}”(hŒglib-networking-cos6-x86_64”h#Œ2.28.6.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:glib-networking-cos6-x86_64-2.28.6.1-h9b0a68f_1105.tar.bz2”h+Œ ca39a68ce56eab600b1c90c6366d5973”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/glib-networking-cos6-x86_64-2.28.6.1-h9b0a68f_1105.tar.bz2”h0Œ@d52253ea7c6d469d1040e93a8afe24c65497626c7ebb6ef2c035d93da7e3d0fa”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@WP ÅhEJ hFˆubh)”}”(hŒperl-text-tabs-wrap”h#Œ	2021.0814”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ6perl-text-tabs-wrap-2021.0814-pl5321hd8ed1ab_0.tar.bz2”h+Œ 7036bcc500c95d4fc71b75219e33e34d”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/perl-text-tabs-wrap-2021.0814-pl5321hd8ed1ab_0.tar.bz2”h0Œ@b111970c1a81de70fc98a528c63b51aaa4c611990915c39981dd511c93ad4faf”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÑYB‘™šhEMÉFhFˆubh)”}”(hŒ
r-genetics”h#Œ	1.3.8.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-genetics-1.3.8.1.3-r42hc72bb7e_1.tar.bz2”h+Œ d6694f17d05ae1d9d85866f969f2d04b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-genetics-1.3.8.1.3-r42hc72bb7e_1.tar.bz2”h0Œ@49cd19c2156fe60d082bb4a9a19b26e6f73a5013052b1de763dc000952df8e27”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØ+?7\)hEJô hFˆubh)”}”(hŒlibxinerama-devel-cos7-x86_64”h#Œ1.1.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ9libxinerama-devel-cos7-x86_64-1.1.3-h9b0a68f_1105.tar.bz2”h+Œ 39b081f6cbc790bd950b549fad25ece0”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos7-x86_64-1.1.3-h9b0a68f_1105.tar.bz2”h0Œ@cea09d0d0fdfdaa88acf62d1eb90fff8fe3e9616fef2aa152728469b8b487fda”h2NhNh3Œ&libxinerama-cos7-x86_64 ==1.1.3 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@q;óohEMˆ(hFˆubh)”}”(hŒfontconfig-cos7-x86_64”h#Œ2.13.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3fontconfig-cos7-x86_64-2.13.0-h9b0a68f_1105.tar.bz2”h+Œ 1d82a49c2735d25e32518ad4a064e735”h.Œahttps://conda.anaconda.org/conda-forge/noarch/fontconfig-cos7-x86_64-2.13.0-h9b0a68f_1105.tar.bz2”h0Œ@f307e170f3017e7141d09ce4f7457f9ad3505b08cca5363e6bc589345f8e49db”h2NhNh3Œ!freetype-cos7-x86_64 >=2.8 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGAØ@j‚áHhEJ× hFˆubh)”}”(hŒlibdrm-cos7-aarch64”h#Œ2.4.97”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libdrm-cos7-aarch64-2.4.97-h9d98e8f_104.tar.bz2”h+Œ f1391621fcf296fc707264e8ba3f9f0c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-aarch64-2.4.97-h9d98e8f_104.tar.bz2”h0Œ@267d3b157c24ccc9bc8955567b1e16210829fce4ad7be7646469489615ac5ea9”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éyí”Ý/hEJ« hFˆubh)”}”(hŒlibice-devel-cos7-aarch64”h#Œ1.0.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libice-devel-cos7-aarch64-1.0.9-ha826a6f_1103.tar.bz2”h+Œ 2e2a322ffc09cdf2e29fdd076f375b78”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-aarch64-1.0.9-ha826a6f_1103.tar.bz2”h0Œ@f598accc8f9af7e1a849781ff30cb63e661e575fba281e55037a48ce0fac7f74”h2NhNh3Œ"libice-cos7-aarch64 ==1.0.9 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ| ¬¼jhEM~œhFˆubh)”}”(hŒperl-file-path”h#Œ2.18”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ,perl-file-path-2.18-pl5321hd8ed1ab_0.tar.bz2”h+Œ e13e456f61b8261ba074c0aa93086afe”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/perl-file-path-2.18-pl5321hd8ed1ab_0.tar.bz2”h0Œ@ac7a0e0c36ec199709c8523132ded35efb84941a1a476b271fd25362dfbf5339”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-exporter”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØc€1(ƒhEMnWhFˆubh)”}”(hŒr-aws.signature”h#Œ0.6.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-aws.signature-0.6.0-r41hc72bb7e_1.tar.bz2”h+Œ c018eed6e3a4b907d801d03fba10c7a7”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-aws.signature-0.6.0-r41hc72bb7e_1.tar.bz2”h0Œ@c9fc02baeafe536a4b21c30dd66277a55ce8acf338faef99e320820f3fb67bde”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-digest”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ9ÄäZhEJh hFˆubh)”}”(hŒr-chemometricswithr”h#Œ0.1.13”h%Œr36h6115d3f_1”h'Khhh(h)hŒ0r-chemometricswithr-0.1.13-r36h6115d3f_1.tar.bz2”h+Œ 2c2192ac2b6bba4315a2d4a5891b8e5c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-chemometricswithr-0.1.13-r36h6115d3f_1.tar.bz2”h0Œ@0b7dcfbb1adfdeca908469ec9bd25c42ba67154e63002fc8386fa9531e610733”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-devtools”Œ	r-kohonen”Œr-mass”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M$F­ó¶hEJHi hFˆubh)”}”(hŒ	r-spsutil”h#Œ0.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-spsutil-0.2.2-r42hc72bb7e_1.tar.bz2”h+Œ 0b0550b34ca722fd696509b92847ada2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spsutil-0.2.2-r42hc72bb7e_1.tar.bz2”h0Œ@e82a519e9539a961e6437ad2deff83484c43a9f90c59ee8f7d01d00b591e14cc”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-glue”Œr-httr”Œ
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setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¸XGÙÊÁhEJ•1 hFˆubh)”}”(hŒr-disco”h#Œ0.6”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ!r-disco-0.6-r40hc72bb7e_1.tar.bz2”h+Œ 465cb99e3c826149cd8905dc40787a1e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-disco-0.6-r40hc72bb7e_1.tar.bz2”h0Œ@41b6363aaae5276b67b5f1a95dd6b3141e476055ed5db35f819068ce68de8348”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-rcolorbrewer”Œr-tmod”t”h9hºh@ŒGPL (>= 2.0)”hBŒGPL3”hDGAØ+ÅÐ%OßhEJË hFˆubh)”}”(hŒ
opt_einsum”h#Œ3.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%opt_einsum-3.3.0-pyhd8ed1ab_1.tar.bz2”h+Œ ba523f5bdd2e452e43c73b7e4b928799”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhd8ed1ab_1.tar.bz2”h0Œ@cef46f82bf09e93a5d42356ca7f0f4ec205c79cc9815c9c8f3f071ca33b77da2”h2NhNh3Œnumpy”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¤È’Ÿ¾hEMÞÔhFˆubh)”}”(hŒdjangorestframework-jsonapi”h#Œ6.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6djangorestframework-jsonapi-6.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5adba0846b4aa96527b929748d6bb8f0”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/djangorestframework-jsonapi-6.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f7a0c05e111ba1d8a10339c4d2bfcbd48e091f471d35db42b9866eed8a680250”h2NhNh3(Œdjango >=3.2,<4.2”Œ djangorestframework >=3.13,<3.15”Œinflection >=0.5.0”Œpython >=3.7,<3.11”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÜ§²¨´9hEM@œhFˆubh)”}”(hŒcups-devel-cos7-ppc64le”h#Œ1.6.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2cups-devel-cos7-ppc64le-1.6.3-h9d98e8f_104.tar.bz2”h+Œ 39aa88ced951b832f40220d22db88f42”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos7-ppc64le-1.6.3-h9d98e8f_104.tar.bz2”h0Œ@3d39d8cce29c8a7aa434ae322dc151659aa44911a7362586eb69add30c6bbd71”h2NhNh3Œ$cups-libs-cos7-ppc64le ==1.6.3 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É{#’°!hEMãîhFˆubh)”}”(hŒlibxdamage-cos7-x86_64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libxdamage-cos7-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ f3e9661e1a0e52a406b22f51539f789d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@9db65000075af6c66d620004981c0ce807cda5011d19e3ce4b96c66399a2ee78”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy ÁûçhEMPChFˆubh)”}”(hŒtalipp”h#Œ1.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!talipp-1.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9c63f007b08ddb14f0eb4adb530121f7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/talipp-1.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c0eabb9e23dd4b3e814234321f91826813ba3c6669cb1d12dffa79b2f52c03c5”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÏmõ¡ËhEM)mhFˆubh)”}”(hŒintake-excel”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'intake-excel-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ a8ce419064122a0fc52207eea42347b6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/intake-excel-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@69ceeaa9bbb275e4d9e8b0caf1ba329242e1d33f1905f86b4c5820f3ce207b64”h2NhNh3(Œdask”Œintake”Œpandas”Œpython >=3.6”Œxlrd”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØnS½ó¶hEM_hFˆubh)”}”(hŒvirtualenv-clone”h#Œ0.5.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+virtualenv-clone-0.5.4-pyh9f0ad1d_0.tar.bz2”h+Œ cd63b9b8443d8700791cd82ef02f6162”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/virtualenv-clone-0.5.4-pyh9f0ad1d_0.tar.bz2”h0Œ@0892fe2ee4041b431d1d994f0f65aabdc44bfbf1fc2882f71ef62268eb2f8eac”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA× gèó33hEM?%hFˆubh)”}”(hŒaio-pika”h#Œ6.8.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ#aio-pika-6.8.1-pyh6c4a22f_0.tar.bz2”h+Œ e11fe0dec90da563f67bdfa62f4cf65f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/aio-pika-6.8.1-pyh6c4a22f_0.tar.bz2”h0Œ@3f83100fcd16c7dc887a6df1a600e1922bd8c925145eae934da693f83bb5fe74”h2NhNh3Œaiormq >=3.2.3,<4”Œpython >=3.6”Œyarl”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØzU²hEMB†hFˆubh)”}”(hŒdjango-rest-hooks”h#Œ1.5.0”h%Œpy_1”h'Khhh(h)hŒ$django-rest-hooks-1.5.0-py_1.tar.bz2”h+Œ 6d2e8554306f4873e78f5cdc35bf888d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/django-rest-hooks-1.5.0-py_1.tar.bz2”h0Œ@cc24703928be6fa9170bd86505d54d955164d8b7bb7052eef7e077119f5539a4”h2NhNh3Œdjango >=1.4”Œpython”Œrequests”‡”h9h?h@ŒBSD 3-Clause”hDGAÖÒž¿U?}hEMÀ+hFˆubh)”}”(hŒsegmentation-models-pytorch”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6segmentation-models-pytorch-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ f6acf3903c3308a1c5f5e0a9ec4259eb”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/segmentation-models-pytorch-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ce032b100fd4c5b7e1120e4fb34a39fecb6331253d8913d8e3a18c5e1bcd09b2”h2NhNh3(Œefficientnet-pytorch 0.7.1”Œpillow”Œpretrainedmodels 0.7.4”Œpython >=3.6”Œtimm 0.4.12”Œtorchvision >=0.5.0”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¹÷ôI™šhEM åhFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_8”h'Khhh(h)hŒ fenics-ffc-2019.1.0-py_8.tar.bz2”h+Œ 462013bb09f822127e5e859a1ceeafbe”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_8.tar.bz2”h0Œ@10326770b10f244ed1f2a6d7f54defecf14d2d31f2d11545a5bcc7056f6433b8”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×zHfÚ=qhEJ ä hFˆubh)”}”(hŒlibxkbcommon-devel-cos7-aarch64”h#Œ0.7.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ;libxkbcommon-devel-cos7-aarch64-0.7.1-h9d98e8f_1104.tar.bz2”h+Œ 7001367dc3b05dab80db0f70f2922e9c”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-devel-cos7-aarch64-0.7.1-h9d98e8f_1104.tar.bz2”h0Œ@baa827cd63373e5b777713967b6d688c679c7bf248591999180c0f0c871aba4d”h2NhNh3Œ(libxkbcommon-cos7-aarch64 ==0.7.1 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ôô(öhEMÞhFˆubh)”}”(hŒr-ggparallel”h#Œ0.2.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ+r-ggparallel-0.2.0-r36h6115d3f_1002.tar.bz2”h+Œ 5d5557d3701561e237ab59afe15476ec”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ggparallel-0.2.0-r36h6115d3f_1002.tar.bz2”h0Œ@3b6deaac43d3abfb4571490cb61d4ff87415d3c1310c053081afc39bb100180d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=2.2.0”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×M mÒòhEJ:- hFˆubh)”}”(hŒ
docker-map”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒdocker-map-1.0.0-py_0.tar.bz2”h+Œ 4ab63f9323579c7e441a43db45d09e1d”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/docker-map-1.0.0-py_0.tar.bz2”h0Œ@7e4184d6fb496e6b0349ddb6c5bbaefd16025581ab9ae4224f7416c99e504538”h2NhNh3Œ	docker-py”Œpython”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×R´ºƒ÷ÏhEJúj hFˆubh)”}”(hŒr-emdist”h#Œ0.3_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-emdist-0.3_2-r41hc72bb7e_1.tar.bz2”h+Œ a998b3317cd43be1ff1ea5055656b781”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-emdist-0.3_2-r41hc72bb7e_1.tar.bz2”h0Œ@4cbcf809012af16bcd9d9577a043a86755b699e293938ff38dac1416c433e955”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ…	D‹DhEMz†hFˆubh)”}”(hŒr-slim”h#Œ0.1.1”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ&r-slim-0.1.1-r351h6115d3f_1000.tar.bz2”h+Œ a3c0042482518d026b9a95ced8f7c8ec”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-slim-0.1.1-r351h6115d3f_1000.tar.bz2”h0Œ@bda929abf11d26c7d4b3e66ad1247a299ebb3265fc5503377142b76ef6573d94”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-data.table >=1.9.6”Œr-mass >=7.3”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖýGm¥p¤hEJ÷M hFˆubh)”}”(hŒvollseg”h#Œ5.8.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"vollseg-5.8.4-pyhd8ed1ab_0.tar.bz2”h+Œ 6ad4f1fb620ce80f6c8f16371fc8fe0d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/vollseg-5.8.4-pyhd8ed1ab_0.tar.bz2”h0Œ@f8bb473230440cd406870275e84f73d9fddadddcf49e3b0245e71002249a7808”h2NhNh3(Œcsbdeep”Œdiplib-python”Œmatplotlib-base”Œnapari”Œpandas”Œpython >=3.7”Œscipy”Œstardist >=0.7.0”Œ
tensorflow”Œtifffile”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÐêvvÉhEJ»8ÔhFˆubh)”}”(hŒbioservices”h#Œ1.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'bioservices-1.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ bdc89cd6f341140401e236ee7b578c61”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/bioservices-1.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c4fbec878d610e2d99f82a84ecade5e05880bfeb93800e69bd3ce0c8b4b1f9ed”h2NhNh3(Œappdirs”Œbeautifulsoup4”Œcolorlog”Œeasydev >=0.9.36”Œ	grequests”Œlxml”Œpandas”Œpython >=3.6”Œrequests”Œrequests_cache”Œsuds-community”Œwrapt”Œ	xmltodict”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ¶w(vVhEJ1˜ hFˆubh)”}”(hŒr-captioner”h#Œ2.2.3”h%Œr35h6115d3f_1003”h'Mëhhh(h)hŒ*r-captioner-2.2.3-r35h6115d3f_1003.tar.bz2”h+Œ 236bca53690e2c2494398c085c462789”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-captioner-2.2.3-r35h6115d3f_1003.tar.bz2”h0Œ@3418fec77cc81b11914b0518eeacfb5224a0b2dc52152fa7f5fe5f2a1e6c8e1e”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×M%iiÊÁhEM¿”hFˆubh)”}”(hŒlibxrandr-cos7-aarch64”h#Œ1.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libxrandr-cos7-aarch64-1.5.1-h9b0a68f_1105.tar.bz2”h+Œ 612832c5a2743231579869513a69067e”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-aarch64-1.5.1-h9b0a68f_1105.tar.bz2”h0Œ@d05e250d6d6bba024688b651202bb76c5979ff153dfa1c3508a53e932b1df3ae”h2NhNh3Œ"libx11-cos7-aarch64 >=1.6.0 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‘Ô9XhEMZbhFˆubh)”}”(hŒ
r-hypergeo”h#Œ1.2_13”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ*r-hypergeo-1.2_13-r41hc72bb7e_1002.tar.bz2”h+Œ d84129513b06fad035a3e25445a01113”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-hypergeo-1.2_13-r41hc72bb7e_1002.tar.bz2”h0Œ@e0960029d06399fe0b977677a23901680d136df7576420e6e2189e90f049ae29”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-contfrac >=1.1_9”Œ	r-desolve”Œr-elliptic >=1.3_5”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*çi(bhEJã¬ hFˆubh)”}”(hŒ
r-multiroc”h#Œ1.1.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ)r-multiroc-1.1.1-r41hc72bb7e_1003.tar.bz2”h+Œ 6f7597054488602eb5148d0d22a440c5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r41hc72bb7e_1003.tar.bz2”h0Œ@7b0d220e120ec9180aaba1ed4a71b48c4f662d98124bdd78046a4183dbbc2cb6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œ
r-magrittr”Œr-zoo”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒLËU?}hEJÊ( hFˆubh)”}”(hŒr-kaos”h#Œ0.1.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-kaos-0.1.2-r35h6115d3f_0.tar.bz2”h+Œ 272c4ef34c4a117e95a5407062f326fc”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-kaos-0.1.2-r35h6115d3f_0.tar.bz2”h0Œ@5d85f3f7d23a542db080589955dcec3094bdfc5ba6eec4443defbd6a88b48c72”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œ
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pyfpgrowth”h#Œ1.0”h%Œpy_0”h'K hhh(h)hŒpyfpgrowth-1.0-py_0.tar.bz2”h+Œ 84e4a7478ad471a7ef5baf36a6b6f788”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pyfpgrowth-1.0-py_0.tar.bz2”h0Œ@43ab0ce68f2a30ea0a477e85520afeae827c25f0340feef033a160382cec129c”h2NhNh3Œpython”…”h9h?h@ŒISC”hEMÎ hFˆubh)”}”(hŒ
r-xlsxjars”h#Œ0.6.1”h%Œr35h6115d3f_2”h'Khhh(h)hŒ&r-xlsxjars-0.6.1-r35h6115d3f_2.tar.bz2”h+Œ 7948a706c335ed5646bf755a75dbe415”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xlsxjars-0.6.1-r35h6115d3f_2.tar.bz2”h0Œ@7e61519a62a8b82592fb7a03627abac93f3abf5b23867dd49751d2168caadc4a”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LW®C–hEJ½½ hFˆubh)”}”(hŒ	r-dinamic”h#Œ1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-dinamic-1.0-r41hc72bb7e_0.tar.bz2”h+Œ c0b18fb66ed82cf9a6a61668c9d67248”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dinamic-1.0-r41hc72bb7e_0.tar.bz2”h0Œ@c9c025f009cf2426b768ad749b87b6af2165b95621b037ae2f45818e30398f37”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¼6	ÃçmhEJÐ hFˆubh)”}”(hŒ	r-debugme”h#Œ1.1.0”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ(r-debugme-1.1.0-r41hc72bb7e_1004.tar.bz2”h+Œ 3c7f53afcaa00461c2b95488b53009be”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-debugme-1.1.0-r41hc72bb7e_1004.tar.bz2”h0Œ@b3676b7371a35443ea38a80daecffefeb3a6dd3827312a6b2478e3d5ddd200b2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-crayon”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ3:ÒòhEJ÷Ã hFˆubh)”}”(hŒr-dynamictreecut”h#Œ1.63_1”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ0r-dynamictreecut-1.63_1-r40hc72bb7e_1004.tar.bz2”h+Œ 60e36590a0a568a7f286eb3eb579ce38”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-dynamictreecut-1.63_1-r40hc72bb7e_1004.tar.bz2”h0Œ@843bc83a83a973b8b6c785d5149ea648f114a5db1fd58e99c7f9a3b18a1e0a96”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØtˆÌ!hshEJ«™ hFˆubh)”}”(hŒr-ibd”h#Œ1.5”h%Œr35h6115d3f_1”h'Khhh(h)hŒr-ibd-1.5-r35h6115d3f_1.tar.bz2”h+Œ 53de9a02ea9dac2ce03cf99d17153789”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ibd-1.5-r35h6115d3f_1.tar.bz2”h0Œ@50b649612607eef22f4876c665e569365924fe8dccec0451b6e84d3542f6aefc”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-car”Œ	r-emmeans”Œ	r-lpsolve”Œ
r-multcomp”t”h9hºh@Œ
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md-environ”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%md-environ-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 277d53b663129b91c4ad7f121661eba8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/md-environ-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@99d1d3dc2fc76946712452583ab4522f7c938d39139a47104c9e5229a06486ac”h2NhNh3Œmarkdown”Œpython >=3.6”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØs[‚å`hEMµPhFˆubh)”}”(hŒmkdocstrings-python-legacy”h#Œ0.2.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ5mkdocstrings-python-legacy-0.2.3-pyhd8ed1ab_1.tar.bz2”h+Œ 6b12bfe3fcda5ca23abfd409a1fe97b5”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mkdocstrings-python-legacy-0.2.3-pyhd8ed1ab_1.tar.bz2”h0Œ@19264d672fa4564b8313d07780b2b4bd994099b51e6f5ba1f17c2d378764a860”h2NhNh3Œmkdocstrings >=0.19”Œpython >=3.7”Œpytkdocs >=0.14”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥[Ò bNhEMËOhFˆubh)”}”(hŒqueuelib”h#Œ1.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#queuelib-1.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ 91fd2886188996e993caa24a17472314”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/queuelib-1.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@4da97c3dc97c60576f8f6b9bd638afeea989d0ca6c6130a874fa5d067af3e1b2”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØIïmÅp¤hEMœ8hFˆubh)”}”(hŒgconf2-cos6-x86_64”h#Œ2.28.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.gconf2-cos6-x86_64-2.28.0-h9b0a68f_105.tar.bz2”h+Œ 9f94f2080fde942e202a98f0f48b8bfc”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gconf2-cos6-x86_64-2.28.0-h9b0a68f_105.tar.bz2”h0Œ@505f8b63a2ee833200ddbfa715ebdfedc84da6df5989f6a9b2dfd475ae291240”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@U‚–‡+hEJa¯ hFˆubh)”}”(hŒtorch-complex”h#Œ0.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(torch-complex-0.4.3-pyhd8ed1ab_0.tar.bz2”h+Œ 5c9b9f0053e7b40c996792b84ae7d346”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/torch-complex-0.4.3-pyhd8ed1ab_0.tar.bz2”h0Œ@61c26b674cf11a776733516d54ea26851c4dd42eb8fd1bb572914d9d871791dd”h2NhNh3Œnumpy”Œpython >=3.6”Œpytorch”‡”h9h?h@Œ
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r-markdown”Œ	r-stringi”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØg$³Ó"ÑhEJ¹ë hFˆubh)”}”(hŒr-leaflet.extras”h#Œ1.0.0”h%Œr40h6115d3f_1004”h'Mìhhh(h)hŒ/r-leaflet.extras-1.0.0-r40h6115d3f_1004.tar.bz2”h+Œ fd26e7a7a16d4f7a985a63f1482b16d3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-leaflet.extras-1.0.0-r40h6115d3f_1004.tar.bz2”h0Œ@396b49892292fa4070cab7e313f824c86cddd1b666b8873307e87a2ebf7cd9bb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet >=2.0.0”Œ
r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬ŽNó¶hEJ{~ hFˆubh)”}”(hŒr-ggdark”h#Œ0.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-ggdark-0.2.1-r42hc72bb7e_1.tar.bz2”h+Œ f0e58e67404a5f79422bf691b2600a97”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggdark-0.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@b50f979759c36b1a32d56739797701a300b5a13235fcb1afc93db4c9fd002d94”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒwz¦{hEJŠ£ hFˆubh)”}”(hŒlibnl-devel-cos7-ppc64le”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libnl-devel-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h+Œ 6f85026661bf2c7599c66c017fa87256”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@e1959c9face68ae82a4186d5615560d602e4fbfa15b248d3c384b107f2ccea94”h2NhNh3Œ libnl-cos7-ppc64le ==1.1.4 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÉzÈ›•hEJŒú	 hFˆubh)”}”(hŒkernel-headers-cos6-x86_64”h#Œ2.6.32”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6kernel-headers-cos6-x86_64-2.6.32-h9d98e8f_104.tar.bz2”h+Œ 5cb4d1c09aec7a9d9914f1f6080e0e7c”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos6-x86_64-2.6.32-h9d98e8f_104.tar.bz2”h0Œ@71128430c9e016a82b92a06f47a24037b2703acafb4c8dd56a752960346697d8”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Éyse`BhEJbè
 hFˆubh)”}”(hŒfont-ttf-ubuntu”h#Œ0.83”h%Œ
hab24e00_0”h'K hhh(h)hŒ'font-ttf-ubuntu-0.83-hab24e00_0.tar.bz2”h+Œ 19410c3df09dfb12d1206132a1d357c5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-hab24e00_0.tar.bz2”h0Œ@470d5db54102bd51dbb0c5990324a2f4a0bc976faa493b22193338adb9882e2e”h2NhNh3)h9hºh@ŒUbuntu Font Licence Version 1.0”hBŒOther”hDGA×Y_²)XhEJ?í hFˆubh)”}”(hŒr-nistunits”h#Œ1.0.1”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ*r-nistunits-1.0.1-r41hc72bb7e_1004.tar.bz2”h+Œ 9d5a31218b5225a8d3c5e36bddf7335a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-nistunits-1.0.1-r41hc72bb7e_1004.tar.bz2”h0Œ@020da34a881b6f24885c360342418fe42f73d08472eb2bc9c113cd0b2e466641”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ&žÍ`BhEJN@ hFˆubh)”}”(hŒr-fresh”h#Œ0.2.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ#r-fresh-0.2.0-r36hc72bb7e_0.tar.bz2”h+Œ 59eb694865116b44bda44e82db468673”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fresh-0.2.0-r36hc72bb7e_0.tar.bz2”h0Œ@a24c1b2dabac36ff20a6807f6bc491e775d6d97c838953c536fa41119435a832”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools”Œr-rstudioapi”Œr-sass”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØJqÆE¢hEJ% hFˆubh)”}”(hŒr-r6”h#Œ2.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ r-r6-2.5.1-r40hc72bb7e_0.tar.bz2”h+Œ e98782f5f752a6d51076239333ed64c3”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-r6-2.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@c0eb4f17ab68ad71866df7dd225df12b75d063bbfd26e591c7dcee58831c4ae1”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØG¥`ÄœhEJ4d hFˆubh)”}”(hŒconstruct-typing”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+construct-typing-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ ace7b063fd6632dc88e6369cc0111bfb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/construct-typing-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@fc1dce3c9189b4b3827c7f1da8a349384163a0fbe57e592b979965201b8821ad”h2NhNh3Œconstruct 2.10.67”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ_+\¿PhEMVhFˆubh)”}”(hŒr-learnbayes”h#Œ2.15.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ,r-learnbayes-2.15.1-r41hc72bb7e_1002.tar.bz2”h+Œ a79673c6ade982ecacf65054385897a1”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-learnbayes-2.15.1-r41hc72bb7e_1002.tar.bz2”h0Œ@e0fa7288e557187d4fd810a13b5426d52af93303f3da94c372c1432b3786875f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*ÙÝ5¸hEJ^› hFˆubh)”}”(hŒlibnl-devel-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libnl-devel-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h+Œ a1c3c55214c817760d66d352ba58e867”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h0Œ@3e29f91163df469286267112ee2af4a3d19b8d021f5c5110d084e978e3060645”h2NhNh3Œ!libnl-cos7-ppc64le ==1.1.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ2_Ÿ¾whEJ+ü	 hFˆubh)”}”(hŒ
eulexistdb”h#Œ0.21.1”h%Œpy_2”h'Khhh(h)hŒeulexistdb-0.21.1-py_2.tar.bz2”h+Œ ebd5b2d85494801f26cd5aeeb05d47e0”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/eulexistdb-0.21.1-py_2.tar.bz2”h0Œ@f45f045999034b2ef8e23dc0034c0a64d8ccbab340d28032639b81c108a8b4bc”h2NhNh3Œeulxml”Œpython”Œrequests”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÖÔ$nhEMÒ¶hFˆubh)”}”(hŒr-chorddiag”h#Œ0.1.3”h%Œr42ha770c72_2”h'Khhh(h)hŒ'r-chorddiag-0.1.3-r42ha770c72_2.tar.bz2”h+Œ fa896f5181e0542fe747a32068fc57d5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-chorddiag-0.1.3-r42ha770c72_2.tar.bz2”h0Œ@2123b8f3cf10c2ade75db196855eddd5d31812ada9cd60032b564cf142a71e0d”h2NhNh3(Œopenjdk”Œr-base >=4.2,<4.3.0a0”Œr-htmlwidgets”Œr-rcolorbrewer”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯Sâ¬hEJíÛ hFˆubh)”}”(hŒr-assertive.strings”h#Œ0.0_3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ2r-assertive.strings-0.0_3-r42hc72bb7e_1004.tar.bz2”h+Œ 9b357756a520b1f2f81d6467cac81960”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.strings-0.0_3-r42hc72bb7e_1004.tar.bz2”h0Œ@97be4cef91a5c9718f7c85b1a4c9bd1a2e798547c642cf41c6b9ca8425f31642”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=4.2,<4.3.0a0”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐ¿Æ5?hEJAM hFˆubh)”}”(hŒr-exposition”h#Œ2.8.23”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-exposition-2.8.23-r36h6115d3f_1.tar.bz2”h+Œ da66f5a5b0b81ce1cc14e7828ca5961e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-exposition-2.8.23-r36h6115d3f_1.tar.bz2”h0Œ@a67935eef692804158c6162c3ae9ddc459658e13ddb5aaf113915cb69fcd6942”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-prettygraphs >=2.1.4”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L€nW
=hEJ2 hFˆubh)”}”(hŒ
r-cranlogs”h#Œ2.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-cranlogs-2.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 25c656f890229e6c0dd26b3e762d00be”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cranlogs-2.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@b426843088f49ed1ee390beb2e17d5fa58d2088d6b82957210313ca953e60225”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+,/~—hEMð{hFˆubh)”}”(hŒcmiles”h#Œ0.1.6”h%Œ
h694c41f_1”h'Khhh(h)hŒcmiles-0.1.6-h694c41f_1.tar.bz2”h+Œ ea2212bd5739483daff245eb56b74cb0”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cmiles-0.1.6-h694c41f_1.tar.bz2”h0Œ@fbf2cafd21a7de5a3663c745e100908a164b3a880cf0f3842240af880af52e5f”h2NhNh3Œcmiles-base >=0.1.6,<0.1.7.0a0”Œrdkit”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ïRLr°hEMáhFˆubh)”}”(hŒr-naivebayes”h#Œ0.9.7”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-naivebayes-0.9.7-r41hc72bb7e_1.tar.bz2”h+Œ 0cdcf5a8a31beebf66872581e85ecccd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-naivebayes-0.9.7-r41hc72bb7e_1.tar.bz2”h0Œ@199f8e7dc718be49f782f2e67c28f29097ac64eacc3eb370280651c42b0a2c51”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+o'|îhEJ:ä hFˆubh)”}”(hŒ"xorg-x11-server-common-cos6-x86_64”h#Œ1.17.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ?xorg-x11-server-common-cos6-x86_64-1.17.4-ha826a6f_1103.tar.bz2”h+Œ 7c4b3d5c0c68abddfed0077c227e6684”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos6-x86_64-1.17.4-ha826a6f_1103.tar.bz2”h0Œ@3addf7acda9b17216eb364e802748baa81aff3d22fb8f83d3718d03e99f8fec0”h2NhNh3Œ"pixman-cos6-x86_64 >=0.30.0 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1©j^5hEM½„hFˆubh)”}”(hŒlibxkbcommon-cos7-x86_64”h#Œ0.7.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libxkbcommon-cos7-x86_64-0.7.1-h9d98e8f_1104.tar.bz2”h+Œ 6a7ca9f11134b19867567ab3bfbbfcab”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-cos7-x86_64-0.7.1-h9d98e8f_1104.tar.bz2”h0Œ@6887d3dccfa2179bbfbdb4db81d9f09ac0278d91a5eb696833441e2c9db7476e”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓŸÀ1'hEJëþ hFˆubh)”}”(hŒr-xmlschema”h#Œ0.8”h%Œr36_1002”h'Mêhhh(h)hŒ r-xmlschema-0.8-r36_1002.tar.bz2”h+Œ 479c3b02b7a711d3b53ccebdead88738”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-xmlschema-0.8-r36_1002.tar.bz2”h0Œ@d71f71b9d115d1b2a4c564edbd48b52240cf2c8d8169f20171b8e3a6074da791”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-codetools”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0”hDGA×¬ñ9AÊÁhEJþ hFˆubh)”}”(hŒ
r-subspace”h#Œ1.0.4”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-subspace-1.0.4-r36h6115d3f_0.tar.bz2”h+Œ 1a61f830045b7e5f7a394b696b8f64fc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-subspace-1.0.4-r36h6115d3f_0.tar.bz2”h0Œ@7d0eb34b5a304c2a3b9adc1aaac896d3f43192b76c9a6fcc036018981858a4b8”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-colorspace >=1.0”Œr-ggvis >=0.4.2”Œr-rjava >=0.9”Œr-stringr >=1.0.0”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×S¦V3çmhEJIyA hFˆubh)”}”(hŒr-lmvar”h#Œ1.5.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-lmvar-1.5.2-r42hc72bb7e_1.tar.bz2”h+Œ cc056c4688399bac1e1d36dc062c86b9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lmvar-1.5.2-r42hc72bb7e_1.tar.bz2”h0Œ@b9e14b56f097920000bb5a466fbb5e338d73ef54273196cc49ab46ed600d2b7a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-matrix >=1.2_4”Œr-matrixcalc >=1.0_3”Œr-maxlik >=1.3_4”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒYŽÑhshEJñ hFˆubh)”}”(hŒpathos”h#Œ0.2.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pathos-0.2.9-pyhd8ed1ab_0.tar.bz2”h+Œ 2c391fd048dcda2332245ea8f70d9c73”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pathos-0.2.9-pyhd8ed1ab_0.tar.bz2”h0Œ@eeb9a87660a39f4bf09d776a99757cf661ea2105fc8408599c9a4ba32dbcf233”h2NhNh3(Œdill >=0.3.5.1”Œmultiprocess >=0.70.13”Œpox >=0.3.1”Œppft >=1.7.6.5”Œpython ==2.7.*|>=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ£¶‹÷ÏhEMïÂhFˆubh)”}”(hŒ	r-pastecs”h#Œ1.3.21”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ&r-pastecs-1.3.21-r40hc72bb7e_2.tar.bz2”h+Œ 4187024a247e951663ff0f1f17c27e5f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pastecs-1.3.21-r40hc72bb7e_2.tar.bz2”h0Œ@af4fde23aa792e3d3ad31d2545c3f596ff72c6303659f309325c727ac097043d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-boot”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+é3C–hEJÁ˜ hFˆubh)”}”(hŒpymove-osmnx”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pymove-osmnx-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 34a6838b8b8bbbad92d63034637d6842”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pymove-osmnx-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cfe8895205c702a0de052cce85a7ba2eefab0f66ad030b32a7805b9b3d87df52”h2NhNh3Œosmnx >=1.0.0”Œpymove >=2.6.1”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ­c×
hEMŽ-hFˆubh)”}”(hŒlibidl-cos7-ppc64le”h#Œ0.8.14”h%Œha826a6f_103”h'Kghhh(h)hŒ/libidl-cos7-ppc64le-0.8.14-ha826a6f_103.tar.bz2”h+Œ 8c96f2fe2f179d9f6da6fed3c282c12e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libidl-cos7-ppc64le-0.8.14-ha826a6f_103.tar.bz2”h0Œ@6ff715faa73b36290c17b768518679a814ad7cd21e75c697ab4a4ca50fecb40d”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/1~úhEJ³y hFˆubh)”}”(hŒmarkdown-it-py”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)markdown-it-py-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ d821ebc1ebe21d4cac2555278c2cd970”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/markdown-it-py-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@96f1a41a88858563141ebfbf533821ea41035ee8ddcaa21676c8fa3b54bd00a6”h2NhNh3Œmdurl >=0.1,<1”Œpython >=3.7”Œtyping_extensions >=3.7.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ—jh
=hEMcåhFˆubh)”}”(hŒ	simpletal”h#Œ5.2”h%Œpyhd8ed1ab_1006”h'Mîhhh(h)hŒ%simpletal-5.2-pyhd8ed1ab_1006.tar.bz2”h+Œ e30f7fa85df7ad56769c0661f51ac3dd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/simpletal-5.2-pyhd8ed1ab_1006.tar.bz2”h0Œ@6006595114ba98f2515401c99781b043bcd6f90f59d6be74d30e9fc3167474f4”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØa÷Lût¼hEMihhFˆubh)”}”(hŒspefile”h#Œ1.6.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"spefile-1.6.1-pyhd3deb0d_0.tar.bz2”h+Œ 3948dd59fe9b637982e0d530a0f65ab9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/spefile-1.6.1-pyhd3deb0d_0.tar.bz2”h0Œ@70e7ede373ced39e52be525a69a071e4ca975194449528d8346eb4dcfbb82f45”h2NhNh3Œnumpy”Œ
python >=3”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×ó¹Ë1hEM	UhFˆubh)”}”(hŒimageai”h#Œ2.1.6”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"imageai-2.1.6-pyhd8ed1ab_1.tar.bz2”h+Œ 9858e9a15883ffef7c4ecd5817ce7cb6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/imageai-2.1.6-pyhd8ed1ab_1.tar.bz2”h0Œ@090d307222e4669eabe0ec2b01da343d875cb7c3739b18cea16ba1077f5c6d2b”h2NhNh3(Œclick”Œh5py”Œkeras”Œkeras-resnet”Œmatplotlib-base”Œnumpy”Œopencv”Œpillow”Œpython >=3.6”Œscikit-learn”Œscipy”Œ
tensorflow”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ#™}/hEJÇ› hFˆubh)”}”(hŒchkconfig-cos6-x86_64”h#Œ1.3.49.5”h%Œh2da7399_100”h'Kdhhh(h)hŒ3chkconfig-cos6-x86_64-1.3.49.5-h2da7399_100.tar.bz2”h+Œ 9ecf9652c4cd19cd1ea0f7ec47d8b7e7”h.Œahttps://conda.anaconda.org/conda-forge/noarch/chkconfig-cos6-x86_64-1.3.49.5-h2da7399_100.tar.bz2”h0Œ@6fbe69ffcd85216f2fe4793ca3c9bef64f91d760eba3dda6de37a762fe25d9d4”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Äo†E¢hEJâC hFˆubh)”}”(hŒ
r-validata”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-validata-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 42af958e4493f0e165d86d983af5b03d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-validata-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@f185380e246c70b074cf60f42b93a77581262ba27bb6d3e4351c06813c034c1e”h2NhNh3(Œr-badger”Œr-base >=4.1,<4.2.0a0”Œr-bbmisc”Œr-data.table”Œr-dplyr”Œr-framecleaner”Œr-gtools”Œ	r-janitor”Œr-listviewer”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-rlist”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¨eXhEJ	F hFˆubh)”}”(hŒpython-fitparse”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒ"python-fitparse-1.1.0-py_0.tar.bz2”h+Œ ec705b6aa386d0b44a660d4ef4356862”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/python-fitparse-1.1.0-py_0.tar.bz2”h0Œ@f25b84b611ce90efc71c160a8e0f618c7138449d9579df21e0a8ba55bbebd12e”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¿§ hEMßÓhFˆubh)”}”(hŒr-umx”h#Œ4.15.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-umx-4.15.1-r42hc72bb7e_1.tar.bz2”h+Œ 8199b027e2f1ff0f12ee3ff712eca433”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-umx-4.15.1-r42hc72bb7e_1.tar.bz2”h0Œ@abedc9afe4a0b06f8656bd973638346389e20b90c5d6ddbb800140953fffe868”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cowplot”Œr-diagrammer”Œr-diagrammersvg”Œ	r-ggplot2”Œr-kableextra”Œr-knitr”Œr-lavaan”Œr-mass”Œr-matrix”Œr-mumin”Œ	r-mvtnorm”Œr-nlme”Œr-openmx >=2.19.0”Œ	r-polycor”Œr-r2html”Œr-rcurl”Œr-rsvg”Œr-scales”Œr-xtable”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÔ4Ë‹¶FhEJl,P hFˆubh)”}”(hŒlibnl3-devel-cos7-x86_64”h#Œ3.2.28”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libnl3-devel-cos7-x86_64-3.2.28-ha826a6f_1103.tar.bz2”h+Œ 7d0844d1022ce708e7357bf0457d9d94”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos7-x86_64-3.2.28-ha826a6f_1103.tar.bz2”h0Œ@c4b65843907e3c53de2af3e1cd3b85b1541634f7b9cbaffb16435078baca66cd”h2NhNh3Œ&libnl3-cli-cos7-x86_64 ==3.2.28 *_1103”Œ"libnl3-cos7-x86_64 ==3.2.28 *_1103”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÈXÐ(öhEM¸ßhFˆubh)”}”(hŒnss-cos7-aarch64”h#Œ3.44.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-nss-cos7-aarch64-3.44.0-h9d98e8f_1104.tar.bz2”h+Œ fe0dda2f3b82a275e7b874962beebcf9”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nss-cos7-aarch64-3.44.0-h9d98e8f_1104.tar.bz2”h0Œ@234af9c20bdf08689537f3d7100fe16d85720b8834544b70558a5701e30f2b81”h2NhNh3(Œ!nspr-cos7-aarch64 >=4.21.0 *_1104”Œ(nss-softokn-cos7-aarch64 >=3.44.0 *_1104”Œ%nss-util-cos7-aarch64 >=3.44.0 *_1104”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É!‹ohEJ¥Ã hFˆubh)”}”(hŒ
r-nsprcomp”h#Œ0.5.1_2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-nsprcomp-0.5.1_2-r41hc72bb7e_2.tar.bz2”h+Œ 5adc507bc3947d33abd42c013b25faed”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-nsprcomp-0.5.1_2-r41hc72bb7e_2.tar.bz2”h0Œ@bebd3483baf86d87487ff509094d1e1e0138a1e4beb9e549200a3638d36afa73”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒIònVhEJà2 hFˆubh)”}”(hŒ	overrides”h#Œ2.5”h%Œpy_0”h'K hhh(h)hŒoverrides-2.5-py_0.tar.bz2”h+Œ 886c5b8493d87ce295735b4bf3b4ab5b”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/overrides-2.5-py_0.tar.bz2”h0Œ@fc3566b5d4c77431b076d0fb90959a7789bcb5de8c1f8d163a579dfda1df1093”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×noÉÞVhEM/hFˆubh)”}”(hŒr-factormerger”h#Œ0.4.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ*r-factormerger-0.4.0-r41hc72bb7e_2.tar.bz2”h+Œ 673229f23b0ee47b2f2632c62450af84”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-factormerger-0.4.0-r41hc72bb7e_2.tar.bz2”h0Œ@32c5310271b34f781e45aab5606fe1523d5563ae976b645dbea997dbab37f943”h2NhNh3(Œr-agricolae”Œr-base >=4.1,<4.2.0a0”Œr-colorramps”Œr-dplyr”Œ	r-forcats”Œr-formula.tools”Œ	r-ggplot2”Œr-ggpubr”Œr-knitr”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ,1‡…VhEJÓ²$ hFˆubh)”}”(hŒtetraframework”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)tetraframework-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 4b7a0157ae4b72a93e55812273ccf00f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/tetraframework-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@a3a29103a6a9c68c9374924396a458f5c9e4754ea88b1c102fcf4a35fb0c5e42”h2NhNh3(Œcryptography >=37.0.1”Œdjango >=3.2.0”Œpython >=3.7”Œpython-dateutil >=2.8.2”Œsourcetypes >=0.0.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¯gÿÎÙhEMÏhFˆubh)”}”(hŒ	r-syuzhet”h#Œ1.0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-syuzhet-1.0.6-r41hc72bb7e_1.tar.bz2”h+Œ 7910e9ee6de4d7813b8c1a387c687dfd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-syuzhet-1.0.6-r41hc72bb7e_1.tar.bz2”h0Œ@d66c13395b638767362a7631ea271b39d7d9ab8751c68ae02a286b89613bbf5c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-dtt”Œr-nlp”Œr-textshape >=1.3.0”Œr-tidyr”Œr-zoo”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐáÐðõÃhEJ;•+ hFˆubh)”}”(hŒ!xorg-x11-server-xvfb-cos7-aarch64”h#Œ1.20.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ=xorg-x11-server-xvfb-cos7-aarch64-1.20.4-hdf0574f_102.tar.bz2”h+Œ 1938977d7172334170b8f3437dc4d9d1”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos7-aarch64-1.20.4-hdf0574f_102.tar.bz2”h0Œ@df4174a0c0798761cfadfceea0730bb75ba678235ecf844b61b274dc939bcaf0”h2NhNh3Œ2xorg-x11-server-common-cos7-aarch64 >=1.20.4 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGA×Å;±`bNhEJ3	 hFˆubh)”}”(hŒr-metap”h#Œ1.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ!r-metap-1.1-r35h6115d3f_1.tar.bz2”h+Œ f49f198a1362be8eeffeffba92bccd99”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-metap-1.1-r35h6115d3f_1.tar.bz2”h0Œ@b7e9be4984745a9b4731686ee8bc3347aca982542f8f1d1fddfcde8f69835683”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-lattice”Œr-rdpack”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LØyiXhEJbŠ hFˆubh)”}”(hŒ	r-zeallot”h#Œ0.1.0”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ(r-zeallot-0.1.0-r40hc72bb7e_1003.tar.bz2”h+Œ 0dec629979bb91117cbc55a081d5db56”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-zeallot-0.1.0-r40hc72bb7e_1003.tar.bz2”h0Œ@d296e937548f95f908663bc8f25c840af33966119e7f5b7ce806ca00c32a17ca”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØs‡‹!&éhEMUûhFˆubh)”}”(hŒ
pytravisci”h#Œ2.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pytravisci-2.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3cbe922bfed152375ce0a153460c4220”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pytravisci-2.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9999587d59343a5a989f5d6e20228a4423e759c0b5d3069e5672f50ba318f4de”h2NhNh3(Œcryptography”Œpython >=3.6”Œrequests”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØa]lºŸ¾hEMˆ›hFˆubh)”}”(hŒ	qcfractal”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒqcfractal-0.11.0-py_0.tar.bz2”h+Œ 39b3e4d7fc40d744309f9962c6a4d87d”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/qcfractal-0.11.0-py_0.tar.bz2”h0Œ@b29a0a39ea29cf623ff32794eabd613a732f86ecbba20f1e461e8ab2e3807ed4”h2NhNh3(Œalembic”Œbcrypt”Œcryptography”Œmsgpack-python >=0.6.1”Œnumpy”Œpandas”Œ
postgresql”Œpsycopg2 >=2.7”Œpydantic >=0.32.0”Œpython >=3.6”Œpyyaml >=5.1”Œqcelemental >=0.9.0”Œqcengine >=0.11.0”Œrequests”Œsqlalchemy >=1.3”Œtornado”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×e)š®VhEJKË hFˆubh)”}”(hŒlibsepol-devel-cos6-x86_64”h#Œ2.0.41”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libsepol-devel-cos6-x86_64-2.0.41-h9d98e8f_104.tar.bz2”h+Œ f54caa43c65dea0b9ce5dec4678f02cd”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos6-x86_64-2.0.41-h9d98e8f_104.tar.bz2”h0Œ@590867efbd98ccab4451aa04a08cf2a8e6d5131ac8d2252087b9511e4c71bdd2”h2NhNh3Œ#libsepol-cos6-x86_64 ==2.0.41 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É{S$‹DhEM. hFˆubh)”}”(hŒlibudev-cos6-x86_64”h#Œ147”h%Œh1795305_1101”h'MMhhh(h)hŒ-libudev-cos6-x86_64-147-h1795305_1101.tar.bz2”h+Œ e55c1b9d2364ba15a6c618b10f3bc660”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libudev-cos6-x86_64-147-h1795305_1101.tar.bz2”h0Œ@3930432d953f1bb0b652cdc57b90a1833df1300204865c6caec718f3ae7a33cc”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÄÇ•RáHhEM)hFˆubh)”}”(hŒr-cramer”h#Œ0.9_3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ$r-cramer-0.9_3-r42hc72bb7e_3.tar.bz2”h+Œ 606feb3f6b67d47896c2a860d80eeb86”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cramer-0.9_3-r42hc72bb7e_3.tar.bz2”h0Œ@c8f079374631593f0846e77b7eac666856f63a4d52c3cfeab84dd2f2904e445e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¸£
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nbexamples”Œnglview >=1.1.3”Œnotebook”Œpyemma >=2.5.5”t”h9h?h@Œ Creative Commons Attribution 4.0”hBŒCC”hDGA×TÔ®E¢hEJÎâ hFˆubh)”}”(hŒglib2-devel-cos7-ppc64le”h#Œ2.56.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ5glib2-devel-cos7-ppc64le-2.56.1-ha826a6f_1103.tar.bz2”h+Œ 8599b60827f7426cdc1e52cfbf2401a6”h.Œchttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-ppc64le-2.56.1-ha826a6f_1103.tar.bz2”h0Œ@dae146e713634e2e0339a35d0d446e2c48f79e6af411721299c8e792e3ab3b1e”h2NhNh3Œ"glib2-cos7-ppc64le ==2.56.1 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2“hEJÏ! hFˆubh)”}”(hŒat-spi-devel-cos7-aarch64”h#Œ1.32.0”h%Œha826a6f_103”h'Kghhh(h)hŒ5at-spi-devel-cos7-aarch64-1.32.0-ha826a6f_103.tar.bz2”h+Œ 347c4ce8b2243568e9a0e3a84973b55d”h.Œchttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos7-aarch64-1.32.0-ha826a6f_103.tar.bz2”h0Œ@db5da1515f57d8c1d9d8397a9dea2d7b752631bdd9cdbfe2373ec6b0f5be6a5a”h2NhNh3(Œ"at-spi-cos7-aarch64 ==1.32.0 *_103”Œ%atk-devel-cos7-aarch64 >=1.29.2 *_103”Œ&gtk2-devel-cos7-aarch64 >=2.10.0 *_103”Œ'gtk2-devel-cos7-aarch64 >=2.24.31 *_103”Œ*libbonobo-devel-cos7-aarch64 >=2.4.0 *_103”Œ'orbit2-devel-cos7-aarch64 >=2.6.0 *_103”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2îshEJ:K hFˆubh)”}”(hŒr-redshifttools”h#Œ1.0.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ+r-redshifttools-1.0.1-r35h6115d3f_1.tar.bz2”h+Œ 05e6639d8d0291a34fb28ee28fb688cd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-redshifttools-1.0.1-r35h6115d3f_1.tar.bz2”h0Œ@49ee0b93aa582bc8a587503fb1f3f74e86141e6d8ef7e06398815790eabbc24e”h2NhNh3(Œr-aws.s3”Œr-base >=3.5,<3.6.0a0”Œr-dbi”Œ
r-progress”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×L¸‰…hEMÜhFˆubh)”}”(hŒrb-bond”h#Œ0.5.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ rb-bond-0.5.1-hc42de5b_0.tar.bz2”h+Œ 9f94ef4f3d2ee996fc5a629e5b4500d3”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-bond-0.5.1-hc42de5b_0.tar.bz2”h0Œ@340c0ad1ef9ce330bbf6648ff3c1facf2c8ac694802d93a62da6bd519da9c071”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×\ªÑ—+hEJ— hFˆubh)”}”(hŒ
formlayout”h#Œ1.2.0”h%Œpyhcc60001_0”h'K hhh(h)hŒ%formlayout-1.2.0-pyhcc60001_0.tar.bz2”h+Œ caf57f55303c54b3921b3434b267982f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/formlayout-1.2.0-pyhcc60001_0.tar.bz2”h0Œ@cf29ff193f361bfda673e0267ea8e1ce4276ea6eec6500055447e6158110fbcc”h2NhNh3Œpyqt”Œpython >=3.7”Œzlib >=1.2.12,<1.3.0a0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÁ¢ú½hEMšEhFˆubh)”}”(hŒpx4tools”h#Œ0.9.6”h%Œpy_1000”h'Mèhhh(h)hŒpx4tools-0.9.6-py_1000.tar.bz2”h+Œ 6464165c017efb544c8e249896659416”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/px4tools-0.9.6-py_1000.tar.bz2”h0Œ@fec8c2ad7e95209ab2a896704a55a0d8010b08a2327c05bacc4bceff57d74392”h2NhNh3(Œbasemap”Œcontrol >=0.7.0”Œmatplotlib >=2.2.2”Œnumpy >=1.13.3”Œpandas >=0.23.1”Œ
python >=3”Œpython-dateutil >=2.5.0”Œpyulog >=0.6.0”Œscipy >=1.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖúb3±XhEMXnhFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ3libxxf86vm-cos7-ppc64le-1.1.4-h1795305_1101.tar.bz2”h+Œ df67f8d10e6c5e86cbbbebdd0587bb6f”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-h1795305_1101.tar.bz2”h0Œ@773b0f5dfc0faf076a72da2e9a4700addd536a2156dad8ebc08fb1d5dbc2d765”h2NhNh3Œ libx11-cos7-ppc64le >=1.5.99.902”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&/hEM§9hFˆubh)”}”(hŒjupyter_client”h#Œ7.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)jupyter_client-7.3.4-pyhd8ed1ab_0.tar.bz2”h+Œ dad80938cdccc5c274e954dda56b6eb5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.3.4-pyhd8ed1ab_0.tar.bz2”h0Œ@181b36306cf9f389785c63199a14df6154583b605c86ab6c81f36c2fe57b4c9b”h2NhNh3(Œentrypoints”Œjupyter_core >=4.9.2”Œnest-asyncio >=1.5.4”Œpython >=3.7”Œpython-dateutil >=2.8.2”Œpyzmq >=23.0”Œtornado >=6.0”Œ	traitlets”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¨L1"n˜hEJ·j hFˆubh)”}”(hŒitypes”h#Œ1.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!itypes-1.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ e631362207d8c2fae02383e3a37cbf20”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/itypes-1.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@96d553d1c95bd8fb4e6975373e42d1a157a8847a98c631c23fe3f612db2c6718”h2NhNh3Œpython”…”h9h?h@ŒBSD”hBŒBSD”hDGA×¸C7ÌIºhEM‹hFˆubh)”}”(hŒibacm-cos6-x86_64”h#Œ1.0.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-ibacm-cos6-x86_64-1.0.9-h9b0a68f_1105.tar.bz2”h+Œ 7ef9df27e1e05c0922cde0db308b26e6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/ibacm-cos6-x86_64-1.0.9-h9b0a68f_1105.tar.bz2”h0Œ@3c670c2c3fae3ed1a7f6ac49537224b509e8c102c560ec1a3206e066360c0f49”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@Xa³÷ÏhEJ÷ hFˆubh)”}”(hŒpciutils-cos7-x86_64”h#Œ3.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0pciutils-cos7-x86_64-3.5.1-h9b0a68f_1105.tar.bz2”h+Œ 15b57cf692489436d643187d4e49d44a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/pciutils-cos7-x86_64-3.5.1-h9b0a68f_1105.tar.bz2”h0Œ@29e811fb17af7d31927eb7a48dcec67f1414b673067ae70522e59f9244db7cd8”h2NhNh3Œ(pciutils-libs-cos7-x86_64 ==3.5.1 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@lòPQìhEJKa hFˆubh)”}”(hŒr-imgur”h#Œ1.0.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-imgur-1.0.3-r41hc72bb7e_2.tar.bz2”h+Œ 6b78f6ca3ae67e7e7d32f1676795b634”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-imgur-1.0.3-r41hc72bb7e_2.tar.bz2”h0Œ@3151f4554ff5532e2ebacfdf51249a48f43e9b3e86ba29766cbb69dee3634a4e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œr-jpeg”Œr-png”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ©c€  hEJƒå hFˆubh)”}”(hŒarvpyf”h#Œ0.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!arvpyf-0.4.3-pyhd8ed1ab_0.tar.bz2”h+Œ 7471139e79c784774523a3b12e9d584c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/arvpyf-0.4.3-pyhd8ed1ab_0.tar.bz2”h0Œ@057ae1176ef93bf885a0d06e190177124066fc3e8bf90c78fd70e2bcf2ce62df”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.6”Œpytz”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ5…“ª\hEMÕ2hFˆubh)”}”(hŒemail_validator”h#Œ1.2.1”h%Œ
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r-magrittr”Œr-purrr”Œ	r-r.cache”Œr-rlang”Œr-rprojroot”Œr-rstudioapi”Œr-withr”Œr-yaml”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ6ßß;hEJ`ê hFˆubh)”}”(hŒcrystalmapping”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)crystalmapping-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5549ca5b4b10dfd0ff4bcb205745829b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/crystalmapping-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8af8c9cc92df226d9fcbbe20ea421c8cf3e79b0eda694ecda5f2f361cf5f4631”h2NhNh3(Œbluesky”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×¬Ä1hEJM hFˆubh)”}”(hŒpcre-cos7-aarch64”h#Œ8.32”h%Œh9d98e8f_104”h'Khhhh(h)hŒ+pcre-cos7-aarch64-8.32-h9d98e8f_104.tar.bz2”h+Œ 7c4fb76c19e9e5c415edeb66c313432b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pcre-cos7-aarch64-8.32-h9d98e8f_104.tar.bz2”h0Œ@53fc2b88e7765b47c25895fe43ef407c45c35009c8a3d5dcdc8d945597abf78d”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØŽ$(öhEJ¬í hFˆubh)”}”(hŒr-rversions”h#Œ2.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-rversions-2.1.2-r42hc72bb7e_1.tar.bz2”h+Œ d8190cef8ec58ca0f926ec41a82cf313”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rversions-2.1.2-r42hc72bb7e_1.tar.bz2”h0Œ@7e3a33d70e9e93a6eb19d05be5a59bd637dfa883e2288cdf1ad2accc055ef62e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-xml2 >=1.0.0”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ¾ÖÛohEJ³! hFˆubh)”}”(hŒr-sparselda”h#Œ0.1_9”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ*r-sparselda-0.1_9-r41hc72bb7e_1002.tar.bz2”h+Œ b6469e37782f0ab3869e72d0309b65c2”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-sparselda-0.1_9-r41hc72bb7e_1002.tar.bz2”h0Œ@3cca4f8da2b9d0ff81761421972fa117e53dd1e035899e3173dfc8045cdaa5d1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-elasticnet”Œr-mass”Œr-mda”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+C•hEJC hFˆubh)”}”(hŒlibx11-cos7-aarch64”h#Œ1.6.7”h%Œh1795305_1101”h'MMhhh(h)hŒ/libx11-cos7-aarch64-1.6.7-h1795305_1101.tar.bz2”h+Œ db440c0788d661c08324159270556969”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libx11-cos7-aarch64-1.6.7-h1795305_1101.tar.bz2”h0Œ@50b264808b4241d463f57c8737f5bef898c2fd1822f9b0f4360289fee5f54e9c”h2NhNh3Œ"libx11-common-cos7-aarch64 >=1.6.7”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åz¶FhEJaÔ hFˆubh)”}”(hŒr-bedr”h#Œ1.0.7”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-bedr-1.0.7-r36h6115d3f_0.tar.bz2”h+Œ 4622d212a8ac101bcdccd5d6c9a58cab”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bedr-1.0.7-r36h6115d3f_0.tar.bz2”h0Œ@f6512006252c08305b7d1be81321d270ac7f08f9115fc33ec71f3e22cdc10085”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table >=1.8.11”Œr-r.utils >=2.0.2”Œr-testthat >=0.7.1”Œr-venndiagram >=1.6.4”Œr-yaml >=2.1.10”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×VwûÐÄœhEJy hFˆubh)”}”(hŒnemspy”h#Œ1.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!nemspy-1.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ 3348dab887a24a1b11051a5d0bfccc76”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/nemspy-1.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@72f1449fcfcfbdb99675c062ac254d6068f0f76e92dddf6777244f7c25656752”h2NhNh3Œpython >=3.6”…”h9h?h@ŒCC0-1.0”hDGAØÐÝp¤hEM€YhFˆubh)”}”(hŒcaptcha”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ captcha-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 110e7fd2434473f3a7169868466efb0e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/captcha-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e9fcedce55590477d73472e95f4fbdced0f7321627cec6040a87b93e03bc6542”•      h2NhNh3Œpillow”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŒ9î«¶FhEJ¿• hFˆubh)”}”(hŒcli-ui”h#Œ0.17.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cli-ui-0.17.2-pyhd8ed1ab_0.tar.bz2”h+Œ e210df0dfab7781247c2a7ba09673400”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cli-ui-0.17.2-pyhd8ed1ab_0.tar.bz2”h0Œ@86a2428e5738c65a4cbb5468810024eb589753255e7f1ebf10a65804ce9372a2”h2NhNh3(Œcolorama >=0.4.1”Œpython >=3.7,<4.0”Œtabulate >=0.8.3”Œunidecode >=1.0.23”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÃÊ]n—hEM@ChFˆubh)”}”(hŒtplot”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ tplot-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ fb6618624966783221af809ab132f495”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tplot-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@04834677fedd9404a33a29d58d8488966ba998e6a49949b215066332176750fb”h2NhNh3(Œ(backports.cached-property >=1.0.1,<2.0.0”Œcolorama >=0.4.3”Œimportlib-metadata >=3.1.0”Œnumpy >=1.11”Œpython >=3.6.2”Œtermcolor >=1.1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ~%Ø ÅhEMAAhFˆubh)”}”(hŒurbansim_templates”h#Œ0.1.4”h%Œpyh44b312d_0”h'K hhh(h)hŒ-urbansim_templates-0.1.4-pyh44b312d_0.tar.bz2”h+Œ ad7bb64efb98307040725132191ed221”h.Œ[https://conda.anaconda.org/conda-forge/noarch/urbansim_templates-0.1.4-pyh44b312d_0.tar.bz2”h0Œ@fc7bda64cbcfaa1d3d0bbec2e68841d5da66005ddb76689fe03130d3e9b341b6”h2NhNh3(Œchoicemodels >=0.2.2”Œnumpy >=1.14”Œ
orca >=1.4”Œpandas >=0.23”Œpatsy >=0.4”Œpython”Œstatsmodels >=0.8”Œurbansim >=3.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ)—Š°!hEMÂahFˆubh)”}”(hŒpciutils-devel-cos7-x86_64”h#Œ3.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6pciutils-devel-cos7-x86_64-3.5.1-h9b0a68f_1105.tar.bz2”h+Œ 3532f658b5d76c0e00fb0182a4988bb9”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-x86_64-3.5.1-h9b0a68f_1105.tar.bz2”h0Œ@38a87bb538ce3ce732f57cf99a3c0a60029d4fdf9a5de7529ef09e8fe0b7df0b”h2NhNh3Œ#pciutils-cos7-x86_64 ==3.5.1 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@n|9XhEMszhFˆubh)”}”(hŒpygtc”h#Œ0.4.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ pygtc-0.4.1-pyh6c4a22f_0.tar.bz2”h+Œ 0a8a6062d88f73f6070fc7df87c9068c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pygtc-0.4.1-pyh6c4a22f_0.tar.bz2”h0Œ@44042024b94c8106c76b069774a112c58fa6a338df352296b543247236de9c8d”h2NhNh3(Œmatplotlib-base >=1.5.3”Œnumpy >=1.5”Œ	packaging”Œpython >=2.7,<3.0|>=3.6,<4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ“Dð  hEJ©ð, hFˆubh)”}”(hŒ
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r-leafsync”h#Œ0.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-leafsync-0.1.0-r36h6115d3f_0.tar.bz2”h+Œ 1ed4bdc41d3ba250c9606383901f7e1b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-leafsync-0.1.0-r36h6115d3f_0.tar.bz2”h0Œ@c401588aa9054c4ea9b0aa62f3263df9f31686f102d76d273174c09f03f97e4f”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools >=0.3”Œr-htmlwidgets”Œr-leaflet >=2.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×a>K½‘hhEJ² hFˆubh)”}”(hŒ	pytalises”h#Œ0.2.7”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ$pytalises-0.2.7-pyhd8ed1ab_2.tar.bz2”h+Œ ecca53a66a7fd6ae53d14ae9901402fb”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pytalises-0.2.7-pyhd8ed1ab_2.tar.bz2”h0Œ@beb84d5176a1742435d8c99393b65129ce9472103057468a98402e1627e48597”h2NhNh3(Œllvmlite >=0.34”Œnumba >=0.50”Œnumexpr >=2.7”Œnumpy >=1.19”Œpyfftw >=0.12”Œpython >=3.6”Œscipy >=1.5”t”h9h?h@ŒGPL-3.0-only”hBŒGPL3”hDGA×ïù¸1%hEMlhFˆubh)”}”(hŒpdfrw”h#Œ0.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒpdfrw-0.4-pyhd8ed1ab_2.tar.bz2”h+Œ 6eef20dad3a9ef16fe90cc703b453c7f”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pdfrw-0.4-pyhd8ed1ab_2.tar.bz2”h0Œ@390948582539a6dd32945abaac78cb30175c132f5de8d210c560feb740f3acbb”h2NhNh3Œpython >=3.3”…”h9h?h@ŒMIT”hBŒMIT”hDGA×÷¾$ÝhEMPÁhFˆubh)”}”(hŒr-ggseqlogo”h#Œ0.1”h%Œr35_1002”h'Mêhhh(h)hŒ r-ggseqlogo-0.1-r35_1002.tar.bz2”h+Œ 74cb0a910bb3800392f0eba45b77152a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ggseqlogo-0.1-r35_1002.tar.bz2”h0Œ@46b90174ff3faad66ecf19cabe19d35b7118aba4f6a2654d57191205b22f5e87”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”†”h9hºh@ŒLGPL”hBŒLGPL”hDGA×M`ý/hEJbÕ hFˆubh)”}”(hŒlibx11-common-cos7-ppc64le”h#Œ1.6.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libx11-common-cos7-ppc64le-1.6.7-ha826a6f_1103.tar.bz2”h+Œ c0584f097893c394d1c2b456bbb95531”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-ppc64le-1.6.7-ha826a6f_1103.tar.bz2”h0Œ@2c063785be87f0c7bc1234669a4a136b020311b098a18081fac58cb0c97fb9ba”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ÀýôhEJ . hFˆubh)”}”(hŒ
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sqlathanor”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%sqlathanor-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0889ebd178f5b18c015a3569ce6d83f0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sqlathanor-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5456de666dfb596fc03b8a8d9204dba294467162bb10f6761a7b8aa46276964d”h2NhNh3(Œpython >=3.7,<4”Œpyyaml >=3.13”Œsimplejson >=3.0”Œsqlalchemy >=0.10”Œvalidator-collection >=1.4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÎkÅ¼ZhEMÇ´hFˆubh)”}”(hŒcarto”h#Œ1.11.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!carto-1.11.2-pyh9f0ad1d_0.tar.bz2”h+Œ 19261485c3c3c1fb2412361a2c46c804”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/carto-1.11.2-pyh9f0ad1d_0.tar.bz2”h0Œ@cf560cc4f6b52d58a1f643db285ececd269d145006e5cbd1eeda7ac67d532dcf”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ßlŽ‡+hEM>fhFˆubh)”}”(hŒrequirements-parser”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ&requirements-parser-0.2.0-py_0.tar.bz2”h+Œ 669c1ae007790b7b3759a418ac5feff0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/requirements-parser-0.2.0-py_0.tar.bz2”h0Œ@f4961df20757974430b6afe840a900d930a2a148b548553824cc280b1645aad4”h2NhNh3Œpython”Œ
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python >=3”Œscikit-learn”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×9ç*vvÉhEMV!hFˆubh)”}”(hŒr-leafpm”h#Œ0.1.0”h%Œr36h6115d3f_3”h'Khhh(h)hŒ$r-leafpm-0.1.0-r36h6115d3f_3.tar.bz2”h+Œ 8e3168821ab46ecc82b4f38e259e54d1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafpm-0.1.0-r36h6115d3f_3.tar.bz2”h0Œ@32594c52efaa2965a40db7c64ba8b186e467f9c51f1c64aed670d07792097816”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-sf >=0.5_2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬ŽŠûçhEJ hFˆubh)”}”(hŒlibsepol-devel-cos7-aarch64”h#Œ2.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libsepol-devel-cos7-aarch64-2.5-h9d98e8f_104.tar.bz2”h+Œ 541803dea27d1214f590efe4ec541d1d”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-aarch64-2.5-h9d98e8f_104.tar.bz2”h0Œ@93b1da0684d5acec580c4b61a83cb4ea1c079b25bf46e85b1663fb4a39bab9c1”h2NhNh3Œ!libsepol-cos7-aarch64 ==2.5 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É{•å`hEMŽ®hFˆubh)”}”(hŒ
r-multiroc”h#Œ1.1.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ)r-multiroc-1.1.1-r42hc72bb7e_1003.tar.bz2”h+Œ 8d89312d02a3d67ec3af7a33c19d6ecd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r42hc72bb7e_1003.tar.bz2”h0Œ@abb002a6243ee8bb9485837a01c769f914a8abd461b9682c1a73c834ffbea295”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œ
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r-magrittr”Œr-rlang >=0.3.1”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÔ­X
^5hEM®ÐhFˆubh)”}”(hŒ xorg-x11-util-macros-cos6-x86_64”h#Œ1.19.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ=xorg-x11-util-macros-cos6-x86_64-1.19.0-h9d98e8f_1104.tar.bz2”h+Œ 882fbc1b807936b3e2db7f1499af8947”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos6-x86_64-1.19.0-h9d98e8f_1104.tar.bz2”h0Œ@bc3a20ac7a479241ced6a16f2954bad1acb27cae39abcb441621c31ef1e90f23”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz%¬hEMÉªhFˆubh)”}”(hŒrb-jekyll-readme-index”h#Œ0.2.0”h%Œ
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GPL (>= 3)”hBŒGPL3”hDGAØÒLÚl‹hEJ½Û) hFˆubh)”}”(hŒpython-wget”h#Œ3.2”h%Œpy_0”h'K hhh(h)hŒpython-wget-3.2-py_0.tar.bz2”h+Œ fa3a96642ac9f0cf746cf0825a95bcf9”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/python-wget-3.2-py_0.tar.bz2”h0Œ@25795e337c6dba30ced4b698bb22f3903b3c55b798a297bc23b81d23a8c37217”h2NhNh3Œpython”…”h9h?h@ŒPublic Domain”hEM2hFˆubh)”}”(hŒstem”h#Œ1.8.0”h%Œpy_0”h'K hhh(h)hŒstem-1.8.0-py_0.tar.bz2”h+Œ aa71a8013aed29d9c83a7574b44849a7”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/stem-1.8.0-py_0.tar.bz2”h0Œ@bbf2c662828599f31d7e11a1cf679f5dccfe6513db2a73d61bfccf39919a91d5”h2NhNh3Œpython”…”h9h?h@ŒGNU (LGPLv3)”hDGA×¸EØõÃhEJ hFˆubh)”}”(hŒr-getopt”h#Œ1.20.3”h%Œr36_1”h'Khhh(h)hŒr-getopt-1.20.3-r36_1.tar.bz2”h+Œ 098808fbb30c1f9bc70fd78215adc089”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-getopt-1.20.3-r36_1.tar.bz2”h0Œ@f35b0f456d4ad1f423e9a9eb63f15aa9d3f57362e6eb112f8ebba7ca4ebe8c41”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L@ò¼ýôhEM ›hFˆubh)”}”(hŒcairo-devel-cos6-x86_64”h#Œ1.8.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3cairo-devel-cos6-x86_64-1.8.8-h9b0a68f_1105.tar.bz2”h+Œ 66a8bd543b2c43caec39f3be73af3d60”h.Œahttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos6-x86_64-1.8.8-h9b0a68f_1105.tar.bz2”h0Œ@91be0ca51051e4130105e589e64bf82d2e33334ba3eaeaea5b096725b096b0d4”h2NhNh3(Œ cairo-cos6-x86_64 ==1.8.8 *_1105”Œ)fontconfig-devel-cos6-x86_64 >=2.0 *_1105”Œ)freetype-devel-cos6-x86_64 >=2.1.9 *_1105”Œ(pixman-devel-cos6-x86_64 >=0.12.0 *_1105”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGAØ@^Ü¤‹DhEJ hFˆubh)”}”(hŒpaegan”h#Œ1.1.4”h%Œpy_1”h'Khhh(h)hŒpaegan-1.1.4-py_1.tar.bz2”h+Œ 50677bb3024eb10e2823021bb9cfae93”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/paegan-1.1.4-py_1.tar.bz2”h0Œ@bc3f17c0b310c828b4b36af5b253280fb27cb0e8d14b3776fc9fe13794b54dda”h2NhNh3(Œnetcdf4”Œnumpy”Œpython”Œpython-dateutil”Œpytz”Œscipy”Œshapely”t”h9h?h@ŒGPL-3.0”hDGAÖÐ1ìjhEMµhFˆubh)”}”(hŒsqlalchemy-vertica-python”h#Œ0.5.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5sqlalchemy-vertica-python-0.5.10-pyhd8ed1ab_0.tar.bz2”h+Œ 4796105e8b3c6ea50b35cd9795dcc9cb”h.Œchttps://conda.anaconda.org/conda-forge/noarch/sqlalchemy-vertica-python-0.5.10-pyhd8ed1ab_0.tar.bz2”h0Œ@decade5ba5a8867ddd12757fbbe081155b8f9bd9283781afd34b35c6198afa2c”h2NhNh3Œpython >=2.7”Œvertica-python”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ðšE?}hEM<&hFˆubh)”}”(hŒlsb-release”h#Œ11.1.0”h%Œpyhd8ed1ab_4”h'Khhh(h)hŒ'lsb-release-11.1.0-pyhd8ed1ab_4.tar.bz2”h+Œ d27cedad37dc3e8f7df17c1dc7869031”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/lsb-release-11.1.0-pyhd8ed1ab_4.tar.bz2”h0Œ@8b64a9c71942ea8ef7caf0a7c52fb174f0057b2729db0acdb81af9425bbc44ec”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-2.0-only”hBŒGPL2”hDGAØØm‰G®hEMoMhFˆubh)”}”(hŒr-babynames”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-babynames-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 96a7d3e0002bd252cfd8c380d86bfd24”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-babynames-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@510ee832d3cd04ba582f15f1c858f8a5871356f1f7f5111f2f1ed49605e7c7df”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØ•õ]t¼hEJ@U hFˆubh)”}”(hŒ
napari-mri”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%napari-mri-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 10b15c111363f7a78bfe7ac1366e60a6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/napari-mri-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0bda809877492618220a3f2bca8b6fae9b11752962baf75212eb873833190b67”h2NhNh3(Œnapari-plugin-engine >=0.1.4”Œnibabel”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‘u¦#÷ÏhEM˜"hFˆubh)”}”(hŒr-uroot”h#Œ2.1_2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-uroot-2.1_2-r36h6115d3f_0.tar.bz2”h+Œ f47adeb1796e27c3ebdf13bca1295da0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-uroot-2.1_2-r36h6115d3f_0.tar.bz2”h0Œ@6a8d2f0a1903b6a80256c58ed0175fddee23d0c4db9b0bbcbd8c37522d3a9e76”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Ô†OD›¦hEJg hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpy_9”h'K	hhh(h)hŒ$fenics-dijitso-2019.1.0-py_9.tar.bz2”h+Œ b64e7713ab97c414dec17889703168e9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-py_9.tar.bz2”h0Œ@79b260d054deb43dd16a676f5c891aea18c89ae5e8190ffef4e02ddba167240a”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×“ñ­#Æ¨hEM=¥hFˆubh)”}”(hŒnss-util-cos7-aarch64”h#Œ3.44.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1nss-util-cos7-aarch64-3.44.0-h9b0a68f_105.tar.bz2”h+Œ f90bcddabe3a006f97a1d9bf9ac06bb5”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-aarch64-3.44.0-h9b0a68f_105.tar.bz2”h0Œ@3bf3fcaea6398b32f0c77ebce754e2ab69097a2bed537153705e89d86ce8c234”h2NhNh3Œ nspr-cos7-aarch64 >=4.21.0 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@Z§È  hEJ—O hFˆubh)”}”(hŒ	r-projmgr”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-projmgr-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 2b613efeee985124cc0456b412ba06cb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-projmgr-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@9af75dde7747c47472bb58a45fabe1967cf3734e694be353db8571578fceef65”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gh”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ5ËS¶FhEJ‘„ hFˆubh)”}”(hŒ
r-ipflasso”h#Œ1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-ipflasso-1.1-r36h6115d3f_0.tar.bz2”h+Œ e0bf4feecbfeeef505c1585a0e6326f0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipflasso-1.1-r36h6115d3f_0.tar.bz2”h0Œ@61c4cd52cc7427d57012b1d8fe54df9ecf0967437beedace028756df4d35a4e7”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-glmnet”Œ
r-survival”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×|ªÌ¼jhEJ hFˆubh)”}”(hŒr-rwekajars”h#Œ3.9.3_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-rwekajars-3.9.3_2-r42hc72bb7e_2.tar.bz2”h+Œ 2b7a2bae8e22f4bdca92592e2c59f19c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rwekajars-3.9.3_2-r42hc72bb7e_2.tar.bz2”h0Œ@15cf71bb94bc0851d0e2710bfb014c6d2e137795580633aecd73c98176ea14ca”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava >=0.6_3”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐðÅT›¦hEJÆc› hFˆubh)”}”(hŒr-treatmentselection”h#Œ2.1.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ3r-treatmentselection-2.1.1-r35h6115d3f_1001.tar.bz2”h+Œ 5ca25c210802b8f70e9355e963c13263”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-treatmentselection-2.1.1-r35h6115d3f_1001.tar.bz2”h0Œ@63ebabd2959adc79a538c148a71b6cf83013434d52699f6a514025fda5c1410c”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-binom”Œ	r-ggplot2”Œ
r-survival”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¡³b\hEJ5Ž' hFˆubh)”}”(hŒr-rfoc”h#Œ3.4_6”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ"r-rfoc-3.4_6-r41hc72bb7e_3.tar.bz2”h+Œ 222a2600a578fe2224809d91f79502ec”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rfoc-3.4_6-r41hc72bb7e_3.tar.bz2”h0Œ@e77e1a9f532142b53cbcd0162fdb034d120b2046c965f62e96847ef0c6b6a512”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-geomap”Œr-mass”Œr-rpmg”Œr-rseis”Œ	r-splancs”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒEƒhEJh-
 hFˆubh)”}”(hŒlogging_exceptions”h#Œ0.1.8”h%Œpy_0”h'K hhh(h)hŒ%logging_exceptions-0.1.8-py_0.tar.bz2”h+Œ 031b3b5c288023ec73fd9bb58d421ef5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/logging_exceptions-0.1.8-py_0.tar.bz2”h0Œ@3eff5822a421a10f4070b96dab48596eacd202cc788376c365b2759b5dbbd660”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖ¹Ç¶ÊÀƒhEM@!hFˆubh)”}”(hŒr-naturalsort”h#Œ0.1.3”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ-r-naturalsort-0.1.3-r351h6115d3f_1001.tar.bz2”h+Œ e4632c955604a02914bcb26f61150cc1”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-naturalsort-0.1.3-r351h6115d3f_1001.tar.bz2”h0Œ@3c2c94d5575d5e956c9b220262911602c091a0f43a9a1c090e2e5fc1bd32dba8”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×‚¼Á7LhEMÜRhFˆubh)”}”(hŒlibx11-common-cos7-x86_64”h#Œ1.6.7”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libx11-common-cos7-x86_64-1.6.7-h9d98e8f_1104.tar.bz2”h+Œ 0f59b32783ad1fe010847db5d3536941”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-x86_64-1.6.7-h9d98e8f_1104.tar.bz2”h0Œ@356710ce6cb3bf58c6a3f1ec3af33f42ca15b66fe7ade5c88601f78094eccf06”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzÞ'KÇhEJM) hFˆubh)”}”(hŒlibxi-cos7-aarch64”h#Œ1.7.9”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.libxi-cos7-aarch64-1.7.9-hdf0574f_1102.tar.bz2”h+Œ aa959c413cdd56ab7db8fdb9a9f8c9b5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-aarch64-1.7.9-hdf0574f_1102.tar.bz2”h0Œ@fc05bc3c70bf2b9df40c81691c5fa97ecb6b09157dea519b0f1abf95124cd7fc”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ­ó¶hEM>ŽhFˆubh)”}”(hŒgoogle-reauth”h#Œ0.1.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ(google-reauth-0.1.1-pyhd3deb0d_0.tar.bz2”h+Œ 0cb6edfbc85701fd4ea159950525d0d6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/google-reauth-0.1.1-pyhd3deb0d_0.tar.bz2”h0Œ@5042228b816496eabf2c0b1861e015337dccca937826147e0bae77e548bb24db”h2NhNh3Œpython”Œpyu2f”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ñÕàƒohEM[EhFˆubh)”}”(hŒr-geoaxe”h#Œ0.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-geoaxe-0.1.0-r40hc72bb7e_1.tar.bz2”h+Œ fab784d7c2f66b7a77837fa7b997f5d6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-geoaxe-0.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@e62283bdbfa94fad484c9e09a4c55b0251b8c6af712803d9c4875fb03bca9431”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-jsonlite”Œr-rgeos”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ö	¡hshEJ¯Á hFˆubh)”}”(hŒresource_backed_dask_array”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5resource_backed_dask_array-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8ff05dfcc8a56d35e58428d50c1e7c38”h.Œchttps://conda.anaconda.org/conda-forge/noarch/resource_backed_dask_array-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c51b41209487c84d94b0543dd255bef9103e17bef4a70902a119bc3c22a77935”h2NhNh3(Œdask”Œimportlib-metadata >=1.5.0”Œpython >=3.7”Œtyping_extensions”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‰Zý›¥ãhEM,hFˆubh)”}”(hŒr-leafpm”h#Œ0.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-leafpm-0.1.0-r36h6115d3f_1.tar.bz2”h+Œ 6241999c9d9a564938d19b28e3646236”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafpm-0.1.0-r36h6115d3f_1.tar.bz2”h0Œ@b11095b98e4486ff10e6deb6f8034a019f4601964b4cc43be9a036db76b2c145”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
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r-magrittr”t”h9hºh@Œ
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r-micropan”h#Œ2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-micropan-2.1-r40hc72bb7e_0.tar.bz2”h+Œ 450e22bcd43a9ea358eefa7cc4394574”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-micropan-2.1-r40hc72bb7e_0.tar.bz2”h0Œ@6d49f5993c046c531cbf8687127febbceb13126dd4f53f90f0b7958fe9e787a1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-igraph”Œ
r-microseq”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ T{hEJ¯f hFˆubh)”}”(hŒr-gfa”h#Œ1.0.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ$r-gfa-1.0.3-r36h6115d3f_1002.tar.bz2”h+Œ 9f8a094b18752eac79430e443bcde232”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gfa-1.0.3-r36h6115d3f_1002.tar.bz2”h0Œ@9a0d9428f45a40c29b80cd063f85141f987728bf427077bcda412e3d6996ae8d”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬Ë—,1hEJ/| hFˆubh)”}”(hŒr-s4vd”h#Œ1.1_1”h%Œr351h6115d3f_0”h'K hhh(h)hŒ#r-s4vd-1.1_1-r351h6115d3f_0.tar.bz2”h+Œ b43bd274d16f652004b67c180471295f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-s4vd-1.1_1-r351h6115d3f_0.tar.bz2”h0Œ@e9572d29f3a32b978e95fe7c63e60dd9e78ed3f515a6c87a6a806b34bcf86e91”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-biclust”Œ	r-foreach”Œr-irlba”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Ä}¢¬hEJà hFˆubh)”}”(hŒ
r-zipcoder”h#Œ0.3.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-zipcoder-0.3.5-r41hc72bb7e_0.tar.bz2”h+Œ 5b663bfd5515ad0bf452a49bfcb3eb76”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-zipcoder-0.3.5-r41hc72bb7e_0.tar.bz2”h0Œ@af659add01712625fd41e2a88a3a60ba828e0c3fe52ee7d50e7af6b9d2d489cb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-dbi”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-raster”Œr-rlang”Œ	r-rsqlite”Œ	r-stringr”Œr-tidycensus”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÎöºÿ;dhEJ¹9 hFˆubh)”}”(hŒfreediscovery”h#Œ1.3.1”h%Œpy_2”h'Khhh(h)hŒ freediscovery-1.3.1-py_2.tar.bz2”h+Œ 0e1cf0edfa0fbc40454e27c7893484eb”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/freediscovery-1.3.1-py_2.tar.bz2”h0Œ@25338600820db6dfd8e21b584fc49b2191c750cdc9fe19f677e20ba7b2f2911d”h2NhNh3(Œapispec <0.20.0”Œflask-apispec >=0.3.2,<0.5.0”Œmarshmallow >=2.12.2,<2.99”Œ
nltk >=3.2”Œnumpy >=1.10.0”Œpandas >=0.19.0”Œpython”Œrequests >=2.10”Œscikit-learn >=0.18.1”Œscipy >=0.17.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÓbFHƒhEJ¬Í hFˆubh)”}”(hŒr-lsa”h#Œ0.73.3”h%Œr41ha770c72_0”h'K hhh(h)hŒ"r-lsa-0.73.3-r41ha770c72_0.tar.bz2”h+Œ c6802ae53f5c5450b6521dcaee167780”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lsa-0.73.3-r41ha770c72_0.tar.bz2”h0Œ@d98397675b4e28a17990b31f5dd5ced518cf78f8e9051eb812d631c308c0ec9b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-snowballc”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØž<h£×hEJl hFˆubh)”}”(hŒhumanfriendly”h#Œ4.16.1”h%Œpy_0”h'K hhh(h)hŒ!humanfriendly-4.16.1-py_0.tar.bz2”h+Œ 9bafadaf4f4d8549a2328a83119c078f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/humanfriendly-4.16.1-py_0.tar.bz2”h0Œ@48ebfb367143ae995cf9b013fbbc54e35b557f0470928bce8c1fbbff4cbb875a”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÔì›»hEMSÞhFˆubh)”}”(hŒmkapi”h#Œ1.0.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!mkapi-1.0.14-pyhd8ed1ab_0.tar.bz2”h+Œ 395773a424ccbd0955585196c83a361e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/mkapi-1.0.14-pyhd8ed1ab_0.tar.bz2”h0Œ@eb27f7f80eeba8603ef5936bcba2107278d61ce87adddc094155e77cd52ffd0d”h2NhNh3Œjinja2”Œmarkdown”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×÷¿P¶ÙhEM€†hFˆubh)”}”(hŒr-batch”h#Œ1.1_5”h%Œr40h6115d3f_2”h'Khhh(h)hŒ#r-batch-1.1_5-r40h6115d3f_2.tar.bz2”h+Œ ceefc57868bb3c69a53b54375349141d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-batch-1.1_5-r40h6115d3f_2.tar.bz2”h0Œ@bfc6bbf2e44f8ae5fb7543015ff23c203ee298e138e3fdc6dbfa56160c2dfd11”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×­	Ò¦5?hEMIæhFˆubh)”}”(hŒlibxrandr-devel-cos7-ppc64le”h#Œ1.5.1”h%Œha826a6f_103”h'Kghhh(h)hŒ7libxrandr-devel-cos7-ppc64le-1.5.1-ha826a6f_103.tar.bz2”h+Œ 776c3d2438b190a42b3dc8a12475ccf9”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos7-ppc64le-1.5.1-ha826a6f_103.tar.bz2”h0Œ@c8c3e28dc523014a3943a0b0d69da705fa5026a7645264a4a2c8f5b586ad240e”h2NhNh3Œ$libxrandr-cos7-ppc64le ==1.5.1 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2›…hEM=hFˆubh)”}”(hŒ	r-assertr”h#Œ3.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-assertr-3.0.0-r42hc72bb7e_0.tar.bz2”h+Œ f2e6aff4525ea0258b8d66d85b57ff49”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-assertr-3.0.0-r42hc72bb7e_0.tar.bz2”h0Œ@71bfd20d748dd7cee38607ad843f610b6c5d4d4f0386a5f6cd6c7a758c2c4ec7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.0”Œr-mass”Œr-rlang >=0.3.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÙÆeJ^5hEJ[à hFˆubh)”}”(hŒr-withr”h#Œ2.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-withr-2.5.0-r41hc72bb7e_0.tar.bz2”h+Œ 53558bed67c14dc998209e5a567b6cfd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-withr-2.5.0-r41hc72bb7e_0.tar.bz2”h0Œ@cc6076324e76eb52108ace00c34a3fc31e5b5cfe815576fa051b61cfef0bef0f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØˆ^ö å`hEJè¾ hFˆubh)”}”(hŒr-rvmmin”h#Œ2018_4.17.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-rvmmin-2018_4.17.1-r41hc72bb7e_1.tar.bz2”h+Œ f7708532f009ce314e83ac14c38f8b0d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rvmmin-2018_4.17.1-r41hc72bb7e_1.tar.bz2”h0Œ@1c81cbebad7e60125d8ff60a070ed1775c9afed20aa8f8ac9ea9019fe71c9bda”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-optextras”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑLŠn$ÝhEJÎ{ hFˆubh)”}”(hŒr-ggally”h#Œ2.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ggally-2.1.2-r41hc72bb7e_0.tar.bz2”h+Œ b1955567d17a2df7317b038ec2604c4f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggally-2.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@41d0bd2b1e95b8ef38947fecb03e6249ea6c157d0068080b56a3098d7c0de1f3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œ	r-forcats”Œr-ggplot2 >=3.3.0”Œr-gtable >=0.2.0”Œr-lifecycle”Œr-plyr >=1.8.3”Œ
r-progress”Œr-rcolorbrewer”Œr-reshape >=0.8.5”Œr-rlang”Œr-scales >=1.1.0”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ4«2JhEJÏ hFˆube(h)”}”(hŒr-rhandsontable”h#Œ0.3.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-rhandsontable-0.3.8-r41hc72bb7e_0.tar.bz2”h+Œ 843a5bd7cfda8a5e2e10c07c00510581”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rhandsontable-0.3.8-r41hc72bb7e_0.tar.bz2”h0Œ@da62ded641215f185d731be918a09ec40ac401e85370ee7aa4026bcc1b013f6f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets >=0.3.3”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ìÎÙhEJâ¾, hFˆubh)”}”(hŒat-spi-devel-cos6-x86_64”h#Œ1.28.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5at-spi-devel-cos6-x86_64-1.28.1-h9d98e8f_1104.tar.bz2”h+Œ 7aa6d5518d47eacb1538f1c6b5306c58”h.Œchttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos6-x86_64-1.28.1-h9d98e8f_1104.tar.bz2”h0Œ@d13593eff5d47430ac7b3a82a08fbf09d88197c532b0f56ab5f9fda5ecdc3853”h2NhNh3(Œ"at-spi-cos6-x86_64 ==1.28.1 *_1104”Œ%atk-devel-cos6-x86_64 >=1.13.0 *_1104”Œ&gtk2-devel-cos6-x86_64 >=2.10.0 *_1104”Œ'gtk2-devel-cos6-x86_64 >=2.24.23 *_1104”Œ*libbonobo-devel-cos6-x86_64 >=2.4.0 *_1104”Œ'orbit2-devel-cos6-x86_64 >=2.6.0 *_1104”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éçß|îhEJÜX hFˆubh)”}”(hŒr-superpower”h#Œ0.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-superpower-0.2.0-r40hc72bb7e_0.tar.bz2”h+Œ ca290155b0519e6e9aa02a7cf2921b6f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-superpower-0.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@ffe6cf8c4cb9a8168ace6cfec07cf7442fdeed98bf2de3102f7f1f9da8320ff2”h2NhNh3(Œr-afex”Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-emmeans”Œ	r-ggplot2”Œr-gridextra”Œr-hmisc”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œ
r-reshape2”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¡Õ‡+hEJa¤! hFˆubh)”}”(hŒr-stabledist”h#Œ0.7_1”h%Œr36_2002”h'MÒhhh(h)hŒ#r-stabledist-0.7_1-r36_2002.tar.bz2”h+Œ 79dd6ec27c604fae55136e3a27bfe5a1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stabledist-0.7_1-r36_2002.tar.bz2”h0Œ@db5450defd99ef96ef8cc03432bf93e9e9bdeb8a30179d88ed632994dfbc1e9f”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L³þ5?hEJx9 hFˆubh)”}”(hŒ
unifuncnet”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%unifuncnet-1.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ c3166a0a852d6b9ed6bb2d88c8177cd5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/unifuncnet-1.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@d6b39d6654eb9d1d65ade7c2e1f60a314e2f6f15b3ebbb7f2250634d6fd270ef”h2NhNh3(Œbeautifulsoup4”Œlxml”Œpython >=3.9”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŠ{Fs33hEJ hFˆubh)”}”(hŒr-loader.ecoms”h#Œ1.4.6”h%Œr41ha770c72_1”h'Khhh(h)hŒ*r-loader.ecoms-1.4.6-r41ha770c72_1.tar.bz2”h+Œ 8f11c2565baa4aacf59ee8457fcdbebd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-loader.ecoms-1.4.6-r41ha770c72_1.tar.bz2”h0Œ@eaefb513aee700093ad026a092496b5eb4b8e7fe3512d90651620d77535a9c75”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-loader >=1.4.5”Œr-loader.java >=1.0.0”Œr-rcurl”Œr-rjava”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯úë…hEJú hFˆubh)”}”(hŒr-ada”h#Œ2.0_5”h%Œr40_1002”h'Mêhhh(h)hŒr-ada-2.0_5-r40_1002.tar.bz2”h+Œ 90df7d9ec9756e782dc143f9cb8c6b92”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-ada-2.0_5-r40_1002.tar.bz2”h0Œ@baff0c2a571f3f05ba8eef76d839b1221714ea7cf6711750fb917dcf02d475ec”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rpart”†”h9hºh@ŒGPL”hBŒGPL”hDGA×¬%ÐÔþhEJê” hFˆubh)”}”(hŒr-discriminer”h#Œ0.1_29”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ-r-discriminer-0.1_29-r36h6115d3f_1003.tar.bz2”h+Œ a266f70255e33b28260f1d0348978640”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-discriminer-0.1_29-r36h6115d3f_1003.tar.bz2”h0Œ@be22f4177f5a6b7dc0379c005e9620585a0aa0eed9c41dfa962555d1c6cc57fd”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬ác:Ÿ¾hEJ·ª hFˆubh)”}”(hŒr-maybe”h#Œ1.0.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ#r-maybe-1.0.0-r42h785f33e_1.tar.bz2”h+Œ 68cf7c27a0cd46c47fa011a4c09f49bb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-maybe-1.0.0-r42h785f33e_1.tar.bz2”h0Œ@94e412f30da00b212e73df5e6c8d4a25d5c3a3349ef6273cea79d9be4e4d55a0”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-magrittr”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ"¿¾whEJ× hFˆubh)”}”(hŒdataclasses”h#Œ0.8”h%Œpyhc8e2a94_3”h'Khhh(h)hŒ$dataclasses-0.8-pyhc8e2a94_3.tar.bz2”h+Œ a362b2124b06aad102e2ee4581acee7d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dataclasses-0.8-pyhc8e2a94_3.tar.bz2”h0Œ@63a83e62e0939bc1ab32de4ec736f6403084198c4639638b354a352113809c92”h2NhNh3Œpython >=3.7”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØEûÝ»•hEMŽ&hFˆubh)”}”(hŒlibxshmfence-cos6-x86_64”h#Œ1.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libxshmfence-cos6-x86_64-1.2-h9d98e8f_1104.tar.bz2”h+Œ dbc8ba9ff813536cf9f456e8cc2ee58d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos6-x86_64-1.2-h9d98e8f_1104.tar.bz2”h0Œ@70a49c8fc113498778fe4c2a5ee890953253e64aa210ea618419c9ed9a6df7f5”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éys¦È´hEM¬hFˆubh)”}”(hŒgeneralisedformanricci”h#Œ0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/generalisedformanricci-0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 70f3a849324328729014c96b591b9f81”h.Œ]https://conda.anaconda.org/conda-forge/noarch/generalisedformanricci-0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@80fe92f0e6a63beed839ff949638f87865e2c8e6e0de7181138457c4983da7a9”h2NhNh3(Œgudhi”Œnetworkx”Œpython >=3.6”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×þr\íp¤hEM
6hFˆubh)”}”(hŒpydoas”h#Œ1.2.4”h%Œpy_2”h'Khhh(h)hŒpydoas-1.2.4-py_2.tar.bz2”h+Œ e8331fbe06361b848ec9987343e83a97”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pydoas-1.2.4-py_2.tar.bz2”h0Œ@4785163843f302a864c77b9ac3b589176f16b7e54b0e44f8564a562e903ffa0f”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¯ü)º^hEMq½hFˆubh)”}”(hŒdpt”h#Œ1_0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdpt-1_0-pyhd8ed1ab_0.tar.bz2”h+Œ 7e10868c26dfe684ca25b62e27a2248e”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/dpt-1_0-pyhd8ed1ab_0.tar.bz2”h0Œ@e37930eeba4f074d95d13dd94518f02c4dcc166ecc055e224a9e13249abf20d3”h2NhNh3(Œ	py-opencv”Œpython >=3.7”Œpytorch”Œtimm”Œtorchvision”t”h9h?h@ŒMIT”hBŒMIT”hDGAØz$¤GKÇhEM÷hFˆubh)”}”(hŒpyts”h#Œ0.12.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ pyts-0.12.0-pyh6c4a22f_0.tar.bz2”h+Œ 5690d5e79769de62513afa10a81d4b27”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyts-0.12.0-pyh6c4a22f_0.tar.bz2”h0Œ@ea1ab1607787f5c0f5ea8d9ddf42abc4b6fd7e9b7db2ba72b1a534e4ba3f52e8”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ_¬ŸƒhEJÕA hFˆubh)”}”(hŒlibx11-common-cos7-aarch64”h#Œ1.6.7”h%Œ
h1341992_0”h'K hhh(h)hŒ3libx11-common-cos7-aarch64-1.6.7-h1341992_0.tar.bz2”h+Œ 54938a0c4abfe454726e05ad45173eb6”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-aarch64-1.6.7-h1341992_0.tar.bz2”h0Œ@ca9837dc9d79f083ffd36d2d4af744d8da560e3c313c91b5500e23de48229ec2”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×äÖ“¥ãhEJ%% hFˆubh)”}”(hŒat-spi-cos7-x86_64”h#Œ1.32.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/at-spi-cos7-x86_64-1.32.0-h9b0a68f_1105.tar.bz2”h+Œ b96022959a41e4c9fd05b45b3ffac65e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-x86_64-1.32.0-h9b0a68f_1105.tar.bz2”h0Œ@04c6a7ef7b485be61364baa4f4cd5077fb87da0d63c811aa1a06a70157346d33”h2NhNh3(Œatk-cos7-x86_64 >=1.29.2 *_1105”Œ gtk2-cos7-x86_64 >=2.10.0 *_1105”Œ$libbonobo-cos7-x86_64 >=2.4.0 *_1105”Œ!orbit2-cos7-x86_64 >=2.6.0 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@r¹²-hEJG hFˆubh)”}”(hŒr-giant”h#Œ1.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-giant-1.3.1-r41hc72bb7e_0.tar.bz2”h+Œ dcadbb2f4735e49f79378776030ea3ea”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-giant-1.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@2c7ddb8fdb6bd9f56966c3c15bc7eb9ad2b43fd245214b8e4144186de1812822”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ+(tÜZhEJ½h hFˆubh)”}”(hŒr-ampliconduo”h#Œ1.1.1”h%Œr40h6115d3f_0”h'K hhh(h)hŒ)r-ampliconduo-1.1.1-r40h6115d3f_0.tar.bz2”h+Œ a59383d1a395e5169258dadd9e7357e2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ampliconduo-1.1.1-r40h6115d3f_0.tar.bz2”h0Œ@1f3859bd56f94ef575ac5d4b916639282d8ca58b520b91cd6de9d5991d2de969”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-xtable”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×³u^5hEJÆù hFˆubh)”}”(hŒcobra”h#Œ0.24.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!cobra-0.24.0-pyhd8ed1ab_0.tar.bz2”h+Œ dcb96e10a0942845ef342894fe7813e4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cobra-0.24.0-pyhd8ed1ab_0.tar.bz2”h0Œ@48d717a2cf8259be312695f6000e2dda2a60557afd4cdaa8affc0207891d8554”h2NhNh3(Œappdirs”Œdepinfo >=1.7”Œ	diskcache”Œfuture”Œhttpx”Œimportlib_resources”Œnumpy >=1.13”Œoptlang >=1.5.1”Œpandas >=1.0”Œpydantic >=1.6”Œpython >=3.6”Œpython-libsbml 5.19.2”Œ
rich >=8.0”Œruamel.yaml >=0.16”Œsix”Œswiglpk”t”h9h?h@Œ%LGPL-2.0-or-later OR GPL-2.0-or-later”hBŒGPL”hDGAØƒ µ`BhEJûx" hFˆubh)”}”(hŒ
r-leafsync”h#Œ0.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-leafsync-0.1.0-r40hc72bb7e_1.tar.bz2”h+Œ ed7536b7dcbfb71f4a257609ff2e8fff”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-leafsync-0.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@3b53977f4526c6724aaa2ffb4af31245c2677331d2a834e0af399b0add785be8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools >=0.3”Œr-htmlwidgets”Œr-leaflet >=2.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÿÛ¿|îhEJ°	 hFˆubh)”}”(hŒsysroot-cos6-x86_64”h#Œ2.12”h%Œha34e187_14”h'Khhh(h)hŒ,sysroot-cos6-x86_64-2.12-ha34e187_14.tar.bz2”h+Œ 68037737180c23996252d857d0b96a98”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos6-x86_64-2.12-ha34e187_14.tar.bz2”h0Œ@35c6a3c3d880928cbbe0094f38cb62219acd578b60827a09d61076ebeb718317”h2NhNh3Œsysroot_linux-64 2.12”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ=ÉÏ+hEMG3hFˆubh)”}”(hŒalsa-lib-cos7-aarch64”h#Œ1.1.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0alsa-lib-cos7-aarch64-1.1.8-h9d98e8f_104.tar.bz2”h+Œ f4a7e31d178018c45650b9c13dd3b885”h.Œ^https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos7-aarch64-1.1.8-h9d98e8f_104.tar.bz2”h0Œ@90b480070c17e8a8514a31cf22c5fefe59f263564c33886aa05125a24692c4a0”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉykçmhEJI hFˆubh)”}”(hŒclick-plugins”h#Œ1.1.1”h%Œpy_0”h'K hhh(h)hŒ click-plugins-1.1.1-py_0.tar.bz2”h+Œ 4fd2c6b53934bd7d96d1f3fdaf99b79f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1-py_0.tar.bz2”h0Œ@ddef6e559dde6673ee504b0e29dd814d36e22b6b9b1f519fa856ee268905bf92”h2NhNh3Œclick >=3.0”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×*Hr8å`hEM #hFˆubh)”}”(hŒr-drawer”h#Œ0.2.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-drawer-0.2.0.1-r42hc72bb7e_1.tar.bz2”h+Œ 6b291b86887e1fe7adaaf7cd3f810aa6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-drawer-0.2.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@6d75bb6a6ac0291893518573cda63bca15db9dd797335c0df47c5489ecf4bd3a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bsplus”Œr-glue”Œr-htmltools”Œ
r-magrittr”Œr-shiny”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ…Áƒ33hEJwP hFˆubh)”}”(hŒlibudev-devel-cos6-x86_64”h#Œ147”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libudev-devel-cos6-x86_64-147-h9d98e8f_1104.tar.bz2”h+Œ ba04aebc52f278ddc7180b037e3bb8f1”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libudev-devel-cos6-x86_64-147-h9d98e8f_1104.tar.bz2”h0Œ@68518dbe2bb830345989aee82e764ff755a3dbc0a10205aaa945b567e97ede80”h2NhNh3Œlibudev-cos6-x86_64 147”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}GIºhEMAphFˆubh)”}”(hŒlibibverbs-cos7-aarch64”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ2libibverbs-cos7-aarch64-22.4-ha826a6f_1103.tar.bz2”h+Œ a78672b112a6dfa6f0bf03931ada2d52”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-aarch64-22.4-ha826a6f_1103.tar.bz2”h0Œ@ab6413672a56ad0335f3080953efb673a19a9b4a0401180376afed45c2e0943d”h2NhNh3Œ$rdma-core-cos7-aarch64 ==22.4 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,Û$ÌÍhEJËW hFˆubh)”}”(hŒr-paireddata”h#Œ1.1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-paireddata-1.1.1-r41hc72bb7e_2.tar.bz2”h+Œ b32962f4eb26b1293b8a5684aba8a086”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paireddata-1.1.1-r41hc72bb7e_2.tar.bz2”h0Œ@186d9d749488fc0f422c05d677a503f0007ac1c9f2c87d4d76e14df38b683cfa”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gld”Œ	r-lattice”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ>#cÆ¨hEJÎð hFˆubh)”}”(hŒr-verification”h#Œ1.42”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ,r-verification-1.42-r42hc72bb7e_1003.tar.bz2”h+Œ 9ffda81c4c777a607d1b34ed2e5839ab”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-verification-1.42-r42hc72bb7e_1003.tar.bz2”h0Œ@c24a6afb6681da89b9a25e3221722ca818de941a1a5ed50ef775effdf569e6f0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-circstats”Œr-dtw”Œr-fields”Œr-mass”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ›4”(öhEJ/­ hFˆubh)”}”(hŒnumactl-libs-cos7-ppc64le”h#Œ2.0.12”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6numactl-libs-cos7-ppc64le-2.0.12-h9d98e8f_1104.tar.bz2”h+Œ 73561bacbd85edd95e0c98103e000e41”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/numactl-libs-cos7-ppc64le-2.0.12-h9d98e8f_1104.tar.bz2”h0Œ@d107673ae54e6fd91b337ef6ac6f57d3c9a24ea8103aec98c1e6cbf5af3147f5”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2 and GPLv2”hBŒGPL2”hDGA×âJ9G®hEM/ªhFˆubh)”}”(hŒr-ezcox”h#Œ1.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-ezcox-1.0.2-r42hc72bb7e_1.tar.bz2”h+Œ 9ad485ff8cad8eaab22fd403e10e8964”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ezcox-1.0.2-r42hc72bb7e_1.tar.bz2”h0Œ@e922c336053db1c384ee9081df1e757a977afc689b99b7c12ffc2e98a978c6f9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.8.3”Œr-forestmodel”Œ	r-ggplot2”Œr-magrittr >=1.5”Œr-purrr >=0.3.2”Œr-rlang >=0.1.2”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ°÷\Ý/hEJÃ®
 hFˆubh)”}”(hŒ	localdeps”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$localdeps-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ c239440c8bc9564787a64859e326c5fc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/localdeps-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9356b566b657395674f7b83d37b1f55104e678366ffe452db5773ba2baecd239”h2NhNh3Œconda >=4.13”Œconda-build >=3.22”Œpython >=3.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÏkÖHå`hEM–$hFˆubh)”}”(hŒjaraco.envs”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&jaraco.envs-2.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5eddc1b625d5f1fc062b6c129928aae3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/jaraco.envs-2.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2d32c380121465c3fd1b3da5f7caa92d6a116c86034ec640dcfc032f22e3e439”h2NhNh3(Œpath”Œpython >=3.7”Œtox”Œtox-venv”Œ
virtualenv”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ›*´[×
hEM·hFˆubh)”}”(hŒffmpy”h#Œ0.3.0”h%Œpyhb6f538c_0”h'K hhh(h)hŒ ffmpy-0.3.0-pyhb6f538c_0.tar.bz2”h+Œ 6ac23fb78d7234152221fea00aeb11c8”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ffmpy-0.3.0-pyhb6f538c_0.tar.bz2”h0Œ@19e8500b169244e2ab0df3d086c3040c0cd96631781bb16c9045a0b2e6ea6e61”h2NhNh3Œffmpeg”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØºe&òñªhEM¯(hFˆubh)”}”(hŒr-bayesplot”h#Œ1.10.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-bayesplot-1.10.0-r41hc72bb7e_0.tar.bz2”h+Œ aada5f6605cd04f77a2ce9292aec318c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-bayesplot-1.10.0-r41hc72bb7e_0.tar.bz2”h0Œ@cbd1f6a1454f180f3b9e2536aa4a2f0d055e26a31664bad43a997e7e0f4a5248”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.8.0”Œr-ggplot2 >=3.0.0”Œ
r-ggridges”Œr-glue”Œr-posterior”Œ
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r-liqueuer”h#Œ0.0.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ&r-liqueuer-0.0.1-r42hc72bb7e_3.tar.bz2”h+Œ 97ceedd0e3be00cde7b794cf7404f2f3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-liqueuer-0.0.1-r42hc72bb7e_3.tar.bz2”h0Œ@6e613775c7bfc01c6e038313379c8db71c344df92fc600f918bcc54aed81858d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-itertools”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒZ‹SøhEJ•f hFˆubh)”}”(hŒ
r-sylly.en”h#Œ0.1_3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-sylly.en-0.1_3-r36h6115d3f_1.tar.bz2”h+Œ 00757ed4abff1868c0a4ce542f7276ee”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sylly.en-0.1_3-r36h6115d3f_1.tar.bz2”h0Œ@1c5e6df87d280091af4d01f3b3c9fe22d08cd8dbc9b05023c0f78ad23d7b36e3”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-sylly”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«ð#mó¶hEJÅ‰ hFˆubh)”}”(hŒlibxfixes-devel-cos7-ppc64le”h#Œ5.0.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8libxfixes-devel-cos7-ppc64le-5.0.3-hdf0574f_1102.tar.bz2”h+Œ ca572cc16ed488f18a6e3b8972da8bc5”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-ppc64le-5.0.3-hdf0574f_1102.tar.bz2”h0Œ@c7b6d80217638ee17429d32c886c9a16d9c335e2bdfd38648eb295bf7af0a041”h2NhNh3Œ%libxfixes-cos7-ppc64le ==5.0.3 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ¨S…hEMf#hFˆubh)”}”(hŒr-gamlss.data”h#Œ6.0_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-gamlss.data-6.0_2-r40hc72bb7e_0.tar.bz2”h+Œ 85146aae676509e4adcb7fbb7107e6ce”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gamlss.data-6.0_2-r40hc72bb7e_0.tar.bz2”h0Œ@171fb2e5c4a2562172579ee9ff9df127b78c73a40f4cc238ebcabad3b8309cdc”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØaëÓË33hEJ­ hFˆubh)”}”(hŒr-geojsonlint”h#Œ0.4.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-geojsonlint-0.4.0-r36h6115d3f_1.tar.bz2”h+Œ 41664836b8d399a1e2df37d056f681f1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-geojsonlint-0.4.0-r36h6115d3f_1.tar.bz2”h0Œ@bf743dee8fcf4a8ef37bf8a228ad2a192f50398a2927206bfe3b0c3fd81339db”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crul >=0.7.0”Œr-jsonlite >=0.9.19”Œr-jsonvalidate >=1.0.0”Œr-v8”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬IVéyhEJT hFˆubh)”}”(hŒdjango-permissionedforms”h#Œ0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1django-permissionedforms-0.1-pyhd8ed1ab_0.tar.bz2”h+Œ d0c8a0e6697e1af077909b99b31998d5”h.Œ_https://conda.anaconda.org/conda-forge/noarch/django-permissionedforms-0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@bc816ac6a5166bd5912fab5b297dcc45bdb36a7fa03bdebab67073676fa0e02e”h2NhNh3Œdjango”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¨ÄbƒohEM$hFˆubh)”}”(hŒmoleculetda”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&moleculetda-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 09ad714abe81b9e0fbd87804902694dc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/moleculetda-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@078a5fe15ce97d0c901cef4f0fc8a3eb27e747bd313e7333dfb0fb919362793e”h2NhNh3(Œclick”Œdiode”Œdionysus”Œloguru”Œnumpy”Œpyclustering”Œpymatgen”Œpython >=3.8”Œscikit-learn”t”h9h?h@ŒBSD-3-Clause-LBNL”hDGAØÑ`‡µhEMAhFˆubh)”}”(hŒr-globaloptions”h#Œ0.1.2”h%Œr40ha770c72_0”h'K hhh(h)hŒ+r-globaloptions-0.1.2-r40ha770c72_0.tar.bz2”h+Œ 1b6db2ecd81c425f248161cc3de67146”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-globaloptions-0.1.2-r40ha770c72_0.tar.bz2”h0Œ@e2876dc3d3cbfa358d6afbaccfe56d31858684479fdcc67095ae02296e5b6057”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒGPL3”hDGAØ*âGT(öhEJRX hFˆubh)”}”(hŒr-narray”h#Œ0.4.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-narray-0.4.1.1-r41hc72bb7e_0.tar.bz2”h+Œ f5fdcbcf711cca62ad2c92909b0359de”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-narray-0.4.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@03d097f8c6f8d9104bb48dcad54f821cbf97c421a8757f0d30024518a6eed813”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-progress”Œ	r-stringr”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ+S QhshEJ\À hFˆubh)”}”(hŒlibxcb-cos7-aarch64”h#Œ1.13”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.libxcb-cos7-aarch64-1.13-hdf0574f_1102.tar.bz2”h+Œ c2143f84061b15a56fc88316dd607c17”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-aarch64-1.13-hdf0574f_1102.tar.bz2”h0Œ@d0f9b69dee9a44908069073da88293972cc5948198843be9eadf04bb13a4dac7”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµHÌÍhEJæ¸ hFˆubh)”}”(hŒopendp-smartnoise”h#Œ0.1.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.opendp-smartnoise-0.1.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 83139c8a8a212a34336308ae1ea815f5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/opendp-smartnoise-0.1.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@23ca9c6156a5b5b35f86a3477049bc5632c2c470daff8d16a303df38af40af14”h2NhNh3(Œantlr4-python3-runtime”Œmsrest”Œnumpy”Œopendp-smartnoise-core”Œpandas”Œpandasql”Œpython >=3.6”Œpyyaml”Œscipy”Œstatsmodels”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ;ÒH-VhEJö	 hFˆubh)”}”(hŒr-wordcloud2”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-wordcloud2-0.2.1-r41hc72bb7e_0.tar.bz2”h+Œ f6a16bed9c5cfc30820f10f3c511b9bf”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-wordcloud2-0.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@33e6a3eaec983068d0014e1456be7f63c5326555be91f8ffbcc6420f5467e0f7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-htmlwidgets”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+ÔË…hEJœB hFˆubh)”}”(hŒlibibumad-devel-cos6-x86_64”h#Œ1.3.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libibumad-devel-cos6-x86_64-1.3.9-h9d98e8f_104.tar.bz2”h+Œ d58a632de6045f808254e3d33f34611d”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libibumad-devel-cos6-x86_64-1.3.9-h9d98e8f_104.tar.bz2”h0Œ@561ee1e76c67a24fe6906a52a187b0f0e44393a527b0c89dd2242a18060a78b1”h2NhNh3Œ#libibumad-cos6-x86_64 ==1.3.9 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÉzvdZhEM=hFˆubh)”}”(hŒr-sentimentr”h#Œ2.9.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-sentimentr-2.9.0-r40hc72bb7e_0.tar.bz2”h+Œ d2744c69255ec5ee6ee8ea5db78f9fe6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sentimentr-2.9.0-r40hc72bb7e_0.tar.bz2”h0Œ@f2ebf3860b8504882d6d588009da9cce83bbfcdc51334d69df9aa2e81153063f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œ	r-ggplot2”Œr-lexicon >=1.0.0”Œ	r-stringi”Œ	r-syuzhet”Œr-textclean >=0.6.1”Œr-textshape >=1.3.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØYbþ¸å`hEJ¯L= hFˆubh)”}”(hŒr-superheat”h#Œ0.1.0”h%Œ	r351_1000”h'Mèhhh(h)hŒ#r-superheat-0.1.0-r351_1000.tar.bz2”h+Œ e210362a4822424155a0afd1b3b8f94a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-superheat-0.1.0-r351_1000.tar.bz2”h0Œ@2e2cce6f260db29e1b41e609497527562823f3fdc2857e275fa3c5336cbe2471”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-dplyr >=0.4.3”Œ
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r-histdata”h#Œ0.8_7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-histdata-0.8_7-r42hc72bb7e_1.tar.bz2”h+Œ 59e75096dc18c74c9475f2026518a9b9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-histdata-0.8_7-r42hc72bb7e_1.tar.bz2”h0Œ@5b9a73ea65e45a6987a2811aca897980a95cd588382876df5f282765e8cbe1e1”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒi^Ó33hEJý% hFˆubh)”}”(hŒmesa-libgl-cos7-x86_64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3mesa-libgl-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ ec25a6209d3afd452de459c5f32ba553”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@faa98d327cbc48e18720522ffd36cc338c42753d4b2a256902b472e92cf34c45”h2NhNh3Œ"libdrm-cos7-x86_64 >=2.4.83 *_1102”Œ)mesa-libglapi-cos7-x86_64 ==18.3.4 *_1102”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ŽgÎÙhEJ®Ü hFˆubh)”}”(hŒtinygp”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!tinygp-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 751e072ddc21bdb92754a4913655376f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/tinygp-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@00916acd80bb1c5c26af461cd7a503a702ff50a2b8b5d344b8a491c5d2d4fd7e”h2NhNh3Œjax”Œjaxlib”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØØ¨Å¿ß;hEMXŠhFˆubh)”}”(hŒr-daff”h#Œ0.3.5”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ"r-daff-0.3.5-r41hc72bb7e_3.tar.bz2”h+Œ 74470ce2bc26ce54ab860365c629c01a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-daff-0.3.5-r41hc72bb7e_3.tar.bz2”h0Œ@fc8b2ce2313a3260dfcd50edafb4c663598e7e4cd3fdc4ffd8339043e219fb60”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ$þ"ÐåhEJ‰% hFˆubh)”}”(hŒ
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Apache-2.0”hBŒAPACHE”hDGAØµÑ,)ë…hEJéz hFˆubh)”}”(hŒlibxshmfence-cos7-aarch64”h#Œ1.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libxshmfence-cos7-aarch64-1.2-h9b0a68f_105.tar.bz2”h+Œ dbce05561e3d279465b0261ef0281470”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-aarch64-1.2-h9b0a68f_105.tar.bz2”h0Œ@dd79c5cea55474538ddeb0225b8085ff845b4085195b3792cf532b238db11be0”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@WA 1'hEM#hFˆubh)”}”(hŒcymetric”h#Œ1.5.3”h%Œpy_0”h'K hhh(h)hŒcymetric-1.5.3-py_0.tar.bz2”h+Œ c340a4a0a7aa6f7040c9424052a62bbe”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/cymetric-1.5.3-py_0.tar.bz2”h0Œ@f01104f986714a45abfde30d85697467452c9d9b69bd463e2a3901523cf3b200”h2NhNh3(Œcyclus >=1.5.*”Œnumpy”Œpandas”Œpytables”Œpython”Œpython-graphviz”t”h9h?h@ŒBSD 3-clause”hBŒBSD”hEMçChFˆubh)”}”(hŒ
aiida-core”h#Œ1.6.8”h%Œpyh6c4a22f_2”h'Khhh(h)hŒ%aiida-core-1.6.8-pyh6c4a22f_2.tar.bz2”h+Œ af58ba7c95a188e8c7ae7bcdec8fcc66”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/aiida-core-1.6.8-pyh6c4a22f_2.tar.bz2”h0Œ@71c586c6fb1a16bcfd2d035e75a15172f47d048899781d46ad042544aca54027”h2NhNh3(Œaio-pika ~=6.6”Œaldjemy ~=0.9.1”Œalembic ~=1.2”Œarchive-path ~=0.2.1”Œcircus ~=0.17.1”Œclick ~=7.1”Œclick-completion ~=0.5.1”Œclick-config-file ~=0.6.0”Œclick-spinner ~=0.1.8”Œdjango ~=2.2”Œ
ete3 ~=3.1”Œipython ~=7.20”Œjinja2 ~=2.10”Œjsonschema ~=3.0”Œkiwipy ~=0.7.4”Œmarkupsafe <2.1”Œnumpy ~=1.17”Œpamqp ~=2.3”Œparamiko ~=2.7,>=2.7.2”Œpgsu ~=0.2.0”Œplumpy ~=0.20.0”Œpsutil ~=5.6”Œpsycopg2-binary ~=2.8.3”Œpython ~=3.7”Œpython-dateutil ~=2.8”Œpython-graphviz ~=0.13”Œpytz ~=2019.3”Œpyyaml ~=5.4”Œreentry ~=1.3”Œsimplejson ~=3.16”Œsqlalchemy ~=1.3.10”Œsqlalchemy-utils ~=0.36.0”Œtabulate ~=0.8.5”Œtqdm ~=4.45”Œtzlocal ~=2.0”Œupf_to_json ~=0.9.2”Œwrapt ~=1.11.1”t”h6Œaiida-core.services 1.6.8 2”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶‚òT1hEJœû
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r-baseline”h#Œ1.3_4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-baseline-1.3_4-r40hc72bb7e_0.tar.bz2”h+Œ 9ca2ef21a398a44fa748776e9250528f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-baseline-1.3_4-r40hc72bb7e_0.tar.bz2”h0Œ@47e23e2041835440d5465141d85e84acb29ce4b2f6be5f0f9a95909dacca8981”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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setuptools”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ«zšŽ{hEJw3t hFˆubh)”}”(hŒbeakerx”h#Œ1.4.1”h%Œpyhd8ed1ab_4”h'Khhh(h)hŒ"beakerx-1.4.1-pyhd8ed1ab_4.tar.bz2”h+Œ dc5342d8c4d21d93dbfad3d10ebe22b8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/beakerx-1.4.1-pyhd8ed1ab_4.tar.bz2”h0Œ@66deeb74caa200536c69202f31a45a864fd19a9807d40eaa9ed5d078806019e2”h2NhNh3(Œipywidgets >=7.0”Œmaven”Œnotebook >=5.7.4”Œnumpy”Œopenjdk 8.0.121”Œpandas”Œpy4j”Œpytest”Œpython >=3.6”Œrequests”Œwidgetsnbextension”t”h9h?h@Œ
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r-lazyeval”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØhLµ$1hEJÙ hFˆubh)”}”(hŒmosdef-gomc”h#Œ1.0.0”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ&mosdef-gomc-1.0.0-pyhd8ed1ab_2.tar.bz2”h+Œ 93b591997c430a6f7ac556fc0fdc8334”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/mosdef-gomc-1.0.0-pyhd8ed1ab_2.tar.bz2”h0Œ@4d127a282247defc77bc271ceb7f71a87dff5929e5df6fca93188687a1c65f72”h2NhNh3(Œforcefield-utilities 0.2.1.*”Œfoyer 0.11.3.*”Œgarnett”Œgmso 0.9.1.*”Œgsd”Œmbuild 0.15.1.*”Œpycifrw”Œpython >=3.8,<=3.9”Œsympy 1.10.*”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÛ[÷0“uhEJÚ· hFˆubh)”}”(hŒwaiting”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"waiting-1.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5811eaeae8924174d78561aefca49544”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/waiting-1.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@09984fd6842cc77f836aff042188c7311d8657c47e738b9675ab6b2623ebf5c5”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ|=Þ\hEM? hFˆubh)”}”(hŒlibxi-devel-cos7-ppc64le”h#Œ1.7.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libxi-devel-cos7-ppc64le-1.7.9-h9b0a68f_105.tar.bz2”h+Œ 5489c0b92202e7a6cc7b7476aa167d58”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-ppc64le-1.7.9-h9b0a68f_105.tar.bz2”h0Œ@178c6374c63568e00499a1b09e1cf1b9624607ce6e7366794406717b28fc8bb4”h2NhNh3Œ libxi-cos7-ppc64le ==1.7.9 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@³e`BhEJsv hFˆubh)”}”(hŒpydrill”h#Œ0.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pydrill-0.3.4-pyhd8ed1ab_0.tar.bz2”h+Œ b65a88a0aa0a21318bb4644918b3eb00”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pydrill-0.3.4-pyhd8ed1ab_0.tar.bz2”h0Œ@d78bd1bce3dae88f163fded158c477ac58f8b7a95b815d434bab0cd9491a0a91”h2NhNh3Œpython >=2.6”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ(<ºÈƒhEM—EhFˆubh)”}”(hŒoutput_viewer”h#Œ1.3.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ(output_viewer-1.3.3-pyhd8ed1ab_1.tar.bz2”h+Œ 309483f5f8f9f0b79e58e3437110fad3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/output_viewer-1.3.3-pyhd8ed1ab_1.tar.bz2”h0Œ@053726144befe2204d7be5d319a4302fe483cb84f3fa33ceb3f3f627cb3c440f”h2NhNh3Œpython >=3.6”Œrequests”†”h9h?h@ŒESGF”hDGAØ/ÙùþvÉhEJßX hFˆubh)”}”(hŒ	wikipedia”h#Œ1.4.0”h%Œpy_2”h'Khhh(h)hŒwikipedia-1.4.0-py_2.tar.bz2”h+Œ ffd9203c9d56dc6046599772408a414f”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/wikipedia-1.4.0-py_2.tar.bz2”h0Œ@985cd44533b6138d59582a579dc58f8318702e33f219b6885b1ac32b8cf80dc7”h2NhNh3Œbeautifulsoup4”Œpython”Œrequests >=2.0.0,<3.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×B(Fr~úhEM5hFˆubh)”}”(hŒ	r-default”h#Œ1.0.0”h%Œr36_1002”h'Mêhhh(h)hŒ r-default-1.0.0-r36_1002.tar.bz2”h+Œ d8662a75b10d569cdbbd3e60a9f2fc82”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-default-1.0.0-r36_1002.tar.bz2”h0Œ@a4e4e26406b82a0759020f44681918c64cb26b0d70c1ebf29e24e2a63af609b2”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬æ	°ÄœhEMxUhFˆubh)”}”(hŒbrainreg-segment”h#Œ0.2.16”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,brainreg-segment-0.2.16-pyhd8ed1ab_0.tar.bz2”h+Œ 13e2d6fb63a5bfe299cb261f30e1c379”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/brainreg-segment-0.2.16-pyhd8ed1ab_0.tar.bz2”h0Œ@dd11c090ee839ea68ee1e7ce7b39577338843180112a153d63214f8aa2a08b27”h2NhNh3(Œbrainglobe-napari-io”Œdask-core >=2.15.0”Œimio”Œimlib >=0.0.26”Œnapari >=0.4.5”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpandas”Œpytables”Œpython >=3.7”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¸öò¬hEMÄfhFˆubh)”}”(hŒ	r-infuser”h#Œ0.2.8”h%Œr41hc72bb7e_1005”h'Míhhh(h)hŒ(r-infuser-0.2.8-r41hc72bb7e_1005.tar.bz2”h+Œ a4c4747439d0b71b68f479ff6f8d375d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-infuser-0.2.8-r41hc72bb7e_1005.tar.bz2”h0Œ@d12f683b1847db6541f0d93176825792f7f71730bee2b5f9a4e14c623cc25995”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒa=hEMØŽhFˆubh)”}”(hŒ
r-cctensor”h#Œ1.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-cctensor-1.0.2-r42hc72bb7e_1.tar.bz2”h+Œ 236c3d16b083e3fe89e1bcdd224fa0ae”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cctensor-1.0.2-r42hc72bb7e_1.tar.bz2”h0Œ@4d3e6c12289ab24bd8f5a3e950536ad7e1e9032ac75d4d291df2d217019ed01f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fields”Œr-igraph”Œr-mass”Œ	r-rtensor”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÒœX&ffhEM€³hFˆubh)”}”(hŒ	pyfirmata”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒpyfirmata-1.1.0-py_0.tar.bz2”h+Œ 0a38505ecc7cf4e2af2814032f56bb27”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pyfirmata-1.1.0-py_0.tar.bz2”h0Œ@d09ec682d9ab86fb9384ff16a820a1a44c4b6e7499e399b5bf8e9e0cea827312”h2NhNh3Œpyserial”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×C (öhEM;hFˆubh)”}”(hŒ	asdfghjkl”h#Œ0.1a2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$asdfghjkl-0.1a2-pyhd8ed1ab_0.tar.bz2”h+Œ 62abf290e96db18a7f1008a06ad4395b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/asdfghjkl-0.1a2-pyhd8ed1ab_0.tar.bz2”h0Œ@092377cbda14cdeff83c67c57b5f2f4239b20fcb965a19e74425b30cfbb66ae5”h2NhNh3Œpython >=3.6”Œpytorch >=1.9.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØb@EÒòhEM
‚hFˆubh)”}”(hŒnapari-arboretum”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+napari-arboretum-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ dab10450f3932dea8393ab1ea8457a88”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/napari-arboretum-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@eca7f2ad0d175397a90c03e8e3bbbf538d8040bee46a66b7734e4ac5083a28de”h2NhNh3(Œmatplotlib-base”Œnapari >=0.4.0”Œnapari-matplotlib >=0.2.1”Œnumpy >=1.17.3”Œpandas”Œ	pooch >=1”Œpython >=3.8”Œqtpy”Œscikit-image”Œvispy”t”h9h?h@•      ŒMIT”hBŒMIT”hDGAØÊw‰ùº^hEMŸNhFˆubh)”}”(hŒmne-icalabel”h#Œ0.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%mne-icalabel-0.4-pyhd8ed1ab_1.tar.bz2”h+Œ 7ef28a5c4d188fe5fe47622eb487f521”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mne-icalabel-0.4-pyhd8ed1ab_1.tar.bz2”h0Œ@70c842d13aeaa1ddd31558b48e7454eda022c472ae011d767e945abf6ad9341e”h2NhNh3(Œimportlib-metadata”Œimportlib-resources”Œjoblib”Œ
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r-infotheo”Œ	r-lattice”Œr-matrix”t”h9hºh@Œ
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setuptools”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÕµÂhEMW*hFˆubh)”}”(hŒepics-pypdb”h#Œ0.1.5”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&epics-pypdb-0.1.5-pyh9f0ad1d_0.tar.bz2”h+Œ e99ce813eacb84522590c523fc4ec93c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/epics-pypdb-0.1.5-pyh9f0ad1d_0.tar.bz2”h0Œ@26bef48324fa747c64baf998e90ba51f868e803e76518698a69edde4bddcbc3a”h2NhNh3Œply”Œpython”†”h9h?h@Œ
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r-nlcoptim”h#Œ0.6”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-nlcoptim-0.6-r40h6115d3f_1.tar.bz2”h+Œ fbd4630911a39b23617c6e91a7a20bb8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nlcoptim-0.6-r40h6115d3f_1.tar.bz2”h0Œ@5a1736f4619fdec8e7a631a62f8c8446972073c9ddedb14a5ebe4346050db9ca”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”Œ
r-quadprog”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×­|€ÔþhEJE hFˆubh)”}”(hŒgraphviz2drawio”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*graphviz2drawio-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9de46f436c51435136461568d63d46fd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/graphviz2drawio-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@162a179d00755a6f84798b9de2d375acaf3eec3a1aced194818fe065a97be0fd”h2NhNh3(Œ
pygraphviz”Œpython >=3.5”Œraven”Œsvg.path”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØºÛ‚MÓhEJï hFˆubh)”}”(hŒ	metrolopy”h#Œ0.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$metrolopy-0.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ a54e18257586f7d954959e273e9a59f2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/metrolopy-0.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@6e638cac77356eef85f56b88f66242a6f29ce806d21ce3fb665721832ca0ec47”h2NhNh3(Œmatplotlib-base”Œnumpy >=1.13”Œpandas”Œpython >=3.5”Œscipy”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØŸÃŠ¥¸hEJÜ hFˆubh)”}”(hŒaws-amicleaner”h#Œ0.2.2”h%Œpy_1”h'Khhh(h)hŒ!aws-amicleaner-0.2.2-py_1.tar.bz2”h+Œ daea0da1b4c8dd0112c76c73a38b759d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/aws-amicleaner-0.2.2-py_1.tar.bz2”h0Œ@1ab61c4a26de0ccf33f4d6b8d582c446b62477cae87595cc7c2b353f403146de”h2NhNh3(Œawscli”Œ	blessings”Œboto”Œboto3”Œprettytable”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×~á¦ãThEMß6hFˆubh)”}”(hŒnss-cos7-ppc64le”h#Œ3.44.0”h%Œh1795305_101”h'Kehhh(h)hŒ,nss-cos7-ppc64le-3.44.0-h1795305_101.tar.bz2”h+Œ 3af697be7581eb05f8b35b7136bcdac0”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos7-ppc64le-3.44.0-h1795305_101.tar.bz2”h0Œ@9b537eecd7f857f8ae7c7f4e811fc64378216471319de373c8affd78507e1316”h2NhNh3Œnspr-cos7-ppc64le >=4.21.0”Œnss-util-cos7-ppc64le >=3.44.0”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇ‘‰™šhEJ^J hFˆubh)”}”(hŒpkgconfig-cos7-aarch64”h#Œ0.27.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ3pkgconfig-cos7-aarch64-0.27.1-ha826a6f_1103.tar.bz2”h+Œ eea5266413c5da57752937ce40638ac0”h.Œahttps://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-aarch64-0.27.1-ha826a6f_1103.tar.bz2”h0Œ@83b3ed9f8fa81599820ea374c20f9444d4bc3c9f4874c0fd662af386155c1a2e”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ/×‡®hEM¼ÐhFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_5”h'Khhh(h)hŒ fenics-ffc-2019.1.0-py_5.tar.bz2”h+Œ 74fc1aa6f3d74ed9005f8748e4bf610d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_5.tar.bz2”h0Œ@535218a709eb5f670f96c59d2246b83e977685070da39a6076ecc374b136c188”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×U¥^¤Ý/hEJâß hFˆubh)”}”(hŒ
lipyphilic”h#Œ0.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&lipyphilic-0.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8619144617c5d3585998e8a792cce03a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/lipyphilic-0.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a69da0411d9c794c1da1c1cbd8be9d21f3686a9759971b94fca2810eb8730008”h2NhNh3(Œcython”Œfreud >=2.4.1”Œ
matplotlib”Œmdanalysis >=2.0”Œmock”Œnumpy >=1.16”Œpandas >=1.1”Œpython >=3.6”Œscipy”Œseaborn”Œ
tidynamics”Œtqdm”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØs4¾,IºhEJG1 hFˆubh)”}”(hŒextern”h#Œ0.4.1”h%Œpy_0”h'K hhh(h)hŒextern-0.4.1-py_0.tar.bz2”h+Œ eceab18dab95ebc105260a5e013cf562”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/extern-0.4.1-py_0.tar.bz2”h0Œ@2f8cab37c61a0e4ac0f15eb86c408b48d0a8f6206da04d29b6930e5c94dc245e”h2NhNh3Œ
python >=3”…”h9h?h@ŒMIT”hBŒMIT”hDGA×vöæE¢hEM>!hFˆubh)”}”(hŒr-collapsibletree”h#Œ0.1.7”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ0r-collapsibletree-0.1.7-r41hc72bb7e_1002.tar.bz2”h+Œ f8194d817ea34698566ab73259b00bfc”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-collapsibletree-0.1.7-r41hc72bb7e_1002.tar.bz2”h0Œ@458866ff723d33b7b162db67b0b8ab90f8c09d30568f8ffcd88f2e4c69312d38”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.tree”Œr-htmlwidgets”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ,šMÓhEJ±K hFˆubh)”}”(hŒ	dask_traj”h#Œ0.2.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$dask_traj-0.2.2-pyh9f0ad1d_0.tar.bz2”h+Œ 7dc037f442bbd5cd6948941124c3a7c1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dask_traj-0.2.2-pyh9f0ad1d_0.tar.bz2”h0Œ@e943ba12eef1d198472c986f0c8d6f87fde6b08424f28a4f879bedbb025e2887”h2NhNh3(Œdask”Œmdtraj”Œnumpy”Œpython”t”h9h?h@ŒLGPL-2.1-or-later”hBŒLGPL”hDGA×Ö™…•/hEJfe hFˆubh)”}”(hŒjinja2”h#Œ3.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!jinja2-3.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 036d872c653780cb26e797e2e2f61b4c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/jinja2-3.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@97b1b7dc9f16ee92e9a3d61bdd876ca7aeca5b348356fde25d85d745eafb820c”h2NhNh3Œmarkupsafe >=2.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØbÊtc•hEJã hFˆubh)”}”(hŒlibnl-devel-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ3libnl-devel-cos7-ppc64le-1.1.4-ha826a6f_103.tar.bz2”h+Œ 002f55a855ddb6dd3d24d998e7df46b6”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-ppc64le-1.1.4-ha826a6f_103.tar.bz2”h0Œ@1d0337dab9a67ea82b3112c4699f7c4b16712fbd08d94def765bc7a98f359a9c”h2NhNh3Œ libnl-cos7-ppc64le ==1.1.4 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ0¯‘º^hEJÿ	 hFˆubh)”}”(hŒr-anom”h#Œ0.5”h%Œr36_1002”h'Mêhhh(h)hŒr-anom-0.5-r36_1002.tar.bz2”h+Œ 49f960a51ea5d06c7ca19f23b1cdc75e”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-anom-0.5-r36_1002.tar.bz2”h0Œ@23342dfec4cdfc5571ef0e4b7fdb3dd5d01cda55e8efb29562bb9e2b08b0af6c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-mcpan”Œ
r-multcomp”Œ
r-nparcomp”Œ	r-simcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­'‰7hEJ>8 hFˆubh)”}”(hŒbor”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒbor-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ ac562cece4d7d70e9a4bbba5e8d4e6e2”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/bor-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9056d3d88567d80efe7ac1a16f1fd1fbaca0ab7e81f09e8546b2f72d210eab06”h2NhNh3Œpython >=3.8”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ½¸‚¶‡+hEM](hFˆubh)”}”(hŒr-rmio”h#Œ0.4.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-rmio-0.4.0-r40hc72bb7e_0.tar.bz2”h+Œ e4ebfe1e05984baf6982a5a130584cc0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rmio-0.4.0-r40hc72bb7e_0.tar.bz2”h0Œ@ae7b255a92d190a6ccb12a066c34bf5f4bf8b4e593ff7e68a420ed9a70c02861”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-bigassertr”Œr-ff”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ…8Ê|“hEM-›hFˆubh)”}”(hŒuncurl”h#Œ0.0.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"uncurl-0.0.11-pyhd8ed1ab_0.tar.bz2”h+Œ 195d25ce5ea256976832c884b92ef1c2”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/uncurl-0.0.11-pyhd8ed1ab_0.tar.bz2”h0Œ@c2bbe91dd41577ee7d5172c1d1d32672c0f237ffbed4f3ef199633b7b09e2c18”h2NhNh3Œ	pyperclip”Œpython >=3.6”Œsix”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ9S33hEM-hFˆubh)”}”(hŒ	r-cowplot”h#Œ1.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-cowplot-1.1.1-r40hc72bb7e_0.tar.bz2”h+Œ b5ca8ab49852a152089d135971121c46”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cowplot-1.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@a0294fc72503d589013aa9ea08cd08df154ba82f77d1f102582b64448d25eca9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >2.2.1”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×û)s!ë…hEJÞO hFˆubh)”}”(hŒpypdf2”h#Œ1.26.0”h%Œpy_2”h'Khhh(h)hŒpypdf2-1.26.0-py_2.tar.bz2”h+Œ 6094ef1f5dd20b019c2b52712f49eace”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pypdf2-1.26.0-py_2.tar.bz2”h0Œ@1c3528fec3e917fed2d54c613d94f9739027e7e43723e4b4705eec884ca99db0”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖý	&éhEMÁhFˆubh)”}”(hŒr-sparsebnutils”h#Œ0.0.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-sparsebnutils-0.0.8-r41hc72bb7e_0.tar.bz2”h+Œ 3105cade0299ac3fe3c6f5318639e28b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-sparsebnutils-0.0.8-r41hc72bb7e_0.tar.bz2”h0Œ@523f9b0bd5bcb5c31621a9b0f735e78f68f61e0e378fe23e03a2396ec8cc7507”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”Œr-nnet”‡”h9hºh@Œ
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r-lazyeval”Œ
r-magrittr”Œr-protolite >=1.8”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ö½¸hEJ7Á hFˆubh)”}”(hŒpympler”h#Œ0.9”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ pympler-0.9-pyh9f0ad1d_0.tar.bz2”h+Œ 25eed1775791ec6cf6c60d21e2ae6dc2”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pympler-0.9-pyh9f0ad1d_0.tar.bz2”h0Œ@df9ac966d7cf9528324d890637b341158e1d09d95e9e4b07de412f4c15083bcc”h2NhNh3Œpython”…”h9h?h@ŒApache-2”hBŒApache”hDGA×áÝ©á‡hEJûv hFˆubh)”}”(hŒr-solvesaphe”h#Œ2.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-solvesaphe-2.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 2fb81630a82af4eb79eaf2a86765f441”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-solvesaphe-2.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@c979ba36e8010473fdc7758b81bcc5c0e1be5e28ac0a50659d6a0826733cb906”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ[f˜îE¢hEJš1 hFˆubh)”}”(hŒr-value”h#Œ2.2.2”h%Œr36ha770c72_2”h'Khhh(h)hŒ#r-value-2.2.2-r36ha770c72_2.tar.bz2”h+Œ be5eb055cbf22625f202090a797fd6a0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-value-2.2.2-r36ha770c72_2.tar.bz2”h0Œ@cafeadd641ab8f744bfb7d35c0d4ebbb942c265bd443c45043f012e4bcb188d6”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-evd”Œr-loader >=1.4.10”Œ
r-magrittr”Œ	r-pbapply”Œr-rcppeigen”Œr-rcurl”Œr-signal”Œr-transformer”Œr-verification”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ×È4í‘hEJò7qhFˆubh)”}”(hŒr-osmar”h#Œ1.1_7”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ&r-osmar-1.1_7-r42hc72bb7e_1004.tar.bz2”h+Œ 1d498b86e57757f68b856f2a9a12f11b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-osmar-1.1_7-r42hc72bb7e_1004.tar.bz2”h0Œ@713e26a85be43e063945dd6614554d786a52d4b205ac9aacd216de307195c131”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-geosphere”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ>gƒ÷ÏhEJƒ hFˆubh)”}”(hŒrb-fast_jsonapi”h#Œ1.5”h%Œ
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setuptools”Œtoolz”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ`ËrÜIºhEJ¨ hFˆubh)”}”(hŒphysiocurve”h#Œ	2022.7.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*physiocurve-2022.7.14-pyhd8ed1ab_0.tar.bz2”h+Œ 9cb143cd5ba327eef1edc59c419e7986”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/physiocurve-2022.7.14-pyhd8ed1ab_0.tar.bz2”h0Œ@26b2e7032112dfbcd1658d6ed669aee1069dee9a960ad36e5312645213126af3”h2NhNh3(Œneurokit2 0.2.0.*”Œnumba 0.55.2.*”Œpandas 1.4.*”Œpython >=3.8,<3.11”t”h9h?h@ŒISC”hDGAØ´÷s÷ÏhEMÉ4hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_3”h'Khhh(h)hŒ!fenics-fiat-2019.1.0-py_3.tar.bz2”h+Œ 1d8f12d48daa6da44d2bc89514959b5e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_3.tar.bz2”h0Œ@e149f534b9505fed9a2c4b45b2e1957a1cce30d4eabe4448ad5f4685f3a4032f”h2NhNh3Œnumpy”Œpython >=3.5”Œ	sympy >=1”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×@‚åg+hEJ+ hFˆubh)”}”(hŒazure-kusto-data”h#Œ0.0.45”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,azure-kusto-data-0.0.45-pyhd8ed1ab_0.tar.bz2”h+Œ c4e37409a831325ed76e6f68297fb7a9”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/azure-kusto-data-0.0.45-pyhd8ed1ab_0.tar.bz2”h0Œ@12a9a00a7dacc294b9d76e3cfad1de5b7331aa5d55ab1df1407702e9f3914348”h2NhNh3(Œadal >=1.0.0”Œmsrestazure >=0.4.14”Œpython >=3.5”Œpython-dateutil >=2.8.0”Œrequests >=2.13.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ=­ëhEMüMhFˆubh)”}”(hŒr-ada”h#Œ2.0_5”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ$r-ada-2.0_5-r41hc72bb7e_1003.tar.bz2”h+Œ 92c13dc93d017d3069836b07b7d57740”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ada-2.0_5-r41hc72bb7e_1003.tar.bz2”h0Œ@7a9fb35d8bc39bfe90dd54c2ec4f01097435ee2f38de34c3f83a3f4a29578361”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rpart”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑÅ«33hEJx› hFˆubh)”}”(hŒlibxext-devel-cos7-ppc64le”h#Œ1.3.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5libxext-devel-cos7-ppc64le-1.3.3-hdf0574f_102.tar.bz2”h+Œ cab8af46654ce8ff6f47cf4cde0cbd3c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-ppc64le-1.3.3-hdf0574f_102.tar.bz2”h0Œ@5407874e5ad5c4e58de621bef2de864398fb84ca2c0974f6ac53d4736184ac16”h2NhNh3Œ"libxext-cos7-ppc64le ==1.3.3 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+¹ƒdZhEJS hFˆubh)”}”(hŒ
r-flexplot”h#Œ0.7.4”h%Œr41ha770c72_0”h'K hhh(h)hŒ&r-flexplot-0.7.4-r41ha770c72_0.tar.bz2”h+Œ bda115e724643038cfccfc94aef0f3e8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-flexplot-0.7.4-r41ha770c72_0.tar.bz2”h0Œ@9d73ee4dd439aca5eba5ca1141692b42a7b2c76c50b653c6844a6620e9690065”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œr-ggsci”Œr-lme4”Œ
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r-alluvial”h#Œ0.1_2”h%Œr36_1001”h'Méhhh(h)hŒ!r-alluvial-0.1_2-r36_1001.tar.bz2”h+Œ 00ce2515778f1f75446a6bbd85bca954”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r36_1001.tar.bz2”h0Œ@f1cf84dd53474e33c24d8807892ab78025fd80a7bdf3244b910c80b60198f85d”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×L’¤›¦hEJy hFˆubh)”}”(hŒcopy-jdk-configs-cos6-x86_64”h#Œ3.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5copy-jdk-configs-cos6-x86_64-3.3-h9d98e8f_104.tar.bz2”h+Œ 3663b12e5a0608d7edb89288039e126a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos6-x86_64-3.3-h9d98e8f_104.tar.bz2”h0Œ@e78805828c0e73c5c70146fef8c0930e7e4c531c2510a3bc0adcb8c585e51c4a”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Éyã­?}hEM¤%hFˆubh)”}”(hŒdjango”h#Œ3.2.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!django-3.2.5-pyhd8ed1ab_0.tar.bz2”h+Œ b9b5b1b14f8089e46404954744c08252”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/django-3.2.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d3450d2a863e1a7f29a8a00e3bba2428cfa837a2cc743ecd5a9cebb0ba0d141c”h2NhNh3(Œasgiref >=3.3.2,<4”Œpython >=3.6”Œpytz”Œsqlparse >=0.2.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ7sGAhshEJ@Ñ< hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGAØÒFd‹DhEJÍ hFˆubh)”}”(hŒlibxml2-cos7-aarch64”h#Œ2.9.1”h%Œha826a6f_103”h'Kghhh(h)hŒ/libxml2-cos7-aarch64-2.9.1-ha826a6f_103.tar.bz2”h+Œ c86b5dac8202d76f284b93920ccc3308”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-aarch64-2.9.1-ha826a6f_103.tar.bz2”h0Œ@4424c86fb0eef0f805b386e2960283fa07ca81de70e025c31aabc06462795c5b”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ŒÄ“hEJ¡
 hFˆubh)”}”(hŒcookies”h#Œ2.2.1”h%Œpy_0”h'K hhh(h)hŒcookies-2.2.1-py_0.tar.bz2”h+Œ 3c9b1596c066a54514ae5a8576c7aa34”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/cookies-2.2.1-py_0.tar.bz2”h0Œ@314976bda845d43fa1bd20e48d08318e9677ba3ac5b3cc8e28810f87f6d5a4cc”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖå¢ÈÔÝ/hEMÿ’hFˆubh)”}”(hŒnapari-picasso”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)napari-picasso-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 54c26bdd88cae5931b5504e717c50e74”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/napari-picasso-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e7838aaf7ffb1cdcd14654afaf7f0dcfc32823a727252f4197c85e2cdcb0b963”h2NhNh3(Œ	dask-core”Œmagicgui”Œnapari”Œnumpy”Œpsutil”Œpython >=3.8”Œpytorch”Œqtpy”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ±§7ðõÃhEMh¡hFˆubh)”}”(hŒpciutils-devel-cos7-ppc64le”h#Œ3.5.1”h%Œha826a6f_103”h'Kghhh(h)hŒ6pciutils-devel-cos7-ppc64le-3.5.1-ha826a6f_103.tar.bz2”h+Œ 367c048b9238eca8a1348defc5bf3bc3”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-ppc64le-3.5.1-ha826a6f_103.tar.bz2”h0Œ@f16fd43d9484d4d3249befcfbad5f581771c1f3b9be2a0e6b16859dc4d90166f”h2NhNh3Œ#pciutils-cos7-ppc64le ==3.5.1 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ{±"JhEMxyhFˆubh)”}”(hŒlibsm-devel-cos6-x86_64”h#Œ1.2.1”h%Œha826a6f_103”h'Kghhh(h)hŒ2libsm-devel-cos6-x86_64-1.2.1-ha826a6f_103.tar.bz2”h+Œ 44ff33ab3ff434a76bf97f1bf84386be”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos6-x86_64-1.2.1-ha826a6f_103.tar.bz2”h0Œ@902056c221634e35fdd98b003f2e81045ae996670151bf6b463339b47193da13”h2NhNh3Œlibsm-cos6-x86_64 ==1.2.1 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{e7LhEMM"hFˆubh)”}”(hŒdataproperty”h#Œ0.55.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(dataproperty-0.55.0-pyhd8ed1ab_0.tar.bz2”h+Œ 53ad0454ef8eebad6b83e5c4c5b844e6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/dataproperty-0.55.0-pyhd8ed1ab_0.tar.bz2”h0Œ@54eb1ee931a25f48bd98c140fb10139095e13f69148f41b7dfa71acede8d3416”h2NhNh3(Œmbstrdecoder >=1.0.0”Œpython >=3.5”Œsetuptools >=38.3.0”Œtypepy >=1.1.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÛ¬ýôhEM{ZhFˆubh)”}”(hŒr-imgur”h#Œ1.0.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ#r-imgur-1.0.3-r40hc72bb7e_1.tar.bz2”h+Œ 9126eaf30c5c0c54ed1c159e67bb1fbb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-imgur-1.0.3-r40hc72bb7e_1.tar.bz2”h0Œ@18f3199ab8f62d05092c05642b9eb0ef5530a311272d3c123ea15d56e7b67306”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-httr”Œr-jpeg”Œr-png”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ#c®5?hEJ|Ý hFˆubh)”}”(hŒr-uptasticsearch”h#Œ0.4.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ,r-uptasticsearch-0.4.0-r41hc72bb7e_3.tar.bz2”h+Œ fd2c634d03cdff7cf9473f1e286a9e58”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-uptasticsearch-0.4.0-r41hc72bb7e_3.tar.bz2”h0Œ@4a67d88f23b223117a557e1d36394bf771f64662e35f19b27057c95e275cd8e5”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-futile.logger”Œr-httr”Œ
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allantools”h#Œ2019.9”h%Œpy_0”h'K hhh(h)hŒallantools-2019.9-py_0.tar.bz2”h+Œ 57e92e2c56bffb91c147c0c949c697b7”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/allantools-2019.9-py_0.tar.bz2”h0Œ@3a6cea05826db803f5916804758d015e91ff0ff4b8b3ab0f58acc0850c33a9e5”h2NhNh3Œnumpy”Œpython”Œscipy”‡”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGA×aãÜ÷¾whEMT”hFˆubh)”}”(hŒr-btyd”h#Œ2.4.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-btyd-2.4.3-r41hc72bb7e_1.tar.bz2”h+Œ beae619f6b4bb983a4b7e291564e44e6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-btyd-2.4.3-r41hc72bb7e_1.tar.bz2”h0Œ@41a6e3944ae1623ed726675286047d291993740ca2e15a6c9179c38728e19762”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-hypergeo”Œr-matrix”Œr-optimx”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ¢M;33hEJÇØ hFˆubh)”}”(hŒr-liftr”h#Œ0.9.2”h%Œr36_2”h'Khhh(h)hŒr-liftr-0.9.2-r36_2.tar.bz2”h+Œ bbf4944ad9cb34730f5b139f8755a432”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-liftr-0.9.2-r36_2.tar.bz2”h0Œ@529abf3f0f65ffb1c5819d7371dd1133b1511abc6569ed8155009a012ce542d0”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-knitr”Œr-rmarkdown”Œr-rstudioapi”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­K’ÄœhEJW* hFˆubh)”}”(hŒr-verification”h#Œ1.42”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ,r-verification-1.42-r41hc72bb7e_1003.tar.bz2”h+Œ 7491afb3a6e2ac47926861f9db4b340a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-verification-1.42-r41hc72bb7e_1003.tar.bz2”h0Œ@73a6b2ff99945cc7415d6e64ae0d3a2d02326a3b432469ffde33da1d488acfb1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-circstats”Œr-dtw”Œr-fields”Œr-mass”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ›3ÿ hEJ›® hFˆubh)”}”(hŒppscore”h#Œ1.2.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"ppscore-1.2.0-pyhd3deb0d_0.tar.bz2”h+Œ bf0878333ad2b6ed1b9600959d7d5dbb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ppscore-1.2.0-pyhd3deb0d_0.tar.bz2”h0Œ@36e6c21abf678246fd13a35599347bdc375224bd170a35d9690dcd0a305a4a09”h2NhNh3Œpandas”Œpython”Œscikit-learn”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ÿCa!%hEMÎ;hFˆubh)”}”(hŒr-argparser”h#Œ0.7.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ'r-argparser-0.7.1-r36hc72bb7e_0.tar.bz2”h+Œ 83022f046cdd279de370d7598c78fc7d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-argparser-0.7.1-r36hc72bb7e_0.tar.bz2”h0Œ@d619d53f1f2947c0ee4b4eea2692343090b9f60b571fc2723cee228fcfbc3b19”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ~ï\ÌÍhEJŒ! hFˆubh)”}”(hŒjdot”h#Œ0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒjdot-0.5-pyhd8ed1ab_0.tar.bz2”h+Œ ef2f46d5b7708d99e7ecbed07a9b543b”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/jdot-0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@becbdda95be5ca8fdc512174626d17ee5b7becb5b7381f5ebf3137c9fec8d5dd”h2NhNh3Œpython >=3.7”…”h9h?h@Œ
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r-magrittr”Œr-plotly”Œr-purrr”Œr-rvenn”Œr-sf”Œr-tibble”Œr-yulab.utils”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÇ×ì±&éhEJ'A hFˆubh)”}”(hŒr-sentimentr”h#Œ2.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-sentimentr-2.9.0-r41hc72bb7e_0.tar.bz2”h+Œ 3cd60017e8922726edc4433ccd3fb8fc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sentimentr-2.9.0-r41hc72bb7e_0.tar.bz2”h0Œ@2b76cb321b9511eff0298f9792c59bd5895c55be0ef2418fc32e54d4c69f0879”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”Œr-lexicon >=1.0.0”Œ	r-stringi”Œ	r-syuzhet”Œr-textclean >=0.6.1”Œr-textshape >=1.3.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØYc:\hEJîP= hFˆubh)”}”(hŒr-intergraph”h#Œ2.0_2”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ+r-intergraph-2.0_2-r36h6115d3f_1002.tar.bz2”h+Œ 9b73524f6b367753647490361d51e002”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-intergraph-2.0_2-r36h6115d3f_1002.tar.bz2”h0Œ@4aa66034629e75e3d85d56768cdeb5e962c08a788fb0f82d27bbcadb96150b0b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-igraph >=0.6_0”Œr-network >=1.4_1_1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬¹@ØQìhEJ>= hFˆubh)”}”(hŒawesome-slugify”h#Œ1.6.5”h%Œpy_5”h'Khhh(h)hŒ"awesome-slugify-1.6.5-py_5.tar.bz2”h+Œ 5b924b173a02792140d4fa9bca43e74b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/awesome-slugify-1.6.5-py_5.tar.bz2”h0Œ@3009001336d226b75c8946c0f3f158aaaf5a586e2ee2c7dd299c732f97e99baf”h2NhNh3Œpython”Œregex”Œunidecode >=1.1.1,<2.0”‡”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×E¡‚U²-hEMÖ*hFˆubh)”}”(hŒ	r-metrics”h#Œ0.1.4”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-metrics-0.1.4-r36h6115d3f_1002.tar.bz2”h+Œ 2f193b0caad4c1825848eb4a8d50d65b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-metrics-0.1.4-r36h6115d3f_1002.tar.bz2”h0Œ@a90d42005047ffc9d40cc9d5d21f8115539ea9de1b185e57b483a4f43a0fc15a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×¬	•>ffhEJa hFˆubh)”}”(hŒ
r-rcdklibs”h#Œ2.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-rcdklibs-2.8-r40hc72bb7e_0.tar.bz2”h+Œ 2ee94c10fb837e26a5c3389ac1a630fc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rcdklibs-2.8-r40hc72bb7e_0.tar.bz2”h0Œ@d1ebc7607a62d3fbfa1abcb2a73ad596d08a95200f5bd93e5d28c71cc7841ed8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjava >=0.9_8”†”h9hºh@ŒLGPL”hBŒLGPL”hDGAØÌHêÖE¢hEJ6ÇehFˆubh)”}”(hŒr-dapr”h#Œ0.0.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-dapr-0.0.3-r42hc72bb7e_2.tar.bz2”h+Œ b13033e6344009de41c4ac8b58cfe1d1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-dapr-0.0.3-r42hc72bb7e_2.tar.bz2”h0Œ@86e93eb5a9988f5e20776db21a8c63d0e56f981829c7f7941e2f68e6d95218b9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ9V»çmhEJm‘ hFˆubh)”}”(hŒclick”h#Œ6.7”h%Œpy_1”h'Khhh(h)hŒclick-6.7-py_1.tar.bz2”h+Œ 7e678ee655772565584184a3d692936e”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/click-6.7-py_1.tar.bz2”h0Œ@5f3b985df42498bc9a53fb73ea551d3f7c2e7b4f4ea754b738201f66664d35e4”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hEM8ÖhFˆubh)”}”(hŒnetcdf-flattener”h#Œ1.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+netcdf-flattener-1.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ d498f19357321ea9cf143401c7fbf7ce”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/netcdf-flattener-1.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@bdd2bc738adbc6181135191ba93cd670bd0e7b4b423a1d2078eb50b27f37b158”h2NhNh3Œnetcdf4”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×Ç#ÿJ\hEM½JhFˆubh)”}”(hŒr-yarrr”h#Œ0.1.5”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-yarrr-0.1.5-r36h6115d3f_1002.tar.bz2”h+Œ 7906d5122e73ce3bcdd6a3306bb1ac11”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-yarrr-0.1.5-r36h6115d3f_1002.tar.bz2”h0Œ@478815fc1ae96d6dbc55db9ab3054e2f11fe716af425d07fa0d85e3ff5a09ca3”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-bayesfactor”Œ
r-circlize”Œr-jpeg”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬ xîhEJc8< hFˆubh)”}”(hŒ
r-lambda.r”h#Œ1.2.4”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-lambda.r-1.2.4-r35h6115d3f_0.tar.bz2”h+Œ ef7ec18e082b50b511664f8ab45ef60a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lambda.r-1.2.4-r35h6115d3f_0.tar.bz2”h0Œ@9057dfca6cb7997760bc9c9779d90d20557eabb00fb32253ba0f9b3d4a075f1b”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-formatr”†”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×`—Y‡\)hEJ’× hFˆubh)”}”(hŒpybboxes”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pybboxes-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 8bc399325fe3a19e8bfc99b06f2532e7”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pybboxes-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@251b70b28cbbbd7e62d01b6c650d7d0c73d97965bc73490b79ae6af4aac43946”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ·	/JñªhEM>hFˆubh)”}”(hŒflake8-cognitive-complexity”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6flake8-cognitive-complexity-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 16f868662598f8fa170462c7430ad09f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/flake8-cognitive-complexity-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c0e0c7dbdbbec8b3afcdd1899bc849c1448a7009da56f77202f5c69152e1c236”h2NhNh3Œcognitive_complexity”Œpython >=3.6”Œ
setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ„‹ å`hEMëhFˆubh)”}”(hŒ
ipywidgets”h#Œ7.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%ipywidgets-7.7.2-pyhd8ed1ab_0.tar.bz2”h+Œ cf7965a899292d3f5e253603eb92fada”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ipywidgets-7.7.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f65a52fab646fdf5e8fea6d0fccbc24d2f5eb4c8001004886e4005fd0193d882”h2NhNh3(Œipykernel >=4.5.1”Œipython >=4.0.0”Œipython_genutils >=0.2.0,<0.3.0”Œ!jupyterlab_widgets >=1.0.0,<2.0.0”Œnbformat >=4.2.0”Œpython >=3.3”Œtraitlets >=4.3.1,<6.0.0”Œ!widgetsnbextension >=3.6.0,<3.7.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿ñËq™šhEJç hFˆubh)”}”(hŒdask-ndfilters”h#Œ0.1.3”h%Œpy_0”h'K hhh(h)hŒ!dask-ndfilters-0.1.3-py_0.tar.bz2”h+Œ de80a2063b3dc51d4e7de4c4c2bb564d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/dask-ndfilters-0.1.3-py_0.tar.bz2”h0Œ@a21d53f82832d32a93fa8743f877baa64405288fc96573f03a1f79cd06bca5cf”h2NhNh3(Œdask”Œnumpy”Œpython”Œscipy”t”h9h?h@ŒBSD 3-Clause”hDGAÖÛ=ªÀƒhEMÀ0hFˆubh)”}”(hŒmultipledispatch”h#Œ0.6.0”h%Œpy_0”h'K hhh(h)hŒ#multipledispatch-0.6.0-py_0.tar.bz2”h+Œ 1073dc92c8f247d94ac14dd79ca0bbec”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/multipledispatch-0.6.0-py_0.tar.bz2”h0Œ@6d5839f75780475ad4dffe018026d493e26076f95862550a48424b4d7f6689d8”h2NhNh3Œpython”Œsix”†”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖÞåç|îhEM0hFˆubh)”}”(hŒ	nevergrad”h#Œ0.4.3.post4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*nevergrad-0.4.3.post4-pyhd8ed1ab_0.tar.bz2”h+Œ a678a7e60944e92c7a7f0a2724f765b5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/nevergrad-0.4.3.post4-pyhd8ed1ab_0.tar.bz2”h0Œ@faac89362fb6a5fa6b17d61848e07169e061b93ab54dfdb74383cc5748272c68”h2NhNh3(Œbayesian-optimization >=1.1.0”Œcdt”Œcma >=2.6.0”Œfcmaes”Œgym”Œimage-quality”Œiohexperimenter”Œkoncept”Œlpips”Œmatplotlib-base”Œmixsimulator”Œnumpy >=1.15.0”Œopencv”Œpandas >=0.23.4”Œpillow”Œprophet”Œpyproj”Œpython >=3.6”Œpytorch”Œrequests”Œtorchvision”Œtyping_extensions >=3.6.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ1ÓF(ƒhEJ!é hFˆubh)”}”(hŒlibxfixes-devel-cos7-ppc64le”h#Œ5.0.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7libxfixes-devel-cos7-ppc64le-5.0.3-hdf0574f_102.tar.bz2”h+Œ c258061ce9040592710c0967e711d76a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-ppc64le-5.0.3-hdf0574f_102.tar.bz2”h0Œ@2a234ffbe1aea1d02cf351106f396cf3ae67e9070bfea4235128f6ba03831b92”h2NhNh3Œ$libxfixes-cos7-ppc64le ==5.0.3 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å·Ù™šhEM[#hFˆubh)”}”(hŒr-hierfstat”h#Œ0.5_11”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-hierfstat-0.5_11-r41hc72bb7e_0.tar.bz2”h+Œ ff42d12c96c9c78b587db9aaccee85c8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hierfstat-0.5_11-r41hc72bb7e_0.tar.bz2”h0Œ@cb477377d561a358f5c396b346c7c8c152ef3a2044c53101682c77c572ab45cc”h2NhNh3(Œr-ade4”Œ
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r-nsprcomp”h#Œ0.5.1_2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-nsprcomp-0.5.1_2-r36h6115d3f_1.tar.bz2”h+Œ 3f6867ee2e091778f3ddf5cbef3a1494”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-nsprcomp-0.5.1_2-r36h6115d3f_1.tar.bz2”h0Œ@f9198aa778c6e0a3fafd831fad8ff73a78406ad8c39d0bcd1e4d2c62b4a24cd4”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ž®ù©ühEJ1. hFˆubh)”}”(hŒ
r-gwidgets”h#Œ0.0_54.2”h%Œr42ha770c72_2”h'Khhh(h)hŒ)r-gwidgets-0.0_54.2-r42ha770c72_2.tar.bz2”h+Œ d5ad3495f70e4dd52cf4c3ff18c6a065”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets-0.0_54.2-r42ha770c72_2.tar.bz2”h0Œ@ed2570391a0309e4d12e4a35326ff91ea69bfe7daf69a745a7a882cf75ec2f8c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ,Þ·l‹hEJ?× hFˆubh)”}”(hŒlibxinerama-devel-cos6-x86_64”h#Œ1.1.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ9libxinerama-devel-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h+Œ f29f6b928c49ad011c7ba81c7ccfffa8”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h0Œ@a053f0f215891242fa5a04de8f55059da7a507593bc67dd42d08b5010a9f6146”h2NhNh3Œ&libxinerama-cos6-x86_64 ==1.1.3 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµo¼“hEM»$hFˆubh)”}”(hŒr-grimport2”h#Œ0.2_0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-grimport2-0.2_0-r35h6115d3f_0.tar.bz2”h+Œ 11e17a511f4de4e1a56f7b4020c76c2e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-grimport2-0.2_0-r35h6115d3f_0.tar.bz2”h0Œ@89f02e9133266b35e95ba8109796df95121305d5f013a441254ca562e1ad55e4”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-base64enc”Œr-jpeg”Œr-png”Œr-xml”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×€@P›"ÑhEJeÓ hFˆubh)”}”(hŒr-mlogit”h#Œ1.1_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-mlogit-1.1_1-r41hc72bb7e_0.tar.bz2”h+Œ 2f4144f139c52cd4741f2ad149b808c4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mlogit-1.1_1-r41hc72bb7e_0.tar.bz2”h0Œ@4d51a1a2ac0a7d3e4a0b761460c873ef1267a8578c6d2ce19b69355e1f1ce6b6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dfidx”Œ	r-formula”Œr-lmtest”Œr-mass”Œr-rdpack”Œ	r-statmod”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+Ÿ‡—PhEJD hFˆubh)”}”(hŒqds-sdk”h#Œ1.16.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#qds-sdk-1.16.1-pyhd8ed1ab_0.tar.bz2”h+Œ e8502241ea1aeeae726f80c58ba6e164”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/qds-sdk-1.16.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4bf75889236540616707a906c528a29f4353874e66e512b8feb094529d3a7fdc”h2NhNh3(Œboto >=2.1.1”Œinflection >=0.3.1”Œpython >=3.6”Œrequests >=1.0.3”Œsix >=1.2.0”Œurllib3 >=1.0.2”t”h9h?h@Œ
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Apache-2.0”hBŒApache”hDGAØg ÐþhEJ6ö hFˆubh)”}”(hŒr-prettyunits”h#Œ1.1.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-prettyunits-1.1.1-r35h6115d3f_0.tar.bz2”h+Œ e69f4d97b0c4eb3cd138348e717dc45d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prettyunits-1.1.1-r35h6115d3f_0.tar.bz2”h0Œ@8dc8561ef5a6bb8f3edc22aac39bafc8b4014926ec3c621e1ac134973ddb5c18”h2NhNh3Œr-assertthat”Œr-base >=3.5,<3.6.0a0”Œ
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r-markdown”Œ	r-stringi”t”h9hºh@Œ
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GPL (>= 2)”hBŒGPL3”hDGAØ+\ûC–hEJé hFˆubh)”}”(hŒtextgrid”h#Œ1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!textgrid-1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 3bff703c38c409c52395c6dd68c1f8b7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/textgrid-1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@19d2e7806c7b5c52f25c3efcd46905f694954c8b9ff5a303d0fee0385508272c”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØŒAÿ\)hEMÙ/hFˆubh)”}”(hŒr-ggpolypath”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-ggpolypath-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ ea670b6147507697614ffb2c2c06af77”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ggpolypath-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@e618bd9eca48bd8f6e1b025154664bceac1bac76e173dd88fef09d752fa8ba9a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.1.0”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒqñ&éhEJ*’ hFˆubh)”}”(hŒ	r-logging”h#Œ0.10_108”h%Œr42ha770c72_3”h'Khhh(h)hŒ(r-logging-0.10_108-r42ha770c72_3.tar.bz2”h+Œ 4500c645cc90606fb98af2f7f7000e68”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-logging-0.10_108-r42ha770c72_3.tar.bz2”h0Œ@034e4e1aff3ddf933031cd577f7143ebe24c0a2384d1e1659d2a5cfd005d76b9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ&‚¿l‹hEJÇÎ hFˆubh)”}”(hŒ	r-ppclust”h#Œ1.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-ppclust-1.1.0-r40hc72bb7e_1.tar.bz2”h+Œ fcc7cd139569957527169e706d3726f5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ppclust-1.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@0a46980332051e40d6ca8f3ced85087ea4b077659d933f5b1fb30524d3e49ef7”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-inaparc”Œr-mass”‡”h9hºh@Œ
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Apache-2.0”hBŒApache”hDGA×åÍÃƒ×
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r-magrittr”Œr-rcolorbrewer”Œr-rlang”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬È\³×
hEJh÷
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r-openxlsx”Œr-plyr”Œr-runit”Œr-xtable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐýÈé™šhEJDu hFˆubh)”}”(hŒgiturlparse.py”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)giturlparse.py-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 93b1a20f180809e633b8fcbf1ac04236”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/giturlparse.py-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@bba7b1fc5273ebd1d9d97312f55e423add45d3303a0dbdd2448441473c870a80”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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hc42de5b_0”h'K hhh(h)hŒ5rb-aws-codedeploy-agent-1.0.1.1597-hc42de5b_0.tar.bz2”h+Œ fe0d2fb17aea565a9fd2233d2b260946”h.Œchttps://conda.anaconda.org/conda-forge/noarch/rb-aws-codedeploy-agent-1.0.1.1597-hc42de5b_0.tar.bz2”h0Œ@7132b46ba3892b0001fc2d2ead3afeb96b0d3b2818df81224b3adb836924c43a”h2NhNh3(Œ#rb-archive-tar-minitar >=0.5.2,<0.6”Œrb-aws-sdk-core >=2.9,<3”Œrb-concurrent-ruby >=1.0.5,<1.1”Œrb-docopt >=0.5.0,<0.6”Œrb-gli >=2.5,<3”Œrb-json >=1.6,<2”Œrb-logging >=1.8,<2”Œrb-rubyzip >=1.1.0,<1.2”Œrb-simple_pid >=0.2.1,<0.3”Œruby >=2.6.3,<2.7.0a0”t”h9hºh@Œ
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qdarkstyle”h#Œ2.8.1”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ%qdarkstyle-2.8.1-pyhd8ed1ab_2.tar.bz2”h+Œ e0c8ce5eec5f5ff7dcc480034c6d2526”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/qdarkstyle-2.8.1-pyhd8ed1ab_2.tar.bz2”h0Œ@03b16df09efb4bf0fcb67fe3f6158abc82babb09659bacc5da48c8cbb42fe468”h2NhNh3Œhelpdev >=0.6.10”Œpython >=2.7”Œ
qtpy >=1.9”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ê$?å`hEJþi hFˆubh)”}”(hŒr-reader”h#Œ1.0.6”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-reader-1.0.6-r40h6115d3f_1.tar.bz2”h+Œ 62382496078118ef3f180e54402a8d39”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reader-1.0.6-r40h6115d3f_1.tar.bz2”h0Œ@eba9a1c883dd1fe51ed67366481f5f8ebf9a5a48bc2335195ba33b7a9d867b7e”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ncmisc >=1.1”†”h9hºh@Œ
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Apache-2.0”hBŒAPACHE”hDGA×üûÓ¥¸hEJµ9 hFˆubh)”}”(hŒr-matrixlaplacian”h#Œ1.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ+r-matrixlaplacian-1.0-r42hc72bb7e_0.tar.bz2”h+Œ 2ee543df6f98981f25aa728c8d9dfeac”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-matrixlaplacian-1.0-r42hc72bb7e_0.tar.bz2”h0Œ@998e47a0db093cc5514b2a1e04d3c40cc2f6c3ee3fd381a612e56846ce5f6e09”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-scatterplot3d”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÙ§§ãt¼hEMùXhFˆubh)”}”(hŒlsst-sphinx-bootstrap-theme”h#Œ0.2.2”h%Œpy_0”h'K hhh(h)hŒ.lsst-sphinx-bootstrap-theme-0.2.2-py_0.tar.bz2”h+Œ 88c5ed936dc1d3a0ca393ad13787dc9b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/lsst-sphinx-bootstrap-theme-0.2.2-py_0.tar.bz2”h0Œ@c5ff666a14ae4a8f27049e7257ffb039a5fe3b3bb5d121e06cc0fd25b14ef8be”h2NhNh3Œpython >=3.0”Œ
setuptools”†”h9h?h@ŒBSD”hBŒBSD”hDGA×‹[MhEMáShFˆubh)”}”(hŒglib-networking-cos7-aarch64”h#Œ2.56.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8glib-networking-cos7-aarch64-2.56.1-h9d98e8f_104.tar.bz2”h+Œ 6d1060bb9d846fb098c0764f8603ffae”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/glib-networking-cos7-aarch64-2.56.1-h9d98e8f_104.tar.bz2”h0Œ@5ea378d080798c17592ffce078b69ddec945850281e6d7e4e58eb293626bd32d”h2NhNh3Œ!glib2-cos7-aarch64 >=2.55.1 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É{Uü9XhEJC hFˆubh)”}”(hŒlibjpeg-turbo-cos7-ppc64le”h#Œ1.2.90”h%Œha826a6f_103”h'Kghhh(h)hŒ6libjpeg-turbo-cos7-ppc64le-1.2.90-ha826a6f_103.tar.bz2”h+Œ 2584406f33074037123216af4b73a8f2”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-ppc64le-1.2.90-ha826a6f_103.tar.bz2”h0Œ@718f206e44148a97f279486e3520c0d8f70ec5a5fd752125c9c004bcea8ff6df”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒIJG”hBŒOther”hDGA×Æ/UMÂhEJt. hFˆubh)”}”(hŒlibxrender-devel-cos7-ppc64le”h#Œ0.9.10”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:libxrender-devel-cos7-ppc64le-0.9.10-h9b0a68f_1105.tar.bz2”h+Œ a0c8077f1ea5ec76651c49186187a457”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-ppc64le-0.9.10-h9b0a68f_1105.tar.bz2”h0Œ@29df488c75de218dd6e2eb82fa0d383df23c5639681746d6512421e0bbe6db23”h2NhNh3Œ'libxrender-cos7-ppc64le ==0.9.10 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‘OÃ¥ãhEMç0hFˆubh)”}”(hŒr-ezcox”h#Œ1.0.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-ezcox-1.0.2-r40hc72bb7e_0.tar.bz2”h+Œ 1f917949e2442a5b3b73f7d1b52eb515”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ezcox-1.0.2-r40hc72bb7e_0.tar.bz2”h0Œ@2de6d68314e805625ecdb293ac52e225c9e242471c88787eeddbd232e3f5650c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.8.3”Œr-forestmodel”Œ	r-ggplot2”Œr-magrittr >=1.5”Œr-purrr >=0.3.2”Œr-rlang >=0.1.2”Œ
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r-measures”h#Œ0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-measures-0.3-r41hc72bb7e_0.tar.bz2”h+Œ eed7fa8b947d66abf9eaa1b263b8677c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-measures-0.3-r41hc72bb7e_0.tar.bz2”h0Œ@51b51aebe7dc4b983a435e0311b70d46a3688a9adde61e0ff731eb99667542c3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ©‡²hEJ	" hFˆubh)”}”(hŒr-ncar”h#Œ0.4.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ncar-0.4.5-r41hc72bb7e_0.tar.bz2”h+Œ 5c25de54a506b29fe85ef5363666d1fe”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ncar-0.4.5-r41hc72bb7e_0.tar.bz2”h0Œ@0e30d2b1402330391b1324105f782130421a9e3612d447f18dad0e9d37e90fa0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-noncompart >=0.4.9”Œr-rtf”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ5<D9XhEJÃ hFˆubh)”}”(hŒ	r-timeroc”h#Œ0.4”h%Œr35h6115d3f_0”h'K hhh(h)hŒ#r-timeroc-0.4-r35h6115d3f_0.tar.bz2”h+Œ 45a509d265bb26a4cefccadcb76ee035”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-timeroc-0.4-r35h6115d3f_0.tar.bz2”h0Œ@3ac9797792c7072c5485383ec7ffc74ebc0e92b3bc928715b640207cfa9d9400”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-mvtnorm >=1.0_1”Œr-pec >=2.4.4”‡”h9hºh@Œ
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r-jsonlite”Œr-leafem”Œr-leaflet >=2.0.2”Œ
r-magrittr”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÈ+e/ïžhEJ%c? hFˆubh)”}”(hŒlibrdmacm-devel-cos6-x86_64”h#Œ1.0.21”h%Œh2da7399_1100”h'MLhhh(h)hŒ8librdmacm-devel-cos6-x86_64-1.0.21-h2da7399_1100.tar.bz2”h+Œ 7a7560239d4a338fd083953712f71c3b”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/librdmacm-devel-cos6-x86_64-1.0.21-h2da7399_1100.tar.bz2”h0Œ@4005806496de01e7bb86223899cca32ef0b369fbc1fb11f4bfda007f234409db”h2NhNh3Œlibrdmacm-cos6-x86_64 1.0.21”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Ä·~(“uhEJu hFˆubh)”}”(hŒ	r-rentrez”h#Œ1.2.3”h%Œr42h785f33e_1”h'Khhh(h)hŒ%r-rentrez-1.2.3-r42h785f33e_1.tar.bz2”h+Œ f3675bf958b1f594e33223078b9e04d1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rentrez-1.2.3-r42h785f33e_1.tar.bz2”h0Œ@b6a4791e5e64deac3fa7122ba3a3fd6cf7f93f92d0a0a6e74b3f9d9fd96bc018”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr >=0.5”Œr-jsonlite >=0.9”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÚÓ*°!hEJè@ hFˆubh)”}”(hŒnetworkx”h#Œ2.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#networkx-2.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ e4a2923d333422f20139cafbbf6b2194”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/networkx-2.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7c77423defe0af611af1dc875c56f2f7373b420595fc1f496296fcb644f8d916”h2NhNh3Œpython >=3.8”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡X‘)‡hEJÆ hFˆubh)”}”(hŒr-ncdunnett”h#Œ1.1.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ*r-ncdunnett-1.1.0-r36h6115d3f_1002.tar.bz2”h+Œ 41ca439340011d18236d82dc706d880b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ncdunnett-1.1.0-r36h6115d3f_1002.tar.bz2”h0Œ@cb602c08cff192957249130d2980390d9a7be45f143fa6cfc1971d5f9933c83f”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬Ÿ1!hshEMêhFˆubh)”}”(hŒr-tfruns”h#Œ1.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-tfruns-1.5.1-r42hc72bb7e_1.tar.bz2”h+Œ fe9737aee449f353acd1bdb32a71c24a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tfruns-1.5.1-r42hc72bb7e_1.tar.bz2”h0Œ@6be7b98c64246dff2a03c6285713bd65ddaf6a65e97a6309634be79651865580”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-config”Œr-jsonlite >=1.2”Œ
r-magrittr”Œr-reticulate”Œr-rlang”Œr-rstudioapi >=0.7”Œr-tidyselect”Œ	r-whisker”Œr-yaml”t”h9hºh@Œ
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r-reshape2”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ºú¤(öhEMú´hFˆubh)”}”(hŒibacm-cos6-x86_64”h#Œ1.0.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,ibacm-cos6-x86_64-1.0.9-h9d98e8f_104.tar.bz2”h+Œ 9c94b91dc9f502eac8590beae9e5820e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos6-x86_64-1.0.9-h9d98e8f_104.tar.bz2”h0Œ@ddc243aa0dbb92d407dba907c778401fcd0e6af65c48bc730384da300aa7c965”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Éy¾lÝ/hEJõ  hFˆubh)”}”(hŒ
jsonschema”h#Œ4.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%jsonschema-4.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 83e4b4bca0191454e596daf25b02a348”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jsonschema-4.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4f100019518eabcbe7faa4682f1570854bf8d1c9b3b0cb6889d871deeb46de6c”h2NhNh3(Œattrs >=17.4.0”Œimportlib-metadata”Œimportlib_resources”Œ.pyrsistent !=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØn“È©G®hEM—àhFˆubh)”}”(hŒpsycopg2-binary”h#Œ2.9.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ*psycopg2-binary-2.9.3-pyhd8ed1ab_1.tar.bz2”h+Œ 1f39ab42266744c741eb75c07b0dc043”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/psycopg2-binary-2.9.3-pyhd8ed1ab_1.tar.bz2”h0Œ@d90bfc035f902e6c6a30f01f7572720fb3f8be5fb4bfea90f328633a6ab83286”h2NhNh3Œpsycopg2 >=2.9.3,<2.9.4.0a0”Œpython >=3.6”†”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ×2¿gKÇhEM¿hFˆubh)”}”(hŒr-imgur”h#Œ1.0.3”h%Œr36hc72bb7e_1”h'Khhh(h)hŒ#r-imgur-1.0.3-r36hc72bb7e_1.tar.bz2”h+Œ 783738a89fe30871e090c935bbe35146”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-imgur-1.0.3-r36hc72bb7e_1.tar.bz2”h0Œ@fe76723f0caa9ed4f3fe233f2161f051f1c67b32737116c2ad824973fc79297c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-httr”Œr-jpeg”Œr-png”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ#X¦ffhEJ/Ý hFˆubh)”}”(hŒfindimports”h#Œ2.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&findimports-2.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ e3fef40f33846f2af87741233691cc60”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/findimports-2.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5a4d80fe256af8227c64822b4dbafa11f78bed220fabb102fdd72d4c3e60a372”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ×7ïò=qhEM/}hFˆubh)”}”(hŒr-eigenmodel”h#Œ1.11”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-eigenmodel-1.11-r40hc72bb7e_0.tar.bz2”h+Œ 7f5c9ad1e60ac4ba1c563d1ed048047d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-eigenmodel-1.11-r40hc72bb7e_0.tar.bz2”h0Œ@2ff7ac06ee2e0b70aa237d57deda53d2c1ebe42e613bfea87f581d9b7d0bcd98”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ:¿·\)hEJ~J hFˆubh)”}”(hŒr-tfse”h#Œ0.5.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-tfse-0.5.0-r41hc72bb7e_2.tar.bz2”h+Œ ebf047f9f9cdeac6d867319221df3afb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tfse-0.5.0-r41hc72bb7e_2.tar.bz2”h0Œ@0d95be07413f87bf0dc83a19385753ddf457fd341e3ff8865351a521a3ba3240”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dapr”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑEårn˜hEJwl hFˆubh)”}”(hŒpycrc”h#Œ1.21”h%Œpy_0”h'K hhh(h)hŒpycrc-1.21-py_0.tar.bz2”h+Œ 7c7285f458ef9114fd2b244f59319abd”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/pycrc-1.21-py_0.tar.bz2”h0Œ@6a7bd641db6f48f01e2d821d4ab6f7a54c7304c7f465914ea1be985412383cf9”h2NhNh3Œpython”…”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×BçEž¸RhEM4UhFˆubh)”}”(hŒ	r-shinylp”h#Œ1.1.2”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-shinylp-1.1.2-r36h6115d3f_1002.tar.bz2”h+Œ e19d901431e5c9fc6e3161abf9be1a0c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinylp-1.1.2-r36h6115d3f_1002.tar.bz2”h0Œ@a48fc39b1ca0dcf4d348267540972b697727ddb634512b3879b8a5df0670e416”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGA×¬;B¹XhEMÚ¤hFˆubh)”}”(hŒpylint-plugin-utils”h#Œ0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,pylint-plugin-utils-0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 1657976383aee04dbb3ae3bdf654bb58”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/pylint-plugin-utils-0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@a054dab8aeadb5f2e90f69d32af2b40131d77bbd376259306055c4b758374cab”h2NhNh3Œpylint >=1.7”Œpython >=3.5”†”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØs&ÔÝ/hEMÎ<hFˆubh)”}”(hŒr-plackettluce”h#Œ0.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-plackettluce-0.4.2-r41hc72bb7e_1.tar.bz2”h+Œ 42b6e89b9ed503465a1e9733e6af78e7”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-plackettluce-0.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@623a266b13b4c3649589d39ea75bbeea7e0b7e13a6da706abb4002926cdd438f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cvxr”Œr-igraph”Œr-matrix”Œr-matrixstats”Œ
r-partykit”Œr-psychotools”Œr-psychotree”Œr-qvcalc”Œr-r6”Œ
r-rspectra”Œ
r-sandwich”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ6«SçmhEJ‡ hFˆubh)”}”(hŒr-pack”h#Œ0.1_1”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ%r-pack-0.1_1-r40hc72bb7e_1003.tar.bz2”h+Œ b7eef154b70c688376020696552242b3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pack-0.1_1-r40hc72bb7e_1003.tar.bz2”h0Œ@fc60bc2cde6d869618a7d33e36f2e84cdc95f0f26845a092e6c3bf68a94a3181”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØt„E¢hEMZ®hFˆubh)”}”(hŒpytrackmate”h#Œ1.2.0”h%Œpy_0”h'K hhh(h)hŒpytrackmate-1.2.0-py_0.tar.bz2”h+Œ 5e1abdeb88c5b6c605bf89cec889056f”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pytrackmate-1.2.0-py_0.tar.bz2”h0Œ@ab105a213196ac81f238db5044c02c1f6aa01c3fad32c17e1349d758d33d2d85”h2NhNh3Œnumpy”Œpandas”Œ
python >=3”‡”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖþ3ÂJhEM¥hFˆubh)”}”(hŒr-shinymeta”h#Œ0.2.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-shinymeta-0.2.0.3-r42hc72bb7e_1.tar.bz2”h+Œ e17a6f56dc9fcc9c579d80f06846daa5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinymeta-0.2.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@e95228fbe2c82519366e971af3b790b62c4a971c8dd37766d9509aa4a33c557f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-callr”Œ	r-fastmap”Œr-fs”Œr-htmltools”Œr-rlang”Œr-shiny >=1.6.0”Œr-sourcetools”Œr-styler”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑF˜°£×hEJ5O hFˆubh)”}”(hŒpyqtree”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pyqtree-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ e765e9d103ab57425be2fd37fc5d7e89”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pyqtree-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@75da110d644cd4d272511dd4595181e362548632f9d23426098b8e44d7c43f5d”h2NhNh3Œpython >=2.7”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ëQ¦SøhEM¡%hFˆubh)”}”(hŒ	r-reportr”h#Œ1.3.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ%r-reportr-1.3.0-r41hc72bb7e_3.tar.bz2”h+Œ 4596ce9e0db8d1f7e5fc01f55d94e480”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reportr-1.3.0-r41hc72bb7e_3.tar.bz2”h0Œ@5e067522222639194667344a6ba2fd75b60bba3aa8ca0f93594b06f1578e0a1f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ore”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑM%`BhEMD¾hFˆubh)”}”(hŒgrapheme”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#grapheme-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 65fe83139218a6b39c2e05d6f5b383f5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/grapheme-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@65ea01dd38cf54f135ce1626779c9868a5ba51c1cb1fdc7b70565735d3a7e9ec”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÈ»¨bhEJ@2 hFˆubh)”}”(hŒpyunfold”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒpyunfold-0.5.0-py_0.tar.bz2”h+Œ 288f16f8618f155ce7f86aca63994a58”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pyunfold-0.5.0-py_0.tar.bz2”h0Œ@5975e2ae45fb690b3d1afb73942f1d71cdcfaaffa4dab24bde49913b640613f5”h2NhNh3(Œnumpy”Œpandas”Œpython >=2.7,<3.7”Œscipy”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖü“äjhEMxXhFˆubh)”}”(hŒconfigparser”h#Œ5.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'configparser-5.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ c99fd5916160900dc5ff64204da99c4d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/configparser-5.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ce6ce9ee08437b46c284d52b076fb091cf6f2a9e12860d4a37546adbd5f53b28”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÀ²lÌÍhEMÚWhFˆubh)”}”(hŒcolcon-metadata”h#Œ0.2.5”h%Œpy_0”h'K hhh(h)hŒ"colcon-metadata-0.2.5-py_0.tar.bz2”h+Œ 60466c2c5d2a6bc78c3badaaf304bcb7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/colcon-metadata-0.2.5-py_0.tar.bz2”h0Œ@b5132ecbd56edae56c328a4306e368dca1f92def2184c82e5133636d7c009237”h2NhNh3Œcolcon-core”Œpython >=3.5”Œpyyaml”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×Ì;ÂhEMEhFˆubh)”}”(hŒ	r-skellam”h#Œ0.2.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-skellam-0.2.0-r41hc72bb7e_1003.tar.bz2”h+Œ a6d720594853e7861e076af041a8add2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-skellam-0.2.0-r41hc72bb7e_1003.tar.bz2”h0Œ@4440e1f87fef43fd3edb9c7ba20c10a50239a3161d7ee985c0f104be3ad06947”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+A²-hEJ¶› hFˆubh)”}”(hŒlibxcb-cos7-ppc64le”h#Œ1.13”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libxcb-cos7-ppc64le-1.13-h9d98e8f_104.tar.bz2”h+Œ c361e0e316a4e230f45d82430eccfaa4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-ppc64le-1.13-h9d98e8f_104.tar.bz2”h0Œ@959410aea8f501a912bf0eec71df2bbbae484a6d72f91ec1232b12493eb09c5b”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éxó†{hEJNé hFˆubh)”}”(hŒlakepy”h#Œ2.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!lakepy-2.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 70b6fcc285830f712ede5713d31145cd”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/lakepy-2.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0cfda5b8ce593addab3f858211567d46c87af74908e5693e18248b75e587fe57”h2NhNh3(Œ
contextily”Œ	geopandas”Œipython”Œleafmap”Œmatplotlib-base”Œmore-itertools 8.4”Œnumpy”Œpandas”Œplotly”Œpymysql”Œpython >=3.6”Œseaborn”Œshapely”Œtabulate”t”h9h?h@ŒMIT”hBŒMIT”hDGAØYwU³t¼hEMó5hFˆubh)”}”(hŒr-datapasta”h#Œ3.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-datapasta-3.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 23110153d6ef93137c31aa6155a4819a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-datapasta-3.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@1abd5e56cf81aa12489118f621fc0784e6cdfe7a3bb217852d6dd95d4972abb0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clipr >=0.3.0”Œr-readr >=1.2.0”Œr-rstudioapi >=0.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+pP;•hEJHÌ
 hFˆubh)”}”(hŒ	r-default”h#Œ1.0.0”h%Œr35_1001”h'Méhhh(h)hŒ r-default-1.0.0-r35_1001.tar.bz2”h+Œ 0c5de5c04b1cb8489d06ee4b398d7ee1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-default-1.0.0-r35_1001.tar.bz2”h0Œ@70a452dc3a2b75d64aba1022e5ef0e0bf22647fbe5d85f130a1bb8b688ef3f02”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×M7{SøhEM9PhFˆubh)”}”(hŒlibibverbs-cos6-x86_64”h#Œ1.1.8”h%Œh1795305_101”h'Kehhh(h)hŒ1libibverbs-cos6-x86_64-1.1.8-h1795305_101.tar.bz2”h+Œ 42b7073eafbd038817ec072785f8ba0d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos6-x86_64-1.1.8-h1795305_101.tar.bz2”h0Œ@1a7f3dec1505ab6694e09a0f97db8e16f411c00c0caecb8ca4195bb89fbfb6ad”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÄÇtÇl‹hEMÈÏhFˆubh)”}”(hŒlibx11-cos7-aarch64”h#Œ1.6.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libx11-cos7-aarch64-1.6.7-ha826a6f_1103.tar.bz2”h+Œ b1da562812181ecba39709b6615f2618”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libx11-cos7-aarch64-1.6.7-ha826a6f_1103.tar.bz2”h0Œ@af6754f997993f4df1207d2c9c4d01fb1c0c1edc1a589c2df9708ff73d485f50”h2NhNh3Œ)libx11-common-cos7-aarch64 >=1.6.7 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0Í¸QìhEJ¡ž hFˆubh)”}”(hŒ	mouseinfo”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$mouseinfo-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 4d1a010de9b9e8e20879476c56492a0d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/mouseinfo-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@35d324ca1058bab3186ca9d2fb0d15bd857db674a9ba8dfb2317bc927a314c4c”h2NhNh3(Œpillow >=4.0.0”Œ	pyperclip”Œpython >=3.6”Œpython-xlib”Œrubicon-objc”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÅùg®hEMèphFˆubh)”}”(hŒlibxml2-cos7-ppc64le”h#Œ2.9.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libxml2-cos7-ppc64le-2.9.1-ha826a6f_1103.tar.bz2”h+Œ 407dca17c3ecc630dcf59baea738ff3e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-ppc64le-2.9.1-ha826a6f_1103.tar.bz2”h0Œ@3816b5e2efc3ed3475ed829330bfc9f6abc61d4c0bfe0b06fceb653b0fab76dc”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ýWïžhEJ¸@ hFˆubh)”}”(hŒ	demoshell”h#Œ0.2.0”h%Œpy_1001”h'Méhhh(h)hŒdemoshell-0.2.0-py_1001.tar.bz2”h+Œ 9e8b607cfcb3865348e08bf8c369dd82”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/demoshell-0.2.0-py_1001.tar.bz2”h0Œ@97d17518f6864688cd279a7aaaf81d4d3363d880a631a128486c61ba2c2c23f0”h2NhNh3Œappdirs >=1.4.3”Œ
python >=3”Œurwid >=2.0.1”‡”h9h?h@Œ
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r-filelock”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ?ð—l‹hEJ,. hFˆubh)”}”(hŒflasgger”h#Œ0.9.5”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#flasgger-0.9.5-pyh9f0ad1d_0.tar.bz2”h+Œ 1dfce8bd7ab2a24ee872a94c12bcc591”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/flasgger-0.9.5-pyh9f0ad1d_0.tar.bz2”h0Œ@7df4ccf66e3dc86d7f598a32eb7e94be2393efea9a9714424e93e031e8035026”h2NhNh3(Œflask >=0.10”Œjsonschema >=2.5.1,<3.0.0a0”Œmistune”Œpython”Œpyyaml >=3.0”Œsix >=1.10.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×É4?Ï®hEJ©i2 hFˆubh)”}”(hŒr-skewhyperbolic”h#Œ0.4_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-skewhyperbolic-0.4_0-r41hc72bb7e_0.tar.bz2”h+Œ 0268c6d46db5b7635a7a005b557c04ba”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-skewhyperbolic-0.4_0-r41hc72bb7e_0.tar.bz2”h0Œ@cc51c09c732f400b40d2ef728a219151e3ab691c5aded070efc243fd77669cc0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-distributionutils”Œr-generalizedhyperbolic”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØzK%O+hEJ¬ý hFˆubh)”}”(hŒbeautysh”h#Œ6.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#beautysh-6.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 403cad1176b461f163fca309e8123c27”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/beautysh-6.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cbe1067a9ea7e5862a843031086713bf4c1f5467cf7f553ab37608fd4ab2ee8e”h2NhNh3(Œcolorama >=0.4.4,<0.5”Œpython >=3.6.2”Œ
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nffhEMVÊhFˆubh)”}”(hŒr-assertive.data”h#Œ0.0_3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ,r-assertive.data-0.0_3-r36h6115d3f_1.tar.bz2”h+Œ 85e352b0b4804a2d684a4121e7b2aec7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.data-0.0_3-r36h6115d3f_1.tar.bz2”h0Œ@aa979db0312d6c240aa9916a6bb31bdffa99df70d9f1aca9809e2f619ba1f488”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=3.6,<3.7.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LWb*¬hEJ¢ hFˆubh)”}”(hŒhankel”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!hankel-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4629f180e3550eeefdcf88b59a4167b1”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/hankel-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@bdf4b68e87bfb72ef9762d3c97d0b41c2fe596c775c92c0bae1917f3f99135c4”h2NhNh3(Œmpmath >=1.0.0”Œnumpy >=1.9.3”Œpython >=3.5”Œscipy >=0.16.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØœ‰8øƒhEMm<hFˆubh)”}”(hŒadlfs”h#Œ2021.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#adlfs-2021.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6849e52ad5f9028fb04c3dac3d1a0efa”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/adlfs-2021.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f9534f4182bdc8774b81995debeee70d1eca1fda1f45b598c80d1bbce9222783”h2NhNh3(Œaiohttp”Œazure-core >=1.7.0”Œ"azure-datalake-store >=0.0.46,<0.1”Œazure-identity”Œazure-storage-blob >=12.5.0”Œfsspec >=2021.6.1”Œpython >3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØNø/ïžhEMëWhFˆubh)”}”(hŒlibxdamage-devel-cos7-aarch64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9libxdamage-devel-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 0c611ab875b614c0640b8c9bc49612fa”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@1fbf245acc7f9ad12b538ab4ecbdbc3d033ce3c7ec15616522f37972c8f06279”h2NhNh3Œ&libxdamage-cos7-aarch64 ==1.1.4 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É{´®‡+hEM&hFˆubh)”}”(hŒpandas_schema”h#Œ0.3.5”h%Œpy_0”h'K hhh(h)hŒ pandas_schema-0.3.5-py_0.tar.bz2”h+Œ 48b30255a5c22d015bada540bbef7916”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pandas_schema-0.3.5-py_0.tar.bz2”h0Œ@af7253eaa3921ca3218e6632c2d40d9cdbae42f41f8b9a94d8d2a1af83460c06”h2NhNh3Œnumpy”Œpandas”Œ	python >3”‡”h9h?h@ŒGPL3”hBŒGPL3”hDGA×—?;dhEMé`hFˆubh)”}”(hŒ	r-aleplot”h#Œ1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-aleplot-1.1-r41hc72bb7e_2.tar.bz2”h+Œ 0430aab4cd91ffeb9b6f970e4c35ccbb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-aleplot-1.1-r41hc72bb7e_2.tar.bz2”•	      h0Œ@30d661bf30b56c59d079ab56fe800add8cc46832a7b47126d090a042d76266c7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-yaimpute”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+1'i7LhEJ‘L
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setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÓ+ÎVhEM¯hFˆubh)”}”(hŒ	r-statnet”h#Œ2019.6”h%Œr40h6115d3f_2”h'Khhh(h)hŒ&r-statnet-2019.6-r40h6115d3f_2.tar.bz2”h+Œ e09a76c4889c05f9e4410d4c965ae4a0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-statnet-2019.6-r40h6115d3f_2.tar.bz2”h0Œ@330c3ad0fb08bf4eecb39af51e89903777db9a0e579cd29c909a3ea8ef9830ef”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ergm >=3.10.4”Œr-ergm.count >=3.3”Œr-network >=1.15”Œr-networkdynamic >=0.10”Œr-sna >=2.4”Œr-statnet.common >=4.2”Œr-tergm >=3.6.1”Œr-tsna >=0.3”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬7öq‡hEMOªhFˆubh)”}”(hŒr-finch”h#Œ0.4.0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ#r-finch-0.4.0-r40h6115d3f_0.tar.bz2”h+Œ f23929124f57e02b498de99fda9cd7a6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-finch-0.4.0-r40h6115d3f_0.tar.bz2”h0Œ@ea13ad23596cd63f1e63e931c8a4357bc8446c561d6f21b7c8f6cc05ba641273”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table >=1.10.0”Œr-digest”Œr-eml >=2.0.0”Œr-hoardr >=0.2.0”Œr-plyr”Œ
r-rappdirs”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ì‘¼­ÒòhEJ| hFˆubh)”}”(hŒjupyterlab-unfold”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jupyterlab-unfold-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ b6cf4e2429ba6d674d2d4f32a021d912”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-unfold-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@01fe14d2c85ed989ac68a28e6d9d5b176d6af15a1101c59768d030ee3f3fa107”h2NhNh3Œjupyterlab >=3.0.0,<4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ•ç¾whEMpWhFˆubh)”}”(hŒdjango-cognito-jwt”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-django-cognito-jwt-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 1a18bef22e6bffa4595ef77bbe68b2c2”h.Œ[https://conda.anaconda.org/conda-forge/noarch/django-cognito-jwt-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@614d21194d99f31b87f459643fc48941460210eebb742f31b96a26da0e84352d”h2NhNh3(Œcryptography”Œdjango >=1.11”Œdjangorestframework”Œpyjwt”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØlöì¼í‘hEMÕ"hFˆubh)”}”(hŒlibidl-cos7-ppc64le”h#Œ0.8.14”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/libidl-cos7-ppc64le-0.8.14-hdf0574f_102.tar.bz2”h+Œ 8268fc9b23bc533bc07bff8458493ed2”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libidl-cos7-ppc64le-0.8.14-hdf0574f_102.tar.bz2”h0Œ@aec3a1fb6d5f31a10279040b6aa4e85fd7c89a24c3cc688dcef726f581a09c9d”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅhÿÚÐåhEJUw hFˆubh)”}”(hŒr-ooplah”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-ooplah-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 0a302a920aef336861d74e5fd8823ab3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ooplah-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@65af9daca8a4ebf35e320382ad74db1c2e1001821e16d23aabbf5eb543c5cadd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-r6”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ·²JÐåhEJ hFˆubh)”}”(hŒpciutils-devel-cos7-ppc64le”h#Œ3.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7pciutils-devel-cos7-ppc64le-3.5.1-h9b0a68f_1105.tar.bz2”h+Œ 69780fe192dfb026c1ecb48337cef97c”h.Œehttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-ppc64le-3.5.1-h9b0a68f_1105.tar.bz2”h0Œ@e2d77811bd623fa6b09c05dfe5bed7098de25d2a6d9b82be6a1f1568de581e6c”h2NhNh3Œ$pciutils-cos7-ppc64le ==3.5.1 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@sÖ5?hEM.zhFˆubh)”}”(hŒ	happybase”h#Œ1.2.0”h%Œpy_0”h'K hhh(h)hŒhappybase-1.2.0-py_0.tar.bz2”h+Œ 8377e3efc40e8d985040a197470b4755”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/happybase-1.2.0-py_0.tar.bz2”h0Œ@9799fe410e952734d2323444dc2d9310ece685397fc36a8cedefa66e8b51e910”h2NhNh3(Œpython”Œ
setuptools”Œsix”Œ	thriftpy2”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Fƒs…hEM…ghFˆubh)”}”(hŒr-vpc”h#Œ1.2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-vpc-1.2.2-r41hc72bb7e_1.tar.bz2”h+Œ a3e4a6f738dd0e4826e0e6a4b05353d4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vpc-1.2.2-r41hc72bb7e_1.tar.bz2”h0Œ@763b460abcf81506723f672ed49291744aa1704241a23a1d0051e521d00ef02f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-classint”Œr-dplyr”Œ	r-ggplot2”Œr-mass”Œr-readr”Œ	r-stringr”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑÌ¶$ÝhEJ hFˆubh)”}”(hŒr-osfr”h#Œ0.2.9”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-osfr-0.2.9-r40hc72bb7e_0.tar.bz2”h+Œ 86050364227d8823673da58037a02db8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-osfr-0.2.9-r40hc72bb7e_0.tar.bz2”h0Œ@339b05ac1a798e482d54d0ba97aafa4197046255f24a92a3e080ddc6a9b1084c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.7.4”Œr-fs >=1.3.0”Œr-httr”Œ
r-jsonlite”Œ	r-memoise”Œr-purrr”Œr-rlang”Œ	r-stringi”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÌ?¤‹hEJ–& hFˆubh)”}”(hŒr-rfutilities”h#Œ2.1_5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-rfutilities-2.1_5-r42hc72bb7e_2.tar.bz2”h+Œ f172039cd5b033bb75febf4747533e79”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rfutilities-2.1_5-r42hc72bb7e_2.tar.bz2”h0Œ@765fd02fb12b69eb448fb4b48218adfab62c33c33a607c0bb191520b9c029dab”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œr-randomforest >=4.6_12”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒoÀÔþhEJ&Ë hFˆubh)”}”(hŒr-ggm”h#Œ2.3”h%Œr35_1001”h'Méhhh(h)hŒr-ggm-2.3-r35_1001.tar.bz2”h+Œ c5a422b7e7afe6458637e110ce90d7c7”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/r-ggm-2.3-r35_1001.tar.bz2”h0Œ@9c714b99fe3f9b9894a0274a97f0fb5a41ed1a7c7c0deed55cc3b040dee8a7b7”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-igraph”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M]ûçhEJ
 hFˆubh)”}”(hŒr-gender”h#Œ0.6.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-gender-0.6.0-r40hc72bb7e_0.tar.bz2”h+Œ 42d3f47b2e0618ab4be65274cf1de3f1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gender-0.6.0-r40hc72bb7e_0.tar.bz2”h0Œ@aacdc1fbf0efb99f557a180e713e1d5ba0c7985cd63fcac169747c0fe11c95eb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.8.5”Œr-httr >=1.4.1”Œr-jsonlite >=1.6.1”Œr-remotes >=2.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØY¹VÎÙhEJ( hFˆubh)”}”(hŒ
miceforest”h#Œ5.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%miceforest-5.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ 5d062f12cfbf4e5af02bf2e22d1cd9d6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/miceforest-5.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@07cd30d24b9a123d892483e741f30fe390d76c37be89ca0bf4ae228429cedbf4”h2NhNh3(Œdill”Œlightgbm >=3.3.1”Œmatplotlib-base >=3.3.0”Œnumpy”Œpandas”Œpython >=3.7”Œpython-blosc”Œscipy >=1.6.0”Œseaborn >=0.11.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¾	n…²-hEMGµhFˆubh)”}”(hŒblackcellmagic”h#Œ0.0.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)blackcellmagic-0.0.2-pyh9f0ad1d_0.tar.bz2”h+Œ 8636d3e324e4ee3a0df5529326f98169”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/blackcellmagic-0.0.2-pyh9f0ad1d_0.tar.bz2”h0Œ@362e3817cc629544ec6e8aca0df6a4883c6c1e53bd19f437d3ce16edbc1161db”h2NhNh3Œblack”Œipython”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×Ë0üøQìhEMHhFˆubh)”}”(hŒlibglvnd-egl-cos7-aarch64”h#Œ1.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libglvnd-egl-cos7-aarch64-1.0.1-h9b0a68f_1105.tar.bz2”h+Œ 11c48195648666014ae19f75c7dcadf4”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libglvnd-egl-cos7-aarch64-1.0.1-h9b0a68f_1105.tar.bz2”h0Œ@66de974d6bb3d19959bc374957fa39a764811495c6da5a226729eef8ac767ea4”h2NhNh3Œ$libglvnd-cos7-aarch64 ==1.0.1 *_1105”Œ(mesa-libegl-cos7-aarch64 >=13.0.4 *_1105”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@“=‚ÀƒhEM=ÎhFˆubh)”}”(hŒsymopt”h#Œ0.2.0”h%Œpyhe991be0_0”h'K hhh(h)hŒ!symopt-0.2.0-pyhe991be0_0.tar.bz2”h+Œ aff656646060d04288c659268f277457”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/symopt-0.2.0-pyhe991be0_0.tar.bz2”h0Œ@e49114086081a8267ff6463cabd4662a305fce1f03ca0468e81436983ead8020”h2NhNh3(Œcyipopt”Œnumpy”Œ
orderedset”Œpython >=3.6”Œscipy”Œsympy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×5"X¹hshEMíDhFˆubh)”}”(hŒr-fastdummies”h#Œ1.6.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-fastdummies-1.6.3-r42hc72bb7e_1.tar.bz2”h+Œ 855d480a48742bb027fca6b517384504”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fastdummies-1.6.3-r42hc72bb7e_1.tar.bz2”h0Œ@b073eb089883b5fb3497a9dea7dca6b2f5a176fbb985f112537ca25fe4f54c4a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ·ú¢\hEMGÉhFˆubh)”}”(hŒ	r-hexview”h#Œ0.3_4”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-hexview-0.3_4-r36h6115d3f_0.tar.bz2”h+Œ 36ec6890c9fc5c949a50028930fd6c0b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-hexview-0.3_4-r36h6115d3f_0.tar.bz2”h0Œ@abed7545890caf41caf752759acf7b0baf037c7d320173e3a7c7f4968bfc442a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×a&E A‰hEJó± hFˆubh)”}”(hŒpciutils-devel-cos7-aarch64”h#Œ3.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7pciutils-devel-cos7-aarch64-3.5.1-h9d98e8f_1104.tar.bz2”h+Œ 10b5bc234a746ee3865e4193c36cc7c6”h.Œehttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-aarch64-3.5.1-h9d98e8f_1104.tar.bz2”h0Œ@44556a8dfbeb0aecd244a1c4cb323f6e7d84e509c6d6d0899db746406d48d16b”h2NhNh3Œ$pciutils-cos7-aarch64 ==3.5.1 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×É~ëô1hEM†yhFˆubh)”}”(hŒlibxft-cos6-x86_64”h#Œ2.3.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libxft-cos6-x86_64-2.3.2-h9d98e8f_1104.tar.bz2”h+Œ 9da6fe58f07e3b44e2c42d68fd99cf86”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos6-x86_64-2.3.2-h9d98e8f_1104.tar.bz2”h0Œ@b9fe923f8397252f54be7abe252701439d21b7090c660c24cba6f8dc5b3add35”h2NhNh3Œ#fontconfig-cos6-x86_64 >=2.2 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~[CSøhEM½ÚhFˆubh)”}”(hŒr-vam”h#Œ1.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-vam-1.0.0-r42hc72bb7e_1.tar.bz2”h+Œ 8349c78a59babe44519713f590fcdf9c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vam-1.0.0-r42hc72bb7e_1.tar.bz2”h0Œ@02ba8d144d830e472e2495d9d4250e9be077055b4a53b08e9d5d791e6a7715ea”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑÌkmó¶hEJøÚ hFˆubh)”}”(hŒfontconfig-devel-cos7-x86_64”h#Œ2.13.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ9fontconfig-devel-cos7-x86_64-2.13.0-hdf0574f_1102.tar.bz2”h+Œ 545cea10ee207eadf017603596ffd4e2”h.Œghttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos7-x86_64-2.13.0-hdf0574f_1102.tar.bz2”h0Œ@fe99d126dcdefdf99e0edcf65979b44d9a38b18c64a95c9d0ad6b1829ba5a72b”h2NhNh3Œ'freetype-devel-cos7-x86_64 >=2.8 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×ÅiîÐ“uhEJmŒ hFˆubh)”}”(hŒr-ritis”h#Œ1.0.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ#r-ritis-1.0.0-r36hc72bb7e_0.tar.bz2”h+Œ cc59114b8c7783981739f8e5851b019b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ritis-1.0.0-r36hc72bb7e_0.tar.bz2”h0Œ@62cae0eb4790be82cc9e83f3acdd242b1d2f16c64efee5b8c93d439ebfb9f064”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crul >=0.4.0”Œr-data.table >=1.9.6”Œr-jsonlite >=1.5”Œr-solrium >=1.0.2”Œr-tibble >=1.3.4”t”h9hºh@ŒMIT”hBŒMIT”hDGAØF0ct¼hEJÀ| hFˆubh)”}”(hŒkubessh”h#Œ0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ kubessh-0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1c3f4fc79bacafa57c51cc653cb37adf”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/kubessh-0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@18216269c1ec45add96d45fcc373c40cc56182d07ec3b7f7fe2258a11a2439ec”h2NhNh3(Œaiohttp”Œasyncssh”Œescapism”Œ
ptyprocess”Œ
python >=3”Œpython-kubernetes”Œruamel.yaml”Œsimpervisor”Œ	traitlets”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×é`Lä›¦hEM§MhFˆubh)”}”(hŒrfc3987”h#Œ1.3.7”h%Œpy_0”h'K hhh(h)hŒrfc3987-1.3.7-py_0.tar.bz2”h+Œ 11fc53d32d569f1bd53855cb5111875a”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/rfc3987-1.3.7-py_0.tar.bz2”h0Œ@de7844351f7e108d55e232272fbcf694ad0b077692ad19cc3f23322f5ec45017”h2NhNh3Œpython”…”h9h?h@ŒGNU GPL3”hBŒGPL3”hEM©YhFˆubh)”}”(hŒr-ritis”h#Œ1.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-ritis-1.0.0-r42hc72bb7e_1.tar.bz2”h+Œ 3803c2ca6d811dca6019d4659d39fb24”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ritis-1.0.0-r42hc72bb7e_1.tar.bz2”h0Œ@976fa15e7c2f284c6304289566eb7c2c0c00559d1fd49429fc66db78e3729de5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.4.0”Œr-data.table >=1.9.6”Œr-jsonlite >=1.5”Œr-solrium >=1.0.2”Œr-tibble >=1.3.4”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐðó1hEJa‚ hFˆubh)”}”(hŒr-assertive.data.uk”h#Œ0.0_2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ/r-assertive.data.uk-0.0_2-r41hc72bb7e_2.tar.bz2”h+Œ ca3339533bca51e3413f5babb39fe8ad”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.uk-0.0_2-r41hc72bb7e_2.tar.bz2”h0Œ@2861791c734850b8cb251c074cb57625256b4f17929e4950c3501aa4df8ae9e7”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.1,<4.2.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+Â^5hEMxÕhFˆubh)”}”(hŒr-ismev”h#Œ1.42”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ%r-ismev-1.42-r36h6115d3f_1002.tar.bz2”h+Œ 8ec691b792f86faa450f60d6d1457e06”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ismev-1.42-r36h6115d3f_1002.tar.bz2”h0Œ@915531a6e7f130a76a96dfdce86dc137b8836094a8fd1d8be4b393637c91747c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mgcv”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬·D©&éhEJŒW hFˆubh)”}”(hŒ	r-diagram”h#Œ1.6.5”h%Œr36hb0f4dca_0”h'K hhh(h)hŒ%r-diagram-1.6.5-r36hb0f4dca_0.tar.bz2”h+Œ d555712550b8979d863c7d280f1f9a6d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-diagram-1.6.5-r36hb0f4dca_0.tar.bz2”h0Œ@15bf1e4e1e3a46b18d13efcdab3dfa0dfe6d54f3bb3ea9acb23bf20872b3ecb6”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-shape”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×ÝÕó¶hEJK™
 hFˆubh)”}”(hŒ
r-invgamma”h#Œ1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-invgamma-1.1-r42hc72bb7e_2.tar.bz2”h+Œ 8404420fa0d39bab036e74969cc5376c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-invgamma-1.1-r42hc72bb7e_2.tar.bz2”h0Œ@9917b1fdbd315cf79c51e220de2e68a27168694e96aa1b90e19640bbffc7410e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ,•ª~úhEMRˆhFˆubh)”}”(hŒr-rmeta”h#Œ3.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ$r-rmeta-3.0-r36h6115d3f_1002.tar.bz2”h+Œ 5464d22b672359396ccf2135f5c5a960”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmeta-3.0-r36h6115d3f_1002.tar.bz2”h0Œ@9ecdb0c4064f1bf54a95ef2cee556c7ef420ef6a49fc2b2915f571791167d76e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L±nÒÀƒhEJlç hFˆubh)”}”(hŒanybadge”h#Œ1.14.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$anybadge-1.14.0-pyhd8ed1ab_0.tar.bz2”h+Œ 83a13edaecd343d77650f8bcd78cc4e1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/anybadge-1.14.0-pyhd8ed1ab_0.tar.bz2”h0Œ@52ddc620e19fbafcf7d3d07528544567863bdd1a3806658eb0eb00519e31d4f9”h2NhNh3Œ	packaging”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÂO½OßhEM°ghFˆubh)”}”(hŒmesa-libgbm-cos7-ppc64le”h#Œ18.3.4”h%Œh1795305_1101”h'MMhhh(h)hŒ5mesa-libgbm-cos7-ppc64le-18.3.4-h1795305_1101.tar.bz2”h+Œ 9f8481324fa04bf8a7bc2b72dc70b519”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-ppc64le-18.3.4-h1795305_1101.tar.bz2”h0Œ@e4dfdede036bda814f3d06f14614b48b22d3cd821a819346452252ba9ded6bd1”h2NhNh3Œlibdrm-cos7-ppc64le >=2.4.83”Œ!mesa-libglapi-cos7-ppc64le 18.3.4”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å€5‘hhEM$hFˆubh)”}”(hŒr-stopwords”h#Œ2.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-stopwords-2.3-r40hc72bb7e_0.tar.bz2”h+Œ 044b942d1f1558efe9d3632acce0b4fe”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stopwords-2.3-r40hc72bb7e_0.tar.bz2”h0Œ@63994f7bd9d990ae1c49069a5287f6d8f5bbef0a78586c068d5a4a6a67773193”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-desc”Œ
r-isocodes”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ^ªÎÙhEJ®™ hFˆubh)”}”(hŒ	paho-mqtt”h#Œ1.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$paho-mqtt-1.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1cc8b24942cf8d551da8e38400716194”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/paho-mqtt-1.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@fc04382d651c331ad78fd0c043695ddfd6544abe90bcbdd14f0d6deb87503e3b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒEPL-2.0 AND BSD-3-Clause”hBŒOTHER”hDGAØŸNs÷\)hEMŒÁhFˆubh)”}”(hŒjupyterlab-markup”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jupyterlab-markup-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6ed161b09f1cb3f0e6481acb424292cf”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-markup-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8c913b313362064f37d46f01c9f4ad1e3154ce5ee5879b709dd723d524de910a”h2NhNh3Œjupyterlab >=3.0,<4.0.0a0”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØš¼n²~úhEJ'" hFˆubh)”}”(hŒsktime”h#Œ0.10.0”h%Œpyh7a3722e_0”h'K hhh(h)hŒ"sktime-0.10.0-pyh7a3722e_0.tar.bz2”h+Œ c0971765069da471679d2a6f7cd9092b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sktime-0.10.0-pyh7a3722e_0.tar.bz2”h0Œ@d037d4693cbd18e2b832c4d72521d63c200866fada86a8a1c7929adc58d5cd8c”h2NhNh3(Œdeprecated >=1.2.13”Œnumba >=0.50,<0.55”Œnumpy >=1.21.5,<2.0a0”Œpandas >=1.1.0,<1.5”Œpython”Œscikit-learn >=0.24.0”Œstatsmodels >=0.12.1”t”h6(Œpmdarima >=1.8.0,!=1.8.1”Œseaborn >=0.11.0”Œstumpy >=1.5.1”Œprophet >=1.0”Œhcrystalball >=0.1.9”Œscikit-posthocs >=0.6.5”Œtsfresh >=0.17.0”Œmatplotlib-base >=3.3.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…ô‹¬(öhEJ T hFˆubh)”}”(hŒspyder-remote-client”h#Œ0.0.25”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0spyder-remote-client-0.0.25-pyhd8ed1ab_0.tar.bz2”h+Œ 53364fcdefac4575b0ba6d42090f8ff8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/spyder-remote-client-0.0.25-pyhd8ed1ab_0.tar.bz2”h0Œ@61173bc323700033e2d9884e58c4641b3c854b1e6c6430d51d09c7da3f43d407”h2NhNh3(Œ	netifaces”Œpsutil”Œpython >=3.6”Œzeroconf”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ^:%¬IºhEMn@hFˆubh)”}”(hŒpybind11-abi”h#hÔh%Œ
hd8ed1ab_2”h'Khhh(h)hŒ!pybind11-abi-4-hd8ed1ab_2.tar.bz2”h+Œ 1f9472fbb74cc52403999ace9bf3c81b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pybind11-abi-4-hd8ed1ab_2.tar.bz2”h0Œ@6ef999047948283a38934f306eb8dd8d2a7b05fc27d7570faf162fb6f48c84c7”h2NhNh3)h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×ô”²hEM³&hFˆubh)”}”(hŒtexsoup”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒtexsoup-0.1.4-py_0.tar.bz2”h+Œ 2c775d53d16a4d95259eac9b3caa5264”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/texsoup-0.1.4-py_0.tar.bz2”h0Œ@8013528d078f99288b24f69b0182fa926df83211ab8eac68c70b50b2f5b50fbb”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA× SJ÷ÏhEM=hFˆubh)”}”(hŒcondorpy”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#condorpy-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 382d3d54a15d49cdf0a4d733ab97b990”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/condorpy-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@816e304b8e066d521384871b9beb9fc9f9d9e3da20237783ffde634f1b6ac313”h2NhNh3Œparamiko”Œpython >=3.6”Œscp”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ~:JhEMÆYhFˆubh)”}”(hŒr-plot3d”h#Œ1.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ"r-plot3d-1.4-r36hc72bb7e_0.tar.bz2”h+Œ 3664d7434dffa4158e717c623a30540a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-plot3d-1.4-r36hc72bb7e_0.tar.bz2”h0Œ@de727ae977bf27b70357b8020cb57f9ddd7c3b44c7aabea1ff7bf0596b8b7db6”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-misc3d”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*P¤^éyhEJNo+ hFˆubh)”}”(hŒ	r-lvm4net”h#Œ0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-lvm4net-0.3-r40hc72bb7e_0.tar.bz2”h+Œ f802c18ea02a1ab70bd28766029f81d1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lvm4net-0.3-r40hc72bb7e_0.tar.bz2”h0Œ@0c6a2ddccb2cdd640a0e6d393412322d1335dd3ab82dcba82312888fc6ace76e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-corpcor”Œ	r-ellipse”Œr-ergm”Œr-glmmml”Œr-igraph”Œr-mass”Œ	r-mvtnorm”Œ	r-network”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØlò‘QìhEJ\Ô hFˆubh)”}”(hŒlibxrandr-cos7-ppc64le”h#Œ1.5.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ2libxrandr-cos7-ppc64le-1.5.1-ha826a6f_1103.tar.bz2”h+Œ 44e8d317d6104e4f1e7ebbc7e1fde728”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-ppc64le-1.5.1-ha826a6f_1103.tar.bz2”h0Œ@e1e0a7b202187c7ddf78808f0885d6598add9217586e783f2fe22f0e800a5ade”h2NhNh3Œ"libx11-cos7-ppc64le >=1.6.0 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3òn˜hEM«chFˆubh)”}”(hŒgtkmm24-cos7-aarch64”h#Œ2.24.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1gtkmm24-cos7-aarch64-2.24.5-h9d98e8f_1104.tar.bz2”h+Œ affe8fe29fab562cec00e342b8ce4959”h.Œ_https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos7-aarch64-2.24.5-h9d98e8f_1104.tar.bz2”h0Œ@f5d367354c4188f038789fcc19210080f0997483b4bc719f2f7af808bdb38434”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Ézý»Æ¨hEJÈ- hFˆubh)”}”(hŒ	astroplan”h#Œ0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"astroplan-0.8-pyhd8ed1ab_0.tar.bz2”h+Œ b962dc5b30f0a21ea31e5a694476e29f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/astroplan-0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@3010964e7467f29039f53db420b7d2275e8471c96fee2503114c4a3b99381c1a”h2NhNh3(Œastropy >=4”Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œpytz”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÐðA‰hEJþ hFˆubh)”}”(hŒopenff-amber-ff-ports”h#Œ0.0.3”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ0openff-amber-ff-ports-0.0.3-pyh6c4a22f_0.tar.bz2”h+Œ b795ad5bcc6de4e9996dd77d1946c36f”h.Œ^https://conda.anaconda.org/conda-forge/noarch/openff-amber-ff-ports-0.0.3-pyh6c4a22f_0.tar.bz2”h0Œ@982732a1b7f3db96e0fc86e033c01331ac7521ca339218d4228fd13976829beb”h2NhNh3Œpython >=3.7”Œ
setuptools”†”h9h?h@Œ	CC-BY-4.0”hBŒCC”hDGAØ©ÐmZhEJ_ð hFˆubh)”}”(hŒ	csv2table”h#Œ0.5.0”h%Œpyh44b312d_0”h'K hhh(h)hŒ$csv2table-0.5.0-pyh44b312d_0.tar.bz2”h+Œ 6b5a313196e6fd33ac47b4a687a1f962”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/csv2table-0.5.0-pyh44b312d_0.tar.bz2”h0Œ@a3d89a305afcbabe4fa0b1c5afba8eedf1bd8d456b50dff2a8309d00384843d1”h2NhNh3Œpython”Œterminaltables”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ0ßÂ°!hEMÛVhFˆubh)”}”(hŒr-shinytree”h#Œ0.2.7”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ'r-shinytree-0.2.7-r41hc72bb7e_3.tar.bz2”h+Œ 4a02cdcaa7189ea9ca6527cbb5322736”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinytree-0.2.7-r41hc72bb7e_3.tar.bz2”h0Œ@69372bec8c23bc971f708553f29c0e2481007f6eeb8f754bd5bdc29951b76095”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-promises”Œr-shiny >=0.9.0”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ&záhEJmú hFˆubh)”}”(hŒr-ggedit”h#Œ0.3.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-ggedit-0.3.1-r36h6115d3f_0.tar.bz2”h+Œ 5daed56c87314632e8d598df5bcee4c4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggedit-0.3.1-r36h6115d3f_0.tar.bz2”h0Œ@5f33cea0fef27eefb520bd37e77145633865c1d40abf9819703555422cad0354”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-colourpicker >=0.2”Œr-dplyr >=0.7.5”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-miniui”Œr-plyr”Œr-purrr”Œr-rlang”Œr-rstudioapi”Œr-scales”Œr-shiny”Œ
r-shinyace”Œ	r-shinybs”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×µsK"ÑhEJÏÈ hFˆubh)”}”(hŒlibx11-common-cos7-ppc64le”h#Œ1.6.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6libx11-common-cos7-ppc64le-1.6.7-hdf0574f_1102.tar.bz2”h+Œ 093dd18fa4333ec37417890c956fcb5b”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-ppc64le-1.6.7-hdf0574f_1102.tar.bz2”h0Œ@884ecd0ac9ce8472eb7702274fe60502149de97511ad2d992673237b377565e7”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+VhEJ"% hFˆubh)”}”(hŒr-ggalt”h#Œ0.4.0”h%Œr35_1”h'Khhh(h)hŒr-ggalt-0.4.0-r35_1.tar.bz2”h+Œ 5e218b512da48c583e1569434ad864ee”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-ggalt-0.4.0-r35_1.tar.bz2”h0Œ@31351e375474b2a340a3e5fa17165c22cca322ef3ef711d305d0cc3531d6b71d”h2NhNh3(Œr-ash”Œr-base >=3.5,<3.6.0a0”Œr-dplyr”Œr-extrafont”Œr-ggplot2 >=2.2.1”Œr-gtable”Œr-kernsmooth”Œr-maps”Œr-mass”Œr-plotly >=3.4.1”Œr-proj4”Œr-rcolorbrewer”Œr-scales”Œr-tibble”t”h9hºh@ŒAGPL”hBŒAGPL”hDGA×M_¾‡+hEJ$ hFˆubh)”}”(hŒexpat-devel-cos7-aarch64”h#Œ2.1.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ3expat-devel-cos7-aarch64-2.1.0-hdf0574f_102.tar.bz2”h+Œ 4af10d8cde818224aa7a12290e5a3dae”h.Œahttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-aarch64-2.1.0-hdf0574f_102.tar.bz2”h0Œ@b8c09918d807aacdc4f26502e73258bd615ef4e29a461b06ec8b91eaa3127d88”h2NhNh3Œ expat-cos7-aarch64 ==2.1.0 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åá§ß;hEMÑ¾hFˆubh)”}”(hŒr-reader”h#Œ1.0.6”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-reader-1.0.6-r36h6115d3f_0.tar.bz2”h+Œ 4a3ec187614792663b9e168c0e8a1821”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reader-1.0.6-r36h6115d3f_0.tar.bz2”h0Œ@a266e7732a829b3a61f5ae1f91a5c99006c29cfecacf6eaacd5e0e63d87d5389”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-ncmisc >=1.1”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×S½_'
=hEJè hFˆubh)”}”(hŒsysroot-cos7-ppc64le”h#Œ2.17”h%Œ
hde85e46_6”h'Khhh(h)hŒ,sysroot-cos7-ppc64le-2.17-hde85e46_6.tar.bz2”h+Œ c7d4a3c61b85a2b842c9235c288de3a8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-ppc64le-2.17-hde85e46_6.tar.bz2”h0Œ@9db63638a51765df9069a223e0b091ca4aff7e873f93c3958cf7f2075152472a”h2NhNh3Œsysroot_linux-ppc64le 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶èY‡ß;hEM$hFˆubh)”}”(hŒlibxml2-cos7-ppc64le”h#Œ2.9.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0libxml2-cos7-ppc64le-2.9.1-hdf0574f_1102.tar.bz2”h+Œ 3f6d00977e6e8582304a033dd2276ba6”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-ppc64le-2.9.1-hdf0574f_1102.tar.bz2”h0Œ@b9c7f870c18ac3569ddb466474a6aa8e864edab0d40f3cf0dddf318bc2d45d1a”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åiy‹DhEJ hFˆubh)”}”(hŒsystemd-libs-cos7-aarch64”h#Œ219”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2systemd-libs-cos7-aarch64-219-h9d98e8f_104.tar.bz2”h+Œ fe2607c1fffa122ae94f9b4aa27617ab”h.Œ`https://conda.anaconda.org/conda-forge/noarch/systemd-libs-cos7-aarch64-219-h9d98e8f_104.tar.bz2”h0Œ@1bea5d76d5540a4e1bba83e27db19104fd5b36858be82306515231f2a86d6a82”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT”hBŒLGPL”hDGA×Ø™9;dhEJ5p hFˆubh)”}”(hŒp11-kit-trust-cos7-ppc64le”h#Œ0.23.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6p11-kit-trust-cos7-ppc64le-0.23.5-h9d98e8f_104.tar.bz2”h+Œ 30de854b5764d15f9e4035c74fde9c07”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-ppc64le-0.23.5-h9d98e8f_104.tar.bz2”h0Œ@33641c33d6475a923ce8a36f3022597e24e0cdf05f54a01a52105dd261c31f10”h2NhNh3Œ#p11-kit-cos7-ppc64le ==0.23.5 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉzjE²-hEJMr hFˆubh)”}”(hŒ
tidynamics”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒtidynamics-1.0.0-py_0.tar.bz2”h+Œ 70fe3e23ae29582fc246d99a2e849a28”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/tidynamics-1.0.0-py_0.tar.bz2”h0Œ@5b0a8197adda72cbb2d726a262b1ddbd346e4d8d305fe2677849409d9066ba5a”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖß³'®hEM¤hFˆubh)”}”(hŒjonga”h#Œ0.0.4”h%Œpyhd8ed1ab_1004”h'Mìhhh(h)hŒ#jonga-0.0.4-pyhd8ed1ab_1004.tar.bz2”h+Œ 1b2a0dcfd292755cf65ae535cdb42246”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jonga-0.0.4-pyhd8ed1ab_1004.tar.bz2”h0Œ@77675c9a81a65a540f7980c1138d4d1c9753b145c2f237a0f995c89c5d49092a”h2NhNh3Œ
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r-openxlsx”Œr-readxl >=0.1.1”Œr-tibble”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØfÜl‹hEJv! hFˆubh)”}”(hŒ
r-baseline”h#Œ1.3_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-baseline-1.3_4-r41hc72bb7e_0.tar.bz2”h+Œ abaacf1a81c71dee00abdf74a3c70183”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-baseline-1.3_4-r41hc72bb7e_0.tar.bz2”h0Œ@b7d5fd2a8c810f55f092aff03e40cb36af577383401e36ae5ee7cf963a4ff72e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-limsolve”Œ	r-sparsem”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ±‘¸;dhEJ•;" hFˆubh)”}”(hŒlibxext-devel-cos6-x86_64”h#Œ1.3.3”h%Œh1795305_1101”h'MMhhh(h)hŒ5libxext-devel-cos6-x86_64-1.3.3-h1795305_1101.tar.bz2”h+Œ fa06cbb8d74c36f07dfb452027c5e6fd”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos6-x86_64-1.3.3-h1795305_1101.tar.bz2”h0Œ@b599fb5964aea17c4d570aec741903bff4008063a67edc772ab8a046f977ff67”h2NhNh3Œlibxext-cos6-x86_64 1.3.3”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&<-hEJH hFˆubh)”}”(hŒr-kpeaks”h#Œ1.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-kpeaks-1.1.0-r40h6115d3f_1.tar.bz2”h+Œ 37ffd77a8c61656a0809ac23e369810d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-kpeaks-1.1.0-r40h6115d3f_1.tar.bz2”h0Œ@5b873ea1f8334f93ba411a205c18fae58a81feb97791d15cc851997114e6bc30”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«ø‰ßÎÙhEJ:c hFˆubh)”}”(hŒr-gbrd”h#Œ0.4_11”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ&r-gbrd-0.4_11-r40h6115d3f_1002.tar.bz2”h+Œ d160025864bf86626e7424f86b2c3ce5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gbrd-0.4_11-r40h6115d3f_1002.tar.bz2”h0Œ@c45e666e51bd997d830d1ddd6120da1532ebf7e65d42dc0a736e441102ee6bd0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×«Ñ"ÒJhEMáÚhFˆubh)”}”(hŒbackports.cached-property”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4backports.cached-property-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0e1df3978dd516e20ef88c86d51e5432”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/backports.cached-property-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1d86eafb5e9ed078f891e12b46692d786723652907dfb01b047c7da31f92b862”h2NhNh3Œpython >=3.6”Œtyping >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¬²]CçmhEM©$hFˆubh)”}”(hŒ	r-cardata”h#Œ3.0_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-cardata-3.0_5-r41hc72bb7e_0.tar.bz2”h+Œ 0da63f2b89139b0b1c452602e7e6b403”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cardata-3.0_5-r41hc72bb7e_0.tar.bz2”h0Œ@6b59cd915f591aeae7466718e15d6d51a63783002ed2d16006ddf4581589b736”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
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r-forecast”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ŽŠR^5hEJ‡© hFˆubh)”}”(hŒperl-test-requires”h#Œ0.11”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ0perl-test-requires-0.11-pl5321hd8ed1ab_0.tar.bz2”h+Œ 255f049c368e7f47d2d2c9466b935c01”h.Œ^https://conda.anaconda.org/conda-forge/noarch/perl-test-requires-0.11-pl5321hd8ed1ab_0.tar.bz2”h0Œ@c933adecfad6c76a9a758007bcaf28e060235b76b29a72a6a1243dd36d20106c”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÐk
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r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ÷D=qhEJ|} hFˆubh)”}”(hŒr-ensmodelvis”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-ensmodelvis-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ a91e368fb5afdc6464b752345753652d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ensmodelvis-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@a81822ad083ece153fb4deee9cfdf5e98edd626163b08592ce70ae3a7f3cd94f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-forcats”Œ	r-ggplot2”Œ
r-magrittr”Œr-rlang”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ·"¦¥?}hEJpÃ hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_1”h'Khhh(h)hŒ!fenics-fiat-2019.1.0-py_1.tar.bz2”h+Œ 5af2b944312a654ee5f3039e629d3b4e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_1.tar.bz2”h0Œ@3b67ef7c00114c7ae14453386aaa50a62f4a17de6acc48f9a10837a4ea86731b”h2NhNh3Œnumpy”Œpython >=3.5”Œ	sympy >=1”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×2¨þ•hEJó* hFˆubh)”}”(hŒpydaqmx”h#Œ1.4.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pydaqmx-1.4.6-pyhd8ed1ab_0.tar.bz2”h+Œ 0c38bd67d6f285300b5271444b203aa0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pydaqmx-1.4.6-pyhd8ed1ab_0.tar.bz2”h0Œ@e35f2d62c01804db1e1845209ca6d397a07a2276aad9dceb9e606265e8c5f075”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÍmVÕ‘hhEM"RhFˆubh)”}”(hŒjsoncomment”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&jsoncomment-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 64f1656e12b85309ce26bfd39b576298”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/jsoncomment-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@a92371009af5517ee67a5c5f3725adbe7b2dd3552406f89d2db0b05fd1105a40”h2NhNh3Œ	json-spec”Œpython >=3.3”†”h9h?h@ŒMIT”hBŒMIT”hDGA×è¡4záhEMp&hFˆubh)”}”(hŒin_place”h#Œ0.5.0”h%Œpyh44b312d_0”h'K hhh(h)hŒ#in_place-0.5.0-pyh44b312d_0.tar.bz2”h+Œ b5332c32cb8cede457d2abbe63d8c55a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/in_place-0.5.0-pyh44b312d_0.tar.bz2”h0Œ@7208ed2c9ad5137cb21ee220012140e438bb98f33694134a765dd755ddea49a2”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØbèbhEM./hFˆubh)”}”(hŒr-d3heatmap”h#Œ0.6.1.2”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ,r-d3heatmap-0.6.1.2-r40h6115d3f_1003.tar.bz2”h+Œ bdf455fab3202b279a4fd596b2148858”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-d3heatmap-0.6.1.2-r40h6115d3f_1003.tar.bz2”h0Œ@3e7d838c9ec1268774315288049bd2694abd8ecee0200012a0153cf3b9a064f8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-dendextend >=0.18.0”Œr-htmlwidgets”Œr-png”Œr-scales >=0.2.5”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬æx[çmhEJ
  hFˆubh)”}”(hŒnapari-geojson”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)napari-geojson-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ ad75cd00e8d46d76d0f692647077c547”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/napari-geojson-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1b73eb86ee76c376723feaeff3d63275dda95a97d189a651df1de4da47a16b80”h2NhNh3(Œgeojson”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~1'PhEM˜,hFˆubh)”}”(hŒmeshplot”h#Œ0.4.0”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ#meshplot-0.4.0-pyh9f0ad1d_1.tar.bz2”h+Œ f64d2dc69ee077b0ee7ac8c455cb674c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/meshplot-0.4.0-pyh9f0ad1d_1.tar.bz2”h0Œ@f969fff74fa25f211e0ab78a85114e0a24d3c3deabc4f875d9860ed2e444de6e”h2NhNh3(Œ
ipywidgets”Œ
matplotlib”Œnumpy”Œpython”Œ	pythreejs”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×²âú7LhEMÛehFˆubh)”}”(hŒ
r-writexls”h#Œ6.4.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-writexls-6.4.0-r41hc72bb7e_1.tar.bz2”h+Œ 5715f33b9a986efd7bed5e5fe3e36c00”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-writexls-6.4.0-r41hc72bb7e_1.tar.bz2”h0Œ@110b6bdd62e207b8e6eba1a0b961f38271239b3120123ab7d682ea9c00bc2802”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑÅ¸ðÔþhEJm	 hFˆubh)”}”(hŒ	taskgraph”h#Œ0.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%taskgraph-0.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ ada31a4c444702d4e1225f943fe0fc5c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/taskgraph-0.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f704024de89283d529c36ba98a94d4fa8650edff936a471a21352501d4191d61”h2NhNh3(Œpsutil”Œpython >=3.6”Œretrying >=1.3.0”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ[3u/hEM%‘hFˆubh)”}”(hŒpytest-parallel”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pytest-parallel-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 84e87c10ac52994d49eb630621b2f5b0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pytest-parallel-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@26b8911e13852425734252f076acef6eb6eda483ab7798a33fc6a466196ef299”h2NhNh3Œpytest >=3.0.0”Œpython >=3.6”Œtblib”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØY4P`BhEM 'hFˆubh)”}”(hŒr-censusapi”h#Œ0.8.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-censusapi-0.8.0-r41hc72bb7e_0.tar.bz2”h+Œ 392facb9bfaa8e4e3614dd9291db287b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-censusapi-0.8.0-r41hc72bb7e_0.tar.bz2”h0Œ@01bcdab1ad9ece5ab578fd14bd74ae528f0d0d8c135eda919d91003dd5bd4465”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¼ªP:ÀƒhEMùýhFˆubh)”}”(hŒrequests-magpie”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*requests-magpie-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ dce4a14af4390deb5b9ae3b0fe07d928”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/requests-magpie-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@eabef716fc6278694df52465c8fdcdf4f9904ece960e959fd10f26f87147b973”h2NhNh3Œpython >=3.5”Œrequests >=1.1.0”†”h9h?h@ŒISC”hBŒOTHER”hDGAØ¦0Ù‡hEMFhFˆubh)”}”(hŒnetworkx”h#Œ2.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#networkx-2.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ c4b9bd459cb74532910ab97756ec2051”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/networkx-2.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@9a27a8b4e52b3b46468d18734bb6cda7421154657d217c91e6854533bde60327”h2NhNh3(Œdecorator >=4.3.0,<5”Œmatplotlib-base >=3.3”Œnumpy >=1.19”Œpandas >=1.1”Œpython >=3.6”Œscipy >=1.5,!=1.6.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØN¯rãSøhEJ´“ hFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ&r-registry-0.5_1-r40hc72bb7e_2.tar.bz2”h+Œ 73f53f4d7255a556ef0fecfa3ae7e938”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r40hc72bb7e_2.tar.bz2”h0Œ@c45ecfb6d98a689c32434ba9cf94a905c93ceaf35fd4ff27a2423ccf4a7573e8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ÙÛQÛ#hEJF3 hFˆubh)”}”(hŒr-varhandle”h#Œ2.0.5”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-varhandle-2.0.5-r40hc72bb7e_1.tar.bz2”h+Œ 24ff11996c51081d3ad40b02b0126765”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-varhandle-2.0.5-r40hc72bb7e_1.tar.bz2”h0Œ@9ec6f0ea5ae0cd74fdbda88586d094342fb70cb5564de65204e2449070386406”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+MØ£×hEJ> hFˆubh)”}”(hŒperl-test-simple”h#Œ1.302191”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ2perl-test-simple-1.302191-pl5321hd8ed1ab_0.tar.bz2”h+Œ 050f999b662fafc1335674b96374e2a3”h.Œ`https://conda.anaconda.org/conda-forge/noarch/perl-test-simple-1.302191-pl5321hd8ed1ab_0.tar.bz2”h0Œ@62b0eec07d1faa67cf66f654ee8171753fadbaf2a1a5ae802a9330a500dad381”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-file-temp”Œperl-storable”‡”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØ½Šýí‘hhEJDD hFˆubh)”}”(hŒdalex”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ dalex-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ a5dab3931c97e5ebba9450f80ace4d28”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dalex-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c90f8ddfbee40f517a196d0a3c0217222ee19354fa0dc2a011a2739976575a86”h2NhNh3(Œnumpy >=1.20.3”Œpandas >=1.2.5”Œplotly >=5.1.0”Œpython >=3.7”Œscipy >=1.6.3”Œ
setuptools”Œtqdm >=4.61.2”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÇ!ß²hEJí hFˆubh)”}”(hŒ	r-configr”h#Œ0.3.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-configr-0.3.5-r42hc72bb7e_0.tar.bz2”h+Œ 06eff9287d40288ec8dbe8cbe916ecc9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-configr-0.3.5-r42hc72bb7e_0.tar.bz2”h0Œ@49012612847617503ae0416d880d082de889a9bc911e74c9b60a698bec4bcdc5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-glue”Œr-ini >=0.2”Œr-jsonlite >=1.2”Œr-rcpptoml >=0.1.3”Œr-stringr >=1.2.0”Œr-yaml >=2.1.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÙ7®j\hEJüí hFˆubh)”}”(hŒsysroot_linux-64”h#Œ2.12”h%Œh77966d4_13”h'Khhh(h)hŒ)sysroot_linux-64-2.12-h77966d4_13.tar.bz2”h+Œ e411486a18c4f61c59083c5792c1ce3b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.12-h77966d4_13.tar.bz2”h0Œ@51dbbfd300b573ee8614973bbcba7c093ebcaf89a6098607215b56eceef89f21”h2NhNh3Œ*kernel-headers_linux-64 2.6.32 h77966d4_13”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGA×ÉczèÄœhEJ­ÒãhFˆubh)”}”(hŒr-fwdselect”h#Œ2.1.0”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ*r-fwdselect-2.1.0-r40h6115d3f_1003.tar.bz2”h+Œ 89c3e11650d8771a3a2c123ef51a401b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-fwdselect-2.1.0-r40h6115d3f_1003.tar.bz2”h0Œ@961a6fc37cd565ea1dbe8b358e1ed923b0bf6e7e25c22749d62a03efe6a3d9e8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-cvtools”Œr-mgcv”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬Í.oPhEJâÞ hFˆubh)”}”(hŒtsflex”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!tsflex-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6dac2eae8972e29c13132dc6de33d651”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/tsflex-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6a8aa893d2f1f8df12789c3d34da506b782af68cafc5c4ec4b53e7041cf64782”h2NhNh3(Œdill >=0.3.3,<0.4.0”Œfastparquet >=0.6.3,<0.7.0”Œnumpy >=1.19.0,<2.0.0”Œpandas >=1.2.3,<2.0.0”Œpathos >=0.2.7,<0.3.0”Œpython >=3.6,<3.10”Œtqdm >=4.60.0,<5.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÑ™Èwß;hEMZ¿hFˆubh)”}”(hŒr-wikipedir”h#Œ1.5.0”h%Œr40_1003”h'Mëhhh(h)hŒ"r-wikipedir-1.5.0-r40_1003.tar.bz2”h+Œ c178983a3cf51054a043d4e702b9b01e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-wikipedir-1.5.0-r40_1003.tar.bz2”h0Œ@c0ef4bb3aa3e123b42ba1bbbd8786a4d0fdcb935d659c380a6b743b7d588725b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×«Ü­àbNhEJ'R hFˆubh)”}”(hŒr-esabcv”h#Œ1.2.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-esabcv-1.2.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 54ca2593ea9391d4ae4763254017e1e1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-esabcv-1.2.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@a76110f462f90d4d568d4ba05a4ecf04af532353e6cb033eeca635dcc6f43ad2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-corpcor”Œr-svd”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ¯ýü.$ÝhEJh
 hFˆubh)”}”(hŒr-gbrd”h#Œ0.4_11”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ&r-gbrd-0.4_11-r35h6115d3f_1001.tar.bz2”h+Œ c9624b5c2ec26c5fc7f4aac327a4f028”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gbrd-0.4_11-r35h6115d3f_1001.tar.bz2”h0Œ@1cbcba36e0741deeea520f271add24dc61197ce5dd736be6e7e7e4ae0705337e”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×K÷+tÝ/hEM¾hFˆubh)”}”(hŒkm3db”h#Œ0.7.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ km3db-0.7.5-pyhd8ed1ab_0.tar.bz2”h+Œ 9f0ccafe0c51e1e6ab6af9e559d50f85”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/km3db-0.7.5-pyhd8ed1ab_0.tar.bz2”h0Œ@1d3c65c16ebc53b62c1abe08b8c2ba8f222bf55840564f087f90aa6306d6a64a”h2NhNh3(Œdocopt”Œpython >=2.7”Œpytz”Œrequests”Œsetuptools-scm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÊ‹š  hEM¾YhFˆubh)”}”(hŒr-hgnchelper”h#Œ0.8.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-hgnchelper-0.8.1-r41hc72bb7e_0.tar.bz2”h+Œ 03a22d6ee23e63b2c6c8644d631f58b4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hgnchelper-0.8.1-r41hc72bb7e_0.tar.bz2”h0Œ@0587f10648e331d018f34155f20fe35dbd0a30c53b523e7cb2f2577771901eff”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+'ŠÐåhEJéd hFˆubh)”}”(hŒlibibverbs-devel-cos6-x86_64”h#Œ1.1.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ8libibverbs-devel-cos6-x86_64-1.1.8-ha826a6f_1103.tar.bz2”h+Œ fe76d3172e60441be69c46e40b660542”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libibverbs-devel-cos6-x86_64-1.1.8-ha826a6f_1103.tar.bz2”h0Œ@c7d854b11bb1face9f153b9dfa706720eaa234c090e84435dda347fa749e51fd”h2NhNh3Œ%libibverbs-cos6-x86_64 ==1.1.8 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Æ1¼b¬hEJœ hFˆubh)”}”(hŒr-waiter”h#Œ0.2.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-waiter-0.2.5-r41hc72bb7e_0.tar.bz2”h+Œ a4e73b012adb5ad540d74e3990073794”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-waiter-0.2.5-r41hc72bb7e_0.tar.bz2”h0Œ@d12700861088347641159bbc6b52ea8cf62a9fd49129bf1320700abb60ca8ab4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-htmltools”Œ
r-magrittr”Œr-r6”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØtÏšuÂhEJhT hFˆubh)”}”(hŒr-lmms”h#Œ1.3.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-lmms-1.3.3-r40hc72bb7e_1.tar.bz2”h+Œ 2061bfa808f5eddb2d58f1750c5ed617”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmms-1.3.3-r40hc72bb7e_1.tar.bz2”h0Œ@b30913d48aa7ce6ac6cff85e04eb0f1f0e3d5407e9cddf0a6f040d30d083460f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-gdata”Œ	r-ggplot2”Œr-gplots”Œr-gridextra”Œr-lmesplines”Œr-nlme”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ºãr¬hEJªý hFˆubh)”}”(hŒopensm-cos6-x86_64”h#Œ3.3.17”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/opensm-cos6-x86_64-3.3.17-h9b0a68f_1105.tar.bz2”h+Œ 658670fd28c125c046ce5c4df80f32fe”h.Œ]https://conda.anaconda.org/conda-forge/noarch/opensm-cos6-x86_64-3.3.17-h9b0a68f_1105.tar.bz2”h0Œ@f9d2fc57aa0567466b5a77c1cf9c7ea4f03d2dde6c097c73c2cda114a1ad5ab2”h2NhNh3Œ'opensm-libs-cos6-x86_64 ==3.3.17 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJO{hEJü hFˆubh)”}”(hŒr-aptreeshape”h#Œ1.5_0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-aptreeshape-1.5_0.1-r42hc72bb7e_1.tar.bz2”h+Œ 78fed2636c0576d8a2854d37bd9032e0”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-aptreeshape-1.5_0.1-r42hc72bb7e_1.tar.bz2”h0Œ@3ea5eed2dd2e05424b0e844cbc47c472e713ef3d40a6beba9b82317205552d3f”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-coda”Œ
r-cubature”Œ	r-pbapply”Œ
r-quantreg”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÓIÇ”záhEJ3 hFˆubh)”}”(hŒlibxcursor-devel-cos7-ppc64le”h#Œ1.1.15”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9libxcursor-devel-cos7-ppc64le-1.1.15-h9d98e8f_104.tar.bz2”h+Œ 60e9a1051ccef0b2d6dff3aafea23ae4”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos7-ppc64le-1.1.15-h9d98e8f_104.tar.bz2”h0Œ@272f7a4f7d95fede6ccac1d2dcc06fdc9ed659fbdab604c96c32e31429730b80”h2NhNh3Œ&libxcursor-cos7-ppc64le ==1.1.15 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}m$›¦hEMa9hFˆubh)”}”(hŒdash-leaflet”h#Œ0.1.23”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(dash-leaflet-0.1.23-pyhd8ed1ab_0.tar.bz2”h+Œ e2b8a722cbd53064e931e7aa5ef30cc2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/dash-leaflet-0.1.23-pyhd8ed1ab_0.tar.bz2”h0Œ@be5bff3178632f7d095adf8887f52ebd3ab70239860485d11d413229411a1580”h2NhNh3Œdash”Œgeobuf”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØb\š	©ühEJ¬ hFˆubh)”}”(hŒlibxshmfence-devel-cos7-x86_64”h#Œ1.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ8libxshmfence-devel-cos7-x86_64-1.2-h9d98e8f_1104.tar.bz2”h+Œ 4df92769480c14faf63b8c6317300647”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-x86_64-1.2-h9d98e8f_1104.tar.bz2”h0Œ@66a731d81f1413312e88171b600d1be103be6b619fd5e1273828e9685157aecc”h2NhNh3Œ%libxshmfence-cos7-x86_64 ==1.2 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É{I`õÃhEMhFˆubh)”}”(hŒcups-devel-cos7-x86_64”h#Œ1.6.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ2cups-devel-cos7-x86_64-1.6.3-ha826a6f_1103.tar.bz2”h+Œ aa40bd954af10fbf13689cf05b336b5f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos7-x86_64-1.6.3-ha826a6f_1103.tar.bz2”h0Œ@8d4ec3efe0f468af27c6eb1ecadd0eeb54292a6abee454a7ba8ed47d25c4e8dc”h2NhNh3Œ$cups-libs-cos7-x86_64 ==1.6.3 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{ÃYûçhEM–îhFˆubh)”}”(hŒlibxshmfence-devel-cos7-ppc64le”h#Œ1.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9libxshmfence-devel-cos7-ppc64le-1.2-h9d98e8f_1104.tar.bz2”h+Œ ee9a874b099a299510736cae12a169d3”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-ppc64le-1.2-h9d98e8f_1104.tar.bz2”h0Œ@b41ebda2569902671a73b28ab55bad01191c4f027c1a93df8a02b1ddbe587dcc”h2NhNh3Œ&libxshmfence-cos7-ppc64le ==1.2 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É}¶hEMhFˆubh)”}”(hŒr-iswr”h#Œ2.0_8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-iswr-2.0_8-r41hc72bb7e_1.tar.bz2”h+Œ 8bcb530859d513c4ed3ca6b80455c1c1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-iswr-2.0_8-r41hc72bb7e_1.tar.bz2”h0Œ@f8f498be2e4e4a069a2bc530bf5df34345e6e1cbb1f039be67a083f3e5edd7bd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+‰:\hEJ€ hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_10”h'K
hhh(h)hŒ!fenics-ffc-2019.1.0-py_10.tar.bz2”h+Œ 70029db65fa9296f0de5bed2ce71c108”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_10.tar.bz2”h0Œ@247c820a916124f5944d1ae872c5a23e8a43c84133dbf36e577d9cc87dc358c0”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×¾¹–òŸ¾hEJ‚Þ hFˆubh)”}”(hŒr-colortools”h#Œ0.1.5”h%Œr36_1002”h'Mêhhh(h)hŒ#r-colortools-0.1.5-r36_1002.tar.bz2”h+Œ f387f30fcc1c74d7eb330808c238dacb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-colortools-0.1.5-r36_1002.tar.bz2”h0Œ@2f3d3012b14b643229dfd1844a63cb9fc0632c3ad6347d3d26deaa9330b4b27c”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬í}Œ“hEJ/X hFˆubh)”}”(hŒr-concaveman”h#Œ1.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-concaveman-1.1.0-r42hc72bb7e_1.tar.bz2”h+Œ aabb248ac968c71faf5a3257333b8ec8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-concaveman-1.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@d676e61c1f9d691459e4bad1c4fb2f058fef91ee7f455e5b8475590da415afc9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-jsonlite”Œ
r-magrittr”Œr-sf”Œr-v8”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÔ%ÍÒòhEJúä hFˆubh)”}”(hŒjobflow”h#Œ0.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"jobflow-0.1.6-pyhd8ed1ab_0.tar.bz2”h+Œ cecc9790c2398f84423c20f631a1e0ff”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/jobflow-0.1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@84c85143461341572399327d5351b072b75650ead2e3853025a2933b1533301a”h2NhNh3(Œmaggma >=0.38.1”Œmonty >=2021.5.9”Œnetworkx”Œpydantic”Œpydash”Œpython >=3.7”Œpyyaml”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØq0ž±™šhEM˜–hFˆubh)”}”(hŒdit”h#Œ1.2.3”h%Œpy_0”h'K hhh(h)hŒdit-1.2.3-py_0.tar.bz2”h+Œ 2240b7102bd4c057aa324f212331344a”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/dit-1.2.3-py_0.tar.bz2”h0Œ@08e18ff7ba1a0fe4fb148a36a9def8000a5738f8cde726a926f4a202cfb2220e”h2NhNh3(Œboltons”Œcontextlib2”Œdebtcollector”Œnetworkx”Œnumpy >=1.11”Œprettytable”Œpython <3.7”Œscipy >=0.15.0”Œsix >=1.4.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×7kgÇKÇhEJ¿À hFˆubh)”}”(hŒr-bgmm”h#Œ1.8.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-bgmm-1.8.5-r42hc72bb7e_1.tar.bz2”h+Œ d1ce8ee1962c5ce2ab41b868bfcb9f9c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bgmm-1.8.5-r42hc72bb7e_1.tar.bz2”h0Œ@7caad6f1f3967222540f4076c76505eef657137181c9fbbce81cae45367b6864”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œ
r-combinat”Œ	r-lattice”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓX†~$ÝhEJA» hFˆubh)”}”(hŒr-assertthat”h#Œ0.2.1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ(r-assertthat-0.2.1-r36h6115d3f_2.tar.bz2”h+Œ 89894bf1427eea74d7adb24bf93858dc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-assertthat-0.2.1-r36h6115d3f_2.tar.bz2”h0Œ@4250e256531f3ea804f3c02b60f47a7b18b3b9f45a8e462e718e6391055c0abd”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«1H´¼jhEJq hFˆubh)”}”(hŒr-blme”h#Œ1.0_5”h%Œr42ha770c72_1”h'Khhh(h)hŒ"r-blme-1.0_5-r42ha770c72_1.tar.bz2”h+Œ 4f37de7d946edaf44a6de9c8e23ac6cb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-blme-1.0_5-r42ha770c72_1.tar.bz2”h0Œ@cf06d8f564e992215c8bc57bf907101d500bb7176b77f5c9a6531085276d440b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lme4 >=1.0_6”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒòÊ…‘hhEJõ? hFˆubh)”}”(hŒlibnl3-cos7-x86_64”h#Œ3.2.28”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libnl3-cos7-x86_64-3.2.28-ha826a6f_1103.tar.bz2”h+Œ f1b1d400ba65fa7d3d854c7b696b679d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-x86_64-3.2.28-ha826a6f_1103.tar.bz2”h0Œ@286f5eabe3cca64b0feac1aa60600eed67d23596ce39c175d9910cce65c39fd1”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÈXžJ~úhEJÜ hFˆubh)”}”(hŒ
r-isocodes”h#Œ
2022.09.29”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-isocodes-2022.09.29-r42hc72bb7e_1.tar.bz2”h+Œ db6f937872bcbc78178c4d1a2095d45a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-isocodes-2022.09.29-r42hc72bb7e_1.tar.bz2”h0Œ@d1cd8bb719ea7bb2e95052f7fbd9954047475d5989130744f9f151d99e02f27a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ„YÂhEJÚ hFˆubh)”}”(hŒsphinxcontrib-serializinghtml”h#Œ1.1.5”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ8sphinxcontrib-serializinghtml-1.1.5-pyhd8ed1ab_2.tar.bz2”h+Œ 9ff55a0901cf952f05c654394de76bf7”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.5-pyhd8ed1ab_2.tar.bz2”h0Œ@890bbf815cff114ddbb618b9876d492fce07d02956c1d7b3d46cb7f835f563f6”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ“ã·Â°!hEM`lhFˆubh)”}”(hŒmesa-dri1-drivers-cos6-x86_64”h#Œ7.11”h%Œha826a6f_103”h'Kghhh(h)hŒ7mesa-dri1-drivers-cos6-x86_64-7.11-ha826a6f_103.tar.bz2”h+Œ 8c92d44aaff5ced59d3464b25535fef6”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-dri1-drivers-cos6-x86_64-7.11-ha826a6f_103.tar.bz2”h0Œ@9c2e74d94b6b54dc7c0f255eafca0fd3975e1253b117bc5eb7f43582e463ac89”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/Ð
áHhEJˆïD hFˆubh)”}”(hŒr-widyr”h#Œ0.1.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-widyr-0.1.5-r41hc72bb7e_0.tar.bz2”h+Œ 37585f2d9f8a9c384fd2a57984e7ab20”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-widyr-0.1.5-r41hc72bb7e_0.tar.bz2”h0Œ@83b0482439af6f05b7141cd7cc2b9074dbdb61f382ac0e07fc57eedb53799d9a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr”Œr-gapminder”Œr-matrix”Œr-purrr”Œ
r-reshape2”Œr-rlang”Œr-tibble”Œr-tidyr”Œ
r-tidytext”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÈ"ÎF‡+hEJr hFˆubh)”}”(hŒmechwolf”h#Œ0.1.1”h%Œpy_1”h'Khhh(h)hŒmechwolf-0.1.1-py_1.tar.bz2”h+Œ 1ef15e1a724eea6733bc9766942b6542”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/mechwolf-0.1.1-py_1.tar.bz2”h0Œ@d588564f8bd1791d7a2bdc94fb6fa03daea815e5915b0f6d840b1ef12855ee0e”h2NhNh3(Œaiofiles”Œ	aioserial”Œaltair”Œbokeh”Œgraphviz >=2.40.1,<3.0a0”Œipython >=7.0”Œ
ipywidgets”Œjupyter”Œloguru”Œnb_conda_kernels”Œnest-asyncio”Œnetworkx”Œpint”Œpytest”Œpytest-runner”Œpython >=3.7”Œpython-graphviz”Œpython-xxhash”Œpyyaml”Œterminaltables”Œvega”t”h9h?h@ŒGPL-3.0”hBŒGPL3”hDGA×b±z_ß;hEMÒÌhFˆubh)”}”(hŒjupyter-jsmol”h#Œ2022.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+jupyter-jsmol-2022.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 15727dde1d0ec700a0c1c013e3a84ecb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyter-jsmol-2022.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@767e65c481e7673363a212a28c4d659c6476ba82a3b11b6f32f21f32cd852c27”h2NhNh3Œipywidgets >=7.6.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØwÝS³C–hEJnÔQ hFˆubh)”}”(hŒr-clustimpute”h#Œ0.2.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-clustimpute-0.2.4-r40hc72bb7e_0.tar.bz2”h+Œ 98566127142b3d5ffd8fd58482346521”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-clustimpute-0.2.4-r40hc72bb7e_0.tar.bz2”h0Œ@f0bca204b304804e354dff9ff9a63e15fee4b39365594b45c98f55419e56d3d2”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-clusterr”Œr-copula”Œr-dplyr”Œ	r-ggplot2”Œr-knitr”Œ
r-magrittr”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ-/"Ú°!hEJê:
 hFˆubh)”}”(hŒosmnx”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ osmnx-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ b79b91b9f090e5af35cfe4087670b28b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/osmnx-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0fa94d5471d894c60ad70a148b140a708f2b2856edcf59bb9e672a7ba0d51382”h2NhNh3(Œfolium”Œgdal”Œ	geopandas”Œmatplotlib-base”Œnetworkx”Œnumpy”Œpandas”Œpyproj”Œpython >=3.8”Œrasterio”Œrequests”Œrtree”Œscikit-learn”Œscipy”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ»dÁÐ  hEJÔ! hFˆubh)”}”(hŒr-turner”h#Œ0.1.7”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ'r-turner-0.1.7-r36h6115d3f_1001.tar.bz2”h+Œ 926db8392139881c66179bcc53bd91d1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-turner-0.1.7-r36h6115d3f_1001.tar.bz2”h0Œ@0d07a3648c38b2c70ba6209a23fff8f49fa545b7f95a72e17923f7f392d921e4”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-tester”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LW“ó÷ÏhEJ{™ hFˆubh)”}”(hŒr-survivalanalysis”h#Œ0.3.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ.r-survivalanalysis-0.3.0-r42hc72bb7e_1.tar.bz2”h+Œ 6446f0eea1ea42e82cc4eeefa4b4b54d”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-survivalanalysis-0.3.0-r42hc72bb7e_1.tar.bz2”h0Œ@9ea729601ca0f5efeba79023b527ce80a34738a011b330ede91004fa27a75035”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cowplot”Œr-dplyr”Œ	r-forcats”Œr-ggplot2 >=2.2.1”Œr-gridextra”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-scales”Œ	r-stringr”Œ
r-survival”Œr-survminer >0.4.0”Œr-tibble”Œr-tidyr”Œr-tidytidbits”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÓ‰&çl‹hEJ¼U hFˆubh)”}”(hŒr-tensor”h#Œ1.5”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ%r-tensor-1.5-r41hc72bb7e_1003.tar.bz2”h+Œ cc859d9ae4963b11debf6033b8579698”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tensor-1.5-r41hc72bb7e_1003.tar.bz2”h0Œ@6fed90376bffd4fd3ccb064c889fcd713ef5836ccfe11bb81ba0a1b19939e3ae”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*ÙHKÇhEM‚yhFˆubh)”}”(hŒintake-spark”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'intake-spark-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 53755dc6f205457ed613ac684211d848”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/intake-spark-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6001436ba19dfacc675769c85d77d77978cfb229672c40315b828872d5283e2d”h2NhNh3Œintake >=0.3”Œpyspark”Œpython >=3.5”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ7â-²-hEMµ/hFˆubh)”}”(hŒax-platform”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ax-platform-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 55738b7b626c0c4b57ae8b6dd6b33f2a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ax-platform-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@c3757ac9fa9c70fa2abc31e78d107cf15c8df3af2cc7baa249b5f181bb304753”h2NhNh3(Œbotorch 0.6.2”Œjinja2”Œmultipledispatch”Œpandas”Œplotly”Œpython >=3.7”Œscikit-learn”Œscipy”Œ
sqlalchemy”Œ	typeguard”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŒo‡³33hEJÍä hFˆubh)”}”(hŒ
scikit-ued”h#Œ2.1.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&scikit-ued-2.1.13-pyhd8ed1ab_0.tar.bz2”h+Œ 8c5a9bec0ac4ccc0648e73e1a7ec006c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/scikit-ued-2.1.13-pyhd8ed1ab_0.tar.bz2”h0Œ@0ae71aa5ffdd437f2e6536757b0024fe97ada53ae86971989062d7c056a22c25”h2NhNh3(Œcrystals >=1.3.0,<2”Œmatplotlib-base >=3.0.0,<4”Œnpstreams >=1.6.5,<2”Œnumpy >=1.17,<2”Œpython >=3.7”Œpywavelets >=1.0.0,<2”Œpyyaml >=3.1”Œscikit-image >=0.17,<1”Œscipy >=1.5.0,<2”t”h9h?h@ŒGPL-3.0-only”hBŒGPL3”hDGAØØ˜~—hEJ° hFˆubh)”}”(hŒlibxdamage-devel-cos6-x86_64”h#Œ1.1.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8libxdamage-devel-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h+Œ 9625d15382d6b288ea27c40f3177af37”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h0Œ@78f9848c06d317ec0500873389ea9d23d7a7e979847d63e4e80a88c1e7c902c3”h2NhNh3Œ%libxdamage-cos6-x86_64 ==1.1.3 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+¡ýhEMyhFˆubh)”}”(hŒ
rb-octokit”h#Œ4.14.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ$rb-octokit-4.14.0-hc42de5b_0.tar.bz2”•      h+Œ 038bd8e71a1d29976ab77b60dc038946”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rb-octokit-4.14.0-hc42de5b_0.tar.bz2”h0Œ@44a97872aeb3f3ae6805b8fd6369a0553c9d1a52af5fb4df26877b0988f1ffa1”h2NhNh3Œrb-sawyer >=0.8.0,<0.9”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ZåÈŸ®hEJŽP hFˆubh)”}”(hŒgdk-pixbuf2-cos6-x86_64”h#Œ2.24.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3gdk-pixbuf2-cos6-x86_64-2.24.1-h9d98e8f_104.tar.bz2”h+Œ 4f66212c694d093d5c555fe0a288f90b”h.Œahttps://conda.anaconda.org/conda-forge/noarch/gdk-pixbuf2-cos6-x86_64-2.24.1-h9d98e8f_104.tar.bz2”h0Œ@9aefe1e65e2eb94552ac241f02b12da40b7589d13376f193dcc42df8469a73b8”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@Œ2LGPLv2+ and (LGPLv2+ or MPLv1.1) and Public Domain”hBŒLGPL”hDGA×Éy2D“hEJ³ hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_9”h'K	hhh(h)hŒ!fenics-fiat-2019.1.0-py_9.tar.bz2”h+Œ 0f6ddc2f0029d46e13a365ae97ffff63”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_9.tar.bz2”h0Œ@f2b8fafc851d3d7199cc087b3d8bb45b1595320f24e490afe88d7030e7c8c53b”h2NhNh3(Œnumpy”Œpython >=3.5”Œ
setuptools”Œ	sympy >=1”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×“ñ²†ffhEJ…+ hFˆubh)”}”(hŒpyosf”h#Œ1.0.5”h%Œpy_2”h'Khhh(h)hŒpyosf-1.0.5-py_2.tar.bz2”h+Œ ba0e89a0b0bbc820cc364577c4952543”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pyosf-1.0.5-py_2.tar.bz2”h0Œ@c767711bac272b0e53ec37ba57dba6a89f3b8b4c9d5d772c97f6874640d32c03”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖðS…®hEM¶UhFˆubh)”}”(hŒr-naepirtparams”h#Œ1.0.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-naepirtparams-1.0.0-r41hc72bb7e_1.tar.bz2”h+Œ b2eb1e145399f207f6cd22e1958cef9c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-naepirtparams-1.0.0-r41hc72bb7e_1.tar.bz2”h0Œ@e3869acfa3834d589c4e25d87dbba30cd30f31e3e5db25590b03bff2af976e5e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ›­/ß;hEJà- hFˆubh)”}”(hŒ	rb-docopt”h#Œ0.6.1”h%Œ
hd4c1694_0”h'K hhh(h)hŒ"rb-docopt-0.6.1-hd4c1694_0.tar.bz2”h+Œ d3e93e2eb9ea89429cd9fff261a7471c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-docopt-0.6.1-hd4c1694_0.tar.bz2”h0Œ@885dd65e3836eec0dd217d1d180f9d474df01a49cc1fb52956f14d19c0b27843”h2NhNh3Œrb-json >=1.6.5,<2”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×]ÒˆA‰hEMô’hFˆubh)”}”(hŒrsa”h#Œ4.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒrsa-4.8-pyhd8ed1ab_0.tar.bz2”h+Œ 0fdcca8ad4e0e66bde199c40f2d1019a”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/rsa-4.8-pyhd8ed1ab_0.tar.bz2”h0Œ@744989567c8163c7cd806901be3f0d4f4f909e4307514b431f798b13f7b2fcd9”h2NhNh3Œpyasn1 >=0.1.3”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØg£Á·KÇhEM§}hFˆubh)”}”(hŒpatch-ng”h#Œ1.17.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$patch-ng-1.17.4-pyh9f0ad1d_0.tar.bz2”h+Œ a8f6c4fa2e2edf7ee65714910a9a760f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/patch-ng-1.17.4-pyh9f0ad1d_0.tar.bz2”h0Œ@5b4a23ae7ed47707b76856dfc33c169988fc8dee421b6b75eea18d2e13505129”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¢Ü~Ä(öhEMzHhFˆubh)”}”(hŒ
r-micropan”h#Œ2.1”h%Œr40h6115d3f_0”h'K hhh(h)hŒ$r-micropan-2.1-r40h6115d3f_0.tar.bz2”h+Œ 44c3d3fb8161a01b80a4cc3cc2142b9a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-micropan-2.1-r40h6115d3f_0.tar.bz2”h0Œ@10b56e6ccb067e836513bb962a914fdf5b87de69189a67ef05aa1fb63fc90343”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-igraph”Œ
r-microseq”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ÃÔ‘™šhEJÕd hFˆubh)”}”(hŒr-fontbitstreamvera”h#Œ0.1.1”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ2r-fontbitstreamvera-0.1.1-r41hc72bb7e_1004.tar.bz2”h+Œ 170e2f5b6293676f852b1f485a16ea7f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-fontbitstreamvera-0.1.1-r41hc72bb7e_1004.tar.bz2”h0Œ@c37d0ea493a57fb97d9f130c632b2427318fd7e93711c6ee8e8bb41643ea6bc2”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBitstream Vera Fonts”hBŒOTHER”hDGAØÑ2Ë-¡ËhEJ\u	 hFˆubh)”}”(hŒr-setrng”h#Œ2022.4_1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-setrng-2022.4_1-r40hc72bb7e_0.tar.bz2”h+Œ 588a711f5a131b62ddae781e02f90af0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-setrng-2022.4_1-r40hc72bb7e_0.tar.bz2”h0Œ@45362dd41af99f2dd4ed607e87ae2883055112e8bb1ab8f8d5880d58fa5d4877”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ’v3T¼jhEJ1 hFˆubh)”}”(hŒ
make-sense”h#Œ1.7.0”h%Œ
hc9558a2_0”h'K hhh(h)hŒ#make-sense-1.7.0-hc9558a2_0.tar.bz2”h+Œ 5baf774a9e1e1754ef1cb437ff4e3098”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/make-sense-1.7.0-hc9558a2_0.tar.bz2”h0Œ@09ca05e1538d55dc7fb7884bde81e2843dc00c5172a0aed9e64ae6a949a19c78”h2NhNh3Œnodejs”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGA×ßuð“•hEJ±i	
hFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-aarch64”h#Œ2018.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ=xorg-x11-proto-devel-cos7-aarch64-2018.4-hdf0574f_102.tar.bz2”h+Œ 57f42ecd71b9df3d18058b96f1f9bb80”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-aarch64-2018.4-hdf0574f_102.tar.bz2”h0Œ@88e52f07f5d805fcb6aa3779984fe3459e5b1343a93ef8a8c4b3562f7d684ca6”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;…øA‰hEJa— hFˆubh)”}”(hŒ
r-dygraphs”h#Œ1.1.1.6”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ+r-dygraphs-1.1.1.6-r41hc72bb7e_1004.tar.bz2”h+Œ a67ef900ad25aae13ef0a390188ac774”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-dygraphs-1.1.1.6-r41hc72bb7e_1004.tar.bz2”h0Œ@5cb00de046433704bd92f4fb18317156b07c13f4eebaeaaa066fad6faafe41f2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.3.5”Œr-htmlwidgets >=0.6”Œ
r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐªÒïžhEJ# hFˆubh)”}”(hŒr-ucscxenatools”h#Œ1.4.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-ucscxenatools-1.4.8-r41hc72bb7e_0.tar.bz2”h+Œ bab14507dc00d974bec96400356d14df”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ucscxenatools-1.4.8-r41hc72bb7e_0.tar.bz2”h0Œ@69c6c9ce52955856e90076f2e45c10341189e9c5f7a3afe3664880a1188212c2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-dplyr”Œr-httr”Œ
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Apache 2.0”hDGA×-7–vÉhEMÊhFˆubh)”}”(hŒr-glm2”h#Œ1.2.1”h%Œr40ha770c72_1003”h'Mëhhh(h)hŒ%r-glm2-1.2.1-r40ha770c72_1003.tar.bz2”h+Œ 9dce01cdf33445fb16af7685a29bbb51”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-glm2-1.2.1-r40ha770c72_1003.tar.bz2”h0Œ@ef17ea07e0a30c1e15e2bb6b08f5703c6c02e42f3f2a31408a726342872a0cd8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
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python >=3”Œsix >=1.10.0,<2”t”h9h?h@ŒLGPL-2.1-only”hBŒLGPL”hDGAØr)¼¬hEMÓlhFˆubh)”}”(hŒr-matrix.utils”h#Œ0.9.8”h%Œr36h6115d3f_0”h'K hhh(h)hŒ*r-matrix.utils-0.9.8-r36h6115d3f_0.tar.bz2”h+Œ 7e538f98b606a6e4a00ecb95f94ecb89”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-matrix.utils-0.9.8-r36h6115d3f_0.tar.bz2”h0Œ@c121a3a5217481a9c058748a70ec319372135848bf91f2e62c3a026f0a371d1c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-grr”Œr-matrix”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×•×´[•hEJe hFˆubh)”}”(hŒlibidl-devel-cos7-ppc64le”h#Œ0.8.14”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libidl-devel-cos7-ppc64le-0.8.14-h9b0a68f_105.tar.bz2”h+Œ 6c310dfbbe83b747b8fc064d43438fe5”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-ppc64le-0.8.14-h9b0a68f_105.tar.bz2”h0Œ@27885f2eb14caf6f3cd509bb4f95aa3026ba7179018d5ba7f25e41b53ce3fd74”h2NhNh3Œ$glib2-devel-cos7-ppc64le >=2.0 *_105”Œ"libidl-cos7-ppc64le ==0.8.14 *_105”Œ"pkgconfig-cos7-ppc64le >=0.8 *_105”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@è(ÔþhEM jhFˆubh)”}”(hŒgraphql-server-core”h#Œ1.2.0”h%Œpy_1”h'Khhh(h)hŒ&graphql-server-core-1.2.0-py_1.tar.bz2”h+Œ a5694bb744ccbdaaaf0f45ac34894cbd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/graphql-server-core-1.2.0-py_1.tar.bz2”h0Œ@96f34a80b4452768472648b1fefabc5551e83c2de7d15f5eab47cee8bf03b424”h2NhNh3Œgraphql-core >=2.3,<3”Œpromise >=2.3,<3”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×•Ð6õÂhEMÙ'hFˆubh)”}”(hŒprivy”h#Œ6.0.0”h%Œpy_0”h'K hhh(h)hŒprivy-6.0.0-py_0.tar.bz2”h+Œ 2e187aa0fdc8dd6f2a3be109a5309f47”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/privy-6.0.0-py_0.tar.bz2”h0Œ@6b3f07c8e5444390c3c5dae1cc64d4f6733d8d6c76a86653ad102045435418d2”h2NhNh3Œargon2_cffi”Œcryptography”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖø‚¥  ÅhEJ»²+ hFˆubh)”}”(hŒpymedphys_fileformats”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒ)pymedphys_fileformats-0.11.0-py_0.tar.bz2”h+Œ 0508c8d1e2744073174c1f6e74752289”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pymedphys_fileformats-0.11.0-py_0.tar.bz2”h0Œ@2dc339f110be08fb9915ab2d2c3083e019c650bf4e3d4fd4fe069696c6cd426d”h2NhNh3(Œnumpy >=1.12”Œpandas”Œpymedphys_base 0.11.0 py_0”Œpython >=3.7”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×]èƒ·KÇhEMÛhFˆubh)”}”(hŒboto3”h#Œ1.24.59”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"boto3-1.24.59-pyhd8ed1ab_0.tar.bz2”h+Œ ffb13a0a5fc8e17ce396f4dfcdf5dab5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/boto3-1.24.59-pyhd8ed1ab_0.tar.bz2”h0Œ@89fd09bdc9d9a608387fd80b19fd084f26309d7857bd9a3957216a718f58b3de”h2NhNh3(Œbotocore >=1.27.59,<1.28.0”Œjmespath >=0.7.1,<2.0.0”Œpython >=3.7”Œs3transfer >=0.6.0,<0.7.0”t”h9h?h@Œ
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r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØˆƒ%hEJ»0 hFˆubh)”}”(hŒbitmath”h#Œ1.3.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$bitmath-1.3.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6b7805bb42cc2127c6c369aa57a3d8d1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/bitmath-1.3.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@150e7d50db25a6a1229e9956e94188233e2a0eaaa174629170bf88808e662f31”h2NhNh3Œ
python >=3”…”h9h?h@ŒMIT”hBŒMIT”hDGAØŸ³:¬hEMÇahFˆubh)”}”(hŒjsonextended”h#Œ0.7.11”h%Œpy_0”h'K hhh(h)hŒ jsonextended-0.7.11-py_0.tar.bz2”h+Œ 7172efd85c630ea6e5dea83d71c5bdc1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/jsonextended-0.7.11-py_0.tar.bz2”h0Œ@a843510f316d166fa22c14b1ceaecc56c35ee28f90fab39aa2898620889bd7cf”h2NhNh3(Œijson”Œpathlib2”Œpint”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×BÞò¬hEJaú hFˆubh)”}”(hŒwebkitgtk-devel-cos6-x86_64”h#Œ1.4.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7webkitgtk-devel-cos6-x86_64-1.4.3-h9b0a68f_1105.tar.bz2”h+Œ 30d053e10cd7d25a31734a41cf089dc9”h.Œehttps://conda.anaconda.org/conda-forge/noarch/webkitgtk-devel-cos6-x86_64-1.4.3-h9b0a68f_1105.tar.bz2”h0Œ@bf34cc9308159ca3054b54aa21ac369499ebe872aa5ad8f0c1fcd7cd585c41fc”h2NhNh3Œsysroot_linux-64 2.12.*”Œ$webkitgtk-cos6-x86_64 ==1.4.3 *_1105”†”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGAØ@[m)hshEJf hFˆubh)”}”(hŒthefuzz”h#Œ0.19.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#thefuzz-0.19.0-pyhd8ed1ab_1.tar.bz2”h+Œ 18fab2321242eeb24466bbf3fbb400a7”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/thefuzz-0.19.0-pyhd8ed1ab_1.tar.bz2”h0Œ@e141133d2795eaf4a02b4e0c6120220177dd63989d1e91381512e942c24b5341”h2NhNh3Œpython >=3.6”Œpython-levenshtein >=0.12”†”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØ±×L¼jhEMžYhFˆubh)”}”(hŒr-bedr”h#Œ1.0.7”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-bedr-1.0.7-r40hc72bb7e_1.tar.bz2”h+Œ 1ade8c3d4e7931f8ff5ba391b7c70772”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bedr-1.0.7-r40hc72bb7e_1.tar.bz2”h0Œ@64bcca53b86d9f31c0f666953c830ed1ddeef626120780cf5eb6e45fcdec92c9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table >=1.8.11”Œr-r.utils >=2.0.2”Œr-testthat >=0.7.1”Œr-venndiagram >=1.6.4”Œr-yaml >=2.1.10”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+™K]‘hhEJƒf hFˆubh)”}”(hŒcherrypy”h#Œ17.3.0”h%Œpy_0”h'K hhh(h)hŒcherrypy-17.3.0-py_0.tar.bz2”h+Œ 5085e2b766fe2921e417ba8790497fb5”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/cherrypy-17.3.0-py_0.tar.bz2”h0Œ@2ea5bd0691293523f1866394b0e858a1e9253e37cf83c0b51a1860ef0b100957”h2NhNh3(Œcheroot >=6.2.4”Œcontextlib2”Œmore-itertools”Œportend >=2.1.1”Œ	pyopenssl”Œpython”Œroutes >=2.3.1”Œ
simplejson”Œsix >=1.11.0”Œzc.lockfile”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖßW¡hshEJÒ hFˆubh)”}”(hŒmne-base”h#Œ1.0.3”h%Œpyh57928b3_3”h'Khhh(h)hŒ#mne-base-1.0.3-pyh57928b3_3.tar.bz2”h+Œ 8f9cafd8c3531fd64eb58d53edf77dda”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/mne-base-1.0.3-pyh57928b3_3.tar.bz2”h0Œ@70afe77b4856a06b71a1eaab984756c0188fbc1ec4a0d53e10f0410f4991b96a”h2NhNh3(Œ	decorator”Œjinja2”Œmatplotlib-base >=3.1.0”Œnumpy >=1.18.1”Œ	packaging”Œpooch >=1.5”Œpython >=3.7”Œscipy >=1.4.1”Œ
setuptools”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ«œ.éyhEJ¾s hFˆubh)”}”(hŒlibxi-cos7-aarch64”h#Œ1.7.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libxi-cos7-aarch64-1.7.9-h9d98e8f_104.tar.bz2”h+Œ ceeb4c69aa462b7dfc9771f0f53ff8b5”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-aarch64-1.7.9-h9d98e8f_104.tar.bz2”h0Œ@732f1cf3ad39d4ced2cb0313629627a6008c5def8176e1cc16501f8d6094a6db”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|fQ7LhEMxhFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr40h6115d3f_3”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r40h6115d3f_3.tar.bz2”h+Œ dc1e4ee55adb4406d50b02e676b34787”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r40h6115d3f_3.tar.bz2”h0Œ@b459cf0fb6290039f5d594484012f54129a24a8562aa8950698928ac8f39e140”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Äd,«×
hEJqô hFˆubh)”}”(hŒlibsoup-devel-cos7-aarch64”h#Œ2.62.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ7libsoup-devel-cos7-aarch64-2.62.2-ha826a6f_1103.tar.bz2”h+Œ 903780752e00088d60587c6dac448559”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos7-aarch64-2.62.2-ha826a6f_1103.tar.bz2”h0Œ@5626b738c0bafc3ae7ba2dbc66bed8b64a1c95345f9ab6d0431da79b4ada88ae”h2NhNh3Œ$libsoup-cos7-aarch64 ==2.62.2 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ|@Üí‘hEJ—L hFˆubh)”}”(hŒr-plasmidprofiler”h#Œ0.1.6”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ0r-plasmidprofiler-0.1.6-r40h6115d3f_1002.tar.bz2”h+Œ 9bf2ab2d47a36a5bebd4356db7e8c6b8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-plasmidprofiler-0.1.6-r40h6115d3f_1002.tar.bz2”h0Œ@dad8cc8e809a1440c86f84b1601dee3004a8b698ed5f8552173c6b3f318e35d5”h2NhNh3(Œr-ape”Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-gdata”Œ
r-ggdendro”Œ	r-ggplot2”Œr-gridextra”Œr-gtable”Œr-htmlwidgets”Œ
r-magrittr”Œr-plotly”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”Œ	r-stringr”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×¬œ?“uhEJT­ hFˆubh)”}”(hŒpymca-zocalo”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒpymca-zocalo-0.2.0-py_0.tar.bz2”h+Œ c373669ef99aeceefc8e617c6ff78539”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pymca-zocalo-0.2.0-py_0.tar.bz2”h0Œ@9120692e777b82d0c88a53af9862d10b19d91eb422eee904d05fa677b00327b8”h2NhNh3(Œpymca”Œ
python >=3”Œ
setuptools”Œworkflows >=1.7”Œxraylib”Œzocalo”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×r÷hpå`hEM·(hFˆubh)”}”(hŒr-tpea”h#Œ3.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-tpea-3.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 2264ead830866c4a671535ce40f831e6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tpea-3.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@94f2f1c78dc303f1c729c28edbb32cc4ad82b4719223f7cf007ecb1d99323bea”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-foreach”Œr-igraph”Œr-matrix”Œr-mess”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+Ì9AG®hEJA hFˆubh)”}”(hŒr-x13binary”h#Œ1.1.57_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-x13binary-1.1.57_3-r41hc72bb7e_1.tar.bz2”h+Œ 1cb8d83a9dfc2ba11ddb471d1b753a25”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-x13binary-1.1.57_3-r41hc72bb7e_1.tar.bz2”h0Œ@7dfa2fb46f2446bb254cac2ad72bcd72e3c16a9b96d5f89258560991d7c0b260”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑ­ï¢¬hEJÆ4  hFˆubh)”}”(hŒ	r-reutils”h#Œ0.2.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-reutils-0.2.3-r41hc72bb7e_2.tar.bz2”h+Œ 8f81282d5c99c74a271e32e871206fda”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reutils-0.2.3-r41hc72bb7e_2.tar.bz2”h0Œ@a5af9a65cc508f1aa5e489758c0cefb49c8f2b43f460cdec6d3d36036b2d6233”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-rcurl”Œr-tibble >=1.2”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒHzáhEJ“; hFˆubh)”}”(hŒr-pkgfilecache”h#Œ0.1.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ*r-pkgfilecache-0.1.4-r42hc72bb7e_0.tar.bz2”h+Œ 6384701e14ec9913e5d2d22b5d49da5e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-pkgfilecache-0.1.4-r42hc72bb7e_0.tar.bz2”h0Œ@076cdefa2d35901ed0688664e07a68f9e3d02a51e742d41de49bf9a6a3dcc59c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-downloader”Œ
r-rappdirs”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØØ²,1hEJÓ hFˆubh)”}”(hŒ
r-ggcharts”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggcharts-0.2.1-r41hc72bb7e_0.tar.bz2”h+Œ daa2c5e85018a60424f7bf4376dc0564”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggcharts-0.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@48df4a760b4f7f82e042bf3bd3f6ef1734325a6fd8b0c0703c03b2b4621f45a4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-patchwork”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+À©{¶FhEJG hFˆubh)”}”(hŒr-shinystan”h#Œ2.6.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-shinystan-2.6.0-r41hc72bb7e_0.tar.bz2”h+Œ 073c1818eafd6c5107db28eb6e1724b9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinystan-2.6.0-r41hc72bb7e_0.tar.bz2”h0Œ@12baabe35b7052e80fa40789733dfe6c5906e64cde2cdbdab2054c3bc2bc8490”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayesplot >=1.5.0”Œr-colourpicker”Œ
r-dt >=0.2”Œr-dygraphs >=1.1.1.2”Œr-ggplot2 >=2.1.1”Œr-gridextra”Œr-gtools”Œr-markdown >=0.7.4”Œ
r-reshape2”Œr-rsconnect >=0.4.2”Œr-rstan >=2.17.1”Œr-shiny >=1.0.3”Œr-shinyjs >=0.6.0”Œr-shinythemes >=1.0.1”Œr-threejs >=0.2.1”Œr-xtable”Œr-xts >=0.9_7”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØˆFŠ^5hEJ”; hFˆubh)”}”(hŒcairo-cos6-x86_64”h#Œ1.8.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-cairo-cos6-x86_64-1.8.8-h9b0a68f_1105.tar.bz2”h+Œ 9f9427afc854bfe8f115785e195c978a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/cairo-cos6-x86_64-1.8.8-h9b0a68f_1105.tar.bz2”h0Œ@799f30a6333c026c1c73ad7a5db6e4f190a2dee1191f8897f6b9aaf825c00871”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGAØ@X QÛ#hEJŒÞ hFˆubh)”}”(hŒdlx”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdlx-1.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ e0dc1dec9687bb36e66e058fd98edd86”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/dlx-1.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@36f5b4c7605923e6444a857d3ccfd9eabc3568b6b984814f517a43a3d5279b79”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØl??¢MÓhEM‰%hFˆubh)”}”(hŒr-rlumshiny”h#Œ0.2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-rlumshiny-0.2.3-r41hc72bb7e_1.tar.bz2”h+Œ eba60ceacedf797e8bc107f9be88dbd6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rlumshiny-0.2.3-r41hc72bb7e_1.tar.bz2”h0Œ@3755e1dd1f878541897ef7be2a7f8afe43c00f7a17ccf0cde89a5264f22a0c73”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.14.2”Œr-dt >=0.20”Œr-googlevis >=0.6.11”Œr-knitr >=1.37”Œr-luminescence >=0.9.17”Œr-markdown >=1.1”Œr-rcarb >=0.1.4”Œr-readxl >=1.3.1”Œr-rhandsontable >=0.3.8”Œr-shiny >=1.7.0”Œr-shinydashboard >=0.7.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ¸á%hEJ_X hFˆubh)”}”(hŒr-ggresidpanel”h#Œ0.3.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ*r-ggresidpanel-0.3.0-r41hc72bb7e_3.tar.bz2”h+Œ d4c12bd951cbfdf683ac28871fe114c2”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ggresidpanel-0.3.0-r41hc72bb7e_3.tar.bz2”h0Œ@94da31637629cd60d97084c00b56822fa8695a438e887d9f8eb8150ce1600434”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œ	r-ggplot2”Œr-mass”Œr-plotly”Œ	r-qqplotr”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒqŒ(öhEJ/ˆ hFˆubh)”}”(hŒ	econtools”h#Œ0.3.2”h%Œpy_0”h'K hhh(h)hŒecontools-0.3.2-py_0.tar.bz2”h+Œ ecf23d95729f2fe22bd8a0beb052b377”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/econtools-0.3.2-py_0.tar.bz2”h0Œ@f396b4d28216c478c8ac7b2d8cb8cbc5b18a5779a1fdef7813f787e04dff2ff3”h2NhNh3(Œnumpy >=1.9.2”Œpandas >=0.16.0”Œpython >=3.6”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×š@N™šhEJU hFˆubh)”}”(hŒr-shinyjqui”h#Œ0.4.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-shinyjqui-0.4.1-r40hc72bb7e_0.tar.bz2”h+Œ 533a04f4927384931437eadce743d3aa”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinyjqui-0.4.1-r40hc72bb7e_0.tar.bz2”h0Œ@72d3f594ee4afbf634353d28f66804713d0c4d910ccf9643fe787e5e7ef71bd0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-shiny >=0.14.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ~ìØXQìhEJŽ
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oceancolor”h#Œ0.0.20”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&oceancolor-0.0.20-pyhd8ed1ab_0.tar.bz2”h+Œ 768aed98391ae191a58c01d019b6da05”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/oceancolor-0.0.20-pyhd8ed1ab_0.tar.bz2”h0Œ@5db93b93a04427c9a25f69888731c8e6fda143bac25ff98293190c8401e85129”h2NhNh3(Œaiohttp >=3.8.1”Œclick >=8.0”Œfsspec >=2022.1”Œnetcdf4 >=1.5.6”Œnumpy >=1.21”Œpandas >=1.3”Œpyproj >=3.0”Œpython >=3.8”Œrequests >=2.27”Œxarray >=0.19”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ´¥ê°!hEMþghFˆubh)”}”(hŒ	r-threejs”h#Œ0.3.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-threejs-0.3.3-r36h6115d3f_0.tar.bz2”h+Œ 2195a5e416360a7cb11e82bc6fea9625”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-threejs-0.3.3-r36h6115d3f_0.tar.bz2”h0Œ@fc98faa80b04d9e4427eda5681dd6d215dd51545d60251c7def21c9715018f4b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-base64enc”Œr-crosstalk”Œr-htmlwidgets >=0.3.2”Œr-igraph >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×‰Ôª8´9hEJ^O hFˆubh)”}”(hŒlibsoup-cos7-ppc64le”h#Œ2.62.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1libsoup-cos7-ppc64le-2.62.2-h9b0a68f_1105.tar.bz2”h+Œ 32bd08ddc7d364e4849a81372507a3f0”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-ppc64le-2.62.2-h9b0a68f_1105.tar.bz2”h0Œ@a4648c37a978a286a5cf55c1f0a3ac41d8fcfa365cd93523881b4f2db1aa7c86”h2NhNh3Œ,glib-networking-cos7-ppc64le >=2.38.0 *_1105”Œ"glib2-cos7-ppc64le >=2.38.0 *_1105”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@,2=qhEJr hFˆubh)”}”(hŒ
r-settings”h#Œ0.2.7”h%Œr36h785f33e_0”h'K hhh(h)hŒ&r-settings-0.2.7-r36h785f33e_0.tar.bz2”h+Œ 82be88761bd1deb21d3127d7682b0d2f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-settings-0.2.7-r36h785f33e_0.tar.bz2”h0Œ@4c5c5a49e47ed62caf698b5b47ea617a1e0a2efdfab974482e975c016e477f95”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL”hDGAØ%]T(öhEJ†( hFˆubh)”}”(hŒmmvec”h#Œ1.0.5”h%Œpy_0”h'K hhh(h)hŒmmvec-1.0.5-py_0.tar.bz2”h+Œ 2f03d156e36d0678d42ac0fbd9c4a8e5”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/mmvec-1.0.5-py_0.tar.bz2”h0Œ@cd74aae3c75748bd06275a6aac7c4dd1fa019e0225412eb14a7252cbb2bdae19”h2NhNh3(Œbiom-format”Œclick”Œh5py”Œmock”Œnumpy >1.13”Œpandas <1.0”Œ
python >=3”Œscikit-bio >0.5.4”Œscikit-learn”Œseaborn”Œtensorflow >=1.15,<2”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÀÏNÈ´hEM?nhFˆubh)”}”(hŒchkconfig-cos7-aarch64”h#Œ1.7.6”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2chkconfig-cos7-aarch64-1.7.6-h9b0a68f_1105.tar.bz2”h+Œ a3a6c321765b6de72604b2b43799b66f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/chkconfig-cos7-aarch64-1.7.6-h9b0a68f_1105.tar.bz2”h0Œ@23639b8608d36de6317136c91697d915989dc8cd79f8e2d20937b92b0c86f765”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@ˆLýôhEJ0¡ hFˆubh)”}”(hŒnapari-psf-analysis”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.napari-psf-analysis-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ ef1835fe0badafffbf0cea410845d11b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/napari-psf-analysis-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@93a02a56772c2dfcb37ec3dde933ec9e3d44272b6500749dc36a86b86caf9368”h2NhNh3(Œmatplotlib-base”Œnapari”Œnumpy”Œpandas”Œpython >=3.7”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ±¨bÌí‘hEM…ThFˆubh)”}”(hŒ	r-statnet”h#Œ2019.6”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-statnet-2019.6-r36h6115d3f_1.tar.bz2”h+Œ 8243aebab0428bbf130986910881d321”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-statnet-2019.6-r36h6115d3f_1.tar.bz2”h0Œ@68a32551771efa951d714724017dd5c0836fe68ee19a3a4d2363fe2dd6eefcda”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ergm >=3.10.4”Œr-ergm.count >=3.3”Œr-network >=1.15”Œr-networkdynamic >=0.10”Œr-sna >=2.4”Œr-statnet.common >=4.2”Œr-tergm >=3.6.1”Œr-tsna >=0.3”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¡^?}hEMªhFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy39h1234567_4”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py39h1234567_4.tar.bz2”h+Œ 0a46c04026f474cda5814353364079ea”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py39h1234567_4.tar.bz2”h0Œ@36ecb7ba267c6a8c2b4172f7dc66fd8abf1a97a3d4210e2002137ae03bb36b33”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØŽ"kdZhEJj hFˆubh)”}”(hŒdjango-robots”h#Œ5.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ&django-robots-5.0-pyhd8ed1ab_1.tar.bz2”h+Œ c3b74ec587b71c47759e10f798bc18bf”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/django-robots-5.0-pyhd8ed1ab_1.tar.bz2”h0Œ@319db6032fa093a276d86d59293e15dde6f6c3a473e8de3e5b22c1249ac5df9c”h2NhNh3Œdjango >=1.11,<3.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ}CT1hEM\yhFˆubh)”}”(hŒdask-snowflake”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)dask-snowflake-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 03b330966342c2f59ed8c92494273338”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/dask-snowflake-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8e6458a50c5e27749b012e18fb2501f92f6aaddaaefeb7c99325b8c3092d02ef”h2NhNh3(Œdask >=2021.05.0”Œpandas”Œpyarrow”Œpython >=3.7”Œ"snowflake-connector-python >=2.6.0”Œsnowflake-sqlalchemy”t”h9h?h@ŒBSD-3-Clause”hBŒMIT”hDGAØÛ;$ÝhEM1hFˆubh)”}”(hŒr-climate4r.udg”h#Œ0.2.4”h%Œr41ha770c72_1”h'Khhh(h)hŒ+r-climate4r.udg-0.2.4-r41ha770c72_1.tar.bz2”h+Œ 8497164779773df9cfa33cb1ed6a3210”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-climate4r.udg-0.2.4-r41ha770c72_1.tar.bz2”h0Œ@f8b969e6fa01d85607a5c05fe7508248649f7b2fc599d7455e2dcd5c623145f0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-loader.java”Œr-rcurl”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØªÍÓxÕhEJ_N hFˆubh)”}”(hŒr-cbioportalr”h#Œ1.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-cbioportalr-1.0.1-r40hc72bb7e_0.tar.bz2”h+Œ 3a798fc4bbff8447e78182e42c55974c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-cbioportalr-1.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@7e93d58fa781f601661a62bad6b1ca72818bcd3f1862585b35ceffd1bb7e7b9a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cli >=3.3.0”Œr-dplyr >=1.0.9”Œr-glue >=1.6.2”Œr-httr >=1.4.3”Œr-jsonlite >=1.8.0”Œr-magrittr >=2.0.3”Œr-purrr >=0.3.4”Œr-rlang >=1.0.3”Œr-stringr >=1.4.0”Œr-tibble >=3.1.7”Œr-tidyr >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÃ-œ,í‘hEJ¬ hFˆubh)”}”(hŒsgp4”h#Œ2.10”h%Œpyh6957fcd_0”h'K hhh(h)hŒsgp4-2.10-pyh6957fcd_0.tar.bz2”h+Œ 1b489d19f01cdfb2e0250aaced3e2b5f”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/sgp4-2.10-pyh6957fcd_0.tar.bz2”h0Œ@59a2e0171263be75bac41c53e1d264d0922c62fa340c6052927933a233f17d4a”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×²IHr°hEJq  hFˆubh)”}”(hŒr-dyndimred”h#Œ1.0.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-dyndimred-1.0.4-r41hc72bb7e_1.tar.bz2”h+Œ 5fc70c74e2d1e006e11e5bec06749892”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dyndimred-1.0.4-r41hc72bb7e_1.tar.bz2”h0Œ@cac657a6948d4ce96d198be9c7c7d372499d27a46eef39e10814d5f3f09db5b1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dynutils >=1.0.5”Œr-irlba”Œr-lmds”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ…}{dZhEJ7ˆ hFˆubh)”}”(hŒr-autoplotly”h#Œ0.1.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-autoplotly-0.1.4-r40hc72bb7e_0.tar.bz2”h+Œ 264d7fa528f015c56b40a7dd10d1c2f1”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-autoplotly-0.1.4-r40hc72bb7e_0.tar.bz2”h0Œ@5268432be39f922ff06ca56f3d642d86bc9c56eb90f2a346484b4330749baeb6”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggfortify”Œ	r-ggplot2”Œr-plotly”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØý·m²-hEM»–hFˆubh)”}”(hŒr-leaflet.minicharts”h#Œ0.6.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ0r-leaflet.minicharts-0.6.2-r36hc72bb7e_0.tar.bz2”h+Œ c77e18761e5e71dfed82077c0275e6d9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-leaflet.minicharts-0.6.2-r36hc72bb7e_0.tar.bz2”h0Œ@3a1a940437be5768439905e04a108cd4a5dc1db239a5772f5676c0a9f9a31ca6”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-htmltools”Œr-leaflet >=1.1.0”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ&—hEJw hFˆubh)”}”(hŒr-wmtsa”h#Œ2.0_3”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ&r-wmtsa-2.0_3-r41hc72bb7e_1002.tar.bz2”h+Œ b3ba8aef426552b3edd84981ed61a5e3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wmtsa-2.0_3-r41hc72bb7e_1002.tar.bz2”h0Œ@7714c21f9b62c4daf549114744613551886f2fc0e2cfe519fe38d5c32a00c445”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ifultools >=2.0_0”Œr-mass”Œr-splus2r >=1.2_0”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ*âäD9XhEJç hFˆubh)”}”(hŒwxyz_json_e”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&wxyz_json_e-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 163738bbcb13c9398a04f0cf146d57d6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/wxyz_json_e-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e845f14b9dde7fafdd98a153a2d2825d891e52b637c3600ec5668fc1c57158d3”h2NhNh3Œjson-e >=4.4,<5”Œpython >=3.6”Œwxyz_core >=0.5,<0.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ.ž§¸  hEJ»n hFˆubh)”}”(hŒsk-video”h#Œ1.1.10”h%Œpy_1”h'Khhh(h)hŒsk-video-1.1.10-py_1.tar.bz2”h+Œ a68e33b0486d5a0385fcc1698e80dd39”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sk-video-1.1.10-py_1.tar.bz2”h0Œ@932d0b803ccad0b82d408380db4dd3af09dd0173234bdccdf44a151ead423f69”h2NhNh3Œnumpy”Œpython”Œscipy”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEJMi" hFˆubh)”}”(hŒ	r-opennlp”h#Œ0.2_7”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-opennlp-0.2_7-r41hc72bb7e_1.tar.bz2”h+Œ 2a99b0e3debe8530ba0c753b3c13c2f6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-opennlp-0.2_7-r41hc72bb7e_1.tar.bz2”h0Œ@742548c9c2a2bfc2cbe157e66d8a393f1d0f213735c75d5a5c21b9ad7e459071”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-nlp >=0.1_6.3”Œr-opennlpdata >=1.5.3_1”Œr-rjava >=0.6_3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ”™´ZhEJ0 hFˆubh)”}”(hŒr-rgexf”h#Œ0.16.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-rgexf-0.16.2-r41hc72bb7e_0.tar.bz2”h+Œ 5a48aa0544992ba65a53edefdb64fe89”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rgexf-0.16.2-r41hc72bb7e_0.tar.bz2”h0Œ@50bceaf5d349ae025a356136ca3b3c325ed805a876bcca5209179cf967a86379”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-igraph”Œr-servr”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØEv&ƒçmhEJQÑ hFˆubh)”}”(hŒ
effectsize”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%effectsize-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4a5fefc59c4d78039736e63ec32e8b72”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/effectsize-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e2acdd9483a3f23be900b563dbea87b3ad55352af0d767fc632019e4ef55bbc8”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.7”Œscipy”Œstatsmodels”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÁ"X*JhEMo;hFˆubh)”}”(hŒppci”h#Œ0.5.8”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒppci-0.5.8-pyhd8ed1ab_3.tar.bz2”h+Œ 49f568c7da9ac893b8db5da590401efb”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ppci-0.5.8-pyhd8ed1ab_3.tar.bz2”h0Œ@d4a072bf923af84eb3d88999c4fea9cf1506134d78a7c86e9770822fa6b5732a”h2NhNh3Œcolorama”Œpython >=3.6”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØbÈ4záhEJ‹ hFˆubh)”}”(hŒr-dbplot”h#Œ0.3.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-dbplot-0.3.3-r40hc72bb7e_1.tar.bz2”h+Œ 768477e601b53f937e1c6e96c1abcd15”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dbplot-0.3.3-r40hc72bb7e_1.tar.bz2”h0Œ@1c2d496e350b349963401683b9390152f836520517b6b94f66db4018a4d5cb2f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.7”Œ	r-ggplot2”Œr-purrr”Œr-rlang >=0.4”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+Åé
MÓhEJš hFˆubh)”}”(hŒ
tensorpack”h#Œ0.11”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$tensorpack-0.11-pyhd8ed1ab_1.tar.bz2”h+Œ 522d8cd86ed539b9f00d904c772605c4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/tensorpack-0.11-pyhd8ed1ab_1.tar.bz2”h0Œ@135a0c9428f3cc658fd08005744ba0600d281432e8478abcef96961d55ab23ba”h2NhNh3(Œmsgpack-numpy >=0.4.4.2”Œmsgpack-python >=0.5.2”Œnumpy >=1.14”Œ
psutil >=5”Œpython >=3.6”Œ
pyzmq >=16”Œsix”Œtabulate >=0.7.7”Œtermcolor >=1.1”Œtqdm >4.29.0”t”h9h?h@Œ
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r-reactlog”h#Œ1.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-reactlog-1.1.1-r40hc72bb7e_0.tar.bz2”h+Œ c68067f2dd0a3f404792484290c4cc1a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-reactlog-1.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@126bbdc8d2382ee21bceebd6693cd9563a2af317c594db27d5f81b3b3f354667”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-jsonlite >=0.9.16”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÌ‡Ö
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r-jsonlite”Œr-mass”Œr-raster”Œr-rgbif”Œr-rgdal”Œr-rgeos”Œr-shiny”Œr-sp”Œ
r-spatstat”Œr-spocc”Œr-spthin”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ1AtõãThEJ„F hFˆubh)”}”(hŒr-gprofiler”h#Œ0.7.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ'r-gprofiler-0.7.0-r41hc72bb7e_2.tar.bz2”h+Œ dd8f4f6b475f3fe8ef64cb93feac2990”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gprofiler-0.7.0-r41hc72bb7e_2.tar.bz2”h0Œ@ba8b5bfe459c85c5494a72a76f6101e8d6be4ed068933406e0d2926c685ffa0b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œr-rcurl”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒjQç hEMFéhFˆubh)”}”(hŒfreetype-cos7-x86_64”h#Œ2.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ.freetype-cos7-x86_64-2.8-ha826a6f_1103.tar.bz2”h+Œ ada6e13b726d71f36e367253efe2ae79”h.Œ\https://conda.anaconda.org/conda-forge/noarch/freetype-cos7-x86_64-2.8-ha826a6f_1103.tar.bz2”h0Œ@ea8d08c245f3be16bf2468a50a253ce5d858e7074347a7d9f00f26e632b15515”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×Æ/kv¸RhEJ$ hFˆubh)”}”(hŒr-snakecase”h#Œ0.11.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ(r-snakecase-0.11.0-r41hc72bb7e_3.tar.bz2”h+Œ 8ddb82ca0b021f48fb713053e54cf90c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-snakecase-0.11.0-r41hc72bb7e_3.tar.bz2”h0Œ@56b7b407be40254a71e594abb774b09f11c9b7108dee7e504c1fb04813a261b3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-stringi”Œ	r-stringr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐÑÙhEJÎÅ hFˆubh)”}”(hŒ	r-effsize”h#Œ0.8.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-effsize-0.8.1-r41hc72bb7e_0.tar.bz2”h+Œ 9eac8d2e55d04c22771b08c03dc05235”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-effsize-0.8.1-r41hc72bb7e_0.tar.bz2”h0Œ@d283b836e9a66fcc10139e16d5a0218fd01dd95016dbedae0adf54852c760197”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ++ûˆbhEJ¥. hFˆubh)”}”(hŒlibxml2-devel-cos7-aarch64”h#Œ2.9.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libxml2-devel-cos7-aarch64-2.9.1-ha826a6f_1103.tar.bz2”h+Œ b1df47c110e26542544fda7f7070d664”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-aarch64-2.9.1-ha826a6f_1103.tar.bz2”h0Œ@8bddd96074ff643cbe6a892f58cbf69bee2c75d3af8946b8d171a668d66d82b9”h2NhNh3Œ#libxml2-cos7-aarch64 ==2.9.1 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0Ô!%hEJ¥9 hFˆubh)”}”(hŒr-ineq”h#Œ0.2_13”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-ineq-0.2_13-r41hc72bb7e_1003.tar.bz2”h+Œ 36120286f4331f5451d65a677172a631”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ineq-0.2_13-r41hc72bb7e_1003.tar.bz2”h0Œ@f5c669270fac3e560e904ac49fea3f7264f71e6ed77bd7eaf305c338947e0a95”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÒaR=qhEJE¢ hFˆubh)”}”(hŒborsh-construct”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*borsh-construct-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ f1ccc10b4b5b8501a18ccc68b6b80f24”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/borsh-construct-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d6562f4d053174dbe150791a6ec91c95de35be054e4a5ae082d5a07b2ba9d690”h2NhNh3Œconstruct-typing >=0.5.2,<0.6.0”Œpython >=3.6,<4.0”Œsumtypes >=0.1a5,<0.2”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ`	Â‰%hEMž&hFˆubh)”}”(hŒr-rapiclient”h#Œ0.1.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-rapiclient-0.1.3-r40hc72bb7e_1.tar.bz2”h+Œ be6f2af0bf3d3872d958086ff4674c1c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rapiclient-0.1.3-r40hc72bb7e_1.tar.bz2”h0Œ@4d75e95e551eaf2370950aa3e5aa14f2a6bc10505bcba461aac8643ba2d214e0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-httr”Œ
r-jsonlite”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+%ë$1hEJô? hFˆubh)”}”(hŒr-aggregation”h#Œ1.0.1”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ-r-aggregation-1.0.1-r351h6115d3f_1000.tar.bz2”h+Œ 34b8784a4fa74b7401423b02f4246db9”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-aggregation-1.0.1-r351h6115d3f_1000.tar.bz2”h0Œ@2af24299a69e3e520631e125024bb990dc8710736cc5078669df9b467feba969”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖþÞ„›¦hEMÐwhFˆubh)”}”(hŒlibxdamage-cos7-x86_64”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ2libxdamage-cos7-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h+Œ ad4ba21051c14402fd5639c0feadce0d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@f8e958e9e1b1c1c92229384fa9ac061a852f8e0703046319974af26125b3f6d4”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å*ÿð“uhEMAhFˆubh)”}”(hŒr-matrix.utils”h#Œ0.9.8”h%Œr40h6115d3f_1”h'Khhh(h)hŒ*r-matrix.utils-0.9.8-r40h6115d3f_1.tar.bz2”h+Œ 6a37643274554ed248f3a135f05d804b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-matrix.utils-0.9.8-r40h6115d3f_1.tar.bz2”h0Œ@9f324a7f6317136d536cb17a55a3f69d6cba7adce2bd5e1166d7437c4e339a2b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-grr”Œr-matrix”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬­âŽ§ðhEJd hFˆubh)”}”(hŒlibx11-devel-cos6-x86_64”h#Œ1.6.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libx11-devel-cos6-x86_64-1.6.4-h9b0a68f_1105.tar.bz2”h+Œ e1034c789e060796760cc556e16bd8df”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos6-x86_64-1.6.4-h9b0a68f_1105.tar.bz2”h0Œ@ab3d31a593c7563bcb5ac18ed3280767515c99addb551e72a37f3d40a0c24acb”h2NhNh3Œ!libx11-cos6-x86_64 ==1.6.4 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\TÞE¢hEJÎ; hFˆubh)”}”(hŒlibxcb-devel-cos7-ppc64le”h#Œ1.13”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libxcb-devel-cos7-ppc64le-1.13-h9d98e8f_104.tar.bz2”h+Œ 45bd5c538f1026c2638cb4f359fd6aaa”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcb-devel-cos7-ppc64le-1.13-h9d98e8f_104.tar.bz2”h0Œ@c083b09f5e3de075b22d2285b3aeb8b8cb5668b74bcd2e34a7d3f99ca40efde3”h2NhNh3Œ libxcb-cos7-ppc64le ==1.13 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ó•áhshEJÉ! hFˆubh)”}”(hŒlibxext-devel-cos7-aarch64”h#Œ1.3.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libxext-devel-cos7-aarch64-1.3.3-h9b0a68f_1105.tar.bz2”h+Œ 79f830cba8e890a698037ed65cee9810”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-aarch64-1.3.3-h9b0a68f_1105.tar.bz2”h0Œ@39507a47cdffaaa5e69c2724e368540603fe655ec0b5af1c9f91d9e86f7135d2”h2NhNh3Œ#libxext-cos7-aarch64 ==1.3.3 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@“š^vÉhEJ hFˆubh)”}”(hŒr-superheat”h#Œ0.1.0”h%Œr36_1002”h'Mêhhh(h)hŒ"r-superheat-0.1.0-r36_1002.tar.bz2”h+Œ d76a9535b38c7aea01cfd12cabf5a38b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-superheat-0.1.0-r36_1002.tar.bz2”h0Œ@481192b0ec0e3557828bbf44c0d93fb3c18329cd1305c68ccb6b842af0244c2e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr >=0.4.3”Œ
r-ggdendro”Œr-ggplot2 >=2.0.0”Œr-gtable >=0.1.2”Œr-magrittr >=1.5”Œr-plyr >=1.8.3”Œr-scales >=0.3.0”t”h9hºh@ŒCC0-1.0”hBŒOTHER”hDGA×¬‘éë…hEJïñ hFˆubh)”}”(hŒchkconfig-cos7-x86_64”h#Œ1.7.6”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1chkconfig-cos7-x86_64-1.7.6-h9b0a68f_1105.tar.bz2”h+Œ 3c8f14fae8f47ccace62a97178aa0060”h.Œ_https://conda.anaconda.org/conda-forge/noarch/chkconfig-cos7-x86_64-1.7.6-h9b0a68f_1105.tar.bz2”h0Œ@c0bbf82a6dcdd3a9d7b65b39e6e18c8dab310eeb7b8e66dd3f41ec91c1c8dd5b”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@h’L9XhEJi hFˆubh)”}”(hŒgtk2-devel-cos7-ppc64le”h#Œ2.24.31”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5gtk2-devel-cos7-ppc64le-2.24.31-h9b0a68f_1105.tar.bz2”h+Œ aff5525f0791b27c20a649556cc643af”h.Œchttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos7-ppc64le-2.24.31-h9b0a68f_1105.tar.bz2”h0Œ@b31a32e7e4fad9e2af683905aed2d3988cbfe70436869a3339bf5c6fbe12e490”h2NhNh3(Œ&atk-devel-cos7-ppc64le >=1.29.4 *_1105”Œ'cairo-devel-cos7-ppc64le >=1.6.0 *_1105”Œ(glib2-devel-cos7-ppc64le >=2.28.0 *_1105”Œ"gtk2-cos7-ppc64le ==2.24.31 *_1105”Œ(pango-devel-cos7-ppc64le >=1.20.0 *_1105”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@’¥NE¢hEJ-W6 hFˆubh)”}”(hŒ
r-gwidgets”h#Œ0.0_54.2”h%Œr40ha770c72_1”h'Khhh(h)hŒ)r-gwidgets-0.0_54.2-r40ha770c72_1.tar.bz2”h+Œ 4e4a5b7d173a4da57e0ba95366164023”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets-0.0_54.2-r40ha770c72_1.tar.bz2”h0Œ@9b504149aee1f0eefd9deec0987574d47f6d433125d1d010e9dc6a7cc3c85576”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*ö+V{hEJ7Å hFˆubh)”}”(hŒdask-gateway”h#Œ2022.4.0”h%Œpyh694c41f_0”h'K hhh(h)hŒ*dask-gateway-2022.4.0-pyh694c41f_0.tar.bz2”h+Œ 9c8d2783d93dde1847842c9fb4aefd85”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/dask-gateway-2022.4.0-pyh694c41f_0.tar.bz2”h0Œ@e50ad659f607dc9af6b39bf4d823df02ab21d85ae942ac0b1ce1d3c95cd8c075”h2NhNh3(Œaiohttp”Œclick”Œdask >=2.2.0”Œdistributed >=2021.01.1”Œpython >=3.8”Œpyyaml”Œtornado”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœû<;33hEM^chFˆubh)”}”(hŒr-ineq”h#Œ0.2_13”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ&r-ineq-0.2_13-r41hc72bb7e_1002.tar.bz2”h+Œ 986faec28fcaf9fd663db45a39e8fbe6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ineq-0.2_13-r41hc72bb7e_1002.tar.bz2”h0Œ@c871fb272d4448c6914b85950c199899d187fb7280e9458656cb3c4e2e7692a4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ+#6aÛ#hEJÑž hFˆubh)”}”(hŒjobs_done10”h#Œ1.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'jobs_done10-1.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ b7d63b85a8bfac4ead07cfea711c6a8b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/jobs_done10-1.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9e816d3a5cb298d4eddac9e640843c4bcb8a5ac782556c860437e294a66b2fd1”h2NhNh3(Œclick”Œflask”Œgunicorn”Œpygments”Œpython >=3.10”Œpython-dotenv”Œpython-jenkins”Œpyyaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸ÌŒ÷ÏhEM2hFˆubh)”}”(hŒ	ryvencore”h#Œ0.3.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ryvencore-0.3.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 59f53770f0c57874d87d825db45068c4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ryvencore-0.3.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@03527849153b36880f77cee5f842a336a3f9314908f259d7b238eedb36806cc0”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-2.1-only”hDGAØ|>°QìhEMÿƒhFˆubh)”}”(hŒ"xorg-x11-server-common-cos6-x86_64”h#Œ1.17.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ?xorg-x11-server-common-cos6-x86_64-1.17.4-hdf0574f_1102.tar.bz2”h+Œ 5713121938189445dac35f957386a2c5”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos6-x86_64-1.17.4-hdf0574f_1102.tar.bz2”h0Œ@c019240c2027543769aaa4d9468f86f222400687ac914622810b205ae9adb935”h2NhNh3Œ"pixman-cos6-x86_64 >=0.30.0 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;®ÇPhEMéhFˆubh)”}”(hŒ
openglider”h#Œ0.0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'openglider-0.0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ fd69548716e93e04b469c98d043e4f22”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/openglider-0.0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f5c34bc19b728d31ccc82a394e9cb1e6b9cbd89440fc8f1128cf243da8c2ea61”h2NhNh3(Œezdxf”Œlxml”Œmatplotlib-base”Œmeshpy”Œnumpy”Œparabem”Œpyexcel-ezodf”Œpyexcel-ods3”Œpython >=3.8”Œsvgwrite”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØaq¥ãThEJ„œ hFˆubh)”}”(hŒr-coenocliner”h#Œ0.2_3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-coenocliner-0.2_3-r42hc72bb7e_1.tar.bz2”h+Œ 0052830ac28780bf8baf450908e5289f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-coenocliner-0.2_3-r42hc72bb7e_1.tar.bz2”h0Œ@a1ee7f34a6917c5ba0d90990610fd115a40e1b3c348e0e2c271176026cbb1df4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ”jJhEJÎ` hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpyhd8ed1ab_14”h'Khhh(h)hŒ*fenics-fiat-2019.1.0-pyhd8ed1ab_14.tar.bz2”h+Œ a9bd2c5357f860dcddda903127ee57bd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-pyhd8ed1ab_14.tar.bz2”h0Œ@1faff588268704bce50ebe2aa5d28528b95b011e985d645324db21a0582a040d”h2NhNh3(Œnumpy”Œpython >=3.5”Œ
setuptools”Œ	sympy >=1”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×÷•ÀbhEJM2 hFˆubh)”}”(hŒrefactor”h#Œ0.6.3”•      h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#refactor-0.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ 49533cfb0c15b7712453765283db75ca”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/refactor-0.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@8f2eb8a2799129527f4b272344a17b406078e07d26e39e07b3d286184c8acb76”h2NhNh3Œpython >=3.9”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ×)qXhEM&hhFˆubh)”}”(hŒr-integr”h#Œ1.0.0”h%Œr36h142f84f_0”h'K hhh(h)hŒ$r-integr-1.0.0-r36h142f84f_0.tar.bz2”h+Œ f317ed13ae8820151b05ccd02adb7a9c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-integr-1.0.0-r36h142f84f_0.tar.bz2”h0Œ@43097dd5d30cc8ecfd0aa7d6a01a4f9b37913b35c6d32c725a7fa78af602352a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-diagrammer >=1.0.0”Œr-diagrammersvg >=0.1”Œr-dplyr >=0.7.6”Œr-gtools >=3.5.0”Œr-rsvg >=1.3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×å*HbNhEJ¼[	 hFˆubh)”}”(hŒpango-cos6-x86_64”h#Œ1.28.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ.pango-cos6-x86_64-1.28.1-ha826a6f_1103.tar.bz2”h+Œ 80d7fda86a5a1de5da2be5a1860f6c8a”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pango-cos6-x86_64-1.28.1-ha826a6f_1103.tar.bz2”h0Œ@a6c421ad42a23ffe6b18c524cfc3ea195b521170b8b4832c028b5b55aac742e8”h2NhNh3(Œ cairo-cos6-x86_64 >=1.7.6 *_1103”Œ#freetype-cos6-x86_64 >=2.1.3 *_1103”Œ!glib2-cos6-x86_64 >=2.17.3 *_1103”Œ"libthai-cos6-x86_64 >=0.1.9 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1X  hEJ>“ hFˆubh)”}”(hŒexpat-cos6-x86_64”h#Œ2.0.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,expat-cos6-x86_64-2.0.1-h9d98e8f_104.tar.bz2”h+Œ d7a97261a393fcbb91fecf8addbb8a15”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/expat-cos6-x86_64-2.0.1-h9d98e8f_104.tar.bz2”h0Œ@6c80423477f484a4597bf618a922ff0992bddb25d6309e1f9c6b23387981739b”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy0ºñªhEJeM hFˆubh)”}”(hŒlibtiff-cos7-ppc64le”h#Œ4.0.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/libtiff-cos7-ppc64le-4.0.3-h9b0a68f_105.tar.bz2”h+Œ b614b7ca5a3b3c241b4af7f557276e0e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-ppc64le-4.0.3-h9b0a68f_105.tar.bz2”h0Œ@0f1cc21c3733f4d547042e99142dd384faf59ddede869b542c40860e7c3cce98”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@Œlibtiff”hBŒOther”hDGAØ@‡ÿPhEJ¢æ hFˆubh)”}”(hŒnomkl”h#Œ1.0”h%Œ
h5ca1d4c_0”h'K hhh(h)hŒnomkl-1.0-h5ca1d4c_0.tar.bz2”h+Œ 9a66894dfd07c4510beb6b3f9672ccc0”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/nomkl-1.0-h5ca1d4c_0.tar.bz2”h0Œ@d38542a151a90417065c1a234866f97fd1ea82a81de75ecb725955ab78f88b4b”h2NhNh3)h6Œ	mkl <0.a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×•ÐbáHhEMhFˆubh)”}”(hŒecdsa”h#Œ0.18.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!ecdsa-0.18.0-pyhd8ed1ab_1.tar.bz2”h+Œ 566165664cc0964a7202dc239af6619d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ecdsa-0.18.0-pyhd8ed1ab_1.tar.bz2”h0Œ@7770998e7b1ad6b80d1c3ffa71ae3f8812260676f0268d339abe32879115bc0c”h2NhNh3Œgmpy2”Œpython >=3.3”Œsix >=1.9.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ²Ÿkƒ¥ãhEJéÝ hFˆubh)”}”(hŒr-harmonicmeanp”h#Œ3.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-harmonicmeanp-3.0-r42hc72bb7e_1.tar.bz2”h+Œ 54ef4fd5019836c05785050bf70959ac”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-harmonicmeanp-3.0-r42hc72bb7e_1.tar.bz2”h0Œ@9bcabaea00f7410c577d074cae7161c48965ac09415debfc5fd0579b8b32ff8f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-fmstable”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒiÞ  hEJw&	 hFˆubh)”}”(hŒprogress_reporter”h#Œ2.0”h%Œpy_0”h'K hhh(h)hŒ"progress_reporter-2.0-py_0.tar.bz2”h+Œ afb1a1a7481bde9c5447c51b0b0f799a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/progress_reporter-2.0-py_0.tar.bz2”h0Œ@24c7fa2f9feb7f16605b69f10aa9de557253105f5090474a14673d53230de22a”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hEM"„hFˆubh)”}”(hŒr-cdft”h#Œ1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-cdft-1.2-r41hc72bb7e_0.tar.bz2”h+Œ dcf49191c468c473941cf4e76641743b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cdft-1.2-r41hc72bb7e_0.tar.bz2”h0Œ@ad196a3e1631b17267ac24af9477be2ac8bdacb4b01344fe2b5794dbd50c1cd0”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+1‚:ÀƒhEMŒšhFˆubh)”}”(hŒ
r-shinyace”h#Œ0.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-shinyace-0.4.2-r42hc72bb7e_1.tar.bz2”h+Œ 5ff58a7a7c776d17b5874d6e0a9ac532”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-shinyace-0.4.2-r42hc72bb7e_1.tar.bz2”h0Œ@b62ec0446674808e027ddd816fa063c4f61a733897420e83f0df1b7384d4045d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-shiny >=1.0.5”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐð˜#¶FhEJkL hFˆubh)”}”(hŒlibnl-cos6-x86_64”h#Œ1.1.4”h%j3G h'K hhh(h)hŒ!libnl-cos6-x86_64-1.1.4-0.tar.bz2”h+Œ d9edca5246354ad1699d2551adc33436”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/libnl-cos6-x86_64-1.1.4-0.tar.bz2”h0Œ@3d102d971ed1bf62e93070d32ffc0a225de58f992f4d2000fe268971eb8b5f77”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×DQÅÎÙhEJ’ hFˆubh)”}”(hŒ!xorg-x11-server-xvfb-cos7-ppc64le”h#Œ1.20.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ>xorg-x11-server-xvfb-cos7-ppc64le-1.20.4-hdf0574f_1102.tar.bz2”h+Œ d5183d5ca847cee8305aa38ccff2990a”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos7-ppc64le-1.20.4-hdf0574f_1102.tar.bz2”h0Œ@4181eb73602aa7b00f796a4a10113b534ffe64058df626961d42bf928596291c”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”Œ3xorg-x11-server-common-cos7-ppc64le >=1.20.4 *_1102”†”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGA×Å;½K×
hEJ×„ hFˆubh)”}”(hŒfontconfig-cos7-ppc64le”h#Œ2.13.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4fontconfig-cos7-ppc64le-2.13.0-h9d98e8f_1104.tar.bz2”h+Œ 1c85d41ac5167e7ab550ee944119ac01”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-cos7-ppc64le-2.13.0-h9d98e8f_1104.tar.bz2”h0Œ@194604195b0e78cde116ee5d63f2e0eba61d5979af6537e54080a8f60a7bdb36”h2NhNh3Œ"freetype-cos7-ppc64le >=2.8 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×É|9G®hEJ­ï hFˆubh)”}”(hŒr-collapsibletree”h#Œ0.1.7”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ0r-collapsibletree-0.1.7-r42hc72bb7e_1003.tar.bz2”h+Œ 675974896a06b0ba78c8bdadc3bd8fe0”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-collapsibletree-0.1.7-r42hc72bb7e_1003.tar.bz2”h0Œ@475a1d447eedac1cd6f35e6765851602a53af04f622795512c843929b7b53b7f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.tree”Œr-htmlwidgets”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ“ô QìhEJŠU hFˆubh)”}”(hŒr-shades”h#Œ1.4.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-shades-1.4.0-r36h6115d3f_0.tar.bz2”h+Œ 0223af8902706404794c73f4a6cb132a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-shades-1.4.0-r36h6115d3f_0.tar.bz2”h0Œ@b7dc37cdc97862bdb9f9c2f0303972b78c76799e82cf1b9b94ccc8750c3e26ad”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×]ˆ–FÈ´hEJzt hFˆubh)”}”(hŒplurmy”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!plurmy-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 39d02c82ef9f2e9172154913648489f5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/plurmy-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@acb988508bd261e2abc64c031f3c0c9b7406d611f3c275a988b9014d647d4cb5”h2NhNh3Œhiredis”Œpython >=3.7”Œredis-py”‡”h9h?h@ŒCC0-1.0”hDGAØ¯{áí¡ËhEM@hFˆubh)”}”(hŒshade”h#Œ1.33.0”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ!shade-1.33.0-pyhd8ed1ab_2.tar.bz2”h+Œ 7155fe33df8bc27d6748f8ae0076d0b7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/shade-1.33.0-pyhd8ed1ab_2.tar.bz2”h0Œ@9af35d36ced1739a416d34eabdbc6ba7e3ced2bab8cbbc5394b18319d5c44b70”h2NhNh3(Œ	decorator”Œdogpile.cache”Œjmespath”Œ	jsonpatch”Œkeystoneauth1”Œmunch”Œ	netifaces”Œopenstacksdk >=0.15.0”Œos-client-config >=1.28.0”Œpbr !=2.1.0,>=2.0.0”Œpython >=3.6”Œpython-ironicclient”Œrequestsexceptions”Œ
simplejson”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØeªÅ“¥ãhEJn‚ hFˆubh)”}”(hŒlibx11-common-cos7-x86_64”h#Œ1.6.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libx11-common-cos7-x86_64-1.6.7-hdf0574f_1102.tar.bz2”h+Œ 28cebeeb22e546c62037d771aa323e49”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-x86_64-1.6.7-hdf0574f_1102.tar.bz2”h0Œ@a42d71b445b8019f900aa9b51bb2a7938492b2267d41e677a02fdae4d6ef996d”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+@¢Ÿ¾hEJ¦6 hFˆubh)”}”(hŒobsplus”h#Œ0.2.4”h%Œpyh191b570_0”h'K hhh(h)hŒ"obsplus-0.2.4-pyh191b570_0.tar.bz2”h+Œ 01c32eb13a9c59eb151b11ccb3682c4a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/obsplus-0.2.4-pyh191b570_0.tar.bz2”h0Œ@37f9c3133013bdecfd9d5b6f208e539c2d6f649de2f61d846f6df4e18b67ec79”h2NhNh3(Œnumpy >=1.13.0”Œobspy >=1.2.1”Œpandas >=1.0”Œprogressbar2”Œpydantic >=1.8.2”Œpytables”Œpython >=3.6”Œscipy”Œ
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r-partykit”Œr-rlang”Œ
r-survival”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ+»ŠbhEJG	 hFˆubh)”}”(hŒmesa-dri-drivers-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_1101”h'MMhhh(h)hŒ:mesa-dri-drivers-cos7-aarch64-18.3.4-h1795305_1101.tar.bz2”h+Œ cc0ef87a89a0714f70d6fd7ac1ec4ab5”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-aarch64-18.3.4-h1795305_1101.tar.bz2”h0Œ@1dbaf445506be41a07fce5422329d0457d64ef6c7499c6eb317e1f99907c1b8c”h2NhNh3Œlibdrm-cos7-aarch64 >=2.4.83”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å…Ì›¦hEJ÷|˜hFˆubh)”}”(hŒpixman-devel-cos6-x86_64”h#Œ0.32.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4pixman-devel-cos6-x86_64-0.32.8-h9d98e8f_104.tar.bz2”h+Œ f0cfd7afb148b4fa39d2f76467a7594b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pixman-devel-cos6-x86_64-0.32.8-h9d98e8f_104.tar.bz2”h0Œ@9fdf07316936cc8832f6879e396d93cb975bc4cfe882847e04b43e20daf48b83”h2NhNh3Œ!pixman-cos6-x86_64 ==0.32.8 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{%tÝ/hEM6hFˆubh)”}”(hŒr-hdm”h#Œ0.3.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ!r-hdm-0.3.1-r35h6115d3f_1.tar.bz2”h+Œ 75398a2c49da5cdb444f62f0d3498567”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hdm-0.3.1-r35h6115d3f_1.tar.bz2”h0Œ@b0080de7758ab960ac49e4e7a9d4e6a7206e440f08ac0e87e5197a63c802613b”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-checkmate”Œ	r-formula”Œ	r-ggplot2”Œr-glmnet”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGA×M¹"VvÉhEJO- hFˆubh)”}”(hŒr-ips”h#Œ0.0.11”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-ips-0.0.11-r40hc72bb7e_1.tar.bz2”h+Œ 7db06b822ea893979d7787b2c6f3b791”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ips-0.0.11-r40hc72bb7e_1.tar.bz2”h0Œ@2ffe77044d158158d8be1b49dcc85617d70fc751e88e22cecb433efdd76ee0de”h2NhNh3(Œr-ape”Œr-base >=4.0,<4.1.0a0”Œ
r-phangorn”Œr-plyr”Œr-seqinr”Œr-xml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+Ò^ÞhEJ¢“ hFˆubh)”}”(hŒslumber”h#Œ0.7.1”h%Œpy_1”h'Khhh(h)hŒslumber-0.7.1-py_1.tar.bz2”h+Œ 8e39d52a90caa434fa02f63c161cfdf7”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/slumber-0.7.1-py_1.tar.bz2”h0Œ@0f199e095d3e2d6d4978c6311b55252b51a0a29d2177f5f1978bede7219db184”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒBSD 2-Clause”hBŒBSD”hEMÕ&hFˆubh)”}”(hŒrich-cli”h#Œ1.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#rich-cli-1.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 401cc6e5166d554536855ea39b484150”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rich-cli-1.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f1f0ba005e8d423d04fe52a22a333be02f3b4a96cd04653a1641a895066a6e75”h2NhNh3(Œclick >=8.0.0”Œpython >=3.7”Œrequests >=2.0.0”Œrich >=12.0.0”Œrich-rst >=1.1.7”Œtextual >=0.1.15”t”h9h?h@ŒMIT”hBŒMIT”hDGAØž{ç\)hEM¥GhFˆubh)”}”(hŒr-optimbase”h#Œ1.0_10”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-optimbase-1.0_10-r41hc72bb7e_1.tar.bz2”h+Œ 4b76c050230bf9c89c7d7215f8ded329”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-optimbase-1.0_10-r41hc72bb7e_1.tar.bz2”h0Œ@bdbce936101fdcc50f328062924704a399cc67131047b5615d503d667a8bd33a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”†”h9hºh@ŒCeCILL-2”hBŒOTHER”hDGAØÑT uhEJhÁ hFˆubh)”}”(hŒ	r-debugme”h#Œ1.1.0”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ(r-debugme-1.1.0-r40hc72bb7e_1003.tar.bz2”h+Œ 835dcdd54a01946ec61bffa16f7ba402”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-debugme-1.1.0-r40hc72bb7e_1003.tar.bz2”h0Œ@f4bf11cf78167edce279c545ae5cff88518c21f2e30b9eb9cd62d61f71bb456a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-crayon”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ*úFFffhEJú¾ hFˆubh)”}”(hŒr-tsoutliers”h#Œ0.6_8”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-tsoutliers-0.6_8-r36h6115d3f_1.tar.bz2”h+Œ 587dfbe765f59074b9c6cbe8f6a31b8c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tsoutliers-0.6_8-r36h6115d3f_1.tar.bz2”h0Œ@2042e13df2c4f3de5ecbbc2f83a70fbc8d1442342d90d82a0218efe17483cc1b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-forecast”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬Ú  hEJ4  hFˆubh)”}”(hŒdit”h#Œ1.2.3”h%Œpy_1”h'Khhh(h)hŒdit-1.2.3-py_1.tar.bz2”h+Œ 0b792eb6740b48292800c37aeaff0ac7”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/dit-1.2.3-py_1.tar.bz2”h0Œ@5e267eebf55d24887b7f0a144cd25f2be99669945b8f62e9550432c175cb92a9”h2NhNh3(Œboltons”Œcontextlib2”Œdebtcollector”Œnetworkx”Œnumpy >=1.11”Œprettytable”Œpython <3.7”Œscipy >=0.15.0”Œsix >=1.4.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×8²“33hEJ¦Á hFˆubh)”}”(hŒflask-marshmallow”h#Œ0.14.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ-flask-marshmallow-0.14.0-pyh9f0ad1d_0.tar.bz2”h+Œ 52430904996bbf4b534715eec61f3069”h.Œ[https://conda.anaconda.org/conda-forge/noarch/flask-marshmallow-0.14.0-pyh9f0ad1d_0.tar.bz2”h0Œ@dce8f7ad612e66463c8ff464b72418e1491ef1149876c87d7ef529c4fcb36c7a”h2NhNh3(Œflask”Œmarshmallow >=2.0.0”Œpython”Œsix >=1.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Üb3¹G®hEM‰/hFˆubh)”}”(hŒ	multiaddr”h#Œ0.0.9”h%Œpy_0”h'K hhh(h)hŒmultiaddr-0.0.9-py_0.tar.bz2”h+Œ 36cbbb7e05a5565a0595ceab3a5e78c0”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/multiaddr-0.0.9-py_0.tar.bz2”h0Œ@313d15cc724634771e438aae4afe4cc8d00a46837abb9d19db482e1ece085c24”h2NhNh3(Œbase58”Œidna”Œnetaddr”Œpython >=3.5”Œsix”Œvarint”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Ò¢>0å`hEMå<hFˆubh)”}”(hŒr-agricolae”h#Œ1.3_5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-agricolae-1.3_5-r41hc72bb7e_0.tar.bz2”h+Œ 5cb8ca77c52df6b8a050d671c973af28”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-agricolae-1.3_5-r41hc72bb7e_0.tar.bz2”h0Œ@ceefd3af2ca773b84fc9de1cb5b111618f38995b5b3fd34e8034ee9631b141cb”h2NhNh3(Œr-algdesign”Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-klar”Œr-mass”Œr-nlme”Œr-spdep”t”h9hºh@ŒGPL”hBŒGPL”hDGAØ/~â°!hEJÅî hFˆubh)”}”(hŒr-diffusionmap”h#Œ1.2.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ*r-diffusionmap-1.2.0-r41hc72bb7e_2.tar.bz2”h+Œ 054f12ffc1b601bdb70137d4f9cf8f5c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-diffusionmap-1.2.0-r41hc72bb7e_2.tar.bz2”h0Œ@8def7dcbe525b2952cfd6432cd6e5a216685eeb72561f875211b874444482112”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-igraph”Œr-matrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ‹_a‡hEJøƒ hFˆubh)”}”(hŒpandoctools”h#Œ2.8.0.5”h%Œpy_0”h'K hhh(h)hŒ pandoctools-2.8.0.5-py_0.tar.bz2”h+Œ 8185c55c046f33f64c36e03521af4d8b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pandoctools-2.8.0.5-py_0.tar.bz2”h0Œ@d9ef066d091499cc02aec6c88470874c7c535059d0ca9386219e1cfade692cbb”h2NhNh3(Œclick”Œjupyter”Œjupyter_console >=6.0.0”Œknitty >=0.6.1”Œlibsass”Œnotebook”Œnumpy”Œpanflute >=1.12.4”Œpip >=10.0.1”Œpy-mathjax <3.0”Œpy-open-fonts >=0.7.0”Œpy-pandoc >=2.8.0.1”Œpy-pandoc-crossref >=0.3.5.0.1”Œpyppdf >=0.1.1”Œpython >=3.6”Œpyyaml”Œ
setuptools”Œshortcutter >=0.1.19”Œshutilwhich-cwdpatch >=0.1.0”Œsugartex >=0.1.16”t”h9h?h@ŒMIT”hBŒMIT”hDGA×âûŸ²hEJp hFˆubh)”}”(hŒr-directlabels”h#Œ	2021.1.13”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ.r-directlabels-2021.1.13-r42hc72bb7e_1.tar.bz2”h+Œ 5f74bbad16ba1144e4bdeefc73592cf6”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-directlabels-2021.1.13-r42hc72bb7e_1.tar.bz2”h0Œ@f4f2d91685e12e3fa66bbc310c80ea929ef0588ec3574c90e71335b9b3e7809b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ‹:²hEJàx hFˆubh)”}”(hŒlazy_import”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&lazy_import-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ e9dd87eeb45e31f5b62c5ddcbe422227”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/lazy_import-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0b6ae1ac9479f61b6a03124329ef04d3aadce6add5191a9ede41b859d1f9af3c”h2NhNh3Œpython ==2.7.*|>=3.4”Œsix”†”h9h?h@ŒGPL-3.0-only AND ZPL-2.0”hDGAØm¸hEMhFˆubh)”}”(hŒdeepdish”h#Œ0.3.4”h%Œpy_2”h'Khhh(h)hŒdeepdish-0.3.4-py_2.tar.bz2”h+Œ 54c80a468ae014f30d8d8132286e4703”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/deepdish-0.3.4-py_2.tar.bz2”h0Œ@9aade69eaad1410befaf27c61a6dc52ef71dfb11e55ea5f85f359cd990afecbd”h2NhNh3(Œnumpy”Œpytables”Œpython”Œscipy”t”h9h?h@ŒBSD 2-Clause”hDGAÖÒ¡]‰%hEM{hFˆubh)”}”(hŒr-rsolnp”h#Œ1.16”h%Œr36_1003”h'Mëhhh(h)hŒr-rsolnp-1.16-r36_1003.tar.bz2”h+Œ 1673f1542a25750440645d2fcc972375”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-rsolnp-1.16-r36_1003.tar.bz2”h0Œ@03b67c77b5d89c30cf8f017f6926d1d136ead08af4d0c599377ddbfa33379451”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-truncnorm”†”h9hºh@ŒGPL”hBŒGPL”hDGA×¬—¦{hEJi! hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpy_7”h'Khhh(h)hŒ$fenics-dijitso-2019.1.0-py_7.tar.bz2”h+Œ c9de49fb281e0ed779c4c71ee51d93f9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-py_7.tar.bz2”h0Œ@8f9d31966440309b076181e5f9a021501ddf118880cfc06e6a55154745425ccf”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×bÐGÎÙhEM­¤hFˆubh)”}”(hŒ	r-dagwood”h#Œ0.1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-dagwood-0.1.4-r41hc72bb7e_1.tar.bz2”h+Œ f61161f82f9a665480748544316abc00”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dagwood-0.1.4-r41hc72bb7e_1.tar.bz2”h0Œ@03daa764af5be9d95fa9238ea280fddd21f5bd2a8838255d710fe76313a59c57”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-dagitty”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ4º²áHhEM²‹hFˆubh)”}”(hŒjazal”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ jazal-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ cd8b4b1d46f242480fb6b2b00b316c16”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/jazal-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cce01c52badb1c2acb2fbfa49de33e7cfbb9b7318e3176e446648f851e37315a”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ^3&.È´hEM‹4hFˆubh)”}”(hŒr-rpmm”h#Œ1.25”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ$r-rpmm-1.25-r36h6115d3f_1002.tar.bz2”h+Œ 043a9c18fe78466dd0274d94f3d63dab”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rpmm-1.25-r36h6115d3f_1002.tar.bz2”h0Œ@c1b60757f9d73200fa259ba1041234802189627ddeb7f6ae276b9e0578c2a38c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬@œ±º^hEJ€Ž hFˆubh)”}”(hŒdask-glm”h#Œ0.2.0”h%Œpy_1”h'Khhh(h)hŒdask-glm-0.2.0-py_1.tar.bz2”h+Œ 7c9c5295a0499bf56bbf084578618af5”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/dask-glm-0.2.0-py_1.tar.bz2”h0Œ@002c044dc8facfa625e5a5aaad590dbd4716482f876aa721df5ebdda39ea23e1”h2NhNh3(Œdask”Œmultipledispatch >=0.4.9”Œ
python >=3”Œscikit-learn >=0.18”Œscipy >=0.18.1”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×_ïJpõÃhEM 9hFˆubh)”}”(hŒr-rattle”h#Œ5.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-rattle-5.5.1-r40hc72bb7e_0.tar.bz2”h+Œ f5f842de57fbf63bbfbe40ec815df3fa”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rattle-5.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@b831b9b33c65e8dd12c28ec3577dfb49957dff543b627e1bae0c2c697cf93770”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bitops”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-rpart.plot”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØŽ-¼+Æ¨hEJ@§_ hFˆubh)”}”(hŒibacm-cos7-ppc64le”h#Œ22.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ,ibacm-cos7-ppc64le-22.4-h9b0a68f_105.tar.bz2”h+Œ 7d80d2a359e3dd8e62126a711bc2274d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-ppc64le-22.4-h9b0a68f_105.tar.bz2”h0Œ@f1aeece202e8b837c960945b991ffb31ac6a6f1409c4a8b43fbde4f695e37eba”h2NhNh3Œ#libibumad-cos7-ppc64le ==22.4 *_105”Œ$libibverbs-cos7-ppc64le ==22.4 *_105”Œ#rdma-core-cos7-ppc64le ==22.4 *_105”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@Ž»kçmhEJ€x hFˆubh)”}”(hŒmesa-khr-devel-cos7-x86_64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ7mesa-khr-devel-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ ebd158afe8fefc88e47184eae4dd09c3”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@e08098b4d8ad24ddaecbfa6cb3c56b36dc64eb149faf164a9a7d25678ccd0858”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0_ÒÀƒhEMDhFˆubh)”}”(hŒdagster_postgres”h#Œ0.6.5”h%Œpy_0”h'K hhh(h)hŒ#dagster_postgres-0.6.5-py_0.tar.bz2”h+Œ 305d326e69e16beb0b511aabedb89f9b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dagster_postgres-0.6.5-py_0.tar.bz2”h0Œ@4c3412131393357fd3fb6d55273c99fb15e68355ba372eda05fab3d3e421d3b8”h2NhNh3Œdagster 0.6.5.*”Œpsycopg2”Œpython”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×x90PQìhEMuLhFˆubh)”}”(hŒjupyterlab_autoversion”h#Œ0.3.6”h%Œpyhc268e32_0”h'K hhh(h)hŒ1jupyterlab_autoversion-0.3.6-pyhc268e32_0.tar.bz2”h+Œ 828cceddcc494be28ac283a5debbd495”h.Œ_https://conda.anaconda.org/conda-forge/noarch/jupyterlab_autoversion-0.3.6-pyhc268e32_0.tar.bz2”h0Œ@50a54c058372c56dad811c3bf6d80ddae5d8437807b8ae1fda4da246b34a75a2”h2NhNh3(Œgitpython >=2.1.11”Œjupyterlab >=3.0.0”Œnotebook”Œpython >=3.7”t”h9h?h@Œ
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r-sinaplot”h#Œ1.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-sinaplot-1.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 1c1a8b663e70d2da669dd815177d6ca6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sinaplot-1.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@5c71873c55a04fe942041492cc031deeee088dcc54e047ec640b720e344d5755”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plyr >=1.8.4”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+×)‰7hEJj‘ hFˆubh)”}”(hŒpymannkendall”h#Œ1.4.2”h%Œpyh8a188c0_0”h'K hhh(h)hŒ(pymannkendall-1.4.2-pyh8a188c0_0.tar.bz2”h+Œ 29bd0509dca262753cf2a00b880930cd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pymannkendall-1.4.2-pyh8a188c0_0.tar.bz2”h0Œ@fb940b521b73f5e4f10eaec156a100f438a41ab8cb7ffbab1fadeaaf72987cbb”h2NhNh3Œnumpy”Œ
python >=3”Œscipy”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ,9®4IºhEMu<hFˆubh)”}”(hŒsemi-ate-test-app”h#Œ1.0.12”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ-semi-ate-test-app-1.0.12-pyh1a96a4e_0.tar.bz2”h+Œ 16669fd442924f79de7b4cd254e2e48c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/semi-ate-test-app-1.0.12-pyh1a96a4e_0.tar.bz2”h0Œ@e884cda389179608fb32d4c35cbf2a564165ad012366da34b237934c3d04b32f”h2NhNh3(Œnumpy”Œ	paho-mqtt”Œpydantic”Œpython >=3.8”Œsemi-ate-apps-common”Œsemi-ate-common”Œtransitions”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØÍjÚÑÊÁhEM²¯hFˆubh)”}”(hŒharfbuzz-cos7-aarch64”h#Œ1.7.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0harfbuzz-cos7-aarch64-1.7.5-h9d98e8f_104.tar.bz2”h+Œ 293e80e94d0ac5ca920261f57b94eb07”h.Œ^https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-aarch64-1.7.5-h9d98e8f_104.tar.bz2”h0Œ@fcafd157b65e92dfffefb1c4404d246504f519933dbdbef1c75d4df172902b38”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyBp ÅhEJVØ hFˆubh)”}”(hŒfontconfig-cos7-ppc64le”h#Œ2.13.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ3fontconfig-cos7-ppc64le-2.13.0-hdf0574f_102.tar.bz2”h+Œ e14112c5f6022c25b1e77615e6737b68”h.Œahttps://conda.anaconda.org/conda-forge/noarch/fontconfig-cos7-ppc64le-2.13.0-hdf0574f_102.tar.bz2”h0Œ@1f2284672308f9a6e7b07364a3a529688e35fb02ab277d6fc484ef39cacd6cb0”h2NhNh3Œ!freetype-cos7-ppc64le >=2.8 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×Å¶¢0£×hEJ¥í hFˆubh)”}”(hŒr-circstats”h#Œ0.2_6”h%Œ	r351_1000”h'Mèhhh(h)hŒ#r-circstats-0.2_6-r351_1000.tar.bz2”h+Œ 2942c9743fae50b5b73d41a3456b1b75”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-circstats-0.2_6-r351_1000.tar.bz2”h0Œ@937b1ad189111cc5f921e67048f8ec3802cfafd7f97a64db8f4d0f441041f2ab”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖý3òñªhEJ÷¾ hFˆubh)”}”(hŒupf_to_json”h#Œ0.9.2”h%Œpy_0”h'K hhh(h)hŒupf_to_json-0.9.2-py_0.tar.bz2”h+Œ fc216ce2e8a05ede6fac6ceeffe97c48”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/upf_to_json-0.9.2-py_0.tar.bz2”h0Œ@a257cfd151b4ed23a2c3f4950ec1d6d11b025a1c9e35a9dfab8586065d2e629e”h2NhNh3Œpython”Œsix”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×lÁzÿ+hEMÆ*hFˆubh)”}”(hŒr-ggalt”h#Œ0.4.0”h%Œr40_2”h'Khhh(h)hŒr-ggalt-0.4.0-r40_2.tar.bz2”h+Œ 0e48bc57a2e6470c1d4fa5a5546f6dac”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-ggalt-0.4.0-r40_2.tar.bz2”h0Œ@e3349adfbe1abd9eb6c5385f1fdaf6009b2c0e6681c6c7832f14a813d8ed9a12”h2NhNh3(Œr-ash”Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-extrafont”Œr-ggplot2 >=2.2.1”Œr-gtable”Œr-kernsmooth”Œr-maps”Œr-mass”Œr-plotly >=3.4.1”Œr-proj4”Œr-rcolorbrewer”Œr-scales”Œr-tibble”t”h9hºh@ŒAGPL”hBŒAGPL”hDGA×¬È˜ùÛhEJ"í# hFˆubh)”}”(hŒ	r-preseqr”h#Œ4.0.0”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ(r-preseqr-4.0.0-r42hc72bb7e_1003.tar.bz2”h+Œ 12109d8549aed00d954c6b77f2f7906d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-preseqr-4.0.0-r42hc72bb7e_1003.tar.bz2”h0Œ@c881e1ae7405273e09e4686e03f9f484e8ca645ae898364e2516607f35042530”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-polynom”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ5ázÐåhEJÖÏ hFˆubh)”}”(hŒsiphon”h#Œ0.9”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒsiphon-0.9-pyhd8ed1ab_2.tar.bz2”h+Œ 3b07bef83f6567dbac956d5e62841670”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/siphon-0.9-pyhd8ed1ab_2.tar.bz2”h0Œ@ea629b08f20c5b670749f93cc5e7cc7c1ea8a7b147ffac5ce32f3f63ccdd4bef”h2NhNh3(Œbeautifulsoup4 >=4.6”Œnetcdf4”Œnumpy >=1.8”Œpandas”Œprotobuf >=3.0.0a3”Œpython >=3.6”Œrequests >=1.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØeXÈŽvÉhEM-ÛhFˆubh)”}”(hŒ	r-memoise”h#Œ2.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-memoise-2.0.1-r41hc72bb7e_1.tar.bz2”h+Œ b845009ecf0f751328755a76ce4edbfe”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-memoise-2.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@0a4903916692a056011e274f42f5e9631504b9fd746757be285a5da6fa208be8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-cachem”Œr-rlang >=0.4.10”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ.Sú-hEM×åhFˆubh)”}”(hŒrb-necromancer”h#Œ0.7.0”h%Œ
hd8ed1ab_1”h'Khhh(h)hŒ'rb-necromancer-0.7.0-hd8ed1ab_1.tar.bz2”h+Œ d6d6996fab2765cc831122c5199a4b95”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/rb-necromancer-0.7.0-hd8ed1ab_1.tar.bz2”h0Œ@bbd5b8c3d6d2d02c4bc9b7b9e34f39b14120a3c2ac86684a210f7f80c6502a92”h2NhNh3Œ
ruby >=2.5”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ#ÔÊ~úhEM‡½hFˆubh)”}”(hŒ
r-multiway”h#Œ1.0_6”h%Œr36h6115d3f_2”h'Khhh(h)hŒ&r-multiway-1.0_6-r36h6115d3f_2.tar.bz2”h+Œ 56c278fcc8658f49044d45e09bd75f4e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiway-1.0_6-r36h6115d3f_2.tar.bz2”h0Œ@34ba3c64a8be24497e83f29cf286bf23e2a5eb40562faa18ade58191e2054742”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-cmls”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬¡8XA‰hEJ—S
 hFˆubh)”}”(hŒgraspy”h#Œ0.2”h%Œpy_0”h'K hhh(h)hŒgraspy-0.2-py_0.tar.bz2”h+Œ c4e76c0212c026d664fe942a534b050b”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/graspy-0.2-py_0.tar.bz2”h0Œ@b90afeb80b782a198606c7931cde408c4c06ae097bdd64ba3758626feff6f56f”h2NhNh3(Œmatplotlib-base >=3.0.0”Œnetworkx >=2.1”Œnumpy >=1.8.1”Œpython >=3.5”Œscikit-learn >=0.19.1”Œscipy >=1.1.0”Œseaborn >=0.9.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ª,7iG®hEJÎ} hFˆubh)”}”(hŒ	r-modeest”h#Œ2.4.0”h%Œr35_0”h'K hhh(h)hŒr-modeest-2.4.0-r35_0.tar.bz2”h+Œ e575dad6c0c66d153a17977cbbaaa985”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-modeest-2.4.0-r35_0.tar.bz2”h0Œ@f3d9c3fb494b2f318840d28a98ce38c8ae52ba489e9f15cfcfb3f7bbfaaa7590”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-fbasics”Œr-stable”Œr-stabledist”Œr-statip >=0.2.3”t”h9hºh@ŒGPL-3”hBŒGPL-3”hDGA×t´’=qhEJÔt hFˆubh)”}”(hŒcclib”h#Œ1.7”h%Œpyhd3deb0d_0”h'K hhh(h)hŒcclib-1.7-pyhd3deb0d_0.tar.bz2”h+Œ 7f16f2982ac4c31763d8df9eeaed8e6d”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/cclib-1.7-pyhd3deb0d_0.tar.bz2”h0Œ@17e03ac4ae6aa8a9ce8d3214798fe8198e74f094b3de9e69f567092d4ec33117”h2NhNh3(Œ	biopython”Œnumpy”Œ	packaging”Œpandas”Œperiodictable”Œpython”Œscipy”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×üõ›a&éhEJ ' hFˆubh)”}”(hŒr-spiralize”h#Œ1.0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-spiralize-1.0.6-r41hc72bb7e_1.tar.bz2”h+Œ 0d657478c17551ba64a53a9b4f0a77d8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-spiralize-1.0.6-r41hc72bb7e_1.tar.bz2”h0Œ@cbfb43aa2609fe0a3efae49205bf2c6b4ff7ad629b82e1dd848f27443002ed62”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-circlize”Œr-getoptlong >=0.1.8”Œr-globaloptions >=0.1.1”Œr-lubridate”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒÍŒ¬hEJÛÁ hFˆubh)”}”(hŒr-phylotate”h#Œ1.3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-phylotate-1.3-r40h6115d3f_1.tar.bz2”h+Œ adf9029327132e668b97620c941bca92”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-phylotate-1.3-r40h6115d3f_1.tar.bz2”h0Œ@e922fecd3d51b7f8da56e43b3f36ba204811949d50743a37346cb0e7a7569881”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¯0Ï²hEJQ hFˆubh)”}”(hŒr-smotefamily”h#Œ1.3.1”h%Œr40h6115d3f_3”h'Khhh(h)hŒ)r-smotefamily-1.3.1-r40h6115d3f_3.tar.bz2”h+Œ ad1bf61ea5d416acc05024a4ee0d0624”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-smotefamily-1.3.1-r40h6115d3f_3.tar.bz2”h0Œ@0e4ca7a842f6f342dfd26c5f023295d6ca2a75ddaeadfda5fdf553b0e5290127”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dbscan”Œr-fnn”Œr-igraph”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬<›¶FhEJ8† hFˆubh)”}”(hŒads2inspire”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ads2inspire-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 45d3ffcd3283f34939e7f9f3d8da1142”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ads2inspire-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2c74cf68c524a6419b57c4b0c9bec0baeb894787bd45ed7fde2355852d7aa899”h2NhNh3Œbibtexparser”Œclick >=6.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ò¤!g\)hEMˆ0hFˆubh)”}”(hŒespaloma”h#Œ0.2.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#espaloma-0.2.4-pyhd8ed1ab_1.tar.bz2”h+Œ 68bc54439e828aca06dc736e3e390d9d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/espaloma-0.2.4-pyhd8ed1ab_1.tar.bz2”h0Œ@e24c4858f8c7cadd333d227423b70b4b6160254e40e0e2bc782554a4229e5952”h2NhNh3(Œmatplotlib-base”Œnumpy”Œopenff-forcefields”Œopenff-toolkit >=0.9.0,<0.11.0”Œopenmm”Œopenmmforcefields >=0.11.2”Œpython >=3.6”Œpytorch”Œqcportal >=0.15.0”Œscipy”Œsmirnoff99frosst”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÍÑ< “uhEJ}t hFˆubh)”}”(hŒnlp-primitives”h#Œ2.9.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)nlp-primitives-2.9.0-pyhd8ed1ab_1.tar.bz2”h+Œ b5789b527107ec9367b7393f2e0ed9f5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/nlp-primitives-2.9.0-pyhd8ed1ab_1.tar.bz2”h0Œ@bd0bb58b34049b91d3075b1168a72b6984b1f3edeac99b8ad220c65ca4d3e510”h2NhNh3(Œfeaturetools >=1.5.0”Œnltk >=3.4.5”Œnumpy >=1.17.5”Œpandas >=1.3.0”Œpython >=3.8.*”Œscikit-learn >=0.20.0”Œwoodwork >=0.19.0,!=0.20.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØØtï{¥ãhEJãühFˆubh)”}”(hŒp11-kit-trust-cos7-aarch64”h#Œ0.23.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6p11-kit-trust-cos7-aarch64-0.23.5-h9d98e8f_104.tar.bz2”h+Œ 2a352fcb12bc831bdd631bf722d18f9a”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-aarch64-0.23.5-h9d98e8f_104.tar.bz2”h0Œ@0dfbcae320afa66fcdee941856cccdeb94a0dc712f30fba0893ce31cf5cfa6da”h2NhNh3Œ#p11-kit-cos7-aarch64 ==0.23.5 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉzåódZhEJ©] hFˆubh)”}”(hŒ
r-denoiser”h#Œ1.0.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-denoiser-1.0.2-r42hc72bb7e_2.tar.bz2”h+Œ f34132c4fae47c951b329c20c93d6945”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-denoiser-1.0.2-r42hc72bb7e_2.tar.bz2”h0Œ@5104a544b94b408146df17b5637bebc00e115fffb2a8e69406dc4c7234b216fc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-factominer”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓpŠ¡XhEJÎR hFˆubh)”}”(hŒcadcad”h#Œ0.4.28”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"cadcad-0.4.28-pyhd8ed1ab_1.tar.bz2”h+Œ d0c366e28a070e9a79202219681f1af1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cadcad-0.4.28-pyhd8ed1ab_1.tar.bz2”h0Œ@1dab404826045c076de97731416fb4b815d5ab0bd2952ff55cf50e30e729054a”h2NhNh3(Œdill”Œfn”Œfuncy”Œnumpy”Œpandas”Œpathos”Œpython >=3.6”Œpytz”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØµ«dªñªhEMhFˆubh)”}”(hŒr-label.switching”h#Œ1.8”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-label.switching-1.8-r36h6115d3f_1.tar.bz2”h+Œ db379da88008c221c880e90932876231”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-label.switching-1.8-r36h6115d3f_1.tar.bz2”h0Œ@0fa2c7f4c71c60b0c49c441634e70558b98a0903212e563c22a6f5dae8f856d7”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-combinat”Œ	r-lpsolve”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬´þËC–hEJ› hFˆubh)”}”(hŒlibglvnd-egl-cos7-aarch64”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libglvnd-egl-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h+Œ 972b932f7eb72dd97251544cc58cc53f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-egl-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@d5eaf521075011013e4cfa422b11465f161d1e7a913cb80194cf2cecc8e3e234”h2NhNh3Œ#libglvnd-cos7-aarch64 ==1.0.1 *_105”Œ'mesa-libegl-cos7-aarch64 >=13.0.4 *_105”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@_«0£×hEMŠÎhFˆubh)”}”(hŒibacm-cos7-aarch64”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ-ibacm-cos7-aarch64-22.4-ha826a6f_1103.tar.bz2”h+Œ 3fd6c1c3fa6f62f9ba89dcfcea1e3dc5”h.Œ[https://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-aarch64-22.4-ha826a6f_1103.tar.bz2”h0Œ@ab2255c1ee5b83f686099a6164fd6d8c09cc5db8de2120d47b8a9dded43e610d”h2NhNh3(Œ$libibumad-cos7-aarch64 ==22.4 *_1103”Œ%libibverbs-cos7-aarch64 ==22.4 *_1103”Œ$rdma-core-cos7-aarch64 ==22.4 *_1103”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È-–¸RhEJ™n hFˆubh)”}”(hŒnbmake”h#Œ1.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!nbmake-1.3.4-pyhd8ed1ab_0.tar.bz2”h+Œ f6cca0d557ce12699a1d37a86b403a21”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/nbmake-1.3.4-pyhd8ed1ab_0.tar.bz2”h0Œ@3b306263e99d6d1d7185657846aef89c7f783e10f22b8b35d9b32388b5f157fe”h2NhNh3(Œipykernel >=5.4.0”Œnbclient >=0.5.13,<1.0”Œnbformat >=5.0.8,<6.0.0”Œpydantic >=1.7.2,<2.0.0”Œpygments >=2.7.3,<3.0.0”Œpytest >=6.1.0”Œpython >=3.7,<4.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¿¶d1hEMAhFˆubh)”}”(hŒlibxau-cos7-aarch64”h#Œ1.0.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.libxau-cos7-aarch64-1.0.8-h9d98e8f_104.tar.bz2”h+Œ 44000798ca427ae1399312363d79ffe6”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-aarch64-1.0.8-h9d98e8f_104.tar.bz2”h0Œ@8011c7aa460067190ddc03e9e9419217198f9f180f14f8b41419271e26b68550”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy¦s¶FhEM"bhFˆubh)”}”(hŒr-ggpointless”h#Œ0.0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-ggpointless-0.0.3-r40hc72bb7e_0.tar.bz2”h+Œ 53c70e29295f61b406387dddf7bbef90”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ggpointless-0.0.3-r40hc72bb7e_0.tar.bz2”h0Œ@f1a09fe1d23f6118c1f6932d6c37c65eb670100f8211892462110ba3103c03fe”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=3.3.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÁûþä¬hEJHn hFˆubh)”}”(hŒr-orcme”h#Œ2.0.2”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-orcme-2.0.2-r36h6115d3f_1002.tar.bz2”h+Œ 0cd3d94f058fd7ec01a8149949e9dd34”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-orcme-2.0.2-r36h6115d3f_1002.tar.bz2”h0Œ@b001a9aabb0c9bb5bfddfb44527181566df25f6bfac57dcb77b4335811299340”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-iso”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬œ‚ˆ“uhEJ´E hFˆubh)”}”(hŒr-stabledist”h#Œ0.7_1”h%Œr42ha770c72_2004”h'MÔhhh(h)hŒ+r-stabledist-0.7_1-r42ha770c72_2004.tar.bz2”h+Œ 3a9c41f234d932c06e4495994023ac6f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-stabledist-0.7_1-r42ha770c72_2004.tar.bz2”h0Œ@71ec62d88cac0f021eada558876b634ae57cfe126df18bb527dc377167384a56”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐ—Ç*\hEJW hFˆubh)”}”(hŒmesa-dri-drivers-cos7-aarch64”h#Œ18.3.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:mesa-dri-drivers-cos7-aarch64-18.3.4-h9d98e8f_1104.tar.bz2”h+Œ 41821812d879ec21587812432e472a72”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-aarch64-18.3.4-h9d98e8f_1104.tar.bz2”h0Œ@03ab6ab18ea17f7e855135ddd5b9341b01989f7196ba9f37a0afe8c18267fea0”h2NhNh3Œ#libdrm-cos7-aarch64 >=2.4.83 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|´g¾whEJuž˜hFˆubh)”}”(hŒoct-to-tiff”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&oct-to-tiff-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0072639cb0c1a38e31f9e4b2b902c725”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/oct-to-tiff-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e43330ce6eb1e6c0721497c0edeff0ccf266d86c660a5baac063b2551d49e6ab”h2NhNh3Œnumpy”Œpython >=3.7”Œtifffile”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÜc—ïžhEMð'hFˆubh)”}”(hŒsetuptools-lint”h#Œ0.6.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*setuptools-lint-0.6.0-pyh9f0ad1d_0.tar.bz2”h+Œ 32e0cab52059a0563846b7e0ba6d08fb”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/setuptools-lint-0.6.0-pyh9f0ad1d_0.tar.bz2”h0Œ@5d3753e0982a87db05370e30ce670373e371fa548446cf0dab65d88ba907611b”h2NhNh3Œpylint”Œpython”Œ
setuptools”‡”h9h?h@ŒZPL-2.1”hBŒOTHER”hDGA×£<ô“hEM¯hFˆubh)”}”(hŒ
r-cranlogs”h#Œ2.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-cranlogs-2.1.1-r40hc72bb7e_0.tar.bz2”h+Œ 56110a5c55e9fe51e62c35243f16c8d7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cranlogs-2.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@d6d0d079b5d8ab7c6b8ffc06bff64f9002fc6e97d59b05ab402906a23bf6130d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ%Nå[×
hEM‡{hFˆubh)”}”(hŒr-canopy”h#Œ1.3.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-canopy-1.3.0-r41hc72bb7e_1.tar.bz2”h+Œ f3503d85a65749f3fda0e8debd797101”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-canopy-1.3.0-r41hc72bb7e_1.tar.bz2”h0Œ@52231ab482590978df52e6a9594258f8923d1f40b5b013816429a79f602a6c42”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-fields”Œ
r-pheatmap”Œr-scatterplot3d”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+ÆéÛ#hEJL hFˆubh)”}”(hŒr-ggrasp”h#Œ1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-ggrasp-1.2-r41hc72bb7e_0.tar.bz2”h+Œ 6c83b050b999700618ee43f0f9d23716”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggrasp-1.2-r41hc72bb7e_0.tar.bz2”h0Œ@8df6c2a811541170c78e4afa83aa4a0186efb9aa7137b9292abb67a9ba4ea38d”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-bgmm”Œr-colorspace”Œ	r-ggplot2”Œ
r-mixtools”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ˜gãÝ¡ËhEJë hFˆubh)”}”(hŒunifunc”h#Œ1.4.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"unifunc-1.4.5-pyhd8ed1ab_0.tar.bz2”h+Œ c031567a5fd1001ce939e0d3dd487587”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/unifunc-1.4.5-pyhd8ed1ab_0.tar.bz2”h0Œ@c6919370cd95a955addf2729c202815ab61612ad8fc5414935bc6b7a1b4a6b40”h2NhNh3(Œ
nltk >=3.6”Œnumpy”Œpython >=3.7”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‡ÒtýôhEJŠ>0 hFˆubh)”}”(hŒ	r-capushe”h#Œ1.1.1”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ(r-capushe-1.1.1-r40hc72bb7e_1003.tar.bz2”h+Œ 7ecf5580f8140cd7a7d1a2d595486507”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-capushe-1.1.1-r40hc72bb7e_1003.tar.bz2”h0Œ@55f61b97b8c4358da3e930c89ab10943dd82ba20edfab79e70993f9afe460400”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+µ«C–hEJµ¤ hFˆubh)”}”(hŒlibxcursor-cos7-ppc64le”h#Œ1.1.15”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libxcursor-cos7-ppc64le-1.1.15-h9d98e8f_104.tar.bz2”h+Œ 69b0084f76415803f94a62a183c02560”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-ppc64le-1.1.15-h9d98e8f_104.tar.bz2”h0Œ@65e06646a459b2f478ba6110986769863a519a097c19ed0891c67eaacbb0e534”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{ý”(öhEM3qhFˆubh)”}”(hŒr-optimr”h#Œ
2019_12.16”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-optimr-2019_12.16-r41hc72bb7e_1.tar.bz2”h+Œ 279a4f9fd138bd4b83f19afaa34b4272”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimr-2019_12.16-r41hc72bb7e_1.tar.bz2”h0Œ@82a54de995b580c187d6d85d5775785c1b2fdf2248bcf41b2ec9c18111b61f44”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-numderiv”Œr-optextras”Œr-rcgmin”Œr-rvmmin”Œr-setrng”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+%/hEJ>6 hFˆubh)”}”(hŒneattext”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#neattext-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ aa60991bc608a2f64b1f31959a81c5f1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/neattext-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@05812fc46f257fb00b84ce6a2de053f4d221177dacf5a33eb512ea14bf46c761”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¼B€©ühEJr hFˆubh)”}”(hŒr-perry”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-perry-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ 532a5cfbde1f23986f69ab85046988ef”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-perry-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@e42b930b474f3eedb8b08ccb96eb4d5c002b93e46b9ecdba8d8f7b1558ddb2b3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=0.9.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ`¯yÒòhEJ1å hFˆubh)”}”(hŒsrtm.py”h#Œ0.3.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"srtm.py-0.3.7-pyhd8ed1ab_0.tar.bz2”h+Œ 8448330f761b4fa0f7d6e307b7ecbe6c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/srtm.py-0.3.7-pyhd8ed1ab_0.tar.bz2”h0Œ@a601a91ea56ea9a7521841e24db9d5b7f09caa2ca96fbedcc87d9845ab79428b”h2NhNh3Œgpxpy”Œpython >=3.6”Œrequests”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØJjeÂhEJN  hFˆubh)”}”(hŒr-pcamixdata”h#Œ3.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-pcamixdata-3.1-r41hc72bb7e_1.tar.bz2”h+Œ 1b2f0f0d059138428d88dd4b541d95a4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pcamixdata-3.1-r41hc72bb7e_1.tar.bz2”h0Œ@e80d39ff22b47b85cbd409c5be642877a4fa8266770bb35054a409fa0479987f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ” å`hEJ^ hFˆubh)”}”(hŒlibbonobo-devel-cos7-aarch64”h#Œ2.32.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8libbonobo-devel-cos7-aarch64-2.32.1-h9d98e8f_104.tar.bz2”h+Œ 9c0e68ae885841cfff1b9969561aee6d”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos7-aarch64-2.32.1-h9d98e8f_104.tar.bz2”h0Œ@dede2325826fb42a650da2aa8fbba03c1f609813d3c2b45941806d5046514449”h2NhNh3Œ%libbonobo-cos7-aarch64 ==2.32.1 *_104”Œ)libxml2-devel-cos7-aarch64 >=2.4.21 *_104”Œ'orbit2-devel-cos7-aarch64 >=2.7.5 *_104”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×É~;•ãThEJó¹ hFˆubh)”}”(hŒevfuncs”h#Œ0.3.5”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"evfuncs-0.3.5-pyhd8ed1ab_1.tar.bz2”h+Œ 81c8c944d1a4dc7c26bbf1dd2e3c21e6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/evfuncs-0.3.5-pyhd8ed1ab_1.tar.bz2”h0Œ@59e7edb93be541b515f0ce40557feb3ad485c5ab055b77e2ffa9773a76f7c3b0”h2NhNh3Œnumpy >=1.18.1”Œpython >=3.8”Œscipy >=1.2.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ®ìˆçïžhEMþ3hFˆubh)”}”(hŒfine”h#Œ2.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒfine-2.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 119cb34ffaf0537ceb28146187466142”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/fine-2.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@647d69c5dcf0e8dc1a7e63e0c24b860005580c179341733468d1b2b094ad0c08”h2NhNh3(Œblack”Œ	descartes”Œgdal”Œ	geopandas”Œglpk”Œgpyopt”Œjupyter”Œlibiconv”Œlibpysal”Œmatplotlib-base”Œnbval”Œnetcdf4”Œnetworkx”Œnotebook”Œnumpy”Œopenpyxl”Œpandas”Œpip”Œpwlf”Œpydoe”Œpylint”Œpyomo”Œpytest”Œ
pytest-cov”Œpython >=3.6”Œrasterio”Œscikit-learn”Œscipy”Œseaborn”Œsphinx_rtd_theme”Œstatsmodels”Œtsam”Œ
wquantiles”Œxarray”Œxlrd”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ™³ãSøhEJhˆð
hFˆubh)”}”(hŒpango-devel-cos7-ppc64le”h#Œ1.42.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4pango-devel-cos7-ppc64le-1.42.4-h9d98e8f_104.tar.bz2”h+Œ d1f4d03f4b8872d36e74b30b1a62aead”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-ppc64le-1.42.4-h9d98e8f_104.tar.bz2”h0Œ@a6f302bc833dee7e625a2cdf5f65cfbc0d7df9e697b83b11bceb58b88c49cc77”h2NhNh3(Œ(cairo-devel-cos7-ppc64le >=1.12.10 *_104”Œ-fontconfig-devel-cos7-ppc64le >=2.11.91 *_104”Œ)freetype-devel-cos7-ppc64le >=2.1.5 *_104”Œ'glib2-devel-cos7-ppc64le >=2.56.1 *_104”Œ!pango-cos7-ppc64le ==1.42.4 *_104”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}ëãt¼hEJ°˜ hFˆubh)”}”(hŒ
r-prabclus”h#Œ2.3_2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-prabclus-2.3_2-r40h6115d3f_1.tar.bz2”h+Œ d441d68294805cb8b4ba2086cb00c35a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prabclus-2.3_2-r40h6115d3f_1.tar.bz2”h0Œ@17e2b50c9f756f8cd994b581be8dc70ef11b8478020f7c6dc9de9efef1945e6d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”Œr-mclust”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×«â¿{dZhEJÑ… hFˆubh)”}”(hŒprov”h#Œ2.0.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒprov-2.0.0-pyhd3deb0d_0.tar.bz2”h+Œ aa9b3ad140f6c0668c646f32e20ccf82”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/prov-2.0.0-pyhd3deb0d_0.tar.bz2”h0Œ@81541682e06f6af1f037e969554e32ae1140ea3f26944e82809eb66712a691c3”h2NhNh3(Œlxml >=3.3.5”Œnetworkx >=2.0”Œpydot >=1.2.0”Œpython”Œpython-dateutil >=2.2”Œrdflib >=4.2.2”Œsix >=1.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×èÀ1xÕhEJqn hFˆubh)”}”(hŒ	r-superpc”h#Œ1.12”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-superpc-1.12-r41hc72bb7e_1.tar.bz2”h+Œ 34bebc1cae39210478caa8bb2c028f82”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-superpc-1.12-r41hc72bb7e_1.tar.bz2”h0Œ@643345e0cb8a90e1fac4e0f761c8b8a71ebc02c0f74a66e9c543b3d4b6bbc442”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-survival”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑþ9õ/hEJÅ­ hFˆubh)”}”(hŒsysroot-cos7-x86_64”h#Œ2.17”h%Œh1a5fb1d_10”h'K
hhh(h)hŒ,sysroot-cos7-x86_64-2.17-h1a5fb1d_10.tar.bz2”h+Œ b815fb58b0081f373bc4fcd7d135d2e1”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h1a5fb1d_10.tar.bz2”h0Œ@74a156c2aefe14822873b21572be5292241c11491c63d08bfb0ef8b1c639b24c”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGA×Éd˜ ÄœhEMØ2hFˆubh)”}”(hŒcairo-devel-cos7-x86_64”h#Œ1.15.12”h%Œha826a6f_1103”h'MOhhh(h)hŒ5cairo-devel-cos7-x86_64-1.15.12-ha826a6f_1103.tar.bz2”h+Œ b1a88572d5626960eb5ddcb7e3cc0f7e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-x86_64-1.15.12-ha826a6f_1103.tar.bz2”h0Œ@4b4f042bbe04355c5bd07a481cbf7112f0da9213f4bd4aec54d7f9384ce6eaaf”h2NhNh3Œ"cairo-cos7-x86_64 ==1.15.12 *_1103”•	      Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Æ1AWPhEJDÃ hFˆubh)”}”(hŒ
stop-words”h#Œ	2018.7.23”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)stop-words-2018.7.23-pyh9f0ad1d_0.tar.bz2”h+Œ 2e7e8f9357602b98d864b96ee8a1151b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/stop-words-2018.7.23-pyh9f0ad1d_0.tar.bz2”h0Œ@0d207627e16505487cb5dcdc3cb2d72c967c8bd406036882d40e1e57ca10f081”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¬æEç
=hEMÓ„hFˆubh)”}”(hŒr-ppcor”h#Œ1.1”h%Œr41ha770c72_1004”h'Mìhhh(h)hŒ$r-ppcor-1.1-r41ha770c72_1004.tar.bz2”h+Œ 206a182ae237d5b268a293dfd1d42994”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ppcor-1.1-r41ha770c72_1004.tar.bz2”h0Œ@f0f3153778fe811ab242a59ed6762d5c87e74f7b0cd3a69e0f9ae019f1e5e588”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÐÛÐõÃhEMM¥hFˆube(h)”}”(hŒlibxml2-cos7-aarch64”h#Œ2.9.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libxml2-cos7-aarch64-2.9.1-h9b0a68f_1105.tar.bz2”h+Œ 514c34dea58f5c541ee8003c725225df”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-aarch64-2.9.1-h9b0a68f_1105.tar.bz2”h0Œ@b6aa6e5e2c57a19064b01dfdaf3e7895b82f1215cbab487a3428ce469af0a4cc”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Šö¼záhEJ¬
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r-jsonlite”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ü"p QìhEJ¿™ hFˆubh)”}”(hŒ	rb-liquid”h#Œ4.0.3”h%Œ
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r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×Øá%*-hEJF½ hFˆubh)”}”(hŒr-trekcolors”h#Œ0.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-trekcolors-0.1.3-r42hc72bb7e_1.tar.bz2”h+Œ 92e4d0968b94d23b770197236f19bf60”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-trekcolors-0.1.3-r42hc72bb7e_1.tar.bz2”h0Œ@5c79a3e88a35a633d91f5eddc23a41141bc09b81415b46c0c5f5f1453d071493”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ‡ðhEJ ³ hFˆubh)”}”(hŒ	r-feature”h#Œ1.2.15”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-feature-1.2.15-r41hc72bb7e_0.tar.bz2”h+Œ 59cbcbc850d094739d69ddbbd2ef79f8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-feature-1.2.15-r41hc72bb7e_0.tar.bz2”h0Œ@c0639a6febf04add27592073e668b83732278f2094f8b406f2016617e1fe4ce6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ks >=1.10.0”Œr-misc3d”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ,‰	Û#hEJo¥ hFˆubh)”}”(hŒmesa-libegl-cos7-ppc64le”h#Œ18.3.4”h%Œh1795305_1101”h'MMhhh(h)hŒ5mesa-libegl-cos7-ppc64le-18.3.4-h1795305_1101.tar.bz2”h+Œ b74a54c8f9bda86fc48cadb445340186”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-ppc64le-18.3.4-h1795305_1101.tar.bz2”h0Œ@f69740b9c4628a61ae799ba9886c7bc59866f12e494648e06936fd2bc7715188”h2NhNh3Œmesa-libgbm-cos7-ppc64le 18.3.4”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å»š\hEJs¿ hFˆubh)”}”(hŒpytest-clarity”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pytest-clarity-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 76a7925032ca23744cf6c7a9fc0ef243”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytest-clarity-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7c5e4faaeb338abe87dd6f707e44d50265daeadc385304206ec1fcd8fb042688”h2NhNh3(Œpprintpp >=0.4.0”Œpytest >=3.5.0”Œpython ==2.7.*|>=3.5”Œrich >=8.0.0”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ0õUÂhEM"hFˆubh)”}”(hŒpysw4”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒpysw4-0.3.0-py_0.tar.bz2”h+Œ 46b3c5244ff58f735db8774c83d99ce4”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pysw4-0.3.0-py_0.tar.bz2”h0Œ@f4aa50cfb646a7ba4559044d7f2e236db8c2dd07bafe3c470556e628a5b9cfb5”h2NhNh3(Œgdal 2.*”Œ
matplotlib”Œnumpy”Œobspy >=1.0.3”Œpyproj”Œpython”Œscipy”t”h9h?h@ŒGPL-3.0”hBŒGPL”hEM•ûhFˆubh)”}”(hŒr-spls”h#Œ2.2_3”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ"r-spls-2.2_3-r42hc72bb7e_3.tar.bz2”h+Œ fc244ac0370fa23604a7d11e1de78618”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spls-2.2_3-r42hc72bb7e_3.tar.bz2”h0Œ@8aeed881b1f1061b45b3d8c429f0f7567c9eca23f254225a93005c39cbb7551a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-nnet”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒDÐÔþhEJ
½& hFˆubh)”}”(hŒpfapack”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒpfapack-0.1.1-py_0.tar.bz2”h+Œ f468f429513441d7f4e28214dcd0d4d4”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pfapack-0.1.1-py_0.tar.bz2”h0Œ@2c40e7d1f09107eaca2c1180bef4cfda95e325f3f9cd4c3414a96e8563934c17”h2NhNh3Œnumpy”Œpython >=3.6”Œscipy”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×—dhEMö,hFˆubh)”}”(hŒlibxcomposite-cos6-x86_64”h#Œ0.4.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libxcomposite-cos6-x86_64-0.4.3-h9b0a68f_105.tar.bz2”h+Œ 67e3882ef74a48493171dba7d2c94f0b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-cos6-x86_64-0.4.3-h9b0a68f_105.tar.bz2”h0Œ@2923767a1fc3c6fb65b22f7b07f25bb6932160a93fc516f30c41e5433c8357e2”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@UcFéyhEMChFˆubh)”}”(hŒsetuptools_subversion”h#Œ3.1”h%Œpyhd8ed1ab_1005”h'Míhhh(h)hŒ1setuptools_subversion-3.1-pyhd8ed1ab_1005.tar.bz2”h+Œ 3717de6bd0a0a1f12612043782e4e5d3”h.Œ_https://conda.anaconda.org/conda-forge/noarch/setuptools_subversion-3.1-pyhd8ed1ab_1005.tar.bz2”h0Œ@93734e47f9d5c2a72a58105afdaa43534142c428f04f51a24ad39afc048134b6”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØaøM’n˜hEM‚#hFˆubh)”}”(hŒ!xorg-x11-server-xvfb-cos7-ppc64le”h#Œ1.20.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ=xorg-x11-server-xvfb-cos7-ppc64le-1.20.4-h9b0a68f_105.tar.bz2”h+Œ 4861cea907d3006294ac75ba79d0e7a9”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos7-ppc64le-1.20.4-h9b0a68f_105.tar.bz2”h0Œ@d71cd54fffaa5292c81982a9b1b42fa8938c5c91ef1fa0299a0c4ae3cd93203a”h2NhNh3Œ2xorg-x11-server-common-cos7-ppc64le >=1.20.4 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGAØ@ŽŽ&$ÝhEJºy hFˆubh)”}”(hŒ	r-pastecs”h#Œ1.3.21”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-pastecs-1.3.21-r36h6115d3f_1.tar.bz2”h+Œ 605527d39773b3d2fd4c2e94b500c048”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pastecs-1.3.21-r36h6115d3f_1.tar.bz2”h0Œ@e82d1689260db08431f59ba7c350064780f9b8566baaf21fddcbd5057a5ce463”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-boot”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×O¬©OPhEJè¢ hFˆubh)”}”(hŒr-circstats”h#Œ0.2_6”h%Œr41hd8ed1ab_1002”h'Mêhhh(h)hŒ*r-circstats-0.2_6-r41hd8ed1ab_1002.tar.bz2”h+Œ a9457740a168a8fcb4ea00c2fdc50f51”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-circstats-0.2_6-r41hd8ed1ab_1002.tar.bz2”h0Œ@802d4fcf6e0dbf82be5c578f1eaf1e16aa44e1d3c2c4d9d258268fb2f6792913”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ân§ðhEJyÑ hFˆubh)”}”(hŒtextblob”h#Œ0.15.3”h%Œpy_0”h'K hhh(h)hŒtextblob-0.15.3-py_0.tar.bz2”h+Œ 3c0f5398f4d7815a0fa39277101c2550”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/textblob-0.15.3-py_0.tar.bz2”h0Œ@0b720e342bf49e50e670c24258f09054d3a2aeecc0d46f49a67b7a79f0741502”h2NhNh3Œ
nltk >=3.1”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Ê:“×
hEJÇJ	 hFˆubh)”}”(hŒcodacy-coverage”h#Œ1.3.11”h%Œpy_0”h'K hhh(h)hŒ#codacy-coverage-1.3.11-py_0.tar.bz2”h+Œ c80c66aaac8372ba347d08dd630acd25”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/codacy-coverage-1.3.11-py_0.tar.bz2”h0Œ@defc8aa267b97366b65b33636fbe4b6a00d7ccdd66aacc0a37cc2b81a507e4cd”h2NhNh3Œpython”Œrequests >=2.9.1”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×R±É‡hEMÀ#hFˆubh)”}”(hŒlibxext-devel-cos7-ppc64le”h#Œ1.3.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libxext-devel-cos7-ppc64le-1.3.3-ha826a6f_1103.tar.bz2”h+Œ 91b72709b4c333140f30553166c28fbb”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-ppc64le-1.3.3-ha826a6f_1103.tar.bz2”h0Œ@c7304d5f921f2f840711c31697f8c54eb9a130ec2abd0bd9c8816e764af399da”h2NhNh3Œ#libxext-cos7-ppc64le ==1.3.3 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3Ê‘ûçhEJ› hFˆubh)”}”(hŒsound_field_analysis”h#Œ0.3”h%Œpy_1”h'Khhh(h)hŒ%sound_field_analysis-0.3-py_1.tar.bz2”h+Œ 8465344a820888230d3a99d62f0d67d5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sound_field_analysis-0.3-py_1.tar.bz2”h0Œ@ca69df074479d041db849439ba911531b094b058ecadbfdba4a183a11706a9dd”h2NhNh3(Œnumpy”Œplotly”Œpython”Œscipy”t”h9h?h@ŒGPL-3.0”hDGAÖÐsÏ(öhEM`hFˆubh)”}”(hŒ
r-paintmap”h#Œ1.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ$r-paintmap-1.0-r35h6115d3f_1.tar.bz2”h+Œ e563d2b6824a8ebe552dbd1b1a43944e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r35h6115d3f_1.tar.bz2”h0Œ@070383d5a6d5645522aadeda9fb6e39e40ce2591c43f78934c8c58c653e6631d”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×RÑ^vÉhEMO‰hFˆubh)”}”(hŒ	r-metrics”h#Œ0.1.4”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ(r-metrics-0.1.4-r40hc72bb7e_1002.tar.bz2”h+Œ 33f50c58778948b3c80e57e68050bfb5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-metrics-0.1.4-r40hc72bb7e_1002.tar.bz2”h0Œ@2d632ec10d5e8ca1e03bac8fab9d6eaab03cc0b934c1641e49ee59ce6355f9b8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ+‚×
hEJ8b hFˆubh)”}”(hŒcairo-cos7-aarch64”h#Œ1.15.12”h%Œha826a6f_103”h'Kghhh(h)hŒ/cairo-cos7-aarch64-1.15.12-ha826a6f_103.tar.bz2”h+Œ 6bd33c8eabd316fe421937e9bb133065”h.Œ]https://conda.anaconda.org/conda-forge/noarch/cairo-cos7-aarch64-1.15.12-ha826a6f_103.tar.bz2”h0Œ@c7fcd5a26fa08e2405f5b5d9934f2bdd9082afd19270c9225eb304913364aeec”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Æ/s÷ÏhEJ hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_7”h'Khhh(h)hŒ!fenics-fiat-2019.1.0-py_7.tar.bz2”h+Œ bfcf5c9ff2812e7647c36a557ebd8be2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_7.tar.bz2”h0Œ@fe75e961183cdee4db226c9d0383b9b257486739c2f001f2e6167ea01e80fa45”h2NhNh3Œnumpy”Œpython >=3.5”Œ	sympy >=1”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×bÐ…»hEJ+ hFˆubh)”}”(hŒfreetype-cos7-x86_64”h#Œ2.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.freetype-cos7-x86_64-2.8-hdf0574f_1102.tar.bz2”h+Œ de308a1d899da82f45afb20cd2b157ce”h.Œ\https://conda.anaconda.org/conda-forge/noarch/freetype-cos7-x86_64-2.8-hdf0574f_1102.tar.bz2”h0Œ@44253ff159502a607e432b4f6e4b41f3eab8fc04be5e265779e6f0f5392ed98f”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×ÅiÇKÇhEJÇ hFˆubh)”}”(hŒr-assertive.data.us”h#Œ0.0_2”h%Œr40h6115d3f_2”h'Khhh(h)hŒ/r-assertive.data.us-0.0_2-r40h6115d3f_2.tar.bz2”h+Œ 1231dd989c382d150894dfd7abe1d353”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.us-0.0_2-r40h6115d3f_2.tar.bz2”h0Œ@e3ded3e26cf41d0567eef739ad00e4b8395ea780568b899b33aad40e719669c7”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.0,<4.1.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«ýò0QìhEMl¨hFˆubh)”}”(hŒr-relimp”h#Œ1.0_5”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ'r-relimp-1.0_5-r35h6115d3f_1002.tar.bz2”h+Œ aff502e831679fa79715cc486a6a16b5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-relimp-1.0_5-r35h6115d3f_1002.tar.bz2”h0Œ@61150619a417d8f192df697db7b1d04da47f6ae5a7174c811d905862072f280c”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Löê-hEJp hFˆubh)”}”(hŒ	r-r.cache”h#Œ0.16.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-r.cache-0.16.0-r41hc72bb7e_1.tar.bz2”h+Œ aef451160d655cc630d8038d934dced3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-r.cache-0.16.0-r41hc72bb7e_1.tar.bz2”h0Œ@bfbf04444b2ea7be0837f1ac2bf940225c6fdcdb1fd4f9eaea4eb9625c3c9403”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest >=0.6.13”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.23.0”Œr-r.utils >=2.8.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØÐw¯ÞffhEJþï hFˆubh)”}”(hŒr-acs”h#Œ2.1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-acs-2.1.4-r41hc72bb7e_1.tar.bz2”h+Œ f08a505e721e0eeea49e953c170ff585”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-acs-2.1.4-r41hc72bb7e_1.tar.bz2”h0Œ@565e3c13121b85a5cec2653769183b2f5cefa8e42c659ee149f0244f00aa8ff9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œr-plyr”Œ	r-stringr”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑÅ‹C–hEJë	 hFˆubh)”}”(hŒr-atsa”h#Œ3.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-atsa-3.1.2-r41hc72bb7e_1.tar.bz2”h+Œ 0c956ec6a15fbd04d21221a6ae46c01b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-atsa-3.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@04c47c54bb73a212b42c559bf27c912d9621abda4db86317e727d98a186bc448”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ©¨¿²hEJ«) hFˆubh)”}”(hŒlibsoup-devel-cos6-x86_64”h#Œ2.34.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libsoup-devel-cos6-x86_64-2.34.3-ha826a6f_1103.tar.bz2”h+Œ 6327dd846dd0b4630fe310cbdff5b803”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos6-x86_64-2.34.3-ha826a6f_1103.tar.bz2”h0Œ@0ea5d2671ba4a5b1a8860f54a04e47095b722dcb937e4af0201a019b57c17251”h2NhNh3Œ(glib2-devel-cos6-x86_64 >=2.27.90 *_1103”Œ#libsoup-cos6-x86_64 ==2.34.3 *_1103”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ|jhEJzL hFˆubh)”}”(hŒmesa-libgl-cos7-aarch64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ4mesa-libgl-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ 0ccbc5b9d67f693af922bfbe0ee8e4ce”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@46c44af80a575f3e372d96bf80b510128e240648e7d5cc47eb5f1020007fdf77”h2NhNh3(Œ#libdrm-cos7-aarch64 >=2.4.83 *_1103”Œ(libglvnd-glx-cos7-aarch64 >=1.0.1 *_1103”Œ*mesa-libglapi-cos7-aarch64 ==18.3.4 *_1103”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2šEãThEJK hFˆubh)”}”(hŒflask-apispec”h#Œ0.4.2”h%Œpy_0”h'K hhh(h)hŒ flask-apispec-0.4.2-py_0.tar.bz2”h+Œ 8c7de1554b8f471b485515642f9d2251”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/flask-apispec-0.4.2-py_0.tar.bz2”h0Œ@06cfbc3e58b9456633857e1c5ac67d684b727db41aa511a447bc91c64df15886”h2NhNh3(Œapispec >=0.20.0”Œflask >=0.10.1”Œmarshmallow >=2.0.0”Œpython”Œsix >=1.9.0”Œwebargs >=0.18.0”t”h9h?h@ŒMIT”hBŒMIT”hEJGŒ hFˆubh)”}”(hŒpyan3”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pyan3-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2321031e069b9ba5007b59cc3b6a0576”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyan3-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fee6594c7189ab808a9f1f5b4c46eb838950155f69afa5e8febae5a8a9e9e44f”h2NhNh3Œjinja2”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØWÀPÐ  hEM…ªhFˆubh)”}”(hŒlibuuid-cos6-x86_64”h#Œ2.17.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libuuid-cos6-x86_64-2.17.2-h9d98e8f_104.tar.bz2”h+Œ d76d2d475afc1e89e3b0473fe3cb625c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libuuid-cos6-x86_64-2.17.2-h9d98e8f_104.tar.bz2”h0Œ@d3af16b332215895a47d112f4f6ddb0bba0be9aff4392537f6d46c00daca3748”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉyAùÛhEMH4hFˆubh)”}”(hŒargo-models”h#Œ2.4.2”h%Œpy_0”h'K hhh(h)hŒargo-models-2.4.2-py_0.tar.bz2”h+Œ bf36839418018dc92adeb85c84ca8a8e”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/argo-models-2.4.2-py_0.tar.bz2”h0Œ@2f8776a6b5f9c352eeee0ebaa7aa62f363f9f26c5ec7b98397a93747c107c1b9”h2NhNh3Œpython”Œsix”†”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÒFOyº^hEJ hFˆubh)”}”(hŒsixtools”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#sixtools-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 1e6ad331757554a08f938b455a4956ce”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sixtools-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@294976a85ac2dee1ce99942d218ffaea466b3afb2adc9b8cfa328a22d1c00805”h2NhNh3(Œ
databroker”Œ
ipywidgets”Œmatplotlib-base”Œnumpy”Œpandas”Œpims”Œpython >=3.6”Œrixs”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØAÈšŸ¾hEM/7hFˆubh)”}”(hŒmutpy”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ mutpy-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 90b371a1742927e2e76ee3b77f9eab1f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/mutpy-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a057c516733982e0a3f029be09f04224d38d65699fbc8f795980c7c0e7130c20”h2NhNh3(Œastmonkey >=0.2.2”Œjinja2 >=2.7.1”Œpython >=3.6,<3.8”Œpyyaml <=3.11,>=3.10”Œtermcolor >=1.0.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØd½NÙhEM»uhFˆubh)”}”(hŒ
r-invgamma”h#Œ1.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-invgamma-1.1-r40hc72bb7e_1.tar.bz2”h+Œ 53cbf78e7f691f2b8f2c5e8daa8e84d9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-invgamma-1.1-r40hc72bb7e_1.tar.bz2”h0Œ@10d12564be9ecbf040030da730d277c56f6b91378680e7d258f293b379289358”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+—{t¼hEM„hFˆubh)”}”(hŒpango-cos6-x86_64”h#Œ1.28.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.pango-cos6-x86_64-1.28.1-h9b0a68f_1105.tar.bz2”h+Œ 629c68d26e8c5d7b80deba191a7ed6c2”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pango-cos6-x86_64-1.28.1-h9b0a68f_1105.tar.bz2”h0Œ@fc536bff1ea92a3f812249b3f34ae8134116eb07b7efc4745d450a65570fa52c”h2NhNh3(Œ cairo-cos6-x86_64 >=1.7.6 *_1105”Œ#freetype-cos6-x86_64 >=2.1.3 *_1105”Œ!glib2-cos6-x86_64 >=2.17.3 *_1105”Œ"libthai-cos6-x86_64 >=0.1.9 *_1105”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@YÚJ\hEJ„ž hFˆubh)”}”(hŒpciutils-libs-cos7-aarch64”h#Œ3.5.1”h%Œha826a6f_103”h'Kghhh(h)hŒ5pciutils-libs-cos7-aarch64-3.5.1-ha826a6f_103.tar.bz2”h+Œ d463452f4a5ef79e1a364cfab667a30f”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-aarch64-3.5.1-ha826a6f_103.tar.bz2”h0Œ@b9fd727cb7ac9c5fbf0e18e1ab9c5a0a7b4773cbd1d810aa48e44fe20e3bcbd0”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×ÆzúZMÓhEMÕ™hFˆubh)”}”(hŒr-saver”h#Œ1.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-saver-1.1.2-r41hc72bb7e_1.tar.bz2”h+Œ e13fb2ac9ecd41600fdbb23f3f7fffbd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-saver-1.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@1ad558fcee7fd672e41a454b460d8c3b59deca1478cc611dd719a5af79741443”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œ	r-foreach”Œr-glmnet”Œr-iterators”Œr-matrix”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+Gñ™šhEJ$Ø@ hFˆubh)”}”(hŒr-ipmisc”h#Œ6.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-ipmisc-6.0.2-r41hc72bb7e_1.tar.bz2”h+Œ c3f692b895a0953a21367ac82c438f78”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipmisc-6.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@e51c8424478eab6af3d620e21840a04e08bb5a59d190cc08f19c066e36e0e9a4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-dplyr”Œ	r-forcats”Œr-rlang”Œr-rstudioapi”Œr-tibble”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐÎZ"\hEMÉßhFˆubh)”}”(hŒr-evmix”h#Œ2.12”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-evmix-2.12-r36h6115d3f_1.tar.bz2”h+Œ 1c27df2a1f4a31bfd92d338e1ebe4001”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-evmix-2.12-r36h6115d3f_1.tar.bz2”h0Œ@7bfaccb0ac50c9eda7a6eff279e977a060bdd77f9f93645c8a3b02cf5f939d2e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-gsl”Œr-mass”Œ	r-sparsem”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬Ò bhEJÖ€K hFˆubh)”}”(hŒpartsgenieclient”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+partsgenieclient-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ e3801630d56a90325d8ae00ef312cadc”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/partsgenieclient-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@88bdb89e33b124ad2ff439ae25e919035d5c97fc030f4bb0e127faab5f0f9a3b”h2NhNh3(Œpython 3.7.*”Œrequests”Œsbml2sbol >=0.1.13”Œsseclient 0.0.22.*”t”h9h?h@ŒMIT”hBŒMIT”hDGAØo1$ÝhEMœMhFˆubh)”}”(hŒadagio”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!adagio-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ a3aac791912add08df7a9e749216c76f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/adagio-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@f9b88b3cf97ad828c542ceae658994f98deb2042aa5bcf2920939b47451ae142”h2NhNh3Œpython >=3.6”Œtriad”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØµ°êg¾whEM\khFˆubh)”}”(hŒ!xorg-x11-util-macros-cos7-ppc64le”h#Œ1.19.0”h%Œha826a6f_103”h'Kghhh(h)hŒ=xorg-x11-util-macros-cos7-ppc64le-1.19.0-ha826a6f_103.tar.bz2”h+Œ fd915557d4822845909d6f47a420211c”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-ppc64le-1.19.0-ha826a6f_103.tar.bz2”h0Œ@1a068a959f982d25dee3273b4630d3ea7492bc01624a1d4b25617a02013f6274”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/,ýôhEM¯ªhFˆubh)”}”(hŒseamm-dashboard-client”h#Œ2022.9.1”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ4seamm-dashboard-client-2022.9.1-pyh1a96a4e_0.tar.bz2”h+Œ c06687c64097effc45db72d6528b44f4”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/seamm-dashboard-client-2022.9.1-pyh1a96a4e_0.tar.bz2”h0Œ@0e9e671cb321740aecaf8b1eb42b28b9710e64e9c387cdc348108c263c11d6b5”h2NhNh3Œpython >=3.6”Œrequests”Œrequests-toolbelt”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÆN3gKÇhEM&5hFˆubh)”}”(hŒr-misc3d”h#Œ0.9_1”h%Œr41ha770c72_1”h'Khhh(h)hŒ$r-misc3d-0.9_1-r41ha770c72_1.tar.bz2”h+Œ 39fd96ebb2361aca86a19acf6a643627”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-misc3d-0.9_1-r41ha770c72_1.tar.bz2”h0Œ@68f9eab51fe30a294d2f22f948538ae643ba3dcfcf403c1bc554c5fe5c1ad6c4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØÐP«C¥ãhEJOþ hFˆubh)”}”(hŒ
carto-auth”h#Œ0.1.0b4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'carto-auth-0.1.0b4-pyhd8ed1ab_0.tar.bz2”h+Œ 4102fe1c627f1fdee018b376c4aa1a61”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/carto-auth-0.1.0b4-pyhd8ed1ab_0.tar.bz2”h0Œ@4392cc39b1e49488bd19473d92a98e4129c8bec220dcae4a759ce878d92538e5”h2NhNh3Œpython >=3.7”Œrequests”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÔ³‰œ¬hEMZ0hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ&r-abind-1.4_5-r41hc72bb7e_1004.tar.bz2”h+Œ 831186670e5786df30f8ddeb5a623c5a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r41hc72bb7e_1004.tar.bz2”h0Œ@f9ee7b288962935fff488a03f28f8df4ddee5d2a2d4b72a3ccbac28609f28da3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGAØÐ5º’ñªhEJº5 hFˆubh)”}”(hŒr-rationalexp”h#Œ0.2.2”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ)r-rationalexp-0.2.2-r41hc72bb7e_3.tar.bz2”h+Œ 7fc946cdb1d5c5de46d4a766b71aa550”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rationalexp-0.2.2-r41hc72bb7e_3.tar.bz2”h0Œ@93265643c7bca1c0d22923020834fae28c747f032f48076f53f955091c4c9c00”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-snowfall”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ(Q›×
hEJÞ. hFˆubh)”}”(hŒisoweek”h#Œ1.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"isoweek-1.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 06c07831886574528cba40c50c722475”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/isoweek-1.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@86d79c11c847c877f788e6f324024af14ea7691e1d50d6f112e29b4e9fec8938”h2NhNh3Œpython >=2.6”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÏ+¹ë…hEMa#hFˆubh)”}”(hŒdjango-bootstrap4”h#Œ3.0.1”h%Œpyh239f2a4_0”h'K hhh(h)hŒ,django-bootstrap4-3.0.1-pyh239f2a4_0.tar.bz2”h+Œ 29b8804bb5109efb985e06d9e476bcf2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/django-bootstrap4-3.0.1-pyh239f2a4_0.tar.bz2”h0Œ@55418df4ffb68ffe2f9d79e1f186a4d568ce5fcfab131d71f16cbca0a9276869”h2NhNh3(Œbeautifulsoup4 >=4.8.0”Œdjango >=2.2”Œimportlib-metadata <3”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ\oÛ×
hEM«xhFˆubh)”}”(hŒxeus-python-shell-raw”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0xeus-python-shell-raw-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ b0d919a3fda2b495baaad6c997a5f7fd”h.Œ^https://conda.anaconda.org/conda-forge/noarch/xeus-python-shell-raw-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e9990de977f649e555e85f1e4adb239666427e0c7f9cefa3bb9fb66df9134f22”h2NhNh3Œpython >=3.6”…”h6Œdebugpy >=1.4,<2”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÁ%ž‡+hEM¨+hFˆubh)”}”(hŒscraps”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!scraps-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8feaf1382a5fe81676d1b0a0ce4fe45e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/scraps-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@bac61d203b524a43a3aed3b17c063af1d2bb16d77fc477831cadd38fcffa25ab”h2NhNh3(Œemcee >=2.2.1”Œlmfit >=0.9.5”Œmatplotlib-base >=2.0”Œnumpy >=1.5”Œpandas >=0.18”Œpython >=2.7”Œscipy >=0.14”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ’ve‹…hEMñ°hFˆubh)”}”(hŒartificial-adversary”h#Œ1.1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ/artificial-adversary-1.1.1-pyh9f0ad1d_0.tar.bz2”h+Œ 0cdca7d2aebaeae4406b3740d32436dd”h.Œ]https://conda.anaconda.org/conda-forge/noarch/artificial-adversary-1.1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@f4b14904047c2e1a7b4190614644c0e1517ae990f3fc970b2101df6a46a41717”h2NhNh3(Œnltk”Œpandas”Œpython”Œtextblob”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Ç¹ù~¸RhEMÉhFˆubh)”}”(hŒr-weatherdata”h#Œ0.4.1”h%Œr42ha770c72_1003”h'Mëhhh(h)hŒ,r-weatherdata-0.4.1-r42ha770c72_1003.tar.bz2”h+Œ bbc86b00292c715c10a604f6149e1f1e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-weatherdata-0.4.1-r42ha770c72_1003.tar.bz2”h0Œ@6e6f22f3434a25a993b94e55b858813b2500ca8612dcd668bd464108d2c96986”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-plyr”†”h9hºh@ŒGPL”hBŒGPL”hDGAØÑËÈ•VhEJÉm hFˆubh)”}”(hŒclassixclustering”h#Œ0.7.7”h%Œpyh2253087_0”h'K hhh(h)hŒ,classixclustering-0.7.7-pyh2253087_0.tar.bz2”h+Œ 92ebeab337faa43ebd7b6cb3735a0f2b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/classixclustering-0.7.7-pyh2253087_0.tar.bz2”h0Œ@773f2016f664bf8e1dc1cfcbd618b704493a01f95e3590b7ab4d19cce5da59f8”h2NhNh3(Œmatplotlib-base”Œnumpy >=1.21.6,<2.0a0”Œpandas”Œpython >=3.6”Œrequests”Œscipy 1.7.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÜ²D;…hEJš hFˆubh)”}”(hŒpango-devel-cos6-x86_64”h#Œ1.28.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3pango-devel-cos6-x86_64-1.28.1-h9d98e8f_104.tar.bz2”h+Œ de774a9f47dd4af7c3b05d8cc28b02c7”h.Œahttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos6-x86_64-1.28.1-h9d98e8f_104.tar.bz2”h0Œ@0fdbbdf2572fd31e975e063b2ab67dd419b13f56ad4d5138d3b7e3fae6cf56a5”h2NhNh3(Œ%cairo-devel-cos6-x86_64 >=1.7.6 *_104”Œ(fontconfig-devel-cos6-x86_64 >=2.6 *_104”Œ(freetype-devel-cos6-x86_64 >=2.1.3 *_104”Œ&glib2-devel-cos6-x86_64 >=2.17.3 *_104”Œ pango-cos6-x86_64 ==1.28.1 *_104”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}~«hEJžy hFˆubh)”}”(hŒcairo-devel-cos7-aarch64”h#Œ1.15.12”h%Œha826a6f_1103”h'MOhhh(h)hŒ6cairo-devel-cos7-aarch64-1.15.12-ha826a6f_1103.tar.bz2”h+Œ 5b55beeb2324cf49af7ac49e6be7ffc7”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-aarch64-1.15.12-ha826a6f_1103.tar.bz2”h0Œ@746c7d5b0db1049009bac6359dd9fdfa43f84e8d0045ca1d7f4ca3ecc6d47ae8”h2NhNh3Œ#cairo-cos7-aarch64 ==1.15.12 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Æ0ÙõÃhEJ–º hFˆubh)”}”(hŒ	r-mockery”h#Œ0.4.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-mockery-0.4.3-r41hc72bb7e_0.tar.bz2”h+Œ b3e72e4332b976caac8b020ef83dd467”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mockery-0.4.3-r41hc72bb7e_0.tar.bz2”h0Œ@c77ee2975c93945b75f4dbdb69e088ba775af08cfd31330978c63b39d6a8a49f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-testthat”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ„–0Ö{hEMlÃhFˆubh)”}”(hŒr-climate4r.indices”h#Œ0.2.0”h%Œr41ha770c72_1”h'Khhh(h)hŒ/r-climate4r.indices-0.2.0-r41ha770c72_1.tar.bz2”h+Œ 4c027029792c66b979bbdc0c8cc2710a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-climate4r.indices-0.2.0-r41ha770c72_1.tar.bz2”h0Œ@d2dedccaae71f32a116c34fc4022a2e3216f741d06e8dd1a680b39d7fe9b41d2”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œ
r-convertr”Œ
r-magrittr”Œr-transformer >=1.5.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯N “uhEJ8”’ hFˆubh)”}”(hŒ
r-inctools”h#Œ1.0.15”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-inctools-1.0.15-r35h6115d3f_0.tar.bz2”h+Œ 0bc5331952f680b9a685c3c81f6880a2”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-inctools-1.0.15-r35h6115d3f_0.tar.bz2”h0Œ@fa0d783aa6e35aaf83bbe35ebd0f51f119baa3ec028ada501909c86ced364eea”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-binom”Œ
r-cubature”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glm2”Œ
r-magrittr”Œr-plyr”Œr-pracma”Œr-rlang”Œr-tibble”Œ
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r-treebase”h#Œ0.1.4”h%Œr40h6115d3f_0”h'K hhh(h)hŒ&r-treebase-0.1.4-r40h6115d3f_0.tar.bz2”h+Œ 784515ccb321489b5bef8512118847c7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-treebase-0.1.4-r40h6115d3f_0.tar.bz2”h0Œ@ee916ee9268d6f68a6bbc69dfb5737f274da6bcebefe1c159a4cb05e582d9aa6”h2NhNh3(Œr-ape”Œr-base >=4.0,<4.1.0a0”Œr-httr”Œr-rcurl”Œr-xml”t”h9hºh@ŒCC0-1.0”hBŒCC”hDGA×ÆØû÷ÏhEJœzB hFˆubh)”}”(hŒr-lmds”h#Œ0.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-lmds-0.1.0-r36h6115d3f_1.tar.bz2”h+Œ 3621ca080ae9153b7edc203509553acb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmds-0.1.0-r36h6115d3f_1.tar.bz2”h0Œ@0654cef86c75cd4a8792c0dac1c1ce6ac8d347ad71ee4fe7e268ff6658369d43”h2NhNh3(Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œr-dynutils >=1.0.3”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬7ßl‹hEJëÕ hFˆubh)”}”(hŒr-ncbit”h#Œ2013.03.29.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-ncbit-2013.03.29.1-r41hc72bb7e_0.tar.bz2”h+Œ 9ceca99553dd1eece1412e2486fd5f4d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ncbit-2013.03.29.1-r41hc72bb7e_0.tar.bz2”h0Œ@247037e9ad5c0db9a54c9ad291ba58a0b086de0b8856b2815b9505400518d544”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ­ûª×l‹hEJœ˜ hFˆubh)”}”(hŒpython-slugify”h#Œ4.0.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)python-slugify-4.0.1-pyh9f0ad1d_0.tar.bz2”h+Œ c97da61221ef1dce6a0cb5a1d36f0019”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python-slugify-4.0.1-pyh9f0ad1d_0.tar.bz2”h0Œ@255c0ae2011e9c58327f053d42b0587c7bcd16e141e8542c8df20d671333f507”h2NhNh3Œpython”Œtext-unidecode >=1.3”Œunidecode >=1.1.1”‡”h6Œ
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h1341992_0”h'K hhh(h)hŒ,libibcm-cos6-x86_64-1.0.5-h1341992_0.tar.bz2”h+Œ 27e2d669cc49fa7cf42b6145b80e164f”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libibcm-cos6-x86_64-1.0.5-h1341992_0.tar.bz2”h0Œ@de5521d483a9461225d2472489ae90ea90f9d48b26b8bc742a5b9e4c2f8f3346”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×z²d3SøhEMõQhFˆubh)”}”(hŒr-magicaxis”h#Œ2.2.14”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-magicaxis-2.2.14-r41hc72bb7e_1.tar.bz2”h+Œ ff654d4b9c8e87948271773677a067f5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-magicaxis-2.2.14-r41hc72bb7e_1.tar.bz2”h0Œ@c0a266769133972927557acfb7c895ddb3e001cef16a3bc68d15ccf4f19eccd3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-celestial >=1.4.1”Œ	r-mapproj”Œr-mass”Œ	r-plotrix”Œr-rcolorbrewer”Œr-sm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒSˆÌ(öhEJ`<; hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyh76afe40_0”h'K hhh(h)hŒ+jupyterlab_email-0.2.4-pyh76afe40_0.tar.bz2”h+Œ 87549b9bb8d0309e55104e7c6ee8fd6d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyh76afe40_0.tar.bz2”h0Œ@3ebc2c8eea8f9d797542572074bcb443201784bdc157bfa767e3601741a06fe3”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7,<=3.9”t”h9h?h@Œ
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setuptools”Œsix >=1.11.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ£8J¢ñªhEJ|… hFˆubh)”}”(hŒr-dmwr2”h#Œ0.0.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ#r-dmwr2-0.0.2-r36hc72bb7e_0.tar.bz2”h+Œ 2cc636376e761a793f38fc0a85bcc975”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dmwr2-0.0.2-r36hc72bb7e_0.tar.bz2”h0Œ@1dd919c09875f07a2531e7035ce1d8e4a103bf523be5f01906c62f51dbed5638”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-class >=7.3_14”Œr-dbi >=0.5”Œr-dplyr >=0.4.3”Œr-quantmod >=0.4_5”Œr-readr >=1.0.0”Œr-rpart >=4.1_10”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ.z3®$ÝhEJ¿»0 hFˆubh)”}”(hŒrb-aws-sdk-core”h#Œ2.11.348”h%Œ
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setuptools”Œsix >=1.9.0”Œwebencodings”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ<ºg\)hEJ…½ hFˆubh)”}”(hŒr-oner”h#Œ2.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ r-oner-2.2-r40hc72bb7e_0.tar.bz2”h+Œ 343ce70fc6ced9c0510e1c250458defc”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-oner-2.2-r40hc72bb7e_0.tar.bz2”h0Œ@8375ee5c413c8e8d61fb01c21b4938cb488a63aed203e2627344e01926b12540”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ¨:×øbNhEJ	Á hFˆubh)”}”(hŒr-rosm”h#Œ0.2.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-rosm-0.2.6-r40hc72bb7e_0.tar.bz2”h+Œ 1b27a74af9438fc3f0d248d9ae703dd9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rosm-0.2.6-r40hc72bb7e_0.tar.bz2”h0Œ@3411c0913c2bdd97d57fd9dd3d06b552f2758346e0976ec737b9bbcb3fc3682a”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-curl”Œr-jpeg”Œr-plyr”Œr-png”Œr-prettymapr”Œr-rgdal”Œr-rjson”Œr-sp”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¨…ä1hEJ˜e hFˆubh)”}”(hŒpyjwt”h#Œ1.7.1”h%Œpy_0”h'K hhh(h)hŒpyjwt-1.7.1-py_0.tar.bz2”h+Œ 617ab4f8c5e481fdeabe55d7a1e14798”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pyjwt-1.7.1-py_0.tar.bz2”h0Œ@b6b167309b0eda25660c9040cd5d198dc057169454d63a6c6ee1b573238ef2db”h2NhNh3Œcryptography >=1.4”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×	º‰ÚáHhEMäEhFˆubh)”}”(hŒcalphy”h#Œ1.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!calphy-1.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 59c93d4a3601b382f3bf92b442c45f4a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/calphy-1.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@4ff4f9213a64ad12d7a9175fc9b65d760b576d563f65f2f107ee30eab3c02579”h2NhNh3(Œlammps”Œmatplotlib-base”Œ	mendeleev”Œmpi4py”Œnumpy”Œpylammpsmpi”Œpyscal”Œpytest”Œpython >=3.6”Œpyyaml”Œtqdm”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØÓYÌÖ{hEJ| hFˆubh)”}”(hŒmesa-libgl-devel-cos7-x86_64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ9mesa-libgl-devel-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ f322f06c4599b352f928fda7464785e0”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@a5a3e94067e4d1b322a0572f761ab9490e9515358bb53e0b508437e0f4e358c8”h2NhNh3Œ*mesa-khr-devel-cos7-x86_64 ==18.3.4 *_1103”Œ&mesa-libgl-cos7-x86_64 ==18.3.4 *_1103”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3;dZhEJŸ‰ hFˆubh)”}”(hŒhkdf”h#Œ0.0.3”h%Œpy_2”h'Khhh(h)hŒhkdf-0.0.3-py_2.tar.bz2”h+Œ 7afc17e8b541c10b4c210290fc097449”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/hkdf-0.0.3-py_2.tar.bz2”h0Œ@e73583d875f9edfa148a7df898dda878f5f1d1bd800e33427e4a0746a1ebc3b2”h2NhNh3Œpython”…”h9h?h@ŒBSD-2”hBŒBSD”hDGA×ŠÄ'·ÎÙhEM×hFˆubh)”}”(hŒ
r-ic.infer”h#Œ1.1_6”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ)r-ic.infer-1.1_6-r41hc72bb7e_1002.tar.bz2”h+Œ 8294098e93935795e99457efb8ad3e0a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ic.infer-1.1_6-r41hc72bb7e_1002.tar.bz2”h0Œ@71dd1d141ac83e971ace823b0cc06ee2ed8caebbce7acbde32bfbbf9f3a8787b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œ
r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+×–½VhEJä³ hFˆubh)”}”(hŒgevent-websocket”h#Œ0.10.1”h%Œpy_0”h'K hhh(h)hŒ$gevent-websocket-0.10.1-py_0.tar.bz2”h+Œ 25b4b60b6ea50368cd90b75b4d00c711”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/gevent-websocket-0.10.1-py_0.tar.bz2”h0Œ@4d8edcacf879eaa3be559c08dd6916907270701ced18f290fba622f992d00c07”h2NhNh3Œgevent”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×-åZáHhEM€HhFˆubh)”}”(hŒlibibverbs-cos6-x86_64”h#Œ1.1.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ2libibverbs-cos6-x86_64-1.1.8-ha826a6f_1103.tar.bz2”h+Œ a1eb6a074ad8c1771e12c3a1bfbfeeac”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos6-x86_64-1.1.8-ha826a6f_1103.tar.bz2”h0Œ@69cf183e45185a053f66407cdfebf695ca4693df1cb4d45f26a8ea9908d15f3c”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Æ0:ú~úhEMrÒhFˆubh)”}”(hŒ	incognita”h#Œ0.28.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%incognita-0.28.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9fbd828f6a085194b8135e5f8be95457”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/incognita-0.28.0-pyhd8ed1ab_0.tar.bz2”h0Œ@777b31882ee8be78336aba97858cc3b128b48e92871ff5ba96cfee39bc21f28a”h2NhNh3(Œbranca”Œfolium”Œgeopandas >=0.8”Œnumpy”Œpandas”Œpyarrow”Œpygeos”Œpython >=3.9”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ,qÏüjhEMmŽhFˆubh)”}”(hŒxrviz”h#Œ0.1.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ xrviz-0.1.4-pyhd8ed1ab_2.tar.bz2”h+Œ 69d8ee9abd5e90f90f8c2fe9eed2a85c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/xrviz-0.1.4-pyhd8ed1ab_2.tar.bz2”h0Œ@4934c8ff01adf030555ba32d39fcced35e42f18e6a797501aa1d2e912ff6006d”h2NhNh3(Œcartopy”Œ
datashader”Œ	holoviews”Œhvplot”Œmetpy”Œnetcdf4”Œpanel >=0.7.0”Œpython >=3.6”Œxarray >=0.14.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ_”*áHhEJÄÀš hFˆubh)”}”(hŒ
r-medrxivr”h#Œ0.0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-medrxivr-0.0.5-r41hc72bb7e_0.tar.bz2”h+Œ 9a2f98b72ac6a18612d7415f8881fc67”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-medrxivr-0.0.5-r41hc72bb7e_0.tar.bz2”h0Œ@f4c8fa006dd1b7d29293585dabf72910680e10b5a394a289b61edc5aa4e48869”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bib2df”Œr-curl”Œr-data.table”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ
r-progress”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-vroom”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¢JÌúñªhEJá¥ hFˆubh)”}”(hŒ	r-simcomp”h#Œ3.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-simcomp-3.3-r42hc72bb7e_2.tar.bz2”h+Œ ef8bcd09cef55eaff6b1d02cdc2fb6bf”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-simcomp-3.3-r42hc72bb7e_2.tar.bz2”h0Œ@3e0226c2500a1189d3153630e0f74434d49db5c18c265cd290347c98826f020c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-mratios”Œ
r-multcomp”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ›€7|îhEJ% hFˆubh)”}”(hŒr-spthin”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-spthin-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 40b5f71e9e6fcd55dd5852ac48b524f6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spthin-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@8dff2d9aa94ece117a4e5eb63d85fa93c50a583f5967dcc537d2e4ebe4b8e753”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fields”Œr-knitr”Œr-spam”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ1" Ê=qhEJåÕ hFˆubh)”}”(hŒpyls-spyder”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pyls-spyder-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ f9c9b073cc044da45353132f142da2f2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pyls-spyder-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@62fb54d50d224b2513881ecb9f66a658484218f16e96dd6d50e45d424d0ebbc3”h2NhNh3Œpython >=3.6”Œpython-lsp-server >=1.0.1”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ"Ø¶C…hEM‡&hFˆubh)”}”(hŒ	unittest2”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒunittest2-1.1.0-py_0.tar.bz2”h+Œ 504cc35ff8221d810cdeb49f50c5accc”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/unittest2-1.1.0-py_0.tar.bz2”h0Œ@ede3f7a5847c4010070bbac0d1f5a252557b2a8c74fbc7b7c0a7cae1523818dc”h2NhNh3Œ	python <3”Œ	six >=1.4”Œ
traceback2”‡”h9h?h@Œ
PSF 2, BSD”hDGAÖ¾¦@çmhEJ$ hFˆubh)”}”(hŒ	r-cnogpro”h#Œ1.1”h%Œr42ha770c72_1003”h'Mëhhh(h)hŒ&r-cnogpro-1.1-r42ha770c72_1003.tar.bz2”h+Œ 9ba9e40cfe5c4f91305e6db695ec7508”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cnogpro-1.1-r42ha770c72_1003.tar.bz2”h0Œ@12f74c206f0531bca5a427f834038de48a7e01dfed13f091e405bdc8aa5ad507”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-seqinr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ”dIºhEJ¨¿ hFˆubh)”}”(hŒr-phylogram”h#Œ2.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-phylogram-2.1.0-r40h6115d3f_1.tar.bz2”h+Œ c3abe71b312a73bcde6bcf4b75711382”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-phylogram-2.1.0-r40h6115d3f_1.tar.bz2”h0Œ@ca940865f2c43ec6e27154111a56c17db0327254ba9b4fccc84447675571c382”h2NhNh3Œr-ape >=4.0”Œr-base >=4.0,<4.1.0a0”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯‹×
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Apache-2.0”hBŒAPACHE”hDGAØ’û®“"ÑhEMb5hFˆubh)”}”(hŒr-showimage”h#Œ1.0.0”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ*r-showimage-1.0.0-r42hc72bb7e_1003.tar.bz2”h+Œ 6c4ef4571f7da8fc8e4165aec27c256f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-showimage-1.0.0-r42hc72bb7e_1003.tar.bz2”h0Œ@a1bf694beb558fa9b340cc8f39a61fd5e8cffd06a9715a08e15326b78f347b5b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-png”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÑ/+hEMÁthFˆubh)”}”(hŒpysentiment2”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pysentiment2-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 47b36e237af38d52a2821abba992f1a3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pysentiment2-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1bd750872e88141c03fc1e9ae7c9d29086441aef4a4f82ebe9575117abc55547”h2NhNh3Œ
nltk >=2.0”Œpandas”Œpython >=3.6”‡”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGA×÷ëIõp¤hEJÐû hFˆubh)”}”(hŒ
r-progress”h#Œ1.2.2”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ&r-progress-1.2.2-r40hc72bb7e_2.tar.bz2”h+Œ d7c0a5d9d502de6ef05a1376c38600c2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progress-1.2.2-r40hc72bb7e_2.tar.bz2”h0Œ@aa57f0f200d1d8d7c6c9a397ba0976601e50fe545eb81a999c370c59d19e9e8d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-hms”Œr-prettyunits”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+Fxxr°hEJšk hFˆubh)”}”(hŒ	yaqd-scpi”h#Œ	2021.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(yaqd-scpi-2021.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ aa0fea5c312d19d9aa7e9b2420045dc3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/yaqd-scpi-2021.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a565cae1837b705f8f6c615049dbeb98b2e5101378529449a4923ed530a37638”h2NhNh3(Œflit”Œpython >=3.7”Œpyvisa”Œ	pyvisa-py”Œyaqd-core >=2020.10.0”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ|Âç;dhEM&=hFˆubh)”}”(hŒnr.fs”h#Œ1.6.3”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ nr.fs-1.6.3-pyhd3deb0d_0.tar.bz2”h+Œ 3ad3e593e5e16e9b31a2a0a37c525455”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/nr.fs-1.6.3-pyhd3deb0d_0.tar.bz2”h0Œ@1b324a329c1260c9d4c6f7bef0eb3e802f428a106d782d3e5b095d33974afa8d”h2NhNh3Œpython”Œsix >=1.11.0,<2.0.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØBu ÕhEMÔ4hFˆubh)”}”(hŒpint”h#Œ0.20.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pint-0.20.1-pyhd8ed1ab_0.tar.bz2”h+Œ 452ea302351c36e6c21f1ed5872d6cbf”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pint-0.20.1-pyhd8ed1ab_0.tar.bz2”h0Œ@fa1ec4c6e41be382bec6cd6186ec93d83ced4d6073ea20c4b8f2d9ad4eb7479c”h2NhNh3Œpython >=3.8”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÖ«>Iº^hEJÑ= hFˆubh)”}”(hŒlibbonobo-cos7-aarch64”h#Œ2.32.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libbonobo-cos7-aarch64-2.32.1-h9d98e8f_1104.tar.bz2”h+Œ 4f90ec5d5a772726a0d8af6c9982328c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-aarch64-2.32.1-h9d98e8f_1104.tar.bz2”h0Œ@40d3cf7fcfc9d64c3d034fd31d00b51a92f913a7bbdadfb1afb2617cbfb178a4”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Éy˜“uhEJ¹+ hFˆubh)”}”(hŒ
flask-oidc”h#Œ1.4.0”h%Œpy_0”h'K hhh(h)hŒflask-oidc-1.4.0-py_0.tar.bz2”h+Œ 2380a98693b964b30604d3d3710f5162”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/flask-oidc-1.4.0-py_0.tar.bz2”h0Œ@2c9fce3a5b424cff47de6d23c3d51d64abb512c6a736ea349cc3bd5d73077ee8”h2NhNh3(Œflask”Œitsdangerous”Œoauth2client”Œpython”Œsix”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×IÒúÎÙhEMÐ@hFˆubh)”}”(hŒfontconfig-cos7-aarch64”h#Œ2.13.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ4fontconfig-cos7-aarch64-2.13.0-ha826a6f_1103.tar.bz2”h+Œ 58144ec994b291fd4f7a7f33bdfbf1ae”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-cos7-aarch64-2.13.0-ha826a6f_1103.tar.bz2”h0Œ@07e9993f865473400e2bd8765f69c8de25ba1acc973bb15b95e36e4869d67b79”h2NhNh3Œ"freetype-cos7-aarch64 >=2.8 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×Æ1tLÌÍhEJ3Õ hFˆubh)”}”(hŒ	r-attempt”h#Œ0.3.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-attempt-0.3.1-r35h6115d3f_0.tar.bz2”h+Œ b8fdc20b190afc22c39550dc04dfdc45”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-attempt-0.3.1-r35h6115d3f_0.tar.bz2”h0Œ@3a6217e7e1ceed564ddfface1cfbed03fd32adddb93b9c3f33ef9d0f20087985”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rlang”†”h9hºh@ŒMIT”hBŒMIT”hDGA×«ÍB	7LhEJÈÁ hFˆubh)”}”(hŒpyasn1-modules”h#Œ0.2.7”h%Œpy_0”h'K hhh(h)hŒ!pyasn1-modules-0.2.7-py_0.tar.bz2”h+Œ ad1e886d09700b2304975335f714bd9c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyasn1-modules-0.2.7-py_0.tar.bz2”h0Œ@21f5d8ebf36ad2841028b7358b6b316441493d923045156e9c0e07eb62780e44”h2NhNh3Œpyasn1 >=0.4.6,<0.5.0”Œpython”†”h9h?h@ŒBSD 2-Clause”hBŒBSD”hDGA×g³óë¥ãhEM¡ïhFˆubh)”}”(hŒ	nltk_data”h#Œ
2019.07.04”h%j3G h'K hhh(h)hŒnltk_data-2019.07.04-0.tar.bz2”h+Œ 278dac7a8878a21c9279083b5a90386b”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/nltk_data-2019.07.04-0.tar.bz2”h0Œ@9342ff0a3de30dbb54591108ef26437fe9206f379875502b2400c505f49ca313”h2NhNh3Œnltk >=3.4.4”Œpython”†”h9hºh@ŒVarious”hDGA×RÏ	xÕhEJ1ÃhFˆubh)”}”(hŒ
r-beanplot”h#Œ1.3.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ&r-beanplot-1.3.1-r40ha770c72_0.tar.bz2”h+Œ 1cf0360a659c491e71b0358329b9ec2e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-beanplot-1.3.1-r40ha770c72_0.tar.bz2”h0Œ@2e2b7e99d38d26c19e5795f45c28de3cecb87a8394f9cd38ec646e17b83076b5”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ”UßÎÙhEJ> hFˆubh)”}”(hŒ	pyparsing”h#Œ2.4.7”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$pyparsing-2.4.7-pyhd8ed1ab_1.tar.bz2”h+Œ 49cdb8bb03aab9dd1e9e1b30ee2e970c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyparsing-2.4.7-pyhd8ed1ab_1.tar.bz2”h0Œ@43d7385e81813c3e7cef8f45f48165fc2d10c09a688d5971232845f7f0b9f178”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ^yùÛhEM'ñhFˆubh)”}”(hŒ
r-nomclust”h#Œ2.6.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-nomclust-2.6.2-r42hc72bb7e_0.tar.bz2”h+Œ 65c9cc94bbf707b6cbbc98f8377c93e9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-nomclust-2.6.2-r42hc72bb7e_0.tar.bz2”h0Œ@d7bfd74e5b6183daef066b87c0f4bd9988aaf6aeca33e35e5d532d27b59cfeb9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œr-plyr”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÚZ¬<ýôhEJr hFˆubh)”}”(hŒr-neuralnet”h#Œ1.44.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-neuralnet-1.44.2-r41hc72bb7e_2.tar.bz2”h+Œ c82f5c284a8ac877d6f316ef35c32a49”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-neuralnet-1.44.2-r41hc72bb7e_2.tar.bz2”h0Œ@8c6e374e4d25ec4a7597a0225851a707ff4530a07a52241c6eca70f029c415a3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-deriv”Œr-mass”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+dîùÛhEJ] hFˆubh)”}”(hŒbokeh”h#Œ2.4.3”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ bokeh-2.4.3-pyhd8ed1ab_3.tar.bz2”h+Œ e4c6e6d99add99cede5328d811cacb21”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/bokeh-2.4.3-pyhd8ed1ab_3.tar.bz2”h0Œ@f37e33fb11ae76ff07ce726a3dbdf4cd26ffff1b52c126d2d2d136669d6b919f”h2NhNh3(Œjinja2 >=2.9”Œnumpy >=1.11.3”Œpackaging >=16.8”Œpillow >=7.1.0”Œpython >=3.7”Œpyyaml >=3.10”Œtornado >=5.1”Œtyping_extensions >=3.10.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¾¢´xbhEJù¸Ô hFˆubh)”}”(hŒ	r-dagitty”h#Œ0.3_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-dagitty-0.3_1-r42hc72bb7e_1.tar.bz2”h+Œ 4e7b23142e2b1ce1c19ed4b1093b48bb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dagitty-0.3_1-r42hc72bb7e_1.tar.bz2”h0Œ@18d0c7db01a99119e59f4254b124c93d82a6466ff6f90ebe237be03749a6a315”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œ
r-jsonlite”Œr-mass”Œr-v8”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÔ$îÊ=qhEJÌâ hFˆubh)”}”(hŒ	r-arsenal”h#Œ3.6.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-arsenal-3.6.3-r40hc72bb7e_0.tar.bz2”h+Œ 331efe06700ab2ddd772c0ac2ccafcb6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-arsenal-3.6.3-r40hc72bb7e_0.tar.bz2”h0Œ@2ce533b5d80da3f22bea7c822ab0300e0974feb261502187ec87f87c80c4dae4”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-knitr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ.®³™‰7hEJ_* hFˆubh)”}”(hŒlibxfixes-devel-cos7-aarch64”h#Œ5.0.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8libxfixes-devel-cos7-aarch64-5.0.3-hdf0574f_1102.tar.bz2”h+Œ 7eaef50e2acf0a55e5d8754cca666efc”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-aarch64-5.0.3-hdf0574f_1102.tar.bz2”h0Œ@2e664a849e532c85c8e6c9a92c0694a58fbd558a776dba8a1e5f03012a94474e”h2NhNh3Œ%libxfixes-cos7-aarch64 ==5.0.3 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµŽ*¬hEMd#hFˆubh)”}”(hŒr-circstats”h#Œ0.2_6”h%Œr40_1002”h'Mêhhh(h)hŒ"r-circstats-0.2_6-r40_1002.tar.bz2”h+Œ 293c0cc716df7de632326b16bd225023”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-circstats-0.2_6-r40_1002.tar.bz2”h0Œ@ae0d707ff5dc68eaf697aeacfe2c78eace764707b161d080a74f51e720a43941”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×«þ½³ohEJkÍ hFˆubh)”}”(hŒr-islr”h#Œ1.4”h%Œr41h785f33e_0”h'K hhh(h)hŒ r-islr-1.4-r41h785f33e_0.tar.bz2”h+Œ e1e70cc82cd7c684892959396cbe954d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-islr-1.4-r41h785f33e_0.tar.bz2”h0Œ@d2d37e44c08d7163a935cce5b0defe0eb360d778d884a592e0db8755f97bca80”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ™@’
=hEJXM- hFˆubh)”}”(hŒgrove”h#Œ1.7.0”h%Œ2_metapackage”h'Khhh(h)hŒ!grove-1.7.0-2_metapackage.tar.bz2”h+Œ cd7d44635f340676a3e12e12326b34bb”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/grove-1.7.0-2_metapackage.tar.bz2”h0Œ@a1164f0b7bed208863bb6a5320e369ced52d2929d42c8eab6954a0067c30073c”h2NhNh3Œquantum-grove 1.7.0.*”…”h9hºh@Œ
Apache-2.0”hBŒApache”hDGAØl8åµ¸hEMf!hFˆubh)”}”(hŒ
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jupyterlab”h#Œ3.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%jupyterlab-3.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ ff67813a5f7b381eca53e04488840c6e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-3.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@db17219bae1774263b834f49225e4827c7cc05cc4fc91de4d8b7995fe7af69b3”h2NhNh3(Œjinja2 >=2.10”Œjupyter_core”Œjupyter_server >=1.1.0,<2.0.0”Œ jupyterlab_server >=2.0.0,<3.0.0”Œnbclassic >=0.2.0,<0.3.0”Œ	packaging”Œpython >=3.6”Œtornado >=6.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×øú°SSøhEJÉÙY hFˆubh)”}”(hŒr-cgdsr”h#Œ1.3.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-cgdsr-1.3.0-r42hc72bb7e_3.tar.bz2”h+Œ 0afca0bba7fdda1b352ab515cfa4bfb5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cgdsr-1.3.0-r42hc72bb7e_3.tar.bz2”h0Œ@43c954163e163f58681747b6ad362fd5bd12e06adb6b8d7e9f98efb4c0efd5b5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr”Œr-r.methodss3”Œr-r.oo”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÒœ/±©ühEJNl hFˆubh)”}”(hŒneptune-prophet”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*neptune-prophet-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 21396fe26d52445714de8f2b6b9f489a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/neptune-prophet-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4c2029549f6596dcc201e580f11109e7e84587e456742cb84efe868250ec6511”h2NhNh3(Œmatplotlib-base <=3.4.3”Œneptune-client >=0.15.0”Œnumpy”Œpandas”Œprophet >=1.0”Œpython >=3.7”Œscipy”Œstatsmodels”t”h9h?h@Œ
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r-testthat”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ±´ZhEJúÔ hFˆubh)”}”(hŒfilesdb”h#Œ2.2.2”h%Œpy_0”h'K hhh(h)hŒfilesdb-2.2.2-py_0.tar.bz2”h+Œ b9d4aa51af8e4c94018983a5d68f8c79”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/filesdb-2.2.2-py_0.tar.bz2”h0Œ@0efd94bec67b31aa85f947c7676ee34bff94793b6459273c9cb271c94aa8108f”h2NhNh3Œpython >=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÚkRvÈ´hEM6hFˆubh)”}”(hŒrb-jekyll-watch”h#Œ2.2.1”h%Œ
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r-hmeasure”h#Œ1.0_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-hmeasure-1.0_2-r41hc72bb7e_1.tar.bz2”h+Œ 6aa556ccd2bdbaba3d58b578dee54f0d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hmeasure-1.0_2-r41hc72bb7e_1.tar.bz2”h0Œ@0720cf60b468e8354e5a2186b54e2ba78dab3c8c48327da5238b2626df903f73”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ©–ÆVhEJ, hFˆubh)”}”(hŒlibnl-cos7-ppc64le”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ.libnl-cos7-ppc64le-1.1.4-h1795305_1101.tar.bz2”h+Œ 3a39743421e83bcc64b9fa3a215435c6”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-ppc64le-1.1.4-h1795305_1101.tar.bz2”h0Œ@c2f8dc2393b122516e3344f8233aa17d1dc1d8b5893ab74d561fefcf2235c32c”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÄÇzM?}hEJõ\ hFˆubh)”}”(hŒr-medicalrisk”h#Œ1.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ'r-medicalrisk-1.3-r41hc72bb7e_2.tar.bz2”h+Œ fd8f25d629fd0942649af0f88f22c950”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-medicalrisk-1.3-r41hc72bb7e_2.tar.bz2”h0Œ@0ccf493e2681bd4276f503e6ec4e770080d069a4574b37d1700c238fdf465a40”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-hash”Œr-plyr >=1.5”Œ
r-reshape2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒRüc×
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r-survmisc”h#Œ0.5.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-survmisc-0.5.6-r40hc72bb7e_0.tar.bz2”h+Œ c6a76b398d0ecce0392dff1002c526af”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-survmisc-0.5.6-r40hc72bb7e_0.tar.bz2”h0Œ@29231f3cfb8f0b28d9754a37512309ec50e087af07f230356a3b9088c40c878e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œ	r-ggplot2”Œr-gridextra”Œr-km.ci”Œr-kmsurv”Œr-knitr”Œ
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limix-core”h#Œ1.0.2”h%Œpy_2”h'Khhh(h)hŒlimix-core-1.0.2-py_2.tar.bz2”h+Œ 354e844b09be3eb8c85cf6f9121bf622”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/limix-core-1.0.2-py_2.tar.bz2”h0Œ@de0f4f0a331a89430318cacc5c024f68bef1d92703e843485a99f44865e5367e”h2NhNh3(Œnumpy >=1.10”Œpython”Œscipy >=0.18”Œsix”t”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAÖÐÓË¥ãhEMfÈhFˆubh)”}”(hŒstempeg”h#Œ0.1.8”h%Œpy_0”h'K hhh(h)hŒstempeg-0.1.8-py_0.tar.bz2”h+Œ 584a793ddb7c58ef4ebfccd3efe8b021”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/stempeg-0.1.8-py_0.tar.bz2”h0Œ@2949015103ece21ac15b4fef14a27614ef4622fc87996ee1b2ece1c88807b024”h2NhNh3(Œffmpeg”Œnumpy >=1.6”Œpysoundfile >=0.9.0”Œpython”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGA×oq…µ?}hEJíç hFˆubh)”}”(hŒ xcb-util-renderutil-cos7-aarch64”h#Œ0.3.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<xcb-util-renderutil-cos7-aarch64-0.3.9-h9b0a68f_1105.tar.bz2”h+Œ af562378c6cb93b360b15de67c07ea81”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-cos7-aarch64-0.3.9-h9b0a68f_1105.tar.bz2”h0Œ@14f164dff92eedbed809690b53904346e32a069e730f2b5c8b1bdeba19ce53d9”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Š¤¼(öhEM€6hFˆubh)”}”(hŒlibuuid-devel-cos7-x86_64”h#Œ2.23.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libuuid-devel-cos7-x86_64-2.23.2-h9d98e8f_1104.tar.bz2”h+Œ 508f984150a5e9f387ba10d539cc5f9e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-x86_64-2.23.2-h9d98e8f_1104.tar.bz2”h0Œ@bfcc0581ee91062238bc53c2a096911bed3e0fc8f2a1dbd30b3b7781b0c8b6e9”h2NhNh3Œ#libuuid-cos7-x86_64 ==2.23.2 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×É|lØå`hEMlXhFˆubh)”}”(hŒswot_simulator”h#Œ1.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)swot_simulator-1.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 5b75704b8ee51f560031490738da3e84”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/swot_simulator-1.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@c7c13df5bf031e0fb0a8502a617cb36decfe05db7bc5f0861022e2b54e1609fd”h2NhNh3(Œdask”Œdistributed”Œmkl_fft”Œnetcdf4”Œnumba”Œnumpy”Œpyinterp”Œpython >=3.6”Œpython-dateutil”Œscipy”Œtornado”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØd;C9XhEJe,I hFˆubh)”}”(hŒhiphive”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ hiphive-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ f37f123ffb8a0b7a52a3d65ad98aa168”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/hiphive-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e6101bd0c258656ba6673a83b94f017db5df79c244904ecd0e49cc6f0abf78be”h2NhNh3(Œase”Œh5py”Œnumba”Œnumpy <1.21,>=1.12”Œpandas”Œpython >=3.5”Œscikit-learn”Œspglib”Œsympy >=1.1”Œtrainstation”t”h9h?h@ŒMIT”hBŒMIT”hDGAØfÀa™šhEMJÿhFˆubh)”}”(hŒ	gradsflow”h#Œ
0.0.8.dev1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)gradsflow-0.0.8.dev1-pyhd8ed1ab_0.tar.bz2”h+Œ 07131da53234305e0de7f49fc3a3770f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/gradsflow-0.0.8.dev1-pyhd8ed1ab_0.tar.bz2”h0Œ@cad620b97c1c6522d0c88a672fb3b4d19fdbfd78e253d1b2b17371568c286d6a”h2NhNh3(Œaccelerate >=0.5.0”Œloguru >=0.5”Œpython >=3.7”Œpytorch >=1.4”Œray-default >=1.6.0”Œray-tune >=1.6.0”Œrich”Œsmart_open >=5.1”Œtimm”Œtorchmetrics >=0.6.0”Œtorchvision”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØwÄU²-hEMã–hFˆubh)”}”(hŒ
r-varselrf”h#Œ0.7_8”h%Œr351h6115d3f_0”h'K hhh(h)hŒ'r-varselrf-0.7_8-r351h6115d3f_0.tar.bz2”h+Œ 2e27632d9568b2704088dfd2ffd64424”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-varselrf-0.7_8-r351h6115d3f_0.tar.bz2”h0Œ@11fdc07fa6c23e92fbbea242ee1f188690fa0438008d2b998ec9d423389db5dd”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-randomforest”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Ãú
JhEJ¦ì hFˆubh)”}”(hŒr-tabulizerjars”h#Œ1.0.1”h%Œr41h785f33e_2”h'Khhh(h)hŒ+r-tabulizerjars-1.0.1-r41h785f33e_2.tar.bz2”h+Œ dac5d38e95f714bfc3dc54107a7da776”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizerjars-1.0.1-r41h785f33e_2.tar.bz2”h0Œ@e48a9064269ca092defc4ce93d784bcf979d059e25bec1abb8b8390c6e7b5271”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑF0ljhEJ<§ hFˆubh)”}”(hŒxwrf”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxwrf-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ c8dca828e4e5c79be91083d4aa1453a4”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/xwrf-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@61fd7ca7416634665896bd051c41e25358f35a3cf60d5c4bbed50953940f5635”h2NhNh3(Œdonfig >=0.6.0”Œpyproj >=2.4.1”Œpython >=3.7”Œxarray >=0.18,!=0.20.0,!=0.20.1”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÑ‘Ï;dhEM`XhFˆubh)”}”(hŒ	papermill”h#Œ2.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$papermill-2.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 58a04c70e13f2f1f296729889491ba67”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/papermill-2.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@e47d913add083f4e062f294827ef4715768a07c306dacceb9939516aa39081bf”h2NhNh3(Œansiwrap”Œblack”Œclick”Œentrypoints”Œnbclient >=0.2.0”Œnbformat”Œpython >=3.6”Œpyyaml”Œrequests”Œtenacity”Œtqdm >=4.32.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‘°ÄœhEM€hFˆubh)”}”(hŒpyroute2.nftables”h#Œ0.6.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-pyroute2.nftables-0.6.13-pyhd8ed1ab_0.tar.bz2”h+Œ 917150f7f6938bfab6a608346f210a31”h.Œ[https://conda.anaconda.org/conda-forge/noarch/pyroute2.nftables-0.6.13-pyhd8ed1ab_0.tar.bz2”h0Œ@e1ca82c1ac509d8576f8ce97d6c1e7a3dc34dc855ded182dcc2ed88d0b276de2”h2NhNh3Œpyroute2.core”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ­QkêJhEM®jhFˆubh)”}”(hŒr-ggm”h#Œ2.3”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ"r-ggm-2.3-r41hc72bb7e_1002.tar.bz2”h+Œ e6a5045e5ed403d5df2690ea23763824”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggm-2.3-r41hc72bb7e_1002.tar.bz2”h0Œ@91df730601c9c1364301f653f4378184dc435016271f124ae426572668bc39bf”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-igraph”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+GW¦§ðhEJ<
 hFˆubh)”}”(hŒr-scales”h#Œ1.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-scales-1.2.1-r40hc72bb7e_0.tar.bz2”h+Œ f007dc0824d273053850a4a6443e60e0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-scales-1.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@5bc06dd58d12fc8b93cc38791bbc70456b1aff7363857628697ecaeb705fcf20”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-farver >=2.0.0”Œ
r-labeling”Œr-lifecycle”Œr-munsell >=0.5”Œr-r6”Œr-rcolorbrewer”Œr-viridislite”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÀ¤|îhEJÝ‹	 hFˆubh)”}”(hŒnapari-stracking”h#Œ0.1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+napari-stracking-0.1.9-pyhd8ed1ab_0.tar.bz2”h+Œ 350f37d1be863a0031a90fb948b2df4b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/napari-stracking-0.1.9-pyhd8ed1ab_0.tar.bz2”h0Œ@f672da054b63f554b5978c81ef86d660dfcb13d5c39c0e5ee9537eb5185ed869”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”•      Œnumpy”Œpython >=3.7”Œstracking >=0.1.9”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿•ó”¼jhEM¼ShFˆubh)”}”(hŒ	geopandas”h#Œ0.9.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$geopandas-0.9.0-pyhd8ed1ab_1.tar.bz2”h+Œ 41ca2f1b58a26c92f16f81f533336c1e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/geopandas-0.9.0-pyhd8ed1ab_1.tar.bz2”h0Œ@e2d0553861df9be6227ad035687ae4051e14bc71766779c79c02a634866fcd1c”h2NhNh3(Œfiona”Œ!geopandas-base 0.9.0 pyhd8ed1ab_1”Œmapclassify >=2.2.0”Œmatplotlib-base”Œpython >=3.6”Œrtree”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ04à
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setuptools”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×j	@“×
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hEMmIhFˆubh)”}”(hŒr-repo”h#Œ2.1.5”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-repo-2.1.5-r40hc72bb7e_1.tar.bz2”h+Œ 57f6ebe4d689385ec076d41ffbfc9f4c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-repo-2.1.5-r40hc72bb7e_1.tar.bz2”h0Œ@5aa6c5cb467f97fc90dd6fd1bc5468ba128fb031527f5633903b8221f280eb3d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-digest”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+¡ÃC–hEJ×û hFˆubh)”}”(hŒr-nmi”h#Œ2.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒr-nmi-2.0-r36hc72bb7e_0.tar.bz2”h+Œ 2d795334fbae405b701facd10ed18447”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-nmi-2.0-r36hc72bb7e_0.tar.bz2”h0Œ@49bebf9590e8764fc798741cf390afa5aa2efbb914ae5cd572582e5d0ec4adc8”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ.ÕÄ“hEMçYhFˆubh)”}”(hŒoptics_functions”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+optics_functions-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 16887e9220035091b110c37cb6a93e55”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/optics_functions-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@bdde97955a36c6917d0e84ab129f316623112dc99e34d14bb946b1c830792b7d”h2NhNh3(Œnumpy >=1.19.0”Œpandas >=1.0”Œpython >=3.6”Œtfs-pandas >=2.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¦{tüÌÍhEM×OhFˆubh)”}”(hŒr-loader.java”h#Œ1.1.1”h%Œr41ha770c72_2”h'Khhh(h)hŒ)r-loader.java-1.1.1-r41ha770c72_2.tar.bz2”h+Œ 4e2bac258fe25f8f956881cfcb952fee”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-loader.java-1.1.1-r41ha770c72_2.tar.bz2”h0Œ@6d948d72a0623031182d7ac646891ef09a70c1d39f4c43a89761e78bddc56080”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐÒ6wïžhEJàL4hFˆubh)”}”(hŒr-pbs”h#Œ1.1”h%Œr40h6115d3f_3”h'Khhh(h)hŒr-pbs-1.1-r40h6115d3f_3.tar.bz2”h+Œ 0f8ef0ca72ad5cecf93ddf1c00f4e362”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pbs-1.1-r40h6115d3f_3.tar.bz2”h0Œ@31a404abb5a71840aa8894055b39dec80c92490e795d7a64324883a37be0380a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬¸U‘hhEMyxhFˆubh)”}”(hŒr-virtualspecies”h#Œ1.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-virtualspecies-1.5.1-r41hc72bb7e_0.tar.bz2”h+Œ e9d2731b255a7d40e286526a3770cd9e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-virtualspecies-1.5.1-r41hc72bb7e_0.tar.bz2”h0Œ@22f5e1c575736de0edbc0a6f466d67d2aa685ebbb9d68c333804dc7f352efd57”h2NhNh3(Œr-ade4”Œr-base >=4.1,<4.2.0a0”Œr-raster”Œr-rworldmap”Œr-sp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ËÔ®VhEJUí hFˆubh)”}”(hŒlsstdesc.weaklensingdeblending”h#Œ0.4”h%Œpy_0”h'K hhh(h)hŒ/lsstdesc.weaklensingdeblending-0.4-py_0.tar.bz2”h+Œ f6ce35e18b88724bef5d157fdf3df856”h.Œ]https://conda.anaconda.org/conda-forge/noarch/lsstdesc.weaklensingdeblending-0.4-py_0.tar.bz2”h0Œ@f565b304edf94cf49ca14da6b505fb2f34d73fbf68fe30cbd01593b057f1808f”h2NhNh3(Œastropy”Œfitsio”Œgalsim”Œlmfit”Œnumpy”Œpython”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×q
¥:ñªhEM ŒhFˆubh)”}”(hŒfontconfig-cos6-x86_64”h#Œ2.8.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1fontconfig-cos6-x86_64-2.8.0-h9b0a68f_105.tar.bz2”h+Œ e12d74acd6b5767c33cb8d42a3948258”h.Œ_https://conda.anaconda.org/conda-forge/noarch/fontconfig-cos6-x86_64-2.8.0-h9b0a68f_105.tar.bz2”h0Œ@80c8142cf45d6e2e2819cb47bacb94c608dc845d06f8f03faaedc5d7a2de2d7e”h2NhNh3Œ"freetype-cos6-x86_64 >=2.1.4 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@X6áÊÁhEJVÒ hFˆubh)”}”(hŒokonomiyaki”h#Œ1.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&okonomiyaki-1.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 12b725cc6514cc2bc3bad5a8ea1730b7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/okonomiyaki-1.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e56395b4c0f4c34e57ec0bc3991b9faa64a6e8cad6b8df20635a8f3d9bccb400”h2NhNh3(Œattrs >=16.1.0”Œjsonschema >=2.5.1”Œpython >=3.6”Œsix >=1.9.0”Œzipfile2 >=0.0.12”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ8ú—
=hEJ hFˆubh)”}”(hŒ
r-multiway”h#Œ1.0_6”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ&r-multiway-1.0_6-r41hc72bb7e_3.tar.bz2”h+Œ cb2faf9dee4c02597df73526beead845”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiway-1.0_6-r41hc72bb7e_3.tar.bz2”h0Œ@5eed9e3e6229a2377277625635e892e600ce115fe7b9821d13b0df625f818a87”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-cmls”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒL½ô“hEJÏI
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hde85e46_7”h'Khhh(h)hŒ,sysroot-cos7-ppc64le-2.17-hde85e46_7.tar.bz2”h+Œ dafe057b25ed1edf77bb4d28ef7d7b9d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-ppc64le-2.17-hde85e46_7.tar.bz2”h0Œ@91592bdc0e800e3ce39a4b1b7146fd03b65d5251d414d5b515c9ceecbc397572”h2NhNh3Œsysroot_linux-ppc64le 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶úp4ZhEMÒhFˆubh)”}”(hŒr-kaos”h#Œ0.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-kaos-0.1.2-r42hc72bb7e_2.tar.bz2”h+Œ e853ff0dcd0f6eae3e3a1251d09c287b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-kaos-0.1.2-r42hc72bb7e_2.tar.bz2”h0Œ@cd171d65e68a6ab4da142f4bec6558d4295504a6e9aae76c4c60cf32f9e137ec”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ
r-reshape2”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ`tÉ%hEM:¹hFˆubh)”}”(hŒsphinx-asdf”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&sphinx-asdf-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 988a590b4c2f6556d07fd5b593934ee9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/sphinx-asdf-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@72907eb3799c55a734f38457b45ceb96a61079d98fddac1f561bb35ea553787d”h2NhNh3(Œasdf”Œastropy >=5.0.4”Œdocutils”Œgraphviz”Œmatplotlib-base”Œmistune ~=0.8.4”Œmyst-parser”Œpython >=3.6”Œsphinx”Œsphinx-astropy”Œsphinx-inline-tabs”Œsphinx_bootstrap_theme”Œsphinx_rtd_theme”Œtoml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ³T„	º^hEM.ÏhFˆubh)”}”(hŒr-kimisc”h#Œ0.4”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ%r-kimisc-0.4-r41hc72bb7e_1003.tar.bz2”h+Œ 7106a518aece1183e425fb3bc2b52164”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kimisc-0.4-r41hc72bb7e_1003.tar.bz2”h0Œ@9f6158cf965c7ceec3901e67d9b9006b68d635f3f46538aa487d6bc9c555e8a0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-memoise”Œr-plyr”Œr-pryr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ
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r-phytools”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÛC—²hEJN˜ hFˆubh)”}”(hŒpyld”h#Œ2.0.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒpyld-2.0.3-pyhd8ed1ab_1.tar.bz2”h+Œ 7cf1deedbb078d614dde4fe25dbec3c7”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyld-2.0.3-pyhd8ed1ab_1.tar.bz2”h0Œ@3159df59bda1098780ea792bfed4fd9f1deb05bd3f8ea1c7c49d79fd9f279594”h2NhNh3(Œ
cachetools”Œ
frozendict”Œlxml”Œpython >=3.4”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÓliV$ÝhEM)èhFˆubh)”}”(hŒ
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ<.,Ý/hEJ± hFˆubh)”}”(hŒ
r-circlize”h#Œ0.4.15”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-circlize-0.4.15-r41hc72bb7e_0.tar.bz2”h+Œ 5f3d21d5ae77094c4d315ec88547c8c6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-circlize-0.4.15-r41hc72bb7e_0.tar.bz2”h0Œ@85ce46ae6ca1e56518d61d688ec465ebeb63480c7c2037d030073fc8d8945e36”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colorspace”Œr-globaloptions >=0.1.0”Œr-shape”t”h9hºh@ŒMIT”hBŒMIT”hDGAØž¾6?}hEJ«t3 hFˆubh)”}”(hŒexpat-cos7-aarch64”h#Œ2.1.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ.expat-cos7-aarch64-2.1.0-ha826a6f_1103.tar.bz2”h+Œ 692b5ffdecab2aa1bd4ece66c35eaf1d”h.Œ\https://conda.anaconda.org/conda-forge/noarch/expat-cos7-aarch64-2.1.0-ha826a6f_1103.tar.bz2”h0Œ@906955255bcb619e368f5e52cf12a50273a05a3653e22fac4a18a549da213263”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/Öð´9hEJ7N hFˆubh)”}”(hŒr-celestial”h#Œ1.4.6”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-celestial-1.4.6-r36h6115d3f_1.tar.bz2”h+Œ ae346ffb706403ac896fbaaf1787e9f0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-celestial-1.4.6-r36h6115d3f_1.tar.bz2”h0Œ@a5f3bdc415d5be6e34bc0f649b87731e057ddc807bbe0d7775da0d3e6ca4e48c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-nistunits”Œr-pracma”Œr-rann”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LŽF£¶FhEJ´ë hFˆubh)”}”(hŒ
r-knockoff”h#Œ0.3.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-knockoff-0.3.6-r41hc72bb7e_0.tar.bz2”h+Œ 13c94020fabb592f95c6fdd288315f30”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-knockoff-0.3.6-r41hc72bb7e_0.tar.bz2”h0Œ@28b74f7b4bf4ecb379afce75d248303385e38c76e8aeeb51b1c200462fc342a1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-corpcor”Œr-glmnet”Œr-gtools”Œr-matrix”Œr-rdsdp”Œ
r-rspectra”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ3ÆX“uhEJâ hFˆubh)”}”(hŒpydeck”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pydeck-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 176b16002a5423169bf0f4b4c0ebecaf”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pydeck-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@67e57fcf187775a8376e554df885faa6c00d0713afc533d12c3d7ea61ed8b99e”h2NhNh3(Œ	ipykernel”Œ
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simplejson”Œsix >=1.8.0”Œtqdm”Œwrapt”t”h9h?h@ŒMIT”hBŒMIT”hEJ_p hFˆubh)”}”(hŒr-widgetframe”h#Œ0.3.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-widgetframe-0.3.1-r35h6115d3f_0.tar.bz2”h+Œ e62094df28b6abc333d034c0247fb088”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-widgetframe-0.3.1-r35h6115d3f_0.tar.bz2”h0Œ@bc7904e6aa0b0d797f7224eba80277cd3884d269786c0ac394966f7b38179c6c”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÁÐqòÐåhEJ¼ hFˆubh)”}”(hŒr-tabulizer”h#Œ0.2.2”h%Œr42h785f33e_2”h'Khhh(h)hŒ'r-tabulizer-0.2.2-r42h785f33e_2.tar.bz2”h+Œ 8300a7d3f6db49add6d517dc51d751fe”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizer-0.2.2-r42h785f33e_2.tar.bz2”h0Œ@8239b6ade8b7b763025cd17f0d292e5d4e549c20a3821a673c6ba0deb3862443”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-png”Œr-rjava”Œr-tabulizerjars”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑýõïl‹hEJ…Y hFˆubh)”}”(hŒnetworkx”h#Œ2.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#networkx-2.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ c949bad9afedd108f9c6a00faa93e8e2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/networkx-2.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a709929c8da3313c0be7a611e76cdc6c5ae7725b727893c520881014f915c0f9”h2NhNh3Œdecorator >=4.3.0,<5”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØE¾ÝhEJþ4 hFˆubh)”}”(hŒ	r-metstat”h#Œ1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ#r-metstat-1.0-r40h6115d3f_1.tar.bz2”h+Œ bb06a37b08ffadf477b788a594fc1ddf”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metstat-1.0-r40h6115d3f_1.tar.bz2”h0Œ@679bf6280339762c1f631a77e3a027373ba07e09d0b9fe587fba931fe67c56bf”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-mass”Œr-pls”t”h9hºh@ŒApache (== 2.0)”hBŒAPACHE”hDGA×¬«­%hEJ´1 hFˆubh)”}”(hŒr-graddescent”h#Œ3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-graddescent-3.0-r41hc72bb7e_0.tar.bz2”h+Œ dbf415b96cbdd5faa3c4aa501909c0e0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-graddescent-3.0-r41hc72bb7e_0.tar.bz2”h0Œ@031fe189cb95329d0833a1a61f056e68d777aa16819d50cbe7b420b2c6dcc644”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØa¹Èo|îhEJ~ hFˆubh)”}”(hŒ	r-lassopv”h#Œ0.2.0”h%Œr351h6115d3f_0”h'K hhh(h)hŒ&r-lassopv-0.2.0-r351h6115d3f_0.tar.bz2”h+Œ 3d438182c04df665113442aab5463feb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lassopv-0.2.0-r351h6115d3f_0.tar.bz2”h0Œ@a1a5c29f67ca7d29dbabb14cf8ca4d4d5d865200b9849d774ba5167dddc02376”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-lars”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×	Ñ3g®hEMµ‚hFˆubh)”}”(hŒpycoingecko”h#Œ3.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pycoingecko-3.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4347585ea2eec7bd571184b1fb6c32be”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pycoingecko-3.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@bcf6dd290fc51d0d88368aac742e91994b1226f46978428c5f2e381349bf735a”h2NhNh3Œpython >=3.6”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÖaž—hEM,1hFˆubh)”}”(hŒr-tmap”h#Œ3.3_3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-tmap-3.3_3-r40hc72bb7e_0.tar.bz2”h+Œ 53eca265dbbe2d140cf283eba61ef7c5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tmap-3.3_3-r40hc72bb7e_0.tar.bz2”h0Œ@c603c28dbc2ee50aa4a25ed93532e61e6c68b69b68b272e07505b4b48e65d1d5”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-classint >=0.4_3”Œr-htmltools”Œr-htmlwidgets”Œr-leafem >=0.1”Œr-leaflet >=2.0.2”Œ
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r-reshape2”Œr-rlang”Œr-tibble”Œr-tidyr”Œ
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h1341992_0”h'K hhh(h)hŒ7mesa-libgl-devel-cos7-ppc64le-18.3.4-h1341992_0.tar.bz2”h+Œ a918e3fdf73ad48ad226646b93f2090a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-ppc64le-18.3.4-h1341992_0.tar.bz2”h0Œ@69d03ffd808ae40585dd11e6ceb47f12be467ea329630ddf8edab4a5f8120deb”h2NhNh3Œ)mesa-libgl-cos7-ppc64le 18.3.4 h1341992_0”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×1ÿÀbNhEJr‡ hFˆubh)”}”(hŒr-ncdunnett”h#Œ1.1.0”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ*r-ncdunnett-1.1.0-r42hc72bb7e_1003.tar.bz2”h+Œ 99b235543188791c647807504fd53df0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ncdunnett-1.1.0-r42hc72bb7e_1003.tar.bz2”h0Œ@df68ddc5798b3e75c22275ca298f80f195ae6a24926556a72ce74bc54d629f45”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒF‹7 hEMëëhFˆubh)”}”(hŒr-mdmr”h#Œ0.5.1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ"r-mdmr-0.5.1-r36h6115d3f_2.tar.bz2”h+Œ bec830fcd4c1d264a460ffaa2ea8363a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mdmr-0.5.1-r36h6115d3f_2.tar.bz2”h0Œ@2d7e3e00de11bac190e8323847c9345f05740035f32d6b0e349f8774c56987f1”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-car”Œr-compquadform”Œr-lme4”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬­Íõ?}hEJTô hFˆubh)”}”(hŒ xorg-x11-server-xvfb-cos7-x86_64”h#Œ1.20.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ=xorg-x11-server-xvfb-cos7-x86_64-1.20.4-h9b0a68f_1105.tar.bz2”h+Œ df1c367ba8cfa12d729534549b0d9d88”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos7-x86_64-1.20.4-h9b0a68f_1105.tar.bz2”h0Œ@31b93287abcf0a4eff8d23ecf588d0f08ab489abc759c0dccb56a43c7e295c7f”h2NhNh3Œsysroot_linux-64 2.17.*”Œ2xorg-x11-server-common-cos7-x86_64 >=1.20.4 *_1105”†”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGAØ@n!xÕhEJ` hFˆubh)”}”(hŒr-encryptedrmd”h#Œ0.2.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ*r-encryptedrmd-0.2.1-r41h785f33e_0.tar.bz2”h+Œ f1a64d841e032f250c096ea69efb82bb”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-encryptedrmd-0.2.1-r41h785f33e_0.tar.bz2”h0Œ@d10dd105595c2f19d0e6ce3ffef2cd94ebb9870f7161bdc5353417e1c762e878”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-readr”Œr-rmarkdown”Œr-sodium”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÕ\™ë…hEMæºhFˆubh)”}”(hŒnapari-power-spectrum”h#Œ0.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0napari-power-spectrum-0.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 38a051217f63a0b7d4eba5ecd2a55aee”h.Œ^https://conda.anaconda.org/conda-forge/noarch/napari-power-spectrum-0.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@edff24586664d8085ea3c32a37fc1eb61818fafb4077888046311113cc5d511f”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpython >=3.8”Œqtpy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØª×a
JhEMì#hFˆubh)”}”(hŒnss-softokn-cos7-ppc64le”h#Œ3.44.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4nss-softokn-cos7-ppc64le-3.44.0-h9b0a68f_105.tar.bz2”h+Œ e3cf7ca65f06072e49191f2012519044”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-ppc64le-3.44.0-h9b0a68f_105.tar.bz2”h0Œ@36db339fdbd862e9373630b4e4cfef3e98e93aa741c09eb8dd2679d63d648bad”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_105”Œ.nss-softokn-freebl-cos7-ppc64le >=3.44.0 *_105”Œ$nss-util-cos7-ppc64le >=3.44.0 *_105”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@	Àr°hEJú8 hFˆubh)”}”(hŒ
r-isingfit”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-isingfit-0.3.1-r41hc72bb7e_0.tar.bz2”h+Œ 05dc44926789e45ed4a21852b19302ea”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-isingfit-0.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@a164d202d57ffe751015049222a8ceade2dbfce7e0f2e303203cd06c70deaa93”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glmnet”Œr-matrix”Œr-qgraph”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ;&±ë×
hEMW²hFˆubh)”}”(hŒrift-gpu”h#Œ0.0.14.7”h%Œpy_0”h'K hhh(h)hŒrift-gpu-0.0.14.7-py_0.tar.bz2”h+Œ 3b8032950c02ff32a8a0124d884296dc”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/rift-gpu-0.0.14.7-py_0.tar.bz2”h0Œ@54be47505f38227dfd3406da157a4b5b8a31d3599be0901d91878c5a1b3f8357”h2NhNh3(Œcupy”Œpython”Œpytorch”Œrift 0.0.14.7 py27_0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Žn˜.§ðhEM•hFˆubh)”}”(hŒlibxrandr-devel-cos7-ppc64le”h#Œ1.5.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7libxrandr-devel-cos7-ppc64le-1.5.1-h9d98e8f_104.tar.bz2”h+Œ 8c7f4aae93a7fd35a06f79b63d4ed0fe”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos7-ppc64le-1.5.1-h9d98e8f_104.tar.bz2”h0Œ@100dfdbfd16a3ca3527a0f34ba8577c506f63a171917b8ee8c5db5606da9efa8”h2NhNh3Œ$libxrandr-cos7-ppc64le ==1.5.1 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}>ìjhEMÌ<hFˆubh)”}”(hŒmesa-libgl-devel-cos7-aarch64”h#Œ18.3.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:mesa-libgl-devel-cos7-aarch64-18.3.4-h9d98e8f_1104.tar.bz2”h+Œ a34f842c0ea561b39cf98e69934c6eb2”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-aarch64-18.3.4-h9d98e8f_1104.tar.bz2”h0Œ@2206d8d9a9b11ac26f8af50a7086dd97b32ff5d8d5e621fe51bafbbbf27d3a7c”h2NhNh3Œ+mesa-khr-devel-cos7-aarch64 ==18.3.4 *_1104”Œ'mesa-libgl-cos7-aarch64 ==18.3.4 *_1104”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×É€»„¼jhEJ|ˆ hFˆubh)”}”(hŒkml2geojson”h#Œ5.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&kml2geojson-5.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 296631cbbae929ac7e772e7cb7a39526”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/kml2geojson-5.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6914c6acbc8264fc2c3066739d2884fa83843db68e4fa265c4fbd57845a56a73”h2NhNh3Œclick >=8.0.1,<9.0.0”Œpython >=3.6,<4.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ£9´néyhEMv6hFˆubh)”}”(hŒpyprof2calltree”h#Œ1.4.5”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*pyprof2calltree-1.4.5-pyh9f0ad1d_0.tar.bz2”h+Œ a1dc8b9e035b17ff59db9fb84bfed1e8”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pyprof2calltree-1.4.5-pyh9f0ad1d_0.tar.bz2”h0Œ@9d96740b5aa433cb46589039022aa90dc958cb58f1214c0da8d7eb2d1542b8cc”h2NhNh3Œpython”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGA×§Y:^ÙhEM +hFˆubh)”}”(hŒchardet”h#Œ3.0.4”h%Œpy_1”h'Khhh(h)hŒchardet-3.0.4-py_1.tar.bz2”h+Œ fe78e4f34d845480ff480e0f8561f83c”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/chardet-3.0.4-py_1.tar.bz2”h0Œ@1b63f2e11c96f8564c9e0b05cc05eaa45dd38de56052dd6e049a795db1e00620”h2NhNh3Œpython”…”h9h?h@ŒLGPL2”hBŒGPL”hDGAÖÐ4Áš~úhEJV~ hFˆubh)”}”(hŒpcre-cos7-ppc64le”h#Œ8.32”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ,pcre-cos7-ppc64le-8.32-h9d98e8f_1104.tar.bz2”h+Œ 0916c2aebdae49eb741a05ffbf5f8b56”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/pcre-cos7-ppc64le-8.32-h9d98e8f_1104.tar.bz2”h0Œ@6cd4509f9c8bef01a6b9bb562ce14b72cc5999e7b03876ff17cfae0c1c934ff9”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØŽ&ø“uhEJN~ hFˆubh)”}”(hŒm2r”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒm2r-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1a44035ed72e3a3af1c557b77568e527”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/m2r-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b2705efb6d75e8823858260daa0dadb0cad439263ea3033439f5bd4da478227e”h2NhNh3Œdocutils”Œ
mistune <2”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÝ–ÇzñªhEMë9hFˆubh)”}”(hŒsphinxdft-data”h#Œ0.0.1”h%Œ
hd8ed1ab_2”h'Khhh(h)hŒ'sphinxdft-data-0.0.1-hd8ed1ab_2.tar.bz2”h+Œ bc1a7fcad35a413dd6a39655cbf3f195”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/sphinxdft-data-0.0.1-hd8ed1ab_2.tar.bz2”h0Œ@0e505acce10e6c937770769927587764bb940bad5aabf4d0a9c07d8c587b108c”h2NhNh3)h9hºh@Œ
Apache-2.0”hBŒApache”hDGAØôÃ33hEJz+×hFˆubh)”}”(hŒ	pure_eval”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6784285c7e55cb7212efabc79e4c2883”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@72792f9fc2b1820e37cc57f84a27bc819c71088c3002ca6db05a2e56404f9d44”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ{%ñ™šhEM×8hFˆubh)”}”(hŒr-discriminer”h#Œ0.1_29”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ-r-discriminer-0.1_29-r41hc72bb7e_1004.tar.bz2”h+Œ 2ee53bc3def1ff3d8c68345fe7896995”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-discriminer-0.1_29-r41hc72bb7e_1004.tar.bz2”h0Œ@aa73fda804b1c589f5153f51cdab518ac98d16f933954625fc057d29c9de0c53”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ‹?|îhEJñª hFˆubh)”}”(hŒwebdavclient2”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒ webdavclient2-0.1.1-py_0.tar.bz2”h+Œ d0a25a87b57f3d1c473533d668cdbb62”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/webdavclient2-0.1.1-py_0.tar.bz2”h0Œ@c52f4d9b5a6465b011c707cb147cd2c175a31a80e7e727fa2167b75e554d0092”h2NhNh3(Œargcomplete”Œlxml”Œpython”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hEMA:hFˆubh)”}”(hŒ	r-tsclust”h#Œ1.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-tsclust-1.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 5e71a23ec882192204f52c265ad1a8c9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tsclust-1.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@0e8049cadf274fa0c277ddff837c3dbc2c7e8341fba1cfc5383e75db34bbdb9f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œr-dtw”Œ
r-forecast”Œr-kernsmooth”Œr-locpol”Œr-longitudinaldata”Œr-pdc”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ«@´9hEJ-ø hFˆubh)”}”(hŒr-spacyr”h#Œ1.2.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-spacyr-1.2.1-r40hc72bb7e_1.tar.bz2”h+Œ bbbc358c3f64ad5f93a92081d1c0ebaf”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spacyr-1.2.1-r40hc72bb7e_1.tar.bz2”h0Œ@02c89b1c32df073a84eea821e44a7c9cb6abda22e34628748f40260380cd9c33”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œr-reticulate >=1.6”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+BãÆ¨hEJ®` hFˆubh)”}”(hŒr-irr”h#Œ0.84.1”h%Œr351h6115d3f_0”h'K hhh(h)hŒ#r-irr-0.84.1-r351h6115d3f_0.tar.bz2”h+Œ 965c90c5225dbf283a5dc8d5d28118a8”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-irr-0.84.1-r351h6115d3f_0.tar.bz2”h0Œ@84ca0dfbfc5fdf6c53dc9eaa0b0ee86c6f308f79adc6274bfe0b10e62017a2c5”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-lpsolve”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×/™?}hEJŽ hFˆubh)”}”(hŒr-emld”h#Œ0.5.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-emld-0.5.1-r41hc72bb7e_1.tar.bz2”h+Œ c75e8e043d78875f7ce4049281242e91”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-emld-0.5.1-r41hc72bb7e_1.tar.bz2”h0Œ@0bfd42c88781ce44443b0032bba38be28d771d33b449f3de1cc335871f7ccaf5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-jsonld”Œ
r-jsonlite”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ4p’ñªhEJ0¹ hFˆubh)”}”(hŒr-gwidgets2tcltk”h#Œ1.0_8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-gwidgets2tcltk-1.0_8-r41hc72bb7e_0.tar.bz2”h+Œ cc77b88864965b8d0588259c86f4b369”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets2tcltk-1.0_8-r41hc72bb7e_0.tar.bz2”h0Œ@ae9e9767ca375a430962c80b37666150fb573b6bafacd8a70a2a2e3b82e741ef”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-gwidgets2 >=1.0.7”Œ	r-memoise”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØƒn¯aXhEJp¹ hFˆubh)”}”(hŒr-rocit”h#Œ2.1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-rocit-2.1.1-r36h6115d3f_0.tar.bz2”h+Œ 6de5566b6826950b95d7c71b4257cc46”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rocit-2.1.1-r36h6115d3f_0.tar.bz2”h0Œ@e49b4d70c66bedb380b061e1b2abb276709430b052a97920ce1330b07c9c0333”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¹ f‡+hEJÜÍ hFˆubh)”}”(hŒr-codemetar”h#Œ0.3.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-codemetar-0.3.5-r40hc72bb7e_0.tar.bz2”h+Œ 885902a3a835dce4915a2e1e2b50c86b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-codemetar-0.3.5-r40hc72bb7e_0.tar.bz2”h0Œ@4968c08826205ad201cafd7e5557a89e2c25b25a6c17e5250b054e9140f83abb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cli”Œ
r-codemeta”Œr-commonmark”Œr-crul”Œr-desc”Œr-gert”Œr-gh”Œr-jsonlite >=1.6”Œ
r-magrittr”Œ	r-memoise”Œr-pingr”Œr-purrr”Œ	r-remotes”Œr-sessioninfo”Œ
r-urltools”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÄŸ÷QG®hEJàô hFˆubh)”}”(hŒjupyterlab-mosaic”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jupyterlab-mosaic-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0f78086861fcb7f9cf2b3259821a54eb”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-mosaic-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9e0956797e13f8bd736067f460b9a9d883c2fa5294b9fdd9ed33ae84f70b4249”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœO,5/hEMàJhFˆubh)”}”(hŒflatdict”h#Œ4.0.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#flatdict-4.0.1-pyh9f0ad1d_0.tar.bz2”h+Œ 3df3b7f4ed0149076b87bfd23ceb63ea”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/flatdict-4.0.1-pyh9f0ad1d_0.tar.bz2”h0Œ@de0825e0b9874f5cdd77bb75b00bee79b2a5135603efcf6d07a63cd70276622f”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¡ô„ŸKÇhEM$'hFˆubh)”}”(hŒjupytab-server”h#Œ0.9.11”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*jupytab-server-0.9.11-pyh9f0ad1d_0.tar.bz2”h+Œ 5af46fa3a8157ca9b4956f08fb53fd82”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/jupytab-server-0.9.11-pyh9f0ad1d_0.tar.bz2”h0Œ@cae9dbe9f3ff529426546d367217ee5f6d3566609a1fe45c6e48793e32892939”h2NhNh3Œjupyter_kernel_gateway”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Öü#&éhEJßõ hFˆubh)”}”(hŒlibxml2-devel-cos7-ppc64le”h#Œ2.9.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libxml2-devel-cos7-ppc64le-2.9.1-h9d98e8f_104.tar.bz2”h+Œ f283303b7f067a878fb5e09837e5d30b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-ppc64le-2.9.1-h9d98e8f_104.tar.bz2”h0Œ@6adbf330e5e86a9c02b46c7d84fbe2d01ffde74efa758c629bdfae2ea51372b6”h2NhNh3Œ"libxml2-cos7-ppc64le ==2.9.1 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{7q‰7hEJ#| hFˆubh)”}”(hŒrb-gli”h#Œ2.19.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ rb-gli-2.19.0-hc42de5b_0.tar.bz2”h+Œ c2501080bd2e614dad69b6ea84056e48”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-gli-2.19.0-hc42de5b_0.tar.bz2”h0Œ@43ceb7b660871671ad09d14854d0ab8bf6011f7d0df37e18f4f147cf532e4c27”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@Œ
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r-jsonlite”Œr-leaflet >=2.0.1”Œr-sf >=0.5_2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÿÙ²-hEJÎ hFˆubh)”}”(hŒfontconfig-cos7-ppc64le”h#Œ2.13.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ4fontconfig-cos7-ppc64le-2.13.0-ha826a6f_1103.tar.bz2”h+Œ 192c7ea32bd6d4d5f9687a0e283f76ca”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-cos7-ppc64le-2.13.0-ha826a6f_1103.tar.bz2”h0Œ@e7f0ae85be4ded4994b2c19f85840fdb04f15b5c87352c4f674478da03cd1f82”h2NhNh3Œ"freetype-cos7-ppc64le >=2.8 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×Æ1‰hshEJÊî hFˆubh)”}”(hŒlibxfixes-devel-cos7-x86_64”h#Œ5.0.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ7libxfixes-devel-cos7-x86_64-5.0.3-ha826a6f_1103.tar.bz2”h+Œ 4fcdc27a33218f4463acc9882ad9f0eb”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-x86_64-5.0.3-ha826a6f_1103.tar.bz2”h0Œ@d8db196462e51015eff2fb80a37d5645277001820b79316d57eba1f8b5509b2d”h2NhNh3Œ$libxfixes-cos7-x86_64 ==5.0.3 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2¿t(öhEMA&hFˆubh)”}”(hŒr-htmltable”h#Œ2.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-htmltable-2.4.1-r42hc72bb7e_1.tar.bz2”h+Œ 5e39fe2bda10bbca7e7572bc399f584c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-htmltable-2.4.1-r42hc72bb7e_1.tar.bz2”h0Œ@ece7ffe3d0a302d619e8f49bb7de6e8215443aca36015c7824650a8edf6a4349”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-htmltools”Œr-htmlwidgets”Œr-knitr >=1.6”Œr-magrittr >=1.5”Œr-rstudioapi >=0.6”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ½x´9hEJ°^ hFˆubh)”}”(hŒlibibverbs-cos7-ppc64le”h#Œ22.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1libibverbs-cos7-ppc64le-22.4-h9b0a68f_105.tar.bz2”h+Œ 176dc0510b1a1524b937530d482732cf”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-ppc64le-22.4-h9b0a68f_105.tar.bz2”h0Œ@78d9bde875aa0d4bb5e3228b6f2e3b074b4dcd6e00320323fdd1183a3123e48d”h2NhNh3Œ#rdma-core-cos7-ppc64le ==22.4 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@‹ð.ùÛhEJ
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GPL (>= 2)”hBŒGPL3”hDGAØ+L®hEJé hFˆubh)”}”(hŒr-bookdownplus”h#Œ1.5.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-bookdownplus-1.5.8-r42hc72bb7e_2.tar.bz2”h+Œ 0d33be82c536618845d5f2a5bad007d7”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bookdownplus-1.5.8-r42hc72bb7e_2.tar.bz2”h0Œ@ef9ebc35ddef51d829e1a3f350ab5aa9bb07d73ce699f8caf41ae32449ed1e83”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bookdown >=0.3.17”Œr-knitr”Œr-magick”Œ
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r-magrittr”Œ	r-mapdata”Œr-maps”Œr-rlang”Œr-sf”Œr-spatstat.geom”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑŽ¯ÒñªhEJ
 hFˆubh)”}”(hŒ
r-purbayes”h#Œ1.3”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ'r-purbayes-1.3-r41hc72bb7e_1002.tar.bz2”h+Œ c314d66c3374e7926eb2d6c144ec50ea”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-purbayes-1.3-r41hc72bb7e_1002.tar.bz2”h0Œ@06261c153c89883c916f70544193bb9c442ec0352aae10f69f0202ea9756b4cd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjags”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+G3bNhEM¬hFˆubh)”}”(hŒnss-softokn-freebl-cos7-x86_64”h#Œ3.44.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;nss-softokn-freebl-cos7-x86_64-3.44.0-h9b0a68f_1105.tar.bz2”h+Œ e7663ce52446d9bd5c179e8a28a45670”h.Œihttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-x86_64-3.44.0-h9b0a68f_1105.tar.bz2”h0Œ@de6018cea1c8c873a70e3297a424e717d41a07cd5446a41813611b873f265ae5”h2NhNh3Œ nspr-cos7-x86_64 >=4.21.0 *_1105”Œ$nss-util-cos7-x86_64 >=3.44.0 *_1105”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@nÄzáhEJ†æ hFˆubh)”}”(hŒr-noisefiltersr”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-noisefiltersr-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 6d5848a713e9cf1aa78c907e749e6e8d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-noisefiltersr-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@fb9a38d0c01551a74ecdf76a68315505a1cd99362c6f7b0c4f466b1c5de81f07”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-caret”Œr-e1071”Œr-kknn”Œr-mass”Œr-nnet”Œr-randomforest”Œr-rjava”Œr-rpart”Œr-rweka”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+ÒdZ°!hEJ…ã hFˆubh)”}”(hŒ	r-memoise”h#Œ2.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-memoise-2.0.1-r41hc72bb7e_0.tar.bz2”h+Œ ba52e00d6d8b5bd8edd1c164b74cca9d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-memoise-2.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@8035b5dc6dd66aa6e5e06907c40e85523c685a14cc7e8ac711f2648ff7afe586”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-cachem”Œr-rlang >=0.4.10”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØhL¡ohEMêâhFˆubh)”}”(hŒflake8-colors”h#Œ0.1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(flake8-colors-0.1.9-pyhd8ed1ab_0.tar.bz2”h+Œ c1f5b97206bb34d028e2e74867152f32”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flake8-colors-0.1.9-pyhd8ed1ab_0.tar.bz2”h0Œ@08502211c566cf47b8127a6d2e682cbf9fe3175ec9695b53909020a716385120”h2NhNh3Œflake8 >3.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ì£œœ“hEM­hFˆubh)”}”(hŒ	r-pvclust”h#Œ2.2_0”h%Œr36_0”h'K hhh(h)hŒr-pvclust-2.2_0-r36_0.tar.bz2”h+Œ 58099fb8d5c4b563e1628853cb5311c9”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-pvclust-2.2_0-r36_0.tar.bz2”h0Œ@3fe05221f439f2bea9bc8b1c761d15adbc030089a29c2ce556fbe7e84bf805b8”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL”hDGA×tùOcC–hEJ” hFˆubh)”}”(hŒr-chemometrics”h#Œ1.4.2”h%Œr42ha770c72_1003”h'Mëhhh(h)hŒ-r-chemometrics-1.4.2-r42ha770c72_1003.tar.bz2”h+Œ a7de420a0aee484eacf97257c0c790f6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-chemometrics-1.4.2-r42ha770c72_1003.tar.bz2”h0Œ@8a2225dab26c19a42c828f9cf66639a46535f99c1ece0ca1a0b3acf3792f70ac”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-class”Œr-e1071”Œr-lars”Œr-mass”Œr-mclust”Œr-nnet”Œr-pcapp”Œr-pls”Œr-robustbase”Œr-rpart”Œr-som”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÒœ bNhEJ69? hFˆubh)”}”(hŒ
r-ic.infer”h#Œ1.1_6”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ)r-ic.infer-1.1_6-r36h6115d3f_1001.tar.bz2”h+Œ c18a523bfa164a7eddb689809bf7699c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ic.infer-1.1_6-r36h6115d3f_1001.tar.bz2”h0Œ@5b38cf260488630929212f8dcf90a88375d4f321f8c5386b67d4176327bac93c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-boot”Œ
r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Ms¥ãhEJé´ hFˆubh)”}”(hŒr-cvar”h#Œ0.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-cvar-0.5-r41hc72bb7e_0.tar.bz2”h+Œ 1c37763b25ccdbeb3be36a30c856d1ea”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cvar-0.5-r41hc72bb7e_0.tar.bz2”h0Œ@0609b6c547b04be1ce6492fae46245db69e27179c8f0793b6d8c4912ca014b69”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-gbutils”Œr-rdpack >=0.8”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÝ}UÒòhEJvQ hFˆubh)”}”(hŒlibxml2-devel-cos7-aarch64”h#Œ2.9.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libxml2-devel-cos7-aarch64-2.9.1-h9d98e8f_104.tar.bz2”h+Œ 3b14c0a9dae8d7dc45671bfc79936eea”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-aarch64-2.9.1-h9d98e8f_104.tar.bz2”h0Œ@e03f7a9f815aa61f927b2aea13df25ac02d092d92d93e1f879f9bfe24907ed11”h2NhNh3Œ"libxml2-cos7-aarch64 ==2.9.1 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{‰,‹DhEJU hFˆubh)”}”(hŒ
aiida-core”h#Œ1.6.8”h%Œpyh6c4a22f_1”h'Khhh(h)hŒ%aiida-core-1.6.8-pyh6c4a22f_1.tar.bz2”h+Œ d901f97f1a1310cc1ac9e1e9d98fcc70”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/aiida-core-1.6.8-pyh6c4a22f_1.tar.bz2”h0Œ@3645ccc6826c22ccd0be6fa9fa5518dadf3b57a6fd25134ae167c6e6bd91734f”h2NhNh3(Œaio-pika ~=6.6”Œaldjemy ~=0.9.1”Œalembic ~=1.2”Œarchive-path ~=0.2.1”Œcircus ~=0.17.1”Œclick ~=7.1”Œclick-completion ~=0.5.1”Œclick-config-file ~=0.6.0”Œclick-spinner ~=0.1.8”Œdjango ~=2.2”Œ
ete3 ~=3.1”Œipython ~=7.20”Œjinja2 ~=2.10”Œjsonschema ~=3.0”Œkiwipy ~=0.7.4”Œmarkupsafe <2.1”Œnumpy ~=1.17”Œpamqp ~=2.3”Œparamiko ~=2.7,>=2.7.2”Œpgsu ~=0.2.0”Œplumpy ~=0.20.0”Œpsutil ~=5.6”Œpsycopg2-binary ~=2.8.3”Œpython ~=3.7”Œpython-dateutil ~=2.8”Œpython-graphviz ~=0.13”Œpytz ~=2019.3”Œpyyaml ~=5.4”Œreentry ~=1.3”Œsimplejson ~=3.16”Œsqlalchemy ~=1.3.10”Œsqlalchemy-utils ~=0.36.0”Œtabulate ~=0.8.5”Œtqdm ~=4.45”Œtzlocal ~=2.0”Œupf_to_json ~=0.9.2”Œwrapt ~=1.11.1”t”h6Œaiida-core.services 1.6.8 1”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ³ên˜hEJ:û
 hFˆubh)”}”(hŒpytest-aiohttp”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒ!pytest-aiohttp-0.3.0-py_0.tar.bz2”h+Œ 2f2a81e87c7ce27970ba3b851bb90306”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pytest-aiohttp-0.3.0-py_0.tar.bz2”h0Œ@7dea52c1baa5d4f6310258b279e246bd60748110b23990eaa902db2e8aa417a0”h2NhNh3Œaiohttp >=2.3.5”Œpytest”Œpython >=3.4”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÖØE¿ahshEMBhFˆubh)”}”(hŒlibxext-cos7-aarch64”h#Œ1.3.3”h%Œh1795305_1101”h'MMhhh(h)hŒ0libxext-cos7-aarch64-1.3.3-h1795305_1101.tar.bz2”h+Œ 7a357452a0e5ab12cb1f0fca40c7d6e8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-aarch64-1.3.3-h1795305_1101.tar.bz2”h0Œ@31611ac7d32ff820873d35df2ccbe47bf666d6af1600cf8025e669e5668c4966”h2NhNh3Œ libx11-cos7-aarch64 >=1.5.99.902”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&KÇhEMå”hFˆubh)”}”(hŒr-here”h#Œ1.0.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ"r-here-1.0.1-r36hc72bb7e_0.tar.bz2”h+Œ ed5f689319347f7eef276370cb2c973c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-here-1.0.1-r36hc72bb7e_0.tar.bz2”h0Œ@f0c34a1a4a5698d10ac1d60331b5b6a8dddb0e3e263a5b2673c2f2010a241844”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rprojroot >=2.0.2”†”h9hºh@ŒMIT”hBŒMIT”hDGA×õuçb°!hEMöÚhFˆubh)”}”(hŒr-stabs”h#Œ0.6_4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-stabs-0.6_4-r41hc72bb7e_1.tar.bz2”h+Œ f9044914315cb7514986f28241d47195”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stabs-0.6_4-r41hc72bb7e_1.tar.bz2”h0Œ@7884bbb615e055f83650bc15a522969515bd956d74054af393d130016eefb45a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐÆE%‘hhEJ€d hFˆubh)”}”(hŒ	instapush”h#Œ0.1.2”h%Œpy_0”h'K hhh(h)hŒinstapush-0.1.2-py_0.tar.bz2”h+Œ e2d988dc647eaf08aea8e04bf07fbf9a”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/instapush-0.1.2-py_0.tar.bz2”h0Œ@e103aa51590a6a923137951040963036163c08db8167d8d2061aa1bfecba9f4d”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGA×“§MÛdZhEMÓhFˆubh)”}”(hŒr-ada”h#Œ2.0_5”h%Œr36_1002”h'Mêhhh(h)hŒr-ada-2.0_5-r36_1002.tar.bz2”h+Œ 6d25fe7ece706aa33d9bb9a553c786b2”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-ada-2.0_5-r36_1002.tar.bz2”h0Œ@f7ab2c8ec22d3a0ac57042d0430637298b1ac7df500809db500d2da93ae77e65”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rpart”†”h9hºh@ŒGPL”hBŒGPL”hDGA×¬%–5?hEJ^– hFˆubh)”}”(hŒlibthai-cos7-aarch64”h#Œ0.1.14”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libthai-cos7-aarch64-0.1.14-h9d98e8f_1104.tar.bz2”h+Œ 27aca5ff969a08f83efd36d381229bcb”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-aarch64-0.1.14-h9d98e8f_1104.tar.bz2”h0Œ@78d3eb36d8d3f1593998e6b673c4c0552aef4143dbc2064cd961ffa8098fa3a6”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉzAR°!hEJms hFˆubh)”}”(hŒp11-kit-cos6-x86_64”h#Œ0.18.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ0p11-kit-cos6-x86_64-0.18.5-ha826a6f_1103.tar.bz2”h+Œ 6d4f9973fbe66e09003c484aaca4a3f8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos6-x86_64-0.18.5-ha826a6f_1103.tar.bz2”h0Œ@5e39a9d857490cf03caf6f83b9b923c332e242a69b4ff3fce5f0a76c866d53ae”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/%TÌÍhEJN¤ hFˆubh)”}”(hŒr-lsr”h#Œ0.5.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-lsr-0.5.2-r41hc72bb7e_1.tar.bz2”h+Œ 088eae4ff1d5b4a181b7df1d6842832b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lsr-0.5.2-r41hc72bb7e_1.tar.bz2”h0Œ@87e9c3e388fd6b2d9b830ff743ab3c5daf57cab1059c0312d0f5b45e97b5eb8d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒSš^5hEJX hFˆubh)”}”(hŒeden-kernel”h#Œ0.3.1348”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)eden-kernel-0.3.1348-pyhd8ed1ab_0.tar.bz2”h+Œ 80dab5b6c83cb81a1b75110eda75094b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/eden-kernel-0.3.1348-pyhd8ed1ab_0.tar.bz2”h0Œ@03e0e4d3aa5146b6f520cd1244dd3afba82f6e896ebf4926bfea2eaa7c777271”h2NhNh3(Œdill”Œfuture”Œjoblib”Œmatplotlib-base”Œnetworkx >=2.0”Œnumpy >=1.10.4”Œpython >=3.8”Œrequests”Œscikit-learn >=0.18.2”Œscipy >=0.14.0”Œtoolz”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ½B*`A‰hEMß¦hFˆubh)”}”(hŒgpstime”h#Œ0.4.4”h%Œpy_0”h'K hhh(h)hŒgpstime-0.4.4-py_0.tar.bz2”h+Œ f15a5e3cb7310bc384725493dc8e757e”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/gpstime-0.4.4-py_0.tar.bz2”h0Œ@bd3692ef90e55722d0cbc432a391b52aba9e24df86ec4742eac579a04f34d255”h2NhNh3(Œ	coreutils”Œpython”Œpython-dateutil”Œrequests”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×‘kx?²hEM4ZhFˆubh)”}”(hŒr-pwr”h#Œ1.3_0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ!r-pwr-1.3_0-r40h6115d3f_1.tar.bz2”h+Œ c75df08ae7f81843c688fddcc8365d6b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pwr-1.3_0-r40h6115d3f_1.tar.bz2”h0Œ@cba1e5da941f596b1750b9fee8e7929caec6f0b2080be34b376a3c54bfa18940”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
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r-semtools”h#Œ0.5_6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-semtools-0.5_6-r40hc72bb7e_0.tar.bz2”h+Œ bcdc3f99df046554c186a50646a54066”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-semtools-0.5_6-r40hc72bb7e_0.tar.bz2”h0Œ@204cde7da529f80db5e8f1be00ea10e7783b0cf0f13578ab0a60050cca296f21”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lavaan >=0.6_5”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØž‘¿ø  hEJ×+, hFˆubh)”}”(hŒflatten_json”h#Œ0.1.13”h%Œpyh44b312d_0”h'K hhh(h)hŒ(flatten_json-0.1.13-pyh44b312d_0.tar.bz2”h+Œ 098fc695533cde965aad8370a3f98a1f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flatten_json-0.1.13-pyh44b312d_0.tar.bz2”h0Œ@0d264462d35bcc593c17122ba828390621f155073543366be09a1822c8f5638d”h2NhNh3Œpython”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ@+OßhEM›-hFˆubh)”}”(hŒatk-devel-cos7-ppc64le”h#Œ2.28.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2atk-devel-cos7-ppc64le-2.28.1-h9d98e8f_104.tar.bz2”h+Œ de5b9169d3617b30f5c75f803c437fc6”h.Œ`https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos7-ppc64le-2.28.1-h9d98e8f_104.tar.bz2”h0Œ@7b0920b671712a90a2f8cfaba720c3b1695eea4cd0fecb2eb321deaf32b1e49b”h2NhNh3Œatk-cos7-ppc64le ==2.28.1 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É{þÙhEJ‡¼ hFˆubh)”}”(hŒfixie-batch”h#Œ0.0.2”h%j3G h'K hhh(h)hŒfixie-batch-0.0.2-0.tar.bz2”h+Œ efc893c2851d44d2f8949f458283b0b8”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/fixie-batch-0.0.2-0.tar.bz2”h0Œ@8e3a8fca8e76a35f778449afb91a53d3255a721e07625973c9cb67fff18c21cd”h2NhNh3(Œcyclus”Œfixie”Œjinja2”Œpprintpp”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEMÝ(hFˆubh)”}”(hŒ	blackbook”h#Œ0.0.6”h%Œpy_0”h'K hhh(h)hŒblackbook-0.0.6-py_0.tar.bz2”h+Œ dd61ace5e64def43df737e2b5070e3a8”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/blackbook-0.0.6-py_0.tar.bz2”h0Œ@6608fca9e510b856b9bcf4f1a213ec32b5ccab8c66366d5dedde88ab3869f66c”h2NhNh3Œblack >=18.9b0”Œloguru >=0.2.5”Œ
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matplotlib”Œnbconvert >=5.1.1”Œnbformat”Œnotebook >=5.0.0”Œpandas”Œprometheus_client”Œprompt_toolkit”Œpython >=3.6”Œsos >=0.19.2”Œtabulate”t”h9h?h@ŒBSD”hBŒBSD”hDGA×Z°àË¥ãhEJ˜† hFˆubh)”}”(hŒthree.js”h#Œ122”h%Œ
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r-ridigbio”h#Œ0.3.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ridigbio-0.3.6-r41hc72bb7e_0.tar.bz2”h+Œ 60120f3a36cda98443bbb6ac0e23e3dd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ridigbio-0.3.6-r41hc72bb7e_0.tar.bz2”h0Œ@532cf3921a69aa3b9c29466760d81d558f085bffa50b0f635b55e0e1cce4cd01”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
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av >=0.4.0”Œnumpy”Œpython”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÜÌ¡‚~úhEM@hFˆubh)”}”(hŒipython_genutils”h#Œ0.2.0”h%Œpy_1”h'Khhh(h)hŒ#ipython_genutils-0.2.0-py_1.tar.bz2”h+Œ 5071c982548b3a20caf70462f04f5287”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ipython_genutils-0.2.0-py_1.tar.bz2”h0Œ@0fafbc60209f1d8c0b89a2f79f3ff0f7bc45589a23da1d2e5cc55bcca906707b”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hDGAÖÐ)ZqÊÁhEM:ThFˆubh)”}”(hŒ
multi_rake”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%multi_rake-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 82ac8ce787477ca6263bfa2d9b20b606”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/multi_rake-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@cf25f18f3094a4d092ffd58e91be985038549cfda1a7c78e858352f6a845667a”h2NhNh3(Œnumpy >=1.14.4”Œpycld2 >=0.41”Œpyrsistent >=0.14.2”Œpython >=3.5”Œregex >=2018.6.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ`®bÑ‰7hEM	hFˆubh)”}”(hŒr-metbrewer”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-metbrewer-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 4df36733d641f0817a42dcef5b93e13e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metbrewer-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@844afa7125ea45ca6604c787ace2f20c3a3aa35aee460a852c748658a0703d9e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÒRÉ•ãThEJ8. hFˆubh)”}”(hŒr-ggvenndiagram”h#Œ1.2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-ggvenndiagram-1.2.2-r41hc72bb7e_1.tar.bz2”h+Œ 16f42414ff65bae6cccb74611b84618c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ggvenndiagram-1.2.2-r41hc72bb7e_1.tar.bz2”h0Œ@dcd7db9ddd4be298b5d3f5219c61e0dd294a17a985583e19efe3f819c1496504”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-plotly”Œr-purrr”Œr-rvenn”Œr-sf”Œr-tibble”Œr-yulab.utils”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒpÁ¡‰7hEJn_A hFˆubh)”}”(hŒmaterial-design-lite”h#Œ1.3.0”h%j3G h'K hhh(h)hŒ$material-design-lite-1.3.0-0.tar.bz2”h+Œ eacf3d9604d8300838b98ef8581c4c42”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/material-design-lite-1.3.0-0.tar.bz2”h0Œ@145ff87ebf0b94cc2ae5440cc726dcf11d52b8c3b780e2b4970dc19b3d31b5b3”h2NhNh3)h9hºh@Œ
Apache-2.0”hBŒApache”hEJ_á hFˆubh)”}”(hŒnapari-compressed-labels-io”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6napari-compressed-labels-io-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 5af46a4ebad20ac856c1b918e0c80123”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/napari-compressed-labels-io-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@ce7ceb3b3fb05190aea83711ca54b9d901ab46b999941f506ee6cef59f5e7bd8”h2NhNh3(Œ	dask-core”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.6”Œzarr”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ~·•ÂhEM90hFˆubh)”}”(hŒr-obistools”h#Œ0.0.10”h%Œr40hd8ed1ab_0”h'K hhh(h)hŒ(r-obistools-0.0.10-r40hd8ed1ab_0.tar.bz2”h+Œ efee6943176a7a1e65378f7222c1d9f3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-obistools-0.0.10-r40hd8ed1ab_0.tar.bz2”h0Œ@9a64f6d8d33db6fddae5c412b25ff205b1d7d7a5700b00ba6f4fb02a6b8485e4”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cowplot”Œr-data.tree”Œr-digest”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ	r-leaflet”Œr-maps”Œ
r-rappdirs”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-rmarkdown”Œr-sf”Œr-sp”Œ	r-stringr”Œr-tidyr”Œr-worrms”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØcp01'hEJÏ	 hFˆubh)”}”(hŒgoogle-cloud-dns”h#Œ0.34.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,google-cloud-dns-0.34.1-pyhd8ed1ab_0.tar.bz2”h+Œ ef2b1f2120c89bf893c38edb298d26e5”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/google-cloud-dns-0.34.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4adccd4f83c14b881681bcd2506ec2085768509d753b47942d4287ca3d59f560”h2NhNh3Œ#google-cloud-core >=1.3.0,<3.0.0dev”Œpython >=3.7”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ´`ŒoÎÙhEM¬MhFˆubh)”}”(hŒ	r-ppclust”h#Œ1.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-ppclust-1.1.0-r40h6115d3f_1.tar.bz2”h+Œ e38e4d7ce0dd767d1208f9c86221140f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ppclust-1.1.0-r40h6115d3f_1.tar.bz2”h0Œ@f9be6fcd311d0d3d7e3d746f43a72f81665004adeba789595a08d1462f8f3370”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-inaparc”Œr-mass”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬m
èQìhEJáÎ hFˆubh)”}”(hŒr-jsonld”h#Œ2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-jsonld-2.2-r41hc72bb7e_0.tar.bz2”h+Œ df17a46e84b5063a86dad35440ecf0b3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jsonld-2.2-r41hc72bb7e_0.tar.bz2”h0Œ@0b935d9ab7f7b1e46992948280c0cd40bcc9b152aa822d062fd693fe16e69d78”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl >=2.7”Œ
r-jsonlite”Œr-v8”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ*ì^[C–hEJqA hFˆubh)”}”(hŒdataclasses”h#Œ0.8”h%Œpyh787bdff_2”h'Khhh(h)hŒ$dataclasses-0.8-pyh787bdff_2.tar.bz2”h+Œ ed959a4ba14e6ddfa898630a5474a601”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dataclasses-0.8-pyh787bdff_2.tar.bz2”h0Œ@99869a051cc013089ff502fd1eb041749f502467d812f433d8f998fb2fd065b5”h2NhNh3Œpython >=3.6,<3.7”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØEûÞ`BhEM¤WhFˆubh)”}”(hŒ#xcb-util-keysyms-devel-cos7-aarch64”h#Œ0.4.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ>xcb-util-keysyms-devel-cos7-aarch64-0.4.0-h9b0a68f_105.tar.bz2”h+Œ 7f4a42f5759160eced790a89f988b00c”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-devel-cos7-aarch64-0.4.0-h9b0a68f_105.tar.bz2”h0Œ@540523c207fe49a0bee9d9f638a62abcbc7be3103c8db499cb71c89ef87492ae”h2NhNh3Œ+xcb-util-keysyms-cos7-aarch64 ==0.4.0 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@XÞ ƒhEMšhFˆubh)”}”(hŒndf”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒndf-0.1.4-py_0.tar.bz2”h+Œ c2a0a71a220216df45c904610ad824af”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/ndf-0.1.4-py_0.tar.bz2”h0Œ@0328e9ccdc8fba59d14e1c7ee5b4daee35ac9a4cfee49662a19f5dc81fe9a885”h2NhNh3Œnumpy >=1.13.0”Œ
python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGA×$¾ì7²hEJ§¨I hFˆubh)”}”(hŒpciutils-cos7-aarch64”h#Œ3.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1pciutils-cos7-aarch64-3.5.1-h9b0a68f_1105.tar.bz2”h+Œ 4fc14ebc364d4013bcbb77262bd52877”h.Œ_https://conda.anaconda.org/conda-forge/noarch/pciutils-cos7-aarch64-3.5.1-h9b0a68f_1105.tar.bz2”h0Œ@bbf587eacf5aa8d60f02867842b6c03e62e15f3ac6a331652c66749d5e51339c”h2NhNh3Œ)pciutils-libs-cos7-aarch64 ==3.5.1 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@‘A‰7hEJd hFˆubh)”}”(hŒr-rsolnp”h#Œ1.16”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ&r-rsolnp-1.16-r41ha770c72_1003.tar.bz2”h+Œ 8ebf1826aedd703c54ecf8baee5aa5df”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rsolnp-1.16-r41ha770c72_1003.tar.bz2”h0Œ@0b5ec28403cf5e9d9971862aea100a5ae89db5b0eae54f43beaf47eeafdf89d8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-truncnorm”†”h9hºh@ŒGPL”hBŒGPL”hDGAØ*âØ¾vÉhEJ hFˆubh)”}”(hŒlibnl-devel-cos6-x86_64”h#Œ1.1.4”h%Œh1795305_101”h'Kehhh(h)hŒ2libnl-devel-cos6-x86_64-1.1.4-h1795305_101.tar.bz2”h+Œ df27233df70569e4a3578de281dce359”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos6-x86_64-1.1.4-h1795305_101.tar.bz2”h0Œ@7a0ed356b64c4eb95214c51139b217659466d5dab87694c8061de63026fd6f21”h2NhNh3Œlibnl-cos6-x86_64 1.1.4”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÄÇžº^hEJun	 hFˆubh)”}”(hŒr-captioner”h#Œ2.2.3”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ*r-captioner-2.2.3-r40hc72bb7e_1004.tar.bz2”h+Œ 709bed3044064d779494affb7293702e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-captioner-2.2.3-r40hc72bb7e_1004.tar.bz2”h0Œ@a21fda24efbde52ab1fa7bd5f9e96ba484ed53462664c42b6807416063a29b76”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+0x©&éhEMôšhFˆubh)”}”(hŒr-gridgraphics”h#Œ0.5_1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ*r-gridgraphics-0.5_1-r36hc72bb7e_0.tar.bz2”h+Œ ad2d4d87c3b529803e83fb0a9b17c416”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gridgraphics-0.5_1-r36hc72bb7e_0.tar.bz2”h0Œ@ec582e65d61f1ab42abfaf8af11080084d35a72fd7992a05d9318c7aacdbc63a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×õ¶W~ÙhEJÂ hFˆubh)”}”(hŒazure-cli-core”h#Œ2.0.61”h%Œpy_0”h'K hhh(h)hŒ"azure-cli-core-2.0.61-py_0.tar.bz2”h+Œ 3c19b2489b0d1f239220ec0acba70b3d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/azure-cli-core-2.0.61-py_0.tar.bz2”h0Œ@9015ec646c39447b177d664d03ad59b6a9472fcd3783fba2f129d033a92ba27c”h2NhNh3(Œadal >=1.2.0”Œantlr-python-runtime”Œargcomplete >=1.8.0”Œazure-cli-telemetry”Œazure-mgmt-resource 2.1.0”Œcolorama >=0.3.9”Œhumanfriendly >=4.7”Œjmespath”Œknack 0.5.1”Œmsrest >=0.4.4”Œmsrestazure >=0.4.25”Œparamiko >=2.0.8”Œpip”Œpygments”Œpyjwt”Œpyopenssl >=17.1.0”Œ
python >=3”Œpyyaml”Œrequests >=2.20.0”Œsix”Œtabulate >=0.7.7,<=0.8.2”Œwheel”t”h9h?h@ŒMIT”hBŒMIT”hDGA×hã€Ã¥ãhEJE hFˆubh)”}”(hŒlibxinerama-cos6-x86_64”h#Œ1.1.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2libxinerama-cos6-x86_64-1.1.3-hdf0574f_102.tar.bz2”h+Œ 77610f8dceb69e23023263b416687cf7”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxinerama-cos6-x86_64-1.1.3-hdf0574f_102.tar.bz2”h0Œ@c6d1a0c7893032324e2d094b2a77187800796bf6a04a9496c839d3cc1d37109d”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ä¹‡hEME"hFˆubh)”}”(hŒr-rmdpartials”h#Œ0.5.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-rmdpartials-0.5.8-r41hc72bb7e_1.tar.bz2”h+Œ 269c44aa4c8a0ba516f56f16500b2906”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rmdpartials-0.5.8-r41hc72bb7e_1.tar.bz2”h0Œ@83f9211feaf54f95b45037aba8f2ab6e69dc1733d999133b555f686fa641fbaa”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-knitr”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐðÏ\Ý/hEMÇÜhFˆubh)”}”(hŒlibxau-cos7-x86_64”h#Œ1.0.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ.libxau-cos7-x86_64-1.0.8-ha826a6f_1103.tar.bz2”h+Œ b981b2a458f36a547ca561f73d600580”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-x86_64-1.0.8-ha826a6f_1103.tar.bz2”h0Œ@1e7b53ce07f87342af9aa185a02ed3db10ec23dc89101aa7d7824d683c259eb3”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0H>ÙhEMíahFˆubh)”}”(hŒhasasia”h#Œ1.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"hasasia-1.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 7016f931af6286397a16cda851f321df”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/hasasia-1.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@46280da802b7846235049387c10eb1d34dd17680630e4cfd201c1a45496a1dfc”h2NhNh3(Œastropy >=3.0”Œnumpy >=1.14”Œpython >=3.5”Œscipy >=1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØPö­¬hEJ±; hFˆubh)”}”(hŒipyx”h#Œ0.1.8”h%Œpyh1d7be83_0”h'K hhh(h)hŒipyx-0.1.8-pyh1d7be83_0.tar.bz2”h+Œ 511083dc3a207f23f2ec9ac83e3fdd49”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ipyx-0.1.8-pyh1d7be83_0.tar.bz2”h0Œ@5057a4ead4ae6bc9afda3bad202b6a23fb4598e9de8594852275031ce52cecd3”h2NhNh3Œipycytoscape”Œipywidgets >=7.0.0”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØr#sSøhEMÌ‰hFˆubh)”}”(hŒsagemaker-chainer-container”h#Œ1.0.9.post0”h%Œpy_0”h'K hhh(h)hŒ4sagemaker-chainer-container-1.0.9.post0-py_0.tar.bz2”h+Œ b1a5b8fe08256d8ab98f7e39d6744f2e”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/sagemaker-chainer-container-1.0.9.post0-py_0.tar.bz2”h0Œ@89af04224a39ad6e60af9e402130fe888daef8e10b2003c11e69d2e219365dc6”h2NhNh3(Œchainer >=5.0.0”Œnumpy >=1.15.2”Œpython >=3.5”Œretrying >=1.3.3”Œsagemaker_containers >=2.5”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×Ÿ“ShEM 8hFˆubh)”}”(hŒ
r-striprtf”h#Œ0.5.2”h%Œr36h5b6a25b_1”h'Khhh(h)hŒ&r-striprtf-0.5.2-r36h5b6a25b_1.tar.bz2”h+Œ c806b85d9c3341423dd678a99aad16b9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-striprtf-0.5.2-r36h5b6a25b_1.tar.bz2”h0Œ@b0b23145973ef377be5fd349282abe541a35d40c1c911530476400c7df5b4d40”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-magrittr”Œr-rcpp”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ß{übhEJ3q hFˆubh)”}”(hŒ	fprettify”h#Œ0.3.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$fprettify-0.3.7-pyhd8ed1ab_0.tar.bz2”h+Œ 153742a29b4c22ee54442fb93a0e9127”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fprettify-0.3.7-pyhd8ed1ab_0.tar.bz2”h0Œ@d3242d15d46b7c101b468859e4c6d63b867e24b5f05f0afacc29945a4ee24aa8”h2NhNh3Œconfigargparse”Œpython >=3.5”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØgðLì›¦hEJÚ hFˆubh)”}”(hŒface_recognition”h#Œ1.3.0”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ+face_recognition-1.3.0-pyh9f0ad1d_1.tar.bz2”h+Œ 6b6349041c1ccc0bb82200c27005bed1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/face_recognition-1.3.0-pyh9f0ad1d_1.tar.bz2”h0Œ@7280e6ad2bd6b1f365c6786a019207707da9d83d9fe34ea9dd38b41ef1e73706”h2NhNh3(Œclick >=6.0”Œdlib >=19.7”Œface_recognition_models >=0.3.0”Œnumpy >=1.8”Œpillow”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA××çÌ=ãThEM±BhFˆubh)”}”(hŒ	r-mcbiopi”h#Œ1.1.6”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-mcbiopi-1.1.6-r36h6115d3f_1002.tar.bz2”h+Œ 3662d0090fb9fa3c3f1850164d6644c1”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mcbiopi-1.1.6-r36h6115d3f_1002.tar.bz2”h0Œ@5579f8c887fd3f20bddfc3113a6c50ce5f1bc90d075da90a52dbe0816e072f30”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGA×¬­Ïv‡+hEMv®hFˆubh)”}”(hŒr-svunit”h#Œ1.0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-svunit-1.0.6-r41hc72bb7e_1.tar.bz2”h+Œ d3c471c1de555904bc30dcd5118f7368”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-svunit-1.0.6-r41hc72bb7e_1.tar.bz2”h0Œ@200d0d96245b8b1129f2317fd2618766eedc5402ade06de38de8e92e7e778578”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ
Û÷ÏhEJ«	 hFˆubh)”}”(hŒht”h#Œ1.0.0”h%Œpyh44b312d_0”h'K hhh(h)hŒht-1.0.0-pyh44b312d_0.tar.bz2”h+Œ cdbe5ae298b889b939243cba827de77b”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/ht-1.0.0-pyh44b312d_0.tar.bz2”h0Œ@cb6da721e5373373fdc72b5feac5320ed609ace0a7b1f8b70d29fc7528291b53”h2NhNh3(Œfluids >=0.1.64”Œnumpy >=1.5.0”Œpython”Œscipy >=0.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÇÉ?ïžhEJj® hFˆubh)”}”(hŒds-lime”h#Œ0.1.1.27”h%Œpy_1”h'Khhh(h)hŒds-lime-0.1.1.27-py_1.tar.bz2”h+Œ 3271d4de3d8372a1ff8a4db261d966ee”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/ds-lime-0.1.1.27-py_1.tar.bz2”h0Œ@6aae759e88ee79ec2d55177917272c9677a1dbb5323795c02c5bcceae41f5727”h2NhNh3(Œnumpy”Œpython”Œscikit-learn >=0.18”Œscipy”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAÖÒ¡é³33hEJÞV hFˆubh)”}”(hŒr-ccremover”h#Œ1.0.4”h%Œr36_1002”h'Mêhhh(h)hŒ"r-ccremover-1.0.4-r36_1002.tar.bz2”h+Œ bf90c74b12361fe685846ce76c359a92”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ccremover-1.0.4-r36_1002.tar.bz2”h0Œ@a9301de554e5bdda5efd045bacdc8535e24021f033775d4d3516491144cd10f7”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬ù"m¸hEJdÉ" hFˆubh)”}”(hŒjupyterlab-github”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jupyterlab-github-3.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2c7f4ea067ac22a2d2aa854490eff654”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-github-3.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3dc8d10ce30ab1204479d1f7df9d221005f8605cfb1a64de6825d229380a29ca”h2NhNh3Œjupyterlab >=3.0,<4”Œnotebook <7”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¶ÍXžVhEJ©+ hFˆubh)”}”(hŒ	r-ggparty”h#Œ1.0.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ%r-ggparty-1.0.0-r35h6115d3f_1.tar.bz2”h+Œ 6c2b3a8fbdf0ec90fdd00c6961917c5c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggparty-1.0.0-r35h6115d3f_1.tar.bz2”h0Œ@913600f1f7351dfe22a6a4db8111425543462f91f7ebf6c238e23382447d942b”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-gtable”Œ
r-partykit”Œr-rlang”Œ
r-survival”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×Ma ZÀƒhEJÌ 	 hFˆubh)”}”(hŒ
python-fpe”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%python-fpe-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9dae626b7b3e630aef270ccb921703c1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/python-fpe-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@711e0ef51e1e696d981cf8d9d86c29f42e89f51dd1a66c40919cb90389b3304e”h2NhNh3Œpycryptodome”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØs¸	nÙhEMŽ[hFˆubh)”}”(hŒstandard_names”h#Œ0.2.5”h%Œpy_0”h'K hhh(h)hŒ!standard_names-0.2.5-py_0.tar.bz2”h+Œ b882441a8b97c59f7fcf967bac9d3cfc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/standard_names-0.2.5-py_0.tar.bz2”h0Œ@d4739d75b18691f4d362038208f6fdbb32b40631a856bd316a8e9e27a7ef5c3b”h2NhNh3Œpython”Œpyyaml”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×+6‘¢ÀƒhEMv–hFˆubh)”}”(hŒgoogle-cloud-bigquery”h#Œ1.28.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ1google-cloud-bigquery-1.28.0-pyh9f0ad1d_0.tar.bz2”h+Œ eea7ad98432b7a0a8807e3db162a4f77”h.Œ_https://conda.anaconda.org/conda-forge/noarch/google-cloud-bigquery-1.28.0-pyh9f0ad1d_0.tar.bz2”h0Œ@0c99b5c8a53d06a10bbb1c559c5f610bc827eace4ed9b99b831148a59c3fabd4”h2NhNh3(Œ#google-cloud-bigquery-core 1.28.0.*”Œgoogle-cloud-bigquery-storage”Œipython”Œpandas”Œpyarrow”Œpython”Œtqdm”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ÞÚÄ\)hEM&'hFˆubh)”}”(hŒr-gghoriplot”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-gghoriplot-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 4002fc7cefc440f889e8d3221fe30b5d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gghoriplot-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@cc2c215a2f94bc0eb0a85b5e221bceb47f81cdab465d1ae95d0b2cf799bd00a0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-glue”Œ
r-magrittr”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ~¡hEJ‡8 hFˆubh)”}”(hŒhandlebars.js”h#Œ4.5.3”h%j3G h'K hhh(h)hŒhandlebars.js-4.5.3-0.tar.bz2”h+Œ f76250c5fb46a9d71df09816f2b0ff86”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/handlebars.js-4.5.3-0.tar.bz2”h0Œ@2cb6763c68ac0ba2a97107e9949a776a085d666f89678c8c8668ec7219b51fb3”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×u¶_×²hEJ³ hFˆubh)”}”(hŒr-rsolnp”h#Œ1.16”h%Œr35_1002”h'Mêhhh(h)hŒr-rsolnp-1.16-r35_1002.tar.bz2”h+Œ cedb9f957658b03ea2969d13d50ad577”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-rsolnp-1.16-r35_1002.tar.bz2”h0Œ@4e2eda7008bcc0ba0f04aa94ddb45ec264474a0162db1338ef8dd5fdadc70286”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-truncnorm”†”h9hºh@ŒGPL”hBŒGPL”hDGA×L]1ZñªhEJ" hFˆubh)”}”(hŒr-widgetframe”h#Œ0.3.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-widgetframe-0.3.1-r36h6115d3f_1.tar.bz2”h+Œ ce57371cee2f12bd5bd0a6b86fc2e5c0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-widgetframe-0.3.1-r36h6115d3f_1.tar.bz2”h0Œ@f0946572803efbaac4bcc7921cfcc2b331e8b4a191135ba7c4a4e54b3dec5415”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Áß{VhEJ^ hFˆubh)”}”(hŒr-rgee”h#Œ1.1.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-rgee-1.1.5-r42hc72bb7e_1.tar.bz2”h+Œ bd708b5b808041283b7fb8f22f087d9b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rgee-1.1.5-r42hc72bb7e_1.tar.bz2”h0Œ@3d537572f86c85f7c68c9297bfdf389c2289d418544bd46504f657971a89b5b3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-crayon”Œ
r-jsonlite”Œr-leafem”Œr-leaflet >=2.0.2”Œ
r-magrittr”Œ
r-processx”Œr-r6”Œr-reticulate >=1.24”Œr-rstudioapi >=0.7”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÓI¬2°!hEJÁ4? hFˆubh)”}”(hŒunumpy”h#Œ0.6.1”h%Œpy_0”h'K hhh(h)hŒunumpy-0.6.1-py_0.tar.bz2”h+Œ 0cc8a1f20b0d20873ccca5d827f1e286”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/unumpy-0.6.1-py_0.tar.bz2”h0Œ@b260f1a6ae86f42de8525595ee8030d059b44b73cc472d7eb9d5f51bc88d7709”h2NhNh3Œpython >=3.5”Œ
uarray 0.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×=å]ÂhEM¼HhFˆubh)”}”(hŒr-conditionz”h#Œ0.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ(r-conditionz-0.1.0-r40h6115d3f_1.tar.bz2”h+Œ 49f01402f202632f6d569409b38b433c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-conditionz-0.1.0-r40h6115d3f_1.tar.bz2”h0Œ@aa5964121c4470e2323a58e900ebe82d227e872237e24adc060aebcfdcf10178”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-r6”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×·çLl‹hEM¹úhFˆubh)”}”(hŒmesa-libgl-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3mesa-libgl-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h+Œ f0e3633c4da13c9a390636ee89ff5009”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@ef407436050032e12082ca83af7c0949427ddb8e9f47c7f02c14cc009a8dc941”h2NhNh3Œ"libdrm-cos7-aarch64 >=2.4.83 *_105”Œ'libglvnd-glx-cos7-aarch64 >=1.0.1 *_105”Œ)mesa-libglapi-cos7-aarch64 ==18.3.4 *_105”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^t¬hEJ„ hFˆubh)”}”(hŒr-lsd”h#Œ4.1_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-lsd-4.1_0-r40hc72bb7e_0.tar.bz2”h+Œ 5f01e2c027a3b0c8bdbedf018b880d49”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lsd-4.1_0-r40hc72bb7e_0.tar.bz2”h0Œ@7b4cb49e1c8846c4abf2d5af1e3327c0f77c55328ef922dad8bdb9a4c1ae831f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only OR GPL-3.0-only”hBŒOTHER”hDGAØ+"Ü­?}hEJóÃ hFˆubh)”}”(hŒpolycircles”h#Œ0.3.7”h%Œpy_0”h'K hhh(h)hŒpolycircles-0.3.7-py_0.tar.bz2”h+Œ 3b31bbfa43854c63fde519f54ddccb04”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/polycircles-0.3.7-py_0.tar.bz2”h0Œ@c9747b3a8dde63b019af3ede4188d68caf8a181c909d456f3373ab1eace8acc4”h2NhNh3(Œgeographiclib”Œgeopy >=0.99”Œnose >=1.3.0”Œpython”Œsimplekml >=1.2.3”t”h9h?h@ŒMIT”hBŒMIT”hDGA×LSÉbhEMÉhFˆubh)”}”(hŒ
r-incadata”h#Œ0.9.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-incadata-0.9.1-r41hc72bb7e_2.tar.bz2”h+Œ d94552562bd4a9c0170f4d6aef6f5323”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-incadata-0.9.1-r41hc72bb7e_2.tar.bz2”h0Œ@4468b1662d33cd8814044288dca1148c92ee9b894579740d6cac7b69405a5fe2”h2NhNh3(Œr-backports”Œr-base >=4.1,<4.2.0a0”Œ	r-decoder”Œr-dplyr”Œr-rvest”Œr-sweidnumbr”Œr-xml2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒËÐ‚ñªhEJ€w hFˆubh)”}”(hŒlibxi-cos7-ppc64le”h#Œ1.7.9”h%Œhdf0574f_102”h'Kfhhh(h)hŒ-libxi-cos7-ppc64le-1.7.9-hdf0574f_102.tar.bz2”h+Œ 573c977a5df3141457adc2dbcde5cc0c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-ppc64le-1.7.9-hdf0574f_102.tar.bz2”h0Œ@dc62fb44c9d523c8ca699f2d83d28f54b35d7c627bdc2b70d0dff16a61f96c27”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶xiÛ#hEMJ”hFˆubh)”}”(hŒr-exposition”h#Œ2.8.23”h%Œr351h6115d3f_0”h'K hhh(h)hŒ*r-exposition-2.8.23-r351h6115d3f_0.tar.bz2”h+Œ 25c41db6301ea204d571ad1a958cbb3a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-exposition-2.8.23-r351h6115d3f_0.tar.bz2”h0Œ@840441b9d93334d7c2761b7ec1609052053da7c6a11931cb6dedfc340cb65b02”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-prettygraphs >=2.1.4”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×ôý?}hEJ( hFˆubh)”}”(hŒr-reproj”h#Œ0.4.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-reproj-0.4.3-r41hc72bb7e_0.tar.bz2”h+Œ ac83ff199aad5dea64311fa6f1cd0272”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reproj-0.4.3-r41hc72bb7e_0.tar.bz2”h0Œ@650015d617e364fa623859b72e3c02e7dbf68c8f656145d28f4e604d63a0a458”h2NhNh3(Œproj >=4.4.6”Œr-base >=4.1,<4.2.0a0”Œr-crsmeta >=0.3.0”Œr-proj >=0.1.6”Œr-proj4”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ×N˜´9hEJ˜à hFˆubh)”}”(hŒ
pyunlocbox”h#Œ0.5.2”h%Œpy_0”h'K hhh(h)hŒpyunlocbox-0.5.2-py_0.tar.bz2”h+Œ a286d5d4faff6d71133c8dbfbc6bb199”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pyunlocbox-0.5.2-py_0.tar.bz2”h0Œ@20493bc78c57d3e9e8db75bae9cde376b4be4ec72ca42ea83451290611506183”h2NhNh3Œnumpy”Œpython”Œscipy”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEMUhFˆubh)”}”(hŒr-trycatchlog”h#Œ1.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-trycatchlog-1.3.1-r42hc72bb7e_1.tar.bz2”h+Œ fceacb5736b668f7954f79d9b53c5cf7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-trycatchlog-1.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@470f803010660fa06bb1f64751675f9bda79309fc0b6bfde23da54bbef10c06e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑö\Ñë…hEJ hFˆubh)”}”(hŒr-rdrop2”h#Œ0.8.2.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-rdrop2-0.8.2.1-r36h6115d3f_0.tar.bz2”h+Œ d9e5e9a4695254a9e1c2cfa4f6f7bafc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rdrop2-0.8.2.1-r36h6115d3f_0.tar.bz2”h0Œ@7f59b1cf8add8247ffc6a4959ffb63dc5c0215a6932289e696d14af4401cee9b”h2NhNh3(Œr-assertive”Œr-base >=3.6,<3.7.0a0”Œr-digest”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ê®hÙ&éhEJÁ‡ hFˆubh)”}”(hŒpandasql”h#Œ0.7.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pandasql-0.7.3-pyhd8ed1ab_0.tar.bz2”h+Œ 7c72bbfc754396ade8e88759cbe0ac4a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pandasql-0.7.3-pyhd8ed1ab_0.tar.bz2”h0Œ@bfaf266a36050c39e3e296b5defbde5cf4adbe3f2850b092db742596c8c9c037”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.6”Œ
sqlalchemy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ1ì¢¼jhEMfhFˆubh)”}”(hŒ	refinenet”h#Œ0.9.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$refinenet-0.9.5-pyhd8ed1ab_0.tar.bz2”h+Œ f532ff79b289885a0057f99267afe4b5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/refinenet-0.9.5-pyhd8ed1ab_0.tar.bz2”h0Œ@60396beb319bfe64a071d90bf5769b52eb8ab4aa25bc928b7eb0775c6dc65067”h2NhNh3(Œacrv_datasets”Œnumpy”Œpillow”Œpycocotools”Œpython >=3.6”Œpytorch”Œscipy”Œsix”Œtorchvision”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ-Ê|™7LhEMlhFˆubh)”}”(hŒ	cmcrameri”h#Œ1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cmcrameri-1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 3c40f216d5776d833893f8a38397aa69”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cmcrameri-1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e6fbb6db8fe538cbc7054243fb46f1d5581cd8d37c7c655e9d861f678f4f4224”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØcî!°õÃhEJñº hFˆubh)”}”(hŒr-turfr”h#Œ0.8_7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-turfr-0.8_7-r40hc72bb7e_0.tar.bz2”h+Œ 171f38503a57ffd2fb4110852f4f4716”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-turfr-0.8_7-r40hc72bb7e_0.tar.bz2”h0Œ@d123f9cc1595ba33ccd4ab3ada631a817790da7a2f6257b9dc126b8fdc605786”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.3.0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØQ×VhEM¹ÝhFˆubh)”}”(hŒr-shinyheatmaply”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-shinyheatmaply-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 3777db441cf74b7e6bbd8b4b18bcb3de”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinyheatmaply-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@4392ec5bf81c0c8dc86925684257c692752367446b146b30ee294854bcf87c1a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-heatmaply >=1.0.0”Œr-htmltools”Œr-plotly”Œr-readxl”Œr-rmarkdown”Œr-shiny”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØa« ,“hEJÕ! hFˆubh)”}”(hŒr-shinyloadtest”h#Œ1.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-shinyloadtest-1.1.0-r40hc72bb7e_0.tar.bz2”h+Œ bec8a017fcbffa00bc304256abfaa57d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-shinyloadtest-1.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@c3420cd4407a388b301f25b5beac8369e7fa0b074a0e5f774da99bbda410c4c6”h2NhNh3(Œpandoc >=2.2”Œr-base >=4.0,<4.1.0a0”Œr-curl”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-httpuv >=1.5.2”Œ
r-jsonlite”Œ
r-magrittr”Œr-r6”Œr-rlang >=0.1.2”Œr-scales”Œ	r-stringr”Œ	r-svglite”Œr-vroom”Œr-websocket >=1.0.0”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ‘²Á¼‹DhEJÔ	 hFˆubh)”}”(hŒr-zcompositions”h#Œ1.4.0_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ-r-zcompositions-1.4.0_1-r42hc72bb7e_1.tar.bz2”h+Œ 44245dba55ae27cc645caa66684791c7”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-zcompositions-1.4.0_1-r42hc72bb7e_1.tar.bz2”h0Œ@8ec00c5ed771189169279d652004056dee3e42ad6296d2da06f59a88a848db4b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-nada”Œr-truncnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ†’?®hEJÊæ hFˆubh)”}”(hŒr-leafpm”h#Œ0.1.0”h%Œr351h6115d3f_0”h'K hhh(h)hŒ%r-leafpm-0.1.0-r351h6115d3f_0.tar.bz2”h+Œ 28e18b63b44386777aa784ac655c2877”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-leafpm-0.1.0-r351h6115d3f_0.tar.bz2”h0Œ@d0409b827fed5236e44d2b3dbdfd92139e4f7c5f17919d58408509de43c5b7de”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-sf >=0.5_2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×7Èw²hEJÐ hFˆubh)”}”(hŒr-rpivottable”h#Œ0.3.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-rpivottable-0.3.0-r41hc72bb7e_2.tar.bz2”h+Œ 575bea3da47c871ba9dbf236dd988823”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rpivottable-0.3.0-r41hc72bb7e_2.tar.bz2”h0Œ@02737af51affbdff87629457bd553398aba4c7b591a47a5de14dbe680046e13e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets >=0.5”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ+OT(öhEJ„ hFˆubh)”}”(hŒr-futile.logger”h#Œ1.4.3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ.r-futile.logger-1.4.3-r41hc72bb7e_1003.tar.bz2”h+Œ c29b2d0547e44751529e51f667d39b19”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-futile.logger-1.4.3-r41hc72bb7e_1003.tar.bz2”h0Œ@fb0c4b46ef5c56fbda23f2c81696fce5d582450ad7dc05c5dec63d07c875aa1c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-futile.options”Œr-lambda.r >=1.1.0”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ*ñ„ZhEJº¯ hFˆubh)”}”(hŒnumactl-devel-cos6-x86_64”h#Œ2.0.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ5numactl-devel-cos6-x86_64-2.0.9-ha826a6f_1103.tar.bz2”h+Œ 9989194dd6e76a2303c327177f77bb20”h.Œchttps://conda.anaconda.org/conda-forge/noarch/numactl-devel-cos6-x86_64-2.0.9-ha826a6f_1103.tar.bz2”h0Œ@e3fce9d43c8eb806dc9391f6b75f2406b3115f0ea91409da782d9d92014171d2”h2NhNh3Œ"numactl-cos6-x86_64 ==2.0.9 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2/GPLv2”hBŒGPL2”hDGA×Æ2&0ƒhEM ×hFˆubh)”}”(hŒpython-jose”h#Œ3.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&python-jose-3.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ b0aefbfed47d41571ab820abe517c9f0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/python-jose-3.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@00ccf3411326e312d0f72e6859208f1ebcf6f64bb59c85711600ccc40ce52eb9”h2NhNh3(Œcryptography”Œfuture <1.0”Œpython >=3.6”Œsix <2.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ/+kSøhEJŠÄ hFˆubh)”}”(hŒrobotframework”h#Œ3.2.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)robotframework-3.2.2-pyh9f0ad1d_0.tar.bz2”h+Œ 1faf44d9a76019b0a3da4d02dead93ec”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/robotframework-3.2.2-pyh9f0ad1d_0.tar.bz2”h0Œ@3e5df041700b4598541f77e9fd64a7b27f33adc3359cead375df98f151251565”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×Ô5ç®$ÝhEJ) hFˆubh)”}”(hŒr-aws.signature”h#Œ0.6.0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ+r-aws.signature-0.6.0-r40h6115d3f_0.tar.bz2”h+Œ 267059dc49a35762ba15f79768674e31”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-aws.signature-0.6.0-r40h6115d3f_0.tar.bz2”h0Œ@d59e96d6ca62cd94d0b6c31966e1d6450389b1501038d638e311159b69eac23e”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-digest”‡”h9hºh@Œ
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r-filelock”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ?ñW hEJ†- hFˆubh)”}”(hŒ	r-plumber”h#Œ1.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-plumber-1.2.1-r41hc72bb7e_1.tar.bz2”h+Œ 46b30eb1e0ecf6a142ecb86880ee304a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-plumber-1.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@50407cea50e71698bc63b6ec2ef4c8027a374f9400235a3c97a3df566e1c1410”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-ellipsis >=0.3.0”Œr-httpuv >=1.5.0”Œr-jsonlite >=0.9.16”Œr-lifecycle >=0.2.0”Œ
r-magrittr”Œr-mime”Œr-promises >=1.1.0”Œr-r6 >=2.0.0”Œr-rlang”Œr-sodium”Œr-stringi >=0.3.0”Œr-swagger >=3.33.0”Œr-webutils >=1.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑjzMÓhEJ©Ý hFˆubh)”}”(hŒr-jose”h#Œ1.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-jose-1.2.0-r41hc72bb7e_1.tar.bz2”h+Œ a03a4cd54583aa5b90e0984077fb5bc7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jose-1.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@642d1465279707c55b0f977a76d8ff36930323ba5a44dfc39d5785bac85a0c9a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-openssl >=1.2.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ`‹+¶FhEJöÔ hFˆubh)”}”(hŒpciutils-devel-cos7-aarch64”h#Œ3.5.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6pciutils-devel-cos7-aarch64-3.5.1-h9b0a68f_105.tar.bz2”h+Œ 5e5c93fd32592e37f852adecd7e5a802”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-aarch64-3.5.1-h9b0a68f_105.tar.bz2”h0Œ@4cdeff44b1b40cb353dead30b91689c9cee1801fc19f79e5846f2a1ef04b517d”h2NhNh3Œ#pciutils-cos7-aarch64 ==3.5.1 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@]¿Qº^hEM6zhFˆubh)”}”(hŒr-ggplotify”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-ggplotify-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 34c10c58bc718a000ad24e3f05c3bbd9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggplotify-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@f2fe56a8585a55936f5094d8955d124fcbc01691e51b15b64900b3d66709815e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gridgraphics”Œr-yulab.utils”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØL‰âÉ&éhEJ2e hFˆubh)”}”(hŒr-manipulatewidget”h#Œ0.11.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ/r-manipulatewidget-0.11.1-r41hc72bb7e_1.tar.bz2”h+Œ f1382a1747c18dd4f30535412d40477a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-manipulatewidget-0.11.1-r41hc72bb7e_1.tar.bz2”h0Œ@f5f1e902b21be0c3dec2b897a76910b675c6dcbefb1908e7b746ffe6b5d6fdb2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-codetools”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-miniui”Œr-shiny >=1.0.3”Œ	r-shinyjs”Œ	r-webshot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐy±G®•      hEJóp& hFˆubh)”}”(hŒlibxdamage-cos7-ppc64le”h#Œ1.1.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libxdamage-cos7-ppc64le-1.1.4-h9b0a68f_105.tar.bz2”h+Œ b97fb850d70199818dc1bc939c742012”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-ppc64le-1.1.4-h9b0a68f_105.tar.bz2”h0Œ@054075e9fd4877dd7d6993f3fd8e2920d875b94bc79e6032d17ffe6f9c99489b”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ˆ˜‘‰7hEM-EhFˆubh)”}”(hŒpowerlaw”h#Œ1.4.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#powerlaw-1.4.6-pyh9f0ad1d_0.tar.bz2”h+Œ 05d96452290ac2f27cd77269031f62ee”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/powerlaw-1.4.6-pyh9f0ad1d_0.tar.bz2”h0Œ@8713f1c33d6fd314db5cce93b6af98ca0fb5d9adac4fab56e1cc4f9a9095d5b9”h2NhNh3(Œ
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r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL”hBŒGPL”hDGA×GvYQ&éhEJâ¥$ hFˆubh)”}”(hŒr-ica”h#Œ1.0_3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-ica-1.0_3-r40hc72bb7e_0.tar.bz2”h+Œ fd7df5c2eb88994e30aebb9e0266238d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ica-1.0_3-r40hc72bb7e_0.tar.bz2”h0Œ@02dcd19e7d2431ca76de415a57e0d9eb52cfe670de9017b49bd59805caa38198”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ²0©“ohEJŠ hFˆubh)”}”(hŒnss-cos7-x86_64”h#Œ3.44.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ,nss-cos7-x86_64-3.44.0-h9d98e8f_1104.tar.bz2”h+Œ ac3d3d53d0572faa3a921c1f5644d74c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos7-x86_64-3.44.0-h9d98e8f_1104.tar.bz2”h0Œ@88049695308d761b10d1a5dd6405d2707b5563c39909711a4da776637d798005”h2NhNh3(Œ nspr-cos7-x86_64 >=4.21.0 *_1104”Œ'nss-softokn-cos7-x86_64 >=3.44.0 *_1104”Œ$nss-util-cos7-x86_64 >=3.44.0 *_1104”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É€yG®hEJ¨ hFˆubh)”}”(hŒr-als”h#Œ0.0.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-als-0.0.7-r42hc72bb7e_1.tar.bz2”h+Œ 5ba97b3b14c8a6e93cd05ad48721fb4c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-als-0.0.7-r42hc72bb7e_1.tar.bz2”h0Œ@bce9f69117a302a031d094ef4abf37ecc4c51c706be714d500fa870f2b0fd747”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-iso”Œr-nnls >=1.1”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒª3ÞhEJÖó hFˆubh)”}”(hŒnotion-client”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(notion-client-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9f0c79b4af18684dc5f75bc052b9ef19”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/notion-client-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@18c74f16eaf8babace29fe36a3a992d5a36e9dfb58f0f59d400432c68a3fbc26”h2NhNh3Œhttpx >=0.15.0”Œpython >=3.6,<4.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ˜uŒ0ƒhEM³>hFˆubh)”}”(hŒtypes-unopy”h#Œ0.4.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&types-unopy-0.4.7-pyhd8ed1ab_0.tar.bz2”h+Œ 9df0dc2f33d24c61ab115d9350a6423a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/types-unopy-0.4.7-pyhd8ed1ab_0.tar.bz2”h0Œ@663ae6c0a17ec06591783ed209283d0e470a33fa599774ed09d71e3351f215f5”h2NhNh3Œpython >=3.7”Œtypes-uno-script >=0.1.0”Œtyping-extensions >=3.7.4.3”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ±#9 “uhEJ×. hFˆubh)”}”(hŒr-userfriendlyscience”h#Œ0.7.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ1r-userfriendlyscience-0.7.2-r41hc72bb7e_1.tar.bz2”h+Œ 27460c62a02b4722e7d34974e95b291e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-userfriendlyscience-0.7.2-r41hc72bb7e_1.tar.bz2”h0Œ@92d18fd980cd79d96d3b7efc45294800bb3d8feaac694170769ca0029501ce4b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-biasedurn”Œr-car”Œr-data.tree”Œr-diagrammer”Œr-digest”Œ	r-diptest”Œr-ggally”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-ggridges”Œr-gparotation”Œr-gridextra”Œr-gtable”Œr-knitr”Œr-lavaan”Œr-lme4”Œr-mass”Œr-mbess”Œr-minpack.lm”Œr-pander”Œr-plyr”Œr-psych”Œr-pwr”Œr-rcolorbrewer”Œr-rio”Œr-scales”Œr-scrt”Œr-suppdists”Œr-ufs >=0.0.1”Œ	r-viridis”Œr-xml”Œr-xtable”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ,e:VhEJî/ hFˆubh)”}”(hŒr-maldirppa”h#Œ1.1.0_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-maldirppa-1.1.0_1-r41hc72bb7e_1.tar.bz2”h+Œ 49aa5d3b314d393cb093d7721608ae8f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-maldirppa-1.1.0_1-r41hc72bb7e_1.tar.bz2”h0Œ@06705f76fbea08448d1e32625826f4664733e003bcd950bcd0d256127d26af91”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-maldiquant”Œr-robustbase”Œr-signal”Œ
r-waveslim”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒSyœ›¦hEJe~ hFˆubh)”}”(hŒjquery”h#Œ3.6.1”h%Œ
h76afe40_0”h'K hhh(h)hŒjquery-3.6.1-h76afe40_0.tar.bz2”h+Œ d64c84a1e6b1e85e4d897c45e734e4ac”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/jquery-3.6.1-h76afe40_0.tar.bz2”h0Œ@9859b818ff4911ee79c750eaa33fae71762a92d941c99a900f1a748c0fe4b306”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGAØÏmfk¥ãhEJh< hFˆubh)”}”(hŒxcb-util-renderutil-cos7-x86_64”h#Œ0.3.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ;xcb-util-renderutil-cos7-x86_64-0.3.9-h9d98e8f_1104.tar.bz2”h+Œ 7e7f95df67eebd733a932ed2c522cb42”h.Œihttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-cos7-x86_64-0.3.9-h9d98e8f_1104.tar.bz2”h0Œ@420cfcf96f37f76a3c230435c175147625234e0928de3622419e79fafe1428cd”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓhèbhEMZ5hFˆubh)”}”(hŒlibsepol-devel-cos7-aarch64”h#Œ2.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4libsepol-devel-cos7-aarch64-2.5-hdf0574f_102.tar.bz2”h+Œ 4d1d3fff76e21686d95c560a224c089c”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-aarch64-2.5-hdf0574f_102.tar.bz2”h0Œ@fcc0067bf536a39543127a6b9ca40c644b4aa85836ab155c080dbc6b7a8af234”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å+E¸hEM¿«hFˆubh)”}”(hŒ
r-sparsebn”h#Œ0.1.2”h%Œr40h6115d3f_0”h'K hhh(h)hŒ&r-sparsebn-0.1.2-r40h6115d3f_0.tar.bz2”h+Œ b9602d6d7e4301bbebfb7ced36ff2e53”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparsebn-0.1.2-r40h6115d3f_0.tar.bz2”h0Œ@d89e5a89b5d8aba7b7044f7e743912dc2b7e510100ec287297aad5590b932632”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ccdralgorithm >=0.0.4”Œr-discretecdalgorithm >=0.0.5”Œr-sparsebnutils >=0.0.5”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA××–+‡l‹hEJ`/ hFˆubh)”}”(hŒpciutils-libs-cos7-ppc64le”h#Œ3.5.1”h%Œ
h1341992_0”h'K hhh(h)hŒ3pciutils-libs-cos7-ppc64le-3.5.1-h1341992_0.tar.bz2”h+Œ ab16de7c64abd2564599fe53145a2798”h.Œahttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-ppc64le-3.5.1-h1341992_0.tar.bz2”h0Œ@fc4bcf961398cb840a0c34f1edec65bbbee80d56e4e9ba9c452055137cc8d7bc”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2”hBŒGPL2”hDGA×ŸÏPùÛhEMÑhFˆubh)”}”(hŒmeshplot”h#Œ0.4.0”h%Œpyhd3deb0d_2”h'Khhh(h)hŒ#meshplot-0.4.0-pyhd3deb0d_2.tar.bz2”h+Œ ffdb32f29eef377b5f2ea9578579094b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/meshplot-0.4.0-pyhd3deb0d_2.tar.bz2”h0Œ@60c529706dd504124911e465d3a5e8daff1eb933d6bad7c8ff851581c00701a4”h2NhNh3(Œ
ipywidgets”Œmatplotlib-base”Œnumpy”Œpython”Œ	pythreejs”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ	>»œzáhEM˜fhFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-tfautograph-0.3.2-r41hc72bb7e_1.tar.bz2”h+Œ 2e69e052cff32be3df019d493d8e736f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r41hc72bb7e_1.tar.bz2”h0Œ@ac4f36c2b716627f5ff8e28b42e3b18c6fc36142ad3dd371841b58bcd916156c”h2NhNh3Œr-backports”Œr-base >=4.1,<4.2.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¦¾S[ohEJ	Ë hFˆubh)”}”(hŒr-truncdist”h#Œ1.0_2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ(r-truncdist-1.0_2-r351h6115d3f_0.tar.bz2”h+Œ 5f85cc2db0ef4d22e24df9f950324544”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-truncdist-1.0_2-r351h6115d3f_0.tar.bz2”h0Œ@f31cc0aca1967d2a5a0f14d3ae6e8ae7a4cd5519949d37f552fc9be9bfb6629e”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-evd”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ÅÆŸl‹hEM‰³hFˆubh)”}”(hŒfontconfig-cos7-x86_64”h#Œ2.13.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3fontconfig-cos7-x86_64-2.13.0-h9d98e8f_1104.tar.bz2”h+Œ 3380e578f356ab06d54c6b39b795f60e”h.Œahttps://conda.anaconda.org/conda-forge/noarch/fontconfig-cos7-x86_64-2.13.0-h9d98e8f_1104.tar.bz2”h0Œ@7fc3f8fafb8249f59af441f06231f28caf8ba210c663acfb8b43b89649f7e185”h2NhNh3Œ!freetype-cos7-x86_64 >=2.8 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×É{‚—\)hEJƒ× hFˆubh)”}”(hŒr-demerelate”h#Œ0.9_3”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ+r-demerelate-0.9_3-r41ha770c72_1003.tar.bz2”h+Œ 7df1079644ac32bd146ddaeaf55644cb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-demerelate-0.9_3-r41ha770c72_1003.tar.bz2”h0Œ@2d821001b56ec69a9eda1d4fdf4264965be4840511f1e8d37d8d610ef8e37eed”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fts”Œr-mlogit”Œ	r-sfsmisc”Œr-vegan”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ÅÌ…¡ËhEJ# hFˆubh)”}”(hŒpannb”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pannb-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 8e4e75edbafca4a152bc3aab762a110e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pannb-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@22d0adca7499d167c41b43bafb1417745b4bfcbf21da2a8bba4c7f3efa436c6a”h2NhNh3Œpanflute >=2.1.3,<3.0.0”Œpython >=3.8”†”h6Œcoloredlogs >=14,<16”Œpandoc >=2.17,<2.18”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ|4‡|îhEM.hFˆubh)”}”(hŒecgtools”h#Œ	2022.10.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'ecgtools-2022.10.7-pyhd8ed1ab_0.tar.bz2”h+Œ e30b327d18c20f94a64ed4e2ece605e3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ecgtools-2022.10.7-pyhd8ed1ab_0.tar.bz2”h0Œ@5db7fbd19054b28c1f5d118a7b434c1e7c4a005d9b921551b38458e9b61cafc4”h2NhNh3(Œ	cf_xarray”Œ	dask-core”Œintake-esm >=2022”Œjoblib”Œnetcdf4”Œpandas”Œpydantic”Œpython >=3.8”Œpyyaml”Œtyper”Œxarray”t”h9h?h@Œ
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r-paintmap”h#Œ1.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ$r-paintmap-1.0-r41hc72bb7e_3.tar.bz2”h+Œ 8b7b734340b4091cea60783f525a2e3f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r41hc72bb7e_3.tar.bz2”h0Œ@046ff732ff6f02ce1492b5edd428eed2e3b1a08eb30f7fdb89529a313174c118”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
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telnetlib3”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%telnetlib3-1.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ b1cbc3364eda2aa04bd2eec1304b775c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/telnetlib3-1.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@8792be76389790c9cf7a6a9071b5e63aadc4350b799eff7b32cc75a3c9d7f954”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœž ÅhEMËÏhFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-tfautograph-0.3.2-r41hc72bb7e_0.tar.bz2”h+Œ db7292887853a47e58dc3a83c50c1eef”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r41hc72bb7e_0.tar.bz2”h0Œ@58d080e6c2a6ff611b60001488f6411162c9087a7829098d6381fb56b1bb1766”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-reticulate”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØQNžÞVhEJ‹É hFˆubh)”}”(hŒfonts-conda-forge”h#ja h%j3G h'K hhh(h)hŒfonts-conda-forge-1-0.tar.bz2”h+Œ f766549260d6815b0c52253f1fb1bb29”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2”h0Œ@53f23a3319466053818540bcdf2091f253cbdbab1e0e9ae7b9e509dcaa2a5e38”h2NhNh3(Œfont-ttf-dejavu-sans-mono”Œfont-ttf-inconsolata”Œfont-ttf-source-code-pro”Œfont-ttf-ubuntu”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×Y_NhshEMhFˆubh)”}”(hŒpanoptes-aggregation”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/panoptes-aggregation-4.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6c13ae65ae98956ea80947d2d32e5f76”h.Œ]https://conda.anaconda.org/conda-forge/noarch/panoptes-aggregation-4.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4180afd6b0dad4e420aac484ab4f4999b053993b758721a2327ed721e07f2a36”h2NhNh3(Œbeautifulsoup4 >=4.8.1,<4.11”Œcollatex-python >=2.2,<2.3”Œcython >=0.27”Œhdbscan >=0.8.20,<0.8.29”Œlxml >=4.4,<4.10”Œnumpy >=1.21.5,<1.23.2”Œpackaging >=20.1,<21.4”Œpandas >=1.0.0,<1.4.4”Œprogressbar2 >=3.39,<4.1”Œpython >=3.0”Œ!python-levenshtein >=0.12.0,<0.13”Œpython-slugify >=3.0.0,<6.2”Œpyyaml >=5.1,<6.1”Œscikit-learn >=1.0.0,<1.1.3”Œscipy >=1.2,<1.9.1”Œshapely >=1.7.1,<1.8.3”Œwerkzeug >=0.14,<2.2.3”t”h6Œjoblib <1.2.0”…”h9h?h@Œ
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r-jsonlite”Œr-knitr”Œ
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r-magrittr”Œr-plotly”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”Œ	r-stringr”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ+µøð“uhEJN° hFˆubh)”}”(hŒpycron”h#Œ3.0.0”h%Œpy_0”h'K hhh(h)hŒpycron-3.0.0-py_0.tar.bz2”h+Œ f828fa1219c9b188c0a4f5e6c2d6101f”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pycron-3.0.0-py_0.tar.bz2”h0Œ@fe6abeaffec3f61eefd3214fa25859cdd658fd7d328f5700e0dc06690a1c09d6”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGA×zPô,ýôhEMØhFˆubh)”}”(hŒzfit-physics”h#Œ0.0.3”h%Œpy_0”h'K hhh(h)hŒzfit-physics-0.0.3-py_0.tar.bz2”h+Œ 48e45dbcc95c851407ecb7851968b501”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/zfit-physics-0.0.3-py_0.tar.bz2”h0Œ@2c4bbedd6707127c81e31c90271936b3314410c2df1dcbdf85461a3914ef1635”h2NhNh3(Œcloudpickle >=0.6.1”Œ	decorator”Œnumpy”Œpython >=3.6,<3.8”Œzfit >=0.5.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¯l%cÆ¨hEMí1hFˆubh)”}”(hŒlibxkbcommon-devel-cos7-aarch64”h#Œ0.7.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ:libxkbcommon-devel-cos7-aarch64-0.7.1-h9b0a68f_105.tar.bz2”h+Œ 82496828278a349fbb9d5efed913fc54”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-devel-cos7-aarch64-0.7.1-h9b0a68f_105.tar.bz2”h0Œ@df309dce5782bc7c0d40cdc1a839becfba25711cf673d94ed82547edfcbad468”h2NhNh3Œ'libxkbcommon-cos7-aarch64 ==0.7.1 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Yç—®hEMÏÝhFˆubh)”}”(hŒorbit2-devel-cos7-ppc64le”h#Œ2.14.19”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6orbit2-devel-cos7-ppc64le-2.14.19-h9d98e8f_104.tar.bz2”h+Œ c55bcc8358f9ecaa2cfa5e26e0cc8548”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos7-ppc64le-2.14.19-h9d98e8f_104.tar.bz2”h0Œ@83c5a8db9ba012d98f91c42ffd77193c82ed97da803eee432633219b51dfc7ae”h2NhNh3Œ&glib2-devel-cos7-ppc64le >=2.2.0 *_104”Œ'libidl-devel-cos7-ppc64le >=0.8.2 *_104”Œ#orbit2-cos7-ppc64le ==2.14.19 *_104”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×É}¶Õ²-hEJ£• hFˆubh)”}”(hŒ
whichcraft”h#Œ0.6.1”h%Œpy_0”h'K hhh(h)hŒwhichcraft-0.6.1-py_0.tar.bz2”h+Œ 08069b1a0dd029c8d5a8a935a7c71917”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/whichcraft-0.6.1-py_0.tar.bz2”h0Œ@358fc4340c3dcd78f3fb7d1068cbc408f7ac1b3db67a11274ffc1cb2764dd001”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×\êƒy‡hEM^ hFˆubh)”}”(hŒr-easypubmed”h#Œ2.13”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-easypubmed-2.13-r41hc72bb7e_0.tar.bz2”h+Œ 940a452e803d60962c0294759f6f0eb8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-easypubmed-2.13-r41hc72bb7e_0.tar.bz2”h0Œ@622fa92ac784414e9bff0a66ac6ad2d472bf89f9c3f3cbe2621139084e0364a8”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ/Ty3Æ¨hEJýT hFˆubh)”}”(hŒ
preprocess”h#Œ1.2.3”h%Œpy_1”h'Khhh(h)hŒpreprocess-1.2.3-py_1.tar.bz2”h+Œ e086483617b08a4a86ad35ddc2d151f5”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/preprocess-1.2.3-py_1.tar.bz2”h0Œ@5c9692d7e6bb0a0d5513704a45f55b20e863b3e0181858181619985e2a5095c2”h2NhNh3Œfuture”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÒ™%JñªhEMÐ7hFˆubh)”}”(hŒjupyter_http_over_ws”h#Œ0.0.8”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ/jupyter_http_over_ws-0.0.8-pyh9f0ad1d_0.tar.bz2”h+Œ 0cad0aced2233cb37b79d30e75aebb82”h.Œ]https://conda.anaconda.org/conda-forge/noarch/jupyter_http_over_ws-0.0.8-pyh9f0ad1d_0.tar.bz2”h0Œ@9b6d45c98659d023906a8c821f1f07d3271135862958b60119e352494be52b03”h2NhNh3(Œnotebook >=5.0”Œpython”Œsix >=1.6.0”Œtornado >=4.5”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ÍW,²JhEMQhFˆubh)”}”(hŒmypyc-ipython”h#Œ0.0.2”h%Œpyh41d4057_1”h'Khhh(h)hŒ(mypyc-ipython-0.0.2-pyh41d4057_1.tar.bz2”h+Œ 90bbef6ddad03fd3e0493f6c37828a5a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/mypyc-ipython-0.0.2-pyh41d4057_1.tar.bz2”h0Œ@7a061307da134ced1f7dd54dbd24c36db87d5dea6de2487ac9faf5391620c017”h2NhNh3(Œ__linux”Œgcc_linux-64”Œipython”Œmypy >=0.800”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÚùWÈ  hEMÞ)hFˆubh)”}”(hŒr-ggrasp”h#Œ1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-ggrasp-1.2-r42hc72bb7e_1.tar.bz2”h+Œ 41910eaf800bae2d78e237b84815fa0a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggrasp-1.2-r42hc72bb7e_1.tar.bz2”h0Œ@82faf7f2cbc65b91d9d2dfb49bd99c87d95ce243ecc4cb5178898cf95b5d2dce”h2NhNh3(Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-bgmm”Œr-colorspace”Œ	r-ggplot2”Œ
r-mixtools”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓpg bNhEJd÷ hFˆubh)”}”(hŒsqlalchemy-dremio”h#Œ3.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,sqlalchemy-dremio-3.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 20c56bcfa94a8308e41b39f913550260”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sqlalchemy-dremio-3.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@5f950525d93bea523598650eebc89b5791da4a197742bbaf91ebbfde766e8693”h2NhNh3Œpyarrow >=5.0.0”Œpython >=3.7,<3.11”Œsqlalchemy >=1.3.24”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÜ@ý`BhEMOhFˆubh)”}”(hŒaesara-theano-fallback”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1aesara-theano-fallback-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 51de8babc0380778a61d9315537086d6”h.Œ_https://conda.anaconda.org/conda-forge/noarch/aesara-theano-fallback-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@61eceffd1a53138e7d3f00226de673d8bf03ba4adeebf1e07e45e798e752cd8b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØw<”+dZhEMl!hFˆubh)”}”(hŒ	heartrate”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$heartrate-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ dd9551fde3753134f6833b6693b95143”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/heartrate-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@cb66537b28079440bc32030c75ae59de931180fc60674e9ae55e03adccb84efe”h2NhNh3(Œ	asttokens”Œ	executing”Œflask”Œpygments”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØcýÿ`bNhEJ^ hFˆubh)”}”(hŒr-rmdformats”h#Œ1.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-rmdformats-1.0.4-r41hc72bb7e_0.tar.bz2”h+Œ d84420b843a2fc357a5975e6acba8deb”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rmdformats-1.0.4-r41hc72bb7e_0.tar.bz2”h0Œ@1b841174effc0c492eadb75a3014aa31c54a05f961d7f7005b5eb28cae1c3fd8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-bookdown”Œr-htmltools”Œr-knitr”Œr-rmarkdown”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ êÐbhEJCA hFˆubh)”}”(hŒtextstat”h#Œ0.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#textstat-0.7.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8acbf77da1ac227b6229d6e8073daee4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/textstat-0.7.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f3b2728da3b0fc813ba9fa1d93f1dcda33d8d73ccc727ae494b8fa347a6eb79c”h2NhNh3Œpyphen”Œpython >=3.6”Œ
setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØOØS"ÑhEJ­s hFˆubh)”}”(hŒr-matrixcalc”h#Œ1.0_6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-matrixcalc-1.0_6-r41hc72bb7e_0.tar.bz2”h+Œ e6d60c2959195a2bef5177f46dc8f3f6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-matrixcalc-1.0_6-r41hc72bb7e_0.tar.bz2”h0Œ@d1e0e23b8c2a55f347c28a4b6932b7320dfae7d472ca8164dc691b28961528b6”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÈ¨¾‚n˜hEJ¯o hFˆubh)”}”(hŒr-r2dii.data”h#Œ0.3.1”h%Œr36hdd51fde_0”h'K hhh(h)hŒ(r-r2dii.data-0.3.1-r36hdd51fde_0.tar.bz2”h+Œ 7c2c4260960d2a7165f8e8f81ed8bf04”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r2dii.data-0.3.1-r36hdd51fde_0.tar.bz2”h0Œ@b917e87c05b8dec4abe4f8179295181958b82ef142d0463b0ca6befbde6ae4af”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-lifecycle”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÏ˜NÄí‘hEJ9% hFˆubh)”}”(hŒ	r-hwriter”h#Œ1.3.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-hwriter-1.3.2.1-r41hc72bb7e_1.tar.bz2”h+Œ f06e1a0d0089ab22a13f7f592a2f087b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-hwriter-1.3.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@09a744fb11f13409741b89dd2b10455aa0e270c6cbdf7a87b89370e165af264d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAØÒiÛ33hEJé hFˆubh)”}”(hŒpytest-html”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pytest-html-3.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 04b7108b3201db8b483c8f78c70f8f1f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pytest-html-3.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@be86e648c3a7993d96acdd5de1ca6079dc91f20d63eb97dd1178a0b81646d2f0”h2NhNh3Œpytest >=5.0,!=6.0.0”Œpytest-metadata”Œpython >=3.6”‡”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAØÖøT“hEMAIhFˆubh)”}”(hŒr-clustergeneration”h#Œ1.3.7”h%Œr36ha770c72_0”h'K hhh(h)hŒ/r-clustergeneration-1.3.7-r36ha770c72_0.tar.bz2”h+Œ 4a3da157f3ec08754a7f824d52a9003b”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-clustergeneration-1.3.7-r36ha770c72_0.tar.bz2”h0Œ@a1e60954109f56ac572387eeeb5fbec1792b4946872d1ee9c9fd12bceb0b99f5”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×öN†vÉhEJ¸f hFˆubh)”}”(hŒmesa-libgbm-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5mesa-libgbm-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h+Œ a1d6b08b2a8e5f477a03f73f6321ae61”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@8e8c2d1ce34b986c7c16a41857f116801ce82fb004a2dee29a97fda38aee7fd2”h2NhNh3Œ#libdrm-cos7-ppc64le >=2.4.83 *_1102”Œ*mesa-libglapi-cos7-ppc64le ==18.3.4 *_1102”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+“a&éhEMShFˆubh)”}”(hŒlibjpeg-turbo-cos6-x86_64”h#Œ1.2.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libjpeg-turbo-cos6-x86_64-1.2.1-ha826a6f_1103.tar.bz2”h+Œ d3edd9a1e469067aace2210f559f62ce”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos6-x86_64-1.2.1-ha826a6f_1103.tar.bz2”h0Œ@3f555eda1abf594eea1470bc11835df95da2b4976a0733f70e5467083b3cb619”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@Œ	wxWidgets”hBŒOther”hDGA×Æ/Š°£×hEJ„ hFˆubh)”}”(hŒlibselinux-cos7-ppc64le”h#Œ2.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ0libselinux-cos7-ppc64le-2.5-hdf0574f_102.tar.bz2”h+Œ 1fd720327d4c2650d55104659d9725e6”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-ppc64le-2.5-hdf0574f_102.tar.bz2”h0Œ@e63c5763510351d9e89b013d701d73b586c642832f4d1d77cb64f4a2420c3aac”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Å+¡ËhEJq‘ hFˆubh)”}”(hŒaplus”h#Œ0.11.0”h%Œpy_1”h'Khhh(h)hŒaplus-0.11.0-py_1.tar.bz2”h+Œ 7785bb1ae3202fb550f23699c6f89121”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/aplus-0.11.0-py_1.tar.bz2”h0Œ@7f2734233106b9ccfcf0bcd916cfdd39b59dcedf1a8832e6b1ec0048b6bc1ba2”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÓVb×|îhEMVhFˆubh)”}”(hŒr-pbs”h#Œ1.1”h%Œr351h6115d3f_1”h'Khhh(h)hŒ r-pbs-1.1-r351h6115d3f_1.tar.bz2”h+Œ 400ed3b120bc3423f2dfa448eb020dcf”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-pbs-1.1-r351h6115d3f_1.tar.bz2”h0Œ@2e7b264c74c9bf3135e500a6d2fe0133075a38423380ccedc5b6c7f92e48515d”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×-OßhEMvhFˆubh)”}”(hŒsysroot-cos7-ppc64le”h#Œ2.17”h%Œ
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r-magrittr”Œr-rlang”Œr-tibble”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ‘"œ“hEJ”š^ hFˆubh)”}”(hŒeli5”h#Œ0.13.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ eli5-0.13.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2e1e27d053f16c950e874f6b4b8c3ed1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/eli5-0.13.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f2a064256cd54e1d54637f14b8169bf718db533b54779d19e4768c0fd5ead80b”h2NhNh3(Œattrs >17.1.0”Œjinja2 >=3.0.0”Œnumpy >=1.9.0”Œpython >=3.6”Œpython-graphviz”Œscikit-learn >=0.20”Œscipy”Œsingledispatch >=3.4.0.3”Œsix”Œtabulate >=0.7.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŸÑ?ä¬hEJ§2 hFˆubh)”}”(hŒjquery-mobile”h#Œ1.4.5”h%j3G h'K hhh(h)hŒjquery-mobile-1.4.5-0.tar.bz2”h+Œ 3d8a505cc7d4d6e01fef634cb363e8d7”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/jquery-mobile-1.4.5-0.tar.bz2”h0Œ@cb48ce999b983a4ff61955077df876bfff2ca8fe3531e3636b1f56ebd0b1a48e”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hEJå±d hFˆubh)”}”(hŒr-mvn”h#Œ5.9”h%Œr40hc72bb7e_0”h'K hhh(h)hŒr-mvn-5.9-r40hc72bb7e_0.tar.bz2”h+Œ 3aad180261970a5d230fe33919681961”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mvn-5.9-r40hc72bb7e_0.tar.bz2”h0Œ@01286da49ff1e32dc20db1aa8cd903ea14a616aafb56c33844c37cdb9affe342”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-car”Œr-energy”Œr-kableextra”Œ
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Apache-2.0”hBŒAPACHE”hDGAØ!®wcohEJ³º¢ hFˆubh)”}”(hŒr-rmagic”h#Œ2.0.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-rmagic-2.0.3-r36h6115d3f_0.tar.bz2”h+Œ c22bb39e833f5a426c40c8b786fe110f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmagic-2.0.3-r36h6115d3f_0.tar.bz2”h0Œ@91aa005eedc42a478d1e02de03b46149394231071941a8eb37250226e5ee7761”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-matrix >=1.2_0”Œr-reticulate >=1.4”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×u¯tãçmhEJWî( hFˆubh)”}”(hŒr-rfoc”h#Œ3.4_6”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-rfoc-3.4_6-r41hc72bb7e_2.tar.bz2”h+Œ e1b41120ff26647d554e66dbf4d5fc9d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rfoc-3.4_6-r41hc72bb7e_2.tar.bz2”h0Œ@22c64da8d636848924d809a0fc934556c8d16b1c5aafa9feaa10da0a02c14003”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-geomap”Œr-mass”Œr-rpmg”Œr-rseis”Œ	r-splancs”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+Ìñ&éhEJ8*
 hFˆubh)”}”(hŒads”h#Œ0.12.3”h%Œpy_2”h'Khhh(h)hŒads-0.12.3-py_2.tar.bz2”h+Œ c3f9e178e9665fad6cee5a1f1caca5ce”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/ads-0.12.3-py_2.tar.bz2”h0Œ@9e0c1b294168a344d0961ab1068b7504895098008876ae6dd7fe439b58ac6a43”h2NhNh3(Œmock”Œpython”Œrequests”Œsix”Œwerkzeug”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐÒIçmhEM«zhFˆubh)”}”(hŒr-uptasticsearch”h#Œ0.4.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ,r-uptasticsearch-0.4.0-r41hc72bb7e_2.tar.bz2”h+Œ 7e81ac44bb45c2334bb84ae7e8eb2ad9”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-uptasticsearch-0.4.0-r41hc72bb7e_2.tar.bz2”h0Œ@963fa340a1bcfff09ba1a9d5bc2d7c2218ff094865f2fefde262b5f1aca7df9f”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-futile.logger”Œr-httr”Œ
r-jsonlite”Œr-purrr”Œ	r-stringr”Œr-uuid”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ+¡ã÷ÏhEJ&³ hFˆubh)”}”(hŒlibxau-cos7-ppc64le”h#Œ1.0.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libxau-cos7-ppc64le-1.0.8-hdf0574f_1102.tar.bz2”h+Œ 60eb3c4ff9b6b9861a52e8bab31971ab”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-ppc64le-1.0.8-hdf0574f_1102.tar.bz2”h0Œ@ae229c8912b9b1626ed5a5372e5f3fec7eafe78098c2e616b98d9feae8cf36fc”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´±l‹hEMahFˆubh)”}”(hŒr-varimp”h#Œ0.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-varimp-0.4-r41hc72bb7e_1.tar.bz2”h+Œ 0fe7e7f261dbb09b939eaefc91e3ca75”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-varimp-0.4-r41hc72bb7e_1.tar.bz2”h0Œ@e510b4728d670b4954c0fdbcd54eaa0baab9381c61a17f4378d83072962361c9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-measures”Œr-party”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ©Eˆ ÅhEMìhFˆubh)”}”(hŒmarkdown”h#Œ3.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#markdown-3.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 50d5bcf9693d8c1e7db6b1150b5c4ee5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/markdown-3.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@fc31a78d62d667e31c48c25c0b9a236f40333d367a5eecd23ec4fdd194644806”h2NhNh3Œimportlib-metadata >=4.4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ´w¨›¥ãhEJ¼ hFˆubh)”}”(hŒ	r-capushe”h#Œ1.1.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-capushe-1.1.1-r36h6115d3f_1002.tar.bz2”h+Œ 32e7355ffdd054a7156014ba78df3236”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-capushe-1.1.1-r36h6115d3f_1002.tar.bz2”h0Œ@9cafeef8e72a7fda5068325387543b1daf8960c018fb3dd507823b80ab8d7e40”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL (>= 2.0)”hBŒGPL3”hDGA×LŽYehEJ–Ê hFˆubh)”}”(hŒjinja2-time”h#Œ0.2.0”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ&jinja2-time-0.2.0-pyhd8ed1ab_3.tar.bz2”h+Œ 68e2dba4d112965e297120ed916a898c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/jinja2-time-0.2.0-pyhd8ed1ab_3.tar.bz2”h0Œ@9e0fbfadbdafc1dcd287d08406364ac15d3f890c974d62817c2b6c00bb1b74d9”h2NhNh3Œarrow”Œjinja2”Œpython >=2.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ‰Û )‡hEM†$hFˆubh)”}”(hŒ	geopandas”h#Œ0.10.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%geopandas-0.10.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6097c661f844076a5885f1a96809a131”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/geopandas-0.10.2-pyhd8ed1ab_0.tar.bz2”h0Œ@cbe349b35f00d001fc5a0b0a319d6b79da9585411f91f189e9d27181c846da16”h2NhNh3(Œfiona”Œfolium”Œ"geopandas-base 0.10.2 pyha770c72_0”Œmapclassify >=2.4.0”Œmatplotlib-base”Œpython >=3.7”Œrtree”Œxyzservices”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØZ§%-ÒòhEMhFˆubh)”}”(hŒnumactl-devel-cos7-aarch64”h#Œ2.0.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7numactl-devel-cos7-aarch64-2.0.12-h9b0a68f_1105.tar.bz2”h+Œ 566ee191fcab5579327be0faf2999ea3”h.Œehttps://conda.anaconda.org/conda-forge/noarch/numactl-devel-cos7-aarch64-2.0.12-h9b0a68f_1105.tar.bz2”h0Œ@423d257b65e652482f7a1faca60e5489d8ab43ddf40c22403c48e40e69c71c5e”h2NhNh3Œ)numactl-libs-cos7-aarch64 ==2.0.12 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPLv2 and GPLv2”hBŒGPL2”hDGAØ@"¨£×hEMÌ…hFˆubh)”}”(hŒr-visnetwork”h#Œ2.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-visnetwork-2.1.2-r42hc72bb7e_1.tar.bz2”h+Œ 38839fbe167e1d2ac64243fdb494eb0b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-visnetwork-2.1.2-r42hc72bb7e_1.tar.bz2”h0Œ@1ca4e25a55bffe6b536c5fe7bad69cfc3e2677c62f7ef1803720bb0b8d00dfd3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐwôá™šhEJ¨úD hFˆubh)”}”(hŒlibxinerama-cos6-x86_64”h#Œ1.1.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libxinerama-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h+Œ d9f0acdcc7b73c89d2b84a3757cf9370”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h0Œ@5e858cf81a77625de2cdfb5ed3aa60366984862a1b84dd55bf24075b6be24a20”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ®hEMƒ"hFˆubh)”}”(hŒobjprint”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#objprint-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ bb9777e3453e170e7841d893ef05ddc3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/objprint-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c4bb0c71b8a4de3d8b9600822d94019d0920ddeb9a4027172fd81b409ad089e2”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ±WUVhEM¤ihFˆubh)”}”(hŒr-broom.mixed”h#Œ0.2.9.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-broom.mixed-0.2.9.4-r41hc72bb7e_1.tar.bz2”h+Œ af7276150dcc64dbb1f6f8b25544e0ce”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-broom.mixed-0.2.9.4-r41hc72bb7e_1.tar.bz2”h0Œ@37af013f5df0a08b86139c7c9e50d688c9fa7c4d22565137ccce08680f6c654c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-coda”Œr-dplyr”Œ	r-forcats”Œr-furrr”Œr-nlme”Œr-purrr”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑïÜ“hEJ“»@ hFˆubh)”}”(hŒr-ggconf”h#Œ0.1.3”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ'r-ggconf-0.1.3-r36h6115d3f_1001.tar.bz2”h+Œ ab601556f29d8cff87ef2a9acbcd51cb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggconf-0.1.3-r36h6115d3f_1001.tar.bz2”h0Œ@2ae1ddb3347ddb9d8dd74f30cfa05f07269086a32eaa1d764c598805312e2858”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=2.2.0”Œr-rly >=1.3.0”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M	T‘hhEJ¡d hFˆubh)”}”(hŒrb-jekyll-compose”h#Œ0.12.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ+rb-jekyll-compose-0.12.0-hc42de5b_0.tar.bz2”h+Œ ef477dbcdb311e8cbd507894c59235c5”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-compose-0.12.0-hc42de5b_0.tar.bz2”h0Œ@7ef9a756d0f1840b1d2b9e4b180768acb57a1c7c71abd19ad344fdbd0c5b6f06”h2NhNh3Œrb-jekyll >=3.7,<5”Œruby”†”h9hºh@ŒMIT”hBŒMIT”hDGA×¸E€ ÅhEMRChFˆubh)”}”(hŒr-rfpermute”h#Œ2.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-rfpermute-2.5.1-r40hc72bb7e_0.tar.bz2”h+Œ ddb8c8e6ed64158b1a186c0934c15284”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rfpermute-2.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@e47c82223d66bac4b7c771dd30ad8ecdbe7b2e917340021053ae34e9f0112eda”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-gridextra”Œ
r-magrittr”Œr-plyr”Œr-randomforest”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØ,ÓÜZ-hEJ' hFˆubh)”}”(hŒr-slippymath”h#Œ0.3.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-slippymath-0.3.1-r36h6115d3f_0.tar.bz2”h+Œ 9d83667625262927e4b533e5d16796a4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-slippymath-0.3.1-r36h6115d3f_0.tar.bz2”h0Œ@ab7b6111e7046597fe573fc356da54338c7e75b3a09191a15e25f495339820c7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-png”Œr-purrr”Œr-raster”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Œf9ŠñªhEJpÄ" hFˆubh)”}”(hŒeonr”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒeonr-0.2.1-py_0.tar.bz2”h+Œ 0445c58ac590bc293157b3b92ad64b8b”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/eonr-0.2.1-py_0.tar.bz2”h0Œ@814d891e881a4714ab2e6c5be5358669ba781e7582d3f17855cc0ff86d5ab96a”h2NhNh3(Œpython”Œscikits-bootstrap”Œseaborn”Œuncertainties”t”h9h?h@ŒMIT”hBŒMIT”hDGA×•‹'
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GPL (>= 2)”hBŒGPL3”hDGA×LªæAûçhEJV< hFˆubh)”}”(hŒ"xcb-util-keysyms-devel-cos6-x86_64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ>xcb-util-keysyms-devel-cos6-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ 79c7a53bb47ef3742ffc6f08ecee652a”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-devel-cos6-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@ce6a648fd4e8b489a66ac0abe3a3c1b6393164f0f97302a606d4820bcf72d704”h2NhNh3Œsysroot_linux-64 2.12.*”Œ+xcb-util-keysyms-cos6-x86_64 ==0.4.0 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØu$§rn˜hEM½hFˆubh)”}”(hŒnss-util-cos6-x86_64”h#Œ3.36.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1nss-util-cos6-x86_64-3.36.0-h9d98e8f_1104.tar.bz2”h+Œ 320f5c5bd9ed9040f34b7e62cf5088bb”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nss-util-cos6-x86_64-3.36.0-h9d98e8f_1104.tar.bz2”h0Œ@3f1f20d29cf69e9c15a1eb426a82ccc1cf055fdc6f95bd0d6065841e6a042e25”h2NhNh3Œ nspr-cos6-x86_64 >=4.19.0 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É|p‹DhEJ½E hFˆubh)”}”(hŒpango-devel-cos7-x86_64”h#Œ1.42.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4pango-devel-cos7-x86_64-1.42.4-h9d98e8f_1104.tar.bz2”h+Œ 5061572b001f310894fc3516a06ac6ae”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-x86_64-1.42.4-h9d98e8f_1104.tar.bz2”h0Œ@9d71c134790f0b3563733288dac75324d148d2b9744c8c183c3f921dbc34babb”h2NhNh3(Œ(cairo-devel-cos7-x86_64 >=1.12.10 *_1104”Œ-fontconfig-devel-cos7-x86_64 >=2.11.91 *_1104”Œ)freetype-devel-cos7-x86_64 >=2.1.5 *_1104”Œ'glib2-devel-cos7-x86_64 >=2.56.1 *_1104”Œ!pango-cos7-x86_64 ==1.42.4 *_1104”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É€9ë…hEJ’ hFˆubh)”}”(hŒdesdeo”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒdesdeo-0.2.1-py_0.tar.bz2”h+Œ 661c147a6b984f79620287023455c8ed”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/desdeo-0.2.1-py_0.tar.bz2”h0Œ@a2a17736dd783982f99c663e43559a1edea33ec6bee177e1682fcaba0856798e”h2NhNh3(Œnumpy”Œprompt_toolkit <2”Œpython >=3.6”Œscikit-learn”Œscipy”t”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAÖå­Å¶éyhEMÖyhFˆubh)”}”(hŒr-vipor”h#Œ0.4.5”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ&r-vipor-0.4.5-r36h6115d3f_1003.tar.bz2”h+Œ fa1835f01fe713cd687bbb5296252ba0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-vipor-0.4.5-r36h6115d3f_1003.tar.bz2”h0Œ@75b3f5aa106785b1543758610931560927aa74b65aaa74ce8a1fed1bed9e2c92”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
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r-magrittr”Œr-purrr”Œr-scales”Œr-shiny”Œ	r-stringi”t”h9hºh@Œ
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Apache-2.0”hBŒAPACHE”hDGA×x9ÿÔþhEMÖ1hFˆubh)”}”(hŒlibxdamage-cos7-aarch64”h#Œ1.1.4”h%Œh1795305_101”h'Kehhh(h)hŒ2libxdamage-cos7-aarch64-1.1.4-h1795305_101.tar.bz2”h+Œ 87cbe6f09fb9bf54479683e1578198a2”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-aarch64-1.1.4-h1795305_101.tar.bz2”h0Œ@776e5df92ea03e128d34442a1d0cbb91368417ba0b0dc8a03ae4f35de333cb72”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å%ê)ë…hEM²AhFˆubh)”}”(hŒ	r-rarpack”h#Œ0.11_0”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ)r-rarpack-0.11_0-r42hc72bb7e_1004.tar.bz2”h+Œ 9be452f37e5fbea4c86b72ad39fdf477”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rarpack-0.11_0-r42hc72bb7e_1004.tar.bz2”h0Œ@f7fcad214064f4a9eae3d12ba1a710169f9428be46dc425e8ebfc443e81d0053”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
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>=3.7,<4.0”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŒ —‰7hEMâ-hFˆubh)”}”(hŒ'java-1.7.0-openjdk-headless-cos7-x86_64”h#Œ	1.7.0.261”h%Œh9b0a68f_1105”h'MQhhh(h)hŒGjava-1.7.0-openjdk-headless-cos7-x86_64-1.7.0.261-h9b0a68f_1105.tar.bz2”h+Œ b32986b576c63c5988b6039bb36b8011”h.Œuhttps://conda.anaconda.org/conda-forge/noarch/java-1.7.0-openjdk-headless-cos7-x86_64-1.7.0.261-h9b0a68f_1105.tar.bz2”h0Œ@71fd7764a50e5b470c7884b325e863e6c63bbef38d0eaf1c26c8f8a958c24663”h2NhNh3(Œ"chkconfig-cos7-x86_64 >=1.7 *_1105”Œ)copy-jdk-configs-cos7-x86_64 >=3.3 *_1105”Œ-javapackages-tools-cos7-x86_64 >=3.4.1 *_1105”Œnss-cos7-x86_64 >=3.44.0 *_1105”Œ'nss-softokn-cos7-x86_64 >=3.44.0 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@Œ¸ASL 1.1 and ASL 2.0 and BSD and BSD with advertising and GPL+ and GPLv2 and GPLv2 with exceptions and IJG and LGPLv2+ and MIT and MPLv1.1 and MPLv2.0 and Public Domain and W3C and zlib”hBŒGPL2”hDGAØ@r·´‹DhEJ ÎhFˆubh)”}”(hŒr-clustergeneration”h#Œ1.3.7”h%Œr41ha770c72_1”h'Khhh(h)hŒ/r-clustergeneration-1.3.7-r41ha770c72_1.tar.bz2”h+Œ 8c1055cf243b1e62949d58f3e4bdb17a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-clustergeneration-1.3.7-r41ha770c72_1.tar.bz2”h0Œ@13102ccdeb89c3ba7cace2f754fef6b3c523a32db4482ba127942c4a3429ea64”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐÔÍË¶FhEJâg hFˆubh)”}”(hŒsphinx”h#Œ4.5.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ!sphinx-4.5.0-pyh6c4a22f_0.tar.bz2”h+Œ 46b38d88c4270ff9ba78a89c83c66345”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/sphinx-4.5.0-pyh6c4a22f_0.tar.bz2”h0Œ@2fe70d936cc969e20f07a7df64438587261f187d4f08e1c0f412cdd1d632730c”h2NhNh3(Œalabaster >=0.7,<0.8”Œbabel >=1.3”Œcolorama >=0.3.5”Œdocutils >=0.14,<0.18”Œ	imagesize”Œimportlib-metadata >=4.4”Œjinja2 >=2.3”Œ	packaging”Œpygments >=2.0”Œpython >=3.6”Œrequests >=2.5.0”Œsnowballstemmer 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r-testthat”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+“JKÇhEJïÈ hFˆubh)”}”(hŒdrf-generators”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)drf-generators-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1297a361211eb38ac5847819a72a0a99”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/drf-generators-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ad83a47cf1c176938b5cd2420224ef7124ceb35724f79020242fabd3c5ae1c81”h2NhNh3Œdjango >=1.11”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÛR#¡ÊÁhEMö0hFˆubh)”}”(hŒr-phylotools”h#Œ0.2.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-phylotools-0.2.2-r36h6115d3f_0.tar.bz2”h+Œ 67206cd1809aff003392e938396a2493”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-phylotools-0.2.2-r36h6115d3f_0.tar.bz2”h0Œ@320be6f18f22eedc0ccf20312a0f57a76f27cb71587e6dcff1293054db3a348b”h2NhNh3Œr-ape”Œr-base >=3.6,<3.7.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Õ'.ÚMÓhEJ hFˆubh)”}”(hŒ
r-textstem”h#Œ0.1.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-textstem-0.1.4-r42hc72bb7e_2.tar.bz2”h+Œ f18b71790f01acd616a3f8bf16cd29f0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-textstem-0.1.4-r42hc72bb7e_2.tar.bz2”h0Œ@b2d3068fa5f14bed6e76e8a5cc36ddb287c1517babbf5c92cb940e2399b58b57”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-hunspell”Œr-korpus”Œr-korpus.lang.en”Œr-lexicon >=0.4.1”Œr-quanteda >=0.99.12”Œr-snowballc”Œ	r-stringi”Œr-textclean”Œr-textshape”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ÷‹ÄœhEJ´3 hFˆubh)”}”(hŒlinkify-it-py”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(linkify-it-py-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 25b93e66067eb496ac10da888e25cc33”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/linkify-it-py-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0980092a2e0a4bd263c18fb0db701589fc10fc8542ce511f844a533490d5f14e”h2NhNh3Œpython >=3.6”Œuc-micro-py >=1.0.1,<2.0.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ–½axÕhEM‘WhFˆubh)”}”(hŒfortran-language-server”h#Œ1.12.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3fortran-language-server-1.12.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6d2677b354c9596e77d4583ddc15aa00”h.Œahttps://conda.anaconda.org/conda-forge/noarch/fortran-language-server-1.12.0-pyhd8ed1ab_0.tar.bz2”h0Œ@81b9b5d3508563f10dae99d2819042e5737fea1a8bfa6f281c1d1b81100b48ad”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØfÖP—KÇhEMŽóhFˆubh)”}”(hŒr-forge”h#Œ0.2.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ#r-forge-0.2.0-r40h6115d3f_2.tar.bz2”h+Œ 2d3aa045ea23a9cdbb2eea154d3a00d7”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-forge-0.2.0-r40h6115d3f_2.tar.bz2”h0Œ@93ee17743ecd2de81a324e20218da07727ca591b6f84cf59ad9f09baeb3fc614”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-magrittr”Œr-rlang >=0.3.1”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×«ßëÁûçhEMºÊhFˆubh)”}”(hŒ
colcon-zsh”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%colcon-zsh-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4f92b14d0db18a1fe26dfc0406b191a8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/colcon-zsh-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9168545fbe10abbff0cfda2f15156891422f8f1bb352a37419700186820cad5f”h2NhNh3Œcolcon-core >=0.4.0”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ’ûŠ"=qhEMS5hFˆubh)”}”(hŒ	r-corpcor”h#Œ1.6.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-corpcor-1.6.10-r41hc72bb7e_0.tar.bz2”h+Œ 90327fbe090828755028c923a0dbfbe8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-corpcor-1.6.10-r41hc72bb7e_0.tar.bz2”h0Œ@82650cbd8146c45936720428b968735edf8cc33212b8e765c4fad39c3ed9b45f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØPàM*n˜hEJ4 hFˆubh)”}”(hŒlibxt-devel-cos7-aarch64”h#Œ1.1.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4libxt-devel-cos7-aarch64-1.1.5-hdf0574f_1102.tar.bz2”h+Œ 2947cbd4d72b94f0fb024de395644465”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-aarch64-1.1.5-hdf0574f_1102.tar.bz2”h0Œ@f3c1d9f742e30bb84d19679dc9f59378c454a727b0caa77b469732cbccf09969”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ¡‰7hEJH hFˆubh)”}”(hŒ
alphashape”h#Œ1.3.1”h%Œpyh44b312d_0”h'K hhh(h)hŒ%alphashape-1.3.1-pyh44b312d_0.tar.bz2”h+Œ a27b68aa4dffbc4cceed9f71058f6356”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/alphashape-1.3.1-pyh44b312d_0.tar.bz2”h0Œ@3f7359afe1c52bc309c91d98f07be3a1aa1115e38aa733f221058997d176297e”h2NhNh3(Œclick >=6.0”Œclick-log >=0.3.2”Œgeopandas >=0.6.2”Œnetworkx >=2.5”Œnumpy >=1.6”Œpython >=3.8”Œrtree >=0.9.7”Œscipy >=1.0.0”Œshapely >=1.4.0”Œtrimesh >=3.9.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŠ ûÆ¨hEMÉ<hFˆubh)”}”(hŒr-gpca”h#Œ1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ r-gpca-1.0-r41hc72bb7e_1.tar.bz2”h+Œ 39ba8879bbc2b802c962049eb0120334”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-gpca-1.0-r41hc72bb7e_1.tar.bz2”h0Œ@2e8cb3e4323b766b309486f5c698d9c78ae955ad1b1754da85d634947f992c7a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+'¦1º^hEJÍ•@ hFˆubh)”}”(hŒr-assertive.types”h#Œ0.0_3”h%Œr41hc72bb7e_1005”h'Míhhh(h)hŒ0r-assertive.types-0.0_3-r41hc72bb7e_1005.tar.bz2”h+Œ 6a9d6a75ca843c26c7c2e55474e95687”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.types-0.0_3-r41hc72bb7e_1005.tar.bz2”h0Œ@a2922e611a43dec6fffd02272e499c052b2549f4b393f4160e4956771bf7d4b3”h2NhNh3(Œr-assertive.base >=0.0_7”Œr-assertive.properties”Œr-base >=4.1,<4.2.0a0”Œr-codetools”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐ¤ðr°hEJ'ó hFˆubh)”}”(hŒr-drought4r”h#Œ0.2.0”h%Œr42ha770c72_1”h'Khhh(h)hŒ'r-drought4r-0.2.0-r42ha770c72_1.tar.bz2”h+Œ fe83b5e1b6a27b53dae74922d8b05898”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-drought4r-0.2.0-r42ha770c72_1.tar.bz2”h0Œ@a30346898da0f3929acf09ca828d0fc96fed4b8a2693fd705d09d7aad8e0d637”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œ
r-magrittr”Œr-spei”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ®øTýôhEJ< hFˆubh)”}”(hŒr-rcgmin”h#Œ	2022_4.30”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-rcgmin-2022_4.30-r41hc72bb7e_0.tar.bz2”h+Œ 9bba2cb52cbcad8ef4ecd768b1ebca34”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rcgmin-2022_4.30-r41hc72bb7e_0.tar.bz2”h0Œ@331dccdbc2d1f8d0c2f3b208346fa6e8b35d69003b373fa19d11f8919228d72f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-optextras”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØŸ)Ä•VhEJB hFˆubh)”}”(hŒnuitka”h#Œ1.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!nuitka-1.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 5dd964ed584efe8e6654073da8b9add3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/nuitka-1.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@c4575f30a5693cf435a3ea74d7277dc517503565889e44202b1fbdeaeebd14ca”h2NhNh3Œlibpython-static”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÂmñ,9XhEJ{ÿ hFˆubh)”}”(hŒapav”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒapav-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ ecdba36ac33d9dc80b7a1cf8ca66430e”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/apav-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7e77f532ee2c2068c16ef6cb6b6f5d358d386a2199962bedc87cae03577f05dd”h2NhNh3(Œfast-histogram”Œlmfit >=1.0”Œnumba”Œnumpy >=1.17”Œperiodictable”Œpyqt >=5.11”Œpyqtgraph >=0.11.0”Œ
pytest >=5”Œpytest-qt >=3”Œpython >=3.8”Œtabulate”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØI¥`  ÅhEJ)hFˆubh)”}”(hŒclifford”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#clifford-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2617b944ff3e7bf0d516180c5ed62cd2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/clifford-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@171aeeb2fae7be5607672433cc5af4609edcfaf88e1fd62c9bc184fee1b42693”h2NhNh3(Œh5py”Œnumba >0.46”Œnumpy”Œpython >=3.5”Œscipy”Œsparse”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ=ÈÜŸÎÙhEJéè hFˆubh)”}”(hŒr-msqc”h#Œ1.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-msqc-1.1.0-r42hc72bb7e_1.tar.bz2”h+Œ abe1341679a996160454006a6a82c6b0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-msqc-1.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@5fe28980c778ae6c3649be547c43568515dec4323bf65bd94e9e324a6ae3f818”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rgl”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒMü›¦hEJUq hFˆubh)”}”(hŒ
r-leafsync”h#Œ0.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-leafsync-0.1.0-r36h6115d3f_1.tar.bz2”h+Œ 15c8a54161172809c4251b31372b7a0f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-leafsync-0.1.0-r36h6115d3f_1.tar.bz2”h0Œ@15c4d39079becf6e82db8deaf07381fe9b75c59632cd1ee07ddf79e9721b0cc7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools >=0.3”Œr-htmlwidgets”Œr-leaflet >=2.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬ŽAøƒhEJž hFˆubh)”}”(hŒgconf2-cos6-x86_64”h#Œ2.28.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/gconf2-cos6-x86_64-2.28.0-h9b0a68f_1105.tar.bz2”h+Œ 8f3e0ae0f7056f0819ce301110e7f11a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gconf2-cos6-x86_64-2.28.0-h9b0a68f_1105.tar.bz2”h0Œ@42f3ca5e5bbb2e71e96da85b1d36a8e1df0df3a6148fb35a892d6ca1613be203”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@UÅó¶hEJUo hFˆubh)”}”(hŒr-mlmrev”h#Œ1.0_8”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-mlmrev-1.0_8-r40hc72bb7e_1.tar.bz2”h+Œ f310e6866866777e45b52477d4bc1d5c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mlmrev-1.0_8-r40hc72bb7e_1.tar.bz2”h0Œ@1ce382d4ca5b6f1b19bc96b4a165c401ce589568a3f086e4f2acafed714c68ab”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lme4”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+<Ô1&éhEJ‘â hFˆube(h)”}”(hŒdataframe_image”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒ"dataframe_image-0.1.1-py_0.tar.bz2”h+Œ 3a00d3085ffbb75d6eeaf01ddc83ad65”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/dataframe_image-0.1.1-py_0.tar.bz2”h0Œ@0b98aad9cb927d9c8449ee611ac3d8cd9d7a7e9af49c651b1e1cbe553d21a6c7”h2NhNh3(Œaiohttp”Œbeautifulsoup4”Œmatplotlib-base >=3.1”Œnbconvert >=5”Œpandas >=0.24”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGA×È“ð“uhEMßphFˆubh)”}”(hŒfypp”h#Œ3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒfypp-3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 183f4f777c8fdd92b78a7bb9e099b730”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/fypp-3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@87bf809b0218b415987c8888ff37f17c78e4d64d4b6fa6c287476be3b009dd08”h2NhNh3Œpip”Œpython >=3.5”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ% Šl¼jhEM§phFˆubh)”}”(hŒr-pals”h#Œ1.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ r-pals-1.7-r40hc72bb7e_0.tar.bz2”h+Œ e52cd44571828c6e47bc6d9f78fd5a21”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-pals-1.7-r40hc72bb7e_0.tar.bz2”h0Œ@4ab3eb417bfb336ae562b12ed0de22d12f0a944bea6d1ce4ef72cbdcd1422178”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-colorspace”Œr-dichromat”Œ	r-mapproj”Œr-maps”Œr-rgl”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØŸ¯C×
hEJWë hFˆubh)”}”(hŒ	r-weightr”h#Œ2.0.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-weightr-2.0.2-r40hc72bb7e_0.tar.bz2”h+Œ 984e995912d1ebc199b4dd7fa8d2fc28”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-weightr-2.0.2-r40hc72bb7e_0.tar.bz2”h0Œ@7349e40e7167aa898481aa3321da62e4fa1f30ed1e25929962497f303fbf2774”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-scales”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ:t¹³…hEJ7 hFˆubh)”}”(hŒesgf-pyclient”h#Œ0.3.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ(esgf-pyclient-0.3.1-pyh6c4a22f_0.tar.bz2”h+Œ 5afdafaf1aa086b4f0b0aa398fc1ad90”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/esgf-pyclient-0.3.1-pyh6c4a22f_0.tar.bz2”h0Œ@bfe56342d068c2148ce73ebf8155efaef0df8647cae478040071b415d1123d57”h2NhNh3(Œ
defusedxml”Œjinja2”Œmyproxyclient”Œpython >=3.6”Œrequests”Œrequests_cache”Œwebob”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ†K™PhEM(XhFˆubh)”}”(hŒlibnl-devel-cos7-aarch64”h#Œ1.1.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libnl-devel-cos7-aarch64-1.1.4-h9b0a68f_105.tar.bz2”h+Œ 9e09de7c48450fa92fbfa0226dabb402”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-aarch64-1.1.4-h9b0a68f_105.tar.bz2”h0Œ@7643407f1678dfe2fc19d1e13801018c1697aaae956d92658eed8234075cc3aa”h2NhNh3Œ libnl-cos7-aarch64 ==1.1.4 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@X,ßïžhEJÊÿ	 hFˆubh)”}”(hŒr-r2dii.analysis”h#Œ0.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-r2dii.analysis-0.2.1-r40hc72bb7e_0.tar.bz2”h+Œ fc665b3a030a44a4312aac40884d53a6”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-r2dii.analysis-0.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@1d9bfca7d58028fdd4073286bf603905be1a932241ed5203e4e040e5ecd9ab7b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.8.5”Œr-glue”Œ
r-magrittr”Œr-r2dii.data”Œr-rlang >=0.1.2”Œr-tidyr”Œr-tidyselect”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÙ@ÙÊÁhEJ7\ hFˆubh)”}”(hŒdjango-select2”h#Œ7.4.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)django-select2-7.4.2-pyh9f0ad1d_0.tar.bz2”h+Œ ffa0b97e279cf49fb3b5fb4bbfd5a156”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/django-select2-7.4.2-pyh9f0ad1d_0.tar.bz2”h0Œ@674700c7bf682664346314e1fa05e0e79f3bb63cecce29adc4f21e29c3ad55f4”h2NhNh3Œdjango >=2.2”Œdjango-appconf >=0.6.0”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×Ö¦C)G®hEM†=hFˆubh)”}”(hŒr-trycatchlog”h#Œ1.3.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-trycatchlog-1.3.1-r41hc72bb7e_1.tar.bz2”h+Œ 82404350ca70b41752c0f3d79412f720”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-trycatchlog-1.3.1-r41hc72bb7e_1.tar.bz2”h0Œ@abb5632d5e8b75f2bf9a134e5b01cee087d5dcd77ff2828aad6840ce86d818a7”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑö[ç\)hEJ³ hFˆubh)”}”(hŒlimix”h#Œ3.0.4”h%Œpy_0”h'K hhh(h)hŒlimix-3.0.4-py_0.tar.bz2”h+Œ f87ca4e7cb334ce02b37b3faa9c26de9”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/limix-3.0.4-py_0.tar.bz2”h0Œ@70eae50c3e430df3dbd757c11f92e5a852363b8554411c66aa89f2354d3a0235”h2NhNh3(Œappdirs >=1.4.3”Œasciitree >=0.3.3”Œbgen-reader >=3.0.6”Œblessings >=1.7”Œbrent-search >=2.0.0”Œclick >=7.0”Œcolorama >=0.4.1”Œdask >=2.5.0”Œglimix-core >=3.1.8”Œh5py >=2.9.0”Œhumanfriendly >=4.18”Œjoblib >=0.13.2”Œlimix-plot >=0.1.0”Œmatplotlib >=3.0.3”Œmonotonic >=1.5”Œndarray-listener >=2.0.0”Œnetcdf4 >=1.5.0.1”Œnumba >=0.43.1”Œnumpy >=1.17.2”Œnumpy-sugar >=1.5.0”Œoptimix >=3.0.3”Œpandas >=0.24.2”Œpandas-plink >=2.0.1”Œpytest >=4.4.1”Œpytest-doctestplus >=0.4.0”Œ	python >3”Œscikit-learn >=0.21.3”Œscipy >=1.2.1”Œseaborn >=0.9.0”Œsetuptools >=41.0.0”Œstatsmodels >=0.9.0”Œtqdm >=4.31.1”Œxarray >=0.13.0”t”h9h?h@Œ
Apache 2.0”hBŒApache”hDGA×duÛ×
hEJßL hFˆubh)”}”(hŒr-lsa”h#Œ0.73.3”h%Œr42ha770c72_1”h'Khhh(h)hŒ"r-lsa-0.73.3-r42ha770c72_1.tar.bz2”h+Œ 2638376533bf1858194db08bb647331d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lsa-0.73.3-r42ha770c72_1.tar.bz2”h0Œ@9a11e1297430023469daf1ef2afb4ead62c2916819e0a03f8a88fc1117fe23e9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-snowballc”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒSª„9XhEJšm hFˆubh)”}”(hŒr-collapsibletree”h#Œ0.1.7”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ0r-collapsibletree-0.1.7-r40h6115d3f_1002.tar.bz2”h+Œ 11816cb92e2b72cee9bf9cf734b8cd30”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-collapsibletree-0.1.7-r40h6115d3f_1002.tar.bz2”h0Œ@38afbe0892fbb943b61f6e4bf1c737894c29a68970f37a22e438198673ef42d1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.tree”Œr-htmlwidgets”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬ïãýôhEJÝZ hFˆubh)”}”(hŒnbval”h#Œ0.9.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ nbval-0.9.6-pyh9f0ad1d_0.tar.bz2”h+Œ b627e05284e7affc46b6e4878aa1d96b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/nbval-0.9.6-pyh9f0ad1d_0.tar.bz2”h0Œ@c52e60b8aa98d8af944f3c7af7f5db356f8f6b4e73d25a7d2adaf249e3ff6d45”h2NhNh3(Œcoverage”Œ	ipykernel”Œjupyter_client”Œnbformat”Œpytest”Œpython”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×É^u?}hEMjZhFˆubh)”}”(hŒr-shinyjqui”h#Œ0.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-shinyjqui-0.4.1-r42hc72bb7e_1.tar.bz2”h+Œ c53e109b6240ec186247fbcc76f9d4a6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinyjqui-0.4.1-r42hc72bb7e_1.tar.bz2”h0Œ@6685f4482276d709babfd65a78caedef78a216adfb639a714834a87c622c2c68”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-shiny >=0.14.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑF´C÷ÏhEJ®Ô	 hFˆubh)”}”(hŒ	workflows”h#Œ2.26”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#workflows-2.26-pyhd8ed1ab_0.tar.bz2”h+Œ 3150645e5fbf2f90342f0edb038ab7d7”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/workflows-2.26-pyhd8ed1ab_0.tar.bz2”h0Œ@94eb22919e79fbf418e6660f2045ef839b2d0a9474965dc8549f679542f8ef6e”h2NhNh3(Œbidict”Œpika”Œpython >=3.7”Œ
setuptools”Œstomp.py >=7.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÙ?)á7LhEM^ÀhFˆubh)”}”(hŒr-powersurvepi”h#Œ0.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-powersurvepi-0.1.3-r41hc72bb7e_1.tar.bz2”h+Œ 9027c27d081b6c27e13e52e5c4d60c64”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-powersurvepi-0.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@c49762843d47847e696b96d4c7f9e8e3c671dd459e89a6878bd72b0adc1c2320”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-pracma”Œr-rmarkdown”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ6“hEJY4 hFˆubh)”}”(hŒr-ggresidpanel”h#Œ0.3.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ*r-ggresidpanel-0.3.0-r41hc72bb7e_2.tar.bz2”h+Œ a1d70e58b12d42e3d32eb74ff3679e66”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ggresidpanel-0.3.0-r41hc72bb7e_2.tar.bz2”h0Œ@25ad32f5c2db6a2e6de53b66615e92def9a1a94fd2028c6d358691c7da53b7dd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œ	r-ggplot2”Œr-mass”Œr-plotly”Œ	r-qqplotr”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+»s›¶FhEJÅ¦ hFˆubh)”}”(hŒ
r-moonbook”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-moonbook-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ 1e475e52b7d70dd3927da079d9386c11”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-moonbook-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@47274f87e61cf408e3bde602f316507a95bdfb0f37c8aeadc5718b8df4e75342”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-magrittr”Œ	r-nortest”Œr-sjmisc”Œ	r-stringr”Œ
r-survival”Œr-ztable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØu\Imp¤hEJ—Ø hFˆubh)”}”(hŒbmipy”h#Œ2.0”h%Œpy_0”h'K hhh(h)hŒbmipy-2.0-py_0.tar.bz2”h+Œ 09c29e1098ac9d79df603f3de51aa8ae”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/bmipy-2.0-py_0.tar.bz2”h0Œ@f8bb604a5892ba2c2446558f7ec8c7546fc614c82658cba3390ace663701e0be”h2NhNh3(Œblack”Œclick”Œjinja2”Œnumpy”Œ
python >=3”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×}ŠÐåhEMF+hFˆubh)”}”(hŒrixs”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒrixs-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2ff939f2c626d2951386faface5f54c6”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/rixs-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@27432d8d591ffa6724eb9c7f121e5dbeca7a5c7fa5f932d32afe4c1f09090129”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.6”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ>Ç.uOßhEMµ3hFˆubh)”}”(hŒdjango-followit”h#Œ0.4.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ*django-followit-0.4.1-pyhd8ed1ab_1.tar.bz2”h+Œ 993edfce75f8c08bfc08f398625f9cdc”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/django-followit-0.4.1-pyhd8ed1ab_1.tar.bz2”h0Œ@f0f46c2b43ccaddd15f7e70cbd07fff1fd123ab1b771a2b6f88ff2ae618a6342”h2NhNh3Œdjango >=1.11,<3.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ}WåÂhEMû6hFˆubh)”}”(hŒlibdrm-devel-cos7-aarch64”h#Œ2.4.97”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libdrm-devel-cos7-aarch64-2.4.97-h9d98e8f_104.tar.bz2”h+Œ d4ef37c6851851d33dde68e5a8251c68”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-aarch64-2.4.97-h9d98e8f_104.tar.bz2”h0Œ@e21fea5ae5319ef1e905eeb327434a86f3fd86828fc2a2a908b34628883855b4”h2NhNh3Œ*kernel-headers-cos7-aarch64 >=2.6.27 *_104”Œ"libdrm-cos7-aarch64 ==2.4.97 *_104”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{ÑQÊÁhEJU hFˆubh)”}”(hŒ	r-tidylog”h#Œ1.0.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-tidylog-1.0.2-r36h6115d3f_0.tar.bz2”h+Œ 264486471bb1df962ae17b0a56a19b85”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidylog-1.0.2-r36h6115d3f_0.tar.bz2”h0Œ@9d57c51f38ecf987480c82cbf29e16a4098f17a53b246fa0249b77ce1823d1c5”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-clisymbols”Œr-dplyr”Œr-glue”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¿ÎÞ©‰7hEJSÜ hFˆubh)”}”(hŒwindpowerlib”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'windpowerlib-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 85de6362e8b26dc2207ec36aed7add2a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/windpowerlib-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2f982750e74bae845f4ebf2eac7733b972560046918ae582a1b25a16965c8b47”h2NhNh3(Œnumpy”Œpandas >=0.20.0”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØkŠ|îhEMîÄhFˆubh)”}”(hŒr-splitstackshape”h#Œ1.4.8”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ-r-splitstackshape-1.4.8-r41hc72bb7e_2.tar.bz2”h+Œ b359fe258e45749b76e460e9c45aa6b8”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-splitstackshape-1.4.8-r41hc72bb7e_2.tar.bz2”h0Œ@855fec3d2fa0da22df634f358ad93f07af19f28553f6b7ad4035988c71713c78”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.9.4”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+PbNhEJ­+ hFˆubh)”}”(hŒibm_db_django”h#Œ1.5.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*ibm_db_django-1.5.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ b262bfc87e2d5043cf6311589e7706cc”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/ibm_db_django-1.5.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6a56e876a9b373f2d5db2a02480deba251b8e951282d4da42df377d76d29e5da”h2NhNh3Œdjango”Œpython >=3.6”Œ
setuptools”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ>5ùÛhEMkÄhFˆubh)”}”(hŒkedro-mlflow”h#Œ0.11.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(kedro-mlflow-0.11.4-pyhd8ed1ab_0.tar.bz2”h+Œ 97b25a064975807ba8a508249c7345e8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/kedro-mlflow-0.11.4-pyhd8ed1ab_0.tar.bz2”h0Œ@2305e08051dbbe083af8e54115092f73f1b251ed9061923a465a82547d479b34”h2NhNh3(Œkedro >=0.18.1,<0.19.0”Œmlflow >=1.0.0,<2.0.0”Œpydantic >=1.0.0,<2.0.0”Œpython >=3.7,<3.11”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÏœ¼jhEMk›hFˆubh)”}”(hŒpyiron_continuum”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+pyiron_continuum-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ a404a79edd2c179786e0ec8664450492”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pyiron_continuum-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@863b18d03d46120a9c83d6a0d4d7cddefe511a02abfc7c54c095d68d2d31a33f”h2NhNh3(Œmatplotlib-base >=3.4.2”Œnumpy >=1.21.0”Œpyiron_base >=0.2.19”Œpython >=3.5”Œscipy >=1.7.1”Œsympy >=1.9”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‰íDÒMÓhEM›hFˆubh)”}”(hŒ
r-combinat”h#Œ0.0_8”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ)r-combinat-0.0_8-r40h6115d3f_1003.tar.bz2”h+Œ 7aa5abdfcff3010accb92c8b64722181”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinat-0.0_8-r40h6115d3f_1003.tar.bz2”h0Œ@693196495e6d226347f2b726710ac246c07442bea728b8699ffb752e6e376a8c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«ÐÏa%hEM­ÑhFˆubh)”}”(hŒ	r-geojson”h#Œ0.3.4”h%Œr40h6115d3f_0”h'K hhh(h)hŒ%r-geojson-0.3.4-r40h6115d3f_0.tar.bz2”h+Œ 9fac6f88ceb4430d6201f156cdc7070d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-geojson-0.3.4-r40h6115d3f_0.tar.bz2”h0Œ@a313392aacfc5d57b8ef849d6daf7c29a3107853fb339478b2655422157642ad”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-jqr >=1.1.0”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-protolite >=1.8”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¼™4^{hEJ™¾ hFˆubh)”}”(hŒ	r-capushe”h#Œ1.1.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ(r-capushe-1.1.1-r42hc72bb7e_1004.tar.bz2”h+Œ 299492510827fae1cdfc2b9dabe7ea67”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-capushe-1.1.1-r42hc72bb7e_1004.tar.bz2”h0Œ@9f9f1bd650376b4babfbbc29bdb49b5efeecc2e63ba132f1143b67966898a4e5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¾]ahshEJ‹« hFˆubh)”}”(hŒr-mopa”h#Œ1.0.2”h%Œr40ha770c72_1”h'Khhh(h)hŒ"r-mopa-1.0.2-r40ha770c72_1.tar.bz2”h+Œ a480b1b48d473f0ead8cc613465917cf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mopa-1.0.2-r40ha770c72_1.tar.bz2”h0Œ@37f9494b5434186e966cb09fbfc806507c4e2a0e7924d4a331e05e67f26c59e1”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-dismo”Œr-e1071”Œr-earth”Œr-gtools”Œ	r-lattice”Œr-presenceabsence”Œr-randomforest”Œr-ranger”Œr-raster”Œr-rpart”Œ
r-sampling”Œr-sp”Œr-spam”Œr-spatstat <2”Œ	r-splancs”Œr-transformer”Œr-tree”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ°Ðå`hEJçÄv hFˆubh)”}”(hŒdbxfs”h#Œ1.0.43”h%Œpy_0”h'K hhh(h)hŒdbxfs-1.0.43-py_0.tar.bz2”h+Œ a62c2a1216f72785d53ce47a23e0cfba”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/dbxfs-1.0.43-py_0.tar.bz2”h0Œ@09f62fa6276d79d48d5c9262453bd3f91865152e74a5ea50a32c43b113695380”h2NhNh3(Œappdirs >=1.4,<2”Œblock_tracing >=1.0.1,<2”Œdropbox >=3.38”Œkeyring >=15.1.0,<16”Œkeyrings.alt >=3.1,<4”Œprivy >=6.0,<7”Œpython >=3.5”Œsentry-sdk >=0.3,<1”Œuserspacefs >=1.0.13,<2”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×.¶ZMÓhEM ¾hFˆubh)”}”(hŒperl-type-tiny”h#Œ1.016007”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ0perl-type-tiny-1.016007-pl5321hd8ed1ab_0.tar.bz2”h+Œ 3f668c9a983f5fe73a5590eb4bc16e11”h.Œ^https://conda.anaconda.org/conda-forge/noarch/perl-type-tiny-1.016007-pl5321hd8ed1ab_0.tar.bz2”h0Œ@d756b63d55b9ccfd058d6bf17343da8b0c86054b966d61761f62154d354dea30”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-exporter-tiny >=1.000000”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØ½¸!®éyhEJv hFˆubh)”}”(hŒmnist”h#Œ0.2.2”h%Œpy_0”h'K hhh(h)hŒmnist-0.2.2-py_0.tar.bz2”h+Œ aa31209b29cd5c2adcb54d6513e67d0a”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/mnist-0.2.2-py_0.tar.bz2”h0Œ@4a3994c140ee2ab549d610b582b1dc8b1a94738c0d585b82a35611aa24fdac21”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖêÔëÎÙhEMðhFˆubh)”}”(hŒvecstack”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#vecstack-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 72761cd7db26532e64a76658678bbe2e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/vecstack-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@64a843553534fd7f06e3fd64ac96cb919e21da061c8de48576faa36927bec6d3”h2NhNh3(Œnumpy”Œpython >=3.6”Œscikit-learn >=0.18”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ*€8Wß;hEM&KhFˆubh)”}”(hŒpluggy”h#Œ1.0.0”h%Œpyhd8ed1ab_5”h'Khhh(h)hŒ!pluggy-1.0.0-pyhd8ed1ab_5.tar.bz2”h+Œ 7d301a0d25f424d96175f810935f0da9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pluggy-1.0.0-pyhd8ed1ab_5.tar.bz2”h0Œ@c25e1757e4e90638bb1e778aba3ee5f3c01fae9752e3c3929f9be7d367f6c7f3”h2NhNh3Œpython >=3.8”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ×ý‹DhEMë?hFˆubh)”}”(hŒrb-jekyll-github-metadata”h#Œ2.12.1”h%Œ
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r-rcpptoml”Œr-readr >=1.4.0”Œ	r-whisker”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+p'!hshEJ…Y hFˆubh)”}”(hŒr-tippy”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-tippy-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ ade3831e56a7778fb9ef4668057570c3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tippy-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@20cc90e48c9f2c12801ed1b1340e682e7852999f3b872f732b0e4fb84c645dc0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØa«ÓDýôhEMÐhFˆubh)”}”(hŒbluesky-queueserver-api”h#Œ0.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2bluesky-queueserver-api-0.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ 3727a70f343ce52915d6f9ec207b4684”h.Œ`https://conda.anaconda.org/conda-forge/noarch/bluesky-queueserver-api-0.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@26b9a2b18f22ea8630a9477f4af2a611e76159fb1fd33c5e857fa1d940ee3897”h2NhNh3Œbluesky-queueserver”Œhttpx”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÎ°åR°!hEJ hFˆubh)”}”(hŒipannotoryous”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(ipannotoryous-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ ef48efa63ea03dbf204641debb927aba”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/ipannotoryous-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@13c6ee0a4f9dd9087c46e86b148cd308f195377c109b7a218902179c89a29749”h2NhNh3Œipywidgets >=7.0.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØHO˜bhEJ§´
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virtualenv”h#Œ16.7.5”h%Œpy_0”h'K hhh(h)hŒvirtualenv-16.7.5-py_0.tar.bz2”h+Œ f53ccb6e05d3a356e35d867903e25bae”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/virtualenv-16.7.5-py_0.tar.bz2”h0Œ@bad590b45d9ed98a7bc980c5c04b022474b2f415206dfe72395d2e9f05b398c2”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×[¬8QXhEJds2 hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”•      hDGA×L‡ÏÖVhEJ| hFˆubh)”}”(hŒlibxdamage-cos6-x86_64”h#Œ1.1.3”h%Œh1795305_101”h'Kehhh(h)hŒ1libxdamage-cos6-x86_64-1.1.3-h1795305_101.tar.bz2”h+Œ 6ebf91f58ce9eb73123cdcb8b85c3a69”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos6-x86_64-1.1.3-h1795305_101.tar.bz2”h0Œ@56295e7ef4e345b1862943debc354cc92698a86a70c33dbd71d911eab0dbd016”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å%àÅ?}hEM§8hFˆubh)”}”(hŒbleach”h#Œ5.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!bleach-5.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1f5151d37e4a2b1137f81c89a3a769f2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8”h2NhNh3(Œ	packaging”Œpython >=3.6”Œ
setuptools”Œsix >=1.9.0”Œwebencodings”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ®~¼˜ÔþhEJQð hFˆubh)”}”(hŒ
parse_type”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%parse_type-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 03bd1b167c7f4ebde45e1bb233811ca9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/parse_type-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4038add4181bf6dcde5b69cc634c2e1011237e3de2bd49dcf2d4c530d49a4363”h2NhNh3Œparse >=1.6”Œpython >=3.6”Œsix”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØz!HA‰hEMjyhFˆubh)”}”(hŒgrave”h#Œ0.0.3”h%Œpy_1”h'Khhh(h)hŒgrave-0.0.3-py_1.tar.bz2”h+Œ 5b0964ba6eb08d521c42eb92e2b7770b”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/grave-0.0.3-py_1.tar.bz2”h0Œ@e108fbc8099af9a8e7d171071f298cda2118f93713972fc657451a12b9de6d94”h2NhNh3(Œmatplotlib-base”Œnetworkx”Œnumpy”Œ
python >=3”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‘°€ût¼hEMjHhFˆubh)”}”(hŒlibsepol-cos7-x86_64”h#Œ2.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.libsepol-cos7-x86_64-2.5-h9b0a68f_1105.tar.bz2”h+Œ bcce1383ffb7b3460e996153dd457731”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-x86_64-2.5-h9b0a68f_1105.tar.bz2”h0Œ@017054e1a95bd08bb4d36494c5a423091702e5f0a82e988aafed28e6c5e44995”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@f2êŸ¾hEJÎi hFˆubh)”}”(hŒperl-sub-install”h#Œ0.928”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ/perl-sub-install-0.928-pl5321hd8ed1ab_0.tar.bz2”h+Œ 192d83751a5c7b0f4296d946b99f92c9”h.Œ]https://conda.anaconda.org/conda-forge/noarch/perl-sub-install-0.928-pl5321hd8ed1ab_0.tar.bz2”h0Œ@229795c2cd798ae81220bb28c5ffe7de0c34547b2ddb408931099c1aec160e21”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œ	perl-carp”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÑ‘_\)hEMfRhFˆubh)”}”(hŒlibxml2-cos7-aarch64”h#Œ2.9.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libxml2-cos7-aarch64-2.9.1-ha826a6f_1103.tar.bz2”h+Œ 9c99c448b8872a04f933f45d75105b88”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-aarch64-2.9.1-ha826a6f_1103.tar.bz2”h0Œ@2256515b0335ac3a53c3cf61bdf921c7ae67176c7b47605fa8b38a079127f3d5”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ05[33hEJá²
 hFˆubh)”}”(hŒmesa-libglapi-cos7-x86_64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6mesa-libglapi-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 0989a857875eb0ce6d551aa28c25c42b”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@37397c92322433df69de1671a24025e87e79620c3a4c7e42032dd101f06b0038”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å*üffhEMÉ°hFˆubh)”}”(hŒlibx11-devel-cos7-ppc64le”h#Œ1.6.7”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libx11-devel-cos7-ppc64le-1.6.7-h9d98e8f_1104.tar.bz2”h+Œ a061ad9ed1470241ee0391b5a442dc32”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-ppc64le-1.6.7-h9d98e8f_1104.tar.bz2”h0Œ@0bd707ac1061c8ae681dfaa5d944c7c7ec7fef74c04e3c526356a4cb260769f7”h2NhNh3Œ"libx11-cos7-ppc64le ==1.6.7 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~]±ë…hEJD] hFˆubh)”}”(hŒr-d3network”h#Œ0.5.2.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-d3network-0.5.2.1-r42hc72bb7e_2.tar.bz2”h+Œ 2729b98548e040fd7c4434865711d7ba”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-d3network-0.5.2.1-r42hc72bb7e_2.tar.bz2”h0Œ@7f658acaf7dc3e7e9d7cf2b3436b4b810e0b26878b61180fdf9b588aca5318a5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-plyr”Œr-rjson”Œ	r-whisker”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑýU³¥ãhEJ$‰ hFˆubh)”}”(hŒsagemath-db-elliptic-curves”h#Œ0.8.1”h%Œ
hecc5488_0”h'K hhh(h)hŒ4sagemath-db-elliptic-curves-0.8.1-hecc5488_0.tar.bz2”h+Œ 05550d5b83b813f678304b2c719ef39b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/sagemath-db-elliptic-curves-0.8.1-hecc5488_0.tar.bz2”h0Œ@08f34968db2679207bbbd2d82f5773bce567ad03cfadb2089fcd836cd94350cc”h2NhNh3Œsqlite >=3.28.0,<4.0a0”…”h9hºh@ŒGPLv2+”hDGA×BÇëzn˜hEJ]F6 hFˆubh)”}”(hŒr-tidyconsultant”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-tidyconsultant-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 2d51157f42dbd0d795288c6b0b3448ad”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tidyconsultant-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@e384ab95623300d4c9642edea9c0628e2558e4ef2db1604a83fa6cba457d06a9”h2NhNh3(Œr-autostats”Œr-badger”Œr-base >=4.0,<4.1.0a0”Œr-framecleaner”Œr-pacman”Œr-presenter”Œ
r-tidybins”Œ
r-validata”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ©·Ä¬hEJ`© hFˆubh)”}”(hŒ	r-elitism”h#Œ1.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-elitism-1.0.4-r41hc72bb7e_0.tar.bz2”h+Œ 4e25e20491c731eac50ac26ad20e72d4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-elitism-1.0.4-r41hc72bb7e_0.tar.bz2”h0Œ@34a34352a332b672f4b219bb44b302c77e3854173b30dc27de934752c84e9a57”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ.ãŠ»¥ãhEJ¬ hFˆubh)”}”(hŒlibxxf86vm-devel-cos7-aarch64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ9libxxf86vm-devel-cos7-aarch64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ b25a6cf4a3ca6e04f663585d1f3eec0f”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-aarch64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@70b69ef32f92214bfe4d0b0ee23ce0ea6243c3fb5100dddbc0d48593dd41c0d4”h2NhNh3Œ&libxxf86vm-cos7-aarch64 ==1.1.4 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@“›¢^5hEMn1hFˆubh)”}”(hŒpyotf”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pyotf-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ bd7cb5d6eb514aae91739784140998ac”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyotf-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c6caa6f475af2a4041de8df91dfbeec1ebca7c0e4999720782861bf1625e0187”h2NhNh3(Œdphtools”Œmatplotlib-base”Œnumpy”Œpython >=3.8”Œscikit-image”Œscipy”Œtifffile”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÚ®É›dZhEMH‘hFˆubh)”}”(hŒsysroot-cos7-aarch64”h#Œ2.17”h%Œh5b4a56d_11”h'Khhh(h)hŒ-sysroot-cos7-aarch64-2.17-h5b4a56d_11.tar.bz2”h+Œ 96887d917c0545700e9bf4aaa890758d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-aarch64-2.17-h5b4a56d_11.tar.bz2”h0Œ@114c6671517c766ddd88aa9be1e2b12ec4c7a192ed6f17c897e497528300fb73”h2NhNh3Œsysroot_linux-aarch64 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ< LK¥ãhEM•6hFˆubh)”}”(hŒr-europepmc”h#Œ0.4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-europepmc-0.4.1-r42hc72bb7e_1.tar.bz2”h+Œ 09248f4ae2f3f69666a6389716ee7f6d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-europepmc-0.4.1-r42hc72bb7e_1.tar.bz2”h0Œ@cbf5d4086c842b0645143bf593fb1bd4facddc4a082580cd7eb5501fd099b4da”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-plyr”Œ
r-progress”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œ
r-urltools”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒpB=qhEJõ™ hFˆubh)”}”(hŒr-d3network”h#Œ0.5.2.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-d3network-0.5.2.1-r35h6115d3f_0.tar.bz2”h+Œ 9014e7e5ed03206b4747bf52e1ce1c46”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-d3network-0.5.2.1-r35h6115d3f_0.tar.bz2”h0Œ@4bc0c0b91c35cc8044cb8ad1251eb47f7f466959fc2644f43092a0a386d95ed8”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-plyr”Œr-rjson”Œ	r-whisker”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×‰å>E¢hEJ× hFˆubh)”}”(hŒ	r-compare”h#Œ0.2_6”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-compare-0.2_6-r36h6115d3f_0.tar.bz2”h+Œ 93a76931fcb6d567733446f2221de107”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-compare-0.2_6-r36h6115d3f_0.tar.bz2”h0Œ@0c51d0f0679eb89ca442d16beeb7f845b4ada6f0f02f1f9b02e82b490cd5c039”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L$é§PhEJñ hFˆubh)”}”(hŒr-plotwidgets”h#Œ0.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-plotwidgets-0.5.1-r40hc72bb7e_0.tar.bz2”h+Œ 07f81c4d9f6387bcd48a60baf2a693ac”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plotwidgets-0.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@65f316addc2558927dc2224780b4f806e5f4bf7db067a497991b75a61d40cef1”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØž£í`BhEJ	Ž hFˆubh)”}”(hŒpymt_landlab”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒpymt_landlab-0.3.0-py_0.tar.bz2”h+Œ e49b23d1d761ea3d64e46855a51889dc”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pymt_landlab-0.3.0-py_0.tar.bz2”h0Œ@8383b02cf21d7e828cbef9dff73ca4e98601ac142d513d04aaa3b6410fb6d4a8”h2NhNh3Œlandlab”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×8ƒoÙûçhEMFRhFˆubh)”}”(hŒr-turfr”h#Œ0.8_7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-turfr-0.8_7-r42hc72bb7e_1.tar.bz2”h+Œ fd37dafed305d843309cace66dc32d76”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-turfr-0.8_7-r42hc72bb7e_1.tar.bz2”h0Œ@05a11eaf60ba4ea91133a3e7e19f95355cbaec116090b5f5a2ada1e16b764979”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.3.0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑö8ê~úhEMuâhFˆubh)”}”(hŒsos-bash”h#Œ0.20.0”h%Œpy_0”h'K hhh(h)hŒsos-bash-0.20.0-py_0.tar.bz2”h+Œ e02be8948cd59fc822b420f145a8fb1f”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sos-bash-0.20.0-py_0.tar.bz2”h0Œ@ecaa069263da1d225ddcdd5775c1197abf92d40f1d96b1bd8b147512c25d7730”h2NhNh3Œcalysto_bash”Œpython >=3.6”Œsos-notebook >=0.19.4”‡”h9h?h@ŒBSD”hBŒBSD”hDGA×©,<îùÛhEMæhFˆubh)”}”(hŒr-survmetrics”h#Œ0.5.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-survmetrics-0.5.0-r41hc72bb7e_1.tar.bz2”h+Œ 6a8d414610a9e504b61ffe3de766bd44”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survmetrics-0.5.0-r41hc72bb7e_1.tar.bz2”h0Œ@b09069a8c84710522c3a207c9e57f55a978d5d350b61764bb2eb1b76230076fe”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-pec”Œr-randomforestsrc”Œ
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hEJsØ hFˆubh)”}”(hŒrectpack”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#rectpack-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3f81cbab026a3186b39a1af88eda89ca”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rectpack-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1753d0631a5bbedca1d56fcd5b35b4267fb58a69902e876c0d6510f7e002a059”h2NhNh3Œpython >=3.7”…”h9h?h@Œ
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r-text2vec”Œr-tfse”Œr-tibble”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+Ò?É%hEJé# hFˆubh)”}”(hŒr-km.ci”h#Œ0.5_6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-km.ci-0.5_6-r41hc72bb7e_0.tar.bz2”h+Œ 0420db5b8aad594769f24f5940f4f386”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-km.ci-0.5_6-r41hc72bb7e_0.tar.bz2”h0Œ@6ea3de37f6ed7b85336060c2332005ac534e9569fc225f79bb21e5168515812a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-survival”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ“Ž0K÷ÏhEJÀT hFˆubh)”}”(hŒfido2”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ fido2-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ dc825f1648fc8cf5409fd2e07a74f79f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fido2-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@122637d69f37d32ed1eda1c3e71fe2de73978b4e4f687d555b4366e0f7d63421”h2NhNh3Œcryptography”Œpython >=3.7”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¨Ez"áHhEJ\^ hFˆubh)”}”(hŒ	redengine”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$redengine-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 94461bf94cf43891e19c975038dcebaf”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/redengine-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7b02e072882882bf646e5adc5b33568c2a4d089b65cfea2a7e1537cff547f0eb”h2NhNh3(Œpandas”Œpydantic”Œpython >=3.7”Œredbird >=0.5.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ³ÇßÑë…hEJ‡‘ hFˆubh)”}”(hŒr-uroot”h#Œ2.1_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-uroot-2.1_2-r41hc72bb7e_0.tar.bz2”h+Œ f027b312a8c813cb22297454f1a0c45d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-uroot-2.1_2-r41hc72bb7e_0.tar.bz2”h0Œ@1da26dfa6bec0dfba9f78e30fe1bad18ecdb8e5a20fdacfcfd921b21e895606e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+ŽÛ#hEJf} hFˆubh)”}”(hŒimportrosbag”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'importrosbag-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3c2775b45f1634afca38f64f4222cf70”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/importrosbag-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@e906458c4e8378e02e313a70c79e7599259f2af46769c417a182c919c7819fea”h2NhNh3(Œnumpy”Œpython >=3.6”Œ
setuptools”Œtqdm”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ/÷:vffhEMù>hFˆubh)”}”(hŒr-alphahull”h#Œ2.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-alphahull-2.5-r42hc72bb7e_1.tar.bz2”h+Œ cc2f152d3c927e74b643e201f1089057”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-alphahull-2.5-r42hc72bb7e_1.tar.bz2”h0Œ@0d1f60af7f9a849c5ccbe8c508ef6410a36e5618bf029e0200e08e90c88f4744”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-interp”Œ	r-r.utils”Œ
r-sgeostat”Œr-spatstat.geom”Œr-spatstat.random”Œ	r-splancs”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒª2C•hEJó±	 hFˆubh)”}”(hŒ	r-waterml”h#Œ1.9.8”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ%r-waterml-1.9.8-r36hc72bb7e_0.tar.bz2”h+Œ 4e0b1a26defb8ed7bac06d628a4596e4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-waterml-1.9.8-r36hc72bb7e_0.tar.bz2”h0Œ@a9a477a7cd0262573df1b6b34d4f192dbe23fabc3b5569b6e874b84d5047970b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-httr”Œr-xml”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ_ìV—hEJ5+ hFˆubh)”}”(hŒr-operator.tools”h#Œ1.6.3”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ/r-operator.tools-1.6.3-r40hc72bb7e_1003.tar.bz2”h+Œ 7e2e000449425fafc0449269bebe837b”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-operator.tools-1.6.3-r40hc72bb7e_1003.tar.bz2”h0Œ@941530f3fc5ccce5f2c5470995e03d38ef167eb03a4d970a441e4132d532cb0d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*â~ “uhEJZ  hFˆubh)”}”(hŒr-ncdunnett”h#Œ1.1.0”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ*r-ncdunnett-1.1.0-r40h6115d3f_1002.tar.bz2”h+Œ f675e7dbe470b07c5d67a7a8bc5d274f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ncdunnett-1.1.0-r40h6115d3f_1002.tar.bz2”h0Œ@1a81a9ecfbaecbd43fc4d4dd26e703a8fe4a7767b4c2da2ae6b7817cad377b1c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬Ÿ.üzáhEMéçhFˆubh)”}”(hŒ
r-smoother”h#Œ1.1”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ'r-smoother-1.1-r41ha770c72_1003.tar.bz2”h+Œ a53c69f8ecd3cec6aea874e01e16aa24”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-smoother-1.1-r41ha770c72_1003.tar.bz2”h0Œ@45c52829728c3ba53f8a03e3c150e83a4d614ce02a381782a24ffbec70dc7793”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ttr >=0.22”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ(
JhEMÑhFˆubh)”}”(hŒr-assertive.reflection”h#Œ0.0_5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ2r-assertive.reflection-0.0_5-r40hc72bb7e_0.tar.bz2”h+Œ e6100b0813a4bf04a3c9523ac7c2c7ce”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.reflection-0.0_5-r40hc72bb7e_0.tar.bz2”h0Œ@80af5ba63bfc51c84a5b60640f3dd159728727e902a1e3fea2ceddb3742687a1”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.0,<4.1.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*ìÇŠŸ¾hEJÎ2 hFˆubh)”}”(hŒpython-hdfs”h#Œ2.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&python-hdfs-2.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 91030ec601955dda9488c93b13afeac3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/python-hdfs-2.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@42614c06f03f78f55337ad04975d53faabb7c62e94a3c8ff061fce989bd97f83”h2NhNh3(Œdocopt”Œfastavro >=0.21.19”Œpandas >=0.14.1”Œpython >=2.7”Œrequests >=2.7.0”Œrequests-kerberos >=0.7.0”Œsix >=1.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‚ÎùÛhEMûyhFˆubh)”}”(hŒdash_colorscales”h#Œ0.0.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+dash_colorscales-0.0.4-pyh9f0ad1d_0.tar.bz2”h+Œ 5f285d533608739c1d98f5e5e69b685a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/dash_colorscales-0.0.4-pyh9f0ad1d_0.tar.bz2”h0Œ@feb190ef05d2591ae2f8fde7909a35bec0ff1763acb6c3fcc88700b24d85de13”h2NhNh3Œdash”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×¾ciÊÁhEMÞëhFˆubh)”}”(hŒlibibverbs-devel-cos6-x86_64”h#Œ1.1.8”h%Œh2da7399_1100”h'MLhhh(h)hŒ8libibverbs-devel-cos6-x86_64-1.1.8-h2da7399_1100.tar.bz2”h+Œ f07559ac893f72e5453cab2b1309141d”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libibverbs-devel-cos6-x86_64-1.1.8-h2da7399_1100.tar.bz2”h0Œ@0702c23aaef584a87f1d632bbea83199348d626722374c1cea9ab043a8ae4cac”h2NhNh3Œlibibverbs-cos6-x86_64 1.1.8”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Ä™î}hEJÙ hFˆubh)”}”(hŒtypish”h#Œ1.9.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!typish-1.9.3-pyhd8ed1ab_0.tar.bz2”h+Œ 81b3f3101aa2af117924d908a1b33c67”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/typish-1.9.3-pyhd8ed1ab_0.tar.bz2”h0Œ@b2f45488f2ea1448e478adc7f42848d6a6d1a9bb5fcce45d8e8c09ad281a42ea”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØCLhSçmhEMNhFˆubh)”}”(hŒr-mi”h#Œ1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒr-mi-1.1-r40hc72bb7e_0.tar.bz2”h+Œ 606461586baaa1b302450a5d909909ea”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-mi-1.1-r40hc72bb7e_0.tar.bz2”h0Œ@6c416a45516140601e584134b9bbcd49b6ddbc1d57becbc590081c340185bb6c”h2NhNh3Œr-arm >=1.4_11”Œr-base >=4.0,<4.1.0a0”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ§¯›9ë…hEJ‰# hFˆubh)”}”(hŒenrich”h#Œ1.2.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!enrich-1.2.7-pyhd8ed1ab_0.tar.bz2”h+Œ da15e1be3c652c4621482c89c9d18234”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/enrich-1.2.7-pyhd8ed1ab_0.tar.bz2”h0Œ@d969a22920e30157a89f0993fcdc70e785ec555eaa8ea0c7aa544d8d0f5dd022”h2NhNh3Œpython >=3.6”Œrich >=9.5.1”†”h9h?h@ŒMIT”hBŒMIT”hDGAØw"’¿
=hEM-hFˆubh)”}”(hŒr-ebayesthresh”h#Œ1.4_12”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ.r-ebayesthresh-1.4_12-r41hc72bb7e_1004.tar.bz2”h+Œ 8c5eb0a0324c4c91601343fd4a69eb6b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-ebayesthresh-1.4_12-r41hc72bb7e_1004.tar.bz2”h0Œ@8f3fcca6bdcfbab15058c53ea2f2ccd7df5041c4ed3d954969bb41c66d4ed823”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-wavethresh”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ2ûR~úhEJ1ä hFˆubh)”}”(hŒgenson”h#Œ1.2.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!genson-1.2.2-pyh9f0ad1d_0.tar.bz2”h+Œ b81e260d49a36f570e4b251b614dcdde”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/genson-1.2.2-pyh9f0ad1d_0.tar.bz2”h0Œ@9539754b644f051ed779c943f0faa667e7a8a52993f94c8f228d0507f3607998”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Ý37›¦hEM¾OhFˆubh)”}”(hŒr-showtextdb”h#Œ3.0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ&r-showtextdb-3.0-r40h6115d3f_0.tar.bz2”h+Œ 6d932b19adda8543507e2a75360060f0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-showtextdb-3.0-r40h6115d3f_0.tar.bz2”h0Œ@58dc5abbc3ae0c84e2777fbdb5e7be714751330b312ec96bba6c0eaf9b7a3e7b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-sysfonts >=0.7.1”†”h9hºh@ŒApache (>= 2.0)”hBŒAPACHE”hDGA×¶-„¼jhEJ! hFˆubh)”}”(hŒsphinx-tabs”h#Œ3.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&sphinx-tabs-3.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ b04565a0bfac26170025770fe3256dcd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/sphinx-tabs-3.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@79228ab583277a527456786f2060211bfed2647259b960566af1718d44dae2aa”h2NhNh3(Œdocutils >=0.16.0”Œpygments”Œpython >=3.6”Œsphinx >=2,<5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ°ÑÚ-hEM7hFˆubh)”}”(hŒr-smatr”h#Œ3.4_8”h%Œr40h6115d3f_2”h'Khhh(h)hŒ#r-smatr-3.4_8-r40h6115d3f_2.tar.bz2”h+Œ 67ff27f6f17afd8f3780397b2680d329”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-smatr-3.4_8-r40h6115d3f_2.tar.bz2”h0Œ@fceaa522a08044c2caa8a12d7fb41b8d6eed5894c3ce812a6a3deab015e6b42a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬I¨“uhEJyƒ hFˆubh)”}”(hŒr-bsda”h#Œ1.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-bsda-1.2.1-r41hc72bb7e_0.tar.bz2”h+Œ c69b9d319cd0b29e536d6eb5a798a3d4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bsda-1.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@a920a0f73e8f556e8181a834c47771048decc8d8ae220b8e3b04b428b707afe7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-e1071”Œ	r-lattice”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØMÎ@QìhEJß hFˆubh)”}”(hŒr-kableextra”h#Œ1.3.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ(r-kableextra-1.3.4-r36hc72bb7e_0.tar.bz2”h+Œ d4426c5d65570a7649ce203d85627cad”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-kableextra-1.3.4-r36hc72bb7e_0.tar.bz2”h0Œ@40d10521cdf98581f8418bbdd45f1b3aa263496875df85e216d41235094b520d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-digest”Œr-glue”Œr-htmltools”Œr-knitr >=1.16”Œ
r-magrittr”Œr-rmarkdown >=1.6.0”Œr-rstudioapi”Œr-rvest”Œr-scales”Œr-stringr >=1.0”Œ	r-svglite”Œr-viridislite”Œ	r-webshot”Œr-xml2 >=1.1.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ2Ï9XhEJW9 hFˆubh)”}”(hŒr-ineq”h#Œ0.2_13”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ&r-ineq-0.2_13-r40h6115d3f_1002.tar.bz2”h+Œ bb1d6f1c504bc6ba0d90c0881a0393bf”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ineq-0.2_13-r40h6115d3f_1002.tar.bz2”h0Œ@56126a79f0c3f129775348eb96bf8a0d826506082444dcee1d5369ca076f7bb3”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×¬¹`éë…hEJ=œ hFˆubh)”}”(hŒr-survminer”h#Œ0.4.9”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ'r-survminer-0.4.9-r36hc72bb7e_0.tar.bz2”h+Œ 638163bef5de509f30c549fccb7ecf61”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-survminer-0.4.9-r36hc72bb7e_0.tar.bz2”h0Œ@ed2eef4e220d8ae62e176a2fc43b900f31030dd47f1c50ba93cb3f29c4990fbb”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-broom”Œr-dplyr”Œ	r-ggplot2”Œr-ggpubr >=0.1.6”Œr-ggtext >=0.1.0”Œr-gridextra >=2.0”Œ
r-magrittr”Œ	r-maxstat”Œr-purrr”Œr-rlang”Œr-scales”Œ
r-survival”Œ
r-survmisc”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÖb¬hEJÀ/ hFˆubh)”}”(hŒ
inflection”h#Œ0.5.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%inflection-0.5.1-pyh9f0ad1d_0.tar.bz2”h+Œ c3ff5647834bb23f48622fa08c29cf21”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/inflection-0.5.1-pyh9f0ad1d_0.tar.bz2”h0Œ@0f3fd05a84a500760c1fed72e725782d03e7ff9d69d02fa258724e6dace78549”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Ð:­Û¥ãhEM~$hFˆubh)”}”(hŒr-filematrix”h#Œ1.3”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ)r-filematrix-1.3-r41hc72bb7e_1002.tar.bz2”h+Œ 9a56af5898f516796a891f26a8147e7e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-filematrix-1.3-r41hc72bb7e_1002.tar.bz2”h0Œ@e8ac16b44c1d595995605059cbea1bb5467d030974ebfc50b71b6a6e486d71a0”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ+'ÓâÐåhEJ€  hFˆubh)”}”(hŒlibxxf86vm-devel-cos7-ppc64le”h#Œ1.1.4”h%Œh1795305_101”h'Kehhh(h)hŒ8libxxf86vm-devel-cos7-ppc64le-1.1.4-h1795305_101.tar.bz2”h+Œ 22d6e2fed9e997b1df0a4ca0ddd72525”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-ppc64le-1.1.4-h1795305_101.tar.bz2”h0Œ@1a9d0f244c5db77dcd792c788369bc2f77dc06695c3cbe461f47c8401cf0a326”h2NhNh3Œlibxxf86vm-cos7-ppc64le 1.1.4”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&%`ÔþhEMª-hFˆubh)”}”(hŒlibsepol-cos7-aarch64”h#Œ2.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libsepol-cos7-aarch64-2.5-h9b0a68f_1105.tar.bz2”h+Œ eb9a27a7efa4816f14a6555072b6dac6”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-aarch64-2.5-h9b0a68f_1105.tar.bz2”h0Œ@ecd72fae94917802e562cd59f7ca548fcf4d79106fcc6aca977422f7af2a3470”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@ŠLÛ…hEJ,S hFˆubh)”}”(hŒrfc3339”h#Œ6.2”h%Œpy_0”h'K hhh(h)hŒrfc3339-6.2-py_0.tar.bz2”h+Œ 8c64e52bd2ad3fad8ba816aa4677ed27”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/rfc3339-6.2-py_0.tar.bz2”h0Œ@c68a029ff52e710d90cc091464c0fab733ca098da292508a74c2eaa645ecba9b”h2NhNh3Œpython”…”h9h?h@ŒISCL”hBŒBSD”hDGA×f–ófffhEM9!hFˆubh)”}”(hŒsktime”h#Œ0.10.0”h%Œpyh81a9013_0”h'K hhh(h)hŒ"sktime-0.10.0-pyh81a9013_0.tar.bz2”h+Œ 7efc3cb00c2afbaf1c3a106fe7b6e0cf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sktime-0.10.0-pyh81a9013_0.tar.bz2”h0Œ@30cd2d6851eee1a8dee9aa1243a7797ec3cda471e5e8d941c3f3f5917a9f8e45”h2NhNh3(Œdeprecated >=1.2.13”Œnumba >=0.50,<0.55”Œnumpy >=1.21.5,<2.0a0”Œpandas >=1.1.0,<1.5”Œpython”Œscikit-learn >=0.24.0”Œstatsmodels >=0.12.1”t”h6(Œprophet >=1.0”Œpmdarima >=1.8.0,!=1.8.1”Œseaborn >=0.11.0”Œstumpy >=1.5.1”Œmatplotlib-base >=3.3.2”Œscikit-posthocs >=0.6.5”Œtsfresh >=0.17.0”Œhcrystalball >=0.1.9”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…ôyKÆ¨hEJï/T hFˆubh)”}”(hŒlibxinerama-devel-cos7-aarch64”h#Œ1.1.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9libxinerama-devel-cos7-aarch64-1.1.3-h9d98e8f_104.tar.bz2”h+Œ e32eafbd344e52bf3b3350a076768300”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos7-aarch64-1.1.3-h9d98e8f_104.tar.bz2”h0Œ@b4153d3c690b240a85c909b2ce1a700ee861f1bfb3ac8406522b125255ff249f”h2NhNh3Œ&libxinerama-cos7-aarch64 ==1.1.3 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}åšŸ¾hEMz'hFˆubh)”}”(hŒ	r-tfisher”h#Œ0.2.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-tfisher-0.2.0-r36h6115d3f_0.tar.bz2”h+Œ 87b26cf0ca0a3fd5536f2a5b8e5f4147”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tfisher-0.2.0-r36h6115d3f_0.tar.bz2”h0Œ@2a4428530ec30f1bcdca2243c74d0fb514ab10d35af3c4120dec6470c39c9702”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-matrix”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×{‘_¤“hEJPt hFˆubh)”}”(hŒpango-devel-cos7-x86_64”h#Œ1.42.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ4pango-devel-cos7-x86_64-1.42.4-ha826a6f_1103.tar.bz2”h+Œ 47c5cc6bd3f3f80f7ec6426a9eabd625”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-x86_64-1.42.4-ha826a6f_1103.tar.bz2”h0Œ@fb70df8365d67d972de1c0fe3313cb5808b4bf419e8ebebace4059759c2d550c”h2NhNh3(Œ(cairo-devel-cos7-x86_64 >=1.12.10 *_1103”Œ-fontconfig-devel-cos7-x86_64 >=2.11.91 *_1103”Œ)freetype-devel-cos7-x86_64 >=2.1.5 *_1103”Œ'glib2-devel-cos7-x86_64 >=2.56.1 *_1103”Œ!pango-cos7-x86_64 ==1.42.4 *_1103”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ3FÄœhEJ¤ hFˆubh)”}”(hŒversioneer-518”h#Œ0.19”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(versioneer-518-0.19-pyhd8ed1ab_0.tar.bz2”h+Œ ebc9705be8d16eb7205acc5b16e1abce”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/versioneer-518-0.19-pyhd8ed1ab_0.tar.bz2”h0Œ@16dfd1f125457c43ff6db3fae4da9d979ebd6d82ef03b2c305fcbd70d137e9f4”h2NhNh3Œpython >=2.7”…”h9h?h@ŒNIST-PD”hDGAØS@õÃhEMîRhFˆubh)”}”(hŒ
r-conicfit”h#Œ1.0.4”h%Œ	r351_1000”h'Mèhhh(h)hŒ"r-conicfit-1.0.4-r351_1000.tar.bz2”h+Œ 86bbc82c5c469d6a0d7dfcc2ef04c632”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-conicfit-1.0.4-r351_1000.tar.bz2”h0Œ@053059129a584b439b17132e14ca2d26daa9d8a1d27653b58e2bac4715fc69e0”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-geigen”Œr-pracma”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖþR£äýôhEJ¼˜ hFˆubh)”}”(hŒdemquery”h#Œ0.3.1”h%Œpy_0”h'K hhh(h)hŒdemquery-0.3.1-py_0.tar.bz2”h+Œ 66f390664daf706744f17ffe90add1f4”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/demquery-0.3.1-py_0.tar.bz2”h0Œ@f69ca2f16b5dc7ddd7a6bb4703508a23c99a7acb02764681d170fe374360ee4f”h2NhNh3(Œgdal >=2.4.0”Œnumpy >=1.16”Œpython >=3.5.0”Œrasterio >=1.0”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Ïo·
=hEM1/hFˆubh)”}”(hŒpdfminer.six”h#Œ20201018”h%Œpy_1”h'Khhh(h)hŒ"pdfminer.six-20201018-py_1.tar.bz2”h+Œ f2e9e8a3443e24ef5ac630943e225bd0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pdfminer.six-20201018-py_1.tar.bz2”h0Œ@5e720101561e3ce0f8b721869abcfc2890a8b7c349f3a12f00b40b609022efc6”h2NhNh3(Œchardet”Œcryptography”Œpython >=3.6”Œsortedcontainers”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ãñöVhEJí´M hFˆubh)”}”(hŒr-wmtsa”h#Œ2.0_3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-wmtsa-2.0_3-r36h6115d3f_1002.tar.bz2”h+Œ 32208e42cb286481647a7d57556104fe”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wmtsa-2.0_3-r36h6115d3f_1002.tar.bz2”h0Œ@bf58de9c2ff2c12782ec12529b8e045d2a725e4fde2fb8e43c0dc52b31888259”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ifultools >=2.0_0”Œr-mass”Œr-splus2r >=1.2_0”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«íjY‡hEJøê hFˆubh)”}”(hŒr-circstats”h#Œ0.2_6”h%Œr40hd8ed1ab_1002”h'Mêhhh(h)hŒ*r-circstats-0.2_6-r40hd8ed1ab_1002.tar.bz2”h+Œ 9f3c2bf37a49aca57ac077a27cc72e5a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-circstats-0.2_6-r40hd8ed1ab_1002.tar.bz2”h0Œ@adc3657c23ff93063f00837c9800e8370b2235cef811fb724d89c7419ec74257”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ã{33hEJŽÐ hFˆubh)”}”(hŒr-pathdiagram”h#Œ0.1.9.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ+r-pathdiagram-0.1.9.1-r40hc72bb7e_1.tar.bz2”h+Œ 70c3149438d3edb9b928d6e3dde428b4”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-pathdiagram-0.1.9.1-r40hc72bb7e_1.tar.bz2”h0Œ@c17952361f3bb3e03f23a27cb60aafb4717914272df5fefb2d821a2959ee58a1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-shape”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+17LhEJØº hFˆubh)”}”(hŒparamnb”h#Œ2.0.4”h%Œpy_0”h'K hhh(h)hŒparamnb-2.0.4-py_0.tar.bz2”h+Œ 122e6a02c3334d1b4d05b77d6fe62529”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/paramnb-2.0.4-py_0.tar.bz2”h0Œ@6590ec136edb09add06bbbcd05468ee989a18d09d2b7d2b5281b0185754b6353”h2NhNh3Œipywidgets >=5.2.2”Œparam >=1.7.0”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖïÀ®
=hEJô<! hFˆubh)”}”(hŒr-pixmap”h#Œ0.4_12”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-pixmap-0.4_12-r41hc72bb7e_0.tar.bz2”h+Œ 1509130d683c3a51e0367ddcede1e21d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pixmap-0.4_12-r41hc72bb7e_0.tar.bz2”h0Œ@979f36c17eeb1dd66d25b3275b3bb9f62412a7eb04daa8c80b3ec58347cd3c44”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*Øœçß;hEJÅ• hFˆubh)”}”(hŒgtk2-devel-cos7-aarch64”h#Œ2.24.31”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4gtk2-devel-cos7-aarch64-2.24.31-hdf0574f_102.tar.bz2”h+Œ 2e7d28fe2dd3f1421203c44232f0627f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos7-aarch64-2.24.31-hdf0574f_102.tar.bz2”h0Œ@a5fa5f7c9e43878ce0131a5bc2dc178be5ef4e39b716385b600ca9a548fb3c50”h2NhNh3(Œ%atk-devel-cos7-aarch64 >=1.29.4 *_102”Œ&cairo-devel-cos7-aarch64 >=1.6.0 *_102”Œ'glib2-devel-cos7-aarch64 >=2.28.0 *_102”Œ!gtk2-cos7-aarch64 ==2.24.31 *_102”Œ'pango-devel-cos7-aarch64 >=1.20.0 *_102”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi°À1'hEJ)P6 hFˆubh)”}”(hŒxtrude”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!xtrude-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0629d0bf093f882a537c0798f5aea18b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/xtrude-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c50e41a565540725f61925696b3aff8cb181190a0bde57e78985ecacda756b91”h2NhNh3(Œ
affine >=2”Œaiohttp >=3”Œaiohttp-cors >=0.7”Œipyspin >=0.1.2”Œjupyter-server-proxy >=1.5”Œmercantile >=1”Œ
pillow >=7”Œpydeck >=0.5”Œpython >=3.6.0”Œrasterio >=1”Œrioxarray >=0.1”t”h9h?h@ŒMIT”hBŒMIT”hDGA×è²4rÐåhEMŠ"hFˆubh)”}”(hŒr-ggbump”h#Œ0.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-ggbump-0.1.0-r36h6115d3f_0.tar.bz2”h+Œ e960de78399abf20cc84f70227bfb9e4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggbump-0.1.0-r36h6115d3f_0.tar.bz2”h0Œ@b1be83eb0f2acc66dddfaf5142431e6106deb68672ef842e3b5021b10c2df0a9”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-purrr”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×©ùj{dZhEJT  hFˆubh)”}”(hŒr-integr”h#Œ1.0.0”h%Œr40h142f84f_0”h'K hhh(h)hŒ$r-integr-1.0.0-r40h142f84f_0.tar.bz2”h+Œ 23632ace2f5237515751377adf649dce”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-integr-1.0.0-r40h142f84f_0.tar.bz2”h0Œ@23cc49760a66e60110ae42ea362b2855381fc9d6e26d9c454cedbdb228217d78”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-diagrammer >=1.0.0”Œr-diagrammersvg >=0.1”Œr-dplyr >=0.7.6”Œr-gtools >=3.5.0”Œr-rsvg >=1.3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×å*GhEJX	 hFˆubh)”}”(hŒfredapi”h#Œ0.4.2”h%Œpy_0”h'K hhh(h)hŒfredapi-0.4.2-py_0.tar.bz2”h+Œ 2b07007da8afa286fb8c761eecfa3acf”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/fredapi-0.4.2-py_0.tar.bz2”h0Œ@36c1f3a168d069d3680686386a31eb3529a5ee3c1481339d31774fa603a26fac”h2NhNh3Œpandas”Œpython”†”h9h?h@Œ
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Apache-2.0”hBŒApache”hDGA×Zà®2n˜hEJ]€ hFˆubh)”}”(hŒr-leaflet.extras”h#Œ1.0.0”h%Œr36h6115d3f_1004”h'Mìhhh(h)hŒ/r-leaflet.extras-1.0.0-r36h6115d3f_1004.tar.bz2”h+Œ c622e382d4e6c7ae0864c79d04fdd7e4”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-leaflet.extras-1.0.0-r36h6115d3f_1004.tar.bz2”h0Œ@98d5596e8e9d4d08b9f74f899bea5747e1df5b282353453be7c1ce6d4172b4bf”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet >=2.0.0”Œ
r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬ŽEm‘hhEJäS hFˆubh)”}”(hŒr-missforest”h#Œ1.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-missforest-1.5-r41hc72bb7e_1.tar.bz2”h+Œ 46303f00a32cc97361ef2d2a02203147”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-missforest-1.5-r41hc72bb7e_1.tar.bz2”h0Œ@19e2e671ee921f4899bad5f93c8338158638d009d08447a4d7787a3ce10bb9de”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dorng”Œ	r-foreach”Œr-iterators”Œr-itertools”Œr-randomforest”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑœJa©ühEJ› hFˆubh)”}”(hŒ	dpu-utils”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$dpu-utils-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ d5c420a7d10b8a4ba8177a56538cc6c9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dpu-utils-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@466cb716e724772c8bf0591b4c04d89eb7e9e1dc1cadcdc46527a4b7504ee619”h2NhNh3(Œazure-identity”Œazure-storage-blob”Œcffi”Œchardet”Œcryptography”Œdocopt”Œidna”Œisodate”Œmsal”Œmsrest”Œnumpy”Œoauthlib”Œportalocker ~=1.0”Œ	pycparser”Œpython >=3.6”Œregex”Œrequests”Œsentencepiece 0.1.92”Œsetsimilaritysearch”Œtqdm”Œurllib3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØT	—hEM¢ØhFˆubh)”}”(hŒ
matscholar”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%matscholar-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ f9ab7c92d421afc8deedcdaeb7ad77fa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/matscholar-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@9193d07732aa1a23b7733976850ecdf15c068c398a61ec10d58e4d4a009d7f74”h2NhNh3(Œnumpy”Œpython >=3.5”Œpyyaml”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGA×û&+"ÑhEM”/hFˆubh)”}”(hŒlibsepol-devel-cos7-ppc64le”h#Œ2.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libsepol-devel-cos7-ppc64le-2.5-h9b0a68f_105.tar.bz2”h+Œ b1575cc7e8f141d5845c466afad4524b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-ppc64le-2.5-h9b0a68f_105.tar.bz2”h0Œ@2d37b284ba45cd933a72816022de554502b28bbcd3bea4987c94c9b4410d73c4”h2NhNh3Œ!libsepol-cos7-ppc64le ==2.5 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‹C[…hEMq¯hFˆubh)”}”(hŒr-bigparallelr”h#Œ0.3.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-bigparallelr-0.3.2-r40hc72bb7e_0.tar.bz2”h+Œ 39f3457ad1e6cb496e3689a1f210b9a3”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bigparallelr-0.3.2-r40hc72bb7e_0.tar.bz2”h0Œ@0afc587f1d94498aadecfa216e76abc79380a91dadb51cf6bbfe137203266474”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bigassertr >=0.1.1”Œr-doparallel”Œr-flock”Œ	r-foreach”Œr-parallelly”Œr-rhpcblasctl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØV7UŸ|îhEMçhFˆubh)”}”(hŒlibxtst-devel-cos7-aarch64”h#Œ1.2.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libxtst-devel-cos7-aarch64-1.2.3-ha826a6f_1103.tar.bz2”h+Œ 89290572c69fd48046b8cdb3c2e10b63”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos7-aarch64-1.2.3-ha826a6f_1103.tar.bz2”h0Œ@fb81bc16c99bac44cff516d1f689a9dbb56d6639ada97282520502acacae0cf6”h2NhNh3Œ#libxtst-cos7-aarch64 ==1.2.3 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3Å©&éhEMÌ1hFˆubh)”}”(hŒshiv”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒshiv-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ abb033fa8c8e7db45e95014305304386”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/shiv-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@ae80649f0727312e266b113c18acd825490634bd38a2ce27169bf222ad3ac3f2”h2NhNh3(Œclick !=7.0,>=6.7”Œimportlib-resources”Œpip >=9.0.3”Œpython >=3.6”Œ
setuptools”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÙÈÙûçhEM/OhFˆubh)”}”(hŒr-sparsepca”h#Œ0.1.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-sparsepca-0.1.2-r36h6115d3f_1.tar.bz2”h+Œ 2417be8a97ac470c6a270add7923b051”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepca-0.1.2-r36h6115d3f_1.tar.bz2”h0Œ@8bb672150801ba01f77c3e50e13c4f63104e60c88c62aa33f5babb988156f4f9”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rsvd”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯–Ã33hEJ3 hFˆubh)”}”(hŒ
gfal2-util”h#Œ1.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%gfal2-util-1.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0263dda394bfbdb67e6bf541b459c105”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/gfal2-util-1.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@61a07d3813c75720a40e5affc2c5072ece2f033d5e32d2a56bac9ba14bac5fcc”h2NhNh3Œpython >=2.7”Œpython-gfal2”†”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÄ†­›Æ¨hEM~‹hFˆubh)”}”(hŒlibxdamage-cos7-aarch64”h#Œ1.1.4”h%Œ
h1341992_0”h'K hhh(h)hŒ0libxdamage-cos7-aarch64-1.1.4-h1341992_0.tar.bz2”h+Œ e96ee917d9894f3fe8f8ab34374177cf”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-aarch64-1.1.4-h1341992_0.tar.bz2”h0Œ@4d1b7ed10d306a6bf318a16e4b789f80a8fd1e6870ed69e00dc91def45f90694”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ZFæ!G®hEM)ChFˆubh)”}”(hŒblend_modes”h#Œ2.1.0”h%Œpy_0”h'K hhh(h)hŒblend_modes-2.1.0-py_0.tar.bz2”h+Œ 3795e55e4f3f070dc79af8478d60bcdb”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/blend_modes-2.1.0-py_0.tar.bz2”h0Œ@3908a996730ad6f813439f225610752026d4d623e4bad4886004b95219eeece8”h2NhNh3Œnumpy”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGA×MxèùG®hEM«0hFˆubh)”}”(hŒr-lifecycle”h#Œ1.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-lifecycle-1.0.3-r42hc72bb7e_1.tar.bz2”h+Œ a380eaafa79a6fb6866924accc451f1b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-lifecycle-1.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@449db7b667ef1e94084e09b58b4881854887eb7b809d9e0068e5ad682297ce23”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.4.0”Œr-glue”Œr-rlang >=1.0.6”t”h9hºh@ŒMIT”hBŒGPL3”hDGAØÐ&cKÆ¨hEJ”ô hFˆubh)”}”(hŒr-gwidgets2tcltk”h#Œ1.0_8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-gwidgets2tcltk-1.0_8-r42hc72bb7e_1.tar.bz2”h+Œ f705fc7e87740d80d9ad2ba9c2820484”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets2tcltk-1.0_8-r42hc72bb7e_1.tar.bz2”h0Œ@3dbea94a8c1ed9c2c163c413e17aaf499350ff6837010eff8a488096cbf2eb0d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-gwidgets2 >=1.0.7”Œ	r-memoise”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ-ó¶hEJ>« hFˆubh)”}”(hŒmkdocs-autorefs”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*mkdocs-autorefs-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ b1cfb56cccdfcbca092fc02328fa8638”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mkdocs-autorefs-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@99fc9a483680d1d96b8f7adfd20bec73fd1fa3a808258b5497dc96d5ba2df3e0”h2NhNh3Œmarkdown >=3.3”Œmkdocs >=1.1”Œpython >=3.7,<4.0”‡”h9h?h@ŒISC”hDGAØ‰–xØbNhEM32hFˆubh)”}”(hŒaddicty”h#Œ2022.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%addicty-2022.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ e8533edcb3deab7c41d39cef03d2fdc7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/addicty-2022.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9f6aa0c2cab66050a89775e17dfb7c7a78f49ccced5c13dc06e84af6cd102a83”h2NhNh3Œpython >=3.7”Œpyyaml”Œyamllint”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ…¦$
=hEME+hFˆubh)”}”(hŒr-exposition”h#Œ2.8.23”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ)r-exposition-2.8.23-r40hc72bb7e_2.tar.bz2”h+Œ 1aebae02ad58c59916c1a755b99cb009”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-exposition-2.8.23-r40hc72bb7e_2.tar.bz2”h0Œ@08e7e54a90c07a6e9779549ae3017137a21ef10a38fd2da1e13d686dfa4630c7”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-prettygraphs >=2.1.4”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+Æ§ðhEJ…0 hFˆubh)”}”(hŒcompress-pickle”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*compress-pickle-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 21af9c0c955a71259c3c0475d13c6004”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/compress-pickle-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c2b9ee414c18c6c3a6da467687af175d6e81050c7fd43d4e97c19df961cdef23”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÜ¨•œ¼jhEM1LhFˆubh)”}”(hŒ	r-histdat”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-histdat-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ bb991a08a1bd2406ac35339e53adddec”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-histdat-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@a3f6637bbcbb7e7b811c5a23c18f99bd4582f640fd071c918acc5479abf2c252”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ©§o hEJ4Ç hFˆubh)”}”(hŒr-ggedit”h#Œ0.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-ggedit-0.3.1-r42hc72bb7e_2.tar.bz2”h+Œ 9dd99e345ab09848daf05e1f57415369”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggedit-0.3.1-r42hc72bb7e_2.tar.bz2”h0Œ@d3b80763e3598fd866ec346811518c27b8a21037b4e808c3838c9c5af4ec10c9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colourpicker >=0.2”Œr-dplyr >=1.0.0”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-miniui”Œr-plyr”Œr-purrr”Œr-rlang”Œr-rstudioapi”Œr-scales”Œr-shiny”Œ
r-shinyace”Œ	r-shinybs”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒw[ÿPhEJ:Ô hFˆubh)”}”(hŒrb-jekyll-optional-front-matter”h#Œ0.3.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ8rb-jekyll-optional-front-matter-0.3.0-hc42de5b_0.tar.bz2”h+Œ 6be2abba88a6d92b63cdee3487928de1”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-optional-front-matter-0.3.0-hc42de5b_0.tar.bz2”h0Œ@22f0c65a27439998a15cd1ee205213155bde23563a905b1512b8f69d99902e71”h2NhNh3Œrb-jekyll >=3.0,<4.0”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Z—PhEMÍ"hFˆubh)”}”(hŒfeatherhelper”h#Œ0.0.5”h%Œpy_0”h'K hhh(h)hŒ featherhelper-0.0.5-py_0.tar.bz2”h+Œ bd601c88cea02b25ab715dc38d73c852”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/featherhelper-0.0.5-py_0.tar.bz2”h0Œ@ba80b0e3ab940fc0543e35450e850a49187e80396c55511217f0d2136733b7c8”h2NhNh3(Œfeather-format >=0.4.0”Œnumpy”Œpandas”Œpyarrow >=0.11.1”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Ñ™G®hEMghFˆubh)”}”(hŒlibsm-devel-cos7-ppc64le”h#Œ1.2.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libsm-devel-cos7-ppc64le-1.2.2-h9b0a68f_105.tar.bz2”h+Œ 2a1131a10f592666baf57f838c702314”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-ppc64le-1.2.2-h9b0a68f_105.tar.bz2”h0Œ@6cb37b2c7336aa46c46a11d672b65f473eb6692398d0d992b73e908f9c140aec”h2NhNh3Œ libsm-cos7-ppc64le ==1.2.2 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Š§¿l‹hEML#hFˆubh)”}”(hŒalchemical-analysis”h#Œ1.0.2”h%Œpy_1”h'Khhh(h)hŒ&alchemical-analysis-1.0.2-py_1.tar.bz2”h+Œ 062cb130de5cc6aede8821b96dd7efd7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/alchemical-analysis-1.0.2-py_1.tar.bz2”h0Œ@ceb270d15ee6c702aaf9fe922533df66cca44310716e15334a43879b8a503687”h2NhNh3(Œ
matplotlib”Œnumpy”Œpymbar”Œ	python <3”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGA×u˜xå`hEMåhFˆubh)”}”(hŒmesa-libegl-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_101”h'Kehhh(h)hŒ4mesa-libegl-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h+Œ d67b4d4550e89107bf1e8edc51c43e1f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h0Œ@c8712152ea52905474c236542b5fc569ba693453b9fec58d6204abd3053ceca5”h2NhNh3Œmesa-libgbm-cos7-aarch64 18.3.4”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å‰šŸ¾hEJ]­ hFˆubh)”}”(hŒjupyterlab-system-monitor”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4jupyterlab-system-monitor-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 32a9d7ceded5ef249611698adcebc73a”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-system-monitor-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@72ce5a2a17df1568076ed2b7ed89a98242d582fc8ac23549d9d13afe428a90f8”h2NhNh3(Œ%jupyter-resource-usage >=0.5.0,<0.6.0”Œjupyterlab >=3.0.0rc10,==3.*”Œ jupyterlab-topbar >=0.6.0,<0.7.0”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØw¿s"ÑhEM3vhFˆubh)”}”(hŒlibxau-devel-cos7-ppc64le”h#Œ1.0.8”h%Œha826a6f_103”h'Kghhh(h)hŒ4libxau-devel-cos7-ppc64le-1.0.8-ha826a6f_103.tar.bz2”h+Œ 6653deeeda0f82e7a302b7a561874f6c”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos7-ppc64le-1.0.8-ha826a6f_103.tar.bz2”h0Œ@3a79f9c7dc8a8062d0d4303a75ea3c593daef331588887a9007eb179ad76e6eb”h2NhNh3Œ!libxau-cos7-ppc64le ==1.0.8 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0!À ÅhEM1&hFˆubh)”}”(hŒi-pi”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒi-pi-2.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 64626e789b743ce5cd80dd73f380bb08”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/i-pi-2.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@059804f2dc7f92177c39e69d0d8f3f8d970a8edcb0f7a0b33bad564b6f48a3c2”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ]Ù’¡%hEJòK hFˆubh)”}”(hŒ
ptyprocess”h#Œ0.7.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ%ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2”h+Œ 359eeb6536da0e687af562ed265ec263”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2”h0Œ@fb31e006a25eb2e18f3440eb8d17be44c8ccfae559499199f73584566d0a444a”h2NhNh3Œpython”…”h9h?h@ŒISC”hDGA×ûr¦l‹hEM¢@hFˆubh)”}”(hŒr-lmds”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-lmds-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 3d828428d76d7129b14a887839d84627”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmds-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@96212028a9e4b307bd1b6f5cbcc3b5961363cdfaeabd79112c1deea8dc95cd0c”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dynutils >=1.0.3”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+ŸòpQìhEJ]× hFˆubh)”}”(hŒgtkmm24-devel-cos7-aarch64”h#Œ2.24.5”h%Œha826a6f_103”h'Kghhh(h)hŒ6gtkmm24-devel-cos7-aarch64-2.24.5-ha826a6f_103.tar.bz2”h+Œ 84b58af8f74d556291441a9bf73c9337”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos7-aarch64-2.24.5-ha826a6f_103.tar.bz2”h0Œ@7e5bca321b85cf1f8c129f4b63b37879f3b6e1fa0dfbb926c08ac7b9e6f39d8e”h2NhNh3Œ#gtkmm24-cos7-aarch64 ==2.24.5 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{N[ohEJ hFˆubh)”}”(hŒr-scrt”h#Œ1.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-scrt-1.3.1-r42hc72bb7e_2.tar.bz2”h+Œ 78b3de4b48866b661f52b6bb4d65eebb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-scrt-1.3.1-r42hc72bb7e_2.tar.bz2”h0Œ@c6aa660d35fcd071dfea33e65baa26721b103f7a01b69057c6a5e4a704726570”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑLy\)hEJ¢B hFˆubh)”}”(hŒsygma”h#Œ1.1.1”h%Œpy_0”h'K hhh(h)hŒsygma-1.1.1-py_0.tar.bz2”h+Œ 83d99477bdedfd0e68f0ea9d9ea9b0e9”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/sygma-1.1.1-py_0.tar.bz2”h0Œ@3b96b7e99a5b322bfbfeef9aba1aaf13839cd7a6327cacd8601da2b12d2bd9da”h2NhNh3Œpython”Œrdkit”Œ
setuptools”‡”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×cÄI¦hEM7|hFˆubh)”}”(hŒpyrender”h#Œ0.1.45”h%Œpyh8a188c0_3”h'Khhh(h)hŒ$pyrender-0.1.45-pyh8a188c0_3.tar.bz2”h+Œ 54eeab066e4b838e18000382d59512f6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyrender-0.1.45-pyh8a188c0_3.tar.bz2”h0Œ@90d78f81d76b28fc63ee2e99c52dd7692afec31c4d8bb0a0d23b0bf36ea0a875”h2NhNh3(Œdataclasses”Œfreetype-py”Œimageio”Œnetworkx”Œnumpy”Œpillow”Œpyglet >=1.4.10”Œpyopengl >=3.1.0”Œpython >=3.6”Œscipy”Œsix”Œtrimesh”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¯I‰7hEJµ&hFˆubh)”}”(hŒrobotframework-interpreter”h#Œ0.7.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5robotframework-interpreter-0.7.6-pyhd8ed1ab_0.tar.bz2”h+Œ 63f22b8f6d6b39c9d6fc58d26828aaa1”h.Œchttps://conda.anaconda.org/conda-forge/noarch/robotframework-interpreter-0.7.6-pyhd8ed1ab_0.tar.bz2”h0Œ@c9f0a7c8a2eed1623feca99b4c3551ab67992f667e308b95d25cc8d9e4da3072”h2NhNh3(Œ
ipywidgets”Œlunr”Œpillow”Œpygments”Œpython >=3.6,<3.10”Œrobotframework >=3.2,<5”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ\à7ß;hEMÝ“hFˆubh)”}”(hŒlibglvnd-glx-cos7-ppc64le”h#Œ1.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libglvnd-glx-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h+Œ 5325453eb0ef5eb492560b762dff47b6”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libglvnd-glx-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h0Œ@4fc016596c7fb9bb5f07e9350d0b09d1551a80f069640b9f41d0a689a1e98323”h2NhNh3Œ$libglvnd-cos7-ppc64le ==1.0.1 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|çÄ‹DhEJLÉ hFˆubh)”}”(hŒ
r-rcdklibs”h#Œ2.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-rcdklibs-2.8-r41hc72bb7e_0.tar.bz2”h+Œ 07ef287a312c7877927357bf51b2821f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rcdklibs-2.8-r41hc72bb7e_0.tar.bz2”h0Œ@220a0306e47d0a071ac55da8dc2359230066d9e5fa556ad2be09107687e00cf1”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava >=0.9_8”†”h9hºh@ŒLGPL”hBŒLGPL”hDGAØÌHãA©ühEJŒËehFˆubh)”}”(hŒr-dmwr”h#Œ0.4.1”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ&r-dmwr-0.4.1-r351h6115d3f_1001.tar.bz2”h+Œ 96ec7e44d8be332a968cae9a96188d2c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dmwr-0.4.1-r351h6115d3f_1001.tar.bz2”h0Œ@d81a76c591635d2212d01a339a4cb15d56fea613a18a1289b0909a4dc7ca63a6”h2NhNh3(Œr-abind >=1.1_0”Œr-base >=3.5.1,<3.5.2.0a0”Œr-class >=7.3_1”Œr-lattice >=0.18_3”Œr-quantmod >=0.3_8”Œr-rocr >=1.0”Œr-rpart >=3.1_46”Œr-xts >=0.6_7”Œr-zoo >=1.6_4”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖþBšvffhEJð62 hFˆubh)”}”(hŒpiecewise-regression”h#Œ1.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/piecewise-regression-1.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ d0d17e6ebea60d1e97bc2e68d00795fe”h.Œ]https://conda.anaconda.org/conda-forge/noarch/piecewise-regression-1.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c9306003bdc25d0b9e3f431253f7781dd0c79c6fb333942530a349c2262249fc”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œscipy”Œstatsmodels”t”h9h?h@ŒMIT”hBŒMIT”hDGAØeÓ_ß;hEM›VhFˆubh)”}”(hŒr-survminer”h#Œ0.4.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-survminer-0.4.9-r41hc72bb7e_0.tar.bz2”h+Œ 5c7320ba92a88e092abb524c914c30cf”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-survminer-0.4.9-r41hc72bb7e_0.tar.bz2”h0Œ@5cfdfef9a6ed238eaf6523e7f7387d51ecb4ba9723b8c1fccd60a0ee856143f4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr”Œ	r-ggplot2”Œr-ggpubr >=0.1.6”Œr-ggtext >=0.1.0”Œr-gridextra >=2.0”Œ
r-magrittr”Œ	r-maxstat”Œr-purrr”Œr-rlang”Œr-scales”Œ
r-survival”Œ
r-survmisc”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ,0¸J¬hEJñÞ/ hFˆubh)”}”(hŒ	r-modeest”h#Œ2.4.0”h%Œr42hd8ed1ab_2”h'Khhh(h)hŒ%r-modeest-2.4.0-r42hd8ed1ab_2.tar.bz2”h+Œ f2c66263cacba4b5f97d8e9c1b19d7ee”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-modeest-2.4.0-r42hd8ed1ab_2.tar.bz2”h0Œ@56455d867ac91d3aff831a10c4bc88a32a54b1cd59688a548e58193d9c110bdc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-fbasics”Œr-stable”Œr-stabledist”Œr-statip >=0.2.3”t”h9hºh@ŒGPL-3”hBŒGPL-3”hDGAØÓ:ô³t¼hEJ†€ hFˆubh)”}”(hŒ	r-waterml”h#Œ1.9.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-waterml-1.9.8-r41hc72bb7e_1.tar.bz2”h+Œ 2130a42e0a52a140aae97e9c39e091ea”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-waterml-1.9.8-r41hc72bb7e_1.tar.bz2”h0Œ@f33c1feda25d6eea3e4aee02e31fc73700ea3e6a44b11e6b8ee6cc534353ba09”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr”Œr-xml”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑËÝ1%hEJ(0 hFˆubh)”}”(hŒmonty”h#Œ	2022.3.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$monty-2022.3.12-pyhd8ed1ab_0.tar.bz2”h+Œ 6bb91acd196e42a030013ed356b79700”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/monty-2022.3.12-pyhd8ed1ab_0.tar.bz2”h0Œ@f7d519535c86fc7a123ac827be4e3ea0031bf3eea813190a7d23b430ee494658”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ‹:«Ÿ;dhEM}˜hFˆubh)”}”(hŒr-jsonld”h#Œ2.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-jsonld-2.2-r40hc72bb7e_0.tar.bz2”h+Œ 1452792ce3f808b4be6ada34ae7a3fd4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jsonld-2.2-r40hc72bb7e_0.tar.bz2”h0Œ@44aacbec4c8af5fb4f0dd4079b2a78440222adfa6cf7f4ae3ec97957aca19c67”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-curl >=2.7”Œ
r-jsonlite”Œr-v8”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ*ì`“¥ãhEJzA hFˆubh)”}”(hŒopenff-fragmenter-base”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1openff-fragmenter-base-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 92e45dd198e80b0f1643f06ee8fdf09b”h.Œ_https://conda.anaconda.org/conda-forge/noarch/openff-fragmenter-base-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@63a694977ed1fc9cb0fc455930c43eb960ce345b0fa4a3135ec54905f3fb0d11”h2NhNh3(Œjinja2”Œnetworkx”Œnumpy”Œopenff-toolkit-base >=0.11.0”Œpydantic <2.0.0a0”Œpython >=3.8”Œtyping-extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÄýýOßhEMó…hFˆubh)”}”(hŒopenmmforcefields”h#Œ0.11.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-openmmforcefields-0.11.2-pyhd8ed1ab_1.tar.bz2”h+Œ 0cbd6bfa85e4a93a63a2b03062da2ee5”h.Œ[https://conda.anaconda.org/conda-forge/noarch/openmmforcefields-0.11.2-pyhd8ed1ab_1.tar.bz2”h0Œ@058c432ece516a7260c9b24ae3ca18211b208f2f103ad9692dbc24808b8574c4”h2NhNh3(Œambertools >=20.0”Œlxml”Œnetworkx”Œopenff-toolkit >=0.9.0”Œopenff-units >=0.1.8”Œopenmm >=7.6.0”Œpython >=3.8”Œpyyaml”Œtinydb”Œ
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repoze.lru”t”h9h?h@ŒGPL-3.0”hDGA×)hEJÂ$ hFˆubh)”}”(hŒcluster_tools”h#Œ0.4.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(cluster_tools-0.4.5-pyhd8ed1ab_0.tar.bz2”h+Œ 25eceedf7af5bb8eb79724f16f7d0292”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/cluster_tools-0.4.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d8331ff5e7b77ede36d578525a38ac2e7121a4c406ae585944fbee4e71f95d42”h2NhNh3(Œluigi”Œpybdv”Œpython >=3.6”Œ
python-elf”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÐ×Û¶FhEJbJ hFˆubh)”}”(hŒr-rcarb”h#Œ0.1.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-rcarb-0.1.6-r42hc72bb7e_1.tar.bz2”h+Œ 806d9dc7e902249c7ef7e46935e6cc10”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rcarb-0.1.6-r42hc72bb7e_1.tar.bz2”h0Œ@c238affa2a7aa46376a332301e6ab9c286c23b70661b14a3cc7f06223c516d49”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-interp >=1.1”Œr-matrixstats >=0.62.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑŽÍ®5?hEJûî hFˆubh)”}”(hŒ	yt-napari”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$yt-napari-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2e1530bb42e4dad47fb4d9766c88049e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/yt-napari-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a7c7630909c3f4dff54efa8f40e0206a6d551389393b84aabeca7ba6ee782c1c”h2NhNh3(Œmagicgui >=0.4.0”Œnapari >=0.4.13”Œnpe2”Œnumpy”Œpydantic”Œpython >=3.7”Œ
yt >=4.0.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØªÕñ­p¤hEM@qhFˆubh)”}”(hŒ	pymatting”h#Œ1.1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pymatting-1.1.8-pyhd8ed1ab_0.tar.bz2”h+Œ 1508ba8a98b5b44e91758a81e1082856”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pymatting-1.1.8-pyhd8ed1ab_0.tar.bz2”h0Œ@5f6de9f053ed25e57d32612bc8b9b80f3842f8d0e20ec1ced9bc978240f6d04d”h2NhNh3(Œnumba !=0.49.0”Œnumpy >=1.16.0”Œpillow >=5.2.0”Œpython >=3.0”Œscipy >=1.1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ®ÑÉ§®hEM&“hFˆubh)”}”(hŒblack”h#Œ22.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!black-22.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ f8fb78b07826bbf84deda3cf128cfbe2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/black-22.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2dcd6c10844c8c62060270abd6dcca518c6bf6fccf344fd0ccae0e2920772e0f”h2NhNh3(Œclick >=8.0.0”Œdataclasses >=0.6”Œmypy_extensions >=0.4.3”Œpathspec >=0.9,<1”Œplatformdirs >=2”Œpython >=3.6”Œtomli >=1.1.0”Œtyped-ast >=1.4.2”Œ#typing_extensions >=3.10,!=3.10.0.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ®Á¨º¬hEJlé hFˆubh)”}”(hŒperl-tie-cacher”h#Œ0.09”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ-perl-tie-cacher-0.09-pl5321hd8ed1ab_0.tar.bz2”h+Œ 0f2e37a7285e3898ac8ee3a79aef3496”h.Œ[https://conda.anaconda.org/conda-forge/noarch/perl-tie-cacher-0.09-pl5321hd8ed1ab_0.tar.bz2”h0Œ@dbb09afe68fdca120bfdcf47a2c8696158929a17094a14af8f04b533dc7229fe”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-test-simple”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÐ¬gÇ;dhEMehFˆubh)”}”(hŒr-wikidataqueryservicer”h#Œ1.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ3r-wikidataqueryservicer-1.0.0-r40hc72bb7e_0.tar.bz2”h+Œ 5a7249b4ff5a7e9526b9bad695385d82”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-wikidataqueryservicer-1.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@b01306a69f29b1001c7948dee93ea99f42cb766bf5e3086e2556f32b46ed6c1d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=1.0.0”Œr-httr >=1.2.1”Œr-jsonlite >=1.2”Œr-purrr >=0.3.4”Œr-ratelimitr >=0.4.1”Œr-readr >=1.3.1”Œr-rex >=1.2.0”Œr-wikipedir >=1.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+?ÜÌÍhEM'}hFˆubh)”}”(hŒvobject”h#Œ0.9.6.1”h%Œpy_0”h'K hhh(h)hŒvobject-0.9.6.1-py_0.tar.bz2”h+Œ 51a5fc3eb67309f33e32d0de0633317e”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/vobject-0.9.6.1-py_0.tar.bz2”h0Œ@193e2143b28d58fee04ae0c83c6068542844c5123440ed1aaa48cf6c638695a4”h2NhNh3Œpython”Œpython-dateutil >=2.4.0”†”h9h?h@ŒApache”hBŒApache”hDGAÖÓàB^5hEM)œhFˆubh)”}”(hŒexpat-cos6-x86_64”h#Œ2.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-expat-cos6-x86_64-2.0.1-h9b0a68f_1105.tar.bz2”h+Œ f483e4d3b860ac77389a73949214b416”h.Œ[https://conda.anaconda.org/conda-forge/noarch/expat-cos6-x86_64-2.0.1-h9b0a68f_1105.tar.bz2”h0Œ@25499433cb2c06f812bd4b3676cef8baad937c1451745d5b0cf48c2aa5523365”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@X÷ hEJ¾N hFˆubh)”}”(hŒ
r-pheatmap”h#Œ1.0.12”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-pheatmap-1.0.12-r36h6115d3f_1.tar.bz2”h+Œ 530abfd3d1e9c8958787a1809a4d9bfb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pheatmap-1.0.12-r36h6115d3f_1.tar.bz2”h0Œ@370063e9624ea99a30c6bd67670560feb3d9422e02653557a5ebf0b5c4bd4e0d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-gtable”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Lg¯áÛ#hEJåa hFˆubh)”}”(hŒoletools”h#Œ0.60”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"oletools-0.60-pyhd8ed1ab_1.tar.bz2”h+Œ f5beea85c945bdc68f490749800ee49b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/oletools-0.60-pyhd8ed1ab_1.tar.bz2”h0Œ@f407b05817bfb7906bc651d39b95d8c482b303777f94b94952f84989682d273d”h2NhNh3(Œ
colorclass”Œeasygui”Œmsoffcrypto-tool”Œolefile”Œpcodedmp”Œ	pyparsing”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~!%VÙhEJ*µ hFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œha826a6f_103”h'Kghhh(h)hŒ-libx11-cos6-x86_64-1.6.4-ha826a6f_103.tar.bz2”h+Œ 03ab9fa4095aa5d36fa4a8fc551c8cb8”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-ha826a6f_103.tar.bz2”h0Œ@9257a58242973db3fb21d2ceb4886776c68615ad31460b2d00b15443332b4180”h2NhNh3Œ'libx11-common-cos6-x86_64 ==1.6.4 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0éÆ§ðhEJº… hFˆubh)”}”(hŒtravis-encrypt”h#Œ0.7.2”h%Œpyh9f0ad1d_1002”h'Mêhhh(h)hŒ,travis-encrypt-0.7.2-pyh9f0ad1d_1002.tar.bz2”h+Œ 91c4f655ac52ee0f98b45c8b9ed12007”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/travis-encrypt-0.7.2-pyh9f0ad1d_1002.tar.bz2”h0Œ@92b530e27e337967ddf199945d7805a088e3bb5c216c8a03c47387f481cd33ed”h2NhNh3(Œclick >=6.6”Œcryptography >=1.7.1”Œpython”Œpyyaml >=3.12”Œrequests >=2.12.5”t”h9h?h@ŒGPL-3.0”hBŒGPL3”hDGA×á—³£dZhEMÅVhFˆubh)”}”(hŒ	genespeak”h#Œ0.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$genespeak-0.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ 23b0e69a88309cb975a32d575ec98b40”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/genespeak-0.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@9e0160ad9b905acf202e341e8c79e4a582230e975e006f3bbc8fd64189bffb7e”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØz»Í¶FhEM3hFˆubh)”}”(hŒharfbuzz-cos7-x86_64”h#Œ1.7.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ0harfbuzz-cos7-x86_64-1.7.5-ha826a6f_1103.tar.bz2”h+Œ 1f6f8d5177b6949470b4b7303b59b52e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-x86_64-1.7.5-ha826a6f_1103.tar.bz2”h0Œ@b268ec0e328077e367a7dfd54270719e9f5a0bc8222a41754ffbe6b77e08b7a6”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0N‘hhEJâÉ hFˆubh)”}”(hŒbeetlesafari”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'beetlesafari-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ e664645c6fccee28f82538ae0996fc88”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/beetlesafari-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@685b0db477c8b554dd466bcef4fa1ba46bc674f224d10934714f410d92673ae8”h2NhNh3(Œ
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Apache 2.0”hDGA×‘¢œjhEMÆAhFˆubh)”}”(hŒuritemplate”h#Œ4.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&uritemplate-4.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0c4beeff1cbaba9b1a494c6b3dfc5bcc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/uritemplate-4.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2c78ed590f77502544adc6df8c2338cd8b59ca98075b3562855f7837f528aa40”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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ruby >=2.5”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Ç¹\±ÊÁhEMËrhFˆubh)”}”(hŒr-upsetr”h#Œ1.4.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-upsetr-1.4.0-r35h6115d3f_0.tar.bz2”h+Œ 07c5dd5a6942a99329e60b1b8f246b6c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-upsetr-1.4.0-r35h6115d3f_0.tar.bz2”h0Œ@09b9d99311571d5b8b197628a93d2753a1cf068fe48323eda40dd7a928e17b6d”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGA×BCªMÓhEJVƒA hFˆubh)”}”(hŒdynamicisttoolkit”h#Œ0.5.3”h%Œpyh9f0ad1d_3”h'Khhh(h)hŒ,dynamicisttoolkit-0.5.3-pyh9f0ad1d_3.tar.bz2”h+Œ 2dfe31ee214b1855b53df74c095cf817”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/dynamicisttoolkit-0.5.3-pyh9f0ad1d_3.tar.bz2”h0Œ@5778461ecc41a1fbf61c18d2eff71ca213ba2679af19c4ba4f4935ab32875ffe”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython”Œscipy”t”h9h?h@Œ	Unlicense”hDGA×ßÖ·KÇhEM„}hFˆubh)”}”(hŒr-tilegramsr”h#Œ0.2.0”h%Œr41hc72bb7e_4”h'Khhh(h)hŒ(r-tilegramsr-0.2.0-r41hc72bb7e_4.tar.bz2”h+Œ a6fadbe1b7d9dbdd15aa9351605ada0f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tilegramsr-0.2.0-r41hc72bb7e_4.tar.bz2”h0Œ@aab72ed5e55e42774a85aa98f5294cbd37d44971fd09487fecc8e9521a33cb99”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-sf”Œr-sp”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+é©µãThEJ‹[ hFˆubh)”}”(hŒlibsepol-devel-cos6-x86_64”h#Œ2.0.41”h%Œhdf0574f_1102”h'MNhhh(h)hŒ7libsepol-devel-cos6-x86_64-2.0.41-hdf0574f_1102.tar.bz2”h+Œ e38e7459a0447ca19dd42d4b0a6e1a18”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos6-x86_64-2.0.41-hdf0574f_1102.tar.bz2”h0Œ@88f2741b86bdc5ac972671155ff6e4a3a84e1c75117ac07a2d213f1e25783bfa”h2NhNh3Œ$libsepol-cos6-x86_64 ==2.0.41 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å+œÏ\)hEM—hFˆubh)”}”(hŒterrainbento”h#Œ2.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'terrainbento-2.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ d9cfec45672feba31d2ce1e1b58cddbc”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/terrainbento-2.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@06d76394ef4b58c4ef62dd41fd45a9ee7af71de7bb5b5d82b1a8c692bd9f0577”h2NhNh3(Œdask”Œ	holoviews”Œjupyter”Œlandlab >=2.0.1”Œnumpy”Œpandas”Œpython”Œscipy”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGA×®YSt“hEJÃj hFˆubh)”}”(hŒr-repo”h#Œ2.1.5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-repo-2.1.5-r42hc72bb7e_2.tar.bz2”h+Œ aa409f8cbf83c8f11ea8d210ca4b5861”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-repo-2.1.5-r42hc72bb7e_2.tar.bz2”h0Œ@84ad202b1c738201acf0c5ae424bb43b210bb5e66bdc89d7dda0865333e6d465”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ…F{hEJ( hFˆubh)”}”(hŒpennylane-cirq”h#Œ0.24.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pennylane-cirq-0.24.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1f348c5666c9334949be0d79b9ef5ee3”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pennylane-cirq-0.24.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c193cb22fe3404e1baf59ce8e4a45ee60094217ab5a17878848c1f7a65e48648”h2NhNh3(Œcirq-core >=0.10”Œcirq-pasqal >=0.10”Œpennylane >=0.17”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¬f ¯+hEMThFˆubh)”}”(hŒlibdrm-cos6-x86_64”h#Œ2.4.65”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libdrm-cos6-x86_64-2.4.65-ha826a6f_1103.tar.bz2”h+Œ 1cac578041a740c2624aceda329e1aaa”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos6-x86_64-2.4.65-ha826a6f_1103.tar.bz2”h0Œ@3f31d69abbb486fbc2dcb4fb952e3890161aeeca60c4676ae0e512a6d2848695”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0›hA‰hEJ¼ hFˆubh)”}”(hŒpkgconfig-cos7-x86_64”h#Œ0.27.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2pkgconfig-cos7-x86_64-0.27.1-h9b0a68f_1105.tar.bz2”h+Œ 50954ac8ba2af7adfe1842d2f68c4f09”h.Œ`https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-x86_64-0.27.1-h9b0a68f_1105.tar.bz2”h0Œ@f3db8f206224605b330a5aca591f9f350482ca690303de4854db3b98d1810581”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@eI»33hEM[ÏhFˆubh)”}”(hŒplatelet-unet-watershed”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2platelet-unet-watershed-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ b448477f3ee15b5b1f649d2d50b0d69d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/platelet-unet-watershed-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@fa1d73b1578a29aa997eb192807dfab46f9ffff09e3675d2235f560c6cb67cd6”h2NhNh3(Œmagicgui >=0.2.11”Œnapari >=0.4.11”Œnapari-plugin-engine >=0.1.4”Œnumba >=0.50”Œnumpy”Œpython >=3.7”Œpytorch”Œscikit-image”Œscipy”Œtoolz”Œtorchvision”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœ€r°hEJèÐ4hFˆubh)”}”(hŒmesa-khr-devel-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8mesa-khr-devel-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 9b7cebc3fea358c139ca21f21e6c526a”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@a637c0a9169aa4d598f1ee96179818ca33e8ad440908fe08ac1fa5dd6213d427”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+UƒhEM’hFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libdrm-devel-cos7-ppc64le-2.4.97-h9b0a68f_1105.tar.bz2”h+Œ 3fedc880e56a4025ee12abd5249a4259”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-ppc64le-2.4.97-h9b0a68f_1105.tar.bz2”h0Œ@64fef0307231333fbf417a8cdcb6d667bc4db8843a2682bd8c56989a88e219b9”h2NhNh3Œ+kernel-headers-cos7-ppc64le >=2.6.27 *_1105”Œ#libdrm-cos7-ppc64le ==2.4.97 *_1105”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‹¦‰7hEJö hFˆubh)”}”(hŒlibxrender-devel-cos7-aarch64”h#Œ0.9.10”h%Œhdf0574f_102”h'Kfhhh(h)hŒ9libxrender-devel-cos7-aarch64-0.9.10-hdf0574f_102.tar.bz2”h+Œ 6c1722eed109d0f28053b7170baa7505”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-aarch64-0.9.10-hdf0574f_102.tar.bz2”h0Œ@7667af91fa0836d54b9b64a1d36e438de2cf92c96642f08e524980a74fe95233”h2NhNh3Œ&libxrender-cos7-aarch64 ==0.9.10 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµÀ  hEM`-hFˆubh)”}”(hŒtryingsnake”h#Œ0.5.1”h%Œpy_0”h'K hhh(h)hŒtryingsnake-0.5.1-py_0.tar.bz2”h+Œ c3220d6ac1dd9cb2786db1562b8464af”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/tryingsnake-0.5.1-py_0.tar.bz2”h0Œ@3039761bfcd6d1b9eaa9dc5d78da5505525e864bdebb8aeea5b4f204af424f8b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Õ®ÌÍhEM94hFˆubh)”}”(hŒdjango-storages-redux”h#Œ1.3.3”h%Œpy_1”h'Khhh(h)hŒ(django-storages-redux-1.3.3-py_1.tar.bz2”h+Œ b1c605ca8afc42befb2c8071395d27a6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/django-storages-redux-1.3.3-py_1.tar.bz2”h0Œ@2986b3bedf17da7b0d06d34b2e8519d8595caf722fa3eb824f4f9f25b34eb427”h2NhNh3Œdjango >=1.8”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÏßwÞÈ´hEMÁmhFˆubh)”}”(hŒsatgen”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!satgen-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 68b5ff7c2f9dafef3050c9e0c9bf2140”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/satgen-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2be0680be2a299071bccfa5540a83616d5320729ea53cbbe736870966a30ba86”h2NhNh3(Œ	cosmolopy”Œfast-histogram”Œnumpy”Œpython >=3.7”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¤Jœ®§ðhEJÛÂ‹ hFˆubh)”}”(hŒr-startupmsg”h#Œ0.9.6”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ(r-startupmsg-0.9.6-r41hc72bb7e_3.tar.bz2”h+Œ 2ff2e0187ff4952b11dd8e31478c18b4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-startupmsg-0.9.6-r41hc72bb7e_3.tar.bz2”h0Œ@6e04278cc20839ffdf480b5f23ddf90dd14605146b08accf20bd03fcaab74166”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÑYYxÕhEMeÆhFˆubh)”}”(hŒeasygdf”h#Œ2.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"easygdf-2.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 9beea95e05117607960fb46f2f9510bc”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/easygdf-2.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@0866be3a98822622ecfb07c98c8bdcf37e0133be2ef46c6bd8fca986ddad77da”h2NhNh3Œnumpy”Œpython >=3.6”Œ
setuptools”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØg¡uj~úhEMŸnhFˆubh)”}”(hŒlitemark”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#litemark-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 788ce414960d5fcc6cf0db3fc06e61c0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/litemark-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@61c53ad36814a398d3c7abe94f7956d1a9bf49cf8c174f1dbd18b56f211d4c61”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ®y¥öÈ´hEMQhFˆubh)”}”(hŒr-assertive.sets”h#Œ0.0_3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ/r-assertive.sets-0.0_3-r42hc72bb7e_1004.tar.bz2”h+Œ 5d7f1d504d5bc23b0264d7b097e8bf31”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.sets-0.0_3-r42hc72bb7e_1004.tar.bz2”h0Œ@22d1b6e855e43e84e74bc1532b81adc1de1bb0b68b41abc359f4fd3fa0da993c”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ9á1xÕhEMhFˆubh)”}”(hŒpydicom”h#Œ2.3.1”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ"pydicom-2.3.1-pyh1a96a4e_0.tar.bz2”h+Œ 6ed5501cf5a6512caa69479353935b70”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pydicom-2.3.1-pyh1a96a4e_0.tar.bz2”h0Œ@fba3d55b761c0b700410b27db9854f05a0bb7e48d8a69a28c74eadd0e6ae2bd6”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÜë7Š^5hEJÖ	 hFˆubh)”}”(hŒ	r-cowplot”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-cowplot-1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ b0406e32bf497a55b23bfb71c892e4f8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cowplot-1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@5c2395d4c2b2c00ec1be099c39838e5efa8b85220fc4db964ac50632b0c3ddc5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >2.2.1”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑÛSøhEJÑu hFˆubh)”}”(hŒlibxt-cos7-ppc64le”h#Œ1.1.5”h%Œ
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Apache-2.0”hBŒAPACHE”hDGAØl5­éyhEM_EhFˆubh)”}”(hŒ	r-stapler”h#Œ0.7.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-stapler-0.7.1-r36h6115d3f_0.tar.bz2”h+Œ 3d812e25de197ab44476f3487b340454”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stapler-0.7.1-r36h6115d3f_0.tar.bz2”h0Œ@adcaaafe88105c0871a6a41981f1e27cf879ad399dbce98cbefeebf9dc543081”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-matrixstats”Œr-rnifti”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×†
Rž{hEJ:î hFˆubh)”}”(hŒr-operator.tools”h#Œ1.6.3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ/r-operator.tools-1.6.3-r40h6115d3f_1003.tar.bz2”h+Œ 438f80949df1212b0c22404762630fd8”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-operator.tools-1.6.3-r40h6115d3f_1003.tar.bz2”h0Œ@f5f6b6897d608f94ad9d92aec870bd5c8ad6ab2b287b31fccf635b2bcb4d8ca5”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«è ÀÄœhEMÂþhFˆubh)”}”(hŒwms-tile-get”h#Œ0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%wms-tile-get-0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 52ddc05a44da9e40945e7b2aaf8d0e5a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/wms-tile-get-0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@26aba9c960effddda7b6d709cd90602ebd5ffd6869e9923b9f6327a297b7b631”h2NhNh3(Œ
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setuptools”†”h9h?h@ŒISC”hDGAØlë[\jhEM]ËhFˆubh)”}”(hŒ
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r-jsonlite”Œ	r-memoise”Œr-purrr”Œr-rlang”Œ	r-stringi”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÌ?“]¸hEJŸ& hFˆubh)”}”(hŒglib2-cos7-ppc64le”h#Œ2.56.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/glib2-cos7-ppc64le-2.56.1-h9b0a68f_1105.tar.bz2”h+Œ 1575a594ab1280922e1a031781e2cb02”h.Œ]https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-ppc64le-2.56.1-h9b0a68f_1105.tar.bz2”h0Œ@92c559d2e1ae0dcc217b82cb608b3bf53245ffa2b423335819d498ba8cf7f98c”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@ˆÙ&éhEJNª. hFˆubh)”}”(hŒlibxi-cos7-ppc64le”h#Œ1.7.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.libxi-cos7-ppc64le-1.7.9-h9b0a68f_1105.tar.bz2”h+Œ d88449cdd78a1fff643e66f6b09f40b6”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-ppc64le-1.7.9-h9b0a68f_1105.tar.bz2”h0Œ@5d79a3d7b937844d5cc7d2ce711706368b4b3ac06b53ad134c3e282d0fc529c8”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@½ÒòhEMá—hFˆubh)”}”(hŒr-purrrogress”h#Œ0.1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-purrrogress-0.1.1-r42hc72bb7e_2.tar.bz2”h+Œ 6f905912f30b1faafef006839966e4ed”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-purrrogress-0.1.1-r42hc72bb7e_2.tar.bz2”h0Œ@85569b1426816c4217aee7e16cfb13bc1358bbd972fcdafed42b4fe745e95ecf”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-glue”Œr-hms”Œ	r-pkgcond”Œr-purrr”Œr-r6”Œr-rlang”Œr-testextra”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ00ØbNhEJ±< hFˆubh)”}”(hŒr-slippymath”h#Œ0.3.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ(r-slippymath-0.3.1-r35h6115d3f_0.tar.bz2”h+Œ eff9ae7f95898fd83ecb1f4f976eb78f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-slippymath-0.3.1-r35h6115d3f_0.tar.bz2”h0Œ@7d8e0cf07621d6bbed7b34a1cc5b051520ef4f1a40008f87dd94ece4a6836d36”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-png”Œr-purrr”Œr-raster”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Œf9[×
hEJÿÞ" hFˆubh)”}”(hŒxrviz”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒxrviz-0.1.4-py_0.tar.bz2”h+Œ 42132617d67ace3c382e7df0c0e01be0”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/xrviz-0.1.4-py_0.tar.bz2”h0Œ@2feb74f16bf80460a7fba6231f2027f02d48dfeb8f4980780802a7cab4f76e0f”h2NhNh3(Œcartopy”Œ
datashader”Œ	holoviews”Œhvplot”Œmetpy”Œnetcdf4”Œpanel >=0.5.1”Œpython >=3.6”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×zgå]`BhEJíÅš hFˆubh)”}”(hŒratelimiter”h#Œ1.2.0”h%Œpy_1002”h'Mêhhh(h)hŒ!ratelimiter-1.2.0-py_1002.tar.bz2”h+Œ a3326f1950c9a8e52a4b5817ba607caa”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ratelimiter-1.2.0-py_1002.tar.bz2”h0Œ@7e2b11143013756d8b444a1fbd16580312e409ea3211a8124ec53af98887c4dc”h2NhNh3Œpython >=3,<3.11”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×áh¿Œ¼jhEMˆ.hFˆubh)”}”(hŒr-tensor”h#Œ1.5”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ%r-tensor-1.5-r36h6115d3f_1003.tar.bz2”h+Œ 8c27064e46c3d292016369fdb393bb3c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tensor-1.5-r36h6115d3f_1003.tar.bz2”h0Œ@1de36b21762c574cc4050a888505cf795f331af314fd7be9dc1f1d0437ef948c”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«Ô\?;dhEM¬xhFˆubh)”}”(hŒr-mlogit”h#Œ1.1_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-mlogit-1.1_1-r41hc72bb7e_1.tar.bz2”h+Œ 5ed715b474c1f54d84abb79d5883ae1a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mlogit-1.1_1-r41hc72bb7e_1.tar.bz2”h0Œ@08188654b86570f297f538f31052ddb49ec1f0fd6a43c5c0ad632150a470e8c4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dfidx”Œ	r-formula”Œr-lmtest”Œr-mass”Œr-rdpack”Œ	r-statmod”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑZ#£ohEJÕ hFˆubh)”}”(hŒutide”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ utide-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 47c3f042b1fc9d47e8f3dad5af910a72”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/utide-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fc35c7b890c7521fc780a7e4a4121d2f704d9a11ce18ac4eadff85fd232a0ec2”h2NhNh3Œnumpy”Œpython >=3.6”Œscipy”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØš¦bŸ¾hEJ,Y hFˆubh)”}”(hŒ
localstack”h#Œ0.10.3”h%Œpy_0”h'K hhh(h)hŒlocalstack-0.10.3-py_0.tar.bz2”h+Œ 081c029a02ad0f82a5304827e4a961a1”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/localstack-0.10.3-py_0.tar.bz2”h0Œ@a9e16968415cde977bdfa52afe2e52d27aa891c77abe7af0580838d87abcd574”h2NhNh3(Œboto3”Œdocopt”Œlocalstack-client”Œlocalstack-ext”Œpython”Œsix”Œsubprocess32”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×`8£33hEJDx hFˆubh)”}”(hŒr-bazar”h#Œ1.0.11”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-bazar-1.0.11-r35h6115d3f_0.tar.bz2”h+Œ ad799deda4e8bd0a3ae41786e5a64e36”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bazar-1.0.11-r35h6115d3f_0.tar.bz2”h0Œ@f69032b2697c8e707e3b5643d487b2509e79a91621b0f16e74ee3b08725d9f32”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-kimisc”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×a BtýôhEJýû hFˆubh)”}”(hŒlibdrm-cos6-x86_64”h#Œ2.4.65”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libdrm-cos6-x86_64-2.4.65-h9b0a68f_105.tar.bz2”h+Œ 06113062bd413e0bd455dd836407984f”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libdrm-cos6-x86_64-2.4.65-h9b0a68f_105.tar.bz2”h0Œ@296fcdbfa7c449b02d69ded69626f4265e91b964e0118cbb7438e878c642c7c1”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@U†_+hEJ¹ hFˆubh)”}”(hŒlibxxf86vm-devel-cos6-x86_64”h#Œ1.1.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7libxxf86vm-devel-cos6-x86_64-1.1.3-hdf0574f_102.tar.bz2”h+Œ c021c680890611daa6e2cb9775168242”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos6-x86_64-1.1.3-hdf0574f_102.tar.bz2”h0Œ@811317974ffac9f3975ee83729f1feb87fc704138493e005605c587149eb0020”h2NhNh3Œ$libxxf86vm-cos6-x86_64 ==1.1.3 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+¾ï;dhEMT-hFˆubh)”}”(hŒr-ic10trainingdata”h#Œ1.3.1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ1r-ic10trainingdata-1.3.1-r40hc72bb7e_1002.tar.bz2”h+Œ a90470ffaeb333f6c7e1dc92dab90e4d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-ic10trainingdata-1.3.1-r40hc72bb7e_1002.tar.bz2”h0Œ@5b12759120d3e04b2a4bf3a13a3be51b05d31a90b7c7f39cab0d255479fb1a9f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+#VpƒhEJ”¥a hFˆubh)”}”(hŒr-hh”h#Œ3.1_49”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-hh-3.1_49-r41hc72bb7e_0.tar.bz2”h+Œ b311b82e7ae0d05a6d2cd96593dd279e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hh-3.1_49-r41hc72bb7e_0.tar.bz2”h0Œ@9ab48e2cc20b44baefe3d4de8b0c75511a5812a40ba3a00b33ec07e517f93bc3”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-colorspace”Œr-gridextra >=2.0.0”Œr-hmisc”Œ	r-lattice”Œr-latticeextra”Œr-leaps”Œ
r-multcomp”Œr-rcolorbrewer”Œ
r-reshape2”Œr-rmpfr >=0.6.0”Œr-shiny >=0.13.1”Œr-vcd”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ¼²RÛC–hEJK hFˆubh)”}”(hŒqmsolve”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"qmsolve-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ a6066686c3c8d2d8b33d003a2a112512”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/qmsolve-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8dfe8e4d8cec82e42556f1083bb379531250f049f5a6c0deb785ca6503b1ec1f”h2NhNh3(Œh5py”Œmatplotlib-base”Œmayavi”Œnumpy”Œprogressbar >=2.5”Œpython >=3.7”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØTwD hEMàmhFˆubh)”}”(hŒr-leafpm”h#Œ0.1.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ$r-leafpm-0.1.0-r41hc72bb7e_3.tar.bz2”h+Œ ac16b7640c21f97f3cc1159b4b33fb59”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafpm-0.1.0-r41hc72bb7e_3.tar.bz2”h0Œ@847ca3704395225d43fa236ae3651eaaf75cb69f5ccccd8ee7d265c941dbc5b0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-sf >=0.5_2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÿÀø´9hEJÃ	 hFˆubh)”}”(hŒr-umx”h#Œ4.15.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-umx-4.15.1-r41hc72bb7e_1.tar.bz2”h+Œ 1d2d8100ffcb582931850d70ecc37301”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-umx-4.15.1-r41hc72bb7e_1.tar.bz2”h0Œ@9364d33cce1d680ce1ad6613388a65883bb2d839f2656b2d118c1126d6aacf01”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-diagrammer”Œr-diagrammersvg”Œ	r-ggplot2”Œr-kableextra”Œr-knitr”Œr-lavaan”Œr-mass”Œr-matrix”Œr-mumin”Œ	r-mvtnorm”Œr-nlme”Œr-openmx >=2.19.0”Œ	r-polycor”Œr-r2html”Œr-rcurl”Œr-rsvg”Œr-scales”Œr-xtable”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÔ4Þ9‡hEJœÿO hFˆubh)”}”(hŒjavapackages-tools-cos7-ppc64le”h#Œ3.4.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ:javapackages-tools-cos7-ppc64le-3.4.1-hdf0574f_102.tar.bz2”h+Œ 49f575274084f2387356b34ad92d3288”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-ppc64le-3.4.1-hdf0574f_102.tar.bz2”h0Œ@56a32426d757d226dc05b2445c717660da657206c5f815e03e1fa14431d11231”h2NhNh3Œ.python-javapackages-cos7-ppc64le ==3.4.1 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ9ÙG®hEM.ÚhFˆubh)”}”(hŒ	ccsds_ndm”h#Œ2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"ccsds_ndm-2.2-pyhd8ed1ab_0.tar.bz2”h+Œ ed1ced54edecc41915182651fb2cba61”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ccsds_ndm-2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f560744d2d99fb3d88d05fada4659dd23ac2b59043f2c07337eb5eaae52a7588”h2NhNh3Œpython >=3.6”Œxsdata”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØAÍZn˜hEJK_ hFˆubh)”}”(hŒmlconjug”h#Œ3.4.0”h%Œpy_0”h'K hhh(h)hŒmlconjug-3.4.0-py_0.tar.bz2”h+Œ b10ce1bfc7c8efec51294d259730a248”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/mlconjug-3.4.0-py_0.tar.bz2”h0Œ@532a508cb27dc0280aa137db02ff631f4877dca23971e2e78e2362b0fbf75aed”h2NhNh3(Œclick >=6.0”Œcython”Œnumpy”Œpython”Œscikit-learn”Œscipy”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGA×1ÃØë…hEJÔ¨q hFˆubh)”}”(hŒrules”h#Œ3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒrules-3.3-pyhd8ed1ab_0.tar.bz2”h+Œ a8ac660835454036a7f34e86255a10e3”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/rules-3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@8c549be40fcc52db221f8f8d9f6be69edec4ccd20eb02c6508f9819b21fec9ce”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÛQ®£33hEMÅahFˆubh)”}”(hŒr-ggrandomforests”h#Œ2.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ-r-ggrandomforests-2.2.1-r41hc72bb7e_0.tar.bz2”h+Œ 3d42968450b058e26330d2982e73bfcb”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-ggrandomforests-2.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@20f95d00a9d2394cdc54a5924ff34c9f5324e9e68a0db1aa395acdf2d177d28d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-randomforest”Œr-randomforestsrc >=1.5.5”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÄ0:¾{hEJ¬â hFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-aarch64”h#Œ1.2.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ<libxscrnsaver-devel-cos7-aarch64-1.2.2-ha826a6f_1103.tar.bz2”h+Œ 074bf29070f04e328887b5903b161c06”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-aarch64-1.2.2-ha826a6f_1103.tar.bz2”h0Œ@dea5dae324959464f7b2d7c07f2cd8bb3162dccf6acf1b4fcc80f4a0ccbdb516”h2NhNh3Œ)libxscrnsaver-cos7-aarch64 ==1.2.2 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1tˆbNhEMñ5hFˆubh)”}”(hŒr-mlmetrics”h#Œ1.1.1”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ*r-mlmetrics-1.1.1-r35h6115d3f_1002.tar.bz2”h+Œ 4807f6b4f1793a2816df946c7595e646”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-mlmetrics-1.1.1-r35h6115d3f_1002.tar.bz2”h0Œ@efed3140795429b7aaa57b75c966da244025727bca59164be61526ddede77f93”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rocr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L!Ó§ðhEJ¹T hFˆubh)”}”(hŒlibxshmfence-devel-cos7-aarch64”h#Œ1.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ9libxshmfence-devel-cos7-aarch64-1.2-hdf0574f_1102.tar.bz2”h+Œ 1eb4be90acff50f6fc3aeb198d4c04b3”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-aarch64-1.2-hdf0574f_1102.tar.bz2”h0Œ@4a763bdf2a6e8e4c0e2ff9e5fc1f5b8edb048166e8aa3907ab42337e7bef2f8d”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´âv¸RhEM0hFˆubh)”}”(hŒipycytoscape”h#Œ1.3.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'ipycytoscape-1.3.3-pyhd8ed1ab_1.tar.bz2”h+Œ e06e117809798ba07e052b84e1475e31”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ipycytoscape-1.3.3-pyhd8ed1ab_1.tar.bz2”h0Œ@f005438f3cbec00bad44504fe7ef04f198282c284d49839c934130547949e7b2”h2NhNh3Œipywidgets >=7.6.0”Œpython >=3.7”Œspectate”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÇÍÛýãThEJ"ï. hFˆubh)”}”(hŒ
typechecks”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒtypechecks-0.1.0-py_0.tar.bz2”h+Œ bbcd732aa763882008cc86aabd37cc89”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/typechecks-0.1.0-py_0.tar.bz2”h0Œ@176aa551b74feff1a5d65dea2cbf713281ccd1ba9f73064b09bfdbc0f9da2bfa”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÖ¾¦)t9XhEM%hFˆubh)”}”(hŒmesa-libegl-devel-cos7-x86_64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ:mesa-libegl-devel-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ ecec81dae071dc3330317d73a5620cc1”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@2fe3201179e88e09bff1ba6004d6944ca976d11a41502e0d4f3b7277cf19407d”h2NhNh3Œ*mesa-khr-devel-cos7-x86_64 ==18.3.4 *_1103”Œ'mesa-libegl-cos7-x86_64 ==18.3.4 *_1103”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2“*Ÿ¾hEMÀMhFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ)r-icluster-2.1.0-r41hc72bb7e_1004.tar.bz2”h+Œ f83737b3625f3165e87a50ca2fcae48f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r41hc72bb7e_1004.tar.bz2”h0Œ@6fd08206eaa0996b2b8653a428b1eff477e091bd334aa6b576c9fac485ff459c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒaWÄ9XhEJÅ/& hFˆubh)”}”(hŒjupyter_client”h#Œ6.1.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*jupyter_client-6.1.12-pyhd8ed1ab_0.tar.bz2”h+Œ f58b38ddb9f94fa3cafea4ba2b17f93b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/jupyter_client-6.1.12-pyhd8ed1ab_0.tar.bz2”h0Œ@49f9ea95647cc890597787f52193506869c4d0023bf4a2c04e13f9ff2baebbb0”h2NhNh3(Œjupyter_core >=4.6.0”Œpython >=3.5”Œpython-dateutil >=2.1”Œ
pyzmq >=13”Œtornado >=4.1”Œ	traitlets”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØaù?¾whEJƒ; hFˆubh)”}”(hŒ
lxml-stubs”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%lxml-stubs-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 65cc73657d17014946c6c32dfa2b020d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/lxml-stubs-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@df835c98f0a66970a1af74fe6c555b0d48f7284367625a5a6aaad3e0e193dd49”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØˆ¥ž'ïžhEMRDhFˆubh)”}”(hŒr-squash”h#Œ1.0.9”h%Œr35_0”h'K hhh(h)hŒr-squash-1.0.9-r35_0.tar.bz2”h+Œ 755b29a5db860437d6a20a983847a7a6”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-squash-1.0.9-r35_0.tar.bz2”h0Œ@960ccb37b5b4d698fdaf5c53956440d3c99e36e63b4530ad15eaef53eb563aec”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA×“Æ§ðhEJ+Y hFˆubh)”}”(hŒr-parcor”h#Œ0.2_6”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ'r-parcor-0.2_6-r41hc72bb7e_1003.tar.bz2”h+Œ dd8f4c0e5c7333c5dc2792feac6dd388”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parcor-0.2_6-r41hc72bb7e_1003.tar.bz2”h0Œ@6aa60f6462eb1b80e453f338486f18fcce7d61b27af6af35584dc25b5cb5ce33”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-epi”Œ	r-genenet”Œr-glmnet”Œr-mass”Œr-ppls”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒéÿ.$ÝhEJïL hFˆubh)”}”(hŒ	r-cvtools”h#Œ0.3.2”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ(r-cvtools-0.3.2-r35h6115d3f_1002.tar.bz2”h+Œ fe8e833ccabf26c071a0c35094807ccd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cvtools-0.3.2-r35h6115d3f_1002.tar.bz2”h0Œ@7291163425a736e9eac501d02c5240262288c001f8ab2f02065ef1c8b720dd6a”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-lattice”Œr-robustbase”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L)ìIºhEJ£z hFˆubh)”}”(hŒbirdsong-recognition-dataset”h#Œ0.3.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ7birdsong-recognition-dataset-0.3.2-pyhd8ed1ab_1.tar.bz2”h+Œ a0d4c44a45647bf53c90a1b7e55fa71e”h.Œehttps://conda.anaconda.org/conda-forge/noarch/birdsong-recognition-dataset-0.3.2-pyhd8ed1ab_1.tar.bz2”h0Œ@b7091547a9d0f0809ef11a16a90f06de4a69580bd547d643c461ea95d38b0fad”h2NhNh3Œnumpy >=1.18.1”Œpython >=3.8”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ®êŸæffhEM%6hFˆubh)”}”(hŒimagepy”h#Œ0.17”h%Œpy_0”h'K hhh(h)hŒimagepy-0.17-py_0.tar.bz2”h+Œ de89d41823bbafe50abc483eec2c4df8”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/imagepy-0.17-py_0.tar.bz2”h0Œ@cc39c15a375e58d997578886f84d14a12bd91f9e556408e302ed4074cdc50982”h2NhNh3(Œnumba >=0.29”Œpython”Œscikit-image >=0.12”Œshapely >=1.0”Œwxpython >=4.0”t”h9h?h@ŒBSD 3-clause”hBŒBSD”hEJ½b hFˆubh)”}”(hŒr-enrichwith”h#Œ0.3.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-enrichwith-0.3.1-r36h6115d3f_0.tar.bz2”h+Œ 9bfc7247fcc57c212a9818997bd14f4c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-enrichwith-0.3.1-r36h6115d3f_0.tar.bz2”h0Œ@219c33318fb814f9b009648b896a6a47d83fcc6135d832c534a6166265791e15”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×Š$hƒhEJF¾ hFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ*r-icluster-2.1.0-r351h6115d3f_1001.tar.bz2”h+Œ d73dd37644c8c73e51241969bf59ff3e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r351h6115d3f_1001.tar.bz2”h0Œ@1a40e40d1228172e6ba3d395c0f1de8d964cf7f8cf087eddc3a3da3cb7ed552e”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖýþ¼û×
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r-rdetools”h#Œ1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-rdetools-1.0-r40hc72bb7e_0.tar.bz2”h+Œ dde44dfa971d0574db6f5495a39538dc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rdetools-1.0-r40hc72bb7e_0.tar.bz2”h0Œ@a91104e2b231ba93e4c5f03188a4aef9aa206600dd2e4cca0840b0c1ae82b25f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ê]¿/\)hEJe’ hFˆubh)”}”(hŒr-msar”h#Œ0.6.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-msar-0.6.0-r42hc72bb7e_1.tar.bz2”h+Œ 0b023551f41f3021064caa2ed01e0dbd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-msar-0.6.0-r42hc72bb7e_1.tar.bz2”h0Œ@b7d8cbee586d76cd0dfbfa7a4b528fd8009dbbd0bc3b1aaa32c520235af949bc”h2NhNh3Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-htmlwidgets”‡”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAØÒM‡hEJ# hFˆubh)”}”(hŒsphinxcontrib-redoc”h#Œ1.6.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ.sphinxcontrib-redoc-1.6.0-pyh9f0ad1d_0.tar.bz2”h+Œ 3d3a73712aa87c3afafe16cb41a8fca0”h.Œ\https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-redoc-1.6.0-pyh9f0ad1d_0.tar.bz2”h0Œ@1f08548b209c33bac0686b4b4868fd19ffceef86717fc7c99562ed234dd794b7”h2NhNh3(Œjinja2 >=2.4”Œjsonschema >=3.0”Œpython”Œpyyaml >=3.12”Œ	six >=1.5”Œsphinx >=1.5”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×¦„åLjhEJŠ hFˆubh)”}”(hŒunicorn-binance-rest-api”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3unicorn-binance-rest-api-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 071ecb0bcc382deb4739c62ab78a2d83”h.Œahttps://conda.anaconda.org/conda-forge/noarch/unicorn-binance-rest-api-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@68cd9f32bc3a833436c053676bcf7020b43c93ebf11ab27cad97e8c3de6fd423”h2NhNh3(Œcertifi”Œcolorama”Œcryptography”Œ
dateparser”Œ	pyopenssl”Œpython >=3.6”Œregex <=2022.3.2”Œrequests”Œservice_identity”Œujson”t”h9h?h@ŒMIT”hBŒMIT”hDGAØžêØbñªhEMšhFˆubh)”}”(hŒ
r-rematch2”h#Œ2.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-rematch2-2.1.2-r42hc72bb7e_2.tar.bz2”h+Œ e8be9d4a91d2a17ad8aca012982e7d48”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r42hc72bb7e_2.tar.bz2”h0Œ@1d107957b0360c42e2017df9ec7243122e09f258395a11a9629af5d708af8709”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-tibble”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐAj7KÇhEM^ÖhFˆubh)”}”(hŒr-coro”h#Œ1.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-coro-1.0.3-r42hc72bb7e_1.tar.bz2”h+Œ 9ee8686805e6bc62fa946ed463829cdf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-coro-1.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@0aa91ae2cd55e511853fe34248950f2647c9febd3a9c45816b1ba699b99faec1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rlang >=0.4.9”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ“j$záhEJNU hFˆubh)”}”(hŒr-dictionar6”h#Œ0.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-dictionar6-0.1.3-r42hc72bb7e_1.tar.bz2”h+Œ dea3a96bfaf4a61b3af99b876b1cc537”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dictionar6-0.1.3-r42hc72bb7e_1.tar.bz2”h0Œ@cb88f66ee05de00f31d85af432d80aafcc6dcb96481d9397511c9f522429bd88”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ooplah”Œr-r6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐâw¼jhEJ2r hFˆubh)”}”(hŒr-korpus.lang.en”h#Œ0.1_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-korpus.lang.en-0.1_4-r41hc72bb7e_0.tar.bz2”h+Œ 0938011e12bcdd8564b564fd3e7121de”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-korpus.lang.en-0.1_4-r41hc72bb7e_0.tar.bz2”h0Œ@555828b8f29a276ae6b893806fd10650d75e3e50cbdb9370391ba48a3abe3062”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-korpus >=0.11_2”Œ
r-sylly.en”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ+€ý¡ËhEM$”hFˆubh)”}”(hŒr-clusterses”h#Œ2.6.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-clusterses-2.6.5-r40hc72bb7e_0.tar.bz2”h+Œ db6a1cfe5b36a3ee3fed45c1bf4ccc6d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-clusterses-2.6.5-r40hc72bb7e_0.tar.bz2”h0Œ@e18add149f1136b019b1536fc93d84652092e71c2644ebcdccd7965e2270a114”h2NhNh3(Œr-aer”Œr-base >=4.0,<4.1.0a0”Œr-dfidx”Œ	r-formula”Œr-lmtest”Œr-mlogit”Œr-plm”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØç2¬Ý/hEJ>Ž hFˆubh)”}”(hŒ	r-sciplot”h#Œ1.2_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-sciplot-1.2_0-r41hc72bb7e_1.tar.bz2”h+Œ ef5a9686c3360815ebb7442414217b9b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sciplot-1.2_0-r41hc72bb7e_1.tar.bz2”h0Œ@bdfbfdc45d5cc31fd8363b38747bca2a201ed1335fe260e2fad794152542cb16”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+÷C•hEM#ÉhFˆubh)”}”(hŒlibibverbs-devel-cos6-x86_64”h#Œ1.1.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7libibverbs-devel-cos6-x86_64-1.1.8-hdf0574f_102.tar.bz2”h+Œ bab8367e1981c1edecc0d1b9286a9dbc”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libibverbs-devel-cos6-x86_64-1.1.8-hdf0574f_102.tar.bz2”h0Œ@09f98ecdeea02f5bbe29baf335d73b314d038172c97e7dfd145057694dc6560b”h2NhNh3Œ$libibverbs-cos6-x86_64 ==1.1.8 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Å+o)™šhEJ‘ hFˆubh)”}”(hŒat-spi-cos7-x86_64”h#Œ1.32.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/at-spi-cos7-x86_64-1.32.0-h9d98e8f_1104.tar.bz2”h+Œ 4618ab87767e77d05d33616803c34712”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-x86_64-1.32.0-h9d98e8f_1104.tar.bz2”h0Œ@447880bc7336bc3b6a6f5a8e880386ff26be68a078d0f1d15e920adbe79c9ae9”h2NhNh3(Œatk-cos7-x86_64 >=1.29.2 *_1104”Œ gtk2-cos7-x86_64 >=2.10.0 *_1104”Œ!gtk2-cos7-x86_64 >=2.24.31 *_1104”Œ$libbonobo-cos7-x86_64 >=2.4.0 *_1104”Œ!orbit2-cos7-x86_64 >=2.6.0 *_1104”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É€QJ~úhEJú8 hFˆubh)”}”(hŒbqplot-image-gl”h#Œ1.4.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+bqplot-image-gl-1.4.11-pyhd8ed1ab_0.tar.bz2”h+Œ d7ce444204fc170d4dfd8fbd37e1dd1f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/bqplot-image-gl-1.4.11-pyhd8ed1ab_0.tar.bz2”h0Œ@f2b84d2ee2784d5d4eb6e74af5e43321361ce4f2b945eda6a408eb1bb75830b6”h2NhNh3Œbqplot >=0.12”Œipywidgets >=7.0.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ¿%ü§ðhEJõg hFˆubh)”}”(hŒ
coreschema”h#Œ0.0.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%coreschema-0.0.4-pyh9f0ad1d_0.tar.bz2”h+Œ c485c29b40a8f854c1a95a707f9e2d53”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/coreschema-0.0.4-pyh9f0ad1d_0.tar.bz2”h0Œ@80b6fb94608c13571304cf4f9d3081d7c2296eb2e8b0208b80773b15d8ce01a5”h2NhNh3Œjinja2”Œpython”†”h9h?h@ŒBSD-1-Clause”hDGA×É4‚Ÿ¾hEMô=hFˆubh)”}”(hŒr-dot”h#Œ0.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒr-dot-0.1-r40h6115d3f_1.tar.bz2”h+Œ bbc9a044faa248169d75f67620c84cc5”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-dot-0.1-r40h6115d3f_1.tar.bz2”h0Œ@65bcb5713bc516741a8e79e2497094771beea7c65aa4071196c4bbe0aa5f20be”•J      h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-v8 >=1.0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×¯î#"ÑhEJÕÊ hFˆubh)”}”(hŒ
keras2onnx”h#Œ1.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%keras2onnx-1.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4a1a636c3c456fef2738ed0114b288b8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/keras2onnx-1.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@76d625fb45961c27d2ce05868a3d1ff896ebbfbce1519978dea92c3b7fb30879”h2NhNh3(Œfire”Œnumpy”Œonnx”Œonnxconverter-common >=1.8.0”Œprotobuf”Œpython >=3.6”Œrequests”Œ
tensorflow”t”h9h?h@ŒMIT”hBŒMIT”hDGAØïý
n˜hEJñ hFˆubh)”}”(hŒ
modelcards”h#Œ0.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%modelcards-0.1.6-pyhd8ed1ab_0.tar.bz2”h+Œ f2833687e9583b32e5a2f0549a2bfd2e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/modelcards-0.1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@2522ac81139cc27dc87049b6e411d67856331fabc466eefa41445d68a66f5dc6”h2NhNh3(Œhuggingface_hub >=0.8.1”Œjinja2”Œpython >=3.7”Œpyyaml >=5.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÔÿ/?PhEMm8hFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr36hc72bb7e_2”h'Khhh(h)hŒ)r-tfautograph-0.3.2-r36hc72bb7e_2.tar.bz2”h+Œ e92421c5efe7e642fd5d2f79224f4ec1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r36hc72bb7e_2.tar.bz2”h0Œ@f4e477b463152b327e1bc87e9fcf83a1993998be61224b9c53241c67cd3e6dea”h2NhNh3Œr-backports”Œr-base >=3.6,<3.7.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑqpë•hEJ:Ì hFˆubh)”}”(hŒserialchemy”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒserialchemy-0.3.0-py_0.tar.bz2”h+Œ c550b21343b0db9241ebf2c7997b2c01”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/serialchemy-0.3.0-py_0.tar.bz2”h0Œ@0b5adfaa063ac0a880d36f79b34f67566bca74a6c9eef879ad2d88bdfead122d”h2NhNh3Œpython >=3.6”Œsqlalchemy >=1.1”†”h9h?h@ŒMIT”hBŒMIT”hDGA×eÝ•Q7LhEMxLhFˆubh)”}”(hŒploomber-scaffold”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,ploomber-scaffold-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4dbb7c810f35c0b41752b7a95ef5b212”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ploomber-scaffold-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4fcc1c1fbc5183b4747810ba74c86c731c7bad9278478cbb465032a2aea1ebe7”h2NhNh3Œjinja2”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØƒ•*A‰hEMTŽhFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ+r-cellranger-1.1.0-r35h6115d3f_1002.tar.bz2”h+Œ dfb4130affb562c7c73d2a30c57b593a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r35h6115d3f_1002.tar.bz2”h0Œ@b1a807b752b25ac2e8122c4b8b506c20e22253fe07d04d2c9d46ae78fb2ad816”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×KþƒEhEJ\¦ hFˆubh)”}”(hŒ	timechart”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$timechart-1.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ c8fa062c7a49563f56a271707d69977d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/timechart-1.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d6f56d4531150c70474bfa6bb1e311cefed3bc0c47010a6e819056f067bbed27”h2NhNh3(Œpydm >=1.6.0”Œ	pyqtgraph”Œpython >=3.6”Œqtpy”Œsix”t”h9h?h@ŒLicenseRef-BSD-3-Clause-SLAC”hBŒBSD”hDGAØÄ‰I)‰7hEMùÅhFˆubh)”}”(hŒbg-atlasapi”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&bg-atlasapi-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ fadbb7542db5eb085dd0b5fc8eb29917”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/bg-atlasapi-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@93663151110f7fd32db481227a21029978198178d16e1b4deddc1841c0f0c068”h2NhNh3(Œbg-space >=0.5.0”Œclick”Œmeshio”Œnumpy”Œpandas”Œpython >=3.6”Œrequests”Œrich”Œtifffile”Œtqdm >=4.46.1”Œtreelib”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ•jÈ´hEMßThFˆubh)”}”(hŒr-cliapp”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-cliapp-0.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 2d2dbd1ec3f0707b786e11b49744982c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cliapp-0.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@90a1f3f27d7081433b74d9dea655b7fa98e204b4f89ca7215e409e4a0960307b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-crayon”Œr-fansi”Œr-glue >=1.3.0”Œr-prettycode”Œr-progress >=1.2.0”Œr-r6”Œ	r-selectr”Œr-withr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑI+SøhEJkÐ hFˆubh)”}”(hŒ	pyrundeck”h#Œ0.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyrundeck-0.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2f90d63fd2da92d59eb81ea615cbce0b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyrundeck-0.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fdac42262af751d0d984615842fdd0463b50bdbe9d219015f5a92b4bc24be805”h2NhNh3Œpython >=2.7”Œrequests”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¯ˆÃ¢°!hEMä`hFˆubh)”}”(hŒ
newversion”h#Œ1.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%newversion-1.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ df8eff051ae9449d93daa41d6d1b3305”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/newversion-1.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1d3b31f9801e00b769e42b318856614f21439d9ff4c325a7e26d621c174dc032”h2NhNh3Œpackaging >=20.0”Œpython >=3.6”Œtyping-extensions >=3.7.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØbÛÁ‰7hEM0>hFˆubh)”}”(hŒ
r-ggridges”h#Œ0.5.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-ggridges-0.5.4-r40hc72bb7e_0.tar.bz2”h+Œ 84040de1ea46588a28247a629ebd4a75”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggridges-0.5.4-r40hc72bb7e_0.tar.bz2”h0Œ@d4a537a388c97a21d090a8f402ead69626953b33150339c428bb0fa6e012b0ef”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=3.0.0”Œr-plyr >=1.8.0”Œr-scales >=0.4.1”Œr-withr >=2.1.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÌa%ù™šhEJm" hFˆubh)”}”(hŒkim_edn”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒkim_edn-1.1.0-py_0.tar.bz2”h+Œ 5ffb58b966d5cb45f18de8f9a1532a04”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/kim_edn-1.1.0-py_0.tar.bz2”h0Œ@6cb0dee2377bf3f3b55f53baa216f3d74778bce9a4fb6038a07f529987ec5429”h2NhNh3Œpython >=3.6”…”h9h?h@ŒCDDL-1.0”hBŒOTHER”hDGA×–H˜§;dhEMÝŠhFˆubh)”}”(hŒr-pbs”h#Œ1.1”h%Œr42hc72bb7e_4”h'Khhh(h)hŒr-pbs-1.1-r42hc72bb7e_4.tar.bz2”h+Œ ff45d9e9dec74e10a8440ded255a322c”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pbs-1.1-r42hc72bb7e_4.tar.bz2”h0Œ@53867425ce77026bcf5c0b63ed557831c804c668d0d05aa69a50d89beeb0bcf8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ”#8´9hEM~hFˆubh)”}”(hŒflask-apispec”h#Œ0.11.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)flask-apispec-0.11.4-pyhd8ed1ab_0.tar.bz2”h+Œ 801563cb4bd6ba05416092efafc5592f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/flask-apispec-0.11.4-pyhd8ed1ab_0.tar.bz2”h0Œ@70cec89b788552acbcd59d616c2e8c9f9e9e2d5f13b055af8a008f54a4201759”h2NhNh3(Œapispec >=4.0.0”Œflask >=0.10.1”Œmarshmallow >=3.0.0”Œpython >=3.6”Œwebargs >=6.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ½‘1€A‰hEJ¦| hFˆubh)”}”(hŒslackclient”h#Œ1.3.1”h%Œpy_0”h'K hhh(h)hŒslackclient-1.3.1-py_0.tar.bz2”h+Œ ff0d3d6a07cf0e41c65bf0873c70b888”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/slackclient-1.3.1-py_0.tar.bz2”h0Œ@91c68e827f0c32e13e73eaef72319865a8d523f220e2b07831c3c0b077aebc6f”h2NhNh3(Œpython”Œrequests >=2.11,<3.0a0”Œsix >=1.10,<2.0a0”Œwebsocket-client >=0.35,<1.0a0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×" Â€bhEMÂAhFˆubh)”}”(hŒ	r-shinylp”h#Œ1.1.2”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ(r-shinylp-1.1.2-r42hc72bb7e_1003.tar.bz2”h+Œ 1991dfd1a5a8990a33861afc79c90cbc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinylp-1.1.2-r42hc72bb7e_1003.tar.bz2”h0Œ@eedc5cb0f1fd282be9fb09822ddfd218dbb1fa347b06a88f8948024ecbd7b04b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒR[SøhEM «hFˆubh)”}”(hŒhomura”h#Œ0.1.5”h%Œpy_1”h'Khhh(h)hŒhomura-0.1.5-py_1.tar.bz2”h+Œ 567012e8573d7adc711387b9ad4503f7”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/homura-0.1.5-py_1.tar.bz2”h0Œ@3be33be974d9e47d5950036e56e0417c300c93aacfc4201db62ec98e3926582b”h2NhNh3(Œcertifi”Œhumanize”Œpycurl”Œpython”Œsix”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×v›ÑëohEM1#hFˆubh)”}”(hŒpciutils-devel-cos7-ppc64le”h#Œ3.5.1”h%Œ
h1341992_0”h'K hhh(h)hŒ4pciutils-devel-cos7-ppc64le-3.5.1-h1341992_0.tar.bz2”h+Œ 46d05158da21b60be6a19f5288673e9a”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-ppc64le-3.5.1-h1341992_0.tar.bz2”h0Œ@69be6866df54f51ab80d3e495f1a56d194ff77fb07acc027e8f2c2c4902ea4d2”h2NhNh3Œ+pciutils-libs-cos7-ppc64le 3.5.1 h1341992_0”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2”hBŒGPL2”hDGA×ŸÏR÷;dhEM7YhFˆubh)”}”(hŒpixman-cos7-ppc64le”h#Œ0.34.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/pixman-cos7-ppc64le-0.34.0-hdf0574f_102.tar.bz2”h+Œ 17fd4e9b8ddec52d64731b05ae463bbb”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pixman-cos7-ppc64le-0.34.0-hdf0574f_102.tar.bz2”h0Œ@2493729550b354a24dde8cc439894f578db86080b520a0b4168d1f09928bafe2”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;€‘Û#hEJ)e hFˆubh)”}”(hŒlibxshmfence-cos6-x86_64”h#Œ1.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ1libxshmfence-cos6-x86_64-1.2-h9d98e8f_104.tar.bz2”h+Œ b544b025e4c99fba9a60361e29e70981”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos6-x86_64-1.2-h9d98e8f_104.tar.bz2”h0Œ@5536ab19707feaa53143721fbcb67bbedd838a8562ab4564ad1b7af8555c7d22”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyœzáhEMšhFˆubh)”}”(hŒr-gfa”h#Œ1.0.3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ$r-gfa-1.0.3-r41hc72bb7e_1003.tar.bz2”h+Œ 3c6ef2334d46fd28633871c917dca38f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gfa-1.0.3-r41hc72bb7e_1003.tar.bz2”h0Œ@0bdac2641fee0d642ba215c8cfcba7eace44459c7dc1b2c71748eeb47c8b8c0b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒw©c¥ãhEJÂ} hFˆubh)”}”(hŒr-x13binary”h#Œ1.1.57_3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-x13binary-1.1.57_3-r42hc72bb7e_1.tar.bz2”h+Œ 0193c8100ad0e3b2e339823434bce228”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-x13binary-1.1.57_3-r42hc72bb7e_1.tar.bz2”h0Œ@14f52a29d190709aa2ef4255586713a884c9ec6c463968b5be474e6f89f2155c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑ­ïo+hEJ{9  hFˆubh)”}”(hŒr-ascii”h#Œ2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-ascii-2.4-r41hc72bb7e_0.tar.bz2”h+Œ f787c3508d2f15f3d321c1e763151d1b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ascii-2.4-r41hc72bb7e_0.tar.bz2”h0Œ@58cc396d654c3f11890f79cbe5a49fe549803ccaf7ffe0dc6f4442f822aab4b4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-codetools”Œr-digest”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+0¿¦¸RhEJzÄ hFˆubh)”}”(hŒimgaug”h#Œ0.4.0”h%Œpy_1”h'Khhh(h)hŒimgaug-0.4.0-py_1.tar.bz2”h+Œ b574b9f6f09b3783b9f6461a7fa87e24”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/imgaug-0.4.0-py_1.tar.bz2”h0Œ@b98ff197c29ca23ed31e9062b90f770817d81b1a3b8e33338b8dbe4144e80033”h2NhNh3(Œimageio”Œmatplotlib-base”Œnumpy >=1.15”Œopencv”Œpillow”Œpython”Œscikit-image >=0.14.2”Œscipy”Œshapely”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×‘±=è ÅhEJ  hFˆubh)”}”(hŒ	termcolor”h#Œ1.1.0”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ$termcolor-1.1.0-pyhd8ed1ab_3.tar.bz2”h+Œ 2a28d2137388d7c6a903f29319f262bc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/termcolor-1.1.0-pyhd8ed1ab_3.tar.bz2”h0Œ@3fb90b405a557c03cf02d77684ee305f21f27f9ff127ae9f099c1c29e8e975be”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ±g–¡©ühEMN!hFˆubh)”}”(hŒ	r-sigmajs”h#Œ0.1.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-sigmajs-0.1.5-r40hc72bb7e_0.tar.bz2”h+Œ 69f3238b2db2c557a52643f8d57bb387”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sigmajs-0.1.5-r40hc72bb7e_0.tar.bz2”h0Œ@bd998d0749979a6a8bb8426721c930be8ffa4187d4ffc78c9f9c292e8b7651ab”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crosstalk”Œr-dplyr >=0.7.0”Œr-htmltools”Œr-htmlwidgets”Œr-igraph”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-scales”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+“ß`bhEJˆr hFˆubh)”}”(hŒ	r-tfisher”h#Œ0.2.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-tfisher-0.2.0-r35h6115d3f_0.tar.bz2”h+Œ 39a79ada5f76369517dabccdbda09dc1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tfisher-0.2.0-r35h6115d3f_0.tar.bz2”h0Œ@2d4425e9c76eecf4046ffe31f51d4e3b50ba22f25fc3f6f3d8f1ced5a306a45e”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-matrix”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×{‘]¤1hEJ·m hFˆubh)”}”(hŒsysroot_linux-ppc64le”h#Œ2.17”h%Œh395ec9b_12”h'Khhh(h)hŒ.sysroot_linux-ppc64le-2.17-h395ec9b_12.tar.bz2”h+Œ 27f4ac50e31822bb6f3f7a1aba4f8041”h.Œ\https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-ppc64le-2.17-h395ec9b_12.tar.bz2”h0Œ@d41fa928b2ce1deecb5f1656fb12f283153db553586720c70c28e0914d01c68c”h2NhNh3Œ/kernel-headers_linux-ppc64le 3.10.0 h23d7e6c_12”Œ-_sysroot_linux-ppc64le_curr_repodata_hack 4.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ=¨~5?hEJ_!hFˆubh)”}”(hŒ	r-ensurer”h#Œ1.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ&r-ensurer-1.1-r40h6115d3f_1002.tar.bz2”h+Œ 293846ce7cb8d5f72d89c0527dfae7d7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ensurer-1.1-r40h6115d3f_1002.tar.bz2”h0Œ@cd06078a7125c613f2017280b67f671fabd81ba4e9eb6c02c87040dc88e31308”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬Ú*°!hEMiÇhFˆubh)”}”(hŒgtk2-cos7-x86_64”h#Œ2.24.31”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.gtk2-cos7-x86_64-2.24.31-hdf0574f_1102.tar.bz2”h+Œ 785acff5498cffd6767a22edb155d201”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gtk2-cos7-x86_64-2.24.31-hdf0574f_1102.tar.bz2”h0Œ@b22d7954884617b70a7c0cb747ce1f076d2159ebea67019444fb3c6c1838d334”h2NhNh3(Œatk-cos7-x86_64 >=1.29.4 *_1102”Œ!glib2-cos7-x86_64 >=2.28.0 *_1102”Œ"libtiff-cos7-x86_64 >=3.6.1 *_1102”Œ'libxrandr-cos7-x86_64 >=1.2.99.4 *_1102”Œ!pango-cos7-x86_64 >=1.20.0 *_1102”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅiÁ²MÓhEJÞ= hFˆubh)”}”(hŒstopwordsiso”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'stopwordsiso-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ d115a81ec9c9dcec1e3629425e98b33b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/stopwordsiso-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6bf353173d4eb24207b2f03df17d26faba3e4cdcc93e6b6a74aad17698cbf704”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ…66Ô¬hEJ& hFˆubh)”}”(hŒdtool_config”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dtool_config-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5a1c40dcc8bf93167197bafef6434540”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dtool_config-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@44c965d3cfeb1ca05f2ba4678a5515aa467241355208ea4374c2bb7772065973”h2NhNh3(Œclick”Œ	dtool_cli”Œ	dtoolcore”Œpython >=3.6”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ4«KÇhEMˆ"hFˆubh)”}”(hŒchkconfig-cos7-ppc64le”h#Œ1.7.6”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2chkconfig-cos7-ppc64le-1.7.6-h9b0a68f_1105.tar.bz2”h+Œ a7dd48344ecf6a82c88e6f12926ad2c4”h.Œ`https://conda.anaconda.org/conda-forge/noarch/chkconfig-cos7-ppc64le-1.7.6-h9b0a68f_1105.tar.bz2”h0Œ@e483e121b1937ad102d10cdcbd9154ce2fb64a1295ce111f5b455fb997ff259c”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@‡NnE¢hEJy£ hFˆubh)”}”(hŒr-daff”h#Œ0.3.5”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-daff-0.3.5-r35h6115d3f_0.tar.bz2”h+Œ 10091b89ce345c8b656968f10fa4a010”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-daff-0.3.5-r35h6115d3f_0.tar.bz2”h0Œ@a89e2aef2f75b39316429c57a644a0b2801ba3d1f194979e20705529fbf5dae6”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×NÇÆî§ðhEJd[ hFˆubh)”}”(hŒspectral-cube”h#Œ0.5.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ(spectral-cube-0.5.0-pyh9f0ad1d_0.tar.bz2”h+Œ bc3fce10dacaa30636d1a6b0febc0b9c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/spectral-cube-0.5.0-pyh9f0ad1d_0.tar.bz2”h0Œ@1047527d7fc96d6d3532583e14516b8be0ac6bd30774210d07e604dc2a5adda8”h2NhNh3(Œastropy”Œdask”Œjoblib”Œnumpy >=1.8.0”Œpython”Œradio-beam >=0.2”Œ
setuptools”Œsix”t”h9h?h@ŒBSD 3-clause”hBŒBSD”hDGA×Ù~²¹ë…hEJÔc hFˆubh)”}”(hŒ	dtool_smb”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$dtool_smb-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ a75fdb5e2a435827672ad02e125fba43”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dtool_smb-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@926af662853a95d02783433c68b1e4314a0b95b773a80c183decc88ce2dde639”h2NhNh3Œdtoolcore >=3.17”Œpysmb”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØM†Ià1'hEMæ/hFˆubh)”}”(hŒlibtiff-cos7-aarch64”h#Œ4.0.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0libtiff-cos7-aarch64-4.0.3-hdf0574f_1102.tar.bz2”h+Œ bf71428dfc4d30fe36b036c696b028fa”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-aarch64-4.0.3-hdf0574f_1102.tar.bz2”h0Œ@9dc1063b053133522e2abeee63d469bb9b36d2ef68e5dfa15c2e413a1029b346”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@Œlibtiff”hBŒOther”hDGA×ÅiM‡hEJU½ hFˆubh)”}”(hŒ
r-spscomps”h#Œ0.3.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-spscomps-0.3.2.1-r41hc72bb7e_1.tar.bz2”h+Œ edf1b573d4ab6653fa77e6e02145ab13”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-spscomps-0.3.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@a2eb0dd1d055e6ff181e174ee34cde1a3e1ede741f9b7092775f25a74c5ec196”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-glue >=1.4.0”Œr-htmltools”Œ
r-magrittr”Œr-r6”Œr-shiny >=1.5.0”Œ
r-shinyace”Œr-shinytoastr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ9FÈ´hEJ‰· hFˆubh)”}”(hŒiso8601”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"iso8601-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 567e6f07f902fadce1b57d7bb1d0f363”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/iso8601-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@521134a9c99ca71d1644a06cea26d1812cf147a222085796512ef1bf2a035fc9”h2NhNh3Œpython >=3.6,<4”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÍ!Äº^5hEMó7hFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œha826a6f_103”h'Kghhh(h)hŒ5libdrm-devel-cos7-ppc64le-2.4.97-ha826a6f_103.tar.bz2”h+Œ 884eed5ab3bc532e16f317fbe3d3af27”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-ppc64le-2.4.97-ha826a6f_103.tar.bz2”h0Œ@9819d95b329369edb24df904c6a232e2990e1a8a4cbc6258f2fec41b4e4d7dd3”h2NhNh3Œ*kernel-headers-cos7-ppc64le >=2.6.27 *_103”Œ"libdrm-cos7-ppc64le ==2.4.97 *_103”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0"%ÂhEJìô hFˆubh)”}”(hŒlibrdmacm-devel-cos6-x86_64”h#Œ1.0.21”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7librdmacm-devel-cos6-x86_64-1.0.21-h9d98e8f_104.tar.bz2”h+Œ 175dba323f729d52fd7991d8b8b2d96f”h.Œehttps://conda.anaconda.org/conda-forge/noarch/librdmacm-devel-cos6-x86_64-1.0.21-h9d98e8f_104.tar.bz2”h0Œ@fd53fed62aca543396743549926b20ed92d031161df8ab1702a864646650c6cf”h2NhNh3Œ$librdmacm-cos6-x86_64 ==1.0.21 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Éz–Ü¼jhEJ! hFˆubh)”}”(hŒr-collateral”h#Œ0.5.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-collateral-0.5.2-r40hc72bb7e_0.tar.bz2”h+Œ 5428b8a91e8d1c1629eb01f6cb887064”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-collateral-0.5.2-r40hc72bb7e_0.tar.bz2”h0Œ@1e61c8eb4119feaaf0e77c65422df4aec2c9cc240d4414dfa38294b250cf2552”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-pillar”Œr-purrr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ]¤šÀÄœhEJê… hFˆubh)”}”(hŒ
rb-octokit”h#Œ4.14.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ$rb-octokit-4.14.0-hd4c1694_0.tar.bz2”h+Œ c7505ef3dd643929e1972dae5d264bdd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rb-octokit-4.14.0-hd4c1694_0.tar.bz2”h0Œ@48913249a043b29235c2adcf8ebc05ac76dadbfc7786c77cabec3791ff972d48”h2NhNh3Œrb-sawyer >=0.8.0,<0.9”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ZåÅu²-hEJ P hFˆubh)”}”(hŒ	r-selectr”h#Œ0.4_2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-selectr-0.4_2-r36h6115d3f_0.tar.bz2”h+Œ 4b8f335a55a50e8c281277e4a11d1faf”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-selectr-0.4_2-r36h6115d3f_0.tar.bz2”h0Œ@0975cd21e8ad8611e80ab5f99c04014a1f084e0a9cf730a654709a8278ee9281”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-r6”Œ	r-stringr”‡”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×€Z:B-hEJ”o hFˆubh)”}”(hŒr-drc”h#Œ3.0_1”h%Œr36_1002”h'Mêhhh(h)hŒr-drc-3.0_1-r36_1002.tar.bz2”h+Œ 8ec7afc6ebe61134bada2d78a8f0913b”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-drc-3.0_1-r36_1002.tar.bz2”h0Œ@e9e26719d6d525dafbc1417e5972e5aec140dbbe82a229832e500cc3734ffbf7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-car”Œr-gtools”Œr-mass”Œ
r-multcomp”Œ	r-plotrix”Œr-scales”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×M¶vÙhEJ›l hFˆubh)”}”(hŒr-assertive.matrices”h#Œ0.0_2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ1r-assertive.matrices-0.0_2-r351h6115d3f_0.tar.bz2”h+Œ 2f7039daa9b9aeb8982129df016c3281”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-assertive.matrices-0.0_2-r351h6115d3f_0.tar.bz2”h0Œ@d5200c7bd80bf225452eb899276bbca0bd1b20c0d166fb874dd56b6be3ce34da”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.5.1,<3.5.2.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×ÂÂñ©ühEM^¹hFˆubh)”}”(hŒ
r-dendsort”h#Œ0.3.4”h%Œr40ha770c72_0”h'K hhh(h)hŒ&r-dendsort-0.3.4-r40ha770c72_0.tar.bz2”h+Œ cf1ad02e088fe199adb959751cd85857”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dendsort-0.3.4-r40ha770c72_0.tar.bz2”h0Œ@1a16e95d8ce72e5394de5f76ace2a10dbed79af0a4dacd1c27b2f9231671d603”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ·wvÉhEJpZ hFˆubh)”}”(hŒ	r-spatest”h#Œ3.1.2”h%Œr40h6115d3f_0”h'K hhh(h)hŒ%r-spatest-3.1.2-r40h6115d3f_0.tar.bz2”h+Œ d3a4b0eef8fb91eaec1679be37029a44”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spatest-3.1.2-r40h6115d3f_0.tar.bz2”h0Œ@8226472fcbd99db1bf8130ceb371f43e9084a87fa59c609ce58cd3efff8102f3”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Ô™ŽMÂhEJÎ hFˆubh)”}”(hŒxcb-util-devel-cos7-ppc64le”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7xcb-util-devel-cos7-ppc64le-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ d1d7708bbfcdd026d36886a787fa1b79”h.Œehttps://conda.anaconda.org/conda-forge/noarch/xcb-util-devel-cos7-ppc64le-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@df9594f8e49593e42adaaf64c53a1bc32aec6edffd33c5a35d59c9d3d2f5a660”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”Œ$xcb-util-cos7-ppc64le ==0.4.0 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@á%OßhEMˆ#hFˆubh)”}”(hŒr-korpus.lang.en”h#Œ0.1_4”h%Œr36h142f84f_0”h'K hhh(h)hŒ,r-korpus.lang.en-0.1_4-r36h142f84f_0.tar.bz2”h+Œ 27a6111befaeb5e62bbbeafba3a0b605”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-korpus.lang.en-0.1_4-r36h142f84f_0.tar.bz2”h0Œ@c74efd9fa967dee64226e5f78346bd23bec75606cd2234ac90e5865cf863e738”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-korpus >=0.11_2”Œ
r-sylly.en”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×åÜ&éyhEMz“hFˆubh)”}”(hŒfaerun”h#Œ0.3.20”h%Œpy_0”h'K hhh(h)hŒfaerun-0.3.20-py_0.tar.bz2”h+Œ e2f271f9956833d05f966701967becb1”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/faerun-0.3.20-py_0.tar.bz2”h0Œ@33fd6c31af18524814a9f77a6b5520c4804c691f500f6899d1aed7c8b9c0fdd8”h2NhNh3(Œcherrypy >=18.1.0”Œcolour >=0.1.5”Œjinja2 >=2.10”Œmatplotlib-base >=3.0.2”Œnumpy >=1.15.4”Œpandas >=0.24.2”Œpython >=3.0”Œujson >=1.35”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÀW‰ÊÁhEJ\ hFˆubh)”}”(hŒjlab-enhanced-launcher”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1jlab-enhanced-launcher-3.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ b5a00b1febe4b70d8258e6ba3e45d675”h.Œ_https://conda.anaconda.org/conda-forge/noarch/jlab-enhanced-launcher-3.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2a007e98b342d2503472f7021cfd3cce58aba9173e2e1d9c3e8370dd00276d31”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡‡6¼jhEM÷chFˆubh)”}”(hŒlibpng-devel-cos7-ppc64le”h#Œ1.5.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libpng-devel-cos7-ppc64le-1.5.13-h9b0a68f_1105.tar.bz2”h+Œ c9c1aa59002bd36b0fc6327e1c13082a”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-ppc64le-1.5.13-h9b0a68f_1105.tar.bz2”h0Œ@87a7c94d276d8024742ab40acd2fa7afcc026aa9cdbf3154c8fcc1988177edc6”h2NhNh3Œ#libpng-cos7-ppc64le ==1.5.13 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@Œzlib”hBŒOther”hDGAØ@‹¡EVhEJãÁ hFˆubh)”}”(hŒmosdef-gomc”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&mosdef-gomc-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1343b40524bee25d6b1d7dfbe7ff765c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/mosdef-gomc-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4eb937e59e2632d3a057e78cd54668962ada380e9b965a1c5680b94322ddf386”h2NhNh3Œfoyer”Œmbuild >=0.14.2”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÖRhd1hEJ¾Ú hFˆubh)”}”(hŒmultivisor-cli”h#Œ6.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)multivisor-cli-6.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2de934ab0923a381962763a204a84dae”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/multivisor-cli-6.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2a4b96a24deb773f91a959d043cf2a0176aaa0671bb76a1ed92058a311ac765c”h2NhNh3(Œblinker”Œmaya”Œmultivisor >=6.0.1,<6.0.2.0a0”Œprompt_toolkit >=2”Œpython >=3.6”Œrequests”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¨VzáhEMã:hFˆubh)”}”(hŒ
pyexpander”h#Œ1.9.2”h%Œpy_0”h'K hhh(h)hŒpyexpander-1.9.2-py_0.tar.bz2”h+Œ 3fadaf6f2fb6b3df4f15fcebccc91a66”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pyexpander-1.9.2-py_0.tar.bz2”h0Œ@8382ff71bd4bce4270425ac11b3630a04b563c88483bb3ec6a6721d33c6f2b9f”h2NhNh3Œpython >=3.5”…”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×›ØðA‰hEJ+ hFˆubh)”}”(hŒr-kimisc”h#Œ0.4”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ%r-kimisc-0.4-r36h6115d3f_1002.tar.bz2”h+Œ 087c40df7f76c7b2954ecec82187f718”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kimisc-0.4-r36h6115d3f_1002.tar.bz2”h0Œ@56cefcd1fa3b6cf1a94159785949f74ce94d62f3ef14605f77f362c07e8c5cba”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-memoise”Œr-plyr”Œr-pryr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«ê]ñªhEJ‘ hFˆubh)”}”(hŒr-shinyhelper”h#Œ0.3.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-shinyhelper-0.3.2-r36h6115d3f_1.tar.bz2”h+Œ ce064e666ea8b3bf7ec6d6049eb5d543”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinyhelper-0.3.2-r36h6115d3f_1.tar.bz2”h0Œ@7f37d4564877ab15452da04620c2b57856d160878c81cc7d8518c53890cf6150”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-markdown”Œr-shiny”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬;`£hEJ\¯ hFˆubh)”}”(hŒtiobeindexpy”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'tiobeindexpy-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2b06bcfbfb06ccc4223d17548ed62523”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/tiobeindexpy-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6118dfbcea1937a588639e8470d106c4f79667f3c22de56b09a60184ccf4594b”h2NhNh3(Œbeautifulsoup4”Œpandas”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¼B9{t¼hEM%hFˆubh)”}”(hŒr-mgm”h#Œ1.2_13”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-mgm-1.2_13-r42hc72bb7e_1.tar.bz2”h+Œ 316c8aa04d19852caf5e9ee028f005da”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mgm-1.2_13-r42hc72bb7e_1.tar.bz2”h0Œ@834b797ef646dad3c048baaa52995791703f30f9b3347f8b5d9ab466868a0325”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-glmnet”Œr-gtools”Œr-hmisc”Œr-qgraph”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒé×XhEJæw hFˆubh)”}”(hŒdagster_bash”h#Œ0.6.5”h%Œpy_0”h'K hhh(h)hŒdagster_bash-0.6.5-py_0.tar.bz2”h+Œ fc7aab3f4c06ebfdf87bfe72c3408298”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/dagster_bash-0.6.5-py_0.tar.bz2”h0Œ@9371778401dc2caf6a36481475dae53ba50faf398e722528798a3be9ba6a6ae9”h2NhNh3Œdagster 0.6.5.*”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×x;nffhEMï/hFˆubh)”}”(hŒ	langcodes”h#Œ3.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$langcodes-3.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ aacac9c3804912c38087d1c295708493”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/langcodes-3.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d4e86076d93c4368735f1b96d69aa29284aebcf212842b92c48ee8970e9791dc”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØc¬Mp¤hEJp hFˆubh)”}”(hŒr-tablerdash”h#Œ0.1.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ(r-tablerdash-0.1.0-r35h6115d3f_1.tar.bz2”h+Œ 58bf598f307344171387a26431fbe441”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tablerdash-0.1.0-r35h6115d3f_1.tar.bz2”h0Œ@052976a272898badf604da0264cad90314702748474426624615db1a34331ac1”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-htmltools”Œr-knitr”Œr-shiny”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Lœ½^{hEJt« hFˆubh)”}”(hŒr-qqman”h#Œ0.1.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-qqman-0.1.8-r42hc72bb7e_1.tar.bz2”h+Œ d65e48e00824d776346edcfe3ed3e4a5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-qqman-0.1.8-r42hc72bb7e_1.tar.bz2”h0Œ@272f5a10103196a936111e3374a9866f905e8d9886f299cdf761afcd314ab145”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-calibrate”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ0 ûohEJbó hFˆubh)”}”(hŒr-survivalsvm”h#Œ0.0.5”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ)r-survivalsvm-0.0.5-r40hc72bb7e_2.tar.bz2”h+Œ 27ba44c01f3177362f919eaa27977dec”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survivalsvm-0.0.5-r40hc72bb7e_2.tar.bz2”h0Œ@0ee14a9fe1ccbfb157096b05af93c58ef24757aa1ddf6c93c40c7f61043162e9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-hmisc”Œ	r-kernlab”Œr-matrix”Œr-pracma”Œ
r-quadprog”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ.Î–å`hEJÎÉ hFˆubh)”}”(hŒtypedpy”h#Œ2.2.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"typedpy-2.2.0-pyhd3deb0d_0.tar.bz2”h+Œ acb21446f4243395123bd846614a0b8f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/typedpy-2.2.0-pyhd3deb0d_0.tar.bz2”h0Œ@cc04b6a07b7c712bc0395aaaf65ee55f492d8e592494370058d6674faa87d053”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ô ;6vÉhEMxhFˆubh)”}”(hŒr-riverplot”h#Œ0.10”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-riverplot-0.10-r40hc72bb7e_0.tar.bz2”h+Œ 75ec90b7bdbd4a6844d4d8c2cb6a6d96”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-riverplot-0.10-r40hc72bb7e_0.tar.bz2”h0Œ@07310cab20efe6291bbf545b767fa6b9d334da812d9cd6d558c69803ed217e40”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rcolorbrewer”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØžq]hEJ¯Ž hFˆubh)”}”(hŒ!xcb-util-image-devel-cos7-ppc64le”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ=xcb-util-image-devel-cos7-ppc64le-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ 450f41b1ff885cae7698b50d09873b4b”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-devel-cos7-ppc64le-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@18ff4035db7eb4cd708bcd9780d4940dc812b3c6055d7db08c5e6592fd196f35”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”Œ*xcb-util-image-cos7-ppc64le ==0.4.0 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œ‘~ùÛhEMU7hFˆubh)”}”(hŒgsshapy”h#Œ2.3.9”h%Œpy_1”h'Khhh(h)hŒgsshapy-2.3.9-py_1.tar.bz2”h+Œ 7208cab5873caf8a7edbf78a9240c015”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/gsshapy-2.3.9-py_1.tar.bz2”h0Œ@d5aeb857d021da849feaa0c8f893f1f2c7f23556614bd72ca55223d9fff395f0”h2NhNh3(Œaffine”Œappdirs”Œgdal”Œ	geopandas”Œmapkit >=1.2.6”Œpangaea”Œpsycopg2”Œpython >=3.6”Œpyyaml”Œrapidpy”Œtimezonefinder”Œutm”Œ
wrf-python”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×S('Î‡+hEJÈˆ hFˆubh)”}”(hŒlibxcursor-devel-cos7-aarch64”h#Œ1.1.15”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9libxcursor-devel-cos7-aarch64-1.1.15-h9b0a68f_105.tar.bz2”h+Œ be0a04e30f2226faa616ead15a05fa6e”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos7-aarch64-1.1.15-h9b0a68f_105.tar.bz2”h0Œ@856fffc2f280489bb01894714621bde6a3f40a8badd73235a90754ae4ab5dfdb”h2NhNh3Œ&libxcursor-cos7-aarch64 ==1.1.15 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^ø¤›¦hEMe:hFˆubh)”}”(hŒr-highcharter”h#Œ0.9.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-highcharter-0.9.4-r41hc72bb7e_0.tar.bz2”h+Œ 69a3239b9c8adc341c16a7bb4958b37c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-highcharter-0.9.4-r41hc72bb7e_0.tar.bz2”h0Œ@9dccef8a6823178e7d840d4d34bde818b085b0385a1f3d8389446c17215f19f6”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr >=0.7.0”Œr-htmltools”Œr-htmlwidgets”Œr-igraph”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œ
r-quantmod”Œr-rjson”Œr-rlang >=0.1.1”Œr-rlist”Œr-stringr >=1.3.0”Œr-tibble >=1.1”Œr-tidyr”Œr-xts”Œr-yaml”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØt×Š	º^hEJÚµ hFˆubh)”}”(hŒlibice-cos7-ppc64le”h#Œ1.0.9”h%Œha826a6f_103”h'Kghhh(h)hŒ.libice-cos7-ppc64le-1.0.9-ha826a6f_103.tar.bz2”h+Œ 6d69e850e93b8be9312053b082025d90”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libice-cos7-ppc64le-1.0.9-ha826a6f_103.tar.bz2”h0Œ@88bc3f5a9f397d2b9343c4f77c93818b7547b4f937b9b236cb9fe7ecaf2d013b”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÆzúšŸ¾hEJò hFˆubh)”}”(hŒlibxscrnsaver-cos7-aarch64”h#Œ1.2.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libxscrnsaver-cos7-aarch64-1.2.2-h9d98e8f_1104.tar.bz2”h+Œ 5556695d9205c70f5ab0f1572dadd02f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-aarch64-1.2.2-h9d98e8f_1104.tar.bz2”h0Œ@7b218fe920c0952e47a7f5bfe23eb4e3821ed1df5493630ae8f45aeacbdee977”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy2O;dhEMNhFˆubh)”}”(hŒlibnl-cos7-ppc64le”h#Œ1.1.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libnl-cos7-ppc64le-1.1.4-h9b0a68f_105.tar.bz2”h+Œ ee6c4b227cfc38a990f0991b4e6224b9”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-ppc64le-1.1.4-h9b0a68f_105.tar.bz2”h0Œ@6d445b3412cb813064430cdfd1ccade4924484eb3518070bbd72bb6e6fdf8ae2”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@ˆIñ™šhEJd hFˆubh)”}”(hŒr-arm”h#Œ1.13_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-arm-1.13_1-r41hc72bb7e_1.tar.bz2”h+Œ 964748ce025694dd6892cd0537ad78fc”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-arm-1.13_1-r41hc72bb7e_1.tar.bz2”h0Œ@9e03eac60bda169def0e09da3f628c80f202cf9343f806fa48b11ebaed04ce48”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-coda”Œr-hmisc”Œr-lme4 >=1.0”Œr-mass”Œr-matrix >=1.0”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒòK
n˜hEJ hFˆubh)”}”(hŒmesa-libgl-devel-cos7-aarch64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ:mesa-libgl-devel-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ c586eb8d20bc3250381fa9ad73c40fcf”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@b8874adca9349084a2af70f0b9a81b5be1e4d644bbd167999b51b958e752afcf”h2NhNh3Œ+mesa-khr-devel-cos7-aarch64 ==18.3.4 *_1103”Œ'mesa-libgl-cos7-aarch64 ==18.3.4 *_1103”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ34?ïžhEJ… hFˆubh)”}”(hŒr-mlmetrics”h#Œ1.1.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ*r-mlmetrics-1.1.1-r36h6115d3f_1002.tar.bz2”h+Œ 02daa2ac31a957242b635f69b44599bf”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-mlmetrics-1.1.1-r36h6115d3f_1002.tar.bz2”h0Œ@d8679e6afcdbe4f4f10a9931d572fd17fbfae1142e4e37b1eded3b1d998d27a9”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rocr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L!ÏB=qhEJ­W hFˆubh)”}”(hŒseedbank”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#seedbank-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ adaf3db55d5a597fef14accba2833545”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/seedbank-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@5665adc74792bd70643a6c0a82772a810069f253ca4bec69c57e468735a28c00”h2NhNh3Œanyconfig >=0.12”Œnumpy >=1.17”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØl•¢Ót¼hEM4+hFˆubh)”}”(hŒunicorn-binance-suite”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0unicorn-binance-suite-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5aeab4c899738d6b74d43fb2e35c6aa3”h.Œ^https://conda.anaconda.org/conda-forge/noarch/unicorn-binance-suite-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c19c14d5e8738f0429113c411679e1c05fa249a4b66ffe457e9f35e9a3ba42bf”h2NhNh3(Œpython >=3.7”Œ!unicorn-binance-local-depth-cache”Œunicorn-binance-rest-api”Œ"unicorn-binance-trailing-stop-loss”Œunicorn-binance-websocket-api”Œ
unicorn-fy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ—Áxj~úhEM>#hFˆubh)”}”(hŒ
whos-there”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%whos-there-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ c11ab914a1b004261ec78363007395f3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/whos-there-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6ac77209ce52e083770174774e2d805c6bc63fa34425f2b1270c9ea8d73a2ef2”h2NhNh3(Œpython >=3.6”Œ python-telegram-bot >=13.7,<14.0”Œ pytorch-lightning >=1.5.0,<2.0.0”Œrequests >=2.26.0,<3.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØt“ñ)xÕhEMÎ-hFˆubh)”}”(hŒrb-jekyll-remote-theme”h#Œ0.4.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ/rb-jekyll-remote-theme-0.4.0-hc42de5b_0.tar.bz2”h+Œ aedfd94beb6641c51ece225328f2c767”h.Œ]https://conda.anaconda.org/conda-forge/noarch/rb-jekyll-remote-theme-0.4.0-hc42de5b_0.tar.bz2”h0Œ@45124b06efd58188a853cbe01e4aceb3eb423576254eb0ce73c5dbaaab0143ee”h2NhNh3(Œrb-addressable >=2.0,<3”Œrb-jekyll >=3.5,<4”Œrb-rubyzip >=1.2.1,<3.0”Œruby >=2.6.3,<2.7.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ZàèwKÇhEMi7hFˆubh)”}”(hŒmesa-libglapi-cos7-x86_64”h#Œ18.3.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6mesa-libglapi-cos7-x86_64-18.3.4-h9d98e8f_1104.tar.bz2”h+Œ 88674039b45c15519e67233055731943”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-x86_64-18.3.4-h9d98e8f_1104.tar.bz2”h0Œ@7be633a4d9711f8a6ff6d419f24d725085e3976fe6bb08d42d372cda45fd068e”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz€hõÃhEMA³hFˆubh)”}”(hŒpyserial-asyncio”h#Œ0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pyserial-asyncio-0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 6a308892683838de39f6547c83fa4228”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyserial-asyncio-0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@1ee12f60297a874c41daed51a0d79e1cb885cd3a6f5feac9ec9245fad150d8d7”h2NhNh3Œpyserial”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ€î$ÝhEMv,hFˆubh)”}”(hŒ	r-infuser”h#Œ0.2.8”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ(r-infuser-0.2.8-r42hc72bb7e_1005.tar.bz2”h+Œ ecbe8baa423ce8f9d562339b7b41c0e3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-infuser-0.2.8-r42hc72bb7e_1005.tar.bz2”h0Œ@0b5cad34d00727e820186a71e13de1200394934bb4e3d23c218b183cde6818c8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒa“hEM:hFˆubh)”}”(hŒdjango-denied”h#Œ1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&django-denied-1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6347e829b180844f6e0eee0295b66d53”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/django-denied-1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@aed69913b2f17d22b00e731577844b75f581687bf2469ad331e9c32decc005f5”h2NhNh3Œdjango >=3.2”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÅâVhEM.,hFˆubh)”}”(hŒ
r-esquisse”h#Œ1.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-esquisse-1.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 82ebb8f824454deabceb9f913c1457a7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-esquisse-1.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@7c3fb3767c6bedaccc4c1b9daaf2da8b6afc9b40944cfeb9c618751c23a9e90f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-datamods”Œr-ggplot2 >=3.0.0”Œr-htmltools”Œ
r-jsonlite”Œr-rlang >=0.3.1”Œr-rstudioapi”Œr-scales”Œr-shiny >=1.1.0”Œr-shinywidgets >=0.6.0”Œr-styler”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÄ@°ÐA‰hEJ• hFˆubh)”}”(hŒr-shinyfiles”h#Œ0.9.3”h%Œr41ha770c72_0”h'K hhh(h)hŒ(r-shinyfiles-0.9.3-r41ha770c72_0.tar.bz2”h+Œ 2b72c0d8c7f412b69698718f52e5fecc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinyfiles-0.9.3-r41ha770c72_0.tar.bz2”h0Œ@32508fec2f918ee7d6b00545c38ff39a3b35298ea55177298faa0939af9359b2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fs >=1.2.6”Œr-htmltools”Œ
r-jsonlite”Œr-shiny >=1.1.0”Œr-tibble >=1.4.2”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ¿ÿæ˜ÄœhEJí™ hFˆubh)”}”(hŒ
r-heatmap3”h#Œ1.1.9”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-heatmap3-1.1.9-r41hc72bb7e_1.tar.bz2”h+Œ f4c03d00fedeff1e869b2cbeb4364ed6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-heatmap3-1.1.9-r41hc72bb7e_1.tar.bz2”h0Œ@765df3654e323729b411cfe7d090eba71928dc3699fd42ebc59108ff19f89385”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-fastcluster”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒi»¡ËhEJ»ù hFˆubh)”}”(hŒsentinel”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#sentinel-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8936e4f8948bcf823173ed7417c24472”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sentinel-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@52c205a40deea740e24a268b9595890813f4ed128518aca56ee4252fda3f22a0”h2NhNh3Œpoetry”Œpython >=3.6,<4.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ}þûG
=hEMå'hFˆubh)”}”(hŒchemplot”h#Œ1.2.1”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ#chemplot-1.2.1-pyh1a96a4e_0.tar.bz2”h+Œ 923b39771c0c0d510e3038fcac201baf”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/chemplot-1.2.1-pyh1a96a4e_0.tar.bz2”h0Œ@9a79b5bdf8e220fa92bd2fe5bfc2bf1a6062e8781ec091eeaeeba3883d7cebcc”h2NhNh3(Œbokeh >=2.2.3”Œmatplotlib-base 3.3.2”Œmordred >=1.2.0”Œnetworkx >=2.5”Œnumpy >=1.19.2”Œpandas >=1.1.3”Œpython >=3.6”Œrdkit”Œscikit-learn 0.24.2”Œscipy >=1.5.2”Œseaborn 0.11.1”Œumap-learn >=0.5.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÌ´ŒjhEJáþ hFˆubh)”}”(hŒp11-kit-cos6-x86_64”h#Œ0.18.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0p11-kit-cos6-x86_64-0.18.5-h9d98e8f_1104.tar.bz2”h+Œ 9d4ca4135986c0d986eb83e1c1e3df6d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos6-x86_64-0.18.5-h9d98e8f_1104.tar.bz2”h0Œ@fe9f304b695f8091000390755771ca8d1b2ee86f66d31bca16d6156e72e58d82”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉymÒòhEJ\¤ hFˆubh)”}”(hŒr-evmix”h#Œ2.12”h%Œr40h6115d3f_1”h'Khhh(h)hŒ"r-evmix-2.12-r40h6115d3f_1.tar.bz2”h+Œ cbf429c0b29544d7c11751d0e540a18e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-evmix-2.12-r40h6115d3f_1.tar.bz2”h0Œ@43ee0831d3d1151e650abbbe7bb32aaaf84bffa2ef683cfdd05e9758c378ba94”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-gsl”Œr-mass”Œ	r-sparsem”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬Òy™šhEJœLK hFˆubh)”}”(hŒ$_sysroot_linux-64_curr_repodata_hack”h#hÔh%Œha9d2b57_12”h'Khhh(h)hŒ:_sysroot_linux-64_curr_repodata_hack-4-ha9d2b57_12.tar.bz2”h+Œ 3fd29e1090e6cb23be12c5103d3c13e3”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-4-ha9d2b57_12.tar.bz2”h0Œ@736af191ed7b6cee7cdc6e7365154b03507b559e103d88d5ab6c4d8719b36008”h2NhNh3Œ kernel-headers_linux-64 2.6.32.*”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×Ç)<(öhEMëhFˆubh)”}”(hŒr-d3network”h#Œ0.5.2.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-d3network-0.5.2.1-r36h6115d3f_0.tar.bz2”h+Œ 8f0edacb7a042adf32f365ac5b57f76a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-d3network-0.5.2.1-r36h6115d3f_0.tar.bz2”h0Œ@63f947c8a8f2d3bd963c70211aaf1d546a2ee33c385536b50724a55398709658”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-plyr”Œr-rjson”Œ	r-whisker”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×‰å4í‘hEJ'„ hFˆubh)”}”(hŒmkdocs”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!mkdocs-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 58749db4f2cbec8b1658f30f46f1193f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/mkdocs-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d4edafda2f0748105757b2ad04474e4730f9421a157bcbef1c4f5221e3624361”h2NhNh3(Œclick >=3.3”Œghp-import >=1.0”Œimportlib-metadata >=4.3”Œjinja2 >=2.10.2”Œmarkdown >=3.2.1”Œmergedeep >=1.3.4”Œpackaging >=20.5”Œpython >=3.6”Œpyyaml >=3.10”Œpyyaml-env-tag >=0.1”Œwatchdog >=2.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ‘v-›¦hEJQ~3 hFˆubh)”}”(hŒpynvml”h#Œ11.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pynvml-11.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ c2e7773871d1b1ce247ffe19cd128c9f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pynvml-11.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9c9b9a7b6c0832984bb940ed6f022f20eb645a042ae69e16c72e379d42735818”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØl†2{hEMÑŸhFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_2”h'Khhh(h)hŒ fenics-ffc-2019.1.0-py_2.tar.bz2”h+Œ 1b4766de1c797832abb8d0ac361a4d5f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_2.tar.bz2”h0Œ@4ec61947a0522e4f106cefeb3cf9f76b230458d876689dd5dc3080e5cd0b8607”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×>È¿Èå`hEJŠá hFˆubh)”}”(hŒoasis”h#Œ1.0.2”h%Œpyh59e0f4d_0”h'K hhh(h)hŒ oasis-1.0.2-pyh59e0f4d_0.tar.bz2”h+Œ b829e50434b3a63ff9627076297e164d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/oasis-1.0.2-pyh59e0f4d_0.tar.bz2”h0Œ@9ce66eaa8bda7298cb6d2b6624b675922ca315d7ef7dd4d235955bbb6e3c00e2”h2NhNh3Œnumpy”Œpip”Œpython >=2.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ&c¾vÉhEM[ihFˆubh)”}”(hŒ
colcon-ros”h#Œ0.3.23”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&colcon-ros-0.3.23-pyhd8ed1ab_0.tar.bz2”h+Œ 170cfab0dd8884df157a5276d6ec155d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/colcon-ros-0.3.23-pyhd8ed1ab_0.tar.bz2”h0Œ@43ae34e656b010075636e885f7fee83ceaa9592807bb0b48d17cf509f13d4a88”h2NhNh3(Œ
catkin_pkg”Œcolcon-cmake >=0.2.6”Œcolcon-core >=0.3.18”Œcolcon-pkg-config”Œcolcon-python-setup-py”Œcolcon-recursive-crawl”Œpython >=3.5”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ•K9—l‹hEMMVhFˆubh)”}”(hŒ
microbench”h#Œ0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#microbench-0.7-pyhd8ed1ab_0.tar.bz2”h+Œ c8a4cfb76778783d3b9afa1f438b096b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/microbench-0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@123ddccca5b5458be77fdeb96e327148b425ba6ae0145eed88a05d6836ee7244”h2NhNh3Œpython >=2.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ“¥•„9XhEM=hFˆubh)”}”(hŒdtool_s3”h#Œ0.14.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$dtool_s3-0.14.1-pyhd8ed1ab_0.tar.bz2”h+Œ 21f4d4de6d3ea313cd8c3b35e4da0708”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dtool_s3-0.14.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f42692ffea4182b9db58edbb733ec0eab6fc302aef3b243c3615eeabb7fe7e6d”h2NhNh3(Œboto3”Œclick”Œ	dtool_cli”Œ	dtoolcore”Œ	packaging”Œpython >=3.6”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÓ1ûçhEM=hFˆubh)”}”(hŒr-bindr”h#Œ0.1.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-bindr-0.1.1-r41hc72bb7e_1003.tar.bz2”h+Œ c78cb807fda5878607fa4fae386d5ba9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-bindr-0.1.1-r41hc72bb7e_1003.tar.bz2”h0Œ@56d11113b2c7eacd1af3273b9fc455d9a811f24796f86e1e708292f0f2b698d1”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÁbÐåhEMeWhFˆubh)”}”(hŒ	r-rphylip”h#Œ0.1_23”h%Œr36_1003”h'Mëhhh(h)hŒ!r-rphylip-0.1_23-r36_1003.tar.bz2”h+Œ 0ea586e3af691a8ae91cdbbecd7c90b8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rphylip-0.1_23-r36_1003.tar.bz2”h0Œ@cf0976971a796871d6fe0a71e02574adbcf3a6af9796caa75f6a1f16e4a125d4”h2NhNh3Œr-ape >=3.0_10”Œr-base >=3.6,<3.7.0a0”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬@°4IºhEJ¥Š hFˆubh)”}”(hŒr-kaos”h#Œ0.1.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-kaos-0.1.2-r36h6115d3f_0.tar.bz2”h+Œ 84b9e61e3445dff43447b5ac0b4774ad”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-kaos-0.1.2-r36h6115d3f_0.tar.bz2”h0Œ@3e3a845526eb28fba76fddfe5c1352c2c9427a4458148492116ad27b74aabd45”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œ
r-reshape2”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×fÖèšñªhEMt±hFˆubh)”}”(hŒ	r-lmodel2”h#Œ1.7_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-lmodel2-1.7_3-r41hc72bb7e_1.tar.bz2”h+Œ 50107b7aea1314dd8630ef738381c69c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-lmodel2-1.7_3-r41hc72bb7e_1.tar.bz2”h0Œ@240fbf108e70667fc03f73594a615d28a3089d92f25a818f907b769a7e859152”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ&œ‘7LhEJ'x hFˆubh)”}”(hŒr-collateral”h#Œ0.5.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-collateral-0.5.2-r41hc72bb7e_0.tar.bz2”h+Œ 1f1d59ba10abec9fd8b6157a5b6ba784”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-collateral-0.5.2-r41hc72bb7e_0.tar.bz2”h0Œ@98f8c41833fa0f1c63195843f7657dec852b6219eb8fceaebee88fdfab14f8a9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-pillar”Œr-purrr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ]¤£Wl‹hEJ+… hFˆubh)”}”(hŒatomate2”h#Œ0.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#atomate2-0.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 4d031d260be02e4e0e5a8eec41b57424”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/atomate2-0.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@1dab299933aebbad196cd25cf681c6d7438fc24d27897c4dbe7f71c1f7038b6d”h2NhNh3(Œclick”Œcustodian >=2019.8.24”Œjobflow >=0.1.5”Œmonty”Œnumpy”Œpydantic”Œpymatgen >=2019.11.11”Œpython >=3.6”Œpyyaml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ\Ö;33hEJÀL hFˆubh)”}”(hŒr-dataexplorer”h#Œ0.8.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-dataexplorer-0.8.2-r40hc72bb7e_0.tar.bz2”h+Œ 245aa2bf0de694fe535bb9b0bbd081b1”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-dataexplorer-0.8.2-r40hc72bb7e_0.tar.bz2”h0Œ@bc0fefa2961611f5e3abf1a83b2f7d5ec76086d0b721fe17ba2919629716ae87”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table >=1.12.8”Œ	r-ggplot2”Œr-gridextra”Œr-networkd3 >=0.4”Œr-reshape2 >=1.4.3”Œr-rmarkdown >=2.0”Œr-scales >=1.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ö†HyG®hEJúñ& hFˆubh)”}”(hŒ
mongogrant”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%mongogrant-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 14e268978e98d2111552e1b37a0b49c5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mongogrant-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@adf7463287d6f04e58c409158453f187b9c6045c01073e309a30a0ca4939cd5e”h2NhNh3(Œclick”Œflask >=1.0”Œpymongo >=3.8”Œpython >=3.6”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ4åÒÀƒhEMê\hFˆubh)”}”(hŒr-ppls”h#Œ1.6_1.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ'r-ppls-1.6_1.1-r42hc72bb7e_1003.tar.bz2”h+Œ 51b3f0f10151597100de6fa959170e90”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ppls-1.6_1.1-r42hc72bb7e_1003.tar.bz2”h0Œ@b2f47c7cd56e3de22833468bed0aa542449b4bf4f35a41c8675b454630e706ef”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑêohEJè_ hFˆubh)”}”(hŒ
r-rematch2”h#Œ2.1.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-rematch2-2.1.2-r36h6115d3f_1.tar.bz2”h+Œ ce9c3aa34838ec179fd0703123b02392”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r36h6115d3f_1.tar.bz2”h0Œ@eae22e3eff61c85b65a1703f51335d957201ea365a6747fe5152758bc992b331”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-tibble”†”h9hºh@ŒMIT”hBŒMIT”hDGA×«Ó¡ÊJhEMªÐhFˆubh)”}”(hŒkitty-themes”h#Œ1.0.0”h%j3G h'K hhh(h)hŒkitty-themes-1.0.0-0.tar.bz2”h+Œ d14a6dc3d5acb3355ccff146385341b3”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/kitty-themes-1.0.0-0.tar.bz2”h0Œ@0c95c959138aada72225f15f434d5d89152006091db8344d7226de1cd0746e51”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×EJe‹C–hEM'dhFˆubh)”}”(hŒtinycss2”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7234c9eefff659501cd2fe0d2ede4d48”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f0db1a2298a5e10e30f4b947566c7229442834702f549dded40a73ecdea7502d”h2NhNh3Œpython >=3.5”Œwebencodings >=0.4”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÓ«(K÷ÏhEMÃZhFˆubh)”}”(hŒrequests-file”h#Œ1.5.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ(requests-file-1.5.1-pyh9f0ad1d_0.tar.bz2”h+Œ af7c7cf802c7836137545e844866677f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/requests-file-1.5.1-pyh9f0ad1d_0.tar.bz2”h0Œ@708876e6a74193da992b51c2f7f85fafc8d3f35d8a9a2d38b8d6657dd950ad3b”h2NhNh3Œpython”Œrequests >=1.0.0”Œsix”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×¶‡Þ§ðhEMMhFˆubh)”}”(hŒlibsoup-cos7-aarch64”h#Œ2.62.2”h%Œha826a6f_103”h'Kghhh(h)hŒ0libsoup-cos7-aarch64-2.62.2-ha826a6f_103.tar.bz2”h+Œ 1f382148a523c9515032a031cde25dce”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-aarch64-2.62.2-ha826a6f_103.tar.bz2”h0Œ@ddd6cec8faedb57e1913eb456cd41f95f8e02b9c7afd841be606269a58c5140c”h2NhNh3Œ+glib-networking-cos7-aarch64 >=2.38.0 *_103”Œ!glib2-cos7-aarch64 >=2.38.0 *_103”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{OÚMÓhEJXR hFˆubh)”}”(hŒr-trust”h#Œ0.1_8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-trust-0.1_8-r41hc72bb7e_1.tar.bz2”h+Œ 70c5a591b7afab62d0d4b82d9ef94946”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-trust-0.1_8-r41hc72bb7e_1.tar.bz2”h0Œ@3be4eabfef457b58db74edf9d780aee4bc8da9fd41d646513abbcb69c78c9583”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ*â yë…hEJ‹j hFˆubh)”}”(hŒ
r-denoiser”h#Œ1.0.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-denoiser-1.0.2-r41hc72bb7e_2.tar.bz2”h+Œ a6d0a901b4aae5b1fc21edb234a3f19d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-denoiser-1.0.2-r41hc72bb7e_2.tar.bz2”h0Œ@80201b59e7593a8acf7790588f46ecf73c2f5d7b737e09766023a2457f043e8b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-factominer”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓp~+¶FhEJR hFˆubh)”}”(hŒpykml”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒpykml-0.2.0-py_0.tar.bz2”h+Œ 7851bfd96bee5868464a50ee5a076272”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pykml-0.2.0-py_0.tar.bz2”h0Œ@8e71a66ebb7663b79ec14e472450be3bc6857a43af4b2216f1de6c29dda5101b”h2NhNh3Œlxml >=2.2.6”Œ	python <3”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×lÚV¤Ý/hEM$ŠhFˆubh)”}”(hŒr-optimr”h#Œ
2019_12.16”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-optimr-2019_12.16-r36h6115d3f_1.tar.bz2”h+Œ fdebad115e7cb00346b94bf636e864e5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimr-2019_12.16-r36h6115d3f_1.tar.bz2”h0Œ@4c2373b300241fe98d20fbc1c6485d9f579d36754542da72d4f3e8e0e076f9f6”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-numderiv”Œr-optextras”Œr-rcgmin”Œr-rvmmin”Œr-setrng”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬œ§“…hEJj5 hFˆubh)”}”(hŒminimalmodbus”h#Œ1.0.2”h%Œpy_0”h'K hhh(h)hŒ minimalmodbus-1.0.2-py_0.tar.bz2”h+Œ 818f0ae16ea13e82b19490297a947c9d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/minimalmodbus-1.0.2-py_0.tar.bz2”h0Œ@f095262a1c887f97ffc7816b95c16bda5d737f8e3615a7ace087b84382d02c40”h2NhNh3Œpyserial >=3”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×wð‹8r°hEM…ƒhFˆubh)”}”(hŒ	floweaver”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$floweaver-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6b96e6a7f1ee07f079a563a6fe9aa886”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/floweaver-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8548ac3f7ba0efa2d108b3dabb5a90eef1fa6c96f74327d6041f6a70bbbd5217”h2NhNh3(Œattrs”Œnetworkx >=2.0”Œnumpy”Œ
palettable”Œpandas”Œ
python >=3”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ëžëhEM^ahFˆubh)”}”(hŒ	r-missmda”h#Œ1.18”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-missmda-1.18-r36hc72bb7e_0.tar.bz2”h+Œ c511399a5f856b499cb0f8d3fa4904f9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-missmda-1.18-r36hc72bb7e_0.tar.bz2”h0Œ@94d02e6e2872c9f9efe4edbd5d1ded7affce8215c48bd07421e7398739b5903c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-doparallel”Œr-factominer”Œ	r-foreach”Œr-mice”Œ	r-mvtnorm”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ôÜ/üí‘hEJ¼û hFˆubh)”}”(hŒmatbench-genmetrics”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.matbench-genmetrics-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ e2a196d732468528b600f7d12dea023e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/matbench-genmetrics-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f1e6584b39634292068662cf5729c94c461cb620483f0db83463feb0059fd1ca”h2NhNh3(Œimportlib-metadata”Œmatminer”Œmp-time-split”Œpymatgen”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÁ]ãÂn˜hEM VhFˆubh)”}”(hŒtiled-dataframe”h#Œ0.1.0a75”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ+tiled-dataframe-0.1.0a75-hd8ed1ab_0.tar.bz2”h+Œ 191bb2c9c499f2391e3b4f9aba408885”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/tiled-dataframe-0.1.0a75-hd8ed1ab_0.tar.bz2”h0Œ@5d716c84582358c963f881990d91cba808625d0b61270d8a81380aeab2e0e927”h2NhNh3Œpandas”Œpyarrow”Œtiled-array 0.1.0a75 hd8ed1ab_0”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÒq™#Æ¨hEM`hFˆubh)”}”(hŒr-pixmap”h#Œ0.4_12”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ%r-pixmap-0.4_12-r36hc72bb7e_0.tar.bz2”h+Œ 97719e1b711aeee53ef0861e00408926”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pixmap-0.4_12-r36hc72bb7e_0.tar.bz2”h0Œ@40a207d83915ea7ae095f100b62828d61f9a97870d013ec2975a9927b32e905b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ{;ohEJ×» hFˆubh)”}”(hŒr-waffle”h#Œ0.7.0”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ'r-waffle-0.7.0-r41hc72bb7e_1002.tar.bz2”h+Œ 0fccc95ee9cd3c53178156e05122bfd0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waffle-0.7.0-r41hc72bb7e_1002.tar.bz2”h0Œ@7f152d956649a3330d490c2e592982baf21c439769f5da996054fc41bc07a85b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-extrafont”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-gtable”Œr-rcolorbrewer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+°…RñªhEJ$' hFˆubh)”}”(hŒr-rstudioapi”h#Œ0.14”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-rstudioapi-0.14-r40hc72bb7e_0.tar.bz2”h+Œ f0063b46b640daf2a310e8251bffb79d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rstudioapi-0.14-r40hc72bb7e_0.tar.bz2”h0Œ@40e84e5fe934f72e510c9f98c6876d125b96ec0184df5aa994d9038fdf46963f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÁýU/hEJ5¸ hFˆubh)”}”(hŒpixman-devel-cos7-aarch64”h#Œ0.34.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ6pixman-devel-cos7-aarch64-0.34.0-ha826a6f_1103.tar.bz2”h+Œ 45b10b23b82f5bfaa9ac8bda52d51763”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pixman-devel-cos7-aarch64-0.34.0-ha826a6f_1103.tar.bz2”h0Œ@17052034cb8b351cb4e03f2518e5c6eb62569993b1406ee773964d00f050d528”h2NhNh3Œ#pixman-cos7-aarch64 ==0.34.0 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1nN{hEMµ6hFˆubh)”}”(hŒpyhdfe”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pyhdfe-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6e28701277ba871e3a6f8a7f76b8185c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyhdfe-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@64d4632e3dbac2e61a3318461a1083857c720cc888730b1dfa705324f2b1df01”h2NhNh3Œnumpy >=1.17”Œpython >=3.6”Œscipy >=1.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÛó9‹dZhEMôPhFˆubh)”}”(hŒp-tqdm”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!p-tqdm-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ dff020ccc7f545781762ec3095829c47”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/p-tqdm-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2d02d35cb3b810cf7c9b9cfb8b5d3411254b358368e73791c606271abae9158d”h2NhNh3(Œpathos”Œpython >=3.6”Œsix”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÂ§þ÷\)hEMj(hFˆubh)”}”(hŒr-ez”h#Œ4.4_0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ r-ez-4.4_0-r35h6115d3f_0.tar.bz2”h+Œ c6a7f54e77705085838f25c9b27530eb”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ez-4.4_0-r35h6115d3f_0.tar.bz2”h0Œ@5b0f67f2cc8c9ea6c00fd8da3c54b51bc93f66fe9ae30a40a0b25071957d741b”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-car >=2.1_3”Œr-ggplot2 >=2.1.0”Œr-lme4 >=1.1_12”Œr-mass >=7.3_45”Œr-matrix >=1.2_7.1”Œr-mgcv >=1.8_12”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”Œr-scales >=0.4.0”Œr-stringr >=1.1.0”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×U
g9&éhEJR_ hFˆubh)”}”(hŒlibglvnd-egl-cos7-ppc64le”h#Œ1.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libglvnd-egl-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h+Œ c159f1a615fdecfedee6ea68f6cdf1b6”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libglvnd-egl-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h0Œ@5fee2118d031ece39a8e48debb7288e89d39e30ef01ca5aa9e793c346858f71a”h2NhNh3Œ$libglvnd-cos7-ppc64le ==1.0.1 *_1104”Œ(mesa-libegl-cos7-ppc64le >=13.0.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ59b•ÂhEMÇÚhFˆubh)”}”(hŒ
aiida-cusp”h#Œ0.1.0b2”h%Œpy_0”h'K hhh(h)hŒaiida-cusp-0.1.0b2-py_0.tar.bz2”h+Œ 17b6a49e502c59a994b63df4659095c2”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/aiida-cusp-0.1.0b2-py_0.tar.bz2”h0Œ@1e93d6c73c53a0b6b0269eff2e402bb7d03ef51d94f033412442643a0af41413”h2NhNh3(Œaiida-core >=1.3.0,<2.0.0”Œase”Œ	custodian”Œpymatgen”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÌÀÿ hEMYŸhFˆubh)”}”(hŒr-domc”h#Œ1.3.8”h%Œr41ha770c72_0”h'K hhh(h)hŒ"r-domc-1.3.8-r41ha770c72_0.tar.bz2”h+Œ 34c8f7231a78c1cfd15f506a3400f482”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-domc-1.3.8-r41ha770c72_0.tar.bz2”h0Œ@4c9986ec804ec9c8263ce64d65034dda6a54acab2c42ac4ad7e06bfb4974b128”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ|î€´9hEJ(Í hFˆubh)”}”(hŒxmidas”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!xmidas-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ b42f3d394a3de207facc636593d30c12”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/xmidas-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@56f12607dcd95b5eb5d4a64892f834beb5157654313b4ae850f306833bcfe032”h2NhNh3(Œh5py”Œnumpy”Œopencv”Œ	packaging”Œpandas”Œpyqt”Œpyqtgraph >=0.12.2”Œpyshortcuts”Œ
pystackreg”Œpython >=3.7”Œscikit-image”Œscikit-learn”Œscipy >=1.7”Œsilx”Œtifffile”Œxraylarch >=0.9.57”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ—Àz-hEJuz	 hFˆubh)”}”(hŒr-gridextra”h#Œ2.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-gridextra-2.3-r36h6115d3f_1002.tar.bz2”h+Œ 078f29e87ff3d3c2c4af20b70ba24a8d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gridextra-2.3-r36h6115d3f_1002.tar.bz2”h0Œ@2abdfa40a805227c5920e0bb4dbc42a0e89d4b7aee736879156a8b8d461a4683”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-gtable”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×K°‘\“hEJ$Ó hFˆubh)”}”(hŒintake-stac”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&intake-stac-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ d9a48c97623dc88751dbd266b89497e3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/intake-stac-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@255b745a8740aa412b88892e2c583cd9992cd30a01336c1a28ddc5d8fd0d7c46”h2NhNh3(Œfsspec >=0.8.4”Œintake >=0.5.1”Œintake-xarray >=0.4”Œpystac >=1.0”Œpython >=3.8”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ£ÀÃ01'hEM*3hFˆubh)”}”(hŒscine-chemoton”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)scine-chemoton-2.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ a243f62c3a791ba826cc754c47525dc6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/scine-chemoton-2.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2a3b3d962b4f933c244de0ee2ee0a1f6f5d35824ef43b900c3cdbfd1b003d3d6”h2NhNh3(Œnetworkx”Œnumpy”Œpython >=3.6”Œscine-database-python”Œscine-molassembler”Œscine-utilities-python”Œscipy”Œsetproctitle”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØËx×|í‘hEJ0> hFˆubh)”}”(hŒr-tester”h#Œ0.1.7”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ'r-tester-0.1.7-r35h6115d3f_1001.tar.bz2”h+Œ 877df7f7e2f2019a39496dee0465b68e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tester-0.1.7-r35h6115d3f_1001.tar.bz2”h0Œ@5c09e6df9642d3a56449f53c2b4f1dc5cffc5097ab4a3bd539113ffc1218aad4”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L/ÁŒÝ/hEJ¿’ hFˆubh)”}”(hŒr-pmml”h#Œ2.5.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-pmml-2.5.2-r42hc72bb7e_1.tar.bz2”h+Œ cf437e4ce9fadee249b63c5188a07931”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pmml-2.5.2-r42hc72bb7e_1.tar.bz2”h0Œ@ef9fe594af47f54a66b1ebe60fb5407626ba35046922c20389001796e5d67ee6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-stringr”Œr-xml”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ6aU?}hEJJ
 hFˆubh)”}”(hŒmpl_sample_data”h#Œ3.4.3”h%Œpyh44b312d_2”h'Khhh(h)hŒ*mpl_sample_data-3.4.3-pyh44b312d_2.tar.bz2”h+Œ c7ccd81eae500560f3dd41d05a6a5d78”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mpl_sample_data-3.4.3-pyh44b312d_2.tar.bz2”h0Œ@d1fc091a2ae3084cbed6dee72f5ecdbbbe7d52c435c624a57e0ada5a6015e172”h2NhNh3Œ matplotlib-base >=3.4.3,<3.5.0a0”Œpython”†”h9h?h@ŒLicenseRef-PSF-based”hBŒPSF”hDGAØcØÂohEJ"] hFˆubh)”}”(hŒr-rideogram”h#Œ0.2.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-rideogram-0.2.2-r36h6115d3f_1.tar.bz2”h+Œ 2f2fcaf984f94f7b912785feba98d73d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rideogram-0.2.2-r36h6115d3f_1.tar.bz2”h0Œ@8ed6d06e095b4ab30fcd3edca8d883493d111e668e04fe171e1c90e45c56fcb1”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-grimport2”Œr-rsvg”Œr-scales”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA×¬•y•`BhEJu’) hFˆubh)”}”(hŒjson-cfg”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#json-cfg-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ cd175e2b6ec8e6ce45c1793be9ba4c6a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/json-cfg-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c669b6aae7e86d5c0ba3e9f48dfa736bcaaffe6a25c5f8594a2d3f636292a2ab”h2NhNh3Œkwonly-args >=1.0.7”Œpython >=2.6|>=3.3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÿ/hEMÁehFˆubh)”}”(hŒsysroot_linux-aarch64”h#Œ2.17”h%Œh43d7e78_12”h'Khhh(h)hŒ.sysroot_linux-aarch64-2.17-h43d7e78_12.tar.bz2”h+Œ 4fa7f5f039d920e89792c84f4a7a0cc5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-aarch64-2.17-h43d7e78_12.tar.bz2”h0Œ@dfedb615e7390fe58efc8c912996cf2346534decc3ea518fe49cbc3180a1bd99”h2NhNh3Œ/kernel-headers_linux-aarch64 4.18.0 h5b4a56d_12”Œ-_sysroot_linux-aarch64_curr_repodata_hack 4.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ= +33hEJuìhFˆubh)”}”(hŒawkward”h#Œ0.14.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ#awkward-0.14.0-pyhd3deb0d_0.tar.bz2”h+Œ f176af561d4f5174cd65002a6e13de37”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/awkward-0.14.0-pyhd3deb0d_0.tar.bz2”h0Œ@63d880fc2ad324e5beeba176dc0ac92d75cafe85069a92abed23ba840ffd6693”h2NhNh3Œnumpy >=1.13.1”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×èF:áHhEM_øhFˆubh)”}”(hŒr-gpfit”h#Œ1.0_8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-gpfit-1.0_8-r42hc72bb7e_2.tar.bz2”h+Œ e408ab7aa0434ccd22be5f2ef32faba7”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gpfit-1.0_8-r42hc72bb7e_2.tar.bz2”h0Œ@2cd1a301994cc48d28209913a96e34b96822e9c9a0601e0900b36c50385968d8”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lattice >=0.18_8”Œr-lhs >=0.5”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÐ—ý$‹DhEJóc hFˆubh)”}”(hŒ	aniso8601”h#Œ7.0.0”h%Œpy_0”h'K hhh(h)hŒaniso8601-7.0.0-py_0.tar.bz2”h+Œ 02f725382db2cab041f53587fd10838e”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/aniso8601-7.0.0-py_0.tar.bz2”h0Œ@5e8224d2d645528a4cc075267dfcf069e90f2b397c74bb5a3690906a724a95f2”h2NhNh3Œpython”Œpython-dateutil”†”h9h?h@ŒBSD 3-Clause”hDGA×OÜ«Æ¨hEM-{hFˆubh)”}”(hŒhachoir-parser”h#Œ1.3.4”h%Œpy_1”h'Khhh(h)hŒ!hachoir-parser-1.3.4-py_1.tar.bz2”h+Œ ba320aada88774ca9be14915fdc56d54”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/hachoir-parser-1.3.4-py_1.tar.bz2”h0Œ@4cef90794c1028723bd770621409b6be174f4347105cba1cf09dc1050407aadd”h2NhNh3Œhachoir-core”Œ	python <3”†”h9h?h@ŒGPL 2.0”hDGAÖê¡A¬¼jhEJ¨ hFˆubh)”}”(hŒ
importhook”h#Œ1.0.9”h%Œpy_0”h'K hhh(h)hŒimporthook-1.0.9-py_0.tar.bz2”h+Œ ba5b2171858609c78862d64205499ee1”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/importhook-1.0.9-py_0.tar.bz2”h0Œ@2dbda9f391bd923a8964a4c34a483cd184888ab5257eac7dbe49108cea7e53fa”h2NhNh3Œ
python >=3”…”h9h?h@ŒMIT”hBŒMIT”hDGA×»	¤‹DhEM&hFˆubh)”}”(hŒpytest-attrib”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pytest-attrib-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 968c3e99d8526fcfb6cf8355e43f80c1”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pytest-attrib-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@5b51b357abee37d786b6e28aded842c24beaca7617a19e7dabf308f5819de27c”h2NhNh3Œpytest >=2.2”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÒÒñªhEMfhFˆubh)”}”(hŒpyfor”h#Œ0.3.6”h%Œpy_1”h'Khhh(h)hŒpyfor-0.3.6-py_1.tar.bz2”h+Œ 4f344e09296efe0793e9fa711357354e”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pyfor-0.3.6-py_1.tar.bz2”h0Œ@a44d0fbc38e2d38033611f6784dea012efe0f43f26aa6115b91fa7d05114f8f8”h2NhNh3(Œgdal”Œ	geopandas”Œjoblib”Œlaspy”Œlastools”Œlaxpy”Œlibkml”Œmatplotlib-base”Œnumba”Œnumpy”Œpandas”Œplyfile”Œpoppler”Œpython >=3.6”Œrasterio”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯ü«NffhEMˆghFˆubh)”}”(hŒamqp”h#Œ2.6.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒamqp-2.6.1-pyh9f0ad1d_0.tar.bz2”h+Œ 7e007457befb031180f6459921be113b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/amqp-2.6.1-pyh9f0ad1d_0.tar.bz2”•      h0Œ@962fae7a0cd2f434d67a8b4ff729b234e56ebc49464e6bbce7716424c8ea6cc9”h2NhNh3Œpython”Œvine >=1.1.3”†”h9h?h@ŒBSD 3-clause”hBŒBSD”hDGA×ÉÅŒ‚áHhEMÜ¢hFˆubh)”}”(hŒ	flowsaber”h#Œ	0.1.3.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(flowsaber-0.1.3.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ e3401e171ff7a1196b1435d7df3bb195”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flowsaber-0.1.3.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@658d0afdf2d889c0465848af370e7179f38be308c1ac6769bae563a562e491e0”h2NhNh3(Œaiohttp”Œariadne”Œcloudpickle”Œ	dask-core”Œdistributed”Œ	dnspython”Œfire”Œmakefun”Œmotor”Œpsutil”Œpydantic”Œpython >=3.7”Œuvicorn”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¹rsSøhEMèhFˆubh)”}”(hŒprompt-toolkit”h#Œ3.0.32”h%Œpyha770c72_0”h'K hhh(h)hŒ*prompt-toolkit-3.0.32-pyha770c72_0.tar.bz2”h+Œ 3e9740adeebfdffcfb3f1df1564c357c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.32-pyha770c72_0.tar.bz2”h0Œ@603276f093823787393948a0077fbb6a8924aac1505860339edddf97359784f1”h2NhNh3Œpython >=3.6”Œwcwidth”†”h6Œprompt_toolkit 3.0.32”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÙB	4záhEJœ÷ hFˆubh)”}”(hŒr-lim”h#Œ1.4.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-lim-1.4.7-r40hc72bb7e_0.tar.bz2”h+Œ 4fa7a262c3f980a66c1a23cbd458f280”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lim-1.4.7-r40hc72bb7e_0.tar.bz2”h0Œ@ce89419e69e6d886eb506da29de0bdd74f288bc98c0c2384a0fde5ec782dbb7f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-diagram”Œ
r-limsolve”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØžêò5?hEJmÙ hFˆubh)”}”(hŒr-graphtweets”h#Œ0.5.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-graphtweets-0.5.3-r36h6115d3f_1.tar.bz2”h+Œ 984fb3651037ebd2073616e5116a237e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-graphtweets-0.5.3-r36h6115d3f_1.tar.bz2”h0Œ@18178c4a1dabfe280238ffb42a542a3e213308a20ee6ec21d49d5c960cbb98c8”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-combinat”Œr-dplyr”Œr-igraph”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬À²7\)hEJÅÄ hFˆubh)”}”(hŒr-gclus”h#Œ1.3.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ#r-gclus-1.3.2-r36h6115d3f_1.tar.bz2”h+Œ 75f2937a16e936cf26bdd5a5ebeb1aeb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gclus-1.3.2-r36h6115d3f_1.tar.bz2”h0Œ@9799827234ad1aab2f7adcac1e144d0c51edb1ce3ca59e584634376f99e2c939”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÊéyhEJþÆ hFˆubh)”}”(hŒaospy”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ aospy-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ b111c73711b099de56ca42463271449b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/aospy-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7d87f9a23612ea02f344a67d771fc99ca9765234605f6004700ff32f202cac8b”h2NhNh3(Œcftime >=1.0.0”Œcloudpickle >=0.2.1”Œdask-core >=0.14”Œdistributed >=1.17.1”Œnetcdf4 >=1.2”Œnumpy >=1.7”Œpandas >=0.15.0”Œpython >=3.6”Œscipy >=0.16”Œtoolz >=0.7.2”Œxarray >=0.10.6”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØd¯£¡™šhEJK€0 hFˆubh)”}”(hŒsplot”h#Œ1.1.5.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&splot-1.1.5.post1-pyhd8ed1ab_0.tar.bz2”h+Œ 5aab1536d8f982fe6db0a907fd5c6ca8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/splot-1.1.5.post1-pyhd8ed1ab_0.tar.bz2”h0Œ@ec91546542dd5701dc3630e991f6e50249d84eb03814990a74de53f3e1597a9b”h2NhNh3(Œ	descartes”Œesda”Œgeopandas >=0.4.0”Œgiddy”Œ
ipywidgets”Œlibpysal”Œmapclassify”Œmatplotlib-base”Œnumpy”Œ
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six >=1.10”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~Ôº=qhEJ¡H hFˆubh)”}”(hŒlibxcomposite-cos7-ppc64le”h#Œ0.4.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6libxcomposite-cos7-ppc64le-0.4.4-hdf0574f_1102.tar.bz2”h+Œ 47e654720caa0831a62e285be503de65”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-cos7-ppc64le-0.4.4-hdf0574f_1102.tar.bz2”h0Œ@bb09cfb912330eb5d06a71133b1b226af15683f273d7bb63e4f3bbb30571308d”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´°‰7LhEMÀGhFˆubh)”}”(hŒat-spi-cos7-x86_64”h#Œ1.32.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/at-spi-cos7-x86_64-1.32.0-hdf0574f_1102.tar.bz2”h+Œ f7f928ec94fd41adbaead8e39823fc8f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-x86_64-1.32.0-hdf0574f_1102.tar.bz2”h0Œ@0a1027bc99c4d22881e3131642c232506ec450d6ae000812febeada08537ba2a”h2NhNh3(Œatk-cos7-x86_64 >=1.29.2 *_1102”Œ gtk2-cos7-x86_64 >=2.10.0 *_1102”Œ!gtk2-cos7-x86_64 >=2.24.31 *_1102”Œ$libbonobo-cos7-x86_64 >=2.4.0 *_1102”Œ!orbit2-cos7-x86_64 >=2.6.0 *_1102”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅiõöVhEJ‰' hFˆubh)”}”(hŒlibxxf86vm-devel-cos7-aarch64”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ8libxxf86vm-devel-cos7-aarch64-1.1.4-ha826a6f_103.tar.bz2”h+Œ f92a7d3b28cdd5f3f104affecff26dde”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-aarch64-1.1.4-ha826a6f_103.tar.bz2”h0Œ@c5349f84b456141cca70c5d382d4c2be401012fe4bcbe1f4ce5f8a62ba1c7c46”h2NhNh3Œ%libxxf86vm-cos7-aarch64 ==1.1.4 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2]hEM`0hFˆubh)”}”(hŒdask-xgboost”h#Œ0.1.11”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ(dask-xgboost-0.1.11-pyh9f0ad1d_1.tar.bz2”h+Œ d6a9aa0b721e189d5dc39ffc56d5d2f2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/dask-xgboost-0.1.11-pyh9f0ad1d_1.tar.bz2”h0Œ@9e6535fee1f6fcec687eb40e9b1ee768b2da9b73a493f1fae22308fd52f6db73”h2NhNh3(Œdask >=0.14.0”Œdistributed >=1.16.0”Œpython”Œxgboost <=0.90”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Ñï°ƒhEM1<hFˆubh)”}”(hŒpytest-tornado”h#Œ2.0.0”h%Œpyh1a96a4e_1”h'Khhh(h)hŒ)pytest-tornado-2.0.0-pyh1a96a4e_1.tar.bz2”h+Œ 3bc20f15efdc05d4e710485a4e640ffb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytest-tornado-2.0.0-pyh1a96a4e_1.tar.bz2”h0Œ@ce9752e728accf6c984fdfb9b16d787c4dd1aba3211c4e799aa6f252c00aaf12”h2NhNh3Œ"pytest-tornado5 2.0.0 pyh1a96a4e_1”Œpython”†”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAØô}ìÌÍhEM¹ hFˆubh)”}”(hŒr-bazar”h#Œ1.0.11”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-bazar-1.0.11-r40hc72bb7e_1.tar.bz2”h+Œ a758a3faa7ca529dfdbcd6477803c741”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bazar-1.0.11-r40hc72bb7e_1.tar.bz2”h0Œ@6ec622e4d158af62d88851a3ecc149d3a2d3f85aed672e7bfcb69fb8755acc6b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-kimisc”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+Lø«hEJN hFˆubh)”}”(hŒccc”h#Œ1.2.11”h%Œpyh6c4a22f_0”h'K hhh(h)hŒccc-1.2.11-pyh6c4a22f_0.tar.bz2”h+Œ 605a9deda123996318b7e92f038fd6ff”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ccc-1.2.11-pyh6c4a22f_0.tar.bz2”h0Œ@62a8697ff1c35e6f0db48c33227909f24223e4ad039a20267d1dc0d0b5ca86d0”h2NhNh3(Œbokeh >=1.4.0”Œparamtools >=0.18.0”Œpython >=3.6”Œtaxcalc >=3.1.0”t”h9h?h@ŒCC0-1.0”hBŒPUBLIC-DOMAIN”hDGAØ·¬Î¯ïžhEJ« hFˆubh)”}”(hŒr-gridextra”h#Œ2.3”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ(r-gridextra-2.3-r40hc72bb7e_1003.tar.bz2”h+Œ a358488c926bd5975ededa8e9c9d611e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gridextra-2.3-r40hc72bb7e_1003.tar.bz2”h0Œ@b50ba641a19f771a9bd4e2d89fba13046055d4fc058a1ddf51e5d3fa1ce50fab”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-gtable”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*æòß\)hEJ?Ò hFˆubh)”}”(hŒ	r-session”h#Œ1.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-session-1.0.3-r42hc72bb7e_1.tar.bz2”h+Œ fff25f0435ea6c34e01f2e471b07f4c7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-session-1.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@436e9bfc88caf342eb161cb5c5e254d6dd09971af114e8e0602e43d9f0429fe4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ˜¡XhEM]{hFˆubh)”}”(hŒ
r-sinaplot”h#Œ1.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-sinaplot-1.1.0-r40hc72bb7e_1.tar.bz2”h+Œ aa5c8464d130c86a388eab6e7b6be1ce”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sinaplot-1.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@c950986aaaf9ccb4eca4957d0dcca4f46577b11250ada941a37387005388530b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-plyr >=1.8.4”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+Ú0bhEJI hFˆubh)”}”(hŒstomp.py”h#Œ8.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#stomp.py-8.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5a6ba76539e4a5160aeb881fcb6208cd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/stomp.py-8.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a7983bee65d0cae3e2343beef21c6c3d3ce01e85f6225307cfe592a6ddae284c”h2NhNh3Œdocopt >=0.6.2,<0.7.0”Œpython >=3.6,<4.0”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ›Àa&éhEMThFˆubh)”}”(hŒnss-softokn-freebl-cos7-aarch64”h#Œ3.44.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ<nss-softokn-freebl-cos7-aarch64-3.44.0-hdf0574f_1102.tar.bz2”h+Œ 1d56577cf45b376c9f1d0d10e34298c0”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-aarch64-3.44.0-hdf0574f_1102.tar.bz2”h0Œ@3798881be2c12731e127e32f67d58a2c5ce6cf1564da2642885542569adec165”h2NhNh3Œ!nspr-cos7-aarch64 >=4.21.0 *_1102”Œ%nss-util-cos7-aarch64 >=3.44.0 *_1102”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å,^v$ÝhEJj hFˆubh)”}”(hŒ	dask-core”h#Œ2022.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dask-core-2022.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ d8410c1ab31b3f5196e0cff0125779c1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dask-core-2022.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7985afd3800b81ac6adb5d1f1b77c3d818898acbea71af16adfd1432d921956e”h2NhNh3(Œcloudpickle >=1.1.1”Œfsspec >=0.6.0”Œpackaging >=20.0”Œpartd >=0.3.10”Œpython >=3.7”Œpyyaml >=5.3.1”Œtoolz >=0.8.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ©®r=qhEJfŒ hFˆubh)”}”(hŒr-ezcox”h#Œ1.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-ezcox-1.0.2-r41hc72bb7e_1.tar.bz2”h+Œ 7714cba17f3d61f1d4d56eaf0d42322d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ezcox-1.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@410a44967be9e2266573175fdd99eff5c89e4b2e3ac7b353d889a24b5c4a0344”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.8.3”Œr-forestmodel”Œ	r-ggplot2”Œr-magrittr >=1.5”Œr-purrr >=0.3.2”Œr-rlang >=0.1.2”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ°ì×
hEJ€Ã
 hFˆubh)”}”(hŒ	r-missmda”h#Œ1.18”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-missmda-1.18-r41hc72bb7e_1.tar.bz2”h+Œ 4dc8e295a18bce6a8a522c43498d70fa”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-missmda-1.18-r41hc72bb7e_1.tar.bz2”h0Œ@2455a4a778d3fcb1fe378db6ca2f6f62015e01e3ffd0b3260866dd90f1230f9c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œr-factominer”Œ	r-foreach”Œr-mice”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÓiG¤IºhEJZû hFˆubh)”}”(hŒr-randomcolor”h#Œ1.1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-randomcolor-1.1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 5a454fe09f45a47c3f0b092dae265ad2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-randomcolor-1.1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@17eef514eb0ba418acaf15bc5eda6d2a08bd1a20ef1f5bcea65b2155d1d0554d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-colorspace”Œr-rtsne”Œr-scales”Œ	r-stringr”Œr-v8”t”h9hºh@ŒCC0”hBŒCC”hDGAØ*ÿš°!hEMK‰hFˆubh)”}”(hŒ	r-mapedit”h#Œ0.6.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-mapedit-0.6.0-r36h6115d3f_1.tar.bz2”h+Œ 36c49e3b521d264376c80e0c24e2d3c2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mapedit-0.6.0-r36h6115d3f_1.tar.bz2”h0Œ@8a3cfd7a5355c0a67d86b586653ed16177b2c299699bbe0310eee2d18586b95c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-leaflet.extras >=1.0”Œr-leafpm”Œ	r-mapview”Œr-miniui”Œr-sf >=0.5_2”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬±d[çmhEJŸò hFˆubh)”}”(hŒdash-coreui-components”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒ)dash-coreui-components-0.1.0-py_0.tar.bz2”h+Œ 12a28e855aaa7f9a87f6df3b418e0f4b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/dash-coreui-components-0.1.0-py_0.tar.bz2”h0Œ@e31731fee25bc9caf1acf6452d1b8c0df1e6b615055a26ebe13adf037fd0161f”h2NhNh3Œdash >=1.0.0”Œ!dash-bootstrap-components >=0.7.2”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×póÉÝOßhEJ9 hFˆubh)”}”(hŒchaospy”h#Œ3.3.8”h%Œpy_0”h'K hhh(h)hŒchaospy-3.3.8-py_0.tar.bz2”h+Œ 34d55f3618c297caf40cb92d1d048923”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/chaospy-3.3.8-py_0.tar.bz2”h0Œ@2b83cb8ecbcb659cdbe034302b5edfe170978ba49edb6fcc47bf98e597166b04”h2NhNh3(Œnetworkx”Œnumpoly”Œnumpy”Œpython >=3.5”Œscikit-learn”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÌE"yXhEJÂ  hFˆubh)”}”(hŒr-irace”h#Œ3.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ!r-irace-3.3-r36h6115d3f_0.tar.bz2”h+Œ 239ec51557cf9d03d564ffe77cc38ac4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-irace-3.3-r36h6115d3f_0.tar.bz2”h0Œ@100dba77fb980926cb7d4662cfae50ba59bb922b0912b6705272452ce5dc6e76”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×MÉ¯€å`hEJ/º hFˆubh)”}”(hŒsysroot-cos7-ppc64le”h#Œ2.17”h%Œ
hbe0c576_9”h'K	hhh(h)hŒ,sysroot-cos7-ppc64le-2.17-hbe0c576_9.tar.bz2”h+Œ 42241ccc0933bd0732dd93fb5130c8b5”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-ppc64le-2.17-hbe0c576_9.tar.bz2”h0Œ@96d3acb5e51f84d8d35de97c67af454653429ed95a189198a5f1a679f66f5361”h2NhNh3Œsysroot_linux-ppc64le 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×Ç(³"ÑhEMÕhFˆubh)”}”(hŒ
r-tableone”h#Œ0.13.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-tableone-0.13.2-r40hc72bb7e_0.tar.bz2”h+Œ 9331f50fe0c2d5195810e020076fb26d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tableone-0.13.2-r40hc72bb7e_0.tar.bz2”h0Œ@d639278b47f1bc02635c023cea9c958d4e4c09dc63ffea5ac22bc662129fd2ca”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-e1071”Œ	r-gmodels”Œ
r-labelled”Œr-mass”Œr-nlme”Œr-survey”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¸œ[ÒÀƒhEJ> hFˆubh)”}”(hŒopencensus-proto”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+opencensus-proto-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ ba283f47e8106917d31d2a7d8d348296”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/opencensus-proto-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@11fa5b7d6dbe0e5a0f38a03c3f894b8830b31a2ddd505ebea8384619a70b2057”h2NhNh3Œgrpcio >=1.0.0,<2.0.0”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØOàŸ©xÕhEM`hFˆubh)”}”(hŒpao”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpao-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0e6b1511081fe31898d9e94c4f860549”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pao-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@4960fedfc0c4f1494c21fd7b75f781aff265ac8a927ce7b6c811e2ac5975a2b0”h2NhNh3(Œmunch”Œpyomo”Œpython >=3.7”Œpyutilib”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ;vgòáHhEMóúhFˆubh)”}”(hŒr-plasmidprofiler”h#Œ0.1.6”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ0r-plasmidprofiler-0.1.6-r36h6115d3f_1002.tar.bz2”h+Œ e14780bbc7af752a7bb9a80acccadbd8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-plasmidprofiler-0.1.6-r36h6115d3f_1002.tar.bz2”h0Œ@e62c4d0b535fe7170baed000af39a3a230e7852404c6dd87cf1c519740c3d9e7”h2NhNh3(Œr-ape”Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-gdata”Œ
r-ggdendro”Œ	r-ggplot2”Œr-gridextra”Œr-gtable”Œr-htmlwidgets”Œ
r-magrittr”Œr-plotly”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”Œ	r-stringr”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×¬œEm?}hEJ;¯ hFˆubh)”}”(hŒpciutils-devel-cos7-x86_64”h#Œ3.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6pciutils-devel-cos7-x86_64-3.5.1-h9d98e8f_1104.tar.bz2”h+Œ f0421d624846b5c33499d5e1cbf7a8ec”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-x86_64-3.5.1-h9d98e8f_1104.tar.bz2”h0Œ@1440a8ba159063dd1bda7087f4957d06c32e1df1fcc2c1decb115e5b9e4d926f”h2NhNh3Œ#pciutils-cos7-x86_64 ==3.5.1 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×É}ÂÚ¬hEM™yhFˆubh)”}”(hŒr-tidygeocoder”h#Œ1.0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-tidygeocoder-1.0.5-r41hc72bb7e_1.tar.bz2”h+Œ 38f6e657af49741b44044aaa1549d921”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-tidygeocoder-1.0.5-r41hc72bb7e_1.tar.bz2”h0Œ@50246235d6b4540d6485c5e5b612c983568389296963875200804fe3243b382c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-lifecycle”Œ
r-progress”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ÷Qup¤hEJÇÄ hFˆubh)”}”(hŒr-datapasta”h#Œ3.1.0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ'r-datapasta-3.1.0-r40h6115d3f_0.tar.bz2”h+Œ 94367a1e0f45ac5f6c0f61cd558d345a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-datapasta-3.1.0-r40h6115d3f_0.tar.bz2”h0Œ@a5f80c55df52cd313e23402f22f3277253358bb82d8ef5cfc98118d269a33256”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-clipr >=0.3.0”Œr-readr >=1.2.0”Œr-rstudioapi >=0.6”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ç™¶$ÝhEJ·Ë
 hFˆubh)”}”(hŒr-rpmm”h#Œ1.25”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ$r-rpmm-1.25-r36h6115d3f_1001.tar.bz2”h+Œ 196a17d878224b3b3fb9d5a26001dd22”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rpmm-1.25-r36h6115d3f_1001.tar.bz2”h0Œ@a55ab7d3c815888b53520fc6c31cfbe431f97028cce8c3460a5fa341db3b0217”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LªÍl¬hEJÎ hFˆubh)”}”(hŒcolcon-devtools”h#Œ0.2.2”h%Œpy_0”h'K hhh(h)hŒ"colcon-devtools-0.2.2-py_0.tar.bz2”h+Œ 7c80296e2959a7d07f6010bf6ae3c4ea”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/colcon-devtools-0.2.2-py_0.tar.bz2”h0Œ@3b7ca3f5bd63c8330d22477ba146779eadae84ef8dda26c08b69cfffa5e9d613”h2NhNh3Œcolcon-core”Œpython >=3.5”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×j9?FVhEMà.hFˆubh)”}”(hŒr-xtable”h#Œ1.8_4”h%Œr36h6115d3f_2”h'Khhh(h)hŒ$r-xtable-1.8_4-r36h6115d3f_2.tar.bz2”h+Œ bceff7322d47af45062ea552ebe90794”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-xtable-1.8_4-r36h6115d3f_2.tar.bz2”h0Œ@227722d7ad016ad974281673a0ca97622efa2e09f6d2d11edde9301a50fbd670”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×P.‹t¼hEJëê
 hFˆubh)”}”(hŒlibibmad-devel-cos7-aarch64”h#Œ1.3.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8libibmad-devel-cos7-aarch64-1.3.13-h9b0a68f_1105.tar.bz2”h+Œ 9d60a0cb9fcee6a3b0d9338a9cbac269”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libibmad-devel-cos7-aarch64-1.3.13-h9b0a68f_1105.tar.bz2”h0Œ@fee1d02714d2f2f72f779b6cdf72bd4c9f979c27d9dfb69369fd8d9bf4557b83”h2NhNh3Œ%libibmad-cos7-aarch64 ==1.3.13 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ´ /ahshEM©ZhFˆubh)”}”(hŒr-rapiclient”h#Œ0.1.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-rapiclient-0.1.3-r41hc72bb7e_2.tar.bz2”h+Œ bba64d92db075f492e857948f9f51045”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rapiclient-0.1.3-r41hc72bb7e_2.tar.bz2”h0Œ@d1d48f494c88e61a6ea3a6fb453a4173f6b480fd4a9543726291095f8b74ee7e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
r-jsonlite”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ/|•hEJ™D hFˆubh)”}”(hŒr-expsmooth”h#Œ2.3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-expsmooth-2.3-r41hc72bb7e_1003.tar.bz2”h+Œ 49e58d19e431b0f4cd3e7f215eeff62f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-expsmooth-2.3-r41hc72bb7e_1003.tar.bz2”h0Œ@c038f0e3cf181bab959cf14b6df6bd3c2eeb23348ca8bff26fd3e5ac5a9e7823”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-forecast”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ±€  hEJG® hFˆubh)”}”(hŒholoplot”h#Œ0.0.4”h%Œpy_0”h'K hhh(h)hŒholoplot-0.0.4-py_0.tar.bz2”h+Œ 9e7f528025762197b3010bbfb6cda3b4”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/holoplot-0.0.4-py_0.tar.bz2”h0Œ@838e27086cce39611d3c74d6c3718f9191966f9d069b06da38d42e72558851dd”h2NhNh3(Œbokeh >=0.12.15”Œholoviews >=1.10.4”Œpandas”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖË\ûçmhEJ\N hFˆubh)”}”(hŒxcb-util-renderutil-cos6-x86_64”h#Œ0.3.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ:xcb-util-renderutil-cos6-x86_64-0.3.9-h9b0a68f_105.tar.bz2”h+Œ 2c6d46ddbb1fff19cc5eaa9496150ffd”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-cos6-x86_64-0.3.9-h9b0a68f_105.tar.bz2”h0Œ@b8deaafec01c50634e826e280cb272ca0213b1ded7547f9bec2dcfac7c5370fe”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØu#q¼jhEMT1hFˆubh)”}”(hŒr-turner”h#Œ0.1.7”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ'r-turner-0.1.7-r40hc72bb7e_1002.tar.bz2”h+Œ d857e51dc9cb420fc93d699adb262f75”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-turner-0.1.7-r40hc72bb7e_1002.tar.bz2”h0Œ@628274c957a31dd4884565ae64fa3a7e1db33abcd9471829748025b41857454f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-tester”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ*úµr-hEJkš hFˆubh)”}”(hŒmpl_sample_data”h#Œ3.4.3”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ*mpl_sample_data-3.4.3-pyh6c4a22f_0.tar.bz2”h+Œ d786f696a6165de061138164cb652960”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mpl_sample_data-3.4.3-pyh6c4a22f_0.tar.bz2”h0Œ@c82be568c6889497cde72e621f211d7919947744a97ba23581a038256d253bf0”h2NhNh3Œ matplotlib-base >=3.4.3,<3.5.0a0”Œpython”†”h9h?h@ŒLicenseRef-PSF-based”hBŒPSF”hDGAØE±/¢~úhEJø] hFˆubh)”}”(hŒlibxfixes-devel-cos6-x86_64”h#Œ5.0.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7libxfixes-devel-cos6-x86_64-5.0.3-h9b0a68f_1105.tar.bz2”h+Œ b3caa74410a2631ba1de8950f75795aa”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos6-x86_64-5.0.3-h9b0a68f_1105.tar.bz2”h0Œ@71e5e558269ac39cadfc976796f5b2696140488c43824a6fdc0d120fa9eefe59”h2NhNh3Œ$libxfixes-cos6-x86_64 ==5.0.3 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^{³SøhEMë&hFˆubh)”}”(hŒlibxdamage-cos6-x86_64”h#Œ1.1.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libxdamage-cos6-x86_64-1.1.3-h9d98e8f_1104.tar.bz2”h+Œ 2e20c16a9c5194eae4d30c6c1e27b824”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos6-x86_64-1.1.3-h9d98e8f_1104.tar.bz2”h0Œ@ce02b0d20b58aaefccebf88fa95af72a3dc5dadfdf20df655cb832c98bbb909b”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Ézˆ•ÂhEM;hFˆubh)”}”(hŒ	r-metrics”h#Œ0.1.4”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ)r-metrics-0.1.4-r351h6115d3f_1000.tar.bz2”h+Œ 6a76bc741578786ae4ce6bb830ee2e02”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-metrics-0.1.4-r351h6115d3f_1000.tar.bz2”h0Œ@eb917bff0a4b4a51e241b6f3b910880d5ca2ba1c961f63aaa65235d64bde856a”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAÖÿ¸ûhEJÉW hFˆubh)”}”(hŒsysroot_linux-ppc64le”h#Œ2.17”h%Œh395ec9b_11”h'Khhh(h)hŒ.sysroot_linux-ppc64le-2.17-h395ec9b_11.tar.bz2”h+Œ 68fdce4ae52a223205c65d117137a94d”h.Œ\https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-ppc64le-2.17-h395ec9b_11.tar.bz2”h0Œ@6016874c571974467f32727f2ff16eb55835e4c5e4b5c29053421e079a4db47f”h2NhNh3Œ/kernel-headers_linux-ppc64le 3.10.0 h23d7e6c_11”Œ-_sysroot_linux-ppc64le_curr_repodata_hack 4.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ< DòáHhEJ›hFˆubh)”}”(hŒ	r-ensurer”h#Œ1.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ&r-ensurer-1.1-r42hc72bb7e_1004.tar.bz2”h+Œ e9a500b3219bed6eb234d1bd6f51d4f7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ensurer-1.1-r42hc72bb7e_1004.tar.bz2”h0Œ@45d2c02b9ae4704501db5953ad790678407a201e0e218365cc4a497556ebb951”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ„Ö•hEM#ÍhFˆubh)”}”(hŒlibuuid-cos7-aarch64”h#Œ2.23.2”h%Œha826a6f_103”h'Kghhh(h)hŒ0libuuid-cos7-aarch64-2.23.2-ha826a6f_103.tar.bz2”h+Œ 2127935a007358c8aa844c34c24910a4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-aarch64-2.23.2-ha826a6f_103.tar.bz2”h0Œ@b3a27d3561016b9ad287e96423c118c0ac71d00ae2f1a5d509d305d6b885fb15”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ{!ÈÄœhEM:hFˆubh)”}”(hŒclint”h#Œ0.5.1”h%Œpy_1”h'Khhh(h)hŒclint-0.5.1-py_1.tar.bz2”h+Œ d13704bed3b991487ca841df7b5656dd”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/clint-0.5.1-py_1.tar.bz2”h0Œ@d7fdbce78ec9efbc93716929c41c58ec9304ece4a1f45af240da8a1f01746514”h2NhNh3Œargs”Œpython”†”h9h?h@ŒISC”hDGAÖÐË,Œ›¦hEM0ghFˆubh)”}”(hŒr-climate4r.datasets”h#Œ0.0.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ0r-climate4r.datasets-0.0.1-r40ha770c72_0.tar.bz2”h+Œ 8ef6b56d0a7e59b641fc09e2ade3f5c5”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-climate4r.datasets-0.0.1-r40ha770c72_0.tar.bz2”h0Œ@e464e8204f123f55de245d9bd96551a170daae1849af45110b6c42031d387d7c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ¡,²c¶FhEJ;/shFˆubh)”}”(hŒp11-kit-cos7-aarch64”h#Œ0.23.5”h%Œha826a6f_103”h'Kghhh(h)hŒ0p11-kit-cos7-aarch64-0.23.5-ha826a6f_103.tar.bz2”h+Œ 1262e8db3df207cc4674b2761c340777”h.Œ^https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-aarch64-0.23.5-ha826a6f_103.tar.bz2”h0Œ@71a66dc5be568f4a7339f55f50da057bb7322786f3f0b4516593660a7cdb6d0b”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/mhEJ5Ò hFˆubh)”}”(hŒcopulae”h#Œ0.3.1”h%Œpy_0”h'K hhh(h)hŒcopulae-0.3.1-py_0.tar.bz2”h+Œ 8f7ab10cc4124fdde36d3ac829e8a2f9”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/copulae-0.3.1-py_0.tar.bz2”h0Œ@8e207849197bae082030fdfb7d23834e673903dcf9a3e86b716000ef64e43515”h2NhNh3(Œnumba >=0.43”Œnumpy >=1.15”Œpandas >=0.23”Œpython >=3.6”Œscipy >=1.1”Œstatsmodels >=0.9”t”h9h?h@ŒMIT”hBŒMIT”hDGA×+rDt¬hEJÚ) hFˆubh)”}”(hŒr-bpca”h#Œ1.3_4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-bpca-1.3_4-r42hc72bb7e_1.tar.bz2”h+Œ 8a5106ea694270aa5d6d6344ca480ca5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bpca-1.3_4-r42hc72bb7e_1.tar.bz2”h0Œ@350fafc7cd60dd6a8e24feb09ecce6657a3541d8e26dd9da2cb72da114994fb3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-rgl”Œr-scatterplot3d”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ»ÊŽ—hEJhP hFˆubh)”}”(hŒr-coveffectsplot”h#Œ1.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-coveffectsplot-1.0.2-r41hc72bb7e_1.tar.bz2”h+Œ 32b54165574b34004055ff364af1921a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-coveffectsplot-1.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@2165b3743794c7955b2771655c1318f3f20ac18d2bbc3f70235ec60f23507f7f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colourpicker”Œr-data.table >=1.9.8”Œr-dplyr”Œr-egg”Œr-ggplot2 >=3.3.2”Œ
r-markdown”Œr-shiny”Œ	r-shinyjs”Œr-shinymeta”Œr-table1”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ“ip£×hEJÞ¯$ hFˆubh)”}”(hŒlibuuid-devel-cos7-aarch64”h#Œ2.23.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libuuid-devel-cos7-aarch64-2.23.2-h9b0a68f_105.tar.bz2”h+Œ 217a3fb7a2f7181c42be2829e9cad27e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-aarch64-2.23.2-h9b0a68f_105.tar.bz2”h0Œ@12afcbd1db7c5ac0720c8aa8485595f74932d967b6f3720c83eddd3301bd9364”h2NhNh3Œ#libuuid-cos7-aarch64 ==2.23.2 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@X†kSøhEMYhFˆubh)”}”(hŒ
r-conicfit”h#Œ1.0.4”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ)r-conicfit-1.0.4-r41ha770c72_1002.tar.bz2”h+Œ 1cd6718f33194c198cd0a6a2d6e27880”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-conicfit-1.0.4-r41ha770c72_1002.tar.bz2”h0Œ@0f1369fa3769fca6b56c05108fabbab666379c49c3f94ba2e432e3516db2fe7a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-geigen”Œr-pracma”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ+,3X  hEJªŸ hFˆubh)”}”(hŒ
r-varselrf”h#Œ0.7_8”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ)r-varselrf-0.7_8-r35h6115d3f_1001.tar.bz2”h+Œ 560b12bc4bdb7ad2a671a4bb362d7286”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varselrf-0.7_8-r35h6115d3f_1001.tar.bz2”h0Œ@8423a62a1055c62dff7b30380f6afb9eef37d16115bda6b69ecbf5b06885767a”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-randomforest”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LœõÒòhEJì hFˆubh)”}”(hŒr-celestial”h#Œ1.4.6”h%Œr40h6115d3f_2”h'Khhh(h)hŒ'r-celestial-1.4.6-r40h6115d3f_2.tar.bz2”h+Œ 8b6af93cc72a044411435ae141f46ef6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-celestial-1.4.6-r40h6115d3f_2.tar.bz2”h0Œ@d682f1b27dc0732512335fc6c879a1cb2a4ab220c9b983e1ffa4e0773556a0e7”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-nistunits”Œr-pracma”Œr-rann”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬Í	&éhEJ-à hFˆubh)”}”(hŒr-redshifttools”h#Œ1.0.1”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ+r-redshifttools-1.0.1-r40hc72bb7e_2.tar.bz2”h+Œ 988a2ae1c12199835c7d7416f4faa971”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-redshifttools-1.0.1-r40hc72bb7e_2.tar.bz2”h0Œ@30e0bee771852b674ac2382f22ee78d30166dcf831ae629f1a2f6b0093401e2e”h2NhNh3(Œr-aws.s3”Œr-base >=4.0,<4.1.0a0”Œr-dbi”Œ
r-progress”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+S(OßhEMãhFˆubh)”}”(hŒlibselinux-cos7-ppc64le”h#Œ2.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ1libselinux-cos7-ppc64le-2.5-hdf0574f_1102.tar.bz2”h+Œ 451a96ad9167f3a1c7e6443b8bd277b6”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-ppc64le-2.5-hdf0574f_1102.tar.bz2”h0Œ@68b1edce3e656e275b4f95a60d8f502d4c53dd2ea200ab358281b4aeff936ec5”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Å+jUó¶hEJ¾‘ hFˆubh)”}”(hŒat-spi-devel-cos7-ppc64le”h#Œ1.32.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5at-spi-devel-cos7-ppc64le-1.32.0-hdf0574f_102.tar.bz2”h+Œ 159e481c3f11c1cb7a028d14cb7f9d2a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos7-ppc64le-1.32.0-hdf0574f_102.tar.bz2”h0Œ@a097974a69d0d7f71f4e439d038cbcd2b988cc7fd70098a6f6fd7fa910b32480”h2NhNh3(Œ"at-spi-cos7-ppc64le ==1.32.0 *_102”Œ%atk-devel-cos7-ppc64le >=1.29.2 *_102”Œ&gtk2-devel-cos7-ppc64le >=2.10.0 *_102”Œ'gtk2-devel-cos7-ppc64le >=2.24.31 *_102”Œ*libbonobo-devel-cos7-ppc64le >=2.4.0 *_102”Œ'orbit2-devel-cos7-ppc64le >=2.6.0 *_102”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅiË¥hEJÆl hFˆubh)”}”(hŒr-daff”h#Œ0.3.5”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ"r-daff-0.3.5-r40hc72bb7e_2.tar.bz2”h+Œ 3cba3f20b635a20d08551213f865452d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-daff-0.3.5-r40hc72bb7e_2.tar.bz2”h0Œ@3b5f0c8c86f7efec5d63aad33921871d84fe33f1e619afa86a2c3503cf7cddde”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+,7(bhEJ†k hFˆubh)”}”(hŒkorean_lunar_calendar”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0korean_lunar_calendar-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 881849d04a4961ac42892450fa5ba32c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/korean_lunar_calendar-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4f49c31f95502a6c15132e6e13878c267f70145ebff0837a64188cf19b12c375”h2NhNh3Œpython ==2.7.*|>=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÉ$Ò¥ãThEM1hFˆubh)”}”(hŒlibxdamage-cos7-ppc64le”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libxdamage-cos7-ppc64le-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ cddcbe26fd9f909bbbe88cc01d146357”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-ppc64le-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@293f0a6ed54156a32e252abb6048901c4ab75d0fc46210e46896e847357c285a”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Š)ÇÎÙhEM<EhFˆubh)”}”(hŒ
r-progress”h#Œ1.2.2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ&r-progress-1.2.2-r36h6115d3f_2.tar.bz2”h+Œ 5a2b43fd9b70d166f43b22d44e0a7809”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progress-1.2.2-r36h6115d3f_2.tar.bz2”h0Œ@fb6b427b74ef8eb36e8e0ba71c5a3dbe436304058f57312925b4d2addb99857e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crayon”Œr-hms”Œr-prettyunits”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGA×«Í”î$ÝhEJ¡i hFˆubh)”}”(hŒ
r-geofacet”h#Œ0.2.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-geofacet-0.2.0-r42hc72bb7e_2.tar.bz2”h+Œ 9d34038420714f43939884c4a33eb33f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geofacet-0.2.0-r42hc72bb7e_2.tar.bz2”h0Œ@7ae65e1c912dc64f7c2be53dbd5b5f6a1f8b562ef15e4d2ab36303af6b4d7712”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-geogrid”Œr-ggplot2 >=3.2.1”Œ	r-ggrepel”Œr-gridextra”Œr-gtable”Œr-imgur”Œr-rnaturalearth”Œr-sf”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒwõó¶hEJB hFˆubh)”}”(hŒdehinter”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dehinter-4.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4a1fd205b2ba9e44ad95a91fc2cc2507”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dehinter-4.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@826886dbab5dac95b9877f38da1941ffbc062c6c139aac003736e35e5aa70ea0”h2NhNh3Œ	fonttools”Œpython >=3.7”†”h9h?h@Œ
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pds4_tools”Œpillow”Œpvl”Œpython >=3.9”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿Óó•hEMÅ*hFˆubh)”}”(hŒ	r-dagitty”h#Œ0.3_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-dagitty-0.3_1-r41hc72bb7e_0.tar.bz2”h+Œ 2305e88132c1b1d4afd92415e8890e4d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dagitty-0.3_1-r41hc72bb7e_0.tar.bz2”h0Œ@8906125fa356c6b4622f78ef755daacbc9d006feb78cbab51401327ab4bc2689”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œ
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r-redlistr”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-redlistr-1.0.3-r41hc72bb7e_0.tar.bz2”h+Œ d7bb1fe5867c1c426ec1e69e43ce7ce3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-redlistr-1.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@efe604bdbaeaf77648e0848ca8dbb67bef508411b38b9f416c6f8cb32558e14e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œr-raster >=2.5_8”Œr-rgeos”Œr-sp >=1.2_4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÂ%‹ÈÔþhEJ—ƒ hFˆubh)”}”(hŒaiofiles”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#aiofiles-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ c89acfd9023d35305ea12617cba6df2d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/aiofiles-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7b777952bc0b17f1d7201ea66929fab4c1dbf19421b03bcbacc61ac4f41aa864”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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r-rvertnet”h#Œ0.8.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-rvertnet-0.8.2-r40hc72bb7e_0.tar.bz2”h+Œ 32a1e036f0db7f5ff20d50620fdbc941”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rvertnet-0.8.2-r40hc72bb7e_0.tar.bz2”h0Œ@6525e8f8c702d584771598584a5aa51863a4f79a48709cfd70fbe7c597b5b9a1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.5.2”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œr-jsonlite >=1.5”Œr-maps”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ'fè*^5hEJ-ÿ hFˆubh)”}”(hŒlibxcursor-cos6-x86_64”h#Œ1.1.14”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2libxcursor-cos6-x86_64-1.1.14-hdf0574f_102.tar.bz2”h+Œ 3f27e253168d50dd0d05f18e66a3064c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxcursor-cos6-x86_64-1.1.14-hdf0574f_102.tar.bz2”h0Œ@526a1c64d577fb30eae5334f5fb4c4cf9f0be49b0e4e072460d050c9be627bd8”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´±åó¶hEMU`hFˆubh)”}”(hŒr-inlinedocs”h#Œ	2019.12.5”h%Œr40_1”h'Khhh(h)hŒ$r-inlinedocs-2019.12.5-r40_1.tar.bz2”h+Œ be73351320345ec9b8f0f67082e04cc3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-inlinedocs-2019.12.5-r40_1.tar.bz2”h0Œ@7cf6b667dcd056ac8e6a42d275185d4d258b2f530c9d0306ff8f7c6531d9b935”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×¬¹C½¸hEJL% hFˆubh)”}”(hŒr-rebus.unicode”h#Œ0.0_2”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ.r-rebus.unicode-0.0_2-r42hc72bb7e_1003.tar.bz2”h+Œ 25e82fdb44ebbcf10b6ae78379c15d0c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rebus.unicode-0.0_2-r42hc72bb7e_1003.tar.bz2”h0Œ@8209a5cda56ab8f24d6a0f89208989a666238d2af6959e4e9c0f8f07192dc75b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rebus.base >=0.0_2”†”h9hºh@Œ	Unlimited”hDGAØÑ˜3çPhEJBˆ hFˆubh)”}”(hŒtokenize-output”h#Œ0.4.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*tokenize-output-0.4.4-pyh9f0ad1d_0.tar.bz2”h+Œ c7a425012e4c8a1435c2095e5ba663a4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/tokenize-output-0.4.4-pyh9f0ad1d_0.tar.bz2”h0Œ@8773d8e14ca4307a91dff38ffcd01c2ae47113233578f024fff68a5ba58fe12d”h2NhNh3Œdemjson”Œpython”Œxonsh”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ØM¿hEMì"hFˆubh)”}”(hŒr-geoprocessor”h#Œ0.2.0”h%Œr41ha770c72_0”h'K hhh(h)hŒ*r-geoprocessor-0.2.0-r41ha770c72_0.tar.bz2”h+Œ c4d726acbed07e0b4f881e89e75b3aac”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-geoprocessor-0.2.0-r41ha770c72_0.tar.bz2”h0Œ@fdceef4b2e2cf5497deab003a52e002a389085a019bbc87d9053b3fe3cff76ab”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-gdalutils”Œr-rgdal”Œr-sp”Œr-transformer >=1.6.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡ìaÍVhEJ¾D hFˆubh)”}”(hŒr-reffreeewas”h#Œ2.2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-reffreeewas-2.2-r40h6115d3f_1.tar.bz2”h+Œ fd2ab9ac8ec826bd734995b2e73a2d0c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-reffreeewas-2.2-r40h6115d3f_1.tar.bz2”h0Œ@c6c9b1f9e7644e56c173388f5bc2d40526720179419c26766582161cd9e83080”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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sqlalchemy”Œtabulate”Œtornado”t”h9h?h@Œ
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Apache-2.0”hBŒApache”hDGAØeš±Ê\hEMr·hFˆubh)”}”(hŒpyrsmq”h#Œ0.4.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pyrsmq-0.4.5-pyhd8ed1ab_0.tar.bz2”h+Œ 501f40af4e85290a7c0b714447d3d0cc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyrsmq-0.4.5-pyhd8ed1ab_0.tar.bz2”h0Œ@2d5543b7bcb3f05e5499b6387ad5682f0fa59caa022f591b3d475da74aa2e472”h2NhNh3Œpython >=3.6”Œredis-py”†”h9h?h@Œ
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python >=3”Œscikit-learn >=1.0.0”Œscipy”Œ
setuptools”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¤L	ÕãThEJ£ hFˆubh)”}”(hŒflake8-use-fstring”h#Œ1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+flake8-use-fstring-1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 3f7d4d9e1cd8bbbc6025699083e8a1bc”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/flake8-use-fstring-1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@ef4d74a8be4c77afc1bd2bbe3f20ed39ecc401f93dcba4a1faae318ba227dc87”h2NhNh3Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÐŠ†~§ðhEMŠÙhFˆubh)”}”(hŒr-calibrate”h#Œ1.7.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-calibrate-1.7.7-r40hc72bb7e_0.tar.bz2”h+Œ 30bc60b605bf39f0e571f4dc1fd9696a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-calibrate-1.7.7-r40hc72bb7e_0.tar.bz2”h0Œ@b361b0d0a397f9685661a481447cdedcfb822c6e103c7a4b46c6c43e1b9ba88f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+ZM/hEJ(Á hFˆubh)”}”(hŒr-cghflasso”h#Œ0.2_1”h%Œr41hc72bb7e_1006”h'Mîhhh(h)hŒ*r-cghflasso-0.2_1-r41hc72bb7e_1006.tar.bz2”h+Œ f476309214ab5939899e6d306ef6c32c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-cghflasso-0.2_1-r41hc72bb7e_1006.tar.bz2”h0Œ@78d36024bbb4b7679021f8d4e99c56b30c3adb1b71821eb880b6ae2b763eaea7”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒœ+#¶FhEJž? hFˆubh)”}”(hŒstarz”h#Œ0.2.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!starz-0.2.11-pyhd8ed1ab_0.tar.bz2”h+Œ 99a8a2a3857e0ec1403c7c6b5ffb561e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/starz-0.2.11-pyhd8ed1ab_0.tar.bz2”h0Œ@d9dd05003c55ffa4697abc902d17021fda917a16bd841f288aaebf9863c6ee85”h2NhNh3Œfiletype”Œpython >=3.7”Œtqdm”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØzoŠñªhEM+hFˆubh)”}”(hŒwarrant-lite”h#Œ1.0.4”h%Œpy_0”h'K hhh(h)hŒwarrant-lite-1.0.4-py_0.tar.bz2”h+Œ 3188cd58b8f77a41c2e0966a177879b9”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/warrant-lite-1.0.4-py_0.tar.bz2”h0Œ@4c0e8c8d48742ac4ad04ca4e20b35b75f6ca61549b7e67859bef390decd97860”h2NhNh3(Œboto3”Œenvs”Œpython >=3.6”Œpython-jose”Œrequests”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×}ëì“uhEMn6hFˆubh)”}”(hŒr-prettycode”h#Œ1.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-prettycode-1.1.0-r42hc72bb7e_2.tar.bz2”h+Œ 3a99f3434a85951340ed2ca56b0a064d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-prettycode-1.1.0-r42hc72bb7e_2.tar.bz2”h0Œ@48d685ac42bf599149b3f68dbad8e9a189d63e384d6d1a25a79be320f260cdf4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-withr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÛbMÓhEJ"í hFˆubh)”}”(hŒr-homomorpher”h#Œ0.2_2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-homomorpher-0.2_2-r36hc72bb7e_0.tar.bz2”h+Œ 3f42f368d836fdb70a13cf7794755500”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-homomorpher-0.2_2-r36hc72bb7e_0.tar.bz2”h0Œ@df5b7edb81c1eda9f8f9d4895a4dc61075ef46b998b1655bf83d04a82a0dee1f”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-gmp”Œr-r6”Œr-sodium”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ%•dßïžhEJ3Ÿ hFˆubh)”}”(hŒ
r-dreamerr”h#Œ1.2.3”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-dreamerr-1.2.3-r36hc72bb7e_0.tar.bz2”h+Œ c0cf8618be4da93f9b1133077634d9ae”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dreamerr-1.2.3-r36hc72bb7e_0.tar.bz2”h0Œ@3ca6c7bda071f1fc6235c22520f876297c8a1d3d54a4ebe7735915d504f22c90”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-formula”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*F` r°hEJE… hFˆubh)”}”(hŒlarray”h#Œ0.32.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"larray-0.32.2-pyh9f0ad1d_0.tar.bz2”h+Œ ef5e3e0b847c35c3f73b91d013541f80”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/larray-0.32.2-pyh9f0ad1d_0.tar.bz2”h0Œ@fd15b423394544e071a0010b4579452467172f1da2098770b4c94ed2a0be1ba2”h2NhNh3Œnumpy >=1.13”Œpandas >=0.20”Œpython”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×¨ZY(£×hEJæû# hFˆubh)”}”(hŒr-reactablefmtr”h#Œ2.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-reactablefmtr-2.0.0-r40hc72bb7e_0.tar.bz2”h+Œ d923dbbb5cab2a6759e28b709dc78208”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-reactablefmtr-2.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@b8acfe744cb03507ecb2a880e60450ed79e3bafb0dc02ad40fa90251d9274ae3”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets >=1.5.3”Œ
r-magrittr”Œr-purrr”Œr-reactable >=0.2.0”Œr-sass >=0.4.0”Œr-shiny”Œr-stringr >=1.4.0”Œr-tippy >=0.1.0”Œ	r-webshot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØŒrîA‰hEJ"P hFˆubh)”}”(hŒpango-devel-cos7-x86_64”h#Œ1.42.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4pango-devel-cos7-x86_64-1.42.4-h9b0a68f_1105.tar.bz2”h+Œ f8acf28418d4deb6d67ea2a53887747c”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-x86_64-1.42.4-h9b0a68f_1105.tar.bz2”h0Œ@4f77f869738918a767d28cab66403c84dac5adcc7ea948dde547c4bdeee29b2b”h2NhNh3(Œ(cairo-devel-cos7-x86_64 >=1.12.10 *_1105”Œ-fontconfig-devel-cos7-x86_64 >=2.11.91 *_1105”Œ)freetype-devel-cos7-x86_64 >=2.1.5 *_1105”Œ'glib2-devel-cos7-x86_64 >=2.56.1 *_1105”Œ!pango-cos7-x86_64 ==1.42.4 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@r71Û#hEJ
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r-jsonlite”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­¶HõÃhEM˜zhFˆubh)”}”(hŒuritemplate.py”h#Œ3.0.2”h%Œpy_1”h'Khhh(h)hŒ!uritemplate.py-3.0.2-py_1.tar.bz2”h+Œ 53c74c857caa36c87f37857802f7f6bf”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/uritemplate.py-3.0.2-py_1.tar.bz2”h0Œ@9d46703204d6035f3fe31473c325f36ae7d58d1547626435b78be5ffa6c8021c”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hDGAÖÏ‡m¹7LhEMØ%hFˆubh)”}”(hŒjupyterlab-niryo-one”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/jupyterlab-niryo-one-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ b2c38ee80c4a630f8999a7338e830ccc”h.Œ]https://conda.anaconda.org/conda-forge/noarch/jupyterlab-niryo-one-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b47347fe558c78890406aabe06a5d29500e03146a8d8b834761da70434e34f56”h2NhNh3Œ!jupyterlab-blockly >=0.1.0a5,<0.2”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ·óÍ§l‹hEJÊO hFˆubh)”}”(hŒjavapackages-tools-cos7-aarch64”h#Œ3.4.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ:javapackages-tools-cos7-aarch64-3.4.1-h9b0a68f_105.tar.bz2”h+Œ 014a2e08915754653e93370e862aa44c”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-aarch64-3.4.1-h9b0a68f_105.tar.bz2”h0Œ@0177a42eb663be2dc68a3218c8787ba1406607e16545601896a1d2b40ea84df1”h2NhNh3Œ.python-javapackages-cos7-aarch64 ==3.4.1 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@Y-hEMUÝhFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œr36_1001”h'Méhhh(h)hŒr-mcpan-1.1_21-r36_1001.tar.bz2”h+Œ cfce503f913e06d40fa280a4f4778bc3”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r36_1001.tar.bz2”h0Œ@1ab1e1a8a8613e1d382d6851bfa27b23750f337d2a17eea9adff29a3619b5237”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Lr[dZhEJÄá hFˆubh)”}”(hŒlibthai-cos7-ppc64le”h#Œ0.1.14”h%Œha826a6f_103”h'Kghhh(h)hŒ0libthai-cos7-ppc64le-0.1.14-ha826a6f_103.tar.bz2”h+Œ 8677f11c76332e838be60f822d0f408c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-ppc64le-0.1.14-ha826a6f_103.tar.bz2”h0Œ@9f512e85c06ed10406c44d0fec2f30c83e1b894ff6e0a8f61cf41fdd50f09d0d”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/l,jhEJª~ hFˆubh)”}”(hŒr-worrms”h#Œ0.4.2”h%Œr41h785f33e_0”h'K hhh(h)hŒ$r-worrms-0.4.2-r41h785f33e_0.tar.bz2”h+Œ 5df9364b033bfccb53ceb6d375d2c5b2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-worrms-0.4.2-r41h785f33e_0.tar.bz2”h0Œ@b25e69207e9444499e7dff0a1c79e2a89272de7154c4457337d53e24ce3779a5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.6.0”Œr-data.table”Œr-jsonlite >=1.1”Œr-tibble >=1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+Ü‡‹ohEJE¨ hFˆubh)”}”(hŒpdfminer.six”h#Œ20221105”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pdfminer.six-20221105-pyhd8ed1ab_0.tar.bz2”h+Œ c926949c748bad45840200d12d03a809”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pdfminer.six-20221105-pyhd8ed1ab_0.tar.bz2”h0Œ@3f7da4af4d301a483211434b3804671e7aae56024c73c0c2f7670cba98a0b216”h2NhNh3Œcharset-normalizer >=2.0.0”Œcryptography >=36.0.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÙ­@å`hEJ÷¢N hFˆubh)”}”(hŒskyfield”h#Œ1.45”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ"skyfield-1.45-pyh1a96a4e_0.tar.bz2”h+Œ a1d57811e5c9a2c72979c39bee219c90”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/skyfield-1.45-pyh1a96a4e_0.tar.bz2”h0Œ@f5a52911130ab9fa1cea1058f9ae94bf94c6df408ab1dd0bd209c36b6c90bc8d”h2NhNh3(Œcertifi >=2017.4.17”Œjplephem >=2.13”Œnumpy”Œpython >=3.3”Œ
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r-quadprog”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ¾øãdZhEJ™ì
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github3.py”Œjinja2”Œnbclean”Œnbformat”Œ
python >=3”Œruamel.yaml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ	 ;GKÇhEME…hFˆubh)”}”(hŒlibxi-devel-cos6-x86_64”h#Œ1.7.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2libxi-devel-cos6-x86_64-1.7.8-hdf0574f_102.tar.bz2”h+Œ 6b54fcc598f4e43258df64b1f78cf58c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos6-x86_64-1.7.8-hdf0574f_102.tar.bz2”h0Œ@572b6f135ea3afb5420708c97221bd4bbd31f34af4e1dcff060018e373eefcf0”h2NhNh3Œlibxi-cos6-x86_64 ==1.7.8 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ$·;dhEJDr hFˆubh)”}”(hŒr-worrms”h#Œ0.4.2”h%Œr42h785f33e_1”h'Khhh(h)hŒ$r-worrms-0.4.2-r42h785f33e_1.tar.bz2”h+Œ b626f290c64e66b9beca84f17698370a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-worrms-0.4.2-r42h785f33e_1.tar.bz2”h0Œ@420f9c523b34747f21c07745f13b7e0a766e7b0482e71097602952717972e5a2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.6.0”Œr-data.table”Œr-jsonlite >=1.1”Œr-tibble >=1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÔï9G®hEJÓ¬ hFˆubh)”}”(hŒecs-logging”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ecs-logging-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ f8c7f0fc9f0f00612d9c3a79f13e9297”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ecs-logging-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7c87c40c91cce428265b4198b3b6a2d242a953a517b241aa3afcc69200160b11”h2NhNh3Œpython >=3.3”…”h9h?h@Œ
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r-tm >=0.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒê9!‡hEJ 6 hFˆubh)”}”(hŒr-data.tree”h#Œ1.0.0”h%Œr42hd8ed1ab_1”h'Khhh(h)hŒ'r-data.tree-1.0.0-r42hd8ed1ab_1.tar.bz2”h+Œ 2c2d63a182e7837afdea22b716e79751”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-data.tree-1.0.0-r42hd8ed1ab_1.tar.bz2”h0Œ@04a627d04af069bcdb014d101661bbe480600e004656d73e01292f6c948768e2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-diagrammer >=1.0.0”Œr-r6”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑ©0kÆ¨hEJCå hFˆubh)”}”(hŒr-academictwitter”h#Œ0.3.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ-r-academictwitter-0.3.1-r41hc72bb7e_1.tar.bz2”h+Œ a49ad37657c5c0d03187da60df36e717”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-academictwitter-0.3.1-r41hc72bb7e_1.tar.bz2”h0Œ@19078610ec261b2fb085f4f299532e961a5ff282c5d1d7e2e5ac2ee0da1594a7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ³“¾whEJ&y$ hFˆubh)”}”(hŒr-spls”h#Œ2.2_3”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ"r-spls-2.2_3-r41hc72bb7e_3.tar.bz2”h+Œ 4f9ed45e309320dc549ff41f685e845e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spls-2.2_3-r41hc72bb7e_3.tar.bz2”h0Œ@9cb03b5238aca7fedf7017b05f67373cd54227235a386d27192c8e6c10cad16a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-nnet”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒMµãThEJ$Á& hFˆubh)”}”(hŒpy2cytoscape”h#Œ0.7.1”h%Œpyh9f0ad1d_2”h'Khhh(h)hŒ'py2cytoscape-0.7.1-pyh9f0ad1d_2.tar.bz2”h+Œ bbcfbd3377046973ed6bfab6ecaba69a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/py2cytoscape-0.7.1-pyh9f0ad1d_2.tar.bz2”h0Œ@8b5c22949604bb0f96068f670cbcfc134d104baac6c47f8938efdb6935a6ee18”h2NhNh3(Œnetworkx”Œpandas”Œpydot”Œ	pydotplus”Œ	pyparsing”Œpython”Œpython-igraph”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯ rÀƒhEM™ÞhFˆubh)”}”(hŒr-futile.logger”h#Œ1.4.3”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ.r-futile.logger-1.4.3-r41hc72bb7e_1004.tar.bz2”h+Œ 3cfacb1a00a0cbf0a319524776fa8a4b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-futile.logger-1.4.3-r41hc72bb7e_1004.tar.bz2”h0Œ@08ccbb1ac8c754ed8a1e67a2a694b4fdb0a7f141db5687ca943bd32b8b2b6321”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-futile.options”Œr-lambda.r >=1.1.0”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÐ¾÷…ãThEJ˜µ hFˆubh)”}”(hŒr-basictrendline”h#Œ2.0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-basictrendline-2.0.5-r41hc72bb7e_1.tar.bz2”h+Œ 69b38e7c44a5160fd08d9ec05b87f7e0”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-basictrendline-2.0.5-r41hc72bb7e_1.tar.bz2”h0Œ@44d41f837f24a8e4791b4aa67c729749a3b89b3db0f633bb1ad9c9add1e26dcc”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-investr”Œr-scales”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ©Apå`hEJÙ3 hFˆubh)”}”(hŒr-knitrbootstrap”h#Œ1.0.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ,r-knitrbootstrap-1.0.2-r36h6115d3f_1.tar.bz2”h+Œ 45a5f8d169aa41b3bffb78e8abbcf3df”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitrbootstrap-1.0.2-r36h6115d3f_1.tar.bz2”h0Œ@c1d81078a0170be0b202145f839d42f1207c0ba6493187470541469c2f94e96e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-knitr >=1.5.25”Œ
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r-clusterr”Œr-dplyr”Œr-framecleaner”Œ	r-ggplot2”Œ	r-janitor”Œr-lubridate”Œ
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r-pheatmap”†”h9hºh@Œ
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Apache-2.0”hBŒAPACHE”hDGAØc^^`A‰hEMw‹hFˆubh)”}”(hŒlibxau-cos7-ppc64le”h#Œ1.0.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libxau-cos7-ppc64le-1.0.8-ha826a6f_1103.tar.bz2”h+Œ 6a2beddd2bd294b825704a2ea5205560”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-ppc64le-1.0.8-ha826a6f_1103.tar.bz2”h0Œ@e6378a6ceedf58c7b0330cdc2eed0f3790f595a04c6c18d75732a64b77661fb5”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ö‚-hEMXchFˆubh)”}”(hŒezca”h#Œ1.4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒezca-1.4.0-pyhd8ed1ab_1.tar.bz2”h+Œ 5d1e52591d3d29213ebb664ef386608c”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ezca-1.4.0-pyhd8ed1ab_1.tar.bz2”h0Œ@27589383fd0693605000687b73813a8cc00fb7f40c209ce3152717d42cb62a57”h2NhNh3(Œpcaspy”Œpyepics >=3.4.1”Œpython >=3.5”Œsix”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ˜°šn{hEMÓhFˆubh)”}”(hŒphik”h#Œ0.11.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ phik-0.11.2-pyhd8ed1ab_0.tar.bz2”h+Œ f218dd8e0cd0d0da3fe78af394af5f41”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/phik-0.11.2-pyhd8ed1ab_0.tar.bz2”h0Œ@043128371e8bde855c25859518a1e3963e33bfb07280c18ebd0d1c8978603e06”h2NhNh3(Œjoblib >=0.14.1”Œmatplotlib-base >=2.2.3”Œnumba >=0.38.1”Œnumpy >=1.15.4”Œpandas >=0.23.4”Œpython >=3.5”Œscipy >=1.1.0”t”h9h?h@Œ
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GPL (>= 3)”hBŒGPL3”hDGA×KådÙhEJ®H hFˆubh)”}”(hŒr-log4r”h#Œ0.2”h%Œ	r351_1000”h'Mèhhh(h)hŒr-log4r-0.2-r351_1000.tar.bz2”h+Œ 9611c4cd752ada8bb9045ae378da8773”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-log4r-0.2-r351_1000.tar.bz2”h0Œ@c3176a595c0b054625a75659f091f6eae28623ff55cf5547052a5eb0cc73c31a”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAÖû2Qg hEMn–hFˆubh)”}”(hŒorbit2-cos7-ppc64le”h#Œ2.14.19”h%Œha826a6f_103”h'Kghhh(h)hŒ0orbit2-cos7-ppc64le-2.14.19-ha826a6f_103.tar.bz2”h+Œ 931ee94d08ffab36894dcf3dd5335b61”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-ppc64le-2.14.19-ha826a6f_103.tar.bz2”h0Œ@d952032499fbe1f2f0b7c08e2cc72493aa9bf6646fe03ceaf2e6bee1b3cfe9c5”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Æ/
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r-nlcoptim”h#Œ0.6”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-nlcoptim-0.6-r35h6115d3f_0.tar.bz2”h+Œ c97cbdfd176c4c9f19103cc952682e54”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nlcoptim-0.6-r35h6115d3f_0.tar.bz2”h0Œ@1fee93aac0e223e777595e7af0fbc210312686a81d8eb8256851200ef80f11b1”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-mass”Œ
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matplotlib”Œnumpy”Œpandas”Œpandas-flavor”Œprettytable”Œpython >=3.6”Œpython-wget”Œpytorch”Œrdkit >=2020.03.6”Œrequests”Œscikit-learn”Œscipy”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ùc­:JhEJÄ hFˆubh)”}”(hŒlibxi-cos6-x86_64”h#Œ1.7.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ-libxi-cos6-x86_64-1.7.8-ha826a6f_1103.tar.bz2”h+Œ f09b6aa529dd9113c47004879014b622”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos6-x86_64-1.7.8-ha826a6f_1103.tar.bz2”h0Œ@b3f112703f22056d5a914efd9f27396e772ba4cb7bac868ce129d5912af73cd8”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2ž„(öhEMtƒhFˆubh)”}”(hŒ xorg-x11-server-xvfb-cos6-x86_64”h#Œ1.17.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ=xorg-x11-server-xvfb-cos6-x86_64-1.17.4-h9b0a68f_1105.tar.bz2”h+Œ f1ef25fdcd06ff28d6505b81282d35f3”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos6-x86_64-1.17.4-h9b0a68f_1105.tar.bz2”h0Œ@601e3376ebd1f55a8cdc437ac88653c9242e0098b3195c39f2584dbb301e1b6e”h2NhNh3Œsysroot_linux-64 2.12.*”Œ2xorg-x11-server-common-cos6-x86_64 >=1.17.4 *_1105”†”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGAØ@]Þ£¥ãhEJ’t hFˆubh)”}”(hŒbackports.unittest_mock”h#Œ1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0backports.unittest_mock-1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 9c4012999e64710f1b4f8ae51575b305”h.Œ^https://conda.anaconda.org/conda-forge/noarch/backports.unittest_mock-1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@772eec7bb8e3c3d63a04a1d34562f590c4113eee9df0acd0596e8ff4153a0406”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØb°Þ7ÎÙhEM‡hFˆubh)”}”(hŒ
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h1341992_0”h'K hhh(h)hŒ1libxcursor-cos7-ppc64le-1.1.15-h1341992_0.tar.bz2”h+Œ 267457f92ecdf8cc73cf81184b14fb9d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-ppc64le-1.1.15-h1341992_0.tar.bz2”h0Œ@de9b6bc0bf2b9dc15a208ece6a25cbe8743f84fce5021354b3fd9e7a2423cf66”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×s	©ühEMVohFˆubh)”}”(hŒpixman-cos7-x86_64”h#Œ0.34.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ/pixman-cos7-x86_64-0.34.0-ha826a6f_1103.tar.bz2”h+Œ 1fad52cee94f252cbfdec0bd9685d8a3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pixman-cos7-x86_64-0.34.0-ha826a6f_1103.tar.bz2”h0Œ@0b496f20bd7e025910376cf9bc02132ad5f3153ddc838966857f05a703c43495”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ØØå`hEJ³@ hFˆubh)”}”(hŒsagemaker-studio-image-build”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7sagemaker-studio-image-build-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7ddf7b050af4d5cc4c9f592fd4a7e170”h.Œehttps://conda.anaconda.org/conda-forge/noarch/sagemaker-studio-image-build-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e9d42d58280ea6a6607a0f859ab18a7e840d05ec00ff7f46aa6a05e4440daaa8”h2NhNh3Œboto3 >=1.10.44,<2.0”Œpython >=3.6”Œsagemaker <3.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØwÙHn5?hEMÖ;hFˆubh)”}”(hŒantlr-python-runtime”h#Œ4.9.2”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ/antlr-python-runtime-4.9.2-pyhd8ed1ab_2.tar.bz2”h+Œ 5cde41310c9c24b8631281260fa9a057”h.Œ]https://conda.anaconda.org/conda-forge/noarch/antlr-python-runtime-4.9.2-pyhd8ed1ab_2.tar.bz2”h0Œ@7e3c38b0feda2954cfe3b5d330ec417650bf1f4c9e44d8fce93066c5f75cc456”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØiªKà“uhEJçŠ hFˆubh)”}”(hŒlibxshmfence-cos6-x86_64”h#Œ1.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1libxshmfence-cos6-x86_64-1.2-h9b0a68f_105.tar.bz2”h+Œ f528759da74714ef1d2fda7ed4794cbb”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos6-x86_64-1.2-h9b0a68f_105.tar.bz2”h0Œ@2d41581edf5174aba14fd0135f0f934c2c0d8f723cfa83dd3278875f35e55332”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@VqvÉhEMbhFˆubh)”}”(hŒaiida-wannier90.meta”h#Œ2.0.1”h%Œ
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r-generics”Œr-misctools >=0.6_8”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐÛ'­VhEJ§Ø hFˆubh)”}”(hŒlibxt-devel-cos7-aarch64”h#Œ1.1.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libxt-devel-cos7-aarch64-1.1.5-h9d98e8f_1104.tar.bz2”h+Œ eba2083e6ad3d17a9b6e047e91c2cd36”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-aarch64-1.1.5-h9d98e8f_1104.tar.bz2”h0Œ@480c9107e0fc2af47dc63e67aa40caaef1c41d66ee01818727ff394c87ba6fb1”h2NhNh3Œ!libxt-cos7-aarch64 ==1.1.5 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É€)×;dhEJ hFˆubh)”}”(hŒdimorphite-dl”h#Œ1.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(dimorphite-dl-1.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ d56025217dbe5c8e9251163bd6bb077a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/dimorphite-dl-1.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6686c91fcc71cc518903223217920cdb00008bd2d811e073951f4f0628c30c33”h2NhNh3Œpython >=3.6”Œrdkit”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÈèí	Û#hEM@^hFˆubh)”}”(hŒibacm-cos6-x86_64”h#Œ1.0.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ-ibacm-cos6-x86_64-1.0.9-ha826a6f_1103.tar.bz2”h+Œ b58b49ff357a264fb83de094f0b6cdca”h.Œ[https://conda.anaconda.org/conda-forge/noarch/ibacm-cos6-x86_64-1.0.9-ha826a6f_1103.tar.bz2”h0Œ@e2cd051e0e98d76f5d053c00b11768d2ce53eac4e3998c5b9f4ee8bd7e57ff8b”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,«x ÅhEJD hFˆubh)”}”(hŒlibxfixes-devel-cos6-x86_64”h#Œ5.0.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ7libxfixes-devel-cos6-x86_64-5.0.3-ha826a6f_1103.tar.bz2”h+Œ 1b2456dece52ece2a5a214dbaa1dfa5d”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos6-x86_64-5.0.3-ha826a6f_1103.tar.bz2”h0Œ@fd6209f3d3ac83d44a50065b40abb0ad027dbdb2115462ee9cfc8653a7b075b6”h2NhNh3Œ$libxfixes-cos6-x86_64 ==5.0.3 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ4st¼jhEM&hFˆubh)”}”(hŒmattermostdriver”h#Œ7.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+mattermostdriver-7.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ f4d7061de078b865b2a159d9e8693ebb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/mattermostdriver-7.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9a92295799aa96e6f4672b9d90797666fd81a15e9b388d8c029674196ddd479e”h2NhNh3Œpython >=3.5”Œrequests >=2.25”Œwebsockets >=8”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØz»=ÂhEMÖPhFˆubh)”}”(hŒnss-softokn-freebl-cos7-ppc64le”h#Œ3.44.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ;nss-softokn-freebl-cos7-ppc64le-3.44.0-h9d98e8f_104.tar.bz2”h+Œ ef919260858d2113e9106ee9c685ddb8”h.Œihttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-ppc64le-3.44.0-h9d98e8f_104.tar.bz2”h0Œ@230a4040ce3fe532502084351715c80af276453de85ada10f363d5e411eee144”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_104”Œ$nss-util-cos7-ppc64le >=3.44.0 *_104”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É|Ùïß;hEJô hFˆubh)”}”(hŒ
r-rcdklibs”h#Œ2.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-rcdklibs-2.8-r42hc72bb7e_1.tar.bz2”h+Œ e7e0295359f2619f1f824fe198946e35”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rcdklibs-2.8-r42hc72bb7e_1.tar.bz2”h0Œ@f753d6bc89aa05c99d5ef7c655ce6cb3d991f333b895a145121364d2fe2d0ccc”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava >=0.9_8”†”h9hºh@ŒLGPL”hBŒLGPL”hDGAØÑZø=?}hEJ9ÇehFˆubh)”}”(hŒ
trufflehog”h#Œ2.2.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%trufflehog-2.2.1-pyhd8ed1ab_1.tar.bz2”h+Œ cdcda3dbcab58dad60ed83577add0136”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/trufflehog-2.2.1-pyhd8ed1ab_1.tar.bz2”h0Œ@ff38752eec6d4caca913215225dda748f1d421c9ff70362addd4aa89d83b3618”h2NhNh3Œgitpython >=3.0.5,<3.1.0”Œpython >=3.7,<3.11”Œtrufflehogregexes 0.0.7”‡”h9h?h@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAØÝÝ§,Ý/hEMÖahFˆubh)”}”(hŒr-assertive.strings”h#Œ0.0_3”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ2r-assertive.strings-0.0_3-r40hc72bb7e_1003.tar.bz2”h+Œ e7b8ef011b88abb2d7a648bd5b9cc516”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.strings-0.0_3-r40hc72bb7e_1003.tar.bz2”h0Œ@161845fac74a3d86761e874e99e2d80fa8d5ed6c425f2ecc2360f3021772c6f8”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=4.0,<4.1.0a0”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*úGßïžhEJ×H hFˆubh)”}”(hŒr-disco”h#Œ0.6”h%Œr36h6115d3f_1”h'Khhh(h)hŒ!r-disco-0.6-r36h6115d3f_1.tar.bz2”h+Œ 8da90e80ac605420b219d91b3f0f841b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-disco-0.6-r36h6115d3f_1.tar.bz2”h0Œ@51e323f1ed708b26f4c5afe938192ec75ce64bfb468c1f8004f3f5df7b6519d7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-rcolorbrewer”Œr-tmod”t”h9hºh@ŒGPL (>= 2.0)”hBŒGPL3”hDGA×¬á„Þ$ÝhEJwU hFˆubh)”}”(hŒr-quarto”h#Œ1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-quarto-1.2-r42hc72bb7e_1.tar.bz2”h+Œ 2bad318d3f38958bc68a2b31ed66e5de”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-quarto-1.2-r42hc72bb7e_1.tar.bz2”h0Œ@5f11e11f36a079da0b056a789e2be5da6c5cb9691e9f821df5dc2625be8cc6cf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-later”Œ
r-processx”Œr-rmarkdown”Œr-rsconnect >=0.8.26”Œr-rstudioapi”Œr-yaml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ/Ù‡+hEJ>E hFˆubh)”}”(hŒ
r-r.matlab”h#Œ3.7.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-r.matlab-3.7.0-r41hc72bb7e_1.tar.bz2”h+Œ 8c912a2fec145e297c9eb230f4c5f234”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-r.matlab-3.7.0-r41hc72bb7e_1.tar.bz2”h0Œ@04164edb86f8adb6ed2fa6ddcf44a6ad0b500a386556dea6e3d0d3da1e15a3bd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.21.0”Œr-r.utils >=2.5.0”t”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAØÐÚù[C–hEJ£{ hFˆubh)”}”(hŒorbit2-cos7-aarch64”h#Œ2.14.19”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0orbit2-cos7-aarch64-2.14.19-h9b0a68f_105.tar.bz2”h+Œ 1eb9ccfd3bff76c4c28af08f13155106”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-aarch64-2.14.19-h9b0a68f_105.tar.bz2”h0Œ@6606aadc161c4a3aeeaa1fcd42fcde1be649f2c6ef292495d8472cbb64d2f79b”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGAØ@UqÞ§ðhEJ¿ï hFˆubh)”}”(hŒr-loader.java”h#Œ1.1.1”h%Œr41ha770c72_0”h'K hhh(h)hŒ)r-loader.java-1.1.1-r41ha770c72_0.tar.bz2”h+Œ 9e62f596ac73ffa9a44dc80848eb8016”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-loader.java-1.1.1-r41ha770c72_0.tar.bz2”h0Œ@47ce23ded054d3500e236c2d14e3e98455d228d4f850b28184972dd52631c7c2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ ‚FhEJò`4hFˆubh)”}”(hŒsagemaker-pytorch-container”h#Œ2.4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ6sagemaker-pytorch-container-2.4.0-pyhd8ed1ab_1.tar.bz2”h+Œ df59c1738344545fc0a4d9b3e324c3e1”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/sagemaker-pytorch-container-2.4.0-pyhd8ed1ab_1.tar.bz2”h0Œ@c54c5ab93bb447aa00f3eb1b3ded5292b628374a2756b5d2cdee2c1e69387ef1”h2NhNh3(Œnumpy >=1.16.4”Œpillow >=6.2.0”Œpython >=2.7,<3.7”Œpytorch-cpu”Œretrying >=1.3.3”Œsagemaker_containers”Œsix >=1.12.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ#Ú97LhEM 0hFˆubh)”}”(hŒlibbonobo-cos7-ppc64le”h#Œ2.32.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2libbonobo-cos7-ppc64le-2.32.1-hdf0574f_102.tar.bz2”h+Œ 028150a4cba8455a588a0a9b04da9cbb”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-ppc64le-2.32.1-hdf0574f_102.tar.bz2”h0Œ@1c8ba648a50db75879ea97ad93e91fe909eaa9fac6c7a06bbc18570798ba5499”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Åi@Ã33hEJ×p hFˆubh)”}”(hŒlibxkbcommon-cos7-aarch64”h#Œ0.7.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libxkbcommon-cos7-aarch64-0.7.1-h9d98e8f_104.tar.bz2”h+Œ cc86201c27399fc64847e1e9dec61311”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-cos7-aarch64-0.7.1-h9d98e8f_104.tar.bz2”h0Œ@d4065565429e370dd2c2077837590302d8a0dd5668f582a53b078f33c91715ee”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ót•¸hEJ hFˆubh)”}”(hŒexpat-devel-cos7-x86_64”h#Œ2.1.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3expat-devel-cos7-x86_64-2.1.0-h9b0a68f_1105.tar.bz2”h+Œ 3ccda609b1963d511d0419ce17e4a1ee”h.Œahttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-x86_64-2.1.0-h9b0a68f_1105.tar.bz2”h0Œ@c122424542e8552d1f00ed4f4dabf00c634a09cae58a3cd25f81e112483f9482”h2NhNh3Œ expat-cos7-x86_64 ==2.1.0 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@i¯BMÓhEM‰ÂhFˆubh)”}”(hŒr-rebus.numbers”h#Œ0.0_1”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ/r-rebus.numbers-0.0_1-r351h6115d3f_1000.tar.bz2”h+Œ fefc64202c2c775a37ee9ced3ef8e22e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-rebus.numbers-0.0_1-r351h6115d3f_1000.tar.bz2”h0Œ@c136ea51c3a1ba9ccf0a24717f37f8e471e75f9653d8f3d1577ebde1198fc911”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-rebus.base”†”h9hºh@Œ	Unlimited”hBŒMIT”hDGA×Ÿ=òÐåhEMø\hFˆubh)”}”(hŒtraceml”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"traceml-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 701e94901ec8c5ef2001e75b18ff0a26”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/traceml-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4d0bb5f8e74b38a81175b8ab160501477e9fea5f5d84b3d49bb903ff3a761d6a”h2NhNh3Œpython >=3.5”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ®S©ühEJ?\ hFˆubh)”}”(hŒyaml2cli”h#Œ1.0.3”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ#yaml2cli-1.0.3-pyhd3deb0d_0.tar.bz2”h+Œ 057d6e058890c5999018ef301eaf7e50”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/yaml2cli-1.0.3-pyhd3deb0d_0.tar.bz2”h0Œ@6b0a85144800d15c8d04e552e05b3a154ab1aeaf51857702499cf5d568d11580”h2NhNh3Œpython”Œpyyaml”Œ
yamlloader”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×õÜ½33hEM¸YhFˆubh)”}”(hŒrich”h#Œ12.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ rich-12.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 162ed4cc104133be23e592faa1e055e3”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rich-12.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0cdb3105d3e50de8b6d9f4aea7e228b4872fb8b066daeb1e51c9519bc92ceffd”h2NhNh3(Œcommonmark >=0.9.0,<0.10.0”Œdataclasses >=0.7,<0.9”Œpygments >=2.6.0,<3.0.0”Œpython >=3.6.2”Œ typing_extensions >=4.0.0,<5.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÎ‡Ó"ÑhEJÝ© hFˆubh)”}”(hŒnumactl-cos7-ppc64le”h#Œ2.0.12”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0numactl-cos7-ppc64le-2.0.12-h9b0a68f_105.tar.bz2”h+Œ 6817e7b317d8a26addfda9e434251df5”h.Œ^https://conda.anaconda.org/conda-forge/noarch/numactl-cos7-ppc64le-2.0.12-h9b0a68f_105.tar.bz2”h0Œ@9d7a9b8b95c014bcf15fa06c17ff0d4a9de9e08d4a5a0ed88b4c35a753d72249”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@‡Ý? hEJ†L hFˆubh)”}”(hŒr-mmod”h#Œ1.3.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-mmod-1.3.3-r36h6115d3f_0.tar.bz2”h+Œ add8131fd13edcb512a97ca912e98a18”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mmod-1.3.3-r36h6115d3f_0.tar.bz2”h0Œ@368fc7c27a1b1726b3dca8f0a409aa3d54df33077906b902cf8f56a7a4426673”h2NhNh3Œr-adegenet >=2.0”Œr-base >=3.6,<3.7.0a0”Œr-pegas”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×dÇ?¾whEJÚ¢ hFˆubh)”}”(hŒ	r-polycor”h#Œ0.8_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-polycor-0.8_1-r41hc72bb7e_1.tar.bz2”h+Œ e8c8000c805a74f5d59842d797a42032”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-polycor-0.8_1-r41hc72bb7e_1.tar.bz2”h0Œ@82d9da12db0548b815d5bd5ec7985eb03663149a7e80d9fdaec21c28980774f4”h2NhNh3(Œr-admisc >=0.22”Œr-base >=4.1,<4.2.0a0”Œr-matrix”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑiø}‘hhEJ½X hFˆubh)”}”(hŒ	r-metadat”h#Œ1.2_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-metadat-1.2_0-r40hc72bb7e_0.tar.bz2”h+Œ fbff3091db2e58568d4fabf9123fbaba”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-metadat-1.2_0-r40hc72bb7e_0.tar.bz2”h0Œ@431060adad29c9bc6cff4a681adcbe26fd4ba1416bfe91d6d880bf7c9fe8a4f7”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-mathjaxr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ˜›áÊ¬hEJ‡ hFˆubh)”}”(hŒ
voeventlib”h#Œ1.2”h%Œpy_0”h'K hhh(h)hŒvoeventlib-1.2-py_0.tar.bz2”h+Œ 61e26c8ba7fdc45f89abc5f1f0246b08”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/voeventlib-1.2-py_0.tar.bz2”h0Œ@24075ef175966f839d121241c41b8f2758ea0164ddfc074cebe7a86d6882c8e7”h2NhNh3Œlxml”Œpython >=3.5”†”h9h?h@ŒGPLv3+”hBŒGPL”hDGA×#¥hEMòƒhFˆubh)”}”(hŒr-bb”h#Œ	2019.10_1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-bb-2019.10_1-r36h6115d3f_1.tar.bz2”h+Œ d7d3ee88794878293eac479c8770a4a5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bb-2019.10_1-r36h6115d3f_1.tar.bz2”h0Œ@4ea8978185a4ee640d7d72a801aa9b6b675c07841d9790b33a372870ed41e738”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­@…ÂhEJ#ç
 hFˆubh)”}”(hŒr-value”h#Œ2.2.2”h%Œr40ha770c72_0”h'K hhh(h)hŒ#r-value-2.2.2-r40ha770c72_0.tar.bz2”h+Œ f0f9e4e2e6bfb366de601f4dee372555”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-value-2.2.2-r40ha770c72_0.tar.bz2”h0Œ@fdb6005519fb0a2eb936170aea29e74c7a05475bc4932ee70277f434d67a349d”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-evd”Œr-loader >=1.4.10”Œ
r-magrittr”Œ	r-pbapply”Œr-rcppeigen”Œr-rcurl”Œr-signal”Œr-transformer”Œr-verification”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡ëË33hEJ×FqhFˆubh)”}”(hŒaws-sam-cli”h#Œ1.36.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'aws-sam-cli-1.36.0-pyhd8ed1ab_0.tar.bz2”h+Œ 547017622ae5bc1593c715d062a25d80”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/aws-sam-cli-1.36.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1348ef2b19c025f571907c3eb24a973f4f230dcf3b266fa8e9343ce7c1e164aa”h2NhNh3(Œaws-sam-translator >=1.22.0”Œaws_lambda_builders >=0.8.0”Œboto3 >=1.10,<2”Œchevron >=0.12,<1”Œclick >=7.0,<8”Œcookiecutter >=1.6.0,<1.7”Œdateparser >=0.7,<1”Œdocker-py >=4.0,<5”Œflask >=1.0.2,<1.1”Œjmespath >=0.9.5,<0.10”Œpython >=3.6”Œpython-dateutil >=2.6,<3”Œpyyaml >=5.1,<6”Œrequests >=2.23.0”Œserverlessrepo >=0.1.9”Œtomlkit >=0.5.8”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØw$˜ ÅhEJMfE hFˆubh)”}”(hŒlabel-maker”h#Œ0.9.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ&label-maker-0.9.1-pyhd3deb0d_0.tar.bz2”h+Œ 553102c3081c449c009693b6a5cde1d5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/label-maker-0.9.1-pyhd3deb0d_0.tar.bz2”h0Œ@bf4ce8e93135f2267cc7d29d3a02ff3931cdb3dce86a332ad97c4f3e919a8153”h2NhNh3(Œcerberus >=1.1”Œclick >=6.7”Œgeojson >=2.3.0”Œhomura >=0.1.5”Œhumanize >=0.5.1”Œmapbox-vector-tile >=1.2.0”Œmbutil >=0.3.0”Œmercantile >=1.0.0”Œnumpy >=1.13.3”Œolefile >=0.44”Œpillow >=4.3.0”Œprotobuf >=3.5.0.post1”Œpyclipper >=1.0.6”Œpycurl >=7.43.0.1”Œpyproj >=1.9.5.1”Œpython”Œrasterio >=1.0a12”Œrequests >=2.20.0”Œshapely >=1.6.3”Œsix >=1.10.0”Œtilepie >=0.2.1”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGA×íö!´9hEM'ehFˆubh)”}”(hŒ
phasespace”h#Œ1.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%phasespace-1.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3dfad749ccbdf131290e3f31e6539a9f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/phasespace-1.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@631459569b90037df63be2e6d7498e395b7309afdc83f59e7a86a9d5110fcd68”h2NhNh3Œpython >=3.6”Œtensorflow >=2.4,<=2.7”Œ$tensorflow-probability >=0.12,<=0.14”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÄw+T¼jhEMzŠhFˆubh)”}”(hŒcairo-devel-cos7-ppc64le”h#Œ1.15.12”h%Œha826a6f_1103”h'MOhhh(h)hŒ6cairo-devel-cos7-ppc64le-1.15.12-ha826a6f_1103.tar.bz2”h+Œ 91e97f946a1e0f8092fa30e36f523651”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-ppc64le-1.15.12-ha826a6f_1103.tar.bz2”h0Œ@5f777ca7177f6394d2f63b03437ec86bfc411c469a8678eba662ffbe85f57bbe”h2NhNh3Œ#cairo-cos7-ppc64le ==1.15.12 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Æ2<¾whEJbÃ hFˆubh)”}”(hŒr-visnetwork”h#Œ2.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-visnetwork-2.1.2-r41hc72bb7e_1.tar.bz2”h+Œ 674066addc7a5015e394db1f5308f168”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-visnetwork-2.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@b9e8ec60f9c56a6c0e3c38e21042496a23ccb584602b1c9a2d637305cddbfa28”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐwúÿïžhEJ¦cD hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpy_10”h'K
hhh(h)hŒ%fenics-dijitso-2019.1.0-py_10.tar.bz2”h+Œ b594c892a321eb7a5b427080451902b0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-py_10.tar.bz2”h0Œ@e0452de7718eb85dc3579da5baaf13077fc123ae708c19320fd61440a38019ee”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×¾¹’JhEM3¦hFˆubh)”}”(hŒsysroot-cos7-x86_64”h#Œ2.17”h%Œ
h1a5fb1d_6”h'Khhh(h)hŒ+sysroot-cos7-x86_64-2.17-h1a5fb1d_6.tar.bz2”h+Œ ed3e9821a73bc4c2eaa5b9f4952fe8ef”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h1a5fb1d_6.tar.bz2”h0Œ@ac51587fdc19bca0965998b6dc06e4712466f36e7a7d9c7e3b93c245774cf43d”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶èMY%hEMhFˆubh)”}”(hŒlibxt-devel-cos7-aarch64”h#Œ1.1.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libxt-devel-cos7-aarch64-1.1.5-h9b0a68f_105.tar.bz2”h+Œ 015fb9623b0000a8ca78f6cefcf8febe”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-aarch64-1.1.5-h9b0a68f_105.tar.bz2”h0Œ@e47ac9128ec321a37e475b5b57d5760cbcc00f98209f0c9e3d95415abe42e3c7”h2NhNh3Œ libxt-cos7-aarch64 ==1.1.5 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@_ä A‰hEJô hFˆubh)”}”(hŒlibselinux-devel-cos7-aarch64”h#Œ2.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libselinux-devel-cos7-aarch64-2.5-h9d98e8f_1104.tar.bz2”h+Œ 793c82889d834482304f07c4b88319d2”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-aarch64-2.5-h9d98e8f_1104.tar.bz2”h0Œ@64a28cb2e022e47c6327014921632ce0d833c25c8a370427f056194c73823e52”h2NhNh3Œ$libselinux-cos7-aarch64 ==2.5 *_1104”Œ(libsepol-devel-cos7-aarch64 >=2.5 *_1104”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×É›¦hEJ
` hFˆubh)”}”(hŒr-mcgibbsit”h#Œ1.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-mcgibbsit-1.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 963165e0842ad0831dd0308d42a52789”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mcgibbsit-1.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@73f0c89615a78dda7ac08fdd2d4dda04c859e6d38aad98b114b98dbd3f1f087e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-coda”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¢®hEMåÃhFˆubh)”}”(hŒkernel-headers-cos7-ppc64le”h#Œ3.10.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8kernel-headers-cos7-ppc64le-3.10.0-hdf0574f_1102.tar.bz2”h+Œ 9d6e9c42c6e3cab4eec4a26ef8842f5b”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos7-ppc64le-3.10.0-hdf0574f_1102.tar.bz2”h0Œ@b8df502fb6e59a67e1a25b04b3807347a491fd4ac15b7ae35e1eb4ab8cae45e6”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Å+0²hEM%hFˆubh)”}”(hŒr-webdriver”h#Œ1.0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-webdriver-1.0.6-r41hc72bb7e_1.tar.bz2”h+Œ 9486ad53314ca4e585779bd0ae494d58”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-webdriver-1.0.6-r41hc72bb7e_1.tar.bz2”h0Œ@b5c6a63d0ed31b04d7b579868c268af683b9670cc7dfeb16aad7df65f074a3ec”h2NhNh3(Œ	phantomjs”Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-callr >=2.0.0”Œr-curl >=2.0”Œ	r-debugme”Œr-httr”Œ
r-jsonlite”Œr-r6”Œr-showimage”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ?¥Gl‹hEJÿ* hFˆubh)”}”(hŒlsstdesc-env”h#Œ2020.11.12.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ,lsstdesc-env-2020.11.12.0-hd8ed1ab_0.tar.bz2”h+Œ c2a574c32b94ac1c91a15e7f5bf9c469”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/lsstdesc-env-2020.11.12.0-hd8ed1ab_0.tar.bz2”h0Œ@13e23a76ce46d41fa323ff6daad19cdc1bcfb48aed493bd8f2137251f89cc0e8”h2NhNh3(Œ	astroplan”Œastropy”Œbokeh”Œcamb”Œcmake”Œconda”Œcookiecutter”Œcorner”Œdask”Œdask-jobqueue”Œdask-mpi”Œ
datashader”Œdustmaps”Œeigen”Œemcee”Œ
extinction”Œfastparquet”Œfitsio”Œflake8”Œgalsim”Œgoogle-cloud-bigquery”Œgraphviz”Œgsl”Œh5py”Œhdf5”Œhealpy”Œ
healsparse”Œ	holoviews”Œipdb”Œipympl”Œjupyter”Œ
markupsafe”Œ
matplotlib”Œnamaster”Œnose”Œnumba”Œnumpy”Œpandas”Œparsl”Œpip”Œpsycopg2”Œpyarrow”Œpybind11”Œpyccl”Œpymssql”Œpytables”Œpytest”Œpython 3.8.*”Œpython-snappy”Œsacc”Œscikit-image”Œscikit-learn”Œscipy”Œseaborn”Œsnappy”Œsphinx”Œtabulate”Œtreecorr”Œyaml”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×ë\ìzáhEMìhFˆubh)”}”(hŒmetric-learn”h#Œ0.6.2”h%Œpy_0”h'K hhh(h)hŒmetric-learn-0.6.2-py_0.tar.bz2”h+Œ d7be42b20f62be1bf2d0244d937832d1”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/metric-learn-0.6.2-py_0.tar.bz2”h0Œ@32830376482f0ead9d1f7bfa3607aef59fbfe77fd73de3101efd311bfbc398d4”h2NhNh3(Œnumpy”Œpython >=3.6”Œscikit-learn >=0.20.3”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¿yŒƒdZhEMù¼hFˆubh)”}”(hŒ	r-lexicon”h#Œ1.2.1”h%Œr351h6115d3f_0”h'K hhh(h)hŒ&r-lexicon-1.2.1-r351h6115d3f_0.tar.bz2”h+Œ 17d594917e39c04dbf2461ce672be50b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lexicon-1.2.1-r351h6115d3f_0.tar.bz2”h0Œ@8074c8cf010761f192788b8fda54711b4e830fff099a0dcdb1c848780f0cf3f3”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-data.table”Œr-syuzhet >=1.0.1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×$áZõãThEJ©02 hFˆubh)”}”(hŒr-bb”h#Œ	2019.10_1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-bb-2019.10_1-r40h6115d3f_1.tar.bz2”h+Œ 2b1de08515c88e2ee99df9ca0a9d99a8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bb-2019.10_1-r40h6115d3f_1.tar.bz2”h0Œ@975a7192badc0759bb963327056bded243e55e1d0c8237a14be56680542608fe”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­?¨“uhEJCå
 hFˆubh)”}”(hŒwwt_jupyterlab_extension”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3wwt_jupyterlab_extension-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ d0fec744b61f84cb718597dab3524639”h.Œahttps://conda.anaconda.org/conda-forge/noarch/wwt_jupyterlab_extension-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@46025cb1fb6ef32f9c6fc4c58b83a9727f0b045024d067f959131e842cefc56d”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÆPì¢n˜hEJ‹? hFˆubh)”}”(hŒspectra”h#Œ0.0.11”h%Œpy_1”h'Khhh(h)hŒspectra-0.0.11-py_1.tar.bz2”h+Œ 3979401f3b9bcebf0adba6d091d390e3”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/spectra-0.0.11-py_1.tar.bz2”h0Œ@6f75e8f833c84fd7d129ab89d3ed6cff95b3197ba73bf6dc6a17268306ad228f”h2NhNh3Œcolormath >=3.0.0”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×8ƒÅVhEMÑKhFˆubh)”}”(hŒsysroot-cos7-aarch64”h#Œ2.17”h%Œ
hc836289_6”h'Khhh(h)hŒ,sysroot-cos7-aarch64-2.17-hc836289_6.tar.bz2”h+Œ 228edb448911daa251f4ff382e9f213e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-aarch64-2.17-hc836289_6.tar.bz2”h0Œ@426852f9220ba2e865c74d6ee865f150de8a42c385d0755f9d6071257abdf1ce”h2NhNh3Œsysroot_linux-aarch64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶èX“SøhEM'hFˆubh)”}”(hŒtabulate”h#Œ0.9.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#tabulate-0.9.0-pyhd8ed1ab_1.tar.bz2”h+Œ 4759805cce2d914c38472f70bf4d8bcb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tabulate-0.9.0-pyhd8ed1ab_1.tar.bz2”h0Œ@f6e4a0dd24ba060a4af69ca79d32361a6678e61d78c73eb5e357909b025b4620”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÏÿáTIºhEMHŒhFˆubh)”}”(hŒr-slim”h#Œ0.1.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ%r-slim-0.1.1-r35h6115d3f_1001.tar.bz2”h+Œ bba1a1461c94add95dc48d655d38a87c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-slim-0.1.1-r35h6115d3f_1001.tar.bz2”h0Œ@b7037039e18c3706be36ea5cb0e932f7c69a905f9ed4cb220c49c2f7c98ead14”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-data.table >=1.9.6”Œr-mass >=7.3”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Lªøj¬hEJQO hFˆubh)”}”(hŒ	r-metrics”h#Œ0.1.4”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-metrics-0.1.4-r41hc72bb7e_1003.tar.bz2”h+Œ 86f9340b2531c219881fab31e7d8c7f3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-metrics-0.1.4-r41hc72bb7e_1003.tar.bz2”h0Œ@d4db8fcd25b1f9e234ca03a562d43029630feb7a8a4dc164852fc7a199794210”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÑ&Xå/hEJe hFˆubh)”}”(hŒsolventmapcreator”h#Œ3.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,solventmapcreator-3.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 9b0fd769224f028d507e45c4c011d7ff”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/solventmapcreator-3.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@11a09ca3a775db8af6baef247aed7f34b6dbec0ae4ed5d59b16e709078a7c275”h2NhNh3(Œlxml”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÒ6A6§ðhEJüs
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r-paintmap”h#Œ1.0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ$r-paintmap-1.0-r36h6115d3f_2.tar.bz2”h+Œ 0f95fb76d4bd57d5909fe6dcd1746083”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r36h6115d3f_2.tar.bz2”h0Œ@c5bda68f13d36d7c5f073148dfb27001239a3b04a7f9de981758e7cd07cdfc02”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬œ1ŽVhEM‹hFˆubh)”}”(hŒcairo-cos6-x86_64”h#Œ1.8.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,cairo-cos6-x86_64-1.8.8-h9d98e8f_104.tar.bz2”h+Œ a63098014391b9f13458a6b92827c975”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/cairo-cos6-x86_64-1.8.8-h9d98e8f_104.tar.bz2”h0Œ@8d43cdc069d0a17b353ddc3781a3d06695e12d6ff581fa21d5bcb8f9722297f0”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Éy1"Ÿ¾hEJFÆ hFˆubh)”}”(hŒr-ppcor”h#Œ1.1”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ$r-ppcor-1.1-r41ha770c72_1003.tar.bz2”h+Œ 157961adea2821880c0ab3b17f731ed5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ppcor-1.1-r41ha770c72_1003.tar.bz2”h0Œ@f1bd3a4aa53e643b5e3d29a148e18a87cacf406b540057e5e19ae0f52bbb0d2d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+«¸bhEM`¡hFˆubh)”}”(hŒrq”h#Œ1.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒrq-1.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0c84c58ef9774d561206f4a17af623ec”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/rq-1.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@277368d55a469758f7c606f27f710b0a566cbbf1f5a6d361a3c7acc18d230813”h2NhNh3(Œclick >=5.0”Œpython >=3.6”Œredis-py >=3.0.0”Œ
setuptools”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ7‚ä¼jhEM»ÑhFˆubh)”}”(hŒlibibverbs-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ1libibverbs-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h+Œ 75598788b28de46ee8aa9dc48e0a5725”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h0Œ@5e63381f05ba60b325c0a75c4157cf1dc274938999d5e02c874d35f4452fb01e”h2NhNh3Œ#rdma-core-cos7-aarch64 ==22.4 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É{ºmOßhEJ„W hFˆubh)”}”(hŒkwonly-args”h#Œ1.0.10”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ'kwonly-args-1.0.10-pyhd8ed1ab_2.tar.bz2”h+Œ 3ede6e1a6d6655a20f9891e64720ac18”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/kwonly-args-1.0.10-pyhd8ed1ab_2.tar.bz2”h0Œ@d7f1eabfdfa0a222b7dc87601c9c7087010396039b5baf3b7730449b7b3d0923”h2NhNh3Œpython >=2.4,<3|>=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGAØXÅdZhEMV6hFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-aarch64”h#Œ1.2.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ;libxscrnsaver-devel-cos7-aarch64-1.2.2-h9d98e8f_104.tar.bz2”h+Œ 43927e6e5e59685b05a7c8e8cd6d9f4f”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-aarch64-1.2.2-h9d98e8f_104.tar.bz2”h0Œ@8b7e8a24841778b49114dc6045ec456193d084ade5004a0eaf299d34011f158d”h2NhNh3Œ(libxscrnsaver-cos7-aarch64 ==1.2.2 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz"Å¸hEM™5hFˆubh)”}”(hŒmesa-libgl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9mesa-libgl-devel-cos7-ppc64le-18.3.4-h9d98e8f_104.tar.bz2”h+Œ 0adc38985837033403c26bd9fc4f6a53”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-ppc64le-18.3.4-h9d98e8f_104.tar.bz2”h0Œ@a6c5fab7ec4780c43243c8fbe73744f15812623d18fa95593259704c66ea5f2d”h2NhNh3Œ*mesa-khr-devel-cos7-ppc64le ==18.3.4 *_104”Œ&mesa-libgl-cos7-ppc64le ==18.3.4 *_104”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}j-hEJçƒ hFˆubh)”}”(hŒgtk2-cos6-x86_64”h#Œ2.24.23”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.gtk2-cos6-x86_64-2.24.23-h9b0a68f_1105.tar.bz2”h+Œ 9917e2ebd924a66e7d57405b0ddc521c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gtk2-cos6-x86_64-2.24.23-h9b0a68f_1105.tar.bz2”h0Œ@57695bf641bf75899a2e9d8a16829ede4ee5bc2d815f6ef302e7e0aee061bf37”h2NhNh3(Œatk-cos6-x86_64 >=1.29.4 *_1105”Œ!glib2-cos6-x86_64 >=2.28.0 *_1105”Œ!libx11-cos6-x86_64 >=1.5.0 *_1105”Œ'libxrandr-cos6-x86_64 >=1.2.99.4 *_1105”Œ!pango-cos6-x86_64 >=1.20.0 *_1105”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@^Ï\)hEJ87 hFˆubh)”}”(hŒfoolbox”h#Œ3.3.1”h%Œpyh44b312d_1”h'Khhh(h)hŒ"foolbox-3.3.1-pyh44b312d_1.tar.bz2”h+Œ ab0b4166703a641db5d2c9a2835acb5e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/foolbox-3.3.1-pyh44b312d_1.tar.bz2”h0Œ@e05ab27e5541171578dd11dcfa51f03afcf7e2ed226c9e2856e887b235e4748b”h2NhNh3(Œeagerpy >=0.27”Œgit”Œgitpython >=3.0.7”Œnumpy”Œpython”Œrequests”Œscipy”Œ
setuptools”Œtyping-extensions >=3.7.4.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ#í4›¦hEJ–- hFˆubh)”}”(hŒgtk2-cos7-aarch64”h#Œ2.24.31”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.gtk2-cos7-aarch64-2.24.31-hdf0574f_102.tar.bz2”h+Œ d066351069fc9aa8be77f743df453300”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gtk2-cos7-aarch64-2.24.31-hdf0574f_102.tar.bz2”h0Œ@c3d6d1eef219c8a7897307c571f9f0da6e8af1913252fce4afe7a9d7aa36e978”h2NhNh3(Œatk-cos7-aarch64 >=1.29.4 *_102”Œ!glib2-cos7-aarch64 >=2.28.0 *_102”Œ"libtiff-cos7-aarch64 >=3.6.1 *_102”Œ'libxrandr-cos7-aarch64 >=1.2.99.4 *_102”Œ!pango-cos7-aarch64 >=1.20.0 *_102”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi|Ô¼jhEJy™; hFˆubh)”}”(hŒr-multipanelfigure”h#Œ2.1.2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ.r-multipanelfigure-2.1.2-r40h6115d3f_1.tar.bz2”h+Œ 89a2152ab5d87dead1206e6be83121af”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-multipanelfigure-2.1.2-r40h6115d3f_1.tar.bz2”•F      h0Œ@5d69452eceab9313711b41db470a4a3ac3b0cc90f1ae660d00ca0618d47a3c40”h2NhNh3(Œr-assertive.base >=0.0_7”Œr-assertive.files >=0.0_2”Œr-assertive.numbers >=0.0_2”Œr-assertive.properties >=0.0_4”Œr-assertive.types >=0.0_3”Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=2.2.1”Œr-gridgraphics >=0.3_0”Œr-gtable >=0.2.0”Œr-magick >=1.9”Œr-magrittr >=1.5”Œr-stringi >=1.2.3”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬¡‰{hEJ) hFˆubh)”}”(hŒat-spi-devel-cos7-x86_64”h#Œ1.32.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5at-spi-devel-cos7-x86_64-1.32.0-h9b0a68f_1105.tar.bz2”h+Œ ea755271f5a3249874244105b85c5659”h.Œchttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos7-x86_64-1.32.0-h9b0a68f_1105.tar.bz2”h0Œ@1c23b4748ad140304d8b12d92b54950383b280ed65111fe8ac16ca1028cd6baa”h2NhNh3(Œ"at-spi-cos7-x86_64 ==1.32.0 *_1105”Œ%atk-devel-cos7-x86_64 >=1.29.2 *_1105”Œ&gtk2-devel-cos7-x86_64 >=2.10.0 *_1105”Œ*libbonobo-devel-cos7-x86_64 >=2.4.0 *_1105”Œ'orbit2-devel-cos7-x86_64 >=2.6.0 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@s^—hEJíŽ hFˆubh)”}”(hŒr-readbitmap”h#Œ0.1.5”h%Œr36h6115d3f_2”h'Khhh(h)hŒ(r-readbitmap-0.1.5-r36h6115d3f_2.tar.bz2”h+Œ 625f6e386d7ffc46c32e30b79884f0a3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-readbitmap-0.1.5-r36h6115d3f_2.tar.bz2”h0Œ@4b4bbb68bd0f5e23f8ea7b24de5d09404cc48aa118b8dad42a352534490592b5”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-bmp”Œr-jpeg”Œr-png”Œr-tiff”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬b[ÂMÓhEMovhFˆubh)”}”(hŒr-kpeaks”h#Œ1.1.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-kpeaks-1.1.0-r41hc72bb7e_2.tar.bz2”h+Œ a0903e6af71272f12301b9e65b5596e7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-kpeaks-1.1.0-r41hc72bb7e_2.tar.bz2”h0Œ@ad02438931fa7cc16d3e7a1385d2aef6502ee25d75daff053492845f9ea9b372”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ,Á7LhEJ‡h hFˆubh)”}”(hŒr-cramer”h#Œ0.9_3”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ$r-cramer-0.9_3-r40hc72bb7e_2.tar.bz2”h+Œ 876b5b312bd11d6d0b7392b1511df986”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cramer-0.9_3-r40hc72bb7e_2.tar.bz2”h0Œ@69d07cc52d29dc6f49fd85ed832e074a49f0a6d53a34fc67e4128d5e240ac2cb”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-boot”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+¢²ÀƒhEM’¤hFˆubh)”}”(hŒr-bazar”h#Œ1.0.11”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-bazar-1.0.11-r36h6115d3f_0.tar.bz2”h+Œ 2d4f8aa75369debfcb630134c4386007”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bazar-1.0.11-r36h6115d3f_0.tar.bz2”h0Œ@80b4a7581b7ec3be84b6447383cc5217b094e06ff672870ae30f26caac58b6fd”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-kimisc”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×a DŸ
=hEJ8  hFˆubh)”}”(hŒr-desc”h#Œ1.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-desc-1.4.2-r40hc72bb7e_0.tar.bz2”h+Œ c68e70515632b685e2c6aa69a4dc970d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-desc-1.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@a91f226446a5d2cd41a266adec9ec8c502b08e8d0cfc67a9ea2f06e79ec16ace”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cli”Œr-r6”Œr-rprojroot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÆ„AÊ=qhEJ. hFˆubh)”}”(hŒr-binhf”h#Œ1.0_3”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ'r-binhf-1.0_3-r351h6115d3f_1001.tar.bz2”h+Œ abd7adac145e0096918183f7e961552d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-binhf-1.0_3-r351h6115d3f_1001.tar.bz2”h0Œ@85a543b76db8f1355df7c084763528f992a91ad879b989e5172da69a6903e3d6”h2NhNh3(Œr-adlift >=0.9.2”Œr-base >=3.5.1,<3.5.2.0a0”Œr-ebayesthresh”Œr-wavethresh”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖþ{‹²-hEJø– hFˆubh)”}”(hŒlibxxf86vm-cos7-x86_64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libxxf86vm-cos7-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ 27da63ea2e82b9fce8b27621e34e0a99”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@86eb9890e51c60a169f864acd1b3e3e60f83188ec6c316146f6ff37adfd54294”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@nvŠáHhEM};hFˆubh)”}”(hŒlibibumad-cos6-x86_64”h#Œ1.3.9”h%Œha826a6f_103”h'Kghhh(h)hŒ0libibumad-cos6-x86_64-1.3.9-ha826a6f_103.tar.bz2”h+Œ e96235e66c6f28601851aa72e1427a4f”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos6-x86_64-1.3.9-ha826a6f_103.tar.bz2”h0Œ@d24ad8175da229525f6aeac3ac5ba5ad5331dff803f12a154398c02e5d53ccec”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,žýó¶hEM)íhFˆubh)”}”(hŒr-segregation”h#Œ0.6.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-segregation-0.6.0-r40hc72bb7e_0.tar.bz2”h+Œ 250d839c3bb8056e59ce2902a6067abe”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-segregation-0.6.0-r40hc72bb7e_0.tar.bz2”h0Œ@d37599404b20da234c0fe11b43eeaf94ff805a60d3c46b2fb132b72ed387283c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAØLDÃÄzáhEJ]Þ hFˆubh)”}”(hŒr-pafr”h#Œ0.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-pafr-0.0.2-r41hc72bb7e_0.tar.bz2”h+Œ 48861f8e6162c17f2fbd30e350fc1610”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pafr-0.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@ae6653bc21e9a41bde73f7186ad55d795402de4589a872bfb1db86d7438ac9fb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+µñ	7LhEJýR hFˆubh)”}”(hŒr-ggbump”h#Œ0.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-ggbump-0.1.0-r40h6115d3f_1.tar.bz2”h+Œ 9168720affd38584a48a921867856d26”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggbump-0.1.0-r40h6115d3f_1.tar.bz2”h0Œ@9a1a12e084af204039e2d662d9e3ccf5cca844aaf5348c06b9e38c2d4180b7f8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-purrr”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬È‹aº^hEJ  hFˆubh)”}”(hŒr-mvnormtest”h#Œ0.1_9”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ,r-mvnormtest-0.1_9-r351h6115d3f_1001.tar.bz2”h+Œ 8b0aeb4fc1db32af65e6b8dab17590db”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-mvnormtest-0.1_9-r351h6115d3f_1001.tar.bz2”h0Œ@b066e836924f61697e99fcf228a3ff6a9d33654f451185cb72c6a37f12e549ee”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAÖüò¢0ÔþhEM¹khFˆubh)”}”(hŒ	r-timeroc”h#Œ0.4”h%Œr40h6115d3f_1”h'Khhh(h)hŒ#r-timeroc-0.4-r40h6115d3f_1.tar.bz2”h+Œ fb3f50c794756f867e35582974d3faed”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-timeroc-0.4-r40h6115d3f_1.tar.bz2”h0Œ@433cf6ab8efa3c2a7ae0a5fb470913f09273476651db95597a1d2c0ae02e45ab”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mvtnorm >=1.0_1”Œr-pec >=2.4.4”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬—•y‡hEJ—ß hFˆubh)”}”(hŒr-rvmmin”h#Œ2018_4.17.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-rvmmin-2018_4.17.1-r41hc72bb7e_0.tar.bz2”h+Œ 140067eac95836dbd563c58b508cc1d1”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rvmmin-2018_4.17.1-r41hc72bb7e_0.tar.bz2”h0Œ@f9a8e193d695ca673344876d65a2489b0681d80623b0f188b4e4621da9adf515”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-optextras”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*þ‹|¬hEJ?x hFˆubh)”}”(hŒr-intergraph”h#Œ2.0_2”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ+r-intergraph-2.0_2-r35h6115d3f_1001.tar.bz2”h+Œ 97743ce3cdd8f5199e8dcdf7fdd130bb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-intergraph-2.0_2-r35h6115d3f_1001.tar.bz2”h0Œ@08efe70813d9177a15efd1f7e576d4f312901a97b8c5488acdd5807fba24c72e”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-igraph >=0.6_0”Œr-network >=1.4_1_1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Læ\ª¬hEJw9 hFˆubh)”}”(hŒjson-rpc”h#Œ1.12.2”h%Œpy_0”h'K hhh(h)hŒjson-rpc-1.12.2-py_0.tar.bz2”h+Œ a93e56fb0aa64b3379bbd83c331c3219”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/json-rpc-1.12.2-py_0.tar.bz2”h0Œ@a43cde62cdb1f963df334af62d5a500c8ce3fbc33c2b5bbdcde4215de1e1e59a”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×te¹™šhEMøuhFˆubh)”}”(hŒperl-set-scalar”h#Œ1.29”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ-perl-set-scalar-1.29-pl5321hd8ed1ab_0.tar.bz2”h+Œ 7880475edc10a17e0eb9897fdafbf7d2”h.Œ[https://conda.anaconda.org/conda-forge/noarch/perl-set-scalar-1.29-pl5321hd8ed1ab_0.tar.bz2”h0Œ@5394a15793e044afa0c0df15ac28c5056321907fe0b0dea46faa676edf28143a”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÍ\ÞffhEMkhFˆubh)”}”(hŒ
r-labeling”h#Œ0.4.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-labeling-0.4.2-r42hc72bb7e_2.tar.bz2”h+Œ a8c6275f22169dfb4f147a63d7b1b4fd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r42hc72bb7e_2.tar.bz2”h0Œ@10e230dfc708d6eeb6d2f4695d54f206c80fdc3d2470dba0c1b8287de32d0562”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ.e?}hEJŠ hFˆubh)”}”(hŒ
r-gridbase”h#Œ0.4_7”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ)r-gridbase-0.4_7-r36h6115d3f_1002.tar.bz2”h+Œ 7a45b1e80ecce7a789b3ff59c9aed8a5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r36h6115d3f_1002.tar.bz2”h0Œ@e20240e8d513a6c543c2407914197dce0ee84122e8f57ce65ca68f16feb552b5”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×K°²:°!hEJ¦ hFˆubh)”}”(hŒr-jsonld”h#Œ2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-jsonld-2.2-r41hc72bb7e_1.tar.bz2”h+Œ 915582d052f9ca428a44ec51da16451f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jsonld-2.2-r41hc72bb7e_1.tar.bz2”h0Œ@66a20ec2555e466bfce722e570f9accd3abf5a0a5d4ba8ba2a96f8473df80394”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl >=2.7”Œ
r-jsonlite”Œr-v8”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÔ$Ö¤Ý/hEJD hFˆubh)”}”(hŒr-phylotools”h#Œ0.2.2”h%Œr40h6115d3f_0”h'K hhh(h)hŒ(r-phylotools-0.2.2-r40h6115d3f_0.tar.bz2”h+Œ fdfa4e93251b9a9cf537fda67b88de5f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-phylotools-0.2.2-r40h6115d3f_0.tar.bz2”h0Œ@da6d46a84a6446e06756f2a9f700cb103383260186727ec0dedf59abbf8b22c8”h2NhNh3Œr-ape”Œr-base >=4.0,<4.1.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Õ',·¾whEJ˜ hFˆubh)”}”(hŒnapari-script-editor”h#Œ0.2.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/napari-script-editor-0.2.9-pyhd8ed1ab_0.tar.bz2”h+Œ 0be6f88b9a5c4c44ca601ab6b172acb1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/napari-script-editor-0.2.9-pyhd8ed1ab_0.tar.bz2”h0Œ@44f4904e00e3d49bc9bdb49930632f530dc4b227b8162ea440dfae5cdeb6ba5c”h2NhNh3(Œ"haesleinhuepf-pyqode.core >=2.15.5”Œ$haesleinhuepf-pyqode.python >=2.15.2”Œimageio !=2.22.1”Œjedi >=0.18.0”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnapari-tools-menu”Œnumpy”Œpyflakes <=2.4.0”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÏ¶]c÷ÏhEMB,hFˆubh)”}”(hŒ	junit-xml”h#Œ1.9”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"junit-xml-1.9-pyh9f0ad1d_0.tar.bz2”h+Œ 7b503c6c097fa8677d6ff17d2bfb623f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/junit-xml-1.9-pyh9f0ad1d_0.tar.bz2”h0Œ@b89ace740500f4a311475ae44add2675d72dc42c02971910ea844812edf93736”h2NhNh3Œpython”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Ý, Kt¼hEM)hFˆubh)”}”(hŒr-naivebayes”h#Œ0.9.7”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-naivebayes-0.9.7-r36h6115d3f_0.tar.bz2”h+Œ 70f7f3f5aa6d54ae1ee4729b4bc611bd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-naivebayes-0.9.7-r36h6115d3f_0.tar.bz2”h0Œ@93df98921ad9ae243c9243dc78a0f6dcc3571afcc687c29a7120ff28c26defc9”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×™TDÀr°hEJ£ä hFˆubh)”}”(hŒpatsy”h#Œ0.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ patsy-0.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ 50ef6b29b1fb0768ca82c5aeb4fb2d96”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/patsy-0.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@9d232f9cda05ce1833a7e5b16db4486ddfb71318635047fb64de119d364e0259”h2NhNh3(Œnumpy >=1.4.0”Œpython >=3.6”Œscipy”Œsix”t”h9h?h@ŒBSD-2-Clause AND PSF-2.0”hBŒBSD”hDGAØÐÔw”ÌÍhEJô hFˆubh)”}”(hŒ	r-sparktf”h#Œ0.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-sparktf-0.1.0-r36h6115d3f_1.tar.bz2”h+Œ 158b5f62a7b4f3acc8fec0636369dcc5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sparktf-0.1.0-r36h6115d3f_1.tar.bz2”h0Œ@ac80df3b677e5b5c5fd12c405963ae16a6458b564b4ffd15040853c2b93d746b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-sparklyr >=1.0”†”h9hºh@ŒApache (>= 2.0)”hBŒAPACHE”hDGA×L«ðQº^hEMÁ\hFˆubh)”}”(hŒtreegp”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!treegp-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0de55d521ef1eac1dc1fc059df725112”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/treegp-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6a87abfb6ef6f23d511ffaf90d0bf9bf690afd4f9af84748a12ddc6f9d1294c3”h2NhNh3(Œfitsio >=0.9.12”Œiminuit”Œnumpy”Œpython >=3.6”Œscikit-learn >=0.18”Œscipy”Œtreecorr >=4.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ-³›t¼hEMMhFˆubh)”}”(hŒ	r-lassopv”h#Œ0.2.0”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ(r-lassopv-0.2.0-r42hc72bb7e_1003.tar.bz2”h+Œ 4e801e53ffe362f1642ec73a1be4b8a8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-lassopv-0.2.0-r42hc72bb7e_1003.tar.bz2”h0Œ@3392139ecdd00a29fb57aaa6bc658e1c30fdc1692e329960f2244734af094410”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lars”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒZF¾whEM8‰hFˆubh)”}”(hŒjanome”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!janome-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6d114295ded6305b5fdba7b36bbdfe40”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/janome-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@fa2e75e441ad7e74ca6d861633efd5dcd645c1cc6e83707e8b6f8bf28ab413f2”h2NhNh3Œpython >=3.7”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ…Ÿ9´9XhEJDžç hFˆubh)”}”(hŒr-rcmdrmisc”h#Œ2.7_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-rcmdrmisc-2.7_2-r42hc72bb7e_1.tar.bz2”h+Œ 711949a99c2be07f28b8218f0ce5ea47”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rcmdrmisc-2.7_2-r42hc72bb7e_1.tar.bz2”h0Œ@294f6a6a2ad371100a8b2572e8ac450aa37c67c6e1aa1e959816f866dfb9b10a”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-car >=3.0_0”Œr-colorspace”Œr-e1071”Œ	r-foreign”Œr-haven”Œr-hmisc >=4.1_0”Œr-mass”Œ	r-nortest”Œr-readstata13”Œr-readxl”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓY›©hshEJíŒ hFˆubh)”}”(hŒr-censusgeography”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ-r-censusgeography-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 5960ed40d503189c81dc85215db60ae8”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-censusgeography-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@f8f230c1c987665dab50890d7e5579cbcbd2461b847fd3b58e455adcebe400b9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-qdaptools”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒœKe?}hEM“÷hFˆubh)”}”(hŒr-dmwr2”h#Œ0.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-dmwr2-0.0.2-r42hc72bb7e_1.tar.bz2”h+Œ 01bfe9723178cb1d30e90c0e2f19938b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dmwr2-0.0.2-r42hc72bb7e_1.tar.bz2”h0Œ@21581497b3666227816cfdcaeb3b2d0e0f59996c292e51aef9aa9370d2b7abd3”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-class >=7.3_14”Œr-dbi >=0.5”Œr-dplyr >=0.4.3”Œr-quantmod >=0.4_5”Œr-readr >=1.0.0”Œr-rpart >=4.1_10”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ†±Û#hEJZ¨1 hFˆubh)”}”(hŒ	metaphone”h#Œ0.6”h%Œpyhd8ed1ab_1005”h'Míhhh(h)hŒ%metaphone-0.6-pyhd8ed1ab_1005.tar.bz2”h+Œ db5f0bf377740467ca9b7be61b999349”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/metaphone-0.6-pyhd8ed1ab_1005.tar.bz2”h0Œ@d96a8af6337d8b94a571cb5f9beec1af42b01fb7de03a7c11e21ba9ba0694ee5”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÅ¡µ-hEM+>hFˆubh)”}”(hŒiso3166”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"iso3166-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1b840d043530b7b85a72ba5083d5b179”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/iso3166-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b95ba946aa80024b9b169f02d3afac52055f74552b4f4e96070a1077ffd695de”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ³T¨´záhEM§6hFˆubh)”}”(hŒtamkin”h#Œ1.2.6”h%Œpy_2”h'Khhh(h)hŒtamkin-1.2.6-py_2.tar.bz2”h+Œ d0ee9d5da50edd85818728186b869928”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/tamkin-1.2.6-py_2.tar.bz2”h0Œ@b4b6628326966642e9c4e7afa1f60e20179f373948a4d40fa864499793b0d4dc”h2NhNh3(Œmatplotlib-base >1.1”Œmolmod >=1.4.5”Œnumpy >=1.0”Œpython”Œscipy >=0.17.1”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×‘‰]?}hEJa½7 hFˆube(h)”}”(hŒgisdata”h#Œ0.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"gisdata-0.5.4-pyhd8ed1ab_0.tar.bz2”h+Œ 79b45ef17f88f8003e96c8a5fdf85571”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/gisdata-0.5.4-pyhd8ed1ab_0.tar.bz2”h0Œ@dcfc51449b892516fdd38f903842e9890222f245666a4fad582873d3fe5db7c3”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ·ñ¼é©ühEJœr	 hFˆubh)”}”(hŒ
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r-jsonlite”Œr-leaflet >=2.0.1”Œr-leaflet.extras >=1.0”Œr-leafpm”Œ	r-mapview”Œr-miniui”Œr-sf >=0.5_2”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,_Ù	º^hEJcô hFˆubh)”}”(hŒ	r-scholar”h#Œ0.2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-scholar-0.2.4-r41hc72bb7e_0.tar.bz2”h+Œ ac616c4a673d870c3e41a3c64ef2aeaa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-scholar-0.2.4-r41hc72bb7e_0.tar.bz2”h0Œ@6a23b9ced267dd41d1da76056b281a76dd6b86611ad29f12e639e86f948b42d3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-ggraph”Œr-httr”Œ	r-r.cache”Œr-rvest”Œ	r-stringr”Œr-tidygraph”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¼—ã¡xÕhEJ$= hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ'r-abind-1.4_5-r351h6115d3f_1000.tar.bz2”h+Œ 959236f9186daaf2befb68034c2d9473”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r351h6115d3f_1000.tar.bz2”h0Œ@cf748e5dcf027f044f431d65dccbaf4a28badf0d6528555cb32dc3c7f0220c46”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGAÖûª"ë…hEJZ hFˆubh)”}”(hŒlibxinerama-cos6-x86_64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxinerama-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ 17168b3e9d115f18c1c9172d30091287”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@32bddcd51ebd8c8b9efd46ee33ddac2fe518821ed25567cf358e61340377d034”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3Ÿ¾vÉhEM%hFˆubh)”}”(hŒ
r-ipflasso”h#Œ1.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-ipflasso-1.1-r40hc72bb7e_1.tar.bz2”h+Œ 1f662fa70cb84dd46397c29ae38a5799”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipflasso-1.1-r40hc72bb7e_1.tar.bz2”h0Œ@9273b1d815bd07b709ccfe02970a5c9f36ca6016e8a40a9129c849cb29c81926”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-glmnet”Œ
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Apache-2.0”hBŒAPACHE”hDGA×þ¿(öhEJ^Á hFˆubh)”}”(hŒr-loader.java”h#Œ1.1.1”h%Œr36ha770c72_0”h'K hhh(h)hŒ)r-loader.java-1.1.1-r36ha770c72_0.tar.bz2”h+Œ 98ed01d3cfeec5e3c3a416e51a24d1b8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-loader.java-1.1.1-r36ha770c72_0.tar.bz2”h0Œ@a10f69ff8f981b412c4ad08005e9fddf07a447de6385979373d5ed10fb5a46b2”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ ~²}¡ËhEJÇZ4hFˆubh)”}”(hŒlibxrender-devel-cos7-aarch64”h#Œ0.9.10”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:libxrender-devel-cos7-aarch64-0.9.10-h9b0a68f_1105.tar.bz2”h+Œ b69ae55df09d14966a10e0393f339c40”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-aarch64-0.9.10-h9b0a68f_1105.tar.bz2”h0Œ@75734810d487c0c4857cad11c6553cc2abaca297889845a860e956b999ae6198”h2NhNh3Œ'libxrender-cos7-aarch64 ==0.9.10 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@“3uÒòhEMÜ0hFˆubh)”}”(hŒmarshmallow”h#Œ2.20.5”h%Œpy_0”h'K hhh(h)hŒmarshmallow-2.20.5-py_0.tar.bz2”h+Œ 6e997991c8db3fed3f5b8dacbb4e4c3b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/marshmallow-2.20.5-py_0.tar.bz2”h0Œ@94504a092a404ce67a126eefd287cf03c91ace89992ddc0e89e178ecd1cd1004”h2NhNh3Œpython 2.7|>=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGA×—µ„ã÷ÏhEJé* hFˆubh)”}”(hŒpyplif-hippos”h#Œ0.1.2”h%Œpy_0”h'K hhh(h)hŒ pyplif-hippos-0.1.2-py_0.tar.bz2”h+Œ 0897a8993afe16f4917b868201092c29”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyplif-hippos-0.1.2-py_0.tar.bz2”h0Œ@737463d0613d17adf6bc244f493d6826fa0674a7f26a9523a2061c43fcfead22”h2NhNh3(Œbitarray >=0.8”Œnumpy >=1.6”Œopenbabel >=2.2”Œpython >=3.6”t”h9h?h@ŒMHPND”hDGA×Ñ{›ët¼hEJ÷ hFˆubh)”}”(hŒlibibumad-devel-cos6-x86_64”h#Œ1.3.9”h%Œha826a6f_103”h'Kghhh(h)hŒ6libibumad-devel-cos6-x86_64-1.3.9-ha826a6f_103.tar.bz2”h+Œ 4a67f5039328098e49d2b2f2b3504870”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libibumad-devel-cos6-x86_64-1.3.9-ha826a6f_103.tar.bz2”h0Œ@798d9df459d14d353191687c7800e634741a89e29f174c8ce6c4501a157e6305”h2NhNh3Œ#libibumad-cos6-x86_64 ==1.3.9 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,·ÄýôhEM…=hFˆubh)”}”(hŒ	qarrayrun”h#Œ1.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$qarrayrun-1.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ dea40fc4f24c57fb8f99c5514e908683”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/qarrayrun-1.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@3790f4103b1f99c9dbe04adab896662be54800c93165b4a25364892c14d5ec90”h2NhNh3Œpython”…”h9h?h@ŒBSD”hBŒBSD”hDGA×ª$í‘hEM3)hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGA×¬žÞƒ÷ÏhEJ hFˆubh)”}”(hŒdask”h#Œ	2022.10.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dask-2022.10.2-pyhd8ed1ab_0.tar.bz2”h+Œ 67be710544e92ae5b31c989344984784”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dask-2022.10.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c4af42413b35a1305701c7b4f686329ffd93f45ca398c647c947b2fcc3b31957”h2NhNh3(Œbokeh >=2.4.2,<3”Œcytoolz >=0.8.2”Œ$dask-core >=2022.10.2,<2022.10.3.0a0”Œ&distributed >=2022.10.2,<2022.10.3.0a0”Œjinja2”Œlz4”Œnumpy >=1.18”Œpandas >=1.0”Œpython >=3.8”t”h6Œopenssl !=1.1.1e”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØØRI_PhEMOhFˆubh)”}”(hŒr-r.rsp”h#Œ0.45.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-r.rsp-0.45.0-r42hc72bb7e_1.tar.bz2”h+Œ 5daec3159f24ebda7eed85d64c7fab42”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r.rsp-0.45.0-r42hc72bb7e_1.tar.bz2”h0Œ@c7bec6d9d797a59e5165bde097d861c586e2ea04de42f4d14b0d5b041d48199b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest >=0.6.13”Œ	r-r.cache”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.23.0”Œ	r-r.utils”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØÒ/Âï®hEJ1 hFˆubh)”}”(hŒgtk2-cos7-ppc64le”h#Œ2.24.31”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.gtk2-cos7-ppc64le-2.24.31-hdf0574f_102.tar.bz2”h+Œ 7ad8c85cf6996bb4820a1b0051313372”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gtk2-cos7-ppc64le-2.24.31-hdf0574f_102.tar.bz2”h0Œ@8809e89c287cd4b6125bf2d56901a0a9d273df89c88640e36ab677bf33c1cf69”h2NhNh3(Œatk-cos7-ppc64le >=1.29.4 *_102”Œ!glib2-cos7-ppc64le >=2.28.0 *_102”Œ"libtiff-cos7-ppc64le >=3.6.1 *_102”Œ'libxrandr-cos7-ppc64le >=1.2.99.4 *_102”Œ!pango-cos7-ppc64le >=1.20.0 *_102”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅikŠÀƒhEJü> hFˆubh)”}”(hŒ
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python >=3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Dø+©XhEM’ËhFˆubh)”}”(hŒ
joommfutil”h#Œ0.8.4”h%Œpy_2”h'Khhh(h)hŒjoommfutil-0.8.4-py_2.tar.bz2”h+Œ 1268e6f30ddd863c52b0f0bd14862b74”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/joommfutil-0.8.4-py_2.tar.bz2”h0Œ@56c8940da9840c3142955443dedd658c5ad0de5d384052a6612a4e1a5eb8fa85”h2NhNh3Œnumpy”Œpytest”Œpython >=3.6”‡”h9h?h@ŒBSD 3-clause”hDGA×›aZ^5hEM€0hFˆubh)”}”(hŒ_dvc-ssh”h#Œ1.9.0”h%ja h'Khhh(h)hŒ_dvc-ssh-1.9.0-1.tar.bz2”h+Œ 198e7982c1d42fb7cea9342cb841fd81”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/_dvc-ssh-1.9.0-1.tar.bz2”h0Œ@a92e99a9c791fb2b7314f0a84025f3b37bb71c0566df57a721908c8bfbc3c247”h2NhNh3Œ_dvc 1.9.0 py37hc8dfbb8_1”Œinvoke >=1.3”Œparamiko >=2.7.0”‡”h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×åÍÄ?+hEM1%hFˆubh)”}”(hŒr-transformer”h#Œ2.1.5”h%Œr36ha770c72_0”h'K hhh(h)hŒ)r-transformer-2.1.5-r36ha770c72_0.tar.bz2”h+Œ 7bdd00b3c084514b81801a02f081d9d4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-transformer-2.1.5-r36ha770c72_0.tar.bz2”h0Œ@5c26ec166ac99d4a7e5faf0322fd2848809f4852ac2c11082207041427a633c6”h2NhNh3(Œr-abind”Œr-akima”Œr-base >=3.6,<3.7.0a0”Œr-fields”Œ	r-kohonen”Œ
r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡+YÚn˜hEJKÑ
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conda-pack”h#Œ0.7.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ%conda-pack-0.7.0-pyh6c4a22f_0.tar.bz2”h+Œ 84b284cebf2a158306653f9a6961d589”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/conda-pack-0.7.0-pyh6c4a22f_0.tar.bz2”h0Œ@922fa7f915b490daf5c74bc204b369fd1c1b1d08f50638a7134ab412f90df984”h2NhNh3Œpython >=3.6”Œ
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r-openxlsx”Œr-readxl >=0.1.1”Œr-tibble”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐª€Ùë…hEJø: hFˆubh)”}”(hŒgtkmm24-cos7-x86_64”h#Œ2.24.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0gtkmm24-cos7-x86_64-2.24.5-h9d98e8f_1104.tar.bz2”h+Œ a0445aa1b27dd2866d7d38bd7010787b”h.Œ^https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos7-x86_64-2.24.5-h9d98e8f_1104.tar.bz2”h0Œ@d3337053df939d6df250eb46ca07c7fac0c65f4497e6ab5511594cb06d1d315f”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éz~T“hEJš hFˆubh)”}”(hŒrtfde”h#Œ0.0.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ rtfde-0.0.2-pyhd8ed1ab_1.tar.bz2”h+Œ 3b16c0689a19a337485d44a4cbf5c5f7”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rtfde-0.0.2-pyhd8ed1ab_1.tar.bz2”h0Œ@882e27bcb937be8381256714053b4170a8d7a7b992598743a438048e2e9ad0d7”h2NhNh3Œlark-parser >=0.11”Œoletools >=0.56”Œpython >=3.6”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ~)›"ÑhEM`hFˆubh)”}”(hŒzip-cos6-x86_64”h#Œ3.0”h%Œ2”h'Khhh(h)hŒzip-cos6-x86_64-3.0-2.tar.bz2”h+Œ 9db0332dd29dc33681f005ac1dfca7c9”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/zip-cos6-x86_64-3.0-2.tar.bz2”h0Œ@f8766d423a6516d39b6cd3716e60411f241f3ab812516d58dac6676966ca26a8”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×½™ƒbhEJ| hFˆubh)”}”(hŒbmorph”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!bmorph-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ aba9230078b51e0930d9eef853aaf42f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/bmorph-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@4e4f68ded0d927fb628a149409a689a7315d1abe5bebc70ff6411e77558dba02”h2NhNh3(Œ
bottleneck”Œdask”Œ	geopandas”Œgraphviz”Œjoblib”Œjupyter”Œ	mizuroute”Œnetcdf4”Œnetworkx”Œnumpy”Œpandas”Œ
pygraphviz”Œpyproj >=3.0.0”Œpython >=3.6”Œscikit-learn”Œscipy”Œseaborn”Œtoolz”Œtqdm”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ>nDQìhEMï÷hFˆubh)”}”(hŒlibxrender-devel-cos7-ppc64le”h#Œ0.9.10”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9libxrender-devel-cos7-ppc64le-0.9.10-h9d98e8f_104.tar.bz2”h+Œ 9299bb65aea93e853c14072d67fa0d5c”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-ppc64le-0.9.10-h9d98e8f_104.tar.bz2”h0Œ@874d3fb1a1c5c48b4b1e47fd62c9fbdd50aa19c6d0bb3e12d0c0ee9e398785b2”h2NhNh3Œ&libxrender-cos7-ppc64le ==0.9.10 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}ñªhEMï/hFˆubh)”}”(hŒnss-util-cos7-aarch64”h#Œ3.44.0”h%Œh1795305_1101”h'MMhhh(h)hŒ2nss-util-cos7-aarch64-3.44.0-h1795305_1101.tar.bz2”h+Œ 3329c7f7025cd9aa7fbd621d8216523a”h.Œ`https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-aarch64-3.44.0-h1795305_1101.tar.bz2”h0Œ@2bca79bb8ba7c98674cc839bc45a7dbfdc0bf33b1a460f80433f0003234b7e13”h2NhNh3Œnspr-cos7-aarch64 >=4.21.0”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇ–^¸RhEJÿK hFˆubh)”}”(hŒr-autostats”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-autostats-0.4.0-r42hc72bb7e_0.tar.bz2”h+Œ 751f0cbca3a8510b6c9f4c42b4a981bc”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-autostats-0.4.0-r42hc72bb7e_0.tar.bz2”h0Œ@3790197a53869069207997249a7e8f7deadeccc2e118728ee10a773eaaf7cf8a”h2NhNh3(Œ
r-agtboost”Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-data.table”Œr-dials”Œr-doparallel”Œr-dplyr”Œr-flextable”Œr-foci”Œ	r-forcats”Œr-framecleaner”Œr-ggeasy”Œ	r-ggplot2”Œ
r-ggthemes”Œr-gtools”Œ	r-janitor”Œr-jtools”Œr-lubridate”Œ
r-magrittr”Œr-nnet”Œ	r-parsnip”Œr-party”Œr-patchwork”Œr-presenter”Œr-purrr”Œr-readr”Œ	r-recipes”Œr-recosystem”Œr-rlang”Œr-rlist”Œ	r-rsample”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-tune”Œr-workflows”Œ	r-xgboost”Œr-xicor”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÚ@OJ-hEJQ¤ hFˆubh)”}”(hŒjavapackages-tools-cos7-ppc64le”h#Œ3.4.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ;javapackages-tools-cos7-ppc64le-3.4.1-ha826a6f_1103.tar.bz2”h+Œ c9e3f30b887b4f68abe414c08ca617bb”h.Œihttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-ppc64le-3.4.1-ha826a6f_1103.tar.bz2”h0Œ@2caa0e1ba7cb12d7f566fbd4c70b32a8d77f78d6797dd20ed5ce6ee2a9283b70”h2NhNh3Œ/python-javapackages-cos7-ppc64le ==3.4.1 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ1¾¢°!hEM9ÝhFˆubh)”}”(hŒr-starticles”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-starticles-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ ec1cf5cf5915b28b0f359875c4f980eb”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-starticles-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@94cf53a4188b0dff7b901fb569218daecd52dc0ca1518f7935b125db28224d9e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-bookdown”Œr-knitr”Œr-rmarkdown”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ®\ž\9XhEMíËhFˆubh)”}”(hŒr-xtable”h#Œ1.8_4”h%Œr41hc72bb7e_4”h'Khhh(h)hŒ$r-xtable-1.8_4-r41hc72bb7e_4.tar.bz2”h+Œ 9341e0a6f644132e237e7efe30ae6cda”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-xtable-1.8_4-r41hc72bb7e_4.tar.bz2”h0Œ@fb766bcd171256fd67d5d0a95f59ef3c08a8ca9ffe25a18561bedfb7da129866”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÐ.wàÄœhEJ7ð
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r-sandwich”h#Œ3.0_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-sandwich-3.0_2-r41hc72bb7e_1.tar.bz2”h+Œ dc9c7055f096ae0432607548e11003e0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sandwich-3.0_2-r41hc72bb7e_1.tar.bz2”h0Œ@bedf767006b5093a724b0dbaaf231d59d823bc25cce19f6f21553756f0d6305d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-zoo”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐ;Û°ÔþhEJô~ hFˆubh)”}”(hŒg2p-en”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!g2p-en-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5dd87088008cc510b5996c8e5d95b58e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/g2p-en-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1603abddffc05b39d7db7314c0e603edbfd7251daa56cec9e114d0ddd8e1674a”h2NhNh3(Œdistance >=0.1.3”Œinflect >=0.3.1”Œnltk >=3.2.4”Œnumpy >=1.13.1”Œ
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r-magrittr”Œr-r6”Œr-rlang >=0.1.2”Œr-scales”Œ	r-stringr”Œ	r-svglite”Œr-vroom”Œr-websocket >=1.0.0”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒh—hEJ›	 hFˆubh)”}”(hŒimlib”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ imlib-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 38ac8a477614e13cdeb9e4b33e1d1d5d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/imlib-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@319c8b457cb74a01a2eabd4214c49b89cf3c3b3f9f1c98460d99c2594c293354”h2NhNh3(Œ	configobj”Œ	micrometa”Œnatsort”Œpandas”Œpsutil”Œpython >=3.7”Œpyyaml”Œscikit-image”Œscipy”Œseaborn”Œslurmio”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ~ e™7LhEM×jhFˆubh)”}”(hŒgtkmm24-cos6-x86_64”h#Œ2.18.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/gtkmm24-cos6-x86_64-2.18.2-h9d98e8f_104.tar.bz2”h+Œ 633335729ee23ace9139fedc6c7fb4cb”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos6-x86_64-2.18.2-h9d98e8f_104.tar.bz2”h0Œ@3c7651124d743db8aa71e098ed0aa8147c6a30b1a8470b3d4c2ff5fd78cacb11”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉyŠo\)hEJrý hFˆubh)”}”(hŒjupyter-videochat”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jupyter-videochat-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 31a916ab8f7a122a90c20d4fa96d315c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyter-videochat-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d184e9677ea6918b9af6dd37b757bb82ead1e518ba119f0c7c31ae55a54bd9ca”h2NhNh3Œescapism”Œjupyterlab 3.*”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ’‰±ûçhEMI†hFˆubh)”}”(hŒr-verification”h#Œ1.42”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ,r-verification-1.42-r35h6115d3f_1001.tar.bz2”h+Œ baa60a31552f77d74037533c8b5eefc3”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-verification-1.42-r35h6115d3f_1001.tar.bz2”h0Œ@94366f82e336b31cb349fad85bcf4994855cdac9d67c1b45d292762a4c37e6d8”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-boot”Œr-circstats”Œr-dtw”Œr-fields”Œr-mass”t”h9hºh@Œ
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r-numderiv”Œr-plotly”Œr-rcolorbrewer”Œ
r-rmariadb”Œr-sqldf”Œ	r-stringr”Œ
r-tcplfit2”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÚ©òGß;hEJ˜ hFˆubh)”}”(hŒreals”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ reals-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ cdb27afc7b42cae06a220aadb77850a2”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/reals-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@39751f8c1f60e7b853c262d222bbdb076047376dfc759f25c4fdb8d2159b9f6d”h2NhNh3Œpython >=3.10”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÙ„J¬hEM5GhFˆubh)”}”(hŒmsgfy”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ msgfy-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ cbc15a538e5d483b6be3526fba5b9608”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/msgfy-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d3a06f786fc4227b3413307573660dbf7ed30a280d6c81633587ab433df780e6”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ[›ÁxÕhEMç hFˆubh)”}”(hŒsvg42pdf”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#svg42pdf-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 550ad2265633a4019f871a66d5ada344”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/svg42pdf-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@dac92e64d3b4cfe8b8a37b5130797b627325e63766b223ff0cbed4ec2a2ac734”h2NhNh3Œcairosvg”Œpython >=3.6”Œ	reportlab”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØe¤Þh£×hEMæahFˆubh)”}”(hŒlibnl3-devel-cos7-ppc64le”h#Œ3.2.28”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libnl3-devel-cos7-ppc64le-3.2.28-h9b0a68f_1105.tar.bz2”h+Œ 376d3fc2119fe2eaa7c40ed0af980c91”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos7-ppc64le-3.2.28-h9b0a68f_1105.tar.bz2”h0Œ@2573d1ef7454ea0f85bd21aade982fa46263291daa42c75a56dbcf8949f69395”h2NhNh3Œ'libnl3-cli-cos7-ppc64le ==3.2.28 *_1105”Œ#libnl3-cos7-ppc64le ==3.2.28 *_1105”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@Â ÅhEM‡àhFˆubh)”}”(hŒumami”h#Œ2.0.0b3”h%Œpy_0”h'K hhh(h)hŒumami-2.0.0b3-py_0.tar.bz2”h+Œ 03734d8fa4af876c72f7cd3cfdf40f82”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/umami-2.0.0b3-py_0.tar.bz2”h0Œ@0cc6a62ca86f6cef7198dfa52c7f98242a489036d879e931b03fcaa8cad6a9c4”h2NhNh3(Œlandlab >=2.0.0b5,<2”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×—kµ|îhEMRhFˆubh)”}”(hŒoffset-subtraction”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-offset-subtraction-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ a66dbf48c98b63d15f30476abc78f19a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/offset-subtraction-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@bd522dfb2ba58c105e5db1cf1d53bcc151b184f234e0f2b89a2682bd50871660”h2NhNh3(Œ	dask-core”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØA‰d‹DhEM²$hFˆubh)”}”(hŒequilibrator-cache”h#Œ0.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-equilibrator-cache-0.4.3-pyhd8ed1ab_0.tar.bz2”h+Œ 6cc998e55f9597a858bbb76ec987db09”h.Œ[https://conda.anaconda.org/conda-forge/noarch/equilibrator-cache-0.4.3-pyhd8ed1ab_0.tar.bz2”h0Œ@bc63165713ffd9c74c2fbf30b9cabe6a554e681f9f109ad008dbf949c7781948”h2NhNh3(Œappdirs ~=1.4”Œhttpx ~=0.16”Œimportlib_resources”Œnumpy ~=1.19”Œpandas ~=1.0”Œperiodictable ~=1.5”Œpint ~=0.14”Œpython >=3.6”Œpython-levenshtein”Œpyzenodo3 ~=1.0”Œscipy ~=1.5”Œsqlalchemy >=1.3,<1.4”Œtenacity ~=6.2”Œtqdm ~=4.50”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ7Ã1“SøhEMNihFˆubh)”}”(hŒr-pzfx”h#Œ0.3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-pzfx-0.3.0-r41hc72bb7e_0.tar.bz2”h+Œ a4bef2e657d50fe4e30b04dca59ade1c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pzfx-0.3.0-r41hc72bb7e_0.tar.bz2”h0Œ@ed7f122f47369bd233849ad508292132095b8dd9e17fe05a9ad782afac9c7be4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-xml2 >=1.2.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØNÕî “uhEJÀû	 hFˆubh)”}”(hŒsphinx-design”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(sphinx-design-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 83d1a712e6d2bab6b298b1d2f42ad355”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/sphinx-design-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6b193a483a02bbc7a785dcd28614b4c082d1795fec0a1c48690d8d7a0a876e20”h2NhNh3Œpython >=3.6”Œsphinx >=4,<6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÁ Ã}‘hhEJ3ù hFˆubh)”}”(hŒ
r-hydrogof”h#Œ0.4_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-hydrogof-0.4_0-r40hc72bb7e_0.tar.bz2”h+Œ 6605bb67be81d5fc0e050d19371143fc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hydrogof-0.4_0-r40hc72bb7e_0.tar.bz2”h0Œ@8b49bad520fc2ce09185a2b74488e173b42838b32d9ddf880964bfb3f7011005”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-hydrotsm >=0.5_0”Œr-xts >=0.8_2”Œr-zoo >=1.7_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÃzPhEJ9½ hFˆubh)”}”(hŒ	r-propcis”h#Œ0.3_0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-propcis-0.3_0-r41hc72bb7e_1003.tar.bz2”h+Œ 39046c16872cc1dbf13692fc2ddc0311”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-propcis-0.3_0-r41hc72bb7e_1003.tar.bz2”h0Œ@84ff28a4cec0c0e0bd2e41974ee4a3f89892e37089d843ff56ddfd2e66cf4626”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAØ+¤¨r°hEJ™® hFˆubh)”}”(hŒr-raters”h#Œ2.0.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-raters-2.0.2-r40hc72bb7e_0.tar.bz2”h+Œ 3a60e691942a735c6bf3dea0b0f6e0c2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-raters-2.0.2-r40hc72bb7e_0.tar.bz2”h0Œ@d978566105b2ed5e9e6502cef2802ad88f5dea6890df2a7d55e9744971c0ffd6”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØžMÎ»•hEJÌ hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ+r-numderiv-2016.8_1.1-r35h6115d3f_0.tar.bz2”h+Œ d3561fab04482c54fc93d66fcf83ae5b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r35h6115d3f_0.tar.bz2”h0Œ@248377094845d9cf8e89e4416ef3ea3508ad9adb94917e16c05035e8d328fc41”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×B¥Ý"-hEJQò hFˆubh)”}”(hŒboto3”h#Œ1.17.23”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"boto3-1.17.23-pyhd8ed1ab_0.tar.bz2”h+Œ 9b39f65c0abbc9833ff4ca7a1c53cf13”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/boto3-1.17.23-pyhd8ed1ab_0.tar.bz2”h0Œ@e556e8e8fcafec50401b4e384c602a801d99c211b0193644a76fcc7e7cafc312”h2NhNh3(Œbotocore >=1.20.23,<1.21.0”Œjmespath >=0.7.1,<1.0.0”Œpython >=2.7”Œs3transfer >=0.3.0,<0.4.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ®ð%hEJ¹ hFˆubh)”}”(hŒr-redshifttools”h#Œ1.0.1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ+r-redshifttools-1.0.1-r36h6115d3f_2.tar.bz2”h+Œ f5839f50f1eb9dbee5a56923ba9cf155”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-redshifttools-1.0.1-r36h6115d3f_2.tar.bz2”h0Œ@faacdd57450695b922e420fb8de4fcc2fbc24f22c93f6619a6b8cf20c9551418”h2NhNh3(Œr-aws.s3”Œr-base >=3.6,<3.7.0a0”Œr-dbi”Œ
r-progress”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×­$}ãThEM8âhFˆubh)”}”(hŒcategorical-distance”h#Œ1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-categorical-distance-1.9-pyhd8ed1ab_0.tar.bz2”h+Œ 8d7ac2d4749d7654cd46e74a589226cc”h.Œ[https://conda.anaconda.org/conda-forge/noarch/categorical-distance-1.9-pyhd8ed1ab_0.tar.bz2”h0Œ@0f7ac4f7478d43b354cc4cc3994fd41068e8aef03bd20c074a0f55500ab01c4c”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØb³”¶§ðhEM¸hFˆubh)”}”(hŒnapari-mrcfile-reader”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0napari-mrcfile-reader-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ a207f1c91c415fd067c714dbb95807ce”h.Œ^https://conda.anaconda.org/conda-forge/noarch/napari-mrcfile-reader-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@533356e513c5802ce102788a906c4b3a6aa7edd0a8b5d040f757a0376c5b111e”h2NhNh3(Œmrcfile >=1.1”Œnapari-plugin-engine >=0.1.4”Œnumpy >=1.18”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~Ø¶5?hEMX%hFˆubh)”}”(hŒ	r-infuser”h#Œ0.2.8”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ(r-infuser-0.2.8-r36h6115d3f_1003.tar.bz2”h+Œ 5f11da93f3c47df5d415c1b6042a2667”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-infuser-0.2.8-r36h6115d3f_1003.tar.bz2”h0Œ@c5093b84ee79f7a5241e0ce9667e522928a3c0527170827c272bf55ea531f0a1”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×­"Zn˜hEMŠhFˆubh)”}”(hŒtexthero”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#texthero-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6fcd6c943e0888d6cb8475c8d5fdb9ee”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/texthero-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@65c66632615021c86e60e7fc6db6cba42d96fca76653ad7a3b3b6cd05d78f40b”h2NhNh3(Œgensim >=3.6.0,<4.0”Œmatplotlib-base >=3.1.0”Œ
nltk >=3.3”Œnumpy >=1.17”Œpandas >=1.0.2”Œplotly >=4.2.0”Œpython >=3.6”Œscikit-learn >=0.22”Œspacy <3.0.0”Œ
tqdm >=4.3”Œunidecode >=1.1.1”Œwordcloud >=1.5.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ­ú²JhEMšchFˆubh)”}”(hŒr-korpus”h#Œ0.13_8”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ%r-korpus-0.13_8-r36hc72bb7e_0.tar.bz2”h+Œ 7a0e73f938d0abc68aabf61b9362452f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-korpus-0.13_8-r36hc72bb7e_0.tar.bz2”h0Œ@606b3c484c548c3fa52aec032f99c42b265c314db297ef82c3106b1e6a00f66a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-matrix”Œr-sylly >=0.1_6”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ(Á¥r°hEJ@Ë hFˆubh)”}”(hŒharfbuzz-cos7-ppc64le”h#Œ1.7.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0harfbuzz-cos7-ppc64le-1.7.5-h9b0a68f_105.tar.bz2”h+Œ 91904bdbe3b360c5f9aa653efcb7df99”h.Œ^https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-ppc64le-1.7.5-h9b0a68f_105.tar.bz2”h0Œ@e7cd7f45b1cd57327de6bae5a52d4ab81835f9562a00b77d4c3baaeb2299e82f”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡:«SøhEJÄ hFˆubh)”}”(hŒr-factormerger”h#Œ0.4.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ*r-factormerger-0.4.0-r40h6115d3f_2.tar.bz2”h+Œ 116d086b7e5dc7f907b780768ae80068”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-factormerger-0.4.0-r40h6115d3f_2.tar.bz2”h0Œ@3511587d8311dbe7d17e4c3369e321358e922d86d43f7484d134f2ba746e15bd”h2NhNh3(Œr-agricolae”Œr-base >=4.0,<4.1.0a0”Œr-colorramps”Œr-dplyr”Œ	r-forcats”Œr-formula.tools”Œ	r-ggplot2”Œr-ggpubr”Œr-knitr”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL”hBŒGPL”hDGA×¬Ò@¿ß;hEJZ—$ hFˆubh)”}”(hŒkernel-headers-cos7-ppc64le”h#Œ3.10.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8kernel-headers-cos7-ppc64le-3.10.0-h9b0a68f_1105.tar.bz2”h+Œ 5e62483320ecea7e67a401e6d9be6c2b”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos7-ppc64le-3.10.0-h9b0a68f_1105.tar.bz2”h0Œ@abf75414e5e7d85ade6a1e6cc58edecbcd2b4b261866de61c8cc63510708a431”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@‰¬!‰7hEMçhFˆubh)”}”(hŒr-leaflet.providers”h#Œ1.9.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ/r-leaflet.providers-1.9.0-r40hc72bb7e_1.tar.bz2”h+Œ 11aae979b17ea83f152a13cf3e192a10”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-leaflet.providers-1.9.0-r40hc72bb7e_1.tar.bz2”h0Œ@714e8c7083b949facc537b66eabe429b62096ceff563f297b6bc11c7dbd23365”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGAØ*Ý`l‹DhEMCÚhFˆubh)”}”(hŒmesa-libgbm-cos7-ppc64le”h#Œ18.3.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5mesa-libgbm-cos7-ppc64le-18.3.4-h9d98e8f_1104.tar.bz2”h+Œ 3c510bb4f83244b4ed45b2aed77df709”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-ppc64le-18.3.4-h9d98e8f_1104.tar.bz2”h0Œ@79d6f113d7851adb5442914bed6f7182db98b621197f25108f942133797c9339”h2NhNh3Œ#libdrm-cos7-ppc64le >=2.4.83 *_1104”Œ*mesa-libglapi-cos7-ppc64le ==18.3.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×É{Ë)%hEMÔƒhFˆubh)”}”(hŒpennylane-qchem”h#Œ0.17.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+pennylane-qchem-0.17.0-pyhd8ed1ab_0.tar.bz2”h+Œ 85561aadb255c3f73725ec0eeef84d1a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pennylane-qchem-0.17.0-pyhd8ed1ab_0.tar.bz2”h0Œ@020a3fc3e150162def8eadd187f26e261aef07f878ef83b62a030a6ffeb02854”h2NhNh3(Œh5py <=3.2.1”Œopenfermion >=1.0”Œopenfermionpsi4 >=0.5”Œopenfermionpyscf >=0.5”Œpennylane >=0.13”Œpyscf >=1.7.2”Œpython >=3.5”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ„ÕC¢MÓhEMº­hFˆubh)”}”(hŒr-xopen”h#Œ1.0.0”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ&r-xopen-1.0.0-r40hc72bb7e_1003.tar.bz2”h+Œ 5c68ba35abe9ade6a3477461d75a36c2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xopen-1.0.0-r40hc72bb7e_1003.tar.bz2”h0Œ@f0d02f5de2a928230ba6a32688cb9ff21dd621fede977182e43c4d365d5ba00f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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r-magrittr”Œ
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qdarkstyle”h#Œ3.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%qdarkstyle-3.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ a58ab0d1051ffe4294fae59ed0fe2f99”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/qdarkstyle-3.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@8a5a6114ec63c13ec94cb0e9e00414ae8976af19755e0400d8c1b93138897ea0”h2NhNh3Œpython >=3.6”Œ
qtpy >=1.9”†”h9h?h@ŒMIT”hBŒMIT”hDGAØiµjCohEJUã hFˆubh)”}”(hŒr-varhandle”h#Œ2.0.5”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-varhandle-2.0.5-r40h6115d3f_1.tar.bz2”h+Œ a59006e9b29f542e656ca0a6b195dbcd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-varhandle-2.0.5-r40h6115d3f_1.tar.bz2”h0Œ@dac006d5f9abdef1cc66306e2ab01cac36be886e19acec60a775a2844d5fe339”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬IŸè  hEJ÷< hFˆubh)”}”(hŒr-rmdpartials”h#Œ0.5.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-rmdpartials-0.5.8-r42hc72bb7e_1.tar.bz2”h+Œ 53cc9994e67d3cf09214c8ee9b18bad5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rmdpartials-0.5.8-r42hc72bb7e_1.tar.bz2”h0Œ@ed07043d20edd2d322d4cbf5d174468ef46d76f3836b364e1957df910c0835a7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-knitr”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐðÒZMÓhEMÜÜhFˆubh)”}”(hŒmesa-libgl-devel-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9mesa-libgl-devel-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h+Œ 997d141e88fc9f4fcf5eaf2f05f6e172”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@15802d66d70c31ae4122918d76ea1ca99f76892fcc03bf402d313f4d42df41c0”h2NhNh3Œ*mesa-khr-devel-cos7-aarch64 ==18.3.4 *_105”Œ&mesa-libgl-cos7-aarch64 ==18.3.4 *_105”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@_æ‚^5hEJ–‰ hFˆubh)”}”(hŒr-gpfit”h#Œ1.0_8”h%Œr35h6115d3f_0”h'K hhh(h)hŒ#r-gpfit-1.0_8-r35h6115d3f_0.tar.bz2”h+Œ 985eae7a6251a91f994aaffd9b5f70ba”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gpfit-1.0_8-r35h6115d3f_0.tar.bz2”h0Œ@44e19584c3e95498741fd72adc5aff4cd6fcb97f3f0afd57000c4082cb304c00”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-lattice >=0.18_8”Œr-lhs >=0.5”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×’–zï hEJý[ hFˆubh)”}”(hŒr-miniui”h#Œ0.1.1.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ)r-miniui-0.1.1.1-r36h6115d3f_1002.tar.bz2”h+Œ ac8d1d17589ed60cf562dd6de6eb9d2f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-miniui-0.1.1.1-r36h6115d3f_1002.tar.bz2”h0Œ@0946c21811447044dc43c8a5cc57b5442405f4eee02214c5153fd0ae3fe2ae3d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-htmltools >=0.3”Œr-shiny >=0.13”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«òß3dZhEMëÌhFˆubh)”}”(hŒ
r-epitools”h#Œ0.5_10.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-epitools-0.5_10.1-r42hc72bb7e_0.tar.bz2”h+Œ 9b7ee48927acc0c582f66030880633f5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-epitools-0.5_10.1-r42hc72bb7e_0.tar.bz2”h0Œ@2ccf35d1955b30680a93ec90be4b2382d2d6f1bf0d24095d4342067d77065989”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÙ4åãThEJž+ hFˆubh)”}”(hŒ	r-rafalib”h#Œ1.0.0”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ(r-rafalib-1.0.0-r40hc72bb7e_1002.tar.bz2”h+Œ a37e1759173306c46ec0ce6866433a09”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rafalib-1.0.0-r40hc72bb7e_1002.tar.bz2”h0Œ@06dc5e6e6d92ea19e83924f7872c71123494a219a3894ce594860311f7fc542b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rcolorbrewer”†”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ+%¢ò°!hEMÄÿhFˆubh)”}”(hŒties_md”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"ties_md-1.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ d40bc8a80f499405d37ae429293a6853”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ties_md-1.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@388ee3a36e8860f11a0e15391ec3b4f4c49e46db919b03fb27048962cce46b2c”h2NhNh3(Œdocopt”Œmatplotlib-base”Œmultiprocess”Œnumpy”Œopenmm”Œopenmmtools”Œpymbar 4.0.1.*”Œpython >=3.7”Œscikit-learn”Œscipy”Œseaborn”Œsix”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÐ	{€õÃhEJ2+M hFˆubh)”}”(hŒnose-parameterized”h#Œ0.6.0”h%Œpy_0”h'K hhh(h)hŒ%nose-parameterized-0.6.0-py_0.tar.bz2”h+Œ 0747bf53c085a27660366faf66e21e89”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/nose-parameterized-0.6.0-py_0.tar.bz2”h0Œ@06f3df7b0c6d9b99ef0e97f4544816bf09727d0940eca43a996010edd1296a87”h2NhNh3Œpython”…”h9h?h@ŒBSD 2-Clause”hEMÆ-hFˆubh)”}”(hŒr-qiimer”h#Œ0.9.4”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ'r-qiimer-0.9.4-r36h6115d3f_1003.tar.bz2”h+Œ 80b42ba44fde74a3dd96202d3794e68b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-qiimer-0.9.4-r36h6115d3f_1003.tar.bz2”h0Œ@90588228d04d30f8cc3e47f47098c41d83e8803e339d014105de12cee752adb3”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×¬hrÉ©ühEJ~ú hFˆubh)”}”(hŒr-tnet”h#Œ3.0.16”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-tnet-3.0.16-r42hc72bb7e_0.tar.bz2”h+Œ 01db43a321e00d3c23fb722c6b7d7c2c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-tnet-3.0.16-r42hc72bb7e_0.tar.bz2”h0Œ@3e025f9519401f8f81fae5c4e8327c9c2d6ab491bbd9765ef7d6ecaac22bf408”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-igraph”Œ
r-survival”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ0ýVhEJŽ  hFˆubh)”}”(hŒsklearn2pmml”h#Œ0.81.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(sklearn2pmml-0.81.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6522883b5de1285fdf4cc937b274f3c7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/sklearn2pmml-0.81.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ea30aa923cbdf065e2e613267cfd476ee80c4423fbe9fc03ed530dae6c5a768b”h2NhNh3(Œjoblib >=0.13.0”Œpython >=2.7”Œscikit-learn >=0.18.0”Œsklearn-pandas >=0.0.10”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØ¬1‡®hEJZ½^ hFˆubh)”}”(hŒr-rex”h#Œ1.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-rex-1.2.1-r40hc72bb7e_0.tar.bz2”h+Œ 93d2b76cea606513c11519fb137ff12c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rex-1.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@baaa628e808f853bbf6ed0a2a81e34b1e8f15d63a7066214cf528cb829012223”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-lazyeval”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØhL±=OßhEJÛ hFˆubh)”}”(hŒmesa-libglapi-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6mesa-libglapi-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h+Œ 36b17333f73a06e69b62da9dd8342247”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h0Œ@d377ed1dbb9cd692ee0a0b174587178346a0f8211d028a8a98ff756e8bc6e918”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å*ê¥ó¶hEMé²hFˆubh)”}”(hŒpendulum”h#Œ1.4.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ#pendulum-1.4.4-pyhd8ed1ab_2.tar.bz2”h+Œ 01991c20d316f354f6ad3bb1fd9ec07f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pendulum-1.4.4-pyhd8ed1ab_2.tar.bz2”h0Œ@fc0d796200703796b5bd48feb7c5aa472ca11d147465947a0cf1b4cf33966dbe”h2NhNh3(Œpython >=3.6”Œpython-dateutil”Œpytzdata”Œtzlocal”t”h9h?h@ŒMIT”hBŒMIT”hDGA×êi¤jhEJ5 hFˆubh)”}”(hŒr-rversions”h#Œ2.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-rversions-2.1.2-r41hc72bb7e_1.tar.bz2”h+Œ 4d61c7301801deec2a3d5007db5cd93f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rversions-2.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@5c7f187f4fc1a2e5cf21b623ed6c660da0fb39d2f1266a677c3943ff75bd263d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-xml2 >=1.0.0”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ¾Û)xÕhEJ\! hFˆubh)”}”(hŒmne-icalabel”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%mne-icalabel-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 47290fe8c8c9f31bd0a20735c8a28d00”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mne-icalabel-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@7946d39e06de7ac7ee4fe9bc170915ecdc35cc090a986bc0831e11d60968f201”h2NhNh3(Œimportlib-metadata”Œimportlib-resources”Œjoblib”Œ
matplotlib”Œmne-base >=1.0”Œmne-qt-browser”Œnumpy >=1.16.0”Œpooch”Œpython >=3.7”Œpython-picard”Œpytorch”Œqtpy”Œscikit-learn”Œscipy >=1.2.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÁS°MOßhEJü0© hFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libdrm-devel-cos7-ppc64le-2.4.97-h9b0a68f_105.tar.bz2”h+Œ beb1b3ac304996814c4206607a6d87ab”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-ppc64le-2.4.97-h9b0a68f_105.tar.bz2”h0Œ@92be850a0644ba5bf679ccbf5c7e11991e5133437fbbd0bedd3a799cce6bc7c2”h2NhNh3Œ*kernel-headers-cos7-ppc64le >=2.6.27 *_105”Œ"libdrm-cos7-ppc64le ==2.4.97 *_105”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Š§ïžhEJ‡ö hFˆubh)”}”(hŒr-arm”h#Œ1.13_1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-arm-1.13_1-r40hc72bb7e_0.tar.bz2”h+Œ a3ad90c3cc5ab4bb54b0862b42e95d42”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-arm-1.13_1-r40hc72bb7e_0.tar.bz2”h0Œ@78a7e9320f6a7087d4edf2d5daaea16283154cef0dd4bdb331ba75f22a7a6503”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-coda”Œr-hmisc”Œr-lme4 >=1.0”Œr-mass”Œr-matrix >=1.0”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÃ|‘G®hEJ hFˆubh)”}”(hŒ
r-redlistr”h#Œ1.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-redlistr-1.0.3-r41hc72bb7e_1.tar.bz2”h+Œ 467dab4652d68f50b2fa6a7c945f1469”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-redlistr-1.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@5a0ceca4942ff69a4e3af28896bf04d47e1e850c355e82db42b583ebf70e4600”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œr-raster >=2.5_8”Œr-rgeos”Œr-sp >=1.2_4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ'Vs•hEJs hFˆubh)”}”(hŒr-hive”h#Œ0.2_2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-hive-0.2_2-r36h6115d3f_0.tar.bz2”h+Œ d8a3153ca954c6215f9272df2e1cf7dc”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hive-0.2_2-r36h6115d3f_0.tar.bz2”h0Œ@f253a5a16af6cd9f2dd438064b4939ec47de7b9baef1db2965d8ae84621ce816”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava >=0.9_3”Œr-xml”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×†î_}‘hhEJ£¶ hFˆubh)”}”(hŒr-powersurvepi”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-powersurvepi-0.1.3-r41hc72bb7e_0.tar.bz2”h+Œ 506ecea585d968434a58d87349cc4fa2”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-powersurvepi-0.1.3-r41hc72bb7e_0.tar.bz2”h0Œ@b1418922b3aee18bfcc7ce1c84216f0654be821f8d154eb587e9fb3dbcc3be50”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-pracma”Œr-rmarkdown”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØˆƒö5?hEJø1 hFˆubh)”}”(hŒsnorkel”h#Œ0.9.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"snorkel-0.9.9-pyhd8ed1ab_0.tar.bz2”h+Œ 746a3500c4abdca63e450fbf9e1ddd68”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/snorkel-0.9.9-pyhd8ed1ab_0.tar.bz2”h0Œ@0002ab4c73cf2cf047506f2267000f55c387e42dd9f89fe9594a3ce1925e063b”h2NhNh3(Œmunkres >=1.0.6”Œnetworkx >=2.2,<2.4”Œnumpy >=1.16.5,<1.20.0”Œpandas >=1.0.0,<2.0.0”Œpython >=3.6”Œpytorch >=1.2.0,<2.0.0”Œscikit-learn >=0.20.2,<0.25.0”Œscipy >=1.2.0,<2.0.0”Œtensorboard >=1.14.0,<2.0.0”Œtqdm >=4.33.0,<5.0.0”t”h9h?h@Œ
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python >=3”Œscipy”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×þôŒ“hEMm3hFˆubh)”}”(hŒ
r-ridigbio”h#Œ0.3.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-ridigbio-0.3.6-r40hc72bb7e_0.tar.bz2”h+Œ 89e1231be19312dc5f728d3f8515aa1e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ridigbio-0.3.6-r40hc72bb7e_0.tar.bz2”h0Œ@1b0a7ca340cfc10216fb7d1d4d7ff7742d5e33095d30282effbbb539f2275667”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-httr”Œ
r-jsonlite”Œr-plyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÀÛ%ó¶hEJ)0 hFˆubh)”}”(hŒ xorg-x11-proto-devel-cos6-x86_64”h#Œ7.7”h%Œhdf0574f_102”h'Kfhhh(h)hŒ9xorg-x11-proto-devel-cos6-x86_64-7.7-hdf0574f_102.tar.bz2”h+Œ 230ca1d71528163a15a1f7a50f1181a8”h.Œghttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos6-x86_64-7.7-hdf0574f_102.tar.bz2”h0Œ@5d3e87f90f29745f70e40044b8faa167f238b72982ac26c4f1f57ee76e716122”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;ƒ%/hEJ)ä hFˆubh)”}”(hŒlibidl-devel-cos6-x86_64”h#Œ0.8.13”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libidl-devel-cos6-x86_64-0.8.13-h9d98e8f_1104.tar.bz2”h+Œ 6836e0935081377b0049706d8cb87067”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos6-x86_64-0.8.13-h9d98e8f_1104.tar.bz2”h0Œ@1e98de6da7facc3e797f03b4953253b30f16bacd33da0e45d2edee454a0a5e08”h2NhNh3(Œ$glib2-devel-cos6-x86_64 >=2.0 *_1104”Œ"libidl-cos6-x86_64 ==0.8.13 *_1104”Œ"pkgconfig-cos6-x86_64 >=0.8 *_1104”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}÷ ÅhEM¦ihFˆubh)”}”(hŒlibsm-cos7-ppc64le”h#Œ1.2.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libsm-cos7-ppc64le-1.2.2-h9d98e8f_104.tar.bz2”h+Œ 27bb2651eef0967dacfcd93c881c0a70”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libsm-cos7-ppc64le-1.2.2-h9d98e8f_104.tar.bz2”h0Œ@27273b70b640823542307feed35f03c290ab742d969c2122b4aee52c672388b6”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy}ãThEM±hFˆubh)”}”(hŒr-rsq”h#Œ2.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-rsq-2.5-r41hc72bb7e_0.tar.bz2”h+Œ a0d5408efc8ee64d7df947e067b45737”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-rsq-2.5-r41hc72bb7e_0.tar.bz2”h0Œ@4a47fe3d39f74eec13fd4914569d3142b15ecc6c2cd85c9c6e20d4d6b25cbb2a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-deriv”Œr-lme4”Œr-mass”Œr-matrix”Œr-nlme”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ›¶Ù1G®hEJó» hFˆubh)”}”(hŒ	ansitable”h#Œ0.9.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$ansitable-0.9.7-pyhd8ed1ab_0.tar.bz2”h+Œ e1400108ed7d0ebbfa2dcee17bcd7b7f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/ansitable-0.9.7-pyhd8ed1ab_0.tar.bz2”h0Œ@f6c8abb5aae00f0b61846e52c5e3a969b4f181b10fad62cdf407a020674c4585”h2NhNh3Œcolored”Œnumpy”Œpython >=3.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÏì*£÷ÏhEM¸ChFˆubh)”}”(hŒflask-bcrypt”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'flask-bcrypt-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 17ee145b6881eec31051364463d327ee”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/flask-bcrypt-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7a23671fef63ade98f6b1b31647abbaa7fbafb605d34f238533959b590cca833”h2NhNh3Œbcrypt >=3.1.1”Œflask”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ³ ³!G®hEMÒ'hFˆubh)”}”(hŒr-shinytree”h#Œ0.2.7”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-shinytree-0.2.7-r36h6115d3f_1.tar.bz2”h+Œ 1ed7e498cec767e1afe4afd03a167d4d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinytree-0.2.7-r36h6115d3f_1.tar.bz2”h0Œ@1be255873be076be216a19213b08a7951b26d01ecfe932d91b2906bf38902ad7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-promises”Œr-shiny >=0.9.0”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Lªì}ÒòhEJmô hFˆubh)”}”(hŒsimpervisor”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$simpervisor-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 12b5f0d11cc26bf386bd9a2f99099648”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/simpervisor-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@b9a9bbde381320514b826893154c7b060639276b2ed103be3aba1e4b7b33aac6”h2NhNh3Œ
python >=3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ý&‚QhshEMä#hFˆubh)”}”(hŒr-shinypanel”h#Œ0.1.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-shinypanel-0.1.5-r41hc72bb7e_0.tar.bz2”h+Œ bab75e90d2279061db3e20bfafa1a359”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinypanel-0.1.5-r41hc72bb7e_0.tar.bz2”h0Œ@8fa47b04cea79990207bac701b723f8f4726983ad7753311f67e092b642d3583”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œ
r-jsonlite”Œr-shiny”Œ	r-shinybs”Œ	r-shinyjs”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ´­]hEMÀhFˆubh)”}”(hŒ	spice_hsi”h#Œ1.4”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ"spice_hsi-1.4-pyh9f0ad1d_1.tar.bz2”h+Œ bb9c954aa618ac1151fbb59b6643dd2f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/spice_hsi-1.4-pyh9f0ad1d_1.tar.bz2”h0Œ@31ad51c7fff53957597824534c9ca28aaece359b97a2bc48ac4c33972147c9ee”h2NhNh3(Œcvxopt”Œnumpy”Œpython”Œquadprog”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÌÊGäIºhEMM2hFˆubh)”}”(hŒ	r-infuser”h#Œ0.2.8”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ(r-infuser-0.2.8-r40hc72bb7e_1004.tar.bz2”h+Œ bcd7f3fab5f9d629ba7f88a971957345”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-infuser-0.2.8-r40hc72bb7e_1004.tar.bz2”h0Œ@4a5564475b6d0ea605b8933e280905c52bc106d59502d60c6f794e21e01be437”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsRÑÔ(öhEM7ŒhFˆubh)”}”(hŒr-cramer”h#Œ0.9_3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-cramer-0.9_3-r36h6115d3f_1.tar.bz2”h+Œ deed9f452964c9eb480cfd4786196319”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cramer-0.9_3-r36h6115d3f_1.tar.bz2”h0Œ@049e0181b9146fdf90e19cf83f10945509acf3607da28236173f79f39dee2b63”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-boot”†”h9hºh@Œ
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r-jsonlite”Œr-xml”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ¤ÆÂ°!hEJÇí hFˆubh)”}”(hŒr-dmwr2”h#Œ0.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-dmwr2-0.0.2-r41hc72bb7e_1.tar.bz2”h+Œ 1819d2a080e4a9d09e0560d31e58ee18”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dmwr2-0.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@bb60bd33e9fc505667cdad45b771d09969973aa841597c433fac44c713bd2ea3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-class >=7.3_14”Œr-dbi >=0.5”Œr-dplyr >=0.4.3”Œr-quantmod >=0.4_5”Œr-readr >=1.0.0”Œr-rpart >=4.1_10”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ†\)hEJ5›1 hFˆubh)”}”(hŒtensorflow-estimator”h#Œ2.5.0”h%Œpyh81a9013_1”h'Khhh(h)hŒ/tensorflow-estimator-2.5.0-pyh81a9013_1.tar.bz2”h+Œ ff37fa012509b72132f4bca38899650d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/tensorflow-estimator-2.5.0-pyh81a9013_1.tar.bz2”h0Œ@486849ccafa70f3270462132c88c67812e826d8734ef0d41a4e51ca4f3c3857c”h2NhNh3(Œabsl-py >=0.7.0”Œastor >=0.6.0”Œgast >=0.2.0”Œnumpy >=1.19”Œprotobuf >=3.6.1”Œpython >=3.6”Œsix >=1.10.0”Œtermcolor >=1.1.0”Œwrapt >=1.11.1”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ25%v—hEJ©… hFˆubh)”}”(hŒlibrdmacm-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0librdmacm-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h+Œ 173c12cb017441d3d3b1c1da312bdb3d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h0Œ@96391aed49f803a53e06b8b48caf49b3c48b05175582dd0e8ded4f77bee19dee”h2NhNh3Œ$libibverbs-cos7-aarch64 ==22.4 *_104”Œ#rdma-core-cos7-aarch64 ==22.4 *_104”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É| ¯
=hEJk hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy38h1234567_5”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py38h1234567_5.tar.bz2”h+Œ 286953a635faf08fcdf51ced6eeae506”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py38h1234567_5.tar.bz2”h0Œ@f5c035d2b0ad0213508c78ca19826c8b93f6c75b4713ed56641f6d7144a2d3f0”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.16.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ’Á¹b\hEJ hFˆubh)”}”(hŒpymc3”h#Œ3.11.2”h%Œpyh07f0a5e_1”h'Khhh(h)hŒ!pymc3-3.11.2-pyh07f0a5e_1.tar.bz2”h+Œ 79475e409176e18f2e7a2ddbf36c2864”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pymc3-3.11.2-pyh07f0a5e_1.tar.bz2”h0Œ@1b6c4d3df5ab62989bd0ecb657b09c80cba6e9b9d8e38aa96394f424b0bc278d”h2NhNh3(Œarviz >=0.11.0”Œcachetools >=4.2.1”Œdill”Œfastprogress >=0.2.0”Œgxx_linux-64 9.*”Œmkl-service”Œnumpy >=1.15.0”Œpandas >=0.24.0”Œpatsy >=0.5.1”Œpython >=3.7”Œscipy >=1.2.0”Œsemver”Œtheano-pymc 1.1.2”Œtyping-extensions >=3.7.4”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ3ÉëùûçhEJ¨Œ	 hFˆubh)”}”(hŒlibxcb-cos7-ppc64le”h#Œ1.13”h%Œha826a6f_103”h'Kghhh(h)hŒ-libxcb-cos7-ppc64le-1.13-ha826a6f_103.tar.bz2”h+Œ caabb6a248f710826e82f6a3cab67918”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-ppc64le-1.13-ha826a6f_103.tar.bz2”h0Œ@61ccf0bb24af31b1c215ae3d961723d075e6b7e418328561bfa303304d44a0d9”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/1~úhEJVê hFˆubh)”}”(hŒkernel-headers-cos6-x86_64”h#Œ2.6.32”h%Œha826a6f_103”h'Kghhh(h)hŒ6kernel-headers-cos6-x86_64-2.6.32-ha826a6f_103.tar.bz2”h+Œ c1a832f191e07bcf27c69730f9065cb3”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos6-x86_64-2.6.32-ha826a6f_103.tar.bz2”h0Œ@45c49c0cb9f72782b71f11766d5bf8781662fb83f9c6b1939fd6d33da721da27”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Æ/ÑzŸ¾hEJŒå
 hFˆubh)”}”(hŒ
permission”h#Œ0.4.1”h%Œpy_1”h'Khhh(h)hŒpermission-0.4.1-py_1.tar.bz2”h+Œ 5877d75750a5715c0abd05d82d9a39e4”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/permission-0.4.1-py_1.tar.bz2”h0Œ@6c12705b33b4267f362c591be29451f3495035c7cdb032bb27f4bcecdbe532e0”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐJKfùÛhEMÏhFˆubh)”}”(hŒ
r-solarius”h#Œ0.3.0.2”h%Œr36_1001”h'Méhhh(h)hŒ#r-solarius-0.3.0.2-r36_1001.tar.bz2”h+Œ 31abb179a9e2de0e39d1deb872c6af3a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-solarius-0.3.0.2-r36_1001.tar.bz2”h0Œ@74e8a501f47f13cac6f2584186cc2ba25e08235401d63078795a1971288c8fa5”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œ	r-ggplot2”Œr-plyr >=1.8.1”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×L¬·®hEJÇ! hFˆubh)”}”(hŒr-hive”h#Œ0.2_2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ"r-hive-0.2_2-r40h6115d3f_1.tar.bz2”h+Œ 122b1f8005968b792a97f10d7acbbdab”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hive-0.2_2-r40h6115d3f_1.tar.bz2”h0Œ@e19b3d5f92da936e5a592fdd0f4be5baec73fefa7302326736afb1afaadb74c6”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjava >=0.9_3”Œr-xml”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Á~<í‘hEJA¶ hFˆubh)”}”(hŒctdcal”h#Œ0.1.2b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#ctdcal-0.1.2b0-pyhd8ed1ab_0.tar.bz2”h+Œ 00059a1614fc8dd9499d27cb5ce26f22”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ctdcal-0.1.2b0-pyhd8ed1ab_0.tar.bz2”h0Œ@19aa72aaeb8c1ecbd7f98e7a7f4fc5f242bb1d0a99c56bd83d2990baf86eb031”h2NhNh3(Œclick 8.0.1”Œcmocean 2.0”Œ	gsw 3.4.0”Œmatplotlib-base 3.4.3”Œnumpy 1.21.2”Œpandas 1.3.3”Œpython >=3.8”Œpyyaml 5.4.1”Œscipy 1.7.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØYÎ€›hEJa5 hFˆubh)”}”(hŒr-collapsibletree”h#Œ0.1.7”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ0r-collapsibletree-0.1.7-r36h6115d3f_1001.tar.bz2”h+Œ 739fd5b41cbd7c522635ef4ef09c1c0a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-collapsibletree-0.1.7-r36h6115d3f_1001.tar.bz2”h0Œ@ef41e4dee80abc987c6114d97465f2102f0f61e20c3c78dca283abaa8af95de7”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-data.tree”Œr-htmlwidgets”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×M$XÌZhEJ›C hFˆubh)”}”(hŒ	r-howmany”h#Œ0.3_1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ(r-howmany-0.3_1-r36h6115d3f_1001.tar.bz2”h+Œ d2466c516dc56cc60ca0c14027eb8877”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-howmany-0.3_1-r36h6115d3f_1001.tar.bz2”h0Œ@300fa09c45bac3ffe06050e30b14a5699c735ab6fd9c4fcdbb2750e7b0bb158d”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×M ÎøbNhEMäÏhFˆubh)”}”(hŒr-rdrop2”h#Œ0.8.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-rdrop2-0.8.2.1-r42hc72bb7e_1.tar.bz2”h+Œ f3c5f08010f93d4bf849f1f2a5f5ade6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rdrop2-0.8.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@f3cc65640f4f7aa711fb7d1df4e93261698abded5e1b04359914cd44b054231d”h2NhNh3(Œr-assertive”Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ'l.ùÛhEJ
 hFˆubh)”}”(hŒ	r-logging”h#Œ0.10_108”h%Œr36_0”h'K hhh(h)hŒ r-logging-0.10_108-r36_0.tar.bz2”h+Œ 66aebb0c3adc6fc9958f0a7e55719968”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-logging-0.10_108-r36_0.tar.bz2”h0Œ@cc7d985ff82b3ea92603b25739d21fea2e0a8745513c41355bd8df1db6f09e1a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×JÐm÷ÏhEJbt hFˆubh)”}”(hŒlibglvnd-core-devel-cos7-x86_64”h#Œ1.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;libglvnd-core-devel-cos7-x86_64-1.0.1-h9b0a68f_1105.tar.bz2”h+Œ d0bc379b8c2fec83d136ac36676147db”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libglvnd-core-devel-cos7-x86_64-1.0.1-h9b0a68f_1105.tar.bz2”h0Œ@6ed9aeb6d5b475cb02d2b9f28fca231ce1c3141c2b086442d49dd581291da20c”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@hNä9XhEM%WhFˆubh)”}”(hŒ
r-esquisse”h#Œ1.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-esquisse-1.1.2-r42hc72bb7e_1.tar.bz2”h+Œ 64b33d31155a32b8382dd9291ffac3bf”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-esquisse-1.1.2-r42hc72bb7e_1.tar.bz2”h0Œ@8f49ccaf6768f881b1b9f1f24791f4691ec44c294b54c3d907a04c6b7204e170”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-datamods”Œr-ggplot2 >=3.0.0”Œr-htmltools”Œ
r-jsonlite”Œr-rlang >=0.3.1”Œr-rstudioapi”Œr-scales”Œr-shiny >=1.1.0”Œr-shinywidgets >=0.6.0”Œr-styler”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ”àõÃhEJg hFˆubh)”}”(hŒ	r-pmdplyr”h#Œ0.3.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-pmdplyr-0.3.3-r36h6115d3f_0.tar.bz2”h+Œ 1c65ff5698f55a118d14fa381727445a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pmdplyr-0.3.3-r36h6115d3f_0.tar.bz2”h0Œ@aa29822189d6ef91923bc147880f28c81f88ed41d604d55265177b7dab800e5a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr >=0.7.0”Œr-lubridate”Œ
r-magrittr”Œr-pillar”Œr-rlang >=0.4.0”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGA×´†oåp¤hEJqá hFˆubh)”}”(hŒselfies”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"selfies-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ a008698532d8c5650cc946a89b2f2d02”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/selfies-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f4236c36581dd10daa7798bb38f6d8fadcdd066be0f2204a63640bbcdd93f865”h2NhNh3Œpython >=3.7”Œrdkit”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ´ÂhEM·…hFˆubh)”}”(hŒlibrdmacm-cos6-x86_64”h#Œ1.0.21”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2librdmacm-cos6-x86_64-1.0.21-h9b0a68f_1105.tar.bz2”h+Œ 5874d95f2532ef8a59e14a9501fbecdc”h.Œ`https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos6-x86_64-1.0.21-h9b0a68f_1105.tar.bz2”h0Œ@6134419d6603c5a98ad0ab8d1ec0df52af6a538d1c8e31d8e500da17a80777ec”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@X£Q‡hEMÁÿhFˆubh)”}”(hŒatk-cos6-x86_64”h#Œ1.30.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ,atk-cos6-x86_64-1.30.0-hdf0574f_1102.tar.bz2”h+Œ fc676cd5bfb7447e2b91b8d3b64f3a83”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos6-x86_64-1.30.0-hdf0574f_1102.tar.bz2”h0Œ@730bceb46169350f2244c7470a33d95f0894690ba0ac4a43582d3fb0b4ea917d”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi3ƒ•hEJ8 hFˆubh)”}”(hŒjoblib”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!joblib-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 27d5ed1aaf2bbb5a0cc307a12d8e032f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/joblib-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c1c690ddc3a215228c8f50224d42f08eaf6d0fc1b288153cf22e3aa34f83df96”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¸nþÈ´hEJü9 hFˆubh)”}”(hŒr-bazar”h#Œ1.0.11”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-bazar-1.0.11-r41hc72bb7e_2.tar.bz2”h+Œ 65ab6e578cbf70616a7f130984f0e423”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bazar-1.0.11-r41hc72bb7e_2.tar.bz2”h0Œ@0586072e8840006bd2617d768ef6b0bbd03e14786b640c138fbf4a46655da6ff”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-kimisc”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓž¡ë…hEJÚ hFˆubh)”}”(hŒaws-error-utils”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*aws-error-utils-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3383801ea01a92a29ea9d38cb149c9cd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/aws-error-utils-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ca94a6d2a724c59b90abc7840afddf2ffd4fd6c41e5f21a55f039ebc72590917”h2NhNh3Œbotocore”Œpython !=3.0,!=3.1,!=3.2”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØKî¾1'hEM06hFˆubh)”}”(hŒr-pathdiagram”h#Œ0.1.9.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-pathdiagram-0.1.9.1-r36h6115d3f_1.tar.bz2”h+Œ 42e5cc1b76f539781f414cbde986f932”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-pathdiagram-0.1.9.1-r36h6115d3f_1.tar.bz2”h0Œ@af15a5753fcef05236118ff31310a874e8b5377ac73b2241e7663a79fea3b18f”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-shape”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬š-ûC–hEJ«¹ hFˆubh)”}”(hŒr-tfse”h#Œ0.5.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ"r-tfse-0.5.0-r40h6115d3f_1.tar.bz2”h+Œ c63c08ef3d1b8e3e585067241cc21eff”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tfse-0.5.0-r40h6115d3f_1.tar.bz2”h0Œ@5439cc291b6772c4466eb1b1dc498559d20ff7aa92f33deea3638685882b7d6c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-dapr”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬ ŸhEJd` hFˆubh)”}”(hŒsemantic_version”h#Œ2.8.5”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+semantic_version-2.8.5-pyh9f0ad1d_0.tar.bz2”h+Œ 0a44e7673da370ffdad6d5c81ffa6082”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/semantic_version-2.8.5-pyh9f0ad1d_0.tar.bz2”h0Œ@befa989cfd77351e3ecb70fe2e8a9be6b26c5a18e10d0aa66e065cb2c8ec22bf”h2NhNh3Œpython”…”h9h?h@ŒBSD”hBŒBSD”hDGA×®õîë…hEM¾BhFˆubh)”}”(hŒr-texreg”h#Œ1.38.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-texreg-1.38.6-r40hc72bb7e_0.tar.bz2”h+Œ 2d7c6ac7cb7382938c819d81faaf82ca”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-texreg-1.38.6-r40hc72bb7e_0.tar.bz2”h0Œ@10719f92a680bbd400f3f372c537336f27d8c05903eed0191f2740508d85bf00”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-httr”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ“í7¾whEJoï hFˆubh)”}”(hŒ	r-easycsv”h#Œ1.0.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-easycsv-1.0.8-r42hc72bb7e_1.tar.bz2”h+Œ 68d35484b5de2dc74ca7d74e1c99784b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-easycsv-1.0.8-r42hc72bb7e_1.tar.bz2”h0Œ@af628958ad258c9c8a26181f431d4795e7fbf42a51aee530a81f31af2df31a4d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.10”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ2ñÄ¬hEJæ hFˆubh)”}”(hŒr-ccp”h#Œ1.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒr-ccp-1.2-r40hc72bb7e_0.tar.bz2”h+Œ 31b43e8a72e414b17b020f305b09bea9”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ccp-1.2-r40hc72bb7e_0.tar.bz2”h0Œ@5b7e82c9072b91349f7bda1687ebcff78dd1e5f816e03abea924bda3d5433279”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ˜‚Ø•‘hhEMAóhFˆubh)”}”(hŒr-deming”h#Œ1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-deming-1.4-r42hc72bb7e_1.tar.bz2”h+Œ 3a649653e7fd6484ab784419ac097256”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-deming-1.4-r42hc72bb7e_1.tar.bz2”h0Œ@b2a4e5eeae9e9fb59785a2ade5ce42e1fd7e572b75db826ac39b58ddce7cd4db”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØÒ‹¦#Æ¨hEJñ” hFˆubh)”}”(hŒlibselinux-devel-cos6-x86_64”h#Œ2.0.94”h%Œha826a6f_103”h'Kghhh(h)hŒ8libselinux-devel-cos6-x86_64-2.0.94-ha826a6f_103.tar.bz2”h+Œ 9d8062d7ae4d9ee9cb456ebd98f4d661”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos6-x86_64-2.0.94-ha826a6f_103.tar.bz2”h0Œ@6d1cb2b650f174299717bfee06a906b2c07d05038b7495c4c048af4383bfcac8”h2NhNh3Œ%libselinux-cos6-x86_64 ==2.0.94 *_103”Œ)libsepol-devel-cos6-x86_64 >=2.0.32 *_103”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Æ1 'PhEJè hFˆubh)”}”(hŒfuzzymatcher”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'fuzzymatcher-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ e76842b53775665b4058524ccd52c09a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/fuzzymatcher-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@8fe99476b4ed810cc28981d55585a295e313664d72aea01e26e9d705ebb8bb57”h2NhNh3(Œ
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1.0.1.1597”h%Œ
hd4c1694_0”h'K hhh(h)hŒ5rb-aws-codedeploy-agent-1.0.1.1597-hd4c1694_0.tar.bz2”h+Œ eea77fa4fc20277643245d2fc23e467b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/rb-aws-codedeploy-agent-1.0.1.1597-hd4c1694_0.tar.bz2”h0Œ@49f2654ad8b3a4734f7182e85064783ec884eb71b96fd09c0f3b617ac937a717”h2NhNh3(Œ#rb-archive-tar-minitar >=0.5.2,<0.6”Œrb-aws-sdk-core >=2.9,<3”Œrb-concurrent-ruby >=1.0.5,<1.1”Œrb-docopt >=0.5.0,<0.6”Œrb-gli >=2.5,<3”Œrb-json >=1.6,<2”Œrb-logging >=1.8,<2”Œrb-rubyzip >=1.1.0,<1.2”Œrb-simple_pid >=0.2.1,<0.3”Œruby >=2.5.5,<2.6.0a0”t”h9hºh@Œ
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Apache 2.0”hBŒApache”hDGA×˜gë÷ÏhEJ[hFˆubh)”}”(hŒpyston_lite_autoload”h#Œ2.3.4”h%Œpyh44b312d_0”h'K hhh(h)hŒ/pyston_lite_autoload-2.3.4-pyh44b312d_0.tar.bz2”h+Œ 2ee918c8a2f42f90cebd24ec325127fc”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pyston_lite_autoload-2.3.4-pyh44b312d_0.tar.bz2”h0Œ@c6a068c7d0fcee6b566e163c3dfdf5757cf59ebcf621625f2489662fb9867c63”h2NhNh3Œ pyston_lite 2.3.4 py38h0a891b7_0”Œpython”†”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAØ±3Ó_ïžhEM@&hFˆubh)”}”(hŒ	r-natserv”h#Œ1.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-natserv-1.0.0-r40hc72bb7e_0.tar.bz2”h+Œ ceee22c2b210f0819690f96c6daf51ea”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-natserv-1.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@15f6d57255ba4bedc08c352b2c2a69d4ff2e2f5d51e57c080e0b1bedf1b9441a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.7.0”Œr-data.table >=1.12.0”Œr-tibble >=2.0.1”Œr-xml2 >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÜÂD(öhEJÒb hFˆubh)”}”(hŒlibdrm-cos7-ppc64le”h#Œ2.4.97”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libdrm-cos7-ppc64le-2.4.97-h9d98e8f_104.tar.bz2”h+Œ 42ffff145d592a986fc8a482a3aa0394”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-ppc64le-2.4.97-h9d98e8f_104.tar.bz2”h0Œ@f750c883a5d02be4bccc49aba1a4e7653ebbbdc40bf5f7a030d9170ba6e531cd”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy £×hEJ‡ hFˆubh)”}”(hŒr-agricolae”h#Œ1.3_5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-agricolae-1.3_5-r42hc72bb7e_1.tar.bz2”h+Œ 5f12772739fd4541c9494687bd001160”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-agricolae-1.3_5-r42hc72bb7e_1.tar.bz2”h0Œ@4354cd66f46cddf91d94f68defe9920d281537eec226c04095eeea11eb571e88”h2NhNh3(Œr-algdesign”Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œr-klar”Œr-mass”Œr-nlme”Œr-spdep”t”h9hºh@ŒGPL”hBŒGPL”hDGAØÑÅ*¸QìhEJoß hFˆubh)”}”(hŒr-rpushbullet”h#Œ0.3.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-rpushbullet-0.3.4-r40hc72bb7e_0.tar.bz2”h+Œ dec61fb099d0b00aaa2f22dd3267078a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rpushbullet-0.3.4-r40hc72bb7e_0.tar.bz2”h0Œ@39c2c17d3f52446ccd7a1c27975196eb527fe649bf48d284d314c5e2497d1b98”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-curl”Œ
r-jsonlite”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØFZwß;hEJ0# hFˆubh)”}”(hŒpythia-datasets”h#Œ	2021.9.21”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.pythia-datasets-2021.9.21-pyhd8ed1ab_0.tar.bz2”h+Œ c16709e12eb3c293347a56ac13f5382b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pythia-datasets-2021.9.21-pyhd8ed1ab_0.tar.bz2”h0Œ@d9a60986447f0104f8a7d89429ba9d5b3a1661eaaf782d56b275eac74088f5ca”h2NhNh3Œpooch”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØRæäPbhEMj1hFˆubh)”}”(hŒr-flowr”h#Œ0.9.11”h%Œr40ha770c72_0”h'K hhh(h)hŒ$r-flowr-0.9.11-r40ha770c72_0.tar.bz2”h+Œ 85ddb93b2c90de6afa1130805d1294f8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flowr-0.9.11-r40ha770c72_0.tar.bz2”h0Œ@aa71f801905d9fb799a9b34842b28e26c444840228eefa44dfc807033fc47389”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-diagram”Œr-params >=0.3”Œ	r-whisker”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¸÷chEJ&ý hFˆubh)”}”(hŒpytorch-forecasting”h#Œ0.10.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/pytorch-forecasting-0.10.2-pyhd8ed1ab_0.tar.bz2”h+Œ 97c85618cd738fd34a51dad32ddffb8c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pytorch-forecasting-0.10.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0e7be3add2dd1f40bb93986eb618e9240eca96ac242d63cd4187d96bdab7bd8e”h2NhNh3(Œcloudpickle >=1.5.0”Œmatplotlib-base >=3.3.1”Œoptuna >=2.3.0”Œpandas >=1.1.0”Œprettytable <0.8”Œpython >=3.6.1”Œpytorch >=1.4”Œpytorch-lightning >=1.0.4”Œscikit-learn >=0.23.0”Œscipy >=1.5.2”Œstatsmodels >=0.11.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¢ïhEJ=… hFˆubh)”}”(hŒ
r-ukbtools”h#Œ0.11.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-ukbtools-0.11.3-r41hc72bb7e_0.tar.bz2”h+Œ ab0a6298e61a2636dccb90ae5093231a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ukbtools-0.11.3-r41hc72bb7e_0.tar.bz2”h0Œ@26ed1bebb89e07409388bf34e4060219cb4045cb405d18c2023fe28fd7ec3f11”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.12”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÕ¨´9hEJl" hFˆubh)”}”(hŒlibnl-devel-cos7-ppc64le”h#Œ1.1.4”h%Œh1795305_101”h'Kehhh(h)hŒ3libnl-devel-cos7-ppc64le-1.1.4-h1795305_101.tar.bz2”h+Œ f83c5abd4f34b1eb7b0d751a08a60e81”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-ppc64le-1.1.4-h1795305_101.tar.bz2”h0Œ@9c4adc52f704fd353e2c6e32f101c9497f77b73b4740c304b2d6de0594fdd278”h2NhNh3Œlibnl-cos7-ppc64le 1.1.4”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÄÇw´›¦hEJ©
 hFˆubh)”}”(hŒsagemath-db-graphs”h#Œ20210214”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ.sagemath-db-graphs-20210214-hd8ed1ab_0.tar.bz2”h+Œ a99775bf9742cb513e0c10de27c6e028”h.Œ\https://conda.anaconda.org/conda-forge/noarch/sagemath-db-graphs-20210214-hd8ed1ab_0.tar.bz2”h0Œ@10567becbe9d727b85e748d937bac49b801074e4132cdfe017d6423f9bf6a9a6”h2NhNh3)h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ-¶FhEJžN hFˆubh)”}”(hŒkinparse”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#kinparse-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 85fb0501545b3369c5fed946885ab599”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/kinparse-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3f75514665ea879d754ff1658864e3f519875a52ba524c069a7bf01e28d69015”h2NhNh3Œfuture >=0.15.0”Œpyparsing >=2.1.1”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÚËõj-hEMú*hFˆubh)”}”(hŒpelican”h#Œ4.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pelican-4.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ ad07ae143b1f13aa1f8f51af42c3561a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pelican-4.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@54d3d5969af23e8a8aa457f816b3ae9b295b1cea41f8138741015e56ec96b9cb”h2NhNh3(Œblinker >=1.4”Œdocutils >=0.16”Œfeedgenerator >=1.9”Œjinja2 >=2.7”Œpygments >=2.6”Œpython >=3.6,<4.0”Œpython-dateutil >=2.8”Œpytz >=2020.1”Œrich >=10.1”Œunidecode >=1.1”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØ³-D/¾whEJ¤4	 hFˆubh)”}”(hŒlibxext-cos7-aarch64”h#Œ1.3.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libxext-cos7-aarch64-1.3.3-h9d98e8f_1104.tar.bz2”h+Œ 2c034a50592b04332827a5be1810a53a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-aarch64-1.3.3-h9d98e8f_1104.tar.bz2”h0Œ@3b3efc2d2baa7089f43b53bb7913aa5cac4b6d991ad706489633a9e9ebd5328f”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É4mhEM™—hFˆubh)”}”(hŒotumat”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!otumat-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8cf1464eaec04e37663bb511c06d1e79”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/otumat-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3dd27078b63fba2e2ce658e0c65e194947167ad278f270944bbfc894c5797e0c”h2NhNh3(Œappdirs”Œcryptography”Œflask”Œpython >=3.6”Œwatchdog”t”h9h?h@ŒMIT”hBŒMIT”hDGAØz1›á7LhEMIhFˆubh)”}”(hŒjupyterbook-latex”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jupyterbook-latex-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 34b1ceb86c41e690a7cd5abd0f30834b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyterbook-latex-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@75fb15cae7caa2ce6938830dbd253dd3ccd90b268ce0b8bc24bb8da12948c696”h2NhNh3(Œimportlib_resources”Œmyst-nb”Œpython >=3.6”Œpyyaml”Œsphinx >=3,<4”Œsqlalchemy >=1.3.12,<1.4”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ01¥M¡ËhEM4hFˆubh)”}”(hŒr-ncdf4.helpers”h#Œ0.3_6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-ncdf4.helpers-0.3_6-r40hc72bb7e_0.tar.bz2”h+Œ c42837f02c07c5b2c955ed3aa756d584”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ncdf4.helpers-0.3_6-r40hc72bb7e_0.tar.bz2”h0Œ@19abc1ca93930c1a9f464f910cbe4ab8e9d49fb4f286553089e5209f4afb5aee”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-ncdf4”Œr-pcict”t”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAØZ_Q;dhEJ½¶ hFˆubh)”}”(hŒlibuuid-devel-cos7-aarch64”h#Œ2.23.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7libuuid-devel-cos7-aarch64-2.23.2-h9b0a68f_1105.tar.bz2”h+Œ e1de3f772057ca88f70185d9722b84b6”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-aarch64-2.23.2-h9b0a68f_1105.tar.bz2”h0Œ@a943cbebf18f3a1bd093dfdc0991d6badb7fb1156597b045382a6da06ebd0484”h2NhNh3Œ$libuuid-cos7-aarch64 ==2.23.2 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”•4      hDGAØ@W¯;dhEMYhFˆubh)”}”(hŒr-quarto”h#Œ1.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-quarto-1.2-r40hc72bb7e_0.tar.bz2”h+Œ 465455c82890616e1e64278b79b8630b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-quarto-1.2-r40hc72bb7e_0.tar.bz2”h0Œ@db5d271adc2dbc4791bca88d1419e90cd42f8a0c732eafc4704edacd53f33c12”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-jsonlite”Œr-later”Œ
r-processx”Œr-rmarkdown”Œr-rsconnect >=0.8.26”Œr-rstudioapi”Œr-yaml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ±¥j17LhEJµD hFˆubh)”}”(hŒ
r-alluvial”h#Œ0.1_2”h%Œr36_1002”h'Mêhhh(h)hŒ!r-alluvial-0.1_2-r36_1002.tar.bz2”h+Œ a880ec1df327eb6995a44b1b13d2fd79”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r36_1002.tar.bz2”h0Œ@569d7a96959e35ddd42351b8b9b000ba99f123d6f1679938b7b5197fcf8fa6ff”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬$á QìhEJ‹} hFˆubh)”}”(hŒlibuuid-cos7-ppc64le”h#Œ2.23.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libuuid-cos7-ppc64le-2.23.2-h9d98e8f_1104.tar.bz2”h+Œ 41586d33bfa3d197f8eb3dc6b704165a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-ppc64le-2.23.2-h9d98e8f_1104.tar.bz2”h0Œ@c765ae0ec9af07cfa6072f9ba9d7a148fc9d2ebdf2db9dee7c5d9b9f6bfdb05b”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Éz›C–hEM2<hFˆubh)”}”(hŒlibsepol-cos7-ppc64le”h#Œ2.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libsepol-cos7-ppc64le-2.5-h9b0a68f_1105.tar.bz2”h+Œ fe85411267c5f8f4162ab7a4ad9a30f6”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-ppc64le-2.5-h9b0a68f_1105.tar.bz2”h0Œ@e8486effc131abc7f9b9c8a5a6893adb5633647d9841c411204ef8ac486c67e0”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‡•OßhEJ œ hFˆubh)”}”(hŒr-rapportools”h#Œ1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-rapportools-1.1-r41hc72bb7e_0.tar.bz2”h+Œ aea290ef1d6a16a48633be7a20ead042”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rapportools-1.1-r41hc72bb7e_0.tar.bz2”h0Œ@6751d2834a05c37c10c72ce1ac6b638fbaab601362b4f2b87f1506fec220f0f7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-pander”Œr-plyr”Œ
r-reshape2”t”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØ ©ñìZhEJ8T hFˆubh)”}”(hŒjava-1.7.0-openjdk-cos6-x86_64”h#Œ	1.7.0.181”h%Œh9d98e8f_104”h'Khhhh(h)hŒ=java-1.7.0-openjdk-cos6-x86_64-1.7.0.181-h9d98e8f_104.tar.bz2”h+Œ a92f50c807607710c55ce6d8fff964eb”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/java-1.7.0-openjdk-cos6-x86_64-1.7.0.181-h9d98e8f_104.tar.bz2”h0Œ@7ca9728d52b559749ba23cfe57f908b1f4d8b4c76e31503b62a4a1b4967c7d09”h2NhNh3(Œ(copy-jdk-configs-cos6-x86_64 >=3.3 *_104”Œ(jpackage-utils-cos6-x86_64 >=1.7.3 *_104”Œ'libjpeg-turbo-cos6-x86_64 ==1.2.1 *_104”Œnss-cos6-x86_64 >=3.28.4 *_104”Œ&nss-softokn-cos6-x86_64 >=3.14.3 *_104”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@Œ¸ASL 1.1 and ASL 2.0 and BSD and BSD with advertising and GPL+ and GPLv2 and GPLv2 with exceptions and IJG and LGPLv2+ and MIT and MPLv1.1 and MPLv2.0 and Public Domain and W3C and zlib”hBŒGPL2”hDGA×É}3Æ¨hEJbÈhFˆubh)”}”(hŒnapari-cupy-image-processing”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7napari-cupy-image-processing-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 213e54ba8bf54b9ebdf6975c8fc348da”h.Œehttps://conda.anaconda.org/conda-forge/noarch/napari-cupy-image-processing-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@98d72e1a095316c9ba43b0b10c98e3c34d8359f82ce397a7133c1950c8e48e89”h2NhNh3(Œcupy”Œnapari-assistant”Œnapari-plugin-engine >=0.1.4”Œnapari-skimage-regionprops”Œnapari-time-slicer”Œnapari-tools-menu >=0.1.17”Œnumpy”Œpython >=3.7”Œscikit-image”Œstackview >=0.3.2”Œtoolz”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÂæ5²-hEM‰5hFˆubh)”}”(hŒr-prediction”h#Œ0.3.14”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-prediction-0.3.14-r35h6115d3f_0.tar.bz2”h+Œ 17dddf62430e112491bfbde8348d70a3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prediction-0.3.14-r35h6115d3f_0.tar.bz2”h0Œ@8c3ee86c469588159bd7f491ee373645ea2051bcfe48ea391f74c0d9bc31a963”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGA×EZHbhEJåÆ hFˆubh)”}”(hŒqubekit”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"qubekit-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ a0155cdc57dcd7f55aee8c02e4bd9454”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/qubekit-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f03c079bfbd1ca0a1b12f28e44670bba47e58d0cfb5072cec34fe5f39d7f9d5b”h2NhNh3(Œ
ambertools”Œclick”Œforcebalance”Œjinja2”Œmatplotlib-base”Œnetworkx >=2.4”Œnumpy >=1.18.1”Œopenff-toolkit-base >=0.10.0”Œpython >=3.6”Œqcengine >=0.18.0”Œrdkit”Œscipy”Œtorsiondrive”Œtqdm”Œtyping-extensions”Œ
xtb-python”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ…ó dZhEJøú hFˆubh)”}”(hŒr-broomextra”h#Œ4.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-broomextra-4.3.2-r41hc72bb7e_0.tar.bz2”h+Œ c2d42e3f7cfcffd545324fde62ff09da”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-broomextra-4.3.2-r41hc72bb7e_0.tar.bz2”h0Œ@893bf91742ca0eac557f3231c799d4699f87ec5d75308ecad8bc9bcd095284be”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-broom.mixed”Œr-dplyr”Œr-ipmisc”Œr-parameters”Œr-performance”Œr-rlang”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ’'Yë…hEJv hFˆubh)”}”(hŒpkgconfig-cos7-aarch64”h#Œ0.27.1”h%Œha826a6f_103”h'Kghhh(h)hŒ2pkgconfig-cos7-aarch64-0.27.1-ha826a6f_103.tar.bz2”h+Œ 50d1ce2494a8f9530d8cfe7f7dab2dc5”h.Œ`https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-aarch64-0.27.1-ha826a6f_103.tar.bz2”h0Œ@2e3befc21601ccf143d6dfde3fea34f95c60ac16eaffd82c7fd96893c5b98083”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ/aÈ´hEM0ÐhFˆubh)”}”(hŒr-elasticnet”h#Œ1.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-elasticnet-1.3-r36h6115d3f_0.tar.bz2”h+Œ 8c04b549cc3d06274171569e0c734f6f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elasticnet-1.3-r36h6115d3f_0.tar.bz2”h0Œ@7d6115ce6531a1dc12ceb89683fed752e0bb74e7cbeeff91f36e8680ec7666e8”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-lars”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¯µey‡hEJÓ hFˆubh)”}”(hŒr-gpfit”h#Œ1.0_8”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-gpfit-1.0_8-r41hc72bb7e_2.tar.bz2”h+Œ c1442db4487bb32792d37ac5a494ba9d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gpfit-1.0_8-r41hc72bb7e_2.tar.bz2”h0Œ@bb6576d1a2f942f90349ea4cd1bc73856595790d1b848ad7eb2f40b6700253d2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lattice >=0.18_8”Œr-lhs >=0.5”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÐ—û[t¼hEJ<c hFˆubh)”}”(hŒr-whitening”h#Œ1.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-whitening-1.4.0-r41hc72bb7e_0.tar.bz2”h+Œ 6db9730662e7b9bebbbd7d05fe6c4a63”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-whitening-1.4.0-r41hc72bb7e_0.tar.bz2”h0Œ@ba51415f9eb8b2221bde5358da7bd2e29fc78eb2ff15c85c19c00cc72d69eb40”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-corpcor >=1.6.9”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ§àÖ2~úhEJ^m hFˆubh)”}”(hŒr-hrbrthemes”h#Œ0.8.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-hrbrthemes-0.8.0-r40hc72bb7e_1.tar.bz2”h+Œ d8fb38c3ae0b5b6c1b70350e44d4aea3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hrbrthemes-0.8.0-r40hc72bb7e_1.tar.bz2”h0Œ@128b84e40d191ec6f0c53cbade677cd91c401c89c142dd1eee2cdd9233a23594”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-extrafont”Œ	r-gdtools”Œr-ggplot2 >=3.3.0”Œr-htmltools”Œr-knitr”Œ
r-magrittr”Œr-rmarkdown”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,®ût¼hEJí hFˆubh)”}”(hŒlibxdamage-cos7-aarch64”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ3libxdamage-cos7-aarch64-1.1.4-h1795305_1101.tar.bz2”h+Œ 372796dcc7901c6c59f51c931f853485”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-aarch64-1.1.4-h1795305_1101.tar.bz2”h0Œ@972092c13874712805112aa9247945bd74733be45c96a8109c4349214a090d1c”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&"‚ñªhEM AhFˆubh)”}”(hŒ
gerrychain”h#Œ0.2.17”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&gerrychain-0.2.17-pyhd8ed1ab_0.tar.bz2”h+Œ 6baafad39ec3e028fb75f764b9f15991”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/gerrychain-0.2.17-pyhd8ed1ab_0.tar.bz2”h0Œ@f062d5c2df53c4d6f1a02c60258b73eee6fc6cb678d4f4e805e4255020f190c6”h2NhNh3(Œ	geopandas”Œnetworkx”Œpandas”Œpython >=3.6”Œshapely”t”h9h?h@ŒBSD 3-clause”hBŒBSD”hDGAØ.òkSøhEM¨¯hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpyhd8ed1ab_11”h'Khhh(h)hŒ-fenics-dijitso-2019.1.0-pyhd8ed1ab_11.tar.bz2”h+Œ eef26d7c3dff2d09873b6b707c18eb5c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-pyhd8ed1ab_11.tar.bz2”h0Œ@269d7b926fb1718ad050d5e7f9219d128b30d68d1f101a676b63d648fdfe7050”h2NhNh3Œnumpy”Œpython >=3.5”Œ
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r-partykit”Œr-rlang”Œ
r-survival”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×M^ËN$ÝhEJPF	 hFˆubh)”}”(hŒ
r-xlsxjars”h#Œ0.6.1”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ&r-xlsxjars-0.6.1-r41hc72bb7e_3.tar.bz2”h+Œ bdcac96ef02594aa2d54caf12fffd0d6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xlsxjars-0.6.1-r41hc72bb7e_3.tar.bz2”h0Œ@011832890f643ea42994c301e2f69d2153157e80cce9b5daf24f5d9f2bba7f37”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*ìë¹ë…hEJ3Ï hFˆubh)”}”(hŒ	r-nnlasso”h#Œ0.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-nnlasso-0.3-r36h6115d3f_1002.tar.bz2”h+Œ 62c7f25bbbe464ad540d5c0c59838faa”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-nnlasso-0.3-r36h6115d3f_1002.tar.bz2”h0Œ@1e46c9cc8a33d8591d025f51905b7e856780de62363e89bc7b5d92337bac0308”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬žÝ€1'hEJ¨
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pyexcel-io”h#Œ0.6.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyexcel-io-0.6.6-pyhd8ed1ab_0.tar.bz2”h+Œ 4c7f556fbd0453ae6e13e44ede157b01”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyexcel-io-0.6.6-pyhd8ed1ab_0.tar.bz2”h0Œ@dfea390b8939d41292baec2f40f45fe343185322f8abc96f4a496a2c527ccf81”h2NhNh3Œlml >=0.0.4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ}tsXå`hEMl‚hFˆubh)”}”(hŒtensorboardx”h#Œ2.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'tensorboardx-2.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ bccdc6c1b355847103bc09951e844f1e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/tensorboardx-2.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1822995ea0c23c90f3d9c8251ba773452e9602fc30b3cab2f18da73303325f9f”h2NhNh3(Œnumpy”Œprotobuf >=3.8.0,<=3.20.1”Œpython >=3.6”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ§ñ¶ˆbNhEJP hFˆubh)”}”(hŒcups-devel-cos7-ppc64le”h#Œ1.6.3”h%Œha826a6f_103”h'Kghhh(h)hŒ2cups-devel-cos7-ppc64le-1.6.3-ha826a6f_103.tar.bz2”h+Œ 8b70f146994c9fd56e381c77c9ab0066”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos7-ppc64le-1.6.3-ha826a6f_103.tar.bz2”h0Œ@0df98ebf043a087d86eee17022bf183a7470d1ff95aae4b66a400cd448d6a5fb”h2NhNh3Œ$cups-libs-cos7-ppc64le ==1.6.3 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{QU¡ËhEMwîhFˆubh)”}”(hŒr-mailr”h#Œ0.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-mailr-0.8-r42hc72bb7e_1.tar.bz2”h+Œ 3825e827c128c4ea527a4b44a1f47336”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mailr-0.8-r42hc72bb7e_1.tar.bz2”h0Œ@59d19e8101f43eeec4e0bbee30b7ded44c6943f27e25eaf97ef8a14fa7c6d4b6”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œ	r-r.utils”Œr-rjava”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒS¡XbNhEJâÆ hFˆubh)”}”(hŒr-parsetools”h#Œ0.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-parsetools-0.1.3-r41hc72bb7e_1.tar.bz2”h+Œ eac53d94742aed2b62b6128e05901cf2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-parsetools-0.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@6a4d2e839011acb35128e8740a35daa97d2e669b19e9586cb190840256aee8ee”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*õkBŸ¾hEJc\ hFˆubh)”}”(hŒ	bletchley”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒbletchley-0.3.0-py_0.tar.bz2”h+Œ 752f352f5967512c36bd55a6a11a75f2”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/bletchley-0.3.0-py_0.tar.bz2”h0Œ@f4f6046381db20df340dfdc391713fdff41d19944c02202081fce12db8a2551b”h2NhNh3Œnumpy >=1.16.0”Œpython”†”h9h?h@ŒGNU-3.0”hBŒGPL”hDGA×=ˆ‰SohEMmhFˆubh)”}”(hŒ
r-divemove”h#Œ1.4.5”h%Œr351h6115d3f_0”h'K hhh(h)hŒ'r-divemove-1.4.5-r351h6115d3f_0.tar.bz2”h+Œ 341be77251aa6786faa829f8b248d082”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-divemove-1.4.5-r351h6115d3f_0.tar.bz2”h0Œ@9832d0564468715814d6e41603ec370171a5893c1ce7760db2972a0ac02dfc93”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-catools”Œr-geosphere”Œr-kernsmooth”Œ
r-quantreg”Œr-unireg”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×îõTZhEJ?´ hFˆubh)”}”(hŒgitlab-runner-api”h#Œ1.0.4”h%Œpy_0”h'K hhh(h)hŒ$gitlab-runner-api-1.0.4-py_0.tar.bz2”h+Œ 89c26f42e37a20d4daf53dd3ec837bd9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/gitlab-runner-api-1.0.4-py_0.tar.bz2”h0Œ@e3c41175404c6d97ec92feaea04df576739b8f819f383788d117d6c22a260a9f”h2NhNh3(Œcolorlog”Œ$python !=3.0,!=3.1,!=3.2,!=3.3,!=3.4”Œrequests”Œ
setuptools”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×äv ÎÙhEMMUhFˆubh)”}”(hŒlibthai-cos7-aarch64”h#Œ0.1.14”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1libthai-cos7-aarch64-0.1.14-h9b0a68f_1105.tar.bz2”h+Œ b06b9c090ef2f6d0c7cff1ffdf4d3cdc”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-aarch64-0.1.14-h9b0a68f_1105.tar.bz2”h0Œ@9b5294fe8ecc6a8f4a6b5761f8597bc0a2bbaf74693307a5c517d7062d3b7cda”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‡ŒIºhEJmr hFˆubh)”}”(hŒspglm”h#Œ1.0.8”h%Œpy_0”h'K hhh(h)hŒspglm-1.0.8-py_0.tar.bz2”h+Œ 8c0b18d290ac36b6f1a451ce192a48bc”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/spglm-1.0.8-py_0.tar.bz2”h0Œ@58c695fe901c6eaf48102ebfc437894d05a5693187fe49d7c23d2fdaf782fdd2”h2NhNh3(Œlibpysal >=4.0.0”Œnumpy >=1.3”Œpython >=3.6”Œscipy >=0.11”Œspreg >=1.0.4”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÖF* 1'hEM²˜hFˆubh)”}”(hŒmesa-dri-drivers-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_101”h'Kehhh(h)hŒ9mesa-dri-drivers-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h+Œ 533090200fda90feca4c3bd79f30ee91”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h0Œ@5e063d2c451bc67b88133a6052446bcab5de074c38263455f276dd1932ac8750”h2NhNh3Œlibdrm-cos7-aarch64 >=2.4.83”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åc’ÀƒhEJ3¹˜hFˆubh)”}”(hŒenglish”h#Œ2020.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%english-2020.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ aeb320056bc8fad3fa564175154430b2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/english-2020.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1bb5e103f79226d4edfe868fea6a24925a50bc94377eee0ca30908ffc6e7e2e1”h2NhNh3Œpython >=3.6”Œsix”†”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÑ£	¬záhEJkn hFˆubh)”}”(hŒ
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r-microseq”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒR¡—+hEJúk hFˆubh)”}”(hŒ	r-solrium”h#Œ1.2.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ%r-solrium-1.2.0-r42h785f33e_1.tar.bz2”h+Œ c4602dea906ac2aac9968e0c30bff3bc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-solrium-1.2.0-r42h785f33e_1.tar.bz2”h0Œ@c3337eb0cfb867fa5e6d69152f1d427168ca91877829b8fd55425082ad713bf8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.4.0”Œr-dplyr >=0.5.0”Œr-jsonlite >=1.0”Œr-plyr >=1.8.4”Œr-r6”Œr-tibble >=1.4.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÕ.W\)hEJ…t hFˆubh)”}”(hŒyaqd_control”h#Œ2020.7.1”h%Œpy_0”h'K hhh(h)hŒ"yaqd_control-2020.7.1-py_0.tar.bz2”h+Œ 566a48c6058758d3740a01a041a51ad1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/yaqd_control-2020.7.1-py_0.tar.bz2”h0Œ@c71c54f23210aa1ac791c0793bda59a6431f441ea363bafedd8fcf4503a8f229”h2NhNh3(Œappdirs”Œclick”Œcolorama”Œprettytable”Œpython >=3.7”Œtoml”Œyaqc”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGA×Àï€LjhEJ®l hFˆubh)”}”(hŒzipstream-new”h#Œ1.1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(zipstream-new-1.1.8-pyhd8ed1ab_0.tar.bz2”h+Œ c9684165242c51d36acb49e0df4d9390”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/zipstream-new-1.1.8-pyhd8ed1ab_0.tar.bz2”h0Œ@36d9bd07540468bb9885a059b4256e3ef4c6dfc49c1fe553e1828b15ae71c878”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØaKo’n˜hEMSchFˆubh)”}”(hŒaiida-nwchem”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'aiida-nwchem-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ e4fd1e68a28e8c20722e6ed67e7d1e15”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/aiida-nwchem-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3b639864954f181b4ecb49c2cd49da2711f89c0aa2eaf91198c3cffb7466c40f”h2NhNh3Œaiida-core >=1.2.1”Œnumpy”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ³}p¤hEMž=hFˆubh)”}”(hŒyachalk”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"yachalk-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 4cb2b83f75b288659285f890edf3e8b6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/yachalk-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d734957516568f4b1430b12664859b02e045d2a8c47fca5c03f80a14bcef852b”h2NhNh3Œimportlib-resources”Œpython >=3.7”Œ
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r-magrittr”Œr-r6”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ
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r-relaimpo”h#Œ2.2_6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-relaimpo-2.2_6-r41hc72bb7e_1.tar.bz2”h+Œ 493933b985467208475585fc85861a04”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-relaimpo-2.2_6-r41hc72bb7e_1.tar.bz2”h0Œ@b32c9354fceff246ff28814a364c1bfebdca21fdcb693cc266d235bc65c327a3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œ	r-corpcor”Œr-mass”Œ	r-mitools”Œr-survey”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ‡LæÈ´hEJ$• hFˆubh)”}”(hŒr-bundle”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-bundle-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 4cf8a46bc5d34d62c5f1bea56fdf9d94”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bundle-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@8db0ac695d79b08a5dade9a75db29bdbeafb6e7e908b72c536b3a6b04206692e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-purrr”Œr-rlang”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÎ'ÔþhEJk hFˆubh)”}”(hŒr-xaringanthemer”h#Œ0.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-xaringanthemer-0.4.2-r42hc72bb7e_1.tar.bz2”h+Œ b83d1d5d8a941d2bb913b4f7b109387b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-xaringanthemer-0.4.2-r42hc72bb7e_1.tar.bz2”h0Œ@46a256a9d46efa2e51d1458eede95cf0cae0adebddf3f4c3fe1eece418ca5e79”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œr-glue”Œr-purrr”Œ	r-whisker”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑÅ¹©xÕhEJdm hFˆubh)”}”(hŒr-hash”h#Œ3.0.1”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ"r-hash-3.0.1-r41hc72bb7e_3.tar.bz2”h+Œ 6d65b2b51bd8ad354b79b9a49b512206”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hash-3.0.1-r41hc72bb7e_3.tar.bz2”h0Œ@e1f0715431ee8df56dd5675d31da914a1404ae6c4ef100c09c09d7998d6bed46”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ©¾ãThEJ¦w hFˆubh)”}”(hŒr-directlabels”h#Œ	2021.1.13”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ.r-directlabels-2021.1.13-r40hc72bb7e_0.tar.bz2”h+Œ f59b77c088e4541f68026da8a48b00aa”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-directlabels-2021.1.13-r40hc72bb7e_0.tar.bz2”h0Œ@43f7d17d4a54220f313fdf31142fef25cc22c5f63e63c6c611413506b165889c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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r-reshape2”Œr-rvest”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œ
r-tidytext”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ°I¿\)hEJS' hFˆubh)”}”(hŒrb-jekyll-github-metadata”h#Œ2.13.0”h%Œ
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hackernote”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%hackernote-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 1b156c7eb0d75f6f495f25646dae84e8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/hackernote-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@cb89d8cab020805e03f8da8ca8280151c7b36885fed5f6155dd3fc3414a41fad”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ®§fE¢hEM˜-hFˆubh)”}”(hŒgtk2-cos7-aarch64”h#Œ2.24.31”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/gtk2-cos7-aarch64-2.24.31-h9b0a68f_1105.tar.bz2”h+Œ 66d506b9be42ce7dee81457f776b648e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gtk2-cos7-aarch64-2.24.31-h9b0a68f_1105.tar.bz2”h0Œ@a0a4e0eb35f0bb721f8dccb87618ae81d6a8fde8ef338db478d9983dc798c125”h2NhNh3(Œ atk-cos7-aarch64 >=1.29.4 *_1105”Œ"glib2-cos7-aarch64 >=2.28.0 *_1105”Œ#libtiff-cos7-aarch64 >=3.6.1 *_1105”Œ(libxrandr-cos7-aarch64 >=1.2.99.4 *_1105”Œ"pango-cos7-aarch64 >=1.20.0 *_1105”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@”=$¼jhEJš; hFˆubh)”}”(hŒdask-distance”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ dask-distance-0.2.0-py_0.tar.bz2”h+Œ eb343c623ac39bf99a8054f6ae5f0188”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dask-distance-0.2.0-py_0.tar.bz2”h0Œ@b0e9b67f0482e475cc3dcfe0b145d04b381e9f969e0be7ed64a2c3b0892dc3b4”h2NhNh3Œdask”Œnumpy”Œpython”‡”h9h?h@ŒBSD 3-Clause”hEM¿(hFˆubh)”}”(hŒr-discriminer”h#Œ0.1_29”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ-r-discriminer-0.1_29-r40hc72bb7e_1003.tar.bz2”h+Œ cbc1c21785709f942efa3a0699916469”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-discriminer-0.1_29-r40hc72bb7e_1003.tar.bz2”h0Œ@d4429648540150e66db86ed94373c8f7dda18cd2d8ac5bda97b7423f3edf7a33”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+,"Ã•hEJ‰¨ hFˆubh)”}”(hŒ	dtool_cli”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$dtool_cli-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ ed2e8d6030e30842a00866586f1dbc3a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dtool_cli-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@45a0b1eaa37bcb549af9581fdd7c98caaef4650e0d5076ad4bf2f24487445af5”h2NhNh3(Œclick”Œclick-plugins”Œ	dtoolcore”Œpython >=3.6”Œ
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Apache-2.0”hBŒApache”hDGAØ•8áÁûçhEMÑ~hFˆubh)”}”(hŒlibuuid-devel-cos7-aarch64”h#Œ2.23.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libuuid-devel-cos7-aarch64-2.23.2-h9d98e8f_104.tar.bz2”h+Œ b90cfcf9657c91b3e7f5f006429757e4”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-aarch64-2.23.2-h9d98e8f_104.tar.bz2”h0Œ@6df19d9ccbbc755a358a1464493e79a04169712696a40813d90461b1c4fcfc05”h2NhNh3Œ#libuuid-cos7-aarch64 ==2.23.2 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉzSÀƒhEMXhFˆubh)”}”(hŒr-futile.options”h#Œ1.0.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ/r-futile.options-1.0.1-r42hc72bb7e_1003.tar.bz2”h+Œ ad1f1317857340532c957e767394b4d4”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-futile.options-1.0.1-r42hc72bb7e_1003.tar.bz2”h0Œ@96e6560c0fb2b7c96347811a29c58e64a2b8eda78ee9b510be94d7f7dfb7c8fa”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÐª£“hEM^phFˆubh)”}”(hŒnapari”h#Œ0.4.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!napari-0.4.8-pyhd8ed1ab_0.tar.bz2”h+Œ 1c45eb9588abab840f3cf7638e6e2794”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/napari-0.4.8-pyhd8ed1ab_0.tar.bz2”h0Œ@40f00cf390770fe4950cc3f6f30a93d7e0688cc3e2d681d9700b3a2b50fed2b8”h2NhNh3(Œappdirs >=1.4.4”Œcachey >=0.2.1”Œcertifi >=2020.6.20”Œdask >=2.1.0”Œfsspec”Œimageio >=2.5.0”Œimportlib-metadata >=1.5.0”Œjsonschema >=3.2.0”Œmagicgui >=0.2.6”Œnapari-console >=0.0.3”Œnapari-plugin-engine >=0.1.9”Œnapari-svg >=0.1.4”Œnumpy >=1.16.5”Œnumpydoc >=0.9.2”Œpillow !=7.1.0,!=7.1.1”Œpint >=0.17”Œpsutil >=5.0”Œpydantic >=1.8.1”Œpyopengl >=3.1.0”Œpyqt”Œpython >=3.7,<3.11.0a0”Œpyyaml >=5.1”Œqtpy >=1.7.0”Œscikit-image”Œscipy >=1.2.0”Œtifffile >=2020.2.16”Œtoolz >=0.10.0”Œtqdm >=4.56.0”Œtyping_extensions”Œvispy >=0.6.4,<0.10”Œwrapt >=1.11.1”Œzarr”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ)
Ê¬hEJêB hFˆubh)”}”(hŒ	r-shinybs”h#Œ0.61.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-shinybs-0.61.1-r40hc72bb7e_0.tar.bz2”h+Œ 9f6cc85db4d8a96127c298c81cdc65f1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-shinybs-0.61.1-r40hc72bb7e_0.tar.bz2”h0Œ@ca709a2d4e6445aed908e96b9e1207e8dbd737c75808b1801e74afbb73478a1c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-shiny >=0.11”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ—ëyNÈ´hEJ‰æ hFˆubh)”}”(hŒr-sparsemvn”h#Œ0.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-sparsemvn-0.2.2-r42hc72bb7e_1.tar.bz2”h+Œ 2c633722604deab86de5dfe1bd5f2cd3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-sparsemvn-0.2.2-r42hc72bb7e_1.tar.bz2”h0Œ@9fb697215e3be5c4f0772fd50ae0c4e254c6085990590c6b874c0d8e9fb00fac”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix >=1.3”†”h9hºh@ŒMPL-2.0”hBŒOTHER”hDGAØÒ¾ÓohEJá˜ hFˆubh)”}”(hŒflask-seasurf”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(flask-seasurf-1.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ e465514ac4bf971f8899e40c943f3246”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flask-seasurf-1.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a159f61e190b9f9d4d45051acfd99baa59bb43cad4bf80dbbd9b40ff0cc7a7c8”h2NhNh3Œflask”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ“ î¸RhEMÎ.hFˆubh)”}”(hŒwheelhouse_uploader”h#Œ0.10.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/wheelhouse_uploader-0.10.3-pyhd8ed1ab_0.tar.bz2”h+Œ 858ed440437d4d3f80c7e22e5dcd5f72”h.Œ]https://conda.anaconda.org/conda-forge/noarch/wheelhouse_uploader-0.10.3-pyhd8ed1ab_0.tar.bz2”h0Œ@8900891a49b290fee1c6d19796248341cb9a14accf4d293016ee8063c55e84cb”h2NhNh3(Œapache-libcloud >=2.2,<3”Œcertifi”Œ	packaging”Œpython >=3.6”Œsetuptools >=0.9”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ?qñ‰7hEM5ChFˆubh)”}”(hŒr-taxize”h#Œ0.9.100”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-taxize-0.9.100-r41hc72bb7e_1.tar.bz2”h+Œ e6cf0019665dfec439730379e894cbc1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-taxize-0.9.100-r41hc72bb7e_1.tar.bz2”h0Œ@b91d0cc47227c46eeb83736ac618e2f5831db2971870e4ef599e0678f30d0dc3”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-bold >=0.8.6”Œr-cli”Œr-conditionz”Œr-crayon”Œr-crul >=0.7.0”Œr-data.table”Œ	r-foreach”Œ
r-jsonlite”Œr-natserv >=1.0.0”Œ
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r-gwidgets”Œr-rgtk2”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×±ÏëW
=hEJª hFˆubh)”}”(hŒlibtiff-cos7-ppc64le”h#Œ4.0.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libtiff-cos7-ppc64le-4.0.3-h9d98e8f_104.tar.bz2”h+Œ 43fa9684152a6f3cd01bc42ed8e54ce9”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-ppc64le-4.0.3-h9d98e8f_104.tar.bz2”h0Œ@baffa9ba2332dd601b59441622d5ee018661c4c6f9a84b88d535a9e6714db27e”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@Œlibtiff”hBŒOther”hDGA×ÉyÃRŸ¾hEJá hFˆubh)”}”(hŒuproot3-methods”h#Œ0.10.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+uproot3-methods-0.10.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9958bddb6d04b6e97a109a56455766cd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/uproot3-methods-0.10.1-pyhd8ed1ab_0.tar.bz2”h0Œ@39538c56f1353149e7c7ec3c60bd844008f74f54d8a701857404926707e95afa”h2NhNh3Œawkward0”Œnumpy >=1.13.1”Œpython ==2.7.*|>=3.5”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØéœW|îhEM–ehFˆubh)”}”(hŒr-shinylogs”h#Œ0.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-shinylogs-0.2.1-r40hc72bb7e_0.tar.bz2”h+Œ 72a48e3f0182ffe49eecfcc611fbba74”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinylogs-0.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@0bb8e031e116f5664e03345df9e1745b64ea3f3840bbd19c9bccacb2f3f048e2”h2NhNh3(Œ	r-anytime”Œr-base >=4.0,<4.1.0a0”Œr-bit64”Œr-data.table”Œr-dbi”Œr-digest”Œr-htmltools”Œ
r-jsonlite”Œ
r-nanotime”Œ	r-rsqlite”Œr-shiny >=1.1.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ—yLêŸ¾hEJ„1 hFˆubh)”}”(hŒr-lisreltor”h#Œ0.1.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-lisreltor-0.1.5-r41hc72bb7e_0.tar.bz2”h+Œ 9def08fae96492b3df5d299c38ea804b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-lisreltor-0.1.5-r41hc72bb7e_0.tar.bz2”h0Œ@41cef9c04dd94910dbe8736079f2f709f7063ac9462d23c87d5a00ecca22c31f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØžMØ˜ÔþhEMähFˆubh)”}”(hŒ
r-invgamma”h#Œ1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-invgamma-1.1-r41hc72bb7e_1.tar.bz2”h+Œ 8a8afdac1b091df364b1bbbd76000f67”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-invgamma-1.1-r41hc72bb7e_1.tar.bz2”h0Œ@eacdf339347fc3271ab93db9dbe799668a0d4d62df27e17234668edab375dc40”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+‹ë¥ãhEM„hFˆubh)”}”(hŒr-radix”h#Œ0.6”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ!r-radix-0.6-r41hc72bb7e_3.tar.bz2”h+Œ 8d232293cd4f821e058b18cf27555cdc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-radix-0.6-r41hc72bb7e_3.tar.bz2”h0Œ@063d894930a24e6e762e0c945b3ac729ee3e723c99ce45251e7ff8a42c2fac96”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downloader”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œr-png”Œ
r-progress”Œr-rmarkdown >=1.10”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÒ/«w+hEJd hFˆubh)”}”(hŒ"backports.shutil_get_terminal_size”h#Œ1.0.0”h%Œpy_3”h'Khhh(h)hŒ5backports.shutil_get_terminal_size-1.0.0-py_3.tar.bz2”h+Œ ed3c4ce59b457c5fd7ca79b94c57eff4”h.Œchttps://conda.anaconda.org/conda-forge/noarch/backports.shutil_get_terminal_size-1.0.0-py_3.tar.bz2”h0Œ@02f90972bce1d721ad19f90f699aa95bf84964df720e85485c6035838427933f”h2NhNh3Œ	backports”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hEM[hFˆubh)”}”(hŒr-smatr”h#Œ3.4_8”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ#r-smatr-3.4_8-r40hc72bb7e_2.tar.bz2”h+Œ 11c0cba4266e4f8252d3b2fefb07de3b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-smatr-3.4_8-r40hc72bb7e_2.tar.bz2”h0Œ@3f5c06e50474d8ed1bc790d25e1b164ee57376a069c59665a7e46a2b32074ce0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ûjŽÙhEJá… hFˆubh)”}”(hŒlanguage_tool_python”h#Œ2.5.1”h%Œpyh44b312d_0”h'K hhh(h)hŒ/language_tool_python-2.5.1-pyh44b312d_0.tar.bz2”h+Œ f2b515944a7053dc94045df09dc1edd2”h.Œ]https://conda.anaconda.org/conda-forge/noarch/language_tool_python-2.5.1-pyh44b312d_0.tar.bz2”h0Œ@d08435a13e31c248fb77d2e18367424e3805e3bb6a4a5a7e0e0b132221670677”h2NhNh3Œpython”Œrequests”Œtqdm”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×ÿ|ó(£×hEMà…hFˆubh)”}”(hŒpixman-devel-cos7-x86_64”h#Œ0.34.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ5pixman-devel-cos7-x86_64-0.34.0-ha826a6f_1103.tar.bz2”h+Œ 274e7782cad914f36a89e67229e5a61c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pixman-devel-cos7-x86_64-0.34.0-ha826a6f_1103.tar.bz2”h0Œ@2be9ef20b7008ab27d953414792a18e1e4414369bde4eb82225cef703c5ab2d4”h2NhNh3Œ"pixman-cos7-x86_64 ==0.34.0 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0‹‘hhEMÏ6hFˆubh)”}”(hŒqimage2ndarray”h#Œ1.8.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)qimage2ndarray-1.8.3-pyhd8ed1ab_0.tar.bz2”h+Œ 026b25b5cc47f71833fdc6cc6e0bb580”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/qimage2ndarray-1.8.3-pyhd8ed1ab_0.tar.bz2”h0Œ@d32deb5ed01f8e122fcbba4c19d18cca41ed77d12465d06f82866a0505694d78”h2NhNh3Œnumpy”Œ
python >=2”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÿ$#l‹hEM9hFˆubh)”}”(hŒpango-cos7-aarch64”h#Œ1.42.4”h%Œha826a6f_103”h'Kghhh(h)hŒ.pango-cos7-aarch64-1.42.4-ha826a6f_103.tar.bz2”h+Œ 91d81d93df56ce646ae01ca455e1f113”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pango-cos7-aarch64-1.42.4-ha826a6f_103.tar.bz2”h0Œ@c11131aeaefc6b8e622adef6b887f65d35c8fdefa7a38775d788d37a028d6c09”h2NhNh3(Œ"cairo-cos7-aarch64 >=1.12.10 *_103”Œ'fontconfig-cos7-aarch64 >=2.11.91 *_103”Œ#freetype-cos7-aarch64 >=2.1.5 *_103”Œ fribidi-cos7-aarch64 >=1.0 *_103”Œ!glib2-cos7-aarch64 >=2.56.1 *_103”Œ#harfbuzz-cos7-aarch64 >=1.4.2 *_103”Œ"libthai-cos7-aarch64 >=0.1.9 *_103”Œ!libxft-cos7-aarch64 >=2.0.0 *_103”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2DÇKÇhEJ­O hFˆubh)”}”(hŒxcb-util-image-cos7-aarch64”h#Œ0.4.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7xcb-util-image-cos7-aarch64-0.4.0-h9d98e8f_1104.tar.bz2”h+Œ 5a6bf159f97cfa35274ccb2ebe4c6ca8”h.Œehttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-cos7-aarch64-0.4.0-h9d98e8f_1104.tar.bz2”h0Œ@e430b534de3753f6971a358a21c8bc58c68c1171278f84016a3cb0ba84e6b473”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ó~p¤hEM,<hFˆubh)”}”(hŒgeomag”h#Œ0.9.2015”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$geomag-0.9.2015-pyhd8ed1ab_0.tar.bz2”h+Œ cec489c446f25e05fbbabff2b0c48840”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/geomag-0.9.2015-pyhd8ed1ab_0.tar.bz2”h0Œ@59d404ca18083194ebc19a6d08c272f4af6751c84703b614002b82549bd209af”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØcä²-hEMF6hFˆubh)”}”(hŒpkgconfig-cos7-aarch64”h#Œ0.27.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3pkgconfig-cos7-aarch64-0.27.1-hdf0574f_1102.tar.bz2”h+Œ 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r-classint”Œr-dplyr”Œ	r-ggplot2”Œr-mass”Œr-readr”Œ	r-stringr”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÑÅ¥~{hEJšc hFˆubh)”}”(hŒbio-embeddings-esm”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-bio-embeddings-esm-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 109b765bc45b0f447a7497211f6fb820”h.Œ[https://conda.anaconda.org/conda-forge/noarch/bio-embeddings-esm-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@974c7880072a75184ba13b1ba37912fd0979956c0bb3b1253f4862750ecfbb9e”h2NhNh3Œpython >=3.6”Œpytorch >=1.5”Œtorchvision”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØôÎúŸ¾hEMV^hFˆubh)”}”(hŒr-shinytoastr”h#Œ2.1.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-shinytoastr-2.1.1-r36hc72bb7e_0.tar.bz2”h+Œ e150171c54b172cd00aa52e79128f40a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinytoastr-2.1.1-r36hc72bb7e_0.tar.bz2”h0Œ@faebb1ff547cd0d23deb3e61964b78f82420b3d611f1ff4964d7325c796c5f2c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGA×êmÂýVhEJRb hFˆubh)”}”(hŒr-bbmle”h#Œ1.0.25”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-bbmle-1.0.25-r41hc72bb7e_1.tar.bz2”h+Œ a1035646e9de8e10a67114d98f37d2f5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bbmle-1.0.25-r41hc72bb7e_1.tar.bz2”h0Œ@ccaf1f92442418480c721fe57a94fe453798fee4f164ce1dd7f10ab2a20dedfc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bdsmatrix”Œ	r-lattice”Œr-mass”Œr-matrix”Œ	r-mvtnorm”Œ
r-numderiv”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑSe£ohEJÑ; hFˆubh)”}”(hŒlibxft-cos7-aarch64”h#Œ2.3.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libxft-cos7-aarch64-2.3.2-h9b0a68f_105.tar.bz2”h+Œ a71343bdbff17979faa2d39b96547f5b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-aarch64-2.3.2-h9b0a68f_105.tar.bz2”h0Œ@4117f8e01cc654ac9f4d3156555152bdbff6447af98a55be35776a68dc273c55”h2NhNh3Œ#fontconfig-cos7-aarch64 >=2.2 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\ZË¶FhEMUèhFˆubh)”}”(hŒmesa-libegl-cos7-aarch64”h#Œ18.3.4”h%Œ
h1341992_0”h'K hhh(h)hŒ2mesa-libegl-cos7-aarch64-18.3.4-h1341992_0.tar.bz2”h+Œ 7c5f594a2864fffc331a78fb9af0f59d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-aarch64-18.3.4-h1341992_0.tar.bz2”h0Œ@0c04e89baf51bdfbfbb105748355599e8697321ae23a66c1a423f2a2a445a4e8”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×“¦
^5hEJ9± hFˆubh)”}”(hŒrb-gli”h#Œ2.19.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ rb-gli-2.19.0-hd4c1694_0.tar.bz2”h+Œ c4979c658b1aa2c27885e579a013c9c5”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-gli-2.19.0-hd4c1694_0.tar.bz2”h0Œ@71720b08b6929c9a2f6176909b3124a8575b5b1e289919e166e1bca1a9b63957”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×\Æœ9XhEJ~^ hFˆubh)”}”(hŒr-clustergeneration”h#Œ1.3.7”h%Œr41ha770c72_0”h'K hhh(h)hŒ/r-clustergeneration-1.3.7-r41ha770c72_0.tar.bz2”h+Œ 4dea6a0a88a4e58384a62ac1a6b48280”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-clustergeneration-1.3.7-r41ha770c72_0.tar.bz2”h0Œ@295b96998228b5adcff84cc3faff0fd7e67bebcdaf76cb6ff9c9eeb51489629a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*âh³¥ãhEJÂc hFˆubh)”}”(hŒyoutube-transcript-api”h#Œ0.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1youtube-transcript-api-0.4.4-pyhd8ed1ab_0.tar.bz2”h+Œ bcdc4b9bcfaad826a605f1d92423df1f”h.Œ_https://conda.anaconda.org/conda-forge/noarch/youtube-transcript-api-0.4.4-pyhd8ed1ab_0.tar.bz2”h0Œ@7526e9d85c87fa32cd0c262aa2555fd2bf4103c84b451ba86c111dcc23e8914c”h2NhNh3Œpython >=3.5”Œrequests >=2.24.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ‘_äZ\hEMýUhFˆubh)”}”(hŒlibnl-cos7-aarch64”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libnl-cos7-aarch64-1.1.4-h9d98e8f_104.tar.bz2”h+Œ f4e48184cdedeeec299041622d1ce4e0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-aarch64-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@ae8d1dddf1c89d027b08a66f3ca6d57d5419efb5c266de414030bc2f272d244f”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÉyŠ¼záhEJ: hFˆubh)”}”(hŒr-phylogram”h#Œ2.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-phylogram-2.1.0-r36h6115d3f_0.tar.bz2”h+Œ b7865cb65bd4f599388667229ff3db98”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-phylogram-2.1.0-r36h6115d3f_0.tar.bz2”h0Œ@916d0624bc569b1270d7a8aa119bf9e29fc6d555004ca0f40c9e2a02288c9596”h2NhNh3Œr-ape >=4.0”Œr-base >=3.6,<3.7.0a0”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×®v5§ðhEJš0 hFˆubh)”}”(hŒ	r-metstat”h#Œ1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ#r-metstat-1.0-r40hc72bb7e_1.tar.bz2”h+Œ 4ebddaf141436ed98254c8a869634445”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metstat-1.0-r40hc72bb7e_1.tar.bz2”h0Œ@af27633906071b77bfb53757d47e6c770cc268aa0ee28d22923a6dceb46f4640”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-mass”Œr-pls”t”h9hºh@ŒApache (== 2.0)”hBŒAPACHE”hDGAØ+"ŠÜ¬hEJ¯4 hFˆubh)”}”(hŒr-radix”h#Œ0.6”h%Œr36h6115d3f_1”h'Khhh(h)hŒ!r-radix-0.6-r36h6115d3f_1.tar.bz2”h+Œ 66cbb311eec7b2352c9ce684662e35bd”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-radix-0.6-r36h6115d3f_1.tar.bz2”h0Œ@4a868070ab67a05d09fb98b9c58d2fd9af67b5340abe1116bf86704d00f51e5c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downloader”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œr-png”Œ
r-progress”Œr-rmarkdown >=1.10”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGA×L¼ íó¶hEJÆò hFˆubh)”}”(hŒrb-bio”h#Œ2.0.1”h%Œ
hd4c1694_0”h'K hhh(h)hŒrb-bio-2.0.1-hd4c1694_0.tar.bz2”h+Œ 5897bb4cf9ead1e9d7d9e027275df8a6”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/rb-bio-2.0.1-hd4c1694_0.tar.bz2”h0Œ@110dda8a72a61221d09c888db449c8600edf35cfbff653ea239006894c02cd86”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGA×\„ÊŒjhEJ3®' hFˆubh)”}”(hŒnspr-cos7-aarch64”h#Œ4.21.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-nspr-cos7-aarch64-4.21.0-h9d98e8f_104.tar.bz2”h+Œ 0e1ae9cd58354d8829e7260a64957d5b”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-aarch64-4.21.0-h9d98e8f_104.tar.bz2”h0Œ@ac3c00f8d0c689867d4cbc1eedead72baf49eb52704080c7eff699f1bcaa8806”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Éy[IºhEJ hFˆubh)”}”(hŒ
classyconf”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%classyconf-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 721e7c449aadd00a0c8da9348579c95a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/classyconf-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@3237d55f96b79ed576cc7938d927e3e23eb7359eaad3d4bdce81e198e04bb6f7”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ]œ{x ÅhEM,6hFˆubh)”}”(hŒhigher”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!higher-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 63453db7867a58c57b67ad1a321ca811”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/higher-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@dad11f20f86e3cea1aa0413eab35cdd05d82187af805d12427e41db6617cb344”h2NhNh3Œpython >=3.6”Œpytorch”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¯ÓlËohEM«khFˆubh)”}”(hŒwbgapi”h#Œ1.0.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"wbgapi-1.0.12-pyhd8ed1ab_0.tar.bz2”h+Œ a2e1ba950c0ec23e3ea0b915743a37e0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/wbgapi-1.0.12-pyhd8ed1ab_0.tar.bz2”h0Œ@a11792999f4c92b182b7c3c444d2981da3b8e7b6b561d8ad2d342d4e39dfa13b”h2NhNh3(Œpython >=3.0”Œpyyaml”Œrequests”Œtabulate”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ±Mù–¸RhEMK{hFˆubh)”}”(hŒlibxml2-cos7-aarch64”h#Œ2.9.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libxml2-cos7-aarch64-2.9.1-h9d98e8f_1104.tar.bz2”h+Œ 0d2ea30fb68e4e1d808922b9cb75c7dc”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-aarch64-2.9.1-h9d98e8f_1104.tar.bz2”h0Œ@745d00ceb3a17a479ade389a02026af0dac12df61bb011aac1a00e293c009afc”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz²1&éhEJÂ²
 hFˆubh)”}”(hŒr-autostats”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-autostats-0.4.0-r41hc72bb7e_0.tar.bz2”h+Œ 7672611675a7fb39ede4af0f69a44a6e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-autostats-0.4.0-r41hc72bb7e_0.tar.bz2”h0Œ@0029eaeab8c90b588f308c11b20b28b46a4f68d54485f6785350a1eb016c8862”h2NhNh3(Œ
r-agtboost”Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-data.table”Œr-dials”Œr-doparallel”Œr-dplyr”Œr-flextable”Œr-foci”Œ	r-forcats”Œr-framecleaner”Œr-ggeasy”Œ	r-ggplot2”Œ
r-ggthemes”Œr-gtools”Œ	r-janitor”Œr-jtools”Œr-lubridate”Œ
r-magrittr”Œr-nnet”Œ	r-parsnip”Œr-party”Œr-patchwork”Œr-presenter”Œr-purrr”Œr-readr”Œ	r-recipes”Œr-recosystem”Œr-rlang”Œr-rlist”Œ	r-rsample”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-tune”Œr-workflows”Œ	r-xgboost”Œr-xicor”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÚ@NR-hEJæ£ hFˆubh)”}”(hŒr-aws.ec2metadata”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ-r-aws.ec2metadata-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 5e348c32e38dc753e383158dbdec8822”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-aws.ec2metadata-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@3e2d2e2adefde9ac5676ab32f51340772306f50a7c8f5e550d452af84bcb3e64”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-curl”Œ
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²n˜hEM¦ShFˆubh)”}”(hŒpyscicat”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pyscicat-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ d634027386b157bec2f3de07e8367036”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pyscicat-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f3bffc3971f5077bf2a91338ee00fc4aed6d2c760810cb77598cce3694bc5ef5”h2NhNh3Œpydantic”Œpython >=3.7”Œrequests”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡\þ^È´hEMhChFˆubh)”}”(hŒ python-javapackages-cos7-aarch64”h#Œ3.4.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<python-javapackages-cos7-aarch64-3.4.1-h9b0a68f_1105.tar.bz2”h+Œ 2569b5eb882bd55d6b15f3d03b82c91f”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-aarch64-3.4.1-h9b0a68f_1105.tar.bz2”h0Œ@26554e3f69430a20f31db9d032aff68d1fe4e5816207ba93c81acb893edee6e7”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@ŠóîùÛhEMO3hFˆubh)”}”(hŒaiohttp-sse-client”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-aiohttp-sse-client-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3c2e0701d91cc9603ae84442c6d53ae1”h.Œ[https://conda.anaconda.org/conda-forge/noarch/aiohttp-sse-client-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@14d17321a639d89be5c7b5973a6d171df4854ee3eb6b1b3cd29906a253aaca08”h2NhNh3(Œaiohttp >=3”Œattrs”Œ	multidict”Œpython >=3.6”Œyarl”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ‘êB~úhEM'hFˆubh)”}”(hŒr-ebayesthresh”h#Œ1.4_12”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ.r-ebayesthresh-1.4_12-r41hc72bb7e_1003.tar.bz2”h+Œ df462f9906acef77800ad654f12d4fbe”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-ebayesthresh-1.4_12-r41hc72bb7e_1003.tar.bz2”h0Œ@b7a77b73c17735eab9dffe1c7750bab81defc6dd65f402469de48be494d7ca97”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-wavethresh”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+«ZK•hEJsá hFˆubh)”}”(hŒcopy-jdk-configs-cos7-ppc64le”h#Œ3.3”h%Œha826a6f_103”h'Kghhh(h)hŒ6copy-jdk-configs-cos7-ppc64le-3.3-ha826a6f_103.tar.bz2”h+Œ 36cdf03ad17fa4b186ddc50e56c55f55”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-ppc64le-3.3-ha826a6f_103.tar.bz2”h0Œ@355fdf9cbdfbbcd5e6d4df9ae28914de030b89a097f4dc78fc94651b3f3355cc”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/gNvÉhEM±%hFˆubh)”}”(hŒr-lgr”h#Œ0.4.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-lgr-0.4.4-r40hc72bb7e_0.tar.bz2”h+Œ 1411c0ae0d5a36878b7615cc61514a54”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lgr-0.4.4-r40hc72bb7e_0.tar.bz2”h0Œ@2ffbff970b935e8da93faffc4a67e1e7f8498ab92d2675dc425e6d19aaa62eca”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-r6 >=2.4.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÅªÿFÙhEJ½_ hFˆubh)”}”(hŒr-climate4r.value”h#Œ1.0.0”h%Œr36ha770c72_0”h'K hhh(h)hŒ-r-climate4r.value-1.0.0-r36ha770c72_0.tar.bz2”h+Œ d499de11706b79b6596f47a0f1a92b2f”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.value-1.0.0-r36ha770c72_0.tar.bz2”h0Œ@dd80a757580e5c20e344bd88f9e6e2c004085b0a3ded766c7584b5098dd92c00”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-transformer >=1.4.7”Œr-value >=1.4.23”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢Ì­çmhEM¦ühFˆubh)”}”(hŒcups-devel-cos7-aarch64”h#Œ1.6.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2cups-devel-cos7-aarch64-1.6.3-h9d98e8f_104.tar.bz2”h+Œ 8a8bc55f6f89ce9bc4ef965a9f7aed70”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos7-aarch64-1.6.3-h9d98e8f_104.tar.bz2”h0Œ@645cc3d1e0296dd66b73c3e17a6c8b627309fb686349a2b1804cb815de467626”h2NhNh3Œ$cups-libs-cos7-aarch64 ==1.6.3 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É{V·|îhEM÷îhFˆubh)”}”(hŒlibxshmfence-cos7-aarch64”h#Œ1.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libxshmfence-cos7-aarch64-1.2-h9b0a68f_1105.tar.bz2”h+Œ 632e2e3238f0a5258399f1698fccef54”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-aarch64-1.2-h9b0a68f_1105.tar.bz2”h0Œ@45678e79187a8e1208d1e653716c247f21e2e0cdb6e879191ee26286b86996a1”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ˆ¶¡7LhEMÐ#hFˆubh)”}”(hŒmpl_sample_data”h#Œ3.4.3”h%Œpyh6c4a22f_1”h'Khhh(h)hŒ*mpl_sample_data-3.4.3-pyh6c4a22f_1.tar.bz2”h+Œ f5d6f4af09863ef1f8409db6e737ca5c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mpl_sample_data-3.4.3-pyh6c4a22f_1.tar.bz2”h0Œ@323c3199539d2b2da9cdf677d88d91cdf65fd97d0b636adedecb57f96e137e3d”h2NhNh3Œ matplotlib-base >=3.4.3,<3.5.0a0”Œpython”†”h9h?h@ŒLicenseRef-PSF-based”hBŒPSF”hDGAØS-T½OßhEJ[ hFˆubh)”}”(hŒr-qtlcharts”h#Œ0.16”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-qtlcharts-0.16-r42hc72bb7e_1.tar.bz2”h+Œ a9fcecd672cd8da9d142f0dad91e806b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-qtlcharts-0.16-r42hc72bb7e_1.tar.bz2”h0Œ@9a30f9f7f6481a4b1e8f0133ecc75dbfdbe28ec747ad8c9f7c5f0db12399c321”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmlwidgets”Œr-qtl >=1.30_4”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ/ó6¸RhEJ§­ hFˆubh)”}”(hŒmesa-dri-drivers-cos6-x86_64”h#Œ11.0.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ9mesa-dri-drivers-cos6-x86_64-11.0.7-ha826a6f_1103.tar.bz2”h+Œ ac35247de8723dbbe71e8d38851c690c”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos6-x86_64-11.0.7-ha826a6f_1103.tar.bz2”h0Œ@15e38aa3e87617b47672b1e9b2364559b93e8098b8112069b832f445c7b3e85f”h2NhNh3Œ+mesa-dri1-drivers-cos6-x86_64 >=7.11 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2b¤í‘hEJkÙJhFˆubh)”}”(hŒelasticsearch-dsl”h#Œ6.1.0”h%Œpy_0”h'K hhh(h)hŒ$elasticsearch-dsl-6.1.0-py_0.tar.bz2”h+Œ 380055f61a672eb83423948647c386a9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/elasticsearch-dsl-6.1.0-py_0.tar.bz2”h0Œ@bdbc85323d761797b1717b7ae3b9784efd9aad507579f70d16b4f0e6abf84011”h2NhNh3(Œelasticsearch >=6.0.0,<7.0.0”Œpython”Œpython-dateutil”Œsix”t”h9h?h@Œ
Apache 2.0”hBŒApache”hEMA‹hFˆubh)”}”(hŒr-dtt”h#Œ0.1_2”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ$r-dtt-0.1_2-r41hc72bb7e_1003.tar.bz2”h+Œ f659e24b51c00c15258488cf38b9f20d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dtt-0.1_2-r41hc72bb7e_1003.tar.bz2”h0Œ@a1cf76d43315c402f3fad58670090780b41c8c6741463275e04c3fd8b1594791”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*âacçmhEML‘hFˆubh)”}”(hŒdjango-nose”h#Œ1.4.6”h%Œpy_0”h'K hhh(h)hŒdjango-nose-1.4.6-py_0.tar.bz2”h+Œ d32988bddb36b5caa37f7c2474dd2c08”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/django-nose-1.4.6-py_0.tar.bz2”h0Œ@e20768a8536b097ebb4537d9a4d9f22c676311e7ff3642485ab7682c2ab85804”h2NhNh3Œdjango >=1.8”Œnose >=1.2.1”Œpython”‡”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖî'µ¸hEM~^hFˆubh)”}”(hŒlibpysal”h#Œ4.1.1”h%Œpy_0”h'K hhh(h)hŒlibpysal-4.1.1-py_0.tar.bz2”h+Œ 98c1760b74fbb5c9a81b88be9de00597”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/libpysal-4.1.1-py_0.tar.bz2”h0Œ@215262756ddc1f1cbd26be4d9eff891f6aad05eb708ae7f44a86f6572f23b0d6”h2NhNh3(Œnumpy >=1.3”Œpandas”Œ
python >=3”Œscipy >=0.11”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×[O­Ï;dhEJJNhFˆubh)”}”(hŒ	r-conting”h#Œ1.7”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-conting-1.7-r41hc72bb7e_1.tar.bz2”h+Œ da4f7b8f657d230f6c432e0034a996a6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-conting-1.7-r41hc72bb7e_1.tar.bz2”h0Œ@d6c4e9201e0fa955b59c1f941398fb3d96c300bfb9f2bd2c723928f9f128e49b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bms”Œr-coda”Œr-gtools”Œ	r-mvtnorm”Œ	r-tseries”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ¸ÙX ÅhEJx‚ hFˆubh)”}”(hŒr-assertive.models”h#Œ0.0_2”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ.r-assertive.models-0.0_2-r41hc72bb7e_3.tar.bz2”h+Œ cbc810411b0e0477a192645a5e852ad2”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-assertive.models-0.0_2-r41hc72bb7e_3.tar.bz2”h0Œ@46688c08f54885fce7546181f221aa9b0645cb6d232248e74425d842cf9b4389”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=4.1,<4.2.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÑ9âÁÛ#hEMŠˆhFˆubh)”}”(hŒxarray”h#Œ2022.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$xarray-2022.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ e841ab2f40fb319e6740130227904cbf”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/xarray-2022.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fb406330bc9b5f80b28d812e5892a3d559e22874df7291e919f4ee6d3c33b907”h2NhNh3(Œnumpy >=1.19”Œpackaging >=20.0”Œpandas >=1.2,<2a0”Œpython >=3.8”t”h9h?h@Œ
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r-contrast”h#Œ0.24.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-contrast-0.24.2-r42hc72bb7e_1.tar.bz2”h+Œ f1b082566899710d41da6f42f2baa5a7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-contrast-0.24.2-r42hc72bb7e_1.tar.bz2”h0Œ@babcc360995e6babcde47d868a07ef2327a6a0a8ea7e0b5d48698a682706b7ab”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-nlme”Œr-rms”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓ`8ž$ÝhEJ~ hFˆubh)”}”(hŒldcpy”h#Œ0.3”h%Œpy_0”h'K hhh(h)hŒldcpy-0.3-py_0.tar.bz2”h+Œ fd523d01f52418bb509912c24240b0d8”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/ldcpy-0.3-py_0.tar.bz2”h0Œ@e4f9913b9c164fdbfcb40d6961a7ef5f04bcd82ecd6f5f593d37c90961e8644f”h2NhNh3(Œcartopy 0.18.*”Œcmocean”Œcython”Œdask”Œ
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jupyterlab”Œ
matplotlib”Œnetcdf4”Œnumpy”Œpip”Œpython >=3.6”Œscipy”Œxarray”Œxrft”Œzfpy”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ÇoÁÈ1'hEMëChFˆubh)”}”(hŒr-fivethirtyeight”h#Œ0.6.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ-r-fivethirtyeight-0.6.2-r41hc72bb7e_1.tar.bz2”h+Œ 46826071199e31901852c4a816ddce73”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-fivethirtyeight-0.6.2-r41hc72bb7e_1.tar.bz2”h0Œ@fb3a31eedb8dabc8acaacb864f6f487c39c01727ba308f375d63999a085933da”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ~ÊœjhEJÅgG hFˆubh)”}”(hŒr-discretization”h#Œ1.0_1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ.r-discretization-1.0_1.1-r41hc72bb7e_0.tar.bz2”h+Œ acee3b0ca2367f1c726ee560bf363116”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-discretization-1.0_1.1-r41hc72bb7e_0.tar.bz2”h0Œ@52c9301c826304e739af8e138b518ce9ea43d436602f793e1be6f009788cb4fd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ©Mi‡hEJ´Î hFˆubh)”}”(hŒlibbonobo-cos6-x86_64”h#Œ2.24.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ1libbonobo-cos6-x86_64-2.24.2-hdf0574f_102.tar.bz2”h+Œ 160505cb62644737c979292976ad2745”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos6-x86_64-2.24.2-hdf0574f_102.tar.bz2”h0Œ@e53d67d1cd8d33ad261d523396c8f629d4aec96f8a6509152fa062843e1321d2”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Åi®hEJ$ hFˆubh)”}”(hŒstarlite-sessions”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,starlite-sessions-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 305c5400e49b31696af7356079565aac”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/starlite-sessions-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@febd987e21e37c73cf8c0d5113005ccbc5b6fd53770bbd0b31cacb6a99ff6093”h2NhNh3Œcryptography”Œpython >=3.6,<4.0”Œstarlite >=1.17.1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÓ`FG®hEMí.hFˆubh)”}”(hŒ
r-multiway”h#Œ1.0_6”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ&r-multiway-1.0_6-r40hc72bb7e_2.tar.bz2”h+Œ 803066bde51c02ab790cd601757853ab”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiway-1.0_6-r40hc72bb7e_2.tar.bz2”h0Œ@53bcba9ffd032a6a39a7214ca34c2a77acef3b3c76cdfb186aae5bdd9b243a20”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-cmls”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+o¸RhEJDE
 hFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-registry-0.5_1-r35h6115d3f_0.tar.bz2”h+Œ 59aed0fa8c1e643afa9ec1e0f0caa65a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r35h6115d3f_0.tar.bz2”h0Œ@35da89f62dc2b4a18ca3929f97a604e2d33bad20352aa85d9bcb0197e521ef14”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×B®ŒM/hEJ\/ hFˆubh)”}”(hŒr-gdalutils”h#Œ2.0.3.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-gdalutils-2.0.3.2-r40hc72bb7e_1.tar.bz2”h+Œ 31f046991b6e4e7161592ef28355503d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gdalutils-2.0.3.2-r40hc72bb7e_1.tar.bz2”h0Œ@1c98e3b725801c2ae2d6cc91dc3cf483d6eb1515c6db039bd6061162f774da10”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-foreach”Œ	r-r.utils”Œr-raster”Œr-rgdal”Œr-sp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+'*Ÿ¾hEJ’ hFˆubh)”}”(hŒlibxtst-cos7-ppc64le”h#Œ1.2.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libxtst-cos7-ppc64le-1.2.3-h9d98e8f_1104.tar.bz2”h+Œ d58fc7e32bc733bdc7748c08e58c04e8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxtst-cos7-ppc64le-1.2.3-h9d98e8f_1104.tar.bz2”h0Œ@6c296254a8677f5a62c698a008b8abffc005c04440bc9727627b379750e4be13”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É½¾whEMôKhFˆubh)”}”(hŒ
pytest-cov”h#Œ2.5.1”h%Œpy_1”h'Khhh(h)hŒpytest-cov-2.5.1-py_1.tar.bz2”h+Œ ead2f9e370a840bbe18e800002d0f5ed”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pytest-cov-2.5.1-py_1.tar.bz2”h0Œ@5260648796f566828b36a7ffe8f7304a9aab2e1ab3b0f6b5923e5babf98017ca”h2NhNh3(Œcoverage”Œpytest”Œpython”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐ=:k•hEM>hFˆubh)”}”(hŒorbit2-cos6-x86_64”h#Œ2.14.17”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0orbit2-cos6-x86_64-2.14.17-hdf0574f_1102.tar.bz2”h+Œ d0ba629ffdc383aa7a1c62913abcff18”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos6-x86_64-2.14.17-hdf0574f_1102.tar.bz2”h0Œ@8a36368e03ddb05f9a729d49940890436467521d9025e2a1da8866114eb78ccc”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Åiå`hEJâè hFˆubh)”}”(hŒr-r2dii.data”h#Œ0.3.1”h%Œr40h00b500a_0”h'K hhh(h)hŒ(r-r2dii.data-0.3.1-r40h00b500a_0.tar.bz2”h+Œ a772980d41cfe42dd274987976a5effd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r2dii.data-0.3.1-r40h00b500a_0.tar.bz2”h0Œ@5ebbc9c18fba1c6e2ae3cfac6d641c1859eb6a6981fba234b1c3d619f41a8a9d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lifecycle”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÏ˜Pì9XhEJ·ß hFˆubh)”}”(hŒr-vpc”h#Œ1.2.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-vpc-1.2.2-r40hc72bb7e_0.tar.bz2”h+Œ 6e7fdff78394255f5a8e5b3ee01fbe72”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vpc-1.2.2-r40hc72bb7e_0.tar.bz2”h0Œ@8c6237980d092f959affa1b22be3c8de5acaa7c0b1e0737e9e05bb94a2ed1221”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-classint”Œr-dplyr”Œ	r-ggplot2”Œr-mass”Œr-readr”Œ	r-stringr”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÿ4òEÒòhEJˆ hFˆubh)”}”(hŒsysroot-cos7-x86_64”h#Œ2.17”h%Œ
h1a5fb1d_5”h'Khhh(h)hŒ+sysroot-cos7-x86_64-2.17-h1a5fb1d_5.tar.bz2”h+Œ 7139fc836a19d22c43f51799da26742f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h1a5fb1d_5.tar.bz2”h0Œ@a56e7c1fd16887447d2bdd13ed6de6bf5b7fbf494643c70c2cf431d18ad8cee8”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶¶bn˜hEM¾hFˆubh)”}”(hŒ	r-nor1mix”h#Œ1.3_0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-nor1mix-1.3_0-r41hc72bb7e_2.tar.bz2”h+Œ d14f192073fa038a0c65ac1da5f112fc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-nor1mix-1.3_0-r41hc72bb7e_2.tar.bz2”h0Œ@3a1b8afd6d76c1899cdf4aec67aaf58bfb12ad2324fdae351097091568d30a83”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ªÎÙhEJOA hFˆubh)”}”(hŒrb-public_suffix”h#Œ4.0.6”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ)rb-public_suffix-4.0.6-hd8ed1ab_0.tar.bz2”h+Œ e30e29d7f262c41d31231cf4ced283f9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/rb-public_suffix-4.0.6-hd8ed1ab_0.tar.bz2”h0Œ@ace8f437a2bb3fdc1f8aa80c40c185b85e93476b34bec9753632af6a440caed5”h2NhNh3Œ
ruby 2.6.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ˜º^hEJ” hFˆubh)”}”(hŒcma-es”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!cma-es-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7f5cf64c2d3632a3d17026c70cb29de1”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cma-es-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@bade34a78e64a1c4e227a7ed3d51e2b45e0f024b5493876d793a6bbc5c00f724”h2NhNh3Œpython >=3.6”Œ
tensorflow”†”h9h?h@ŒMIT”hBŒMIT”hDGAØj&<\9XhEM„3hFˆubh)”}”(hŒr-kmsurv”h#Œ0.1_5”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ'r-kmsurv-0.1_5-r40hc72bb7e_1003.tar.bz2”h+Œ 2ef41deb1828e169a999d9e3f0504797”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-kmsurv-0.1_5-r40hc72bb7e_1003.tar.bz2”h0Œ@1bc0867ec18d85cfebc4474fbebd6bdbb09deddbf10dccb87dc41038fe0b6389”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*âÄ¥ÂhEJ3; hFˆubh)”}”(hŒr-whoami”h#Œ1.3.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-whoami-1.3.0-r36h6115d3f_1.tar.bz2”h+Œ 62abaa5d1b92d889ede48010698111db”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-whoami-1.3.0-r36h6115d3f_1.tar.bz2”h0Œ@b056e2048565bb841c09cc261d109216d37657347f0908d32959bdb924049478”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×LW¢X“uhEM°‰hFˆubh)”}”(hŒnss-softokn-cos7-aarch64”h#Œ3.44.0”h%Œh1795305_1101”h'MMhhh(h)hŒ5nss-softokn-cos7-aarch64-3.44.0-h1795305_1101.tar.bz2”h+Œ 19afb1ec9484b88f733f553419f4a717”h.Œchttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-aarch64-3.44.0-h1795305_1101.tar.bz2”h0Œ@2bc8e6446716cb963cdeaed1471501876beca189b259e3a53259efff3218c8cf”h2NhNh3Œnspr-cos7-aarch64 >=4.21.0”Œnss-util-cos7-aarch64 >=3.44.0”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇ½1ûçhEJd hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-aarch64”h#Œ1.20.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ?xorg-x11-server-common-cos7-aarch64-1.20.4-h9d98e8f_104.tar.bz2”h+Œ e5c68230b45cd97c4817ce08539817e8”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-aarch64-1.20.4-h9d98e8f_104.tar.bz2”h0Œ@a1e9004b0e7fcc4b4cf5532c442ae2942c498f930e0bcd56c62ed61f70226613”h2NhNh3Œ"pixman-cos7-aarch64 >=0.30.0 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzƒU?}hEMß„hFˆubh)”}”(hŒ	rb-listen”h#Œ3.1.5”h%Œ
hc42de5b_0”h'K hhh(h)hŒ"rb-listen-3.1.5-hc42de5b_0.tar.bz2”h+Œ 297cda8ef5be1c8acd9bd9fcdbc64cab”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-listen-3.1.5-hc42de5b_0.tar.bz2”h0Œ@fad43f0e619a908602267514b18d3ebdacb9366bb70d5e2d8ecd44011e995426”h2NhNh3(Œrb-rb-fsevent >=0.9.4,<1”Œrb-rb-inotify >=0.9.7,<1”Œrb-ruby_dep >=1.2,<2”Œruby >=2.6.3,<2.7.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Y÷–;¥ãhEJ7 hFˆubh)”}”(hŒr-bookdownplus”h#Œ1.5.8”h%Œr40h6115d3f_1”h'Khhh(h)hŒ*r-bookdownplus-1.5.8-r40h6115d3f_1.tar.bz2”h+Œ 0e015c344cf792ab17b1169f2911b861”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bookdownplus-1.5.8-r40h6115d3f_1.tar.bz2”h0Œ@ba4f6c34f302727ae7199c830b07638b45e99c39314fdf30b05cf8001e5d81f5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bookdown >=0.3.17”Œr-knitr”Œr-magick”Œ
r-xaringan”t”h9hºh@ŒMIT”hBŒMIT”hDGA×»¨“AûçhEJ­¢ hFˆubh)”}”(hŒsphinx-jinja”h#Œ2.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'sphinx-jinja-2.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 336f37dd0c65c30963636d9f4cdffaff”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/sphinx-jinja-2.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@97139fa963303f24db14287180eae387cd0d4e4572c5bd126ac98f57b19f2775”h2NhNh3(Œdocutils >=0.16”Œjinja2 >=2.11”Œpython >=3.6”Œsphinx >4.2.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ±Â-Ê^5hEMå$hFˆubh)”}”(hŒ
mplleaflet”h#Œ0.0.5”h%Œpy_2”h'Khhh(h)hŒmplleaflet-0.0.5-py_2.tar.bz2”h+Œ 2b95ba53115988391db5b9f24f168a27”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/mplleaflet-0.0.5-py_2.tar.bz2”h0Œ@b8df07b9e5c308c12343af1423cfe714040579f213faa3a4824e6c0de47049a0”h2NhNh3(Œjinja2”Œ
matplotlib”Œpython”Œsix”t”h9h?h@ŒBSD 3-Clause”hDGAÖÐÜ4	xÕhEMXZhFˆubh)”}”(hŒ
r-freqprof”h#Œ0.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-freqprof-0.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 6c9f9425f54ffbfb0bcbf1f0e626360a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-freqprof-0.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@986bbe1a1d89c5596c9d9c0f24b31e2c0183098fa87ae2e70ef6bdc3b6f424f2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-reshape2”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ-ÉÞDÝ/hEJ#* hFˆubh)”}”(hŒparsedatetime”h#Œ2.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&parsedatetime-2.6-pyh9f0ad1d_0.tar.bz2”h+Œ 32eaf2e190820f495ae92d25acf63544”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/parsedatetime-2.6-pyh9f0ad1d_0.tar.bz2”h0Œ@c96a49a2a88baf128874be3b4b09861b92a30ba38d54a640540161b9732301a5”h2NhNh3Œpython”…”h9h?h@Œ
Apache 2.0”hBŒApache”hDGA×¸Eêi‰7hEM}˜hFˆubh)”}”(hŒxcb-util-image-cos7-aarch64”h#Œ0.4.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6xcb-util-image-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h+Œ 0618b39baf8dace91db39c5213daf9e7”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h0Œ@050ed9ea91d27f2b9aeb17026e9a6ad5e2bf7229d595d9ffda6652102a609971”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓQZn˜hEM<hFˆubh)”}”(hŒtorch-hd”h#Œ2.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#torch-hd-2.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ e7339d17c68d33ac9e52cfc2ff5d936e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/torch-hd-2.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@69d51f68330b7e898cf16b48cbfac7fdb73ec17ab2a9cd944026bf75a7dae9f3”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.6”Œpytorch”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¤,/•hEMkohFˆubh)”}”(hŒr-uiucthemes”h#Œ0.3.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-uiucthemes-0.3.1-r41hc72bb7e_1.tar.bz2”h+Œ 395060903f7e45806c6ac4ccad80a1e4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-uiucthemes-0.3.1-r41hc72bb7e_1.tar.bz2”h0Œ@8511488649bc64432078c0d432e0edf6e8b1beef1089f1ffb8e83360db42dcc4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rmarkdown >=2.2”Œr-xaringan >=0.16.0”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑÌ¶|¼jhEJ©  hFˆubh)”}”(hŒr-strucchange”h#Œ1.5_1”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ,r-strucchange-1.5_1-r35h6115d3f_1002.tar.bz2”h+Œ da3d10cd3dfbcd80c7e5464881bcaa47”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-strucchange-1.5_1-r35h6115d3f_1002.tar.bz2”h0Œ@eb2cc062f1d6a464720f789f6dedd3e3aa2b99cecd6a250c8351499a0f254bd7”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-sandwich”Œr-zoo”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×KðC…ãThEJÙ hFˆubh)”}”(hŒnapari”h#Œ0.4.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"napari-0.4.14-pyhd8ed1ab_0.tar.bz2”h+Œ 3d50be7318643b6d731b7cbb310338c1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/napari-0.4.14-pyhd8ed1ab_0.tar.bz2”h0Œ@48af0b33ce8b19e16b294f83a762e56220b8a96dda4e12474bca9a578cd2fb4f”h2NhNh3(Œappdirs >=1.4.4”Œcachey >=0.2.1”Œcertifi >=2020.6.20”Œdask >=2.15.0,!=2.28.0”Œfsspec”Œimageio >=2.5.0,!=2.11.0”Œimportlib-metadata >=1.5.0”Œjsonschema >=3.2.0”Œmagicgui >=0.3.3”Œnapari-console >=0.0.4”Œnapari-plugin-engine >=0.1.9”Œnapari-svg >=0.1.4”Œnpe2 >=0.1.1”Œnumpy >=1.18.5”Œnumpydoc >=0.9.2”Œpandas >=1.1.0”Œpillow !=7.1.0,!=7.1.1”Œpint >=0.17”Œpooch >=1.3.0”Œpsutil >=5.0”Œpydantic >=1.8.1”Œpyopengl >=3.1.0”Œpyqt”Œpython >=3.7,<3.11.0a0”Œpyyaml >=5.1”Œqtpy >=1.7.0”Œscikit-image >=0.18.1,!=0.19.0”Œscipy >=1.4.0”Œsuperqt >=0.2.5”Œtifffile >=2020.2.16”Œtoolz >=0.10.0”Œtqdm >=4.56.0”Œtyping_extensions”Œvispy >=0.9.4,<0.10”Œwrapt >=1.11.1”Œzarr”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÇiT›¦hEJÅ hFˆubh)”}”(hŒgoogle-cloud-bigquery”h#Œ1.28.0”h%Œpyh32f6830_0”h'K hhh(h)hŒ1google-cloud-bigquery-1.28.0-pyh32f6830_0.tar.bz2”h+Œ ae567e6e5fca7152a12b1da31efc9268”h.Œ_https://conda.anaconda.org/conda-forge/noarch/google-cloud-bigquery-1.28.0-pyh32f6830_0.tar.bz2”h0Œ@4dd6c3b1b3f4c7d24251f8f96c925f8bb20fd9aedc68284ebbbc11e374c44121”h2NhNh3(Œ#google-cloud-bigquery-core 1.28.0.*”Œgoogle-cloud-bigquery-storage”Œipython”Œpandas”Œpyarrow”Œpython”Œtqdm”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ÞÚÄXå`hEM1'hFˆubh)”}”(hŒ
r-ggthemes”h#Œ4.2.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-ggthemes-4.2.4-r36hc72bb7e_0.tar.bz2”h+Œ 8cd7b6db880bf931e20f88d3daa1fee9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggthemes-4.2.4-r36hc72bb7e_0.tar.bz2”h0Œ@fa232c6d1df4170767ec64fa97c36c393594bc7c60c0c2fbbf938152794772c8”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=3.0.0”Œr-purrr”Œr-scales”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ 	xÕhEJ$ hFˆubh)”}”(hŒ	r-polycor”h#Œ0.8_1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-polycor-0.8_1-r40hc72bb7e_0.tar.bz2”h+Œ 63f4bce0fb18c59ff74604ef055585d6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-polycor-0.8_1-r40hc72bb7e_0.tar.bz2”h0Œ@9dea50bdf55972a6ab326095fbe4d9f2778133e58523a9a904dbddb4a59a8819”h2NhNh3(Œr-admisc >=0.22”Œr-base >=4.0,<4.1.0a0”Œr-matrix”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØw¤žÊ~úhEJÜU hFˆubh)”}”(hŒtestflows.asserts”h#Œ6.5.221019.1152644”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9testflows.asserts-6.5.221019.1152644-pyhd8ed1ab_0.tar.bz2”h+Œ ff5703875576aefa2ceb909952fcc222”h.Œghttps://conda.anaconda.org/conda-forge/noarch/testflows.asserts-6.5.221019.1152644-pyhd8ed1ab_0.tar.bz2”h0Œ@41bf9807011ee158d30f9c6aa25aa933850e9f67b6ed933565ef22f534820a25”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÔa•hEMv;hFˆubh)”}”(hŒ
r-varselrf”h#Œ0.7_8”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ)r-varselrf-0.7_8-r40hc72bb7e_1002.tar.bz2”h+Œ 2bdcbcfb999c460106cf3fa6aef6e7c9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varselrf-0.7_8-r40hc72bb7e_1002.tar.bz2”h0Œ@ee9a302e096d9938312d56534c6df8aa34493f62a793bfa7f106d501bf81f2f1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-randomforest”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+:¤¬hEJ–ï hFˆubh)”}”(hŒr-ez”h#Œ4.4_0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ r-ez-4.4_0-r42hc72bb7e_2.tar.bz2”h+Œ 95c7fff1ef613a387bdf6d48de908c8c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ez-4.4_0-r42hc72bb7e_2.tar.bz2”h0Œ@98e0dfbc0443cb4146bf94ac9e6059ee8c6eb7eec03cec95510edf0f1a945200”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car >=2.1_3”Œr-ggplot2 >=2.1.0”Œr-lme4 >=1.1_12”Œr-mass >=7.3_45”Œr-matrix >=1.2_7.1”Œr-mgcv >=1.8_12”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”Œr-scales >=0.4.0”Œr-stringr >=1.1.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÓ[¢8ÔþhEJª‘ hFˆubh)”}”(hŒcachier”h#Œ1.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cachier-1.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ fbd7ddee56eeb249e1b983798e93afd5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cachier-1.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@889ef786f41e43e669c6be811c7fcf30fe7edfa15d01ef610288b32fc8c03688”h2NhNh3(Œclick”Œ	pathtools”Œportalocker”Œpython >=3.7”Œwatchdog”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ®‡¯hshEMëIhFˆubh)”}”(hŒr-sticky”h#Œ0.5.6.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-sticky-0.5.6.1-r40hc72bb7e_0.tar.bz2”h+Œ 69fb5aca75f1ab697a63737b17e1ecff”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sticky-0.5.6.1-r40hc72bb7e_0.tar.bz2”h0Œ@9c04eb8cae833261f4ff29818bb3fa5c7ecc9579c5eb3eefd2ff1d4f80a9e9a3”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ¡Ú¼öVhEMŽ®hFˆubh)”}”(hŒpastedeploy”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pastedeploy-3.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ e56fb3c460e268a639159fba5aa7a36d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pastedeploy-3.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7289333d01877e604b018bcf8f9ba60e2f2ab4316caa1508abf2c33b7ae66227”h2NhNh3Œpython >=3.7”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÓ‚½W¾whEMµIhFˆubh)”}”(hŒgconf2-cos7-x86_64”h#Œ3.2.6”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.gconf2-cos7-x86_64-3.2.6-h9d98e8f_1104.tar.bz2”h+Œ c56d6023143e2d5cc6039acff34c08e5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gconf2-cos7-x86_64-3.2.6-h9d98e8f_1104.tar.bz2”h0Œ@7a8e8d5b2f503141096eea7c277ce4fad0dbb59ed4db82601ed64bdb0f625747”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Éy'PA‰hEJ‰ hFˆubh)”}”(hŒoneagent-sdk”h#Œ1.4.0.20210127.165413”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ7oneagent-sdk-1.4.0.20210127.165413-pyh6c4a22f_0.tar.bz2”h+Œ 38df12f864123c2388c9a697049c540a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/oneagent-sdk-1.4.0.20210127.165413-pyh6c4a22f_0.tar.bz2”h0Œ@e63b62ce656e1d23659058a969ebbd992111719fb73e0823100e7aae9943249b”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ-åNÈ´hEM´ÃhFˆubh)”}”(hŒ	conda-env”h#Œ2.6.0”h%ja h'Khhh(h)hŒconda-env-2.6.0-1.tar.bz2”h+Œ 2e87f617581c88d249c72bfd350936eb”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/conda-env-2.6.0-1.tar.bz2”h0Œ@71eb2720ec4de5cf81bea8751fa784caf1081feca3fef94dd7d873ce241cc942”h2NhNh3)h9h?h@ŒBSD 3-Clause”hDGAÖÚj•‘hhEM	hFˆubh)”}”(hŒr-sparsemvn”h#Œ0.2.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-sparsemvn-0.2.2-r40hc72bb7e_0.tar.bz2”h+Œ 853e695e4645f6ca46183de0d6ef1b9f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-sparsemvn-0.2.2-r40hc72bb7e_0.tar.bz2”h0Œ@6474d738058d79879d395d956e77a9f08eb8db7d9002a1a05a2469c976e9d27f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrix >=1.2.12”†”h9hºh@ŒMPL (>= 2.0)”hBŒOTHER”hDGAØ]¼ÖhEJ” hFˆubh)”}”(hŒmaya”h#Œ0.6.1”h%Œpy_0”h'K hhh(h)hŒmaya-0.6.1-py_0.tar.bz2”h+Œ f72447521c15f292b3ce11bb3d040a0f”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/maya-0.6.1-py_0.tar.bz2”h0Œ@036fc7c943d14c0ba2b929a398b114540bfa00af8cfb85bde257010adc8e28db”h2NhNh3(Œdateparser >=0.7.0”Œhumanize”Œpendulum >=2.0.2”Œpython”Œpytz”Œsnaptime”Œtzlocal”t”h9h?h@ŒMIT”hBŒMIT”hDGA×íFÞ{hEMà7hFˆubh)”}”(hŒbytecode”h#Œ0.13.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$bytecode-0.13.0-pyhd8ed1ab_0.tar.bz2”h+Œ 41af96ed936abee7162621a7f4b7e6a3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/bytecode-0.13.0-pyhd8ed1ab_0.tar.bz2”h0Œ@67fbec15b9bb4ebbb214eb049c2433cf1291f1a6a9f57bd3c5e9c695bcb0bb9e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØjå/hEM¢hFˆubh)”}”(hŒr-rideogram”h#Œ0.2.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-rideogram-0.2.2-r35h6115d3f_0.tar.bz2”h+Œ d62e67e679a4812424eb18f6f1538022”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rideogram-0.2.2-r35h6115d3f_0.tar.bz2”h0Œ@65599d91e6286d05c48221a2f6c3c4335dd8ed9986efdc1fc739078a7ecbaaf5”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-grimport2”Œr-rsvg”Œr-scales”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA×‰ÑÉë…hEJgŽ) hFˆubh)”}”(hŒ	fcd_torch”h#Œ1.0.7”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$fcd_torch-1.0.7-pyh9f0ad1d_0.tar.bz2”h+Œ 64557bf235f94404ace0e91ea521ef78”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fcd_torch-1.0.7-pyh9f0ad1d_0.tar.bz2”h0Œ@7db78f6b3d821e31df209a8c945cf5607819575ad8526030dd178a2963dc90c4”h2NhNh3(Œnumpy”Œpython”Œpytorch >=1.1”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¿!n&ff•      hEJ-R hFˆubh)”}”(hŒthreadpoolctl”h#Œ3.1.0”h%Œpyh8a188c0_0”h'K hhh(h)hŒ(threadpoolctl-3.1.0-pyh8a188c0_0.tar.bz2”h+Œ a2995ee828f65687ac5b1e71a2ab1e0c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.1.0-pyh8a188c0_0.tar.bz2”h0Œ@c7a964811ba49c545236f7d6c2486b2ed493931660048a06fe94ecc851dd0b82”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~ÒòhEMSGhFˆubh)”}”(hŒpy6s”h#Œ1.9.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpy6s-1.9.2-pyhd8ed1ab_0.tar.bz2”h+Œ 248ed4c1d88733655bf67cd245110d11”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/py6s-1.9.2-pyhd8ed1ab_0.tar.bz2”h0Œ@eb48fc7cd38c8efe9b7c48cbfe5d0b0babaa34f24437c60b611a173b0427c19a”h2NhNh3(Œnumpy”Œpysolar >=0.9”Œpython >=3.6”Œpython-dateutil”Œscipy”Œsixs”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ¯·¦W²hEJ"% hFˆubh)”}”(hŒr-geoprocessor”h#Œ0.2.0”h%Œr42ha770c72_1”h'Khhh(h)hŒ*r-geoprocessor-0.2.0-r42ha770c72_1.tar.bz2”h+Œ 6783d9a2927dceaac86ff42cd4c872fd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-geoprocessor-0.2.0-r42ha770c72_1.tar.bz2”h0Œ@6ee1d0071e0379fa31386d792ae4e08d75982efff952a512c375597cec097a1d”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-gdalutils”Œr-rgdal”Œr-sp”Œr-transformer >=1.6.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ®Ãr~úhEJhG hFˆubh)”}”(hŒr-pwr”h#Œ1.3_0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ!r-pwr-1.3_0-r36h6115d3f_0.tar.bz2”h+Œ d529630f9f982c31e6d255874a629919”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pwr-1.3_0-r36h6115d3f_0.tar.bz2”h0Œ@8cc083376cca4aaec0f4a824aae0b60c457ee274a8ff981c03020bff4e59184f”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×œ1«‡hEJz± hFˆubh)”}”(hŒpg8000”h#Œ1.29.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pg8000-1.29.3-pyhd8ed1ab_0.tar.bz2”h+Œ 68d6ccf9cf531aac4fb307f938e8141f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pg8000-1.29.3-pyhd8ed1ab_0.tar.bz2”h0Œ@e87c9f6f8ab76e45117494fdf924a46c189f3b7dcbee552ca9220704110eaa6d”h2NhNh3(Œimportlib-metadata >=1.0”Œpython >=3.7”Œpython-dateutil >=2.8.2”Œscramp >=1.4.3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ×F¶Å¸hEMR£hFˆubh)”}”(hŒflask-babel”h#Œ0.12.2”h%Œpy_1”h'Khhh(h)hŒflask-babel-0.12.2-py_1.tar.bz2”h+Œ d2811eca337a56082079172007c09676”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/flask-babel-0.12.2-py_1.tar.bz2”h0Œ@7a562030ef9961233b2eb12ab2a7c308cb838f135cb707d99e354c1c271371ba”h2NhNh3(Œbabel >=2.3”Œflask”Œjinja2 >=2.5”Œpython”Œwerkzeug <1.0”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×Å`IºhEM/hFˆubh)”}”(hŒ
jupyterlab”h#Œ3.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%jupyterlab-3.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ c3f50a279e3f52b0e63739a3b45eb4cc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-3.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6e7bc516d3693f912358fce8f4c75d31d0d1af38407a3b8eb0f08dbe73935bec”h2NhNh3(Œipython”Œjinja2 >=2.10”Œjupyter_core”Œjupyter_server >=1.16,<3”Œjupyterlab_server >=2.10,<3”Œ	nbclassic”Œnotebook <7”Œ	packaging”Œpython >=3.7”Œtomli”Œtornado >=6.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕŸó˜bhEJ	` hFˆubh)”}”(hŒ	r-shinylp”h#Œ1.1.2”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ)r-shinylp-1.1.2-r351h6115d3f_1000.tar.bz2”h+Œ cab32875dae092d7f52ce1a719ba52d2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinylp-1.1.2-r351h6115d3f_1000.tar.bz2”h0Œ@38f73af8a6dc467d3c3501ab94b50351c25eea7817a6a27051d5253fea2dce28”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGAÖýN/£×hEM_hFˆubh)”}”(hŒorbit2-cos7-ppc64le”h#Œ2.14.19”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1orbit2-cos7-ppc64le-2.14.19-h9d98e8f_1104.tar.bz2”h+Œ 2c3eecd7e72b8ecc55bdc0138c58b8f8”h.Œ_https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-ppc64le-2.14.19-h9d98e8f_1104.tar.bz2”h0Œ@3458be53aaa0e94c9a63a99692191aa141148e9583dd1a0fdee7bebe0afc9b7c”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×É{©7LhEJŒ  hFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-ppc64le”h#Œ1.2.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ;libxscrnsaver-devel-cos7-ppc64le-1.2.2-hdf0574f_102.tar.bz2”h+Œ 95a742414e058c3c12482a3f82d02467”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-ppc64le-1.2.2-hdf0574f_102.tar.bz2”h0Œ@a9a045f03ced503cf0ef1e37d4625e31d4bf99cd393958caa42c8a7d12942b26”h2NhNh3Œ(libxscrnsaver-cos7-ppc64le ==1.2.2 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶ý½‘hhEM3hFˆubh)”}”(hŒbunq-sdk”h#Œ1.14.18”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%bunq-sdk-1.14.18-pyhd8ed1ab_0.tar.bz2”h+Œ 6c17d9c6b6b41bcc693334e2c9fe5771”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/bunq-sdk-1.14.18-pyhd8ed1ab_0.tar.bz2”h0Œ@7b6b5d949e766186318d25a3d00b1131dcae4f780eaf61a9de166a15364f067c”h2NhNh3(Œaenum >=2.2.4,<3.0.0”Œchardet >=3.0.4,<4.0.0”Œpycryptodomex >=3.9.8,<4.0.0”Œpython >=3.7”Œrequests >=2.24.0,<3.0.0”Œsimplejson >=3.17.2,<4.0.0”Œurllib3 >=1.25.10,<2.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØYÍ[hEJ© hFˆubh)”}”(hŒplotly”h#Œ3.10.0”h%Œpy_0”h'K hhh(h)hŒplotly-3.10.0-py_0.tar.bz2”h+Œ 6e611bb2c073a22b7eaa6820cbc6b5c5”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/plotly-3.10.0-py_0.tar.bz2”h0Œ@55c0e87c764dbab006c06612cbfe6981b6a36fa4674fb0089c28ea99ab55d1b0”h2NhNh3(Œdecorator >=4.0.6”Œnbformat >=4.2”Œpython”Œpytz”Œrequests”Œretrying >=1.3.3”Œ
setuptools”Œsix”t”h6Œipywidgets <8.0.0”…”h9h?h@ŒMIT”hBŒMIT”hDGA×<gV{hEJ!ªmhFˆubh)”}”(hŒr-xopen”h#Œ1.0.0”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ'r-xopen-1.0.0-r351h6115d3f_1000.tar.bz2”h+Œ 23cb46e38d163f02f596c465de8a6092”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-xopen-1.0.0-r351h6115d3f_1000.tar.bz2”h0Œ@4a3682e0e6efdb9e42a370e13e1379cea20f004d9844abbaff5f5d00c3457398”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ
r-processx”†”h9hºh@ŒMIT”hBŒMIT”hDGAÖü4í?}hEM[nhFˆubh)”}”(hŒr-d3heatmap”h#Œ0.6.1.2”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ,r-d3heatmap-0.6.1.2-r36h6115d3f_1003.tar.bz2”h+Œ 6fb79654884a8e3776fec77eeff18a6d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-d3heatmap-0.6.1.2-r36h6115d3f_1003.tar.bz2”h0Œ@646d2232bbc39ea77186eb8d204c071a9ee7a495c0e7d4baed5b8d9b16baee92”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-base64enc”Œr-dendextend >=0.18.0”Œr-htmlwidgets”Œr-png”Œr-scales >=0.2.5”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬æFE¢hEJE¢ hFˆubh)”}”(hŒrb-kramdown-parser-gfm”h#Œ1.1.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ/rb-kramdown-parser-gfm-1.1.0-hc42de5b_0.tar.bz2”h+Œ 30ec56a906071ce095b42b3a547a3fd8”h.Œ]https://conda.anaconda.org/conda-forge/noarch/rb-kramdown-parser-gfm-1.1.0-hc42de5b_0.tar.bz2”h0Œ@bebc966199d53cbc372d0d28aa25e856b656fb5d963c2143ea36598afe8ec34a”h2NhNh3Œrb-kramdown >=2.0,<3”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ZyXhEMåehFˆubh)”}”(hŒr-xlconnectjars”h#Œ0.2_15”h%Œr35h6115d3f_2”h'Khhh(h)hŒ,r-xlconnectjars-0.2_15-r35h6115d3f_2.tar.bz2”h+Œ b463ab18670f244f156d5ff49c4d9d54”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-xlconnectjars-0.2_15-r35h6115d3f_2.tar.bz2”h0Œ@408b57d4c6810701e6ffcc3801a6fe514620790bd314dbd14586dd51bc657273”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LW¬SC–hEJ@Þ hFˆubh)”}”(hŒ
r-corrplot”h#Œ0.92”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-corrplot-0.92-r41hc72bb7e_1.tar.bz2”h+Œ 56f8c702c349998ffd5f323b12d6fd4c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-corrplot-0.92-r41hc72bb7e_1.tar.bz2”h0Œ@9234e978b2e8a16b369b61702bab51610ab32786a309ee0ac5cb5a61e51d1b17”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ`ì²ÐåhEJñ; hFˆubh)”}”(hŒdm-haiku”h#Œ0.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dm-haiku-0.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ b84d2a193619d23394cfb99201f85168”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dm-haiku-0.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@2520870987aef92ec8cde630057c0119e1e640cfe3499c8ce1c1e46e3670ecb4”h2NhNh3(Œabsl-py >=0.7.1”Œjax”Œjmp”Œnumpy >=1.18.0”Œpython >=3.6”Œtabulate”t”h9h?h@Œ
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matplotlib”Œpython >=3.6”Œvega”Œwidgetsnbextension”t”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAÖáš­‘hhEJ^Æ hFˆubh)”}”(hŒ	jsonmerge”h#Œ1.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$jsonmerge-1.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8c67d09d84a7c2882c6b40e4b24bea8e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/jsonmerge-1.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@aefdc80586cfd1809675a87d3ccf34b5b13f9c6ad73de1260bdc6192c12a3557”h2NhNh3Œ
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r-ggdendro”Œr-ggplot2 >=2.0.0”Œr-gtable >=0.1.2”Œr-magrittr >=1.5”Œr-plyr >=1.8.3”Œr-scales >=0.3.0”t”h9hºh@ŒCC0-1.0”hBŒOTHER”hDGAØÓ„vùÛhEJö hFˆubh)”}”(hŒfribidi-cos7-aarch64”h#Œ1.0.2”h%Œha826a6f_103”h'Kghhh(h)hŒ/fribidi-cos7-aarch64-1.0.2-ha826a6f_103.tar.bz2”h+Œ 797469834dd3a0e3bc3b8ea6f6b670cd”h.Œ]https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-aarch64-1.0.2-ha826a6f_103.tar.bz2”h0Œ@72f60286df15f02714f906f9d636ee479200ccf9d02a460d40bde665f411bf5b”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGA×Æ/¥îéyhEJ›4 hFˆubh)”}”(hŒ
rosinstall”h#Œ0.7.8”h%Œpy_0”h'K hhh(h)hŒrosinstall-0.7.8-py_0.tar.bz2”h+Œ f686699468cc8e5a779daaf9eea43ed9”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/rosinstall-0.7.8-py_0.tar.bz2”h0Œ@2d349794d1e17896fd6cce80efd01de7dfba6c85b3ced87465c47a75868525fc”h2NhNh3(Œ
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sridentify”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%sridentify-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 122f6ba9b4b88be7d38ac30f4a736366”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sridentify-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@86d505e401a42b2a8f7693e37d25cb1d87ca01205d6b4c5cfb06cee2661913e8”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ?aûçhEJ;w hFˆubh)”}”(hŒpyjwkest”h#Œ1.4.2”h%Œpy_0”h'K hhh(h)hŒpyjwkest-1.4.2-py_0.tar.bz2”h+Œ a65780ab7127b08013c6172d2cc1eeca”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pyjwkest-1.4.2-py_0.tar.bz2”h0Œ@b35687a2bfbeaa1f499de778b0f57cac402ed214dcdcbbb4e829fdacb4a28a4c”h2NhNh3(Œfuture”Œpycryptodomex”Œpython”Œrequests”Œsix”t”h9h?h@Œ
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r-progress”h#Œ1.2.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-progress-1.2.2-r36h6115d3f_1.tar.bz2”h+Œ 08c1a2b9e7bd3d3dfa3949456035918f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progress-1.2.2-r36h6115d3f_1.tar.bz2”h0Œ@e92c12b94754b36aedf481846fd13180676359e4f867ce9278e644f99c6ac614”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crayon”Œr-hms”Œr-prettyunits”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGA×KÌ¹·
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r-v8 >=1.0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×¯æ–{hEJÄÎ hFˆubh)”}”(hŒtransformers”h#Œ4.23.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(transformers-4.23.1-pyhd8ed1ab_0.tar.bz2”h+Œ f8d098e5502ad5ca3b9185bfdfc8e00b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/transformers-4.23.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f66986eb4c90af377f21a651db07717fa9396815c2d8e6e1df2535463ef20395”h2NhNh3(Œdataclasses”Œdatasets”Œfilelock”Œhuggingface_hub”Œimportlib_metadata”Œnumpy”Œ	packaging”Œpython >=3.7”Œpytorch”Œpyyaml”Œregex !=2019.12.17”Œrequests”Œ
sacremoses”Œtokenizers >=0.11.1,!=0.11.3”Œtqdm >=4.27”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÑŽ!ÑÛ#hEJŸâ( hFˆubh)”}”(hŒr-optextras”h#Œ	2019_12.4”h%Œr35h6115d3f_0”h'K hhh(h)hŒ+r-optextras-2019_12.4-r35h6115d3f_0.tar.bz2”h+Œ 7052966e4d264dfa1fc160f756b08081”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-optextras-2019_12.4-r35h6115d3f_0.tar.bz2”h0Œ@3ae63da71da92f48a9c5fe7611ef94d4321548cee2cdeeb01e20166c3d8c9a5f”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×€VbbhEJŠ hFˆubh)”}”(hŒcelery”h#Œ5.2.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!celery-5.2.7-pyhd8ed1ab_0.tar.bz2”h+Œ 52a7763bc552589e721708b5872da9b5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/celery-5.2.7-pyhd8ed1ab_0.tar.bz2”h0Œ@87b8418be9d5d5e32d412c70ddff6c49990a9ae1ed695fce924c720b52b312ec”h2NhNh3(Œbilliard >=3.6.4.0,<4.0”Œclick >=8.0.3,<9.0”Œclick-didyoumean >=0.0.3”Œclick-plugins >=1.1.1”Œclick-repl >=0.2.0”Œimportlib-metadata >=1.4.0”Œkombu >=5.2.3,<6.0”Œpython >=3.7”Œpytz >=2021.3”Œvine >=5.0.0,<6.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¤ï.§ðhEJ†4 hFˆubh)”}”(hŒglib2-cos7-ppc64le”h#Œ2.56.1”h%Œha826a6f_103”h'Kghhh(h)hŒ.glib2-cos7-ppc64le-2.56.1-ha826a6f_103.tar.bz2”h+Œ d1e17b615ef42b03ab39c1e82ce1bd02”h.Œ\https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-ppc64le-2.56.1-ha826a6f_103.tar.bz2”h0Œ@de55e6257ece74585162e3f0d7ac2b950f4704d2ff178d779b152af8f58674f2”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/1§ÎÙhEJ–\. hFˆubh)”}”(hŒ
pyjsparser”h#Œ2.7.1”h%Œpyh8c360ce_0”h'K hhh(h)hŒ%pyjsparser-2.7.1-pyh8c360ce_0.tar.bz2”h+Œ f202350921914a910cd827edb6a75960”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyjsparser-2.7.1-pyh8c360ce_0.tar.bz2”h0Œ@3a67fca9882a4c939250d9143429ba65b2ce9d422a0a8b2a3c8880d7ecf33f00”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×šïKÇhEM%`hFˆubh)”}”(hŒinterface_meta”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)interface_meta-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7fecf805b0d6088be8a8ace97728387d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/interface_meta-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3e56d658a52ee3fecee0bdcc579bdb44a3f7b6606acfae2a2edbc4df732c6869”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ’’Í[t¼hEMÖ>hFˆubh)”}”(hŒ
r-pinfsc50”h#Œ1.2.0”h%Œr40_0”h'K hhh(h)hŒr-pinfsc50-1.2.0-r40_0.tar.bz2”h+Œ ef6046d81675c6a0261900975636e2b2”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-pinfsc50-1.2.0-r40_0.tar.bz2”h0Œ@93d7920a39ff74fe735a2e230e297d17c468decfdab23f6bc7a5d2c3b8e5785a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×µù$>¸RhEJn5 hFˆubh)”}”(hŒr-shinymanager”h#Œ1.0.410”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-shinymanager-1.0.410-r40hc72bb7e_0.tar.bz2”h+Œ 4edf95410b97335bbe48b95b2ae16b22”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinymanager-1.0.410-r40hc72bb7e_0.tar.bz2”h0Œ@129aa28bcf9535c892326571fceea72499ce45202e86d11f59281ed9aaccf960”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-billboarder”Œr-dbi”Œ
r-dt >=0.5”Œr-htmltools”Œ	r-openssl”Œ	r-r.utils”Œr-r6”Œ	r-rsqlite”Œr-scrypt”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÌ·ãý¡ËhEJ†  hFˆubh)”}”(hŒlibice-cos6-x86_64”h#Œ1.0.6”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libice-cos6-x86_64-1.0.6-h9d98e8f_1104.tar.bz2”h+Œ 1dfc3a37445e1c1c64185ae2a60af202”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libice-cos6-x86_64-1.0.6-h9d98e8f_1104.tar.bz2”h0Œ@48b27204c5a9d336c23e93b1c9caed4617dcbf2085ed4962475f21829bc89843”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éyfø´9hEMnÙhFˆubh)”}”(hŒr-splitstackshape”h#Œ1.4.8”h%Œr36h6115d3f_1”h'Khhh(h)hŒ-r-splitstackshape-1.4.8-r36h6115d3f_1.tar.bz2”h+Œ 4b5ec246422eb7d2a877ad23bc49dedd”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-splitstackshape-1.4.8-r36h6115d3f_1.tar.bz2”h0Œ@6502417b229eaaa62417b5192e0226c560b3c50a48c2e0f4f558e24d64c8b4e6”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-data.table >=1.9.4”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¢ÖùÛhEJ' hFˆubh)”}”(hŒ
fastimport”h#Œ0.9.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&fastimport-0.9.14-pyhd8ed1ab_0.tar.bz2”h+Œ 5bbf72b95ff5264b4dbad99376fb7e9b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/fastimport-0.9.14-pyhd8ed1ab_0.tar.bz2”h0Œ@f8a7419d96f3dd913abc6cd1f3d6804a06eb777a76fdcfcd16c7d5ea42cf4d13”h2NhNh3Œpython >=3.5”…”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØH÷¼ºÐåhEM'¬hFˆubh)”}”(hŒgtk2-devel-cos7-x86_64”h#Œ2.24.31”h%Œha826a6f_1103”h'MOhhh(h)hŒ4gtk2-devel-cos7-x86_64-2.24.31-ha826a6f_1103.tar.bz2”h+Œ 8a3d9f439942e2dcc526c27293c0ebd4”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos7-x86_64-2.24.31-ha826a6f_1103.tar.bz2”h0Œ@c0a23e1d909f3bab7305d86adf53aa5da4033d7b96009b68835065f807672880”h2NhNh3(Œ%atk-devel-cos7-x86_64 >=1.29.4 *_1103”Œ&cairo-devel-cos7-x86_64 >=1.6.0 *_1103”Œ'glib2-devel-cos7-x86_64 >=2.28.0 *_1103”Œ!gtk2-cos7-x86_64 ==2.24.31 *_1103”Œ'pango-devel-cos7-x86_64 >=1.20.0 *_1103”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ3p.ùÛhEJ† 6 hFˆubh)”}”(hŒr-chemometrics”h#Œ1.4.2”h%Œr35_1001”h'Méhhh(h)hŒ%r-chemometrics-1.4.2-r35_1001.tar.bz2”h+Œ c08a56310b5cc6a6a430d5cd440b978d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-chemometrics-1.4.2-r35_1001.tar.bz2”h0Œ@6583cc95f12c89461d2c55682bf902d053a44a5a9bbd86a00d25b1f413ef6641”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-class”Œr-e1071”Œr-lars”Œr-mass”Œr-mclust”Œr-nnet”Œr-pcapp”Œr-pls”Œr-robustbase”Œr-rpart”Œr-som”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×M$9»hEJo@? hFˆubh)”}”(hŒexpat-cos7-aarch64”h#Œ2.1.0”h%Œ
h1341992_0”h'K hhh(h)hŒ+expat-cos7-aarch64-2.1.0-h1341992_0.tar.bz2”h+Œ 836a673db4f7d52f0ed04b37dd2d45b1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/expat-cos7-aarch64-2.1.0-h1341992_0.tar.bz2”h0Œ@7e02477606e2f592995a321ce5a81324e549acedfaef56a3155d75b15e675440”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ZFŽúñªhEJhK hFˆubh)”}”(hŒpresto-python-client”h#Œ0.8.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/presto-python-client-0.8.3-pyhd8ed1ab_0.tar.bz2”h+Œ b4a19a628b909acf16f2123b5c8862b3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/presto-python-client-0.8.3-pyhd8ed1ab_0.tar.bz2”h0Œ@9b24c51f4c588d7df313c58715f025250e416944942a16d7df66cc0e2be995fe”h2NhNh3(Œclick”Œpython >=3.5”Œrequests”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÑ3*éÊÁhEMYhFˆubh)”}”(hŒ
binarytree”h#Œ6.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%binarytree-6.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1cc883ed6a0c57c771aa31a42277da11”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/binarytree-6.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@816cf0e4807491ca9d0628e2d417ffa2eef758f1ab23cc22c10ad8e31641b5ac”h2NhNh3(Œpython >=3.6”Œpython-graphviz”Œsetuptools >=42”Œsetuptools_scm >=3.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØTß²hEMÑPhFˆubh)”}”(hŒrb-parallel”h#Œ1.18.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ%rb-parallel-1.18.0-hc42de5b_0.tar.bz2”h+Œ 3750377d222d18122042014b01398dca”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/rb-parallel-1.18.0-hc42de5b_0.tar.bz2”h0Œ@e473f948405e7522427673accb55ff9ef1cd713509c32de76263baeeb339e487”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×fzÒ£¥ãhEM†AhFˆubh)”}”(hŒweberror”h#Œ0.13.1”h%Œpy_0”h'K hhh(h)hŒweberror-0.13.1-py_0.tar.bz2”h+Œ 4503a353642b13c2d8e56de053e045a0”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/weberror-0.13.1-py_0.tar.bz2”h0Œ@03f5f4b5e5d4224c0119bf8e5efafb0ceffab1f8cc93fed19b58c82a8b428469”h2NhNh3(Œpaste >=1.7.1”Œpygments”Œpython”Œtempita”Œwebob”t”h9h?h@ŒMIT”hBŒMIT”hDGA×e;dSçmhEJ› hFˆubh)”}”(hŒr-prediction”h#Œ0.3.14”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ)r-prediction-0.3.14-r41hc72bb7e_3.tar.bz2”h+Œ 66ce93e750eb8f0e037a4aa2e75cc6ee”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prediction-0.3.14-r41hc72bb7e_3.tar.bz2”h0Œ@dc2256e84dca4de83c9041ce7b978773c1e3e28fba32b00a802e6795c432c337”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÛ×|îhEJÄÐ hFˆubh)”}”(hŒpytest-tornado5”h#Œ2.0.0”h%Œpy_0”h'K hhh(h)hŒ"pytest-tornado5-2.0.0-py_0.tar.bz2”h+Œ be9bc8621d98a9d72154cdb9ff8b6097”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pytest-tornado5-2.0.0-py_0.tar.bz2”h0Œ@3db13f2e98a5b9a2e72f4417989cd1b16d01a58362e28b9262872ae7bed72a98”h2NhNh3Œpytest”Œpython 2.7.*”Œtornado”‡”h9h?h@Œ
Apache 2.0”hBŒApache”hDGA×È}z¬hEMŒ3hFˆubh)”}”(hŒr-dendroextras”h#Œ0.2.3”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ-r-dendroextras-0.2.3-r42hc72bb7e_1003.tar.bz2”h+Œ 74c837531679f91ba13007873ebf6179”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-dendroextras-0.2.3-r42hc72bb7e_1003.tar.bz2”h0Œ@b8fbab6a50e1aaac53fd6bd842c684c2001032d1e4075d5ea7b970f7108f4770”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ‹—2ñªhEM;ÎhFˆubh)”}”(hŒ	r-capushe”h#Œ1.1.1”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ)r-capushe-1.1.1-r351h6115d3f_1001.tar.bz2”h+Œ 16ec7dd7bb97fd178c4480bb621d67cf”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-capushe-1.1.1-r351h6115d3f_1001.tar.bz2”h0Œ@7482ea0c0c8a200ec30987f0547410fec04bf8f2fe735460e1ea58f1fe434058”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-mass”†”h9hºh@ŒGPL (>= 2.0)”hBŒGPL3”hDGAÖý1—¾whEJ…Ó hFˆubh)”}”(hŒ
r-codemeta”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-codemeta-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ e617de8aec68dc17f2965a74906fb80f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-codemeta-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@356431ba11625073b9c20174d33b7e3418cb02a652f443f188fafc0e1575528b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-desc”Œr-jsonlite >=1.6”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¸öIG®hEJtÙ hFˆubh)”}”(hŒ	gitpython”h#Œ3.1.11”h%Œpy_0”h'K hhh(h)hŒgitpython-3.1.11-py_0.tar.bz2”h+Œ 4b723fdb7778db332faa8f2613fe6bf3”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.11-py_0.tar.bz2”h0Œ@3e6739311dddb5a6da29154b2723471b10bdec34c612699e4e0af369d208f2e8”h2NhNh3Œgitdb >=4.0.1,<5”Œpython >=3.4”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ä·¤ûC–hEJÁ· hFˆubh)”}”(hŒr-drc”h#Œ3.0_1”h%Œr35_1002”h'Mêhhh(h)hŒr-drc-3.0_1-r35_1002.tar.bz2”h+Œ e32a4860872749862c930c82dd785455”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-drc-3.0_1-r35_1002.tar.bz2”h0Œ@8099f22dcbd8c548d03978664801db0e296cf3e105218aee3d27a7bba4c24fe9”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-car”Œr-gtools”Œr-mass”Œ
r-multcomp”Œ	r-plotrix”Œr-scales”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×M¼C–hEJa( hFˆubh)”}”(hŒshared-memory-dict-django”h#Œ0.7.2”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ2shared-memory-dict-django-0.7.2-hd8ed1ab_0.tar.bz2”h+Œ 706fa7957a761b4561e70c4e5b91155b”h.Œ`https://conda.anaconda.org/conda-forge/noarch/shared-memory-dict-django-0.7.2-hd8ed1ab_0.tar.bz2”h0Œ@4bbb0fcb4a4c328945bd0ff686e4de2f354b8d977adc7ea8ba79532407b1219a”h2NhNh3Œdjango”Œ%shared-memory-dict 0.7.2 pyhd8ed1ab_0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÂ¿Jó¶hEMÛhFˆubh)”}”(hŒhybridcontents”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒ!hybridcontents-0.3.0-py_0.tar.bz2”h+Œ 3e7d0c39945708bc2bebf387fb3c0062”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/hybridcontents-0.3.0-py_0.tar.bz2”h0Œ@98a98443f391fe201f06ceb425a31266acef5ef281b59c67817f81c16e11427f”h2NhNh3(Œnotebook”Œpython”Œrequests >=2.7.0”Œsix >=1.9.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×Š0vpÄœhEMàFhFˆubh)”}”(hŒ	r-regress”h#Œ1.3_21”h%Œr40_0”h'K hhh(h)hŒr-regress-1.3_21-r40_0.tar.bz2”h+Œ 3b4e69855c06f0dfa6486418c73509d1”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-regress-1.3_21-r40_0.tar.bz2”h0Œ@e336f4365b79668d3f1a993b18e080e223cf62f3cdad5d570e3eca22dc4ff695”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×»˜;×
hEJ´K hFˆubh)”}”(hŒlark-parser”h#Œ0.12.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'lark-parser-0.12.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2d1f963b23792b269635b9b32bee1913”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/lark-parser-0.12.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5a1b0fb3c9e6ba7f8c5788d0bc90aadc85f88371ba261c07edf951805988f89a”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØK.>~È´hEJ6 hFˆubh)”}”(hŒr-aggregation”h#Œ1.0.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ,r-aggregation-1.0.1-r41hc72bb7e_1003.tar.bz2”h+Œ f8a237b4bdcae209512332546cdd09fc”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-aggregation-1.0.1-r41hc72bb7e_1003.tar.bz2”h0Œ@ba2c52f07377d3d723c5b7016fb2ccbc0c849211143c1c353d67244c1d7313ab”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ¯›?+hEMChFˆubh)”}”(hŒipymidicontrols”h#Œ0.1.3”h%Œpy_0”h'K hhh(h)hŒ"ipymidicontrols-0.1.3-py_0.tar.bz2”h+Œ 9614e2300d8271612cf77c7624eae5fd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ipymidicontrols-0.1.3-py_0.tar.bz2”h0Œ@6d9be46769534fdd405a63773536315a43988ecec66b3a7d41ed34785477ae0d”h2NhNh3Œipywidgets >=7”Œpython >=3.4”†”h9h?h@ŒBSD-3-clause”hBŒBSD”hDGA×J;ÇëçmhEM8!hFˆubh)”}”(hŒ
r-paintmap”h#Œ1.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-paintmap-1.0-r41hc72bb7e_2.tar.bz2”h+Œ 8e16bd640374e0c7d3f5eff5bcd2d19e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r41hc72bb7e_2.tar.bz2”h0Œ@37f060a61f3a7f5aa9613b11881dcf60c5d92087531fd39e5c4d45179523cc41”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+â™‰7hEM
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Python-2.0”hDGAØÇxt¼hEM "hFˆubh)”}”(hŒthree.js”h#Œ122”h%Œ
hd8ed1ab_2”h'Khhh(h)hŒthree.js-122-hd8ed1ab_2.tar.bz2”h+Œ 05efe31688fd459bc74f2991a8cf128b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/three.js-122-hd8ed1ab_2.tar.bz2”h0Œ@3e44ac49a1228e68b4a4ecf25484ec45acbde1778ac7b4e461c918739043b933”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGAØ¼î]¸hEJÏO hFˆubh)”}”(hŒr-popgenreport”h#Œ3.0.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-popgenreport-3.0.7-r40hc72bb7e_0.tar.bz2”h+Œ 94f5903880d8f70748140fe5a3253eaa”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-popgenreport-3.0.7-r40hc72bb7e_0.tar.bz2”h0Œ@60525b05db347089ee6a70ad287859a1315064d26db1b9008ce29e7ea4c8b930”h2NhNh3(Œr-ade4”Œr-adegenet >=2.0.0”Œr-base >=4.0,<4.1.0a0”Œr-calibrate”Œr-dismo”Œr-gap”Œr-gdistance”Œ
r-genetics”Œr-ggally”Œ	r-ggplot2”Œr-knitr”Œ	r-lattice”Œr-mmod”Œr-pegas”Œr-plyr”Œ	r-r.utils”Œr-raster”Œ	r-reshape”Œr-rgdal”Œr-rgooglemaps”Œr-sp”Œr-vegan”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ¤ónù&éhEJ_" hFˆubh)”}”(hŒagate”h#Œ1.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ agate-1.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ df30dcb550fc75692377cc71672af4f2”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/agate-1.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@015cecf949cf5eee88c99b71df90c3e69153a0b299c77c817051a14fc1cba308”h2NhNh3(Œbabel >=2.0”Œfuture”Œisodate >=0.5.4”Œleather >=0.3.2”Œparsedatetime !=2.5,!=2.6,>=2.1”Œpyicu”Œpython >=3.6”Œpython-slugify >=1.2.1”Œpytimeparse >=1.1.5”Œsix >=1.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ<NMÇKÇhEMæàhFˆubh)”}”(hŒoddt”h#Œ0.7”h%Œpyh500f238_0”h'K hhh(h)hŒoddt-0.7-pyh500f238_0.tar.bz2”h+Œ 5415972cdf28236d5e9c69e2ae1a68f5”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/oddt-0.7-pyh500f238_0.tar.bz2”h0Œ@57ac4c5f0eed2db5c0dc593799194621f204c7532530a327eb5edd59184019cb”h2NhNh3(Œjoblib >=0.9.4”Œnumpy >=1.14.6,<2.0a0”Œopenbabel >=2.3.2”Œpandas >=0.19.2”Œpython”Œrdkit >=2017.09”Œscikit-image >=0.12.3”Œscikit-learn >=0.18”Œscipy >=0.17”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×›á?D›¦hEJÃÌ hFˆubh)”}”(hŒr-postlogic”h#Œ0.1.0.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-postlogic-0.1.0.1-r36h6115d3f_1.tar.bz2”h+Œ 355fe7c7039bc1e6fbfd1e661b0a7535”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-postlogic-0.1.0.1-r36h6115d3f_1.tar.bz2”h0Œ@9d53f37b56036784b69538630b0eacf867c149945b888ca92fd3a5f97301076b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯6ø[hEMßchFˆubh)”}”(hŒr-urlchecker”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-urlchecker-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 08b70d46a6fe388635585e84ae00b5c0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-urlchecker-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@b23ba2929ddf018db5759c01b243f262452a2d3e7e04b1d17041f71264f2e314”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-curl”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¶BNñ&éhEM/ÊhFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyhc268e32_3”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyhc268e32_3.tar.bz2”h+Œ cffa385b0f5bb2c65b9297b1b0aa3a33”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyhc268e32_3.tar.bz2”h0Œ@3601635a3d8fac415a92a1593ae1b5e5daedb437ee1bf8c810bfa61c11bdacc9”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¡DîC"ÑhEM
¯hFˆubh)”}”(hŒmesa-libgbm-cos7-ppc64le”h#Œ18.3.4”h%Œha826a6f_103”h'Kghhh(h)hŒ4mesa-libgbm-cos7-ppc64le-18.3.4-ha826a6f_103.tar.bz2”h+Œ 8cfae9f34e2ec4476f6a3695a9d76658”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-ppc64le-18.3.4-ha826a6f_103.tar.bz2”h0Œ@29c523533fbcba70d39c665c9972b60a29740ef1570535e76e23e62c81d32663”h2NhNh3Œ"libdrm-cos7-ppc64le >=2.4.83 *_103”Œ)mesa-libglapi-cos7-ppc64le ==18.3.4 *_103”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/úXƒhEM£ƒhFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-aarch64”h#Œ2018.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ=xorg-x11-proto-devel-cos7-aarch64-2018.4-h9b0a68f_105.tar.bz2”h+Œ daf626339a6bb58ae04106d9cfb1c307”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-aarch64-2018.4-h9b0a68f_105.tar.bz2”h0Œ@f06dce630eb5136dcc69d27c38514cf32cf2f3ebe53957835d59c8cb62be42e2”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@VÀ¦VhEJ: hFˆubh)”}”(hŒr-praise”h#Œ1.0.0”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ'r-praise-1.0.0-r36h6115d3f_1003.tar.bz2”h+Œ a0c7ec9664ddc37d30f14d962d33c409”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-praise-1.0.0-r36h6115d3f_1003.tar.bz2”h0Œ@758d095b22865bd05cc86417d617fb9348f681de1477fd7f3d182b82d6b4f3d7”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×[Ý/¡&éhEM¼[hFˆubh)”}”(hŒr-multigroup”h#Œ0.4.5”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-multigroup-0.4.5-r36h6115d3f_0.tar.bz2”h+Œ b0ac3c9835891040c76a1ae5a322e26e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multigroup-0.4.5-r36h6115d3f_0.tar.bz2”h0Œ@d57453861130394238a7bdbd006d415a0dce8bcd41ffcdaf2fac8b656b793d14”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯¾p¨1'hEJh hFˆubh)”}”(hŒr-ggrandomforests”h#Œ2.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ-r-ggrandomforests-2.2.1-r41hc72bb7e_1.tar.bz2”h+Œ 45e83bf0a255c7cef50893bafa607643”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-ggrandomforests-2.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@5db91752d0904700d4fe9a768fa05c1115235331a1df258377daa56db2a014a9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-randomforest”Œr-randomforestsrc >=1.5.5”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒó]OßhEJÖë hFˆubh)”}”(hŒlibxau-cos7-ppc64le”h#Œ1.0.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.libxau-cos7-ppc64le-1.0.8-hdf0574f_102.tar.bz2”h+Œ acf6f7ab9de61812d5e6e77f96c1b375”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-ppc64le-1.0.8-hdf0574f_102.tar.bz2”h0Œ@ee4ce00283b5b6f7da095cc3f3789141b6b63c1e307264f5d14a4050b31a3645”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶P/hEM ahFˆubh)”}”(hŒlibidl-devel-cos7-ppc64le”h#Œ0.8.14”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libidl-devel-cos7-ppc64le-0.8.14-h9d98e8f_104.tar.bz2”h+Œ 63e84e6407bcefa93ae4edcd7205ef1b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-ppc64le-0.8.14-h9d98e8f_104.tar.bz2”h0Œ@40599404d1d48845a2ffeba65a174ff82e324d17ec6c989ed5850ca830b4ff47”h2NhNh3Œ$glib2-devel-cos7-ppc64le >=2.0 *_104”Œ"libidl-cos7-ppc64le ==0.8.14 *_104”Œ"pkgconfig-cos7-ppc64le >=0.8 *_104”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É{Ð1'hEMñihFˆubh)”}”(hŒansible-bender”h#Œ0.8.1”h%Œpy_0”h'K hhh(h)hŒ!ansible-bender-0.8.1-py_0.tar.bz2”h+Œ 4bfa81578456f1c7d2f2aa29538428b2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ansible-bender-0.8.1-py_0.tar.bz2”h0Œ@9e79839db9e4e61873d13d96758680258ade882a6c73c02ec2a6ca3cbc4659ce”h2NhNh3(Œansible”Œ
jsonschema”Œpython >=3.6”Œpyyaml”Œtabulate”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¸M`BhEM~‡hFˆubh)”}”(hŒr-learnbayes”h#Œ2.15.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ,r-learnbayes-2.15.1-r40h6115d3f_1002.tar.bz2”h+Œ 4b5bdc6e0c08d8a8e329a8aa225d859d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-learnbayes-2.15.1-r40h6115d3f_1002.tar.bz2”h0Œ@fe9630051960ff82915d38b9b9d698a83465bbdf2beaecae3364b169b4f95a38”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«Îmg|îhEJ~Œ hFˆubh)”}”(hŒ	r-ggghost”h#Œ0.2.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-ggghost-0.2.1-r41hc72bb7e_2.tar.bz2”h+Œ a1947061b0dd9d8a2e78881be2c4e007”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggghost-0.2.1-r41hc72bb7e_2.tar.bz2”h0Œ@71bf48d02c62db85474ef9bf020d4d6ad2b9952945327bcda1adc8208d09148f”h2NhNh3Œr-animation”Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒwOfùÛhEM+ùhFˆubh)”}”(hŒr-domc”h#Œ1.3.8”h%Œr40ha770c72_0”h'K hhh(h)hŒ"r-domc-1.3.8-r40ha770c72_0.tar.bz2”h+Œ 5823375d76257dcb0bad045d184d0263”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-domc-1.3.8-r40ha770c72_0.tar.bz2”h0Œ@c8fc9074961c483d41089dd50651d1b2447899e075f5f97c002bd196f062e814”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ|ôõ`BhEJÍ hFˆubh)”}”(hŒconfluence-publisher”h#Œv1.2.1”h%Œpy_0”h'K hhh(h)hŒ(confluence-publisher-v1.2.1-py_0.tar.bz2”h+Œ 837f269722d635caebe0c132601004d4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/confluence-publisher-v1.2.1-py_0.tar.bz2”h0Œ@598602219254b40bbdf6e2734cd9d82823b1637c939653093f61f8cc8b05caff”h2NhNh3Œpython”Œpyyaml >=3.11”Œrequests >=2.4.3”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×‚QŠž§ðhEMºFhFˆubh)”}”(hŒlibpng-devel-cos7-ppc64le”h#Œ1.5.13”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libpng-devel-cos7-ppc64le-1.5.13-h9b0a68f_105.tar.bz2”h+Œ 4171d3c8cc654a59b8c158fe16671811”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-ppc64le-1.5.13-h9b0a68f_105.tar.bz2”h0Œ@14de89bbcba862650acdf0be5c4fc90a5ddd84809e6757df65457957ee6657cf”h2NhNh3Œ"libpng-cos7-ppc64le ==1.5.13 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGAØ@‰þdjhEJ¾Á hFˆubh)”}”(hŒdoc2dash”h#Œ2.3.0”h%Œpy_0”h'K hhh(h)hŒdoc2dash-2.3.0-py_0.tar.bz2”h+Œ 3933e1f9b645b6b2369b564d96ed92f0”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/doc2dash-2.3.0-py_0.tar.bz2”h0Œ@b7a40f276b9367fa6005f45b2204322ae18eefbbbff2474bb26bc590a7dd3451”h2NhNh3(Œattrs”Œbeautifulsoup4”Œclick”Œcolorama”Œpython”Œsix”Œsphinx”Œzope.interface”t”h9h?h@ŒMIT”hBŒMIT”hDGA×96{   hEMèfhFˆubh)”}”(hŒr-lcars”h#Œ0.3.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-lcars-0.3.7-r42hc72bb7e_1.tar.bz2”h+Œ c0445d1fc541dc41dfe87b6d0c2caa4a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lcars-0.3.7-r42hc72bb7e_1.tar.bz2”h0Œ@9b00dd2e82e63f490cf3bc1e4fc9bdfc343e9e757f65f3fe613aa8c843295220”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-shiny”Œr-trekcolors”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒZRMÓhEJ¶ï	 hFˆubh)”}”(hŒr-bucss”h#Œ1.2.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ#r-bucss-1.2.1-r41h785f33e_0.tar.bz2”h+Œ 47dc56a12889f6d4b3e076fa27d25b60”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bucss-1.2.1-r41h785f33e_0.tar.bz2”h0Œ@b8489a718b945a81c13b9839c9884784238d90c70594a8433ec1f69923892d2d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÄ‰Q¾‡+hEJˆh hFˆubh)”}”(hŒr-geem”h#Œ0.10.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ&r-geem-0.10.1-r40h6115d3f_1002.tar.bz2”h+Œ a82895dd5ef8f48eed1d70006522a99b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geem-0.10.1-r40h6115d3f_1002.tar.bz2”h0Œ@62afaedb5d2f54f2abf7e2fc4c5b03f245d92ce803872b0c9a423343d9bfcaf1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrix”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«ù@{hEJ6‚ hFˆubh)”}”(hŒjupyterlab-plugin-graph”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2jupyterlab-plugin-graph-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 15277dc8dcc389a06c527789af493d8c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/jupyterlab-plugin-graph-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@57d75de6b68066cca25fd47008433193a7d534e03acd3de4cba3174e5d5fa173”h2NhNh3Œjupyterlab ~=3.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØS_ÎÁÊÁhEJo hFˆubh)”}”(hŒelasticsearch”h#Œ7.10.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ)elasticsearch-7.10.1-pyhd3deb0d_0.tar.bz2”h+Œ 2b96337344c5e394b35a1a9e9d104f8e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/elasticsearch-7.10.1-pyhd3deb0d_0.tar.bz2”h0Œ@cf42bd1b38a2d23cf028d18ceceaf8b868e3b361abbd7d669dd8f839175fdbb0”h2NhNh3(Œcertifi”Œpython”Œrequests >=2.4.0,<3.0.0”Œurllib3 >=1.21.1,<2”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ôîœœ›¦hEJ›Ç hFˆubh)”}”(hŒ
schematics”h#Œ2.1.0”h%Œpy_0”h'K hhh(h)hŒschematics-2.1.0-py_0.tar.bz2”h+Œ 135a9e71b1ff7f81d6dd0c85c6526817”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/schematics-2.1.0-py_0.tar.bz2”h0Œ@a5710fb200ed616888dd425dcdb1e8708651b407d83fef84c486125674941ef0”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×KÕÈ+hEMšhFˆubh)”}”(hŒxrftomo”h#Œ1.0.1”h%Œpy_1”h'Khhh(h)hŒxrftomo-1.0.1-py_1.tar.bz2”h+Œ cddda453d64411e7f48ff84da2626e50”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/xrftomo-1.0.1-py_1.tar.bz2”h0Œ@a00a22b13b82a3b686504dcddd49f5e7de016a95d3273bd4d469fcb518e9b07b”h2NhNh3(Œdxchange”Œdxfile”Œh5py”Œmatplotlib-base”Œnumpy”Œpandas”Œpyqt >=5”Œ	pyqtgraph”Œ
python >=3”Œscikit-image”Œscipy”Œseaborn”Œ
setuptools”Œtomopy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¯úé|›¦hEJÅK hFˆubh)”}”(hŒimio”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒimio-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 1d39471f957866840652a4a0114b0ba0”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/imio-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@b38208e4420f2fb2b0fe82270bfc0f8b59475a9b15433f8b4236b56ee1eac261”h2NhNh3(Œimlib”Œnatsort”Œnibabel”Œnumpy”Œpsutil”Œpynrrd”Œpython >=3.7”Œscikit-image”Œslurmio >=0.0.5”Œtifffile”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸|‘G®hEMh0hFˆubh)”}”(hŒr-varhandle”h#Œ2.0.5”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-varhandle-2.0.5-r42hc72bb7e_2.tar.bz2”h+Œ 182a77de6046a37e4cb3b0cff9b0e77e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-varhandle-2.0.5-r42hc72bb7e_2.tar.bz2”h0Œ@8ff2d2da161fce422ee516fa9d8b4b4322eb0797db4927aebc725eb4629c521b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑÌU—ß;hEJµB hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy310h1234567_6”h'Khhh(h)hŒ*pyomniscidb-5.10.2-py310h1234567_6.tar.bz2”h+Œ 3a4fdc1d5449fc92cc3efa37128d3ddd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py310h1234567_6.tar.bz2”h0Œ@d523bab2532acb94f0f59297accacc866e51af13b2af75dab8def9f3cba29c08”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.16.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ“ê?
=hEJ( hFˆubh)”}”(hŒ
r-grplasso”h#Œ0.4_7”h%Œr41ha770c72_0”h'K hhh(h)hŒ&r-grplasso-0.4_7-r41ha770c72_0.tar.bz2”h+Œ 93ddbdccf52d97d63390f44bd5d8152b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-grplasso-0.4_7-r41ha770c72_0.tar.bz2”h0Œ@bd0318c5bc9801c2f7454e449ecc2f8084aa5526bc052db0bdd0fcd4d4680404”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAØ+L9XhEJZj hFˆubh)”}”(hŒr-showtextdb”h#Œ3.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-showtextdb-3.0-r41hc72bb7e_0.tar.bz2”h+Œ 28a43b93535e3f0e319a0179ef751665”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-showtextdb-3.0-r41hc72bb7e_0.tar.bz2”h0Œ@6b21ec00fe1bdddebaa763fe098ebefd7810aea1bd6345a10290812703758ed6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-sysfonts >=0.7.1”†”h9hºh@ŒApache (>= 2.0)”hBŒAPACHE”hDGAØ*ñ#»t¼hEJ=ú hFˆubh)”}”(hŒr-tsibbledata”h#Œ0.4.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-tsibbledata-0.4.1-r41hc72bb7e_1.tar.bz2”h+Œ 37d45ca2064981e48cb4ae2ed24f6328”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tsibbledata-0.4.1-r41hc72bb7e_1.tar.bz2”h0Œ@9fb98ce8e81adcf661dc0a570bc363a772eb3df822a8f50da39458d8680d296a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-rappdirs”Œr-tsibble >=0.9.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑöKß;dhEJ²o" hFˆubh)”}”(hŒgtkmm24-devel-cos7-ppc64le”h#Œ2.24.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ7gtkmm24-devel-cos7-ppc64le-2.24.5-ha826a6f_1103.tar.bz2”h+Œ 14e3d08618509d3230c6044ad8912fb5”h.Œehttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos7-ppc64le-2.24.5-ha826a6f_1103.tar.bz2”h0Œ@72167808dd43a9a263570717746e546382e32992c39d853f4a9510eb09350f7e”h2NhNh3Œ$gtkmm24-cos7-ppc64le ==2.24.5 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{ºÃ"ÑhEJŠ hFˆubh)”}”(hŒr-ggdark”h#Œ0.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-ggdark-0.2.1-r40hc72bb7e_0.tar.bz2”h+Œ db8c477605f2387e757d93692e1791a9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggdark-0.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@305561c11a8a770fee77e654735658504a6365a5d2aad7eeff2ec8ac2d124629”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=3.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ+À–	XhEJ¿¢ hFˆubh)”}”(hŒr-orcme”h#Œ2.0.2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ$r-orcme-2.0.2-r351h6115d3f_0.tar.bz2”h+Œ 8e8f90ae42defb3944b0e88c2ab321f8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-orcme-2.0.2-r351h6115d3f_0.tar.bz2”h0Œ@60576ef84fe8a6713db65cb7e8b471bdb18bf2cadfee581cb4407eae130a21a8”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-iso”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×‚Ë¾5?hEJŒB hFˆubh)”}”(hŒ
python-moa”h#Œ0.5.1”h%Œpy_0”h'K hhh(h)hŒpython-moa-0.5.1-py_0.tar.bz2”h+Œ f447048a1dda786d553613a880ac495b”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/python-moa-0.5.1-py_0.tar.bz2”h0Œ@4a80c32a1eb2ba2740fff69e82c08d828e2dbd01b4a558f6f9d78296b25e2039”h2NhNh3Œ
astunparse”Œgraphviz”Œpython >=3.5.*”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×-*|í‘hEM§^hFˆubh)”}”(hŒlibpng-cos7-ppc64le”h#Œ1.5.13”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libpng-cos7-ppc64le-1.5.13-h9d98e8f_104.tar.bz2”h+Œ c9f72ba096686bdba3391aa1a333c098”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libpng-cos7-ppc64le-1.5.13-h9d98e8f_104.tar.bz2”h0Œ@8292920977f21cf33c8d2629cebf6a6c649f9602144e03f81c7c35622f52d5e1”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGA×Éy­I%hEJü& hFˆubh)”}”(hŒr-assertive.numbers”h#Œ0.0_2”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ3r-assertive.numbers-0.0_2-r351h6115d3f_1001.tar.bz2”h+Œ f4452324c38b7fc8b688a4e0724e3a6a”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-assertive.numbers-0.0_2-r351h6115d3f_1001.tar.bz2”h0Œ@aeeb0fa727d97c26c63d2de5ba9a03530aee8d783dcb51e31a8376fc13e1bdeb”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.5.1,<3.5.2.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖüØPLÝ/hEJ`© hFˆubh)”}”(hŒpciutils-devel-cos7-ppc64le”h#Œ3.5.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6pciutils-devel-cos7-ppc64le-3.5.1-h9d98e8f_104.tar.bz2”h+Œ 6fcaba0a9dd395b2b960524dc6262423”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-ppc64le-3.5.1-h9d98e8f_104.tar.bz2”h0Œ@1dea21defa8b3357a5c62bedc50446b0d3a58447bd62c430374530739ddb27a3”h2NhNh3Œ#pciutils-cos7-ppc64le ==3.5.1 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×É|,pbhEMhyhFˆubh)”}”(hŒ
r-liqueuer”h#Œ0.0.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-liqueuer-0.0.1-r35h6115d3f_0.tar.bz2”h+Œ 567c62f3a7e0d43c44c3afeb4c1b4dc6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-liqueuer-0.0.1-r35h6115d3f_0.tar.bz2”h0Œ@50971296c17bb71b58388b46845533a680e6d4f3dbd8961ee7011709837cd338”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-itertools”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M¶EºÀƒhEJÂ™ hFˆubh)”}”(hŒr-r.huge”h#Œ0.9.0”h%Œ	r351_1001”h'Méhhh(h)hŒ r-r.huge-0.9.0-r351_1001.tar.bz2”h+Œ 3b7c18892f5767bb24d06fd4ed64bf52”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-r.huge-0.9.0-r351_1001.tar.bz2”h0Œ@69877e36de9863220bb2a8bcd81565b80ea5dd1ce009edd93247855742832bc3”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-r.methodss3 >=1.7.0”Œr-r.oo >=1.18.0”Œr-r.utils >=1.34.0”t”h9hºh@ŒLGPL (>= 2.1)”hBŒLGPL”hDGAÖüîË»"ÑhEJnU hFˆubh)”}”(hŒ
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r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGA×«ÜsÓ•hEJk% hFˆubh)”}”(hŒr-splitstackshape”h#Œ1.4.8”h%Œr35h6115d3f_1”h'Khhh(h)hŒ-r-splitstackshape-1.4.8-r35h6115d3f_1.tar.bz2”h+Œ e30cabbef09f026f66e12d14e4f7bcc4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-splitstackshape-1.4.8-r35h6115d3f_1.tar.bz2”h0Œ@4bab6429cb82f77015cab471c3d090bba768bbffc6dee4d0d99ac524aed8bb38”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-data.table >=1.9.4”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¢F$ÝhEJÒ# hFˆubh)”}”(hŒpymc3”h#Œ3.9.3”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ pymc3-3.9.3-pyhd8ed1ab_2.tar.bz2”h+Œ 87a5e00015119becd82c29a4eb893428”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pymc3-3.9.3-pyhd8ed1ab_2.tar.bz2”h0Œ@ee4ec05226fc134402ec0669b14629d1c80b39999cde84798a3c34b715b2476d”h2NhNh3(Œarviz >=0.9.0,<0.11.2”Œcontextvars”Œdataclasses”Œfastprogress >=0.2.0”Œh5py >=2.7.0”Œnumpy >=1.13.0”Œpandas >=0.18.0”Œpatsy >=0.5.1”Œpython >=3.6.1”Œscipy >=0.18.1”Œtheano >=1.0.5”Œtqdm >=4.8.4”Œtyping-extensions >=3.7.4.3,<4”t”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØÕåEl‹DhEJ4 hFˆubh)”}”(hŒmesa-dri-drivers-cos6-x86_64”h#Œ11.0.7”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ9mesa-dri-drivers-cos6-x86_64-11.0.7-h9b0a68f_1105.tar.bz2”h+Œ d4dca243709fbad3e94efa457ad3181f”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos6-x86_64-11.0.7-h9b0a68f_1105.tar.bz2”h0Œ@cf64c767ff7c6936ccde3d29aa595b96262f37c64ae868740c4f27fd24903cf5”h2NhNh3Œ+mesa-dri1-drivers-cos6-x86_64 >=7.11 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Zu¥ÒòhEJß~JhFˆubh)”}”(hŒfontconfig-devel-cos7-aarch64”h#Œ2.13.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:fontconfig-devel-cos7-aarch64-2.13.0-h9d98e8f_1104.tar.bz2”h+Œ ce21638fe35448e009b3d95f4341a084”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos7-aarch64-2.13.0-h9d98e8f_1104.tar.bz2”h0Œ@5fdcd93f2e893499d92123e6f6362a406388d06e0aafc752b074028d2b231aa5”h2NhNh3Œ'fontconfig-cos7-aarch64 ==2.13.0 *_1104”Œ(freetype-devel-cos7-aarch64 >=2.8 *_1104”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×É¦í‘hhEJ‰ hFˆubh)”}”(hŒansys-api-mapdl-v0”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-ansys-api-mapdl-v0-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ cd46141e183c943f7779604455a18b84”h.Œ[https://conda.anaconda.org/conda-forge/noarch/ansys-api-mapdl-v0-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3fe9fecbc01bca72a7524db07b6fa29d356decebe5d37969881a2381da94bec9”h2NhNh3(Œgoogle-api-python-client”Œgrpcio”Œprotobuf”Œpython >=3.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØv|ƒÖ5?hEM @hFˆubh)”}”(hŒ
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r-magrittr”Œ	r-pbapply”Œr-rcppeigen”Œr-rcurl”Œr-signal”Œr-transformer”Œr-verification”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢6n”jhEJ/?qhFˆubh)”}”(hŒr-verification”h#Œ1.42”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ,r-verification-1.42-r40hc72bb7e_1002.tar.bz2”h+Œ aa4f1a9d4e7e7b9dd5ceeb2c19d5adac”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-verification-1.42-r40hc72bb7e_1002.tar.bz2”h0Œ@dd5a4b35090c41d670f68add9644af9a2cf981e67b0219bff95a5a19fef4ffed”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-circstats”Œr-dtw”Œr-fields”Œr-mass”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+Ò4Ê-hEJ£ hFˆubh)”}”(hŒ	r-pastecs”h#Œ1.3.21”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ&r-pastecs-1.3.21-r42hc72bb7e_3.tar.bz2”h+Œ 8ff0c750a719dd783d8b8ac064e37351”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pastecs-1.3.21-r42hc72bb7e_3.tar.bz2”h0Œ@abb9e47b2a505645f83e548115c80597d3ea408211f8ee0945fba2577fcf12ca”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ=ìí‘hhEJPŸ hFˆubh)”}”(hŒdataclasses”h#Œ0.8”h%Œpyhc8e2a94_1”h'Khhh(h)hŒ$dataclasses-0.8-pyhc8e2a94_1.tar.bz2”h+Œ 28e0de0ecba81334619a777fdc00febc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dataclasses-0.8-pyhc8e2a94_1.tar.bz2”h0Œ@818f0738c6fa15ef789ab9e9f1e2a3feee8f675225f8bfa49819eefca915062e”h2NhNh3Œpython >=3.7”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ—s¥ÒòhEM¦hFˆubh)”}”(hŒbpemb”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ bpemb-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ c0ea95eab64832da30b2b87072580322”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/bpemb-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@f12de229cdb0178b5953db6d52bb62ca91296fb72557bcc654f768d623ada518”h2NhNh3(Œgensim”Œnumpy”Œ
python >=3”Œrequests”Œsentencepiece”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ</-p¤hEMçShFˆubh)”}”(hŒxlutils”h#Œ2.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"xlutils-2.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ 05c78b17d1e484464a3c289eabace796”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/xlutils-2.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@b412461f673591f1bc318bc1f3beace8ff0379873a702f62a54d70bd0f781dcd”h2NhNh3Œpython”Œxlrd >=0.7.2”Œxlwt >=0.7.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×¡j=]`BhEMxhFˆubh)”}”(hŒr-tabulizerjars”h#Œ1.0.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-tabulizerjars-1.0.1-r36h6115d3f_1.tar.bz2”h+Œ 12560d9bf6a28d50f7c5ca8fe0cee46e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizerjars-1.0.1-r36h6115d3f_1.tar.bz2”h0Œ@7f9730ef1ecc37a9f9007a34f48143c4c399538eee6e6b7d4ae5ab3ac44c413c”h2NhNh3Œr-base 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>=4.1,<4.2.0a0”Œ	r-cowplot”Œr-ergm >=3.10.1”Œr-ggally”Œ	r-ggplot2”Œ	r-lpsolve”Œr-matrix”Œr-network >=1.15”Œr-plyr”Œ
r-reshape2”Œr-sna >=2.4”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØYy9XhEJNÙ hFˆubh)”}”(hŒr-photobiology”h#Œ0.10.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ+r-photobiology-0.10.2-r36h6115d3f_0.tar.bz2”h+Œ aded96e0a70bd63a0811c0e881a3686d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-photobiology-0.10.2-r36h6115d3f_0.tar.bz2”h0Œ@b1f144fa952e5488c4a322fc1fa1a5d875eb4cb8bb4a02b7d21505d5aae57f1b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr >=0.8.1”Œr-lubridate >=1.7.4”Œr-plyr >=1.8.4”Œr-polynom >=1.4_0”Œr-rlang >=0.4.5”Œr-splus2r >=1.2_2”Œr-stringr >=1.4.0”Œr-tibble >=2.0.1”Œr-zoo >=1.8_7”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×©¿„z~úhEJ“Ã# hFˆubh)”}”(hŒcmake-build-extension”h#Œ0.5.1”h%Œpyh8b0aa59_0”h'K hhh(h)hŒ0cmake-build-extension-0.5.1-pyh8b0aa59_0.tar.bz2”h+Œ 92507387b30ac6ba5fae0d90677e061d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/cmake-build-extension-0.5.1-pyh8b0aa59_0.tar.bz2”h0Œ@7ba0c71ba128b0993500e5fe877f99fde7c27a8689ab45d2866d4e510f3af45b”h2NhNh3(Œcmake”Œ	gitpython”Œninja”Œpython >=3.7”Œsetuptools-scm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥Þ«¿¾whEM«hFˆubh)”}”(hŒwoops”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒwoops-0.2.1-py_0.tar.bz2”h+Œ ba8c068ea7bdf5d5b6f8388edda77de6”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/woops-0.2.1-py_0.tar.bz2”h0Œ@c282b640ae1bb78c848450e72f3a0fe52c4b8347557162e3b54b14e6834ce636”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Ÿ{Ä„“hEM+hFˆubh)”}”(hŒlibtiff-cos7-aarch64”h#Œ4.0.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/libtiff-cos7-aarch64-4.0.3-hdf0574f_102.tar.bz2”h+Œ a18c5957b5599a2c4af366ab3ffb300c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-aarch64-4.0.3-hdf0574f_102.tar.bz2”h0Œ@ebfa4eba26337cd1ebeca3fcbc25ac075ec659a8e678a0933d89d671b5a45780”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œlibtiff”hBŒOther”hDGA×Åi6§ðhEJ7½ hFˆubh)”}”(hŒr-shinyloadtest”h#Œ1.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-shinyloadtest-1.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 5928e696539875288bfcccc47f47fa33”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-shinyloadtest-1.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@f1c4e20ae111a12ae9bae0997c65a3d0c4a53381a6241fa86c3ef867fc43cc04”h2NhNh3(Œpandoc >=2.2”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-dplyr >=1.0.0”Œ	r-ggplot2”Œr-httpuv >=1.5.2”Œ
r-jsonlite”Œ
r-magrittr”Œr-r6”Œr-rlang >=0.1.2”Œr-scales”Œ	r-stringr”Œ	r-svglite”Œr-vroom”Œr-websocket >=1.0.0”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒa…?}hEJh%	 hFˆubh)”}”(hŒ
r-ic.infer”h#Œ1.1_6”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ)r-ic.infer-1.1_6-r41hc72bb7e_1003.tar.bz2”h+Œ c477daaf7dbec5ecb9531dc4d8b7a543”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ic.infer-1.1_6-r41hc72bb7e_1003.tar.bz2”h0Œ@c67b549193b3295ec238450e6c5727eb06f5c3b5e70983c5c61f8f154dbfc00d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œ
r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒawÇKÇhEJ¬· hFˆubh)”}”(hŒpytdc”h#Œ0.3.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pytdc-0.3.8-pyhd8ed1ab_0.tar.bz2”h+Œ 9345dce79e8af015a631371c3f11ad14”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pytdc-0.3.8-pyhd8ed1ab_0.tar.bz2”h0Œ@ef3b20532e5fe7e526dc27e9381424fa8598d642ee9a2808f387bab1223839a1”h2NhNh3(Œ
fuzzywuzzy”Œnetworkx”Œnumpy”Œpandas >=1.1.4”Œpython >=3.6”Œrdkit >=2020.03.6”Œrequests”Œscikit-learn >=0.21.3”Œscipy”Œseaborn”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÙ?»w
=hEJ|Ž hFˆubh)”}”(hŒlibxt-devel-cos7-ppc64le”h#Œ1.1.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4libxt-devel-cos7-ppc64le-1.1.5-hdf0574f_1102.tar.bz2”h+Œ bd3392813840ab874382d390c206de6b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-ppc64le-1.1.5-hdf0574f_1102.tar.bz2”h0Œ@66813ba834fae233cc1a6a5eb867e8db9b10bb35892554b1195f926559703048”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´û‚Ÿ¾hEJÿ	 hFˆubh)”}”(hŒr-shinyheatmaply”h#Œ0.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-shinyheatmaply-0.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 698bdae0907176f0cea6bf43faea9a29”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinyheatmaply-0.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@9a282a0125a2f13ebe2c6a69cf7a7ce9faf0894b0f2726bd06170b61a954d19a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-heatmaply >=1.0.0”Œr-htmltools”Œr-plotly”Œr-readxl”Œr-rmarkdown”Œr-shiny”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØa«¨"^5hEJ3! hFˆubh)”}”(hŒseamm-widgets”h#Œ
2022.10.28”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-seamm-widgets-2022.10.28-pyhd8ed1ab_0.tar.bz2”h+Œ 3d7f135b2879997b77305f67481aeb2c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/seamm-widgets-2022.10.28-pyhd8ed1ab_0.tar.bz2”h0Œ@7590547be186bc4156d19d4046202e58af93db064f78908f5694c97a12556e03”h2NhNh3(Œpillow”Œpmw”Œpython >=3.8”Œrequests”Œ
seamm-util”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ×%OßhEM»žhFˆubh)”}”(hŒazure-common”h#Œ1.1.28”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(azure-common-1.1.28-pyhd8ed1ab_0.tar.bz2”h+Œ 36a0b7a0497cfdb87e62c809947dd81c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/azure-common-1.1.28-pyhd8ed1ab_0.tar.bz2”h0Œ@72d839dd1189f69605a39e82869e98f13a6556dfd8cf1552b34de21ccc735d42”h2NhNh3Œpython >=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ!‰7hEMŒ=hFˆubh)”}”(hŒlibnl3-devel-cos7-x86_64”h#Œ3.2.28”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libnl3-devel-cos7-x86_64-3.2.28-h9d98e8f_1104.tar.bz2”h+Œ 793ff53d3829ebb16aaf603f4ca6221a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos7-x86_64-3.2.28-h9d98e8f_1104.tar.bz2”h0Œ@927d8f0e2abe70b25618d419c9cf1381cfc7b9a0a607838c1ae405d92b5d988a”h2NhNh3Œ&libnl3-cli-cos7-x86_64 ==3.2.28 *_1104”Œ"libnl3-cos7-x86_64 ==3.2.28 *_1104”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É}„VE¢hEM´ßhFˆubh)”}”(hŒr-graphtweets”h#Œ0.5.3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-graphtweets-0.5.3-r40h6115d3f_1.tar.bz2”h+Œ ca52c1e4721bb3cf5bbdd4aefe36fe0c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-graphtweets-0.5.3-r40h6115d3f_1.tar.bz2”h0Œ@0844396ab254fde0b0f6615c31ed7556d63a7f3046ca5e71bcee3353388ac24e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
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r-magrittr”Œr-purrr”Œr-rlang”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬À«¸£×hEJÉÄ hFˆubh)”}”(hŒr-bazar”h#Œ1.0.11”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-bazar-1.0.11-r40h6115d3f_1.tar.bz2”h+Œ 7567ce0001c4547244a6ecb60cdeca20”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bazar-1.0.11-r40h6115d3f_1.tar.bz2”h0Œ@999be594d212e3c10b48cc0d2d77da79e0ca9d8f45ba48433a6834c6da503dda”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-kimisc”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«ü'áûçhEJ[ÿ hFˆubh)”}”(hŒ	r-gmodels”h#Œ2.18.1.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ(r-gmodels-2.18.1.1-r40ha770c72_0.tar.bz2”h+Œ eb0cf16b6b88c4833d4620f1ee4c9114”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gmodels-2.18.1.1-r40ha770c72_0.tar.bz2”h0Œ@d0211b1683ee23a970bc2cd62c2ff775c4f81b8ef9fbe7e755d12cbfa1f01a58”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-gdata”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¡¡l‹C–hEJ±ð hFˆubh)”}”(hŒgtkmm24-cos6-x86_64”h#Œ2.18.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/gtkmm24-cos6-x86_64-2.18.2-h9b0a68f_105.tar.bz2”h+Œ 816b1a97edc3383110251ddab984f366”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos6-x86_64-2.18.2-h9b0a68f_105.tar.bz2”h0Œ@2cad67902db648354c0911f84eb537414d7d4e6ada6a3e81337d40a980df4709”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@V.XA‰hEJøN hFˆubh)”}”(hŒdatarobot-bp-workshop”h#Œ0.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0datarobot-bp-workshop-0.2.6-pyhd8ed1ab_0.tar.bz2”h+Œ 2ffd70522cf6ca9617c848344a51cda6”h.Œ^https://conda.anaconda.org/conda-forge/noarch/datarobot-bp-workshop-0.2.6-pyhd8ed1ab_0.tar.bz2”h0Œ@037eb03c724d3150fbdb0c5901172e0e6290add0734a166cdd3f21db1479f21c”h2NhNh3(Œdatarobot >=2.27.0,<4”Œnetworkx >=2.2”Œpandas <1.3.6,>=0.15”Œpython >=3.7”Œpython-graphviz >=0.16,<1”Œtyping-extensions 4.3.0”t”h9h?h@Œ LicenseRef-Modified-BSD-3-Clause”hDGAØÜœosçmhEMŽ“hFˆubh)”}”(hŒazure-mgmt-containerservice”h#Œ16.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7azure-mgmt-containerservice-16.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ c027bc2a8c7d3b3f94de317282bfe943”h.Œehttps://conda.anaconda.org/conda-forge/noarch/azure-mgmt-containerservice-16.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@12f3129a009b250294c33e790b20e736230c1169416ddce3d1a76d75614b5926”h2NhNh3(Œazure-common >=1.1,<2.0”Œazure-mgmt-core”Œmsrest >=0.5.0”Œmsrestazure >=0.4.32,<2.0.0”Œpython >3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ[Â™éyhEJÅ hFˆubh)”}”(hŒpylatte”h#Œ1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pylatte-1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 288de805beaa1f786ee0f585f720b43b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pylatte-1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5a53ef1a6a9dfc14a5fea6b675582016aa8c9409c80996821314d39bb7b2e20a”h2NhNh3(Œmysql-connector-python”Œply”Œpymongo”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØGÕ@¬hEMŒDhFˆubh)”}”(hŒ	sentinels”h#Œ1.0.0”h%Œpy_1”h'Khhh(h)hŒsentinels-1.0.0-py_1.tar.bz2”h+Œ b1e531273d250d72ad2601c0cfa65d7a”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sentinels-1.0.0-py_1.tar.bz2”h0Œ@10cf4385de961d6e778a9468c5f65930948c25548e0668799da0ff707b84ebe7”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖàÉ/­ÒòhEM¼hFˆubh)”}”(hŒtkf”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtkf-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 0de390c5b1e8640629893722c46c870e”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/tkf-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@be3c5e0eb2be7dd5cbc197f2ba117f31fc59916709d62a1e31ca2696bb527154”h2NhNh3(Œ	backstage”Œcyberpunk-theme <0.0.14”Œkurl”Œlitedao”Œlitemark”Œ
megawidget”Œprobed”Œpython >=3.5”Œshared”Œsubrun”Œ
suggestion”Œthreadom”Œtkstyle”Œtkutil”Œviewable”Œwinter-theme”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¹¦µÒòhEM·4hFˆubh)”}”(hŒmemory_profiler”h#Œ0.61.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8b45f9f2b2f7a98b0ec179c8991a4a9b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d1d11b26be1fd8dfe042586d03739f4fec6822ac38158bb7a06ae0d4c24b9f3e”h2NhNh3Œpsutil”Œpython >=3.5”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÝ&¦“hEMšhFˆubh)”}”(hŒ
omero-rois”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%omero-rois-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 06ad67a2a0feabc2de823c85a50c1de2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/omero-rois-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@088a2f2488d99911c227eb03cd7a7e3bcb7342cc69d67dcc9c5c299597683d26”h2NhNh3Œomero-py >=5.6.0”Œpython >=3.6”†”h9h?h@ŒGPL-2.0”hDGAØ‘¸VhEM„>hFˆubh)”}”(hŒr-radix”h#Œ0.6”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ!r-radix-0.6-r40hc72bb7e_2.tar.bz2”h+Œ 42ccdaef67134c6d147f926207883902”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-radix-0.6-r40hc72bb7e_2.tar.bz2”h0Œ@374ca304e345c3f719fd96d8f049741a6abb3808f6ad21d34b11718488264b6f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downloader”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œr-png”Œ
r-progress”Œr-rmarkdown >=1.10”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ,‘1º^hEJ-
 hFˆubh)”}”(hŒsphinxcontrib-websupport”h#Œ1.2.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ3sphinxcontrib-websupport-1.2.4-pyh9f0ad1d_0.tar.bz2”h+Œ 40d48f58bfad7077a757d831608a0ea4”h.Œahttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-websupport-1.2.4-pyh9f0ad1d_0.tar.bz2”h0Œ@7ddcdf18bc74019b8353cb16d4bae13cb6e988477a26a0d3ccf0163cf53c829b”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ÌK•bÐåhEM³ˆhFˆubh)”}”(hŒr-chemometricswithr”h#Œ0.1.13”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ0r-chemometricswithr-0.1.13-r40hc72bb7e_2.tar.bz2”h+Œ 1b0935e856b6eeefcef37a782b381fa3”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-chemometricswithr-0.1.13-r40hc72bb7e_2.tar.bz2”h0Œ@09cb5bd1ee646f57308a66da1472683f02d29d155f3edb22655694929be03381”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-devtools”Œ	r-kohonen”Œr-mass”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,¸@å`hEJƒk hFˆubh)”}”(hŒeditorconfig”h#Œ0.12.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(editorconfig-0.12.3-pyhd8ed1ab_0.tar.bz2”h+Œ 069ce68229fb0db4ff636c81a7ecb421”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/editorconfig-0.12.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0f6ad7767253d387e150e754fe6de94d6e6678fcea5da78883fc299395f3a3bb”h2NhNh3Œpython >=3.6”…”h9h?h@ŒCNRI-Python”hDGAØaèõÃhEM EhFˆubh)”}”(hŒlibjpeg-turbo-cos6-x86_64”h#Œ1.2.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libjpeg-turbo-cos6-x86_64-1.2.1-h9b0a68f_105.tar.bz2”h+Œ b6201fbc6644233e1ec6d2be0804e09f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos6-x86_64-1.2.1-h9b0a68f_105.tar.bz2”h0Œ@d63e41529c7712ca1d881ba0fcc8901913c96487b781b99311ecb49a894f3948”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@Œ	wxWidgets”hBŒOther”hDGAØ@VøW hEJð hFˆubh)”}”(hŒdraftjs_exporter”h#Œ2.1.7”h%Œpy_0”h'K hhh(h)hŒ#draftjs_exporter-2.1.7-py_0.tar.bz2”h+Œ 40eaf7e3d93497cff842bc5fed869188”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/draftjs_exporter-2.1.7-py_0.tar.bz2”h0Œ@9fa3278904043ef5a266a761030ba760490fc7b7200c29669560f39c0bcb945c”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×cbâ bNhEM OhFˆubh)”}”(hŒgoogletrans”h#Œ2.4.0”h%Œpy_1001”h'Méhhh(h)hŒ!googletrans-2.4.0-py_1001.tar.bz2”h+Œ 3a0dca9b2f12944bd3cb7c703efb8404”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/googletrans-2.4.0-py_1001.tar.bz2”h0Œ@92c36719b105cf4f2203c8f8d921229ee855762ddd73a4313e3c5095eda714de”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGA×qu“êMÓhEMBhFˆubh)”}”(hŒpython-qinlingclient”h#Œ5.1.1”h%Œpy_0”h'K hhh(h)hŒ'python-qinlingclient-5.1.1-py_0.tar.bz2”h+Œ e56b03dbba84c5cada5bb6ac0707d082”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/python-qinlingclient-5.1.1-py_0.tar.bz2”h0Œ@1c11e5533d3357658e616fe7e5a278da7c6fbfe28361d7b0bcdc655d9c0119d7”h2NhNh3(Œbabel >=2.3.4,!=2.4.0”Œiso8601 >=0.1.11”Œosc-lib >=1.8.0”Œoslo.i18n >=3.15.3”Œoslo.log >=3.36.0”Œ$oslo.serialization >=2.18.0,!=2.19.1”Œoslo.utils >=3.33.0”Œpbr !=2.1.0,>=2.0.0”Œprettytable >=0.7.2”Œpython >=3.6”Œpython-keystoneclient >=3.8.0”Œpython-openstackclient >=3.12.0”Œpyyaml >=3.13”Œrequests >=2.14.2”Œsix >=1.10.0”t”h9h?h@Œ
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python >=3”Œsix >=1.10.0”Œtensorflow-base >=2.6,<2.7”Œjax >=0.2.20,<0.3.0”t”h9h?h@Œ
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GPL (>= 3)”hBŒGPL3”hDGA×KþÌß+hEJÖª hFˆubh)”}”(hŒr-rstudioapi”h#Œ0.14”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-rstudioapi-0.14-r41hc72bb7e_1.tar.bz2”h+Œ 3a6725acc73d5a6c3b7d9dd3131b58d8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rstudioapi-0.14-r41hc72bb7e_1.tar.bz2”h0Œ@35f88672c6e900f6f7f8a8b0c22f10e014bc097724521872b183b9254c31a97e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ5’:=qhEJž³ hFˆubh)”}”(hŒr-worrms”h#Œ0.4.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-worrms-0.4.2-r36h6115d3f_0.tar.bz2”h+Œ b1f58058b5847f3ce3db4cd6781a94a0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-worrms-0.4.2-r36h6115d3f_0.tar.bz2”h0Œ@5a339e07a7561e2973bfccb631d3977ebacef87ce0f52b30976f02494e23d262”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crul >=0.6.0”Œr-data.table”Œr-jsonlite >=1.1”Œr-tibble >=1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Á\±  hEJ¨ hFˆubh)”}”(hŒlibdrm-devel-cos7-x86_64”h#Œ2.4.97”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libdrm-devel-cos7-x86_64-2.4.97-ha826a6f_1103.tar.bz2”h+Œ 1c801b284f6029c3aeddff2f51990f2e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-x86_64-2.4.97-ha826a6f_1103.tar.bz2”h0Œ@2d0bc91c80d8faf7c5a2b10bc082bc4ca5ce1cda297cff4d5655d5f5b3b3cde2”h2NhNh3Œ*kernel-headers-cos7-x86_64 >=2.6.27 *_1103”Œ"libdrm-cos7-x86_64 ==2.4.97 *_1103”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0¼5p¤hEJÀ hFˆubh)”}”(hŒ	rb-gemoji”h#Œ3.0.1”h%Œ
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jupyter-fs”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%jupyter-fs-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 293153d4db8d2ff67b28268dee22dc51”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jupyter-fs-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@37e38c8c88f1b47c54baf172afa1cff8e4d2765847c27e10a364d28a19265045”h2NhNh3(Œfs >=2.4.11”Œfs-s3fs >=1.1.1”Œjupyterlab >=2.0.0”Œnotebook >=5.7.0”Œpython >=3.7”t”h9h?h@Œ
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rich-click”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÍÂ TýôhEMŠhhFˆubh)”}”(hŒrb-jekyll-redirect-from”h#Œ0.14.0”h%Œ
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r-gitcreds”h#Œ0.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-gitcreds-0.1.2-r42hc72bb7e_1.tar.bz2”h+Œ b7ea8c1ab89aae5d77a30b78f74d394c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gitcreds-0.1.2-r42hc72bb7e_1.tar.bz2”h0Œ@9413dcfd3f5e5f1285c6c073b0172f4521c78abe08d0329c652facbaff6d2087”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐAÆÚŸ¾hEJ¡ hFˆubh)”}”(hŒr-leaflet.providers”h#Œ1.9.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ/r-leaflet.providers-1.9.0-r41hc72bb7e_2.tar.bz2”h+Œ 216a3a1abe96a8393f9c6605f50bf636”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-leaflet.providers-1.9.0-r41hc72bb7e_2.tar.bz2”h0Œ@97834be57294a23acbe6f07574cd4a230d4ab20d586a0324cbe2e85757218f49”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGAØÐ}ÕÞ§ðhEM¼ÝhFˆubh)”}”(hŒmp_time_split”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(mp_time_split-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 19f2760c81d7684a7960affa30d83d5f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/mp_time_split-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5ac3b9e1ed60cdb089fcb95f53b4e914861daa53b7e8fce04e61b385726e3874”h2NhNh3(Œimportlib-metadata”Œmatminer”Œpybtex”Œpymatgen”Œpython >=3.6”Œscikit-learn”Œtyping-extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ»T×ù‰7hEM¢¨hFˆubh)”}”(hŒnspr-cos6-x86_64”h#Œ4.19.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ,nspr-cos6-x86_64-4.19.0-h9b0a68f_105.tar.bz2”h+Œ a84b46fab53a0bad42ab2c0acbff74f2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nspr-cos6-x86_64-4.19.0-h9b0a68f_105.tar.bz2”h0Œ@f6061fee3cf32c9532d5f9b0f3b527f4026d914ce5db9e3a29158741b5058efd”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@VÓâ-hEJØú hFˆubh)”}”(hŒlibsepol-devel-cos7-x86_64”h#Œ2.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libsepol-devel-cos7-x86_64-2.5-h9b0a68f_1105.tar.bz2”h+Œ f75dbbf7f9f154edb1052427fd8bb608”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-x86_64-2.5-h9b0a68f_1105.tar.bz2”h0Œ@8cf0d437b29a6d6aed961472af53532f659590b36bd956b05aaac1d7d78ab79a”h2NhNh3Œ!libsepol-cos7-x86_64 ==2.5 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@mMÄœhEM“¯hFˆubh)”}”(hŒpixman-cos6-x86_64”h#Œ0.32.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.pixman-cos6-x86_64-0.32.8-hdf0574f_102.tar.bz2”h+Œ 714ccd8f4c9b06f8c83f9d874bc848d7”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pixman-cos6-x86_64-0.32.8-hdf0574f_102.tar.bz2”h0Œ@6b12b74edd90df4cb9ae254ee0cc43d4521c6fcaccf05428851bb549c119fe55”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;‚ðbNhEJ¬& hFˆubh)”}”(hŒr-ffield”h#Œ0.1.0”h%Œ	r351_1001”h'Méhhh(h)hŒ r-ffield-0.1.0-r351_1001.tar.bz2”h+Œ ae2f8e033074821dacf363a6c12a3a75”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ffield-0.1.0-r351_1001.tar.bz2”h0Œ@3c61066250f5348550ef428ee2ebd96eb3de606af0d91adc323af5178e3521a5”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-ggplot2”Œr-gridextra”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖþAxÄœhEMç…hFˆubh)”}”(hŒr-metarnaseq”h#Œ1.0.7”h%Œr41ha770c72_1”h'Khhh(h)hŒ(r-metarnaseq-1.0.7-r41ha770c72_1.tar.bz2”h+Œ 582447b3ee9ce83c043db532377a3b17”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-metarnaseq-1.0.7-r41ha770c72_1.tar.bz2”h0Œ@3f1361b45f7329c048d45ec9955a6024fd3461ba4f10ab0155eefba16b311257”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒRÚ²-hEJÏý hFˆubh)”}”(hŒ	r-jcolors”h#Œ0.0.4”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ%r-jcolors-0.0.4-r42hc72bb7e_3.tar.bz2”h+Œ 60ece204bc27c1a6e96292397997447c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-jcolors-0.0.4-r42hc72bb7e_3.tar.bz2”h0Œ@0898461d8c9bef6990457027dab92be013dc3ba27f5314548a553f0d8be8588a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-scales”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ†ÉhEJ¥ü
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GPL (>= 2)”hBŒGPL3”hDGA×¬:çŒ¬hEJ0š hFˆubh)”}”(hŒnp_utils”h#Œ0.5.12.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&np_utils-0.5.12.1-pyh9f0ad1d_0.tar.bz2”h+Œ 69476520f9e51066d3cfdcf38bdfee87”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/np_utils-0.5.12.1-pyh9f0ad1d_0.tar.bz2”h0Œ@f6d5da6d5903b8a5783a4c19b82acb11e21b27201e88ce64ff308f1558fcdc1d”h2NhNh3Œfuture >=0.16”Œnumpy >=1.0”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Ãtm¸hEMÇhFˆubh)”}”(hŒpyserial”h#Œ3.4”h%Œpy_2”h'Khhh(h)hŒpyserial-3.4-py_2.tar.bz2”h+Œ 4177c0b898552ba182a2677230f66a16”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pyserial-3.4-py_2.tar.bz2”h0Œ@8bffb3dbeff0a2d4d3d6ba2539ca674d6d355a3789d0b0c691fe7cb465b3274b”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖùo†bNhEMãôhFˆubh)”}”(hŒtyping”h#Œ3.10.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$typing-3.10.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ e6573ac68718f17b9d4f5c8eda3190f2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/typing-3.10.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ec1cfe0b7dc55a22223562cad799e0b16d122dab611c9923b6068d27a784ba2f”h2NhNh3Œ
python >=3”…”h9h?h@ŒPSF”hDGAØ#nã‘‡hEM€hFˆubh)”}”(hŒcopy-jdk-configs-cos7-aarch64”h#Œ3.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ7copy-jdk-configs-cos7-aarch64-3.3-hdf0574f_1102.tar.bz2”h+Œ 84cd6d619f08d49f42d90dab01777c6d”h.Œehttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-aarch64-3.3-hdf0574f_1102.tar.bz2”h0Œ@4ae49793b48081ab35ea2244b5fab19ab6957573a651bcaccc348e82a05c79ec”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ>y%hEMf#hFˆubh)”}”(hŒeulxml”h#Œ1.1.3”h%Œpy_1”h'Khhh(h)hŒeulxml-1.1.3-py_1.tar.bz2”h+Œ ccc5fe6058340fd04350a5c428f4199c”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/eulxml-1.1.3-py_1.tar.bz2”h0Œ@bd02d7226f3f215fd53ef272d516a224a5cb2feadfaf3fea4182eeaba8378c8b”h2NhNh3(Œ
lxml >=3.4”Œ	ply >=3.8”Œpython”Œ
setuptools”Œ
six >=1.10”t”h9h?h@Œ
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r-quadprog”Œ
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tensorflow”Œtorchvision >=0.8.1”Œtqdm >=4.41.0”Œwandb”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÕ|ê¡ËhEJÐûxhFˆubh)”}”(hŒr-fuzzyjoin”h#Œ0.1.6”h%Œr42ha770c72_1”h'Khhh(h)hŒ'r-fuzzyjoin-0.1.6-r42ha770c72_1.tar.bz2”h+Œ adfd0daf359e0c0b401342397d966d6c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fuzzyjoin-0.1.6-r42ha770c72_1.tar.bz2”h0Œ@f35ae41fc8ebeae11f9261d3a2c706fa4b7ac265d78e0286b7044804852dee54”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-geosphere”Œr-purrr”Œr-stringdist”Œ	r-stringr”Œr-tidyr >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒxqNVhEJ% hFˆubh)”}”(hŒr-ebimetagenomics”h#Œ0.6”h%Œr35h6115d3f_0”h'K hhh(h)hŒ+r-ebimetagenomics-0.6-r35h6115d3f_0.tar.bz2”h+Œ 5491cbabe07133a6ce036fc62b54ab76”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ebimetagenomics-0.6-r35h6115d3f_0.tar.bz2”h0Œ@8ace9f08b6c3b711aa20b947146f44b405d6a2d51f39e2c8f1d4f132d9740868”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-breakaway”Œr-sads”Œr-vegan”t”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×d½Ôåp¤hEM/ÕhFˆubh)”}”(hŒr-pubmed.miner”h#Œ1.0.19”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-pubmed.miner-1.0.19-r40hc72bb7e_0.tar.bz2”h+Œ 231968d509732481e8d296fa997c26d8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-pubmed.miner-1.0.19-r40hc72bb7e_0.tar.bz2”h0Œ@ff2ee06bc71ef1698a3fe922c77054eccb39d09819c626e68776de119ab7a441”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-r2html”Œr-rcurl”Œ	r-rjsonio”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØh~Œ`ÔþhEJÙ‚ hFˆubh)”}”(hŒr-stargazer”h#Œ5.2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-stargazer-5.2.3-r41hc72bb7e_1.tar.bz2”h+Œ f0e922d2ab2eaa150a4f75026557979c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-stargazer-5.2.3-r41hc72bb7e_1.tar.bz2”h0Œ@63e13f68a9b026c6a6bfba31e5c4192655ae8833e26e85551077f77f26c8ddf3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
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r-pheatmap”Œr-scatterplot3d”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ¢H©ûçhEJV hFˆubh)”}”(hŒ
r-paintmap”h#Œ1.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ$r-paintmap-1.0-r40hc72bb7e_2.tar.bz2”h+Œ 0e37392ccfbf2c30526adba7b89f163d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r40hc72bb7e_2.tar.bz2”h0Œ@845eac3e18420a8e7139b79ed4e0e8ae8d94a3e682ced56fbc7a682bcf275aff”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ ÃÆ¨hEM&ŒhFˆubh)”}”(hŒ
untokenize”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒuntokenize-0.1.1-py_0.tar.bz2”h+Œ 1447ead40f2a01733a9c8dfc32988375”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/untokenize-0.1.1-py_0.tar.bz2”h0Œ@38ac6f277f228e8b79a0707a85a86971e4c73dc6b4483c2286cfb413f0b62b58”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×˜UK•hEMÿhFˆubh)”}”(hŒ	r-mapedit”h#Œ0.6.0”h%Œr41h785f33e_2”h'Khhh(h)hŒ%r-mapedit-0.6.0-r41h785f33e_2.tar.bz2”h+Œ 91753ccc055efe4bdc59d4e1a984cc7d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mapedit-0.6.0-r41h785f33e_2.tar.bz2”h0Œ@2227bc56fa23c73f42a72a61557197a0a3df2daf267e7e5bf3d62a3a533770b6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-leaflet.extras >=1.0”Œr-leafpm”Œ	r-mapview”Œr-miniui”Œr-sf >=0.5_2”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓX£(öhEJüù hFˆubh)”}”(hŒfontconfig-cos7-aarch64”h#Œ2.13.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4fontconfig-cos7-aarch64-2.13.0-h9b0a68f_1105.tar.bz2”h+Œ 9949cd7af3a037e25387daf4f5bc94d4”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-cos7-aarch64-2.13.0-h9b0a68f_1105.tar.bz2”h0Œ@17ed4444e04f7be7be28344e43fc77d3cfef0bf34b2537ea11b8853bbb06810a”h2NhNh3Œ"freetype-cos7-aarch64 >=2.8 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGAØ@Œ’AÛ#hEJÜ× hFˆubh)”}”(hŒr-rapiclient”h#Œ0.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-rapiclient-0.1.3-r41hc72bb7e_1.tar.bz2”h+Œ 6b9450f96df3b1e3e7b69db7581b50e9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rapiclient-0.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@c47fb2cc9ada939d5efb4eed13c576489febd98a4258b32f1b45f3446b1df0d1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
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Apache-2.0”hBŒAPACHE”hDGAØy¢šÂñªhEJ› hFˆubh)”}”(hŒ	r-debugme”h#Œ1.1.0”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ(r-debugme-1.1.0-r42hc72bb7e_1004.tar.bz2”h+Œ fa79073f2ac3be63d8c571613da7ed52”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-debugme-1.1.0-r42hc72bb7e_1004.tar.bz2”h0Œ@4fa84c5010bc3e0e0ad24870101b731667e59ee1daccfcad7cd5ba8b77b2fd2d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-crayon”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ3JLIºhEJ3À hFˆubh)”}”(hŒfribidi-cos7-x86_64”h#Œ1.0.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/fribidi-cos7-x86_64-1.0.2-h9d98e8f_1104.tar.bz2”h+Œ fb8d2abe414e1d8fe99e7b967005e369”h.Œ]https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-x86_64-1.0.2-h9d98e8f_1104.tar.bz2”h0Œ@3d686a1062a92dd05956b26389799a6f63315924657ca1b6d69fe3a4d85aaca1”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGA×ÉzLD›¦hEJÛ1 hFˆubh)”}”(hŒfont-ttf-noto-emoji”h#Œ2.034”h%Œ
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Apache-2.0”hBŒApache”hDGAØ[ÙLÛçmhEJå hFˆubh)”}”(hŒmygeopackage”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'mygeopackage-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 74d2c03b9c6b7409a1b389b0d9bb2972”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/mygeopackage-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d3f4537de017c4c44a3942bdb149918a8b9dba32c5c095718532d497d2df77e7”h2NhNh3(Œfolium”Œipyfilechooser”Œ
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r-rvertnet”h#Œ0.8.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-rvertnet-0.8.2-r36hc72bb7e_0.tar.bz2”h+Œ abf9c9f84dbe16c113fb7f716960677a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rvertnet-0.8.2-r36hc72bb7e_0.tar.bz2”h0Œ@70a8b5922a34ae1cc3b1867d818d26e5aa64010c7b34351991cacf4bf386fb90”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crul >=0.5.2”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œr-jsonlite >=1.5”Œr-maps”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ'fåì‹DhEJný hFˆubh)”}”(hŒxoa”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxoa-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5c393edf00dac4ab9479bdcc5495204b”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/xoa-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@641368d452b81f5de8c526897916a7b2f5abeee8a1b3c1265e6f6e269f891450”h2NhNh3(Œappdirs”Œcmocean”Œ	configobj”Œgsw”Œnetcdf4”Œnumba”Œpython >=3.7”Œscipy”Œsetuptools >=40.4”Œxarray”t”h9h?h@Œ
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GPL (>= 3)”hBŒGPL3”hDGAØÑ?>t(öhEM««hFˆubh)”}”(hŒ
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Apache-2.0”hBŒAPACHE”hDGAØÛÖqÿïžhEMˆ-hFˆubh)”}”(hŒr-xmisc”h#Œ0.2.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ&r-xmisc-0.2.1-r42hc72bb7e_1003.tar.bz2”h+Œ cdfd3b5578f1b7e92e4d998f3e16638b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xmisc-0.2.1-r42hc72bb7e_1003.tar.bz2”h0Œ@c46944f3d5bdd590ccff63949ccad673a032d7fc64e27019c39ea03f4b9fd4b3”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
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r-jsonlite”Œr-plyr”Œ
r-progress”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œ
r-urltools”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØLÀ	Æ¸RhEJÒ• hFˆubh)”}”(hŒlvis”h#Œ0.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒlvis-0.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ 798bdf5ae06de2a338deadbf8213f196”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/lvis-0.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@6b57fd79095b1fed3e87490eeff86e10177f04f05978ca5a05b2faa72880b055”h2NhNh3(Œcycler >=0.10.0”Œcython >=0.29.12”Œkiwisolver >=1.1.0”Œmatplotlib-base”Œnumpy”Œopencv”Œpycocotools”Œpyparsing >=2.4.0”Œpython >=3.7”Œpython-dateutil >=2.8.0”Œsix”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¯{1Ø  hEMÝ@hFˆubh)”}”(hŒ
r-mapplots”h#Œ1.5.1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ)r-mapplots-1.5.1-r40hc72bb7e_1002.tar.bz2”h+Œ 10c5affc59f3ff0fbcb11e18b5ff91a2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mapplots-1.5.1-r40hc72bb7e_1002.tar.bz2”h0Œ@6c99788e7a7bbda2f6c84500067dd002bca0f7b36f18caea67c4541c39c21023”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+"¾&éhEJ,¾ hFˆubh)”}”(hŒligo-requests”h#Œ0.0.1”h%Œpy_0”h'K hhh(h)hŒ ligo-requests-0.0.1-py_0.tar.bz2”h+Œ 740d57398c16e3eb3c5ed350f6254947”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ligo-requests-0.0.1-py_0.tar.bz2”h0Œ@a83c954980735a1c5ec2e65375714f721a04a4c010db32a5af502f7939df7410”h2NhNh3(Œcryptography”Œligo-common”Œpython >=3.6”Œrequests”Œ
safe-netrc”Œsix”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGA×ƒÇôxÕhEM~[hFˆubh)”}”(hŒlibxrender-cos7-x86_64”h#Œ0.9.10”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libxrender-cos7-x86_64-0.9.10-hdf0574f_1102.tar.bz2”h+Œ 91bf26415ac34288b147abefa0c856e4”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxrender-cos7-x86_64-0.9.10-hdf0574f_1102.tar.bz2”h0Œ@016ea10075ff87b2a7ae3bce45064cd4a2ce8a234bae34d8680b5e1a1d65fed2”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´º«SøhEMû\hFˆubh)”}”(hŒr-filematrix”h#Œ1.3”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ*r-filematrix-1.3-r351h6115d3f_1000.tar.bz2”h+Œ e6bc8c435c7bfc057461329a0dd84642”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-filematrix-1.3-r351h6115d3f_1000.tar.bz2”h0Œ@6a8ad32f9b98f6acf9fc68839c8b2e3c683e89b1a7c63cee922ebd39cda27575”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×Ù—e¸hEJ; hFˆubh)”}”(hŒr-liftr”h#Œ0.9.2”h%Œr35_0”h'K hhh(h)hŒr-liftr-0.9.2-r35_0.tar.bz2”h+Œ 42778106c151e5f0fd80c9760c9ba975”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-liftr-0.9.2-r35_0.tar.bz2”h0Œ@2e137a074a1c51593bb12ec83744388f8512b4a216f9b98fd0927e613b293c52”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-knitr”Œr-rmarkdown”Œr-rstudioapi”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×BymÜ9XhEJq* hFˆubh)”}”(hŒscine-xtb-python”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+scine-xtb-python-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ b6a97ba2d0946e60547f9fb490290cd2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/scine-xtb-python-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@256dbc4319feaff294bf6d58949d611132804d2198f04ae65728798488034479”h2NhNh3Œpython >=3.6”Œscine-utilities-python”Œscine-xtb 1.0.2.*”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ½¹ ÐƒhEM'hFˆubh)”}”(hŒr-gridextra”h#Œ2.3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ(r-gridextra-2.3-r42hc72bb7e_1004.tar.bz2”h+Œ 492fd07a868354cb0557c13a3548d57c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gridextra-2.3-r42hc72bb7e_1004.tar.bz2”h0Œ@bdc33835ebed216c674b2e2145f1a0c4a3ca01c1dd8eff2576d93642db53f817”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-gtable”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐ;±NùÛhEJ Õ hFˆubh)”}”(hŒr-orcutt”h#Œ2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-orcutt-2.3-r41hc72bb7e_0.tar.bz2”h+Œ 05f0d7a8ea43a11f1ca59907ea30aa06”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-orcutt-2.3-r41hc72bb7e_0.tar.bz2”h0Œ@42238667251635615b98d5cb5ce5a6258c34db6e7fb0c11e2f3a23f1dad0276a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lmtest”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+„“hEM,ÈhFˆubh)”}”(hŒele”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒele-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ c2a1975b69cf28dc7b3d8bbfbadd071f”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/ele-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cce65a991b125276154870d492dcb698094654c739fec99793b37d22809d521a”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØsq‡hEM4hFˆubh)”}”(hŒ
r-ggmosaic”h#Œ0.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggmosaic-0.3.3-r41hc72bb7e_0.tar.bz2”h+Œ c1d9f5135279f1546ed671c1caf6c3ce”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggmosaic-0.3.3-r41hc72bb7e_0.tar.bz2”h0Œ@150d3374fc5050c947012c0e9c637a5f9e4fd71969077d4c51d132e25566322c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-ggplot2 >=3.3.0”Œ	r-ggrepel”Œr-plotly >=4.5.5”Œr-productplots”Œr-purrr”Œr-rlang”Œr-scales”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØwÍÒ-hEJdÍ hFˆubh)”}”(hŒcfanalytics”h#Œ0.1.4”h%j3G h'K hhh(h)hŒcfanalytics-0.1.4-0.tar.bz2”h+Œ e0a3763c4a1e54808ddbd463a7d77dec”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/cfanalytics-0.1.4-0.tar.bz2”h0Œ@ee650a72c2057e1634dd3f97375cd86b14ea5c10410458e8a0d1bd58fb7352ee”h2NhNh3(Œaiohttp”Œpandas”Œpython >=3.6”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEM°"hFˆubh)”}”(hŒat-spi-cos7-ppc64le”h#Œ1.32.0”h%Œha826a6f_103”h'Kghhh(h)hŒ/at-spi-cos7-ppc64le-1.32.0-ha826a6f_103.tar.bz2”h+Œ ce014fdbe7e8269daf187647d6dfc77d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-ppc64le-1.32.0-ha826a6f_103.tar.bz2”h0Œ@23c30cf4f6821dd53afee12a33969930223c320cd49f22900d900d24b7b02697”h2NhNh3(Œatk-cos7-ppc64le >=1.29.2 *_103”Œ gtk2-cos7-ppc64le >=2.10.0 *_103”Œ!gtk2-cos7-ppc64le >=2.24.31 *_103”Œ$libbonobo-cos7-ppc64le >=2.4.0 *_103”Œ!orbit2-cos7-ppc64le >=2.6.0 *_103”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2cB¬hEJ½Y hFˆubh)”}”(hŒ	r-reutils”h#Œ0.2.3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-reutils-0.2.3-r40h6115d3f_1.tar.bz2”h+Œ 9210511f8aa2349ef1040917a99e1362”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reutils-0.2.3-r40h6115d3f_1.tar.bz2”h0Œ@f6e18ff18c6cc1d6724a1b7b12331bee4a731ce4ac1ae6650115a05ce296f1d0”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œ
r-jsonlite”Œr-rcurl”Œr-tibble >=1.2”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGA×½›Á,“hEJU5 hFˆubh)”}”(hŒaltair_data_server”h#Œ0.4.1”h%Œpy_0”h'K hhh(h)hŒ%altair_data_server-0.4.1-py_0.tar.bz2”h+Œ 5412ec3d2792d3e2f18e075cb05ffdaf”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/altair_data_server-0.4.1-py_0.tar.bz2”h0Œ@f6ad77f888f6d9a9b42d58518f70ecc947935bea80019d56c08e9089510ea5c0”h2NhNh3(Œaltair”Œ
portpicker”Œpython >=3.6”Œtornado”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×…`hEMø3hFˆubh)”}”(hŒr-assertive”h#Œ0.3_6”h%Œr40h6115d3f_0”h'K hhh(h)hŒ'r-assertive-0.3_6-r40h6115d3f_0.tar.bz2”h+Œ fa7513ffce9e445688e90b327bbe560b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-assertive-0.3_6-r40h6115d3f_0.tar.bz2”h0Œ@b8dd707b9b62a2501e70fda875ee89e76daa60d6d49f2181173e14e34d1d6ab0”h2NhNh3(Œr-assertive.base >=0.0_4”Œr-assertive.code”Œr-assertive.data”Œr-assertive.data.uk”Œr-assertive.data.us”Œr-assertive.datetimes”Œr-assertive.files”Œr-assertive.matrices”Œr-assertive.models”Œr-assertive.numbers”Œr-assertive.properties >=0.0_2”Œr-assertive.reflection >=0.0_2”Œr-assertive.sets >=0.0_2”Œr-assertive.strings”Œr-assertive.types >=0.0_2”Œr-base >=4.0,<4.1.0a0”Œr-knitr”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×É5$"¬hEJ"i hFˆubh)”}”(hŒlibx11-devel-cos7-x86_64”h#Œ1.6.7”h%Œh1795305_1101”h'MMhhh(h)hŒ4libx11-devel-cos7-x86_64-1.6.7-h1795305_1101.tar.bz2”h+Œ 67f79c9e1547aa1c7e8f3e2c2a8de974”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-x86_64-1.6.7-h1795305_1101.tar.bz2”h0Œ@3ac96a0c754da9d0d467ad1febbfaa880315781e20d6f5ae5b1035e2d32351de”h2NhNh3Œlibx11-cos7-x86_64 1.6.7”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å”™%hEJ\= hFˆubh)”}”(hŒowslib”h#Œ0.25.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"owslib-0.25.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6d5a53edc972b472083fca4ab1a45f95”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/owslib-0.25.0-pyhd8ed1ab_0.tar.bz2”h0Œ@33aedc53188165219b6a32ca83f5f9950db2b5d4fd63b01cbb3f4d8a269c3ee5”h2NhNh3(Œ
pyproj >=2”Œpython >=3.6”Œpython-dateutil >=1.5”Œpytz”Œpyyaml”Œrequests >=1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØJiŸ®hEJC hFˆubh)”}”(hŒr-tarifx”h#Œ1.0.6.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-tarifx-1.0.6.2-r42hc72bb7e_2.tar.bz2”h+Œ 348abed7739be1e2a2a861859dba09ca”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tarifx-1.0.6.2-r42hc72bb7e_2.tar.bz2”h0Œ@f7ccaca3b5af8cb6aaadbc7328bec57c1da95c9a55985522159a7e025d66ca40”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-plyr”Œ
r-reshape2”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑý¼ÒñªhEJxŽ hFˆubh)”}”(hŒlibxau-cos7-x86_64”h#Œ1.0.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libxau-cos7-x86_64-1.0.8-h9d98e8f_1104.tar.bz2”h+Œ c22a955526144b1519a1e7b060507a00”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-x86_64-1.0.8-h9d98e8f_1104.tar.bz2”h0Œ@5c3c465f26b8b98bf9a2ff77165cb33f8a52c03de2e0898b816ba5d6e6a91d76”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Ézx‹DhEMÇahFˆubh)”}”(hŒ
pdfnofonts”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒpdfnofonts-1.1.0-py_0.tar.bz2”h+Œ 8c4aa536b1128f5869bb6ac7007f2791”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pdfnofonts-1.1.0-py_0.tar.bz2”h0Œ@05a14414babb2f4d1d6bf7fb2191d99e91e024994f2ccbe51b0905c17f87297e”h2NhNh3Œdocopt”Œghostscript”Œ
python >=3”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ŒXƒÊ^5hEMXhFˆubh)”}”(hŒr-graphtweets”h#Œ0.5.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-graphtweets-0.5.3-r36h6115d3f_0.tar.bz2”h+Œ 278c3af286597debf9e0b4fbb5e1c418”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-graphtweets-0.5.3-r36h6115d3f_0.tar.bz2”h0Œ@80a152cb6be89ba05569a28433a64a6c391a5b8ad989426a4c03a6b14eeed83b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-combinat”Œr-dplyr”Œr-igraph”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGA×…h«™XhEJÅ hFˆubh)”}”(hŒr-justifyalpha”h#Œ0.1.1”h%Œr41h785f33e_1”h'Khhh(h)hŒ*r-justifyalpha-0.1.1-r41h785f33e_1.tar.bz2”h+Œ 6c1a78776a89dd0acb95503b8521aaa0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-justifyalpha-0.1.1-r41h785f33e_1.tar.bz2”h0Œ@f3c4a41d063227e87916eabd9917fc1a9677954d3f1e425630cfae5654b9380b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayesfactor”Œ	r-ggplot2”Œr-pwr”Œr-qpdf”Œr-shiny”Œr-shinydashboard”Œ	r-stringr”Œr-superpower”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓy —l‹hEJŠØ hFˆubh)”}”(hŒsnowballstemmer”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*snowballstemmer-2.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4d22a9315e78c6827f806065957d566e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/snowballstemmer-2.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a0fd916633252d99efb6223b1050202841fa8d2d53dacca564b0ed77249d3228”h2NhNh3Œ
python >=2”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØe4˜X ÅhEMÈåhFˆubh)”}”(hŒplyer”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ plyer-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4f7038246d775093cccb1619e2b32b0b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/plyer-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@574702ea33b48b4bbafe1b42845ab867c50506b2d5802e913c986503451b4e18”h2NhNh3Œcython”Œpyjnius”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÛý‚— hEJŒh hFˆubh)”}”(hŒr-teamr”h#Œ0.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-teamr-0.0.1-r40hc72bb7e_0.tar.bz2”h+Œ b380147fe9f09204d006f374ba80e25e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-teamr-0.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@b9e4013d85f27e8cc7abf1b314cb94f21b069061bfcb7bf9e71a32145b64df24”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-httr”Œ
r-jsonlite”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ7.\“hEJ5 hFˆubh)”}”(hŒr-ratelimitr”h#Œ0.4.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-ratelimitr-0.4.1-r41hc72bb7e_1.tar.bz2”h+Œ 47a13d64256b7542a89470ec8c5bcae4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ratelimitr-0.4.1-r41hc72bb7e_1.tar.bz2”h0Œ@d48a79f292741fc417864890405d69a9ab8c182c086d9db8d5de6a480cddfbe5”h2NhNh3Œr-assertthat”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ·„þ—hEMAÃhFˆubh)”}”(hŒr-pcamixdata”h#Œ3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-pcamixdata-3.1-r41hc72bb7e_0.tar.bz2”h+Œ 23b22cf93f8bde8f629d2785c08113b0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pcamixdata-3.1-r41hc72bb7e_0.tar.bz2”h0Œ@01e3114882156e46078af0fbb8653639e207a388784b9351ddd852e09a38d144”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+JüÌÍhEJ; hFˆubh)”}”(hŒatomneb”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"atomneb-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3d66eaa07d924825d0b129ff52029054”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/atomneb-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c92157cf45b4ca8ed876ce65503d1efa5e78f60a92113a17f7a9f51a1f20bcde”h2NhNh3Œastropy >=4.0”Œnumpy >=1.17”Œpython >=3.8”‡”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ÷cß¾whEMóŒhFˆubh)”}”(hŒibacm-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-ibacm-cos7-aarch64-22.4-h9d98e8f_1104.tar.bz2”h+Œ a9c01ac4a71d82bfe992604b05f8e222”h.Œ[https://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-aarch64-22.4-h9d98e8f_1104.tar.bz2”h0Œ@8384933a12dea3cd70e459e094740ad92fa26d53fcab81458431b92767bfa6b5”h2NhNh3(Œ$libibumad-cos7-aarch64 ==22.4 *_1104”Œ%libibverbs-cos7-aarch64 ==22.4 *_1104”Œ$rdma-core-cos7-aarch64 ==22.4 *_1104”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É~±Â^5hEJ¹n hFˆubh)”}”(hŒoath”h#Œ1.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒoath-1.4.4-pyhd8ed1ab_0.tar.bz2”h+Œ 804ddc2fbd495ecab1ef7a0b23e35cbb”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/oath-1.4.4-pyhd8ed1ab_0.tar.bz2”h0Œ@2df0f29fdb308a92dde67705258259a6a479abb20f1ffa599c2f461112e7319e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØp<®È´hEM?=hFˆubh)”}”(hŒr-bstats”h#Œ0.0.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ$r-bstats-0.0.1-r40ha770c72_0.tar.bz2”h+Œ 8fa4ce93200e73495137a8c3d300c358”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bstats-0.0.1-r40ha770c72_0.tar.bz2”h0Œ@1e0acb5a9e36f21d1ef57404a76421b7e1bbc4e260de2e045a1360ccbbc52feb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
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r-magrittr”Œr-miniui”Œr-purrr >=0.3.2”Œr-rlang >=0.4.0”Œr-rmarkdown”Œr-rstudioapi”Œr-shiny”Œ	r-shinybs”Œ	r-stringr”Œr-usethis >=1.5.0”Œr-whoami”Œr-withr”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑÅˆöffhEJuÞ hFˆubh)”}”(hŒr-rbison”h#Œ1.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-rbison-1.0.0-r42hc72bb7e_1.tar.bz2”h+Œ 8ab9b872a9038a397088c95f5125c3bd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rbison-1.0.0-r42hc72bb7e_1.tar.bz2”h0Œ@a64a3101ed53aaf659d67b0d4ce3aa2cdd6e45546113c94ae42927f31a53f097”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.7.4”Œr-data.table”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œr-jsonlite >=1.1”Œ	r-mapproj”Œr-plyr”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ€ÛhEJt] hFˆubh)”}”(hŒr-gwidgetsrgtk2”h#Œ0.0_86.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ.r-gwidgetsrgtk2-0.0_86.1-r40hc72bb7e_0.tar.bz2”h+Œ 39fffe57b55597c99890c58db9ee2c79”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-gwidgetsrgtk2-0.0_86.1-r40hc72bb7e_0.tar.bz2”h0Œ@cc9b799e5e1ef4e9c01b668e433a1e5b78f68ba139944e0928841d85c32479b8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cairodevice”Œ
r-gwidgets”Œr-rgtk2”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,=¨¢~úhEJ‚‘ hFˆubh)”}”(hŒorbit2-devel-cos7-aarch64”h#Œ2.14.19”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6orbit2-devel-cos7-aarch64-2.14.19-h9d98e8f_104.tar.bz2”h+Œ b449d2f21236daea1630faae7ad2de3e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos7-aarch64-2.14.19-h9d98e8f_104.tar.bz2”h0Œ@9111e4eb93d79ffca2b256e6df99840ae1f203683debb23c3e707a10d93b9b8f”h2NhNh3Œ&glib2-devel-cos7-aarch64 >=2.2.0 *_104”Œ'libidl-devel-cos7-aarch64 >=0.8.2 *_104”Œ#orbit2-cos7-aarch64 ==2.14.19 *_104”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×É}…ë…hEJ˜ hFˆubh)”}”(hŒpysocks”h#Œ1.7.1”h%Œpyha2e5f31_6”h'Khhh(h)hŒ"pysocks-1.7.1-pyha2e5f31_6.tar.bz2”h+Œ 2a7de29fb590ca14b5243c4c812c8025”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2”h0Œ@a42f826e958a8d22e65b3394f437af7332610e43ee313393d1cf143f0a2d274b”h2NhNh3Œ__unix”Œpython >=3.8”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÂ…n‡+hEM%JhFˆubh)”}”(hŒ	multiping”h#Œ1.1.2”h%Œpy_0”h'K hhh(h)hŒmultiping-1.1.2-py_0.tar.bz2”h+Œ 2f8b267543a1ccdd97b9622cea65d297”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/multiping-1.1.2-py_0.tar.bz2”h0Œ@d218572fa25136e6d789b3d1e29014cbd1b812179209d7982ecccf49772e7da7”h2NhNh3Œpython”…”h9h?h@ŒAPACHE”hBŒAPACHE”hDGA×s¶?|îhEMW=hFˆubh)”}”(hŒtesspy”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!tesspy-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ ac49d449a6c0deab6313255e1bfce724”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/tesspy-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@5fc036414c81641c1abf380041b6a017d5ed044abd0a585fdf3f42da0571e840”h2NhNh3(Œgeopandas >=0.10.0”Œh3-py”Œhdbscan”Œ
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r-jsonlite”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+7¹xÕhEJ$ hFˆubh)”}”(hŒretry_decorator”h#Œ1.1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*retry_decorator-1.1.1-pyh9f0ad1d_0.tar.bz2”h+Œ 7f8f54e2c27342aad596ccf3c867085b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/retry_decorator-1.1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@02788bdc3d57868bfd82d02403d4175032f4bd73cde30169ed1662e1b4050284”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ªR:}OßhEMÙhFˆubh)”}”(hŒmusicbrainzngs”h#Œ0.7.1”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ)musicbrainzngs-0.7.1-pyhd8ed1ab_2.tar.bz2”h+Œ df53b93febeddc342f4f947d0994d28d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/musicbrainzngs-0.7.1-pyhd8ed1ab_2.tar.bz2”h0Œ@62c77cb8a5ebea1af0580d8e829e4fd29cecde39139acafbfc425f967dad23db”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-2-Clause AND MIT”hDGAØzZåbáHhEMyfhFˆubh)”}”(hŒfarmos”h#Œ1.0.0b1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#farmos-1.0.0b1-pyhd8ed1ab_0.tar.bz2”h+Œ 233c702125422420d8089a818ac39ea9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/farmos-1.0.0b1-pyhd8ed1ab_0.tar.bz2”h0Œ@8c77ff3fd17cacae4e1a5e13a10f10a491fce5804f605dff36783206d3494a98”h2NhNh3Œpydantic >=1.7.3”Œ
python >=3”Œrequests-oauthlib”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ'¥í2áHhEMAuhFˆubh)”}”(hŒdjango-organizations”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/django-organizations-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1fe3e56a26b0942774e668cdc5bb1d35”h.Œ]https://conda.anaconda.org/conda-forge/noarch/django-organizations-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@53607efd7468f1279dce1244f68f298c5d499b2c83905d8a1bd656da1e807a21”h2NhNh3Œdjango >=1.8.0”Œpython >=3.6”Œtyping >=3.6.4”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØS»NhEMF€hFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libdrm-devel-cos7-ppc64le-2.4.97-h9d98e8f_1104.tar.bz2”h+Œ 7b72f399221f6aac9edfb84d014230d2”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-ppc64le-2.4.97-h9d98e8f_1104.tar.bz2”h0Œ@8571f741466464169b095fe7e3ff6762ba8a28dd82fe46489ef2acf62c65d84b”h2NhNh3Œ+kernel-headers-cos7-ppc64le >=2.6.27 *_1104”Œ#libdrm-cos7-ppc64le ==2.4.97 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×É~ü¬hEJWõ hFˆubh)”}”(hŒsmdebug-rulesconfig”h#Œ1.0.1”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ.smdebug-rulesconfig-1.0.1-pyhd3deb0d_1.tar.bz2”h+Œ be253a7939a3e7cf95a043a983cab563”h.Œ\https://conda.anaconda.org/conda-forge/noarch/smdebug-rulesconfig-1.0.1-pyhd3deb0d_1.tar.bz2”h0Œ@ca32b6ba68e6e2c779d18d25c6536eefb3d21868bdfea7254678bf621ebb1d03”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ#1&éhEMOhFˆubh)”}”(hŒ	clingo-lp”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$clingo-lp-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ d4c1bfd5cc9605556c5c83b2609428e6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/clingo-lp-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6fbf195133c30b047de6cfbd66e870efd08a1f7a58d9a1abcc589c6e999d31a3”h2NhNh3Œclingo >=5.5.1”Œ	lpsolve55”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØfö¤ß;hEMMBhFˆubh)”}”(hŒ
threadloop”h#Œ1.0.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%threadloop-1.0.2-pyhd8ed1ab_1.tar.bz2”h+Œ ce611d0cc0f4143528fb5b10cec5969a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/threadloop-1.0.2-pyhd8ed1ab_1.tar.bz2”h0Œ@0485304516644062ab7cf02e75ff8f7f5010f760feacf55726677d11ae8d0a9e”h2NhNh3Œ
python >=3”Œtornado”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ô¯0Û#hEM†hFˆubh)”}”(hŒr-colorblindness”h#Œ0.1.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-colorblindness-0.1.9-r41hc72bb7e_0.tar.bz2”h+Œ a18e05f51f86927c78e72159a9ce9c80”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-colorblindness-0.1.9-r41hc72bb7e_0.tar.bz2”h0Œ@6da84ddbe7a11c364e364a59dc31478118fa757e0b122dee73166c035dc3c183”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colorspace”Œ	r-cowplot”Œ	r-ggplot2”Œr-gridgraphics”Œr-gtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØgÖpšÐåhEJ¾ø6 hFˆubh)”}”(hŒ%xcb-util-renderutil-devel-cos7-x86_64”h#Œ0.3.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒAxcb-util-renderutil-devel-cos7-x86_64-0.3.9-h9d98e8f_1104.tar.bz2”h+Œ f2a20e765da61ab34dee0d69abe4f9ff”h.Œohttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-devel-cos7-x86_64-0.3.9-h9d98e8f_1104.tar.bz2”h0Œ@e43b222669b90dd6fe280dc27a97ba80cd46f64f1beb21e2c16addce27106a76”h2NhNh3Œsysroot_linux-64 2.17.*”Œ.xcb-util-renderutil-cos7-x86_64 ==0.3.9 *_1104”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Óë¿²hEM»hFˆubh)”}”(hŒr-plasmidprofiler”h#Œ0.1.6”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ0r-plasmidprofiler-0.1.6-r41hc72bb7e_1002.tar.bz2”h+Œ 8606022611369252b8b9b52a11692c5b”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-plasmidprofiler-0.1.6-r41hc72bb7e_1002.tar.bz2”h0Œ@d23c7375a86991b17992eafb7ded07aadcc94ef095656ed991cc6fb08c55d62a”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-gdata”Œ
r-ggdendro”Œ	r-ggplot2”Œr-gridextra”Œr-gtable”Œr-htmlwidgets”Œ
r-magrittr”Œr-plotly”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”Œ	r-stringr”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ+µ÷I‡hEJ° hFˆubh)”}”(hŒ
thechopper”h#Œ0.1”h%Œpy_0”h'K hhh(h)hŒthechopper-0.1-py_0.tar.bz2”h+Œ 6a01e6a01aca26c02ad252f1b4e304c9”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/thechopper-0.1-py_0.tar.bz2”h0Œ@58891757079ad8dcde18ae5a2ae49bfcc746792b40a3a189139fcb629f804d7b”h2NhNh3Œnumpy”Œ
python >=3”Œscipy”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Œ!qƒohEM¾0hFˆubh)”}”(hŒ
r-sylly.en”h#Œ0.1_3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-sylly.en-0.1_3-r41hc72bb7e_2.tar.bz2”h+Œ d9499f8bd2b83428e7dcaef048fb2d72”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sylly.en-0.1_3-r41hc72bb7e_2.tar.bz2”h0Œ@4a6993bd273cf609cfa671682f71ed58f6ee6b55ffdd3746a7e196fa5179e8f7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-sylly”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ
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r-devtools”h#Œ2.4.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-devtools-2.4.5-r41hc72bb7e_1.tar.bz2”h+Œ 09d0781301f9f3ba95ba8cab128e5a88”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-devtools-2.4.5-r41hc72bb7e_1.tar.bz2”h0Œ@dd08fe97a66defe2d7ea6f639536f8f7bdd76e7e38f9bbd83e6da50750a4a22d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.3.0”Œr-desc >=1.4.1”Œr-ellipsis >=0.3.2”Œr-fs >=1.5.2”Œr-lifecycle >=1.0.1”Œr-memoise >=2.0.1”Œr-miniui >=0.1.1.1”Œr-pkgbuild >=1.3.1”Œr-pkgdown >=2.0.6”Œr-pkgload >=1.3.0”Œr-profvis >=0.3.7”Œr-rcmdcheck >=1.4.0”Œr-remotes >=2.4.2”Œr-rlang >=1.0.4”Œr-roxygen2 >=7.2.1”Œr-rversions >=2.1.1”Œr-sessioninfo >=1.2.2”Œr-testthat >=3.1.4”Œr-urlchecker >=1.0.1”Œr-usethis >=2.1.6”Œr-withr >=2.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ
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r-jsonlite”Œ
r-magrittr”Œr-readr”Œr-rlang”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ?Ü¯\)hEJ:= hFˆubh)”}”(hŒ
ucs-detect”h#Œ0.0.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%ucs-detect-0.0.4-pyh9f0ad1d_0.tar.bz2”h+Œ faf8263238dc3aba64cb357617da227f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ucs-detect-0.0.4-pyh9f0ad1d_0.tar.bz2”h0Œ@c5d4ffd3fc17316ea19d1109fd855a8c2afaab451bd8c1823d92d6bd1297843b”h2NhNh3Œblessed >=1.17.6,<2”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ÖŸÜ“hEMo"hFˆubh)”}”(hŒr-httpcache”h#Œ1.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-httpcache-1.2.0-r40hc72bb7e_0.tar.bz2”h+Œ f2526f06b75f2c7ba99b390c59ea6a4f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-httpcache-1.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@e12bc570f0bbfab5b1eed673ba614a956320cac0434e71cd56ccaf8ead99ae3f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-httr >=1.0.0”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×ÿoO\)hEJÐ hFˆubh)”}”(hŒr-ggpval”h#Œ0.2.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-ggpval-0.2.5-r40hc72bb7e_0.tar.bz2”h+Œ 53cacd7348e56ebe4784b10cc53f3488”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggpval-0.2.5-r40hc72bb7e_0.tar.bz2”h0Œ@9033c64949209bf280495fda3f646e065c2b8dfe5ffead50d23f1aae09855d8a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œ	r-ggplot2”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ³5¿D¬hEJæ hFˆubh)”}”(hŒr-sentimentr”h#Œ2.9.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-sentimentr-2.9.0-r41hc72bb7e_1.tar.bz2”h+Œ 5818936207e5bfbdb90474f2ddf7fe32”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sentimentr-2.9.0-r41hc72bb7e_1.tar.bz2”h0Œ@34034bc52cf5526ead84ff4a408eb1eea65d3c1e0e5b7879d47956d8c9908619”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”Œr-lexicon >=1.2.1”Œ	r-stringi”Œ	r-syuzhet”Œr-textclean >=0.6.1”Œr-textshape >=1.3.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØsRè)%hEJrG= hFˆubh)”}”(hŒlibnl-cos7-x86_64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-libnl-cos7-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ 93d4e9c1cdbdcbc124bf139c806783b2”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@61ba46c5d256edfa4ad35e0fb8f03dda2415a5d5943611fdbe33bcbf19690fd4”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@eà+×
hEJ@W hFˆubh)”}”(hŒ
r-kinship2”h#Œ1.9.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-kinship2-1.9.6-r41hc72bb7e_0.tar.bz2”h+Œ bed312db92fd32ff4d9ecfa49a49a325”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-kinship2-1.9.6-r41hc72bb7e_0.tar.bz2”h0Œ@98b4bb2931047bb98f027d1d904111c6b7ae4cd5810e720bae8cd2c84eefbc47”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-knitr”Œr-matrix”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑfõ²Ÿ¾hEJïi hFˆubh)”}”(hŒr-ggbump”h#Œ0.1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-ggbump-0.1.0-r35h6115d3f_0.tar.bz2”h+Œ 6dc9a7ec66d1ca963b7f6928aa499ce1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggbump-0.1.0-r35h6115d3f_0.tar.bz2”h0Œ@dbb95c44cd7ef9ceb6118eef2b7db159a19de79678d5d23a7c25a45baf434703”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-purrr”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×©ùtùûçhEJ§{  hFˆubh)”}”(hŒr-adgoftest”h#Œ0.3”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ(r-adgoftest-0.3-r41ha770c72_1003.tar.bz2”h+Œ edcd53c6ee7c691e5580ab3521695634”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-adgoftest-0.3-r41ha770c72_1003.tar.bz2”h0Œ@9a096b6d3a0783afc16d853e6c3c280c57959e4a7496870637ce3835c23992d8”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØ*údò-hEM|hFˆubh)”}”(hŒvirtue”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!virtue-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9af1e882227a7722661fa05807561119”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/virtue-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@002a42ad9f7e7b474ff02cc1822ee8a481783acd07391a32995cbf6b4c2bfb84”h2NhNh3(Œpluggy >=1.0.0,<2”Œpython >=3.7,<4”Œrich >=12.5.1,<13”Œtoml >=0.10,<1”Œtyper >=0.6.1,<1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÔ…Ž™ÊÁhEM„hFˆubh)”}”(hŒstreamlit-bokeh-events”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1streamlit-bokeh-events-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3f87b343df56fce46c4c699fc3b7ff3f”h.Œ_https://conda.anaconda.org/conda-forge/noarch/streamlit-bokeh-events-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d42cc3d1626b6bf5f6e3c17028a93473260e107abbaf8176a3857385ecac9e3f”h2NhNh3Œbokeh >=2.0.0”Œpython >=3.6”Œstreamlit >=0.63”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØUŽÏ¼ýôhEJ·^ hFˆubh)”}”(hŒ	r-ngramrr”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-ngramrr-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 8e6afac3e51a2f5ffe7b0b92b1859a2b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ngramrr-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@c990a86bf4ec6832994ea412b65fdf99c57657f5790404c47b64b9c62e503ec9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-tau”Œr-tm”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ”À ƒhEM¹thFˆubh)”}”(hŒros-conda-base”h#Œ0.0.2”h%ja h'Khhh(h)hŒros-conda-base-0.0.2-1.tar.bz2”h+Œ 23ec7d51b54ce45ee1b7459538e3cd78”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/ros-conda-base-0.0.2-1.tar.bz2”h0Œ@bf2b0cbd0c6a2cea4d12ef9f0c5656d7ee4b65afbbe99c7c52866362153bea3c”h2NhNh3Œros-conda-mutex * melodic”…”h6(Œboost-cpp 1.70”Œcmake >=3.7.2”Œgazebo >=9.0”Œ
ogre >=1.9”Œopencv >=3.2”Œpcl >=1.8.1”Œ
pyqt >=5.7”Œqt >=5.7”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×“sÔ¬hEM‹hFˆubh)”}”(hŒpydoe”h#Œ0.3.8”h%Œpy_1”h'Khhh(h)hŒpydoe-0.3.8-py_1.tar.bz2”h+Œ 6aeffd34a05a050c9b01c86de859c459”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pydoe-0.3.8-py_1.tar.bz2”h0Œ@4616364442c3c0c91188ae8b04d3146f21e8826e55e120835d910844e4dbe38e”h2NhNh3Œnumpy >=1.8”Œpython”Œscipy >=0.13”‡”h9h?h@ŒBSD 3-Clause”hDGAÖÐïi©7LhEMm4hFˆubh)”}”(hŒ	neurofire”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒneurofire-0.1.0-py_0.tar.bz2”h+Œ b5c14bcd97f1fd1bd2faadee78bacc32”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/neurofire-0.1.0-py_0.tar.bz2”h0Œ@439d209d6582d086735b620f0c88b282bda1f24f281c013bd804dd9115b60815”h2NhNh3Œinferno >=v0.4.2”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGA×”å<øÔþhEM”ÄhFˆubh)”}”(hŒsphinxcontrib-serializinghtml”h#Œ1.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8sphinxcontrib-serializinghtml-1.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 60e630285f44af05767dcb7f473ee03f”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@009937232bdddebd8079ebdab84f1c2ee7c529bd276e6e89cf84e74610dff584”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ*PF¨ ÅhEMkhFˆubh)”}”(hŒdagster_dask”h#Œ0.6.5”h%Œpy_0”h'K hhh(h)hŒdagster_dask-0.6.5-py_0.tar.bz2”h+Œ 07d415ff43cdb0597d146a9d574500df”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/dagster_dask-0.6.5-py_0.tar.bz2”h0Œ@2a011f71b8509a69201a231c869e2712e7182e28e45df00fe427e962c07ccd7d”h2NhNh3(Œbokeh”Œdagster 0.6.5.*”Œdagster_graphql 0.6.5.*”Œdask >=1.2.2”Œdistributed >=1.28.1”Œ
python >=3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×x?+¶FhEM:hFˆubh)”}”(hŒ	r-grobblr”h#Œ0.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-grobblr-0.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 648085647aab969a80e1fa25899c88e4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-grobblr-0.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@ef80ea4af35e6fc4d6a5b415308f78431dac34e8eb651c0c116212d028f2356a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-glue”Œr-gridextra”Œ
r-magrittr”Œr-png”Œr-purrr”Œr-rcurl”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒj'äIºhEJ­ hFˆubh)”}”(hŒr-lim”h#Œ1.4.7”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-lim-1.4.7-r41hc72bb7e_1.tar.bz2”h+Œ f0e63a6e69842963875691628562e613”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lim-1.4.7-r41hc72bb7e_1.tar.bz2”h0Œ@bfc12389463b2b62f6b00638ddf47549572420f5ab10ff6bd6b2b03b78a7fbc3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-diagram”Œ
r-limsolve”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒY²†§ðhEJsµ hFˆubh)”}”(hŒr-gsubfn”h#Œ0.7”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ%r-gsubfn-0.7-r41hc72bb7e_1002.tar.bz2”h+Œ 5de00924586d1915236f8a2ccb6bce72”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gsubfn-0.7-r41hc72bb7e_1002.tar.bz2”h0Œ@093fe2df9877a74d7814536b465f62013fbe3a9e73fe50fc1064604c0a8cf48f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-proto”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*õý¸A‰hEJiµ hFˆubh)”}”(hŒr-rebus.base”h#Œ0.0_3”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ+r-rebus.base-0.0_3-r41hc72bb7e_1002.tar.bz2”h+Œ fdbe08ec8b860d7d10dbc9b006d0dace”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.base-0.0_3-r41hc72bb7e_1002.tar.bz2”h0Œ@74c2ebb50ae172d580260b1e794465a454915b89cfa1dbc283a1d53e62e1e5cc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ	Unlimited”hDGAØ*ã‹DhEJyl hFˆubh)”}”(hŒfilesystem-spec”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ"filesystem-spec-0.2.0-py_0.tar.bz2”h+Œ d84f6bfa395d69930fcd3252433bdb7d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/filesystem-spec-0.2.0-py_0.tar.bz2”h0Œ@2c50ab7a22c0791adece921f359c663c0c932623530f6328b7cbd07e6754dd0f”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×½ó¶hEMõzhFˆubh)”}”(hŒflake8-print”h#Œ5.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'flake8-print-5.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ cf6d6d0dae98bddc92951399ba35663d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/flake8-print-5.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ae7b56052d2382adcbf8d981f280722160f79e67e99e6fab2c2c10ef9a32d63e”h2NhNh3Œflake8 >=3.0”Œpycodestyle”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØœm›¦hEMÕ$hFˆubh)”}”(hŒflask-jsonpify”h#Œ1.5.0”h%Œpy_1000”h'Mèhhh(h)hŒ$flask-jsonpify-1.5.0-py_1000.tar.bz2”h+Œ 3d1df87763bec16a6e70573abf36f415”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/flask-jsonpify-1.5.0-py_1000.tar.bz2”h0Œ@b58ec83bf945f3e2737a5be603d15904bff0492813e29ade89f19d14dad846c2”h2NhNh3Œflask”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×AŽ©©ühEMVhFˆubh)”}”(hŒ
doppel-cli”h#Œ0.3.1”h%Œpy_0”h'K hhh(h)hŒdoppel-cli-0.3.1-py_0.tar.bz2”h+Œ 0fa72bf5953ac9940575fa888fdfe1ea”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/doppel-cli-0.3.1-py_0.tar.bz2”h0Œ@08e15385aa3d986bbfc564083edb7d264f46e2dedaf1a1b2938f55dfb1e192bc”h2NhNh3Œclick”Œpython >=3.5”Œtabulate”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¡jeB^5hEMÿVhFˆubh)”}”(hŒr-umx”h#Œ4.15.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-umx-4.15.1-r41hc72bb7e_0.tar.bz2”h+Œ 964a6b230d538c6dd0339be134f0504f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-umx-4.15.1-r41hc72bb7e_0.tar.bz2”h0Œ@d6b8707d79184e536962655f0d43b1b5c376b4663b9a2b022172313bb2150b40”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-diagrammer”Œr-diagrammersvg”Œ	r-ggplot2”Œr-kableextra”Œr-knitr”Œr-lavaan”Œr-mass”Œr-matrix”Œr-mumin”Œ	r-mvtnorm”Œr-nlme”Œr-openmx >=2.19.0”Œ	r-polycor”Œr-r2html”Œr-rcurl”Œr-rsvg”Œr-scales”Œr-xtable”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÊÊáhbNhEJmœP hFˆubh)”}”(hŒ
r-ggthemes”h#Œ4.2.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-ggthemes-4.2.4-r42hc72bb7e_1.tar.bz2”h+Œ 6078edebf0f05df748d7f8ed401879b4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggthemes-4.2.4-r42hc72bb7e_1.tar.bz2”h0Œ@fcea1f85338eacea4fe2d897dc6f77eb90a30491a8cc7739e7e91b878cefce2f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-purrr”Œr-scales”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ€jñªhEJµ
 hFˆubh)”}”(hŒr-wkb”h#Œ0.4_0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ!r-wkb-0.4_0-r36hc72bb7e_0.tar.bz2”h+Œ 0d66c66cd25e4522eb691a6aba72e4c3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-wkb-0.4_0-r36hc72bb7e_0.tar.bz2”h0Œ@935c75f75deb9ee4525132b16cbbe09b3bae19304474ccbd5814b80d8109d98b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-sp”†”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×ý?!–È´hEJ¥ hFˆubh)”}”(hŒpari-galdata”h#Œ0.0.20180411”h%j3G h'K hhh(h)hŒ#pari-galdata-0.0.20180411-0.tar.bz2”h+Œ d3e73d03ca33940e99be9de412675461”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pari-galdata-0.0.20180411-0.tar.bz2”h0Œ@a5656915bffe1ee8a3825f545bc6cd56608fe94067226fcbeb6bdc48672eb000”h2NhNh3)h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGA×QÒlè´9hEJŸ hFˆubh)”}”(hŒ
r-reactlog”h#Œ1.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-reactlog-1.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 05a214566dc087e52af5c95997d6440a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-reactlog-1.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@68a90d45efe5659bd86fdb52f042af59d94bb0741da315a28986ad0df88126ab”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-jsonlite >=0.9.16”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ'db-hEJ‰ hFˆubh)”}”(hŒcroniter”h#Œ1.3.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#croniter-1.3.7-pyhd8ed1ab_0.tar.bz2”h+Œ 135932eb133936687b834e4028d368dd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/croniter-1.3.7-pyhd8ed1ab_0.tar.bz2”h0Œ@72c30137a383bb6e4a98a6fcaa4902bcb70bda2ae6308d63287b86cb71533ad5”h2NhNh3Œpython >=2.6”Œpython-dateutil”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÅì^ QìhEM«{hFˆubh)”}”(hŒr-redshifttools”h#Œ1.0.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ+r-redshifttools-1.0.1-r42hc72bb7e_3.tar.bz2”h+Œ c0efba9dc632e59982064696c7f296b2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-redshifttools-1.0.1-r42hc72bb7e_3.tar.bz2”h0Œ@4fcb60a0533e26e8b612a21d133fdc92cb7664823a2f64c73e77cb6309daf9f5”h2NhNh3(Œr-aws.s3”Œr-base >=4.2,<4.3.0a0”Œr-dbi”Œ
r-progress”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ'.1Û#hEMèhFˆubh)”}”(hŒr-eml”h#Œ2.0.6.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-eml-2.0.6.1-r42hc72bb7e_1.tar.bz2”h+Œ dab0679be8da11d3744e29207fea1ca6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-eml-2.0.6.1-r42hc72bb7e_1.tar.bz2”h0Œ@a58804e660e57d3c643beac0a41fcbe6ecfd564fe0a3a70c5f8e3e96d8554ccf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-dplyr”Œr-emld >=0.0.0.9900”Œr-jqr”Œ
r-jsonlite”Œr-rmarkdown”Œr-uuid”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÔD‚OßhEJS™ hFˆubh)”}”(hŒr-loader.ecoms”h#Œ1.4.6”h%Œr41ha770c72_0”h'K hhh(h)hŒ*r-loader.ecoms-1.4.6-r41ha770c72_0.tar.bz2”h+Œ b2d947a11dce1a11cedecc7e18fb11a7”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-loader.ecoms-1.4.6-r41ha770c72_0.tar.bz2”h0Œ@433986723e5eb918b97e0ae0b4611621710b4a5af57dfbfc0798c47a139014e2”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-loader >=1.4.5”Œr-loader.java >=1.0.0”Œr-rcurl”Œr-rjava”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡1u A‰hEJ± hFˆubh)”}”(hŒr-eml”h#Œ2.0.6.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-eml-2.0.6.1-r41hc72bb7e_0.tar.bz2”h+Œ 5220e1df827a2d488a4a39b1f36e4b14”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-eml-2.0.6.1-r41hc72bb7e_0.tar.bz2”h0Œ@85a917e221d141cab37631c6687c5360a39dc8698b2232f0d0428e37646a510c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-dplyr”Œr-emld >=0.0.0.9900”Œr-jqr”Œ
r-jsonlite”Œr-rmarkdown”Œr-uuid”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØšÂfãdZhEJF™ hFˆubh)”}”(hŒ
r-mapplots”h#Œ1.5.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ)r-mapplots-1.5.1-r36h6115d3f_1001.tar.bz2”h+Œ f86339a09b971e5b19bf9a75f7e5613b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mapplots-1.5.1-r36h6115d3f_1001.tar.bz2”h0Œ@fa27997836be5065f468c7bdd641f40163e646e81caff77f706159f81300b12a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LØ]Aº^hEJG¿ hFˆubh)”}”(hŒintake_pattern_catalog”h#Œ	2021.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5intake_pattern_catalog-2021.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 949e064cb419253d0b0d5d15575faceb”h.Œchttps://conda.anaconda.org/conda-forge/noarch/intake_pattern_catalog-2021.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c168fc411978af50e5416ccc112a9dad18c9111c2ee01e7be8aa8da5b339d58f”h2NhNh3(Œboto3 1.17.49”Œfsspec >=2021.4.0”Œintake”Œmsgpack-python”Œpython >=3.6”Œs3fs”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØWï{p¤hEM¥1hFˆubh)”}”(hŒr-reactr”h#Œ0.4.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-reactr-0.4.4-r42hc72bb7e_1.tar.bz2”h+Œ 46359f688e8738eaf168c5db0d9f4e7a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reactr-0.4.4-r42hc72bb7e_1.tar.bz2”h0Œ@71c2e38d641d57487965a7eaa29d1cba7a329f3ac53f9ea7642e6eae9e80834e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmltools”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐªèÿKÇhEJIå hFˆubh)”}”(hŒsyntok”h#Œ1.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!syntok-1.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ e58264d7effd276c5132b0749fcaa80c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/syntok-1.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@2b06066a1da6a7f2b746121f69f39b7dffc98e6f1abed0d9d8f8b037b0d7868d”h2NhNh3Œpython >=3.6”Œregex >2016”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ}þ°g®hEMãYhFˆubh)”}”(hŒlibnl-devel-cos7-x86_64”h#Œ1.1.4”h%Œh2da7399_1100”h'MLhhh(h)hŒ3libnl-devel-cos7-x86_64-1.1.4-h2da7399_1100.tar.bz2”h+Œ 6cc45f2476f8ccc7c4dbd721bf0c3285”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-x86_64-1.1.4-h2da7399_1100.tar.bz2”h0Œ@f32583faa277900346ceadde9c8d171855a98c928d338c3fc14e0b961e3e0ee0”h2NhNh3Œlibnl-cos7-x86_64 1.1.4”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Äy‡´ZhEJIó	 hFˆubh)”}”(hŒpytest-server-fixtures”h#Œ1.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1pytest-server-fixtures-1.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 91407373caa06e7bad6b48c3fa21fea8”h.Œ_https://conda.anaconda.org/conda-forge/noarch/pytest-server-fixtures-1.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@628a848d2121f6ee2da144032829e8f4d409bda7a517b273fb72f7de2289e59e”h2NhNh3(Œfuture”Œpsutil”Œpytest”Œpytest-fixture-config”Œpytest-shutil”Œpython >=2.7|>=3.4”Œrequests”Œretry”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ø´ ´IºhEM#{hFˆubh)”}”(hŒr-ggjoy”h#Œ0.4.1”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ'r-ggjoy-0.4.1-r351h6115d3f_1001.tar.bz2”h+Œ 831af21642fb0c2d8365ce5cec69cb5c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggjoy-0.4.1-r351h6115d3f_1001.tar.bz2”h0Œ@7c9dff8b9852202ae2d7114e7de899fc69e2688bdebc83880cad1e4efcfbcca1”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-ggplot2”Œr-ggridges >=0.4.0”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖþî×|îhEMzhFˆubh)”}”(hŒnapari-mrcfile-handler”h#Œ0.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1napari-mrcfile-handler-0.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 58ab234f096ac4384402b382e5d3d6c8”h.Œ_https://conda.anaconda.org/conda-forge/noarch/napari-mrcfile-handler-0.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@cbf22bcac88381d9799445cc876b187445e537d8504be3a1d3cbfb230be4a9fe”h2NhNh3(Œmrcfile”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØbíÒòhEMœ,hFˆubh)”}”(hŒlibxinerama-devel-cos7-ppc64le”h#Œ1.1.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9libxinerama-devel-cos7-ppc64le-1.1.3-h9b0a68f_105.tar.bz2”h+Œ f45935ec363179681e7fe07063591c3d”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos7-ppc64le-1.1.3-h9b0a68f_105.tar.bz2”h0Œ@1de057276a3435079517bd0013587b9b1ce3ae67aa0e452ca187a22e0dc44e94”h2NhNh3Œ&libxinerama-cos7-ppc64le ==1.1.3 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@	0õÃhEM7(hFˆubh)”}”(hŒr-randtests”h#Œ1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-randtests-1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 78f6a4a3f7a7aaa578c5ae11ed2fb1e1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-randtests-1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@07a15c332406dfa60200694b84965b0cef80c51d0933cb1e4d6d609025547112”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ/‚$¼jhEJp_ hFˆubh)”}”(hŒatomium”h#Œ1.0.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#atomium-1.0.11-pyhd8ed1ab_0.tar.bz2”h+Œ 050e145e86a0de63d54e1cdd536ce625”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/atomium-1.0.11-pyhd8ed1ab_0.tar.bz2”h0Œ@69ac8c214ee610c19180f6fded8ef7fd401708c9c32843edaed8cdeef4d5c616”h2NhNh3(Œmsgpack-python”Œnumpy”Œparamiko”Œpython >=3.6”Œrequests”Œrmsd”Œvalerius”t”h9h?h@ŒMIT”hBŒMIT”hDGAØi×
=hEMNªhFˆubh)”}”(hŒ	r-arsenal”h#Œ3.6.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-arsenal-3.6.3-r41hc72bb7e_0.tar.bz2”h+Œ e92df4380594e39940ffc290204668af”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-arsenal-3.6.3-r41hc72bb7e_0.tar.bz2”h0Œ@2f85d2b42777a6e95e6a397dd90f641dc21de23b46f1ff27ced590f2a7833009”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-knitr”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ.®¾Ÿ¾hEJí hFˆubh)”}”(hŒ	r-tsclust”h#Œ1.3.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-tsclust-1.3.1-r41hc72bb7e_1.tar.bz2”h+Œ 28fdc2b227a05cdc9ab0e03d1b102420”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tsclust-1.3.1-r41hc72bb7e_1.tar.bz2”h0Œ@5e5e200d26c7962650c711b6f0e0df3166343026d1da596ead4c8e05882cb0cc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-dtw”Œ
r-forecast”Œr-kernsmooth”Œr-locpol”Œr-longitudinaldata”Œr-pdc”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑªÿ;dhEJË÷ hFˆubh)”}”(hŒgulpio”h#Œ540.66”h%Œpy_0”h'K hhh(h)hŒgulpio-540.66-py_0.tar.bz2”h+Œ caaf3fd8a2b114ba28601d064f64f4d2”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/gulpio-540.66-py_0.tar.bz2”h0Œ@fddaddd428e42d06c5688bea946b6901ca00bfcd62dbcc1d29bf441d7ddb0b87”h2NhNh3(Œdocopt”Œjinja2”Œnumpy”Œopencv”Œpillow”Œ
python >=3”Œsh”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGA×kŒ+dZhEM^bhFˆubh)”}”(hŒlaxpy”h#Œ0.2.2”h%Œpy_0”h'K hhh(h)hŒlaxpy-0.2.2-py_0.tar.bz2”h+Œ 5848a0e22a31f286549760966387bc24”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/laxpy-0.2.2-py_0.tar.bz2”h0Œ@d752b470bf018953e47ef8e539d9535e659b55b6d3a5338dda7c2db35661ede2”h2NhNh3(Œ	geopandas”Œlaspy”Œlastools”Œnumba”Œnumpy”Œpython >=3.6”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGA×iü°ÄœhEM9)hFˆubh)”}”(hŒword2number”h#Œ1.1”h%Œpy_0”h'K hhh(h)hŒword2number-1.1-py_0.tar.bz2”h+Œ bb87aad823364271edbe47d3972c3888”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/word2number-1.1-py_0.tar.bz2”h0Œ@7a58d54af6cc991e660578789147ce2e1ac11db78564fd666cde3bc0953bab3c”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×2Ã[”záhEM'hFˆubh)”}”(hŒr-ncbit”h#Œ2013.03.29.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-ncbit-2013.03.29.1-r42hc72bb7e_1.tar.bz2”h+Œ f1bdef27fafca14809736f3f436586ac”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ncbit-2013.03.29.1-r42hc72bb7e_1.tar.bz2”h0Œ@8f226c3e51649a42935493cbe8322405ff7e850b8900c52e1bc0a86ec456ca0f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐÛý‘hhEJ¯˜ hFˆubh)”}”(hŒ
portpicker”h#Œ1.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%portpicker-1.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 2194f5df6b556d6a664a24fe4b6dec51”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/portpicker-1.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@ca54672e77b8369c71166ae7fa8d008f3a9963e5f2a6ba382b4b1aa82931f016”h2NhNh3Œpsutil”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¨m4a‡hEMSDhFˆubh)”}”(hŒgreedy”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒgreedy-0.1.1-py_0.tar.bz2”h+Œ ee07509e5b3512d74ac4f134a2077c0c”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/greedy-0.1.1-py_0.tar.bz2”h0Œ@afd9d31f49ebdac2c7bea45335742c3d520d539b4ef06e424c35b5756b6f7ba3”h2NhNh3(Œ	geopandas”Œlibpysal 4.1.1”Œnetworkx”Œ
python >=3”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×‚Œå   hEMêZhFˆubh)”}”(hŒmsrest”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!msrest-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ a1733821b05a030e805e9a47e48df636”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/msrest-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0541d8d56be3125551eebafe05e9a851847a1140ed7e8d7f8db393a1e28b0980”h2NhNh3(Œazure-core >=1.24.0”Œcertifi >=2017.4.17”Œisodate >=0.6.0”Œpython >=3.6”Œrequests >=2.16,<3.dev0”Œrequests-oauthlib >=0.5.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÄ"§é7LhEMÌhFˆubh)”}”(hŒr-assertive.strings”h#Œ0.0_3”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ2r-assertive.strings-0.0_3-r41hc72bb7e_1004.tar.bz2”h+Œ c77f71b643e0f6b9759e74074ae41c56”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.strings-0.0_3-r41hc72bb7e_1004.tar.bz2”h0Œ@0c5003b952598936989d9564041ad849b6ca00278379c336ad403c831fe3d483”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=4.1,<4.2.0a0”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐ¿0¸RhEJZM hFˆubh)”}”(hŒr-loader.ecoms”h#Œ1.4.6”h%Œr40ha770c72_0”h'K hhh(h)hŒ*r-loader.ecoms-1.4.6-r40ha770c72_0.tar.bz2”h+Œ 581cac8271065ba35fce4f4b114c41e9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-loader.ecoms-1.4.6-r40ha770c72_0.tar.bz2”h0Œ@75dc912f8c4c20715e78c99f61ed84fe920bad33b17ceaf1faecc47061ffc57c”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-loader >=1.4.5”Œr-loader.java >=1.0.0”Œr-rcurl”Œr-rjava”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡1yCÆ¨hEJí hFˆubh)”}”(hŒsphinxcontrib-details-directive”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:sphinxcontrib-details-directive-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ dd44a84b0f8ccb9150b883c48043515c”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-details-directive-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a31ee600d49d12850a0f1f7120a7ea12faaed9970adb232bbec6961fa57a9ada”h2NhNh3Œ
python >=3”Œsphinx >=2.0”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØnwâ¬hEM›2hFˆubh)”}”(hŒr-drawer”h#Œ0.2.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-drawer-0.2.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 47b6f023c1f4594171307414cafb6ccd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-drawer-0.2.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@dbeedd30ad29e861233a8577d88e78586ef085cb91840e57a243813d0b566fe5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bsplus”Œr-glue”Œr-htmltools”Œ
r-magrittr”Œr-shiny”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÀ ‘º^hEJcM hFˆubh)”}”(hŒat-spi-cos7-aarch64”h#Œ1.32.0”h%Œha826a6f_103”h'Kghhh(h)hŒ/at-spi-cos7-aarch64-1.32.0-ha826a6f_103.tar.bz2”h+Œ c1c25046c56bf35ed9d3a97bdfc967ff”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-aarch64-1.32.0-ha826a6f_103.tar.bz2”h0Œ@9086d5a1b0735598ca577f037a5b5b0bd7dd63d853f6092b75af036153f93751”h2NhNh3(Œatk-cos7-aarch64 >=1.29.2 *_103”Œ gtk2-cos7-aarch64 >=2.10.0 *_103”Œ!gtk2-cos7-aarch64 >=2.24.31 *_103”Œ$libbonobo-cos7-aarch64 >=2.4.0 *_103”Œ!orbit2-cos7-aarch64 >=2.6.0 *_103”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2¿ÒÀƒhEJùû hFˆubh)”}”(hŒr-clustcurv”h#Œ2.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-clustcurv-2.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 2dd641e2a48b1184827b8b066d4735da”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-clustcurv-2.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@499f74ba998470018af895f8d877a6e40f7fd09efd31024cad0c02950b1c7ed8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œr-dorng”Œ	r-foreach”Œr-ggfortify”Œ	r-ggplot2”Œ	r-gmedian”Œr-npregfast”Œr-rcolorbrewer”Œ
r-survival”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ›|ÈA‰hEJÄˆ hFˆubh)”}”(hŒ
flask-silk”h#Œ0.2”h%Œpy_0”h'K hhh(h)hŒflask-silk-0.2-py_0.tar.bz2”h+Œ 7d38204420a7fdd2bb9c1de22375eaa5”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/flask-silk-0.2-py_0.tar.bz2”h0Œ@27aed05a2aa5fdeb298e1bf7ed0b1eb4093778f05c0130ac5784dc2ea3b05c09”h2NhNh3Œflask >=0.8”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÊ¼YéÛ#hEJí´	 hFˆubh)”}”(hŒextendedjson”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'extendedjson-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ fd7907c5418e58bfe42a6e3b39f0c62f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/extendedjson-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@d27ed2faafe41ef78d58fde9b669b60b64d6d389519af83dae6a42bdd6f89107”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸²Üß®hEMà hFˆubh)”}”(hŒ
r-plotluck”h#Œ1.1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-plotluck-1.1.1-r41hc72bb7e_2.tar.bz2”h+Œ ab3f7a048b9669e0e71442bdf89cc394”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plotluck-1.1.1-r41hc72bb7e_2.tar.bz2”h0Œ@28bd654589cd76f8cf3e3079a56a5d2f8a664c99b973e67017d98ccb382fea44”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.2.0”Œr-hexbin >=1.27.1”Œr-hmisc >=3.17.4”Œr-plyr >=1.8.4”Œr-quantreg >=5.26”Œr-rcolorbrewer >=1.1.2”Œr-scales >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,»1ûçhEJaÏ hFˆubh)”}”(hŒr-gfd”h#Œ0.3.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-gfd-0.3.3-r41hc72bb7e_1.tar.bz2”h+Œ 3fb5bd279afbc36f704763685147c400”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-gfd-0.3.3-r41hc72bb7e_1.tar.bz2”h0Œ@b1c66e017ce454e9017465e317f1bceb5d283efd0e5d6251f13d3ae8ae790a76”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-magic >=1.5_6”Œr-mass >=7.3_43”Œr-matrix >=1.2_2”Œr-plotrix >=3.5_12”Œr-plyr >=1.8.3”Œr-shiny >=1.4”Œ	r-shinyjs”Œr-shinythemes”Œr-shinywidgets”Œr-tippy”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒw¯OPhEJ05 hFˆubh)”}”(hŒfletcher”h#Œ0.7.2”h%Œpyh44b312d_0”h'K hhh(h)hŒ#fletcher-0.7.2-pyh44b312d_0.tar.bz2”h+Œ adb595f0fee80a96eb13cae97cc73b11”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/fletcher-0.7.2-pyh44b312d_0.tar.bz2”h0Œ@f84866c28880bae16a4ad8650617b6895dbf9f4c5f6790045f7c83af41b6ec41”h2NhNh3(Œnumba >=0.49”Œpandas >=1.0”Œpyarrow >=0.17”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ*žÙ&éhEM®hFˆubh)”}”(hŒabydos”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒabydos-0.5.0-py_0.tar.bz2”h+Œ d000039e1b5332ec7d2b0126356263c0”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/abydos-0.5.0-py_0.tar.bz2”h0Œ@ab6941eb4f93f295e72ea99dd3c91214554d5f9a06b46305d1e16887fa33a43d”h2NhNh3Œdeprecation”Œnumpy”Œpython >=3.5”‡”h9h?h@Œ'GNU General Public v3 or later (GPLv3+)”hBŒGPL3”hDGA×ˆ-C–hEJ?a hFˆubh)”}”(hŒpy_dag”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!py_dag-3.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 36a6db839f8cfc747552a9656e0f09e8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/py_dag-3.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a3559973e3c8e4c64511eea9a6066ddf61cb4d663d6d919a5591e7f5bf2bfcd6”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥›XâáHhEM‘ hFˆubh)”}”(hŒr-assertive.datetimes”h#Œ0.0_3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ1r-assertive.datetimes-0.0_3-r36h6115d3f_0.tar.bz2”h+Œ fbe21c8a97e1dc60075b634887726bd2”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-assertive.datetimes-0.0_3-r36h6115d3f_0.tar.bz2”h0Œ@960a4a7ed060e20818628943e606401e5521944b06103b8c5b1bcac9e0eda192”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=3.6,<3.7.0a0”‡”h9hºh@Œ
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setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×i;¯­OßhEJ(Í
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GPL (>= 2)”hBŒGPL3”hDGAØ,ÓßÐbhEJ' hFˆubh)”}”(hŒr-cliapp”h#Œ0.1.1”h%Œr36h142f84f_0”h'K hhh(h)hŒ$r-cliapp-0.1.1-r36h142f84f_0.tar.bz2”h+Œ e7bccf90b0881325ada9db3937cad5c8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cliapp-0.1.1-r36h142f84f_0.tar.bz2”h0Œ@ff281ea84c83553acc8209e48737681b897aa2a5dcc5a38c9e4d2e558a268077”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-cli”Œr-crayon”Œr-fansi”Œr-glue >=1.3.0”Œr-prettycode”Œr-progress >=1.2.0”Œr-r6”Œ	r-selectr”Œr-withr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ßoÇ]ÒòhEJ·Ê hFˆubh)”}”(hŒgalaxy-containers”h#Œ22.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-galaxy-containers-22.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ f31587a27d77a1d9e3e0f02abf231ef0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/galaxy-containers-22.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f44a6b74b9b898a54602ef3ff626ff86d9a9fbfa4a64e34d46f3fde57d481548”h2NhNh3(Œgalaxy-util >=22.1”Œimportlib_resources”Œpython >=3.6”Œrequests”Œtyping_extensions”t”h9h?h@ŒAFL-3.0”hDGAØÁ%dèÄœhEMshFˆubh)”}”(hŒrb-activesupport”h#Œ4.2.11.1”h%Œ
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removestar”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%removestar-1.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ f3e62bceeafa6e49457ef66e09d17721”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/removestar-1.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2e9c919d96635cd742c2545996cbd188e987129f7c8416ca117e6482884ab8dc”h2NhNh3Œpyflakes”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØLfG„‹DhEMQhFˆubh)”}”(hŒpytrait”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pytrait-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 8751bd49141d3335b47c6102da6382e4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pytrait-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@79c9384ed1eb09d30028959f601101b2dd8f83454a325349a1fa6a857d6467ea”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØsã
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hc42de5b_0”h'K hhh(h)hŒ2rb-jekyll-theme-modernist-0.1.1-hc42de5b_0.tar.bz2”h+Œ 1fff9b390ee436a42d53616aa5cee8ec”h.Œ`https://conda.anaconda.org/conda-forge/noarch/rb-jekyll-theme-modernist-0.1.1-hc42de5b_0.tar.bz2”h0Œ@707456a09dce693623c64aaa0504e21f8b5f04d3d3b4046daeffc90b71c55dd5”h2NhNh3Œrb-jekyll >=3.5,<4.0”Œrb-jekyll-seo-tag >=2.0,<3”Œruby >=2.6.3,<2.7.0a0”‡”h9hºh@ŒCC0-1.0”hDGA×[^Ò°å`hEMî\hFˆubh)”}”(hŒr-vipor”h#Œ0.4.5”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ&r-vipor-0.4.5-r42hc72bb7e_1004.tar.bz2”h+Œ d01ac12d65a0caf9530113c746393e0c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-vipor-0.4.5-r42hc72bb7e_1004.tar.bz2”h0Œ@45307d8e52a703fcb688dbf73c62813267c9cd3cfe09a6cfa157db49e89c3e49”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐ¿:x  hEJð4D hFˆubh)”}”(hŒr-solvesaphe”h#Œ2.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-solvesaphe-2.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 280c56f887c48f7ed808481b5ad7f756”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-solvesaphe-2.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@4bf207a6fac3ea60a3c6ced68220a298fa646f2e4eb2959ad72d2dd2304cd336”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ[f½vhEJZ3 hFˆubh)”}”(hŒ
r-elliptic”h#Œ1.4_0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ&r-elliptic-1.4_0-r36h6115d3f_2.tar.bz2”h+Œ 87003c9944d1e575ecb6bb2495c8b064”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elliptic-1.4_0-r36h6115d3f_2.tar.bz2”h0Œ@1cf1539c9f100781abf02d36ea175be6464519f1f73ece3fe3a7685b34db34f4”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«Ñ5;dhEJœ— hFˆubh)”}”(hŒgridmet_bmi”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&gridmet_bmi-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ b26ea14e3ea884805545f1af66861e44”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/gridmet_bmi-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@35363bfef63f911dbae7080a70b546d325b6c40784da4c4f9f12263dddf5a70b”h2NhNh3(Œbmipy”Œclick”Œnetcdf4”Œnumpy”Œpython >=3.6”Œpyyaml”Œrequests”Œxarray”t”h9h?h@ŒCC0-1.0”hDGAØ½©½p¤hEMœ5hFˆubh)”}”(hŒr-piggyback”h#Œ0.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-piggyback-0.1.4-r42hc72bb7e_1.tar.bz2”h+Œ 21bc19c4ece40da01ce5159d93fb109f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-piggyback-0.1.4-r42hc72bb7e_1.tar.bz2”h0Œ@d55872a30f67a0822281417e28ef99e460cac30776dfab4ed24ed979cbbd5d17”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-fs”Œr-gh”Œr-glue”Œr-httr”Œ
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yaq-traits”Œyaqd-core >=2020.06.3”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ·1‘ÈbhEMghFˆubh)”}”(hŒcubedsphere”h#Œ0.2.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ&cubedsphere-0.2.0-pyhd8ed1ab_1.tar.bz2”h+Œ 7b96a4da8b28852cff01e978a384c37e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/cubedsphere-0.2.0-pyhd8ed1ab_1.tar.bz2”h0Œ@f3895db86dd057dcf4928a13ba6a3aa6b050e4407d8628d918334401b365b0af”h2NhNh3(Œesmpy”Œf90nml”Œmatplotlib-base”Œnumba”Œnumpy”Œpython >=3.6”Œxarray”Œxesmf”Œ
xgcm 0.5.2”Œxmitgcm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØžBÃ
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fenics-ffc”h#Œ2019.1.0”h%Œpyhd8ed1ab_16”h'Khhh(h)hŒ)fenics-ffc-2019.1.0-pyhd8ed1ab_16.tar.bz2”h+Œ 949a1e88ea8d2aa54287e2086a641084”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-pyhd8ed1ab_16.tar.bz2”h0Œ@d727c05af4131dab819a71548be3299206b6ea4efc98e284974a33c4a896198b”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×ø‡Ó9Û#hEJê hFˆubh)”}”(hŒr-qdapregex”h#Œ0.7.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-qdapregex-0.7.5-r41hc72bb7e_1.tar.bz2”h+Œ 202d03f651fd395ab6cbd877689303dd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-qdapregex-0.7.5-r41hc72bb7e_1.tar.bz2”h0Œ@394b2846b5cea74b02237fb4f92e9a590fd38fb5555e7dbbab26cdcd80076b72”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-stringi >=0.5_5”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐÆÅ3dZhEJ[S hFˆubh)”}”(hŒqtpyinheritance”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*qtpyinheritance-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ bd0a1246b51878561b8ff9ef10466f43”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/qtpyinheritance-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@62f12a1c52c751171099dc702912cbdd9305c216b5c9de1b0df513eb91ace0f0”h2NhNh3Œpython >=3.6”Œqtpy”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ<{òÄzáhEMØ(hFˆubh)”}”(hŒchoicemodels”h#Œ0.2.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'choicemodels-0.2.2-pyh9f0ad1d_0.tar.bz2”h+Œ 5cfb2dfa6cba2f9dc94d650508bc911b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/choicemodels-0.2.2-pyh9f0ad1d_0.tar.bz2”h0Œ@a6123999e0ffb2c2690c698716d108c65c596248abe098ff58456c3b7bd1e17d”h2NhNh3(Œnumpy”Œpandas”Œpatsy”Œpylogit”Œpython”Œscipy”Œstatsmodels”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¦ˆÈ;dhEM4fhFˆubh)”}”(hŒr-licors”h#Œ0.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-licors-0.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 4745a1eac3fa2fcce5159682fcd95056”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-licors-0.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@eb53998a0fd2f5af2e0e8c0b709008008aad9c60fe2e380a963163653da30912”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-fields”Œr-fnn”Œr-locfit”Œr-matrix”Œ	r-mvtnorm”Œr-rcolorbrewer”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØXq2©ühEJÙS hFˆubh)”}”(hŒr-tabulizerjars”h#Œ1.0.1”h%Œr40h785f33e_1”h'Khhh(h)hŒ+r-tabulizerjars-1.0.1-r40h785f33e_1.tar.bz2”h+Œ 49fe55cee6bbd64a1d387d273c384df3”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizerjars-1.0.1-r40h785f33e_1.tar.bz2”h0Œ@b7695dceccc0df44df5f91ccdcf92bf2a72f4d9d71e922194feaa6091471f778”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjava”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ*úÀahshEJE§ hFˆubh)”}”(hŒ	r-metrics”h#Œ0.1.4”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ(r-metrics-0.1.4-r36h6115d3f_1001.tar.bz2”h+Œ c0a18c1474c94665cb6acbd6e8f0c35d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-metrics-0.1.4-r36h6115d3f_1001.tar.bz2”h0Œ@c0d1a6e132a22e4f275d9de615570da5ee6f85b7b6055dec61de088c216f57a6”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×Lr	t9XhEJüZ hFˆubh)”}”(hŒpytorch-ranger”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pytorch-ranger-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ f54e9e7fd8b5da343214bc9c1cc0198b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytorch-ranger-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6bd03e5ed1822eedcfe20b9a32b10ad35a114418238f3455b2603e57f934973a”h2NhNh3Œpython >=3.6”Œpytorch >=1.7”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØo@ðA‰hEM?>hFˆubh)”}”(hŒr-r62s3”h#Œ1.4.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-r62s3-1.4.1-r40hc72bb7e_0.tar.bz2”h+Œ dcbe080c8f2226da5bf6a4a230a13950”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-r62s3-1.4.1-r40hc72bb7e_0.tar.bz2”h0Œ@823ecb326490cc560989a50791ded4476173dd0aa82df40c0d7ac608de209211”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAØqW+hEJ¶w hFˆubh)”}”(hŒr-ggpage”h#Œ0.2.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-ggpage-0.2.3-r41hc72bb7e_2.tar.bz2”h+Œ dc65904d1cfad8e6dfa61f06511b17a1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggpage-0.2.3-r41hc72bb7e_2.tar.bz2”h0Œ@ca2ab84353d9db5801c3dcc85bc31ed2b0843e98c97656892952b7215f664557”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-ggplot2 >=2.0.0”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tidytext >=0.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+Ý’(öhEJÙý hFˆubh)”}”(hŒscikit-mobility”h#Œ1.3.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ*scikit-mobility-1.3.1-pyh6c4a22f_0.tar.bz2”h+Œ 5218689c443fb9090d6002b92abebfc4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/scikit-mobility-1.3.1-pyh6c4a22f_0.tar.bz2”h0Œ@5ed63241452a32b38f84c3664c7464a6149495460b9a1bcc27ea3b5a599e4081”h2NhNh3(Œfiona”Œfolium”Œgeojson”Œ	geopandas”Œh3-py”Œmatplotlib-base”Œnumpy”Œpandas”Œpowerlaw”Œpyproj”Œpython >=3.6”Œpython-igraph”Œrequests”Œrtree”Œscikit-learn”Œscipy”Œshapely”Œstatsmodels”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØªsp¦ùÛhEJÁÂ hFˆubh)”}”(hŒsystemd-cos7-ppc64le”h#Œ219”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-systemd-cos7-ppc64le-219-h9d98e8f_104.tar.bz2”h+Œ 6c6cc008e69da9fd088d5b47d3d5fdb4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/systemd-cos7-ppc64le-219-h9d98e8f_104.tar.bz2”h0Œ@eaa248aa2cfa30a8c27bacf862bf61f3035b4a4d5b5ad8e83c232312995fadaf”h2NhNh3Œ%centos-release-cos7-ppc64le >=7 *_104”Œkmod-cos7-ppc64le >=18 *_104”Œ%systemd-libs-cos7-ppc64le ==219 *_104”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT and GPLv2+”hBŒGPL2”hDGA×Ø™UCÆ¨hEJøt| hFˆubh)”}”(hŒr-kpeaks”h#Œ1.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-kpeaks-1.1.0-r42hc72bb7e_2.tar.bz2”h+Œ 2c15dfadbfce05c89fce95eccd9e5ef0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-kpeaks-1.1.0-r42hc72bb7e_2.tar.bz2”h0Œ@7919549a74ef58e3e81a4db8dcca6db9ebca2fe613894d826c57fd61fe97b53f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ,€eVhEJOi hFˆubh)”}”(hŒfindiff”h#Œ0.8.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"findiff-0.8.9-pyhd8ed1ab_0.tar.bz2”h+Œ 03ba044ab3772664a326c34c9d0d533a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/findiff-0.8.9-pyhd8ed1ab_0.tar.bz2”h0Œ@1fdae14901516c8019c274b85152d8ffbad99a70fa1ffbe154438af8e29f0e3d”h2NhNh3(Œnumpy >=1.14.2”Œpython >=3.6”Œscipy >=1.3.1”Œsympy >=1.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ 3"^5hEMžmhFˆubh)”}”(hŒ
r-hydrotsm”h#Œ0.6_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-hydrotsm-0.6_0-r40hc72bb7e_0.tar.bz2”h+Œ 01b44a49f4b4dbb97cca4e1c5b713fe1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hydrotsm-0.6_0-r40hc72bb7e_0.tar.bz2”h0Œ@fd8d613cfbc48148d1f9216f0105ce50a11b7c5b515ea805c66788400346329e”h2NhNh3(Œ	r-automap”Œr-base >=4.0,<4.1.0a0”Œr-e1071”Œr-gstat”Œ	r-lattice”Œ
r-maptools”Œr-sp >=1.1_0”Œr-xts >=0.9_7”Œr-zoo >=1.7_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÃvÏ¨ÔþhEJSŒ hFˆubh)”}”(hŒ
threadloop”h#Œ1.0.2”h%Œpy_0”h'K hhh(h)hŒthreadloop-1.0.2-py_0.tar.bz2”h+Œ 822a265c2f79c75fd06160cfdcede8f4”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/threadloop-1.0.2-py_0.tar.bz2”h0Œ@9eefb1818e44a28ae616cdb4baacce41ddf36b8e9ee303aeec10c8f748b289e6”h2NhNh3Œpython”Œtornado”†”h9h?h@ŒMIT”hBŒMIT”hDGA×K…~hEM`hFˆubh)”}”(hŒr-noisefiltersr”h#Œ0.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ+r-noisefiltersr-0.1.0-r42hc72bb7e_2.tar.bz2”h+Œ 482930ad132cb7bb61223411ef8f2ba7”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-noisefiltersr-0.1.0-r42hc72bb7e_2.tar.bz2”h0Œ@9bbc9a67548e9de65ef73a696e8d7ca297e41ebe7aa86cf1225d4eeb0580dad9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-caret”Œr-e1071”Œr-kknn”Œr-mass”Œr-nnet”Œr-randomforest”Œr-rjava”Œr-rpart”Œr-rweka”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ+íñ%hEJ´ç hFˆubh)”}”(hŒbaycomp”h#Œ1.0.2”h%Œpy_1”h'Khhh(h)hŒbaycomp-1.0.2-py_1.tar.bz2”h+Œ 0654cdccba7cbae8866d60ffc99464ee”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/baycomp-1.0.2-py_1.tar.bz2”h0Œ@6ac52049ab98ef561b7273a7bbebb6b609aeb20e667fef9dd5c6031e89b7178d”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×œëõÃhEMIIhFˆubh)”}”(hŒnumactl-devel-cos6-x86_64”h#Œ2.0.9”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5numactl-devel-cos6-x86_64-2.0.9-hdf0574f_1102.tar.bz2”h+Œ 00f362cbbcbf85c9cb535b432dea97e4”h.Œchttps://conda.anaconda.org/conda-forge/noarch/numactl-devel-cos6-x86_64-2.0.9-hdf0574f_1102.tar.bz2”h0Œ@c4ce6267215d4dfae4331e258959d2b5d6e37fcb16b83977a13e4541146a06b3”h2NhNh3Œ"numactl-cos6-x86_64 ==2.0.9 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2/GPLv2”hBŒGPL2”hDGA×Å+Êï\)hEMIÔhFˆubh)”}”(hŒrequests-aws4auth”h#Œ1.1.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ,requests-aws4auth-1.1.1-pyh6c4a22f_0.tar.bz2”h+Œ b5a73e783586a19e980a71564af80a1c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/requests-aws4auth-1.1.1-pyh6c4a22f_0.tar.bz2”h0Œ@c224ed9bd49736bb43add7750cc88f0141d84976d030c6542d89d5343c0131e9”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ1Ó°bNhEMí[hFˆubh)”}”(hŒr-radix”h#Œ0.6”h%Œr35h6115d3f_1”h'Khhh(h)hŒ!r-radix-0.6-r35h6115d3f_1.tar.bz2”h+Œ 03f8c56ff9b7577064be242297a160ce”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-radix-0.6-r35h6115d3f_1.tar.bz2”h0Œ@b5bede4ef466a2e938a1b7804b0c2445cf195cc292fb0a26cba445a299bf172d”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downloader”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œr-png”Œ
r-progress”Œr-rmarkdown >=1.10”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGA×L¼#¸´9hEJöê hFˆubh)”}”(hŒr-shinydashboard”h#Œ0.7.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-shinydashboard-0.7.2-r41hc72bb7e_1.tar.bz2”h+Œ 3890c4d8eb2b6ea373717bbfd8b37700”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinydashboard-0.7.2-r41hc72bb7e_1.tar.bz2”h0Œ@b898056b466cba7a9a4f576d11881b594f652f5209f07076703ca5715eb92980”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.2.6”Œ
r-promises”Œr-shiny >=1.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐÆs—
=hEJ¶˜ hFˆubh)”}”(hŒchemml”h#Œ1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒchemml-1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 5e25a84833c189740d49acd34a6a3fdc”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/chemml-1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@ba68412ac712fea7aa0a47458495b374bf9ab0bd993627770eccd5053efecf0a”h2NhNh3(Œfuture”Œh5py”Œ
ipywidgets”Œlxml”Œmatplotlib-base >=1.5.1”Œnumpy”Œ	openbabel”Œopenpyxl”Œpandas”Œpython >=3.6”Œpython-graphviz”Œrdkit”Œscikit-learn”Œscipy”Œseaborn”Œsix”Œ
tensorflow”Œwget”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…øÅhEJTR$hFˆubh)”}”(hŒ
r-invgamma”h#Œ1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-invgamma-1.1-r36h6115d3f_0.tar.bz2”h+Œ 70332cd4ed9f34889f2ff82d51b9870f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-invgamma-1.1-r36h6115d3f_0.tar.bz2”h0Œ@4bd9d68a1419972c48ce1cfcb5a165e32c7bbb99f217360af9baf5ac5515cf67”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×““êHbhEMÍ‚hFˆubh)”}”(hŒlibxcursor-devel-cos6-x86_64”h#Œ1.1.14”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxcursor-devel-cos6-x86_64-1.1.14-ha826a6f_1103.tar.bz2”h+Œ ec26410e0f13069d6b01110caacd94f0”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos6-x86_64-1.1.14-ha826a6f_1103.tar.bz2”h0Œ@561d0aa4f0d1adb87ac9597d472c00f8cc9f226d76489bd028c215e579774d79”h2NhNh3Œ&libxcursor-cos6-x86_64 ==1.1.14 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ4D9XhEM•9hFˆubh)”}”(hŒr-qiimer”h#Œ0.9.4”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ(r-qiimer-0.9.4-r351h6115d3f_1001.tar.bz2”h+Œ 7f1b1a0e29e51459081fd961e1669b5d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-qiimer-0.9.4-r351h6115d3f_1001.tar.bz2”h0Œ@914eee0d73ad47bcd505d359dd6fb3d5c94d12fe5f2cedcbfaade325c6e52ea1”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ
r-pheatmap”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖý¡Kµ¡ËhEJÍõ hFˆubh)”}”(hŒthorlabs-apt-protocol”h#Œ29.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1thorlabs-apt-protocol-29.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0ab670c790ec44c31de4094e0b314b39”h.Œ_https://conda.anaconda.org/conda-forge/noarch/thorlabs-apt-protocol-29.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e68a9c119b1343803d617bb9dae63ae9089d77f3ab1fdebef0126efff1180d1e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØtØ•í²-hEM1YhFˆubh)”}”(hŒjson5”h#Œ0.9.5”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ json5-0.9.5-pyh9f0ad1d_0.tar.bz2”h+Œ 10759827a94e6b14996e81fb002c0bda”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/json5-0.9.5-pyh9f0ad1d_0.tar.bz2”h0Œ@3ca2456b121bf25e102581b45713530b8e9c0fb92f2e720880948ec85360017a”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×Ú(2K÷ÏhEMÉQhFˆubh)”}”(hŒread-roi”h#Œ1.6.0”h%Œpy_0”h'K hhh(h)hŒread-roi-1.6.0-py_0.tar.bz2”h+Œ d03c70fc5dcf02c3060a1d2536faef76”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/read-roi-1.6.0-py_0.tar.bz2”h0Œ@509231a8a4418deceadb533de00ea44eabddb4bf4aeebcea6383b240ee4f62ba”h2NhNh3Œ
python >=3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×³¬N‡+hEM#,hFˆubh)”}”(hŒconda-gitenv”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒconda-gitenv-0.4.0-py_0.tar.bz2”h+Œ b1d6433d9f4d2592368046d9d28f9b2e”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/conda-gitenv-0.4.0-py_0.tar.bz2”h0Œ@451e8b457a7a9a177da9f8990bb2e467fe6fc931faec6ef6c92b7a31bc4a2d20”h2NhNh3(Œconda 4.3.*”Œconda-build”Œconda-build-all”Œ	gitpython”Œpython”Œpyyaml”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×‡Çs*^5hEMñ@hFˆubh)”}”(hŒr-phylotools”h#Œ0.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-phylotools-0.2.2-r41hc72bb7e_0.tar.bz2”h+Œ 9632a076bc1d85dcbb2c7c3378a79dcd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-phylotools-0.2.2-r41hc72bb7e_0.tar.bz2”h0Œ@1704f58400aac5d3fb0e13cf04ed8bdb12b29c52127d15e24087897d926b88b0”h2NhNh3Œr-ape”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+|ÌÍhEJË hFˆubh)”}”(hŒ	structlog”h#Œ22.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%structlog-22.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ b128b9efa46947238406795aa1a8df39”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/structlog-22.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@410970a3fd6470aa10815747defac438194447eef50dac7af4663bed69933383”h2NhNh3Œpython >=3.7”…”h9h?h@ŒApache-2.0 OR MIT”hDGAØ¸£g„(öhEM¹·hFˆubh)”}”(hŒmdv”h#Œ1.7.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmdv-1.7.4-pyhd8ed1ab_0.tar.bz2”h+Œ cca63dcc9f74f8f51a19413a27298fa1”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/mdv-1.7.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e0ab890183f52c39ef7fe90a5e00a553b59828c2fa0bab6359ee0ef3c86d7e48”h2NhNh3(Œmarkdown”Œpygments”Œpython >=3.6,<3.9”Œtabulate”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØY%SÙ‡hEMÉ§hFˆubh)”}”(hŒ
r-ic.infer”h#Œ1.1_6”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ)r-ic.infer-1.1_6-r40h6115d3f_1002.tar.bz2”h+Œ 037779a47d186d78a578991e391d5f3a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ic.infer-1.1_6-r40h6115d3f_1002.tar.bz2”h0Œ@a782e2741b91776be2cddd4d6d1f22ee8e222c31c12307d005d24152bfb8b969”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œ
r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬¹Íø´9hEJ}± hFˆubh)”}”(hŒr-concaveman”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-concaveman-1.1.0-r41hc72bb7e_0.tar.bz2”h+Œ d0f95de145b57d51cb2f412373ce7586”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-concaveman-1.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@88c6016cae6f67385a82d41a667d86a2b1712b8ae9d8fcd64dcb39d186b7c791”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-jsonlite”Œ
r-magrittr”Œr-sf”Œr-v8”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+éýbŸ¾hEJà hFˆubh)”}”(hŒnlpaug”h#Œ1.1.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"nlpaug-1.1.10-pyhd8ed1ab_0.tar.bz2”h+Œ f873416142d825581aeef9e003f75106”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/nlpaug-1.1.10-pyhd8ed1ab_0.tar.bz2”h0Œ@bd3756b484baeb362d039d7f740afabce27fb8b8737a116e06df2ee10c8f9b9a”h2NhNh3(Œdatasets >=1.8.0”Œnumpy >=1.16.2”Œpandas”Œpython >=3.6”Œpytorch-cpu >=1.2.0”Œrequests >=2.22.0”Œtransformers”t”h9h?h@ŒMIT”hBŒMIT”hDGAØqÑŒÄýôhEJ·, hFˆubh)”}”(hŒr-kimisc”h#Œ0.4”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ&r-kimisc-0.4-r351h6115d3f_1000.tar.bz2”h+Œ eed8f6afb9ee674225b0082d24e33b3e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-kimisc-0.4-r351h6115d3f_1000.tar.bz2”h0Œ@ec1430359f1a5f848692f1e1363dc828ca08f7a177a46a3a4f2a768d2dcdda16”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-memoise”Œr-plyr”Œr-pryr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×+´9hEJ*Š hFˆubh)”}”(hŒr-blandaltmanleh”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-blandaltmanleh-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ 0290052ce14709ef117d4ade99857056”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-blandaltmanleh-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@d57b11a5ab3170c3117fcf72afe3d11c46210025a51846676c64ee3c9612e652”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØa¥Ö¡ËhEJT‡ hFˆubh)”}”(hŒ	r-nor1mix”h#Œ1.3_0”h%Œr35_1”h'Khhh(h)hŒr-nor1mix-1.3_0-r35_1.tar.bz2”h+Œ 102cf25d99aab47629cd267475735fe7”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-nor1mix-1.3_0-r35_1.tar.bz2”h0Œ@e10c19cfd52769899abd8d06946d141f587643a408b53ba38a1161d24519b04e”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Lo²áHhEJÃ9 hFˆubh)”}”(hŒr-rhub”h#Œ1.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-rhub-1.1.2-r42hc72bb7e_1.tar.bz2”h+Œ 96141683710664658c35dd9d998eec40”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rhub-1.1.2-r42hc72bb7e_1.tar.bz2”h0Œ@e46268457938dc440d4cba669382fb25e2c650a26f204d2f6dccf25d82a06a83”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-callr”Œr-cli >=1.1.0”Œr-crayon”Œr-desc”Œr-digest”Œr-httr”Œ
r-jsonlite”Œr-parsedate”Œr-pillar”Œr-prettyunits”Œ
r-processx”Œr-r6”Œ
r-rappdirs”Œr-rcmdcheck >=1.2.1”Œ	r-rematch”Œr-tibble”Œr-uuid”Œr-whoami”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ-²-hEJm– hFˆubh)”}”(hŒr-phater”h#Œ1.0.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-phater-1.0.7-r40hc72bb7e_0.tar.bz2”h+Œ c2d612ce0c4f16c2bd66987d6415438d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-phater-1.0.7-r40hc72bb7e_0.tar.bz2”h0Œ@abdeba147d850d5ceec3b28ef1af4af25db2651a6c75fe6ad1a0f4482df34359”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-matrix >=1.2_0”Œ	r-memoise”Œr-reticulate >=1.8”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ	›=Ô“hEJ"¶: hFˆubh)”}”(hŒ
r-corrgram”h#Œ1.14”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-corrgram-1.14-r41hc72bb7e_1.tar.bz2”h+Œ d201e3d973dd258a29937b81572258fb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-corrgram-1.14-r41hc72bb7e_1.tar.bz2”h0Œ@bf024317601aa7cab20b22c53a417fcd33735d50de1148d60477dbe785f926bd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ“tbn˜hEJ&« hFˆubh)”}”(hŒde-bundestag”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'de-bundestag-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ a5dbadbd4119d033b83a6f7eccde6bd1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/de-bundestag-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@230f6a575f47b9b40e3f4f7428c0e3d7b61f838b7b6ae20e0b4e72dc1bbf9164”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œurllib3 >=1.25.3”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÊÔ––ùÛhEM §hFˆubh)”}”(hŒgoogle-cloud-texttospeech”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4google-cloud-texttospeech-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ eb5139dd9cb686c1af0c4123f5f8e6e9”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/google-cloud-texttospeech-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@eded6eb843b08469d6bd1c15b9a5f6cabb4e94950273d2e890134b90b3c46a8a”h2NhNh3ŒGgoogle-api-core-grpc >=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0”Œpython >=3.4”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ£M•p¤hEMµuhFˆubh)”}”(hŒr-gpseq”h#Œ0.5”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ$r-gpseq-0.5-r40ha770c72_1002.tar.bz2”h+Œ a230a38866a12aecbec9c9baef1fbd8a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gpseq-0.5-r40ha770c72_1002.tar.bz2”h0Œ@f296359be91c50f7a46ef2ac6280f46c37f26bd8c9d46cf6721506800d4edf5e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+'»¶FhEJÂž hFˆubh)”}”(hŒr-postlogic”h#Œ0.1.0.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-postlogic-0.1.0.1-r40hc72bb7e_1.tar.bz2”h+Œ 2b07048152d5954674b8db9029ac33eb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-postlogic-0.1.0.1-r40hc72bb7e_1.tar.bz2”h0Œ@de69c9a5c4b3094e547b39c172fd5fe809654048280a5e76a6cc5e93d39af21a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*õWüZhEM-ehFˆubh)”}”(hŒr-survivalsvm”h#Œ0.0.5”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-survivalsvm-0.0.5-r36h6115d3f_1.tar.bz2”h+Œ 0df556d8d78387e125cc83f48cb64a71”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survivalsvm-0.0.5-r36h6115d3f_1.tar.bz2”h0Œ@95b2583f9b9b8c8c83f252dd3c7bed78f12959e8293cc192fbb2a63feb6d14d5”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-hmisc”Œ	r-kernlab”Œr-matrix”Œr-pracma”Œ
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r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯ÊˆÒáHhEJÂÊ hFˆubh)”}”(hŒifitpy”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!ifitpy-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ ed1a1e229e1863c4862bb323a897b6dd”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ifitpy-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@ede5421eb96f6e45575181934d116477ec240015b3b8e48eb7973f20300035af”h2NhNh3(Œiminuit”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÎË¿jhEMæ(hFˆubh)”}”(hŒr-bb”h#Œ	2019.10_1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-bb-2019.10_1-r35h6115d3f_0.tar.bz2”h+Œ 66114aeb9f8c3c6e3b48c770969350f0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bb-2019.10_1-r35h6115d3f_0.tar.bz2”h0Œ@dd3826129b248da16eac60c337e65f20746c5cdb7812f8798cf5129b7a8994e7”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×€R(tzáhEJä
 hFˆubh)”}”(hŒr-intergraph”h#Œ2.0_2”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ+r-intergraph-2.0_2-r40h6115d3f_1002.tar.bz2”h+Œ 6f3e4448397cd990f1ebf09ea8a0a3d8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-intergraph-2.0_2-r40h6115d3f_1002.tar.bz2”h0Œ@2996f1244c36d850cb677bd8079cd243be225e6dad4aa170b887017176e525b9”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-igraph >=0.6_0”Œr-network >=1.4_1_1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬¹C}hEJì; hFˆubh)”}”(hŒr-getopt”h#Œ1.20.3”h%Œr40ha770c72_2”h'Khhh(h)hŒ%r-getopt-1.20.3-r40ha770c72_2.tar.bz2”h+Œ 37cde575d2682501a0b7db6ed7973b1f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-getopt-1.20.3-r40ha770c72_2.tar.bz2”h0Œ@4d4a0ad4852a131ca319b56c55349019086b32ccae3e5b7e258f82c1560b6393”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*õë›33hEMó¶hFˆubh)”}”(hŒr-yesno”h#Œ0.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-yesno-0.1.2-r41hc72bb7e_1.tar.bz2”h+Œ 73129188031861987bbf22e0d4dbe266”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-yesno-0.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@3ae2cc7114751c7514f913fd44b67003e0b83ef83a1e8996cd6484fc7a521ac0”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ?w¯|îhEMÊihFˆubh)”}”(hŒsagetex”h#Œ3.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sagetex-3.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3be3ec62a7c4bfc84ca583712d43c3a2”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sagetex-3.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7ac7dbe12c656de7d445890c7cacb01bba9a2261d3d5b629f04f524c76d1d6a7”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÏcžvÉhEJ8U hFˆubh)”}”(hŒr-phonr”h#Œ1.0_7”h%Œr36_1002”h'Mêhhh(h)hŒr-phonr-1.0_7-r36_1002.tar.bz2”h+Œ 464c3ae9328a94e34f4e5902710d7b27”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-phonr-1.0_7-r36_1002.tar.bz2”h0Œ@bd35ebf86d175dcd1269793aa1d922d627d81872a43913f3a27c8240494ebfcf”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-deldir”Œ	r-plotrix”Œ	r-splancs”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¬˜kçmhEJOI hFˆubh)”}”(hŒnapari-nikon-nd2”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+napari-nikon-nd2-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ bf7fba8bae235a96771af62ab47e42bb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/napari-nikon-nd2-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@2f3e81574d9c22fb354defd76444c32ac0a647fd3a4d3c5538765ecd74e5c22a”h2NhNh3(Œnapari-plugin-engine >=0.1.4”Œ	nd2reader”Œnumpy”Œpython >=3.6,<=3.9”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ€<
ÀÔþhEM?7hFˆubh)”}”(hŒlibnl-cos7-aarch64”h#Œ1.1.4”h%Œh2da7399_1100”h'MLhhh(h)hŒ.libnl-cos7-aarch64-1.1.4-h2da7399_1100.tar.bz2”h+Œ 4dff4119724830598137790c7a6bf0ca”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-aarch64-1.1.4-h2da7399_1100.tar.bz2”h0Œ@68da934a381a608b6ad5e4da2a50ec774a6fa787d77f0bc930ae4e8c70896ab7”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Äyw“hEJÉ8 hFˆubh)”}”(hŒconvertdate”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&convertdate-2.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1f0f49ac9977393b07de93002db5ad5c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/convertdate-2.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@20dbfeb297d47b5c861abc2b77d91e29a409c6801d7487a2fa2665279d28ba5b”h2NhNh3Œpymeeus <=1,>=0.3.6”Œpython >=3.5”Œpytz >=2014.10”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ{¿z^5hEMô—hFˆubh)”}”(hŒlocket”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!locket-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 91e27ef3d05cc772ce627e51cff111c4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9afe0b5cfa418e8bdb30d8917c5a6cec10372b037924916f1f85b9f4899a67a6”h2NhNh3Œ,python >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ˜ÅGß;hEM: hFˆubh)”}”(hŒqmpy”h#Œ1.4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒqmpy-1.4.0-pyhd8ed1ab_1.tar.bz2”h+Œ e2521503ad2857b86320b67e18046362”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/qmpy-1.4.0-pyhd8ed1ab_1.tar.bz2”h0Œ@1ea9392a5a4ab0c7d8e29fd734f616598ab3b260fe74cdde0dbc0f84361b52df”h2NhNh3(Œase”Œbokeh”Œdjango <2.3”Œdjango-crispy-forms”Œdjango-extensions >2.2.5”Œdjangorestframework >3.10.0”Œdjangorestframework-filters”Œdjangorestframework-queryfields”Œdjangorestframework-xml”Œdjangorestframework-yaml”Œjinja2 <3.0”Œlark-parser”Œlxml”Œmatplotlib-base”Œmysqlclient”Œnetworkx”Œnumpy”Œpexpect”Œpulp”Œpycifrw >=4.3”Œ
pygraphviz”Œ	pyparsing”Œpytest”Œpython >=3.5”Œpython-memcached”Œpyyaml”Œrequests”Œscikit-learn”Œscipy”Œspglib >1.10”t”h9h?h@ŒMIT”hBŒMIT”hDGA×í¼A¥ãThEJ cš hFˆubh)”}”(hŒlibtiff-cos7-ppc64le”h#Œ4.0.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libtiff-cos7-ppc64le-4.0.3-h9d98e8f_1104.tar.bz2”h+Œ cdc098562d36a977fc8828a6dc13ea47”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-ppc64le-4.0.3-h9d98e8f_1104.tar.bz2”h0Œ@ae6943b1604bbe1a21235792cf40efc5634ed411790418298e252e90cbe66b5a”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@Œlibtiff”hBŒOther”hDGA×É{LM¡ËhEJDá hFˆubh)”}”(hŒelectron”h#Œ1.6.15”h%j3G h'K hhh(h)hŒelectron-1.6.15-0.tar.bz2”h+Œ b582dd5fa69a57ef76cc19407728845d”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/electron-1.6.15-0.tar.bz2”h0Œ@f8d4b632eff800ad633e9d02e1d496891143eee2d018224dd19fb07ebc8d9a03”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hEJÁˆJ hFˆubh)”}”(hŒjavapackages-tools-cos7-x86_64”h#Œ3.4.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ:javapackages-tools-cos7-x86_64-3.4.1-hdf0574f_1102.tar.bz2”h+Œ 3338cf4ada82d9f787a8279074c4ebc2”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-x86_64-3.4.1-hdf0574f_1102.tar.bz2”h0Œ@52730bb782db886f00c876aa3a714c305e609b926f1b3264301f2a0305573939”h2NhNh3Œ.python-javapackages-cos7-x86_64 ==3.4.1 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄQÉ‰7hEMZÚhFˆubh)”}”(hŒ
r-histdata”h#Œ0.8_7”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-histdata-0.8_7-r41hc72bb7e_1.tar.bz2”h+Œ 7bd12b1a42642b11528e03bb6c222d1c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-histdata-0.8_7-r41hc72bb7e_1.tar.bz2”h0Œ@03db287ebfa82b1098782d7cbfe0677be4da5e37985b43ad03eb6b9b80a0c2c8”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒihZÐåhEJ}% hFˆubh)”}”(hŒlibbonobo-cos6-x86_64”h#Œ2.24.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libbonobo-cos6-x86_64-2.24.2-h9b0a68f_1105.tar.bz2”h+Œ 005d94f3993deccba43db4432ceb5c1c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos6-x86_64-2.24.2-h9b0a68f_1105.tar.bz2”h0Œ@5147e383d22d7eaaae8ce8815d7678f25dd8e91d54ee0b6d74bcb23fd9bc978c”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGAØ@V“A7LhEJËA hFˆubh)”}”(hŒr-semnetcleaner”h#Œ1.3.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-semnetcleaner-1.3.4-r41hc72bb7e_0.tar.bz2”h+Œ 1863d62f167f24da91db585d0a7ea73f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-semnetcleaner-1.3.4-r41hc72bb7e_0.tar.bz2”h0Œ@aa4ba3085aa0e27fd5898c58b8984fe523a941fad4745289892055c98c0e12fc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-easycsv”Œ
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r-r.matlab”Œr-readxl”Œr-rstudioapi”Œ
r-searcher”Œr-semnetdictionaries >=0.1.8”Œr-shiny”Œr-stringdist”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØPáÏß;hEJO hFˆubh)”}”(hŒr-factoextra”h#Œ1.0.7”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-factoextra-1.0.7-r42hc72bb7e_2.tar.bz2”h+Œ 820a6840e03a91da66547a7a0697d871”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-factoextra-1.0.7-r42hc72bb7e_2.tar.bz2”h0Œ@8b4b56633499f94e3c37cdf3bf023f57e352fed604b160c180315f1f17c046de”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”Œr-dendextend”Œr-factominer”Œr-ggplot2 >=2.2.0”Œr-ggpubr >=0.1.5”Œ	r-ggrepel”Œ
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r-mathjaxr”h#Œ1.6_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-mathjaxr-1.6_0-r41hc72bb7e_0.tar.bz2”h+Œ a54fa8f7d9a503a5bcfcfbc66941ffe0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mathjaxr-1.6_0-r41hc72bb7e_0.tar.bz2”h0Œ@815cd3ed4e4d355ce4dee8fbcf0f480bfa94f4567e07400abb8d77380d480ac2”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ‡@*¬hEJ%> hFˆubh)”}”(hŒscikits-bootstrap”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,scikits-bootstrap-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1159527a6124ea8fdce34154799a0910”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/scikits-bootstrap-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@30e088cd99985af96203fd561aa07935c1ea562963824f059dcd215e79101026”h2NhNh3(Œnumpy”Œpyerf”Œpython >=3.6”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØwÃ'=VhEMDhFˆubh)”}”(hŒpsiresp”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"psiresp-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3b37ede457ae41fbb901278790bead55”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/psiresp-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0288cd64cf5d21eed43598f32740c103af568c324bbd497003c68ce585571dcd”h2NhNh3(Œ	geometric”Œ	h5py <3.2”Œpsiresp-base 0.4.2 pyhd8ed1ab_0”Œpython >=3.7,<3.10”Œqcfractal >=0.15.8”Œrdkit”Œrequests”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ’ª›Ž§ðhEM€hFˆubh)”}”(hŒ	r-hexview”h#Œ0.3_4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-hexview-0.3_4-r41hc72bb7e_1.tar.bz2”h+Œ fa1b5cbdbb51a410e3a5986ff355a7d3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-hexview-0.3_4-r41hc72bb7e_1.tar.bz2”h0Œ@c8d28cc1f6748c8e1f61e433473147d7220a03c4d9fb7c35d84c5f2af3aef88c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+'ÁXhEJÝ² hFˆubh)”}”(hŒaiida-nwchem.meta”h#Œ2.1.0”h%Œ
hd8ed1ab_3”h'Khhh(h)hŒ*aiida-nwchem.meta-2.1.0-hd8ed1ab_3.tar.bz2”h+Œ cc544f1e475523c79f9165a6d9ce0f76”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/aiida-nwchem.meta-2.1.0-hd8ed1ab_3.tar.bz2”h0Œ@67b5186ea44e3543878401af4c0c015f3a3af55989312f0b24366f44e8764222”h2NhNh3Œaiida-nwchem 2.1.0 pyhd8ed1ab_3”Œ"aiida-nwchem.code 2.1.0 hd8ed1ab_3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ³dB-/hEMvhFˆubh)”}”(hŒr-lfda”h#Œ1.1.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ"r-lfda-1.1.3-r40hc72bb7e_1.tar.bz2”h+Œ 412803c2229d92008bca1d4c5c9f1a6c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lfda-1.1.3-r40hc72bb7e_1.tar.bz2”h0Œ@a21dd6ae24bb454d6eeeccd74e858143dd1b1516abf74f548c0ba6aec5c4d470”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-plyr”Œ	r-rarpack”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+À>ffhEMWïhFˆubh)”}”(hŒp11-kit-cos7-aarch64”h#Œ0.23.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1p11-kit-cos7-aarch64-0.23.5-h9d98e8f_1104.tar.bz2”h+Œ 4f9867b432ad65972f3736d46a347b8a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-aarch64-0.23.5-h9d98e8f_1104.tar.bz2”h0Œ@628bc3a46a0923d1f25bf92a6b926e2c4b4ba81273d5306782d40ec0aba832c0”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×É{c¡xÕhEJáÈ hFˆubh)”}”(hŒpybtex”h#Œ0.24.0”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ"pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2”h+Œ 2099b86a7399c44c0c61cdb6de6915ba”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2”h0Œ@258fbf46050bbd51fbaa504116e56e8f3064156f0e08cad4e2fec97f5f29e6dc”h2NhNh3(Œlatexcodec >=1.0.4”Œpython >=3.6”Œpyyaml >=3.01”Œ
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opt_einsum”Œpython >=3.7”Œscipy >=1.5”Œtyping_extensions”Œzipp”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÃûtm¸hEJ/Î hFˆubh)”}”(hŒkim-edn”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"kim-edn-1.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ a9b5907d44f8bd163fd575d27b43b4f3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/kim-edn-1.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ea3132eba296060d20864833a40873120825473d1fd6abbc290509ab447e0bbe”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØMëÜ¤›¦hEM~žhFˆubh)”}”(hŒ	r-solrium”h#Œ1.2.0”h%Œr36h785f33e_0”h'K hhh(h)hŒ%r-solrium-1.2.0-r36h785f33e_0.tar.bz2”h+Œ 87d3038e7cc4a67fe2e841343bb19afe”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-solrium-1.2.0-r36h785f33e_0.tar.bz2”h0Œ@bd17dfc6346aaded831617545fd505a3ef5caaae442c3d2bff0a6a524560551f”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crul >=0.4.0”Œr-dplyr >=0.5.0”Œr-jsonlite >=1.0”Œr-plyr >=1.8.4”Œr-r6”Œr-tibble >=1.4.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ)+LîùÛhEJPn hFˆubh)”}”(hŒ	r-munsell”h#Œ0.5.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-munsell-0.5.0-r36h6115d3f_1002.tar.bz2”h+Œ cb670ae6effab04297863452015aa8d9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-munsell-0.5.0-r36h6115d3f_1002.tar.bz2”h0Œ@593a33772765e907e2b701452f96f04c6ec23a66e3a42b21dc57957d7ad91c40”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-colorspace”†”h9hºh@ŒMIT”hBŒMIT”hDGA×K°ŒãSøhEJÇÕ hFˆubh)”}”(hŒr-mlmetrics”h#Œ1.1.1”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ+r-mlmetrics-1.1.1-r351h6115d3f_1001.tar.bz2”h+Œ b3f674c37765f2aff3ed4f83a71b4648”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-mlmetrics-1.1.1-r351h6115d3f_1001.tar.bz2”h0Œ@d19b316509dffa7849e729a69413cac88ba31de444788ba324dd9519a84da32f”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-rocr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖüòx*ñªhEJ¾T hFˆubh)”}”(hŒpypdf2”h#Œ2.11.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pypdf2-2.11.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0d3c56e401d9d02b03846ee203c68852”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pypdf2-2.11.1-pyhd8ed1ab_0.tar.bz2”h0Œ@991dbab0166522a8f330ad3fc1efe8844fd2c80df4e37488bfbd4ec7d55b8a1d”•      h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ×1½Jn˜hEJo» hFˆubh)”}”(hŒr-rapiclient”h#Œ0.1.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-rapiclient-0.1.3-r36h6115d3f_1.tar.bz2”h+Œ e61cadc5136e2c286d644dd1e8aa87c5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rapiclient-0.1.3-r36h6115d3f_1.tar.bz2”h0Œ@1ebc491e5d1123bc9bb30dc2ccc8bc5bf8769ddb26bbc0bce69e9cd50c2e51b6”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-httr”Œ
r-jsonlite”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¯¨}OßhEJŸ> hFˆubh)”}”(hŒmesa-libgl-devel-cos6-x86_64”h#Œ11.0.7”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9mesa-libgl-devel-cos6-x86_64-11.0.7-h9d98e8f_1104.tar.bz2”h+Œ 5de69677360ac20470be0a515f37493a”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos6-x86_64-11.0.7-h9d98e8f_1104.tar.bz2”h0Œ@0d36b62e6ea5809d3f8f1e1c57881170dc4c644893c4eb9387bdfd2957300187”h2NhNh3Œ&mesa-libgl-cos6-x86_64 ==11.0.7 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~ñËdZhEJ-ñ hFˆubh)”}”(hŒappium-python-client”h#Œ1.0.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ/appium-python-client-1.0.2-pyh9f0ad1d_0.tar.bz2”h+Œ 6d5f6f653446e243fe6dba017adf668d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/appium-python-client-1.0.2-pyh9f0ad1d_0.tar.bz2”h0Œ@24fb24fe6fb36cdd6110ae08d3079c69c9c31c7c3db907e9f2eaebcc5c38861b”h2NhNh3Œpython”Œselenium >=3.14.1,<4”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×Õñ4hEMFÊhFˆubh)”}”(hŒlibxt-devel-cos7-aarch64”h#Œ1.1.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libxt-devel-cos7-aarch64-1.1.5-ha826a6f_1103.tar.bz2”h+Œ bf942c3fe81d7226f337626d471e6cad”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-aarch64-1.1.5-ha826a6f_1103.tar.bz2”h0Œ@f7fdc111dc6555d7dc561009437ff0e90fac9b1c7eb19a7f23612f03be7a2ae0”h2NhNh3Œ!libxt-cos7-aarch64 ==1.1.5 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3Ò„Ý/hEJ hFˆubh)”}”(hŒlibbonobo-devel-cos7-ppc64le”h#Œ2.32.1”h%Œha826a6f_103”h'Kghhh(h)hŒ8libbonobo-devel-cos7-ppc64le-2.32.1-ha826a6f_103.tar.bz2”h+Œ 437c07ca1edb9379c43b2689f25adf48”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos7-ppc64le-2.32.1-ha826a6f_103.tar.bz2”h0Œ@2ddac65fa038ac6ecafe672ff5bcc6bf439ddfa10cf2462cf697d526ea890aca”h2NhNh3Œ%libbonobo-cos7-ppc64le ==2.32.1 *_103”Œ)libxml2-devel-cos7-ppc64le >=2.4.21 *_103”Œ'orbit2-devel-cos7-ppc64le >=2.7.5 *_103”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Æ2;ß®hEJQ¶ hFˆubh)”}”(hŒr-assertive.models”h#Œ0.0_2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ.r-assertive.models-0.0_2-r42hc72bb7e_3.tar.bz2”h+Œ ed092c45af6d21e88ddc6eada3aa4ed3”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-assertive.models-0.0_2-r42hc72bb7e_3.tar.bz2”h0Œ@d0995a78e6d85595428dde05105231a0a7dc293829276975c640d87cc5d56213”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=4.2,<4.3.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÑ9ã7LhEMôˆhFˆubh)”}”(hŒcopy-jdk-configs-cos7-aarch64”h#Œ3.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ7copy-jdk-configs-cos7-aarch64-3.3-ha826a6f_1103.tar.bz2”h+Œ b85cbc86e1e71d4a2ee717858ae7e8b1”h.Œehttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-aarch64-3.3-ha826a6f_1103.tar.bz2”h0Œ@e49a237d985db9d1afe27fc09c4c93613ff6a8ea40b78c9ff0e16448487c9018”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ0¡†{hEMÅ%hFˆubh)”}”(hŒr-getoptlong”h#Œ1.0.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-getoptlong-1.0.5-r42hc72bb7e_1.tar.bz2”h+Œ 0cc5719ef3f779ccde6fd916b85624d0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-getoptlong-1.0.5-r42hc72bb7e_1.tar.bz2”h0Œ@1b282744a81a283c3654d3950902174cfd72c57ab2a9263fb8c6e1869fd5f581”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-globaloptions >=0.1.0”Œr-rjson”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑýSýó¶hEJ] hFˆubh)”}”(hŒ(java-1.7.0-openjdk-headless-cos7-aarch64”h#Œ	1.7.0.261”h%Œh9b0a68f_105”h'Kihhh(h)hŒGjava-1.7.0-openjdk-headless-cos7-aarch64-1.7.0.261-h9b0a68f_105.tar.bz2”h+Œ 09674b3ff26abf9818d027dc3e66aedd”h.Œuhttps://conda.anaconda.org/conda-forge/noarch/java-1.7.0-openjdk-headless-cos7-aarch64-1.7.0.261-h9b0a68f_105.tar.bz2”h0Œ@4925c9eb14ec6ac9445c2e4d98d38256724781498f9eb3ef176073bc701a4122”h2NhNh3(Œ"chkconfig-cos7-aarch64 >=1.7 *_105”Œ)copy-jdk-configs-cos7-aarch64 >=3.3 *_105”Œ-javapackages-tools-cos7-aarch64 >=3.4.1 *_105”Œnss-cos7-aarch64 >=3.44.0 *_105”Œ'nss-softokn-cos7-aarch64 >=3.44.0 *_105”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œ¸ASL 1.1 and ASL 2.0 and BSD and BSD with advertising and GPL+ and GPLv2 and GPLv2 with exceptions and IJG and LGPLv2+ and MIT and MPLv1.1 and MPLv2.0 and Public Domain and W3C and zlib”hBŒGPL2”hDGAØ@`À•hEJìÇhFˆubh)”}”(hŒparsedatetime”h#Œ2.4”h%Œpy_1”h'Khhh(h)hŒparsedatetime-2.4-py_1.tar.bz2”h+Œ 8df309082467d805d4468d303d9bb530”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/parsedatetime-2.4-py_1.tar.bz2”h0Œ@34f7fc300871d199c6b0d95b412e664e92b08fcffca460f7b9b8828e9322a9d1”h2NhNh3Œpython”…”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAÖÒ 9‚ÐåhEMuŠhFˆubh)”}”(hŒperl-config-tiny”h#Œ2.28”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ.perl-config-tiny-2.28-pl5321hd8ed1ab_0.tar.bz2”h+Œ f954e5c16f3924300b2bdc483cde21d2”h.Œ\https://conda.anaconda.org/conda-forge/noarch/perl-config-tiny-2.28-pl5321hd8ed1ab_0.tar.bz2”h0Œ@a47e8f1ec47ce4b01ee3546703e8217d93728bab7e908c44407c239654aa423b”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-pathtools”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÌvÔ1hEM½^hFˆubh)”}”(hŒ	r-lexicon”h#Œ1.2.1”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ%r-lexicon-1.2.1-r41hc72bb7e_3.tar.bz2”h+Œ 1f0324ffe0cb8e4c188a424c97500817”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-lexicon-1.2.1-r41hc72bb7e_3.tar.bz2”h0Œ@e2c85c111e3fd628f4b641b1278c11e5b8fba6fac7549d8f4b8fbb397c076238”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-syuzhet >=1.0.1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÐ÷¸¾¸RhEJOG2 hFˆubh)”}”(hŒnss-cos7-ppc64le”h#Œ3.44.0”h%Œh1795305_1101”h'MMhhh(h)hŒ-nss-cos7-ppc64le-3.44.0-h1795305_1101.tar.bz2”h+Œ 2e1629f3b0bb7306c9825b7dc03755f2”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nss-cos7-ppc64le-3.44.0-h1795305_1101.tar.bz2”h0Œ@f4eb7ccc52a6305e443aca95c8831b10830f6d39bf4818a29bafbea72450f1be”h2NhNh3Œnspr-cos7-ppc64le >=4.21.0”Œnss-util-cos7-ppc64le >=3.44.0”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇºÚñªhEJ’G hFˆubh)”}”(hŒ	r-cardata”h#Œ3.0_5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-cardata-3.0_5-r41hc72bb7e_1.tar.bz2”h+Œ b1a4625a136faf64f1b06d7d7df8202a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cardata-3.0_5-r41hc72bb7e_1.tar.bz2”h0Œ@653aceff7a48b459eed0dce6d5ca5491d61adbb6aaea9daed53c60f5ddf61568”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÐ<<¬hEJ#> hFˆubh)”}”(hŒlibx11-common-cos7-ppc64le”h#Œ1.6.7”h%Œha826a6f_103”h'Kghhh(h)hŒ5libx11-common-cos7-ppc64le-1.6.7-ha826a6f_103.tar.bz2”h+Œ fe6682e20c1df28dbb6bd9ffbfa52bf2”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-ppc64le-1.6.7-ha826a6f_103.tar.bz2”h0Œ@c94d38b366e332a9c7fd17fa489f52fb795ce72c0b206ec739d2b31fa937df74”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/CßKÇhEJs) hFˆubh)”}”(hŒpyxb”h#Œ1.2.6”h%Œpy_3”h'Khhh(h)hŒpyxb-1.2.6-py_3.tar.bz2”h+Œ dc72c434dbd6bc6a9af2570e5c247619”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/pyxb-1.2.6-py_3.tar.bz2”h0Œ@84e62f10b93c11095bd879d735b63c3c1ee2c26b99f6057d5ab16a3972c999a2”h2NhNh3Œpython”…”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØx
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
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r-alluvial”h#Œ0.1_2”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ)r-alluvial-0.1_2-r41ha770c72_1002.tar.bz2”h+Œ 3bb4bfe0749b7d7ab73b188673af2ec3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r41ha770c72_1002.tar.bz2”h0Œ@9a3357a760d35f4f43ef62037f7a37e973f2ad92843b00a4145143d3b0ff2992”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+}8£×hEJÕ~ hFˆubh)”}”(hŒrb-kramdown”h#Œ2.3.1”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ$rb-kramdown-2.3.1-hd8ed1ab_0.tar.bz2”h+Œ 3e5881002bd6705083a456d8e1dfdeef”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rb-kramdown-2.3.1-hd8ed1ab_0.tar.bz2”h0Œ@c17b93b63e7019a2958a30cd00afa58f0ac4df2291e1ecbea4a94ac8b9af0a63”h2NhNh3Œ	ruby >2.5”…”h9hºh@ŒMIT”hBŒMIT”hDGAØxîvÉhEJ[à hFˆubh)”}”(hŒr-catt”h#Œ2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ r-catt-2.0-r41hc72bb7e_1.tar.bz2”h+Œ a10c186a91313fb91da154ceb48cac50”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-catt-2.0-r41hc72bb7e_1.tar.bz2”h0Œ@a878bab2e989e4c372f1dea22384629effa0b58e0a55c47c58a697b8e4ef1187”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¾H¦éyhEMphFˆubh)”}”(hŒpython-dotenv”h#Œ0.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)python-dotenv-0.15.0-pyhd8ed1ab_0.tar.bz2”h+Œ 699421f15243c4528c66568916466c08”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python-dotenv-0.15.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e60a901a0c14512b7f5578dd108a8e7967e9655f49e5489f441938ba68e8f0f6”h2NhNh3Œclick >=5.0”Œpython >=2.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×æ±ÚûçhEMæNhFˆubh)”}”(hŒdjango-parler”h#Œ2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&django-parler-2.3-pyhd8ed1ab_0.tar.bz2”h+Œ a5f57b13356816f9b98134bf61bdb2e5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/django-parler-2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@8cc5d6756091b2fdfd13c2210dc00bca68f3f798171dd9bdb884f2da533711a2”h2NhNh3Œdjango >=1.7”Œpython >=3.6”Œsix”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØe¨'ûÆ¨hEM»ôhFˆubh)”}”(hŒ	poliastro”h#Œ0.17.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%poliastro-0.17.0-pyhd8ed1ab_1.tar.bz2”h+Œ ee65ba4146a0d9506082014a910d24ee”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/poliastro-0.17.0-pyhd8ed1ab_1.tar.bz2”h0Œ@5df53659ac9d90c95c45169ddcbb0321e172e479c112a202c0d799d2b0560ae1”h2NhNh3(Œastropy >=5.0,<6”Œastroquery >=0.3.9”Œcached-property”Œczml3”Œjplephem”Œmatplotlib-base >=2.0,!=3.0.1”Œnumba >=0.53.0”Œnumpy >=1.10”Œplotly >=4.0,<6”Œpyerfa”Œpython >=3.8,<3.11”Œscipy >=1.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ²ü`BhEJ» hFˆubh)”}”(hŒr-lsr”h#Œ0.5.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-lsr-0.5.2-r40hc72bb7e_0.tar.bz2”h+Œ 4aa7246748ee9dd10558db65fe8748f9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lsr-0.5.2-r40hc72bb7e_0.tar.bz2”h0Œ@b641b14fa1aa0f20c6c54b5b107baf35410ee0a698e450dc25f76ae5ea3b3f08”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØiÝ…›¦hEJOU hFˆubh)”}”(hŒlibxinerama-devel-cos7-x86_64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxinerama-devel-cos7-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ 64242ba341c8408473e99cab47bbf250”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos7-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@355ea9262ab5511f4df222b26e14708eac21e543c572ab37113160b7dc3e6ea6”h2NhNh3Œ&libxinerama-cos7-x86_64 ==1.1.3 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3ìjhEMœ'hFˆubh)”}”(hŒr-rmagic”h#Œ2.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-rmagic-2.0.3-r41hc72bb7e_1.tar.bz2”h+Œ 78824ffcc4e8ee3c577c72007463ec5c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmagic-2.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@3c200702817766ec6293484eee8def4938921e73662574a43f7d825a2ae599f3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-matrix >=1.2_0”Œr-reticulate >=1.4”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+°üª\hEJr’( hFˆubh)”}”(hŒ	r-genenet”h#Œ1.2.16”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-genenet-1.2.16-r42hc72bb7e_1.tar.bz2”h+Œ d6abc9d908a68c7e3f935fcb4d82e6ab”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-genenet-1.2.16-r42hc72bb7e_1.tar.bz2”h0Œ@0b1da93d64dfeeb9f9e415088f5357e9310fba286a301b93194d036054f42143”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-corpcor >=1.6.8”Œr-fdrtool >=1.2.15”Œr-longitudinal >=1.1.12”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ-
ÉhshEJ` hFˆubh)”}”(hŒr-superlearner”h#Œ2.0_28”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-superlearner-2.0_28-r42hc72bb7e_1.tar.bz2”h+Œ 8a79bb7a5e1edd23680a7d3b2cd62e36”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-superlearner-2.0_28-r42hc72bb7e_1.tar.bz2”h0Œ@520e2f3ea1b0c92f1f2bfafafedb48c3752cf525c50d73f11f17594f87081031”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cvauc”Œr-gam >=1.15”Œr-nnls”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ‡™©ühEJ	 hFˆubh)”}”(hŒpylint-flask”h#Œ0.6”h%Œpy_0”h'K hhh(h)hŒpylint-flask-0.6-py_0.tar.bz2”h+Œ 5a9afd3d0a61b08d59eed70fab859c1b”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pylint-flask-0.6-py_0.tar.bz2”h0Œ@3401e0a8b2ca1116707f7fe23511a70d59c15ee00464ed3b3f032d04bde7a655”h2NhNh3(Œastroid >=1.0”Œlogilab-common >=0.60.0”Œpylint >=1.0”Œpylint-plugin-utils >=0.2.1”Œpython”t”h9h?h@ŒGPL 2”hDGA×xM5/hEM‰5hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpyhd8ed1ab_14”h'Khhh(h)hŒ)fenics-ffc-2019.1.0-pyhd8ed1ab_14.tar.bz2”h+Œ ae3674cc0530ac1f7bc9719cb9e4d111”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-pyhd8ed1ab_14.tar.bz2”h0Œ@755d0481ad1c54913c0c2bf00c9a10e351b49ab0781513c4c257e108e9cdafef”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×÷•.R=qhEJ€è hFˆubh)”}”(hŒtox-venv”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒtox-venv-0.4.0-py_0.tar.bz2”h+Œ 542835997a0760b1fcb0a25627743a6c”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/tox-venv-0.4.0-py_0.tar.bz2”h0Œ@4e86eb8b860ffdbe6e63ea4246bee0acc4449a43124fbc803869b51561e09290”h2NhNh3Œpython”Œtox >=3.8.1”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Œ‹çmhEMKGhFˆubh)”}”(hŒgrabber-ift”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&grabber-ift-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ eb9c78207d2f73ea759cb7c13a9344f1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/grabber-ift-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@12f6401c57e4ebe06aa7a6578ce4b2904caf50ca29c6fa5715bb72fe73870103”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œopencv >=4.4.0”Œpyift >=0.0.4”Œpython >=3.7”Œscipy >=1.7.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ~›óO¾whEM38hFˆubh)”}”(hŒr-entropyexplorer”h#Œ1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ+r-entropyexplorer-1.1-r36h6115d3f_0.tar.bz2”h+Œ 6c596511c01caa67ec24aaaf315a3443”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-entropyexplorer-1.1-r36h6115d3f_0.tar.bz2”h0Œ@6d98a7ac2d5d91b6e5f5a36c0554a03bc5ad03fb8b2f9d9a4ff29d022c1d11dc”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×S¦“ß
=hEJM hFˆubh)”}”(hŒlibibumad-cos7-x86_64”h#Œ22.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libibumad-cos7-x86_64-22.4-h9b0a68f_1105.tar.bz2”h+Œ 96155994228c0e1367087bee9c114848”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-x86_64-22.4-h9b0a68f_1105.tar.bz2”h0Œ@69be731d86954b44e460c1f7832ef92bac1e67c9068ae05839596f197efafe3d”h2NhNh3Œ#rdma-core-cos7-x86_64 ==22.4 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@l”Ê°!hEMl|hFˆubh)”}”(hŒr-swfscmisc”h#Œ1.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-swfscmisc-1.6-r42hc72bb7e_1.tar.bz2”h+Œ 8912bdce1baac3ee238a50e44f08aa2f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-swfscmisc-1.6-r42hc72bb7e_1.tar.bz2”h0Œ@836221f5af27af12f5eee08cc876d3b37e17275e0d48d32a95df6866ef11f7a1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œ	r-ggrepel”Œr-hdinterval”Œr-kknn”Œ
r-magrittr”Œ	r-mapdata”Œr-maps”Œr-rlang”Œr-sf”Œr-spatstat.geom”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑŽ¼!‰7hEJ„
 hFˆubh)”}”(hŒtf_slim”h#Œ1.1.0”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ"tf_slim-1.1.0-pyhd3deb0d_1.tar.bz2”h+Œ f22bb814e3af93ee5ad2e3b01ac0cc66”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tf_slim-1.1.0-pyhd3deb0d_1.tar.bz2”h0Œ@bcd3c84007e7f5ddf854df13919ad5ef74debb9643bf20e5deb9503ec1df3639”h2NhNh3Œpython”Œtensorflow >=1.12.0”†”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAØ#K÷¾whEJF¶ hFˆubh)”}”(hŒr-rchoicedialogs”h#Œ1.0.6.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ.r-rchoicedialogs-1.0.6.1-r42hc72bb7e_1.tar.bz2”h+Œ ed2b6af7abda1f801a7520f775c893d1”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rchoicedialogs-1.0.6.1-r42hc72bb7e_1.tar.bz2”h0Œ@be6679682c762cc79d7606be01bc9ce8cad2f42a022580c9702c8f1bceff94b2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava”†”h9hºh@ŒLGPL (>= 2.1)”hBŒLGPL”hDGAØÒ'ößKÇhEJ}C hFˆubh)”}”(hŒlibx11-cos7-ppc64le”h#Œ1.6.7”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.libx11-cos7-ppc64le-1.6.7-h9d98e8f_104.tar.bz2”h+Œ f915f604be0970554200aac6cd925131”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libx11-cos7-ppc64le-1.6.7-h9d98e8f_104.tar.bz2”h0Œ@835ecb251219e5adfba4f190e6dc3736ba1f77fcf1f4775620cff2810aeeae00”h2NhNh3Œ(libx11-common-cos7-ppc64le >=1.6.7 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzjºJhEJ‘K hFˆubh)”}”(hŒr-lmms”h#Œ1.3.3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ"r-lmms-1.3.3-r40h6115d3f_1.tar.bz2”h+Œ a44ba85e7e19623c262b0b9b1f372e38”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmms-1.3.3-r40h6115d3f_1.tar.bz2”h0Œ@1c0a36d5ea0fb0293ebd86c51fd293125f45e04694ff82309e81e489a8395a06”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-gdata”Œ	r-ggplot2”Œr-gplots”Œr-gridextra”Œr-lmesplines”Œr-nlme”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯)333hEJ+û hFˆubh)”}”(hŒlibglvnd-glx-cos7-ppc64le”h#Œ1.0.1”h%Œ
h1341992_0”h'K hhh(h)hŒ2libglvnd-glx-cos7-ppc64le-1.0.1-h1341992_0.tar.bz2”h+Œ 528fdf6f4dd4bc9f7eff3b81ae3c247a”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libglvnd-glx-cos7-ppc64le-1.0.1-h1341992_0.tar.bz2”h0Œ@2b5c752cb6dc289e15d857a5b43a259104ceb1bc932e297a36f08cc187e587c9”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Œ–L(å`hEJ¾  hFˆubh)”}”(hŒrequests-unixsocket”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ&requests-unixsocket-0.2.0-py_0.tar.bz2”h+Œ 1e94a233d2f2c81b2bf11bd43a515fbe”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/requests-unixsocket-0.2.0-py_0.tar.bz2”h0Œ@ec25c2a8ce5cafe62513ace969d341567614e8b17c7cb6da2b5f7a493548bf3b”h2NhNh3Œpython”Œrequests >=1.11,<3”Œurllib3 >=1.8,<2”‡”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×Vg]$IºhEMi7hFˆubh)”}”(hŒr-assertive.files”h#Œ0.0_2”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ0r-assertive.files-0.0_2-r40hc72bb7e_1003.tar.bz2”h+Œ 522d9bf415af6f5523d218351392c168”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.files-0.0_2-r40hc72bb7e_1003.tar.bz2”h0Œ@c430587cb75e3c1a1019a7bd77871fd3dac738192b6a1c155f871977141a46ba”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.numbers”Œr-base >=4.0,<4.1.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*ôfw¾whEJDP hFˆubh)”}”(hŒlibibumad-cos6-x86_64”h#Œ1.3.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libibumad-cos6-x86_64-1.3.9-h9d98e8f_104.tar.bz2”h+Œ 2731190eab29b05ac7be6cbbbd9b23da”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos6-x86_64-1.3.9-h9d98e8f_104.tar.bz2”h0Œ@f6e1f198839a625355623e6c7086e3d6016b57a306b3d516f096201ec40f401c”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÉyƒY‰7hEM,íhFˆubh)”}”(hŒr-assertive.datetimes”h#Œ0.0_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ1r-assertive.datetimes-0.0_3-r41hc72bb7e_0.tar.bz2”h+Œ 3471fccc062bcf5437aa4588866ac787”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-assertive.datetimes-0.0_3-r41hc72bb7e_0.tar.bz2”h0Œ@7e19e1eb11b37225271414e955160f9957e8dac55a4a708ebeb55053353bd38c”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=4.1,<4.2.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ*úx†VhEMÜ§hFˆubh)”}”(hŒ
pytest-csv”h#Œ3.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pytest-csv-3.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6727c15ecc652f5a405ef64c8de5da63”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pytest-csv-3.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@84c6e2f1bfb1de2caf560db7aece6d63940d6e3e4aa30906a2181a2386b539b9”h2NhNh3Œpytest >=4.4”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÒ‹a‰7hEJ¢= hFˆubh)”}”(hŒlibxrandr-devel-cos7-ppc64le”h#Œ1.5.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ8libxrandr-devel-cos7-ppc64le-1.5.1-ha826a6f_1103.tar.bz2”h+Œ 32b18d41b9de961119ff3c68655d7753”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos7-ppc64le-1.5.1-ha826a6f_1103.tar.bz2”h0Œ@636b55248fa2a0e459cf4d24c9a9716323655f0b01621f309b1d531027cdc772”h2NhNh3Œ%libxrandr-cos7-ppc64le ==1.5.1 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ4v1hEM,=hFˆubh)”}”(hŒbw_processing”h#Œ0.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(bw_processing-0.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ c37d615f866da2fc1725840aa41cd3bf”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/bw_processing-0.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@757835d510ee1b7d0f37065e6566512dc3ca4a7fe6e14e7b119541b763ba9ca7”h2NhNh3(Œfs”Œnumpy”Œpandas”Œpython >=3.5”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÈ¾ «×
hEMåqhFˆubh)”}”(hŒlibxi-devel-cos7-aarch64”h#Œ1.7.9”h%Œhdf0574f_102”h'Kfhhh(h)hŒ3libxi-devel-cos7-aarch64-1.7.9-hdf0574f_102.tar.bz2”h+Œ 175e9810ff326402409dc2e6521979a9”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-aarch64-1.7.9-hdf0574f_102.tar.bz2”h0Œ@009156a0f5dd7b49fa091f39040dcfe897e3049da2e83207c15c34adc6d93553”h2NhNh3Œ libxi-cos7-aarch64 ==1.7.9 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµD‡
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jsonschema”Œpandas”Œ	papermill”Œpyarrow”Œpython >=3.5”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŠaXõÃhEMvhFˆubh)”}”(hŒmore.static”h#Œ0.10”h%Œpy_1”h'Khhh(h)hŒmore.static-0.10-py_1.tar.bz2”h+Œ f033ed3f26b913e6f747f5fa409a28ea”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/more.static-0.10-py_1.tar.bz2”h0Œ@28698c9d6bf3cccd9984d87b3649f02bcebd2189b2efd31fc475c469567fb0cc”h2NhNh3Œbowerstatic >=0.8”Œmorepath >=0.16”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÑ}È<ÌÍhEMÁhFˆubh)”}”(hŒ
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r-multcomp”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬^CSøhEJ " hFˆubh)”}”(hŒpysm3”h#Œ3.3.2”h%Œpyh8a188c0_0”h'K hhh(h)hŒ pysm3-3.3.2-pyh8a188c0_0.tar.bz2”h+Œ f943be8f0d675ffc2f66669c05ebb207”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pysm3-3.3.2-pyh8a188c0_0.tar.bz2”h0Œ@dd6f8612f09c5df29bc271e4476560100fa143b5c663865199d21ab5216680d9”h2NhNh3(Œhealpy”Œnumba”Œnumpy”Œpython >=3.7”Œscipy”Œtoml”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ_uWl‹hEMr§hFˆubh)”}”(hŒnapari-spatialdata”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-napari-spatialdata-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2261a260653d4b9e24c3e616b9314570”h.Œ[https://conda.anaconda.org/conda-forge/noarch/napari-spatialdata-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@247d000666fe777ede48ab63d208886b59d6d6fe6193d1a679aaa4cdbacb6236”h2NhNh3(Œanndata”Œloguru”Œmagicgui”Œnapari”Œnumba”Œnumpy”Œpython >=3.8”Œqtpy”Œscikit-image”Œsquidpy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿™;ò¬hEMHNhFˆubh)”}”(hŒaspy”h#Œ0.4.2”h%Œpy_0”h'K hhh(h)hŒaspy-0.4.2-py_0.tar.bz2”h+Œ b8973df39e14016bbed2ef8cd0bbddf0”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/aspy-0.4.2-py_0.tar.bz2”h0Œ@690f2b45957518e2f23e8102092f5dd43c71577168327bbb0810979f6c7dd86e”h2NhNh3Œisodate”Œpython >=3.6”†”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGA×­æÂáHhEM"-hFˆubh)”}”(hŒcovid-sim-data”h#Œ0.8.0”h%j3G h'K hhh(h)hŒcovid-sim-data-0.8.0-0.tar.bz2”h+Œ f31120f5ad16c27649a73d64f1f3f720”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/covid-sim-data-0.8.0-0.tar.bz2”h0Œ@c084c32f73f40b37f3d8cdbb0d2dc31c6d49dff04818eb3424a0908ff24f90a3”h2NhNh3)h9hºh@ŒGPL-3.0-only”hBŒGPL”hDGA×ª]^t9XhEJIö	hFˆubh)”}”(hŒr-widgetframe”h#Œ0.3.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-widgetframe-0.3.1-r41hc72bb7e_1.tar.bz2”h+Œ 82ca99e79d963f14033afa4e982feeb9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-widgetframe-0.3.1-r41hc72bb7e_1.tar.bz2”h0Œ@20ad6d1e83a75235f2d9b6d5f76306e939d6a9c69788a5a98ea9214d94d6b1d5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ú•i%hEJý hFˆubh)”}”(hŒr-ampliconduo”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-ampliconduo-1.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 6bcb8139867d690bfca45951bc3655f2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ampliconduo-1.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@5f84a4f1a3b1930e6db72f58e539b42e265f7126cddff1c144ecd9c3486e0f17”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-xtable”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ+ÆPŽffhEJfû hFˆubh)”}”(hŒlibxft-cos7-ppc64le”h#Œ2.3.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libxft-cos7-ppc64le-2.3.2-h9b0a68f_105.tar.bz2”h+Œ 01eb8441b90f4cd0608f48907bf83303”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-ppc64le-2.3.2-h9b0a68f_105.tar.bz2”h0Œ@4bd61ab67baf50fea865c65c6706931d42a0d4a93abbe8765511e3b4b28bec0e”h2NhNh3Œ#fontconfig-cos7-ppc64le >=2.2 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@”a™šhEM£ôhFˆubh)”}”(hŒlibibcm-cos6-x86_64”h#Œ1.0.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libibcm-cos6-x86_64-1.0.5-h9d98e8f_1104.tar.bz2”h+Œ 2bf372611bd5fc1ee9020514155d04fb”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libibcm-cos6-x86_64-1.0.5-h9d98e8f_1104.tar.bz2”h0Œ@9d0730fb01070ae1818b17ca17115c1d8f793ad2c2e5bf320dc2146bece3a256”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É{ å`hEMRhFˆubh)”}”(hŒtorchmetrics”h#Œ0.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'torchmetrics-0.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ 9a04631345125b109ecddd3367fce0a3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/torchmetrics-0.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@731aa9e7ffa66a97f8a6218bef9770d09bc773a4628ecce791d106c9c05573eb”h2NhNh3(Œ	packaging”Œpython >=3.6”Œpytorch >=1.3.1”Œ
setuptools”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ<E(öhEJúõ hFˆubh)”}”(hŒ
r-survtmle”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-survtmle-1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ a9c57ffd44b05fc5a5be92f7695f0efb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-survtmle-1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@495e02af337978e93a84f838e65876260fcbe2ad55b4bdfaf7c1668cd4c6f54e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-ggsci”Œr-matrix”Œr-plyr”Œ
r-speedglm”Œ	r-stringr”Œr-superlearner”Œr-tidyr >=0.8.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓÃšm‘hhEJ9 hFˆubh)”}”(hŒ
r-varselrf”h#Œ0.7_8”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ)r-varselrf-0.7_8-r41hc72bb7e_1002.tar.bz2”h+Œ 9b965e775c08b0b3be29d7138cf5d0b9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varselrf-0.7_8-r41hc72bb7e_1002.tar.bz2”h0Œ@dd5125cbb4cc2df38de2941d3d78f6a51e3a494fcab567bd8e4cdbaf8eb69aba”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-randomforest”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+>g
=hEJvï hFˆubh)”}”(hŒlibice-cos7-x86_64”h#Œ1.0.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libice-cos7-x86_64-1.0.9-h9d98e8f_1104.tar.bz2”h+Œ 630f5f9f7946a39a023b9b3885bb9e2b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libice-cos7-x86_64-1.0.9-h9d98e8f_1104.tar.bz2”h0Œ@e13115b0b8489a90992e350f89e2327625a202c00e5e8b03d8dc93d5243017da”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzGSøhEJU hFˆubh)”}”(hŒblackjax”h#Œ0.9.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#blackjax-0.9.6-pyhd8ed1ab_0.tar.bz2”h+Œ fbd3f41092283665d186cd3fe9924598”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/blackjax-0.9.6-pyhd8ed1ab_0.tar.bz2”h0Œ@2836d0b9277215c38574a84778ac0cfb9fdc1d3b9252f332275e6e9238a86902”h2NhNh3(Œfastprogress >=0.2.0”Œjax >=0.3.13”Œjaxlib >=0.3.10”Œjaxopt >=0.4.2”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÏž‰&éhEJI7 hFˆubh)”}”(hŒglib2-devel-cos6-x86_64”h#Œ2.28.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ4glib2-devel-cos6-x86_64-2.28.8-ha826a6f_1103.tar.bz2”h+Œ d9a86dec1f72ffec571bd70897179ece”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos6-x86_64-2.28.8-ha826a6f_1103.tar.bz2”h0Œ@e9b4f48a7525f2278de30df661ece51294f3b09abdfe6fbfde0153846333902e”h2NhNh3Œ!glib2-cos6-x86_64 ==2.28.8 *_1103”Œ#pkgconfig-cos6-x86_64 >=0.14 *_1103”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1Á7LhEJ' hFˆubh)”}”(hŒnikola”h#Œ8.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!nikola-8.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8b0a3d91785373fb889d5f79c49939ac”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/nikola-8.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@202b15bd337b26180325b7aca0a3070a6addcad0f7e36f1b9be2e30f06d8d641”h2NhNh3(Œbabel >=2.6.0”Œblinker >=1.3”Œdocutils >=0.13”Œdoit >=0.32.0”Œlxml >=3.3.5”Œmako >=1.0.0”Œmarkdown >=3.0.0”Œnatsort >=3.5.2”Œpiexif >=1.0.3”Œpillow >=2.4.0”Œpygments >=1.6”Œpyrss2gen >=1.1”Œpython >=3.5”Œpython-dateutil >=2.6.0”Œrequests >=2.2.0”Œsetuptools >=24.2.0”Œunidecode >=0.04.16”Œyapsy >=1.11.223”t”h6(Œipykernel >=4.0.0”Œjinja2 >=2.7.2”Œaiohttp >=3.0.0”Œtoml >=0.9.2”Œphpserialize >=1.3”Œwatchdog >=0.8.3”Œruamel.yaml >=0.15”Œpygal >=2.0.0”Œmicawber >=0.3.0”Œhusl >=4.0.2”Œtypogrify >=2.0.4”Œnotebook >=4.0.0”Œghp-import >=1.0.0”Œpyphen >=0.9.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ£=ú‰xÕhEJ), hFˆubh)”}”(hŒr-xlsx”h#Œ0.6.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-xlsx-0.6.5-r42hc72bb7e_1.tar.bz2”h+Œ a45c8fce8f94f2e180276988f4b56ee1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-xlsx-0.6.5-r42hc72bb7e_1.tar.bz2”h0Œ@0303b7409e15ae6a14103c02118e849f583b09a1b5e0b02946c89b0709f33630”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava”Œ
r-xlsxjars”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ?˜z¬hEJ”E hFˆubh)”}”(hŒ	geodemora”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$geodemora-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 7f9fccef3512b633b045b19afd894d19”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/geodemora-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@6aa79058d8241ae3cdcb62c5eeda83865bbaa382557416b60d65876578c37568”h2NhNh3(Œearthengine-api”Œfolium”Œ	geopandas”Œ
ipyleaflet”Œnumpy”Œpyshp”Œpython >=3.7”Œrasterio”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ§zt(öhEM­)hFˆubh)”}”(hŒopensm-libs-cos6-x86_64”h#Œ3.3.17”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4opensm-libs-cos6-x86_64-3.3.17-h9b0a68f_1105.tar.bz2”h+Œ 7b8e692c7e1968bb9908101149eb3bb3”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/opensm-libs-cos6-x86_64-3.3.17-h9b0a68f_1105.tar.bz2”h0Œ@2e392cff800bc75e19d1a58fbb5b19b58f03ca831c7dafda1c22b2de85f316ea”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJÐbhEJÏ hFˆubh)”}”(hŒpy-rouge”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!py-rouge-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 72993564595a55c7bbe8b2fc7292d344”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/py-rouge-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@fad755116e1fc3d0b54cb5b9ceb7e4e9beeb6eab4e2dae20e0a6e83c442dc22b”h2NhNh3Œnltk”Œpython >=3.6”Œ
setuptools”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØŒ„‹DhEMœíhFˆubh)”}”(hŒ
csvinsight”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%csvinsight-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ fc8e9c3d634d453f7965d73e9706e68e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/csvinsight-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@1fb2ec7975841e6ce250a3ac28292992b9f5d3007f223a34f17db1d793a5359c”h2NhNh3(Œplumbum”Œpython >=3.6”Œpyyaml”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÎÌtªÐåhEM®MhFˆubh)”}”(hŒpandavro”h#Œ1.5.2”h%Œpy_0”h'K hhh(h)hŒpandavro-1.5.2-py_0.tar.bz2”h+Œ debadbddd7caadf2f5ccf95142496554”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pandavro-1.5.2-py_0.tar.bz2”h0Œ@00111d1785a6398ae88340874c1f809d9c9c697ef236631512e977a1a54f82fd”h2NhNh3(Œfastavro >=0.14.11”Œnumpy >=1.7.0”Œpandas >=1.0.0”Œpython >=3.5”Œ	six >=1.9”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÏMÒH“uhEMuhFˆubh)”}”(hŒ	pykriging”h#Œ0.2.0”h%Œpy_1”h'Khhh(h)hŒpykriging-0.2.0-py_1.tar.bz2”h+Œ a5a5ec5ea1683e8140406333a0540470”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pykriging-0.2.0-py_1.tar.bz2”h0Œ@714e3cef07db494a66f8460af059287b2c5ecb3e57e5d2b189cfb939f96d3577”h2NhNh3(Œdill”Œinspyred”Œmatplotlib-base”Œnumpy”Œpython”Œscipy”t”h9h?h@ŒGLP-2.0”hBŒGPL”hDGA×‘k»33hEJ'Ž hFˆubh)”}”(hŒr-sparsepca”h#Œ0.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-sparsepca-0.1.2-r41hc72bb7e_1.tar.bz2”h+Œ 012aaf30b12468f8d145e4941528a7dc”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepca-0.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@0f2efafc9e78936012478cada650e6bb6a128dee95f34f47819d8ef26e28faa1”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rsvd”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+_
=hEJ hFˆubh)”}”(hŒ
r-freqprof”h#Œ0.0.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-freqprof-0.0.1-r36hc72bb7e_0.tar.bz2”h+Œ 5cec77059f945878dd6a6035a3015fa3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-freqprof-0.0.1-r36hc72bb7e_0.tar.bz2”h0Œ@b8f70ffb443d1dbb63e38ce4e19ba4505b92309bafc32c221b465ebc9ac1d197”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œ
r-reshape2”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ-®¥bNhEJà* hFˆubh)”}”(hŒlibxml2-devel-cos7-aarch64”h#Œ2.9.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libxml2-devel-cos7-aarch64-2.9.1-h9b0a68f_1105.tar.bz2”h+Œ e310825a3f7e8395c2e65d4e26579d43”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-aarch64-2.9.1-h9b0a68f_1105.tar.bz2”h0Œ@fabff0b59fcdff3a6df5e0346ca1bd54108e8b6646aa2b89941610522ad52a50”h2NhNh3Œ#libxml2-cos7-aarch64 ==2.9.1 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œ“ƒhEJ?7 hFˆubh)”}”(hŒcups-libs-cos7-ppc64le”h#Œ1.6.3”h%Œha826a6f_103”h'Kghhh(h)hŒ1cups-libs-cos7-ppc64le-1.6.3-ha826a6f_103.tar.bz2”h+Œ bf762918674e3aa2b908d86760b3c95f”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos7-ppc64le-1.6.3-ha826a6f_103.tar.bz2”h0Œ@282324ebb9f27ff4537aaf068e12e04b24225688eed658fb481084d2c839236b”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2 and zlib”hBŒLGPL”hDGA×Æ{$žÈ´hEJê hFˆubh)”}”(hŒlibrdmacm-cos7-aarch64”h#Œ22.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1librdmacm-cos7-aarch64-22.4-h9b0a68f_1105.tar.bz2”h+Œ be1d0f3d7ef66f8d926a01c195a4ecb8”h.Œ_https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-aarch64-22.4-h9b0a68f_1105.tar.bz2”h0Œ@882cf637080cbe9341123ae3056190d7e5014695803521187dbdef11f75087dc”h2NhNh3Œ%libibverbs-cos7-aarch64 ==22.4 *_1105”Œ$rdma-core-cos7-aarch64 ==22.4 *_1105”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@‘‚ò\hEJ hFˆubh)”}”(hŒ	r-snftool”h#Œ2.3.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-snftool-2.3.1-r41hc72bb7e_1.tar.bz2”h+Œ 7cc086b5bec332bcf51b58f300f5d498”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-snftool-2.3.1-r41hc72bb7e_1.tar.bz2”h0Œ@998b055f6010f5f3833ea4684476cec8536980f7ba07a08ef2dee4f0bb16a303”h2NhNh3Œ
r-alluvial”Œr-base >=4.1,<4.2.0a0”Œr-exposition”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒ„ZhEJ( hFˆubh)”}”(hŒgtkmm24-devel-cos7-x86_64”h#Œ2.24.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6gtkmm24-devel-cos7-x86_64-2.24.5-h9d98e8f_1104.tar.bz2”h+Œ a784f89fc623802a7c5eb2fb684ec3af”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos7-x86_64-2.24.5-h9d98e8f_1104.tar.bz2”h0Œ@112ede6e610fdd0d9c1bac4b7b3fcab625f7a66fb1951943a12ba3a55eada015”h2NhNh3Œ#gtkmm24-cos7-x86_64 ==2.24.5 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}%ÀõÃhEJk‘ hFˆubh)”}”(hŒr-pracma”h#Œ2.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-pracma-2.4.2-r40hc72bb7e_0.tar.bz2”h+Œ a17cb55d052347064736dbb1b43a0099”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pracma-2.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@a79745a3b309065633415952a1c2d637a6c4db3121b946c88d1f05a6940b6866”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØË(Ð½ÒòhEJÚ hFˆubh)”}”(hŒlibxrandr-cos7-ppc64le”h#Œ1.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libxrandr-cos7-ppc64le-1.5.1-h9d98e8f_1104.tar.bz2”h+Œ 289d2615d1bc7b8ffdb46d751a769ff6”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-ppc64le-1.5.1-h9d98e8f_1104.tar.bz2”h0Œ@ba194fa68edcbe6cea6ce6d2567fb07241d576a7b21e204504fe258a017fd3e9”h2NhNh3Œ"libx11-cos7-ppc64le >=1.6.0 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~—hEMœchFˆubh)”}”(hŒhyperas”h#Œ0.4.1”h%Œpyh8c360ce_1”h'Khhh(h)hŒ"hyperas-0.4.1-pyh8c360ce_1.tar.bz2”h+Œ b5a0828a104eaf2ca6b890f7e8c0521d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/hyperas-0.4.1-pyh8c360ce_1.tar.bz2”h0Œ@78c5ebb27ac5a150e97afad3f9fe7c7643e59368f313d1367dd64ab60788e081”h2NhNh3(Œentrypoints”Œhyperopt”Œjupyter”Œkeras”Œ	nbconvert”Œnbformat”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×š` £×hEM{-hFˆubh)”}”(hŒ
pandas-vet”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pandas-vet-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 29d020149a3798b11e6563bdf39c901b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pandas-vet-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@b3a1ad0919aac1e73b7bbda21f2096f20f279c7b4fe462715150e763ac558106”h2NhNh3(Œattrs”Œflake8 >3.0.0”Œpython >=3.6”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØF}¥ãThEM1hFˆubh)”}”(hŒfuncsigs”h#Œ1.0.2”h%Œpy_3”h'Khhh(h)hŒfuncsigs-1.0.2-py_3.tar.bz2”h+Œ 0b5d88c71f11dd77c318ee944b3947db”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/funcsigs-1.0.2-py_3.tar.bz2”h0Œ@911c8936922db8abb1ead814dbab6b9cb74256de1e0292f0a4b7821759bdc6cc”h2NhNh3Œpython”…”h9h?h@Œ
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— hFˆubh)”}”(hŒ	r-moments”h#Œ0.14.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-moments-0.14.1-r41hc72bb7e_1.tar.bz2”h+Œ 39618ddf2600e3a0f2df99eb08fdee5d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-moments-0.14.1-r41hc72bb7e_1.tar.bz2”h0Œ@b9a3d05ac1e455615f6aa0f5731e94efef2813f88d4e492f2631ceff20a7acb1”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐÛ&{hEJ” hFˆubh)”}”(hŒlibxml2-devel-cos7-aarch64”h#Œ2.9.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libxml2-devel-cos7-aarch64-2.9.1-h9b0a68f_105.tar.bz2”h+Œ ead56ef9956d7325a5d8df8a717c24cc”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-aarch64-2.9.1-h9b0a68f_105.tar.bz2”h0Œ@7fbfd0245db13cbbbb6937e9ca35038fcdda6fba2319c8941a5aba2d89e4d4dc”h2NhNh3Œ"libxml2-cos7-aarch64 ==2.9.1 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[8QìhEJÿ‰ hFˆubh)”}”(hŒ	r-multica”h#Œ1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-multica-1.1-r42hc72bb7e_1.tar.bz2”h+Œ e920eb5ebd1f9c5ac81baac9d46d60b9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-multica-1.1-r42hc72bb7e_1.tar.bz2”h0Œ@8ebf064f6039f508ebec8c3185966bfcc9d2e94d1ed522b10cac429a15bc8bbc”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-bitops”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×LÍÆVhEJâ hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyh1d7be83_1”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyh1d7be83_1.tar.bz2”h+Œ 4d2b38be2685f5996a664b2d1c55e84d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyh1d7be83_1.tar.bz2”h0Œ@46054afc5611f94f11c388d5f0b52dc4e4421f3e11d946d38686cfe6db6483f1”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
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r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×èôª½¸hEJ hFˆubh)”}”(hŒ xcb-util-renderutil-cos7-ppc64le”h#Œ0.3.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ<xcb-util-renderutil-cos7-ppc64le-0.3.9-h9d98e8f_1104.tar.bz2”h+Œ 2bea7c432664e3bcea3543b42ffa37f4”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-cos7-ppc64le-0.3.9-h9d98e8f_1104.tar.bz2”h0Œ@ae94127418ac7e46b2359ba8c22a417e7ecbd08adb83d3e2b62cbe139c83eb7d”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓlÃ"ÑhEM€7hFˆubh)”}”(hŒ
r-dygraphs”h#Œ1.1.1.6”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ+r-dygraphs-1.1.1.6-r41hc72bb7e_1003.tar.bz2”h+Œ 7c6f401b9ea093c3e3adcce6fc00116d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-dygraphs-1.1.1.6-r41hc72bb7e_1003.tar.bz2”h0Œ@58dfc2308802cadad103c411937f967df7181111f19d6d7e50dc17c5885b40ba”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.3.5”Œr-htmlwidgets >=0.6”Œ
r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ç‡Ô‹DhEJðI hFˆubh)”}”(hŒdwave-system”h#Œ1.16.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(dwave-system-1.16.0-pyhd8ed1ab_0.tar.bz2”h+Œ f5b2e7ab99ade95d2e064703f18b2d1e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/dwave-system-1.16.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f0987d87d5913d688fde39a0d78dd33ff1ff5f41d415a39d0629beb8a7f7e2ab”h2NhNh3(Œdimod >=0.10.0,<0.13.0”Œ"dwave-cloud-client >=0.9.1,<0.11.0”Œdwave-greedy >=0.2.0”Œdwave-networkx >=0.8.10”Œdwave-preprocessing >=0.3”Œdwave-tabu >=0.4.2”Œhomebase >=1.0.0,<2.0.0”Œminorminer >=0.2.8,<0.3.0”Œnetworkx >=2.0,<3.0”Œnumpy >=1.17.3,<2.0.0”Œpython >=3.7”Œscipy >=1.5.2,<2.0.0”t”h6Œdwave-drivers >=0.4.0,<0.5.0”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØØp¥ŠÀƒhEJê hFˆubh)”}”(hŒr-sda”h#Œ1.3.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-sda-1.3.8-r42hc72bb7e_1.tar.bz2”h+Œ 94ac8c6c916721d7f93c105a3487ed01”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sda-1.3.8-r42hc72bb7e_1.tar.bz2”h0Œ@280fba105eae953f0849a0a00c9798e40328f2b9f31b7cfe9554c00dcf7f2945”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-corpcor >=1.6.8”Œr-entropy >=1.2.1”Œr-fdrtool >=1.2.15”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ£DZhEJp> hFˆubh)”}”(hŒr-ncbit”h#Œ2013.03.29.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-ncbit-2013.03.29.1-r41hc72bb7e_1.tar.bz2”h+Œ 064a16fcde5ca1ef5776f4bcca28ce10”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ncbit-2013.03.29.1-r41hc72bb7e_1.tar.bz2”h0Œ@fc98defc5e5d5a45e380bfa176336f221747d19eca7ef46c8f128aa8c451b642”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐÛVvÉhEJ˜ hFˆubh)”}”(hŒlibice-devel-cos7-ppc64le”h#Œ1.0.9”h%Œ
h1341992_0”h'K hhh(h)hŒ2libice-devel-cos7-ppc64le-1.0.9-h1341992_0.tar.bz2”h+Œ 7f89f4ff0be53696084b2b023917d7ef”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-ppc64le-1.0.9-h1341992_0.tar.bz2”h0Œ@2ecc401c9e68f909b8683d5fc21816e7f2afef59ecce0a9cc03a3f8a313ef5ce”h2NhNh3Œ$libice-cos7-ppc64le 1.0.9 h1341992_0”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×]sñù‡hEMÌšhFˆubh)”}”(hŒr-freesurferformats”h#Œ0.1.17”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ0r-freesurferformats-0.1.17-r41hc72bb7e_0.tar.bz2”h+Œ 45ec05a5b70048081cecbc297b93f87c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-freesurferformats-0.1.17-r41hc72bb7e_0.tar.bz2”h0Œ@5cc45a6b9d66d56ae0f45c36a74205e3df9d6a803907bb7a9110c05e93eea56a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-pkgfilecache >=0.1.1”Œr-rmarkdown”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØØJÔÌÍhEJ~Ø= hFˆubh)”}”(hŒr-assertive.files”h#Œ0.0_2”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ0r-assertive.files-0.0_2-r41hc72bb7e_1004.tar.bz2”h+Œ 66b1d80535aaa5604cfead71b772b13d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.files-0.0_2-r41hc72bb7e_1004.tar.bz2”h0Œ@2124ad592f57c7932f3b0621eb2a2bb19fa1750fa1ec0a2ed8128d6cb0d57676”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.numbers”Œr-base >=4.1,<4.2.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐéèÔ›¦hEJÁR hFˆubh)”}”(hŒdjango-countries”h#Œ7.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)django-countries-7.3-pyhd8ed1ab_0.tar.bz2”h+Œ c3111fc0d2f2fb27c25d8dd5230b6019”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/django-countries-7.3-pyhd8ed1ab_0.tar.bz2”h0Œ@859f907d95854043bab803280222062caae4ee587c666c589c06564cf5628231”h2NhNh3Œdjango >=1.11,<3.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ‡K!‡hEJíû hFˆubh)”}”(hŒr-simpleboot”h#Œ1.1_7”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ(r-simpleboot-1.1_7-r41hc72bb7e_3.tar.bz2”h+Œ c2de63f4481e78bdb5542cc6978e04bb”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-simpleboot-1.1_7-r41hc72bb7e_3.tar.bz2”h0Œ@2ab93a1a733d447ec9411362551e87a4354934f2d4c3b498b06328bedf4840dc”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-boot”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒS‹ohEJŠA hFˆubh)”}”(hŒgraphql-server-core”h#Œ2.0.0”h%Œpyh8c360ce_0”h'K hhh(h)hŒ.graphql-server-core-2.0.0-pyh8c360ce_0.tar.bz2”h+Œ 6739614686b6ce837d22758d1fd0971c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/graphql-server-core-2.0.0-pyh8c360ce_0.tar.bz2”h0Œ@8bf5b799da269702a868f22cdbe8d8cbdecfa850ea5154bbf4dbc5a6ccd9cb2a”h2NhNh3Œgraphql-core >=2.3,<3”Œpromise >=2.3,<3”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×œVœXr°hEM>(hFˆubh)”}”(hŒr-noisefiltersr”h#Œ0.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ+r-noisefiltersr-0.1.0-r36h6115d3f_0.tar.bz2”h+Œ ab585dc9b14cf6109cb0fc9e228877c2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-noisefiltersr-0.1.0-r36h6115d3f_0.tar.bz2”•       h0Œ@ba3e0194fe9ccf04c7bdc92c004cbaa153b7d787644ce7ac480952e816f7370d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-caret”Œr-e1071”Œr-kknn”Œr-mass”Œr-nnet”Œr-randomforest”Œr-rjava”Œr-rpart”Œr-rweka”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×´–;HbhEJÏç hFˆubh)”}”(hŒlibxdamage-cos7-x86_64”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ2libxdamage-cos7-x86_64-1.1.4-h1795305_1101.tar.bz2”h+Œ b0f0a2b87d4009bea6902ac44596fd81”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-x86_64-1.1.4-h1795305_1101.tar.bz2”h0Œ@0d33225689642656f60be58a53ec187098effd596e6268ffdecb915562aa4cd9”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&"ÁxÕhEMü@hFˆubh)”}”(hŒlibtiff-cos7-ppc64le”h#Œ4.0.3”h%Œha826a6f_103”h'Kghhh(h)hŒ/libtiff-cos7-ppc64le-4.0.3-ha826a6f_103.tar.bz2”h+Œ 9db7555aa0be0bfc27583f22a6c6cad2”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-ppc64le-4.0.3-ha826a6f_103.tar.bz2”h0Œ@b73556899dce7062cc2a2e9506f59de137f1716d08c0bc089c1379245424d136”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@Œlibtiff”hBŒOther”hDGA×Æ/ó×
hEJcá hFˆubh)”}”(hŒ	r-rentrez”h#Œ1.2.3”h%Œr40h785f33e_0”h'K hhh(h)hŒ%r-rentrez-1.2.3-r40h785f33e_0.tar.bz2”h+Œ 304bd3f48690f32f30938fe30fbe7aac”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rentrez-1.2.3-r40h785f33e_0.tar.bz2”h0Œ@ba15c1192dd2ee073ecfdd0f83acd04c0634105be78902974e1b43fa573903b0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-httr >=0.5”Œr-jsonlite >=0.9”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ë1   hEJÀ: hFˆubh)”}”(hŒjavapackages-tools-cos7-x86_64”h#Œ3.4.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:javapackages-tools-cos7-x86_64-3.4.1-h9d98e8f_1104.tar.bz2”h+Œ 7a7dd2cb97bb77f002cdc4ae07134e86”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-x86_64-3.4.1-h9d98e8f_1104.tar.bz2”h0Œ@c97f2c724e79df86fbe5ef5abaeba43fde624f48ccefa3a7829301c703f823a9”h2NhNh3Œ.python-javapackages-cos7-x86_64 ==3.4.1 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×É}+ÌÍhEMÜÜhFˆubh)”}”(hŒ
r-gwidgets”h#Œ0.0_54.2”h%Œr36_0”h'K hhh(h)hŒ!r-gwidgets-0.0_54.2-r36_0.tar.bz2”h+Œ a7d80848ac134b0863347d7fede75990”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets-0.0_54.2-r36_0.tar.bz2”h0Œ@7e89f40aadfde5aedec661c6e71cdf50a80b32aaf8a0bd57bc1465f9847bf837”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ªE—   hEJ5š hFˆubh)”}”(hŒ
r-incadata”h#Œ0.9.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-incadata-0.9.1-r40h6115d3f_1.tar.bz2”h+Œ 2ce8495a15a65ad6ad5ffafc1b80a0d9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-incadata-0.9.1-r40h6115d3f_1.tar.bz2”h0Œ@c4622424e5a799dd21951c18c5a0683ed64e1db34e75f07ae1545aeeac709e65”h2NhNh3(Œr-backports”Œr-base >=4.0,<4.1.0a0”Œ	r-decoder”Œr-dplyr”Œr-rvest”Œr-sweidnumbr”Œr-xml2”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬¹$ZhEJšm hFˆubh)”}”(hŒlibrdmacm-cos6-x86_64”h#Œ1.0.21”h%Œh2da7399_1100”h'MLhhh(h)hŒ2librdmacm-cos6-x86_64-1.0.21-h2da7399_1100.tar.bz2”h+Œ c4e1e09de3bd944467fb560bd54da83e”h.Œ`https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos6-x86_64-1.0.21-h2da7399_1100.tar.bz2”h0Œ@7476397e6531eacdf55bee024453e8f7890f574956d41beb80196ae97d264a22”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Ä·l+÷ÏhEM­øhFˆubh)”}”(hŒ	ryvencore”h#Œ0.3.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ryvencore-0.3.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 9b1bcc0babe0fe6eea64ec6b275c2c73”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ryvencore-0.3.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@8303131c3cca80e6ea92b34ef093637f14ad7739dc975f4449757522fdebfce4”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-2.1-only”hDGAØÔáiôÌÍhEMK†hFˆubh)”}”(hŒlibxxf86vm-devel-cos7-ppc64le”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ9libxxf86vm-devel-cos7-ppc64le-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ 53e2db68f0fdb381d43768abd93e3a30”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-ppc64le-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@4e3bab25b712213791a3ea3d568d4426e12e774f315b9129d592f63f888f4b74”h2NhNh3Œ&libxxf86vm-cos7-ppc64le ==1.1.4 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‘£!Û#hEM1hFˆubh)”}”(hŒdjango-keyedcache3”h#Œ1.5.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-django-keyedcache3-1.5.4-pyhd8ed1ab_1.tar.bz2”h+Œ 2790b3feec06af135f55290dbdf1ba8f”h.Œ[https://conda.anaconda.org/conda-forge/noarch/django-keyedcache3-1.5.4-pyhd8ed1ab_1.tar.bz2”h0Œ@d7028cd70f4b26e0bca6a08a745e396be452238ad94b6cce3d5477aee5eb869a”h2NhNh3Œdjango >=1.11,<3.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ}
E~‡+hEMKVhFˆubh)”}”(hŒdjangorestframework-csv”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2djangorestframework-csv-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2b85ff6ab32a1fe8399b14a98d8398df”h.Œ`https://conda.anaconda.org/conda-forge/noarch/djangorestframework-csv-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@278739ba819bd45ecab8db03a9c04ea827dcebd973ab72c994d49e76e5b7e32c”h2NhNh3(Œdjangorestframework”Œpython >=3.6”Œsix”Œ
unicodecsv”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ(¹ 1'hEMý.hFˆubh)”}”(hŒlibxau-devel-cos7-x86_64”h#Œ1.0.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4libxau-devel-cos7-x86_64-1.0.8-hdf0574f_1102.tar.bz2”h+Œ 8ae1cfc5549a8ded654ea3dbef38121b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos7-x86_64-1.0.8-hdf0574f_1102.tar.bz2”h0Œ@48202532de830278846403b31b7a45913b2dc3b0ead53591a2af00b4b8620da8”h2NhNh3Œ!libxau-cos7-x86_64 ==1.0.8 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ’bhEMœ#hFˆubh)”}”(hŒstormevents”h#Œ1.3.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(stormevents-1.3.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 7aae997d4ab9a039180b2671006c03b0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/stormevents-1.3.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@875ba2300da846479161a34baba307412b8847e5fea5405177cf44b9a66ee92c”h2NhNh3(Œbeautifulsoup4”Œ	geopandas”Œnetcdf4”Œnumpy”Œpandas”Œpyproj >=2.6”Œpython >=3.6”Œpython-dateutil”Œrequests”Œshapely”Œtypepigeon >=1.0.5”Œxarray”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ—n•È´hEMHÝhFˆubh)”}”(hŒrabpro”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!rabpro-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 79b2f8a56e2990a964e4be19adb802d6”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/rabpro-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c2a16ae9c0c078b63214bd0f183c3d4ae7bdcccea4775ccaa805c0cfe5294e38”h2NhNh3(Œappdirs”Œbeautifulsoup4”Œcolorama”Œearthengine-api”Œgdown”Œgeopandas >=0.7.0”Œnumpy”Œpyproj”Œpython >=3.7”Œrequests”Œscikit-image”Œshapely”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¥Ø´üZhEM\¼hFˆubh)”}”(hŒlibthai-cos7-aarch64”h#Œ0.1.14”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libthai-cos7-aarch64-0.1.14-h9b0a68f_105.tar.bz2”h+Œ c6fc450fa1c32c0b8e39e68894884784”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-aarch64-0.1.14-h9b0a68f_105.tar.bz2”h0Œ@d204807e0e62184bac66c4726fabab595f050381238459d3a54ff85df92ade5b”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@VÄé&éhEJâp hFˆubh)”}”(hŒr-rattle”h#Œ5.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-rattle-5.5.1-r42hc72bb7e_1.tar.bz2”h+Œ 12f9872a5de2e938adf2750e86e78ec3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rattle-5.5.1-r42hc72bb7e_1.tar.bz2”h0Œ@69c98b2768edd2481d3b7e8006796e57bca759999e25be9aef4e484d16c7b306”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bitops”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-rpart.plot”Œ	r-stringi”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ(LÕ?}hEJµ` hFˆubh)”}”(hŒr-ggsn”h#Œ0.5.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ"r-ggsn-0.5.0-r40h6115d3f_2.tar.bz2”h+Œ f813457e5c796cec0cf521a8afd00b7b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggsn-0.5.0-r40h6115d3f_2.tar.bz2”h0Œ@1e76b859bfb563c9a93185029ad6769d83e81e8dc039c4272eb39e22d9e83114”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggmap”Œ	r-ggplot2”Œ
r-maptools”Œr-png”Œr-sf”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­SãThEJV½
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r-jsonlite”Œr-lifecycle”Œ
r-progress”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ÷C=hEJ²Ä hFˆubh)”}”(hŒcoreapi-cli”h#Œ1.0.9”h%Œpy_0”h'K hhh(h)hŒcoreapi-cli-1.0.9-py_0.tar.bz2”h+Œ 5eabd90f78872693762244e93e16988c”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/coreapi-cli-1.0.9-py_0.tar.bz2”h0Œ@254dd205b419731c0b6f8c726eda479a9e3fc19fc3f0b5130712a2ce22ba495b”h2NhNh3Œclick”Œpython”Œpython-coreapi”‡”h9h?h@ŒBSD”hBŒBSD”hDGAÖÂ?Û#hEM1hFˆubh)”}”(hŒr-networkcomparisontest”h#Œ2.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ3r-networkcomparisontest-2.2.1-r41hc72bb7e_0.tar.bz2”h+Œ 5cb286d6ee680ecca81564d26896df03”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-networkcomparisontest-2.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@87d6defff7ec2f048a5ef773861953458a16c3435a3ff7215e8d7f938f7ceb9d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-isingfit”Œr-isingsampler”Œr-matrix”Œr-qgraph”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×%QòKt¼hEMÑ™hFˆubh)”}”(hŒlibxxf86vm-devel-cos6-x86_64”h#Œ1.1.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ8libxxf86vm-devel-cos6-x86_64-1.1.3-h9d98e8f_1104.tar.bz2”h+Œ 0693a6a2ba96199f4fb28cc4adbaf18d”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos6-x86_64-1.1.3-h9d98e8f_1104.tar.bz2”h0Œ@db560b764a782fa3e00954fdad82d43278db46de7e2364227e2149dffd55746c”h2NhNh3Œ%libxxf86vm-cos6-x86_64 ==1.1.3 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~ùžVhEMI0hFˆubh)”}”(hŒ libxcomposite-devel-cos7-ppc64le”h#Œ0.4.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ<libxcomposite-devel-cos7-ppc64le-0.4.4-h9d98e8f_1104.tar.bz2”h+Œ 5f6000617ac7dae002e246133144c2e2”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos7-ppc64le-0.4.4-h9d98e8f_1104.tar.bz2”h0Œ@f26ac61b854b6cbc3d76b26f1bd35aa4b9f7b6fee4f4b3538aa02fea96f38c3a”h2NhNh3Œ)libxcomposite-cos7-ppc64le ==0.4.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ž‡+hEMü-hFˆubh)”}”(hŒentry-points-txt”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+entry-points-txt-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ e4afb4998b984c8b445c9744d2f48619”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/entry-points-txt-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@383f64e145aa3fb4b9f328060d5a5c94a878201aa18bc431457b9df1c7dd0d18”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ‰³C–hEMÊ'hFˆubh)”}”(hŒ python-javapackages-cos7-aarch64”h#Œ3.4.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ<python-javapackages-cos7-aarch64-3.4.1-hdf0574f_1102.tar.bz2”h+Œ 46ebd14295cff58a490a27fe09c7077b”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-aarch64-3.4.1-hdf0574f_1102.tar.bz2”h0Œ@05e206377a51970457afa468bd3737ae6a27eeb804bf7e59efb5d966de0d876e”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ:ÎùÛhEMç/hFˆubh)”}”(hŒmultisplitby”h#Œ0.0.1”h%Œpy_0”h'K hhh(h)hŒmultisplitby-0.0.1-py_0.tar.bz2”h+Œ 8be1acce62bf40b0dcdad86cff1b4a61”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/multisplitby-0.0.1-py_0.tar.bz2”h0Œ@1935c70d7a227a3928d6870bf0437248865e616f67217272d56a566f55475033”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGA×fçpíVhEM
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setuptools”Œshapely”t”h9h?h@ŒBSD 3-Clause”hDGAÖÐÒÃÀbNhEMGhFˆubh)”}”(hŒr-sjmisc”h#Œ2.8.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-sjmisc-2.8.9-r41hc72bb7e_0.tar.bz2”h+Œ 797facbad78cad917b334556360cc358”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sjmisc-2.8.9-r41hc72bb7e_0.tar.bz2”h0Œ@6b26250b8651b453a26c358a14dc7e91f533a2e84afc6ea7384eea78832eccfa”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.8.0”Œr-haven >=1.1.2”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-sjlabelled >=1.0.17”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØj…)¹ûçhEJ•e hFˆubh)”}”(hŒ	r-cnogpro”h#Œ1.1”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ&r-cnogpro-1.1-r40ha770c72_1002.tar.bz2”h+Œ 69f82f76f4d8ce32cac3b88eb3ddd139”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cnogpro-1.1-r40ha770c72_1002.tar.bz2”h0Œ@1f73672d4566222082538fc4ce09749794e94069aa9cb9cab426a269754b9122”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-seqinr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+iç~E¢hEJ)Ê hFˆubh)”}”(hŒorch”h#Œ0.4.4”h%Œpy_0”h'K hhh(h)hŒorch-0.4.4-py_0.tar.bz2”h+Œ 1ff276ebf652f2078cd4873e046243db”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/orch-0.4.4-py_0.tar.bz2”h0Œ@19cef5ee691653c786fb7339e3dc99edbcc85440756176421d1836101a968098”h2NhNh3(Œlazyasd”Œ
python >=3”Œpyyaml”Œxonda”Œxonsh”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×N"yc…hEMšhFˆubh)”}”(hŒr-ips”h#Œ0.0.11”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-ips-0.0.11-r35h6115d3f_0.tar.bz2”h+Œ 9aa02379558ee3d656adfee63b58d087”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ips-0.0.11-r35h6115d3f_0.tar.bz2”h0Œ@74fb494cdbf2737c5e80ba09fbeb8a596bbd87a5e45c00f1d9c4a85849a72656”h2NhNh3(Œr-ape”Œr-base >=3.5,<3.6.0a0”Œ
r-phangorn”Œr-plyr”Œr-seqinr”Œr-xml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×k²Iº^hEJ¶‹ hFˆubh)”}”(hŒnosqlapi”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#nosqlapi-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 02413bda7736a8572ac557d958a7f2d0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/nosqlapi-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0d26f3c3ae101bfcb64835f66d216f2290d44ef474b3282112ceda90e5611ed2”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ®yk­p¤hEMñ©hFˆubh)”}”(hŒflask-multipass”h#Œ0.4.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*flask-multipass-0.4.9-pyhd8ed1ab_0.tar.bz2”h+Œ f4fe5c3d2672c5c9efeda317a2b4e41b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/flask-multipass-0.4.9-pyhd8ed1ab_0.tar.bz2”h0Œ@2236c854403d9339fe8d87eaf34dd4eedcb37d49cedbbb84ea3ddd4c1cd6aa55”h2NhNh3(Œauthlib >=0.14.1,<=1.0.0a1”Œblinker”Œflask >=0.10.1”Œ	flask-wtf”Œpython >=3.6”Œpython-ldap >=3.3.1,<4.0”Œ
sqlalchemy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÍýÏ–ùÛhEM:{hFˆubh)”}”(hŒr-parcor”h#Œ0.2_6”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ'r-parcor-0.2_6-r35h6115d3f_1001.tar.bz2”h+Œ 7a3886431b94ebaa5dbbb233913893be”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parcor-0.2_6-r35h6115d3f_1001.tar.bz2”h0Œ@449e73429aed20feb7511c32f116d3c5830aec0b7cff9c4dd070416e069405e8”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-epi”Œ	r-genenet”Œr-glmnet”Œr-mass”Œr-ppls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÉðÅ?}hEJãD hFˆubh)”}”(hŒr-turfr”h#Œ0.8_7”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ#r-turfr-0.8_7-r36hc72bb7e_0.tar.bz2”h+Œ 453c8d21443c29290df45b9c199a431f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-turfr-0.8_7-r36hc72bb7e_0.tar.bz2”h0Œ@28915ce9cfb955dff012710ec3b0625056e17e030f07c5498705834c3f960827”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-dplyr >=0.3.0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØQÉaxÕhEMÞhFˆubh)”}”(hŒobjectgraph”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&objectgraph-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 51b4bf3195b380dac907fa56185c1c22”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/objectgraph-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@1e2b0b9d0266d143dabc2fe549262c193c42f8574bcc03d3084ff97658c37d53”h2NhNh3Œpython >=3.6,<4.0”Œtyping_extensions”†”h9h?h@ŒMIT”hBŒMIT”hDGAØO&…ÉÛ#hEMû!hFˆubh)”}”(hŒpcre-cos7-aarch64”h#Œ8.32”h%Œh9b0a68f_105”h'Kihhh(h)hŒ+pcre-cos7-aarch64-8.32-h9b0a68f_105.tar.bz2”h+Œ 8162bd3a2b798345e044220a7e11e410”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pcre-cos7-aarch64-8.32-h9b0a68f_105.tar.bz2”h0Œ@5f3e17e3019d24cfca5d7ee54a2f77776892de7082b0d1fbfb495ed2148e67f6”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@VCŽvÉhEJþõ hFˆubh)”}”(hŒpygmailsorter”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pygmailsorter-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 70410ee4fa51515582d29b13d36bb3a5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pygmailsorter-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@2da35e19e4be270cfde47b755d73ac636669532df43680208d3613fbe65a69d4”h2NhNh3(Œ!google-api-python-client >=2.65.0”Œgoogle-auth >=2.13.0”Œgoogle-auth-oauthlib >=0.7.0”Œnumpy >=1.23.4”Œpandas >=1.5.1”Œpython >=3.7”Œscikit-learn >=1.1.3”Œsqlalchemy >=1.4.42”Œtqdm >=4.64.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ×¦["ÑhEMIRhFˆubh)”}”(hŒlibxxf86vm-devel-cos7-ppc64le”h#Œ1.1.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ8libxxf86vm-devel-cos7-ppc64le-1.1.4-hdf0574f_102.tar.bz2”h+Œ bc137a03c0f2dd29b4939acfda08c22f”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-ppc64le-1.1.4-hdf0574f_102.tar.bz2”h0Œ@9660b62c75777799c2415ac1203b22c2755ba2e70cfc1d14629bce0ce60b3196”h2NhNh3Œ%libxxf86vm-cos7-ppc64le ==1.1.4 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+¹Ç®hEMÓ-hFˆubh)”}”(hŒr-laplacesdemon”h#Œ16.1.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-laplacesdemon-16.1.6-r41hc72bb7e_0.tar.bz2”h+Œ 9b1480b55944dc10e520f230d9253e19”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-laplacesdemon-16.1.6-r41hc72bb7e_0.tar.bz2”h0Œ@38defdd3e19a2c4330c6eeb3388e24c8c756bd10c312c400a62f6a7361908837”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ:&'®hEJ›= hFˆubh)”}”(hŒ	rb-wisper”h#Œ2.0.1”h%Œ
h5df7e58_2”h'Khhh(h)hŒ"rb-wisper-2.0.1-h5df7e58_2.tar.bz2”h+Œ b70cec59631831c351638f2c15e6987f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-wisper-2.0.1-h5df7e58_2.tar.bz2”h0Œ@71d1e028aaadada3688b8df74e2f9ee01cc8aaf1aac81009deb398e731cfac55”h2NhNh3Œruby >=2.6.6,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØeöXhEMˆ¹hFˆubh)”}”(hŒr-mxmmod”h#Œ1.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-mxmmod-1.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 8b26b0f96a40b85d6d3230f05955c34d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mxmmod-1.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@76db339d2ac4ca48b36259d819991aac6ee74f05423bfdf295b619342e2de3e7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-openmx”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÒFÝ‹DhEJ/ hFˆubh)”}”(hŒflask-principal”h#Œ0.4.0”h%Œpy_1”h'Khhh(h)hŒ"flask-principal-0.4.0-py_1.tar.bz2”h+Œ 3c8317834a07f9adf2d65637f4b71dff”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/flask-principal-0.4.0-py_1.tar.bz2”h0Œ@fef057b3c84a68e79044642005dd00cfc4bcb429cdae3a7a9fef821161ed3a24”h2NhNh3Œflask”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÕ®1FÙhEMþhFˆubh)”}”(hŒ
r-cpgassoc”h#Œ2.60”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-cpgassoc-2.60-r40h6115d3f_1.tar.bz2”h+Œ a87a3e49cfe3dbb392232a2cc1c5a326”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cpgassoc-2.60-r40h6115d3f_1.tar.bz2”h0Œ@20234ffe8ee55cc0f1f9fb2da8af2a0a0d7184f1e5c9ebe6ae7bbc00839b47c1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-nlme”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯–dí‘hEJ4! hFˆubh)”}”(hŒ	r-ggmulti”h#Œ1.0.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-ggmulti-1.0.6-r42hc72bb7e_0.tar.bz2”h+Œ 2fbfc0704d926a1dfaabbd9c485eb274”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggmulti-1.0.6-r42hc72bb7e_0.tar.bz2”h0Œ@6d807ed183bc2476b2aa780654aec2ab61b3c2e0d911fbb324f13bb1cd7af82e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÚÃ“C–hEJC * hFˆubh)”}”(hŒmordred”h#Œ1.2.0”h%Œpy_0”h'K hhh(h)hŒmordred-1.2.0-py_0.tar.bz2”h+Œ 2638a1e6b9672528d135887e2781fe30”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/mordred-1.2.0-py_0.tar.bz2”h0Œ@1fd9ee147be76865d926bc704c4ffac7af7dc3ff668fd22a76f2198faabc999b”h2NhNh3(Œnetworkx”Œnumpy”Œpython >=3.6,<3.7.0a0”Œrdkit”Œsix”Œtqdm 4.*”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×XNÀª¬hEJ¬ï hFˆubh)”}”(hŒmorphotactics”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(morphotactics-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ f86747f8932664124c38bed2cb18c71a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/morphotactics-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@627b5c6e4b2c80052d146afe333579ee9e8bb4e67fe83517d15124a299f92237”h2NhNh3Œopenfst”Œpynini”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØpÝec¥ãhEMœ[hFˆubh)”}”(hŒopensm-cos7-aarch64”h#Œ3.3.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/opensm-cos7-aarch64-3.3.21-h9b0a68f_105.tar.bz2”h+Œ d5bf8dd2fee4f4e9e128d2c6998bc6bc”h.Œ]https://conda.anaconda.org/conda-forge/noarch/opensm-cos7-aarch64-3.3.21-h9b0a68f_105.tar.bz2”h0Œ@03da7bf25a03d0d2b196d4a6562e06afa3c075b3a66d643a437ad3406a4dba6a”h2NhNh3Œ'opensm-libs-cos7-aarch64 ==3.3.21 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJ0÷
=hEJV™ hFˆubh)”}”(hŒpyolog”h#Œ4.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pyolog-4.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ c54b2a87ffacbc954d2a3e1bc8c4490d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyolog-4.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e1063f83e726a0e51476c405fd4571bcb1a71b1a65a5a54edcdd99dcbd4c371a”h2NhNh3(Œipython”Œkeyring”Œpython >=3.6”Œrequests”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØzK°A‰hEMþVhFˆubh)”}”(hŒfontconfig-cos6-x86_64”h#Œ2.8.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2fontconfig-cos6-x86_64-2.8.0-h9d98e8f_1104.tar.bz2”h+Œ 78492cfefbed7fbd0450b077bde544ad”h.Œ`https://conda.anaconda.org/conda-forge/noarch/fontconfig-cos6-x86_64-2.8.0-h9d98e8f_1104.tar.bz2”h0Œ@f3a09ffa9c964823c2bc133285468597b595b9f7f82f3027ed16e32e3bcbc125”h2NhNh3Œ#freetype-cos6-x86_64 >=2.1.4 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É{m®hEJžÑ hFˆubh)”}”(hŒ	r-polynom”h#Œ1.4_1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-polynom-1.4_1-r40hc72bb7e_0.tar.bz2”h+Œ 4c162c16ddbd8db8d35da12d48580bd7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-polynom-1.4_1-r40hc72bb7e_0.tar.bz2”h0Œ@b0c010d8a7af6ea4f7b6156700de179992f9f95af30700f7511f1b67a6e709d7”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ”òN•hEJ’Ê hFˆubh)”}”(hŒr-varimp”h#Œ0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-varimp-0.4-r41hc72bb7e_0.tar.bz2”h+Œ 91174aa04bb5b6993128dda2b263eabe”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-varimp-0.4-r41hc72bb7e_0.tar.bz2”h0Œ@d030df42d040a1762cca04b8e7a5342b2224545035766b8637cc87f6effb3729”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
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six >=1.16”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÊ 
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O hFˆubh)”}”(hŒeofs”h#Œ1.4.0”h%Œpy_0”h'K hhh(h)hŒeofs-1.4.0-py_0.tar.bz2”h+Œ 6e166cd37cfeadefcfca1ffe00f222bb”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/eofs-1.4.0-py_0.tar.bz2”h0Œ@dd6eb252e3f4d20741d4a21955622f9c5f5e68d9138d43c3c48e21177240eea1”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒGPL-3.0”hDGA×3–£SøhEJUœ hFˆubh)”}”(hŒ	r-candisc”h#Œ0.8_6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-candisc-0.8_6-r41hc72bb7e_1.tar.bz2”h+Œ 155b1a3d3fef258c693a8d7ad5abb0c2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-candisc-0.8_6-r41hc72bb7e_1.tar.bz2”h0Œ@9ae17a0cca721638b79b97abff15ece490f0491577b7070eff18dbdef657067b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-car”Œr-heplots >=0.8_6”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓhòyë…hEJƒÊ hFˆubh)”}”(hŒrhos”h#Œ0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒrhos-0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0a6ab52fc77d40366b257c7000724ce3”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/rhos-0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@497e9adcef8605071e4996d58031f0e887c6eff891e50abfc5d538f8a37226fc”h2NhNh3Œnumpy”Œpython >=3.7”Œscipy”‡”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ¸øpƒhEMS/hFˆubh)”}”(hŒr-manipulatewidget”h#Œ0.11.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ/r-manipulatewidget-0.11.1-r40hc72bb7e_0.tar.bz2”h+Œ ea47239d2cbe353431969e075a932af8”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-manipulatewidget-0.11.1-r40hc72bb7e_0.tar.bz2”h0Œ@bf73cd2fece36ef66230eaafa626c01226a94ce01d3cebb34d3a9fae0854eda7”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-codetools”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-miniui”Œr-shiny >=1.0.3”Œ	r-shinyjs”Œ	r-webshot”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØWj‘hhEJT}& hFˆubh)”}”(hŒr-bc3net”h#Œ1.0.4”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-bc3net-1.0.4-r40h6115d3f_1.tar.bz2”h+Œ 7a297621fdb5e8a64afd3d24533cb559”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bc3net-1.0.4-r40h6115d3f_1.tar.bz2”h0Œ@4c77a356c4d455ebdbfb2462799874222ccc224abd4e045a581a66ed2d5f278e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-c3net”Œr-igraph”Œ
r-infotheo”Œ	r-lattice”Œr-matrix”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­@Ù%hEJä€ hFˆubh)”}”(hŒlibxi-devel-cos6-x86_64”h#Œ1.7.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libxi-devel-cos6-x86_64-1.7.8-h9b0a68f_105.tar.bz2”h+Œ c6430db63593cab429b5ef72edf5a489”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos6-x86_64-1.7.8-h9b0a68f_105.tar.bz2”h0Œ@29f65fae4313ea1f7129d4ccd8ada80d8b54cbf898d6d5e4e0d8c38bbb2c6d5c”h2NhNh3Œlibxi-cos6-x86_64 ==1.7.8 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[¸e?}hEJEv hFˆubh)”}”(hŒpudb”h#Œ2022.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pudb-2022.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 0a9fdb31b096a0109a653224e4c30831”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pudb-2022.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@ab530dc3145061a60f9d4ae8089ced71f5c5a567f4bb450d9b8091d2704ab577”h2NhNh3(Œjedi >=0.18”Œpygments >=2.7.4”Œpython >=3.6”Œurwid >=1.1.1”Œurwid_readline”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÙ3rMÓhEM¥ðhFˆubh)”}”(hŒmatplotview”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&matplotview-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ da7d5175d9203c0e8e934e7788c216c3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/matplotview-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@190014aae67b5768952971d20819023a227e3cbd0507ad27bfda3ed29372642f”h2NhNh3Œmatplotlib-base >=3.5.1”Œnumpy”Œpython >=3.7”‡”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAØÊ‰Š=qhEMu?hFˆubh)”}”(hŒwebkitgtk-devel-cos6-x86_64”h#Œ1.4.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ7webkitgtk-devel-cos6-x86_64-1.4.3-hdf0574f_1102.tar.bz2”h+Œ f7626f3c8bf49a49de6a224e75a638e0”h.Œehttps://conda.anaconda.org/conda-forge/noarch/webkitgtk-devel-cos6-x86_64-1.4.3-hdf0574f_1102.tar.bz2”h0Œ@7adecea5a55df32b151d4bd39733d51a56fed1a693e19b58d848aa7e94089cdd”h2NhNh3Œsysroot_linux-64 2.12.*”Œ$webkitgtk-cos6-x86_64 ==1.4.3 *_1102”†”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGA×ÅáØº¬hEJü hFˆubh)”}”(hŒr-testextra”h#Œ0.1.0.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-testextra-0.1.0.1-r41hc72bb7e_2.tar.bz2”h+Œ 4fd069fe6e9d2e04e3c16b7ad5e537a6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-testextra-0.1.0.1-r41hc72bb7e_2.tar.bz2”h0Œ@49b7068356b885f521c2b9434a944e71f2ea08dba4a2aa726bc04e7d0a38106b”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-parsetools”Œ	r-pkgcond”Œr-postlogic”Œr-purrr”Œr-rlang”Œ	r-stringi”Œ
r-testthat”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑEó)&éhEJÎÌ hFˆubh)”}”(hŒbiggus”h#Œ0.15.0”h%Œpy_1”h'Khhh(h)hŒbiggus-0.15.0-py_1.tar.bz2”h+Œ 39560df8caa4568b5384d4e71e3d44fe”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/biggus-0.15.0-py_1.tar.bz2”h0Œ@8c4c7b2506cced871199d251882c504a4edabb50bbe18941d426efa23a956a4f”h2NhNh3Œnumpy”Œpython”Œsix”‡”h9h?h@ŒLGPL-3.0”hDGAÖÒ¢›5¸hEMîÉhFˆubh)”}”(hŒglib-networking-cos7-ppc64le”h#Œ2.56.1”h%Œha826a6f_103”h'Kghhh(h)hŒ8glib-networking-cos7-ppc64le-2.56.1-ha826a6f_103.tar.bz2”h+Œ 5b74e3e29a7976bb45921c000ba60d2d”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/glib-networking-cos7-ppc64le-2.56.1-ha826a6f_103.tar.bz2”h0Œ@4d2f3a71d979c8f1cb6cfd457a375b832cc2f3e176cd2e04940838004aeaee60”h2NhNh3Œ!glib2-cos7-ppc64le >=2.55.1 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{Í‘hhEJFL hFˆubh)”}”(hŒr-dictionar6”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-dictionar6-0.1.3-r41hc72bb7e_0.tar.bz2”h+Œ 8f8e2b0d32fb3f31ffd70e00c2dd6436”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dictionar6-0.1.3-r41hc72bb7e_0.tar.bz2”h0Œ@9aa590807513c2ba3b2998e482880aba50e68cd13080cb12aded6265892ff056”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ooplah”Œr-r6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØOÈæ¼‹DhEJ?m hFˆubh)”}”(hŒjupyter-dash”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'jupyter-dash-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3bab002e64850f82944da86da12d975b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/jupyter-dash-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@8acf857a88363b9519bbb0d02ca949c5248a171e82b546d8662b438979a24617”h2NhNh3(Œ	ansi2html”Œdash”Œflask”Œ	ipykernel”Œipython”Œpython >=3.5”Œrequests”Œretrying”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‘ãþ—PhEM¹QhFˆubh)”}”(hŒr-rebus.base”h#Œ0.0_3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ+r-rebus.base-0.0_3-r41hc72bb7e_1003.tar.bz2”h+Œ fd77c0fe3c707c7fc6898fb6df6bbebe”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.base-0.0_3-r41hc72bb7e_1003.tar.bz2”h0Œ@d7793b36c8fd02df8ab3df9fd50a599698c85834f5674a70b7c5fb9cdbcda96b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ	Unlimited”hDGAØÑRohEJÕr hFˆubh)”}”(hŒ
catkin_pkg”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%catkin_pkg-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 023308d75d557ab1ce66bf99a2988d9b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/catkin_pkg-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@fbb30218baeceeabaa49fcd3e053b928899d4f78fb5dea131ee550de3e377d42”h2NhNh3(Œdocutils”Œpyparsing >=1.5.7”Œpython >=3.6”Œpython-dateutil”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¤bnFVhEMÇhFˆubh)”}”(hŒvisvis”h#Œ1.11.1”h%Œpy_0”h'K hhh(h)hŒvisvis-1.11.1-py_0.tar.bz2”h+Œ 165e37941613dbd1ee752f61b7d66575”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/visvis-1.11.1-py_0.tar.bz2”h0Œ@5a24c28bd89800c402d9ce04a421884b46f6e153593c9308f4bc97aa3ad9f3bf”h2NhNh3Œnumpy”Œpyopengl”Œpython”‡”h9h?h@ŒBSD 3-Clause”hEJ¯™J hFˆubh)”}”(hŒ	pyvisfile”h#Œ2022.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pyvisfile-2022.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 934c621995157a8a852a501b598832d1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pyvisfile-2022.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@191bf45f93982bb6267fe01a362a8f09a52cd209b74c2d9ebd8b7180f69541ac”h2NhNh3Œnumpy”Œpython >=3.6”Œpytools”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØžx_qÊÁhEM	dhFˆubh)”}”(hŒp11-kit-trust-cos7-aarch64”h#Œ0.23.5”h%Œha826a6f_103”h'Kghhh(h)hŒ6p11-kit-trust-cos7-aarch64-0.23.5-ha826a6f_103.tar.bz2”h+Œ c75fe4fdf16133d85981a7a229128c77”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-aarch64-0.23.5-ha826a6f_103.tar.bz2”h0Œ@172d9dadf001307e810ccfe9a9e04e0af877bffe66fc80b1691340165e48555b”h2NhNh3Œ#p11-kit-cos7-aarch64 ==0.23.5 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ0axÕhEJé] hFˆubh)”}”(hŒr-readbitmap”h#Œ0.1.5”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-readbitmap-0.1.5-r36h6115d3f_1.tar.bz2”h+Œ f9ce0efd6baff4dbcfb665280f1e6ddc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-readbitmap-0.1.5-r36h6115d3f_1.tar.bz2”h0Œ@4fa0d69b441cb6b56ed40b722b718d8f788fc1fcb85815bbd30f3d668bc121ea”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-bmp”Œr-jpeg”Œr-png”Œr-tiff”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L¸˜ßKÇhEM½uhFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ+r-cellranger-1.1.0-r42hc72bb7e_1005.tar.bz2”h+Œ c5fb1e0e6ac24a3c5dd59683291739b2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r42hc72bb7e_1005.tar.bz2”h0Œ@e36e31227e7a803b4d730cd13fe59ba409c936600754d492d38beb8f86aa6e38”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐA’ã•hEJL¶ hFˆubh)”}”(hŒppmac”h#Œ0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒppmac-0.1-pyhd8ed1ab_0.tar.bz2”h+Œ da73c436287c48148ce9a5c61dcbf40e”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/ppmac-0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1b4843fbcfc004bee487f0fccb1cc2a496b97f05f7e00bb89d160a6017d571bb”h2NhNh3Œnumpy >=1.8”Œparamiko”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØB?>vÉhEM£†hFˆubh)”}”(hŒr-roi.plugin.lpsolve”h#Œ1.0_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ0r-roi.plugin.lpsolve-1.0_1-r41hc72bb7e_0.tar.bz2”h+Œ 6607fb10c25c8a3667f5ee42aa23c92c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-roi.plugin.lpsolve-1.0_1-r41hc72bb7e_0.tar.bz2”h0Œ@59db5911eb2e9e24e557681dc478cdba02b58c6864bac25f73e53c10359e1d40”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lpsolveapi >=5.5.2.0_1”Œr-roi >=0.3_0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØaãzW hEMtühFˆubh)”}”(hŒquickpotato”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&quickpotato-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 649afb876866cafb83b4d35f7c81260c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/quickpotato-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7c8bfb741877de214468016720a2b91cb053dbbf26743d083053c3ed439f9516”h2NhNh3(Œjinja2”Œnumpy”Œpandas”Œplotly”Œpymysql”Œpython >=3.7”Œpyyaml”Œscipy”Œ
sqlalchemy”Œsqlalchemy-utils”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ.ðV²ÐåhEM¬dhFˆubh)”}”(hŒ
qdarkstyle”h#Œ2.8.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%qdarkstyle-2.8.1-pyh9f0ad1d_0.tar.bz2”h+Œ aa11cc2bee7db98f745f7392054020a2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/qdarkstyle-2.8.1-pyh9f0ad1d_0.tar.bz2”h0Œ@adbe0074d686cbf87c998182bd72bde0faf7754a01c2ab4de5694961668645fd”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×žIÃíãThEJÜh hFˆubh)”}”(hŒr-rmagic”h#Œ2.0.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-rmagic-2.0.3-r41hc72bb7e_2.tar.bz2”h+Œ 322864f24501fb9148d4637df16227c0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmagic-2.0.3-r41hc72bb7e_2.tar.bz2”h0Œ@5a583c87b4d531aba9d2e6ef62f7ad2bdc6dbce49ec49d9633bbfbec5d6ab945”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-matrix >=1.2_0”Œr-reticulate >=1.4”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒœ<IºhEJz( hFˆubh)”}”(hŒr-npsurv”h#Œ0.5_0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ$r-npsurv-0.5_0-r40h6115d3f_0.tar.bz2”h+Œ 687e1c81da3b9dc9cad4f557c755c104”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-npsurv-0.5_0-r40h6115d3f_0.tar.bz2”h0Œ@15692d784d65ba793377c9db4f677297cda0c0e651bbc7575955438208523bc6”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lsei”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×ÙÞí‘&éhEJnþ hFˆubh)”}”(hŒ	r-rmallow”h#Œ1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ#r-rmallow-1.1-r36h6115d3f_1.tar.bz2”h+Œ abf8672423a6db9f9db16a0b1ccf6a6f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rmallow-1.1-r36h6115d3f_1.tar.bz2”h0Œ@c09c37857da2c79184b6f9a968a4f866568c6bd91884afa1527f7b03c046be29”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-combinat”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬^Ž•hEJñÒ hFˆubh)”}”(hŒlibjpeg-turbo-cos7-aarch64”h#Œ1.2.90”h%Œ
h1341992_2”h'Khhh(h)hŒ4libjpeg-turbo-cos7-aarch64-1.2.90-h1341992_2.tar.bz2”h+Œ 71adfc8ba84d1d59d26cbe91c391c570”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-aarch64-1.2.90-h1341992_2.tar.bz2”h0Œ@40eb7424601b5d0178234b14b18fc49f6c480250b3b7af95c77de9cb68a94e53”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒIJG”hBŒOther”hDGA×Ÿ‡;³Æ¨hEJû hFˆubh)”}”(hŒgtkmm24-devel-cos7-x86_64”h#Œ2.24.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ6gtkmm24-devel-cos7-x86_64-2.24.5-ha826a6f_1103.tar.bz2”h+Œ 49f32c13a5694ff24f3c8bbf685d139d”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos7-x86_64-2.24.5-ha826a6f_1103.tar.bz2”h0Œ@d1306b6a5099f90d13c326df997420bb345af329e3f01d30a39d4954298fb59c”h2NhNh3Œ#gtkmm24-cos7-x86_64 ==2.24.5 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{,¼jhEJq¤ hFˆubh)”}”(hŒ	r-configr”h#Œ0.3.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-configr-0.3.5-r41hc72bb7e_0.tar.bz2”h+Œ 9f308c1f1a4242e2999ce8d14384a569”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-configr-0.3.5-r41hc72bb7e_0.tar.bz2”h0Œ@f6e8bf1e3816a9f22d2328e550dfca35e44b25b2456d1b7f084a525debbe7412”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-ini >=0.2”Œr-jsonlite >=1.2”Œr-rcpptoml >=0.1.3”Œr-stringr >=1.2.0”Œr-yaml >=2.1.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÙ7«"=qhEJ…í hFˆubh)”}”(hŒlibtiff-cos7-ppc64le”h#Œ4.0.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/libtiff-cos7-ppc64le-4.0.3-hdf0574f_102.tar.bz2”h+Œ f29d0f9c318ad5422c0cf58669f8d7d7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-ppc64le-4.0.3-hdf0574f_102.tar.bz2”h0Œ@82c3a1012bc8b8f381e3d767121e52221d95be64e1c69e29d5b2047cd883d7f3”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@Œlibtiff”hBŒOther”hDGA×Åi$‘º^hEJ÷Þ hFˆubh)”}”(hŒlibsoup-devel-cos7-x86_64”h#Œ2.62.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libsoup-devel-cos7-x86_64-2.62.2-h9b0a68f_1105.tar.bz2”h+Œ 47067b386851fd0f61af0bf0b115179b”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos7-x86_64-2.62.2-h9b0a68f_1105.tar.bz2”h0Œ@aed818773a7e9815d5ee5e45bddb2f811da15c8144ed116d5c91fe9116d78812”h2NhNh3Œ#libsoup-cos7-x86_64 ==2.62.2 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@pß#C–hEJñ= hFˆubh)”}”(hŒr-assertive.sets”h#Œ0.0_3”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ/r-assertive.sets-0.0_3-r36h6115d3f_1003.tar.bz2”h+Œ 5aba30a2bc1b85806917c68262e945cf”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.sets-0.0_3-r36h6115d3f_1003.tar.bz2”h0Œ@1305631b324f8de4302dd31195b837aba5672fa13a35d08dc82769bd934ad88e”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=3.6,<3.7.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«üFô¼jhEM¬ŠhFˆubh)”}”(hŒconfigupdater”h#Œ3.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(configupdater-3.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ a057d7a8f5d2846fe85ded598f07d2dc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/configupdater-3.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@55c37f8fb3e2fb3da48776b09cca6cc46f71fb2f56005fbe24f1f9b352a73d95”h2NhNh3Œimportlib-metadata”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ®5¬Ï
=hEM“šhFˆubh)”}”(hŒesmlab”h#Œ	2019.4.27”h%Œpy_0”h'K hhh(h)hŒesmlab-2019.4.27-py_0.tar.bz2”h+Œ 83bb1541f1b4cf78ccb4b1aa2ef1dfbc”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/esmlab-2019.4.27-py_0.tar.bz2”h0Œ@39f534cf1b47a05aa44c4e936a46bba225b925b32d80045132b5992b95ee5988”h2NhNh3(Œcftime”Œdask”Œesmpy”Œnetcdf4”Œpython >3.5”Œxarray”Œxesmf”t”h9h?h@Œ
Apache 2.0”hDGA×0ý1ÅOßhEMXhFˆubh)”}”(hŒ
r-multiroc”h#Œ1.1.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ)r-multiroc-1.1.1-r41hc72bb7e_1002.tar.bz2”h+Œ 94fe3f5716911a84dea05df6875d72ca”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r41hc72bb7e_1002.tar.bz2”h0Œ@4da75f6d5dac9fee3b929a952168ab1cce4122f7e15ba55cab22e5e71c136ecd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œ
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defusedxml”Œfuture”Œpathlib2”Œpython”Œrequests”t”h9h?h@Œ
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rb-net-ssh”h#Œ6.1.0”h%Œ
hd8ed1ab_1”h'Khhh(h)hŒ#rb-net-ssh-6.1.0-hd8ed1ab_1.tar.bz2”h+Œ 5a1e00abf2f3c24fea963298bf85d802”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rb-net-ssh-6.1.0-hd8ed1ab_1.tar.bz2”h0Œ@6366359439a763edde15d422d0cf540aa23d1f58b468956c3f50b7936961d35a”h2NhNh3Œ
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geodemo_zw”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%geodemo_zw-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 35afa5b287cd638bf59a6ba2bcd63a65”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/geodemo_zw-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@ba4dae0b5eba09dee6bb3aa71295be5e84703a384bede011fb0b99a59d698464”h2NhNh3(Œearthengine-api”Œfolium”Œ
ipyleaflet”Œpyshp”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ0ª„9XhEMÓ!hFˆubh)”}”(hŒdjango-js-asset”h#Œ1.2.2”h%Œpy_0”h'K hhh(h)hŒ"django-js-asset-1.2.2-py_0.tar.bz2”h+Œ 9acbb4fc993f7876f53fd1397f8586bb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/django-js-asset-1.2.2-py_0.tar.bz2”h0Œ@fb130469a0f81d3ddab1a4a6baac02a0321eb25d621e4e3e87d04bbf02ed0878”h2NhNh3Œdjango”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Ø`ð“uhEM˜hFˆubh)”}”(hŒpixman-cos6-x86_64”h#Œ0.32.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.pixman-cos6-x86_64-0.32.8-h9b0a68f_105.tar.bz2”h+Œ 61ee37b957dea16a8c7f86d2692ae8f8”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pixman-cos6-x86_64-0.32.8-h9b0a68f_105.tar.bz2”h0Œ@94c55e4ca85bd2022e988acd696d572afce816676a027fa136871db4062bbad9”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@V‹õp¤hEJn* hFˆubh)”}”(hŒ
r-plotluck”h#Œ1.1.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ&r-plotluck-1.1.1-r35h6115d3f_1.tar.bz2”h+Œ b564684dc71d69194cbd4d0cb18263fb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plotluck-1.1.1-r35h6115d3f_1.tar.bz2”h0Œ@27e42ede1ebfc128999dbdc5091fe596b3e7f9013fc83426bdf5b034552bc3ab”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-ggplot2 >=2.2.0”Œr-hexbin >=1.27.1”Œr-hmisc >=3.17.4”Œr-plyr >=1.8.4”Œr-quantreg >=5.26”Œr-rcolorbrewer >=1.1.2”Œr-scales >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×LÆ¡
ÀƒhEJ¨Å hFˆubh)”}”(hŒexpat-devel-cos7-ppc64le”h#Œ2.1.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ3expat-devel-cos7-ppc64le-2.1.0-hdf0574f_102.tar.bz2”h+Œ 2ea240ed8a955da3d97733877006f583”h.Œahttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-ppc64le-2.1.0-hdf0574f_102.tar.bz2”h0Œ@4482a8ebbdfb99eb03f31be500cf33e633f969a1e6748611796848895c35fc14”h2NhNh3Œ expat-cos7-ppc64le ==2.1.0 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åá”M`BhEMÖ¾hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpy_5”h'Khhh(h)hŒ$fenics-dijitso-2019.1.0-py_5.tar.bz2”h+Œ eab32e332227a1280503ec2a4af02e9e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-py_5.tar.bz2”h0Œ@c72c2fdcc2e2dcc2d3b2cce5f17ff8baa200e4d1d25a1da3f65daf46edda0801”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×U¥:@r°hEMÍ¤hFˆubh)”}”(hŒaproc”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ aproc-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 26279678bddc9a7019322483ccfeb5af”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/aproc-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9242e16c9f527973a475d765cf7d5f79b7478a4f1ba4d8e2ad4d7000032c0a53”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØb2÷C…hEMhFˆubh)”}”(hŒsysroot-cos7-aarch64”h#Œ2.17”h%Œhca5cc2b_10”h'K
hhh(h)hŒ-sysroot-cos7-aarch64-2.17-hca5cc2b_10.tar.bz2”h+Œ adbff69fe849e9a32193840876273918”h.Œ[https://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-aarch64-2.17-hca5cc2b_10.tar.bz2”h0Œ@26aaa3ceb5ed8693f0d5f65c98d6494cc0beff8d9f4b098361a399cf6c1ea762”h2NhNh3Œsysroot_linux-aarch64 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGA×Éd˜”“hEMÇ2hFˆubh)”}”(hŒr-benchmarkmedata”h#Œ1.0.4”h%Œr35h6115d3f_0”h'K hhh(h)hŒ-r-benchmarkmedata-1.0.4-r35h6115d3f_0.tar.bz2”h+Œ a8753b2d0833b2a6bcaba3e60054d3de”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-benchmarkmedata-1.0.4-r35h6115d3f_0.tar.bz2”h0Œ@cb6480b337841d5e74c459773a737b3b6eb86531840120d09882809af2331b14”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-dplyr”Œr-tibble”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×¨zâvvÉhEJí± hFˆubh)”}”(hŒ
r-lmertest”h#Œ3.1_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-lmertest-3.1_3-r41hc72bb7e_0.tar.bz2”h+Œ f65f32e44508280b3849f821cb5a54e1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lmertest-3.1_3-r41hc72bb7e_0.tar.bz2”h0Œ@d2d1f675f06a3a80ca056ac8fa8895c10b90fc419e510b1364c14fe7c4560f64”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-lme4 >=1.1_10”Œr-mass”Œ
r-numderiv”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+«Ç®hEJ¯‚ hFˆubh)”}”(hŒ	r-ggghost”h#Œ0.2.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-ggghost-0.2.1-r36h6115d3f_1.tar.bz2”h+Œ 69af29ff6e9da2a5afebeb61fbfec005”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggghost-0.2.1-r36h6115d3f_1.tar.bz2”h0Œ@250bc16a0ac4b6ec974e1ee844a1009c9afd479392287f3da8c5b34de420e499”h2NhNh3Œr-animation”Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGA×±Â ØÔþhEMlôhFˆubh)”}”(hŒmesa-libgbm-cos7-ppc64le”h#Œ18.3.4”h%Œh1795305_101”h'Kehhh(h)hŒ4mesa-libgbm-cos7-ppc64le-18.3.4-h1795305_101.tar.bz2”h+Œ 6d9030860f37387a070c459075022b8f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-ppc64le-18.3.4-h1795305_101.tar.bz2”h0Œ@2ef5fe486653313eb9bd91d56dabc7914e73be937aa1e213d7d5520b775c0950”h2NhNh3Œlibdrm-cos7-ppc64le >=2.4.83”Œ!mesa-libglapi-cos7-ppc64le 18.3.4”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å_å¡ËhEMÜ€hFˆubh)”}”(hŒrb-aws-eventstream”h#Œ1.0.3”h%Œ
hc42de5b_0”h'K hhh(h)hŒ+rb-aws-eventstream-1.0.3-hc42de5b_0.tar.bz2”h+Œ 324a01b8058fff4a78eaf2be7c78c295”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/rb-aws-eventstream-1.0.3-hc42de5b_0.tar.bz2”h0Œ@061d9c42772d97a58bed65a87c7fbd0b2d315e9cbc76785871281becfbc40478”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×\Ç‚JñªhEM¹OhFˆubh)”}”(hŒlibnl-cos6-x86_64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-libnl-cos6-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 74a398db52f62755260e6827a12a937d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos6-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@2d68986ed0bd4238c58f43925510af58207d3253235343f0853c14ca8a7631e0”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Éyýep¤hEJÙ, hFˆubh)”}”(hŒscramp”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒscramp-1.1.0-py_0.tar.bz2”h+Œ 89d6c247f2dfaee434265cb0034d4c97”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/scramp-1.1.0-py_0.tar.bz2”h0Œ@0ecc358919da500490758e44872771e7762789d1cfd026a8f619fd5128a70848”h2NhNh3Œpython >3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGA×[MÄc33hEM²!hFˆubh)”}”(hŒxarray-topo”h#Œ0.0.11”h%Œpy_1000”h'Mèhhh(h)hŒ"xarray-topo-0.0.11-py_1000.tar.bz2”h+Œ 8b1d3800f998e3ef459fefb51ed728bd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/xarray-topo-0.0.11-py_1000.tar.bz2”h0Œ@fc7e3921ea512e45d69357009d67c3587d50b5774c0a54c61b485e30407420a5”h2NhNh3(Œnumba >=0.35.0”Œnumpy”Œ
python >=3”Œxarray >=0.10.0”Œxarray-simlab >=0.2.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖù +7LhEMãAhFˆubh)”}”(hŒglib2-cos6-x86_64”h#Œ2.28.8”h%Œha826a6f_103”h'Kghhh(h)hŒ-glib2-cos6-x86_64-2.28.8-ha826a6f_103.tar.bz2”h+Œ b3f61ce6a1aef6403785d4705b71dad3”h.Œ[https://conda.anaconda.org/conda-forge/noarch/glib2-cos6-x86_64-2.28.8-ha826a6f_103.tar.bz2”h0Œ@a625373e8b28c62689f4a243fa05d806b038098d23c7bc6f15c2eb9fd6606386”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/¹^ffhEJâc hFˆubh)”}”(hŒdiffpy.pdfmorph”h#Œ0.0.1”h%Œpy_1”h'Khhh(h)hŒ"diffpy.pdfmorph-0.0.1-py_1.tar.bz2”h+Œ bc81ac2841b7537c8be6b31bfd5b0eb0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/diffpy.pdfmorph-0.0.1-py_1.tar.bz2”h0Œ@22eda1d1ac152ff540f4bd6fd6611910b6891725559bf825df3ccb1eaa5f98b4”h2NhNh3(Œdiffpy.utils”Œmatplotlib-base”Œnumpy”Œ
python >=3”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¯ü¤õ/hEMëWhFˆubh)”}”(hŒatk-devel-cos7-x86_64”h#Œ2.28.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2atk-devel-cos7-x86_64-2.28.1-h9d98e8f_1104.tar.bz2”h+Œ 2c01e0f74ec115717dce8fe542e0a60c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos7-x86_64-2.28.1-h9d98e8f_1104.tar.bz2”h0Œ@a239654a80159400ff6caafd55bb944704cce3cf31d9728e7f0f7bf78bd88ff1”h2NhNh3Œatk-cos7-x86_64 ==2.28.1 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É|î¹&éhEJßÚ hFˆubh)”}”(hŒ	r-multica”h#Œ1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-multica-1.1-r41hc72bb7e_0.tar.bz2”h+Œ 5f8e1cc96d255fc5548d7ae3c8e73148”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-multica-1.1-r41hc72bb7e_0.tar.bz2”h0Œ@35e55b4fea033a9628fac3f6155f345c86f7393923b8c0a5e54b2294e280ad85”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-bitops”Œ
r-multcomp”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØh°¿¡7LhEM!àhFˆubh)”}”(hŒlibudev-cos6-x86_64”h#Œ147”h%Œha826a6f_1103”h'MOhhh(h)hŒ-libudev-cos6-x86_64-147-ha826a6f_1103.tar.bz2”h+Œ fac046de84de38e3ccc2d986997c4c03”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libudev-cos6-x86_64-147-ha826a6f_1103.tar.bz2”h0Œ@60e9cd799302003e9096d9da9b6209342b67cbe0d06f76e9ba0add9844ed7bf8”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ0f³Æ¨hEMhFˆubh)”}”(hŒ
nbcommands”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%nbcommands-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2e1e6eef5ce5bf828a12963f58db1ca7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/nbcommands-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a88c86f8a5332bdbd1a321090787f24173f94064333073d35e3bf0dfdc88f8da”h2NhNh3(Œblack”Œclick”Œcolorama”Œnbformat”Œpygments”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ3óRÈ´hEM=hFˆubh)”}”(hŒelastic”h#Œ5.1.0.17”h%Œpy_0”h'K hhh(h)hŒelastic-5.1.0.17-py_0.tar.bz2”h+Œ 9ac73a37b990881800bf5258b33085f4”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/elastic-5.1.0.17-py_0.tar.bz2”h0Œ@53392143bd3e714212dbd04ba11a953a38cc245c4dca02477f385894acb27d92”h2NhNh3(Œase”Œclick”Œfuture”Œnumpy”Œpython”Œscipy”Œspglib”t”h9h?h@ŒGPL-3.0”hBŒGPL3”hDGAÖÓY!ñÛ#hEJ#b hFˆubh)”}”(hŒr-parcor”h#Œ0.2_6”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ'r-parcor-0.2_6-r42hc72bb7e_1003.tar.bz2”h+Œ 3ffb49c3d9361c6200b551446f65ebdd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parcor-0.2_6-r42hc72bb7e_1003.tar.bz2”h0Œ@7a0feae0b509585b6688a8f6db674e713a7dc37c58e68761a77adc6d5def650c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-epi”Œ	r-genenet”Œr-glmnet”Œr-mass”Œr-ppls”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒêÈ´hEJlM hFˆubh)”}”(hŒr-daff”h#Œ0.3.5”h%Œr35h6115d3f_1”h'Khhh(h)hŒ"r-daff-0.3.5-r35h6115d3f_1.tar.bz2”h+Œ 67d8a4a3684e85693d6095fd1454c7e8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-daff-0.3.5-r35h6115d3f_1.tar.bz2”h0Œ@c5b0c823400acfb513bba74e04ed4403b4fb6e1480a11eff30a20e89eadb6df4”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×NÌ$l‹DhEJüV hFˆubh)”}”(hŒlibdrm-devel-cos6-x86_64”h#Œ2.4.65”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libdrm-devel-cos6-x86_64-2.4.65-h9b0a68f_1105.tar.bz2”h+Œ 698bd32f6cb02b4f484e3bcaafb263d8”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos6-x86_64-2.4.65-h9b0a68f_1105.tar.bz2”h0Œ@6fb95dee71610b851b7275187ffd849c5d56b8a6f0c2974cb45f37c0f5af26c8”h2NhNh3Œ*kernel-headers-cos6-x86_64 >=2.6.27 *_1105”Œ"libdrm-cos6-x86_64 ==2.4.65 *_1105”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[¡ö$ÝhEJC@ hFˆubh)”}”(hŒpumml”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pumml-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 5c4edf600949f0f87c477107966ab317”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pumml-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@5e5cc9214a2d33519fabca0805f8d2d08a4bde4ea0eb9a93f9853b5fc79b17c7”h2NhNh3(Œmatminer 0.6.3”Œmatplotlib-base >=3.1.1”Œmonty >=2.0.4”Œnumpy 1.19.4”Œpandas 1.1.4”Œpymatgen 2020.11.11”Œpython >=3.6”Œscikit-learn 0.23.2”Œscipy >=1.3.0”Œseaborn >=0.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ^)ë…hEM¥DhFˆubh)”}”(hŒ
carto-auth”h#Œ0.1.0b5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'carto-auth-0.1.0b5-pyhd8ed1ab_0.tar.bz2”h+Œ 148b9b9a09f73ab6f921bceb2f85a88b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/carto-auth-0.1.0b5-pyhd8ed1ab_0.tar.bz2”h0Œ@ec14d8c793facfbb9a336d3058892793539be0b62bd1f8ff3e87319057a9d0fe”h2NhNh3Œpython >=3.7”Œpyyaml”Œrequests”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÚJqq™šhEM)1hFˆubh)”}”(hŒazure-identity”h#Œ1.12.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*azure-identity-1.12.0-pyhd8ed1ab_0.tar.bz2”h+Œ 221a093ddca5e5abf2090a68dd964266”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/azure-identity-1.12.0-pyhd8ed1ab_0.tar.bz2”h0Œ@af18f4cc9305c849e5ebbaa5cab69bc546c1d8a67accaf2e7bdeb39ab6f75f6f”h2NhNh3(Œazure-core >=1.11.0,<2.0.0”Œcryptography >=2.5”Œmsal >=1.12.0,<2.0.0”Œmsal_extensions >=0.3.0,<2.0.0”Œpython >=3.7”Œ
six >=1.12”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÚÐ
ç²hEJå hFˆubh)”}”(hŒlibxscrnsaver-cos7-aarch64”h#Œ1.2.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5libxscrnsaver-cos7-aarch64-1.2.2-hdf0574f_102.tar.bz2”h+Œ 08804f3cb24c903e2ff9fa964c5c423d”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-aarch64-1.2.2-hdf0574f_102.tar.bz2”h0Œ@257cfa9557a5fdcb834b053d99b90b9dfcec10b5c0ac51d2e339bc24ddbb87a7”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´´Õ¡ËhEM£KhFˆubh)”}”(hŒ
r-varselrf”h#Œ0.7_8”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ*r-varselrf-0.7_8-r351h6115d3f_1000.tar.bz2”h+Œ b5e7b2e8861ce9bcca3ae919e3ffc401”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-varselrf-0.7_8-r351h6115d3f_1000.tar.bz2”h0Œ@56409c54b2b1525c9538cfba64ae513080527b4c14f01664da103af5f44e1fd0”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-randomforest”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Ê/ù‰7hEJ³ê hFˆubh)”}”(hŒ	torchfile”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒtorchfile-0.1.0-py_0.tar.bz2”h+Œ a97360c858f63d6b0171d92f35a9e534”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/torchfile-0.1.0-py_0.tar.bz2”h0Œ@e9444d33c229723da1d31386443af6ebced966e2f60128e52c3fdd1c02c9cece”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÄ£RŸ¾hEMÀ!hFˆubh)”}”(hŒphasecalculator”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*phasecalculator-1.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ a3f06e761b3994b9225a40d1f8a33d11”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/phasecalculator-1.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@23b2c5a23129d0ab52672b3ae91d5d70c84c5e88d8f84bf5548401b1bfebf3c0”h2NhNh3(Œlxml”Œ
matplotlib”Œnumpy”Œpandas”Œphasexmlcreator”Œphasexmlparser”Œpuresolventinformation”Œpytest”Œpython >=3.6”Œrdkit”Œresultsanalysis”Œscipy”Œsolventmapcreator”Œsvgutils >=0.3.4”Œtestfixtures”Œxmlvalidator”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØ°¾Z^5hEJ×O hFˆubh)”}”(hŒ
r-plotluck”h#Œ1.1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-plotluck-1.1.1-r36h6115d3f_1.tar.bz2”h+Œ 9932095f7886a3ba137aa60d7e416ace”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plotluck-1.1.1-r36h6115d3f_1.tar.bz2”h0Œ@31d98af3328e0f1a9137be175de577d0fe83a7e35b9f01db68a1169e785cc0be”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=2.2.0”Œr-hexbin >=1.27.1”Œr-hmisc >=3.17.4”Œr-plyr >=1.8.4”Œr-quantreg >=5.26”Œr-rcolorbrewer >=1.1.2”Œr-scales >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×LÆœ„9XhEJ²Í hFˆubh)”}”(hŒsos-papermill”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒ sos-papermill-0.2.1-py_0.tar.bz2”h+Œ 8993319c9b1fbe24dfae79b4eb1a3cbb”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sos-papermill-0.2.1-py_0.tar.bz2”h0Œ@8784c43ab1133c06febfcb269ce406200906394b403c8d8806a4e171d6ccbaf0”h2NhNh3Œ	papermill”Œpython >=3.6”Œsos-notebook”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Ó¥´àå`hEMý,hFˆubh)”}”(hŒlibthai-cos6-x86_64”h#Œ0.1.12”h%Œha826a6f_103”h'Kghhh(h)hŒ/libthai-cos6-x86_64-0.1.12-ha826a6f_103.tar.bz2”h+Œ 047a5a2bb5a5f76aa50ca3a5d8bef335”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libthai-cos6-x86_64-0.1.12-ha826a6f_103.tar.bz2”h0Œ@d4a21de20cebfa5a743ad931997accbe709b68568c6f9736706688fbc84534cc”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/¥ãhEJ¦` hFˆubh)”}”(hŒlibxt-cos7-aarch64”h#Œ1.1.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libxt-cos7-aarch64-1.1.5-h9b0a68f_105.tar.bz2”h+Œ e7216166d74f58a4dd90c15c92f3775d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxt-cos7-aarch64-1.1.5-h9b0a68f_105.tar.bz2”h0Œ@778e8c8e49d8a1d8fde6c775a5748d50c57f51373ef9c5c53b298446edc46c77”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@]
¿l‹hEJ­Á hFˆubh)”}”(hŒpymedphys_dicom”h#Œ0.11.0”h%Œpy_1”h'Khhh(h)hŒ#pymedphys_dicom-0.11.0-py_1.tar.bz2”h+Œ de7935e499c205510b9ad9784b7c6c7a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pymedphys_dicom-0.11.0-py_1.tar.bz2”h0Œ@8ed30b18c4ef1e0cd4ccb6a92c066ef83d2286332cb94228a1beac0066648a75”h2NhNh3(Œmatplotlib-base”Œnumpy >=1.12”Œ	packaging”Œpydicom”Œpymedphys_base 0.11.0 py_1”Œpymedphys_utilities 0.11.0 py_1”Œpython >=3.7”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×¯ý’~úhEJ¯ hFˆubh)”}”(hŒxpdan”h#Œ0.8.2”h%Œpy_0”h'K hhh(h)hŒxpdan-0.8.2-py_0.tar.bz2”h+Œ 11b4406906b03b29238ad17daacebc79”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/xpdan-0.8.2-py_0.tar.bz2”h0Œ@08a7a6c81eaa8d24d71138334e12f9ca787a7a114256f95370c1b12f47db71b1”h2NhNh3(Œbluesky”Œ
databroker”Œ
matplotlib”Œmayavi”Œnumpy”Œophyd”Œpyfai”Œ
python >=3”Œpyxdameraulevenshtein”Œpyyaml”Œrapidz”Œscikit-beam”Œscipy”Œshed”Œxpdconf”Œxpdsim”Œxpdtools”Œxpdview”Œxray-vision”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÈˆôBn˜hEJþ hFˆubh)”}”(hŒlibxinerama-cos7-ppc64le”h#Œ1.1.3”h%Œha826a6f_103”h'Kghhh(h)hŒ3libxinerama-cos7-ppc64le-1.1.3-ha826a6f_103.tar.bz2”h+Œ ad93935183fefa6af5ecc7ec40e714b4”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-ppc64le-1.1.3-ha826a6f_103.tar.bz2”h0Œ@5db79d53e58087f0c999ea19920cbd37a34f1a2dbd8b32ffaac6f95f8ca66cc5”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1%á™šhEM¿+hFˆubh)”}”(hŒmesa-libgl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ:mesa-libgl-devel-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 9ca3672f051e88c19004c2dae791b774”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-ppc64le-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@b02403d2a806b728ab11b512523aa3eada77cc542abcd564a38c26842c66f93f”h2NhNh3Œ'mesa-libgl-cos7-ppc64le ==18.3.4 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+øÞÙhEJ¶… hFˆubh)”}”(hŒr-sjlabelled”h#Œ1.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-sjlabelled-1.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 64a5fda1d5f2ff32de329a35a24cbb7a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sjlabelled-1.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@e4bae778c8cac2f6f3180a7c7192b8d658fe6aa084148ff36a7b22d8c7be97e5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-datawizard”Œ	r-insight”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐÆV©hshEJõ hFˆubh)”}”(hŒr-urlchecker”h#Œ1.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-urlchecker-1.0.1-r40hc72bb7e_0.tar.bz2”h+Œ fc48c32fe0be7dd0505ec647cdb91b7e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-urlchecker-1.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@22317733dc46939188cd55b3ba10c2e5f75eb90f9522a4222f22174e07b28462”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cli”Œr-curl”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¶BB\ýôhEM‹ÉhFˆubh)”}”(hŒr-starticles”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-starticles-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 225afa11aff9b617eca339d9d6164c6b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-starticles-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@0d222dbb425f1a5f61816488d8e9a6c510f1cc6f370d773101bd1d269a3c98a9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-bookdown”Œr-knitr”Œr-rmarkdown”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ®\£†hEMóËhFˆubh)”}”(hŒr-data.tree”h#Œ1.0.0”h%Œr41hd8ed1ab_1”h'Khhh(h)hŒ'r-data.tree-1.0.0-r41hd8ed1ab_1.tar.bz2”h+Œ b2a17b9678a0b4bac367d8a909cf89ef”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-data.tree-1.0.0-r41hd8ed1ab_1.tar.bz2”h0Œ@c038125f8b28cf2db4862b6f558ce8d1e76ae725138a2a74224d33d2c1d11583”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-diagrammer >=1.0.0”Œr-r6”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑ©/²\hEJWç hFˆubh)”}”(hŒr-gameofthrones”h#Œ1.0.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ+r-gameofthrones-1.0.2-r42hc72bb7e_2.tar.bz2”h+Œ f04f93c16880a59b81aa5da174b3c01c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-gameofthrones-1.0.2-r42hc72bb7e_2.tar.bz2”h0Œ@2dd41c04763cdcb3d25723a0eb11d82f087148f74e375d0f16d611296e9087f7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ†ç¯l‹hEJô• hFˆubh)”}”(hŒ
goodtables”h#Œ2.5.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%goodtables-2.5.4-pyhd8ed1ab_1.tar.bz2”h+Œ d166706e7e1967f6df71d1184dbfd910”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/goodtables-2.5.4-pyhd8ed1ab_1.tar.bz2”h0Œ@5faedf410fbb7d0704f73dd21ef6f40d09fff7f0d6372b469fbb95bc645170d0”h2NhNh3(Œclick >=6.6”Œclick-default-group”Œdatapackage >=1.10”Œpython >=3.6”Œrequests >=2.10”Œsimpleeval >=0.9”Œ	six >=1.9”Œtableschema >=1.16.4”Œtabulator >=1.40”t”h9h?h@ŒMIT”hBŒMIT”hDGAØeY»8ÄœhEMMhFˆubh)”}”(hŒr-cocor”h#Œ1.1_4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-cocor-1.1_4-r40hc72bb7e_0.tar.bz2”h+Œ a225b27ad4e6cfcacb3cbc4250053209”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cocor-1.1_4-r40hc72bb7e_0.tar.bz2”h0Œ@11b19ea5c419b89185fe5cf9e8b866981621d05134f1c7351003a13d0f7256d5”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ®ÍFïïžhEJfA hFˆubh)”}”(hŒpymedphys_databases”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒ'pymedphys_databases-0.11.0-py_0.tar.bz2”h+Œ 59a1229ee8399826eebcfbee7ed9e310”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pymedphys_databases-0.11.0-py_0.tar.bz2”h0Œ@3d6fc3158f7e85aba9ac89dc1300b94fa95ab78d62637ece9b85d191da932a40”h2NhNh3(Œattrs”Œkeyring”Œnumpy >=1.12”Œpandas”Œpymedphys_base 0.11.0 py_0”Œ!pymedphys_fileformats 0.11.0 py_0”Œpymedphys_mudensity 0.11.0 py_0”Œpymedphys_utilities 0.11.0 py_0”Œpymssql”Œpython >=3.7”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×]èÉ'PhEM¬thFˆubh)”}”(hŒr-cramer”h#Œ0.9_3”h%Œr40h6115d3f_2”h'Khhh(h)hŒ$r-cramer-0.9_3-r40h6115d3f_2.tar.bz2”h+Œ 93867eac7165927e10c49cf3d3be97c1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cramer-0.9_3-r40h6115d3f_2.tar.bz2”h0Œ@aedf1057e1c7462ca348f110576a2ce572113e5a74e91057afe085354ce86e04”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-boot”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬Õ1G®hEMì¢hFˆubh)”}”(hŒr-lmesplines”h#Œ1.1_12”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-lmesplines-1.1_12-r41hc72bb7e_0.tar.bz2”h+Œ 3ff93dedef22c6b270db5095be9de5b7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-lmesplines-1.1_12-r41hc72bb7e_0.tar.bz2”h0Œ@fa7b9a679533f8b1fd9769f0a1f472568cff2c32fae11e48b00e82472a306d2f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-nlme >=3.1_29”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØœwµhEMJ™hFˆubh)”}”(hŒlibxscrnsaver-devel-cos7-x86_64”h#Œ1.2.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;libxscrnsaver-devel-cos7-x86_64-1.2.2-h9b0a68f_1105.tar.bz2”h+Œ f70f97c67ab2f0c1371b77dbcbe782d5”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-x86_64-1.2.2-h9b0a68f_1105.tar.bz2”h0Œ@a0ed0b3f69d7a7b6fae714753afd602240b640a470f70b1e1f86834da5200bcc”h2NhNh3Œ(libxscrnsaver-cos7-x86_64 ==1.2.2 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@mUú¬hEM÷6hFˆubh)”}”(hŒr-rapidjsonr”h#Œ1.2.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-rapidjsonr-1.2.0-r36h6115d3f_0.tar.bz2”h+Œ 94ca56e825af7fd75cd9dc856449aa35”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rapidjsonr-1.2.0-r36h6115d3f_0.tar.bz2”h0Œ@88a580bdd4452e500e831e75fc61e21e443950b727175260554c04c75e8bfd98”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×™)–ÝhEJÆ· hFˆubh)”}”(hŒthree-merge”h#Œ0.1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&three-merge-0.1.1-pyh9f0ad1d_0.tar.bz2”h+Œ 3f2049dd41b651a531a5044dd1e6113b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/three-merge-0.1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@5a0d1d363fd2c92860106f81c09f84ec9f8f938001146cf77830d71b74d23638”h2NhNh3Œdiff-match-patch”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ÆiŒýôhEM!hFˆubh)”}”(hŒ	r-howmany”h#Œ0.3_1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ(r-howmany-0.3_1-r42hc72bb7e_1003.tar.bz2”h+Œ 688c707504bffbf0790a22a999e199e1”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-howmany-0.3_1-r42hc72bb7e_1003.tar.bz2”h0Œ@4aab943f51f548ac98f8bb5883f6a3367e4e127438a37c73be5ba1d12ef33da0”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒi>mhEM~ÕhFˆubh)”}”(hŒr-trimcluster”h#Œ0.1_5”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-trimcluster-0.1_5-r40hc72bb7e_1.tar.bz2”h+Œ c6ec05c49aeeabc26335e464967e5bd9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-trimcluster-0.1_5-r40hc72bb7e_1.tar.bz2”h0Œ@e5f11cd78e62cdb7d8db6a415be77af5575941537cb0e6fc7c7a3659cb65642a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+ $ÝhEM‰‘hFˆubh)”}”(hŒmesa-dri-drivers-cos7-aarch64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ:mesa-dri-drivers-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ ebd62c02a80ec4e2285bfb7a62a9cfac”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@891cae8755dace1a9ae6c16751b511e224bb99649b0a0fb4095560e85b48a978”h2NhNh3Œ#libdrm-cos7-aarch64 >=2.4.83 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1¦t(öhEJÕ‰˜hFˆubh)”}”(hŒcairo-devel-cos6-x86_64”h#Œ1.8.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2cairo-devel-cos6-x86_64-1.8.8-hdf0574f_102.tar.bz2”h+Œ 017018603e138d6578486b04e5d6a0ff”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos6-x86_64-1.8.8-hdf0574f_102.tar.bz2”h0Œ@112c4cd6103597569056593edca22b6deb60f7ba7848d49a124b713f206ccc15”h2NhNh3(Œcairo-cos6-x86_64 ==1.8.8 *_102”Œ(fontconfig-devel-cos6-x86_64 >=2.0 *_102”Œ(freetype-devel-cos6-x86_64 >=2.1.9 *_102”Œ'pixman-devel-cos6-x86_64 >=0.12.0 *_102”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2 or 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imapclient”h#Œ2.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%imapclient-2.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0cccc7f5e5c062801d7b1b60797ee34f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/imapclient-2.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@bb8f3c4ba0da1a9076d94150b15e70fb9acacdd27d6658d1ba1247113d1795af”h2NhNh3Œpython >=3.6”Œsix”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ²J‘ø£×hEM’hFˆubh)”}”(hŒr-wikipedir”h#Œ1.5.0”h%Œr40hd8ed1ab_1003”h'Mëhhh(h)hŒ*r-wikipedir-1.5.0-r40hd8ed1ab_1003.tar.bz2”h+Œ 6c7932434c62a0596f2f5b0ed628495b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-wikipedir-1.5.0-r40hd8ed1ab_1003.tar.bz2”h0Œ@8d2783be0b3f6d81a00edc3069c53f5e5f4f41c1a1f12b8f55e7daf5875750b3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ðËSçmhEJhS hFˆubh)”}”(hŒdatabind.core”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(databind.core-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ d94c74eb7738ecb7b1badfa534216896”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/databind.core-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b72d1befde5122b60e6a46a27ce028b574873fb501e4bc8e71829f37238ccdf7”h2NhNh3(Œdeprecated >=1.2.12,<2.0.0”Œnr.optional >=0.1.1,<1.0.0”Œnr.parsing.date >=1.0.1,<2.0.0”Œnr.preconditions >=0.0.4,<1.0.0”Œnr.stream >=0.1.1,<1.0.0”Œpython >=3.7,<4.0”Œ!typing-extensions <4.0.0,>=3.10.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØzáihƒhEM¤mhFˆubh)”}”(hŒr-palmerpenguins”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-palmerpenguins-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 33eee83bf0734a3bef26329e89b09340”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-palmerpenguins-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@9be5b721f7f2ec250d1bc6f269d040344d67893897bd27f7d1edd2597cf35a87”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÐŠÕ`BhEJX. hFˆubh)”}”(hŒgraphlib-backport”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,graphlib-backport-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 33c122658a309cc9fc0b1dda47a02a84”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/graphlib-backport-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@1a417887d6f2b770eae6154441be7a7819e9966ce495150e529e07922a5adb08”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAØ_0Œ¬¼jhEMŸ)hFˆubh)”}”(hŒr-colorblindness”h#Œ0.1.9”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-colorblindness-0.1.9-r40hc72bb7e_0.tar.bz2”h+Œ 8f8f61f6335a56893ca9420d5141d546”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-colorblindness-0.1.9-r40hc72bb7e_0.tar.bz2”h0Œ@26482dab221b7bca10a87be18dce3e06515f2280b9dd4e77b29f631d53a5583d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-colorspace”Œ	r-cowplot”Œ	r-ggplot2”Œr-gridgraphics”Œr-gtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØgÖly‡hEJÅ6 hFˆubh)”}”(hŒepispot”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"epispot-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7628ac4c6b3271f091853f9e20745c91”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/epispot-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6dca496e765415ab4432981739e0bef009a62da9bb0cb3de99fd2be82031e33b”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØîr<9XhEM<}hFˆubh)”}”(hŒlibxtst-cos6-x86_64”h#Œ1.2.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libxtst-cos6-x86_64-1.2.3-h9b0a68f_1105.tar.bz2”h+Œ afa32d981a30330b2bc43cf4537ce4e1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxtst-cos6-x86_64-1.2.3-h9b0a68f_1105.tar.bz2”h0Œ@f2faf40a78690fd33636e27dfe27a1be661909810818b5ed91e81a14d9a144d6”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\QÕVhEM©AhFˆubh)”}”(hŒmscxyz”h#Œ1.3.0”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ!mscxyz-1.3.0-pyhd8ed1ab_2.tar.bz2”h+Œ 50f5b7174fb6c5f835d35387be9c7dc3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/mscxyz-1.3.0-pyhd8ed1ab_2.tar.bz2”h0Œ@3eb288c511f74f5c9c4fb01401317a46b1b55298fcc68d09ba1a73a32d0d1947”h2NhNh3(Œlxml”Œpython >=3.6”Œ	termcolor”Œtmep >=2.0.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØb%ÒzáHhEM ahFˆubh)”}”(hŒspotify2musicbrainz”h#Œ0.3.2”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ.spotify2musicbrainz-0.3.2-pyhd8ed1ab_2.tar.bz2”h+Œ 336e317250348ce97e22b47c10dd4f98”h.Œ\https://conda.anaconda.org/conda-forge/noarch/spotify2musicbrainz-0.3.2-pyhd8ed1ab_2.tar.bz2”h0Œ@3b33d52b6dadd3f48ae19d64e2f6de7349ba74a79c3fa279356fb9dd700411eb”h2NhNh3Œmusicbrainzngs”Œ
python >=3”Œspotipy”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ|È/hEMÓ^hFˆubh)”}”(hŒlibglvnd-cos7-aarch64”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libglvnd-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h+Œ c94ce516b4042ae28248527b787f2485”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libglvnd-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@c5bea6d06b18d77ade32647369282859f3b1d34746fdb72785da3e51f3dc17cd”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Vo€r°hEJ€ì hFˆubh)”}”(hŒr-rvmmin”h#Œ2018_4.17.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ*r-rvmmin-2018_4.17.1-r36hc72bb7e_0.tar.bz2”h+Œ 22c3b24269d167890d2ef09a7496b998”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rvmmin-2018_4.17.1-r36hc72bb7e_0.tar.bz2”h0Œ@b9ced08fd9968f088f3f29dd087789a8e1ba5b9e13eb8d8c5163015ce039356d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-optextras”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ”d¼¼jhEJáx hFˆubh)”}”(hŒcloup”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cloup-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 480d6fbf089e8e73b56062805a18a9aa”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cloup-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d8776116d504cdffba6bb2542a0c5150623d6e04555958ca7450964f7eecaa31”h2NhNh3Œclick >=8.0,<9.0”Œpython >=3.6”Œtyping-extensions”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÙB=.éyhEMÛ§hFˆubh)”}”(hŒpython-language-server”h#Œ0.36.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2python-language-server-0.36.2-pyhd8ed1ab_0.tar.bz2”h+Œ aebc751778da23fbe31fbb52c8e9ae5a”h.Œ`https://conda.anaconda.org/conda-forge/noarch/python-language-server-0.36.2-pyhd8ed1ab_0.tar.bz2”h0Œ@08865ed43597192947f7e42313abb1b1929a580a1231bc3b0ae484ea2758226c”h2NhNh3(Œautopep8”Œflake8 >=3.8.0”Œjedi >=0.17.2,<0.18.0a0”Œmccabe >=0.6.0,<0.7.0”Œpluggy”Œpycodestyle >=2.6.0,<2.7.0”Œpydocstyle >=2.0.0”Œpyflakes >=2.2.0,<2.3.0”Œpylint >=2.5.0”Œpython >=3.6”Œpython-jsonrpc-server >=0.4.0”Œrope >=0.10.5”Œ
setuptools”Œujson >=3.0”Œyapf”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ô÷bVhEM¼œhFˆubh)”}”(hŒmesa-khr-devel-cos7-aarch64”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7mesa-khr-devel-cos7-aarch64-18.3.4-hdf0574f_102.tar.bz2”h+Œ fcdae07b4eb6c5f8719f8ca6efbae3c4”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-aarch64-18.3.4-hdf0574f_102.tar.bz2”h0Œ@0ee36d4fd0bb4626d9c73b610b45c14b0006ad7571931231878173aad52d3e90”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å*ð8 ÅhEMjhFˆubh)”}”(hŒr-assertive.matrices”h#Œ0.0_2”h%Œr35h6115d3f_1”h'Khhh(h)hŒ0r-assertive.matrices-0.0_2-r35h6115d3f_1.tar.bz2”h+Œ 6a658a98b468fd32157a04c755ac43e0”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.matrices-0.0_2-r35h6115d3f_1.tar.bz2”h0Œ@6f8283387710bd7bd2b8012e50b85ea078369c5a287a998343d36efe10a73219”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.5,<3.6.0a0”†”h9hºh@Œ
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shellcheck”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÅì J=qhEM}FhFˆubh)”}”(hŒmesa-khr-devel-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7mesa-khr-devel-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h+Œ c15cc106483c51e8b580d704b7809573”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h0Œ@f59cbbe576110f10a9fbad2f2146e816e5e708e259f412c69b096175a1a4cd6d”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ë"ÑhEMmhFˆubh)”}”(hŒquantum-blackbird”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,quantum-blackbird-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3cc459da8e927316016466bfbd6df742”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/quantum-blackbird-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f008f53b3abafafd3edcb6c1201455c858dad0bf75993778fc8c77f95c365c1b”h2NhNh3(Œantlr-python-runtime 4.9.2”Œnetworkx”Œnumpy >=1.16”Œpython >=3.6”Œsympy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÔZ€ÄœhEM£§hFˆubh)”}”(hŒ
r-envstats”h#Œ2.7.0”h%Œr41ha770c72_0”h'K hhh(h)hŒ&r-envstats-2.7.0-r41ha770c72_0.tar.bz2”h+Œ 2903a0a0f6358fdae7b9eb4d17826a51”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-envstats-2.7.0-r41ha770c72_0.tar.bz2”h0Œ@551b566b89b11bdb1f2e55bd410280f61b11070dbfb47cd92df93028eee5fe57”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-mass”Œ	r-nortest”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ‹ÓwïžhEJ¤] hFˆubh)”}”(hŒeefolium”h#Œ0.1.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ#eefolium-0.1.2-pyhd3deb0d_0.tar.bz2”h+Œ 64f412816c7ab15469850b27bdd9da4b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/eefolium-0.1.2-pyhd3deb0d_0.tar.bz2”h0Œ@de1d8ea3dc607c2d9c102aa53cf92a0ad897c1fb608ac7abe67e9aaffada79a7”h2NhNh3Œearthengine-api”Œfolium >=0.11.0”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×óJaŠÐåhEM¯hFˆubh)”}”(hŒopentelemetry-sdk”h#Œ0.17b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-opentelemetry-sdk-0.17b0-pyhd8ed1ab_0.tar.bz2”h+Œ 28dc7fa91da5abde0f5a60c88f05c1ca”h.Œ[https://conda.anaconda.org/conda-forge/noarch/opentelemetry-sdk-0.17b0-pyhd8ed1ab_0.tar.bz2”h0Œ@abc365d1ecacd6fc731ed253cdce94e279f666fe21faee50e4a878b210dede2b”h2NhNh3Œopentelemetry-api 0.17b0”Œpython >=3.4”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ[ýÕOßhEMÑŠhFˆubh)”}”(hŒ
build-capi”h#Œ1.1.10”h%Œpy_1”h'Khhh(h)hŒbuild-capi-1.1.10-py_1.tar.bz2”h+Œ e6616870678b921e4d66cf7f9099a602”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/build-capi-1.1.10-py_1.tar.bz2”h0Œ@5730d9f81d4c9b494a7a676bf4254d03069ed3fee336974dab5f6530675c6ace”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐÒåGKÇhEMžhFˆubh)”}”(hŒr-captioner”h#Œ2.2.3”h%Œr41hc72bb7e_1005”h'Míhhh(h)hŒ*r-captioner-2.2.3-r41hc72bb7e_1005.tar.bz2”h+Œ 25d3c3364f1462ad2802bc1f3afc087e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-captioner-2.2.3-r41hc72bb7e_1005.tar.bz2”h0Œ@c1c1b2b9ab5471d211660676ce818f1205959d07a83103b352bed0decc6f84ef”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ¢,¡º^hEMSŸhFˆubh)”}”(hŒr-esabcv”h#Œ1.2.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-esabcv-1.2.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 24146ab037e9a191f104247c57ebc01f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-esabcv-1.2.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@9ea4e485ac7e31117ab6c77e15f2e805b8440ddd5e072aad60e3e0730d9a0e94”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-corpcor”Œr-svd”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ‡¯²hEJ hFˆubh)”}”(hŒr-gganimate”h#Œ1.0.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-gganimate-1.0.8-r40hc72bb7e_0.tar.bz2”h+Œ 374dbe6ca4d7df17c35de39958df8aeb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gganimate-1.0.8-r40hc72bb7e_0.tar.bz2”h0Œ@f60bccd29367a9ab5d65cd62a3500e77bf0ebb6f33c298718c700e93f5319ef1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œr-plyr”Œ
r-progress”Œr-rlang”Œr-scales”Œ	r-stringi”Œr-tweenr >=1.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÆƒì‰‰7hEJþ hFˆubh)”}”(hŒr-ppls”h#Œ1.6_1.1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ'r-ppls-1.6_1.1-r40hc72bb7e_1002.tar.bz2”h+Œ 60ce4ebadb84712c85d7d51f1d8d696a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ppls-1.6_1.1-r40hc72bb7e_1002.tar.bz2”h0Œ@7808c323c6852011128538d8a5d6286780e71a24d96a21dea77b1360a3f5d085”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*ÿ8¿\)hEJæ\ hFˆubh)”}”(hŒpsy-maps”h#Œ1.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#psy-maps-1.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3ed13103dfd46f71dc870d188bd0b276”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/psy-maps-1.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@ead67bebf9ca421a235dc4a7ddbe5539add68599a501262e8e3df404cc4fa8ff”h2NhNh3(Œcartopy”Œ
psy-simple”Œpsyplot”Œpython >=3.7”Œscipy”t”h9h?h@ŒLGPL-3.0-only”hBŒGPL”hDGAØ–™ar°!hEM¿ºhFˆubh)”}”(hŒwebkitgtk-devel-cos6-x86_64”h#Œ1.4.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6webkitgtk-devel-cos6-x86_64-1.4.3-hdf0574f_102.tar.bz2”h+Œ 265c4c5e6af92c1c0448d7fd80499acf”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/webkitgtk-devel-cos6-x86_64-1.4.3-hdf0574f_102.tar.bz2”h0Œ@33c0156ad1b7de828d278303b194286ef5ccd8aaf9a858a9b874a3ec4a0086a1”h2NhNh3Œ#webkitgtk-cos6-x86_64 ==1.4.3 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGA×Åá¢ýôhEJ+ hFˆubh)”}”(hŒbrainglobe-napari-io”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/brainglobe-napari-io-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 5811cfa2bc0e789cabc18e830a9d1a50”h.Œ]https://conda.anaconda.org/conda-forge/noarch/brainglobe-napari-io-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@21bb1af857f702c5803d1b997d7f24dca108071d100ac40bacbc0268eed651d7”h2NhNh3(Œbg-atlasapi”Œbg-space”Œimlib”Œnapari”Œnapari-ndtiffs”Œnapari-plugin-engine >=0.1.4”Œpython >=3.6”Œtifffile >=2020.8.13”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ0„(öhEM˜;hFˆubh)”}”(hŒcockroachdb”h#Œ0.3.3”h%Œpy_0”h'K hhh(h)hŒcockroachdb-0.3.3-py_0.tar.bz2”h+Œ 55ca7be16d508345ad9b3466cdd8061d”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/cockroachdb-0.3.3-py_0.tar.bz2”h0Œ@55c74ff04a109404d27e430a209490a6863604f51f09286ffbe7ae8768e1f793”h2NhNh3(Œpsycopg2”Œpython”Œ
setuptools”Œ
sqlalchemy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×m×LIºhEM5ChFˆubh)”}”(hŒsqlmodel”h#Œ0.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#sqlmodel-0.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ ed65c0d8138a123bdf1581beb9c217b2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sqlmodel-0.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@0d1a8363a8f67ca76b34fcf9ce1275f177a2409b0069d3e5765c2ed39c9ee87f”h2NhNh3(Œpydantic >=1.8.2,<2.0.0”Œpython >=3.6.1,<4.0”Œsqlalchemy >=1.4.17,<=1.4.41”Œsqlalchemy2-stubs”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÃ”t²-hEM\hFˆubh)”}”(hŒr-tufte”h#Œ0.12”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-tufte-0.12-r40hc72bb7e_0.tar.bz2”h+Œ fe5ceb8b7d9be646dc564c8bd0665ca1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tufte-0.12-r40hc72bb7e_0.tar.bz2”h0Œ@f40dee03320b885ad8bb5055f8da3064f42b73b7e8a0c180181da2feae939df6”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-knitr >=1.28”Œr-rmarkdown >=2.1”Œr-xfun >=0.13”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ|×$“hEJÔÝ hFˆubh)”}”(hŒ
r-prabclus”h#Œ2.3_2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-prabclus-2.3_2-r40hc72bb7e_1.tar.bz2”h+Œ 2692c0b3e44759ebe589716763c477a2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prabclus-2.3_2-r40hc72bb7e_1.tar.bz2”h0Œ@13e5dfb5eff2d11ebc8a8170b85264f459d1b022da426646d34b87a1f80219f5”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”Œr-mclust”‡”h9hºh@ŒGPL”hBŒGPL”hDGAØ*Ýì]VhEJ‹ hFˆubh)”}”(hŒr-mgsub”h#Œ1.7.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-mgsub-1.7.3-r41hc72bb7e_0.tar.bz2”h+Œ 12fa4ddb881c9f22febd59de414a8590”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mgsub-1.7.3-r41hc72bb7e_0.tar.bz2”h0Œ@feca19e15453591c090437bd22210af2a71d6cce704ef63123c59b1106c6b6ee”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@xGFhEM5µhFˆubh)”}”(hŒvenv-kernel”h#Œ1.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&venv-kernel-1.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 380a04fdcc1c9f759b8d193ddc487847”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/venv-kernel-1.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@eff0603a0ff1f7c540d056895934cac4346eea9dd65e5c78e3dce30f9781af1d”h2NhNh3(Œipykernel >=5.5,<7”Œpython >=3.6”Œrich >=10.7,<11.0”Œtyper >=0.3.2,<0.4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ^Õ“>—hEM](hFˆubh)”}”(hŒ
r-pheatmap”h#Œ1.0.12”h%Œr40h6115d3f_2”h'Khhh(h)hŒ'r-pheatmap-1.0.12-r40h6115d3f_2.tar.bz2”h+Œ 502b8dabe50f4d9fa103d8c07e75e64d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pheatmap-1.0.12-r40h6115d3f_2.tar.bz2”h0Œ@c7956842a4c4f3e71d1536fc2f8295684b0600afd7442efa1a422a34e4220822”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-gtable”Œr-rcolorbrewer”Œr-scales”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«âÎ6ùÛhEJXa hFˆubh)”}”(hŒrb-i18n”h#Œ1.7.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ rb-i18n-1.7.0-hd4c1694_0.tar.bz2”h+Œ 3650ea758b83e58bbbade2f49b3420a1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-i18n-1.7.0-hd4c1694_0.tar.bz2”h0Œ@9eea4c46a6371187d5ff0e074ba9e6e6c46fe00ae61f3d95f92b374ab12e3cee”h2NhNh3Œrb-concurrent-ruby >=1.0,<2”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×fzçQxÕhEJR@ hFˆubh)”}”(hŒr-fastdummies”h#Œ1.6.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-fastdummies-1.6.3-r40hc72bb7e_0.tar.bz2”h+Œ 3cfe6ade88eb4e4df08a8e07c85e72c9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-fastdummies-1.6.3-r40hc72bb7e_0.tar.bz2”h0Œ@9b8a7810796c0d1a6e8223eebf5f62cb295dd1d22bd0f3b192899f05d936eb65”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ðø¬ýôhEMÀÄhFˆubh)”}”(hŒr-gridpattern”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-gridpattern-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ 8bf3775d94a0a498f9eb37ea1f53a4d1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gridpattern-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@de806886430b354525b2d9db5aa8614b7cfac7ddda493b0824f690ff0e7112db”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-glue”Œ	r-memoise”Œr-png”Œr-rlang”Œr-sf”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÚ}ÐþffhEJñ»  hFˆubh)”}”(hŒr-d3heatmap”h#Œ0.6.1.2”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ,r-d3heatmap-0.6.1.2-r42hc72bb7e_1004.tar.bz2”h+Œ 6795c14a415ed44f4d2286550729e43b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-d3heatmap-0.6.1.2-r42hc72bb7e_1004.tar.bz2”h0Œ@2d422f6e41f3acff51888ad7b1b9ed30d7a93034804f1846b6fce18b4eb6b2fc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-dendextend >=0.18.0”Œr-htmlwidgets”Œr-png”Œr-scales >=0.2.5”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ’ë5VhEJ<ž hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-abind-1.4_5-r36h6115d3f_1002.tar.bz2”h+Œ 6c95feb4116c79174011d7a2ae8f0753”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r36h6115d3f_1002.tar.bz2”h0Œ@0e5c11349ac93b3fefa0561d58e075f7c39f1b78112de90fc505a0817b38e154”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGA×K°£{Æ¨hEJº0 hFˆubh)”}”(hŒlibxscrnsaver-cos6-x86_64”h#Œ1.2.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4libxscrnsaver-cos6-x86_64-1.2.2-hdf0574f_102.tar.bz2”h+Œ 6fe164ea8ab77183064ccfabb198f0e8”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos6-x86_64-1.2.2-hdf0574f_102.tar.bz2”h0Œ@6b69e63ee1b088a0b04a32ee0c08da445d8ed2b4169586d667f260b2d126dce3”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ÂžffhEMÃEhFˆubh)”}”(hŒtableschema”h#Œ1.20.2”h%Œpyh44b312d_0”h'K hhh(h)hŒ'tableschema-1.20.2-pyh44b312d_0.tar.bz2”h+Œ 8fe80b99dcefc95ac288adb62786d7f9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/tableschema-1.20.2-pyh44b312d_0.tar.bz2”h0Œ@63a3f3100da288695156e65433de592494535f920ff85ae9891fbf0b1dfdf17a”h2NhNh3(Œcached-property >=1.5”Œclick >=3.3”Œisodate >=0.5.4”Œjsonschema >=2.5”Œpyrsistent <0.17”Œpython”Œpython-dateutil >=2.4”Œrequests >=2.5”Œrfc3986 >=1.1.0”Œ	six >=1.9”Œtabulator >=1.51.3”Œunicodecsv >=0.14”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ“H¨bhEM¤hFˆubh)”}”(hŒr-colourpicker”h#Œ1.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-colourpicker-1.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 1cac2b16fbacf21423ce9675ed411d76”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-colourpicker-1.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@dea9b2704ab250c60888ad1c93fc9121ca860fe79c865dcac781e06b9af908cc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-htmltools”Œr-htmlwidgets >=0.7”Œ
r-jsonlite”Œr-miniui >=0.1.1”Œr-shiny >=0.11.1”Œr-shinyjs >=2.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÖñ*ŒZhEJ‘» hFˆubh)”}”(hŒ
mplleaflet”h#Œ0.0.5”h%Œpy_3”h'Khhh(h)hŒmplleaflet-0.0.5-py_3.tar.bz2”h+Œ 5d23fa8837d27b07326411ac0e144f6a”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/mplleaflet-0.0.5-py_3.tar.bz2”h0Œ@fcd72422b589fe7c834b7fa2d9931872decac657fbee2089c98ec12f048de07a”h2NhNh3(Œjinja2”Œ
matplotlib”Œpython”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×`ÒiÄjhEM™chFˆubh)”}”(hŒ"xorg-x11-server-common-cos6-x86_64”h#Œ1.17.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ>xorg-x11-server-common-cos6-x86_64-1.17.4-h9b0a68f_105.tar.bz2”h+Œ 460f941d27711db79778eac8aac84877”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos6-x86_64-1.17.4-h9b0a68f_105.tar.bz2”h0Œ@b1c6b0ee0fa3e4d5daea86e5becf421d2e6a76da8d371c00125ce91cc2166133”h2NhNh3Œ!pixman-cos6-x86_64 >=0.30.0 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@YÕJ^5hEMhFˆubh)”}”(hŒ	r-capushe”h#Œ1.1.1”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ(r-capushe-1.1.1-r35h6115d3f_1002.tar.bz2”h+Œ 06f4fd86d061951d7003f7c6bf2d10f3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-capushe-1.1.1-r35h6115d3f_1002.tar.bz2”h0Œ@d9ad41b87d8d08d5f08fdca17a7a88c79973041f3be750e98b8aad6729ce21ab”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-mass”†”h9hºh@ŒGPL (>= 2.0)”hBŒGPL3”hDGA×LŽZä‹DhEJ'Õ hFˆubh)”}”(hŒ
django-ses”h#Œ3.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%django-ses-3.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ aea10da905ebe38bcbffafbd40de7d01”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/django-ses-3.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@59505633b0140cfa61322ffcb09dad1a931058cffb8eade5b6b7b8d8a0241f78”h2NhNh3(Œboto3 >=1.0.0”Œcryptography”Œdjango >=2.2”Œimportlib-metadata”Œpoetry”Œpython >=3.7”Œpytz >=2016.10”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ§FVhEM•jhFˆubh)”}”(hŒpimpmyclass”h#Œ0.4.3”h%Œpy_0”h'K hhh(h)hŒpimpmyclass-0.4.3-py_0.tar.bz2”h+Œ 224e948000db767d301d352e4c3866e3”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pimpmyclass-0.4.3-py_0.tar.bz2”h0Œ@0e8013b22dc62d31f24ae34ec267310d1fa51f8074dc381494007a1ff609da86”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÔÌe×\)hEM¼_hFˆubh)”}”(hŒimgaug”h#Œ0.4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!imgaug-0.4.0-pyhd8ed1ab_1.tar.bz2”h+Œ be5f07159dcfb83b96fad8024f0233e1”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/imgaug-0.4.0-pyhd8ed1ab_1.tar.bz2”h0Œ@f020db2a3db115b9f558fb8e845cbdf3631488ae5e7aeb4a32fd71948100d46b”h2NhNh3(Œimageio”Œmatplotlib-base”Œnumpy >=1.15”Œopencv”Œpillow”Œpython >=3.4”Œscikit-image >=0.14.2”Œscipy”Œshapely”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØs“¡Û#hEJZ hFˆubh)”}”(hŒr-fuzzyjoin”h#Œ0.1.6”h%Œr36_0”h'K hhh(h)hŒr-fuzzyjoin-0.1.6-r36_0.tar.bz2”h+Œ cb5886a4d63dfd2ac7f772ef18abe6d4”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fuzzyjoin-0.1.6-r36_0.tar.bz2”h0Œ@d65ee8a837fb77734ec6d8109e1a0d5906d1ee323b02fefbc1b3cc0b672e2564”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-geosphere”Œr-purrr”Œr-stringdist”Œ	r-stringr”Œr-tidyr >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¯ê|›¦hEJæ hFˆubh)”}”(hŒ
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adjusttext”h#Œ0.7.3.1”h%Œpy_0”h'K hhh(h)hŒadjusttext-0.7.3.1-py_0.tar.bz2”h+Œ c73bc5e36b287d8dbf10d8de9b8bbf59”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/adjusttext-0.7.3.1-py_0.tar.bz2”h0Œ@4e20b2eb02cc7b966892961f5190b6a88b0a418801faa5c78e25ac7d4f128435”h2NhNh3Œ
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r-nlcoptim”h#Œ0.6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-nlcoptim-0.6-r42hc72bb7e_2.tar.bz2”h+Œ 84c56b8d4fca4fe4046f4125ee42bb21”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nlcoptim-0.6-r42hc72bb7e_2.tar.bz2”h0Œ@f6d41e5029cc58cc9ed676a4fce17ba3a8abf4889cc720906c1674cea65bc576”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”Œ
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Apache-2.0”hBŒAPACHE”hDGAØ·ópkohEJLU	 hFˆubh)”}”(hŒkbatch”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!kbatch-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ a50140583a74d89eeb0722e44650a02b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/kbatch-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f96de17c543c301dfac066e58681b1b2a1cce9f94bb91d175ffbd024ea7f98e2”h2NhNh3(Œclick”Œhttpx”Œpython >=3.6”Œpython-kubernetes”Œpyyaml”Œrich”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÆÍ²-hEMµAhFˆubh)”}”(hŒ	rio-mucho”h#Œ1.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$rio-mucho-1.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ 78d7f53344b0c2f0ffed61ba3ccfcefe”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rio-mucho-1.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@e46f69a6c12d035d63a4020a8557b6eb5f0b3fe0d3212d1aec7f933a4ad5b6c4”h2NhNh3Œnumpy”Œpython”Œrasterio ~=1.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×¿;ŒäýôhEM%hFˆubh)”}”(hŒlibxt-cos7-ppc64le”h#Œ1.1.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ-libxt-cos7-ppc64le-1.1.5-hdf0574f_102.tar.bz2”h+Œ 3ed1a5bc60fbfeaa18d3d91c7d365822”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxt-cos7-ppc64le-1.1.5-hdf0574f_102.tar.bz2”h0Œ@6a986943fd56ed68b6854ee842e41eddbca2e989fab8115880b138349f6388a9”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶P~úhEJÔ hFˆubh)”}”(hŒr-chemometrics”h#Œ1.4.2”h%Œr36_1002”h'Mêhhh(h)hŒ%r-chemometrics-1.4.2-r36_1002.tar.bz2”h+Œ 0636c808ee80ea223b25428c05faa562”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-chemometrics-1.4.2-r36_1002.tar.bz2”h0Œ@7f9d51d5f4acec4c2e151da276a2a0fbe33e026e1def5d46db448b14f3a09f6c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-class”Œr-e1071”Œr-lars”Œr-mass”Œr-mclust”Œr-nnet”Œr-pcapp”Œr-pls”Œr-robustbase”Œr-rpart”Œr-som”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬öæÛ#hEJM5? hFˆubh)”}”(hŒnapari-3d-ortho-viewer”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1napari-3d-ortho-viewer-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ ba814ee5affda41b29d03121ce9577e6”h.Œ_https://conda.anaconda.org/conda-forge/noarch/napari-3d-ortho-viewer-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f19922e61f9ca1024c3ce4745f08856de985d182cfce37469d510312ef9fd608”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØMÿ hEMz0hFˆubh)”}”(hŒ
r-mapplots”h#Œ1.5.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ)r-mapplots-1.5.1-r41hc72bb7e_1002.tar.bz2”h+Œ a796f16fcedfa3bf773572663a151581”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mapplots-1.5.1-r41hc72bb7e_1002.tar.bz2”h0Œ@04ab63cf75196c3675d79c6f3c19e3e17153490db04d7dc16cb835b8ad1443cc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+"·ÆÙhEJÇ¾ hFˆubh)”}”(hŒr-gganimate”h#Œ1.0.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-gganimate-1.0.8-r42hc72bb7e_1.tar.bz2”h+Œ 93020c38b25d91c97a8debb3c07fd736”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gganimate-1.0.8-r42hc72bb7e_1.tar.bz2”h0Œ@e91921b5c0d3bbb5e64a700459f3a1caaf81743a4ebcb2aa10b410ae11ef1798”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œr-plyr”Œ
r-progress”Œr-rlang”Œr-scales”Œ	r-stringi”Œr-tweenr >=1.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒw©eó¶hEJÄ hFˆubh)”}”(hŒ	pygrametl”h#Œ2.7”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"pygrametl-2.7-pyhd8ed1ab_1.tar.bz2”h+Œ 13838df05f86c178c33b4504a18123de”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pygrametl-2.7-pyhd8ed1ab_1.tar.bz2”h0Œ@9dd5843060164082df8bb23ebc7cd6f4323c2b154ef3a6a57f5a69164e90be6f”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØeª0QìhEJg hFˆubh)”}”(hŒ	r-biomark”h#Œ0.4.5”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ)r-biomark-0.4.5-r351h6115d3f_1001.tar.bz2”h+Œ 2270abca99f4c6e32589953e4a29c2b2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-biomark-0.4.5-r351h6115d3f_1001.tar.bz2”h0Œ@8c32ce23a0c983deb75752f67fe33fdcd6bc47c2126b1fbe9cbefc5999199380”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-glmnet”Œr-mass”Œr-pls”Œr-st >=1.1.6”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖþ{Ub°!hEJòî hFˆubh)”}”(hŒr-shadowtext”h#Œ0.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-shadowtext-0.1.2-r42hc72bb7e_1.tar.bz2”h+Œ 797ba4c838d59e8aa58b8ce3f338a9ee”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shadowtext-0.1.2-r42hc72bb7e_1.tar.bz2”h0Œ@0de39193244cce6a407973572faff75f02b6a4b0696cb845bd2a0adae744eaa1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-scales”‡”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÒ—/hEJžÔ hFˆubh)”}”(hŒ
conda-flow”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%conda-flow-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 21d244b8ce6a3fc23d31f425de42e626”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/conda-flow-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@8967c6bbb351633b4ced9a732a61f3835282474464b29dbbfa49413983c8d4d3”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØEºÚ½p¤hEMó;hFˆubh)”}”(hŒpyflashtext”h#Œ2.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pyflashtext-2.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1b1869183730653f394e64413594e764”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pyflashtext-2.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a5a876016eb1f0aa0adb86445653faec4d5423614a50d8bdd530d75a03771b16”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÇí!ûçhEM 5hFˆubh)”}”(hŒnspr-cos7-ppc64le”h#Œ4.21.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.nspr-cos7-ppc64le-4.21.0-hdf0574f_1102.tar.bz2”h+Œ 3b44da4500a9fd1d162025ebecce2402”h.Œ\https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-ppc64le-4.21.0-hdf0574f_1102.tar.bz2”h0Œ@61a4f12f6c1f372a8fe2fd9cf0d4aa0bf3df33c89b38d6748335e4dc4b60d472”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+T¹%hEJƒ7 hFˆubh)”}”(hŒ	tabulator”h#Œ1.53.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%tabulator-1.53.5-pyhd8ed1ab_0.tar.bz2”h+Œ c967687222ad29a74f68e99698d08d30”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/tabulator-1.53.5-pyhd8ed1ab_0.tar.bz2”h0Œ@b5fb89f1154cf6b5e620c18a9c4f73c7b79afa72a7e3e840a82e225a90955335”h2NhNh3(Œboto3 >=1.9”Œchardet >=3.0”Œclick >=6.0”Œijson >=3.0.3”Œjsonlines >=1.1”Œlinear-tsv >=1.0”Œopenpyxl >=2.6”Œ
python >=3”Œrequests >=2.8”Œ	six >=1.9”Œsqlalchemy >=0.9.6”Œunicodecsv >=0.14”Œ
xlrd >=1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÆ¢£hEM¡hFˆubh)”}”(hŒchemper”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"chemper-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ c6c4528d03428d3a4c622c0597431721”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/chemper-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@20d44b9b5c1daa1f7cf396c1532935f7a2c679e7944c62ae3dcc9ab3834d0d36”h2NhNh3(Œnetworkx”Œnumpy”Œpython >=3.6”Œrdkit”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥“NáXhEJñ£ hFˆubh)”}”(hŒ
r-settings”h#Œ0.2.7”h%Œr40h785f33e_0”h'K hhh(h)hŒ&r-settings-0.2.7-r40h785f33e_0.tar.bz2”h+Œ e26f7b654f0c1367f6880bad9a6cedb9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-settings-0.2.7-r40h785f33e_0.tar.bz2”h0Œ@dc09807fe1524b7dad1a95b69fa3977d37aae349f1d9e0b66026672dca24b588”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL”hDGAØ%\÷	G®hEJÃ' hFˆubh)”}”(hŒlibxdamage-devel-cos7-x86_64”h#Œ1.1.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ8libxdamage-devel-cos7-x86_64-1.1.4-ha826a6f_1103.tar.bz2”h+Œ f0211a38c483bda6cc938f5278af36dc”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-x86_64-1.1.4-ha826a6f_1103.tar.bz2”h0Œ@5d835073a1ff657bf016132a0d89c5afbe4bb27f9165eddb397be3fd752eb10a”h2NhNh3Œ%libxdamage-cos7-x86_64 ==1.1.4 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0êu²-hEMDhFˆubh)”}”(hŒipycytoscape”h#Œ1.3.3”h%Œpyhc268e32_0”h'K hhh(h)hŒ'ipycytoscape-1.3.3-pyhc268e32_0.tar.bz2”h+Œ 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2ed11a121e657b180fa6c34ae5c28d32”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libglvnd-gles-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@43606fdb3c82da3d454a5b07c2427c33f8ce7439fb0bcb2e007b1edf0c5adc13”h2NhNh3Œ#libglvnd-cos7-ppc64le ==1.0.1 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‹“ÂñªhEM·hFˆubh)”}”(hŒr-filematrix”h#Œ1.3”h%Œr351h6115d3f_0”h'K hhh(h)hŒ'r-filematrix-1.3-r351h6115d3f_0.tar.bz2”h+Œ 142e5dc4aebbfcadb33a07a1bbf2deb3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-filematrix-1.3-r351h6115d3f_0.tar.bz2”h0Œ@3a6880f988471a33e2804f68caf51f2213ef9774aacb2c6ce12fe7f660f537f2”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×ÔµÒòhEJpý hFˆubh)”}”(hŒr-squash”h#Œ1.0.9”h%Œr36_1”h'Khhh(h)hŒr-squash-1.0.9-r36_1.tar.bz2”h+Œ 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r-generics”Œ
r-magrittr”Œr-reticulate >=1.10”Œr-rlang”Œr-tensorflow >=1.13.1”Œr-tfestimators”Œr-tidyselect”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÔº¤ZhEJØ# hFˆubh)”}”(hŒ
r-wheatmap”h#Œ0.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-wheatmap-0.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 708d4bdc539cdef165348b8cb82b8cfe”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wheatmap-0.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@336b1f20b2b853150263bbd05099b510f1873ddc79f4c4926b42f82bab016fb2”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-colorspace”Œr-rcolorbrewer”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ†ù^$ÝhEJl hFˆubh)”}”(hŒdiceware”h#Œ0.9.6”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ#diceware-0.9.6-pyhd3deb0d_1.tar.bz2”h+Œ ce0dd57e29574e1e46735fa53297e407”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/diceware-0.9.6-pyhd3deb0d_1.tar.bz2”h0Œ@d0e384374debde3426433d4e0fd16803155c7d266e3a22ddd2d395a3df34e740”h2NhNh3Œpython”Œ
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r-ggridges”h#Œ0.5.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-ggridges-0.5.4-r41hc72bb7e_1.tar.bz2”h+Œ a8efc7913927a4c56cc45560320b8042”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggridges-0.5.4-r41hc72bb7e_1.tar.bz2”h0Œ@8e91794ce566d45acb94c92e9368f35625e57a82897741a4299a9b03c0f38d0e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-plyr >=1.8.0”Œr-scales >=0.4.1”Œr-withr >=2.1.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑxÚ-hEJ" hFˆubh)”}”(hŒr-tilegramsr”h#Œ0.2.0”h%Œr351h6115d3f_1”h'Khhh(h)hŒ)r-tilegramsr-0.2.0-r351h6115d3f_1.tar.bz2”h+Œ 16dba592fe811a9990a1a7cfe3795741”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tilegramsr-0.2.0-r351h6115d3f_1.tar.bz2”h0Œ@64ca8c99693d4ad3d5f788c0d471e79b10460bdb2f956cdb48d82da3e1225209”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-sf”Œr-sp”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×6ø!|záhEJXP hFˆubh)”}”(hŒ	min-dalle”h#Œ0.4.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%min-dalle-0.4.11-pyhd8ed1ab_0.tar.bz2”h+Œ d268fd3fe67e8bb972f399a69241a9bd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/min-dalle-0.4.11-pyhd8ed1ab_0.tar.bz2”h0Œ@fbbb4162e4c6799ab2ffe70439904a7979d4d0ed150fec36cf43c987f9ef2475”h2NhNh3(Œemoji”Œnumpy >=1.21”Œpillow >=7.1”Œpython >=3.6”Œpytorch >=1.11”Œrequests >=2.23”Œtyping_extensions >=4.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØºö	º^hEM@5hFˆubh)”}”(hŒgtk2-cos6-x86_64”h#Œ2.24.23”h%Œhdf0574f_102”h'Kfhhh(h)hŒ-gtk2-cos6-x86_64-2.24.23-hdf0574f_102.tar.bz2”h+Œ 072f0833a4985854fd3f5d7859fffda4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/gtk2-cos6-x86_64-2.24.23-hdf0574f_102.tar.bz2”h0Œ@c39c23804b02769485a2eb8812c95efe0103f28ac5eb7e17e0a3b38c7b6d52ab”h2NhNh3(Œatk-cos6-x86_64 >=1.29.4 *_102”Œ glib2-cos6-x86_64 >=2.28.0 *_102”Œ libx11-cos6-x86_64 >=1.5.0 *_102”Œ&libxrandr-cos6-x86_64 >=1.2.99.4 *_102”Œ pango-cos6-x86_64 >=1.20.0 *_102”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi•C–hEJî7 hFˆubh)”}”(hŒtrident-chemwidgets”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.trident-chemwidgets-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ f87eda2d3d7c3499e1cde970a6bbd959”h.Œ\https://conda.anaconda.org/conda-forge/noarch/trident-chemwidgets-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@36c6401a0728ffbfeed92796b8b8b6b3cd66e93603b1bf3ed47cf6c07446cc2d”h2NhNh3Œipywidgets >=7.0.0”Œpandas >=1.0.0”Œpython >=3.8”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¯„d9XhEJôMÊ hFˆubh)”}”(hŒdtool-lookup-client”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.dtool-lookup-client-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ a9304b93c53d16184c1bdd9fe9106833”h.Œ\https://conda.anaconda.org/conda-forge/noarch/dtool-lookup-client-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@43ff5b471833ff9bf80e57f37380b2e533356f43e14463a73eca3bf9c39fad58”h2NhNh3(Œclick”Œdtool_cli >=0.6.0”Œdtool_config >=0.1.1”Œdtoolcore >=3.9.0”Œpygments”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØN:§;dhEMZhFˆubh)”}”(hŒr-rpmg”h#Œ2.2_3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-rpmg-2.2_3-r42hc72bb7e_2.tar.bz2”h+Œ fd6b5dd5ba39779d3a0ea05efaf7432c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpmg-2.2_3-r42hc72bb7e_2.tar.bz2”h0Œ@b94ef6627a0d75e088e4384d85b917eeff15232a7d7b1940122e438fad8d0200”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐ±Õî5?hEJ_R hFˆubh)”}”(hŒkernel-headers-cos6-x86_64”h#Œ2.6.32”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6kernel-headers-cos6-x86_64-2.6.32-hdf0574f_102.tar.bz2”h+Œ 6a7a116386078a3b6ca9e212e8a11379”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos6-x86_64-2.6.32-hdf0574f_102.tar.bz2”h0Œ@116a629d1364fdad6e90060944a3e1a712300dad3aac26c5dacce161dae144fd”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Å+ä¬hEJå
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r-magrittr”Œ
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¢hFˆubh)”}”(hŒr-textclean”h#Œ0.9.3”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ*r-textclean-0.9.3-r36h6115d3f_1001.tar.bz2”h+Œ eea30a5e1f2073336233eedc7e470a47”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-textclean-0.9.3-r36h6115d3f_1001.tar.bz2”h0Œ@8dbe43e8518e324e0884d2465e27ec56c9ff728b6f2d29e2f32defc3e0d2b9b3”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-english >=1.0_2”Œr-glue >=1.3.0”Œr-lexicon >=1.0.0”Œr-mgsub >=1.5.0”Œr-qdapregex”Œ	r-stringi”Œr-textshape >=1.0.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LW”ªñªhEJfð hFˆubh)”}”(hŒr-xaringanthemer”h#Œ0.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-xaringanthemer-0.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 6bc85ccbed7a87b2d942765ed9b980cb”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-xaringanthemer-0.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@373a414d75a6184456b87ae45514ec04c7d61ed7dbc59f2f7035803430b10e51”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-colorspace”Œr-glue”Œr-purrr”Œ	r-whisker”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÀ\ÆVhEJTû hFˆubh)”}”(hŒmrc”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmrc-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ bce4b0242944c53eee0609287bddaa94”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/mrc-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3d08ce114457bcc3945f1dbadddc81602723b57efb1f50d7f49c1fc9aa6a8bf2”h2NhNh3Œnumpy”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‚|;"ÑhEMthFˆubh)”}”(hŒr-locfdr”h#Œ1.1_8”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ'r-locfdr-1.1_8-r40ha770c72_1002.tar.bz2”h+Œ ba6be766f647c188e4f0fe177f9dcd34”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-locfdr-1.1_8-r40ha770c72_1002.tar.bz2”h0Œ@d1a2c00cc8d605aabf73c9ce83f3504ad85a73b92cb566bf7e1a54e705fa1a7f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+˜È´9hEJÞí hFˆubh)”}”(hŒ	r-emdbook”h#Œ1.3.12”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-emdbook-1.3.12-r40h6115d3f_1.tar.bz2”h+Œ d729859fcccce777fa9e3dd6fe2f9909”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-emdbook-1.3.12-r40h6115d3f_1.tar.bz2”h0Œ@bbd4f2eedae3dc6b366fc778c7f6ba6abfea8144ff46cd893cae7c9026ceec1f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bbmle”Œr-coda”Œ	r-lattice”Œr-mass”Œr-plyr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬ÚnMÓhEJR| hFˆubh)”}”(hŒ
r-barcoder”h#Œ0.1.7”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-barcoder-0.1.7-r41hc72bb7e_1.tar.bz2”h+Œ 038bee75a144780a64e963a998a8b333”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-barcoder-0.1.7-r41hc72bb7e_1.tar.bz2”h0Œ@64354ab7dcb70ab2e3f9fa5dafd2641ee038f6a66d8ceaa1078f2a5960463890”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-dt >=0.3”Œr-miniui >=0.1.1”Œr-qrcode”Œr-rstudioapi”Œr-shiny >=0.13”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ©X=hEJ¿¢ hFˆubh)”}”(hŒlibxdamage-cos7-ppc64le”h#Œ1.1.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2libxdamage-cos7-ppc64le-1.1.4-hdf0574f_102.tar.bz2”h+Œ d15e8edeb8f80781d4d429108fd0618f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-ppc64le-1.1.4-hdf0574f_102.tar.bz2”h0Œ@7c18bd4a1617a1480bb7d9336d6ce2c1927867be3e13cd0856e13aea5f620778”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å*êD1hEMüAhFˆubh)”}”(hŒkeplergl”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#keplergl-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 2da1fd6215f459914aae93d0c5078e30”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/keplergl-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@121e241a212d33c1f819a142d1c51e0ed03a805a15531af31a531a6f5c686396”h2NhNh3(Œgeopandas >=0.9.0”Œipywidgets >=7.6.3”Œpandas >=1.3.1”Œpython >=3.6”Œshapely >=1.7.1”Œtraittypes >=0.2.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØP¼OïžhEJ8Åß hFˆubh)”}”(hŒpyte”h#Œ0.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpyte-0.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2442b0640c5ea4282fe4e34aa7880585”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyte-0.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2680b846441bb7cb7862b1e4c6bf30ac8541f72eaac6a6e8d977bb258edaf004”h2NhNh3Œpython >=3.6”Œwcwidth”†”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ©ÜeãThEMôvhFˆubh)”}”(hŒr-ggplot.multistats”h#Œ1.0.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ/r-ggplot.multistats-1.0.0-r42hc72bb7e_2.tar.bz2”h+Œ 76be9ad1d89feac28001ee29c7f35260”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-ggplot.multistats-1.0.0-r42hc72bb7e_2.tar.bz2”h0Œ@04fc3ac7dd7cacff4139f21d6199736507047f0d2a48921a919969af9ed0376a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-hexbin”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒq²\hEMÕÃhFˆubh)”}”(hŒparfive”h#Œ2.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"parfive-2.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 69bf7d0565bda491727179b78d0dd273”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/parfive-2.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@a6d76d6899a023e5d0488618fb2df72db46230262d582b69900003903c02a10d”h2NhNh3(Œaiofiles”Œaioftp”Œaiohttp”Œpython >=3.7”Œ
setuptools”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÖºKWÎÙhEMñehFˆubh)”}”(hŒlibxinerama-cos7-aarch64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libxinerama-cos7-aarch64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ dd90d3d2f69994aa8c7a4e552548d723”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-aarch64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@b079a8a4693e806ed9eff60ed61304d6fa283193fd5d8f38abe0f7dcb2ffacaf”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2û»t¼hEMx+hFˆubh)”}”(hŒr-r2dii.data”h#Œ0.3.1”h%Œr41h4a5366e_0”h'K hhh(h)hŒ(r-r2dii.data-0.3.1-r41h4a5366e_0.tar.bz2”h+Œ 108f6635bd324ebc9ef6f708d84b48b8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r2dii.data-0.3.1-r41h4a5366e_0.tar.bz2”h0Œ@55447df190fd086d934e5d63d8b366cd2900c1f5dd8b1c5f603ed868caaf61a5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lifecycle”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÏ˜A>vÉhEJ: hFˆubh)”}”(hŒ
r-textstem”h#Œ0.1.4”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ&r-textstem-0.1.4-r42hc72bb7e_3.tar.bz2”h+Œ 285741688a99909273abf175973ed718”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-textstem-0.1.4-r42hc72bb7e_3.tar.bz2”h0Œ@daaf2e1666481ca82e8e694faa2f38b2737876bca18dd1cfe95480368889c317”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-hunspell”Œr-korpus”Œr-korpus.lang.en”Œr-lexicon >=0.4.1”Œr-quanteda >=0.99.12”Œr-snowballc”Œ	r-stringi”Œr-textclean”Œr-textshape”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑý~¥hEJ4 hFˆubh)”}”(hŒ xorg-x11-server-xvfb-cos7-x86_64”h#Œ1.20.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ=xorg-x11-server-xvfb-cos7-x86_64-1.20.4-ha826a6f_1103.tar.bz2”h+Œ 6c1dfd50d0c9e79a4a6a9ec7f5a6356f”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos7-x86_64-1.20.4-ha826a6f_1103.tar.bz2”h0Œ@5888bef564d8cfadc6a9f708ae42cad51931e48c160e9c3f0e4a382b797a11b5”h2NhNh3Œsysroot_linux-64 2.17.*”Œ2xorg-x11-server-common-cos7-x86_64 >=1.20.4 *_1103”†”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGA×Æ2<ê\hEJø hFˆubh)”}”(hŒlibnl3-devel-cos7-aarch64”h#Œ3.2.28”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libnl3-devel-cos7-aarch64-3.2.28-h9d98e8f_1104.tar.bz2”h+Œ 4b117c142aa6b0612445b7da3a50f7da”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos7-aarch64-3.2.28-h9d98e8f_1104.tar.bz2”h0Œ@b113b6034d89d0d49140bff9a044d19abf2405a309c33b4c4feda61405473ff0”h2NhNh3Œ'libnl3-cli-cos7-aarch64 ==3.2.28 *_1104”Œ#libnl3-cos7-aarch64 ==3.2.28 *_1104”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É~+€å`hEMÕßhFˆubh)”}”(hŒwindse”h#Œ2018.1.0_0.8”h%Œpy_0”h'K hhh(h)hŒ windse-2018.1.0_0.8-py_0.tar.bz2”h+Œ 701665875dc9fe1ac4712cd994e20c2f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/windse-2018.1.0_0.8-py_0.tar.bz2”h0Œ@1454fb654da4d35ab21e7f8f64014040a6f80e6c53f24413f9cc55d87767bab6”h2NhNh3(Œdolfin-adjoint 2018.1.0.*”Œfenics 2018.1.0.*”Œ
matplotlib”Œmshr”Œpython >=3.5”Œpyyaml”Œscipy”t”h9h?h@Œ
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et_xmlfile”Œjdcal”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×D¢	1%hEJe1 hFˆubh)”}”(hŒpyrender”h#Œ0.1.45”h%Œpyh8a188c0_2”h'Khhh(h)hŒ$pyrender-0.1.45-pyh8a188c0_2.tar.bz2”h+Œ 0149428266eea626ddc2886e187c97ac”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyrender-0.1.45-pyh8a188c0_2.tar.bz2”h0Œ@19d5382c52af382d91aeb95a84867c0f7d9e93a53b67ddbfef8914d73d902cb5”h2NhNh3(Œdataclasses”Œfreetype-py”Œimageio”Œnetworkx”Œnumpy”Œpillow”Œpyglet >=1.4.10”Œpyopengl 3.1.0”Œpython >=3.6”Œscipy”Œsix”Œtrimesh”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŠÝÙ"ÑhEJ'hFˆubh)”}”(hŒjupyterlab-tour”h#Œ3.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*jupyterlab-tour-3.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ f024235b373fbc757d7cd13b0b32c4dc”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-tour-3.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@bcdc9c768e7cfe81a3e8f1a39d62c620bb303eb249e49a09371836a08a39d7a5”h2NhNh3Œjupyterlab >=3.0.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ_¤Ú¬hEJ
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python >=3”†”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×“
í¡ËhEJY hFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œr36_1002”h'Mêhhh(h)hŒr-mcpan-1.1_21-r36_1002.tar.bz2”h+Œ 1f0790b9b319238d9f8ba9bf295a55a0”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r36_1002.tar.bz2”h0Œ@1fc93dcf9d69f19ea5ebfccbf242e9c379a6c8b6622d978af0965b05753021e6”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬ìÎÈ´hEJzá hFˆubh)”}”(hŒ
r-grplasso”h#Œ0.4_7”h%Œr42ha770c72_1”h'Khhh(h)hŒ&r-grplasso-0.4_7-r42ha770c72_1.tar.bz2”h+Œ 31554f3bbb83f37bd89405b6fe1ba9fd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-grplasso-0.4_7-r42ha770c72_1.tar.bz2”h0Œ@e141e6d0dd852756c7aaaafc31f16a68678ebca5c38a472f94f1288d9bc9ee90”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAØÑ©É-¡ËhEJd hFˆubh)”}”(hŒlibsoup-cos6-x86_64”h#Œ2.34.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libsoup-cos6-x86_64-2.34.3-h9d98e8f_104.tar.bz2”h+Œ 550f440f7f8be1900bc12080892ade3f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libsoup-cos6-x86_64-2.34.3-h9d98e8f_104.tar.bz2”h0Œ@4fa7cbba0e36aaa511a41bbbd93282a5261834a4f2194ad1d36214a8d274dbe4”h2NhNh3Œ+glib-networking-cos6-x86_64 >=2.27.90 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É{'¡XhEJÆ hFˆubh)”}”(hŒlibxt-devel-cos6-x86_64”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ2libxt-devel-cos6-x86_64-1.1.4-ha826a6f_103.tar.bz2”h+Œ 2a28aa1f29f95553c5bc507734abc9fa”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos6-x86_64-1.1.4-ha826a6f_103.tar.bz2”h0Œ@16546699b414f196f674941524e6a830ee1036614a8475ec31dd3a2fcca5f43f”h2NhNh3Œlibxt-cos6-x86_64 ==1.1.4 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2˜¡ËhEJs hFˆubh)”}”(hŒr-scrime”h#Œ1.3.5”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-scrime-1.3.5-r40h6115d3f_1.tar.bz2”h+Œ 4dc608f54c8d8251de5e2b146fdeff5d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-scrime-1.3.5-r40h6115d3f_1.tar.bz2”h0Œ@3be0fc127d8dd0a42cc054d7f69bf27b02eb5ece75fa9c0956fe6842ff7502eb”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬>s©%hEJ‹( hFˆubh)”}”(hŒr-chemometricswithr”h#Œ0.1.13”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ0r-chemometricswithr-0.1.13-r41hc72bb7e_2.tar.bz2”h+Œ 14fbb7b03fd6b8b0b6b62d6c11cdc42d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-chemometricswithr-0.1.13-r41hc72bb7e_2.tar.bz2”h0Œ@e7058fd9bc5686e938ecbbe7d5e100b70ba948047f377055cb417fdce8acab79”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-devtools”Œ	r-kohonen”Œr-mass”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,ºBáHhEJ¢k hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGAØÑ¢8a™šhEJÇÃ hFˆubh)”}”(hŒ	rb-minima”•      h#Œ2.5.1”h%Œ
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r-grplasso”h#Œ0.4_7”h%Œr40_0”h'K hhh(h)hŒr-grplasso-0.4_7-r40_0.tar.bz2”h+Œ f1cfc18cf5e8625258669d4bf84bb160”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-grplasso-0.4_7-r40_0.tar.bz2”h0Œ@f5f20ac36ad4ee53c68b10a996e1c9a86b1d31c4250e1884f2a4348b2d86eaa1”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGA×­É»•hEJIY hFˆubh)”}”(hŒ
r-epitools”h#Œ0.5_10.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-epitools-0.5_10.1-r41hc72bb7e_0.tar.bz2”h+Œ bd451b2d8af379d8f5cf5cbda5b03978”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-epitools-0.5_10.1-r41hc72bb7e_0.tar.bz2”h0Œ@1434cfb729b6cf2a84d497a8bab4f5eeba0c80c8367b5498965d90d4354d6a91”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÙ3ÿ—hEJ+ hFˆubh)”}”(hŒr-rpmg”h#Œ2.2_3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ"r-rpmg-2.2_3-r40h6115d3f_1.tar.bz2”h+Œ ec75096cd4e91e02f29f7bc139531b06”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpmg-2.2_3-r40h6115d3f_1.tar.bz2”h0Œ@85ce1c015e79b257ea550931e12a797e3ed1cca758d3a7609698abb6931a41b0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«ç»eãThEJ¡K hFˆubh)”}”(hŒflask”h#Œ1.0.2”h%Œpy_2”h'Khhh(h)hŒflask-1.0.2-py_2.tar.bz2”h+Œ d7743f2ab13f514a896d4271782b53a6”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/flask-1.0.2-py_2.tar.bz2”h0Œ@88df491a7109a297636d3643270c933247f6563620f2a3f28522e423ede1f77b”h2NhNh3(Œclick >=5.1”Œitsdangerous >=0.24”Œjinja2 >=2.10”Œpython”Œwerkzeug >=0.14”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖéÝ';dhEJÚ hFˆubh)”}”(hŒlibxt-cos7-ppc64le”h#Œ1.1.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.libxt-cos7-ppc64le-1.1.5-hdf0574f_1102.tar.bz2”h+Œ 99cd30a1b5d57713581c90702e650af3”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxt-cos7-ppc64le-1.1.5-hdf0574f_1102.tar.bz2”h0Œ@ffe23edb0a004440cff1773da507e6ef04e8b4bd7549cfed7472e124312c7665”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´·‘hshEJÔ hFˆubh)”}”(hŒjupyterlab_miami_nights”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2jupyterlab_miami_nights-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 9ea228c559d93eb43db9564aded3ccdc”h.Œ`https://conda.anaconda.org/conda-forge/noarch/jupyterlab_miami_nights-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d270de8df11965398efb45f89256f9aab45a3a5b15173758295429367bc172eb”h2NhNh3Œjupyterlab ~=3.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ5…j÷ÏhEJ²Ù hFˆubh)”}”(hŒr-cvst”h#Œ0.2_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-cvst-0.2_3-r41hc72bb7e_1.tar.bz2”h+Œ cf7d4d19c6052ec7ba350b9c2608d458”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-cvst-0.2_3-r41hc72bb7e_1.tar.bz2”h0Œ@fc1f02e1e623bbedc2b4d9c9e4fee4548f0c553236e48eb66c1a425fd30f4065”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-kernlab”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑZjG®hEJ^š hFˆubh)”}”(hŒoutdated”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#outdated-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ c41772ebee530734babf1cfda7059fdf”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/outdated-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d234f15e75311ab53343ea5b997914faf35651887263700f49e6b9afa53279a0”h2NhNh3(Œlittleutils”Œpython >=3.5”Œrequests”Œsetuptools >=44”t”h9h?h@ŒMIT”hBŒMIT”hDGAØØ˜'‚ÀƒhEM,hFˆubh)”}”(hŒ
r-relaimpo”h#Œ2.2_6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-relaimpo-2.2_6-r41hc72bb7e_0.tar.bz2”h+Œ 36445ca91f053b296f9817dae8c8d8d3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-relaimpo-2.2_6-r41hc72bb7e_0.tar.bz2”h0Œ@d459f6285469f4c2e3f3083ff30e1b64cd9e60abbf6e7031b90e5a447b7ce8f3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œ	r-corpcor”Œr-mass”Œ	r-mitools”Œr-survey”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ\=°˜ ÅhEJ¶– hFˆubh)”}”(hŒr-dynamictreecut”h#Œ1.63_1”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ0r-dynamictreecut-1.63_1-r36h6115d3f_1003.tar.bz2”h+Œ 92adc31372bedd9e8cd606fd63243045”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-dynamictreecut-1.63_1-r36h6115d3f_1003.tar.bz2”h0Œ@71d1ddbaa4684559a9cd53818c53ff53bb6482d11aef13ea564344cca8773bc8”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×¬ƒl‹hEJå— hFˆubh)”}”(hŒcairo-devel-cos7-ppc64le”h#Œ1.15.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6cairo-devel-cos7-ppc64le-1.15.12-h9b0a68f_1105.tar.bz2”h+Œ 46f70b066e3d9e9ec7c87a541591ff9f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-ppc64le-1.15.12-h9b0a68f_1105.tar.bz2”h0Œ@01754c85403ece57b878658da5bd5ce01d0afbf26268b83dc8bf01a29218b3fb”h2NhNh3Œ#cairo-cos7-ppc64le ==1.15.12 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGAØ@ŒA®VhEJúÆ hFˆubh)”}”(hŒ	r-threejs”h#Œ0.3.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-threejs-0.3.3-r42hc72bb7e_2.tar.bz2”h+Œ 41c94181bc7452921add480b81a160f1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-threejs-0.3.3-r42hc72bb7e_2.tar.bz2”h0Œ@80463431cf7ce5ba4958ffdafb5a39d9f48de4eee5eacf21351facc1e7649e4d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-crosstalk”Œr-htmlwidgets >=0.3.2”Œr-igraph >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑx÷1º^hEJ™[ hFˆubh)”}”(hŒdexpy”h#Œ0.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdexpy-0.12-pyhd8ed1ab_0.tar.bz2”h+Œ b14b0336bf24120ecc8506b6e13b6c40”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/dexpy-0.12-pyhd8ed1ab_0.tar.bz2”h0Œ@f76b2da097e4bc5859afd03d95d72378816cc2895c894162d59a0bc8f84b3518”h2NhNh3(Œnumpy”Œpandas”Œpatsy”Œpython >=3.6”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØL@± hEMxhFˆubh)”}”(hŒowslib”h#Œ0.26.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"owslib-0.26.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7879ac231d83e9ff290c82ef239ed3a5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/owslib-0.26.0-pyhd8ed1ab_0.tar.bz2”h0Œ@717d818c0e5b53401cdbe3f80b1317d3874f13423a9cb6ee6bd6c71414df2450”h2NhNh3(Œpyproj <3.3.0”Œpython >=3.7”Œpython-dateutil >=1.5”Œpytz”Œpyyaml”Œrequests >=1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ©Ìøü9XhEJ6$ hFˆubh)”}”(hŒnspr-cos7-x86_64”h#Œ4.21.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ-nspr-cos7-x86_64-4.21.0-ha826a6f_1103.tar.bz2”h+Œ 270b7d9f37b278b409c0a80391c3d549”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-x86_64-4.21.0-ha826a6f_1103.tar.bz2”h0Œ@f1eaeb0c4bd062de1db22ec773f31b68948e16f8a1a95f509ae6ce5c8c24b7a9”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ/Ú­ÂhEJÚ* hFˆubh)”}”(hŒr-fit.models”h#Œ0.64”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-fit.models-0.64-r40hc72bb7e_0.tar.bz2”h+Œ e7731da8d51eec4f4098e6e893e00bd6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fit.models-0.64-r40hc72bb7e_0.tar.bz2”h0Œ@c6a144fd2e602d25e9f65a9c1ea140e2f308ae26025702b576c68f4fb16776b8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-lattice”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+þ€“uhEJ;C hFˆubh)”}”(hŒcgsn_processing”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒ"cgsn_processing-0.1.0-py_0.tar.bz2”h+Œ 203979fd368f753210f4c671639f72fe”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cgsn_processing-0.1.0-py_0.tar.bz2”h0Œ@ad6eeb96bb381c99300823ed4bb8e212f208b7c27e2b786afe840bb2ddbc9a41”h2NhNh3(Œgsw >=3.0.3”Œjinja2”Œmunch >=2.1.0”Œnetcdf4”Œnumpy >=1.9.2”Œpandas”Œpyaxiom”Œpython”Œpytz”Œrequests”Œscipy >=0.15.1”t”h9h?h@ŒMIT”hBŒMIT”hEMN¯hFˆubh)”}”(hŒr-snpls”h#Œ1.0.27”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-snpls-1.0.27-r41hc72bb7e_1.tar.bz2”h+Œ ad2d62a2fdd02749fef3f7e4b862293b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-snpls-1.0.27-r41hc72bb7e_1.tar.bz2”h0Œ@f2b2656b3ecf8d82d48939169fbac6edc819f3f7bc6f1cd776542e160e3ccd66”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clickr”Œr-future”Œr-future.apply”Œ	r-ggplot2”Œ	r-ggrepel”Œr-ks”Œr-mass”Œr-matrix”Œ	r-pbapply”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓ{aûçhEJÖ­ hFˆubh)”}”(hŒ
r-freqprof”h#Œ0.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-freqprof-0.0.1-r42hc72bb7e_1.tar.bz2”h+Œ b4806b873cb8086d15a9289967494570”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-freqprof-0.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@9b5f9a2540f9f1b0c7a37cbb0680ebf0cbc56af866b2841d8c59da95412d126d”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ
r-reshape2”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ~k,Ý/hEJP- hFˆubh)”}”(hŒconda-build-all”h#Œ1.1.3”h%Œpy_1”h'Khhh(h)hŒ"conda-build-all-1.1.3-py_1.tar.bz2”h+Œ a09aca601cb556bbff34d41e7f68a162”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/conda-build-all-1.1.3-py_1.tar.bz2”h0Œ@71e7e7d802cdc942078e1f2ac07b630b500687446d106a6820a87c8c001ca85b”h2NhNh3(Œanaconda-client”Œconda >=4.2”Œconda-build >=1.21.7,<3”Œ	gitpython”Œmock”Œpython”t”h9h?h@ŒBSD 3-clause”hEM‹ghFˆubh)”}”(hŒ	r-ggparty”h#Œ1.0.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-ggparty-1.0.0-r41hc72bb7e_2.tar.bz2”h+Œ c4915d7698e240aef150f7ba979f014b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggparty-1.0.0-r41hc72bb7e_2.tar.bz2”h0Œ@2fa248730478a58b309e8613795da0881fc908b72d03216ce609a22b0587db21”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-gtable”Œ
r-partykit”Œr-rlang”Œ
r-survival”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ+»w ƒhEJõS	 hFˆubh)”}”(hŒr-ggparallel”h#Œ0.2.0”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ+r-ggparallel-0.2.0-r36h6115d3f_1003.tar.bz2”h+Œ eeacebdd71e32316cabb114cd57d7995”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ggparallel-0.2.0-r36h6115d3f_1003.tar.bz2”h0Œ@f57f0e9f9fce53c79013cd9efa811d2a23eb4ebf346400eed98c9516a333447d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=2.2.0”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬Æ?!‡hEJ,G- hFˆubh)”}”(hŒmmtf-python”h#Œ1.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&mmtf-python-1.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2e68d973b43ff50b76ffe35f227bdc73”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/mmtf-python-1.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@be4a689665c1639eec71637dc4053d4c5d64a831de3120b4c77bf7f92ae05962”h2NhNh3Œmsgpack-python”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ±Q1[çmhEM¸ehFˆubh)”}”(hŒ
mpl_qt_viz”h#Œ1.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&mpl_qt_viz-1.0.10-pyhd8ed1ab_0.tar.bz2”h+Œ a6f5dd610663dbbdc1960108bf5b05c2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/mpl_qt_viz-1.0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@a49eaf376fd07f7864fe778ead68f9d355d014cf5c8a16bd319456ddef0a375d”h2NhNh3(Œcycler”Œmatplotlib-base”Œnumpy”Œopencv”Œpyqt”Œpython >=3.7”Œscikit-image”Œscipy”Œshapely”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØZŠô#¥ãhEM_âhFˆubh)”}”(hŒlibxcomposite-devel-cos6-x86_64”h#Œ0.4.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ;libxcomposite-devel-cos6-x86_64-0.4.3-h9d98e8f_1104.tar.bz2”h+Œ 9621be0e33dfb78d68dbbea8ac47baad”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos6-x86_64-0.4.3-h9d98e8f_1104.tar.bz2”h0Œ@d88e729d1a0305cd84c3ea565c65d1cacee419299ab41901c2ad1bdb3f7cfe72”h2NhNh3Œ(libxcomposite-cos6-x86_64 ==0.4.3 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É}?;¥ãhEMO,hFˆubh)”}”(hŒ	bareditor”h#Œ0.17”h%Œpy_0”h'K hhh(h)hŒbareditor-0.17-py_0.tar.bz2”h+Œ 760e60029ebf3bba206ec6e449f33c4c”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/bareditor-0.17-py_0.tar.bz2”h0Œ@ee89fce294f983b14a24dbe5c91e888badac017c20e241cb03eec9c03822772e”h2NhNh3(Œnumba”Œpillow”Œpython”Œwxpython”t”h9h?h@ŒBSD-3-clause”hBŒBSD”hDGA×j²×&éhEMóQhFˆubh)”}”(hŒlibsepol-cos7-ppc64le”h#Œ2.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libsepol-cos7-ppc64le-2.5-h9b0a68f_105.tar.bz2”h+Œ 75011e68df5e7b03e40006677e00a1fb”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-ppc64le-2.5-h9b0a68f_105.tar.bz2”h0Œ@ac29b20face7a8d447dcf02cf7e6094acfc351b6edfef62774055cf2efd00201”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@†¿²-hEJe› hFˆubh)”}”(hŒr-aws.signature”h#Œ0.6.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-aws.signature-0.6.0-r40hc72bb7e_0.tar.bz2”h+Œ 8942ff07b0b952c0ffab0554e1a46a94”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-aws.signature-0.6.0-r40hc72bb7e_0.tar.bz2”h0Œ@616697f2402a526431579c33217da00321506f1b4c25ddcb921c1ee7e3e320b4”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-digest”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*ú¾‰ë…hEJ d hFˆubh)”}”(hŒr-rmeta”h#Œ3.0”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ$r-rmeta-3.0-r40h6115d3f_1003.tar.bz2”h+Œ 2540a80ef09a19dfc9ee9f9a8519149a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmeta-3.0-r40h6115d3f_1003.tar.bz2”h0Œ@ca362c64b0d30651b7e9cce0c37fd4e29c7578ba46ee620c6a01ec599d27ec2e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬^~XhEJóä hFˆubh)”}”(hŒ	r-pairsd3”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-pairsd3-0.1.3-r41hc72bb7e_0.tar.bz2”h+Œ 5b54a699d961c1b020224b7f46a388a8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pairsd3-0.1.3-r41hc72bb7e_0.tar.bz2”h0Œ@216fdc1b1f4a8b9322707ae496a1d1301f8611a7fc336b40c3988ddc91e0b286”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets >=0.3.2”Œr-shiny”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ§ _ªŸ¾hEJÿž hFˆubh)”}”(hŒ
click-repl”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%click-repl-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ e18a67c7a7808b74df0ded854ffe672b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/click-repl-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e11694b0bcb6d75fc51920d29b9780006a5c1d71f00f6d3c22edaf81e80e3cb5”h2NhNh3(Œclick”Œprompt_toolkit”Œpython >=3.6”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ0”æè1'hEM;"hFˆubh)”}”(hŒr-workflowr”h#Œ1.7.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-workflowr-1.7.0-r41hc72bb7e_0.tar.bz2”h+Œ 30e5b79bde34d58811f561847ed7230e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-workflowr-1.7.0-r41hc72bb7e_0.tar.bz2”h0Œ@9bace596e25bf39aa8b6a0a86263055b4eb967c2d0640f5f789406186a740f05”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr”Œr-fs >=1.2.7”Œ	r-getpass”Œr-git2r >=0.26.0”Œr-glue”Œr-httpuv >=1.2.2”Œr-httr”Œr-knitr >=1.18”Œr-rmarkdown >=1.7”Œr-rprojroot”Œr-rstudioapi >=0.6”Œr-stringr >=1.3.0”Œr-whisker >=0.3_2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØpg¢Ñº^hEJ@	 hFˆubh)”}”(hŒmatminer”h#Œ0.7.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#matminer-0.7.4-pyhd8ed1ab_0.tar.bz2”h+Œ 116c32a1a2224505d241b573ce8afcfb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/matminer-0.7.4-pyhd8ed1ab_0.tar.bz2”h0Œ@8e786b41ff4e817339cb1f151deed00bcb1bbf079f5a0522be225d605de2f9a4”h2NhNh3(Œaflow >=0.0.9”Œase >=3.14.1”Œcitrination-client >=4.0.1”Œdscribe >=0.2.9”Œfuture >=0.16.0”Œhttplib2 >=0.10.3”Œjmespath >=0.9.3”Œmdf_forge >=0.6.1”Œmonty >=3.0.1”Œnumpy >=1.18.3”Œpandas >=0.23.4”Œpint >=0.8.1”Œpip”Œplotly >=3.2.1”Œpymatgen >=2019.10.2”Œpymongo >=3.11.2”Œpython >=3.5”Œrequests >=2.20.0”Œscikit-learn >=0.21.3”Œsix >=1.16.0”Œsympy >=1.6”Œtqdm >=4.23.1”Œujson >=1.35”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØBjäzáhEJâ˜ hFˆubh)”}”(hŒqnm”h#Œ0.4.3”h%Œpy_0”h'K hhh(h)hŒqnm-0.4.3-py_0.tar.bz2”h+Œ 15d7ebb0bb45d854961a01ef805936f9”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/qnm-0.4.3-py_0.tar.bz2”h0Œ@bc2593267ae6317d47cb41c503898a54c8ae5fc973c5d7a3e2bd18775e7716c8”h2NhNh3(Œnumba”Œnumpy”Œpathlib2”Œpython”Œscipy”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGA×€4í)G®hEJ¡p hFˆubh)”}”(hŒ
r-ggmosaic”h#Œ0.3.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-ggmosaic-0.3.3-r40hc72bb7e_0.tar.bz2”h+Œ 6c1d0af3e0fbaedb708640af28f45fa0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggmosaic-0.3.3-r40hc72bb7e_0.tar.bz2”h0Œ@68a8a7c9d7af74470241b37ad26e0feb3e961450f90f7b790748fb6c71fc3b68”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-ggplot2 >=3.3.0”Œ	r-ggrepel”Œr-plotly >=4.5.5”Œr-productplots”Œr-purrr”Œr-rlang”Œr-scales”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØwÍ]²-hEJ‚à hFˆubh)”}”(hŒr-mlapi”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-mlapi-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 45311acd8863012425aff05b69784441”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mlapi-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@730fe79a33642f844c6f39accc2c269b02dd69cc7ef5b73a0d62b5a3cc10b233”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix >=1.1”Œr-r6 >=2.2.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑSÝ&§ðhEJ#— hFˆubh)”}”(hŒr-reffreeewas”h#Œ2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-reffreeewas-2.2-r41hc72bb7e_1.tar.bz2”h+Œ 8f6a5782ac0d4acf55a6c2e1ead8007f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-reffreeewas-2.2-r41hc72bb7e_1.tar.bz2”h0Œ@f137e0ff8de2bf0021922b9ce0ddf7cd0aa42819ab35f7a2940f6dfd6ba0e8bb”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+€+hEJ=L4 hFˆubh)”}”(hŒr-captioner”h#Œ2.2.3”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ*r-captioner-2.2.3-r41hc72bb7e_1004.tar.bz2”h+Œ 94d66998fd758506f27ea18e640f19e3”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-captioner-2.2.3-r41hc72bb7e_1004.tar.bz2”h0Œ@a00ddb02428d0e1a363030dc248e870e213a4e08356a3935cb84b9026972667b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+0~[…hEMùšhFˆubh)”}”(hŒpypdf2”h#Œ1.28.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pypdf2-1.28.4-pyhd8ed1ab_0.tar.bz2”h+Œ b269f79522dca5b99809e2ac32a3bf60”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pypdf2-1.28.4-pyhd8ed1ab_0.tar.bz2”h0Œ@f36b6fcf0cfabe9568c540bfa063814f6fe75594cbb2d757f1674179cdd52b70”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¤òZMÓhEJ› hFˆubh)”}”(hŒr-bigparallelr”h#Œ0.3.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-bigparallelr-0.3.2-r41hc72bb7e_1.tar.bz2”h+Œ 156613f7a0c4f8350667c519bb4472c7”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bigparallelr-0.3.2-r41hc72bb7e_1.tar.bz2”h0Œ@0ec0d0452bc4191802a6600464ef00c0e88a8905f7523e2e4df46f9a70c2acf0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bigassertr >=0.1.1”Œr-doparallel”Œr-flock”Œ	r-foreach”Œr-parallelly”Œr-rhpcblasctl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¾ßÇÎÙhEMìhFˆubh)”}”(hŒr-pairwisecomparisons”h#Œ3.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ1r-pairwisecomparisons-3.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 27e3e225ad6e389173fb41d69978fd59”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-pairwisecomparisons-3.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@813b2f01e44d7847aaa9ee5253cd4615a2b74bb55c64fdcfd217ad969a0cc6a0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-insight >=0.14.5”Œr-parameters >=0.15.0”Œr-pmcmrplus”Œr-purrr”Œr-rlang”Œr-statsexpressions >=1.2.0”Œr-wrs2 >=1.1_3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ”ŠfvÉhEJ!¬ hFˆubh)”}”(hŒnapari-mat-images”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,napari-mat-images-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ dfd0a5a10d5e545fb8d1d6db3ffc8e37”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/napari-mat-images-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@cc944782707a78151c6ff178454ba7feb563fbdf05b3d2374c9a74ba547564ab”h2NhNh3(Œ	dask-core”Œh5py”Œnumpy”Œpluggy”Œpython >=3.6”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØM™¹xÕhEM],hFˆubh)”}”(hŒlibsm-devel-cos7-aarch64”h#Œ1.2.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libsm-devel-cos7-aarch64-1.2.2-h9d98e8f_1104.tar.bz2”h+Œ ce1900658e51a03f771f2a6ec26d604d”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-aarch64-1.2.2-h9d98e8f_1104.tar.bz2”h0Œ@e1b483f3802d647e2afa8665551ea9ae0e78388abb2491eee87d99a878de8b4e”h2NhNh3Œ!libsm-cos7-aarch64 ==1.2.2 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É{ô¹7LhEMt"hFˆubh)”}”(hŒr-assertive.numbers”h#Œ0.0_2”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ2r-assertive.numbers-0.0_2-r42hc72bb7e_1004.tar.bz2”h+Œ fd76450161218f3db052aae3b9ac58f3”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.numbers-0.0_2-r42hc72bb7e_1004.tar.bz2”h0Œ@04c647dc171c0bba9fc6b2ec10455dfe6f7bf70cba7b7895b443082d072644a3”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐÔÙ·
=hEJ	µ hFˆubh)”}”(hŒr-maldirppa”h#Œ1.1.0_1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-maldirppa-1.1.0_1-r40hc72bb7e_0.tar.bz2”h+Œ a65831aea8f6bc39636f0293e1bfc32f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-maldirppa-1.1.0_1-r40hc72bb7e_0.tar.bz2”h0Œ@b3988961ff33ff66e5229bdd7dd6c7e361234cd1496e8bffe13de7b30aa14eb1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-lattice”Œr-maldiquant”Œr-robustbase”Œr-signal”Œ
r-waveslim”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ‘QÆ9‰7hEJÃë hFˆubh)”}”(hŒchevron”h#Œ0.14.0”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ#chevron-0.14.0-pyhd3deb0d_1.tar.bz2”h+Œ f602b526f6010261bfc111aa876cab48”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/chevron-0.14.0-pyhd3deb0d_1.tar.bz2”h0Œ@4b0f90d84846584938ba45ee3736250dc746e6f18a21e0bebb904190e4f04de9”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ#’D9XhEMà5hFˆubh)”}”(hŒ	r-pvclust”h#Œ2.2_0”h%Œr35_0”h'K hhh(h)hŒr-pvclust-2.2_0-r35_0.tar.bz2”h+Œ 5693fae21aec912f05f22c41f6dabfea”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-pvclust-2.2_0-r35_0.tar.bz2”h0Œ@97d17a61ba37c37a10c7861b989de1b404fe79579dd9b9e63e41bb4cd0775c8d”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL”hDGA×tùT¨bhEJ2 hFˆubh)”}”(hŒr-rvest”h#Œ1.0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-rvest-1.0.3-r40hc72bb7e_0.tar.bz2”h+Œ 303cad0046772eea0a25d462104ac03c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rvest-1.0.3-r40hc72bb7e_0.tar.bz2”h0Œ@c58923155fa99c989b246f700ac5c87cf7f37c629e604eab5f5cb53ca4bda2bf”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cli”Œr-glue”Œr-httr >=0.5”Œr-lifecycle >=1.0.0”Œ
r-magrittr”Œr-rlang >=1.0.0”Œ	r-selectr”Œr-tibble”Œr-withr”Œr-xml2 >=1.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÀ>L‰G®hEJ_ hFˆubh)”}”(hŒlibbonobo-cos7-aarch64”h#Œ2.32.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libbonobo-cos7-aarch64-2.32.1-h9b0a68f_105.tar.bz2”h+Œ 96e2f3f0b790a4c47827977ed942f6b8”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-aarch64-2.32.1-h9b0a68f_105.tar.bz2”h0Œ@9a4fb59f0df41ac23b4a0ae8675ee7f97e58da685feab15f201803342e7a1cd0”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGAØ@W˜LIºhEJ»H hFˆubh)”}”(hŒr-teachingdemos”h#Œ2.12”h%Œr36h6115d3f_1”h'Khhh(h)hŒ*r-teachingdemos-2.12-r36h6115d3f_1.tar.bz2”h+Œ fee835b795245400f41ea3fde087296d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-teachingdemos-2.12-r36h6115d3f_1.tar.bz2”h0Œ@e2215527cac1c405fa0140c26661832739554661e6f935088c68bbdf500dfc9b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA×«åÆ,záhEJn7 hFˆubh)”}”(hŒlibxcursor-cos6-x86_64”h#Œ1.1.14”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libxcursor-cos6-x86_64-1.1.14-hdf0574f_1102.tar.bz2”h+Œ 434653ad3144a2cf5bbd29de8f54767f”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos6-x86_64-1.1.14-hdf0574f_1102.tar.bz2”h0Œ@3d3032a68f123637cd0a821700b3a19af4465af0d28ee96eba0723c387808ffa”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´½ÞE¢hEMO`hFˆubh)”}”(hŒ
r-xlsxjars”h#Œ0.6.1”h%Œr40hc72bb7e_3”h'Khhh(h)hŒ&r-xlsxjars-0.6.1-r40hc72bb7e_3.tar.bz2”h+Œ 208691231b0df9c851859a6683c4e789”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xlsxjars-0.6.1-r40hc72bb7e_3.tar.bz2”h0Œ@517228fa0320b54b794f65ab4706f07dd7e2934b462ad777795195df177f41cd”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjava”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*ìÙà ÅhEJQ¿ hFˆubh)”}”(hŒ xorg-x11-util-macros-cos7-x86_64”h#Œ1.19.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ=xorg-x11-util-macros-cos7-x86_64-1.19.0-h9d98e8f_1104.tar.bz2”h+Œ 976f1b9c32936ede1dfd115b2a3b7d9f”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-x86_64-1.19.0-h9d98e8f_1104.tar.bz2”h0Œ@7dd55caaf6bf5399b26782365cfebc4bc1fc3ee572d2b9654e9d9230627599cd”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{¦ffhEM¹ªhFˆubh)”}”(hŒ!xorg-x11-server-xvfb-cos7-ppc64le”h#Œ1.20.4”h%Œha826a6f_103”h'Kghhh(h)hŒ=xorg-x11-server-xvfb-cos7-ppc64le-1.20.4-ha826a6f_103.tar.bz2”h+Œ c726da023eef2bdd01f5d713a51acfbc”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-xvfb-cos7-ppc64le-1.20.4-ha826a6f_103.tar.bz2”h0Œ@a10e0f2b781aeba52c1d4718de6fd2e6d16bbd759ce30406fd83b3e99c2d0107”h2NhNh3Œ2xorg-x11-server-common-cos7-ppc64le >=1.20.4 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT and GPLv2”hBŒGPL2”hDGA×Æ1LÙÛ#hEJrœ hFˆubh)”}”(hŒr-clusterses”h#Œ2.6.5”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ(r-clusterses-2.6.5-r36hc72bb7e_0.tar.bz2”h+Œ f98835ffb8fab5f791112c386dc51ac2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-clusterses-2.6.5-r36hc72bb7e_0.tar.bz2”h0Œ@ddca2a2cb5f47570063c7040cbd0e86642112b50ae6ad2e54decd33c628338d1”h2NhNh3(Œr-aer”Œr-base >=3.6,<3.7.0a0”Œr-dfidx”Œ	r-formula”Œr-lmtest”Œr-mlogit”Œr-plm”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØç:nE¢hEJL‘ hFˆubh)”}”(hŒr-tmaptools”h#Œ3.1_1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ'r-tmaptools-3.1_1-r36hc72bb7e_0.tar.bz2”h+Œ 8316498ffd12daf33ce07d49f35749fe”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tmaptools-3.1_1-r36hc72bb7e_0.tar.bz2”h0Œ@42d38c8f6976050d44f3379d1a08a42ba513b7c582e37b02cee9bcc9e2f9ccef”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-classint”Œr-dichromat”Œr-kernsmooth”Œr-lwgeom >=0.1_4”Œ
r-magrittr”Œr-raster >=2.7_15”Œr-rcolorbrewer”Œ
r-sf >=0.9”Œr-stars >=0.4_0”Œr-units >=0.6_1”Œr-viridislite”Œr-xml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ	˜ÑCC–hEJóë hFˆubh)”}”(hŒregion”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒregion-0.2.1-py_0.tar.bz2”h+Œ 7eab3f0622515803253a8d33cd4712ab”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/region-0.2.1-py_0.tar.bz2”h0Œ@fdc7e5e7c261b38357bce92b23d102c154d5f79e5d1dd9a82fccac0437afc7f0”h2NhNh3(Œ	geopandas”Œlibpysal”Œnetworkx >=2.0.0”Œnumpy >=1.10.4”Œpulp”Œ
python >=3”Œscikit-learn”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‹ˆ?”1hEM^˜hFˆubh)”}”(hŒ	r-rafalib”h#Œ1.0.0”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ(r-rafalib-1.0.0-r41hc72bb7e_1002.tar.bz2”h+Œ a7a7bcf647863867cb728ba53c4ed101”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rafalib-1.0.0-r41hc72bb7e_1002.tar.bz2”h0Œ@90d00f417cd3f3d205a19f198f60d83cbba696c0f9aa01e98cb070ea1887a64c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rcolorbrewer”†”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ+%ªƒ¥ãhEJ  hFˆubh)”}”(hŒsekve”h#Œ1.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ sekve-1.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ b482f56d015acc48ef76d15a86c7896a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sekve-1.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9317c5c25211b54f12735daa1a9bf7a935cbc57f5d0c25700193eed8fa23190f”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.7”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÓ ¦bNhEMŒRhFˆubh)”}”(hŒr-plsgenomics”h#Œ1.5_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-plsgenomics-1.5_2-r41hc72bb7e_1.tar.bz2”h+Œ 2b09166a543b0ca30c13e073acd5952d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plsgenomics-1.5_2-r41hc72bb7e_1.tar.bz2”h0Œ@f816b137bddb25f1e8fc9a859b1978504fdc4c4a75cda34e1a3c0820b21d5830”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-fields”Œr-mass”Œr-plyr”Œ
r-reshape2”Œr-rhpcblasctl”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ÀeÀÄœhEJäÉ hFˆubh)”}”(hŒpystore”h#Œ0.1.23”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pystore-0.1.23-pyhd8ed1ab_0.tar.bz2”h+Œ 7977fafdd92ca7ccdc2cb8c77173093f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pystore-0.1.23-pyhd8ed1ab_0.tar.bz2”h0Œ@1c2dba00c043c180fc330894ce64e68ecb9f4d5bfff29be2b0e750e26f6077d4”h2NhNh3(Œcloudpickle”Œ	dask-core”Œdistributed”Œfastparquet”Œmultitasking”Œnumpy”Œpandas”Œpartd”Œpython >=3.6”Œpython-snappy”Œtoolz”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ·ýÁ¸bhEMyJhFˆubh)”}”(hŒr-shinycssloaders”h#Œ1.0.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ-r-shinycssloaders-1.0.0-r36h6115d3f_0.tar.bz2”h+Œ 6c83dbff751a135cb848c07cf83ec4ae”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-shinycssloaders-1.0.0-r36h6115d3f_0.tar.bz2”h0Œ@1c00b2120347f711d7f955794b359da7d626d1a066a82805aa63e73bd68c086b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-digest”Œr-glue”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGA×È"”‹"ÑhEJd8 hFˆubh)”}”(hŒebcdic”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!ebcdic-1.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ eadbfda4975d3d782e3085633fd88ff8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ebcdic-1.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2032b926916075a0e34d6c7fae5ad20aa144d32439434772b5857943a52f83d7”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ(>£ÑûçhEM28hFˆubh)”}”(hŒsbtab”h#Œ1.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ sbtab-1.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 376be207a3522957cde90e12c2b00642”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sbtab-1.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@594424636a1b180a1338ac4f3d0d35722365b432d89f68abf332491deb4dfe91”h2NhNh3(Œnumpy >=1.16.2”Œopenpyxl <=2.6.4”Œpandas >=0.2”Œpython >=3.0”Œpython-libsbml >=5.17.0”Œscipy >=1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ(¦-(A‰hEJ-} hFˆubh)”}”(hŒgeoviews”h#Œ1.9.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#geoviews-1.9.3-pyhd8ed1ab_0.tar.bz2”h+Œ c8a6a006829f9ec22c8b504a5cc07a47”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geoviews-1.9.3-pyhd8ed1ab_0.tar.bz2”h0Œ@08a6ff1ab8510e56c216eb1bfc0e8ca82bbecf58ab7ef364488b2f7217f3e35a”h2NhNh3(Œbokeh >=2.4.0,<2.5.0”Œcartopy >=0.18.0”Œ
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feedparser”h#Œ6.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&feedparser-6.0.10-pyhd8ed1ab_0.tar.bz2”h+Œ f6f906ad0b6102059c4c112cb50fed2a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/feedparser-6.0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@f9ee3db8cec4618a4edd9b56d8186da43e24bcdf8f549b0008e714fe3ba6763d”h2NhNh3Œpython >=3.6”Œ	sgmllib3k”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¢G£¦éyhEM3ÄhFˆubh)”}”(hŒ	r-zeallot”h#Œ0.1.0”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ(r-zeallot-0.1.0-r42hc72bb7e_1004.tar.bz2”h+Œ ad3937f1cfe30af0c9aa802d8609092f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-zeallot-0.1.0-r42hc72bb7e_1004.tar.bz2”h0Œ@135c1d8cd2499b39aa5794edc193a5253200c7a95abe561346b1f0d1f92f3574”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐwá!ë…hEM6þhFˆubh)”}”(hŒmesa-libegl-devel-cos6-x86_64”h#Œ11.0.7”h%Œha826a6f_103”h'Kghhh(h)hŒ9mesa-libegl-devel-cos6-x86_64-11.0.7-ha826a6f_103.tar.bz2”h+Œ c59f1a5939cae05ece1ac6a7e368562b”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos6-x86_64-11.0.7-ha826a6f_103.tar.bz2”h0Œ@3cb09c724a79e79b5aad8c6d5584d18af6194f1124bdfa6cab811b283bdeee88”h2NhNh3Œ&mesa-libegl-cos6-x86_64 ==11.0.7 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0_À£×hEMGhFˆubh)”}”(hŒglib2-cos6-x86_64”h#Œ2.28.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.glib2-cos6-x86_64-2.28.8-h9d98e8f_1104.tar.bz2”h+Œ e12f1aea5e37e45cda98ae37c204d91e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/glib2-cos6-x86_64-2.28.8-h9d98e8f_1104.tar.bz2”h0Œ@0241be4a4e66d8b4c5e07b8b792feaa1b646a76a669247471352165be27a5e0f”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éym¶FhEJ > hFˆubh)”}”(hŒr-profilemodel”h#Œ0.6.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-profilemodel-0.6.1-r40hc72bb7e_0.tar.bz2”h+Œ 1cfcd869631ca9d6cc45b8df542bcddd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-profilemodel-0.6.1-r40hc72bb7e_0.tar.bz2”h0Œ@5c1548b7392f382089a4accb4354e85636a0c8130cf979fd4d24dd183066203b”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ*ñ¨‡+hEJ~Ï hFˆubh)”}”(hŒlibbonobo-devel-cos6-x86_64”h#Œ2.24.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7libbonobo-devel-cos6-x86_64-2.24.2-h9d98e8f_104.tar.bz2”h+Œ 9d54321b7ad59e3aab0138ed3c842751”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos6-x86_64-2.24.2-h9d98e8f_104.tar.bz2”h0Œ@324f10d716e437fc9ff6179e81a82f8435a452dea83eece4e47cb6c2ebac0e07”h2NhNh3Œ$libbonobo-cos6-x86_64 ==2.24.2 *_104”Œ(libxml2-devel-cos6-x86_64 >=2.4.21 *_104”Œ&orbit2-devel-cos6-x86_64 >=2.7.5 *_104”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×É}|ÐA‰hEJ%³ hFˆubh)”}”(hŒr-rebus.numbers”h#Œ0.0_1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ.r-rebus.numbers-0.0_1-r35h6115d3f_1001.tar.bz2”h+Œ 3b83c2c24580ade610539b576c29e56d”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rebus.numbers-0.0_1-r35h6115d3f_1001.tar.bz2”h0Œ@07956adb4f3202b07bcc372abff2f5ac174e2ac32c93ec035232bd12bc15a305”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rebus.base”†”h9hºh@Œ	Unlimited”hBŒMIT”hDGA×L`|îhEM-^hFˆubh)”}”(hŒr-wdi”h#Œ2.7.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-wdi-2.7.8-r42hc72bb7e_1.tar.bz2”h+Œ fe70385e1a7ab065517c343c2912d313”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-wdi-2.7.8-r42hc72bb7e_1.tar.bz2”h0Œ@d14d772fba8d0e682393484409e983c116319f2a20e9307ed6a0661f9be52b84”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ?¨ÌÍhEJ­”
 hFˆubh)”}”(hŒ	r-pmdplyr”h#Œ0.3.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-pmdplyr-0.3.3-r40hc72bb7e_0.tar.bz2”h+Œ 9854ec2000112a960e9974cf4e1855d2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pmdplyr-0.3.3-r40hc72bb7e_0.tar.bz2”h0Œ@6093337c2c50e935a1d7997cb5e56fb909157d13b04af4d52ab9d155789c2bbb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.7.0”Œr-lubridate”Œ
r-magrittr”Œr-pillar”Œr-rlang >=0.4.0”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ I\“hEJãÎ hFˆubh)”}”(hŒpymedphys_mudensity”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒ'pymedphys_mudensity-0.11.0-py_0.tar.bz2”h+Œ 52649a16d230f939da834cbaacb6b761”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pymedphys_mudensity-0.11.0-py_0.tar.bz2”h0Œ@af09ed8fe04045b43ab9de45ad65f6b91f96d9a654f1b3a4ae4a9f3ff5d5c370”h2NhNh3(Œ
matplotlib”Œnumpy >=1.12”Œpymedphys_base 0.11.0 py_0”Œpymedphys_utilities 0.11.0 py_0”Œpython >=3.7”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×]è¦s×
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astropy >3”Œmatplotlib-base >=3”Œnumpy >=1.13”Œpython >=3.6”Œscikit-learn >=0.18”Œscipy >=0.18”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ‡»ºC33hEJyo hFˆubh)”}”(hŒr-treatmentselection”h#Œ2.1.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ3r-treatmentselection-2.1.1-r36h6115d3f_1002.tar.bz2”h+Œ 141cbd97e8a0931d620a48616e34bc7b”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-treatmentselection-2.1.1-r36h6115d3f_1002.tar.bz2”h0Œ@664c7e6dcf1e6c283be474c5bdd8d8889837bf814c27cc67496fc15b1a675eb0”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-binom”Œ	r-ggplot2”Œ
r-survival”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬‘ Š¬hEJé¶' hFˆubh)”}”(hŒr-shades”h#Œ1.4.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-shades-1.4.0-r41hc72bb7e_1.tar.bz2”h+Œ 1797bbb6f88b0583cb56ec07861e0856”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-shades-1.4.0-r41hc72bb7e_1.tar.bz2”h0Œ@b71b5253f89080a66b568ecfab75e3265b88eb84bb43441aed78592f7d5c6577”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAØ*ÞÆ¨hEJu hFˆubh)”}”(hŒopenpathsampling”h#Œ1.5.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ+openpathsampling-1.5.2-pyhd8ed1ab_1.tar.bz2”h+Œ 658b01e79a5be08824091c93464b38cd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/openpathsampling-1.5.2-pyhd8ed1ab_1.tar.bz2”h0Œ@02270b38bb306f785099eb55cda9d9dca45f2e3f6e89d2f05c34471e2c5ea4b8”h2NhNh3(Œ__unix”Œfuture”Œmatplotlib-base”Œmdtraj”Œnetcdf4”Œnetworkx”Œnumpy”Œpandas”Œpsutil”Œpython >=3.6”Œscipy”Œsvgwrite”Œ!ujson !=2.*,!=3.*,!=4.0.0,!=4.0.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ×´¾Øå`hEJ²+ hFˆubh)”}”(hŒcentos-release-cos7-ppc64le”h#jÎS h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3centos-release-cos7-ppc64le-7-h9b0a68f_1105.tar.bz2”h+Œ 573200129bf0e6ed8f60ebb56bea8b16”h.Œahttps://conda.anaconda.org/conda-forge/noarch/centos-release-cos7-ppc64le-7-h9b0a68f_1105.tar.bz2”h0Œ@28ded7b9f0c555059038bf73951f877895099d814d4b3a82803d5b91cb442c55”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@‡J’=qhEMâdhFˆubh)”}”(hŒr-teachingdemos”h#Œ2.12”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-teachingdemos-2.12-r42hc72bb7e_2.tar.bz2”h+Œ 1ae26508d903ee0806002b1937ddc4c6”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-teachingdemos-2.12-r42hc72bb7e_2.tar.bz2”h0Œ@4e4a902ee00e686b93b7aa973c79cc6b76d56dbc065823390b5d7b754083701c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÐ±ØyhshEJ+= hFˆubh)”}”(hŒr-bridgesampling”h#Œ1.1_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-bridgesampling-1.1_2-r42hc72bb7e_1.tar.bz2”h+Œ 58dd6e5cdbbab4d47c24239cacb849e0”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-bridgesampling-1.1_2-r42hc72bb7e_1.tar.bz2”h0Œ@1533a5b5b9c924eb3649c765c453e5d6c7af00d5be305dda686f81c0dcb3df87”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-brobdingnag”Œr-coda”Œr-matrix”Œ	r-mvtnorm”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑSpS×
hEJP2 hFˆubh)”}”(hŒexpat-devel-cos7-aarch64”h#Œ2.1.0”h%Œ
h1341992_0”h'K hhh(h)hŒ1expat-devel-cos7-aarch64-2.1.0-h1341992_0.tar.bz2”h+Œ 3a07ae18da8359103b4a3133b897dfec”h.Œ_https://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-aarch64-2.1.0-h1341992_0.tar.bz2”h0Œ@8407727bdd0b1995612d6e25258cb35b0eb0cd81112a8cc073b91ca3d932b3bc”h2NhNh3Œ#expat-cos7-aarch64 2.1.0 h1341992_0”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ZFšÂ^5hEM¾¾hFˆubh)”}”(hŒ
r-powerlaw”h#Œ0.70.6”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ'r-powerlaw-0.70.6-r41hc72bb7e_2.tar.bz2”h+Œ 374e69f94f534000fde85d561eeb4f56”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-powerlaw-0.70.6-r41hc72bb7e_2.tar.bz2”h0Œ@1d8d0609dbd4d653082b98ca77f191ac0050cf085dc5dba9e93e336ec0eec0d9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-pracma”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÒ65?hEJs¬2 hFˆubh)”}”(hŒr-factominer”h#Œ2.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-factominer-2.4-r36hc72bb7e_0.tar.bz2”h+Œ 13e2574f425ed5f72ec9bc1837491b06”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-factominer-2.4-r36hc72bb7e_0.tar.bz2”h0Œ@d32017021cb6502fe9b08f642ce335dd942d9e1c9b725c4d9fa2a91d4cc28402”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-car”Œ	r-cluster”Œr-dt”Œ	r-ellipse”Œr-flashclust”Œ	r-ggplot2”Œ	r-ggrepel”Œ	r-lattice”Œr-leaps”Œr-mass”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×ôä’°!hEJH : hFˆubh)”}”(hŒgconf2-cos7-aarch64”h#Œ3.2.6”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/gconf2-cos7-aarch64-3.2.6-h9d98e8f_1104.tar.bz2”h+Œ 0474ac8897760597ee856891fbe55879”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gconf2-cos7-aarch64-3.2.6-h9d98e8f_1104.tar.bz2”h0Œ@9809cabccea09ecbd70fdcd20b58031b870052719aa08ca6d1455f034c83219c”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Éz…j\hEJX hFˆubh)”}”(hŒpyaes”h#Œ1.6.1”h%Œpy_0”h'K hhh(h)hŒpyaes-1.6.1-py_0.tar.bz2”h+Œ 3c66fdad95d8e021023216d7b4dd60d0”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pyaes-1.6.1-py_0.tar.bz2”h0Œ@79b13a111dab0390dc46dd86b0288df0e8e98dd06d3abdfed060a1b892a8aadb”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×]ëæÃÆ¨hEMJ`hFˆubh)”}”(hŒthredds_crawler”h#Œ1.5.4”h%Œpy_1”h'Khhh(h)hŒ"thredds_crawler-1.5.4-py_1.tar.bz2”h+Œ 3c9dc1d03f73e8703f47807f60df6493”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/thredds_crawler-1.5.4-py_1.tar.bz2”h0Œ@3b4aaa55d0e5162a661c03310c855c77e35227d2bdd3181a873322f092cb278d”h2NhNh3(Œlxml”Œnetcdf4”Œpython”Œpytz”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hEM}6hFˆubh)”}”(hŒr-complexupset”h#Œ1.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-complexupset-1.3.3-r41hc72bb7e_0.tar.bz2”h+Œ 5c58321b8beb33318a9d29b8934c0864”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-complexupset-1.3.3-r41hc72bb7e_0.tar.bz2”h0Œ@d84bc9a534041836571f02f6785f7761e9ce41d8da0cc99372f0e0a4b5862e7e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colorspace”Œ	r-ggplot2”Œr-patchwork”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØm7ýG®hEJ§"* hFˆubh)”}”(hŒjavapackages-tools-cos7-aarch64”h#Œ3.4.1”h%Œ
h1341992_2”h'Khhh(h)hŒ8javapackages-tools-cos7-aarch64-3.4.1-h1341992_2.tar.bz2”h+Œ c0ddf5631789229088289909bbd642f5”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-aarch64-3.4.1-h1341992_2.tar.bz2”h0Œ@60e849e797d0ec416af7e7652b9f101cee6b903c6448629cc1ad31320543decc”h2NhNh3Œ&python-javapackages-cos7-aarch64 3.4.1”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×Ÿ³#R=qhEM•ÚhFˆubh)”}”(hŒr-nardl”h#Œ0.1.6”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ#r-nardl-0.1.6-r36hc72bb7e_0.tar.bz2”h+Œ 1c5f34c5009b2e05ca81c1fd03991425”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-nardl-0.1.6-r36hc72bb7e_0.tar.bz2”h0Œ@5a14e21aa4d2e0509d03564995b139110008ff6ac2bf619c14e5e78607540a9a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-car”Œ	r-formula”Œr-gtools”Œr-mass”Œr-strucchange”Œ	r-tseries”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ
žNy7LhEJ`¢ hFˆubh)”}”(hŒdask-gateway”h#Œ2022.4.0”h%Œpyh8af1aa0_0”h'K hhh(h)hŒ*dask-gateway-2022.4.0-pyh8af1aa0_0.tar.bz2”h+Œ 70020fe17d66ebd19c15662ad191bb66”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/dask-gateway-2022.4.0-pyh8af1aa0_0.tar.bz2”h0Œ@6872d517a41375001fab3203ff546f92be414c0e8ca8aaff134752a6c4739f04”h2NhNh3(Œaiohttp”Œclick”Œdask >=2.2.0”Œdistributed >=2021.01.1”Œpython >=3.8”Œpyyaml”Œtornado”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœû`ÔþhEMŒchFˆubh)”}”(hŒr-uptasticsearch”h#Œ0.4.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ,r-uptasticsearch-0.4.0-r40hc72bb7e_2.tar.bz2”h+Œ 08eee075dcba845978778248f4b6c441”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-uptasticsearch-0.4.0-r40hc72bb7e_2.tar.bz2”h0Œ@873160a99cf3cd9d38fb58c2d28a885ad7e8deeecc966066b0dd9dba2748c7cc”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œr-futile.logger”Œr-httr”Œ
r-jsonlite”Œr-purrr”Œ	r-stringr”Œr-uuid”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ+œJ^5hEJí² hFˆubh)”}”(hŒlibpng-cos7-aarch64”h#Œ1.5.13”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libpng-cos7-aarch64-1.5.13-ha826a6f_1103.tar.bz2”h+Œ 3c86aa55f1f033e6c72ea1d2ce93c5d4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libpng-cos7-aarch64-1.5.13-ha826a6f_1103.tar.bz2”h0Œ@e04e72f4481714d05d4eec9cf138aaa6527365b97aad29b6ade797f7e15713d4”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@Œzlib”hBŒOther”hDGA×Æ{^‘%hEJ. hFˆubh)”}”(hŒlibxcomposite-cos7-x86_64”h#Œ0.4.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libxcomposite-cos7-x86_64-0.4.4-h9d98e8f_1104.tar.bz2”h+Œ ef49ee1f82a577d0bc9bc56801b0fd9f”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-cos7-x86_64-0.4.4-h9d98e8f_1104.tar.bz2”h0Œ@5203b289bf6fd0beb4b229dc8f1fab08a40264a0acf4e2a9aefe2e5d7985905b”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyUÀÔþhEMaIhFˆubh)”}”(hŒ
r-alluvial”h#Œ0.1_2”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ)r-alluvial-0.1_2-r42hc72bb7e_1004.tar.bz2”h+Œ 3422a67cb846af1fa23e3a70658e2f2e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r42hc72bb7e_1004.tar.bz2”h0Œ@b44f5971b8e039110bdcb106fafb30a5571be08f5c3604ecf069b428f529fe03”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑÄéº^hEJ1… hFˆubh)”}”(hŒcirclify”h#Œ0.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$circlify-0.15.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6bdbb9cb5c318c9e7f7caa48393db182”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/circlify-0.15.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f1ccfc2338ac532ef54b2ccd9bed684f97093631b738d49476e6f85ff2a4e675”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ²ó8HA‰hEM<hFˆubh)”}”(hŒjsonpath-ng”h#Œ1.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&jsonpath-ng-1.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ 7cf9dafe8d4c2b291ea7743abd834642”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/jsonpath-ng-1.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@2883d52fe0d95a426293c7b6d2b50f7c57779524c2ec49ebef74f14a2bf27de9”h2NhNh3(Œ	decorator”Œply”Œpython >=3.6”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ8Ù†…¡ËhEM<jhFˆubh)”}”(hŒ
r-dygraphs”h#Œ1.1.1.6”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ+r-dygraphs-1.1.1.6-r36h6115d3f_1002.tar.bz2”h+Œ a02180a1cc8625536a45a55e0c1bea80”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-dygraphs-1.1.1.6-r36h6115d3f_1002.tar.bz2”h0Œ@d0b2b41901c73b8e907f15d87abb6dbe1d7c3bbf1840fe392f5cb5fde733e4d2”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools >=0.3.5”Œr-htmlwidgets >=0.6”Œ
r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGA×KÉ¬‹"ÑhEJPB hFˆubh)”}”(hŒr-praise”h#Œ1.0.0”h%Œr40h6115d3f_1004”h'Mìhhh(h)hŒ'r-praise-1.0.0-r40h6115d3f_1004.tar.bz2”h+Œ 8f08b7b5b033506ff8e96433bf7f326c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-praise-1.0.0-r40h6115d3f_1004.tar.bz2”h0Œ@219eb9419490cab4ce42537d66fff1b997115cda613ab4b78b98f1db15168770”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×«9ž#¶FhEMý[hFˆubh)”}”(hŒjupyterhub-idle-culler”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1jupyterhub-idle-culler-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7d6ac644586ef4bf5f0170f72cbe9c47”h.Œ_https://conda.anaconda.org/conda-forge/noarch/jupyterhub-idle-culler-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@51525c9578a69750eb84dba0c1245abebf0759354f77b97b6b9131a2db73fd74”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œtornado”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØªó¶hEM-BhFˆubh)”}”(hŒ
accelerate”h#Œ0.13.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&accelerate-0.13.2-pyhd8ed1ab_0.tar.bz2”h+Œ b1febde7b98b2262ba8c0f1ef8176b2d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/accelerate-0.13.2-pyhd8ed1ab_0.tar.bz2”h0Œ@96b2740a9552ea615bad9fd46c0bd1300740386d0dd58d2137f5ef589f4c9e1c”h2NhNh3(Œnumpy >=1.17”Œpackaging >=20.0”Œpsutil”Œpython >=3.6”Œpytorch >=1.4.0”Œpyyaml”t”h9h?h@Œ
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Apache-2.0”hBŒApache”hDGAØÊŽi3"ÑhEJ³$ hFˆubh)”}”(hŒr-factominer”h#Œ2.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-factominer-2.4-r40hc72bb7e_0.tar.bz2”h+Œ b13d68c1b1c1a225db112feb0d4e36b6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-factominer-2.4-r40hc72bb7e_0.tar.bz2”h0Œ@569a880913c4384110f87c5f47b1459eb294318d5b7c4757e7a39c0934c73157”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-car”Œ	r-cluster”Œr-dt”Œ	r-ellipse”Œr-flashclust”Œ	r-ggplot2”Œ	r-ggrepel”Œ	r-lattice”Œr-leaps”Œr-mass”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×ôä‘ë…hEJÿ9 hFˆubh)”}”(hŒ
r-subspace”h#Œ1.0.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-subspace-1.0.4-r42hc72bb7e_2.tar.bz2”h+Œ 04c3c8bd6cd7785f7bcefc5d0ede3c80”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-subspace-1.0.4-r42hc72bb7e_2.tar.bz2”h0Œ@4bd5a07a00b01c728ea02d962155551f28e003230111ed731604c7e019666d38”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace >=1.0”Œr-ggvis >=0.4.2”Œr-rjava >=0.9”Œr-stringr >=1.0.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑþe¨õÃhEJÝA hFˆubh)”}”(hŒlocustio”h#Œ1.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#locustio-1.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2ac85b1f3558b244a4b36181e95960ce”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/locustio-1.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@251d021feab313a85522227101e8019a525a9e3c88c9edd54e0c2726bffa6dfb”h2NhNh3(Œconfigargparse >=0.15.1”Œflask >=0.10.1”Œflask-basicauth”Œgevent >=1.5”Œgeventhttpclient >=1.3.1”Œmsgpack-python >=0.4.2”Œpsutil”Œpython >=3.6”Œpyzmq >=16.0.2”Œrequests >=2.9.1”Œsix >=1.10.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ(¤ -`BhEJîû
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six >=1.10”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØOèåˆÔþhEMÈ+hFˆubh)”}”(hŒr-rsvd”h#Œ1.0.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-rsvd-1.0.5-r40hc72bb7e_0.tar.bz2”h+Œ 75fb07d4c5d38ab7c1b84845add674ad”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rsvd-1.0.5-r40hc72bb7e_0.tar.bz2”h0Œ@c8aec703d70258fc084a4f833b6e1b48dc496f853ebcda762052649af8878c57”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrix”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØOLót¼hEJãL7 hFˆubh)”}”(hŒrequests-mock”h#Œ1.9.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(requests-mock-1.9.3-pyhd8ed1ab_0.tar.bz2”h+Œ df48c73b5b06219f6b25afe0d2188fc2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/requests-mock-1.9.3-pyhd8ed1ab_0.tar.bz2”h0Œ@f65aeb093c5ea19b6c99b914ae145101e7f87b00dfa7161c2daf3a8d3c5b5202”h2NhNh3Œpython 2.7|>=3.4”Œrequests >=2.3”Œsix”‡”h9h?h@Œ
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r-jsonlite”Œr-knitr”Œr-rex”Œr-rstudioapi >=0.2”Œr-stringdist”Œ
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r-jsonlite”Œ
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r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØƒZuëhEJW'$ hFˆubh)”}”(hŒvalerius”h#Œ0.2”h%Œpy_0”h'K hhh(h)hŒvalerius-0.2-py_0.tar.bz2”h+Œ 0a104f1429b6232c2690b1e86742e560”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/valerius-0.2-py_0.tar.bz2”h0Œ@d1910952aa037b687e164bb90001f08093ab99ed2e24577264bb2f9235bfd116”h2NhNh3Œpython >=3.5”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGA×– mãhEM9hFˆubh)”}”(hŒp11-kit-cos7-aarch64”h#Œ0.23.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0p11-kit-cos7-aarch64-0.23.5-h9d98e8f_104.tar.bz2”h+Œ 90584d3ad192dd98cebf8e5580fb4399”h.Œ^https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-aarch64-0.23.5-h9d98e8f_104.tar.bz2”h0Œ@d9de7b0fb0c64afd0759de7cd18cbd3f95f29d6cafaf8cfe3cd8741f3406dbed”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉyñÂhEJ›Æ hFˆubh)”}”(hŒitmlogic”h#Œ0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!itmlogic-0.1-pyhd8ed1ab_0.tar.bz2”h+Œ e686d9837c5b4a4882aa74468c0e2c73”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/itmlogic-0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f5c0206ab1da162bf0f637064848dd2d50f23f66075a5f4a3368e761d7c61b98”h2NhNh3Œpython >=3.6”Œsetuptools_scm”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ$À*n˜hEM6>hFˆubh)”}”(hŒsphinx-notfound-page”h#Œ0.8.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/sphinx-notfound-page-0.8.3-pyhd8ed1ab_0.tar.bz2”h+Œ 6159b3d4402dc5746022e66c7ccd2b92”h.Œ]https://conda.anaconda.org/conda-forge/noarch/sphinx-notfound-page-0.8.3-pyhd8ed1ab_0.tar.bz2”h0Œ@23aa22fff3b52e6cb4b56d10f2e13196a83eb065ddfb5b6e062be990fdbdbff8”h2NhNh3Œdocutils”Œ
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r-xlsxjars”h#Œ0.6.1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ&r-xlsxjars-0.6.1-r36h6115d3f_2.tar.bz2”h+Œ 19ba4a5b868eff47cdef7abf893e181b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xlsxjars-0.6.1-r36h6115d3f_2.tar.bz2”h0Œ@8592560378014e4138a1b9e54bb29f012902a05bbb251042b0b5f258d513f768”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LW®¬hEJùÏ hFˆubh)”}”(hŒr-tmap”h#Œ3.3_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-tmap-3.3_3-r41hc72bb7e_1.tar.bz2”h+Œ fd180887fe91ab4f98c7e0591884b66d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tmap-3.3_3-r41hc72bb7e_1.tar.bz2”h0Œ@97b55eb04327311096f1c42355cda958c603bd4997af98d20517c65677bd51ec”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-classint >=0.4_3”Œr-htmltools”Œr-htmlwidgets”Œr-leafem >=0.1”Œr-leaflet >=2.0.2”Œ
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Apache-2.0”hBŒAPACHE”hDGAØyÈVŠáHhEMÂ2hFˆubh)”}”(hŒ	r-missmda”h#Œ1.18”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-missmda-1.18-r42hc72bb7e_1.tar.bz2”h+Œ 63e116cbb19cb3e92f3b6cd186611d92”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-missmda-1.18-r42hc72bb7e_1.tar.bz2”h0Œ@99a61f9c510af8dac5a4a419468b66f576c664a0f2971d5f9665d3617ddbaf9a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-doparallel”Œr-factominer”Œ	r-foreach”Œr-mice”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÓiUGïžhEJFû hFˆubh)”}”(hŒlibsm-devel-cos6-x86_64”h#Œ1.2.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libsm-devel-cos6-x86_64-1.2.1-h9d98e8f_104.tar.bz2”h+Œ fc4082b6679f111e56d2431bcdecf7c7”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos6-x86_64-1.2.1-h9d98e8f_104.tar.bz2”h0Œ@b52f57eed01ec6fbdb5b639d793621c12d2d6ddeba41c5a0bf462d499dcff096”h2NhNh3Œlibsm-cos6-x86_64 ==1.2.1 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz"ÀƒhEMR"hFˆubh)”}”(hŒfair-esm”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#fair-esm-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 83a21487031d682e79585f04f51f922e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/fair-esm-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ea91c9a0ce683c48e4ef27ffc9898d99eb78e6cda72e8c1481d7f7ccee96757e”h2NhNh3(Œbiotite”Œnumpy”Œpython >=3.6”Œpytorch >=1.5”Œpytorch_geometric”Œtorch-scatter”t”h9h?h@ŒMIT”hBŒMIT”hDGAØØd0^éyhEJ¹ hFˆubh)”}”(hŒlibxtst-cos6-x86_64”h#Œ1.2.3”h%Œha826a6f_103”h'Kghhh(h)hŒ.libxtst-cos6-x86_64-1.2.3-ha826a6f_103.tar.bz2”h+Œ 470c3e2885edb479d731a17437d2dcde”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxtst-cos6-x86_64-1.2.3-ha826a6f_103.tar.bz2”h0Œ@f7c89f9aaf5dbb2135101f2b517296d495ab47fd07e4b6775214a4c63dd1dcf1”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2ºn˜hEMAhFˆubh)”}”(hŒr-gwidgets2tcltk”h#Œ1.0_8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-gwidgets2tcltk-1.0_8-r40hc72bb7e_0.tar.bz2”h+Œ ffa2c79c3c932da265085e726f76957d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets2tcltk-1.0_8-r40hc72bb7e_0.tar.bz2”h0Œ@107509abe8c3b89a187355c934ed00f3175e02ea6b3a4dbe8dd138f7dd2f1b23”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-gwidgets2 >=1.0.7”Œ	r-memoise”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØƒn¤ýôhEJ«º hFˆubh)”}”(hŒr-sparsebnutils”h#Œ0.0.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-sparsebnutils-0.0.8-r42hc72bb7e_1.tar.bz2”h+Œ eaa7058499d36bc40470947b3869fa56”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-sparsebnutils-0.0.8-r42hc72bb7e_1.tar.bz2”h0Œ@53d340c0768cd5f649e56e2ccd6153769e0b73d5ffe378ce47aa705b2a5610f6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”Œr-nnet”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑSÉ7+hEJÕÖ hFˆubh)”}”(hŒr-tsfeatures”h#Œ1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-tsfeatures-1.1-r42hc72bb7e_1.tar.bz2”h+Œ f9944845de22f81b2d8483ea8d5e3ce4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tsfeatures-1.1-r42hc72bb7e_1.tar.bz2”h0Œ@f536398c7d633402d95563c1d529ed5b1cb6807028701c1863e3ec1274f86b3c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-forecast >=8.3”Œ
r-fracdiff”Œr-furrr”Œr-future”Œr-purrr”Œr-rcpproll >=0.2.2”Œr-tibble”Œ	r-tseries”Œr-urca”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ¦ÈÔþhEJ‚« hFˆubh)”}”(hŒsimdna”h#Œ0.4.3.2”h%Œpy_1”h'Khhh(h)hŒsimdna-0.4.3.2-py_1.tar.bz2”h+Œ 9425dfe23c18aa3a11179bf3902fb62c”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/simdna-0.4.3.2-py_1.tar.bz2”h0Œ@a53eb2cd59b2eedf64f1b92727e817bda5a2e789aaadb425e66b8b688a826d3b”h2NhNh3(Œmatplotlib-base”Œnumpy >=1.9”Œpython”Œscipy”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯û1kohEJÎÏ	 hFˆub•       h)”}”(hŒsysroot-cos6-x86_64”h#Œ2.12”h%Œh071be85_11”h'Khhh(h)hŒ,sysroot-cos6-x86_64-2.12-h071be85_11.tar.bz2”h+Œ 1de46927affec3d72ba64eb262c0ba54”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos6-x86_64-2.12-h071be85_11.tar.bz2”h0Œ@235da346600838915fd9a538a92166f2f739928823187f5998ece8c655a1a772”h2NhNh3Œsysroot_linux-64 2.12”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×Â3Ðè1'hEMRhFˆubh)”}”(hŒr-ebimetagenomics”h#Œ0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-ebimetagenomics-0.6-r41hc72bb7e_1.tar.bz2”h+Œ b13cfabb179c0271cc2ec553498ea615”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ebimetagenomics-0.6-r41hc72bb7e_1.tar.bz2”h0Œ@1fa12674ccb52f81b25aacdd10191dd4e532d933d372f22e5e5411de80d5e691”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-breakaway”Œr-sads”Œr-vegan”t”h9hºh@ŒLGPL-3”hBŒLGPL”hDGAØ+pUct¼hEM*ÙhFˆubh)”}”(hŒlibjpeg-turbo-cos7-ppc64le”h#Œ1.2.90”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libjpeg-turbo-cos7-ppc64le-1.2.90-h9d98e8f_1104.tar.bz2”h+Œ f4289d979bb9fa71828416b199da12e1”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-ppc64le-1.2.90-h9d98e8f_1104.tar.bz2”h0Œ@4aafd8a1e01ae75b8291231e8c28e43b487b75fe4a21a595047875a005b399fc”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒIJG”hBŒOther”hDGA×Éz•§+hEJŸ. hFˆubh)”}”(hŒrb-aws-sigv4”h#Œ1.1.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ%rb-aws-sigv4-1.1.0-hd4c1694_0.tar.bz2”h+Œ 6010c755790966eff6c1dd7a28e05932”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/rb-aws-sigv4-1.1.0-hd4c1694_0.tar.bz2”h0Œ@a1d1246ea9c25038be87bad1feb453494f6fecbdcd1df31b9e4ea3966f1e30c3”h2NhNh3Œrb-aws-eventstream >=1.0.2,<2”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×_ðÐùûçhEM¥ehFˆubh)”}”(hŒreverse_geocoder”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+reverse_geocoder-1.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ c4159140ccbed6266d7cdbd0b4d4db2e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/reverse_geocoder-1.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@06ed396b9b9e0ece8ccf34ebab9d1d850e9d5d18c4e98f5192042235fab13487”h2NhNh3Œnumpy >=1.11.0”Œpython >=3.5”Œscipy >=0.17.1”‡”h9h?h@ŒLGPL-2.1-only”hBŒLGPL”hDGAØåÑùG®hEJ’ hFˆubh)”}”(hŒr-climate4r.indices”h#Œ0.2.0”h%Œr42ha770c72_1”h'Khhh(h)hŒ/r-climate4r.indices-0.2.0-r42ha770c72_1.tar.bz2”h+Œ 7f3ed7860165b65f77df62bee9624b51”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-climate4r.indices-0.2.0-r42ha770c72_1.tar.bz2”h0Œ@d263856180af8df04d7c906759a682cad83e488b9dced2d36514589b8d89578b”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œ
r-convertr”Œ
r-magrittr”Œr-transformer >=1.5.2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯c•OßhEJj“’ hFˆubh)”}”(hŒ	lifetimes”h#Œ0.11.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%lifetimes-0.11.3-pyhd8ed1ab_0.tar.bz2”h+Œ d589791d09daca65c7a280b80d2ea2dc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/lifetimes-0.11.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0b846cdedf649e08c9049925f405393779f3301baff48b426d9704ed362f96a3”h2NhNh3(Œautograd >=1.2.0”Œdill >=0.2.6”Œnumpy >=1.10.0”Œpandas >=0.24.0”Œpython >=3.6”Œscipy >=1.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØb®Š÷
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r-jsonlite”Œ
r-magrittr”Œr-readr”Œr-rlang”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¬ügß;hEJ+> hFˆubh)”}”(hŒctrl-benchmark”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)ctrl-benchmark-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ ed3414d6acacb927c891ac3bd3615a1b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/ctrl-benchmark-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@5e9e87736489c24f55293da2f7aee9b24be95485ee36b41068b717a2b9f743b5”h2NhNh3(Œbs4”Œnetworkx >2,<3”Œplotly”Œpydot”Œpython >=3.6”Œpytorch >=1.3,<2”Œpyyaml”Œscikit-learn”Œtorchvision <1”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¯Ò+…hEM4“hFˆubh)”}”(hŒlibxscrnsaver-devel-cos6-x86_64”h#Œ1.2.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;libxscrnsaver-devel-cos6-x86_64-1.2.2-h9b0a68f_1105.tar.bz2”h+Œ 200b5e20b25400084dd45b8152977743”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos6-x86_64-1.2.2-h9b0a68f_1105.tar.bz2”h0Œ@3d2892d2f0153ca414b72aff44d07c7c2c5694fe87c455f5eae30420b2a097df”h2NhNh3Œ(libxscrnsaver-cos6-x86_64 ==1.2.2 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[lÌÍhEMÃ6hFˆubh)”}”(hŒlegacy-suitcase”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*legacy-suitcase-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ c283065529911d8fbc1aec280f855fd0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/legacy-suitcase-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@39d81839ce00fd9b1b073f3b57bf1dcffea6b6f164473846511f2bad61309689”h2NhNh3(Œ
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cachetools”Œ	cssselect”Œcssutils”Œlxml”Œpython >=3.6”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØXØ=d1hEM-PhFˆubh)”}”(hŒibacm-cos6-x86_64”h#Œ1.0.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ,ibacm-cos6-x86_64-1.0.9-h9b0a68f_105.tar.bz2”h+Œ 89607a560f780d2f216a3f6d18868f7d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos6-x86_64-1.0.9-h9b0a68f_105.tar.bz2”h0Œ@bdb6f9d8aced6290e928c16b078fbd954122f8f5b4b117247dda1e51850048f9”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@VØÿ¾whEJ hFˆubh)”}”(hŒpciutils-libs-cos7-ppc64le”h#Œ3.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6pciutils-libs-cos7-ppc64le-3.5.1-h9d98e8f_1104.tar.bz2”h+Œ d85290c121a3bad19c2dcad68d52d3a9”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-ppc64le-3.5.1-h9d98e8f_1104.tar.bz2”h0Œ@5bc51ee8669c09c5d1a685d45c614f8d234bd245558a3ac58ef98876c40896ce”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×É{XQìhEM5›hFˆubh)”}”(hŒsphinxcontrib-seqdiag”h#Œ3.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0sphinxcontrib-seqdiag-3.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0aa4bb11d338154bd52a0895fdbcb7b1”h.Œ^https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-seqdiag-3.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e377c758bc024cec13609fcc88b89b09b70c3aab8dec7e87544c2ca231957479”h2NhNh3(Œblockdiag >=1.5.0”Œpython >=3.7”Œseqdiag >=0.9.3”Œsphinx >=2.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÕ… ÅhEM*hFˆubh)”}”(hŒr-justifyalpha”h#Œ0.1.1”h%Œr41h785f33e_0”h'K hhh(h)hŒ*r-justifyalpha-0.1.1-r41h785f33e_0.tar.bz2”h+Œ 27feead8cdd78b19ce497bba1b5ffd59”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-justifyalpha-0.1.1-r41h785f33e_0.tar.bz2”h0Œ@b0ca57e3150e7c6aa496d907bdb6bcff7c15764a3bcab56de11f9430c3ef92aa”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayesfactor”Œ	r-ggplot2”Œr-pwr”Œr-qpdf”Œr-shiny”Œr-shinydashboard”Œ	r-stringr”Œr-superpower”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÃ;ÿwß;hEJ•Ù hFˆubh)”}”(hŒcachy”h#Œ0.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ cachy-0.3.0-pyhd8ed1ab_1.tar.bz2”h+Œ 5dfee17f24e2dfd18d7392b48c9351e2”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cachy-0.3.0-pyhd8ed1ab_1.tar.bz2”h0Œ@9b193a4e483c4d0004bc5b88fac7a02516b6311137ab61b8db85aa9741422e35”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÏhRNffhEMRhFˆubh)”}”(hŒr-eikosograms”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-eikosograms-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 34dbce07afe2bee1eb254330eec6e10a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-eikosograms-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@08e02ffbdf96b06f304713d4985f38d54494c8130e2e515070c073f2a105e540”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plyr”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ…C»¶FhEJ,& hFˆubh)”}”(hŒ
castepxbin”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%castepxbin-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ f01a0ffca21abc42f50b6ca247e994cc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/castepxbin-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cfd31cd67ec3ec41898a7e1d8aef313bed53b2fb8bee4cb006350e546965b482”h2NhNh3Œnumpy >=1,<2”Œpython >=3.6”Œscipy >=1,<2”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØaZhnVhEMzPhFˆubh)”}”(hŒr-intrinsicdimension”h#Œ1.2.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ0r-intrinsicdimension-1.2.0-r36hc72bb7e_0.tar.bz2”h+Œ 98e7f7c5ad3b8aba7159787fdac0d373”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-intrinsicdimension-1.2.0-r36hc72bb7e_0.tar.bz2”h0Œ@9731f7d3a52914422051d666aef217068a5bdb7d391066efc26e7fe860ab37b6”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-yaimpute”†”h9hºh@ŒMIT”hBŒMIT”hDGA×êU`'PhEJé’ hFˆubh)”}”(hŒdjango-configurations”h#Œ2.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ.django-configurations-2.2-pyh9f0ad1d_0.tar.bz2”h+Œ 4bb8cedeab9d960754ac4af1666353cd”h.Œ\https://conda.anaconda.org/conda-forge/noarch/django-configurations-2.2-pyh9f0ad1d_0.tar.bz2”h0Œ@b2aaf0f6a037856cedab5defae1e710b23fe045dab2e111b4db41262893d3138”h2NhNh3(Œdjango >=1.8”Œpython”Œ
setuptools”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ánøå`hEMChFˆubh)”}”(hŒossindex-lib”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'ossindex-lib-1.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 11718ae7e5d0bd9987636caf9a58b968”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ossindex-lib-1.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b0bf98e55c0a886990a8849073af9b54be420aa69138922d4c1825bcc29f4c13”h2NhNh3(Œimportlib-metadata >=3.4”Œ!packageurl-python >=0.9.0,<0.10.0”Œpython >=3.6,<4.0”Œpyyaml >=5.4.1”Œrequests >=2.20.0,<3.0.0”Œtinydb >=4.5.0,<5.0.0”Œtypes-pyyaml >=5.4.1,<6.0.0”Œtypes-requests >=2.25.1,<3.0.0”Œtypes-setuptools >=57.0.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÇÌÏ1hEMAHhFˆubh)”}”(hŒr-ggseqlogo”h#Œ0.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-ggseqlogo-0.1-r41hc72bb7e_1003.tar.bz2”h+Œ ad9a372c19b0100ead87e33643cf0668”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ggseqlogo-0.1-r41hc72bb7e_1003.tar.bz2”h0Œ@1504b6bc9fe71711219a1021ad684c2c41fd364a3ac58683a86486eabae6d26d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ+°eF{hEJ{è hFˆubh)”}”(hŒissho”h#Œ0.5.1”h%Œpy_0”h'K hhh(h)hŒissho-0.5.1-py_0.tar.bz2”h+Œ 783ee39a9c581223ccc7608cbc499bf8”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/issho-0.5.1-py_0.tar.bz2”h0Œ@fb161f95a0c369a149d5585d17125bec085c3d3a9b59523a53f6b67345bd3f38”h2NhNh3(Œfire”Œhumanize”Œkeyring”Œparamiko”Œprompt_toolkit”Œpython >=3.5”Œ	sshtunnel”Œtoml”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Dërœ“hEM{7hFˆubh)”}”(hŒlibxi-devel-cos7-aarch64”h#Œ1.7.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libxi-devel-cos7-aarch64-1.7.9-h9b0a68f_105.tar.bz2”h+Œ 1d3567b96b6c8472e86f2500201fef86”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-aarch64-1.7.9-h9b0a68f_105.tar.bz2”h0Œ@bae20f184294ae26c1161fe826830b115cc1059169ff5d63ab7d080da481a1b0”h2NhNh3Œ libxi-cos7-aarch64 ==1.7.9 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@_VJJhEJv hFˆubh)”}”(hŒlockfile”h#Œ0.12.2”h%Œpy_1”h'Khhh(h)hŒlockfile-0.12.2-py_1.tar.bz2”h+Œ c104d98e09c47519950cffb8dd5b4f10”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/lockfile-0.12.2-py_1.tar.bz2”h0Œ@d3a68045ef74a2a7b8c8a55b242fdbc875d362e37adcf793613cf0d8c8e4fbf7”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÑ¸¼¬ZhEMh*hFˆubh)”}”(hŒr-chromomap”h#Œ4.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-chromomap-4.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 2fd435338c24458662ae8bbc5b07c264”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-chromomap-4.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@86244c7ac520661497e3de5225a271f692175e7d02bd28663e140b6eace781d2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.3.6”Œr-htmlwidgets >=1.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØŒzéV$ÝhEJvÞ hFˆubh)”}”(hŒgtk2-cos7-ppc64le”h#Œ2.24.31”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.gtk2-cos7-ppc64le-2.24.31-h9d98e8f_104.tar.bz2”h+Œ efc3294b4a80d835cf4b278b22887d0c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gtk2-cos7-ppc64le-2.24.31-h9d98e8f_104.tar.bz2”h0Œ@7136a234f8fc35678439b9b0de3d8c93e4af698bc702455366897c0cd69f00cd”h2NhNh3(Œatk-cos7-ppc64le >=1.29.4 *_104”Œ!glib2-cos7-ppc64le >=2.28.0 *_104”Œ"libtiff-cos7-ppc64le >=3.6.1 *_104”Œ'libxrandr-cos7-ppc64le >=1.2.99.4 *_104”Œ!pango-cos7-ppc64le >=1.20.0 *_104”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}ëw+hEJ£9> hFˆubh)”}”(hŒ	litereval”h#Œ0.0.11”h%Œpy_0”h'K hhh(h)hŒlitereval-0.0.11-py_0.tar.bz2”h+Œ 87c12be6941934ea5cd24ee92a98d7d3”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/litereval-0.0.11-py_0.tar.bz2”h0Œ@d77cdd6d2126c14b9a667c3bf99078d2e6c962b31851078097fd71cd05d0962e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGA×{‹s•hEM$ hFˆubh)”}”(hŒ
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itkwidgets”Œjupyter”Œmatplotlib-base”Œnapari”Œnumpy >=1.15.1”Œpandas >=0.23.4”Œpython >=3.7”Œscikit-image >=0.18.0,<0.19.0”Œscipy >=1.1.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ½¬ç8ÔþhEJÂ•K hFˆubh)”}”(hŒr-bioset”h#Œ0.2.3”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ$r-bioset-0.2.3-r41hc72bb7e_3.tar.bz2”h+Œ 5d0b61c17b2de2c904bf01d373f1058f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bioset-0.2.3-r41hc72bb7e_3.tar.bz2”h0Œ@15b01809f9a71e8ec9a367fe5abab4ba42218981a5cf96a93e3b6d5269af0860”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.4”Œr-magrittr >=1.5”Œr-rlang >=0.1.2”Œr-tibble >=1.3.4”Œr-tidyr >=0.7.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ¢›r°hEJ®— hFˆubh)”}”(hŒpixman-devel-cos7-aarch64”h#Œ0.34.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5pixman-devel-cos7-aarch64-0.34.0-h9b0a68f_105.tar.bz2”h+Œ f64f4fc88af5e7f9c30936a570c88181”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pixman-devel-cos7-aarch64-0.34.0-h9b0a68f_105.tar.bz2”h0Œ@cdc428c1e79852d8a5ff8bf251489ce2bd293f060c78d0da185db0dfc5bdd92c”h2NhNh3Œ"pixman-cos7-aarch64 ==0.34.0 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Z•  hEMg7hFˆubh)”}”(hŒmesa-libglapi-cos7-ppc64le”h#Œ18.3.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6mesa-libglapi-cos7-ppc64le-18.3.4-h9d98e8f_104.tar.bz2”h+Œ 61c0988bd1f71d7c67e8a3daa2a62471”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-ppc64le-18.3.4-h9d98e8f_104.tar.bz2”h0Œ@76f05e519e70252079dc866dc59f1709ffb5c0a967e5ff492be9172ad1ecd9d0”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyNG®hEMÎµhFˆubh)”}”(hŒpymcdm”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pymcdm-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ f70d23ea04f71badafb816d8bf85ffa5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pymcdm-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b233abc9a5575417c27896ea0a18a2464688b0269ab2e067b29a30fe19b43b47”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.7”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÊü—l‹hEMD•hFˆubh)”}”(hŒatk-cos7-x86_64”h#Œ2.28.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ,atk-cos7-x86_64-2.28.1-hdf0574f_1102.tar.bz2”h+Œ 379d935a395689258da5fc43b97aee3e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos7-x86_64-2.28.1-hdf0574f_1102.tar.bz2”h0Œ@fd7564b0da6e3d68cdacc4126107855e90627bdb1350a9d145031a9c43989dc5”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi<KçmhEJžQ hFˆubh)”}”(hŒkernel-headers_linux-aarch64”h#Œ4.18.0”h%Œh5b4a56d_13”h'Khhh(h)hŒ7kernel-headers_linux-aarch64-4.18.0-h5b4a56d_13.tar.bz2”h+Œ a9385e5b11a076c40d75915986f498d7”h.Œehttps://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-aarch64-4.18.0-h5b4a56d_13.tar.bz2”h0Œ@14e227d98193550f9da275e58e27de104ab569849f1ce16b810fae4d7b351d49”h2NhNh3)h6Œsysroot_linux-aarch64 ==2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ_'ê¬hEJnÁ hFˆubh)”}”(hŒr-qlcmatrix”h#Œ0.9.7”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ*r-qlcmatrix-0.9.7-r41hc72bb7e_1003.tar.bz2”h+Œ aa44391865bd7a9e3983a9882e7625d8”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-qlcmatrix-0.9.7-r41hc72bb7e_1003.tar.bz2”h0Œ@210816284a4bc259a4e800eaabe8eb684ce67b5da4abba6132068635029fa83c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-docopt”Œr-matrix >=1.1_0”Œr-slam >=0.1_32”Œr-sparsesvd”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ0"Û…hEJÂó2 hFˆubh)”}”(hŒimages-into-array”h#Œ2.0.7”h%Œpyh8a188c0_0”h'K hhh(h)hŒ,images-into-array-2.0.7-pyh8a188c0_0.tar.bz2”h+Œ ec0e29575693da929f446415816c58de”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/images-into-array-2.0.7-pyh8a188c0_0.tar.bz2”h0Œ@d1ad22a9bd40fdb563c3b095e7d342a99112811a39d5353fd0c9d192deb5dbcc”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÒþ5?hEM"hFˆubh)”}”(hŒr-rideogram”h#Œ0.2.2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-rideogram-0.2.2-r40h6115d3f_1.tar.bz2”h+Œ e75025e0755bad9f91c1585301dbb222”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rideogram-0.2.2-r40h6115d3f_1.tar.bz2”h0Œ@304f1f8ac267f6eec98a5d24d791767ea12d756a67b9df1ebfd56126fbcbc634”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-grimport2”Œr-rsvg”Œr-scales”Œr-tidyr”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA×¬•zÐA‰hEJ–) hFˆubh)”}”(hŒlibxshmfence-cos7-ppc64le”h#Œ1.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxshmfence-cos7-ppc64le-1.2-ha826a6f_1103.tar.bz2”h+Œ 39d4077894d8b35048d0436c163c03a7”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-ppc64le-1.2-ha826a6f_1103.tar.bz2”h0Œ@59201511d5cbc7bbc546ccc13556ca04ad3cab191ea2d02f62f4efd074f4ce6f”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0XÆ—hEMh#hFˆubh)”}”(hŒr-nsga2r”h#Œ1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-nsga2r-1.1-r42hc72bb7e_1.tar.bz2”h+Œ 68e2874cc03244f062f899fea026ad66”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-nsga2r-1.1-r42hc72bb7e_1.tar.bz2”h0Œ@b54dd292dcee6c97f590c740a1d9cf6d599ca4279a955c5f92fe89990c15e41f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mco”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÒEÉ“33hEMþÁhFˆubh)”}”(hŒr-oner”h#Œ2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ r-oner-2.2-r41hc72bb7e_1.tar.bz2”h+Œ a4f5e6245f49bea2d5c9f4aabf56f5c7”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-oner-2.2-r41hc72bb7e_1.tar.bz2”h0Œ@4d638a8d7e7966c4214ef501f4e9c11b4a90cba2a07af375d643e42e7bf1a008”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ–,›¦hEJ³Ã hFˆubh)”}”(hŒsmmap2”h#Œ3.0.1”h%Œpy_0”h'K hhh(h)hŒsmmap2-3.0.1-py_0.tar.bz2”h+Œ d3f2828669f94adefa28fe06d0916d66”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/smmap2-3.0.1-py_0.tar.bz2”h0Œ@13492b0c1c925c2b68733ba8a2ae2fa8350b0e2730369467904c549d8fa6716f”h2NhNh3Œpython”Œsmmap >=3.0.1”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×”ûâÐõÃhEMmhFˆubh)”}”(hŒ	r-sciplot”h#Œ1.2_0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-sciplot-1.2_0-r40hc72bb7e_1.tar.bz2”h+Œ 1cbffc8a8cf4f8fc2fc3f7d732d09942”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sciplot-1.2_0-r40hc72bb7e_1.tar.bz2”h0Œ@48dd9fc0443c40e344d1921c6234bff938982cc4903fdd8c5bccf0749827a52e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+õvÉhEM)ÉhFˆubh)”}”(hŒlibsepol-cos7-ppc64le”h#Œ2.5”h%Œh1795305_1101”h'MMhhh(h)hŒ/libsepol-cos7-ppc64le-2.5-h1795305_1101.tar.bz2”h+Œ ecd1b2458c04f6bdf485bbccb03dceca”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-ppc64le-2.5-h1795305_1101.tar.bz2”h0Œ@50671cea83e154b8788d11c5138985a2eae3790d4e621102b71a838404403c82”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å&'CC–hEJ‚• hFˆubh)”}”(hŒr-naturalsort”h#Œ0.1.3”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ,r-naturalsort-0.1.3-r35h6115d3f_1002.tar.bz2”h+Œ 89fcb7dd2a2a1f5bcd2bccbc8e721a73”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-naturalsort-0.1.3-r35h6115d3f_1002.tar.bz2”h0Œ@c887f2cc87f44570a413a411a123395087180d4c7ed8475488d75a2639a6bae5”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×Ln–ÀQìhEM/ThFˆubh)”}”(hŒ	r-pairsd3”h#Œ0.1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-pairsd3-0.1.3-r40hc72bb7e_0.tar.bz2”h+Œ 6d10d18635a824b3c494ae2792591eaa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pairsd3-0.1.3-r40hc72bb7e_0.tar.bz2”h0Œ@3bf1ceb710537ebdb371f95846c7bbe21dfd11bd0c84ab5c90cc1dfecb3b082e”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-htmlwidgets >=0.3.2”Œr-shiny”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ§ Qzn˜hEJ’ž hFˆubh)”}”(hŒmesa-libegl-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5mesa-libegl-cos7-ppc64le-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ 2056b46dcfb5484878852ac52a5f52cf”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-ppc64le-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@e3aaa333b25ef4f2243f49c21d06baf8e2b81d0bb47b0fbe765b4c51dc021cfd”h2NhNh3Œ(mesa-libgbm-cos7-ppc64le ==18.3.4 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@xæ‡+hEJ÷Â hFˆubh)”}”(hŒr-futile.logger”h#Œ1.4.3”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ/r-futile.logger-1.4.3-r351h6115d3f_1001.tar.bz2”h+Œ 22258ca4888d48ac934e64ee219adb85”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-futile.logger-1.4.3-r351h6115d3f_1001.tar.bz2”h0Œ@9f6cf1f240012d0e81969da9212490f14eb3bebd79b5ca570cb4dc742dfaee75”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-futile.options”Œr-lambda.r >=1.1.0”‡”h9hºh@ŒLGPL-3”hBŒLGPL”hDGAÖükƒQìhEJ[« hFˆubh)”}”(hŒarbol”h#Œ2021.5.27.641”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(arbol-2021.5.27.641-pyhd8ed1ab_0.tar.bz2”h+Œ 2331b7ecdd460c466fb0516d8f8397ab”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/arbol-2021.5.27.641-pyhd8ed1ab_0.tar.bz2”h0Œ@e4171c2265a4b43cc220392681b69a326404693f878c5bbec2dcd7e1987cb04c”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause OR MIT”hDGAØ‚LÎÜ1hEMŸ*hFˆubh)”}”(hŒr-rpmg”h#Œ2.2_3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-rpmg-2.2_3-r35h6115d3f_0.tar.bz2”h+Œ 40b43c5d5c0d55aa62dd49d6cf2afecf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpmg-2.2_3-r35h6115d3f_0.tar.bz2”h0Œ@64b83e1f56b41322e0603b8afee99afe612ce855b7bde93574ab05bca3f6c36d”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×cP¡_®hEJ±H hFˆubh)”}”(hŒ	r-cvtools”h#Œ0.3.2”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ(r-cvtools-0.3.2-r36h6115d3f_1003.tar.bz2”h+Œ 829f5c589ab69147bf26b68fba6578b3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cvtools-0.3.2-r36h6115d3f_1003.tar.bz2”h0Œ@449c9b0079d93fd56d4b8f87d5b019f8867c5c59a0de9cbc4a07b367b5b235da”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-lattice”Œr-robustbase”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«ëPhEJ# hFˆubh)”}”(hŒr-palmerpenguins”h#Œ0.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-palmerpenguins-0.1.1-r40hc72bb7e_0.tar.bz2”h+Œ c81fcad3bd36411d776dfd5523fd1040”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-palmerpenguins-0.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@115a5f72c491b7637d6aadc970f7f96515a0cbea6b412bfe1549da11a5c9abfa”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØ¾•Û#hEJV. hFˆubh)”}”(hŒr-hmsc”h#Œ3.0_13”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-hmsc-3.0_13-r40hc72bb7e_0.tar.bz2”h+Œ 75dd1539a9bff9415beeea53d977cd27”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-hmsc-3.0_13-r40hc72bb7e_0.tar.bz2”h0Œ@4fa195db301f18700493436a71f9d3bcfb97446180660b3850a93d666fe4c5f2”h2NhNh3(Œr-abind”Œr-ape”Œr-base >=4.0,<4.1.0a0”Œr-bayeslogit”Œr-coda”Œr-fields”Œr-fnn”Œ	r-ggplot2”Œr-mass”Œr-matrix”Œr-matrixstats”Œ
r-mcmcpack”Œr-nnet”Œr-pracma”Œr-proc”Œr-rlang”Œr-sp”Œ	r-statmod”Œr-truncnorm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÂŒØéyhEJà!+ hFˆubh)”}”(hŒocetrac”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"ocetrac-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 946694a5e79e7e44b3a6b3b43f3dcc25”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ocetrac-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@c9a765dca8b9d700abbf3144b1fb03cd976f70ad24ff58f36b7b638fefc7be4a”h2NhNh3(Œdask”Œnumpy”Œpython >=3.6”Œscikit-image”Œscipy”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØGjX—®hEM;)hFˆubh)”}”(hŒ
r-hydrotsm”h#Œ0.6_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-hydrotsm-0.6_0-r41hc72bb7e_1.tar.bz2”h+Œ 411d505f3c7a86d1b71f038e2c1ff72c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hydrotsm-0.6_0-r41hc72bb7e_1.tar.bz2”h0Œ@9d5e1a3cacabeb05b1ec8b58d9b545271033b15c74bbac75b1a70128c9f50fda”h2NhNh3(Œ	r-automap”Œr-base >=4.1,<4.2.0a0”Œr-e1071”Œr-gstat”Œ	r-lattice”Œ
r-maptools”Œr-sp >=1.1_0”Œr-xts >=0.9_7”Œr-zoo >=1.7_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑŽ?W²hEJÞŠ hFˆubh)”}”(hŒggplot”h#Œ0.11.5”h%Œpy_5”h'Khhh(h)hŒggplot-0.11.5-py_5.tar.bz2”h+Œ e1af019ed3ad9488f677aa394a41a40e”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/ggplot-0.11.5-py_5.tar.bz2”h0Œ@6198ff014bfc10bdacf163525967c8bace9ac7485930dfcab5c06e8dd85ca643”h2NhNh3(Œ
brewer2mpl”Œcycler”Œmatplotlib-base”Œnumpy”Œpandas <=0.22.0”Œpatsy >=0.4”Œpython”Œscipy”Œsix”Œstatsmodels”t”h9h?h@ŒBSD 2-Clause”hBŒBSD”hDGA×‘T@dZhEJx hFˆubh)”}”(hŒr-auc”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-auc-0.3.2-r41hc72bb7e_0.tar.bz2”h+Œ 66ef7aa5ac771fc4aa638c4c729222f3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-auc-0.3.2-r41hc72bb7e_0.tar.bz2”h0Œ@e198a1864a49b4a318eb08264b76307db8e914ed705d285dbab9630e473ca246”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ’è„‘‡hEM°èhFˆubh)”}”(hŒxcmocean”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#xcmocean-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 79fe835f58ec9c0490f433c100395bbf”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/xcmocean-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@80143648a5f85a2686fb3554eed7f578ae5879e87cbc1f9348d9160321da1106”h2NhNh3Œcmocean”Œpython >=3.6”Œxarray”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ0I¶FhEMd%hFˆubh)”}”(hŒbake”h#Œ0.12.0”h%Œpyhc560c46_2”h'Khhh(h)hŒ bake-0.12.0-pyhc560c46_2.tar.bz2”h+Œ e363aa1ee9f56544c72e8b9235346451”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/bake-0.12.0-pyhc560c46_2.tar.bz2”h0Œ@0b1243eddd52e12cd3f5c8a33086fe00ef2919ac70b73547402dc96965a0caf1”h2NhNh3(Œclick”Œcolorama”Œ	delegator”Œnetworkx”Œpygments”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×x¯‡+hEM ThFˆubh)”}”(hŒorbit2-cos6-x86_64”h#Œ2.14.17”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0orbit2-cos6-x86_64-2.14.17-h9d98e8f_1104.tar.bz2”h+Œ 835091aa9010db0b9031b076806932df”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos6-x86_64-2.14.17-h9d98e8f_1104.tar.bz2”h0Œ@08e172c537ce42d192b9e11f304f5604db331cdb947e2b26fd3114d053ee1c01”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Ézæº^5hEJ¾ê hFˆubh)”}”(hŒsolana”h#Œ0.18.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"solana-0.18.3-pyhd8ed1ab_0.tar.bz2”h+Œ 89926ecc387de3ff65c7ab296aeb432d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/solana-0.18.3-pyhd8ed1ab_0.tar.bz2”h0Œ@d2167934a78dd849934bdacc05b5e106e6f7a5be02a287d5ea0093015f00978e”h2NhNh3(Œbase58 >=2.0.1”Œcachetools >=4.2.2,<5.0.0”Œconstruct >=2.10.56”Œconstruct-typing >=0.5.2”Œhttpx >=0.18.2,<0.19.0”Œpynacl >=1.4”Œpython >=3.7”Œrequests >=2.24.0”Œtypes-cachetools >=4.2.4,<5.0.0”Œ!typing-extensions >=3.10.0,<4.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØg5Õã¶FhEMÇÔhFˆubh)”}”(hŒr-rfutilities”h#Œ2.1_5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-rfutilities-2.1_5-r41hc72bb7e_1.tar.bz2”h+Œ 64e85887cc6a10c3e3d60abfb29efe5a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rfutilities-2.1_5-r41hc72bb7e_1.tar.bz2”h0Œ@b11b82cb827d2502b24e13c6f1241e9064a066ec1dbf4690d4e9b8f30c91ea7e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-randomforest >=4.6_12”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+Šý¡ËhEJ‹Æ hFˆubh)”}”(hŒlibbonobo-devel-cos7-ppc64le”h#Œ2.32.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9libbonobo-devel-cos7-ppc64le-2.32.1-h9d98e8f_1104.tar.bz2”h+Œ e7ab6ed00f72e7628c4e67b7151ec46c”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos7-ppc64le-2.32.1-h9d98e8f_1104.tar.bz2”h0Œ@495d166efba69106fe6563712f672cce41f0b7c1245fa8ed3b646cc8ea607b3f”h2NhNh3(Œ&libbonobo-cos7-ppc64le ==2.32.1 *_1104”Œ*libxml2-devel-cos7-ppc64le >=2.4.21 *_1104”Œ(orbit2-devel-cos7-ppc64le >=2.7.5 *_1104”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Év?ïžhEJYÀ hFˆubh)”}”(hŒr-learnbayes”h#Œ2.15.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ,r-learnbayes-2.15.1-r36h6115d3f_1002.tar.bz2”h+Œ 112a4e5d6d5b68cb8eaceb21b64f11f6”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-learnbayes-2.15.1-r36h6115d3f_1002.tar.bz2”h0Œ@c4d4ee3711db44e62b33fd894288259d073fcfee6b5e73f6ba75f0151d9a4b1e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«ÎqƒhEJŒ hFˆubh)”}”(hŒplaster_pastedeploy”h#Œ0.7”h%Œpy_0”h'K hhh(h)hŒ$plaster_pastedeploy-0.7-py_0.tar.bz2”h+Œ 5dacba3f9ed10daa3ed0c93dda555f03”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/plaster_pastedeploy-0.7-py_0.tar.bz2”h0Œ@4a5c22d07a6fda41d7258a6a1852f82ee532ec6a4e098f8d6d24178af56bdaa7”h2NhNh3Œpastedeploy >=1.5.0”Œplaster >=0.5”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×,UªÐåhEM'hFˆubh)”}”(hŒp11-kit-trust-cos6-x86_64”h#Œ0.18.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6p11-kit-trust-cos6-x86_64-0.18.5-h9d98e8f_1104.tar.bz2”h+Œ 659930df36bbf047846cd543726830fd”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos6-x86_64-0.18.5-h9d98e8f_1104.tar.bz2”h0Œ@3961b93bf6df951cae378db2933e2e42e3518048c29e7ed9226ddf6ea4dcd31e”h2NhNh3Œ#p11-kit-cos6-x86_64 ==0.18.5 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×É|Þ¥ãhEJA+ hFˆubh)”}”(hŒmesa-libegl-cos7-ppc64le”h#Œ18.3.4”h%Œ
h1341992_0”h'K hhh(h)hŒ2mesa-libegl-cos7-ppc64le-18.3.4-h1341992_0.tar.bz2”h+Œ 220f740e3c4a3a3d949beeb577e30226”h.Œ`https://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-ppc64le-18.3.4-h1341992_0.tar.bz2”h0Œ@97a82fdf32bf05a734f07415f38238799d7da1ce0b6f829ca9b9fa0138f1a7a8”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×sm¡ËhEJ×Â hFˆubh)”}”(hŒaiida-wannier90_workflows”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4aiida-wannier90_workflows-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ d75010db6274a800a0a17a8b8075fdfc”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/aiida-wannier90_workflows-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@11f64b47aaec46294029215dc0d38e6f9c1350f83b1a50be5baf3f03702c429e”h2NhNh3(Œaiida-core >=1.1.1,<2”Œaiida-quantumespresso >=3.0.0a6”Œaiida-wannier90 >=2.0.0”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶`ÐÄœhEMžWhFˆubh)”}”(hŒ
r-multiroc”h#Œ1.1.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ)r-multiroc-1.1.1-r35h6115d3f_1001.tar.bz2”h+Œ 5f22b37250f0cefcad176fef1e676f4e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r35h6115d3f_1001.tar.bz2”h0Œ@6734f45db6b3ed3ec64b65ee15b00fac8597824937bc1e139434b6e1d73b022c”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-boot”Œ
r-magrittr”Œr-zoo”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÎt“hEJ.! hFˆubh)”}”(hŒ	r-distill”h#Œ1.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-distill-1.5-r41hc72bb7e_0.tar.bz2”h+Œ ca8bae64ffb06e6d956d90cd4c7ae538”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-distill-1.5-r41hc72bb7e_0.tar.bz2”h0Œ@29e1a3aa7c495480514fc79421600e51aec8d656cad82913531220e07c3b88a2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downlit >=0.2”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œ	r-openssl”Œr-png”Œr-rmarkdown >=2.5”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÆ#Úú^5hEJþ8 hFˆubh)”}”(hŒ
textattack”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%textattack-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ b8cc94d1bae0d5660f6f38ff3626781b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/textattack-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f4a878b600ed45d99a66f3be4e711d6822bd53a1417ab7fd3d98797509e1cf6b”h2NhNh3(Œ
bert_score”Œdatasets”Œeditdistance”Œfilelock”Œlanguage_tool_python”Œlemminflect”Œlru-dict”Œmore-itertools”Œnltk”Œ	num2words”Œnumpy <1.19.0”Œpandas”Œpython >=3.6”Œpython-flair”Œpytorch”Œscipy”Œterminaltables”Œ
tokenizers”Œtqdm”Œtransformers”Œvisdom”Œword2number”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ6âþLZhEJ¯ hFˆubh)”}”(hŒr-shinymeta”h#Œ0.2.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-shinymeta-0.2.0.3-r41hc72bb7e_0.tar.bz2”h+Œ fbbd55fd98ba6c189e62379ba3374d6b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinymeta-0.2.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@851f3d620edcf2cfacca9b913712516d2776cf98889e0e1cc0e8d3d399656fdc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr”Œ	r-fastmap”Œr-fs”Œr-htmltools”Œr-rlang”Œr-shiny >=1.6.0”Œr-sourcetools”Œr-styler”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØwÐEºn˜hEJéL hFˆubh)”}”(hŒ
dagster_ge”h#Œ0.6.7.post0”h%Œpy_0”h'K hhh(h)hŒ#dagster_ge-0.6.7.post0-py_0.tar.bz2”h+Œ d99e9e321474a859bd87b572de42805e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dagster_ge-0.6.7.post0-py_0.tar.bz2”h0Œ@a596dba2c7bfe653886f56d9cafb9126b4072a3fef1df3f388706aecb3fe7c2d”h2NhNh3Œdagster 0.6.7.post0.*”Œgreat-expectations <=0.7.6”Œpython”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×‡L°:=qhEMb&hFˆubh)”}”(hŒ
r-spscomps”h#Œ0.3.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-spscomps-0.3.2.1-r41hc72bb7e_0.tar.bz2”h+Œ eaa350b3313fa7826719bbe55b5704a7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-spscomps-0.3.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@4f25a324d8fad5305d44527af3fe2a13d764bfa65a8a09a3f62af2ff0250be8c”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-glue >=1.4.0”Œr-htmltools”Œ
r-magrittr”Œr-r6”Œr-shiny >=1.5.0”Œ
r-shinyace”Œr-shinytoastr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÀƒhEJä¶ hFˆubh)”}”(hŒr-rpmg”h#Œ2.2_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-rpmg-2.2_3-r41hc72bb7e_1.tar.bz2”h+Œ 1fec74c48eac674d355494fa6a2bd025”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rpmg-2.2_3-r41hc72bb7e_1.tar.bz2”h0Œ@91aa573c6dfe50e4d16e279ced24f77d1b2a65044ac1942d163320e628953e0f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ*Þˆ|îhEJ@O hFˆubh)”}”(hŒlibpng-cos7-aarch64”h#Œ1.5.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libpng-cos7-aarch64-1.5.13-h9b0a68f_1105.tar.bz2”h+Œ 2c6c1009ca74465cdb5175cdf9ec5a54”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libpng-cos7-aarch64-1.5.13-h9b0a68f_1105.tar.bz2”h0Œ@d8ddb4859bca6054868a4f4c7ceddb88cb57d58867bf9cde79ca604b785fe91c”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@Œzlib”hBŒOther”hDGAØ@‰]¸hEJ hFˆubh)”}”(hŒopenfisca-core-dev”h#Œ35.9.0”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ.openfisca-core-dev-35.9.0-pyh1a96a4e_0.tar.bz2”h+Œ eed1b6d238d3d76d2a7920db72ad1538”h.Œ\https://conda.anaconda.org/conda-forge/noarch/openfisca-core-dev-35.9.0-pyh1a96a4e_0.tar.bz2”h0Œ@e0a7f51af246b52fe77e7f3662745ed49b7d5115825b8d28ba0b18cab59bb034”h2NhNh3(Œautopep8 >=1.4.0,<1.6.0”Œcoverage 6.0.2”Œdarglint 1.8.0”Œflake8 >=3.9.0,<4.0.0”Œflake8-bugbear >=19.3.0,<20.0.0”Œflake8-docstrings 1.6.0”Œflake8-print >=3.1.0,<4.0.0”Œflake8-rst-docstrings 0.2.3”Œ
mypy 0.910”Œ&openfisca-core-api 35.9.0 pyh1a96a4e_0”Œ*openfisca-country-template >=3.10.0,<4.0.0”Œ.openfisca-extension-template >=1.2.0rc0,<2.0.0”Œpylint 2.10.2”Œpython”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØÃ]²ÐåhEMiJhFˆubh)”}”(hŒr-jfa”h#Œ0.6.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-jfa-0.6.4-r41hc72bb7e_0.tar.bz2”h+Œ 5e6c910b7216b00fa4f215315ee4696c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-jfa-0.6.4-r41hc72bb7e_0.tar.bz2”h0Œ@886f635fe504d43c47d75aed4cd4cca535d80186d9f28b16fd6bab1c7b5063f4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-extradistr”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØªã2¦ÙhEJÏÏ hFˆubh)”}”(hŒversioned-hdf5”h#Œ1.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)versioned-hdf5-1.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ f74094b6f8dd60b1f780d1ce25b716d2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/versioned-hdf5-1.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c2e413e8df790f8fa21ee10d9d9ae59b68590f6f004622dcc717a773d9595d71”h2NhNh3(Œh5py <3”Œndindex >=1.5”Œnumpy”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØR›Ö‡+hEM …hFˆubh)”}”(hŒr-plasmidprofiler”h#Œ0.1.6”h%Œr36_1001”h'Méhhh(h)hŒ(r-plasmidprofiler-0.1.6-r36_1001.tar.bz2”h+Œ 229e0b709780c3945fab550ac8668b90”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-plasmidprofiler-0.1.6-r36_1001.tar.bz2”h0Œ@20021af168b1cb0d1b19afe4b19929b48ee7aa0bf029b5d4203ff561cbc3766e”h2NhNh3(Œr-ape”Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-gdata”Œ
r-ggdendro”Œ	r-ggplot2”Œr-gridextra”Œr-gtable”Œr-htmlwidgets”Œ
r-magrittr”Œr-plotly”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”Œ	r-stringr”t”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGA×LÇ¢n˜hEJK™ hFˆubh)”}”(hŒnappy”h#Œ2.0.2”h%Œpyh8a188c0_0”h'K hhh(h)hŒ nappy-2.0.2-pyh8a188c0_0.tar.bz2”h+Œ c227ecc92e7d4d9035b59998319b8e64”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/nappy-2.0.2-pyh8a188c0_0.tar.bz2”h0Œ@45469d4798a0aa3ecb8ba2e15996f11850bb22b839fe0858b022930c9e3e5fd0”h2NhNh3(Œ	cf_xarray”Œcftime”Œnetcdf4”Œnumpy >=1.19.5,<2.0a0”Œpython >=3.6”Œscipy”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŒÅ™¢MÓhEM·öhFˆubh)”}”(hŒr-gpca”h#Œ1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ r-gpca-1.0-r36h6115d3f_0.tar.bz2”h+Œ 27568bb7cd59d437d8d0ec853ddc1bd1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-gpca-1.0-r36h6115d3f_0.tar.bz2”h0Œ@bdfe639d47326077002ee7cb58858bc616c91384f6f3fb82791277d645754133”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×d¤` ÅhEJs‘@ hFˆubh)”}”(hŒlibxcb-devel-cos7-aarch64”h#Œ1.13”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libxcb-devel-cos7-aarch64-1.13-h9b0a68f_105.tar.bz2”h+Œ ad24f20de4d12034563d156aff73170e”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcb-devel-cos7-aarch64-1.13-h9b0a68f_105.tar.bz2”h0Œ@82ee533a6c525d3204624c20ed9ffef4f3e5a3929a7437f610cda5fe10ba3948”h2NhNh3Œ libxcb-cos7-aarch64 ==1.13 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\	Œ9XhEJß hFˆubh)”}”(hŒcellpose”h#Œ2.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#cellpose-2.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ a6fb3d5904e7df777d7bbcbd295e1cfa”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cellpose-2.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@76fa1988a85a7e29528bf67cad2fb5f2a489f7127237eecc033caecf15ff941f”h2NhNh3(Œ	fastremap”Œnatsort”Œnumba”Œnumpy >=1.20.0”Œopencv”Œpython >=3.6”Œpytorch >=1.6”Œscipy”Œtifffile”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØžüh³•hEJLn hFˆubh)”}”(hŒdesign-by-contract”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-design-by-contract-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 944d82b38f009d32f80f81f4b7dd7059”h.Œ[https://conda.anaconda.org/conda-forge/noarch/design-by-contract-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6911d0db4f17d463be2fe024068a7e73195b8ea9d60f4571c062b06faffa2bed”h2NhNh3Œpython >=3.10,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶ÕëøõÃhEMB1hFˆubh)”}”(hŒxcb-util-devel-cos6-x86_64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6xcb-util-devel-cos6-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ 5eec302a2bbb789d6591b0910eb9fd67”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-devel-cos6-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@1793f29c7dc3af0064231609f7bb8c8d8a4a68d22f6b71d084aaabff10d42a86”h2NhNh3Œsysroot_linux-64 2.12.*”Œ#xcb-util-cos6-x86_64 ==0.4.0 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØu$af§ðhEM›!hFˆubh)”}”(hŒiapws”h#Œ1.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ iapws-1.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ c5cad28f7c667df1910c3e9f8213c5eb”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/iapws-1.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@5721df7aec21128e3bc9513c61263255751f7463f615ae9aba660e0a33977260”h2NhNh3Œpython >=3.6”Œscipy >=1.2”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÍ)}Ç²hEJeˆ hFˆubh)”}”(hŒfontconfig-devel-cos7-aarch64”h#Œ2.13.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9fontconfig-devel-cos7-aarch64-2.13.0-h9d98e8f_104.tar.bz2”h+Œ 025be86f363344ac29b99e025001be9e”h.Œghttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos7-aarch64-2.13.0-h9d98e8f_104.tar.bz2”h0Œ@7d8e41450e851fb6570ff95e42ebffac2fca4df28a8706eb6c52f55720a6efb4”h2NhNh3Œ&fontconfig-cos7-aarch64 ==2.13.0 *_104”Œ'freetype-devel-cos7-aarch64 >=2.8 *_104”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×É}®vÉhEJJ hFˆubh)”}”(hŒorbit2-cos7-x86_64”h#Œ2.14.19”h%Œhdf0574f_1102”h'MNhhh(h)hŒ0orbit2-cos7-x86_64-2.14.19-hdf0574f_1102.tar.bz2”h+Œ 993cd4047a3e9abdeb744012b7e9fad4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-x86_64-2.14.19-hdf0574f_1102.tar.bz2”h0Œ@904bed02e26afc8b3a20cb0c1bd36f0c9e3007fa5d032b7f2fc2bcd1388e2513”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Åi‰a%hEJÕý hFˆubh)”}”(hŒr-rprojroot”h#Œ2.0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-rprojroot-2.0.3-r40hc72bb7e_0.tar.bz2”h+Œ e995475b6817ef09c1db963561a0dbdb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rprojroot-2.0.3-r40hc72bb7e_0.tar.bz2”h0Œ@a5df45734869ba7385d0cbfabc107d92c0001ca92058287f9a4f1e6118927e50”h2NhNh3Œr-backports”Œr-base >=4.0,<4.1.0a0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ’9;×ïžhEJ~Ë hFˆubh)”}”(hŒ
paramspace”h#Œ2.5.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%paramspace-2.5.9-pyhd8ed1ab_0.tar.bz2”h+Œ 398d8215c126a3859b831f945a19dba6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/paramspace-2.5.9-pyhd8ed1ab_0.tar.bz2”h0Œ@70f42895680418c726b02cfb359c5e24d1affd87a4965d6271a1928afc34616a”h2NhNh3(Œnumpy >=1.17.3”Œpython >=3.6”Œruamel.yaml >=0.16.5”Œxarray >=0.10.9”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØƒã¨"¬hEMtˆhFˆubh)”}”(hŒ	r-timeroc”h#Œ0.4”h%Œr36h6115d3f_1”h'Khhh(h)hŒ#r-timeroc-0.4-r36h6115d3f_1.tar.bz2”h+Œ 578f79e8e42e3e0da50e70dff82d9c99”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-timeroc-0.4-r36h6115d3f_1.tar.bz2”h0Œ@4a5f585b6b7bba6a1f366de2f6981e2add62fe1158a1663f128c25648acb3fad”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mvtnorm >=1.0_1”Œr-pec >=2.4.4”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬—~ffhEJàä hFˆubh)”}”(hŒstreamz_ext”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒstreamz_ext-0.2.1-py_0.tar.bz2”h+Œ d64f542105dbc9dcc36c0726c0ff7926”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/streamz_ext-0.2.1-py_0.tar.bz2”h0Œ@55f278a14c38beb46ae6d1aed759142b90136a54bf9d1d2731d04d715dae51ee”h2NhNh3(Œdistributed”Œpython”Œstreamz”Œtoolz”Œtornado”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÚƒµ¸hEMæhFˆubh)”}”(hŒbio-embeddings”h#Œ0.2.2”h%Œpyhd8ed1ab_10”h'K
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r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×NÌOß;hEJ× hFˆubh)”}”(hŒgtk2-devel-cos7-ppc64le”h#Œ2.24.31”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5gtk2-devel-cos7-ppc64le-2.24.31-hdf0574f_1102.tar.bz2”h+Œ c729f8ea4e3d15983e5e367a8ed414bc”h.Œchttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos7-ppc64le-2.24.31-hdf0574f_1102.tar.bz2”h0Œ@f11a911f3a39aabde1917cfa2a17257a711181e22e5b15eaa04ad075bf116f62”h2NhNh3(Œ&atk-devel-cos7-ppc64le >=1.29.4 *_1102”Œ'cairo-devel-cos7-ppc64le >=1.6.0 *_1102”Œ(glib2-devel-cos7-ppc64le >=2.28.0 *_1102”Œ"gtk2-cos7-ppc64le ==2.24.31 *_1102”Œ(pango-devel-cos7-ppc64le >=1.20.0 *_1102”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åj¤9XhEJ*q6 hFˆubh)”}”(hŒ
whitenoise”h#Œ5.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%whitenoise-5.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1115ab0b1501bccc25617ae7d2cbf078”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/whitenoise-5.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d221331d1f120c197eb8f646543e8e87b2d25ab2e4dbd9ba0d846072e61684e5”h2NhNh3Œpython >=3.5,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ<wšE²-hEMNhFˆubh)”}”(hŒ
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r-shinysky”h#Œ2.0.0”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ)r-shinysky-2.0.0-r41ha770c72_1003.tar.bz2”h+Œ c44d8b6a76911fbe527fae3604ab9577”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinysky-2.0.0-r41ha770c72_1003.tar.bz2”h0Œ@bf90f8d019ea9bdca63e6c5ada26557fe5715d5a3e68c4ba89e00ecc94ba1052”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œ	r-rjsonio”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒÃÇ+hEJÌÖ hFˆubh)”}”(hŒflask-oauthlib”h#Œ0.9.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)flask-oauthlib-0.9.6-pyhd8ed1ab_0.tar.bz2”h+Œ 9b80baaf96956bb353c82d7cd5dd2cb4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/flask-oauthlib-0.9.6-pyhd8ed1ab_0.tar.bz2”h0Œ@88be5e2fe8bfc5a92eed958dc9d31870ca19b7cfae98c687f114344d25ed8010”h2NhNh3(Œcachelib”Œflask”Œ/oauthlib !=2.0.3,!=2.0.4,!=2.0.5,<3.0.0,>=1.1.2”Œpython >=3.6”Œ requests-oauthlib >=0.6.2,<1.2.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ,üÌý`BhEMhFˆubh)”}”(hŒlibnl3-cos7-ppc64le”h#Œ3.2.28”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libnl3-cos7-ppc64le-3.2.28-h9b0a68f_1105.tar.bz2”h+Œ 1d5ec584ddd135e1068f08b137499b79”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-ppc64le-3.2.28-h9b0a68f_1105.tar.bz2”h0Œ@90802d5dd46db53208f8fa3faf8e55392c6e117ce6b64b353c4cdf5623bed28a”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@‡N¥ãhEJª hFˆubh)”}”(hŒ	asyncinit”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$asyncinit-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 71ce2460130935bba53494a5a1b121e2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/asyncinit-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@f9c9e08326b9e9a0fed4f260e163a6702befa0da3410beb17964a1bf485f38cf”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÍKê\hEMåhFˆubh)”}”(hŒfelling”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"felling-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ e4392cf794adcbc54c63875863e409ad”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/felling-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@2e8a0a4d3c5abe12dad9cb89c6476678569e3e41d855470c307d23f01f6c57fb”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØãYó…hEM~ChFˆubh)”}”(hŒschema-salad”h#Œ8.0.20210624154013”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4schema-salad-8.0.20210624154013-pyhd8ed1ab_0.tar.bz2”h+Œ afedd2236c41b2bb2473c5f588924d14”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/schema-salad-8.0.20210624154013-pyhd8ed1ab_0.tar.bz2”h0Œ@57a4f1d340f39272f7392354ef0af61177225a976e44deb072a5a8e1e1d76233”h2NhNh3(Œcachecontrol >=0.11.7,<0.12”Œlockfile >=0.9”Œmistune >=0.8.1,<0.9”Œpython >=3.6”Œrdflib >=4.2.2,<=5.0.0”Œrdflib-jsonld >=0.3.0,<0.6.0”Œrequests >=1.0”Œ#ruamel.yaml >=0.12.4,<0.16|0.16.5.*”Œ
setuptools”Œtyping_extensions”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ5/JO|îhEJå¬ hFˆubh)”}”(hŒjsanimation”h#Œ0.1”h%Œpy_2”h'Khhh(h)hŒjsanimation-0.1-py_2.tar.bz2”h+Œ 17a5eaa29342010e0c3a70fd1e8288dd”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/jsanimation-0.1-py_2.tar.bz2”h0Œ@c61aeb114131b807be940c095ef87b0f5731df6fe1f2434c36e50fd841ef67f1”h2NhNh3Œmatplotlib-base”Œpython”†”h9h?h@ŒBSD2-Clause”hDGA×’È–È´hEMË9hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyh1d7be83_2”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyh1d7be83_2.tar.bz2”h+Œ 11a6eaf086a040b5315f526e85cbf433”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyh1d7be83_2.tar.bz2”h0Œ@20ceeeb47ac07bf6531383d881b4552ac858ea93225bbc7d3c5b9a823e1124fb”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
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r-jsonlite”Œr-rgeos”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒwÕGÎÙhEJMÆ hFˆubh)”}”(hŒ
r-tsstudio”h#Œ0.1.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-tsstudio-0.1.6-r41hc72bb7e_0.tar.bz2”h+Œ 39a648d7b4d6cf5f0104b52630ac6825”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tsstudio-0.1.6-r41hc72bb7e_0.tar.bz2”h0Œ@70a4962edfcebd26589b36f57a1b90710ed7f2d62bba9781267f88286a4e6b8b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.11.2”Œr-dplyr >=0.7.5”Œr-forecast >=8.2”Œr-forecasthybrid >=2.0.10”Œr-future >=1.10.0”Œr-future.apply >=1.0.1”Œr-lubridate >=1.6.0”Œr-magrittr >=1.5”Œr-plotly >=4.7.1”Œr-purrr >=0.2.5”Œr-rcolorbrewer >=1.1_2”Œr-reshape2 >=1.4.2”Œr-scales >=1.0.0”Œr-tidyr >=0.8.1”Œr-tsibble >=0.8.2”Œr-viridis >=0.5.1”Œr-xts >=0.12_0”Œr-zoo >=1.8_0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÖé2+hEJeá hFˆubh)”}”(hŒmesa-libgl-cos6-x86_64”h#Œ11.0.7”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2mesa-libgl-cos6-x86_64-11.0.7-h9b0a68f_105.tar.bz2”h+Œ cb5e223afe36d5701cb230556fdde05f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos6-x86_64-11.0.7-h9b0a68f_105.tar.bz2”h0Œ@e39dc1d85ac366b2f9a986f3e8fbdd2c6b4fc67ce1dc090ef149ee9c1e6080d1”h2NhNh3Œ!libdrm-cos6-x86_64 >=2.4.24 *_105”Œlibx11-cos6-x86_64 >1.6 *_105”Œ+mesa-dri-drivers-cos6-x86_64 ==11.0.7 *_105”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ZkÉ™šhEJ+Ò hFˆubh)”}”(hŒjupyterlab-kernelspy”h#Œ3.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/jupyterlab-kernelspy-3.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2b016084b385cdb76356894079f39c7f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/jupyterlab-kernelspy-3.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e1e4a9f81d571bee66a004b43a28dc2c138e278f56a7ad1084cc41c4a55bfbe4”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ—ª*äí‘hEMIŒhFˆubh)”}”(hŒjinja2”h#Œ3.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!jinja2-3.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 2d307d13155817b5f5da36cc69358fe6”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@2e8540885495caae929b5f2453ecb86eb6c0a78fa67977ab4488ec1244ce8213”h2NhNh3Œmarkupsafe >=2.0”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØhEJÿŠ hFˆubh)”}”(hŒmpl-scatter-density”h#Œ0.7”h%Œpy_0”h'K hhh(h)hŒ$mpl-scatter-density-0.7-py_0.tar.bz2”h+Œ 43bcec0ef40d74ef8e94a41f49945745”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/mpl-scatter-density-0.7-py_0.tar.bz2”h0Œ@c23a83fc9317d10ae6812757328e192074ccab98f0660824d9d788ecc4297b90”h2NhNh3(Œfast-histogram >=0.3”Œmatplotlib-base >=3.0”Œnumpy >=1.11”Œpython >=3.6”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×Ê¥ðà1'hEJ8
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GPL (>= 2)”hBŒGPL3”hDGA×¬þg€bhEJ0ä hFˆubh)”}”(hŒipy”h#Œ1.01”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒipy-1.01-pyhd8ed1ab_0.tar.bz2”h+Œ a85d5fbb4917109f534b96f596a99408”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/ipy-1.01-pyhd8ed1ab_0.tar.bz2”h0Œ@dea293f17ebcc556c6e3ddae65a05ff54d541f585e7171d5c075655bde752ce1”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØEîþæE¢hEMShFˆubh)”}”(hŒr-mskcc.oncotree”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-mskcc.oncotree-0.1.1-r42hc72bb7e_1.tar.bz2”h+Œ d32b94a32de49b2e184ef8ed7f79385b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-mskcc.oncotree-0.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@c0acd8b5634d052466072955f58b06aa2fb4ddf404d2e4472a76fb39cd95d311”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-glue”Œr-httr2”Œ
r-magrittr”Œ	r-memoise”Œr-purrr”Œr-readr”Œr-rlang”Œr-tibble”Œ
r-tidyjson”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒMÓ"ÑhEJ½‘ hFˆubh)”}”(hŒlibthai-cos6-x86_64”h#Œ0.1.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libthai-cos6-x86_64-0.1.12-h9b0a68f_1105.tar.bz2”h+Œ ac89d3abb5f24fd7f60781499842b262”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libthai-cos6-x86_64-0.1.12-h9b0a68f_1105.tar.bz2”h0Œ@270d5a07a046938cfbc80e3e36699ec9887551f9ba8d181306b53a517babe11c”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@W—ß;hEJÖ_ hFˆubh)”}”(hŒr-mefa”h#Œ3.2_8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-mefa-3.2_8-r40hc72bb7e_0.tar.bz2”h+Œ d793172a6cee27fb7f4205ff72e28d46”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mefa-3.2_8-r40hc72bb7e_0.tar.bz2”h0Œ@48826f6344fc503a580252cef560f205592d39c5ac645c8784379a03d22ed36f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØW¯{…ó¶hEJÁ hFˆubh)”}”(hŒ
jaydebeapi”h#Œ1.2.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%jaydebeapi-1.2.3-pyh9f0ad1d_0.tar.bz2”h+Œ 869cf2ea09f16fa4c91bc568b11ae7bd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jaydebeapi-1.2.3-pyh9f0ad1d_0.tar.bz2”h0Œ@392909d71c269933ddc09f67248456a385cfdc6468cf95257f8f4fe00038166b”h2NhNh3Œjpype1”Œpython”†”h9h?h@ŒLGPL-3.0”hBŒGPL”hDGA×ÊpÂÌÍhEMvhFˆubh)”}”(hŒ	r-geojson”h#Œ0.3.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-geojson-0.3.4-r42hc72bb7e_1.tar.bz2”h+Œ 508c7044921c766e623fc47166bf9faf”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-geojson-0.3.4-r42hc72bb7e_1.tar.bz2”h0Œ@ec401c1e6eaad04207d82fc11ad13f8b096975443ce0248dbcd6e82d7ed1d1c4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-jqr >=1.1.0”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-protolite >=1.8”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐþ)øõÃhEJÖ hFˆubh)”}”(hŒr-r.devices”h#Œ2.17.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-r.devices-2.17.1-r41hc72bb7e_0.tar.bz2”h+Œ b920d5686b3fd6ddc60cfbdebc7ec518”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r.devices-2.17.1-r41hc72bb7e_0.tar.bz2”h0Œ@bd645c5c6a89de98450d536ae7fdec0500e5fcdf333119a266b39325acc814c8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc >=0.1_2”Œr-r.methodss3 >=1.8.1”Œr-r.oo >=1.24.0”Œr-r.utils >=2.10.1”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØ¬¤xÂ~úhEJL hFˆubh)”}”(hŒr-loader.2nc”h#Œ0.1.2”h%Œr42ha770c72_1”h'Khhh(h)hŒ(r-loader.2nc-0.1.2-r42ha770c72_1.tar.bz2”h+Œ 6d4d84a3a0dc82a0438fb557d65ef645”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-loader.2nc-0.1.2-r42ha770c72_1.tar.bz2”h0Œ@a7876f97d5b27fc6b4620c96a42e15f52a07038fb4c62d9152acd48578f9f9f6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ncdf4”Œr-transformer”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯ð¦vÉhEJ‰I hFˆubh)”}”(hŒpango-devel-cos7-ppc64le”h#Œ1.42.4”h%Œha826a6f_103”h'Kghhh(h)hŒ4pango-devel-cos7-ppc64le-1.42.4-ha826a6f_103.tar.bz2”h+Œ 6619adc9cb927e0aead72b5ecd084fca”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-ppc64le-1.42.4-ha826a6f_103.tar.bz2”h0Œ@e29ab08eab0c8ef6b29b5d9584ed2a39db0884b15d495b5da49f6c32f1241acd”h2NhNh3(Œ(cairo-devel-cos7-ppc64le >=1.12.10 *_103”Œ-fontconfig-devel-cos7-ppc64le >=2.11.91 *_103”Œ)freetype-devel-cos7-ppc64le >=2.1.5 *_103”Œ'glib2-devel-cos7-ppc64le >=2.56.1 *_103”Œ!pango-cos7-ppc64le ==1.42.4 *_103”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2;}/hEJñˆ hFˆubh)”}”(hŒcockroachdb-python”h#Œ0.3.5”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ-cockroachdb-python-0.3.5-pyhd8ed1ab_2.tar.bz2”h+Œ a37b3f77c8dbac7f427d5d953fd4515a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/cockroachdb-python-0.3.5-pyhd8ed1ab_2.tar.bz2”h0Œ@8cec67096c61fff9d24234c7fe9b3fe88e0da49db6c8057cbd87a2364babf91e”h2NhNh3(Œpsycopg2”Œpython >=3.6”Œ
setuptools”Œ
sqlalchemy”t”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØ×îƒn‡+hEJ®Ð hFˆubh)”}”(hŒnetworkx”h#Œ2.8.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#networkx-2.8.7-pyhd8ed1ab_0.tar.bz2”h+Œ 1b74438a7270b1e2cbd3de9dba18ebb6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/networkx-2.8.7-pyhd8ed1ab_0.tar.bz2”h0Œ@eda4b0dba46c72770bc410c794f4da62509623a24c12b9805954828278915dc7”h2NhNh3Œpython >=3.8”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÎ3„f—hEJ‚ã hFˆubh)”}”(hŒr-climate4r.climdex”h#Œ0.2.2”h%Œr41ha770c72_1”h'Khhh(h)hŒ/r-climate4r.climdex-0.2.2-r41ha770c72_1.tar.bz2”h+Œ 760392dfe93ba0cbcbcc85271a84cba3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-climate4r.climdex-0.2.2-r41ha770c72_1.tar.bz2”h0Œ@c49b2053f0aaa6141440fb32fab9b25eab26f4e0f1fd7204a63b59b0d103544c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-climdex.pcic >=1.1_6”Œ
r-magrittr”Œr-pcict”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ¯V!XhEJ†R£ hFˆubh)”}”(hŒapispec-webframeworks”h#Œ0.5.2”h%Œpyhd8ed1ab_4”h'Khhh(h)hŒ0apispec-webframeworks-0.5.2-pyhd8ed1ab_4.tar.bz2”h+Œ 5350a4e4bc91c6796ad96192fe8122e6”h.Œ^https://conda.anaconda.org/conda-forge/noarch/apispec-webframeworks-0.5.2-pyhd8ed1ab_4.tar.bz2”h0Œ@a1be7219489092abb10dd9b5970a5c9c23b49c5efae5284a0cabbe9986cd29a7”h2NhNh3Œapispec >=2.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØbÃžGÎÙhEM2hFˆubh)”}”(hŒnsbm”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒnsbm-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3f95d753bab0d50b701163dffe503114”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/nsbm-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@85878792aab34a54d896648d0f612e7e3bed60238107351c26431b8de5121d99”h2NhNh3(Œcloudpickle”Œ
graph-tool”Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.6”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ…IvAë…hEM7~hFˆubh)”}”(hŒnss-softokn-cos7-ppc64le”h#Œ3.44.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4nss-softokn-cos7-ppc64le-3.44.0-hdf0574f_102.tar.bz2”h+Œ 4269e999db3bd6a27cf109d85d79dde8”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-ppc64le-3.44.0-hdf0574f_102.tar.bz2”h0Œ@f80e9436d5ab87135dc6aa5ab21b8def62247d2be156fa9c6677386088fdc2f9”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_102”Œ$nss-util-cos7-ppc64le >=3.44.0 *_102”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+žØA‰hEJñ# hFˆubh)”}”(hŒr-shinystan”h#Œ2.6.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-shinystan-2.6.0-r41hc72bb7e_1.tar.bz2”h+Œ 4af8bd3865bf23c236c8c6924eb6e427”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinystan-2.6.0-r41hc72bb7e_1.tar.bz2”h0Œ@763715e9b3678d4751e06b51899e9d020d77e436d38901a3cd4ce2c99b753d18”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bayesplot >=1.5.0”Œr-colourpicker”Œ
r-dt >=0.2”Œr-dygraphs >=1.1.1.2”Œr-ggplot2 >=2.1.1”Œr-gridextra”Œr-gtools”Œr-markdown >=0.7.4”Œ
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GPL (>= 3)”hBŒGPL3”hDGAØÔ4NhEJ9
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r-jsonlite”Œr-shiny”t”h9hºh@Œ
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Apache-2.0”hBŒAPACHE”hDGA×·;Aº^hEMXPhFˆubh)”}”(hŒlibxshmfence-devel-cos6-x86_64”h#Œ1.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7libxshmfence-devel-cos6-x86_64-1.2-h9b0a68f_105.tar.bz2”h+Œ 651585ca42cac2159c5bafc19d059011”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos6-x86_64-1.2-h9b0a68f_105.tar.bz2”h0Œ@d1559ebf951c03e3e9faf18826f0d2c507227004f5b1655e518328f70b72d2b6”h2NhNh3Œ$libxshmfence-cos6-x86_64 ==1.2 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@W¤†‡+hEMhFˆubh)”}”(hŒlibsm-devel-cos7-ppc64le”h#Œ1.2.2”h%Œha826a6f_103”h'Kghhh(h)hŒ3libsm-devel-cos7-ppc64le-1.2.2-ha826a6f_103.tar.bz2”h+Œ 9f606d4ca3414d72767b437c5627d531”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-ppc64le-1.2.2-ha826a6f_103.tar.bz2”h0Œ@6b11ed138f7cc7b0959517d1648d7a205becd3dc6f9cc7ca64f1235a8c70cf41”h2NhNh3Œ libsm-cos7-ppc64le ==1.2.2 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{™£×hEMm"hFˆubh)”}”(hŒr-discriminer”h#Œ0.1_29”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ.r-discriminer-0.1_29-r351h6115d3f_1001.tar.bz2”h+Œ ac733c22e5965e854fb4325a333a57d1”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-discriminer-0.1_29-r351h6115d3f_1001.tar.bz2”h0Œ@9dd086be580a30e63aaba64a20399e835cfc81e677b92c3493580b44db401a42”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖþBMBñªhEJŸ hFˆubh)”}”(hŒr-xlconnectjars”h#Œ0.2_15”h%Œr41hc72bb7e_4”h'Khhh(h)hŒ,r-xlconnectjars-0.2_15-r41hc72bb7e_4.tar.bz2”h+Œ de32479174f716e80c9fc4c8b0ddd031”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-xlconnectjars-0.2_15-r41hc72bb7e_4.tar.bz2”h0Œ@8b690b830434ad9d447c69de527001ae67e47af155707269243f61d0ce66a671”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑÅµCçmhEJÙ?Þ hFˆubh)”}”(hŒ
riskmatrix”h#Œ0.0.13”h%Œpy_0”h'K hhh(h)hŒriskmatrix-0.0.13-py_0.tar.bz2”h+Œ c7a45a2c98fe27230758409e0c72d04d”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/riskmatrix-0.0.13-py_0.tar.bz2”h0Œ@1451b6bd8610ad6da13798f106e090b48083d110615691728e6398367091336c”h2NhNh3Œpython >=3.7”…”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×…-ž¿²hEM*hFˆubh)”}”(hŒlibxi-cos7-ppc64le”h#Œ1.7.9”h%Œha826a6f_103”h'Kghhh(h)hŒ-libxi-cos7-ppc64le-1.7.9-ha826a6f_103.tar.bz2”h+Œ 081e765e0e1458db959ef51895d36fea”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-ppc64le-1.7.9-ha826a6f_103.tar.bz2”h0Œ@49546ced969e0b09a397e2d5f4ba6b7e8127526e118343cfd7cc6216d140b1b7”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1N7LhEMª–hFˆubh)”}”(hŒ
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r-jsonlite”Œ	r-pbapply”Œ
r-progress”Œr-readr”Œ	r-stringr”Œr-tibble”Œr-wikidataqueryservicer”Œr-wikipedir”t”h9hºh@ŒMIT”hBŒMIT”hDGAØd÷"[C–hEJòÒ hFˆubh)”}”(hŒ python-javapackages-cos7-ppc64le”h#Œ3.4.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ;python-javapackages-cos7-ppc64le-3.4.1-h9b0a68f_105.tar.bz2”h+Œ 024d22abd9a12a576e220468deff4e3c”h.Œihttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-ppc64le-3.4.1-h9b0a68f_105.tar.bz2”h0Œ@e7823eaabdbfd688fa6f28078590a1f18572ec21762f0b069699499209eb00e3”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@‡‹"^5hEMR3hFˆubh)”}”(hŒr-shinymanager”h#Œ1.0.410”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-shinymanager-1.0.410-r41hc72bb7e_1.tar.bz2”h+Œ 6620bd316df1943014b68256539f8ed1”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinymanager-1.0.410-r41hc72bb7e_1.tar.bz2”h0Œ@1c2030462b7554d794f26935247ecc05c7c0b81b21932b66f425e930b28cb84b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-billboarder”Œr-dbi”Œ
r-dt >=0.5”Œr-htmltools”Œ	r-openssl”Œ	r-r.utils”Œr-r6”Œ	r-rsqlite”Œr-scrypt”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ\hEJi  hFˆubh)”}”(hŒ
sos-python”h#Œ0.18.4”h%Œpy_0”h'K hhh(h)hŒsos-python-0.18.4-py_0.tar.bz2”h+Œ 5ae0cce3ad06bd6653c7b45de23f80f6”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/sos-python-0.18.4-py_0.tar.bz2”h0Œ@2b205866bdf1f6d35910b5c6bcddcfd745a2dac5a29d047da666040d3acf0c63”h2NhNh3Œpython >=3.6”Œsos >=0.19.8”Œsos-notebook >=0.19.4”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×q3¸hEMG%hFˆubh)”}”(hŒsysroot_linux-64”h#Œ2.17”h%Œh77966d4_10”h'K
hhh(h)hŒ)sysroot_linux-64-2.17-h77966d4_10.tar.bz2”h+Œ ee9fa1e6c2b7650fc93f748ffa687de7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.17-h77966d4_10.tar.bz2”h0Œ@fe9c058e1bf6fb1d611df144948e76dad21f65096109cce8f44d8b8b6c6b4881”h2NhNh3Œ(_sysroot_linux-64_curr_repodata_hack 3.*”Œ*kernel-headers_linux-64 3.10.0 h77966d4_10”†”jy Œsysroot_linux-64_2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGA×Éd‘šñªhEJpëhFˆubh)”}”(hŒat-spi-devel-cos7-ppc64le”h#Œ1.32.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5at-spi-devel-cos7-ppc64le-1.32.0-h9d98e8f_104.tar.bz2”h+Œ 46ad3966639dfb103b0e491505fed99c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos7-ppc64le-1.32.0-h9d98e8f_104.tar.bz2”h0Œ@9fcb84337a02c58ec340a05cf81cad0fbbdca792e7c957dfb2051a777b528f68”h2NhNh3(Œ"at-spi-cos7-ppc64le ==1.32.0 *_104”Œ%atk-devel-cos7-ppc64le >=1.29.2 *_104”Œ&gtk2-devel-cos7-ppc64le >=2.10.0 *_104”Œ'gtk2-devel-cos7-ppc64le >=2.24.31 *_104”Œ*libbonobo-devel-cos7-ppc64le >=2.4.0 *_104”Œ'orbit2-devel-cos7-ppc64le >=2.6.0 *_104”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É~H@£×hEJUz hFˆubh)”}”(hŒpyjwt”h#Œ2.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pyjwt-2.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 56d08bbebf5b3719ca2b1688fcfd98a4”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyjwt-2.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@177ce344fc9668cc1e7daa637ef375f6765e60fbb52e83a5744a0513751200aa”h2NhNh3Œpython >=3.6”…”h6Œcryptography >=3.3.1”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÔ3ÜuhEM­ShFˆubh)”}”(hŒhypersolver”h#Œ0.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&hypersolver-0.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ 81a2e886fc09e64c7fea8602231a2732”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/hypersolver-0.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@36b7c858e3c854d20f513d42480f7e83e34941ab15bfdf250eb24e7c63ce9259”h2NhNh3Œnumpy”Œpython >=3.7”Œscipy”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÄ-
‡;dhEMþ7hFˆubh)”}”(hŒnss-softokn-freebl-cos7-ppc64le”h#Œ3.44.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ<nss-softokn-freebl-cos7-ppc64le-3.44.0-h9d98e8f_1104.tar.bz2”h+Œ fcd52bf1c453cd1ca0c32233d3b025f6”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-ppc64le-3.44.0-h9d98e8f_1104.tar.bz2”h0Œ@967448f52f8e07b35ea5573da3e2ae9a6551a16afc028fcf5d1f161989f387d1”h2NhNh3Œ!nspr-cos7-ppc64le >=4.21.0 *_1104”Œ%nss-util-cos7-ppc64le >=3.44.0 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Éêu`BhEJ/û hFˆubh)”}”(hŒpython-cufflinks”h#Œ0.17.3”h%Œpy_0”h'K hhh(h)hŒ$python-cufflinks-0.17.3-py_0.tar.bz2”h+Œ 91df52fcba6e1e156319aa290110179a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/python-cufflinks-0.17.3-py_0.tar.bz2”h0Œ@5b8f45972aceea80fc0fca3aa892e9ed0e33ecb71c31fb794dd1c4c50e683913”h2NhNh3(Œchart-studio >=1.0.0”Œcolorlover >=0.2.1”Œipython >=5.3.0”Œipywidgets >=7.0.0”Œnumpy >=1.9.2”Œpandas >=0.19.2”Œplotly >=4.1.1”Œpython”Œsix >=1.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×˜".FùÛhEM¤ëhFˆubh)”}”(hŒlibxrandr-devel-cos7-x86_64”h#Œ1.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libxrandr-devel-cos7-x86_64-1.5.1-h9d98e8f_1104.tar.bz2”h+Œ a63f957a8816aca855d2d5b540fc52f4”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos7-x86_64-1.5.1-h9d98e8f_1104.tar.bz2”h0Œ@4109a1ad3ade1176c5d4bbdb6f427dda0a8e93abeaa3ce83cd8786d0a21ff5d6”h2NhNh3Œ$libxrandr-cos7-x86_64 ==1.5.1 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉÛÜ1hEM=hFˆubh)”}”(hŒr-gwidgets2”h#Œ1.0_9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-gwidgets2-1.0_9-r42hc72bb7e_1.tar.bz2”h+Œ 286e31b67ab235b8b8ccbe8e9b7f7b55”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets2-1.0_9-r42hc72bb7e_1.tar.bz2”h0Œ@b241d01769b4009cb2528d576391a56b7d9e2f6725d4f1728596c18b4901ba29”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐþ¢MÓhEJ ³ hFˆubh)”}”(hŒasyncio-helpers”h#Œ0.4.2”h%Œpy_0”h'K hhh(h)hŒ"asyncio-helpers-0.4.2-py_0.tar.bz2”h+Œ fb3fefee6ad579a0956163a2257231c4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/asyncio-helpers-0.4.2-py_0.tar.bz2”h0Œ@cc8de228b7a0eea46f6bea7a5f3c385f6ca0e06f19bf706795246b660ef2ba3d”h2NhNh3Œlogging-helpers”Œpython >=2.7,<3.7”Œtrollius”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×HÚ…G hEM³#hFˆubh)”}”(hŒ
defusedxml”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 961b3a227b437d82ad7054484cfa71b2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9717a059677553562a8f38ff07f3b9f61727bd614f505658b0a5ecbcf8df89be”h2NhNh3Œpython >=3.6”…”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAØŸa0r°hEMþ]hFˆubh)”}”(hŒr-ggedit”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ggedit-0.3.1-r41hc72bb7e_0.tar.bz2”h+Œ e37881fc301725d6e8b42120734c2754”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggedit-0.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@bfc336a2aaf2891d76be81056578929b9bab2b2c388f86c0e890b5658dcd1819”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colourpicker >=0.2”Œr-dplyr >=0.7.5”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-miniui”Œr-plyr”Œr-purrr”Œr-rlang”Œr-rstudioapi”Œr-scales”Œr-shiny”Œ
r-shinyace”Œ	r-shinybs”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+À¼g|îhEJeÅ hFˆubh)”}”(hŒr-diffr”h#Œ0.1”h%Œr40_1003”h'Mëhhh(h)hŒr-diffr-0.1-r40_1003.tar.bz2”h+Œ 085bf60134d7d02cb5347fea0e58abd7”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-diffr-0.1-r40_1003.tar.bz2”h0Œ@ea4ad65e52e4486217e10d4c497dd3a08b90dfed72e41148a3bd0b4abf3893c0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-htmlwidgets”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¬ãâOßhEJÚP hFˆubh)”}”(hŒelpigraph-python”h#Œ0.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+elpigraph-python-0.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ bd369bd6670938bf70c96e9962e06393”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/elpigraph-python-0.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@649d6d60bb188bcf4790169c3e42f10eff9a04f19d69fd67b63c99bee4ad9825”h2NhNh3(Œmatplotlib-base”Œnumba >=0.49.1”Œnumpy >=1.16.2”Œpandas >=0.23.4”Œpython”Œpython-igraph >=0.7.1”Œscikit-learn >=0.21.3”Œscipy >=1.2.0”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGA×Éf,ÐQìhEJT hFˆubh)”}”(hŒr-anom”h#Œ0.5”h%Œr40_1002”h'Mêhhh(h)hŒr-anom-0.5-r40_1002.tar.bz2”h+Œ 160426ffb0f3e2a78d266ad1c1b27224”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-anom-0.5-r40_1002.tar.bz2”h0Œ@fd3424eae88aec33a7d6e812e77d3d275a3c5c4af77009b9c31a5fbb0549ec79”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-mcpan”Œ
r-multcomp”Œ
r-nparcomp”Œ	r-simcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­'©&éhEJ÷4 hFˆubh)”}”(hŒ	r-rarpack”h#Œ0.11_0”h%Œ	r351_1001”h'Méhhh(h)hŒ"r-rarpack-0.11_0-r351_1001.tar.bz2”h+Œ 301a7d7be84c16912b989c8096a36b6e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rarpack-0.11_0-r351_1001.tar.bz2”h0Œ@6f4fad80207df4e0083c9aae6dff59ce3d4dda3d87bb0beb1c683eddc3ec6ba9”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ
r-rspectra”†”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAÖüœydZhEMéƒhFˆubh)”}”(hŒr-prismatic”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-prismatic-1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 9640f2fad1a756f0ca1792acc10fd250”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-prismatic-1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@3b4ec43fdca9c994ce07619e5319bfb3824af50116a3092e14fc623e451c4fc4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-farver >=2.0.1”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÛˆõÃhEJ†× hFˆubh)”}”(hŒr-maxnet”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-maxnet-0.1.4-r41hc72bb7e_0.tar.bz2”h+Œ a8bd594e439db3024073875983e9ece9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-maxnet-0.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@7a5b017f93bd81b1d6912f865008dcfa5f55e8ea564e8056b518feb22f83d4bc”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-glmnet”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ:’JhEJ"" hFˆubh)”}”(hŒcpp_comment_format”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-cpp_comment_format-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ f77f4a5d14b8a83533a03b3af5267c34”h.Œ[https://conda.anaconda.org/conda-forge/noarch/cpp_comment_format-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c67bd54ead198c8e651c5dc6861fb35ce65fe71cd0963d990efdc73f1a50ba0d”h2NhNh3Œ
python >=3”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÔ©¹3"ÑhEMa,hFˆubh)”}”(hŒcairosvg”h#Œ2.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#cairosvg-2.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 92f5d9face5e328bea985ad5b9f03471”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cairosvg-2.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6d2bb1a8ca85de1c8c7978699d5a1a941c00d5540351ad448b98e3df2b66fc6d”h2NhNh3(Œ	cairocffi”Œ
cssselect2”Œ
defusedxml”Œpillow”Œpython >=3.5”Œtinycss2”t”h9h?h@ŒLGPL-3.0”hBŒLGPL”hDGAØÏ¸RhEM½¡hFˆubh)”}”(hŒlibibcm-cos6-x86_64”h#Œ1.0.5”h%Œha826a6f_103”h'Kghhh(h)hŒ.libibcm-cos6-x86_64-1.0.5-ha826a6f_103.tar.bz2”h+Œ f626cd7b40a80a57aa5d1210adcebfcf”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libibcm-cos6-x86_64-1.0.5-ha826a6f_103.tar.bz2”h0Œ@084b985b5c85274afd51f626bcea0d29074c3e7cb356200df3014e234883dd3d”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Æ/y¼ýôhEMýQhFˆubh)”}”(hŒr-quantpsyc”h#Œ1.6”h%Œr41h785f33e_1”h'Khhh(h)hŒ%r-quantpsyc-1.6-r41h785f33e_1.tar.bz2”h+Œ cc8569dd7616aabc5c82f7a5a4c1a1d5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-quantpsyc-1.6-r41h785f33e_1.tar.bz2”h0Œ@eabea544ae6664bb41e9c312d233f11142361f669485a5d82c57e7ccef92fc33”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-dplyr”Œr-mass”Œr-purrr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒ/Ð?\)hEJ† hFˆubh)”}”(hŒ
r-settings”h#Œ0.2.7”h%Œr41h785f33e_0”h'K hhh(h)hŒ&r-settings-0.2.7-r41h785f33e_0.tar.bz2”h+Œ b695038ee0efd4673c67aa84da6a00bd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-settings-0.2.7-r41h785f33e_0.tar.bz2”h0Œ@ad9d3337e0282a0f710e3891514e9f03bca94c8c2f853fdcf5f7920acc8ad941”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL”hDGAØ*þxÐåhEJL) hFˆubh)”}”(hŒr-param6”h#Œ0.2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-param6-0.2.4-r41hc72bb7e_0.tar.bz2”h+Œ 78b9bcf901abb8f4d0f9b495b41afdef”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-param6-0.2.4-r41hc72bb7e_0.tar.bz2”h0Œ@41a7d30a7a65ac558962142fa10edd199bf3b63e94e41fbd0c2d48e7757e7663”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œr-dictionar6 >=0.1.2”Œr-r6”Œr-set6 >=0.2.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ‚ì5˜A‰hEJ— hFˆubh)”}”(hŒr-xtable”h#Œ1.8_4”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ$r-xtable-1.8_4-r42hc72bb7e_4.tar.bz2”h+Œ 28a6bce0b87124a67a28d99568432c78”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-xtable-1.8_4-r42hc72bb7e_4.tar.bz2”h0Œ@98c7013e84126d9db48823fe98e7f5a85423ebdaccb3e9fe82ede41e95d864dd”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÐ.eˆÔþhEJWò
 hFˆubh)”}”(hŒmarshmallow-union”h#Œ0.1.15.post1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3marshmallow-union-0.1.15.post1-pyhd8ed1ab_0.tar.bz2”h+Œ 3834324c0f2c7b3ec6f33c324165bd64”h.Œahttps://conda.anaconda.org/conda-forge/noarch/marshmallow-union-0.1.15.post1-pyhd8ed1ab_0.tar.bz2”h0Œ@4910a2d4bbe0d1484b45a1b739256d81d1bb06de0dd7051c0cd8683cf54dc878”h2NhNh3Œmarshmallow >=3.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ0šE‘hhEMïhFˆubh)”}”(hŒlibxext-cos7-ppc64le”h#Œ1.3.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libxext-cos7-ppc64le-1.3.3-h9d98e8f_104.tar.bz2”h+Œ d5693d5fe14a0d12cadb547066cd6c74”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-ppc64le-1.3.3-h9d98e8f_104.tar.bz2”h0Œ@60de0aa3e956b239ca26be3a911e5ff3fedd790502cd70752abd67184f912d68”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{þ†{hEM·›hFˆubh)”}”(hŒlibxft-cos7-x86_64”h#Œ2.3.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.libxft-cos7-x86_64-2.3.2-hdf0574f_1102.tar.bz2”h+Œ bab39641c9c65d8c03332b556af67d81”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-x86_64-2.3.2-hdf0574f_1102.tar.bz2”h0Œ@15f1d979232499b0ea23462b258cf5089af009fe1af13e2315c576bd23dc5572”h2NhNh3Œ#fontconfig-cos7-x86_64 >=2.2 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµþÈ´hEM;ähFˆubh)”}”(hŒr-knitrbootstrap”h#Œ1.0.2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ,r-knitrbootstrap-1.0.2-r42hc72bb7e_3.tar.bz2”h+Œ 156690469a7611bac360ffc2ee6dbb11”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitrbootstrap-1.0.2-r42hc72bb7e_3.tar.bz2”h0Œ@bfba80d2bbfce81f0a250fff06d985072b853aa567f39d5168d5910f2e31f6ee”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-knitr >=1.5.25”Œ
r-markdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ`>´Ý/hEJ[? hFˆubh)”}”(hŒpynsid”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pynsid-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3483a62815d4fb048208e53a49c611b3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pynsid-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@7f2a2bd61224d38adbd7a990845edf2662aa4a8de362b0758beb53eb19d436de”h2NhNh3(Œcytoolz”Œdask-core >=0.10”Œh5py >=2.6.0”Œnumpy >=1.10”Œ
python >=3”Œsidpy >=0.0.2”Œsix”Œtoolz”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‘q®¸RhEMY<hFˆubh)”}”(hŒr-bookdownplus”h#Œ1.5.8”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ*r-bookdownplus-1.5.8-r41hc72bb7e_2.tar.bz2”h+Œ 88c5a40d29edf1a45338133f6948cff6”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bookdownplus-1.5.8-r41hc72bb7e_2.tar.bz2”h0Œ@27d5e1a443f33e2c7d17b539566940c3fc5278840ae8c0ff0c69e450c50c3b0b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bookdown >=0.3.17”Œr-knitr”Œr-magick”Œ
r-xaringan”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ¢v6{hEJª hFˆubh)”}”(hŒrb-mini_portile2”h#Œ2.4.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ)rb-mini_portile2-2.4.0-hc42de5b_0.tar.bz2”h+Œ 7a5c2ac99eb8d2aa8762f1bcb709e3d1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/rb-mini_portile2-2.4.0-hc42de5b_0.tar.bz2”h0Œ@ebdb08894b77f37ae46923a9e4a0606f7e9278f98d27daae9388d046d0aca034”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Z‰@^E¢hEMÌhFˆubh)”}”(hŒ"napari-elementary-numpy-operations”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ=napari-elementary-numpy-operations-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 58243db0cfb79c6b93016c04cba21b9e”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/napari-elementary-numpy-operations-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@ea5f8e759c1da0353d0a504ec8cb42f0244629b48df16ca7346701ee7aa7f9ce”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”Œqtpy”Œsuperqt”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØBVÝp¤hEMG'hFˆubh)”}”(hŒcollatex-python”h#Œ2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(collatex-python-2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 67c7cc882f9a5ef79373fd27e6e06b0c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/collatex-python-2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f0e88a5feffb7b38dbc025bd155bd686f6501be6e28309dbb8c9060274d4291e”h2NhNh3(Œnetworkx”Œprettytable”Œpython >=3.7”Œpython-levenshtein”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÍl&üzáhEM¸ÿhFˆubh)”}”(hŒr-tester”h#Œ0.1.7”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ'r-tester-0.1.7-r40h6115d3f_1002.tar.bz2”h+Œ d5602d9ca629cc31cb474a69e1d4bf86”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tester-0.1.7-r40h6115d3f_1002.tar.bz2”h0Œ@e95542692a62de49560ecf2135ba19e52fbbc8185832ca9d162880f345f73b11”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«ðæ{hEJ¶“ hFˆubh)”}”(hŒ
colicoords”h#Œ0.1.5”h%Œpy_1”h'Khhh(h)hŒcolicoords-0.1.5-py_1.tar.bz2”h+Œ d9a54cff3d40f0feb90dae87c732919f”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/colicoords-0.1.5-py_1.tar.bz2”h0Œ@b2c91ff05ada196c9cdc70c52f7a258717e5f3f2955b4a18f63f5c1aea654f8e”h2NhNh3(Œh5py”Œipython”Œ
ipywidgets”Œmahotas”Œmatplotlib-base >=2.2.0”Œmultiprocess”Œnumpy”Œpython >=3.6”Œscipy”Œseaborn”Œsymfit >=0.4.6”Œtifffile”Œtqdm >=4.27.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯û:MhEMˆøhFˆubh)”}”(hŒr-fateid”h#Œ0.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-fateid-0.2.2-r42hc72bb7e_1.tar.bz2”h+Œ 3be99b963116ce8d1bf40810fd43f6f9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-fateid-0.2.2-r42hc72bb7e_1.tar.bz2”h0Œ@a3dca96e98bb392da563b1cd33f89da017631e8c46147fa395819b27cff3f24b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-lle”Œr-locfit”Œr-matrixstats”Œ
r-pheatmap”Œr-princurve”Œr-randomforest”Œr-rcolorbrewer”Œr-rtsne”Œr-som”Œr-umap”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ°æ²-hEJÌ¾. hFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-ppc64le”h#Œ1.2.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ;libxscrnsaver-devel-cos7-ppc64le-1.2.2-h9d98e8f_104.tar.bz2”h+Œ d190c6c9d2e27940b9da51b8afec3f80”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-ppc64le-1.2.2-h9d98e8f_104.tar.bz2”h0Œ@4a84b574e335cb2250f5935a7b44e878a8462c74f3c2fc0cd711844f642c1e7a”h2NhNh3Œ(libxscrnsaver-cos7-ppc64le ==1.2.2 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzA©ühEMª5hFˆubh)”}”(hŒr-fontbitstreamvera”h#Œ0.1.1”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ2r-fontbitstreamvera-0.1.1-r36h6115d3f_1003.tar.bz2”h+Œ 20894fc3bacfb588252c6d9f0c887f03”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-fontbitstreamvera-0.1.1-r36h6115d3f_1003.tar.bz2”h0Œ@c388ec95f7e8f7ae704ef8ee7c66234a33f1fa28a74be58afead4ae6c77844c4”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBitstream Vera Fonts”hBŒOTHER”hDGA×«ê¢ÌÍhEJKf	 hFˆubh)”}”(hŒr-tuneranger”h#Œ0.5”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-tuneranger-0.5-r41hc72bb7e_2.tar.bz2”h+Œ 8468270afe0f873abd6c1d313e19dbd1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tuneranger-0.5-r41hc72bb7e_2.tar.bz2”h0Œ@f256e2af7d6ee7855565a0a671c9359bae1fa9567d81e6077586f5dce2e3b6e3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbmisc >=1.11”Œr-dicekriging >=1.5.5”Œr-lhs >=0.14”Œr-lubridate >=1.6.0”Œr-mlr >=2.11”Œr-mlrmbo >=1.1.1”Œr-paramhelpers >=1.10”Œr-ranger >=0.8.0”Œr-smoof >=1.5.1”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒùù^VhEJ¾A hFˆubh)”}”(hŒr-ppcor”h#Œ1.1”h%Œr40_1003”h'Mëhhh(h)hŒr-ppcor-1.1-r40_1003.tar.bz2”h+Œ 26ee0b59b4baf3d29c09a791ed68b186”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-ppcor-1.1-r40_1003.tar.bz2”h0Œ@e5579c973b5badaf713e93aada96aa1e689a574e354faa4ef0d0e546745703b9”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬lëÐ´9hEMöŸhFˆubh)”}”(hŒpfzy”h#Œ0.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpfzy-0.3.4-pyhd8ed1ab_0.tar.bz2”h+Œ 9972bf118f9b374ae137662bb20a3671”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pfzy-0.3.4-pyhd8ed1ab_0.tar.bz2”h0Œ@44181447fa06d8c0bedc742854a99c5b8320bb5daa093fb8920e715fc0920338”h2NhNh3Œpython >=3.7,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÏûX ÅhEMe3hFˆubh)”}”(hŒrb-minitest”h#Œ5.12.2”h%Œ
hc42de5b_0”h'K hhh(h)hŒ%rb-minitest-5.12.2-hc42de5b_0.tar.bz2”h+Œ b20155a0329067451e9f568e174ceb47”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/rb-minitest-5.12.2-hc42de5b_0.tar.bz2”h0Œ@b3f51856f06d255ea2e3d12ea90fbf3c15182bf08ca2e31de2453d7616fe890b”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×d¬”‹DhEJ$Y hFˆubh)”}”(hŒr-daff”h#Œ0.3.5”h%Œr36h6115d3f_2”h'Khhh(h)hŒ"r-daff-0.3.5-r36h6115d3f_2.tar.bz2”h+Œ 4d1e888cae97b65741223190236163de”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-daff-0.3.5-r36h6115d3f_2.tar.bz2”h0Œ@db596993644b100780b290e6f3758705d76df89d302c5c66fb596b29ecf3a1f0”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬æOT¬hEJu( hFˆubh)”}”(hŒharfbuzz-cos7-x86_64”h#Œ1.7.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0harfbuzz-cos7-x86_64-1.7.5-h9d98e8f_1104.tar.bz2”h+Œ e83a71ab6363fd1e068da114cd4e4e3e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-x86_64-1.7.5-h9d98e8f_1104.tar.bz2”h0Œ@ab893d928a84308126d94fff8b3bea909f0dacaec65eea642d8eae7d320e7b89”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy‰²-hEJàÉ hFˆubh)”}”(hŒ	rb-docopt”h#Œ0.5.0”h%Œ
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flask <2.0”Œ
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setuptools”Œtoml”Œtyping-extensions”t”h6Œ
urllib3 <2”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ‘ÃÄ·¾whEJƒp hFˆubh)”}”(hŒlibsoup-cos7-aarch64”h#Œ2.62.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libsoup-cos7-aarch64-2.62.2-h9d98e8f_1104.tar.bz2”h+Œ 1245024cdb0b9a6b9954df444baf82e6”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-aarch64-2.62.2-h9d98e8f_1104.tar.bz2”h0Œ@17d9b36b9b523b0368c3b555c90e651230bc80cbe67ac7cf82c9c3d1783ca807”h2NhNh3Œ,glib-networking-cos7-aarch64 >=2.38.0 *_1104”Œ"glib2-cos7-aarch64 >=2.38.0 *_1104”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É~þŒzáhEJE hFˆubh)”}”(hŒr-grimport2”h#Œ0.2_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-grimport2-0.2_0-r41hc72bb7e_1.tar.bz2”h+Œ cf5f1b8f2e632532295de997c2863fe8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-grimport2-0.2_0-r41hc72bb7e_1.tar.bz2”h0Œ@16a6136c842e9593d1468ea882aaab09330011da19f72bd9f49081aaa6610e42”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-jpeg”Œr-png”Œr-xml”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ÍUÂhEJ‹Ý hFˆubh)”}”(hŒflask”h#Œ1.1.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ flask-1.1.2-pyh9f0ad1d_0.tar.bz2”h+Œ 721f9fc33930d8deec05a746dd1be3b8”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/flask-1.1.2-pyh9f0ad1d_0.tar.bz2”h0Œ@1a245759230be15a053b9ebb0ef579f961b2c6a5d8cf4f4aee2a7e56c8b870a8”h2NhNh3(Œclick >=5.1”Œitsdangerous >=0.24”Œjinja2 >=2.10.1”Œpython”Œwerkzeug >=0.15”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×¡îŸ¥ó¶hEJX hFˆubh)”}”(hŒdatetime-distance”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,datetime-distance-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ aaad9f91a4188c7ba7ff2c200a1eb55d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/datetime-distance-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@20ea57c1a4df5cf32e8371d52deea225856cd6eb53031abc451390348cae4ab3”h2NhNh3Œfuture”Œpython >=3.6”Œpython-dateutil >=2.6.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØkr±º^hEMhFˆubh)”}”(hŒ	dbus-next”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$dbus-next-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2bf4de25e0904f07f6403587c9847569”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dbus-next-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@39b6a923133d2e2e745296af875ae17a0d088a9bfa54c0204771ca5d11a3809a”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¼E"l‹hEM4®hFˆubh)”}”(hŒr-rgooglemaps”h#Œ1.4.5.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-rgooglemaps-1.4.5.3-r41hc72bb7e_1.tar.bz2”h+Œ 75f34ba3dcd3af439003392fe8f1b90a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rgooglemaps-1.4.5.3-r41hc72bb7e_1.tar.bz2”h0Œ@eec39cfa690782374f97a6cfc87e1ff72f8c8d3ba63d2d54da2e0fd2b9478155”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-png”Œr-sp”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*ñ›åOßhEJE hFˆubh)”}”(hŒr-hh”h#Œ3.1_49”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-hh-3.1_49-r40hc72bb7e_0.tar.bz2”h+Œ 63dff14eeefdc57632e62619f282c671”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hh-3.1_49-r40hc72bb7e_0.tar.bz2”h0Œ@7e960c80592a6b68086842968b19596ab0bf518553a7920740d4f04824c7d26a”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-colorspace”Œr-gridextra >=2.0.0”Œr-hmisc”Œ	r-lattice”Œr-latticeextra”Œr-leaps”Œ
r-multcomp”Œr-rcolorbrewer”Œ
r-reshape2”Œr-rmpfr >=0.6.0”Œr-shiny >=0.13.1”Œr-vcd”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ¼²Vol‹hEJl* hFˆubh)”}”(hŒ libxcomposite-devel-cos7-aarch64”h#Œ0.4.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<libxcomposite-devel-cos7-aarch64-0.4.4-h9b0a68f_1105.tar.bz2”h+Œ 7615f7e2b9dded7cc08d3112b707aa8e”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos7-aarch64-0.4.4-h9b0a68f_1105.tar.bz2”h0Œ@240072d5dbbb1d7c508face107d661437736c4b12f3c2abe94dda32c492af1cb”h2NhNh3Œ)libxcomposite-cos7-aarch64 ==0.4.4 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œ5hEM¾.hFˆubh)”}”(hŒr-colorramps”h#Œ2.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-colorramps-2.3.1-r41hc72bb7e_0.tar.bz2”h+Œ e17e8b5710747fa2e9064fa7409191aa”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-colorramps-2.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@bb0dc069049021ab5f08dc85bf0a660fbfcd65f60ab216645124ac29a0098dad”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØœ‡{C¥ãhEMV³hFˆubh)”}”(hŒinfinity”h#Œ1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!infinity-1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 18b1fd34f0fecda60c9f081d5d38764b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/infinity-1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@2eb6dc2b4f7b4aef1000d8c799a854df03a8a070c660088fc72e9481c0a07a6f”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ,ç$È ÅhEMBhFˆubh)”}”(hŒlibnl-devel-cos7-ppc64le”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ4libnl-devel-cos7-ppc64le-1.1.4-h1795305_1101.tar.bz2”h+Œ 92db3a228c1f5817ca47393c4bdc9e29”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-ppc64le-1.1.4-h1795305_1101.tar.bz2”h0Œ@38fd707fa55f35b1ae93e6c83c2a5b85af2af6b0692dd0cd9c513a68c13e4497”h2NhNh3Œlibnl-cos7-ppc64le 1.1.4”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÄÇ•`BhEJ‘ñ	 hFˆubh)”}”(hŒlibuuid-devel-cos7-ppc64le”h#Œ2.23.2”h%Œha826a6f_103”h'Kghhh(h)hŒ6libuuid-devel-cos7-ppc64le-2.23.2-ha826a6f_103.tar.bz2”h+Œ 118d5aa91f794a0db228164a52431930”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-ppc64le-2.23.2-ha826a6f_103.tar.bz2”h0Œ@c2854ca4394ed26360e75ac000bfe2185b30d264f1b340a6ba4ea8818e6a82e8”h2NhNh3Œ#libuuid-cos7-ppc64le ==2.23.2 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ{}t‹DhEM;XhFˆubh)”}”(hŒ
r-inctools”h#Œ1.0.15”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-inctools-1.0.15-r42hc72bb7e_2.tar.bz2”h+Œ 50dc5c5a4bca15eca0ad23c29fc545b6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-inctools-1.0.15-r42hc72bb7e_2.tar.bz2”h0Œ@bcff9e2c4337780e3f0df201f5227e552aa3af7cc157819139c630d9db4f553e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-binom”Œ
r-cubature”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glm2”Œ
r-magrittr”Œr-plyr”Œr-pracma”Œr-rlang”Œr-tibble”Œ
r-tmvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒaG<IºhEJ‡ hFˆubh)”}”(hŒfontconfig-cos6-x86_64”h#Œ2.8.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ2fontconfig-cos6-x86_64-2.8.0-ha826a6f_1103.tar.bz2”h+Œ 9dc18649a783cfc5ea2382afb740f69f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/fontconfig-cos6-x86_64-2.8.0-ha826a6f_1103.tar.bz2”h0Œ@08ba41cb640ecd662c192eb59f0baa318b97992edd5d441372e9727fee08ddba”h2NhNh3Œ#freetype-cos6-x86_64 >=2.1.4 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2[mó¶hEJùÐ hFˆubh)”}”(hŒcoursera-dl”h#Œ0.11.4”h%Œpy_0”h'K hhh(h)hŒcoursera-dl-0.11.4-py_0.tar.bz2”h+Œ 66f34be692bf99c95e955f2b0f84fe72”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/coursera-dl-0.11.4-py_0.tar.bz2”h0Œ@bab310523aff09e9418b7ab24836b599c29c60f43052cbf3bf876a87256cf48c”h2NhNh3(Œattrs 18.1.0”Œbeautifulsoup4 >=4.1.3”Œconfigargparse >=0.12.0”Œkeyring >=4.0”Œpyasn1 >=0.1.7”Œpython”Œrequests >=2.10.0”Œsix >=1.5.0”Œurllib3 >=1.10”t”h9h?h@ŒLGPL-3.0”hBŒLGPL”hDGA×uOœ¾vÉhEMZæhFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libdrm-devel-cos7-ppc64le-2.4.97-ha826a6f_1103.tar.bz2”h+Œ 7c3757be20565d557dc06c509c80262f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-ppc64le-2.4.97-ha826a6f_1103.tar.bz2”h0Œ@d43920f9fbca7178a4638034c822a0ebc5a5fa66b6ba980ce2833005ee528490”h2NhNh3Œ+kernel-headers-cos7-ppc64le >=2.6.27 *_1103”Œ#libdrm-cos7-ppc64le ==2.4.97 *_1103”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1ËçmhEJ3õ hFˆubh)”}”(hŒ
colorclass”h#Œ2.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%colorclass-2.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ f6fa77b4e9e0225b42df2548422606c5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/colorclass-2.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@cf7501a252c0731f15f0f971ed6b10185ef162cd6f4c83c1a5b31475ca516681”h2NhNh3Œpython >=2.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØlšîûçhEMæPhFˆubh)”}”(hŒpciutils-libs-cos6-x86_64”h#Œ3.1.10”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5pciutils-libs-cos6-x86_64-3.1.10-h9d98e8f_104.tar.bz2”h+Œ c8a2c982469037591159a50b4639187f”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos6-x86_64-3.1.10-h9d98e8f_104.tar.bz2”h0Œ@73548b4d00e76740c56e0a0f38ac5bda5ef929d3f4b8ddfbf821a4cde3e1bdb7”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×ÉyÊgKÇhEM^ˆhFˆubh)”}”(hŒpytest-cloud”h#Œ5.0.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'pytest-cloud-5.0.3-pyh9f0ad1d_0.tar.bz2”h+Œ f55adde4a1381cf83e779a9f96499a64”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pytest-cloud-5.0.3-pyh9f0ad1d_0.tar.bz2”h0Œ@45b322be884a3088397fcc5f0e53e077ca183abea0e1fa3f2bfcec09309f7cd4”h2NhNh3(Œpsutil”Œpytest >=3.6.1”Œpytest-xdist >=1.26.0”Œpython >=3.4”Œ
setuptools”Œsix”Œtimeout-decorator >=0.3.2”Œ
virtualenv”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ßX—j-hEMm9hFˆubh)”}”(hŒrb-jekyll-theme-leap-day”h#Œ0.1.1”h%Œ
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r-nparcomp”h#Œ3.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ$r-nparcomp-3.0-r40hc72bb7e_2.tar.bz2”h+Œ fca659f48721dbd51bb15ac9a3f5532f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nparcomp-3.0-r40hc72bb7e_2.tar.bz2”h0Œ@94c32d115c55fd53eb2d3a4f16a4cc51d7ff73279e8be85a0539227d187ba131”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-multcomp”Œ	r-mvtnorm”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+¤hEJ¦Ë hFˆubh)”}”(hŒpymedphys_gamma”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒ#pymedphys_gamma-0.11.0-py_0.tar.bz2”h+Œ 51b38b15c6c8a3090ce8e913ea95ce60”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pymedphys_gamma-0.11.0-py_0.tar.bz2”h0Œ@41ac021125537ee7302329836a3ae09789fb387d15655d2553e4b4f04a469a94”h2NhNh3Œnumpy >=1.12”Œpymedphys_dicom 0.11.0 py_0”Œpython >=3.7”‡”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×]èÚPÄœhEMºuhFˆubh)”}”(hŒcenso”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ censo-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 15dd198d6349c5acceaea57c6a3e8e97”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/censo-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d16f8975bae28f2191c1c074abd1549e54721e3058b74b431086e96554979f8d”h2NhNh3Œpython >=3.6”Œxtb >=6.4.0”†”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØçæjhEJ› hFˆubh)”}”(hŒlazyasd”h#Œ0.1.4”h%Œpy_1”h'Khhh(h)hŒlazyasd-0.1.4-py_1.tar.bz2”h+Œ b23ea8df484ecd09faa97f213a974962”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/lazyasd-0.1.4-py_1.tar.bz2”h0Œ@993c8f1a24b4042757ceede786ec7c50a3f4ca8dfd3fce4ff9fefd9d089d73a3”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-clause”hDGAÖÏ³ŽÝ?}hEMp.hFˆubh)”}”(hŒrequestsexceptions”h#Œ1.4.0”h%Œpy_0”h'K hhh(h)hŒ%requestsexceptions-1.4.0-py_0.tar.bz2”h+Œ cedf3ef3827c2732e80f7c84074f3a1d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/requestsexceptions-1.4.0-py_0.tar.bz2”h0Œ@f91fe2516272d9663af60c30503b6dd065bc53802407d146777f40ba6be7a620”h2NhNh3Œpython”…”h9h?h@Œ
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python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÑ_‡hEMÁ#hFˆubh)”}”(hŒ
selectors2”h#Œ2.0.2”h%Œpy_0”h'K hhh(h)hŒselectors2-2.0.2-py_0.tar.bz2”h+Œ fb6cb02a1ae89b4b6014642b51054b58”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/selectors2-2.0.2-py_0.tar.bz2”h0Œ@8fb69f910251791272e2a86e105e9a5a74c7d1bcaec997de611ab13ef2f3572f”h2NhNh3Œpython <3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ÅÞåž‡+hEMw3hFˆubh)”}”(hŒwikipedia_ql”h#Œ0.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'wikipedia_ql-0.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 18ca2da1baef34bd1538528d869e0e71”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/wikipedia_ql-0.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@27a50fadd06924e5b12fad7bbc1ee8c6eaf5e5b6c38d6efb228803729fcf010b”h2NhNh3(Œbs4 >=0.0.1”Œlark >=0.11.3”Œnltk >=3.6.2”Œpyaml >=21.10.1”Œpython >=3.7”Œrequests >=2.25.1”Œsoupsieve >=2.3.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØƒfVÉXhEM3VhFˆubh)”}”(hŒ	r-ensurer”h#Œ1.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-ensurer-1.1-r41hc72bb7e_1003.tar.bz2”h+Œ b6fdaa8094eae2976bdbf2e4d45ea5fd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ensurer-1.1-r41hc72bb7e_1003.tar.bz2”h0Œ@74a01f34936ab929db9da75c7e8456eb1fa7d8e8191ce957cd38c7807464a6ab”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsR¶¸RhEM\ÊhFˆubh)”}”(hŒsepaxml”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sepaxml-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 50d75c1c193fda911b1cccfcca2e98b1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sepaxml-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@14cf282a720b4d355062ad2a7d280bf7486005cb734a19bf54540dce313c6301”h2NhNh3Œpython >=3.6”Œtext-unidecode”Œ	xmlschema”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØU|¼â^5hEMñ5hFˆubh)”}”(hŒr-tfdatasets”h#Œ2.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-tfdatasets-2.9.0-r41hc72bb7e_0.tar.bz2”h+Œ 63ab83a0852bf1923a85bc7ee6169cc2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tfdatasets-2.9.0-r41hc72bb7e_0.tar.bz2”h0Œ@62b611c600ea816605244de2201bcdef2b2e4e3aaa5ec435e480f7c0a37f1b88”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-generics”Œ
r-magrittr”Œr-reticulate >=1.10”Œr-rlang”Œr-tensorflow >=1.13.1”Œr-tfestimators”Œr-tidyselect”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¯AÍ`´9hEJ€¦ hFˆubh)”}”(hŒ
r-liqueuer”h#Œ0.0.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ&r-liqueuer-0.0.1-r35h6115d3f_1.tar.bz2”h+Œ 29cadadf1f8430e6b24d2e2a84e725b2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-liqueuer-0.0.1-r35h6115d3f_1.tar.bz2”h0Œ@9881f75da94e6bcb9f8f1a81288c803b08d36da0a49e2fbc512562509a7c9b90”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-itertools”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M¸ú%hEJš hFˆubh)”}”(hŒdiceware”h#Œ0.9.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#diceware-0.9.6-pyh9f0ad1d_0.tar.bz2”h+Œ 613d540860e12e88519a097a3098e0da”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/diceware-0.9.6-pyh9f0ad1d_0.tar.bz2”h0Œ@23e285d747a7d8fb27b0b075d54773d87434e2a343940098ce2865375762a86a”h2NhNh3Œpython”Œ
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r-multcomp”Œ
r-nparcomp”Œ	r-simcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖþ‹ÄçmhEJg0 hFˆubh)”}”(hŒ	r-rematch”h#Œ1.0.1”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ(r-rematch-1.0.1-r42hc72bb7e_1005.tar.bz2”h+Œ 5c2ff1671a5cd8515337945925f75ddd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rematch-1.0.1-r42hc72bb7e_1005.tar.bz2”h0Œ@c38be9ad14e9274ed58e64510416852a3037e26ad61d3d245df5958cc680f915”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ5þ¨bNhEMkQhFˆubh)”}”(hŒr-hiver”h#Œ0.3.63”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-hiver-0.3.63-r40hc72bb7e_0.tar.bz2”h+Œ 29fccdc405d9fa9ac99b9821e29d9e64”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-hiver-0.3.63-r40hc72bb7e_0.tar.bz2”h0Œ@37840b69f27a3567a2a2da196fdd9cbeba7dafc6740b14a8150c9b2b956e96aa”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-jpeg”Œr-plyr”Œr-png”Œr-rcolorbrewer”Œr-rgl”Œr-tkrgl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ,1IXhEJ‰. hFˆubh)”}”(hŒde-ecovisio”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&de-ecovisio-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ afd4cf9e036855e193d6ca60d96ecf2f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/de-ecovisio-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b39c3fd33869350565a50beac5cd96c7e73541d8cfd6286bc16aa6f4d10235fc”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œurllib3 >=1.25.3”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÍ¶ª
n˜hEMcÀhFˆubh)”}”(hŒr-ini”h#Œ0.3.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ$r-ini-0.3.1-r41hc72bb7e_1003.tar.bz2”h+Œ 30f9d77091a3b846f10f386aadd4d215”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ini-0.3.1-r41hc72bb7e_1003.tar.bz2”h0Œ@eeb43d7758d51268626824c58ceab608ea12d91e4b3e9ec39e4f0d66b4b655cc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*Ù.{hEMExhFˆubh)”}”(hŒ	r-ggparty”h#Œ1.0.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-ggparty-1.0.0-r36h6115d3f_1.tar.bz2”h+Œ 53ef0256fd90708ed43c3b897ad4f2c8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggparty-1.0.0-r36h6115d3f_1.tar.bz2”h0Œ@1e840b4e1a1833a33c15e4e367b2e35a45fbba6db6e2932b056563178ad95645”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-checkmate”Œ	r-ggplot2”Œr-gtable”Œ
r-partykit”Œr-rlang”Œ
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r-jsonlite”Œ
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python >=3”Œscikit-learn >=0.22”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×·ë+D¼jhEJ¾ƒ hFˆubh)”}”(hŒlibidl-cos7-ppc64le”h#Œ0.8.14”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libidl-cos7-ppc64le-0.8.14-h9d98e8f_104.tar.bz2”h+Œ 87df7fda7fae88ef44f61b54811d2db6”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libidl-cos7-ppc64le-0.8.14-h9d98e8f_104.tar.bz2”h0Œ@1c2abdb46d076a5b227cce9010c353b3007e1fe91841d33657bfffa0edbc6d6e”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éy!KÇhEJ‰y hFˆubh)”}”(hŒ	kim-query”h#Œ3.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$kim-query-3.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4d321707ad5fba57e3f37a0576851839”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/kim-query-3.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cfe43fa52771d16d71b3753a78acf27fbaf9a4fa8470e1ad4b0472d97aeba61c”h2NhNh3Œpython >=3.6”Œrequests”†”h9h?h@ŒCDDL-1.0”hBŒOTHER”hDGAØÌ‘hhEMZWhFˆubh)”}”(hŒ	r-sparktf”h#Œ0.1.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-sparktf-0.1.0-r41hc72bb7e_2.tar.bz2”h+Œ bcbbd20ffd0fde6a93753c4312214c6f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sparktf-0.1.0-r41hc72bb7e_2.tar.bz2”h0Œ@c2ec7a45043ef24766bf6d1c56245a988eadf836f8ca08e3dde2b133b34eeac4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-sparklyr >=1.0”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ+°¤#¥ãhEMFthFˆubh)”}”(hŒ	r-compare”h#Œ0.2_6”h%Œr40h6115d3f_2”h'Khhh(h)hŒ%r-compare-0.2_6-r40h6115d3f_2.tar.bz2”h+Œ 2b89eb61fd1af46967955165a6ba28e5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-compare-0.2_6-r40h6115d3f_2.tar.bz2”h0Œ@0da1cc4255c64e488b4902cb4377e6d4488a5f469a81f8fec55dfd66a84c8a44”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬íiÄœhEJÙ hFˆubh)”}”(hŒpysolr”h#Œ3.9.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!pysolr-3.9.0-pyh9f0ad1d_0.tar.bz2”h+Œ 00d3cea45273f291ab57f5c7d4a10536”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pysolr-3.9.0-pyh9f0ad1d_0.tar.bz2”h0Œ@06993cd75fc24947be185750aade283d4218d62467f0473c1dbe9264ff87cd7b”h2NhNh3Œpython”Œrequests >=2.9.1”Œ
setuptools”‡”h9h?h@ŒBSD-3-clause”hBŒBSD”hDGA×©â¿I%hEMShFˆubh)”}”(hŒwhoosh”h#Œ2.7.4”h%Œpy_1”h'Khhh(h)hŒwhoosh-2.7.4-py_1.tar.bz2”h+Œ ac8493a2482d0c6f026f3842741ffce4”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/whoosh-2.7.4-py_1.tar.bz2”h0Œ@c6298446da04e65ccf1d41f3bebb571947422b0a0860c777050fc2cabeed6c30”h2NhNh3Œpython”…”h9h?h@ŒBSD 2-Clause”hBŒBSD”hDGAÖÒ™c¼IºhEJ\Ó hFˆubh)”}”(hŒr-parallelmap”h#Œ1.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-parallelmap-1.5.1-r40hc72bb7e_0.tar.bz2”h+Œ 5f060e672f1124d8bdd9e28f1367e402”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-parallelmap-1.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@97fc12fb521273d7f52f4a65c5b43fb0412c82a592742095c2e5f691f9d309d0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-bbmisc >=1.8”Œr-checkmate >=1.8.0”‡”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØ6`¡hEJç¿ hFˆubh)”}”(hŒ	r-superpc”h#Œ1.12”h%Œr36h142f84f_0”h'K hhh(h)hŒ$r-superpc-1.12-r36h142f84f_0.tar.bz2”h+Œ 1c7f369ef1d2a7057ec4f9c743ebba88”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-superpc-1.12-r36h142f84f_0.tar.bz2”h0Œ@64a84c62137aee49dae7a21b3c986d54faab8f2bc19c18171770ba3fe6d365c4”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-survival”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGA×ã§3ÉÊÁhEJé« hFˆubh)”}”(hŒr-metacycle”h#Œ1.2.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ'r-metacycle-1.2.0-r40h6115d3f_2.tar.bz2”h+Œ 45007643e5cf400738c47b139a1a6dc2”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metacycle-1.2.0-r40h6115d3f_2.tar.bz2”h0Œ@2b9068595d12ce3720cfa9e2c1994217e96eaffd1319ae85a2a39e64c1bf12d8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-gnm”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬«Ð÷ïžhEJ| hFˆubh)”}”(hŒr-ggsn”h#Œ0.5.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ"r-ggsn-0.5.0-r40hc72bb7e_2.tar.bz2”h+Œ f04c4573c76dcad7e108ca6c3336fa89”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggsn-0.5.0-r40hc72bb7e_2.tar.bz2”h0Œ@f79b1e09fca13ef1419c86ac22b093d26e7e8552b990f4c4db3cf0fd366e177d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggmap”Œ	r-ggplot2”Œ
r-maptools”Œr-png”Œr-sf”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ê›ohEJÔ¿
 hFˆubh)”}”(hŒlibdrm-cos7-ppc64le”h#Œ2.4.97”h%Œ
h1341992_0”h'K hhh(h)hŒ-libdrm-cos7-ppc64le-2.4.97-h1341992_0.tar.bz2”h+Œ 3ea6a2d99298190a6bb53ec66097a388”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-ppc64le-2.4.97-h1341992_0.tar.bz2”h0Œ@65da127ad98c7a959577969db1b74daa7b2492355e02cbd48394274d88fe52b8”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×mjçmhEJÜŽ hFˆubh)”}”(hŒr-shinybusy”h#Œ0.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-shinybusy-0.3.1-r42hc72bb7e_1.tar.bz2”h+Œ dbe46e901842269f83d640fd4b10127d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinybusy-0.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@498dbf781efe29efa091c8db9751d33898e0fb51b2cd7fd630be0eda15e696eb”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑLL…hEJÂ^	 hFˆubh)”}”(hŒr-smoothmest”h#Œ0.1_3”h%Œr40ha770c72_0”h'K hhh(h)hŒ(r-smoothmest-0.1_3-r40ha770c72_0.tar.bz2”h+Œ 912913c50042fce975d819385b4aa517”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-smoothmest-0.1_3-r40ha770c72_0.tar.bz2”h0Œ@48a5c9d49a0d55f8eaf51b15f5699129bea4630ff5edd9abf1056cf1f8a5c09c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL”hBŒGPL”hDGAØšw³™šhEJ®, hFˆubh)”}”(hŒ
r-ggthemes”h#Œ4.2.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-ggthemes-4.2.4-r41hc72bb7e_1.tar.bz2”h+Œ 62f57dc175b1b45966daaefd9c11cc66”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggthemes-4.2.4-r41hc72bb7e_1.tar.bz2”h0Œ@63ce270ad4d683e49ff0f64ad55e9f05a8379876dc5b56105997ccdd385eb5a9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-purrr”Œr-scales”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ€!i%hEJä hFˆubh)”}”(hŒlibibumad-cos7-x86_64”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libibumad-cos7-x86_64-22.4-ha826a6f_1103.tar.bz2”h+Œ 97192609c3c0b5c33d8e69ff9ba37b19”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-x86_64-22.4-ha826a6f_1103.tar.bz2”h0Œ@ac0084eeb35c47f91ff27bee7feb5dad157625d4113861ecd030844bd5efafcb”h2NhNh3Œ#rdma-core-cos7-x86_64 ==22.4 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,¼“çmhEMo{hFˆubh)”}”(hŒ	r-cardata”h#Œ3.0_5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-cardata-3.0_5-r40hc72bb7e_0.tar.bz2”h+Œ 349c0c9f470646d7e5061101b9cd5425”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cardata-3.0_5-r40hc72bb7e_0.tar.bz2”h0Œ@33e606d1aff6ed3d5ca29b0baf9bca29242f4671ee040d91d06bf61d2e78dd21”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØu˜på`hEJkA hFˆubh)”}”(hŒpdfminer.six”h#Œ20201018”h%Œpy_0”h'K hhh(h)hŒ"pdfminer.six-20201018-py_0.tar.bz2”h+Œ 98320e35f23dda7e5abf023f12fae5da”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pdfminer.six-20201018-py_0.tar.bz2”h0Œ@ec5a1e0289852b6e6d12920af65c3d22f269cac3b4e61f01ab02117d10c52233”h2NhNh3(Œchardet”Œcryptography”Œpython >=3.6”Œsortedcontainers”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ã';dhEJËÚM hFˆubh)”}”(hŒ	pyopenssl”h#Œ20.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyopenssl-20.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 92371c25994d0f5d28a01c1fb75ebf86”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyopenssl-20.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6ac0a42ee06712b62a1c51a72394c3cfced0f9a0585ae20435abe7a31023876e”h2NhNh3Œcryptography >=3.2”Œpython >=2.7”Œsix >=1.5.2”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ö?PõÃhEMm¾hFˆubh)”}”(hŒoauthlib”h#Œ3.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#oauthlib-3.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8f882b197fd9c4941a787926baea4868”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/oauthlib-3.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0cfd5146a91d3974f4abfc2a45de890371d510a77238fe553e036ec8c031dc5b”h2NhNh3(Œblinker”Œcryptography”Œpyjwt >=1.0.0”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÓ€CIxÕhEJ!g hFˆubh)”}”(hŒr-blandaltmanleh”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-blandaltmanleh-0.3.1-r41hc72bb7e_0.tar.bz2”h+Œ 072fb3199700f448d56e368edbc5250d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-blandaltmanleh-0.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@09129d0316421aae8f792a40dc95e8a01c144a096c915eba0d66c02dc173a2db”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØa¥Õ
n˜hEJÊŠ hFˆubh)”}”(hŒpciutils-libs-cos7-aarch64”h#Œ3.5.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ6pciutils-libs-cos7-aarch64-3.5.1-ha826a6f_1103.tar.bz2”h+Œ adac626271948e9e6daef21d2ee4d8cc”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-aarch64-3.5.1-ha826a6f_1103.tar.bz2”h0Œ@264944d72fb145ef6aa10adecfde60c573e42d59f99d3fbefee6447d893ad27f”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ{õ²-hEMÈ™hFˆubh)”}”(hŒopenml”h#Œ0.12.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"openml-0.12.2-pyhd8ed1ab_0.tar.bz2”h+Œ 05505aacf9a0ed3cbbdff2bf14e09369”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/openml-0.12.2-pyhd8ed1ab_0.tar.bz2”h0Œ@31de88524c832b77e1ea061d1d7942d527b615ec4d40d86784b09ab81b4aba64”h2NhNh3(Œliac-arff >=2.4.0”Œminio”Œnumpy >=1.6.2”Œpandas >=1.0.0”Œpyarrow”Œpython >=3.6”Œpython-dateutil”Œrequests”Œscikit-learn >=0.18”Œscipy >=0.13.3”Œ	xmltodict”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ8¹QðÄœhEJƒ hFˆubh)”}”(hŒr-rfoc”h#Œ3.4_6”h%Œr40h6115d3f_2”h'Khhh(h)hŒ"r-rfoc-3.4_6-r40h6115d3f_2.tar.bz2”h+Œ 37d195352da273471d4c430e1b739977”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rfoc-3.4_6-r40h6115d3f_2.tar.bz2”h0Œ@955e5e19c7fe170a93b371da9b0532de9586edd669aae8d536a515605e5bd811”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-geomap”Œr-mass”Œr-rpmg”Œr-rseis”Œ	r-splancs”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬_1¦éyhEJÕ!
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r-rintrojs”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-rintrojs-0.3.2-r41hc72bb7e_0.tar.bz2”h+Œ 236474ffa8758bb9cbedf4ea66829e5a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rintrojs-0.3.2-r41hc72bb7e_0.tar.bz2”h0Œ@0b4d1cba772643bf0bdf426f399a1bfa46c472f64d796286fb68892504e2607a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-shiny”‡”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØ¼ÌEÐ ÅhEMþhFˆubh)”}”(hŒr-maldiquantforeign”h#Œ0.13”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ.r-maldiquantforeign-0.13-r42hc72bb7e_1.tar.bz2”h+Œ 1a4e06ca01b0a435b0c8cdaec6a0c364”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-maldiquantforeign-0.13-r42hc72bb7e_1.tar.bz2”h0Œ@74332989eb128d1e480b364d5f317534e8722e51f76a18c705e4889680fa61ab”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-digest”Œr-maldiquant >=1.16.4”Œr-readbrukerflexdata >=1.7”Œr-readmzxmldata >=2.7”Œr-xml”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÒS|hEJCÒ hFˆubh)”}”(hŒblack”h#Œ22.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!black-22.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ fbc4b306c6ba24c244ffb22a910424da”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/black-22.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2a3ae5494918488d689480b658e31762953fa4e13b4de9100dfa94c31190b447”h2NhNh3(Œclick >=8.0.0”Œdataclasses >=0.6”Œmypy_extensions >=0.4.3”Œpathspec >=0.9,<1”Œplatformdirs >=2”Œpython >=3.6”Œtomli >=1.1.0”Œtyped-ast >=1.4.2”Œ#typing_extensions >=3.10,!=3.10.0.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ}ù­¿
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CECILL-2.1”hDGAØ\kW hEMRbhFˆubh)”}”(hŒr-hsaur”h#Œ1.3_10”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-hsaur-1.3_10-r40hc72bb7e_0.tar.bz2”h+Œ 811d8753d9e5da3b4e019d38c7c252d0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-hsaur-1.3_10-r40hc72bb7e_0.tar.bz2”h0Œ@902787f16f3507ea5a8ee443da1d15add6428cd96ba5c197261a93daf791efdd”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØšò=qhEJÞä hFˆubh)”}”(hŒmsgpack-numpy”h#Œ0.4.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(msgpack-numpy-0.4.8-pyhd8ed1ab_0.tar.bz2”h+Œ eb8559668a936aa9d1bb01c6a69bb125”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/msgpack-numpy-0.4.8-pyhd8ed1ab_0.tar.bz2”h0Œ@c1630db1f2477794cdacb98ee4814e3c86b66a6b03dbc8938453d42e8f68a78a”h2NhNh3Œmsgpack-python >=0.5.2”Œnumpy >=1.9.0”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ©öÅOßhEMè)hFˆubh)”}”(hŒr-gpseq”h#Œ0.5”h%Œr36_1002”h'Mêhhh(h)hŒr-gpseq-0.5-r36_1002.tar.bz2”h+Œ 6883d86fb29b5fb20f6588c9f36866f1”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-gpseq-0.5-r36_1002.tar.bz2”h0Œ@14e7d5e0835f1a2268da9657a46727a935bdd50d58128969bf48b8763675c551”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¬ÀœV§ðhEJ|¡ hFˆubh)”}”(hŒopuslib”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"opuslib-3.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ ca5a54c78b63829b3381b782192f5627”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/opuslib-3.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d859b1d5cadddddbcfd3302a310b91caefb5377fa3ecf1a1ae3d78241b34fff5”h2NhNh3Œlibopus”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ; >ƒohEMg5hFˆubh)”}”(hŒnpx”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒnpx-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3c7ba2a1c4043e043ce1e605276fc6e1”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/npx-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@157b860b552050a90bd31594d01195e4a998c26a7b16fc130f00362104990a3c”h2NhNh3Œnumpy >=1.20.0”Œ
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sshpubkeys”h#Œ3.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%sshpubkeys-3.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ b8359fec314d52ccb52b59d47cd2c2c0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sshpubkeys-3.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d19ddc51a4e0c09172f3d70a4f75d2b7f67a9b0204eb25ae586e94830ffe4b44”h2NhNh3Œcryptography >=2.1.4”Œecdsa >=0.13”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¨ÔˆêMÓhEM¯6hFˆubh)”}”(hŒeasydict”h#Œ1.9”h%Œpy_0”h'K hhh(h)hŒeasydict-1.9-py_0.tar.bz2”h+Œ 9d33ed726482c7026fb1c1bacf6100a5”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/easydict-1.9-py_0.tar.bz2”h0Œ@7a980095f351bfcf34c00b5003d5d30bca53f063deee3eebb6df69100098813b”h2NhNh3Œpython”…”h9h?h@ŒLGPL”hDGA×›L£çmhEM %hFˆubh)”}”(hŒlegit”h#Œ1.2.0.post0”h%Œpyh8c360ce_0”h'K hhh(h)hŒ&legit-1.2.0.post0-pyh8c360ce_0.tar.bz2”h+Œ 5e93d80c5e05de5c39d806abbfd3767c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/legit-1.2.0.post0-pyh8c360ce_0.tar.bz2”h0Œ@d588794231418a2a6ca11b00a67361c2f7c9f6566c610efb9932214ef3ee63fc”h2NhNh3(Œclick”Œclint”Œcrayons”Œ	gitpython”Œpython”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×›OsG¾whEMÌ<hFˆubh)”}”(hŒnspr-cos6-x86_64”h#Œ4.19.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,nspr-cos6-x86_64-4.19.0-h9d98e8f_104.tar.bz2”h+Œ 19a85d9b4dbd9c3a38dcb7f2dd03ec56”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nspr-cos6-x86_64-4.19.0-h9d98e8f_104.tar.bz2”h0Œ@9381d4e59db0df268c2892ea8d860c44520c6da71a3321f82e119a7068dfaa2b”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Éyè+×
hEJûù hFˆubh)”}”(hŒlibdrm-cos7-aarch64”h#Œ2.4.97”h%Œha826a6f_103”h'Kghhh(h)hŒ/libdrm-cos7-aarch64-2.4.97-ha826a6f_103.tar.bz2”h+Œ fd0bb3b3f627729600b30f357bc2718e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-aarch64-2.4.97-ha826a6f_103.tar.bz2”h0Œ@8578694c710bf073779407242ac0cca4edd50277eb5324c54871e2295ea6c478”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/uzÐåhEJïª hFˆubh)”}”(hŒinotify_simple”h#Œ1.3.5”h%Œpyha770c72_2”h'Khhh(h)hŒ)inotify_simple-1.3.5-pyha770c72_2.tar.bz2”h+Œ dab8e88c8c946e4bdfcf4a2ce44de0eb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/inotify_simple-1.3.5-pyha770c72_2.tar.bz2”h0Œ@8ac7ad09dab9a51ca8a41200eb62ea15cef20b171ac2af9bd5a7d403b6eddac1”h2NhNh3Œ__unix”Œpython >=3.5”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¿	÷;dhEM+hFˆubh)”}”(hŒr-aggregation”h#Œ1.0.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ,r-aggregation-1.0.1-r35h6115d3f_1001.tar.bz2”h+Œ 49c6f1b623ae6ceb2776726a316f356e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-aggregation-1.0.1-r35h6115d3f_1001.tar.bz2”h0Œ@37049dc3d871ae0694fd8a2f6a20deff3825e1268ce18a4f7c97f18d40e71587”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M/ä{hEMyhFˆubh)”}”(hŒr-drc”h#Œ3.0_1”h%Œr36_1003”h'Mëhhh(h)hŒr-drc-3.0_1-r36_1003.tar.bz2”h+Œ 00130b4b2005bc46cd5a3fd3b55a8717”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-drc-3.0_1-r36_1003.tar.bz2”h0Œ@2e20b3538c332d19b0331a17c356aa260718674b603c30424b19ba70b23d886d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-car”Œr-gtools”Œr-mass”Œ
r-multcomp”Œ	r-plotrix”Œr-scales”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬ÞÉ‘hhEJM hFˆubh)”}”(hŒrb-addressable”h#Œ2.7.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ'rb-addressable-2.7.0-hc42de5b_0.tar.bz2”h+Œ 5825b32e8a77d3066e951189f18d90a8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/rb-addressable-2.7.0-hc42de5b_0.tar.bz2”h0Œ@bec611b46225a11e73d2927dc7e8a7b3243256e21c78fcd4009864596112cc18”h2NhNh3Œrb-public_suffix >=2.0.2,<5”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×ZƒŽüí‘hEJ×ˆ hFˆubh)”}”(hŒmesa-libegl-cos6-x86_64”h#Œ11.0.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ4mesa-libegl-cos6-x86_64-11.0.7-ha826a6f_1103.tar.bz2”h+Œ 360491d0c12f8bd69159886644e6399b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos6-x86_64-11.0.7-ha826a6f_1103.tar.bz2”h0Œ@57a550a100dff85d30adeb1153c1b0193d6ffb0dfc94690853d3f5693c01b979”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0‘%hEM^óhFˆubh)”}”(hŒseqeval”h#Œ1.2.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"seqeval-1.2.2-pyhd3deb0d_0.tar.bz2”h+Œ d4436c8a8b9fb6d60fe4e7b9f097f9bb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/seqeval-1.2.2-pyhd3deb0d_0.tar.bz2”h0Œ@7b025d613ded0b06c268e92fd94f1309077b3e57ee5dcc174f84281cf8f88e5c”h2NhNh3Œnumpy”Œpython”Œscikit-learn”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ô¥¦÷ÏhEM¹BhFˆubh)”}”(hŒr-bmp”h#Œ0.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ"r-bmp-0.3-r36h6115d3f_1002.tar.bz2”h+Œ 8f0262aa5366d1dbcb624cadb84dbd0b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bmp-0.3-r36h6115d3f_1002.tar.bz2”h0Œ@1cb2503dc4550168c51a790753144a15912d3735a5e7bb5f2f03dec39109096c”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LŽ}½VhEJîË hFˆubh)”}”(hŒr-profilemodel”h#Œ0.6.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-profilemodel-0.6.1-r41hc72bb7e_1.tar.bz2”h+Œ 9be0e2f51dd4f0d62c010780a2ed2c06”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-profilemodel-0.6.1-r41hc72bb7e_1.tar.bz2”h0Œ@8dcb9b609222517ef4c0ad5952691460ed926fd74d35d954bba3e9132668a34b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑÁÅ²-hEJÚÔ hFˆubh)”}”(hŒpyusb”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pyusb-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 10ac3bd7c15d0a0cae77ce0b123e618c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyusb-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2224f64a413f113b476c6be743171910cd6b1b65412c5a6a1611eadcb215e0b2”h2NhNh3Œlibusb”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ:†²-hEM½ hFˆubh)”}”(hŒr-inlinedocs”h#Œ	2019.12.5”h%Œr36_0”h'K hhh(h)hŒ$r-inlinedocs-2019.12.5-r36_0.tar.bz2”h+Œ 8aa140a312dac8104475af22c315347b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-inlinedocs-2019.12.5-r36_0.tar.bz2”h0Œ@591d7cd18ce0127a83f0e319dbd67ca639edcdb61f0c933f14a730dc2206ca1e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×z‚3pQìhEJ“* hFˆubh)”}”(hŒr-stopwords”h#Œ2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-stopwords-2.3-r41hc72bb7e_0.tar.bz2”h+Œ b87a80a9e8256559698ddd51bc61b603”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stopwords-2.3-r41hc72bb7e_0.tar.bz2”h0Œ@162d377da4d84e74f7ed9cca7b1f520f2bfe4ccdfb8daa46a362747eb7c2e1b8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-desc”Œ
r-isocodes”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ^ªýôhEJ3š hFˆubh)”}”(hŒsputnik”h#Œ0.9.3”h%Œpyhd8ed1ab_1003”h'Mëhhh(h)hŒ%sputnik-0.9.3-pyhd8ed1ab_1003.tar.bz2”h+Œ 5035c9df1b6cc59f36ab0b86b0cf891a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sputnik-0.9.3-pyhd8ed1ab_1003.tar.bz2”h0Œ@ea2b51a8e7eafd3b1f1c326835b60278b4bbb56f727e3786924c2539b97bf916”h2NhNh3Œpython >=3.6”Œsemver”†”h9h?h@ŒMIT”hBŒMIT”hDGAØe¬éº¬hEMIchFˆubh)”}”(hŒflask-executor”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)flask-executor-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ b001789257776465eb1f14ccd623025a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/flask-executor-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2d004707cdaf1c8fa763b63472709bf5400b2506632db8823a0e0a4632205cf8”h2NhNh3Œflask”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¿"¼jhEM2hFˆubh)”}”(hŒr-korpus”h#Œ0.13_8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-korpus-0.13_8-r41hc72bb7e_0.tar.bz2”h+Œ 4d5de1d56f5e52827eee076f7f3e2e91”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-korpus-0.13_8-r41hc72bb7e_0.tar.bz2”h0Œ@4ca6ba468604b4d58de4237663d556d26c65a826864f53c38a4ff6fef518b767”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-matrix”Œr-sylly >=0.1_6”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*õÒo®hEJ_T hFˆubh)”}”(hŒpyscript-cli”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pyscript-cli-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3e859e6f4bb36ec06005252fc953fb63”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pyscript-cli-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@bb38b26808e9456416f6ab349e4cc2066c79ad9c2b9fba3276c2ea79ef371c9a”h2NhNh3(Œ"importlib-metadata >=4.11.3,<5.0.0”Œjinja2 >=3.1.2,<4.0.0”Œpython >=3.7”Œrich >=12.3.0,<13.0.0”Œrich-click >=1.3.0,<2.0.0”Œtyper >=0.4.1,<0.5.0”t”h9h?h@Œ
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tinydb >=4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ»Qÿ-ãThEJ*w hFˆubh)”}”(hŒ python-javapackages-cos7-aarch64”h#Œ3.4.1”h%Œ
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setuptools”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ«›·¼ZhEJás hFˆubh)”}”(hŒr-mlgt”h#Œ0.16”h%Œr36_1001”h'Méhhh(h)hŒr-mlgt-0.16-r36_1001.tar.bz2”h+Œ 337193e655773c4c1981f8d8230581d1”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-mlgt-0.16-r36_1001.tar.bz2”h0Œ@4963da55ebcdda1e9875b5da7d581b7ff4d85cf2564811f5ebf9f059f359a1b2”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-seqinr”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÔâh“uhEJ~£ hFˆubh)”}”(hŒ	r-cvtools”h#Œ0.3.2”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ(r-cvtools-0.3.2-r42hc72bb7e_1004.tar.bz2”h+Œ 055382d01c2a613f1c7a451d25b2e7f4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cvtools-0.3.2-r42hc72bb7e_1004.tar.bz2”h0Œ@eeb185753db5fe4b463f0db1f0e7979e4bce3bd92e471c89fbd1b8568f7b3517”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”Œr-robustbase”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐâl.hEJ‡ hFˆubh)”}”(hŒparanoid_scientist”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-paranoid_scientist-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3fdc382ec14179da866acfd558aea338”h.Œ[https://conda.anaconda.org/conda-forge/noarch/paranoid_scientist-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@12bf27868dcad4b6dd2658d6d0af049c4bda8830b349ee2b65fd98dc2a3b0144”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØJ	VÒòhEMÛYhFˆubh)”}”(hŒr-naturalsort”h#Œ0.1.3”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ,r-naturalsort-0.1.3-r40hc72bb7e_1003.tar.bz2”h+Œ 1b9783a507aad338afe2697f8e1c9916”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-naturalsort-0.1.3-r40hc72bb7e_1003.tar.bz2”h0Œ@b263aa7557cab7f903d9258a0b6dfd983048c1c5dde08f4a8ee2ccafa5d6314d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ+¥fhEMŸZhFˆubh)”}”(hŒ	ipycanvas”h#Œ0.13.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%ipycanvas-0.13.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8f346048132758a3a75dffaf5af1efb7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ipycanvas-0.13.1-pyhd8ed1ab_0.tar.bz2”h0Œ@63a700fa54284e89d887f510de3685d6518c6abf0dc7c756e162a5c5cfeb7eba”h2NhNh3(Œipywidgets >=7.6.0,<9”Œnumpy”Œpillow >=6.0”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÃ!ÁjMÓhEJYX hFˆubh)”}”(hŒr-treatmentselection”h#Œ2.1.1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ3r-treatmentselection-2.1.1-r40hc72bb7e_1002.tar.bz2”h+Œ 2bb726d9583e08122b48b6f3abe2bc04”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-treatmentselection-2.1.1-r40hc72bb7e_1002.tar.bz2”h0Œ@a2095b9db657bb9136cee1b615bb926aa7c5bc70cf76aef70c5843dbe71d3f55”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-binom”Œ	r-ggplot2”Œ
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Apache 2.0”hDGA×é¾³ÎéyhEM´ÏhFˆubh)”}”(hŒflasgger”h#Œ0.9.5”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#flasgger-0.9.5-pyhd8ed1ab_1.tar.bz2”h+Œ 58f859ef6b48621199c9e43df1cefc26”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/flasgger-0.9.5-pyhd8ed1ab_1.tar.bz2”h0Œ@29d41199f836a2206ca9c8a64356b0b26c09e25ba86dbee2dccd5974bfd2aa8a”h2NhNh3(Œflask >=0.10”Œjsonschema >=3.0.1”Œmistune”Œpython 2.7|>=3.6”Œpyyaml >=3.0”Œsix >=1.10.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØb+¸ÔþhEJ´)2 hFˆubh)”}”(hŒat-spi-devel-cos6-x86_64”h#Œ1.28.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ5at-spi-devel-cos6-x86_64-1.28.1-ha826a6f_1103.tar.bz2”h+Œ d1f165c6ba80e6ef3be8168ada76a478”h.Œchttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos6-x86_64-1.28.1-ha826a6f_1103.tar.bz2”h0Œ@61ba6b423157657fe3866e20125a6034d7ae3c089a89dcb51035f09cc4e5e7a1”h2NhNh3(Œ"at-spi-cos6-x86_64 ==1.28.1 *_1103”Œ%atk-devel-cos6-x86_64 >=1.13.0 *_1103”Œ&gtk2-devel-cos6-x86_64 >=2.10.0 *_1103”Œ'gtk2-devel-cos6-x86_64 >=2.24.23 *_1103”Œ*libbonobo-devel-cos6-x86_64 >=2.4.0 *_1103”Œ'orbit2-devel-cos6-x86_64 >=2.6.0 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ5Š^5hEJ´Z hFˆubh)”}”(hŒpybader”h#Œ0.3.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pybader-0.3.12-pyhd8ed1ab_0.tar.bz2”h+Œ e575ce6ebd1d36917da6171811f2154d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pybader-0.3.12-pyhd8ed1ab_0.tar.bz2”h0Œ@690f86d615f7d716bed2884115cc4c0f8222bf8319e653af78500ff7cdde7b12”h2NhNh3(Œnumba”Œnumpy”Œpandas”Œpython >=3.6”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥6îk¥ãhEM‚hFˆubh)”}”(hŒr-precommit”h#Œ0.3.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-precommit-0.3.2-r40hc72bb7e_0.tar.bz2”h+Œ 07c156fc4801c03edd0c29059978315d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-precommit-0.3.2-r40hc72bb7e_0.tar.bz2”h0Œ@0ba385263520ed511b988e4f5a8e7bfd8d4f346c9ab6bfadf1d7cb6e466e7795”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cli”Œr-fs”Œr-here”Œ
r-magrittr”Œr-purrr”Œ	r-r.cache”Œr-rlang”Œr-rprojroot”Œr-rstudioapi”Œr-withr”Œr-yaml”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ´ñDÊÁhEJÏé hFˆubh)”}”(hŒ
r-gridbase”h#Œ0.4_7”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ)r-gridbase-0.4_7-r42hc72bb7e_1004.tar.bz2”h+Œ ebb8fdb97c3fb8fbf8d2b698cb786511”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r42hc72bb7e_1004.tar.bz2”h0Œ@cffaa3fd8f7e2fd11baab9ccdd4e6b7c376e0873dd055935240efd608c286689”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÐþàbNhEJÚ hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy310h1234567_0”h'K hhh(h)hŒ*pyomniscidb-5.10.2-py310h1234567_0.tar.bz2”h+Œ ca850f3c8e1c98ac7d088e1269aacb7a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py310h1234567_0.tar.bz2”h0Œ@ed2a5f072c2a927655dd528584e792ffb5fc0cff030a6f79bb7758b61a383751”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ‡ßŠxÕhEMøhFˆubh)”}”(hŒcategory_encoders”h#Œ2.5.1.post0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2category_encoders-2.5.1.post0-pyhd8ed1ab_0.tar.bz2”h+Œ 729c5ad751d03370b74f1dd62ae1ac50”h.Œ`https://conda.anaconda.org/conda-forge/noarch/category_encoders-2.5.1.post0-pyhd8ed1ab_0.tar.bz2”h0Œ@0d505582c9ebd97123e4f6f1c5072b86071701216991e5361f8540ba69bf80be”h2NhNh3(Œnumpy >=1.14.0”Œpandas >=1.0.5”Œpatsy >=0.5.1”Œpython >=3.5”Œscikit-learn >=0.20.0”Œscipy >=1.0.0”Œstatsmodels >=0.9.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÏ»^<ZhEMøhFˆubh)”}”(hŒr-naepprimer”h#Œ1.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-naepprimer-1.0.1-r40hc72bb7e_0.tar.bz2”h+Œ c88b1c1a563e79bf16a62c763223ae06”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-naepprimer-1.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@e28e4f701842f7666e0c688578c60d81d34b357aecc685bcf496a1ad9cc620f9”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ç_{'\)hEJ5# hFˆubh)”}”(hŒlibxrender-cos6-x86_64”h#Œ0.9.10”h%Œha826a6f_103”h'Kghhh(h)hŒ2libxrender-cos6-x86_64-0.9.10-ha826a6f_103.tar.bz2”h+Œ 1e9aca180616ca9632d12e5ac38cbbcb”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxrender-cos6-x86_64-0.9.10-ha826a6f_103.tar.bz2”h0Œ@dd7eca95511fc209b6692e4598dd39651c9a46d29acb2f34731a0ee554ef48c9”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1šâ¬hEMDWhFˆubh)”}”(hŒfaker”h#Œ0.8.18”h%Œpy_0”h'K hhh(h)hŒfaker-0.8.18-py_0.tar.bz2”h+Œ 9ecb368f7485f5f07f276ee75714749d”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/faker-0.8.18-py_0.tar.bz2”h0Œ@06837c4d421fe6944d7e0f8de5d3991acc913a13aacb6fe1cf35a728c51e566a”h2NhNh3(Œ	ipaddress”Œpython”Œpython-dateutil >=2.4”Œ
six >=1.10”Œtext-unidecode 1.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖàÉ?ß;hEJ¿ hFˆubh)”}”(hŒopentelemetry-instrumentation”h#Œ0.28b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9opentelemetry-instrumentation-0.28b0-pyhd8ed1ab_0.tar.bz2”h+Œ 613afb4e00e9aff7fdce7e1ae02b5f18”h.Œghttps://conda.anaconda.org/conda-forge/noarch/opentelemetry-instrumentation-0.28b0-pyhd8ed1ab_0.tar.bz2”h0Œ@093f4a6e2bac39523ff567750204e09d9318e54a3995f7c5ccecfbae6dc15c92”h2NhNh3Œopentelemetry-api ~=1.4”Œpython >=3.5”Œwrapt <2.0.0,>=1.0.0”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ|—·.5?hEMvUhFˆubh)”}”(hŒmesa-libegl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ;mesa-libegl-devel-cos7-ppc64le-18.3.4-ha826a6f_1103.tar.bz2”h+Œ 6c797314c40727a305050a9ecfb90edd”h.Œihttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-ppc64le-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@5d59b024e3dac486ecb57018f1ec49e8ac5d635a08e2aaaaa1c8af21c6a010c5”h2NhNh3Œ+mesa-khr-devel-cos7-ppc64le ==18.3.4 *_1103”Œ(mesa-libegl-cos7-ppc64le ==18.3.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ4/hEMÈMhFˆubh)”}”(hŒxmitgcm”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"xmitgcm-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ fa9bab98df6ee06367c19eac79f17603”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/xmitgcm-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@7593f6e5540be5c9233dcd29b346041cdce10937b79b17f7864dab811963a8d8”h2NhNh3(Œ
cachetools”Œ
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r-generics”Œ	r-ggplot2”Œr-jtools >=2.0.3”Œr-rlang >=0.3.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÆõó"ÑhEJ¸¹ hFˆubh)”}”(hŒfreetype-cos7-aarch64”h#Œ2.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ/freetype-cos7-aarch64-2.8-ha826a6f_1103.tar.bz2”h+Œ ec4fe71ca661d6dc44c5490732084b13”h.Œ]https://conda.anaconda.org/conda-forge/noarch/freetype-cos7-aarch64-2.8-ha826a6f_1103.tar.bz2”h0Œ@9f1e8f19c2e003be547a3c52ac05cc4a2f674b000c9dd780fc7b792ff67f9b49”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×Æ/ý¬9XhEJ hFˆubh)”}”(hŒrequests-oauthlib”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,requests-oauthlib-1.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 61b279f051eef9c89d58f4d813e75e04”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-1.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@889e3c1b84467b64046776db95dc4c5ea4dad5afaa5ec18ad811bd95c63286b0”h2NhNh3Œoauthlib >=3.0.0”Œpython >=3.4”Œrequests >=2.0.0”‡”h9h?h@ŒISC”hDGAØ}¬©‹DhEM³VhFˆubh)”}”(hŒflake8-rst-docstrings”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0flake8-rst-docstrings-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 624c7c88f7548b03c8eb5ea5296ec76e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/flake8-rst-docstrings-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@932ee9eedb05ad42621aa9a62fa91e21dc36d0eacb033a54640963fddebc5c02”h2NhNh3(Œdocutils”Œ
flake8 >=3”Œpygments”Œpython >=3.7”Œrestructuredtext_lint”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÝ
>éyhEM 9hFˆubh)”}”(hŒ	uglify-js”h#Œ3.13.10”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ$uglify-js-3.13.10-hd8ed1ab_0.tar.bz2”h+Œ ac3fd7d58f37396f6099292b8454277c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/uglify-js-3.13.10-hd8ed1ab_0.tar.bz2”h0Œ@b903438d1f61855010f0a01f5bd7a8b76dd020b15fc99e77be47368f29a905e7”h2NhNh3)h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØ6,ùº^hEJq• hFˆubh)”}”(hŒopencensus-context”h#Œ0.1.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ-opencensus-context-0.1.2-pyh9f0ad1d_0.tar.bz2”h+Œ c8dfd8c1760437cc25e772ffeb5048f0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/opencensus-context-0.1.2-pyh9f0ad1d_0.tar.bz2”h0Œ@3f8812c629eeee152248424a85905f2a67aa45a3da541aad99a8649dca5ec12e”h2NhNh3Œcontextvars”Œpython”†”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×LÐ‰àbNhEJªY hFˆubh)”}”(hŒr-tensr”h#Œ1.0.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ&r-tensr-1.0.1-r40h6115d3f_1002.tar.bz2”h+Œ f643595b09d543003126a8d32185345c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tensr-1.0.1-r40h6115d3f_1002.tar.bz2”h0Œ@493504630d7eab1c7e6602493d611a37e613b1f2c00721e96118e0cbc4f05524”h2NhNh3Œr-assertthat”Œr-base >=4.0,<4.1.0a0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬J5ù‰7hEJ) hFˆubh)”}”(hŒjupytab”h#Œ0.9.11”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#jupytab-0.9.11-pyh9f0ad1d_0.tar.bz2”h+Œ d17bb2a2dd6df8f4909af44fa14bf38b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jupytab-0.9.11-pyh9f0ad1d_0.tar.bz2”h0Œ@1dd662c9a4f6a2c55e1368bbf9038dd057e59b43159c15a1a0104b152db16061”h2NhNh3Œpandas”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Öü„‹DhEM©&hFˆubh)”}”(hŒr-futile.options”h#Œ1.0.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ/r-futile.options-1.0.1-r36h6115d3f_1001.tar.bz2”h+Œ 2855f2b8382a0bfb82cbfb59cfbef9ab”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-futile.options-1.0.1-r36h6115d3f_1001.tar.bz2”h0Œ@24d91f5dfa8898e82cd0fc6fc2f2b0b4e8033e7ffbc0cc50fce330fe5a89f2ca”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×Kð]XhEM	_hFˆubh)”}”(hŒr-tfruns”h#Œ1.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-tfruns-1.5.1-r40hc72bb7e_0.tar.bz2”h+Œ a23434e260ed8b0ad464ae07a7a9c879”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tfruns-1.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@434941aa3c78ad5038a3a598353ebca8de008b6186d78687c413b356ed5c493e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-config”Œr-jsonlite >=1.2”Œ
r-magrittr”Œr-reticulate”Œr-rlang”Œr-rstudioapi >=0.7”Œr-tidyselect”Œ	r-whisker”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÅ¢áG¾whEJßø hFˆubh)”}”(hŒr-expss”h#Œ0.11.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-expss-0.11.4-r42hc72bb7e_0.tar.bz2”h+Œ 1845fd1d16648ae7071ecc77e3f72864”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-expss-0.11.4-r42hc72bb7e_0.tar.bz2”h0Œ@8e684965f1eb79dbc4d472285dbfe81845d5dae533baf93bb9662458a113c88f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.12.6”Œr-htmltable >=1.11.0”Œr-maditr >=0.8.2”Œr-matrixstats >=0.51.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÙÆE°´9hEJÐE  hFˆubh)”}”(hŒgeopy”h#Œ2.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ geopy-2.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 529faeecd6eee3a3b782566ddf05ce92”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/geopy-2.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@98e34031f7e0b0f32edb8208762fd4f919cc6cc2f90daf16519125d8e075ad30”h2NhNh3Œgeographiclib <2,>=1.49”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÜA ‰º^hEJç hFˆubh)”}”(hŒr-gpfit”h#Œ1.0_8”h%Œr40h6115d3f_1”h'Khhh(h)hŒ#r-gpfit-1.0_8-r40h6115d3f_1.tar.bz2”h+Œ 30050ec8a9f4052c8f01846b93ddd047”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gpfit-1.0_8-r40h6115d3f_1.tar.bz2”h0Œ@5fe4aa5680d9946b1801ba57c855fb82d6f237ac7e78ca0e3f43eef8d517c803”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lattice >=0.18_8”Œr-lhs >=0.5”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«øû‘hhEJ\^ hFˆubh)”}”(hŒ	r-rphylip”h#Œ0.1_23”h%Œr36_1002”h'Mêhhh(h)hŒ!r-rphylip-0.1_23-r36_1002.tar.bz2”h+Œ 82ddafe5c2a529056443dab28e487540”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rphylip-0.1_23-r36_1002.tar.bz2”h0Œ@536cfa811742262d0b2aec81cf21bc1cb02e524cf8a70fac421bb14cbdd546cf”h2NhNh3Œr-ape >=3.0_10”Œr-base >=3.6,<3.7.0a0”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L´R)&éhEJŽ hFˆubh)”}”(hŒ	r-fdboost”h#Œ1.1_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-fdboost-1.1_1-r42hc72bb7e_1.tar.bz2”h+Œ 113db83abfe71eff15048d1156b4f39f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-fdboost-1.1_1-r42hc72bb7e_1.tar.bz2”h0Œ@36b58cc5ba15354c8ccefa6c4164a524e570a9f98e21d4cca8a4290463afb4ff”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-gamboostlss >=2.0_0”Œr-mass”Œr-matrix”Œr-mboost >=2.8_0”Œr-mgcv”Œr-stabs”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ]hEJ=5 hFˆubh)”}”(hŒspake2”h#Œ0.8”h%Œpy_3”h'Khhh(h)hŒspake2-0.8-py_3.tar.bz2”h+Œ c1fbf0d38f29064c254190fae0cb71ef”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/spake2-0.8-py_3.tar.bz2”h0Œ@3b07940538634e936ab3862dbca2103dc5a8cf77f86cbf05723193e597d841da”h2NhNh3Œhkdf”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Š—XÉ©ühEMÁ“hFˆubh)”}”(hŒlibxfixes-devel-cos6-x86_64”h#Œ5.0.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libxfixes-devel-cos6-x86_64-5.0.3-h9d98e8f_104.tar.bz2”h+Œ 100e6beac09f5fd93615f38ce6731a43”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos6-x86_64-5.0.3-h9d98e8f_104.tar.bz2”h0Œ@612cd2209515e2de4d2627922c2805d23f9f41b8d4f186db84db27d88c4d6173”h2NhNh3Œ#libxfixes-cos6-x86_64 ==5.0.3 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}Hò\hEMå%hFˆubh)”}”(hŒr-spthin”h#Œ0.2.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-spthin-0.2.0-r36hc72bb7e_0.tar.bz2”h+Œ 6d269e24945ccba75047eb90a8a828a3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spthin-0.2.0-r36hc72bb7e_0.tar.bz2”h0Œ@d080eee91df2f5965f1aa29c80ba805e04cf6d89d42d45004e64f24bfdc48442”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-fields”Œr-knitr”Œr-spam”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ1ü“hEJÁÕ hFˆubh)”}”(hŒlibibverbs-cos7-ppc64le”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libibverbs-cos7-ppc64le-22.4-h9d98e8f_1104.tar.bz2”h+Œ 6f18397aa96dd11c86a03a0d1e2d8525”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-ppc64le-22.4-h9d98e8f_1104.tar.bz2”h0Œ@4eecc97bfaedf068224742732341af084eab3c321c31eed62b79a651e580cc39”h2NhNh3Œ$rdma-core-cos7-ppc64le ==22.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É|ßïžhEJ.‹ hFˆubh)”}”(hŒr-fail”h#Œ1.3”h%Œr36_1002”h'Mêhhh(h)hŒr-fail-1.3-r36_1002.tar.bz2”h+Œ b23f32a0203837fcb03729eb94f5cbe6”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-fail-1.3-r36_1002.tar.bz2”h0Œ@f64bb83eee14102fe00d71ffc4bdd8eae13fae97df7a4338a8785527d6a61f52”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-bbmisc”Œr-checkmate”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×¬Ïî~—hEMŸÏhFˆubh)”}”(hŒr-gclus”h#Œ1.3.2”h%Œr35h6115d3f_1”h'Khhh(h)hŒ#r-gclus-1.3.2-r35h6115d3f_1.tar.bz2”h+Œ 98dd5b33deea29c4b1c203a820d0154b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gclus-1.3.2-r35h6115d3f_1.tar.bz2”h0Œ@33951d36374610d030942a3e912e9f23c17ba971ed02d2cd6e6891cb9ccf1b95”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-cluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÆc"ÑhEJ=Ä hFˆubh)”}”(hŒatap_widgets”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'atap_widgets-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 34282cc0351eea89960fa66fa940fa4d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/atap_widgets-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2548f2bdd68ac79238be13e25a18a9afaf8143f0bb098a8f4cd43d323f469fec”h2NhNh3(Œbokeh >=2.0,<3.0”Œipywidgets >=8.0,<9.0”Œpandas >=1.3,<2.0”Œpython >=3.8,<3.12”Œspacy >=3.0,<4.0”Œtextacy”Œxlsxwriter >=3,<4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÖzúº¬hEMäbhFˆubh)”}”(hŒpymodelchecking”h#Œ1.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pymodelchecking-1.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 4a57bf8c71f1c0d0efb7f0da3aec4046”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pymodelchecking-1.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0262f53478728a552e40e6a9200d47c6ac55605e1a03fe56e4061253432e07fb”h2NhNh3Œlark-parser”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ¢)Š\hEMÔ hFˆubh)”}”(hŒreciprocalspaceship”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.reciprocalspaceship-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2dfb57e6e5fe904725c86ad616bff616”h.Œ\https://conda.anaconda.org/conda-forge/noarch/reciprocalspaceship-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d24f7f419fd1a46419f494e6feb42bc477dd28726045459bc04a72b4e2ff9e3a”h2NhNh3(Œgemmi >=0.5.5,<=0.5.7”Œipython”Œnumpy”Œpandas >=1.2.0,<=1.4.4”Œpython >3.7”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÛ½ç¥ãhEMöëhFˆubh)”}”(hŒchembl_webresource_client”h#Œ0.10.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5chembl_webresource_client-0.10.8-pyhd8ed1ab_0.tar.bz2”h+Œ d561829a33d3e7c47f56b120be0e9361”h.Œchttps://conda.anaconda.org/conda-forge/noarch/chembl_webresource_client-0.10.8-pyhd8ed1ab_0.tar.bz2”h0Œ@8ac6420a6fd852bfa366c95cd18dc84b5f01589e20a94eca6e7778cf1af9e83f”h2NhNh3(Œeasydict”Œ	grequests”Œpython >=3.6”Œrequests-cache”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¤¥|áxÕhEM`°hFˆubh)”}”(hŒjupyter_innotater”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,jupyter_innotater-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7140439300d2a16c4c089d0d747853ee”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyter_innotater-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@92344eb061689c116d24de69b67dcff519c80bf13fb782f3bc68b306d14a74d7”h2NhNh3(Œipywidgets >=7.1.0”Œjupyter-packaging”Œ
jupyterlab”Œnumpy >=1.4.0”Œpypng >=0.0.19”Œpython >=3.6”Œ	traitlets”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‰.Š\hEJÊ· hFˆubh)”}”(hŒlibnl3-cos7-ppc64le”h#Œ3.2.28”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libnl3-cos7-ppc64le-3.2.28-h9d98e8f_104.tar.bz2”h+Œ 3135b23c492b9e94cf5b7386aecb17f8”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-ppc64le-3.2.28-h9d98e8f_104.tar.bz2”h0Œ@ffe8b7870d2f5d2b5f3604835ec42935fd73db85de931f2ca7aac5176eeff3c6”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Éyf\)hEJP  hFˆubh)”}”(hŒflask_simplelogin”h#Œ0.0.7”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ,flask_simplelogin-0.0.7-pyhd3deb0d_0.tar.bz2”h+Œ 6884cf6ee84175d17e3788ebe666336b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/flask_simplelogin-0.0.7-pyhd3deb0d_0.tar.bz2”h0Œ@6ee2e1dceaea0f77642eaaf9fe0830c73dcf6a676374ca79726b7bd6ff845e5d”h2NhNh3(Œclick”Œflask >=0.12”Œ	flask-wtf”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ýÖc„‹DhEMQ=hFˆubh)”}”(hŒlibxml2-cos6-x86_64”h#Œ2.7.6”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libxml2-cos6-x86_64-2.7.6-ha826a6f_1103.tar.bz2”h+Œ c8cbba99d7f81701570d7e2a7f756b3a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos6-x86_64-2.7.6-ha826a6f_1103.tar.bz2”h0Œ@bbdf916ed1c7994ef8d42b32ba03b81851fa08af38d32d347081796b3fb1a23d”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/„‡hEJ. hFˆubh)”}”(hŒnapari-psf-simulator”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/napari-psf-simulator-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ d18b097ed4018e5584e1457df16fb86a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/napari-psf-simulator-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@b8e301d5288baf3056c413bdb0f63250733036a5933f9d47bbe48f701f8f1537”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpython >=3.8”Œqtpy”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ±§Ô‹C–hEM‹`hFˆubh)”}”(hŒr-gpseq”h#Œ0.5”h%Œr36_1001”h'Méhhh(h)hŒr-gpseq-0.5-r36_1001.tar.bz2”h+Œ ca9c953fa7f8843a739ee8d205f7ffb0”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-gpseq-0.5-r36_1001.tar.bz2”h0Œ@6c3b1b8f81148a74f27f129887b7836fe671d410d4dcfaa65ecb0424b1fb472b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×M_L9XhEJß… hFˆubh)”}”(hŒrdma-core-devel-cos7-x86_64”h#Œ22.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6rdma-core-devel-cos7-x86_64-22.4-h9b0a68f_1105.tar.bz2”h+Œ 0c9a0802088aee9f6ca73835a2a0f698”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/rdma-core-devel-cos7-x86_64-22.4-h9b0a68f_1105.tar.bz2”h0Œ@059af3d93d299ccd8e288765b2e3fbbef0b379b5160fef4f16e38ddc594c3280”h2NhNh3(Œibacm-cos7-x86_64 ==22.4 *_1105”Œ#libibumad-cos7-x86_64 ==22.4 *_1105”Œ$libibverbs-cos7-x86_64 ==22.4 *_1105”Œ#librdmacm-cos7-x86_64 ==22.4 *_1105”Œ#rdma-core-cos7-x86_64 ==22.4 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@q˜ r°hEJ­´ hFˆubh)”}”(hŒr-gofkernel”h#Œ2.1_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-gofkernel-2.1_1-r41hc72bb7e_0.tar.bz2”h+Œ 36b960cdc8dd0f2151e27890f81f0c19”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gofkernel-2.1_1-r41hc72bb7e_0.tar.bz2”h0Œ@1750322a7924ddca6927833c3d856b18599626de5f4948e9f951e530e1d0cbb3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-kernsmooth”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØa¥i³¥ãhEJD6 hFˆubh)”}”(hŒdvc-hdfs”h#Œ2.19.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$dvc-hdfs-2.19.0-pyhd8ed1ab_0.tar.bz2”h+Œ f930003c75065188fc5c36538e3ad53c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dvc-hdfs-2.19.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8667527f8b88657b0fa2c90af1c0874d756190c9848a423a825e6bed0a22ed58”h2NhNh3Œdvc”Œpyarrow >=1”Œpython >=3.8”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÁî¬r\hEMBBhFˆubh)”}”(hŒflask”h#Œ1.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ flask-1.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 63a883114dff04051d6da14614abad6c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/flask-1.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@caefc2382372dae76287b2f93c8f143be6a2f6fd1beb9a99d397bdd89885ca0b”h2NhNh3(Œclick >=5.1,<8.0”Œitsdangerous >=0.24,<2.0”Œjinja2 >=2.10.1,<3.0”Œpython >=3.7”Œwerkzeug >=0.15,<2.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØjN£G®hEJ* hFˆubh)”}”(hŒr-hues”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-hues-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 30cbde0631a4400cb19f76e4bf8039e1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hues-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@64eec9453f06402d85f6520657614a363ad49ffb459db2f47b373b2a07b947c3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-colorspace”†”h9hºh@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØÒi´Ý/hEJ	N hFˆubh)”}”(hŒlibsm-cos6-x86_64”h#Œ1.2.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-libsm-cos6-x86_64-1.2.1-h9d98e8f_1104.tar.bz2”h+Œ fa0d12009ad5b579c1a40187d8f960c0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libsm-cos6-x86_64-1.2.1-h9d98e8f_1104.tar.bz2”h0Œ@df142e2441775c769aa51ff0f006d95c0ed18118b2fa5f9282bdeaebb782b75d”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{ÞffhEMš†hFˆubh)”}”(hŒr-bmp”h#Œ0.3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ"r-bmp-0.3-r42hc72bb7e_1004.tar.bz2”h+Œ 92077724940031faca3ed3bdb48469b7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bmp-0.3-r42hc72bb7e_1004.tar.bz2”h0Œ@ae354073dc25071c06b1beea6b889b305a8c86faa8ebe095c5deb6c3a0887f05”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ9ŸK×
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_dvc-azure”h#Œ1.9.0”h%ja h'Khhh(h)hŒ_dvc-azure-1.9.0-1.tar.bz2”h+Œ e066807ea8ffb89bdbcc543aae68a181”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/_dvc-azure-1.9.0-1.tar.bz2”h0Œ@7d86b52596fa0347c02cd03fc4f36ce9aa56b98695567b600a4221847d981104”h2NhNh3Œ_dvc 1.9.0 py37hc8dfbb8_1”Œazure-storage-blob >=12.0”Œknack”‡”h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×åÍÂÂhEM5%hFˆubh)”}”(hŒdbt-core”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dbt-core-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 22503a174027ba429c5b52c6bce46a69”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dbt-core-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f6a97bcdf3bac714a364908b122ff5a3d824642c2719e5e170fd9390615d9bb3”h2NhNh3(Œagate >=1.6,<1.6.4”Œclick >=8,<9”Œcolorama >=0.3.9,<0.4.5”Œdbt-extractor 0.4.0”Œhologram 0.0.14”Œisodate >=0.6,<0.7”Œjinja2 2.11.3”Œlogbook >=1.5,<1.6”Œmashumaro 2.9”Œminimal-snowplow-tracker 0.0.2”Œnetworkx >=2.3,<3”Œpackaging >=20.9,<22.0”Œpython >=3.7”Œsqlparse >=0.2.3,<0.5”Œtyping-extensions >=3.7.4,<3.11”Œwerkzeug >=1,<3”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØlŸA’-hEJ±w
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r-magrittr”Œr-purrr”Œ	r-r.utils”Œr-rlang”Œ
r-testthat”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ”4c×
hEJY| hFˆubh)”}”(hŒr-mipfp”h#Œ3.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-mipfp-3.2.1-r41hc72bb7e_1.tar.bz2”h+Œ ca61f42a7d686428e3f47548d3610741”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mipfp-3.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@f730d0b8dc71f548235e0ef6084ba545edf40669a0d16e09f0034a5eb18cee18”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cmm”Œ
r-numderiv”Œr-rsolnp”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑœSn˜hEJ-
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ipywidgets”Œjoblib”Œmatplotlib-base”Œ
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six >=1.10”Œurllib3 >=1.15”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ»QI&{hEM›·hFˆubh)”}”(hŒlibselinux-devel-cos7-ppc64le”h#Œ2.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ7libselinux-devel-cos7-ppc64le-2.5-ha826a6f_1103.tar.bz2”h+Œ d2982c2a3b9d1f9b683f18c28bbdbd45”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-ppc64le-2.5-ha826a6f_1103.tar.bz2”h0Œ@2ada744f1cefb9b26706e8fc9fa73195e541459d3d32a239de02856c45822065”h2NhNh3Œ$libselinux-cos7-ppc64le ==2.5 *_1103”Œ(libsepol-devel-cos7-ppc64le >=2.5 *_1103”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Æ2ÙÍ`BhEJ` hFˆubh)”}”(hŒflake8-docstrings”h#Œ1.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,flake8-docstrings-1.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ dea85c9bee98ef38c90fa7348f7fa333”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/flake8-docstrings-1.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@45dcdcc7ab1c35ef6f61cfeb9d6cbdd522b0e02a410843311601b7a2c5cff72b”h2NhNh3Œ
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Apache-2.0”hBŒApache”hDGA×“D(ƒhEM9HhFˆubh)”}”(hŒmesa-libgbm-cos7-ppc64le”h#Œ18.3.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4mesa-libgbm-cos7-ppc64le-18.3.4-h9d98e8f_104.tar.bz2”h+Œ 4eaa5955c3ce7d7a0e8983836d9e26dc”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-ppc64le-18.3.4-h9d98e8f_104.tar.bz2”h0Œ@0a1c44c23b1f507d52a3d272dbe1bb01873837b657f5d585eb25b4e62d178f02”h2NhNh3Œ"libdrm-cos7-ppc64le >=2.4.83 *_104”Œ)mesa-libglapi-cos7-ppc64le ==18.3.4 *_104”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz†¸RhEM{ƒhFˆubh)”}”(hŒpolytope”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#polytope-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ bbdf1833bbb2e329254dce2e17e5c82c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/polytope-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0f233a415e57e1ca0cc776e97469e80c744b9c4c5459d4eb0622036b8e246efa”h2NhNh3(Œcvxopt >=1.2.5”Œnetworkx >=1.6”Œnumpy >=1.10.0”Œpython >=2.7”Œscipy >=0.18.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ?N+z^5hEMæ¢hFˆubh)”}”(hŒlibxkbcommon-devel-cos7-x86_64”h#Œ0.7.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:libxkbcommon-devel-cos7-x86_64-0.7.1-h9d98e8f_1104.tar.bz2”h+Œ d28a3d3c83bb79e0138a7979c840ec29”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-devel-cos7-x86_64-0.7.1-h9d98e8f_1104.tar.bz2”h0Œ@01a9aeb6de7d596a26d344a32986c8b03918baf2ae8c5daa20fe1533082f326b”h2NhNh3Œ'libxkbcommon-cos7-x86_64 ==0.7.1 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Óêë¥ãhEM!ÞhFˆubh)”}”(hŒr-rfutilities”h#Œ2.1_5”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-rfutilities-2.1_5-r40h6115d3f_1.tar.bz2”h+Œ d2f4cc496398c1af9b53f166b17e41b9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rfutilities-2.1_5-r40h6115d3f_1.tar.bz2”h0Œ@91c2b411e058a3e2c1b625d5e76ef0b2f50e32e67208fa38d054d70cc6ba7c8f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”Œr-randomforest >=4.6_12”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬_Ep¤hEJþÃ hFˆubh)”}”(hŒr-taxa”h#Œ0.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-taxa-0.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 988dfa60d61632a36e1957f7748b92e8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-taxa-0.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@28d80b8f83592b0a8c2757e572454e01cb4e7e5dbb24fb6016d2f0e9186a45f1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-dplyr”Œ
r-jsonlite”Œr-knitr”Œ
r-lazyeval”Œ
r-magrittr”Œr-r6”Œr-rlang”Œ	r-stringr”Œr-taxize”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ•[$ˆƒhEJz hFˆubh)”}”(hŒrb-simple_pid”h#Œ0.2.1”h%Œ
hd4c1694_0”h'K hhh(h)hŒ&rb-simple_pid-0.2.1-hd4c1694_0.tar.bz2”h+Œ 58bff840a6a51a39cc99afac59dfcce7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/rb-simple_pid-0.2.1-hd4c1694_0.tar.bz2”h0Œ@3919525f88fd69d96e889e581bc2381f6853482676de1f3f0537e0f5a5d15ed4”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×\ÇJ¼ÌÍhEM7hFˆubh)”}”(hŒ
r-codemeta”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-codemeta-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ b6412b93192e9a3af1f2089fe5db4d3c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-codemeta-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@9ae0b854fcf44887e3eb264f8cb0afb874e7b53cf019e152b34186e6bee449e4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-desc”Œr-jsonlite >=1.6”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØuúÎÙhEJU× hFˆubh)”}”(hŒ
r-sparsepp”h#Œ1.22”h%Œr41hd8ed1ab_2003”h'MÓhhh(h)hŒ(r-sparsepp-1.22-r41hd8ed1ab_2003.tar.bz2”h+Œ 239d695fec6503fe8156604cf39919aa”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepp-1.22-r41hd8ed1ab_2003.tar.bz2”h0Œ@daf8f8b113b37196e6bb069f0f2a6bcac8b482cb1f8be3f7844394edcaa42592”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAØ+rñªhEJýÒ hFˆubh)”}”(hŒr-rprojroot”h#Œ2.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-rprojroot-2.0.3-r42hc72bb7e_1.tar.bz2”h+Œ e36b235ae2028b131b091b483a0c1a5e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rprojroot-2.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@f23994dad4ddfffd3eb8a6f36c4e6cebb76a02a4765b6c92d21a4b28db53f01f”h2NhNh3Œr-backports”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÐ-û÷
=hEJÎÍ hFˆubh)”}”(hŒr-prettygraphs”h#Œ2.1.6”h%Œr36h6115d3f_2”h'Khhh(h)hŒ*r-prettygraphs-2.1.6-r36h6115d3f_2.tar.bz2”h+Œ 8c64ae5be1f9d5e6256ff0d5ae422671”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-prettygraphs-2.1.6-r36h6115d3f_2.tar.bz2”h0Œ@90f7dfe7d3943e6efc1203327a688f342214753a0f449f139f5a955ae9dfe1bb”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«õ®r°hEJ;w hFˆubh)”}”(hŒonnxconverter-common”h#Œ1.13.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0onnxconverter-common-1.13.0-pyhd8ed1ab_0.tar.bz2”h+Œ a1749e40ac6377dc5b3cde8fe683f5c9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/onnxconverter-common-1.13.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8320927bbbae5f9dd4ba2abb2c046f9629111ac49ef539f537876a57af54d2ed”h2NhNh3(Œnumpy”Œonnx”Œ	packaging”Œprotobuf”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÙ“S¶§ðhEJk hFˆubh)”}”(hŒlibxcomposite-cos6-x86_64”h#Œ0.4.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libxcomposite-cos6-x86_64-0.4.3-ha826a6f_1103.tar.bz2”h+Œ b0e901024e81d4fde576f71d1ad43c6b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-cos6-x86_64-0.4.3-ha826a6f_1103.tar.bz2”h0Œ@429cfaaabadd5dd0bfcbc6ad28154816b035d579c261a018358fe16835440321”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/%ÛohEMrBhFˆubh)”}”(hŒ	tinytimer”h#Œ0.0.0”h%Œpy_0”h'K hhh(h)hŒtinytimer-0.0.0-py_0.tar.bz2”h+Œ 938efa1534c6c8038c040218d681aa8f”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/tinytimer-0.0.0-py_0.tar.bz2”h0Œ@c6ce5b2e72279d1ee04bdb5c3a7536c77b59ea755021385a128596fa7403b4cb”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÖ¾¦#tzáhEM£!hFˆubh)”}”(hŒpyxb”h#Œ1.2.6”h%Œpy_0”h'K hhh(h)hŒpyxb-1.2.6-py_0.tar.bz2”h+Œ 5749a3b9d893eb58832ee820fb2ad987”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/pyxb-1.2.6-py_0.tar.bz2”h0Œ@0cb2a3a8a6c2fb80faa8e6ae7453481cf91d6a17501c3efecd10b8f062edd6c0”h2NhNh3Œpython”…”h9h?h@Œ
Apache 2.0”hEJÞ^ hFˆubh)”}”(hŒpciutils-libs-cos7-ppc64le”h#Œ3.5.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ6pciutils-libs-cos7-ppc64le-3.5.1-ha826a6f_1103.tar.bz2”h+Œ af965f176137a95ceb051b3046ce344a”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-ppc64le-3.5.1-ha826a6f_1103.tar.bz2”h0Œ@5220e0732830b95ed57d413d67128dc330d313901bad95f1d487d815b011612e”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ{#£çmhEM8›hFˆubh)”}”(hŒ	itermplot”h#Œ0.331”h%Œpyh95af2a2_0”h'K hhh(h)hŒ$itermplot-0.331-pyh95af2a2_0.tar.bz2”h+Œ 8b7b3e73f4d439bbad0ffb820cff8657”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/itermplot-0.331-pyh95af2a2_0.tar.bz2”h0Œ@9fe68c1ddd90bcaf1bc75a4280bf1d934277f46a6acb21ad5bcf44587dbc15ef”h2NhNh3(Œ
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python >=3”…”h9h?h@ŒMIT”hBŒMIT”hDGA×á0ÞVÙhEMt$hFˆubh)”}”(hŒblimpy”h#Œ2.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!blimpy-2.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 5f835d53d0a0f421a0db494a90d2a1c9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/blimpy-2.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@c08fc2c2043d4b4d651e01d9c4b6a787c256e19e89b73c0097452202c720c848”h2NhNh3(Œastropy”Œh5py”Œ
hdf5plugin”Œmatplotlib-base”Œnumpy >=1.19”Œpandas”Œpillow”Œpsutil”Œpyparsing 2.4.7”Œpython >=3.6”Œscipy”Œ
setuptools”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÝn¥ÈÄœhEJf2 hFˆubh)”}”(hŒpyopengl”h#Œ3.1.6”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ#pyopengl-3.1.6-pyh6c4a22f_0.tar.bz2”h+Œ d612d31290878525a6736f4cbc19085a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pyopengl-3.1.6-pyh6c4a22f_0.tar.bz2”h0Œ@ea716137f18fc678346fc8f2cc180d24a4eb018f34ad542450da02dcc772ab6c”h2NhNh3Œpython”…”h9h?h@ŒBSD-like”hDGAØ„á/uãThEJpo hFˆubh)”}”(hŒ
python-awg”h#Œ3.1.2”h%Œpyh1a4f876_0”h'K hhh(h)hŒ%python-awg-3.1.2-pyh1a4f876_0.tar.bz2”h+Œ 810f086570272af279be37ee858c438d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/python-awg-3.1.2-pyh1a4f876_0.tar.bz2”h0Œ@953b96ab1b19dd2bd60c6c397fbeb3e11cb13691ea27bd320eec424f66271eb6”h2NhNh3(Œlibawg 3.1.2 haf5c9bc_0”Œlibsistr 3.1.2 h8d01263_0”Œlibtestpoint 3.1.2 haf5c9bc_0”Œnumpy”Œpython >=3.6”Œ	root_base”Œscipy”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ—nD—ÎÙhEM³{hFˆubh)”}”(hŒwtforms-json”h#Œ0.3.3”h%Œpy_0”h'K hhh(h)hŒwtforms-json-0.3.3-py_0.tar.bz2”h+Œ c373b85cde8d6ecfeff5688eac8d4123”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/wtforms-json-0.3.3-py_0.tar.bz2”h0Œ@abf2889ec4a85bbd6dba18c2165133eae189dfcfeb9b32d89210ef76b077d82f”h2NhNh3Œpython”Œsix >=1.3.0”Œwtforms 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GPL (>= 2)”hBŒGPL3”hDGAØÒF^ŒýôhEJÁ hFˆubh)”}”(hŒrequests_cache”h#Œ0.4.13”h%Œpy_0”h'K hhh(h)hŒ"requests_cache-0.4.13-py_0.tar.bz2”h+Œ f823f9ba74df2c9a2fe0932501b41150”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/requests_cache-0.4.13-py_0.tar.bz2”h0Œ@b8511782d4dd6d6d165cbd968eba5cc51d70e1bb453c76b137f1c7791b42631d”h2NhNh3Œpython”Œrequests >=1.1.0”†”h9h?h@ŒBSD 2-clause”hBŒBSD”hDGA×¼adjhEMAhFˆubh)”}”(hŒr-mlmetrics”h#Œ1.1.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ*r-mlmetrics-1.1.1-r42hc72bb7e_1004.tar.bz2”h+Œ 8d99663c0f5748e89b13e4bf57a1f8ed”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-mlmetrics-1.1.1-r42hc72bb7e_1004.tar.bz2”h0Œ@89a3fbd16511aac4a6a121a9876cb9a16bf3f6c18883a68c9e67674cb77a314f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rocr”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑœ5
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r-lazyeval”Œ
r-magrittr”Œr-protolite >=1.8”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐþ,®ÙhEJÖ hFˆubh)”}”(hŒr-uptasticsearch”h#Œ0.4.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ,r-uptasticsearch-0.4.0-r42hc72bb7e_3.tar.bz2”h+Œ 68e680fc7c2d06bee7d95ddec1f6c6ed”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-uptasticsearch-0.4.0-r42hc72bb7e_3.tar.bz2”h0Œ@271722b80ef21d6eb64fc596c6240aa4c9e9c3266e3257e74b17e19bc1f08cae”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-futile.logger”Œr-httr”Œ
r-jsonlite”Œr-purrr”Œ	r-stringr”Œr-uuid”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÑÌ– hEJl¶ hFˆubh)”}”(hŒr-complexupset”h#Œ1.3.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-complexupset-1.3.3-r42hc72bb7e_1.tar.bz2”h+Œ ac294e261a277dbeccb4a35cb3266003”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-complexupset-1.3.3-r42hc72bb7e_1.tar.bz2”h0Œ@28cb6f2ca31008a8dca64e49d30666488eb2c8c5ba2203519484a4d8ceb9c883”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colorspace”Œ	r-ggplot2”Œr-patchwork”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ“´3Æ¨hEJ¥ö) hFˆubh)”}”(hŒrdma-core-devel-cos7-aarch64”h#Œ22.4”h%Œha826a6f_103”h'Kghhh(h)hŒ6rdma-core-devel-cos7-aarch64-22.4-ha826a6f_103.tar.bz2”h+Œ 68167d5c0069df1bc56344bbd9524fa8”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/rdma-core-devel-cos7-aarch64-22.4-ha826a6f_103.tar.bz2”h0Œ@ae12e2bb304af8422093a9e975083cb1030711ef11b091769b62b93b63b046f7”h2NhNh3(Œibacm-cos7-aarch64 ==22.4 *_103”Œ#libibumad-cos7-aarch64 ==22.4 *_103”Œ$libibverbs-cos7-aarch64 ==22.4 *_103”Œ#librdmacm-cos7-aarch64 ==22.4 *_103”Œ#rdma-core-cos7-aarch64 ==22.4 *_103”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,ëj~úhEJd³ hFˆubh)”}”(hŒr-getoptlong”h#Œ1.0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-getoptlong-1.0.5-r41hc72bb7e_1.tar.bz2”h+Œ 6f3840673b3ad3e9b53617b11e9f85d5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-getoptlong-1.0.5-r41hc72bb7e_1.tar.bz2”h0Œ@a953a5ec3a51375a77e5d0f33f432ed4b7c384f87d0bed05dd7f4138c6cf0712”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-globaloptions >=0.1.0”Œr-rjson”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑýJ®hEJ’n hFˆubh)”}”(hŒgtkmm24-cos7-ppc64le”h#Œ2.24.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0gtkmm24-cos7-ppc64le-2.24.5-h9b0a68f_105.tar.bz2”h+Œ 548b57e3d8732f85c57e3ed8e42947f5”h.Œ^https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos7-ppc64le-2.24.5-h9b0a68f_105.tar.bz2”h0Œ@94b07fdf98100822d4311c1270cc39215fb9a33b51b30a37788ecc7e60581da9”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@†¿í¡ËhEJ hFˆubh)”}”(hŒ
gmx_mmpbsa”h#Œ1.5.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'gmx_mmpbsa-1.5.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3e43ef4725ec656e10ebe82792ec7b4a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/gmx_mmpbsa-1.5.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@fe03dadf1dd4bc1432b5b31830083f57bb7b06773e70dda349cfabb22edcaa8a”h2NhNh3(Œ
ambertools”Œh5py”Œmatplotlib-base >=3.4.4”Œmpi4py >=3.1.3”Œpandas >=1.2.2”Œpython >=3.8”Œscipy >=1.6.1”Œseaborn >=0.11.1”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ†¨bNhEJ® hFˆubh)”}”(hŒr-pafr”h#Œ0.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-pafr-0.0.2-r41hc72bb7e_1.tar.bz2”h+Œ c05886f9b150172d391a5fb106d83873”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pafr-0.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@2b0ab67d1a84014d173d4d1102ee31243718581d553cf4187503868cac4a6ba0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ>9;÷ÏhEJâA hFˆubh)”}”(hŒr-pathdiagram”h#Œ0.1.9.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ+r-pathdiagram-0.1.9.1-r36h6115d3f_0.tar.bz2”h+Œ dbdc48392df0c6b62fd7b3864881ba4e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-pathdiagram-0.1.9.1-r36h6115d3f_0.tar.bz2”h0Œ@71143875eee490e6dd1c5facb33dce42a8ddcb2ba6267a1b8285ef0c3b3ae5fe”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-shape”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×xåãThEJ3¹ hFˆubh)”}”(hŒr-bgmm”h#Œ1.8.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-bgmm-1.8.5-r40hc72bb7e_0.tar.bz2”h+Œ 59c510378c3471ab8c7825475b916668”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bgmm-1.8.5-r40hc72bb7e_0.tar.bz2”h0Œ@c376817f3f122ba189f29c82d1e35083d2f97916ad513c21ba9885d4e5d34117”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-car”Œ
r-combinat”Œ	r-lattice”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØXÌ†Gß;hEJs´ hFˆubh)”}”(hŒ	r-tfisher”h#Œ0.2.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-tfisher-0.2.0-r40h6115d3f_1.tar.bz2”h+Œ 3cdf134ca78eff1c058aff0d1f812d6c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tfisher-0.2.0-r40h6115d3f_1.tar.bz2”h0Œ@fd53bb8968c24d6cb55a14a8b5b79842f8181a8f8fbbeec863d862f76820fc46”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-matrix”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬3æ%p¤hEJÇn hFˆubh)”}”(hŒfv3grid”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"fv3grid-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 63c8fdd64400ced253e72f28fe580a77”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/fv3grid-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c065f9681f951193ca3fcc03c1bed8ea206eb83ce734f5ee6cd2210d50fad772”h2NhNh3Œnetcdf4”Œpython >=3.6”Œxarray”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ‘qúC…hEJ6š®hFˆubh)”}”(hŒmesa-libglapi-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7mesa-libglapi-cos7-ppc64le-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ 51dd387d1adb3f3a3e139038298753f3”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-ppc64le-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@4fe60737b62ef644db16a0254ed8e7aeb139e2834d5e7d8cb3141bcfc3a2ea55”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@†ÁÚŸ¾hEM ·hFˆubh)”}”(hŒexpat-cos7-aarch64”h#Œ2.1.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.expat-cos7-aarch64-2.1.0-h9b0a68f_1105.tar.bz2”h+Œ 2dd11e1c9ae5433b4e3aab19c27bb919”h.Œ\https://conda.anaconda.org/conda-forge/noarch/expat-cos7-aarch64-2.1.0-h9b0a68f_1105.tar.bz2”h0Œ@51e22e1fb4386c00cbebbb1f488565488f8bcf13a0d5d00b987d12531ef86d8a”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡|+¶FhEJP hFˆubh)”}”(hŒr-smotefamily”h#Œ1.3.1”h%Œr41hc72bb7e_4”h'Khhh(h)hŒ)r-smotefamily-1.3.1-r41hc72bb7e_4.tar.bz2”h+Œ cbaee8f0d1a15fab6629555d1f0c6014”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-smotefamily-1.3.1-r41hc72bb7e_4.tar.bz2”h0Œ@7c03ac1f0ae216a7bf728db5f1f4137a4256ed0acad4a236041b60f329dfc9f0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dbscan”Œr-fnn”Œr-igraph”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑŽý/hEJî‹ hFˆubh)”}”(hŒ	rb-listen”h#Œ3.2.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ"rb-listen-3.2.1-hc42de5b_0.tar.bz2”h+Œ 721cb4041a28a56df75a7754dc563213”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-listen-3.2.1-hc42de5b_0.tar.bz2”h0Œ@154a883f3ac31d643dc67597578551878b0942518f3e904464765ef6409cb6e6”h2NhNh3(Œrb-rb-fsevent >=0.9.4,<1”Œrb-rb-inotify >=0.9.7,<1”Œrb-ruby_dep >=1.2,<2”Œruby >=2.6.5,<2.7.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×–SŒ÷ÏhEMZØhFˆubh)”}”(hŒpython-unicorn”h#Œ1.0.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)python-unicorn-1.0.3-pyhd8ed1ab_1.tar.bz2”h+Œ 123c32a3cc7351e3caa80adeeee03c7a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python-unicorn-1.0.3-pyhd8ed1ab_1.tar.bz2”h0Œ@af61b4f1819c0dc18643f19786e50812ca015e9e92ee33e15f770f44162e671a”h2NhNh3Œpython >=2.7”Œunicorn >=1.0.3,<1.0.4.0a0”†”h9h?h@Œ3LGPL-2.0-only AND GPL-2.0-only AND GPL-2.0-or-later”hDGAØ~í¡úñªhEM—hFˆubh)”}”(hŒsystemd-devel-cos7-aarch64”h#Œ219”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3systemd-devel-cos7-aarch64-219-h9d98e8f_104.tar.bz2”h+Œ 9b21558106bd33253f48d882f31c8b42”h.Œahttps://conda.anaconda.org/conda-forge/noarch/systemd-devel-cos7-aarch64-219-h9d98e8f_104.tar.bz2”h0Œ@74b574d7eac5de2379516826f15a86196d2fc442bd8f4ae1e010f77c32abf9d7”h2NhNh3Œ systemd-cos7-aarch64 ==219 *_104”Œ%systemd-libs-cos7-aarch64 ==219 *_104”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT”hBŒLGPL”hDGA×ØÏSÑÊÁhEJîÜ hFˆubh)”}”(hŒterminaltables”h#Œ3.1.0”h%Œpy_0”h'K hhh(h)hŒ!terminaltables-3.1.0-py_0.tar.bz2”h+Œ 4fc8bb7e1f4a025650b8bef923525345”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/terminaltables-3.1.0-py_0.tar.bz2”h0Œ@9e805c4767c063047928ceb1945b1046c8d64317a866fc88e3e5e22b507c6173”h2NhNh3Œcolorama”Œpython”Œ	termcolor”‡”h9h?h@ŒMIT”hBŒMIT”hEM`4hFˆubh)”}”(hŒ	r-metrics”h#Œ0.1.4”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ(r-metrics-0.1.4-r40h6115d3f_1002.tar.bz2”h+Œ 6ef05879849220d67191bc3f7c124761”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-metrics-0.1.4-r40h6115d3f_1002.tar.bz2”h0Œ@fb56e7a9567c22f9362827295a897b86201ce117e9d2530d86b2f228b70e12fe”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×¬	‘®‡+hEJ7` hFˆubh)”}”(hŒr-mpm”h#Œ1.0_23”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-mpm-1.0_23-r42hc72bb7e_1.tar.bz2”h+Œ 0a8a5f1237c45a1be71a0c646831a29e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mpm-1.0_23-r42hc72bb7e_1.tar.bz2”h0Œ@f28dab39f023dc81102de06ff2544fc12bcc98eea89b267612b509ae5a19c2d2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-kernsmooth”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒMBo®hEJT±	 hFˆubh)”}”(hŒwrighttools”h#Œ3.4.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&wrighttools-3.4.6-pyhd8ed1ab_0.tar.bz2”h+Œ 62e8507081d7d655182ee48460219223”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/wrighttools-3.4.6-pyhd8ed1ab_0.tar.bz2”h0Œ@14f1b074d0eddfb4385ed92db3a48263333a47fef4a5724d1765a0f32ae62266”h2NhNh3(Œh5py >=2.7.0”Œimageio”Œmatplotlib-base >=3.3”Œnumexpr”Œnumpy >=1.15.0”Œpint”Œpython >=3.6”Œpython-dateutil”Œscipy”Œtidy_headers >=1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ»LxÕhEJËº hFˆubh)”}”(hŒr-matrix.utils”h#Œ0.9.8”h%Œr35h6115d3f_0”h'K hhh(h)hŒ*r-matrix.utils-0.9.8-r35h6115d3f_0.tar.bz2”h+Œ 7241adcc8b3e4ece7a76577a3eefd6ee”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-matrix.utils-0.9.8-r35h6115d3f_0.tar.bz2”h0Œ@4d557e88762e4ad361ba3522179d9294b6f58285d66f81b0abfac158cfd94b4a”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-grr”Œr-matrix”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×•×´ÓohEJÄe hFˆubh)”}”(hŒ!sagemaker-mxnet-serving-container”h#Œ1.5.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ<sagemaker-mxnet-serving-container-1.5.5-pyhd8ed1ab_0.tar.bz2”h+Œ 4e462fc6492ec81d0394479bc2e6c154”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/sagemaker-mxnet-serving-container-1.5.5-pyhd8ed1ab_0.tar.bz2”h0Œ@023163e1e8f79e10507be83ecedd33f77d8a2b3542e20e0ed7c7c1e9bac946a6”h2NhNh3Œpython >=3.6”Œretrying”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¢î­™xÕhEMG>hFˆubh)”}”(hŒlibdrm-devel-cos7-x86_64”h#Œ2.4.97”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libdrm-devel-cos7-x86_64-2.4.97-h9b0a68f_1105.tar.bz2”h+Œ 0ebb73530283cb817a38ca5ef7d4ce1a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-x86_64-2.4.97-h9b0a68f_1105.tar.bz2”h0Œ@ccea1461467bcbdb72226aafa4a40bc9540806ff6dc3c8e33e7e5d5857fafc19”h2NhNh3Œ*kernel-headers-cos7-x86_64 >=2.6.27 *_1105”Œ"libdrm-cos7-x86_64 ==2.4.97 *_1105”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@lð£çmhEJZ hFˆubh)”}”(hŒr-weatherdata”h#Œ0.4.1”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ,r-weatherdata-0.4.1-r40ha770c72_1002.tar.bz2”h+Œ ba6c2571590eec9024e58e4468445b21”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-weatherdata-0.4.1-r40ha770c72_1002.tar.bz2”h0Œ@04224e4f949423e581d5c71356d433112fd84ed3d459e5cf3afab5750208ffb3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-plyr”†”h9hºh@ŒGPL”hBŒGPL”hDGAØ+Ôåó¶hEJèh hFˆube(h)”}”(hŒr-kableextra”h#Œ1.3.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-kableextra-1.3.4-r40hc72bb7e_0.tar.bz2”h+Œ dc3af75713b3974473e4e23bd07b1324”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-kableextra-1.3.4-r40hc72bb7e_0.tar.bz2”h0Œ@943140e561094bb4831ee0c2fa5264df4be06f8c5ca189a90dfdf191784507cc”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-glue”Œr-htmltools”Œr-knitr >=1.16”Œ
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GPL (>= 3)”hBŒGPL3”hDGA×LWn\jhEM.§hFˆubh)”}”(hŒr-homologene”h#Œ1.4.68.19.3.27”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ1r-homologene-1.4.68.19.3.27-r41hc72bb7e_0.tar.bz2”h+Œ 75e0ea630adc6f4fcec20d287011d57b”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-homologene-1.4.68.19.3.27-r41hc72bb7e_0.tar.bz2”h0Œ@f0adb37d97eda9885d3c173bd641a889a10cddf0dc0ca72ace99b9fdec0de9ba”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.4”Œr-magrittr >=1.5”Œr-purrr >=0.2.5”Œr-r.utils >=2.8.0”Œr-readr >=1.3.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØa« S…hEJ‡/; hFˆubh)”}”(hŒ
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r-magrittr”Œ
r-mapplots”Œr-padr”Œr-rcolorbrewer”Œr-scales”Œr-sm”Œr-sp”Œr-specsverification”Œr-transformer >=2.0.0”Œr-verification”Œ	r-vioplot”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢6v,¬hEJf,hFˆubh)”}”(hŒr-beepr”h#Œ1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-beepr-1.3-r40hc72bb7e_0.tar.bz2”h+Œ a9ea4179db03147398205be2ae41418e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-beepr-1.3-r40hc72bb7e_0.tar.bz2”h0Œ@21384b0f81793c7cd32d026abdbdbcffb83365edd07f326987c45165a524cdf3”h2NhNh3Œr-audio”Œr-base >=4.0,<4.1.0a0”Œr-stringr >=1.0.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØTþ	 ÄœhEJçß hFˆubh)”}”(hŒlibxml2-cos6-x86_64”h#Œ2.7.6”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libxml2-cos6-x86_64-2.7.6-hdf0574f_1102.tar.bz2”h+Œ e020144a5cd8ed2970340817f1b35ce1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos6-x86_64-2.7.6-hdf0574f_1102.tar.bz2”h0Œ@73582c2eeae069fc1cd3959a50fac44115388ba5e6b6f4ec310d4a543a9c70c4”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åik€QìhEJ¦J hFˆubh)”}”(hŒbackports_abc”h#Œ0.5”h%Œpy_1”h'Khhh(h)hŒbackports_abc-0.5-py_1.tar.bz2”h+Œ 6ac8cc52b55791b066dc43469bbaf8f2”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/backports_abc-0.5-py_1.tar.bz2”h0Œ@83f483e86d1969579b15e2f1bacaa92be93137f95bf15784628420ce4341a12b”h2NhNh3Œpython”…”h9h?h@ŒPSF 2”hDGAÖÛjòáHhEMžhFˆubh)”}”(hŒ	r-details”h#Œ0.3.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-details-0.3.0-r41hc72bb7e_1.tar.bz2”h+Œ 89c5293cf4217952f4c9b74963362c76”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-details-0.3.0-r41hc72bb7e_1.tar.bz2”h0Œ@17fb5dfaae041667cd775b1908c725f8ceffe14c13811f074c1845328768f0f3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clipr”Œr-desc”Œr-htmltools”Œr-httr”Œr-knitr”Œ
r-magrittr”Œr-png”Œr-withr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ‹y6§ðhEJÎ hFˆubh)”}”(hŒr-rmio”h#Œ0.4.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-rmio-0.4.0-r41hc72bb7e_1.tar.bz2”h+Œ 53398f9966bb02c80094cdfdd4c14874”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rmio-0.4.0-r41hc72bb7e_1.tar.bz2”h0Œ@a22d5d61aa288f839afa9ece1f38a82f17f41fd9f101dd658252190e91728dd6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-bigassertr”Œr-ff”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑLÊÍ`BhEMShFˆubh)”}”(hŒreindent”h#Œ3.5.1”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ#reindent-3.5.1-pyh9f0ad1d_1.tar.bz2”h+Œ c574dcde08b7a8ef14623933c3557b9a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/reindent-3.5.1-pyh9f0ad1d_1.tar.bz2”h0Œ@b33f90eb545a8d87e0a1d88254fde5d4c6cef65f9ca7836ce5f4ab34a0b686e4”h2NhNh3Œpython”…”h9h?h@ŒPublic Domain”hBŒPUBLIC-DOMAIN”hDGA×á&0hEM°%hFˆubh)”}”(hŒperl-text-csv”h#Œ2.02”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ+perl-text-csv-2.02-pl5321hd8ed1ab_0.tar.bz2”h+Œ ce28078bf6b7ccde9692cd48a006f7b1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/perl-text-csv-2.02-pl5321hd8ed1ab_0.tar.bz2”h0Œ@486a472df8adab2278c5fb3399345227e9a2cb361d7d54482dfcd47b69464117”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-test-harness”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÌ‚¥{SøhEJµ3 hFˆubh)”}”(hŒlibxscrnsaver-cos6-x86_64”h#Œ1.2.2”h%Œha826a6f_103”h'Kghhh(h)hŒ4libxscrnsaver-cos6-x86_64-1.2.2-ha826a6f_103.tar.bz2”h+Œ 612afddad4ef3b6e6b89be18d92c0e7d”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos6-x86_64-1.2.2-ha826a6f_103.tar.bz2”h0Œ@3c0964b960a56f8e7e07893cacf7ddace61f572b35ea44b6cce8d982d9b62067”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/M‡hEMQHhFˆubh)”}”(hŒvasppy”h#Œ0.7.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#vasppy-0.7.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 95c2227f9bc77bf17239dc484dd7dd7f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/vasppy-0.7.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@91122e11adea1aa7dd7971c56f4aab453308975825a2bbf179141a977ac3d3d3”h2NhNh3(Œcodeclimate-test-reporter”Œcoverage”Œfortranformat”Œlxml”Œmonty”Œnumpy >=1.16.2”Œpandas”Œpymatgen >=2022.0.0”Œpython >=3.6”Œpyyaml”Œscipy >=1.4.1”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØH$O|¬hEJB hFˆubh)”}”(hŒ
r-convertr”h#Œ0.2.0”h%Œr41ha770c72_0”h'K hhh(h)hŒ&r-convertr-0.2.0-r41ha770c72_0.tar.bz2”h+Œ d3ced560480fd1353126021badc51ff1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-convertr-0.2.0-r41ha770c72_0.tar.bz2”h0Œ@1985d76e3be3e5d57effae1765cc326b6088cceb0d0bbb6a6f0a1c1eef541110”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œr-transformer >=1.7.2”Œ
r-udunits2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡¦%hEJÜª hFˆubh)”}”(hŒpygments_pytest”h#Œ2.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pygments_pytest-2.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0d5f63aa5e75a050207d8e2b04c30a3a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pygments_pytest-2.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@38e402e87ec88bd84dc24f6fa6178a22bb189c3755cb6ce647ddaecc3656947d”h2NhNh3Œpygments”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÖ/£×hEMó%hFˆubh)”}”(hŒr-ggsn”h#Œ0.5.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ"r-ggsn-0.5.0-r41hc72bb7e_3.tar.bz2”h+Œ 43fab946dabd212805f0918ec23bc222”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggsn-0.5.0-r41hc72bb7e_3.tar.bz2”h0Œ@e5b30d5bf9a851963782391614f6979516c85e8022f2fa3e145431a155c886b4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggmap”Œ	r-ggplot2”Œ
r-maptools”Œr-png”Œr-sf”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒqOÀ1'hEJnÄ
 hFˆubh)”}”(hŒr-assertthat”h#Œ0.2.1”h%Œr351h6115d3f_0”h'K hhh(h)hŒ)r-assertthat-0.2.1-r351h6115d3f_0.tar.bz2”h+Œ fbc3462ca9a875fbb86ca83542c4045d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-assertthat-0.2.1-r351h6115d3f_0.tar.bz2”h0Œ@f3407fedecf340d64e336b466a44faeca6357ea2247053b3b87cdf20dd724866”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×$í
ÞéyhEJÅ hFˆubh)”}”(hŒnanoid”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!nanoid-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6d2df9cebb0c5e19e2809c2e34d0e470”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/nanoid-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@350e4eca1ae26eb67fe216df1f0ee4594e5b718fb9352de57132e9c8679ca68b”h2NhNh3Œ
python >=2”…”h9h?h@ŒMIT”hBŒMIT”hDGAØØQ¶hEMÏ$hFˆubh)”}”(hŒmesa-libegl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œha826a6f_103”h'Kghhh(h)hŒ:mesa-libegl-devel-cos7-ppc64le-18.3.4-ha826a6f_103.tar.bz2”h+Œ 4c2d3d3a13e90d90f7806ec05e845192”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-ppc64le-18.3.4-ha826a6f_103.tar.bz2”h0Œ@9a642c0c9deb7fb6cf80f494608411342a49c54408c36693bea754c9b4336e29”h2NhNh3Œ*mesa-khr-devel-cos7-ppc64le ==18.3.4 *_103”Œ'mesa-libegl-cos7-ppc64le ==18.3.4 *_103”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1Çl9XhEMMhFˆubh)”}”(hŒr-drat”h#Œ0.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-drat-0.2.3-r41hc72bb7e_0.tar.bz2”h+Œ 067f79faa78a92d72d49b4d0e51bfbd9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-drat-0.2.3-r41hc72bb7e_0.tar.bz2”h0Œ@1f8fe278c855d5a34f6c1b7fce048ef54fc25c9eb1812b2934acadeb63595131”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ•Ô˜òJhEJ†N hFˆubh)”}”(hŒr-assertive.datetimes”h#Œ0.0_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ1r-assertive.datetimes-0.0_3-r41hc72bb7e_1.tar.bz2”h+Œ 5bb753fb2a7eb422b13a53272325e727”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-assertive.datetimes-0.0_3-r41hc72bb7e_1.tar.bz2”h0Œ@a679e67b638857697a3c31039b5806b3b509f559c9722f96ee894551a1225007”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=4.1,<4.2.0a0”‡”h9hºh@Œ
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ipyradiant”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%ipyradiant-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ df56f05c16536d382ead980fee273fec”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ipyradiant-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2d7090b5a1616dea7e1a2b77e673ac2b75adc1aa5b3712e38c7e926781dc9802”h2NhNh3(Œbokeh”Œ
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r-solarius”h#Œ0.3.0.2”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ+r-solarius-0.3.0.2-r41hc72bb7e_1003.tar.bz2”h+Œ 72bb20de0334504400b9453685f9e38f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-solarius-0.3.0.2-r41hc72bb7e_1003.tar.bz2”h0Œ@4fdbaf49aeb85b63e3c4a74a6e773eb8c5ca503316c83a3d5fcc8a74f7501483”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”Œr-plyr >=1.8.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒøgKÇhEJl¨
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r-magrittr”Œ	r-pbapply”Œr-rcppeigen”Œr-rcurl”Œr-signal”Œr-transformer”Œr-verification”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡æñå¸hEJ×HqhFˆubh)”}”(hŒalsa-lib-devel-cos7-ppc64le”h#Œ1.1.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7alsa-lib-devel-cos7-ppc64le-1.1.8-h9b0a68f_1105.tar.bz2”h+Œ f932ee2de153bfe6a9e3f212b403250b”h.Œehttps://conda.anaconda.org/conda-forge/noarch/alsa-lib-devel-cos7-ppc64le-1.1.8-h9b0a68f_1105.tar.bz2”h0Œ@db060d056dde0037674ce47e02d83b9c314d5bbb113454092366702c22270ce9”h2NhNh3Œ$alsa-lib-cos7-ppc64le ==1.1.8 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@ÏÃSøhEJnô hFˆubh)”}”(hŒnapari-multitask”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+napari-multitask-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 106d2aa7f9e3aff3bf1c783e1ec85f09”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/napari-multitask-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@7a4f11b93c71978cb713a4a9627249fb8b3d2ef4a00ad806e89df7f624a5c866”h2NhNh3Œmagic-class >=0.5.11”Œnapari”Œpython >=3.8”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…òm°QìhEM?'hFˆubh)”}”(hŒsendgrid”h#Œ6.0.5”h%Œpy_0”h'K hhh(h)hŒsendgrid-6.0.5-py_0.tar.bz2”h+Œ 7437cf1da89c0f1148616cc68f569b1a”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/sendgrid-6.0.5-py_0.tar.bz2”h0Œ@42b4188af5be0b906c4761752ee21bbeed3a88da1374615af54e6dca600bb9bf”h2NhNh3(Œpython”Œpython_http_client >=3.0”Œpyyaml”Œsix”Œwerkzeug”t”h9h?h@ŒMIT”hBŒMIT”hDGA×7àS%p¤hEM·«hFˆubh)”}”(hŒatk-cos7-aarch64”h#Œ2.28.1”h%Œha826a6f_103”h'Kghhh(h)hŒ,atk-cos7-aarch64-2.28.1-ha826a6f_103.tar.bz2”h+Œ 790f52acaf3e6689ebdfdd533f900838”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos7-aarch64-2.28.1-ha826a6f_103.tar.bz2”h0Œ@f4ce700318bfc1335baeba9c923d596a9b3aaa30dc7c6e30bf862ea898e42446”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/Ÿ¾whEJÞ3 hFˆubh)”}”(hŒpoyo”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒpoyo-0.5.0-py_0.tar.bz2”h+Œ f7e49e76e34d946c607757ad68e6b3f2”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/poyo-0.5.0-py_0.tar.bz2”h0Œ@85442301a394696951a8f35ea470d73ed9fd4fc82e759c1b21b9370bdd7fc4d4”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×NÔ3Xr°hEM56hFˆubh)”}”(hŒ	r-ppclust”h#Œ1.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-ppclust-1.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 7433f5242b4ff09bc41f04789693c10c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ppclust-1.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@1baea6c940f0ed0e24cd878538a697c9a464e59decd4c0cf5c49dd9023f86347”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-inaparc”Œr-mass”‡”h9hºh@Œ
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python >=3”Œrasterio”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ_M­¡ËhEMXyhFˆubh)”}”(hŒwerkzeug”h#Œ2.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8e69568592e552919201f730b01a58c2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412”h2NhNh3Œmarkupsafe >=2.1.1”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¼šöhEJeâ hFˆubh)”}”(hŒdefcon”h#Œ0.10.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"defcon-0.10.2-pyhd8ed1ab_0.tar.bz2”h+Œ bc24d9a6601c88f070f78f7cced63e24”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/defcon-0.10.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6939304377812ea48f30239cd82e0d9c3a70eec4a43ddb59092cbb3b71daf56f”h2NhNh3Œfonttools >=4.10.0”Œfs”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ½uæ%¸hEJZ hFˆubh)”}”(hŒblessed”h#Œ1.19.1”h%Œpyhe4f9e05_2”h'Khhh(h)hŒ#blessed-1.19.1-pyhe4f9e05_2.tar.bz2”h+Œ 65486376a55a80933e5dd95681ddd8b8”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/blessed-1.19.1-pyhe4f9e05_2.tar.bz2”h0Œ@9d5b1f751adfe6d77fa8a088417a3aed716a1f727c0fd0230195246362b9d562”h2NhNh3(Œ__unix”Œpython >=3.8”Œsix >=1.9.0”Œwcwidth >=0.1.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÕHÂ^5hEM«ÉhFˆubh)”}”(hŒ	jsonpatch”h#Œ1.32”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#jsonpatch-1.32-pyhd8ed1ab_0.tar.bz2”h+Œ 09150b51b0528a31a0f6500b96fdde82”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jsonpatch-1.32-pyhd8ed1ab_0.tar.bz2”h0Œ@d87fd8da2d3327744821b6b1d1e5b76e4077224fb626ce02d6623a1bc6ee2563”h2NhNh3Œjsonpointer >=1.9”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØT{£ÓhEM.9hFˆubh)”}”(hŒsemver”h#Œ2.13.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"semver-2.13.0-pyh9f0ad1d_0.tar.bz2”h+Œ 2cab9f3a9683cb40a2176ccaf76e66c6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/semver-2.13.0-pyh9f0ad1d_0.tar.bz2”h0Œ@673ef5ef04cef60c3584b1d9b81024646b9d9a4c50749356c7ba5cede755e61d”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×åŸ5jhEM`=hFˆubh)”}”(hŒr-gofkernel”h#Œ2.1_1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-gofkernel-2.1_1-r40hc72bb7e_0.tar.bz2”h+Œ 4157f1bbb856687d9a218e1a4f3c43da”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gofkernel-2.1_1-r40hc72bb7e_0.tar.bz2”h0Œ@8c8b553933c0e0facdbe5d3883c66be9920b048b796fb68fb5453943976b9a90”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-kernsmooth”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØa¥m{hEJá5 hFˆubh)”}”(hŒlibrdmacm-cos6-x86_64”h#Œ1.0.21”h%Œha826a6f_1103”h'MOhhh(h)hŒ2librdmacm-cos6-x86_64-1.0.21-ha826a6f_1103.tar.bz2”h+Œ dfd3ada511b6fd03a1eb6ea309912658”h.Œ`https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos6-x86_64-1.0.21-ha826a6f_1103.tar.bz2”h0Œ@9b23b88a961cbf97a47f4a372d084b0fd2ce02386d99ee67a94ba2aa5e0876ed”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Æ/}‘XhEMµûhFˆubh)”}”(hŒ
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tensorflow”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ-ßcûçmhEMÑ†hFˆubh)”}”(hŒlibxau-devel-cos7-aarch64”h#Œ1.0.8”h%Œ
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jsonschema”Œnumpy”Œpandas”Œpython >=3.6”Œscikit-learn”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÔ=˜ å`hEJÆ hFˆubh)”}”(hŒsysroot_linux-64”h#Œ2.12”h%Œhe073ed8_14”h'Khhh(h)hŒ)sysroot_linux-64-2.12-he073ed8_14.tar.bz2”h+Œ 78c8c32c25226732442d101d4fe1d785”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.12-he073ed8_14.tar.bz2”h0Œ@1986dffad2c5dec97bd4671cfb78066e2698d3537932a8ec1d5d5e90858fd550”h2NhNh3Œ*kernel-headers_linux-64 2.6.32 he073ed8_14”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ=ÂÅ?}hEJ“ÏøhFˆubh)”}”(hŒoic”h#Œ0.15.1”h%Œpy_0”h'K hhh(h)hŒoic-0.15.1-py_0.tar.bz2”h+Œ 19cd154bf734c103e0a4afb2290770a6”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/oic-0.15.1-py_0.tar.bz2”h0Œ@0def35b18818f00459f833612190b1709eb5edd5316bb6f8c9a5240961b46694”h2NhNh3(Œ	alabaster”Œbeaker”Œfuture”Œmako”Œpycryptodomex”Œpyjwkest >=1.3.6”Œ	pyopenssl”Œpython”Œrequests”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ƒG»…hEJÄ hFˆubh)”}”(hŒfribidi-cos7-ppc64le”h#Œ1.0.2”h%Œha826a6f_103”h'Kghhh(h)hŒ/fribidi-cos7-ppc64le-1.0.2-ha826a6f_103.tar.bz2”h+Œ 29c5dec3eca201fd7c75d5ab4bcfe7c2”h.Œ]https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-ppc64le-1.0.2-ha826a6f_103.tar.bz2”h0Œ@99aaa6623485e2f395fbe0e12f241a92e446c0a2d26d6b1ab45a9fd3c1d6b5bc”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGA×Æ/}yûçhEJy; hFˆubh)”}”(hŒattrdict”h#Œ2.0.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#attrdict-2.0.1-pyhd8ed1ab_1.tar.bz2”h+Œ bb9a17751c0ce079e4585e61338fa14d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/attrdict-2.0.1-pyhd8ed1ab_1.tar.bz2”h0Œ@859b783fb4da7a4e35a31be7b014dcdb1000d3a1e9c57bf889d2cbfadd65a221”h2NhNh3Œpython >=3.6,<3.10”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÆ8jùº^hEMÿ0hFˆubh)”}”(hŒsuds-py3”h#Œ1.4.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%suds-py3-1.4.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ da3d890c4910244e0b8c451aab4c7edc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/suds-py3-1.4.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6b1eeb4cc7435f97d2199b5b06a06b80c706e30699220ac26aaec3d25b2e4d85”h2NhNh3Œpython >=3.6,<4”…”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØdçÅ' hEJ0. hFˆubh)”}”(hŒr-dbi”h#Œ1.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-dbi-1.1.3-r41hc72bb7e_1.tar.bz2”h+Œ 3ddc2ffd6fee658a9d63528b5a67ca13”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dbi-1.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@dddb196faf8a6ecac00e6a148e119b0f7902a7877a5fd572217a74376fcd4326”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØÐ5ïMVhEJä hFˆubh)”}”(hŒ	datacache”h#Œ1.1.5”h%Œpy_0”h'K hhh(h)hŒdatacache-1.1.5-py_0.tar.bz2”h+Œ c713c0c6df208f3ae91cbc378b0c5d83”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/datacache-1.1.5-py_0.tar.bz2”h0Œ@bd8d0c3dfe289fac591ceb8023359b2eb73cd1a3ebc1ed269a3ba9d6d2365e65”h2NhNh3(Œappdirs >=1.4.0”Œbiopython >=1.65”Œmock”Œpandas >=0.15.2”Œprogressbar33 >=2.4”Œpython”Œrequests >=2.5.1”Œtypechecks >=0.0.2”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAÖØáµë33hEMØGhFˆubh)”}”(hŒlibibverbs-cos7-aarch64”h#Œ22.4”h%Œha826a6f_103”h'Kghhh(h)hŒ1libibverbs-cos7-aarch64-22.4-ha826a6f_103.tar.bz2”h+Œ 1ffab2380bc52cdcf8292628328af98e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-aarch64-22.4-ha826a6f_103.tar.bz2”h0Œ@f35c65c4dade6727796bea6225735c92f57b56d5c0560adb4046e610a1de10dc”h2NhNh3Œ#rdma-core-cos7-aarch64 ==22.4 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,¶¯\)hEJ©W hFˆubh)”}”(hŒ	dj-static”h#Œ0.0.6”h%Œpy_2”h'Khhh(h)hŒdj-static-0.0.6-py_2.tar.bz2”h+Œ a083e7b1c7378c98a89870c356a20bd0”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/dj-static-0.0.6-py_2.tar.bz2”h0Œ@d277ab6856e6b30fc6c69fd53de951552949d3ad3af527771468fb14eb4a235c”h2NhNh3Œpython”Œstatic”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hEMyhFˆubh)”}”(hŒ
r-grplasso”h#Œ0.4_7”h%Œr40ha770c72_0”h'K hhh(h)hŒ&r-grplasso-0.4_7-r40ha770c72_0.tar.bz2”h+Œ 2932eadf2f8b937c5962d3036801e893”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-grplasso-0.4_7-r40ha770c72_0.tar.bz2”h0Œ@ce8cc0d9338bf8c7471fc6db4ff38725309ed82ce97982c77c886c6c994dade7”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAØ+é¨ÔþhEJ<f hFˆubh)”}”(hŒ	r-superpc”h#Œ1.12”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-superpc-1.12-r40hc72bb7e_0.tar.bz2”h+Œ 6ac80e944bab651eadf0e275aef175fe”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-superpc-1.12-r40hc72bb7e_0.tar.bz2”h0Œ@b2952fb3f4faa76780119ee5a684521a1abaec52f63001dd4d0c8c61841c2e58”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-survival”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+îˆõÃhEJF© hFˆubh)”}”(hŒdjango-mfa2”h#Œ2.4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ&django-mfa2-2.4.0-pyhd8ed1ab_1.tar.bz2”h+Œ 5da86c89d02b9ff7552b347141d632c3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/django-mfa2-2.4.0-pyhd8ed1ab_1.tar.bz2”h0Œ@e555c91ae85758dd43aca020c2f327dc4cd0e23f6195626accc1254202f75dec”h2NhNh3(Œdjango”Œ
fido2 <1.0”Œ	jsonfield”Œ
jsonlookup”Œpyotp”Œpython >=3.6”Œpython-jose”Œpython-u2flib-server”Œ
simplejson”Œ	ua-parser”Œuser-agents”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ©Þ?ÂhEMÐÕhFˆubh)”}”(hŒr-radix”h#Œ0.6”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ!r-radix-0.6-r41hc72bb7e_2.tar.bz2”h+Œ ad97a3e5df857e52544c3d32b0bb2642”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-radix-0.6-r41hc72bb7e_2.tar.bz2”h0Œ@3c2bd7d660142479237d312cbf579d8163487dc1874787c41f22e329aaac0772”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downloader”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œr-png”Œ
r-progress”Œr-rmarkdown >=1.10”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
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Apache-2.0”hBŒApache”hDGA×Zƒ‹£"ÑhEJPˆ hFˆubh)”}”(hŒseir”h#Œ0.2.3”h%Œpyhd3deb0d_1”h'Khhh(h)hŒseir-0.2.3-pyhd3deb0d_1.tar.bz2”h+Œ 115f49836140f17969bed584ca14753f”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/seir-0.2.3-pyhd3deb0d_1.tar.bz2”h0Œ@1053200d3e2af216cd8f55f75902d1f5a04bd78f817a1c6e7b601c81661abb5c”h2NhNh3(Œclick”Œmatplotlib-base”Œnumpy”Œpandas”Œpython”Œscipy >=1.4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ#^D(öhEMiOhFˆubh)”}”(hŒr-riingo”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-riingo-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ 7cbc2282f6df4f38a01581fb525bf910”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-riingo-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@e18e541cba3880bcefba2e23f9faac1a6d86e7b9c66f73a0f013ab8ceef2fda8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crayon >=1.3.4”Œr-dplyr >=0.7.4”Œr-glue >=1.3.1”Œr-httr >=1.3.1”Œr-jsonlite >=1.5”Œr-purrr >=0.2.4”Œr-rlang >=0.2.0”Œr-tibble >=1.4.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+“G bNhEJ¡ù hFˆubh)”}”(hŒriskfolio_lib”h#Œ3.3.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ(riskfolio_lib-3.3.0-pyh6c4a22f_0.tar.bz2”h+Œ ce20c6ca8508d88e150c0715d9b533c5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/riskfolio_lib-3.3.0-pyh6c4a22f_0.tar.bz2”h0Œ@55f388a7082a3afed20deb706ee5ec3727e9b810ad72e41d8f028e975e9a8448”h2NhNh3Œpython”Œ riskfolio-lib 3.3.0 pyhd8ed1ab_0”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¾Ÿ^éyhEMæhFˆubh)”}”(hŒlibglvnd-devel-cos7-aarch64”h#Œ1.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7libglvnd-devel-cos7-aarch64-1.0.1-h9b0a68f_1105.tar.bz2”h+Œ 0392e23b04f19a3e9e55ce1260e7af1a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libglvnd-devel-cos7-aarch64-1.0.1-h9b0a68f_1105.tar.bz2”h0Œ@4223d929e2e9e01bde04e36e7eb26143f77bfee4e79e0462249047d326f2f0a4”h2NhNh3(Œ/libglvnd-core-devel-cos7-aarch64 ==1.0.1 *_1105”Œ$libglvnd-cos7-aarch64 ==1.0.1 *_1105”Œ(libglvnd-egl-cos7-aarch64 ==1.0.1 *_1105”Œ)libglvnd-gles-cos7-aarch64 ==1.0.1 *_1105”Œ(libglvnd-glx-cos7-aarch64 ==1.0.1 *_1105”Œ+libglvnd-opengl-cos7-aarch64 ==1.0.1 *_1105”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ@”7OßhEMˆ9hFˆubh)”}”(hŒlibxxf86vm-devel-cos7-x86_64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8libxxf86vm-devel-cos7-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ ceaeee297f61a54b8c7ac08a06de569f”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@41194ab7b4c765cb567d2704d34cbd8f3e2a4f61f11dc67dbc05cd2ec6f4cfb7”h2NhNh3Œ%libxxf86vm-cos7-x86_64 ==1.1.4 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@p{CC–hEM}1hFˆubh)”}”(hŒtrio-aiohttp”h#Œ0.2.3”h%Œpy_0”h'K hhh(h)hŒtrio-aiohttp-0.2.3-py_0.tar.bz2”h+Œ 57dcc5fe1a5e3cdd90daf67fb1eefc83”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/trio-aiohttp-0.2.3-py_0.tar.bz2”h0Œ@af28c1b9c7d1c1c1fba29d15b4a28668d00bb22a06443c301dcbaf9296019fb0”h2NhNh3Œaiohttp”Œpython >=3.5.0”Œtrio-asyncio”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×B[ùn5?hEMµ,hFˆubh)”}”(hŒ
r-nparcomp”h#Œ3.0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ$r-nparcomp-3.0-r36h6115d3f_2.tar.bz2”h+Œ 865bba93aa523216b547e37f9c4c933b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nparcomp-3.0-r36h6115d3f_2.tar.bz2”h0Œ@92dc6af56bcb73e55296539f340ed98e5c9c3d32b7f31e33464e576b88b2c962”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-multcomp”Œ	r-mvtnorm”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×¬	æffhEJÀÐ hFˆubh)”}”(hŒprance”h#Œ0.22.11.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'prance-0.22.11.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ cc54d79820bcd272a636ddd9c096502b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/prance-0.22.11.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@50b40298126e5265e275a7d17f1dbfda3a0996ee3abf9b6131ecc121a0340d2e”h2NhNh3(Œchardet >=3.0,<5.0”Œpackaging >=21.3,<22.dev0”Œpython >=3.6”Œrequests >=2.25,<3.dev0”Œ ruamel.yaml >=0.17.10,<0.18.dev0”Œsemver >=2.13,<3.dev0”Œsix >=1.15,<2.dev0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÙŠÉwKÇhEM»}hFˆubh)”}”(hŒr-qdapdictionaries”h#Œ1.0.7”h%Œr36h6115d3f_0”h'K hhh(h)hŒ.r-qdapdictionaries-1.0.7-r36h6115d3f_0.tar.bz2”h+Œ d8a45cc70629623d4025d44c7352376c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-qdapdictionaries-1.0.7-r36h6115d3f_0.tar.bz2”h0Œ@0a43a8c513e221997bfaa9f1c5b288ffab8935f0af3168e20746122b2c6fff23”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ÙÀh¨ ÅhEJBK! hFˆubh)”}”(hŒgtk2-devel-cos6-x86_64”h#Œ2.24.23”h%Œha826a6f_1103”h'MOhhh(h)hŒ4gtk2-devel-cos6-x86_64-2.24.23-ha826a6f_1103.tar.bz2”h+Œ 8474c9e4db61290a7b3023fa8457e5e9”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos6-x86_64-2.24.23-ha826a6f_1103.tar.bz2”h0Œ@fa233f686ff0bfb70914ac279b79e91338264502b113bb75d293d5043fb2082b”h2NhNh3(Œ%atk-devel-cos6-x86_64 >=1.29.4 *_1103”Œ&cairo-devel-cos6-x86_64 >=1.6.0 *_1103”Œ-gdk-pixbuf2-devel-cos6-x86_64 >=2.24.1 *_1103”Œ'glib2-devel-cos6-x86_64 >=2.28.0 *_1103”Œ!gtk2-cos6-x86_64 ==2.24.23 *_1103”Œ'pango-devel-cos6-x86_64 >=1.20.0 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ4àÆvÉhEJ%L. hFˆubh)”}”(hŒ	aiosqlite”h#Œ0.17.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%aiosqlite-0.17.0-pyhd8ed1ab_0.tar.bz2”h+Œ ee5274fd3828e096cb7c90f003b0a67e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.17.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ee5b1cdeef500e464e531e93c627589c4eb475184e84beccd0a0de909adf232c”h2NhNh3Œpython >=3.6”Œtyping-extensions >=3.7.2”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ~b•ÂhEM @hFˆubh)”}”(hŒr-downscaler.keras”h#Œ1.0.0”h%Œr42ha770c72_2”h'Khhh(h)hŒ.r-downscaler.keras-1.0.0-r42ha770c72_2.tar.bz2”h+Œ 41f9295fd8ed7f76e4160866c32f212b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-downscaler.keras-1.0.0-r42ha770c72_2.tar.bz2”h0Œ@a2b5795caa4fc7b612c6854eb89cb8f4a54258f66b81033791941ef366ac43cb”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-downscaler >=3.3.2”Œr-keras >=2.2.2”Œ
r-magrittr”Œr-mass”Œr-tensorflow >=2.0.0”Œr-transformer >=2.1.0”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÓ†éyhEJ’ hFˆubh)”}”(hŒ	r-corpcor”h#Œ1.6.10”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-corpcor-1.6.10-r41hc72bb7e_1.tar.bz2”h+Œ d60b0a5d1728fc54c5600d068f357d60”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-corpcor-1.6.10-r41hc72bb7e_1.tar.bz2”h0Œ@a354a5abf7adafebffa1b91c5cd597f8d84139797cc2c6e5ef5dce61a387c429”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÐW‹…hEJø	 hFˆubh)”}”(hŒlibxshmfence-devel-cos7-ppc64le”h#Œ1.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxshmfence-devel-cos7-ppc64le-1.2-ha826a6f_1103.tar.bz2”h+Œ 96346d94522515fe8cd6d2044c49a754”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-ppc64le-1.2-ha826a6f_1103.tar.bz2”h0Œ@677a5af1891af03675723e733a350569dc88639b7187fe91afae5aa8a6bfd405”h2NhNh3Œ&libxshmfence-cos7-ppc64le ==1.2 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1‰5ÂhEMhFˆubh)”}”(hŒr-reader”h#Œ1.0.6”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-reader-1.0.6-r35h6115d3f_0.tar.bz2”h+Œ 8a18ac432962ffd7938e16084bc816be”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reader-1.0.6-r35h6115d3f_0.tar.bz2”h0Œ@d12b517945c52677f051210baaeff6cb63649fd0c31c00e60d132c3161d94272”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-ncmisc >=1.1”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×S½eI%hEJçä hFˆubh)”}”(hŒr-bradleyterry2”h#Œ1.1_2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ+r-bradleyterry2-1.1_2-r40h6115d3f_1.tar.bz2”h+Œ 035c28eec61ed8a6d4bcb908eedcb540”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-bradleyterry2-1.1_2-r40h6115d3f_1.tar.bz2”h0Œ@9c4b956f90835950b438f6693ee6325eb99e53c387cb70c6d31ca900079efe8a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-brglm”Œr-gtools”Œr-lme4 >=1.0”Œr-qvcalc”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬þ¾(öhEJ7X	 hFˆubh)”}”(hŒtorchdiffeq”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&torchdiffeq-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ a7b4227ee11aaff369aa8d53896a4757”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/torchdiffeq-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@297af7641719fe357f7eafd626bedabb291c454893be0b651248e0ce5bfc8a2d”h2NhNh3Œpython >=3.6”Œpytorch”Œscipy”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ.5Ø÷KÇhEMlohFˆubh)”}”(hŒr-gptk”h#Œ1.08”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ$r-gptk-1.08-r35h6115d3f_1001.tar.bz2”h+Œ 75f5476018272dadd25f13357e7cbcab”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gptk-1.08-r35h6115d3f_1001.tar.bz2”h0Œ@31842a12dd3274bf41b52fd75b8061cc75dd25d211cfdecf767cee61a7c528a5”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-fields”Œr-matrix”‡”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×MjÛC–hEJ ë hFˆubh)”}”(hŒlibselinux-devel-cos7-aarch64”h#Œ2.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libselinux-devel-cos7-aarch64-2.5-h9b0a68f_105.tar.bz2”h+Œ 7c0e360b372571d75fbbb87a280723a1”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-aarch64-2.5-h9b0a68f_105.tar.bz2”h0Œ@c60f69e0c415a70d1910b200548b9cff7d504bfc3247c79d05ffb729c400deef”h2NhNh3Œ#libselinux-cos7-aarch64 ==2.5 *_105”Œ'libsepol-devel-cos7-aarch64 >=2.5 *_105”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@]gëSøhEJµ` hFˆubh)”}”(hŒr-ebayesthresh”h#Œ1.4_12”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ.r-ebayesthresh-1.4_12-r36h6115d3f_1002.tar.bz2”h+Œ f21b07dfc06d07e2db0bdae06580c0ab”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-ebayesthresh-1.4_12-r36h6115d3f_1002.tar.bz2”h0Œ@bde96baa0ccb48fb551572354ae35c3358f3da968cb16c9902c85c2fa6c3ad6a”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-wavethresh”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LIªOïžhEJÖÕ hFˆubh)”}”(hŒr-factormerger”h#Œ0.4.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ*r-factormerger-0.4.0-r40hc72bb7e_2.tar.bz2”h+Œ 217089e67c97b7e2a8220f22fe2e97a0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-factormerger-0.4.0-r40hc72bb7e_2.tar.bz2”h0Œ@672acbc155a6b5bf6eedc289e0f34e5de382c9301faef0989f3d4f4b93d1f5a6”h2NhNh3(Œr-agricolae”Œr-base >=4.0,<4.1.0a0”Œr-colorramps”Œr-dplyr”Œ	r-forcats”Œr-formula.tools”Œ	r-ggplot2”Œr-ggpubr”Œr-knitr”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ,1–ŽéyhEJwÉ$ hFˆubh)”}”(hŒlibthai-cos7-ppc64le”h#Œ0.1.14”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libthai-cos7-ppc64le-0.1.14-h9d98e8f_1104.tar.bz2”h+Œ aeba69ebd66eadedbe90e5823a4bebf3”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-ppc64le-0.1.14-h9d98e8f_1104.tar.bz2”h0Œ@bb5ddfd67c9c2da8b5e5535ed38f37a91e4e4901217ca30a7cd0c6c3aaa0a7e0”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éy}ÎVhEJq} hFˆubh)”}”(hŒ	ipaddress”h#Œ1.0.23”h%Œpy_0”h'K hhh(h)hŒipaddress-1.0.23-py_0.tar.bz2”h+Œ 94d30c564526ded0f4c427a850299b65”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/ipaddress-1.0.23-py_0.tar.bz2”h0Œ@a5196288338059fbc1ecd40f4dd5b8d2e35f13d40abd2f29ca00dcec4544e57b”h2NhNh3Œpython <=3.3”…”h9h?h@ŒPSF 2”hDGA×jIPcohEMºMhFˆubh)”}”(hŒr-censusgeography”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ-r-censusgeography-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 9ce86c93d328a29862e55a2f1592b339”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-censusgeography-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@c96616ad892c121176a5259fbd08936528b9337402b0b1db2c7c0ed0ce0a1cb7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-qdaptools”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒœMr-hEMÁ÷hFˆubh)”}”(hŒgreenery”h#Œ2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!greenery-2.1-pyhd8ed1ab_0.tar.bz2”h+Œ feef2fa425507ca8c7108e55bf32d524”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/greenery-2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0913c801b4bc4ee1cd0db6ca943160ec71c17a4c793b98d73de7b0eaac6a102b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ§‡yxÕhEMT€hFˆubh)”}”(hŒ"opentelemetry-instrumentation-asgi”h#Œ0.28b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>opentelemetry-instrumentation-asgi-0.28b0-pyhd8ed1ab_0.tar.bz2”h+Œ 368e4ada67edb7d591d88a40f807752a”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/opentelemetry-instrumentation-asgi-0.28b0-pyhd8ed1ab_0.tar.bz2”h0Œ@3c592777a38907ff4053fe34ff4f686f5a5f43657f195e5e7a7306b627b07675”h2NhNh3(Œasgiref ~=3.0”Œopentelemetry-api ~=1.3”Œ$opentelemetry-instrumentation 0.28b0”Œ)opentelemetry-semantic-conventions 0.28b0”Œopentelemetry-util-http 0.28b0”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ|ŸˆÛçmhEMä9hFˆubh)”}”(hŒxrviz”h#Œ0.1.4”h%Œpy_1”h'Khhh(h)hŒxrviz-0.1.4-py_1.tar.bz2”h+Œ a75b5776267f17e46dfb7168733559cb”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/xrviz-0.1.4-py_1.tar.bz2”h0Œ@2697776c18e550c91ea55a70851085a0087baab6db9b82563fd5b1fdb3e38aa3”h2NhNh3(Œcartopy”Œ
datashader”Œ	holoviews”Œhvplot”Œmetpy”Œnetcdf4”Œpanel >=0.7.0”Œpython >=3.6”Œxarray >=0.14.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×zmn§ðhEJ»½š hFˆubh)”}”(hŒr-r.methodss3”h#Œ1.8.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-r.methodss3-1.8.2-r41hc72bb7e_1.tar.bz2”h+Œ 5cff1b8f457c863cc1025bb2b6396678”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-r.methodss3-1.8.2-r41hc72bb7e_1.tar.bz2”h0Œ@0702c4c5c66ae056005b618e5a31a86694a2b99c9b0fd37fdfbeb6fbe1a63488”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL (>= 2.1)”hBŒLGPL”hDGAØÐA¥ê°!hEJ‚ hFˆubh)”}”(hŒmarxs”h#Œ1.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒmarxs-1.2-pyhd3deb0d_0.tar.bz2”h+Œ a2412d2ffdfc6ed7e172a21c29f90673”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/marxs-1.2-pyhd3deb0d_0.tar.bz2”h0Œ@f75c4e81ed5c6ac5b9f8c098ebe3aba8fdbeb0b4d4f844023803a2ebb1bc63f1”h2NhNh3(Œastropy”Œpython >=3.5”Œscipy”Œtransforms3d”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL3”hDGA×ë­øÔþhEJ6€ hFˆubh)”}”(hŒr-stampp”h#Œ1.6.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-stampp-1.6.3-r41hc72bb7e_0.tar.bz2”h+Œ 3d8e5ae789a90d6a1384b30bfe0a4a80”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-stampp-1.6.3-r41hc72bb7e_0.tar.bz2”h0Œ@e3d76c493c86271caa4c8fc9c4039edfc1dc01beaf4f44a8f69398c4d9c5dff7”h2NhNh3(Œ
r-adegenet”Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œ	r-foreach”Œr-pegas”t”h9hºh@Œ
GPL-3-only”hBŒGPL3”hDGAØCÞ$&hEJ)g hFˆubh)”}”(hŒr-autoplotly”h#Œ0.1.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ(r-autoplotly-0.1.4-r36hc72bb7e_0.tar.bz2”h+Œ b9648997047f92292febe7fdc1773618”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-autoplotly-0.1.4-r36hc72bb7e_0.tar.bz2”h0Œ@52a694d119e422164e9c179e1c2aec62ca05af331752db095177b836b858e1c6”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ggfortify”Œ	r-ggplot2”Œr-plotly”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØý¶¡™šhEM½–hFˆubh)”}”(hŒr-matrix.utils”h#Œ0.9.8”h%Œr36h6115d3f_1”h'Khhh(h)hŒ*r-matrix.utils-0.9.8-r36h6115d3f_1.tar.bz2”h+Œ 02cd04a121c5e3fb536614b4cc14820a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-matrix.utils-0.9.8-r36h6115d3f_1.tar.bz2”h0Œ@b76cbe7e43e550c3c296ce5c561d4c6bc3fbbe50b247433687ab0ba3f3c83202”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-grr”Œr-matrix”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬­âÉ©ühEJŽe hFˆubh)”}”(hŒ	ipykernel”h#Œ6.15.0”h%Œpyh210e3f2_0”h'K hhh(h)hŒ%ipykernel-6.15.0-pyh210e3f2_0.tar.bz2”h+Œ bb34defcf733d4fdfda33da498051938”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ipykernel-6.15.0-pyh210e3f2_0.tar.bz2”h0Œ@f757fb250d398d2db3060499b3134c43a835e846ed312b2854ce9a5ba6ca00a0”h2NhNh3(Œ__linux”Œdebugpy >=1.0”Œipython >=7.23.1”Œjupyter_client >=6.1.12”Œmatplotlib-inline >=0.1”Œnest-asyncio”Œ	packaging”Œpsutil”Œpython >=3.7”Œ
pyzmq >=17”Œtornado >=6.1”Œtraitlets >=5.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØª»|TZhEJ:~ hFˆubh)”}”(hŒiowait”h#Œ0.2”h%Œpy_1”h'Khhh(h)hŒiowait-0.2-py_1.tar.bz2”h+Œ 07d45aa9701b1a9700470e5c76679918”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/iowait-0.2-py_1.tar.bz2”h0Œ@7a984f90c05c7769088ebc7482c0a3fc622345ca1a475ffcc60d51bbd761af00”h2NhNh3Œpython”…”h9h?h@ŒLGPL 3.0”hBŒLGPL”hDGAÖÐ¹>qûçhEMGhFˆubh)”}”(hŒr-tidytidbits”h#Œ0.3.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-tidytidbits-0.3.2-r41hc72bb7e_1.tar.bz2”h+Œ f912d5fa182d41c4dedd8405ee5966dc”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tidytidbits-0.3.2-r41hc72bb7e_1.tar.bz2”h0Œ@5475df914af877da0f6637bcf2032e2c8251eb6271a681439d1c0b3e8d690103”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-extrafont”Œ	r-forcats”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑEÌ…¸hEJ0õ hFˆubh)”}”(hŒgtk2-cos7-aarch64”h#Œ2.24.31”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/gtk2-cos7-aarch64-2.24.31-h9d98e8f_1104.tar.bz2”h+Œ 917d4b8c7ba503b16a0e8378aefd2cb5”h.Œ]https://conda.anaconda.org/conda-forge/noarch/gtk2-cos7-aarch64-2.24.31-h9d98e8f_1104.tar.bz2”h0Œ@f7f1e1747a48b43d32524cdbea5ba7640a99e4eb763fbdcddf2d0d5cda22d4c8”h2NhNh3(Œ atk-cos7-aarch64 >=1.29.4 *_1104”Œ"glib2-cos7-aarch64 >=2.28.0 *_1104”Œ#libtiff-cos7-aarch64 >=3.6.1 *_1104”Œ(libxrandr-cos7-aarch64 >=1.2.99.4 *_1104”Œ"pango-cos7-aarch64 >=1.20.0 *_1104”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É2¬hEJn‚; hFˆubh)”}”(hŒ	js-cookie”h#Œ2.2.1”h%j3G h'K hhh(h)hŒjs-cookie-2.2.1-0.tar.bz2”h+Œ 2959ced867814ddc5ea4c37a80478f62”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/js-cookie-2.2.1-0.tar.bz2”h0Œ@95f43e4f543efe78b945f17ecd4a1252860fa2c8a93c89449ce5fc4d6cd5e535”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×SãÑ6ùÛhEM25hFˆubh)”}”(hŒr-textfeatures”h#Œ0.3.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ*r-textfeatures-0.3.3-r42hc72bb7e_2.tar.bz2”h+Œ 51bd9979c96c1ab4a86f2384d53138e4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-textfeatures-0.3.3-r42hc72bb7e_2.tar.bz2”h0Œ@877523bf744f82aae09567f6f19754069242bb54ff20b5e5fedf335f7e5d29ad”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-purrr”Œr-rlang”Œ
r-text2vec”Œr-tfse”Œr-tibble”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑý™ÙhEJ1* hFˆubh)”}”(hŒr-turfr”h#Œ0.8_7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-turfr-0.8_7-r41hc72bb7e_0.tar.bz2”h+Œ 951c3b840471d7bcff8338580c022096”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-turfr-0.8_7-r41hc72bb7e_0.tar.bz2”h0Œ@572865d1d82ea2ccedceb4495afc478fc6bf6b8585bb4655296df039fc59e944”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.3.0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+“ƒˆA‰hEMJÞhFˆubh)”}”(hŒwheel”h#Œ0.38.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!wheel-0.38.4-pyhd8ed1ab_0.tar.bz2”h+Œ c829cfb8cb826acb9de0ac1a2df0a940”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/wheel-0.38.4-pyhd8ed1ab_0.tar.bz2”h0Œ@bd4f11ff075ff251ade9f57686f31473e25be46ab282d9603f551401250f9f44”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÛÀõÃhEM	hFˆubh)”}”(hŒ
r-threeway”h#Œ1.1.3”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ)r-threeway-1.1.3-r35h6115d3f_1001.tar.bz2”h+Œ c3aafcfbaacb07d8780c07bf7ad5af03”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-threeway-1.1.3-r35h6115d3f_1001.tar.bz2”h0Œ@cf263b692ce71fb8761089dce41cbf633a02df1b147bc654d266057d4889bd4f”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L¢0  hEJ>Å hFˆubh)”}”(hŒr-matrixeqtl”h#Œ2.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-matrixeqtl-2.3-r36h6115d3f_0.tar.bz2”h+Œ ffde71c8114ab3b69686c651eb9496ab”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-matrixeqtl-2.3-r36h6115d3f_0.tar.bz2”h0Œ@18f40182dee9954b853b20980c275318874320e36c469ccb30f04632ac7ba9f4”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×€s‡hEJÀ„ hFˆubh)”}”(hŒr-mlmetrics”h#Œ1.1.1”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ*r-mlmetrics-1.1.1-r40hc72bb7e_1003.tar.bz2”h+Œ 1a7f7f9cd065cca7fb7c569780fd371e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-mlmetrics-1.1.1-r40hc72bb7e_1003.tar.bz2”h0Œ@1daa4cc2f07738d754db4224e8e3aa872337d9b806df4affd956221b8176e450”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rocr”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+AÚy‡hEJY hFˆubh)”}”(hŒdill”h#Œ0.3.6”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒdill-0.3.6-pyhd8ed1ab_1.tar.bz2”h+Œ 88c82ca702197fff8a5e87619707556b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/dill-0.3.6-pyhd8ed1ab_1.tar.bz2”h0Œ@dcf93305a699e2ca83e25303f6d103beccce42d9bd9a4926c44aabe157e40b1e”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕ–:ÉÛ#hEJ;C hFˆubh)”}”(hŒlibxml2-cos7-aarch64”h#Œ2.9.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/libxml2-cos7-aarch64-2.9.1-h9b0a68f_105.tar.bz2”h+Œ 47c5e03380199095573cde0c48e0cf4c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-aarch64-2.9.1-h9b0a68f_105.tar.bz2”h0Œ@bcb3ff0fdfd0faf8c16f26eef036e19acc7c798664048737be2177d7c776d3c7”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@WFéº^hEJ® 
 hFˆubh)”}”(hŒ	r-metstat”h#Œ1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-metstat-1.0-r36h6115d3f_0.tar.bz2”h+Œ 56ea90840af36179d9efd1ecdc9f92c5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metstat-1.0-r36h6115d3f_0.tar.bz2”h0Œ@056a44e3a0b50e1d8342006d034904c2210d34cbf807cbba27383b02f898a280”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-pls”t”h9hºh@ŒApache (== 2.0)”hBŒAPACHE”hDGA×dÆîÉ™šhEJˆ6 hFˆubh)”}”(hŒ	slurmpter”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$slurmpter-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 194340225d6fbf5718dd158a4bc93ea6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/slurmpter-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d58f1ee312a7ab273fba9ce1ee4e029d6dce3e1584df42f11703ccf862679f34”h2NhNh3Œgraphviz”Œpycondor”Œpython >=3.5”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×æÛ`}?}hEM'hFˆubh)”}”(hŒr-catencoders”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-catencoders-0.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 7a2443431274039d8c8d99db78c76e88”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-catencoders-0.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@49455c57ca5d8bebf33d1556dddb741fc7faf6d7cd061983b4066abe7bf59b60”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.9.6”Œr-matrix >=1.2_6”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒœ”^hEM¢ïhFˆubh)”}”(hŒslicedimage”h#Œ4.1.1”h%Œpy_0”h'K hhh(h)hŒslicedimage-4.1.1-py_0.tar.bz2”h+Œ 889279ea9b6bc9c066a56564b778991d”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/slicedimage-4.1.1-py_0.tar.bz2”h0Œ@ab2bf12cd9bfc3e43dcf83b311d218c453e74081087dfbcb9073f3badc5949b7”h2NhNh3(Œboto3”Œ	diskcache”Œimageio”Œnumpy”Œ	packaging”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGA×lÛ' hEMÕHhFˆubh)”}”(hŒ
robustness”h#Œ1.2.1.post2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ+robustness-1.2.1.post2-pyhd3deb0d_0.tar.bz2”h+Œ dce9e8fe91c0121b615cb43c917756e3”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/robustness-1.2.1.post2-pyhd3deb0d_0.tar.bz2”h0Œ@2839dc68d90dae82244a7f8213bf934e29325c39fc5733379be5b1393a5e86e4”h2NhNh3(Œcox”Œdill”Œ	gitpython”Œgputil”Œgrpcio”Œmatplotlib-base”Œnumpy”Œpandas”Œpsutil”Œpy3nvml”Œpytables”Œpython”Œpytorch”Œscikit-learn”Œscipy”Œseaborn”Œtensorboardx”Œtorchvision”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ñ•’­‘hhEJ?0 hFˆubh)”}”(hŒnapari-plugin-search”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/napari-plugin-search-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 468c9f3d86b2fa1a2376e6a870702294”h.Œ]https://conda.anaconda.org/conda-forge/noarch/napari-plugin-search-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@615f37a4a47d89cb39c86cc19c6bda2996454e125c6c146328b963d63a276df8”h2NhNh3(Œnapari-plugin-engine >=0.1.4”Œnapari-tools-menu”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØI‰„¬hEM2%hFˆubh)”}”(hŒr-funr”h#Œ0.3.2”h%Œr36_1001”h'Méhhh(h)hŒr-funr-0.3.2-r36_1001.tar.bz2”h+Œ 9cf7ec858528786bfd0e8967a6fef65e”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-funr-0.3.2-r36_1001.tar.bz2”h0Œ@ef736826417d2110e6cc02e8101ddc940f9deabc27d3174bfd4557b426e95669”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×MþIXhEMwŒhFˆubh)”}”(hŒr-quandl”h#Œ2.11.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-quandl-2.11.0-r40hc72bb7e_0.tar.bz2”h+Œ 661289630882c041d43c411cabe068b8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-quandl-2.11.0-r40hc72bb7e_0.tar.bz2”h0Œ@400fd24f4ddcca0aaa267a898109770128be99a0431480b861738ce8fa785584”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-httr >=0.6.1”Œr-jsonlite >=0.9.14”Œr-xts”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØE	›ÙxÕhEJ/ hFˆubh)”}”(hŒdtool_irods”h#Œ0.10.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dtool_irods-0.10.1-pyhd8ed1ab_0.tar.bz2”h+Œ 28207eea3c34a865c1b51369fb8d3b80”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dtool_irods-0.10.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d5c6609c31e7c47d5959e71dfdbaa04e0e05343cc261cb48f573581cbbcb809c”h2NhNh3Œclick”Œdtoolcore >=3.17”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØMˆ9õ¡ËhEMÿ-hFˆubh)”}”(hŒr-robis”h#Œ2.11.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-robis-2.11.3-r42hc72bb7e_1.tar.bz2”h+Œ c49b07ad198de9dd5695b88aaa3305a3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-robis-2.11.3-r42hc72bb7e_1.tar.bz2”h0Œ@438b5705f75d961d3341c813004aa250fd83b8704fdae291a98e97c7badf32e4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-data.table”Œr-dplyr”Œ	r-ggplot2”Œr-httpcache”Œr-httr”Œ
r-jsonlite”Œ	r-leaflet”Œ	r-mapedit”Œr-purrr”Œr-rlang”Œr-sf”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓiy€ ÅhEJ„Ý hFˆubh)”}”(hŒr-celestial”h#Œ1.4.6”h%Œr36h6115d3f_2”h'Khhh(h)hŒ'r-celestial-1.4.6-r36h6115d3f_2.tar.bz2”h+Œ 29dfceb59129e32ee778829afacccbfd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-celestial-1.4.6-r36h6115d3f_2.tar.bz2”h0Œ@6ee4b80d7fffd8d94b5bc03c6c38b8efa03cd266b2188be50cd6d07533133c7c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-nistunits”Œr-pracma”Œr-rann”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬ÉöéyhEJLï hFˆubh)”}”(hŒblock_tracing”h#Œ1.0.1”h%Œpy_0”h'K hhh(h)hŒ block_tracing-1.0.1-py_0.tar.bz2”h+Œ e3065f3ec0862e9db93b2cd97144d1b5”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/block_tracing-1.0.1-py_0.tar.bz2”h0Œ@a3909818907655ec14ee0d117350de9a95d656d185e15c8c2ba1be8192d2b128”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖø‚k´9XhEM:hFˆubh)”}”(hŒr-wmtsa”h#Œ2.0_3”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ&r-wmtsa-2.0_3-r40h6115d3f_1002.tar.bz2”h+Œ 8f657c5e7bca42cd1f63a209767fcfec”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wmtsa-2.0_3-r40h6115d3f_1002.tar.bz2”h0Œ@22153508913387508108737b034cfa87cbc8a6f01f73818cc5a5ca150e92a6a4”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ifultools >=2.0_0”Œr-mass”Œr-splus2r >=1.2_0”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«íl±XhEJâ hFˆubh)”}”(hŒr-assertive.datetimes”h#Œ0.0_3”h%Œr40h6115d3f_0”h'K hhh(h)hŒ1r-assertive.datetimes-0.0_3-r40h6115d3f_0.tar.bz2”h+Œ 8a646c06475e23abe2e063e75da2771c”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-assertive.datetimes-0.0_3-r40h6115d3f_0.tar.bz2”h0Œ@b080e7c1dd45f5b8a3e6bbee33eef973829670af8423648204f9004de621b1eb”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=4.0,<4.1.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×ÈÈ_Ë"ÑhEM€¦hFˆubh)”}”(hŒr-boruta”h#Œ8.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-boruta-8.0.0-r41hc72bb7e_0.tar.bz2”h+Œ 98677c1e873fcbc5bbed2dffb7b2ba6d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-boruta-8.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@38cb62357b223a6f6c6de947da67173ac4fbdf65a313975349ef5e925a21ea6b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ranger”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÛçñš°!hEJÃ& hFˆubh)”}”(hŒpixman-cos7-x86_64”h#Œ0.34.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/pixman-cos7-x86_64-0.34.0-h9d98e8f_1104.tar.bz2”h+Œ a119ae33df4b04d0a396c024b82ebfdf”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pixman-cos7-x86_64-0.34.0-h9d98e8f_1104.tar.bz2”h0Œ@cc24eebf4323dc9ca3dedcba41aae2786ed9f83b027df04fe44cf2d1d7435c57”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy$e¡ËhEJœ@ hFˆubh)”}”(hŒluqum”h#Œ0.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!luqum-0.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ 43e173d3097eeb97cd9cfee1328aad69”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/luqum-0.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5dfd8ae0065ab32deae0f8bc2f548291ea2939dfcca84216083f5a827dfa05e0”h2NhNh3Œ
ply >=3.11”Œpython >=3.6”†”h9h?h@ŒApache-2.0 OR LGPL-3.0-only”hDGAØ5¾©‘ûçhEM+³hFˆubh)”}”(hŒ
r-multiroc”h#Œ1.1.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ)r-multiroc-1.1.1-r40h6115d3f_1002.tar.bz2”h+Œ b9559fcb92ebfa1a7adb52c854ccb038”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r40h6115d3f_1002.tar.bz2”h0Œ@71f7ca3359352a24eaae15de2dc46fcdcff77d9df3574c3002e1852b75452b0c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œ
r-magrittr”Œr-zoo”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬¡Ië×
hEJ# hFˆubh)”}”(hŒlibjpeg-turbo-cos7-x86_64”h#Œ1.2.90”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6libjpeg-turbo-cos7-x86_64-1.2.90-hdf0574f_1102.tar.bz2”h+Œ e87cf9ac9634682e2e00385c967e6970”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-x86_64-1.2.90-hdf0574f_1102.tar.bz2”h0Œ@62841266b5d65fd22e799b62fb3e8ab9ba260b7f9d170fb966c3b610bc8946c6”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒIJG”hBŒOther”hDGA×ÅÄ7³×
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r-progress”Œr-purrr”Œr-reticulate >=1.10”Œr-rlang >=0.3”Œr-tensorflow >=1.9”Œr-tfruns >=1.1”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØDt÷\)hEJ{3
 hFˆubh)”}”(hŒmarkdown_strings”h#Œ3.1.1”h%Œpy_0”h'K hhh(h)hŒ#markdown_strings-3.1.1-py_0.tar.bz2”h+Œ 3a3d3377cf907946d2427a5501185ba9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/markdown_strings-3.1.1-py_0.tar.bz2”h0Œ@aca58f6190b3d9a9b73e122c34aded0861dfdd4a8879e821df8fd0fae3a58cff”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¦ÈT1hEM7$hFˆubh)”}”(hŒpvextractor”h#Œ0.2”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ$pvextractor-0.2-pyh9f0ad1d_1.tar.bz2”h+Œ bde1d1918e3f5ecc3f101c328ed8a36f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pvextractor-0.2-pyh9f0ad1d_1.tar.bz2”h0Œ@43d17fae6f548369421460c837e103eeb9cf60b56e3fb8c19b18af25338a1cb2”h2NhNh3(Œastropy”Œmatplotlib-base >=2.0”Œpython”Œqtpy”Œscipy”Œspectral-cube”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¯ý5íãThEM/mhFˆubh)”}”(hŒr-rationalexp”h#Œ0.2.2”h%Œr35h6115d3f_1”h'Khhh(h)hŒ)r-rationalexp-0.2.2-r35h6115d3f_1.tar.bz2”h+Œ 9a1216b1b5d57f8923c038aed17d598c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rationalexp-0.2.2-r35h6115d3f_1.tar.bz2”h0Œ@a8dda12b038261d4143a2af5416de4fb3454feef43acf05cd4119f31f8775e81”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-snowfall”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¼{÷ÏhEJU' hFˆubh)”}”(hŒpython-terraform”h#Œ0.14.0”h%Œpyh44b312d_0”h'K hhh(h)hŒ,python-terraform-0.14.0-pyh44b312d_0.tar.bz2”h+Œ 25f1b6141ea35e7a636acc01979b4e98”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/python-terraform-0.14.0-pyh44b312d_0.tar.bz2”h0Œ@5ad3f6ed3c433d1d5bacc4d64ab8512f610d06284a1c8e157b5e1d0ef5fa11c6”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ"h`zÀƒhEMo*hFˆubh)”}”(hŒlibxext-devel-cos7-ppc64le”h#Œ1.3.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libxext-devel-cos7-ppc64le-1.3.3-h9d98e8f_104.tar.bz2”h+Œ 1b393570dc1b782469f9f6d494dbdff7”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-ppc64le-1.3.3-h9d98e8f_104.tar.bz2”h0Œ@64188a78c8280ebce3e4bd332de77013d9944d4954843067b405aadef07d661a”h2NhNh3Œ"libxext-cos7-ppc64le ==1.3.3 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}lí‘hEJ hFˆubh)”}”(hŒrb-rouge”h#Œ3.16.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ"rb-rouge-3.16.0-hc42de5b_0.tar.bz2”h+Œ a10dd459708e37d1a3d680dc92d2bf77”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-rouge-3.16.0-hc42de5b_0.tar.bz2”h0Œ@d59bc5c325691b9a4c7160c8db4ed11bca1426975d21c551f83ce2ad10a03b07”h2NhNh3Œruby >=2.6.5,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×–R”ó¶hEJA$ hFˆubh)”}”(hŒcdutil”h#Œ8.2.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!cdutil-8.2.1-pyhd8ed1ab_1.tar.bz2”h+Œ 17226dd1c46e35d2481302c7950b3a16”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cdutil-8.2.1-pyhd8ed1ab_1.tar.bz2”h0Œ@9c0287880c5631569aaf9b29d5c27e7746c1ea18a8fa281daee8fa9265d46a63”h2NhNh3(Œ	cdat_info”Œcdms2”Œgenutil”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØRªòœ“hEJõ hFˆubh)”}”(hŒlibxcomposite-cos7-x86_64”h#Œ0.4.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libxcomposite-cos7-x86_64-0.4.4-h9b0a68f_1105.tar.bz2”h+Œ 382f491fc6fb2aa04166db06fa462685”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-cos7-x86_64-0.4.4-h9b0a68f_1105.tar.bz2”h0Œ@d9b88af0178cd7b2125be77f852d9b86f1619510adc9ebc4732b0db9be62a67d”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@eâÅ‘hhEMJhFˆubh)”}”(hŒr-dunn.test”h#Œ1.3.5”h%Œ	r351_1000”h'Mèhhh(h)hŒ#r-dunn.test-1.3.5-r351_1000.tar.bz2”h+Œ 8cd53e047281ad56749e64f28467a28b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dunn.test-1.3.5-r351_1000.tar.bz2”h0Œ@9d59fd49be29da37cc69419bcdc2107659115752fb0b30815fe2d3c4ef76d1b1”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖúû¤ÑÛ#hEMÄàhFˆubh)”}”(hŒjupyterlab-topbar-text”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1jupyterlab-topbar-text-0.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ 31893379c631f8a70868cc63d76aca9c”h.Œ_https://conda.anaconda.org/conda-forge/noarch/jupyterlab-topbar-text-0.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@aefae95e1b60ac38aac250a98da0abe83ce48ba9096f865a2acd8e6936ae1a84”h2NhNh3Œjupyterlab ~=3.0”Œjupyterlab-topbar >=0.6,<0.7”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØnN‰QG®hEMÐhFˆubh)”}”(hŒlibxxf86vm-cos6-x86_64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ2libxxf86vm-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ e3c09f886f22dd48cd16a970d045c778”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@e5ddabd606ccc2ec6c1660e2f226d6f48e0c63f1938f97d5c55aabedb3b3f3ba”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3G®hEMh4hFˆubh)”}”(hŒlibxft-cos7-ppc64le”h#Œ2.3.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libxft-cos7-ppc64le-2.3.2-h9b0a68f_1105.tar.bz2”h+Œ e3b5eee6104c745222a99c64f609bfd0”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-ppc64le-2.3.2-h9b0a68f_1105.tar.bz2”h0Œ@96bb47903b9f7871200340ccaba96b816a9a277b2c4379d633437fdd2b066dc0”h2NhNh3Œ$fontconfig-cos7-ppc64le >=2.2 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@,œzáhEM¾ôhFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy39h1234567_2”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py39h1234567_2.tar.bz2”h+Œ 025bd1060c79aa784a477fa6f009faa3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py39h1234567_2.tar.bz2”h0Œ@55e6340aae31adc93b4d5b01179ea2a8e7d85b532d1083936f34c30077795a35”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØŠÄn7®hEJ> hFˆubh)”}”(hŒr-phylotools”h#Œ0.2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-phylotools-0.2.2-r41hc72bb7e_1.tar.bz2”h+Œ 294f5e7a8fad6ff9170ea4b1bf74f96a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-phylotools-0.2.2-r41hc72bb7e_1.tar.bz2”h0Œ@66b7329d96c5ff420ebfd57289e836a2f486b76a949031f3241d8cf474594943”h2NhNh3Œr-ape”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ6È^5hEJ’ hFˆubh)”}”(hŒxcb-util-cos6-x86_64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0xcb-util-cos6-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ f85548567367a1375f0778a5b716d512”h.Œ^https://conda.anaconda.org/conda-forge/noarch/xcb-util-cos6-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@5d7f1ed8a55171e0dc827001fca5960b837f8d8330c0c71a9d35d2f65c67d6c0”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØu#ìg;dhEM:6hFˆubh)”}”(hŒlibxt-devel-cos7-x86_64”h#Œ1.1.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxt-devel-cos7-x86_64-1.1.5-ha826a6f_1103.tar.bz2”h+Œ b8a193106ae5eabbe75fc88a55b8a739”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-x86_64-1.1.5-ha826a6f_1103.tar.bz2”h0Œ@da68225309e48f7d9e7c12e34ff5ed2953074e62b762f82b7b05c1876994f7ed”h2NhNh3Œ libxt-cos7-x86_64 ==1.1.5 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2Åû¶FhEJì hFˆubh)”}”(hŒglib2-devel-cos7-ppc64le”h#Œ2.56.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5glib2-devel-cos7-ppc64le-2.56.1-h9d98e8f_1104.tar.bz2”h+Œ 7b9985315ba61c98e9063c0a6e365c63”h.Œchttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-ppc64le-2.56.1-h9d98e8f_1104.tar.bz2”h0Œ@6307d82b9a25d126a175021bf4e9052d88171111fcbe02c434ef2041fdace5e7”h2NhNh3Œ"glib2-cos7-ppc64le ==2.56.1 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}¦3Æ¨hEJÝ hFˆubh)”}”(hŒ
r-rdetools”h#Œ1.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-rdetools-1.0-r36hc72bb7e_0.tar.bz2”h+Œ 697ad219f393cfd14bdf702257079dcf”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rdetools-1.0-r36hc72bb7e_0.tar.bz2”h0Œ@e42012143fe63fe6c9e1f5db1963accbdb9447b51ef9254ed084e03a387a9b63”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ê]Å`bNhEJë” hFˆubh)”}”(hŒr-shinydashboardplus”h#Œ2.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ0r-shinydashboardplus-2.0.3-r41hc72bb7e_1.tar.bz2”h+Œ a1800e98d8d6640bb719b0f1c07587c8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-shinydashboardplus-2.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@0cb9bf9187098eecd798b26855f292ab5957a013b75ce66db8da5a0b79b8148e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fresh”Œr-htmltools”Œr-lifecycle”Œr-shiny”Œr-shinydashboard”Œr-waiter”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒyhEJ›m hFˆubh)”}”(hŒxcb-util-keysyms-cos7-aarch64”h#Œ0.4.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8xcb-util-keysyms-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h+Œ 3899e1cbb11b8d52fe3de9a508a4d684”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h0Œ@d10bf1e33d7ecf464596ae1ccfb97cfc6ceba6da3409927685e4934bbc6206a6”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓQj¬hEM#2hFˆubh)”}”(hŒr-psychotree”h#Œ0.16_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-psychotree-0.16_0-r42hc72bb7e_1.tar.bz2”h+Œ d2820028934f3940632c66ff6cf25c2e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-psychotree-0.16_0-r42hc72bb7e_1.tar.bz2”h0Œ@2e493b46e60bbba216194ed29ea30f39dc4202bb56d9667362db985805b42284”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-formula”Œr-partykit >=0.8_4”Œr-psychotools >=0.4_0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ·ôshEJ'’ hFˆubh)”}”(hŒr-mcgibbsit”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-mcgibbsit-1.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 3f365a0c049e2e5c9946199dbcd61562”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mcgibbsit-1.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@e9852cfcdb535e57f6ab4e4c1c121aef444edfb4758140423620c133f57f7726”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-coda”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØY«™&éhEM#ÀhFˆubh)”}”(hŒpytest-replay”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pytest-replay-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4860d4aed83c6640e55498347170a2fa”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pytest-replay-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2c6ecd9cf4be4662201e991522abb38bf9079adcffd29954259441f7632af2d0”h2NhNh3Œpytest >=3.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ0NÄ×²hEMì%hFˆubh)”}”(hŒpython-gnupg”h#Œ0.4.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'python-gnupg-0.4.9-pyhd8ed1ab_0.tar.bz2”h+Œ eea9e4e1795553c60c493dab5b95ff67”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/python-gnupg-0.4.9-pyhd8ed1ab_0.tar.bz2”h0Œ@8725e1f520423f9b75851dcf34685985408a83d036ea3fdd089035233b96587f”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ£“J6vÉhEM;QhFˆubh)”}”(hŒmicromagneticmodel”h#Œ0.63.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.micromagneticmodel-0.63.1-pyhd8ed1ab_0.tar.bz2”h+Œ ed0b0ea25812cfe003a570112e8320f4”h.Œ\https://conda.anaconda.org/conda-forge/noarch/micromagneticmodel-0.63.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3af215e2aaafe3ab32facc99b43d5ad29d43868a428b59a6d6303adcec8626cd”h2NhNh3Œdiscretisedfield >=0.65.0”Œpython >=3.8”Œubermagutil >=0.63.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÔY’ö§ðhEM±hFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5libdrm-devel-cos7-ppc64le-2.4.97-hdf0574f_102.tar.bz2”h+Œ 0f93932a9d8d67a07eed7dd48b9a78fb”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-ppc64le-2.4.97-hdf0574f_102.tar.bz2”h0Œ@907867349ae93f9a0599793ad090e505d2efbb8b153c17544b7977688170e36d”h2NhNh3Œ*kernel-headers-cos7-ppc64le >=2.6.27 *_102”Œ"libdrm-cos7-ppc64le ==2.4.97 *_102”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+0ÉÊÁhEJxô hFˆubh)”}”(hŒ
obplatform”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%obplatform-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ d284695c3726fd22b90196bf3b09d4ea”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/obplatform-1.1.0-pyhd8ed1ab_0.tar.bz2”•2      h0Œ@555e7e04450d255130dd9bbdf0587ca4ff846c6fb74e2e53b5278c6c3ecee288”h2NhNh3Œpython >=3.7.1,<4.0”Œrequests >=2”Œtqdm >=4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØiÆ¹ò-hEM[/hFˆubh)”}”(hŒxcb-util-image-cos7-ppc64le”h#Œ0.4.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7xcb-util-image-cos7-ppc64le-0.4.0-h9d98e8f_1104.tar.bz2”h+Œ dc1a70773e934fd83c39868b86b365a1”h.Œehttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-cos7-ppc64le-0.4.0-h9d98e8f_1104.tar.bz2”h0Œ@3ba1528e19d605cdb21ba6d59767493567fb83f33ee8f85a72d704518931e35f”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ón™Û#hEMN?hFˆubh)”}”(hŒr-generalizedhyperbolic”h#Œ0.8_4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ3r-generalizedhyperbolic-0.8_4-r41hc72bb7e_1.tar.bz2”h+Œ 3e6c2edf1da83eac970f0841e3411308”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-generalizedhyperbolic-0.8_4-r41hc72bb7e_1.tar.bz2”h0Œ@8df7194dcf9a9f982393a5d06b27a7ecd2cf4be34404d38f7d1e890dd0328ef9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-distributionutils”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑSßXhEJ¿\	 hFˆubh)”}”(hŒr-praise”h#Œ1.0.0”h%Œr42hc72bb7e_1006”h'Mîhhh(h)hŒ'r-praise-1.0.0-r42hc72bb7e_1006.tar.bz2”h+Œ f03a73f0cd88c0320cabc28f45bfc0cf”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-praise-1.0.0-r42hc72bb7e_1006.tar.bz2”h0Œ@191dfb038452dbe94f4241a444048548a6b5c72267080a27956f7b9d78001a22”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ-ô7
=hEMëahFˆubh)”}”(hŒr-codemetar”h#Œ0.3.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-codemetar-0.3.5-r41hc72bb7e_1.tar.bz2”h+Œ 44afefa04b29a885aea4c1e481a40a16”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-codemetar-0.3.5-r41hc72bb7e_1.tar.bz2”h0Œ@f2ebb201d5c2064dab1d6893cc8137dd230a1429f0277f578ed7895619ddf05a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œ
r-codemeta”Œr-commonmark”Œr-crul”Œr-desc”Œr-gert”Œr-gh”Œr-jsonlite >=1.6”Œ
r-magrittr”Œ	r-memoise”Œr-pingr”Œr-purrr”Œ	r-remotes”Œr-sessioninfo”Œ
r-urltools”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ”hEJñ hFˆubh)”}”(hŒtuspy”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ tuspy-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ f488e6de6825158e9c23bf5f64d7cae2”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tuspy-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ffbad63a0a961b53b74f9cf02af282e328389c93cca5d5eed393ffa665c2c06c”h2NhNh3(Œaiohttp >=3.6.2”Œcertifi >=2018.1.18”Œfuture >=0.16.0”Œpython >=3.6”Œrequests >=2.18.4”Œsix >=1.11.0”Œtinydb >=3.5.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶E3"ÑhEMä<hFˆubh)”}”(hŒlibxtst-cos7-ppc64le”h#Œ1.2.3”h%Œ
h1341992_0”h'K hhh(h)hŒ-libxtst-cos7-ppc64le-1.2.3-h1341992_0.tar.bz2”h+Œ 65a308fa8bd58eb00f0514ce611dd054”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxtst-cos7-ppc64le-1.2.3-h1341992_0.tar.bz2”h0Œ@8aecc1723db27e1bc39ff78caaa60a62e449677019b17cdc07fb23e352e76c10”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×sÐµ¸hEMÆIhFˆubh)”}”(hŒwebencodings”h#Œ0.5.1”h%Œpy_1”h'Khhh(h)hŒwebencodings-0.5.1-py_1.tar.bz2”h+Œ 3563be4c5611a44210d9ba0c16113136”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-py_1.tar.bz2”h0Œ@302f4f4bd1ad00c0be1426ecf6bb01db59cfd8aff3de0cf1596526dca1a6b70e”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖá0Wß;hEM}.hFˆubh)”}”(hŒr-kimisc”h#Œ0.4”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ%r-kimisc-0.4-r40hc72bb7e_1002.tar.bz2”h+Œ ce63c16271510d091fbdf63fef64c6a2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kimisc-0.4-r40hc72bb7e_1002.tar.bz2”h0Œ@490c0b8d372732363b061129e2d0b219fdce6e4a92400f6e858bda7e7f60d8c9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-memoise”Œr-plyr”Œr-pryr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+AxjhEJÆý hFˆubh)”}”(hŒgit-pull-request”h#Œ6.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+git-pull-request-6.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ d8ac779b525ed767ef4cb3532c870b0d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/git-pull-request-6.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@15957321e2ccc056f12a6a4033d4a28c2e5b5a84379ebd6bdd061ef119e3e035”h2NhNh3(Œattrs”Œdaiquiri”Œgit”Œpygithub”Œpython >=3.7”Œrequests”t”h9h?h@Œ
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fenics-ufl”h#Œ2019.1.0”h%Œpyhd8ed1ab_15”h'Khhh(h)hŒ)fenics-ufl-2019.1.0-pyhd8ed1ab_15.tar.bz2”h+Œ 7e222835fda053f6aff690a9e1f0b3d0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2019.1.0-pyhd8ed1ab_15.tar.bz2”h0Œ@29a1657e4fc755ba9ce749f287da0390f16dd9aacb7ab34a75ccc9b98eb3cabf”h2NhNh3Œnumpy”Œpython >=3.5”Œ
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r-jsonlite”Œ
r-magrittr”Œr-readr”Œr-rlang”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ?ã'ïžhEJE hFˆubh)”}”(hŒtheme-darcula”h#Œ4.0.0”h%Œpyh1d7be83_0”h'K hhh(h)hŒ(theme-darcula-4.0.0-pyh1d7be83_0.tar.bz2”h+Œ 21f3c7b3f3917d116e5eae4c277290bf”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/theme-darcula-4.0.0-pyh1d7be83_0.tar.bz2”h0Œ@d06a5f78341775175ca3aacb5946f3a72c498727b82c3e47ff0d2528290adc3b”h2NhNh3Œjupyterlab >=3.0.0,<4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¶
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r-pheatmap”Œr-princurve”Œr-randomforest”Œr-rcolorbrewer”Œr-rtsne”Œr-som”Œr-umap”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØª5¡X“uhEJÏÊ. hFˆubh)”}”(hŒr-rdpack”h#Œ2.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-rdpack-2.4-r40hc72bb7e_0.tar.bz2”h+Œ a7528b9012fbf1ece1facb921d0e4f32”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rdpack-2.4-r40hc72bb7e_0.tar.bz2”h0Œ@f2cc34c79ec8558eb37279adf6b35cfc8bf22de2a2a9dcca3a2902cda2c6f02f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-gbrd”Œr-rbibutils >=1.3”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ¶T|Ý/hEJïÙ hFˆubh)”}”(hŒr-homologene”h#Œ1.4.68.19.3.27”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ1r-homologene-1.4.68.19.3.27-r42hc72bb7e_1.tar.bz2”h+Œ 3bce53ef00c1a762629af49b2a1fb385”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-homologene-1.4.68.19.3.27-r42hc72bb7e_1.tar.bz2”h0Œ@98c04fca39c71fc12cb3fb721a5f3c213cb822e39a89228b86f6852eec603a87”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.4”Œr-magrittr >=1.5”Œr-purrr >=0.2.5”Œr-r.utils >=2.8.0”Œr-readr >=1.3.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒiGšñªhEJö2; hFˆubh)”}”(hŒfenicsprecice”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(fenicsprecice-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 86a98b7d91aab84c8b4c0075688a35c4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/fenicsprecice-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@544125a576c3e829fd913ba6baf39eee56ad416db4f43b0488b819ec363ea5e5”h2NhNh3(Œfenics”Œmpi4py”Œnumpy >=1.13.3”Œpyprecice >=2.0.0”Œpython >=3.6”Œscipy”t”h9h?h@ŒLGPL-3.0-or-later”hBŒGPL”hDGAØ€²ç!G®hEM'ahFˆubh)”}”(hŒr-setrng”h#Œ2022.4_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-setrng-2022.4_1-r42hc72bb7e_1.tar.bz2”h+Œ 18c94d96d8fac346c51f489f428463ba”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-setrng-2022.4_1-r42hc72bb7e_1.tar.bz2”h0Œ@79c84499355ba1a29bc77e32e6b95f748e127ae5d7a776453dc68aa530220f5b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ‰<ýôhEJ  hFˆubh)”}”(hŒr-wkb”h#Œ0.4_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-wkb-0.4_0-r42hc72bb7e_1.tar.bz2”h+Œ 2009835e347647c00bc2969b5ee5aa2a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-wkb-0.4_0-r42hc72bb7e_1.tar.bz2”h0Œ@2be6bbbee8137885e38847fa4ef009ab4ebca63ff8013df35595a011edbe3e47”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-sp”†”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÑËƒ/
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hc42de5b_0”h'K hhh(h)hŒ'rb-rb-inotify-0.10.1-hc42de5b_0.tar.bz2”h+Œ 890ec8e8113a12ac335c0ab92eb21642”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/rb-rb-inotify-0.10.1-hc42de5b_0.tar.bz2”h0Œ@c5f8f59c9ed70dbeb951096c1c3fe989c56bc8d3afaf9ab7254d84001e1c769e”h2NhNh3Œrb-ffi >=1.0,<2”Œruby”†”h9hºh@ŒMIT”hBŒMIT”hDGA×¸E,{hEMxyhFˆubh)”}”(hŒat-spi-cos7-ppc64le”h#Œ1.32.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/at-spi-cos7-ppc64le-1.32.0-h9b0a68f_105.tar.bz2”h+Œ 7aa2c55c20056f0ad879328669ec044c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-ppc64le-1.32.0-h9b0a68f_105.tar.bz2”h0Œ@00c5c0505c4f0840262cf7d8d680fe64edcea5ac4ca70d22f7520e5f0d2d2f19”h2NhNh3(Œatk-cos7-ppc64le >=1.29.2 *_105”Œ gtk2-cos7-ppc64le >=2.10.0 *_105”Œ$libbonobo-cos7-ppc64le >=2.4.0 *_105”Œ!orbit2-cos7-ppc64le >=2.6.0 *_105”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‘	®E¢hEJf hFˆubh)”}”(hŒ
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ipywidgets”Œnumpy”Œpandas”Œpython >=3.8”Œscikit-learn”Œscipy”Œstatsmodels”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÀ35zJhEJ\> hFˆubh)”}”(hŒlibxml2-cos7-ppc64le”h#Œ2.9.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libxml2-cos7-ppc64le-2.9.1-h9d98e8f_104.tar.bz2”h+Œ 2dc3a89c319bd89c0b2b61841e0e797c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-ppc64le-2.9.1-h9d98e8f_104.tar.bz2”h0Œ@44b6adeab65fd4844cae1836f18601fbf54bc9fcd02c640a881b2c392915b0ed”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyÚC×
hEJá( hFˆubh)”}”(hŒr-simfit”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-simfit-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 29ea67ff27a87c41b54b5ddbb66f4701”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-simfit-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@bf133dae51245e22a248d1ca0b4fece8c5cea62c727f5c5cbb7d999b8bf821fb”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œ
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python >=3”Œsix”†”h9h?h@Œ
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r-multcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬»çÎÙhEJl hFˆubh)”}”(hŒ	sleekxmpp”h#Œ1.3.3”h%Œpy_0”h'K hhh(h)hŒsleekxmpp-1.3.3-py_0.tar.bz2”h+Œ abe3985f9610b00d44e004e740fae5a8”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/sleekxmpp-1.3.3-py_0.tar.bz2”h0Œ@f20d87fb324634c87dd0db888e27a71c41001d95627cc0606a0e525af0547333”h2NhNh3(Œ	dnspython”Œpyasn1”Œpyasn1-modules”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×øÖJ-hEJ·~ hFˆubh)”}”(hŒ
r-paintmap”h#Œ1.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ$r-paintmap-1.0-r40h6115d3f_2.tar.bz2”h+Œ f0d64d40bef022a20cadce34e05855bd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r40h6115d3f_2.tar.bz2”h0Œ@c3af3f73eb90bda1079d169b9ee8f60fbb6aa416619913f1b73ca49d88aadcd2”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬œ4dZhEM¥ŠhFˆubh)”}”(hŒlogdir”h#Œ0.12.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"logdir-0.12.0-pyhd8ed1ab_0.tar.bz2”h+Œ a1d8055fc47f6c4831ad8dfaf97e944d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/logdir-0.12.0-pyhd8ed1ab_0.tar.bz2”h0Œ@76541bcc34da62bce40fb57f1ff587563bf0a801d49f8311e59ea754bab9b7a2”h2NhNh3(Œdulwich >=0.20.0”Œpython >=3.7,<4.0”Œpython-slugify >=4.0.0”Œruamel.yaml >0.15”Œtoml >=0.10”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¾ñû÷ÏhEMØ*hFˆubh)”}”(hŒpy-readability-metrics”h#Œ1.4.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1py-readability-metrics-1.4.5-pyhd8ed1ab_0.tar.bz2”h+Œ e6c0dc5af766848a45638a9eab007e32”h.Œ_https://conda.anaconda.org/conda-forge/noarch/py-readability-metrics-1.4.5-pyhd8ed1ab_0.tar.bz2”h0Œ@6f06e9dcec7c2d748f080c4e3e581f6a582002a4d7094bc18030f69de763d15b”h2NhNh3Œnltk”Œpython >=3.4”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ-•1@ ÅhEMñ=hFˆubh)”}”(hŒmesa-libgl-devel-cos6-x86_64”h#Œ11.0.7”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8mesa-libgl-devel-cos6-x86_64-11.0.7-h9d98e8f_104.tar.bz2”h+Œ 800da06d1b999615a7cdb7fb6cb3a181”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos6-x86_64-11.0.7-h9d98e8f_104.tar.bz2”h0Œ@8c9a4c2fb1e231840a4b575d02625ad1d97868e9afac9d7401647dbfc44bcb02”h2NhNh3Œ%mesa-libgl-cos6-x86_64 ==11.0.7 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ùÌÍhEJÚó hFˆubh)”}”(hŒtreeinterpreter”h#Œ0.2.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*treeinterpreter-0.2.2-pyh9f0ad1d_0.tar.bz2”h+Œ 5d2100a768f349eb1372d59dc3c00bf9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/treeinterpreter-0.2.2-pyh9f0ad1d_0.tar.bz2”h0Œ@bea62c0db5d49b25145a9409702562cc7f648564b68e157143d87bfea7a58d59”h2NhNh3Œnumpy”Œpython”Œscikit-learn >=0.17”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÞüH´9hEM#hFˆubh)”}”(hŒ	r-swagger”h#Œ3.33.1”h%Œr40h142f84f_0”h'K hhh(h)hŒ&r-swagger-3.33.1-r40h142f84f_0.tar.bz2”h+Œ c29a5698ba1f7837680b33de4f2e8eda”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-swagger-3.33.1-r40h142f84f_0.tar.bz2”h0Œ@173c2dce69cbd6b59243756b9de5dcbf8bf5810fc1f5747ae012283af2b5eefe”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
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r-corrplot”Œr-countrycode”Œr-d3r”Œr-data.tree”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œ
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r-ggridges”Œr-glue”Œr-posterior”Œ
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r-magrittr”Œr-mass”Œ	r-mvtnorm”Œ
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rb-faraday”h#Œ0.17.0”h%Œ
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r-labeling”h#Œ0.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-labeling-0.4.2-r41hc72bb7e_1.tar.bz2”h+Œ 7536c98f2faf4bf5faf4334fb79f1328”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@ab054fa676c67538250c7157abcd402c5c812f129bae7937e9e73d6c6dc8e391”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsZÉ¡‰7hEJÇ hFˆubh)”}”(hŒipydatawidgets”h#Œ4.3.2”h%Œpyhc268e32_0”h'K hhh(h)hŒ)ipydatawidgets-4.3.2-pyhc268e32_0.tar.bz2”h+Œ aff80a4f5dca225740523d330c25c57e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/ipydatawidgets-4.3.2-pyhc268e32_0.tar.bz2”h0Œ@41f4e487731239c565751b2df99a548af459a9278b852d1197dab51dcf663b21”h2NhNh3(Œipywidgets >=7,<9”Œnumpy”Œpython >=3.7”Œtraittypes >=0.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÁ“ô‰G®hEJž hFˆubh)”}”(hŒempath”h#Œ0.89”h%Œpy_1”h'Khhh(h)hŒempath-0.89-py_1.tar.bz2”h+Œ 8beaa0e1d760379ae73fef5d9144b6f3”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/empath-0.89-py_1.tar.bz2”h0Œ@4976814510e509f1a2ea9708509dc40f0851c17d1d9ef51e4196aa914910f372”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐæ{ZñªhEMyÈhFˆubh)”}”(hŒlibxcb-cos7-aarch64”h#Œ1.13”h%Œ
h1341992_0”h'K hhh(h)hŒ+libxcb-cos7-aarch64-1.13-h1341992_0.tar.bz2”h+Œ 2291bef2df1f752577b7e04b2e4f9b00”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-aarch64-1.13-h1341992_0.tar.bz2”h0Œ@4321a65c7042ed4dc217fcc35f4acafb344a1be16e2880d37fa9a8f270c9e6f4”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×å ¬jhEJV¸ hFˆubh)”}”(hŒlibx11-cos7-aarch64”h#Œ1.6.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libx11-cos7-aarch64-1.6.7-hdf0574f_1102.tar.bz2”h+Œ 9d4893331615b282bdbd70d9ce92c751”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libx11-cos7-aarch64-1.6.7-hdf0574f_1102.tar.bz2”h0Œ@6db6800977f9f1ca25cbe5015dab19be7c6b9cc08eab5a50d77347b1ca0d614c”h2NhNh3Œ)libx11-common-cos7-aarch64 >=1.6.7 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+æ¨å`hEJso hFˆubh)”}”(hŒvadersentiment”h#Œ3.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)vadersentiment-3.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0a7a253ec99dd7d78ee1e0967b1397aa”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/vadersentiment-3.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@abd22c4b3ad7e6400c2d01e3e8d3cb06a1f8a912fce0f64bf7323928fa341e2e”h2NhNh3Œpython >=3.6”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØyþ—hEJÓ‘ hFˆubh)”}”(hŒr-shinytree”h#Œ0.2.7”h%Œr35h6115d3f_1”h'Khhh(h)hŒ'r-shinytree-0.2.7-r35h6115d3f_1.tar.bz2”h+Œ 2f25e051c487d572c8f370f08a6ce7b9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinytree-0.2.7-r35h6115d3f_1.tar.bz2”h0Œ@e2a86f092effb1dfe32ffcb181c2b726e82a7b50c5f3627b592be8aec4a63cf6”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-promises”Œr-shiny >=0.9.0”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×LªëÎVhEJƒï hFˆubh)”}”(hŒr-learnbayes”h#Œ2.15.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ,r-learnbayes-2.15.1-r35h6115d3f_1001.tar.bz2”h+Œ c96333357eed6e38eb6ea709392508e5”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-learnbayes-2.15.1-r35h6115d3f_1001.tar.bz2”h0Œ@aa0fc34ecaa003bf0d02fdae222a58af7764d5579c27cd7c312463b2bd4a0c54”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÉxr°hEJ#» hFˆubh)”}”(hŒonnx-caffe2”h#Œ1.0.0”h%Œpyhd8ed1ab_1004”h'Mìhhh(h)hŒ)onnx-caffe2-1.0.0-pyhd8ed1ab_1004.tar.bz2”h+Œ c59a78297bc006ba1fe94b505d50d8da”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/onnx-caffe2-1.0.0-pyhd8ed1ab_1004.tar.bz2”h0Œ@9ad29005e8884668c12624e363766f081e784138ea1ae83786d984ced64907f0”h2NhNh3Œclick”Œonnx”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ€ÙEhEMƒhFˆubh)”}”(hŒr-anocva”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-anocva-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 0a84d194f7b53d2cc7fbcde054fe1741”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-anocva-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@501518bb892d8e4f7e7dc8f27105f19779d2f49573cb792433cf1a70ff29693a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ/T§i&éhEM4ãhFˆubh)”}”(hŒperl-business-isbn”h#Œ3.007”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ1perl-business-isbn-3.007-pl5321hd8ed1ab_0.tar.bz2”h+Œ a7a3d7614e1a73b8d9c20030651d6006”h.Œ_https://conda.anaconda.org/conda-forge/noarch/perl-business-isbn-3.007-pl5321hd8ed1ab_0.tar.bz2”h0Œ@fa0b99650ac3bc098d4b34d23eea8f5101f7a5e8c04fc50fac6b8bff70161848”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œ"perl-business-isbn-data >=20191107”†”h9hºh@ŒArtistic-2.0”hDGAØÑ	õ¢ÐåhEM…GhFˆubh)”}”(hŒtoytree”h#Œ2.0.5”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"toytree-2.0.5-pyhd3deb0d_0.tar.bz2”h+Œ 5f8c03e1fea283953ae4d896fc519e49”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/toytree-2.0.5-pyhd3deb0d_0.tar.bz2”h0Œ@4e63e68b701c68d4b94cb643025c55eed2840e6b15c0c56c037b6dfff31a40a0”h2NhNh3(Œfuture”Œnumpy >=1.10”Œpython”Œrequests”Œtoyplot >=0.17.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×ëµÖÈ£×hEJ×g hFˆubh)”}”(hŒxcb-util-cos7-aarch64”h#Œ0.4.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0xcb-util-cos7-aarch64-0.4.0-h9b0a68f_105.tar.bz2”h+Œ a2f8ea4ce5732b85303851e08f218e27”h.Œ^https://conda.anaconda.org/conda-forge/noarch/xcb-util-cos7-aarch64-0.4.0-h9b0a68f_105.tar.bz2”h0Œ@bab1ced47d4202d545f944982ee988c643c7d0b9f5e2431ead58ba8749325e88”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@UrÎÙhEMÓ;hFˆubh)”}”(hŒr-kedd”h#Œ1.0.3”h%Œr42ha770c72_1005”h'Míhhh(h)hŒ%r-kedd-1.0.3-r42ha770c72_1005.tar.bz2”h+Œ 6e5ab8acfde3b7c24fe90dab53ab7d2b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kedd-1.0.3-r42ha770c72_1005.tar.bz2”h0Œ@1a61b1780211bb2795ec76a166bc900747162e4a02cfcca44f18bdfdf514a245”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ,²-hEJR hFˆubh)”}”(hŒmesa-khr-devel-cos7-aarch64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ8mesa-khr-devel-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ 0a992ee8aadee6655fd15994f01954c5”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-aarch64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@59ed0bf56871eee6266ed1e648515bf095a84d8109a6a6d084acba1772836056”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ÍhEM(hFˆubh)”}”(hŒ
pycroscopy”h#Œ0.62.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pycroscopy-0.62.0-pyhd8ed1ab_0.tar.bz2”h+Œ 38104a33c7d069e0e5832a00b15530c0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pycroscopy-0.62.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3cd1d83e99bfa0ff7d2d8dfbf62d50b831a098f14789d08a6be097519536b086”h2NhNh3(Œipython”Œipywidgets >=5.2.2”Œjoblib >=0.11.0”Œmatplotlib >=2.0.0”Œnumpy >=1.13.0”Œpillow”Œpsutil”Œ
python >=3”Œpytorch”Œscikit-image >=0.12.3”Œscikit-learn >=0.17.1”Œscipy >=0.17.1”Œsidpy >=0.0.6”Œsix”Œtensorly >=0.6.0”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¨íi*n˜hEM™£hFˆubh)”}”(hŒ	schemaorg”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$schemaorg-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 802deb350a83c02ae7bb08febabde193”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/schemaorg-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@96292dc3b2c6f29adcd01377b0185976c30254f6ac397bef858b7ca673129438”h2NhNh3Œlxml”Œpyaml”Œ
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hc42de5b_0”h'K hhh(h)hŒ0rb-forwardable-extended-2.6.0-hc42de5b_0.tar.bz2”h+Œ 7fc1c18c38d7b01a336d054d610a7628”h.Œ^https://conda.anaconda.org/conda-forge/noarch/rb-forwardable-extended-2.6.0-hc42de5b_0.tar.bz2”h0Œ@ae85763531314952479d584389f7838c4d592bc85553a57c1c89cce36b3006fa”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Y¼Î“dZhEMè2hFˆubh)”}”(hŒ
r-freqprof”h#Œ0.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-freqprof-0.0.1-r41hc72bb7e_1.tar.bz2”h+Œ d38a2d6c957c77145684bab9b53ad03a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-freqprof-0.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@a734aef495f8cc0c68ad7aabcd92a1586f8e91cb0d03cd66efdf1f7cedc793dc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-reshape2”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ~l1'hEJ×, hFˆubh)”}”(hŒr-palr”h#Œ0.3.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-palr-0.3.0-r41hc72bb7e_1.tar.bz2”h+Œ 6b3a0a84894ac7df5a42e688bdfa42d8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-palr-0.3.0-r41hc72bb7e_1.tar.bz2”h0Œ@cc247b6e1ae26f10ddec8d291ab876eb23ffa38eeb9e9828e069dcd6f87e9090”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐ÷h_;dhEJê  hFˆubh)”}”(hŒsystemd-devel-cos7-ppc64le”h#Œ219”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3systemd-devel-cos7-ppc64le-219-h9b0a68f_105.tar.bz2”h+Œ 41ae07eabadc18d07af30c7596e9f365”h.Œahttps://conda.anaconda.org/conda-forge/noarch/systemd-devel-cos7-ppc64le-219-h9b0a68f_105.tar.bz2”h0Œ@39fd856e092af78ccc4b1805306e792fe922cae980f8c579494cfec56a49d1eb”h2NhNh3Œ systemd-cos7-ppc64le ==219 *_105”Œ%systemd-libs-cos7-ppc64le ==219 *_105”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT”hBŒLGPL”hDGAØ@Œïšn˜hEJzÞ hFˆubh)”}”(hŒr-mcl”h#Œ1.0”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ"r-mcl-1.0-r41hc72bb7e_1002.tar.bz2”h+Œ 1b5f8fc9e56eceacaa46da4753dd6410”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mcl-1.0-r41hc72bb7e_1002.tar.bz2”h0Œ@5aae2d4d9190bdfcf2d7e664a326e70e0356b8ca85216a843927eafddbced7ae”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-expm”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+"§á‰7hEMGwhFˆubh)”}”(hŒwhey-pth”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#whey-pth-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ e077d130095635680fb4ae0b4bf2fd97”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/whey-pth-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@06e7869600248f93b558a070938f1f0a240b3a2511f90ae871cc99f4896d3af5”h2NhNh3Œdom-toml >=0.4.0”Œpython >=3.6”Œwhey >=0.0.15”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ™²ÊÉG®hEM¯%hFˆubh)”}”(hŒbowler”h#Œ0.8.0”h%Œpy_0”h'K hhh(h)hŒbowler-0.8.0-py_0.tar.bz2”h+Œ 26901981a104d427d24065928cc935d5”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/bowler-0.8.0-py_0.tar.bz2”h0Œ@1b1e603387258163f9be47b73de5afe76ee10fcd96da09d6e27e951368ab3e1d”h2NhNh3(Œattrs”Œclick”Œfissix”Œpython”Œsh”t”h9h?h@ŒMIT”hBŒMIT”hDGA×@QŠ«÷ÏhEMÖshFˆubh)”}”(hŒ	r-english”h#Œ1.2_6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-english-1.2_6-r41hc72bb7e_1.tar.bz2”h+Œ 0057a83165307d3f95c2bbf6ba3514b1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-english-1.2_6-r41hc72bb7e_1.tar.bz2”h0Œ@b7910abf0957b9ecb38d6a995249b55f0feb57c77412cfb91c6da5ea5f79665e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐþBaº^hEJc= hFˆubh)”}”(hŒ
pyelftools”h#Œ0.27”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$pyelftools-0.27-pyh9f0ad1d_0.tar.bz2”h+Œ 7b07c2d54a6836213f3e23625965c847”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyelftools-0.27-pyh9f0ad1d_0.tar.bz2”h0Œ@9b8b60b97377275cc789f399031efcfc5ba35be6a2fd9e04c63f75ea515e0de8”h2NhNh3Œpython”…”h9h?h@Œ	Unlicense”hDGA×æéŠáHhEJ½Â hFˆubh)”}”(hŒr-easypubmed”h#Œ2.13”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-easypubmed-2.13-r40hc72bb7e_0.tar.bz2”h+Œ a7996f00ce46ff06a24f07ae1ab0012a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-easypubmed-2.13-r40hc72bb7e_0.tar.bz2”h0Œ@71c45d5e1e27b68fdd0a1b619b2f93b6979e3200261ee7ac3e484c909569c90d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ/DYë÷ÏhEJQE hFˆubh)”}”(hŒpython-jsonrpc-server”h#Œ0.4.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ0python-jsonrpc-server-0.4.0-pyh9f0ad1d_0.tar.bz2”h+Œ c39b1300b4380779816c2e6b7d0e8e1b”h.Œ^https://conda.anaconda.org/conda-forge/noarch/python-jsonrpc-server-0.4.0-pyh9f0ad1d_0.tar.bz2”h0Œ@2a6664663a68778ec6659450045df02e1b35158f4575ca19a64a6cbb172465e3”h2NhNh3Œfuture”Œpython”Œujson >=3.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ÖÛœ/²hEM£,hFˆubh)”}”(hŒcatzzz”h#Œ0.1.6”h%Œpy_1”h'Khhh(h)hŒcatzzz-0.1.6-py_1.tar.bz2”h+Œ 14ea1c05a5f0d3898ddc2e0a4053549e”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/catzzz-0.1.6-py_1.tar.bz2”•C      h0Œ@1fd575965f952c51580367b33e0805dfc838ee044be2341a626de8e072be31cd”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖÐ1&éhEMæ$hFˆubh)”}”(hŒecmwf-api-client”h#Œ1.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+ecmwf-api-client-1.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ 15621abf59053e184114d3e1d4f9d01e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/ecmwf-api-client-1.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@f84e0a2458c72b225d85d4f43ea5cd48ca8a97bfafd2ec8094720dd352925f20”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ~ót¼jhEM0BhFˆubh)”}”(hŒr-fontliberation”h#Œ0.1.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ/r-fontliberation-0.1.0-r35h6115d3f_1002.tar.bz2”h+Œ eb3064be7a3b905f7496bc5e6bca8ff1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-fontliberation-0.1.0-r35h6115d3f_1002.tar.bz2”h0Œ@4e21b19e294aecb9c8882ce6658fa257633efa62bba1171483aefcd0c44a9d53”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒOFL-1.1”hBŒOTHER”hDGA×L(ka&éhEJƒA hFˆubh)”}”(hŒnlp-primitives-complete”h#Œ2.9.0”h%Œ
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Apache-2.0”hBŒAPACHE”hDGA×¼ùL(öhEM-hFˆubh)”}”(hŒchamp”h#Œ2.1.0”h%Œpy_1”h'Khhh(h)hŒchamp-2.1.0-py_1.tar.bz2”h+Œ 8984fb1c3881cc21729126de8c67b4ed”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/champ-2.1.0-py_1.tar.bz2”h0Œ@6f8baec1613d654462e651900ae05f6e22abeb2be06c410ea5a2e1851abf29c4”h2NhNh3(Œfuture”Œh5py”Œ	leidenalg”Œlouvain”Œmatplotlib-base”Œnumpy >=1.13”Œpandas”Œpython”Œpython-igraph”Œscikit-learn”Œscipy >=0.19”Œseaborn”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯üf6E¢hEM&ÂhFˆubh)”}”(hŒ
r-dreamerr”h#Œ1.2.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-dreamerr-1.2.3-r42hc72bb7e_1.tar.bz2”h+Œ c0a67baf1fe3e2b80d4e8678365ab3af”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dreamerr-1.2.3-r42hc72bb7e_1.tar.bz2”h0Œ@376f4caf59de374a6686b534faea9ed98f6e4071b67929c89c50d9d9909a85d7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-formula”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¸7l‹hEJ¤ hFˆubh)”}”(hŒr-pathological”h#Œ0.1_2”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ-r-pathological-0.1_2-r41hc72bb7e_1003.tar.bz2”h+Œ a3788f881c83b1c80f275d32eb3e9ab8”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pathological-0.1_2-r41hc72bb7e_1003.tar.bz2”h0Œ@8e65626fa16dbf62b81a07fddca692e907b013e182d941e5edd7fb06792cdff4”h2NhNh3(Œr-assertive.base >=0.0_3”Œr-assertive.files”Œr-assertive.numbers”Œr-assertive.properties”Œr-assertive.reflection”Œr-assertive.strings”Œr-assertive.types”Œr-base >=4.1,<4.2.0a0”Œ
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r-numderiv”Œ
r-quantreg”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØBã©O\)hEJŒ¯ hFˆubh)”}”(hŒr-uroot”h#Œ2.1_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-uroot-2.1_2-r42hc72bb7e_1.tar.bz2”h+Œ 947ef9a75e6c88f60f8f7d944279d281”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-uroot-2.1_2-r42hc72bb7e_1.tar.bz2”h0Œ@b920b0e3565ca2b74e0ccaddbd24ae96ee338652a9ddbba929bea7eaeb483ec6”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑÌ“ÉÊÁhEJÑ‚ hFˆubh)”}”(hŒr-tensor”h#Œ1.5”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ%r-tensor-1.5-r40h6115d3f_1003.tar.bz2”h+Œ 01cd32be99c9efadabffb6af5b4621bd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tensor-1.5-r40h6115d3f_1003.tar.bz2”h0Œ@623604b458d060736a5df62f854ed67102fb6a506572fc63bd31193d41d6f632”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
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r-multcomp”Œ
r-nparcomp”Œ	r-simcomp”t”h9hºh@Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÒE¥}ó¶hEJ³ hFˆubh)”}”(hŒr-splitstackshape”h#Œ1.4.8”h%Œr40h6115d3f_2”h'Khhh(h)hŒ-r-splitstackshape-1.4.8-r40h6115d3f_2.tar.bz2”h+Œ dd675a743621cb2cb83368d115c1eb7d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-splitstackshape-1.4.8-r40h6115d3f_2.tar.bz2”h0Œ@457decf7beea4c2b6215ccd0946e92352db283075575a980df008161bfc5ec1a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table >=1.9.4”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬8;ŒÌÍhEJ¶% hFˆubh)”}”(hŒ
etelemetry”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%etelemetry-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4e8578c961078a332536be2041ecc022”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/etelemetry-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6f2a07f051af06edbd0b0868271a4c1123c771b2f7f64f8565174005ebd373d1”h2NhNh3Œci-info”Œpython >=3.7”Œrequests”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ—ƒ° ÅhEMÜ$hFˆubh)”}”(hŒtiled-compression”h#Œ0.1.0a75”h%Œ
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r-nparcomp”h#Œ3.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-nparcomp-3.0-r35h6115d3f_0.tar.bz2”h+Œ ea99bab78cd011accb3060b68fd39af8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nparcomp-3.0-r35h6115d3f_0.tar.bz2”h0Œ@f0f222e33b103fd667959e8a34bc58c1104de109a0792bab345f38087356a8a7”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ
r-multcomp”Œ	r-mvtnorm”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×DØíñë…hEJ\Å hFˆubh)”}”(hŒr-mccf1”h#Œ1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-mccf1-1.1-r41hc72bb7e_1.tar.bz2”h+Œ 1b86541a6aac2f77d01a0f7f7f0a6d12”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mccf1-1.1-r41hc72bb7e_1.tar.bz2”h0Œ@6a19ce4c910ae3d8a351db6b50afc10832a166e5326ac2d12aa98b39b33a606c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-rocr”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒS$¾¸RhEMJ’hFˆubh)”}”(hŒr-formula.tools”h#Œ1.7.1”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ.r-formula.tools-1.7.1-r35h6115d3f_1002.tar.bz2”h+Œ 1ef984043e30f3326c42c233c451480a”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-formula.tools-1.7.1-r35h6115d3f_1002.tar.bz2”h0Œ@5e55f790e0c88d3a7cb37ada101c41a6553a5fad4eaea52e011f0a29ea242c64”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-operator.tools >=1.4.0”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LDe9ûçhEJX¥ hFˆubh)”}”(hŒ
r-ukbtools”h#Œ0.11.3”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-ukbtools-0.11.3-r42hc72bb7e_0.tar.bz2”h+Œ 4a9a7c7f8155ab147c350dc22b3ad29b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ukbtools-0.11.3-r42hc72bb7e_0.tar.bz2”h0Œ@0635b6c9821bf7b6614b1b5a8c13c7026dca8907f669ec4eb84e9d920b342b3f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.12”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÕ2ÐåhEJU" hFˆubh)”}”(hŒclick”h#Œ8.1.3”h%Œunix_pyhd8ed1ab_2”h'Khhh(h)hŒ%click-8.1.3-unix_pyhd8ed1ab_2.tar.bz2”h+Œ 20e4087407c7cb04a40817114b333dbf”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/click-8.1.3-unix_pyhd8ed1ab_2.tar.bz2”h0Œ@23676470b591b100393bb0f6c46fe10624dcbefc696a6a9f42932ed8816ef0ea”h2NhNh3Œ__unix”Œpython >=3.8”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÖTÀ/hEJ) hFˆubh)”}”(hŒalchemical-analysis”h#Œ1.0.2”h%Œpy_0”h'K hhh(h)hŒ&alchemical-analysis-1.0.2-py_0.tar.bz2”h+Œ 94a851d83511f0eb2cb551c89f506443”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/alchemical-analysis-1.0.2-py_0.tar.bz2”h0Œ@30c541a6131c705a83d570e0f3767c49a3e4952fd7a39bb6cebb41aa65b81eb7”h2NhNh3(Œ
matplotlib”Œnumpy”Œpymbar”Œ	python <3”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGA×0Ä±“÷ÏhEM¢hFˆubh)”}”(hŒr-xopen”h#Œ1.0.0”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ&r-xopen-1.0.0-r36h6115d3f_1003.tar.bz2”h+Œ a6c59ddd292e24f00dd76b51d46ba3dd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xopen-1.0.0-r36h6115d3f_1003.tar.bz2”h0Œ@273a33f965a1dda86d0fe7d030c77014711717381f2d63eafe9519112a85ff6c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÑö`ßl‹hEM
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r-jsonlite”Œ
r-promises”Œr-shiny >=0.9.0”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×:ûQ\)hEJæ hFˆubh)”}”(hŒfiguregenerator”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*figuregenerator-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 36eb12672f8d9e2631e63727aa758320”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/figuregenerator-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@91ac392355ef01ad6a2d0dc4113c492cfd4ab390a7ad3461ae0d1eac38bd3d6d”h2NhNh3(Œblack”Œcoverage”Œ
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r-jsonlite”Œ
r-lazyeval”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØa-{SøhEJÒÀ hFˆubh)”}”(hŒ
lume-astra”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%lume-astra-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 97b8d8fae11af74c7bf660c931d88832”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/lume-astra-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1b5cd533ce0581cb152c4398ac436fc768699225ef54444b4133304b7d77a067”h2NhNh3(Œdistgen”Œnumpy”Œopenpmd-beamphysics”Œpython >=3.6”t”h9h?h@Œ
APACHE-2.0”hBŒAPACHE”hDGAØ}¶Äé™šhEM\—hFˆubh)”}”(hŒ
eulexistdb”h#Œ0.21.1”h%Œpy_1”h'Khhh(h)hŒeulexistdb-0.21.1-py_1.tar.bz2”h+Œ 5b67fc0f512c04fff85743808b2aa2b7”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/eulexistdb-0.21.1-py_1.tar.bz2”h0Œ@ae28f8f94398d5c380e35c0511fc5142d1bca4520a442fc7b0dd2b25bd24f840”h2NhNh3Œeulxml”Œpython”Œrequests”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÖÏáý²-hEMƒ¶hFˆubh)”}”(hŒ python-javapackages-cos7-ppc64le”h#Œ3.4.1”h%Œha826a6f_103”h'Kghhh(h)hŒ;python-javapackages-cos7-ppc64le-3.4.1-ha826a6f_103.tar.bz2”h+Œ 48cebf1ed71f229baac8b6ff4ff7f023”h.Œihttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-ppc64le-3.4.1-ha826a6f_103.tar.bz2”h0Œ@ba59559526b0b6fd716a5646082de5b09f1e19b053676aa68c49730095400aea”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/
¤¬hEMy2hFˆubh)”}”(hŒpypydispatcher”h#Œ2.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pypydispatcher-2.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 03fe10770f3c140ab0575d993b61458d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pypydispatcher-2.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9a8f0d991e913d7d127401d7e9e96b25431eb054aba0279e6821fdba78568981”h2NhNh3Œ
python >=3”…”h9h?h@ŒBSD-3-Clause-Clear”hBŒBSD”hDGAØ‘áø  hEM%5hFˆubh)”}”(hŒr-cbioportalr”h#Œ1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-cbioportalr-1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ a4212daca3b4aae5de4bcf8eabe87de8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-cbioportalr-1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@7706f74fb0b758ec5513d5b2c0a83f82081a9f5c4da0b3b1587262c494f01d87”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.3.0”Œr-dplyr >=1.0.9”Œr-glue >=1.6.2”Œr-httr >=1.4.3”Œr-jsonlite >=1.8.0”Œr-magrittr >=2.0.3”Œr-purrr >=0.3.4”Œr-rlang >=1.0.3”Œr-stringr >=1.4.0”Œr-tibble >=3.1.7”Œr-tidyr >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒœh<9XhEJƒÀ hFˆubh)”}”(hŒ	r-htmltab”h#Œ0.8.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-htmltab-0.8.2-r41hc72bb7e_1.tar.bz2”h+Œ 1193f9d211451baaf34a78880903a7cc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-htmltab-0.8.2-r41hc72bb7e_1.tar.bz2”h0Œ@247e877c282eaad063068788ae5fbee8ca4a92f8d388bd246d4a9f3827ccd4f9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr >=1.0.0”Œr-xml >=3.98.1.3”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒi*õÃhEJ*£ hFˆubh)”}”(hŒr-label.switching”h#Œ1.8”h%Œr35h6115d3f_0”h'K hhh(h)hŒ+r-label.switching-1.8-r35h6115d3f_0.tar.bz2”h+Œ fd9277ed1a5e45a3080447fc2cf34f06”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-label.switching-1.8-r35h6115d3f_0.tar.bz2”h0Œ@aaa3b72a50f24c4ebe3aeead4f498d4a88a1790f88149fd5fc05cd1aa5167305”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-combinat”Œ	r-lpsolve”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Tz	xÕhEJN— hFˆubh)”}”(hŒpx4tools”h#Œ0.9.6”h%Œpy_1001”h'Méhhh(h)hŒpx4tools-0.9.6-py_1001.tar.bz2”h+Œ 347105811ca6de36fc4ce8ddb7795605”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/px4tools-0.9.6-py_1001.tar.bz2”h0Œ@7c7021f5ad42dc822789c1370661b914221a4d4952002d160718fc512dc3ef43”h2NhNh3(Œbasemap”Œcontrol >=0.7.0”Œmatplotlib-base >=2.2.2”Œnumpy >=1.13.3”Œpandas >=0.23.1”Œ
python >=3”Œpython-dateutil >=2.5.0”Œpyulog >=0.6.0”Œscipy >=1.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‘¯}ÒòhEMohFˆubh)”}”(hŒr-conflr”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-conflr-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ b7cddd1649f578986ad901fb12566399”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-conflr-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@2ee42a557a2f279ac0cd106e20b6a26f662ade35a41d70903d56e577a80bcc9f”h2NhNh3(Œ	r-askpass”Œr-base >=4.1,<4.2.0a0”Œr-commonmark”Œr-curl”Œr-glue”Œr-httr”Œr-knitr”Œr-miniui”Œr-purrr”Œr-r6”Œr-rlang”Œr-rmarkdown”Œr-rstudioapi”Œr-shiny”Œ	r-stringi”Œr-xml2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ,ÄÌÍhEJq†
 hFˆubh)”}”(hŒ
r-rdetools”h#Œ1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-rdetools-1.0-r41hc72bb7e_1.tar.bz2”h+Œ 9aca9856934576f0ffa9ea7bedf31b42”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rdetools-1.0-r41hc72bb7e_1.tar.bz2”h0Œ@0ebef281eb608432d142fe7c0dc027252f7f949ecca28940aee43e6c97d3fd81”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÕNà ÅhEJÒ— hFˆubh)”}”(hŒpciutils-libs-cos7-ppc64le”h#Œ3.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6pciutils-libs-cos7-ppc64le-3.5.1-h9b0a68f_1105.tar.bz2”h+Œ 9fc1c3cb2a6536a1d79fcb3658c9d9a3”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-ppc64le-3.5.1-h9b0a68f_1105.tar.bz2”h0Œ@6dfe191c980ec5e2a66a2689dc3d4c95d96792432e06d1a562e8d70250a0aafe”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@‰,ž{hEMœhFˆubh)”}”(hŒlibice-devel-cos7-ppc64le”h#Œ1.0.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libice-devel-cos7-ppc64le-1.0.9-h9d98e8f_104.tar.bz2”h+Œ 3ac63df32cf3fd037b7660d017fcb263”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-ppc64le-1.0.9-h9d98e8f_104.tar.bz2”h0Œ@a9347251a3bb395328b6695f31530d8c43d1001b6b7482659b3f793e9f8c47a8”h2NhNh3Œ!libice-cos7-ppc64le ==1.0.9 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz
à ÅhEMˆœhFˆubh)”}”(hŒr-batchjobs”h#Œ1.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-batchjobs-1.9-r41hc72bb7e_0.tar.bz2”h+Œ 5958b188094d8a2e4db749b653e7fd11”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-batchjobs-1.9-r41hc72bb7e_0.tar.bz2”h0Œ@32080eabac5034a86e5b434da35ce7620a49a2d019f87c066eeff6a3f3af0011”h2NhNh3(Œr-backports >=1.1.1”Œr-base >=4.1,<4.2.0a0”Œr-bbmisc >=1.9”Œr-brew”Œr-checkmate >=1.8.0”Œr-data.table >=1.9.6”Œr-dbi”Œr-digest”Œr-rsqlite >=1.0.9011”Œr-sendmailr”Œr-stringi >=0.4_1”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØŽ=Æ€“uhEJ®Ù hFˆubh)”}”(hŒr-rpivottable”h#Œ0.3.0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ)r-rpivottable-0.3.0-r36h6115d3f_2.tar.bz2”h+Œ 90a06ff4794c694bbf9af22afd023441”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rpivottable-0.3.0-r36h6115d3f_2.tar.bz2”h0Œ@77ad4a1e553f0c5449a84d2a18d0f4be4edc3715e462f5bab5958e2f0a059a83”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-htmlwidgets >=0.5”†”h9hºh@ŒMIT”hBŒMIT”hDGA×¬@µÐ£×hEJËö hFˆubh)”}”(hŒpciutils-libs-cos7-aarch64”h#Œ3.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6pciutils-libs-cos7-aarch64-3.5.1-h9d98e8f_1104.tar.bz2”h+Œ 32b8116553eabd884c29a5d877c78e0f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-aarch64-3.5.1-h9d98e8f_1104.tar.bz2”h0Œ@3e139469b8fb682caa910c699330d15836c65a02222c244b0005ead043d95955”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Éy¬¨QìhEMî™hFˆubh)”}”(hŒlibnl-cos7-aarch64”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ-libnl-cos7-aarch64-1.1.4-ha826a6f_103.tar.bz2”h+Œ 634c1a98ded431c93b6c0485601d28c1”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-aarch64-1.1.4-ha826a6f_103.tar.bz2”h0Œ@caedc37c7789b60fee7690344e112ed01047b63e6b5eedbb1072cad52443eead”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ/vûçhEJ5; hFˆubh)”}”(hŒ	pydotplus”h#Œ2.0.2”h%Œpy_2”h'Khhh(h)hŒpydotplus-2.0.2-py_2.tar.bz2”h+Œ fab1face1195dc1dd283b8159abd0199”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pydotplus-2.0.2-py_2.tar.bz2”h0Œ@4c8666a2377380a4c32e8f64181b10dbc4c130212ec1b38c078a5973024da096”h2NhNh3Œgraphviz”Œpyparsing >=2.0.1”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×èD]?}hEM2\hFˆubh)”}”(hŒr-shinyhelper”h#Œ0.3.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-shinyhelper-0.3.2-r41hc72bb7e_1.tar.bz2”h+Œ c8ca44afb560acb62fea6e8fa68af6b1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinyhelper-0.3.2-r41hc72bb7e_1.tar.bz2”h0Œ@b04e0859eb930de3b462d3cda935b8ebb2723483af130b5a586f13ea7d719aad”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-markdown”Œr-shiny”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+õ[JáHhEJ± hFˆubh)”}”(hŒr-inline”h#Œ0.3.19”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-inline-0.3.19-r40hc72bb7e_0.tar.bz2”h+Œ af1c0623abb430fe09c046668f512544”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-inline-0.3.19-r40hc72bb7e_0.tar.bz2”h0Œ@21dd11de500bbd229c9e6b1bb9304b4a6b80a910d3f5c7f0fbe0359478dfd51f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ-4D¬hEJm@ hFˆubh)”}”(hŒpython-memcached”h#Œ1.59”h%Œpy_0”h'K hhh(h)hŒ"python-memcached-1.59-py_0.tar.bz2”h+Œ d6cec5e5cffc07a9f7447c3d9bbaae7a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/python-memcached-1.59-py_0.tar.bz2”h0Œ@d8bf656fbc3ef033321adb7bb87a5aa49e7914595aed191853a045b85fcd0af8”h2NhNh3Œpython”Œsix >=1.4.0”†”h9h?h@ŒPSF 2.0”hBŒPSF”hEM/`hFˆubh)”}”(hŒ	r-mapedit”h#Œ0.6.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-mapedit-0.6.0-r40h6115d3f_1.tar.bz2”h+Œ 9c01210c71ed7679fc4f178f95c500d7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mapedit-0.6.0-r40h6115d3f_1.tar.bz2”•,      h0Œ@81c4fc299f84de1fe59018b5af032886942388c3f2d80bb0f231b887606267ce”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-leaflet.extras >=1.0”Œr-leafpm”Œ	r-mapview”Œr-miniui”Œr-sf >=0.5_2”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬±_™XhEJïð hFˆubh)”}”(hŒr-pmml”h#Œ2.5.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-pmml-2.5.2-r41hc72bb7e_0.tar.bz2”h+Œ 752170c5fd1042b2fbede47fc10f686d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pmml-2.5.2-r41hc72bb7e_0.tar.bz2”h0Œ@8b6d52aa9b796a701ee4b206692df058de47706b62efcfcb98bd36f6a6d9f2aa”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-stringr”Œr-xml”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØˆŠqÍ/hEJHA
 hFˆubh)”}”(hŒr-testit”h#Œ0.13”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-testit-0.13-r40hc72bb7e_0.tar.bz2”h+Œ 0ae7fdd9d9e136d02726a4b64eb1bb5d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-testit-0.13-r40hc72bb7e_0.tar.bz2”h0Œ@e2eba0d68543f171a92c6efd11053a80e1c1937a55bdc4aa92665604a77fa9c8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØÉá„9XhEM‰ÂhFˆubh)”}”(hŒproperty-manager”h#Œ3.0”h%Œpy_0”h'K hhh(h)hŒ!property-manager-3.0-py_0.tar.bz2”h+Œ a6da492df105d85ec943b99db66c02b1”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/property-manager-3.0-py_0.tar.bz2”h0Œ@f58e0208b829f5dffbb23fa8cd08139af7443e1e3c4358a0d96b4f5e864ba154”h2NhNh3Œhumanfriendly >=4.12”Œpython”Œverboselogs >=1.1”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×—;µ"-hEMŒXhFˆubh)”}”(hŒlibglvnd-opengl-cos7-aarch64”h#Œ1.0.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7libglvnd-opengl-cos7-aarch64-1.0.1-h9d98e8f_104.tar.bz2”h+Œ 88dad1eb65fba8daa6b43de9731ad374”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libglvnd-opengl-cos7-aarch64-1.0.1-h9d98e8f_104.tar.bz2”h0Œ@d08be755e95fa5a3d053344608c24d3dd8fe0ac3b81d69ea9dfc1252754bc6b5”h2NhNh3Œ#libglvnd-cos7-aarch64 ==1.0.1 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ59\XhEMûïhFˆubh)”}”(hŒwebkitgtk-devel-cos6-x86_64”h#Œ1.4.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7webkitgtk-devel-cos6-x86_64-1.4.3-h9d98e8f_1104.tar.bz2”h+Œ 017d9c640f6262f465cf498f0570d080”h.Œehttps://conda.anaconda.org/conda-forge/noarch/webkitgtk-devel-cos6-x86_64-1.4.3-h9d98e8f_1104.tar.bz2”h0Œ@72689663ac0bcaaa9dab7506165f9492ee1583c7c8b77fd6d73a297c5b2ceaa1”h2NhNh3Œsysroot_linux-64 2.12.*”Œ$webkitgtk-cos6-x86_64 ==1.4.3 *_1104”†”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGA×É{c33hEJy hFˆubh)”}”(hŒdatabroker-pack”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*databroker-pack-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ dbc724f0dd26c25674ebf4f50305900a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/databroker-pack-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4445821003f8e34c8b4d724839a94eed8d6725aac04f8e7ddd4101a373e33849”h2NhNh3(Œdatabroker >=1.0.5”Œevent-model”Œintake >=0.6.0”Œpython >=3.6”Œsuitcase-jsonl”Œsuitcase-msgpack”Œsuitcase-utils”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ@‰›yÊÁhEMUhFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-aarch64”h#Œ1.20.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ@xorg-x11-server-common-cos7-aarch64-1.20.4-hdf0574f_1102.tar.bz2”h+Œ a7e3c2ad310172bf32d22f8e0a69760b”h.Œnhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-aarch64-1.20.4-hdf0574f_1102.tar.bz2”h0Œ@480d271f5df83280cb37880d8e6463ee3940dfca6ea4bc9f1acb717ee3de7e7f”h2NhNh3Œ#pixman-cos7-aarch64 >=0.30.0 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;µ°A‰hEMÿhFˆubh)”}”(hŒjax”h#Œ0.3.25”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒjax-0.3.25-pyhd8ed1ab_0.tar.bz2”h+Œ 64bf7260d55ae3138f63706d11957d89”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/jax-0.3.25-pyhd8ed1ab_0.tar.bz2”h0Œ@7ecefe8db80dcdedfd62058b68344a2625a5d7122556ab2f66284c85ed21d250”h2NhNh3(Œjaxlib >=0.3.22”Œnumpy >=1.20”Œ
opt_einsum”Œpython >=3.7”Œscipy >=1.5”Œtyping_extensions”t”h9h?h@Œ
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tensorflow”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÍ™_+hEJ§› hFˆubh)”}”(hŒlibxtst-cos6-x86_64”h#Œ1.2.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libxtst-cos6-x86_64-1.2.3-h9b0a68f_105.tar.bz2”h+Œ 1fd4eb9809465bad844cde095b8e6230”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxtst-cos6-x86_64-1.2.3-h9b0a68f_105.tar.bz2”h0Œ@485e5ec7236cacffc0c3bc8b2f9cbc7503bfe318dfcd725ace932ceade1caf8d”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ZÌ(öhEM†AhFˆubh)”}”(hŒdask”h#Œ1.2.2”h%Œpy_1”h'Khhh(h)hŒdask-1.2.2-py_1.tar.bz2”h+Œ 7fc75688f77c4265aff4530e1db52915”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/dask-1.2.2-py_1.tar.bz2”h0Œ@1f6a7980f0686db378eed08a3adfe815f19b4db389bc6ab669dee4f6a3ac0bcf”h2NhNh3(Œbokeh >=0.13.0,<3”Œcloudpickle >=0.2.1”Œcytoolz >=0.7.3”Œdask-core 1.2.2.*”Œdistributed >=1.28.0”Œnumpy >=1.13.0”Œpandas >=0.21.0”Œpartd >=0.3.8”Œpython”Œtoolz >=0.7.3”t”h9h?h@ŒBSD 3-Clause”hDGA×:Ó¥3çmhEM¦hFˆubh)”}”(hŒ
r-ldrtools”h#Œ0.2_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-ldrtools-0.2_1-r41hc72bb7e_1.tar.bz2”h+Œ b307d34469a52e3c7f3df95ce4242a21”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ldrtools-0.2_1-r41hc72bb7e_1.tar.bz2”h0Œ@2a316588701611f6527d5ba55f22362ea9352dec0f9ae20f240fc5e7ccbf302e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+# “çmhEM[ÆhFˆubh)”}”(hŒr-nanostringr”h#Œ0.4.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-nanostringr-0.4.0-r40hc72bb7e_0.tar.bz2”h+Œ cf27c1858553ae127a7b9e3612b860fa”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-nanostringr-0.4.0-r40hc72bb7e_0.tar.bz2”h0Œ@124ba9d2fcf660a52084e3bf4369ec8dc2a3a2122c52b0786f40eec53818c0a6”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-ccapp”Œr-dplyr”Œr-epir”Œ	r-forcats”Œ
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GPL (>= 3)”hBŒGPL3”hDGA×Mw hEMH”hFˆubh)”}”(hŒdjango-rest-polymorphic”h#Œ0.1.9”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ2django-rest-polymorphic-0.1.9-pyh9f0ad1d_0.tar.bz2”h+Œ 2f551749952c0bf257e4f15c2cf0791e”h.Œ`https://conda.anaconda.org/conda-forge/noarch/django-rest-polymorphic-0.1.9-pyh9f0ad1d_0.tar.bz2”h0Œ@24942253b632449b7b2b34035378fe0419aba71feb69621e32ac7cc52243782c”h2NhNh3(Œdjango”Œdjango_polymorphic”Œdjangorestframework”Œpython”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×±«t(öhEM"hFˆubh)”}”(hŒmolvs”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒmolvs-0.1.1-py_0.tar.bz2”h+Œ 854228bfbba656877e60d71ca183f2f0”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/molvs-0.1.1-py_0.tar.bz2”h0Œ@2b3c8638d99dd23345f9f5122c52f052628585ac84ce48b8c66e384d98f3995c”h2NhNh3Œpython”Œrdkit”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖµæIC"ÑhEMGehFˆubh)”}”(hŒ	pubchempy”h#Œ1.0.4”h%Œpy_0”h'K hhh(h)hŒpubchempy-1.0.4-py_0.tar.bz2”h+Œ 1e7b977edfdb4236424321629ca83b1c”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pubchempy-1.0.4-py_0.tar.bz2”h0Œ@d47fbcf1f05c1d05f70d65c80018e79d4a84b18a98653f5475519b808ed7e845”h2NhNh3Œpandas >=0.16.2”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×tÅ/hEMè?hFˆubh)”}”(hŒglib2-devel-cos6-x86_64”h#Œ2.28.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4glib2-devel-cos6-x86_64-2.28.8-h9b0a68f_1105.tar.bz2”h+Œ c1ce0801c333980f4f965bf66beffecc”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos6-x86_64-2.28.8-h9b0a68f_1105.tar.bz2”h0Œ@7cacfd046c0adce3a04e0c8673d3d3756c46d3d9c655c2a2279dcf0a6a83289c”h2NhNh3Œ!glib2-cos6-x86_64 ==2.28.8 *_1105”Œ#pkgconfig-cos6-x86_64 >=0.14 *_1105”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@Yƒ£¶FhEJ hFˆubh)”}”(hŒ	lunardate”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒlunardate-0.2.0-py_0.tar.bz2”h+Œ 632e032aead2d4172ee8de73d11b8d34”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/lunardate-0.2.0-py_0.tar.bz2”h0Œ@ddb054f9ef8c8dd09cfadd898cc4e2810a4de2e9ee5cce51388d4d29c09fac21”h2NhNh3Œpython”…”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×Z ¼ÌÍhEM»ShFˆubh)”}”(hŒr-trimcluster”h#Œ0.1_5”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-trimcluster-0.1_5-r40h6115d3f_1.tar.bz2”h+Œ 1cd67653f10523504186afac6ae2c9cd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-trimcluster-0.1_5-r40h6115d3f_1.tar.bz2”h0Œ@3a3c2c64ec04008b4271333efaf6995c8b154a0848cb4fd21c2b39477d54c28b”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬Iì”ýôhEM¢hFˆubh)”}”(hŒmesa-libegl-devel-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ:mesa-libegl-devel-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h+Œ beabf1ca3a4c036028ed8991125d4c6f”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@5ceb3362ab7ff18843601f82ead3b9f321ed7c8a974d8cc632a5e480c604253b”h2NhNh3Œ*mesa-khr-devel-cos7-aarch64 ==18.3.4 *_105”Œ'mesa-libegl-cos7-aarch64 ==18.3.4 *_105”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^¢Mp¤hEMCNhFˆubh)”}”(hŒr-mdmr”h#Œ0.5.1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ"r-mdmr-0.5.1-r40h6115d3f_2.tar.bz2”h+Œ 0a4f19938d98bc4e6665ce7e7177d2f6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mdmr-0.5.1-r40h6115d3f_2.tar.bz2”h0Œ@96b88b75196b94b32a5aaa411b8258e0ccef96494d9836eae5ade2825515bf8c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-car”Œr-compquadform”Œr-lme4”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬­Ì¼(öhEJIñ hFˆubh)”}”(hŒstarlette-context”h#Œ0.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,starlette-context-0.3.4-pyhd8ed1ab_0.tar.bz2”h+Œ d0ad3bd79dceec80cefe29be4a1a3410”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/starlette-context-0.3.4-pyhd8ed1ab_0.tar.bz2”h0Œ@0cf59435ed62e67350075da7b3244066f4a52266fa3624fc77e09d0259cf0483”h2NhNh3Œpython >=3.7”Œ	starlette”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÝÏ&è1'hEM 5hFˆubh)”}”(hŒfissix”h#Œ21.11.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$fissix-21.11.13-pyhd8ed1ab_0.tar.bz2”h+Œ e146d4cd1de6b2185a43f2484ec10020”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fissix-21.11.13-pyhd8ed1ab_0.tar.bz2”h0Œ@4cfb00a22b04f916db51fd18a1dada00e65bbedfe5754313ba7f2df4ee285b54”h2NhNh3Œappdirs”Œpython >=3.6”†”h9h?h@ŒPSF-2.0”hBŒPSF”hDGAØe’TñÊÁhEJl! hFˆubh)”}”(hŒ
r-rcapture”h#Œ1.4_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-rcapture-1.4_4-r41hc72bb7e_0.tar.bz2”h+Œ d05a0c5a0467bc2814d200f6bdc58734”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rcapture-1.4_4-r41hc72bb7e_0.tar.bz2”h0Œ@1f7c5836662f9d965ff12411e98de055c58a40f3339932208889a6ff95092f68”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØœªºW|îhEJÊ hFˆubh)”}”(hŒ	r-webshot”h#Œ0.5.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-webshot-0.5.4-r41hc72bb7e_1.tar.bz2”h+Œ 2ca53d6d91afd9ba17b7e96f5dbb6ed5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-webshot-0.5.4-r41hc72bb7e_1.tar.bz2”h0Œ@94427f01b8ecd2ae9f13f81661182ca9606a319fcd796eb4bdede30d589c9c41”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-callr”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐP:bhEJ²) hFˆubh)”}”(hŒmesa-libgl-devel-cos6-x86_64”h#Œ11.0.7”h%Œha826a6f_103”h'Kghhh(h)hŒ8mesa-libgl-devel-cos6-x86_64-11.0.7-ha826a6f_103.tar.bz2”h+Œ c0dd041f55327bef20d65ddde19a04e7”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos6-x86_64-11.0.7-ha826a6f_103.tar.bz2”h0Œ@5b481f0864e2248520511293c69e3747bb4a8c40eca1cbfcc881e2d473546e12”h2NhNh3Œ%mesa-libgl-cos6-x86_64 ==11.0.7 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2>Q©ühEJëð hFˆubh)”}”(hŒ'dtool_lookup_server_notification_plugin”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒBdtool_lookup_server_notification_plugin-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 1a9114d67d2fbead2f4bb482e2390298”h.Œphttps://conda.anaconda.org/conda-forge/noarch/dtool_lookup_server_notification_plugin-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c6e7f28284a89711af93be2d7adcfece33f1ac40cd0a9071e497d4df14d330be”h2NhNh3(Œdtool_lookup_server >=0.17.2”Œdtoolcore >=3.17.0”Œmarkupsafe <=2.0.1”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŠJu<ZhEMÁAhFˆubh)”}”(hŒr-matrix.utils”h#Œ0.9.8”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ*r-matrix.utils-0.9.8-r40hc72bb7e_1.tar.bz2”h+Œ f0140301201347dbc5a836ed3035a488”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-matrix.utils-0.9.8-r40hc72bb7e_1.tar.bz2”h0Œ@3ed64910b989a68b8b6359b17b8607da6d8c8e150c3cdf1e01a1e26b326d05d3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-grr”Œr-matrix”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+"»¦‡+hEJ_f hFˆubh)”}”(hŒlibxinerama-devel-cos7-aarch64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ:libxinerama-devel-cos7-aarch64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ 0b74345f4c48d9c92b52b9a372f863b0”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos7-aarch64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@3f351735c23bea402b40da7e3ea8a0d4ccff1061cd5489adc0f9adc630d0871a”h2NhNh3Œ'libxinerama-cos7-aarch64 ==1.1.3 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3:µÒòhEM’'hFˆubh)”}”(hŒjupyterlab_iframe”h#Œ0.4.4”h%Œpyh76afe40_0”h'K hhh(h)hŒ,jupyterlab_iframe-0.4.4-pyh76afe40_0.tar.bz2”h+Œ 28edff4e7377f7dd7265952f716419d8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_iframe-0.4.4-pyh76afe40_0.tar.bz2”h0Œ@8bb5202c1b2922517b26aa9e5303e67914a920704006f4db6af2cc1c5a99b194”h2NhNh3(Œjupyterlab >=3.0.0”Œpython >=3.7”Œrequests >=2.22.0”Œtornado >=6.0.0”Œtornado-proxy-handlers >=0.0.5”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ•8äãdZhEM~hFˆubh)”}”(hŒr-wkb”h#Œ0.4_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-wkb-0.4_0-r40hc72bb7e_0.tar.bz2”h+Œ d471d6a414103d0cd4435abb0e41601d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-wkb-0.4_0-r40hc72bb7e_0.tar.bz2”h0Œ@4fe241d1330cf4204098e5f19161076d1fd5c7f6d734ea9669f2b95843e6c4ca”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-sp”†”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×ý?"Åó¶hEJ2 hFˆubh)”}”(hŒxlrd3”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ xlrd3-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ acb9a576afde56928685ccfefda62848”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/xlrd3-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4e0b6a837d154e9ea647b2ab6dd8440ff14feb2382ea77874832de431face3ae”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÜÓÙ'l‹hEJ+g hFˆubh)”}”(hŒr-mccf1”h#Œ1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-mccf1-1.1-r42hc72bb7e_1.tar.bz2”h+Œ 76f88bebab238a943682b6832feea6a6”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mccf1-1.1-r42hc72bb7e_1.tar.bz2”h0Œ@fab66ec688420ae783926f3e165e4edd167843b7d6b0d231d9434dcb9787cbce”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-rocr”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒS8£×hEM“’hFˆubh)”}”(hŒmesa-khr-devel-cos7-x86_64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ7mesa-khr-devel-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 3789e2faa03d65ba81f1d004655b6c7f”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@0cc78442638fd597538cd9633525b025e3f7b942aa4a2bddaaba2a19a483b825”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+üÌÍhEM“hFˆubh)”}”(hŒstructdbrest”h#Œ0.0.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'structdbrest-0.0.1-pyhd8ed1ab_1.tar.bz2”h+Œ 8767ddb92ee92f8e781e32d6a8c3d10a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/structdbrest-0.0.1-pyhd8ed1ab_1.tar.bz2”h0Œ@61db30a6e7121868eb3311b6a6685c22e83ac79e160f2cb21f17f872d17f91d5”h2NhNh3(Œ
ase >=3.18”Œnumpy”Œpandas”Œpython >=3.6”Œrequests”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØO Ü¼jhEMp_hFˆubh)”}”(hŒaiomqtt”h#Œ0.1.3”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ"aiomqtt-0.1.3-pyh6c4a22f_0.tar.bz2”h+Œ 8a3b2ea1939f100f510b11c7696acdb5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/aiomqtt-0.1.3-pyh6c4a22f_0.tar.bz2”h0Œ@f682bafda007b8a7296ec7cf0dd5de518dc3b7f629b91a1c3d8d14a6af6fb76f”h2NhNh3Œpaho-mqtt >=1.3.0”Œpython”†”h9h?h@ŒEPL-1.0”hDGAØ1àðSt¼hEM4.hFˆubh)”}”(hŒr-gghighlight”h#Œ0.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ)r-gghighlight-0.4.0-r42hc72bb7e_0.tar.bz2”h+Œ 5d9df007555369cbc4037a026d7553c5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gghighlight-0.4.0-r42hc72bb7e_0.tar.bz2”h0Œ@c582d61115d3b265a6d1c10e0e024cb1d72d2f0dfb725dbf3e575e3350d1fb92”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-ggplot2 >=3.0.0”Œ	r-ggrepel”Œr-lifecycle”Œr-purrr”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒá Ž¸RhEJ,= hFˆubh)”}”(hŒbranca”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!branca-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 836c975d3ae4f21c3cd047c10b15a7cf”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/branca-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@b0d91844c13d6643d554c6e0cfbcb643c01f2aaeb1cf411d53428aaff5a2e087”h2NhNh3(Œjinja2”Œ
python >=3”Œ
setuptools”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×û+÷ 1'hEMhhFˆubh)”}”(hŒ
stringcase”h#Œ1.2.0”h%Œpy_0”h'K hhh(h)hŒstringcase-1.2.0-py_0.tar.bz2”h+Œ 26a9caf3173939377bac7152379daac0”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/stringcase-1.2.0-py_0.tar.bz2”h0Œ@ebd515c57537799ee7829055fe9aa93d1c4695334b991fe1de9d7947f53f18f2”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×uòÝ/hEM†hFˆubh)”}”(hŒlibrdmacm-cos7-ppc64le”h#Œ22.4”h%Œha826a6f_103”h'Kghhh(h)hŒ0librdmacm-cos7-ppc64le-22.4-ha826a6f_103.tar.bz2”h+Œ 4ba461f262d43e73aea63ad7611b385a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-ppc64le-22.4-ha826a6f_103.tar.bz2”h0Œ@0cd7902a4e76e21f018559b8d69df1addde19c60571773fbe8cccbfe5229f737”h2NhNh3Œ$libibverbs-cos7-ppc64le ==22.4 *_103”Œ#rdma-core-cos7-ppc64le ==22.4 *_103”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,Ô«"ÑhEJ², hFˆubh)”}”(hŒtiled-array”h#Œ0.1.0a75”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ'tiled-array-0.1.0a75-hd8ed1ab_0.tar.bz2”h+Œ 840429105480e271fb6073e48e2bd356”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/tiled-array-0.1.0a75-hd8ed1ab_0.tar.bz2”h0Œ@7b9fbcc44b102efd7acaf5e2c4321b19ef524452f0cd6f7bd7c699e1bbf3805f”h2NhNh3Œdask”Œnumpy”Œtiled-base >=0.1.0a.75,<0.1.1a”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÒq•îÈ´hEMfhFˆubh)”}”(hŒjamo”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒjamo-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ d5c64a04fff759f18e818c98acdad7f8”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/jamo-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a04540ead2bd5ce608b068ca60029cfa054a516ab6496b5f4f3f2c7e3e87246f”h2NhNh3Œpython >=3.0”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÎ-‰<ZhEM·@hFˆubh)”}”(hŒr-arm”h#Œ1.13_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-arm-1.13_1-r41hc72bb7e_0.tar.bz2”h+Œ 3ba4d6bbae654f07ac9a9319d6e6d462”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-arm-1.13_1-r41hc72bb7e_0.tar.bz2”h0Œ@8604c39fe6d73dd0f2732345af3f51244023071e8d99a4f52cc2b8fb6757e70b”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-coda”Œr-hmisc”Œr-lme4 >=1.0”Œr-mass”Œr-matrix >=1.0”Œr-nlme”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÃ}ª¬hEJd hFˆubh)”}”(hŒr-genemodel”h#Œ1.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-genemodel-1.1.0-r40h6115d3f_1.tar.bz2”h+Œ 98381c804f01a3d0e90ce8e8177ce436”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-genemodel-1.1.0-r40h6115d3f_1.tar.bz2”h0Œ@d9e677ad15fbddc729ba568ac46a6470e69f9cd65142dc1c5af27e24732410fb”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-stringr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬Êìî§ðhEJy4 hFˆubh)”}”(hŒhologridgen”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&hologridgen-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ c8e94fbadee9706a39c6d619a9d3ac6b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/hologridgen-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@ee07162dba367865b9deab743aa72fcffa967e757d12879c41b1477f76a5fd96”h2NhNh3(Œgeopandas >=0.8.1”Œgeoviews”Œholoviews >=1.13.5”Œpanel >=0.10.0”Œparam >=1.10.0”Œpygridgen >0.2”Œpython >=3.5”t”h9h?h@ŒCC0-1.0”hDGA×íl´(öhEM‘7hFˆubh)”}”(hŒr-matrixcalc”h#Œ1.0_6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-matrixcalc-1.0_6-r41hc72bb7e_1.tar.bz2”h+Œ cac54917552ee57610066b9ec09b41c2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-matrixcalc-1.0_6-r41hc72bb7e_1.tar.bz2”h0Œ@324536043db022ffbb65d1bf924323fd2afeaeb06ae527b06983c1632ef1dd8f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐ¿áG®hEJÛo hFˆubh)”}”(hŒr-r2dii.match”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-r2dii.match-0.1.3-r41hc72bb7e_0.tar.bz2”h+Œ 32a38af6f84a622848659f4301d92963”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-r2dii.match-0.1.3-r41hc72bb7e_0.tar.bz2”h0Œ@1d74e8967ea6f59ffee9dab24e8e9ee48160b6cf51040c78813191fcf274cb84”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-dplyr >=0.8.5”Œr-glue”Œ
r-magrittr”Œr-purrr”Œr-r2dii.data”Œr-rlang”Œr-stringdist”Œ	r-stringi”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÙ(¹xÕhEJ„Å hFˆubh)”}”(hŒshedsidewinder”h#Œ0.0.5”h%j3G h'K hhh(h)hŒshedsidewinder-0.0.5-0.tar.bz2”h+Œ 1d4a89ef0980f5537cbc6f824869ae3d”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/shedsidewinder-0.0.5-0.tar.bz2”h0Œ@278407008b63f72c286ac51867d0ddcb46f3eccf04690d7dd097ce3c2175392b”h2NhNh3(Œbluesky”Œ
databroker”Œfabio”Œh5py”Œnumpy”Œpyfai”Œpython >=3.5”Œshed”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEMŒ'hFˆubh)”}”(hŒpyrr”h#Œ0.10.3”h%Œpy_0”h'K hhh(h)hŒpyrr-0.10.3-py_0.tar.bz2”h+Œ e198f9804957020dbb587ea4370cf568”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pyrr-0.10.3-py_0.tar.bz2”h0Œ@67ac54c852cba02b488c1672d7824e6dab3bd9ce1f2969d032c6249e7433bea6”h2NhNh3Œmultipledispatch”Œnumpy”Œpython”‡”h9h?h@ŒBSD”hBŒBSD”hDGA×P±Î]`BhEMŠhFˆubh)”}”(hŒr-bezier”h#Œ1.1.2”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ'r-bezier-1.1.2-r40h6115d3f_1002.tar.bz2”h+Œ 376dbd05581746649e3b6cafb656bf01”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-bezier-1.1.2-r40h6115d3f_1002.tar.bz2”h0Œ@de90acaf3f7f77fa260777c5e1ecada335001bf14a867276bcadee5eb0491cbe”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×­f_±‡hEJ÷o hFˆubh)”}”(hŒjupyterlab-classic”h#Œ0.1.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.jupyterlab-classic-0.1.11-pyhd8ed1ab_0.tar.bz2”h+Œ 77f2007a911432c6176f5a5b06e71e06”h.Œ\https://conda.anaconda.org/conda-forge/noarch/jupyterlab-classic-0.1.11-pyhd8ed1ab_0.tar.bz2”h0Œ@df02e9591e7376030c9a8b1362fc6ea76058bded666510adbee6cd490721aa30”h2NhNh3(Œjupyter_server >=1.4,<2”Œjupyterlab >=3.0.0,<4”Œjupyterlab_server >=2.3,<3”Œnbclassic >=0.2,<1”Œpython >=3.6”Œtornado >=6.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØšh\)hEJá¦T hFˆubh)”}”(hŒ
r-multiway”h#Œ1.0_6”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-multiway-1.0_6-r36h6115d3f_1.tar.bz2”h+Œ 16ed436a1a894e949e6a7f3b6f261904”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiway-1.0_6-r36h6115d3f_1.tar.bz2”h0Œ@8253057588fd278cea7bc6f936801f0d26ecfef2ef819ded8c4ce737ef71dc69”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-cmls”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÎ#@ÔþhEJãS
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h1341992_2”h'Khhh(h)hŒ4copy-jdk-configs-cos7-aarch64-3.3-h1341992_2.tar.bz2”h+Œ 40a48172ab38f1288b6d4caa1c70e31e”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-aarch64-3.3-h1341992_2.tar.bz2”h0Œ@f567b2025583b8e278b498b5670e7b73262e989e3371e3f1868d3f13188ae70d”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD-1-Clause”hBŒBSD”hDGA×Ÿ›‰xÕhEM*$hFˆubh)”}”(hŒlibxcursor-devel-cos6-x86_64”h#Œ1.1.14”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ9libxcursor-devel-cos6-x86_64-1.1.14-h9b0a68f_1105.tar.bz2”h+Œ 5d60d3949aa5e576ad89d54bd0ddac5d”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos6-x86_64-1.1.14-h9b0a68f_1105.tar.bz2”h0Œ@c2c8cf227cdf201a157ae9fb65b4e74518708b56b8919fdf78e7c93ae5ffb861”h2NhNh3Œ&libxcursor-cos6-x86_64 ==1.1.14 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^.ÓohEMT:hFˆubh)”}”(hŒsphinx-subfigure”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+sphinx-subfigure-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 5f50663443662c88ffe81e87fcceb7b1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sphinx-subfigure-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@57a3060d351e241f66eb8e20fe10a58e38e865faf023c67c02b7fea7604a3aae”h2NhNh3Œpython >=3.7”Œsphinx”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÍf3íãThEMw0hFˆubh)”}”(hŒr-miniui”h#Œ0.1.1.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ)r-miniui-0.1.1.1-r41hc72bb7e_1003.tar.bz2”h+Œ 8395a70aabedbb87d3ea2a88385c04f3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-miniui-0.1.1.1-r41hc72bb7e_1003.tar.bz2”h0Œ@318294d170b6109a120119781f3c45f23316b5be6402513b98c1747ffe67e38a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.3”Œr-shiny >=0.13”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐ­¾ffhEM‹ÒhFˆubh)”}”(hŒr-r.filesets”h#Œ2.15.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-r.filesets-2.15.0-r41hc72bb7e_0.tar.bz2”h+Œ 832ba6eb4a87f3cbfadf8755dc0e6118”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-r.filesets-2.15.0-r41hc72bb7e_0.tar.bz2”h0Œ@f90136be6ea4eaade722a1521d0fd6ed2c8392bcda1d3a336e0051bffe1a906b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest >=0.6.15”Œr-future.apply >=0.1.0”Œr-r.cache >=0.13.0”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.21.0”Œr-r.utils >=2.6.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØ¶]ÁöVhEJ^	 hFˆubh)”}”(hŒr-mosaiccalc”h#Œ0.6.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-mosaiccalc-0.6.0-r40hc72bb7e_0.tar.bz2”h+Œ e12ae89ab58506b6527496be424c72ed”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-mosaiccalc-0.6.0-r40hc72bb7e_0.tar.bz2”h0Œ@e7ecd55f7a6c962fa3d29a2de418eec7dd39c04df70bdece03ac599e13a01faa”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-cubature”Œr-deriv”Œr-dplyr”Œr-ggformula”Œ	r-ggplot2”Œr-glue”Œr-mass”Œr-matrix”Œr-metr >=0.11.0”Œr-mosaic”Œr-mosaiccore >=0.9.2”Œr-orthopolynom”Œr-plotly”Œr-rlang”Œr-ryacas”Œr-sp”Œr-tibble”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÈ´Í×²hEJÑ, hFˆubh)”}”(hŒ	r-statnet”h#Œ2019.6”h%Œr35h6115d3f_1”h'Khhh(h)hŒ&r-statnet-2019.6-r35h6115d3f_1.tar.bz2”h+Œ c7c4cd49028cf793f615123f042b8bf5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-statnet-2019.6-r35h6115d3f_1.tar.bz2”h0Œ@5e3144dc20a26a143cdc3d7cf81cb07f30c8c3880da90500f8a65ee7eedaca13”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-ergm >=3.10.4”Œr-ergm.count >=3.3”Œr-network >=1.15”Œr-networkdynamic >=0.10”Œr-sna >=2.4”Œr-statnet.common >=4.2”Œr-tergm >=3.6.1”Œr-tsna >=0.3”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¡W›SøhEMé¨hFˆubh)”}”(hŒr-sqldf”h#Œ0.4_11”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ$r-sqldf-0.4_11-r41hc72bb7e_3.tar.bz2”h+Œ 2e76b4a59495c6a93b5708cf0ada76c3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sqldf-0.4_11-r41hc72bb7e_3.tar.bz2”h0Œ@6c28b2d36c0ba0c8cec9d305cc900f065e7a18dfa1d42803f4152380be9a863b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-chron”Œr-dbi”Œr-gsubfn >=0.6”Œr-proto”Œ	r-rsqlite”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓ
©	ë…hEJ®d hFˆubh)”}”(hŒrdma-core-devel-cos7-x86_64”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6rdma-core-devel-cos7-x86_64-22.4-h9d98e8f_1104.tar.bz2”h+Œ 2c2bc9e4c94b7a12dd9840ab487e7e34”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/rdma-core-devel-cos7-x86_64-22.4-h9d98e8f_1104.tar.bz2”h0Œ@221c159fe7bce1879388b9eeaf9c4009bb60415e990424fc86edecc2c9c58eea”h2NhNh3(Œibacm-cos7-x86_64 ==22.4 *_1104”Œ#libibumad-cos7-x86_64 ==22.4 *_1104”Œ$libibverbs-cos7-x86_64 ==22.4 *_1104”Œ#librdmacm-cos7-x86_64 ==22.4 *_1104”Œ#rdma-core-cos7-x86_64 ==22.4 *_1104”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÉyÛSøhEJ¦³ hFˆubh)”}”(hŒlatlon23”h#Œ1.0.7”h%Œpy_0”h'K hhh(h)hŒlatlon23-1.0.7-py_0.tar.bz2”h+Œ c20c723ebc70c8a2f7f2311ad58e6652”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/latlon23-1.0.7-py_0.tar.bz2”h0Œ@134ad5b9b808e07f20c033001cd2d1e4f17f714551ab3ad90c4fff9997090bb8”h2NhNh3Œpyproj”Œpython”†”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×/„U¡ËhEMhhFˆubh)”}”(hŒscikit-multilearn”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,scikit-multilearn-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 66ac4626e18395e7075863b32101b4b5”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/scikit-multilearn-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ae53cb8ac88d35269f9e4d7ba97b0db865bf7355635539a94774febc6bb37c4d”h2NhNh3(Œfuture”Œ	liac-arff”Œnetworkx”Œnumpy”Œpython >=3.6”Œpython-louvain”Œrequests”Œscikit-learn”Œscipy”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØºµÀºMÓhEM[åhFˆubh)”}”(hŒhtmlmin”h#Œ0.1.12”h%Œpy_0”h'K hhh(h)hŒhtmlmin-0.1.12-py_0.tar.bz2”h+Œ 2836aee7b7784a2de1101c70b4df5e23”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/htmlmin-0.1.12-py_0.tar.bz2”h0Œ@a1b40c40620fce74e4e674c4ce3353dd1a032f8f9ce5589f6627b2a4f273ba59”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hEMÅXhFˆubh)”}”(hŒ
r-alluvial”h#Œ0.1_2”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ)r-alluvial-0.1_2-r41hc72bb7e_1003.tar.bz2”h+Œ a098391c62813ae921fc080fdfd7ecf9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r41hc72bb7e_1003.tar.bz2”h0Œ@fdbb611ae26145a3750233f1a3be38e22c599dafc2652814a6488897ff7c5be7”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsRôØ£×hEJÅ hFˆubh)”}”(hŒr-knitrbootstrap”h#Œ1.0.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ,r-knitrbootstrap-1.0.2-r41hc72bb7e_2.tar.bz2”h+Œ 0ab98d3bfd7f105c1a6a0858eab2cac3”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitrbootstrap-1.0.2-r41hc72bb7e_2.tar.bz2”h0Œ@ccf604185aba4d41a26591fb2db76ce9b12421762daa6fa1f64162104f8cf049”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-knitr >=1.5.25”Œ
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nbstripout”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%nbstripout-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 53913d98739527409e0f3227ed7eef7d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/nbstripout-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@17a89af33c0e4ac72f5ec602bc8fc0c02227b18d6b4316d17471b551a6a44e5a”h2NhNh3Œnbformat”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÌxèbNhEMÍHhFˆubh)”}”(hŒlibtiff-cos7-ppc64le”h#Œ4.0.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libtiff-cos7-ppc64le-4.0.3-h9b0a68f_1105.tar.bz2”h+Œ b7f1280c309a6bc0d41eba87946b6cf3”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-ppc64le-4.0.3-h9b0a68f_1105.tar.bz2”h0Œ@1c44282b757eba98a636551f3fdd2edd00bd10ac12c833177c82860061e07148”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@Œlibtiff”hBŒOther”hDGAØ@‡“…`BhEJÓæ hFˆubh)”}”(hŒ	r-skellam”h#Œ0.2.0”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ(r-skellam-0.2.0-r40hc72bb7e_1003.tar.bz2”h+Œ 908dc1244df2b44902322764300a80b7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-skellam-0.2.0-r40hc72bb7e_1003.tar.bz2”h0Œ@3b702b44fa449ba50de7b63ac47cf8f012e910276adcc0202da92b6fd5e18c86”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+B¥OßhEJ­› hFˆubh)”}”(hŒ
circle-fit”h#Œ0.1.3”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ%circle-fit-0.1.3-pyh9f0ad1d_1.tar.bz2”h+Œ 707249a9f5347a9ad42daf822bb28a97”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/circle-fit-0.1.3-pyh9f0ad1d_1.tar.bz2”h0Œ@2eec20e50da3fa13e96403b4dc368c89fa5a34db2619a1b093ec93b1f0fd9366”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×´g‹t¼hEM\hFˆubh)”}”(hŒlibxt-devel-cos7-ppc64le”h#Œ1.1.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libxt-devel-cos7-ppc64le-1.1.5-h9d98e8f_104.tar.bz2”h+Œ 846d302a6ba4346f830f813a3f2f01aa”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-ppc64le-1.1.5-h9d98e8f_104.tar.bz2”h0Œ@912f66d61e9b480677da615457f4ef11dc32bf2ec3ad874406b04732e47c64cd”h2NhNh3Œ libxt-cos7-ppc64le ==1.1.5 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}–§;dhEJ" hFˆubh)”}”(hŒr-aws.s3”h#Œ0.3.22”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-aws.s3-0.3.22-r41hc72bb7e_1.tar.bz2”h+Œ 5e382b15d79bdfae6c918521a14dfbcb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-aws.s3-0.3.22-r41hc72bb7e_1.tar.bz2”h0Œ@089de80e6353e84acda8838c110eb6c9ed9ffa0358178f38fd4ee3ec2390a3e3”h2NhNh3(Œr-aws.signature >=0.3.7”Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-curl”Œr-digest”Œr-httr”Œr-xml2 >1.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¿u/hEJÝ^ hFˆubh)”}”(hŒ	r-dfoptim”h#Œ	2020.10_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-dfoptim-2020.10_1-r41hc72bb7e_1.tar.bz2”h+Œ a661c29adb1c8c1a75a2126b970749cd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dfoptim-2020.10_1-r41hc72bb7e_1.tar.bz2”h0Œ@1184b1cbfbb5499f827717f3eb059bae57e4974dd12e6b9e8d5f1d6a393249a9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¸UuÒòhEJ£n hFˆubh)”}”(hŒipychart”h#Œ0.4.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ#ipychart-0.4.0-pyh6c4a22f_0.tar.bz2”h+Œ 4f3386e1b247cb7887caf194b7b82596”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ipychart-0.4.0-pyh6c4a22f_0.tar.bz2”h0Œ@7c2addbaea11ce5cfb1233fecf7f76d0fd711fe566f2c6ebc70b869060051392”h2NhNh3(Œipywidgets >=7.4.0,<8.0.0”Œnumpy >=1.18.0,<1.20.0”Œpandas >=1.0.3,<1.2.0”Œpydash >=4.8.0,<5.0.0”Œpython >=3.6”Œscikit-learn >=0.23.2,<0.24.0”Œtraitlets >=4.3.0,<5.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŒ×x$í‘hEJë hFˆubh)”}”(hŒr-plsgenomics”h#Œ1.5_2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-plsgenomics-1.5_2-r41hc72bb7e_2.tar.bz2”h+Œ fe21294c11a9b809da2026e19843f156”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plsgenomics-1.5_2-r41hc72bb7e_2.tar.bz2”h0Œ@fd7c6d45ef170ff65974cea2f4a48fcd21d8f7f46cb18d69031aeee827192c72”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-fields”Œr-mass”Œr-plyr”Œ
r-reshape2”Œr-rhpcblasctl”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ6’XhEJÇØ hFˆubh)”}”(hŒ	r-inaparc”h#Œ1.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-inaparc-1.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 732081ac4f720a934fc1dcadaf6a53e2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-inaparc-1.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@aa1cc62fa4d25efee3418307650b7eeab86465cb96027ff38a12796ac5bac581”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-kpeaks”Œ	r-lhs >=1”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ£’ÐåhEJH[ hFˆubh)”}”(hŒatk-cos7-ppc64le”h#Œ2.28.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,atk-cos7-ppc64le-2.28.1-h9d98e8f_104.tar.bz2”h+Œ fdf0ce721e48e85bc577a20eb91f4cac”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos7-ppc64le-2.28.1-h9d98e8f_104.tar.bz2”h0Œ@ba76477dfe14d713be59e1615217049a5d0ed1391566caa158b497c2c8a7f494”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éye}/hEJ¤3 hFˆubh)”}”(hŒesprima-python”h#Œ4.0.1”h%Œpy_2001”h'MÑhhh(h)hŒ$esprima-python-4.0.1-py_2001.tar.bz2”h+Œ 38d622cba990a04d6102cf555009c269”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/esprima-python-4.0.1-py_2001.tar.bz2”h0Œ@9a95763a762e9d420d7ee61df204bc7fa9bd42311e2cce3bc9e8d3615008bf3b”h2NhNh3Œpython”…”h9h?h@ŒBSD 2-Clause "Simplified"”hBŒBSD”hDGA×BhEMrŸhFˆubh)”}”(hŒcotede”h#Œ0.23.7”h%Œpyh44b312d_0”h'K hhh(h)hŒ"cotede-0.23.7-pyh44b312d_0.tar.bz2”h+Œ 967efe1fdd4416bbe229c1d6bd3c97bd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cotede-0.23.7-pyh44b312d_0.tar.bz2”h0Œ@90629b80c044cfc8e617419ceb7053d7a018a93c68a3e8394ab908300dc8101a”h2NhNh3(Œnumpy >=1.11.1”Œoceansdb >=0.8.11”Œpython”Œscipy >=0.18.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ-mr„“hEM·¼hFˆubh)”}”(hŒ
hop-client”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%hop-client-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2953f61f0cf6ee2ff4e311a60b67a860”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/hop-client-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7b4c39f58a147db6339235a23916e1022289b9a1c635a1e072435e0707457ec6”h2NhNh3(Œadc-streaming >=2.0.0”Œdataclasses”Œfastavro >=1.4.0”Œpluggy >=0.11”Œpython >=3.6”Œtoml >=0.9.4”Œxmltodict >=0.9.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ±ÒÊ “uhEMÕêhFˆubh)”}”(hŒr-checkpoint”h#Œ1.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-checkpoint-1.0.2-r42hc72bb7e_1.tar.bz2”h+Œ ee5616ae417ef5461da04e590770d98d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-checkpoint-1.0.2-r42hc72bb7e_1.tar.bz2”h0Œ@5e2291db588bfc89a985c40bac4885e7a9bf9e6092099abe15652f618cc4b7d6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-pkgdepends”Œr-withr”Œr-yaml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒœì¬hEJä% hFˆubh)”}”(hŒaiohttp-jinja2”h#Œ1.1.2”h%Œpy_0”h'K hhh(h)hŒ!aiohttp-jinja2-1.1.2-py_0.tar.bz2”h+Œ 3255e83198d8beb0f3e14ead543f3a45”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/aiohttp-jinja2-1.1.2-py_0.tar.bz2”h0Œ@23e835219bd24dcf92c1877659a900dca1a42280c1dca16cf58a095ee87a6b10”h2NhNh3Œaiohttp >=3.2.0”Œjinja2 >=2.10.1”Œpython >3.5.3”‡”h9h?h@ŒApache Software”hBŒAPACHE”hDGA×QkØÔþhEM4hFˆubh)”}”(hŒafwizard-library”h#Œ0.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,afwizard-library-0.0.10-pyhd8ed1ab_0.tar.bz2”h+Œ d98f08bcd86b3d1fc468ddc57d96d592”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/afwizard-library-0.0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@bbc0840f3162754602325a67696687ba27c395743a3ec3fe54fb8fa388f11879”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØØ§5?}hEMwhFˆubh)”}”(hŒr-mbess”h#Œ4.9.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-mbess-4.9.2-r40hc72bb7e_0.tar.bz2”h+Œ fd1fd9e54a0b2c7adbd925a14436f1dd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mbess-4.9.2-r40hc72bb7e_0.tar.bz2”h0Œ@d60602b631fa522d6fbdd58665d6b979f0edc3c8ada202d1162a853571ab42d5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-gsl”Œr-lavaan”Œr-mass”Œr-mnormt”Œr-nlme”Œr-openmx”Œr-sem”Œ
r-semtools”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÊ5$17LhEJ62 hFˆubh)”}”(hŒlibsoup-cos7-ppc64le”h#Œ2.62.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ1libsoup-cos7-ppc64le-2.62.2-ha826a6f_1103.tar.bz2”h+Œ 11562c6b87409066b102a549c867152a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-ppc64le-2.62.2-ha826a6f_1103.tar.bz2”h0Œ@70bf8328b336d5545564e11b8a3328c43ce96dae0175e0c1270d4a3fdfdca386”h2NhNh3Œ,glib-networking-cos7-ppc64le >=2.38.0 *_1103”Œ"glib2-cos7-ppc64le >=2.38.0 *_1103”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ|01'hEJÒ] hFˆubh)”}”(hŒr-superpower”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-superpower-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 41643201639b83c45b68afc192cbeff4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-superpower-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@7669599b39b6ee0671422b6594f7068b6842e60d884276d90da61b0c997df240”h2NhNh3(Œr-afex”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-emmeans”Œ	r-ggplot2”Œr-gridextra”Œr-hmisc”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œ
r-reshape2”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓi:“SøhEJÓ¬! hFˆubh)”}”(hŒlbsoftconfdb2clients”h#Œ2.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ/lbsoftconfdb2clients-2.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ be791eb417e436ea85b6b582ee4313cf”h.Œ]https://conda.anaconda.org/conda-forge/noarch/lbsoftconfdb2clients-2.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@2015a3bc1fd8e5342faefb691271917a4d0feb49334b04bc3b065a7d9a3ccf4c”h2NhNh3(Œlbcommon”Œlbenv”Œpython”Œsix”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×áðU/hEM7†hFˆubh)”}”(hŒyaqd-gdrive”h#Œ	2021.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*yaqd-gdrive-2021.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 03179388eb804f124b2f5159e40aaa87”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/yaqd-gdrive-2021.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3a0434992fbd47652cd17004cead4744a0c12e14287965884748334241ae3436”h2NhNh3Œaiohttp”Œpython >=3.7”Œyaqd-core >=2020.06.3”‡”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØWâ¢PhEM¢9hFˆubh)”}”(hŒlibselinux-cos7-aarch64”h#Œ2.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libselinux-cos7-aarch64-2.5-h9d98e8f_104.tar.bz2”h+Œ 40ba294d735b89744bbffd6d1faa1732”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-aarch64-2.5-h9d98e8f_104.tar.bz2”h0Œ@5597bad113645edbe0fab151bc623331133c958c5c31989d74c8dd55a6f09993”h2NhNh3Œ!libsepol-cos7-aarch64 >=2.5 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×É{Æp¤hEJµ„ hFˆubh)”}”(hŒpytest-json”h#Œ0.4.0”h%Œpy_1”h'Khhh(h)hŒpytest-json-0.4.0-py_1.tar.bz2”h+Œ ac56b29bb97972f94368e059a61b6af7”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pytest-json-0.4.0-py_1.tar.bz2”h0Œ@084c73c449fd0b460f60f5e8161fac0313fdf52ff66f2f3e5da94dce9b2bfdb5”h2NhNh3Œpytest >=2.3”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÏ  ÄœhEMhFˆubh)”}”(hŒ	r-polycor”h#Œ0.8_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-polycor-0.8_1-r41hc72bb7e_0.tar.bz2”h+Œ 1052a61ab61922bd2b943e240f94fc64”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-polycor-0.8_1-r41hc72bb7e_0.tar.bz2”h0Œ@af962b7d19d22fb8e953b3bee8bb667aca16ea1215979d8a7a4cdc2ef77152b9”h2NhNh3(Œr-admisc >=0.22”Œr-base >=4.1,<4.2.0a0”Œr-matrix”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØw¤¡|ZhEJ‰V hFˆubh)”}”(hŒnapari-sdeconv”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)napari-sdeconv-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ cf0a868f83925df16b1f351e966ab0f5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/napari-sdeconv-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@60339e7f4ff434ca98c226e195a6963cd4a482ae260400a30e306f939ecd6861”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.9”Œsdeconv >=0.1.0”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ‚MÒ¤›¦hEM¸lhFˆubh)”}”(hŒlibtiff-cos7-aarch64”h#Œ4.0.3”h%Œha826a6f_103”h'Kghhh(h)hŒ/libtiff-cos7-aarch64-4.0.3-ha826a6f_103.tar.bz2”h+Œ e8f8e46512b1fe092eff38fa5c4e7d86”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libtiff-cos7-aarch64-4.0.3-ha826a6f_103.tar.bz2”h0Œ@9956b1cc42f6b7cbaea343debfe3397a470bd35dfabc569d70fad317445e2e45”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œlibtiff”hBŒOther”hDGA×Æ/#ƒhEJZ¿ hFˆubh)”}”(hŒr-tsfeatures”h#Œ1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-tsfeatures-1.1-r41hc72bb7e_1.tar.bz2”h+Œ 787d589b8741aa3e3c5e5e9d41fd9ab0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tsfeatures-1.1-r41hc72bb7e_1.tar.bz2”h0Œ@98c2571c55dff42c3a9a37f7f5d70c787b6f90fb8fcf8a635df9427d30218d9d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-forecast >=8.3”Œ
r-fracdiff”Œr-furrr”Œr-future”Œr-purrr”Œr-rcpproll >=0.2.2”Œr-tibble”Œ	r-tseries”Œr-urca”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ¦£33hEJ8¬ hFˆubh)”}”(hŒhyppo”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ hyppo-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ f4361a8300870a7e6ca68cd29ae0745c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/hyppo-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@4c92bdd5cd22b7cd07a8749c3f3e5cd5be599e045cadb3ae99c9afd11f755776”h2NhNh3(Œautograd >=1.3”Œnumba >=0.46”Œnumpy >=1.17”Œpython >=3.6”Œscikit-learn >=0.19.1”Œscipy >=1.4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸±ÛÌÝ/hEJ  hFˆubh)”}”(hŒr-formula.tools”h#Œ1.7.1”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ.r-formula.tools-1.7.1-r40hc72bb7e_1003.tar.bz2”h+Œ 557a0e71e9d7a9c0963e6f202ef213c5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-formula.tools-1.7.1-r40hc72bb7e_1003.tar.bz2”h0Œ@8ab873af18863762183cb8261a45e02041f58d6496156668bcbe82754b71d7e1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-operator.tools >=1.4.0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ì‡hEJ6« hFˆubh)”}”(hŒjupyter-ui-poll”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*jupyter-ui-poll-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 261a202711ba96680f7874ad4c6e5f51”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/jupyter-ui-poll-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@92c58806dcfa2f067d4fa489506b4918a3f5f0836148b549b5df5bcbd60d7a22”h2NhNh3Œipython”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÖ|‰7hEM¦3hFˆubh)”}”(hŒ	r-treesim”h#Œ2.4”h%Œr36h6115d3f_1”h'Khhh(h)hŒ#r-treesim-2.4-r36h6115d3f_1.tar.bz2”h+Œ 3dba9c69ba91ea18a810edd8cdb5d6a0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-treesim-2.4-r36h6115d3f_1.tar.bz2”h0Œ@d5176f71d55052b6c22275ddd22809c28809dd1f707bd616c8d499630b1c8ecd”h2NhNh3Œr-ape”Œr-base >=3.6,<3.7.0a0”Œr-geiger”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬=ÙÍ`BhEJ’å hFˆubh)”}”(hŒr-evmix”h#Œ2.12”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-evmix-2.12-r36h6115d3f_0.tar.bz2”h+Œ 62975bc3ad09e7dbc16c3182ec5c794a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-evmix-2.12-r36h6115d3f_0.tar.bz2”h0Œ@0a5025f9ce5aaa7e3f2ac353c5ad5f870c5970ceb054fcd1e3eb0973864f7860”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-gsl”Œr-mass”Œ	r-sparsem”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×[ DÿÎÙhEJd~K hFˆubh)”}”(hŒwerkzeug”h#Œ2.1.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#werkzeug-2.1.2-pyhd8ed1ab_1.tar.bz2”h+Œ 6dfc61103f2c33a6c875b93d82875c10”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/werkzeug-2.1.2-pyhd8ed1ab_1.tar.bz2”h0Œ@3e08e7a72a01fa53e4d2e2dedde32b3300dc9d12c91d7b5248d458ecfa0bd439”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœŸìïPhEJ!³ hFˆubh)”}”(hŒpygithub”h#Œ1.57”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ"pygithub-1.57-pyh1a96a4e_0.tar.bz2”h+Œ 6d507fb672daa628110d1ecbe3e0f441”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pygithub-1.57-pyh1a96a4e_0.tar.bz2”h0Œ@33c4a6d461e99ba6878b03e8b3575fd7c35970ae31314250fc446962cad11505”h2NhNh3(Œ
deprecated”Œpyjwt >=2.0”Œpynacl >=1.4.0”Œ
python >=3”Œrequests >=2.14.0”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÙ‚Ië×
hEJ÷ï hFˆubh)”}”(hŒnapari-ip-workflow”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-napari-ip-workflow-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ db4cb1a0c4ae7a51415f0b0d4c1e1eea”h.Œ[https://conda.anaconda.org/conda-forge/noarch/napari-ip-workflow-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@a04fe6ce6079964873fedfd10ed9a3300e95e9b12a5b5924379077fc4c624e00”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpandas”Œpython >=3.8”Œqtpy”Œscikit-image”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ±OG
=hEMghFˆubh)”}”(hŒgoodtables-pandas-py”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/goodtables-pandas-py-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ a083c876501330cf5fa4d4eaed22c1da”h.Œ]https://conda.anaconda.org/conda-forge/noarch/goodtables-pandas-py-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f031fd3b1011d8f904c6fb945dc85a15a283b1d18af6c8ea950d7815a7bc2154”h2NhNh3(Œfrictionless >=3.34.0,<4.0.0”Œpandas >=1.1.3,<2.0.0”Œpython >=3.6,<4.0”Œ typing-extensions >=3.7.4,<4.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÐ|FvÉhEMGhFˆubh)”}”(hŒ
r-paintmap”h#Œ1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-paintmap-1.0-r35h6115d3f_0.tar.bz2”h+Œ ea8c5dfc9a59dd5e84b6dc05822662ca”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r35h6115d3f_0.tar.bz2”h0Œ@c61efe7a4d23be76a525c07367e44a14b2551024ce2edfdaf7a7155a88d8dacb”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Qú¥ƒ"ÑhEMS‰hFˆubh)”}”(hŒr-smoothmest”h#Œ0.1_3”h%Œr41ha770c72_1”h'Khhh(h)hŒ(r-smoothmest-0.1_3-r41ha770c72_1.tar.bz2”h+Œ e7fc77f1a7275ad1223529d52ebd55cf”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-smoothmest-0.1_3-r41ha770c72_1.tar.bz2”h0Œ@b99408a9f23c21d1508a922b8c026ad52e2aedc86a1cf1e5680c20033c093cb9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL”hBŒGPL”hDGAØÒ.VhEJ½. hFˆubh)”}”(hŒlibdrm-cos6-x86_64”h#Œ2.4.65”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libdrm-cos6-x86_64-2.4.65-h9d98e8f_1104.tar.bz2”h+Œ bfd481bf512897c1a7b27c01020074b5”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos6-x86_64-2.4.65-h9d98e8f_1104.tar.bz2”h0Œ@7a9e52041462ea169afb92060a12dc3787e3e3504e3ea43f7c2236db83478ca6”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy†E¢hEJä hFˆubh)”}”(hŒboxlang”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"boxlang-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 73d29d5092f6ec62ad28aa442cde4c26”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/boxlang-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0a55dc1d65bda9b13c0fefb5cf6d32d824c36a1c02c9c65e6fcebb53e4245cbf”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ;"–÷|îhEM)IhFˆubh)”}”(hŒcups-libs-cos6-x86_64”h#Œ1.4.2”h%Œha826a6f_103”h'Kghhh(h)hŒ0cups-libs-cos6-x86_64-1.4.2-ha826a6f_103.tar.bz2”h+Œ 9bd6062bffd3df9e0ac202f4d202c08a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos6-x86_64-1.4.2-ha826a6f_103.tar.bz2”h0Œ@6875bef1f3c5d4d5a34d60f4d18f04c957f305590ed9d3b1a2ba8fd1bd2c5c4d”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{’\hEJqš hFˆubh)”}”(hŒlibuuid-cos7-aarch64”h#Œ2.23.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libuuid-cos7-aarch64-2.23.2-h9d98e8f_1104.tar.bz2”h+Œ 87fee002fe66507db4e2ab434d04fd74”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-aarch64-2.23.2-h9d98e8f_1104.tar.bz2”h0Œ@0bafe082598426e20f3c5625adb96f421296d50e40fb70b4fa13eccc4fd2b840”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×É{jŸïžhEMq:hFˆubh)”}”(hŒ
r-cpgassoc”h#Œ2.60”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-cpgassoc-2.60-r36h6115d3f_0.tar.bz2”h+Œ dfdf361d90c7db013367c07480972e03”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cpgassoc-2.60-r36h6115d3f_0.tar.bz2”h0Œ@009a2333347aff3efb227ccf30cc7983ad2f4fc3bf30598c5657ca607334c6db”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-nlme”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯Kìí‘hEJü( hFˆubh)”}”(hŒpint”h#Œ0.19.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pint-0.19.2-pyhd8ed1ab_0.tar.bz2”h+Œ fd63e100db24efe8ae0800f81f4cd8e9”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pint-0.19.2-pyhd8ed1ab_0.tar.bz2”h0Œ@a9455806c8ff27ef47e6f00f503c1a6ca66589d2c585f9b74fe7449f96a09a06”h2NhNh3Œpython >=3.8”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ™½7¢n˜hEJoï hFˆubh)”}”(hŒlibxkbcommon-devel-cos7-ppc64le”h#Œ0.7.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;libxkbcommon-devel-cos7-ppc64le-0.7.1-h9b0a68f_1105.tar.bz2”h+Œ 2d4815d00cae689952e2dd9530a75292”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-devel-cos7-ppc64le-0.7.1-h9b0a68f_1105.tar.bz2”h0Œ@6f26fda9d8eee4132258d5744cdc828c7e840a272eb92cb5635e831fec9ee79f”h2NhNh3Œ(libxkbcommon-cos7-ppc64le ==0.7.1 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‹é»SøhEM8ÞhFˆubh)”}”(hŒ	pandas-ta”h#Œ0.3.14b”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pandas-ta-0.3.14b-pyhd8ed1ab_0.tar.bz2”h+Œ 440be5829819fcd371bb0ec0957b540c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pandas-ta-0.3.14b-pyhd8ed1ab_0.tar.bz2”h0Œ@02401c34812cdd9caaa24f37956930caee33ec2d51e7bd92f73d08a499502755”h2NhNh3Œpandas”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØWòk…hEJ¬ hFˆubh)”}”(hŒr-irace”h#Œ3.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ!r-irace-3.3-r35h6115d3f_0.tar.bz2”h+Œ 746c77b896aefecfcb8b8659b593ac20”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-irace-3.3-r35h6115d3f_0.tar.bz2”•      h0Œ@ef47debae86939791e6f7defcc955607d62ae98bc58e894da203334f052da076”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×MÉ°7;dhEJ^° hFˆubh)”}”(hŒr-knitcitations”h#Œ1.0.12”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-knitcitations-1.0.12-r41hc72bb7e_0.tar.bz2”h+Œ 067d1b5dc0a1d8f2ff1b21e71dce5f43”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitcitations-1.0.12-r41hc72bb7e_0.tar.bz2”h0Œ@0548cbbe936d039becac2e016a26776fd6603a95c2de6a7a3f2e2afbef18df37”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-httr >=0.3”Œr-refmanager >=0.8.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+L§‡\)hEJg  hFˆubh)”}”(hŒ	r-capushe”h#Œ1.1.1”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ(r-capushe-1.1.1-r40h6115d3f_1003.tar.bz2”h+Œ 39225731e9c17b3c791fc899393f2cee”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-capushe-1.1.1-r40h6115d3f_1003.tar.bz2”h0Œ@156697792018322ae601d9f9e39c5463b0098ee2fa08c448ba6f45a352aec8c4”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL (>= 2.0)”hBŒGPL3”hDGA×¬Ü7|îhEJl¬ hFˆubh)”}”(hŒlibpng-devel-cos7-aarch64”h#Œ1.5.13”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libpng-devel-cos7-aarch64-1.5.13-h9d98e8f_104.tar.bz2”h+Œ 2806745d639a524f896f25d8c366f90b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-aarch64-1.5.13-h9d98e8f_104.tar.bz2”h0Œ@73085029d1002102fd80e423e476d42fbf462af27d6f48897e798fe9e913c46f”h2NhNh3Œ"libpng-cos7-aarch64 ==1.5.13 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGA×É{©ûohEJ¼À hFˆubh)”}”(hŒr-clustergeneration”h#Œ1.3.7”h%Œr40ha770c72_0”h'K hhh(h)hŒ/r-clustergeneration-1.3.7-r40ha770c72_0.tar.bz2”h+Œ f0ff2ed6edf260d22e4922dba0080cbb”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-clustergeneration-1.3.7-r40ha770c72_0.tar.bz2”h0Œ@f7f647779e922351982b0d8743a6112367590c6ad55b44ec331d221b3aee41bb”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×öO¸hEJ{b hFˆubh)”}”(hŒlibxi-cos6-x86_64”h#Œ1.7.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,libxi-cos6-x86_64-1.7.8-h9d98e8f_104.tar.bz2”h+Œ 9f0a1e2648733b730e9f40ea7b275e01”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libxi-cos6-x86_64-1.7.8-h9d98e8f_104.tar.bz2”h0Œ@97acec70f070acb18dca8d2261febebe8c4c45f0a4f3d1029f982c3f871a2f28”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ŸvÈ´hEM1ƒhFˆubh)”}”(hŒmesa-libgl-cos7-ppc64le”h#Œ18.3.4”h%Œh1795305_101”h'Kehhh(h)hŒ3mesa-libgl-cos7-ppc64le-18.3.4-h1795305_101.tar.bz2”h+Œ 8fb872d1eb5d2d99ecfd12594fcc80bd”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-ppc64le-18.3.4-h1795305_101.tar.bz2”h0Œ@3b82e8ca16faef76e331caffd8ed5b7a9f051aca019b40b05b0adb9f32df32a6”h2NhNh3Œlibdrm-cos7-ppc64le >=2.4.83”Œ!mesa-libglapi-cos7-ppc64le 18.3.4”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å`YxÕhEJ¶ð hFˆubh)”}”(hŒcattrs”h#Œ22.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cattrs-22.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5dacf4d924ae284579288e378b1f5943”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cattrs-22.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@64d54105a42f38620f593afbd65314745c42baeb6dfeb2c0e535128166b73ed7”h2NhNh3(Œ
attrs >=20”Œexceptiongroup”Œpython >=3.7”Œtyping_extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÎÍ°‘Û#hEMayhFˆubh)”}”(hŒsysroot-cos7-x86_64”h#Œ2.17”h%Œh600d9a5_13”h'Khhh(h)hŒ,sysroot-cos7-x86_64-2.17-h600d9a5_13.tar.bz2”h+Œ f5c78bdf76fe21ab114752f5cb47b833”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h600d9a5_13.tar.bz2”h0Œ@956ec3ce30e0ed434da73bb91bc2a7feadca1b281ee310ad4423c4b9a876d022”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ_ãü“hEMu9hFˆubh)”}”(hŒrapidfuzz_capi”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)rapidfuzz_capi-1.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 0d7717fa392df76ca34dd564b1a4b1ed”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/rapidfuzz_capi-1.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@fb9d9b9cabf4b3156829d9ebf122b0b2fcf9bed7c2091b636bdc81762b91c4c6”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØŠçs"ÑhEM$hFˆubh)”}”(hŒpypinyin”h#Œ0.44.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pypinyin-0.44.0-pyhd8ed1ab_0.tar.bz2”h+Œ 737dc500c8718d89fd5df317d8bde105”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pypinyin-0.44.0-pyhd8ed1ab_0.tar.bz2”h0Œ@bc13a1a802d6947111556bc5079c86d2995ba1e2a9197696eb93b631a279baed”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØd¥ŽhEJ× hFˆubh)”}”(hŒr-rgooglemaps”h#Œ1.4.5.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-rgooglemaps-1.4.5.3-r36h6115d3f_1.tar.bz2”h+Œ 8db675b88439864f2913dff81aaca747”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rgooglemaps-1.4.5.3-r36h6115d3f_1.tar.bz2”h0Œ@06ed62c1424b38176d3adfa0c0998657d4cb70d8a01d500a8aad680fe70d0b8f”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-png”Œr-sp”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬ûa2MÓhEJ× hFˆubh)”}”(hŒr-cliapp”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-cliapp-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ d8e6f2f11357a2e755ed2d59c90d2800”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cliapp-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@2194d386d52becb52ee5735aec0d8c64c85bd37382fe62be149b52696dfa0bee”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-crayon”Œr-fansi”Œr-glue >=1.3.0”Œr-prettycode”Œr-progress >=1.2.0”Œr-r6”Œ	r-selectr”Œr-withr”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ:{33hEJÒ hFˆubh)”}”(hŒr-globaloptions”h#Œ0.1.2”h%Œr42ha770c72_1”h'Khhh(h)hŒ+r-globaloptions-0.1.2-r42ha770c72_1.tar.bz2”h+Œ cf801340da68e23471ed374beb214cea”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-globaloptions-0.1.2-r42ha770c72_1.tar.bz2”h0Œ@64b362ee34f08664e7a0b00b8869acd2b4f05e11f90c2ce37db4b1feb0257e30”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒGPL3”hDGAØÐ·ÊñÊÁhEJGO hFˆubh)”}”(hŒr-leafpm”h#Œ0.1.0”h%Œr41hc72bb7e_4”h'Khhh(h)hŒ$r-leafpm-0.1.0-r41hc72bb7e_4.tar.bz2”h+Œ 3ed19f5f7ecfcc7b099bee1d76944cd9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafpm-0.1.0-r41hc72bb7e_4.tar.bz2”h0Œ@dba6a7d2f695ccb267cfca7facfd892474533f7b9a18551ff4e8d939db9d853e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-htmltools >=0.3”Œr-htmlwidgets”Œ
r-jsonlite”Œr-leaflet >=2.0.1”Œr-sf >=0.5_2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ›€ð£×hEJQ hFˆubh)”}”(hŒr-networkd3”h#Œ0.4”h%Œr35h6115d3f_1003”h'Mëhhh(h)hŒ(r-networkd3-0.4-r35h6115d3f_1003.tar.bz2”h+Œ a52329db1157d68224a2f9774aa4c056”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-networkd3-0.4-r35h6115d3f_1003.tar.bz2”h0Œ@3b86fbd71ee14b7893d9d2e0a59e8637ef0f46cf23723dda7582682f4b1546d4”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-htmlwidgets >=0.3.2”Œr-igraph”Œ
r-magrittr”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LÍ˜äÌÍhEJ&" hFˆubh)”}”(hŒr-airr”h#Œ1.4.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-airr-1.4.1-r40hc72bb7e_0.tar.bz2”h+Œ a724c21a8cd817cae4c715b07d3093ef”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-airr-1.4.1-r40hc72bb7e_0.tar.bz2”h0Œ@b6d83b7cfb52c7c0a6c820a21794d70e6ede27ff1b13054f6b15a6c5de880af4”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-jsonlite”Œr-readr”Œ	r-stringi”Œr-yaml”t”h9hºh@Œ	CC-BY-4.0”hBŒCC”hDGAØÂøµ<“hEJ*	 hFˆubh)”}”(hŒlibxxf86vm-cos7-aarch64”h#Œ1.1.4”h%Œ
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envs >=1.3”Œpython >=3.6”Œpython-jose >=3.2.0”Œrequests >=2.22.0”t”h9h?h@Œ
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r-sombrero”h#Œ1.4_1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-sombrero-1.4_1-r40hc72bb7e_0.tar.bz2”h+Œ 5bf61f0de81ab7c3c330bb4a22b58ed8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sombrero-1.4_1-r40hc72bb7e_0.tar.bz2”h0Œ@259810957977a4820ff44aaf8576d22898f3aa8c8288506f6bd2749b0c7a24c4”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-ggwordcloud”Œr-igraph >=1.0”Œr-interp”Œ
r-markdown”Œr-metr”Œr-scatterplot3d”Œr-shiny”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØu «…hEJ‰!! hFˆubh)”}”(hŒ	rb-sawyer”h#Œ0.8.2”h%Œ
hd4c1694_0”h'K hhh(h)hŒ"rb-sawyer-0.8.2-hd4c1694_0.tar.bz2”h+Œ c3484b45406417edaa484b0ac927b84b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-sawyer-0.8.2-hd4c1694_0.tar.bz2”h0Œ@fc40544ff04fb281cbdc89d8e6529de8dc1a3b081540c404807550f898bf5956”h2NhNh3Œrb-addressable >=2.3.5”Œrb-faraday >0.8,<2.0”Œruby >=2.5.5,<2.6.0a0”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Zä*JhEM1^hFˆubh)”}”(hŒr-here”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-here-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 4bed8a68281f0ede1fb8b3a04df26cd9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-here-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@40e9b1a49664b5911c20d38a0af39c72dc7b95dd9d95e6b1da0139cd8c74fee0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rprojroot >=2.0.2”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ì–{hEMZÛhFˆubh)”}”(hŒsat-stac”h#Œ0.4.1”h%Œpyh44b312d_0”h'K hhh(h)hŒ#sat-stac-0.4.1-pyh44b312d_0.tar.bz2”h+Œ db4efed11f9ee2b921d2893fc66806f2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/sat-stac-0.4.1-pyh44b312d_0.tar.bz2”h0Œ@aec1919d644f959ef3394da707bcfc78c07800d0bd361e991d92c952f97d5f16”h2NhNh3Œpython”Œpython-dateutil >=2.7.5,<2.8”Œrequests >=2.19.1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØœo!7LhEME@hFˆubh)”}”(hŒr-noisefiltersr”h#Œ0.1.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ+r-noisefiltersr-0.1.0-r41hc72bb7e_2.tar.bz2”h+Œ 349bfe74d08e01cb494a64ebf908dee8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-noisefiltersr-0.1.0-r41hc72bb7e_2.tar.bz2”h0Œ@bdb0ec3723822b30cc81c53444d005407fc01d3cae3d92a0b8942aeec3d702c5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-caret”Œr-e1071”Œr-kknn”Œr-mass”Œr-nnet”Œr-randomforest”Œr-rjava”Œr-rpart”Œr-rweka”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ+æ²°!hEJoè hFˆubh)”}”(hŒchannels”h#Œ2.4.0”h%Œpy_0”h'K hhh(h)hŒchannels-2.4.0-py_0.tar.bz2”h+Œ c95aaa249b309fbceb808bd021126187”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/channels-2.4.0-py_0.tar.bz2”h0Œ@95817870bf04eda589087ae97e76a826ab70f124e802786ca9e7afb71eac4ba5”h2NhNh3(Œasgiref >=3.2,<4”Œdaphne >=2.3,<3”Œdjango >=2.2”Œpython >=3.5”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×§X,¶¸RhEM£whFˆubh)”}”(hŒmypyc-ipython”h#Œ0.0.2”h%Œpyh41d4057_0”h'K hhh(h)hŒ(mypyc-ipython-0.0.2-pyh41d4057_0.tar.bz2”h+Œ ac81ca63e61c6a3f1e6fc14118089121”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/mypyc-ipython-0.0.2-pyh41d4057_0.tar.bz2”h0Œ@2e10248ccd3a22112cdc5d80481ae291f2ac5b0321f823d17c9c63d783af67fb”h2NhNh3(Œgcc_linux-64”Œipython”Œmypy >=0.800”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÚö,,jhEMÊ)hFˆubh)”}”(hŒ	cdat_info”h#Œ8.2.1”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ$cdat_info-8.2.1-pyh9f0ad1d_1.tar.bz2”h+Œ c42602a30bd4168868ce2c0f267789f0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/cdat_info-8.2.1-pyh9f0ad1d_1.tar.bz2”h0Œ@c002bb08daa3adaa4be9d36a15fa3c46bdf087c6448c877d4a598c706edce7a9”h2NhNh3(Œnbformat”Œopenssl >1.1”Œpython”Œrequests”t”h9h?h@ŒBSD”hDGA×Ë+ÂhEMÌ?hFˆubh)”}”(hŒjupyter_packaging”h#Œ0.12.3”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ-jupyter_packaging-0.12.3-pyh1a96a4e_0.tar.bz2”h+Œ dbaf395672ff5461a569218b4e0e6bc4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/jupyter_packaging-0.12.3-pyh1a96a4e_0.tar.bz2”h0Œ@14663a2b8e1776f24c016685ed4d315fc8113f259e590b4e8bd16b6c01090a6c”h2NhNh3Œ%jupyter-packaging 0.12.3 pyha770c72_0”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÂµbhEMÉhFˆubh)”}”(hŒ
hydrostats”h#Œ0.78”h%Œpy_0”h'K hhh(h)hŒhydrostats-0.78-py_0.tar.bz2”h+Œ 94d5cbfc732cd6bc1da9d2d86549082c”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/hydrostats-0.78-py_0.tar.bz2”h0Œ@cb26164a4ca1408d032f6a6e5d97e40cca6f713890027161d14ef4874d1d0af2”h2NhNh3(Œhydroerr”Œ
matplotlib”Œnumba”Œnumpy”Œpandas”Œpython”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×0C0HÄœhEMhFˆubh)”}”(hŒjupyterlab-day”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)jupyterlab-day-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4659f2fe63028e47cf87d4e4d5a71cfe”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-day-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0dff2c2ba033c3295779434b78a612db13fec389376ab38949109604e3093d06”h2NhNh3Œ
jupyterlab”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÖçÛ‡PhEJÁ hFˆubh)”}”(hŒlibxcursor-cos7-x86_64”h#Œ1.1.15”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxcursor-cos7-x86_64-1.1.15-ha826a6f_1103.tar.bz2”h+Œ d4bb867c42f777e056d6607cab0b2f2f”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-x86_64-1.1.15-ha826a6f_1103.tar.bz2”h0Œ@342c3ff98f23c7cd20a7e35078e998ff11edbc9f76c40b54ce2eeb61ccf22025”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ27m²-hEM4jhFˆubh)”}”(hŒlibbonobo-cos7-aarch64”h#Œ2.32.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libbonobo-cos7-aarch64-2.32.1-hdf0574f_1102.tar.bz2”h+Œ 272c911b18b1ce0f08eae08a3ba6a0ff”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-aarch64-2.32.1-hdf0574f_1102.tar.bz2”h0Œ@2d031d628a1857fb642e8cffd2815d595dc1aec505829d7ecba4ff6b7a87155e”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×ÅiL£×
hEJ„\ hFˆubh)”}”(hŒ	pyopenssl”h#Œ22.0.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%pyopenssl-22.0.0-pyhd8ed1ab_1.tar.bz2”h+Œ 2e7e3630919d29c8216bfa2cd643d79e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.0.0-pyhd8ed1ab_1.tar.bz2”h0Œ@72af60a6164a380730c00ee996bda265267b53a99662d7ceb2ec6ed47dd74a0b”h2NhNh3Œcryptography >=35.0,<39”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØËµMOßhEJá hFˆubh)”}”(hŒhagerstrand”h#Œ0.0.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'hagerstrand-0.0.11-pyhd8ed1ab_0.tar.bz2”h+Œ 4ff7f5f615427c85008691439ad74dcc”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/hagerstrand-0.0.11-pyhd8ed1ab_0.tar.bz2”h0Œ@ea163c160f6e6b560840a7f55ec794f337737fb45936f15893cdc57a52432d54”h2NhNh3(Œearthengine-api”Œfolium”Œgeemap”Œ	geopandas”Œipyfilechooser”Œ
ipyleaflet”Œipython”Œ
ipywidgets”Œnumpy”Œpandas”Œpyshp”Œpython >=3.6”Œ
python-box”Œscikit-learn”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ"¼;dhEM8ThFˆubh)”}”(hŒr-bookdownplus”h#Œ1.5.8”h%Œr36h6115d3f_1”h'Khhh(h)hŒ*r-bookdownplus-1.5.8-r36h6115d3f_1.tar.bz2”h+Œ 85b193aa67623d0dd2944aaad63e9bce”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bookdownplus-1.5.8-r36h6115d3f_1.tar.bz2”h0Œ@2ed6842ab07d089fdf76b47de0bc8a3e294068ff135e7d892f52082633d646c8”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-bookdown >=0.3.17”Œr-knitr”Œr-magick”Œ
r-xaringan”t”h9hºh@ŒMIT”hBŒMIT”hDGA×»¨	Û#hEJV£ hFˆubh)”}”(hŒr-fit.models”h#Œ0.64”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-fit.models-0.64-r41hc72bb7e_0.tar.bz2”h+Œ 92aae79f5e9bed5ad24ca10ff5181fd6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fit.models-0.64-r41hc72bb7e_0.tar.bz2”h0Œ@10a7a25f9709dee5b7b515a60fd0e5412d87616037b46ab09c99d5c8e26ad00a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+õýOßhEJsC hFˆubh)”}”(hŒpymedphys_logfiles”h#Œ0.11.0”h%Œpy_1”h'Khhh(h)hŒ&pymedphys_logfiles-0.11.0-py_1.tar.bz2”h+Œ fcc8fa902dc54ec233408319239681aa”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pymedphys_logfiles-0.11.0-py_1.tar.bz2”h0Œ@a7d60ac5e7a3b77b163b8e990287e143d09c4f0a1e4f38f558a8b63df4f9eb09”h2NhNh3(Œattrs”Œmatplotlib-base”Œnumpy >=1.12”Œpandas”Œpymedphys_databases 0.11.0 py_1”Œ!pymedphys_fileformats 0.11.0 py_1”Œpymedphys_mudensity 0.11.0 py_1”Œpymedphys_utilities 0.11.0 py_1”Œpython >=3.7”Œpython-dateutil”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×¯ýP["ÑhEM‚hFˆubh)”}”(hŒr-segregation”h#Œ0.6.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-segregation-0.6.0-r41hc72bb7e_1.tar.bz2”h+Œ 6d90db2947ae9be9982adbe45a93fc61”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-segregation-0.6.0-r41hc72bb7e_1.tar.bz2”h0Œ@db7b6f676bc25eff861f6b322beda6ec03c4b3a0443a6fba295c885ed05bb863”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ­îùÛhEJßâ hFˆubh)”}”(hŒr-ggedit”h#Œ0.3.1”h%Œr40h6115d3f_0”h'K hhh(h)hŒ$r-ggedit-0.3.1-r40h6115d3f_0.tar.bz2”h+Œ 97bf92ea2606486839523746e5bc6163”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggedit-0.3.1-r40h6115d3f_0.tar.bz2”h0Œ@e8a230ea61e8a00e947e6bf4401f418c5a6f617843bddb5b96741f57ccda54e9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-colourpicker >=0.2”Œr-dplyr >=0.7.5”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-miniui”Œr-plyr”Œr-purrr”Œr-rlang”Œr-rstudioapi”Œr-scales”Œr-shiny”Œ
r-shinyace”Œ	r-shinybs”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×µi¸“uhEJµÇ hFˆubh)”}”(hŒnss-softokn-freebl-cos7-ppc64le”h#Œ3.44.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ<nss-softokn-freebl-cos7-ppc64le-3.44.0-hdf0574f_1102.tar.bz2”h+Œ 9abc32a9a52e64ffe2bcde09d2e24a43”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-ppc64le-3.44.0-hdf0574f_1102.tar.bz2”h0Œ@bfe6df40f8a7f5596a5aa782dfe9ef2eb97f1fbab587db292b6dc58c80f007dc”h2NhNh3Œ!nspr-cos7-ppc64le >=4.21.0 *_1102”Œ%nss-util-cos7-ppc64le >=3.44.0 *_1102”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å,{hEJp hFˆubh)”}”(hŒhtmd-pdb2pqr”h#Œ0.0.2”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ'htmd-pdb2pqr-0.0.2-pyh9f0ad1d_1.tar.bz2”h+Œ ec6baab2fbde7ae21c5a43b9e9ab2762”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/htmd-pdb2pqr-0.0.2-pyh9f0ad1d_1.tar.bz2”h0Œ@d50818f72a23be8703822cc87e75a9b0a0df5d9eb89d33e9929cb37f438faa3c”h2NhNh3(Œfuture”Œnetworkx”Œpropka 3.1.0.*”Œpython”Œ
setuptools”Œsix”t”h9h?h@ŒBSD”hBŒBSD”hDGA×Â bNhEJ û hFˆubh)”}”(hŒr-caper”h#Œ1.0.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-caper-1.0.1-r41hc72bb7e_1003.tar.bz2”h+Œ 0991ef5f651e390f8348db21314d91cb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-caper-1.0.1-r41hc72bb7e_1003.tar.bz2”h0Œ@17bd8252ea4ed66f6be8c40fb70bef47606326b538ac58c517b5ca8a5b110e10”h2NhNh3(Œr-ape >=3.0_6”Œr-base >=4.1,<4.2.0a0”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ¢&k¶FhEJå2 hFˆubh)”}”(hŒ
r-genetics”h#Œ	1.3.8.1.3”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ*r-genetics-1.3.8.1.3-r36hc72bb7e_0.tar.bz2”h+Œ d895f224274ccfdab88c8d48cfa2f37f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-genetics-1.3.8.1.3-r36hc72bb7e_0.tar.bz2”h0Œ@3387566e7a79c36b2756fe884a201eeb232ce7dcce079e172f5531b53576d11f”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×K¬`µ¸hEJæ
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ipywidgets”Œnumpy”Œpandas”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØãd “uhEJh+ hFˆubh)”}”(hŒdjango-mptt”h#Œ0.13.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'django-mptt-0.13.4-pyhd8ed1ab_0.tar.bz2”h+Œ a32cfca66978d7420612d761bc4bb00d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/django-mptt-0.13.4-pyhd8ed1ab_0.tar.bz2”h0Œ@88cdb9554d7153d0e323531ff2f64f5c86d896152849540945827aa42c447b9a”h2NhNh3Œdjango >=1.11”Œdjango-js-asset”Œpython >=3.5”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØTzóöhEJ„ hFˆubh)”}”(hŒ
py-mathjax”h#Œ3.0.0.2”h%Œpy_0”h'K hhh(h)hŒpy-mathjax-3.0.0.2-py_0.tar.bz2”h+Œ 4a7ed3b9efbc7e3e8c81a734acacf624”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/py-mathjax-3.0.0.2-py_0.tar.bz2”h0Œ@1845aa5b89b4b85bd1027db4af0d86a11e8a002d8f6bf9a354a491700f898c19”h2NhNh3Œmathjax 3.0.0.*”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×âX?»÷ÏhEMS,hFˆubh)”}”(hŒgeoglows”h#Œ0.27.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$geoglows-0.27.0-pyhd8ed1ab_0.tar.bz2”h+Œ 38a39577bc4c6219648b9f921b6a35b3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/geoglows-0.27.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d5882e6a552e540643b411af4b129f3c8341455560841755d6eaaaee8d1b6c41”h2NhNh3(Œhydroerr”Œ
hydrostats”Œjinja2”Œnumpy”Œpandas”Œplotly >=4.6”Œpython >=3.6”Œrequests”Œscipy”Œshapely”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¦ñÒÐåhEJ¼¥ù hFˆubh)”}”(hŒr-rdrop2”h#Œ0.8.2.1”h%Œr40h6115d3f_0”h'K hhh(h)hŒ&r-rdrop2-0.8.2.1-r40h6115d3f_0.tar.bz2”h+Œ 0bf2091c4d79c760cc5b09a87f91edef”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rdrop2-0.8.2.1-r40h6115d3f_0.tar.bz2”h0Œ@a99c14c8900b906769b257e90c6f652b34fef1133d058d7119d252c2d4ad673c”h2NhNh3(Œr-assertive”Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ê®lFffhEJ‡ hFˆubh)”}”(hŒ
r-mapplots”h#Œ1.5.1”h%Œr351h6115d3f_0”h'K hhh(h)hŒ'r-mapplots-1.5.1-r351h6115d3f_0.tar.bz2”h+Œ d4eb92ca88cbc9656d0a7708167ca05b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mapplots-1.5.1-r351h6115d3f_0.tar.bz2”h0Œ@a6304991efd2af36e9b3a9be0eaa324b811a3afd68e9f9ec6b81a0b4d60203f6”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Ô +hEJ	º hFˆubh)”}”(hŒ
foxplainer”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%foxplainer-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 250602ddae56ffe7717c08c951b734b4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/foxplainer-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@df504b327c00aba98dc7adecce3c3479bbee52737febc3a6387797e7975c2539”h2NhNh3(Œanytree >=2.8.0”Œipywidgets >=7.7.1”Œnumpy >=1.23.2”Œpandas >=1.4.3”Œpython >=3.8”Œscikit-learn >=1.1.2”Œsix >=1.16.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÁ63™©ühEJ½B= hFˆubh)”}”(hŒr-data.tree”h#Œ1.0.0”h%Œr41hd8ed1ab_0”h'K hhh(h)hŒ'r-data.tree-1.0.0-r41hd8ed1ab_0.tar.bz2”h+Œ abbdb3a8b4b5355f83f0a9c674ee7230”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-data.tree-1.0.0-r41hd8ed1ab_0.tar.bz2”h0Œ@1fb5b27b6aa220b8d1e51472b52f13095437dbb63d37fbf70695a4da5706eb86”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-diagrammer >=1.0.0”Œr-r6”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+úªš¬hEJ hFˆubh)”}”(hŒr-gganimate”h#Œ1.0.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-gganimate-1.0.8-r41hc72bb7e_1.tar.bz2”h+Œ b15760df374e6c76617568fc99e34876”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gganimate-1.0.8-r41hc72bb7e_1.tar.bz2”h0Œ@956b36e111228ad9fcaf9a3939a7a78720dfd78e3c6cc0c9e04e4da3a2544dc4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-glue”Œr-plyr”Œ
r-progress”Œr-rlang”Œr-scales”Œ	r-stringi”Œr-tweenr >=1.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒw«š~úhEJŸ hFˆubh)”}”(hŒr-pkgconfig”h#Œ2.0.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-pkgconfig-2.0.3-r36h6115d3f_0.tar.bz2”h+Œ e5d86c1ff36c8be6920a8d45695739e7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pkgconfig-2.0.3-r36h6115d3f_0.tar.bz2”h0Œ@76063df6be0ad1ade35fc094e9e306dae117f1a7ececca8032ebcda701331b79”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×aþ9­ãThEM/ahFˆubh)”}”(hŒligotools-cache”h#Œ1.2.0”h%ja h'Khhh(h)hŒligotools-cache-1.2.0-1.tar.bz2”h+Œ b4085e86f4761916dc387365bf6673d9”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ligotools-cache-1.2.0-1.tar.bz2”h0Œ@5cc69a0f66511ccf7ac4f244aba79ef1f6dc936b009913c00076ad2fc0ee94a8”h2NhNh3Œperl”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGA×e„¶ÙhEM}MhFˆubh)”}”(hŒlibxau-cos7-ppc64le”h#Œ1.0.8”h%Œha826a6f_103”h'Kghhh(h)hŒ.libxau-cos7-ppc64le-1.0.8-ha826a6f_103.tar.bz2”h+Œ c896c7f759534df67830a17b11c56b32”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-ppc64le-1.0.8-ha826a6f_103.tar.bz2”h0Œ@30d1593e7b76548cfea5ff201b55273b90a9fad03190c32ef31c675034957e5e”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/X å`hEMAchFˆubh)”}”(hŒ	pathtools”h#Œ0.1.2”h%Œpy_1”h'Khhh(h)hŒpathtools-0.1.2-py_1.tar.bz2”h+Œ 7c9b5632c61951216374dbaa34659301”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pathtools-0.1.2-py_1.tar.bz2”h0Œ@d11dab35f9a669458d93f71a28158517a7624405c9cbe665aa60cb3ffb01de4b”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÒ‹l(öhEMœhFˆubh)”}”(hŒr-gbrd”h#Œ0.4_11”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ&r-gbrd-0.4_11-r40hc72bb7e_1003.tar.bz2”h+Œ 3164b2192c9e6a470a41ad10137ded60”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gbrd-0.4_11-r40hc72bb7e_1003.tar.bz2”h0Œ@926ff8174453f4cbf468af65b0d8900faeae77589e282cc025ee23d3f26c631e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØtˆÁ
=hEMÝhFˆubh)”}”(hŒclick-config-file”h#Œ0.6.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,click-config-file-0.6.0-pyhd8ed1ab_1.tar.bz2”h+Œ d115fd7c41f0c0fe57a5416a494a8183”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/click-config-file-0.6.0-pyhd8ed1ab_1.tar.bz2”h0Œ@b7081d7bcadbccfa51d643c9d7efc9e2c65e0622c06731a127950f14d1236075”h2NhNh3Œclick >=7.1”Œconfigobj >=5.0.6”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ"I¬ýôhEM$hFˆubh)”}”(hŒpytablewriter”h#Œ0.64.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pytablewriter-0.64.2-pyhd8ed1ab_0.tar.bz2”h+Œ a5cf6ad60ad891f0ce73d957ffe0676b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytablewriter-0.64.2-pyhd8ed1ab_0.tar.bz2”h0Œ@209b05663ffb8f1d9d9c7c71f1e7624f264b1ca9b1eb68e366582789d94ac8d2”h2NhNh3(Œdataproperty >=0.49.1”Œmbstrdecoder >=1.0.0”Œmsgfy >=0.1.0”Œpathvalidate >=2.3.0”Œpython >=3.6”Œsetuptools >=38.3.0”Œtabledata >=1.1.1”Œtcolorpy >=0.0.5”Œtypepy >=1.1.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØŽºÓohEJŠ hFˆubh)”}”(hŒr-semnetdictionaries”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ0r-semnetdictionaries-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ e877c6a655c7ac02b6de9bcf8bbe2670”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-semnetdictionaries-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@f6687129a24f3b0cb18a4c4d644d753ef9adae9af5aaa69129bb571d78bd5a16”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-easycsv”Œr-knitr”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØyv´BáHhEJíë5 hFˆubh)”}”(hŒnox”h#Œ	2021.10.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"nox-2021.10.1-pyhd8ed1ab_0.tar.bz2”h+Œ c29de03dc9c5595cb011a6b2204c14f5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/nox-2021.10.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2f453a747762a186a500c2dbbc8dd78bc717223725d3701686083e79b02aee50”h2NhNh3(Œargcomplete >=1.9.4,<2.0”Œcolorlog >=2.6.1,<5.0.0”Œimportlib_metadata”Œjinja2”Œpackaging >=20.9”Œpy >=1.4.0,<2.0.0”Œpython >=3.6”Œvirtualenv >=14.0.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØV)Õõ?}hEMœhFˆubh)”}”(hŒpy4j”h#Œ0.10.9.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"py4j-0.10.9.7-pyhd8ed1ab_0.tar.bz2”h+Œ 0f01a52cf858aef86632a8ab08011c0c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/py4j-0.10.9.7-pyhd8ed1ab_0.tar.bz2”h0Œ@5a1d134f58dbc2c77b7985069a5485fe4aa09d49f1b545087913af62559ff738”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ½Úz7ß;hEJ`× hFˆubh)”}”(hŒr-multigroup”h#Œ0.4.5”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-multigroup-0.4.5-r41hc72bb7e_2.tar.bz2”h+Œ bfdbc12c5707a8cdf94716dc2afe4b1f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multigroup-0.4.5-r41hc72bb7e_2.tar.bz2”h0Œ@90d37266f95e6775188e3dfc0c76f89134a684108b42a7b18162e8be89c2f0e8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒLë¬ýôhEJ\ hFˆubh)”}”(hŒr-unbalanced”h#Œ2.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-unbalanced-2.0-r42hc72bb7e_2.tar.bz2”h+Œ d3dfbaacaa1f47f5b3a40dfd594d375f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-unbalanced-2.0-r42hc72bb7e_2.tar.bz2”h0Œ@6cde26238cd9baaf6a329055e6a904d4a80c2c970ac370f1834f4202c1cd26fd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-doparallel”Œr-fnn”Œ	r-foreach”Œr-mlr”Œr-rann”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒéó¶§ðhEJ—p hFˆubh)”}”(hŒcaelus”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!caelus-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 87879406f23f2e391512355fdeb9910c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/caelus-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f32977026ed6ee0c4cfe6fa6c53539b2d400523da8554047b1ccf6c4937e7a54”h2NhNh3(Œjinja2”Œmatplotlib-base”Œnumpy”Œply”Œpython >=3.6”Œpytz”Œpyyaml”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ8.¨r°hEJü
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r-sgeostat”Œr-spatstat.geom”Œr-spatstat.random”Œ	r-splancs”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØªç =qhEJ¯	 hFˆubh)”}”(hŒr-plot3drgl”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-plot3drgl-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ a3940c7161b82c749f4e13a7d4f81aeb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-plot3drgl-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@d0325667b1239b79cb221f3cb37c61e21ca57292dc8cc5b30ef2bd75d8a5ba2c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plot3d”Œr-rgl”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ,.iÀ  hEJ)ä hFˆubh)”}”(hŒlibxtst-devel-cos7-ppc64le”h#Œ1.2.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5libxtst-devel-cos7-ppc64le-1.2.3-hdf0574f_102.tar.bz2”h+Œ c4468b055a2ffb6d071a7385d7bdbd0d”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos7-ppc64le-1.2.3-hdf0574f_102.tar.bz2”h0Œ@18212638d5051a510083c7f364b8aa76d40345924c4e4f7dc2045c4e0ac036ce”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶OÜzáhEMe.hFˆubh)”}”(hŒlibx11-devel-cos7-aarch64”h#Œ1.6.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libx11-devel-cos7-aarch64-1.6.7-ha826a6f_1103.tar.bz2”h+Œ f6bea25d69db4a4c38ad503933af5222”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-aarch64-1.6.7-ha826a6f_1103.tar.bz2”h0Œ@5b3bb2cb249af6c803ddeb4d28222f4d3a8f6bc7d7f5f41eb96b320b6d8aa3ea”h2NhNh3Œ"libx11-cos7-aarch64 ==1.6.7 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2Íš-hEJ0Y hFˆubh)”}”(hŒr-ncmeta”h#Œ0.3.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-ncmeta-0.3.5-r42hc72bb7e_0.tar.bz2”h+Œ ae70b3c8e2dc4deebd496a25ed8c66b9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ncmeta-0.3.5-r42hc72bb7e_0.tar.bz2”h0Œ@b054d33c4ac7a512bcdff381381b40fd411ae3cc156d853dd4084d2e087e4b5e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-rlang”Œ	r-rnetcdf”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÖŠ­ 1'hEJŽ‹ hFˆubh)”}”(hŒnitro”h#Œ2.7.dev6”h%Œ
he1b5a44_0”h'K hhh(h)hŒ!nitro-2.7.dev6-he1b5a44_0.tar.bz2”h+Œ 55ea27f0becfb9579bde56469036add6”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/nitro-2.7.dev6-he1b5a44_0.tar.bz2”h0Œ@e03e81c4a46cf78837a1c23257f716169ca8ca372794ac3a9d06ea6d433d7690”h2NhNh3Œlibgcc-ng >=7.3.0”Œlibstdcxx-ng >=7.3.0”†”h9hºh@ŒGPL 3.0”hDGA×nirŸ¾hEJV hFˆubh)”}”(hŒfontconfig-cos6-x86_64”h#Œ2.8.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ1fontconfig-cos6-x86_64-2.8.0-h9d98e8f_104.tar.bz2”h+Œ f8e499b90cce3fa940d2a8a42cd35d81”h.Œ_https://conda.anaconda.org/conda-forge/noarch/fontconfig-cos6-x86_64-2.8.0-h9d98e8f_104.tar.bz2”h0Œ@443272faf2c76a76317bffbbf3038c1d69e0c656444ae4cf4a724097d1a4446f”h2NhNh3Œ"freetype-cos6-x86_64 >=2.1.4 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzÆ5?hEJ=Ð hFˆubh)”}”(hŒ	sbml2sbol”h#Œ0.1.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%sbml2sbol-0.1.13-pyhd8ed1ab_0.tar.bz2”h+Œ 8cc8fdd98175cc4641f23d3cdd7f77d8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sbml2sbol-0.1.13-pyhd8ed1ab_0.tar.bz2”h0Œ@528a0ea6ad623b96eb9384fd6c15640c52bedc75790b70c611aefc0a11f306f0”h2NhNh3(Œpython 3.7.*”Œpython-libsbml”Œrequests”Œsynbiochem-py”t”h9h?h@ŒMIT”hBŒMIT”hDGAØl*‰&éhEJ\Ð5hFˆubh)”}”(hŒr-tablerdash”h#Œ0.1.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ(r-tablerdash-0.1.0-r40h6115d3f_2.tar.bz2”h+Œ f7b484397d29a59dc7188e340e19345b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tablerdash-0.1.0-r40h6115d3f_2.tar.bz2”h0Œ@79e983fbe983a3bdb372c4dfe9d88b78e3fa04af490b20a75bc157286c87fbaf”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-knitr”Œr-shiny”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬J5‡|îhEJ5© hFˆubh)”}”(hŒnapari-matplotlib”h#Œ0.2.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,napari-matplotlib-0.2.1-pyhd8ed1ab_1.tar.bz2”h+Œ e947515d04c9b2630602798e867ebaa9”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/napari-matplotlib-0.2.1-pyhd8ed1ab_1.tar.bz2”h0Œ@441c53faea025413dee85e8c2421eccba02bc25c1124144949278d0a4cf95d5e”h2NhNh3(Œmatplotlib-base”Œnapari”Œnumpy”Œpython >=3.8”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¨åÅ=hEJà hFˆubh)”}”(hŒr-futile.options”h#Œ1.0.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ/r-futile.options-1.0.1-r35h6115d3f_1001.tar.bz2”h+Œ d02ee98863332b4ad2122996cb133599”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-futile.options-1.0.1-r35h6115d3f_1001.tar.bz2”h0Œ@5ba9b851f8d1e5f49b76c44d9adce34d4af61c05100de617cd37e026d820fdec”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×Kð[‘ÊÁhEMŸ]hFˆubh)”}”(hŒprefsync”h#Œ1.2”h%Œpyhd8ed1ab_1002”h'Mêhhh(h)hŒ$prefsync-1.2-pyhd8ed1ab_1002.tar.bz2”h+Œ 66521bd0ea417d8fb459e939dd3dc892”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/prefsync-1.2-pyhd8ed1ab_1002.tar.bz2”h0Œ@5da0f430b09c52db735a6fb9df6077d8d2cedf3db242691c0e54cc8f326b8e1a”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØz¯5hEMF-hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-ppc64le”h#Œ1.20.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ?xorg-x11-server-common-cos7-ppc64le-1.20.4-h9b0a68f_105.tar.bz2”h+Œ 6403a83893cab5fb963a2f7338876b6c”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-ppc64le-1.20.4-h9b0a68f_105.tar.bz2”h0Œ@c497824a3a3a7c5d422282eb8f9c6cb59eb81d7e9cb729b3ce980bac2df0abaa”h2NhNh3Œ"pixman-cos7-ppc64le >=0.30.0 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŠøFÙhEM‰hFˆubh)”}”(hŒpyquicksetup”h#Œ0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyquicksetup-0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 31acd9b939974c4c8a1aad701a2083ca”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyquicksetup-0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@b51e4a73fb2888262e51bf9b82ca0e9f381fe22ee52fa61ceff7688a9583b299”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ#ØiÛ#hEM %hFˆubh)”}”(hŒdraftjs_exporter”h#Œ3.0.0”h%Œpy_0”h'K hhh(h)hŒ#draftjs_exporter-3.0.0-py_0.tar.bz2”h+Œ e59ee64d7c33a560768270b1b23662a6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/draftjs_exporter-3.0.0-py_0.tar.bz2”h0Œ@a34fe8665ce8d8b2d5884baff0f49deb3c65265a9dddf3bdf0083ac78a228ded”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ƒ˜Å3…hEMoThFˆubh)”}”(hŒr-ic10trainingdata”h#Œ1.3.1”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ2r-ic10trainingdata-1.3.1-r351h6115d3f_1000.tar.bz2”h+Œ e8234f73e1e00c0fa9a1278dd59759b0”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-ic10trainingdata-1.3.1-r351h6115d3f_1000.tar.bz2”h0Œ@864928da7245f0669daae32e6cf9f95dbddc75719f34720589af267f7d6cd9d4”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖýþaÞvÉhEJ¢¦a hFˆubh)”}”(hŒsupermercado”h#Œ0.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'supermercado-0.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ 5ceb9ff34d3b94ace902c45b427389fa”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/supermercado-0.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@b5d844f8116308088bcf58a5de6d2f551a4441e8b31aa13ea7619f5bb86ceb1a”h2NhNh3(Œaffine”Œclick”Œclick-plugins”Œcligj”Œ
mercantile”Œnumpy”Œpython”Œrasterio”t”h9h?h@ŒMIT”hBŒMIT”hDGA×áÖÑ¢Ÿ¾hEMÂ)hFˆubh)”}”(hŒ	trio-util”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$trio-util-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ a152c65fdd635a4445be6e4ae6872522”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/trio-util-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fcf01586c8e7c3bbec9f8cb67d147e7f41747cb31fb510e83ac7eb10fa771e53”h2NhNh3Œasync_generator”Œpython >=3.7”Œtrio >=0.11.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØi{•Ú-hEMïIhFˆubh)”}”(hŒr-svdialogs”h#Œ1.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-svdialogs-1.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 72e3d656222b2e3dde45ad8dee896a4e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-svdialogs-1.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@3eea9db6c54760ad1a55e7ac48d8e4839bc8677d30bba68d36e2ed2c9944a924”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rstudioapi >=0.7”Œr-svgui >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØž‰¯²hEJÙ_ hFˆubh)”}”(hŒr-tractor.base”h#Œ3.3.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-tractor.base-3.3.5.1-r40hc72bb7e_0.tar.bz2”h+Œ b48536292eca39c36193f1519930770e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tractor.base-3.3.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@b94597a9be2352e408198ef7eb7d1837bfb85f8276914ace2ba4832b14545022”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ore >=1.3.0”Œ	r-reportr”Œr-rnifti”Œr-shades”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÁ™¼<záhEJ#n% hFˆubh)”}”(hŒatk-devel-cos7-aarch64”h#Œ2.28.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2atk-devel-cos7-aarch64-2.28.1-h9d98e8f_104.tar.bz2”h+Œ 41d1ed1eae5d36f1b868ed5dc5cda17d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos7-aarch64-2.28.1-h9d98e8f_104.tar.bz2”h0Œ@8e72be80d3386701ebe9e1067a504227d1ec9741c6b720cdbc91a153cb60f062”h2NhNh3Œatk-cos7-aarch64 ==2.28.1 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉzºMãThEJ» hFˆubh)”}”(hŒlibxfixes-devel-cos7-x86_64”h#Œ5.0.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libxfixes-devel-cos7-x86_64-5.0.3-h9d98e8f_1104.tar.bz2”h+Œ a67baa0d70741e1cebe432c5ffde6748”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-x86_64-5.0.3-h9d98e8f_1104.tar.bz2”h0Œ@6a6030377952117ea8a0d3c259beb7c133757e9f6232248e8208b2e05c12dece”h2NhNh3Œ$libxfixes-cos7-x86_64 ==5.0.3 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉCý¡ËhEME&hFˆubh)”}”(hŒ	r-lassopv”h#Œ0.2.0”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ(r-lassopv-0.2.0-r35h6115d3f_1001.tar.bz2”h+Œ ec6bb7c0914985be6db0a622d1532ae7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-lassopv-0.2.0-r35h6115d3f_1001.tar.bz2”h0Œ@129f25a90adb7c78885c172d50b93465f4c7e1c771f4f1c985eef307bff82cfd”h2NhNh3Œr-base 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d7d5f79ba78e2fb91df81769d761b950”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elasticnet-1.3-r41hc72bb7e_0.tar.bz2”h0Œ@283de0ff6b48152ff95d862e4e2045fe36445259577c99b82199a75417dd1098”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lars”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*ì³.VhEJ7Ò hFˆubh)”}”(hŒlibxrender-cos7-aarch64”h#Œ0.9.10”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4libxrender-cos7-aarch64-0.9.10-hdf0574f_1102.tar.bz2”h+Œ 46235a4ae24eb6f968bf2c53b78b6b28”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxrender-cos7-aarch64-0.9.10-hdf0574f_1102.tar.bz2”h0Œ@af492986ba4d4b408af4ab880f89e85ba6d18bc58c7dc2852b1252f5982f8c95”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµU|“hEM\•      hFˆubh)”}”(hŒmth5”h#Œ0.2.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmth5-0.2.5-pyhd8ed1ab_0.tar.bz2”h+Œ 524ce9cf6bbb10851fd968e37067d008”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/mth5-0.2.5-pyhd8ed1ab_0.tar.bz2”h0Œ@f85f346c3c885fa69692dbb27587043f34eacd9da986e32ed27af3dfc815386f”h2NhNh3(Œh5py”Œmatplotlib-base”Œmt-metadata”Œnumpy”Œobspy”Œpandas”Œpython >=3.5”Œpyyaml”Œscipy”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ•–hbhEJÔt hFˆubh)”}”(hŒ	r-statnet”h#Œ2019.6”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ&r-statnet-2019.6-r41hc72bb7e_3.tar.bz2”h+Œ 2cf182f60c60e6e0ebd1bfdbd223af95”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-statnet-2019.6-r41hc72bb7e_3.tar.bz2”h0Œ@0a32bf259cf735617fa7ac465f56c45a01230fd5793b2c53c36c226598c15943”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ergm >=3.10.4”Œr-ergm.count >=3.3”Œr-network >=1.15”Œr-networkdynamic >=0.10”Œr-sna >=2.4”Œr-statnet.common >=4.2”Œr-tergm >=3.6.1”Œr-tsna >=0.3”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑþqÜýôhEM®¯hFˆubh)”}”(hŒr-rhub”h#Œ1.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-rhub-1.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 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r-jsonlite”Œr-parsedate”Œr-pillar”Œr-prettyunits”Œ
r-processx”Œr-r6”Œ
r-rappdirs”Œr-rcmdcheck >=1.2.1”Œ	r-rematch”Œr-tibble”Œr-uuid”Œr-whoami”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÃíŠˆbNhEJ® hFˆubh)”}”(hŒface-recognition”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+face-recognition-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3d9a2d189b5dd1368b607e33bfc2f261”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/face-recognition-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9fc140d5270f93242ac73a223227e593a3c98e2209a8bb22f7453bd3d7820a63”h2NhNh3(Œclick >=6.0”Œdlib >=19.7”Œface_recognition_models >=0.3.0”Œnumpy”Œpillow”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÎÑ–OPhEMFhFˆubh)”}”(hŒ	r-etrunct”h#Œ0.1”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ&r-etrunct-0.1-r41hc72bb7e_1004.tar.bz2”h+Œ 69bd10fe22472c6797cc642afe56169f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-etrunct-0.1-r41hc72bb7e_1004.tar.bz2”h0Œ@95b5447499dbc380ba79d9d340a14d14c49c6818bc090f34178ebf9e8a64fc3d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ±$“hEM·HhFˆubh)”}”(hŒxcb-util-cos7-x86_64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0xcb-util-cos7-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ 81a15523883b3a288375332155f52e3f”h.Œ^https://conda.anaconda.org/conda-forge/noarch/xcb-util-cos7-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@d6798e455c3f55a8e6d7058ef8ad4a2ea8967ea88ec20ced14b293908605b3f4”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@fË¯®hEM/=hFˆubh)”}”(hŒr-highcharter”h#Œ0.9.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-highcharter-0.9.4-r40hc72bb7e_0.tar.bz2”h+Œ e2ba5e6dc8b9f840767bf01a5da19b36”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-highcharter-0.9.4-r40hc72bb7e_0.tar.bz2”h0Œ@21b690248206a1d111b68789147aaad9b8c21130cb7588facaa6fba5f035e29e”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-broom”Œr-dplyr >=0.7.0”Œr-htmltools”Œr-htmlwidgets”Œr-igraph”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œ
r-quantmod”Œr-rjson”Œr-rlang >=0.1.1”Œr-rlist”Œr-stringr >=1.3.0”Œr-tibble >=1.1”Œr-tidyr”Œr-xts”Œr-yaml”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØt×©XhEJW¨ hFˆubh)”}”(hŒarn”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒarn-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 9afd69c7b75a4e3bba35ffdb9ae8691e”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/arn-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@1a35827d779b986e01b7471139840f93653b857d53d7c58ec4f56bacdee23c4d”h2NhNh3Œdataclasses”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause-Clear”hBŒBSD”hDGAØ¬$@£×hEM/hFˆubh)”}”(hŒlibxcomposite-devel-cos7-x86_64”h#Œ0.4.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;libxcomposite-devel-cos7-x86_64-0.4.4-h9b0a68f_1105.tar.bz2”h+Œ 9aa7143260d5577a2a22f637be0f1d76”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos7-x86_64-0.4.4-h9b0a68f_1105.tar.bz2”h0Œ@f6dccc22e5b1195a89ce91e195f38d734a62d61f0b8dc99ecf8832bf2de5df4e”h2NhNh3Œ(libxcomposite-cos7-x86_64 ==0.4.4 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@l;Íó¶hEMÖ.hFˆubh)”}”(hŒpandas_read_xml”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pandas_read_xml-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0a430396cc2e40160b8c1508a48ce925”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pandas_read_xml-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9983197c199f0cbdaeee5cc2f6fa22b533bdedbe252ecda85dc47850ddb50d67”h2NhNh3(Œpandas”Œpython >=3.6”Œrequests”Œ	xmltodict”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¤Š÷é©ühEM´'hFˆubh)”}”(hŒp11-kit-cos7-ppc64le”h#Œ0.23.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ0p11-kit-cos7-ppc64le-0.23.5-hdf0574f_102.tar.bz2”h+Œ ba4eed219d494e1de939dec1e138c033”h.Œ^https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-ppc64le-0.23.5-hdf0574f_102.tar.bz2”h0Œ@408f5161411b715ed882057bd2028e684708a6bb3e4f4145679a303937d21a94”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Åá{ÁÛ#hEJSM hFˆubh)”}”(hŒr-rebus.unicode”h#Œ0.0_2”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ/r-rebus.unicode-0.0_2-r351h6115d3f_1000.tar.bz2”h+Œ 93cfc8fb7b06a240777fe679165a57d5”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-rebus.unicode-0.0_2-r351h6115d3f_1000.tar.bz2”h0Œ@a87e79d90895dd3fcd559331e4de297a73ec35477c7c2eb666a363b0c1f88339”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-rebus.base >=0.0_2”†”h9hºh@Œ	Unlimited”hBŒMIT”hDGA×Ÿ[;•hEJ± hFˆubh)”}”(hŒr-argumentcheck”h#Œ0.10.2”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ/r-argumentcheck-0.10.2-r36h6115d3f_1003.tar.bz2”h+Œ 93e56f5d3c7832196c8d58f6127848f9”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-argumentcheck-0.10.2-r36h6115d3f_1003.tar.bz2”h0Œ@8fe71c08b410d79b2829319ec928306e4c7db856afa5fec04799684dbd01f018”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­´R°!hEMÜÄhFˆubh)”}”(hŒsockjs-tornado”h#Œ1.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)sockjs-tornado-1.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 5c71808641f09ff337d2013ad70e86f6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sockjs-tornado-1.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@ba73a2bf2db922ea567ab87d65ff2ce46de30f417136f0b554814006f950ff9a”h2NhNh3Œpython >=3.6”Œtornado >=4.0.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ99Vÿ²hEM<_hFˆubh)”}”(hŒdill”h#Œ0.3.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!dill-0.3.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ d713e993cf5e84bfe522ca1520b095b3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/dill-0.3.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b775b17b9bc34c8b0c8d36ad89041ccc4c763dbbbc1e16a577e6fe7a96e12a84”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡ë^5?hEJ/ hFˆubh)”}”(hŒlux-api”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"lux-api-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 967b83142275906fce2cd94e4cf83893”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/lux-api-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@50fe8e401fc8f91d760cc720417fc880ff3c9f69e4d1d3f41408d9c01275986f”h2NhNh3(Œaltair >=4.0.0”Œautopep8”Œiso3166”Œlux-widget >=0.1.4”Œmatplotlib-base >=3.0.0”Œnumpy >=1.16.5”Œpandas >=1.2.0,<1.3.0”Œpsutil”Œpython >=3.6”Œscikit-learn >=0.22”Œscipy >=1.3.3”Œsh”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ„JÁ}OßhEJ:¢ hFˆubh)”}”(hŒr-randomcolor”h#Œ1.1.0.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-randomcolor-1.1.0.1-r36h6115d3f_1.tar.bz2”h+Œ 411b4d573184a8c76c8893ea6ae6325b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-randomcolor-1.1.0.1-r36h6115d3f_1.tar.bz2”h0Œ@82d0dde23270c1ea55680f2a19048a9194f0201721c4da2392cb078aeca05263”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”Œr-colorspace”Œr-rtsne”Œr-scales”Œ	r-stringr”Œr-v8”t”h9hºh@ŒCC0”hBŒCC”hDGA×¬{D‹DhEMs‡hFˆubh)”}”(hŒstructdbrest”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'structdbrest-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ ca3e516640e3b9f958aaec5a6e9199c5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/structdbrest-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c9011dbeea4b6337ccbefe0829f647ae4d3fe55c6857ede4984ebfc1b206b9ff”h2NhNh3(Œ
ase >=3.18”Œnumpy”Œpandas”Œpython >=3.6”Œrequests”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØK’ bhEM_hFˆubh)”}”(hŒ
evaml-core”h#Œ0.12.2”h%Œpy_0”h'K hhh(h)hŒevaml-core-0.12.2-py_0.tar.bz2”h+Œ caf73858ce236fa12ddb8da6cf2218d0”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/evaml-core-0.12.2-py_0.tar.bz2”h0Œ@809811f9e0f347e2ed176e8d05bd73050e344bce378939ef3880b809a67bb3b6”h2NhNh3(Œclick >=7.0.0”Œcloudpickle >=0.2.2”Œcolorama”Œnumpy >=1.16.4”Œpandas >=0.25.0”Œpsutil >=5.6.3”Œpython >=3.6.*”Œrequirements-parser >=0.2.0”Œ$scikit-learn >=0.21.3,!=0.22,<0.23.0”Œscikit-optimize”Œscipy >=1.2.1,<1.5.0”Œshap >=0.35.0”Œtexttable >=1.6.2”Œtqdm >=4.33.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Ë±š+¥ãhEJVT} hFˆubh)”}”(hŒr-rprojroot”h#Œ2.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-rprojroot-2.0.3-r41hc72bb7e_0.tar.bz2”h+Œ 4c97577b6f80853234f34b548d8140ec”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rprojroot-2.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@2b129c39f4ca173dd0a1a15dc287defe6855b24a8ab06e50b7c0f08ae0199318”h2NhNh3Œr-backports”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ’97õ¸hEJ
Ì hFˆubh)”}”(hŒr-reader”h#Œ1.0.6”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-reader-1.0.6-r40hc72bb7e_1.tar.bz2”h+Œ b5ba79c3ddebbb15577363b4fd7705ad”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-reader-1.0.6-r40hc72bb7e_1.tar.bz2”h0Œ@387c92f6d759356700fa2c23ab32d5bd796c4080098912b3ee0b4ebcfa233fa2”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ncmisc >=1.1”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+˜êÐåhEJ
ê hFˆubh)”}”(hŒr-phylotate”h#Œ1.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-phylotate-1.3-r35h6115d3f_0.tar.bz2”h+Œ e3c573a5cc81859655bfee2e2cb83ae2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-phylotate-1.3-r35h6115d3f_0.tar.bz2”h0Œ@b77dc55f1bfb2fdbddc922604efa136027fac2bb01d208b584f51dcc5a0ef7b2”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¯u8‚~úhEJÓ hFˆubh)”}”(hŒalsa-lib-devel-cos7-ppc64le”h#Œ1.1.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6alsa-lib-devel-cos7-ppc64le-1.1.8-h9d98e8f_104.tar.bz2”h+Œ f2e10af8830868dda011709c822e5f81”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/alsa-lib-devel-cos7-ppc64le-1.1.8-h9d98e8f_104.tar.bz2”h0Œ@c603a034b066fbeae77fc1b832bad0423b1aba5b8322bff02c210380cfe6fb12”h2NhNh3Œ#alsa-lib-cos7-ppc64le ==1.1.8 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É{“Ân˜hEJEñ hFˆubh)”}”(hŒlibudev-devel-cos6-x86_64”h#Œ147”h%Œha826a6f_103”h'Kghhh(h)hŒ2libudev-devel-cos6-x86_64-147-ha826a6f_103.tar.bz2”h+Œ 71f89924da9cadeadb668a5f0660d2d0”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libudev-devel-cos6-x86_64-147-ha826a6f_103.tar.bz2”h0Œ@36bc84c704a466f2c0b5f2a464d51201ff5e306e20da44e9744431aa453ec934”h2NhNh3Œlibudev-cos6-x86_64 147”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1WÎÙhEM,phFˆubh)”}”(hŒr-aggregation”h#Œ1.0.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ,r-aggregation-1.0.1-r40h6115d3f_1002.tar.bz2”h+Œ 191f2530834837ea0b76e01259a509aa”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-aggregation-1.0.1-r40h6115d3f_1002.tar.bz2”h0Œ@6139acd888d0c27cb92c9c674931827dbd91733453a1346678271b22200bbc1a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­TNÜ¬hEMIzhFˆubh)”}”(hŒnss-softokn-freebl-cos7-ppc64le”h#Œ3.44.0”h%Œh1795305_101”h'Kehhh(h)hŒ;nss-softokn-freebl-cos7-ppc64le-3.44.0-h1795305_101.tar.bz2”h+Œ 33d3a402a82d2a89350ed793899d5a6d”h.Œihttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-ppc64le-3.44.0-h1795305_101.tar.bz2”h0Œ@028c4d322b2cf709409c654c9a962cb0a428c82ceb67c14afabeb78c0f52e107”h2NhNh3Œnspr-cos7-ppc64le >=4.21.0”Œnss-util-cos7-ppc64le >=3.44.0”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇ‘›"ÑhEJ; hFˆubh)”}”(hŒ
r-powerlaw”h#Œ0.70.6”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-powerlaw-0.70.6-r42hc72bb7e_2.tar.bz2”h+Œ 006551776b5810eb590f1f3d2cd9c4c7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-powerlaw-0.70.6-r42hc72bb7e_2.tar.bz2”h0Œ@9512e0516dfa4bd86ea1f79ad8ad850227cf11f03b09b46c800f6e1bb2f49107”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-pracma”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÒ6n˜hEJ…‹2 hFˆubh)”}”(hŒlibsm-cos7-aarch64”h#Œ1.2.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libsm-cos7-aarch64-1.2.2-h9d98e8f_104.tar.bz2”h+Œ 2cbea5d4ccd375ad161c60dd4f338ad1”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libsm-cos7-aarch64-1.2.2-h9d98e8f_104.tar.bz2”h0Œ@e4a85dda8e3d66f9c23a9679d70aaf01e52fd95f6dfaf4625055a2695468dc20”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éyð¡©ühEM=hFˆubh)”}”(hŒr-shinydashboardplus”h#Œ2.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ0r-shinydashboardplus-2.0.3-r41hc72bb7e_0.tar.bz2”h+Œ 1d1e3dfeb104bb9461f5266dbe590a30”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-shinydashboardplus-2.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@37c00917e77379e57a63e99080abd4af3faae3829374079fd2d5907343165f8f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fresh”Œr-htmltools”Œr-lifecycle”Œr-shiny”Œr-shinydashboard”Œr-waiter”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØPªñÍhEJ¡w hFˆubh)”}”(hŒ	r-effects”h#Œ4.2_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-effects-4.2_2-r42hc72bb7e_1.tar.bz2”h+Œ 9a000a12e3a141e97720a8cd895669be”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-effects-4.2_2-r42hc72bb7e_1.tar.bz2”h0Œ@8aff39319c335fd1bbc54b622db5df1d0eebebd38f4ed7d873f56cda6d0663f7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-cardata”Œr-colorspace”Œr-estimability”Œ	r-insight”Œ	r-lattice”Œr-lme4”Œr-nnet”Œr-survey”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒòúÌí‘hEJÙ¤$ hFˆubh)”}”(hŒr-useful”h#Œ1.2.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-useful-1.2.6-r41hc72bb7e_0.tar.bz2”h+Œ 5d428fd9feb57a4260c5607867973196”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-useful-1.2.6-r41hc72bb7e_0.tar.bz2”h0Œ@8b4f2c2976a8dc44cc6699c8d74434b07b60eeb6af4f431696a2d269af3955a9”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œ
r-magrittr”Œr-matrix”Œr-plyr”Œr-purrr >=0.1.0”Œr-scales”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ+°qn˜hEJøž hFˆubh)”}”(hŒr-pack”h#Œ0.1_1”h%Œr40_1002”h'Mêhhh(h)hŒr-pack-0.1_1-r40_1002.tar.bz2”h+Œ 04410c506f025a2d068fb33cbec03c24”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-pack-0.1_1-r40_1002.tar.bz2”h0Œ@6fe87c42d21764967cce0844c7219324398313d68bf5d071bd1065b9e6097bf7”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¬œ9-VhEMÆ«hFˆubh)”}”(hŒplotly-orca”h#Œ3.4.2”h%j3G h'K hhh(h)hŒplotly-orca-3.4.2-0.tar.bz2”h+Œ 63aa0b395514d4c404bd24effe3b13c7”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/plotly-orca-3.4.2-0.tar.bz2”h0Œ@b88556b49a1c3fc8929c10c83c8ee33e3e3bc33949bfb385612e57e2393d89e0”h2NhNh3Œnodejs”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¸6«UVhEJÑÃ. hFˆubh)”}”(hŒ	rb-liquid”h#Œ4.0.3”h%Œ
hc42de5b_0”h'K hhh(h)hŒ"rb-liquid-4.0.3-hc42de5b_0.tar.bz2”h+Œ 1e9c0a4f0706f572e5ee9ec771f7fe97”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-liquid-4.0.3-hc42de5b_0.tar.bz2”h0Œ@cf8c5d10d394d5dfa5453c2d57749e9c856a0c99b4ed3512d2de845a5ba9e1e2”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Y¼r›¦hEJZ hFˆubh)”}”(hŒtiled-minimal-base”h#Œ0.1.0a75”h%Œ
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GPL (>= 3)”hBŒGPL3”hDGA×¬öÜ
^5hEJ7? hFˆubh)”}”(hŒr-assertive.matrices”h#Œ0.0_2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ0r-assertive.matrices-0.0_2-r41hc72bb7e_2.tar.bz2”h+Œ 9cdd086d89aa321e87f9edcc519dae80”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.matrices-0.0_2-r41hc72bb7e_2.tar.bz2”h0Œ@9006c668c19bf66ddaf93f5496ac81b70a969a161c98f04cdf920895e4b7b265”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=4.1,<4.2.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ*úf17LhEM¾hFˆubh)”}”(hŒr-multilevel”h#Œ2.7”h%Œr41h785f33e_0”h'K hhh(h)hŒ&r-multilevel-2.7-r41h785f33e_0.tar.bz2”h+Œ d3bb979d26965ce28e8431d48d83b7c0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multilevel-2.7-r41h785f33e_0.tar.bz2”h0Œ@ceeda7257b818648fdd28496488da51bfafb9d4ddc27f0b9aad626f061b8d163”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-nlme”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÃ~_ hEJ	¶ hFˆubh)”}”(hŒpipda”h#Œ0.5.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pipda-0.5.9-pyhd8ed1ab_0.tar.bz2”h+Œ 5fd495d635e6ec18e85824adcd113e23”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pipda-0.5.9-pyhd8ed1ab_0.tar.bz2”h0Œ@3145f6937e128afa4f7000eeebf26408b3416770ca9c503dcb6e907b9edf9c0e”h2NhNh3(Œdiot”Œ	executing”Œpure_eval <1.0.0”Œpython >=3.6”Œvarname”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‘Ù\±&éhEMK]hFˆubh)”}”(hŒr-redshifttools”h#Œ1.0.1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ+r-redshifttools-1.0.1-r40h6115d3f_2.tar.bz2”h+Œ 74133888ca6608897d5f4d09e44218bb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-redshifttools-1.0.1-r40h6115d3f_2.tar.bz2”h0Œ@1212cdb89b131c34ed2b615413c1385efb3f262e486548741c52d95e80d1adc6”h2NhNh3(Œr-aws.s3”Œr-base >=4.0,<4.1.0a0”Œr-dbi”Œ
r-progress”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×­$–Æ¨hEMâhFˆubh)”}”(hŒnumactl-cos6-x86_64”h#Œ2.0.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/numactl-cos6-x86_64-2.0.9-h9d98e8f_1104.tar.bz2”h+Œ 8857f73b17688192ac8c30400c189e4f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/numactl-cos6-x86_64-2.0.9-h9d98e8f_1104.tar.bz2”h0Œ@f8d1226628df82dc506dbe81d57be799a7d69d9198a17bd406c06cfc8178a431”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2/GPLv2”hBŒGPL2”hDGA×Éz%ˆå`hEJ¶m hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_5”h'Khhh(h)hŒ!fenics-fiat-2019.1.0-py_5.tar.bz2”h+Œ d5a4574fd0f78e781042dd471250f9b8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_5.tar.bz2”h0Œ@eb5a0dd8004f50fa67d22dbd0851b3031dd1f459695b5ab75816247d9bce992b”h2NhNh3Œnumpy”Œpython >=3.5”Œ	sympy >=1”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×U¥FFùÛhEJL+ hFˆubh)”}”(hŒqt.py”h#Œ1.2.2”h%Œpy_0”h'K hhh(h)hŒqt.py-1.2.2-py_0.tar.bz2”h+Œ b60c250a01f4836ceb70c7adcd6ee6aa”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/qt.py-1.2.2-py_0.tar.bz2”h0Œ@663b00392bfd67c3be35a0b6a81fe56c9b59033326e49ef83dd8d8a056c6c0ba”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×sóÍ¯ïžhEMŠHhFˆubh)”}”(hŒfreetype-devel-cos7-x86_64”h#Œ2.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ4freetype-devel-cos7-x86_64-2.8-ha826a6f_1103.tar.bz2”h+Œ 08694a12b05da290a4070ebbfb269d78”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos7-x86_64-2.8-ha826a6f_1103.tar.bz2”h0Œ@7dad6368d23e72f834e7ab6f578021d62b64cf55fbc08461ae393c13b8a8f561”h2NhNh3Œ!freetype-cos7-x86_64 ==2.8 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×Æ1r4›¦hEJöK hFˆubh)”}”(hŒotfmi”h#Œ0.15”h%Œpyh6c4a22f_0”h'K hhh(h)hŒotfmi-0.15-pyh6c4a22f_0.tar.bz2”h+Œ 1c41f4123486742e01749e857f18de95”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/otfmi-0.15-pyh6c4a22f_0.tar.bz2”h0Œ@509c9cc4ddb7d3f3870cf772498b82095c697b2328c243b3403d73f48707ecc6”h2NhNh3(Œassimulo >=3.0”Œdill”Œ	openturns”Œpyfmi”Œpython >=3.6”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ{¨?éÊÁhEJ3ƒ& hFˆubh)”}”(hŒlibsm-devel-cos7-aarch64”h#Œ1.2.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libsm-devel-cos7-aarch64-1.2.2-h9b0a68f_105.tar.bz2”h+Œ 66c99c60c635128b46f2d6ab00fa7cb3”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-aarch64-1.2.2-h9b0a68f_105.tar.bz2”h0Œ@3d277aee80bd1240bc1bdfbfe1b0a92f2cff9a230a5ed287f3f20c7cdbf5c234”h2NhNh3Œ libsm-cos7-aarch64 ==1.2.2 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Y4l‹hEM4#hFˆubh)”}”(hŒr-orcme”h#Œ2.0.2”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ&r-orcme-2.0.2-r41hc72bb7e_1002.tar.bz2”h+Œ f3b20f9b48242ca7282d5c6291cc3552”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-orcme-2.0.2-r41hc72bb7e_1002.tar.bz2”h0Œ@603c191c0ca25d369ccdc28e0064ec07daea34e237798284ac5ab5f0b0e8d855”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-iso”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+9‡hEJ†F hFˆubh)”}”(hŒlibxrender-devel-cos6-x86_64”h#Œ0.9.10”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9libxrender-devel-cos6-x86_64-0.9.10-h9d98e8f_1104.tar.bz2”h+Œ 5b4b16234c79d51673321666a79d009c”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos6-x86_64-0.9.10-h9d98e8f_1104.tar.bz2”h0Œ@c6e3d0c8dd77110e434d2617398f853ac3a21100324bbdb22e6716b4696b831a”h2NhNh3Œ&libxrender-cos6-x86_64 ==0.9.10 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É(Ÿ²hEM
0hFˆubh)”}”(hŒjpackage-utils-cos6-x86_64”h#Œ1.7.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5jpackage-utils-cos6-x86_64-1.7.5-hdf0574f_102.tar.bz2”h+Œ b72740ff31444864a3086371f1108aab”h.Œchttps://conda.anaconda.org/conda-forge/noarch/jpackage-utils-cos6-x86_64-1.7.5-hdf0574f_102.tar.bz2”h0Œ@b8d40185d4d3085eca291f3ac5586ea8283781516b273ba5612d1aaa9b1f38f9”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ/v‡+hEM›™hFˆubh)”}”(hŒlibnl-devel-cos6-x86_64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libnl-devel-cos6-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ b726cda06d5e651219f737c6cffa2e3e”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos6-x86_64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@1cdb047ba48980e981f26e274094af71ffb6107cb63db294ecaa67a2aa50480a”h2NhNh3Œ libnl-cos6-x86_64 ==1.1.4 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@Y‚ã…hEJ^p	 hFˆubh)”}”(hŒtifffile”h#Œ
2022.10.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2”h+Œ 1c126ff5b4643785bbc16e44e6327e41”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2”h0Œ@85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33”h2NhNh3Œimagecodecs >=2021.11.20”Œnumpy >=1.19.2”Œpython >=3.8”‡”h6Œmatplotlib-base >=3.3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÑ·œŒ›¦hEJZ~ hFˆubh)”}”(hŒmagic-wormhole”h#Œ0.12.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*magic-wormhole-0.12.0-pyh9f0ad1d_0.tar.bz2”h+Œ aa9c295b381e2ad835c3a249e0dc16e6”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/magic-wormhole-0.12.0-pyh9f0ad1d_0.tar.bz2”h0Œ@8db6854fc002c3b48f7896bba93fcd95ae8955aed6ff07db39da4c6278a8e53d”h2NhNh3(Œattrs >=16.3.0”Œautobahn >=0.14.1”Œautomat”Œclick”Œhkdf”Œhumanize”Œpynacl”Œpython”Œservice_identity”Œsix”Œ
spake2 0.8”Œtqdm >=4.13.0”Œtwisted >=17.5.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¢|ÕýÒòhEJ•" hFˆubh)”}”(hŒ	xyzspaces”h#Œ0.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$xyzspaces-0.7.2-pyhd8ed1ab_0.tar.bz2”h+Œ bcd5b3189c340eca3d349e5deeeafc0b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/xyzspaces-0.7.2-pyhd8ed1ab_0.tar.bz2”h0Œ@034ffd11a3ba5631c08eec3e7a3f9222df0638f74b59ef93b9f56d779d040faf”h2NhNh3(Œbackoff >=1.10.0”Œfiona”Œgeobuf”Œgeojson”Œ	geopandas”Œijson >=3.1.1”Œpyhocon”Œpython >=3.6”Œrequests”Œrequests-oauthlib”Œturfpy >=0.0.3”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØGC“dZhEJ|^ hFˆubh)”}”(hŒr-mote”h#Œ1.0.2”h%Œr40h785f33e_0”h'K hhh(h)hŒ"r-mote-1.0.2-r40h785f33e_0.tar.bz2”h+Œ 7898f46c3c58a5b05de83dd4c1f96a46”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mote-1.0.2-r40h785f33e_0.tar.bz2”h0Œ@aa489fa02969e69ca1abe506e3e153b44f4d5a58c97d38602e988c3b5399e064”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ez”Œr-mbess”Œ	r-reshape”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÃF*¾hEJ½ hFˆubh)”}”(hŒuntangle”h#Œ1.1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#untangle-1.1.1-pyh9f0ad1d_0.tar.bz2”h+Œ af3f14d2c9270bef66322625630f8e67”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/untangle-1.1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@cb4ff78516ab3e2ddff909135210d5a21fd3968acdf938309f86e3a88f599533”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¾£©ÖÈ´hEM‰hFˆubh)”}”(hŒ$_sysroot_linux-64_curr_repodata_hack”h#h²h%Œ
ha9d2b57_9”h'K	hhh(h)hŒ9_sysroot_linux-64_curr_repodata_hack-3-ha9d2b57_9.tar.bz2”h+Œ ab5523646e615755160390034107212f”h.Œghttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-ha9d2b57_9.tar.bz2”h0Œ@f44ee275f01b3049e2702ce0350e3bfe246525e625c257a58e573404c28c7673”h2NhNh3)h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×Ç$;¥ãhEMThFˆubh)”}”(hŒ	r-lassopv”h#Œ0.2.0”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ(r-lassopv-0.2.0-r41hc72bb7e_1002.tar.bz2”h+Œ 8be2b0cef91103686d535f4ebc8b7822”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-lassopv-0.2.0-r41hc72bb7e_1002.tar.bz2”h0Œ@d2c694dabab86c461df9f2d9a32a24f02d61362b8127753ae7875b13aa4a6cfa”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lars”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+#JJhEMÇ„hFˆubh)”}”(hŒgtk2-devel-cos7-ppc64le”h#Œ2.24.31”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5gtk2-devel-cos7-ppc64le-2.24.31-h9d98e8f_1104.tar.bz2”h+Œ fd6f6f813ea3091ff0dabbc8bb6e28dd”h.Œchttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos7-ppc64le-2.24.31-h9d98e8f_1104.tar.bz2”h0Œ@f3f9d28b084720a06c5237060b52054c6d602a38bd3129ef460157fff03687c6”h2NhNh3(Œ&atk-devel-cos7-ppc64le >=1.29.4 *_1104”Œ'cairo-devel-cos7-ppc64le >=1.6.0 *_1104”Œ(glib2-devel-cos7-ppc64le >=2.28.0 *_1104”Œ"gtk2-cos7-ppc64le ==2.24.31 *_1104”Œ(pango-devel-cos7-ppc64le >=1.20.0 *_1104”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉÁ´jhEJ76 hFˆubh)”}”(hŒlibsoup-cos6-x86_64”h#Œ2.34.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libsoup-cos6-x86_64-2.34.3-h9b0a68f_1105.tar.bz2”h+Œ e6ef2dd11ae26c0f668a67e58450c6a4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsoup-cos6-x86_64-2.34.3-h9b0a68f_1105.tar.bz2”h0Œ@bb86a66606d665f888897c06c508806ad71a4cca1e26bfffca9bcd5e82c6a9f2”h2NhNh3Œ,glib-networking-cos6-x86_64 >=2.27.90 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@YÓã¶FhEJ„ hFˆubh)”}”(hŒzfit”h#Œ0.5.2”h%Œpy_0”h'K hhh(h)hŒzfit-0.5.2-py_0.tar.bz2”h+Œ 7579a8ac912b88b184b2708c1cf8451c”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/zfit-0.5.2-py_0.tar.bz2”h0Œ@95c6821f43d634443a42a4478b3ec3adcca0bb3335abde4d6104091ba28b4b65”h2NhNh3(Œcloudpickle >=0.6.1”Œcolorama”Œcolored”Œcolorlog”Œ	decorator”Œiminuit”Œnumdifftools”Œnumpy”Œordered-set”Œpandas”Œpython >=3.6,<3.8”Œscipy >=1.2”Œtabulate”Œtensorflow-base >=2.1.0”Œtensorflow-probability >=0.8.0”Œ	texttable”Œuproot”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¯f›¦hEJ hFˆubh)”}”(hŒlibx11-cos7-aarch64”h#Œ1.6.7”h%Œha826a6f_103”h'Kghhh(h)hŒ.libx11-cos7-aarch64-1.6.7-ha826a6f_103.tar.bz2”h+Œ 282b3e9d858fd4b1214bae9e0089d72f”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libx11-cos7-aarch64-1.6.7-ha826a6f_103.tar.bz2”h0Œ@20d4db352d6b2efd0708992d6b0097774160ec15356332fdcd11f2bfad085e23”h2NhNh3Œ(libx11-common-cos7-aarch64 >=1.6.7 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/êš-hEJ©O hFˆubh)”}”(hŒcloudant”h#Œ2.15.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$cloudant-2.15.0-pyhd8ed1ab_0.tar.bz2”h+Œ 73775641c1a595f5d038b168242d59dc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/cloudant-2.15.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8b92ef9c2060d50f620336c053830a1f9a11ce72594a3afe20334bfa0abbf81b”h2NhNh3Œpython >=3.6”Œrequests >=2.7.0,<3.0.0”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØIè{>¸RhEMéàhFˆubh)”}”(hŒ	r-betareg”h#Œ3.1_4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ%r-betareg-3.1_4-r36hc72bb7e_0.tar.bz2”h+Œ a9a2b9176a449fcd4a0204a6c394e4ae”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-betareg-3.1_4-r36hc72bb7e_0.tar.bz2”h0Œ@d437633712e909f6fac8982551822064d8ff6c36619f299b118c4ca54c8e85d2”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-flexmix”Œ	r-formula”Œr-lmtest”Œr-modeltools”Œ
r-sandwich”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ½|îhEJ6 hFˆubh)”}”(hŒsystemd-libs-cos7-x86_64”h#Œ219”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2systemd-libs-cos7-x86_64-219-h9b0a68f_1105.tar.bz2”h+Œ f1e1337c212b2c6d191f5d5f8c8ba67d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/systemd-libs-cos7-x86_64-219-h9b0a68f_1105.tar.bz2”h0Œ@c737d4dad4180d62df2acfaf9edfb9d0d0a9f122b8c6955a04807f5cece3d2d5”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and MIT”hBŒLGPL”hDGAØ@hâÐ  hEJi hFˆubh)”}”(hŒr-clisymbols”h#Œ1.2.0”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ+r-clisymbols-1.2.0-r42hc72bb7e_1004.tar.bz2”h+Œ a12416ab3a2a4e3f6e944460f15f17ff”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-clisymbols-1.2.0-r42hc72bb7e_1004.tar.bz2”h0Œ@4aab98a35aca40de4ee4bc28e686f1523531118c5bcfbc44d6a7e4c225464773”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ)&—hEMOghFˆubh)”}”(hŒr-config”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-config-0.3.1-r41hc72bb7e_0.tar.bz2”h+Œ 6cccae905ab34cfea870e5986e5e0141”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-config-0.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@cb97f0b645884f89bf6dfb0cefb00a9f9707626f612b5a1d7755b24e39cbf454”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-yaml >=2.1.13”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*Ý¥  hEJäz hFˆubh)”}”(hŒ
r-heatmap3”h#Œ1.1.9”h%Œr40ha770c72_0”h'K hhh(h)hŒ&r-heatmap3-1.1.9-r40ha770c72_0.tar.bz2”h+Œ 89a4eb4c98a361df3dd1cd41c1a2b077”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-heatmap3-1.1.9-r40ha770c72_0.tar.bz2”h0Œ@fe4c1670e94d21bd2369b68e582e4ff7c58694dd9fc27a7e813c309582dececb”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-fastcluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ýfÿ&éhEJg hFˆubh)”}”(hŒrb-colorator”h#Œ1.1.0”h%Œ
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r-rspectra”†”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×L7ÊÙ‡hEM
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hd8ed1ab_1”h'Khhh(h)hŒ'font-ttf-dejavu-2.37-hd8ed1ab_1.tar.bz2”h+Œ 4ecf455d267726fb1e27b1e1365337e8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-2.37-hd8ed1ab_1.tar.bz2”h0Œ@d4f939d9559104e07de895eec70df7e6a891ec135412a7cd2083242eb4fc4d11”h2NhNh3)h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ‰Ë8pbNhEJá|O hFˆubh)”}”(hŒexpat-cos7-ppc64le”h#Œ2.1.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-expat-cos7-ppc64le-2.1.0-h9d98e8f_104.tar.bz2”h+Œ 53d2de740155e052b0fbaed88b258573”h.Œ[https://conda.anaconda.org/conda-forge/noarch/expat-cos7-ppc64le-2.1.0-h9d98e8f_104.tar.bz2”h0Œ@6a6df016396f9996e7668b2c1a52861f21de7f553f687f6dfc524979fdde6bed”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyÄU`BhEJÒ` hFˆubh)”}”(hŒr-pack”h#Œ0.1_1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ%r-pack-0.1_1-r42hc72bb7e_1004.tar.bz2”h+Œ 3055694225519df92f85b05dc2b24e35”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pack-0.1_1-r42hc72bb7e_1004.tar.bz2”h0Œ@121b629ad8ea3b801e56973bd7d52c1928f19be12d00b3394ec0e4d16b35bff7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ>W ÅhEM<±hFˆubh)”}”(hŒglib2-cos7-aarch64”h#Œ2.56.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.glib2-cos7-aarch64-2.56.1-hdf0574f_102.tar.bz2”h+Œ 7fe3c22e8d8a9c18536d21c222c852cf”h.Œ\https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-aarch64-2.56.1-hdf0574f_102.tar.bz2”h0Œ@d5cebd5ab1798460cb4a3db37a1fb8dafec089151ab6c15c80b60cc6dfc7a7c6”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi(1hEJ&Ó- hFˆubh)”}”(hŒr-sparsepca”h#Œ0.1.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-sparsepca-0.1.2-r35h6115d3f_0.tar.bz2”h+Œ e825dcb6db793b3b6a94d3369e1512ee”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepca-0.1.2-r35h6115d3f_0.tar.bz2”h0Œ@4e4a0a7e4deb304fce6d3ddc3563c41d17ff67173afc16f60a04f3b9537a5352”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rsvd”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯f~éyhEJ hFˆubh)”}”(hŒr-slim”h#Œ0.1.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ%r-slim-0.1.1-r40h6115d3f_1002.tar.bz2”h+Œ 4ae0eead4a5583b7de5b059c5bceaf65”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-slim-0.1.1-r40h6115d3f_1002.tar.bz2”h0Œ@3f9d58adb19d0bf395d7cffad3b205fc461319a2deb38687c843a85ca1681b1b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table >=1.9.6”Œr-mass >=7.3”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬:ËM‘hhEJËR hFˆubh)”}”(hŒlibibverbs-devel-cos6-x86_64”h#Œ1.1.8”h%Œh1795305_101”h'Kehhh(h)hŒ7libibverbs-devel-cos6-x86_64-1.1.8-h1795305_101.tar.bz2”h+Œ d5c665123d74dcaedcfdcd365b6e7209”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libibverbs-devel-cos6-x86_64-1.1.8-h1795305_101.tar.bz2”h0Œ@41f8e8ce9d31847d23c47ed2cd3d5796300330d0d096802f9ea3e737dbf7524e”h2NhNh3Œlibibverbs-cos6-x86_64 1.1.8”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÄÇžB¬hEJ´ hFˆubh)”}”(hŒtb3py”h#Œ	2021.7.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$tb3py-2021.7.11-pyhd8ed1ab_0.tar.bz2”h+Œ aabccf2223b5fed202815334ba86074b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/tb3py-2021.7.11-pyhd8ed1ab_0.tar.bz2”h0Œ@8a928e648e38b61b73fded8586837cb5f447d4954d2c2d8a786030ae75aa3c68”h2NhNh3(Œjarvis-tools”Œjulia >=0.5.6”Œnumpy >=1.19.5”Œpytest”Œpython >=3.6”Œrequests >=2.26.0”t”h9h?h@ŒNIST-PD”hDGAØc¶+Æ¨hEM='hFˆubh)”}”(hŒr-emld”h#Œ0.5.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-emld-0.5.1-r40hc72bb7e_0.tar.bz2”h+Œ a4a82cbbb7508d257f3079c780bed43e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-emld-0.5.1-r40hc72bb7e_0.tar.bz2”h0Œ@7c3bb0040a196c08251c47588d9355a279a5e6972283292575d3a011e2c44bee”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-jsonld”Œ
r-jsonlite”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ö-¢JhEJ hFˆubh)”}”(hŒde-interpol”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&de-interpol-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3a080fef3506d9455b588daecb8d9477”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/de-interpol-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d34507e88fc6b7022751a143da4a8e6ee82a16bbff109d30d183c6969759fd74”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œurllib3 >=1.25.3”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÊÓ]ëdZhEM²ÂhFˆubh)”}”(hŒr-funr”h#Œ0.3.2”h%Œr36_1002”h'Mêhhh(h)hŒr-funr-0.3.2-r36_1002.tar.bz2”h+Œ 6a659ab698636f51686ea1ea6a523923”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-funr-0.3.2-r36_1002.tar.bz2”h0Œ@92ea4ea0b91137bbc22d3560f983ed26f4746dc9290f2c51674a8f4547c8c58a”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬Í<
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GPL (>= 2)”hBŒGPL3”hDGA×C˜ÑhshEJÔ hFˆubh)”}”(hŒr-assertive.numbers”h#Œ0.0_2”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ2r-assertive.numbers-0.0_2-r36h6115d3f_1003.tar.bz2”h+Œ 2888f3820840e8a2197889f014142024”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.numbers-0.0_2-r36h6115d3f_1003.tar.bz2”h0Œ@664b82304b564681ec39a461cfcb72d66da94b8eee5d1da064d5c2bab87df424”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.6,<3.7.0a0”†”h9hºh@Œ
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cssselect2”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒcssselect2-0.2.1-py_0.tar.bz2”h+Œ a33984103c7a913066febcfa14f851d9”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/cssselect2-0.2.1-py_0.tar.bz2”h0Œ@1f5362273e22bfce7de4fbf835720142286c515e9b7c4f789863966af0e7eae1”h2NhNh3Œpython”Œtinycss2”†”h9h?h@ŒBSD”hBŒBSD”hDGAÖÃ­7·¾whEMœmhFˆubh)”}”(hŒr-bsda”h#Œ1.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-bsda-1.2.1-r40hc72bb7e_0.tar.bz2”h+Œ 17944d9d7608c75409ae4bcb106b9f39”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bsda-1.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@f46da369db9b92faed017439b8eea73b2048e7cf6c1c98cee868f4d7a03faa64”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-e1071”Œ	r-lattice”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØMÜˆ£×hEJÖ¶ hFˆubh)”}”(hŒlibibverbs-cos7-aarch64”h#Œ22.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libibverbs-cos7-aarch64-22.4-h9b0a68f_1105.tar.bz2”h+Œ d63cabc9900432aab176c7585beb8d92”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-aarch64-22.4-h9b0a68f_1105.tar.bz2”h0Œ@c42072d1fc2d8458edd9ba3afee97bfd9ea12e0c63336cc816ac5bccf651c0de”h2NhNh3Œ$rdma-core-cos7-aarch64 ==22.4 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@Žsè1'hEJ½Y hFˆubh)”}”(hŒpyrayt”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pyrayt-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 90f03ec509c7fdffd3ecf6909cc6d653”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyrayt-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@366cfc8cbd6e2473e2ddc2e65b099a649cf1b1fc898ae131c71a423f875dcafd”h2NhNh3(Œmatplotlib-base >=3.3.4”Œnumpy >=1.20.0”Œpandas >=1.2.2”Œpython >=3.6,<3.9”Œscipy >=1.6.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØSx€£×hEMj‰hFˆubh)”}”(hŒdill”h#Œ0.3.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒdill-0.3.2-pyh9f0ad1d_0.tar.bz2”h+Œ c530ccf68b59b4184e5d26dc84848ea0”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/dill-0.3.2-pyh9f0ad1d_0.tar.bz2”h0Œ@60e997abbbe195c6dc2be54d8756713405722adc0c803cf407ddbaa4f2106456”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×º3óþffhEM„íhFˆubh)”}”(hŒr-enrichwith”h#Œ0.3.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-enrichwith-0.3.1-r40hc72bb7e_1.tar.bz2”h+Œ 870b5f547d9324f24b2ef4f2e74e65ca”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-enrichwith-0.3.1-r40hc72bb7e_1.tar.bz2”h0Œ@bf02fdfdea52529023cd47f12fdae902cb000ff5c7a33e0ad6868e0ab902d1e6”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ+áÛ#hEJŽ½ hFˆubh)”}”(hŒfont-ttf-noto-cjk”h#Œ2.004”h%Œ
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hFˆubh)”}”(hŒnapari-timeseries-opener-plugin”h#Œ0.1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:napari-timeseries-opener-plugin-0.1.8-pyhd8ed1ab_0.tar.bz2”h+Œ 6e3a23e96500928abfaa6e8245d20732”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/napari-timeseries-opener-plugin-0.1.8-pyhd8ed1ab_0.tar.bz2”h0Œ@ddfef8dc1ea405235a3c2b1093bbe030a5be811c66b7a2031e7c3670bb9e3621”h2NhNh3(Œcsbdeep”Œmagicgui”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”Œqtpy”Œstardist”Œtifffile”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕsZƒhEMã(hFˆubh)”}”(hŒpixman-devel-cos7-ppc64le”h#Œ0.34.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5pixman-devel-cos7-ppc64le-0.34.0-h9b0a68f_105.tar.bz2”h+Œ 31f464d6548fb36844f387a40ab40636”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pixman-devel-cos7-ppc64le-0.34.0-h9b0a68f_105.tar.bz2”h0Œ@e4c86f6d9a3405b1a41a5bbbcc72328877d31abcdfcd4896e29555cc4c98ba83”h2NhNh3Œ"pixman-cos7-ppc64le ==0.34.0 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‰¬þ$ÝhEM–7hFˆubh)”}”(hŒpango-cos7-ppc64le”h#Œ1.42.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/pango-cos7-ppc64le-1.42.4-hdf0574f_1102.tar.bz2”h+Œ d73f0dac8774534de459fdc072765f22”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pango-cos7-ppc64le-1.42.4-hdf0574f_1102.tar.bz2”h0Œ@43e7060f781b52b2c413cccbe2e95141819c7831995f7f45aa9bd46ef44000b2”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi°!hEJZy hFˆubh)”}”(hŒr-survmetrics”h#Œ0.5.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-survmetrics-0.5.0-r42hc72bb7e_1.tar.bz2”h+Œ 0f464b16948e7d86cc5e6290a18a7a32”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survmetrics-0.5.0-r42hc72bb7e_1.tar.bz2”h0Œ@29a9be6b517f3c93b30a8888fd496aaad0ee4010935af2a66962e71ed0270cd1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-pec”Œr-randomforestsrc”Œ
r-survival”Œr-survminer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓ‰+bÀƒhEJÊØ hFˆubh)”}”(hŒ
r-threeway”h#Œ1.1.3”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ*r-threeway-1.1.3-r351h6115d3f_1000.tar.bz2”h+Œ 19a9d55c039238ada8906476e210e353”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-threeway-1.1.3-r351h6115d3f_1000.tar.bz2”h0Œ@e820d6433dae258f1bbf6e6e669682223a996963d2e7524c768ea845d4d6b1a8”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×GzxÕhEJÆ hFˆubh)”}”(hŒmbuild”h#Œ0.15.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"mbuild-0.15.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4bec9dd4e3a2b62cfe546b448d24266d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mbuild-0.15.1-pyhd8ed1ab_0.tar.bz2”h0Œ@08155fc105069757e8200fe474c078789714d80da6f8a0f862498d6b815eef38”h2NhNh3(Œele”Œmdtraj”Œnumpy”Œpackmol”Œparmed >=3.4.0”Œprotobuf”Œpython >=3.7”Œrdkit >=2021”Œscipy”t”h6Œfoyer >=0.11.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÁb1'hEJ(· hFˆube(h)”}”(hŒr-xmlparsedata”h#Œ1.0.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-xmlparsedata-1.0.5-r40hc72bb7e_0.tar.bz2”h+Œ 971fd669b3ceb476cb3136ab226a7c06”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-xmlparsedata-1.0.5-r40hc72bb7e_0.tar.bz2”h0Œ@f974d6e106fd7051807736b5d86767df85028ea747a259185a90c87e322972ee”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØßŠ=qhEM)fhFˆubh)”}”(hŒlibx11-devel-cos7-aarch64”h#Œ1.6.7”h%Œha826a6f_103”h'Kghhh(h)hŒ4libx11-devel-cos7-aarch64-1.6.7-ha826a6f_103.tar.bz2”h+Œ fb13408589235aef824311ce7187081c”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-aarch64-1.6.7-ha826a6f_103.tar.bz2”h0Œ@135ba3d02c4db21182765754724001bab8e81e091841d3679210d3cc8a2015a1”h2NhNh3Œ!libx11-cos7-aarch64 ==1.6.7 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1‹ñ‡hEJè< hFˆubh)”}”(hŒ
r-varselrf”h#Œ0.7_8”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ)r-varselrf-0.7_8-r36h6115d3f_1002.tar.bz2”h+Œ 3c5c408c36008b5da3d76e212787f2ff”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varselrf-0.7_8-r36h6115d3f_1002.tar.bz2”h0Œ@d2983d7a5af32fffe3179d3c4ecde0a97b9769e00ba80070883a506cfe19e102”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-randomforest”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬Iœç;dhEJFï hFˆubh)”}”(hŒr-smotefamily”h#Œ1.3.1”h%Œr35h6115d3f_2”h'Khhh(h)hŒ)r-smotefamily-1.3.1-r35h6115d3f_2.tar.bz2”h+Œ f57d39c96eeac0a91c0549ed722be26a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-smotefamily-1.3.1-r35h6115d3f_2.tar.bz2”h0Œ@9bf24cb1c6a0343994f04a26d69a996fc2d7661660ed3f53490943a4d6588825”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-dbscan”Œr-fnn”Œr-igraph”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LYbqÛ#hEJüƒ hFˆubh)”}”(hŒrply”h#Œ0.7.7”h%Œpy_0”h'K hhh(h)hŒrply-0.7.7-py_0.tar.bz2”h+Œ 1426e7b25b1b9f2dbb77ba6aaf18fe53”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/rply-0.7.7-py_0.tar.bz2”h0Œ@af63d53806c7ec3889c8a0677c5b67d992a0ed29113a6cc884d932c98baac143”h2NhNh3Œappdirs”Œpython”†”h9h?h@ŒBSD”hDGA×3†³hEMe@hFˆubh)”}”(hŒrlp”h#Œ3.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒrlp-3.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ f85fb21f6a43a7a0df5514b0007a5896”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/rlp-3.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@806d285915a6cd743d333bc49ec9ffd367613f8ee84d6c7203945ef418230e60”h2NhNh3Œeth-utils >=2.0.0,<3”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØmBÅ1hshEMOhFˆubh)”}”(hŒr-pkgconfig”h#Œ2.0.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ'r-pkgconfig-2.0.3-r41hc72bb7e_2.tar.bz2”h+Œ fceb80e453285589b08efe53174ebe22”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pkgconfig-2.0.3-r41hc72bb7e_2.tar.bz2”h0Œ@73cea1b810690932495dc9ba057336f1360bc2947bd929019226e015e737215b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ&nžE¢hEM÷fhFˆubh)”}”(hŒr-skynet”h#Œ1.4.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-skynet-1.4.3-r40hc72bb7e_0.tar.bz2”h+Œ 75ad3388068c96bb81546d353c2cb399”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-skynet-1.4.3-r40hc72bb7e_0.tar.bz2”h0Œ@b84d9d21db4edab1d2addb9baee19ac86cd128a21e50470bc392939af0a0bdf3”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œ	r-ggrepel”Œr-httr”Œr-igraph”Œ	r-leaflet”Œr-maps”Œr-rcurl”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ«68á‰7hEJ` hFˆubh)”}”(hŒicon_font_to_png”h#Œ0.4.1”h%Œpyh44b312d_0”h'K hhh(h)hŒ+icon_font_to_png-0.4.1-pyh44b312d_0.tar.bz2”h+Œ 84c5c8c5ade5fe7670e82d4f5b9223a9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/icon_font_to_png-0.4.1-pyh44b312d_0.tar.bz2”h0Œ@cf288e5ab380815a7bb43cd5e23b06f9fc5b8fd072e1d37aa0047addb99d29ef”h2NhNh3(Œpillow >=4.0.0”Œpython >=3.6”Œrequests >=2.12.5”Œsix >=1.10.0”Œtinycss >=0.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ}‚§+hEJ´v hFˆubh)”}”(hŒgmpyinfr_dbutils”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+gmpyinfr_dbutils-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 476c1b3f46ab7d39cf90488a40e0f382”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/gmpyinfr_dbutils-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@3baa6feeb9aac587994564490ed3f7f6311c26d24e503b2ab7eee638e18a54f8”h2NhNh3(Œpandas >=1.0.0”Œpyarrow >=3.0.0”Œpybind11 >=2.2.0”Œpython >=3.6”Œturbodbc 4.1.2”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØpbNhEMÕ_hFˆubh)”}”(hŒnapari-ccp4map”h#Œ1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'napari-ccp4map-1.0-pyhd8ed1ab_0.tar.bz2”h+Œ c2b46a45b19f9bf29ea796df36f0d70f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/napari-ccp4map-1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7332341fa8b313f7351d550c12b3562142ed0a36ccd1c24469be02f98e128237”h2NhNh3(Œgemmi”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~<ùÊÁhEMz"hFˆubh)”}”(hŒr-svgpanzoom”h#Œ0.3.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-svgpanzoom-0.3.4-r42hc72bb7e_1.tar.bz2”h+Œ cdcf22d1fd216ab15b65a7bbf5f4088b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-svgpanzoom-0.3.4-r42hc72bb7e_1.tar.bz2”h0Œ@753f7853604344e7d73ef1ac071d56420f18099b362a89e3ff69a0430f97b04f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-htmlwidgets >=0.3.2”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑþ„¬hEMëhFˆubh)”}”(hŒdjango-test-plus”h#Œ1.0.22”h%Œpy_0”h'K hhh(h)hŒ$django-test-plus-1.0.22-py_0.tar.bz2”h+Œ c86dc31748a30b6b34abf3345ab50302”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/django-test-plus-1.0.22-py_0.tar.bz2”h0Œ@11f4e64f0952eaa8dbbfee55b1acd08dae4fd56a9912c82f1920e6570e700a8b”h2NhNh3Œdjango >=1.8”Œfactory_boy >=2.5.2”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEMÑ8hFˆubh)”}”(hŒr-bioset”h#Œ0.2.3”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ$r-bioset-0.2.3-r40hc72bb7e_2.tar.bz2”h+Œ e45e5913b6bb0e4906862c6587353138”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bioset-0.2.3-r40hc72bb7e_2.tar.bz2”h0Œ@16b921fe6063fd0469ddf039763560caca71d95f77bb7df1cc8abda06610cb8d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.7.4”Œr-magrittr >=1.5”Œr-rlang >=0.1.2”Œr-tibble >=1.3.4”Œr-tidyr >=0.7.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ €ìjhEJI“ hFˆubh)”}”(hŒr-pmcmr”h#Œ4.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-pmcmr-4.4-r42hc72bb7e_1.tar.bz2”h+Œ 8f69e94acf8ca4ab44b2f4601a207229”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pmcmr-4.4-r42hc72bb7e_1.tar.bz2”h0Œ@7621fd992867565e9528012a0c8b71df4767ca7108bd3f587356f004495147a4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÐ÷>™7LhEJk hFˆubh)”}”(hŒj2cli”h#Œ0.3.10”h%Œpy_0”h'K hhh(h)hŒj2cli-0.3.10-py_0.tar.bz2”h+Œ 721442e1cb13dddc8212a6f8c8b85988”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/j2cli-0.3.10-py_0.tar.bz2”h0Œ@df0b8720a54ebb50105df4e24c452ea4030f0291aa8aea364110207d48f275f4”h2NhNh3Œjinja2”Œpython”Œyaml”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×–
'|îhEM+hFˆubh)”}”(hŒ
gwtrigfind”h#Œ0.8.0”h%Œpy_0”h'K hhh(h)hŒgwtrigfind-0.8.0-py_0.tar.bz2”h+Œ dd884c3352e46217b64b43124ec63031”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/gwtrigfind-0.8.0-py_0.tar.bz2”h0Œ@ce3b046bda93510ed564263caf926fe1fb79068cf9e0a657525c89f58a359396”h2NhNh3Œastropy”Œligo-segments >=1.0.0”Œpython”‡”h9h?h@ŒGPLv3”hBŒGPL”hDGA×Ðx¸ ÅhEMihFˆubh)”}”(hŒr-rstantools”h#Œ1.5.1”h%Œ	r351_2000”h'MÐhhh(h)hŒ$r-rstantools-1.5.1-r351_2000.tar.bz2”h+Œ 685c1cbcc321c4a455fcf3d1e3f8033c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rstantools-1.5.1-r351_2000.tar.bz2”h0Œ@a8efdd73773139d493a5d1e5ad66938ac8a0d77164818479937c778356ef931a”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖü"xÁ%hEJEÖ hFˆubh)”}”(hŒgplearn”h#Œ0.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"gplearn-0.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 2220f646aaf7909823b53ea893076596”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/gplearn-0.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e0cc3f9b284d7f5e87c301a17efcdaef186497078b6e4f351c6680d5b2033003”h2NhNh3Œjoblib >=1.0.0”Œpython >=3.8”Œscikit-learn >=1.0.2”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœœ3¼jhEM¬ehFˆubh)”}”(hŒ
edn_format”h#Œ0.7.5”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ%edn_format-0.7.5-pyhd3deb0d_0.tar.bz2”h+Œ f7147a79aba9c8f5fed7f51d6ebdafef”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/edn_format-0.7.5-pyhd3deb0d_0.tar.bz2”h0Œ@4bab147c699e6a74bd8eb95fe22706fe427437e601cf524bc76a0bce6b944143”h2NhNh3(Œpip”Œ
ply >=3.10”Œpyrfc3339 >=0.2”Œpython”Œpytz >=2016.10”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ëÅ‹SøhEMS8hFˆubh)”}”(hŒr-assertive.data.us”h#Œ0.0_2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ/r-assertive.data.us-0.0_2-r36h6115d3f_2.tar.bz2”h+Œ 1dd759853faa19e127c86a7fd7a0342d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.us-0.0_2-r36h6115d3f_2.tar.bz2”h0Œ@91c10be7817925ddff9d31b01d83f3dccf0db45d56611724dfcdd1ef1ed3dede”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=3.6,<3.7.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«ýîBáHhEMø¨hFˆubh)”}”(hŒr-trimcluster”h#Œ0.1_5”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-trimcluster-0.1_5-r35h6115d3f_0.tar.bz2”h+Œ 0f0b8e7dcbf273bfbb39bd76f5066e8c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-trimcluster-0.1_5-r35h6115d3f_0.tar.bz2”h0Œ@3bb7aad7b1aea862fe993f2c217a8b9a136d4b49472d4fdd8adb06eadc6bf2e1”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×5ÁXhEMhFˆubh)”}”(hŒlibxxf86vm-devel-cos6-x86_64”h#Œ1.1.3”h%Œh1795305_101”h'Kehhh(h)hŒ7libxxf86vm-devel-cos6-x86_64-1.1.3-h1795305_101.tar.bz2”h+Œ 11f2aacbe837fe2b9c780b293c664776”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos6-x86_64-1.1.3-h1795305_101.tar.bz2”h0Œ@c29ce09541fadaec11db91f57d93c785d912aa6fd26dc4b6f9437cd11f96d8d6”h2NhNh3Œlibxxf86vm-cos6-x86_64 1.1.3”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&#ÄœhEMh-hFˆubh)”}”(hŒ	depfinder”h#Œ2.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$depfinder-2.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ a3d6eeb10b85c5065cd459580129c6e3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/depfinder-2.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b18b40fd4766dbdbfb157ed251c498c3cb4a801e67c15a66c08b673f8acb6a86”h2NhNh3(Œpython >=3.6,<3.10”Œpyyaml”Œrequests”Œstdlib-list”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¶{L†5?hEJ?" hFˆubh)”}”(hŒadf2dms”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"adf2dms-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ e7985946874df6c4418dd8db825fb076”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/adf2dms-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@50e1dbbf3dc74668861c0a06c00e6166cf89b4fec8849fa39d94dea3d265459c”h2NhNh3Œcrccheck”Œpython >=3.9”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ·þÎÈ´hEM=-hFˆubh)”}”(hŒr-hash”h#Œ3.0.1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ"r-hash-3.0.1-r36h6115d3f_2.tar.bz2”h+Œ 09f9bc7ebfe1b1d2aab206e14af586f9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hash-3.0.1-r36h6115d3f_2.tar.bz2”h0Œ@244d609c1307c044d3f7a65e17da1cbdcdf1b5464f5fd956abb902436b6d6ed9”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
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setuptools”t”h9h?h@ŒLGPL 3.0”hBŒLGPL”hDGA×7Üçþ¸RhEMÅvhFˆubh)”}”(hŒintelhex”h#Œ2.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#intelhex-2.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8a850c273f8d7950635350f5ee6758e6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/intelhex-2.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@048572d53a810a5b2b77b2a99e55d7c0e1ada7ce93a36d26c442d274bd927faa”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‘Qs{hEM>ŽhFˆubh)”}”(hŒfreetype-devel-cos7-ppc64le”h#Œ2.8”h%Œha826a6f_103”h'Kghhh(h)hŒ4freetype-devel-cos7-ppc64le-2.8-ha826a6f_103.tar.bz2”h+Œ 158de5306f75666dc0a4da20082cf2ef”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos7-ppc64le-2.8-ha826a6f_103.tar.bz2”h0Œ@b6123757228a638f51679df4ed70363e57d31402842bf201900415da3506780c”h2NhNh3Œ!freetype-cos7-ppc64le ==2.8 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×Æ/ùÙ‡hEJ›S hFˆubh)”}”(hŒ	coveralls”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"coveralls-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 166cc72fabe3e5de4c49cf498b0f87a1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/coveralls-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f4286c3b1f70a0554e2a0f4c7ec795475de90d7dfb6da17983b775f232b7f0d8”h2NhNh3(Œcoverage >=3.6,<5.0”Œdocopt >=0.6.1”Œpython >=3.5”Œrequests >=1.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØºrÆCC–hEMö;hFˆubh)”}”(hŒmapboxgl”h#Œ0.10.2”h%Œpy_1”h'Khhh(h)hŒmapboxgl-0.10.2-py_1.tar.bz2”h+Œ 0bd2112d51bcb7b3a015ba3726bd529b”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/mapboxgl-0.10.2-py_1.tar.bz2”h0Œ@f779665ebe3c48ec3a8a1be24657343a69bf732e85f7231c55ae157e921b912e”h2NhNh3(Œ	chroma-py”Œcolour”Œgeojson”Œipython”Œjinja2”Œmatplotlib-base”Œpython”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGA×’PÅ`BhEMˆQhFˆubh)”}”(hŒlibice-cos7-aarch64”h#Œ1.0.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libice-cos7-aarch64-1.0.9-ha826a6f_1103.tar.bz2”h+Œ a32bd21a5e68a9a9ad5c8109bd594dcd”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libice-cos7-aarch64-1.0.9-ha826a6f_1103.tar.bz2”h0Œ@805fc1ce2a6eea177f66af83437fe67cea1fc8e749a5e8066a3d0bae98a83d22”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{$ž$ÝhEMmÿhFˆubh)”}”(hŒpciutils-cos6-x86_64”h#Œ3.1.10”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1pciutils-cos6-x86_64-3.1.10-h9b0a68f_1105.tar.bz2”h+Œ 3a958925e3f8d2e0c7288cc8c8088783”h.Œ_https://conda.anaconda.org/conda-forge/noarch/pciutils-cos6-x86_64-3.1.10-h9b0a68f_1105.tar.bz2”h0Œ@66d3c95d762663a8cca0bd686c4820504c895a8208bd6e555cdb77cc0c976068”h2NhNh3Œ)pciutils-libs-cos6-x86_64 ==3.1.10 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@Z!ÁXhEJE hFˆubh)”}”(hŒlibglvnd-cos7-x86_64”h#Œ1.0.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libglvnd-cos7-x86_64-1.0.1-ha826a6f_1103.tar.bz2”h+Œ 64fbb348aac94ac4580cd931eccfd2dd”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libglvnd-cos7-x86_64-1.0.1-ha826a6f_1103.tar.bz2”h0Œ@41333a07a3e81e95733dab7e078a2e0023998fa67a430c376911c5a526b2d218”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/œ9XhEJÎ hFˆubh)”}”(hŒlibxau-devel-cos6-x86_64”h#Œ1.0.6”h%Œha826a6f_103”h'Kghhh(h)hŒ3libxau-devel-cos6-x86_64-1.0.6-ha826a6f_103.tar.bz2”h+Œ ba5e7699a11a70f57cd22a43089a5422”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos6-x86_64-1.0.6-ha826a6f_103.tar.bz2”h0Œ@f921a704f8316c57519db8e4d0b64bf2ad2c01cf8a8db9ecd2b07f4b63186432”h2NhNh3Œ libxau-cos6-x86_64 ==1.0.6 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ07ðÔþhEMV&hFˆubh)”}”(hŒacpype”h#Œ	2022.7.21”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%acpype-2022.7.21-pyhd8ed1ab_0.tar.bz2”h+Œ e6f54fb5bdd6890b87822ca74dc2d4ca”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/acpype-2022.7.21-pyhd8ed1ab_0.tar.bz2”h0Œ@7d6363e0bd74ab4672d4cc6b908d37a4c7dd4e674daa7f0d921afa05d2fe5cdb”h2NhNh3(Œ
ambertools”Œmatplotlib-base”Œnumpy”Œ	openbabel”Œparmed”Œ
python >=3”Œscipy”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¶^Ä­p¤hEJC£N hFˆubh)”}”(hŒlibrdmacm-devel-cos6-x86_64”h#Œ1.0.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7librdmacm-devel-cos6-x86_64-1.0.21-h9b0a68f_105.tar.bz2”h+Œ aacb99bf8317455cabf6ffec40ab0ff0”h.Œehttps://conda.anaconda.org/conda-forge/noarch/librdmacm-devel-cos6-x86_64-1.0.21-h9b0a68f_105.tar.bz2”h0Œ@133bd7f75ffee25a9c25739bea3492108d83f5e3b93d6c264adf4daa65011b9c”h2NhNh3Œ$librdmacm-cos6-x86_64 ==1.0.21 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@Wa`bNhEJ" hFˆubh)”}”(hŒlibxrandr-cos6-x86_64”h#Œ1.5.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libxrandr-cos6-x86_64-1.5.1-h9d98e8f_104.tar.bz2”h+Œ e752765d47e16981a08b225dd52cd489”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos6-x86_64-1.5.1-h9d98e8f_104.tar.bz2”h0Œ@a8550108b61ed55e55d7b3a17ef7cd762a09eb45a44e68050b37ab6e300c27a4”h2NhNh3Œ libx11-cos6-x86_64 >=1.6.0 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|rŸ¾hEMLVhFˆubh)”}”(hŒr-nada”h#Œ1.6_1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-nada-1.6_1.1-r36h6115d3f_1.tar.bz2”h+Œ ccdf9696c6a720ee3da15a3379cfd6f4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nada-1.6_1.1-r36h6115d3f_1.tar.bz2”h0Œ@a8813a6bd64be3f30376d840e237964e8fda94ff8b13c3f8ea65a98b0fac206f”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-survival”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«èVr°hEJÎ„ hFˆubh)”}”(hŒ
expecttest”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%expecttest-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 5bf087222e1b730a636039da3641f6ce”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/expecttest-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@b85842364dd14bba74bc12c33bbc0dabecfa599b25dad98e6fb86cc3d3fe2fec”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÓ•î·ïžhEMu,hFˆubh)”}”(hŒ
r-mlr3data”h#Œ0.6.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-mlr3data-0.6.1-r42hc72bb7e_1.tar.bz2”h+Œ 4a48162f5f091bd13ad6c4a4c3351b47”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mlr3data-0.6.1-r42hc72bb7e_1.tar.bz2”h0Œ@7e4ae4ce4f1ca85579e57ec38f25d81831fb348081536f80c3332a66ba66e5cb”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÑœ&éyhEJ±D hFˆubh)”}”(hŒr-demerelate”h#Œ0.9_3”h%Œr36_1003”h'Mëhhh(h)hŒ#r-demerelate-0.9_3-r36_1003.tar.bz2”h+Œ d7ae1659355b6c96294176c4441fe636”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-demerelate-0.9_3-r36_1003.tar.bz2”h0Œ@7b28d913948a03c527cc2efe7bcd8d5fe763d73b830a7780a0d07485e3c90712”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-fts”Œr-mlogit”Œ	r-sfsmisc”Œr-vegan”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ä&§ß;hEJ» hFˆubh)”}”(hŒ	r-munsell”h#Œ0.5.0”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ(r-munsell-0.5.0-r40h6115d3f_1003.tar.bz2”h+Œ f5a57ba00971727e4c7fce39260cadd9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-munsell-0.5.0-r40h6115d3f_1003.tar.bz2”h0Œ@7c13935e11f2bfffd64b40762bbacaaa06ab05f8d43baf51d7fc3e5fb5a399df”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-colorspace”†”h9hºh@ŒMIT”hBŒMIT”hDGA×«9ª-¸hEJØ hFˆubh)”}”(hŒpython-io-wrapper”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,python-io-wrapper-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2c8ab924d2655ca323dfba3b278ded51”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/python-io-wrapper-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@05eb94d9a27b78ce2c4380a4140f7c5ed63362266da76fad3615500ee0783e81”h2NhNh3Œpython >=3.6”…”h9h?h@Œ	Unlicense”hBŒPUBLIC-DOMAIN”hDGAØÜÓ¤ÂhEMÏhFˆubh)”}”(hŒr-yarrr”h#Œ0.1.5”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ'r-yarrr-0.1.5-r351h6115d3f_1000.tar.bz2”h+Œ 4451df44136594687f9aab21ae09a9d5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-yarrr-0.1.5-r351h6115d3f_1000.tar.bz2”h0Œ@50f1fe3e6c2594d8d82375a4aef2c8f968142c2be0c86b1aeea23e29cf6e695c”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-bayesfactor”Œ
r-circlize”Œr-jpeg”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×îã«hEJœ¼< hFˆubh)”}”(hŒpyroute2.minimal”h#Œ0.6.13”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,pyroute2.minimal-0.6.13-pyhd8ed1ab_1.tar.bz2”h+Œ 2fd6e2f7471ed6464b4b0a7d153d0eb2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/pyroute2.minimal-0.6.13-pyhd8ed1ab_1.tar.bz2”h0Œ@144d930e814b7cf4a7ea04bb37f0611a088e2d90773accecbf025a058e22251a”h2NhNh3Œimportlib-metadata”Œpyroute2.core 0.6.13”Œpython >=3.6”‡”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ×à`:ÐåhEM›UhFˆubh)”}”(hŒr-diagrammersvg”h#Œ0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-diagrammersvg-0.1-r41hc72bb7e_0.tar.bz2”h+Œ e8d38014148e59638efc4e4401653a49”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-diagrammersvg-0.1-r41hc72bb7e_0.tar.bz2”h0Œ@5c6fcdb0e3daa87ed59ffa6afbb8c64835ecb09638005835ef48182064f50ba5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-v8 >=0.10”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ìgë33hEJ
 hFˆubh)”}”(hŒlibglvnd-devel-cos7-aarch64”h#Œ1.0.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libglvnd-devel-cos7-aarch64-1.0.1-h9d98e8f_104.tar.bz2”h+Œ 4068a5812e93c164a57546cf9eba3efe”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-devel-cos7-aarch64-1.0.1-h9d98e8f_104.tar.bz2”h0Œ@e8b7232a5051b6152b7ed37ce101057943cf2ab42d1cf2a6db81c392d64f8198”h2NhNh3(Œ.libglvnd-core-devel-cos7-aarch64 ==1.0.1 *_104”Œ#libglvnd-cos7-aarch64 ==1.0.1 *_104”Œ'libglvnd-egl-cos7-aarch64 ==1.0.1 *_104”Œ(libglvnd-gles-cos7-aarch64 ==1.0.1 *_104”Œ'libglvnd-glx-cos7-aarch64 ==1.0.1 *_104”Œ*libglvnd-opengl-cos7-aarch64 ==1.0.1 *_104”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ59ŒÜ“hEMq9hFˆubh)”}”(hŒr-forestmodel”h#Œ0.6.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-forestmodel-0.6.2-r41hc72bb7e_1.tar.bz2”h+Œ 69d13503d394aa02788f52c3e80a0b14”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-forestmodel-0.6.2-r41hc72bb7e_1.tar.bz2”h0Œ@24104d04c01b3405f93527271441786e762adc90aec9871bd9b7b702850f9590”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom >=0.5.0”Œr-dplyr >=0.8.0”Œr-ggplot2 >=3.1.0”Œr-rlang >=0.3.0”Œr-tibble >=1.4.2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑŽd¸£×hEJó hFˆubh)”}”(hŒ
r-sparsepp”h#Œ1.22”h%Œr36_2003”h'MÓhhh(h)hŒ r-sparsepp-1.22-r36_2003.tar.bz2”h+Œ c1641380201310e0f7cc583eab276da7”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepp-1.22-r36_2003.tar.bz2”h0Œ@df3dfd38855e835a46920d11ec062e1efbaac271ba1515a15f141e7bd65b601b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×¬8W‚-hEJÎÑ hFˆubh)”}”(hŒtinysegmenter”h#Œ0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&tinysegmenter-0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 903b1eb85a4816e8e801f686b38a16ae”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/tinysegmenter-0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@25ec89a4936c294d0de98ed3f898ced86c03d97c60d2a92b7be9ae4a5fc38c2e”h2NhNh3Œpython >=2.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ]§íƒ¥ãhEM>hFˆubh)”}”(hŒexpat-cos7-aarch64”h#Œ2.1.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.expat-cos7-aarch64-2.1.0-h9d98e8f_1104.tar.bz2”h+Œ 2a97cf5564ee8903b9da837c4f8e5ba8”h.Œ\https://conda.anaconda.org/conda-forge/noarch/expat-cos7-aarch64-2.1.0-h9d98e8f_1104.tar.bz2”h0Œ@b1b7645a5c09436d8570437c6e8ff886c128d91916a6ead19768d0b30950fdd4”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzÈ¸hEJöM hFˆubh)”}”(hŒxyzpy”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ xyzpy-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ e39c40a9c6e971854fef774eeebcb8b8”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/xyzpy-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@10ac67d0c4959e8ad52383c03cfa7d00a20c020c8054f0311f264ec76d08564a”h2NhNh3(Œdask-core >=0.11.1”Œh5netcdf >=0.2.2”Œh5py >=2.6.0”Œjoblib >=0.12”Œmatplotlib-base >=2.2.0”Œnumpy >=1.10.0”Œpandas >=0.20”Œpython >=3.5”Œtqdm >=4.7.6”Œxarray >=0.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØNýkpå`hEJ5 hFˆubh)”}”(hŒr-coveffectsplot”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-coveffectsplot-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ 224845d58a90a1b3d21b9f5778ca5db7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-coveffectsplot-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@105bd40aeb40aabad6f091d93e49b009e7355a1a00a190ba4fbf599d83386afe”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colourpicker”Œr-data.table >=1.9.8”Œr-dplyr”Œr-egg”Œr-ggplot2 >=3.3.2”Œ
r-markdown”Œr-shiny”Œ	r-shinyjs”Œr-shinymeta”Œr-table1”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¥3ê€´9hEJ3$ hFˆubh)”}”(hŒ	microfilm”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$microfilm-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ b65590b6fe4a63fc07f0faa999be5171”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/microfilm-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0936bb00b4f407107d731f190be2ce48640259bd0b65f7b9127106229e53b407”h2NhNh3(Œaicsimageio”Œh5py”Œimageio”Œimageio-ffmpeg”Œ
ipywidgets”Œmatplotlib-base”Œmatplotlib-scalebar”Œnatsort”Œ	nd2reader”Œnumpy”Œpython >=3.7”Œscikit-image”Œtifffile”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ´…‘æ5?hEMáchFˆubh)”}”(hŒr-rhandsontable”h#Œ0.3.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-rhandsontable-0.3.8-r41hc72bb7e_1.tar.bz2”h+Œ d2d136f8825e846d178eddb33ea365a0”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rhandsontable-0.3.8-r41hc72bb7e_1.tar.bz2”h0Œ@6305392cabcd508692d29ace76a5e5361b88187101749236a043028f35f21478”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets >=0.3.3”Œ
r-jsonlite”Œ
r-magrittr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐðæÆffhEJ&ð, hFˆubh)”}”(hŒcompressed-rtf”h#Œ1.0.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)compressed-rtf-1.0.6-pyh9f0ad1d_0.tar.bz2”h+Œ 1de16393744dad23b9e5707f01f883aa”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/compressed-rtf-1.0.6-pyh9f0ad1d_0.tar.bz2”h0Œ@7aa133d81410d872751c8e3af3f61900abd3016727119cd1a0fa03fbdae83413”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Â.·~úhEM$&hFˆubh)”}”(hŒ	r-faraway”h#Œ1.0.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-faraway-1.0.8-r40hc72bb7e_0.tar.bz2”h+Œ 4f3bb2c7aa504c21c4b089aeef78f1b9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-faraway-1.0.8-r40hc72bb7e_0.tar.bz2”h0Œ@63c1a0ce87b2f5e3c6ab605dd4f70e58bc2d8b6f140e826bfb72be90f822f864”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lme4”Œr-nlme”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÁS·GïžhEJ¶I hFˆubh)”}”(hŒr-bigparallelr”h#Œ0.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-bigparallelr-0.3.2-r42hc72bb7e_1.tar.bz2”h+Œ d5b8fed800b13512d2ccf364ebe2626a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bigparallelr-0.3.2-r42hc72bb7e_1.tar.bz2”h0Œ@6ce04b0755b6ef48abf8fe1e0f7c555163b1f3e52644e24c9c87d34f12dbf622”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bigassertr >=0.1.1”Œr-doparallel”Œr-flock”Œ	r-foreach”Œr-parallelly”Œr-rhpcblasctl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¾Þÿß;hEMxìhFˆubh)”}”(hŒr-oompabase”h#Œ3.2.9”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-oompabase-3.2.9-r36h6115d3f_1.tar.bz2”h+Œ dce370b73c6c960682147707075db89d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-oompabase-3.2.9-r36h6115d3f_1.tar.bz2”h0Œ@706ab94a9b8f6e8c9c73b90b49c8efbe930f53f237e9379797aa43d2567faec0”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×¬$ÌãÆ¨hEJŽù hFˆubh)”}”(hŒabsolufy-imports”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+absolufy-imports-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6cfab7bc82c2a20549163c93c890e9d6”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/absolufy-imports-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c3734dc0b657bfc31ef190a785343cd15c600b19180dd5f3244bd001a92f6b3e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ™¤ÿ hEMÓ"hFˆubh)”}”(hŒr-ccp”h#Œ1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒr-ccp-1.2-r41hc72bb7e_1.tar.bz2”h+Œ 1d613fddb50869df2ba7c4941865eb7a”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ccp-1.2-r41hc72bb7e_1.tar.bz2”h0Œ@621f33a82922eae598f656eb0d6a36e7467efc8c07bb5c1417aa9552e56d6b8c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒœiÂ¬hEMòõhFˆubh)”}”(hŒ
unicodecsv”h#Œ0.14.1”h%Œpy_1”h'Khhh(h)hŒunicodecsv-0.14.1-py_1.tar.bz2”h+Œ 3b2b0e9d7f73db2b5e45db113badb7f7”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/unicodecsv-0.14.1-py_1.tar.bz2”h0Œ@4bbf3579d57036725562ccc11c57bc487f1eb5c14c138a6881d10f34c2f04237”h2NhNh3Œpython”…”h9h?h@ŒBSD”hBŒBSD”hDGAÖÒ™=o
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r-sgeostat”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÓxò:ÀƒhEJñö hFˆubh)”}”(hŒursabot”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒursabot-0.1.0-py_0.tar.bz2”h+Œ feedf25a9d729f6cbf11b653773e425e”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/ursabot-0.1.0-py_0.tar.bz2”h0Œ@0fb86ccf19f8e21a08f636c5e7b0572c7156a67b736dd0a41e34492e55705260”h2NhNh3(Œbuildbot”Œbuildbot-console-view”Œbuildbot-grid-view”Œbuildbot-waterfall-view”Œbuildbot-worker”Œbuildbot-www”Œclick”Œdistro”Œ
docker-map”Œ	docker-py”Œ	dockerpty”Œpython >=3.6”Œpython-dotenv”Œruamel.yaml”Œtabulate”Œtoolz”Œtoposort”Œtreq”Œtwisted”Œ	typeguard”t”h9h?h@ŒDual GPLv2 and BSD 2-Clause”hBŒGPL2”hDGA×Y¤8ÞéyhEMÎÉhFˆubh)”}”(hŒr-ggrandomforests”h#Œ2.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ-r-ggrandomforests-2.2.1-r40hc72bb7e_0.tar.bz2”h+Œ 92c9e357639caadab0af4d5a015f68d0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-ggrandomforests-2.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@a0ba0493b2d4d678d4b96f95dd7aa410f93aff6500df5b99f0026626f5b4ea26”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-randomforest”Œr-randomforestsrc >=1.5.5”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÄ0-‡hEJ(ê hFˆubh)”}”(hŒstrec”h#Œ2.1.8”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ strec-2.1.8-pyhd8ed1ab_1.tar.bz2”h+Œ 39244b024e64186645ce1558b5d7f269”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/strec-2.1.8-pyhd8ed1ab_1.tar.bz2”h0Œ@dc85843118f4ec6c591ae5c2a459e9357b83e6e8fd1816d79b6fd060f568c7b9”h2NhNh3(Œfiona”Œ	libcomcat”Œmapio”Œnumpy”Œobspy”Œopenpyxl”Œpandas”Œpyproj”Œpython >=3.6”Œshapely”Œxlrd”Œxlwt”t”h9h?h@ŒCC-PDDC”hBŒPublic Domain”hDGAØd´™QìhEJìühFˆubh)”}”(hŒibacm-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,ibacm-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h+Œ 535ddb0a9361958a543d25262ffe2ff1”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h0Œ@fd062a00d32d0befe8c967ca5940922a6621da9fbf96b22e7443baa9d2a5f9a4”h2NhNh3Œ#libibumad-cos7-aarch64 ==22.4 *_104”Œ$libibverbs-cos7-aarch64 ==22.4 *_104”Œ#rdma-core-cos7-aarch64 ==22.4 *_104”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É|d¹&éhEJn hFˆubh)”}”(hŒlibpng-devel-cos7-ppc64le”h#Œ1.5.13”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libpng-devel-cos7-ppc64le-1.5.13-h9d98e8f_104.tar.bz2”h+Œ 9a85d7604fcd733564b7b151a652d8a5”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-ppc64le-1.5.13-h9d98e8f_104.tar.bz2”h0Œ@0d7fefc657e7914db5519c280e324b2d619c8b16fa9aa43b9e244e6210e5e2b4”h2NhNh3Œ"libpng-cos7-ppc64le ==1.5.13 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGA×É{†¿;dhEJ¶À hFˆubh)”}”(hŒ	wxyz_yaml”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$wxyz_yaml-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 39155c8c73c630fc6e8580214d646f7d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/wxyz_yaml-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3a075686c43a77651d0f4bcd0f5c3d91931b664f5dc99c4291d4a96370975a55”h2NhNh3Œpython >=3.6”Œpyyaml”Œwxyz_core >=0.5,<0.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ.žÚá©ühEMBhFˆubh)”}”(hŒdjango-filter”h#Œ22.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'django-filter-22.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7a8423e6abc8f11db7bd72160a6b3db9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/django-filter-22.1-pyhd8ed1ab_0.tar.bz2”h0Œ@84c7fb6687092b39826ca9747677648e136eb8a12b27893a3e5799822be4063b”h2NhNh3Œdjango >=2.2”Œpython >=3.5”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ«5ùÁ‰7hEM¼hFˆubh)”}”(hŒlibxrandr-devel-cos7-ppc64le”h#Œ1.5.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7libxrandr-devel-cos7-ppc64le-1.5.1-h9b0a68f_105.tar.bz2”h+Œ 27ecb841ee6688502cdab32e3534363c”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos7-ppc64le-1.5.1-h9b0a68f_105.tar.bz2”h0Œ@9e697afc7f6bbba2a57f6ee8cb6565e863d04912c419f9f0285d9fac0468ff65”h2NhNh3Œ$libxrandr-cos7-ppc64le ==1.5.1 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@
 bNhEMå=hFˆubh)”}”(hŒlibxinerama-cos7-ppc64le”h#Œ1.1.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libxinerama-cos7-ppc64le-1.1.3-h9b0a68f_1105.tar.bz2”h+Œ c58144067b54b42747339cc7c2914a18”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-ppc64le-1.1.3-h9b0a68f_1105.tar.bz2”h0Œ@44abf0c89b11b152c7b45a59d55d084c7ef1c4f76af7ad65ae45d9a11cf4ddd9”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@|01'hEM²,hFˆubh)”}”(hŒr-ggcorrplot”h#Œ0.1.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-ggcorrplot-0.1.4-r40hc72bb7e_0.tar.bz2”h+Œ 6917f0377af8cda0abcc4c9daeb9298c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ggcorrplot-0.1.4-r40hc72bb7e_0.tar.bz2”h0Œ@c4fcb2aff922ed4e1a585f278db30016e51486c86b3d7d1f6d3ebba392149089”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œ
r-reshape2”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÌ¦†G;dhEMªhFˆubh)”}”(hŒ	georaster”h#Œ1.27”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#georaster-1.27-pyh9f0ad1d_0.tar.bz2”h+Œ ed08124503a4b1a6ccd55b2c1280cae4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/georaster-1.27-pyh9f0ad1d_0.tar.bz2”h0Œ@231940ced885b510f7ef3755f0d8b139a855417c68578e6bd993547b583a7c21”h2NhNh3(Œgdal”Œnumpy”Œpyproj”Œpython”Œscipy”t”h9h?h@ŒGPL-3.0”hBŒGPL3”hDGA×³KŽt¼jhEMUhFˆubh)”}”(hŒr-tidytidbits”h#Œ0.3.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-tidytidbits-0.3.2-r40hc72bb7e_0.tar.bz2”h+Œ 2a5d7e38b9b792014635dbff09eda971”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tidytidbits-0.3.2-r40hc72bb7e_0.tar.bz2”h0Œ@8de90b48dfc815e86330f1d689b02bb4c7c855cc5f074cdb41c52719ab1274d0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-extrafont”Œ	r-forcats”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØŒ´3"ÑhEJ5ô hFˆubh)”}”(hŒ	r-jcolors”h#Œ0.0.4”h%Œr35h6115d3f_1”h'Khhh(h)hŒ%r-jcolors-0.0.4-r35h6115d3f_1.tar.bz2”h+Œ 680fbbdcb72ae8b5f93d580cbd5fbbe7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-jcolors-0.0.4-r35h6115d3f_1.tar.bz2”h0Œ@9d5b9e45967fa2cdb90fd358f5da53e03b7352822a6171d4d8b4eaf7ba8798d1”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-ggplot2 >=3.0.0”Œr-scales”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LuäÙ‰7hEJ~ï
 hFˆubh)”}”(hŒroutes”h#Œ2.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!routes-2.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2b39c7cb77e6f4aa34420a8cb2a39c02”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/routes-2.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a2f1aa4828a10d847f64faaba1123c357f5711d4999a23b10d22d2c836535ece”h2NhNh3Œpython >=3.6”Œrepoze.lru >=0.3”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ç§•(´9hEMé‹hFˆubh)”}”(hŒlibibverbs-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libibverbs-cos7-aarch64-22.4-h9d98e8f_1104.tar.bz2”h+Œ 09a46fb1c11d9a2147eb8bb593e2378d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-aarch64-22.4-h9d98e8f_1104.tar.bz2”h0Œ@413c536b9e411ea3307cd6558a878fb068d1ca2e58524f1c52b43269d9fd3ea6”h2NhNh3Œ$rdma-core-cos7-aarch64 ==22.4 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É}Ä»…hEJòW hFˆubh)”}”(hŒenviron-config”h#Œ22.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*environ-config-22.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ a1103faffa0a877313c1fba776aa0fc0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/environ-config-22.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3c4f165b443de971180a12b5ee8ff895627d0542abed3fd05e80669ae4956f5c”h2NhNh3Œattrs >=17.4.0”Œpython >=3.3”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ’D¬hEMÌMhFˆubh)”}”(hŒr-genemodel”h#Œ1.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-genemodel-1.1.0-r40hc72bb7e_1.tar.bz2”h+Œ 0ad5b0dbdac2771d78445814ce9c4617”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-genemodel-1.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@4b1ee8178ae17d7ddcf9cb55944a162e02d7b39d1d6bb407bbf26b0768a4c027”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-stringr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+'mQ7LhEJ³5 hFˆubh)”}”(hŒfars_cleaner”h#Œ1.3.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'fars_cleaner-1.3.5-pyhd8ed1ab_0.tar.bz2”h+Œ e868ea27d6a2184f14c5a09ac8c510cf”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/fars_cleaner-1.3.5-pyhd8ed1ab_0.tar.bz2”h0Œ@b6266a1bbebcf5ad28d706738e2cbd43f1f2e9b99aa28890422b235140a00aa1”h2NhNh3(Œdask”Œdistributed”Œnumpy”Œpandas >=1.4.0”Œpathlib”Œpooch >=1.6.0”Œpyjanitor >=0.23.1”Œpython >=3.8”Œrequests”Œthefuzz”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÖæ\Ý/hEJ³{& hFˆubh)”}”(hŒr-climate4r.value”h#Œ1.0.0”h%Œr42ha770c72_1”h'Khhh(h)hŒ-r-climate4r.value-1.0.0-r42ha770c72_1.tar.bz2”h+Œ 83c11e35d0aca1c6863dd018e5ba4ced”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.value-1.0.0-r42ha770c72_1.tar.bz2”h0Œ@687ef2911799d5154f1373ce79df08ab6391d51b68c3b2acb11f95c839017057”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-transformer >=1.4.7”Œr-value >=1.4.23”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ´kóÆ¨hEM€þhFˆubh)”}”(hŒr-ic10trainingdata”h#Œ1.3.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ1r-ic10trainingdata-1.3.1-r41hc72bb7e_1002.tar.bz2”h+Œ eb99f91f2e22de38fa289da3029777f8”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-ic10trainingdata-1.3.1-r41hc72bb7e_1002.tar.bz2”h0Œ@0ad85cc9694994f0adcf1f399e45d4526bbcbabc0d5fb337ec704db7394bcf64”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+#R}²-hEJµ«a hFˆubh)”}”(hŒmechasvg”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#mechasvg-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 89279c1df7b1491b591341deadb2cd95”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/mechasvg-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@62602fd9f118b6c10b25acf9b61a6e49b507d3900255b890c22f4abc17c70395”h2NhNh3Œopenpyxl”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ­ÄãÇPhEMã_hFˆubh)”}”(hŒpyposeidon-base”h#Œ0.6.0”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ*pyposeidon-base-0.6.0-pyhd8ed1ab_2.tar.bz2”h+Œ 2ff28469e714f176d6f08fddcc06db4b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pyposeidon-base-0.6.0-pyhd8ed1ab_2.tar.bz2”h0Œ@17b644257dfaf6f1d7230215507254d8345fcfcb47f14443c8bc6c7c26c5f7d6”h2NhNh3(Œcfgrib”Œcolorlog”Œdask”Œf90nml”Œgeopandas >=0.10.1”Œgmsh >=4.8.4”Œjigsaw”Œnetcdf4”Œnumpy”Œpandas”Œpsutil”Œpydap >=3.3.0”Œpygeos >=0.10”Œ
pyresample”Œpython >=3.8,<3.9”Œpython-gmsh”Œrasterio”Œrequests”Œ	rioxarray”Œscipy”Œshapely 1.7.1.*”Œtqdm”Œxarray”Œzarr”t”h9h?h@ŒEUPL-1.2”hDGAØ‘ µ¿®hEJEa hFˆubh)”}”(hŒr-bb”h#Œ	2019.10_1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-bb-2019.10_1-r36h6115d3f_0.tar.bz2”h+Œ dbb6293dd3f2930a004f7bf52f023eac”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bb-2019.10_1-r36h6115d3f_0.tar.bz2”h0Œ@0e8a251ca779a4e0fd61af06b1dce2a40b190d1ca7d42a50a4e81b43b2fac087”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×€R#õÃhEJ”ç
 hFˆubh)”}”(hŒr-gprofiler”h#Œ0.7.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-gprofiler-0.7.0-r40h6115d3f_1.tar.bz2”h+Œ 4727468c11374a416df299967350541a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gprofiler-0.7.0-r40h6115d3f_1.tar.bz2”h0Œ@19fc81633dce7419d6ca1fbe36e4c3f81bd4e5d0242e49bb51615a3fb9fe51f7”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-plyr”Œr-rcurl”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬À³ß¾whEM—ãhFˆubh)”}”(hŒ
r-inctools”h#Œ1.0.15”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-inctools-1.0.15-r36h6115d3f_0.tar.bz2”h+Œ a52f044233bb8c95f396ad7a4c77e3fa”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-inctools-1.0.15-r36h6115d3f_0.tar.bz2”h0Œ@6404c29634e2a451c89bd0308bf232f741ea587938bfd91bbec95c508a4eb8c1”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-binom”Œ
r-cubature”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glm2”Œ
r-magrittr”Œr-plyr”Œr-pracma”Œr-rlang”Œr-tibble”Œ
r-tmvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×rCþwß;hEJú hFˆubh)”}”(hŒ
r-grplasso”h#Œ0.4_7”h%Œr36_0”h'K hhh(h)hŒr-grplasso-0.4_7-r36_0.tar.bz2”h+Œ 93ebfdeba91ef1134ad85ba90cb9de2a”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-grplasso-0.4_7-r36_0.tar.bz2”h0Œ@dd5deb3bdfcfb7fd402c682a4e92678ba0e2534e156922b6e4cd8837c530caad”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGA×­ÊmhEJ  hFˆubh)”}”(hŒ	pyqtgraph”h#Œ0.12.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyqtgraph-0.12.4-pyhd8ed1ab_0.tar.bz2”h+Œ da219a07b09cad3c8bc62a7754570f99”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyqtgraph-0.12.4-pyhd8ed1ab_0.tar.bz2”h0Œ@92ce8d1ec928bb2d0d5b93bc09232b85a6b5c5526a822f7c6991df729d394a3f”h2NhNh3Œnumpy”Œpython >=3.7”†”h6Œpyqt >=5.12”Œpyside2 >=5.12”†”h9h?h@ŒMIT”hBŒMIT”hDGAØˆ«qOl‹hEJK³
 hFˆubh)”}”(hŒr-rpmm”h#Œ1.25”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ$r-rpmm-1.25-r35h6115d3f_1001.tar.bz2”h+Œ 8df23c70f38ea9b1355e0681b132c2a4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rpmm-1.25-r35h6115d3f_1001.tar.bz2”h0Œ@3f4e280d19cc5aaafdce89702a3c6fa9343d48e9f3656d7bd6cf9fca9d1fa3f8”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-cluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LªÐ~éyhEJËŠ hFˆubh)”}”(hŒ	r-treesim”h#Œ2.4”h%Œr35h6115d3f_0”h'K hhh(h)hŒ#r-treesim-2.4-r35h6115d3f_0.tar.bz2”h+Œ 32da53467869ad576372dc7a244b37a9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-treesim-2.4-r35h6115d3f_0.tar.bz2”h0Œ@59c66394cf86f25a767034b21f8566305ea5ab51e0336aae820a10e94f301ace”h2NhNh3Œr-ape”Œr-base >=3.5,<3.6.0a0”Œr-geiger”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×d½ÅQ&éhEJÏÛ hFˆubh)”}”(hŒ xcb-util-image-devel-cos7-x86_64”h#Œ0.4.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ<xcb-util-image-devel-cos7-x86_64-0.4.0-h9d98e8f_1104.tar.bz2”h+Œ 351386b7435bfeeb6a603ffd109fab15”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-devel-cos7-x86_64-0.4.0-h9d98e8f_1104.tar.bz2”h0Œ@ebf077e60dd3039c42a12282f35fdde3802ebdab6128ed20531e55576204dbff”h2NhNh3Œsysroot_linux-64 2.17.*”Œ)xcb-util-image-cos7-x86_64 ==0.4.0 *_1104”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ôý¸hEMV7hFˆubh)”}”(hŒ
rb-bundler”h#Œ2.1.4”h%Œ
hd4c1694_0”h'K hhh(h)hŒ#rb-bundler-2.1.4-hd4c1694_0.tar.bz2”h+Œ 35fd4d4ca3bec7ca5b90f5c513fb9039”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rb-bundler-2.1.4-hd4c1694_0.tar.bz2”h0Œ@1e7f5ad528602a5c66dffb947b25d1588722434956798a495ca5e9454af9b963”h2NhNh3Œruby >=2.5.7,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×„Ž¢ÄÌÍhEJ/  hFˆubh)”}”(hŒpbxproj”h#Œ3.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pbxproj-3.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ a9bdcba2a5f712ddf727775d0c0cd000”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pbxproj-3.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@853c4add23b779d967cd5ed9e06cf6b192db3346064fac5e8510ff7c49aa3f55”h2NhNh3Œdocopt”Œopenstep-parser >=1.5.1”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÏ(ðI‡hEMGxhFˆubh)”}”(hŒ
r-pinfsc50”h#Œ1.2.0”h%Œr41ha770c72_1”h'Khhh(h)hŒ&r-pinfsc50-1.2.0-r41ha770c72_1.tar.bz2”h+Œ 8d4bcf744fa737591f55e7202b2acc58”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pinfsc50-1.2.0-r41ha770c72_1.tar.bz2”h0Œ@87741e5a576da6b391ec981f96ea3bb04c4f1e8cbfd470cf61f80b9cd80cacb1”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØÑj@¿l‹hEJ5 hFˆubh)”}”(hŒ
flake8-pie”h#Œ0.16.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&flake8-pie-0.16.0-pyhd8ed1ab_0.tar.bz2”h+Œ f54f394a739dc48654d014d5fb573c1b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/flake8-pie-0.16.0-pyhd8ed1ab_0.tar.bz2”h0Œ@00bfa5cdcd79b08efd33e1c426f49894f49d0799e72b469cb2ce27ae2f9f51f2”h2NhNh3Œpython >=3.7”Œtyping_extensions”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ¼ ¢ ´9hEMpxhFˆubh)”}”(hŒr-plasmidprofiler”h#Œ0.1.6”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ0r-plasmidprofiler-0.1.6-r41hc72bb7e_1003.tar.bz2”h+Œ cc7c379e2ba94d6c0c79f2458d3d694a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-plasmidprofiler-0.1.6-r41hc72bb7e_1003.tar.bz2”h0Œ@0dfc52e12b39ae2bcc409618d2919d6d6be65cf96df7136a2508ee837784600e”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-gdata”Œ
r-ggdendro”Œ	r-ggplot2”Œr-gridextra”Œr-gtable”Œr-htmlwidgets”Œ
r-magrittr”Œr-plotly”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”Œ	r-stringr”t”h9hºh@Œ
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pytest-cov”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŸžvÉhEMDhFˆubh)”}”(hŒ	unidecode”h#Œ1.3.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$unidecode-1.3.6-pyhd8ed1ab_0.tar.bz2”h+Œ e8f24401b17802df5f82f66a88cee29e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/unidecode-1.3.6-pyhd8ed1ab_0.tar.bz2”h0Œ@6556b1005d31edefef61a16601b27698d2837c2bae305efd7d3b9e27fd7a242d”h2NhNh3Œpython >=3.5”…”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÍæ~Ã¥ãhEJï€ hFˆubh)”}”(hŒpretrainedmodels”h#Œ0.7.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ+pretrainedmodels-0.7.4-pyhd8ed1ab_1.tar.bz2”h+Œ d387c44154ac198152b86364b689907e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pretrainedmodels-0.7.4-pyhd8ed1ab_1.tar.bz2”h0Œ@ef4c1e945e8f32848e2aba0d7f3272a177f57691afeaee753194bad7d2bff41f”h2NhNh3(Œmunch”Œpython >=3.6”Œpytorch”Œscipy”Œtorchvision >=0.3.0”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØvK¶FhEM
¬hFˆubh)”}”(hŒpymedphys_logfiles”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒ&pymedphys_logfiles-0.11.0-py_0.tar.bz2”h+Œ e277fb63531d0806d574c5f80205ab21”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pymedphys_logfiles-0.11.0-py_0.tar.bz2”h0Œ@b8f5648930ebf9bb77e93cf9f3cc5cad2d90bfd88a9bbf5889ebd472531971c1”h2NhNh3(Œattrs”Œ
matplotlib”Œnumpy >=1.12”Œpandas”Œpymedphys_databases 0.11.0 py_0”Œ!pymedphys_fileformats 0.11.0 py_0”Œpymedphys_mudensity 0.11.0 py_0”Œpymedphys_utilities 0.11.0 py_0”Œpython >=3.7”Œpython-dateutil”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×]èüËdZhEMû€hFˆubh)”}”(hŒ	r-cnogpro”h#Œ1.1”h%Œr36_1001”h'Méhhh(h)hŒr-cnogpro-1.1-r36_1001.tar.bz2”h+Œ 60d5ff2555884df434ec2fdf024cb0f9”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-cnogpro-1.1-r36_1001.tar.bz2”h0Œ@95515485cb87d93a784ac6d11afe29793a9b5b8a2294b574194047aa86dda250”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-seqinr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×M&¡’JhEJ	Æ hFˆubh)”}”(hŒr-canopy”h#Œ1.3.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-canopy-1.3.0-r40hc72bb7e_1.tar.bz2”h+Œ 98543f2d4d10a701f4b9406e7cec4080”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-canopy-1.3.0-r40hc72bb7e_1.tar.bz2”h0Œ@d1b34ca033ee536ace98b6e15c1f1332cdf79e9148c2cad06190b5c1743b23fd”h2NhNh3(Œr-ape”Œr-base >=4.0,<4.1.0a0”Œr-fields”Œ
r-pheatmap”Œr-scatterplot3d”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+ÆºñªhEJó] hFˆubh)”}”(hŒr-manipulate”h#Œ1.0.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ+r-manipulate-1.0.1-r35h6115d3f_1001.tar.bz2”h+Œ c9714e4c557b262fbf828e1c4f1eb0c1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-manipulate-1.0.1-r35h6115d3f_1001.tar.bz2”h0Œ@d9563ca42fd76b840befdebb120004b9143a0d6ceabb0c6c76658b68c3e4e40f”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×F€÷}‘hhEMÝhFˆubh)”}”(hŒlibxft-cos7-aarch64”h#Œ2.3.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.libxft-cos7-aarch64-2.3.2-hdf0574f_102.tar.bz2”h+Œ 5b07079df1c2db55d8dbea4e80d56dad”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-aarch64-2.3.2-hdf0574f_102.tar.bz2”h0Œ@bcca0ba99c1c93960ca359b5b18c888480da80f565836a544f6a51b503d5ba15”h2NhNh3Œ#fontconfig-cos7-aarch64 >=2.2 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ2ä1hEMéähFˆubh)”}”(hŒr-diffr”h#Œ0.1”h%Œr41hc72bb7e_1005”h'Míhhh(h)hŒ$r-diffr-0.1-r41hc72bb7e_1005.tar.bz2”h+Œ 9c441562c1fc86e18fb5be148c3ce494”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-diffr-0.1-r41hc72bb7e_1005.tar.bz2”h0Œ@933582f0ce01e31192bc88f2993efe7e9237c104793ed6f26969b52ea9119f4d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ‹\-hEJ¥U hFˆubh)”}”(hŒlibselinux-devel-cos7-ppc64le”h#Œ2.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6libselinux-devel-cos7-ppc64le-2.5-hdf0574f_102.tar.bz2”h+Œ 8e8c30bcdbb33d4f08f8d730561f43c8”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-ppc64le-2.5-hdf0574f_102.tar.bz2”h0Œ@4d956e13fcd9695f0b408cc4b903d6b11a3b96659745f527cc23c6ffb4aa41a4”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Å*øGÎÙhEJ¸\ hFˆubh)”}”(hŒr-rcgmin”h#Œ	2022_4.30”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-rcgmin-2022_4.30-r42hc72bb7e_1.tar.bz2”h+Œ 05fdf7014575e01a2067352db644fb1a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rcgmin-2022_4.30-r42hc72bb7e_1.tar.bz2”h0Œ@05135e821868747529a9fd568224efd61b759fba86127eace97bd52ed1c0d5a2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-optextras”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ©bS…hEJ&D hFˆubh)”}”(hŒr-rockchalk”h#Œ1.8.157”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-rockchalk-1.8.157-r40hc72bb7e_0.tar.bz2”h+Œ bda22cce4f79056eec09cd179dcd4e2e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rockchalk-1.8.157-r40hc72bb7e_0.tar.bz2”h0Œ@2ba41d901c4c27f0abe9e734e0c62d306548a3a47cf33651ba78b8e9d6b3dcc2”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cardata”Œr-kutils”Œr-lme4”Œr-mass”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ»¶hVÙhEJs& hFˆubh)”}”(hŒbillingegroup”h#h²h%Œpy_0”h'K hhh(h)hŒbillingegroup-3-py_0.tar.bz2”h+Œ 702fa5934488127beee92b551455d309”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/billingegroup-3-py_0.tar.bz2”h0Œ@58808a35bee2defbad660ccdb3f765eb900ade163a2f718e06579f61cf7ea1dd”h2NhNh3(Œfabio”Œfire”Œipython”Œjupyter”Œ
matplotlib”Œnumpy”Œpandas”Œpims”Œpyfai”Œpython”Œpyyaml”Œscikit-beam”Œscipy”Œseaborn”t”h9h?h@ŒNA”hEMlhFˆubh)”}”(hŒ
r-ggmosaic”h#Œ0.3.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-ggmosaic-0.3.3-r41hc72bb7e_1.tar.bz2”h+Œ 729a350a2f457afc9b2ba75819e83f52”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggmosaic-0.3.3-r41hc72bb7e_1.tar.bz2”h0Œ@3275026d97f404b5ac05789e4afd8773c933277f4aab14ad31040bb80d453068”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-ggplot2 >=3.3.0”Œ	r-ggrepel”Œr-plotly >=4.5.5”Œr-productplots”Œr-purrr”Œr-rlang”Œr-scales”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒqeé©ühEJÓÝ hFˆubh)”}”(hŒpython-utilities-jsm”h#Œ1.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/python-utilities-jsm-1.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 8c0b03bd632b1377c53fb50cc21252f7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/python-utilities-jsm-1.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@6a2308f58152f57eeb1b354bfa9246f796296b6305dc59aa3659291522f1d835”h2NhNh3(Œbagit”Œbeautifulsoup4”Œbleach”Œcchardet”Œchardet”Œ	ipykernel”Œopenpyxl”Œpython >=3.6”Œregex”Œrequests”Œsix”Œw3lib”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØËjCZn˜hEJ3Ð hFˆubh)”}”(hŒnapari-tissuumaps”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,napari-tissuumaps-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ e45b7738acd24bb2712c6e10114d75f8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/napari-tissuumaps-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1cba293a8630f91616943744ed854f3e0477bb88129dd465d02823f9f138dca4”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØCË-ÒòhEMn:hFˆubh)”}”(hŒpkgconfig-cos7-ppc64le”h#Œ0.27.1”h%Œha826a6f_103”h'Kghhh(h)hŒ2pkgconfig-cos7-ppc64le-0.27.1-ha826a6f_103.tar.bz2”h+Œ 58dafbcb3f9aa67016c44065c6d0c4d2”h.Œ`https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-ppc64le-0.27.1-ha826a6f_103.tar.bz2”h0Œ@0b01e81a5a87f766229d58ec02200f34f21dc1ae24a7b48ed1f1eb0a8c13e62c”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ/’qXhEMðÒhFˆubh)”}”(hŒrobotframework”h#Œ4.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)robotframework-4.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ e20ca74470432b2c47306d796c997992”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/robotframework-4.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@ed3f21732f386ba06ef6677fdb58987ff3ff196da7ab98f7acd815c6c38cee28”h2NhNh3Œpython >=2.7,<3|>=3.5”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØnš÷w;dhEJNÓ hFˆubh)”}”(hŒmarkdown”h#Œ3.3.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#markdown-3.3.6-pyhd8ed1ab_0.tar.bz2”h+Œ e7cbd93fe74dc4a06b4b494d60c659a9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/markdown-3.3.6-pyhd8ed1ab_0.tar.bz2”h0Œ@129c061a65194f31338f8d656a3a99ddfcce69fb3a581dbe0548eed848d2a8a4”h2NhNh3Œimportlib-metadata >=4.4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØeÙËt¼hEJÏ hFˆubh)”}”(hŒwxyz_jsonld”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&wxyz_jsonld-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6f7c7e5de8365ae10e1e5d03752136fb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/wxyz_jsonld-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b8ea90fb1a09c8a87327681e3ad2f0f97dd5941cda6e3a887e3f17a91bdc7743”h2NhNh3Œpyld”Œpython >=3.6”Œwxyz_core >=0.5,<0.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ.ž¸ÎÈ´hEM§ÝhFˆubh)”}”(hŒgeoana”h#Œ0.0.6”h%Œpy_1”h'Khhh(h)hŒgeoana-0.0.6-py_1.tar.bz2”h+Œ 940c153c790eec5801d26ad7115d69bf”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2”h0Œ@6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5”h2NhNh3(Œfuture”Œmatplotlib-base”Œnumpy >=1.7”Œ
properties”Œpython”Œscipy >=0.13”Œutm”Œ
vectormath”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯ýFep¤hEMrShFˆubh)”}”(hŒnss-softokn-freebl-cos7-ppc64le”h#Œ3.44.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ;nss-softokn-freebl-cos7-ppc64le-3.44.0-hdf0574f_102.tar.bz2”h+Œ 6f384bdf70906ef14503b33edfa299fe”h.Œihttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-ppc64le-3.44.0-hdf0574f_102.tar.bz2”h0Œ@cc9c5cb8337778dad5ef943a84eba8a55f1dac5f20dfa5e02747c51400cd4f64”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_102”Œ$nss-util-cos7-ppc64le >=3.44.0 *_102”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+{¿¾whEJ hFˆubh)”}”(hŒcachy”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒcachy-0.3.0-py_0.tar.bz2”h+Œ 808c46dc56ae4a796830129aaf1b51ec”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/cachy-0.3.0-py_0.tar.bz2”h0Œ@468b68a9e8714bf21ee2df551b919df28122f32e57033aafe50288fdfb7c4955”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×R‚³¹hshEMÖLhFˆubh)”}”(hŒ	r-statnet”h#Œ2019.6”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ&r-statnet-2019.6-r40hc72bb7e_2.tar.bz2”h+Œ 0ef1cdfcc6d25ff00697c1c9e5d610b0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-statnet-2019.6-r40hc72bb7e_2.tar.bz2”h0Œ@3e795e14e7f4abf1db7c56f3e36b7c74313fb64938d20c672a4ed9f53f11f4aa”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ergm >=3.10.4”Œr-ergm.count >=3.3”Œr-network >=1.15”Œr-networkdynamic >=0.10”Œr-sna >=2.4”Œr-statnet.common >=4.2”Œr-tergm >=3.6.1”Œr-tsna >=0.3”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+éÀÐbhEMY«hFˆubh)”}”(hŒr-wmtsa”h#Œ2.0_3”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ&r-wmtsa-2.0_3-r40hc72bb7e_1002.tar.bz2”h+Œ 3809aab4d37b4016c5b11da9b37535c3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wmtsa-2.0_3-r40hc72bb7e_1002.tar.bz2”h0Œ@a4dc648743c35466497b345e10db8700556651b8a98d7d8e89a83bd0e3ab34f0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ifultools >=2.0_0”Œr-mass”Œr-splus2r >=1.2_0”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ*âÔH ÅhEJíç hFˆubh)”}”(hŒr-spiralize”h#Œ1.0.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-spiralize-1.0.6-r41hc72bb7e_0.tar.bz2”h+Œ 6e0d1f1814c52a94e0cdd0147893c41c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-spiralize-1.0.6-r41hc72bb7e_0.tar.bz2”h0Œ@7380953b3dcc6049093a42adae617cd61298e3f6caf2ea9968d679b13d7b0778”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-circlize”Œr-getoptlong >=0.1.8”Œr-globaloptions >=0.1.1”Œr-lubridate”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¼ª"ÃhEJˆÈ hFˆubh)”}”(hŒ
r-oriclust”h#Œ1.0_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-oriclust-1.0_2-r40hc72bb7e_0.tar.bz2”h+Œ cd1f851c009fc5bb7ce71c9746789c83”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-oriclust-1.0_2-r40hc72bb7e_0.tar.bz2”h0Œ@22a7d580fc31b424837fbf22648481790cca48413ac1cdf24ada12780ea5abbd”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ­L>ffhEJ5W hFˆubh)”}”(hŒr-dendroextras”h#Œ0.2.3”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ-r-dendroextras-0.2.3-r35h6115d3f_1001.tar.bz2”h+Œ 1a2dafa9ec1b271b8696b6aa89633b1c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-dendroextras-0.2.3-r35h6115d3f_1001.tar.bz2”h0Œ@660bea319be8b48da0ec1d506f248fa6b7c079a0934d278e845b43b8a253df9a”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
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r-magrittr”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÔ±§·+hEJµt
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r-combinat”Œr-dplyr”Œr-igraph”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ V¸RhEJ„Å hFˆubh)”}”(hŒr-sweidnumbr”h#Œ1.4.2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ(r-sweidnumbr-1.4.2-r40h6115d3f_1.tar.bz2”h+Œ 89f41321dc02075c05887acc6cc5bd41”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sweidnumbr-1.4.2-r40h6115d3f_1.tar.bz2”h0Œ@b36f4f1682d0318ae914a3ec1a6f7f9259cf866244c1fbed0aea8090256cce59”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-checkmate”Œr-lubridate >=1.5”Œ	r-stringr”t”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×«þôß;hEJ(Ž hFˆubh)”}”(hŒpango-cos7-aarch64”h#Œ1.42.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ/pango-cos7-aarch64-1.42.4-ha826a6f_1103.tar.bz2”h+Œ 4ca7eefe00ec579b3326a152b1b6d2a5”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pango-cos7-aarch64-1.42.4-ha826a6f_1103.tar.bz2”h0Œ@e1f75a3b12d29272c00b7c2173b4c6f84d930c1a9228af6e20395c04b37269a9”h2NhNh3(Œ#cairo-cos7-aarch64 >=1.12.10 *_1103”Œ(fontconfig-cos7-aarch64 >=2.11.91 *_1103”Œ$freetype-cos7-aarch64 >=2.1.5 *_1103”Œ!fribidi-cos7-aarch64 >=1.0 *_1103”Œ"glib2-cos7-aarch64 >=2.56.1 *_1103”Œ$harfbuzz-cos7-aarch64 >=1.4.2 *_1103”Œ#libthai-cos7-aarch64 >=0.1.9 *_1103”Œ"libxft-cos7-aarch64 >=2.0.0 *_1103”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ3§»ohEJP hFˆubh)”}”(hŒlibxxf86vm-devel-cos6-x86_64”h#Œ1.1.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7libxxf86vm-devel-cos6-x86_64-1.1.3-h9b0a68f_105.tar.bz2”h+Œ 726992e60492d381e989fda0c386029b”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos6-x86_64-1.1.3-h9b0a68f_105.tar.bz2”h0Œ@0dfafaa23ae2d4b82ef5a732bf40ae1d36a067f2649712f9f7e6496c85ed6fae”h2NhNh3Œ$libxxf86vm-cos6-x86_64 ==1.1.3 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[¹´ÌÍhEMã0hFˆubh)”}”(hŒlibsm-devel-cos7-ppc64le”h#Œ1.2.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libsm-devel-cos7-ppc64le-1.2.2-h9d98e8f_1104.tar.bz2”h+Œ 46c9431e5432078ffeb1eea5d10b0327”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-ppc64le-1.2.2-h9d98e8f_1104.tar.bz2”h0Œ@44a50104ba9b8f5d3d7dc1739c3d5f8a61750fbe808a872437e1be092d690e7d”h2NhNh3Œ!libsm-cos7-ppc64le ==1.2.2 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É}f'KÇhEMŠ"hFˆubh)”}”(hŒpythx”h#Œ1.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pythx-1.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 67484d93ed82f23a6c066100610dd255”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pythx-1.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@915c576ecaad0de5b44c6ff986f377f3e3cb91d448f3674f53776e086302e6b0”h2NhNh3(Œinflection 0.5.1”Œmythx-models 2.0.1”Œpyjwt 1.7.1”Œpython >=3.6,<4”Œpython-dateutil 2.8.1”Œrequests 2.25.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØmëxÕhEMŸvhFˆubh)”}”(hŒr-fontquiver”h#Œ0.2.1”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ,r-fontquiver-0.2.1-r351h6115d3f_1001.tar.bz2”h+Œ 77ee3924203e88903b6abf476f2387e5”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-fontquiver-0.2.1-r351h6115d3f_1001.tar.bz2”h0Œ@6d23ca78f164106853d7be7873ca3238399127819843d87f39cc2d39b2fc8e79”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-fontbitstreamvera >=0.1.0”Œr-fontliberation >=0.1.0”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖüú‚Œ“hEJH$ hFˆubh)”}”(hŒr-blme”h#Œ1.0_5”h%Œr41ha770c72_1”h'Khhh(h)hŒ"r-blme-1.0_5-r41ha770c72_1.tar.bz2”h+Œ 5167e6ab645e8feb7f37a8df5c185a27”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-blme-1.0_5-r41ha770c72_1.tar.bz2”h0Œ@180bdc99d1b3528fec3d609c09c4eb6fcd9c8c0699967c324d5b32b18d9c5861”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lme4 >=1.0_6”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒòºu?}hEJ$< hFˆubh)”}”(hŒnestle”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒnestle-0.2.0-py_0.tar.bz2”h+Œ 39f3558a91a512eb50525fba18cf2ba9”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/nestle-0.2.0-py_0.tar.bz2”h0Œ@1980bae1246431fef32ad2eab4ea28c1efec9e817ca522a93d686b9a3e8885a8”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×/G\¬hEM‚;hFˆubh)”}”(hŒr-exposition”h#Œ2.8.23”h%Œr40h6115d3f_2”h'Khhh(h)hŒ)r-exposition-2.8.23-r40h6115d3f_2.tar.bz2”h+Œ 75a96a38d3fd4653a854154d770002ba”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-exposition-2.8.23-r40h6115d3f_2.tar.bz2”h0Œ@da3f9fa428ae541a2d599566c2b48d647487ac8f66047992f02ca9d8501fea44”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-prettygraphs >=2.1.4”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬=èƒhEJ6+ hFˆubh)”}”(hŒ	r-preseqr”h#Œ4.0.0”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ(r-preseqr-4.0.0-r35h6115d3f_1001.tar.bz2”h+Œ 5ace044eff116a3ca48b6ecf74f3f5c6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-preseqr-4.0.0-r35h6115d3f_1001.tar.bz2”h0Œ@2bd9f29b45e48bb1d5a32806843607fe03b5d4ce3db775270cd60957b49aec8a”h2NhNh3Œr-base 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>=0.9_9”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒMªßïžhEJö€ hFˆubh)”}”(hŒkernel-headers-cos7-aarch64”h#Œ4.18.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8kernel-headers-cos7-aarch64-4.18.0-hdf0574f_1102.tar.bz2”h+Œ de602c11430db8ed44cea8de3785f209”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos7-aarch64-4.18.0-hdf0574f_1102.tar.bz2”h0Œ@dd32251eaf785e1759df60d27af703b52e87c99291b9bb7c82ed048ecd2cc94a”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@Œ4GPLv2 and Redistributable, no modification permitted”hBŒGPL2”hDGA×Å+:Æ§ðhEMMhFˆubh)”}”(hŒ	r-rmallow”h#Œ1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-rmallow-1.1-r41hc72bb7e_1.tar.bz2”h+Œ 8c8c3f7ea2a3e97b93902349c1cc007c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rmallow-1.1-r41hc72bb7e_1.tar.bz2”h0Œ@d10f5f41c5ac5c720d462a16ab042802b242041248375e8a04127c061e659269”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-combinat”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+]ãdZhEJÑÓ hFˆubh)”}”(hŒ	pixiedust”h#Œ1.1.19”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ%pixiedust-1.1.19-pyh6c4a22f_0.tar.bz2”h+Œ f46dc5e6e6d8c8a5908ac56d13e404ed”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pixiedust-1.1.19-pyh6c4a22f_0.tar.bz2”h0Œ@5d4ce94e7be6c321ba1b763d080be0a2000e1407f87177e8d1e30e33f4b3b876”h2NhNh3(Œ
astunparse”Œbokeh”Œcolour”Œgeojson”Œjupyter”Œlxml”Œmarkdown”Œmatplotlib-base”Œmpld3”Œnumpy”Œpandas”Œpython”Œrequests”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¥ÁIºhEJ˜Ê hFˆubh)”}”(hŒr-assertive.sets”h#Œ0.0_3”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ/r-assertive.sets-0.0_3-r40hc72bb7e_1003.tar.bz2”h+Œ 181ff5fe934adb00c1e082882a495461”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.sets-0.0_3-r40hc72bb7e_1003.tar.bz2”h0Œ@0143372c8a1a6434fc78e79200620f6ab662914c45da193ce73ee183ebd88272”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.0,<4.1.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*úÄ›…hEM1ŒhFˆubh)”}”(hŒr-heatmap.plus”h#Œ1.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ+r-heatmap.plus-1.3-r36h6115d3f_1002.tar.bz2”h+Œ 3c9f2040a6edee009ad7b3740da3f8d1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-heatmap.plus-1.3-r36h6115d3f_1002.tar.bz2”h0Œ@69edc43c38c9b5a7ad9f60b674ed6d67726f03193e9d3968c531fbf38f0d2dca”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×Ly7ÍãThEMÊphFˆubh)”}”(hŒnapari-tabu”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&napari-tabu-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 1ed328645c9d09ea25b96245b77fda6b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/napari-tabu-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@532b9222668b13fb5fec16fe8e0acd9b791aa2b3218a13de8a8c0f0499f4d7c9”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnapari-tools-menu”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~—ø›¥ãhEMp'hFˆubh)”}”(hŒr-traits”h#Œ0.5.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-traits-0.5.0-r40hc72bb7e_0.tar.bz2”h+Œ 0eeeb2e171554f45eeaa180cc8bcb2fe”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-traits-0.5.0-r40hc72bb7e_0.tar.bz2”h0Œ@7e02a4b26fc91e6f69c425865a7288f2abf9d57545d96310b190d297f6f921b8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.6.0”Œr-data.table >=1.9.6”Œr-hoardr”Œr-httr >=1.1.0”Œr-jsonlite >=0.9.19”Œr-readr >=1.1.1”Œr-rvest >=0.3.1”Œr-taxize >=0.7.4”Œr-tibble >=1.3.4”Œr-xml2 >=0.1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,N}IxÕhEJzz hFˆubh)”}”(hŒcycler”h#Œ0.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cycler-0.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ a50559fad0affdbb33729a68669ca1cb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3b594bc8aa0b9a51269d54c7a4ef6af777d7fad4bee16b05695e1124de6563f6”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ_ÐÄœhEMC(hFˆubh)”}”(hŒorbit2-devel-cos6-x86_64”h#Œ2.14.17”h%Œha826a6f_1103”h'MOhhh(h)hŒ6orbit2-devel-cos6-x86_64-2.14.17-ha826a6f_1103.tar.bz2”h+Œ 4687a895b749c1178df8eb6aaf587635”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos6-x86_64-2.14.17-ha826a6f_1103.tar.bz2”h0Œ@e8ae53be04b8d390c3972d135d478e170031168f594f182023abe24501b14258”h2NhNh3(Œ&glib2-devel-cos6-x86_64 >=2.2.0 *_1103”Œ'libidl-devel-cos6-x86_64 >=0.8.2 *_1103”Œ#orbit2-cos6-x86_64 ==2.14.17 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Æ3×SohEJEv hFˆubh)”}”(hŒ	r-rmtstat”h#Œ0.3.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ%r-rmtstat-0.3.1-r40ha770c72_0.tar.bz2”h+Œ 023ef126c99db6bb13734b8b7b7f8a35”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rmtstat-0.3.1-r40ha770c72_0.tar.bz2”h0Œ@a8732b49f1e8429cec62686c3dfa5d16c2d24c9ec1dd806c388bc39555bcc1a9”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ–A— å`hEJvî hFˆubh)”}”(hŒr-iml”h#Œ0.11.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-iml-0.11.1-r41hc72bb7e_1.tar.bz2”h+Œ 99bbd871c832df4e796aa6db02d8d94d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-iml-0.11.1-r41hc72bb7e_1.tar.bz2”h0Œ@2b883eed6f7659eed799fb74c5c5db51114ee25a056a456e18ff4ff3590796a6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œ	r-formula”Œr-future”Œr-future.apply”Œ	r-ggplot2”Œr-keras >=2.2.5.0”Œ	r-metrics”Œr-prediction”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ½ƒbNhEJ=Ã hFˆubh)”}”(hŒ
hyperframe”h#Œ6.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9f765cbfab6870c8435b9eefecd7a1f4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e374a9d0f53149328134a8d86f5d72bca4c6dcebed3c0ecfa968c02996289330”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ jZnE¢hEM69hFˆubh)”}”(hŒswagger-spec-validator”h#Œ3.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1swagger-spec-validator-3.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 256583ed3e4be226651801c8920f316f”h.Œ_https://conda.anaconda.org/conda-forge/noarch/swagger-spec-validator-3.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@fbef8e93a1ffc68790c22d3cbc78fadfae37d357d19ade80f56790106fd5d160”h2NhNh3(Œ
jsonschema”Œpython >=3.6”Œpyyaml”Œ
setuptools”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÙRµ`BhEM°\hFˆubh)”}”(hŒr-xmisc”h#Œ0.2.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ&r-xmisc-0.2.1-r36h6115d3f_1001.tar.bz2”h+Œ 3078c164b868a8695afa49f32d5bb5a8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xmisc-0.2.1-r36h6115d3f_1001.tar.bz2”h0Œ@cb85537e529a4525b3348b9870077808f4fc621cccd64e95f05c9571bfaac865”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Lœä¬hEJ¬= hFˆubh)”}”(hŒlibidl-devel-cos7-aarch64”h#Œ0.8.14”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libidl-devel-cos7-aarch64-0.8.14-h9d98e8f_1104.tar.bz2”h+Œ 93cc278476cfcd37f19040148d84c10e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-aarch64-0.8.14-h9d98e8f_1104.tar.bz2”h0Œ@9b88857fe81a8b472d3a36176745cccfe98d86a3ebf23756c8a6e272c96faf53”h2NhNh3(Œ%glib2-devel-cos7-aarch64 >=2.0 *_1104”Œ#libidl-cos7-aarch64 ==0.8.14 *_1104”Œ#pkgconfig-cos7-aarch64 >=0.8 *_1104”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É>Øå`hEMjhFˆubh)”}”(hŒorbit2-cos7-x86_64”h#Œ2.14.19”h%Œha826a6f_1103”h'MOhhh(h)hŒ0orbit2-cos7-x86_64-2.14.19-ha826a6f_1103.tar.bz2”h+Œ 4125c93c713a5722f371b5af599897e4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-x86_64-2.14.19-ha826a6f_1103.tar.bz2”h0Œ@6db12add60093206b2c30a200bcf74ae4d0a9c1ff2f5fc4cc1b3aa5b7f155e16”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Æ/³ïžhEJxÿ hFˆubh)”}”(hŒ
colorlover”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒcolorlover-0.3.0-py_0.tar.bz2”h+Œ 1626aa94341655894b5aa6513491e327”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/colorlover-0.3.0-py_0.tar.bz2”h0Œ@99e3aca080fdec457e4a36a5fc83adffce7a5aadb917151f166b5dc48b11ebd2”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×£A¡ËhEM-.hFˆubh)”}”(hŒ
pymdwizard”h#Œ2.0.4”h%Œpy_0”h'K hhh(h)hŒpymdwizard-2.0.4-py_0.tar.bz2”h+Œ 73f6405068aab3da09e9d2f6a580f956”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pymdwizard-2.0.4-py_0.tar.bz2”h0Œ@96955d92d6949fa8bf2e36414dbb6a615d37a8343db0b59cc065546346207434”h2NhNh3(Œ
defusedxml”Œ
gdal 2.2.*”Œ	geopandas”Œhabanero”Œjupyter”Œlxml”Œpandas”Œ
pyqt >=5.0”Œpython”Œpython-docx”Œrequests”Œxlrd”t”h9h?h@ŒCC0 4.0”hDGAÖ½7´)XhEJOµ hFˆubh)”}”(hŒhexalattice”h#Œ1.2.1”h%Œpyh8a188c0_0”h'K hhh(h)hŒ&hexalattice-1.2.1-pyh8a188c0_0.tar.bz2”h+Œ c61e1e5866a45669da1618a8e93cb088”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/hexalattice-1.2.1-pyh8a188c0_0.tar.bz2”h0Œ@17b0cae0578e209628ce879eb2a1e36b45c84d0cd34f07be12a840917516d784”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØbeQ›•hEM²-hFˆubh)”}”(hŒ	r-inaparc”h#Œ1.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-inaparc-1.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 370f427769e82e1712b2c30d8279b183”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-inaparc-1.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@0e24364047677be0025227625c6dc33d735657e42f3657a8363a71c3ead833f0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-kpeaks”Œ	r-lhs >=1”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØªâÀÙhEJ<X hFˆubh)”}”(hŒr-janeaustenr”h#Œ1.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-janeaustenr-1.0.0-r42hc72bb7e_1.tar.bz2”h+Œ 5b9003955053d4e943c27b6125382213”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-janeaustenr-1.0.0-r42hc72bb7e_1.tar.bz2”h0Œ@9a5cf751c0e58dcb99eaada074cd02a9e52a566071feaeb06626b8b08489e538”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ·Õ5?}hEJ£ hFˆubh)”}”(hŒ	cgroupspy”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$cgroupspy-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 2ef751e75d6e9882ef753db698086fc9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/cgroupspy-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@48220178df07b790d7a2c3ade85cd8644c5607df595d0703eca5ddc94978f18c”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ›Ä¶È´hEMwChFˆubh)”}”(hŒmutpy”h#Œ0.6.1”h%Œpyhd8ed1ab_4”h'Khhh(h)hŒ mutpy-0.6.1-pyhd8ed1ab_4.tar.bz2”h+Œ fdca8c7caefdd2db60deddf961db0af4”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/mutpy-0.6.1-pyhd8ed1ab_4.tar.bz2”h0Œ@2834241f17fa61de23086cc04e7daa9dd6a9770d9d6d165a5b64439ecda93728”h2NhNh3(Œastmonkey >=0.2.2”Œjinja2 >=2.7.1”Œpython >=3.6”Œpyyaml >=3.10”Œtermcolor >=1.0.0”t”h9h?h@Œ
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r-sparsepp”h#Œ1.22”h%Œr40_2003”h'MÓhhh(h)hŒ r-sparsepp-1.22-r40_2003.tar.bz2”h+Œ 98c0ca0c174023b95065196b4c3c5071”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepp-1.22-r40_2003.tar.bz2”h0Œ@98d0ffd62fe6cd9a60a6fdd35e9e25304ffef6615a6440e49d6556d3c976ed03”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×¬8Wç¾whEJâÐ hFˆubh)”}”(hŒpwlf”h#Œ2.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒpwlf-2.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ 04ffd72c1b0af526768dbc8892448bc3”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pwlf-2.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@127a9901ffe6dfb42a441d317b2a28a5e89d74c55c0a39de0db52c2d25657a33”h2NhNh3(Œnumpy”Œpydoe >=0.3.8”Œpython”Œscipy >=1.2.0”Œ
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r-dbmodelr”h#Œ0.2.0”h%Œr41haa4b35c_0”h'K hhh(h)hŒ&r-dbmodelr-0.2.0-r41haa4b35c_0.tar.bz2”h+Œ da91f5719ddb08240d5fb131e84b2baf”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dbmodelr-0.2.0-r41haa4b35c_0.tar.bz2”h0Œ@b0d504f768c171db6ce240e1fa655abfa679e1e89bbb6ddc365cb9f7250f6a9d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-blob”Œr-dbi”Œr-purrr”Œr-rlang”Œ	r-rsqlite”Œsqlite >=3.35.5,<4.0a0”t”h9hºh@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAØ,BÙ»ohEJùè hFˆubh)”}”(hŒr-texreg”h#Œ1.38.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-texreg-1.38.6-r42hc72bb7e_1.tar.bz2”h+Œ 728ff2fef1244c1535731cc84aee7819”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-texreg-1.38.6-r42hc72bb7e_1.tar.bz2”h0Œ@f9d0793fd946345b48fd669ff00df6ce3d9d3d60c486e78df3ee5d92e15569c8”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-httr”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑý‘D(öhEJˆ hFˆubh)”}”(hŒr-trust”h#Œ0.1_8”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-trust-0.1_8-r41hc72bb7e_2.tar.bz2”h+Œ 2a98a72e4d47d57ccac366af02d3ea28”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-trust-0.1_8-r41hc72bb7e_2.tar.bz2”h0Œ@830a328f7f5da615d4c6ae3a6bf4926f652ca5d6ebe79ce2de2791b67337d6ff”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÞÛ÷ÏhEJbo hFˆubh)”}”(hŒlibsepol-cos6-x86_64”h#Œ2.0.41”h%Œhdf0574f_102”h'Kfhhh(h)hŒ0libsepol-cos6-x86_64-2.0.41-hdf0574f_102.tar.bz2”h+Œ 043ccec9c3b1b36fa5d18522609a8e54”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsepol-cos6-x86_64-2.0.41-hdf0574f_102.tar.bz2”h0Œ@862420d3286b317b2e33ba5a98a841b33fb70576e6e7c7c5655921e57ddd2d34”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å+DjhEJôÄ hFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-ppc64le”h#Œ1.2.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ<libxscrnsaver-devel-cos7-ppc64le-1.2.2-ha826a6f_1103.tar.bz2”h+Œ 5dfa58d317a882795f71ee11fd908975”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-ppc64le-1.2.2-ha826a6f_1103.tar.bz2”h0Œ@d4bbf97b55ace9391c547f5b4acaff6b8c1228e9302c6419ecd0441ab5cd13a2”h2NhNh3Œ)libxscrnsaver-cos7-ppc64le ==1.2.2 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1sU²-hEM	6hFˆubh)”}”(hŒlibpng-devel-cos7-x86_64”h#Œ1.5.13”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libpng-devel-cos7-x86_64-1.5.13-ha826a6f_1103.tar.bz2”h+Œ c4ef06dd09b454c87c7386256415f81b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-x86_64-1.5.13-ha826a6f_1103.tar.bz2”h0Œ@f4e32acef26e82e2b7f89ec9a7d16f99c2c653876ec62a92e040ca8820badb32”h2NhNh3Œ"libpng-cos7-x86_64 ==1.5.13 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@Œzlib”hBŒOther”hDGA×Æ{À` ÅhEJÁ hFˆubh)”}”(hŒr-shinystan”h#Œ2.6.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-shinystan-2.6.0-r40hc72bb7e_0.tar.bz2”h+Œ 0853f7d679caa8232a207d86cfbac36b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinystan-2.6.0-r40hc72bb7e_0.tar.bz2”h0Œ@11ce26777f627a0c99efc6e2c85d3367863896198ad5c9ae3d70589f5ed329a1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bayesplot >=1.5.0”Œr-colourpicker”Œ
r-dt >=0.2”Œr-dygraphs >=1.1.1.2”Œr-ggplot2 >=2.1.1”Œr-gridextra”Œr-gtools”Œr-markdown >=0.7.4”Œ
r-reshape2”Œr-rsconnect >=0.4.2”Œr-rstan >=2.17.1”Œr-shiny >=1.0.3”Œr-shinyjs >=0.6.0”Œr-shinythemes >=1.0.1”Œr-threejs >=0.2.1”Œr-xtable”Œr-xts >=0.9_7”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØˆI[t¼hEJ>> hFˆubh)”}”(hŒpango-cos6-x86_64”h#Œ1.28.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.pango-cos6-x86_64-1.28.1-hdf0574f_1102.tar.bz2”h+Œ 35b924ea8cfa5796832931761d8364c0”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pango-cos6-x86_64-1.28.1-hdf0574f_1102.tar.bz2”h0Œ@7272328170bdee8864379f62fd33d81db6e7e3b12ea953affb854e24711491fd”h2NhNh3(Œ cairo-cos6-x86_64 >=1.7.6 *_1102”Œ#freetype-cos6-x86_64 >=2.1.3 *_1102”Œ!glib2-cos6-x86_64 >=2.17.3 *_1102”Œ"libthai-cos6-x86_64 >=0.1.9 *_1102”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi»Yë…hEJO hFˆubh)”}”(hŒbrainbox-ibl”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒbrainbox-ibl-1.0.0-py_0.tar.bz2”h+Œ a6e13383acf0e21020afe340d381b2d4”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/brainbox-ibl-1.0.0-py_0.tar.bz2”h0Œ@23e7db64d2cd4b874a6c1fc745ed3d800ab0549cca0224bcabc9c61b30ff064f”h2NhNh3Œpython >=3.0”…”h9h?h@ŒMIT”hBŒMIT”hDGA×WLàAº^hEJâJ hFˆubh)”}”(hŒlibxdamage-devel-cos7-ppc64le”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9libxdamage-devel-cos7-ppc64le-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 58b87a0a318818ffc97930bda665e4ab”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-ppc64le-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@999a67506e81c790208075645f3ed332495d7ae52905f67d01dab1c9034d8d37”h2NhNh3Œ&libxdamage-cos7-ppc64le ==1.1.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|FàQìhEM1hFˆubh)”}”(hŒ	r-plotrix”h#Œ3.8_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-plotrix-3.8_2-r42hc72bb7e_1.tar.bz2”h+Œ 2de4c4b3ba078736708fd41a2b6287e3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-plotrix-3.8_2-r42hc72bb7e_1.tar.bz2”h0Œ@3989f95f36a2328ebb3d74f9f926a443a21bf93aef6fe3cd08f4a3a77813af8d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐI÷l‹hEJÅà hFˆubh)”}”(hŒ	r-rafalib”h#Œ1.0.0”h%Œr351h6115d3f_0”h'K hhh(h)hŒ&r-rafalib-1.0.0-r351h6115d3f_0.tar.bz2”h+Œ 853e1969141f8128566bcd5b54decf6f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rafalib-1.0.0-r351h6115d3f_0.tar.bz2”h0Œ@054ea27a64225765c5d74c33320fb7eda9001ee5f143e5f6be4d03a978a8e6dd”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-rcolorbrewer”†”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA×ÊIšŸ¾hEMühFˆubh)”}”(hŒr-ggparallel”h#Œ0.2.0”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ+r-ggparallel-0.2.0-r41hc72bb7e_1004.tar.bz2”h+Œ 99f0ba020980ed940ab05c0e96c95005”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ggparallel-0.2.0-r41hc72bb7e_1004.tar.bz2”h0Œ@ed4d5295b40305278517f91ca3ad5ed15c61180c7d60798719b3809582ede6ce”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.2.0”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØsW.•hEJÏJ- hFˆubh)”}”(hŒglib-networking-cos6-x86_64”h#Œ2.28.6.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ:glib-networking-cos6-x86_64-2.28.6.1-ha826a6f_1103.tar.bz2”h+Œ f6f29a4326d8f429842b704afa83352c”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/glib-networking-cos6-x86_64-2.28.6.1-ha826a6f_1103.tar.bz2”h0Œ@5180cab43d5bc75b5399186e7781df59f1b4763e79954f9c08fae258babf6699”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{M°A‰hEJ’
 hFˆubh)”}”(hŒ
r-smoothie”h#Œ1.0_3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-smoothie-1.0_3-r42hc72bb7e_1.tar.bz2”h+Œ ec9e86a74b61757d883be59deb31eaa0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-smoothie-1.0_3-r42hc72bb7e_1.tar.bz2”h0Œ@f0606945a3e97a4065d0907cc8e320218dcfab1e13a465d146c507eff608092d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑF{¸A‰hEJÀ0 hFˆubh)”}”(hŒr-runit”h#Œ0.4.32”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ'r-runit-0.4.32-r36h6115d3f_1001.tar.bz2”h+Œ 2486de8d29a7cf5fa092eef47be6a1af”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-runit-0.4.32-r36h6115d3f_1001.tar.bz2”h0Œ@38853ef4d181c2d407f5666f1a6a4974b17709b9655ce06e262eb68ae5c0bb02”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LªÉ/;dhEJ‡– hFˆubh)”}”(hŒr-jfa”h#Œ0.6.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-jfa-0.6.4-r40hc72bb7e_0.tar.bz2”h+Œ 0f9f68170971f5734af157ad735cd6b8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-jfa-0.6.4-r40hc72bb7e_0.tar.bz2”h0Œ@a229084cdea87fd8fe4b319bc199258870d9e2c6d3510d7fe669468e7636ec8b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-extradistr”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØªã4ïKÇhEJ©Ñ hFˆubh)”}”(hŒr-conditionz”h#Œ0.1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ(r-conditionz-0.1.0-r35h6115d3f_0.tar.bz2”h+Œ b2ff2587d7f1504ee0f275ec155bdf6a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-conditionz-0.1.0-r35h6115d3f_0.tar.bz2”h0Œ@e049000b493b8f555c7373e4f03d71f13c677675f8aaedb80e7be03b8c252105”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-r6”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×·ÖŸ|ýôhEM8ùhFˆubh)”}”(hŒr-gwidgetstcltk”h#Œ0.0_55.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ.r-gwidgetstcltk-0.0_55.1-r41hc72bb7e_2.tar.bz2”h+Œ 58cced538c81bd4b97f86567cbfec380”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-gwidgetstcltk-0.0_55.1-r41hc72bb7e_2.tar.bz2”h0Œ@e46a358d6576764a8c66f5ac253bf4609751a4da920cf22d3ecb21f3ef17ffef”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-gwidgets >=0.0_51”Œtk >=8.5”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒj9G®hEJº hFˆubh)”}”(hŒmkdocs-markdownextradata-plugin”h#Œ0.2.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:mkdocs-markdownextradata-plugin-0.2.5-pyhd8ed1ab_0.tar.bz2”h+Œ 7a9e527f42b608fbb8c95424781b5c93”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mkdocs-markdownextradata-plugin-0.2.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d1b98c056478b4f25b0b5a83428db1f92cd9fc9ba07dd43dc4db778d1c1106c8”h2NhNh3Œmkdocs >=0.17”Œpython >=3.5”Œ
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r-sandwich”Œr-zoo”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAÖüqÓ‘hshEJÈ hFˆubh)”}”(hŒr-ggmice”h#Œ0.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-ggmice-0.0.1-r42hc72bb7e_1.tar.bz2”h+Œ 4ac531cb6f6680dc09c0a0a4b8c0a691”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggmice-0.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@db222acf3ca92189a7647310e9f470d459b765f912b45fa1491a574a5218fb78”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
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r-tidybins”Œ
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python >=3”Œ	six >=1.0”Œsympy >=0.7.3”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×š•Üì‹DhEM¥@hFˆubh)”}”(hŒdwavebinarycsp”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)dwavebinarycsp-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 37d5a936dec46df4625aab808d1189ce”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/dwavebinarycsp-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fea86aebcfd218dbfb806321c6666639b52e6d74f8eb812b13d82e003a39fd01”h2NhNh3(Œdimod >=0.10.9,<0.13.0”Œnetworkx >=2.0,<3.0”Œpenaltymodel >=1.0.0,<2.0.0”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ›ep¼1hEM~khFˆubh)”}”(hŒpyquaternion”h#Œ0.9.9”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'pyquaternion-0.9.9-pyhd8ed1ab_1.tar.bz2”h+Œ f7bd4a6a5884808f0c16b108193c497c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pyquaternion-0.9.9-pyhd8ed1ab_1.tar.bz2”h0Œ@ab609caf9e9115af354b177cda674e87fa0dd86dc1cfd6c6160fca9fc843af7d”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÖ«Ñ7LhEMæDhFˆubh)”}”(hŒ	torch-ema”h#Œ0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"torch-ema-0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 6dd613ca2482392cadde87a707631e48”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/torch-ema-0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@5b1da0404d988e68f5581f777e5f5394e4c43a5573e04654eebb3a5463f41562”h2NhNh3Œpython >=3.6”Œpytorch”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ£†‰ãt¼hEMÉ#hFˆubh)”}”(hŒnapari-microscope”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,napari-microscope-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ d7b9d4529865cc5e3d70a453c6b7dd4b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/napari-microscope-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@1d42a973188341a4945d908afbdd8d90bc9146868e4a79a6594b316091838fd6”h2NhNh3(Œ
microscope”Œnapari-plugin-engine”Œpyro4”Œpython >=3.6”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ…ŠVÎùÛhEM.VhFˆubh)”}”(hŒglib2-cos7-x86_64”h#Œ2.56.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.glib2-cos7-x86_64-2.56.1-h9d98e8f_1104.tar.bz2”h+Œ 185e580e24d18c6ca5584488a2190de2”h.Œ\https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-x86_64-2.56.1-h9d98e8f_1104.tar.bz2”h0Œ@2db7bbff9bd9b147a315738cd458971dfd04094a6ed6ecc880bccf6ce96cfe87”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Ézª²n˜hEJa. hFˆubh)”}”(hŒinvoke”h#Œ1.7.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!invoke-1.7.3-pyhd8ed1ab_0.tar.bz2”h+Œ 25045ddd7fe83ddf71c181d6212e9913”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/invoke-1.7.3-pyhd8ed1ab_0.tar.bz2”h0Œ@32421934e708a48d38927eb690dcf7c26856b437b43ca3b7182bb089edaa68af”h2NhNh3Œpython 2.7|>=3.4”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÏºÙº^hEJv2 hFˆubh)”}”(hŒ	r-shinyjs”h#Œ2.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-shinyjs-2.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 33cd452d1bcda1381dedb9db2ead71ad”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-shinyjs-2.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@fb2803911d3179ab56b3887585a7774b148bdd1d92e238902d374fdad956b5bd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest >=0.6.8”Œr-htmltools >=0.2.9”Œ
r-jsonlite”Œr-shiny >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ¯ÊáHhEJ3á hFˆubh)”}”(hŒr-bmp”h#Œ0.3”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ"r-bmp-0.3-r36h6115d3f_1003.tar.bz2”h+Œ fb956293ea5c27d0155e6de60b7c6975”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bmp-0.3-r36h6115d3f_1003.tar.bz2”h0Œ@c8bed1ead6f958984a4839cc875d6528d809a89d001ca98fdd0b825dd613bccd”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬"·éyhEJƒÌ hFˆubh)”}”(hŒretrolab”h#Œ0.3.21”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$retrolab-0.3.21-pyhd8ed1ab_0.tar.bz2”h+Œ fc53463264f9082960a2886e9d3f6b78”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/retrolab-0.3.21-pyhd8ed1ab_0.tar.bz2”h0Œ@8d82ae5c8bf7bb4020328f7723abf9c9af5d632ea6586d2fd36620eaa24c8ce3”h2NhNh3(Œjupyter_server >=1.4,<2”Œjupyterlab >=3.4.0,<4”Œjupyterlab_server >=2.3,<3”Œnbclassic >=0.2,<1”Œpython >=3.7”Œtornado >=6.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØœŽs¬hEJ«E) hFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ'r-mcpan-1.1_21-r42hc72bb7e_1003.tar.bz2”h+Œ a553fcd1a28ed889c50ec43580c11f88”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r42hc72bb7e_1003.tar.bz2”h0Œ@2ac89f953b819be3e9b8eb7b33fb40ad928a601d31333e98175b241c4aecee5f”•       h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓXs©&éhEJ5æ hFˆubh)”}”(hŒ
r-denoiser”h#Œ1.0.2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-denoiser-1.0.2-r40h6115d3f_1.tar.bz2”h+Œ 9342abd3230f2bd658addbd7596d5b52”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-denoiser-1.0.2-r40h6115d3f_1.tar.bz2”h0Œ@bc445aad91410a2fd3258f5d2cb653eae8c16666c8d38239740406561f748c9b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-factominer”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×´c©ìÌÍhEJ¿I hFˆubh)”}”(hŒjtango”h#Œ9.7.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒjtango-9.7.0-hd8ed1ab_0.tar.bz2”h+Œ 9c31abdc950729fa2058ee3edbf35c95”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/jtango-9.7.0-hd8ed1ab_0.tar.bz2”h0Œ@1275ee11e6c046e0f024bf110d8245cfb4c13a0e93d810bee774d6b59a5bb123”h2NhNh3Œopenjdk >=8”…”h9hºh@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ¡Qé\›¦hEJ½jhFˆubh)”}”(hŒhusl”h#Œ4.0.3”h%Œpyh44b312d_0”h'K hhh(h)hŒhusl-4.0.3-pyh44b312d_0.tar.bz2”h+Œ bef34f16a3f37dd3328b1e10522bc8d3”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/husl-4.0.3-pyh44b312d_0.tar.bz2”h0Œ@573faf41f744805a5e195680026499f57e6746b004c20c6dd84176c81db903aa”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ}º;33hEMåhFˆubh)”}”(hŒlibibcm-devel-cos6-x86_64”h#Œ1.0.5”h%Œha826a6f_103”h'Kghhh(h)hŒ4libibcm-devel-cos6-x86_64-1.0.5-ha826a6f_103.tar.bz2”h+Œ bde368e8188d717194036b3cd4184edd”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libibcm-devel-cos6-x86_64-1.0.5-ha826a6f_103.tar.bz2”h0Œ@5406e8a4143ff0616bff845aa1c657e93b2295cbaf8c37b6887508509f24ef30”h2NhNh3Œ!libibcm-cos6-x86_64 ==1.0.5 *_103”Œ(libibverbs-devel-cos6-x86_64 >=1.1 *_103”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Æ1oŒIºhEMÜFhFˆubh)”}”(hŒr-babelgene”h#Œ22.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-babelgene-22.9-r41hc72bb7e_0.tar.bz2”h+Œ 133acf875fe73f82e5798ff0045b0b77”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-babelgene-22.9-r41hc72bb7e_0.tar.bz2”h0Œ@5f598f3516c9a579e17f161f707449ee719e8fbde9a1c8d54334afdbea64f846”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-rlang”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÍÌ†ÙhEJt88 hFˆubh)”}”(hŒr-rapidjsonr”h#Œ1.2.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-rapidjsonr-1.2.0-r42hc72bb7e_2.tar.bz2”h+Œ 9c0ca8df41592876e149ce81318f5118”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rapidjsonr-1.2.0-r42hc72bb7e_2.tar.bz2”h0Œ@0044038e3af95d0a63fc03347a8426dfd641a471ee3893a059807d2e36b9fbf6”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ}Ç‘‰7hEJ­¼ hFˆubh)”}”(hŒr-tmle”h#Œ1.5.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tmle-1.5.0.2-r41hc72bb7e_0.tar.bz2”h+Œ 093701113d7684952d8bf5bc768c7be7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tmle-1.5.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@d1553e6871b2d71bc8aabd6107c6782bb384189eedab84d4e3d506b9b1dc2041”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-glmnet”Œr-superlearner >=2.0”‡”h9hºh@ŒBSD_3_clause | GPL-2”hBŒGPL2”hDGAØM«îk•hEJ6 hFˆubh)”}”(hŒ	r-effsize”h#Œ0.8.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-effsize-0.8.1-r41hc72bb7e_1.tar.bz2”h+Œ 7689091fb26f4632235c702c97f53472”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-effsize-0.8.1-r41hc72bb7e_1.tar.bz2”h0Œ@0fb0118903283d90e48f2adf9456da73e5ecc98c7619a535a49f169617b95079”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ…CK¥ãhEJ12 hFˆubh)”}”(hŒauthlib”h#Œ0.15.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#authlib-0.15.5-pyhd8ed1ab_0.tar.bz2”h+Œ c3f366e1dcf59b5c11b99484afd2916b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/authlib-0.15.5-pyhd8ed1ab_0.tar.bz2”h0Œ@66550656f6548ced85ade1b5d46e7f8d099977a8f78ca4c642ef9ede6e033af6”h2NhNh3Œcryptography”Œpython >=2.7”Œrequests”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ[`rcdZhEJ†¸ hFˆubh)”}”(hŒlibsm-devel-cos6-x86_64”h#Œ1.2.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libsm-devel-cos6-x86_64-1.2.1-ha826a6f_1103.tar.bz2”h+Œ e38abf5a74e12cd883da2b1a456ab041”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos6-x86_64-1.2.1-ha826a6f_1103.tar.bz2”h0Œ@b2b132c33ddb1b957a5337be5dac7ce2ece21c33cef7ac7deaee0a973e94bb70”h2NhNh3Œ libsm-cos6-x86_64 ==1.2.1 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{¥QìhEMn"hFˆubh)”}”(hŒr-stratifyr”h#Œ1.0_3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-stratifyr-1.0_3-r42hc72bb7e_1.tar.bz2”h+Œ 5394a759ed50882b9fd122189b556361”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-stratifyr-1.0_3-r42hc72bb7e_1.tar.bz2”h0Œ@e7d92daca451014576ac76d2571fcbf03239f1d4fdfa59721f4449852aae4c1c”h2NhNh3(Œr-actuar”Œr-base >=4.2,<4.3.0a0”Œr-fitdistrplus”Œr-mc2d”Œ
r-triangle”Œr-zipfr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑþ_gïžhEJŒÀ hFˆubh)”}”(hŒanaconda-project”h#Œ0.11.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,anaconda-project-0.11.1-pyhd8ed1ab_0.tar.bz2”h+Œ 85406089db6aa63ee45da8e9f0b966b6”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/anaconda-project-0.11.1-pyhd8ed1ab_0.tar.bz2”h0Œ@5025ff5066e4a8765ca35bb4f6145f188b249634090236c8beb25f3fb5ed4874”h2NhNh3(Œanaconda-client”Œ
conda-pack”Œjinja2”Œpython >=3.6”Œrequests”Œruamel_yaml”Œtornado >=4.2”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¼§ ~hEJL„ hFˆubh)”}”(hŒlibxcb-cos6-x86_64”h#Œ1.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-libxcb-cos6-x86_64-1.12-h9b0a68f_1105.tar.bz2”h+Œ 657f56a7df04d422c7da5d20f32b1d91”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos6-x86_64-1.12-h9b0a68f_1105.tar.bz2”h0Œ@3d2ee9ac9aa8246adfb805e34dc43341627fd921f37095604915ec48d4088aa0”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@U…|Ý/hEJæ hFˆubh)”}”(hŒ
elektronn2”h#Œ0.6.0”h%Œpy_1000”h'Mèhhh(h)hŒ elektronn2-0.6.0-py_1000.tar.bz2”h+Œ 5fdd96e14412f229dc7f1c4413f99cc2”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/elektronn2-0.6.0-py_1000.tar.bz2”h0Œ@2274a681bb36e75b85f3d5e5cbdabc79066ac404dbbdd7f5eaeab9b30a051728”h2NhNh3(Œcolorlog”Œfuture”Œh5py”Œipython”Œjedi”Œ
matplotlib”Œnumba”Œnumpy”Œprompt_toolkit <2”Œpsutil”Œ	pydotplus”Œpython <3.7”Œscikit-image”Œscikit-learn”Œscipy”Œseaborn”Œtheano <0.10”Œtqdm”t”h9h?h@ŒGPLv3”hDGA×ŠÓï‘hhEJÌZ hFˆubh)”}”(hŒavidaq”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!avidaq-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 4a73d72a0298fdd40fe1847d60181f66”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/avidaq-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@64766753d77b65abadf300c889fd8dccd037d3ce8386a1574eebb5a6ea59e3aa”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpycromanager”Œpython >=3.8”Œqtpy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÅ¦E¸hEMZohFˆubh)”}”(hŒr-emdist”h#Œ0.3_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-emdist-0.3_2-r42hc72bb7e_1.tar.bz2”h+Œ 0a5cafcd1f42c6fda149db82b7cc53e0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-emdist-0.3_2-r42hc72bb7e_1.tar.bz2”h0Œ@38cfe65791bb679c7aa2f4a07edc1afe531d4cedf6c9ed2c4c66a2d234d22a34”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ…cC–hEMT‡hFˆubh)”}”(hŒr-assertive.numbers”h#Œ0.0_2”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ2r-assertive.numbers-0.0_2-r40h6115d3f_1003.tar.bz2”h+Œ 90eaad019bc7a32fc024d32f668d1806”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.numbers-0.0_2-r40h6115d3f_1003.tar.bz2”h0Œ@6c3c91e68ca3b0fda9c3cfab26fba1cf562e95724ce91288b9a807c530026b51”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=4.0,<4.1.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«ß‡iûçhEJË¯ hFˆubh)”}”(hŒ	r-jcolors”h#Œ0.0.4”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ%r-jcolors-0.0.4-r40hc72bb7e_2.tar.bz2”h+Œ 3ac5478c1afcfaaca74c0baabf31c4ba”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-jcolors-0.0.4-r40hc72bb7e_2.tar.bz2”h0Œ@57e6e49bb5b2583583afcc81107f3370dae8669678a97b3851fae3d61fe7bbb2”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=3.0.0”Œr-scales”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+«lb°!hEJÆ hFˆubh)”}”(hŒdjango-cruds-adminlte”h#Œ0.0.16”h%Œpy_0”h'K hhh(h)hŒ)django-cruds-adminlte-0.0.16-py_0.tar.bz2”h+Œ a09b088e84d77fc07ab37989ff4640c8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/django-cruds-adminlte-0.0.16-py_0.tar.bz2”h0Œ@5591213fb57f444612c7ee1e9a1f83bcc2f6c6e07abe3ff2ce5190f39dba222e”h2NhNh3Œdjango-crispy-forms”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×,¬©ÂñªhEJ(P hFˆubh)”}”(hŒnspr-cos7-ppc64le”h#Œ4.21.0”h%Œh1795305_1101”h'MMhhh(h)hŒ.nspr-cos7-ppc64le-4.21.0-h1795305_1101.tar.bz2”h+Œ c21991b931255bd3387ec120e7729d8b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-ppc64le-4.21.0-h1795305_1101.tar.bz2”h0Œ@fab2d31ed06686782503fd1528c60c4e24c9924b53a65252dee44ae7b96bc3a3”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇvÒMÓhEJ{7 hFˆubh)”}”(hŒlibuuid-devel-cos7-ppc64le”h#Œ2.23.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libuuid-devel-cos7-ppc64le-2.23.2-h9d98e8f_1104.tar.bz2”h+Œ c3e1f0e0a15c95701287b8e2a5c550e5”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-ppc64le-2.23.2-h9d98e8f_1104.tar.bz2”h0Œ@1d5e5eb8d72769370c9d9227cabba54b1751b71aa5705613371efda31606e145”h2NhNh3Œ$libuuid-cos7-ppc64le ==2.23.2 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×É|ÆffhEMwXhFˆubh)”}”(hŒfribidi-cos7-x86_64”h#Œ1.0.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/fribidi-cos7-x86_64-1.0.2-h9b0a68f_1105.tar.bz2”h+Œ f939a6e50894601a4ad281ab789ea8e0”h.Œ]https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-x86_64-1.0.2-h9b0a68f_1105.tar.bz2”h0Œ@6165ad40f77234ec6ff68d9223f35b5db87f1ab6c5aa1efbad4bd2885e37cfd9”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGAØ@f}Ù‰7hEJÉ2 hFˆubh)”}”(hŒsphinx-fortran”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)sphinx-fortran-1.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1705e218f337777eb616c081a9db9ab6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sphinx-fortran-1.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d70c5027cdb83c8c013d26bbfc6201df883ba2d8473fd357f1234b169e19c2a9”h2NhNh3(Œfuture”Œnumpy >=1.0”Œpython >=3.6”Œsix”Œsphinx >=1.0”t”h9h?h@Œ
CECILL-2.1”hDGAØ§(#ðõÃhEMÜ‘hFˆubh)”}”(hŒpkgconfig-cos7-ppc64le”h#Œ0.27.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3pkgconfig-cos7-ppc64le-0.27.1-h9d98e8f_1104.tar.bz2”h+Œ 2a41be2e4bc9c606115adca4a754b527”h.Œahttps://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-ppc64le-0.27.1-h9d98e8f_1104.tar.bz2”h0Œ@462c1c72fb64412c4406b02c6655e645a14ca7efdc961336c59dfa1aa99896d4”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×É{¼Ý/hEMúÒhFˆubh)”}”(hŒ	r-pkgload”h#Œ1.3.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-pkgload-1.3.2-r42hc72bb7e_0.tar.bz2”h+Œ 6f26be1270b048179406549e26fb01ae”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pkgload-1.3.2-r42hc72bb7e_0.tar.bz2”h0Œ@931e7c6591f61d0b3c13f13fd56776350ab316f07a1f68cc6d140413107dcfe4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli >=3.3.0”Œr-crayon”Œr-desc”Œr-fs”Œr-glue”Œr-rlang >=1.0.3”Œr-rprojroot”Œr-withr >=2.4.3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÝWóùÛhEJ] hFˆubh)”}”(hŒcups-libs-cos6-x86_64”h#Œ1.4.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ1cups-libs-cos6-x86_64-1.4.2-ha826a6f_1103.tar.bz2”h+Œ dc761a1c251b40808aa26feece1bafb1”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos6-x86_64-1.4.2-ha826a6f_1103.tar.bz2”h0Œ@0ff490408570231114d340e42c9a8c14f2e3226946c7d0f40fa9ee077b31d27a”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{U‘hhEJnš hFˆubh)”}”(hŒpytest-freezegun”h#Œ0.4.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+pytest-freezegun-0.4.2-pyh9f0ad1d_0.tar.bz2”h+Œ 0c92300277b2b891c116a14315c0f927”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pytest-freezegun-0.4.2-pyh9f0ad1d_0.tar.bz2”h0Œ@68a1023a203fe0a66bcebd42ea3256d8eda36e7274f0c4ceeb149b5f54bdf1fb”h2NhNh3Œfreezegun >0.3”Œpytest >=3.0.0”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ÅZÍ   hEMähFˆubh)”}”(hŒ	r-spatest”h#Œ3.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-spatest-3.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 9c9949582cd8f68d48befc1cfaa0607a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spatest-3.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@b2d89a1323c6dddd3f8d8de107ba4b69f9d5c3254fcaf0c224f912d408f612e7”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ*ñ‘%hEJò	 hFˆubh)”}”(hŒxlrd”h#Œ2.0.1”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒxlrd-2.0.1-pyhd8ed1ab_3.tar.bz2”h+Œ 97dfcd5ff030d829b55f67e82f928093”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/xlrd-2.0.1-pyhd8ed1ab_3.tar.bz2”h0Œ@a97030fc6cde1a335c035392db47efdb4add7d1db76a11b4bfac6ec7fc42bfe5”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause AND BSD-4-Clause”hBŒBSD”hDGA×þ„Üï;dhEJwo hFˆubh)”}”(hŒcensus-parquet”h#Œ0.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)census-parquet-0.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ f7cef85ed1f2ebb1e15124f264049b6f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/census-parquet-0.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@852be88cfe0c028d9e7fa5f519a65dcfbc5031dfce2839777950a57a80eeb36e”h2NhNh3(Œclick”Œdask-geopandas”Œdistributed”Œfiona”Œopenpyxl”Œpyarrow”Œpython >=3.8”Œunzip”Œwget”t”h9h?h@ŒMIT”hBŒMIT”hDGAØµk‹±º^hEMÔ-hFˆubh)”}”(hŒpython-barcode”h#Œ0.13.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*python-barcode-0.13.1-pyh9f0ad1d_0.tar.bz2”h+Œ c1fcf72b8bfc9f39fa126d4c746a7cbc”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/python-barcode-0.13.1-pyh9f0ad1d_0.tar.bz2”h0Œ@039a7701f5cc856b987348f549ccc5b67a94cd2987e306444530e880cfc9351b”h2NhNh3Œpillow”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ÐP¡-hEJ8h hFˆubh)”}”(hŒ
r-metaplus”h#Œ1.0_4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-metaplus-1.0_4-r42hc72bb7e_1.tar.bz2”h+Œ 547c9fcb2d45cac9c87619379d62941e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-metaplus-1.0_4-r42hc72bb7e_1.tar.bz2”h0Œ@465237ca541a61f8fc5f8956612ecf338360d72537a98759d64615019ec32027”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bbmle”Œr-boot”Œr-doparallel”Œr-dorng”Œr-fastghquad”Œ	r-foreach”Œr-lme4”Œr-mass”Œ	r-metafor”Œ
r-numderiv”Œr-rfast”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒòÒ“•hEJ‘) hFˆubh)”}”(hŒr-unireg”h#Œ1.1”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ%r-unireg-1.1-r40h6115d3f_1003.tar.bz2”h+Œ 1000ff28d1ddec036d88e4d871907601”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-unireg-1.1-r40h6115d3f_1003.tar.bz2”h0Œ@2014959deb2e1f578ec7c9ce5fc0c8cec82981b8ee506b73d5c6e0950f7a506d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dosefinding”Œr-mass”Œ	r-mvtnorm”Œ
r-quadprog”Œr-sel”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬ ™-hEJ9 hFˆubh)”}”(hŒ
r-tidybins”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-tidybins-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ cf1025809f925059affea1c2b36d8ad0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidybins-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@e14b34120b4e4fb7bfed13a6b73dac5439c0faf6e9f1aa47865e342840c207ad”h2NhNh3(Œr-badger”Œr-base >=4.1,<4.2.0a0”Œ
r-clusterr”Œr-dplyr”Œr-framecleaner”Œ	r-ggplot2”Œ	r-janitor”Œr-lubridate”Œ
r-magrittr”Œr-oner”Œr-purrr”Œr-rlang”Œr-rlist”Œr-scales”Œr-strex”Œ	r-stringr”Œr-tibble”Œr-tidyselect”Œ	r-xgboost”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¨eGèA‰hEJŠ€ hFˆubh)”}”(hŒr-assertive.sets”h#Œ0.0_3”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ/r-assertive.sets-0.0_3-r41hc72bb7e_1004.tar.bz2”h+Œ f183d9c9b45779aef0daaae2d4083419”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.sets-0.0_3-r41hc72bb7e_1004.tar.bz2”h0Œ@9fc9058427f9bd0a0076a31bb77fefbf3b56ca0de6883d2fe46f03cfd99ad3b4”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ9ß¬›¦hEMhFˆubh)”}”(hŒlibdrm-devel-cos6-x86_64”h#Œ2.4.65”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4libdrm-devel-cos6-x86_64-2.4.65-hdf0574f_102.tar.bz2”h+Œ f91276d1dfa5b63962dbabd7fc7c35b9”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos6-x86_64-2.4.65-hdf0574f_102.tar.bz2”h0Œ@ed68bc2feee24171dda8d0fa5e7726870e37a486feb0f03cf4c961c5093b97ac”h2NhNh3Œ)kernel-headers-cos6-x86_64 >=2.6.27 *_102”Œ!libdrm-cos6-x86_64 ==2.4.65 *_102”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+Q;dhEJ'= hFˆubh)”}”(hŒr-pathdiagram”h#Œ0.1.9.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-pathdiagram-0.1.9.1-r41hc72bb7e_1.tar.bz2”h+Œ 7793e69db306670ec36c3030698a9774”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-pathdiagram-0.1.9.1-r41hc72bb7e_1.tar.bz2”h0Œ@59e8a2fe30a0dce04d62d6c64da08444498da00b7ac1a68b4661e54082324b4e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-shape”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+ï¾whEJâº hFˆubh)”}”(hŒhrds”h#Œ0.1.1”h%Œpy_1”h'Khhh(h)hŒhrds-0.1.1-py_1.tar.bz2”h+Œ 886f0d13e83de77cfb7bfd58ea0d57db”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/hrds-0.1.1-py_1.tar.bz2”h0Œ@150df753220c60cd21e5d818a3b4af7661e5703515472143dbd3d4636ac9da07”h2NhNh3(Œgdal”Œnumpy”Œpython”Œscipy”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×TYÝ™šhEMÂahFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-tfautograph-0.3.2-r40hc72bb7e_1.tar.bz2”h+Œ 4691240bd09e62bd5277faf1212193c9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r40hc72bb7e_1.tar.bz2”h0Œ@09be6121f3642413b787fb745b30a84e18f909491709da078a16fe8b7bfd62a3”h2NhNh3Œr-backports”Œr-base >=4.0,<4.1.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¦¾el9XhEJ‹Ê hFˆubh)”}”(hŒr-shadowtext”h#Œ0.1.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-shadowtext-0.1.2-r40hc72bb7e_0.tar.bz2”h+Œ cdeb07c400e079cb8238701daad94ae3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shadowtext-0.1.2-r40hc72bb7e_0.tar.bz2”h0Œ@84374865eec59a1e4b03442e16530cc94e36a8f8e4e7f02680f388f9fe9662a2”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-scales”‡”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ˜­­T‹DhEJâÑ hFˆubh)”}”(hŒr-tuneranger”h#Œ0.5”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-tuneranger-0.5-r40hc72bb7e_1.tar.bz2”h+Œ e28e9d11f9d4ad152b753bb1e8569045”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tuneranger-0.5-r40hc72bb7e_1.tar.bz2”h0Œ@e2572919d63aa1a14bc6500bd4cd761a0f96ef8dc6197292bcfc6bc249e3cda7”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bbmisc >=1.11”Œr-dicekriging >=1.5.5”Œr-lhs >=0.14”Œr-lubridate >=1.6.0”Œr-mlr >=2.11”Œr-mlrmbo >=1.1.1”Œr-paramhelpers >=1.10”Œr-ranger >=0.8.0”Œr-smoof >=1.5.1”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ,ÎÓ hEJ= hFˆubh)”}”(hŒr-manipulate”h#Œ1.0.1”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ+r-manipulate-1.0.1-r35h6115d3f_1002.tar.bz2”h+Œ 364e1fd5e88c7a14d716c8dfc165e370”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-manipulate-1.0.1-r35h6115d3f_1002.tar.bz2”h0Œ@264513d237fc4be251947fdbcfdbabb81ad06416e6578d87523671ac1be2e0ad”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Lr.dZhEMQÝhFˆubh)”}”(hŒ
r-writexls”h#Œ6.4.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-writexls-6.4.0-r40hc72bb7e_0.tar.bz2”h+Œ 3c771bda4386211dc7d5a6cc5c0076aa”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-writexls-6.4.0-r40hc72bb7e_0.tar.bz2”h0Œ@e4da61e8aa40cb8c3c4d30fbe4bb6c7fdefc590a17e8f9e3e48c6db6103e539d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ†Ìó¶hEJëi	 hFˆubh)”}”(hŒsphinxcontrib-versioning”h#Œ2.2.1”h%Œpy_0”h'K hhh(h)hŒ+sphinxcontrib-versioning-2.2.1-py_0.tar.bz2”h+Œ 4a21815669d3f9313b32cf98bd32c27e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-versioning-2.2.1-py_0.tar.bz2”h0Œ@0693af063d30d300014919ec6d3d69c771e196fdc747ae77b1ac0530af94e42b”h2NhNh3(Œclick”Œ
colorclass”Œpython”Œsphinx”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÜc'ß;hEM}bhFˆubh)”}”(hŒlibxml2-cos7-ppc64le”h#Œ2.9.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/libxml2-cos7-ppc64le-2.9.1-h9b0a68f_105.tar.bz2”h+Œ fb19b66177513e071f15e6f4a15dfd64”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-ppc64le-2.9.1-h9b0a68f_105.tar.bz2”h0Œ@b19d4dab30a78744e4a73406a9d2a54874d42f7639db6609ccedca641b34e6fd”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡aþéyhEJI; hFˆubh)”}”(hŒr-gsalib”h#Œ2.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-gsalib-2.2.1-r42hc72bb7e_1.tar.bz2”h+Œ c03136280963ff7b32afa4b2f51fba95”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gsalib-2.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@e8dcc34fba274b46bd34e43806dead3b3220d13a2bc30cb716052344eb42b275”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒjâ^5hEME”hFˆubh)”}”(hŒqtpynodeeditor”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ!qtpynodeeditor-0.2.0-py_0.tar.bz2”h+Œ cd70673fadd789ee560f8cf8f8c6fef0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/qtpynodeeditor-0.2.0-py_0.tar.bz2”h0Œ@fe265525f01f6ed8a502a6a9eb89e16ffa7e02563e9e947d052ee61ebdcc9334”h2NhNh3(Œpyqt”Œpython >=3.6”Œqt”Œqtpy”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×Ôg,Ý/hEMG hFˆubh)”}”(hŒ	r-rematch”h#Œ1.0.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-rematch-1.0.1-r36h6115d3f_1002.tar.bz2”h+Œ 0154ca5d7150dd4b3bb49868dd511810”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rematch-1.0.1-r36h6115d3f_1002.tar.bz2”h0Œ@536de87738257a5c38bedeaa7f5246545cd1303f1d4e5ed1b071c11a1969bdcd”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×K·°ÛÆ¨hEMçGhFˆubh)”}”(hŒr-matrixeqtl”h#Œ2.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-matrixeqtl-2.3-r41hc72bb7e_2.tar.bz2”h+Œ 719151f8f1e0d6f9a422880f0b09cff3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-matrixeqtl-2.3-r41hc72bb7e_2.tar.bz2”h0Œ@16f68d1a49f6baf728190da2ccdc209629c66dd08e2be2b206cc4006b608d2b9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGAØÒS*lzáhEJ¿@ hFˆubh)”}”(hŒ	r-mdscore”h#Œ0.1_3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-mdscore-0.1_3-r42hc72bb7e_1.tar.bz2”h+Œ 4bbb0e0355195031a84ad8553b731dd5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mdscore-0.1_3-r42hc72bb7e_1.tar.bz2”h0Œ@7002ae7ac70ea2da9005a2629b41a7f4cdbc41e3fe856a11542586a77e105df9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ¢:=qhEMuÏhFˆubh)”}”(hŒr-listarrays”h#Œ0.3.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-listarrays-0.3.1-r41hc72bb7e_2.tar.bz2”h+Œ d01c3b6d157be6017349f07421b44be6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-listarrays-0.3.1-r41hc72bb7e_2.tar.bz2”h0Œ@4fb3de5891ac0efb762b6c6da723c671d003ea0eca52ccc9cb2ac5eaa9f87efd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒYÏYhshEJjÓ hFˆubh)”}”(hŒr-glmnetutils”h#Œ1.1.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-glmnetutils-1.1.8-r40hc72bb7e_0.tar.bz2”h+Œ e4c0aef7ccafacae25fc461d79f6c5a5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-glmnetutils-1.1.8-r40hc72bb7e_0.tar.bz2”h0Œ@0abc46b7f9f005f28220c82e52688181fb452119dc6a7d2f44421a801fb72628”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-glmnet”Œr-matrix”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ÷¼ÓçmhEJ*Ü hFˆubh)”}”(hŒgoogle-auth”h#Œ1.35.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ'google-auth-1.35.0-pyh6c4a22f_0.tar.bz2”h+Œ e9e51ec25b36547a4192a1953df66a8c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/google-auth-1.35.0-pyh6c4a22f_0.tar.bz2”h0Œ@1b6690da2eb8026255c22024ef29c0c5c4bfd03d7ebb2be588ec6e6e0d3fedef”h2NhNh3(Œaiohttp >=3.6.2,<4.0.0dev”Œcachetools >=2.0.0,<5.0”Œpyasn1-modules >=0.2.1”Œpyopenssl >=20.0.0”Œpython >=3.6”Œpyu2f >=0.1.5”Œrequests >=2.20.0,<3.0.0dev”Œrsa >=3.1.4,<5”Œsetuptools >=40.3.0”Œsix >=1.9.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØGF'KÇhEJ~D hFˆubh)”}”(hŒr-tfprobability”h#Œ0.15.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-tfprobability-0.15.1-r41hc72bb7e_0.tar.bz2”h+Œ 68bb5221fbb7d678e3caf004bba5b6cd”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tfprobability-0.15.1-r41hc72bb7e_0.tar.bz2”h0Œ@52f3ef6b26adf40463f8cd6cd417d087fe06064411bf1ec3593c15d6d43c4897”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-keras”Œ
r-magrittr”Œr-reticulate”Œr-tensorflow >=2.2.0”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÄ0M›SøhEJVp! hFˆubh)”}”(hŒlibice-devel-cos7-ppc64le”h#Œ1.0.9”h%Œ
h1341992_1”h'Khhh(h)hŒ2libice-devel-cos7-ppc64le-1.0.9-h1341992_1.tar.bz2”h+Œ b16abc5341b66b3b68212b0b3d0ce834”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-ppc64le-1.0.9-h1341992_1.tar.bz2”h0Œ@8a2f165a7f1579fc482ccac2149f52b5c22733566b7ba9d5ec3327c8576bbed5”h2NhNh3Œ$libice-cos7-ppc64le 1.0.9 h1341992_1”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×£ã€JÐåhEM¯›hFˆubh)”}”(hŒ
r-lfactors”h#Œ1.0.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-lfactors-1.0.4-r41hc72bb7e_1.tar.bz2”h+Œ 156dbb9b96bf14155bc7fce5a4c706e1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lfactors-1.0.4-r41hc72bb7e_1.tar.bz2”h0Œ@5cd3d0f3c654fb3d34809ec8800654071093f5e7d0d86d0049257b790ac176e8”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ¢}¬9XhEJ¢! hFˆubh)”}”(hŒr-rcppprogress”h#Œ0.4.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ*r-rcppprogress-0.4.2-r35h6115d3f_0.tar.bz2”h+Œ 26ddaeb5081c52633ec4acf69dd16031”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rcppprogress-0.4.2-r35h6115d3f_0.tar.bz2”h0Œ@0c44d48eb3b30edb9fba035fb1e05494dfabc610b7dc78b9f9e50e58249c4260”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×R%¸hEMƒ“hFˆubh)”}”(hŒr-sweidnumbr”h#Œ1.4.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-sweidnumbr-1.4.2-r40hc72bb7e_1.tar.bz2”h+Œ 4c5f5cac420f9dd3e48628247a938c2c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sweidnumbr-1.4.2-r40hc72bb7e_1.tar.bz2”h0Œ@3eeaa78bf10f1837aa5e6f2b5d12d1db300d5bc73380da21298c93903ff9d3d4”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-checkmate”Œr-lubridate >=1.5”Œ	r-stringr”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØ+A¬ÀÔþhEJz‘ hFˆubh)”}”(hŒalgopy”h#Œ0.5.7”h%Œpy_0”h'K hhh(h)hŒalgopy-0.5.7-py_0.tar.bz2”h+Œ e13c33a471c233bdd2521e39e2b9df7f”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/algopy-0.5.7-py_0.tar.bz2”h0Œ@c342887e6581d64e2c71e5367a5ce0d14c3e07bd0c7db5a15a09560f0c5c846f”h2NhNh3Œnumpy”Œpython”Œscipy”‡”h9h?h@ŒBSD”hBŒBSD”hEJrD hFˆubh)”}”(hŒawslogs”h#Œ0.14.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#awslogs-0.14.0-pyh9f0ad1d_0.tar.bz2”h+Œ cc5c640e954b94d66e7d86187435879b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/awslogs-0.14.0-pyh9f0ad1d_0.tar.bz2”h0Œ@04e20de86f82ca493d2bac669f524baca5e2966f992ff63302fd3bb30ccebcbb”h2NhNh3(Œboto3 >=1.2.1”Œjmespath >=0.7.1,<1.0.0”Œpython”Œpython-dateutil >=2.4.0”Œ
setuptools”Œtermcolor >=1.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÂT9XhEM">hFˆubh)”}”(hŒr-aws.ec2metadata”h#Œ0.2.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ-r-aws.ec2metadata-0.2.0-r35h6115d3f_0.tar.bz2”h+Œ 86b262a45c64f9f76bb5e0d1c9c8aa6f”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-aws.ec2metadata-0.2.0-r35h6115d3f_0.tar.bz2”h0Œ@923f42bb061a0e2746a6b389197a6230324b58fb2a7f26b66b6dbaba7ebcb539”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-curl”Œ
r-jsonlite”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×S¢3ç hEM…yhFˆubh)”}”(hŒdonfig”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!donfig-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6525d6181a956edcafffc58b124ce2bc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/donfig-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0855f410e1c560d5c99b6d895d70470e112a2631905dbe127e2f37e36a4b90e4”h2NhNh3Œpython >=3.6”Œpyyaml”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ…5ùÊÁhEM~FhFˆubh)”}”(hŒproperty-cached”h#Œ1.6.4”h%Œpy_0”h'K hhh(h)hŒ"property-cached-1.6.4-py_0.tar.bz2”h+Œ a2595eeb1eb6d3ea08c657c69db60cd4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/property-cached-1.6.4-py_0.tar.bz2”h0Œ@254317875bd3cc89b55ca5988612bce43df4e93ac38cdd19d60e231538b4bc80”h2NhNh3Œpython >=3.5”Œsetuptools >=39.2”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×˜¨ùí`BhEMÛ#hFˆubh)”}”(hŒr-homomorpher”h#Œ0.2_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-homomorpher-0.2_2-r40hc72bb7e_0.tar.bz2”h+Œ 66111d76067bfc6f29a08304f1493bac”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-homomorpher-0.2_2-r40hc72bb7e_0.tar.bz2”h0Œ@1f1b272133ce2a791bc1e56dd8e40b3e6ad242d85364b1cd01e1c83281eb0e05”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-gmp”Œr-r6”Œr-sodium”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ%•]’áHhEJA¬ hFˆubh)”}”(hŒpyroute2.nslink”h#Œ0.6.13”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ+pyroute2.nslink-0.6.13-pyhd8ed1ab_1.tar.bz2”h+Œ 303c023fc0a699b67485d2564faec84a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pyroute2.nslink-0.6.13-pyhd8ed1ab_1.tar.bz2”h0Œ@37231017e6d166091e219cf9b42d9d222dfaf45d7a396d4c22d3e29aabd311d9”h2NhNh3Œpyroute2.core”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ×ài§ hEMxhFˆubh)”}”(hŒ
r-dbmodelr”h#Œ0.2.0”h%Œr36haa4b35c_0”h'K hhh(h)hŒ&r-dbmodelr-0.2.0-r36haa4b35c_0.tar.bz2”h+Œ a2f44f082215096efce9f1cd40ef09b2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dbmodelr-0.2.0-r36haa4b35c_0.tar.bz2”h0Œ@0f7aa3892c0233ff0027416b2de96395b4dd9e83ef55fa24fd2c7a7b62c85c3e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-blob”Œr-dbi”Œr-purrr”Œr-rlang”Œ	r-rsqlite”Œsqlite >=3.35.5,<4.0a0”t”h9hºh@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAØ(è1'hEJ¶ hFˆubh)”}”(hŒgoogle-auth-oauthlib”h#Œ0.5.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/google-auth-oauthlib-0.5.3-pyhd8ed1ab_0.tar.bz2”h+Œ 59c47019bc497f23971b2e4802da18b6”h.Œ]https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-0.5.3-pyhd8ed1ab_0.tar.bz2”h0Œ@467f42366eb7d0ba2ab76caa17cae9940fa5cb35cae3ee20a35d6923d74a263c”h2NhNh3(Œclick >=6.0.0”Œgoogle-auth >=1.0.0”Œpython >=3.6”Œrequests-oauthlib >=0.7.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÈ¨‘†hEM<ShFˆubh)”}”(hŒemails”h#Œ0.6”h%Œpy_0”h'K hhh(h)hŒemails-0.6-py_0.tar.bz2”h+Œ 39238c52ea730f7f69478a51dcfa4dee”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/emails-0.6-py_0.tar.bz2”h0Œ@8593b60f3314e8ca6346f8e7d54ebe76622f03ab550b968c01c0eb3a9d1ed230”h2NhNh3(Œchardet”Œcssutils”Œlxml”Œ	premailer”Œpython >=2.6”Œpython-dateutil”Œrequests”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×»0ráxÕhEM–°hFˆubh)”}”(hŒmoto”h#Œ3.1.18”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ moto-3.1.18-pyhd8ed1ab_0.tar.bz2”h+Œ 8a78799a903d49dde05b90d830a96b1a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/moto-3.1.18-pyhd8ed1ab_0.tar.bz2”h0Œ@f486e3194ec2d1eb5aa8958e3e2d9b06c4144a4c473e9c8376f546ce86039928”h2NhNh3(Œaws-xray-sdk !=0.96,>=0.93”Œboto3 >=1.9.201”Œbotocore >=1.12.201”Œcfn-lint >=0.4.0”Œcryptography >=3.3.1”Œdocker-py >=2.5.1”Œflask”Œ
flask_cors”Œgraphql-core”Œidna >=2.5,<4”Œimportlib_metadata”Œjinja2 >=2.10.1”Œjsondiff >=1.1.2”Œopenapi-spec-validator”Œpython >=3.3”Œpython-dateutil >=2.1,<3.0.0”Œpython-jose >=3.1.0,<4.0.0”Œpytz”Œpyyaml >=5.1”Œrequests >=2.5”Œresponses >=0.9.0”Œ
setuptools”Œsshpubkeys >=3.1.0”Œwerkzeug <2.2.0,>=0.5”Œ	xmltodict”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ½ÀáÊŸ¾hEJpE hFˆubh)”}”(hŒhdxrate”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"hdxrate-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ d3aaba52fd3d4ad2fe90230170bea7d8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/hdxrate-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f26a40dcbf37bf66df74edc1805459f5f947a0587feaf0e1bd0aa5c5f4d1ab45”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×ö+XO;dhEMÕ^hFˆubh)”}”(hŒr-plot3d”h#Œ1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-plot3d-1.4-r42hc72bb7e_1.tar.bz2”h+Œ 9107474a565f9d5c68691e04d0134a76”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-plot3d-1.4-r42hc72bb7e_1.tar.bz2”h0Œ@5b2b33a47bbbad86681b4a9780bb1d619ecd0278f27ec31a0ca07854ac0de559”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-misc3d”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐ\¸/²hEJñG+ hFˆubh)”}”(hŒdask-mpi”h#Œ2022.4.0”h%Œpyh458ca06_2”h'Khhh(h)hŒ&dask-mpi-2022.4.0-pyh458ca06_2.tar.bz2”h+Œ badb2b01ffca59a821b36363dcadf2a6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/dask-mpi-2022.4.0-pyh458ca06_2.tar.bz2”h0Œ@c6477b756bf88e8e78f39a65121b70dbb516e92ccceb726dceaaddc43ad28058”h2NhNh3Œdistributed >=2.2.0”Œmpi4py”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ–%[æ—hEM4hFˆubh)”}”(hŒr-leafem”h#Œ0.2.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ$r-leafem-0.2.0-r42h785f33e_1.tar.bz2”h+Œ e56f3739e9d413a5391d5f9accc18bd3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafem-0.2.0-r42h785f33e_1.tar.bz2”h0Œ@b051795b4b66c60d8cfbf5ca0f33bf6f39ecb2cef6e89a3b55abb4bedd8c287b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-htmltools >=0.3”Œr-htmlwidgets”Œr-leaflet >=2.0.1”Œ	r-mapdeck”Œr-png”Œr-raster”Œr-scales >=1.0.0”Œr-sf”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ;ÂhEJú3 hFˆubh)”}”(hŒnlp”h#Œ0.4.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒnlp-0.4.0-pyh9f0ad1d_0.tar.bz2”h+Œ 4fac44fd1defda0b8f302c7710767571”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/nlp-0.4.0-pyh9f0ad1d_0.tar.bz2”h0Œ@520f260fee25f3623ad617cb1be28f68ddd319654b8a0806e9280d1e4e16de7c”h2NhNh3(Œdataclasses”Œdill”Œfilelock”Œnumpy”Œpandas”Œpyarrow >=0.16.0”Œpython”Œpython-xxhash”Œrequests >=2.19.0”Œtqdm >=4.27”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×Ë{SçmhEJçU hFˆubh)”}”(hŒpyathena”h#Œ2.14.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pyathena-2.14.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8982ec9338322aac664a54976318e5dd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyathena-2.14.0-pyhd8ed1ab_0.tar.bz2”h0Œ@431c7223ce20ca2e58287d0420b2c50a9613364e6b6cda27c2d73a40d3f3b2c7”h2NhNh3(Œboto3 >=1.4.4”Œbotocore >=1.5.52”Œpython >=3.6”Œ
setuptools”Œ
sqlalchemy”Œtenacity >=4.1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¾¦ \¬hEM8²hFˆubh)”}”(hŒgit-filter-repo”h#Œ2.38.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+git-filter-repo-2.38.0-pyhd8ed1ab_0.tar.bz2”h+Œ 505eadb013f6ee3eddda57a74cdc8d11”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/git-filter-repo-2.38.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7d0a42dd438c498d4da2227bf8a06d957388bf2051d250b462046b1fbe83c2ed”h2NhNh3Œgit >=2.26.0”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÑh•¬hEJ‘ hFˆubh)”}”(hŒ	r-mltools”h#Œ0.3.5”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-mltools-0.3.5-r36h6115d3f_0.tar.bz2”h+Œ 6875c9c4e97c9c24bc79b9e81ffba7da”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mltools-0.3.5-r36h6115d3f_0.tar.bz2”h0Œ@7cc10176707618944fe8b0255d28c8ad8983301ba16242a57c54cb7e3ac6ab9c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-data.table >=1.9.7”Œr-matrix”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×®Žçût¼hEJªÏ hFˆubh)”}”(hŒr-quandl”h#Œ2.11.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-quandl-2.11.0-r41hc72bb7e_1.tar.bz2”h+Œ cc42d2660aff975cd229bbdd484b7133”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-quandl-2.11.0-r41hc72bb7e_1.tar.bz2”h0Œ@a7f57a5180cf3e9f51cc327a7b720396727265a9d33d23e972415fe8cd2133d6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr >=0.6.1”Œr-jsonlite >=0.9.14”Œr-xts”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑiÄ hEJÂ3 hFˆubh)”}”(hŒr-qlcmatrix”h#Œ0.9.7”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ*r-qlcmatrix-0.9.7-r36h6115d3f_1001.tar.bz2”h+Œ 4264f1f12be4ef0ecb7ffd3e63666672”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-qlcmatrix-0.9.7-r36h6115d3f_1001.tar.bz2”h0Œ@fd6006f1ab3c6a0dd9555ebaf083088f7921f75c003e1093520b069427c0a980”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-docopt”Œr-matrix >=1.1_0”Œr-slam >=0.1_32”Œr-sparsesvd”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L¿±&E¢hEJ—ð2 hFˆubh)”}”(hŒcmdline_provenance”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-cmdline_provenance-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 21bac4cbd943491fbf5c2243868997b6”h.Œ[https://conda.anaconda.org/conda-forge/noarch/cmdline_provenance-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b5a73de09fc5138f5102ae507a27bf5fe860aae1e8d0747c46bed66e622ff792”h2NhNh3Œ	ipynbname”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØáPA%hEM hFˆubh)”}”(hŒaspy.refactor-imports”h#Œ2.1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ0aspy.refactor-imports-2.1.1-pyh9f0ad1d_0.tar.bz2”h+Œ a4194676a7860903b5b4ced6aaf36991”h.Œ^https://conda.anaconda.org/conda-forge/noarch/aspy.refactor-imports-2.1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@32d305247b09774701156d2adf1d142030346ef5d2dbfa221fd4005c80c09f55”h2NhNh3Œcached-property”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×­"¾™Û#hEM‹(hFˆubh)”}”(hŒ
r-conicfit”h#Œ1.0.4”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ)r-conicfit-1.0.4-r40ha770c72_1002.tar.bz2”h+Œ cc1dc25c93af330ce91542a12c2dda40”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-conicfit-1.0.4-r40ha770c72_1002.tar.bz2”h0Œ@9da9a36f6de15d4e40cf6336c29b88bfe46198e10a205624b6133468d4ee785f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-geigen”Œr-pracma”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ+,+?l‹hEJ\Ÿ hFˆubh)”}”(hŒr-tkrgl”h#Œ0.9”h%Œr36h6115d3f_0”h'K hhh(h)hŒ!r-tkrgl-0.9-r36h6115d3f_0.tar.bz2”h+Œ fb98f81f83451470d78c7cf2250c95c3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-tkrgl-0.9-r36h6115d3f_0.tar.bz2”h0Œ@3fbbc4f5b2a1a9570bc599d10fdd66afa1618de8bb221a0edeb0815fdf8de74c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rgl >=0.100.38”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×­k~5?hEMlhFˆubh)”}”(hŒlibsoup-cos7-ppc64le”h#Œ2.62.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libsoup-cos7-ppc64le-2.62.2-h9d98e8f_1104.tar.bz2”h+Œ ee0b151cba4c14dc988bee81ce709a0e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-ppc64le-2.62.2-h9d98e8f_1104.tar.bz2”h0Œ@d7da33feb7d264818d2ca913f2215748927753f70f02f2de698a85bef03ad500”h2NhNh3Œ,glib-networking-cos7-ppc64le >=2.38.0 *_1104”Œ"glib2-cos7-ppc64le >=2.38.0 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É~­G
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r-grplasso”Œr-mgcv”Œ
r-quadprog”Œr-rlrsim”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØI^§1hEJB. hFˆubh)”}”(hŒlibnl-cos6-x86_64”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ,libnl-cos6-x86_64-1.1.4-ha826a6f_103.tar.bz2”h+Œ dd040cc9c55e42248547bac29bc01c20”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libnl-cos6-x86_64-1.1.4-ha826a6f_103.tar.bz2”h0Œ@45b2c6961d2af46b704bd34673baea8be06da2d3954891c5d6a1f032e83e30f1”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ/ZáHhEJ³- hFˆubh)”}”(hŒlibnl3-cli-cos7-x86_64”h#Œ3.2.28”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libnl3-cli-cos7-x86_64-3.2.28-ha826a6f_1103.tar.bz2”h+Œ a4b9f9cd99da1d5de6e870547bbcf66d”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl3-cli-cos7-x86_64-3.2.28-ha826a6f_1103.tar.bz2”h0Œ@97f1bf66f893e4d421d53cf9793a4f8f5c452b245f7879d7d2746f4e16718eaf”h2NhNh3Œ"libnl3-cos7-x86_64 ==3.2.28 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÈX¶äÌÍhEJ’ hFˆubh)”}”(hŒlibuuid-cos6-x86_64”h#Œ2.17.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libuuid-cos6-x86_64-2.17.2-h9b0a68f_1105.tar.bz2”h+Œ 816df0a99aca1e94f5490b7dbcad79bc”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos6-x86_64-2.17.2-h9b0a68f_1105.tar.bz2”h0Œ@f163f24a5041cb1f85822c358aaf14e35f93c81023ad33b0325c9d391417aa4b”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@V	JhEM65hFˆubh)”}”(hŒ
r-baseline”h#Œ1.3_4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-baseline-1.3_4-r41hc72bb7e_1.tar.bz2”h+Œ 51c1f20ed0128c5df2209fcd18a009a5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-baseline-1.3_4-r41hc72bb7e_1.tar.bz2”h0Œ@83b66aa59da1933f75d6b4b30e035777085aabad32c5a1cfa28ef42ffd767b92”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-limsolve”Œ	r-sparsem”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ©S33hEJu6" hFˆubh)”}”(hŒclimata”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒclimata-0.5.0-py_0.tar.bz2”h+Œ bec46e6e1155e434bf52e473859ae3a7”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/climata-0.5.0-py_0.tar.bz2”h0Œ@3fb4058846bbfbadf99fd1f4d8853bf945a5975486a150e625af616d41d05c42”h2NhNh3(Œowslib >=0.9”Œpython”Œ
suds-jurko”Œwq.io >=0.7.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×E6‚ùÛhEM®bhFˆubh)”}”(hŒfontconfig-devel-cos6-x86_64”h#Œ2.8.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8fontconfig-devel-cos6-x86_64-2.8.0-hdf0574f_1102.tar.bz2”h+Œ 142ef94f4e1abff8d1cb02d6ab7d31cb”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos6-x86_64-2.8.0-hdf0574f_1102.tar.bz2”h0Œ@c0d1681b9caf6e902b6bb609089ff8eeb5af55ee77337cebd4f6860471fc625a”h2NhNh3Œ%fontconfig-cos6-x86_64 ==2.8.0 *_1102”Œ)freetype-devel-cos6-x86_64 >=2.1.4 *_1102”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Åj©G®hEJÒZ hFˆubh)”}”(hŒstackprinter”h#Œ0.2.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'stackprinter-0.2.5-pyhd8ed1ab_0.tar.bz2”h+Œ 3aa986f62669a2660febea380d91df4c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/stackprinter-0.2.5-pyhd8ed1ab_0.tar.bz2”h0Œ@7c3dbd4f732e618c185f243a2130bc7a8fa3cb4e89ba02b56c244ffa2e0cc5ac”h2NhNh3Œpython >=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGA×çg@£×hEMîchFˆubh)”}”(hŒ
r-seasonal”h#Œ1.9.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-seasonal-1.9.0-r40hc72bb7e_0.tar.bz2”h+Œ 1b7b3b157b8c19e1a84938db0745f413”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-seasonal-1.9.0-r40hc72bb7e_0.tar.bz2”h0Œ@6dd8b906a15ce1eb406d66fdc257a7d97f331f7913ef9ad5c1caeaa879e0fb88”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-x13binary”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ—M/
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python-awg”h#Œ3.1.2”h%Œpyhcfe2094_0”h'K hhh(h)hŒ%python-awg-3.1.2-pyhcfe2094_0.tar.bz2”h+Œ 891e0d6b0e9b79a87193cd3d98c79680”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/python-awg-3.1.2-pyhcfe2094_0.tar.bz2”h0Œ@f33de503c0dd865599eab9a4fb0d617eed5d21ebf719ebe2d53385e11740c24d”h2NhNh3(Œlibawg 3.1.2 haf5c9bc_0”Œlibsistr 3.1.2 h8d01263_0”Œlibtestpoint 3.1.2 haf5c9bc_0”Œnumpy”Œpython >=3.6”Œ	root_base”Œscipy”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ—n;ŽùÛhEMñzhFˆubh)”}”(hŒpango-cos7-ppc64le”h#Œ1.42.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.pango-cos7-ppc64le-1.42.4-h9d98e8f_104.tar.bz2”h+Œ 79fd8ff210570ad3a80b3f86068c4e99”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pango-cos7-ppc64le-1.42.4-h9d98e8f_104.tar.bz2”h0Œ@ac609f96fe5858562e04d481d477ab79e07e715d77350eb14dbf250b1bd1aaff”h2NhNh3(Œ"cairo-cos7-ppc64le >=1.12.10 *_104”Œ'fontconfig-cos7-ppc64le >=2.11.91 *_104”Œ#freetype-cos7-ppc64le >=2.1.5 *_104”Œ fribidi-cos7-ppc64le >=1.0 *_104”Œ!glib2-cos7-ppc64le >=2.56.1 *_104”Œ#harfbuzz-cos7-ppc64le >=1.4.2 *_104”Œ"libthai-cos7-ppc64le >=0.1.9 *_104”Œ!libxft-cos7-ppc64le >=2.0.0 *_104”t”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}}p¤hEJE| hFˆubh)”}”(hŒ	asciietch”h#Œ1.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$asciietch-1.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 0ffe93f330c4ce4abb3c256caae98401”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/asciietch-1.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@129924ebf366bd7b36601f0fd2e742e1cb11ca35a031fe8b6939d86cbe0ebd55”h2NhNh3(Œfuture”Œparsedatetime 2.4”Œpython >=3.6”Œsetuptools >=30”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÀã”1'hEMo)hFˆubh)”}”(hŒ
mplcursors”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%mplcursors-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9d36c9ca495c8ff081e19e1d28127c0b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mplcursors-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@aa3edc23d5275a97f4ad5e07c9d93ac7d27809b2445be87e0fe339141a6a04a4”h2NhNh3Œmatplotlib-base >3.1”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØe”»`1'hEM.YhFˆubh)”}”(hŒr-gpfit”h#Œ1.0_8”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ#r-gpfit-1.0_8-r40hc72bb7e_1.tar.bz2”h+Œ 4983b9b98a52e0a645f544b97d938e19”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gpfit-1.0_8-r40hc72bb7e_1.tar.bz2”h0Œ@733b84a7e5298e454c6168bbf436aed0c4f7ce3f397489fe86dd487e740d893c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lattice >=0.18_8”Œr-lhs >=0.5”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ*â[ð  hEJ·_ hFˆubh)”}”(hŒmemo”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmemo-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 60bd30f3db231f405b669ee3c6ac3ddc”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/memo-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cfbe168f4c03f8b82951f79485f030c6656b04a7ac09c381832c338d3d059b6a”h2NhNh3(Œjoblib >=1.0.1”Œorjson >=3.4.5”Œpython >=3.7”Œrich >=9.2.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ(_Ë‹DhEM^0hFˆubh)”}”(hŒ
r-multiway”h#Œ1.0_6”h%Œr35h6115d3f_1”h'Khhh(h)hŒ&r-multiway-1.0_6-r35h6115d3f_1.tar.bz2”h+Œ 1eb1c443d61d1eac130f4004a0927177”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiway-1.0_6-r35h6115d3f_1.tar.bz2”h0Œ@2871982a86deedd3654cfed917cd80ecd55daa572ef0e2bcc48d4994f3740576”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-cmls”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÎ#¸hEJi;
 hFˆubh)”}”(hŒ
gsshapyorm”h#Œ0.3.1”h%Œpy_0”h'K hhh(h)hŒgsshapyorm-0.3.1-py_0.tar.bz2”h+Œ f665791a2ee3aeb5cccbc606bf063d0a”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/gsshapyorm-0.3.1-py_0.tar.bz2”h0Œ@2eae26f1a14fbb0108ff42b5bbf2b1117648bd58cb7bee15d24aa507e2e1f70e”h2NhNh3(Œappdirs”Œ	geopandas”Œmapkit >=1.2.6”Œnumpy”Œpandas”Œpsycopg2”Œ
python >=3”Œpyyaml”Œ
sqlalchemy”Œtimezonefinder”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×sw^à´9hEJ«' hFˆubh)”}”(hŒr-visualize”h#Œ4.4.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-visualize-4.4.0-r41hc72bb7e_1.tar.bz2”h+Œ 1b26196a7db4d355cd959a6cca67f21b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-visualize-4.4.0-r41hc72bb7e_1.tar.bz2”h0Œ@ae6d6523c3ed584b2690ce3816682b310b40c10c5ce8efe8212d6a3491284692”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑÌ4Õ‘hhEJa\ hFˆubh)”}”(hŒr-disco”h#Œ0.6”h%Œr40h6115d3f_1”h'Khhh(h)hŒ!r-disco-0.6-r40h6115d3f_1.tar.bz2”h+Œ fae1d2c5112009ef8a8907e00a463939”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-disco-0.6-r40h6115d3f_1.tar.bz2”h0Œ@293279c018b3e9bf9d112c223e5859528ba262d4c19b15aaa19af15b162e8265”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-rcolorbrewer”Œr-tmod”t”h9hºh@ŒGPL (>= 2.0)”hBŒGPL3”hDGA×¬á„Ï+hEJé hFˆubh)”}”(hŒp11-kit-trust-cos7-aarch64”h#Œ0.23.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6p11-kit-trust-cos7-aarch64-0.23.5-h9b0a68f_105.tar.bz2”h+Œ 882e8a743f50f46315b1052347f4ea94”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-aarch64-0.23.5-h9b0a68f_105.tar.bz2”h0Œ@60e5bf0c1f3e4bb133e0fb50b96812658f532480b2744f5e6fb45b5d83112e99”h2NhNh3Œ#p11-kit-cos7-aarch64 ==0.23.5 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@X+K…hEJ^ hFˆubh)”}”(hŒ
r-conicfit”h#Œ1.0.4”h%Œr36_1002”h'Mêhhh(h)hŒ!r-conicfit-1.0.4-r36_1002.tar.bz2”h+Œ d9b2521af17b386f0da7e5e4989f2626”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-conicfit-1.0.4-r36_1002.tar.bz2”h0Œ@95779ad907acc47f9cb0b39db5268139b54d1f36b15d261a061485a17de07d49”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-geigen”Œr-pracma”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬ë|“hEJh¥ hFˆubh)”}”(hŒbluesky-widgets”h#Œ0.0.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+bluesky-widgets-0.0.14-pyhd8ed1ab_0.tar.bz2”h+Œ 2f8b732627a0c60419c7cb76a88edcd9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/bluesky-widgets-0.0.14-pyhd8ed1ab_0.tar.bz2”h0Œ@b62de9efcbe7baab87d0574159cb2c3dad7c3d5f4fb980c032d13835c4286f9c”h2NhNh3(Œbluesky-live >=0.0.7”Œnumpy”Œpython >=3.6”Œsuitcase-utils <=0.5.3”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÝ¿ñ3t¼hEJ¬ hFˆubh)”}”(hŒmoz-sql-parser”h#Œ
4.40.21126”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.moz-sql-parser-4.40.21126-pyhd8ed1ab_0.tar.bz2”h+Œ ae6a1bcd02f41b606fd135e040d8b93b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/moz-sql-parser-4.40.21126-pyhd8ed1ab_0.tar.bz2”h0Œ@ccc70ee907614d57dff1f8181e128e4b7203304f2e1a475548eddf1cb8c830fb”h2NhNh3(Œmo-dots 4.22.21108.*”Œmo-future 3.147.20327.*”Œmo-logs 4.23.21108.*”Œpython >=2.7”t”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAØ$þ¯´jhEJ hFˆubh)”}”(hŒapply_defaults”h#Œ0.1.6”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ)apply_defaults-0.1.6-pyh6c4a22f_0.tar.bz2”h+Œ 4082201e1ec1633e1812c26bbe9050c6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/apply_defaults-0.1.6-pyh6c4a22f_0.tar.bz2”h0Œ@c3d709bb41717eacea5cc54d1b4b492eec873179be845eae1aa39be19155f782”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ=¬B!º^hEM@hFˆubh)”}”(hŒalsa-lib-cos7-x86_64”h#Œ1.1.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ0alsa-lib-cos7-x86_64-1.1.8-ha826a6f_1103.tar.bz2”h+Œ 5d159ec567755c1e07d9500f8b28e730”h.Œ^https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos7-x86_64-1.1.8-ha826a6f_1103.tar.bz2”h0Œ@8e48dbca9de5fc70ac73bfdbd2e37b57d04570936ec6732fc2a8dd725ae86ecb”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{<‹•hEJH hFˆubh)”}”(hŒtelegram-send”h#Œ0.25”h%Œpy_0”h'K hhh(h)hŒtelegram-send-0.25-py_0.tar.bz2”h+Œ 0fa786832ad968ac15f90ae8c705dfa2”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/telegram-send-0.25-py_0.tar.bz2”h0Œ@016388e34c858a1dc3ed19c26824d166989ff03cfe1b91c1f89a8ba82fe57df5”h2NhNh3(Œappdirs”Œcolorama”Œpython >=3.6”Œpython-telegram-bot >=12.1.1”t”h9h?h@ŒGPL-3.0”hBŒGPL3”hDGA×“§D8bhEM<ahFˆubh)”}”(hŒligo-lvalert”h#Œ1.5.4”h%Œpy_0”h'K hhh(h)hŒligo-lvalert-1.5.4-py_0.tar.bz2”h+Œ 090c3231eeb0ffb360f56bd075fc671f”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ligo-lvalert-1.5.4-py_0.tar.bz2”h0Œ@b4d9a9ac5a7678e264f13e10471b67cba0f536f275fd162d3d239c447f61f7f5”h2NhNh3(Œ	dnspython”Œligo-common”Œm2crypto”Œnumpy”Œpython”Œsix”Œ	sleekxmpp”t”h9h?h@ŒGPLv2+”hBŒGPL”hDGA×ývdÝ/hEMhFˆubh)”}”(hŒ	hfradarpy”h#Œ0.1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&hfradarpy-0.1.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8b76ba46079410ba7e632836cf860da8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/hfradarpy-0.1.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@46d3c67bf68b7d679d09a1a3d5e39527a3f1b1f486a4b43eaba57c9776cf13fb”h2NhNh3(Œcartopy”Œclick”Œcmocean”Œ	dask-core”Œ	geopandas”Œjoblib”Œmatplotlib-base”Œnetcdf4”Œpyproj”Œpython >=3.7”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ×(º^hEM°hFˆubh)”}”(hŒchafer”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒchafer-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ c1c74ba847deaebcd537655fba660430”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/chafer-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@618a02e6812cec152e2ef84399bcbb22b9577423156df6592459f03e79e0a250”h2NhNh3(Œnumpy”Œpython >=3.6”Œscikit-image”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÚ²¡Ý²-hEM-=hFˆubh)”}”(hŒr-batch”h#Œ1.1_5”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-batch-1.1_5-r42hc72bb7e_3.tar.bz2”h+Œ fda401d429ce1be801161805deb99bfc”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-batch-1.1_5-r42hc72bb7e_3.tar.bz2”h0Œ@95c336fc71e6cc64aefad3487a59a35ad6dda81a1fa478c43ea8598a3bdac30a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒ£Jì1hEMOìhFˆubh)”}”(hŒr-productplots”h#Œ0.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-productplots-0.1.1-r40hc72bb7e_0.tar.bz2”h+Œ a4358940f0c6b8b5814268bf2c51cbbd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-productplots-0.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@93c483c9ab6e598b3e10503444bcd8825cdbf7e8ec693b6a93827b2478f6cb77”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-plyr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØwÆ;ìí‘hEJ†è hFˆubh)”}”(hŒr-ca”h#Œ0.71.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ!r-ca-0.71.1-r40h6115d3f_1.tar.bz2”h+Œ fcf5c0ef14ce913892c066d9c81f688c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ca-0.71.1-r40h6115d3f_1.tar.bz2”h0Œ@e766107de08e9adbb837cc4382b3dfe3a48ab85658627483eeeb79b64c74f918”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGA×«ån®§ðhEJ‚ö hFˆubh)”}”(hŒtransformers”h#Œ4.14.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(transformers-4.14.1-pyhd8ed1ab_0.tar.bz2”h+Œ cbaeb11cd79162caea637ad6060991a8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/transformers-4.14.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4481fee97560f6bdbe9495f6e9c7afd1e1a1a5a68202cba14ca568e54f2ed41b”h2NhNh3(Œdataclasses”Œfilelock”Œhuggingface_hub”Œnumpy”Œ	packaging”Œpython >=3.6”Œpytorch”Œpyyaml”Œregex !=2019.12.17”Œrequests”Œ
sacremoses”Œtokenizers >=0.10.1,<0.11”Œtqdm >=4.27”t”h9h?h@Œ
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r-dt >=0.5”Œr-htmltools”Œ	r-openssl”Œ	r-r.utils”Œr-r6”Œ	r-rsqlite”Œr-scrypt”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ
üA™šhEJuR  hFˆubh)”}”(hŒdjango-haystack”h#Œ2.8.1”h%Œpy_0”h'K hhh(h)hŒ"django-haystack-2.8.1-py_0.tar.bz2”h+Œ 4bad83f4383c305e172617097226a019”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/django-haystack-2.8.1-py_0.tar.bz2”h0Œ@6b82a5b51ff98a5e37a3adf262ff7f50eb241ffe0fcfa782e2f80db8627a0bf6”h2NhNh3Œdjango >=1.11”Œpython”Œ
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r-reshape2”Œr-rhpcblasctl”t”h9hºh@Œ
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Apache-2.0”hBŒAPACHE”hDGAØ£1ç;dhEM¦?hFˆubh)”}”(hŒ
r-convertr”h#Œ0.2.0”h%Œr41ha770c72_1”h'Khhh(h)hŒ&r-convertr-0.2.0-r41ha770c72_1.tar.bz2”h+Œ eb79e4ef001099ba881a9e10b3254c8e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-convertr-0.2.0-r41ha770c72_1.tar.bz2”h0Œ@e5aee1a96b554c478da5f133db6fe1ce790a6a3fe6c717c562cab528b2bbe080”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œr-transformer >=1.7.2”Œ
r-udunits2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑº"Ië…hEJ­ hFˆubh)”}”(hŒspringcraft”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&springcraft-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3ee5f9a1f2ab88b34090cd3d98ae1201”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/springcraft-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6dc75c533a7e5db60979d2be44ae9af9b7f3b1b48d7158b5c63235dbd1312f50”h2NhNh3Œbiotite >=0.32”Œnumpy >=1.15”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØØã.R°!hEJŒÿ hFˆubh)”}”(hŒ
r-sparkxgb”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-sparkxgb-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ d19aadb7385cc7072775ac79220ef7c2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparkxgb-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@cdf8a87d6e1bbbaabbd2f527167f45f9b8d8dff2263bdc42890ab6ae4e4372be”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-forge >=0.2.0”Œr-sparklyr >=1.0”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÔº÷¾whEJ‚6 hFˆubh)”}”(hŒmesa-libegl-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4mesa-libegl-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h+Œ 18b463a11db2b1b98918c0ab5d45eed7”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-aarch64-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@f3010ddeb7fe20c3c7d2d9afce2a9720ee84b2ce61b9b0813f533c9e0c840f7d”h2NhNh3Œ'mesa-libgbm-cos7-aarch64 ==18.3.4 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\\5VhEJø° hFˆubh)”}”(hŒgoogle-auth-oauthlib”h#Œ0.4.1”h%Œpy_0”h'K hhh(h)hŒ'google-auth-oauthlib-0.4.1-py_0.tar.bz2”h+Œ b8d437c1e781bdbf55e90a6f68fe8bbf”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-0.4.1-py_0.tar.bz2”h0Œ@7f9428321bf46438f5de6b8f836cb144e2b1ba0629bfdf3f16076b2df18ae789”h2NhNh3Œgoogle-auth”Œpython”Œrequests-oauthlib >=0.7.0”‡”h9h?h@Œ
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GPL (>= 3)”hBŒGPL3”hDGAØ*õ¢´ÌÍhEJ¥Ñ hFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ)r-icluster-2.1.0-r41hc72bb7e_1003.tar.bz2”h+Œ de9e922f4a7b8f2e3990f81f76be33c5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r41hc72bb7e_1003.tar.bz2”h0Œ@7569d95471e677a16c2916317189af502c63d620459c31ae6284bca4a39463fc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+#Pñº^hEJŠ0& hFˆubh)”}”(hŒsemvecpy”h#Œ0.1.8”h%Œpyh5ca1d4c_0”h'K hhh(h)hŒ#semvecpy-0.1.8-pyh5ca1d4c_0.tar.bz2”h+Œ 5b63d4d203a84f37b9227da51c425c3f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/semvecpy-0.1.8-pyh5ca1d4c_0.tar.bz2”h0Œ@639a5121d23148401b99db86a6bd57cc9ec02de87588e8b5ebeae6f031a94984”h2NhNh3Œbitarray”Œnumpy”Œpython >3.5”‡”h9h?h@ŒBSD”hBŒBSD”hDGA×`D9Ž‡+hEMšBhFˆubh)”}”(hŒespnet-tts-frontend”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.espnet-tts-frontend-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ a965c86da6cc976fd8e60abd08639cd3”h.Œ\https://conda.anaconda.org/conda-forge/noarch/espnet-tts-frontend-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@7481b8c0e91738c752753ade4b21faa395befe09750faa1e66d70f8274b04e40”h2NhNh3(Œg2p-en”Œinflect >=1.0.0”Œjaconv”Œpypinyin”Œpython >=3.7”Œunidecode >=1.0.22”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÎ-YÆÈ´hEM`;hFˆubh)”}”(hŒr-simplecache”h#Œ0.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-simplecache-0.4.2-r41hc72bb7e_1.tar.bz2”h+Œ 67f24849698c1f00966b4d891afdf8ba”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-simplecache-0.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@13e0766ffcb551187e6fde608c8c8dc1e4fcb771564938409cc319a4b9b54a7f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD-2-clause”hBŒBSD”hDGAØÒª=qhEJMq hFˆubh)”}”(hŒbatoms”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!batoms-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ cc3bb9304969027ab80ec8b39633a6b8”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/batoms-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@3b41143cfae4bf27f4d3148e2d0e67e3142cfdbd1fc72860f1531851a405c8fe”h2NhNh3(Œase”Œnumpy”Œpython >=3.7”Œscikit-image”Œscipy”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ\‰LDí‘hEM¶ñhFˆubh)”}”(hŒ	r-lassopv”h#Œ0.2.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-lassopv-0.2.0-r41hc72bb7e_1003.tar.bz2”h+Œ ace56365417f6b9948b9846a49f3d57d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-lassopv-0.2.0-r41hc72bb7e_1003.tar.bz2”h0Œ@7665e2f8ec2714049f26717b9871f9fef46bd2da93c5ae1a6f679e58a771deba”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lars”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒZS‰&éhEMâˆhFˆubh)”}”(hŒr-glmnetutils”h#Œ1.1.8”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-glmnetutils-1.1.8-r36hc72bb7e_0.tar.bz2”h+Œ 2115aa74f940978fab97c2c5f05233cf”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-glmnetutils-1.1.8-r36hc72bb7e_0.tar.bz2”h0Œ@cabc9c406d561c7b64667818ece264ade874003c32d569d8f1dd791e339884aa”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-glmnet”Œr-matrix”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ÷µì1hEJÔÜ hFˆubh)”}”(hŒr-splitstackshape”h#Œ1.4.8”h%Œr351h6115d3f_0”h'K hhh(h)hŒ.r-splitstackshape-1.4.8-r351h6115d3f_0.tar.bz2”h+Œ 920ff33bb5c817d7a780f3aba94c00fe”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-splitstackshape-1.4.8-r351h6115d3f_0.tar.bz2”h0Œ@4d071b72454bb0a8544b40e48bd6e4a09091df9059f8a7f996bfa147e43277a0”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-data.table >=1.9.4”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×/6xÊ°!hEJ¯" hFˆubh)”}”(hŒlibxxf86vm-devel-cos6-x86_64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ8libxxf86vm-devel-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ c9d873432b592390f67fb621c3810498”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@b197e1460f98e854af1f20159d95ce4204769ebe4c9a646a3d38176cde54c466”h2NhNh3Œ%libxxf86vm-cos6-x86_64 ==1.1.3 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ4
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GPL (>= 2)”hBŒGPL3”hDGA×M(ÀVhEJþð hFˆubh)”}”(hŒr-maldiquantforeign”h#Œ0.13”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ.r-maldiquantforeign-0.13-r40hc72bb7e_0.tar.bz2”h+Œ 30be01f63902f6602e21d6ca27397397”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-maldiquantforeign-0.13-r40hc72bb7e_0.tar.bz2”h0Œ@82817c95a00874e27a82a0aad69816355da7516bb68c98128755120ff682b2ab”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-digest”Œr-maldiquant >=1.16.4”Œr-readbrukerflexdata >=1.7”Œr-readmzxmldata >=2.7”Œr-xml”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØu‰$r\hEJÏ hFˆubh)”}”(hŒatk-cos7-aarch64”h#Œ2.28.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-atk-cos7-aarch64-2.28.1-h9b0a68f_1105.tar.bz2”h+Œ 078ec7b3cf52baebd5b2a033224e595b”h.Œ[https://conda.anaconda.org/conda-forge/noarch/atk-cos7-aarch64-2.28.1-h9b0a68f_1105.tar.bz2”h0Œ@f73b627032a12845139ac5f3eed8d522e3a9c0326621859edbcfdde2c0e51dfc”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‡/•¡ËhEJúk hFˆubh)”}”(hŒ
flask-cors”h#Œ3.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&flask-cors-3.0.10-pyhd8ed1ab_0.tar.bz2”h+Œ 364ee28b2dbc393a387850d7ba9ec6d3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/flask-cors-3.0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@da877d0c01af0f4b5468bed7d6e6f893c8ff134f7b6adab58950999256aebddb”h2NhNh3Œflask >=0.9”Œpython >=3.6”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ,ç ‰ë…hEM‹;hFˆubh)”}”(hŒglow”h#Œ1.0.1”h%Œpyh44b312d_0”h'K hhh(h)hŒglow-1.0.1-pyh44b312d_0.tar.bz2”h+Œ 69f060ae80d0f543c42d1716db7166eb”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/glow-1.0.1-pyh44b312d_0.tar.bz2”h0Œ@65150aa8b0bc527fc74a7db24cb50b28a14fa1d0386512c9c84abc12c2f80f9f”h2NhNh3(Œnptyping >=1.3.0”Œnumpy >=1.18.1”Œopt_einsum >=3.2.0”Œpandas >=1.0.1”Œpyspark >=2.4.0”Œpython >=3.7”Œstatsmodels >=0.10.0”Œtypeguard >=2.9.1”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ"d>vÉhEM1æhFˆubh)”}”(hŒ	pyparsing”h#Œ3.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ e8fbc1b54b25f4b08281467bc13b70cc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@4acc7151cef5920d130f2e0a7615559cce8bfb037aeecb14d4d359ae3d9bc51b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØžÇ::\hEJ©= hFˆubh)”}”(hŒr-st”h#Œ1.2.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ r-st-1.2.7-r41hc72bb7e_0.tar.bz2”h+Œ a090f00d936a7a2068b1d6deb09d80c1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-st-1.2.7-r41hc72bb7e_0.tar.bz2”h0Œ@df5ab2a6341a90700662dfbb40e1094747df58c5357332cdccf4f22565aac568”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-corpcor >=1.6.8”Œr-fdrtool >=1.2.15”Œr-sda >=1.3.7”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØh|]o²hEJ¿Q	 hFˆubh)”}”(hŒr-here”h#Œ1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-here-1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ f536ed61334ec2e527253e17863b5a0e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-here-1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@a5455682a82d74195090ed0301f4c47b714df93c2fad0fe80ecfb9b47bed0996”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rprojroot >=2.0.2”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐP~Å?}hEM:àhFˆubh)”}”(hŒpixman-devel-cos6-x86_64”h#Œ0.32.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4pixman-devel-cos6-x86_64-0.32.8-h9b0a68f_105.tar.bz2”h+Œ 6431c3015a20c6bb44487c980577804b”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pixman-devel-cos6-x86_64-0.32.8-h9b0a68f_105.tar.bz2”h0Œ@448970b2762d974b81b9ad6baf334de3038b89d8c133255c711dfd5349a8a539”h2NhNh3Œ!pixman-cos6-x86_64 ==0.32.8 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@YÐs…hEMX7hFˆubh)”}”(hŒxarray”h#Œ0.21.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"xarray-0.21.1-pyhd8ed1ab_0.tar.bz2”h+Œ 974b3aecd3f8ca975ad452496f7b85a6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/xarray-0.21.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cedcc6c3fd1a0d750a7f6f93d5768409676119263249c381b2570480296df468”h2NhNh3(Œimportlib_metadata”Œnumpy >=1.18”Œpackaging >=20.0”Œpandas >=1.1,<2a0”Œpython >=3.8”Œtyping_extensions >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ~QäÝVhEJ™
 hFˆubh)”}”(hŒr-oompabase”h#Œ3.2.9”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-oompabase-3.2.9-r36h6115d3f_0.tar.bz2”h+Œ 6a162090cb41c6d6c7fba3c87f2ac24f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-oompabase-3.2.9-r36h6115d3f_0.tar.bz2”h0Œ@0f86b5f951b9a8b9fa75fb5cf58e761e31f73a271a29ff9180dd5b922e22198f”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”†”h9hºh@Œ
Apache-2-0”hBŒAPACHE”hDGA×XWW¢JhEJÏì hFˆubh)”}”(hŒast-selector”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'ast-selector-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ a4410fe9053e8cc8029397506af188c6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ast-selector-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@451310af579ef6669d920f04a4cc297e47a10bd5fab8d84ea21996be71e68b14”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ·Z‘º^hEMe*hFˆubh)”}”(hŒ	r-emdbook”h#Œ1.3.12”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-emdbook-1.3.12-r41hc72bb7e_2.tar.bz2”h+Œ c7087105625df6f3cab1e79110c798c0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-emdbook-1.3.12-r41hc72bb7e_2.tar.bz2”h0Œ@53278933bb1b6eee6afb7f639f8ded2facfff9acd571930013de9fea1c6da287”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbmle”Œr-coda”Œ	r-lattice”Œr-mass”Œr-plyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ…‹•hEJ?€ hFˆubh)”}”(hŒ
r-multiway”h#Œ1.0_6”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-multiway-1.0_6-r35h6115d3f_0.tar.bz2”h+Œ cd41d65cbdddf8587c1898390a332a31”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-multiway-1.0_6-r35h6115d3f_0.tar.bz2”h0Œ@9c28490791f09c2d0b299dff5672998d2d0ff842d3299b3e0bde5ee5d45f55bf”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-cmls”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Eî‰»"ÑhEJ¦;
 hFˆubh)”}”(hŒ	testinfra”h#Œ5.0.0”h%Œpy_0”h'K hhh(h)hŒtestinfra-5.0.0-py_0.tar.bz2”h+Œ 49cd9952492eccdbd4ec24e3185e0f78”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/testinfra-5.0.0-py_0.tar.bz2”h0Œ@cf3038b33d9615f498500331fe7e7d60ecf8a89bc354944274592288b2b96c56”h2NhNh3Œpytest !=3.0.2”Œpython >=3.4”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×œåEæÈ´hEM¨hFˆubh)”}”(hŒ	r-ggghost”h#Œ0.2.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-ggghost-0.2.1-r40hc72bb7e_1.tar.bz2”h+Œ f6ae34c8db96c5ae6df3788feb2359da”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggghost-0.2.1-r40hc72bb7e_1.tar.bz2”h0Œ@e13fe3b613c474f89d381a4d215eb8df928c7046d63508d2ecca64a7ac991326”h2NhNh3Œr-animation”Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+ÀÃíp¤hEM'õhFˆubh)”}”(hŒr-bibitr”h#Œ0.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-bibitr-0.3.1-r42hc72bb7e_2.tar.bz2”h+Œ 191a7e88750beca7d964afb2936544b0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bibitr-0.3.1-r42hc72bb7e_2.tar.bz2”h0Œ@4a53970112cbad489d00aa1caef0f55baf28cd1128cee3776b5ba1eb38237428”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-biclust”Œ	r-cluster”Œr-dendextend”Œ	r-foreign”Œ	r-lattice”Œr-randomcolor”Œ	r-viridis”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÔ==ó"ÑhEJÎK hFˆubh)”}”(hŒ
jupyterlab”h#Œ1.2.21”h%Œpyh61a20f4_0”h'K hhh(h)hŒ&jupyterlab-1.2.21-pyh61a20f4_0.tar.bz2”h+Œ ea10f8814a952fb8dbdf68e80e23b5f2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-1.2.21-pyh61a20f4_0.tar.bz2”h0Œ@292d250733de79ba0057937377a290c72a6bf1b04a1e072a8c249f251a3cfbd3”h2NhNh3(Œjinja2 >=2.10”Œ jupyterlab_server >=1.0.0,<2.0.0”Œnotebook >=4.3.1”Œpython >=3.5”Œtornado !=6.0.0,!=6.0.1,!=6.0.2”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØC­ÚáHhEJ¿Q hFˆubh)”}”(hŒr-cbioportalr”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-cbioportalr-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 35b1aa85a4ea27b9f9725af5fb724c32”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-cbioportalr-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@82bfb09000b71427538cd1bacd98968ca951a3668f30a7c65caecfc2d5a8422b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.3.0”Œr-dplyr >=1.0.9”Œr-glue >=1.6.2”Œr-httr >=1.4.3”Œr-jsonlite >=1.8.0”Œr-magrittr >=2.0.3”Œr-purrr >=0.3.4”Œr-rlang >=1.0.3”Œr-stringr >=1.4.0”Œr-tibble >=3.1.7”Œr-tidyr >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÃ-ªØÔþhEJª hFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ)r-icluster-2.1.0-r36h6115d3f_1003.tar.bz2”h+Œ 3081d55fe5b160c597686825559dd176”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r36h6115d3f_1003.tar.bz2”h0Œ@700ef55d5361e3d248e59a795b4fc1691d35b5e1268cea1ba1f4ecca15756f82”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬¹±ÓSøhEJx0& hFˆubh)”}”(hŒr-summarytools”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-summarytools-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 9afecd36247d541ccab9b323fe70e2a2”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-summarytools-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@31cc8963a0098a289c0fffb28bd49d42e83337907f5271bc7192d3290c7a98a8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-checkmate”Œr-dplyr”Œr-htmltools”Œr-lubridate”Œr-magick”Œr-matrixstats”Œr-pander”Œr-pryr”Œr-rapportools”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¡á¥÷ÏhEJ°è hFˆubh)”}”(hŒoauth2client”h#Œ4.1.3”h%Œpy_0”h'K hhh(h)hŒoauth2client-4.1.3-py_0.tar.bz2”h+Œ aafb86ecdbfea40c909719e3a6c72a04”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/oauth2client-4.1.3-py_0.tar.bz2”h0Œ@ed079fbccfe181b989a20d02988bd47284af777387ed8020bb021705ff7c0956”h2NhNh3(Œhttplib2 >=0.9.1”Œpyasn1 >=0.1.7”Œpyasn1-modules >=0.0.5”Œpython”Œrsa >=3.1.4”Œsix >=1.6.1”t”h9h?h@Œ
Apache 2.0”hBŒApache”hDGA×•KO|îhEJ« hFˆubh)”}”(hŒlibx11-common-cos7-ppc64le”h#Œ1.6.7”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libx11-common-cos7-ppc64le-1.6.7-h9b0a68f_105.tar.bz2”h+Œ 0ae646bc6bb968f5487f48e555231b6b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-ppc64le-1.6.7-h9b0a68f_105.tar.bz2”h0Œ@25282d6b17c4743902ccc70d2d7f784e3763d5fa7fe587973c567e7e81ea5632”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡ûÃ¥ãhEJ~: hFˆubh)”}”(hŒpciutils-libs-cos7-x86_64”h#Œ3.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5pciutils-libs-cos7-x86_64-3.5.1-h9b0a68f_1105.tar.bz2”h+Œ 4c616852a636ce77b0a56f346b75d4db”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-x86_64-3.5.1-h9b0a68f_1105.tar.bz2”h0Œ@8939e8b54cd752d2489ec9090626a1c63c3d696220c7a0136d8cc5733356a341”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@e–óÆ¨hEMŸhFˆubh)”}”(hŒr-detectseparation”h#Œ0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-detectseparation-0.3-r41hc72bb7e_1.tar.bz2”h+Œ bbcba8457eaa62c1eef0a09e512108b6”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-detectseparation-0.3-r41hc72bb7e_1.tar.bz2”h0Œ@3bcea272c5a13d6800554f1258f63d5bea707efd90f6843d4e999a2f7e8186d2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-lpsolveapi”Œ	r-pkgload”Œr-roi”Œr-roi.plugin.lpsolve”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ‹v&¸RhEJŽ¡ hFˆubh)”}”(hŒpymagej”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pymagej-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ b76a3af93aa555afb828f4be19a525af”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pymagej-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a780a27b1863f5d7aa90a3b94fe10cca7385bd86bdbeffcac75ec8c60f6ea24b”h2NhNh3Œnumpy”Œpython >=3.5”†”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGA×ñX¢K¶FhEMnChFˆubh)”}”(hŒr-fail”h#Œ1.3”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ#r-fail-1.3-r41ha770c72_1003.tar.bz2”h+Œ 016b645298e0defa26dc821917da8ced”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fail-1.3-r41ha770c72_1003.tar.bz2”h0Œ@a0b451adad8d3fa982a16673689b99740105f0b4a3b9ebfaa70dbd6108e4925d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-bbmisc”Œr-checkmate”‡”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÒËÅ¼jhEMäÓhFˆubh)”}”(hŒpox”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpox-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 29b13416c85f298de6498defeacd2d09”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pox-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6c4f13dec8b9e48292955fec4b01d3b76451275367076bb0c642b0ede62ec649”h2NhNh3Œpython ==2.7.*|>=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕŒ2ÐåhEM‚chFˆubh)”}”(hŒr-smotefamily”h#Œ1.3.1”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ)r-smotefamily-1.3.1-r42hc72bb7e_4.tar.bz2”h+Œ 865488e29f02dd1a1d1cbba6b1ee3d5c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-smotefamily-1.3.1-r42hc72bb7e_4.tar.bz2”h0Œ@51ea2562a77e1a3127a619a9b41c838d9d6a151d9666e0f2914617f70d53e258”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dbscan”Œr-fnn”Œr-igraph”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑŽ«5?hEJ	Œ hFˆubh)”}”(hŒr-assertive.files”h#Œ0.0_2”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ0r-assertive.files-0.0_2-r36h6115d3f_1002.tar.bz2”h+Œ 282ec71e735cb281ba44732b28efd574”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.files-0.0_2-r36h6115d3f_1002.tar.bz2”h0Œ@e838be879ba205ca23a204c142d8398a04440592ad4d496a52fdb2dd08b82240”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.numbers”Œr-base >=3.6,<3.7.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LÌä¬hEJêL hFˆubh)”}”(hŒr-dgeobj”h#Œ1.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-dgeobj-1.1.2-r42hc72bb7e_0.tar.bz2”h+Œ f0a4282bf10e0d7e28970be78a1c75a2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dgeobj-1.1.2-r42hc72bb7e_0.tar.bz2”h0Œ@42000581a6003bb8ec6478262249bbe0b753c06946cc73b4de06dd17110ddda5”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œ
r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ¨âÇß;hEJý„" hFˆubh)”}”(hŒr-smoothmest”h#Œ0.1_3”h%Œr42ha770c72_1”h'Khhh(h)hŒ(r-smoothmest-0.1_3-r42ha770c72_1.tar.bz2”h+Œ d442e3b5bf7dd81badc819a0d035faa4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-smoothmest-0.1_3-r42ha770c72_1.tar.bz2”h0Œ@5fe342d3662c0524cad8d8f3c8bd63064163c5b6329b769860aa75274ca808e0”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@ŒGPL”hBŒGPL”hDGAØÒt9XhEJ¯/ hFˆubh)”}”(hŒ
pdfminer3k”h#Œ1.3.1”h%Œpy_1”h'Khhh(h)hŒpdfminer3k-1.3.1-py_1.tar.bz2”h+Œ 7253ae0ae9d1a630d9ec1ccf047a21d1”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pdfminer3k-1.3.1-py_1.tar.bz2”h0Œ@c661d36526e9432da473a7b732b74fb476a99709f4232c2c4b031a79e0f5b191”h2NhNh3Œ	ply >=3.4”Œpytest >=2.0”Œ
python >=3”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖí:bhEJak hFˆubh)”}”(hŒr-oro.nifti”h#Œ0.11.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-oro.nifti-0.11.4-r41hc72bb7e_0.tar.bz2”h+Œ cda4ca8be4b6c9195611f475982a2a96”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-oro.nifti-0.11.4-r41hc72bb7e_0.tar.bz2”h0Œ@38000faa4abe42610aede480574e29c039f34ffaa934e3f158bdcf35ade9d106”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-bitops”Œr-rnifti >=0.9.0”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØØZ‡KÇhEJ£™^ hFˆubh)”}”(hŒr-dyndimred”h#Œ1.0.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ'r-dyndimred-1.0.4-r36hc72bb7e_0.tar.bz2”h+Œ d9e26060b5a5b11d436e750edfb839dd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-dyndimred-1.0.4-r36hc72bb7e_0.tar.bz2”h0Œ@67ce3c8849c44dd2d82a5757017ee8d9aac125d5382b20403b292be548330a93”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dynutils >=1.0.5”Œr-irlba”Œr-lmds”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØo@ýhEJÈ‚ hFˆubh)”}”(hŒsysroot_linux-aarch64”h#Œ2.17”h%Œh43d7e78_11”h'Khhh(h)hŒ.sysroot_linux-aarch64-2.17-h43d7e78_11.tar.bz2”h+Œ 1f2c540320ed965a9433724a20c285a7”h.Œ\https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-aarch64-2.17-h43d7e78_11.tar.bz2”h0Œ@47922e3fc55f6c6a4a53537cb0ef3ee08e6d9686a6d3031d7eea11206160ac75”h2NhNh3Œ/kernel-headers_linux-aarch64 4.18.0 h5b4a56d_11”Œ-_sysroot_linux-aarch64_curr_repodata_hack 4.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ< EZMÓhEJØ'hFˆubh)”}”(hŒr-rpart.plot”h#Œ3.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-rpart.plot-3.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 6eac827378edff40e6233a77d8efd316”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rpart.plot-3.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@b1581f6dd9d9b79fd7913c9257e70878f9d2af0a10878fa02cc682940be025c7”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rpart >=4.1_15”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑÍÍãThEJg hFˆubh)”}”(hŒr-hrbrthemes”h#Œ0.8.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-hrbrthemes-0.8.0-r42hc72bb7e_2.tar.bz2”h+Œ db5db65389a8bac3a8e18f50cc810b76”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hrbrthemes-0.8.0-r42hc72bb7e_2.tar.bz2”h0Œ@0213afc74c5475dabad2c5c52f9d994e29bac2135fa36ca69d01a0a9a186be72”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-extrafont”Œ	r-gdtools”Œr-ggplot2 >=3.3.0”Œr-htmltools”Œr-knitr”Œ
r-magrittr”Œr-rmarkdown”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ©«I©ühEJ¢ hFˆubh)”}”(hŒr-r.devices”h#Œ2.17.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-r.devices-2.17.1-r40hc72bb7e_0.tar.bz2”h+Œ 1d40937a094f7f9d5e8c65aee4b46539”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r.devices-2.17.1-r40hc72bb7e_0.tar.bz2”h0Œ@26f0a616d46e5b5d924aac22b3935d3a671cc62e43439bc9fb120b1c7e0a786a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc >=0.1_2”Œr-r.methodss3 >=1.8.1”Œr-r.oo >=1.24.0”Œr-r.utils >=2.10.1”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØ¬¤2ÐåhEJe hFˆubh)”}”(hŒlibxt-cos7-aarch64”h#Œ1.1.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libxt-cos7-aarch64-1.1.5-h9d98e8f_1104.tar.bz2”h+Œ bcb2b035ad1bff06c77e22ccd96faa8d”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxt-cos7-aarch64-1.1.5-h9d98e8f_1104.tar.bz2”h0Œ@21c0723e55bf2079d5c162a3a67962d11a109855d387d1c0a04aa7c379a32d4c”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~3 hEJçÀ hFˆubh)”}”(hŒfisspy”h#Œ0.9.80”h%Œpy_0”h'K hhh(h)hŒfisspy-0.9.80-py_0.tar.bz2”h+Œ 32d43590680f46120fe1650c5f022a57”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/fisspy-0.9.80-py_0.tar.bz2”h0Œ@6065c075d8d74fdca9fca9d13acf552074b105dad52851e89b3596eae9e74d56”h2NhNh3(Œastropy”Œffmpeg”Œinterpolation”Œmatplotlib-base”Œnumba”Œnumpy”Œpillow”Œpython >=3.6”Œscipy”Œstatsmodels”Œsunpy”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×Ç‹MÇ|îhEMd³hFˆubh)”}”(hŒlibdrm-cos7-ppc64le”h#Œ2.4.97”h%Œha826a6f_103”h'Kghhh(h)hŒ/libdrm-cos7-ppc64le-2.4.97-ha826a6f_103.tar.bz2”h+Œ d737f2ec5441386d320cb15cfbcb615a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-ppc64le-2.4.97-ha826a6f_103.tar.bz2”h0Œ@42eb6dfba32a3e13bd7759e8f2541062d8adfdfdded498b95b4f2d625a2bf1cb”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/X‹DhEJ‡ hFˆubh)”}”(hŒr-pca3d”h#Œ0.10.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-pca3d-0.10.2-r42hc72bb7e_1.tar.bz2”h+Œ 96a9b8d9884517af6c0672184c240e4a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pca3d-0.10.2-r42hc72bb7e_1.tar.bz2”h0Œ@b1bb6ee312c3fa905a4d38fb78ed0738187dcb08505b64b99f173103c24644bb”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-ellipse”Œr-rgl”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓ:M`BhEJG hFˆubh)”}”(hŒr-rmio”h#Œ0.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-rmio-0.4.0-r41hc72bb7e_0.tar.bz2”h+Œ b1944dfac845bac1ccf5580c695ab4b8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rmio-0.4.0-r41hc72bb7e_0.tar.bz2”h0Œ@123d5cfdb198d56d4359628436ffc11ffb63f7248784818df8a3ca99b844d4b0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-bigassertr”Œr-ff”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ…8Ç‘G®hEM›hFˆubh)”}”(hŒmesa-dri-drivers-cos7-x86_64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ9mesa-dri-drivers-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ 48f49f650726990c3044f3f4558ebd11”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@5d1ff2a03980086803229d63ff6265938e91bdf3d6d43fed30ffa7f2ce2d8962”h2NhNh3Œ"libdrm-cos7-x86_64 >=2.4.83 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1>²-hEJ„æ¸hFˆubh)”}”(hŒgoogle-auth-httplib2”h#Œ0.0.3”h%Œpy_3”h'Khhh(h)hŒ'google-auth-httplib2-0.0.3-py_3.tar.bz2”h+Œ 863c7636d9f3c393e4d088343a906054”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/google-auth-httplib2-0.0.3-py_3.tar.bz2”h0Œ@1c7952c4b8bac7855163fbf01e6a6b5a230810cc8c645dda079f4367085f8aea”h2NhNh3(Œgoogle-auth”Œhttplib2 >=0.9.1”Œpython”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×‡áØ»C–hEM0hFˆubh)”}”(hŒ	r-tangles”h#Œ0.8.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-tangles-0.8.1-r41hc72bb7e_0.tar.bz2”h+Œ 9c20a019b0bc7b70d802ffbe156c58dc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tangles-0.8.1-r41hc72bb7e_0.tar.bz2”h0Œ@23f0ee98d2bb5a1221213445a55018504a957eb940524ab4e491caabdb21d8a4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-raster”Œr-sp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@­—i©ühEJÛ¢ hFˆubh)”}”(hŒr-dgeobj”h#Œ1.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-dgeobj-1.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 1077f59d3d4123d220ebfb5a33a3e775”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dgeobj-1.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@e5e8dc3e1a413c0dc6326fb252eac5d07de71f627d5fda3792fe9e70241f5ce0”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ¨ÓÛ#hEJåª" hFˆubh)”}”(hŒr-bc3net”h#Œ1.0.4”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-bc3net-1.0.4-r36h6115d3f_1.tar.bz2”h+Œ 602d7c1dd3a8660f428e63825cf6a17a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bc3net-1.0.4-r36h6115d3f_1.tar.bz2”h0Œ@8f707ece79b4443111856c3b81a98cf3c79037567e5abfb0c3c746c217086301”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-c3net”Œr-igraph”Œ
r-infotheo”Œ	r-lattice”Œr-matrix”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­6®hEJB‚ hFˆubh)”}”(hŒr-bstats”h#Œ0.0.1”h%Œr41ha770c72_0”h'K hhh(h)hŒ$r-bstats-0.0.1-r41ha770c72_0.tar.bz2”h+Œ ecfb88bb816292dc09cd490eed6fc2fa”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bstats-0.0.1-r41ha770c72_0.tar.bz2”h0Œ@7e9ec05ee048ff806ae3e6d11652021a7f511a9c7b2db2378adae380d1b9ad4f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-hypergeo”Œr-purrr”Œr-suppdists”t”h9hºh@ŒLGPL-3.0-or-later”hBŒGPL”hDGAØCµã•hEJ,½ hFˆubh)”}”(hŒr-shinyjqui”h#Œ0.4.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-shinyjqui-0.4.1-r41hc72bb7e_1.tar.bz2”h+Œ 0998e62366dcb63cc3ba0b27e53e93fd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinyjqui-0.4.1-r41hc72bb7e_1.tar.bz2”h0Œ@56d36cc81b65c42abf5c6c161c05269bc05fa7a74e06c36dbce73fb8288ebf1e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-jsonlite”Œr-shiny >=0.14.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑFµæVhEJsÍ	 hFˆubh)”}”(hŒflask-script”h#Œ2.0.6”h%Œpy_0”h'K hhh(h)hŒflask-script-2.0.6-py_0.tar.bz2”h+Œ 5f210d0d60ab89f5c555f65c755e7168”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/flask-script-2.0.6-py_0.tar.bz2”h0Œ@c06d6844ce81b8264a4187244139e9530a7caf94741caed75cf2d92624cc8846”h2NhNh3Œflask”Œpython”†”h9h?h@ŒBSD 3-Clause”hBŒBSD”hEMd9hFˆubh)”}”(hŒr-assertable”h#Œ0.2.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-assertable-0.2.8-r42hc72bb7e_1.tar.bz2”h+Œ 14559e5041f61dfa53e1e948a3b67ee4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-assertable-0.2.8-r42hc72bb7e_1.tar.bz2”h0Œ@a03be64367de2f97f35568656c7b497bcc0366c28481a27aefbf1041631ea4a4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ©È}OßhEJõ5 hFˆubh)”}”(hŒr-xml2r”h#Œ0.0.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-xml2r-0.0.6-r41hc72bb7e_0.tar.bz2”h+Œ 74fadb3be554f3dfac23f1766490364f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-xml2r-0.0.6-r41hc72bb7e_0.tar.bz2”h0Œ@99e201dc5e59cf7f1fbd5aecb64cd03a2df0c9ae514167690301c3c578a6f43f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØa¬­Š¬hEMÓhFˆubh)”}”(hŒr-available”h#Œ1.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-available-1.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 4405cba179c2294e161ed7fc3f51ce44”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-available-1.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@d00c71ed37317b265e1522d6a057cf60479705f52649fe4c18fad750a19db5dd”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cli”Œr-clisymbols”Œr-crayon”Œr-desc”Œr-glue”Œ
r-jsonlite”Œ	r-memoise”Œr-snowballc”Œr-stringdist”Œr-tibble”Œ
r-tidytext”Œr-udapi”Œr-yesno”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ²×‘hhEJñ€ hFˆubh)”}”(hŒ	throttler”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$throttler-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ c8f6bde557bb74cdbbd1fc14ad1d0bf7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/throttler-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0618fb689b68e78b2ee737af27a0b90b693e98a94d2e17d7406c25e4c8d10739”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÛE€ƒhEMÿ+hFˆubh)”}”(hŒ	pymorphy2”h#Œ0.9.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$pymorphy2-0.9.1-pyh9f0ad1d_0.tar.bz2”h+Œ 810a84d869a012da01fc462768b533fd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pymorphy2-0.9.1-pyh9f0ad1d_0.tar.bz2”h0Œ@e8950dd5a0e3cff7439f093b2f249f3dd793a027c5e2d2c8565e45317eab665d”h2NhNh3(Œdawg-python >=0.7”Œdocopt >=0.6”Œpymorphy2-dicts-ru >=2.4”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÜuIG®hEM®hFˆubh)”}”(hŒr-assertive.properties”h#Œ0.0_5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ2r-assertive.properties-0.0_5-r42hc72bb7e_1.tar.bz2”h+Œ 9c83777cad673cf5d3ba50b0d750d1a8”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.properties-0.0_5-r42hc72bb7e_1.tar.bz2”h0Œ@a27abbb8283c6a4ddc63753f33b3ca7a90cad85bed3ea84c3aadbed8a232df71”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐ—ªÝ¸hEJ® hFˆubh)”}”(hŒ
sqlitedict”h#Œ2.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%sqlitedict-2.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ bdebce0720f99cbd3dfad98872f63b14”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sqlitedict-2.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1ec55d7b39fd7074e5026b7a80d95d303789f66a072a3392c52a7abae93382e9”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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h8b79891_4”h'Khhh(h)hŒ openmpi-4.1.3-h8b79891_4.tar.bz2”h+Œ 9c9cb7612f42d00ed49f146be486f875”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/openmpi-4.1.3-h8b79891_4.tar.bz2”h0Œ@7ee4f04d117673c3ebeb9dd323c360c7917401dae8554610872569cd34439bf3”h2NhNh3Œmpi 1.0 openmpi”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ¦{×pr°hEM¦%hFˆubh)”}”(hŒ
quantstats”h#Œ0.0.59”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&quantstats-0.0.59-pyhd8ed1ab_0.tar.bz2”h+Œ 3e53220d01d8834956b1ec7cbc8bfff9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/quantstats-0.0.59-pyhd8ed1ab_0.tar.bz2”h0Œ@3f84430d30575c97c4a6c45cd747064ceca14bd7eba527be3e1ff69102b61604”h2NhNh3(Œmatplotlib-base >=3.0.0”Œnumpy >=1.16.5”Œpandas >=0.24.0”Œpython >=3.6”Œpython-dateutil >=2.0”Œscipy >=1.2.0”Œseaborn >=0.9.0”Œtabulate >=0.8.0”Œyfinance >=0.1.70”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ±o±ûçhEMv™hFˆubh)”}”(hŒfish2eod”h#Œ1.0a1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#fish2eod-1.0a1-pyhd8ed1ab_1.tar.bz2”h+Œ 92bba288bd92af58974a304f32275720”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/fish2eod-1.0a1-pyhd8ed1ab_1.tar.bz2”h0Œ@4b119ca59efdd1101a2b0c25b9220873f8129061e7b8e420f7fb729432aa97c2”h2NhNh3(Œdataclasses”Œfenics-dolfin 2019.1.0”Œ
gmsh 3.0.6”Œh5py”Œlxml”Œmatplotlib-base”Œ	meshio <5”Œnumpy”Œpandas”Œpetsc <3.17”Œpetsc4py <3.17”Œpytables”Œpython >=3.7”Œpyyaml”Œscipy”Œshapely”Œslepc <3.17”Œslepc4py <3.17”Œsuperlu_dist 7.2.0”Œtqdm”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ°$“O\)hEJìã hFˆubh)”}”(hŒr-proto”h#Œ1.0.0”h%Œr40ha770c72_2003”h'MÓhhh(h)hŒ&r-proto-1.0.0-r40ha770c72_2003.tar.bz2”h+Œ 94fe5e4c52f660e292ddf5ffcc381bc2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-proto-1.0.0-r40ha770c72_2003.tar.bz2”h0Œ@b0d1fa10e63573417dfdde9609a3d35d7bda8737aa5e84e4307c92644be1fb61”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ÝÐž—hEJHa hFˆubh)”}”(hŒ	r-logging”h#Œ0.10_108”h%Œr41ha770c72_3”h'Khhh(h)hŒ(r-logging-0.10_108-r41ha770c72_3.tar.bz2”h+Œ d0a6a38b084ec13c87eb72124e08b54c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-logging-0.10_108-r41ha770c72_3.tar.bz2”h0Œ@5c69d23e93332b9add9f8ac8cf16f165aed00b064845696a5de4cc6e8c65464b”h2NhNh3Œr-base 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>=4.2,<4.3.0a0”Œr-fts”Œr-mlogit”Œ	r-sfsmisc”Œr-vegan”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ‹³c÷ÏhEJ} hFˆubh)”}”(hŒr-groupedstats”h#Œ2.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-groupedstats-2.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 26d9bba17f8fde1dda15c5782b4a3b52”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-groupedstats-2.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@338dd891052428b93857b4f0361479a57e16ce653cb10e0af51b24a775b9d22c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broomextra”Œr-dplyr >=1.0.0”Œr-effectsize”Œr-glue”Œr-haven”Œr-ipmisc”Œr-lme4”Œr-parameters”Œr-purrr”Œr-rlang”Œr-skimr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ,zõåÒòhEJb hFˆubh)”}”(hŒ	r-howmany”h#Œ0.3_1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ(r-howmany-0.3_1-r41hc72bb7e_1002.tar.bz2”h+Œ 0aadf5160603a0a26c8b5791ec2da01b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-howmany-0.3_1-r41hc72bb7e_1002.tar.bz2”h0Œ@f3b6f0fa80e6badf053bc8e8705ac8736789d2cbd242e8858228e3a11e726a89”h2NhNh3Œr-base 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5fbda2d9fead858c66b5632896c6b855”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waterfall-1.0.2-r41hc72bb7e_3.tar.bz2”h0Œ@358e7e23df6addd84793ecf7db17e31f9f2e6a1a09ebf017b2c40982206f45d6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”†”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØÑËå“÷ÏhEM2·hFˆubh)”}”(hŒ
r-magrittr”h#Œ1.5”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ'r-magrittr-1.5-r40h6115d3f_1003.tar.bz2”h+Œ a7e3f0e4c83e8d01001bd05a1ada5e42”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-magrittr-1.5-r40h6115d3f_1003.tar.bz2”h0Œ@1fdcfea4685064451daa93d37296d2ebda5142d5f649d33b87e30aa50b5a52a0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×«0˜RMÓhEJÌ› hFˆubh)”}”(hŒr-ghostknockoff”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-ghostknockoff-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ ebc1e0a17d9ed362ae9a89e749acccf0”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ghostknockoff-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@c26167f3cb748842050367dca5d47dc3dc8aafc0daa48afd37c2c5c3b096167a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-corpcor”Œr-cvxr”Œr-gtools”Œr-matrix”Œr-rdsdp”Œ
r-rspectra”Œ
r-seqminer”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØkÚØ¾È´hEJ hFˆubh)”}”(hŒlibxrender-cos7-aarch64”h#Œ0.9.10”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libxrender-cos7-aarch64-0.9.10-h9d98e8f_1104.tar.bz2”h+Œ 40ed70e4809595b98e6aee78f39fbb61”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxrender-cos7-aarch64-0.9.10-h9d98e8f_1104.tar.bz2”h0Œ@910f938cff07b0f7c2dd609208c0ec2700241de386b5fef0fdb79809da13cac2”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~¹v{hEMÀ^hFˆubh)”}”(hŒatk-devel-cos6-x86_64”h#Œ1.30.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ2atk-devel-cos6-x86_64-1.30.0-ha826a6f_1103.tar.bz2”h+Œ 49670cdadf751a586f37cbc649dbc00f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos6-x86_64-1.30.0-ha826a6f_1103.tar.bz2”h0Œ@fd974a4e48e2827e4cf38483b66dcf7d9fa26e4686230f3a6ff72245a20595b1”h2NhNh3Œatk-cos6-x86_64 ==1.30.0 *_1103”Œ&glib2-devel-cos6-x86_64 >=2.6.0 *_1103”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ2ßó¶hEJ»… hFˆubh)”}”(hŒ	r-ggupset”h#Œ0.3.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-ggupset-0.3.0-r41hc72bb7e_1.tar.bz2”h+Œ 897b91450aa4fd1cb31dd4e2ab1f403a”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggupset-0.3.0-r41hc72bb7e_1.tar.bz2”h0Œ@7fe7e228f7d76c5629bbf9f2ab8f72bad217661ad3b9b99d2ab3c746677fe71a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gtable”Œr-rlang”Œr-scales”Œr-tibble”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+»Pl‹hEJý% hFˆubh)”}”(hŒr-scrime”h#Œ1.3.5”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-scrime-1.3.5-r35h6115d3f_0.tar.bz2”h+Œ 671b72d6425800f3e802a57d3a9de98c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-scrime-1.3.5-r35h6115d3f_0.tar.bz2”h0Œ@707cdd19d6116f35b28a7322ac7d1e5dd78c913f9d5d4c2ab7eac0dc5bdc796e”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×S¦Â;çmhEJ  hFˆubh)”}”(hŒr-jose”h#Œ1.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-jose-1.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 60954ecf66bc995d65c69b4cad9b0969”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-jose-1.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@3d094a29ab49d6643af270349ffaddc697c77018b82d3ba2627ab264222369b9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-openssl >=1.2.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ`”·KÇhEJÈÍ hFˆubh)”}”(hŒ
r-alluvial”h#Œ0.1_2”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ)r-alluvial-0.1_2-r41hc72bb7e_1004.tar.bz2”h+Œ 6c247901ae3ec6dbb57617b90dc3f96b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-alluvial-0.1_2-r41hc72bb7e_1004.tar.bz2”h0Œ@d571bbdd6c0b17406d6f876a836f0e38b62baadfb30c7b5462e9d4ec2cf863f7”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑÄì—®hEJÍ… hFˆubh)”}”(hŒauthenticatorpy”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*authenticatorpy-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 92f28e221309bd054f83c29be3017c83”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/authenticatorpy-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4e7518f5b7ef82dd788f350fa57f1b993372af3a6dfc5f9d0cf05b01f7a5794a”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØö‘7\)hEMß#hFˆubh)”}”(hŒr-framecleaner”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-framecleaner-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ 8bd2330aa95cd71af83d0797ba98ecfc”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-framecleaner-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@06f2a145501a08932965a76860c4a58edafeefa2488a4ad282fa6f8242a3ff39”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bit64”Œr-dplyr”Œr-fastdummies”Œ	r-forcats”Œr-fs”Œ	r-janitor”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-rio”Œr-rlang”Œr-rlist”Œr-rstudioapi”Œ	r-stringr”Œr-tibble”Œr-tidyselect”Œr-vroom”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ§¿DÏ;dhEJëÉ hFˆubh)”}”(hŒ	r-treesim”h#Œ2.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-treesim-2.4-r41hc72bb7e_1.tar.bz2”h+Œ 79635f5638d9ee52b78e00e013c2ac34”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-treesim-2.4-r41hc72bb7e_1.tar.bz2”h0Œ@b4e8f24c84d5cef73e848cbaf94477380fad6e076ba435409e5a90622406b8f4”h2NhNh3Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-geiger”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+é­ƒ×
hEJUä hFˆubh)”}”(hŒnapari-allencell-annotator”h#Œ1.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5napari-allencell-annotator-1.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ a8a7432d0ac0462e476a92ad967f1171”h.Œchttps://conda.anaconda.org/conda-forge/noarch/napari-allencell-annotator-1.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@eab96b9fb9d19d25a0805bf15664f3d7812363b117f1f468a38ca40c0d6434ab”h2NhNh3(Œaicsimageio >=4.0.5”Œaicssegmentation >=0.4.1”Œmagicgui >=0.2.9”Œnapari >=0.4.9”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpsygnal”Œpython >=3.7”Œqtpy”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÕ} ¨ƒhEMn|hFˆubh)”}”(hŒdocxtpl”h#Œ0.11.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#docxtpl-0.11.5-pyhd8ed1ab_0.tar.bz2”h+Œ dcf64b7c64919ee67f28f22f6dab7043”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/docxtpl-0.11.5-pyhd8ed1ab_0.tar.bz2”h0Œ@47a16de640953f5b39c307b54172f2bcf36cc6458429e3b9553b626971f1977e”h2NhNh3(Œjinja2”Œlxml”Œpython >=3.6”Œpython-docx”Œsix”t”h9h?h@ŒLGPL-2.1-only”hBŒLGPL”hDGAØ&áë…hEMbhFˆubh)”}”(hŒgtkmm24-devel-cos6-x86_64”h#Œ2.18.2”h%Œha826a6f_103”h'Kghhh(h)hŒ5gtkmm24-devel-cos6-x86_64-2.18.2-ha826a6f_103.tar.bz2”h+Œ f0ec22e65d7238240a6c16ec69f87649”h.Œchttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos6-x86_64-2.18.2-ha826a6f_103.tar.bz2”h0Œ@745b5ebc8c7b21945c66bbece3ac29ea6eeaaf09e3f3f82db752e5b8b2a5199e”h2NhNh3Œ"gtkmm24-cos6-x86_64 ==2.18.2 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{›2¬hEJF‹ hFˆubh)”}”(hŒmarshmallow-sqlalchemy”h#Œ0.26.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2marshmallow-sqlalchemy-0.26.1-pyhd8ed1ab_0.tar.bz2”h+Œ ec0b788dbf26d06cb770a955c01780a2”h.Œ`https://conda.anaconda.org/conda-forge/noarch/marshmallow-sqlalchemy-0.26.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ac7fdc6e8a485d9dd730c18d3063ef049500c93a27013ea3fba87a1d146a73dd”h2NhNh3Œmarshmallow >=2.15.2”Œpython >=3.6”Œsqlalchemy >=1.2.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ/HU+hEM<AhFˆubh)”}”(hŒinspiral-range”h#Œ0.3.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)inspiral-range-0.3.1-pyh9f0ad1d_0.tar.bz2”h+Œ 3c9e9fabfb0999ca66833c1e2657e881”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/inspiral-range-0.3.1-pyh9f0ad1d_0.tar.bz2”h0Œ@c236ee68d01d35ba55941f9db8b4ae72f513cbc871997abd9e6fd72b075aa005”h2NhNh3Œastropy”Œpython”Œscipy”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×ºµÖ“hEJj” hFˆubh)”}”(hŒlibxxf86vm-devel-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxxf86vm-devel-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h+Œ a1a96f7fdca420bbc72a84c2abe99dc9”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h0Œ@9e584c7dc04fc4e61ac240bda25dc6d7255411475d8f99e32fd507da037d2b72”h2NhNh3Œ&libxxf86vm-cos7-ppc64le ==1.1.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ4OŽùÛhEM½0hFˆubh)”}”(hŒmesa-libglapi-cos7-ppc64le”h#Œ18.3.4”h%Œ
h1341992_0”h'K hhh(h)hŒ4mesa-libglapi-cos7-ppc64le-18.3.4-h1341992_0.tar.bz2”h+Œ af1631d16b4eeef9e317a62209bd284e”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-ppc64le-18.3.4-h1341992_0.tar.bz2”h0Œ@5c1adec4767c93848d0d64b75bdda759b776a15ba81f68114bbe8b1f6fcaf524”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ŒÓ±i‡hEMZ´hFˆubh)”}”(hŒim-pipelines-utils-rdkit”h#Œ1.5.11”h%Œpyh8c360ce_0”h'K hhh(h)hŒ4im-pipelines-utils-rdkit-1.5.11-pyh8c360ce_0.tar.bz2”h+Œ a95783840e9261621cbed1c6c768b7bb”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/im-pipelines-utils-rdkit-1.5.11-pyh8c360ce_0.tar.bz2”h0Œ@f3e4025833e1564b1f7e0af17c2d562f41abdb9a24b7f30a7b12ea40d1151b4f”h2NhNh3Œim-pipelines-utils”Œpython”Œrdkit”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×š}Yê^5hEMçPhFˆubh)”}”(hŒ
r-corrgram”h#Œ1.14”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-corrgram-1.14-r40hc72bb7e_0.tar.bz2”h+Œ 2901b3908c049f1aa03027d6cb6cd7e4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-corrgram-1.14-r40hc72bb7e_0.tar.bz2”h0Œ@60ec2c074f3d4de7977bac176f5940e85d91c18b9f6452a148516a1f20431c01”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ"Ááë…hEJ¦ hFˆubh)”}”(hŒ	r-biomark”h#Œ0.4.5”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ(r-biomark-0.4.5-r35h6115d3f_1002.tar.bz2”h+Œ 469517cb1a47890f3613552fc80f4212”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-biomark-0.4.5-r35h6115d3f_1002.tar.bz2”h0Œ@79ee7c0c1127569808a9520f26f2595b055187f1fefc444e791bfa521fafb414”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-glmnet”Œr-mass”Œr-pls”Œr-st >=1.1.6”t”h9hºh@Œ
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r-oriclust”h#Œ1.0_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-oriclust-1.0_2-r41hc72bb7e_0.tar.bz2”h+Œ 0c81904c1ebb1fd60618740abf00c9b2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-oriclust-1.0_2-r41hc72bb7e_0.tar.bz2”h0Œ@199786efadbf73f81e9adf8859edd236e36b1712d6154e6c34ae0fddcdc72035”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ­N%¸hEJ[W hFˆubh)”}”(hŒpysmb”h#Œ1.2.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pysmb-1.2.7-pyhd8ed1ab_0.tar.bz2”h+Œ a0b3a7b2490e1651556a84886ec1a182”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pysmb-1.2.7-pyhd8ed1ab_0.tar.bz2”h0Œ@0cf8fde265f347b71ee06aa43a9d9b8d6c6f83e0a215bec2c28e2ca1c299a0bf”h2NhNh3Œpyasn1”Œpython >=3.6”†”h9h?h@ŒZlib”hDGAØ6Xl¸hEJ hFˆubh)”}”(hŒr-textfeatures”h#Œ0.3.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ*r-textfeatures-0.3.3-r36h6115d3f_0.tar.bz2”h+Œ 9cc2b41b3844b4cd6dfa8695e413d939”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-textfeatures-0.3.3-r36h6115d3f_0.tar.bz2”h0Œ@6fd966bc5c8f01d05f1e9f034ebb4e2bc45c394e8537ad09654edcd88c7ae2cb”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-purrr”Œr-rlang”Œ
r-text2vec”Œr-tfse”Œr-tibble”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGA×dÄ	~ffhEJ†% hFˆubh)”}”(hŒez_setup”h#Œ0.9”h%Œpy_0”h'K hhh(h)hŒez_setup-0.9-py_0.tar.bz2”h+Œ 6d7bb2cf8550e3ea9fd809ffee255a6d”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/ez_setup-0.9-py_0.tar.bz2”h0Œ@72511a886c3dbaa9c5e6e8db225b486d2a0e60414cfcbbdfc96e279f83879247”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hEM1hFˆubh)”}”(hŒmatplotlibhelper”h#Œ0.0.10”h%Œpy_0”h'K hhh(h)hŒ$matplotlibhelper-0.0.10-py_0.tar.bz2”h+Œ e8a70361513b3e0d329ab861fb26db59”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/matplotlibhelper-0.0.10-py_0.tar.bz2”h0Œ@4acf6d06e9e1e604720e28ac9a4c6cdcc85a8abb75e9438385371a529858c4ec”h2NhNh3(Œipython”Œ
matplotlib”Œnumpy”Œpandas”Œpython >=3.6”Œsugartex >=0.1.16”t”h9h?h@ŒMIT”hBŒMIT”hDGA×}Ð–¸RhEJ ‡ hFˆubh)”}”(hŒ	r-faraway”h#Œ1.0.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-faraway-1.0.8-r41hc72bb7e_0.tar.bz2”h+Œ c62d6832cd461ee25c4c2dde9d2cda19”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-faraway-1.0.8-r41hc72bb7e_0.tar.bz2”h0Œ@9ae1b6531bd27926bd7a3ac6d841af44c39285e230f89828304f29a5842fe846”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lme4”Œr-nlme”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÁSÄÓçmhEJ±C hFˆubh)”}”(hŒbotocore”h#Œ1.10.15”h%Œpy_0”h'K hhh(h)hŒbotocore-1.10.15-py_0.tar.bz2”h+Œ 31fb0d7e6aee5838b562902e5d8dcc4b”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/botocore-1.10.15-py_0.tar.bz2”h0Œ@5b82cc9bc1fe2c7f73e1357d5ba202e119cd01425a7a2701cc8c0037552f5dac”h2NhNh3(Œdocutils >=0.10”Œjmespath >=0.7.1,<1.0.0”Œpython”Œpython-dateutil >=2.1,<3.0.0”t”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAÖ¼KÒ«hEJ¹8) hFˆubh)”}”(hŒ	morfessor”h#Œ2.0.6”h%Œpy_1”h'Khhh(h)hŒmorfessor-2.0.6-py_1.tar.bz2”h+Œ abb59233e6d4884af3ebb1abcac3bbe5”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/morfessor-2.0.6-py_1.tar.bz2”h0Œ@d6dfae5409a035e44d12723dc9e6a6e01a8c7958ab8f3715d38a22eafd0455d9”h2NhNh3Œpython”…”h9h?h@ŒBSD 2-Clause”hDGA×Pe\Bn˜hEMm|hFˆubh)”}”(hŒglib2-devel-cos7-ppc64le”h#Œ2.56.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4glib2-devel-cos7-ppc64le-2.56.1-h9b0a68f_105.tar.bz2”h+Œ 7b4d416b1e26bb1247d71b192f953a9a”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-ppc64le-2.56.1-h9b0a68f_105.tar.bz2”h0Œ@8e085d8ac8e0fa80faf2037ae094cbd29fa3e51f370e7bda6fc52559205a91fd”h2NhNh3Œ!glib2-cos7-ppc64le ==2.56.1 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@‰¬ZhEJ¹& hFˆubh)”}”(hŒ	r-sparktf”h#Œ0.1.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ%r-sparktf-0.1.0-r40hc72bb7e_2.tar.bz2”h+Œ 149f3f9d327b0f88171125b92f7fe89b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sparktf-0.1.0-r40hc72bb7e_2.tar.bz2”h0Œ@56933fb9d7bd60ad73557cc88a24f358986e762d2777e7c7608fbd7a9fe575c2”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-sparklyr >=1.0”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ+°”{Æ¨hEM>thFˆubh)”}”(hŒ
bunqexport”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%bunqexport-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3138df0287868282d8d215753e38af89”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/bunqexport-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@2fddc97a3fee1f242b44effcdb7ff6765b447d4853a53ca45480c97fb04d5c79”h2NhNh3Œbunq-sdk >=1.14.0,<2.0.0”Œpandas >=1.2.0,<2.0.0”Œpython >=3.7”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØZ¹g|îhEM¦mhFˆubh)”}”(hŒ
pylatexenc”h#Œ2.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pylatexenc-2.10-pyhd8ed1ab_0.tar.bz2”h+Œ 5e7334d0c15d59b0861d4474c6eae36b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pylatexenc-2.10-pyhd8ed1ab_0.tar.bz2”h0Œ@d18557b23d08afcd824611447731b1583f843fdba48a375b5a484d2202b579fb”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ´¬hEJ­‰ hFˆubh)”}”(hŒr-maybe”h#Œ1.0.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ#r-maybe-1.0.0-r41h785f33e_0.tar.bz2”h+Œ b4369a7f02ae992136e77e3261335aee”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-maybe-1.0.0-r41h785f33e_0.tar.bz2”h0Œ@7a63ffe21cb636c45fdcdb5106785814e4e0fe257f746f54c063f7f1856e0c78”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÓÿžÀƒhEJs hFˆubh)”}”(hŒ
historydag”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%historydag-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 19ad664be374e706df30bb0d4038dbf4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/historydag-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2ead914472370aa135bbb7c1c36f08d0dcfdff13919c7389636891c3438e1e6e”h2NhNh3(Œ	biopython”Œete3”Œpyqt”Œpython >=3.7”Œpython-graphviz”Œsix”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ±pÓ”¼jhEMô hFˆubh)”}”(hŒr-piggyback”h#Œ0.1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-piggyback-0.1.4-r41hc72bb7e_1.tar.bz2”h+Œ 650d598c5c6a4f5ef0f1289e880e65b7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-piggyback-0.1.4-r41hc72bb7e_1.tar.bz2”h0Œ@b3ab934297660d9ffb53d30678d62677a4a6bf469a847ddd8905980d92d422e4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-fs”Œr-gh”Œr-glue”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ	r-memoise”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ6ÂË¥ãhEJQ	 hFˆubh)”}”(hŒcomponent-contribution”h#Œ0.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1component-contribution-0.4.4-pyhd8ed1ab_0.tar.bz2”h+Œ 1bd520e3d24a6c6b47f5938b198d628d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/component-contribution-0.4.4-pyhd8ed1ab_0.tar.bz2”h0Œ@5d7c27800f1d0cee2d211bc85ba318ec8baa18c7a87171d5997d624507204c2f”h2NhNh3(Œequilibrator-cache ~=0.4.3”Œpath ~=15.0”Œperiodictable ~=1.5”Œpython >=3.6”Œuncertainties ~=3.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ7ÿgl›¦hEM_hFˆubh)”}”(hŒsysroot_linux-s390x”h#Œ2.17”h%Œhc882541_13”h'Khhh(h)hŒ,sysroot_linux-s390x-2.17-hc882541_13.tar.bz2”h+Œ 8a20b482a8376b8d3063db73184320bc”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot_linux-s390x-2.17-hc882541_13.tar.bz2”h0Œ@b94fcdca3fab73d8a41cb0353f11bb97fc12b0933f7415fbd139590a4a0a38b2”h2NhNh3Œ-kernel-headers_linux-s390x 3.10.0 h406d98a_13”Œ+_sysroot_linux-s390x_curr_repodata_hack 4.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ_à5?}hEJåIhFˆubh)”}”(hŒ
r-conicfit”h#Œ1.0.4”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ)r-conicfit-1.0.4-r41ha770c72_1003.tar.bz2”h+Œ 17d9418fb38c983d004bba92782bbfd6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-conicfit-1.0.4-r41ha770c72_1003.tar.bz2”h0Œ@749b08b93a9fab585650fbeab2666e55305eeb1e9a08e51225ac979b2076a8dd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-geigen”Œr-pracma”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÒË´:°!hEJÐ£ hFˆubh)”}”(hŒspake2”h#Œ0.8”h%j¶¤ h'Khhh(h)hŒspake2-0.8-2.tar.bz2”h+Œ 98e4ce1bb27d13b21c2a157c6d97622b”h.ŒBhttps://conda.anaconda.org/conda-forge/noarch/spake2-0.8-2.tar.bz2”h0Œ@22196660c665df8039705ac1fbd081b67e8beb506c9491b3bc4da0d160876bb5”h2NhNh3Œhkdf”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖ¿€†B~úhEMûŠhFˆubh)”}”(hŒr-benchmarkmedata”h#Œ1.0.4”h%Œr36h6115d3f_1”h'Khhh(h)hŒ-r-benchmarkmedata-1.0.4-r36h6115d3f_1.tar.bz2”h+Œ 36c4e679a99da89fb47d54d505399317”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-benchmarkmedata-1.0.4-r36h6115d3f_1.tar.bz2”h0Œ@5f8f9835bb5c2e778dde2e5dc7061b8efd8cbb3678d27d6e4c4138c7a8e05b76”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-tibble”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×«ü%ïžhEJA³ hFˆubh)”}”(hŒdjango-bakery”h#Œ0.9.2”h%Œpy_0”h'K hhh(h)hŒ django-bakery-0.9.2-py_0.tar.bz2”h+Œ b0e018b1bfe666bd820c83f41cdd8370”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/django-bakery-0.9.2-py_0.tar.bz2”h0Œ@7a8ec8257b34684d7ea72271e7ebbdfe85a0aa0102c78bcecdbecba85b96eb0f”h2NhNh3(Œboto3 >=1.4.4”Œdjango”Œpython”Œ
six >1.5.2”t”h9h?h@ŒMIT”hBŒMIT”hEMøUhFˆubh)”}”(hŒr-tablerdash”h#Œ0.1.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-tablerdash-0.1.0-r41hc72bb7e_2.tar.bz2”h+Œ 7a671da9eaafdbeddcf31fa86e5ce1e8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tablerdash-0.1.0-r41hc72bb7e_2.tar.bz2”h0Œ@320f93681a1b64b59abceb4c0fbd15e804fa81acf1656b446b3ca0bf5d31b3f8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-knitr”Œr-shiny”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ,  žÈ´hEJÁô hFˆubh)”}”(hŒr-ineq”h#Œ0.2_13”h%Œr351h6115d3f_0”h'K hhh(h)hŒ$r-ineq-0.2_13-r351h6115d3f_0.tar.bz2”h+Œ 9fbde3d43854fae552317c73cd48757a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ineq-0.2_13-r351h6115d3f_0.tar.bz2”h0Œ@d6c451c66910d8ef6a82f48d243b316e75749be7deb1c36180f1cefbf8e56bd5”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×–%KÇhEJ	l hFˆubh)”}”(hŒcp2k-input-tools”h#Œ0.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+cp2k-input-tools-0.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ cb87cd6700bc02d07d96949f5c9730bd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/cp2k-input-tools-0.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@07da40de62c3639808335f65bdaa64d428e0c8f8d174094fa7690123111ba5e1”h2NhNh3(Œclick >=7.1.2,<9”Œjinja2 >=2.11.3,<4.0.0”Œpint >=0.15,<0.18”Œpydantic >=1.8.2,<2.0.0”Œpython >=3.7”Œtransitions >=0.7,<0.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶«g\)hEJç£ hFˆubh)”}”(hŒr-smoothmest”h#Œ0.1_3”h%Œr41ha770c72_0”h'K hhh(h)hŒ(r-smoothmest-0.1_3-r41ha770c72_0.tar.bz2”h+Œ bc030fe0c2a4b49b085e267507c17061”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-smoothmest-0.1_3-r41ha770c72_0.tar.bz2”h0Œ@f8e6d4c2e2792fc7c3cca99c53bb05a6cb6a9285bb176f289e373ee498e08161”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL”hBŒGPL”hDGAØšw»l1hEJ>- hFˆubh)”}”(hŒverboselogs”h#Œ1.7”h%Œpy_0”h'K hhh(h)hŒverboselogs-1.7-py_0.tar.bz2”h+Œ ffce1c9059a29251d27b0075c41d83f3”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/verboselogs-1.7-py_0.tar.bz2”h0Œ@f093a74afb468aade33ddf2a951e824a3cd715c34459ede78fc546063b614f7b”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐÜ1º^hEMU"hFˆubh)”}”(hŒlibglvnd-opengl-cos7-x86_64”h#Œ1.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libglvnd-opengl-cos7-x86_64-1.0.1-h9d98e8f_1104.tar.bz2”h+Œ c5238ef7148e049cfab2db0ef54f3546”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libglvnd-opengl-cos7-x86_64-1.0.1-h9d98e8f_1104.tar.bz2”h0Œ@afa2dc51f39316ab2b9e133a572d754388e6eedd0b22f1a5fdc763a9587f44a8”h2NhNh3Œ#libglvnd-cos7-x86_64 ==1.0.1 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ59lûçhEM¢òhFˆubh)”}”(hŒjupyter-panel-proxy”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒ&jupyter-panel-proxy-0.1.0-py_0.tar.bz2”h+Œ 80c21feab6100e287707c371c752adea”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/jupyter-panel-proxy-0.1.0-py_0.tar.bz2”h0Œ@2fb87368ff1e44e24b177c1786dc4227135efbc5bd54bceab5c0f7b85c39ed72”h2NhNh3Œjupyter-server-proxy”Œpanel”Œ
python >=3”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×sTU-/hEM™hFˆubh)”}”(hŒitsdangerous”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'itsdangerous-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 030cb050b845611262dcd3ee1c66316b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/itsdangerous-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a822564add4f0a27d90f3a790d23cc85c84190cb8f48ca947d2f4ea5ef1ac42c”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ) L¶hEMÏDhFˆubh)”}”(hŒmunch”h#Œ2.5.0”h%Œpy_0”h'K hhh(h)hŒmunch-2.5.0-py_0.tar.bz2”h+Œ 31d9e9be500e25ff0050bc9f57a6bcd7”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/munch-2.5.0-py_0.tar.bz2”h0Œ@bd885bec8b012abf0c5ca5d6225caf0e88e5b2b0af8fa5a4e4d339604d3e9cd1”h2NhNh3Œpython”Œsetuptools >=17.1”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×nbåÂñªhEM…1hFˆubh)”}”(hŒr-codemetar”h#Œ0.3.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-codemetar-0.3.5-r41hc72bb7e_0.tar.bz2”h+Œ 518c8dd5038e8a52798ae33fedc74bc1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-codemetar-0.3.5-r41hc72bb7e_0.tar.bz2”h0Œ@fb88763f761f5b2cd0db4a918b8ad600b944cbdda5b95a068b834eba82926e95”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œ
r-codemeta”Œr-commonmark”Œr-crul”Œr-desc”Œr-gert”Œr-gh”Œr-jsonlite >=1.6”Œ
r-magrittr”Œ	r-memoise”Œr-pingr”Œr-purrr”Œ	r-remotes”Œr-sessioninfo”Œ
r-urltools”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÄŸý1hEJÐÔ hFˆubh)”}”(hŒr-lotri”h#Œ0.2.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-lotri-0.2.2-r36h6115d3f_0.tar.bz2”h+Œ 9f4f18f2a28b1f9909e3c96bc82df799”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lotri-0.2.2-r36h6115d3f_0.tar.bz2”h0Œ@449d166e655c0ae45936597ede4aa13d52dbf39cd62d0ccfb0eb972cae6e0470”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-matrix”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×´`Ù%hEJ} hFˆubh)”}”(hŒopensm-libs-cos7-aarch64”h#Œ3.3.21”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5opensm-libs-cos7-aarch64-3.3.21-h9b0a68f_1105.tar.bz2”h+Œ 761bce014d8808d862b659962288fc53”h.Œchttps://conda.anaconda.org/conda-forge/noarch/opensm-libs-cos7-aarch64-3.3.21-h9b0a68f_1105.tar.bz2”h0Œ@625649709a1c761bfc0614b279b004913ceda841d81f9fc6b4992b7d33dbc61d”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJb=qhEJ! hFˆubh)”}”(hŒnapari-ndtiffs”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)napari-ndtiffs-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ eaa48c02fc0c7c969996a7f1f1d11787”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/napari-ndtiffs-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@3a81d5b47c417ed512c8738ae941c39dad5490a1c2f8ebc6c5dac9c38f3f25ac”h2NhNh3(Œ	dask-core”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpyopencl”Œpython >=3.7”Œpython-dateutil”Œscipy”Œtifffile”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ|¸›E¢hEM_GhFˆubh)”}”(hŒcobra-component-models”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒ)cobra-component-models-0.5.0-py_0.tar.bz2”h+Œ d7b91165e7548dada9c420fbcfda6761”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/cobra-component-models-0.5.0-py_0.tar.bz2”h0Œ@fddd4c0f585c5688e61065d0032f716f526c45ab45169ba3314cbba3b4a01e95”h2NhNh3(Œdepinfo”Œpydantic”Œpython >=3.8”Œ
sqlalchemy”t”h9h?h@Œ
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r-jsonlite”Œ	r-keyring”Œr-r6”Œr-readr”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØØ,$1hEJÈ4  hFˆubh)”}”(hŒ
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reg >=0.12”Œwebob >=1.7.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Œ¨UÔIºhEJßm hFˆubh)”}”(hŒr-shinypanel”h#Œ0.1.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-shinypanel-0.1.5-r41hc72bb7e_1.tar.bz2”h+Œ 6ed3c35d0a3c01dd03856f76b1eb7cc2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinypanel-0.1.5-r41hc72bb7e_1.tar.bz2”h0Œ@55b0342d3cf18bf3471d4b54a75d81360ccbd96e4c2866a886632d58d3131624”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œ
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r-reshape2”Œr-rhpcblasctl”t”h9hºh@Œ
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matplotlib”Œmsgpack-numpy”Œmsgpack-python”Œnumpy”Œophyd”Œpython >=3.6”Œpyzmq”Œsuper_state_machine”Œtoolz”Œtqdm”Œzict”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Á0M/hEJKU hFˆubh)”}”(hŒlibx11-cos7-ppc64le”h#Œ1.6.7”h%Œh1795305_1101”h'MMhhh(h)hŒ/libx11-cos7-ppc64le-1.6.7-h1795305_1101.tar.bz2”h+Œ 20951a51c4d1e9b7b9838be09d40df5f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libx11-cos7-ppc64le-1.6.7-h1795305_1101.tar.bz2”h0Œ@d225fa6893193ed25de92fbc3d16bf57b917a6872aeaba5538a9cb95699d36ba”h2NhNh3Œ"libx11-common-cos7-ppc64le >=1.6.7”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅŠfÈ´hEJÉ- hFˆubh)”}”(hŒr-slim”h#Œ0.1.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ%r-slim-0.1.1-r42hc72bb7e_1003.tar.bz2”h+Œ 87a5d6be5855ab7fdc213facdd690797”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-slim-0.1.1-r42hc72bb7e_1003.tar.bz2”h0Œ@1edba9b2863bd2f2ea012c4e21033937e97b1efa2bec56fbd7986b3ebf4abaaa”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.9.6”Œr-mass >=7.3”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒù”›¦hEJøX hFˆubh)”}”(hŒ	r-reutils”h#Œ0.2.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-reutils-0.2.3-r36h6115d3f_1.tar.bz2”h+Œ b0ffc237f824b1e9387eb5aa6d2a1435”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reutils-0.2.3-r36h6115d3f_1.tar.bz2”h0Œ@2b89b46e0b34bd77867cfa0a1b01dbae3915d1c42c8ed23023170ada35bae288”h2NhNh3(Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œ
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r-testthat”Œr-tibble”t”h9hºh@Œ
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r-reshape2”Œr-rlang”Œr-tibble”Œr-tidyr”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØ,=Ó¥ãhEJ	â hFˆubh)”}”(hŒr-vipor”h#Œ0.4.5”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ&r-vipor-0.4.5-r41hc72bb7e_1004.tar.bz2”h+Œ dc9fc6f6fb892a36f6e2ccae41757d8a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-vipor-0.4.5-r41hc72bb7e_1004.tar.bz2”h0Œ@958c0465412e253fe2fb2033fb017910d3100e9b5d2417c7fbd502cecf345c2f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐ¿@[…hEJÕ5D hFˆubh)”}”(hŒr-sparql”h#Œ1.16”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ&r-sparql-1.16-r42hc72bb7e_1005.tar.bz2”h+Œ 268d779e0abb302c0a4f5e3eb0b8af39”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparql-1.16-r42hc72bb7e_1005.tar.bz2”h0Œ@70c547dde41db0b817e37c0fd8d5fc2277c8c09397db149df0f6045dfd480495”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rcurl”Œr-xml”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒÊÇ²hEM€ÜhFˆubh)”}”(hŒpyaxiom”h#Œ1.4.6”h%Œpy_1”h'Khhh(h)hŒpyaxiom-1.4.6-py_1.tar.bz2”h+Œ ddc7f9d4f5ef712798bc5153bee64dbc”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pyaxiom-1.4.6-py_1.tar.bz2”h0Œ@8dd278e6ae0621e6ec1cd91637b04262ecd0b01c62a01b99dcb7d1ee8fcc8ae2”h2NhNh3(Œnetcdf4”Œnumpy”Œpandas”Œpyncml”Œpynco”Œpython”Œpython-dateutil”Œpytz”Œ
simplejson”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÜÈþhEM“­hFˆubh)”}”(hŒspymx-kernels”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(spymx-kernels-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 3cfa6413c5b951686c7e229569d959a1”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/spymx-kernels-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@04beda60a260d50e462a2c9f99a8a0640b887b8d6cc9daa8c59fc2eee856181a”h2NhNh3Œpython >=3.6”Œspyder-kernels >=1.8.1”†”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÉoöÛt¼hEM
hhFˆubh)”}”(hŒ	r-mdscore”h#Œ0.1_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-mdscore-0.1_3-r41hc72bb7e_0.tar.bz2”h+Œ 347e148d8eae9ae3f4036a87147a4ef6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mdscore-0.1_3-r41hc72bb7e_0.tar.bz2”h0Œ@6cf9c7e8b87b8c95503592e7f8c64787334ea261ac66a79b1a75531ed46ae4d6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ:½ôµ?}hEMôÊhFˆubh)”}”(hŒr-slippymath”h#Œ0.3.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-slippymath-0.3.1-r40hc72bb7e_1.tar.bz2”h+Œ 305552280251f1921d33d2d9d2750308”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-slippymath-0.3.1-r40hc72bb7e_1.tar.bz2”h0Œ@53b432822405d766a63cd48e893fd73df2dec31550f94321ca2e94d4dc327479”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-png”Œr-purrr”Œr-raster”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*þRJhEJ\º" hFˆubh)”}”(hŒlibxi-devel-cos7-aarch64”h#Œ1.7.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libxi-devel-cos7-aarch64-1.7.9-h9d98e8f_104.tar.bz2”h+Œ 644dbb4a9cabc1f6fb11d64a91eb2ff3”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-aarch64-1.7.9-h9d98e8f_104.tar.bz2”h0Œ@f246f8ffc1a0937d03c8b6a2324b9038c715a7f24cb0489015bc7413c7f00e2b”h2NhNh3Œ libxi-cos7-aarch64 ==1.7.9 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}¶»ohEJRu hFˆubh)”}”(hŒpython-coreapi”h#Œ2.3.3”h%Œpy_0”h'K hhh(h)hŒ!python-coreapi-2.3.3-py_0.tar.bz2”h+Œ 7a61886059ebcbee76882d2ed727e15a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/python-coreapi-2.3.3-py_0.tar.bz2”h0Œ@0bae5d5ca7a3fd6963b922eaaef5543e1dca9ee5d731b4ba7d5016edc40264e0”h2NhNh3(Œitypes”Œpython”Œpython-coreschema”Œrequests”Œuritemplate”t”h9h?h@ŒBSD”hBŒBSD”hDGAÖÂ4í‘hEMALhFˆubh)”}”(hŒr-r6”h#Œ2.5.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ r-r6-2.5.1-r41hc72bb7e_1.tar.bz2”h+Œ 04cf390ece28f6df5c096f78409a9b41”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-r6-2.5.1-r41hc72bb7e_1.tar.bz2”h0Œ@63bfc44c14262bbd8d2f518179700fc72161f23c4ec97534c63c2bf2a20ea7a8”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ&es33hEJi hFˆubh)”}”(hŒpolling2”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#polling2-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0b383f3aad5d47a5147ed3803e0817ca”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/polling2-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a8364b3acac6ad33cc9d536c393c17a571e20451dc2ca70f4d7f9721916b6b07”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ`ƒuó¶hEM…'hFˆubh)”}”(hŒlibxfixes-cos6-x86_64”h#Œ5.0.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ1libxfixes-cos6-x86_64-5.0.3-hdf0574f_1102.tar.bz2”h+Œ 2a462b7b1932b7fa01b98ecd8201d724”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxfixes-cos6-x86_64-5.0.3-hdf0574f_1102.tar.bz2”h0Œ@06cbef6b4c6dcc83ec9c6d8c25c67934a92d13ae8d114c0ad619595b1c0d32e0”h2NhNh3Œlibx11-cos6-x86_64 >=1.6 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´Æ¹%hEMÅ4hFˆubh)”}”(hŒsetuptools-markdown”h#Œ0.4.1”h%Œpy_0”h'K hhh(h)hŒ&setuptools-markdown-0.4.1-py_0.tar.bz2”h+Œ b8f2f5ba196d56eb7ae42ae002762876”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/setuptools-markdown-0.4.1-py_0.tar.bz2”h0Œ@aaa6d74b287e339ff788ed983369b3d8e56e89993da4d0600872492f92e0c358”h2NhNh3Œpypandoc”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×UˆÄœhEM…hFˆubh)”}”(hŒlibnl3-devel-cos6-x86_64”h#Œ3.2.21”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libnl3-devel-cos6-x86_64-3.2.21-h9d98e8f_1104.tar.bz2”h+Œ a9763caea7968cfef85a2c80e901d9ed”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos6-x86_64-3.2.21-h9d98e8f_1104.tar.bz2”h0Œ@fa218894cfeee07cfcb0e93f7caad429a25fc648ad1e68bbc760b572eb2dba79”h2NhNh3Œ&libnl3-cli-cos6-x86_64 ==3.2.21 *_1104”Œ"libnl3-cos6-x86_64 ==3.2.21 *_1104”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É}€¬ÌÍhEMÐ²hFˆubh)”}”(hŒr-ggedit”h#Œ0.3.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-ggedit-0.3.1-r41hc72bb7e_2.tar.bz2”h+Œ d67cceab16c9ffe02e2ea72185bb9747”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggedit-0.3.1-r41hc72bb7e_2.tar.bz2”h0Œ@0bd64817c0ee531f0ef56c868d93941d89039909656244613a236e4ccbb716e0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-colourpicker >=0.2”Œr-dplyr >=1.0.0”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-miniui”Œr-plyr”Œr-purrr”Œr-rlang”Œr-rstudioapi”Œr-scales”Œr-shiny”Œ
r-shinyace”Œ	r-shinybs”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒw[^éyhEJÑ hFˆubh)”}”(hŒpysignal”h#Œ1.1.4”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ#pysignal-1.1.4-pyhd3deb0d_0.tar.bz2”h+Œ b6e141add9567ca549d9ad6662271f00”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pysignal-1.1.4-pyhd3deb0d_0.tar.bz2”h0Œ@37b884976b946182389e61029a16f66123828ff23462b0986ab8bfb400690229”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×èq·
ÀƒhEM¨"hFˆubh)”}”(hŒmesa-libegl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ:mesa-libegl-devel-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h+Œ 080c759fc8dd7c90f7b46d683285b544”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h0Œ@1529c8fbc41ce70903f6d47930f1c3effd843ee642a849f49f6e413c327c3af6”h2NhNh3Œ'mesa-libegl-cos7-ppc64le ==18.3.4 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+º/KÇhEM^JhFˆubh)”}”(hŒlibsepol-cos7-aarch64”h#Œ2.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libsepol-cos7-aarch64-2.5-h9b0a68f_105.tar.bz2”h+Œ b53cbb486156f5d60fa48561b321d6fa”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-aarch64-2.5-h9b0a68f_105.tar.bz2”h0Œ@bf1a305123b500f5fef32397c4984279b3bf7272c80e4995cbb3600cf2178c3a”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@VîC–hEJÞR hFˆubh)”}”(hŒr-networktoolbox”h#Œ1.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-networktoolbox-1.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 904505518eec5c0db5f5c695a87482be”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-networktoolbox-1.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@a9fb85f9fa6dd6b1b405fcedcafe58ea94cd3d480c0353dc9c54437df44b207d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-corrplot”Œr-doparallel”Œ	r-fdrtool”Œ	r-foreach”Œr-igraph”Œ
r-isingfit”Œr-mass”Œ	r-pbapply”Œr-ppcor”Œr-psych”Œr-pwr”Œr-qgraph”Œ
r-r.matlab”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ=,Âô1hEJ›d hFˆubh)”}”(hŒr-librarian”h#Œ1.8.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-librarian-1.8.1-r41hc72bb7e_0.tar.bz2”h+Œ a4077e82f519410f7f997ccf497129c4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-librarian-1.8.1-r41hc72bb7e_0.tar.bz2”h0Œ@310e5ba578879fc0d15f4d552c0559c231aa77dd1b5415471d0d6103f89fef65”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-biocmanager”Œ	r-remotes”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL”hDGAØ`³MxbNhEJ©µ hFˆubh)”}”(hŒlibsoup-devel-cos7-ppc64le”h#Œ2.62.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libsoup-devel-cos7-ppc64le-2.62.2-h9b0a68f_105.tar.bz2”h+Œ c6dbbf76bb931e8c9d0bc2f2d79ab99f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos7-ppc64le-2.62.2-h9b0a68f_105.tar.bz2”h0Œ@0a33a635265d5141c722ecd696b091c4f024eb138b5d6782a3037ca686bdbb3a”h2NhNh3Œ#libsoup-cos7-ppc64le ==2.62.2 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@c•hEJ‡@ hFˆubh)”}”(hŒ	pyparsing”h#Œ2.4.7”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$pyparsing-2.4.7-pyh9f0ad1d_0.tar.bz2”h+Œ 626c4f20d5bf06dcec9cf2eaa31725c7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyparsing-2.4.7-pyh9f0ad1d_0.tar.bz2”h0Œ@f1c801916dd64cb2e2c8ad9d65c2b63ccf968d8c976eed47ff45d21e47705608”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¢Ýë÷ÏhEM îhFˆubh)”}”(hŒmatplotlibhelper”h#Œ0.0.10”h%Œpy_1”h'Khhh(h)hŒ$matplotlibhelper-0.0.10-py_1.tar.bz2”h+Œ 2c1b382f025f7c4e4bbbe0a468b251af”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/matplotlibhelper-0.0.10-py_1.tar.bz2”h0Œ@83621a8ba3cfa66005eb8a6fc0637517cb40fa3462912bef5e0b19b4aeba1b3c”h2NhNh3(Œipython”Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.6”Œsugartex >=0.1.16”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯ú¨0r°hEJ 	 hFˆubh)”}”(hŒlibxshmfence-cos7-aarch64”h#Œ1.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libxshmfence-cos7-aarch64-1.2-h9d98e8f_1104.tar.bz2”h+Œ dccaf8970297440591d03afd300ebc05”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-aarch64-1.2-h9d98e8f_1104.tar.bz2”h0Œ@e78b0a27b3034acc01d8fd9e8eb82f7f0c158bc317e4b3688c9d263550a78ff0”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzOšMÓhEMå"hFˆubh)”}”(hŒlesscpy”h#Œ0.15.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#lesscpy-0.15.1-pyhd8ed1ab_0.tar.bz2”h+Œ e22fdae121992d4ddd4bb9746f078515”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/lesscpy-0.15.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cbf292f3bd0889a82da1998dd5d1af34a341e228b6905b5d9643630ebf3651d1”h2NhNh3Œply”Œpython >=3.6”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÔ°‘àA‰hEM«šhFˆubh)”}”(hŒr-pubmedwordcloud”h#Œ0.3.6”h%Œr36h6115d3f_0”h'K hhh(h)hŒ-r-pubmedwordcloud-0.3.6-r36h6115d3f_0.tar.bz2”h+Œ 2078ed524bc497a63c5486ba88edc3cd”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pubmedwordcloud-0.3.6-r36h6115d3f_0.tar.bz2”h0Œ@cfcec1edf230db7911697d44e718e74aa067a88449351c325faab68a16775f1a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-rcolorbrewer”Œr-rcurl”Œ	r-stringr”Œr-tm”Œr-wordcloud”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×½™Þ”í‘hEMÀhFˆubh)”}”(hŒkeras-metrics”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(keras-metrics-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 05f0ba5e5f1577c225deb46983be9502”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/keras-metrics-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c054073af912c712b0a4bf3e911d811b6b5305ed3e7d169e4e8626b6d3ef717e”h2NhNh3(Œkeras >=2.1.5”Œpython >=3.6”Œscikit-learn >=0.20.2”Œtensorflow >=1.8.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¿ÔÐr°hEM*hFˆubh)”}”(hŒ
r-sparsepp”h#Œ1.22”h%Œr40hd8ed1ab_2003”h'MÓhhh(h)hŒ(r-sparsepp-1.22-r40hd8ed1ab_2003.tar.bz2”h+Œ 6c3a0b3289829b45cf6f9eda6413d726”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepp-1.22-r40hd8ed1ab_2003.tar.bz2”h0Œ@a6e5000360b84d88386bbb6386b9a5ad88a172d20eb4e85e9cf0a1926c116bdf”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAØ+¶VhEJþÒ hFˆubh)”}”(hŒlibxshmfence-devel-cos6-x86_64”h#Œ1.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ8libxshmfence-devel-cos6-x86_64-1.2-hdf0574f_1102.tar.bz2”h+Œ f677a1a188ff400e9ef55cbab86689da”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos6-x86_64-1.2-hdf0574f_1102.tar.bz2”h0Œ@fad4b75200c8e882ab577a11b9b2e962325f0f99ac99a9bab58197e1a8282f17”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´àÞhEMhFˆubh)”}”(hŒopenfermionpyscf”h#Œ0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)openfermionpyscf-0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 7bb4fb3fd02b1baf0cff89b9d41ac5cc”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/openfermionpyscf-0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@2594ac140be465c08341036848967d3b15d0a985d04496956c5d46ca896f19aa”h2NhNh3(Œopenfermion >=0.5”Œpyscf”Œpytest”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ„Èÿ9XhEM
KhFˆubh)”}”(hŒr-survmetrics”h#Œ0.5.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-survmetrics-0.5.0-r41hc72bb7e_0.tar.bz2”h+Œ 5f4c30116453c242521c15df7f0f51d0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survmetrics-0.5.0-r41hc72bb7e_0.tar.bz2”h0Œ@9eae101cc6ae7f080fafc3b22dd2f2ef4f1718f87dcba200a33f41a1942418ed”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-pec”Œr-randomforestsrc”Œ
r-survival”Œr-survminer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÅ!•!&éhEJæØ hFˆubh)”}”(hŒr-irr”h#Œ0.84.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ"r-irr-0.84.1-r42hc72bb7e_3.tar.bz2”h+Œ e0bea9e7ee35e8b4b7532197a1211c18”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-irr-0.84.1-r42hc72bb7e_3.tar.bz2”h0Œ@5998b7ef2d923116c844d398eb77828566548d948bc0ca4c7557ace8f1e30f48”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-lpsolve”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ`Æ°1'hEJ5˜ hFˆubh)”}”(hŒ	cdat_info”h#Œ8.2.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$cdat_info-8.2.1-pyh9f0ad1d_0.tar.bz2”h+Œ dcac1ee4d6a8c74faef2b62b8052755f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/cdat_info-8.2.1-pyh9f0ad1d_0.tar.bz2”h0Œ@4d4375b025fa336a52eba39f3f04d3158d62350b37e91dbbd369e1f54958dfb5”h2NhNh3(Œnbformat”Œopenssl >1.1”Œpython”Œrequests”t”h9h?h@ŒBSD”hDGA×Êc¤*ÐåhEM(?hFˆubh)”}”(hŒ xorg-x11-util-macros-cos7-x86_64”h#Œ1.19.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ=xorg-x11-util-macros-cos7-x86_64-1.19.0-ha826a6f_1103.tar.bz2”h+Œ aad53aa4cb22e46ad9ac1ad427ac3973”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-x86_64-1.19.0-ha826a6f_1103.tar.bz2”h0Œ@9d4265485bb0029fef29b8241465510a362b763ad99d2ad614139a3391e88562”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0 ýhEMúªhFˆubh)”}”(hŒlibxrandr-cos7-x86_64”h#Œ1.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libxrandr-cos7-x86_64-1.5.1-h9d98e8f_1104.tar.bz2”h+Œ cfdd66c253777797033d2d53270f00c0”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-x86_64-1.5.1-h9d98e8f_1104.tar.bz2”h0Œ@512dc42da5cc781c797f74762ed318b070b87e52c390b7c62ce3c7db3e033830”h2NhNh3Œ!libx11-cos7-x86_64 >=1.6.0 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~°£33hEMÚ_hFˆubh)”}”(hŒr-collapsibletree”h#Œ0.1.7”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ1r-collapsibletree-0.1.7-r351h6115d3f_1000.tar.bz2”h+Œ 789116bec24a07ae80e1f27160daceb0”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-collapsibletree-0.1.7-r351h6115d3f_1000.tar.bz2”h0Œ@66065ba6056c3b203b805d53fba9088cc661b7d411e257f517c317aa076461fb”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-data.tree”Œr-htmlwidgets”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖþƒ‹{"ÑhEJT hFˆubh)”}”(hŒr-npsurv”h#Œ0.5_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-npsurv-0.5_0-r42hc72bb7e_1.tar.bz2”h+Œ 4ade6bdb8b6e11b57989afd2d1c113b1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-npsurv-0.5_0-r42hc72bb7e_1.tar.bz2”h0Œ@628ec58199fd4fe0c86fd4b8756cdcfe84ba1788f5ee78bdbae26e0a9a193968”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lsei”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑSKƒ¥ãhEJ§ hFˆubh)”}”(hŒmapbox-vector-tile”h#Œ1.2.1”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ-mapbox-vector-tile-1.2.1-pyhd8ed1ab_2.tar.bz2”h+Œ f99b574435de350af302a0ceb8ba66ed”h.Œ[https://conda.anaconda.org/conda-forge/noarch/mapbox-vector-tile-1.2.1-pyhd8ed1ab_2.tar.bz2”h0Œ@2c180944185534e18ba06eec47b86a51f19bad5ab177c5163f7b766a5464a1b9”h2NhNh3(Œfuture”Œprotobuf”Œ	pyclipper”Œpython >=3.6”Œ
setuptools”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÍp~Ý?}hEMt^hFˆubh)”}”(hŒr-popgenreport”h#Œ3.0.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-popgenreport-3.0.7-r42hc72bb7e_1.tar.bz2”h+Œ 97f26f864afe84685d2bf11bdb6edd97”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-popgenreport-3.0.7-r42hc72bb7e_1.tar.bz2”h0Œ@c6ae966a1dd266a2b08af9802354248b8c1048b7524404b4815e427c65e27ba5”h2NhNh3(Œr-ade4”Œr-adegenet >=2.0.0”Œr-base >=4.2,<4.3.0a0”Œr-calibrate”Œr-dismo”Œr-gap”Œr-gdistance”Œ
r-genetics”Œr-ggally”Œ	r-ggplot2”Œr-knitr”Œ	r-lattice”Œr-mmod”Œr-pegas”Œr-plyr”Œ	r-r.utils”Œr-raster”Œ	r-reshape”Œr-rgdal”Œr-rgooglemaps”Œr-sp”Œr-vegan”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒêªÊ=qhEJÜê! hFˆubh)”}”(hŒ
r-settings”h#Œ0.2.7”h%Œr42h785f33e_1”h'Khhh(h)hŒ&r-settings-0.2.7-r42h785f33e_1.tar.bz2”h+Œ e2165b64776a52654c057cbc1b346fea”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-settings-0.2.7-r42h785f33e_1.tar.bz2”h0Œ@2cc7fa59cbe2d86cd9b2eac1c814cf60934b697784c892b1d05783a2fbdfb010”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL”hDGAØÑLeXÄœhEJå- hFˆubh)”}”(hŒlibx11-common-cos7-aarch64”h#Œ1.6.7”h%Œh1795305_101”h'Kehhh(h)hŒ5libx11-common-cos7-aarch64-1.6.7-h1795305_101.tar.bz2”h+Œ 5f52acbbb3a3081f1f4dd4aee50adce7”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-aarch64-1.6.7-h1795305_101.tar.bz2”h0Œ@7282226c6e76e1538b604cecc96c48ee5bc1fa22d2564b7cceb7bb473841c032”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å/èbhEJ/ hFˆubh)”}”(hŒlibuuid-devel-cos6-x86_64”h#Œ2.17.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libuuid-devel-cos6-x86_64-2.17.2-h9d98e8f_1104.tar.bz2”h+Œ 6b455c140d78e62a3989e65fe80dbc87”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos6-x86_64-2.17.2-h9d98e8f_1104.tar.bz2”h0Œ@6be1fbd071a6de1565f130027b6b7b9a2077ac801b3be83c78d64a22315830a1”h2NhNh3Œ#libuuid-cos6-x86_64 ==2.17.2 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×É}ä9XhEM"whFˆubh)”}”(hŒr-rdpack”h#Œ2.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-rdpack-2.4-r42hc72bb7e_1.tar.bz2”h+Œ e3dee9d4d24ad26b306ef884440dd45c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rdpack-2.4-r42hc72bb7e_1.tar.bz2”h0Œ@a421b38fed4f3079a837edc6cf63f5fa8f5caa3243cc6ea166cccdf7ef583589”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-gbrd”Œr-rbibutils >=1.3”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐÍìÄÝ/hEJ1Þ hFˆubh)”}”(hŒpciutils-devel-cos6-x86_64”h#Œ3.1.10”h%Œha826a6f_1103”h'MOhhh(h)hŒ7pciutils-devel-cos6-x86_64-3.1.10-ha826a6f_1103.tar.bz2”h+Œ e09eef1efb128f53219915494c4137a4”h.Œehttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos6-x86_64-3.1.10-ha826a6f_1103.tar.bz2”h0Œ@447d7bd8bd86aed458f2cddb62b41f9f9544836ed2dc161793db916eaf5203d8”h2NhNh3Œ)pciutils-libs-cos6-x86_64 ==3.1.10 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ{þ
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r-dendsort”h#Œ0.3.4”h%Œr41ha770c72_1”h'Khhh(h)hŒ&r-dendsort-0.3.4-r41ha770c72_1.tar.bz2”h+Œ f38f50b639aec45895869c69d502eac6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dendsort-0.3.4-r41ha770c72_1.tar.bz2”h0Œ@ebc9a93f2881c2398665bd64dbe873317bbd4d5acd0b87e5825426d4584ca58e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¸o?
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r-quadprog”Œr-sel”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×Ln‡ïžhEJú9 hFˆubh)”}”(hŒr-assertthat”h#Œ0.2.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-assertthat-0.2.1-r41hc72bb7e_2.tar.bz2”h+Œ ad338c38619f857b6df19253e9c65533”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-assertthat-0.2.1-r41hc72bb7e_2.tar.bz2”h0Œ@6352391d8cc4532d698213b9b2a7225bd47e67d54ee38b5ac103ecde8343d544”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ*Óá&éhEJ÷ hFˆubh)”}”(hŒr-shiny.semantic”h#Œ0.4.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-shiny.semantic-0.4.3-r41hc72bb7e_0.tar.bz2”h+Œ f39ac969f3cccc10c10dcd2bd4a31d39”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shiny.semantic-0.4.3-r41hc72bb7e_0.tar.bz2”h0Œ@c91e8e9894ac42b6b8b0abf303ad584784de074fb0aff696303143e6e49eebe6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.2.6”Œr-htmlwidgets >=0.8”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr >=0.2.2”Œr-shiny >=0.12.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØb®{hEJÏ½O hFˆubh)”}”(hŒeth-keys”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#eth-keys-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 94bf4f6d803457df82c36c952907bd14”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/eth-keys-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cb14d56b52c9fb16b20c2c9e277ab5e821a3d0f51eeccd2979cabe671fe33495”h2NhNh3Œeth-typing >=3.0.0,<4.0.0”Œeth-utils >=2.0.0,<3.0.0”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØlÙ1ùº^hEM”QhFˆubh)”}”(hŒ
qdarkstyle”h#Œ2.8.1”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ%qdarkstyle-2.8.1-pyh9f0ad1d_1.tar.bz2”h+Œ c0fe8182d776fbc0b37f2c956b746185”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/qdarkstyle-2.8.1-pyh9f0ad1d_1.tar.bz2”h0Œ@7115968f7604b48fe501b4ca1d8616ee0aaf6888e9df4666beb995c74e3d506f”h2NhNh3Œpython”Œ
qtpy >=1.9”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Ì±Z<(öhEJNi hFˆubh)”}”(hŒr-ebimetagenomics”h#Œ0.6”h%Œr40h6115d3f_1”h'Khhh(h)hŒ+r-ebimetagenomics-0.6-r40h6115d3f_1.tar.bz2”h+Œ 840354caa8dd4557326d225d92de2591”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ebimetagenomics-0.6-r40h6115d3f_1.tar.bz2”h0Œ@08e53b99c9e1d45138cebe854c003d19b3f3c3ea7b161e644e20796b4328e5e0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-breakaway”Œr-sads”Œr-vegan”t”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×¬Ü­±Û#hEMÇ×hFˆubh)”}”(hŒ	rb-jekyll”h#Œ3.8.5”h%Œ
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r-wikitaxa”h#Œ0.4.0”h%Œr40h785f33e_0”h'K hhh(h)hŒ&r-wikitaxa-0.4.0-r40h785f33e_0.tar.bz2”h+Œ c0a16ff0fc3a1eef63a0f5819fc30cbe”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wikitaxa-0.4.0-r40h785f33e_0.tar.bz2”h0Œ@5e55b3acbea3f99ea02059245324a5180762de1ac6c759690ca5d1a9b3170c02”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.3.4”Œr-curl”Œr-data.table”Œ
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tldextract”t”h9h?h@ŒMIT”hBŒMIT”hDGA×4©WSøhEMá#hFˆubh)”}”(hŒ	r-entropy”h#Œ1.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-entropy-1.3.1-r40hc72bb7e_0.tar.bz2”h+Œ 39e102218f23fc53fdb4505edb726f9c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-entropy-1.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@fb4665a96f5b5b996a37f8c25382b7b11a2354b746302a8f7615429fdc704614”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØV7=SøhEJX¥ hFˆubh)”}”(hŒtqdm”h#Œ4.54.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ tqdm-4.54.1-pyhd8ed1ab_1.tar.bz2”h+Œ 9baa73745bc4829da9e76e84313f9d26”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tqdm-4.54.1-pyhd8ed1ab_1.tar.bz2”h0Œ@be90d2e9e6c76952107a544deba645594e5b1ac9c6fa578848bb1bd563d5c961”h2NhNh3Œpython >=2.7”…”h9h?h@ŒMPL-2.0 or MIT”hBŒMOZILLA”hDGA×øˆE¢hEJ' hFˆubh)”}”(hŒ	r-decoder”h#Œ1.2.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-decoder-1.2.2-r42hc72bb7e_2.tar.bz2”h+Œ 7ebe8780875bb5fad85ee4b7b479cc83”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-decoder-1.2.2-r42hc72bb7e_2.tar.bz2”h0Œ@52177d440276fb63907b63a75d83019b9124d43dea85062f5ff83c5efb5bd0cb”h2NhNh3Œr-backports”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ¸mlýôhEJÕ hFˆubh)”}”(hŒdrivelib”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒdrivelib-0.1.4-py_0.tar.bz2”h+Œ 01338ac327f609d558113a93439a8dc8”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/drivelib-0.1.4-py_0.tar.bz2”h0Œ@1765d14dd42bdfd7750abe5c578bf8a39a40938d7c1c6176c773f36505b66efd”h2NhNh3(Œgoogle-api-python-client”Œgoogle-auth”Œgoogle-auth-httplib2”Œgoogle-auth-oauthlib”Œoauth2client”Œpython >=3.7”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×µæjg
=hEM_bhFˆubh)”}”(hŒdarr”h#Œ0.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdarr-0.5.4-pyhd8ed1ab_0.tar.bz2”h+Œ 65c3c809dd283477aeb00246e3066dbb”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/darr-0.5.4-pyhd8ed1ab_0.tar.bz2”h0Œ@afad46fc9712020a312246de6fc8cb8e15bc57338fde73d6bda0d8c427eb6aad”h2NhNh3Œnumpy >=1.12”Œpackaging >=20.0”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ³T^‰ÊÁhEMÓ°hFˆubh)”}”(hŒ!unicorn-binance-local-depth-cache”h#Œ0.7.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ<unicorn-binance-local-depth-cache-0.7.3-pyhd8ed1ab_0.tar.bz2”h+Œ e21cbf4493b61a93d561cd1e3ff5cd79”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/unicorn-binance-local-depth-cache-0.7.3-pyhd8ed1ab_0.tar.bz2”h0Œ@fe0385dff2a2502dd4993da6ba629faa5bcb9a7ef682118d7a77e4cb243410d5”h2NhNh3(Œpython >=3.7”Œrequests”Œunicorn-binance-rest-api”Œ&unicorn-binance-websocket-api >=1.40.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥pæffhEMòJhFˆubh)”}”(hŒcolcon-recursive-crawl”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒ)colcon-recursive-crawl-0.2.1-py_0.tar.bz2”h+Œ 454951af7274b3854d41d423dca2eeb1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/colcon-recursive-crawl-0.2.1-py_0.tar.bz2”h0Œ@80d58027b364087ca1bb796887197a3183b47451150d15c4e963c5b2bfd40e96”h2NhNh3Œcolcon-core >=0.2.0”Œpython >=3.5”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×…§Ù™šhEMà*hFˆubh)”}”(hŒopensm-devel-cos7-aarch64”h#Œ3.3.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5opensm-devel-cos7-aarch64-3.3.21-h9b0a68f_105.tar.bz2”h+Œ 091eed89f1889e447abfa959147404ee”h.Œchttps://conda.anaconda.org/conda-forge/noarch/opensm-devel-cos7-aarch64-3.3.21-h9b0a68f_105.tar.bz2”h0Œ@c7a0d56f526e3a62673a9d69643aa1d7ce053770b9b2797ec3a29d89de32dc53”h2NhNh3Œ'opensm-libs-cos7-aarch64 ==3.3.21 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJ0Éº^hEJ4’ hFˆubh)”}”(hŒopensm-devel-cos7-ppc64le”h#Œ3.3.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5opensm-devel-cos7-ppc64le-3.3.21-h9b0a68f_105.tar.bz2”h+Œ 9c22c8117afa0847c179f8ee2dfe0fc2”h.Œchttps://conda.anaconda.org/conda-forge/noarch/opensm-devel-cos7-ppc64le-3.3.21-h9b0a68f_105.tar.bz2”h0Œ@9a3f433d67ba743ba7ff1a96aef0ba26d931afed630034cb6544c646fd54bd7c”h2NhNh3Œ'opensm-libs-cos7-ppc64le ==3.3.21 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJe½p¤hEJî hFˆubh)”}”(hŒarcp”h#Œ0.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒarcp-0.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ 8b2565c631f590ea82ab0f50a5811ce5”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/arcp-0.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@17e9114851dd8dfcb1c12291d65bf2cc9b7990093b8d0e18e0b406132c7169dc”h2NhNh3Œpython”…”h9h?h@Œ
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lux-widget”Œpython >=3.6”‡”h9h?h@Œ
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Apache 2.0”hBŒApache”hEM0hFˆubh)”}”(hŒr-spthin”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-spthin-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ a0dddcd1cb2f4d493bfb6a6e19158a07”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spthin-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@85904b6e248dc740e464d02623649ba06aa9b1f85a91b0b5cf5c67ad3ec2a521”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-fields”Œr-knitr”Œr-spam”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ›1¡XhEJÛÛ hFˆubh)”}”(hŒmesa-libegl-cos7-aarch64”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4mesa-libegl-cos7-aarch64-18.3.4-hdf0574f_102.tar.bz2”h+Œ f6c30799c587caaa78bfcc2f47f7c5fa”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-aarch64-18.3.4-hdf0574f_102.tar.bz2”h0Œ@ef2180cf2faf28463d184fe954d54625cfa4a19cebf58ff110fc2de74748ee7c”h2NhNh3Œ'mesa-libgbm-cos7-aarch64 ==18.3.4 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+šÛ#hEJ]­ hFˆubh)”}”(hŒr-lsd”h#Œ4.1_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-lsd-4.1_0-r41hc72bb7e_1.tar.bz2”h+Œ fd621c79635552abc78a9fe0e88cdc52”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lsd-4.1_0-r41hc72bb7e_1.tar.bz2”h0Œ@80ceb867dfc6c720bcc3dedb32de4f14c59c2a25f4ba7156e517128590b571ba”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only OR GPL-3.0-only”hBŒOTHER”hDGAØÒS¢	7LhEJVÈ hFˆubh)”}”(hŒmultitasking”h#Œ0.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'multitasking-0.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ bbbcad7e506a5921aa181ac9d5a605dd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/multitasking-0.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@88428df1d8e11e8a5e3d6cba1a5ed40d149e22aab0a41a6ab8f67cdcc7e1055e”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ-Rç hEM0hFˆubh)”}”(hŒ libxcomposite-devel-cos7-aarch64”h#Œ0.4.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ<libxcomposite-devel-cos7-aarch64-0.4.4-h9d98e8f_1104.tar.bz2”h+Œ 00263c60b9e78386d2fdee48c92a7331”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos7-aarch64-0.4.4-h9d98e8f_1104.tar.bz2”h0Œ@210d239ee0319d47a74ab605179814d201af9581e394aa3ec5ecfa6738e9196c”h2NhNh3Œ)libxcomposite-cos7-aarch64 ==0.4.4 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É};+¥ãhEMÑ-hFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ)r-icluster-2.1.0-r35h6115d3f_1002.tar.bz2”h+Œ 3a4a262735df0797ffbcf2371a7fd058”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r35h6115d3f_1002.tar.bz2”h0Œ@b991cd313dbb1c7cba3a42b160e374e0ebbfc71e9eea0393405985be78b463f6”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M0
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r-magrittr”Œr-mass”Œ	r-moments”Œr-mvoutlier”Œ	r-nortest”Œr-plyr”Œr-psych”Œr-robustbase”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ7Üd¬hEJ™7 hFˆubh)”}”(hŒsphinx-jsonschema”h#Œ1.15”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+sphinx-jsonschema-1.15-pyhd8ed1ab_0.tar.bz2”h+Œ 5232c490677e195705dca156b5ac90c0”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sphinx-jsonschema-1.15-pyhd8ed1ab_0.tar.bz2”h0Œ@87be152b6f1c8dc4f18e153433a217688d9e2a378f05694c995d5fb614fe9c13”h2NhNh3(Œdocutils”Œjsonpointer”Œpython >=3.6”Œpyyaml”Œrequests”Œsphinx”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØØ²bíÒòhEMÞhhFˆubh)”}”(hŒlibsepol-cos7-ppc64le”h#Œ2.5”h%Œha826a6f_103”h'Kghhh(h)hŒ.libsepol-cos7-ppc64le-2.5-ha826a6f_103.tar.bz2”h+Œ 5aad00283be8fee780f88506ecbec21a”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-ppc64le-2.5-ha826a6f_103.tar.bz2”h0Œ@8e74c714f182f4ed712d747f61cc222f3558e7da9171f30a3fb33f08ce1eca35”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/~ö—hEJBš hFˆubh)”}”(hŒr-fresh”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-fresh-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 729e4256a495787bb35d73ea754d9af6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fresh-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@cc136901d1bace7bd37eb58dff618005482c3d3a3976847a75dd3c7b0c68709d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-rstudioapi”Œr-sass”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ-0¨ƒhEJ¡æ hFˆubh)”}”(hŒr-metacycle”h#Œ1.2.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ'r-metacycle-1.2.0-r41hc72bb7e_3.tar.bz2”h+Œ d5ea2bb148e6ca0921409f676fb68778”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metacycle-1.2.0-r41hc72bb7e_3.tar.bz2”h0Œ@f76035b438620674628f485251d387a7fc26427a448a606c39afee8146200011”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gnm”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒRà¾whEJ?v hFˆubh)”}”(hŒatomicwrites”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'atomicwrites-1.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1714887104aab113bde64001ceb17262”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/atomicwrites-1.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@be51022044176e73629051a7e072cd4265b3fdb6ce0a18e4530fc6ca2488b918”h2NhNh3Œpython 2.7|>=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ²2[C¥ãhEMa.hFˆubh)”}”(hŒtpi”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtpi-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8ae73efcdc2c4343abb55a4ce1639ebb”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/tpi-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3a9e26a37d1482b91a7efb17880605b9b3affd28d0d18a522cd0abcb36dbf8cd”h2NhNh3(Œasyncssh”Œfuncy”Œjinja2 >=2.0.0”Œmiutil >=0.7.0”Œpython >=3.4”Œpython-terraform >=0.10.1”Œ
setuptools”t”h9h?h@Œ
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r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ'n5¸hEJŒ hFˆubh)”}”(hŒlibsepol-devel-cos7-x86_64”h#Œ2.5”h%Œh1795305_1101”h'MMhhh(h)hŒ4libsepol-devel-cos7-x86_64-2.5-h1795305_1101.tar.bz2”h+Œ d10e471f5083d2eb236e30f2efd0daab”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-x86_64-2.5-h1795305_1101.tar.bz2”h0Œ@1af6e059a20d0c1c668d49fa04a6246d9a195a33bd3c8558749511dd51863816”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å&+çmhEMí«hFˆubh)”}”(hŒlibsm-devel-cos7-ppc64le”h#Œ1.2.2”h%Œ
h1341992_0”h'K hhh(h)hŒ1libsm-devel-cos7-ppc64le-1.2.2-h1341992_0.tar.bz2”h+Œ 29dd09c00bad0b69afbeb8634ce005de”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-ppc64le-1.2.2-h1341992_0.tar.bz2”h0Œ@96dce8ab618b8da1363f00ed2b76db12f4329209ef334991f8c53cba4dd1d6b8”h2NhNh3Œ#libsm-cos7-ppc64le 1.2.2 h1341992_0”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×]töùÛhEMJ hFˆubh)”}”(hŒrb-jekyll-swiss”h#Œ0.4.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ(rb-jekyll-swiss-0.4.0-hd4c1694_0.tar.bz2”h+Œ ba3584f3a939b0445aff3949fb67ac6b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-swiss-0.4.0-hd4c1694_0.tar.bz2”h0Œ@f01040112533b4fe19e7d2e493f4ebd9e30d327a655c58ffe78abc8654297a9d”h2NhNh3Œrb-jekyll >=3.3,<4”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[[Ð“¥ãhEM~thFˆubh)”}”(hŒr-tabulizer”h#Œ0.2.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-tabulizer-0.2.2-r36h6115d3f_1.tar.bz2”h+Œ fb9a14b66130d58ef0a0daa079dcef8f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizer-0.2.2-r36h6115d3f_1.tar.bz2”h0Œ@e167a4c4aea47944aa55f72154d2fdc57489c832c4ea236049516de18ba8477f”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-png”Œr-rjava”Œr-tabulizerjars”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Áaíp¤hEJ¨p hFˆubh)”}”(hŒneo4j-python-driver”h#Œ4.4.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.neo4j-python-driver-4.4.7-pyhd8ed1ab_0.tar.bz2”h+Œ cf0d158fc79586e465b2dcdcd2e22667”h.Œ\https://conda.anaconda.org/conda-forge/noarch/neo4j-python-driver-4.4.7-pyhd8ed1ab_0.tar.bz2”h0Œ@8ad64b6bf8e0b79096fa31b0bc5cbd59a51412b72b059e2697c0e3553f98bc95”h2NhNh3Œpython >=3.7”Œpytz”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÆÖf¢ÐåhEJûV hFˆubh)”}”(hŒ	rb-wisper”h#Œ2.0.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ"rb-wisper-2.0.1-hc42de5b_0.tar.bz2”h+Œ e952cbb31c3943397a40b603a1c68cfd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-wisper-2.0.1-hc42de5b_0.tar.bz2”h0Œ@df09b1dc9dec032dc93a6801f2b5dac5dc93a1d0c44b0a805a22b17b47e58a1e”h2NhNh3Œruby >=2.6.5,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×iÔÛ…hEMÝhFˆubh)”}”(hŒr-gclus”h#Œ1.3.2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-gclus-1.3.2-r42hc72bb7e_3.tar.bz2”h+Œ 81b4358e52ed37d646dcf9984bdcdae5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gclus-1.3.2-r42hc72bb7e_3.tar.bz2”h0Œ@a9f26bc216a1d41b6d60000b0712255728073d4f5dd794c0ec5e4f41d6676f82”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑS‚P ÅhEJËÎ hFˆubh)”}”(hŒr-sftime”h#Œ0.2_0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-sftime-0.2_0-r42hc72bb7e_0.tar.bz2”h+Œ 47d553c8e5756df80380de61ccb01954”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-sftime-0.2_0-r42hc72bb7e_0.tar.bz2”h0Œ@109baddc82e22bd6df101f778c285ac1de00ee2d77fb55afd78e3da21f8a4c01”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-sf >=1.0.7”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÕä\hEJ°î hFˆubh)”}”(hŒ
r-r.matlab”h#Œ3.7.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-r.matlab-3.7.0-r42hc72bb7e_1.tar.bz2”h+Œ e0975d4ec8024c97e0a0662b66914bb2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-r.matlab-3.7.0-r42hc72bb7e_1.tar.bz2”h0Œ@4fc5e32860ac2d3364490e97545f72b8d2b3fdab97b8cce66683aaf6979b1c60”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.21.0”Œr-r.utils >=2.5.0”t”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAØÐÚò§KÇhEJÖy hFˆubh)”}”(hŒr-runit”h#Œ0.4.32”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ'r-runit-0.4.32-r40hc72bb7e_1002.tar.bz2”h+Œ 9a5c1e9f67840e10425421629b14f67c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-runit-0.4.32-r40hc72bb7e_1002.tar.bz2”h0Œ@811ecacaa640f7923609fdeed34a18258cc84db35bfb6dd4b36a9e61ccda54c0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+9XhEJ#— hFˆubh)”}”(hŒjsonrpcserver”h#Œ4.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(jsonrpcserver-4.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ bea9b607e05471e4d5097818bf7d5acd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/jsonrpcserver-4.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@867139ec2ffd4ea76ec56d1b612106699e5bc8b5003102c4068cafcb1960a8a0”h2NhNh3Œapply_defaults <1”Œjsonschema <4”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ë(IxÕhEM†AhFˆubh)”}”(hŒ
r-dendsort”h#Œ0.3.4”h%Œr42ha770c72_1”h'Khhh(h)hŒ&r-dendsort-0.3.4-r42ha770c72_1.tar.bz2”h+Œ f3d28226c2ce7a485da7619c8a45e54b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dendsort-0.3.4-r42ha770c72_1.tar.bz2”h0Œ@58662ba8e93fb4212b278c116fdfebe94e1f055d934433580f96f02cf4d0268d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¸géë…hEJ“] hFˆubh)”}”(hŒlibxft-cos7-ppc64le”h#Œ2.3.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.libxft-cos7-ppc64le-2.3.2-hdf0574f_102.tar.bz2”h+Œ e5ac1baf9f0e5d8041a860842e939ed4”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-ppc64le-2.3.2-hdf0574f_102.tar.bz2”h0Œ@b06cd6f3b0a07408e4a898392d9592a4d74c2cbdf27bc1cd8fad89f6f300d685”h2NhNh3Œ#fontconfig-cos7-ppc64le >=2.2 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶ÕJ\hEM:ñhFˆubh)”}”(hŒcyclonedx-python-lib”h#Œ2.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/cyclonedx-python-lib-2.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9bee5f13284f464ef65faaa6aa5b12a3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/cyclonedx-python-lib-2.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e783d55b4ddd12fac730f76792daf35a97d96d76d6f51d6b47baa9e86bdc2537”h2NhNh3(Œimportlib-metadata >=3.4”Œpackageurl-python >=0.9”Œpython >=3.6”Œsetuptools >=47.0.0”Œsortedcontainers >=2.4.0,<3.0.0”Œtoml >=0.10.0,<0.11.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¹ø¢V$ÝhEJvP hFˆubh)”}”(hŒ
argopandas”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%argopandas-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ be63065da492f7ca9b20bed492cf52ed”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/argopandas-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@9ced56a58ff5f3f41083c1365294aa636dd2f53747c36e0c85f76284cb85793e”h2NhNh3(Œnetcdf4”Œnumpy”Œpandas”Œpyarrow”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØW'‘æùÛhEM¹\hFˆubh)”}”(hŒr-binhf”h#Œ1.0_3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ&r-binhf-1.0_3-r40h6115d3f_1003.tar.bz2”h+Œ 4946a74b799a65188ab5fb04d6f408b1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-binhf-1.0_3-r40h6115d3f_1003.tar.bz2”h0Œ@c74b4d6d6d52e7013033458b2e8557d395d2827888ea898d9dcc72671c56a2e5”h2NhNh3(Œr-adlift >=0.9.2”Œr-base >=4.0,<4.1.0a0”Œr-ebayesthresh”Œr-wavethresh”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­3ê~úhEJ©œ hFˆubh)”}”(hŒpango-devel-cos7-aarch64”h#Œ1.42.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4pango-devel-cos7-aarch64-1.42.4-hdf0574f_102.tar.bz2”h+Œ 46192ceda29de52209adc55b06c5a1ed”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-aarch64-1.42.4-hdf0574f_102.tar.bz2”h0Œ@519de671d07eead21f0d6d002ca31ce8e0972791a92d5d48bf827d00388447a8”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi?½¸hEJ;ž hFˆubh)”}”(hŒmne-icalabel”h#Œ0.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ%mne-icalabel-0.4-pyhd8ed1ab_2.tar.bz2”h+Œ d240a91bcd38000e95a774218ff258b1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mne-icalabel-0.4-pyhd8ed1ab_2.tar.bz2”h0Œ@bb84b4a89ab57948d0aa092e26e52389b78a40cd3c27c0c9a987f249522ffa74”h2NhNh3(Œimportlib-metadata”Œimportlib-resources”Œjoblib”Œ
matplotlib”Œmne-base >=1.1”Œmne-qt-browser”Œnumpy >=1.21”Œpooch”Œpython >=3.7”Œpython-picard”Œpytorch”Œqtpy”Œscikit-learn”Œscipy >=1.2.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÄrµ}¡ËhEJ*9© hFˆubh)”}”(hŒ
r-ic.infer”h#Œ1.1_6”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ*r-ic.infer-1.1_6-r351h6115d3f_1000.tar.bz2”h+Œ 4b16219dc23a20b0acbec78a91dd3b7b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ic.infer-1.1_6-r351h6115d3f_1000.tar.bz2”h0Œ@f88884c4a8ffade09c77cdb7bd371056216eac657f7dfa3464cc142e3fd1494a”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-boot”Œ
r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ªÃËçmhEJò­ hFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libxxf86vm-cos7-ppc64le-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ 2db0a06822f8c06964168cb7df873ca4”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@04f408112c331266b11fac7c4b687311ace1ba1515ecc44d2d2c3269f8a00dca”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Žë×
hEM=hFˆubh)”}”(hŒ	r-polycor”h#Œ0.8_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-polycor-0.8_1-r42hc72bb7e_1.tar.bz2”h+Œ e2427e09872922ccd81ce01b51ed8360”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-polycor-0.8_1-r42hc72bb7e_1.tar.bz2”h0Œ@1d0c054fe73ed0a2968ca173dd1afdd9fc6bee09c83b5ad41200f194d5b2a60d”h2NhNh3(Œr-admisc >=0.22”Œr-base >=4.2,<4.3.0a0”Œr-matrix”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑiõ\IºhEJ%Y hFˆubh)”}”(hŒ
r-isocodes”h#Œ
2022.09.29”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-isocodes-2022.09.29-r41hc72bb7e_1.tar.bz2”h+Œ 485b5a06c00e882415ed859df42d4f07”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-isocodes-2022.09.29-r41hc72bb7e_1.tar.bz2”h0Œ@866dd493f560590f4582f39051b19bb987e7191f23d4c087042473b102b2ccbd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ„O2^5hEJQ hFˆubh)”}”(hŒfrictionless”h#Œ4.40.8”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ(frictionless-4.40.8-pyh6c4a22f_0.tar.bz2”h+Œ d2791ef8f6c1252aa8d2e2001a603815”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/frictionless-4.40.8-pyh6c4a22f_0.tar.bz2”h0Œ@0d7d669d92aa4ecf08effb64aea4c98aa65607bdb98e7b82627b7c43556dd9bc”h2NhNh3(Œchardet >=3.0”Œisodate >=0.6”Œjinja2 >=3.0.3”Œjsonschema >=2.5”Œmarko >=1.0”Œ
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matplotlib”Œnetcdf4”Œnumpy”Œoceans”Œowslib”Œpandas >=0.20”Œpython >=3.6”Œpytz”Œrequests”Œretrying”Œscikit-learn”Œscipy”Œtimeout-decorator”t”h9h?h@ŒBSD 3-Clause”hDGAÖÕæÀàA‰hEMüfhFˆubh)”}”(hŒpywps”h#Œ4.5.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ pywps-4.5.1-pyh6c4a22f_0.tar.bz2”h+Œ e93aec21099ab2d52a7e3590aeb99a94”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pywps-4.5.1-pyh6c4a22f_0.tar.bz2”h0Œ@0b871851acd957b26e985bafd006f5555fea8f1282a1e06c8a6367a17f34c88d”h2NhNh3(Œdocutils”Œfiona”Œhumanize”Œjinja2”Œ
jsonschema”Œlxml”Œ
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r-magrittr”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒw$¥/hEJð‰8 hFˆubh)”}”(hŒ	dask-core”h#Œ	2021.11.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(dask-core-2021.11.2-pyhd8ed1ab_0.tar.bz2”h+Œ c3615fd90d2e5b11c5da6ea1f9a5730b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/dask-core-2021.11.2-pyhd8ed1ab_0.tar.bz2”h0Œ@696c39bb9375e4a320108a12adf44222be87caf844dc1baffd194eeeadcfb194”h2NhNh3(Œcloudpickle >=1.1.1”Œfsspec >=0.6.0”Œpackaging >=20.0”Œpartd >=0.3.10”Œpython >=3.7”Œpyyaml”Œtoolz >=0.8.2”Œsetuptools <60.0.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØf¼á&éhEJÛ: hFˆubh)”}”(hŒr-factominer”h#Œ2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-factominer-2.4-r41hc72bb7e_0.tar.bz2”h+Œ 967d761c76fc5f71ec9bae047a7c3c91”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-factominer-2.4-r41hc72bb7e_0.tar.bz2”h0Œ@cac0f24397af9b1ffbe6e6af69383c49353b5709659d6a6c1d27757abbc966e1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car”Œ	r-cluster”Œr-dt”Œ	r-ellipse”Œr-flashclust”Œ	r-ggplot2”Œ	r-ggrepel”Œ	r-lattice”Œr-leaps”Œr-mass”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ,òNùÛhEJ[ù9 hFˆubh)”}”(hŒr-rjdbc”h#Œ0.2_10”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-rjdbc-0.2_10-r40hc72bb7e_0.tar.bz2”h+Œ a3dc910a9d2280d9fc1bd386ccbf054e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rjdbc-0.2_10-r40hc72bb7e_0.tar.bz2”h0Œ@453a62b6084561a0995e38bda8f2c4537b3123cf07796f4fb5df3ae414393fce”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-dbi”Œr-rjava >=0.4_15”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ/	ªáHhEJI‰ hFˆubh)”}”(hŒpycodestyle”h#Œ2.6.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&pycodestyle-2.6.0-pyh9f0ad1d_0.tar.bz2”h+Œ a08d6f5a610c7194da158add79f2b018”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pycodestyle-2.6.0-pyh9f0ad1d_0.tar.bz2”h0Œ@a9a4c1f1da28fb779b8f591c62a1e63a3d3cb80f27c1ec4ea418e0e6928fc45d”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×®·üÊ=qhEMh˜hFˆube(h)”}”(hŒjpackage-utils-cos6-x86_64”h#Œ1.7.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6jpackage-utils-cos6-x86_64-1.7.5-h9b0a68f_1105.tar.bz2”h+Œ d2ac2a4709db5e32bc747766d7ae75d1”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/jpackage-utils-cos6-x86_64-1.7.5-h9b0a68f_1105.tar.bz2”h0Œ@c9c2cdbaf595287092a4e87356e70139fedfdc5247a6edf35217f739b6e60264”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@VQœjhEMoœhFˆubh)”}”(hŒ xcb-util-renderutil-cos7-ppc64le”h#Œ0.3.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<xcb-util-renderutil-cos7-ppc64le-0.3.9-h9b0a68f_1105.tar.bz2”h+Œ 85cc4da972c10fdcccc8d86fdadf3023”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-cos7-ppc64le-0.3.9-h9b0a68f_1105.tar.bz2”h0Œ@e7a1dd0f9a7706477bcfddd47dc4402c93e26172f1f6555ef8c5fc967113da44”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡ÐÛSøhEM«7hFˆubh)”}”(hŒnapari-labelimg4classification”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ9napari-labelimg4classification-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 366cd5bbc06b7288a626a33ce6225815”h.Œghttps://conda.anaconda.org/conda-forge/noarch/napari-labelimg4classification-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@802170e39bbafedb373907da5edc7c6210bbefe18202e73a687983b70d129452”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnapari-tools-menu”Œnumpy”Œpandas”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ~™óÀ´9hEMo(hFˆubh)”}”(hŒrdma-core-devel-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6rdma-core-devel-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h+Œ 4cdd78f151849b71bb5e408a43dff43a”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/rdma-core-devel-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h0Œ@539d9ea3e53affee2b7db48e7dd39f2d76155181552a0469487cd223579f78cc”h2NhNh3(Œibacm-cos7-aarch64 ==22.4 *_104”Œ#libibumad-cos7-aarch64 ==22.4 *_104”Œ$libibverbs-cos7-aarch64 ==22.4 *_104”Œ#librdmacm-cos7-aarch64 ==22.4 *_104”Œ#rdma-core-cos7-aarch64 ==22.4 *_104”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É}À[hEJs³ hFˆubh)”}”(hŒde-berufssprachkurssuche”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3de-berufssprachkurssuche-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ d4b1d3ce742d487513c8bfdd86c8fa52”h.Œahttps://conda.anaconda.org/conda-forge/noarch/de-berufssprachkurssuche-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@479c19cc48901f873d54204a6b2574d8ab9c436a95bf43f5a5085b61542c1c2e”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œurllib3 >=1.25.3”‡”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÑ,Õ›C–hEJ³¹ hFˆubh)”}”(hŒr-ggconf”h#Œ0.1.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ'r-ggconf-0.1.3-r36h6115d3f_1002.tar.bz2”h+Œ 1b8726ef95f0ea68464186d92671321f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggconf-0.1.3-r36h6115d3f_1002.tar.bz2”h0Œ@c08c3e27733f208c9648f421be623cfd91aba4bbff02f0c1de4a91d552339d14”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=2.2.0”Œr-rly >=1.3.0”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬È|Š¬hEJUƒ hFˆubh)”}”(hŒr-dbplot”h#Œ0.3.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-dbplot-0.3.3-r36h6115d3f_0.tar.bz2”h+Œ 4fa7201c8a27ec308d01a00f6227361a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dbplot-0.3.3-r36h6115d3f_0.tar.bz2”h0Œ@7ddb2483c5b77b02512d9a13341c14116611bb095710ffd8fe989ff204f0608a”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr >=0.7”Œ	r-ggplot2”Œr-purrr”Œr-rlang >=0.4”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×B™ßKÇhEJq— hFˆubh)”}”(hŒlibxml2-cos7-aarch64”h#Œ2.9.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libxml2-cos7-aarch64-2.9.1-h9d98e8f_104.tar.bz2”h+Œ ecad0623b512bcba2d8bab9537809dc6”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-aarch64-2.9.1-h9d98e8f_104.tar.bz2”h0Œ@74751d84bf034abef639e0bc6e16a3616b3790ae539a5ecbd25d25cf7010c93a”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy£?¾whEJE´
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Apache-2.0”hBŒApache”hDGAØ-€ã×
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Apache-2.0”hBŒApache”hDGA×—÷l‹hEMZAhFˆubh)”}”(hŒ
r-prabclus”h#Œ2.3_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-prabclus-2.3_2-r41hc72bb7e_1.tar.bz2”h+Œ 6366a59f44b9e97890be7453bdca81bb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prabclus-2.3_2-r41hc72bb7e_1.tar.bz2”h0Œ@c8708704b1c69bd25a50993a6eead0f9d22e5bea279632331fa7d4cee5c66ef8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-mclust”‡”h9hºh@ŒGPL”hBŒGPL”hDGAØ*ÝàÀA‰hEJ•‰ hFˆubh)”}”(hŒr-dml”h#Œ1.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ!r-dml-1.1.0-r42hc72bb7e_2.tar.bz2”h+Œ fc135171f16c46574eaae910b8da6726”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dml-1.1.0-r42hc72bb7e_2.tar.bz2”h0Œ@ed4bbc62c216aed8a32cdf519a0388156a5d3e5cec4fe49463450908d3225b17”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lfda”Œr-mass”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒŠþ„¼jhEMÕhFˆubh)”}”(hŒat-spi-cos7-aarch64”h#Œ1.32.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/at-spi-cos7-aarch64-1.32.0-h9b0a68f_105.tar.bz2”h+Œ 2d31e1f766b4e1fe363365cdee82abe0”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos7-aarch64-1.32.0-h9b0a68f_105.tar.bz2”h0Œ@07157e7e50b857eadfe4505ede1eb190170c40c658826412b6f9ebf39083727c”h2NhNh3(Œatk-cos7-aarch64 >=1.29.2 *_105”Œ gtk2-cos7-aarch64 >=2.10.0 *_105”Œ$libbonobo-cos7-aarch64 >=2.4.0 *_105”Œ!orbit2-cos7-aarch64 >=2.6.0 *_105”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@`ÂBáHhEJh1 hFˆubh)”}”(hŒlibxshmfence-devel-cos7-aarch64”h#Œ1.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxshmfence-devel-cos7-aarch64-1.2-ha826a6f_1103.tar.bz2”h+Œ dcc0164c38b4567748c7ff387bca0007”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-aarch64-1.2-ha826a6f_1103.tar.bz2”h0Œ@1c0c0c60f853432b7783de3d0d23e367cb5b7023fd21173b02bb6578fb10067c”h2NhNh3Œ&libxshmfence-cos7-aarch64 ==1.2 *_1103”Œsysroot_linux-aarch64 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GPL (>= 2)”hBŒGPL3”hDGA×U
bP“uhEJ2e hFˆubh)”}”(hŒim-pipelines-utils”h#Œ2.4.8”h%Œpy_0”h'K hhh(h)hŒ%im-pipelines-utils-2.4.8-py_0.tar.bz2”h+Œ 6001210e060ebc236546d53589990992”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/im-pipelines-utils-2.4.8-py_0.tar.bz2”h0Œ@0c8da6f1ef3e778ecccbee539f9ea4d2be7b2f0b6b1e030e0fd9c6064d074bba”h2NhNh3Œpython”…”h9h?h@Œ
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Apache 2.0”hDGA×‡ÍhEJ"
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r-jsonlite”Œr-leafem”Œr-leaflet >=2.0.2”Œ
r-magrittr”Œ
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motionless”h#Œ1.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%motionless-1.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2d8c8cc3f20d3cb09725471a895940bc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/motionless-1.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c3fd9e9320a20cbdae61d74c18a4ff4068c1f8a9e5302f4ec6a1cedc24840819”h2NhNh3Œpython >=2.7”…”h9h?h@Œ
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>=3.5,<3.6.0a0”Œr-geosphere”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LÊM/hEJöƒ hFˆubh)”}”(hŒnionswift-experimental”h#Œ0.7.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1nionswift-experimental-0.7.9-pyhd8ed1ab_0.tar.bz2”h+Œ b11ace0e2d3c9e7f7150c033469282b9”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nionswift-experimental-0.7.9-pyhd8ed1ab_0.tar.bz2”h0Œ@6f0413cbe526eff0a6c12a311c216fb33f6f970e80db5a88a4f880b85ddd598a”h2NhNh3Œnionswift >=0.15.0,<0.17.0”Œnionui >=0.6.3,<0.7.0”Œpython >=3.8”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¸RÅ¢^5hEJÑ÷ hFˆubh)”}”(hŒr-xmlschema”h#Œ0.8”h%Œr40hd8ed1ab_1002”h'Mêhhh(h)hŒ(r-xmlschema-0.8-r40hd8ed1ab_1002.tar.bz2”h+Œ b3e6c9b77718f8bf58359df6c408fc20”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-xmlschema-0.8-r40hd8ed1ab_1002.tar.bz2”h0Œ@860c266bc93842730d3743f6289f95c9283fbf71379aa910508ead349ad191b7”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-codetools”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØ*üø¼jhEJ9Å hFˆubh)”}”(hŒ xorg-x11-proto-devel-cos6-x86_64”h#Œ7.7”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:xorg-x11-proto-devel-cos6-x86_64-7.7-h9b0a68f_1105.tar.bz2”h+Œ a4ba5532533eed165ea7abdce1c038b2”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos6-x86_64-7.7-h9b0a68f_1105.tar.bz2”h0Œ@c2ef3ce6f8ec8409eb3dcd558f3624a94ca1c02cd7918f6abcbb74606a55a84f”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@UÈÆ¨hEJ˜ï hFˆubh)”}”(hŒ
r-rvertnet”h#Œ0.8.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-rvertnet-0.8.2-r41hc72bb7e_0.tar.bz2”h+Œ 35cbee3fee2ca8fc72dcb4ac302a6aa0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rvertnet-0.8.2-r41hc72bb7e_0.tar.bz2”h0Œ@cbec9194f21575290df0ac045e6da1e92c419b853bb0f1498c0ef9df31ddb811”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.5.2”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œr-jsonlite >=1.5”Œr-maps”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÜåqxÕhEJþ hFˆubh)”}”(hŒjson_tricks”h#Œ3.11.0”h%Œpy_0”h'K hhh(h)hŒjson_tricks-3.11.0-py_0.tar.bz2”h+Œ d2873f3f9ee7af92fcc70f7734ce3350”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/json_tricks-3.11.0-py_0.tar.bz2”h0Œ@9c864a0dcbdbbb21c7a894cd84ea538dab21fe449a6f5b9ac9bd455d0efdbd14”h2NhNh3(Œnumpy”Œpandas”Œpython”Œpytz”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÏéŠGïžhEM'OhFˆubh)”}”(hŒr-treemapify”h#Œ2.5.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-treemapify-2.5.5-r41hc72bb7e_0.tar.bz2”h+Œ 19eb487664fc4128e63882d984f86fa7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-treemapify-2.5.5-r41hc72bb7e_0.tar.bz2”h0Œ@8512b9f7d021916688d510919c4738978c259eab06d1ca3b900ff7a7328e9e0a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggfittext >=0.5.0”Œr-ggplot2 >=2.2.1”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ+Î´Ä“hEJç	 hFˆubh)”}”(hŒ
r-wikitaxa”h#Œ0.4.0”h%Œr41h785f33e_0”h'K hhh(h)hŒ&r-wikitaxa-0.4.0-r41h785f33e_0.tar.bz2”h+Œ bb1c9bdb86dbdc0653c5444a970f5028”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wikitaxa-0.4.0-r41h785f33e_0.tar.bz2”h0Œ@03f278c3df38a12dce1c1333d5189657aff3edc7758f980fdef80df1fa7eba96”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.3.4”Œr-curl”Œr-data.table”Œ
r-jsonlite”Œr-tibble”Œr-wikidatar”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+Ü«~hEJ³ç hFˆubh)”}”(hŒpymc3”h#Œ3.11.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pymc3-3.11.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0c8fda4ca867ec8c8dc5ed63ee8efbeb”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pymc3-3.11.2-pyhd8ed1ab_0.tar.bz2”h0Œ@fa0a55473294e41a0c0289f49ba055bdcee4131318e95fd28d633f88be6ca592”h2NhNh3(Œarviz >=0.11.0”Œcachetools >=4.2.1”Œdill”Œfastprogress >=0.2.0”Œmkl-service”Œnumpy >=1.15.0”Œpandas >=0.24.0”Œpatsy >=0.5.1”Œpython >=3.7”Œscipy >=1.2.0”Œsemver”Œtheano-pymc 1.1.2”Œtyping-extensions >=3.7.4”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ×(Ð  hEJÂŸ	 hFˆubh)”}”(hŒ
r-lmertest”h#Œ3.1_3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-lmertest-3.1_3-r42hc72bb7e_1.tar.bz2”h+Œ 35124e6816d489ec25085023e353e738”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lmertest-3.1_3-r42hc72bb7e_1.tar.bz2”h0Œ@56b731a6e5f8b7434ae4180e6a34924c52b6f8af3fdb526c38435c855dddf234”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-lme4 >=1.1_10”Œr-mass”Œ
r-numderiv”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒò5§
=hEJ>‰ hFˆubh)”}”(hŒr-ggresidpanel”h#Œ0.3.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ*r-ggresidpanel-0.3.0-r40hc72bb7e_2.tar.bz2”h+Œ 6326450c268fd65bd6ea5847ed291f79”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ggresidpanel-0.3.0-r40hc72bb7e_2.tar.bz2”h0Œ@b0ceafae4cfa4b143b5c2600943bc7449e5865fc7ff80ffb69b24344295f64ce”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cowplot”Œ	r-ggplot2”Œr-mass”Œr-plotly”Œ	r-qqplotr”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+»c=`BhEJâŠ hFˆubh)”}”(hŒazure-mgmt-containerregistry”h#Œ2.8.0”h%Œpy_0”h'K hhh(h)hŒ/azure-mgmt-containerregistry-2.8.0-py_0.tar.bz2”h+Œ 3c959f05ff7eb1b693ac2befcce06618”h.Œ]https://conda.anaconda.org/conda-forge/noarch/azure-mgmt-containerregistry-2.8.0-py_0.tar.bz2”h0Œ@2d6c0f38b4cfbc4c84dc1715add8f865826d18bb3527996f177c8b11453d74f2”h2NhNh3(Œazure-common >=1.1,<2”Œmsrest >=0.5.0”Œmsrestazure >=0.4.32,<2.0.0”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×2cÃÖ¸RhEJqá hFˆubh)”}”(hŒnose”h#Œ1.3.7”h%Œpy_1006”h'Mîhhh(h)hŒnose-1.3.7-py_1006.tar.bz2”h+Œ 382019d5f8e9362ef6f60a8d4e7bce8f”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/nose-1.3.7-py_1006.tar.bz2”h0Œ@874b013b498334e1fe088be78cbaedbf88ec9030afa0b5f3ba36e016f49817c2”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-2.1-only”hDGA×àÎ•ÒòhEJ(Ø hFˆubh)”}”(hŒr-transformer”h#Œ2.1.5”h%Œr41ha770c72_0”h'K hhh(h)hŒ)r-transformer-2.1.5-r41ha770c72_0.tar.bz2”h+Œ 41967f908ed3313f482cb69d451567c9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-transformer-2.1.5-r41ha770c72_0.tar.bz2”h0Œ@767f0233f2bc4c78d8d98fedbc103a44b37cb2d2d3f307c0fcaead1ffc265a49”h2NhNh3(Œr-abind”Œr-akima”Œr-base >=4.1,<4.2.0a0”Œr-fields”Œ	r-kohonen”Œ
r-magrittr”Œr-rcppeigen”Œr-sp”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡,hÄœhEJ	É
 hFˆubh)”}”(hŒ
r-threeway”h#Œ1.1.3”h%Œr351h6115d3f_0”h'K hhh(h)hŒ'r-threeway-1.1.3-r351h6115d3f_0.tar.bz2”h+Œ d9b696553c0e0ca384ed89766da7e427”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-threeway-1.1.3-r351h6115d3f_0.tar.bz2”h0Œ@dab9eeb4ddf4c1f4555873f5c2585478d6bb3abade86356a5b501b36b3bcb0d0”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Dð“uhEJ‚È hFˆubh)”}”(hŒr-catencoders”h#Œ0.1.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-catencoders-0.1.1-r36hc72bb7e_0.tar.bz2”h+Œ 269ccec3372ae206e40db67fb64ad2ae”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-catencoders-0.1.1-r36hc72bb7e_0.tar.bz2”h0Œ@478850387bd7e32f24e1f69a409b2997ee82c142b30b12bedd09e5e76a5910c2”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-data.table >=1.9.6”Œr-matrix >=1.2_6”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ.Ô\cSøhEMÅëhFˆubh)”}”(hŒr-ebimetagenomics”h#Œ0.6”h%Œr36h6115d3f_0”h'K hhh(h)hŒ+r-ebimetagenomics-0.6-r36h6115d3f_0.tar.bz2”h+Œ 66daf5511d2374e023bc3d1322cfad16”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-ebimetagenomics-0.6-r36h6115d3f_0.tar.bz2”h0Œ@ca446e4aff6f46990387755e2cd71822c0838f2be5c845f8da8f6b05f89253d7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-breakaway”Œr-sads”Œr-vegan”t”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×d½ÐVE¢hEM ×hFˆubh)”}”(hŒlibsm-cos7-ppc64le”h#Œ1.2.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libsm-cos7-ppc64le-1.2.2-h9b0a68f_105.tar.bz2”h+Œ 6f3707b2a758e7280bae4f0e122645b0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libsm-cos7-ppc64le-1.2.2-h9b0a68f_105.tar.bz2”h0Œ@5ec0e6e6d1a9c11f7e346d3ca042a39a6fe099c00e5648e4500bcf6db1fe5b80”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡Û4ýôhEM¢‘hFˆubh)”}”(hŒcached_property”h#Œ1.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*cached_property-1.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ bb94c31afe7cf40816161f0281c2fa41”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@27239e4c4e5b4931aadb29b6777591528957b1d77442a96de7705db4d2b694c5”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ê±!\Ý/hEMà*hFˆubh)”}”(hŒ
r-measures”h#Œ0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-measures-0.3-r42hc72bb7e_1.tar.bz2”h+Œ 925a102a69ab9a670fdd512f985c2ef9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-measures-0.3-r42hc72bb7e_1.tar.bz2”h0Œ@048cba625a275a417c1c226ed5430983133b6958761133e57b8ba035186fcdda”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ&S‡PhEJœ& hFˆubh)”}”(hŒhtml5lib”h#Œ1.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!html5lib-1.1-pyh9f0ad1d_0.tar.bz2”h+Œ b2355343d6315c892543200231d7154a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/html5lib-1.1-pyh9f0ad1d_0.tar.bz2”h0Œ@9ad06446fe9847e86cb20d220bf11614afcd2cbe9f58096f08d5d4018877bee4”h2NhNh3Œpython”Œ	six >=1.9”Œwebencodings”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×¼Œ :MÓhEJºd hFˆubh)”}”(hŒorca”h#Œ1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒorca-1.8-pyhd8ed1ab_0.tar.bz2”h+Œ e0c47f71ede4fc985baf2ad94b8cd099”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/orca-1.8-pyhd8ed1ab_0.tar.bz2”h0Œ@004ec1a26599b0c38ba588ca48836ffae105d6b2f3a49ecd7850ca200b5103db”h2NhNh3(Œpandas >=0.15.0”Œpytables >=3.1.0”Œpython >=3.6”Œtoolz >=0.8.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÑÑ3Å²-hEMmUhFˆubh)”}”(hŒsphinxcontrib-paverutils”h#Œ1.17.0”h%Œpy_1”h'Khhh(h)hŒ,sphinxcontrib-paverutils-1.17.0-py_1.tar.bz2”h+Œ 813fd31038fbeeec42c8e629d8929f5c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-paverutils-1.17.0-py_1.tar.bz2”h0Œ@eba7c2e52b7e7b6f6af60b60d2c2604f6bc46066f0adf51438c6f7e49c18835b”h2NhNh3Œpaver >=1.02.0”Œpython”Œsphinx >=0.6”‡”h9h?h@ŒBSD 2-Clause”hBŒBSD”hDGAÖÒÕ}„“hEM%/hFˆubh)”}”(hŒr-ssanv”h#Œ1.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ$r-ssanv-1.1-r36h6115d3f_1002.tar.bz2”h+Œ 93cacfb0b575e25a621b64ac70088215”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ssanv-1.1-r36h6115d3f_1002.tar.bz2”h0Œ@2ef363f14e77d13c52a95cdb82f25ebe08bfa5d9a1989b62b10dba0e53ae6992”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«ðMî—hEJB hFˆubh)”}”(hŒlibglvnd-opengl-cos7-aarch64”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7libglvnd-opengl-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h+Œ 659bfde3a69d3324b6a93a1a4dc48503”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libglvnd-opengl-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@6de9a7769001c54caba08fed1f870a338ef0bb6c1a9c8b8727a3c6d72395725f”h2NhNh3Œ#libglvnd-cos7-aarch64 ==1.0.1 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Y¥SC–hEMÙïhFˆubh)”}”(hŒr-forge”h#Œ0.2.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ#r-forge-0.2.0-r41hc72bb7e_3.tar.bz2”h+Œ 312945c4140d5c57f1fa6b534709802c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-forge-0.2.0-r41hc72bb7e_3.tar.bz2”h0Œ@069c41f31cab4b7cef39361fe2e3a54c7c15ba6fb30ea901224cf61f3613d473”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œr-rlang >=0.3.1”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ*Þ ºŸ¾hEM°ÌhFˆubh)”}”(hŒr-rvenn”h#Œ1.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-rvenn-1.1.0-r40hc72bb7e_0.tar.bz2”h+Œ d0ec260660deb54f7874815e4691e8e5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rvenn-1.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@38de3af5ea42428c57ae4ff4482377c012bcc9f2e2c6828acf40d55d873d2d7d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggforce >=0.2.1”Œr-ggplot2 >=3.0.0”Œr-magrittr >=1.5”Œr-pheatmap >=1.0.10”Œr-purrr >=0.2.5”Œr-rlang >=0.2.2”Œr-vegan >=2.5.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÇ½bhEJçÔ hFˆubh)”}”(hŒsysroot-cos7-ppc64le”h#Œ2.17”h%Œhbe0c576_10”h'K
hhh(h)hŒ-sysroot-cos7-ppc64le-2.17-hbe0c576_10.tar.bz2”h+Œ 9d9de3914c10a9a86311f5f2b7847863”h.Œ[https://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-ppc64le-2.17-hbe0c576_10.tar.bz2”h0Œ@2eac88b3da745f4869caae0cc1cc389a3079618a13a6599eab66a82fc224ca99”h2NhNh3Œsysroot_linux-ppc64le 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGA×Éd“˜A‰hEMÝ2hFˆubh)”}”(hŒr-bigparallelr”h#Œ0.3.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-bigparallelr-0.3.2-r41hc72bb7e_0.tar.bz2”h+Œ 4c6ecd05bca8a2c785b48a249ee18bd4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-bigparallelr-0.3.2-r41hc72bb7e_0.tar.bz2”h0Œ@c77adb53fc17c849fcea333623794df4dd023f78f4d5946314160f165c9238d7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bigassertr >=0.1.1”Œr-doparallel”Œr-flock”Œ	r-foreach”Œr-parallelly”Œr-rhpcblasctl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØV7ER^5hEM±èhFˆubh)”}”(hŒpython-unicorn”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)python-unicorn-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3b3dc872d0064972246ac563f22bac40”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python-unicorn-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@15dbb35ae8c1f34506cf96f06e9f2588664db33819341455a7d3354a808c3cd1”h2NhNh3Œpython >=2.7”Œunicorn 1.0.3 h7f98852_0”†”h9h?h@Œ3LGPL-2.0-only AND GPL-2.0-only AND GPL-2.0-or-later”hDGAØ+¥©Û#hEMõ•hFˆubh)”}”(hŒr-anom”h#Œ0.5”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ#r-anom-0.5-r41ha770c72_1002.tar.bz2”h+Œ b8ba00452f1223b19e759846b88e4921”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-anom-0.5-r41ha770c72_1002.tar.bz2”h0Œ@a9b1fd2515dcd25203498a851b98ca09d6b33aeec8d12f444497fbb5b394052a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-mcpan”Œ
r-multcomp”Œ
r-nparcomp”Œ	r-simcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+Æ0Ô1hEJ48 hFˆubh)”}”(hŒ	puremagic”h#Œ1.4”h%Œpy_0”h'K hhh(h)hŒpuremagic-1.4-py_0.tar.bz2”h+Œ cc5f8b57f096bbb7202264f16149377f”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/puremagic-1.4-py_0.tar.bz2”h0Œ@027ef645d48c25d4ddd6bb2c20402c416493bea34bd6a3590072bef7a8b19568”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¸ÛdZhEMhlhFˆubh)”}”(hŒlibxxf86vm-cos6-x86_64”h#Œ1.1.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libxxf86vm-cos6-x86_64-1.1.3-h9b0a68f_1105.tar.bz2”h+Œ fba350c49bc22452f199b2a1846cba43”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos6-x86_64-1.1.3-h9b0a68f_1105.tar.bz2”h0Œ@c3db860723001736d032b1780dc6ada4d58cbaad871e5f453bae17d6b6ef28f9”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\ùŽ5?hEM5hFˆubh)”}”(hŒlibxshmfence-devel-cos7-aarch64”h#Œ1.2”h%Œ
h1341992_0”h'K hhh(h)hŒ6libxshmfence-devel-cos7-aarch64-1.2-h1341992_0.tar.bz2”h+Œ 9f5cad171caaf03e88287b998623ee08”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-aarch64-1.2-h1341992_0.tar.bz2”h0Œ@eb33e8c8751b47121c53fd1f4725665daccc37725cfbb200ccf475b1ff3812aa”h2NhNh3Œ(libxshmfence-cos7-aarch64 1.2 h1341992_0”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ƒ£!W\)hEMQhFˆubh)”}”(hŒrb-little-plugger”h#Œ1.1.4”h%Œ
hc42de5b_0”h'K hhh(h)hŒ*rb-little-plugger-1.1.4-hc42de5b_0.tar.bz2”h+Œ bef72d27010108236dc671e072be1c5b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/rb-little-plugger-1.1.4-hc42de5b_0.tar.bz2”h0Œ@31af5bf6ca5de3b376561d0ffc581363c11a7592f676faabd84187011c6d66ff”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×[ªoïß;hEMIhFˆubh)”}”(hŒ
graphql-ws”h#Œ0.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%graphql-ws-0.4.4-pyhd8ed1ab_0.tar.bz2”h+Œ 2372b5207933a0f0118985dd55837e47”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/graphql-ws-0.4.4-pyhd8ed1ab_0.tar.bz2”h0Œ@a36d10b7908dbeb3d3eb84d07a937afa2f1135db610b665a9341ee1a6d7d0701”h2NhNh3Œgraphql-core >=2.0,<3”Œpython >=2.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØe¹’7\)hEMIDhFˆubh)”}”(hŒlibibverbs-cos6-x86_64”h#Œ1.1.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ2libibverbs-cos6-x86_64-1.1.8-hdf0574f_1102.tar.bz2”h+Œ 6108d49176759e906e0096654da95a0d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos6-x86_64-1.1.8-hdf0574f_1102.tar.bz2”h0Œ@6fa0314cc7d0ccb1ac298af1a650a5d55b1eab39ce3a56a9803b11555d267c19”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Å+(2ÀƒhEMÐhFˆubh)”}”(hŒr-gap.datasets”h#Œ0.0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-gap.datasets-0.0.5-r41hc72bb7e_1.tar.bz2”h+Œ ab2f6c8a95e1b219c9b13bec15476a8c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gap.datasets-0.0.5-r41hc72bb7e_1.tar.bz2”h0Œ@dc13215190edb98a9edb19ada345a5c48464abfbfc5f3a88e8b9dcbfc110b5eb”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐþ)«•hEJŒK7 hFˆubh)”}”(hŒ
r-writexls”h#Œ6.4.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-writexls-6.4.0-r42hc72bb7e_1.tar.bz2”h+Œ 5c9217f458dc830cf982d5088712f238”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-writexls-6.4.0-r42hc72bb7e_1.tar.bz2”h0Œ@3c23fc252d3b0a8bdbfed7bc1e771342dea664236d07f8c6363e070caf6fcd8b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑÅ½5p¤hEJ€m	 hFˆubh)”}”(hŒr-plogr”h#Œ0.2.0”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ'r-plogr-0.2.0-r351h6115d3f_1001.tar.bz2”h+Œ b5ad7dc34bc9219942c61e071d766cc9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-plogr-0.2.0-r351h6115d3f_1001.tar.bz2”h0Œ@c90323a5eeb727c6471fac20d03b1f1d4453f189809d59b76b7c15464bbaf337”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÖû©Uf{hEMïGhFˆubh)”}”(hŒ
mercantile”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%mercantile-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ aa20d014b5bd1924727dd86467648a27”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mercantile-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@372275c3b0b0e5028cd25a87a23b23311b3412e556f8ee1768473e7634fb94ea”h2NhNh3Œclick >=3.0”Œpython >=3.6”Œ
setuptools”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ ŒÅp¤hEMÎDhFˆubh)”}”(hŒdwave-networkx”h#Œ0.8.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*dwave-networkx-0.8.12-pyhd8ed1ab_0.tar.bz2”h+Œ 5432d4d9aa97729f7778b277767522d9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/dwave-networkx-0.8.12-pyhd8ed1ab_0.tar.bz2”h0Œ@b01e1443ab5f95e822234592d89fb20e27aeec8d6f44f3d70ced375a565c4f58”h2NhNh3Œdimod >=0.10.8,<0.13.0”Œnetworkx >=2.4,<3.0”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØsLoPhEM)øhFˆubh)”}”(hŒlibidl-cos6-x86_64”h#Œ0.8.13”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libidl-cos6-x86_64-0.8.13-ha826a6f_1103.tar.bz2”h+Œ cca26a9722c86f1df5c8157ea597090c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libidl-cos6-x86_64-0.8.13-ha826a6f_1103.tar.bz2”h0Œ@765010fb8a457c781e84615eeb08a6b81f5575e81fb28df14f7637268fb4d088”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/TÀbhEJÊv hFˆubh)”}”(hŒkernel-headers-cos6-x86_64”h#Œ2.6.32”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7kernel-headers-cos6-x86_64-2.6.32-h9d98e8f_1104.tar.bz2”h+Œ 9800a084303da0f1674eff4895b7ec73”h.Œehttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos6-x86_64-2.6.32-h9d98e8f_1104.tar.bz2”h0Œ@c8279afe751523ac4d96ad351f1b163a7b31ba07da94f03d1c26e6fa47b70c33”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Éz+O\)hEMâhFˆubh)”}”(hŒhtmap”h#Œ0.6.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ htmap-0.6.1-pyhd8ed1ab_1.tar.bz2”h+Œ 675b3652143876058cd79db5e115d093”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/htmap-0.6.1-pyhd8ed1ab_1.tar.bz2”h0Œ@12a8035d836a9451bb42797bd00093cf9cab10f17fce6415e3aa6f38331f296e”h2NhNh3(Œclick >=7.0,<8.0.0a0”Œ!click-didyoumean >=0.0.3,<0.1.0a0”Œcloudpickle >=1.4,<2.0.0a0”Œhalo >=0.0.28,<0.1.0a0”Œpython >=3.6”Œpython-htcondor >=8.8.0”Œtoml >=0.10.0,<1.0.0a0”Œtqdm >=4.36,<5.0.0a0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØå¾~hEMsÖhFˆubh)”}”(hŒ	r-natserv”h#Œ1.0.0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ%r-natserv-1.0.0-r40h6115d3f_0.tar.bz2”h+Œ 719b53af01f49a94f1f5109142a2ac87”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-natserv-1.0.0-r40h6115d3f_0.tar.bz2”h0Œ@b05641220d404a15936e1c3294d558d936baa579dbe2093262f7f34808f7ae59”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.7.0”Œr-data.table >=1.12.0”Œr-tibble >=2.0.1”Œr-xml2 >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×°ka×|îhEJ=` hFˆubh)”}”(hŒr-profilemodel”h#Œ0.6.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ*r-profilemodel-0.6.1-r40ha770c72_0.tar.bz2”h+Œ 2624ebfac9a2930dc14e1a0a9466f011”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-profilemodel-0.6.1-r40ha770c72_0.tar.bz2”h0Œ@c32e9775f54e566f995bdfcd7b69843953c1aa2d6d63c769980c009c06279259”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL 2.0”hBŒGPL”hDGA×þ4@ø ÅhEJ*Ï hFˆubh)”}”(hŒ
r-micropan”h#Œ2.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-micropan-2.1-r36h6115d3f_0.tar.bz2”h+Œ 827c93820bf1e41c7e0ad6607a2d3ed8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-micropan-2.1-r36h6115d3f_0.tar.bz2”h0Œ@147752b0f93829962a0fc07c68057e6010f5053a5a3f15c0a3183c02ab51a3de”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-igraph”Œ
r-microseq”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ÃÔ€Æ¨hEJ_ hFˆubh)”}”(hŒasync”h#Œ3.1.0”h%j3G h'K hhh(h)hŒasync-3.1.0-0.tar.bz2”h+Œ 8b453467d824f642b1397e6a8f2cc857”h.ŒChttps://conda.anaconda.org/conda-forge/noarch/async-3.1.0-0.tar.bz2”h0Œ@3f137b9cbfda6e20c70ebe18c895b119c3d4cd6aab6ec1af03f9b86214f15486”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×Fg³¸RhEJ<e hFˆubh)”}”(hŒscikit-plot”h#Œ0.3.7”h%Œpy_0”h'K hhh(h)hŒscikit-plot-0.3.7-py_0.tar.bz2”h+Œ bde1534dfdf04664af0860370b6b02b7”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/scikit-plot-0.3.7-py_0.tar.bz2”h0Œ@f21969cb2e7a71121f734d2fd1e26539d6b39aec6b9646fd21b1835a05e89dcc”h2NhNh3(Œjoblib”Œ
matplotlib”Œpython”Œscikit-learn”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÞŸ"fÙhEM™]hFˆubh)”}”(hŒr-fail”h#Œ1.3”h%Œ	r351_1000”h'Mèhhh(h)hŒr-fail-1.3-r351_1000.tar.bz2”h+Œ e40cedaf62a0e96a696f8ff719d5b845”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-fail-1.3-r351_1000.tar.bz2”h0Œ@12de29c988e54c94e81feab4dcd04a8c7af0bb77aefcbf797ca189fad4e1f4c0”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-bbmisc”Œr-checkmate”‡”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGAÖýëþùÛhEM›ÅhFˆubh)”}”(hŒlibxi-devel-cos7-aarch64”h#Œ1.7.9”h%Œha826a6f_103”h'Kghhh(h)hŒ3libxi-devel-cos7-aarch64-1.7.9-ha826a6f_103.tar.bz2”h+Œ 7a0e6b186368de78e1cfca0b614163e3”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-aarch64-1.7.9-ha826a6f_103.tar.bz2”h0Œ@4a52d28d7ae328b38be2fa12d5c0d1e202c7f329970536b6d1c9a258b1851fb2”h2NhNh3Œ libxi-cos7-aarch64 ==1.7.9 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2A0õÃhEJKu hFˆubh)”}”(hŒrastervision-gdal-vsi”h#Œ0.13.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1rastervision-gdal-vsi-0.13.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7003bd278ec251a6ab56d10ae48b233e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/rastervision-gdal-vsi-0.13.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1a09be4e34e792fe958537af5ae16bc495b00a2960d701ee4716adc16b5172c2”h2NhNh3Œ
gdal 3.0.4”Œpython >=3.6”Œrastervision-pipeline 0.13.1”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØdôÙË÷ÏhEM¨#hFˆubh)”}”(hŒr-lmds”h#Œ0.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-lmds-0.1.0-r36h6115d3f_0.tar.bz2”h+Œ a1aa18958611e229a038dbf75bd45135”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmds-0.1.0-r36h6115d3f_0.tar.bz2”h0Œ@89467c336c74cb869954d2a0d713e353d5442e32ecd588976d3bf7a50b22cf02”h2NhNh3(Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œr-dynutils >=1.0.3”Œr-irlba”Œr-matrix”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×{ ±ÂÐåhEJmÕ hFˆubh)”}”(hŒ	r-fdboost”h#Œ1.1_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-fdboost-1.1_1-r41hc72bb7e_0.tar.bz2”h+Œ 233b92671b5dace52d57ae8399bb9ad3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-fdboost-1.1_1-r41hc72bb7e_0.tar.bz2”h0Œ@7eb92cc5c13b4a115d135bc0bdfca4e6c3bc79d2129a4af1d6b81f609b2db02c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gamboostlss >=2.0_0”Œr-mass”Œr-matrix”Œr-mboost >=2.8_0”Œr-mgcv”Œr-stabs”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÎ3×ÿl‹hEJDÞ4 hFˆubh)”}”(hŒr-bibitr”h#Œ0.3.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-bibitr-0.3.1-r40h6115d3f_1.tar.bz2”h+Œ 2fc206c66b0b9562e12d971a3ab13293”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bibitr-0.3.1-r40h6115d3f_1.tar.bz2”h0Œ@3aa7394d5800972c81a79e12d1a1468febb2f08572f88875bc00794962cc210c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-biclust”Œ	r-cluster”Œr-dendextend”Œ	r-foreign”Œ	r-lattice”Œr-randomcolor”Œ	r-viridis”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­‰W\)hEJ:E hFˆubh)”}”(hŒvoila-reveal”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'voila-reveal-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4291e2cc1b2e8d4bc17206c292aeab9f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/voila-reveal-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0818fd5a74929e5bc429da8b0089c69d52bd7f05d9d3c446dc57b3cbdba22c41”h2NhNh3Œpython >=3.7”Œvoila >=0.2.1,<0.3”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ'_òšMÓhEMV3hFˆubh)”}”(hŒdedupe-variable-datetime”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3dedupe-variable-datetime-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ dd13b2ad56e3414b835adbdaa127636d”h.Œahttps://conda.anaconda.org/conda-forge/noarch/dedupe-variable-datetime-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@8f77198983080f38c1f04de5bbaea03ac87394489ba757f1575d93fcc6058008”h2NhNh3Œdatetime-distance”Œfuture”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØl4îhEMshFˆubh)”}”(hŒlibpng-devel-cos7-x86_64”h#Œ1.5.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libpng-devel-cos7-x86_64-1.5.13-h9b0a68f_1105.tar.bz2”h+Œ 67fd472c6761316eceed0ab5742db11a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-x86_64-1.5.13-h9b0a68f_1105.tar.bz2”h0Œ@e7dba81d0b41a2523ae3aeb482297dca2aae11bcfc659537a8fd5651e5bd5511”h2NhNh3Œ"libpng-cos7-x86_64 ==1.5.13 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@Œzlib”hBŒOther”hDGAØ@k€NùÛhEJÚÁ hFˆubh)”}”(hŒr-ncmeta”h#Œ0.3.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ncmeta-0.3.5-r41hc72bb7e_0.tar.bz2”h+Œ b604de66d1a7632bcacb7a696cd09320”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ncmeta-0.3.5-r41hc72bb7e_0.tar.bz2”h0Œ@5232ed59fe014bd1def74c55f1ce7c753616d373a2efabda3e1c30c5971d9cc1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-rlang”Œ	r-rnetcdf”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÖŠ¯Ãt¼hEJ› hFˆubh)”}”(hŒlibselinux-cos7-aarch64”h#Œ2.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libselinux-cos7-aarch64-2.5-h9b0a68f_105.tar.bz2”h+Œ 2275516b70095a7b33a4cb1abd856108”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-aarch64-2.5-h9b0a68f_105.tar.bz2”h0Œ@90cb25a45ba664b93e0e965f154fbf30fad58717e42d78a9b041e718f819cdf5”h2NhNh3Œ!libsepol-cos7-aarch64 >=2.5 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@Xâ+÷ÏhEJ½… hFˆubh)”}”(hŒpymatgen-lammps”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pymatgen-lammps-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ aa1da99157def7075b12f7d058390dae”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pymatgen-lammps-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4421844a6094db0266e1194c66bc0f3619d6f0e6ec86aed7158edfcd080f7717”h2NhNh3Œpymatgen”Œpython >=3.6”Œpyzmq”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØDm£[Æ¨hEM»bhFˆubh)”}”(hŒr-distillery”h#Œ1.2_1”h%Œr36h785f33e_0”h'K hhh(h)hŒ(r-distillery-1.2_1-r36h785f33e_0.tar.bz2”h+Œ 60ef78fc3bfd03825536395a970cf814”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-distillery-1.2_1-r36h785f33e_0.tar.bz2”h0Œ@a28a7c10b3f8a05ae59081b1c7cf5596a85c4e4325cb1441be1f8b207f4cd0ed”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ)ÏMôZhEJÀ hFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-ppc64le”h#Œ2018.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ=xorg-x11-proto-devel-cos7-ppc64le-2018.4-h9b0a68f_105.tar.bz2”h+Œ 8c29a1f544b5a5099764975cfdd0b7a9”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-ppc64le-2018.4-h9b0a68f_105.tar.bz2”h0Œ@60487329005e3db9e6981d94b73917e255891207c8fed006fbe003f15d3df943”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡´¹XhEJ{N hFˆubh)”}”(hŒlibxxf86vm-cos6-x86_64”h#Œ1.1.3”h%Œh1795305_1101”h'MMhhh(h)hŒ2libxxf86vm-cos6-x86_64-1.1.3-h1795305_1101.tar.bz2”h+Œ 27ea2d2621f491a3bdd1f730d48b491d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos6-x86_64-1.1.3-h1795305_1101.tar.bz2”h0Œ@23c61c76d65053992df5ed6d8ea703c1d189fe915d10db59ff3a974bbfe3a7fe”h2NhNh3Œlibx11-cos6-x86_64 >=1.5.99.902”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å%ûª-hEM©1hFˆubh)”}”(hŒ
r-hydrotsm”h#Œ0.6_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-hydrotsm-0.6_0-r41hc72bb7e_0.tar.bz2”h+Œ 1a84011207824dcb62c8183c0efb4df9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hydrotsm-0.6_0-r41hc72bb7e_0.tar.bz2”h0Œ@dfb900e3111c09645de5e3e074c451578e24eeb399432e9d236a68c64ca0aab9”h2NhNh3(Œ	r-automap”Œr-base >=4.1,<4.2.0a0”Œr-e1071”Œr-gstat”Œ	r-lattice”Œ
r-maptools”Œr-sp >=1.1_0”Œr-xts >=0.9_7”Œr-zoo >=1.7_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÃvÒ„¼jhEJ«Œ hFˆubh)”}”(hŒdolfin-adjoint”h#Œ2019.1.0”h%Œpy_0”h'K hhh(h)hŒ$dolfin-adjoint-2019.1.0-py_0.tar.bz2”h+Œ ce3d0503f34392701a11a8398ee0f090”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dolfin-adjoint-2019.1.0-py_0.tar.bz2”h0Œ@233cace11ceb7c8bbb1ec64418cadfa33896efc0569b00a0c30204011f46a709”h2NhNh3(Œfenics 2019.1.*”Œmoola >=0.1.6”Œpython >=3.5”Œscipy”t”h9h?h@ŒLGPL-3.0”hBŒLGPL”hDGA×ZŸ1ˆbhEMëhFˆubh)”}”(hŒr-lim”h#Œ1.4.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-lim-1.4.7-r41hc72bb7e_0.tar.bz2”h+Œ bdca44674250599b3565cc94fe547c8e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lim-1.4.7-r41hc72bb7e_0.tar.bz2”h0Œ@14f07ce1bf3e8eea657b393cc0dc863b2f0edec979a8bd53b4d668ea33c39014”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-diagram”Œ
r-limsolve”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØžêï˜ÄœhEJ*Ó hFˆubh)”}”(hŒr-aws.ec2metadata”h#Œ0.2.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ-r-aws.ec2metadata-0.2.0-r36h6115d3f_1.tar.bz2”h+Œ d7facc2a1d9b4fd4e4d4f15cf7f10f62”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-aws.ec2metadata-0.2.0-r36h6115d3f_1.tar.bz2”h0Œ@6da000b892acad6bb1899d903c91190f7d9a5550e9a912b5ac604cfd81709a35”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-curl”Œ
r-jsonlite”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­°Í?}hEMázhFˆubh)”}”(hŒanalytics-python”h#Œ1.4.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ+analytics-python-1.4.0-pyh6c4a22f_0.tar.bz2”h+Œ b18892301185f03fb7ae81f6c65ea82e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/analytics-python-1.4.0-pyh6c4a22f_0.tar.bz2”h0Œ@b420b0d39a8817993becbceef4ce94ac8c83705fef901af8836df27c0c207243”h2NhNh3(Œbackoff 1.10.0”Œmonotonic >=1.5”Œpython >=3.6”Œpython-dateutil >2.1”Œrequests >=2.7,<3.0”Œ	six >=1.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØµÑ&éhEM»GhFˆubh)”}”(hŒmatminer”h#Œ0.7.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ#matminer-0.7.4-pyhd8ed1ab_2.tar.bz2”h+Œ 56a17a5d4ed7e7148208e9e2d32ba285”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/matminer-0.7.4-pyhd8ed1ab_2.tar.bz2”h0Œ@e332be90dfa769539b98a147d4bea08e59e099452d123ad73bc99a4bec82830c”h2NhNh3(Œfuture >=0.16.0”Œjsonschema >=4.2.1”Œmonty >=3.0.1”Œnumpy >=1.18.3”Œpandas >=0.23.4”Œpint >=0.8.1”Œpip”Œplotly >=3.2.1”Œpymatgen >=2019.10.2”Œpymongo >=3.11.2”Œpython >=3.5”Œrequests >=2.20.0”Œscikit-learn >=0.21.3”Œsix >=1.16.0”Œsympy >=1.6”Œtqdm >=4.23.1”t”h6(Œujson >=1.35”Œjmespath >=0.9.3”Œcitrination-client >=4.0.1”Œaflow >=0.0.9”Œdscribe >=0.2.9”Œmdf_forge >=0.6.1”Œhttplib2 >=0.10.3”Œase >=3.14.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØu"H§ðhEJ®« hFˆubh)”}”(hŒr-gclus”h#Œ1.3.2”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ#r-gclus-1.3.2-r41hc72bb7e_3.tar.bz2”h+Œ e4924f32d0ee4d9283173debae57d367”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gclus-1.3.2-r41hc72bb7e_3.tar.bz2”h0Œ@1df9b1627860b79482110c098a9c9cdf8aa65afde90cbf7871e854a2e7496234”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑS|¡ËhEJžÌ hFˆubh)”}”(hŒ#xcb-util-keysyms-devel-cos7-aarch64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ?xcb-util-keysyms-devel-cos7-aarch64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ 311eb098f01558f36361111a4532f97e”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-devel-cos7-aarch64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@33fb0731457ac2188cd5441f1d195b357e525bf55a5d7746f48e781225481aa3”h2NhNh3Œsysroot_linux-aarch64 2.17.*”Œ,xcb-util-keysyms-cos7-aarch64 ==0.4.0 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œ˜¬ÌÍhEMÑhFˆubh)”}”(hŒlibibmad-devel-cos7-aarch64”h#Œ1.3.13”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7libibmad-devel-cos7-aarch64-1.3.13-h9b0a68f_105.tar.bz2”h+Œ 0fda4430abe8addadb9e93b92d64da4c”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libibmad-devel-cos7-aarch64-1.3.13-h9b0a68f_105.tar.bz2”h0Œ@cde8c8bc7b9d8f88e727dd2ed00a71b4a780f7c3b916bf3b30a99a8ab7b67118”h2NhNh3Œ$libibmad-cos7-aarch64 ==1.3.13 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ³ÿò‚ÀƒhEM‘ZhFˆubh)”}”(hŒnss-cos7-aarch64”h#Œ3.44.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ,nss-cos7-aarch64-3.44.0-hdf0574f_102.tar.bz2”h+Œ 2ebfc51c60dd455ccbef546475611996”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos7-aarch64-3.44.0-hdf0574f_102.tar.bz2”h0Œ@50a8d97a642cbc9aa54d6d28b52ef9442a4280886674a24d8f050204cd2809f2”h2NhNh3Œ nspr-cos7-aarch64 >=4.21.0 *_102”Œ$nss-util-cos7-aarch64 >=3.44.0 *_102”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+šbŸ¾hEJU± hFˆubh)”}”(hŒproject_name”h#Œ0.2.175”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)project_name-0.2.175-pyhd8ed1ab_0.tar.bz2”h+Œ fbb5d37e262d2fdf9f0856941b578f68”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/project_name-0.2.175-pyhd8ed1ab_0.tar.bz2”h0Œ@7981b1394c29f8c5fc07093931969b469a3a0d5c9af86714c118af5539e2fffc”h2NhNh3Œpython >=3.6”…”h9h?h@Œ	Unlicense”hDGAØKI·ïžhEM5%hFˆubh)”}”(hŒ	r-cvtools”h#Œ0.3.2”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ(r-cvtools-0.3.2-r40h6115d3f_1003.tar.bz2”h+Œ 3bb9c60e255562346c7da0cbb9b07391”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cvtools-0.3.2-r40h6115d3f_1003.tar.bz2”h0Œ@73c552708074104543ec8f78b01c347729b105d8c402bcb2e61a34a64580d535”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-lattice”Œr-robustbase”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«ës×
hEJÎ} hFˆubh)”}”(hŒ"opentelemetry-semantic-conventions”h#Œ0.28b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>opentelemetry-semantic-conventions-0.28b0-pyhd8ed1ab_0.tar.bz2”h+Œ 2551b4891f46546602709bc22dc1b76e”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/opentelemetry-semantic-conventions-0.28b0-pyhd8ed1ab_0.tar.bz2”h0Œ@1fa8fd7268d4a16c9cf4d80f8889f5fd2ff22b63d385d4746a1a50166b77e80a”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ|n7„ýôhEM"chFˆubh)”}”(hŒdjango-request-id”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,django-request-id-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3dd13108653a664063e9f3accdbf3750”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/django-request-id-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0ec1f911bf647b86426e1223ae06c243319000cb57201e3d1d1506c38bf57319”h2NhNh3Œdjango”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hD•      GAØ¾¡õ*¬hEM–,hFˆubh)”}”(hŒr-radarchart”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-radarchart-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ 12b871cccf938ea374601aec2fca6919”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-radarchart-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@67057a4c57af41d9e5ad017bff5905a2fba7b8b0ceb68630a43524edf74a7d49”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-htmlwidgets”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØrÄ5?hEJ:o hFˆubh)”}”(hŒlibnl3-cli-cos7-ppc64le”h#Œ3.2.28”h%Œha826a6f_103”h'Kghhh(h)hŒ3libnl3-cli-cos7-ppc64le-3.2.28-ha826a6f_103.tar.bz2”h+Œ d3c654ac893629efa6f1433d9999fbef”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl3-cli-cos7-ppc64le-3.2.28-ha826a6f_103.tar.bz2”h0Œ@67799d3b1a4c51b44e1d12b9ee2317f29b2f4af718def63917220612ce0d24a7”h2NhNh3Œ"libnl3-cos7-ppc64le ==3.2.28 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×È,µjn˜hEJ!j hFˆubh)”}”(hŒr-ismev”h#Œ1.42”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ%r-ismev-1.42-r42hc72bb7e_1003.tar.bz2”h+Œ 0c9f235ec971d72d9b39b4be44017382”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ismev-1.42-r42hc72bb7e_1003.tar.bz2”h0Œ@d5e04a4bca3abd0fb8d4ab32a3a075c43294c153497339a35339738938213817”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mgcv”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ`¨qhshEJØW hFˆubh)”}”(hŒr-cmdfun”h#Œ1.0.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-cmdfun-1.0.2-r36hc72bb7e_0.tar.bz2”h+Œ 0cbf16a4e3de8db0891d79c422ec69cc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cmdfun-1.0.2-r36hc72bb7e_0.tar.bz2”h0Œ@bfd667a7806d05fe6c740e2f3e4a946be23fe312ef71abc54ee1eba4ea454989”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-magrittr”Œr-purrr”Œ	r-r.utils”Œr-rlang”Œ
r-testthat”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGA×çÑÆì9XhEJew hFˆubh)”}”(hŒr-ids”h#Œ1.0.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ!r-ids-1.0.1-r36h6115d3f_1.tar.bz2”h+Œ b599dc2c4ce9516aa41e10a0220e8d01”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ids-1.0.1-r36h6115d3f_1.tar.bz2”h0Œ@eb734b71915d24f09762744ec6bbe0771cb9e764263dc20df69c000690c1271c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-openssl”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×³×?ÂáHhEJîö hFˆubh)”}”(hŒr-xml2r”h#Œ0.0.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-xml2r-0.0.6-r42hc72bb7e_1.tar.bz2”h+Œ 707b8f522b24545ba0a97d583f20a590”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-xml2r-0.0.6-r42hc72bb7e_1.tar.bz2”h0Œ@249a12c228494d1f03d20a0fe8c9d3d641d5e535774ffdcfd7e5122be2197ebe”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-plyr”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ?~ŽÈ´hEMÈÕhFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-aarch64”h#Œ1.20.4”h%Œha826a6f_103”h'Kghhh(h)hŒ?xorg-x11-server-common-cos7-aarch64-1.20.4-ha826a6f_103.tar.bz2”h+Œ 6edec1f38693e4a5dc29e5b87a46f621”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-aarch64-1.20.4-ha826a6f_103.tar.bz2”h0Œ@2f0168d6dabab41d2ca94c63ae4d1a15c561e9e58fa9e0d7b0315bc6db637d8e”h2NhNh3Œ"pixman-cos7-aarch64 >=0.30.0 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0?Ì‹DhEMû„hFˆubh)”}”(hŒqtmodern”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#qtmodern-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4c8f4634f83f8f7843d678d189e36b0f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/qtmodern-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a1d16016d8faa5028e64e473e93d4f8d0f108111b026a6ecd3f812e26cc85d42”h2NhNh3Œpython >=3.7”Œqtpy”†”h9h?h@ŒMIT”hBŒMIT”hDGAØYs/‘hshEM=(hFˆubh)”}”(hŒ
r-tidygate”h#Œ0.4.9”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-tidygate-0.4.9-r41hc72bb7e_0.tar.bz2”h+Œ 350766f120d836368387af8aaafa741e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidygate-0.4.9-r41hc72bb7e_0.tar.bz2”h0Œ@6a990b3eddb7935f038d424504de41eff376ac7e1e705840788daf3e691cbaf4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-lifecycle”Œ
r-magrittr”Œr-purrr”Œr-rcolorbrewer”Œr-rlang”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œ	r-viridis”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ„Ì<BáHhEJ®»	 hFˆubh)”}”(hŒapipkg”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!apipkg-3.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 1a216806cfcb32f49b6701b88c04c611”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/apipkg-3.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a8de89db83738eb495821cf1963426ab0c3d0bc035915bf74644c7249903e654”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¨vû³C–hEM&,hFˆubh)”}”(hŒase-notebook”h#Œ0.3.2”h%Œpy_0”h'K hhh(h)hŒase-notebook-0.3.2-py_0.tar.bz2”h+Œ 225b1290df2e76429da31f4b231845a3”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ase-notebook-0.3.2-py_0.tar.bz2”h0Œ@218ce3d9f6f37c9b18532f243a7f7122e5a828d2bae5c6a9e3b32ae813e292dc”h2NhNh3(Œase >=3.18,<4”Œattrs >=19,<20”Œimportlib_resources >=1,<2”Œipywidgets >=7.5,<8”Œmatplotlib-base >=3.1,<4”Œnumpy >=1.16”Œpython >=3.5”Œpythreejs >=2.1,<3”Œsvgutils >=0.3,<0.4”Œsvgwrite >=1.3,<2”t”h9h?h@ŒMIT”hBŒMIT”hDGA×£ÄkohEM¦´hFˆubh)”}”(hŒnose-exclude”h#Œ0.5.0”h%Œpy_0”h'K hhh(h)hŒnose-exclude-0.5.0-py_0.tar.bz2”h+Œ ad64ebb6f0f758258520266d11e5c25e”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/nose-exclude-0.5.0-py_0.tar.bz2”h0Œ@892e5d724ce1c6c8fe91c3d99fa5e4539ded3cb13d1e09779f03e19b808bf478”h2NhNh3Œnose”Œpython”Œ
setuptools”‡”h9h?h@ŒLGPL-2.1”hBŒLGPL”hDGA×+wF1‰7hEM^BhFˆubh)”}”(hŒr-ppls”h#Œ1.6_1.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ'r-ppls-1.6_1.1-r40h6115d3f_1002.tar.bz2”h+Œ 974688f475dcf501e9d069cd80553d5e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ppls-1.6_1.1-r40h6115d3f_1002.tar.bz2”h0Œ@bd09a1851cc31bad7980458ac4260e09e204dcc0b64e8cd0e12aa147cc586f4d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ÑÈ ÅhEJÂX hFˆubh)”}”(hŒpenaltymodel”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'penaltymodel-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ c51eddae992e342bda1ab8d3e9750ee4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/penaltymodel-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9323ccec1600c204a7719ff59b133bea0ceb747ba542ca91b4dd65404dbeb082”h2NhNh3(Œdimod >=0.10.9,<0.13.0”Œhomebase >=1.0.1,<2.0.0”Œnetworkx >=2.4,<3.0”Œnumpy >=1.20.0”Œpython >=3.7”Œscipy >=1.6.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØšoù%hEMhqhFˆubh)”}”(hŒcfn-flip”h#Œ1.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#cfn-flip-1.3.0-pyhd8ed1ab_1.tar.bz2”h+Œ 53d147eb390c6befb3fd8af590ca7a5a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cfn-flip-1.3.0-pyhd8ed1ab_1.tar.bz2”h0Œ@edea2bcef1c96d4baeff92d99de1efc91f29fd24b69c4e450a29b97f4c3b54db”h2NhNh3(Œclick”Œpython >=3.6”Œpyyaml >=4.1”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØzŽóåãThEM"OhFˆubh)”}”(hŒr-uroot”h#Œ2.1_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-uroot-2.1_2-r41hc72bb7e_1.tar.bz2”h+Œ 241a9e12fc9a59b98e213b28c85217d1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-uroot-2.1_2-r41hc72bb7e_1.tar.bz2”h0Œ@37a1e0b2650f298c115228827d4382d12907546f6b7e988ad30ba18796eca913”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑÌ¡ËhEJñ~ hFˆubh)”}”(hŒr-circstats”h#Œ0.2_6”h%Œr35_1001”h'Méhhh(h)hŒ"r-circstats-0.2_6-r35_1001.tar.bz2”h+Œ 955b7baac715cda55c9a479c26f1a18d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-circstats-0.2_6-r35_1001.tar.bz2”h0Œ@cb49181085fea2fa18b49feb99d85982ea343d8560a081132f5e99a17f594050”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L(÷N§ðhEJÁ hFˆubh)”}”(hŒcalamari_ocr”h#Œ0.1.8”h%Œpy_0”h'K hhh(h)hŒcalamari_ocr-0.1.8-py_0.tar.bz2”h+Œ 8f0a887e0811b12f496b067cf9ffa637”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/calamari_ocr-0.1.8-py_0.tar.bz2”h0Œ@81e80aa9933f3403f05b878d3473e0d0b53b320a52b55b2dbae1b8dd943c002c”h2NhNh3(Œedit_distance”Œnumpy”Œpython”Œpython-bidi”Œscikit-image”Œ
tensorflow”Œtqdm”t”h9h?h@ŒGPL-3.0”hBŒGPL3”hDGAÖÚ5’‰G®hEJ"  hFˆubh)”}”(hŒlibxrender-cos7-ppc64le”h#Œ0.9.10”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libxrender-cos7-ppc64le-0.9.10-h9d98e8f_104.tar.bz2”h+Œ f346013c79032456c3c9a05091ddb641”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxrender-cos7-ppc64le-0.9.10-h9d98e8f_104.tar.bz2”h0Œ@09af830b690e270f84c00a45a613e3374b53fc0cb7cc25f984f758fc576b75bf”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{ÎW®hEMdhFˆubh)”}”(hŒrequests-oauthlib”h#Œ1.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ,requests-oauthlib-1.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ cc8f11613a8a77bc3cddecc50c890818”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-1.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@d1e6f26335967dca15065c9ae39c7ab33b791d5417e29de42ec33b763709ece3”h2NhNh3Œoauthlib >=2.1.0,<3.0.0”Œpython”Œrequests >=2.0.0”‡”h9h?h@ŒISC”hBŒBSD”hDGA×ÆIg¾whEM0NhFˆubh)”}”(hŒshared-memory-dict-all”h#Œ0.7.2”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ/shared-memory-dict-all-0.7.2-hd8ed1ab_0.tar.bz2”h+Œ b9f1ba269e2e1892052c486bb989fa0f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/shared-memory-dict-all-0.7.2-hd8ed1ab_0.tar.bz2”h0Œ@a5b87fc3965388eb2f48f21006badc8805571e8c668db6fe585c5840dfc05da0”h2NhNh3Œ,shared-memory-dict-aiocache 0.7.2 hd8ed1ab_0”Œ*shared-memory-dict-django 0.7.2 hd8ed1ab_0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÂ¿K~úhEMíhFˆubh)”}”(hŒr-svdialogs”h#Œ1.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-svdialogs-1.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 1ae7e2ac9f26821da207f207da1c7311”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-svdialogs-1.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@7d862af58ec20c751dd34985946d6a28bb357d66f656a8ea0296987a9b348f0d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rstudioapi >=0.7”Œr-svgui >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØž‰w|îhEJ¤^ hFˆubh)”}”(hŒ	r-tfisher”h#Œ0.2.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-tfisher-0.2.0-r36h6115d3f_1.tar.bz2”h+Œ 6b77f6f9822d161bdef25950f5195494”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tfisher-0.2.0-r36h6115d3f_1.tar.bz2”h0Œ@c31cd6799611087a3498c0737980ed3263e522e0ae37293b8884a6bd47545f56”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-matrix”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬3é¸RhEJ–t hFˆubh)”}”(hŒ	r-debugme”h#Œ1.1.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ(r-debugme-1.1.0-r35h6115d3f_1002.tar.bz2”h+Œ 93aec722a73bc1bd1d16c790d3d5948d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-debugme-1.1.0-r35h6115d3f_1002.tar.bz2”h0Œ@b65da20b80ac4eaeff51d1b1d1bd5dff9ceac3dc6fbe2ad42aafeea942e17e53”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-crayon”†”h9hºh@ŒMIT”hBŒMIT”hDGA×K­Hó¶hEJ3¸ hFˆubh)”}”(hŒmultigifview”h#Œ0.2.7”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'multigifview-0.2.7-pyhd8ed1ab_1.tar.bz2”h+Œ 1c1447f8fe782e7e29642a2e2142b677”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/multigifview-0.2.7-pyhd8ed1ab_1.tar.bz2”h0Œ@a8ad8edb2b2ab25422fabe7dcf2a603d464fd2f4aa6a831ba9fb0bc8b08c9b83”h2NhNh3Œpyqt >=5.12”Œpython >=3.8”Œqt.py >=1.2”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØØÝ‡+hEMljhFˆubh)”}”(hŒlibxrender-devel-cos7-aarch64”h#Œ0.9.10”h%Œ
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hc42de5b_0”h'K hhh(h)hŒ1rb-jekyll-relative-links-0.6.0-hc42de5b_0.tar.bz2”h+Œ 9e84870450859863bd3cad5837974ad3”h.Œ_https://conda.anaconda.org/conda-forge/noarch/rb-jekyll-relative-links-0.6.0-hc42de5b_0.tar.bz2”h0Œ@504d33fbd1c4cbbe0761b9d94dbd4b2d7124f4d49d683e626f6d964d66a7e9d1”h2NhNh3Œrb-jekyll >=3.3,<4”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Z—¨bNhEMº'hFˆubh)”}”(hŒr-pwr”h#Œ1.3_0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ!r-pwr-1.3_0-r40hc72bb7e_1.tar.bz2”h+Œ e01ff03b3b0def373636a865706eee47”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pwr-1.3_0-r40hc72bb7e_1.tar.bz2”h0Œ@775be89a552846206c60897e471929438471c9289885b80f3a9c26241bf3e4a5”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ*ÿ(*¬hEJ~± hFˆubh)”}”(hŒcups-libs-cos7-ppc64le”h#Œ1.6.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ2cups-libs-cos7-ppc64le-1.6.3-ha826a6f_1103.tar.bz2”h+Œ d7b8bbac153489771117cbd514ab3c6a”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-libs-cos7-ppc64le-1.6.3-ha826a6f_1103.tar.bz2”h0Œ@266ec79a84331eab156c8b0e420b69a11b799deee725e0a272325d35a7aa59c5”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2 and zlib”hBŒLGPL”hDGA×Æ{y)™šhEJØè hFˆubh)”}”(hŒpymedphys_electronfactors”h#Œ0.11.0”h%Œpy_1”h'Khhh(h)hŒ-pymedphys_electronfactors-0.11.0-py_1.tar.bz2”h+Œ ed60e2972b8d965e1bc0cbbbfa44d3bc”h.Œ[https://conda.anaconda.org/conda-forge/noarch/pymedphys_electronfactors-0.11.0-py_1.tar.bz2”h0Œ@d742c9787fc6c4080853bca056df458cec50cde312e1489f95d89469918e9d2f”h2NhNh3(Œmatplotlib-base”Œnumpy >=1.12”Œpython >=3.7”Œscipy”Œshapely”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×¯üñûçmhEM1lhFˆubh)”}”(hŒsphinx-autobuild”h#Œ	2021.3.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/sphinx-autobuild-2021.3.14-pyhd8ed1ab_0.tar.bz2”h+Œ 1909f784dc37b4ab97afe2c95aeeabaa”h.Œ]https://conda.anaconda.org/conda-forge/noarch/sphinx-autobuild-2021.3.14-pyhd8ed1ab_0.tar.bz2”h0Œ@1c07ab809254c2454c5417c5be01af2dc8bcaae2f3315a0a9d8812997ede8297”h2NhNh3Œlivereload >=2.3.0”Œpython >=3.6”Œsphinx”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ‘PbNhEMC2hFˆubh)”}”(hŒpixman-devel-cos7-ppc64le”h#Œ0.34.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ6pixman-devel-cos7-ppc64le-0.34.0-ha826a6f_1103.tar.bz2”h+Œ f3bbb3da3397ef02dffd1dce95831ead”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pixman-devel-cos7-ppc64le-0.34.0-ha826a6f_1103.tar.bz2”h0Œ@eabb8f63ec440cd30f61c2adc9cdf62b70a176029f52125813bb3e3b7a85c76c”h2NhNh3Œ#pixman-cos7-ppc64le ==0.34.0 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2;ƒ…hEMØ6hFˆubh)”}”(hŒr-aqp”h#Œ1.42”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ r-aqp-1.42-r41hc72bb7e_1.tar.bz2”h+Œ 46566ada98393ab5233e326b089d0d57”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-aqp-1.42-r41hc72bb7e_1.tar.bz2”h0Œ@885ff4cad9cc1674708b4a0e50db88e60746fb6d51230d902c58d319e0145e29”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-data.table”Œ	r-lattice”Œr-plyr”Œr-sp”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑÄÇÖ{hEJ#/2 hFˆubh)”}”(hŒ	urlobject”h#Œ2.4.3”h%Œpy_1”h'Khhh(h)hŒurlobject-2.4.3-py_1.tar.bz2”h+Œ 91140cccf570095e69d84b58075bc9b2”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/urlobject-2.4.3-py_1.tar.bz2”h0Œ@21354dad71b83bf6d0224f962565018c055f2d7f60205851491b9ff8f1d04936”h2NhNh3Œpython”…”h9h?h@ŒPUBLIC-DOMAIN”hDGAÖÞA÷’^5hEM:hFˆubh)”}”(hŒ	compiledb”h#Œ0.10.1”h%Œpy_0”h'K hhh(h)hŒcompiledb-0.10.1-py_0.tar.bz2”h+Œ a2d55a9b1dfda3667b4a3d7a108620bc”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/compiledb-0.10.1-py_0.tar.bz2”h0Œ@f7ecbfd8b0b9af09ec074b65dcca5a4efa446db572ae289d667f1569ed0e12a5”h2NhNh3(Œbashlex”Œclick”Œpython >=3.6”Œshutilwhich”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×¶&7sdZhEM³qhFˆubh)”}”(hŒdogpile.cache”h#Œ1.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(dogpile.cache-1.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 663ea5a16d6b2d86aebf27b8e9dc5d68”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/dogpile.cache-1.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d501d3df9a8a59ed93e270e1e9254dac5e08aa75412edef816a63077cd6688ab”h2NhNh3Œdecorator >=4.0.0”Œpython >=3.6”Œstevedore >=3.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØz %/hEM¹¥hFˆubh)”}”(hŒr-spls”h#Œ2.2_3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-spls-2.2_3-r36h6115d3f_1.tar.bz2”h+Œ cbfd9c0d13f3c93eeec722fe0880643d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spls-2.2_3-r36h6115d3f_1.tar.bz2”h0Œ@1a8ec8b153bc4e499e34a8e13712676d50401002eb3b2874caa04071b17a69b3”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-nnet”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L¡Õol‹hEJ¨¶& hFˆubh)”}”(hŒr-freesurferformats”h#Œ0.1.17”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ0r-freesurferformats-0.1.17-r42hc72bb7e_0.tar.bz2”h+Œ f0229fa4ce2bf8eb2abf55dd5befba06”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-freesurferformats-0.1.17-r42hc72bb7e_0.tar.bz2”h0Œ@4e93e03319b73a79387c3c433ac2bd150e9f61531f0a79dab8367db2a31a4a0a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-pkgfilecache >=0.1.1”Œr-rmarkdown”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØØKë…hEJSÿ= hFˆubh)”}”(hŒsmi-analysis”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'smi-analysis-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ ea275bb135f280221d3dcd98e618effd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/smi-analysis-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d8f86082d2f9d28a2ced1f781d115e1094d52cd5e2cdcbfaa5e14f85fbb2a853”h2NhNh3(Œh5py”Œnumpy”Œpyfai”Œpygix >=2022.11.14”Œpython >=3.7”Œscipy”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÜ´]>‡+hEM¿ihFˆubh)”}”(hŒr-logger”h#Œ0.2.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-logger-0.2.2-r40hc72bb7e_0.tar.bz2”h+Œ 78ca00d2281a7d2248e716f5e10542e3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-logger-0.2.2-r40hc72bb7e_0.tar.bz2”h0Œ@cee5b2ce5a94a100f0a61c5d7a56174169f1dcf2e9b56e8946554007e0b9e116”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØ[œ_ã33hEJ)m hFˆubh)”}”(hŒpython-ternary”h#Œ1.0.8”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)python-ternary-1.0.8-pyhd8ed1ab_1.tar.bz2”h+Œ 99d25b913f098581ded288350d491bce”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python-ternary-1.0.8-pyhd8ed1ab_1.tar.bz2”h0Œ@892f05f31883e3d39cbca867036c7b1eb515fd0b9fd5bd7ca2ce99102d1a45fc”h2NhNh3Œmatplotlib-base >=2”Œ
python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØf´8å`hEMKhFˆubh)”}”(hŒr-ggstar”h#Œ1.0.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ggstar-1.0.4-r41hc72bb7e_0.tar.bz2”h+Œ 6b8b72ea437895c09fc67450b168c360”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggstar-1.0.4-r41hc72bb7e_0.tar.bz2”h0Œ@be1c63632653cee533a35c428d9669fe4e5adf77c50cbbc07a0cb64ac8d0d37f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-scales”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÚ˜…Õ?}hEJ. hFˆubh)”}”(hŒsysroot-cos7-aarch64”h#Œ2.17”h%Œh5b4a56d_13”h'Khhh(h)hŒ-sysroot-cos7-aarch64-2.17-h5b4a56d_13.tar.bz2”h+Œ bcb28204ccaeaa93a01aea974fb4c484”h.Œ[https://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-aarch64-2.17-h5b4a56d_13.tar.bz2”h0Œ@dc551a5d43f9d5fc483102c904525fe42a2d129c1af912028fc9aa419c828ca4”h2NhNh3Œsysroot_linux-aarch64 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ_2œjhEMp9hFˆubh)”}”(hŒr-ramcharts”h#Œ2.1.15”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-ramcharts-2.1.15-r42hc72bb7e_1.tar.bz2”h+Œ b2c398d315c126954bdc3a6767648854”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ramcharts-2.1.15-r42hc72bb7e_1.tar.bz2”h0Œ@45452af9a74980f8ed3bd2bfa6bfcc2beeeb6b1ad0319575ff1eedcd8902cf6e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.9.6”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-piper”Œr-yaml”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ/ˆÜÌÍhEJô'= hFˆubh)”}”(hŒzdesk”h#Œ2.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ zdesk-2.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8e8910882187a27de4da08bacacd1977”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/zdesk-2.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1aecdb52fc7867a4557863f1b63b4e61ddbd42afe197ee5d6a7e0fb74944a309”h2NhNh3Œpython >=3.0”Œrequests”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÄqÜNÙhEMËnhFˆubh)”}”(hŒr-ic10trainingdata”h#Œ1.3.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ1r-ic10trainingdata-1.3.1-r36h6115d3f_1001.tar.bz2”h+Œ 1ef811d7c6c4240753c16a97484a2a0a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-ic10trainingdata-1.3.1-r36h6115d3f_1001.tar.bz2”h0Œ@8e8bff2f041a2b9049c5e8ef4b3e09558e69491a9f9a2a68e92515bfe87c7f70”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M ùÚ\hEJN¦a hFˆubh)”}”(hŒpythonds”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pythonds-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5488b1c8dace9cba57a1e306165ff78e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pythonds-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6bd18b092fac66e757cd6d526f13b08fefe6240fbde6ccc307070ed1f75b7615”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ6‰%úñªhEM›khFˆubh)”}”(hŒr-rchoicedialogs”h#Œ1.0.6.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ.r-rchoicedialogs-1.0.6.1-r41hc72bb7e_1.tar.bz2”h+Œ 0e87fb832d26533549eca4746c76748c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rchoicedialogs-1.0.6.1-r41hc72bb7e_1.tar.bz2”h0Œ@8817dc94385870d0b6ff9ee3052679e6af16521e9bbefc1976a94be1cb6fef94”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”†”h9hºh@ŒLGPL (>= 2.1)”hBŒLGPL”hDGAØÒ'ò±‡hEJIC hFˆubh)”}”(hŒopenscienceplot_matplotlib”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ5openscienceplot_matplotlib-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 896218b7201d85bb03f897624fc3d832”h.Œchttps://conda.anaconda.org/conda-forge/noarch/openscienceplot_matplotlib-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@7f4a09f784796a6d839f6b57dfe23235e03f643e6a398606bc4ec85a9046ceec”h2NhNh3(Œh5py”Œmatplotlib-base”Œnumpy”Œ
python >=3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ9 ™šhEMbhFˆubh)”}”(hŒr-quandl”h#Œ2.11.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-quandl-2.11.0-r42hc72bb7e_1.tar.bz2”h+Œ 708a218798512d3e25b3feb2a1faf3fe”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-quandl-2.11.0-r42hc72bb7e_1.tar.bz2”h0Œ@ebd3e35d673ff21c13b6dbc281ab3d14a2f382d03933bfff05188bb431c21e1f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr >=0.6.1”Œr-jsonlite >=0.9.14”Œr-xts”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑi¶|ZhEJ4 hFˆubh)”}”(hŒr-assertive.strings”h#Œ0.0_3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ2r-assertive.strings-0.0_3-r36h6115d3f_1002.tar.bz2”h+Œ 850290c747a1f7af349b9baf92707640”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.strings-0.0_3-r36h6115d3f_1002.tar.bz2”h0Œ@7cb2ad63be69e49aa831e658a4a8b9253ea8e92a1f2ed08d90a01f8d1a03a83c”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=3.6,<3.7.0a0”Œ	r-stringi”t”h9hºh@Œ
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r-hypergeo”Œr-matrix”Œr-optimx”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØepÝ§l‹hEJ¶ù hFˆubh)”}”(hŒlibxxf86vm-cos6-x86_64”h#Œ1.1.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ2libxxf86vm-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h+Œ 88e3adcebf1975980deb67d68001e73d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos6-x86_64-1.1.3-hdf0574f_1102.tar.bz2”h0Œ@9a752d7e1b5001a81547b1e49ae32efcbfaa6bc32cc90ec476e59743dacffeaa”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å,@êáHhEM×1hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_9”h'K	hhh(h)hŒ fenics-ffc-2019.1.0-py_9.tar.bz2”h+Œ 7cde40c3c9cc4bf931fa6a4fdef3f00f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_9.tar.bz2”h0Œ@2fa2f1bd3aca091a150b194e164af216abe269d7a7f57c18192450d623885558”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×“ñ½…‘hhEJß hFˆubh)”}”(hŒr-patpro”h#Œ1.1.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ'r-patpro-1.1.0-r36h6115d3f_1002.tar.bz2”h+Œ d3e0e8b1fb4b49eb3dad7a8546493ad4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-patpro-1.1.0-r36h6115d3f_1002.tar.bz2”h0Œ@4c575558b3b85b13e3704a9c60539a94f5a3271fc3a36f7104d6355b666db559”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÉâÂhEJ2÷ hFˆubh)”}”(hŒmesa-dri1-drivers-cos6-x86_64”h#Œ7.11”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7mesa-dri1-drivers-cos6-x86_64-7.11-h9b0a68f_105.tar.bz2”h+Œ 719a0e50956b2f9fa3052f1ef134caa1”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-dri1-drivers-cos6-x86_64-7.11-h9b0a68f_105.tar.bz2”h0Œ@2ceecf2b8824df4d819758d90b24101fcf100e6ebfc45f976df8b02bf7083741”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@WDÌÍhEJ?îD hFˆubh)”}”(hŒalbumentations”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)albumentations-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ c33f42cf19b66c2fe7a735eb1bf5837c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/albumentations-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@895d64fc1ba8b46e4a3272f0f7b9b30dd9af948a15b7929eac9859ff514aac4f”h2NhNh3(Œnumpy >=1.11.1”Œopencv >=4.1.1”Œpython >=3.6”Œpyyaml”Œqudida >=0.0.4”Œscikit-image >=0.16.1”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ°¿®“uhEJqM hFˆubh)”}”(hŒ
r-leafsync”h#Œ0.1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-leafsync-0.1.0-r35h6115d3f_0.tar.bz2”h+Œ e48fa69877a94712cde86b8cacc76c80”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-leafsync-0.1.0-r35h6115d3f_0.tar.bz2”h0Œ@d1d53eae272703ee0d4c3a0b1eeebbdcaac641f4b4754c73c73388acad8778cf”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-htmltools >=0.3”Œr-htmlwidgets”Œr-leaflet >=2.0.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×a>UVhEJ hFˆubh)”}”(hŒtweak”h#Œ1.0.3”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ tweak-1.0.3-pyhd8ed1ab_3.tar.bz2”h+Œ d2b02a47a54185b3a3028261eed4a262”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tweak-1.0.3-pyhd8ed1ab_3.tar.bz2”h0Œ@f51ccde555ac942d4ba809a97f78dad3213e349578695ce4dd4b8c68ffb8e384”h2NhNh3Œpython <3.10”…”h9h?h@Œ
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r-editdata”Œ	r-foreign”Œr-miniui”Œ
r-r.matlab”Œr-readxl”Œr-rstudioapi”Œ
r-searcher”Œr-semnetdictionaries >=0.1.8”Œr-shiny”Œr-stringdist”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØPáÉº^hEJ²ü hFˆubh)”}”(hŒr-colorramps”h#Œ2.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-colorramps-2.3.1-r40hc72bb7e_0.tar.bz2”h+Œ bf863f181fa006eb29ebaced8f928ca7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-colorramps-2.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@71f646cfb79174c368ec850bd0711df36a117860632cb7ffe42d0aac5e188b9e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØœ‡r2-hEM3³hFˆubh)”}”(hŒcaniusepython3”h#Œ7.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)caniusepython3-7.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 083928776a47e5f30ea35c9a42490e8e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/caniusepython3-7.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e3c188998d5d24ff3cd15262b024cde6206c222572b767022706e1f05b7e9e9f”h2NhNh3(Œdistlib”Œ	packaging”Œpython >=3.6”Œrequests”Œ
setuptools”t”h9h?h@Œ
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joommfutil”h#Œ0.8.4”h%Œpy_1”h'Khhh(h)hŒjoommfutil-0.8.4-py_1.tar.bz2”h+Œ 3132986469317825701ddd62ce6fabe1”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/joommfutil-0.8.4-py_1.tar.bz2”h0Œ@aed8e54487bb9b4848910d1213e669c19baa1afc4dd9c400e51d498d2f346f04”h2NhNh3Œnumpy”Œpytest”Œpython >=3.6”‡”h9h?h@ŒBSD 3-clause”hDGA×¿¤½VhEM˜0hFˆubh)”}”(hŒvcstool”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"vcstool-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ df3532b78514a3bf74707b3ba646a866”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/vcstool-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ec3085cf6f19a8b396106bb818f58dcc007db641b30651de803c2085d2304d02”h2NhNh3Œpython >=3.6”Œpyyaml”Œ
setuptools”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØD:Í™7LhEMq‚hFˆubh)”}”(hŒmesa-libegl-cos7-x86_64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4mesa-libegl-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 29132eb5610dc4dad4ed9cf7e8c31a2c”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@ba3158da9d8332cd73ef0b5d0d75b0ffd44c0faf793c938f26f063c1f625da8c”h2NhNh3Œ'mesa-libgbm-cos7-x86_64 ==18.3.4 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+µ½¡ËhEJ³ hFˆubh)”}”(hŒsphinxcontrib-spelling”h#Œ4.3.0”h%Œpy_0”h'K hhh(h)hŒ)sphinxcontrib-spelling-4.3.0-py_0.tar.bz2”h+Œ 4d07af45dbfeadfb1f890283b2f13453”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-spelling-4.3.0-py_0.tar.bz2”h0Œ@f42a8bca7367bb87dd9148727439e549c50b3053b633e399e4848763bc6cded6”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Fgª=¸hEM?0hFˆubh)”}”(hŒr-rorcid”h#Œ0.7.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-rorcid-0.7.0-r41hc72bb7e_0.tar.bz2”h+Œ f667c9ee75c5e2327badb4d1c287b593”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rorcid-0.7.0-r41hc72bb7e_0.tar.bz2”h0Œ@7fe7dbeff41061377959ed7ce447ab652d90597944dc012c3aa41d89afea9d8c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.7.4”Œr-data.table”Œr-fauxpas >=0.2.0”Œr-httr”Œr-jsonlite >=1.6”Œr-tibble >=2.1.3”Œr-xml2 >=1.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÙ­Þ±G®hEJài hFˆubh)”}”(hŒat-spi-cos6-x86_64”h#Œ1.28.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.at-spi-cos6-x86_64-1.28.1-h9b0a68f_105.tar.bz2”h+Œ 51ef2ed29d4f1f2718e4d85479d9eadb”h.Œ\https://conda.anaconda.org/conda-forge/noarch/at-spi-cos6-x86_64-1.28.1-h9b0a68f_105.tar.bz2”h0Œ@f41fb23548d54a45cc4640e4823fce84350d5716bfd739f2b7925aed08df8ba9”h2NhNh3(Œatk-cos6-x86_64 >=1.13.0 *_105”Œgtk2-cos6-x86_64 >=2.10.0 *_105”Œ#libbonobo-cos6-x86_64 >=2.4.0 *_105”Œ orbit2-cos6-x86_64 >=2.6.0 *_105”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@\ÏX  hEJ?º hFˆubh)”}”(hŒr-ssanv”h#Œ1.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ$r-ssanv-1.1-r41hc72bb7e_1002.tar.bz2”h+Œ 4c8251c7d3a80f0012f353d1c7f1fbf4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ssanv-1.1-r41hc72bb7e_1002.tar.bz2”h0Œ@0f634bef2d2209ecc61e964db860bbcf585260ccdc342bcc734490aa070584ba”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*í1?®hEJˆC hFˆubh)”}”(hŒharfbuzz-cos7-aarch64”h#Œ1.7.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1harfbuzz-cos7-aarch64-1.7.5-h9b0a68f_1105.tar.bz2”h+Œ 12ea3e88fb448fd0236ca3536417ac1e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-aarch64-1.7.5-h9b0a68f_1105.tar.bz2”h0Œ@4a269de4f983a9ab5fdbf42a1b3606dc1a6c0bf3684d82b0076ccf8cefab7f4f”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‰²ˆA‰hEJ%Ù hFˆubh)”}”(hŒr-obistools”h#Œ0.0.10”h%Œr41hd8ed1ab_0”h'K hhh(h)hŒ(r-obistools-0.0.10-r41hd8ed1ab_0.tar.bz2”h+Œ 5f39969b0a9a17047cce4f1aa0a58943”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-obistools-0.0.10-r41hd8ed1ab_0.tar.bz2”h0Œ@164b5aff35897bd783b0288dad17b7289ddfc35ffdb020367dea91929d38b5ef”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-data.tree”Œr-digest”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ	r-leaflet”Œr-maps”Œ
r-rappdirs”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-rmarkdown”Œr-sf”Œr-sp”Œ	r-stringr”Œr-tidyr”Œr-worrms”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,"ÑãThEJÄ	 hFˆubh)”}”(hŒr-fail”h#Œ1.3”h%Œr36_1001”h'Méhhh(h)hŒr-fail-1.3-r36_1001.tar.bz2”h+Œ 5bf098372ea41332703fb63616c81717”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-fail-1.3-r36_1001.tar.bz2”h0Œ@94ab45e7f376c08b6d96d168714ba31c78d9c0346996cf746fcaab306920747f”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-bbmisc”Œr-checkmate”‡”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×L€UNùÛhEM(ÊhFˆubh)”}”(hŒ
rb-rainbow”h#Œ3.0.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ#rb-rainbow-3.0.0-hc42de5b_0.tar.bz2”h+Œ f4679b0dabef1d96765fb024a1a81b01”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rb-rainbow-3.0.0-hc42de5b_0.tar.bz2”h0Œ@0986b27b6a60d49bc300443998f3289f137c9ad42bea2b5691fe60a9fa899347”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×[	ëµhEM>’hFˆubh)”}”(hŒr-tidymultiqc”h#Œ1.0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-tidymultiqc-1.0.3-r40hc72bb7e_0.tar.bz2”h+Œ 78976d2056c2e83fed56d087a7b6788b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tidymultiqc-1.0.3-r40hc72bb7e_0.tar.bz2”h0Œ@161f56fe8b4b4dd5442a8f1dfa942ccea704014f356f3bf237836a961421ab8e”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-histdat >=0.2.0”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÌ ÉùÛhEJû° hFˆubh)”}”(hŒpyexcel-webio”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒ pyexcel-webio-0.1.4-py_0.tar.bz2”h+Œ 7eb3e593af4ca66cf274e2efe64a1e1e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pyexcel-webio-0.1.4-py_0.tar.bz2”h0Œ@4765ef727c5bf8e8ff0cbb170bea8f3ac7eb7a84b32e0c5f804bd06a43c9e6bb”h2NhNh3Œpyexcel >=0.5.5”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEM?)hFˆubh)”}”(hŒr-lcars”h#Œ0.3.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-lcars-0.3.7-r40hc72bb7e_0.tar.bz2”h+Œ 99805afb869be111ddb812231414d3b6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lcars-0.3.7-r40hc72bb7e_0.tar.bz2”h0Œ@cd913e7f38e161d2cf8b55be322283aec9e5f30af19fa04f7462053011b85ba0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-shiny”Œr-trekcolors”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ-£Që…hEJê	 hFˆubh)”}”(hŒr-powersurvepi”h#Œ0.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-powersurvepi-0.1.3-r42hc72bb7e_1.tar.bz2”h+Œ b061f152cc94170c59ec038dc4d41216”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-powersurvepi-0.1.3-r42hc72bb7e_1.tar.bz2”h0Œ@8a78849a041f68fde9f5703d30b6659c18c1579a1fc05d0320d046d0706441b4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-pracma”Œr-rmarkdown”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ6‘©ühEJ,5 hFˆubh)”}”(hŒr-pairwisecomparisons”h#Œ3.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ1r-pairwisecomparisons-3.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 03f4482dbe93185b102efc4ed5564d31”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-pairwisecomparisons-3.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@f3347f0c76eb8ba69d9bd66f1cd6e6b356dce8fad0c6ba1715f52a107dec126d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-insight >=0.14.5”Œr-parameters >=0.15.0”Œr-pmcmrplus”Œr-purrr”Œr-rlang”Œr-statsexpressions >=1.2.0”Œr-wrs2 >=1.1_3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ[Ä„[¶FhEJŒ­ hFˆubh)”}”(hŒ	r-r.cache”h#Œ0.16.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-r.cache-0.16.0-r41hc72bb7e_0.tar.bz2”h+Œ 88ce3fe0ad1b2e8c650ec7aff0e409d6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-r.cache-0.16.0-r41hc72bb7e_0.tar.bz2”h0Œ@30617b328c7a7fa326d656a10c1289d5fc51ec157343e181c5c796e145645373”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest >=0.6.13”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.23.0”Œr-r.utils >=2.8.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØ¶vâóC–hEJ ï hFˆubh)”}”(hŒcouchdb-python”h#Œ1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'couchdb-python-1.2-pyhd8ed1ab_0.tar.bz2”h+Œ d829ba49d7c85695f30e7a7819f575e0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/couchdb-python-1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@b827b6b63533cfa65596cf25e8ce473670251128198d7fba3486e5a99b016b1c”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ´r®5?}hEMÍÔhFˆubh)”}”(hŒpython_version”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)python_version-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8f818fbf57140941ad412dca840af2dc”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python_version-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e6e484f1515cdde0234d4931e7b28ecb5e04fe16ac6d7d216c8b2a88a7a48520”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ_·bå/hEM›hFˆubh)”}”(hŒr-kaos”h#Œ0.1.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-kaos-0.1.2-r36h6115d3f_1.tar.bz2”h+Œ 672fe2418cec526ffe5522e250c975fe”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-kaos-0.1.2-r36h6115d3f_1.tar.bz2”h0Œ@9c1d704c48fa26b563d8a4a0177a51947b369aaa223ed5b5bbc09ffded79f702”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œ
r-reshape2”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬·ß|îhEMû³hFˆubh)”}”(hŒr-mlgt”h#Œ0.16”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ$r-mlgt-0.16-r41ha770c72_1002.tar.bz2”h+Œ 9c28167fb8107766d51d2897740bd515”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mlgt-0.16-r41ha770c72_1002.tar.bz2”h0Œ@88f5e1fe0758b4c7fd5b5f43f414c95d45473d4c56d7444187f1abb265ad1191”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-seqinr”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+iÁ²-hEJ”	 hFˆubh)”}”(hŒr-nada”h#Œ1.6_1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-nada-1.6_1.1-r41hc72bb7e_2.tar.bz2”h+Œ b4c9b4b9e65b17bca22b63378aff064e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nada-1.6_1.1-r41hc72bb7e_2.tar.bz2”h0Œ@1930b64cbc9667bc028f5823489782595eaa88b01d414b991c786524b45d247e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-survival”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑyD1hEJ‰i hFˆubh)”}”(hŒlibxrandr-cos7-ppc64le”h#Œ1.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libxrandr-cos7-ppc64le-1.5.1-h9b0a68f_1105.tar.bz2”h+Œ 47f7fb97b1443acc77605be0c9188ae7”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-ppc64le-1.5.1-h9b0a68f_1105.tar.bz2”h0Œ@2c5d01940c95a9eccd30bf2b91c05a74d51665347ea5523c4896eff16e1d4cf9”h2NhNh3Œ"libx11-cos7-ppc64le >=1.6.0 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Q™šhEMÚdhFˆubh)”}”(hŒr-assertive.files”h#Œ0.0_2”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ0r-assertive.files-0.0_2-r40h6115d3f_1003.tar.bz2”h+Œ ab597b2e41ab8b86dad29340313fb2e9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.files-0.0_2-r40h6115d3f_1003.tar.bz2”h0Œ@be2b1039fb0f38ea74405030d2d8fb566eada7dc9363109b2ba31c87e44b71f6”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.numbers”Œr-base >=4.0,<4.1.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«å„hEJôM hFˆubh)”}”(hŒbindsnet”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#bindsnet-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ d8d2fbb6d6d0f1bb15854b18519a9c87”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/bindsnet-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b541325575e66566791f4986c030fe62944f4d4285fed6bef2b6546148c5465d”h2NhNh3(Œcython”Œfoolbox”Œgym >=0.10.4”Œmatplotlib-base”Œnumpy”Œopencv”Œpandas”Œpython >=3.7.10,<3.10”Œpytorch”Œscikit-image”Œscikit-learn”Œscipy”Œtensorboardx”Œtorchvision”Œtqdm”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØ±Z•OïžhEJê… hFˆubh)”}”(hŒ	r-rccmisc”h#Œ0.3.7”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ(r-rccmisc-0.3.7-r40hc72bb7e_1002.tar.bz2”h+Œ 805b0d0e192e86949a8888ae29cd1a12”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rccmisc-0.3.7-r40hc72bb7e_1002.tar.bz2”h0Œ@053de0b763ecdb9abb79d625471aa9f93607698e722732a2c283f1597ec58961”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-dplyr”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+”Ï\)hEJö\ hFˆubh)”}”(hŒr-mglm”h#Œ0.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-mglm-0.2.1-r40hc72bb7e_0.tar.bz2”h+Œ c7bfbc274414efc2e4a92ce931db4f2b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mglm-0.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@b43e84d5b7f6fbbc9e9eec902752be465d3cfdbfc53628e051a3a2f6b7039d06”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ•åŒè  hEJaY hFˆubh)”}”(hŒfeedstockrot”h#Œ1.1.0”h%Œpyhd8ed1ab_1003”h'Mëhhh(h)hŒ*feedstockrot-1.1.0-pyhd8ed1ab_1003.tar.bz2”h+Œ d610c4c8ca7a87c98567a2dbf1c767c5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/feedstockrot-1.1.0-pyhd8ed1ab_1003.tar.bz2”h0Œ@564b6fa810a1b7a218b6af4734e6a86934a97703924dfbd0c907e0cad9c66a38”h2NhNh3(Œjinja2”Œ	packaging”Œpygithub”Œpython >=3.6”Œpyyaml”Œrequests”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØdü…íó¶hEM=hFˆubh)”}”(hŒr-cmdfun”h#Œ1.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-cmdfun-1.0.2-r41hc72bb7e_1.tar.bz2”h+Œ eb3a9d041be06fc972b4013b2a5001d1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cmdfun-1.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@72ce6d421ed636876af8780fb947fc6240a7c9c871f9f79c9da48aa1a3ea9ceb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œr-purrr”Œ	r-r.utils”Œr-rlang”Œ
r-testthat”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ”&§ðhEJª{ hFˆubh)”}”(hŒlibsepol-cos6-x86_64”h#Œ2.0.41”h%Œh1795305_101”h'Kehhh(h)hŒ0libsepol-cos6-x86_64-2.0.41-h1795305_101.tar.bz2”h+Œ d6700811c05bdfe2e9463067e1325570”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsepol-cos6-x86_64-2.0.41-h1795305_101.tar.bz2”h0Œ@99a7a01b13d0a67d320e001e7c7325ddb05da5275f6900f8e5627b8ab5278cc7”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å%àý?}hEJðÄ hFˆubh)”}”(hŒr-r.rsp”h#Œ0.45.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-r.rsp-0.45.0-r40hc72bb7e_0.tar.bz2”h+Œ 6984f93456d758673a6044f182a0d566”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r.rsp-0.45.0-r40hc72bb7e_0.tar.bz2”h0Œ@26e805afa7283ecbb5bcabec89a9983b7187471d710efca076b415b855a14adb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest >=0.6.13”Œ	r-r.cache”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.23.0”Œ	r-r.utils”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØ®;×
hEJ¡ hFˆubh)”}”(hŒkernel-headers_linux-aarch64”h#Œ4.18.0”h%Œ
hca5cc2b_8”h'Khhh(h)hŒ6kernel-headers_linux-aarch64-4.18.0-hca5cc2b_8.tar.bz2”h+Œ 889fa0ef81345f253ab96b8f5d676f59”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-aarch64-4.18.0-hca5cc2b_8.tar.bz2”h0Œ@bbea6e4e907f9fd776973a866a665df019bff00ff5750523629fd5091a363a6c”h2NhNh3)h6Œsysroot_linux-aarch64 ==2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”•      hBŒGPL”hDGA×Â7µãThEJ×> hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpy_8”h'Khhh(h)hŒ$fenics-dijitso-2019.1.0-py_8.tar.bz2”h+Œ 3d5aa01876f1f373b355ffcdd4c58557”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-py_8.tar.bz2”h0Œ@a708870312e21ff01417885ce160025010f1c352088831c40b4ebfc35f6ee1d5”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×zH[:°!hEMÕ¤hFˆubh)”}”(hŒr-assertive.data.us”h#Œ0.0_2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ/r-assertive.data.us-0.0_2-r41hc72bb7e_2.tar.bz2”h+Œ 733b9c9d3bc680aefd8d95f93e0d737a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.us-0.0_2-r41hc72bb7e_2.tar.bz2”h0Œ@99f5abe2a9252f7a0fd11b193d51dce122487b30a08fe0f8147d84bd34f87112”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.1,<4.2.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+•ãThEMªhFˆubh)”}”(hŒwebkitgtk-cos6-x86_64”h#Œ1.4.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ0webkitgtk-cos6-x86_64-1.4.3-hdf0574f_102.tar.bz2”h+Œ 9c8a613c7b031385e5cf8462870750d4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/webkitgtk-cos6-x86_64-1.4.3-hdf0574f_102.tar.bz2”h0Œ@5713bfdd6238325988ef63e0a9f79766b0d082ca44968488c158341b4fca6ec9”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGA×Åá}½¸hEJÓ˜s hFˆubh)”}”(hŒr-simpleboot”h#Œ1.1_7”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ(r-simpleboot-1.1_7-r42hc72bb7e_3.tar.bz2”h+Œ 036a7049de0b3ab6c632d842fc602c8d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-simpleboot-1.1_7-r42hc72bb7e_3.tar.bz2”h0Œ@0b5975a28ea1d053c6aa8b320b939ae570a4cdcd1a38c0225b5ce84544e6314d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-boot”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒX¦5?hEJéA hFˆubh)”}”(hŒr-assertive.data.uk”h#Œ0.0_2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ/r-assertive.data.uk-0.0_2-r42hc72bb7e_3.tar.bz2”h+Œ 4dc4ca813a8d0af75770b054bd6d26cf”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.uk-0.0_2-r42hc72bb7e_3.tar.bz2”h0Œ@5a853d771a188e147e66f9715e32e2e4d30185c984aa4e609cbe9de1892776e0”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.2,<4.3.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ?OÞ5?hEMùÙhFˆubh)”}”(hŒr-superlearner”h#Œ2.0_28”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-superlearner-2.0_28-r40hc72bb7e_0.tar.bz2”h+Œ dfa0a60d05f063614efb12e568504f8b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-superlearner-2.0_28-r40hc72bb7e_0.tar.bz2”h0Œ@7ae4c8b17d6169d136717ec6275c4f741d627d29ddd767bb8746743ea4fb4b00”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-cvauc”Œr-gam >=1.15”Œr-nnls”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ&@j$jhEJ}	 hFˆubh)”}”(hŒr-broomextra”h#Œ4.3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-broomextra-4.3.2-r42hc72bb7e_1.tar.bz2”h+Œ 043243b3dad5a9379491b261f4055165”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-broomextra-4.3.2-r42hc72bb7e_1.tar.bz2”h0Œ@73fb8682a04608fa8018df0244ef9c346fd0de399662a25f42af8fd74f3693d6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-broom.mixed”Œr-dplyr”Œr-ipmisc”Œr-parameters”Œr-performance”Œr-rlang”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ›Œ/\)hEJgx hFˆubh)”}”(hŒfribidi-cos7-x86_64”h#Œ1.0.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ/fribidi-cos7-x86_64-1.0.2-ha826a6f_1103.tar.bz2”h+Œ fbb8baa9d65fb67293d7fbd035761e8a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-x86_64-1.0.2-ha826a6f_1103.tar.bz2”h0Œ@6d21fcbc3c0d0779188f24dcc235b9379b0af4f8bf75bab9a994351873e3989c”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGA×Æ/×nùÛhEJÎ1 hFˆubh)”}”(hŒ
r-sombrero”h#Œ1.4_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-sombrero-1.4_1-r41hc72bb7e_0.tar.bz2”h+Œ dedc0a4b3636120632d8c62ae888c7fa”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sombrero-1.4_1-r41hc72bb7e_0.tar.bz2”h0Œ@a13749517193ce17d1a79b47d23a124f04d33377cc4796f971536892f5f3f2d6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-ggwordcloud”Œr-igraph >=1.0”Œr-interp”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØ¢ø)–‡+hEJ
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Apache-2.0”hBŒAPACHE”hDGAØ×CZhEMåºhFˆubh)”}”(hŒca-certificates-cos6-x86_64”h#Œ	2018.2.22”h%Œha826a6f_103”h'Kghhh(h)hŒ:ca-certificates-cos6-x86_64-2018.2.22-ha826a6f_103.tar.bz2”h+Œ 9d4dae539284c572518574a3c3fa3300”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/ca-certificates-cos6-x86_64-2018.2.22-ha826a6f_103.tar.bz2”h0Œ@f736f2f963a5daee785b896aaf2bd52d05f01bc8e242eb61e5d35997ad9bb9e5”h2NhNh3Œ"p11-kit-cos6-x86_64 >=0.18.4 *_103”Œ(p11-kit-trust-cos6-x86_64 >=0.18.4 *_103”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Æ1ô’°!hEJA* hFˆubh)”}”(hŒflake8_junit_report”h#Œ2.1.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ.flake8_junit_report-2.1.0-pyh6c4a22f_0.tar.bz2”h+Œ d22d31b88a181ace6551a205c493dd67”h.Œ\https://conda.anaconda.org/conda-forge/noarch/flake8_junit_report-2.1.0-pyh6c4a22f_0.tar.bz2”h0Œ@59ca3d86895efa5a581771e93bf11933c52a5585d8f02533f5ced6bc8a8e2c67”h2NhNh3Œ&flake8-junit-report 2.1.0 pyhd8ed1ab_0”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ°+×„ZhEMÐhFˆubh)”}”(hŒ	r-edmdata”h#Œ1.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-edmdata-1.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 2cfabfb3dd2534791806a936fb26b576”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-edmdata-1.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@dbfd2b5d77d4807e35cc11ae0cd13d81e34042afe0ca435050032829d0c7b661”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ…Mé‰7hEJî^ hFˆubh)”}”(hŒr-naturalsort”h#Œ0.1.3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ,r-naturalsort-0.1.3-r41hc72bb7e_1003.tar.bz2”h+Œ 5402ed24cb01dd18b2c874758a3dc384”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-naturalsort-0.1.3-r41hc72bb7e_1003.tar.bz2”h0Œ@c12a104b1290de8c0e48a423e18e99c0d534f912a14277b0eff3c47b03daccee”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ+¡ÒñªhEM™ZhFˆubh)”}”(hŒgtkmm24-cos7-ppc64le”h#Œ2.24.5”h%Œha826a6f_103”h'Kghhh(h)hŒ0gtkmm24-cos7-ppc64le-2.24.5-ha826a6f_103.tar.bz2”h+Œ 60fd6e2b7664accad07aa8f9fda3df9c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos7-ppc64le-2.24.5-ha826a6f_103.tar.bz2”h0Œ@45ba0c933528c7311112d907d8d579bd001a5bfc249c945018bda6847d4feb4c”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{I&éhEJ0 hFˆubh)”}”(hŒtimezonefinder”h#Œ6.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)timezonefinder-6.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ ea1c4c4249e1b86a9105b10be6395bd6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/timezonefinder-6.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e07cefbbba8837a722f7573f32d8a63c3c5049438526495b94481bd460491771”h2NhNh3(Œh3-py”Œnumba”Œnumpy”Œ
python 3.*”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ²ÆÅf{hEJ’!hFˆubh)”}”(hŒlibxt-devel-cos6-x86_64”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libxt-devel-cos6-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h+Œ bab93b0e88b406c281aa4bf156a087dc”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos6-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@d2848e07c12907dfbe8caf42df8c18d3ebd5af1747a1dfe93c5d22100ef6865a”h2NhNh3Œ libxt-cos6-x86_64 ==1.1.4 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµpºŸ¾hEJQ hFˆubh)”}”(hŒr-treatmentselection”h#Œ2.1.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ3r-treatmentselection-2.1.1-r41hc72bb7e_1002.tar.bz2”h+Œ 7d130e333a361aa362cf5b16f29b0157”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-treatmentselection-2.1.1-r41hc72bb7e_1002.tar.bz2”h0Œ@accfcaa8e002f9c6bc35936f40584d3814c3ac43e04d8b2b8b7afd864be33ea2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-binom”Œ	r-ggplot2”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+°«ŸKÇhEJaž' hFˆubh)”}”(hŒtheme-darcula”h#Œ4.0.0”h%Œpyh76afe40_0”h'K hhh(h)hŒ(theme-darcula-4.0.0-pyh76afe40_0.tar.bz2”h+Œ 513cf39bc2382ac9f6f300fe79ffbfae”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/theme-darcula-4.0.0-pyh76afe40_0.tar.bz2”h0Œ@0e03de935e24877e0a76a13538b8d3a2868974e768097910b7b1fa11b8af3a75”h2NhNh3Œjupyterlab >=3.0.0,<4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¶
uðA‰hEM`ShFˆubh)”}”(hŒpytest-mypy”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pytest-mypy-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4e81c96e5f875c09e5b9f999035b9d8e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pytest-mypy-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@41b05a2db23111b4d4cb4af83519c1d1685f75066edc917a503c0cabceac0596”h2NhNh3(Œfilelock”Œmypy >=0.500”Œpytest >=3.5”Œpython >=3.5”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ïG`úJhEM±&hFˆubh)”}”(hŒnss-cos6-x86_64”h#Œ3.36.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ,nss-cos6-x86_64-3.36.0-h9d98e8f_1104.tar.bz2”h+Œ 31e7318c36ab19ed479b1b7af45d9c9e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos6-x86_64-3.36.0-h9d98e8f_1104.tar.bz2”h0Œ@8f31156e829b56a099e5b5def7af5efae047e51d1cd7ec5c08df467d73e22dd5”h2NhNh3(Œ nspr-cos6-x86_64 >=4.19.0 *_1104”Œ'nss-softokn-cos6-x86_64 >=3.14.3 *_1104”Œ$nss-util-cos6-x86_64 >=3.36.0 *_1104”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É)hshEJr% hFˆubh)”}”(hŒr-ibd”h#Œ1.5”h%Œr40hc72bb7e_2”h'Khhh(h)hŒr-ibd-1.5-r40hc72bb7e_2.tar.bz2”h+Œ da90298b614189de3b0981b0981e157d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ibd-1.5-r40hc72bb7e_2.tar.bz2”h0Œ@f8a148c7204d3237f69e61652307d01f98bda542c80607a9f7a1174070dad780”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-car”Œ	r-emmeans”Œ	r-lpsolve”Œ
r-multcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,Rr°hEJá hFˆubh)”}”(hŒordered-set”h#Œ4.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&ordered-set-4.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9a8714decb3967b290263817e876d8a9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/ordered-set-4.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@78d92f848a6b4a89148dfa1f6e65c0b75e8f3a267b6401be38fb3401853b4afa”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ|do[÷ÏhEMÍ,hFˆubh)”}”(hŒgtk2-devel-cos7-x86_64”h#Œ2.24.31”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4gtk2-devel-cos7-x86_64-2.24.31-h9b0a68f_1105.tar.bz2”h+Œ fcbf0f16a53ce46f23c8a46b4962b23f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos7-x86_64-2.24.31-h9b0a68f_1105.tar.bz2”h0Œ@e7154e396daae6f36f2a36edb79168583eb57973e18d9239adf4f2de075d69b5”h2NhNh3(Œ%atk-devel-cos7-x86_64 >=1.29.4 *_1105”Œ&cairo-devel-cos7-x86_64 >=1.6.0 *_1105”Œ'glib2-devel-cos7-x86_64 >=2.28.0 *_1105”Œ!gtk2-cos7-x86_64 ==2.24.31 *_1105”Œ'pango-devel-cos7-x86_64 >=1.20.0 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@r¼ãC–hEJ~6 hFˆubh)”}”(hŒlibxrandr-cos7-ppc64le”h#Œ1.5.1”h%Œha826a6f_103”h'Kghhh(h)hŒ1libxrandr-cos7-ppc64le-1.5.1-ha826a6f_103.tar.bz2”h+Œ 0947ed7bbb7459a83ba581f75a235579”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-ppc64le-1.5.1-ha826a6f_103.tar.bz2”h0Œ@a953a8229765dc944512e232f8b5a6ea8a2ffebcab8e8749ecd4f85dc45037dc”h2NhNh3Œ!libx11-cos7-ppc64le >=1.6.0 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1&rJhEMcchFˆubh)”}”(hŒ libglvnd-core-devel-cos7-ppc64le”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ;libglvnd-core-devel-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h+Œ f918096086aa71148bf203b5cca37ce4”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libglvnd-core-devel-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@5d886b5c8265e6def20d675327fc21b0160f0ba6ff83ccdd28028a18ab97a33a”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ˆVTýôhEMWhFˆubh)”}”(hŒr-twfy”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-twfy-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 454c7ca0db419da8a498552d4ead6b90”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-twfy-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@5e3a46a9e5e60333e2af0efe92a88d5a5e8525a7e656e3d39a963ab1262b4b45”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
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mongoquery”h#Œ1.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%mongoquery-1.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ d9ca1dd60a91520c47cc3892c6cf5e10”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mongoquery-1.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e5207cc611c6a8a4ad1d015aa7de0dbb344d4fb58e178771500bf461bf688cc5”h2NhNh3Œpython >=3.7”Œsix”†”h9h?h@Œ	Unlicense”hDGAØ¾¬Ý*ÀƒhEMè(hFˆubh)”}”(hŒr-assertive.data”h#Œ0.0_3”h%Œr35h6115d3f_1”h'Khhh(h)hŒ,r-assertive.data-0.0_3-r35h6115d3f_1.tar.bz2”h+Œ f886aea174bb76da2650921ddf9a07d2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-assertive.data-0.0_3-r35h6115d3f_1.tar.bz2”h0Œ@c2123ef8ed7e06f0481b1d3aefcfa28bd0bafdcdd731858618e89c321482930a”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=3.5,<3.6.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LWd¬í‘hEJ hFˆubh)”}”(hŒlibxdamage-devel-cos7-ppc64le”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8libxdamage-devel-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h+Œ 6301fc53e4ceaf8884be0d04be9848b6”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@73473e428bda36b469522631a7b20abeaeedfffee8d4f7555329b814edda4306”h2NhNh3Œ%libxdamage-cos7-ppc64le ==1.1.4 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzfŒí‘hEMþhFˆubh)”}”(hŒr-xlsx”h#Œ0.6.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-xlsx-0.6.5-r41hc72bb7e_0.tar.bz2”h+Œ 4277f0ae03b676413409886cc136dfb4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-xlsx-0.6.5-r41hc72bb7e_0.tar.bz2”h0Œ@ad5261050e5dc13b53d224110871cf4b6365dba8023dddd56143617eb3355e6d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava”Œ
r-xlsxjars”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ*ú¢û•hEJ—> hFˆubh)”}”(hŒlibpng-cos6-x86_64”h#Œ1.2.49”h%Œha826a6f_103”h'Kghhh(h)hŒ.libpng-cos6-x86_64-1.2.49-ha826a6f_103.tar.bz2”h+Œ c90b3753fd9d7c894be692104dc90a07”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libpng-cos6-x86_64-1.2.49-ha826a6f_103.tar.bz2”h0Œ@42873ce0bfaa2c43735463ed899eea6344933e660ab717c62ad89a4ed4bb03db”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGA×Æ{FVhEJÊò hFˆubh)”}”(hŒcontrib_colormaps”h#Œ0.0.1”h%Œpy_0”h'K hhh(h)hŒ$contrib_colormaps-0.0.1-py_0.tar.bz2”h+Œ c79fa48d8f1dbe8e86ae27e708940c51”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/contrib_colormaps-0.0.1-py_0.tar.bz2”h0Œ@08aa25b986b7fd476eb1ef14b7815fdff14f689b58ec8d0f2fa5ed554f7e0a77”h2NhNh3Œpython”…”h9h?h@Œ	CC-BY-4.0”hBŒCC”hDGA×w¬ÃÆ¨hEM]EhFˆubh)”}”(hŒipython_memory_usage”h#Œ1.2”h%Œpy_0”h'K hhh(h)hŒ%ipython_memory_usage-1.2-py_0.tar.bz2”h+Œ 7a0451126d76cdcd1ee4dce4559fbb85”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ipython_memory_usage-1.2-py_0.tar.bz2”h0Œ@efd4047c5653ad24f12e2a91f2eb4b77706fcf8e35fa75b3ca97b150f027663e”h2NhNh3Œipython”Œpython”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×pF%‚áHhEMk'hFˆubh)”}”(hŒneomodel”h#Œ4.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#neomodel-4.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ 1e40b28d34b4e0d397265c680ce098f1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/neomodel-4.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@f468c6cbe8d00fb4802cf80d68fdfd018a25c752b75dbcb79e5bce3a90b8bfc0”h2NhNh3(Œneo4j-python-driver >=4.3”Œneobolt >=1.7.17”Œpython >=3.5”Œpytz >=2021.1”Œ
setuptools”Œshapely >=1.7.1”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÀ¥Ô1xÕhEM…ŸhFˆubh)”}”(hŒ	r-utility”h#Œ1.4.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-utility-1.4.5-r41hc72bb7e_1.tar.bz2”h+Œ 34da64b463edd7791657eed9a3eac91c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-utility-1.4.5-r41hc72bb7e_1.tar.bz2”h0Œ@2ea75ebd1dc32232c18eefdf087c923623724be87a96a6078199138f6eafd22a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑÌu#dZhEJ0 hFˆubh)”}”(hŒgtk2-devel-cos7-aarch64”h#Œ2.24.31”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5gtk2-devel-cos7-aarch64-2.24.31-hdf0574f_1102.tar.bz2”h+Œ 6c4fa86e41aad18a2d36923cc11d0548”h.Œchttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos7-aarch64-2.24.31-hdf0574f_1102.tar.bz2”h0Œ@c11e2fccb739b7bca58bbf0093ca02285035552fb98ccf11051207ce9118350b”h2NhNh3(Œ&atk-devel-cos7-aarch64 >=1.29.4 *_1102”Œ'cairo-devel-cos7-aarch64 >=1.6.0 *_1102”Œ(glib2-devel-cos7-aarch64 >=2.28.0 *_1102”Œ"gtk2-cos7-aarch64 ==2.24.31 *_1102”Œ(pango-devel-cos7-aarch64 >=1.20.0 *_1102”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åj2 hEJšü5 hFˆubh)”}”(hŒr-refmanager”h#Œ1.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-refmanager-1.4.0-r41hc72bb7e_0.tar.bz2”h+Œ 1b0cf92c9da7310f349c83967b0ee24e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-refmanager-1.4.0-r41hc72bb7e_0.tar.bz2”h0Œ@58049824d6dc772572335c45422c60e60fbc95b70fd91b7469b39bbfcfc222b0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bibtex >=0.4.1”Œr-httr”Œ
r-jsonlite”Œr-lubridate >=1.5.0”Œr-plyr”Œ	r-stringr”Œr-xml2”t”h9hºh@Œ GPL-2.0-or-later OR BSD-3-Clause”hBŒGPL3”hDGAØÍôäß;hEJ§% hFˆubh)”}”(hŒopenmmforcefields”h#Œ0.11.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-openmmforcefields-0.11.2-pyhd8ed1ab_0.tar.bz2”h+Œ e0471ead33e5e731ae1bbe6cea68b1c2”h.Œ[https://conda.anaconda.org/conda-forge/noarch/openmmforcefields-0.11.2-pyhd8ed1ab_0.tar.bz2”h0Œ@06fc9c984f017f49f486371ec108ed6b33d3cabd7aaaf4b60f51e754502463db”h2NhNh3(Œambertools >=20.0”Œlxml”Œnetworkx”Œopenff-toolkit >=0.9.0”Œopenmm >=7.6.0”Œpython >=3.8”Œpyyaml”Œtinydb”Œ
validators”t”h6Œopenforcefield =9999999999999”…”h9h?h@ŒMIT”hBŒMIT”hDGAØË@Ó~$ÝhEJg©* hFˆubh)”}”(hŒr-knitrbootstrap”h#Œ1.0.2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ,r-knitrbootstrap-1.0.2-r36h6115d3f_2.tar.bz2”h+Œ e4f69e19cd2908e115d5994c3f45d5c8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitrbootstrap-1.0.2-r36h6115d3f_2.tar.bz2”h0Œ@26ab20d57fcb2b0ccdf7f135c105831289f58d543e3a285432c60c4036dbb5bb”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-knitr >=1.5.25”Œ
r-markdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGA×­MØ5OßhEJoC hFˆubh)”}”(hŒ	r-nbclust”h#Œ3.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-nbclust-3.0.1-r42hc72bb7e_1.tar.bz2”h+Œ e5dc098cb796fc6f5a89ac6f6cacba33”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-nbclust-3.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@04a7b7fb181ac516715b1f18b6ba37d5deedc49cc01e6b80e25b2e52674c1555”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐÛ›¶FhEJ hFˆubh)”}”(hŒgrip”h#Œ4.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒgrip-4.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9daebc1f2fec0bc074c183966ce9e0e0”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/grip-4.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4bc7e8392aa44d4ddcb5490a3a5a943bd6a585113018bca98a78b2dcf7fa3b5d”h2NhNh3(Œdocopt >=0.4.0”Œflask >=0.10.1”Œmarkdown >=2.5.1”Œpath-and-address >=2.0.1”Œpygments >=1.6”Œpython ==2.7.*|>3.3”Œrequests >=2.4.1”Œwerkzeug >=0.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‘;ŠÓhEJ;ã hFˆubh)”}”(hŒbeautifulsoup4”h#Œ4.10.0”h%Œpyha770c72_0”h'K hhh(h)hŒ*beautifulsoup4-4.10.0-pyha770c72_0.tar.bz2”h+Œ c29e0b4a2ff546cedbe6dc2921948a1d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.10.0-pyha770c72_0.tar.bz2”h0Œ@85492d0d282db7621c7f332b07beb338c8424094019d24702905775edfaea4bd”h2NhNh3Œpython >=3.6”Œsoupsieve >=1.2”†”h9h?h@ŒMIT”hBŒMIT”hDGAØNh¾‡+hEJ45 hFˆubh)”}”(hŒ
r-subspace”h#Œ1.0.4”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-subspace-1.0.4-r40hc72bb7e_1.tar.bz2”h+Œ 6484cc6d6f8b4e2148d74ba3d70b3a0b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-subspace-1.0.4-r40hc72bb7e_1.tar.bz2”h0Œ@abe359d882858f0acae54606bf30115a6ba4912627268c75ffef2e37d346de77”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-colorspace >=1.0”Œr-ggvis >=0.4.2”Œr-rjava >=0.9”Œr-stringr >=1.0.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ N
n˜hEJµ~A hFˆubh)”}”(hŒaiida-core.atomic_tools”h#Œ1.6.8”h%Œ
hd8ed1ab_2”h'Khhh(h)hŒ0aiida-core.atomic_tools-1.6.8-hd8ed1ab_2.tar.bz2”h+Œ 4e693ee32978fde24ee286338b08cea4”h.Œ^https://conda.anaconda.org/conda-forge/noarch/aiida-core.atomic_tools-1.6.8-hd8ed1ab_2.tar.bz2”h0Œ@f42b6c3712cef27874ddc5b42db6d8f9d261d7f419b72a567a0a64e4a13395ba”h2NhNh3(Œaiida-core 1.6.8 pyh6c4a22f_2”Œ
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] hFˆubh)”}”(hŒlibxcursor-cos7-aarch64”h#Œ1.1.15”h%Œhdf0574f_102”h'Kfhhh(h)hŒ3libxcursor-cos7-aarch64-1.1.15-hdf0574f_102.tar.bz2”h+Œ 666e2eabdc567df591b37d6754fcbf33”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-aarch64-1.1.15-hdf0574f_102.tar.bz2”h0Œ@63fca77b91dbd9889e7aa6a4e50c36859b90d1991d73a6adb3f460f349b31591”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ºh´9hEMqghFˆubh)”}”(hŒmesa-libegl-devel-cos7-x86_64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ:mesa-libegl-devel-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 1fe8ef56790d63f2eedc82787349a4e6”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-x86_64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@ad94710fdd43a0ce123deed3ba7c736ab1a55b0d4cb2f9206237e1a10d7b2422”h2NhNh3Œ'mesa-libegl-cos7-x86_64 ==18.3.4 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+íß+hEMÓJhFˆubh)”}”(hŒr-latticeextra”h#Œ0.6_30”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-latticeextra-0.6_30-r41hc72bb7e_1.tar.bz2”h+Œ eb26df551036649493c92c2e1a57a5c8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-latticeextra-0.6_30-r41hc72bb7e_1.tar.bz2”h0Œ@b32637c53ff2d39c4190902d6010cf8ead8fde0fb3250c8fd25524685fc214b7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-interp”Œr-jpeg”Œ	r-lattice”Œr-mass”Œr-png”Œr-rcolorbrewer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ;¬hEJÍO" hFˆubh)”}”(hŒr-prediction”h#Œ0.3.14”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-prediction-0.3.14-r36h6115d3f_1.tar.bz2”h+Œ f4094cd251d08ed2cd11f4339815176f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prediction-0.3.14-r36h6115d3f_1.tar.bz2”h0Œ@36a2ba38261d1c560544ce5bf6ce1812a539bad7bf6f1f8ca3fd5bf64fa384b4”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGA×KÞ‰•?}hEJ³Ç hFˆubh)”}”(hŒfribidi-cos7-ppc64le”h#Œ1.0.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/fribidi-cos7-ppc64le-1.0.2-h9b0a68f_105.tar.bz2”h+Œ a5e32b010e65e20f1fb26dca9dcc0429”h.Œ]https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-ppc64le-1.0.2-h9b0a68f_105.tar.bz2”h0Œ@6a0b13af3a140712c6c7fec277153a8465bfafeaaf05b810fcb72fce9470f209”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGAØ@‡5x“uhEJ7< hFˆubh)”}”(hŒgconf2-cos6-x86_64”h#Œ2.28.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.gconf2-cos6-x86_64-2.28.0-h9d98e8f_104.tar.bz2”h+Œ 15df05740fba33d0eb5c98e3a9bfab93”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gconf2-cos6-x86_64-2.28.0-h9d98e8f_104.tar.bz2”h0Œ@17064854ef3edc89dcc2336ecf46a29ae4729637b1d6e480a8bc635749dc4fa4”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éy]¤9XhEJO hFˆubh)”}”(hŒr-fontliberation”h#Œ0.1.0”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ0r-fontliberation-0.1.0-r351h6115d3f_1001.tar.bz2”h+Œ 83e0b7c8a81ab496fd73fec4ecac3352”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-fontliberation-0.1.0-r351h6115d3f_1001.tar.bz2”h0Œ@5fb2cf2b9b9ac8345ea7c41d408aeff8e136a0060dd35f8955df358382b3b287”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒOFL-1.1”hBŒOTHER”hDGAÖü¢A±G®hEJYA hFˆubh)”}”(hŒr-breakaway”h#Œ3.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-breakaway-3.0-r40hc72bb7e_1.tar.bz2”h+Œ d188c997fefcd109678f8c330298752b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-breakaway-3.0-r40hc72bb7e_1.tar.bz2”h0Œ@991f84cb5756dee659214c2dab0838623e23c2f7a04c92f7a613783d445c6130”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+S¥ó¶hEJRV hFˆubh)”}”(hŒr-imgur”h#Œ1.0.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-imgur-1.0.3-r42hc72bb7e_2.tar.bz2”h+Œ 90e0e720fe90b4ddcd523a5c067c6753”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-imgur-1.0.3-r42hc72bb7e_2.tar.bz2”h0Œ@9f8cd960d1a4e198842f485486cbe1b6245d2035089beaca30c0ebf429263e36”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-httr”Œr-jpeg”Œr-png”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ©p¡7LhEJç hFˆubh)”}”(hŒr-ghapps”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ghapps-1.0.0-r41hc72bb7e_0.tar.bz2”h+Œ 08efa15fd0989d42dcdf3cc7e2aa3a48”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ghapps-1.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@6ff398dc9f5faf5d0c59b2a8c20fa0ac7f6880c5cff6eb83047fd5d9d49b109e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gh”Œr-jose”Œ	r-openssl”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÚ¢øƒhEMñohFˆubh)”}”(hŒfinance_enums”h#Œ0.1.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ(finance_enums-0.1.1-pyh6c4a22f_0.tar.bz2”h+Œ ca8bb2f16ae6c721c18e3582df363d3d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/finance_enums-0.1.1-pyh6c4a22f_0.tar.bz2”h0Œ@b3f4f9e62bc85bd153ed9440fa255a35760ecbedb08fcf83e07e0c9d1c47f753”h2NhNh3Œpandas >=0.22”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ§–ˆ£×hEMæöhFˆubh)”}”(hŒnestly”h#Œ0.6.1”h%Œpyhd8ed1ab_1003”h'Mëhhh(h)hŒ$nestly-0.6.1-pyhd8ed1ab_1003.tar.bz2”h+Œ d7f493d4c34d9b074b5575aaaa27fcfb”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/nestly-0.6.1-pyhd8ed1ab_1003.tar.bz2”h0Œ@c2b2ead0dfdfefb7d938dd4f07080470e734090d24b70bc3584018389f7b08ca”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØb­7¬IºhEMMhFˆubh)”}”(hŒ	pancritic”h#Œ0.3.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ$pancritic-0.3.2-pyhd3deb0d_0.tar.bz2”h+Œ e65c4038128d6bdc58accf3e3bf387fc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pancritic-0.3.2-pyhd3deb0d_0.tar.bz2”h0Œ@5c3a24efe0305096fb4ad57bdf854bbd64df83dc7c4d988be5df32ce4375c234”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×øõH´9hEM…6hFˆubh)”}”(hŒr-waffle”h#Œ0.7.0”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ'r-waffle-0.7.0-r42hc72bb7e_1003.tar.bz2”h+Œ cd1a231d70e0ccc102317a080a839612”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waffle-0.7.0-r42hc72bb7e_1003.tar.bz2”h0Œ@80ccbb287f9e8433858c6a1c28402f7d0ccfc5165150ecad97477cf340edae27”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-extrafont”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-gtable”Œr-rcolorbrewer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑÌVÈ´hEJ-, hFˆubh)”}”(hŒr-juicyjuice”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-juicyjuice-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 5ad8b4d0fc89f950b6e9d960cc766aa6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-juicyjuice-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@c7c10fd4479fe420e496403e30c9969decc46883ab9e0d3a7c3a4ae85c815ffa”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-v8 >=4.2.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÝ‚edýôhEJ™ñ hFˆubh)”}”(hŒ
r-geofacet”h#Œ0.2.0”h%Œr36hc72bb7e_1”h'Khhh(h)hŒ&r-geofacet-0.2.0-r36hc72bb7e_1.tar.bz2”h+Œ cc05bd4f8cdfc3c34d6ae65a6eba2763”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geofacet-0.2.0-r36hc72bb7e_1.tar.bz2”h0Œ@486bf2c69805e9a9eada100e2eaba1514208a6f426c83392a478abdb5fff5a26”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-geogrid”Œr-ggplot2 >=3.2.1”Œ	r-ggrepel”Œr-gridextra”Œr-gtable”Œr-imgur”Œr-rnaturalearth”Œr-sf”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ#…~úhEJ“J hFˆubh)”}”(hŒr-glm2”h#Œ1.2.1”h%Œr42ha770c72_1004”h'Mìhhh(h)hŒ%r-glm2-1.2.1-r42ha770c72_1004.tar.bz2”h+Œ 78d782b6fb8f25255e5d930c2aa81daa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-glm2-1.2.1-r42ha770c72_1004.tar.bz2”h0Œ@f3c53d142926e0588972e5eefa83704bf9fbbb3d9efe9aa88d00ea3e62d7979d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ,ãÜIºhEJ§	 hFˆubh)”}”(hŒr-withr”h#Œ2.5.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-withr-2.5.0-r41hc72bb7e_1.tar.bz2”h+Œ 23c0e5a3dc9258b9a06928097560adba”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-withr-2.5.0-r41hc72bb7e_1.tar.bz2”h0Œ@59a3a6243a455e4be16e4f2a45d3ec6ea7d8928eaa3cb0edf3f92d8158ef9c0c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐ&lqhshEJ¡Á hFˆubh)”}”(hŒ
r-nlcoptim”h#Œ0.6”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-nlcoptim-0.6-r36h6115d3f_1.tar.bz2”h+Œ 17fbd88c2d8fdbad02876f4b5283b80e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nlcoptim-0.6-r36h6115d3f_1.tar.bz2”h0Œ@961d3750f86e5dd143882cfa41014517b2adf42638cc6c289bab77e03d022e49”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×’8)ÇÎÙhEJF hFˆubh)”}”(hŒ	r-infuser”h#Œ0.2.8”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ)r-infuser-0.2.8-r351h6115d3f_1001.tar.bz2”h+Œ 81bfa01b13b889017eae97d40b201bef”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-infuser-0.2.8-r351h6115d3f_1001.tar.bz2”h0Œ@ba5bdba1c2a61c32520f654c783d3909534689bb9615b369a9aaa85be37b1743”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÖüñl‹hEM³ƒhFˆubh)”}”(hŒ	r-foreach”h#Œ1.5.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-foreach-1.5.2-r42hc72bb7e_1.tar.bz2”h+Œ 046dfd3dd988d47454eecfb9e4da1a09”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-foreach-1.5.2-r42hc72bb7e_1.tar.bz2”h0Œ@a1e593fa0475626cb2c87ab25ae82e46cea1aec2d998a282a12a19ea81f693f1”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-codetools”Œr-iterators”‡”h9hºh@Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÒ'PÈQìhEJ×í hFˆubh)”}”(hŒr-poiclaclu”h#Œ1.0.2.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-poiclaclu-1.0.2.1-r36hc72bb7e_0.tar.bz2”h+Œ ba2cf9f716bd07b32c97c7c725450771”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-poiclaclu-1.0.2.1-r36hc72bb7e_0.tar.bz2”h0Œ@a060a418ee227ae95cdfcae55c0b394f6ae6d132a6ba16df30e53666faceb324”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ.JýôhEJá$ hFˆubh)”}”(hŒwebkitgtk-cos6-x86_64”h#Œ1.4.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ1webkitgtk-cos6-x86_64-1.4.3-hdf0574f_1102.tar.bz2”h+Œ a5ee471d6d9e6002797daa86c3b2bb3c”h.Œ_https://conda.anaconda.org/conda-forge/noarch/webkitgtk-cos6-x86_64-1.4.3-hdf0574f_1102.tar.bz2”h0Œ@5397bf4bbc9227551fe949e293468ea673413c93e3a0f01bb08a82945cd205b0”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGA×Åá¥Ý/hEJ$Ûs hFˆubh)”}”(hŒr-rtf”h#Œ0.4_14.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-rtf-0.4_14.1-r41hc72bb7e_0.tar.bz2”h+Œ 6ad4675af595c8e373889a10f899d8e3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rtf-0.4_14.1-r41hc72bb7e_0.tar.bz2”h0Œ@7dc1bc4453af0e1e9edcc2aff8224e4ab2ee582a7030ff891fb48157d21ec2b5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-r.methodss3”Œr-r.oo”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÙ3ãÆ$ÝhEJûŽ hFˆubh)”}”(hŒr-rvmmin”h#Œ2018_4.17.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-rvmmin-2018_4.17.1-r42hc72bb7e_1.tar.bz2”h+Œ 441212a46d6ccd4429828d48646bb595”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rvmmin-2018_4.17.1-r42hc72bb7e_1.tar.bz2”h0Œ@effedd934a9b8127e93f3c0c5b9a738a9c373a754aa51196ff87fc39b7c7f781”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-optextras”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑL‰‰º^hEJ { hFˆubh)”}”(hŒxxh-xxh”h#Œ0.8.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"xxh-xxh-0.8.6-pyh9f0ad1d_0.tar.bz2”h+Œ 32adb8055e6a41b9e6fb438d418ce446”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/xxh-xxh-0.8.6-pyh9f0ad1d_0.tar.bz2”h0Œ@95ca6f90b8210bed81a5817567efd2e23c773db68c67300076a689d01310a6d8”h2NhNh3Œpexpect”Œpython”Œpyyaml”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ÛxF¸RhEMÅahFˆubh)”}”(hŒlibxxf86vm-cos7-aarch64”h#Œ1.1.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libxxf86vm-cos7-aarch64-1.1.4-h9b0a68f_105.tar.bz2”h+Œ 5cd27fad0b32bad1c37f0d634ff76718”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-aarch64-1.1.4-h9b0a68f_105.tar.bz2”h0Œ@8bf80bf5fab4329d09967e65f2f1aae409d868405621c725684e8ecf622fe88c”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\³Ÿ\)hEMI<hFˆubh)”}”(hŒr-ez”h#Œ4.4_0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ r-ez-4.4_0-r41hc72bb7e_2.tar.bz2”h+Œ 78a842f019bff3f2f85bb0fecc1ee26c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ez-4.4_0-r41hc72bb7e_2.tar.bz2”h0Œ@c36aa3025a61cb1514b2499b9cd7c0eac5c13a3f776f21527a356409f76bc815”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-car >=2.1_3”Œr-ggplot2 >=2.1.0”Œr-lme4 >=1.1_12”Œr-mass >=7.3_45”Œr-matrix >=1.2_7.1”Œr-mgcv >=1.8_12”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”Œr-scales >=0.4.0”Œr-stringr >=1.1.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÓ[°Àr°hEJ hFˆubh)”}”(hŒjupyter_client”h#Œ7.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)jupyter_client-7.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7853b3a9c3e9e0c8a8c824a753a7fc7b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b9f351d117025ec9d07f48bc7373168b85cde19e7633ae5c8893c742fe75d380”h2NhNh3(Œentrypoints”Œjupyter_core >=4.9.2”Œnest-asyncio >=1.5.4”Œpython >=3.7”Œpython-dateutil >=2.8.2”Œpyzmq >=23.0”Œtornado >=6.2”Œ	traitlets”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÑp¯Ên˜hEJñk hFˆubh)”}”(hŒ
r-nparcomp”h#Œ3.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ$r-nparcomp-3.0-r40h6115d3f_2.tar.bz2”h+Œ 708a943bc61d0caa9eb8e6be2eac79ba”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nparcomp-3.0-r40h6115d3f_2.tar.bz2”h0Œ@7babe67e10d38b7fd20d6347ff1829e25fa4032e00186a996c00c895011a8b8c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-multcomp”Œ	r-mvtnorm”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×¬	Ol‹hEJÉ hFˆubh)”}”(hŒ
r-survtmle”h#Œ1.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-survtmle-1.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 6ded39796a650979f8b36b89ec0987fb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-survtmle-1.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@bff76fd77a86cb262ecf529cc4055f316f01834e4c0ef3bc0bbb3d8e5737be04”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-ggsci”Œr-matrix”Œr-plyr”Œ
r-speedglm”Œ	r-stringr”Œr-superlearner”Œr-tidyr >=0.8.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓÃ£Ç|îhEJ„89 hFˆubh)”}”(hŒjupyter-server-proxy”h#Œ3.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/jupyter-server-proxy-3.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8fdfe5edf206bbfef250c830b5a72aff”h.Œ]https://conda.anaconda.org/conda-forge/noarch/jupyter-server-proxy-3.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@8495d448fa918afbeeddf158084407838c1c8a3c2e7d07a6b92fc1161a2e39fb”h2NhNh3(Œaiohttp”Œjupyter_server >=1”Œpython >=3.6”Œsimpervisor >=0.4”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ{Úµkt¼hEMtthFˆubh)”}”(hŒr-colortools”h#Œ0.1.5”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ+r-colortools-0.1.5-r41hc72bb7e_1002.tar.bz2”h+Œ 5060b1cd81d4d4be147e23afb975d05c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-colortools-0.1.5-r41hc72bb7e_1002.tar.bz2”h0Œ@0626097dd0b9a89275f2eb14dfe20ed2a70ffb06c6adfd5eaa95480d18af0f56”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+,¢=qhEJúX hFˆubh)”}”(hŒxcb-util-keysyms-cos7-x86_64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8xcb-util-keysyms-cos7-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ 8d59d9cde11633b839c84899a1b9f4cb”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-cos7-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@9992266325bcc7554a33ffad25ec883699683b3c05bd2e73c75638ee2d18c278”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@f0Ë¥ãhEMþ1hFˆubh)”}”(hŒ
dask-mongo”h#Œ2022.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(dask-mongo-2022.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6643bedc35a2506f745a052056ddfc2c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/dask-mongo-2022.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ee77310d5ba7622ed359d79cd97ed21c07cae40dabcbff60e0d4b4a06ebd45e1”h2NhNh3(Œdask”Œdistributed”Œpymongo”Œpython >=3.8”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ£í¶&¸RhEMë&hFˆubh)”}”(hŒ	r-dtangle”h#Œ2.0.9”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-dtangle-2.0.9-r40hc72bb7e_1.tar.bz2”h+Œ 8499dfdda5b416d62226e1eb554ae908”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dtangle-2.0.9-r40hc72bb7e_1.tar.bz2”h0Œ@f917ff9fadf5da24f0bd8c793b9d9674bf849c6a24f4a80c784bfa770ec751f1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-deoptimr”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ++Ñ«Æ¨hEJ°t hFˆubh)”}”(hŒlovelyplots”h#Œ0.0.26”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'lovelyplots-0.0.26-pyhd8ed1ab_0.tar.bz2”h+Œ eb7babe909f835b1fee8084a3375d483”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/lovelyplots-0.0.26-pyhd8ed1ab_0.tar.bz2”h0Œ@e3550bae635d436f5db7f4cd56233d4d2070906872ed4c2aec06f016c96985b5”h2NhNh3Œmatplotlib-base”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¹÷‘XhEM+6hFˆubh)”}”(hŒr-choroplethrmaps”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ-r-choroplethrmaps-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ 2d087c66274ab629bd180f91e3688272”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-choroplethrmaps-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@abf3b8f93338401cc6db1f82c5e221189d10faf97adb0aa9f2611ee79c4202e3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØBÓÉG®hEJ‰ê! hFˆubh)”}”(hŒr-bstats”h#Œ0.0.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ$r-bstats-0.0.1-r41ha770c72_1.tar.bz2”h+Œ 160b67c6b05a21f8a43c5bbe2d13f754”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bstats-0.0.1-r41ha770c72_1.tar.bz2”h0Œ@11816fd15f6b1dd5f18cf051ae852406e4eb2d3c2d2e82632490ee685eccdbd0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
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GPL (>= 3)”hBŒGPL3”hDGA×L=aù&éhEJ™^ hFˆubh)”}”(hŒorbit2-cos7-aarch64”h#Œ2.14.19”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0orbit2-cos7-aarch64-2.14.19-h9d98e8f_104.tar.bz2”h+Œ e4fc292ac94776ff1768fddf921da140”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-aarch64-2.14.19-h9d98e8f_104.tar.bz2”h0Œ@9672bf9bfdac01dc3b6fdd62dd7c43f5827ab734831aca063858e27f8cc31785”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Éxö!ÊÁhEJ?Ñ hFˆubh)”}”(hŒgeoalchemy-odm2”h#Œ0.7.4”h%Œpy_1”h'Khhh(h)hŒ"geoalchemy-odm2-0.7.4-py_1.tar.bz2”h+Œ 79d4c9567c191faab2190d6e827c00bf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/geoalchemy-odm2-0.7.4-py_1.tar.bz2”h0Œ@1ad45f2fca8d900e53991c53f7ec7b269f50705f459594b95fc727fde983db61”h2NhNh3Œpython”Œsix”Œsqlalchemy >=0.6.1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐ•°®È´hEMz¤hFˆubh)”}”(hŒtiled-xarray”h#Œ0.1.0a75”h%Œ
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r-ic.infer”h#Œ1.1_6”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ)r-ic.infer-1.1_6-r36h6115d3f_1002.tar.bz2”h+Œ 772b8dde35b11c78ac2164bbeba92868”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ic.infer-1.1_6-r36h6115d3f_1002.tar.bz2”h0Œ@b5603c37ea2e8109234216f41becc581f304012c596b62b29836afafe6499bcd”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-boot”Œ
r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬¹ÉÏ
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Apache-2.0”hBŒAPACHE”hDGAØp,G*áHhEM·7hFˆubh)”}”(hŒr-orthopolynom”h#Œ1.0_6.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-orthopolynom-1.0_6.1-r41hc72bb7e_1.tar.bz2”h+Œ 687e4d6e03b9de5b1a9abb94e8218bb2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-orthopolynom-1.0_6.1-r41hc72bb7e_1.tar.bz2”h0Œ@ce33687d51f39a7576b72e9d7bbcab97c7219d3c9bf5e9520264105b95fb2303”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-polynom”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑm÷
=hEJ¢€ hFˆubh)”}”(hŒr-eva”h#Œ0.2.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-eva-0.2.6-r42hc72bb7e_1.tar.bz2”h+Œ 1350f2ebb44a439e3ca9b02e90e1bf51”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-eva-0.2.6-r42hc72bb7e_1.tar.bz2”h0Œ@e5008ffe1cce702829f38142a145ad0a9b38624dfba7aefa56707d27565ae099”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-envstats”Œr-matrix”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒmoïžhEJýØ# hFˆubh)”}”(hŒpytorch_warmup”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pytorch_warmup-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ c78d85894cbd431b1dd88550ce5ddcab”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pytorch_warmup-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5a2544bd67a0be31cd277c6029d29515b84e196f74b9fab823758fc524674a15”h2NhNh3Œpython >=3.7”Œpytorch >=1.1”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÝzÎ³Æ¨hEMî)hFˆubh)”}”(hŒlibxcb-cos7-x86_64”h#Œ1.13”h%Œha826a6f_1103”h'MOhhh(h)hŒ-libxcb-cos7-x86_64-1.13-ha826a6f_1103.tar.bz2”h+Œ c004efbc5db4fd9c03904cd596a97be5”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-x86_64-1.13-ha826a6f_1103.tar.bz2”h0Œ@302a94863134c779078ce5e64f51bf0078e0730157c99a63c271b3f023a8eee5”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/à ÅhEJv° hFˆubh)”}”(hŒlibrdmacm-cos7-ppc64le”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ1librdmacm-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h+Œ 9666359ee9d778b0b9b8d515e0ed6e35”h.Œ_https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h0Œ@2526c2545a6ff9dece7c1e2ade2569831194b5326b12ad47d74a3670def20524”h2NhNh3Œ%libibverbs-cos7-ppc64le ==22.4 *_1103”Œ$rdma-core-cos7-ppc64le ==22.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,ýÐA‰hEJ¶, hFˆubh)”}”(hŒxstac”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ xstac-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ fa5bfccdabd748070d69325ef2e74b38”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/xstac-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d7d76f9eb75c13c31d4f6ef6d655ad995736cc3dbb07cf2b655299803c936d1a”h2NhNh3(Œaiohttp !=4.0.0a0,!=4.0.0a1”Œ	cf_xarray”Œ	dask-core”Œfsspec”Œ
jsonschema”Œnumpy”Œpandas”Œpydantic”Œpyproj”Œpystac >=1.0.0b3”Œpython >=3.6”Œrequests”Œxarray”Œzarr”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÆ-º^hEM«.hFˆubh)”}”(hŒibis-omniscidb”h#Œ2.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)ibis-omniscidb-2.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ ef221a7df7f8a0fd42dc487ab3bd9716”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/ibis-omniscidb-2.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@e5879d2d5d949ee5e5cf48def1c21d61411715ec26125bd984ca9e1f193662e4”h2NhNh3(Œ	geopandas”Œibis-framework-core 2.0”Œpandas”Œpyarrow”Œpyomnisci >=0.28.1”Œpython >=3.7”Œrbc >=0.4.0”Œregex”Œshapely”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ|Â¿d›¦hEMÍ¡hFˆubh)”}”(hŒlibxt-cos7-aarch64”h#Œ1.1.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ-libxt-cos7-aarch64-1.1.5-hdf0574f_102.tar.bz2”h+Œ 0f54c2f553fef4cd341a716bda31068e”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxt-cos7-aarch64-1.1.5-hdf0574f_102.tar.bz2”h0Œ@c3851bcc9014e53fa4ddaf38587962a359ec147ea5cc5d092e35326b4e3d52cc”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´ÞXbNhEJ˜½ hFˆubh)”}”(hŒ	r-alabama”h#Œ2022.4_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-alabama-2022.4_1-r41hc72bb7e_0.tar.bz2”h+Œ b7abade7809874db9e7f9168130d7233”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-alabama-2022.4_1-r41hc72bb7e_0.tar.bz2”h0Œ@1b306a3e7395616440a5ac6f608685d82030e3b5338d77133dd266b5dc8c651b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-numderiv”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ™þO˜“uhEJéP hFˆubh)”}”(hŒr-wesanderson”h#Œ0.3.6”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ,r-wesanderson-0.3.6-r36h6115d3f_1002.tar.bz2”h+Œ 96aad5e56c5749dd4017e4f2af276f85”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-wesanderson-0.3.6-r36h6115d3f_1002.tar.bz2”h0Œ@fd6ae30f67fec06d43ba730b28d047a106448e0bc26e6a3d57d6fb2772642252”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×LOŽéyhEM^hFˆubh)”}”(hŒtibanna”h#Œ0.18.3”h%Œpy_1”h'Khhh(h)hŒtibanna-0.18.3-py_1.tar.bz2”h+Œ 68d498993abe3ca5c24d1eaf510fa199”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/tibanna-0.18.3-py_1.tar.bz2”h0Œ@d00ade2752b81010cb8f227a5c0b6979d4246b4e71a32afed92ca3f3e7906d59”h2NhNh3(Œbenchmark-4dn >=0.5.8”Œboto3 >=1.9.0”Œbotocore >=1.12.1”Œpython >=3.6”Œpython-lambda-4dn 0.12.3”Œrequests >=2.22.0”Œurllib3 >=1.24”t”h9h?h@ŒMIT”hBŒMIT”hDGA×äU#È´hEMšÅhFˆubh)”}”(hŒr-googlecloudstorager”h#Œ0.7.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ1r-googlecloudstorager-0.7.0-r42hc72bb7e_1.tar.bz2”h+Œ d52cbecd8ecad5a1bea1c9c9cc45b735”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-googlecloudstorager-0.7.0-r42hc72bb7e_1.tar.bz2”h0Œ@7736ce04d867eab6a95a53e3d85f2e612c8abd712c17c95c59796244d79f0e72”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-googleauthr >=1.0.0”Œr-httr >=1.2.1”Œr-jsonlite >=1.0”Œ	r-openssl”Œr-yaml”Œr-zip >=2.0.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒpfýôhEJ|] hFˆubh)”}”(hŒr-osmar”h#Œ1.1_7”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ&r-osmar-1.1_7-r36h6115d3f_1003.tar.bz2”h+Œ f1193b1cac03c4c5110fba5a17d2aa98”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-osmar-1.1_7-r36h6115d3f_1003.tar.bz2”h0Œ@2f5ab3eb199fd629d5d5806b6caf86bf0e138c88a235b5018af38b7c966fe44d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-geosphere”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬œV˜å`hEJ¢‹ hFˆubh)”}”(hŒr-matrixeqtl”h#Œ2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-matrixeqtl-2.3-r41hc72bb7e_1.tar.bz2”h+Œ 89165cd4fdc3add804f197f3425fb1db”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-matrixeqtl-2.3-r41hc72bb7e_1.tar.bz2”h0Œ@cefce07b68be4ae90668897eb1b645a95f8e13a25c0967c347015bed8659c585”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGAØ+"°‡hEJ<@ hFˆubh)”}”(hŒflake8”h#Œ4.0.1”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ!flake8-4.0.1-pyhd8ed1ab_2.tar.bz2”h+Œ a824bd55ce47e9c637427f730c651231”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/flake8-4.0.1-pyhd8ed1ab_2.tar.bz2”h0Œ@4344506c9f60bc2dbeb46aae8d5d8ff247bed5f6c83e3bc5b4e863a784794da7”h2NhNh3(Œimportlib-metadata”Œmccabe >=0.6.0,<0.7.0”Œpycodestyle >=2.8.0,<2.9.0”Œpyflakes >=2.4.0,<2.5.0”Œpython >=3.6”Œsetuptools >=30.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‰ø¾xÄœhEJK hFˆubh)”}”(hŒlibxinerama-cos7-aarch64”h#Œ1.1.3”h%Œha826a6f_103”h'Kghhh(h)hŒ3libxinerama-cos7-aarch64-1.1.3-ha826a6f_103.tar.bz2”h+Œ b288409389219ce1ea10eaab242a1334”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-aarch64-1.1.3-ha826a6f_103.tar.bz2”h0Œ@6a283b16ef1580dd6792597d31eeb75e15c02dc0998c4369f29f0f494ec5faf9”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1¸0  hEMH+hFˆubh)”}”(hŒawesome-slugify”h#Œ1.6.5”h%Œpy_2”h'Khhh(h)hŒ"awesome-slugify-1.6.5-py_2.tar.bz2”h+Œ f689efd41d87ebf77f1ea924b6c7a2f4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/awesome-slugify-1.6.5-py_2.tar.bz2”h0Œ@16048a4b65ac5ba192a088d21b58c0cc3922568aeb53ce49dfe34a0c0541fb52”h2NhNh3Œpython”Œregex”Œunidecode >=0.04.14,<0.05”‡”h9h?h@ŒGPL-3.0”hBŒGPL”hEMÎ(hFˆubh)”}”(hŒr-ez”h#Œ4.4_0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ r-ez-4.4_0-r40hc72bb7e_1.tar.bz2”h+Œ 294771aeb8bd4b4dc6cb067ef9b9928e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ez-4.4_0-r40hc72bb7e_1.tar.bz2”h0Œ@81cb22fac7efee69d2aef9c4dac7263724901d84008816637f9b1c3e33bddbac”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-car >=2.1_3”Œr-ggplot2 >=2.1.0”Œr-lme4 >=1.1_12”Œr-mass >=7.3_45”Œr-matrix >=1.2_7.1”Œr-mgcv >=1.8_12”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”Œr-scales >=0.4.0”Œr-stringr >=1.1.0”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,­úÀƒhEJ[e hFˆubh)”}”(hŒ
r-dendsort”h#Œ0.3.4”h%Œr36ha770c72_0”h'K hhh(h)hŒ&r-dendsort-0.3.4-r36ha770c72_0.tar.bz2”h+Œ 740dcf1ee7afac7926ea0b4116d604dc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dendsort-0.3.4-r36ha770c72_0.tar.bz2”h0Œ@b29c1b22e2a558d6d1ea1d5e2cdfc2c0e7b43620a9791d55240329cc28142428”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ·~ÎùÛhEJe` hFˆubh)”}”(hŒeventemitter”h#Œ0.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ'eventemitter-0.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ 19d68179ff7edfdd4610eb03c9728f63”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/eventemitter-0.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@78482d4d1ca8d1b7f7b4da97cf2f8678d439c862cd7d8270672c3924543c95f2”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×½.wôjhEM+>hFˆubh)”}”(hŒazure-mgmt-datafactory”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1azure-mgmt-datafactory-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ e5ac5a99ee8f840a40e1966af1fb58dc”h.Œ_https://conda.anaconda.org/conda-forge/noarch/azure-mgmt-datafactory-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@38b904a6ac6b691f6b9a4f7acbba06e99b7d7175640e575b21ae799f9e0080b7”h2NhNh3(Œazure-common >=1.1,<2.0”Œazure-mgmt-core >=1.2.0,<2.0.0”Œmsrest >=0.5.0”Œpython >=3.5”t”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØPõ1ûçhEJX hFˆubh)”}”(hŒr-aggregation”h#Œ1.0.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ,r-aggregation-1.0.1-r41hc72bb7e_1002.tar.bz2”h+Œ 0ece2d3e13ed23686aa8995ffc2bd12c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-aggregation-1.0.1-r41hc72bb7e_1002.tar.bz2”h0Œ@5e53c32ccc9319b3753853a3452c2df9bb96413beb01e7906f585a50b91415fd”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+14t¼hEMÓ{hFˆubh)”}”(hŒr-dgeobj.utils”h#Œ1.0.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-dgeobj.utils-1.0.6-r41hc72bb7e_0.tar.bz2”h+Œ 779530054d3b6d0dfc90d9c19ab42820”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-dgeobj.utils-1.0.6-r41hc72bb7e_0.tar.bz2”h0Œ@ae736498c777848b2ab15b130f6664d5aedc36382ba27dc04b0e3d382c87c7f1”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dgeobj >=1.0.3”Œr-dplyr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ®ß;hEJE hFˆubh)”}”(hŒlibidl-cos7-aarch64”h#Œ0.8.14”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libidl-cos7-aarch64-0.8.14-h9d98e8f_1104.tar.bz2”h+Œ e70386ff337a856894e51bc60a36e4e5”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libidl-cos7-aarch64-0.8.14-h9d98e8f_1104.tar.bz2”h0Œ@408cf06f485088d7561515eb641fc5dc4add6cb1a662f530f8f0723a751b79a1”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éy3©ühEJ•u hFˆubh)”}”(hŒ	r-infuser”h#Œ0.2.8”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-infuser-0.2.8-r41hc72bb7e_1003.tar.bz2”h+Œ 5cc3e065526eb7289bd7532f02eda6a2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-infuser-0.2.8-r41hc72bb7e_1003.tar.bz2”h0Œ@bdb49efad130523cb99d827420e637a48ea63811b974a258783bd8275f297199”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+#7h´9hEMm‹hFˆubh)”}”(hŒr-postlogic”h#Œ0.1.0.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-postlogic-0.1.0.1-r42hc72bb7e_2.tar.bz2”h+Œ b51c946fa7ef00541d1364b58b3f1dc0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-postlogic-0.1.0.1-r42hc72bb7e_2.tar.bz2”h0Œ@38021d66f3a069c7bb3d13e2bd977d066785602e6f7b046c050173f012f3a60f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑïÜí‘hEMdihFˆubh)”}”(hŒlibsepol-cos7-aarch64”h#Œ2.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libsepol-cos7-aarch64-2.5-h9d98e8f_1104.tar.bz2”h+Œ 1030917a9ba4edd25b901ea5b7d3c2a7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-aarch64-2.5-h9d98e8f_1104.tar.bz2”h0Œ@835ca98364008a8136ad26db944d724a1ff6a3258824a7b3396ff125a476a9ab”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éyo_¾whEJR hFˆubh)”}”(hŒpolygonation”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'polygonation-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5c73a7ca0bc3f06ea6579f1b285ba35c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/polygonation-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7703fb794f1ec88b8ef77c576dda08f8e7c51b218f94fbc866c70fb4e87d7e06”h2NhNh3Œnumpy”Œpython >=3.7”Œscipy”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×éìÃ	‰7hEM9)hFˆubh)”}”(hŒmesa-libgl-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_1101”h'MMhhh(h)hŒ4mesa-libgl-cos7-aarch64-18.3.4-h1795305_1101.tar.bz2”h+Œ d971e4adaa0491e205f555fdcc863634”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-aarch64-18.3.4-h1795305_1101.tar.bz2”h0Œ@8d8737eae9658764456bbefee8c9f69c07fce1cec114d77e85dafd7ced15f750”h2NhNh3Œlibdrm-cos7-aarch64 >=2.4.83”Œ!mesa-libglapi-cos7-aarch64 18.3.4”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å{¬›¦hEJÙ hFˆubh)”}”(hŒazure-mgmt-redis”h#Œ6.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+azure-mgmt-redis-6.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ d3135bff1fe1d9d11ee4215de791c8e8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/azure-mgmt-redis-6.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@c2715732a29cfd412c0780e08f2c869f0ca479aef7605506cfea7c034c1395a9”h2NhNh3(Œazure-common ~=1.1”Œmsrest >=0.5.0”Œmsrestazure >=0.4.32,<2.0.0”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×æ5¬¼jhEM5shFˆubh)”}”(hŒr-shinypanel”h#Œ0.1.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-shinypanel-0.1.5-r40hc72bb7e_0.tar.bz2”h+Œ b71bcb9c54d3f832fd1ba1f72e32d7de”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinypanel-0.1.5-r40hc72bb7e_0.tar.bz2”h0Œ@4ad0fa573a33e21dc719584fbd8a851cfb6f3981b03d9ac5987f08bcd5c888e0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œ
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Apache-2.0”hBŒAPACHE”hDGAØ{ƒ»£÷ÏhEMÁˆhFˆubh)”}”(hŒ
pymemcache”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pymemcache-4.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 18fab4da335f2d43ec11cb5fe48db930”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pymemcache-4.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f277d0a36d9824f1d96dc5d0f533732791b6de42e033e78ab7c5ba8d070badd9”h2NhNh3Œpython >=2.7”Œsix”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÓoï®hEMmËhFˆubh)”}”(hŒautodoc-pydantic”h#Œ1.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+autodoc-pydantic-1.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 84eee679abc88db41d6d1b7d0696caec”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/autodoc-pydantic-1.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c532f240604006ad8ac70ee3df3ce1df35830ffcfefdc73f201a9a7d5fef807e”h2NhNh3Œpydantic >=1.5”Œpython >=3.6,<4.0”Œsphinx >=3.4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÒ+ªAë…hEM¡khFˆubh)”}”(hŒr-varhandle”h#Œ2.0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-varhandle-2.0.5-r41hc72bb7e_1.tar.bz2”h+Œ b3e5bef51603443ef279b112e8b25138”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-varhandle-2.0.5-r41hc72bb7e_1.tar.bz2”h0Œ@fd93b5ae7a54828c757c59b4f7796c474a49b07a894cb622202512cbb8b17be9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+EÃ33hEJ!> hFˆubh)”}”(hŒnetworkx”h#Œ2.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!networkx-2.8-pyhd8ed1ab_0.tar.bz2”h+Œ f23297b9fa680ba13f9fdfba58bb3064”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/networkx-2.8-pyhd8ed1ab_0.tar.bz2”h0Œ@e335f4d47d86be7c424b633f6e70c20bec641062e8dccd0275cf43b318f0cc5b”h2NhNh3(Œmatplotlib-base >=3.4”Œnumpy >=1.19”Œpandas >=1.3”Œpython >=3.8”Œscipy >=1.8”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ”™î1ë…hEJ7¡ hFˆubh)”}”(hŒ
r-zipcoder”h#Œ0.3.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-zipcoder-0.3.5-r42hc72bb7e_1.tar.bz2”h+Œ 49fd466f4e3b8b6f2cf2f3bec177b5b8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-zipcoder-0.3.5-r42hc72bb7e_1.tar.bz2”h0Œ@aedabef247d2ada7ed26a5835b57e198c560d762ac2524e4fbe4df8001a6e487”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-dbi”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-raster”Œr-rlang”Œ	r-rsqlite”Œ	r-stringr”Œr-tidycensus”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ
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r-promises”Œr-shiny >=1.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐÆybŸ¾hEJl™ hFˆubh)”}”(hŒulmo”h#Œ0.8.8”h%Œpyh6c4a22f_0”h'K hhh(h)hŒulmo-0.8.8-pyh6c4a22f_0.tar.bz2”h+Œ 07a02de83e387da5e5ff473799f18841”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ulmo-0.8.8-pyh6c4a22f_0.tar.bz2”h0Œ@abc4d5269f9e6a7536c9bd6a6db78b1fbed3cdaa4cd19ebd5fea30c17519386d”h2NhNh3(Œappdirs”Œbeautifulsoup4”Œfuture”Œgeojson”Œisodate”Œlxml >=4.2.3”Œnumpy”Œpandas”Œpython >=3.6”Œrequests”Œ
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r-rcppdate”h#Œ0.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-rcppdate-0.0.3-r41hc72bb7e_0.tar.bz2”h+Œ 0d2fef5535cfcc5557ce92119a94ada4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rcppdate-0.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@0530d363e68fc3acc56ff82dc8fbfa21ed651822cd95238d41441a9591fe0203”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ*ñ|*ñªhEJ‚ hFˆubh)”}”(hŒ
r-smoothie”h#Œ1.0_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-smoothie-1.0_3-r41hc72bb7e_1.tar.bz2”h+Œ 57471e3311c1c39e39d456c1b4f1458f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-smoothie-1.0_3-r41hc72bb7e_1.tar.bz2”h0Œ@c07cc5f7b8e3d4516c46469bec9ab9274c4332ed5373532834165e607a77073c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑFu°!hEJ<0 hFˆubh)”}”(hŒlibpng-devel-cos7-aarch64”h#Œ1.5.13”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libpng-devel-cos7-aarch64-1.5.13-h9d98e8f_1104.tar.bz2”h+Œ 8a187cc0bec14ad020a37c4beba009e5”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-aarch64-1.5.13-h9d98e8f_1104.tar.bz2”h0Œ@6b8b13d87e61f83830454e5c4632b76edf10ddd826f85724de01e79ec070612d”h2NhNh3Œ#libpng-cos7-aarch64 ==1.5.13 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@Œzlib”hBŒOther”hDGA×É}Äør°hEJ%Á hFˆubh)”}”(hŒlibbonobo-cos6-x86_64”h#Œ2.24.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1libbonobo-cos6-x86_64-2.24.2-h9b0a68f_105.tar.bz2”h+Œ 388ca47aa92779374bc5a18c65c29f9c”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos6-x86_64-2.24.2-h9b0a68f_105.tar.bz2”h0Œ@acab3101dcb920b70070848b386e4a332ff8f701259c512c292e9c71da7b11a7”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGAØ@UêpbNhEJý+ hFˆubh)”}”(hŒ	mdf_forge”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$mdf_forge-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5f88abee42a7568db66da6f561eb025f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/mdf_forge-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1d987e0b400387345bdf6a3a0c473fcc5869b1a0177ce64f6423504a7bbe16c4”h2NhNh3(Œglobus-sdk >=1.7.0”Œmdf_toolbox >=0.4.10”Œpip”Œpython >=3.5”Œrequests >=2.18.4”Œtqdm >=4.19.4”t”h9h?h@Œ
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qt5reactor”h#Œ0.6.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%qt5reactor-0.6.3-pyh9f0ad1d_0.tar.bz2”h+Œ 2332a6376b5220f44194930c0bd0c1b2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/qt5reactor-0.6.3-pyh9f0ad1d_0.tar.bz2”h0Œ@632faf4928b7ac4f3c975069410938e42489d891856d055e01343c470d09f1bd”h2NhNh3Œpyqt >=5”Œpython”Œtwisted”‡”h9h?h@ŒMIT”hBŒMIT”hDGA××ñ¸RhEMk-hFˆubh)”}”(hŒnbdev”h#Œ2.2.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!nbdev-2.2.10-pyhd8ed1ab_0.tar.bz2”h+Œ 148a8e9a60b30bfa806fcce6656312c7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/nbdev-2.2.10-pyhd8ed1ab_0.tar.bz2”h0Œ@8aecf152c94a024771342237adc297d5ab67295054f00b8b74b5bc9f819077c0”h2NhNh3(Œ	asttokens”Œ
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ase ~=3.18”Œmatplotlib-base ~=3.3,>=3.3.4”Œpandas !=1.4.0,!=1.4.1,!=1.4.2”Œpycifrw ~=4.4”Œ)pymatgen >=2019.7.2,<=2022.1.9,!=2019.9.7”Œpymysql ~=0.9.3”Œseekpath ~=1.9,>=1.9.3”Œspglib ~=1.14”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ³d1hEMhFˆubh)”}”(hŒr-ffield”h#Œ0.1.0”h%Œr41ha770c72_1004”h'Mìhhh(h)hŒ'r-ffield-0.1.0-r41ha770c72_1004.tar.bz2”h+Œ 965be47c2da24cbb1045e08b5f3a0d66”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ffield-0.1.0-r41ha770c72_1004.tar.bz2”h0Œ@e1295e49c39d4a4f935f01a356ac24d2bbf6ff974c7eaf89c805955c3f21d565”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gridextra”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ®ÛEVhEM$ŽhFˆubh)”}”(hŒ
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BSD”hBŒGPL2”hDGAØ@‡Ž{hEJ" hFˆubh)”}”(hŒclick”h#Œ8.1.3”h%Œwin_pyhd8ed1ab_2”h'Khhh(h)hŒ$click-8.1.3-win_pyhd8ed1ab_2.tar.bz2”h+Œ 6b58680207b526c42dcff68b543803dd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/click-8.1.3-win_pyhd8ed1ab_2.tar.bz2”h0Œ@84e80a33e9a8e5398d3e97209366b57f635462a5b894f8076ec8c95e56672c44”h2NhNh3Œ__win”Œcolorama”Œpython >=3.8”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÖU©‰7hEJÛ* hFˆubh)”}”(hŒr-broomextra”h#Œ4.3.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-broomextra-4.3.2-r41hc72bb7e_1.tar.bz2”h+Œ e63cb5fd6b0cd7113a92aa23c561a83e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-broomextra-4.3.2-r41hc72bb7e_1.tar.bz2”h0Œ@0749a3d8d77177df2494e9fa2a0ac8f4043c0dd5749d25acac79b1d3d8e86b52”h2NhNh3(Œr-base 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>=3.6,<3.7.0a0”Œr-htmlwidgets”Œr-rcolorbrewer”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ#Áýp¤hEJ× hFˆubh)”}”(hŒlibbonobo-devel-cos6-x86_64”h#Œ2.24.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ8libbonobo-devel-cos6-x86_64-2.24.2-ha826a6f_1103.tar.bz2”h+Œ 0499a19cf11ecdbbf04099c4b23ea9b4”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos6-x86_64-2.24.2-ha826a6f_1103.tar.bz2”h0Œ@84bed0c79af9657b915e10269cafc374330aec6b345c810795d681c8eb681214”h2NhNh3(Œ%libbonobo-cos6-x86_64 ==2.24.2 *_1103”Œ)libxml2-devel-cos6-x86_64 >=2.4.21 *_1103”Œ'orbit2-devel-cos6-x86_64 >=2.7.5 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Æ4±œýôhEJ¸· hFˆubh)”}”(hŒpynwb”h#Œ1.2.1”h%Œpy_0”h'K hhh(h)hŒpynwb-1.2.1-py_0.tar.bz2”h+Œ 04bb4996f27bdb275f8c5370c41e172b”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pynwb-1.2.1-py_0.tar.bz2”h0Œ@b78eb439a8e42cc7c792436057b3b5e72a83ca90481e2d26b47ef9effc344d6b”h2NhNh3(Œ
h5py >=2.9”Œhdmf 1.5.4,<2”Œnumpy >=1.16”Œpandas >=0.23”Œpython”Œpython-dateutil >=2.7”Œruamel.yaml >=0.15”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ŠQo˜å`hEM‡öhFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-ppc64le”h#Œ1.2.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ<libxscrnsaver-devel-cos7-ppc64le-1.2.2-hdf0574f_1102.tar.bz2”h+Œ 0dd9d915f120789d9b8b9f37a8992d09”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-ppc64le-1.2.2-hdf0574f_1102.tar.bz2”h0Œ@57d2f007894ae633739e987ba48ff96639e20e234791f560d65efdb521afac0d”h2NhNh3Œ)libxscrnsaver-cos7-ppc64le ==1.2.2 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ‹H£×hEM3hFˆubh)”}”(hŒr-longitudinal”h#Œ1.1.13”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-longitudinal-1.1.13-r41hc72bb7e_0.tar.bz2”h+Œ 3b0fab3790056fa61d24ee42852b682d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-longitudinal-1.1.13-r41hc72bb7e_0.tar.bz2”h0Œ@504b83f14bb9e0b7102203bbba9e73bb4b1a79b352981848dfb144556d06e1c7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-corpcor >=1.6.8”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØd­ÙhEJu† hFˆubh)”}”(hŒr-elasticnet”h#Œ1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-elasticnet-1.3-r40hc72bb7e_0.tar.bz2”h+Œ f175e86a06f621cfe2bbf945ee63b60a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elasticnet-1.3-r40hc72bb7e_0.tar.bz2”h0Œ@7d5cce0deec695562e2dfd229a2f7bf5502cb8462d4dbf3f697b42a6aacaa283”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lars”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*ì³S•hEJ¤Ò hFˆubh)”}”(hŒdarglint”h#Œ1.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#darglint-1.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ fab4468e8b04c387b540cdf7a4fbeeed”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/darglint-1.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7d61ffab1de250f22220e6bf68db412a74556acbb57105225c424994f99d0ce9”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØaYfp¤hEJþ hFˆubh)”}”(hŒ
ghp-import”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%ghp-import-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6d8d61116031a3f5b1f32e7899785866”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ghp-import-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@097d9b4c946b195800bc68f68393370049238509b08ef828c06fbf481bbc139c”h2NhNh3Œpython >=3.6”Œpython-dateutil >=2.8.1”†”h9h?h@ŒLicenseRef-Tumbolia-Public”hDGAØœLÎŸ¾hEM<hFˆubh)”}”(hŒr-dml”h#Œ1.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ!r-dml-1.1.0-r36h6115d3f_1.tar.bz2”h+Œ 124d10c9f4c2068cd41464cd13f8ab47”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dml-1.1.0-r36h6115d3f_1.tar.bz2”h0Œ@23f6a7651ce19a5c2aba34d1f8642475f3e6b717738a197373b164e52737d8dd”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-lfda”Œr-mass”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬áE-p¤hEMÍÐhFˆubh)”}”(hŒnapari-vesicles-segmentation”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7napari-vesicles-segmentation-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0b7bcf18bbfef927ce9a3fdf202b0db9”h.Œehttps://conda.anaconda.org/conda-forge/noarch/napari-vesicles-segmentation-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@aaf8f00370a9072363f7b8d84e1f97cec33bbf1123357ad483e80eb4ccada6ba”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpython >=3.8”Œqtpy”Œscikit-image”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿žÆ§ðhEMú/hFˆubh)”}”(hŒhumre”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ humre-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2f3179059ed93976eab389f5920c4eb8”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/humre-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f8a3cfa25f6015ac9301246e94e754c7586cedd5122eebebabe9030957248af0”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÃØýr-hEMäihFˆubh)”}”(hŒ
r-hmeasure”h#Œ1.0_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-hmeasure-1.0_2-r41hc72bb7e_0.tar.bz2”h+Œ 8630a8c089e8cf6fda8e69409c6def87”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hmeasure-1.0_2-r41hc72bb7e_0.tar.bz2”h0Œ@c7922596fcd6bc71752f3c9c0e05663011e78ff36f86b62337b6ecafa2c2e69f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ:urJhEJÍ
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r-inctools”h#Œ1.0.15”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ'r-inctools-1.0.15-r41hc72bb7e_2.tar.bz2”h+Œ 383453ef6cefa997377d8cac763caff4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-inctools-1.0.15-r41hc72bb7e_2.tar.bz2”h0Œ@848e601d46af520237564d680b9fe14fbe80140a70bbc0e942b2084cba814cad”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-binom”Œ
r-cubature”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glm2”Œ
r-magrittr”Œr-plyr”Œr-pracma”Œr-rlang”Œr-tibble”Œ
r-tmvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒa9|9XhEJä hFˆubh)”}”(hŒr-mvoutlier”h#Œ2.1.1”h%Œr42ha770c72_1”h'Khhh(h)hŒ'r-mvoutlier-2.1.1-r42ha770c72_1.tar.bz2”h+Œ 950bd30a1c44bb394374d2e296b76b3e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mvoutlier-2.1.1-r42ha770c72_1.tar.bz2”h0Œ@7474989e628da7ed051b202e08a2aef5d26a19806eace8badceec22bea86f567”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-robcompositions”Œr-robustbase”Œ
r-sgeostat”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÓxö»dZhEJvø hFˆubh)”}”(hŒpyro4”h#Œ4.82”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpyro4-4.82-pyhd8ed1ab_0.tar.bz2”h+Œ 7fefb710ccd25d823bb5ffda0f8c0998”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyro4-4.82-pyhd8ed1ab_0.tar.bz2”h0Œ@79e3cd3027dfd6eb913479c494853e4b1d81967a2c07ee7ad37e2e46a0fb48ba”h2NhNh3Œpython >=2.7”Œserpent >=1.27”†”h9h?h@ŒMIT”hBŒMIT”hDGAØq·±úMÓhEJ hFˆubh)”}”(hŒr-forge”h#Œ0.2.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ#r-forge-0.2.0-r35h6115d3f_1.tar.bz2”h+Œ a043954d892eb237636a22620b7dba10”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-forge-0.2.0-r35h6115d3f_1.tar.bz2”h0Œ@1df198678dc5307009177fef1044245e4f7fbfa838830abc32f4a58159cfafb7”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-magrittr”Œr-rlang >=0.3.1”‡”h9hºh@ŒApache (>= 2.0)”hBŒAPACHE”hDGA×LÓ¼(öhEMl´hFˆubh)”}”(hŒ
r-kinship2”h#Œ1.9.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-kinship2-1.9.6-r42hc72bb7e_0.tar.bz2”h+Œ bcbffe88e5429b990f56054417e4b3fa”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-kinship2-1.9.6-r42hc72bb7e_0.tar.bz2”h0Œ@166b8854c1a6291e4cc63512ecc5b6e2ffc480b61fd8a54c60770b85d4e3ab54”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-knitr”Œr-matrix”Œ
r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑfû$›¦hEJBj hFˆubh)”}”(hŒsysroot-cos7-x86_64”h#Œ2.17”h%Œ
h8a41c72_7”h'Khhh(h)hŒ+sysroot-cos7-x86_64-2.17-h8a41c72_7.tar.bz2”h+Œ 6900cf32e86f867063bb8f3250ca4cc2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h8a41c72_7.tar.bz2”h0Œ@d876cd3f298372e19f408879d09af23f585f66b7b610a4d639d32e3a03159496”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶úb´ÌÍhEMàhFˆubh)”}”(hŒr-dmwr”h#Œ0.4.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ%r-dmwr-0.4.1-r41hc72bb7e_1003.tar.bz2”h+Œ 635481a81fb76f6bb8f22a5015e66a94”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dmwr-0.4.1-r41hc72bb7e_1003.tar.bz2”h0•"      Œ@fbc6807b7867e136d12d91b64feea36b183fac8e6330eb65cf48989827397a4b”h2NhNh3(Œr-abind >=1.1_0”Œr-base >=4.1,<4.2.0a0”Œr-class >=7.3_1”Œr-lattice >=0.18_3”Œr-quantmod >=0.3_8”Œr-rocr >=1.0”Œr-rpart >=3.1_46”Œr-xts >=0.6_7”Œr-zoo >=1.6_4”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+G®2~úhEJ3 hFˆubh)”}”(hŒr-survivalsvm”h#Œ0.0.5”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-survivalsvm-0.0.5-r35h6115d3f_0.tar.bz2”h+Œ e4b30ed956249c44799b7f3b879bc0e7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survivalsvm-0.0.5-r35h6115d3f_0.tar.bz2”h0Œ@a58126164dd00e3344c946eef0b3f345538655456c655c12d93671a3e7cb4e80”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-hmisc”Œ	r-kernlab”Œr-matrix”Œr-pracma”Œ
r-quadprog”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯Â/“Æ¨hEJ¿ hFˆubh)”}”(hŒr-webdriver”h#Œ1.0.6”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ'r-webdriver-1.0.6-r36hc72bb7e_0.tar.bz2”h+Œ 6d2a0e11487b22e0cee621a71c11eb80”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-webdriver-1.0.6-r36hc72bb7e_0.tar.bz2”h0Œ@1b10ea32870c36036205960ccd0de429036a6a5ade06fd9d54a1ad1a96be9f12”h2NhNh3(Œ	phantomjs”Œr-base >=3.6,<3.7.0a0”Œr-base64enc”Œr-callr >=2.0.0”Œr-curl >=2.0”Œ	r-debugme”Œr-httr”Œ
r-jsonlite”Œr-r6”Œr-showimage”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÿ‡ëU‘hhEJd& hFˆubh)”}”(hŒ
jazz-hands”h#Œ0.0.3”h%Œpyh8a188c0_0”h'K hhh(h)hŒ%jazz-hands-0.0.3-pyh8a188c0_0.tar.bz2”h+Œ 4dee96101014b8c23f686d8051ae2b37”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jazz-hands-0.0.3-pyh8a188c0_0.tar.bz2”h0Œ@383ba94ee667e19ea3ba39ca03d5e59ec69b38d5558aed160aaa1a055ef0e5eb”h2NhNh3(Œastropy”Œextension-helpers >=0.1”Œmatplotlib-base”Œnumpy >=1.19.1”Œpython >=3.6”Œscipy >=1.5.2”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ>5r°hEJßò hFˆubh)”}”(hŒpython-hostlist”h#Œ1.21”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)python-hostlist-1.21-pyh9f0ad1d_0.tar.bz2”h+Œ f7999c1eeedb641b1fed4821aefccbda”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/python-hostlist-1.21-pyh9f0ad1d_0.tar.bz2”h0Œ@d1f87b841fb128b50267d3d5e3294e25f4b233f037ebcd6d2c47f4fd1cd38496”h2NhNh3Œpython”…”h9h?h@ŒGPL2+”hBŒGPL”hDGA×ãÉ´ÉÛ#hEM>–hFˆubh)”}”(hŒ	r-ggghost”h#Œ0.2.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-ggghost-0.2.1-r40h6115d3f_1.tar.bz2”h+Œ 7e8a9e07260646951a027c3cc74e46a3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggghost-0.2.1-r40h6115d3f_1.tar.bz2”h0Œ@bbd2808620d738961eb9ae90369c58e31ee6d30e1dac21e52ee96792c34bd8ae”h2NhNh3Œr-animation”Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGA×±ÂÍ/hEM3ôhFˆubh)”}”(hŒlibibcm-cos6-x86_64”h#Œ1.0.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libibcm-cos6-x86_64-1.0.5-ha826a6f_1103.tar.bz2”h+Œ f9bb31d8d986a2532791ac1eb0996fd7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libibcm-cos6-x86_64-1.0.5-ha826a6f_1103.tar.bz2”h0Œ@b8aa572f333af43a837052a73e4876083ebacd05cb207d67ce8316415d12dc3b”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Æ0äjhEMRhFˆubh)”}”(hŒrb-github-pages-health-check”h#Œ1.16.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ6rb-github-pages-health-check-1.16.1-hc42de5b_0.tar.bz2”h+Œ 68e4ed2a16106a61839c411a3cf9ede9”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/rb-github-pages-health-check-1.16.1-hc42de5b_0.tar.bz2”h0Œ@610088ad24abba11806c50a55412d373d17c7125fbf6ca0046dbb475bd8f2990”h2NhNh3(Œrb-addressable >=2.3,<3”Œrb-dnsruby >=1.60,<2”Œrb-octokit >=4.0,<5”Œrb-public_suffix >=3.0,<4”Œrb-typhoeus >=1.3,<2”Œruby >=2.6.3,<2.7.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×[êŸ hEMg•hFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-aarch64”h#Œ1.2.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ<libxscrnsaver-devel-cos7-aarch64-1.2.2-hdf0574f_1102.tar.bz2”h+Œ 8c8653e23796ef9ec7bdf8cfc8fea426”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-aarch64-1.2.2-hdf0574f_1102.tar.bz2”h0Œ@b0ae067b0592dd11c55e365e715e7ff6a642089ade8283beefbab2a8b60f254c”h2NhNh3Œ)libxscrnsaver-cos7-aarch64 ==1.2.2 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµÎh“uhEM$3hFˆubh)”}”(hŒpypd”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒpypd-1.1.0-py_0.tar.bz2”h+Œ 4fa2637899955c63fa38054b3fb2e17f”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/pypd-1.1.0-py_0.tar.bz2”h0Œ@29683c9b8a4eb8d00740aca270e0923c404136e91e047c5591091dfbded97230”h2NhNh3Œpython”Œrequests”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×Bëî ÅhEMfhFˆubh)”}”(hŒdatabroker-elasticsearch”h#Œ0.0.1”h%Œpy_0”h'K hhh(h)hŒ+databroker-elasticsearch-0.0.1-py_0.tar.bz2”h+Œ e6a0afa1c64265adec94e60c7e8f79b9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/databroker-elasticsearch-0.0.1-py_0.tar.bz2”h0Œ@2bbd445edc373404adf695209cf6ee679b696235b3d9b90fda6968f29b67eab3”h2NhNh3(Œbluesky”Œ
databroker”Œelasticsearch”Œ
python >=3”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×  ¸Ú-hEMí)hFˆubh)”}”(hŒlibibumad-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libibumad-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h+Œ d98439ec3b76557219155ef6997e6242”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-aarch64-22.4-h9d98e8f_104.tar.bz2”h0Œ@74db15c8cb088c178f2d9fb614a9c34bd057bd6b9dcf613ca7b667bf13b9bffc”h2NhNh3Œ#rdma-core-cos7-aarch64 ==22.4 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Ézˆ1º^hEMËzhFˆubh)”}”(hŒkernel-headers_linux-64”h#Œ2.6.32”h%Œh77966d4_12”h'Khhh(h)hŒ2kernel-headers_linux-64-2.6.32-h77966d4_12.tar.bz2”h+Œ 0de860d6e6eaa27822982363accbb074”h.Œ`https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-2.6.32-h77966d4_12.tar.bz2”h0Œ@b3b7752d9bcb599c9bb1600dd899cfc5aa115e2cbc3a12be344aa8b9910d9d3a”h2NhNh3)h6Œsysroot_linux-64 ==2.12”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×Ç †—hEJð
 hFˆubh)”}”(hŒpango-devel-cos7-aarch64”h#Œ1.42.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4pango-devel-cos7-aarch64-1.42.4-h9b0a68f_105.tar.bz2”h+Œ 1c0c5569725935ec98b84872a7e61fb4”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos7-aarch64-1.42.4-h9b0a68f_105.tar.bz2”h0Œ@77f091f80116bbe188e1014bb915d32376cb8a99a4f89071ac6c85648e67d9bf”h2NhNh3(Œ(cairo-devel-cos7-aarch64 >=1.12.10 *_105”Œ-fontconfig-devel-cos7-aarch64 >=2.11.91 *_105”Œ)freetype-devel-cos7-aarch64 >=2.1.5 *_105”Œ'glib2-devel-cos7-aarch64 >=2.56.1 *_105”Œ!pango-cos7-aarch64 ==1.42.4 *_105”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@`D,ýôhEJÉ” hFˆubh)”}”(hŒvapeplot”h#Œ0.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#vapeplot-0.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ de93995b68868ebf3cf0c6b1d0cf638f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/vapeplot-0.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@58706a855bfcb5b579d444bcbf186168aaa57cddca5d69d9199ab57548d199e4”h2NhNh3Œmatplotlib-base”Œnumpy”Œpython >=3.7”‡”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØÁ3lÌÍhEMò@hFˆubh)”}”(hŒpyke”h#Œ1.1.1”h%Œpyhd8ed1ab_1004”h'Mìhhh(h)hŒ"pyke-1.1.1-pyhd8ed1ab_1004.tar.bz2”h+Œ 5f0236abfbb6d53826d1afed1e64f82e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pyke-1.1.1-pyhd8ed1ab_1004.tar.bz2”h0Œ@9085ecac415aeabc129bd8cb059a8689b98e4badad4968c795aeb9406c40e5fa”h2NhNh3Œ
python >=3”…”h9h?h@ŒMIT”hBŒMIT”hDGA×íLsžÈ´hEJ‹ hFˆubh)”}”(hŒat-spi-cos6-x86_64”h#Œ1.28.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/at-spi-cos6-x86_64-1.28.1-h9b0a68f_1105.tar.bz2”h+Œ 91f4c19b1163b6ba9f47bb9888ccfaa2”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos6-x86_64-1.28.1-h9b0a68f_1105.tar.bz2”h0Œ@d894b49c00d35cd2e58d25282f020bcc7d0e02ecbf3bc05dd1bd2c5750aee3d0”h2NhNh3(Œatk-cos6-x86_64 >=1.13.0 *_1105”Œ gtk2-cos6-x86_64 >=2.10.0 *_1105”Œ$libbonobo-cos6-x86_64 >=2.4.0 *_1105”Œ!orbit2-cos6-x86_64 >=2.6.0 *_1105”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@_n{÷ÏhEJHº hFˆubh)”}”(hŒlibselinux-cos7-aarch64”h#Œ2.5”h%Œ
h1341992_0”h'K hhh(h)hŒ.libselinux-cos7-aarch64-2.5-h1341992_0.tar.bz2”h+Œ 8b738a9b88d42d72bead8525bc332ad5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-aarch64-2.5-h1341992_0.tar.bz2”h0Œ@eb2b26088eef718fe1c141c6499eec70c985d6088323577536b13a23f67f8d4a”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×ZDÇqë…hEJÀ„ hFˆubh)”}”(hŒ
r-solarius”h#Œ0.3.0.2”h%Œ	r351_1000”h'Mèhhh(h)hŒ$r-solarius-0.3.0.2-r351_1000.tar.bz2”h+Œ 90f207c843d08db36481da2dbf2ce2dd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-solarius-0.3.0.2-r351_1000.tar.bz2”h0Œ@fc9765621125a6c86ac0a2712e4dfc3ad38eef323c0a3e6c638dd759aa522faf”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-data.table”Œ	r-ggplot2”Œr-plyr >=1.8.1”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖýïäŠJhEJ¯×
 hFˆubh)”}”(hŒstarsessions”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'starsessions-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 667d08040a85d7ea1c6d4af2290f96c4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/starsessions-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4a500ac0a9fe56cee7958d6d0f6530272c43ee4c16c52600001decb39fe3cd59”h2NhNh3Œitsdangerous >=2.0.1”Œpython >=3.6.2”Œstarlette >=0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ¼U¨ ÅhEM4hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy38h1234567_6”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py38h1234567_6.tar.bz2”h+Œ 382bde88f193c202a50d25f32ecb0531”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py38h1234567_6.tar.bz2”h0Œ@7e1213ad66c4d9d52f07fe4886acd3a5398da2522450c6f4fc7940eaf1efa178”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.16.*”t”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×’83rJhEJ?~ hFˆubh)”}”(hŒdjango-apptemplates”h#Œ1.5”h%Œpyh8c360ce_0”h'K hhh(h)hŒ,django-apptemplates-1.5-pyh8c360ce_0.tar.bz2”h+Œ c233d527949b7879532a90f35fb80407”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/django-apptemplates-1.5-pyh8c360ce_0.tar.bz2”h0Œ@87528201415fdc5128b055aded45f822e3b74ea340f8ea767eba495618e50aa6”h2NhNh3Œdjango”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×š8ÜhEM/"hFˆubh)”}”(hŒ
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r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ¸žkohEM”€hFˆubh)”}”(hŒr-concaveman”h#Œ1.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-concaveman-1.1.0-r40hc72bb7e_0.tar.bz2”h+Œ cace238b2750c45cb2881f6aaf024518”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-concaveman-1.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@c320a90cfacdb0f6c531d4d3e58cbd5394c0aa275deba76a45bded580f71879a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ
r-jsonlite”Œ
r-magrittr”Œr-sf”Œr-v8”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+êã•hEJ_à hFˆubh)”}”(hŒpdvega”h#Œ0.1”h%Œpy_0”h'K hhh(h)hŒpdvega-0.1-py_0.tar.bz2”h+Œ 776fc564406662037e99efa8e05a449b”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/pdvega-0.1-py_0.tar.bz2”h0Œ@73dc5eca40c1d5a1c377e3f3f05144f0d4d5f843137357f43210012648243999”h2NhNh3(Œipython”Œpandas”Œpython”Œvega3”t”h9h?h@ŒMIT”hBŒMIT”hDGA×RÏ…Òn˜hEM¡¢hFˆubh)”}”(hŒr-btyd”h#Œ2.4.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-btyd-2.4.3-r41hc72bb7e_0.tar.bz2”h+Œ 3958e45c75b16d4820f7de626171063d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-btyd-2.4.3-r41hc72bb7e_0.tar.bz2”h0Œ@5c3ebc01affc5ed21d11525bf267c70d6a112189aeff811197f9b42ee7f65154”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-hypergeo”Œr-matrix”Œr-optimx”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØepÕãdZhEJlB hFˆubh)”}”(hŒ
r-medrxivr”h#Œ0.0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-medrxivr-0.0.5-r41hc72bb7e_1.tar.bz2”h+Œ c16dadb8436bc45ff8bde111f175127d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-medrxivr-0.0.5-r41hc72bb7e_1.tar.bz2”h0Œ@c1f7362b4326a65554dd04ff4d992007aa16c0d34cfa1d7c0fbc22bc3d01a67b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bib2df”Œr-curl”Œr-data.table”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ
r-progress”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”Œr-vroom”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒRðpQìhEJ3§ hFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libx11-cos6-x86_64-1.6.4-h9d98e8f_1104.tar.bz2”h+Œ 56ca2f586e6e664bd7054a2729010306”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-h9d98e8f_1104.tar.bz2”h0Œ@176092a4d22221c66c6fa8d8cd4b01c60cc7310784339b37df64a76dcdf77eb3”h2NhNh3Œ(libx11-common-cos6-x86_64 ==1.6.4 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|§åhEJ} hFˆubh)”}”(hŒmyst-parser”h#Œ0.18.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'myst-parser-0.18.1-pyhd8ed1ab_0.tar.bz2”h+Œ bcfdf5c7d8bf5c6f6be7b4c66fff2eca”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/myst-parser-0.18.1-pyhd8ed1ab_0.tar.bz2”h0Œ@260812a430adee3598103d75704c1c855a9816a3895971ca0190d0f5e1e8165a”h2NhNh3(Œdocutils >=0.15,<0.20”Œjinja2”Œmarkdown-it-py >=1.0.0,<3.0.0”Œmdit-py-plugins >=0.3.1,<1”Œpython >=3.7”Œpyyaml”Œsphinx >=4,<6”Œtyping-extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÌÐ
=hEM+ÀhFˆubh)”}”(hŒr-cghflasso”h#Œ0.2_1”h%Œr42hc72bb7e_1006”h'Mîhhh(h)hŒ*r-cghflasso-0.2_1-r42hc72bb7e_1006.tar.bz2”h+Œ 45c5acc07a00b49acb8cc29cab8f8af6”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-cghflasso-0.2_1-r42hc72bb7e_1006.tar.bz2”h0Œ@ee751713c67212de9cb7cd1f84d21325a9caeee099562e7b2f8599ec89c1d608”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒœ-ÄœhEJ@ hFˆubh)”}”(hŒblah-026305”h#Œ2022.06.02.15.09.01”h%Œpy_0”h'K hhh(h)hŒ,blah-026305-2022.06.02.15.09.01-py_0.tar.bz2”h+Œ c5ee2f2471447928154ae10b4b137b6e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/blah-026305-2022.06.02.15.09.01-py_0.tar.bz2”h0Œ@64e3de234cb60e2f8e731f5fef35dc0be2c56fc0c22a4543f3372c4c1e38e72b”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¦4Í»¥ãhEMÊhFˆubh)”}”(hŒ
r-corrgram”h#Œ1.14”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-corrgram-1.14-r42hc72bb7e_1.tar.bz2”h+Œ a655582f273a5cffaac98ff71264c72f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-corrgram-1.14-r42hc72bb7e_1.tar.bz2”h0Œ@3bde271bb36fbf187d99048f2cd63c14192a658e07be0911d0882856469c95df”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ“†èr°hEJQª hFˆubh)”}”(hŒmesa-dri1-drivers-cos6-x86_64”h#Œ7.11”h%Œh9d98e8f_104”h'Khhhh(h)hŒ7mesa-dri1-drivers-cos6-x86_64-7.11-h9d98e8f_104.tar.bz2”h+Œ a851823ef1f63744b7175eea8f732d08”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-dri1-drivers-cos6-x86_64-7.11-h9d98e8f_104.tar.bz2”h0Œ@f046229c82ae81a1b719e9825df88e784781a4b92dc76b004af18a98dc4af204”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉxÙ­hEJŽíD hFˆubh)”}”(hŒgtkmm24-devel-cos6-x86_64”h#Œ2.18.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6gtkmm24-devel-cos6-x86_64-2.18.2-h9d98e8f_1104.tar.bz2”h+Œ 149b837e7d9c9823fb8f0e858e91f1ac”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos6-x86_64-2.18.2-h9d98e8f_1104.tar.bz2”h0Œ@88fe65f12d4d1987831ade95a6482262ffc77e720cd1fcca72c6c78a7d6f04dc”h2NhNh3Œ#gtkmm24-cos6-x86_64 ==2.18.2 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É|ß?¾whEJ£– hFˆubh)”}”(hŒcrayons”h#Œ0.4.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"crayons-0.4.0-pyh9f0ad1d_0.tar.bz2”h+Œ d0df2a57f06649501b2795cac250f633”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/crayons-0.4.0-pyh9f0ad1d_0.tar.bz2”h0Œ@88e55ba231652a09cd6ffa23d645d75e2db6772065807ca97d6b4abc3e4a2183”h2NhNh3Œcolorama”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ÑûÅÃt¼hEMùhFˆubh)”}”(hŒr-prettycode”h#Œ1.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ(r-prettycode-1.1.0-r40h6115d3f_1.tar.bz2”h+Œ aa86b2e19f7f45a1d017994bba50b658”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-prettycode-1.1.0-r40h6115d3f_1.tar.bz2”h0Œ@c93ff91bdf3bdaa7eadf1e1e4dee5fea717b10f82a25fd96aa33a58fac64fef1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-withr”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×«õ®1'hEJrå hFˆubh)”}”(hŒpango-devel-cos6-x86_64”h#Œ1.28.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4pango-devel-cos6-x86_64-1.28.1-hdf0574f_1102.tar.bz2”h+Œ 3b347d82ad859f0d026f00995217620d”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/pango-devel-cos6-x86_64-1.28.1-hdf0574f_1102.tar.bz2”h0Œ@9d14975ef5c35d25c4fb436c6dee7e25674f1f44ed41f97ed3a0cb356648d65b”h2NhNh3(Œ&cairo-devel-cos6-x86_64 >=1.7.6 *_1102”Œ)fontconfig-devel-cos6-x86_64 >=2.6 *_1102”Œ)freetype-devel-cos6-x86_64 >=2.1.3 *_1102”Œ'glib2-devel-cos6-x86_64 >=2.17.3 *_1102”Œ!pango-cos6-x86_64 ==1.28.1 *_1102”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅjcQ‰7hEJ}d hFˆubh)”}”(hŒmpl_plotter”h#Œ5.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&mpl_plotter-5.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ dd0a6b1e6c76412c74fb8bd3f3314a7c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/mpl_plotter-5.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c71457b53b6fa8c664ff641a974db907caef7db3c8161f39ca42d26bb0f2f13f”h2NhNh3(Œmatplotlib-base >=3.5.2”Œnumpy >=1.19.5”Œpandas >=1.1.5”Œpyqt”Œpython >=3.6”Œtoml >=0.10.1”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØØsXYhshEMÇâhFˆubh)”}”(hŒjson-cfg”h#Œ0.4.2”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ#json-cfg-0.4.2-pyhd8ed1ab_2.tar.bz2”h+Œ 34633ae358f2d15726e0ed7377d242b9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/json-cfg-0.4.2-pyhd8ed1ab_2.tar.bz2”h0Œ@f322c84750794a286155990dff663af0098c462c21510441f671d0cc8929a3dc”h2NhNh3Œkwonly-args >=1.0.7”Œpython >=2.6,<3|>=3.3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØòÊ— hEM›}hFˆubh)”}”(hŒr-bigmemory.sri”h#Œ0.1.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ+r-bigmemory.sri-0.1.6-r42hc72bb7e_0.tar.bz2”h+Œ 07fcf7c347a0839f48241b3321fcf4e9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-bigmemory.sri-0.1.6-r42hc72bb7e_0.tar.bz2”h0Œ@6c11de95515beb6df516d3a3062cc1a0bd3dce82a5f78153d0549dbe7134f8ae”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-3.0-only OR Apache-2.0”hBŒLGPL”hDGAØÛc/hEM[hFˆubh)”}”(hŒr-collateral”h#Œ0.5.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-collateral-0.5.2-r42hc72bb7e_1.tar.bz2”h+Œ 408249b069436df793e93e670cba4ab9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-collateral-0.5.2-r42hc72bb7e_1.tar.bz2”h0Œ@ea8692f32afd557ca80384eadd93828fb2a8eef32a9f88071bc3f1a6bd0033ca”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-pillar”Œr-purrr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ“ûŸ hEJQˆ hFˆubh)”}”(hŒr-obistools”h#Œ0.0.10”h%Œr41hd8ed1ab_1”h'Khhh(h)hŒ(r-obistools-0.0.10-r41hd8ed1ab_1.tar.bz2”h+Œ fd804d966b3fca42a5b973ad01bf7354”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-obistools-0.0.10-r41hd8ed1ab_1.tar.bz2”h0Œ@ead58c333829eac348c164aa877ce5943bf00a32812c3dc8ee6b54e784eb49ec”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cowplot”Œr-data.tree”Œr-digest”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œr-httr”Œ
r-jsonlite”Œr-knitr”Œ	r-leaflet”Œr-maps”Œ
r-rappdirs”Œr-raster”Œr-rgdal”Œr-rgeos”Œr-rmarkdown”Œr-sf”Œr-sp”Œ	r-stringr”Œr-tidyr”Œr-worrms”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒN<‰%hEJ³ hFˆubh)”}”(hŒibacm-cos7-ppc64le”h#Œ22.4”h%Œha826a6f_103”h'Kghhh(h)hŒ,ibacm-cos7-ppc64le-22.4-ha826a6f_103.tar.bz2”h+Œ 51aafd15d17e8edd3a2ce9a7f3666881”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-ppc64le-22.4-ha826a6f_103.tar.bz2”h0Œ@153991642d6a6c0bca8b878e22b1c80fb4366be76320cb4096fe7242ad8a66c1”h2NhNh3Œ#libibumad-cos7-ppc64le ==22.4 *_103”Œ$libibverbs-cos7-ppc64le ==22.4 *_103”Œ#rdma-core-cos7-ppc64le ==22.4 *_103”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,ÕRÀƒhEJHw hFˆubh)”}”(hŒde-feiertage”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'de-feiertage-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ bfdfc5e76b988f7cd93a8490852840fa”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/de-feiertage-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@dd72762335ec6911f451346886c085e44f6c0fec2ffcacbc1f21c17959e32d06”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œurllib3 >=1.25.3”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÍ¸‘7+hEM¨¨hFˆubh)”}”(hŒrb-jekyll-seo-tag”h#Œ2.6.1”h%Œ
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asf_search”Œgdal”Œhyp3_sdk”Œipython”Œ
ipywidgets”Œmatplotlib-base”Œnumpy”Œpandas”Œpyproj”Œpython >=3.8”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØi æ8ÄœhEM8hFˆubh)”}”(hŒr-prettygraphs”h#Œ2.1.6”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ*r-prettygraphs-2.1.6-r41hc72bb7e_3.tar.bz2”h+Œ c6777696f40e19d7e74edbb4105300d2”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-prettygraphs-2.1.6-r41hc72bb7e_3.tar.bz2”h0Œ@d3186d1074d513ebc3139abd6d340fe31b2b8d6728dcedbba80055bcc0454c85”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑÑþhEJ¯z hFˆubh)”}”(hŒ
r-textstem”h#Œ0.1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-textstem-0.1.4-r41hc72bb7e_1.tar.bz2”h+Œ d995008ba63dddb48a2350957f738598”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-textstem-0.1.4-r41hc72bb7e_1.tar.bz2”h0Œ@3ef54e27e9e85757493fb011b84138587b4266da77f1265e578b4812d7b3c20d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-hunspell”Œr-korpus”Œr-korpus.lang.en”Œr-lexicon >=0.4.1”Œr-quanteda >=0.99.12”Œr-snowballc”Œ	r-stringi”Œr-textclean”Œr-textshape”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+ÀeºMÓhEJú. hFˆubh)”}”(hŒtinyrpc”h#Œ1.0.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"tinyrpc-1.0.4-pyh9f0ad1d_0.tar.bz2”h+Œ 9e5e3738c9d4701f6ba8c4d5545b613a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tinyrpc-1.0.4-pyh9f0ad1d_0.tar.bz2”h0Œ@d4a54c063ffc35896cb2ee468871ea9171fabfb737f4bc1b6e6ce28167937a31”h2NhNh3Œpython”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Þâ³„¬hEM€hhFˆubh)”}”(hŒlibsepol-devel-cos7-aarch64”h#Œ2.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libsepol-devel-cos7-aarch64-2.5-ha826a6f_1103.tar.bz2”h+Œ efe747384fa63f50ef4f3ecfc9c2433a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-aarch64-2.5-ha826a6f_1103.tar.bz2”h0Œ@8dcf49fa3455802d662c6d71ea5181404274eaaa5766df7389d5b0d5d9d381cc”h2NhNh3Œ"libsepol-cos7-aarch64 ==2.5 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1ÛÆ¨hEMœ®hFˆubh)”}”(hŒ	r-ngramrr”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-ngramrr-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ a1dae85431a6cef43a184e44437c3e49”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ngramrr-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@cc5216c6f3958007b0e2d2f030ba39b00ebf9d0edefb9f89d8a3cf159a903d73”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-tau”Œr-tm”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØK4&éhEM6qhFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ'r-mcpan-1.1_21-r41hc72bb7e_1002.tar.bz2”h+Œ 0b4d0840cc6fddbb5d9f636065c0c2a4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r41hc72bb7e_1002.tar.bz2”h0Œ@35dff7e35b30335ac884f7fc4c4af23d6e9285e4caa3009941150e8d59a8c207”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+G 0ÄœhEJåÞ hFˆubh)”}”(hŒyaqd-seabreeze”h#Œ2022.5.0”h%Œpyh8a188c0_0”h'K hhh(h)hŒ,yaqd-seabreeze-2022.5.0-pyh8a188c0_0.tar.bz2”h+Œ 6fe3c860ac601b7e9c5978eacdb7e6b7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/yaqd-seabreeze-2022.5.0-pyh8a188c0_0.tar.bz2”h0Œ@96f075881f0ece09ae96d90c989933b188e6b8cc83035ef7a05d9736f6973f97”h2NhNh3(Œnumpy”Œpython >=3.7”Œpyusb”Œ	seabreeze”Œyaqd-core >=2021.3.0”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØœ¢³×
hEMP3hFˆubh)”}”(hŒlibdrm-devel-cos7-x86_64”h#Œ2.4.97”h%Œh1795305_1101”h'MMhhh(h)hŒ5libdrm-devel-cos7-x86_64-2.4.97-h1795305_1101.tar.bz2”h+Œ d6b869809697dcf8f3d7b0239bc3b7a1”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-x86_64-2.4.97-h1795305_1101.tar.bz2”h0Œ@1f9ddd4af89d1e00d0d7d5c1835768cd81cd634d680ebcfd022c672b3db28d3b”h2NhNh3Œ#kernel-headers-cos7-x86_64 >=2.6.27”Œlibdrm-cos7-x86_64 2.4.97”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Åj{¥ãhEJû  hFˆubh)”}”(hŒsubby”h#Œ0.1.7”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ subby-0.1.7-pyh9f0ad1d_0.tar.bz2”h+Œ ed047a9e30a41970c5637b222faba1ed”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/subby-0.1.7-pyh9f0ad1d_0.tar.bz2”h0Œ@52687e398754b2f685de1be0f418d00b1576a72568031839bdc03b23c5a4bc04”h2NhNh3Œpython”…”h9h?h@ŒApache Software”hBŒAPACHE”hDGA×Ï\˜ÔþhEMcHhFˆubh)”}”(hŒfreephil”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#freephil-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 029787f194a7af35f768cc0eb547e92c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/freephil-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@979ce6d86ab3add030894e7a439f8b7b13b5c00f0705a81e36172065a7db29cb”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@Œ"BSD-3-Clause AND BSD-3-Clause-LBNL”hDGA×ðë¶FhEM%—hFˆubh)”}”(hŒlibxml2-devel-cos7-ppc64le”h#Œ2.9.1”h%Œha826a6f_103”h'Kghhh(h)hŒ5libxml2-devel-cos7-ppc64le-2.9.1-ha826a6f_103.tar.bz2”h+Œ 6112190926dafb37e0c8168aebcedd03”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-ppc64le-2.9.1-ha826a6f_103.tar.bz2”h0Œ@431143c0c3d4947d817e019354f13dd9f6882cc8ba54f2f1d6d6c9999da6a147”h2NhNh3Œ"libxml2-cos7-ppc64le ==2.9.1 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0ouOßhEJúˆ hFˆubh)”}”(hŒlibbonobo-cos7-x86_64”h#Œ2.32.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libbonobo-cos7-x86_64-2.32.1-h9b0a68f_1105.tar.bz2”h+Œ e94c230269c7a2f20dee6f188dfbcf43”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-x86_64-2.32.1-h9b0a68f_1105.tar.bz2”h0Œ@e9f301802f354cc22231556cb312fecfaa810c3851a34120b4eea9a27112df0a”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGAØ@g_Ú-hEJKÍ hFˆubh)”}”(hŒlibuuid-devel-cos7-aarch64”h#Œ2.23.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libuuid-devel-cos7-aarch64-2.23.2-h9d98e8f_1104.tar.bz2”h+Œ 3fb28573b5c5add7bbf2c2784e87ff55”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos7-aarch64-2.23.2-h9d98e8f_1104.tar.bz2”h0Œ@09d931b63b47a7f4533de3e7a3ef7e989ca1d4af49a8240c4d086e5eb525395f”h2NhNh3Œ$libuuid-cos7-aarch64 ==2.23.2 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×É{æG®hEMHXhFˆubh)”}”(hŒlibxinerama-cos6-x86_64”h#Œ1.1.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3libxinerama-cos6-x86_64-1.1.3-h9b0a68f_1105.tar.bz2”h+Œ e16030d74e5bf4296fb9051d8ecf0722”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos6-x86_64-1.1.3-h9b0a68f_1105.tar.bz2”h0Œ@00b450093e9384a80420743f2b07fe10115aa0bfc7f930af41a3c28211827546”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\S›"ÑhEMð%hFˆubh)”}”(hŒr-xtractomatic”h#Œ3.4.2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ*r-xtractomatic-3.4.2-r36h6115d3f_2.tar.bz2”h+Œ ac1cbb2e2a6c5b07a929abb0a553a80d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-xtractomatic-3.4.2-r36h6115d3f_2.tar.bz2”h0Œ@4593b3785f8058fed4c92d9a98fcad454b0842adbd8d9a86abf9834d24bfc778”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-httr”Œr-ncdf4”Œr-readr”Œr-sp”t”h9hºh@ŒCC0”hBŒCC”hDGA×¬%VJ¬hEJ7+ hFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ&r-registry-0.5_1-r36h6115d3f_2.tar.bz2”h+Œ f8c899dab2da63ce02a49baa07def6f5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r36h6115d3f_2.tar.bz2”h0Œ@b9499dc60d6140a56e4974106349b8ea02ea3a356a9a66856128356a9885ea15”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«Ðõ;ohEJn1 hFˆubh)”}”(hŒ	r-treesim”h#Œ2.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-treesim-2.4-r42hc72bb7e_2.tar.bz2”h+Œ cdf34d343404cc40be4f41349e668527”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-treesim-2.4-r42hc72bb7e_2.tar.bz2”h0Œ@600623ffc3d04fcdc3d1c1b50a6702694d555e40767755a99d48a1f6c138ae83”h2NhNh3Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-geiger”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑö³"ÑhEJç hFˆubh)”}”(hŒghapi”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ ghapi-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 133330ff35d15caee4073a863ffd2b6c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ghapi-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@360c62e2b526c3016677ec90bee04927abb71a45978c542a09d85d8b6cc14e48”h2NhNh3(Œfastcore”Œ	packaging”Œpip”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÌWòùG®hEMüÏhFˆubh)”}”(hŒr-import”h#Œ1.1.0”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ(r-import-1.1.0-r351h6115d3f_1000.tar.bz2”h+Œ 921dae088dc11bd0f2155e5d62bc8c72”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-import-1.1.0-r351h6115d3f_1000.tar.bz2”h0Œ@d34aeb3084b8b353affa3d1ff4d8130ca583fbd3c31ab47a679d2a6ab800c6c2”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×
4þ"^5hEJ£ hFˆubh)”}”(hŒr-chemometricswithr”h#Œ0.1.13”h%Œr40h6115d3f_2”h'Khhh(h)hŒ0r-chemometricswithr-0.1.13-r40h6115d3f_2.tar.bz2”h+Œ 65fbcd4bd2c58f3ffaa537bfb83dea40”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-chemometricswithr-0.1.13-r40h6115d3f_2.tar.bz2”h0Œ@967ce11422b9b3d08cd26b7ab23f1ba41ead43d9377dbb4898aedf9a458cef72”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-devtools”Œ	r-kohonen”Œr-mass”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬öó’Ÿ¾hEJÂh hFˆubh)”}”(hŒdvc-webhdfs”h#Œ2.19.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dvc-webhdfs-2.19.0-pyhd8ed1ab_0.tar.bz2”h+Œ f589904e56d7363e5d856247001a3f1f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dvc-webhdfs-2.19.0-pyhd8ed1ab_0.tar.bz2”h0Œ@15023aecd8c25243f20c61a73ee4727847976a1764f58643746ca9cb7d71f2da”h2NhNh3Œdvc”Œpython >=3.8”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÁñ7l‹hEMÔ5hFˆubh)”}”(hŒ	r-rentrez”h#Œ1.2.3”h%Œr36h785f33e_0”h'K hhh(h)hŒ%r-rentrez-1.2.3-r36h785f33e_0.tar.bz2”h+Œ 9c5b34fdc59a167195635d0d43dcb573”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rentrez-1.2.3-r36h785f33e_0.tar.bz2”h0Œ@9223fbc4734b10d99d7cde105112cbe2392516796703560e0b396b6c6f9d1163”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-httr >=0.5”Œr-jsonlite >=0.9”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ë1¥ãhEJl; hFˆubh)”}”(hŒ	torchinfo”h#Œ1.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$torchinfo-1.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ a4325ca04ad5051233311eab6ca13d00”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/torchinfo-1.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7b953323cfe0a7ddbd7610aace56a3115122f9f8490ec5844dcd5d3e08ac2818”h2NhNh3Œpython >=3.6”Œpytorch >=1.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¤¸ÕVhEMUVhFˆubh)”}”(hŒr-aws.signature”h#Œ0.6.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-aws.signature-0.6.0-r42hc72bb7e_1.tar.bz2”h+Œ 740516ea340239ae0e885f1f1ef548a8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-aws.signature-0.6.0-r42hc72bb7e_1.tar.bz2”h0Œ@c9db6295e9cc0ca7f6c2681ca202085fb5654427d474ce2d77363bc7846b471c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œr-digest”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ9¿ùhshEJph hFˆubh)”}”(hŒlibx11-common-cos7-aarch64”h#Œ1.6.7”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libx11-common-cos7-aarch64-1.6.7-h9b0a68f_1105.tar.bz2”h+Œ 4d6e9852095eaf2b6dc626c6f23ea728”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-aarch64-1.6.7-h9b0a68f_1105.tar.bz2”h0Œ@b51d068a4b2456b44154cc0934d7276915edfa57bbb8b427a6586678055efba6”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŠvÉhEJÿ3 hFˆubh)”}”(hŒallennlp-optuna”h#Œ0.1.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*allennlp-optuna-0.1.7-pyhd8ed1ab_0.tar.bz2”h+Œ d6cfbcc9db1365196fe84e8d3fbe8f82”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/allennlp-optuna-0.1.7-pyhd8ed1ab_0.tar.bz2”h0Œ@7d074a28e9fc5d2b60b160bdca5c37d7dba216212a45fdd51d2e381e00a99db8”h2NhNh3Œallennlp >=2,<3”Œoptuna >=2.6,<3”Œpython >=3.6.1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØg}Ž\ýôhEMæ.hFˆubh)”}”(hŒr-multipanelfigure”h#Œ2.1.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ.r-multipanelfigure-2.1.2-r41hc72bb7e_2.tar.bz2”h+Œ 02bb0a45aee622c32d3575b3e21cf989”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-multipanelfigure-2.1.2-r41hc72bb7e_2.tar.bz2”h0Œ@09ccc8f0645887bb3debf4d37e15c30905eaa27aff70df22c8790d7bc4f31718”h2NhNh3(Œr-assertive.base >=0.0_7”Œr-assertive.files >=0.0_2”Œr-assertive.numbers >=0.0_2”Œr-assertive.properties >=0.0_4”Œr-assertive.types >=0.0_3”Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=2.2.1”Œr-gridgraphics >=0.3_0”Œr-gtable >=0.2.0”Œr-magick >=1.9”Œr-magrittr >=1.5”Œr-stringi >=1.2.3”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÒLàct¼hEJå¾) hFˆubh)”}”(hŒlibglvnd-cos7-ppc64le”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libglvnd-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h+Œ ff520402f2a6a417e15e31a5101f95cf”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libglvnd-cos7-ppc64le-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@896eb0bce1646ed2b225d7386417346457d8eade641cda897196d315a16b4c47”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡c
-hEJÂö hFˆubh)”}”(hŒr-dml”h#Œ1.1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ!r-dml-1.1.0-r35h6115d3f_0.tar.bz2”h+Œ dc57f9a9d714963ed83471895f5b8b39”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dml-1.1.0-r35h6115d3f_0.tar.bz2”h0Œ@d103861d6744bb020618dd8a95c96572a588bc9432d7814438d335fcf5bd6eec”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-lfda”Œr-mass”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×pPúÑûçhEM2ÎhFˆubh)”}”(hŒr-tcltk2”h#Œ1.2_11”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ(r-tcltk2-1.2_11-r40ha770c72_1002.tar.bz2”h+Œ 152c900b303ef39d1d0487969f6b4337”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tcltk2-1.2_11-r40ha770c72_1002.tar.bz2”h0Œ@646ff4a48a5700fcae745bd92f026494a484361f1352e14c37dbeefc679153f7”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ*ìŒ­p¤hEJB hFˆubh)”}”(hŒr-unbalanced”h#Œ2.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-unbalanced-2.0-r40hc72bb7e_1.tar.bz2”h+Œ a8f4484a8aeb2aa223c79237df4af98e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-unbalanced-2.0-r40hc72bb7e_1.tar.bz2”h0Œ@cdb49409bcc7c0e0a9e3fcb2fa82864d8d718f819f7d0a471c1f7f2c5efaa034”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-doparallel”Œr-fnn”Œ	r-foreach”Œr-mlr”Œr-rann”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ,š Ñ™šhEJêk hFˆubh)”}”(hŒr-ggpointless”h#Œ0.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-ggpointless-0.0.3-r42hc72bb7e_1.tar.bz2”h+Œ 80adcf215de041974bc414080434749a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ggpointless-0.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@2675c730e4ca8f8c2db9edeb823eca86eb76226822cd15b9bc9148caadb3b62d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.3.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒqé™šhEJI… hFˆubh)”}”(hŒperl-test-exception”h#Œ0.43”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ1perl-test-exception-0.43-pl5321hd8ed1ab_0.tar.bz2”h+Œ 022f65da70a23dcc21b9120d18ed4ca8”h.Œ_https://conda.anaconda.org/conda-forge/noarch/perl-test-exception-0.43-pl5321hd8ed1ab_0.tar.bz2”h0Œ@5e3d992b7f8558b97679d70450620a4034b741482f05765e6ff80a8d5de03d51”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-sub-uplevel”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÀð'¾whEM˜QhFˆubh)”}”(hŒ	markdown2”h#Œ2.3.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$markdown2-2.3.9-pyhd8ed1ab_0.tar.bz2”h+Œ 86bd7513f339b73f87a5b6623c6c6dce”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/markdown2-2.3.9-pyhd8ed1ab_0.tar.bz2”h0Œ@100d7605878e8e93ffb80ffec9c530c7f780bf64946fd48215b1c6c4ffa5dd5b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØYÓy‘XhEMª‚hFˆubh)”}”(hŒr-objectsignals”h#Œ0.10.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-objectsignals-0.10.3-r41hc72bb7e_0.tar.bz2”h+Œ eb2cef592f1bbf694a587714e928b089”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-objectsignals-0.10.3-r41hc72bb7e_0.tar.bz2”h0Œ@72a57ffad9fc940235002e1a517730aacff5a2a481a8aa17e857a7ed567f20b5”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ“äPÄœhEJ)w hFˆubh)”}”(hŒr-psychotree”h#Œ0.16_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-psychotree-0.16_0-r41hc72bb7e_1.tar.bz2”h+Œ cc42c1174c1835f41db95ca0ab66645d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-psychotree-0.16_0-r41hc72bb7e_1.tar.bz2”h0Œ@34ccac939527df4754843505347789c5af41ec07f5c94aa6c97b79968c80ebfe”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-formula”Œr-partykit >=0.8_4”Œr-psychotools >=0.4_0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ·ðmãThEJ_’ hFˆubh)”}”(hŒlibjpeg-turbo-cos7-aarch64”h#Œ1.2.90”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libjpeg-turbo-cos7-aarch64-1.2.90-h9d98e8f_104.tar.bz2”h+Œ 867676994a0488ad960f6fb56a3df558”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-aarch64-1.2.90-h9d98e8f_104.tar.bz2”h0Œ@377d4127c3f78e5e629a3be26c98efbae2e69a6bc75b60caebfffa70d883a3b0”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒIJG”hBŒOther”hDGA×Éy¾$(öhEJ hFˆubh)”}”(hŒlibidl-devel-cos6-x86_64”h#Œ0.8.13”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libidl-devel-cos6-x86_64-0.8.13-h9b0a68f_105.tar.bz2”h+Œ 7e57bede6416bad2d2923a5bd937f977”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos6-x86_64-0.8.13-h9b0a68f_105.tar.bz2”h0Œ@f9f0cfff11eb56a77cd6c80e078fdca650e50900d15ea4d556cad36cbc757e65”h2NhNh3Œ#glib2-devel-cos6-x86_64 >=2.0 *_105”Œ!libidl-cos6-x86_64 ==0.8.13 *_105”Œ!pkgconfig-cos6-x86_64 >=0.8 *_105”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@Zi»…hEM_jhFˆubh)”}”(hŒvisitor”h#Œ0.1.3”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ"visitor-0.1.3-pyh9f0ad1d_1.tar.bz2”h+Œ 8497903b00026fb5efc0d18c57dfbd1b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/visitor-0.1.3-pyh9f0ad1d_1.tar.bz2”h0Œ@7f873d4566e23e8e680cd4cfe2a73daf6b6f00f6b0509e7a920a968b1e8448e3”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×£4ËhEMÛhFˆubh)”}”(hŒ	r-lsmeans”h#Œ2.30_0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ&r-lsmeans-2.30_0-r41hc72bb7e_3.tar.bz2”h+Œ 37f278ab0281e4a29b2562e971d087c4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lsmeans-2.30_0-r41hc72bb7e_3.tar.bz2”h0Œ@c88e70c8ecef0deb969df1f131eabd52a85fa3d4abcf216c30529f8d2ed84a69”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-emmeans >=1.3”†”h9hºh@ŒGPL-2.0-only OR GPL-3.0-only”hBŒGPL3”hDGAØÒSWKÇhEJ0  hFˆubh)”}”(hŒr-clickr”h#Œ0.8.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-clickr-0.8.3-r41hc72bb7e_1.tar.bz2”h+Œ 508246b1a3b00b4ddf5396a9f838c56a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-clickr-0.8.3-r41hc72bb7e_1.tar.bz2”h0Œ@d9a7ff80dc68fa0e5a6d8e582e7da706f3d546c2eaa69dc29f2501cb56f7bdd8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-beeswarm”Œr-boot”Œr-flextable”Œr-lme4”Œ
r-lmertest”Œ	r-officer”Œr-stringdist”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓ@ÞffhEJ)Ò hFˆubh)”}”(hŒ	descartes”h#Œ1.1.0”h%Œpy_3”h'Khhh(h)hŒdescartes-1.1.0-py_3.tar.bz2”h+Œ c49a7b341240406cdb3ec7948afc0a12”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-py_3.tar.bz2”h0Œ@0991e96edc88813eda538704860f779f481538f0167e4639cd3328f3d64bdf1e”h2NhNh3Œ
matplotlib”Œpython”†”h9h?h@ŒBSD”hDGA×+Š›¶FhEMhhFˆubh)”}”(hŒr-rpmm”h#Œ1.25”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ$r-rpmm-1.25-r41hc72bb7e_1003.tar.bz2”h+Œ c1858dec4bf92ca1fbdf79430bf00468”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rpmm-1.25-r41hc72bb7e_1003.tar.bz2”h0Œ@07b4342150a3efc5f70b4af9b02abc8d26f938ff77433ca9e1af2188bd9fe9eb”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒáb~úhEJ›“ hFˆubh)”}”(hŒ	r-remotes”h#Œ2.4.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-remotes-2.4.2-r41hc72bb7e_1.tar.bz2”h+Œ fee357b9269ee696fffdc18109ae8836”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-remotes-2.4.2-r41hc72bb7e_1.tar.bz2”h0Œ@f3c5b63025206f9d463325f95516ac56fec4cbaa71f33e9f1aa42ae4bc981e3c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐHåÓ¥ãhEJÖW hFˆubh)”}”(hŒlibxft-cos6-x86_64”h#Œ2.3.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ.libxft-cos6-x86_64-2.3.2-ha826a6f_1103.tar.bz2”h+Œ c98cb6a1fff517d81fed832747b0986b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos6-x86_64-2.3.2-ha826a6f_1103.tar.bz2”h0Œ@aee84627f048136071103acdca79aab64e172deb4c2b433c578afd13bcb4614a”h2NhNh3Œ#fontconfig-cos6-x86_64 >=2.2 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2ØoPhEMÇÚhFˆubh)”}”(hŒr-assertive.data.us”h#Œ0.0_2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ/r-assertive.data.us-0.0_2-r42hc72bb7e_3.tar.bz2”h+Œ b02d32cf99d399d53b0f6f1e595e41fb”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.us-0.0_2-r42hc72bb7e_3.tar.bz2”h0Œ@5b6f8eb3d6c6da75a48f7b70d79125a9c52dea8542eaa059a8cc8c0211e02c6b”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.2,<4.3.0a0”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ?8©xÕhEM`®hFˆubh)”}”(hŒpymysql”h#Œ0.9.3”h%Œpy_0”h'K hhh(h)hŒpymysql-0.9.3-py_0.tar.bz2”h+Œ b4430eb439bfd9e0e051450f1019177b”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pymysql-0.9.3-py_0.tar.bz2”h0Œ@b1783d0c271d44d9d5ab4890681788bc7cf9867fdb85a9e047ba45b47808b876”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×7ßéÍVhEM›¤hFˆubh)”}”(hŒheliopy”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"heliopy-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ eec14d92278a45e80075ff3ae82bb2c9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/heliopy-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9aade706db7bee74c234f76f3ba2576d805b2db9810830537c1bf8b131e7c55b”h2NhNh3Œastropy”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ|¼wl‹hEMçVhFˆubh)”}”(hŒr-spatialvx”h#Œ1.0_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-spatialvx-1.0_1-r41hc72bb7e_0.tar.bz2”h+Œ 764f2a43d25f38c18c70520c0f689afc”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-spatialvx-1.0_1-r41hc72bb7e_0.tar.bz2”h0Œ@37d341019c6813bc6048ee6349827e76d41f8826a0bc0d886b1ca299dd434e6d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-circstats”Œr-distillery”Œr-fastcluster”Œr-fields >=6.8”Œr-maps”Œr-smatr”Œ
r-smoothie”Œ
r-spatstat”Œ	r-turboem”Œ
r-waveslim”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÛ)ûçhEJý< hFˆubh)”}”(hŒcherrypy”h#Œ11.0.0”h%Œpy_0”h'K hhh(h)hŒcherrypy-11.0.0-py_0.tar.bz2”h+Œ f81e585e8bcbc0e59c7dd9a857b3bf2b”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/cherrypy-11.0.0-py_0.tar.bz2”h0Œ@43bcc584bd4f5c9697b953f6d2717071d007d1bc8faaee38fe9047729e73935b”h2NhNh3(Œcheroot >=5.8.3”Œportend >=2.1.1”Œpython”Œ
setuptools”Œsix”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hEJR% hFˆubh)”}”(hŒr-drought4r”h#Œ0.2.0”h%Œr36ha770c72_0”h'K hhh(h)hŒ'r-drought4r-0.2.0-r36ha770c72_0.tar.bz2”h+Œ 9ebb752e7bae576b435f3095253354fd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-drought4r-0.2.0-r36ha770c72_0.tar.bz2”h0Œ@c45842e1a3c3097cf51c743269f0ce90bbcc0bb7d9f104a750587597347e9a4c”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œ
r-magrittr”Œr-spei”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡FÉmOßhEJ( hFˆubh)”}”(hŒlibice-devel-cos6-x86_64”h#Œ1.0.6”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libice-devel-cos6-x86_64-1.0.6-h9d98e8f_1104.tar.bz2”h+Œ eccc2ec02dd7d30b6e05941be9c511d6”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos6-x86_64-1.0.6-h9d98e8f_1104.tar.bz2”h0Œ@a3418ce276a58ac192a825d3df71359025e4256e9dd4b3c03ee0540dfb21ad4d”h2NhNh3Œ!libice-cos6-x86_64 ==1.0.6 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|CŒ¬hEM/hFˆubh)”}”(hŒ
r-hmeasure”h#Œ1.0_2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-hmeasure-1.0_2-r42hc72bb7e_1.tar.bz2”h+Œ 33a5c0004d051952492801cf116739a5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hmeasure-1.0_2-r42hc72bb7e_1.tar.bz2”h0Œ@cfcc6458e888d7835cce73b06aa17316b2ac5ddf91bd3332f24bd9242cf89f18”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ©¦tÌÍhEJº hFˆubh)”}”(hŒkernel-headers-cos7-x86_64”h#Œ3.10.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ7kernel-headers-cos7-x86_64-3.10.0-ha826a6f_1103.tar.bz2”h+Œ 7636675a3b5fbbbc64e8b1f6f5b7afce”h.Œehttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos7-x86_64-3.10.0-ha826a6f_1103.tar.bz2”h0Œ@91837b9b14dc03b0a72b01ad83f51b5d3cb8890290b1fb920bb1bf49ecffd002”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Æ0JtÝ/hEMhFˆubh)”}”(hŒr-ggsn”h#Œ0.5.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ"r-ggsn-0.5.0-r42hc72bb7e_3.tar.bz2”h+Œ eef834aed68fb78672af324b2a01d42d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ggsn-0.5.0-r42hc72bb7e_3.tar.bz2”h0Œ@5dc3190fe8cf179e610b24383259ab5841e8e51acaa249d0cf459d814d935e0f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggmap”Œ	r-ggplot2”Œ
r-maptools”Œr-png”Œr-sf”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒqBÐ1'hEJÆ
 hFˆubh)”}”(hŒdjango-rest-polymorphic”h#Œ0.1.9”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ2django-rest-polymorphic-0.1.9-pyhd3deb0d_1.tar.bz2”h+Œ 804722665c54797dae42737abb80cb4f”h.Œ`https://conda.anaconda.org/conda-forge/noarch/django-rest-polymorphic-0.1.9-pyhd3deb0d_1.tar.bz2”h0Œ@a5a272dc258213c4e819e79703ded902d728de039820e8e77f7da64f05419918”h2NhNh3(Œdjango”Œdjango_polymorphic”Œdjangorestframework”Œpython”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ#@\)hEMî"hFˆubh)”}”(hŒr-mglm”h#Œ0.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-mglm-0.2.1-r41hc72bb7e_1.tar.bz2”h+Œ 72dcd4711e2ab48d822404a623987eea”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mglm-0.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@8f2c1a58b6c7be4450ba59a3dcd73c871c33d50f5013b8c5249996a272aa3c32”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ&¨ƒhEJU hFˆubh)”}”(hŒr-orgmassspecr”h#Œ0.5_3”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ*r-orgmassspecr-0.5_3-r40hc72bb7e_2.tar.bz2”h+Œ c1eb8e6d5d76c2e60a8e7e53eb141b55”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-orgmassspecr-0.5_3-r40hc72bb7e_2.tar.bz2”h0Œ@3aea7983706df9cf3b203fee9ccb44b84af6dfe658b5cb41ea84352de8ea624a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGAØ+ÅãThEJ£ï hFˆubh)”}”(hŒrobotframework-appiumlibrary”h#Œ1.5.0.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ9robotframework-appiumlibrary-1.5.0.6-pyh9f0ad1d_0.tar.bz2”h+Œ b64ed8a797a6621ba1bee305b2099c05”h.Œghttps://conda.anaconda.org/conda-forge/noarch/robotframework-appiumlibrary-1.5.0.6-pyh9f0ad1d_0.tar.bz2”h0Œ@286dcf101079d24ddc8fc0fed114003ba79a1bc9cb63ab16640fe9f42db3f992”h2NhNh3(Œappium-python-client >=0.28”Œdecorator >=3.3.2”Œdocutils >=0.8.1”Œkitchen >=1.2.4”Œpython”Œrobotframework >=2.6.0”Œselenium >=2.47.1”Œsix >=1.10.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ÖGXÉ‡hEMÂyhFˆubh)”}”(hŒ	bookstore”h#Œ2.5.1”h%Œpy_0”h'K hhh(h)hŒbookstore-2.5.1-py_0.tar.bz2”h+Œ 84279c10bb0d9472e53c6c24d4e6a712”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/bookstore-2.5.1-py_0.tar.bz2”h0Œ@1234e1daf261a7eba9c841c3163c26bc6be77e4c72e24d78be86f4cc3d55aee8”h2NhNh3(Œaiobotocore”Œfuture”Œipython >=5.0”Œnotebook”Œpython >=3.6”Œtornado >=5.1.1”t”h9h?h@ŒBSD”hBŒBSD”hDGA×{¤É;dhEMCshFˆubh)”}”(hŒazure-mgmt-trafficmanager”h#Œ0.51.0”h%Œpy_0”h'K hhh(h)hŒ-azure-mgmt-trafficmanager-0.51.0-py_0.tar.bz2”h+Œ e22a0b4fc81824bd56e6a3555f88f8bf”h.Œ[https://conda.anaconda.org/conda-forge/noarch/azure-mgmt-trafficmanager-0.51.0-py_0.tar.bz2”h0Œ@437ab3c9a6213f4c79021835c9ff05b4c01559d41ea586dfd7177d6bf5051e0f”h2NhNh3(Œazure-common >=1.1,<2.0”Œmsrest >=0.5.0”Œmsrestazure >=0.4.32,<2.0.0”Œpython >3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯YÛ®$ÝhEMichFˆubh)”}”(hŒpyexecjs”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pyexecjs-1.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 483b1a64428dc9f4ce09f16cd8e8ed43”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pyexecjs-1.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6ffd4515c353cfb07c6b32a18d4044251d38a8303e5ee258ed6992a6fccb9342”h2NhNh3Œpython >=3.6”Œsix >=1.10.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÕ¦ÔÏß;hEMéAhFˆubh)”}”(hŒr-rebus.numbers”h#Œ0.0_1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ.r-rebus.numbers-0.0_1-r40h6115d3f_1002.tar.bz2”h+Œ 92d445c90606d97ea910ae7171de3833”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rebus.numbers-0.0_1-r40h6115d3f_1002.tar.bz2”h0Œ@22e35a4e60c6056ed157ad9a68e722359bb0894187ef80d55bb286fadf6aeafb”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rebus.base”†”h9hºh@ŒOther”hDGA×¬@¶æVhEMd_hFˆubh)”}”(hŒ	r-reutils”h#Œ0.2.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-reutils-0.2.3-r36h6115d3f_0.tar.bz2”h+Œ b03c37c312487f44b6d95ba6e213f018”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reutils-0.2.3-r36h6115d3f_0.tar.bz2”h0Œ@270cd7df6ad22586d9d2921f07319654c34d94f5b0b4ba03731836958e2bb568”h2NhNh3(Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œ
r-jsonlite”Œr-rcurl”Œr-tibble >=1.2”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGA×½”p)7LhEJV" hFˆubh)”}”(hŒr-perm”h#Œ1.0_0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-perm-1.0_0.2-r42hc72bb7e_1.tar.bz2”h+Œ cc45e359e82ec1ec7c8eb7f13b5665a5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-perm-1.0_0.2-r42hc72bb7e_1.tar.bz2”h0Œ@a20a6731ce128038503893710394d524ffd95f833cab8d379c4c4368256b5bbf”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ=}ÂhEJ-Ž hFˆubh)”}”(hŒsciunit”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sciunit-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ c13b01cb99eca957cd2c89dc1d522d4d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sciunit-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0f1389b804b77f32341a57bdbb46ac515a6c667ed871ebf565c0b04496aa5f0d”h2NhNh3(Œbs4”Œcerberus >=1.2”Œgit”Œ	gitpython”Œimportlib-metadata”Œ	ipykernel”Œipython”Œlxml”Œ
matplotlib”Œ	nbconvert”Œnbformat”Œpandas”Œpython >=3.6”Œ
quantities”t”h9h?h@ŒMIT”hBŒMIT”hDGAØïü‘hhEMÛàhFˆubh)”}”(hŒlibpng-cos7-aarch64”h#Œ1.5.13”h%Œh9d98e8f_104”h'Khhhh(h)hŒ/libpng-cos7-aarch64-1.5.13-h9d98e8f_104.tar.bz2”h+Œ 472ad609da4060be883217f32576a9df”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libpng-cos7-aarch64-1.5.13-h9d98e8f_104.tar.bz2”h0Œ@e34735b3d0ee7423147feb77d78b27b41aeeb1de7606a796f2b6a5f4c1e9ee98”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGA×ÉyBåÒòhEJ hFˆubh)”}”(hŒwmctrl”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒwmctrl-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 49bb7becdf78eda50065902f9925dfe3”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/wmctrl-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@3afe0b76ac031afeb7bc5502d30e9626db3afc4f181d24a7fd29943873c84639”h2NhNh3Œattrs”Œ
python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ ù£’Ÿ¾hEMÉhFˆubh)”}”(hŒr-kedd”h#Œ1.0.3”h%Œr35_1003”h'Mëhhh(h)hŒr-kedd-1.0.3-r35_1003.tar.bz2”h+Œ 63b1e713b09f8ae39007f8323ca60b99”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-kedd-1.0.3-r35_1003.tar.bz2”h0Œ@1c817ea11540e602e3b27660cf18f855f401297445f76f63cd6b38698f0d525d”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LæÒ~úhEJD hFˆubh)”}”(hŒ	r-rematch”h#Œ1.0.1”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ(r-rematch-1.0.1-r40hc72bb7e_1004.tar.bz2”h+Œ 82c6fdb4dee92ddd9dd43b3a319a0247”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rematch-1.0.1-r40hc72bb7e_1004.tar.bz2”h0Œ@f80d7030c62ba5450ccf7c94ea5b93f9200c63d6cb54b8e5f920044b16ad64d0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsZðÎÙhEMNhFˆubh)”}”(hŒ libglvnd-core-devel-cos7-ppc64le”h#Œ1.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ<libglvnd-core-devel-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h+Œ 1f7a5ba50b88a6177d33dc4801244b0f”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-core-devel-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h0Œ@9da810f6b5f9089fbe60e6c84eb302d4de8c0e725365ba4ea6bd7d2ceee973c7”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ59TB¬hEM>WhFˆubh)”}”(hŒr-rmeta”h#Œ3.0”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ$r-rmeta-3.0-r40hc72bb7e_1003.tar.bz2”h+Œ 4bbd6c4629ee81aaf5e55ba1f224db51”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmeta-3.0-r40hc72bb7e_1003.tar.bz2”h0Œ@f7f201344cb20405ec37ce9becd42e47d0b8c04919f53008d4c3eb7c47e1811c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+^axÕhEJtæ hFˆubh)”}”(hŒ	r-feature”h#Œ1.2.15”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-feature-1.2.15-r36hc72bb7e_0.tar.bz2”h+Œ 352d433b8edd69074fb346bb8ef4eb3e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-feature-1.2.15-r36hc72bb7e_0.tar.bz2”h0Œ@7839ec2b2ae44b256da047ea4dec79bda23dc7b0bf7276b00c1d43d3a8aa4559”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ks >=1.10.0”Œr-misc3d”Œr-rgl”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØäc-ãThEJ„« hFˆubh)”}”(hŒeeyore”h#Œ0.0.20”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"eeyore-0.0.20-pyhd8ed1ab_0.tar.bz2”h+Œ ecd55d59f1e68272657696a0cf391c83”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/eeyore-0.0.20-pyhd8ed1ab_0.tar.bz2”h0Œ@40e57b799815f5246b4e9721bc64ce84a4988ceb7aeb0b0ed0340b43b1c60ae5”h2NhNh3(Œkanga >=0.0.19”Œnumpy >=1.19.2”Œpython >=3.6”Œpytorch-cpu”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÒ#ð¶FhEM‡ŽhFˆubh)”}”(hŒr-fontliberation”h#Œ0.1.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ/r-fontliberation-0.1.0-r41hc72bb7e_1003.tar.bz2”•      h+Œ 101f8fc7562ce956fead4f9953816283”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-fontliberation-0.1.0-r41hc72bb7e_1003.tar.bz2”h0Œ@4d094a85cf097efc5556837bd74916a5a27442d7480ffd061e3dadde5f250525”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒOFL-1.1”hBŒOTHER”hDGAØ*ì4¶ùÛhEJÊA hFˆubh)”}”(hŒr-binhf”h#Œ1.0_3”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ&r-binhf-1.0_3-r41hc72bb7e_1004.tar.bz2”h+Œ 7fd52fa2a46f2d63fe45ad0d3d202816”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-binhf-1.0_3-r41hc72bb7e_1004.tar.bz2”h0Œ@22de1c02a09855df2e02fb3a071a68c8a5637af711bf5a687780ce2d5a56b060”h2NhNh3(Œr-adlift >=0.9.2”Œr-base >=4.1,<4.2.0a0”Œr-ebayesthresh”Œr-wavethresh”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ¢·ë÷ÏhEJI£ hFˆubh)”}”(hŒr-teamr”h#Œ0.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-teamr-0.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 97cfe2feb982cfcceef65ae31855b870”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-teamr-0.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@25e23c9da4c30b6a58d9685b1242513867d0b61130762b7edc714d41d4edb11e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
r-jsonlite”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑý«Ó×
hEJE9 hFˆubh)”}”(hŒmedcam”h#Œ0.1.21”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"medcam-0.1.21-pyhd8ed1ab_0.tar.bz2”h+Œ af556a408b3439a812371265ce13aeed”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/medcam-0.1.21-pyhd8ed1ab_0.tar.bz2”h0Œ@79e613c9b1e8a8b078119a6fb387e13df655af5c97ac840ee2e345ce4dcc0df0”h2NhNh3(Œcertifi”Œcycler”Œ	decorator”Œfuture”Œimageio”Œ
kiwisolver”Œmako”Œmarkdown”Œ
markupsafe”Œmatplotlib-base”Œnetworkx”Œnibabel”Œnumpy”Œopencv”Œ	packaging”Œpandas”Œpillow”Œ	pyparsing”Œpython >=3.6”Œpython-dateutil”Œpytz”Œ
pywavelets”Œscikit-image”Œscipy”Œ	simpleitk”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ2/xHA‰hEM“RhFˆubh)”}”(hŒefficientnet-pytorch”h#Œ0.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/efficientnet-pytorch-0.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9ddf0deb46c69730ff8cafce599e3a32”h.Œ]https://conda.anaconda.org/conda-forge/noarch/efficientnet-pytorch-0.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@62cd8780cf1c541a75b13a448884cc82872fdadd92989c1171b99a19805ecb8a”h2NhNh3Œpython >=3.6”Œpytorch”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ@©q2ÐåhEMBYhFˆubh)”}”(hŒr-rangemodelmetadata”h#Œ0.1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ0r-rangemodelmetadata-0.1.4-r41hc72bb7e_1.tar.bz2”h+Œ 1db93d7fa04c678a82ee59a3c91a2cc7”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-rangemodelmetadata-0.1.4-r41hc72bb7e_1.tar.bz2”h0Œ@6073b21b2e0969e3c0982de1bc2d9aec7e6d498368b0c430032cc644aa08c5da”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-jsonlite”Œr-mass”Œr-raster”Œr-rgbif”Œr-rgdal”Œr-rgeos”Œr-shiny”Œr-sp”Œ
r-spatstat”Œr-spocc”Œr-spthin”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ·×•?}hEJeJ hFˆubh)”}”(hŒglib2-cos7-ppc64le”h#Œ2.56.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/glib2-cos7-ppc64le-2.56.1-h9d98e8f_1104.tar.bz2”h+Œ d44a29a1d5cfaf855a8a67422341f7f3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-ppc64le-2.56.1-h9d98e8f_1104.tar.bz2”h0Œ@ece8826beecf4687ccf80d719a4ae8f66f2867b1e1c8fa90275c0be8876ecadc”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éxø‡®hEJðx. hFˆubh)”}”(hŒmarshmallow-oneofschema”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2marshmallow-oneofschema-3.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4feef1f2c0f93b72161bb6c838813b30”h.Œ`https://conda.anaconda.org/conda-forge/noarch/marshmallow-oneofschema-3.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@8878b6e77a22d2378e8cb71106d56c7357785b0c38d660bb64d222d2f8f992c0”h2NhNh3Œmarshmallow >=3.0.0,<4.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ9•„ï\)hEM{"hFˆubh)”}”(hŒflask-couchdb”h#Œ0.2.1”h%Œpy_1”h'Khhh(h)hŒ flask-couchdb-0.2.1-py_1.tar.bz2”h+Œ 6178be59e6ad1777c10dc9db547cbff3”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/flask-couchdb-0.2.1-py_1.tar.bz2”h0Œ@3a3c5656aca4816de11c7538a37115cb3b2fd38461ccb3ee4ea7d5358e92c2d0”h2NhNh3Œflask”Œpython”Œpython-couchdb >=0.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×qbýl›¦hEM¹%hFˆubh)”}”(hŒansible-base”h#Œ2.10.17”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)ansible-base-2.10.17-pyhd8ed1ab_0.tar.bz2”h+Œ 2fb9d8c2aea1a82f9db970519a692493”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/ansible-base-2.10.17-pyhd8ed1ab_0.tar.bz2”h0Œ@1ea885f54e08b04bcb8e139f4df1cd6957af77393e81c023fff88d508e5b3f26”h2NhNh3(Œcryptography”Œjinja2”Œ	packaging”Œ$python !=3.0,!=3.1,!=3.2,!=3.3,!=3.4”Œpyyaml”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ~FÄ“hEJÁP hFˆubh)”}”(hŒlibxft-cos7-aarch64”h#Œ2.3.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libxft-cos7-aarch64-2.3.2-h9d98e8f_1104.tar.bz2”h+Œ 56df464e725c1b84b22eb906ae00ec73”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-aarch64-2.3.2-h9d98e8f_1104.tar.bz2”h0Œ@1dfa145d45d5ec9c2cd6cc97395a2e83776726361866bb8a4f1b70df05c1f97c”h2NhNh3Œ$fontconfig-cos7-aarch64 >=2.2 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É[çmhEMœçhFˆubh)”}”(hŒcolorful”h#Œ0.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#colorful-0.5.4-pyhd8ed1ab_0.tar.bz2”h+Œ d4abd4007e4b7100fc5731a7430b06ed”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/colorful-0.5.4-pyhd8ed1ab_0.tar.bz2”h0Œ@8baae99e6c4a2fd8e6bc473d19dd8279b27b2d62eb07d4f6fea16f37f68ff9f7”h2NhNh3Œcolorama”Œpython >=3.4”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ì¦¦&éhEJƒ† hFˆubh)”}”(hŒ
r-ldrtools”h#Œ0.2_1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-ldrtools-0.2_1-r40h6115d3f_1.tar.bz2”h+Œ 134757df7a73891c9368eb6089bce9de”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ldrtools-0.2_1-r40h6115d3f_1.tar.bz2”h0Œ@f6effc10f9fe8cd86a5d04bcbba7110dfec8732d0f82453655fb8f3296c14413”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬´Å2¬hEM¼ÄhFˆubh)”}”(hŒr-geem”h#Œ0.10.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-geem-0.10.1-r41hc72bb7e_1003.tar.bz2”h+Œ 019e99407b7932944f99cc34ad35b70e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geem-0.10.1-r41hc72bb7e_1003.tar.bz2”h0Œ@a284ba961b398fd7faea3219ed24a660ee8e8a6e054fa987b5a020b3bfbca483”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑZY#¶FhEJ4ˆ hFˆubh)”}”(hŒdictlib”h#Œ1.1.5”h%Œpy_1”h'Khhh(h)hŒdictlib-1.1.5-py_1.tar.bz2”h+Œ 1839a90afbb526ba6153d99c0cf4846d”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/dictlib-1.1.5-py_1.tar.bz2”h0Œ@0b3ac0300cb9bae6a9f1c139df0c65a397d157f9d896eb0fec301dd8a7d38a30”h2NhNh3Œpython”…”h9h?h@ŒGNU Affero General Public v3”hBŒAGPL”hDGA×š˜Ô­VhEMO^hFˆubh)”}”(hŒpynetworktables”h#Œ2021.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-pynetworktables-2021.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ d2d85dea03ab2765d14ac24834f84c83”h.Œ[https://conda.anaconda.org/conda-forge/noarch/pynetworktables-2021.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@58a07b80a026b9a9b8139e224ef4c0ed6d33c63be9f2e9747869d7f6cf728487”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ-•TîVhEMöhFˆubh)”}”(hŒ	r-rapport”h#Œ1.1”h%Œr42ha770c72_1”h'Khhh(h)hŒ#r-rapport-1.1-r42ha770c72_1.tar.bz2”h+Œ db8d839c9030c001b8bfe94e5d7228a1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rapport-1.1-r42ha770c72_1.tar.bz2”h0Œ@43060bb0c4704040eb0c048b23fff7d681508970c9e40fbda300b7b889fd1263”h2NhNh3(Œpandoc”Œr-base >=4.2,<4.3.0a0”Œr-pander”Œr-rapportools”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØÒ/q
Ÿ¾hEJ9Ü hFˆubh)”}”(hŒ
r-invgamma”h#Œ1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-invgamma-1.1-r41hc72bb7e_2.tar.bz2”h+Œ 31913f91d8b09ac5d1f6df15331da33c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-invgamma-1.1-r41hc72bb7e_2.tar.bz2”h0Œ@d39d57ae26242021b7c688b7c6823df2b9d0cb3e1ab1f00076e92f8ea1dc56f9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ,•Í¡ËhEMï‡hFˆubh)”}”(hŒ	grayskull”h#Œ0.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$grayskull-0.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 923658b8dc1e34cd86139ba8d442913d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/grayskull-0.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cb2a68e06247e7cfd94fd8abc1c9b02a75343ebcd019fe0216e07ca51d830207”h2NhNh3(Œcolorama”Œgit”Œpip”Œprogressbar2 >=3.53.0”Œpython >=3.7”Œrapidfuzz >=1.7.1”Œrequests”Œruamel.yaml >=0.16.10”Œruamel.yaml.jinja2”Œsetuptools >=30.3.0”Œstdlib-list”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ\ºy¸ ÅhEJ¨È hFˆubh)”}”(hŒr-hdm”h#Œ0.3.1”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ!r-hdm-0.3.1-r40hc72bb7e_2.tar.bz2”h+Œ b630072b5f7e515e60e5ee100f06a95c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hdm-0.3.1-r40hc72bb7e_2.tar.bz2”h0Œ@b8212841a4fc78b87797c161c0c0e881f793a35c1bfa214a7f4c8a7fd25e588b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-checkmate”Œ	r-formula”Œ	r-ggplot2”Œr-glmnet”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+»>|í‘hEJu? hFˆubh)”}”(hŒperl-exporter-tidy”h#Œ0.08”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ0perl-exporter-tidy-0.08-pl5321hd8ed1ab_0.tar.bz2”h+Œ 623b232c12df97b67b727dc563e68040”h.Œ^https://conda.anaconda.org/conda-forge/noarch/perl-exporter-tidy-0.08-pl5321hd8ed1ab_0.tar.bz2”h0Œ@07cda04a292c7416c1dbcad67a0ad245f57fe04a503486ec3bd3fdc17d9011ff”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@ŒAny-OSI-Approved”hBŒOTHER”hDGAØ½Iß€õÃhEM2hFˆubh)”}”(hŒsysroot-cos7-x86_64”h#Œ2.17”h%Œ
h1a5fb1d_9”h'K	hhh(h)hŒ+sysroot-cos7-x86_64-2.17-h1a5fb1d_9.tar.bz2”h+Œ 464ff0ecd42a0152da601fc0c2713f9e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h1a5fb1d_9.tar.bz2”h0Œ@1ab5be1b5819c33dd5b6b1e54e22b78e1bda44127926fb3379476e4410a542ff”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×Ç/g²hEMÖhFˆubh)”}”(hŒstream-inflate”h#Œ0.0.14”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*stream-inflate-0.0.14-pyhd8ed1ab_0.tar.bz2”h+Œ ecde7baf42b22f46469e862ad4e1cb53”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/stream-inflate-0.0.14-pyhd8ed1ab_0.tar.bz2”h0Œ@38c72a3627ff567dbb684ca3ed8b85716ce340a6aca5eed968e4eff958af5f8b”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¹¤	ë…hEM¤)hFˆubh)”}”(hŒr-entropyexplorer”h#Œ1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ+r-entropyexplorer-1.1-r41hc72bb7e_2.tar.bz2”h+Œ 8fc9b8b1809fada02dfc0987547e78b0”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-entropyexplorer-1.1-r41hc72bb7e_2.tar.bz2”h0Œ@cb3d188e3a6d981a57b96c123b28a9923cddfbd9a96f413a51408d0319411a6f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ„ÓºJhEJQ hFˆubh)”}”(hŒipyurl”h#Œ0.1.3”h%Œpyhc268e32_0”h'K hhh(h)hŒ!ipyurl-0.1.3-pyhc268e32_0.tar.bz2”h+Œ f83cfe164a3498765085ff1030ebeb15”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/ipyurl-0.1.3-pyhc268e32_0.tar.bz2”h0Œ@4383c135310456294018020e96fb5cb23321e60884897d25b049cdc0610dc9d5”h2NhNh3Œipywidgets >=7.0.0,<8.0.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿æ­²-hEJ˜Q	 hFˆubh)”}”(hŒpycp2k”h#Œ0.2.2”h%Œpy_0”h'K hhh(h)hŒpycp2k-0.2.2-py_0.tar.bz2”h+Œ ee7b3b7ebf44498699b732962931eda3”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pycp2k-0.2.2-py_0.tar.bz2”h0Œ@bdf4faf525de7729a3a60f0ed462ec6ef9e2ca0f08697d464934cc826822e47c”h2NhNh3(Œase”Œfuture”Œnumpy”Œpython”t”h9h?h@ŒLGPL-3.0”hBŒLGPL”hDGA×[;}ŠMÓhEJêÉ hFˆubh)”}”(hŒr-smotefamily”h#Œ1.3.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ)r-smotefamily-1.3.1-r35h6115d3f_1.tar.bz2”h+Œ 45ce5a4227a00751779f758ed4ddba34”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-smotefamily-1.3.1-r35h6115d3f_1.tar.bz2”h0Œ@5ba50f9626743eb079edde97f570666c394c018df789882bc6039cc2daf00029”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-dbscan”Œr-fnn”Œr-igraph”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×E]Ië…hEJÈƒ hFˆubh)”}”(hŒ	r-metstat”h#Œ1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ#r-metstat-1.0-r35h6115d3f_0.tar.bz2”h+Œ adaa518e2e0cbe266d94efaa0b91b83d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metstat-1.0-r35h6115d3f_0.tar.bz2”h0Œ@f46df35f7e1702e5d1055c26eb599746b7652a3ebe10e4c3975f6fc6d8a04f2b”h2NhNh3(Œr-abind”Œr-base >=3.5,<3.6.0a0”Œr-mass”Œr-pls”t”h9hºh@ŒApache (== 2.0)”hBŒAPACHE”hDGA×dÆì¼1hEJÎ. hFˆubh)”}”(hŒr-giant”h#Œ1.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-giant-1.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 2b9c575ccf205b904e9bfae6405df408”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-giant-1.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@aa5ab36629352e451617709611cee9ea5f3d9ee816b0d1382985f927a17fc132”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÒp~Ù™šhEJgk hFˆubh)”}”(hŒmesa-libgbm-cos7-ppc64le”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4mesa-libgbm-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h+Œ a3c7155abe09ea8d131a882b802f370f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-ppc64le-18.3.4-hdf0574f_102.tar.bz2”h0Œ@2384dabf33d593ef43090c87daaeb26b955e472b97656384178dce3975ea8fc5”h2NhNh3Œ"libdrm-cos7-ppc64le >=2.4.83 *_102”Œ)mesa-libglapi-cos7-ppc64le ==18.3.4 *_102”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+0ët¼hEM@hFˆubh)”}”(hŒlibxinerama-cos6-x86_64”h#Œ1.1.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libxinerama-cos6-x86_64-1.1.3-h9d98e8f_1104.tar.bz2”h+Œ e554fbb11151d6f6fc7972d00c559cf0”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos6-x86_64-1.1.3-h9d98e8f_1104.tar.bz2”h0Œ@bc47310ff264a97c0d40c2bba59f89eca468749adf7b4ee47a6aeddab0427fff”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É}xìÝ/hEMá$hFˆubh)”}”(hŒ
r-prabclus”h#Œ2.3_2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-prabclus-2.3_2-r36h6115d3f_1.tar.bz2”h+Œ e625eda59623f5ea857b245ee97efc8e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prabclus-2.3_2-r36h6115d3f_1.tar.bz2”h0Œ@69208cbace62e833267c90fa5dc9f2e0d05fed91117be5ec142e885a088317f9”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-mclust”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×«â¼Æ¸RhEJç‘ hFˆubh)”}”(hŒr-sylly”h#Œ0.1_6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-sylly-0.1_6-r40hc72bb7e_0.tar.bz2”h+Œ f776a01f8edb4ffd63679247c253389c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-sylly-0.1_6-r40hc72bb7e_0.tar.bz2”h0Œ@a2a7b003d857ff4d743c10b5b6170d69645bbd6499f3dd68f338f08c4d41c8c4”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*âÿl›¦hEJW“ hFˆubh)”}”(hŒsceptre-cmd-resolver”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/sceptre-cmd-resolver-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 09860f72eea8c31386e43d8aa29aef14”h.Œ]https://conda.anaconda.org/conda-forge/noarch/sceptre-cmd-resolver-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a4236d9dee75888e3fd8e923461aef3273386103344803e34a860e9be1e8ad90”h2NhNh3Œpackaging 16.8”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØw(yS¥ãhEMc hFˆubh)”}”(hŒr-ineq”h#Œ0.2_13”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-ineq-0.2_13-r36h6115d3f_1002.tar.bz2”h+Œ 57722557b060106428e28aba65a2ffa4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ineq-0.2_13-r36h6115d3f_1002.tar.bz2”h0Œ@a50aaef197186ee112946380ab57d6a0d469a0b11408abc8e30bacb93f788a52”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×¬¹_*áHhEJÌž hFˆubh)”}”(hŒdash-core-components”h#Œ2.0.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ/dash-core-components-2.0.0-pyhd8ed1ab_1.tar.bz2”h+Œ c8d6a25578f40106a36765e7932fda90”h.Œ]https://conda.anaconda.org/conda-forge/noarch/dash-core-components-2.0.0-pyhd8ed1ab_1.tar.bz2”h0Œ@62b1ab5d1d8bd5e4f36e8120a7d2b9643c716aad27ae84de9bdd555fb008b34f”h2NhNh3Œdash >=2.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØƒËÇˆbNhEM¡hFˆubh)”}”(hŒtams”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒtams-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 619b9a1844b234022ba823ea46ea6f6e”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/tams-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@13b48a31ff6adfd31153ec9d4bc3bcf6ba59a9d9c94c30944c2437138c1a8f1c”h2NhNh3(Œcartopy >=0.21”Œgeopandas >=0.10”Œjoblib”Œmatplotlib-base >=3.4”Œnetcdf4”Œnumpy”Œpandas”Œpygeos”Œpython >=3.7”Œ
regionmask”Œscikit-image”Œscipy”Œshapely”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØØ±‹6vÉhEM!ThFˆubh)”}”(hŒr-ghibli”h#Œ0.3.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-ghibli-0.3.3-r42hc72bb7e_1.tar.bz2”h+Œ ee93d5b342dc953d13c494bdb349aaea”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ghibli-0.3.3-r42hc72bb7e_1.tar.bz2”h0Œ@1e0fcee8fd51e68c8ff7db6a4cf56f8419a729fc5082274ca7f87a35cd81ecdf”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-prismatic”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒp¡ÞVhEJ”W hFˆubh)”}”(hŒxarray-simlab”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(xarray-simlab-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ ff21e2f5d47295d7ea05d23e1b68078f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/xarray-simlab-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d718e17b5240f1bdf416350ea06d3362e158d84e4df50d33ea6cf82d62c0b42c”h2NhNh3(Œattrs >=18.1.0”Œdask”Œnumpy”Œpython >=3.6”Œpython-graphviz”Œtqdm”Œxarray >=0.10.0”Œzarr >=2.3.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ×‹¥ãhEJA hFˆubh)”}”(hŒr-rangemodelmetadata”h#Œ0.1.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ0r-rangemodelmetadata-0.1.4-r42hc72bb7e_1.tar.bz2”h+Œ 7f64bbd40648b106a1ab16d692c38b25”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-rangemodelmetadata-0.1.4-r42hc72bb7e_1.tar.bz2”h0Œ@e5d3949d11c843dda21684b8f0085841db3899e9364ffeac9803ecaedc732eb2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
r-jsonlite”Œr-mass”Œr-raster”Œr-rgbif”Œr-rgdal”Œr-rgeos”Œr-shiny”Œr-sp”Œ
r-spatstat”Œr-spocc”Œr-spthin”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ·Ü­¡ËhEJÈJ hFˆubh)”}”(hŒinfinite-sets”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(infinite-sets-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 684ec7e2d8bb7a002ed639d68546798c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/infinite-sets-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@842b6867665ddc13d0f6cae68ab9453e013423264ffd41f95d1d0beb3b1969c1”h2NhNh3Œpython >=3.6”Œtyping-extensions”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ$`›±ë…hEMr#hFˆubh)”}”(hŒr-tractor.base”h#Œ3.3.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-tractor.base-3.3.5.1-r42hc72bb7e_1.tar.bz2”h+Œ 8e984e85a236fdf848aade0e3759bb28”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tractor.base-3.3.5.1-r42hc72bb7e_1.tar.bz2”h0Œ@8f614c0d1b92f2b523a51249f81e6a7096cd0b1f7219d1c0fce1bce9c0046203”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ore >=1.3.0”Œ	r-reportr”Œr-rnifti”Œr-shades”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑö×ß;hEJï`% hFˆubh)”}”(hŒr-mpoly”h#Œ1.1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ#r-mpoly-1.1.1-r41hc72bb7e_2.tar.bz2”h+Œ 38f3d0b198ce6e7c854e280d61b35d0f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mpoly-1.1.1-r41hc72bb7e_2.tar.bz2”h0Œ@a5a202fac4ed0d0230af5e1937ebf1df9ba35bd7a06909be90649c74b2ecef23”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-orthopolynom”Œr-partitions”Œr-plyr”Œ	r-polynom”Œr-stringr >=1.0.0”Œr-tidyr”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒM_-hEJ¸< hFˆubh)”}”(hŒr-msar”h#Œ0.6.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-msar-0.6.0-r41hc72bb7e_1.tar.bz2”h+Œ d186b8b04acf5f76f1ecc630b329a704”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-msar-0.6.0-r41hc72bb7e_1.tar.bz2”h0Œ@d1199bc0e16492db7e92b6ecacaade00ddc2f2c068242e7b789e42e7f70180f7”h2NhNh3Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets”‡”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAØÒM!cohEJf hFˆubh)”}”(hŒr-rebus”h#Œ0.1_3”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ&r-rebus-0.1_3-r40h6115d3f_1002.tar.bz2”h+Œ 62646192ccac5ce69de9ad2379a7dfc0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rebus-0.1_3-r40h6115d3f_1002.tar.bz2”h0Œ@9705408bdd3361d6747a3822e701270587b6089a86bdfe85e8abcc378ddee84e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-rebus.base >=0.0_3”Œr-rebus.datetimes”Œr-rebus.numbers”Œr-rebus.unicode >=0.0_2”t”h9hºh@ŒOther”hDGA×¬i=ÂhEJÙ hFˆubh)”}”(hŒrb-bond”h#Œ0.5.1”h%Œ
hd4c1694_0”h'K hhh(h)hŒ rb-bond-0.5.1-hd4c1694_0.tar.bz2”h+Œ da26262e0124b5ad8409535f49654367”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-bond-0.5.1-hd4c1694_0.tar.bz2”h0Œ@6064db0dbc9d54c45ba40d0349d578331f9f663b52fa1827ee7c15aad44dd74f”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×\ªÏùÛhEJ4 hFˆubh)”}”(hŒ	r-rapport”h#Œ1.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ#r-rapport-1.1-r40ha770c72_0.tar.bz2”h+Œ dd495e07bbf6ab84ae45080fb199d99e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rapport-1.1-r40ha770c72_0.tar.bz2”h0Œ@27241ab3941fc12aa2461ac0d0b69e7cc5e98a8a2b9ccf2fcc2d3bf2c8ef43d4”h2NhNh3(Œpandoc”Œr-base >=4.0,<4.1.0a0”Œr-pander”Œr-rapportools”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØà
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vtkplotter”h#Œ2020.3.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ(vtkplotter-2020.3.1-pyh9f0ad1d_0.tar.bz2”h+Œ 83cb538ab55bd1e5b16827e6152042e9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/vtkplotter-2020.3.1-pyh9f0ad1d_0.tar.bz2”h0Œ@58628f69c80ea39fac33024d68ff12fd32b4316c874d318fee047e7a6bc81722”h2NhNh3Œnumpy”Œpython”Œvtk”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×¹Æ¡åó¶hEJÝPhFˆubh)”}”(hŒlibuuid-cos6-x86_64”h#Œ2.17.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libuuid-cos6-x86_64-2.17.2-ha826a6f_1103.tar.bz2”h+Œ a93af7f57c7c2f80f71945518672ecd3”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos6-x86_64-2.17.2-ha826a6f_1103.tar.bz2”h0Œ@332c83e161d65dadfcdcd822490dec6e43fa2f8c5a92146bd36209fd65e46b7a”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ{2Ÿ¾hEMz4hFˆubh)”}”(hŒr-ggplotify”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-ggplotify-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ e29e116bcf0c9129232100dde216b69e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggplotify-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@84b56e2f25814b9a08f074be9c3571568160c94a23e93c29b9fc34e5b8a6607f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-gridgraphics”Œr-yulab.utils”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØL‰ñEó¶hEJzc hFˆubh)”}”(hŒatk-cos6-x86_64”h#Œ1.30.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ,atk-cos6-x86_64-1.30.0-h9b0a68f_1105.tar.bz2”h+Œ c31e394dbb395bb98a7e8f0f59259669”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos6-x86_64-1.30.0-h9b0a68f_1105.tar.bz2”h0Œ@fc6fe0413509764c90839422c02baed7306735dd53b475b4a829f704b8580edf”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@VŸ
=hEJù hFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œ
h1341992_0”h'K hhh(h)hŒ0libxxf86vm-cos7-ppc64le-1.1.4-h1341992_0.tar.bz2”h+Œ ef8ad06f7cc2f4d67558008f0c7180af”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-h1341992_0.tar.bz2”h0Œ@9e78050a735c27531af6c0bf343345e06ad3a061f48ac0c47f6fcf46cad6e597”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×mjæhEMþ:hFˆubh)”}”(hŒmockupdb”h#Œ1.7.0”h%Œpy_0”h'K hhh(h)hŒmockupdb-1.7.0-py_0.tar.bz2”h+Œ ddf6ab3959aaeacbda82dfdbe55a7372”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/mockupdb-1.7.0-py_0.tar.bz2”h0Œ@83dc86fcc1b8bbcbece87a8d88b2b1e588f2174978bc5ce3feb9446c75583004”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×7ßíæ‡+hEM¿khFˆubh)”}”(hŒsimple_benchmark”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+simple_benchmark-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 00d5c2b9902780007fecf37b948b1267”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/simple_benchmark-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@de84561500452bfd3b544d7a10ab5a3b310b2b10c71a4c9553755e311cfba3dc”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ•Æ®ðõÃhEMdLhFˆubh)”}”(hŒknack”h#Œ0.5.1”h%Œpy_0”h'K hhh(h)hŒknack-0.5.1-py_0.tar.bz2”h+Œ 6f93c69448d2c5a3f423f6c64cb14a52”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/knack-0.5.1-py_0.tar.bz2”h0Œ@36ca5c658aca9c3ef3b5421ab371fef1b2d75ad20265a828d6c2776422a79cbc”h2NhNh3(Œargcomplete”Œcolorama”Œjmespath”Œpygments”Œpython”Œpyyaml”Œsix”Œtabulate”t”h9h?h@ŒMIT”hBŒMIT”hDGA×µÌÌÍhEM •hFˆubh)”}”(hŒlibsoup-devel-cos7-ppc64le”h#Œ2.62.2”h%Œha826a6f_103”h'Kghhh(h)hŒ6libsoup-devel-cos7-ppc64le-2.62.2-ha826a6f_103.tar.bz2”h+Œ de61a748c7d2d63272333abfce2f2682”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos7-ppc64le-2.62.2-ha826a6f_103.tar.bz2”h0Œ@c6e96dc167a6a8e03ba8adbae26b93359650829233645e1977f2856b7d262d75”h2NhNh3Œ#libsoup-cos7-ppc64le ==2.62.2 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{±¯l‹hEJˆT hFˆubh)”}”(hŒ
r-cpgassoc”h#Œ2.60”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-cpgassoc-2.60-r35h6115d3f_0.tar.bz2”h+Œ ad2206b1861a183b8709da245edf5273”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cpgassoc-2.60-r35h6115d3f_0.tar.bz2”h0Œ@869686181e29747e40e7572d5829160f5ebe6925e701e9733a81d21c92270f9b”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-nlme”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯IØr°hEJ¢\ hFˆubh)”}”(hŒdistributed”h#Œ2022.4.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)distributed-2022.4.2-pyhd8ed1ab_0.tar.bz2”h+Œ 099e5231999b0d80af18e03a18a40d76”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/distributed-2022.4.2-pyhd8ed1ab_0.tar.bz2”h0Œ@cc93a8fa2b1cbca56be04b585a5fe2f176fd24fface48438139d2068913467dc”h2NhNh3(Œclick >=6.6”Œcloudpickle >=1.5.0”Œcytoolz >=0.8.2”Œ"dask-core >=2022.4.2,<2022.4.3.0a0”Œjinja2”Œlocket >=1.0.0”Œmsgpack-python >=0.6.0”Œpackaging >=20.0”Œpsutil >=5.0”Œpython >=3.8”Œpyyaml”Œ sortedcontainers !=2.0.0,!=2.0.1”Œtblib >=1.6.0”Œtoolz >=0.8.2”Œtornado >=6.0.3”Œurllib3”Œzict >=0.1.3”Œtornado <6.2”t”h6Œopenssl !=1.1.1e”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ›á2^5hEJ6( hFˆubh)”}”(hŒharfbuzz-cos7-ppc64le”h#Œ1.7.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1harfbuzz-cos7-ppc64le-1.7.5-h9b0a68f_1105.tar.bz2”h+Œ 3964a02ee139385915bcf420ff544041”h.Œ_https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-ppc64le-1.7.5-h9b0a68f_1105.tar.bz2”h0Œ@4a353163a8f19b8f0c08cb11624263ab9df6b3bd5c0efcf063b7d684a835c7d5”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡ØÑÛ#hEJ/Ä hFˆubh)”}”(hŒr-apatables”h#Œ2.0.8”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ'r-apatables-2.0.8-r36hc72bb7e_0.tar.bz2”h+Œ 34b6a7c4c4386b29fc03f85f01545ed8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-apatables-2.0.8-r36hc72bb7e_0.tar.bz2”h0Œ@7e3b76b97e76b3230c5c20239c93349d542da29c189ae321228f324493271661”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-boot”Œr-broom”Œr-car”Œr-dplyr”Œr-mbess”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGA×üßèÏ|îhEJ½Î hFˆubh)”}”(hŒh11”h#Œ0.12.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒh11-0.12.0-pyhd8ed1ab_0.tar.bz2”h+Œ a8c3c313e5339029946b66070cf24b39”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/h11-0.12.0-pyhd8ed1ab_0.tar.bz2”h0Œ@70af3c4858eafff05bf833ed0b77a559835ece2c10cd3256263d17356d14d5ed”h2NhNh3Œ
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r-optparse”h#Œ1.7.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-optparse-1.7.3-r42hc72bb7e_1.tar.bz2”h+Œ dd26c88c81a6f1a418a81a1b5f1ca9a4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-optparse-1.7.3-r42hc72bb7e_1.tar.bz2”h0Œ@e2cbcb0c908dd54259e1548f6685043f8db52e1a425fc385f3ed55f10c428a62”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-getopt >=1.20.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ>¤;hEJ:f hFˆubh)”}”(hŒr-nada”h#Œ1.6_1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-nada-1.6_1.1-r42hc72bb7e_2.tar.bz2”h+Œ 27a9ec6eabb1ff14600020c5fbfc8fb1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nada-1.6_1.1-r42hc72bb7e_2.tar.bz2”h0Œ@42ea8a101f421d3fd810306bb9e507d0d7804e17fbebcf9f70ea8578669fe921”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-survival”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑyffhEJo hFˆubh)”}”(hŒr-magic”h#Œ1.6_1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-magic-1.6_1-r42hc72bb7e_0.tar.bz2”h+Œ 0adaf5310809c251711af91ff881ad1d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-magic-1.6_1-r42hc72bb7e_0.tar.bz2”h0Œ@0b8145d7b17b2658f6b23e8fc4b29464de9640486dd899ccd642ffca29f6a442”h2NhNh3Œr-abind”Œr-base >=4.2,<4.3.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÝ//hA‰hEJt hFˆubh)”}”(hŒlibsepol-devel-cos7-ppc64le”h#Œ2.5”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libsepol-devel-cos7-ppc64le-2.5-h9b0a68f_1105.tar.bz2”h+Œ 678257634536ce114c55809eb2b6133e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-ppc64le-2.5-h9b0a68f_1105.tar.bz2”h0Œ@c035c1db79b6a82287d42f662ba3c9ddfb81db0ecd6bca7a5061ccf92f878937”h2NhNh3Œ"libsepol-cos7-ppc64le ==2.5 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@ŒáK•hEM“¯hFˆubh)”}”(hŒr-genemodel”h#Œ1.1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-genemodel-1.1.0-r36h6115d3f_1.tar.bz2”h+Œ e9cb0208d50b0bf47639f38e5fa11579”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-genemodel-1.1.0-r36h6115d3f_1.tar.bz2”h0Œ@1924cf17627606859f71f0071a7d3025b2d93150f3b7a436b85755a2d33ba95d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-stringr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬ÊêÃ•hEJB5 hFˆubh)”}”(hŒpenaltymodel-lp”h#Œ0.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*penaltymodel-lp-0.1.6-pyhd8ed1ab_0.tar.bz2”h+Œ 2c1931cca99c559de768283255ad01bd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/penaltymodel-lp-0.1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@83d51546a6c5499a7cdfdea53e7f5a0b53b9df66bd91e43eb2018fdd8f4c0d0c”h2NhNh3(Œdimod >=0.8.0,<0.11.0”Œnumpy >=1.19.1,<2.0.0”Œpenaltymodel >=0.16.0,<0.17.0”Œpython >=3.6”Œscipy >=1.5.2,<2.0.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ F$ÝhEM 9hFˆubh)”}”(hŒr-cyphr”h#Œ1.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-cyphr-1.1.4-r41hc72bb7e_0.tar.bz2”h+Œ 73ad5aea1cea80e1a62e87069dadee24”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-cyphr-1.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@2394572f547b45df909c5028aadeaaa2888c1138f6709c3c197f7abd0c636007”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-getpass”Œr-openssl >=0.9.9”Œr-sodium >=1.2.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¬<£sC–hEJí hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ+r-cellranger-1.1.0-r40h6115d3f_1003.tar.bz2”h+Œ 4b14e72b3b667142d887c369ee2bd051”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r40h6115d3f_1003.tar.bz2”h0Œ@3c3c2d8c3bbfae600beb350d883f80152c3ba87c32645c11ed1cca73b61b93fa”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×«Ón˜hEJ
® hFˆubh)”}”(hŒr-adgoftest”h#Œ0.3”h%Œr36_1003”h'Mëhhh(h)hŒ r-adgoftest-0.3-r36_1003.tar.bz2”h+Œ 47bf02cf716dc763b8d231b2f570937b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-adgoftest-0.3-r36_1003.tar.bz2”h0Œ@a96893a24dfa6b31bb0bd9395bba5f7fd15ba3066c97e10b5da3265471c72b8e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×¬%YÛ#hEMz{hFˆubh)”}”(hŒpycwt”h#Œ0.3.0a22”h%Œpy_0”h'K hhh(h)hŒpycwt-0.3.0a22-py_0.tar.bz2”h+Œ 7c5c2e3b0b35c42df45cfbb3ba4aecbf”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pycwt-0.3.0a22-py_0.tar.bz2”h0Œ@de2ded3fddfd8ae3b410683fa835365e3c4264c5f340de85c5db074b00da885c”h2NhNh3(Œnumpy”Œpython”Œscipy”Œtqdm”t”h9h?h@ŒBSD-3-clause”hBŒBSD”hEMFhFˆubh)”}”(hŒdefopt”h#Œ6.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!defopt-6.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 33b15d9c6efa770db11927bafb088a7a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/defopt-6.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@04f2512a2a6197f3262280420ee23a6259c146f96ff8cc38b1ceadd26dc0b91d”h2NhNh3(Œcolorama >=0.3.4”Œdocutils >=0.12”Œpython >=3.8”Œsphinxcontrib-napoleon >=0.7.0”Œtyping_inspect >=0.5.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØµÌ…Å¸hEM[OhFˆubh)”}”(hŒ	pynlp-lib”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pynlp-lib-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 9ec7ce2a6774b17e322c0025aedfb25c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pynlp-lib-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@66884f101862003d27867207c37d7f411caa5ce4cafe0a9219cd2378cce332e2”h2NhNh3Œdeepgram-sdk”Œpython >=3.7”Œrequests”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÆ¨k…hEMO1hFˆubh)”}”(hŒjupyter-resource-usage”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1jupyter-resource-usage-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ b776d2ff20c535f74e27207267c6641a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/jupyter-resource-usage-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0aad20cd46539c605a35f19f06828fb4b7ed19251220d49a7322c288fa5e8e01”h2NhNh3Œnotebook”Œpsutil”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ø"e¥¸hEMhqhFˆubh)”}”(hŒkeras-preprocessing”h#Œ1.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.keras-preprocessing-1.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ a79b00989a0d89791021902f37fe2f9e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/keras-preprocessing-1.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1d9d0ca9c5fbc0baf8a9deac50a6478988eaf499bf9c6399a84c8f6225d39f87”h2NhNh3(Œnumpy >=1.9.1”Œpython >=3.6”Œscipy >=0.14”Œsix >=1.9.0”t”h6Œkeras >=2.1.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ b•í?}hEMS‰hFˆubh)”}”(hŒr-generalizedhyperbolic”h#Œ0.8_4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ3r-generalizedhyperbolic-0.8_4-r42hc72bb7e_1.tar.bz2”h+Œ ae2c004efb64f8f8e56904f7bdbfb23a”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-generalizedhyperbolic-0.8_4-r42hc72bb7e_1.tar.bz2”h0Œ@ce354827d3f55ec262fba082213d45954987d41680036351e6f391713a43937b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-distributionutils”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑSçìí‘hEJ{\	 hFˆubh)”}”(hŒr-tfplot”h#Œ2021.6_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-tfplot-2021.6_1-r42hc72bb7e_1.tar.bz2”h+Œ 4f40d663209b8b2dd70e3f0bc0ab55ed”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tfplot-2021.6_1-r42hc72bb7e_1.tar.bz2”h0Œ@6559ec798b97d65012e52f33d51bb9f5847c0b0040b59e5021a707a01f49338c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-tframe”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑEð-`BhEJK hFˆubh)”}”(hŒjupyter_latex_envs”h#Œ1.4.6”h%Œpyhd8ed1ab_1002”h'Mêhhh(h)hŒ0jupyter_latex_envs-1.4.6-pyhd8ed1ab_1002.tar.bz2”h+Œ 4b888fd7d6b4cdb6736878b2cf8ea951”h.Œ^https://conda.anaconda.org/conda-forge/noarch/jupyter_latex_envs-1.4.6-pyhd8ed1ab_1002.tar.bz2”h0Œ@4927e74b5878011771cbaebc2a119bb1066a41ceca0609e9b15dfd4c11969ba2”h2NhNh3(Œipython”Œjupyter_contrib_core >=0.3”Œ	nbconvert”Œnotebook >=4.0”Œpython >=2.7”Œ
setuptools”Œtraitlets >=4.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ,>2¬hEJkz hFˆubh)”}”(hŒlibice-devel-cos7-aarch64”h#Œ1.0.9”h%Œha826a6f_103”h'Kghhh(h)hŒ4libice-devel-cos7-aarch64-1.0.9-ha826a6f_103.tar.bz2”h+Œ 13d725e454c4c0bc3e3ae120022a971c”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-aarch64-1.0.9-ha826a6f_103.tar.bz2”h0Œ@d44c7bb5c640c9cdcfc5b60758f163d56168512ee26bf9ae4966f160f770f9b9”h2NhNh3Œ!libice-cos7-aarch64 ==1.0.9 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{”Í¸hEMtœhFˆubh)”}”(hŒgast”h#Œ0.4.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒgast-0.4.0-pyh9f0ad1d_0.tar.bz2”h+Œ 42323c77b73462199fca93bc8ac9279d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/gast-0.4.0-pyh9f0ad1d_0.tar.bz2”h0Œ@0f7eff1aab91ec3ac2eb3bbace1297fd71c16d235503222c3da89428ac562a63”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ËuÖþ—hEM%0hFˆubh)”}”(hŒsusi”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsusi-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ eddc32f8163879ab981e181b419dd915”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/susi-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1ecf62f81d6ddd33be409c7d0a116218bec8fcec624789314114cd04db56fea7”h2NhNh3(Œjoblib >=0.13.0”Œmatplotlib-base >=3.3.0”Œnumpy >=1.18.5”Œpandas >=1.1.5”Œpython >=3.7”Œscikit-learn >=0.21.1”Œscipy >=1.3.1”Œseaborn >=0.11.0”Œtqdm >=4.45.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØm-àA%hEM\hFˆubh)”}”(hŒr-genabel.data”h#Œ1.0.0”h%Œr35_1002”h'Mêhhh(h)hŒ%r-genabel.data-1.0.0-r35_1002.tar.bz2”h+Œ 54dae9a7fb892ad4e67f0a46d77211d1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-genabel.data-1.0.0-r35_1002.tar.bz2”h0Œ@72b8671a603f36b2ba9a5b0b97d64ab94e1532582a52c43e27876cae105984df”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÈ(õÃhEJ“1% hFˆubh)”}”(hŒ
r-sigclust”h#Œ1.1.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-sigclust-1.1.0.1-r40hc72bb7e_0.tar.bz2”h+Œ 33eb068834bcb09dff2a3001fc28796e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sigclust-1.1.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@0d0bcf89f4f5697bb2be76aee53ae7d922cf23e1b008bbac7ff74aa1d62d85f4”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ®û,Ö{hEM½öhFˆubh)”}”(hŒr-rpivottable”h#Œ0.3.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ)r-rpivottable-0.3.0-r35h6115d3f_1.tar.bz2”h+Œ 8a142cfd8d7ab987b805c6ae1576e0d3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rpivottable-0.3.0-r35h6115d3f_1.tar.bz2”h0Œ@d5c64a401c30b2eb14a18a234bc260fb4c8b174e7b4691768cc4ad4df5481be2”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-htmlwidgets >=0.5”†”h9hºh@ŒMIT”hBŒMIT”hDGA×LªÍI©ühEJF hFˆubh)”}”(hŒlibsm-cos7-ppc64le”h#Œ1.2.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libsm-cos7-ppc64le-1.2.2-h9d98e8f_1104.tar.bz2”h+Œ c3f4f2ca63262b7a5f80cc6828998845”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsm-cos7-ppc64le-1.2.2-h9d98e8f_1104.tar.bz2”h0Œ@b3c8a10e96b3c3997ed1d49368dbb2028b32be6d8877a4977387ee5c149439e4”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz¡uOßhEMÔhFˆubh)”}”(hŒr-egg”h#Œ0.4.5”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ!r-egg-0.4.5-r41hc72bb7e_3.tar.bz2”h+Œ 72514d1d62bffac01fa543115601330e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-egg-0.4.5-r41hc72bb7e_3.tar.bz2”h0Œ@09fa62a85bf92e3ff400c44d594dad36c5176e4c030b66e9263714bd8008b2c6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gridextra >=2.3”Œr-gtable”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ€'ÔýôhEJCâ hFˆubh)”}”(hŒ
r-rcppdate”h#Œ0.0.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-rcppdate-0.0.3-r42hc72bb7e_1.tar.bz2”h+Œ 5519400901117cd53b24be1bbbc7c963”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rcppdate-0.0.3-r42hc72bb7e_1.tar.bz2”h0Œ@88a0a12443842fd64e53b647fca36006f593eceb94f5021ac34a3c1542264935”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐñï+hEJz hFˆubh)”}”(hŒ
frozendict”h#Œ2.3.0”h%Œpyh6acc77f_3”h'Khhh(h)hŒ%frozendict-2.3.0-pyh6acc77f_3.tar.bz2”h+Œ 2ecc5ca8f7a2bdcee7a68f0d1baaa46d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/frozendict-2.3.0-pyh6acc77f_3.tar.bz2”h0Œ@44ca3274c24aaaaea1cadbeb05e9a2d45f11100980ec84355893d300dda8fe1c”h2NhNh3Œpython”…”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ’}Ø“uhEMh7hFˆubh)”}”(hŒmultivolumefile”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*multivolumefile-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 03b6dfb1a5acc0b54819bb1143f7ad8d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/multivolumefile-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@db479d302578a049ca63a56c0a925ada45286622842cab300de0c165f08b1180”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-2.1”hDGAØ9(¤ã33hEMSRhFˆubh)”}”(hŒr-value”h#Œ2.2.2”h%Œr40ha770c72_2”h'Khhh(h)hŒ#r-value-2.2.2-r40ha770c72_2.tar.bz2”h+Œ 60e1aaa481c7b96bd96d40d4f8c87d9e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-value-2.2.2-r40ha770c72_2.tar.bz2”h0Œ@06703e90273dc3272f48204d046861a26e6ec16a59d2751c4a3056264f41d75e”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-evd”Œr-loader >=1.4.10”Œ
r-magrittr”Œ	r-pbapply”Œr-rcppeigen”Œr-rcurl”Œr-signal”Œr-transformer”Œr-verification”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ×¯ïKÇhEJ–3qhFˆubh)”}”(hŒesgf-pyclient”h#Œ0.3.1”h%Œpyh6c4a22f_1”h'Khhh(h)hŒ(esgf-pyclient-0.3.1-pyh6c4a22f_1.tar.bz2”h+Œ ca750cf2d38b14dd944de4c7e4720c8f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/esgf-pyclient-0.3.1-pyh6c4a22f_1.tar.bz2”h0Œ@bcc40437f60a8beeaaec86369f15db0c871de1b5a031145eb7b0225f9a902a45”h2NhNh3(Œ
defusedxml”Œjinja2”Œmyproxyclient”Œpython >=3.6”Œrequests”Œrequests_cache”Œwebob”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØˆtî<ýôhEM7XhFˆubh)”}”(hŒr-startupmsg”h#Œ0.9.6”h%Œr35h6115d3f_1”h'Khhh(h)hŒ(r-startupmsg-0.9.6-r35h6115d3f_1.tar.bz2”h+Œ dc5d3bacbd93f3b2cc04899df25fbdae”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-startupmsg-0.9.6-r35h6115d3f_1.tar.bz2”h0Œ@2fb6e5b13eccc3ace93172f25278295ff633319bf9b77e11e312b92da21f5ecf”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×L/Ô¾—hEM¾hFˆubh)”}”(hŒyapsy”h#Œ1.12.2”h%Œpy_0”h'K hhh(h)hŒyapsy-1.12.2-py_0.tar.bz2”h+Œ c991675c5205fd81d571f62def048756”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/yapsy-1.12.2-py_0.tar.bz2”h0Œ@b4c46156d768ff907b76b83a60a0ee2241e204ea60a48327ce71a11b73dd4496”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×QÑÚºÐåhEMžqhFˆubh)”}”(hŒ	r-memoise”h#Œ2.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-memoise-2.0.1-r42hc72bb7e_1.tar.bz2”h+Œ 09eed81f8d22963b0c0ffc8795a380ff”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-memoise-2.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@d372daa641ec4261107ab46dfd6aa8e678af9418b0ab5ddb2dc70da6ed8067b0”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-cachem”Œr-rlang >=0.4.10”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ.CŸ²hEMYæhFˆubh)”}”(hŒ	r-rmallow”h#Œ1.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ#r-rmallow-1.1-r40hc72bb7e_1.tar.bz2”h+Œ eead33b19a8da0e505c43318f2ca61e0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rmallow-1.1-r40hc72bb7e_1.tar.bz2”h0Œ@e9018d76025261d228bc737cddda42b044f347df36dbf5e159d016013586b445”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-combinat”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+gD‹DhEJ½Ó hFˆubh)”}”(hŒete3”h#Œ3.1.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒete3-3.1.2-pyh9f0ad1d_0.tar.bz2”h+Œ f44995b47ebb269fe86eac590f019857”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ete3-3.1.2-pyh9f0ad1d_0.tar.bz2”h0Œ@c101ece5ab36eb816a3645715c2091b5238b4044f26639a5db67dbe71c086ac0”h2NhNh3(Œlxml”Œnumpy”Œpyqt >=4.11.*”Œpython”Œscipy”Œsix”Œ
xorg-libsm”Œxorg-libxau”Œxorg-libxdmcp”Œxorg-libxext”Œxorg-libxrender”Œxorg-xextproto”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×Ùõ$ÝhEJÄþ hFˆubh)”}”(hŒ
r-treebase”h#Œ0.1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-treebase-0.1.4-r41hc72bb7e_1.tar.bz2”h+Œ 5164419014887040d3ca5a4cc570e24f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-treebase-0.1.4-r41hc72bb7e_1.tar.bz2”h0Œ@6c6897e601b563557ed87388d439ba6d8ab4e6603a7b1a4e970526fd71c6b6e4”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-httr”Œr-rcurl”Œr-xml”t”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÑö«ÌýôhEJtpB hFˆubh)”}”(hŒr-mlogit”h#Œ1.1_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-mlogit-1.1_1-r42hc72bb7e_1.tar.bz2”h+Œ 03c882b1348a432c94e8aaa5e8f15f8d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mlogit-1.1_1-r42hc72bb7e_1.tar.bz2”h0Œ@ab73872047bb1ec1f4b4c43e9a8c4cfbebe282d4b2624d7dc52608f35eb8f9fe”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dfidx”Œ	r-formula”Œr-lmtest”Œr-mass”Œr-rdpack”Œ	r-statmod”Œr-zoo”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑZ1ÔzáhEJƒd hFˆubh)”}”(hŒr-proto”h#Œ1.0.0”h%Œr40_2003”h'MÓhhh(h)hŒr-proto-1.0.0-r40_2003.tar.bz2”h+Œ a044d1311aac5736a668c8954275eff1”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-proto-1.0.0-r40_2003.tar.bz2”h0Œ@88750a399d816b732b23be84cc163984fe38ae7382f016fa2efd80252755d79e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×«ÞˆÒn˜hEJ?_ hFˆubh)”}”(hŒr-checkpoint”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-checkpoint-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ efaa500ab8772ea27cc130c1fc856571”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-checkpoint-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@8f4cefe477e24b0a8ad9ab625cacf8cceeb5f3b5a896a798b75fb7459ec9c313”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
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rtd-poetry”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%rtd-poetry-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2dd31d25bae39eb9f1b3e8fd8cc529f1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/rtd-poetry-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@411571f010b1ad9ab79e576f61fd5cd69eac78ccb80b2fabdb80b72584dc1325”h2NhNh3Œintreehooks”Œpoetry”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØf¶¬hEMhFˆubh)”}”(hŒ	r-ggfocus”h#Œ1.0.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-ggfocus-1.0.0-r40h6115d3f_1.tar.bz2”h+Œ fd06588bda28fa0481a5b19d3df7e5b6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ggfocus-1.0.0-r40h6115d3f_1.tar.bz2”h0Œ@214536a65e5db643885b3b9583d969a12b9785c6fa7eed22c68ae402351130e8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-ggplot2”Œ
r-magrittr”Œr-rcolorbrewer”Œr-rlang”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬È[í?}hEJ­ï
 hFˆubh)”}”(hŒlibnl-devel-cos6-x86_64”h#Œ1.1.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libnl-devel-cos6-x86_64-1.1.4-ha826a6f_1103.tar.bz2”h+Œ df81cc86ed5218e943d3261c039e7271”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos6-x86_64-1.1.4-ha826a6f_1103.tar.bz2”h0Œ@ccd6e4fa0428e2f5f131889f3fe53cd8b365f3fe20c895f33668d457b003142e”h2NhNh3Œ libnl-cos6-x86_64 ==1.1.4 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ1æ6¸RhEJ$`	 hFˆubh)”}”(hŒxcb-util-wm-devel-cos7-ppc64le”h#Œ0.4.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ9xcb-util-wm-devel-cos7-ppc64le-0.4.1-h9d98e8f_104.tar.bz2”h+Œ 814b3bdadf6faf7cd9153fe12b2fd0e2”h.Œghttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-devel-cos7-ppc64le-0.4.1-h9d98e8f_104.tar.bz2”h0Œ@1dc52f767717a0d07245fcf46c706e8794a5e4d4d4b510dd48980655b635291c”h2NhNh3Œ&xcb-util-wm-cos7-ppc64le ==0.4.1 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Óø]?}hEMZMhFˆubh)”}”(hŒswagger-ui-bundle”h#Œ0.0.6”h%Œpy_0”h'K hhh(h)hŒ$swagger-ui-bundle-0.0.6-py_0.tar.bz2”h+Œ de881eb9fc0ec2ccc123717b927c06e4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/swagger-ui-bundle-0.0.6-py_0.tar.bz2”h0Œ@815ba53acf98feae1cb814a6743eff4bd186411f2691edbd5d1d6892024e1b46”h2NhNh3Œjinja2 >=2.0”Œpython”†”h9h?h@ŒApache Version 2.0”hBŒAPACHE”hDGA×u±êÐ  hEJÂz- hFˆubh)”}”(hŒrb-tty-cursor”h#Œ0.7.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ&rb-tty-cursor-0.7.1-hc42de5b_0.tar.bz2”h+Œ 5da27aedff33f0f95f94ffa9e5f42fb7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/rb-tty-cursor-0.7.1-hc42de5b_0.tar.bz2”h0Œ@1bc9b9b5595f0db84492c6ce42eec36af0211cadb1dee28d49f8b93ac674609e”h2NhNh3Œruby >=2.6.5,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ŒÈ\_|îhEMb\hFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ)r-icluster-2.1.0-r36h6115d3f_1002.tar.bz2”h+Œ 21bf9d1ca1b93c7e7d6b9ba92326b803”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r36h6115d3f_1002.tar.bz2”h0Œ@7e17db7eeca8bdf83cf74b31cdff5e4580fd912e9225cfee25e4523c66f6d72b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M.øƒhEJy.& hFˆubh)”}”(hŒr-modeltools”h#Œ0.2_23”h%Œr35h6115d3f_0”h'K hhh(h)hŒ)r-modeltools-0.2_23-r35h6115d3f_0.tar.bz2”h+Œ 0c267657d3b73b8c225eaac63e8aae82”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-modeltools-0.2_23-r35h6115d3f_0.tar.bz2”h0Œ@d00752441dfa58159c44b83c1a322095086a87ef572b25ef8af2b820e9ef8b3e”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×˜='Ï²hEJ6  hFˆubh)”}”(hŒr-productplots”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-productplots-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ f55b318028a53d5bf520ddc36c26ca24”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-productplots-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@0a4ec73393fc6f3c2fff9fcdc932644f870bcd729cc38e497551898632359c72”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-plyr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØwÆ@åhEJõè hFˆubh)”}”(hŒ	r-investr”h#Œ1.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-investr-1.4.2-r41hc72bb7e_0.tar.bz2”h+Œ 4222ff737423782d31d340a5416b6030”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-investr-1.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@902af5ae8a8d19680f3e47ed2bff2ef1a2ca845534c6b98a31b9084aa7bd30d7”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-nlme”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ‘f¡3…hEJäk hFˆubh)”}”(hŒ	r-tfisher”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-tfisher-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ a54461cf8f6c0db1708b957b8a0b5367”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tfisher-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@5cd4f50e02bae406407f24daa86117c968ee8caf8ed9f43e6959019d1fefbdee”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-matrix”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ÝKìzáhEJÍp hFˆubh)”}”(hŒhttplib2”h#Œ0.20.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$httplib2-0.20.4-pyhd8ed1ab_0.tar.bz2”h+Œ 3e95f321d7ea7811acf87c288c426095”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/httplib2-0.20.4-pyhd8ed1ab_0.tar.bz2”h0Œ@75a43840bf8224d9cf6c3ccb2a83a743e8acd115c0f4aca6e4a50b9d3edb902a”h2NhNh3Œpyparsing >=2.4.2,<4”Œ
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fenics-ufl”h#Œ2019.1.0”h%Œpy_2”h'Khhh(h)hŒ fenics-ufl-2019.1.0-py_2.tar.bz2”h+Œ 4983c21c1e667369dc9441a75e18ddda”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2019.1.0-py_2.tar.bz2”h0Œ@4d7c3ecb021d85495ac72797cc970e1961bbaa0b13cb7f54e31abe9391fe3f41”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×>Èº3Æ¨hEJ ¢ hFˆubh)”}”(hŒuproot4”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"uproot4-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ f8435f158225d570c7039da6904635d3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/uproot4-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@18a5b0309bd320133cb0977106cca2eb6dd318ec78eb03d2d627a13e7a2b21df”h2NhNh3Œnumpy”Œpython >=3.5”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ê÷c$‹DhEJµå hFˆubh)”}”(hŒruamel.yaml.jinja2”h#Œ0.2.4”h%Œpy_1”h'Khhh(h)hŒ%ruamel.yaml.jinja2-0.2.4-py_1.tar.bz2”h+Œ 12f4cc11476f0f9ef90102792732ee38”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ruamel.yaml.jinja2-0.2.4-py_1.tar.bz2”h0Œ@baf55a7a8929705f7dfe16f6df7e47afb657b9cc79672710f8b660f0604b33ed”h2NhNh3Œpython”Œruamel.yaml >=0.15.10”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ï
=hEMYhFˆubh)”}”(hŒjupyterlab-blockly”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-jupyterlab-blockly-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ fd52a4d43ede02f09ca955657bd168b9”h.Œ[https://conda.anaconda.org/conda-forge/noarch/jupyterlab-blockly-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@37fa1b9b675692948105da4d73b1400c85462f09aa528916a0a861fe3fb5412c”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ½”ã9XhEJh­ hFˆubh)”}”(hŒr-sda”h#Œ1.3.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-sda-1.3.8-r41hc72bb7e_1.tar.bz2”h+Œ 2fc139bdc1f15dd20058c3a287f8738a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sda-1.3.8-r41hc72bb7e_1.tar.bz2”h0Œ@c5b90eacb30117720f42a426bbd5aae286420c70f57e8da8e40f3c27e97aa1d0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-corpcor >=1.6.8”Œr-entropy >=1.2.1”Œr-fdrtool >=1.2.15”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ£QìhEJk> hFˆubh)”}”(hŒchalk”h#Œ3.0.0”h%j3G h'K hhh(h)hŒchalk-3.0.0-0.tar.bz2”h+Œ eeb6d90e15cf747bb6ba96ebe5583d00”h.ŒChttps://conda.anaconda.org/conda-forge/noarch/chalk-3.0.0-0.tar.bz2”h0Œ@ca10c5afce74f51529e39ba6ddfe8d4bc61aa78e870eed955b6bda332a01d0a2”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×u¶N¾vÉhEMì‚hFˆubh)”}”(hŒexec-wrappers”h#Œ1.1.4”h%Œpy_0”h'K hhh(h)hŒ exec-wrappers-1.1.4-py_0.tar.bz2”h+Œ ab6363fd3c8ed0f86f9e58409c2638c9”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/exec-wrappers-1.1.4-py_0.tar.bz2”h0Œ@4f08411d71fbd93853b446e36c9c584444c2ee9033ccc76c0d00ecfd3cb0253f”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ss’RÐåhEM¡'hFˆubh)”}”(hŒjupyter”h#Œ1.0.0”h%Œpy_2”h'Khhh(h)hŒjupyter-1.0.0-py_2.tar.bz2”h+Œ 46b26993ed7c689863313a03ee39e5e3”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/jupyter-1.0.0-py_2.tar.bz2”h0Œ@a6e96f3537b6a88c85b0213fbaafb2154c68fceb001c71e973ebc4f1c26bf7bc”h2NhNh3(Œ	ipykernel”Œ
ipywidgets”Œjupyter_console”Œ	nbconvert”Œnotebook”Œpython”Œ	qtconsole”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×&z>áHhEMhFˆubh)”}”(hŒ
r-r.matlab”h#Œ3.7.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-r.matlab-3.7.0-r41hc72bb7e_0.tar.bz2”h+Œ 38ae904c4fa04abfed6a0adce760180f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-r.matlab-3.7.0-r41hc72bb7e_0.tar.bz2”h0Œ@9572ebefe14ccd1104112f6429fdd85cb6913528c194df76078de7c655d034d3”•      h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-r.methodss3 >=1.7.1”Œr-r.oo >=1.21.0”Œr-r.utils >=2.5.0”t”h9hºh@ŒLGPL-2.1-only”hBŒLGPL”hDGAØÂ1  ÅhEJÅz hFˆubh)”}”(hŒrowan”h#Œ1.3.0.post1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&rowan-1.3.0.post1-pyh9f0ad1d_0.tar.bz2”h+Œ 57783a36ef243922c6bc50cc11472a64”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/rowan-1.3.0.post1-pyh9f0ad1d_0.tar.bz2”h0Œ@42d70124ef1b42e3b9fa170474b0d0682462e2e3236d6c900880c27f9b21e6b2”h2NhNh3Œnumpy >=1.10”Œpython”†”h9h?h@ŒBSD-3”hBŒBSD”hDGA×»Ú$jhEMŽihFˆubh)”}”(hŒr-patpro”h#Œ1.1.0”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ'r-patpro-1.1.0-r40h6115d3f_1003.tar.bz2”h+Œ e29193095ade941ef090d5bb29c316a2”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-patpro-1.1.0-r40h6115d3f_1003.tar.bz2”h0Œ@c291aee4a14014e63caac1963f220e9da20c76bad82e5dc21e8d6c7bb64c56cd”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬š(´›¦hEJ1÷ hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy39h1234567_1”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py39h1234567_1.tar.bz2”h+Œ 1ee3f0d5f2a760478b44c9f6d8926ce6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py39h1234567_1.tar.bz2”h0Œ@4df607cb97ec6901addc79b0a75e8f4b5c78629da784ef6e58da239ecda4d268”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØˆ9&º^hEMlúhFˆubh)”}”(hŒlibx11-common-cos6-x86_64”h#Œ1.6.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4libx11-common-cos6-x86_64-1.6.4-hdf0574f_102.tar.bz2”h+Œ 6cd57b62b419c36004ce653363a4384a”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos6-x86_64-1.6.4-hdf0574f_102.tar.bz2”h0Œ@8b54bb0f3eb61717a214bdb6844008695be2ab8042827f39aa36dbf00db814fb”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å*ë„ÌÍhEJ¤H hFˆubh)”}”(hŒrdma-core-cos7-x86_64”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0rdma-core-cos7-x86_64-22.4-h9d98e8f_1104.tar.bz2”h+Œ b3ae85abc0acd7a648de9819aa2ae419”h.Œ^https://conda.anaconda.org/conda-forge/noarch/rdma-core-cos7-x86_64-22.4-h9d98e8f_1104.tar.bz2”h0Œ@3fd81220fb32921cfcdfbe7084c89a9c94383b0907f13f17c21ca4901d714fd3”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Éy†£¶FhEMã¶hFˆubh)”}”(hŒr-assertthat”h#Œ0.2.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ(r-assertthat-0.2.1-r42hc72bb7e_3.tar.bz2”h+Œ a9794b4b695f0bde4f8a3dd44d62d498”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-assertthat-0.2.1-r42hc72bb7e_3.tar.bz2”h0Œ@905884abc8be7bb4b36720976e78000fb55e2c5d8122839da04fd561b376e8b7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÐ.8fÙhEJÉ hFˆube(h)”}”(hŒr-purrrogress”h#Œ0.1.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-purrrogress-0.1.1-r40h6115d3f_1.tar.bz2”h+Œ 0632bc3f48b5080d5f508d9be4b7e5c5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-purrrogress-0.1.1-r40h6115d3f_1.tar.bz2”h0Œ@6d6604e06b8c51ace9a5e1ff0f25db9baf9e648902c7688b430646356f52f21e”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-glue”Œr-hms”Œ	r-pkgcond”Œr-purrr”Œr-r6”Œr-rlang”Œr-testextra”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¯r¡š~úhEJ’7 hFˆubh)”}”(hŒr-jjb”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-jjb-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 29f7f4eb75f9379244bff615cd253f9b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-jjb-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@a4879a8e17191a92ab7a3d8e7965df6feda42997c255ad9fa3fad50b570c64ba”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+…YÊÁhEJz… hFˆubh)”}”(hŒ python-javapackages-cos7-aarch64”h#Œ3.4.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ<python-javapackages-cos7-aarch64-3.4.1-h9d98e8f_1104.tar.bz2”h+Œ a2979321b418f1f8002f139fd86ceb8d”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-aarch64-3.4.1-h9d98e8f_1104.tar.bz2”h0Œ@6543170574f8bdea30f46936e2041a36aeb6ce59e38c87734c9132340a45f143”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉzîLýôhEM‡2hFˆubh)”}”(hŒpandas-dev-flaker”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,pandas-dev-flaker-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ a12c048b691c7eb581f519726c4b665b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/pandas-dev-flaker-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@24b918cc3fd88619d36e11c79458fcf4eeafc1d8a0fe6fca4e165ff9422535df”h2NhNh3Œflake8 >=3.8”Œimportlib-metadata”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ4¢Í?}hEMMAhFˆubh)”}”(hŒ	r-sciplot”h#Œ1.2_0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-sciplot-1.2_0-r40h6115d3f_1.tar.bz2”h+Œ eb082704fb59554afb3d467fe8835e64”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sciplot-1.2_0-r40h6115d3f_1.tar.bz2”h0Œ@3b8d6056d7a489de4ad7f3b3998510857e054bae4f9797df623a794581e3f5fe”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬?ú½ãThEMµÇhFˆubh)”}”(hŒ	r-exactci”h#Œ1.4_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-exactci-1.4_2-r41hc72bb7e_0.tar.bz2”h+Œ 00c49c2fc05cc0504469c324a26df820”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-exactci-1.4_2-r41hc72bb7e_0.tar.bz2”h0Œ@3fa1ead2d15b601de8359be47423ac5933be548b8b7a1833bddaf3468f34ac1f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ssanv”Œ
r-testthat”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ4Ü”(öhEJÐ hFˆubh)”}”(hŒ
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r-jsonlite”Œ
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condastats”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%condastats-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 744be2ad0c880fb81165056a696bea08”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/condastats-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@bbb4551ad2374fb920f11bf7179ebb20953936c19789977873b9b065057c51e3”h2NhNh3(Œdask”Œfsspec >=2021.4.0”Œnumpy >=1.16.5”Œpyarrow”Œpython >=3.6”Œpython-snappy”Œs3fs >=2021.4.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¹Ö2Aë…hEM	(hFˆubh)”}”(hŒpygix”h#Œ
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Apache-2.0”hBŒApache”hDGA×ªÑ¶$ÝhEMS-hFˆubh)”}”(hŒextras”h#Œ1.0.0”h%Œpy_1”h'Khhh(h)hŒextras-1.0.0-py_1.tar.bz2”h+Œ c4a22be9ee29ae6acd6642b3efc047b6”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/extras-1.0.0-py_1.tar.bz2”h0Œ@477c226bfb774a6c0321158de9a5d4d33da4785fb9fe12152858bcc1ed04c8b7”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÑ·¿ú¬hEM½hFˆubh)”}”(hŒpymatgen-diffusion”h#Œ	2020.10.8”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ1pymatgen-diffusion-2020.10.8-pyh9f0ad1d_0.tar.bz2”h+Œ 526e02e7fb20637aeeb95f6d6325a563”h.Œ_https://conda.anaconda.org/conda-forge/noarch/pymatgen-diffusion-2020.10.8-pyh9f0ad1d_0.tar.bz2”h0Œ@db9c00b736e197b32fd5a203e79d9b9c9590d66e115809da32e5bcad9c8feaed”h2NhNh3(Œmonty >=2.0.4”Œpip”Œpymatgen >=2019.5.8”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ßå±¹XhEM´|hFˆubh)”}”(hŒ	r-maptree”h#Œ1.4_8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-maptree-1.4_8-r41hc72bb7e_1.tar.bz2”h+Œ 7d185f38caeee1721adf80665dbd9fc8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-maptree-1.4_8-r41hc72bb7e_1.tar.bz2”h0Œ@a2523f328386f02f2832b70ef6322e840acd6ab8601e283f759fe69d50aa9409”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-rpart”‡”h9hºh@Œ	Unlimited”hBŒOTHER”hDGAØÒSbøA‰hEJd hFˆubh)”}”(hŒ	pyaml-env”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pyaml-env-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ a3bc37e2d4399db27f25ef7a44315df0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyaml-env-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f125be49d476be958672fe02b0a81d992484ce1bad9844caa628bfddaf4db89d”h2NhNh3Œpython >=3.6”Œpyyaml 5.4.1”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ>¸¯|(öhEMî*hFˆubh)”}”(hŒr-textfeatures”h#Œ0.3.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ*r-textfeatures-0.3.3-r40hc72bb7e_1.tar.bz2”h+Œ f23955aa447163ed23191186cb656285”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-textfeatures-0.3.3-r40hc72bb7e_1.tar.bz2”h0Œ@dc248c642d0fc3f830260b918365ac32c756efc64d0f0517ca76066ea0a43a62”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-purrr”Œr-rlang”Œ
r-text2vec”Œr-tfse”Œr-tibble”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÒCMÓhEJÓ( hFˆubh)”}”(hŒr-txtq”h#Œ0.2.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-txtq-0.2.4-r40hc72bb7e_0.tar.bz2”h+Œ a4f917846ea2647198f13a3c42dbb963”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-txtq-0.2.4-r40hc72bb7e_0.tar.bz2”h0Œ@953184d6621a010b577d77c4a6c375db2cafd22ba6f47d96900c1bce6ab29229”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64url”Œ
r-filelock”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØäP¸å`hEJ†( hFˆubh)”}”(hŒrdma-core-devel-cos7-ppc64le”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ7rdma-core-devel-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h+Œ dd46c56dadb37f704ada308cd5d63f46”h.Œehttps://conda.anaconda.org/conda-forge/noarch/rdma-core-devel-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h0Œ@f1c907add1ba167b3a1895ae38f927b8aecf7f66b27e3abe6ce6ecbd2b5b15ac”h2NhNh3(Œ ibacm-cos7-ppc64le ==22.4 *_1103”Œ$libibumad-cos7-ppc64le ==22.4 *_1103”Œ%libibverbs-cos7-ppc64le ==22.4 *_1103”Œ$librdmacm-cos7-ppc64le ==22.4 *_1103”Œ$rdma-core-cos7-ppc64le ==22.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È-_;dhEJ´ hFˆubh)”}”(hŒappnope”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"appnope-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 54ac328d703bff191256ffa1183126d1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/appnope-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@b209a68ac55eb9ecad7042f0d4eedef5da924699f6cdf54ac1826869cfdae742”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ’»€;dZhEMŸhFˆubh)”}”(hŒnss-cos7-ppc64le”h#Œ3.44.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,nss-cos7-ppc64le-3.44.0-h9d98e8f_104.tar.bz2”h+Œ 8309dc918ddd5c17a6e813c042a3ce32”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos7-ppc64le-3.44.0-h9d98e8f_104.tar.bz2”h0Œ@6cd5ed05cfc2bd7d63c8be8dacd9a4ae9cb2e009aa7f11706a4d83e1c41aa976”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_104”Œ'nss-softokn-cos7-ppc64le >=3.44.0 *_104”Œ$nss-util-cos7-ppc64le >=3.44.0 *_104”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É}ä‹çmhEJxS hFˆubh)”}”(hŒlibxcb-cos6-x86_64”h#Œ1.12”h%Œhdf0574f_1102”h'MNhhh(h)hŒ-libxcb-cos6-x86_64-1.12-hdf0574f_1102.tar.bz2”h+Œ 007e3f9cbf44e5d5b0425ab78a8019ba”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos6-x86_64-1.12-hdf0574f_1102.tar.bz2”h0Œ@f3230d5e0a6bcc2498f1fa14b17a688882fed05a900113ae9b1015de1ad807c8”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´²©º^hEJ¥ hFˆubh)”}”(hŒmesa-libgbm-cos6-x86_64”h#Œ11.0.7”h%Œh1795305_1101”h'MMhhh(h)hŒ4mesa-libgbm-cos6-x86_64-11.0.7-h1795305_1101.tar.bz2”h+Œ 82d020315e4af963d83501f07d91c118”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos6-x86_64-11.0.7-h1795305_1101.tar.bz2”h0Œ@036254b2c7379c999f61a2a4011ba9e805d1555b54d7d1e15186c46c2f2c3ed3”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅO„›¦hEM×‚hFˆubh)”}”(hŒr-blme”h#Œ1.0_5”h%Œr41ha770c72_0”h'K hhh(h)hŒ"r-blme-1.0_5-r41ha770c72_0.tar.bz2”h+Œ f1d09635b6ce8f9aeeea64496150c49c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-blme-1.0_5-r41ha770c72_0.tar.bz2”h0Œ@8b0a0c8e4f78a3d144e3184949fb89710b33dd38d14893afd5e39938e08392d3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-lme4 >=1.0_6”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+<ŸmÂhEJ>2 hFˆubh)”}”(hŒslacker”h#Œ0.14.0”h%Œpy_0”h'K hhh(h)hŒslacker-0.14.0-py_0.tar.bz2”h+Œ ea6b3b3b8babd487cdbcccb7f42c2ccf”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/slacker-0.14.0-py_0.tar.bz2”h0Œ@538123085acedfca171b979eab88674c0fa2ffc9879ff62fe8c57484f8743940”h2NhNh3Œpython”Œrequests”†”h9h?h@Œ
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whitenoise”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×™Ó“w+hEM hFˆubh)”}”(hŒmypy-ls”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"mypy-ls-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ fce79110c0a1d0c0ee6881e7564bfeb8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mypy-ls-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9d8137150dc8ba07fe2b6f78a7f19d4b85cf08d1c4e658b43d6b3210fc5cf8c2”h2NhNh3Œmypy”Œpython >=3.6”Œpython-lsp-server”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ4=ƒ"ÑhEM
)hFˆubh)”}”(hŒfribidi-cos7-ppc64le”h#Œ1.0.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ0fribidi-cos7-ppc64le-1.0.2-ha826a6f_1103.tar.bz2”h+Œ f84b560762f50820589a7cbbc9b126ea”h.Œ^https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-ppc64le-1.0.2-ha826a6f_1103.tar.bz2”h0Œ@ff95cf95b0f44a4c52c155672585b65f2b9f95b0cbbee9a5d656daf4c79c1dc5”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGA×Æ0R:=qhEJ>; hFˆubh)”}”(hŒfontconfig-devel-cos7-ppc64le”h#Œ2.13.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ:fontconfig-devel-cos7-ppc64le-2.13.0-ha826a6f_1103.tar.bz2”h+Œ 5a71e6315400ade748b3bbe12e373610”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos7-ppc64le-2.13.0-ha826a6f_1103.tar.bz2”h0Œ@35d03ba720fb9e31c85e3858118c3004cf76c77dde4f4fa8dbcf382fc02f5e48”h2NhNh3Œ'fontconfig-cos7-ppc64le ==2.13.0 *_1103”Œ(freetype-devel-cos7-ppc64le >=2.8 *_1103”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×Æ3îffhEJÌ hFˆubh)”}”(hŒlibice-cos7-ppc64le”h#Œ1.0.9”h%Œ
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Apache-2.0”hBŒApache”hDGAØ…íïê^5hEMhFˆubh)”}”(hŒr-ggdistribute”h#Œ1.0.3”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ-r-ggdistribute-1.0.3-r41hc72bb7e_1002.tar.bz2”h+Œ c02eb00ac86f00764fb90408e5a79114”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-ggdistribute-1.0.3-r41hc72bb7e_1002.tar.bz2”h0Œ@409a2d06f209eac1bf7c52042a3f369295b20b575e7e52a629ddc1fe12843d84”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-dplyr”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-tibble”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+ÀÇPhEJÓí hFˆubh)”}”(hŒlb-nightly-rpc”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)lb-nightly-rpc-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ b6a3cfc604654127d93aa613bffe82eb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/lb-nightly-rpc-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6a9882d47f62885c2288d4db7bbc5319e7bb38a5cd27b13303ec58fd3286d74d”h2NhNh3(Œcelery >=5.1.2,<6.0.0”Œ#lb-nightly-configuration >=0.3,<1.0”Œlbplatformutils >=4.3.6,<5.0.0”Œmysqlclient >=2.0.3,<3.0.0”Œpython >=3.8,<4.0”Œrequests >=2.28,<3.0.0”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÊ T§l‹hEMhhFˆubh)”}”(hŒlibxscrnsaver-cos7-ppc64le”h#Œ1.2.2”h%Œha826a6f_103”h'Kghhh(h)hŒ5libxscrnsaver-cos7-ppc64le-1.2.2-ha826a6f_103.tar.bz2”h+Œ 07eadd8b090061ad03cfd6be32fda442”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-ppc64le-1.2.2-ha826a6f_103.tar.bz2”h0Œ@4adfae2d35f94cf48408e5249a19aa590bce3c19cc3f894ffb7033f75cdc70e7”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/
 hEM™NhFˆubh)”}”(hŒr-testextra”h#Œ0.1.0.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-testextra-0.1.0.1-r36h6115d3f_1.tar.bz2”h+Œ 68b54c6abdd3167e2d2f6a7cd0934207”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-testextra-0.1.0.1-r36h6115d3f_1.tar.bz2”h0Œ@fb973c6933f70cec6dfb42b2e3d864752e2b175c5c78131200010407f9ddeab4”h2NhNh3(Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œr-parsetools”Œ	r-pkgcond”Œr-postlogic”Œr-purrr”Œr-rlang”Œ	r-stringi”Œ
r-testthat”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯Q¦I‡hEJÆÆ hFˆubh)”}”(hŒr-prediction”h#Œ0.3.14”h%Œr35h6115d3f_1”h'Khhh(h)hŒ)r-prediction-0.3.14-r35h6115d3f_1.tar.bz2”h+Œ f4b75db46e948f5ee43d92d406292c79”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prediction-0.3.14-r35h6115d3f_1.tar.bz2”h0Œ@c3ae2442c3bc4a91d086b8e0113eb8b6c11faebdf8f9ed53e5e6b0281fa99266”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGA×KÞ‰ r°hEJÇ hFˆubh)”}”(hŒr-fuzzyjoin”h#Œ0.1.6”h%Œr40_0”h'K hhh(h)hŒr-fuzzyjoin-0.1.6-r40_0.tar.bz2”h+Œ cd07ccfee57edc10fc3cc4e98caf10de”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fuzzyjoin-0.1.6-r40_0.tar.bz2”h0Œ@7d28186e3bb0e0acfbbfcd54480fd7f23a140d5178fdb7a7caf0b18fe49196a0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-geosphere”Œr-purrr”Œr-stringdist”Œ	r-stringr”Œr-tidyr >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¯å|ýôhEJZ hFˆubh)”}”(hŒrb-html-pipeline”h#Œ2.12.3”h%Œ
hd4c1694_0”h'K hhh(h)hŒ*rb-html-pipeline-2.12.3-hd4c1694_0.tar.bz2”h+Œ 5034ed597dad263cb457642a07735da5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/rb-html-pipeline-2.12.3-hd4c1694_0.tar.bz2”h0Œ@702d985a49da26f8e765030ce16249d6a98f973cdb128b03053387f76403bb97”h2NhNh3Œrb-activesupport >=2”Œrb-nokogiri >=1.4”Œruby >=2.5.7,<2.6.0a0”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×€?ZË•hEMéhFˆubh)”}”(hŒr-relimp”h#Œ1.0_5”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ'r-relimp-1.0_5-r41hc72bb7e_1004.tar.bz2”h+Œ 059fde9ca17655442523f1ce616864b1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-relimp-1.0_5-r41hc72bb7e_1004.tar.bz2”h0Œ@247e7307d70d273f96117d4f7dc6135f31e98b5225fc0f7d4ec3a908c231108c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐ±å33hEJ¶v hFˆubh)”}”(hŒjupyterlab_launcher”h#Œ0.13.1”h%Œpy_2”h'Khhh(h)hŒ'jupyterlab_launcher-0.13.1-py_2.tar.bz2”h+Œ 20b90ec84922bc43a7ee44edc4296be3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_launcher-0.13.1-py_2.tar.bz2”h0Œ@9904da1d66a5ea29cf2e6c91270a81546215f1a1890e4ac3c6bb910d32d31645”h2NhNh3Œnotebook”Œpython >=3.5”†”h9h?h@ŒBSD 3-Clause”hDGAÖÞÆ¯‡¾whEMQhFˆubh)”}”(hŒpypmml”h#Œ0.9.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pypmml-0.9.11-pyhd8ed1ab_0.tar.bz2”h+Œ 0dfcc3cd19cf6a79a5caf3fad424e500”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pypmml-0.9.11-pyhd8ed1ab_0.tar.bz2”h0Œ@e2bc131848516ca62e41fb3e0e48d0b8dc5cd8c4292be1463ececc15460d78aa”h2NhNh3Œpy4j >=0.10.7”Œpython >=3.5”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ7‰RŠ¬hEJèüå hFˆubh)”}”(hŒlibglvnd-devel-cos7-ppc64le”h#Œ1.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libglvnd-devel-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h+Œ 790cd9ff468f36437add38e002ef39ae”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libglvnd-devel-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h0Œ@adede9babb1579bb22ebcea60c97993e1d621e739d685c20cea9f29347ddaf53”h2NhNh3(Œ/libglvnd-core-devel-cos7-ppc64le ==1.0.1 *_1104”Œ$libglvnd-cos7-ppc64le ==1.0.1 *_1104”Œ(libglvnd-egl-cos7-ppc64le ==1.0.1 *_1104”Œ)libglvnd-gles-cos7-ppc64le ==1.0.1 *_1104”Œ(libglvnd-glx-cos7-ppc64le ==1.0.1 *_1104”Œ+libglvnd-opengl-cos7-ppc64le ==1.0.1 *_1104”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ59‘C•hEMÂ9hFˆubh)”}”(hŒ	r-downlit”h#Œ0.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-downlit-0.4.2-r42hc72bb7e_1.tar.bz2”h+Œ 52129a8253cf81365af9bff3a5e594d7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-downlit-0.4.2-r42hc72bb7e_1.tar.bz2”h0Œ@d50f9fd4b7516c391102438d8cbcea42aa985435c779ff4f2ddbad3764af6794”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-brio”Œr-desc”Œr-digest”Œ
r-evaluate”Œr-fansi”Œ	r-memoise”Œr-rlang”Œr-vctrs”Œr-withr”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ˜+hEJoÝ hFˆubh)”}”(hŒ$_sysroot_linux-64_curr_repodata_hack”h#hÔh%Œh5bd9786_14”h'Khhh(h)hŒ:_sysroot_linux-64_curr_repodata_hack-4-h5bd9786_14.tar.bz2”h+Œ b6af27980692c6885ba3b335f5b83c66”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-4-h5bd9786_14.tar.bz2”h0Œ@84b7430470074c892775e1860f138ed3d1bd53be9421bbbc50a1f297de99b417”h2NhNh3Œ kernel-headers_linux-64 2.6.32.*”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ=ÉOß;hEM3hFˆubh)”}”(hŒr-autoplotly”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-autoplotly-0.1.4-r41hc72bb7e_0.tar.bz2”h+Œ bedc0f5105a57f1c65d1027320809c4f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-autoplotly-0.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@3d957ad600180e05717c4c1c40ff05ce4767b8ff23fceae630c74ea9cf63372d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggfortify”Œ	r-ggplot2”Œr-plotly”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØ+Æ&Ð ÅhEMz—hFˆubh)”}”(hŒgtk2-devel-cos7-aarch64”h#Œ2.24.31”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4gtk2-devel-cos7-aarch64-2.24.31-h9d98e8f_104.tar.bz2”h+Œ 19c62245d3779a53f736c091d5236462”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos7-aarch64-2.24.31-h9d98e8f_104.tar.bz2”h0Œ@8b9681690df8cf978b3f22b9fd855205f9f61b625d528864f8ff12a8b92cb303”h2NhNh3(Œ%atk-devel-cos7-aarch64 >=1.29.4 *_104”Œ&cairo-devel-cos7-aarch64 >=1.6.0 *_104”Œ'glib2-devel-cos7-aarch64 >=2.28.0 *_104”Œ!gtk2-cos7-aarch64 ==2.24.31 *_104”Œ'pango-devel-cos7-aarch64 >=1.20.0 *_104”t”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É~oCt¼hEJÌ=6 hFˆubh)”}”(hŒmatplotlib2tikz”h#Œ0.7.5”h%Œpy_0”h'K hhh(h)hŒ"matplotlib2tikz-0.7.5-py_0.tar.bz2”h+Œ f14693fa42805976ba460d8264d87a29”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/matplotlib2tikz-0.7.5-py_0.tar.bz2”h0Œ@7c7d4805f6f9dd1b497d1a7c4d79aaa4d9e2e223151741df01718bc9be182f3c”h2NhNh3(Œmatplotlib >=1.4.0”Œnumpy”Œpillow”Œ
python >=3”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×QŒ õÃhEM8~hFˆubh)”}”(hŒr-geem”h#Œ0.10.1”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ'r-geem-0.10.1-r351h6115d3f_1000.tar.bz2”h+Œ 42bba98c965001c470a30e2a1c13c131”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-geem-0.10.1-r351h6115d3f_1000.tar.bz2”h0Œ@0e757dc475f865565425d165191563129056b867a921ca05adaf15566735e610”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-matrix”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×.ŽûÆ¨hEJ´~ hFˆubh)”}”(hŒ
r-labeling”h#Œ0.4.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-labeling-0.4.2-r40hc72bb7e_1.tar.bz2”h+Œ 58f97f4908fceb31b0612f4391a6ce99”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r40hc72bb7e_1.tar.bz2”h0Œ@14b857cc5c5ccc8c6997ea587e423eb27fdc34523a6ec1c461ca9d12627c1028”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsZËŸKÇhEJ hFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œr40_1002”h'Mêhhh(h)hŒr-mcpan-1.1_21-r40_1002.tar.bz2”h+Œ fb33d6b7f89635cc5b5cde02d0613c94”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r40_1002.tar.bz2”h0Œ@c1c25157a941f974d76541addb09ea24b258a60777dcbcb73d4772f77d43763a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬ç)ûçhEJíÛ hFˆubh)”}”(hŒ
r-ipflasso”h#Œ1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-ipflasso-1.1-r41hc72bb7e_1.tar.bz2”h+Œ 620befdecd04dee10f1356266990171b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipflasso-1.1-r41hc72bb7e_1.tar.bz2”h0Œ@49a412c2a0f6fff52021ce4ee6b0ae663482876e5fe75e85eecee27ceb4cde83”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-glmnet”Œ
r-survival”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+GbÇ hEJ½ hFˆubh)”}”(hŒr-anylib”h#Œ1.0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-anylib-1.0.5-r41hc72bb7e_1.tar.bz2”h+Œ 08edf936ec6788dad958d7b1f1128c2b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-anylib-1.0.5-r41hc72bb7e_1.tar.bz2”h0Œ@9a1356b1c07bfcf10bf40209fa252807883393619112a157475472189634e25f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-biocmanager”Œr-curl”Œ
r-devtools”Œr-httr”Œr-withr”t”h9hºh@ŒCC-BY-SA-4.0”hBŒCC”hDGAØÓš=qhEM8ohFˆubh)”}”(hŒ	r-tfisher”h#Œ0.2.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-tfisher-0.2.0-r42hc72bb7e_2.tar.bz2”h+Œ 5793d05a6c954eeadef39e0f07614fb0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tfisher-0.2.0-r42hc72bb7e_2.tar.bz2”h0Œ@a379e9c30d8ee797110e65785052431c0ae57622696d4259fd7d175830b7c8f0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-matrix”Œ	r-mvtnorm”Œr-sn”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓX¬ï®hEJÇx hFˆubh)”}”(hŒ
pyinterval”h#Œ1.2.0”h%Œpy_0”h'K hhh(h)hŒpyinterval-1.2.0-py_0.tar.bz2”h+Œ 792d1401b93b5f485130a3591e2a09ef”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pyinterval-1.2.0-py_0.tar.bz2”h0Œ@b8b507259dec840ccf759e88084b55ca1bcafebe5b2e2fe9e33cfcbeafe23e57”h2NhNh3Œpycrlibm”Œpython”Œsix”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‹øq™šhEMœ1hFˆubh)”}”(hŒr-firedanger”h#Œ1.1.0”h%Œr41ha770c72_0”h'K hhh(h)hŒ(r-firedanger-1.1.0-r41ha770c72_0.tar.bz2”h+Œ ec3242275b4386c897db562bf608a0cb”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-firedanger-1.1.0-r41ha770c72_0.tar.bz2”h0Œ@c96ffb2ffbdd24a1d9a80c1175dd751bf34ac89431a524c2640856f051459568”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œr-transformer >=1.4.7”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡êþÃ¶FhEJÄ- hFˆubh)”}”(hŒr-productplots”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-productplots-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 8304b7f1c6cbc373204e047d90313807”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-productplots-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@b1b2790160c5a1f9cec9dd0782b58ff6a9db6b03f7ddd7163a2067d9fb5f97f9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-plyr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑŽæøƒhEJ¥ê hFˆubh)”}”(hŒr-shinytree”h#Œ0.2.7”h%Œr36h6115d3f_2”h'Khhh(h)hŒ'r-shinytree-0.2.7-r36h6115d3f_2.tar.bz2”h+Œ ee47dd4b806c4c5b48463cb773660823”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinytree-0.2.7-r36h6115d3f_2.tar.bz2”h0Œ@0a299633384d1a259aea2be1d07b83b50ee36cc6134c6754bcb9e4aee7acbaa8”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmlwidgets”Œ
r-jsonlite”Œ
r-promises”Œr-shiny >=0.9.0”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬;/‹•hEJšì hFˆubh)”}”(hŒr-rcolorbrewer”h#Œ1.1_3”h%Œr41h785f33e_0”h'K hhh(h)hŒ*r-rcolorbrewer-1.1_3-r41h785f33e_0.tar.bz2”h+Œ 579b6792713b6c8538c1aa8e4ce636c0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rcolorbrewer-1.1_3-r41h785f33e_0.tar.bz2”h0Œ@2b66d9e73f5305aec9d67cc284e123685524b172f404dacfb0b02e70aa2f6f9f”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ’†ÉÐ ÅhEJé hFˆubh)”}”(hŒnapari-properties-plotter”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4napari-properties-plotter-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 733e5e0f53c3a5523da3d2efd142b5fd”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/napari-properties-plotter-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@3bdf8b896b29e5d653a7b37fe323f62cf9bc09bcd8a3bd3c7464f6ef4dd964bc”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpandas”Œ	pyqtgraph”Œpython >=3.7”Œqtpy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ|í“hEMk4hFˆubh)”}”(hŒlibxcursor-cos7-ppc64le”h#Œ1.1.15”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libxcursor-cos7-ppc64le-1.1.15-h9d98e8f_1104.tar.bz2”h+Œ 37a2bbc59eadf95d9177b1627ed966e3”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-ppc64le-1.1.15-h9d98e8f_1104.tar.bz2”h0Œ@a550c93f2283e9198de4d2446d187e3e66844deab19d63ce29e77e72dd8f9bdf”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~i‡hEMnqhFˆubh)”}”(hŒr-medicalrisk”h#Œ1.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-medicalrisk-1.3-r35h6115d3f_0.tar.bz2”h+Œ 398855af132fe9ed3edef57d5cb5c5b1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-medicalrisk-1.3-r35h6115d3f_0.tar.bz2”h0Œ@17d221781eba284bd1c19d410b741a6aa5eceef628531c3d180323986df57ca5”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-hash”Œr-plyr >=1.5”Œ
r-reshape2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×–ÔÒb=qhEJªÉ hFˆubh)”}”(hŒr-longitudinal”h#Œ1.1.13”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-longitudinal-1.1.13-r41hc72bb7e_1.tar.bz2”h+Œ 7e4fe624d680931c771c49f4e3e2f680”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-longitudinal-1.1.13-r41hc72bb7e_1.tar.bz2”h0Œ@72aa5969e5e99e515a30da5fba39acd111452468fc5b1703d690de428ccd3e9e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-corpcor >=1.6.8”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÐ÷¢.E¢hEJêˆ hFˆubh)”}”(hŒr-arrayhelpers”h#Œ1.1_0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ*r-arrayhelpers-1.1_0-r35h6115d3f_0.tar.bz2”h+Œ 9ece27257bcdac8ebe6ac73c17f437cf”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-arrayhelpers-1.1_0-r35h6115d3f_0.tar.bz2”h0Œ@b56593c2e0c17ea6d62d16be2ff84fdb28c017ddd68d0e7eeef1f316c3f7fd3f”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-svunit”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Žg¼p ÅhEJ¯Ù hFˆubh)”}”(hŒr-geomtextpath”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-geomtextpath-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 0ada9de71e050fd451435fa35f09b027”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-geomtextpath-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@cb4c97280c8e57334392cba7935cbe49df6eac46fded720d9cd4a4918651cf2a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-rlang”Œr-scales”Œr-systemfonts”Œr-textshaping”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÃ²x1'hEJ½9 hFˆubh)”}”(hŒr-sweidnumbr”h#Œ1.4.2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-sweidnumbr-1.4.2-r36h6115d3f_1.tar.bz2”h+Œ a1950afe7d1c5e3c56f706866d3e2ca2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sweidnumbr-1.4.2-r36h6115d3f_1.tar.bz2”h0Œ@e283f71c80e086bfc27add17fef883ddf849afbce8cb4e6c020378a3d03fc80e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-checkmate”Œr-lubridate >=1.5”Œ	r-stringr”t”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×«þô<‹DhEJ! hFˆubh)”}”(hŒlibdrm-cos7-ppc64le”h#Œ2.4.97”h%Œha826a6f_1103”h'MOhhh(h)hŒ0libdrm-cos7-ppc64le-2.4.97-ha826a6f_1103.tar.bz2”h+Œ 0474f7ad8643681d01828d2b811280a8”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-ppc64le-2.4.97-ha826a6f_1103.tar.bz2”h0Œ@5bb23762623aaec3b99e7808108a9616c1e998809cd648c14f4ec82bfc1ff0b2”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ï¿ hEJ,‡ hFˆubh)”}”(hŒpango-cos7-x86_64”h#Œ1.42.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ.pango-cos7-x86_64-1.42.4-hdf0574f_1102.tar.bz2”h+Œ 1504c694b35013721a1b807ce8c37558”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pango-cos7-x86_64-1.42.4-hdf0574f_1102.tar.bz2”h0Œ@ccbb63b7b4c1717bc3bde6b1fc3f06ac50ec70f79931d05c5eba9393515950d4”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi8—hEJ’b hFˆubh)”}”(hŒr-generalizedhyperbolic”h#Œ0.8_4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ3r-generalizedhyperbolic-0.8_4-r40hc72bb7e_0.tar.bz2”h+Œ 685751223f1cd050a5f48c0bb38106e1”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-generalizedhyperbolic-0.8_4-r40hc72bb7e_0.tar.bz2”h0Œ@31d387ff4e40fe2e75d5358ea1d9fb6317137b929e3f99c2af15eac36058e08c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-distributionutils”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØyóteÂhEJµY	 hFˆubh)”}”(hŒr-dunn.test”h#Œ1.3.5”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ*r-dunn.test-1.3.5-r41hc72bb7e_1004.tar.bz2”h+Œ 117d09a7287d60c42d833774d121ec36”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-dunn.test-1.3.5-r41hc72bb7e_1004.tar.bz2”h0Œ@1ad01bce2817b6954ea62aaf1c2bdf451c0a54cdc66308819c4844596d5eeb67”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑAxÕhEJ= hFˆubh)”}”(hŒjupyter-project”h#Œ1.0.1”h%Œpy_0”h'K hhh(h)hŒ"jupyter-project-1.0.1-py_0.tar.bz2”h+Œ c092928d982e85159b2ea59c9019d034”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/jupyter-project-1.0.1-py_0.tar.bz2”h0Œ@d4a219add9c71a3346d16f69d43c564b675b34acc5d5d52eee894f21cdcb04d7”h2NhNh3(Œcookiecutter”Œjinja2 ~=2.9”Œ
jsonschema”Œjupyterlab ~=1.2”Œpython ~=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×µÙÔ„ÌÍhEJ@	 hFˆubh)”}”(hŒr-spiralize”h#Œ1.0.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-spiralize-1.0.6-r42hc72bb7e_1.tar.bz2”h+Œ dcdd3228fc06a7fc8dbcda95513769f8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-spiralize-1.0.6-r42hc72bb7e_1.tar.bz2”h0Œ@8915cf1462a6a4dbbc02e2d835bcfa5532529644a87bcc7aa6279723a3e06853”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-circlize”Œr-getoptlong >=0.1.8”Œr-globaloptions >=0.1.1”Œr-lubridate”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒÀL1hEJ"´ hFˆubh)”}”(hŒpyflow”h#Œ2.0.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!pyflow-2.0.2-pyh9f0ad1d_0.tar.bz2”h+Œ c5c18f7fd144db45d0d2d702e1c1c176”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyflow-2.0.2-pyh9f0ad1d_0.tar.bz2”h0Œ@4d4d1c711f3d063ccb528c13b71d00e8ff76f61bca52ceaa7932ef47228b8563”h2NhNh3(Œblinker”Œdocutils”Œnine”Œpyrr”Œpyside2”Œpython”Œqt.py”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×Ÿ;9Ó¥ãhEJwÜ* hFˆubh)”}”(hŒr-argumentcheck”h#Œ0.10.2”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ0r-argumentcheck-0.10.2-r351h6115d3f_1001.tar.bz2”h+Œ eb64415012d0d4850cdb431a14ec3725”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-argumentcheck-0.10.2-r351h6115d3f_1001.tar.bz2”h0Œ@a737cf2b7a42e37451c6d230070d7a9a55131782454427735c58358f9ff532fa”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×÷ÿ1'hEM´ÁhFˆubh)”}”(hŒlibjpeg-turbo-cos7-x86_64”h#Œ1.2.90”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libjpeg-turbo-cos7-x86_64-1.2.90-ha826a6f_1103.tar.bz2”h+Œ d41c11d5ffefb43002b696d1cf0a10b3”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos7-x86_64-1.2.90-ha826a6f_1103.tar.bz2”h0Œ@dd07ba60c03554a55e6c4ad117283e670b0975f8534a6b7e84e589c570499d9b”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒIJG”hBŒOther”hDGA×Æ/EÊ=qhEJKE hFˆubh)”}”(hŒr-tuneranger”h#Œ0.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-tuneranger-0.5-r41hc72bb7e_1.tar.bz2”h+Œ 4d390d8154baad8fac1800ab560b4e39”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tuneranger-0.5-r41hc72bb7e_1.tar.bz2”h0Œ@4ccf229e34239b2b4150f7cdf5b8da6a52a586aeb9afcc0bbcb2d059190870f3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbmisc >=1.11”Œr-dicekriging >=1.5.5”Œr-lhs >=0.14”Œr-lubridate >=1.6.0”Œr-mlr >=2.11”Œr-mlrmbo >=1.1.1”Œr-paramhelpers >=1.10”Œr-ranger >=0.8.0”Œr-smoof >=1.5.1”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ,Î¸ÓC–hEJ= hFˆubh)”}”(hŒlibxext-cos7-ppc64le”h#Œ1.3.3”h%Œh1795305_101”h'Kehhh(h)hŒ/libxext-cos7-ppc64le-1.3.3-h1795305_101.tar.bz2”h+Œ 873975fe4d70686deaeb1fde65301973”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-ppc64le-1.3.3-h1795305_101.tar.bz2”h0Œ@42f5034107f5c5d69d3c17049d319207f9a3b58d050bf6b6ec4154c79d03c84f”h2NhNh3Œ libx11-cos7-ppc64le >=1.5.99.902”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&2¬hEM3™hFˆubh)”}”(hŒattrs”h#Œ19.1.0”h%Œpy_0”h'K hhh(h)hŒattrs-19.1.0-py_0.tar.bz2”h+Œ e27f45666d6dd28a74af16c72f810901”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/attrs-19.1.0-py_0.tar.bz2”h0Œ@4acc956a5b813a7ab5937e23bc4c82a58d14486cb291d227e6b33877b98221d3”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×éöšñªhEMÕ~hFˆubh)”}”(hŒ	rb-liquid”h#Œ4.0.3”h%Œ
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animatplot”h#Œ0.4.2”h%Œpy_0”h'K hhh(h)hŒanimatplot-0.4.2-py_0.tar.bz2”h+Œ 3875f98a5598674f2755e2aec9a7a0ff”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/animatplot-0.4.2-py_0.tar.bz2”h0Œ@8c8492a7cde82cb209f7bcfd509abd21e209646e5c2280bd9daceeb2890a9fd7”h2NhNh3Œmatplotlib >=2.2”Œpython >=3.5”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ÞóúïÎÙhEMŸ=hFˆubh)”}”(hŒtransitions”h#Œ0.7.2”h%Œpy_0”h'K hhh(h)hŒtransitions-0.7.2-py_0.tar.bz2”h+Œ 21ca1f8553f1b96be37261469a696cb7”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/transitions-0.7.2-py_0.tar.bz2”h0Œ@9a5ae17bf082f551f059ab688e7c7987fe61d07a734c186bc8424bd18d520558”h2NhNh3Œpython”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGA×†S­¶FhEJgB hFˆubh)”}”(hŒr-upsetr”h#Œ1.4.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ$r-upsetr-1.4.0-r40hc72bb7e_2.tar.bz2”h+Œ edc7693b4c99fcd8b0c352ffd1150ef8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-upsetr-1.4.0-r40hc72bb7e_2.tar.bz2”h0Œ@b06febbbed91fe338d28d4851d95b01ed61cc6ac835ac3631e32a89adb6f751f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+«¬záhEJ@@ hFˆubh)”}”(hŒlibxt-cos7-ppc64le”h#Œ1.1.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libxt-cos7-ppc64le-1.1.5-h9b0a68f_105.tar.bz2”h+Œ 1befecff19d717816d01ee4979888b5a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxt-cos7-ppc64le-1.1.5-h9b0a68f_105.tar.bz2”h0Œ@fdd5a4e684d46d49bab5368f1ea43e59b01ad89f81fd958c0eb85010264b8459”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Ž‡?l‹hEJÍ× hFˆubh)”}”(hŒlibxfixes-cos7-aarch64”h#Œ5.0.3”h%Œha826a6f_103”h'Kghhh(h)hŒ1libxfixes-cos7-aarch64-5.0.3-ha826a6f_103.tar.bz2”h+Œ c004624d269d4fbd23e745a14c731813”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxfixes-cos7-aarch64-5.0.3-ha826a6f_103.tar.bz2”h0Œ@1f2ace95c3d92828330d6d849276f225758d40410c331615aee60355d980e287”h2NhNh3Œlibx11-cos7-aarch64 >=1.6 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1*Ÿ¾hEMT>hFˆubh)”}”(hŒ	r-survxai”h#Œ0.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-survxai-0.2.2-r42hc72bb7e_1.tar.bz2”h+Œ ca3d95fc5108bc1d32139633a6c65fba”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-survxai-0.2.2-r42hc72bb7e_1.tar.bz2”h0Œ@0a7074cb762084a6bd1d746032b6baa592347872182f285dbff185f63949cad8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-breakdown”Œ	r-ggplot2”Œr-pec”Œ	r-prodlim”Œr-scales”Œ
r-survival”Œr-survminer”t”h9hºh@ŒGPL”hBŒGPL”hDGAØÓ‰)±º^hEJ# hFˆubh)”}”(hŒr-ggjoy”h#Œ0.4.1”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ&r-ggjoy-0.4.1-r36h6115d3f_1003.tar.bz2”h+Œ f420e47018e919a6bd6e4c65e6a2e61c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggjoy-0.4.1-r36h6115d3f_1003.tar.bz2”h0Œ@5e4662c3941975e574bd4cdfc38e0c5f47970b975e44fff02000b5cfa53339dd”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-ggridges >=0.4.0”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬Æt¸“uhEMž}hFˆubh)”}”(hŒr-assertive.reflection”h#Œ0.0_5”h%Œr36h6115d3f_0”h'K hhh(h)hŒ2r-assertive.reflection-0.0_5-r36h6115d3f_0.tar.bz2”h+Œ 717f4415cb9fc325d5543cc72f59e634”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.reflection-0.0_5-r36h6115d3f_0.tar.bz2”h0Œ@b4c3932c82aeb3cd002684172e8d2482e7196fb7d48654c6c548f3d91fce41b5”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=3.6,<3.7.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×ÈáD™šhEJ»+ hFˆubh)”}”(hŒ	decorator”h#Œ5.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$decorator-5.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 43afe5ab04e35e17ba28649471dd7364”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@328a6a379f9bdfd0230e51de291ce858e6479411ea4b0545fb377c71662ef3e2”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØv	À”(öhEM(/hFˆubh)”}”(hŒaldjemy”h#Œ2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ aldjemy-2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 79fc0d6acfc2689a13513d2268b94661”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/aldjemy-2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@9c539c736beb323fcb7c27e7734211269935e34f4199118662baa660ac91aa98”h2NhNh3Œdjango >=2.2”Œpython >=3.6”Œsqlalchemy >=1.4”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØWöfÒòhEM	4hFˆubh)”}”(hŒdjango-autoslug”h#Œ1.9.8”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*django-autoslug-1.9.8-pyh9f0ad1d_0.tar.bz2”h+Œ f8ba3ea1f891042f19fc2dc316d42ca1”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/django-autoslug-1.9.8-pyh9f0ad1d_0.tar.bz2”h0Œ@6e7225422da582a860e3fdf0008e924d1ef772bf99c1d3dd9a1cbcc39c7cc05c”h2NhNh3Œdjango >=1.7.10,<2”Œpython”†”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGA×ÅÿIëçmhEMO?hFˆubh)”}”(hŒdepinfo”h#Œ1.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"depinfo-1.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 922d2957a6ddb83d4cf90aa883051379”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/depinfo-1.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4725ca231dcdcd7124f64c972d1b570bccf1af4d08acb3137f1d9f687e9a5a1f”h2NhNh3Œimportlib_metadata”Œpip”Œpython >=3.6”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØä%èÔþhEMb/hFˆubh)”}”(hŒpypif”h#Œ2.1.1”h%Œpy_0”h'K hhh(h)hŒpypif-2.1.1-py_0.tar.bz2”h+Œ b9bb680065b18e44cb194772814e9236”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pypif-2.1.1-py_0.tar.bz2”h0Œ@da7eec325749a7265641274bae3b57f9edae38bb8c4c95af7743dcd7a6699cde”h2NhNh3Œnumpy”Œpython”Œsix”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×0¶åÚ~úhEMå\hFˆubh)”}”(hŒr-gprofiler”h#Œ0.7.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-gprofiler-0.7.0-r35h6115d3f_0.tar.bz2”h+Œ d495a00386212da296b0ab3c4cc411f9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gprofiler-0.7.0-r35h6115d3f_0.tar.bz2”h0Œ@2dd56d8492fa2d3a8208b4b0af6e4e39f0bf17bcb99e8801a5676fb86ae9d1ca”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-plyr”Œr-rcurl”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×pìÇ®hEM9âhFˆubh)”}”(hŒr-tfprobability”h#Œ0.15.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-tfprobability-0.15.1-r40hc72bb7e_0.tar.bz2”h+Œ fa31993fbe241f092c3cb67298550af4”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tfprobability-0.15.1-r40hc72bb7e_0.tar.bz2”h0Œ@117cad62017d54fa243a013662950fe0e85b856312d04e847d03ede8b9de6ef5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-keras”Œ
r-magrittr”Œr-reticulate”Œr-tensorflow >=2.2.0”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÄ0_ì1hEJdv! hFˆubh)”}”(hŒr-demerelate”h#Œ0.9_3”h%Œr40ha770c72_1003”h'Mëhhh(h)hŒ+r-demerelate-0.9_3-r40ha770c72_1003.tar.bz2”h+Œ 00f57c2c3ea76c412f895ee253a258dc”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-demerelate-0.9_3-r40ha770c72_1003.tar.bz2”h0Œ@71dde8b546f31096868dc207e9257d28d2d0a184a42f4cbac6277cd368828e7b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-fts”Œr-mlogit”Œ	r-sfsmisc”Œr-vegan”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ÅÄË×
hEJâ hFˆubh)”}”(hŒgrits”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ grits-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ c35f395d15fe718076a667af7febf539”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/grits-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@b73e68b4df1cb6344c4fcb6762f37184c6ee753697cc1875843e8ade2c37ef10”h2NhNh3(Œele”Œfreud”Œgsd”Œmbuild”Œnumpy”Œ	openbabel”Œpython >=3.8”Œrdkit”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¸*5p¤hEM)phFˆubh)”}”(hŒr-intergraph”h#Œ2.0_2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ)r-intergraph-2.0_2-r351h6115d3f_0.tar.bz2”h+Œ 379a6ecfc522972e5ba2747c091c9e98”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-intergraph-2.0_2-r351h6115d3f_0.tar.bz2”h0Œ@097eca47262da304169233d403e231d111e7b04c8eb5e9186c8c8c79d840b26c”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-igraph >=0.6_0”Œr-network >=1.4_1_1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×
Ñý?}hEJ9 hFˆubh)”}”(hŒr-prettyunits”h#Œ1.1.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-prettyunits-1.1.1-r40h6115d3f_1.tar.bz2”h+Œ dd1482ad4bd48923796f03fccd569d80”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prettyunits-1.1.1-r40h6115d3f_1.tar.bz2”h0Œ@6582f58f14e3167e28b0e2dfab4e2e9c8cde53117252345747e4b6e109455e2c”h2NhNh3Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×«9V§ðhEMÕ¡hFˆubh)”}”(hŒsphinx-material”h#Œ0.0.35”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+sphinx-material-0.0.35-pyhd8ed1ab_0.tar.bz2”h+Œ 6573022d6e55b7ef5a984c9773cf324a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sphinx-material-0.0.35-pyhd8ed1ab_0.tar.bz2”h0Œ@0af1d9ba16b64ba30391690ecd9d6d9b3067696faf0962e29a9d001d6207fa5f”h2NhNh3(Œbeautifulsoup4”Œcss-html-js-minify”Œlxml”Œpython >=3.6,<4”Œpython-slugify”Œ
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r-jsonlite”Œ
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=hEM
7hFˆubh)”}”(hŒr-xtable”h#Œ1.8_4”h%Œr35h6115d3f_2”h'Khhh(h)hŒ$r-xtable-1.8_4-r35h6115d3f_2.tar.bz2”h+Œ afe8fc2f12b853a64664f7d2f872d830”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-xtable-1.8_4-r35h6115d3f_2.tar.bz2”h0Œ@b259b9ff48de74838688dc35181120397b05df3db5675e902b87234a6661f0cc”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×P.qº^hEJŒâ
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ha770c72_0”h'K hhh(h)hŒ!facilyst-0.0.4-ha770c72_0.tar.bz2”h+Œ a086f1feca1d25a29546d4820e7d573d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/facilyst-0.0.4-ha770c72_0.tar.bz2”h0Œ@ef0cd628c0deab4395793df82a527a4d578e35e71ce7a9845cfd323de8286879”h2NhNh3(Œcatboost >=0.20”Œ facilyst-core >=0.0.4,<0.0.5.0a0”Œkeras-preprocessing 1.1.2”Œpy-xgboost >=0.82”Œpytorch 1.11.0”Œsentencepiece 0.1.95”Œtransformers 4.14.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ›óüËdZhEM‰hFˆubh)”}”(hŒdlatk”h#Œ1.2.5”h%Œpyh8a188c0_0”h'K hhh(h)hŒ dlatk-1.2.5-pyh8a188c0_0.tar.bz2”h+Œ 75c157c78ebaa0c08bfc3d2e7de8f5c6”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dlatk-1.2.5-pyh8a188c0_0.tar.bz2”h0Œ@9c7008b50f197d0a0d57a959d54e7bcbebceb626784c0313d56322b4a80981ac”h2NhNh3(Œmysqlclient”Œnltk >=3.2.1”Œnumpy”Œpandas >=0.20.3”Œpatsy >=0.2.1”Œpython >=3.6”Œpython-dateutil >=2.5.0”Œscikit-learn <0.24.0”Œscipy >=0.13.3”Œsqlalchemy >=0.9.9”Œstatsmodels >=0.5.0”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ3t1hEJ’—ø hFˆubh)”}”(hŒlibdrm-cos7-ppc64le”h#Œ2.4.97”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libdrm-cos7-ppc64le-2.4.97-h9d98e8f_1104.tar.bz2”h+Œ 01382627772907b4b39925a03c5fe7b2”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-ppc64le-2.4.97-h9d98e8f_1104.tar.bz2”h0Œ@9b48441d01d263ce97e9cbad5bfdb3cb56e097286b97cdb8ff5adb0e638f47b6”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy°Y7LhEJ!‡ hFˆubh)”}”(hŒtextnets”h#Œ0.5.4”h%Œpyh4b9e410_0”h'K hhh(h)hŒ#textnets-0.5.4-pyh4b9e410_0.tar.bz2”h+Œ b5cc838f96a5696f47518ff9e5e887a6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/textnets-0.5.4-pyh4b9e410_0.tar.bz2”h0Œ@f882843bc687bea930c3dc2eab8c8074f306427300ea32644be5f704cbc24f38”h2NhNh3(Œcached-property”Œcairocffi >=1.1”Œleidenalg >=0.8”Œpandas >=1.3”Œpython >=3.7”Œpython-igraph >=0.9”Œscipy >=1.7”Œspacy >=3.0”Œtoolz”Œtyping-extensions”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØTd­ƒ…hEMØ©hFˆubh)”}”(hŒr-pmcmr”h#Œ4.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-pmcmr-4.4-r40hc72bb7e_0.tar.bz2”h+Œ 27fa38df0ec66cf580daff054d6d1cb2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pmcmr-4.4-r40hc72bb7e_0.tar.bz2”h0Œ@435c3b8fd8f0e1c029dc5ee79b21eb64c0f91821d18b02896af41e27dda95a15”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØV&VŠñªhEJA hFˆubh)”}”(hŒlibxtst-devel-cos6-x86_64”h#Œ1.2.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libxtst-devel-cos6-x86_64-1.2.3-h9b0a68f_1105.tar.bz2”h+Œ fba5a6ed7dff6f02d01fd744b7e683e0”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos6-x86_64-1.2.3-h9b0a68f_1105.tar.bz2”h0Œ@84a8131c64fe4a3525e0e6877f3ca95cd7da5a5bf08dfd1b32bd15c633996b5c”h2NhNh3Œ"libxtst-cos6-x86_64 ==1.2.3 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^ƒ¾‡+hEMh2hFˆubh)”}”(hŒgconf2-cos7-ppc64le”h#Œ3.2.6”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.gconf2-cos7-ppc64le-3.2.6-h9d98e8f_104.tar.bz2”h+Œ ea7e16af195b2d93c3f4c7fb3f1be82c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gconf2-cos7-ppc64le-3.2.6-h9d98e8f_104.tar.bz2”h0Œ@ac275181b1ff7407656c437d018181ecead30724b0fd6b885bdde4cee3274d8a”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Éy	]ÂhEJí
 hFˆubh)”}”(hŒr-tfruns”h#Œ1.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-tfruns-1.5.1-r41hc72bb7e_0.tar.bz2”h+Œ 993d032534a0a8c08ede5dee75382c21”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tfruns-1.5.1-r41hc72bb7e_0.tar.bz2”h0Œ@f953930ccf0c3d282e5ec348ee93db2b8fc33b245857c5230bdb23e64bb0d810”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-config”Œr-jsonlite >=1.2”Œ
r-magrittr”Œr-reticulate”Œr-rlang”Œr-rstudioapi >=0.7”Œr-tidyselect”Œ	r-whisker”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÅ¢ß@QìhEJ ä hFˆubh)”}”(hŒlibxext-cos6-x86_64”h#Œ1.3.3”h%Œh1795305_1101”h'MMhhh(h)hŒ/libxext-cos6-x86_64-1.3.3-h1795305_1101.tar.bz2”h+Œ 871e4b80bb80e05a555373dd084f1d3a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos6-x86_64-1.3.3-h1795305_1101.tar.bz2”h0Œ@5c52a508a6d4c2cea73e9eadc3e8533e48cf23aa3c598392e4d220f474a27885”h2NhNh3Œlibx11-cos6-x86_64 >=1.5.99.902”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å%ÿß hEMÝ„hFˆubh)”}”(hŒrb-typhoeus”h#Œ1.3.1”h%Œ
hd4c1694_0”h'K hhh(h)hŒ$rb-typhoeus-1.3.1-hd4c1694_0.tar.bz2”h+Œ 87fc1b32e253ff3cc749e36cb1c87570”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rb-typhoeus-1.3.1-hd4c1694_0.tar.bz2”h0Œ@511699acce05a312ccd49045e400a33318f4826d349e61f63568d338a40809b4”h2NhNh3Œrb-ethon >=0.9.0,<0.10”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Zä’ÒŸ¾hEJ†© hFˆubh)”}”(hŒpip-autoremove”h#Œ0.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pip-autoremove-0.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 29f8956c19d8460aacfab9f49830de1d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pip-autoremove-0.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f7b086786d538832786b0fbb32ab4727f00745f4077e9ddd00252186d076f3c2”h2NhNh3Œpip”Œpython >=3.6”Œ
setuptools”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØw)ÄQìhEM[ hFˆubh)”}”(hŒsysroot-cos7-aarch64”h#Œ2.17”h%Œ
hca5cc2b_5”h'Khhh(h)hŒ,sysroot-cos7-aarch64-2.17-hca5cc2b_5.tar.bz2”h+Œ 0987c92839cf6ba529e1007ce74ff563”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-aarch64-2.17-hca5cc2b_5.tar.bz2”h0Œ@87087469dd3069d9d723591e4ec0e4b15c87172493197086ab5454000702f28f”h2NhNh3Œsysroot_linux-aarch64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶¶~E¢hEMÒhFˆubh)”}”(hŒmrio_common_metadata”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/mrio_common_metadata-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 54a1c428a97779f37c19f4c850e5e3c1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/mrio_common_metadata-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e72936d73163ba1180ca38424adf4452611dd76bae72d1cb8fb1391e0bfc9bc5”h2NhNh3(Œopenpyxl”Œpandas”Œpython >=3.6”Œpyxlsb”Œscipy”Œxlrd”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÀÜRéG®hEMBhFˆubh)”}”(hŒ	r-rafalib”h#Œ1.0.0”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ)r-rafalib-1.0.0-r351h6115d3f_1000.tar.bz2”h+Œ f880ec7100cacbdbc9735f68fa6b9b3c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rafalib-1.0.0-r351h6115d3f_1000.tar.bz2”h0Œ@477e362a9fade704ba6b8aeaa19faafa0daf3c5ffb6b4720aa0f5314e1217d7d”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-rcolorbrewer”†”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGA××3ÚáHhEMÛùhFˆubh)”}”(hŒpytrie”h#Œ0.4.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!pytrie-0.4.0-pyhd8ed1ab_1.tar.bz2”h+Œ 48148c5f9d1feee5ed84ecb3db3890a7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pytrie-0.4.0-pyhd8ed1ab_1.tar.bz2”h0Œ@56df184af9c97988a29ec714bbfda8e7d48fc9888fc713eab18a2668bf13522d”h2NhNh3Œpython >=3.6”Œsortedcontainers”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ-7ÒŸ¾hEM>&hFˆubh)”}”(hŒmpl-probscale”h#Œ0.2.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(mpl-probscale-0.2.5-pyhd8ed1ab_0.tar.bz2”h+Œ a24d652c29ee202f2ef3fb0a9245a962”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/mpl-probscale-0.2.5-pyhd8ed1ab_0.tar.bz2”h0Œ@3ddd184eec82009b538d5eed8e6a36377ea9a923d80c1c70757f6ec095d4cfd6”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpytest”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ[gÏE¢hEJ–{ hFˆubh)”}”(hŒ
r-rematch2”h#Œ2.1.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-rematch2-2.1.2-r36h6115d3f_0.tar.bz2”h+Œ 735e60ed2b5577afa80ff4fe51d28655”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r36h6115d3f_0.tar.bz2”h0Œ@28078a456862363bba08b9eb55cbbb837532365d217f1fd2d30cd45e348305c8”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-tibble”†”h9hºh@ŒMIT”hBŒMIT”hDGA×«@•`BhEMéÐhFˆubh)”}”(hŒquest”h#Œ3.1.1”h%Œpy_0”h'K hhh(h)hŒquest-3.1.1-py_0.tar.bz2”h+Œ 81af607af6fde705006af76bf51146ad”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/quest-3.1.1-py_0.tar.bz2”h0Œ@22460f37b279a44ae1080b4c0b3c8c23287a255a802caefd254bc43fcdeb39fc”h2NhNh3(Œcartopy”Œdistributed >=1.18”Œgeojson”Œ	geopandas”Œgirder-client”Œhs_restclient”Œimageio”Œnumpy”Œpandas”Œparam >=1.9.0”Œpbr”Œpint”Œpony”Œpsutil”Œ
python >=3”Œpyyaml”Œrasterio”Œtornado”Œulmo >=0.8.5”Œwhitebox_tools”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‘7Ô›¦hEMuþhFˆubh)”}”(hŒr-gsubfn”h#Œ0.7”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ%r-gsubfn-0.7-r36h6115d3f_1002.tar.bz2”h+Œ 4b7311089b61bfac27e04fa1bd128d58”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gsubfn-0.7-r36h6115d3f_1002.tar.bz2”h0Œ@6f951f65d4c02bf10a582a4da7d9c50d04106a4c9d03d9befbc4b09010ba756b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-proto”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬óœÝ/hEJ»³ hFˆubh)”}”(hŒ	easyquery”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$easyquery-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ ae1f17542c655eb9e9a113c09f715591”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/easyquery-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@28b80a0475ba024cb004c469285fd0e5a4e19947c9be8e97f32ac36c00178121”h2NhNh3Œnumexpr >=2.0”Œnumpy >=1.7”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØm“ªåOßhEMs'hFˆubh)”}”(hŒ
r-combinat”h#Œ0.0_8”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ)r-combinat-0.0_8-r36h6115d3f_1002.tar.bz2”h+Œ b11e40a6d8013c5b4bc481400bfaf3f7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinat-0.0_8-r36h6115d3f_1002.tar.bz2”h0Œ@5600ad7dd0e6d53c653990eb3d953a5e456f8654c05ce5621918002f6d02c487”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×KðwVhEMñÑhFˆubh)”}”(hŒr-downloader”h#Œ0.4”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ)r-downloader-0.4-r41hc72bb7e_1003.tar.bz2”h+Œ 8ac865b2b301e11b181d2ec6dab5689e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-downloader-0.4-r41hc72bb7e_1003.tar.bz2”h0Œ@7d9586c7aa6e5194823ee0022f29c7e536ebfa4ce6dae6bf5fc99235d5e0dab3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-digest”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ*Ùiº^hEMYˆhFˆubh)”}”(hŒ	r-mratios”h#Œ1.4.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-mratios-1.4.2-r36h6115d3f_0.tar.bz2”h+Œ 78bae96824c697f7a35d8d748db08f1d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mratios-1.4.2-r36h6115d3f_0.tar.bz2”h0Œ@2c051aaa3efc8204496a73820e9b139dc1fd79984d9506522d4a3383e86ab1d5”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-multcomp”Œ	r-mvtnorm”Œ
r-survival”Œr-survpresmooth”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×»>ebÐåhEJG hFˆubh)”}”(hŒr-rstudioapi”h#Œ0.14”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-rstudioapi-0.14-r41hc72bb7e_0.tar.bz2”h+Œ 0b800d61f97fa9360e2d342492b4189b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rstudioapi-0.14-r41hc72bb7e_0.tar.bz2”h0Œ@6892cc4d9773422657dd24e4ffb1aa58d176310d96b09a90f6b4e51df532be7e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÁô1º^hEJ¶ hFˆubh)”}”(hŒr-c3net”h#Œ1.1.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-c3net-1.1.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 371ad9c0f874b6be4314b76facd74ec9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-c3net-1.1.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@52245f249bf68efa7513a34b4511284f11e180c72ad292b000f11de6da244efa”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-igraph”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ¾a  ÅhEJ%¼ hFˆubh)”}”(hŒ	r-clvalid”h#Œ0.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-clvalid-0.7-r42hc72bb7e_1.tar.bz2”h+Œ d83d7694330b2386a54205ce9b53d564”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-clvalid-0.7-r42hc72bb7e_1.tar.bz2”h0Œ@b5d0fd610d6b349165ab8c0d61312d98cc74770543764778692c2ba64de0ca2b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-class”Œ	r-cluster”‡”h9hºh@ŒLGPL-3-only”hBŒLGPL”hDGAØÒ”.DzáhEJøÓ	 hFˆubh)”}”(hŒr-liftr”h#Œ0.9.2”h%Œr40_2”h'Khhh(h)hŒr-liftr-0.9.2-r40_2.tar.bz2”h+Œ ff8ef2c07e51de4dae21115d4af890b0”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-liftr-0.9.2-r40_2.tar.bz2”h0Œ@5ff5c0c112eb53d8d5d836445d5c1b376e1b4e8da714728eaa2a979c637d75a0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-knitr”Œr-rmarkdown”Œr-rstudioapi”Œ	r-stringr”Œr-yaml”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­K•¥²-hEJÁ– hFˆubh)”}”(hŒpyramid_beaker”h#Œ0.8”h%Œpy_0”h'K hhh(h)hŒpyramid_beaker-0.8-py_0.tar.bz2”h+Œ 549ba8e5168236037441b4f25187699d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyramid_beaker-0.8-py_0.tar.bz2”h0Œ@a62b28aabe5634b7d8fe5da49e9635b63ec85fce0857ce1ca68e26bf8fe0f048”h2NhNh3Œbeaker”Œpyramid”Œpython”‡”h9h?h@ŒBSD”hBŒBSD”hDGA×Brã¥ãhEM(hFˆubh)”}”(hŒr-udapi”h#Œ0.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-udapi-0.1.3-r41hc72bb7e_1.tar.bz2”h+Œ 3df480a1eb165b76d6ac3d840722f0b1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-udapi-0.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@8b0d412fbf894b7508cad4fea23591a0b44e711efe755a4e557d63041579d20e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-httr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ?ÑÝ/hEMh\hFˆubh)”}”(hŒgdk-pixbuf2-cos6-x86_64”h#Œ2.24.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4gdk-pixbuf2-cos6-x86_64-2.24.1-hdf0574f_1102.tar.bz2”h+Œ aabeb2842fb0ed08f049ad8ce614ff39”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/gdk-pixbuf2-cos6-x86_64-2.24.1-hdf0574f_1102.tar.bz2”h0Œ@78d4a2258db20938e834ca6aa8aa5a67c446f558645ec9789fc036c27b187673”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@Œ2LGPLv2+ and (LGPLv2+ or MPLv1.1) and Public Domain”hBŒLGPL”hDGA×ÅiÇ²hEJë hFˆubh)”}”(hŒqcportal”h#Œ0.15.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$qcportal-0.15.8-pyhd8ed1ab_0.tar.bz2”h+Œ ae0dbd12b4f33889382ac84d2979ca1f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/qcportal-0.15.8-pyhd8ed1ab_0.tar.bz2”h0Œ@a9ef643ba11ae553c18cfed98962b29f8bdcb0c2f1d265e3ca8b465e22156075”h2NhNh3(Œh5py”Œmsgpack-python >=0.6.1”Œnglview”Œnumpy >=1.7”Œpandas”Œplotly”Œpyarrow >=0.13.0”Œpydantic >=1.4”Œpython >=3.7”Œpyyaml >=5.1”Œqcelemental >=0.13.1”Œrequests”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØW9‘‰7hEJ"; hFˆubh)”}”(hŒlibxi-cos6-x86_64”h#Œ1.7.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-libxi-cos6-x86_64-1.7.8-h9b0a68f_1105.tar.bz2”h+Œ fd5134fd220ba3cb654100b5b9ee616c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos6-x86_64-1.7.8-h9b0a68f_1105.tar.bz2”h0Œ@8e951ee4f84276f19d51f9b9528a16fa53bf9fc53b358c6972aa50a18d223d38”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\TÌ¼jhEMb„hFˆubh)”}”(hŒr-factoextra”h#Œ1.0.7”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-factoextra-1.0.7-r41hc72bb7e_1.tar.bz2”h+Œ fa98eecd1bea8e9b4153a103717ad2cd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-factoextra-1.0.7-r41hc72bb7e_1.tar.bz2”h0Œ@0338d1ac2525391d0d91d9c9cf317877bd254b55616fa19bf6a198dca26e3892”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-dendextend”Œr-factominer”Œr-ggplot2 >=2.2.0”Œr-ggpubr >=0.1.5”Œ	r-ggrepel”Œ
r-reshape2”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ,1ãSøhEJ³¤ hFˆub•      h)”}”(hŒr-flowr”h#Œ0.9.11”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-flowr-0.9.11-r41hc72bb7e_2.tar.bz2”h+Œ 6fd03a242714858477d1f5480f95dac5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-flowr-0.9.11-r41hc72bb7e_2.tar.bz2”h0Œ@09b5d8dea67ec1e6f1ef6023a7e5b60df2e1b8803d42855fab302cba39963f97”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-diagram”Œr-params >=0.7”Œr-readr”Œ	r-whisker”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ~ YûçhEJŒ% hFˆubh)”}”(hŒcc-plugin-glider”h#Œ2.0.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+cc-plugin-glider-2.0.3-pyh9f0ad1d_0.tar.bz2”h+Œ 72f2e9b33abd9324573ff31b84ae96e6”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/cc-plugin-glider-2.0.3-pyh9f0ad1d_0.tar.bz2”h0Œ@b7d90c01cfcd87b8741c1c2b5bc7833dbdf0f07ed5ab9204ed0b124f3f5a23b9”h2NhNh3Œcompliance-checker >=4.3.2”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×±^ü`QìhEM®YhFˆubh)”}”(hŒpyqtconsole”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pyqtconsole-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ d3134e25bd65990bb791269d1722d35d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pyqtconsole-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d37248502ea7a9e013db3774cf9d88f35a7411aab07ac73bf3fddd3b742278b9”h2NhNh3Œjedi”Œpython >=3.6”Œqtpy”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØz«ãThEMThFˆubh)”}”(hŒr-misc3d”h#Œ0.9_1”h%Œr41ha770c72_0”h'K hhh(h)hŒ$r-misc3d-0.9_1-r41ha770c72_0.tar.bz2”h+Œ 7a37af4af1cc6a46a1bbd3d257c8f720”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-misc3d-0.9_1-r41ha770c72_0.tar.bz2”h0Œ@fa7ba47672ca8d8dcd19f03ef99a092ffdbe8253364ae27638e9537cef13574c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØWé†Æ¸RhEJ(ú hFˆubh)”}”(hŒr-stratifyr”h#Œ1.0_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-stratifyr-1.0_3-r41hc72bb7e_0.tar.bz2”h+Œ 848f1f1df2c3bd8e43971026e4a023c5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-stratifyr-1.0_3-r41hc72bb7e_0.tar.bz2”h0Œ@987d2aaf629b74d977cd86665b50f7029ebef9b01c9eb6f9aba2fcbb8a90db1e”h2NhNh3(Œr-actuar”Œr-base >=4.1,<4.2.0a0”Œr-fitdistrplus”Œr-mc2d”Œ
r-triangle”Œr-zipfr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØs5Õ²-hEJI© hFˆubh)”}”(hŒ	r-geojson”h#Œ0.3.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-geojson-0.3.4-r41hc72bb7e_0.tar.bz2”h+Œ 214f22ad3159044d9951359d37a6f12c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-geojson-0.3.4-r41hc72bb7e_0.tar.bz2”h0Œ@215c5ccbc1ec37eec556d414f4d71af6426f4fbd3735ddecab3c5b633786932b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-jqr >=1.1.0”Œr-jsonlite >=1.6”Œ
r-lazyeval”Œ
r-magrittr”Œr-protolite >=1.8”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*öLIºhEJÇ hFˆubh)”}”(hŒpolicy_sentry”h#Œ0.11.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*policy_sentry-0.11.10-pyhd8ed1ab_0.tar.bz2”h+Œ 4b59985061ac381a097e23a070e50424”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/policy_sentry-0.11.10-pyhd8ed1ab_0.tar.bz2”h0Œ@136261f1ee1fc5344a1f61e1c37f6df7bb102e93b06ba176fcaf335d64e2264b”h2NhNh3(Œbeautifulsoup4”Œclick”Œpython >=3.6”Œpyyaml”Œrequests”Œschema”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ+‘ß%?}hEJ˜þ hFˆubh)”}”(hŒr-d3heatmap”h#Œ0.6.1.2”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ,r-d3heatmap-0.6.1.2-r41hc72bb7e_1003.tar.bz2”h+Œ 5f91a632c9c0ee11485da8d6dc526db4”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-d3heatmap-0.6.1.2-r41hc72bb7e_1003.tar.bz2”h0Œ@0a223267f363e57d6e7be8975c63e553feed135a616a7214767efab72788bc69”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-dendextend >=0.18.0”Œr-htmlwidgets”Œr-png”Œr-scales >=0.2.5”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+Åü¯®hEJÛª hFˆubh)”}”(hŒr-breakaway”h#Œ3.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-breakaway-3.0-r40h6115d3f_1.tar.bz2”h+Œ 9af190a63d1da2997e9ad301269d7cd7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-breakaway-3.0-r40h6115d3f_1.tar.bz2”h0Œ@4f1c01e7c9cfccf03c801c718d88909fae4b826b844d988e194c997cd1cd73df”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬"ž‚JhEJ^T hFˆubh)”}”(hŒr-rfutilities”h#Œ2.1_5”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-rfutilities-2.1_5-r36h6115d3f_0.tar.bz2”h+Œ 7c1871a37819b0b9515561d23a549ee2”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rfutilities-2.1_5-r36h6115d3f_0.tar.bz2”h0Œ@b581aba19d98214890bbed99fe27fa0e0943aedc06e8cfb18b328dd3419110dc”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”Œr-randomforest >=4.6_12”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×€TìZŸ¾hEJÎÈ hFˆubh)”}”(hŒp11-kit-cos6-x86_64”h#Œ0.18.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/p11-kit-cos6-x86_64-0.18.5-hdf0574f_102.tar.bz2”h+Œ d27d9f0e3980bc5cc9fa5ac1bf428400”h.Œ]https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos6-x86_64-0.18.5-hdf0574f_102.tar.bz2”h0Œ@dea4c17536eed1ff2a8feecdf797c483bc32531f5796d6f80d1d31f04f2fa1be”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Åá{nE¢hEJ×£ hFˆubh)”}”(hŒ
r-powerlaw”h#Œ0.70.6”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-powerlaw-0.70.6-r40h6115d3f_1.tar.bz2”h+Œ e4ce52c7e38f5cc5095b36c3fb977a6a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-powerlaw-0.70.6-r40h6115d3f_1.tar.bz2”h0Œ@ce4865fe10f1cd4c21e018677dbfb9f01535f77eefd7e51240a6d494aed18313”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-pracma”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×¬mÐ ÅhEJn¦2 hFˆubh)”}”(hŒr-venn”h#Œ1.11”h%Œr40ha770c72_0”h'K hhh(h)hŒ!r-venn-1.11-r40ha770c72_0.tar.bz2”h+Œ 69952bba6748eecf29d4edb952a7129a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-venn-1.11-r40ha770c72_0.tar.bz2”h0Œ@e341948e1883094dfdeb7131e51bc1f385b9cdd4917e08d30799b8c1358d5bc2”h2NhNh3Œr-admisc >=0.5”Œr-base >=4.0,<4.1.0a0”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ¨S–Éë…hEJÞ hFˆubh)”}”(hŒasdf”h#Œ2.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ asdf-2.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ e5c64bb79c050eb190b232aa466824ae”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/asdf-2.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@eab5f60b7a906f88395219bb953fbba2fa3e07c94d2d3802c8af0b91b6adfb90”h2NhNh3(Œimportlib_resources >=3”Œjmespath >=0.6.2”Œjsonschema >=3.0.2,<4”Œnumpy >=1.10”Œpackaging >=16.0”Œpython >=3.6”Œpyyaml >=3.10”Œsemantic_version >=2.8”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØƒêºÔ‹DhEJÕ; hFˆubh)”}”(hŒfontconfig-cos7-ppc64le”h#Œ2.13.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3fontconfig-cos7-ppc64le-2.13.0-h9d98e8f_104.tar.bz2”h+Œ 7b65b89b013333a4786aa42946778cc7”h.Œahttps://conda.anaconda.org/conda-forge/noarch/fontconfig-cos7-ppc64le-2.13.0-h9d98e8f_104.tar.bz2”h0Œ@9187ca7198901dcd98a637245e54d30834b915bb7be418a5690938917ebe0cdd”h2NhNh3Œ!freetype-cos7-ppc64le >=2.8 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×Éz9¡ËhEJ2î hFˆubh)”}”(hŒr-functional”h#Œ0.6”h%Œ	r351_1000”h'Mèhhh(h)hŒ"r-functional-0.6-r351_1000.tar.bz2”h+Œ 27b6b265bd0cee3c6b956822b4f637d9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-functional-0.6-r351_1000.tar.bz2”h0Œ@be7c65386b2086d52d07d212e83c53c0838ff23ea2fc64e1315100ec58f98fd7”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖû­¸§ÎÙhEMÂ]hFˆubh)”}”(hŒblackboxauditing”h#Œ0.1.54”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ,blackboxauditing-0.1.54-pyhd8ed1ab_1.tar.bz2”h+Œ f14c1e555bdd13f29582d0102b143496”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/blackboxauditing-0.1.54-pyhd8ed1ab_1.tar.bz2”h0Œ@b508186f114771aeaa60b8cfdd8fe517a8c033e941d75c816ffa4ea8a4d1a536”h2NhNh3(Œmatplotlib-base”Œnetworkx”Œnumpy”Œpandas”Œpython >=3.6”Œscikit-learn”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÛK0¥ãhEJ hFˆubh)”}”(hŒsysroot-cos7-x86_64”h#Œ2.17”h%Œ
h1a5fb1d_7”h'Khhh(h)hŒ+sysroot-cos7-x86_64-2.17-h1a5fb1d_7.tar.bz2”h+Œ a5b67d2cba718b17c020c09f0570c2f9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h1a5fb1d_7.tar.bz2”h0Œ@8413d67d39be7a4d1af1683d2d08bde6b8f150d6cfe336ff6d0cc6c8315149df”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶úcE¢hEMÊhFˆubh)”}”(hŒdjango-pkgconf”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒ!django-pkgconf-0.3.0-py_0.tar.bz2”h+Œ 6dfef8e426b5f134f77ecd40d996d379”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/django-pkgconf-0.3.0-py_0.tar.bz2”h0Œ@b0f54ae4438315dd0790283fb784fc0e38422487fcaeb2d467c3eaa85b644b9a”h2NhNh3Œdjango”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEM*hFˆubh)”}”(hŒr-ezcox”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-ezcox-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ 1c62472bc74d9dd8fe45f30874148742”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ezcox-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@0ecb02f493ca2d4d399be967bcb940df00c30ac0ba0289d8472abacb67437a43”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.8.3”Œr-forestmodel”Œ	r-ggplot2”Œr-magrittr >=1.5”Œr-purrr >=0.3.2”Œr-rlang >=0.1.2”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ^¸Ì1'hEJ¿¨
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”A™šhEJ6 hFˆubh)”}”(hŒr-plackettluce”h#Œ0.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-plackettluce-0.4.2-r41hc72bb7e_0.tar.bz2”h+Œ 11f247e2b940ff55726110d32b27e519”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-plackettluce-0.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@fffca8cbed41b2f213cb0be2192eafac4b09d5e7430c24111e94361b3fda7629”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cvxr”Œr-igraph”Œr-matrix”Œr-matrixstats”Œ
r-partykit”Œr-psychotools”Œr-psychotree”Œr-qvcalc”Œr-r6”Œ
r-rspectra”Œ
r-sandwich”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¾ŒæE¢hEJ­X hFˆubh)”}”(hŒlibxft-cos7-ppc64le”h#Œ2.3.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.libxft-cos7-ppc64le-2.3.2-h9d98e8f_104.tar.bz2”h+Œ de1e05e28e959c980bb103ecaa3e335b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-ppc64le-2.3.2-h9d98e8f_104.tar.bz2”h0Œ@32364f17181d1350c2241c7331288532c77a44ef9eac550cfae561b395a1e42c”h2NhNh3Œ#fontconfig-cos7-ppc64le >=2.2 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|Ž”IºhEMŽóhFˆubh)”}”(hŒarby”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒarby-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 7f6d5dde0b4a6644d7dcbd54b5b83fcf”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/arby-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@4d4627044b915682d2aec3960c113970f66ec01d42c8f6b745e09329915a9d33”h2NhNh3(Œattrs”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¼ï¸bNhEMÝ?hFˆubh)”}”(hŒflask-assets”h#Œ2.0”h%Œpy_0”h'K hhh(h)hŒflask-assets-2.0-py_0.tar.bz2”h+Œ a21c63584cb80de65890fbe0479671ad”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/flask-assets-2.0-py_0.tar.bz2”h0Œ@3eef1157045d886dc165b3e9b4e84d122943792a238d7237583b298b0d89d7a8”h2NhNh3(Œflask >=0.8”Œpython”Œ
setuptools”Œwebassets >=2.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×€’¢v5?hEMt+hFˆubh)”}”(hŒr-tidyposterior”h#Œ1.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-tidyposterior-1.0.0-r40hc72bb7e_0.tar.bz2”h+Œ 3fa2467f0d6f4c21eb58fa23b7744f60”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-tidyposterior-1.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@6d1a3dc41cd8d0df5006f953670203a14f730028ea1ebc0008311265e4fad4ba”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >1.0.0”Œ
r-generics”Œ	r-ggplot2”Œr-purrr”Œr-rlang”Œr-rsample >=0.0.2”Œr-rstanarm >=2.21.1”Œr-tibble”Œr-tidyr >=0.7.1”Œr-tune >=0.1.2.9000”Œr-vctrs >=0.3.0”Œr-workflowsets”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ­Q€Z\hEJ*
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} hFˆubh)”}”(hŒpydispatcher”h#Œ2.0.5”h%Œpy_1”h'Khhh(h)hŒpydispatcher-2.0.5-py_1.tar.bz2”h+Œ 2929e4719e77db31b13f85592d277222”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pydispatcher-2.0.5-py_1.tar.bz2”h0Œ@f6cfe5a981cb713e3f54d4cb5bc2b51bf5cd096d09e5a550a83091d009adf9fa”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖÓV7EhEMð.hFˆubh)”}”(hŒr-d3heatmap”h#Œ0.6.1.2”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ,r-d3heatmap-0.6.1.2-r36h6115d3f_1002.tar.bz2”h+Œ 69f146fc1c793225a0fbdfa81d212c96”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-d3heatmap-0.6.1.2-r36h6115d3f_1002.tar.bz2”h0Œ@8b4954606877536269ff72dd8b9ca54ff997a9423c63242522aecbdbd6fbe93c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-base64enc”Œr-dendextend >=0.18.0”Œr-htmlwidgets”Œr-png”Œr-scales >=0.2.5”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×MnµVhEJàš hFˆubh)”}”(hŒr-fresh”h#Œ0.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-fresh-0.2.0-r40hc72bb7e_0.tar.bz2”h+Œ f9b23f6371529155a1a6dab8d24b87d0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fresh-0.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@e8b64f3139187630e94c119b9f1d9dc8a9e16462eb103b5a73a326a5306fcb1a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-rstudioapi”Œr-sass”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØJsmOßhEJÒB hFˆubh)”}”(hŒimagingreso”h#Œ1.7.4”h%Œpyh44b312d_0”h'K hhh(h)hŒ&imagingreso-1.7.4-pyh44b312d_0.tar.bz2”h+Œ 9e4ed6096626de3533343492775fb8af”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/imagingreso-1.7.4-pyh44b312d_0.tar.bz2”h0Œ@7863aa000bd0e70b341f03a141d92558ce1fbdf34f0007adbae79fee28f225b4”h2NhNh3(Œ
matplotlib”Œnumpy”Œpandas”Œperiodictable”Œplotly”Œpython”Œscipy”Œsix”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAØæö´9XhEM][hFˆubh)”}”(hŒmkdocs-click”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'mkdocs-click-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3b8fd994667dcade83cb599c487f4a73”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/mkdocs-click-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@78139d27c57ba0d6f56af8183a8627ad539001792934db08a6d404cf2dee1bad”h2NhNh3Œclick >=7,<9”Œmarkdown >=3,<4”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ’9X>ÙhEM`FhFˆubh)”}”(hŒlibselinux-devel-cos6-x86_64”h#Œ2.0.94”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8libselinux-devel-cos6-x86_64-2.0.94-h9d98e8f_104.tar.bz2”h+Œ 6814ebf8d64006cabc2ac1be58edcde3”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos6-x86_64-2.0.94-h9d98e8f_104.tar.bz2”h0Œ@d1291155b67ad62e4651e753a1726e16865f47d395c540cbba77a35632e8212a”h2NhNh3Œ%libselinux-cos6-x86_64 ==2.0.94 *_104”Œ)libsepol-devel-cos6-x86_64 >=2.0.32 *_104”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×É|¢¨bNhEJ/ hFˆubh)”}”(hŒmythx-models”h#Œ2.0.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'mythx-models-2.0.1-pyhd8ed1ab_1.tar.bz2”h+Œ 17680f8a2ca51245bd3bab57e7bb9452”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/mythx-models-2.0.1-pyhd8ed1ab_1.tar.bz2”h0Œ@98b432dc777ef1dba8c23b6dc7eee34e6d7f3b32cb46b63825cfa127c2572d9a”h2NhNh3(Œinflection 0.5.1”Œjsonschema 3.2.0”Œpydantic 1.7.3”Œpython >=3.6,<4”Œpython-dateutil 2.8.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¢ñªhEMàdhFˆubh)”}”(hŒ
bmi-tester”h#Œ0.4.4”h%Œpy_0”h'K hhh(h)hŒbmi-tester-0.4.4-py_0.tar.bz2”h+Œ 9a29a3ff69896fd1725c0ce3e37492eb”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/bmi-tester-0.4.4-py_0.tar.bz2”h0Œ@c9355faabdb8c2d7aa313bb63f300b03be32b6964a89c172ecacee85aecae982”h2NhNh3(Œcfunits”Œclick”Œmodel_metadata”Œnumpy”Œpytest”Œ
python >=3”Œ	scripting”Œstandard_names”t”h9h?h@ŒMIT”hBŒMIT”hDGA×®·+hEMý;hFˆubh)”}”(hŒ	shortuuid”h#Œ1.0.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%shortuuid-1.0.11-pyhd8ed1ab_0.tar.bz2”h+Œ e44c4db20108c678ab49400e027c5d44”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/shortuuid-1.0.11-pyhd8ed1ab_0.tar.bz2”h0Œ@147e6ad6a5a0a3147c973b46c5aa91ce69c7863311ee620f2450238458bf3a20”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÝ¢ÿ?¾whEMš4hFˆubh)”}”(hŒlibdrm-cos7-ppc64le”h#Œ2.4.97”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/libdrm-cos7-ppc64le-2.4.97-hdf0574f_102.tar.bz2”h+Œ bcbcbbc23c89ee2ee72f1cddd2ec3174”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-ppc64le-2.4.97-hdf0574f_102.tar.bz2”h0Œ@1dab2fa14884bbe6331ebea2c060e7a80bcad84fbc6ce1e9d7802690e98930ca”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+$í‘hEJ,… hFˆubh)”}”(hŒ
rb-logging”h#Œ1.8.2”h%Œ
hc42de5b_0”h'K hhh(h)hŒ#rb-logging-1.8.2-hc42de5b_0.tar.bz2”h+Œ 59521838d6ed49062894ea3d79dbe329”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rb-logging-1.8.2-hc42de5b_0.tar.bz2”h0Œ@69fcd80ee3e3ba6383f12f87851129eda03c5116c581538b26d7010335d34e4c”h2NhNh3Œrb-little-plugger >=1.1.4,<2”Œrb-multi_json >=1.13.1,<1.14”Œruby >=2.6.3,<2.7.0a0”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×`8 bNhEJŸ› hFˆubh)”}”(hŒr-venneuler”h#Œ1.1_3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-venneuler-1.1_3-r42hc72bb7e_1.tar.bz2”h+Œ 04ac994730674563a8e3d01fc180e04d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-venneuler-1.1_3-r42hc72bb7e_1.tar.bz2”h0Œ@7c41d3c97431144160b2c4322b1d319c112bd9ccfffd1402e74b893625fa7e09”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjava”†”h9hºh@ŒMPL-1.1”hBŒOTHER”hDGAØÑ?Ìš°!hEMQâhFˆubh)”}”(hŒaghast”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒaghast-0.2.1-py_0.tar.bz2”h+Œ b7b4c7c1d66d0a8844bfc587772360b0”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/aghast-0.2.1-py_0.tar.bz2”h0Œ@b4698c9573bb1baec79fff3a89407b5dc9708cc864335dcfdfd869f51f8439c9”h2NhNh3Œnumpy”Œpython”Œpython-flatbuffers >=1.8.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×,^_§l‹hEJJ… hFˆubh)”}”(hŒr-anocva”h#Œ0.1.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-anocva-0.1.1-r36hc72bb7e_0.tar.bz2”h+Œ 82685ee73e835892c23b74dac8f3ae47”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-anocva-0.1.1-r36hc72bb7e_0.tar.bz2”h0Œ@f87c48cd24f1b540f56eef35b5e39bfbe14d9bab2b35c90edeb182c5f2de705f”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ/Dë33hEMãhFˆubh)”}”(hŒatk-devel-cos7-aarch64”h#Œ2.28.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ3atk-devel-cos7-aarch64-2.28.1-ha826a6f_1103.tar.bz2”h+Œ b232bba844f2d4a40bbb15d118bf6a20”h.Œahttps://conda.anaconda.org/conda-forge/noarch/atk-devel-cos7-aarch64-2.28.1-ha826a6f_1103.tar.bz2”h0Œ@682ea04813c79d1c91aac404ba9867d3897a5e3caeb19ff8e993d73ca2f70497”h2NhNh3Œ atk-cos7-aarch64 ==2.28.1 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1ê%¸hEJÝÔ hFˆubh)”}”(hŒr-egg”h#Œ0.4.5”h%Œr40h6115d3f_2”h'Khhh(h)hŒ!r-egg-0.4.5-r40h6115d3f_2.tar.bz2”h+Œ 5d45113421c213fd7f67b1c231cc8c8a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-egg-0.4.5-r40h6115d3f_2.tar.bz2”h0Œ@a0507661295cd894f45404e3549ebf31cbf35ba1c85705d541ff6a8ba581fbe0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-gridextra >=2.3”Œr-gtable”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬Žxs…hEJ)Î hFˆubh)”}”(hŒ
pcicrawler”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pcicrawler-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5bdfc15926869f08755f15347981fe0d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pcicrawler-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f5b3a6e2628f092a87a537a969d4f1173e1072908f92eed99a561d40d928343b”h2NhNh3Œclick”Œpython >=3.6”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ48©*áHhEMüKhFˆubh)”}”(hŒr-semnetdictionaries”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ0r-semnetdictionaries-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 81832b49bf67c91593aa9f1b7be900e1”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-semnetdictionaries-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@aa8db4f42598bd9bc50a1a8cf9a3bd1c41c8f2de96e54fe5831ee44f4abda3ff”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-easycsv”Œr-knitr”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑLq¼ÌÍhEJþó5 hFˆubh)”}”(hŒ
r-minicran”h#Œ0.2.16”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-minicran-0.2.16-r40hc72bb7e_0.tar.bz2”h+Œ 2efe8f43d4d87a43485953c7d734418b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-minicran-0.2.16-r40hc72bb7e_0.tar.bz2”h0Œ@d9acd29788f6875e8933dd84435dbda739cbd7ee0b948c2c50df63e3b9b3e885”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-httr”Œr-igraph”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ‚AÇl‹hEJº hFˆubh)”}”(hŒr-genalg”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-genalg-0.2.1-r41hc72bb7e_0.tar.bz2”h+Œ 9ee39c74ed9f4153d2578b553b4f7b0a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-genalg-0.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@27fb68fa381bf7b9bb82ed94e1dc7c0b682f983c33525a9e67f2d3e4446ace3b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ’Ý¾îhEMÒhFˆubh)”}”(hŒ
r-elliptic”h#Œ1.4_0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ&r-elliptic-1.4_0-r35h6115d3f_1.tar.bz2”h+Œ 34edad57f78206e852579390725a7e9e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elliptic-1.4_0-r35h6115d3f_1.tar.bz2”h0Œ@83cd9f22a588e3400b24d05c28f4442352f6a075e160f495c2265e4843d954bd”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Kþ§+dZhEJ— hFˆubh)”}”(hŒsatmad”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!satmad-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 30f979a8d64c53c1db3e1f6fdb830088”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/satmad-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@246fe5f6f7bae239b00819fe688c0de4c4a6c66d15b796d6c04e42a49f9b2209”h2NhNh3(Œastropy”Œjplephem”Œmatplotlib-base”Œnumpy”Œportion”Œpyerfa”Œpython >=3.7”Œscipy”Œsgp4”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ,%ƒµ?}hEJÝ` hFˆubh)”}”(hŒ
r-medrxivr”h#Œ0.0.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-medrxivr-0.0.5-r40hc72bb7e_0.tar.bz2”h+Œ 54b66350e57be4f65876f5b0490db9bc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-medrxivr-0.0.5-r40hc72bb7e_0.tar.bz2”h0Œ@782cb86d0d388cc3bcc6e71f5d32adf52cd3dcc823d6f7e0955361704694e020”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-bib2df”Œr-curl”Œr-data.table”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ
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r-gwidgets”h#Œ0.0_54.2”h%Œr41ha770c72_2”h'Khhh(h)hŒ)r-gwidgets-0.0_54.2-r41ha770c72_2.tar.bz2”h+Œ a7028eb4bf132b84189639a5ff49f69f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets-0.0_54.2-r41ha770c72_2.tar.bz2”h0Œ@dd584129ff92d270816f8efe4b07fb8df2d8e62b4e0268490ee2cc5823e4d96a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ,ÓhEJ£ hFˆubh)”}”(hŒrb-jekyll-theme-merlot”h#Œ0.1.1”h%Œ
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hEJ@³ hFˆubh)”}”(hŒlibxft-cos7-aarch64”h#Œ2.3.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libxft-cos7-aarch64-2.3.2-ha826a6f_1103.tar.bz2”h+Œ c2fd20a5b7de2260782703998886369c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-aarch64-2.3.2-ha826a6f_1103.tar.bz2”h0Œ@6a697b0dcb14b7b84487ef4a4335b620c30034623b91a8a77f434d0c2923eed1”h2NhNh3Œ$fontconfig-cos7-aarch64 >=2.2 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2ŸâÐåhEM–çhFˆubh)”}”(hŒ
r-cetcolor”h#Œ0.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-cetcolor-0.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 1942d8c7ce65d43b183d56c896e0d800”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cetcolor-0.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@8fed9afc40c1b4edd1ebf7bb974d677940de159717583423a05471d6722c61b4”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒCC-BY-SA-4.0”hBŒCC”hDGA×ÿÅˆ ÅhEJu* hFˆubh)”}”(hŒr-xlconnectjars”h#Œ0.2_15”h%Œr40h6115d3f_3”h'Khhh(h)hŒ,r-xlconnectjars-0.2_15-r40h6115d3f_3.tar.bz2”h+Œ 5799560a8b5d9eab3bfef08f5bada0a5”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-xlconnectjars-0.2_15-r40h6115d3f_3.tar.bz2”h0Œ@a0851d12cf10a4e221c3c628d3db017eb1dde182143d038fcdb4f2fe3a6b05f6”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×ÁŠ€ÄœhEJCÞ hFˆubh)”}”(hŒr-gpca”h#Œ1.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ r-gpca-1.0-r36h6115d3f_1.tar.bz2”h+Œ 41310dbe226fda537b2c127ffeeb4079”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-gpca-1.0-r36h6115d3f_1.tar.bz2”h0Œ@a8943ea87bdf4f1a8ddb375a1ba959f96af8e05dc9021ec7d967b502cac7f8d8”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ÀÂ‚=qhEJl@ hFˆubh)”}”(hŒ	r-permute”h#Œ0.9_7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-permute-0.9_7-r41hc72bb7e_0.tar.bz2”h+Œ 3c21525b226d3d503e195d311b4710fa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-permute-0.9_7-r41hc72bb7e_0.tar.bz2”h0Œ@10bc5d60a1de08ab31f355ae0fd0a13d96c5ef3751580e6bb5fdba19cba0b262”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ|±©²hEJÔ hFˆubh)”}”(hŒp11-kit-trust-cos6-x86_64”h#Œ0.18.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ6p11-kit-trust-cos6-x86_64-0.18.5-ha826a6f_1103.tar.bz2”h+Œ 3ee8c445358f44f08b23763bd2fa684a”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos6-x86_64-0.18.5-ha826a6f_1103.tar.bz2”h0Œ@cffc1971bb0eb2f7ef9787e27c00c84a073e8de6ee1591903a12bd303f9a63eb”h2NhNh3Œ#p11-kit-cos6-x86_64 ==0.18.5 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ2e8´9hEJh+ hFˆubh)”}”(hŒretrying”h#Œ1.3.3”h%Œpy_2”h'Khhh(h)hŒretrying-1.3.3-py_2.tar.bz2”h+Œ a11f356d6f93b74b4a84e9501afd48b4”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/retrying-1.3.3-py_2.tar.bz2”h0Œ@ef407b88c45171f41eadcbbcfd41243cb137fe7438fc18f4cd08181c522664cf”h2NhNh3Œpython”Œsix >=1.7.0”†”h9h?h@Œ
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r-jsonlite”Œr-leafem”Œr-leaflet >=2.0.2”Œ
r-magrittr”Œ
r-processx”Œr-r6”Œr-reticulate >=1.24”Œr-rstudioapi >=0.7”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÈ+hLzáhEJ®{? hFˆubh)”}”(hŒlibxau-devel-cos7-ppc64le”h#Œ1.0.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4libxau-devel-cos7-ppc64le-1.0.8-hdf0574f_102.tar.bz2”h+Œ 3401582f53b13d20665babb607e2ef20”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos7-ppc64le-1.0.8-hdf0574f_102.tar.bz2”h0Œ@829e0c153f70696f03a0d3299893ac5f64de7cdf23a734443bef26d905e47a2a”h2NhNh3Œ!libxau-cos7-ppc64le ==1.0.8 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å¶þ¶‡+hEM]#hFˆubh)”}”(hŒr-shinycustomloader”h#Œ0.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ/r-shinycustomloader-0.9.0-r41hc72bb7e_0.tar.bz2”h+Œ 978ab85b45e161962c5559ef98f1e611”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-shinycustomloader-0.9.0-r41hc72bb7e_0.tar.bz2”h0Œ@cde6dc69e3f1c6a7589a5c19a194a8a22f25d20886baf0c0e837345b41abbe5d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-shiny”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+S’~úhEM'ÂhFˆubh)”}”(hŒ	deepmerge”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$deepmerge-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9f1e63d5bee74d63fbdafb01313ca617”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/deepmerge-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c454dad1ce0b8277e74fefacf05362f8c286d9e4ad0f015c977afaefcdeedf39”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÕëÿÏ²hEMÓ+hFˆubh)”}”(hŒr-distillery”h#Œ1.2_1”h%Œr41h785f33e_1”h'Khhh(h)hŒ(r-distillery-1.2_1-r41h785f33e_1.tar.bz2”h+Œ 0ab404ac081dfd9abdde1b6bb412872f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-distillery-1.2_1-r41h785f33e_1.tar.bz2”h0Œ@4f022b2aff0c9c66c04bf0bcaadfc418ad15c4eebaf9355a254e83802e0aa722”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ364ýôhEJ˜ hFˆubh)”}”(hŒr-tilegramsr”h#Œ0.2.0”h%Œr35h6115d3f_3”h'Khhh(h)hŒ(r-tilegramsr-0.2.0-r35h6115d3f_3.tar.bz2”h+Œ c00d1f609370107a0fba81db9e83fc98”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tilegramsr-0.2.0-r35h6115d3f_3.tar.bz2”h0Œ@ecd65eadb83cca21aab854371856c9aeec43861a94953cf4cd80318a6632035f”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-sf”Œr-sp”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×\F§®hEJU hFˆubh)”}”(hŒmkdocs-literate-nav”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.mkdocs-literate-nav-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 93e0ddb91f9fb615fa3f9cda31434447”h.Œ\https://conda.anaconda.org/conda-forge/noarch/mkdocs-literate-nav-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e260276d099bf4a904b8c776bf877342f75a14324d7b4438daebb0e5d76561be”h2NhNh3Œmkdocs >=1.0.3”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ…–¾^hEM8<hFˆubh)”}”(hŒr-coro”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-coro-1.0.3-r41hc72bb7e_0.tar.bz2”h+Œ 67565b709d58bb17843a9336477c5f50”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-coro-1.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@6ce67fd6cb48b512e8c02dd3771c5bf3f2cddf8da586f1600e2da3b36a3b1b60”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rlang >=0.4.9”†”h9hºh@ŒMIT”hBŒMIT”hDGAØµÇìzáhEJ¢V hFˆubh)”}”(hŒaiobotocore”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&aiobotocore-2.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9adcdcd7539afff88018c18b650dee50”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/aiobotocore-2.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@27e0984e22168a35bd42e2f844e53695604aeb1c69104c11b74b4c3f1d51c091”h2NhNh3(Œaiohttp >=3.3.1”Œaioitertools >=0.5.1”Œbotocore >=1.27.59,<1.27.60”Œpython >=3.6”Œwrapt >=1.10.10”t”h9h?h@Œ
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speaklater”h#Œ1.3”h%Œpy_3”h'Khhh(h)hŒspeaklater-1.3-py_3.tar.bz2”h+Œ c063a8c64209e3cadcad2367407017f6”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/speaklater-1.3-py_3.tar.bz2”h0Œ@dcb5ebae4a9df1f4899a449273934fb51ad6e59d26c1513d7b99180b7917f2a4”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hEMïhFˆubh)”}”(hŒr-fontquiver”h#Œ0.2.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ+r-fontquiver-0.2.1-r36h6115d3f_1002.tar.bz2”h+Œ be0a7892aeafdb926df5f889d8eea1fb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-fontquiver-0.2.1-r36h6115d3f_1002.tar.bz2”h0Œ@641a96ca66a064f86a6e19c08029f77cde305e66b5674581f9940cd029b7f473”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-fontbitstreamvera >=0.1.0”Œr-fontliberation >=0.1.0”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LDi½?}hEJ'$ hFˆubh)”}”(hŒlibidl-devel-cos7-x86_64”h#Œ0.8.14”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libidl-devel-cos7-x86_64-0.8.14-ha826a6f_1103.tar.bz2”h+Œ 9c1754a8a7c8614d7c868219fbdc0db5”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-x86_64-0.8.14-ha826a6f_1103.tar.bz2”h0Œ@41c01b6d51853f16bda819bcc6bc43fa3aab3a28478495d5eaef6ca1eff20677”h2NhNh3(Œ$glib2-devel-cos7-x86_64 >=2.0 *_1103”Œ"libidl-cos7-x86_64 ==0.8.14 *_1103”Œ"pkgconfig-cos7-x86_64 >=0.8 *_1103”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1²¾whEMìihFˆubh)”}”(hŒtape_proteins”h#Œ0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&tape_proteins-0.5-pyhd8ed1ab_0.tar.bz2”h+Œ bde28343d3abe4546ee6a326a88e4be4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/tape_proteins-0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@e04c53ffe9eab196974db41c300de0c2465d88f56b790699c1586179a537cfeb”h2NhNh3(Œ	biopython”Œboto3”Œfilelock”Œpython >=3.6”Œpython-lmdb”Œpytorch”Œrequests”Œscipy”Œtensorboardx”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‚ª2]`BhEMXÜhFˆubh)”}”(hŒshellescape”h#Œ3.4.1”h%Œpy_0”h'K hhh(h)hŒshellescape-3.4.1-py_0.tar.bz2”h+Œ a582eec0531c034d89c8f608a30f71b9”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/shellescape-3.4.1-py_0.tar.bz2”h0Œ@dde49d3a40cb2fdf05bfb7aefa93e339962fb1aae16d0e0b63ffd90c7743e230”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×gäºŸ¾hEM•hFˆubh)”}”(hŒ
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pyam >=1.2”Œpython >=3.7”Œpython-dotenv”Œscmdata >=0.7.4”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿‰Õ  hEJ÷X hFˆubh)”}”(hŒpyroute2.ipdb”h#Œ0.6.13”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)pyroute2.ipdb-0.6.13-pyhd8ed1ab_1.tar.bz2”h+Œ bcd73ca1979835fc0d1454e59ab1072b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyroute2.ipdb-0.6.13-pyhd8ed1ab_1.tar.bz2”h0Œ@bb0019f58d6b3116d718c4606babccd5cdfd0dfe1c27fa844c6bf88ae5b9db3b”h2NhNh3Œpyroute2.core”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ×àW!7LhEMÀßhFˆubh)”}”(hŒcairo-cos6-x86_64”h#Œ1.8.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ,cairo-cos6-x86_64-1.8.8-hdf0574f_102.tar.bz2”h+Œ aa14b0071ed8ca79f2bd3faa2f21586f”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/cairo-cos6-x86_64-1.8.8-hdf0574f_102.tar.bz2”h0Œ@3f2695345dd77a50e168950de82617dc87d7c116777c9410bba1061f6e127d0b”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Åi:-hEJ¶Ä hFˆubh)”}”(hŒr-ebayesthresh”h#Œ1.4_12”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ.r-ebayesthresh-1.4_12-r40hc72bb7e_1003.tar.bz2”h+Œ 1158ca93109a4f76ea8378398b38086c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-ebayesthresh-1.4_12-r40hc72bb7e_1003.tar.bz2”h0Œ@4a9a5df83424947fd69d8e1a70a7b6bbb80d706e18e250d4caf6f51323c680a9”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-wavethresh”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*ö;G®hEJ¼Ô hFˆubh)”}”(hŒlibxtst-devel-cos7-ppc64le”h#Œ1.2.3”h%Œ
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hd4c1694_0”h'K hhh(h)hŒ8rb-jekyll-environment-variables-1.0.1-hd4c1694_0.tar.bz2”h+Œ a557d92aa548da170bd5712e4fec738f”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-environment-variables-1.0.1-hd4c1694_0.tar.bz2”h0Œ@4e7b848f0d20223ba22fd819cbee768339e53560cbe6d2fecfe4e977840206fe”h2NhNh3Œrb-jekyll >=3.0,<5”Œruby >=2.5.5,<2.6.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×]PÄ9Û#hEMU hFˆubh)”}”(hŒr-gwidgetstcltk”h#Œ0.0_55.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ.r-gwidgetstcltk-0.0_55.1-r40h6115d3f_1.tar.bz2”h+Œ 62a1a6bd21e87edfc79dae9159863c2d”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-gwidgetstcltk-0.0_55.1-r40h6115d3f_1.tar.bz2”h0Œ@8bdaa1c246ddd50c952596ff64975109b12a30886f17b1c96d9f11b6240f278a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-gwidgets >=0.0_51”Œtk >=8.5”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«øñÅOßhEJ@ hFˆubh)”}”(hŒvega_datasets”h#Œ0.9.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ(vega_datasets-0.9.0-pyhd3deb0d_0.tar.bz2”h+Œ c754e69d9d5de4a69ff0972318349bd0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/vega_datasets-0.9.0-pyhd3deb0d_0.tar.bz2”h0Œ@8dbed6cb5f1f861940af3bd2bc6ed05b1134878b5f944a0386b8268c54d882aa”h2NhNh3Œpandas”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ïûÖý`BhEJšÌ hFˆubh)”}”(hŒr-ggdistribute”h#Œ1.0.3”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ-r-ggdistribute-1.0.3-r36h6115d3f_1001.tar.bz2”h+Œ bc4a01912805ffd306def843829ca30f”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-ggdistribute-1.0.3-r36h6115d3f_1001.tar.bz2”h0Œ@beb66e8c6564accbbfdc52f8509e1e0b51c7ad11c2c6f182afb8e493afbbff1e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-dplyr”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-tibble”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M	KÙÊÁhEJ‘â hFˆubh)”}”(hŒglib-networking-cos7-aarch64”h#Œ2.56.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ9glib-networking-cos7-aarch64-2.56.1-ha826a6f_1103.tar.bz2”h+Œ d7a4cc797eea89b7def1c413493da28f”h.Œghttps://conda.anaconda.org/conda-forge/noarch/glib-networking-cos7-aarch64-2.56.1-ha826a6f_1103.tar.bz2”h0Œ@2a7e9c249d08068d39608e1db1923c98ae8f692bd64552394191f359a5a5708e”h2NhNh3Œ"glib2-cos7-aarch64 >=2.55.1 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{3g¾whEJÏB hFˆubh)”}”(hŒr-reportroc”h#Œ3.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-reportroc-3.6-r41hc72bb7e_0.tar.bz2”h+Œ 766f8725263899f2bf7f2d226e2918d2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reportroc-3.6-r41hc72bb7e_0.tar.bz2”h0Œ@d0ff21021000a4a2cf98b7645a851f6c13ca7b5766d0b4f50f6210c4a5f6c035”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-proc”Œr-vcd”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ«8òÒŸ¾hEM·hFˆubh)”}”(hŒnspr-cos7-aarch64”h#Œ4.21.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ.nspr-cos7-aarch64-4.21.0-ha826a6f_1103.tar.bz2”h+Œ 27bd699a98e715179c6d4e9d278c47fe”h.Œ\https://conda.anaconda.org/conda-forge/noarch/nspr-cos7-aarch64-4.21.0-ha826a6f_1103.tar.bz2”h0Œ@4574dd041d4bfb6531787ebdfb173d3b52d583bdeecda6c8393fc4590d758dbb”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ/+p1'hEJq hFˆubh)”}”(hŒterrainbento”h#Œ2.0.0b1”h%Œpy_0”h'K hhh(h)hŒ!terrainbento-2.0.0b1-py_0.tar.bz2”h+Œ b564ba385cac8c6aa41942b0b449c6b5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/terrainbento-2.0.0b1-py_0.tar.bz2”h0Œ@534fe8acfff3af288f69736b460050294a6250bb40a42bc0b2dff31b3e33e170”h2NhNh3(Œdask”Œ	holoviews”Œjupyter”Œlandlab >=2.0.0b5,<2”Œnumpy”Œpandas”Œpython”Œscipy”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGA×‘ÊŠáHhEJv hFˆubh)”}”(hŒ
h3-pyspark”h#Œ1.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%h3-pyspark-1.2.6-pyhd8ed1ab_0.tar.bz2”h+Œ 65326a1d1c2b97b97930cea3f5a16b6c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/h3-pyspark-1.2.6-pyhd8ed1ab_0.tar.bz2”h0Œ@359dd21dd3dfeeff284becd7e8335044f971676dbfc09fc095bdb5941b675030”h2NhNh3(Œh3-py”Œpyspark”Œpython >=3.6”Œshapely”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØŠŒðÒáHhEMöAhFˆubh)”}”(hŒr-chemometricswithr”h#Œ0.1.13”h%Œr35h6115d3f_1”h'Khhh(h)hŒ0r-chemometricswithr-0.1.13-r35h6115d3f_1.tar.bz2”h+Œ 9d4aaff586916771ebad854a174caa3a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-chemometricswithr-0.1.13-r35h6115d3f_1.tar.bz2”h0Œ@95e01c4c77cd75b9a0ba4cf06860b4c5261c85621ace8e4e4f9fc8a62a0e926a”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ
r-devtools”Œ	r-kohonen”Œr-mass”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M$E‚\hEJe hFˆubh)”}”(hŒr-clustimpute”h#Œ0.2.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-clustimpute-0.2.4-r41hc72bb7e_1.tar.bz2”h+Œ d7c484e23b9a2459235ac20af15b5365”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-clustimpute-0.2.4-r41hc72bb7e_1.tar.bz2”h0Œ@59a9b7036cc7fcee09b1d487637b29c0bcba6cd76898aad3923e217fe10e75e1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-clusterr”Œr-copula”Œr-dplyr”Œ	r-ggplot2”Œr-knitr”Œ
r-magrittr”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ”X>hEJ÷?
 hFˆubh)”}”(hŒcatalystcoop.dbfread”h#Œ3.0.0”h%Œpy_0”h'K hhh(h)hŒ'catalystcoop.dbfread-3.0.0-py_0.tar.bz2”h+Œ 301d8b0d49e76f6bd586d2c96c2e259e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/catalystcoop.dbfread-3.0.0-py_0.tar.bz2”h0Œ@bfba35085bcf84c3368b38ed0c5e6f03aeadf0712e866cb9e89283d6ff5292d7”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGA×âv<ã•hEMšUhFˆubh)”}”(hŒr-survivalsvm”h#Œ0.0.5”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-survivalsvm-0.0.5-r41hc72bb7e_2.tar.bz2”h+Œ a7a08ff296d3e0b5266e066edacee47b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survivalsvm-0.0.5-r41hc72bb7e_2.tar.bz2”h0Œ@4341c5ae2600f441b6f2674c72274b21be58646cd4da8f681c946063b7e4dfcb”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-hmisc”Œ	r-kernlab”Œr-matrix”Œr-pracma”Œ
r-quadprog”Œ
r-survival”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ.Î©|9XhEJÇ hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpyhd8ed1ab_11”h'Khhh(h)hŒ*fenics-fiat-2019.1.0-pyhd8ed1ab_11.tar.bz2”h+Œ 5256b8112463002e9d3cf9db075f0986”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-pyhd8ed1ab_11.tar.bz2”h0Œ@4c4fdf815d18f83a77eb223a4bd7df0bf0f2761632550376a9bbdfd27a050e11”h2NhNh3(Œnumpy”Œpython >=3.5”Œ
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linear-tsv”h#Œ1.1.0”h%Œpy_1”h'Khhh(h)hŒlinear-tsv-1.1.0-py_1.tar.bz2”h+Œ 16491914064fdfe1b9a8fba94ac90e9a”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/linear-tsv-1.1.0-py_1.tar.bz2”h0Œ@7d653455e3ab3bdbd064e5a8995cce6e657fb1b2fdd26f0bc62ed57687b16043”h2NhNh3Œpython”Œsix”†”h9h?h@Œ
Apache 2.0”hBŒApache”hDGAÖÔ§óÆ¨hEM•'hFˆubh)”}”(hŒlibxau-cos7-aarch64”h#Œ1.0.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libxau-cos7-aarch64-1.0.8-h9b0a68f_1105.tar.bz2”h+Œ 90197cd2b1a8e7561c82c52eb84a0e94”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-aarch64-1.0.8-h9b0a68f_1105.tar.bz2”h0Œ@4d74422d910aa28d460fe39ac0a11f1c457411cd646e5aeafc2bf4e752309411”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡0Ý¡ËhEMübhFˆubh)”}”(hŒr-orthopolynom”h#Œ1.0_6.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-orthopolynom-1.0_6.1-r41hc72bb7e_0.tar.bz2”h+Œ 9d1dcebd030557fdaebba6587b7541be”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-orthopolynom-1.0_6.1-r41hc72bb7e_0.tar.bz2”h0Œ@0c4d08b6f5bb2a9870ca67a347a9a41a4cedbf117cdfc23b5e77983727c272fb”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-polynom”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÏImwÎÙhEJ^€ hFˆubh)”}”(hŒr-giant”h#Œ1.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-giant-1.3.1-r40hc72bb7e_0.tar.bz2”h+Œ f02572c055b7434dfc33266d6623e798”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-giant-1.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@e423575aa46e82774978c229d03d375cfa331b1ae21dff0a87fa9536b9422f2f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ+(sUp¤hEJ÷g hFˆubh)”}”(hŒasyncio-throttle”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+asyncio-throttle-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 1f43d794aeb4452c30a35b6ca5636cb3”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/asyncio-throttle-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f0cf53ad9a4246e37ba3ef3b545c78ab8c3c09371dafdbcd32a18196a98bb4ac”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÕŽýVE¢hEMq hFˆubh)”}”(hŒlibudev-devel-cos6-x86_64”h#Œ147”h%Œh2da7399_1100”h'MLhhh(h)hŒ3libudev-devel-cos6-x86_64-147-h2da7399_1100.tar.bz2”h+Œ 545effef347364d84214b68278afb769”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libudev-devel-cos6-x86_64-147-h2da7399_1100.tar.bz2”h0Œ@b78b998af947c3926201b9d5d1d547b71626680205335994edf074b535a3f3f2”h2NhNh3Œlibudev-cos6-x86_64 147”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Ä´B^5hEMSphFˆubh)”}”(hŒfontconfig-devel-cos7-ppc64le”h#Œ2.13.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:fontconfig-devel-cos7-ppc64le-2.13.0-h9d98e8f_1104.tar.bz2”h+Œ 7ace9c2d1ba8a28870664b0d0d200e11”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos7-ppc64le-2.13.0-h9d98e8f_1104.tar.bz2”h0Œ@aaaabb9b02ae244ce2cb00515882a1d984b6eb918f4d4a7d9dba6d9aa8fc57a2”h2NhNh3Œ'fontconfig-cos7-ppc64le ==2.13.0 *_1104”Œ(freetype-devel-cos7-ppc64le >=2.8 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×É~¥.ffhEJv hFˆubh)”}”(hŒawscliv2”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#awscliv2-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8b2c460d2614232491f917a8d537efd0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/awscliv2-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0c42cbf381696331ff0342cdafe3fe847c0a7f3441566d180fcf69b9c7b1a2ba”h2NhNh3Œexecutor”Œimportlib-resources”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØŠ)EVhEMR6hFˆubh)”}”(hŒ	r-logging”h#Œ0.10_108”h%Œr35_1”h'Khhh(h)hŒ r-logging-0.10_108-r35_1.tar.bz2”h+Œ cec651b2972b1f9dd1f9f0a751ec9104”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-logging-0.10_108-r35_1.tar.bz2”h0Œ@50a9502b9e8c5e2fb7d8a279a2771796d2bef897b8f5fd8c7e3dcf4a6f190e44”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
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r-isingfit”Œr-mass”Œ	r-pbapply”Œr-ppcor”Œr-psych”Œr-pwr”Œr-qgraph”Œ
r-r.matlab”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒùÍçPhEJ‰i hFˆubh)”}”(hŒr-msar”h#Œ0.6.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-msar-0.6.0-r41hc72bb7e_0.tar.bz2”h+Œ 3a3340c265cfda38cf28ab355280513b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-msar-0.6.0-r41hc72bb7e_0.tar.bz2”h0Œ@2607671e9f3ee4db27be0bd535a48074988b04e978eba3170667ab87db7fea52”h2NhNh3Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets”‡”h9hºh@ŒBSL-1.0”hBŒOTHER”hDGAØŸþ­ª\hEJ_/ hFˆubh)”}”(hŒkernel-headers-cos6-x86_64”h#Œ2.6.32”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7kernel-headers-cos6-x86_64-2.6.32-h9b0a68f_1105.tar.bz2”h+Œ 415bc909d084f5762222b3ddd5102f70”h.Œehttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos6-x86_64-2.6.32-h9b0a68f_1105.tar.bz2”h0Œ@53abfd81fb936e30dd71be9bf2531519f8e1e74c4a43bf4bd395e9466dc1ad75”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@Xá‰G®hEMÅhFˆubh)”}”(hŒimgurpython”h#Œ1.1.7”h%Œpy_1”h'Khhh(h)hŒimgurpython-1.1.7-py_1.tar.bz2”h+Œ 823a89f9d410ff3ea4d9c00189f9f21d”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/imgurpython-1.1.7-py_1.tar.bz2”h0Œ@a09003b252175c0be28449b1557530dbb6193de5211943cf266993740badb934”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖø~æòŸ¾hEM1.hFˆubh)”}”(hŒr-snow”h#Œ0.4_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-snow-0.4_4-r41hc72bb7e_0.tar.bz2”h+Œ 6e7a0c895d09c4e035262a850d69a994”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-snow-0.4_4-r41hc72bb7e_0.tar.bz2”h0Œ@4aadf55177ccbc2e4ebb756ad9943a078c417d7ff1e057a80dea6bfcebfaa03c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ^a–ffhEJ¹Å hFˆubh)”}”(hŒipycytoscape”h#Œ1.3.3”h%Œpyh76afe40_0”h'K hhh(h)hŒ'ipycytoscape-1.3.3-pyh76afe40_0.tar.bz2”h+Œ 9b69a22bc282031ccca6fe0fdca879ec”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ipycytoscape-1.3.3-pyh76afe40_0.tar.bz2”h0Œ@c07ff1bc7b4b2027eed6bb53159eec581d0c9c91d8172bbab4537da823499239”h2NhNh3(Œipywidgets >=7.6.0,<8.0.0”Œnetworkx”Œpandas”Œpython >=3.0”Œspectate”Œtraittypes >=0.2.1,<0.3.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ’ê:¡&éhEJ»/ hFˆubh)”}”(hŒaxopy”h#Œ0.2.3”h%Œpy_0”h'K hhh(h)hŒaxopy-0.2.3-py_0.tar.bz2”h+Œ 7080433a303bab057a55cec23253a5c2”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/axopy-0.2.3-py_0.tar.bz2”h0Œ@4ade4e5e6d058a29fa36e4f177766e7c6a38d7651df74464f0371c6dc29cc3d4”h2NhNh3(Œh5py”Œnumpy”Œpandas”Œpyqt >=5”Œpyqtgraph >=0.10”Œpython”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×åwß;hEM!•hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy310h1234567_3”h'Khhh(h)hŒ*pyomniscidb-5.10.2-py310h1234567_3.tar.bz2”h+Œ 40dbe103f279e5f1e587956d3a5dbfd8”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py310h1234567_3.tar.bz2”h0Œ@b53dddeb685e0b58391388f26d37cbae4e7f98e8e03809a745cd6e390038a452”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
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jsonschema”Œ
mongoquery”Œpymongo”Œpython >=3.6”Œpyyaml”Œrequests”Œsix”Œ
tornado <5”Œujson”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ|×F7+hEMþEhFˆubh)”}”(hŒr-mlr3measures”h#Œ0.5.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-mlr3measures-0.5.0-r40hc72bb7e_0.tar.bz2”h+Œ c4cdd33cd64f0cef3cd49f677bf0bc42”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3measures-0.5.0-r40hc72bb7e_0.tar.bz2”h0Œ@6852bd3f8e24041ccb35681f111bd96221aeaf103125ded7148152d9555d8d5a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-checkmate”Œr-prroc”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ»a&˜1'hEJ‚ƒ hFˆubh)”}”(hŒpdfrw”h#Œ0.4”h%Œpy_1”h'Khhh(h)hŒpdfrw-0.4-py_1.tar.bz2”h+Œ 98e3acbe604e541ba0668cb6882da052”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/pdfrw-0.4-py_1.tar.bz2”h0Œ@044b4b52714db9d57ba86398bcec8a202ffeb00bdeae66a9cc766b3d87efaecf”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×—lÆ»çmhEM¿¾hFˆubh)”}”(hŒxcb-util-keysyms-cos7-ppc64le”h#Œ0.4.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9xcb-util-keysyms-cos7-ppc64le-0.4.0-h9d98e8f_1104.tar.bz2”h+Œ ab313f6c7f84ead30f51a52bc6ba0930”h.Œghttps://conda.anaconda.org/conda-forge/noarch/xcb-util-keysyms-cos7-ppc64le-0.4.0-h9d98e8f_1104.tar.bz2”h0Œ@a65e64fed006815fdd0d8da5fa43e15dac0cde9e1f6353a26fffce51ac68d24c”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Óo`r°hEM@3hFˆubh)”}”(hŒr-r.huge”h#Œ0.9.0”h%Œr42ha770c72_1004”h'Mìhhh(h)hŒ'r-r.huge-0.9.0-r42ha770c72_1004.tar.bz2”h+Œ 42e31229516f8350f881ce02eb506391”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-r.huge-0.9.0-r42ha770c72_1004.tar.bz2”h0Œ@c3d4ca6fc453707f1902b05fff2315b5b8434a97fa9b34e045e1df2c7359f9de”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-r.methodss3 >=1.7.0”Œr-r.oo >=1.18.0”Œr-r.utils >=1.34.0”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØÑi´a™šhEJ¬‘ hFˆubh)”}”(hŒr-dbi”h#Œ1.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-dbi-1.1.3-r41hc72bb7e_0.tar.bz2”h+Œ 844d1b00d0665a78c7a0bc55c5c038b2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-dbi-1.1.3-r41hc72bb7e_0.tar.bz2”h0Œ@da63f55fb425e474c587ba35b29604a290f56f1324d47edb7efaeea3b9e169c6”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØ«oaÛ#hEJ.È hFˆubh)”}”(hŒdagster_slack”h#Œ0.6.5”h%Œpy_0”h'K hhh(h)hŒ dagster_slack-0.6.5-py_0.tar.bz2”h+Œ c92c6dc5f0f561fa83084a3dc8fbafa3”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dagster_slack-0.6.5-py_0.tar.bz2”h0Œ@78b6f346d3d04e265edc2bd92659b80a07d4435378c208a1b700f7f9ad248968”h2NhNh3Œdagster 0.6.5.*”Œpython”Œslackclient <2”‡”h9h?h@Œ
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r-mcmcpack”Œr-nnet”Œr-pracma”Œr-proc”Œr-rlang”Œr-sp”Œ	r-statmod”Œr-truncnorm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓYSfùÛhEJ‚ó* hFˆubh)”}”(hŒpython-foton”h#Œ3.1.2”h%Œpyhcfe2094_0”h'K hhh(h)hŒ'python-foton-3.1.2-pyhcfe2094_0.tar.bz2”h+Œ 03270bd6aeecd4a4c37a8362ec815832”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/python-foton-3.1.2-pyhcfe2094_0.tar.bz2”h0Œ@5aca9ada65d4573e2853d4a7c55443d42f439fd03a143e5f82b25f23e844212b”h2NhNh3(Œ'crtools-root-libraries 3.1.2 hfb305e0_0”Œgds-root-extensions-crtools”Œnumpy”Œpython >=3.6”Œ	root_base”Œscipy”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ—nE«¶FhEMf£hFˆubh)”}”(hŒ	r-rtensor”h#Œ1.4.8”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-rtensor-1.4.8-r42hc72bb7e_2.tar.bz2”h+Œ c665c38c165e2e8e450f31a82579f5f3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rtensor-1.4.8-r42hc72bb7e_2.tar.bz2”h0Œ@f57a2d76d11e9769a52d9130b935fde99002291926b042011c30498e4e337053”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑÎ4í‘hEJ"¥ hFˆubh)”}”(hŒr-parsetools”h#Œ0.1.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-parsetools-0.1.3-r41hc72bb7e_2.tar.bz2”h+Œ e062b75f9c739312ec3723689ca02909”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-parsetools-0.1.3-r41hc72bb7e_2.tar.bz2”h0Œ@5c4f3830f0699ca46bbc7c3ba7db4a43abca0c441a9706c7123b42e359b8cdd3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑNÙ7LhEJØ_ hFˆubh)”}”(hŒr-biwt”h#Œ1.0.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ"r-biwt-1.0.1-r41ha770c72_1.tar.bz2”h+Œ fc8e10db42839588fde3905320a8f6a9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-biwt-1.0.1-r41ha770c72_1.tar.bz2”h0Œ@1f4da8b97d96d5a931d3bc356a558003a9667d466024898da8aad10128fb672b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-rrcov”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ¢¡Èr°hEMÕhFˆubh)”}”(hŒr-ecume”h#Œ0.9.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-ecume-0.9.1-r40hc72bb7e_0.tar.bz2”h+Œ 92f0eb4571ae8339c7211147a0422ba5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ecume-0.9.1-r40hc72bb7e_0.tar.bz2”h0Œ@16d2d0c0a3359bf2c77ec55d52279c72e663826d56540e1f559e5cf7aebba670”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-caret”Œr-dplyr”Œr-e1071”Œ	r-kernlab”Œ
r-magrittr”Œ	r-pbapply”Œr-spatstat >=2.0_0”Œr-spatstat.geom”Œr-transport”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ.Pkt¼hEJ d hFˆubh)”}”(hŒrb-i18n”h#Œ0.9.5”h%Œ
hc42de5b_0”h'K hhh(h)hŒ rb-i18n-0.9.5-hc42de5b_0.tar.bz2”h+Œ 075308231a32dd38df9800a518073963”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-i18n-0.9.5-hc42de5b_0.tar.bz2”h0Œ@799e6316463c98a0a3c364ad32ec73e02089e47a6b198ea01b686036a05f612f”h2NhNh3Œrb-concurrent-ruby >=1.0,<2”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×YÏÄ|îhEJ]e hFˆubh)”}”(hŒ
minikanren”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%minikanren-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 0726bd0e32c2edfa48dfbf744579520e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/minikanren-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@f0873262d9ea246dabc7e9c17190b9b04c1f973df1fd26426e14208c4ca62236”h2NhNh3(Œcons >=0.4.0”Œetuples >=0.3.1”Œlogical-unification >=0.4.1”Œmultipledispatch”Œpython >=3.6”Œtoolz”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØz7YúMÓhEMA\hFˆubh)”}”(hŒdoit-with-plugins”h#Œ0.35.0”h%Œpyh44b312d_0”h'K hhh(h)hŒ-doit-with-plugins-0.35.0-pyh44b312d_0.tar.bz2”h+Œ ea115dfe34235d25d181bd4ac27cfb41”h.Œ[https://conda.anaconda.org/conda-forge/noarch/doit-with-plugins-0.35.0-pyh44b312d_0.tar.bz2”h0Œ@83368f814c77f22a9fe4a45b630674b06bab95c73fce36a5114365f2e0b83a57”h2NhNh3Œdoit >=0.35.0,<1.0a0”Œpython >=3.8”Œ
setuptools”‡”h9h?hDGAØ”%KÆ¨hEMhFˆubh)”}”(hŒlibxxf86vm-cos6-x86_64”h#Œ1.1.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ1libxxf86vm-cos6-x86_64-1.1.3-hdf0574f_102.tar.bz2”h+Œ 16c6a169a4c18ec82ac9cc29a2934311”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos6-x86_64-1.1.3-hdf0574f_102.tar.bz2”h0Œ@8ed564b6710af851d221cb49d46c295dc41d0f403dbbada8de1dd0fba0d99921”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+§¬hEMª1hFˆubh)”}”(hŒhveto”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ hveto-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9c03a66b8c39eb8455188b582b2575ae”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/hveto-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b17494f3c74a8077c8f7365cc71816c7064216e9e0daf74dd307f6f2a3fe8c99”h2NhNh3(Œgwdetchar >=2.0.0”Œgwpy >=2.0.0”Œ
gwtrigfind”Œlxml”Œmarkuppy >=1.14”Œmatplotlib-base >=3.1”Œnumpy >=1.10”Œpython >=3.8”Œpython-ligo-lw >=1.5.0”Œscipy”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÆAÖÌÍhEMcâhFˆubh)”}”(hŒr-lfda”h#Œ1.1.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-lfda-1.1.3-r42hc72bb7e_2.tar.bz2”h+Œ c6b8e0a4bd5cb85b9979e140c0e4e69f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lfda-1.1.3-r42hc72bb7e_2.tar.bz2”h0Œ@553c9e8e6250833be63ea3d5a0c1a3eaf3a71957899da370a6d701f3bd0a8c25”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-plyr”Œ	r-rarpack”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ¢iG®hEMôhFˆubh)”}”(hŒrequests-ftp”h#Œ0.3.1”h%Œpy_1”h'Khhh(h)hŒrequests-ftp-0.3.1-py_1.tar.bz2”h+Œ aff436ea5dba8c173af384b4fc00630d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/requests-ftp-0.3.1-py_1.tar.bz2”h0Œ@5bf57fb0d4b466d3c61c2c43f5878fd80ff8b9d2897e103a5dca1a13788d56a7”h2NhNh3Œ
python >=3”Œrequests >=2.3.0”†”h9h?h@Œ
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m. hFˆubh)”}”(hŒr-trust”h#Œ0.1_8”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ#r-trust-0.1_8-r40hc72bb7e_1.tar.bz2”h+Œ a58a6bf8ffe26b2da5ce60fe0cb750b2”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-trust-0.1_8-r40hc72bb7e_1.tar.bz2”h0Œ@bc1d86a44d204d98cc0c070ad2d201f3b8d5c44acca4f7be4732045d0517f9d0”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ*â¡	‡hEJ­k hFˆubh)”}”(hŒ	construct”h#Œ2.10.68”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&construct-2.10.68-pyhd8ed1ab_0.tar.bz2”h+Œ 64cd19892b6ff738c18360ff5d6dcf96”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/construct-2.10.68-pyhd8ed1ab_0.tar.bz2”h0Œ@b27294ce68e8e285d3f9981883983134c0a4eaefd7a7f94e06a94161be34e60c”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØŒœŒCdZhEMÛÌhFˆubh)”}”(hŒr-rlist”h#Œ0.4.6.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-rlist-0.4.6.2-r40hc72bb7e_1.tar.bz2”h+Œ 4f14a27211864eca7b11366aa460e8eb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rlist-0.4.6.2-r40hc72bb7e_1.tar.bz2”h0Œ@5dfd587736383daf5f1bd532eba2cc8f3be3abe5805e3728e283c7bb8d73731c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œ
r-jsonlite”Œr-xml”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØsZãd›¦hEJXæ hFˆubh)”}”(hŒ
dash-table”h#Œ5.0.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%dash-table-5.0.0-pyhd8ed1ab_1.tar.bz2”h+Œ 0f3a1ab1be91a4a3fe0d36544a5c8bdd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/dash-table-5.0.0-pyhd8ed1ab_1.tar.bz2”h0Œ@98dca97cb2ff00777647ed0c706a7e784270e7569cfa0644511d0100687a9396”h2NhNh3Œdash >=2.0.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØƒËÍF—hEM0hFˆubh)”}”(hŒatk-devel-cos6-x86_64”h#Œ1.30.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ2atk-devel-cos6-x86_64-1.30.0-hdf0574f_1102.tar.bz2”h+Œ 947fdb88de9f85e206014292145351c4”h.Œ`https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos6-x86_64-1.30.0-hdf0574f_1102.tar.bz2”h0Œ@246bd832e4a0fa6657d0c6d974f940473f150a7d218729a60da6c4fa8cf49268”h2NhNh3Œatk-cos6-x86_64 ==1.30.0 *_1102”Œ&glib2-devel-cos6-x86_64 >=2.6.0 *_1102”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅjhshEJe hFˆubh)”}”(hŒr-homologene”h#Œ1.4.68.19.3.27”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ1r-homologene-1.4.68.19.3.27-r40hc72bb7e_0.tar.bz2”h+Œ 2ff94aa01d93bada143a433d0551fb1d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-homologene-1.4.68.19.3.27-r40hc72bb7e_0.tar.bz2”h0Œ@2ea90a8a4d413a4e6d6e3042a27b463c3166c983518bbb128682dd4189368c9b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.7.4”Œr-magrittr >=1.5”Œr-purrr >=0.2.5”Œr-r.utils >=2.8.0”Œr-readr >=1.3.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØa«Ÿ»Æ¨hEJW0; hFˆubh)”}”(hŒlibxxf86vm-devel-cos6-x86_64”h#Œ1.1.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8libxxf86vm-devel-cos6-x86_64-1.1.3-h9b0a68f_1105.tar.bz2”h+Œ b5c2716809413e12ab6d46f826a8a69d”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos6-x86_64-1.1.3-h9b0a68f_1105.tar.bz2”h0Œ@cf423d18034b6d2b1dc1da0d633fe1e137a000640490f2f1a618e94330257896”h2NhNh3Œ%libxxf86vm-cos6-x86_64 ==1.1.3 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^+îVhEM1hFˆubh)”}”(hŒ	r-reportr”h#Œ1.3.0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ%r-reportr-1.3.0-r40h6115d3f_2.tar.bz2”h+Œ aa4dccc580da3d4023a682c180837b87”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reportr-1.3.0-r40h6115d3f_2.tar.bz2”h0Œ@5dc1b6277eec7db4fbb5986750639bf5b459892c2e64de726920fdde69d2100a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ore”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬+iº^hEMù·hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-aarch64”h#Œ1.20.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ@xorg-x11-server-common-cos7-aarch64-1.20.4-h9b0a68f_1105.tar.bz2”h+Œ 99bedff2d9f8a6a2b2f491238c8bf4cf”h.Œnhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-aarch64-1.20.4-h9b0a68f_1105.tar.bz2”h0Œ@b8e7e4790e0ebb1c7f4c5ae07a5c4288fea6137c5f961ea8fcdd5c1d02e23142”h2NhNh3Œ#pixman-cos7-aarch64 >=0.30.0 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‹×–§ðhEM#hFˆubh)”}”(hŒ
simple-pid”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%simple-pid-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 64a7e36411d04cb91539e870cc9632b2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/simple-pid-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ba50b2f2075233aac3147e642be422d0d7ff708714f4293d61c5c17f236f4ee5”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ>Ç81'hEM•+hFˆubh)”}”(hŒr-entropyexplorer”h#Œ1.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ+r-entropyexplorer-1.1-r40h6115d3f_1.tar.bz2”h+Œ 12b33bf1319dab231d7661c7898a2910”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-entropyexplorer-1.1-r40h6115d3f_1.tar.bz2”h0Œ@9eddcc3b3e0dd6eb89d1dfe17390a05128ea22089646e5db353231ca9bfa2f2d”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬Ú#G hEJ^K hFˆubh)”}”(hŒr-waterfall”h#Œ1.0.2”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ'r-waterfall-1.0.2-r40hc72bb7e_2.tar.bz2”h+Œ 5348bc7e52877cab2ea00e27515e3841”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waterfall-1.0.2-r40hc72bb7e_2.tar.bz2”h0Œ@bea7376856362826d81e22141e9ee947d73931122670d8388586bfc72a94850a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-lattice”†”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØ+)	%hEMÿ³hFˆubh)”}”(hŒ	r-etrunct”h#Œ0.1”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ&r-etrunct-0.1-r40ha770c72_1002.tar.bz2”h+Œ 6e4dc9fa72d2f4eee011208bc1a2c341”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-etrunct-0.1-r40ha770c72_1002.tar.bz2”h0Œ@b25abca2512189bebe8969542ade776cd28288bf1e557dbb959105c3f52edd51”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ùåãThEM4DhFˆubh)”}”(hŒr-coveffectsplot”h#Œ1.0.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-coveffectsplot-1.0.2-r42hc72bb7e_1.tar.bz2”h+Œ b5a1799a79a75218f8ab71010638f595”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-coveffectsplot-1.0.2-r42hc72bb7e_1.tar.bz2”h0Œ@be1924bf395626a0ce7cfd52708d4e6318f6c4f042413d53adb5f505796fa830”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-colourpicker”Œr-data.table >=1.9.8”Œr-dplyr”Œr-egg”Œr-ggplot2 >=3.3.2”Œ
r-markdown”Œr-shiny”Œ	r-shinyjs”Œr-shinymeta”Œr-table1”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ“qMãThEJ
e$ hFˆubh)”}”(hŒexpat-devel-cos7-ppc64le”h#Œ2.1.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3expat-devel-cos7-ppc64le-2.1.0-h9b0a68f_105.tar.bz2”h+Œ 3c9fa16cd5e6b221ef2dfcb6794c5f71”h.Œahttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-ppc64le-2.1.0-h9b0a68f_105.tar.bz2”h0Œ@7c5e2bad8478cf3b049a8cee8684123d13a18ce14da28a04616a32c94b2469a5”h2NhNh3Œ expat-cos7-ppc64le ==2.1.0 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œ>;C–hEMƒÂhFˆubh)”}”(hŒ	r-candisc”h#Œ0.8_6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-candisc-0.8_6-r42hc72bb7e_1.tar.bz2”h+Œ f6126037c71f2dbe0f4886c6efb01a12”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-candisc-0.8_6-r42hc72bb7e_1.tar.bz2”h0Œ@40bb43911d2d80c92826a30926189907430575f536b42ea17ef8c6072f5e0ddd”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-car”Œr-heplots >=0.8_6”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÓiåãThEJ@Ê hFˆubh)”}”(hŒtypes-fb303”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&types-fb303-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ e8d60ae8cbb19194702257637da2f36b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/types-fb303-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@28f7fa8ab78064acd949cc920d87f83b25484d99e755b6beff21882323bae838”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØJrÌ‚áHhEM^,hFˆubh)”}”(hŒlibrdmacm-devel-cos6-x86_64”h#Œ1.0.21”h%Œh1795305_101”h'Kehhh(h)hŒ7librdmacm-devel-cos6-x86_64-1.0.21-h1795305_101.tar.bz2”h+Œ 5cadb783af0cc8ddb815519cec26ec92”h.Œehttps://conda.anaconda.org/conda-forge/noarch/librdmacm-devel-cos6-x86_64-1.0.21-h1795305_101.tar.bz2”h0Œ@0bf8577e8a87c092a3948bdbee9d984adb24d3678ffa250029a5c3e5846567a4”h2NhNh3Œlibrdmacm-cos6-x86_64 1.0.21”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÄÇ¡ûçhEJK hFˆubh)”}”(hŒlibpng-cos7-aarch64”h#Œ1.5.13”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/libpng-cos7-aarch64-1.5.13-h9b0a68f_105.tar.bz2”h+Œ 2c92007931f49f318e585d5802308cbf”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libpng-cos7-aarch64-1.5.13-h9b0a68f_105.tar.bz2”h0Œ@162b1abd20863cedc3d2b9d0c850965d8fda813177cb20e5884af7f887117784”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGAØ@W bhEJ[ hFˆubh)”}”(hŒr-checkpoint”h#Œ1.0.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-checkpoint-1.0.2-r41hc72bb7e_1.tar.bz2”h+Œ 6364fe2f3248f9d2c52951931bae0a7a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-checkpoint-1.0.2-r41hc72bb7e_1.tar.bz2”h0Œ@d4840c8548ff9abd1685adc2d29ac4a2d895373078ab47d98af1faacc9d0ffd7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-pkgdepends”Œr-withr”Œr-yaml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒœ(£×hEJÞ& hFˆubh)”}”(hŒlibthai-cos7-x86_64”h#Œ0.1.14”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libthai-cos7-x86_64-0.1.14-h9b0a68f_1105.tar.bz2”h+Œ ce945c0a271f2b0774c90c14a96c749f”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-x86_64-0.1.14-h9b0a68f_1105.tar.bz2”h0Œ@bcda5b0c6aecdb1b241628c8e7157830242da215c9699593aa4badba1e1c7906”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@hë8bhEJ:z hFˆubh)”}”(hŒclorm”h#Œ1.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ clorm-1.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ f5d74dc7768954738db052c109841365”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/clorm-1.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@883ac5cefd5cf9de7f0c4f22686f25efc13bd3b5a6134c74c0f08961574dfa55”h2NhNh3Œclingo >=5.4.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÈ°é£×hEJ×Æ hFˆubh)”}”(hŒr-tuneranger”h#Œ0.5”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-tuneranger-0.5-r36h6115d3f_1.tar.bz2”h+Œ 03116441783169a934fe871cde7bfbe9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tuneranger-0.5-r36h6115d3f_1.tar.bz2”h0Œ@329eaadd83c8ab51c545b5edb5403a7cb6878342906cdc06cca24b03c6c52215”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-bbmisc >=1.11”Œr-dicekriging >=1.5.5”Œr-lhs >=0.14”Œr-lubridate >=1.6.0”Œr-mlr >=2.11”Œr-mlrmbo >=1.1.1”Œr-paramhelpers >=1.10”Œr-ranger >=0.8.0”Œr-smoof >=1.5.1”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×²+R å`hEJU= hFˆubh)”}”(hŒpyroute2.core”h#Œ0.6.13”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)pyroute2.core-0.6.13-pyhd8ed1ab_1.tar.bz2”h+Œ 283db98b2beb5f4936c755f0f4df0b08”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyroute2.core-0.6.13-pyhd8ed1ab_1.tar.bz2”h0Œ@a2cd063782c826592dcbe5481d79e2a18607145b494ace3328fd138def55bdc1”h2NhNh3Œpsutil >=5.0”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ×àN1hEJÎÎ hFˆubh)”}”(hŒ
sphinx_gmt”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%sphinx_gmt-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7eb4cb37172987e5453e3a5ff1bd800c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/sphinx_gmt-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5353f799ba43680add4dba23fcd3adfc17c9dcf7c52c6155c6699da6f3b52943”h2NhNh3Œjinja2”Œpython >=3.8”Œsphinx”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ›¬4ô¬hEM2hFˆubh)”}”(hŒr-genius”h#Œ2.2.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-genius-2.2.3-r40hc72bb7e_0.tar.bz2”h+Œ 32fd57e90b68e2ffb22bc8d1119c16bd”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-genius-2.2.3-r40hc72bb7e_0.tar.bz2”h0Œ@9f67b0289e26d52f86b034fb5fa59de512308f8c285baf974af8ba16f79408ca”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.7.0”Œr-purrr”Œr-readr”Œ
r-reshape2”Œr-rvest”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÆŸ±¯l‹hEJËë	 hFˆubh)”}”(hŒmcerp”h#Œ0.12”h%Œpy_0”h'K hhh(h)hŒmcerp-0.12-py_0.tar.bz2”h+Œ 9a7b44e8a515532cb09b94ecdbaaa646”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/mcerp-0.12-py_0.tar.bz2”h0Œ@06b6a5f205449eb23ddb21ba9688695044b24f5537c35e38c8d5fcdad26efb15”h2NhNh3(Œ
matplotlib”Œnumpy”Œpython”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×»úcdZhEM”^hFˆubh)”}”(hŒnapari-labels-overlap”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0napari-labels-overlap-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 92cc30e799e4ac89a112c3348b36bea3”h.Œ^https://conda.anaconda.org/conda-forge/noarch/napari-labels-overlap-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@4f9737bc42c008307330dff7ee0db1bc744525c8524ca832d57f333a553a359c”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œpython >=3.7”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ± ¡%hEME&hFˆubh)”}”(hŒr-genabel.data”h#Œ1.0.0”h%Œ	r351_1001”h'Méhhh(h)hŒ&r-genabel.data-1.0.0-r351_1001.tar.bz2”h+Œ 1d423a374f098f09526d19c4b87a9873”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-genabel.data-1.0.0-r351_1001.tar.bz2”h0Œ@e6762e3887a52e2a5abf182f4d5c18539d6a9824ba08ebd6fdec69eecdcf9f2f”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖú÷àW;dhEJ°/% hFˆubh)”}”(hŒnapari-blob-detection”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0napari-blob-detection-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ ba96b9adaaf966ce263aa63b073a390c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/napari-blob-detection-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@53301f460328e2feab4542d3a5cb628df679768f42bd48b3e5d0b70551f8ce71”h2NhNh3(Œmagicgui”Œnapari >=0.4.13”Œnumpy”Œpython >=3.8”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ©È;zJhEMÍ/hFˆubh)”}”(hŒpython-javapackages-cos7-x86_64”h#Œ3.4.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ;python-javapackages-cos7-x86_64-3.4.1-hdf0574f_1102.tar.bz2”h+Œ 508d11daac5ed5d4d4146f4dba5247d4”h.Œihttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-x86_64-3.4.1-hdf0574f_1102.tar.bz2”h0Œ@0353755dadf6d7c211a1a65fa5dea55f0264b3b030bbd4e0f6af9e5781febf21”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ9CÆ¨hEMû/hFˆubh)”}”(hŒsknw”h#Œ0.13”h%Œpy_1”h'Khhh(h)hŒsknw-0.13-py_1.tar.bz2”h+Œ a7d95c413a91d29adfe398f1a77b8448”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/sknw-0.13-py_1.tar.bz2”h0Œ@0637175ce87690c78dc34f6de45a05c7b4673a9b09e4f8dc11a3a1cec3b6fbe5”h2NhNh3(Œnetworkx >=1.11”Œnumba >=0.29”Œnumpy >=1.11”Œpython”t”h9h?h@ŒBSD 3-clause”hBŒBSD”hDGAÖÓrÄýôhEMÝhFˆubh)”}”(hŒr-ggplot.multistats”h#Œ1.0.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ/r-ggplot.multistats-1.0.0-r40h6115d3f_1.tar.bz2”h+Œ 4e4209491dda4200efde7f727128b4e8”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-ggplot.multistats-1.0.0-r40h6115d3f_1.tar.bz2”h0Œ@c991974abb86fe1b8c8d6d51a28685abc40fbaa14f95c5eb1a57b4c6f7e794c5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-hexbin”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×®BDÔÝ/hEM÷½hFˆubh)”}”(hŒlibxshmfence-devel-cos7-aarch64”h#Œ1.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9libxshmfence-devel-cos7-aarch64-1.2-h9d98e8f_1104.tar.bz2”h+Œ 01e8462f3292c6748c6095934944eb44”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-aarch64-1.2-h9d98e8f_1104.tar.bz2”h0Œ@dafccdecb444541e13de9b5af94fa28adfec3c5aa04a4a5713b6ec486b962006”h2NhNh3Œ&libxshmfence-cos7-aarch64 ==1.2 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|t2-hEM hFˆubh)”}”(hŒr-locfdr”h#Œ1.1_8”h%Œr40_1002”h'Mêhhh(h)hŒr-locfdr-1.1_8-r40_1002.tar.bz2”h+Œ fab4837b9766519c337bea36945109e7”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-locfdr-1.1_8-r40_1002.tar.bz2”h0Œ@f92a5984df0a5693ff8f3aa219e63c4498ecd5adc6fe97918f8b65a587e1be85”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¬"-hEJí hFˆubh)”}”(hŒtyping_utils”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ eb67e3cace64c66233e2d35949e20f92”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9e3758b620397f56fb709f796969de436d63b7117897159619b87938e1f78739”h2NhNh3Œpython >=3.6.1”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ.Þ¤mhEM6hFˆubh)”}”(hŒfsspec-reference-maker”h#Œ0.0.4”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ1fsspec-reference-maker-0.0.4-pyh6c4a22f_0.tar.bz2”h+Œ 9789c96bcdb721e12ec39dc19bf7026a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/fsspec-reference-maker-0.0.4-pyh6c4a22f_0.tar.bz2”h0Œ@fb5ec89c367c48664f5f1c58331aa250b268a87396f5b194265c7bb938477098”h2NhNh3(Œfsspec”Œnumpy”Œ	packaging”Œpython >=3.7”Œujson”Œxarray”Œzarr”t”h9h?h@ŒMIT”hBŒMIT”hDGAØZ~ÎÙhEMBhFˆubh)”}”(hŒjupyterthemes”h#Œ0.20.0”h%Œpy_1”h'Khhh(h)hŒ!jupyterthemes-0.20.0-py_1.tar.bz2”h+Œ 7cd864ced5005244dc132df70a7a39a2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/jupyterthemes-0.20.0-py_1.tar.bz2”h0Œ@e5a965e27f3dd5997112613fe53eaed9e6b7038f8bcb11472b3ee6efc66e9210”h2NhNh3(Œipython >=5.4.1”Œjupyter_core”Œlesscpy >=0.11.2”Œmatplotlib-base >=1.4.3”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×’PvöE¢hEJÛá` hFˆubh)”}”(hŒazure-mgmt-monitor”h#Œ0.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.azure-mgmt-monitor-0.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ 02efd73a821bcda84f97f3a363d067dd”h.Œ\https://conda.anaconda.org/conda-forge/noarch/azure-mgmt-monitor-0.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f1159ed8ffd3e891fec095d71a340e4c17c94907fbe276b43e8fae1285abf5e8”h2NhNh3(Œazure-common >=1.1,<2.0”Œmsrest >=0.5.0”Œmsrestazure >=0.4.32,<2.0.0”Œpython >3.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ø=ø“÷ÏhEJì hFˆubh)”}”(hŒnss-cos7-ppc64le”h#Œ3.44.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ-nss-cos7-ppc64le-3.44.0-ha826a6f_1103.tar.bz2”h+Œ 5dc53e552c76c008d446308c12371bf4”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nss-cos7-ppc64le-3.44.0-ha826a6f_1103.tar.bz2”h0Œ@6f97b0ec8b24dfe7b11c0796771ff8cf607f7bbf6b3d8eb438a7f3670304df38”h2NhNh3(Œ!nspr-cos7-ppc64le >=4.21.0 *_1103”Œ(nss-softokn-cos7-ppc64le >=3.44.0 *_1103”Œ%nss-util-cos7-ppc64le >=3.44.0 *_1103”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ4½|›¦hEJ­C hFˆubh)”}”(hŒr-benchmarkmedata”h#Œ1.0.4”h%Œr40h6115d3f_1”h'Khhh(h)hŒ-r-benchmarkmedata-1.0.4-r40h6115d3f_1.tar.bz2”h+Œ 5fe9edd89618f7dbcf873f19f46ca74f”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-benchmarkmedata-1.0.4-r40h6115d3f_1.tar.bz2”h0Œ@adf23d5b66676d3e0b8c3d72208eb3d6f05ebdf9b0484903d6756eb487c54bb4”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-tibble”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×«üñÛ#hEJý² hFˆubh)”}”(hŒthreddsclient”h#Œ0.4.2”h%Œpy_0”h'K hhh(h)hŒ threddsclient-0.4.2-py_0.tar.bz2”h+Œ 862e39c820bf332ebb4b544013d0d79e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/threddsclient-0.4.2-py_0.tar.bz2”h0Œ@edf4e61a53850d09836d5e6e517283b8443f960868d700ed15c260299cf7ed47”h2NhNh3(Œbeautifulsoup4”Œlxml”Œpython”Œrequests”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×uL_+hEM¤:hFˆubh)”}”(hŒ
r-dygraphs”h#Œ1.1.1.6”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ+r-dygraphs-1.1.1.6-r36h6115d3f_1003.tar.bz2”h+Œ 6b67161c7b9ce11b06b66c52f3efd586”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-dygraphs-1.1.1.6-r36h6115d3f_1003.tar.bz2”h0Œ@366aab1519f0e4e888a586b6edd6ed9cdb8ad95ae860b0f9cab1c107994ebb5c”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmltools >=0.3.5”Œr-htmlwidgets >=0.6”Œ
r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGA×«ÜsÝ?}hEJ¸> hFˆubh)”}”(hŒlibxrender-devel-cos7-ppc64le”h#Œ0.9.10”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9libxrender-devel-cos7-ppc64le-0.9.10-h9b0a68f_105.tar.bz2”h+Œ 852ecd77a7a9953b119ce8c9ea314d3d”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-ppc64le-0.9.10-h9b0a68f_105.tar.bz2”h0Œ@412f86343894b296a7005283f7baf9caca4ab96dca033f4cd31f2d4b1027c2d1”h2NhNh3Œ&libxrender-cos7-ppc64le ==0.9.10 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@µ’áHhEMí0hFˆubh)”}”(hŒr-ncdunnett”h#Œ1.1.0”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ*r-ncdunnett-1.1.0-r36h6115d3f_1001.tar.bz2”h+Œ 8847a346502d0474a422a7c8e3e8275c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-ncdunnett-1.1.0-r36h6115d3f_1001.tar.bz2”h0Œ@a5736ec8c117aef5d6b667799e1088b30210cd3d7b084817b7c6666531490d56”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÍ£ÙxÕhEMðèhFˆubh)”}”(hŒ
parse_type”h#Œ0.6.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%parse_type-0.6.0-pyhd8ed1ab_1.tar.bz2”h+Œ 67ce109517ee61c7f1b6336cbcda135d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/parse_type-0.6.0-pyhd8ed1ab_1.tar.bz2”h0Œ@f934481153fdbd7f9b2c638311e875e3b1aa4d0aaa25616ab5ea57df2732f277”h2NhNh3Œparse >=1.6”Œpython >=3.6”Œsix”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØzj«dZhEM1yhFˆubh)”}”(hŒlibsm-cos7-aarch64”h#Œ1.2.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libsm-cos7-aarch64-1.2.2-h9b0a68f_105.tar.bz2”h+Œ 7619d7955190cc7cf7628f5faf6d236c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libsm-cos7-aarch64-1.2.2-h9b0a68f_105.tar.bz2”h0Œ@fb6e0add5047047e22c32154ee13fa3e6bb9ed3c5f69378b006fad0031de75dd”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@WVhEMþhFˆubh)”}”(hŒr-widgetframe”h#Œ0.3.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-widgetframe-0.3.1-r40hc72bb7e_1.tar.bz2”h+Œ 3d6100e989e91990aeb3429427c0dcb1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-widgetframe-0.3.1-r40hc72bb7e_1.tar.bz2”h0Œ@01784f22bd8bb8f16ce7aaff1dc542b5410bebedece2884c424053bcdf35cfc2”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-htmlwidgets”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ú˜´›¦hEJÇ hFˆubh)”}”(hŒlibnl3-cos7-aarch64”h#Œ3.2.28”h%Œha826a6f_103”h'Kghhh(h)hŒ/libnl3-cos7-aarch64-3.2.28-ha826a6f_103.tar.bz2”h+Œ d8cb05cd040ada0d16c6c9496d554818”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-aarch64-3.2.28-ha826a6f_103.tar.bz2”h0Œ@ca73a83f8cb5b315965def4c9e969629e891f883554286191514844228358f03”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÈX•ÎÙhEJ ¿ hFˆubh)”}”(hŒr-pmcmr”h#Œ4.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-pmcmr-4.4-r41hc72bb7e_1.tar.bz2”h+Œ 82fe92dc471fa07a213bbc1281f3a8c4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pmcmr-4.4-r41hc72bb7e_1.tar.bz2”h0Œ@9a64fbbe400f457e18c57bcc53de329a3819cba0935b417552aebc7f0507e39a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÐ÷B©Û#hEJÇ hFˆubh)”}”(hŒ	r-rarpack”h#Œ0.11_0”h%Œr36_1002”h'Mêhhh(h)hŒ!r-rarpack-0.11_0-r36_1002.tar.bz2”h+Œ 85efa5d4f1b10e1fe377a4fab38b20d9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rarpack-0.11_0-r36_1002.tar.bz2”h0Œ@37bd21441376ae0113aed52f9e1956f2534f371a0106d976e30ff0b102a5f243”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-rspectra”†”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×L7ËW¾whEMî…hFˆubh)”}”(hŒr-unbalanced”h#Œ2.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-unbalanced-2.0-r36h6115d3f_0.tar.bz2”h+Œ d56929e510945de7a90e58710f09184d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-unbalanced-2.0-r36h6115d3f_0.tar.bz2”h0Œ@2ea2f3fcc3802178edc9325370b1e79e87e8931668e6b0d8ce78532c6974dc5b”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-doparallel”Œr-fnn”Œ	r-foreach”Œr-mlr”Œr-rann”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGA×´/ 
=hEJk hFˆubh)”}”(hŒcreoleparser”h#Œ0.7.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'creoleparser-0.7.5-pyhd8ed1ab_0.tar.bz2”h+Œ c34d1212cd7f1b2d0fc9c97bd0a67cda”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/creoleparser-0.7.5-pyhd8ed1ab_0.tar.bz2”h0Œ@f9ee1810a9fa028682177d353bf5fefdd14cfd73f1d42bb4fe16149787abf0a3”h2NhNh3Œgenshi >=0.4”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ,þŽÈ´hEMã‰hFˆubh)”}”(hŒ
r-esquisse”h#Œ1.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-esquisse-1.1.2-r41hc72bb7e_1.tar.bz2”h+Œ a577fd46f122d2cb6ad0468fafa855e8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-esquisse-1.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@662fea7fbb6e9047119ea28c5a1852e95e6d90c71243a7bf7d31445662afc10e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
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r-caroline”h#Œ0.9.0”h%Œr42ha770c72_0”h'K hhh(h)hŒ&r-caroline-0.9.0-r42ha770c72_0.tar.bz2”h+Œ 8a7110acb4a3e371ae1187b9b9d2e03a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-caroline-0.9.0-r42ha770c72_0.tar.bz2”h0Œ@7fa3bec1c5fb458b80e8dc2f91c12faa1353926c0b391f2a9925b68b9b8f2917”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÛè	3hEJhÄ hFˆubh)”}”(hŒnss-util-cos7-x86_64”h#Œ3.44.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1nss-util-cos7-x86_64-3.44.0-h9b0a68f_1105.tar.bz2”h+Œ 9403740f13495b88e0e07868e8e0e10c”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-x86_64-3.44.0-h9b0a68f_1105.tar.bz2”h0Œ@a671c2934f6c28374e97555716903b219c1f0cf09135719e596dd08e712417b3”h2NhNh3Œ nspr-cos7-x86_64 >=4.21.0 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@l9™šhEJKX hFˆubh)”}”(hŒ	sql-magic”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sql-magic-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 2f4a3b5ddc4520739820ab5ba697f135”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sql-magic-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@85bdaaab0c85325a7316ebe1a40df81352f6e2d6f923994254007d935221f7f7”h2NhNh3(Œ	findspark”Œipython”Œjupyter”Œpandas”Œpython >=3.6”Œsqlparse”Œ	traitlets”t”h9h?h@Œ
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r-jsonlite”Œr-leaflet >=2.0.1”Œr-sf >=0.5_2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬Ž€ô‹DhEJ% hFˆubh)”}”(hŒ	r-jcolors”h#Œ0.0.4”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ%r-jcolors-0.0.4-r41hc72bb7e_3.tar.bz2”h+Œ 60312679fc558ab958191063733cc6a3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-jcolors-0.0.4-r41hc72bb7e_3.tar.bz2”h0Œ@9ecdbf56eef4d0e5596f91ca77711adedd289cf2dfcb64505796c5385468cb46”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.0.0”Œr-scales”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ†ÄÄ9XhEJEð
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671bd021300a20c2348d20c3c93f4219”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paireddata-1.1.1-r42hc72bb7e_2.tar.bz2”h0Œ@b03ff79ee83e37266231bb5aec5564c15345c78eb329b260d9be81a0ea7c79cf”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-gld”Œ	r-lattice”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ>5k•hEJ	ò hFˆubh)”}”(hŒr-mcpan”h#Œ1.1_21”h%Œr35_1001”h'Méhhh(h)hŒr-mcpan-1.1_21-r35_1001.tar.bz2”h+Œ 9c757d53ff472ce6a6749104b0819781”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mcpan-1.1_21-r35_1001.tar.bz2”h0Œ@a9902efc9fabb9d00c214a23368471d77647e91c0d9599295b8216d57816323b”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-magic”Œ
r-mcmcpack”Œ
r-multcomp”Œ	r-mvtnorm”Œr-plyr”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Lr„ZhEJ)Ô hFˆubh)”}”(hŒr-rcolorbrewer”h#Œ1.1_3”h%Œr42h785f33e_1”h'Khhh(h)hŒ*r-rcolorbrewer-1.1_3-r42h785f33e_1.tar.bz2”h+Œ fa52cd7e8c99fff352794b4e699d0f76”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rcolorbrewer-1.1_3-r42h785f33e_1.tar.bz2”h0Œ@e45dfc3f773b0403d22f17a75b37d63db62eb3e78fa65ce93372aef1a8f44cd9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÐ-ý¡ë…hEJ7 hFˆubh)”}”(hŒlibxshmfence-devel-cos7-ppc64le”h#Œ1.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ9libxshmfence-devel-cos7-ppc64le-1.2-hdf0574f_1102.tar.bz2”h+Œ cdb19e6fc6cb42ac0997f9f4623369f4”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos7-ppc64le-1.2-hdf0574f_1102.tar.bz2”h0Œ@03ea2bb4a1759d995a5682cc86cf90e8e1b52ca277d617878e698c8698ce1992”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµôÌÍhEM@hFˆubh)”}”(hŒsphinx-panels”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(sphinx-panels-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6eec6480601f5d15babf9c3b3987f34a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/sphinx-panels-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c6043ff3f25905453f5c11d1620a4bc118a87a3eda02a3041f4ef98d8e6e6389”h2NhNh3Œdocutils”Œpython >=3.6”Œsphinx >=2,<5”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØGOœŸ;dhEJ¿' hFˆubh)”}”(hŒdensmap-learn”h#Œ0.2.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ(densmap-learn-0.2.2-pyhd3deb0d_0.tar.bz2”h+Œ bf7658083013bc8a6d718736799eb4e8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/densmap-learn-0.2.2-pyhd3deb0d_0.tar.bz2”h0Œ@077c41b9f3aec050c1ff6bdaa09eb1c82ac6e60a939561d6ffabad82477b43c8”h2NhNh3(Œnumba 0.48.0”Œnumpy >=1.13”Œpython”Œscikit-learn >=0.16”Œscipy >=0.19”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGA×þ†÷ƒ¥ãhEJ7ü hFˆubh)”}”(hŒr-vpc”h#Œ1.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-vpc-1.2.2-r42hc72bb7e_1.tar.bz2”h+Œ a3e92c1c866446dfa28ed3a8338e46e0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vpc-1.2.2-r42hc72bb7e_1.tar.bz2”h0Œ@4d07a00e550990720ad86b81d1852596893a2866918d87496458e70909e981fa”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-classint”Œr-dplyr”Œ	r-ggplot2”Œr-mass”Œr-readr”Œ	r-stringr”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑÌô1hEJÏ hFˆubh)”}”(hŒmesa-libegl-devel-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_1101”h'MMhhh(h)hŒ;mesa-libegl-devel-cos7-aarch64-18.3.4-h1795305_1101.tar.bz2”h+Œ fe166b9e394000a434c1d1a9cac97e06”h.Œihttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-aarch64-18.3.4-h1795305_1101.tar.bz2”h0Œ@c3aca42d38a517f73c815054ad6febad0df711b71dd2c408e8d55742c6f2eb6a”h2NhNh3Œmesa-libegl-cos7-aarch64 18.3.4”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅÉš~úhEM©JhFˆubh)”}”(hŒnumpngw”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"numpngw-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ c8f05b44be22c46203a33378f456634d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/numpngw-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1f26ee7f9aa658fd47914a9d0f0084de88085c60b33691bbd53eee1f4f69632b”h2NhNh3Œnumpy >=1.6.0”Œpython >=3.6”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÊˆÁë…hEM*^hFˆubh)”}”(hŒlibibcm-devel-cos6-x86_64”h#Œ1.0.5”h%Œh1795305_1101”h'MMhhh(h)hŒ5libibcm-devel-cos6-x86_64-1.0.5-h1795305_1101.tar.bz2”h+Œ c0a9f12db2ecc3d41f06c68c7b860c84”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libibcm-devel-cos6-x86_64-1.0.5-h1795305_1101.tar.bz2”h0Œ@ba194a08a8606e23ea7060321826909d750cd109701a8a0940a0100fbcd4dbe6”h2NhNh3Œlibibcm-cos6-x86_64 1.0.5”Œ"libibverbs-devel-cos6-x86_64 >=1.1”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÄÇÚ)XhEM;DhFˆubh)”}”(hŒr-fwdselect”h#Œ2.1.0”h%Œr42hc72bb7e_1005”h'Míhhh(h)hŒ*r-fwdselect-2.1.0-r42hc72bb7e_1005.tar.bz2”h+Œ ecf8c1d97f294b8316cc84c8cda3e3a4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-fwdselect-2.1.0-r42hc72bb7e_1005.tar.bz2”h0Œ@cde3dc385a8fdf3a481d80ec88d45e34434d8c18e651f7f732369a681053837b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-cvtools”Œr-mgcv”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒx]¿KÇhEJßå hFˆubh)”}”(hŒsuds”h#Œ1.1.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒsuds-1.1.2-pyhd8ed1ab_1.tar.bz2”h+Œ 40afbd405da1a84722aa3d26a5e295fc”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/suds-1.1.2-pyhd8ed1ab_1.tar.bz2”h0Œ@6101c91bf7c1c61631802f75916832c3eb2a678645f5f58049364a88818f2a21”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ¾ÐØ+hEJ=U hFˆubh)”}”(hŒr-cramer”h#Œ0.9_3”h%Œr36h6115d3f_2”h'Khhh(h)hŒ$r-cramer-0.9_3-r36h6115d3f_2.tar.bz2”h+Œ 5d0b960db47f9f905577624e6feca0dc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cramer-0.9_3-r36h6115d3f_2.tar.bz2”h0Œ@7925d30c6f565a713adca0261d2ce664f6f5fb6fa8ef8891ead023cc95774ee0”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-boot”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬Ô&hEM3¤hFˆubh)”}”(hŒr-xlsx”h#Œ0.6.5”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ"r-xlsx-0.6.5-r36hc72bb7e_0.tar.bz2”h+Œ e259fddde36c54d9e0df2b251c8232bd”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-xlsx-0.6.5-r36hc72bb7e_0.tar.bz2”h0Œ@c7429cd5869fa082189664798f7d8658b6744f0bfb9cf840bfcf9afaec4fc74a”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava”Œ
r-xlsxjars”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×ë#©íó¶hEJ˜> hFˆubh)”}”(hŒr-eikosograms”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-eikosograms-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 268fae2d33085c843295618323f52022”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-eikosograms-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@da96a43de8ad6d5c5dc12ff42a7f4d416ec8ef9d7a3bf641ac7e930a4e4b3781”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plyr”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÂ…àŠ=qhEJˆ> hFˆubh)”}”(hŒugrid-checks”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'ugrid-checks-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1fa15f4a94b2ca92216229a8e847071f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ugrid-checks-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cea093ada5e8bc924a8f8d76f2cbeeaaede5db23ea49994a7b27d5d76f5f6777”h2NhNh3Œnetcdf4”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØªËÊÁhEM‹|hFˆubh)”}”(hŒr-dot”h#Œ0.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒr-dot-0.1-r35h6115d3f_0.tar.bz2”h+Œ c4dc017f5e088d034d45022bf2eba818”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-dot-0.1-r35h6115d3f_0.tar.bz2”h0Œ@0ebf191c9c20c9312ff03ca2e783375473ed9b239c3b13949e15d93e53f1be4c”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-v8 >=1.0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×®Ã·H  hEJÃÊ hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy37h1234567_6”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py37h1234567_6.tar.bz2”h+Œ 72342aa5ced920ba86696e6ad9ecb1ae”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py37h1234567_6.tar.bz2”h0Œ@ac5d49defad33486b441464ad00dd542496a27d7ba75a2bbfe8b535637ddf6c4”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.16.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ“æn˜hEJ hFˆubh)”}”(hŒr-demerelate”h#Œ0.9_3”h%Œr40_1003”h'Mëhhh(h)hŒ#r-demerelate-0.9_3-r40_1003.tar.bz2”h+Œ dc36b020f270323d6d4fc5ac1f12e240”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-demerelate-0.9_3-r40_1003.tar.bz2”h0Œ@159b72a1d3463ae92542a2e943eafe5735e13d299f05b99cb92761660270912c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-fts”Œr-mlogit”Œ	r-sfsmisc”Œr-vegan”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ä'™Û#hEJ} hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r36h6115d3f_1.tar.bz2”h+Œ ca9fa477191afb9268bf8a5ac3bfc6a9”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r36h6115d3f_1.tar.bz2”h0Œ@229eaa9f8fce0b44bd2f065f0aebea905930833a297654f0a8546b0b63c9c04d”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×K°ÉcSøhEJxõ hFˆubh)”}”(hŒr-rclipboard”h#Œ0.1.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-rclipboard-0.1.6-r41hc72bb7e_0.tar.bz2”h+Œ d3732fb956863bb832646f49e0395640”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rclipboard-0.1.6-r41hc72bb7e_0.tar.bz2”h0Œ@64c9bba189915ac0800cc07921cc120d799234aa19c566886a5583a81d99efd6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ»èFÊ\hEM<ehFˆubh)”}”(hŒr-tsne”h#Œ0.1_3.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ$r-tsne-0.1_3.1-r41ha770c72_1.tar.bz2”h+Œ af8a206f98b70ecb6bc6f0f9e5835063”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tsne-0.1_3.1-r41ha770c72_1.tar.bz2”h0Œ@d0c13f6c3637163b22ed6490a1f22fa3b4a239f16bc6b941c9a1df46c91f40f3”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØÑö<ohEM±œhFˆubh)”}”(hŒnss-cos6-x86_64”h#Œ3.36.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ+nss-cos6-x86_64-3.36.0-h9b0a68f_105.tar.bz2”h+Œ 98a25780b5c1051b1eaf4bfbefa1897f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/nss-cos6-x86_64-3.36.0-h9b0a68f_105.tar.bz2”h0Œ@e0699bfd61850683392d00fa6d7589ce32c25c177bbb9db28ef70f7f8bd78cc4”h2NhNh3Œnspr-cos6-x86_64 >=4.19.0 *_105”Œ&nss-softokn-cos6-x86_64 >=3.14.3 *_105”Œ#nss-util-cos6-x86_64 >=3.36.0 *_105”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@[»mó¶hEJë2 hFˆubh)”}”(hŒlibxinerama-cos6-x86_64”h#Œ1.1.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libxinerama-cos6-x86_64-1.1.3-h9d98e8f_104.tar.bz2”h+Œ db7070f20093a1557f368ca7c569ac2a”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxinerama-cos6-x86_64-1.1.3-h9d98e8f_104.tar.bz2”h0Œ@f0a1b3c2add07084e68dc190e289d885e59457e06f3c04d02b4462eb0787681e”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{Ç‰XhEMý$hFˆubh)”}”(hŒr-mlapi”h#Œ0.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-mlapi-0.1.1-r40hc72bb7e_0.tar.bz2”h+Œ ef1733963880251d8d1d73f589a03545”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mlapi-0.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@27e05fb4f2e9479d20967435d2a8c027c8a157cd13e0efc562944d837ba1b0d2”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrix >=1.1”Œr-r6 >=2.2.1”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ™aVfhEJÉŒ hFˆubh)”}”(hŒpyusid”h#Œ0.0.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pyusid-0.0.10-pyhd8ed1ab_0.tar.bz2”h+Œ 6bcd43ab64cac9006dc5df7d208fcd1b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pyusid-0.0.10-pyhd8ed1ab_0.tar.bz2”h0Œ@95f270c8cd69a9514c49c935e79f51c17eef10959e0576bce5a8c5ce20492180”h2NhNh3(Œdask >=0.10”Œh5py >=2.6.0”Œipython”Œipywidgets >=5.2.2”Œjoblib >=0.11.0”Œmatplotlib-base >=2.0.0”Œnumpy >=1.10”Œpillow”Œpsutil”Œ
python >=3”Œsidpy >=0.0.1”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ²Nq‡hEM#ÐhFˆubh)”}”(hŒr-funr”h#Œ0.3.2”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ%r-funr-0.3.2-r40hc72bb7e_1003.tar.bz2”h+Œ 7f3a5c3fa00efeab1c957455e40aa5c2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-funr-0.3.2-r40hc72bb7e_1003.tar.bz2”h0Œ@b93aca3643a99ca5862de108910fae21864fc6cc0ea366cf14d2edc88cacbc87”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØsRãÊáHhEMò’hFˆubh)”}”(hŒlsdtopytools”h#Œ0.0.4.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)lsdtopytools-0.0.4.6-pyhd8ed1ab_0.tar.bz2”h+Œ c366852a80ab7ea8e04d5f4264008ff6”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/lsdtopytools-0.0.4.6-pyhd8ed1ab_0.tar.bz2”h0Œ@a18634f635f6dc92a751a69fcd8785cdc06266439390085bbb6e6c2e3dd742c9”h2NhNh3(Œclick >=6.0”Œgdal”Œ	geopandas”Œlsdtt-xtensor-python”Œmatplotlib-base”Œnumba”Œnumpy”Œpandas”Œpytables”Œpython >=3.7”Œrasterio”Œscipy”t”h9h?h@Œ	Unlicense”hDGAØÕbót¼hEJà hFˆubh)”}”(hŒlibx11-cos7-aarch64”h#Œ1.6.7”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libx11-cos7-aarch64-1.6.7-h9d98e8f_1104.tar.bz2”h+Œ c74d7947133b5b1354bbd9c6d4955fd0”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libx11-cos7-aarch64-1.6.7-h9d98e8f_1104.tar.bz2”h0Œ@16cb27aeb55f0ee730a455a6f6ffa370353d742e116088d39236fbe60077a2ed”h2NhNh3Œ)libx11-common-cos7-aarch64 >=1.6.7 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ÃhEJŒ… hFˆubh)”}”(hŒsniffio”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sniffio-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ dd6cbc539e74cb1f430efbd4575b9303”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a3fd30754c20ddb28b777db38345ea00d958f46701f0decd6291a81c0f4eee78”h2NhNh3Œpython >=3.7”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÄ9hÔþhEM8hFˆubh)”}”(hŒ
aiida-vasp”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%aiida-vasp-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ c0402e0f71eb8e38d9db9092ee019073”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/aiida-vasp-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@3fd596ddc0468301dbb24c7d99fac5f6a0c64077babe5b9ab5f0b26077d70f47”h2NhNh3(Œ/aiida-core.atomic_tools >=1.2.1,!=1.4.0,!=1.4.1”Œlxml”Œ	packaging”Œparsevasp >=2.0.1”Œpymatgen <=2020.12.3”Œpython >=3.6”Œsubprocess32”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶¸Eê~úhEJ€ëŒ hFˆubh)”}”(hŒ
vectormath”h#Œ0.2.2”h%Œpy_0”h'K hhh(h)hŒvectormath-0.2.2-py_0.tar.bz2”h+Œ 7a6395b244b183e9e55e606e3d68e83b”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2”h0Œ@891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402”h2NhNh3Œnumpy >=1.7”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×*c”,Ý/hEMð)hFˆubh)”}”(hŒsagemaker_mxnet_container”h#Œ4.3.0”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ4sagemaker_mxnet_container-4.3.0-pyhd3deb0d_1.tar.bz2”h+Œ 9ef794884ab8205e893491055816c1bc”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/sagemaker_mxnet_container-4.3.0-pyhd3deb0d_1.tar.bz2”h0Œ@5cc56aed372c454d1311d46e97907b84949a816427ef33a8cb5226509e0c769f”h2NhNh3Œpython”Œretrying”Œsagemaker_containers”‡”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGAØ#“ïKÇhEMk3hFˆubh)”}”(hŒnss-util-cos7-aarch64”h#Œ3.44.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ1nss-util-cos7-aarch64-3.44.0-h9d98e8f_104.tar.bz2”h+Œ 480e21a000b506e64a082d8f09f29826”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-aarch64-3.44.0-h9d98e8f_104.tar.bz2”h0Œ@5969229ea6bec52593b31a0fd1151bc0876afa7fe2c8d0a55d1cc856c0c182e7”h2NhNh3Œ nspr-cos7-aarch64 >=4.21.0 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É{¯ß;hEJÄN hFˆubh)”}”(hŒbgcargo”h#Œ0.2.8”h%Œpy_0”h'K hhh(h)hŒbgcargo-0.2.8-py_0.tar.bz2”h+Œ 5f91f3f0673da2ee6edc6ef051083094”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/bgcargo-0.2.8-py_0.tar.bz2”h0Œ@366bfc18c65afb0335db91771d08b637fc355bc02398e9f65ed6fc65c8f58997”h2NhNh3(Œcmocean”Œgsw”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpandas”Œpython >=3.4”Œscipy”Œseaborn”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Û‚»A7LhEJþ-åhFˆubh)”}”(hŒr-bindr”h#Œ0.1.1”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ&r-bindr-0.1.1-r40hc72bb7e_1003.tar.bz2”h+Œ 7f020f5bcb7d054e5b951e52c15ce878”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-bindr-0.1.1-r40hc72bb7e_1003.tar.bz2”h0Œ@fe8ce45893309499a6c8d12e5be24748cb34b5182261b8762c70e6e8b637117c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÂÐÔþhEM‡WhFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr41hc72bb7e_4”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r41hc72bb7e_4.tar.bz2”h+Œ 03509dfcd8e88d8b1c9939a4fff0b50b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r41hc72bb7e_4.tar.bz2”h0Œ@9311a2f788932515f79f4a44296a93fb47abcd00c51526313988f968aca49eae”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ.[±©ühEJ…û hFˆubh)”}”(hŒ	r-polynom”h#Œ1.4_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-polynom-1.4_1-r41hc72bb7e_1.tar.bz2”h+Œ 05ce5a21b1db267023dfa7a551de876d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-polynom-1.4_1-r41hc72bb7e_1.tar.bz2”h0Œ@127cbdececd77f31f9c8ddb767764c5d04986dc876a4171cf9a9ee03563ba9fb”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐPŠixÕhEJ?Ú hFˆubh)”}”(hŒr-rmisc”h#Œ1.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rmisc-1.5.1-r41hc72bb7e_0.tar.bz2”h+Œ c5498e03e2200f618558c3a15c505db6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rmisc-1.5.1-r41hc72bb7e_0.tar.bz2”h0Œ@2b89c16da1efcfb1c466fdc4eb479d5c7883cb47b7580e14614145e0a49cda7a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-lattice”Œr-plyr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØœ‡‹O|îhEJ2 hFˆubh)”}”(hŒe13tools”h#Œ0.9.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#e13tools-0.9.6-pyhd8ed1ab_0.tar.bz2”h+Œ 02d72b207f09555c4de4229581157a6f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/e13tools-0.9.6-pyhd8ed1ab_0.tar.bz2”h0Œ@39e8e625ab7890bed267f49a90f6ac8c891e0d21812f197393be8cef4d33363c”h2NhNh3Œmatplotlib-base >=2.2.4”Œnumpy >=1.16.0”Œpython >=3.5,<4.0”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¥”9XhEM“‘hFˆubh)”}”(hŒ	descartes”h#Œ1.1.0”h%Œpy_4”h'Khhh(h)hŒdescartes-1.1.0-py_4.tar.bz2”h+Œ 32fa3526c15250ccf353f1ce905f50b3”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-py_4.tar.bz2”h0Œ@b0b73c09a69e775f50541861622ea54e8342ae7c4b0ca7713967acb902263c74”h2NhNh3Œmatplotlib-base”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×i3ùÎ—hEMèhFˆubh)”}”(hŒr-optimparallel”h#Œ1.0_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-optimparallel-1.0_2-r40hc72bb7e_0.tar.bz2”h+Œ f4c1b6a693599facf9206cc483d8fffd”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-optimparallel-1.0_2-r40hc72bb7e_0.tar.bz2”h0Œ@b7eae829054cf6c3e586cbb1f3388d70afcd8c5b988e71acf8c8bfda31bc3547”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÄgËìí‘hEJ~S hFˆubh)”}”(hŒpython-gnupg”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'python-gnupg-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ dac4b2585494243e23deae2efe058165”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/python-gnupg-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d9217ecfa4de3f9543b62e242f12eda0591e9df36f22a2980aeb6ea3221a1639”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÁ¬í~$ÝhEM×ShFˆubh)”}”(hŒr-europepmc”h#Œ0.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-europepmc-0.4.1-r41hc72bb7e_0.tar.bz2”h+Œ 2b212fa57a2d37e34f0fa41592ac15df”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-europepmc-0.4.1-r41hc72bb7e_0.tar.bz2”h0Œ@4183f588a220733acb9f14cd5ed1e3b397421fd11d23d98acfb55b4e4ab231d9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-plyr”Œ
r-progress”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œ
r-urltools”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØLÀ¥/hEJN– hFˆubh)”}”(hŒr-scatterd3”h#Œ1.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-scatterd3-1.0.1-r40hc72bb7e_0.tar.bz2”h+Œ a892b6c60d5f1cb4b1ac3ea0f13376c1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-scatterd3-1.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@ed4df7e118d855dadff2c35a0988198af00daa867ab49e15b6b4d3d9e657b331”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œ	r-ellipse”Œr-htmlwidgets”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØWcPCçmhEJ8z hFˆubh)”}”(hŒlibpng-devel-cos6-x86_64”h#Œ1.2.49”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libpng-devel-cos6-x86_64-1.2.49-h9d98e8f_104.tar.bz2”h+Œ b0bec3255934b78a0e756d95a88294f3”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos6-x86_64-1.2.49-h9d98e8f_104.tar.bz2”h0Œ@c568da147213eddfeac0ab97ec389ee442116348a8edcccd27ffca601e067162”h2NhNh3Œ!libpng-cos6-x86_64 ==1.2.49 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@Œzlib”hBŒOther”hDGA×Ézë=‘hhEJœ hFˆubh)”}”(hŒlibxinerama-cos7-ppc64le”h#Œ1.1.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libxinerama-cos7-ppc64le-1.1.3-h9b0a68f_105.tar.bz2”h+Œ 4a4cb43bf07dcd87a921ceaad6234487”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-ppc64le-1.1.3-h9b0a68f_105.tar.bz2”h0Œ@eeb1b40790668fecb6a051b8e8e8d81f41f30c088cb4f3adbe15e7ffdd10e0dd”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ç®éyhEM¥,hFˆubh)”}”(hŒr-dichromat”h#Œ2.0_0.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ)r-dichromat-2.0_0.1-r40ha770c72_0.tar.bz2”h+Œ 814fb8babeca3a5b1868f2e110050e5a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dichromat-2.0_0.1-r40ha770c72_0.tar.bz2”h0Œ@6c3536fd9d42062f44c8c5622b915f956b1d7d9e3e27be2f543df39f6433c456”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØœ‡	XhEJ÷~ hFˆubh)”}”(hŒintake-streamz”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)intake-streamz-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ f91e86adc7a96dc24da1ec8a9ec8adf0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/intake-streamz-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d1f940866817858bc5cc772789847db0823f5638f32505f565b2a8bc4c5e9736”h2NhNh3Œintake”Œpython >=3.6”Œstreamz”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ~>]ó¶hEM€hFˆubh)”}”(hŒ
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setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×m±z’-hEMo4hFˆubh)”}”(hŒwebkitgtk-devel-cos6-x86_64”h#Œ1.4.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6webkitgtk-devel-cos6-x86_64-1.4.3-h9b0a68f_105.tar.bz2”h+Œ 1e112d5c5ad992a31a0f902a9368e4ba”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/webkitgtk-devel-cos6-x86_64-1.4.3-h9b0a68f_105.tar.bz2”h0Œ@d1223d9e44dfad29f2de9b1294452e23d0b42e9c0e5286b44293c87cbb67d65d”h2NhNh3Œ#webkitgtk-cos6-x86_64 ==1.4.3 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGAØ@YRÅp¤hEJ$ hFˆubh)”}”(hŒr-glmpca”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-glmpca-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 79b16d3011746cc2f83ab4cc85afe9a7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-glmpca-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@e513410bc4eb391016f7c444dd22420d19dd0b336554d30e412e325f25cc0ce5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÒpz¦ffhEJ¸Ø hFˆubh)”}”(hŒr-gclus”h#Œ1.3.2”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ#r-gclus-1.3.2-r40hc72bb7e_2.tar.bz2”h+Œ ebf6b76f09b4d6ff252cdfb48014d030”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gclus-1.3.2-r40hc72bb7e_2.tar.bz2”h0Œ@adc724ae77493335eede7f6159349644a801cc597f5ad58055898c527f6f74ab”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*ì-ãThEJ©É hFˆubh)”}”(hŒmkdocs-bootswatch”h#Œ1.1”h%Œpy_0”h'K hhh(h)hŒ"mkdocs-bootswatch-1.1-py_0.tar.bz2”h+Œ cca508680ca46d4a86b0c77148d112d9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mkdocs-bootswatch-1.1-py_0.tar.bz2”h0Œ@2a8033efcfab4c784ff31657c70bc631f15fd7a3d17eb2906d9aa3aa851c583b”h2NhNh3Œmkdocs >=1.1”Œpython >=3.5”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×”þ	ùûçhEJ hFˆubh)”}”(hŒmvlearn”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"mvlearn-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ fcf87a85316f3d477f4d3141a20a5999”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mvlearn-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ced404a69daf41ffa0976e33d5d6016c0c1dddaafef391ef1038ede26dd62f77”h2NhNh3(Œjoblib >=0.11”Œmatplotlib-base >=3.0.0”Œnumpy >=1.17.0”Œpython >=3.6”Œscikit-learn >=0.19.1”Œscipy >=1.5.0”Œseaborn >=0.9.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ“0•OßhEJÖ hFˆubh)”}”(hŒ	r-ymlthis”h#Œ0.1.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-ymlthis-0.1.7-r41hc72bb7e_0.tar.bz2”h+Œ 898c51698d84336b18d62b641fb85cf7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ymlthis-0.1.7-r41hc72bb7e_0.tar.bz2”h0Œ@7da57553f87191afcf04f49df618fe953e1040a99cf4f4361f72e594bed9ca5a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-fs”Œr-glue”Œ
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setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ4¦¸hEMR*hFˆubh)”}”(hŒlibxinerama-devel-cos6-x86_64”h#Œ1.1.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ8libxinerama-devel-cos6-x86_64-1.1.3-h9d98e8f_104.tar.bz2”h+Œ 53f80bdde96a038095c92e63b61fc4dc”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos6-x86_64-1.1.3-h9d98e8f_104.tar.bz2”h0Œ@d35318e55f866821d2abfc2e31615c2a23dd1111beb96b9570acc85aff8074a5”h2NhNh3Œ%libxinerama-cos6-x86_64 ==1.1.3 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ËÂÀƒhEME'hFˆubh)”}”(hŒ
startables”h#Œ0.8.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%startables-0.8.5-pyhd8ed1ab_0.tar.bz2”h+Œ d8c7ba92b10aacb54801eb23e90a269c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/startables-0.8.5-pyhd8ed1ab_0.tar.bz2”h0Œ@df6d789a7b92bbe57c41b4396ad2cbdc6521ab0105a8d7f383e518a34138216f”h2NhNh3(Œnumpy”Œopenpyxl”Œpandas”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×÷ äÉ‡hEMHƒhFˆubh)”}”(hŒ
pybaobabdt”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pybaobabdt-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 32e2a466bf081cbbfd2eef3fd13c0020”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pybaobabdt-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@041765a6feb836ededa33a12e8e79bcb701280c3eac859539a9277a737f72b1d”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas”Œ
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ‡ßûçhEM
øhFˆubh)”}”(hŒr-operator.tools”h#Œ1.6.3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ/r-operator.tools-1.6.3-r41hc72bb7e_1003.tar.bz2”h+Œ 12ec77aea617b4bc21304e1fd9d677ad”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-operator.tools-1.6.3-r41hc72bb7e_1003.tar.bz2”h0Œ@81e27292b4dbba9b09b3cdb727f10134a1e60bef09c4ec7d424fc5bb935150ea”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*âˆtjhEJÖ  hFˆubh)”}”(hŒr-spacyr”h#Œ1.2.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ$r-spacyr-1.2.1-r35h6115d3f_0.tar.bz2”h+Œ f648cda7fab00976866059f9c66cd115”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spacyr-1.2.1-r35h6115d3f_0.tar.bz2”h0Œ@7c2aa4321bd54e117b1fb49e63983f58cda92242027ea159cab892281543110e”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-data.table”Œr-reticulate >=1.6”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×˜x‚˜ÔþhEJÇ– hFˆubh)”}”(hŒmesa-libgl-cos6-x86_64”h#Œ11.0.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ3mesa-libgl-cos6-x86_64-11.0.7-ha826a6f_1103.tar.bz2”h+Œ de26771656106b94eb5c031aa8bc4626”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos6-x86_64-11.0.7-ha826a6f_1103.tar.bz2”h0Œ@314bfb8303550ad1b3c12b7040b153630edcf5019edc6c4c556d043b4121cdff”h2NhNh3(Œ"libdrm-cos6-x86_64 >=2.4.24 *_1103”Œlibx11-cos6-x86_64 >1.6 *_1103”Œ,mesa-dri-drivers-cos6-x86_64 ==11.0.7 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3Kp¤hEJÒÐ hFˆubh)”}”(hŒr-hiver”h#Œ0.3.63”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-hiver-0.3.63-r41hc72bb7e_1.tar.bz2”h+Œ 5f348c85d3398a482b32b11ab88c748c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-hiver-0.3.63-r41hc72bb7e_1.tar.bz2”h0Œ@90b69b8ac11f04fe993d867fddc6beecb7a0afe843f3c3c96d539a2031f2fcd8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-jpeg”Œr-plyr”Œr-png”Œr-rcolorbrewer”Œr-rgl”Œr-tkrgl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒinG;dhEJ!	. hFˆubh)”}”(hŒpydatamail_google”h#Œ0.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,pydatamail_google-0.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ 97760f18a4309ea7522704bdeaff1a72”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/pydatamail_google-0.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@4d85e736858800b859703e42d709ded90cef60f9d52985a33a93464d5de1be73”h2NhNh3(Œ!google-api-python-client >=2.52.0”Œgoogle-auth >=2.9.0”Œgoogle-auth-oauthlib >=0.5.2”Œmatplotlib-base >=3.5.2”Œnumpy >=1.23.0”Œpandas >=1.4.3”Œpydatamail >=0.0.9”Œpython >=3.6”Œsqlalchemy >=1.4.39”Œtqdm >=4.64.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ²/Ë"ÑhEMKJhFˆubh)”}”(hŒmrcz”h#Œ0.5.6”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒmrcz-0.5.6-pyh9f0ad1d_1.tar.bz2”h+Œ e765f76e862ba1aac70f4a106901a291”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/mrcz-0.5.6-pyh9f0ad1d_1.tar.bz2”h0Œ@be16b58b6cb487bbb2acc7d7aa334e50a5e041a14796fc77b8101cf0d0e4a886”h2NhNh3Œnumpy”Œpython”Œpython-blosc >=1.4”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¸Irïl‹hEMàšhFˆubh)”}”(hŒ	r-effsize”h#Œ0.8.1”h%Œr40h142f84f_0”h'K hhh(h)hŒ%r-effsize-0.8.1-r40h142f84f_0.tar.bz2”h+Œ 7d56efbedb867f48c4008040db94e3d9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-effsize-0.8.1-r40h142f84f_0.tar.bz2”h0Œ@176750f22d6f09baef2d09f31f08a8e895b94bfcec2fd4f0553cdd432af7430a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×ÞÁŽq&éhEJÆ- hFˆubh)”}”(hŒr-genius”h#Œ2.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-genius-2.2.3-r41hc72bb7e_0.tar.bz2”h+Œ 0cc31c0819b38e61fc3410e121ba8350”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-genius-2.2.3-r41hc72bb7e_0.tar.bz2”•      h0Œ@1b69ce5c8454d549c52004afbb811b25a1aad260061ff47938a2162aa5b32910”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.0”Œr-purrr”Œr-readr”Œ
r-reshape2”Œr-rvest”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œ
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hc42de5b_0”h'K hhh(h)hŒ rb-yell-2.2.2-hc42de5b_0.tar.bz2”h+Œ d53e952b29dadf92cd2033472e40f11a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-yell-2.2.2-hc42de5b_0.tar.bz2”h0Œ@ebbd978dde62e6ba7f39484d05f9be41d8dad591c0843ce139cdae7285919c0d”h2NhNh3Œruby >=2.6.5,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×’ôGìí‘hEMç¼hFˆubh)”}”(hŒr-ccremover”h#Œ1.0.4”h%Œr35_1001”h'Méhhh(h)hŒ"r-ccremover-1.0.4-r35_1001.tar.bz2”h+Œ 5dd163e2d2ffcda691cd08c670763bb1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-ccremover-1.0.4-r35_1001.tar.bz2”h0Œ@cf4bee607ec86fc80901ce1ea5335b66b2d33f736967cf813ccbf8c9dc332ec1”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M&ŒS33hEJBÉ" hFˆubh)”}”(hŒr-rmdformats”h#Œ1.0.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-rmdformats-1.0.4-r41hc72bb7e_1.tar.bz2”h+Œ 816e2a0c5cf11a67b219516bed06c020”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rmdformats-1.0.4-r41hc72bb7e_1.tar.bz2”h0Œ@f66b93fcc00f868e1c93186ee7dd9b0dc0f705cce8c9f28a4e0b2346ad2ba16b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-bookdown”Œr-htmltools”Œr-knitr”Œr-rmarkdown”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒbq7LhEJšè hFˆubh)”}”(hŒr-linselect”h#Œ1.1.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ'r-linselect-1.1.3-r41hc72bb7e_2.tar.bz2”h+Œ 29d56d98a69e5805d1f78ca08c479503”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-linselect-1.1.3-r41hc72bb7e_2.tar.bz2”h0Œ@eb4cba9486beedf1070b8b0c2ca516b92c955c924992947690b1ba8fb458d04f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-elasticnet”Œr-gtools”Œr-mass”Œ	r-mvtnorm”Œr-pls”Œr-randomforest”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ¢Vä“hEJP= hFˆubh)”}”(hŒsysroot-cos7-s390x”h#Œ2.17”h%Œh406d98a_13”h'Khhh(h)hŒ+sysroot-cos7-s390x-2.17-h406d98a_13.tar.bz2”h+Œ 3e3ecb48f187a8e9469db8a44acd014e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-s390x-2.17-h406d98a_13.tar.bz2”h0Œ@6fb7cc6564c9ca18562063254fe31a3563a38ef9357ac403a8de8a52895a8315”h2NhNh3Œsysroot_linux-s390x 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ_çF¸RhEMl9hFˆubh)”}”(hŒ
r-hydrotsm”h#Œ0.6_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-hydrotsm-0.6_0-r42hc72bb7e_1.tar.bz2”h+Œ d05153a21aec942f0e4fa9056416b33b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hydrotsm-0.6_0-r42hc72bb7e_1.tar.bz2”h0Œ@cf98713beef09c9ebbe35e2881ea67cd74cb78ac3401255ef8af2dcf77e2423c”h2NhNh3(Œ	r-automap”Œr-base >=4.2,<4.3.0a0”Œr-e1071”Œr-gstat”Œ	r-lattice”Œ
r-maptools”Œr-sp >=1.1_0”Œr-xts >=0.9_7”Œr-zoo >=1.7_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑŽI/ÎÙhEJ;„ hFˆubh)”}”(hŒr-shinymodels”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-shinymodels-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ fb738392491ec4fb9c010d8b38752814”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinymodels-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@a5ef9c4b5ac1d631fc146c604291083fc4d920404a3854b30e81475f27aee8fd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-dt”Œr-generics >=0.1.0”Œ	r-ggplot2”Œr-glue”Œr-htmltools”Œ
r-magrittr”Œ	r-parsnip”Œr-plotly”Œr-purrr”Œr-rlang”Œr-scales”Œr-shiny”Œr-shinydashboard”Œr-tidyr”Œr-tidyselect”Œr-tune”Œr-yardstick”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ+äL(öhEJËñ
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r-survival”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×žuŠ»•hEJÂ‡ hFˆubh)”}”(hŒr-combinepvalue”h#Œ1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-combinepvalue-1.0-r40hc72bb7e_0.tar.bz2”h+Œ 2469c17a6a303accf45548c6fe2bb9d8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinepvalue-1.0-r40hc72bb7e_0.tar.bz2”h0Œ@b78a1fac97142246cf9d9587191da2109786c9a8e72353b5bcbb0017136d4dfb”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ.ÕÅáhshEMyhFˆubh)”}”(hŒr-censusapi”h#Œ0.8.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-censusapi-0.8.0-r41hc72bb7e_1.tar.bz2”h+Œ 89424819c1f64ce3c39f6f7c8450f77d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-censusapi-0.8.0-r41hc72bb7e_1.tar.bz2”h0Œ@37d84d95ce4f26ceea6948297b3abb3349daff18b61f582458a779fab3cd419b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒœJ|“hEM¼ýhFˆubh)”}”(hŒr-rmcfs”h#Œ1.3.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-rmcfs-1.3.5-r42hc72bb7e_1.tar.bz2”h+Œ c5125124258cefdbad00b4cfa70a8a03”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rmcfs-1.3.5-r42hc72bb7e_1.tar.bz2”h0Œ@bbd664dcd05b0e1d382b536f3485899282e77bd681f8490e3a5f1e93bd877ef0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.0.1”Œr-dplyr”Œ	r-ggplot2”Œr-gridextra”Œr-igraph”Œ
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r-gridbase”h#Œ0.4_7”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ)r-gridbase-0.4_7-r35h6115d3f_1002.tar.bz2”h+Œ e0f4870b84645d306e4a756301fd1021”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r35h6115d3f_1002.tar.bz2”h0Œ@d21859135733117a9a2e9827b5f59751a048649174226bf191874ff62bddb08b”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×K°¶Éë…hEJÖ¤ hFˆubh)”}”(hŒ	rb-minima”h#Œ2.5.1”h%Œ
hd4c1694_0”h'K hhh(h)hŒ"rb-minima-2.5.1-hd4c1694_0.tar.bz2”h+Œ 5a44236e89fa6af5ef43761327f9bf22”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-minima-2.5.1-hd4c1694_0.tar.bz2”h0Œ@d2b7313fbbc4e22a8e733d223644385941bf6a4d0c24a2b2748e6f020b060707”h2NhNh3(Œrb-jekyll >=3.5,<5.0”Œrb-jekyll-feed >=0.9,<1”Œrb-jekyll-seo-tag >=2.1,<3”Œruby >=2.5.5,<2.6.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ZH—TýôhEM¾»hFˆubh)”}”(hŒcopy-jdk-configs-cos7-ppc64le”h#Œ3.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6copy-jdk-configs-cos7-ppc64le-3.3-h9b0a68f_105.tar.bz2”h+Œ 8459a85a78084a7570708734922e876e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-ppc64le-3.3-h9b0a68f_105.tar.bz2”h0Œ@a0ed89236778acb6a55950725292259a5b3980fba39eeb3232b680be52596652”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@ˆ×
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r-jsonlite”Œ	r-pbapply”Œ
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Apache-2.0”hBŒAPACHE”hDGAØXã"\hEM’[hFˆubh)”}”(hŒchxtools”h#Œ3.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#chxtools-3.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 637be27a6baa10ba1de15d4c971ee59c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/chxtools-3.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@11bb9b845ee5c3501bf6e9d21d8d02c079697c24aa74399fce9b0074324d8057”h2NhNh3(Œ
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=hEJô¦a hFˆubh)”}”(hŒjupyterlab_robotmode”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/jupyterlab_robotmode-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 081f1505925bd5ff080864f4281c28a6”h.Œ]https://conda.anaconda.org/conda-forge/noarch/jupyterlab_robotmode-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@54f49b2d52f05013f7415164efaa0e5b30aeeadcc096877f9339bcbc1e7b180e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØPƒhEMÓChFˆubh)”}”(hŒ	r-nortest”h#Œ1.0_4”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ(r-nortest-1.0_4-r35h6115d3f_1002.tar.bz2”h+Œ 5499468ec0381de3fe2686055a14c943”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-nortest-1.0_4-r35h6115d3f_1002.tar.bz2”h0Œ@c0dbd77f4d6468c5b456e93198b4d4d4c568ac34c65f544ca05a74edca913114”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LNå¡ËhEMzÒhFˆubh)”}”(hŒr-xlconnectjars”h#Œ0.2_15”h%Œr36h6115d3f_2”h'Khhh(h)hŒ,r-xlconnectjars-0.2_15-r36h6115d3f_2.tar.bz2”h+Œ 41642db0efb8fe3bc88a0f3741bb6bd2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-xlconnectjars-0.2_15-r36h6115d3f_2.tar.bz2”h0Œ@837b0d0870f3aa654ba073dee08b39e038f5ef6d31e8f4a0942efbea36f3c6c7”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LW¬DzáhEJ‡BÞ hFˆubh)”}”(hŒr-multigroup”h#Œ0.4.5”h%Œr40h6115d3f_1”h'Khhh(h)hŒ(r-multigroup-0.4.5-r40h6115d3f_1.tar.bz2”h+Œ 8b26801c6f74a88d56ac0b6e6cfb5b86”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multigroup-0.4.5-r40h6115d3f_1.tar.bz2”h0Œ@425e549cb6f709705ff38293743cfb7544a53c6c9ec2ce0395f41f1c559ce1ea”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯ÊyÞ$ÝhEJ hFˆubh)”}”(hŒmesa-libegl-devel-cos7-aarch64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ;mesa-libegl-devel-cos7-aarch64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 5a1d5781acb77a09e0ae6c64864095ae”h.Œihttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-aarch64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@4688770363ae2740c6b8683840416efadabc211f57f363d20f6800490933460f”h2NhNh3Œ(mesa-libegl-cos7-aarch64 ==18.3.4 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å,ŠÚñªhEM¯JhFˆubh)”}”(hŒ
r-liqueuer”h#Œ0.0.1”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ&r-liqueuer-0.0.1-r40hc72bb7e_2.tar.bz2”h+Œ 55fcf573422998970775867f0046deb3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-liqueuer-0.0.1-r40hc72bb7e_2.tar.bz2”h0Œ@73fca7b85ff3a282703e674b7c8b72436fbdc0bf0b30cdec67dfb584966f83f5”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-itertools”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+"û"-hEJÑX hFˆubh)”}”(hŒgcsfs”h#Œ	2022.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$gcsfs-2022.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ c23516ded441ef754ea1626a8485d9e0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/gcsfs-2022.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2af7135502259d663f16bb7cd9d31dc8bf07e8cf84fbed8dd92c7e17cd8c5592”h2NhNh3(Œaiohttp”Œdecorator >4.1.2”Œfsspec 2022.11.0”Œgoogle-auth >=1.2”Œgoogle-auth-oauthlib”Œgoogle-cloud-storage >1.40”Œpython >=3.7”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÛAÑ–§ðhEM(jhFˆubh)”}”(hŒ
r-ravedash”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ravedash-0.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 9796d1a372e9a9c83c30a7f9c1471c2a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ravedash-0.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@42f2e3258d4179c47bfd0d2d1c8286f2f66c2d79873b78e692360843d98dc2ff”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dipsaus >=0.2.0”Œr-htmlwidgets”Œr-logger >=0.2.2”Œr-raveio >=0.0.6”Œr-rpymat >=0.1.2”Œr-shidashi >=0.1.1”Œr-shiny >=1.7.1”Œr-shinyvalidate”Œr-shinywidgets >=0.6.2”Œr-threebrain >=0.2.4”t”h9hºh@ŒMIT”hBŒMIT”hDGAØØcô½/hEJî² hFˆubh)”}”(hŒgtk2-devel-cos6-x86_64”h#Œ2.24.23”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3gtk2-devel-cos6-x86_64-2.24.23-h9b0a68f_105.tar.bz2”h+Œ 1e0eaa535a81bb101ff1116501259c0b”h.Œahttps://conda.anaconda.org/conda-forge/noarch/gtk2-devel-cos6-x86_64-2.24.23-h9b0a68f_105.tar.bz2”h0Œ@f216e221ec76234e0d1207ba274f8c0129130f8e3cd576fd284e1c924c44cccf”h2NhNh3(Œ$atk-devel-cos6-x86_64 >=1.29.4 *_105”Œ%cairo-devel-cos6-x86_64 >=1.6.0 *_105”Œ,gdk-pixbuf2-devel-cos6-x86_64 >=2.24.1 *_105”Œ&glib2-devel-cos6-x86_64 >=2.28.0 *_105”Œ gtk2-cos6-x86_64 ==2.24.23 *_105”Œ&pango-devel-cos6-x86_64 >=1.20.0 *_105”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@]ÍhEJëq. hFˆubh)”}”(hŒperl-exporter”h#Œ5.74”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ+perl-exporter-5.74-pl5321hd8ed1ab_0.tar.bz2”h+Œ fd2eac4e35f8c970870a3961c1df3e29”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/perl-exporter-5.74-pl5321hd8ed1ab_0.tar.bz2”h0Œ@42271d0b79043a10a89044acb5febea50046b745dd2fc37e02943bc3bc75bf8e”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØcòDÌÍhEMJhFˆubh)”}”(hŒr-pca3d”h#Œ0.10.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-pca3d-0.10.2-r41hc72bb7e_1.tar.bz2”h+Œ eb074685505b07c4e2c2114f76ea3a63”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pca3d-0.10.2-r41hc72bb7e_1.tar.bz2”h0Œ@c51c78a0f59fedbe145821f9a6bf698291947889786e4c05d01f0e2130e919e8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ellipse”Œr-rgl”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓ,	ë…hEJç hFˆubh)”}”(hŒr-sweidnumbr”h#Œ1.4.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ(r-sweidnumbr-1.4.2-r35h6115d3f_0.tar.bz2”h+Œ 17b51cc9976ac7be83ccb0a88cd6c9a2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sweidnumbr-1.4.2-r35h6115d3f_0.tar.bz2”h0Œ@490be4e7970d5fa4f74ca743b9f1e120da75637bc424f0b1d8b0964cb8084548”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-checkmate”Œr-lubridate >=1.5”Œ	r-stringr”t”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA× Cn-ÂhEJ—‹ hFˆubh)”}”(hŒ
r-purbayes”h#Œ1.3”h%Œr36_1002”h'Mêhhh(h)hŒr-purbayes-1.3-r36_1002.tar.bz2”h+Œ 86bef2d63b341de1f218038638959c29”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-purbayes-1.3-r36_1002.tar.bz2”h0Œ@abb7006044f79b58a91b96cb71e5c33d7fd6714496a4e069708495925bf87a56”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjags”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬hõãThEMû«hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGA×Læ6ú°!hEJíJ hFˆubh)”}”(hŒ
r-smoother”h#Œ1.1”h%Œr40_1002”h'Mêhhh(h)hŒr-smoother-1.1-r40_1002.tar.bz2”h+Œ e61cbb3024bcfa5590bb9876534a604b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-smoother-1.1-r40_1002.tar.bz2”h0Œ@c733e05f0bfb5b845abf9d90e765777acfa175402ce4a4dad2714ea43be1d1ae”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ttr >=0.22”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬:œ	ûçhEMõŠhFˆubh)”}”(hŒxcb-util-wm-cos7-aarch64”h#Œ0.4.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4xcb-util-wm-cos7-aarch64-0.4.1-h9b0a68f_1105.tar.bz2”h+Œ 01ac1acab1026c82b807a5a99e93a341”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-cos7-aarch64-0.4.1-h9b0a68f_1105.tar.bz2”h0Œ@1c18f432c4f46d89fd4f4c9fc8eddaf650eb439a3f7460694cb4e902c39a8e58”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡Ñ}²-hEM&phFˆubh)”}”(hŒr-gridextra”h#Œ2.3”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ(r-gridextra-2.3-r41hc72bb7e_1004.tar.bz2”h+Œ 71ebed7e976df735ff3443bb88bd154f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gridextra-2.3-r41hc72bb7e_1004.tar.bz2”h0Œ@0879c87ff7c1fccd0888ab0874becfe5afe2116330f7830cc75ecabf07081a38”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gtable”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐ;­N‡+hEJlÝ hFˆubh)”}”(hŒr-downscaler.keras”h#Œ1.0.0”h%Œr41ha770c72_1”h'Khhh(h)hŒ.r-downscaler.keras-1.0.0-r41ha770c72_1.tar.bz2”h+Œ f3466a64fd497af80592f4826e2abb78”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-downscaler.keras-1.0.0-r41ha770c72_1.tar.bz2”h0Œ@7c7afbdc02bc789723f9c7fbba02deaaf41219abe156c3e7d6b8b9af030012a8”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-downscaler >=3.3.2”Œr-keras >=2.2.2”Œ
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r-forecast”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×‡hië…hEJ ¥ hFˆubh)”}”(hŒr-gdalutils”h#Œ2.0.3.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-gdalutils-2.0.3.2-r41hc72bb7e_1.tar.bz2”h+Œ 049bb2b562359579b584e5915c12f8dd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gdalutils-2.0.3.2-r41hc72bb7e_1.tar.bz2”h0Œ@f20872f612e26e70166e8e81e23c71e6a31420ed0eafe679dc7b3f5e9f45d363”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-foreach”Œ	r-r.utils”Œr-raster”Œr-rgdal”Œr-sp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+"œ(öhEJ3# hFˆubh)”}”(hŒpytef”h#Œ0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpytef-0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0516f7e76ff3bb56987222ef4b9011dc”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pytef-0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ed69567a0ec017df0a2b21aa48e010b669c60a1a3bbcac418b2d889f083fc2d9”h2NhNh3(Œgsw”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œ	packaging”Œpip”Œpython >=3.6”Œtqdm”Œxarray”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØY*~ý?}hEMGhFˆubh)”}”(hŒ
batoms-api”h#Œ0.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%batoms-api-0.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 7d62ffe245d2b22cce417c40726c721d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/batoms-api-0.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@3e35cbb5a54b5d2e3e790a5e7e65f7565e4f485e49e298e9c6d75196493c85b8”h2NhNh3Œase”Œpython >=3.7”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ\‰$õ/hEMQ\hFˆubh)”}”(hŒverstr”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!verstr-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 64d1478b95850d6340c8216293a85ce5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/verstr-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@0737c8d23a6af2e49041c41f8c08405bf1d4c8dc6abb93aba4425731cc19317f”h2NhNh3Œ	packaging”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØœ§ÑvÙhEM‹hFˆubh)”}”(hŒr-rcarb”h#Œ0.1.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-rcarb-0.1.6-r41hc72bb7e_0.tar.bz2”h+Œ 65ec497ce182ea9d5f2e60329db73bf3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rcarb-0.1.6-r41hc72bb7e_0.tar.bz2”h0Œ@d023dd3df171ca3826ee0d3e075490313aebb7c6200b261043c6267ab6ebed1a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-interp >=1.1”Œr-matrixstats >=0.62.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¼‚B_l‹hEJ…ï hFˆubh)”}”(hŒproperscoring”h#Œ0.1”h%Œpy_0”h'K hhh(h)hŒproperscoring-0.1-py_0.tar.bz2”h+Œ 6c230a99de487a59484fd8a1e4fea1f3”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/properscoring-0.1-py_0.tar.bz2”h0Œ@52981644766b2fcef6f6b6d3e23ca47841080487939c846899501e422f5576e2”h2NhNh3Œnumpy”Œpython”Œscipy”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×8»ZªJhEMWhFˆubh)”}”(hŒr-waterfall”h#Œ1.0.2”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ'r-waterfall-1.0.2-r42hc72bb7e_3.tar.bz2”h+Œ f6b5c88ce4652626d904bd52fb2bdec2”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waterfall-1.0.2-r42hc72bb7e_3.tar.bz2”h0Œ@17c61e047c64a26b3c39f66871a81453460fa202dcf5101e1824cc4a0f3e9742”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-lattice”†”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØÑËåhshEM¡·hFˆubh)”}”(hŒr-naturalsort”h#Œ0.1.3”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ,r-naturalsort-0.1.3-r36h6115d3f_1003.tar.bz2”h+Œ 9da99566b4e28035fc8950d4ffc3b9c8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-naturalsort-0.1.3-r36h6115d3f_1003.tar.bz2”h0Œ@96a5f361a228f68bfcbe7cdf7eace1115d6229993c28d972e4d39799c777d348”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×¬	:,í‘hEMÜYhFˆubh)”}”(hŒtypes-tornado”h#Œ5.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(types-tornado-5.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 15fcb234cdda1e8b9f789b1daa704295”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/types-tornado-5.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@33fcfe3da92b409fa8f6f279a6f1da750cb84421bf9345a236e8ff933908f46f”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØJr¬17LhEM×GhFˆubh)”}”(hŒfusepyng”h#Œ1.0.7”h%Œpy_0”h'K hhh(h)hŒfusepyng-1.0.7-py_0.tar.bz2”h+Œ dbdcb1de87644feea5f018b1db0308f2”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/fusepyng-1.0.7-py_0.tar.bz2”h0Œ@f3074f584975310c28ec7a9a6e6a30610943405de5bd6376b0863fd59958614d”h2NhNh3Œpython”…”h9h?h@ŒISC”hBŒBSD”hDGAÖø‚®4“hEM¥3hFˆubh)”}”(hŒlibnl3-devel-cos7-ppc64le”h#Œ3.2.28”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libnl3-devel-cos7-ppc64le-3.2.28-h9d98e8f_1104.tar.bz2”h+Œ 31f0568ce8d6d9138631a4649b1fbae5”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos7-ppc64le-3.2.28-h9d98e8f_1104.tar.bz2”h0Œ@a56c21cdde2a32702ec6f7638b6a0e14d3c750f3ebbc5e6aeba2f9818f184967”h2NhNh3Œ'libnl3-cli-cos7-ppc64le ==3.2.28 *_1104”Œ#libnl3-cos7-ppc64le ==3.2.28 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÉÅW|îhEMÖßhFˆubh)”}”(hŒmesa-libegl-devel-cos7-x86_64”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:mesa-libegl-devel-cos7-x86_64-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ 80314954275d3c48b34b2f216217e954”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-devel-cos7-x86_64-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@326602cbdd700f95f052a0c01ac9af64e41908250d62d971ec13beac01dbd543”h2NhNh3Œ*mesa-khr-devel-cos7-x86_64 ==18.3.4 *_1105”Œ'mesa-libegl-cos7-x86_64 ==18.3.4 *_1105”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@q¦ol‹hEMoNhFˆubh)”}”(hŒ
commonmark”h#Œ0.9.1”h%Œpy_0”h'K hhh(h)hŒcommonmark-0.9.1-py_0.tar.bz2”h+Œ 6aa0173c14befcd577ded130cf6f22f5”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/commonmark-0.9.1-py_0.tar.bz2”h0Œ@10577f82bafd5d37f0c3f2122272d0dc1f2d133655c2bdd1a3cd5f910d0bd4c5”h2NhNh3Œfuture >=0.14.0”Œpython”†”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×eë®+hEMú¸hFˆubh)”}”(hŒr-logitnorm”h#Œ0.8.38”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-logitnorm-0.8.38-r41hc72bb7e_0.tar.bz2”h+Œ 3f14d6807bce68a81a68995f328d4d85”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-logitnorm-0.8.38-r41hc72bb7e_0.tar.bz2”h0Œ@907e6e8db8b8017d2c9fc6e8efee769ebec016b3d2160f70c5a0ec8343b66936”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÙ3Gd“hEJ… hFˆubh)”}”(hŒr-narray”h#Œ0.4.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-narray-0.4.1.1-r40hc72bb7e_0.tar.bz2”h+Œ b1b25917bcd00353121dbf668c332924”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-narray-0.4.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@1dff37b89acf2ef6b9a4420f3eb7dc11c96f1ebbeb04dc7afca0fc0de4fe4503”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-progress”Œ	r-stringr”‡”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGAØ&ÙµÕ¡ËhEJçÀ hFˆubh)”}”(hŒsquarify”h#Œ0.4.3”h%Œpy_0”h'K hhh(h)hŒsquarify-0.4.3-py_0.tar.bz2”h+Œ c475458b05eedee1b4ba031652fefb02”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/squarify-0.4.3-py_0.tar.bz2”h0Œ@06fac011376dc30e61423469960db7b29f3a83aeac7efc15672e70643b3f0059”h2NhNh3Œmatplotlib-base”Œpython >=2.6,<=2.7|>=3.5”†”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×L¸bl‹hEJé
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flask-cors”Œmlflow <=1.13.1”Œpython >=3.6”Œpytorch >1.5,<1.8”Œrequests”Œscikit-learn”Œscipy >=1.3.2”Œsentencepiece”Œ
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python-icc”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%python-icc-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ adc31c3a10e86a2ed672fcb37b4e5a72”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/python-icc-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f6e7ccb856c4a92ccfeb6a32fc3d689a70612694a5251d6065943c5e701ba5a1”h2NhNh3Œnumpy”Œpython >=3.6”Œscipy”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ$æ¹º^hEM("hFˆubh)”}”(hŒsystemd-cos7-aarch64”h#Œ219”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-systemd-cos7-aarch64-219-h9b0a68f_105.tar.bz2”h+Œ 3a6e2d225bfa299e76366ed53026a622”h.Œ[https://conda.anaconda.org/conda-forge/noarch/systemd-cos7-aarch64-219-h9b0a68f_105.tar.bz2”h0Œ@64c69172884c82c72a2b0a69d9f2631199e5ab4301a0714baea3aad0cfe3d517”h2NhNh3Œ%centos-release-cos7-aarch64 >=7 *_105”Œkmod-cos7-aarch64 >=18 *_105”Œ%systemd-libs-cos7-aarch64 ==219 *_105”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT and GPLv2+”hBŒGPL2”hDGAØ@XæêáHhEJ4s hFˆubh)”}”(hŒhere-map-widget-for-jupyter”h#Œ1.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6here-map-widget-for-jupyter-1.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 85d9be23774684e1d59eb1c60b49dc16”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/here-map-widget-for-jupyter-1.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@6bb367fe7f04c943ccda19199494babbcd68e6dff070abc49ec008f36210e641”h2NhNh3(Œbranca >=0.3.1,<0.5”Œipywidgets >=7.6.0,<8”Œpython >=3.6”Œxyzservices >=2021.8.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ]§(ƒ¶FhEJÞD hFˆubh)”}”(hŒlibselinux-devel-cos7-aarch64”h#Œ2.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6libselinux-devel-cos7-aarch64-2.5-h9d98e8f_104.tar.bz2”h+Œ a9a897e22eaa6d9cfc96ff026705d2e1”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-aarch64-2.5-h9d98e8f_104.tar.bz2”h0Œ@41d9e7111ac5120918b510e39a37434708308639c3ad9c8c2c390cfb43a1a1b7”h2NhNh3Œ#libselinux-cos7-aarch64 ==2.5 *_104”Œ'libsepol-devel-cos7-aarch64 >=2.5 *_104”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×É}
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r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ›~=qhEJi~ hFˆubh)”}”(hŒrequests”h#Œ2.27.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$requests-2.27.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7c1c427246b057b8fa97200ecdb2ed62”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/requests-2.27.1-pyhd8ed1ab_0.tar.bz2”h0Œ@74b8b294cf2b9455a71271f9c3b7f2e7b82da0129cd31e2ae24d68552ad15cd2”h2NhNh3(Œcertifi >=2017.4.17”Œcharset-normalizer >=2.0.0,<2.1”Œidna >=2.5,<4”Œpython >=3.6”Œurllib3 >=1.21.1,<1.27”t”h6Œchardet >=3.0.2,<5”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØv!¾¥ãhEMˆÒhFˆubh)”}”(hŒlibxi-devel-cos7-ppc64le”h#Œ1.7.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3libxi-devel-cos7-ppc64le-1.7.9-h9d98e8f_104.tar.bz2”h+Œ 9c1508b14ca89e4fec19254310ff658f”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-ppc64le-1.7.9-h9d98e8f_104.tar.bz2”h0Œ@c996d3d6026e56e67354589dfa262f3712907f22fc6ff71fe4b434ccc2f352b2”h2NhNh3Œ libxi-cos7-ppc64le ==1.7.9 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}7cohEJ\u hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyhd8ed1ab_2.tar.bz2”h+Œ 57f1c568e863b512c4fa9578224ca09c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyhd8ed1ab_2.tar.bz2”h0Œ@ce355d6367b04de9465fc36828df23c8070cf2b1a18b4a7bb4c29f1efd49b15f”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ À»±ÊÁhEM ¯hFˆubh)”}”(hŒ
validators”h#Œ0.18.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ&validators-0.18.2-pyhd3deb0d_0.tar.bz2”h+Œ a805c335f2d82b3dfb2f987520aae879”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/validators-0.18.2-pyhd3deb0d_0.tar.bz2”h0Œ@33b5276303201596c4ab7a95ea3ea279668c31d380a0f7dcce0ae43f67898b8c”h2NhNh3Œdecorator >=3.4.0”Œpython”Œsix >=1.4.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×÷)Ô_²hEMEGhFˆubh)”}”(hŒ	iam-units”h#Œ
2022.10.27”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)iam-units-2022.10.27-pyhd8ed1ab_0.tar.bz2”h+Œ 70af8ef82d2d19708cbe8935c08ff7d8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/iam-units-2022.10.27-pyhd8ed1ab_0.tar.bz2”h0Œ@9de0fec84e365d2ae226291c58e0bba3a09ddb06cc1b371448ed8c9321e71295”h2NhNh3Œpint”Œpython >=3.6”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÖœÔ*MÓhEM‡hFˆubh)”}”(hŒexpat-devel-cos7-aarch64”h#Œ2.1.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4expat-devel-cos7-aarch64-2.1.0-hdf0574f_1102.tar.bz2”h+Œ 405219bfdc3e53691031a1db622016c3”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-aarch64-2.1.0-hdf0574f_1102.tar.bz2”h0Œ@cabe37d4c2bc9cf79cd6ad4cb2d24a7d30a94c8a1914d32020bc5d65ceb9ca80”h2NhNh3Œ!expat-cos7-aarch64 ==2.1.0 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åâo×\)hEMù¾hFˆubh)”}”(hŒr-rationalexp”h#Œ0.2.2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ)r-rationalexp-0.2.2-r36h6115d3f_2.tar.bz2”h+Œ d20f43698d0cb23040592779b82212b8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rationalexp-0.2.2-r36h6115d3f_2.tar.bz2”h0Œ@0a76d8fffefa83014b1726f7dee4297a3eb722f7239e9029ae70f812ff0861a3”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-snowfall”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬dê'PhEJ	+ hFˆubh)”}”(hŒod”h#Œ2.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒod-2.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8ff8027846cb76b0cee3d42859fa2184”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/od-2.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@37939fb141983a1201285fdc279909acb53660ee942b86278d7b996ba0519b5b”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ”+?€õÃhEMâhFˆubh)”}”(hŒr-s4vd”h#Œ1.1_1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ%r-s4vd-1.1_1-r40h6115d3f_1002.tar.bz2”h+Œ 7d30267dbb880849353189b54c8a9496”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-s4vd-1.1_1-r40h6115d3f_1002.tar.bz2”h0Œ@7b3d2baf428630f93368ae9e371ea93269440bdd1c38b10fa1edbb6976ea36fb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-biclust”Œ	r-foreach”Œr-irlba”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬“—„¬hEJ â hFˆubh)”}”(hŒr-neuralnet”h#Œ1.44.2”h%Œr40h6115d3f_2”h'Khhh(h)hŒ(r-neuralnet-1.44.2-r40h6115d3f_2.tar.bz2”h+Œ 97555d42d1d2ab2ec4149b2160aef401”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-neuralnet-1.44.2-r40h6115d3f_2.tar.bz2”h0Œ@db02fc62f37a94f4423016ffc0544e44432f13300643ecbfafd9d0fef6cb9a0d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-deriv”Œr-mass”‡”h9hºh@Œ
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python >=3”Œscikit-learn >=0.23”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¹ŽN$ÝhEJrƒ hFˆubh)”}”(hŒjsonrpcclient”h#Œ4.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(jsonrpcclient-4.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 86fe8c39efe6d5e6f6f142c3fa6d03f6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/jsonrpcclient-4.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@3a80392d411f8923bda2b8d909fb78bc93e251fa93f50f5863ab47c3ac274e26”h2NhNh3(Œapply_defaults <1”Œclick <7”Œjsonschema <4”Œpython >=3.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØh õáxÕhEMN#hFˆubh)”}”(hŒr-r.oo”h#Œ1.25.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-r.oo-1.25.0-r41hc72bb7e_1.tar.bz2”h+Œ 080778ce659a006984a7a0dbdde9a57a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-r.oo-1.25.0-r41hc72bb7e_1.tar.bz2”h0Œ@2117f3d7f8c18c3ebc05387e97220d5e128140177afde292fc0db3eef9f94234”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-r.methodss3 >=1.7.1”†”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØÐP*ˆA‰hEJNT hFˆubh)”}”(hŒ
r-tidygate”h#Œ0.4.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-tidygate-0.4.9-r42hc72bb7e_1.tar.bz2”h+Œ 6f347900307530bb1d82035098fc3516”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidygate-0.4.9-r42hc72bb7e_1.tar.bz2”h0Œ@bbabb4f6bb8638d1202a9238eaa4b2a23546e77257866e794ed41107708430d4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-lifecycle”Œ
r-magrittr”Œr-purrr”Œr-rcolorbrewer”Œr-rlang”Œr-scales”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œ	r-viridis”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ÷YÃçmhEJ»¾	 hFˆubh)”}”(hŒlibidl-devel-cos7-aarch64”h#Œ0.8.14”h%Œha826a6f_103”h'Kghhh(h)hŒ5libidl-devel-cos7-aarch64-0.8.14-ha826a6f_103.tar.bz2”h+Œ 5cf6f694bcd87f8b5eb28d8c594a126b”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-aarch64-0.8.14-ha826a6f_103.tar.bz2”h0Œ@927cadfe695e043634b21020a0fcf5eaa18dc8a63a3412a5cb1cc7777ece3ded”h2NhNh3Œ$glib2-devel-cos7-aarch64 >=2.0 *_103”Œ"libidl-cos7-aarch64 ==0.8.14 *_103”Œ"pkgconfig-cos7-aarch64 >=0.8 *_103”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ13Ñ7LhEMØihFˆubh)”}”(hŒr-crosstalk”h#Œ1.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-crosstalk-1.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 43226a6c899a0d29af18babc053fbff8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-crosstalk-1.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@ba65948330b6e4ab2415bce71be6c7f13be57b2baafbd35fcf6599a562d863b7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools >=0.3.6”Œ
r-jsonlite”Œ
r-lazyeval”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ5öÃt¼hEJPÀ hFˆubh)”}”(hŒr-r2winbugs”h#Œ2.1_21”h%Œr35h6115d3f_1”h'Khhh(h)hŒ(r-r2winbugs-2.1_21-r35h6115d3f_1.tar.bz2”h+Œ e64b610b9d5ffb1629653c95d2069337”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r2winbugs-2.1_21-r35h6115d3f_1.tar.bz2”h0Œ@7e69d71a968aaa1a1710e3bb202be7d3c388d5250c9e529dc264bdc7a6dd634a”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-boot”Œr-coda >=0.11_0”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Köà(  hEJt. hFˆubh)”}”(hŒjavapackages-tools-cos7-x86_64”h#Œ3.4.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:javapackages-tools-cos7-x86_64-3.4.1-h9b0a68f_1105.tar.bz2”h+Œ e64a9d1a6ebe2cbb0309eeb9e75b99c6”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-x86_64-3.4.1-h9b0a68f_1105.tar.bz2”h0Œ@14ea2d9ab7463c70860449a17dc5288b2176c00db0c8f09883735622a3df0c7a”h2NhNh3Œ.python-javapackages-cos7-x86_64 ==3.4.1 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGAØ@k„M?}hEMÝhFˆubh)”}”(hŒfontconfig-devel-cos6-x86_64”h#Œ2.8.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8fontconfig-devel-cos6-x86_64-2.8.0-h9b0a68f_1105.tar.bz2”h+Œ c402867c3d072145654e18600f26b0db”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos6-x86_64-2.8.0-h9b0a68f_1105.tar.bz2”h0Œ@494a4b08087d864e25a472779e641d55028e17a33bfe053d719786d8ad423824”h2NhNh3Œ%fontconfig-cos6-x86_64 ==2.8.0 *_1105”Œ)freetype-devel-cos6-x86_64 >=2.1.4 *_1105”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@]M¢-hEJ’g hFˆubh)”}”(hŒ
multivisor”h#Œ6.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%multivisor-6.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ ef04ea15c53bbc4455488c15f720bc88”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/multivisor-6.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f6276294974977440acaedc9bd2d5090b8f86878f663d5e93e722e20197c1dc0”h2NhNh3Œgevent >=1.3”Œpython >=3.6”Œsix”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¨V\)hEJ*E	 hFˆubh)”}”(hŒmechwolf”h#Œ0.1.1”h%Œpy_2”h'Khhh(h)hŒmechwolf-0.1.1-py_2.tar.bz2”h+Œ 4be24ff8bca65d0a1f87dbc4c65759f9”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/mechwolf-0.1.1-py_2.tar.bz2”h0Œ@39deb1f217af2d71e5a25245e99780fb7f1a763d4cca02e70dcfbda3cbe3b8cb”h2NhNh3(Œaiofiles”Œ	aioserial”Œaltair”Œbokeh”Œgraphviz >=2.38.0”Œipython >=7.0”Œ
ipywidgets”Œjupyter”Œloguru”Œnb_conda_kernels”Œnest-asyncio”Œnetworkx”Œpint”Œpytest”Œpytest-runner”Œpython >=3.7”Œpython-graphviz”Œpython-xxhash”Œpyyaml”Œterminaltables”Œvega”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×bÚÞ‘hhEM´ÌhFˆubh)”}”(hŒmesa-libgl-cos7-ppc64le”h#Œ18.3.4”h%Œ
h1341992_0”h'K hhh(h)hŒ1mesa-libgl-cos7-ppc64le-18.3.4-h1341992_0.tar.bz2”h+Œ f4752aa579adb1bdf27dc3ed0172cee6”h.Œ_https://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-ppc64le-18.3.4-h1341992_0.tar.bz2”h0Œ@05864c2331f7c20f10404883f16cb91102c8224d2cb76d739c4c207783c80033”h2NhNh3Œlibdrm-cos7-ppc64le”Œlibglvnd-glx-cos7-ppc64le”Œmesa-libglapi-cos7-ppc64le”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×1üƒ…hEJ ó hFˆubh)”}”(hŒr-hiver”h#Œ0.3.63”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-hiver-0.3.63-r36h6115d3f_0.tar.bz2”h+Œ 0c4eb3248aada9db9a3a1ce6ff6476e6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-hiver-0.3.63-r36h6115d3f_0.tar.bz2”h0Œ@f0f3b8bf0231c25414d8eeba7d7627ef5efdfb8a0cd352d160b3164c114d513d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-jpeg”Œr-plyr”Œr-png”Œr-rcolorbrewer”Œr-rgl”Œr-tkrgl”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×·æ}r\hEJ÷- hFˆubh)”}”(hŒr-loose.rock”h#Œ1.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-loose.rock-1.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 6be91b71b3d3cd99f65114dbf33770bc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-loose.rock-1.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@e8dd70874227cab22520630cec1d2011f57d3d34f84805b4c3026adad29cc65b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-dplyr”Œr-futile.options”Œ	r-ggplot2”Œr-httr”Œr-mass”Œ
r-reshape2”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ
 Å…/hEJ¡ hFˆubh)”}”(hŒca-certificates-cos6-x86_64”h#Œ	2018.2.22”h%Œhdf0574f_1102”h'MNhhh(h)hŒ;ca-certificates-cos6-x86_64-2018.2.22-hdf0574f_1102.tar.bz2”h+Œ 792f8669c232ad61fa3040fdc62e8754”h.Œihttps://conda.anaconda.org/conda-forge/noarch/ca-certificates-cos6-x86_64-2018.2.22-hdf0574f_1102.tar.bz2”h0Œ@16357d48ad2a7b1d5fe16fb003d413ff5228d8323af02edc8a8a29adb77e64e8”h2NhNh3Œ#p11-kit-cos6-x86_64 >=0.18.4 *_1102”Œ)p11-kit-trust-cos6-x86_64 >=0.18.4 *_1102”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×ÅáØéyhEJò0 hFˆubh)”}”(hŒr-hdm”h#Œ0.3.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ!r-hdm-0.3.1-r36h6115d3f_1.tar.bz2”h+Œ e981a5d1e452ea4935c492f4b1ef7866”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hdm-0.3.1-r36h6115d3f_1.tar.bz2”h0Œ@b6b3173ce9549654cc5e5344ac5d6dee401f85446b5f5352ec87e38ccf586bea”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-checkmate”Œ	r-formula”Œ	r-ggplot2”Œr-glmnet”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGA×M¹ã×
hEJ; hFˆubh)”}”(hŒr-babelgene”h#Œ22.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-babelgene-22.9-r42hc72bb7e_1.tar.bz2”h+Œ 1f481cf70eda85fc7891779d743f38e9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-babelgene-22.9-r42hc72bb7e_1.tar.bz2”h0Œ@7e69f0eaf4a26e80ee62529f19f6701209e85d3ae507055981fec80d1d6a9d90”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-rlang”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ¿	T9XhEJ~08 hFˆubh)”}”(hŒr-shinyvalidate”h#Œ0.1.2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ+r-shinyvalidate-0.1.2-r42hc72bb7e_0.tar.bz2”h+Œ e2f8b7480793402b5b658688b11699b8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-shinyvalidate-0.1.2-r42hc72bb7e_0.tar.bz2”h0Œ@5fdb0914078b92b55e93a1239cae7ca51049724fe2f425ab6d80bff21fa847c2”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-glue >=1.4.2”Œr-htmltools >=0.5.1.1”Œr-rlang >=0.4.10”Œr-shiny >=1.6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØØeç|îhEJë hFˆubh)”}”(hŒr-rwekajars”h#Œ3.9.3_2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-rwekajars-3.9.3_2-r36h6115d3f_0.tar.bz2”h+Œ 4e755f43e6d9bfe7164a1557509060dd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rwekajars-3.9.3_2-r36h6115d3f_0.tar.bz2”h0Œ@a042340da853cedfa487cd456310734a151a21670bcb5caf56054ccdb5f3e751”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava >=0.6_3”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×€ZL¸hEJóV› hFˆubh)”}”(hŒfribidi-cos7-ppc64le”h#Œ1.0.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0fribidi-cos7-ppc64le-1.0.2-h9b0a68f_1105.tar.bz2”h+Œ 4f87d0eb600fc375e31cbf9ac426949e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/fribidi-cos7-ppc64le-1.0.2-h9b0a68f_1105.tar.bz2”h0Œ@f2a162946f3026dec7b6d8465f25ebd2fcfca4c3574a5203c82082a241c90447”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2+ and UCD”hBŒLGPL”hDGAØ@‡Î¥hEJ_< hFˆubh)”}”(hŒlibxcb-cos7-aarch64”h#Œ1.13”h%Œha826a6f_103”h'Kghhh(h)hŒ-libxcb-cos7-aarch64-1.13-ha826a6f_103.tar.bz2”h+Œ 80f49b5a89abb87487922fb8cb54065b”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-aarch64-1.13-ha826a6f_103.tar.bz2”h0Œ@7906e63e16f3dde36bd6a85aa2cf052aa0d6298661c9eea02ece0c9179a8f67e”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/6šŸ¾hEJM¸ hFˆubh)”}”(hŒ	r-rentrez”h#Œ1.2.3”h%Œr41h785f33e_1”h'Khhh(h)hŒ%r-rentrez-1.2.3-r41h785f33e_1.tar.bz2”h+Œ 22140287f38d066fcd59ab78c353320f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rentrez-1.2.3-r41h785f33e_1.tar.bz2”h0Œ@dcfeab4727256792c2ca5750b8a30935faae13119891d6d27e795553c7208a22”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr >=0.5”Œr-jsonlite >=0.9”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÚÉk"ÑhEJ¢@ hFˆubh)”}”(hŒr-interactions”h#Œ1.1.5”h%Œr41h785f33e_1”h'Khhh(h)hŒ*r-interactions-1.1.5-r41h785f33e_1.tar.bz2”h+Œ 76e87586bf39c0217b8a36e47ce873ee”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-interactions-1.1.5-r41h785f33e_1.tar.bz2”h0Œ@f3c3be72fa7629c42c5d2309c42b57fbef5cc8f3383681e8c68539d393143567”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-crayon”Œ
r-generics”Œ	r-ggplot2”Œr-jtools >=2.0.3”Œr-rlang >=0.3.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ`ñûhEJ‘© hFˆubh)”}”(hŒr-treatmentselection”h#Œ2.1.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ3r-treatmentselection-2.1.1-r40h6115d3f_1002.tar.bz2”h+Œ 988fa11b359038f57f8b96b2e9627a2a”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-treatmentselection-2.1.1-r40h6115d3f_1002.tar.bz2”h0Œ@348ad0eadfdfa3023627ec00db4e6c4f42a4393dc090711d8c179609f9c82e12”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-binom”Œ	r-ggplot2”Œ
r-survival”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬‘ù‰7hEJO¶' hFˆubh)”}”(hŒr-paco”h#Œ0.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-paco-0.4.2-r41hc72bb7e_0.tar.bz2”h+Œ 61c567564bc4a3d58531c75c00e6e560”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-paco-0.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@16280f10346afc1175c27b1a3f4f53a44b9b407b98f41013db546b99c9dbbd10”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œr-vegan >=2.2_0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+þep¤hEM÷ÎhFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy39h1234567_0”h'K hhh(h)hŒ)pyomniscidb-5.10.2-py39h1234567_0.tar.bz2”h+Œ d4acd767a5837f595b34e9db317bf589”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py39h1234567_0.tar.bz2”h0Œ@77ad9efacf45727fcb84eedbc1eff13a59203a73ff4f9e604a9425e8e26b65a5”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ‡ß|UOßhEM¯ùhFˆubh)”}”(hŒr-gender”h#Œ0.6.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-gender-0.6.0-r42hc72bb7e_1.tar.bz2”h+Œ a3c4bfdd03ed4c2d562e204b1bbb3e8c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gender-0.6.0-r42hc72bb7e_1.tar.bz2”h0Œ@c975b30cbd8afcdd4f5910ced5987cd53fe22fc1616944ce43a2127da9abfb47”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.8.5”Œr-httr >=1.4.1”Œr-jsonlite >=1.6.1”Œr-remotes >=2.2.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ°G›t¼hEJÊ¡ hFˆubh)”}”(hŒgtk2-cos6-x86_64”h#Œ2.24.23”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-gtk2-cos6-x86_64-2.24.23-h9d98e8f_104.tar.bz2”h+Œ 718f6b634748dfad79e451c03a771859”h.Œ[https://conda.anaconda.org/conda-forge/noarch/gtk2-cos6-x86_64-2.24.23-h9d98e8f_104.tar.bz2”h0Œ@dcdec8410e86b5d8fbb4b66528c19bb5e4af63cf6640401bb824b2b853344101”h2NhNh3(Œatk-cos6-x86_64 >=1.29.4 *_104”Œ glib2-cos6-x86_64 >=2.28.0 *_104”Œ libx11-cos6-x86_64 >=1.5.0 *_104”Œ&libxrandr-cos6-x86_64 >=1.2.99.4 *_104”Œ pango-cos6-x86_64 >=1.20.0 *_104”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É|Ñ˜£×hEJ÷7 hFˆubh)”}”(hŒ
grpcio-gcp”h#Œ0.2.2”h%Œpyhd8ed1ab_6”h'Khhh(h)hŒ%grpcio-gcp-0.2.2-pyhd8ed1ab_6.tar.bz2”h+Œ 3c84a4b94bda53e4d0c929eb2f46cc19”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/grpcio-gcp-0.2.2-pyhd8ed1ab_6.tar.bz2”h0Œ@e46e3c0c584d1d65ac3e099631c566beacf03dbd58dd4c7d829d5568d5a994cc”h2NhNh3Œgrpcio >=1.12.0”Œprotobuf >=3.6.1”Œpython >=3.6”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØËÝp»dZhEMbEhFˆubh)”}”(hŒr-randomcolor”h#Œ1.1.0.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ+r-randomcolor-1.1.0.1-r40hc72bb7e_1.tar.bz2”h+Œ be71b1e45c9426ce4256983e94b944d5”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-randomcolor-1.1.0.1-r40hc72bb7e_1.tar.bz2”h0Œ@8239da1cbfc55f5b5d7e1bee08dc9977805fe0fd1a2ab72bfa2a908b36b9eeb8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”Œr-colorspace”Œr-rtsne”Œr-scales”Œ	r-stringr”Œr-v8”t”h9hºh@ŒCC0”hBŒCC”hDGAØ*ÿ¹º^hEM÷ˆhFˆubh)”}”(hŒr-ppcor”h#Œ1.1”h%Œr40ha770c72_1003”h'Mëhhh(h)hŒ$r-ppcor-1.1-r40ha770c72_1003.tar.bz2”h+Œ f7714d3cad3478cb2777cbec4b1dddd6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ppcor-1.1-r40ha770c72_1003.tar.bz2”h0Œ@987cd7fc5d9eb79c5fbb3979f803fa937e2520893c19bc860c72d06932d978f3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+ª½`BhEM}¡hFˆubh)”}”(hŒmlflow”h#Œ1.2.0”h%Œpy_0”h'K hhh(h)hŒmlflow-1.2.0-py_0.tar.bz2”h+Œ a09715400326f71c8242cc0cc479a912”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/mlflow-1.2.0-py_0.tar.bz2”h0Œ@e78c37137d7922c39eca73cf77da7aa87db41aff29f61cb2caea25b95f31fe97”h2NhNh3(Œalembic”Œclick >=7.0”Œcloudpickle”Œdatabricks-cli >=0.8.7”Œdocker-py >=3.6.0”Œentrypoints”Œflask”Œgitpython >=2.1.0”Œgorilla”Œgunicorn”Œnumpy”Œpandas”Œpip”Œprotobuf >=3.6.0”Œpython >=3.6.0”Œpython-dateutil”Œpyyaml”Œquerystring_parser”Œrequests >=2.17.3”Œ
simplejson”Œsix >=1.10.0”Œ
sqlalchemy”Œsqlparse”t”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×VåBhshEJ;Õ8 hFˆubh)”}”(hŒargcomplete”h#Œ1.12.3”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ'argcomplete-1.12.3-pyhd8ed1ab_2.tar.bz2”h+Œ b8152341fc3fc9880c6e1b9d188974e5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/argcomplete-1.12.3-pyhd8ed1ab_2.tar.bz2”h0Œ@2abb116f5bdc62d5e83c9dd15e5fc30c2a9571f728ccc012fad03350ed1d581e”h2NhNh3Œimportlib_metadata >=0.23,<5”Œpython >=3.5”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ |„†ffhEMî‰hFˆubh)”}”(hŒr-argparser”h#Œ0.7.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-argparser-0.7.1-r41hc72bb7e_0.tar.bz2”h+Œ 066d598fade748ed3e53094fef4879f8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-argparser-0.7.1-r41hc72bb7e_0.tar.bz2”h0Œ@a2f0399c4202fe8da6a95be41e8ca9f8fe325441a0fe1ba5e4d16ca0f6f779cf”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+0Ñ`õÃhEJç  hFˆubh)”}”(hŒr-rgen”h#Œ0.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-rgen-0.0.1-r42hc72bb7e_1.tar.bz2”h+Œ c345b8bf6643a5a8ea0575fe8e447e2c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rgen-0.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@4d35546554ef803bef162fcc3492933330fe3834bd397f59ba06cf6d257ecb2f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐðæÂhEMvshFˆubh)”}”(hŒr-distillery”h#Œ1.2_1”h%Œr41h785f33e_0”h'K hhh(h)hŒ(r-distillery-1.2_1-r41h785f33e_0.tar.bz2”h+Œ 26f7465d41acc047baba4c4f9e237538”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-distillery-1.2_1-r41h785f33e_0.tar.bz2”h0Œ@53568e1b2201e0dcfdce9cc58b916236d1e388ac3efb51bda5927f48f4a59825”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*öF!xÕhEJÌ hFˆubh)”}”(hŒr-conditionz”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-conditionz-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 87980bc14741777278d2b71f55e98a68”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-conditionz-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@10adeab67788edec486701d9ea10f1de1fe86579558e098a9a15249c954299e4”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-r6”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ*çdA‰7hEM(ýhFˆubh)”}”(hŒlibx11-devel-cos7-aarch64”h#Œ1.6.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libx11-devel-cos7-aarch64-1.6.7-hdf0574f_1102.tar.bz2”h+Œ ad526d59edab0caf117f3e90611f60a7”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-aarch64-1.6.7-hdf0574f_1102.tar.bz2”h0Œ@d9d014544e81e55760b210e18ef1c7efb18cba2acc8458579894362d8a8bda4f”h2NhNh3Œ"libx11-cos7-aarch64 ==1.6.7 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å,U°“uhEJG] hFˆubh)”}”(hŒr-ssanv”h#Œ1.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ$r-ssanv-1.1-r36h6115d3f_1001.tar.bz2”h+Œ 37fade6e006d5e5228f2b5278a3de8c2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ssanv-1.1-r36h6115d3f_1001.tar.bz2”h0Œ@62567610a3445232d8d3af57f3844041a52b2f95a4bf581a9d03da4a7b614278”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L2ŠÌ1hEJB hFˆubh)”}”(hŒlibxcursor-devel-cos6-x86_64”h#Œ1.1.14”h%Œha826a6f_103”h'Kghhh(h)hŒ8libxcursor-devel-cos6-x86_64-1.1.14-ha826a6f_103.tar.bz2”h+Œ cf117de9b5d66380a38cfd9b6cf15ffc”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos6-x86_64-1.1.14-ha826a6f_103.tar.bz2”h0Œ@964ea1e366ed5c6691e305b19c951bc8055e232651fc8588e68b493dde24e4d9”h2NhNh3Œ%libxcursor-cos6-x86_64 ==1.1.14 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2fN¸RhEM[9hFˆubh)”}”(hŒsysroot-cos7-aarch64”h#Œ2.17”h%Œ
hca5cc2b_7”h'Khhh(h)hŒ,sysroot-cos7-aarch64-2.17-hca5cc2b_7.tar.bz2”h+Œ b951a5ce35b00fa5a0e54b6a03c1df2a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-aarch64-2.17-hca5cc2b_7.tar.bz2”h0Œ@b7ba43eb82549b58ef2c2337ae1888dee3ee868a9a18e7069f7445a185ae26af”h2NhNh3Œsysroot_linux-aarch64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶úm»ohEMÊhFˆubh)”}”(hŒpkgconfig-cos7-aarch64”h#Œ0.27.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2pkgconfig-cos7-aarch64-0.27.1-h9b0a68f_105.tar.bz2”h+Œ 908c4412fb0e90f9b8dbc808c1087cc6”h.Œ`https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-aarch64-0.27.1-h9b0a68f_105.tar.bz2”h0Œ@eda1a8ed163233edbb784192f162ffb2c9c424eacf182ce932d5d9c533809146”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@V–…/hEM ÑhFˆubh)”}”(hŒsagemaker-pytorch-container”h#Œ2.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6sagemaker-pytorch-container-2.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ bd0db570204237409d85959bf1c29dc2”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/sagemaker-pytorch-container-2.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7866c92e40716284d73bcad9b9658478d764daec4d919520c4a6c428a3b93c96”h2NhNh3(Œnumpy >=1.16.4”Œpillow >=6.2.0”Œpython >=2.7,<3.7”Œpytorch-cpu”Œretrying >=1.3.3”Œsagemaker_containers”Œsix >=1.12.0”t”h9h?h@Œ
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jsonschema”Œjupytext”Œ	nbconvert”Œnbformat”Œpandoc”Œpanflute”Œpathlib2”Œpython”Œruamel.yaml”Œ
setuptools”Œshutilwhich”Œsix”Œsphinx >=1.6,<2”Œsphinxcontrib-bibtex”Œtexsoup <0.2”Œtornado”Œ	traitlets”Œtyping”t”h9h?h@ŒMIT”hBŒMIT”hDGA×/üd1hEJL hFˆubh)”}”(hŒr-blme”h#Œ1.0_5”h%Œr36ha770c72_0”h'K hhh(h)hŒ"r-blme-1.0_5-r36ha770c72_0.tar.bz2”h+Œ 7b8b522487f35ae5674a0165c3ef9a61”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-blme-1.0_5-r36ha770c72_0.tar.bz2”h0Œ@68ee9459db7b121ab1f3968b49ffed9a9a95c04ec86623a6ac518a8540a77dff”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-lme4 >=1.0_6”†”h9hºh@ŒGPL2.0-or-later”hBŒGPL3”hDGA×ý3åÁG®hEJT‰ hFˆubh)”}”(hŒr-tractor.base”h#Œ3.3.5.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-tractor.base-3.3.5.1-r41hc72bb7e_1.tar.bz2”h+Œ 6e3fe2b7f661a11c14e03eb5d695c0f8”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tractor.base-3.3.5.1-r41hc72bb7e_1.tar.bz2”h0Œ@33582dbc928d392352acf1273c82537bf0c586363927ae0341d037f074ab0620”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ore >=1.3.0”Œ	r-reportr”Œr-rnifti”Œr-shades”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑößŽ‡+hEJ(ƒ% hFˆubh)”}”(hŒjava-1.7.0-openjdk-cos6-x86_64”h#Œ	1.7.0.181”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ>java-1.7.0-openjdk-cos6-x86_64-1.7.0.181-h9d98e8f_1104.tar.bz2”h+Œ 9cf0e6f944e19c88afc29d505e13b83a”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/java-1.7.0-openjdk-cos6-x86_64-1.7.0.181-h9d98e8f_1104.tar.bz2”h0Œ@76c1b5ea38642794b8e53c49321b0408d32de42f4098d9635041aba0b43e2180”h2NhNh3(Œ)copy-jdk-configs-cos6-x86_64 >=3.3 *_1104”Œ)jpackage-utils-cos6-x86_64 >=1.7.3 *_1104”Œ(libjpeg-turbo-cos6-x86_64 ==1.2.1 *_1104”Œnss-cos6-x86_64 >=3.28.4 *_1104”Œ'nss-softokn-cos6-x86_64 >=3.14.3 *_1104”Œsysroot_linux-64 2.12.*”t”h9hºh@Œ¸ASL 1.1 and ASL 2.0 and BSD and BSD with advertising and GPL+ and GPLv2 and GPLv2 with exceptions and IJG and LGPLv2+ and MIT and MPLv1.1 and MPLv2.0 and Public Domain and W3C and zlib”hBŒGPL2”hDGA×É™o\)hEJ9ÉhFˆubh)”}”(hŒ	warctools”h#Œ4.10.0”h%Œpy_1”h'Khhh(h)hŒwarctools-4.10.0-py_1.tar.bz2”h+Œ fcd9fc272e6dd6146c0897f6eaa39544”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/warctools-4.10.0-py_1.tar.bz2”h0Œ@2a7f381ebedbd53a4bc066838f7f306ab76702ac05dbe87613070873fec0a730”h2NhNh3Œpython >=3.4,<3.5”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖêCdZhEMÁ`hFˆubh)”}”(hŒr-riingo”h#Œ0.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-riingo-0.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 7b6e29ba47a7dcc919730341324c6d25”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-riingo-0.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@6ef1942ec06e7c927d36a06434cb6a8f7bebf8922b33e15407787f50a83725e4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon >=1.3.4”Œr-dplyr >=0.7.4”Œr-glue >=1.3.1”Œr-httr >=1.3.1”Œr-jsonlite >=1.5”Œr-purrr >=0.2.4”Œr-rlang >=0.2.0”Œr-tibble >=1.4.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑM‰ë…hEJ6ý hFˆubh)”}”(hŒspyboat”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"spyboat-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4465f3c83dd17a9ffa1a5aa0de201086”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/spyboat-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f2146700a349848603e45007d1334c8577c942be45eb6b39fa98118dd1db4ab6”h2NhNh3(Œmatplotlib-base >=3.1”Œnumpy >=1.18”Œpyboat >=0.8.22”Œpython >=3.6”Œscikit-image >=0.14.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGA×ïõ3çmhEMR~hFˆubh)”}”(hŒ
r-dreamerr”h#Œ1.2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-dreamerr-1.2.3-r41hc72bb7e_1.tar.bz2”h+Œ 871c0bef0bc80a477f2169ff3dc9827a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dreamerr-1.2.3-r41hc72bb7e_1.tar.bz2”h0Œ@3fbc539f71e36020b0a6c9d87f46613faef2a1390b71eb5f26b53faf3a255de9”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-formula”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¸~¸RhEJÄ‘ hFˆubh)”}”(hŒ	r-etrunct”h#Œ0.1”h%Œr35_1001”h'Méhhh(h)hŒr-etrunct-0.1-r35_1001.tar.bz2”h+Œ bccbb1c912e6a0b7087e9fc5ea63696e”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-etrunct-0.1-r35_1001.tar.bz2”h0Œ@40e22251a97fc1093d3f55178fcab93cf2221974f29fdcce4ef066eedcc850bd”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Lˆ"cohEM>hFˆubh)”}”(hŒnwchemcmlutils”h#Œ3.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)nwchemcmlutils-3.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7b2a4819b46f3572512a58ec1f4ee862”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/nwchemcmlutils-3.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d8d7b5d848496eb7201d33a95c91f88a3d90aa4cee919627f01cc0c5940b214e”h2NhNh3Œnumpy”Œpython >=3.6”Œxmlvalidator”‡”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØmÃ?¾whEJ>Ï hFˆubh)”}”(hŒr-pack”h#Œ0.1_1”h%Œ	r351_1000”h'Mèhhh(h)hŒr-pack-0.1_1-r351_1000.tar.bz2”h+Œ 140e8c683edb48cab90434486ee5e179”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-pack-0.1_1-r351_1000.tar.bz2”h0Œ@e2301aaedef7dd4f3afb13dd544e2a721c643370817866c8a6cae6beec62a10a”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖû4»djhEML|hFˆubh)”}”(hŒrb-tty-cursor”h#Œ0.7.1”h%Œ
hbe843c9_2”h'Khhh(h)hŒ&rb-tty-cursor-0.7.1-hbe843c9_2.tar.bz2”h+Œ cf98ca4c6bc86d6509d39fa0ce8af8c1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/rb-tty-cursor-0.7.1-hbe843c9_2.tar.bz2”h0Œ@d3d0599a6b42a41bbe44582b562fd44090674a97cadba863b257f641db4d9620”h2NhNh3Œruby >=2.5.7,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØe™¶ý/hEMÔ^hFˆubh)”}”(hŒ	r-effects”h#Œ4.2_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-effects-4.2_2-r40hc72bb7e_0.tar.bz2”h+Œ 2793f6ccc327f6a1e3a4a3530c8d1b33”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-effects-4.2_2-r40hc72bb7e_0.tar.bz2”h0Œ@553424661433f12093a701483f2621343b573c7191e87bbeda421468d517430f”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cardata”Œr-colorspace”Œr-estimability”Œ	r-insight”Œ	r-lattice”Œr-lme4”Œr-nnet”Œr-survey”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ³Ì/âáHhEJ%ª$ hFˆubh)”}”(hŒr-r2html”h#Œ2.3.3”h%Œr42ha770c72_1”h'Khhh(h)hŒ$r-r2html-2.3.3-r42ha770c72_1.tar.bz2”h+Œ 8953ffb85dca39242ce0c90361671b2c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r2html-2.3.3-r42ha770c72_1.tar.bz2”h0Œ@363d278dcbbf3298e5a87b9634ac8311483d4a8c1e688ef5d64d25f50cb2c0b9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÐÚè å`hEJsÍ	 hFˆubh)”}”(hŒ	pyworkdir”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒpyworkdir-0.4.0-py_0.tar.bz2”h+Œ 1392893ea29ece10512e19701a868aba”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pyworkdir-0.4.0-py_0.tar.bz2”h0Œ@fbd6c960511063137a03ce38c898be1e70555b966e5d3a5a668248485eaf6784”h2NhNh3(Œclick >=6.0”Œjinja2”Œpython >=3.6”Œpyyaml”t”h9h?h@ŒMIT”hBŒMIT”hDGA×aIºPhEMºIhFˆubh)”}”(hŒ
fenics-ufl”h#Œ2019.1.0”h%Œpy_6”h'Khhh(h)hŒ fenics-ufl-2019.1.0-py_6.tar.bz2”h+Œ 258586e852024734e12368cf096b4b9d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2019.1.0-py_6.tar.bz2”h0Œ@e896b058b0cf59c37a17285b52ec0100df88ba7c3e3dd78781ec9198123b7ef9”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×Yš„¹º^hEJM hFˆubh)”}”(hŒcmocean”h#Œ2.0”h%Œpy_3”h'Khhh(h)hŒcmocean-2.0-py_3.tar.bz2”h+Œ 10f08c3aa77dc4080ebc1c03cb542f70”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/cmocean-2.0-py_3.tar.bz2”h0Œ@c0507ffb73c3a8a1132574576b9ebc89d40d607851f7596f4f70264f223e912a”h2NhNh3Œcolorspacious”Œmatplotlib-base”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×Ž‚¿èõÃhEJLÇ hFˆubh)”}”(hŒ	r-pvclust”h#Œ2.2_0”h%Œr40_1”h'Khhh(h)hŒr-pvclust-2.2_0-r40_1.tar.bz2”h+Œ 92c17e9f4d910734e8fb2c244c875ad5”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-pvclust-2.2_0-r40_1.tar.bz2”h0Œ@fbbfd9d08c3c3a14cbb1ca7f74bda61e79b162493fa6665795ded48405e7359f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL”hDGA×¬hv»dZhEJ± hFˆubh)”}”(hŒ	r-nnlasso”h#Œ0.3”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ&r-nnlasso-0.3-r36h6115d3f_1001.tar.bz2”h+Œ 21ed1dd5fa5c7d6912503fe1fd6f20bc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-nnlasso-0.3-r36h6115d3f_1001.tar.bz2”h0Œ@899a6d56e985f9ef46e7965cde9f5be685c0b71a27056e6d6b45b26470c171e6”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÍ‹´9hEJ‰
 hFˆubh)”}”(hŒopensm-cos7-ppc64le”h#Œ3.3.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/opensm-cos7-ppc64le-3.3.21-h9b0a68f_105.tar.bz2”h+Œ db9ba0e25faf406fbfab4d8a87bb63b6”h.Œ]https://conda.anaconda.org/conda-forge/noarch/opensm-cos7-ppc64le-3.3.21-h9b0a68f_105.tar.bz2”h0Œ@84804fd16220baf18ad61127ebf7f403345ad0b611a7dc26c206152b8abdafdd”h2NhNh3Œ'opensm-libs-cos7-ppc64le ==3.3.21 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJeY7LhEJ©	 hFˆubh)”}”(hŒsystemd-devel-cos7-x86_64”h#Œ219”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3systemd-devel-cos7-x86_64-219-h9d98e8f_1104.tar.bz2”h+Œ dbf9578d2b8c148b7d867fad93c26e7c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/systemd-devel-cos7-x86_64-219-h9d98e8f_1104.tar.bz2”h0Œ@18c5f310e551a72952991bff13928d28acecd530cd589b0cf4a2c9f9194de208”h2NhNh3Œsysroot_linux-64 2.17.*”Œ systemd-cos7-x86_64 ==219 *_1104”Œ%systemd-libs-cos7-x86_64 ==219 *_1104”‡”h9hºh@ŒLGPLv2+ and MIT”hBŒLGPL”hDGA×ØÏ_¤“hEJ[Ý hFˆubh)”}”(hŒ
r-nparcomp”h#Œ3.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ$r-nparcomp-3.0-r35h6115d3f_1.tar.bz2”h+Œ 72397608a9f553cf9162d35a744b4a5d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nparcomp-3.0-r35h6115d3f_1.tar.bz2”h0Œ@6926fb9f2717c068bda01db5148f83b945eb50ab12d687dc3a8ef8ab74d349fe”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-multcomp”Œ	r-mvtnorm”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×Ln‹ïKÇhEJòÆ hFˆubh)”}”(hŒr-climate4r.udg”h#Œ0.2.4”h%Œr40ha770c72_0”h'K hhh(h)hŒ+r-climate4r.udg-0.2.4-r40ha770c72_0.tar.bz2”h+Œ c546401241ada2e042e65dd05c82b817”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-climate4r.udg-0.2.4-r40ha770c72_0.tar.bz2”h0Œ@45bbc8ba1d48361aa4b9bf101b3edf0e4ed65ac825148ede6e4d130489578316”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-loader.java”Œr-rcurl”Œr-rjava”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØª·záhEJâN hFˆubh)”}”(hŒ	r-turboem”h#Œ2021.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-turboem-2021.1-r42hc72bb7e_1.tar.bz2”h+Œ 90f81ec0d6d3c85368783b6239d8d472”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-turboem-2021.1-r42hc72bb7e_1.tar.bz2”h0Œ@b2098e68eb10b58f82fac520d8f89fa4b0f058f51ceaf0d93c9312e81dcdf2be”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-doparallel”Œ	r-foreach”Œr-iterators”Œ
r-numderiv”Œ
r-quantreg”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓItÙ‡hEJú¶ hFˆubh)”}”(hŒlibudev-cos6-x86_64”h#Œ147”h%Œhdf0574f_1102”h'MNhhh(h)hŒ-libudev-cos6-x86_64-147-hdf0574f_1102.tar.bz2”h+Œ 9dd5c66570e00b1d47bfb414ad1b2e8e”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libudev-cos6-x86_64-147-hdf0574f_1102.tar.bz2”h0Œ@3be8256e3357598280f2c9c4d142bd779ba134998e444878be6598ee73ff28ef”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å+V?¾whEMáŒhFˆubh)”}”(hŒr-cvar”h#Œ0.5”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ r-cvar-0.5-r42hc72bb7e_0.tar.bz2”h+Œ b4e226bbb2f8becf4d38bf400cd37a76”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-cvar-0.5-r42hc72bb7e_0.tar.bz2”h0Œ@b307ee37388936e054ed60d9d3665a60232d279753d8d65225939f52e58a89a2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-gbutils”Œr-rdpack >=0.8”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÝ|ÿí‘hEJSR hFˆubh)”}”(hŒlibxscrnsaver-cos7-ppc64le”h#Œ1.2.2”h%Œ
h1341992_0”h'K hhh(h)hŒ3libxscrnsaver-cos7-ppc64le-1.2.2-h1341992_0.tar.bz2”h+Œ b0411b62e357973247902683b99330f0”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-ppc64le-1.2.2-h1341992_0.tar.bz2”h0Œ@b736b04b8ec979f5da5ce25fd9a36efd9340927916c825149e970faaaf389c44”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×—d¼ÊñªhEMANhFˆubh)”}”(hŒxlrd”h#Œ1.2.0”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒxlrd-1.2.0-pyh9f0ad1d_1.tar.bz2”h+Œ b3d912b96a59c93fd0780c7bb28db7e8”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/xlrd-1.2.0-pyh9f0ad1d_1.tar.bz2”h0Œ@d00221cccfbe39b5fcd14344d6707abf94d8968d53f37acf514ff702213c0447”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause AND BSD-4-Clause”hBŒBSD”hDGA×Ç(Çò¬hEJ¼® hFˆubh)”}”(hŒr-sparql”h#Œ1.16”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ&r-sparql-1.16-r40hc72bb7e_1004.tar.bz2”h+Œ fbc6b95c0e5c38bfd804a574db5cb60f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparql-1.16-r40hc72bb7e_1004.tar.bz2”h0Œ@e90fa77a234a1b9c0ffa83ddcebc0f1dc04743b2c9862919d7f866af949befa3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rcurl”Œr-xml”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØt„‹…hEM$ÚhFˆubh)”}”(hŒr-ampliconduo”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-ampliconduo-1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 3e5132cd6a5fac5ba97981091ed99a9e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ampliconduo-1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@9862270ba1116e67d17444de94e7a989c3360993f50ee4c3833473f28d9ddecb”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-xtable”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÒª(&{hEJ4 	 hFˆubh)”}”(hŒr-censusapi”h#Œ0.8.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-censusapi-0.8.0-r42hc72bb7e_1.tar.bz2”h+Œ b25e7c64e3d91416f121c6b033924c5f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-censusapi-0.8.0-r42hc72bb7e_1.tar.bz2”h0Œ@b3070e0b349332d0e2b2e4e4d73b15e9d20cf5a951ce63582d271c24caeae942”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒœE”ZhEM—þhFˆubh)”}”(hŒpycaret”h#Œ2.3.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pycaret-2.3.10-pyhd8ed1ab_0.tar.bz2”h+Œ e98224b45b2162cc0bf8dc350a1fb8fb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pycaret-2.3.10-pyhd8ed1ab_0.tar.bz2”h0Œ@be9249b5ef81b18c5392968c2f79f5e6afe888eb7c889bdd07ad8d3ec66a8ff8”h2NhNh3(Œ	boruta_py”Œcufflinks-py >=0.17.0”Œgensim <4.0.0”Œimbalanced-learn 0.7.0”Œipython”Œ
ipywidgets”Œjoblib”Œkmodes >=0.10.1”Œlightgbm >=2.3.1”Œmatplotlib-base”Œmlflow”Œmlxtend >=0.17.0”Œnltk”Œnumba <0.55”Œnumpy”Œ	packaging”Œpandas”Œpandas-profiling >=2.8.0”Œplotly >=4.4.1”Œpyldavis”Œpyod”Œpython >=3.6”Œscikit-learn >=0.23,<=0.23.2”Œscikit-plot”Œscipy <=1.5.4”Œspacy <2.4.0”Œtextblob”Œ
umap-learn”Œ	wordcloud”Œyellowbrick >=1.0.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ—y-µp¤hEJ07 hFˆubh)”}”(hŒ
periodicgw”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#periodicgw-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0703faf8b14763b39d0c687eaf9d4360”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/periodicgw-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d75b7b68450b3a2a55c93cb46e40b636b992c06b6d212adedd3ab777d0d2fbca”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØs$nhEM‚:hFˆubh)”}”(hŒpdfme”h#Œ0.4.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!pdfme-0.4.11-pyhd8ed1ab_0.tar.bz2”h+Œ 6fb85df119baf67b62773a49d39d5da1”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pdfme-0.4.11-pyhd8ed1ab_0.tar.bz2”h0Œ@863ea6e29cc4172dedf090cb9ded6c52df964a487084ea751412f4b40aec988f”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ«á‡hEM)öhFˆubh)”}”(hŒquestionary”h#Œ1.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'questionary-1.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 360878a7fcb1d4aab3a05918be8b1397”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/questionary-1.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@cf835865b9f260dec8938a3ae1e228a250835b1cf3477ab739caacd70f70ac47”h2NhNh3Œprompt_toolkit >=2.0,<4.0”Œpython >=3.6,<3.10”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ<
Ñ5?hEMï`hFˆubh)”}”(hŒlibsepol-devel-cos6-x86_64”h#Œ2.0.41”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libsepol-devel-cos6-x86_64-2.0.41-h9b0a68f_105.tar.bz2”h+Œ baae7acd512b3e3594200b28d34828dc”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos6-x86_64-2.0.41-h9b0a68f_105.tar.bz2”h0Œ@f499008b7abdc45b84b599f8fef09dc5fb7006487b09b91e012f2c4af5693d2f”h2NhNh3Œ#libsepol-cos6-x86_64 ==2.0.41 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@W`êáHhEMá hFˆubh)”}”(hŒr-academictwitter”h#Œ0.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ-r-academictwitter-0.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 36a556b5e4c9cb3e80b3d65bab30e91d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-academictwitter-0.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@374f7b63024a5d7c7b3d6c628e8d9f0a6157bf0a03dc6ef1595eb95c83d790cd”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=1.0.0”Œr-httr”Œ
r-jsonlite”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ³£À“uhEJh$ hFˆubh)”}”(hŒr-assertive.sets”h#Œ0.0_3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ/r-assertive.sets-0.0_3-r41hc72bb7e_1003.tar.bz2”h+Œ f160660273afc4b46345fddb510dbdde”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.sets-0.0_3-r41hc72bb7e_1003.tar.bz2”h0Œ@baf8157e7df877d35189856ba58bb2f8163f6832609c3ea086121635c8d327b9”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*úÅ2ÀƒhEMý‹hFˆubh)”}”(hŒr-userfriendlyscience”h#Œ0.7.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ1r-userfriendlyscience-0.7.2-r40hc72bb7e_1.tar.bz2”h+Œ c50e71a5ccbc49fd6e56f2c9e2e2250b”h.Œ_https://conda.anaconda.org/conda-forge/noarch/r-userfriendlyscience-0.7.2-r40hc72bb7e_1.tar.bz2”h0Œ@8764ec65ba853bf92896629720c94f1d70997d3033f925981dcbdd9d0575121a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-biasedurn”Œr-car”Œr-data.tree”Œr-diagrammer”Œr-digest”Œ	r-diptest”Œr-ggally”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-ggridges”Œr-gparotation”Œr-gridextra”Œr-gtable”Œr-knitr”Œr-lavaan”Œr-lme4”Œr-mass”Œr-mbess”Œr-minpack.lm”Œr-pander”Œr-plyr”Œr-psych”Œr-pwr”Œr-rcolorbrewer”Œr-rio”Œr-scales”Œr-scrt”Œr-suppdists”Œr-ufs >=0.0.1”Œ	r-viridis”Œr-xml”Œr-xtable”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ,eW~ÙhEJA hFˆubh)”}”(hŒlibibmad-cos6-x86_64”h#Œ1.3.11”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libibmad-cos6-x86_64-1.3.11-h9b0a68f_105.tar.bz2”h+Œ ed66d32f02e32e5bd57f062a9b7879d1”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibmad-cos6-x86_64-1.3.11-h9b0a68f_105.tar.bz2”h0Œ@32a3f862b4606edec0b842d2d5a012abf3439462041992f0380e85794f300b7b”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ³ÿ«VVhEJT hFˆubh)”}”(hŒr-sizer”h#Œ0.1_8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-sizer-0.1_8-r42hc72bb7e_1.tar.bz2”h+Œ 94f7f0eddedcfe2a7ec88d63cfebf602”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-sizer-0.1_8-r42hc72bb7e_1.tar.bz2”h0Œ@30bbddef2dc0461b3ea4ed1a9d16c918ace6c8a0afa9f054598334b04eea8f70”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-dplyr”Œ	r-ggplot2”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒñõÒòhEJÈw hFˆubh)”}”(hŒibacm-cos6-x86_64”h#Œ1.0.9”h%Œha826a6f_103”h'Kghhh(h)hŒ,ibacm-cos6-x86_64-1.0.9-ha826a6f_103.tar.bz2”h+Œ deb44c88f1727f40ce0d92a0fbde3638”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos6-x86_64-1.0.9-ha826a6f_103.tar.bz2”h0Œ@8da644f972402310dd185253f6b4bbb047cd1c8d75f5f195861d7aada5ecd4e4”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,ž‹÷ÏhEJ hFˆubh)”}”(hŒoommfodt”h#Œ0.8.4”h%Œpy_1”h'Khhh(h)hŒoommfodt-0.8.4-py_1.tar.bz2”h+Œ 2e51d8387226149e27782cc1fc8711e0”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/oommfodt-0.8.4-py_1.tar.bz2”h0Œ@b06c4eae58c68cf58ece3ca37875f9a4d01a745a2afd833049328936accb018b”h2NhNh3(Œnumpy”Œpandas”Œpytest”Œpython >=3.6”t”h9h?h@ŒBSD 3-clause”hBŒBSD”hDGA×›E®ÙhEMZLhFˆubh)”}”(hŒlibice-cos7-aarch64”h#Œ1.0.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libice-cos7-aarch64-1.0.9-h9b0a68f_105.tar.bz2”h+Œ 80a94dfe75397e7eb45da625e0dd1bd9”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libice-cos7-aarch64-1.0.9-h9b0a68f_105.tar.bz2”h0Œ@c541c113ce90458c1b694b4bbfc8efdbef1c8fb17a1f3bda6fa1c51ddb4847ce”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@WhÒÀƒhEJ1  hFˆubh)”}”(hŒp11-kit-trust-cos7-ppc64le”h#Œ0.23.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ7p11-kit-trust-cos7-ppc64le-0.23.5-ha826a6f_1103.tar.bz2”h+Œ 575611447384505640c91aeb4fc97cd2”h.Œehttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-ppc64le-0.23.5-ha826a6f_1103.tar.bz2”h0Œ@7f80a6deccc702822598057c5bc249e3617b5ed3c9e5b206f91107378628a8e0”h2NhNh3Œ$p11-kit-cos7-ppc64le ==0.23.5 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ1úu¡ËhEJ¦r hFˆubh)”}”(hŒr-ggalt”h#Œ0.4.0”h%Œr42ha770c72_3”h'Khhh(h)hŒ#r-ggalt-0.4.0-r42ha770c72_3.tar.bz2”h+Œ c22a783490b1eb8763478dffd8efb70a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggalt-0.4.0-r42ha770c72_3.tar.bz2”h0Œ@2317c67abf19da37a9da8ec0e7ef00d9c55463adad1cdf3696b7e4054833defe”h2NhNh3(Œr-ash”Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-extrafont”Œr-ggplot2 >=2.2.1”Œr-gtable”Œr-kernsmooth”Œr-maps”Œr-mass”Œr-plotly >=3.4.1”Œr-proj4”Œr-rcolorbrewer”Œr-scales”Œr-tibble”t”h9hºh@ŒAGPL”hBŒAGPL”hDGAØÒw£2ÐåhEJ»W$ hFˆubh)”}”(hŒr-riverplot”h#Œ0.10”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-riverplot-0.10-r36hc72bb7e_0.tar.bz2”h+Œ 2e74a03515175f3514ab8f8d5e54495b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-riverplot-0.10-r36hc72bb7e_0.tar.bz2”h0Œ@95a56449599334a258af4ee4441aaa80cc688141891d5018e50caf9c71c8235e”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rcolorbrewer”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØžo9XhEJØ› hFˆubh)”}”(hŒr-slippymath”h#Œ0.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-slippymath-0.3.1-r42hc72bb7e_2.tar.bz2”h+Œ 091a905632b10070855616c2a5c979c7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-slippymath-0.3.1-r42hc72bb7e_2.tar.bz2”h0Œ@ccd50814a6db726836570bd2a3dfc2f51dfef18922b382a2898db5897bbcae0f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-png”Œr-purrr”Œr-raster”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑF§ú=qhEJvç" hFˆubh)”}”(hŒpgsanity”h#Œ0.2.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pgsanity-0.2.9-pyhd8ed1ab_0.tar.bz2”h+Œ 9028c9b055707daba005b78f11f84ab0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pgsanity-0.2.9-pyhd8ed1ab_0.tar.bz2”h0Œ@ba90bc68caac17dad3f3451faf2215251552930ae026f162205bd70d04466439”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ
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flask-oidc”h#Œ1.4.0”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ%flask-oidc-1.4.0-pyhd8ed1ab_3.tar.bz2”h+Œ 82ff84ab8f18439aece61ecbbddccf45”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/flask-oidc-1.4.0-pyhd8ed1ab_3.tar.bz2”h0Œ@d03d29b209436c4ac945a82561ecd8cbf2e0e1e2ab0009f5f1c5ea18caee63ec”h2NhNh3(Œflask”Œitsdangerous”Œoauth2client”Œpython >=3.6”Œsix”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØz±¯ùÛhEM´DhFˆubh)”}”(hŒ	r-sparktf”h#Œ0.1.0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ%r-sparktf-0.1.0-r36h6115d3f_2.tar.bz2”h+Œ 9fa7b25ada9f8f9fe8940d039700cd13”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sparktf-0.1.0-r36h6115d3f_2.tar.bz2”h0Œ@d98ae6ce74641aebe4a9dff3a5ac959c2fb2da038c8cc58e8446e02d961ff37e”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-sparklyr >=1.0”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×¬Jð<›¦hEM.qhFˆubh)”}”(hŒlibice-devel-cos7-aarch64”h#Œ1.0.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libice-devel-cos7-aarch64-1.0.9-h9b0a68f_1105.tar.bz2”h+Œ c2210ca69d22b0a3573d2b7f7bc5b3db”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-aarch64-1.0.9-h9b0a68f_1105.tar.bz2”h0Œ@47dd961c67d7eb42b15cc72bc2c0edb735e3f8276f0a7cf6087d726bd87b7a22”h2NhNh3Œ"libice-cos7-aarch64 ==1.0.9 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@·[t¼hEMhFˆubh)”}”(hŒr-medicalrisk”h#Œ1.3”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-medicalrisk-1.3-r40hc72bb7e_1.tar.bz2”h+Œ caa9c9d2f1af3b392cd7ecf37a73b947”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-medicalrisk-1.3-r40hc72bb7e_1.tar.bz2”h0Œ@f409e9951496cbc0762ffbeb50fe101194270df014bf645ab4b79dad0edffa27”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-hash”Œr-plyr >=1.5”Œ
r-reshape2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+<úr°hEJ_Ó hFˆubh)”}”(hŒfabric3”h#Œ
1.14.post1”h%Œpy_0”h'K hhh(h)hŒfabric3-1.14.post1-py_0.tar.bz2”h+Œ ac9f7d32bc659a085d4ac4f78dd66a88”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/fabric3-1.14.post1-py_0.tar.bz2”h0Œ@3442d50a72ccb9097156c0f63940fc5a7b60799b04aca306db1fdd54c7aad235”h2NhNh3Œparamiko >=2.0,<3.0”Œpython”Œsix >=1.10.0”‡”h9h?h@ŒBSD 2-Clause”hBŒBSD”hEJ~ hFˆubh)”}”(hŒmetanetx-assets”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒ"metanetx-assets-0.2.1-py_0.tar.bz2”h+Œ 6e3eb5db1306a43d46518396532ef560”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/metanetx-assets-0.2.1-py_0.tar.bz2”h0Œ@67357c0c75462fa28844091c82b74fb084cd1d54b10d3f87a5b9bd3a4d582370”h2NhNh3(Œclick”Œ	click-log”Œcobra-component-models”Œdepinfo”Œhttpx”Œpandas”Œpydantic”Œ	pyparsing”Œpython >=3.8”Œ
sqlalchemy”Œtqdm”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×©¥
=hEM UhFˆubh)”}”(hŒdxfile”h#Œ0.5”h%Œpy_1”h'Khhh(h)hŒdxfile-0.5-py_1.tar.bz2”h+Œ 9b914da0e858600596b13262f7cd420e”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/dxfile-0.5-py_1.tar.bz2”h0Œ@02cce7e7c720e396547a0e8387068f389008e30921a529b21c7a7389e3d159dc”h2NhNh3Œh5py”Œpython”†”h9h?h@ŒBSD 3-Clause”hDGAÖÿrÜøA‰hEMî)hFˆubh)”}”(hŒr-pubmedwordcloud”h#Œ0.3.6”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ-r-pubmedwordcloud-0.3.6-r41hc72bb7e_2.tar.bz2”h+Œ 804dc37d75d47cecc9da79fbb0139f3e”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-pubmedwordcloud-0.3.6-r41hc72bb7e_2.tar.bz2”h0Œ@68edc5dbf087b53ff6c8dba01c727bfcf0c50c36bc0e9f7be22a81b2ddbe8088”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-rcolorbrewer”Œr-rcurl”Œ	r-stringr”Œr-tm”Œr-wordcloud”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÒ0XZ-hEMSÅhFˆubh)”}”(hŒalsa-lib-cos6-x86_64”h#Œ1.1.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0alsa-lib-cos6-x86_64-1.1.0-h9d98e8f_1104.tar.bz2”h+Œ 9ba96dfa2882c78727a1c22a4c6e9129”h.Œ^https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos6-x86_64-1.1.0-h9d98e8f_1104.tar.bz2”h0Œ@f5bc69b1a37e4cdefa0eb11463eff231951fae7ff5d35b85ad0236b6531bb141”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éz®áº^hEJ×¸ hFˆubh)”}”(hŒtypes-pyjwt”h#Œ1.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&types-pyjwt-1.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9fd1cc438847ed2476f29cebf29c1d36”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/types-pyjwt-1.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@40f39c4b5261dd4f930b080444223257fcc7f3730d01223ef18d34b803293308”h2NhNh3Œpython >=3.6”Œtypes-cryptography”†”h9h?h@ŒApache-2.0 AND MIT”hDGAØ4#íB=qhEM‹1hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpyhd8ed1ab_12”h'Khhh(h)hŒ-fenics-dijitso-2019.1.0-pyhd8ed1ab_12.tar.bz2”h+Œ 9ec15b20dffbd014c8ca19874418acb8”h.Œ[https://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-pyhd8ed1ab_12.tar.bz2”h0Œ@4ab962b5848ae775847ef30dc48c9d7f52c3853e2f48c1ec158d8a631033beb8”h2NhNh3Œnumpy”Œpython >=3.5”Œ
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jsonschema”h#Œ3.2.0”h%Œpy_2”h'Khhh(h)hŒjsonschema-3.2.0-py_2.tar.bz2”h+Œ a17aa962de6145d08e1008cb37c20161”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/jsonschema-3.2.0-py_2.tar.bz2”h0Œ@7787844ea11031cf1fc9cf8bc7ed9e897790e61c2e78f01d4e410ac22235a7e9”h2NhNh3(Œattrs >=17.4.0”Œimportlib_metadata”Œpyrsistent >=0.14.0”Œpython >=3.6”Œ
setuptools”Œsix >=1.11.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×á@8ïl‹hEM¼³hFˆubh)”}”(hŒ	r-remotes”h#Œ2.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-remotes-2.4.2-r42hc72bb7e_1.tar.bz2”h+Œ 0903d50eefc5d6abf805d904a33534fd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-remotes-2.4.2-r42hc72bb7e_1.tar.bz2”h0Œ@10c9f0bd9a435f97bc48b56ca794d583e1390c99dcfa3771809bcaf2da149575”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐHéO|îhEJX hFˆubh)”}”(hŒr-fabricatr”h#Œ1.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-fabricatr-1.0.0-r42hc72bb7e_1.tar.bz2”h+Œ 87ffe6ee7237c619f392a8f3294f2bde”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fabricatr-1.0.0-r42hc72bb7e_1.tar.bz2”h0Œ@6c00debe1d6f639bee8afbd47925050f986b5bea6694eba3fa9d3454f2ff1e86”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rlang >=1.0.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ³ÔÈ´hEJ`f hFˆubh)”}”(hŒ	pyjanitor”h#Œ0.23.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyjanitor-0.23.1-pyhd8ed1ab_0.tar.bz2”h+Œ a611c26e0e1278938b42ed231f1d57cc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyjanitor-0.23.1-pyhd8ed1ab_0.tar.bz2”h0Œ@8acea666055147c259261fb04acb3eb621d1d7d5af2c3e393a997f4c56288d44”h2NhNh3(Œmultipledispatch”Œnatsort”Œpandas”Œpandas-flavor”Œpython >=3.6”Œrequests”Œscikit-learn”Œscipy”Œxarray”Œxlrd”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÓgÇ)%hEJë– hFˆubh)”}”(hŒnss-cos7-aarch64”h#Œ3.44.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ,nss-cos7-aarch64-3.44.0-h9d98e8f_104.tar.bz2”h+Œ 5e07cf2c880b800f4e072b21f136eb38”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos7-aarch64-3.44.0-h9d98e8f_104.tar.bz2”h0Œ@374f0d9509207c9d7b178caa91a13286154a9a3ddd46f2772e4d23e6f22c1f89”h2NhNh3Œ nspr-cos7-aarch64 >=4.21.0 *_104”Œ'nss-softokn-cos7-aarch64 >=3.44.0 *_104”Œ$nss-util-cos7-aarch64 >=3.44.0 *_104”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É~6K¶FhEJ^ð hFˆubh)”}”(hŒlibxext-cos7-x86_64”h#Œ1.3.3”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libxext-cos7-x86_64-1.3.3-hdf0574f_1102.tar.bz2”h+Œ b1bd425041d8b84355d4653f6f4d041f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-x86_64-1.3.3-hdf0574f_1102.tar.bz2”h0Œ@eff570658e5410f7f1a43c2f34deb38a49ad1be8fc17d01eb560d3dea83de753”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+·³Æ¨hEMQ“hFˆubh)”}”(hŒnapari”h#Œ0.4.17”h%Œpyh92c539f_0_pyside2”h'K hhh(h)hŒ*napari-0.4.17-pyh92c539f_0_pyside2.tar.bz2”h+Œ bcc8a1e7221a1dc4d1d07eadcbed1ec2”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/napari-0.4.17-pyh92c539f_0_pyside2.tar.bz2”h0Œ@8f3a7741ab75f51e6f27b1f04cf0cd4fd95517620edbe9252dda864c524da464”h2NhNh3(Œapp-model >=0.0.8,<0.3.0a”Œappdirs >=1.4.4”Œcachey >=0.2.1”Œcertifi >=2020.6.20”Œdask >=2.15.0,!=2.28.0”Œfsspec”Œ!imageio >=2.5.0,!=2.11.0,!=2.22.1”Œjsonschema >=3.2.0”Œmagicgui >=0.3.6”Œnapari-console >=0.0.6”Œnapari-plugin-engine >=0.1.9”Œnapari-svg >=0.1.6”Œnpe2 >=0.5.2”Œnumpy >=1.18.5”Œnumpydoc >=0.9.2”Œpandas >=1.3.0”Œpillow !=7.1.0,!=7.1.1”Œpint >=0.17”Œpooch >=1.3.0”Œpsutil >=5.0”Œpsygnal >=0.3.4”Œpydantic >=1.9.0”Œpygments >=2.4.0”Œpyopengl >=3.1.0”Œpyside2 >=5.13.2,!=5.15.0”Œpython >=3.8,<3.11.0a0”Œpyyaml >=5.1”Œqtpy >=1.10.0”Œscikit-image >=0.19.1”Œscipy >=1.5.4”Œ	sphinx <5”Œsuperqt >=0.3.0”Œtifffile >=2020.2.16”Œtoolz >=0.10.0”Œtqdm >=4.56.0”Œtyping_extensions”Œvispy >=0.11.0,<0.12.0a”Œwrapt >=1.11.1”Œzarr”t”jy Œnapari_pyside2”…”h9h?h@ŒBSD-3-Clause AND MIT”hDGAØÛ…Hß;hEJH¶ hFˆubh)”}”(hŒlibxdamage-devel-cos7-aarch64”h#Œ1.1.4”h%Œ
h1341992_0”h'K hhh(h)hŒ6libxdamage-devel-cos7-aarch64-1.1.4-h1341992_0.tar.bz2”h+Œ 36a14024d35a3327c2141392fba801bc”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-aarch64-1.1.4-h1341992_0.tar.bz2”h0Œ@1620006f0b96d3588093230ab0463b90c49ca1b6b15e540a38fce21addf87a1f”h2NhNh3Œ(libxdamage-cos7-aarch64 1.1.4 h1341992_0”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ZFñçmhEMŒhFˆubh)”}”(hŒcairo-devel-cos7-aarch64”h#Œ1.15.12”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6cairo-devel-cos7-aarch64-1.15.12-h9d98e8f_1104.tar.bz2”h+Œ 0e8cd69a3686cd46efa87735254ae23e”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-aarch64-1.15.12-h9d98e8f_1104.tar.bz2”h0Œ@37fd8811b89079a93672728ab91ec0ae32591ae443b537413c34a857eb436e15”h2NhNh3Œ#cairo-cos7-aarch64 ==1.15.12 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×É}Kæ$ÝhEJ0Ç hFˆubh)”}”(hŒpytest-lazy-fixture”h#Œ0.6.3”h%Œpy_0”h'K hhh(h)hŒ&pytest-lazy-fixture-0.6.3-py_0.tar.bz2”h+Œ f6e376c2fa72ab59502c37d33c672556”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pytest-lazy-fixture-0.6.3-py_0.tar.bz2”h0Œ@023f2b95e1b3f8a5c90046682173dd9ac079dc7034afe7a494d6529dd5a019f8”h2NhNh3Œpytest >=3.2.5”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×rK"ÑhEMIhFˆubh)”}”(hŒr-gpfit”h#Œ1.0_8”h%Œr36h6115d3f_1”h'Khhh(h)hŒ#r-gpfit-1.0_8-r36h6115d3f_1.tar.bz2”h+Œ 7ee5aae2b3036d552f9874e7a73d41d3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gpfit-1.0_8-r36h6115d3f_1.tar.bz2”h0Œ@f0621f357f663b02fbc4e7589b16135f42974d457fc692341f46f70cfb7982fa”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-lattice >=0.18_8”Œr-lhs >=0.5”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«øûƒhEJ_ hFˆubh)”}”(hŒ	r-plumber”h#Œ1.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-plumber-1.2.1-r40hc72bb7e_0.tar.bz2”h+Œ a3ce7baa3c079c9ee16e0d5b04763e45”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-plumber-1.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@d22e4bd36d8c4672421abb5c103927e59369f98a19c4447620c1cf8434c63661”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-ellipsis >=0.3.0”Œr-httpuv >=1.5.0”Œr-jsonlite >=0.9.16”Œr-lifecycle >=0.2.0”Œ
r-magrittr”Œr-mime”Œr-promises >=1.1.0”Œr-r6 >=2.0.0”Œr-rlang”Œr-sodium”Œr-stringi >=0.3.0”Œr-swagger >=3.33.0”Œr-webutils >=1.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÅöÐ™hshEJIÊ hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpyhd8ed1ab_15”h'Khhh(h)hŒ*fenics-fiat-2019.1.0-pyhd8ed1ab_15.tar.bz2”h+Œ 08611b0c73168685d0043dd4bbd7781b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-pyhd8ed1ab_15.tar.bz2”h0Œ@146d991f9a7f823c46a85be1570d0cb6bdbabf7dd7298df08255569f2f177f62”h2NhNh3(Œnumpy”Œpython >=3.5”Œ
setuptools”Œ	sympy >=1”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×ø‚éH  hEJ.3 hFˆubh)”}”(hŒlibx11-common-cos7-aarch64”h#Œ1.6.7”h%Œha826a6f_103”h'Kghhh(h)hŒ5libx11-common-cos7-aarch64-1.6.7-ha826a6f_103.tar.bz2”h+Œ cff75c735410e16e483cbf654c50b691”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-aarch64-1.6.7-ha826a6f_103.tar.bz2”h0Œ@d4abb55861ef4e3d549de909324d5e124c54e20c7ad4463fa9a6a9929b5ed060”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/8Å¡ËhEJj- hFˆubh)”}”(hŒrb-rouge”h#Œ3.11.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ"rb-rouge-3.11.0-hc42de5b_0.tar.bz2”h+Œ d5880b6a4e2aba68ead014e827501a02”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-rouge-3.11.0-hc42de5b_0.tar.bz2”h0Œ@5f5d14adf8f2f076a31f2194170d5cacfbf9c510d0554dfadf21a09ad4f7b058”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×`[{ß;hEJ[» hFˆubh)”}”(hŒlibx11-devel-cos7-ppc64le”h#Œ1.6.7”h%Œh1795305_101”h'Kehhh(h)hŒ4libx11-devel-cos7-ppc64le-1.6.7-h1795305_101.tar.bz2”h+Œ caa4096e01ac0b2094fe1ff286ed6996”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-ppc64le-1.6.7-h1795305_101.tar.bz2”h0Œ@c67a1f267c0546fcd07e8d413ec8a71d9bb1b7a3e747da96f41fc231ccbd2962”h2NhNh3Œlibx11-cos7-ppc64le 1.6.7”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅŠ¶¸RhEJr^ hFˆubh)”}”(hŒnss-softokn-freebl-cos7-aarch64”h#Œ3.44.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ<nss-softokn-freebl-cos7-aarch64-3.44.0-h9b0a68f_1105.tar.bz2”h+Œ e75515edcdfc9a89c307c284afa04634”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-aarch64-3.44.0-h9b0a68f_1105.tar.bz2”h0Œ@a278c135b1a31526fc8149930fbd1835eb110c2e8f72331cced2c9f3bebb2de8”h2NhNh3Œ!nspr-cos7-aarch64 >=4.21.0 *_1105”Œ%nss-util-cos7-aarch64 >=3.44.0 *_1105”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@»"ÑhEJH hFˆubh)”}”(hŒnumactl-libs-cos7-aarch64”h#Œ2.0.12”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5numactl-libs-cos7-aarch64-2.0.12-h9b0a68f_105.tar.bz2”h+Œ 6342ecc75bd77b7cbb7acaf7fd9692a3”h.Œchttps://conda.anaconda.org/conda-forge/noarch/numactl-libs-cos7-aarch64-2.0.12-h9b0a68f_105.tar.bz2”h0Œ@a60aa98205c405116be239c709246caf3c433247b894305418bb8ef32e396efa”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2 and GPLv2”hBŒGPL2”hDGAØ@VDaÛ#hEMÝ¥hFˆubh)”}”(hŒr-hive”h#Œ0.2_2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-hive-0.2_2-r41hc72bb7e_2.tar.bz2”h+Œ bba1bfdd9109783fa5c46437e0e83308”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-hive-0.2_2-r41hc72bb7e_2.tar.bz2”h0Œ@f5aaff93e123f8356c4c90e0d711db5a733245d4eab7b242b1732fd85554eaeb”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava >=0.9_3”Œr-xml”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒij¡Û#hEJ¼ hFˆubh)”}”(hŒ	pyppeteer”h#Œ1.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pyppeteer-1.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 80d3da234230a6b57e9e3af0eab400e6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyppeteer-1.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@8d1e1bc27fa7cedcfa282328efb67381cb2603d9c68e57d73a6930910b9bf87b”h2NhNh3(Œappdirs >=1.4.3,<2.0.0”Œcertifi >=2021”Œimportlib-metadata >=1.4”Œpyee >=8.1.0,<9.0.0”Œpython >=3.7”Œtqdm >=4.42.1,<5.0.0”Œurllib3 >=1.25.8,<2.0.0”Œwebsockets >=10.0,<11.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ|pp©7LhEMúhFˆubh)”}”(hŒ
r-sombrero”h#Œ1.4_1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-sombrero-1.4_1-r41hc72bb7e_1.tar.bz2”h+Œ a5e153fb3e5a5bb4c42429e07bbae4f3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sombrero-1.4_1-r41hc72bb7e_1.tar.bz2”h0Œ@787ed26a4233a4c18cfc1982deedc36f9760cf21883aaf82bb5c383dd1ee6da9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-ggwordcloud”Œr-igraph >=1.0”Œr-interp”Œ
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Apache-2.0”hBŒApache”hDGAØ£9lshEJ hFˆubh)”}”(hŒr-irr”h#Œ0.84.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-irr-0.84.1-r36h6115d3f_1.tar.bz2”h+Œ 07334046d8d1ad81f262cdea06ef4cbe”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-irr-0.84.1-r36h6115d3f_1.tar.bz2”h0Œ@2f30d1db4cab548f9158f27f5c432c367601a538f657d22aa9c7949f91e69ffe”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-lpsolve”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Læ5 ÔþhEJØ• hFˆubh)”}”(hŒ	r-rtensor”h#Œ1.4.8”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-rtensor-1.4.8-r40hc72bb7e_1.tar.bz2”h+Œ b3dda7b1f219a247cb10ff150e505bf5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rtensor-1.4.8-r40hc72bb7e_1.tar.bz2”h0Œ@020649c601ce00f211920613286ce01a469ec6fad288bd48f6359dee491a43f8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØtÂªÆ‡+hEJÀš hFˆubh)”}”(hŒr-fit.models”h#Œ0.64”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-fit.models-0.64-r36h6115d3f_0.tar.bz2”h+Œ 80a282f29735baebe5a654d0eff0b871”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fit.models-0.64-r36h6115d3f_0.tar.bz2”h0Œ@40f199032053ff54c56fa8e0184af74bb5ca70d182490658556d017e6d0a9fac”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-lattice”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGA×É¸¶ß\)hEJ…C hFˆubh)”}”(hŒr-mvnormtest”h#Œ0.1_9”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ+r-mvnormtest-0.1_9-r41hc72bb7e_1003.tar.bz2”h+Œ 77601589297fb6413d26c008fcd024f5”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-mvnormtest-0.1_9-r41hc72bb7e_1003.tar.bz2”h0Œ@2c8d773477a02df922c20470d94b7a9c0ff241300f01f26c111d73357aa2fd62”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGAØ+Pž‡+hEMÓohFˆubh)”}”(hŒr-inline”h#Œ0.3.19”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-inline-0.3.19-r41hc72bb7e_0.tar.bz2”h+Œ 599a40f844bef26b6a6b61432de001b4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-inline-0.3.19-r41hc72bb7e_0.tar.bz2”h0Œ@df183a9760ec03bb9e019676eab66c75768903d3793adf989a4575b8c6098cb4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ-4š¬hEJ‘? hFˆubh)”}”(hŒcclib”h#Œ1.7.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ cclib-1.7.2-pyhd8ed1ab_0.tar.bz2”h+Œ 23841f9a2f2ef9eeb022dafc5e65f27a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/cclib-1.7.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d8876d354cf9fb272a010787d71aa0d1772fff7769aa72b3d89f7c29f71482a0”h2NhNh3(Œ	biopython”Œnumpy”Œpackaging >=19.0”Œpandas”Œperiodictable”Œpython >=3.6”Œscipy >=1.2.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¸øƒhEJix hFˆubh)”}”(hŒr-glmnetutils”h#Œ1.1.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-glmnetutils-1.1.8-r41hc72bb7e_0.tar.bz2”h+Œ 895e020203ba38f58076f1584fc25c1c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-glmnetutils-1.1.8-r41hc72bb7e_0.tar.bz2”h0Œ@78820c672fa0e4e93ae032318b0ffc7f3f73d1665a6cfdb4db7d2b61b4458dd3”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-glmnet”Œr-matrix”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+GbjŸ¾hEJ.Ý hFˆubh)”}”(hŒ
r-seasonal”h#Œ1.9.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-seasonal-1.9.0-r42hc72bb7e_1.tar.bz2”h+Œ 3ed4a2f621e7815846fbdcfbf991e49f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-seasonal-1.9.0-r42hc72bb7e_1.tar.bz2”h0Œ@308d8a41d99cf4b92fdff16d52d8cb77b34f669880d4c9b9b60f742cab0141d3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-x13binary”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒÂ"°!hEJ¤Ó hFˆubh)”}”(hŒr-shinyhelper”h#Œ0.3.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-shinyhelper-0.3.2-r36h6115d3f_0.tar.bz2”h+Œ 7431f7544d0d4dbc1f2f44bd73af0e04”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinyhelper-0.3.2-r36h6115d3f_0.tar.bz2”h0Œ@c12cfe2f1025e26f30ad0b36a3467db5e7b2ec4cace3c48cf39661311840e477”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-markdown”Œr-shiny”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×q³øù&éhEJé® hFˆubh)”}”(hŒ
r-gitcreds”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-gitcreds-0.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 4f3b28f5a9fa1e5185681201581ce6a5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gitcreds-0.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@7dbebf39e0533fbd74bfa2ccead0b3eacbf4a75427f83759edd20e552e25efeb”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÆ„VÑë…hEJ; hFˆubh)”}”(hŒlibnl3-cos6-x86_64”h#Œ3.2.21”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libnl3-cos6-x86_64-3.2.21-ha826a6f_1103.tar.bz2”h+Œ 5bb76b6e112d6b11ce47c78cb488b5cd”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libnl3-cos6-x86_64-3.2.21-ha826a6f_1103.tar.bz2”h0Œ@783609b59045969c754a4eaec33ce944b0e067fad44b6968af7ea4762f8c44bc”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×È,¯ÅhEJP\ hFˆubh)”}”(hŒr-ineq”h#Œ0.2_13”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ&r-ineq-0.2_13-r42hc72bb7e_1003.tar.bz2”h+Œ f22304dc4748760e426c7fcba718b7d4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ineq-0.2_13-r42hc72bb7e_1003.tar.bz2”h0Œ@ca4cfffa4c3a0ffecf2e9a115d812c6a32a291b85b4ba817b54d0c1d878c227d”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÒa!/|îhEJä¢ hFˆubh)”}”(hŒflask-graphql”h#Œ2.0.1”h%Œpyh9f0ad1d_2”h'Khhh(h)hŒ(flask-graphql-2.0.1-pyh9f0ad1d_2.tar.bz2”h+Œ 0be044539216a5e295b65742247d83b8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flask-graphql-2.0.1-pyh9f0ad1d_2.tar.bz2”h0Œ@9016ca64cb4c11cffe1c588a71467e175c224dc642b32580d7c118b96cec450f”h2NhNh3(Œflask >=0.7.0”Œgraphql-core >=2.1,<3.0.0a0”Œ"graphql-server-core >=1.1,<2.0.0a0”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×®R:Æ‡+hEM'hFˆubh)”}”(hŒr-ebayesthresh”h#Œ1.4_12”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ.r-ebayesthresh-1.4_12-r42hc72bb7e_1004.tar.bz2”h+Œ fd763d02f1eafa1ac295442ba0160bb2”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-ebayesthresh-1.4_12-r42hc72bb7e_1004.tar.bz2”h0Œ@1161abac1f24c06c218f8da822ff8ed28c0910b4f52219ad2d3304ab2acabdaf”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-wavethresh”†”h9hºh@Œ
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pygraphviz”Œpython >=3.6”Œ
sqlalchemy”‡”h9h?h@Œ
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r-moonbook”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-moonbook-0.3.1-r41hc72bb7e_0.tar.bz2”h+Œ ea6490af5900063bf939cd5dca73c5e1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-moonbook-0.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@4517d7b241e10e2451a8b5de3f9c82dc1365c969330ffe31779ab2fd63938692”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
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r-survival”Œr-ztable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØu\EZ=qhEJÉì hFˆubh)”}”(hŒiso-639”h#Œ0.4.5”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"iso-639-0.4.5-pyhd3deb0d_0.tar.bz2”h+Œ 757a48a1204e8a80036d8849ac3a30cb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/iso-639-0.4.5-pyhd3deb0d_0.tar.bz2”h0Œ@4b101c0d59e57d7cbdcb5ffcbfc8dd297949e9ab68ad0e2c1b719a90c3505bd2”h2NhNh3Œpython”…”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGA×úå£ˆÔþhEJOª hFˆubh)”}”(hŒjupyterlab_heroku”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒ$jupyterlab_heroku-0.2.1-py_0.tar.bz2”h+Œ 7226493f6bdf7cae419344f4035a1973”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_heroku-0.2.1-py_0.tar.bz2”h0Œ@3c32cfa32a4b085281da8bcb9b57cb0ef5d89dcd44aabd8e784b5932310a5e71”h2NhNh3Œ
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r-numderiv”Œr-rsolnp”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑœSÛ×
hEJˆ
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r-plotluck”h#Œ1.1.1”h%Œr36h6115d3f_2”h'Khhh(h)hŒ&r-plotluck-1.1.1-r36h6115d3f_2.tar.bz2”h+Œ 61b1a1b7aa3c96a4d8224c764de4a8cb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plotluck-1.1.1-r36h6115d3f_2.tar.bz2”h0Œ@db2cb710aefb731636221ef88d1ee2e4dcc6f9a9437acfe92e9fb39b74d019ef”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=2.2.0”Œr-hexbin >=1.27.1”Œr-hmisc >=3.17.4”Œr-plyr >=1.8.4”Œr-quantreg >=5.26”Œr-rcolorbrewer >=1.1.2”Œr-scales >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬—÷–E¢hEJUÐ hFˆubh)”}”(hŒr-rebus.unicode”h#Œ0.0_2”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ.r-rebus.unicode-0.0_2-r36h6115d3f_1001.tar.bz2”h+Œ 31320e96cdc0ad1734efc8d159ca5a5b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rebus.unicode-0.0_2-r36h6115d3f_1001.tar.bz2”h0Œ@e22ef29b86769fa76887e32117eb6d2a27062629c96847e797f51bd0f770966f”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rebus.base >=0.0_2”†”h9hºh@Œ	Unlimited”hBŒMIT”hDGA×L`ƒùhshEJ±c hFˆubh)”}”(hŒ	r-debugme”h#Œ1.1.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-debugme-1.1.0-r36h6115d3f_1002.tar.bz2”h+Œ ac8a386fcd8dbdfca051507add439c87”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-debugme-1.1.0-r36h6115d3f_1002.tar.bz2”h0Œ@060e1bbd733a6e2c503aa1ea8ded0dea980bfc17d7c3156a56124ce99d4fc9b1”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-crayon”†”h9hºh@ŒMIT”hBŒMIT”hDGA×K­Fü(öhEJo» hFˆubh)”}”(hŒipynb-py-convert”h#Œ0.4.6”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ+ipynb-py-convert-0.4.6-pyh9f0ad1d_0.tar.bz2”h+Œ 30d423476d114ec3c635e6916ed7a827”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/ipynb-py-convert-0.4.6-pyh9f0ad1d_0.tar.bz2”h0Œ@6e2b875d8fedce81d5b3a336cd59c28ad2b2d3c42099587375aa1d56b4fb95e5”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ÈQ‚ø  hEMŽhFˆubh)”}”(hŒlibsoup-cos6-x86_64”h#Œ2.34.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libsoup-cos6-x86_64-2.34.3-h9d98e8f_1104.tar.bz2”h+Œ 3411784a4a959271d66ab186a9b88db0”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsoup-cos6-x86_64-2.34.3-h9d98e8f_1104.tar.bz2”h0Œ@2f10863b5473e526f74b6354cc46d2bf9431e6a47b1fecc261ddcd0c1a36af49”h2NhNh3Œ,glib-networking-cos6-x86_64 >=2.27.90 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É|´ÔþhEJ hFˆubh)”}”(hŒcopy-jdk-configs-cos6-x86_64”h#Œ3.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5copy-jdk-configs-cos6-x86_64-3.3-h9b0a68f_105.tar.bz2”h+Œ 32831406a0c82a583fe1d2937d6c5cff”h.Œchttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos6-x86_64-3.3-h9b0a68f_105.tar.bz2”h0Œ@b8ff9c4f0ae8327d5fabf00acabb3c77b4003ed4d951d6bf926473888046c21f”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@V	ÄœhEMz&hFˆubh)”}”(hŒr-mopa”h#Œ1.0.2”h%Œr40ha770c72_0”h'K hhh(h)hŒ"r-mopa-1.0.2-r40ha770c72_0.tar.bz2”h+Œ a97de98375df35ea5c385a7bd4c6a203”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mopa-1.0.2-r40ha770c72_0.tar.bz2”h0Œ@6076331a709b748aa424bbc2fd5bf4c0181c408fd9a21aa0a45644aca61699d6”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-dismo”Œr-e1071”Œr-earth”Œr-gtools”Œ	r-lattice”Œr-presenceabsence”Œr-randomforest”Œr-ranger”Œr-raster”Œr-rpart”Œ
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scisweeper”h#Œ0.0.2”h%Œpy_1”h'Khhh(h)hŒscisweeper-0.0.2-py_1.tar.bz2”h+Œ b0b781fb738f0bbeace2319d7e4e2761”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/scisweeper-0.0.2-py_1.tar.bz2”h0Œ@2b5f677ed98a80555f9da8134e90308762860cbdaebc0a33cc9c1b0c443705de”h2NhNh3(Œh5io”Œnumpy”Œpandas”Œpyfileindex”Œpysqa >=0.0.3”Œpython”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Y¤H‡+hEMN)hFˆubh)”}”(hŒalsa-lib-devel-cos7-aarch64”h#Œ1.1.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ7alsa-lib-devel-cos7-aarch64-1.1.8-ha826a6f_1103.tar.bz2”h+Œ ed0d113673ba38c88029e0627109fc85”h.Œehttps://conda.anaconda.org/conda-forge/noarch/alsa-lib-devel-cos7-aarch64-1.1.8-ha826a6f_1103.tar.bz2”h0Œ@017e50e1824a690436c743430a951c3d49442511ad280d3f26fd82adeb9edfe0”h2NhNh3Œ$alsa-lib-cos7-aarch64 ==1.1.8 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{ü&ùÛhEJ]™ hFˆubh)”}”(hŒcloud-functions-utils”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0cloud-functions-utils-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9d77cc16e17c470bd6dbbb5e5164740f”h.Œ^https://conda.anaconda.org/conda-forge/noarch/cloud-functions-utils-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b5470f2382954bc25d2224cd236a7bb9b7b60b187f59d747dd5fb4d35c9f5c85”h2NhNh3(Œ!google-cloud-bigquery >=1.24,<2.0”Œ'google-cloud-error-reporting >=1.3,<2.0”Œgoogle-cloud-pubsub >=1.4,<2.0”Œ google-cloud-storage >=1.28,<2.0”Œpython >=3.6,<4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ|ÄYòJhEMP&hFˆubh)”}”(hŒattrs”h#Œ18.1.0”h%Œpy_1”h'Khhh(h)hŒattrs-18.1.0-py_1.tar.bz2”h+Œ 1ec21b5460744e21e7d2947bd3a095f4”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/attrs-18.1.0-py_1.tar.bz2”h0Œ@b96d860814f60f56401e9c07865a4e691ca5aa5998bab069198e234d94f9faab”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÅü»81'hEMÇbhFˆubh)”}”(hŒpango-cos7-aarch64”h#Œ1.42.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/pango-cos7-aarch64-1.42.4-hdf0574f_1102.tar.bz2”h+Œ 7abe077102601133f5060013a19a1f37”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pango-cos7-aarch64-1.42.4-hdf0574f_1102.tar.bz2”h0Œ@6dd535e253aef6788a6baf265349b7fc481d6126bb4b86b8084f83c5b31bbb4a”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅiM¸hEJyM hFˆubh)”}”(hŒ
r-varselrf”h#Œ0.7_8”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ)r-varselrf-0.7_8-r36h6115d3f_1001.tar.bz2”h+Œ 98e76a74af8158fe39ea9b3e15383c73”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varselrf-0.7_8-r36h6115d3f_1001.tar.bz2”h0Œ@dd564406fd64bc8cb01ec2eec25db32b2fb917dfe82ddbeb3a34334bfe0f28f1”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-randomforest”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Lœ
ª¬hEJïî hFˆubh)”}”(hŒexcels2vensim”h#Œ0.13.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)excels2vensim-0.13.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4bdfd51027b449a48d7b05850e1702ae”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/excels2vensim-0.13.1-pyhd8ed1ab_0.tar.bz2”h0Œ@62f30a68d5ea743cac0dc196a8ae323100a79afc0884df0b9016761c6c9e36b1”h2NhNh3Œ
pysd >=3.0”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÉß¡ÿß;hEMShFˆubh)”}”(hŒr-assertive.data.uk”h#Œ0.0_2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ/r-assertive.data.uk-0.0_2-r36h6115d3f_1.tar.bz2”h+Œ c06bb7b92f37c4bce26a0bdeb17b3f92”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.uk-0.0_2-r36h6115d3f_1.tar.bz2”h0Œ@c6ed8f944ca0cd8f082abcfbbd7a36341aa702675d7586ff960ee789eca6f3ba”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=3.6,<3.7.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LWdbJhEMfÓhFˆubh)”}”(hŒ	crashtest”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$crashtest-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 709a2295dd907bb34afb57d54320642f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/crashtest-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@2f05954a3faf0700c14c1deddc085385160ee32abe111699c78d9cb277e915cc”h2NhNh3Œpython >=3.6,<4.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØØáâD1hEM±'hFˆubh)”}”(hŒr-pwr”h#Œ1.3_0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ!r-pwr-1.3_0-r35h6115d3f_0.tar.bz2”h+Œ 32c25b6965f9510b41aafa8baf63b484”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pwr-1.3_0-r35h6115d3f_0.tar.bz2”h0Œ@adf3a911e6a862e622db6a724fc1c628d605e1f53883de5f2c49df16f6f82d07”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×œ1¬§¾whEJ¢® hFˆubh)”}”(hŒr-gbrd”h#Œ0.4_11”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ'r-gbrd-0.4_11-r351h6115d3f_1000.tar.bz2”h+Œ 51228b7927a2be31fd3f68b917bd5ef0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gbrd-0.4_11-r351h6115d3f_1000.tar.bz2”h0Œ@227a2292721df29e5ecef13edfe6d8b94d8a8859cafdd9c811a59cbf33172b66”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖü¤®Æ‡+hEM½hFˆubh)”}”(hŒ
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r-seqminer”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØkÚà€ÔþhEJo hFˆubh)”}”(hŒnss-util-cos7-aarch64”h#Œ3.44.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ2nss-util-cos7-aarch64-3.44.0-ha826a6f_1103.tar.bz2”h+Œ ecdba60421b5bb903c7da755c3d09633”h.Œ`https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-aarch64-3.44.0-ha826a6f_1103.tar.bz2”h0Œ@b459c9271679862ec1e51cc9f3136d5eb943b7b871eb6cf68527a451ef8f092c”h2NhNh3Œ!nspr-cos7-aarch64 >=4.21.0 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ0Óm²-hEJµN hFˆubh)”}”(hŒr-sessioninfo”h#Œ1.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-sessioninfo-1.2.2-r42hc72bb7e_1.tar.bz2”h+Œ ad6770f1169c240336328a8a58c6e0cc”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-sessioninfo-1.2.2-r42hc72bb7e_1.tar.bz2”h0Œ@5c3052addc59fcfa4de4b98f113bf241a505414176d89c000c709a3b3ebf074f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-withr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ—§(  hEJ0 hFˆubh)”}”(hŒ
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r-pheatmap”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L¿c%VhEJ»ú hFˆubh)”}”(hŒr-rebird”h#Œ1.3.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-rebird-1.3.0-r40hc72bb7e_0.tar.bz2”h+Œ e5f6c6526fbf3756b3fb33857485cece”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rebird-1.3.0-r40hc72bb7e_0.tar.bz2”h0Œ@27d12a5552b03095d3a392d82c48265404f1aeb0dc7a49afc4dce9af0acdd10e”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-httr >=1.0.0”Œ
r-jsonlite”t”h9hºh@ŒMIT”hBŒMIT”hDGAØRÛáÛ#hEJïs	 hFˆubh)”}”(hŒrb-jekyll-swiss”h#Œ1.0.0”h%Œ
hc42de5b_1”h'Khhh(h)hŒ(rb-jekyll-swiss-1.0.0-hc42de5b_1.tar.bz2”h+Œ 3501117d8846023e18413103ce546167”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-swiss-1.0.0-hc42de5b_1.tar.bz2”h0Œ@b906825705303315fbc83ae94027aed5a4352c0583a18ec2863a78645f6ef7a1”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×[^^È´hEM³thFˆubh)”}”(hŒlibxml2-cos6-x86_64”h#Œ2.7.6”h%Œha826a6f_103”h'Kghhh(h)hŒ.libxml2-cos6-x86_64-2.7.6-ha826a6f_103.tar.bz2”h+Œ 37481d134432584cbe71a79279c2552f”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxml2-cos6-x86_64-2.7.6-ha826a6f_103.tar.bz2”h0Œ@c2ca939e98e826cb6010385dea208141a90e6a31e9d3f1012649a4100fa6c80c”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/9ŽVhEJ%q hFˆubh)”}”(hŒr-ggrandomforests”h#Œ2.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ-r-ggrandomforests-2.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 63466bfd42f2ad84002d124d757b7820”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-ggrandomforests-2.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@1fedd9e2e765bde60113d640cff1ec06b70eba022f5f498a8dcc3dae95b0b6b7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-randomforest”Œr-randomforestsrc >=1.5.5”Œ
r-survival”Œr-tidyr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒó&VhEJáñ hFˆubh)”}”(hŒ libxscrnsaver-devel-cos7-aarch64”h#Œ1.2.2”h%Œha826a6f_103”h'Kghhh(h)hŒ;libxscrnsaver-devel-cos7-aarch64-1.2.2-ha826a6f_103.tar.bz2”h+Œ 6f6f7e48e66aab667a57efaf4c820089”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-aarch64-1.2.2-ha826a6f_103.tar.bz2”h0Œ@e276851430fb4c7e82404bb13e933ca9836b928fa615c4723a1d1515d7924316”h2NhNh3Œ(libxscrnsaver-cos7-aarch64 ==1.2.2 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0kráHhEM£5hFˆubh)”}”(hŒr-xmisc”h#Œ0.2.1”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ&r-xmisc-0.2.1-r40h6115d3f_1002.tar.bz2”h+Œ 799b2d98c983a4ccd9bda263121af9d9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xmisc-0.2.1-r40h6115d3f_1002.tar.bz2”h0Œ@1a43c6f3e655a6c03a7f79f9a94c9beb452fa487b6a0f089707a05fb4bd68e96”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬%`&VhEJ†Y hFˆubh)”}”(hŒr-celestial”h#Œ1.4.6”h%Œr35h6115d3f_1”h'Khhh(h)hŒ'r-celestial-1.4.6-r35h6115d3f_1.tar.bz2”h+Œ 04428aeb76eb75b6d069382584e332bb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-celestial-1.4.6-r35h6115d3f_1.tar.bz2”h0Œ@115d448fcb922e056d7b5417ebf2de74af977990bb10a944046963bf7f18fbc0”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-nistunits”Œr-pracma”Œr-rann”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LŽL˜ ÅhEJeØ hFˆubh)”}”(hŒr-distillery”h#Œ1.2_1”h%Œr40h785f33e_0”h'K hhh(h)hŒ(r-distillery-1.2_1-r40h785f33e_0.tar.bz2”h+Œ 3abce270fe6a1da1049a5fa5b80dd997”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-distillery-1.2_1-r40h785f33e_0.tar.bz2”h0Œ@4f21d28917c4c630f4610a2481aec3ae80f8950990822929a89cdb44810b7696”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ)ÏV†vÉhEJ hFˆubh)”}”(hŒr-simplecache”h#Œ0.4.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ)r-simplecache-0.4.2-r36hc72bb7e_0.tar.bz2”h+Œ e7a039a549549b4d39dda4cc51811094”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-simplecache-0.4.2-r36hc72bb7e_0.tar.bz2”h0Œ@b45b49aeb079badf5ed16c8a83f2e57b2ebb1c134a171f0be0807d4525af1391”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒBSD-2-clause”hBŒBSD”hDGAØŸÄå?}hEJn hFˆubh)”}”(hŒlibibmad-cos7-ppc64le”h#Œ1.3.13”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1libibmad-cos7-ppc64le-1.3.13-h9b0a68f_105.tar.bz2”h+Œ eae15864fa16fb46fbd09d80e94966d2”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibmad-cos7-ppc64le-1.3.13-h9b0a68f_105.tar.bz2”h0Œ@f101e243cf1f406cc6e1eadb2235488038b4abc85ee0b9091783e9cc81fd7d20”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ³ÿ½¸hEJ) hFˆubh)”}”(hŒ	r-zeallot”h#Œ0.1.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-zeallot-0.1.0-r41hc72bb7e_1003.tar.bz2”h+Œ 1c1bad63420af2d77ff13d94756e3108”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-zeallot-0.1.0-r41hc72bb7e_1003.tar.bz2”h0Œ@cab7a8cbd57a5b49bcfbdf854de76110da6af11393ec029031e4da677f8182d6”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØs‡ŠDí‘hEM¢ûhFˆubh)”}”(hŒpciutils-cos7-aarch64”h#Œ3.5.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ1pciutils-cos7-aarch64-3.5.1-ha826a6f_1103.tar.bz2”h+Œ 0ed4a9ef1a9d086a1f36177368a9554d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/pciutils-cos7-aarch64-3.5.1-ha826a6f_1103.tar.bz2”h0Œ@6d72714dfb24360dfb0773dd7cc414f314807070299ed5a89d807b59b208ffef”h2NhNh3Œ)pciutils-libs-cos7-aarch64 ==3.5.1 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ{¶‰º^hEJI^ hFˆubh)”}”(hŒ	r-rccmisc”h#Œ0.3.7”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ(r-rccmisc-0.3.7-r41hc72bb7e_1002.tar.bz2”h+Œ 88c0432f88f32b4c796972865fcbf398”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rccmisc-0.3.7-r41hc72bb7e_1002.tar.bz2”h0Œ@5c21eefdf7c9031f982ffc1231a4b247f333e1b00167a06cbba63e52c70cab46”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-dplyr”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+“êòÀƒhEJ»\ hFˆubh)”}”(hŒodc-dscache”h#Œ0.2.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ&odc-dscache-0.2.2-pyhd8ed1ab_1.tar.bz2”h+Œ 87dff3e6690d0b98df147c945fc40b6b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/odc-dscache-0.2.2-pyhd8ed1ab_1.tar.bz2”h0Œ@e9279fc702191933ec1e1f47ce20304178757bab4c0fe0157e59dc5cf34e32c4”h2NhNh3(Œclick”Œdatacube”Œpandas”Œpsycopg2”Œpython >=3.6”Œpython-lmdb”Œtoolz”Œ	zstandard”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÕãž>¸RhEM„}hFˆubh)”}”(hŒr-dictionar6”h#Œ0.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-dictionar6-0.1.3-r41hc72bb7e_1.tar.bz2”h+Œ 0325e098ed3875c961b1ba5de6dfe573”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dictionar6-0.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@e3bc69c77ec515b6ab8cacb4e2e6ab59bb47fd4bc1edda1407b25bb5aa57dfea”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ooplah”Œr-r6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐâvàQìhEJ½q hFˆubh)”}”(hŒrever”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ rever-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 279a0f5cf514d6e293b836550c045b06”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rever-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@539ba7cba5740ab37718bcb7f00a2a9308d42526f6dac6d13f59e47bfc1ed5ae”h2NhNh3(Œ
github3.py”Œlazyasd”Œpython >=3.0”Œruamel.yaml”Œxonsh >=0.9.23”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÎ½ÆÙhEM	ÚhFˆubh)”}”(hŒ
r-lfactors”h#Œ1.0.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-lfactors-1.0.4-r42hc72bb7e_1.tar.bz2”h+Œ 0fa83685be53063f311392d6cb9979bd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lfactors-1.0.4-r42hc72bb7e_1.tar.bz2”h0Œ@bb2ec8be09feb028f6e905606ad46a364247c2aa9ef933471c95569bcff9ceb9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ¢tå`hEJ" hFˆubh)”}”(hŒdsc”h#Œ0.4.3.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ dsc-0.4.3.5-pyhd8ed1ab_0.tar.bz2”h+Œ 487d6ad6923ffaaf47984dc60abebd4d”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dsc-0.4.3.5-pyhd8ed1ab_0.tar.bz2”h0Œ@d708006b2e48c269d6a5dddac1c3f8d654e6db6f260543e87a8d98933e1a1ab6”h2NhNh3(Œh5py”Œmsgpack-python”Œnumexpr”Œnumpy”Œpandas >=0.24.1”Œptable”Œpyarrow >=0.5.0”Œpython >=3.6”Œsos >=0.19.7”Œsos-pbs >=0.19.6”Œ
sqlalchemy”Œsympy”Œtzlocal”t”h9h?h@ŒMIT”hBŒMIT”hDGAØw+¥ãhEJ hFˆubh)”}”(hŒlibibcm-devel-cos6-x86_64”h#Œ1.0.5”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libibcm-devel-cos6-x86_64-1.0.5-h9b0a68f_105.tar.bz2”h+Œ adfb22268ec80ab05ae8926f6e488954”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libibcm-devel-cos6-x86_64-1.0.5-h9b0a68f_105.tar.bz2”h0Œ@d7717525a58b079a756ed43d68010dbbfef2cc49849967502bf31a0a57ebc0b9”h2NhNh3Œ!libibcm-cos6-x86_64 ==1.0.5 *_105”Œ(libibverbs-devel-cos6-x86_64 >=1.1 *_105”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@Z±éyhEM¼GhFˆubh)”}”(hŒr-keys”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-keys-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 0ab2287a42e4182cc89a844ef5bb2842”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-keys-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@b21ea33a94faef311f6448e405daccf2d59baaa49d3309ca3b5fc745727a901e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œ
r-jsonlite”Œr-shiny”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØwÆ¼XQìhEJ´S hFˆubh)”}”(hŒr-tidygeocoder”h#Œ1.0.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-tidygeocoder-1.0.5-r40hc72bb7e_0.tar.bz2”h+Œ 60134b477e3f0922e179dccfba2e5f6a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-tidygeocoder-1.0.5-r40hc72bb7e_0.tar.bz2”h0Œ@d378bcf6a931199b0bf624bd63d3f08ead4d3135d2191ee47e1a461939710efe”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œr-lifecycle”Œ
r-progress”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ`¡;X£×hEJGÀ hFˆubh)”}”(hŒr-babynames”h#Œ1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-babynames-1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ c79a837376eca6d93440f45082fb8014”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-babynames-1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@0de4b18c8023916b8718add596bf6941f8b4c9b9bde6263d4830205f4ab5bf81”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÒ©¢Ÿ¾hEJ‚HU hFˆubh)”}”(hŒr-rfoc”h#Œ3.4_6”h%Œr36h6115d3f_2”h'Khhh(h)hŒ"r-rfoc-3.4_6-r36h6115d3f_2.tar.bz2”h+Œ 31ad8942293c32b23f047e0aaffebc80”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rfoc-3.4_6-r36h6115d3f_2.tar.bz2”h0Œ@256d90ba341d7aeb40a0078ea1b9a5383cf64250b8b1368f9c0cf0dbdc0d7b25”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-geomap”Œr-mass”Œr-rpmg”Œr-rseis”Œ	r-splancs”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬_2?¾whEJµ4
 hFˆubh)”}”(hŒr-tfestimators”h#Œ1.9.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-tfestimators-1.9.2-r40hc72bb7e_0.tar.bz2”h+Œ 267ddd57f0683751a76f66dd855536a6”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-tfestimators-1.9.2-r40hc72bb7e_0.tar.bz2”h0Œ@4779925eff11b960eda56214f692bf894e02175ac247172ce60687e3c5ea9cd1”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-forge”Œ
r-magrittr”Œ
r-progress”Œr-purrr”Œr-reticulate >=1.10”Œr-rlang >=0.3”Œr-tensorflow >=1.9”Œr-tfruns >=1.1”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØDt¢ÀƒhEJè%
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GPL (>= 3)”hBŒGPL3”hDGA×«öQ‰7hEJXá hFˆubh)”}”(hŒ	orca_test”h#Œ0.1.0”h%Œpy_0”h'K hhh(h)hŒorca_test-0.1.0-py_0.tar.bz2”h+Œ 4ce548486d6868081a9a5483c17a5d7f”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/orca_test-0.1.0-py_0.tar.bz2”h0Œ@0ed47056000c0b256fe52d68845414f6c8d7f5edf16980b0f06a2a70d391a426”h2NhNh3(Œnumpy >=1.0”Œorca >=1.3.0”Œpandas >=0.12”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×i‘·ß;hEMÙ'hFˆubh)”}”(hŒthrift_sasl”h#Œ0.4.3”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ&thrift_sasl-0.4.3-pyhd8ed1ab_2.tar.bz2”h+Œ 0340a97c4990a5bb5ecf1a27fef9f9c3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/thrift_sasl-0.4.3-pyhd8ed1ab_2.tar.bz2”h0Œ@2c7e662ba88a4de84a689b54fa8b4060b2772567739f060bbe055acb35f95334”h2NhNh3(Œpure-sasl >=0.6.2”Œpython >=3.6”Œsix >=1.13.0”Œthrift >=0.10.0”t”h9h?h@Œ
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python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGA×x xå`hEM‚hFˆubh)”}”(hŒlibselinux-devel-cos7-aarch64”h#Œ2.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6libselinux-devel-cos7-aarch64-2.5-hdf0574f_102.tar.bz2”h+Œ 30c32f071dbc1818864a426c7ad38f1b”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-aarch64-2.5-hdf0574f_102.tar.bz2”h0Œ@ea274406b5f5a05a7ccf367698e1275c95463c470ca40c62af7855a7eb566187”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Å*ñ;dhEJ] hFˆubh)”}”(hŒhttpauth”h#Œ0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!httpauth-0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 1430e171684a10381abc73b89170eba9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/httpauth-0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@97f513d98d7cb355fd1edc053a50a86a8e326853898439be44487507b7decf30”h2NhNh3Œpython >=2.7”…”h9h?h@ŒISC”hDGAØ¡4	sdZhEM®hFˆubh)”}”(hŒqredis”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!qredis-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3765d4c1c658489aff3a646a006228c0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/qredis-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4daa3f31c7898127e1f9a1b0a54d382814b7c6ee9a482cb99d255f1a44f9674b”h2NhNh3(Œmsgpack-numpy”Œmsgpack-python”Œpyqt >=5”Œpython >=3.5”Œqtpy >=2”Œredis-py”t”h9h?h@ŒMIT”hBŒMIT”hDGAØAò~úhEJ·; hFˆubh)”}”(hŒr-varfrompdb”h#Œ2.2.10”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-varfrompdb-2.2.10-r42hc72bb7e_1.tar.bz2”h+Œ 5be655177da0644871bae898afddb74d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varfrompdb-2.2.10-r42hc72bb7e_1.tar.bz2”h0Œ@709a159e94aa08f8fd53bd2f70371fe9c462e9bbc92395ba45ad0139c5a1a020”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-rismed”Œ	r-stringi”Œ	r-stringr”Œr-xml”Œr-xml2r”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑÌsU/hEJ´ hFˆubh)”}”(hŒr-rpmm”h#Œ1.25”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ$r-rpmm-1.25-r40h6115d3f_1002.tar.bz2”h+Œ beb73f15ea051e73e1feb25498bfc239”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rpmm-1.25-r40h6115d3f_1002.tar.bz2”h0Œ@b177fea363f958982d206015e325a69d855f0a26f72c4993f6e959cd71d62440”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬@Ÿ×
=hEJ	‹ hFˆubh)”}”(hŒ
linecache2”h#Œ1.0.0”h%Œpy_1”h'Khhh(h)hŒlinecache2-1.0.0-py_1.tar.bz2”h+Œ 6b370c22aa1f8cdaaf6d43621eab94dc”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/linecache2-1.0.0-py_1.tar.bz2”h0Œ@6d4b2f0e892fad456be1caf5fa73c33bc9110e05910bb928c0f009c6a76a5bff”h2NhNh3Œpython”…”h9h?h@ŒPSF 1.0”hDGAÖíN¶VhEM®2hFˆubh)”}”(hŒexpat-devel-cos6-x86_64”h#Œ2.0.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3expat-devel-cos6-x86_64-2.0.1-hdf0574f_1102.tar.bz2”h+Œ 75e26a0777c2dc7dae3ac634b8d0632b”h.Œahttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos6-x86_64-2.0.1-hdf0574f_1102.tar.bz2”h0Œ@dcdf78b434b458a132378074c4733afd9a6c73cdda9c3bab6a2d6d75e97ef7bf”h2NhNh3Œ expat-cos6-x86_64 ==2.0.1 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅáÜj¬hEJ» hFˆubh)”}”(hŒ
nbexamples”h#Œ0.3.1”h%Œpy_1”h'Khhh(h)hŒnbexamples-0.3.1-py_1.tar.bz2”h+Œ 111529b9ab514efcf2c00396f25ff597”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/nbexamples-0.3.1-py_1.tar.bz2”h0Œ@81dca0713bdeddbea026c583cc854b07cf69dab961583df855b537f9e37847a8”h2NhNh3(Œ	nbconvert”Œnbformat”Œnotebook >=4.2.0”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖíèv*¬hEM¹/hFˆubh)”}”(hŒr-plotmo”h#Œ3.6.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-plotmo-3.6.2-r41hc72bb7e_0.tar.bz2”h+Œ 1364ceb19e334c98138bc4d41b8d5959”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-plotmo-3.6.2-r41hc72bb7e_0.tar.bz2”h0Œ@b1626e2d7046827348bd4cfd29de8ef5ec4757cfba4886d1e4e15087cb1db7c0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-formula >=1.2_3”Œ	r-plotrix”Œr-teachingdemos”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ§vVE¢hEJK hFˆubh)”}”(hŒqhub”h#Œ0.4.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒqhub-0.4.5-pyhd8ed1ab_0.tar.bz2”h+Œ 33d61a2afef3fb3a77be9d1fe23a15af”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/qhub-0.4.5-pyhd8ed1ab_0.tar.bz2”h0Œ@cadce3dec8cd6562d3be646f7210af6fb011bfa789050a76551e05475d172c1c”h2NhNh3(Œauth0-python”Œazure-identity 1.6.1”Œ"azure-mgmt-containerservice 16.2.0”Œbcrypt”Œboto3”Œ
cloudflare”Œgitignore-parser 0.0.8”Œimportlib_metadata”Œpydantic”Œpynacl”Œpython >=3.8,<4.0”Œpython-keycloak”Œpython-kubernetes”Œquestionary”Œ!requests-toolbelt <0.10.0,>=0.9.1”Œrich”Œruamel.yaml”Œtyper”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÒÅHë"ÑhEJ¸o hFˆubh)”}”(hŒcairo-devel-cos7-aarch64”h#Œ1.15.12”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6cairo-devel-cos7-aarch64-1.15.12-hdf0574f_1102.tar.bz2”h+Œ 1be657572f99654c7263dfbb80085748”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-aarch64-1.15.12-hdf0574f_1102.tar.bz2”h0Œ@d16c7ea43e5de771856f4975ee70eaa59ee127ab11b2f8c8cef8370e226a7141”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×ÅiS˜A‰hEJÂ hFˆubh)”}”(hŒjupyros”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"jupyros-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ b464048a5fc16632ac939021dd342261”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/jupyros-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1b13b36c79ec8a902ef120eb1ae20b6110bbaf945fd4c0abffa3cbf2bb06b8a3”h2NhNh3(Œbqplot”Œ	ipycanvas”Œipywidgets >=7.7.2,<8.0”Œnotebook”Œnumpy”Œpython >=3.7”Œrospkg”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÈÆ£?ÎÙhEJ¸%. hFˆubh)”}”(hŒpybytebuffer”h#Œ1.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pybytebuffer-1.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 4a254394dfc1167299d311e8b9fdfbf7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pybytebuffer-1.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@6167d9da48044d3fa2bef9576cdaf4c2ae91164c15bff63b8ddbd0cd0fba8ec7”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÑ”5?hEMd#hFˆubh)”}”(hŒr-geem”h#Œ0.10.1”h%Œr351h6115d3f_0”h'K hhh(h)hŒ$r-geem-0.10.1-r351h6115d3f_0.tar.bz2”h+Œ 77728b9c007852caaf9c074b6c981a37”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-geem-0.10.1-r351h6115d3f_0.tar.bz2”h0Œ@6388d0609b6749d31cfaa843dd8ff4862c061c27acd79aa6bcc85f92241456c9”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-matrix”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×'\hEJm€ hFˆubh)”}”(hŒr-anylib”h#Œ1.0.5”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-anylib-1.0.5-r36hc72bb7e_0.tar.bz2”h+Œ 738bdd0857f99d7bc9f128afcc7519ed”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-anylib-1.0.5-r36hc72bb7e_0.tar.bz2”h0Œ@08bd4bdba8f62af42d873c36b02e434ecba0b9826ae075426b47e8acaf5894c7”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-biocmanager”Œr-curl”Œ
r-devtools”Œr-httr”Œr-withr”t”h9hºh@ŒCC-BY-NC-SA-4.0”hBŒCC”hDGAØ/D¾ž{hEM7jhFˆubh)”}”(hŒlibnl3-devel-cos7-x86_64”h#Œ3.2.28”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libnl3-devel-cos7-x86_64-3.2.28-h9b0a68f_1105.tar.bz2”h+Œ e483c4f5125a2f1b95e9dce0621bb382”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos7-x86_64-3.2.28-h9b0a68f_1105.tar.bz2”h0Œ@36b438f0e7a4d2a0cd2db365a3f16ebcb75b306e1abad2c5b8fe6eb48e3ed171”h2NhNh3Œ&libnl3-cli-cos7-x86_64 ==3.2.28 *_1105”Œ"libnl3-cos7-x86_64 ==3.2.28 *_1105”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@nÔ¡7LhEM‘àhFˆubh)”}”(hŒ
pyhamcrest”h#Œ2.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyhamcrest-2.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 13c3bc3d9c4f61734737735b62dbee27”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyhamcrest-2.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@52a53daf975f8bdb643f6a2166726ad0872a0e0a980633c8ae228dd3972a7525”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÊ¯„jÐåhEMH°hFˆubh)”}”(hŒlibglvnd-gles-cos7-ppc64le”h#Œ1.0.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libglvnd-gles-cos7-ppc64le-1.0.1-h9d98e8f_104.tar.bz2”h+Œ 20d65fd0db2cdf34b0e0e5c6c1f0b10c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libglvnd-gles-cos7-ppc64le-1.0.1-h9d98e8f_104.tar.bz2”h0Œ@bf23fbf32c9b8337f172f3142d36c0fa5b1303a19bf3bfb7b480a3248e990534”h2NhNh3Œ#libglvnd-cos7-ppc64le ==1.0.1 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ59NUOßhEM·hFˆubh)”}”(hŒrb-kramdown”h#Œ1.17.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ%rb-kramdown-1.17.0-hc42de5b_0.tar.bz2”h+Œ e659647c0b758ffdf1ccfce17ad349ed”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/rb-kramdown-1.17.0-hc42de5b_0.tar.bz2”h0Œ@cbfb02acc202e0f03910dcbba36a784a6efeb75f3a42a7469bb77dcc2d50b784”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Y¼!‰%hEJA¨ hFˆubh)”}”(hŒr-patpro”h#Œ1.1.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ'r-patpro-1.1.0-r35h6115d3f_1002.tar.bz2”h+Œ b4d1b937be6f50173365313c8131bab9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-patpro-1.1.0-r35h6115d3f_1002.tar.bz2”h0Œ@09a9eea18e9f0ea4d016de86c78ccc41306d867c781e63c3ca2aadb3f99220fc”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÉÞýVhEJäñ hFˆubh)”}”(hŒwheel-inspect”h#Œ1.7.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(wheel-inspect-1.7.1-pyhd8ed1ab_0.tar.bz2”h+Œ eb7b8d566ffa9e88eeb72051b38d939f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/wheel-inspect-1.7.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d36e2d21086a54885f6a0ba612fc7d3abc1d9094fff7e49018f7824cbcb87dbd”h2NhNh3(Œattrs >=18.1”Œentry-points-txt >=0.1.0”Œheaderparser >=0.4.0”Œpackaging >=17.1”Œpython >=3.6”Œreadme_renderer >=24.0”Œwheel-filename >=1.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ”ÔâñªhEJ² hFˆubh)”}”(hŒ	waveorder”h#Œ1.0.0rc0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'waveorder-1.0.0rc0-pyhd8ed1ab_0.tar.bz2”h+Œ e94d4b11bd7587a58a9bab908cf40cbd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/waveorder-1.0.0rc0-pyhd8ed1ab_0.tar.bz2”h0Œ@88400355fa5dfa2723fd50e2429a3e8cd4227f12bbdeb8a541e3bcc1bf069bd1”h2NhNh3(Œipywidgets >=7.5.1”Œmatplotlib-base >=3.1.1”Œnatsort >=7.1.1”Œnumpy >=1.17.4”Œopencv >=3.4.1”Œpycromanager >=0.13.2”Œpython >=3.7”Œpywavelets >=1.1.1”Œscipy >=1.3.0”Œtifffile >=2021.11.2”Œzarr >=2.6.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÅ£¿Ó"ÑhEJ! hFˆubh)”}”(hŒlibxext-devel-cos6-x86_64”h#Œ1.3.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libxext-devel-cos6-x86_64-1.3.3-h9b0a68f_1105.tar.bz2”h+Œ 226c3dacd6eac32dbea18841041f84dc”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos6-x86_64-1.3.3-h9b0a68f_1105.tar.bz2”h0Œ@d6da69b430975ca1ffae066780dc841e0a92595acc05ab4e4e2fc31a78ac6948”h2NhNh3Œ"libxext-cos6-x86_64 ==1.3.3 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@^Õ‡ïžhEJ+ hFˆubh)”}”(hŒr-drc”h#Œ3.0_1”h%Œr42ha770c72_1004”h'Mìhhh(h)hŒ$r-drc-3.0_1-r42ha770c72_1004.tar.bz2”h+Œ 180d5d60f29f66a41fdddb13f407e59f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-drc-3.0_1-r42ha770c72_1004.tar.bz2”h0Œ@670a25435473d12d015df7bbf29d2a24bf2fa50f7bc75a8f88f863bc1ff73d3b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œr-gtools”Œr-mass”Œ
r-multcomp”Œ	r-plotrix”Œr-scales”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÓ`2×
hEJ6M hFˆubh)”}”(hŒrfc3986”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"rfc3986-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ ee18e8644b953e8900282b2ef2a8c5a1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rfc3986-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ba27ce701f043d1281ca015f2c58850c384435da0effc698e131891c2067a1f0”h2NhNh3Œpython >=3.4”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ%u ÔþhEMí„hFˆubh)”}”(hŒramscube”h#Œ1.0.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#ramscube-1.0.1-pyh9f0ad1d_0.tar.bz2”h+Œ 19de2f317394062b6b1d1636c97a4d08”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ramscube-1.0.1-pyh9f0ad1d_0.tar.bz2”h0Œ@f36f94a0118e0daa727cde7eb8c6294a6f08f9e3bc94cdf75560935a9b7c81d5”h2NhNh3(Œcf_units”Œiris”Œnumpy”Œpython”Œscipy”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¶¨a 1'hEMø*hFˆubh)”}”(hŒunidic-lite”h#Œ1.0.8”h%Œpyh44b312d_0”h'K hhh(h)hŒ&unidic-lite-1.0.8-pyh44b312d_0.tar.bz2”h+Œ 51111a26ce815bcaaa4b8803c8206e17”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/unidic-lite-1.0.8-pyh44b312d_0.tar.bz2”h0Œ@5e2dc3e78da6b8b4b788ba6359debc52b63934250df6b41c358b78c64022ecf3”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ	[:|(öhEJ*šhFˆubh)”}”(hŒlibibcm-devel-cos6-x86_64”h#Œ1.0.5”h%Œh2da7399_1100”h'MLhhh(h)hŒ5libibcm-devel-cos6-x86_64-1.0.5-h2da7399_1100.tar.bz2”h+Œ 3ccd891a0641dacc540c89224151c5fe”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libibcm-devel-cos6-x86_64-1.0.5-h2da7399_1100.tar.bz2”h0Œ@9e242cdcee9236f92f249a374b55a2274538dd343adae216df5f302cd49cd46c”h2NhNh3Œlibibcm-cos6-x86_64 1.0.5”Œ"libibverbs-devel-cos6-x86_64 >=1.1”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Äš í‘hEM.DhFˆubh)”}”(hŒmesa-libgbm-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5mesa-libgbm-cos7-ppc64le-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ 307f10cad7b76345bd76fb5aad1b7e98”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libgbm-cos7-ppc64le-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@413784df2d323feb6254e7d0b64bdf6855f7896e16a2d00f3a1a8cb15c672977”h2NhNh3Œ#libdrm-cos7-ppc64le >=2.4.83 *_1105”Œ*mesa-libglapi-cos7-ppc64le ==18.3.4 *_1105”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œ;¤ýôhEMª„hFˆubh)”}”(hŒr-tsfeatures”h#Œ1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-tsfeatures-1.1-r41hc72bb7e_0.tar.bz2”h+Œ 2b1cfe72de436ca472851377ffaeeb64”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tsfeatures-1.1-r41hc72bb7e_0.tar.bz2”h0Œ@73c862fd62febf1a7dd4d7e2eb1d58d7870af8b3175ef1c656c01493ed902f4d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-forecast >=8.3”Œ
r-fracdiff”Œr-furrr”Œr-future”Œr-purrr”Œr-rcpproll >=0.2.2”Œr-tibble”Œ	r-tseries”Œr-urca”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÐIë…hEJŽ© hFˆubh)”}”(hŒase”h#Œ3.19.0”h%Œpy_0”h'K hhh(h)hŒase-3.19.0-py_0.tar.bz2”h+Œ ef67a54b23da25b286e0175e56b54b34”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/ase-3.19.0-py_0.tar.bz2”h0Œ@da8423c52b3f30081c007ac21016baf532847437cce7823c657b59c71f502bdd”h2NhNh3(Œflask”Œ
matplotlib”Œnumpy”Œpython >=3.5”Œscipy”t”h9h?h@Œ	LGPL-2.1+”hDGA×~BNRñªhEJl¸ hFˆubh)”}”(hŒr-textfeatures”h#Œ0.3.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ*r-textfeatures-0.3.3-r41hc72bb7e_2.tar.bz2”h+Œ 82a5f0d8774a8f7151945a08ae6135dd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-textfeatures-0.3.3-r41hc72bb7e_2.tar.bz2”h0Œ@db1227caf4859316ab3045df4e228fff8d3d0bf5dd9a55b00354c68469106b29”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-purrr”Œr-rlang”Œ
r-text2vec”Œr-tfse”Œr-tibble”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑý”‘‰7hEJÇ" hFˆubh)”}”(hŒr-ggalt”h#Œ0.4.0”h%Œr351_0”h'K hhh(h)hŒr-ggalt-0.4.0-r351_0.tar.bz2”h+Œ 3198cb94bb05f67030fb453712edeed2”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-ggalt-0.4.0-r351_0.tar.bz2”h0Œ@51d610bb3376f8bce7d0bebfbd2f19f6afd215b9bae2df85f6c5c4f47502b53e”h2NhNh3(Œr-ash”Œr-base >=3.5.1,<3.5.2.0a0”Œr-dplyr”Œr-extrafont”Œr-ggplot2 >=2.2.1”Œr-gtable”Œr-kernsmooth”Œr-maps”Œr-mass”Œr-plotly >=3.4.1”Œr-proj4”Œr-rcolorbrewer”Œr-scales”Œr-tibble”t”h9hºh@ŒAGPL”hBŒAGPL”hDGA×6Ç|Œ(öhEJ•÷# hFˆubh)”}”(hŒgraphene-sqlalchemy”h#Œ2.3.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ.graphene-sqlalchemy-2.3.0-pyh9f0ad1d_0.tar.bz2”h+Œ 5e35918516acc893bfd300aa589ab13b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/graphene-sqlalchemy-2.3.0-pyh9f0ad1d_0.tar.bz2”h0Œ@0ee89e0b9cbff059212b5cc61e224ea3bb646fb07f6fd99b026e5723a7cf2a6c”h2NhNh3(Œgraphene”Œpromise”Œpython”Œsingledispatch”Œsix”Œ
sqlalchemy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¸•§
=hEMczhFˆubh)”}”(hŒrdma-core-cos7-aarch64”h#Œ22.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0rdma-core-cos7-aarch64-22.4-h9b0a68f_105.tar.bz2”h+Œ b8deb5a09619d582f55b8d23bdff7802”h.Œ^https://conda.anaconda.org/conda-forge/noarch/rdma-core-cos7-aarch64-22.4-h9b0a68f_105.tar.bz2”h0Œ@c26eacf666cd2ab49ae291079dccf680d6522c469621ad53fa9aaf5774e7ad4c”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@VPr°hEMž¹hFˆubh)”}”(hŒkeras-radam”h#Œ0.15.0”h%ja h'Khhh(h)hŒkeras-radam-0.15.0-1.tar.bz2”h+Œ 982f5c46c0963cf48b633d816c98f5b1”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/keras-radam-0.15.0-1.tar.bz2”h0Œ@f617e3c710039241a0ce6ae7d774e44fec3b605bcaa9819bed9cc1484aad40a3”h2NhNh3(Œcoverage”Œkeras”Œnose”Œnumpy”Œpycodestyle”Œpytorch”Œ
setuptools”Œ
tensorflow”Œtwine”Œwheel”t”h9h?h@ŒMIT”hBŒMIT”hDGA×s±OßhEM`;hFˆubh)”}”(hŒauto-labeling-pipeline”h#Œ0.1.21”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2auto-labeling-pipeline-0.1.21-pyhd8ed1ab_0.tar.bz2”h+Œ 07d092edbae4aab2af197ce41575e598”h.Œ`https://conda.anaconda.org/conda-forge/noarch/auto-labeling-pipeline-0.1.21-pyhd8ed1ab_0.tar.bz2”h0Œ@729bbd9986d139248a38a21a1fa66c02a3dcb461b385387f19a7fbc0c4706cc2”h2NhNh3(Œboto3”Œjinja2”Œpydantic”Œpython >=3.6”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ96ÆaxÕhEJ² hFˆubh)”}”(hŒastral”h#Œ3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒastral-3.0-pyhd8ed1ab_0.tar.bz2”h+Œ e0044c568dfb5677bc9d77622d5c2ff3”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/astral-3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5607fed094385d244d9f57b0633278b6dd8b62448e771d719267d2bea4d9a4f3”h2NhNh3Œdataclasses”Œpython >=3.6”Œpytz”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÐhÁ¾éyhEM™hFˆubh)”}”(hŒat-spi-devel-cos6-x86_64”h#Œ1.28.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5at-spi-devel-cos6-x86_64-1.28.1-hdf0574f_1102.tar.bz2”h+Œ 6508f3bb9d6b9834ee3bf04d4904b7a4”h.Œchttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos6-x86_64-1.28.1-hdf0574f_1102.tar.bz2”h0Œ@6f28ef98d8c7c04f78027f43ea35a9985f0b00014415550f9a19ecb035e53523”h2NhNh3(Œ"at-spi-cos6-x86_64 ==1.28.1 *_1102”Œ%atk-devel-cos6-x86_64 >=1.13.0 *_1102”Œ&gtk2-devel-cos6-x86_64 >=2.10.0 *_1102”Œ'gtk2-devel-cos6-x86_64 >=2.24.23 *_1102”Œ*libbonobo-devel-cos6-x86_64 >=2.4.0 *_1102”Œ'orbit2-devel-cos6-x86_64 >=2.6.0 *_1102”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åj§ÌZhEJŠ= hFˆubh)”}”(hŒrb-forwardable-extended”h#Œ2.6.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ0rb-forwardable-extended-2.6.0-hd4c1694_0.tar.bz2”h+Œ 872cae328bf91af9f588a7529ed0dae9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/rb-forwardable-extended-2.6.0-hd4c1694_0.tar.bz2”h0Œ@e6563cf577f2adead6ebe6e757e9cfd495c6120734609ccffd0f01911d89426f”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Y¼ÎÂ\hEMö2hFˆubh)”}”(hŒlibxxf86vm-devel-cos7-aarch64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9libxxf86vm-devel-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 5e49ef6c00b0a77b4dedb61f76725e31”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@04fa7c983a985ac681d679f15e699a10a9fd8a153b96976623eba054c1f6085a”h2NhNh3Œ&libxxf86vm-cos7-aarch64 ==1.1.4 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉëcSøhEM0hFˆubh)”}”(hŒr-prismatic”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-prismatic-1.1.1-r41hc72bb7e_0.tar.bz2”h+Œ ef580e1e1a75ccf75e38e51992feacce”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-prismatic-1.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@d760ac34eb00360a0d667d617110a5195c29c280d68a477e7ef4ae65245dd4d5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-farver >=2.0.1”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ¾•KU²-hEJWÕ hFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ)r-icluster-2.1.0-r42hc72bb7e_1004.tar.bz2”h+Œ ff1520385579833f5e6b4fbf41aec532”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r42hc72bb7e_1004.tar.bz2”h0Œ@5407a54cf2886c860ba3765b77bb6e84f097d5e295460d04f4b9dfed22d469ba”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒaYú~úhEJÖ/& hFˆubh)”}”(hŒr-climate4r.udg”h#Œ0.2.4”h%Œr41ha770c72_0”h'K hhh(h)hŒ+r-climate4r.udg-0.2.4-r41ha770c72_0.tar.bz2”h+Œ a8ccc53c0f32430a9ac2840b151769d0”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-climate4r.udg-0.2.4-r41ha770c72_0.tar.bz2”h0Œ@6efab0ebc15f45de0ddc3afd2acf575b87189d79a2326b4395b38da81f6051b3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-loader.java”Œr-rcurl”Œr-rjava”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØª·‹DhEJ­. hFˆubh)”}”(hŒr-networkd3”h#Œ0.4”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ(r-networkd3-0.4-r40hc72bb7e_1004.tar.bz2”h+Œ bde9a1e132a8e13f81d2b0d939fc6f68”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-networkd3-0.4-r40hc72bb7e_1004.tar.bz2”h0Œ@003471875126dcfba06210cd0b7b46bf1fdc62da59e4c6bcfdff5fb354da34ba”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmlwidgets >=0.3.2”Œr-igraph”Œ
r-magrittr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+<m*áHhEJ˜( hFˆubh)”}”(hŒr-hdm”h#Œ0.3.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ!r-hdm-0.3.1-r42hc72bb7e_3.tar.bz2”h+Œ fa67090461e20ce1c0307da29870ca96”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hdm-0.3.1-r42hc72bb7e_3.tar.bz2”h0Œ@fdeb7f6a4778b95f1d6cbe80d912e4e14b9175348ec13b5ae8ac7824b44e1dd6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œ	r-formula”Œ	r-ggplot2”Œr-glmnet”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒê…§²hEJu6 hFˆubh)”}”(hŒ	maxminddb”h#Œ2.0.2”h%Œpy_0”h'K hhh(h)hŒmaxminddb-2.0.2-py_0.tar.bz2”h+Œ 948242d7d234d8c68da9ac1e6ffec0da”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/maxminddb-2.0.2-py_0.tar.bz2”h0Œ@b320dbc214477cb0d15114d4ae9e3dd7eb30be95f721f49534a39ab9ffff1554”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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c-compiler”Œipython”Œmypy >=0.800”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÛ²¥OßhEMf)hFˆubh)”}”(hŒpinject”h#Œ0.14.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pinject-0.14.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8b3c28b63dd05390acdde88b3b02dc1f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pinject-0.14.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4909c98193de3cf2f59db0eb8f254faf2f190346b9edf1a1643327c0dde36c7b”h2NhNh3Œdecorator >=4.3.0”Œpython >=3.4”Œsix >=1.7.3”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØTšÉÊÁhEM…hFˆubh)”}”(hŒjsonrpcclient”h#Œ3.3.6”h%Œpy_0”h'K hhh(h)hŒ jsonrpcclient-3.3.6-py_0.tar.bz2”h+Œ f865b1c422e4688ab56aede5fdcee7c4”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/jsonrpcclient-3.3.6-py_0.tar.bz2”h0Œ@3ff3196d13b1df3d3741a7c1fbaa7c5c4469cb8f3370477ba468ad1adee2bee4”h2NhNh3(Œapply_defaults <1”Œclick <7”Œjsonschema <4”Œpython >=3.5”t”h9h?h@ŒMIT”hBŒMIT”hDGA×§íïv—hEMFhFˆubh)”}”(hŒibacm-cos7-ppc64le”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-ibacm-cos7-ppc64le-22.4-h9d98e8f_1104.tar.bz2”h+Œ 54391065193b6c099f9a93d657e04458”h.Œ[https://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-ppc64le-22.4-h9d98e8f_1104.tar.bz2”h0Œ@a99a02bbb1221bb8d7b5ea3e72402453036cce443eb103a7491a3a9f098431d8”h2NhNh3(Œ$libibumad-cos7-ppc64le ==22.4 *_1104”Œ%libibverbs-cos7-ppc64le ==22.4 *_1104”Œ$rdma-core-cos7-ppc64le ==22.4 *_1104”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÉÇ¾whEJ€w hFˆubh)”}”(hŒlibnl-cos7-ppc64le”h#Œ1.1.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ-libnl-cos7-ppc64le-1.1.4-hdf0574f_102.tar.bz2”h+Œ c520dfcdbca71f18089e47e6693f34d2”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-ppc64le-1.1.4-hdf0574f_102.tar.bz2”h0Œ@17fd1cb03613826b920d89318cbc6be71c4d455af209ba08e471c7356e6be244”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Å+’JhEJk] hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_2”h'Khhh(h)hŒ!fenics-fiat-2019.1.0-py_2.tar.bz2”h+Œ 3b98a46db73458ca27f59bc5528092fe”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_2.tar.bz2”h0Œ@b845580cd5b3850d295451c462cd5295350ada1a67f8e90c1cf76defa29f6bd8”h2NhNh3Œnumpy”Œpython >=3.5”Œ	sympy >=1”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×>È´­‘hhEJ + hFˆubh)”}”(hŒr-dot”h#Œ0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒr-dot-0.1-r41hc72bb7e_1.tar.bz2”h+Œ b2efa1510f07f843a7cc6cdc218fe488”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-dot-0.1-r41hc72bb7e_1.tar.bz2”h0Œ@88853f3359a2316e3ee3cf5fa51f8960934b3b9f445fcbee5ef531eb88b007ce”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-v8 >=1.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ++Î  hEJÝÙ hFˆubh)”}”(hŒfonduer”h#Œ0.8.3”h%Œpy_0”h'K hhh(h)hŒfonduer-0.8.3-py_0.tar.bz2”h+Œ b4120ffd43a46fb953b8a02d937dea1f”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/fonduer-0.8.3-py_0.tar.bz2”h0Œ@64264b8fb7e890c107f3007e0fdb69e6cb283aea5ed1f0e6c98e725acca618b9”h2NhNh3(Œbeautifulsoup4 4.7.1”Œdeprecation”Œeditdistance >=0.5.2”Œemmental >=0.0.6”Œipython”Œlxml >=4.2.5”Œnumpy >=1.11”Œ
postgresql”Œpython >=3.6”Œpytorch >=1.3.1,<2.0.0”Œpyyaml >=5.1”Œscipy >=1.1.0”Œsnorkel >=0.9.5”Œspacy >=2.1.3”Œsqlalchemy >=1.3.7”Œtensorboardx”Œtqdm >=4.36.0”Œtreedlib >=0.1.1”Œwand >=0.4.4”t”h9h?h@ŒMIT”hBŒMIT”hDGA××Ý¸hEJ(] hFˆubh)”}”(hŒr-ebayesthresh”h#Œ1.4_12”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ/r-ebayesthresh-1.4_12-r351h6115d3f_1001.tar.bz2”h+Œ 0b552a483cda1fab071454b72c97f5f1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-ebayesthresh-1.4_12-r351h6115d3f_1001.tar.bz2”h0Œ@11f349f73aff368de035e513ea92aadacfdea2f6522993ea44df6c400e4552f5”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-wavethresh”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖü¨•Œ‹DhEJÿÏ hFˆubh)”}”(hŒpls”h#Œ5.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpls-5.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5bbc712116e5aff77a583d9c905e0ad4”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pls-5.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d069d40b6fabdc1a066798296ce9a0d806b522755752f93c069238f0f61cef4d”h2NhNh3(Œpython >=3.8,<4.0”Œpyyaml >=6.0,<7.0”Œrequests >=2.27.1”Œrich >=12.5.1,<13.0.0”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ½T»Q&éhEMìáhFˆubh)”}”(hŒnapari-nd-annotator”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.napari-nd-annotator-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 7fda92fcd578b1445618689159a0df7d”h.Œ\https://conda.anaconda.org/conda-forge/noarch/napari-nd-annotator-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@f2c69d6130ff4ef1030bfc61f70688d09907e2fac1ea077bce8dddbbe15d52de”h2NhNh3(Œmagicgui”Œmatplotlib-base”Œnapari 0.4.15”Œnumpy”Œopencv”Œpython >=3.8”Œqtpy”Œvispy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ³¼jhEMOÓhFˆubh)”}”(hŒ	r-betareg”h#Œ3.1_4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-betareg-3.1_4-r41hc72bb7e_1.tar.bz2”h+Œ 84ed0eafc9dd213331a19ec0a64d2ed3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-betareg-3.1_4-r41hc72bb7e_1.tar.bz2”h0Œ@93267614df228f8e4a23b026082e6fa6cf4816c513fdf2176b96cdf45a2324b5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-flexmix”Œ	r-formula”Œr-lmtest”Œr-modeltools”Œ
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r-magrittr”Œr-purrr”Œr-reactable >=0.2.0”Œr-sass >=0.4.0”Œr-shiny”Œr-stringr >=1.4.0”Œr-tippy >=0.1.0”Œ	r-webshot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ'Vˆr°hEJT hFˆubh)”}”(hŒlibnl-cos7-ppc64le”h#Œ1.1.4”h%Œh2da7399_1100”h'MLhhh(h)hŒ.libnl-cos7-ppc64le-1.1.4-h2da7399_1100.tar.bz2”h+Œ 6516af8ac74692d1e06d40d659fe5868”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-ppc64le-1.1.4-h2da7399_1100.tar.bz2”h0Œ@f30145b33b4fa8e8abff13c11d94786219595dc5ca46439740d0aa1aded40614”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Äyuò¬hEJó\ hFˆubh)”}”(hŒ!xorg-x11-util-macros-cos7-ppc64le”h#Œ1.19.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ>xorg-x11-util-macros-cos7-ppc64le-1.19.0-hdf0574f_1102.tar.bz2”h+Œ c556d1e6a57108f2da88ddf7580ab373”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-ppc64le-1.19.0-hdf0574f_1102.tar.bz2”h0Œ@7f152bc5fec294ef54356ed6c1e0a1ea9ff0d009dac48d5c84391f40bb7b68e0”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;î‡+hEM¨hFˆubh)”}”(hŒmaestral”h#Œ0.5.2”h%Œpy_1”h'Khhh(h)hŒmaestral-0.5.2-py_1.tar.bz2”h+Œ 3c8734f7fb6c6c37c551232be3ff843f”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/maestral-0.5.2-py_1.tar.bz2”h0Œ@207bbb94c5988ccb4ae45c2a910669e843c70b4ce39b9e9f032cd838b1788cac”h2NhNh3(Œblinker”Œbugsnag”Œclick >=7.0”Œdropbox >=9.4.0”Œkeyring >=19.0.0”Œkeyrings.alt >=3.0.0”Œlockfile”Œpyqt”Œpyro5”Œpython >=3.6”Œrequests”Œ
setuptools”Œu-msgpack-python”Œwatchdog”t”h9h?h@ŒMIT”hBŒMIT”hDGA×•ÝùÔ9XhEJü^ hFˆubh)”}”(hŒ
iprpy-data”h#Œ
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r-combinat”h#Œ0.0_8”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ)r-combinat-0.0_8-r36h6115d3f_1003.tar.bz2”h+Œ 76e11345e4c9ca34e854773512e72d83”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinat-0.0_8-r36h6115d3f_1003.tar.bz2”h0Œ@a463a1bcb9f0950c2d38cfed2f7f25a0c9c0ddf22f373d2c2db81ca458169fdf”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«ÐÏýp¤hEMŠÒhFˆubh)”}”(hŒbicycleparameters”h#Œ1.0.0”h%Œpy_2”h'Khhh(h)hŒ$bicycleparameters-1.0.0-py_2.tar.bz2”h+Œ 0c570eca1b3c984de6bae64fc9356a2a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/bicycleparameters-1.0.0-py_2.tar.bz2”h0Œ@30db916528c383fe1bafb1002d76256d4aa4b81c29d15618c532f1672b404824”h2NhNh3(Œdynamicisttoolkit >=0.1.0”Œmatplotlib-base >=1.1.1”Œnumpy >=1.6.1”Œpython”Œscipy >=0.9.0”Œuncertainties >=2.0.0”Œyeadon >=1.1.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×‘Ã¨MÓhEMÑ˜hFˆubh)”}”(hŒr-rationalexp”h#Œ0.2.2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ*r-rationalexp-0.2.2-r351h6115d3f_0.tar.bz2”h+Œ 397e0d656e6ef31e65df89a732ea926c”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-rationalexp-0.2.2-r351h6115d3f_0.tar.bz2”h0Œ@133212aac63d3a5e83aca1bcc69110026a501211c48b9b76a74f1f98f1109247”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ
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Apache-2.0”hBŒAPACHE”hDGAØ~À2p¤hEMßŒhFˆubh)”}”(hŒws4py”h#Œ0.5.1”h%Œpy_0”h'K hhh(h)hŒws4py-0.5.1-py_0.tar.bz2”h+Œ cca0dafa7350987bfb39128692cdc138”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/ws4py-0.5.1-py_0.tar.bz2”h0Œ@d115ebabf7f12de057ce83ed258e05bb7616d9c01b72cbc4caac9a483e37d01c”h2NhNh3Œpython”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hEMqˆhFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpy_2”h'Khhh(h)hŒ$fenics-dijitso-2019.1.0-py_2.tar.bz2”h+Œ 5bdf5044c73253b4a9bc8c5b01ac5988”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-py_2.tar.bz2”h0Œ@767507a74874abfbd126196b18521158f5d6c325a48526864634dd342d7b6169”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×>È¯‚°!hEMz¤hFˆubh)”}”(hŒ
r-registry”h#Œ0.5_1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ&r-registry-0.5_1-r35h6115d3f_1.tar.bz2”h+Œ bcc0c1bd11264c8386405fd59f431df4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r35h6115d3f_1.tar.bz2”h0Œ@2b5b519fcd03de30c08a914ab41d8933322287c47ea8fa2aecdbb0c31004dce4”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×K°¤ ÄœhEJ˜/ hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_0”h'K hhh(h)hŒ fenics-ffc-2019.1.0-py_0.tar.bz2”h+Œ cc061d819e1d1fe0021a640411aca5c0”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_0.tar.bz2”h0Œ@fc8e7d8df18045db9ca6ee09c7c4caabdcb470de8288f2a25758e93d08cd110c”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×2‡!¶E¢hEJ-Ú hFˆubh)”}”(hŒlibdrm-cos6-x86_64”h#Œ2.4.65”h%Œh1795305_101”h'Kehhh(h)hŒ.libdrm-cos6-x86_64-2.4.65-h1795305_101.tar.bz2”h+Œ c0204195d0e07b7a6cfe1f5962a82bd1”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libdrm-cos6-x86_64-2.4.65-h1795305_101.tar.bz2”h0Œ@0d8897b731eeb8d95353868c185584ecd64a7a90a2b7e7b7df7cc2d76975eab9”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å'F—hEJ hFˆubh)”}”(hŒav2”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒav2-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ e2c9436c87e3999dee992f5a47d3d273”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/av2-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@dfcdc3db9f956dde209d0a5c9c9b57cbdfe71b6d4eac89c9d40c2fa0becddb74”h2NhNh3(Œav”Œclick”Œjoblib”Œmatplotlib-base”Œnox”Œnumba”Œnumpy >=1.21.5”Œopencv”Œpandas”Œpip”Œpyarrow”Œpyproj”Œpython >=3.8”Œrich”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¦_néyhEJ³w	 hFˆubh)”}”(hŒlibxrender-devel-cos7-x86_64”h#Œ0.9.10”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxrender-devel-cos7-x86_64-0.9.10-ha826a6f_1103.tar.bz2”h+Œ a2988746821100ce323819494a735a7c”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-x86_64-0.9.10-ha826a6f_1103.tar.bz2”h0Œ@fdd1fa680229bc007b23eaddca43e93f147c2904f5061b0873926f22b809c181”h2NhNh3Œ&libxrender-cos7-x86_64 ==0.9.10 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2Á¹‡hEMT0hFˆubh)”}”(hŒnss-util-cos7-aarch64”h#Œ3.44.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ1nss-util-cos7-aarch64-3.44.0-hdf0574f_102.tar.bz2”h+Œ 985fba13c7c398889355ea5c2b01f564”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-aarch64-3.44.0-hdf0574f_102.tar.bz2”h0Œ@edf2637b7887aed961710b2c4eb4f0823ff7d48b1cd8129f9be48561dfdfb97e”h2NhNh3Œ nspr-cos7-aarch64 >=4.21.0 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+h%ãThEJ³K hFˆubh)”}”(hŒlibxscrnsaver-cos7-aarch64”h#Œ1.2.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libxscrnsaver-cos7-aarch64-1.2.2-h9d98e8f_104.tar.bz2”h+Œ f6b5e141f6aad14304b7165105e013d7”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-aarch64-1.2.2-h9d98e8f_104.tar.bz2”h0Œ@b5a669b3f6b32a7441ece8974475b1a27b8fc7fe36773fd82351b0b4da3a7b48”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éxö‘ë…hEMÁMhFˆubh)”}”(hŒredis-py”h#Œ3.5.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#redis-py-3.5.3-pyh9f0ad1d_0.tar.bz2”h+Œ bf8e5880a103e0b243a9531874080439”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/redis-py-3.5.3-pyh9f0ad1d_0.tar.bz2”h0Œ@e0ccae5c1e52e84f4c6dcbaa34df65b0235e5c146b236307a8e161304a703d4c”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×µZéå/hEM£ïhFˆubh)”}”(hŒlibxau-cos7-aarch64”h#Œ1.0.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libxau-cos7-aarch64-1.0.8-h9b0a68f_105.tar.bz2”h+Œ 60aeb8b3acc35f164fee4a086b514469”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-aarch64-1.0.8-h9b0a68f_105.tar.bz2”h0Œ@0d08d1a7f2edabdfe5d2dcd8ff3d2a0f558c3e992771c056c79b414146b3065b”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@W~éyhEMñbhFˆubh)”}”(hŒtango-gateway”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(tango-gateway-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 5ebe6fa100d5c97ab093b629d5b12cd6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/tango-gateway-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d53f22a69d8bcb6c6a932ec2e027031defac3dcb662abe74eea968e338c2b2c6”h2NhNh3Œaiozmq”Œpython >=3.4”†”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¶‰š°!hEMkuhFˆubh)”}”(hŒr-reffreeewas”h#Œ2.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-reffreeewas-2.2-r42hc72bb7e_2.tar.bz2”h+Œ 4f7eab6d2c51aff92b99ae05146c1306”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-reffreeewas-2.2-r42hc72bb7e_2.tar.bz2”h0Œ@6663a255806c8808b5aca234c695643f92c95bfe19e2a1454b9affbe6e14882b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-quadprog”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ'$áG®hEJR4 hFˆubh)”}”(hŒelpigraph-python”h#Œ0.1.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ+elpigraph-python-0.1.0-pyhd3deb0d_0.tar.bz2”h+Œ a5aa89d31bd1f7e5d9902ed46d64fd70”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/elpigraph-python-0.1.0-pyhd3deb0d_0.tar.bz2”h0Œ@e18f2477b793a4e4989c5eb927308320ca8cc9489e8f570fc1cf7645ce06aecf”h2NhNh3(Œmatplotlib-base”Œnumba >=0.49.1”Œnumpy >=1.16.2”Œpandas >=0.23.4”Œpython”Œpython-igraph >=0.7.1”Œscikit-learn >=0.21.3”Œscipy >=1.2.0”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ­Ý¶ÙhEJo hFˆubh)”}”(hŒchkconfig-cos7-ppc64le”h#Œ1.7.6”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1chkconfig-cos7-ppc64le-1.7.6-h9b0a68f_105.tar.bz2”h+Œ 89c033cec77c3cfb380e959519790c7c”h.Œ_https://conda.anaconda.org/conda-forge/noarch/chkconfig-cos7-ppc64le-1.7.6-h9b0a68f_105.tar.bz2”h0Œ@db14b34415eb4d271a543c298367d60dc61788cb8dae171f31573f6a0b21f781”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@†éŸ¾hEJ‹£ hFˆubh)”}”(hŒdjango-session-security”h#Œ2.6.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2django-session-security-2.6.7-pyhd8ed1ab_0.tar.bz2”h+Œ ae0eac88b01bec96243dfccc32153cde”h.Œ`https://conda.anaconda.org/conda-forge/noarch/django-session-security-2.6.7-pyhd8ed1ab_0.tar.bz2”h0Œ@eedbc4100263408d7946f82cea0d943adb725e461a988283d8f2418f319e95fc”h2NhNh3Œdjango >=2.2,<4”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ±ÏSøhEJNi hFˆubh)”}”(hŒcantools”h#Œ20.6.0”h%Œpy_0”h'K hhh(h)hŒcantools-20.6.0-py_0.tar.bz2”h+Œ 501fec076739208810ed211ae0a6ae24”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/cantools-20.6.0-py_0.tar.bz2”h0Œ@05eb01de46b9562fc2cacd9a3166d5485f552b986743623e1e41df503097a954”h2NhNh3(Œbitstruct >=3.7.0”Œpyparsing >=2.0.3”Œpython”Œpython-can >=2.1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖå+fffhEM©_hFˆubh)”}”(hŒsystemd-libs-cos7-ppc64le”h#Œ219”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3systemd-libs-cos7-ppc64le-219-h9b0a68f_1105.tar.bz2”h+Œ dfafb692f542cd3a88fba915fc3eeae4”h.Œahttps://conda.anaconda.org/conda-forge/noarch/systemd-libs-cos7-ppc64le-219-h9b0a68f_1105.tar.bz2”h0Œ@3f8249a2052d05ae01cf56c49cce010360bc4e5a08fdc49c9766733d672766fa”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2+ and MIT”hBŒLGPL”hDGAØ@†Ä­OßhEJž— hFˆubh)”}”(hŒr-wesanderson”h#Œ0.3.6”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ,r-wesanderson-0.3.6-r40hc72bb7e_1003.tar.bz2”h+Œ ad3f9618396784f8700d2d1f99b79a0a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-wesanderson-0.3.6-r40hc72bb7e_1003.tar.bz2”h0Œ@2717d994001dc4c2aefa2c3c75c1dd2b7cae156ebc00de6428604263e69cdbd8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ïk÷ÏhEMchFˆubh)”}”(hŒr-assertthat”h#Œ0.2.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ(r-assertthat-0.2.1-r35h6115d3f_1.tar.bz2”h+Œ ceaab009a801eb2d7ee9959f8051d6c6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-assertthat-0.2.1-r35h6115d3f_1.tar.bz2”h0Œ@0f0843fd531b0c6239921de5f7beee0a056c79a05175ab9b6add4a4805703450”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×K šHõÃhEJ hFˆubh)”}”(hŒlibdrm-devel-cos7-ppc64le”h#Œ2.4.97”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6libdrm-devel-cos7-ppc64le-2.4.97-hdf0574f_1102.tar.bz2”h+Œ 5ddb865c3a1091da4cdebe4eaa37eb97”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-ppc64le-2.4.97-hdf0574f_1102.tar.bz2”h0Œ@d1a41dd91b6feb7a4f154351438cbc491a7cf01b6e03eecb3509fea323994dea”h2NhNh3Œ+kernel-headers-cos7-ppc64le >=2.6.27 *_1102”Œ#libdrm-cos7-ppc64le ==2.4.97 *_1102”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ •/hEJ_ò hFˆubh)”}”(hŒlibnl-devel-cos7-aarch64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libnl-devel-cos7-aarch64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ 18f1ae8cc206ab20052dcd73c478f3ea”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-aarch64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@624426def8d6aa9ec757a862042140479a6788d3daa02a0b00e65407a717f492”h2NhNh3Œ!libnl-cos7-aarch64 ==1.1.4 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@ŽxÕhEJ!ý	 hFˆubh)”}”(hŒr-misc3d”h#Œ0.9_1”h%Œr40ha770c72_0”h'K hhh(h)hŒ$r-misc3d-0.9_1-r40ha770c72_0.tar.bz2”h+Œ 544de3ffbd5104c7c0b9161897474489”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-misc3d-0.9_1-r40ha770c72_0.tar.bz2”h0Œ@80f852ab033742c9d7ed452cf7f33c7b3ec04faa1d2669693fc627e6ffadfaf2”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØWéwo+hEJNú hFˆubh)”}”(hŒtrio_asyncio”h#Œ0.7.0”h%Œpy_0”h'K hhh(h)hŒtrio_asyncio-0.7.0-py_0.tar.bz2”h+Œ fda0317ba8dba4e77cee8688ab28d7dd”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/trio_asyncio-0.7.0-py_0.tar.bz2”h0Œ@b3c99e433a9de238385bff49ed2ca3856968b0c268a91eb3bfc1022db4a59ad4”h2NhNh3(Œasync_generator”Œcontextvars”Œpython >=3.6,<3.7.0a0”Œtrio”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖ¸Ôí®—hEJ t hFˆubh)”}”(hŒ	babelizer”h#Œ0.3.9”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$babelizer-0.3.9-pyhd8ed1ab_1.tar.bz2”h+Œ bc1b519a6597562d50b25aa1f2a96b4d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/babelizer-0.3.9-pyhd8ed1ab_1.tar.bz2”h0Œ@79471e191bd9b59c1ebd9c43499aecf732d74a626d7e9ae44fee4f27f5978255”h2NhNh3(Œblack”Œclick”Œcookiecutter”Œ	gitpython”Œ	isort >=5”Œpython >=3.8”Œpyyaml”Œtomlkit”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÁC½UhEM7¬hFˆubh)”}”(hŒbewegung”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#bewegung-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 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ipyleaflet”Œ
ipywidgets”Œ
mercantile”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ&ð|îhEMj3hFˆubh)”}”(hŒ	pyrfc3339”h#Œ1.1”h%Œpy_0”h'K hhh(h)hŒpyrfc3339-1.1-py_0.tar.bz2”h+Œ c3d73db4938e77fdfa6991dd26d12230”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pyrfc3339-1.1-py_0.tar.bz2”h0Œ@a385b01353a855023a74a698b86eb17d6a9115ecd566e6f975c7bdc02b96bc4a”h2NhNh3Œpython”Œpytz”†”h9h?h@ŒMIT”hBŒMIT”hDGA×l†ƒyÊÁhEM""hFˆubh)”}”(hŒdataclasses”h#Œ0.8”h%Œpyh787bdff_0”h'K hhh(h)hŒ$dataclasses-0.8-pyh787bdff_0.tar.bz2”h+Œ 99ccd57a7c9761e97e17777f0cde21eb”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dataclasses-0.8-pyh787bdff_0.tar.bz2”h0Œ@81342b04599228492c61e581723f2806f5423ac3f94db646f622d01509947458”h2NhNh3Œpython >=3.6,<3.7”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ—u×l‹hEM0VhFˆubh)”}”(hŒlibsm-devel-cos7-x86_64”h#Œ1.2.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libsm-devel-cos7-x86_64-1.2.2-ha826a6f_1103.tar.bz2”h+Œ 31de7ff4f232f8de086c4dfb22879153”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-x86_64-1.2.2-ha826a6f_1103.tar.bz2”h0Œ@e2b616143b1a47e2433e183cc3650ec0de28f4c80c45a3396624c430c3965ba0”h2NhNh3Œ libsm-cos7-x86_64 ==1.2.2 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{ÄíOßhEM‘"hFˆubh)”}”(hŒdython”h#Œ0.6.7.post2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dython-0.6.7.post2-pyhd8ed1ab_0.tar.bz2”h+Œ baec850b33b68290fa9450199f67d9b5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dython-0.6.7.post2-pyhd8ed1ab_0.tar.bz2”h0Œ@73466567f40e7454a86b93dbe54f7fc9d4fbbaef4c7d2395cdd9f6f92e1d613c”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpandas >=0.23.4”Œpython >=3.6”Œscikit-learn”Œscikit-plot >=0.3.7”Œscipy”Œseaborn”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØM~„°´9hEMWhFˆubh)”}”(hŒr-ibd”h#Œ1.5”h%Œr40h6115d3f_2”h'Khhh(h)hŒr-ibd-1.5-r40h6115d3f_2.tar.bz2”h+Œ de2a4710ed2770023eb90b8a734edcbb”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ibd-1.5-r40h6115d3f_2.tar.bz2”h0Œ@1d849d9e8d43590c4de2612532d7922fd3a9dbe8f52876fb8bf480b3b9c4b383”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-car”Œ	r-emmeans”Œ	r-lpsolve”Œ
r-multcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬»ëBÀƒhEJÅ hFˆubh)”}”(hŒr-latticeextra”h#Œ0.6_30”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-latticeextra-0.6_30-r40hc72bb7e_0.tar.bz2”h+Œ ac09d573c3bfda9dcf55788fa5b5d8ba”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-latticeextra-0.6_30-r40hc72bb7e_0.tar.bz2”h0Œ@540068900b62948963d8d190457dd15f94c15609f01d5632231bc608056b16e5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-interp”Œr-jpeg”Œ	r-lattice”Œr-mass”Œr-png”Œr-rcolorbrewer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ°ùõˆQìhEJ)e" hFˆubh)”}”(hŒr-dataexplorer”h#Œ0.8.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-dataexplorer-0.8.2-r41hc72bb7e_0.tar.bz2”h+Œ ffc87065fe7d5f71d935a91179d031d8”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-dataexplorer-0.8.2-r41hc72bb7e_0.tar.bz2”h0Œ@e4bffaec2adcd50b2f80ad382d6b10de225f5c6ecfff5534fbb38c280001a91c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.12.8”Œ	r-ggplot2”Œr-gridextra”Œr-networkd3 >=0.4”Œr-reshape2 >=1.4.3”Œr-rmarkdown >=2.0”Œr-scales >=1.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,²hEJÊ' hFˆubh)”}”(hŒnr.types”h#Œ4.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#nr.types-4.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6a548955dbb0f214565e24fd40b0a55e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/nr.types-4.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@eb722c71b58ebfba75ba8094f7dfbdaab199204d7388f4818220542f272cd280”h2NhNh3(Œ
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Apache-2.0”hBŒAPACHE”hDGAØ¡óRfÈ´hEM*chFˆubh)”}”(hŒr-hdm”h#Œ0.3.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ!r-hdm-0.3.1-r35h6115d3f_0.tar.bz2”h+Œ 444da77094f462e05f18d91a447d6782”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-hdm-0.3.1-r35h6115d3f_0.tar.bz2”h0Œ@d50e8b64097fb4d6d25a575f151c48468ca0fb477dcc09d9ac73d83803949d88”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-checkmate”Œ	r-formula”Œ	r-ggplot2”Œr-glmnet”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGA×MµŒ²áHhEJ3 hFˆubh)”}”(hŒpytest-notebook”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pytest-notebook-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2eb0d4c3a88e74e069bcb4a6fdd8a8d6”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pytest-notebook-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@996a920322e0e1a5814180f45459a9a644f46d6b5947bf24e29b0a919a8f8ed5”h2NhNh3(Œattrs”Œblack”Œimportlib_resources”Œ
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GPL (>= 3)”hBŒGPL3”hDGA×³rbñªhEJÅû hFˆubh)”}”(hŒr-iml”h#Œ0.11.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-iml-0.11.1-r40hc72bb7e_0.tar.bz2”h+Œ 9739674f548fcbdba994c3d1743381c7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-iml-0.11.1-r40hc72bb7e_0.tar.bz2”h0Œ@db01c5f62722c9ba2037f48c6ff616ef893cdbc46a90facff49af54569351f45”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-checkmate”Œr-data.table”Œ	r-formula”Œr-future”Œr-future.apply”Œ	r-ggplot2”Œr-keras >=2.2.5.0”Œ	r-metrics”Œr-prediction”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÆŒÿš°!hEJšÈ hFˆubh)”}”(hŒtransitions”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&transitions-0.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8785a1dfcac572653f6e8b5a6c39ff23”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/transitions-0.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@163b8a74f34f4202b6874307adaac950ad45548b86fb0215a9d6756393a91a6e”h2NhNh3Œpython >=2.7”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÄ‚DE¡ËhEJó hFˆubh)”}”(hŒr-breakdown”h#Œ0.2.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ'r-breakdown-0.2.1-r36hc72bb7e_0.tar.bz2”h+Œ 30ac4edc3da301e9845619e9e3433894”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-breakdown-0.2.1-r36hc72bb7e_0.tar.bz2”h0Œ@6aec477f851e155a3388feecb8d2e3ffc6d17f1cb5dd8061ed660074b9447b0a”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ—ŒÝ/hEJ)
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GPL (>= 2)”hBŒGPL3”hDGAØÑLs¸RhEJŒB hFˆubh)”}”(hŒlibxshmfence-cos7-aarch64”h#Œ1.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxshmfence-cos7-aarch64-1.2-ha826a6f_1103.tar.bz2”h+Œ f6a8eb30ffb83c20f1252d8921d136c5”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-aarch64-1.2-ha826a6f_1103.tar.bz2”h0Œ@c5367b0d65c4bdec77512ded4e719a4a499d36424f0a95a817399b9afaa62db6”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ üIºhEMé"hFˆubh)”}”(hŒpyrobex”h#Œ0.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pyrobex-0.4.3-pyhd8ed1ab_0.tar.bz2”h+Œ 1c28800d31f45aadf1bf8349a8f37c76”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pyrobex-0.4.3-pyhd8ed1ab_0.tar.bz2”h0Œ@42ae7245e4b50f464411121c57d3788dee86e735027b64a62805847c12b64e65”h2NhNh3Œnibabel”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÏvõÒòhEM-hFˆubh)”}”(hŒ
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r-cubature”Œr-doparallel”Œr-dplyr”Œ	r-foreach”Œ	r-ggplot2”Œr-glm2”Œ
r-magrittr”Œr-plyr”Œr-pracma”Œr-rlang”Œr-tibble”Œ
r-tmvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+»kSøhEJó hFˆubh)”}”(hŒ	r-histdat”h#Œ0.2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-histdat-0.2.0-r40hc72bb7e_0.tar.bz2”h+Œ 985b545de4b8749fba3da1bb400e32f1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-histdat-0.2.0-r40hc72bb7e_0.tar.bz2”h0Œ@1e662161a6cc289a10410038a617c12ca381057a10c18d1c4ef90f805c6df9a5”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ^a3™&éhEJçÃ hFˆubh)”}”(hŒr-climate4r.value”h#Œ1.0.0”h%Œr40ha770c72_0”h'K hhh(h)hŒ-r-climate4r.value-1.0.0-r40ha770c72_0.tar.bz2”h+Œ 20cd657c0b275455d36b3d431ba2a48b”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-climate4r.value-1.0.0-r40ha770c72_0.tar.bz2”h0Œ@fa9ddd569e6b6b68fbf9e74419fe851f15ee808af206b44c735d0c0796eacf8b”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-transformer >=1.4.7”Œr-value >=1.4.23”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢Ì ÓhEMüûhFˆubh)”}”(hŒlibsm-devel-cos6-x86_64”h#Œ1.2.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libsm-devel-cos6-x86_64-1.2.1-h9b0a68f_105.tar.bz2”h+Œ 184a8e40e3259a5d02d15356a738ab15”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos6-x86_64-1.2.1-h9b0a68f_105.tar.bz2”h0Œ@beb0c4860d59e0848cdfe6c4f4285340b4201b88c69c9b7792d919ed01b76229”h2NhNh3Œlibsm-cos6-x86_64 ==1.2.1 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Xý¯PhEM#hFˆubh)”}”(hŒalchemical-analysis”h#Œ1.0.2”h%Œpy_2”h'Khhh(h)hŒ&alchemical-analysis-1.0.2-py_2.tar.bz2”h+Œ 2bad27f9b34bb86a76e98e992608393b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/alchemical-analysis-1.0.2-py_2.tar.bz2”h0Œ@5dc7a4a97ad97939c5fde365e9bd3129fff05120a7bbdf8175dd6bb69bd83e5e”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpymbar 3.0.3.*”Œ	python <3”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGA×’Œ*uVhEM:hFˆubh)”}”(hŒrb-archive-tar-minitar”h#Œ0.5.2”h%Œ
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r-micropan”h#Œ2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-micropan-2.1-r41hc72bb7e_1.tar.bz2”h+Œ 75043fae17741fe56d98a397b5fa63aa”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-micropan-2.1-r41hc72bb7e_1.tar.bz2”h0Œ@bc51e220ff7f5d9c75e03a67f8b97d48192dbb4e17aae7c4303ab58e592b3c62”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-igraph”Œ
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Apache-2.0”hBŒAPACHE”hDGA×¿¿ùxÕhEM#ëhFˆubh)”}”(hŒr-simpleboot”h#Œ1.1_7”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ(r-simpleboot-1.1_7-r40hc72bb7e_2.tar.bz2”h+Œ 285d2ac9ad6d14c7119501884c3afc46”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-simpleboot-1.1_7-r40hc72bb7e_2.tar.bz2”h0Œ@25daabace117a311acd92ab383db789b01bf2c120275ee00a9112406f8a3a343”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-boot”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ÛéxÕhEJO= hFˆubh)”}”(hŒlibx11-devel-cos6-x86_64”h#Œ1.6.4”h%Œh1795305_1101”h'MMhhh(h)hŒ4libx11-devel-cos6-x86_64-1.6.4-h1795305_1101.tar.bz2”h+Œ ee1dbed82fae0247f57446e6ca884f67”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos6-x86_64-1.6.4-h1795305_1101.tar.bz2”h0Œ@dccd58b1b92f245d09c37b79610405e015b260a4ccab6e0ff9dc398b7e718c20”h2NhNh3Œlibx11-cos6-x86_64 1.6.4”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å©ç+hEJ4 hFˆubh)”}”(hŒlibselinux-devel-cos7-ppc64le”h#Œ2.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libselinux-devel-cos7-ppc64le-2.5-h9d98e8f_1104.tar.bz2”h+Œ 841f9cd087d68369b5ef71afb7e47412”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos7-ppc64le-2.5-h9d98e8f_1104.tar.bz2”h0Œ@ba791e5cbc9139c018ea161e4f590d95ed080164a625de26124ab2361a625cab”h2NhNh3Œ$libselinux-cos7-ppc64le ==2.5 *_1104”Œ(libsepol-devel-cos7-ppc64le >=2.5 *_1104”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×É~ñRÀƒhEJ0` hFˆubh)”}”(hŒr-grimport2”h#Œ0.2_0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ'r-grimport2-0.2_0-r40hc72bb7e_1.tar.bz2”h+Œ add115f47c3723911e4a309cdc0fdcac”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-grimport2-0.2_0-r40hc72bb7e_1.tar.bz2”h0Œ@f94b0cea4ee963cde787cc272bf106db9ce53c030f17f02531b464948f09ded5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-jpeg”Œr-png”Œr-xml”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ÍÄœhEJKß hFˆubh)”}”(hŒ
r-nlcoptim”h#Œ0.6”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-nlcoptim-0.6-r40hc72bb7e_1.tar.bz2”h+Œ 142a9fb77ad1c96e98f39c0dc2f26f69”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nlcoptim-0.6-r40hc72bb7e_1.tar.bz2”h0Œ@c7e724c08a9650e621f6c5506c29bb797404befb3cb8db564ce5ad75fc7e98fa”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”Œ
r-quadprog”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+K× hEJ²F hFˆubh)”}”(hŒlibibcm-devel-cos6-x86_64”h#Œ1.0.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libibcm-devel-cos6-x86_64-1.0.5-h9d98e8f_104.tar.bz2”h+Œ 405e6ee64e1c4cb1c14f7f223b1c21a5”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libibcm-devel-cos6-x86_64-1.0.5-h9d98e8f_104.tar.bz2”h0Œ@ef45d2c4a4fca7237c590fe6c3e3d9d6aa17f0d918da803f5aac8a80066484fd”h2NhNh3Œ!libibcm-cos6-x86_64 ==1.0.5 *_104”Œ(libibverbs-devel-cos6-x86_64 >=1.1 *_104”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É|€ÃohEMÙFhFˆubh)”}”(hŒr-diffr”h#Œ0.1”h%Œ	r351_1001”h'Méhhh(h)hŒr-diffr-0.1-r351_1001.tar.bz2”h+Œ e72f37a621e0144f8392c967d752888c”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-diffr-0.1-r351_1001.tar.bz2”h0Œ@3bc22b30fe428ca5ccfcdadcae9ba3c1fb4a818253926dba1b0e084a30fc818b”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-htmlwidgets”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖþE»65?hEJµ5 hFˆubh)”}”(hŒ
r-gridbase”h#Œ0.4_7”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ*r-gridbase-0.4_7-r351h6115d3f_1001.tar.bz2”h+Œ 90ceaf95b1461e723c11e761a2521eed”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r351h6115d3f_1001.tar.bz2”h0Œ@339e1e0547dc8dd5ab5b2bb70852bd1c8bb50bd80fa31fc82be40e8f3d809e36”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAÖûª°ß;dhEJ£ hFˆubh)”}”(hŒlibxau-devel-cos7-aarch64”h#Œ1.0.8”h%Œha826a6f_103”h'Kghhh(h)hŒ4libxau-devel-cos7-aarch64-1.0.8-ha826a6f_103.tar.bz2”h+Œ 4aa651e85904c799743b4350c7116e35”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos7-aarch64-1.0.8-ha826a6f_103.tar.bz2”h0Œ@301b8717a14306925791863f320be8f689bbdb723f747357451276a6d477e031”h2NhNh3Œ!libxau-cos7-aarch64 ==1.0.8 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0˜þÈ´hEM&&hFˆubh)”}”(hŒ
r-gluedown”h#Œ1.0.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-gluedown-1.0.6-r42hc72bb7e_0.tar.bz2”h+Œ e7ba7c24d508630cd80e7d9bb8b0cc22”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-gluedown-1.0.6-r42hc72bb7e_0.tar.bz2”h0Œ@961ab4b935271356fc88e659a88c3e26cffdd1e043d0c84230e51ed946c232e0”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-glue >=1.3.1”Œr-magrittr >=2.0.1”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙàqƒohEJÉÃ hFˆubh)”}”(hŒvcversioner”h#Œ2.16.0.0”h%Œpy_1”h'Khhh(h)hŒ!vcversioner-2.16.0.0-py_1.tar.bz2”h+Œ c5b6128093271208fd13b7b2d63b76a3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/vcversioner-2.16.0.0-py_1.tar.bz2”h0Œ@0db483d5639fd3ebd9f435ef19e0af8bcbcde46be108bb6b1ea9e644d943588e”h2NhNh3Œpython”…”h9h?h@ŒISC”hDGAÖÐSÜjhEMh&hFˆubh)”}”(hŒlibxshmfence-cos7-x86_64”h#Œ1.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libxshmfence-cos7-x86_64-1.2-h9d98e8f_1104.tar.bz2”h+Œ f55103c634a5fc209c92a7f5f505c853”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-x86_64-1.2-h9d98e8f_1104.tar.bz2”h0Œ@a9aa6b8582e43f2dbaeb34d09b502ec8197293436c6ff8cd6a41fb058f467e98”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éyµ~éyhEM-"hFˆubh)”}”(hŒlibidl-cos6-x86_64”h#Œ0.8.13”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libidl-cos6-x86_64-0.8.13-hdf0574f_1102.tar.bz2”h+Œ ac3b6d1b13315b25942c3851a5ef7d8c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libidl-cos6-x86_64-0.8.13-hdf0574f_1102.tar.bz2”h0Œ@c3d5eccfe558d749cb5239b35b9248a8d8c0f0c020b2119b752582c25d9c70b0”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅiB®$ÝhEJUt hFˆubh)”}”(hŒdjango-allauth”h#Œ0.51.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*django-allauth-0.51.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1fd2399a59b7f805fb0ef4ef5ba0ada9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/django-allauth-0.51.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d221b7de57a94312c86fb493bc4b389bd6b512ba3c8292eb601cfe8252f266ca”h2NhNh3(Œdjango >=2.0”Œpython >=3.5”Œpython3-openid >=3.0.8”Œrequests”Œrequests-oauthlib >=0.3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ§Ø
MÓhEJH hFˆubh)”}”(hŒmesa-khr-devel-cos7-aarch64”h#Œ18.3.4”h%Œ
h1341992_0”h'K hhh(h)hŒ5mesa-khr-devel-cos7-aarch64-18.3.4-h1341992_0.tar.bz2”h+Œ 9503376b7f45919bbb95a35927dde3e5”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-aarch64-18.3.4-h1341992_0.tar.bz2”h0Œ@7f3854c78482631e3f5fde029e181fc5478fc17cc2d68f2f4937d00f0a730afc”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Œ|}D›¦hEM8hFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ2libxxf86vm-cos7-ppc64le-1.1.4-ha826a6f_103.tar.bz2”h+Œ f7dfe425c99facc82c76dc8b0653e2df”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-ha826a6f_103.tar.bz2”h0Œ@87bd712b0425d49808f403ec8de531feae03dd6913a707a859f045cfb08531fe”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0ý`ƒhEM<hFˆubh)”}”(hŒibacm-cos7-aarch64”h#Œ22.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ,ibacm-cos7-aarch64-22.4-h9b0a68f_105.tar.bz2”h+Œ 2192e7eb5bcfe9ff91f17113909d6f2d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-aarch64-22.4-h9b0a68f_105.tar.bz2”h0Œ@1d577e4b8ca904ca58440d93fd4c1a28aa8a5c7854607e6e1bcfd3c6b7040445”h2NhNh3Œ#libibumad-cos7-aarch64 ==22.4 *_105”Œ$libibverbs-cos7-aarch64 ==22.4 *_105”Œ#rdma-core-cos7-aarch64 ==22.4 *_105”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@\¶­ãThEJÄo hFˆubh)”}”(hŒlibxau-cos7-aarch64”h#Œ1.0.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libxau-cos7-aarch64-1.0.8-hdf0574f_1102.tar.bz2”h+Œ db967b70f97ac4bb0c8c8f82072890f7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-aarch64-1.0.8-hdf0574f_1102.tar.bz2”h0Œ@d749b3691217d895a2017c2e22106b65e2e2569e80fa782a8cf53d79f5f0245c”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ3XA‰hEMÚ_hFˆubh)”}”(hŒr-traits”h#Œ0.5.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-traits-0.5.0-r42hc72bb7e_1.tar.bz2”h+Œ 89d6b48210e10cde02fb5de322914eb4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-traits-0.5.0-r42hc72bb7e_1.tar.bz2”h0Œ@264ac3738224820558855145bc5c01e73655a991596ad1bb3b197f524ac503d6”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.6.0”Œr-data.table >=1.9.6”Œr-hoardr”Œr-httr >=1.1.0”Œr-jsonlite >=0.9.19”Œr-readr >=1.1.1”Œr-rvest >=0.3.1”Œr-taxize >=0.7.4”Œr-tibble >=1.3.4”Œr-xml2 >=0.1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ
Â|‹DhEJx hFˆubh)”}”(hŒr-tsoutliers”h#Œ0.6_8”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ(r-tsoutliers-0.6_8-r42hc72bb7e_3.tar.bz2”h+Œ 444a26ecba5763fb739f4fe6f32b2241”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tsoutliers-0.6_8-r42hc72bb7e_3.tar.bz2”h0Œ@f87bfa6a95a44684af2ee4916d9be6f4ba96825d8e5469892f81013b13dea6de”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-forecast”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑö?M¸hEJ¤ hFˆubh)”}”(hŒr-smoothwin”h#Œ3.0.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-smoothwin-3.0.0-r40h6115d3f_1.tar.bz2”h+Œ c91a66b7f66f29ea6a00a67724adadc9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-smoothwin-3.0.0-r40h6115d3f_1.tar.bz2”h0Œ@c8fe15f90386a28765d3ddbd9ed2a5e7e2d30894196d76c0bf254374082572dd”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-nlme”Œr-rfast”‡”h9hºh@ŒLGPL-2”hBŒLGPL”hDGA×¬: Gl‹hEJt hFˆubh)”}”(hŒmesa-libgl-cos6-x86_64”h#Œ11.0.7”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2mesa-libgl-cos6-x86_64-11.0.7-hdf0574f_102.tar.bz2”h+Œ 67079ed58a4b7cd5f80ed49029be6daa”h.Œ`https://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos6-x86_64-11.0.7-hdf0574f_102.tar.bz2”h0Œ@760bf219d5aba1abf0248ae782e92c94c13f91e6019b54695829802074d56566”h2NhNh3Œ!libdrm-cos6-x86_64 >=2.4.24 *_102”Œlibx11-cos6-x86_64 >1.6 *_102”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+•uÂhEJ˜Î hFˆubh)”}”(hŒr-sizer”h#Œ0.1_8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-sizer-0.1_8-r41hc72bb7e_0.tar.bz2”h+Œ 1378eaf9b0f1bbc3618c8e37644ff238”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-sizer-0.1_8-r41hc72bb7e_0.tar.bz2”h0Œ@8ba110a04bc7556ddce93368f6ad878c09b5179017f1667c13cce391f07e2022”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-dplyr”Œ	r-ggplot2”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ²³Ïü›¦hEJ-x hFˆubh)”}”(hŒlibxxf86vm-cos7-aarch64”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ3libxxf86vm-cos7-aarch64-1.1.4-h1795305_1101.tar.bz2”h+Œ 3c9ba92e2dfc0a7473f1114904c76c48”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-aarch64-1.1.4-h1795305_1101.tar.bz2”h0Œ@6cd9876378d35215ada96d5a35c35b620361c40b92e654a85ed523ebe65fcac6”h2NhNh3Œ libx11-cos7-aarch64 >=1.5.99.902”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&*;…hEMô8hFˆubh)”}”(hŒr-calibrator”h#Œ1.2_8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-calibrator-1.2_8-r41hc72bb7e_1.tar.bz2”h+Œ f39b62ab05b8622bfa5d01261d366816”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-calibrator-1.2_8-r41hc72bb7e_1.tar.bz2”h0Œ@57e9cdf73c0b968b293c827ae9fbb0c7c9f8e26172a6f8fe817b23f449a330b0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-cubature”Œr-emulator >=1.2_11”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ¾Nò^5hEJ*
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atomicfile”Œipython”Œ
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matplotlib”Œnumpy”Œpython”‡”h9h?h@ŒLGPL-3.0”hBŒLGPL”hEM}hFˆubh)”}”(hŒ
r-combinat”h#Œ0.0_8”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ)r-combinat-0.0_8-r35h6115d3f_1002.tar.bz2”h+Œ 973e280e4dae12714f2ec1a0c343f94c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinat-0.0_8-r35h6115d3f_1002.tar.bz2”h0Œ@439c7271624ad56fe5e186b71c645ffcc45891e14c76d61e354f543c45c8820b”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×KðzY‡hEMYÐhFˆubh)”}”(hŒlibnl-cos7-aarch64”h#Œ1.1.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.libnl-cos7-aarch64-1.1.4-h9b0a68f_1105.tar.bz2”h+Œ 5b208e252fe2c2f89edbbec9af25d42f”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-aarch64-1.1.4-h9b0a68f_1105.tar.bz2”h0Œ@7b27024c8966f091751333236ed007ffb1eab0ffc6375d2f1473ad52a56d8b3c”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@†ÜÙÊÁhEJ@ hFˆubh)”}”(hŒvariable_generators”h#Œ0.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ,variable_generators-0.1-pyh9f0ad1d_0.tar.bz2”h+Œ cafbbc6f3bf2dbb22c73a2aeba46a257”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/variable_generators-0.1-pyh9f0ad1d_0.tar.bz2”h0Œ@0b239f4004f22fb105198a13264680111ab6a3dde162b2013005d54bf2468f4e”h2NhNh3(Œnumpy >=1.1”Œ
orca >=1.3”Œpandas >=0.16”Œpython”Œurbansim >=0.1.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÍV?E¢hEM)hFˆubh)”}”(hŒ
rb-rubyzip”h#Œ1.3.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ#rb-rubyzip-1.3.0-hd4c1694_0.tar.bz2”h+Œ 1d61b8132f8bc9676cfbbb72c8481ef6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rb-rubyzip-1.3.0-hd4c1694_0.tar.bz2”h0Œ@f415d1770431057668faf6429ba84150ee4313cd9733077bb1a9f8ae63674da9”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGA×bó\úMÓhEJóª hFˆubh)”}”(hŒflask-pymongo”h#Œ2.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(flask-pymongo-2.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 18c668c233b5063840e078d53037f4a5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flask-pymongo-2.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c22f5219ea7c8b3427367a6fd395b06f6d6c764c06257d6ed1616d8084c7c96d”h2NhNh3Œflask >=0.11”Œpymongo >=3.3”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØM‡¡ÄjhEMŸ2hFˆubh)”}”(hŒ	vegasflow”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$vegasflow-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 21f78a41452665510657895548d3af67”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/vegasflow-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3f6ab5d280f6e9c0acc5ca84b497db4835a466295bd738c847506655d42c461a”h2NhNh3(Œjoblib”Œnumpy”Œpython >=3.6”Œtensorflow >=2.0.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ³H—`bNhEMÑ‚hFˆubh)”}”(hŒr-parcor”h#Œ0.2_6”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ'r-parcor-0.2_6-r36h6115d3f_1002.tar.bz2”h+Œ b56cd416ebbd41a6d9c427571985bd98”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parcor-0.2_6-r36h6115d3f_1002.tar.bz2”h0Œ@4a1cd1713455beee5dab7ab0a6d2b7b41e460047c350f9e544515ac7ad20b1c3”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-epi”Œ	r-genenet”Œr-glmnet”Œr-mass”Œr-ppls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬šbõÃhEJÙG hFˆubh)”}”(hŒr-functional”h#Œ0.6”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ)r-functional-0.6-r40ha770c72_1002.tar.bz2”h+Œ 26e3b996672a5624e170eb63e96c1ee1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-functional-0.6-r40ha770c72_1002.tar.bz2”h0Œ@4dba9925906aa20513d2fea0ee5854f8f106f1b562cbae3595b995663c4d0ff6”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ßýp¤hEM¶{hFˆubh)”}”(hŒlibnl-cos7-ppc64le”h#Œ1.1.4”h%Œh2da7399_100”h'Kdhhh(h)hŒ-libnl-cos7-ppc64le-1.1.4-h2da7399_100.tar.bz2”h+Œ ef14f6bfea2f91edf54a00e6255d48a3”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-ppc64le-1.1.4-h2da7399_100.tar.bz2”h0Œ@fc8da01564fdd0201c49a00ec3be6454a6f11a56b81cf89a77f51d8f78a3babb”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Äysn5?hEJY] hFˆubh)”}”(hŒcc-plugin-ncei”h#Œ2.0.2”h%Œpy_3”h'Khhh(h)hŒ!cc-plugin-ncei-2.0.2-py_3.tar.bz2”h+Œ da7c3a437ae92c52ac02a4b3bb990951”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cc-plugin-ncei-2.0.2-py_3.tar.bz2”h0Œ@f6883ec936756ebcff824bd56f88ec012b47258dfa07a6a46c196eda19a52fb2”h2NhNh3(Œcompliance-checker >=2.2.0”Œisodate >=0.5.4”Œpython”Œsix >=1.10.0”t”h9h?h@Œ
Apache 2.0”hDGA×Ü®…hEJ•! hFˆubh)”}”(hŒinifile”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"inifile-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 6d79c7bd6499fc144a7185c2721ca1eb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/inifile-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7c785ba8a2ee7b9547c85d21f26c4f118a64c0d529a870629fb024399cf5ad52”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØc`hKt¼hEMØ-hFˆubh)”}”(hŒr-networkd3”h#Œ0.4”h%Œr36h6115d3f_1004”h'Mìhhh(h)hŒ(r-networkd3-0.4-r36h6115d3f_1004.tar.bz2”h+Œ eef6aa25a77546948b449e97214e0a3f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-networkd3-0.4-r36h6115d3f_1004.tar.bz2”h0Œ@693ec1f6a7351906bcb10c6f6a0688bf69efc525a1deca30a92fc773013671bb”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-htmlwidgets >=0.3.2”Œr-igraph”Œ
r-magrittr”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬ŸíãThEJÆ& hFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.libx11-cos6-x86_64-1.6.4-h9b0a68f_1105.tar.bz2”h+Œ ea2a73c7d4913ce9ec8cc6c50a21c6a9”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-h9b0a68f_1105.tar.bz2”h0Œ@b87edfe71094560b1a50303c0b15415e99061eb7cef6063edc5045276ffc5451”h2NhNh3Œ(libx11-common-cos6-x86_64 ==1.6.4 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Z*5ãThEJD} hFˆubh)”}”(hŒjupyter-jaeger”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)jupyter-jaeger-1.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 1bd3015d3c26f33d73111445430d3fdd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/jupyter-jaeger-1.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e326074a753c10dcd84e8f8ba2ebfdd41350ee40f079773635781ced49c993f3”h2NhNh3(Œjaeger <1.22.0”Œjaeger-agent <1.22.0”Œjaeger-all-in-one <1.22.0”Œjaeger-browser”Œjaeger-collector <1.22.0”Œjaeger-example-hotrod <1.22.0”Œjaeger-ingester <1.22.0”Œjaeger-query <1.22.0”Œjupyter-server-proxy”Œjupyterlab 3.*”Œnotebook”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ®«èÔþhEMˆðhFˆubh)”}”(hŒhyperas”h#Œ0.4.1”h%Œpy_0”h'K hhh(h)hŒhyperas-0.4.1-py_0.tar.bz2”h+Œ fe906284d512074fa272fca97502fc94”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/hyperas-0.4.1-py_0.tar.bz2”h0Œ@a6536a3bee3fe47315d15c4e46b0488748c553366ad57a007f79ff004e5160ce”h2NhNh3(Œentrypoints”Œhyperopt”Œjupyter”Œkeras”Œ	nbconvert”Œnbformat”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×U°pÄœhEM71hFˆubh)”}”(hŒr-celestial”h#Œ1.4.6”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ'r-celestial-1.4.6-r41hc72bb7e_3.tar.bz2”h+Œ 1a25e03004bc7c60621a0aebeaf84731”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-celestial-1.4.6-r41hc72bb7e_3.tar.bz2”h0Œ@9cf247a473ccd4dae3bbd46756e341555c427dea97da56d2f54a934aebec6bac”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-nistunits”Œr-pracma”Œr-rann”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¾0ñ%hEJ¥æ hFˆubh)”}”(hŒpciutils-libs-cos7-aarch64”h#Œ3.5.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6pciutils-libs-cos7-aarch64-3.5.1-h9b0a68f_1105.tar.bz2”h+Œ dfbddd0c53cca839505364aaa45331f6”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-aarch64-3.5.1-h9b0a68f_1105.tar.bz2”h0Œ@206c729572d635935c7220d5c4c62f60aee31bb159554ea1a905a2f581b21f19”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ@‰ÚÀƒhEMÎšhFˆubh)”}”(hŒtreetaggerwrapper”h#Œ2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*treetaggerwrapper-2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 9ba276e1bc9cc9518d1685e1aeb1e4e0”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/treetaggerwrapper-2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@caaae347e711a5e327556d889aeda974bc5177d0e9c93ee396b5d3931d63f4b5”h2NhNh3Œ
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grpcio-gcp”h#Œ0.2.2”h%ja h'Khhh(h)hŒgrpcio-gcp-0.2.2-1.tar.bz2”h+Œ 856f1eb92f62e75a9238a8f15ce39022”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/grpcio-gcp-0.2.2-1.tar.bz2”h0Œ@15739c7dab61449adc1da5b775532bd253ef194a7d47c09b9ff6c835c184f3bd”h2NhNh3Œgrpcio-tools >=1.16.1,<2.0a0”…”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×/.c»¶FhEMM;hFˆubh)”}”(hŒ
precession”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%precession-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 3050ba868afc0aed86b558b270146745”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/precession-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@9e7db98b7851d2e5a99a32b41f442f7428e7871f16de60824839e99ea4f7dca9”h2NhNh3(Œmatplotlib-base”Œnumpy”Œparmap >=1.5.1”Œpython >=3.6”Œscipy”t”h9h?h@Œ	CC-BY-4.0”hBŒCC”hDGAØ§aü9XhEM«ËhFˆubh)”}”(hŒnfoursid”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#nfoursid-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 290e55ca60138d7f722f80d6161e182b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/nfoursid-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ce512f8e2d37f608f0c5f218e371f343870c96e36d4f841f9be19343c22a3d66”h2NhNh3(Œmatplotlib-base >=3.3”Œnumpy >=1.19”Œpandas >=1.1”Œpython >=3.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¨6jhEMËDhFˆubh)”}”(hŒopenai”h#Œ0.23.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"openai-0.23.1-pyhd8ed1ab_0.tar.bz2”h+Œ c7ea62e1bad79937c52624794a5cf798”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/openai-0.23.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a41e731e4d93ac1b01cdc92580c4a71b7d7035541c8b61a63749d6e0601883fe”h2NhNh3(Œcolorama”Œnumpy”Œopenpyxl >=3.0.7”Œpandas >=1.2.3”Œpandas-stubs >=1.1.0.11”Œpython >=3.7”Œrequests >=2.20”Œtqdm”Œtyping_extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÍkô33hEMŠ«hFˆubh)”}”(hŒdjango-wagtail-feeds”h#Œ0.0.8”h%Œpy_0”h'K hhh(h)hŒ'django-wagtail-feeds-0.0.8-py_0.tar.bz2”h+Œ 515290667a3c67e494acfb810a4b6111”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/django-wagtail-feeds-0.0.8-py_0.tar.bz2”h0Œ@2e310a2ba659a7b0783dd3bd91d2ee33637b2e4c34b35fac6de468965f2a8c6f”h2NhNh3Œdjango >=1.8”Œpython”Œwagtail >=1.8”‡”h9h?h@ŒMIT”hBŒMIT”hEME%hFˆubh)”}”(hŒ
r-sylly.en”h#Œ0.1_3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-sylly.en-0.1_3-r36h6115d3f_0.tar.bz2”h+Œ bdb3518952500a21c7b01f21e552ffc0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sylly.en-0.1_3-r36h6115d3f_0.tar.bz2”h0Œ@3ea012eab2ffd1dfa36c5334b801c2d5e2ef1f8c274de44c97f1eb6dc9711fe4”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-sylly”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×TL·˜£×hEJÃ‰ hFˆubh)”}”(hŒmatid”h#Œ0.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ matid-0.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ 315005487725600930f454c6486215ac”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/matid-0.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@fe7f405ed10c1bf6a6e6e807cde8dfc1a5532245d9adae7924a0efa9cf2daac2”h2NhNh3(Œase”Œchronic”Œfuture”Œnetworkx >=2.4”Œnumpy”Œpython >=3.5”Œscikit-learn”Œscipy”Œspglib >=1.15.0”t”h9h?h@Œ
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r-testthat”Œr-tibble”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÒ&ŽÜzáhEMŽwhFˆubh)”}”(hŒlibselinux-cos7-ppc64le”h#Œ2.5”h%Œha826a6f_103”h'Kghhh(h)hŒ0libselinux-cos7-ppc64le-2.5-ha826a6f_103.tar.bz2”h+Œ e537079b6fe834e89cc666ae3c73dd40”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-ppc64le-2.5-ha826a6f_103.tar.bz2”h0Œ@b28727821ab4569d48ce3b5385546ca56167788ec5ba904d41024caf69008a68”h2NhNh3Œ!libsepol-cos7-ppc64le >=2.5 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×Æ/øÐåhEJj” hFˆubh)”}”(hŒr-estimability”h#Œ1.4.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-estimability-1.4.1-r40hc72bb7e_0.tar.bz2”h+Œ eade87db88eedf4371fa70ae3bd50946”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-estimability-1.4.1-r40hc72bb7e_0.tar.bz2”h0Œ@4a101a4dedc0ef661c06590985c8dfeb46ebe304dcd0db130ddbfccc668d1d67”h2NhNh3Œr-base 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python >=3”Œshapely”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÁ_+‡hEJ²8 hFˆubh)”}”(hŒ	r-shinylp”h#Œ1.1.2”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ(r-shinylp-1.1.2-r35h6115d3f_1001.tar.bz2”h+Œ 72e0a7fc4986d41756ea6731d1a19793”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinylp-1.1.2-r35h6115d3f_1001.tar.bz2”h0Œ@f78aa4cea90709d2f57139d0883f469c8dd2b428f2c7624b9f3f1b93cb3d80a7”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-shiny”†”h9hºh@ŒMIT”hBŒMIT”hDGA×L¬Q‡hEMâžhFˆubh)”}”(hŒ
rb-faraday”h#Œ0.17.0”h%Œ
hc42de5b_0”h'K hhh(h)hŒ$rb-faraday-0.17.0-hc42de5b_0.tar.bz2”h+Œ ae4448393d2729952f4ce4d179cf18c6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rb-faraday-0.17.0-hc42de5b_0.tar.bz2”h0Œ@e486e58322fbf900d61783f95badb48ca5e5253fe85922f2add1ddcccb80d7df”h2NhNh3Œrb-multipart-post >=1.2,<3”Œruby >=2.6.5,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×f¤È´hEJf/ hFˆubh)”}”(hŒ
r-prabclus”h#Œ2.3_2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-prabclus-2.3_2-r41hc72bb7e_2.tar.bz2”h+Œ 3e17d905f654204aeb9d3bc980202231”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prabclus-2.3_2-r41hc72bb7e_2.tar.bz2”h0Œ@cf8d69f05943ce0492d2fafe3989afd87a13b5b8a5361b7ddd8cd4e57c39a2a6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-mclust”‡”h9hºh@ŒGPL”hBŒGPL”hDGAØÑYý²hEJ‚“ hFˆubh)”}”(hŒflake8-rst-docstrings”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0flake8-rst-docstrings-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ ec926258f31d2dda5cfeef7bf0df8c76”h.Œ^https://conda.anaconda.org/conda-forge/noarch/flake8-rst-docstrings-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@7653fa47bcf0ac947b1c474814d07aeedbb8da5de2cbb7529b0e394a445db67d”h2NhNh3(Œdocutils”Œ
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hfe9d6e3_0”h'K hhh(h)hŒ*findorb-data-de430t-1.0-hfe9d6e3_0.tar.bz2”h+Œ 0fe1d2d873845760be29d6f9546b25d4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/findorb-data-de430t-1.0-hfe9d6e3_0.tar.bz2”h0Œ@9cc1bd0f9caa1b15a3c0bed74317d43c4f01862d87df047ee1f473ad345a6168”h2NhNh3)h9hºh@ŒLicenseRef-Public-Domain”hDGAØ1T33hEJÏÜãhFˆubh)”}”(hŒvizlo”h#Œ1.0.1”h%Œpyh44b312d_0”h'K hhh(h)hŒ vizlo-1.0.1-pyh44b312d_0.tar.bz2”h+Œ 81eb5f9eaf9eb4e2fa5be58065f035e0”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/vizlo-1.0.1-pyh44b312d_0.tar.bz2”h0Œ@4890eb8094778733c49418162e5d093820a97da1cd71ddfa95a6c5b98fc9f876”h2NhNh3(Œclingo >=5.4”Œmatplotlib-base >=3.2”Œnetworkx >=2.4”Œnumpy >=1.16”Œpython >=3.6”Œpython-igraph >=0.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¨8È£×hEM¦`hFˆubh)”}”(hŒpip2pi”h#Œ0.8.0”h%Œpy_0”h'K hhh(h)hŒpip2pi-0.8.0-py_0.tar.bz2”h+Œ 4e0955e9c3635cd217cc2e541a1ece89”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pip2pi-0.8.0-py_0.tar.bz2”h0Œ@1ec7e38f92d00f03eda96324d260fe6f495e35fff4601ce6f4b2d2e26939e72e”h2NhNh3Œpip”Œpython”Œ
setuptools”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×[ï©ct¼hEMG4hFˆubh)”}”(hŒ&xcb-util-renderutil-devel-cos7-aarch64”h#Œ0.3.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒAxcb-util-renderutil-devel-cos7-aarch64-0.3.9-h9d98e8f_104.tar.bz2”h+Œ 65d2f78a6c6996294071fa506c12d7df”h.Œohttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-devel-cos7-aarch64-0.3.9-h9d98e8f_104.tar.bz2”h0Œ@aec18f74fed0d2799216475a899b3d3290ee38f702c54449fe8b3ee34ef8afa0”h2NhNh3Œ.xcb-util-renderutil-cos7-aarch64 ==0.3.9 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓîI©ühEMshFˆubh)”}”(hŒmprod-package”h#Œ0.0.4a1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*mprod-package-0.0.4a1-pyhd8ed1ab_0.tar.bz2”h+Œ 53b996e491cedeced119cff161181ffb”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mprod-package-0.0.4a1-pyhd8ed1ab_0.tar.bz2”h0Œ@1b938e72dff84049941580225fa8b1e00f057f6bd3ba3a239e87a4956f96b77d”h2NhNh3(Œdataclasses >=0.7”Œnumpy >=1.19.2”Œpandas >=1.1.5”Œpython >=3.6”Œscikit-learn >=0.24.1”Œscipy >=1.5.3”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØµ›íì9XhEMmchFˆubh)”}”(hŒr-fds”h#Œ1.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒr-fds-1.8-r40hc72bb7e_0.tar.bz2”h+Œ 6833afd5e2ee1e7894de9cb4f012f6a1”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-fds-1.8-r40hc72bb7e_0.tar.bz2”h0Œ@aa68b840e7952fa7bf6970c2e0bef31c964f0b8c41782e968b83cab05e03de45”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-rainbow”Œr-rcurl”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×ð¢k§¾whEJf> hFˆubh)”}”(hŒr-lle”h#Œ1.1”h%Œr36_1003”h'Mëhhh(h)hŒr-lle-1.1-r36_1003.tar.bz2”h+Œ 55a90d40471da0311c5b431182784842”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/r-lle-1.1-r36_1003.tar.bz2”h0Œ@3f2919879513c726731f3474d28d7a43bedb863912ba78b416957013177e8a09”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-mass”Œr-scatterplot3d”Œ
r-snowfall”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«öÂo¾whEJŠ3 hFˆubh)”}”(hŒsimplekv”h#Œ0.14.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$simplekv-0.14.1-pyh9f0ad1d_0.tar.bz2”h+Œ 4852fd2fc26f19e16f1a3eeb4a921b27”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/simplekv-0.14.1-pyh9f0ad1d_0.tar.bz2”h0Œ@4a0e91341fbca089f628cc4e605394148557a4d5417dfcc9d26fac2c79cdc9f8”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¤¯hÄœhEMdhFˆubh)”}”(hŒediblepickle”h#Œ1.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'ediblepickle-1.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ a06c3ff9f2139ed5b0fb8cec9ee02564”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ediblepickle-1.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@e1a853c118f8fc977ef6c51723e16cd6251a572d0a6ef1a30b91b620fdf285f7”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
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r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
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r-magrittr”Œr-rcpp”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ß{ý&éhEJ˜p hFˆubh)”}”(hŒlibidl-cos7-x86_64”h#Œ0.8.14”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libidl-cos7-x86_64-0.8.14-hdf0574f_1102.tar.bz2”h+Œ 01db63fe6716ce9aa5e6751d6b54b040”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libidl-cos7-x86_64-0.8.14-hdf0574f_1102.tar.bz2”h0Œ@d80bb4c8a3dc60dac57e90439860d0731ba7319b5583e4c58ac53d8cead1e754”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åi~ùÛhEJ…ƒ hFˆubh)”}”(hŒr-mustat”h#Œ1.7.0”h%Œ	r351_1000”h'Mèhhh(h)hŒ r-mustat-1.7.0-r351_1000.tar.bz2”h+Œ 5e0a179c5415cd803087e82dc60fffbb”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-mustat-1.7.0-r351_1000.tar.bz2”h0Œ@f539391e56c1bebc2761ee0daffcc3755df139e3c371dc19a55c8bb6131e16bc”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖþùÖ7+hEJoX hFˆubh)”}”(hŒoxasl_enable”h#Œ0.0.2.post2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-oxasl_enable-0.0.2.post2-pyhd8ed1ab_0.tar.bz2”h+Œ b7e05d94b0ea510c0f475270e7a67c1d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/oxasl_enable-0.0.2.post2-pyhd8ed1ab_0.tar.bz2”h0Œ@6f218e9c324deba0e01533bc2b5a6a2cb9e714d830ac7a823edcc2d8ca20c29d”h2NhNh3(Œnibabel”Œnumpy”Œoxasl”Œpandas”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ-×a¼ÌÍhEM$FhFˆubh)”}”(hŒr-gpseq”h#Œ0.5”h%Œ	r351_1000”h'Mèhhh(h)hŒr-gpseq-0.5-r351_1000.tar.bz2”h+Œ 5b236e3a593d8f219bdc6386e8dea490”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-gpseq-0.5-r351_1000.tar.bz2”h0Œ@62725509b1d7217ff3a0a174161ffa52da477340278dfec657cd4b68b56344ab”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖûa&hEJ÷} hFˆubh)”}”(hŒ
r-lambda.r”h#Œ1.2.4”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-lambda.r-1.2.4-r40hc72bb7e_1.tar.bz2”h+Œ 46a0a2912b317ab8cc98fa64f86fd751”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lambda.r-1.2.4-r40hc72bb7e_1.tar.bz2”h0Œ@aa49589f1035a8086e091a719d14f292b85a53e8441a54ac0a9b7f318f654cbc”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-formatr”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ*çm9ë…hEJß hFˆubh)”}”(hŒr-simfit”h#Œ0.1.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-simfit-0.1.0-r41hc72bb7e_0.tar.bz2”h+Œ 8636676c9e6977683013880f0d3a6432”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-simfit-0.1.0-r41hc72bb7e_0.tar.bz2”h0Œ@c929e7939d490c157dd58dfa3172dfaf6df09e3a46dc43da70ff61597f5b1d19”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-magrittr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+°›‡+hEM{ºhFˆubh)”}”(hŒ	ibis-hdf5”h#Œ2.1.1”h%Œ
hd8ed1ab_1”h'Khhh(h)hŒ"ibis-hdf5-2.1.1-hd8ed1ab_1.tar.bz2”h+Œ d50373c26ee53662cc706749af2e3bac”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/ibis-hdf5-2.1.1-hd8ed1ab_1.tar.bz2”h0Œ@16dd021ae4bf855715c8137d5c5b4ac87b86663255109d169674c7f946f035f1”h2NhNh3Œ&ibis-framework-core >=2.1.1,<2.1.2.0a0”Œpytables >=3”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ…íî^5hEM
hFˆubh)”}”(hŒ
astroquery”h#Œ0.4.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%astroquery-0.4.6-pyhd8ed1ab_0.tar.bz2”h+Œ c87214674eb094465c824a07e22ce922”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/astroquery-0.4.6-pyhd8ed1ab_0.tar.bz2”h0Œ@953ee6800d9f68b997717bd3d7b32fb0bee0c6eef6be2bb53f6f70ea0a65e38c”h2NhNh3(Œastropy >=3.1.2”Œbeautifulsoup4 >=4.3.2”Œhtml5lib >=0.999”Œkeyring >=4.0”Œnumpy >=1.15.0”Œpython >=3.7”Œ
pyvo >=1.1”Œrequests >=2.4.3”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŽÄ%ù&éhEJéQ< hFˆubh)”}”(hŒ
r-rcppdate”h#Œ0.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-rcppdate-0.0.3-r41hc72bb7e_1.tar.bz2”h+Œ 9d48d252a5dfa1c67e190f3f5f3e116c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rcppdate-0.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@4eb4b723b182a7b2a4506ba43f9a081d2b21c7ab62f02c80790c155b13c24682”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÐñA©ühEJo hFˆubh)”}”(hŒazure-mgmt-msi”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ!azure-mgmt-msi-0.2.0-py_0.tar.bz2”h+Œ 3107c21056be5196ea927a4ca2cefe3e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/azure-mgmt-msi-0.2.0-py_0.tar.bz2”h0Œ@d0fcddb2cae4a13b6d9d8b45063248fe56e752515f0f6b126dc52191a359624c”h2NhNh3Œazure-common >=1.1,<2”Œmsrestazure >=0.4.27,<2.0.0”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×ªÊo|îhEMW6hFˆubh)”}”(hŒlibibverbs-devel-cos6-x86_64”h#Œ1.1.8”h%Œh1795305_1101”h'MMhhh(h)hŒ8libibverbs-devel-cos6-x86_64-1.1.8-h1795305_1101.tar.bz2”h+Œ 6b339d3bdacda21bee3ea54bf4d90539”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libibverbs-devel-cos6-x86_64-1.1.8-h1795305_1101.tar.bz2”h0Œ@7d23acfc6c8feb3db38a74ce40a68ca89891f6c538f4b24b69596fed6245b9f0”h2NhNh3Œlibibverbs-cos6-x86_64 1.1.8”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×ÄÇÅïß;hEJ¹ hFˆubh)”}”(hŒr-shinyheatmaply”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-shinyheatmaply-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 1e1f749414f46d2b0e4d023b69a57243”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinyheatmaply-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@98a8479ccfa98c9cc750c5b3f1d00ac9ec6bddd99169fdb281dc93bb9725395a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-heatmaply >=1.0.0”Œr-htmltools”Œr-plotly”Œr-readxl”Œr-rmarkdown”Œr-shiny”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ–ÃçmhEJr$ hFˆubh)”}”(hŒfreetype-cos6-x86_64”h#Œ2.3.11”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0freetype-cos6-x86_64-2.3.11-h9b0a68f_105.tar.bz2”h+Œ b9d356407e2d96e67b30db29b4ba1e79”h.Œ^https://conda.anaconda.org/conda-forge/noarch/freetype-cos6-x86_64-2.3.11-h9b0a68f_105.tar.bz2”h0Œ@4156c0fc1c354526009ab3704dd000e6a3a85ecfe58e20b7a9bc2319b2020eb6”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒFTL or GPLv2+”hBŒGPL2”hDGAØ@Wì¼jhEJF£ hFˆubh)”}”(hŒr-conditionz”h#Œ0.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-conditionz-0.1.0-r42hc72bb7e_2.tar.bz2”h+Œ 609e0c8d0078873e4d4378568c2d95b7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-conditionz-0.1.0-r42hc72bb7e_2.tar.bz2”h0Œ@c73caa31287e09d56b7168c627e54b8ca1d624ee4ed95c9d683628931824ffa6”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-r6”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐº\jhEJ hFˆubh)”}”(hŒpyiron_experimental”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.pyiron_experimental-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0aedd63e07ccb533199c922d2994d091”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pyiron_experimental-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@8d7b95e6fcf02307dff6d861c5efdb9585849ff562dc177b864f73b1f6df7579”h2NhNh3(Œhyperspy >=1.6.4”Œpyiron_base >=0.3.5”Œpystem >=0.0.26”Œpython >3.5”Œscanf >=1.5.2”Œtemmeta >=0.0.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØVøó9©ühEMk*hFˆubh)”}”(hŒr-gridextra”h#Œ2.3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ(r-gridextra-2.3-r40h6115d3f_1003.tar.bz2”h+Œ 05812ff595698b5f2f5ea0cd260af2c2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gridextra-2.3-r40h6115d3f_1003.tar.bz2”h0Œ@c1efc6b69cd828d1c44e0d4ebae0686b14c931eabb982075dce7d557da6dbe06”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-gtable”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«ÅÊMÓhEJÜ hFˆubh)”}”(hŒr-glm2”h#Œ1.2.1”h%Œ	r351_1001”h'Méhhh(h)hŒr-glm2-1.2.1-r351_1001.tar.bz2”h+Œ ceb877f279108ceb5f4b5fea4c7171b0”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-glm2-1.2.1-r351_1001.tar.bz2”h0Œ@6486ce5a200db1665c3c8042b05d834d559afc98d20aa9b4d472b112dfc80425”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖûFe“•hEJR hFˆubh)”}”(hŒ
rb-logging”h#Œ1.8.2”h%Œ
hd4c1694_0”h'K hhh(h)hŒ#rb-logging-1.8.2-hd4c1694_0.tar.bz2”h+Œ 2637e2f786c6ef06070dcf7c76dc5e25”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rb-logging-1.8.2-hd4c1694_0.tar.bz2”h0Œ@27c788796fdcb2d3ac94615b99dda65984dce842086bcf3ff2c43606c41c666b”h2NhNh3Œrb-little-plugger >=1.1.4,<2”Œrb-multi_json >=1.13.1,<1.14”Œruby >=2.5.5,<2.6.0a0”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×`9vVhEJ›› hFˆubh)”}”(hŒsemi-ate-stdf”h#Œ0.1.28”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)semi-ate-stdf-0.1.28-pyhd8ed1ab_1.tar.bz2”h+Œ a389cca533e090cb54e52391d65d2a93”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/semi-ate-stdf-0.1.28-pyhd8ed1ab_1.tar.bz2”h0Œ@8e06f6d3e764876a07c817ddf09d539f7201a44619a15c96dc1b2083f071ca6e”h2NhNh3Œpython >=3.7”Œ
xlsxwriter”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¬Ø°!hEJ¾ hFˆubh)”}”(hŒxcb-util-devel-cos7-aarch64”h#Œ0.4.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6xcb-util-devel-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h+Œ 080927e12abf17f597cc5f33bc06a9dd”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-devel-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h0Œ@ac7c56eeeba0dfddaa44343eb8cc67ea492a34ee1544d24690dabae2e81acea0”h2NhNh3Œ#xcb-util-cos7-aarch64 ==0.4.0 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓÀ“¶FhEM\#hFˆubh)”}”(hŒpbr”h#Œ5.5.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒpbr-5.5.1-pyh9f0ad1d_0.tar.bz2”h+Œ 8505d7f4f1a497e82033196f3961d7a6”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pbr-5.5.1-pyh9f0ad1d_0.tar.bz2”h0Œ@127707cc33262b4feddcc882e789c485a4b3b16df020dadbe89b2aaa875ba3f5”h2NhNh3Œpip”Œpython”†”h9h?h@Œ
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r-ridigbio”h#Œ0.3.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-ridigbio-0.3.6-r41hc72bb7e_1.tar.bz2”h+Œ fb782576562e5551906cb3b76d00da01”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ridigbio-0.3.6-r41hc72bb7e_1.tar.bz2”h0Œ@39148dc21dd5b58622de0878dee385d52761f5dae6f83ec3bd87f2510a23bbd5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
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r-corrplot”Œr-countrycode”Œr-d3r”Œr-data.tree”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets”Œ
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six ~=1.13”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØEëÕó¶hEM¥MhFˆubh)”}”(hŒlibglvnd-glx-cos7-x86_64”h#Œ1.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libglvnd-glx-cos7-x86_64-1.0.1-h9d98e8f_1104.tar.bz2”h+Œ f466d7d766e85fb2b51c279478c0f46d”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-glx-cos7-x86_64-1.0.1-h9d98e8f_1104.tar.bz2”h0Œ@443e715eb296ba4396553d04cb9a504ecb89f53a9470b753ee36ce52aacbafa4”h2NhNh3Œ#libglvnd-cos7-x86_64 ==1.0.1 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|1è1'hEJÜ¿ hFˆubh)”}”(hŒ	r-colordf”h#Œ0.1.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-colordf-0.1.7-r40hc72bb7e_0.tar.bz2”h+Œ a1bdfbf2b15d249cd812fc7529095130”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-colordf-0.1.7-r40hc72bb7e_0.tar.bz2”h0Œ@3fa3674ebee21fa2f64202bdfa4c13433ee3d1e1777deac63bd5989d081f1e35”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-purrr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÌxRi‰7hEJ²Ì	 hFˆubh)”}”(hŒ
rb-rubyzip”h#Œ1.1.7”h%Œ
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ruby >=2.5”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÇÂ–aÛ#hEM,ghFˆubh)”}”(hŒexpat-devel-cos6-x86_64”h#Œ2.0.1”h%Œha826a6f_103”h'Kghhh(h)hŒ2expat-devel-cos6-x86_64-2.0.1-ha826a6f_103.tar.bz2”h+Œ abf6392bdfe43531f4f2048542f127da”h.Œ`https://conda.anaconda.org/conda-forge/noarch/expat-devel-cos6-x86_64-2.0.1-ha826a6f_103.tar.bz2”h0Œ@736cd9be7391193dbfb47950caaae09969a85021af204d9fad2ab8322648d22a”h2NhNh3Œexpat-cos6-x86_64 ==2.0.1 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0íVhEJ! hFˆubh)”}”(hŒmolpx”h#Œ0.1.7”h%Œpy_1000”h'Mèhhh(h)hŒmolpx-0.1.7-py_1000.tar.bz2”h+Œ 558b85ac6cc965bdba5f2f5576a49a1b”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/molpx-0.1.7-py_1000.tar.bz2”h0Œ@fbdd7f36cc4f26a31d21870fd27f5c64d97d6772be57e47b10ff01da03527b4a”h2NhNh3(Œipympl”Œnglview >=1”Œnotebook”Œpyemma”Œ
python >=3”Œscikit-learn”Œ
setuptools”t”h9h?h@ŒLGPL v3+”hDGAÖþû|õ¡ËhEJ’X9 hFˆubh)”}”(hŒr-discriminer”h#Œ0.1_29”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ-r-discriminer-0.1_29-r35h6115d3f_1002.tar.bz2”h+Œ 4983c5ad5ca88792a9e2271cc35ba62c”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-discriminer-0.1_29-r35h6115d3f_1002.tar.bz2”h0Œ@91cb654674d4c2dcb68f27d1d976bad48ebf5d78bdd4bd89c94847e34d60cdb7”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×MôCdZhEJ,¢ hFˆubh)”}”(hŒlibxtst-devel-cos7-aarch64”h#Œ1.2.3”h%Œha826a6f_103”h'Kghhh(h)hŒ5libxtst-devel-cos7-aarch64-1.2.3-ha826a6f_103.tar.bz2”h+Œ ebed22b8f6fa128b659dd2c4d8594089”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxtst-devel-cos7-aarch64-1.2.3-ha826a6f_103.tar.bz2”h0Œ@2ac3844dec44f5f8be37c567e5474410d5f1c25a038188f4fa9c4f6564371abb”h2NhNh3Œ"libxtst-cos7-aarch64 ==1.2.3 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2a\hEM“1hFˆubh)”}”(hŒorbit2-devel-cos7-ppc64le”h#Œ2.14.19”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7orbit2-devel-cos7-ppc64le-2.14.19-h9b0a68f_1105.tar.bz2”h+Œ bd72a4fd5424e5ed789ced19f7eff3aa”h.Œehttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos7-ppc64le-2.14.19-h9b0a68f_1105.tar.bz2”h0Œ@acd63a51db45937b64a472f8070926807b137f195d56567f89750e51140ba405”h2NhNh3(Œ'glib2-devel-cos7-ppc64le >=2.2.0 *_1105”Œ(libidl-devel-cos7-ppc64le >=0.8.2 *_1105”Œ$orbit2-cos7-ppc64le ==2.14.19 *_1105”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGAØ@ô
=hEJ­± hFˆubh)”}”(hŒr-rbokeh”h#Œ0.5.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-rbokeh-0.5.2-r40hc72bb7e_1.tar.bz2”h+Œ f005997365a51d02fd16d998829fba23”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rbokeh-0.5.2-r40hc72bb7e_1.tar.bz2”h0Œ@920fcc4173cd0acbbcca3dc01c90d856c0010b27167e33ae186036fa61bacf2a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-gistr”Œr-hexbin”Œr-htmlwidgets >=0.5”Œ
r-jsonlite”Œ
r-lazyeval”Œ
r-magrittr”Œr-maps”Œr-pryr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØsZÍõVhEJ§· hFˆubh)”}”(hŒevents”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒevents-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ d82a8a9258e2476bf9adb9b13ca5f379”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/events-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@cb28c9cdb26d6724abc08773427eee0e30b3e85915ec5d87c5e26476730080b2”h2NhNh3Œpython >=2.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×çpÊPbhEMñ$hFˆubh)”}”(hŒxcb-util-wm-devel-cos7-ppc64le”h#Œ0.4.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9xcb-util-wm-devel-cos7-ppc64le-0.4.1-h9b0a68f_105.tar.bz2”h+Œ 6027b2f4f95d4d9a403f6e707e07b67d”h.Œghttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-devel-cos7-ppc64le-0.4.1-h9b0a68f_105.tar.bz2”h0Œ@f205204f52ba0dd5d477445447f8efaea27cdd40036dc20a2b518297625e7bda”h2NhNh3Œ&xcb-util-wm-cos7-ppc64le ==0.4.1 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‰ýÂhEMSMhFˆubh)”}”(hŒr-weatherdata”h#Œ0.4.1”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ,r-weatherdata-0.4.1-r41ha770c72_1002.tar.bz2”h+Œ b249b9047474a8ef849e1cffcafd7c11”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-weatherdata-0.4.1-r41ha770c72_1002.tar.bz2”h0Œ@4f47fe0287d5af24b7cd474e3dcb90f19faebbb73eb78d07b45c61d05f54fc89”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-plyr”†”h9hºh@ŒGPL”hBŒGPL”hDGAØ+Ìd“hEJšh hFˆubh)”}”(hŒ
cssselect2”h#Œ0.2.1”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ%cssselect2-0.2.1-pyh9f0ad1d_1.tar.bz2”h+Œ 1e642cd71b43866bcedff1172ac1fc53”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/cssselect2-0.2.1-pyh9f0ad1d_1.tar.bz2”h0Œ@cfa9f03e406c32000ad05ecead87dbe86ba2786ef4cd3d5c5c129c11fd640c43”h2NhNh3Œpython”Œtinycss2”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×žðsÃçmhEM#vhFˆubh)”}”(hŒr-statebins”h#Œ1.4.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-statebins-1.4.0-r42hc72bb7e_0.tar.bz2”h+Œ 94d9ec337a0f94cb8faced3276bd4bb1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-statebins-1.4.0-r42hc72bb7e_0.tar.bz2”h0Œ@da06f2531cdf9b11e5cfe39dd120e207dfcea9d8e2180c9ecc2925a425f7d814”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.2.1”Œr-scales >=0.5.0”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÙ/è»SøhEJÙ~ hFˆubh)”}”(hŒ
r-snowfall”h#Œ1.84_6.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-snowfall-1.84_6.2-r40hc72bb7e_0.tar.bz2”h+Œ a96118da1bc94aa9fe521abba0c043cb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-snowfall-1.84_6.2-r40hc72bb7e_0.tar.bz2”h0Œ@4e269c96535f975b94e8507ef128a28d488e98a754acb8b234809264123bd0ab”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-snow”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ±Ê¤ýôhEJ2  hFˆubh)”}”(hŒr-hierfstat”h#Œ0.5_11”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-hierfstat-0.5_11-r41hc72bb7e_1.tar.bz2”h+Œ 513d79d9f56f85200a1b6c2fcf8d88bb”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hierfstat-0.5_11-r41hc72bb7e_1.tar.bz2”h0Œ@67009822c26e94c1a2ffde85891f64ba757599017d3a5f607534296f4ef88fd7”h2NhNh3(Œr-ade4”Œ
r-adegenet”Œr-base >=4.1,<4.2.0a0”Œr-gaston”Œr-gtools”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒi¬œÌÍhEJ9_ hFˆubh)”}”(hŒ	pyrss2gen”h#Œ1.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"pyrss2gen-1.1-pyhd3deb0d_0.tar.bz2”h+Œ 9371386049be4645999a455a019951cf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pyrss2gen-1.1-pyhd3deb0d_0.tar.bz2”h0Œ@a045078204c12ad984a8f230700cdede484c0a0bafbeab5a956f234081171876”h2NhNh3Œpython”…”h9h?h@ŒBSD-1-Clause”hDGA×úå 33hEM%hFˆubh)”}”(hŒr-firedanger”h#Œ1.1.0”h%Œr40ha770c72_0”h'K hhh(h)hŒ(r-firedanger-1.1.0-r40ha770c72_0.tar.bz2”h+Œ 9b38c3a041f6ca9dd7c446f4822a21b7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-firedanger-1.1.0-r40ha770c72_0.tar.bz2”h0Œ@0a0b171f55db1fa79e5f26a8dc642434a03947d584999728bc71884b7e4592e4”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œ
r-magrittr”Œr-transformer >=1.4.7”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡êþl‹hEJÈä hFˆubh)”}”(hŒr-prettymapr”h#Œ0.2.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-prettymapr-0.2.4-r41hc72bb7e_1.tar.bz2”h+Œ b675c033b901ac0528c8284787b971a0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-prettymapr-0.2.4-r41hc72bb7e_1.tar.bz2”h0Œ@7b28ae5bb6540a831fb15332081d22abacd2f82a31b96cb77b756a9406ab882e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-httr”Œr-plyr”Œr-rjson”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑýM<›¦hEJïL hFˆubh)”}”(hŒcups-devel-cos7-ppc64le”h#Œ1.6.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3cups-devel-cos7-ppc64le-1.6.3-h9b0a68f_1105.tar.bz2”h+Œ 400461e52f9760b11c452597ee5bd0b4”h.Œahttps://conda.anaconda.org/conda-forge/noarch/cups-devel-cos7-ppc64le-1.6.3-h9b0a68f_1105.tar.bz2”h0Œ@280ead0364ba219dff87465b53e26e0940cb4ab3f2a35339ee68e2acf12ecb5a”h2NhNh3Œ%cups-libs-cos7-ppc64le ==1.6.3 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@Š¨–È´hEMðhFˆubh)”}”(hŒpathspec”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pathspec-0.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ f93dc0ccbc0a8472624165f6e256c7d1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pathspec-0.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@80f6a7f92de6f341b80316fc7206c0e48807bcb1eb5612d68d32de8755082fc7”h2NhNh3Œ4python >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*”…”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAØ=
ˆÄœhEMdzhFˆubh)”}”(hŒkazoo”h#Œ2.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ kazoo-2.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9a45fb09aecd3d660456ea515f65e80b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/kazoo-2.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b5f4032b71b2471c5e3eea6ea9b4bdb4ec821de9044bd0a2d29eea5a00d25d00”h2NhNh3Œpython >=3.7”Œsix”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÔÝ†ûhEJ%« hFˆubh)”}”(hŒhcipy”h#Œ0.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ hcipy-0.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3b13a6c832a7ed85449aac44fd68c097”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/hcipy-0.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f98efcc00db6546d44a35f3c15793bbda75951bd0f3b786648c354b135216ee0”h2NhNh3(Œasdf <=2.10”Œastropy”Œffmpeg”Œimageio”Œimportlib_resources >=1.4”Œmatplotlib-base >=2.0.0”Œnumexpr”Œnumpy”Œpillow”Œpython >=3.7”Œpython-xxhash”Œpyyaml”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÓh4éyhEJqc hFˆubh)”}”(hŒr-rfutilities”h#Œ2.1_5”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-rfutilities-2.1_5-r40hc72bb7e_1.tar.bz2”h+Œ 520e9528dd85945929d78853e3e0438f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rfutilities-2.1_5-r40hc72bb7e_1.tar.bz2”h0Œ@f2903653af7e6d6c593d68034f97b29ed78cb8a86e65fa2b464a4fff954ff573”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”Œr-randomforest >=4.6_12”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+‰$1hEJªÆ hFˆubh)”}”(hŒparsimonious”h#Œ0.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(parsimonious-0.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ d059267f75cc1f06f0a8e7d4fe6146b9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/parsimonious-0.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a2db6277442c35dcb9a0929b450a4f38801524db83f38ff95ef005e5bd7f5d3d”h2NhNh3Œpython >=3.7”Œregex”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÆˆ…‘hhEM-³hFˆubh)”}”(hŒatk-devel-cos6-x86_64”h#Œ1.30.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1atk-devel-cos6-x86_64-1.30.0-h9b0a68f_105.tar.bz2”h+Œ 4bf0ae0f6ccfc2450ace3072b4665b11”h.Œ_https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos6-x86_64-1.30.0-h9b0a68f_105.tar.bz2”h0Œ@fd464a3dda1223ee28e3b1453e7c3f0419f30b531cb98ddf876e36ca86972b15”h2NhNh3Œatk-cos6-x86_64 ==1.30.0 *_105”Œ%glib2-devel-cos6-x86_64 >=2.6.0 *_105”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@Zùª\hEJ}‰ hFˆubh)”}”(hŒnss-softokn-freebl-cos6-x86_64”h#Œ3.14.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ;nss-softokn-freebl-cos6-x86_64-3.14.3-h9d98e8f_1104.tar.bz2”h+Œ 7bf38847d1bd827e5a00d40893a84276”h.Œihttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos6-x86_64-3.14.3-h9d98e8f_1104.tar.bz2”h0Œ@ee973ed5cdd5f06912e9bb870c0fc0db4031a856240a59a903f43f67c7af2ff9”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÉxêŠJhEJë< hFˆubh)”}”(hŒdjango-recaptcha”h#Œ3.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+django-recaptcha-3.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 58b9c923972137c6d01f13f18588bcf8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/django-recaptcha-3.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e3d7be7b92f2b654d06f1bdb0e6da5ebd5997dd5afce214ca96a50db7770a570”h2NhNh3Œdjango”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ ý)%hEMNPhFˆubh)”}”(hŒqstrader”h#Œ0.2.2”h%Œpyh44b312d_0”h'K hhh(h)hŒ#qstrader-0.2.2-pyh44b312d_0.tar.bz2”h+Œ ab3cf7c6c7361ee87e3e29a8102f36bf”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/qstrader-0.2.2-pyh44b312d_0.tar.bz2”h0Œ@bd872cafa70244458dac1c816c99ce10ffda187bb01366c0b413951f9d2dce7b”h2NhNh3(Œclick 7.1.2”Œmatplotlib 3.0.3”Œnumpy 1.18.4”Œpandas 1.1.5”Œpython”Œseaborn 0.10.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØü¨_;dhEM0¿hFˆubh)”}”(hŒtespy”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ tespy-0.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ f36e3be864a031546f129458e076eaff”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tespy-0.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d518cf540ac1d5c04346ac80fa76bf86b6cb4a407757a4de33c8ca4f7bb2a94a”h2NhNh3(Œcoolprop >=6.4,<7”Œnumpy >=1.13.3,<2”Œpandas >=0.19.2,!=1.0.0,<2”Œpython >=3.6,<3.9”Œscipy >=0.19.1,<2”Œtabulate >=0.8.2,<0.9”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÒ}“™G®hEJÚ hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyh76afe40_2”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyh76afe40_2.tar.bz2”h+Œ 747daf2a8a36e63dc1d32032f8580823”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyh76afe40_2.tar.bz2”h0Œ@c8c3aaf4411462939ca638a76a84238b7ca2eb168bdcd9f45f7c1e27448ece69”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ ÀƒÊÁhEMÉ®hFˆubh)”}”(hŒlibsoup-cos7-aarch64”h#Œ2.62.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ1libsoup-cos7-aarch64-2.62.2-ha826a6f_1103.tar.bz2”h+Œ b502d88b92a30f91ebc452690443b0c1”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-aarch64-2.62.2-ha826a6f_1103.tar.bz2”h0Œ@923351a2a36a19854c6ead88d6fca66c60a4606bfb02778043e5cd3f0bfdc212”h2NhNh3Œ,glib-networking-cos7-aarch64 >=2.38.0 *_1103”Œ"glib2-cos7-aarch64 >=2.38.0 *_1103”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{ÅNùÛhEJG hFˆubh)”}”(hŒarosics”h#Œ0.9.24”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#arosics-0.9.24-pyh9f0ad1d_0.tar.bz2”h+Œ 03c66ac580eb40ba4ba33e85b8a1991d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/arosics-0.9.24-pyh9f0ad1d_0.tar.bz2”h0Œ@0535919b0cd612b6ac5f106034fb5bdcc832db869a1c9c219710b125a88b48fe”h2NhNh3(Œcmocean”Œfolium >=0.6.0”Œgdal”Œgeoarray >=0.8.30”Œgeojson”Œ	geopandas”Œmatplotlib-base”Œnumpy”Œpandas”Œplotly”Œpy-tools-ds >=0.14.28,<=0.15.11”Œpython”Œscikit-image”Œshapely”Œsix”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGA×Üy4èQìhEJSŸ%hFˆubh)”}”(hŒopensm-cos6-x86_64”h#Œ3.3.17”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.opensm-cos6-x86_64-3.3.17-h9b0a68f_105.tar.bz2”h+Œ 6c2c33f7414492ffc6f86b2f5f01e8a9”h.Œ\https://conda.anaconda.org/conda-forge/noarch/opensm-cos6-x86_64-3.3.17-h9b0a68f_105.tar.bz2”h0Œ@ddbf6857d65cfb68364c73cf74f9b72fa970f1902e29d02d19245506839cb01e”h2NhNh3Œ&opensm-libs-cos6-x86_64 ==3.3.17 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJ7É‡hEJüÿ hFˆubh)”}”(hŒr-naturalsort”h#Œ0.1.3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ,r-naturalsort-0.1.3-r40h6115d3f_1003.tar.bz2”h+Œ ad78f5500b797a79c483e38671f4df10”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-naturalsort-0.1.3-r40h6115d3f_1003.tar.bz2”h0Œ@6d72d29f107a9f02d2722d13a6871199c8e97db13331dfa8909678c4b61477f2”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×¬	9	º^hEM†YhFˆubh)”}”(hŒlabeling”h#Œ0.1.12”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$labeling-0.1.12-pyhd8ed1ab_1.tar.bz2”h+Œ ff05387f3369bbadcaa75a8e7a368d6d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/labeling-0.1.12-pyhd8ed1ab_1.tar.bz2”h0Œ@3f94c347cae079ea2afaf406c583d5b2534a75ee7f1c0eca853c45d06efdc244”h2NhNh3(Œnumpy <2”Œ
pillow <10”Œpython >=3.6”Œscipy <2”Œtifffile”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØša–ÎE¢hEMW,hFˆubh)”}”(hŒ	r-gmodels”h#Œ2.18.1.1”h%Œr42ha770c72_1”h'Khhh(h)hŒ(r-gmodels-2.18.1.1-r42ha770c72_1.tar.bz2”h+Œ e60ca69748a02d758f769887ec44a3e8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gmodels-2.18.1.1-r42ha770c72_1.tar.bz2”h0Œ@d0b186fa1f8c6f38c58cd3c48b19333fbbd34548e93540912bfeee9111e97880”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-gdata”Œr-mass”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐþªŸ¾hEJ±ô hFˆubh)”}”(hŒlibselinux-devel-cos6-x86_64”h#Œ2.0.94”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ9libselinux-devel-cos6-x86_64-2.0.94-h9b0a68f_1105.tar.bz2”h+Œ 881ba4f04ea06e018a490a20cc5f1627”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libselinux-devel-cos6-x86_64-2.0.94-h9b0a68f_1105.tar.bz2”h0Œ@4164e50069be0dd6a18e3f45f78ddfd725c8a35dd8f9266a25cb4a0089b34dff”h2NhNh3Œ&libselinux-cos6-x86_64 ==2.0.94 *_1105”Œ*libsepol-devel-cos6-x86_64 >=2.0.32 *_1105”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@]Ù “uhEJò hFˆubh)”}”(hŒr-sweidnumbr”h#Œ1.4.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-sweidnumbr-1.4.2-r36h6115d3f_0.tar.bz2”h+Œ 1e355275fdfa84181ab1bfe1afd59086”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sweidnumbr-1.4.2-r36h6115d3f_0.tar.bz2”h0Œ@c3dbe89c2023509ffbf3bf34001cbb6c8c941aa27e71d86073b9227565b32679”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-checkmate”Œr-lubridate >=1.5”Œ	r-stringr”t”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA× Cu ÄœhEJ hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-ppc64le”h#Œ1.20.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ?xorg-x11-server-common-cos7-ppc64le-1.20.4-hdf0574f_102.tar.bz2”h+Œ 016df3cb9bba6235a5cea3d535013d0a”h.Œmhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-ppc64le-1.20.4-hdf0574f_102.tar.bz2”h0Œ@99fff37a11b80636915489a42d125614bcf14d845779ee1d98b7b446ff1cb798”h2NhNh3Œ"pixman-cos7-ppc64le >=0.30.0 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;•ÄœhEMÅhFˆubh)”}”(hŒ
r-gridbase”h#Œ0.4_7”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ)r-gridbase-0.4_7-r36h6115d3f_1003.tar.bz2”h+Œ 36764f59971c7d18389d1cf975b1f233”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r36h6115d3f_1003.tar.bz2”h0Œ@c77786be10ac415de469eeb749b5ec3c0a3cd5b5bce2d11b28568f1bd1ddec1e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×«ê‚EÂhEJÕ hFˆubh)”}”(hŒmkdocs-gen-files”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+mkdocs-gen-files-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ ea350040131e9a179817f620a704411a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/mkdocs-gen-files-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f158e2239b0b4549dc5e0d38c973135e19f8def084f0d096faf2c6161d12b1a9”h2NhNh3Œmkdocs <2.0.0,>=1.0.3”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÁxÃdZhEM/hFˆubh)”}”(hŒr-tsoutliers”h#Œ0.6_8”h%Œr35h6115d3f_0”h'K hhh(h)hŒ(r-tsoutliers-0.6_8-r35h6115d3f_0.tar.bz2”h+Œ fae164324e6280716e354f8729f957c9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tsoutliers-0.6_8-r35h6115d3f_0.tar.bz2”h0Œ@5b2a150f856df9e40dbb2d2f408e195df089bea5f0fcddfb8b135920f4babc66”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-forecast”†”h9hºh@Œ
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pypd 1.1.*”Œpython”‡”h9h?h@Œ
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cachetools”Œgoogle-cloud-storage”Œhttpx”Œmorecantile >=3.1,<4.0”Œpydantic”Œpygeos >=0.10”Œpython >=3.7,<3.9”Œrasterio”Œrio-tiler >=3.1,<4.0”Œsupermercado”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‰ô0¥‘hhEM/fhFˆubh)”}”(hŒlibthai-cos7-aarch64”h#Œ0.1.14”h%Œha826a6f_1103”h'MOhhh(h)hŒ1libthai-cos7-aarch64-0.1.14-ha826a6f_1103.tar.bz2”h+Œ 6e78efedb3f7a6167ef899bfc5897e3b”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-aarch64-0.1.14-ha826a6f_1103.tar.bz2”h0Œ@7b94a1cd88e5cffb643b9ace0d1c5000772c433034c40bc39c638da3d3d803dd”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/|¡xÕhEJ›q hFˆubh)”}”(hŒlibidl-devel-cos7-x86_64”h#Œ0.8.14”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libidl-devel-cos7-x86_64-0.8.14-hdf0574f_1102.tar.bz2”h+Œ 7eed3fe2bc99bfb209cb5e4a8e786ab2”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-x86_64-0.8.14-hdf0574f_1102.tar.bz2”h0Œ@a69c1dfc65fd518ca26862eb83ae1b6187532876786c6475b3108f5da95087c7”h2NhNh3(Œ$glib2-devel-cos7-x86_64 >=2.0 *_1102”Œ"libidl-cos7-x86_64 ==0.8.14 *_1102”Œ"pkgconfig-cos7-x86_64 >=0.8 *_1102”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅiÁ‡\)hEM^ghFˆubh)”}”(hŒscramp”h#Œ1.4.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!scramp-1.4.4-pyhd8ed1ab_0.tar.bz2”h+Œ 2fac165a69d120a1689e1955ba1a4bfd”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/scramp-1.4.4-pyhd8ed1ab_0.tar.bz2”h0Œ@200e0a38729edeff573db643c4408eebf7cd4951b4b39a1fa9a9b331be9b2467”h2NhNh3Œasn1crypto >=1.5.1”Œimportlib-metadata >=1.0”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØØ¬Ö—hEM´ChFˆubh)”}”(hŒr-sqn”h#Œ1.0.6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-sqn-1.0.6-r41hc72bb7e_0.tar.bz2”h+Œ faa483530a674894f57e87b578c56f2f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sqn-1.0.6-r41hc72bb7e_0.tar.bz2”h0Œ@037619ff229f7550b73a8c14f4d5e9e4ec2e0e86b8ac17bfedadcdf12610ea97”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mclust >=3.2”Œr-nor1mix >=1.0_7”‡”h9hºh@ŒLGPL (>= 2.0)”hBŒLGPL”hDGAØ¨õ5«ohEJ&Ç hFˆubh)”}”(hŒ	hypercorn”h#Œ0.5.2”h%Œpy_0”h'K hhh(h)hŒhypercorn-0.5.2-py_0.tar.bz2”h+Œ 110807688e58d1761615b83315d8edac”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/hypercorn-0.5.2-py_0.tar.bz2”h0Œ@cf777f08a2f64cdc20a65238ff4b0302863a6647ba0afeec4d50da803da1dd70”h2NhNh3(Œh11 >=0.8.1”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÒFŽú^5hEMRëhFˆubh)”}”(hŒrecursivenodes”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)recursivenodes-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ e5195d830db61043322b87fbca816e72”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/recursivenodes-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c368035bd219ff253fd3edc52ed7102acbe8a3824f175f89864066595a72bbcb”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ§A0Í²-hEMg¡hFˆubh)”}”(hŒambiance”h#Œ1.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#ambiance-1.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 35c3bea0c3710479a8a6cabafedf6cf9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/ambiance-1.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@bbce442610e703692f4e1c8feda4c4bdfadd0e310b8d39b72a06b7dcf860bc70”h2NhNh3Œnumpy”Œpython >=3.6”Œscipy”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÌ)JMOßhEMÔLhFˆubh)”}”(hŒdowhy”h#Œ0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒdowhy-0.8-pyhd8ed1ab_0.tar.bz2”h+Œ 147760d6d92725e2cfee989c717899a9”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/dowhy-0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@288804aeb86a084f949dc6d8a6258a8850a220029d5012871fc0736712a9b576”h2NhNh3(Œnetworkx >=2.0”Œnumpy >=1.15”Œpandas >=0.24”Œpydot >=1.4”Œpython >=3.5”Œscikit-learn”Œscipy”Œstatsmodels”Œsympy >=1.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØµ¤¦üIºhEJ¶ô hFˆubh)”}”(hŒ
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Apache-2.0”hBŒApache”hDGA×}S•hEMëÓhFˆubh)”}”(hŒlibxml2-devel-cos7-ppc64le”h#Œ2.9.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libxml2-devel-cos7-ppc64le-2.9.1-h9d98e8f_1104.tar.bz2”h+Œ cda2d0bc20b93bd33e8d54acb12d0054”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos7-ppc64le-2.9.1-h9d98e8f_1104.tar.bz2”h0Œ@803ade5a9105344f17e749b325a242f10236257d3a42d440d97116405c520d6d”h2NhNh3Œ#libxml2-cos7-ppc64le ==2.9.1 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É}lzŸ¾hEJŸ, hFˆubh)”}”(hŒtensor-sensor”h#Œ1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&tensor-sensor-1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0262152a92b38031d5b1cdb4a1eee62d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/tensor-sensor-1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@abc9652e4fe08a575f9727596af0b5dd30ca0088da59b5225c88c3763b819c46”h2NhNh3(Œipython”Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œpython-graphviz >=0.14.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØmM|ƒhEMH`hFˆubh)”}”(hŒr-pmcmr”h#Œ4.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-pmcmr-4.4-r41hc72bb7e_0.tar.bz2”h+Œ c51743826b95f9de5fbf187323b099d1”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pmcmr-4.4-r41hc72bb7e_0.tar.bz2”h0Œ@7b0fa051ac6c2d6a907cf37fc46d6395c2e23de36a3f7c065c5f79db6b597705”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØV&U±ÊÁhEJ+ hFˆubh)”}”(hŒat-spi-cos6-x86_64”h#Œ1.28.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ/at-spi-cos6-x86_64-1.28.1-ha826a6f_1103.tar.bz2”h+Œ 05547f4dad9a8e81a12d15d39f84044d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/at-spi-cos6-x86_64-1.28.1-ha826a6f_1103.tar.bz2”h0Œ@aa7c8cf1c8ab058b8b0d72839833b73004bfcba6fe878ae6a815d9a507c2b104”h2NhNh3(Œatk-cos6-x86_64 >=1.13.0 *_1103”Œ gtk2-cos6-x86_64 >=2.10.0 *_1103”Œ!gtk2-cos6-x86_64 >=2.24.23 *_1103”Œ$libbonobo-cos6-x86_64 >=2.4.0 *_1103”Œ!orbit2-cos6-x86_64 >=2.6.0 *_1103”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ4µ4záhEJ° hFˆubh)”}”(hŒdocspec”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"docspec-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6ddcc162ef11d6a5f7ef0f0d9caf33e0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/docspec-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@df9a96bc05d10b519a13238dd0d135b8b54f252ff9c1365550499595c641a0da”h2NhNh3Œdatabind.core >=1.0.0,<2.0.0”Œdatabind.json >=1.0.0,<2.0.0”Œpython >=3.7,<4.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØS‚º¬hEM½2hFˆubh)”}”(hŒfreetype-devel-cos6-x86_64”h#Œ2.3.11”h%Œha826a6f_103”h'Kghhh(h)hŒ6freetype-devel-cos6-x86_64-2.3.11-ha826a6f_103.tar.bz2”h+Œ ebfa0a219d6b4e1f556cee2d35115606”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos6-x86_64-2.3.11-ha826a6f_103.tar.bz2”h0Œ@7f33d4b2a707908ffb629fba81c9b2f657fabe9d0642f1d5224759719d618ac7”h2NhNh3Œ#freetype-cos6-x86_64 ==2.3.11 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒFTL or GPLv2+”hBŒGPL2”hDGA×Æ0`ÿ
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r-threeway”h#Œ1.1.3”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ)r-threeway-1.1.3-r40h6115d3f_1002.tar.bz2”h+Œ 68cea0beac117d30feeda86b77e79fea”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-threeway-1.1.3-r40h6115d3f_1002.tar.bz2”h0Œ@7329f43fa81328f95b17a0ff7e6938cf5c27b47d21532cd6f827f990ac5f8e06”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬IçdZhEJ†Ç hFˆubh)”}”(hŒlibxau-devel-cos7-aarch64”h#Œ1.0.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libxau-devel-cos7-aarch64-1.0.8-h9b0a68f_1105.tar.bz2”h+Œ fe4d4086b37cd63905c269b846c04b0c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos7-aarch64-1.0.8-h9b0a68f_1105.tar.bz2”h0Œ@c346d41e4deffd3ea3b765a3c750c59a135a93fda2df733d615be4199ddc5c54”h2NhNh3Œ"libxau-cos7-aarch64 ==1.0.8 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Žw1hshEM'hFˆubh)”}”(hŒr-venndiagram”h#Œ1.7.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-venndiagram-1.7.3-r40hc72bb7e_0.tar.bz2”h+Œ 0ff2899f34bd9cdd8b31f9ff66c3588b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-venndiagram-1.7.3-r40hc72bb7e_0.tar.bz2”h0Œ@b6c76d1a2493e8be4a319db7977b0929710ffa5e5dfcb02cd2cdb3eb8189b8f8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-futile.logger”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ•—›¾$ÝhEJÂ hFˆubh)”}”(hŒpynomaly”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pynomaly-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 02abd7c1997c5f3576a6c29322474f41”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pynomaly-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@2e0e5deeb58da3d701b0305df9311c83ece1217fb3d3680a0817e9de26c18325”h2NhNh3Œnumpy”Œpython >=3.7”Œpython-utils”‡”h9h?h@Œ
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virtualenv”t”h9h?h@ŒBSD 3-clause”hBŒBSD”hDGAÖÕÇ÷ØbhEJ­ÿ hFˆubh)”}”(hŒcups-devel-cos7-x86_64”h#Œ1.6.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2cups-devel-cos7-x86_64-1.6.3-h9b0a68f_1105.tar.bz2”h+Œ 94efd92cc29237b7bfb7313d1364bb89”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos7-x86_64-1.6.3-h9b0a68f_1105.tar.bz2”h0Œ@79401b280e20933d0e14ad017eb881f37ec408cc9363b54c9d047bef6d0da995”h2NhNh3Œ$cups-libs-cos7-x86_64 ==1.6.3 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@jËéhshEMÒïhFˆubh)”}”(hŒr-climate4r.climdex”h#Œ0.2.2”h%Œr41ha770c72_0”h'K hhh(h)hŒ/r-climate4r.climdex-0.2.2-r41ha770c72_0.tar.bz2”h+Œ 23ba0d2f3076349795ad8e2f1251e2e5”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-climate4r.climdex-0.2.2-r41ha770c72_0.tar.bz2”h0Œ@ad661fe0ac17e698353cdb2e13ac983cd8040beb94a624e294246997a5abbb0a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-climdex.pcic >=1.1_6”Œ
r-magrittr”Œr-pcict”Œr-transformer >=1.4.4”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢%ø¢°!hEJãQ£ hFˆubh)”}”(hŒpython-u2flib-server”h#Œ5.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ/python-u2flib-server-5.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ 955b8caffea849c346c03ef9c698bd1d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/python-u2flib-server-5.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@a304ae8c31a4e3b719acc15cefef24a2c166956c10363d06b1a0c0680dfb9ce2”h2NhNh3Œpython”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×Ñ&-ÂhEM§;hFˆubh)”}”(hŒpyrender”h#Œ0.1.45”h%Œpyh8a188c0_0”h'K hhh(h)hŒ$pyrender-0.1.45-pyh8a188c0_0.tar.bz2”h+Œ ad903f284e39c04a1fc39b59814bea7b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyrender-0.1.45-pyh8a188c0_0.tar.bz2”h0Œ@bc675412854325212c546fab607d4fdc72088ed8e7435b76889d8406b201c786”h2NhNh3(Œfreetype-py”Œimageio”Œnetworkx”Œnumpy”Œpillow”Œpyglet >=1.4.10”Œpyopengl 3.1.0”Œpython >=3.6”Œscipy”Œsix”Œtrimesh”t”h9h?h@ŒMIT”hBŒMIT”hDGAØfþI¡hshEJÅ` hFˆubh)”}”(hŒ	intervals”h#Œ0.9.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$intervals-0.9.2-pyhd8ed1ab_0.tar.bz2”h+Œ be28e970d7aff97d7018db2e604ca6c8”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/intervals-0.9.2-pyhd8ed1ab_0.tar.bz2”h0Œ@74a8aebfd3838e97aa59bba0aa5518e00b6c14fb79b3bed5b88c85546c3abc31”h2NhNh3Œinfinity >=0.1.3”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ7¼& ÅhEM¾,hFˆubh)”}”(hŒ	structout”h#Œ0.1.44”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%structout-0.1.44-pyhd8ed1ab_0.tar.bz2”h+Œ 5ffc5d7685217e9fb43260d0c16ac45b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/structout-0.1.44-pyhd8ed1ab_0.tar.bz2”h0Œ@2bb905df7dca775bf7d606afbb6db0db89f98d452a65fc16433edf61cfa58c5a”h2NhNh3(Œnetworkx”Œpython >=3.8”Œscipy”Œsty”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ½B¦çÎÙhEMrhFˆubh)”}”(hŒpyramid_mongodb2”h#Œ1.6.5”h%Œpy_0”h'K hhh(h)hŒ#pyramid_mongodb2-1.6.5-py_0.tar.bz2”h+Œ d19e90741689a088c838651e28bb97d9”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pyramid_mongodb2-1.6.5-py_0.tar.bz2”h0Œ@65dbadc8d9f2eaa9ffbfb619a28a62f0393def1dce9bc494dac95b36b76702fb”h2NhNh3(Œpymongo”Œpyramid”Œpyramid_debugtoolbar”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ƒH&=qhEM½+hFˆubh)”}”(hŒr-gghoriplot”h#Œ1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-gghoriplot-1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ fb52ade4b5af16163547d70da98c7de4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-gghoriplot-1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@d76a04da8ca1924f155c9b7a0effe53b0fe98e2b8933f2e3a1322514587f9448”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-glue”Œ
r-magrittr”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒw.¿;dhEJ*ø7 hFˆubh)”}”(hŒr-chemometrics”h#Œ1.4.2”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ-r-chemometrics-1.4.2-r41ha770c72_1003.tar.bz2”h+Œ a5e35cff8123abca5b6340593faeffa7”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-chemometrics-1.4.2-r41ha770c72_1003.tar.bz2”h0Œ@8cdf57760f1a862761534f2d776299ef58f6801a90abbaf09fd5df77d1b958b0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-class”Œr-e1071”Œr-lars”Œr-mass”Œr-mclust”Œr-nnet”Œr-pcapp”Œr-pls”Œr-robustbase”Œr-rpart”Œr-som”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØÒœìÝ/hEJ?@? hFˆubh)”}”(hŒr-pwr”h#Œ1.3_0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ!r-pwr-1.3_0-r40hc72bb7e_2.tar.bz2”h+Œ 5974124a46a055e2277d3543ef1cd9fd”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-pwr-1.3_0-r40hc72bb7e_2.tar.bz2”h0Œ@3b51cd201541189861d5a16b8081e4cc6c74e86e2d6e3b64bc766c8f84b39de4”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ[ÃXì¼jhEJ“³ hFˆubh)”}”(hŒr-metap”h#Œ1.1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ!r-metap-1.1-r40h6115d3f_2.tar.bz2”h+Œ 3d4a725105b63ca8aa66d7850fa3a4a1”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-metap-1.1-r40h6115d3f_2.tar.bz2”h0Œ@7bd06b9467df860b3b193887744b47d2860b72f855ff85e5667549c3880c14f0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-lattice”Œr-rdpack”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¬	¦ùhshEJB¨ hFˆubh)”}”(hŒexpat-cos7-ppc64le”h#Œ2.1.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.expat-cos7-ppc64le-2.1.0-h9d98e8f_1104.tar.bz2”h+Œ 29d51c4021ec427d369801fece05d4fb”h.Œ\https://conda.anaconda.org/conda-forge/noarch/expat-cos7-ppc64le-2.1.0-h9d98e8f_1104.tar.bz2”h0Œ@eb827bda8bf01404683d4f4fef110981f829f16cc5c99b4a84c203d81e8a12c1”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{RVhEJÝ` hFˆubh)”}”(hŒrobotframework-pythonlibcore”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7robotframework-pythonlibcore-2.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 29a329f0b817038d27d7bdfb2ca04b5a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/robotframework-pythonlibcore-2.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@264fac2be075031e04a9e3ea7dbd19ea0203193a48d7528f70a2894199bf6e98”h2NhNh3Œpython >=2.7”Œrobotframework”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ûÓ`ÆVhEMg6hFˆubh)”}”(hŒjazzit”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!jazzit-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 27276e05bfd63e99f1248c6539ac401d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/jazzit-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@69df1b19771e0031c1170bf6e750c3d0b7448c185c6b9646539f0f3798d0b45c”h2NhNh3(Œmutagen >=1.45.1”Œplaysound >=1.2.2”Œpyfiglet >=0.8.post1”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¼BÔnÈ´hEJ’ä/ hFˆubh)”}”(hŒlibnl3-cos6-x86_64”h#Œ3.2.21”h%Œha826a6f_103”h'Kghhh(h)hŒ.libnl3-cos6-x86_64-3.2.21-ha826a6f_103.tar.bz2”h+Œ de6f60ce24163e1ab6111245e336b68c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl3-cos6-x86_64-3.2.21-ha826a6f_103.tar.bz2”h0Œ@0d84f0bf34952a9f998959ad622e0e5a087f9ae6683559eff3d5fb14afad5aa3”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×È,Ÿ.hEJÿ[ hFˆubh)”}”(hŒ	r-heplots”h#Œ1.4_2”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ%r-heplots-1.4_2-r42hc72bb7e_0.tar.bz2”h+Œ bc98949daac1206021081ea233ac3cc9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-heplots-1.4_2-r42hc72bb7e_0.tar.bz2”h0Œ@bc44b06bac2c50d6415783ad7d4ebe4519115f849b26716c35758d146b902ed4”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-car >=3.0”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÔ<eéG®hEJRÌ hFˆubh)”}”(hŒr-pkgconfig”h#Œ2.0.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-pkgconfig-2.0.3-r42hc72bb7e_2.tar.bz2”h+Œ 25fa2c5cbea8f1171413e01150626691”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-pkgconfig-2.0.3-r42hc72bb7e_2.tar.bz2”h0Œ@0a44210c64115016f122433a8dd127c0c5563f00277c10aa602e24a8b157d7a1”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ&hFvÉhEMàghFˆubh)”}”(hŒ
r-anesrake”h#Œ0.80”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ%r-anesrake-0.80-r36hc72bb7e_0.tar.bz2”h+Œ 84d62ac7dc2497f22daaf33c5bc5e34c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-anesrake-0.80-r36hc72bb7e_0.tar.bz2”h0Œ@e2b1f253523abee40b2005ab276c3a9de30369cee5fc92d11a5dbfb0a8845344”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-hmisc”Œ	r-weights”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ[ûžéyhEJW hFˆubh)”}”(hŒempy”h#Œ3.3.4”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒempy-3.3.4-pyh9f0ad1d_1.tar.bz2”h+Œ e4be10fd1a907b223da5be93f06709d2”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/empy-3.3.4-pyh9f0ad1d_1.tar.bz2”h0Œ@75e04755df8d8db7a7711dddaf68963c11258b755c9c24565bfefa493ee383e3”h2NhNh3Œpython”…”h9h?h@ŒLGPL-2.1”hBŒGPL”hDGA×£Îl´IºhEMhFˆubh)”}”(hŒlibibumad-devel-cos6-x86_64”h#Œ1.3.9”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7libibumad-devel-cos6-x86_64-1.3.9-h9d98e8f_1104.tar.bz2”h+Œ d31b5642cc7473fba15f7cbe9095aba2”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libibumad-devel-cos6-x86_64-1.3.9-h9d98e8f_1104.tar.bz2”h0Œ@481c229d57f1e4334265de4fe4d47727e3744ce2aa64cb0cf6104d9bc14d133d”h2NhNh3Œ$libibumad-cos6-x86_64 ==1.3.9 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É{Ýt¼hEM•=hFˆubh)”}”(hŒlibxml2-cos7-ppc64le”h#Œ2.9.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/libxml2-cos7-ppc64le-2.9.1-hdf0574f_102.tar.bz2”h+Œ 75f6dea3971103a84eb370b27a828b5e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-ppc64le-2.9.1-hdf0574f_102.tar.bz2”h0Œ@37da0a0f8cad41f72aba477abe6b3368e5c5dc5813ba33409feb3779fd550b4a”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åi5E¢hEJÀ hFˆubh)”}”(hŒr-anocva”h#Œ0.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-anocva-0.1.1-r40hc72bb7e_0.tar.bz2”h+Œ c1f2e29782eee1c257f1b6e300b54b23”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-anocva-0.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@cc44933f32fc946e6b41abbbd1b3dcb589b6220734fff8d2dde023c10d06fbaf”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ/D€/hEM4ãhFˆubh)”}”(hŒjsonapi-client”h#Œ0.9.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)jsonapi-client-0.9.9-pyhd8ed1ab_0.tar.bz2”h+Œ d624e78567733000ede7f04f9788ba64”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/jsonapi-client-0.9.9-pyhd8ed1ab_0.tar.bz2”h0Œ@4cf25a19070ea45ee6f38edd3820509d74cd9f1b71e3eaace7bcfa79e8eea8d9”h2NhNh3(Œaiohttp”Œ
jsonschema”Œpython >=3.6”Œrequests”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØþÇaë…hEMî]hFˆubh)”}”(hŒr-leafem”h#Œ0.2.0”h%Œr40h785f33e_0”h'K hhh(h)hŒ$r-leafem-0.2.0-r40h785f33e_0.tar.bz2”h+Œ 8e3293394009239b0cea0c9d412f95cf”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leafem-0.2.0-r40h785f33e_0.tar.bz2”h0Œ@6e9a27546473fcf1a546c55fb7b06011d0688e367b5968df10cb3871b85632d5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-htmltools >=0.3”Œr-htmlwidgets”Œr-leaflet >=2.0.1”Œ	r-mapdeck”Œr-png”Œr-raster”Œr-scales >=1.0.0”Œr-sf”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ–ÄkÑ&éhEJí4 hFˆubh)”}”(hŒ	r-elitism”h#Œ1.0.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-elitism-1.0.4-r42hc72bb7e_1.tar.bz2”h+Œ 208de0bddbca625b808ba919b041b337”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-elitism-1.0.4-r42hc72bb7e_1.tar.bz2”h0Œ@1e889a748d2e86ed0efd9e40ff900d5afc45393a9d59c11a2454e489744e741f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-mass”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ…<8bNhEJ˜° hFˆubh)”}”(hŒr-smotefamily”h#Œ1.3.1”h%Œr36h6115d3f_3”h'Khhh(h)hŒ)r-smotefamily-1.3.1-r36h6115d3f_3.tar.bz2”h+Œ 4c7ec7ee2080f6764cdec0d1fafbe726”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-smotefamily-1.3.1-r36h6115d3f_3.tar.bz2”h0Œ@c97a9481114de0c5538a4c04fc316afca26a7992b79e33825b3f5a54d4189abb”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dbscan”Œr-fnn”Œr-igraph”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬8ò¬hEJÌ‡ hFˆubh)”}”(hŒcachey”h#Œ0.2.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!cachey-0.2.1-pyh9f0ad1d_0.tar.bz2”h+Œ 8583ac4d33e58a116d0a93c5e99e0fff”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cachey-0.2.1-pyh9f0ad1d_0.tar.bz2”h0Œ@c542041228ec2a3b0641891fc6ce986726397a437754acb35b594e20134958a8”h2NhNh3Œheapdict”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÃãNƒÆ¨hEM¬$hFˆubh)”}”(hŒspecclassify”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'specclassify-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 11d0236574e9f70d72e8194bfb2ad66f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/specclassify-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7ae0f830aaf4253c94f05807ffacdd4a6e5ac2af850f519f064a86c3b8da86b7”h2NhNh3(Œgeoarray >=0.15.0”Œmatplotlib-base”Œnumpy”Œpy-tools-ds >=0.18.0”Œpython >=3.6”Œscikit-learn”Œtqdm”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØn¹`{hEMzNhFˆubh)”}”(hŒr-textfeatures”h#Œ0.3.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ*r-textfeatures-0.3.3-r36h6115d3f_1.tar.bz2”h+Œ f1f169824dc200809691f595783e680a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-textfeatures-0.3.3-r36h6115d3f_1.tar.bz2”h0Œ@73a0465cf4a6af8534e4e7627eb40dee85e1d3feb2dd40d412a3f4dfeb4063d6”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-dplyr”Œr-purrr”Œr-rlang”Œ
r-text2vec”Œr-tfse”Œr-tibble”Œr-tokenizers”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬J7Ú\hEJ+& hFˆubh)”}”(hŒr-choroplethrmaps”h#Œ1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ-r-choroplethrmaps-1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ 391a4f40b476e80413a72aaf91e59ca9”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-choroplethrmaps-1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@0bae5061b09b67fa05918127a8e06fc286ca5c673ea907fc088c7a01f6644a8b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÒ›ÝDÝ/hEJÎì! hFˆubh)”}”(hŒ	r-dinamic”h#Œ1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-dinamic-1.0-r42hc72bb7e_1.tar.bz2”h+Œ abdf7e725d688d568287c06d21497248”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dinamic-1.0-r42hc72bb7e_1.tar.bz2”h0Œ@427e5dd96c9ed215a4d8da2949fdf968173a90b4c37c9360c3d4173b698170cd”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ‹/äjhEJ‘ hFˆubh)”}”(hŒ
dash-table”h#Œ5.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%dash-table-5.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6b2db0b94c1aed6318a0c08c2289be90”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/dash-table-5.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b91c596c1f9d877a1581a296f49938f8a94066d6167ac7519225a30e7ee060c4”h2NhNh3Œ
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r-cubature”Œ	r-pbapply”Œ
r-quantreg”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×á"G
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hc42de5b_0”h'K hhh(h)hŒ(rb-jekyll-swiss-1.0.0-hc42de5b_0.tar.bz2”h+Œ c15ad189f1e989ad866852878cdd1000”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-swiss-1.0.0-hc42de5b_0.tar.bz2”h0Œ@c00275b8a49ff0f7e4151e84fb7f8201528e77a2b6d46aecb1416ca833121fe9”h2NhNh3Œrb-jekyll >=3.3,<4”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[]/›Æ¨hEM¼thFˆubh)”}”(hŒlibxdamage-devel-cos7-x86_64”h#Œ1.1.4”h%Œh1795305_1101”h'MMhhh(h)hŒ8libxdamage-devel-cos7-x86_64-1.1.4-h1795305_1101.tar.bz2”h+Œ 6844ff5cdc3bfbe06624ed601de48bab”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos7-x86_64-1.1.4-h1795305_1101.tar.bz2”h0Œ@661bd32c4ff71e1d549d9685e2005e8234e3af78dfa8e09f7e21035487b96caf”h2NhNh3Œlibxdamage-cos7-x86_64 1.1.4”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&Eâ^5hEM“hFˆubh)”}”(hŒr-aptreeshape”h#Œ1.5_0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-aptreeshape-1.5_0.1-r41hc72bb7e_0.tar.bz2”h+Œ 0e891b6ee1f6325307106f73dd17d031”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-aptreeshape-1.5_0.1-r41hc72bb7e_0.tar.bz2”h0Œ@31edfd85300bfbfb2f85822df96a28335e88cd62ba59d406c3ded2d8a8d5aaf1”h2NhNh3(Œr-ape”Œr-base >=4.1,<4.2.0a0”Œr-coda”Œ
r-cubature”Œ	r-pbapply”Œ
r-quantreg”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+M` ÅhEJU+ hFˆubh)”}”(hŒmypy”h#Œ0.812”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmypy-0.812-pyhd8ed1ab_0.tar.bz2”h+Œ 517ce8d8863ba1d315ea99854f9e8449”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/mypy-0.812-pyhd8ed1ab_0.tar.bz2”h0Œ@956a24faad4ec440175ec20fb1c4558b1c34230034a3bf3bc8faecfcd0a6db7f”h2NhNh3(Œmypy_extensions >=0.4.3,<0.5.0”Œpsutil >=4.0”Œpython >=3.5”Œtyped-ast >=1.4.0,<1.5.0”Œtyping_extensions >=3.7.4”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÀÿKÇhEJ8á hFˆubh)”}”(hŒeacc”h#Œ3.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒeacc-3.1.6-pyhd8ed1ab_0.tar.bz2”h+Œ 50a6a9ee577624d49ac93ba713409a23”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/eacc-3.1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@e26268b2d6691e3c1a1eaf525bce3cbb8a4d7bc643738235ed8a47e54a34216d”h2NhNh3Œpython >=3.6”…”h9h?h@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAØWÖPòÀƒhEM÷[hFˆubh)”}”(hŒ	r-lsmeans”h#Œ2.30_0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ&r-lsmeans-2.30_0-r35h6115d3f_1.tar.bz2”h+Œ 9f1118ba533da455fa2fb20b60b5846b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lsmeans-2.30_0-r35h6115d3f_1.tar.bz2”h0Œ@cbab90438b1283c38da912af735208ce955aba47cb1b7b345ebb540a7e652c80”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-emmeans >=1.3”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×LKQxÕhEMb¾hFˆubh)”}”(hŒlibuuid-devel-cos6-x86_64”h#Œ2.17.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libuuid-devel-cos6-x86_64-2.17.2-h9b0a68f_1105.tar.bz2”h+Œ 85fe11e1aa26370e53039d1346bd3666”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libuuid-devel-cos6-x86_64-2.17.2-h9b0a68f_1105.tar.bz2”h0Œ@80b13bf6d34bc9c0849e651ebdc53e175b1ddaa9f54fd60f8bc13eb3b42e583c”h2NhNh3Œ#libuuid-cos6-x86_64 ==2.17.2 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒBSD”hBŒBSD”hDGAØ@Y4!%hEMòwhFˆubh)”}”(hŒr-filematrix”h#Œ1.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ)r-filematrix-1.3-r36h6115d3f_1002.tar.bz2”h+Œ b73be4f552cd93662c86dcb12d8cf754”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-filematrix-1.3-r36h6115d3f_1002.tar.bz2”h0Œ@d0a9603fe26ac2d30dfaa22213ab28626ccb4720c538ec50eb5f0dd94e64847f”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×¬Ï‚ì¬hEJ§° hFˆubh)”}”(hŒkernel-headers-cos7-ppc64le”h#Œ3.10.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7kernel-headers-cos7-ppc64le-3.10.0-h9b0a68f_105.tar.bz2”h+Œ 4fe7babf4aa18faef62cdf48bd7a17fa”h.Œehttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos7-ppc64le-3.10.0-h9b0a68f_105.tar.bz2”h0Œ@fbf207a0dc462979aa5e4d9ab321c8f513bed966ea42043409a3c276f2adc74f”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@ˆT&vÉhEJW‡ hFˆubh)”}”(hŒr-homomorpher”h#Œ0.2_2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-homomorpher-0.2_2-r41hc72bb7e_1.tar.bz2”h+Œ 5262b5b770dad486ef647e6979eb93c5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-homomorpher-0.2_2-r41hc72bb7e_1.tar.bz2”h0Œ@25fd616dd19a629978973fb78f432a9694cddddb1f76490a6433121c3cab4a72”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gmp”Œr-r6”Œr-sodium”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ©ª®hEJª hFˆubh)”}”(hŒr-xopen”h#Œ1.0.0”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ&r-xopen-1.0.0-r42hc72bb7e_1004.tar.bz2”h+Œ 36cb7361687e8850f2e4d95463b991a2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xopen-1.0.0-r42hc72bb7e_1004.tar.bz2”h0Œ@9ab33f8667b572a82fed9a2473fe025e3758cad891c492ca3c4a9f9132634272”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-processx”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ—Æ"~úhEMnvhFˆubh)”}”(hŒ!xorg-x11-util-macros-cos7-ppc64le”h#Œ1.19.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ=xorg-x11-util-macros-cos7-ppc64le-1.19.0-hdf0574f_102.tar.bz2”h+Œ 50c6caef36b2b79939363281558625e0”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-ppc64le-1.19.0-hdf0574f_102.tar.bz2”h0Œ@2cf8494ad6b63a6d3734800c75abae765bafc9c27a8675b1cb6afd85186e9771”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;€àr°hEM¨hFˆubh)”}”(hŒfooof”h#Œ1.0.0”h%Œpyh5ca1d4c_0”h'K hhh(h)hŒ fooof-1.0.0-pyh5ca1d4c_0.tar.bz2”h+Œ 32718772f6d6e1e7f42a0140fd1c5ec0”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fooof-1.0.0-pyh5ca1d4c_0.tar.bz2”h0Œ@c9edc9e09a696e7e92cd0de07bbf8a3da55c93677708439567004bcb42463261”h2NhNh3Œnumpy”Œpython >=3.5”Œscipy >=0.19.0”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×Ãc*r°hEJÑ/ hFˆubh)”}”(hŒr-gsubfn”h#Œ0.7”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ%r-gsubfn-0.7-r35h6115d3f_1001.tar.bz2”h+Œ cd94e3fad10dd7d5b1950ee96d6837fc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gsubfn-0.7-r35h6115d3f_1001.tar.bz2”h0Œ@40751ca9ced9b81619909da3fbdf7a67d41d1108d7dc9bc55e15b36fe4950bd6”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-proto”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L{OY‡hEJ ² hFˆubh)”}”(hŒr-assertive.strings”h#Œ0.0_3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ2r-assertive.strings-0.0_3-r41hc72bb7e_1003.tar.bz2”h+Œ a7da828607490008988f8362d4f78405”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.strings-0.0_3-r41hc72bb7e_1003.tar.bz2”h0Œ@88945e8d9ba3b48f184757edb5281ff432b6a7071965dfdd8f10af5d270a24af”h2NhNh3(Œr-assertive.base >=0.0_2”Œr-assertive.types”Œr-base >=4.1,<4.2.0a0”Œ	r-stringi”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*úIs¥ãhEJH hFˆubh)”}”(hŒlibibmad-cos7-ppc64le”h#Œ1.3.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2libibmad-cos7-ppc64le-1.3.13-h9b0a68f_1105.tar.bz2”h+Œ bcaf3c1b739a29aabf5b6a93a2902580”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libibmad-cos7-ppc64le-1.3.13-h9b0a68f_1105.tar.bz2”h0Œ@d1b22fa966cde9d466277c6df6f257ac195b818b4af7d9d1897f041bccf37f6a”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ³ÿÈÇl‹hEJ%) hFˆubh)”}”(hŒ	floweaver”h#Œ2.0.0a4”h%Œpy_0”h'K hhh(h)hŒfloweaver-2.0.0a4-py_0.tar.bz2”h+Œ 2a2fa5e7713fd0306db1a958b4d670d1”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/floweaver-2.0.0a4-py_0.tar.bz2”h0Œ@455c8eb506aaad4ff4e9ceb869edb180de97d4c4c1f983f4f00e82c82322421c”h2NhNh3(Œattrs”Œnetworkx >=2.0”Œnumpy”Œ
palettable”Œpandas”Œ
python >=3”t”h9h?h@ŒMIT”hBŒMIT”hDGA×8øO¸RhEM_]hFˆubh)”}”(hŒ	gradsflow”h#Œ0.0.8”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$gradsflow-0.0.8-pyhd8ed1ab_1.tar.bz2”h+Œ 8aafc81f43abd956afcd1881d01a2c9b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/gradsflow-0.0.8-pyhd8ed1ab_1.tar.bz2”h0Œ@9f9ec54b870d66a27d367efd17296a14af4bfc59fa63bf1bf7f44216e61aee7b”h2NhNh3(Œaccelerate >=0.5.0”Œloguru >=0.5”Œpython >=3.7”Œpytorch >=1.4”Œray-default >=1.6.0”Œray-tune >=1.6.0”Œrich”Œsmart_open >=5.1”Œtimm”Œtorchmetrics >=0.6.0”Œtorchvision”Œwandb >=0.12.9”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ{‚À¸ ÅhEMØ™hFˆubh)”}”(hŒcairo-devel-cos6-x86_64”h#Œ1.8.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3cairo-devel-cos6-x86_64-1.8.8-hdf0574f_1102.tar.bz2”h+Œ 5f604a8df9e5bd5ac294593495fdcb76”h.Œahttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos6-x86_64-1.8.8-hdf0574f_1102.tar.bz2”h0Œ@d50163a4ccad6e8128e668da953c7a291891cc827775c1eb8e425e93cbcfdcfb”h2NhNh3(Œ cairo-cos6-x86_64 ==1.8.8 *_1102”Œ)fontconfig-devel-cos6-x86_64 >=2.0 *_1102”Œ)freetype-devel-cos6-x86_64 >=2.1.9 *_1102”Œ(pixman-devel-cos6-x86_64 >=0.12.0 *_1102”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×ÅjAE¢hEJ] hFˆubh)”}”(hŒr-multigroup”h#Œ0.4.5”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-multigroup-0.4.5-r40hc72bb7e_1.tar.bz2”h+Œ f975bd74aa4e9069d644aef0a96427e3”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-multigroup-0.4.5-r40hc72bb7e_1.tar.bz2”h0Œ@45fade8c810bc1b557a3279d0431d2637ad1616ba8dae1ed60a936d31a150554”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+{ë÷ÏhEJ hFˆubh)”}”(hŒlibxft-cos6-x86_64”h#Œ2.3.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.libxft-cos6-x86_64-2.3.2-h9b0a68f_1105.tar.bz2”h+Œ 09f9efeb86e16cdf87927110ca782044”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos6-x86_64-2.3.2-h9b0a68f_1105.tar.bz2”h0Œ@561fe57ef1f0f31baa6e332d0c6a6a3f0268504f0418d76d5793f911df25b4b2”h2NhNh3Œ#fontconfig-cos6-x86_64 >=2.2 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@],í‘hEM¹ÛhFˆubh)”}”(hŒlibnl3-cos7-ppc64le”h#Œ3.2.28”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/libnl3-cos7-ppc64le-3.2.28-h9b0a68f_105.tar.bz2”h+Œ fee368ef2802f675119782163e194056”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-ppc64le-3.2.28-h9b0a68f_105.tar.bz2”h0Œ@e9819e0b7401ffabc91b5f4e2da910fac9d7bd9497f6c3dec8f3a37e8135e30c”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@†ég¾whEJ hFˆubh)”}”(hŒr-itertools”h#Œ0.1_3”h%Œr36_1002”h'Mêhhh(h)hŒ"r-itertools-0.1_3-r36_1002.tar.bz2”h+Œ 07cbf6ccc872278ec5f88d9485cf0271”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-itertools-0.1_3-r36_1002.tar.bz2”h0Œ@0ce0fc2ac2a668c52a971da33546f6f5208fb49105e675ca8da8f9b2ccdd81c6”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-iterators >=1.0.0”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LDVkt¼hEJ_é hFˆubh)”}”(hŒtinysegmenter”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&tinysegmenter-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 8ae23f389b378eba7f8937438343f42c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/tinysegmenter-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@b81aaa53812d119d91ccaf3005e70458cddaac30a92a4b3f43b0594a94be2589”h2NhNh3Œpython >=2.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ]o«ƒC–hEM>hFˆubh)”}”(hŒpycox”h#Œ0.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pycox-0.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ e2c16211dec5878badb1350a95ccda5a”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pycox-0.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@90fcfa5dd59d90bcd15f203325f4e80c82456044203726809a6ce34703c619dd”h2NhNh3(Œfeather-format >=0.4.0”Œh5py >=2.9.0”Œnumba >=0.44”Œpy7zr >=0.11.3”Œpython >=3.6”Œrequests >=2.22.0”Œscikit-learn >=0.21.2”Œtorchtuples >=0.2.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØx]fõ/hEMrÔhFˆubh)”}”(hŒglib2-devel-cos7-aarch64”h#Œ2.56.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ5glib2-devel-cos7-aarch64-2.56.1-ha826a6f_1103.tar.bz2”h+Œ d133ba889cbcbd4ca19f621c64dad666”h.Œchttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-aarch64-2.56.1-ha826a6f_1103.tar.bz2”h0Œ@8de31717b9c14471843c39b41750f8b86ed03ca1a07ce8fba5f54f2581ce5493”h2NhNh3Œ"glib2-cos7-aarch64 ==2.56.1 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ1ßÆ¨hEJ0" hFˆubh)”}”(hŒskorch”h#Œ0.9.0”h%Œpyh7b7c402_0”h'K hhh(h)hŒ!skorch-0.9.0-pyh7b7c402_0.tar.bz2”h+Œ aa6f278c126a9befe2965b250028cbcc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/skorch-0.9.0-pyh7b7c402_0.tar.bz2”h0Œ@b4de44958d1d2785e1c3449cd099ce0438598cfe55ba50e9b717949a9ff2e198”h2NhNh3(Œnumpy >=1.13.3”Œpython >=3.5”Œscikit-learn >=0.19.1”Œscipy >=1.1.0”Œtabulate >=0.7.7”Œtqdm >=4.14.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Ùa:ÙÛ#hEJ¦s hFˆubh)”}”(hŒr-optimsimplex”h#Œ1.0_8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-optimsimplex-1.0_8-r42hc72bb7e_1.tar.bz2”h+Œ bc41d2dd3195e28596643cd0d92acb8b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-optimsimplex-1.0_8-r42hc72bb7e_1.tar.bz2”h0Œ@2ed80ceff6ea9fd96411e6a06f49903e69a27ab6c294e3aa5c2291e82b1351a9”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-optimbase >=1.0_8”†”h9hºh@ŒCeCILL-2”hBŒOTHER”hDGAØÑ”‚Íp¤hEJ+» hFˆubh)”}”(hŒ
r-outliers”h#Œ0.15”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-outliers-0.15-r42hc72bb7e_1.tar.bz2”h+Œ 767f3de2c8d0c9c2c418f651645ee539”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-outliers-0.15-r42hc72bb7e_1.tar.bz2”h0Œ@49220c68e66869f04503295b29be525d5110eb5ced5caa47af1784c76bc7ef32”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ”€¡&éhEJÞ“ hFˆubh)”}”(hŒxcb-util-wm-cos7-x86_64”h#Œ0.4.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3xcb-util-wm-cos7-x86_64-0.4.1-h9d98e8f_1104.tar.bz2”h+Œ 2910ac5fde595a427c8743f0b02e9f46”h.Œahttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-cos7-x86_64-0.4.1-h9d98e8f_1104.tar.bz2”h0Œ@174a9ad0a415d797a4bd0bfa72190b97d79b6c84a753f9bd3e7301a9e8509048”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9ÓŸ?ÎÙhEMúohFˆubh)”}”(hŒr-cmdfun”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-cmdfun-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ f33ea4656972cdc85b52b638634a247b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-cmdfun-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@7f44ccf449c35fd3eddc304a2a67472ffc5fdef13785ceeaf88d0c0d66cc164e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œr-purrr”Œ	r-r.utils”Œr-rlang”Œ
r-testthat”Œ	r-usethis”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+™½OßhEJ›w hFˆubh)”}”(hŒr-opennlpdata”h#Œ1.5.3_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-opennlpdata-1.5.3_4-r41hc72bb7e_0.tar.bz2”h+Œ 4ea3bc493f5936fe323f4738606204e2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-opennlpdata-1.5.3_4-r41hc72bb7e_0.tar.bz2”h0Œ@89eab5f9f031ca1b1716d1608945a632d005957016ec845f8c0ff3949d080502”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rjava >=0.6_3”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*õ¡Ç|îhEJOtp hFˆubh)”}”(hŒr-ggalt”h#Œ0.4.0”h%Œr40ha770c72_2”h'Khhh(h)hŒ#r-ggalt-0.4.0-r40ha770c72_2.tar.bz2”h+Œ 461a0ff40a02da9a012a036bc0d4e215”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ggalt-0.4.0-r40ha770c72_2.tar.bz2”h0Œ@48cc0f7db049e31f2e135dfd8a5eb7bdf67b9cec6d769885810cf083271f2ad2”h2NhNh3(Œr-ash”Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-extrafont”Œr-ggplot2 >=2.2.1”Œr-gtable”Œr-kernsmooth”Œr-maps”Œr-mass”Œr-plotly >=3.4.1”Œr-proj4”Œr-rcolorbrewer”Œr-scales”Œr-tibble”t”h9hºh@ŒAGPL”hBŒAGPL”hDGAØ+À³Æ¨hEJÚG$ hFˆubh)”}”(hŒr-purrrogress”h#Œ0.1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ)r-purrrogress-0.1.1-r41hc72bb7e_2.tar.bz2”h+Œ 79ec2962e884cf98f8c595eee7de8e93”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-purrrogress-0.1.1-r41hc72bb7e_2.tar.bz2”h0Œ@3d1b43c3f9d4732ee1e2ad5aa01d05858353015bc1ce0e53633c6b25a7d07285”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-hms”Œ	r-pkgcond”Œr-purrr”Œr-r6”Œr-rlang”Œr-testextra”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ0;ê¬hEJ^= hFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGAØ+Œ
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h5df7e58_1”h'Khhh(h)hŒ*rb-little-plugger-1.1.4-h5df7e58_1.tar.bz2”h+Œ b9bd11b9cc1eb5503083d674ab8a5b0d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/rb-little-plugger-1.1.4-h5df7e58_1.tar.bz2”h0Œ@894de570b5457e44f6c79e91761dc86e1f98ad28e1753a22ca192e9020530c54”h2NhNh3Œruby >=2.6.6,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØfì„¬hEMiKhFˆubh)”}”(hŒ
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hbe843c9_0”h'K hhh(h)hŒ'rb-multi_json-1.15.0-hbe843c9_0.tar.bz2”h+Œ 330c31ad9e09bfee4745f497901838bb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/rb-multi_json-1.15.0-hbe843c9_0.tar.bz2”h0Œ@28ea1062e63b0a84f35463747abb3e35c8ab85b2e7d24776e62d0e0a45af7b60”h2NhNh3Œruby >=2.5.7,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ`¬Œä‹DhEMè¨hFˆubh)”}”(hŒlibxscrnsaver-cos7-ppc64le”h#Œ1.2.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libxscrnsaver-cos7-ppc64le-1.2.2-h9d98e8f_104.tar.bz2”h+Œ 5b6f797438991df821ac999e13f5463a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-ppc64le-1.2.2-h9d98e8f_104.tar.bz2”h0Œ@02525cbbeea2c9b130c362650e0fe764c000605732ad811a6966d659ff930479”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy	êMÓhEMœNhFˆubh)”}”(hŒr-teachingdemos”h#Œ2.12”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-teachingdemos-2.12-r41hc72bb7e_1.tar.bz2”h+Œ ee2b3f75e23ecad789610f5bed30464b”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-teachingdemos-2.12-r41hc72bb7e_1.tar.bz2”h0Œ@8bafb6f531baa00b8ceb22fc416205ba99fff6966c76d0bfec8e6c4f770638e7”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ*Þ5¡ËhEJÊ9 hFˆubh)”}”(hŒ	r-geometa”h#Œ0.7_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-geometa-0.7_1-r41hc72bb7e_0.tar.bz2”h+Œ cf3087c3a3df1939edc789837451a260”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-geometa-0.7_1-r41hc72bb7e_0.tar.bz2”h0Œ@3a12d3aeb9d979ee963cac0caa59656dc39a612c1080a7dfbcb60a8b88d9e349”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
r-jsonlite”Œ	r-keyring”Œr-r6”Œr-readr”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØØ3U²-hEJ(©  hFˆubh)”}”(hŒexpects”h#Œ0.9.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"expects-0.9.0-pyh9f0ad1d_0.tar.bz2”h+Œ c82034b55245e42ca8b80dc3a632bfd1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/expects-0.9.0-pyh9f0ad1d_0.tar.bz2”h0Œ@200790a8dc124d616f4e03897c464db9052745c94130a5b9c48d2775b35b8e1c”h2NhNh3Œpython”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ÕgÙ™šhEM¸<hFˆubh)”}”(hŒr-plogr”h#Œ0.2.0”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ&r-plogr-0.2.0-r41hc72bb7e_1004.tar.bz2”h+Œ 2142cbb7693ee306b900e3377d414abc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plogr-0.2.0-r41hc72bb7e_1004.tar.bz2”h0Œ@31f16d8209a32f92ee2037744f109a2cc3186589280c43b56c46bbfe7a2a4af4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ\øÀõÃhEM_RhFˆubh)”}”(hŒ	r-rmallow”h#Œ1.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ#r-rmallow-1.1-r35h6115d3f_0.tar.bz2”h+Œ 8c441c1251637677e34148b04c703e4d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rmallow-1.1-r35h6115d3f_0.tar.bz2”h0Œ@a414f132e97939160be6ed218117ef57976320b15255baf439e03433f515c5c8”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-combinat”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Cšþ5?hEJ†Ï hFˆubh)”}”(hŒr-funrar”h#Œ1.5.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-funrar-1.5.0-r41hc72bb7e_1.tar.bz2”h+Œ 005ba95067b4c86bea2a7a8a9b8e557a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-funrar-1.5.0-r41hc72bb7e_1.tar.bz2”h0Œ@ad671d9dfa58e43b977af7a9c12917e6df79dfe8ec9b3648d1d74ccd696b2b5b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒxoü‹DhEJ™	 hFˆubh)”}”(hŒr-survmetrics”h#Œ0.5.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-survmetrics-0.5.0-r40hc72bb7e_0.tar.bz2”h+Œ 9c7ecafd018449b78cd1b7673dee9417”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-survmetrics-0.5.0-r40hc72bb7e_0.tar.bz2”h0Œ@2127a5be3d489de6aff74943ef5456904c42658cccc0b08c41a944a68492496e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-mass”Œr-pec”Œr-randomforestsrc”Œ
r-survival”Œr-survminer”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÅ!†ÑûçhEJkØ hFˆubh)”}”(hŒr-rebus.base”h#Œ0.0_3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ+r-rebus.base-0.0_3-r36h6115d3f_1002.tar.bz2”h+Œ 0ed49ec77cf03c7471fc1ac2191487d3”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.base-0.0_3-r36h6115d3f_1002.tar.bz2”h0Œ@6eceb5fa79204f87b71805742f355fc490f80de072df2526a392185d5981c104”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒOther”hDGA×¬(ÿß;hEJk hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ,r-cellranger-1.1.0-r351h6115d3f_1001.tar.bz2”h+Œ 463e8403ca0df4f79e8064505195165e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r351h6115d3f_1001.tar.bz2”h0Œ@9a68bef924299f14248cb4402773251f3e92c7e8fc9d483dc194bc80a93b1864”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGAÖûü±jhEJ¤ hFˆubh)”}”(hŒlibice-devel-cos7-aarch64”h#Œ1.0.9”h%Œh9d98e8f_104”h'Khhhh(h)hŒ4libice-devel-cos7-aarch64-1.0.9-h9d98e8f_104.tar.bz2”h+Œ 745e0d3d0fa2cd3d8156c3ac0c73b8ad”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-aarch64-1.0.9-h9d98e8f_104.tar.bz2”h0Œ@4fe35590e7dc19e1a44bc0c7a19c13e0e42acf9c092b67a5a578fd0bb33db864”h2NhNh3Œ!libice-cos7-aarch64 ==1.0.9 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz´êMÓhEMZœhFˆubh)”}”(hŒr-boruta”h#Œ8.0.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-boruta-8.0.0-r42hc72bb7e_0.tar.bz2”h+Œ a86ca9809142b5d534d42e27c71f4204”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-boruta-8.0.0-r42hc72bb7e_0.tar.bz2”h0Œ@44cec2d55b83ffcc7d750d1a0ff75a2a8b6759b4d6763bbc5b50ae7919d85981”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ranger”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÛçè=p¤hEJá% hFˆubh)”}”(hŒdjangorestframework_simplejwt”h#Œ4.4.0”h%Œpy_0”h'K hhh(h)hŒ0djangorestframework_simplejwt-4.4.0-py_0.tar.bz2”h+Œ ca007374d9c6a457e858671b18c418b9”h.Œ^https://conda.anaconda.org/conda-forge/noarch/djangorestframework_simplejwt-4.4.0-py_0.tar.bz2”h0Œ@19d5a47739c504f77d448d5d753414ca39972607bf46a3a1cd730434eb2e6f01”h2NhNh3(Œdjango >=1.8”Œdjangorestframework”Œpyjwt”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGA×zû“jhEM®UhFˆubh)”}”(hŒr-ssanv”h#Œ1.1”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ$r-ssanv-1.1-r42hc72bb7e_1003.tar.bz2”h+Œ 0151ab531b128ab79fb4e0ac9dde8dde”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ssanv-1.1-r42hc72bb7e_1003.tar.bz2”h0Œ@8583d0c67db7bfd70364aec0a6e477b158b95c2bb4294c4e0a1049bdf77acf71”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑp;¶FhEJšG hFˆubh)”}”(hŒr-mosaicdata”h#Œ0.20.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-mosaicdata-0.20.3-r40hc72bb7e_0.tar.bz2”h+Œ ef3ab45f58ee1cac022e8b86136f89a8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mosaicdata-0.20.3-r40hc72bb7e_0.tar.bz2”h0Œ@3c5889ee1fb1dd53d0ed63e1a9c6049e014759c27c9df5999edb363a28ca517a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÄ8aŽVhEJñM hFˆubh)”}”(hŒr-autoplotly”h#Œ0.1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-autoplotly-0.1.4-r41hc72bb7e_1.tar.bz2”h+Œ 94f38c8de343076c311887963e5e0230”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-autoplotly-0.1.4-r41hc72bb7e_1.tar.bz2”h0Œ@1db0dc4b8375d9f80d9329de063a68a97f21832f6b8e9af357ee381e0298b1cc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggfortify”Œ	r-ggplot2”Œr-plotly”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØÒ©˜îvÉhEMÆšhFˆubh)”}”(hŒlibglvnd-cos7-aarch64”h#Œ1.0.1”h%Œha826a6f_103”h'Kghhh(h)hŒ0libglvnd-cos7-aarch64-1.0.1-ha826a6f_103.tar.bz2”h+Œ 6dc4797821a5c9e9cc5aa8432381d7fe”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libglvnd-cos7-aarch64-1.0.1-ha826a6f_103.tar.bz2”h0Œ@e9e250ac861be353f65a517b213e8233647cc4baea2582045da3836b7bc6f3cf”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/Ê=qhEJ°È hFˆubh)”}”(hŒr-linselect”h#Œ1.1.3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-linselect-1.1.3-r40h6115d3f_1.tar.bz2”h+Œ d9b439f1bb21af6be64a2d69100e158c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-linselect-1.1.3-r40h6115d3f_1.tar.bz2”h0Œ@3957770e17717ef4e46a68ced0cdf44d5797ec70435aec7584395c0e82dbef93”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-elasticnet”Œr-gtools”Œr-mass”Œ	r-mvtnorm”Œr-pls”Œr-randomforest”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬.Ðr°hEJ
5 hFˆubh)”}”(hŒlibxcursor-devel-cos7-ppc64le”h#Œ1.1.15”h%Œhdf0574f_1102”h'MNhhh(h)hŒ:libxcursor-devel-cos7-ppc64le-1.1.15-hdf0574f_1102.tar.bz2”h+Œ 3357fa831d1edcf972b6727d9e94cc2b”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos7-ppc64le-1.1.15-hdf0574f_1102.tar.bz2”h0Œ@69385e23aa526b1043a51923ab2962f0a26ce40d8c99139455283bb4706eae16”h2NhNh3Œ'libxcursor-cos7-ppc64le ==1.1.15 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ`Ù&éhEMå6hFˆubh)”}”(hŒr-sparsemvn”h#Œ0.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-sparsemvn-0.2.2-r41hc72bb7e_0.tar.bz2”h+Œ bd0ee16784ad679ee528b153b62f3273”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-sparsemvn-0.2.2-r41hc72bb7e_0.tar.bz2”h0Œ@0bcada13e7c8ecf735d338119e7704917e24249669dfc74258d4e4f29d4fbc87”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix >=1.2.12”†”h9hºh@ŒMPL (>= 2.0)”hBŒOTHER”hDGAØ]¼Ø	Û#hEJè“ hFˆubh)”}”(hŒr-factormerger”h#Œ0.4.0”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ*r-factormerger-0.4.0-r41hc72bb7e_3.tar.bz2”h+Œ 16227c1c1044c47d89538dd745348204”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-factormerger-0.4.0-r41hc72bb7e_3.tar.bz2”h0Œ@3ca9bf967d55d752a52dc211372280901efd8f2ae66c8b7b593643cd9a20f6b6”h2NhNh3(Œr-agricolae”Œr-base >=4.1,<4.2.0a0”Œr-colorramps”Œr-dplyr”Œ	r-forcats”Œr-formula.tools”Œ	r-ggplot2”Œr-ggpubr”Œr-knitr”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÓyS7LhEJâ$ hFˆubh)”}”(hŒr-iml”h#Œ0.11.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-iml-0.11.1-r41hc72bb7e_0.tar.bz2”h+Œ bc01bb4c1f86edfe78fc7b7dbcf78e3a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-iml-0.11.1-r41hc72bb7e_0.tar.bz2”h0Œ@981081ece815eee9cb63ae491d6acbee6a3fe6a8e01ab8d01e16ab67a6019ce2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-data.table”Œ	r-formula”Œr-future”Œr-future.apply”Œ	r-ggplot2”Œr-keras >=2.2.5.0”Œ	r-metrics”Œr-prediction”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÆÑ‡hEJFÂ hFˆubh)”}”(hŒr-chemometrics”h#Œ1.4.2”h%Œ	r351_1000”h'Mèhhh(h)hŒ&r-chemometrics-1.4.2-r351_1000.tar.bz2”h+Œ 18b2e02937dce504393405dc8e208dab”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-chemometrics-1.4.2-r351_1000.tar.bz2”h0Œ@58a799cfea50eab1f2c604a3ad5feebaf463427f73f53075ce13e038559b92a8”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-class”Œr-e1071”Œr-lars”Œr-mass”Œr-mclust”Œr-nnet”Œr-pcapp”Œr-pls”Œr-robustbase”Œr-rpart”Œr-som”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖþh€ï®hEJç0? hFˆubh)”}”(hŒr-mmod”h#Œ1.3.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-mmod-1.3.3-r42hc72bb7e_2.tar.bz2”h+Œ b96fa9876dac1bfcb45e70096192fb6a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mmod-1.3.3-r42hc72bb7e_2.tar.bz2”h0Œ@79e60ed3dd75de51b847c17400e61ff1f15ab87e7142eaf9a13ef26fbb01da12”h2NhNh3Œr-adegenet >=2.0”Œr-base >=4.2,<4.3.0a0”Œr-pegas”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ¢2×
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matplotlib”Œnumpy”Œpandas”Œpyqt”Œpython >=3.6”Œscipy”Œsip”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ|!qÛ#hEMÃ³hFˆubh)”}”(hŒpkbar”h#Œ0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpkbar-0.5-pyhd8ed1ab_0.tar.bz2”h+Œ ff9cee693d6b0f7e47282f5647e43a71”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pkbar-0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@f0af18866c6a78981ff3b603cea69e2b8c7bd6775c0b6362b01650a45add07f1”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@Œ
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r-devtools”Œr-dplyr”Œ	r-ggplot2”Œ
r-lazyeval”Œr-lubridate”Œ
r-magrittr”Œ	r-officer”Œr-purrr”Œr-readr”Œr-rvg”Œ	r-stringi”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ¹Rn˜hEJ hFˆubh)”}”(hŒr-clustermq”h#Œ0.8.9”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-clustermq-0.8.9-r35h6115d3f_0.tar.bz2”h+Œ e8dbd2e87fd4eacf9b4b1badd1ceb219”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-clustermq-0.8.9-r35h6115d3f_0.tar.bz2”h0Œ@e416b5628016987ad545d22c23dfeaa8745bf4a0a7c2bdc03b27d6e19c605892”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-narray”Œ
r-progress”Œr-purrr”Œr-r6”Œr-rzmq >=0.9.4”t”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGA×–µ„Û÷ÏhEJ° hFˆubh)”}”(hŒr-leiden”h#Œ0.4.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-leiden-0.4.3-r40hc72bb7e_0.tar.bz2”h+Œ 22030af7f6e94983d6b463f3f0c5c6fa”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-leiden-0.4.3-r40hc72bb7e_0.tar.bz2”h0Œ@0d1cab35080fdf0c4d7eed3d0f163094aedc3bb1a33865af6a6dbb815dc34a8e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-igraph”Œr-matrix”Œr-reticulate”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÇCµyXhEJíe/ hFˆubh)”}”(hŒr-foci”h#Œ0.1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-foci-0.1.3-r40hc72bb7e_0.tar.bz2”h+Œ 0ab7edbbf379e50dbab6e75bd159c8a4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-foci-0.1.3-r40hc72bb7e_0.tar.bz2”h0Œ@d8995dbb8dd58096419953aa68d93ddaa2a7ac3a01f85e0b1ab11d47704ec5e3”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œr-gmp”Œr-proxy”Œr-rann”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ§æÞ	XhEJ hFˆubh)”}”(hŒpython-fastjsonschema”h#Œ2.15.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1python-fastjsonschema-2.15.3-pyhd8ed1ab_0.tar.bz2”h+Œ fae309d1cc996da1f63de9d321e65e27”h.Œ_https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.15.3-pyhd8ed1ab_0.tar.bz2”h0Œ@f63f583a384576a7db573016cf726ba961c11700636206d1a09e8dff6120aca3”h2NhNh3Œpython >=3.3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØvÈ»hEJ±Ë hFˆubh)”}”(hŒcodar2netcdf”h#Œ1.0.0”h%Œpy_1”h'Khhh(h)hŒcodar2netcdf-1.0.0-py_1.tar.bz2”h+Œ a0ecc164e8d58e78a41ed5a23179c473”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/codar2netcdf-1.0.0-py_1.tar.bz2”h0Œ@d9441898ccd8e6c6285377e52cd4074f24ceec10600f9e7205ef7fe82b86e838”h2NhNh3(Œnetcdf4”Œpandas”Œpython”Œpython-dateutil”Œpytz”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÐ×H´záhEM’hFˆubh)”}”(hŒproof”h#Œ0.3.0”h%Œpy_1”h'Khhh(h)hŒproof-0.3.0-py_1.tar.bz2”h+Œ b3bded44e9d54cc71fe4768e9e1c79ff”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/proof-0.3.0-py_1.tar.bz2”h0Œ@395e85c10870387c51b7073cb17b967d8ff21ec1e08fc9074c457501c176b0f1”h2NhNh3Œpython”Œsix >=1.6.1”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÞåîŠ^5hEMôhFˆubh)”}”(hŒpy-openalpr”h#Œ1.1.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ&py-openalpr-1.1.0-pyhd3deb0d_0.tar.bz2”h+Œ 660b107e7b8cd20fda3251b18c926bf0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/py-openalpr-1.1.0-pyhd3deb0d_0.tar.bz2”h0Œ@40d939b13fbb0e882479a22614d03d95108227465db59c2c7b4c6922437e7e06”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGA×öWHr°hEMXhFˆubh)”}”(hŒr-udapi”h#Œ0.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-udapi-0.1.3-r42hc72bb7e_1.tar.bz2”h+Œ 8f7b6142055e9f6f3d513b94fe704c92”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-udapi-0.1.3-r42hc72bb7e_1.tar.bz2”h0Œ@4185b2dd35f53a74d3f8e8141854b182e3fb81c4fe74b9b1c4c38993a87f68dd”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-curl”Œr-httr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ?ÚSt¼hEMï\hFˆubh)”}”(hŒr-adgoftest”h#Œ0.3”h%Œr41ha770c72_1004”h'Mìhhh(h)hŒ(r-adgoftest-0.3-r41ha770c72_1004.tar.bz2”h+Œ b48c2b890d242361ae02fcc8b43cc8e7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-adgoftest-0.3-r41ha770c72_1004.tar.bz2”h0Œ@22d82322b2c021bb2b9d71a5778835cf787f400a5fcb53e422510ca7cdd7a5e4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØÑ
b×KÇhEM{hFˆubh)”}”(hŒ	r-metstat”h#Œ1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ#r-metstat-1.0-r42hc72bb7e_2.tar.bz2”h+Œ 283b4c4977504cfb7b43d0b38f7d64b3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-metstat-1.0-r42hc72bb7e_2.tar.bz2”h0Œ@6ddbb248a63ecde41eddb4ad7c578be43742bc19d9d61f43da7750c1944e953a”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-pls”t”h9hºh@ŒApache (== 2.0)”hBŒAPACHE”hDGAØÒR¾F5?hEJì; hFˆubh)”}”(hŒpython-markdown-math”h#Œ0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-python-markdown-math-0.8-pyhd8ed1ab_0.tar.bz2”h+Œ a813315c2d59d73550fc597336d51ffe”h.Œ[https://conda.anaconda.org/conda-forge/noarch/python-markdown-math-0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@76e928e3c83f21307431a7d80ae39c4602241ca29cfde867b5c7a5d05b0303bf”h2NhNh3Œmarkdown >=3.0”Œpython >=3.4”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ë-ÐÄœhEMP$hFˆubh)”}”(hŒ	r-rarpack”h#Œ0.11_0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ)r-rarpack-0.11_0-r41hc72bb7e_1003.tar.bz2”h+Œ bebf8c6333e5f7ffdc8eb20f4980e585”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rarpack-0.11_0-r41hc72bb7e_1003.tar.bz2”h0Œ@b3b04d761d14b835e71f26cca380903703ffc7aaeedf153faaa8bd7550a2345b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-rspectra”†”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ*çÏßÎÙhEMÛ‹hFˆubh)”}”(hŒr-mhadaptive”h#Œ1.1_8”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ+r-mhadaptive-1.1_8-r40hc72bb7e_1002.tar.bz2”h+Œ 8af5d50245241d999b1c29347c2fc59e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-mhadaptive-1.1_8-r40hc72bb7e_1002.tar.bz2”h0Œ@9b8230e657b8524f378eaf870a552c6e531e21bb8846a0b6b66e514035d3cef1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+ì;çmhEJl hFˆubh)”}”(hŒchemdataextractor”h#Œ1.3.0”h%Œpyh9f0ad1d_1”h'Khhh(h)hŒ,chemdataextractor-1.3.0-pyh9f0ad1d_1.tar.bz2”h+Œ 05c064ff9f6a42c5f84c2ab31ab959da”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/chemdataextractor-1.3.0-pyh9f0ad1d_1.tar.bz2”h0Œ@85935a424a59bf4011d8758129466fb8f459d9c639bdd337d618811f41dae37d”h2NhNh3(Œappdirs”Œbeautifulsoup4”Œclick”Œ	cssselect”Œdawg”Œlxml”Œnltk”Œpdfminer.six”Œpython”Œpython-crfsuite”Œpython-dateutil”Œpyyaml”Œrequests”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGA×½.Ò±G®hEJI hFˆubh)”}”(hŒfont-ttf-dejavu-sans-mono”h#Œ2.37”h%Œ
hab24e00_0”h'K hhh(h)hŒ1font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2”h+Œ 0c96522c6bdaed4b1566d11387caaf45”h.Œ_https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2”h0Œ@58d7f40d2940dd0a8aa28651239adbf5613254df0f75789919c4e6762054403b”h2NhNh3)h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×Y_Š”í‘hEJ: hFˆubh)”}”(hŒ+_current_repodata_hack_gcc_linux_aarch64_84”h#Œ0.0.1”h%j3G h'K hhh(h)hŒ;_current_repodata_hack_gcc_linux_aarch64_84-0.0.1-0.tar.bz2”h+Œ 37f4d678daab62eed5cecb188bef4f99”h.Œihttps://conda.anaconda.org/conda-forge/noarch/_current_repodata_hack_gcc_linux_aarch64_84-0.0.1-0.tar.bz2”h0Œ@2f635d68a29c0c0ff4f6f57f32265ae2acd5a62fc52188a8b4a3dbbf99e4a749”h2NhNh3Œgcc_linux-aarch64 8.4.*”…”h9hºh@ŒLicenseRef-OTHER”hDGA×Öö)Þ—hEMohFˆubh)”}”(hŒpyfunctional”h#Œ1.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pyfunctional-1.4.3-pyhd8ed1ab_0.tar.bz2”h+Œ e914558b13bc9eb4e6c10571b8a768ae”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pyfunctional-1.4.3-pyhd8ed1ab_0.tar.bz2”h0Œ@b909cd4e0134985bd4da1e1f9484d044128e8fa9f647455ad4c8b1b78d0f63d6”h2NhNh3Œdill >=0.2.5”Œpython >=3.6”Œtabulate <=1.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÖ;ëp¤hEM6°hFˆubh)”}”(hŒmesa-khr-devel-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7mesa-khr-devel-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h+Œ e2aeeef6c535b1f7b0a61ac7e0d2e04b”h.Œehttps://conda.anaconda.org/conda-forge/noarch/mesa-khr-devel-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@d88a9796a9478a83752a2256ff81b9ab8777f97faba3c3afc8865711408850a5”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ˆ§’MÓhEMóhFˆubh)”}”(hŒpython-logstash”h#Œ0.4.6”h%Œpy_0”h'K hhh(h)hŒ"python-logstash-0.4.6-py_0.tar.bz2”h+Œ fd901f7df031e881400705162b7449df”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/python-logstash-0.4.6-py_0.tar.bz2”h0Œ@dbd8ee485fc3356318d36eb69daefc8a3bb578c07da237e8320669dbcb08a50e”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×Lsøw¾whEM´&hFˆubh)”}”(hŒperl-regexp-common”h#Œ
2017060201”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ6perl-regexp-common-2017060201-pl5321hd8ed1ab_0.tar.bz2”h+Œ a5f770daa07a2075ac13e17e0bcb42e3”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/perl-regexp-common-2017060201-pl5321hd8ed1ab_0.tar.bz2”h0Œ@ca462d5d59cdc775773233d840a3033d8e1879e441e1f8f3b9fd42cea114a62f”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ8MIT OR BSD-3-Clause OR Artistic-1.0-Perl OR Artistic-2.0”hDGAØÑdeë÷ÏhEJñ† hFˆubh)”}”(hŒ
r-searcher”h#Œ0.0.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-searcher-0.0.6-r42hc72bb7e_1.tar.bz2”h+Œ 2f325d024ba6d2b25dec51336f7ac33a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-searcher-0.0.6-r42hc72bb7e_1.tar.bz2”h0Œ@e1d0fe1ee965c352e4ea762fddb68c774b6ab3a54aede3ed7373bc933a6ab7de”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑœr\hEJ³. hFˆubh)”}”(hŒ	r-metrics”h#Œ0.1.4”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ(r-metrics-0.1.4-r42hc72bb7e_1003.tar.bz2”h+Œ 5623f6fcd8f7d2396fb524e884228662”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-metrics-0.1.4-r42hc72bb7e_1003.tar.bz2”h0Œ@b50682d37559dbfe320d66cb624bfa31c6b558b6237525fed2cbe1a164e47f0b”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÑ&XE/hEJ"f hFˆubh)”}”(hŒr-optimalcutpoints”h#Œ1.1_5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ.r-optimalcutpoints-1.1_5-r42hc72bb7e_1.tar.bz2”h+Œ eb0feb2fc4d19e0754e7323439ab78ce”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-optimalcutpoints-1.1_5-r42hc72bb7e_1.tar.bz2”h0Œ@9e9049ad8b42537b4747977a01350c3ea4ecb93c916edd75f24d83ce53a50612”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØÒ>¿®—hEJ¥ hFˆubh)”}”(hŒsphinxdft-data”h#Œ0.0.1”h%j3G h'K hhh(h)hŒsphinxdft-data-0.0.1-0.tar.bz2”h+Œ 0a26f7c68d47bd5326b2d7ec4c2d1f00”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/sphinxdft-data-0.0.1-0.tar.bz2”h0Œ@f5d1514ea41713ba7a2e3b3009695c2b9153b2057bbdca29b33d9bd1e0e77a6f”h2NhNh3)h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×¸RÖéyhEJþ.×hFˆubh)”}”(hŒcertipy”h#Œ0.1.3”h%Œpy_0”h'K hhh(h)hŒcertipy-0.1.3-py_0.tar.bz2”h+Œ 23486713ef5712923e7c57cae609b22e”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/certipy-0.1.3-py_0.tar.bz2”h0Œ@f9ab82559881f22e9096562e33be6a9d1c0b705b039ee9e433b99ff96b069e36”h2NhNh3Œ	pyopenssl”Œpython >=3.3”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×4©x›çmhEMæChFˆubh)”}”(hŒlibxscrnsaver-cos7-ppc64le”h#Œ1.2.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libxscrnsaver-cos7-ppc64le-1.2.2-h9d98e8f_1104.tar.bz2”h+Œ 24b9341e6a872282ed16db6c60c8c5b6”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-ppc64le-1.2.2-h9d98e8f_1104.tar.bz2”h0Œ@f23efa51b17a3e5355f386dc6b695271ee9aec16c7547a93e115dd536837a178”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy…kt¼hEM¯NhFˆubh)”}”(hŒpyscenarios”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pyscenarios-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 155d3cbe7b1a6deb5c919c7095fcd429”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pyscenarios-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@41bed9922cdacccf8c2c7c57fec49e3c7236d19a3c3c469a8635686d352684d8”h2NhNh3(Œ
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jsonschema”Œ
mongoquery”Œmsgpack-numpy”Œmsgpack-python”Œnumpy”Œpandas”Œpims”Œpymongo”Œpython >=3.6”Œpytz”Œpyyaml”Œrequests”Œsix”Œsuitcase-mongo”Œsuitcase-msgpack”Œtifffile !=2019.7.26.2”Œtoolz”Œtzlocal”Œxarray”Œzarr”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ{Ú\hEJ»I hFˆubh)”}”(hŒ
r-cpgassoc”h#Œ2.60”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-cpgassoc-2.60-r41hc72bb7e_1.tar.bz2”h+Œ 0af11484be535d9649c56509d64a269c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cpgassoc-2.60-r41hc72bb7e_1.tar.bz2”h0Œ@16c724b4a2be3b02e2db056c4d2d9176cd311b82b0d134379b2fa8b1f2cc3c0e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-nlme”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ“*ÐQìhEJK- hFˆubh)”}”(hŒlibbonobo-devel-cos6-x86_64”h#Œ2.24.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ8libbonobo-devel-cos6-x86_64-2.24.2-h9d98e8f_1104.tar.bz2”h+Œ c7e050df7099199dd15e2798c3775991”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos6-x86_64-2.24.2-h9d98e8f_1104.tar.bz2”h0Œ@fc275ee16ddf3ba01ec46a6a461bd473cc1eb5b6b73872b3225843659781444e”h2NhNh3(Œ%libbonobo-cos6-x86_64 ==2.24.2 *_1104”Œ)libxml2-devel-cos6-x86_64 >=2.4.21 *_1104”Œ'orbit2-devel-cos6-x86_64 >=2.7.5 *_1104”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×É›ˆ ÅhEJYš hFˆubh)”}”(hŒr-hrbrthemes”h#Œ0.8.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ(r-hrbrthemes-0.8.0-r40h6115d3f_1.tar.bz2”h+Œ 8199d0e29cbe49ed2ee3e6866319e012”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hrbrthemes-0.8.0-r40h6115d3f_1.tar.bz2”h0Œ@0737a0324bf87fb3ec65d0ef5a59042fd85039ae68103c7713c6283e6c99ba9a”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-extrafont”Œ	r-gdtools”Œr-ggplot2 >=3.3.0”Œr-htmltools”Œr-knitr”Œ
r-magrittr”Œr-rmarkdown”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGA×­Fâ0õÃhEJú< hFˆubh)”}”(hŒurllib3”h#Œ1.26.8”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#urllib3-1.26.8-pyhd8ed1ab_1.tar.bz2”h+Œ 53f1387c68c21cecb386e2cde51b3f7c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.8-pyhd8ed1ab_1.tar.bz2”h0Œ@506fe851773a118b44e84ef97fab91dd5ef37fbb1922594dea830a8041e2d205”h2NhNh3(Œbrotlipy >=0.6.0”Œcertifi”Œcryptography >=1.3.4”Œidna >=2.0.0”Œpyopenssl >=0.14”Œpysocks >=1.5.6,<2.0,!=1.5.7”Œpython <4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØv&\ä1hEJ	‘ hFˆubh)”}”(hŒr-clustermq”h#Œ0.8.9”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-clustermq-0.8.9-r36h6115d3f_0.tar.bz2”h+Œ 49d51725f01d096be47493b638dd2be7”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-clustermq-0.8.9-r36h6115d3f_0.tar.bz2”h0Œ@4c245d0f82d17b66e50d37c904a03b05b183daae03ce3206efe9d0126dc41a0d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-narray”Œ
r-progress”Œr-purrr”Œr-r6”Œr-rzmq >=0.9.4”t”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGA×–µ…†VhEJAµ hFˆubh)”}”(hŒ incqueryserver-api-python-client”h#Œ0.24.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ<incqueryserver-api-python-client-0.24.0-pyhd8ed1ab_0.tar.bz2”h+Œ a2ad4228ea370e8aac21243570efc6b0”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/incqueryserver-api-python-client-0.24.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9309ab3be8513cfbc9cf579f5179d2ea136ad1fdb66150708d45f16e7ca16fb1”h2NhNh3(Œcertifi”Œpython ==2.7.*|>=3.4”Œpython-dateutil”Œ
six >=1.10”Œurllib3 >=1.15”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ°ª£²-hEJ¢Œ hFˆubh)”}”(hŒ	r-cowplot”h#Œ1.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-cowplot-1.1.1-r42hc72bb7e_1.tar.bz2”h+Œ aeff9827393b7225a5f688f489341840”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cowplot-1.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@008bd08abacbdb8058335255d79a34343166ddb72577c479334a8f9ece4c9587”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >2.2.1”Œr-gtable”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ{šJhEJüd hFˆubh)”}”(hŒ	eth-event”h#Œ1.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$eth-event-1.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ acafe704c26ee573a71b1160d67d61f3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/eth-event-1.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@27d9130ecc9c228a16e7529f406b927c32e41b9da6b17b98d23ada56cff18963”h2NhNh3(Œeth-abi >=2.0.0,<3.0.0”Œeth-hash >=0.2.0,<1.0.0”Œeth-utils >=1.2.0,<2.0.0”Œhexbytes >=0.2.0,<1.0.0”Œpython >=3.6,<4.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØwíÊÁhEM)hFˆubh)”}”(hŒmesa-libgl-devel-cos7-ppc64le”h#Œ18.3.4”h%Œha826a6f_103”h'Kghhh(h)hŒ9mesa-libgl-devel-cos7-ppc64le-18.3.4-ha826a6f_103.tar.bz2”h+Œ 407b69ab7e6e210f826d4757fa8078f2”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-ppc64le-18.3.4-ha826a6f_103.tar.bz2”h0Œ@e2d6d4b37869a440d355eb7d5ee5a622b0a0be5e188c2ad2a8cb28a4ddf9540f”h2NhNh3Œ*mesa-khr-devel-cos7-ppc64le ==18.3.4 *_103”Œ&mesa-libgl-cos7-ppc64le ==18.3.4 *_103”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1Ç»ohEJä… hFˆubh)”}”(hŒr-gclus”h#Œ1.3.2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ$r-gclus-1.3.2-r351h6115d3f_0.tar.bz2”h+Œ eb9abfa3b65d2847c2f8cf65abeb2186”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gclus-1.3.2-r351h6115d3f_0.tar.bz2”h0Œ@0e87f97ffba724e74c3521eb1def9dd9df41ef216af12c6dd4e903264fc735b9”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-cluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×9p´9hEJEÃ hFˆubh)”}”(hŒr-s4vd”h#Œ1.1_1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ%r-s4vd-1.1_1-r41hc72bb7e_1003.tar.bz2”h+Œ cb0dd4886528ff8e9c9720b63d85b468”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-s4vd-1.1_1-r41hc72bb7e_1003.tar.bz2”h0Œ@d9b1a1a9227eb155ac84c8e2fbcf1abca193c921a4a5d76cc087a2fa9e7a639e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-biclust”Œ	r-foreach”Œr-irlba”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒò¨ŸPhEJjç hFˆubh)”}”(hŒpackageurl-python”h#Œ0.9.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,packageurl-python-0.9.9-pyhd8ed1ab_0.tar.bz2”h+Œ a02266c231e5c7b36fbe769dcee61d69”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/packageurl-python-0.9.9-pyhd8ed1ab_0.tar.bz2”h0Œ@db45ae620e4e3f8e0d5d33012ce289b9b5d2e69522e7c384973c26957d4a7356”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØƒ$+™©ühEMÙPhFˆubh)”}”(hŒr-r2jags”h#Œ0.7_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-r2jags-0.7_1-r41hc72bb7e_0.tar.bz2”h+Œ 1243c7cc69df77f8584127c81012d429”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-r2jags-0.7_1-r41hc72bb7e_0.tar.bz2”h0Œ@19dd43a5d743e370ae587ce5db4069c7a69b2a571f5b00d35613d984dec846e0”h2NhNh3(Œjags”Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-coda >=0.13”Œr-r2winbugs”Œr-rjags >=3_3”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØBã½lzáhEJmÃ hFˆubh)”}”(hŒr-rsolnp”h#Œ1.16”h%Œr40_1003”h'Mëhhh(h)hŒr-rsolnp-1.16-r40_1003.tar.bz2”h+Œ f92d54c520ec7c5e0d59295e13fbede6”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-rsolnp-1.16-r40_1003.tar.bz2”h0Œ@88abd1ad6c854e02ca49de56b5c15a0f85d6389be9eff34bb44e57cf782af3f2”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-truncnorm”†”h9hºh@ŒGPL”hBŒGPL”hDGA×¬—q‡hEJô hFˆubh)”}”(hŒ	twitchapi”h#Œ2.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$twitchapi-2.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ ba4784859afcc4e18926e1c9572a56b1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/twitchapi-2.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@548aae2604c4c3e0b1130165388aad3640a245cecb9530ce2cf9d2de19dadecd”h2NhNh3(Œaiohttp”Œpython >=3.6”Œpython-dateutil”Œrequests”Œtyping_extensions”Œ
websockets”t”h9h?h@ŒMIT”hBŒMIT”hDGAØiŠ?îùÛhEMgªhFˆubh)”}”(hŒr-yarrr”h#Œ0.1.5”h%Œr351h6115d3f_0”h'K hhh(h)hŒ$r-yarrr-0.1.5-r351h6115d3f_0.tar.bz2”h+Œ 554bf21c837d81450ff162d76a913baa”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-yarrr-0.1.5-r351h6115d3f_0.tar.bz2”h0Œ@da7de79c2835f3eb55d40911481cbcdb483f80d112fccb6c0c278d8a225f4250”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-bayesfactor”Œ
r-circlize”Œr-jpeg”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×ì¾õÃhEJÓ„< hFˆubh)”}”(hŒjupyter-lsp-python-lsp-server”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8jupyter-lsp-python-lsp-server-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9557308ffa5cc43d0c105700730ccac6”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-python-lsp-server-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@39a6d303d68bffe018d693daeaeaafab33b10f4f869f6bce6e8980140389e26b”h2NhNh3Œjupyter-lsp 1.2.0 pyhd8ed1ab_0”Œpython”Œpython-lsp-server >=1”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ!¼•›ohEMqhFˆubh)”}”(hŒr-dtt”h#Œ0.1_2”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ$r-dtt-0.1_2-r36h6115d3f_1002.tar.bz2”h+Œ 6e92465da63a6a1cdefb16d1f8e3a8ee”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dtt-0.1_2-r36h6115d3f_1002.tar.bz2”h0Œ@a1d3ddc47e1791660787f220493be74ee550e0ecdb95452af4f755ffd46d4b1d”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L	-ò°!hEM-hFˆubh)”}”(hŒr-nanostringr”h#Œ0.4.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-nanostringr-0.4.0-r41hc72bb7e_1.tar.bz2”h+Œ d847861ff450778b7f14c42faf99606c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-nanostringr-0.4.0-r41hc72bb7e_1.tar.bz2”h0Œ@bfee84824d1957409ca8e55e101e3520a8298d95570df9a06dab528204e6eb15”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-ccapp”Œr-dplyr”Œr-epir”Œ	r-forcats”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒFÉ–ffhEJw	 hFˆubh)”}”(hŒupdate_checker”h#Œ0.18.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ*update_checker-0.18.0-pyh9f0ad1d_0.tar.bz2”h+Œ a8dff3f315bd2ffe9f5ac2ff0501b2ac”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/update_checker-0.18.0-pyh9f0ad1d_0.tar.bz2”h0Œ@cf59091f03bfdd7b8c78d42df29c4e9b41b62151c14215ee11bc6f9fb45f6ddc”h2NhNh3Œpython”Œrequests >=2.3.0”†”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×ÊFýY%hEM(hFˆubh)”}”(hŒefficientnet-pytorch”h#Œ0.7.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ/efficientnet-pytorch-0.7.1-pyhd8ed1ab_1.tar.bz2”h+Œ f524017d5efffe1ff55a1af92ac98e2f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/efficientnet-pytorch-0.7.1-pyhd8ed1ab_1.tar.bz2”h0Œ@683e129c152ffa0173f9bccce215f9c792c30a6d69746650e86048f18597d0db”h2NhNh3Œpython >=3.6”Œpytorch”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØmÓíˆQìhEMšZhFˆubh)”}”(hŒorbit2-devel-cos7-aarch64”h#Œ2.14.19”h%Œha826a6f_103”h'Kghhh(h)hŒ6orbit2-devel-cos7-aarch64-2.14.19-ha826a6f_103.tar.bz2”h+Œ 7bf15bb599f2e3f64d802836343535c0”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos7-aarch64-2.14.19-ha826a6f_103.tar.bz2”h0Œ@4634ebacb731b682d1f36c03c1706b8de73f2340548cd96dea313b506f769ed6”h2NhNh3Œ&glib2-devel-cos7-aarch64 >=2.2.0 *_103”Œ'libidl-devel-cos7-aarch64 >=0.8.2 *_103”Œ#orbit2-cos7-aarch64 ==2.14.19 *_103”‡”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Æ2 ÅhEJ¼« hFˆubh)”}”(hŒrb-latex-decode”h#Œ0.3.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ(rb-latex-decode-0.3.1-hc42de5b_0.tar.bz2”h+Œ e5330fccd2c1bd5a8dec8afb5e037757”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/rb-latex-decode-0.3.1-hc42de5b_0.tar.bz2”h0Œ@03816612f3db75a7760a69d7731a57e1808e72ea6b345bba7f82b001e2b16014”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒGPL-3.0”hBŒGPL”hDGA×Z‰‰µ¸hEMÿÇhFˆubh)”}”(hŒtinycss2”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#tinycss2-1.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5d280406501e79dc7aa9c9ac31d25a80”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tinycss2-1.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4da72a45b8330eb754dcdc53ecffe4e6a6d348211d979cbc15121e0d94af5f6c”h2NhNh3Œpython >=3.5”Œwebencodings >=0.4”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØfÿ4c¥ãhEMZhFˆubh)”}”(hŒopensm-libs-cos7-ppc64le”h#Œ3.3.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4opensm-libs-cos7-ppc64le-3.3.21-h9b0a68f_105.tar.bz2”h+Œ a09df2b66c046ccfd09e094f6f9a766e”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/opensm-libs-cos7-ppc64le-3.3.21-h9b0a68f_105.tar.bz2”h0Œ@c1d7db5fbb734d36ddde5e48511785f7a815c275bb86e502c3ba525e9c93d3b3”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJ·KÇhEJ}+ hFˆubh)”}”(hŒ
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compaction”Œlandlab >=2”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpython >=3.8”Œpyyaml”Œ
rich-click”Œscipy”Œtomlkit”Œtqdm”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¯Q-ÇKÇhEMqhFˆubh)”}”(hŒpython-configuration”h#Œ0.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/python-configuration-0.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6bbdfcf88f1c9225bca20b2542602be3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/python-configuration-0.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@440365bfc9153298b3829ab9cf3349feac517572095463bdb0f08b7c7791ee23”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØHóhEMïQhFˆubh)”}”(hŒ
r-uniprotr”h#Œ2.2.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-uniprotr-2.2.2-r41hc72bb7e_0.tar.bz2”h+Œ 3d1af8ec755c5284968fcc8b0048f9cc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-uniprotr-2.2.2-r41hc72bb7e_0.tar.bz2”h0Œ@361302115842147dc1bbee36f8bbbcb1321db0fb58bac067768aa65968178dc2”h2NhNh3(Œr-alakazam >=1.0.0”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-data.tree”Œr-dplyr”Œ	r-ggplot2”Œr-ggpubr”Œr-ggsci”Œr-gprofiler2”Œr-gridextra”Œr-htmlwidgets”Œr-httr”Œr-magick”Œ
r-magrittr”Œr-networkd3”Œr-plyr”Œ
r-progress”Œr-qdapregex”Œr-scales”Œ	r-stringr”Œr-tidyverse”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ€“µ‘hhEJÚù hFˆubh)”}”(hŒpy-tes”h#Œ0.4.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ!py-tes-0.4.1-pyhd3deb0d_0.tar.bz2”h+Œ 9ab762214b94564dcab33468c354a207”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/py-tes-0.4.1-pyhd3deb0d_0.tar.bz2”h0Œ@ff4550cc3c9a6d80d2b3173b075938346668190f136654227d37721496371dbb”h2NhNh3(Œattrs >=17.4.0”Œfuture >=0.16.0”Œpython”Œpython-dateutil 2.6.1”Œrequests >=2.18.1”t”h9h?h@ŒMIT”hBŒMIT”hDGA×èÀº~úhEM3*hFˆubh)”}”(hŒmesa-libglapi-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_101”h'Kehhh(h)hŒ6mesa-libglapi-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h+Œ 09f20fdfb4fb7bcdee55b95ee39ede95”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h0Œ@ed1774f220341966a79495e0b1298a46a5847d56ee47eb9742387683234d8dba”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å/p“uhEJ« hFˆubh)”}”(hŒpango-cos7-ppc64le”h#Œ1.42.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/pango-cos7-ppc64le-1.42.4-h9d98e8f_1104.tar.bz2”h+Œ 79264626df81f3d4d53bed5c1de7b0f7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pango-cos7-ppc64le-1.42.4-h9d98e8f_1104.tar.bz2”h0Œ@c833fafe9b5b61b0e4f4bb06fd62c6b308cc94dfd04985da741bce216fbc1c7e”h2NhNh3(Œ#cairo-cos7-ppc64le >=1.12.10 *_1104”Œ(fontconfig-cos7-ppc64le >=2.11.91 *_1104”Œ$freetype-cos7-ppc64le >=2.1.5 *_1104”Œ!fribidi-cos7-ppc64le >=1.0 *_1104”Œ"glib2-cos7-ppc64le >=2.56.1 *_1104”Œ$harfbuzz-cos7-ppc64le >=1.4.2 *_1104”Œ#libthai-cos7-ppc64le >=0.1.9 *_1104”Œ"libxft-cos7-ppc64le >=2.0.0 *_1104”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É€6ö‡+hEJQ| hFˆubh)”}”(hŒ	lbinstall”h#Œ2.0.15”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%lbinstall-2.0.15-pyhd8ed1ab_0.tar.bz2”•      h+Œ 3ac801a98c6dbeb8317860d3f4a6fc23”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/lbinstall-2.0.15-pyhd8ed1ab_0.tar.bz2”h0Œ@52eb55daf3d4dc31c56c6562ff9a424923df9fdda334873890a5b24ebaf123ad”h2NhNh3Œpython >=3.5”Œsix”Œ
sqlalchemy”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ$]Ï¾whEJôO hFˆubh)”}”(hŒlibxt-cos7-ppc64le”h#Œ1.1.5”h%Œ
h1341992_0”h'K hhh(h)hŒ+libxt-cos7-ppc64le-1.1.5-h1341992_0.tar.bz2”h+Œ cea8c2b81c1ce9256dbe7ef62b88f18a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/libxt-cos7-ppc64le-1.1.5-h1341992_0.tar.bz2”h0Œ@f4a2a67b3d7083d26bf64a905d4c65d1a81e46851a1bf16a1cfbb8bbd556059b”h2NhNh3Œlibx11-cos7-ppc64le >=1.6.5”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×]sÄ}p¤hEJjÕ hFˆubh)”}”(hŒdynamicisttoolkit”h#Œ0.5.3”h%Œpyhd8ed1ab_4”h'Khhh(h)hŒ,dynamicisttoolkit-0.5.3-pyhd8ed1ab_4.tar.bz2”h+Œ da683ae1d231e4e1f18e967e98b5d80c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/dynamicisttoolkit-0.5.3-pyhd8ed1ab_4.tar.bz2”h0Œ@ab69a6e8165a4fa509b45691517a7753f8d3549acc74595e2936a095d1d6675b”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@Œ	Unlicense”hDGAØŽæ¦E¢hEMhFˆubh)”}”(hŒr-choroplethr”h#Œ3.7.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-choroplethr-3.7.1-r41hc72bb7e_1.tar.bz2”h+Œ a4b82b4ed7937cdd7afe7acec9b3c783”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-choroplethr-3.7.1-r41hc72bb7e_1.tar.bz2”h0Œ@e5da58a9906ca1e6e4dcfb347809eba7cfbccb022c9b942ad6c3b0742c62cd7a”h2NhNh3(Œr-acs”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-ggmap”Œr-ggplot2 >=2.0.0”Œr-gridextra”Œr-hmisc”Œr-r6”Œr-rgooglemaps”Œr-rvest”Œ	r-stringr”Œr-tidycensus”Œr-tidyr”Œr-tigris >=1.0”Œr-wdi”Œr-xml2”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÒÚÅÒòhEJr 
 hFˆubh)”}”(hŒics”h#Œ0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒics-0.7-pyhd8ed1ab_0.tar.bz2”h+Œ 888971a0e72bec4457500b659ebc294d”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/ics-0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@7939d3339d88d8f38ce907f5d545a87b109a6de15515487be5e89ee037e27ab9”h2NhNh3(Œarrow <0.15,>=0.11”Œattrs >=19.2”Œimportlib_resources >=1.4,<2”Œpython >=3.6”Œpython-dateutil >=2.8,<3”Œsix >1.5”Œ
tatsu >4.2”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ö‡¤/PhEMÌ{hFˆubh)”}”(hŒr-bedr”h#Œ1.0.7”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-bedr-1.0.7-r41hc72bb7e_2.tar.bz2”h+Œ 37986659edafed9e00635facb9ff049d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bedr-1.0.7-r41hc72bb7e_2.tar.bz2”h0Œ@1d4d3aab5b4484225c8b34ce5f6c7a94da1ea066ea3e729966eb26646ce00c13”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.8.11”Œr-r.utils >=2.0.2”Œr-testthat >=0.7.1”Œr-venndiagram >=1.6.4”Œr-yaml >=2.1.10”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ£32ÀƒhEJ*i hFˆubh)”}”(hŒr-framecleaner”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-framecleaner-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ 9c500780619921cefd6a4a41ba660389”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-framecleaner-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@ce44c31b29803f40043af8ba07f809dbdb7c8ddac2a233c857dfede23405b9b0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bit64”Œr-dplyr”Œr-fastdummies”Œ	r-forcats”Œr-fs”Œ	r-janitor”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-rio”Œr-rlang”Œr-rlist”Œr-rstudioapi”Œ	r-stringr”Œr-tibble”Œr-tidyselect”Œr-vroom”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÎ}` ÅhEJ©Ì hFˆubh)”}”(hŒr-xml2r”h#Œ0.0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-xml2r-0.0.6-r41hc72bb7e_1.tar.bz2”h+Œ 990e8dfd13d507e4897a950943a30882”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-xml2r-0.0.6-r41hc72bb7e_1.tar.bz2”h0Œ@483f807729a45e886a9fe846b713cf84ccdbdaf5746f45e60719929ca66a5bf0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ?‚Ÿ¾hEMÇÔhFˆubh)”}”(hŒr-rapportools”h#Œ1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-rapportools-1.1-r42hc72bb7e_1.tar.bz2”h+Œ 53ed57d064ce64161f39bfa3e53a0943”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rapportools-1.1-r42hc72bb7e_1.tar.bz2”h0Œ@98a39dca15148d01e86b1f0d535988923a6714ad4cb065aad9cf03abf3251561”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-pander”Œr-plyr”Œ
r-reshape2”t”h9hºh@ŒAGPL-3.0-only”hBŒAGPL”hDGAØÑ_×KÇhEJjS hFˆubh)”}”(hŒjpackage-utils-cos6-x86_64”h#Œ1.7.5”h%Œha826a6f_103”h'Kghhh(h)hŒ5jpackage-utils-cos6-x86_64-1.7.5-ha826a6f_103.tar.bz2”h+Œ 8fb3cab3c1429f8a98ad196e04e8f4ce”h.Œchttps://conda.anaconda.org/conda-forge/noarch/jpackage-utils-cos6-x86_64-1.7.5-ha826a6f_103.tar.bz2”h0Œ@2d1b46db49f6ffcea0f0c526068475a334e20da3fbe69ce7dbc4e30ae5ec96df”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/O   hEM“›hFˆubh)”}”(hŒr-wesanderson”h#Œ0.3.6”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ-r-wesanderson-0.3.6-r351h6115d3f_1001.tar.bz2”h+Œ 6515da935dd64ce399c34e53cad0cb18”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-wesanderson-0.3.6-r351h6115d3f_1001.tar.bz2”h0Œ@fb5bd3ee0df151b7f10edca61add946df98b41b6ed102dbe5ef4dedbd3b304a3”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÖý0Â±™šhEM[hFˆubh)”}”(hŒpanoptes-aggregation-with-gui”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8panoptes-aggregation-with-gui-4.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7bd0038d96e39a07f57615fd521a4a3d”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/panoptes-aggregation-with-gui-4.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@51bf79eda51ee217109fcb10000574b0123fbb1211282c9d04ff7cdd6425a790”h2NhNh3Œgooey >=1.0.3,<1.1”Œ'panoptes-aggregation >=4.0.0,<4.0.1.0a0”Œpython”‡”h9h?hDGAØÍm;_ÎÙhEMùhFˆubh)”}”(hŒdeprecat”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#deprecat-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4379c3181f87829ed26a50c0e8c21e27”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/deprecat-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a1b1d6977dbb5d17cd52d2f5387879aaae25b8e729a339245c5692dce02b19ca”h2NhNh3Œpython >=3.6”Œwrapt >=1.10,<2”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ¡ÝZzn˜hEM@1hFˆubh)”}”(hŒlibnl-cos7-ppc64le”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ-libnl-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h+Œ 765d5b3dbd7c62ef55012d96699e785f”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-ppc64le-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@08b74d697f7b31c1d3e695ab6dec7255b4d7645be5cf350741ecf3f481a6d61c”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Éy7$jhEJË_ hFˆubh)”}”(hŒr-r.devices”h#Œ2.17.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-r.devices-2.17.1-r41hc72bb7e_1.tar.bz2”h+Œ 7a7cc50a22d3202b50bc40d7db718349”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-r.devices-2.17.1-r41hc72bb7e_1.tar.bz2”h0Œ@14a3ac8ab0326c39965cf052dc4fa5d02ce3673bbe359922b262e7f96098846e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc >=0.1_2”Œr-r.methodss3 >=1.8.1”Œr-r.oo >=1.24.0”Œr-r.utils >=2.10.1”t”h9hºh@ŒLGPL-2.1-or-later”hBŒLGPL”hDGAØÒ/Â®éyhEJw hFˆubh)”}”(hŒxcb-util-wm-cos7-ppc64le”h#Œ0.4.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3xcb-util-wm-cos7-ppc64le-0.4.1-h9d98e8f_104.tar.bz2”h+Œ 57ce68e0c2fc1b09bb5049086f54d8ae”h.Œahttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-cos7-ppc64le-0.4.1-h9d98e8f_104.tar.bz2”h0Œ@b8595e6ee065840ca361fefa7aa77721083637e336993fa5fae2a2e6224d5359”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ó–D9XhEMXuhFˆubh)”}”(hŒr-simfit”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-simfit-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 5ffd7fd5c5b899382fe82ec9d72bc80a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-simfit-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@736ca57b199d66de6808081b72f8c0dafa8ddbece9aac938ed42f3d4be03ad4b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-magrittr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ#^‡+hEM4¾hFˆubh)”}”(hŒ
r-cpgassoc”h#Œ2.60”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-cpgassoc-2.60-r41hc72bb7e_0.tar.bz2”h+Œ 3c9ad36e2bfb4d10677ad519c89155f5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cpgassoc-2.60-r41hc72bb7e_0.tar.bz2”h0Œ@804998f6c271070cf5a0477df7b1714eb06cec2f5b7343a26a1c8842fe111b74”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-nlme”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+,6;dhEJŽ1 hFˆubh)”}”(hŒ	r-survxai”h#Œ0.2.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-survxai-0.2.2-r41hc72bb7e_1.tar.bz2”h+Œ c949c361a8e55f092d3d858d484560ca”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-survxai-0.2.2-r41hc72bb7e_1.tar.bz2”h0Œ@8bcf33e610b15a4142a5b75be029c9d3e12295300ed28ba1f569662f18945518”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-breakdown”Œ	r-ggplot2”Œr-pec”Œ	r-prodlim”Œr-scales”Œ
r-survival”Œr-survminer”t”h9hºh@ŒGPL”hBŒGPL”hDGAØÓ‰#û¥ãhEJ$ hFˆubh)”}”(hŒserde”h#Œ0.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ serde-0.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ db8c7b7a4ee3d2c3c809a96061e069af”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/serde-0.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@987beaaec0961dea9c3559bf3fcc57c3fbb8ba87b300687818a0d24688a58758”h2NhNh3Œisodate >=0.6”Œpython >=3.6”Œsix >=1.13.0”‡”h9h?h@ŒMIT OR Apache2.0”hDGAØU|n×ß;hEM¥ghFˆubh)”}”(hŒmarkov_draftjs”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒ!markov_draftjs-0.1.1-py_0.tar.bz2”h+Œ 6fd1f3e146601f0ee009f1186fee68c9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/markov_draftjs-0.1.1-py_0.tar.bz2”h0Œ@46ac676d5df40a33f26b7adb9d184ed9386e8f9da08464f18d8a73fac27e9b3e”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hEJ?ð hFˆubh)”}”(hŒ
provenance”h#Œ0.14.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&provenance-0.14.1-pyhd8ed1ab_0.tar.bz2”h+Œ fc04a211ccb35669dedd365ec5769697”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/provenance-0.14.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6d1cbf67737807f57ac3a7c6905d0f572ba31b980489a4958ffeb3cd089d168e”h2NhNh3(Œalembic >=0.9.1”Œboltons >=16.5.1”Œcloudpickle >=0.2.1”Œ
frozendict”Œjoblib >=0.15.0”Œmemoized-property >=1.0.2”Œnumpy”Œordered-set”Œpandas”Œparamiko”Œpsutil >=5.0.0”Œpsycopg2”Œpyarrow”Œpython >=3.6”Œpython-graphviz”Œs3fs <=0.5.1”Œsqlalchemy >=1.1.3”Œsqlalchemy-utils >=0.32.12”Œtoolz >=0.8.2”Œwrapt >=1.10.8”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ú‚réyhEMA™hFˆubh)”}”(hŒ	r-cnogpro”h#Œ1.1”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ&r-cnogpro-1.1-r41ha770c72_1003.tar.bz2”h+Œ 363c9d6c38b0ac311cd98213fba3f083”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cnogpro-1.1-r41ha770c72_1003.tar.bz2”h0Œ@33952a339f99d541b5f3af77b0cc080687ef1ecb096e8f6f4ca3d7bd0c91f06c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-seqinr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ”žvÉhEJüÄ hFˆubh)”}”(hŒr-diffusionmap”h#Œ1.2.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ*r-diffusionmap-1.2.0-r40hc72bb7e_1.tar.bz2”h+Œ 2b17045b604ba2fad40a6e5103840f28”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-diffusionmap-1.2.0-r40hc72bb7e_1.tar.bz2”h0Œ@420f6047c0ba9c9abca595b4af262e808b25ba15ba0203ddd1e46ac46974be10”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-igraph”Œr-matrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+GÔe¸hEJ:€ hFˆubh)”}”(hŒrdma-core-devel-cos7-x86_64”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ6rdma-core-devel-cos7-x86_64-22.4-ha826a6f_1103.tar.bz2”h+Œ 41bad40b5963333ac01fceed419488b8”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/rdma-core-devel-cos7-x86_64-22.4-ha826a6f_1103.tar.bz2”h0Œ@3f0a2c14766d9d2ed09e8232fa7335b443080ed69667cc5f3919ae1ffc87baf0”h2NhNh3(Œibacm-cos7-x86_64 ==22.4 *_1103”Œ#libibumad-cos7-x86_64 ==22.4 *_1103”Œ$libibverbs-cos7-x86_64 ==22.4 *_1103”Œ#librdmacm-cos7-x86_64 ==22.4 *_1103”Œ#rdma-core-cos7-x86_64 ==22.4 *_1103”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,òšn˜hEJš³ hFˆubh)”}”(hŒlibibverbs-cos6-x86_64”h#Œ1.1.8”h%Œh2da7399_100”h'Kdhhh(h)hŒ1libibverbs-cos6-x86_64-1.1.8-h2da7399_100.tar.bz2”h+Œ 390ffc058cbc373718a6ada23b309dc6”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos6-x86_64-1.1.8-h2da7399_100.tar.bz2”h0Œ@7817db355cdf098c1fb85c8e399f022e91720ab55f86039c13a043b89ed60ddf”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Ä™ÙdZhEMÒÏhFˆubh)”}”(hŒakernel”h#Œ0.0.22”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#akernel-0.0.22-pyhd8ed1ab_0.tar.bz2”h+Œ c14d45feed41d119996366ee3786d4e5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/akernel-0.0.22-pyhd8ed1ab_0.tar.bz2”h0Œ@803cf618a17883e5e5851207204034344148d998651a0257a9682b5d3ed788cc”h2NhNh3(Œcolorama”Œgast >=0.5.3”Œipyx >=0.1.7”Œpython >=3.7”Œpython-dateutil”Œpyzmq”Œtyper >=0.4.0”Œzict”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ„8hEMËNhFˆubh)”}”(hŒr-complexupset”h#Œ1.3.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-complexupset-1.3.3-r40hc72bb7e_0.tar.bz2”h+Œ 15e42791804d2fe340fd803317d7199a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-complexupset-1.3.3-r40hc72bb7e_0.tar.bz2”h0Œ@1a12a9d7ab4538c24b21959d5ba8abcaa331eba80a63d2f020981b8d906fe967”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-colorspace”Œ	r-ggplot2”Œr-patchwork”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØm7î¥¡ËhEJð) hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ&r-abind-1.4_5-r40h6115d3f_1003.tar.bz2”h+Œ 5f22925db318bc789783d1ae3976336f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r40h6115d3f_1003.tar.bz2”h0Œ@a9ed0ca72876b7bdad16ff1011592ec171e2548e14974cef66ca35d3fc722ce9”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGA×«Æ‚í²-hEJR0 hFˆubh)”}”(hŒwicken”h#Œ0.2.0”h%Œpy_1”h'Khhh(h)hŒwicken-0.2.0-py_1.tar.bz2”h+Œ c6211ca04b3a772ec879c790d479aedd”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/wicken-0.2.0-py_1.tar.bz2”h0Œ@49342acf9008f8c9e5307e79be38bc6cdad1ed6b08adcd96ecbe4ea774df6245”h2NhNh3Œlxml”Œpetulant-bear”Œpython”‡”h9h?h@Œ
Apache 2.0”hEMž8hFˆubh)”}”(hŒ
r-tidybins”h#Œ0.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-tidybins-0.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 66ebe1971f458816476fef4c7e603d00”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tidybins-0.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@a25bcb665174d12abd56f9355bfd0474851e1739c24d6a5701f14e449fa4525c”h2NhNh3(Œr-badger”Œr-base >=4.1,<4.2.0a0”Œ
r-clusterr”Œr-dplyr”Œr-framecleaner”Œ	r-ggplot2”Œ	r-janitor”Œr-lubridate”Œ
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GPL (>= 3)”hBŒGPL3”hDGA×«ýÿÑûçhEM2ÔhFˆubh)”}”(hŒr-exact”h#Œ3.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-exact-3.2-r42hc72bb7e_1.tar.bz2”h+Œ 38616ad48d56946308c9cf4d5efb5ed6”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-exact-3.2-r42hc72bb7e_1.tar.bz2”h0Œ@9b5a39ffcd2b6ee92727dd75a50b7e633d029837980b6c3e1a39d685c58bd48e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rootsolve”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐþ@Ä9XhEJˆW hFˆubh)”}”(hŒ	liac-arff”h#Œ2.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$liac-arff-2.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2ab00840986a9e9aa0d339f4edcc5817”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/liac-arff-2.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@90e5a61f84e7ef20a71c40c845a0d4b62492d6731af5ddfb63e52a9950196c37”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØnçïžhEMÎ<hFˆubh)”}”(hŒr-modeltools”h#Œ0.2_23”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-modeltools-0.2_23-r41hc72bb7e_1.tar.bz2”h+Œ 325fb14d9bdcc23ee8ae15d6d774148a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-modeltools-0.2_23-r41hc72bb7e_1.tar.bz2”h0Œ@31dbb607a0ba534b986a9ae6246e2e0dcdb282ab80fba540736ea295e4302647”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*Ù%š-hEJ-µ hFˆubh)”}”(hŒr-enrichwith”h#Œ0.3.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-enrichwith-0.3.1-r41hc72bb7e_2.tar.bz2”h+Œ 64677dfffc17533cd904915fd16b7693”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-enrichwith-0.3.1-r41hc72bb7e_2.tar.bz2”h0Œ@4b8f5d0d09f3e09c7b1ce971f3971e2a3f2d938dba420f2be06057f1fa6ffe4b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÑ·öŒÌÍhEJ‹À hFˆubh)”}”(hŒr-doparallel”h#Œ1.0.17”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-doparallel-1.0.17-r40hc72bb7e_0.tar.bz2”h+Œ 7f8371ec6755fe7cb3dc8e9e3d0056f7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-doparallel-1.0.17-r40hc72bb7e_0.tar.bz2”h0Œ@c046e6a5ec197f13353cf34f3bf995b6be298f0dd364f9a6cf9cd1536108e6f3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ€R¢ 1'hEJ- hFˆubh)”}”(hŒp11-kit-cos7-x86_64”h#Œ0.23.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ0p11-kit-cos7-x86_64-0.23.5-ha826a6f_1103.tar.bz2”h+Œ 5d631691889c0cd59ea4a26610c32391”h.Œ^https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-x86_64-0.23.5-ha826a6f_1103.tar.bz2”h0Œ@586681f4715954a1695ed8ef0a039ed7e2d3370d18ca5faa013a0b19b3d1a2f7”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ/g™‡hEJ,^ hFˆubh)”}”(hŒr-drawr”h#Œ1.0.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-drawr-1.0.3-r40hc72bb7e_0.tar.bz2”h+Œ 87a9f7e89f4a3a9723656ea4ba4802fd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-drawr-1.0.3-r40hc72bb7e_0.tar.bz2”h0Œ@e92676df4af3416db1fff91d4b5cb5b17ee49414d0225c4526235fd1b1636981”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrix”Œr-rocr”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ.ú6¸RhEM©éhFˆubh)”}”(hŒjava-1.7.0-openjdk-cos7-ppc64le”h#Œ	1.7.0.261”h%Œh9b0a68f_105”h'Kihhh(h)hŒ>java-1.7.0-openjdk-cos7-ppc64le-1.7.0.261-h9b0a68f_105.tar.bz2”h+Œ cf1dd052f97604332d48ee9804668019”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/java-1.7.0-openjdk-cos7-ppc64le-1.7.0.261-h9b0a68f_105.tar.bz2”h0Œ@2f3f0a11adfcd14dc993b5237a66a2319b7cfd13c8697243f582543e7deeb31c”h2NhNh3Œ:java-1.7.0-openjdk-headless-cos7-ppc64le ==1.7.0.261 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@Œ¸ASL 1.1 and ASL 2.0 and BSD and BSD with advertising and GPL+ and GPLv2 and GPLv2 with exceptions and IJG and LGPLv2+ and MIT and MPLv1.1 and MPLv2.0 and Public Domain and W3C and zlib”hBŒGPL2”hDGAØ@‘G&¸RhEJ'Á hFˆubh)”}”(hŒpydalle”h#Œ0.2.0”h%Œpyha21a80b_0”h'K hhh(h)hŒ"pydalle-0.2.0-pyha21a80b_0.tar.bz2”h+Œ 392a37914c9ad09bbd41c6d17c987ef8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pydalle-0.2.0-pyha21a80b_0.tar.bz2”h0Œ@b18ee50e48fe1d2a3c97a29f218ee106bd220996889088c912dba9d4686f1864”h2NhNh3Œpython >=3.8”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÑ
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5
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r-combinat”Œr-dplyr”Œr-igraph”Œ
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pymiescatt”h#Œ1.7.5.4”h%Œpy_0”h'K hhh(h)hŒpymiescatt-1.7.5.4-py_0.tar.bz2”h+Œ 4c748678ee905c4b587126f1891a7efb”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pymiescatt-1.7.5.4-py_0.tar.bz2”h0Œ@15788a11a01a9edfdbe8ebffb2268c91527854215e306409f41663f9e977cd45”h2NhNh3(Œ
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h1341992_2”h'Khhh(h)hŒ.orbit2-cos7-aarch64-2.14.19-h1341992_2.tar.bz2”h+Œ 7a5f9dfa4817eb932bd3487594350622”h.Œ\https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-aarch64-2.14.19-h1341992_2.tar.bz2”h0Œ@494948763f00c77070940f6c229e95336ffccb8f7eea6a51fbdc6c93a2300e40”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL-2”hDGA×Ÿ‡Ý°õÃhEJoÒ hFˆubh)”}”(hŒspacy-model-en_vectors_web_lg”h#Œ2.1.0”h%Œpyh0e0b3c3_0”h'K hhh(h)hŒ8spacy-model-en_vectors_web_lg-2.1.0-pyh0e0b3c3_0.tar.bz2”h+Œ a38d10a005083bd625b7972c58f38f2c”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/spacy-model-en_vectors_web_lg-2.1.0-pyh0e0b3c3_0.tar.bz2”h0Œ@8c760acfcd17507e69735c7b65ebb62929a68ae343ca5a7ad6334bb82c1c69bf”h2NhNh3Œpython”Œ
setuptools”Œspacy <3”‡”h9h?h@ŒCC BY-SA 3.0”hDGA×+_‰\)hEJ17‡$hFˆubh)”}”(hŒflask-security”h#Œ3.0.0”h%Œpy_0”h'K hhh(h)hŒ!flask-security-3.0.0-py_0.tar.bz2”h+Œ 16660706d469d9dbf79c67890e50386c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/flask-security-3.0.0-py_0.tar.bz2”h0Œ@255532083ae8c182969cc21f1af1472265ede3ea82dffd7e34ae7ddc18a41c46”h2NhNh3(Œflask >=0.11”Œflask-babelex >=0.9.3”Œflask-login >=0.3.0”Œflask-mail >=0.7.3”Œflask-principal >=0.3.3”Œflask-script”Œflask-wtf >=0.13.1”Œitsdangerous >=0.21”Œpasslib >=1.7”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hEMß˜hFˆubh)”}”(hŒ	shapicant”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$shapicant-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ d37b2fd2aa882534641d0144f348bdee”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/shapicant-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@dbafea92d23b66aebb3e5475a3351ee3581a7d07f2e764ab2dced023e28527af”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.6”Œscikit-learn”Œshap >=0.36.0”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØy&h ÅhEMv;hFˆubh)”}”(hŒpyomniscidb”h#Œ5.10.2”h%Œpy39h1234567_6”h'Khhh(h)hŒ)pyomniscidb-5.10.2-py39h1234567_6.tar.bz2”h+Œ a8288932760f6c10212d5ce8d14b6648”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pyomniscidb-5.10.2-py39h1234567_6.tar.bz2”h0Œ@336373b1fa96a8a6b0e88c4ff61ec4b4262bc034c4a29f31085d29ae21777b18”h2NhNh3(Œnumpy >=1.16,<2.0a0”Œpackaging >=20.0”Œpython”Œrequests”Œ
setuptools”Œsqlalchemy >=1.3”Œthrift 0.16.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ“áéÊÁhEJ) hFˆubh)”}”(hŒpysocks”h#Œ1.7.1”h%Œpyh0701188_6”h'Khhh(h)hŒ"pysocks-1.7.1-pyh0701188_6.tar.bz2”h+Œ 56cd9fe388baac0e90c7149cfac95b60”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2”h0Œ@b3a612bc887f3dd0fb7c4199ad8e342bd148cf69a9b74fd9468a18cf2bef07b7”h2NhNh3Œ__win”Œpython >=3.8”Œwin_inet_pton”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÂ…D’Ÿ¾hEM”KhFˆubh)”}”(hŒrequests”h#Œ2.28.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$requests-2.28.1-pyhd8ed1ab_0.tar.bz2”h+Œ 70d6e72856de9551f83ae0f2de689a7a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_0.tar.bz2”h0Œ@11f191f2f879563ec2e50e8ec675a24736d55b32ff04a4a60ef8971eedeee840”h2NhNh3(Œcertifi >=2017.4.17”Œcharset-normalizer >=2,<3”Œidna >=2.5,<4”Œpython >=3.6,<4.0”Œurllib3 >=1.21.1,<1.27”t”h6Œchardet >=3.0.2,<6”…”h9h?h@Œ
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Apache-2.0”hBŒApache”hDGAØp4¨ªáHhEMT$hFˆubh)”}”(hŒperfplot”h#Œ0.10.2”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ$perfplot-0.10.2-pyh6c4a22f_0.tar.bz2”h+Œ 8cc7e8bba2c44280ee5855cc4bce6c60”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/perfplot-0.10.2-pyh6c4a22f_0.tar.bz2”h0Œ@042a050645985e5fa0576897639514df457a5e038691e2d1cf719910a848f4b1”h2NhNh3(Œmatplotlib-base”Œmatplotx”Œnumpy >=1.20”Œpython >=3.7”Œrich”Œtyping_extensions”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØˆU]ÒòhEMÌjhFˆubh)”}”(hŒr-clustimpute”h#Œ0.2.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-clustimpute-0.2.4-r41hc72bb7e_0.tar.bz2”h+Œ 25b4de46c64ecbf501f7477bc7ec34a1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-clustimpute-0.2.4-r41hc72bb7e_0.tar.bz2”h0Œ@b7771b911d812d81a5479f6b44166cae58dde6c3bd40c5f59a0b4a853a3db2b1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-clusterr”Œr-copula”Œr-dplyr”Œ	r-ggplot2”Œr-knitr”Œ
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r-lfactors”h#Œ1.0.4”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-lfactors-1.0.4-r36hc72bb7e_0.tar.bz2”h+Œ 7d3995d86f9c9edddb0495116b73bb9d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lfactors-1.0.4-r36hc72bb7e_0.tar.bz2”h0Œ@14ebad2d89e01661a2fcf7b3e4e3b4387aac1ac3ce86c8a3204b570277e02e91”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×çöúN§ðhEJ hFˆubh)”}”(hŒr-rebird”h#Œ1.3.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-rebird-1.3.0-r41hc72bb7e_1.tar.bz2”h+Œ 780fbf33615d691b9db02bf3e9804a15”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rebird-1.3.0-r41hc72bb7e_1.tar.bz2”h0Œ@5c613ac60c70e37034a393122fb6352710c9a660afdd4988095878599fe03fd0”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-httr >=1.0.0”Œ
r-jsonlite”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÆ§4(öhEJáy	 hFˆubh)”}”(hŒmdolab-baseclasses”h#Œ1.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-mdolab-baseclasses-1.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ b0073e83f84d63a30c7e19753e5510a3”h.Œ[https://conda.anaconda.org/conda-forge/noarch/mdolab-baseclasses-1.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@956562e42fad2016c02b2904677cac372e35b109c6fa691016742547255cd3ad”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÏØ•>ffhEMàîhFˆubh)”}”(hŒr-mustat”h#Œ1.7.0”h%Œr36_1001”h'Méhhh(h)hŒr-mustat-1.7.0-r36_1001.tar.bz2”h+Œ dc5032768c3ad9ffef309246bf78dcf7”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-mustat-1.7.0-r36_1001.tar.bz2”h0Œ@0f69eeae4ebdcaa135a8b6e60637f56fef42e332a26ed6e59dcf4894fcced716”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LÐŠSøhEJ _ hFˆubh)”}”(hŒr-cellranger”h#Œ1.1.0”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ+r-cellranger-1.1.0-r40hc72bb7e_1004.tar.bz2”h+Œ 1445edbfa040dcfffd86a50eaa5a21e2”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-cellranger-1.1.0-r40hc72bb7e_1004.tar.bz2”h0Œ@e4f16e7ef3d692bbc6290e5de92599a55fe7d087efb99aed2a69990470997581”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-rematch”Œr-tibble”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØsRñ¯+hEJS² hFˆubh)”}”(hŒr-modes”h#Œ0.7.0”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ&r-modes-0.7.0-r36h6115d3f_1001.tar.bz2”h+Œ 2432e5995e7cf7b03e08a228db00a994”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-modes-0.7.0-r36h6115d3f_1001.tar.bz2”h0Œ@df52446b11671ef96e0a8249d079192ad0f63fdba903360a73359f89fd9b25b0”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒCC BY-NC-SA 4.0”hBŒCC”hDGA×LÕ¨qÛ#hEMÚhFˆubh)”}”(hŒ
r-lmertest”h#Œ3.1_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-lmertest-3.1_3-r41hc72bb7e_1.tar.bz2”h+Œ c98796b519c94989e5665114d0875412”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lmertest-3.1_3-r41hc72bb7e_1.tar.bz2”h0Œ@7102209bd8182283710c9a0114965c1b2e992f25aa526d1cc23178cfe0f33e06”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-lme4 >=1.1_10”Œr-mass”Œ
r-numderiv”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒòCŠ~úhEJ*‡ hFˆubh)”}”(hŒentropy”h#Œ0.1.0”h%Œpyh5ca1d4c_0”h'K hhh(h)hŒ"entropy-0.1.0-pyh5ca1d4c_0.tar.bz2”h+Œ eed6362676339da4d6811f083fb36e6c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/entropy-0.1.0-pyh5ca1d4c_0.tar.bz2”h0Œ@a3f545871092619046439fc9f39dd1ad1558bc83ad093a5d8a7689a1baecd50c”h2NhNh3(Œnumba”Œnumpy”Œpython”Œscikit-learn”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×`ž#ðQìhEMe7hFˆubh)”}”(hŒr-furrr”h#Œ0.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-furrr-0.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 24f51736502dd128f9531de1d2ef2b8c”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-furrr-0.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@b7418d8d7b22424638e05777c976a4d586427173183a6544bbb4a6fcff00775a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-ellipsis”Œr-future >=1.19.1”Œr-globals >=0.13.1”Œr-lifecycle >=0.2.0”Œr-purrr >=0.3.0”Œr-rlang >=0.3.0”Œr-vctrs >=0.3.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐWS|Ý/hEJ#¾ hFˆubh)”}”(hŒ	r-capushe”h#Œ1.1.1”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ(r-capushe-1.1.1-r36h6115d3f_1003.tar.bz2”h+Œ ac684d888736c202e8047b3c86e9fd96”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-capushe-1.1.1-r36h6115d3f_1003.tar.bz2”h0Œ@92c3965273f42e25097503665368fe73f4b9c795919917c36c08565bc737a44d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL (>= 2.0)”hBŒGPL3”hDGA×¬ÖèÔþhEJqÕ hFˆubh)”}”(hŒr-highcharter”h#Œ0.9.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-highcharter-0.9.4-r41hc72bb7e_1.tar.bz2”h+Œ d8bbc21d3c5c138a8590109c2b787363”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-highcharter-0.9.4-r41hc72bb7e_1.tar.bz2”h0Œ@53ea9ecc5fb9afc7107435d85be7a9fed1c8fc3f3e29ae99fcd7aeae368f8620”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr >=0.7.0”Œr-htmltools”Œr-htmlwidgets”Œr-igraph”Œ
r-jsonlite”Œr-lubridate”Œ
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r-quantmod”Œr-rjson”Œr-rlang >=0.1.1”Œr-rlist”Œr-stringr >=1.3.0”Œr-tibble >=1.1”Œr-tidyr”Œr-xts”Œr-yaml”Œr-zoo”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒiŒã33hEJÕµ hFˆubh)”}”(hŒr-runit”h#Œ0.4.32”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ(r-runit-0.4.32-r351h6115d3f_1000.tar.bz2”h+Œ dd97274f9ee0a9f9c0a5aaa69cb6b666”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-runit-0.4.32-r351h6115d3f_1000.tar.bz2”h0Œ@c45662760f156afd8aa8e6e8fbe64ab9b633c8865d04600c7870826f8769a536”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖýŒ1¡ËhEJ hFˆubh)”}”(hŒlibxext-cos7-ppc64le”h#Œ1.3.3”h%Œha826a6f_103”h'Kghhh(h)hŒ/libxext-cos7-ppc64le-1.3.3-ha826a6f_103.tar.bz2”h+Œ 018c96475dc6237f408fc76219fb155d”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-ppc64le-1.3.3-ha826a6f_103.tar.bz2”h0Œ@fcc9f5a19710fe0ef254045f2c1c8997d7c2de1797d701537bb8e05966471e8b”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0ý®{hEM¶›hFˆubh)”}”(hŒgputil”h#Œ1.4.0”h%Œpyh9f0ad1d_0”•      h'K hhh(h)hŒ!gputil-1.4.0-pyh9f0ad1d_0.tar.bz2”h+Œ 29db5f9b8c113f130e7f1fa497d48422”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/gputil-1.4.0-pyh9f0ad1d_0.tar.bz2”h0Œ@c9095547d61c28a2e82fb0d025728736eefb2fbe6e87f4fb89fa56336ba243e4”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×³Ö+™‡hEMŸ(hFˆubh)”}”(hŒpython-gflags”h#Œ3.1.2”h%Œpy_0”h'K hhh(h)hŒ python-gflags-3.1.2-py_0.tar.bz2”h+Œ 9a6bf8f8bf1fba16dfeb6c3076605c5f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/python-gflags-3.1.2-py_0.tar.bz2”h0Œ@ce8692db9d15645c502348486f37963288e435bfeb468906662f992572c4a91e”h2NhNh3Œpython”Œsix”†”h9h?h@ŒBSD 3-Clause”hDGAÖÓ}¼›¦hEM£hFˆubh)”}”(hŒr-glm2”h#Œ1.2.1”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ%r-glm2-1.2.1-r41ha770c72_1003.tar.bz2”h+Œ fefcda634737b8fa32826af69dc6c734”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-glm2-1.2.1-r41ha770c72_1003.tar.bz2”h0Œ@1c3e9204925ddf713d9ee5dce0fb39bdee8df6660e363eeeb92ce8b6b09973eb”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ*õßËSøhEJð hFˆubh)”}”(hŒneo4j-connector”h#Œ1.0.1”h%Œpy_1”h'Khhh(h)hŒ"neo4j-connector-1.0.1-py_1.tar.bz2”h+Œ 0240c86d01536971370161a8508e943f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/neo4j-connector-1.0.1-py_1.tar.bz2”h0Œ@150603ef51895d4ad9a91ae36aec11302a2c1bb4edfb83d0b8a851df586f5152”h2NhNh3Œpython”Œrequests <3.0,>=2.0”†”h9h?h@ŒMIT”hBŒMIT”hDGA×šô¼¸bhEMt"hFˆubh)”}”(hŒtoposort”h#Œ1.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!toposort-1.7-pyhd8ed1ab_0.tar.bz2”h+Œ ce711f7c322298edf8e7bd592a06b4b7”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/toposort-1.7-pyhd8ed1ab_0.tar.bz2”h0Œ@b605b620c3a926da994bfcf47c9343daad59553fbafd29bbf2cce6ead86f26cd”h2NhNh3Œ
python >=3”…”h9h?h@Œ
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r-waveslim”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒSq¼jhEJ= hFˆubh)”}”(hŒchiscore”h#Œ0.2.2”h%Œpy_1”h'Khhh(h)hŒchiscore-0.2.2-py_1.tar.bz2”h+Œ 43f9c555751b82fb943864e64fbfc7b8”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/chiscore-0.2.2-py_1.tar.bz2”h0Œ@d9787b3da1b6440579da0849ab85c0fe3358f23d9d36614ad4cf8917ace6d8f7”h2NhNh3(Œchi2comb-py >=0.0.4”Œnumpy >=1.17”Œ
pytest >=5”Œpytest-doctestplus >=0.8.0”Œ	python >3”Œscipy >=1.0.1”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Ø’•§®hEMnÆhFˆubh)”}”(hŒxcb-util-image-cos7-aarch64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7xcb-util-image-cos7-aarch64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ 10a91a25084995f8d803949976299946”h.Œehttps://conda.anaconda.org/conda-forge/noarch/xcb-util-image-cos7-aarch64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@0efdcd69ff32921f3212c0943245b8d9608883b8e0735c1d7f6c9d9083f0898b”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡Ð¶‡+hEM”<hFˆubh)”}”(hŒ!xorg-x11-util-macros-cos7-aarch64”h#Œ1.19.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ>xorg-x11-util-macros-cos7-aarch64-1.19.0-ha826a6f_1103.tar.bz2”h+Œ 298e516d06a8e543d85431159ebada43”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-util-macros-cos7-aarch64-1.19.0-ha826a6f_1103.tar.bz2”h0Œ@de632ed67a167f4476719b4987cf437f9c37d2688d205b2fc0bca0b3e6cc5515”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/ª®5?hEM ªhFˆubh)”}”(hŒxcb-util-devel-cos7-x86_64”h#Œ0.4.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6xcb-util-devel-cos7-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h+Œ b75a56606d405e5e6a62d559a0ee6ac8”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-devel-cos7-x86_64-0.4.0-h9b0a68f_1105.tar.bz2”h0Œ@4f8327e8e6f43b5498659838708854a1f79acf01602aae8b71ff085864eb83ef”h2NhNh3Œsysroot_linux-64 2.17.*”Œ#xcb-util-cos7-x86_64 ==0.4.0 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@jl]p¤hEM‹#hFˆubh)”}”(hŒ	r-tidylog”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-tidylog-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ 7ce6089e6bc79d3da738af10d48adb01”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tidylog-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@6ec4cf7fa461c594c103effbf27c44d1b9ece3ba0008296a0249b2d2397a16a5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-clisymbols”Œr-dplyr”Œr-glue”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+Ÿõ²ÀƒhEJl× hFˆubh)”}”(hŒr-mdmr”h#Œ0.5.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-mdmr-0.5.1-r36h6115d3f_1.tar.bz2”h+Œ 3fdd06a936eaa0f55c39384675c71969”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mdmr-0.5.1-r36h6115d3f_1.tar.bz2”h0Œ@500233ac8f409c1e361bcaa6fdd4da572269c35afceafbdd4c4d4be6362a05a9”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-car”Œr-compquadform”Œr-lme4”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LØ~TÌÍhEJlò hFˆubh)”}”(hŒrdma-core-cos7-ppc64le”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ1rdma-core-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h+Œ b99eedeb1d64b181b09741c73f1a4a01”h.Œ_https://conda.anaconda.org/conda-forge/noarch/rdma-core-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h0Œ@a5f02b1d0c8b717a5a99d3f67554d2cbaae79e4a5e54ef5b68ebc9dc63e60ec5”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,£~§ðhEM ·hFˆubh)”}”(hŒ	is-number”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$is-number-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 84ca9308bf3c904dc5f20c0b31d0e238”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/is-number-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0a4a4d6634e57a1d1020c687314c5b7ba43d019fab09c64c0067a0b14add98fa”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ ¯¤:MÓhEMòhFˆubh)”}”(hŒtabulatehelper”h#Œ0.0.7”h%Œpy_0”h'K hhh(h)hŒ!tabulatehelper-0.0.7-py_0.tar.bz2”h+Œ f41645a7b103f35d9223001a5bc1f94e”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/tabulatehelper-0.0.7-py_0.tar.bz2”h0Œ@38274448cf1301adf9f0d6a37dc9258a1485b9d9fa62b1ddaa2ac550bef9a816”h2NhNh3Œpandas”Œpython >=3.6”Œtabulate >=0.8.2”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×Ö¸]ó¶hEMñ#hFˆubh)”}”(hŒfuture-annotations”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-future-annotations-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8b3d0a201f38cb0f64f53ef075751728”h.Œ[https://conda.anaconda.org/conda-forge/noarch/future-annotations-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3724cfa7879282060a9f85ea2bc6303686fd9dcf7e7afb85954ea7966b120054”h2NhNh3Œpython >=3.6”Œtokenize-rt >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ^ëVÙhEM‘$hFˆubh)”}”(hŒpcre-cos7-ppc64le”h#Œ8.32”h%Œh9b0a68f_105”h'Kihhh(h)hŒ+pcre-cos7-ppc64le-8.32-h9b0a68f_105.tar.bz2”h+Œ d78395060531671e642a55471fe6abe5”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pcre-cos7-ppc64le-8.32-h9b0a68f_105.tar.bz2”h0Œ@40fd45244db0a4317fd4c8fafc5bf7cdc9932ab82934f659f406963ae65f59c2”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@‡„‚n˜hEJ#| hFˆubh)”}”(hŒr-formattable”h#Œ0.2.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ)r-formattable-0.2.1-r41ha770c72_1.tar.bz2”h+Œ 2e7e624c117d6cc1b9c3c9a87f36c494”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-formattable-0.2.1-r41ha770c72_1.tar.bz2”h0Œ@a912ad93d3276b4f26ab5e9228f0d9d14c735b0a10291dc58a0d4aaa80fc125c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-htmlwidgets”Œr-knitr”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐþ8æVhEJµ hFˆubh)”}”(hŒ	mechanize”h#Œ0.4.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$mechanize-0.4.8-pyhd8ed1ab_0.tar.bz2”h+Œ 1a8734b01d0abb6bd8014aa88a96584a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/mechanize-0.4.8-pyhd8ed1ab_0.tar.bz2”h0Œ@737a0ff79a998c68bcf75538daf551c496a61b6b88b42f17603c9f985f31f46d”h2NhNh3Œhtml5lib >=0.999999999”Œpython ==2.7.*|>=3.5”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ–ÏÏ®hEJ¡[ hFˆubh)”}”(hŒlibnl-cos7-x86_64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-libnl-cos7-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 2ca330f854305bc2150d8d0b53ebe244”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-x86_64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@4d0f2474f83cfd65904025af82e4a609e11c7f34928726745bdda20f389ec45a”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÉzãA©ühEJºR hFˆubh)”}”(hŒr-mlergm”h#Œ0.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-mlergm-0.8-r40hc72bb7e_0.tar.bz2”h+Œ 4b834d664515b8589c672fa0e6d3b1bb”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mlergm-0.8-r40hc72bb7e_0.tar.bz2”h0Œ@5d27e3333d86d560ee609346074d97c4e663db4577865c3982bb056e25831675”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cowplot”Œr-ergm >=3.10.1”Œr-ggally”Œ	r-ggplot2”Œ	r-lpsolve”Œr-matrix”Œr-network >=1.15”Œr-plyr”Œ
r-reshape2”Œr-sna >=2.4”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØY‡:ÀƒhEJHÐ hFˆubh)”}”(hŒvoila-vuetify”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(voila-vuetify-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ de2ba08876df7aa82902731dad408ed1”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/voila-vuetify-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e60d5c5bab6cedd78380aebf0e32203516e37619112bdcdcc472e8152dc63bee”h2NhNh3Œpython >=3.6”Œvoila >=0.2,<0.4”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÜÕï~‡+hEM^@hFˆubh)”}”(hŒfenics-dijitso”h#Œ2019.1.0”h%Œpy_4”h'Khhh(h)hŒ$fenics-dijitso-2019.1.0-py_4.tar.bz2”h+Œ 3091ac9a1c48353b59e66495e6002364”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/fenics-dijitso-2019.1.0-py_4.tar.bz2”h0Œ@018324dce7eb9edbdddfe632295e8b4d79e87262ecee6a8fa2dde880ba1ae297”h2NhNh3Œnumpy”Œpython >=3.5”Œ
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r-jsonlite”Œ
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pip 22.1.*”Œplotly 5.9.*”Œ
postgresql”Œpsycopg2 <2.9”Œpycrypto 2.6.*”Œpyjwt <2.0.0”Œpyopenssl 22.0.*”Œpython >=3.6”Œpython-jose 3.3.*”Œrequests 2.28.*”Œrequests-mock 1.9.*”Œservice_identity 18.1.*”Œsiphon 0.9.*”Œsocial-auth-app-django 4.0.*”Œsqlalchemy 1.4.*”Œtethys_dask_scheduler >=1.0.2”Œtethys_dataset_services >=2.0.0”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØÃVÂ“hEJÙ	 hFˆubh)”}”(hŒbootstrap_contrast”h#Œ1.0”h%Œpy_0”h'K hhh(h)hŒ#bootstrap_contrast-1.0-py_0.tar.bz2”h+Œ 80125af868f126e68d2d43cbcb1fb70b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/bootstrap_contrast-1.0-py_0.tar.bz2”h0Œ@19dcc0fc65be2601d19dcd4c38c93526b257f08ddfaf44b9c32357ebc1a23c25”h2NhNh3(Œ
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Apache-2.0”hBŒOTHER”hDGAØ
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rb-logging”h#Œ2.3.0”h%Œ
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r-generics”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-generics-0.1.3-r41hc72bb7e_0.tar.bz2”h+Œ 02fbbc6305c42879ee8d3c5968dd26dc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-generics-0.1.3-r41hc72bb7e_0.tar.bz2”h0Œ@709c3af599ff951aac25ec328a867d2d85edbd4e0244413af4c8c7a4d83bb00c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ±>£Ù‡hEJ?r hFˆubh)”}”(hŒ
r-outliers”h#Œ0.15”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-outliers-0.15-r41hc72bb7e_1.tar.bz2”h+Œ a82f9f3e1f58e94dc5a67f4fdffbbf2b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-outliers-0.15-r41hc72bb7e_1.tar.bz2”h0Œ@6a1e7949344d68b81d96d4fc3236d8b54e8d8a921fc53cf172b64dabe539f442”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ”NÙhEJm“ hFˆubh)”}”(hŒ
r-solarius”h#Œ0.3.0.2”h%Œr35_1001”h'Méhhh(h)hŒ#r-solarius-0.3.0.2-r35_1001.tar.bz2”h+Œ ee87499b35d2b97655d462289e7e2cce”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-solarius-0.3.0.2-r35_1001.tar.bz2”h0Œ@a7bdc83a8f689006f27f5e9733ae2efb7c9efc54082070bf8984b8104f450e12”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-data.table”Œ	r-ggplot2”Œr-plyr >=1.8.1”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×L¬ÉxÕhEJƒØ
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gsw-xarray”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%gsw-xarray-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7773c45510143685507d7a113fdbdb8b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/gsw-xarray-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2d64dd2e0efa660b0697ef40368cb91674d2b1318b4d5412805a18599be1ac05”h2NhNh3Œgsw >=3.4.0”Œpython >=3.8”Œxarray >=0.20.2”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÇnVÖ$ÝhEMIThFˆubh)”}”(hŒdask”h#Œ2022.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"dask-2022.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6571048ce97733a2682de74f2dd2dfd0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/dask-2022.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@883be078840a96c181fb3ced648a046d2e9a82d003b534b0af57f4a2a6e981a4”h2NhNh3(Œbokeh >=2.4.2”Œcytoolz >=0.8.2”Œ"dask-core >=2022.9.0,<2022.9.1.0a0”Œ$distributed >=2022.9.0,<2022.9.1.0a0”Œjinja2”Œlz4”Œnumpy >=1.18”Œpandas >=1.0”Œpython >=3.8”t”h6Œopenssl !=1.1.1e”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÄ¡´‘hhEMÏhFˆubh)”}”(hŒlb-nightly-db”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(lb-nightly-db-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7e16622a33191707c0a3c7bbc062a7e9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/lb-nightly-db-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8dc9bbfa28ffb07ea23a024e1f43c663f3bbc2bfaaed632f8f474b15c6dbd60d”h2NhNh3Œcloudant >=2.14.0,<3.0.0”Œ#lb-nightly-configuration >=0.3,<1.0”Œpython >=3.6,<4.0”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÊX™Ú-hEM’ghFˆubh)”}”(hŒorbit2-cos7-x86_64”h#Œ2.14.19”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0orbit2-cos7-x86_64-2.14.19-h9d98e8f_1104.tar.bz2”h+Œ 892ceda069e5a1955942b84e59a4da9c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-x86_64-2.14.19-h9d98e8f_1104.tar.bz2”h0Œ@bd8e36b94bc275535811379aef04c0411c69b39ce7f2559880c74dcf1b86a295”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×ÉyPmãThEJ\ÿ hFˆubh)”}”(hŒtwython”h#Œ3.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"twython-3.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ d7e389e4c18b1a35c58180cfb8eff3cf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/twython-3.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ab93a0461ef181703d480e56bc1ae1124090f7516a602b25efafa4b717859dd3”h2NhNh3Œpython >=3.6”Œrequests >=2.1.0”Œrequests-oauthlib >=0.4.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ<‡½'ïžhEMìrhFˆubh)”}”(hŒrshiny-server-cmd”h#Œ0.0.2”h%Œpy_0”h'K hhh(h)hŒ$rshiny-server-cmd-0.0.2-py_0.tar.bz2”h+Œ 90e385056bd49b2e87d86a299a67d1a1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rshiny-server-cmd-0.0.2-py_0.tar.bz2”h0Œ@bbb9760b4aec17373a13381d8879cb4b285891b792811fe039615e885eb4e21e”h2NhNh3Œclick >=7.0”Œpython >=3.6,<4.0.0”†”h9h?h@Œ
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setuptools”‡”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖè©¤Ï
=hEJ¨î hFˆubh)”}”(hŒlibxext-devel-cos7-aarch64”h#Œ1.3.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libxext-devel-cos7-aarch64-1.3.3-h9d98e8f_104.tar.bz2”h+Œ 834c2ca68a30eb8d8100df19d01e80d8”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-aarch64-1.3.3-h9d98e8f_104.tar.bz2”h0Œ@26ca868efcfbd2939dc0c4dc7588eb8ad99878d94c896840ce844c5705198775”h2NhNh3Œ"libxext-cos7-aarch64 ==1.3.3 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É}LSøhEJE hFˆubh)”}”(hŒ
r-lambda.r”h#Œ1.2.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-lambda.r-1.2.4-r41hc72bb7e_1.tar.bz2”•      h+Œ 0cdb436f2dd68815329b28ba9ffce962”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lambda.r-1.2.4-r41hc72bb7e_1.tar.bz2”h0Œ@a5a1908d26e4e3690b5708bca90f3074c95c5a2203772550715598cfe2e96e2f”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-formatr”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ*çok"ÑhEJ†Þ hFˆubh)”}”(hŒlibxft-cos7-aarch64”h#Œ2.3.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libxft-cos7-aarch64-2.3.2-hdf0574f_1102.tar.bz2”h+Œ c7e61fa9ec57fa95736e4f639867bb1e”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-aarch64-2.3.2-hdf0574f_1102.tar.bz2”h0Œ@0adda0282cd3bbf795eef437bd065a6026b9b8d7b5322faf9fa27e3d2873417c”h2NhNh3Œ$fontconfig-cos7-aarch64 >=2.2 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµÈö5?hEMåhFˆubh)”}”(hŒlibxfixes-devel-cos7-aarch64”h#Œ5.0.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7libxfixes-devel-cos7-aarch64-5.0.3-hdf0574f_102.tar.bz2”h+Œ da87ac4591e07ebf32c57d856bc2510a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxfixes-devel-cos7-aarch64-5.0.3-hdf0574f_102.tar.bz2”h0Œ@92c2b582403ff820663f7a5f19515312427b61d80d669bc184034c22b7905ffc”h2NhNh3Œ$libxfixes-cos7-aarch64 ==5.0.3 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ’~úhEMZ#hFˆubh)”}”(hŒr-futile.options”h#Œ1.0.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ/r-futile.options-1.0.1-r41hc72bb7e_1002.tar.bz2”h+Œ d8ce292272b4a660fe3ac7ee93c13c9f”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-futile.options-1.0.1-r41hc72bb7e_1002.tar.bz2”h0Œ@54650ef9e5a2e4422c7ce0e6b9439d2d2da47e1f6e6f7f7e0dcad289112d4f04”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ*Þ§¾whEMÿjhFˆubh)”}”(hŒvarint”h#Œ1.0.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!varint-1.0.2-pyh9f0ad1d_0.tar.bz2”h+Œ 4b09bbb71c8286b54396ac9c772611fd”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/varint-1.0.2-pyh9f0ad1d_0.tar.bz2”h0Œ@b336cbbace103ab63ea0079a143c7e5ca9ef08f65d0e1210e6c6faab9b08dbcc”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×·ù{²ÐåhEM.hFˆubh)”}”(hŒcups-devel-cos6-x86_64”h#Œ1.4.2”h%Œha826a6f_103”h'Kghhh(h)hŒ1cups-devel-cos6-x86_64-1.4.2-ha826a6f_103.tar.bz2”h+Œ deb71da7a6f75197a0f59426d3bd1142”h.Œ_https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos6-x86_64-1.4.2-ha826a6f_103.tar.bz2”h0Œ@abc9746b09848708bd254fe0aa0b69756d75c796d19768653679efbc1a326aff”h2NhNh3Œ#cups-libs-cos6-x86_64 ==1.4.2 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{el‹hEMÌähFˆubh)”}”(hŒpychx”h#Œ4.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pychx-4.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ e814e400b35c530a494f7f60914bc574”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pychx-4.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@d018c3131b4d7ec82081fc597410046a38aa6dd2813768415791e6842a51a2c7”h2NhNh3(Œ
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Apache-2.0”hBŒAPACHE”hDGAØ˜Wße/hEM*ŠhFˆubh)”}”(hŒversion_information”h#Œ1.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.version_information-1.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ b693ecdfab51dbdf8b829f7adec615ea”h.Œ\https://conda.anaconda.org/conda-forge/noarch/version_information-1.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e1d0cc95de7185b1291ac99bd708c4616578745348cee994f55ed0efece30a44”h2NhNh3Œipython”Œpython >=3.6”†”h9h?h@Œ	CC-BY-3.0”hDGAØI@-7l‹hEMÀhFˆubh)”}”(hŒr-textclean”h#Œ0.9.3”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ*r-textclean-0.9.3-r42hc72bb7e_1003.tar.bz2”h+Œ eb4087991e4f89fcb94ace3398dd048f”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-textclean-0.9.3-r42hc72bb7e_1003.tar.bz2”h0Œ@451ca9a43f29716212abd1b76b420d6d6a466dfb496235cac00acf28b9613d02”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-english >=1.0_2”Œr-glue >=1.3.0”Œr-lexicon >=1.0.0”Œr-mgsub >=1.5.0”Œr-qdapregex”Œ	r-stringi”Œr-textshape >=1.0.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ
ÏÖ$ÝhEJUò hFˆubh)”}”(hŒpydes”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pydes-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7664a97b6618696a7044f723d7bbca6e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pydes-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7d238111e2d138864b8cb07c567dce0a1690148c35b1fae143ee59b2e897960c”h2NhNh3Œpython >=3.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØxUvvÉhEM4hFˆubh)”}”(hŒr-beepr”h#Œ1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-beepr-1.3-r41hc72bb7e_0.tar.bz2”h+Œ b1851ceb1df527031aac6e50a16ec46f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-beepr-1.3-r41hc72bb7e_0.tar.bz2”h0Œ@6ca5edc095e7bc0788bc40dff2534421d73a6cc2ea5d6124325d89db8a7f8930”h2NhNh3Œr-audio”Œr-base >=4.1,<4.2.0a0”Œr-stringr >=1.0.0”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØTþ\¬hEJÚ hFˆubh)”}”(hŒ
safe-netrc”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒsafe-netrc-1.0.0-py_0.tar.bz2”h+Œ 00b421216ba17b46c762db24bba5a1be”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/safe-netrc-1.0.0-py_0.tar.bz2”h0Œ@be6852e212a16a2e539de585e4561be9c1e7f4f145acee08ed232d7d824907d2”h2NhNh3Œpython”…”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGA×‘t÷ß;hEM	:hFˆubh)”}”(hŒsystemd-cos7-aarch64”h#Œ219”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.systemd-cos7-aarch64-219-h9d98e8f_1104.tar.bz2”h+Œ 70235ab90269e2a0406ff6652ba762e8”h.Œ\https://conda.anaconda.org/conda-forge/noarch/systemd-cos7-aarch64-219-h9d98e8f_1104.tar.bz2”h0Œ@85a4cc3e16d0d328433663732b1265d2b55772d445551a3160fe5a2bac1149af”h2NhNh3(Œ&centos-release-cos7-aarch64 >=7 *_1104”Œkmod-cos7-aarch64 >=18 *_1104”Œsysroot_linux-aarch64 2.17.*”Œ&systemd-libs-cos7-aarch64 ==219 *_1104”t”h9hºh@ŒLGPLv2+ and MIT and GPLv2+”hBŒGPL2”hDGA×Ø™`QìhEJìðq hFˆubh)”}”(hŒretools”h#Œ0.4.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"retools-0.4.1-pyhd3deb0d_0.tar.bz2”h+Œ 2e7107e2e00a7b0d3b11489d92b45e2a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/retools-0.4.1-pyhd3deb0d_0.tar.bz2”h0Œ@7916f33fc471686e6905aacd1154e432128799539b737d39c0eccbd9510c6db3”h2NhNh3Œpython”Œredis-py >=2.7.3”Œsetproctitle >=1.1.2”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×óªNa%hEMØihFˆubh)”}”(hŒjavapackages-tools-cos7-ppc64le”h#Œ3.4.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ;javapackages-tools-cos7-ppc64le-3.4.1-h9d98e8f_1104.tar.bz2”h+Œ 5664267c5454cdd68b8d0e89dd1e018f”h.Œihttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-ppc64le-3.4.1-h9d98e8f_1104.tar.bz2”h0Œ@344ed2bf0c74257cb544de3e42ab88d8bb076f764081a0c14d170155bf96935b”h2NhNh3Œ/python-javapackages-cos7-ppc64le ==3.4.1 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×É}°ÔþhEMÆÜhFˆubh)”}”(hŒillusionist”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&illusionist-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 75fa6c2b71432a463910456e2158fafd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/illusionist-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1ec065c521a5153d179776a0c8fce93a3768ddac70fb4422c6d783daecf60e78”h2NhNh3(Œipywidgets >=7.6.5,<8.0.0”Œnbclient >=0.5.0”Œnbconvert >=6.2.0,<7”Œnbformat >=5.0.7”Œpython >=3.6,<4.0”Œstructlog >=21.1.0,<22.0.0”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØUlýôhEJs68 hFˆubh)”}”(hŒlibnl3-cos7-x86_64”h#Œ3.2.28”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libnl3-cos7-x86_64-3.2.28-h9d98e8f_1104.tar.bz2”h+Œ 15c352e6783e82d083b7d60777d00b5a”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-x86_64-3.2.28-h9d98e8f_1104.tar.bz2”h0Œ@7494a32ba46e64a93f79a6cc2f7c911c5588f44b04e3d35eff53b40277762b80”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÉzIòÀƒhEJ¬ hFˆubh)”}”(hŒ
r-subspace”h#Œ1.0.4”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-subspace-1.0.4-r36h6115d3f_1.tar.bz2”h+Œ 0001c5d35cc25713146ae8d4616b97fd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-subspace-1.0.4-r36h6115d3f_1.tar.bz2”h0Œ@b21f74f2f553e9a25abffcbbd48b905f6d03ef520bddfc6af9dec4b89b662fce”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-colorspace >=1.0”Œr-ggvis >=0.4.2”Œr-rjava >=0.9”Œr-stringr >=1.0.0”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×À÷wƒ"ÑhEJb€A hFˆubh)”}”(hŒmesa-libegl-cos7-aarch64”h#Œ18.3.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5mesa-libegl-cos7-aarch64-18.3.4-h9b0a68f_1105.tar.bz2”h+Œ 736f6cdb85cd0eb993d222f62e6c443e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-aarch64-18.3.4-h9b0a68f_1105.tar.bz2”h0Œ@7ef401cbe0da3045c44f499fdaa1668e6587193163cb2531504ae6b442a84054”h2NhNh3Œ(mesa-libgbm-cos7-aarch64 ==18.3.4 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@YlzáhEJ± hFˆubh)”}”(hŒr-value”h#Œ2.2.2”h%Œr42ha770c72_2”h'Khhh(h)hŒ#r-value-2.2.2-r42ha770c72_2.tar.bz2”h+Œ 523e2c7d0a5e45903290ddbfc8482ff8”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-value-2.2.2-r42ha770c72_2.tar.bz2”h0Œ@3b0adbadf0a50dd01f0260fe1608dc3d172f69c09b857478117120567ead13c1”h2NhNh3(Œr-abind”Œr-base >=4.2,<4.3.0a0”Œr-evd”Œr-loader >=1.4.10”Œ
r-magrittr”Œ	r-pbapply”Œr-rcppeigen”Œr-rcurl”Œr-signal”Œr-transformer”Œr-verification”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ×²	XhEJ…4qhFˆubh)”}”(hŒasciichartpy”h#Œ1.5.25”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(asciichartpy-1.5.25-pyhd8ed1ab_0.tar.bz2”h+Œ 79ed7602e0fb1e3c476e1b0184df4bc0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/asciichartpy-1.5.25-pyhd8ed1ab_0.tar.bz2”h0Œ@840ed79c64df58810bea5c34dd2953dabb0eea4b9947650ddeb39ffb59390dc4”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ‰òÐ#¥ãhEMò(hFˆubh)”}”(hŒ
r-pinfsc50”h#Œ1.2.0”h%Œr41ha770c72_0”h'K hhh(h)hŒ&r-pinfsc50-1.2.0-r41ha770c72_0.tar.bz2”h+Œ 01d82fe46198cc59a3c75043c760de55”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pinfsc50-1.2.0-r41ha770c72_0.tar.bz2”h0Œ@353b0f3dae3555b04109948d2feaf3a9b70b59fc8389a0370c5b78b7dcaaa802”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØ*ÿE/KÇhEJx5 hFˆubh)”}”(hŒr-deming”h#Œ1.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-deming-1.4-r41hc72bb7e_1.tar.bz2”h+Œ 36ba914dd646834970dc63bfc40b2a49”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-deming-1.4-r41hc72bb7e_1.tar.bz2”h0Œ@3e943d820c28b60bb419c935dfac6d738c1f08b2966361818b42b8bd1b9829a0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-boot”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØÒ‹“#33hEJ[• hFˆubh)”}”(hŒlibxext-cos7-ppc64le”h#Œ1.3.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/libxext-cos7-ppc64le-1.3.3-hdf0574f_102.tar.bz2”h+Œ 9f52985da6335cfaa2586ba2851d3106”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-ppc64le-1.3.3-hdf0574f_102.tar.bz2”h0Œ@0d352559991b06ac311bc3e5a0037714d13d91a97170fdac42ffe11a9854006e”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_102”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+úJhEMì˜hFˆubh)”}”(hŒjupyter-launcher-shortcuts”h#Œ1.0rc1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ6jupyter-launcher-shortcuts-1.0rc1-pyhd8ed1ab_0.tar.bz2”h+Œ ffe1ef3dc41ded89b87f6c5854d4a1a0”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/jupyter-launcher-shortcuts-1.0rc1-pyhd8ed1ab_0.tar.bz2”h0Œ@79c5ea4b0849e807f3ba02a0e69f677cce481c2bbd78cd22e9d46047a74d6057”h2NhNh3(Œaiohttp”Œnotebook”Œpython >=3.5”Œsimpervisor”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØy¨¿
=hEM¯$hFˆubh)”}”(hŒlibxdamage-devel-cos6-x86_64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ8libxdamage-devel-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ 8d1417c95b5b813ae38edeb09b0e8d2a”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxdamage-devel-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@f0313af7870af93b3287ca37aed089e819207c289db9a5a5ff3fda19909890ef”h2NhNh3Œ%libxdamage-cos6-x86_64 ==1.1.3 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2%q™šhEMhFˆubh)”}”(hŒlibxft-cos7-x86_64”h#Œ2.3.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.libxft-cos7-x86_64-2.3.2-h9b0a68f_1105.tar.bz2”h+Œ f3cc10ad447ce4e54ab48b69ca9bf34e”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-x86_64-2.3.2-h9b0a68f_1105.tar.bz2”h0Œ@5914d4474bccaaffb7099ba796c01e849efd858adef31ebdea7d4784da8f6169”h2NhNh3Œ#fontconfig-cos7-x86_64 >=2.2 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@nÒ¹G®hEMEçhFˆubh)”}”(hŒr-aggregation”h#Œ1.0.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ,r-aggregation-1.0.1-r36h6115d3f_1002.tar.bz2”h+Œ a5e90fc864a3db778495293dcfdb11f2”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-aggregation-1.0.1-r36h6115d3f_1002.tar.bz2”h0Œ@a7c870ef667efc9199a919fa97d96901e5e3a1a035b6a28a47e02b841210eb52”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­TLåãThEM{hFˆubh)”}”(hŒfinance_enums”h#Œ0.1.1”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ(finance_enums-0.1.1-pyh1a96a4e_0.tar.bz2”h+Œ d7f702c90e16fde6a1e4e3d107b5fdcd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/finance_enums-0.1.1-pyh1a96a4e_0.tar.bz2”h0Œ@0c4b033de4b4dc1311c777b6d3a7a267b058a877d71cbad9d963285f0770a91e”h2NhNh3Œpandas >=0.22”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÊzù;¶FhEMùhFˆubh)”}”(hŒ	r-statnet”h#Œ2019.6”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ&r-statnet-2019.6-r42hc72bb7e_3.tar.bz2”h+Œ 06bdd738938f14b70f5a42fc58252802”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-statnet-2019.6-r42hc72bb7e_3.tar.bz2”h0Œ@8bd43df30dbd897bec3feff56a6afd8304c278614199a605a835c2894b250873”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ergm >=3.10.4”Œr-ergm.count >=3.3”Œr-network >=1.15”Œr-networkdynamic >=0.10”Œr-sna >=2.4”Œr-statnet.common >=4.2”Œr-tergm >=3.6.1”Œr-tsna >=0.3”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑþip¤hEM¸¯hFˆubh)”}”(hŒr-redshifttools”h#Œ1.0.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ+r-redshifttools-1.0.1-r36h6115d3f_1.tar.bz2”h+Œ efe74c44b0accb70f7af148d4095cdbb”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-redshifttools-1.0.1-r36h6115d3f_1.tar.bz2”h0Œ@c574a49ba03bd964da9adad0da1d66125600725ce9fb0baa629b7cf8205cd08d”h2NhNh3(Œr-aws.s3”Œr-base >=3.6,<3.7.0a0”Œr-dbi”Œ
r-progress”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×L¸ˆG\)hEM`ÞhFˆubh)”}”(hŒabsl-py”h#Œ0.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#absl-py-0.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ e743cbb3f5c9c531633d728c88b49871”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/absl-py-0.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@898ed32e00d6b98d178f241958ddddd10b606c26acf406b0b127ecff00083fe8”h2NhNh3Œ
python >=3”Œsix”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ïNCÐ ÅhEJÂz hFˆubh)”}”(hŒr-tidycmprsk”h#Œ0.2.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-tidycmprsk-0.2.0-r41hc72bb7e_0.tar.bz2”h+Œ bb9ed1c56cc57d6ec7fbe4813eb76657”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tidycmprsk-0.2.0-r41hc72bb7e_0.tar.bz2”h0Œ@17013b57fefe0cff30d39ad90e41f846a633ea0dc166a8166954759ce6305974”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom >=0.7.11”Œr-cli >=3.1.0”Œr-cmprsk >=2.2.10”Œr-dplyr >=1.0.7”Œr-ggplot2 >=3.3.5”Œr-gtsummary >=1.5.2”Œr-hardhat >=0.2.0”Œr-purrr >=0.3.4”Œr-rlang >=1.0.0”Œr-stringr >=1.4.0”Œ
r-survival”Œr-tibble >=3.1.6”Œr-tidyr >=1.1.4”t”h9hºh@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAØÎÈq¢ÐåhEJd$ hFˆubh)”}”(hŒattrs”h#Œ19.3.0”h%Œpy_0”h'K hhh(h)hŒattrs-19.3.0-py_0.tar.bz2”h+Œ 5ddf9ee0eb95aac1d3881a8e3df5a1fa”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/attrs-19.3.0-py_0.tar.bz2”h0Œ@8c7d28e8db4f0269b1db8cc0fd93707ea176e74dc370d83b0a9b36ba095c6f82”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×io–5?hEM.ŠhFˆubh)”}”(hŒr-akmbiclust”h#Œ0.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-akmbiclust-0.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 36356cd80e1c5d3b7505e553aeb40983”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-akmbiclust-0.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@d021ccabb7a4180c7b201a63881ce96c9042f6902c1ae08b3a736b78ed6d5d5a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ`?7 1'hEMò‰hFˆubh)”}”(hŒjupyter-starters”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+jupyter-starters-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ a25afebd3e92f5d561155e3a2349f70a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyter-starters-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@31572fa177bc44d7118fbf04a04a93fbe3bb9b863a21ea72103046381d49211b”h2NhNh3Œjupyter_client >=6.1.0”Œjupyterlab >=3,<4”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ~OÑnffhEJ³4 hFˆubh)”}”(hŒase”h#Œ3.22.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒase-3.22.1-pyhd8ed1ab_1.tar.bz2”h+Œ 9f83f7881be9083630c532b5b3208a7d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ase-3.22.1-pyhd8ed1ab_1.tar.bz2”h0Œ@93f1a4c4d8cc0e176a52c761a32e0be7f28f6b07bc985d5a4dc1ddd7b4f24239”h2NhNh3(Œflask”Œmatplotlib-base”Œnumpy”Œpython >=3.5”Œscipy”t”h9h?h@ŒLGPL-2.1-or-later”hDGAØiðÏà“uhEJß hFˆubh)”}”(hŒr-emld”h#Œ0.5.1”h%Œr40h6115d3f_0”h'K hhh(h)hŒ"r-emld-0.5.1-r40h6115d3f_0.tar.bz2”h+Œ 74fc8b0f5d7a733961549235a037846e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-emld-0.5.1-r40h6115d3f_0.tar.bz2”h0Œ@dbd4ffaaa5baaed5971d3deac46bf7d7f2aaae7f29799284cc5e876e46dd1682”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-jsonld”Œ
r-jsonlite”Œr-xml2”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Ü"q{hEJÊ¯ hFˆubh)”}”(hŒaiida-bigdft”h#Œ0.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'aiida-bigdft-0.2.6-pyhd8ed1ab_0.tar.bz2”h+Œ 3a92ec790d00a24518ad321d00651d9a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/aiida-bigdft-0.2.6-pyhd8ed1ab_0.tar.bz2”h0Œ@22a5e2af05afc42bf280210581827906d61154362f2fc1a0df7fd3fa08b44684”h2NhNh3(Œaiida-core >=1.1.1,<2.0.0”Œpython >=3.7”Œsix”Œ
voluptuous”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ³fxÕhEJV~ hFˆubh)”}”(hŒdjango-bootstrap3”h#Œ11.1.0”h%Œpy_0”h'K hhh(h)hŒ%django-bootstrap3-11.1.0-py_0.tar.bz2”h+Œ 4183620bc205f36ff23030e735974c56”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/django-bootstrap3-11.1.0-py_0.tar.bz2”h0Œ@fddbb6ecb144cf3a2418c19992a428690cacc23d2a9779e60820af30661fac3b”h2NhNh3Œdjango >=1.8”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×QÒriûçhEMkqhFˆubh)”}”(hŒr-tidync”h#Œ0.3.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ$r-tidync-0.3.0-r42hc72bb7e_0.tar.bz2”h+Œ 5a123682237ac51b577d0c3ab41336cc”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-tidync-0.3.0-r42hc72bb7e_0.tar.bz2”h0Œ@a173a44b042673ae42d7719f65d920d75b2cbafae601e388fe410838d63b970e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.7.0”Œ	r-forcats”Œ
r-magrittr”Œr-ncdf4”Œr-ncmeta >=0.2.0”Œr-purrr”Œr-rlang”Œr-rnetcdf >=1.9_1”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÖ•ahEJ˜ hFˆubh)”}”(hŒghapi”h#Œ1.0.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ ghapi-1.0.3-pyhd8ed1ab_1.tar.bz2”h+Œ 4ab9aac9956c760b6c5a79dd329271fd”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ghapi-1.0.3-pyhd8ed1ab_1.tar.bz2”h0Œ@a4aeceb43848587cc0b50b8704525398e119dbfc9b8c9bc3dd5f686a47e70b7b”h2NhNh3(Œfastcore”Œ	packaging”Œpip”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÌruAhshEMÐhFˆubh)”}”(hŒ	r-spsutil”h#Œ0.2.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-spsutil-0.2.2-r40hc72bb7e_0.tar.bz2”h+Œ f6a1636098de8dbaac2bb3770cd36014”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-spsutil-0.2.2-r40hc72bb7e_0.tar.bz2”h0Œ@126237a1aac1c005658360d4883902b756b81c1614741a1699253474f84fc656”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-glue”Œr-httr”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÐ5ÒG;dhEJí
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setuptools”†”h9h?h@Œ
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r-circlize”Œr-jpeg”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×LW¸²Ÿ¾hEJN4< hFˆubh)”}”(hŒintake-elasticsearch”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ'intake-elasticsearch-0.2.0-py_0.tar.bz2”h+Œ ab6a05bb300163fdf6ffe13dd325f4b3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/intake-elasticsearch-0.2.0-py_0.tar.bz2”h0Œ@b48b5b63ff11550b1b860f2b23ab936041c94b6d3bdfe6197888b9a771620434”h2NhNh3(Œdask >=1.0.0”Œintake >=0.3”Œpandas”Œpython >=3.5”Œrequests”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×¼hZ=qhEMÖ*hFˆubh)”}”(hŒtorchmetrics”h#Œ0.10.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(torchmetrics-0.10.3-pyhd8ed1ab_0.tar.bz2”h+Œ 987341f4f8cb2570ca089f286cfd138e”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/torchmetrics-0.10.3-pyhd8ed1ab_0.tar.bz2”h0Œ@59cf40fda19d643dadc8a9c6fb322ea56739a75eb0aee7730d4438bc98f411d2”h2NhNh3(Œ	packaging”Œpython >=3.6”Œpytorch >=1.3.1”Œ
setuptools”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÝ}©0ÄœhEJºÔ hFˆubh)”}”(hŒlibxtst-cos7-aarch64”h#Œ1.2.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0libxtst-cos7-aarch64-1.2.3-h9b0a68f_1105.tar.bz2”h+Œ a335fae79a6f459bb24c9ed091e517de”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxtst-cos7-aarch64-1.2.3-h9b0a68f_1105.tar.bz2”h0Œ@22e59f8004e0664fcc730c0710c597ceb95b51af616562f82f7d4411ccd39cc0”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‘âÁÛ#hEMÊHhFˆubh)”}”(hŒr-metacycle”h#Œ1.2.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ'r-metacycle-1.2.0-r40hc72bb7e_2.tar.bz2”h+Œ 866891ccb831fc5aae4efe2cb99434db”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metacycle-1.2.0-r40hc72bb7e_2.tar.bz2”h0Œ@20451f3e70f23a44a88c725247701893011194fc219767cb40f18699009c7a09”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-gnm”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+Y‡hEJ/q hFˆubh)”}”(hŒr-geoaxe”h#Œ0.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-geoaxe-0.1.0-r36h6115d3f_0.tar.bz2”h+Œ 2e9d92c2f706abbd3eecedecc669eba1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-geoaxe-0.1.0-r36h6115d3f_0.tar.bz2”h0Œ@10b608cab6cab6019a9f8be226e2e5081dae2f793b24614d294d45dc32265ebe”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ
r-jsonlite”Œr-rgeos”Œr-sp”t”h9hºh@ŒMIT”hBŒMIT”hDGA×d¡—;hEJª² hFˆubh)”}”(hŒboto3”h#Œ1.24.61”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"boto3-1.24.61-pyhd8ed1ab_0.tar.bz2”h+Œ 4d79c9ebee0cd8d9242d47a7629b1af7”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/boto3-1.24.61-pyhd8ed1ab_0.tar.bz2”h0Œ@04cfcfcc5dee753203627d07432d2c5a3f4a0a81f03f59e2c3af9b759755b342”h2NhNh3(Œbotocore >=1.27.61,<1.28.0”Œjmespath >=0.7.1,<2.0.0”Œpython >=3.7”Œs3transfer >=0.6.0,<0.7.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÂŽàA‰hEJÏ hFˆubh)”}”(hŒlibidl-devel-cos7-ppc64le”h#Œ0.8.14”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ6libidl-devel-cos7-ppc64le-0.8.14-h9d98e8f_1104.tar.bz2”h+Œ 7ab901db47fb5269d8a88b4fcd07beb5”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-ppc64le-0.8.14-h9d98e8f_1104.tar.bz2”h0Œ@d75e308dbb010783a55794633cbcd2aae464124e98a072bfecd522874c944539”h2NhNh3(Œ%glib2-devel-cos7-ppc64le >=2.0 *_1104”Œ#libidl-cos7-ppc64le ==0.8.14 *_1104”Œ#pkgconfig-cos7-ppc64le >=0.8 *_1104”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É~RèA‰hEMjhFˆubh)”}”(hŒr-functional”h#Œ0.6”h%Œr42ha770c72_1003”h'Mëhhh(h)hŒ)r-functional-0.6-r42ha770c72_1003.tar.bz2”h+Œ 9930a10c6986d87cdbcedb29e8bdd412”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-functional-0.6-r42ha770c72_1003.tar.bz2”h0Œ@4516ec68331c9565965e9d4a03056aa7ca424c7fae5f0533861a5ce680e9d8e8”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ-,b~úhEMähFˆubh)”}”(hŒrdma-core-cos7-ppc64le”h#Œ22.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1rdma-core-cos7-ppc64le-22.4-h9b0a68f_1105.tar.bz2”h+Œ 420a8d7d7342d468a620991900be1284”h.Œ_https://conda.anaconda.org/conda-forge/noarch/rdma-core-cos7-ppc64le-22.4-h9b0a68f_1105.tar.bz2”h0Œ@b672b25e66c6328cbdfef2dd56d07920d87cdd59d6f5eef8786092b543bac6f8”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@‡‹2~úhEM¸hFˆubh)”}”(hŒlibibumad-cos7-ppc64le”h#Œ22.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ1libibumad-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h+Œ 6b40e6120a56627c6238974352797bd4”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-ppc64le-22.4-ha826a6f_1103.tar.bz2”h0Œ@0a8376c846e6f70eec85ec8d4da8da1d1c80c46652e7584ab82ec7be86fad7a5”h2NhNh3Œ$rdma-core-cos7-ppc64le ==22.4 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,ÑÐÄœhEMÛ|hFˆubh)”}”(hŒ	rake_nltk”h#Œ1.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$rake_nltk-1.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 8f54c6ab7481e73c459945881780a7ea”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/rake_nltk-1.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@15595663a3c199c474b4b892c09c1eaa1f539e42470f114de9d3f8c4e06bdc2a”h2NhNh3Œnltk >=3.6.2,<4.0.0”Œ	nltk_data”Œpython >=3.6,<4.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØbÈ¡;dhEM)3hFˆubh)”}”(hŒlibglvnd-cos7-aarch64”h#Œ1.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libglvnd-cos7-aarch64-1.0.1-h9d98e8f_1104.tar.bz2”h+Œ 1cd8906553f5ff68f3b87640bae38e71”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libglvnd-cos7-aarch64-1.0.1-h9d98e8f_1104.tar.bz2”h0Œ@a9932b85c81a8f59a6c14f5d2fff30d321bc77c6be2fea9772de30697c1994bf”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy¥jhEJì hFˆubh)”}”(hŒr-expsmooth”h#Œ2.3”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-expsmooth-2.3-r36h6115d3f_1002.tar.bz2”h+Œ e491853884e6c3fb2d9e549ebb30af57”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-expsmooth-2.3-r36h6115d3f_1002.tar.bz2”h0Œ@0883dec4df4d6731c4cb8b5ec12a9a5b41318a351005a31653da3b7c47e0cde2”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-forecast”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬Ž‡Ó×
hEJ…© hFˆubh)”}”(hŒgym-ignition-models”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.gym-ignition-models-1.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ ec1631edbef5723022e66e8c37254bf2”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gym-ignition-models-1.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@81a616659072b88b5906071fad191f9688de8fe3979b9e65e11ddc916b042fb0”h2NhNh3Œpython >=3.8”…”h9h?h@ŒLGPL-2.1-or-later”hDGAØ[«	 QìhEJÐ§à hFˆubh)”}”(hŒr-tabulizer”h#Œ0.2.2”h%Œr41h785f33e_2”h'Khhh(h)hŒ'r-tabulizer-0.2.2-r41h785f33e_2.tar.bz2”h+Œ 07f56964dc1232e49ce511f8814daabd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizer-0.2.2-r41h785f33e_2.tar.bz2”h0Œ@8e1aebff178d3baba246ea3edf65be89806980b05f5c385582ee0fdb72a140ed”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-png”Œr-rjava”Œr-tabulizerjars”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑýïÊáHhEJŸz hFˆubh)”}”(hŒ	nd2reader”h#Œ3.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$nd2reader-3.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 29b24be92107e6fb6265e5f85e2deada”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/nd2reader-3.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@983b2cf40cde4748560451835a11b87451026c935fb030f7c79206034ca77f39”h2NhNh3(Œnumpy >=1.6.2”Œpims >=0.3.0”Œpython >=3.6”Œ	six >=1.4”Œxmltodict >=0.9.2”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ!_Ý/hEMß‘hFˆubh)”}”(hŒgtkmm24-devel-cos7-aarch64”h#Œ2.24.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6gtkmm24-devel-cos7-aarch64-2.24.5-h9d98e8f_104.tar.bz2”h+Œ f968c371173542b9a908b1b3028c4d2a”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos7-aarch64-2.24.5-h9d98e8f_104.tar.bz2”h0Œ@753e510bc9acd5c752e1b26c6a119a42b6c97cee59b4322aeaee3511da22dd6f”h2NhNh3Œ#gtkmm24-cos7-aarch64 ==2.24.5 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éz‰«hEJA¤ hFˆubh)”}”(hŒr-genemodel”h#Œ1.1.0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-genemodel-1.1.0-r42hc72bb7e_2.tar.bz2”h+Œ 271c61db9d46f604d51e96d3b5c60e2b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-genemodel-1.1.0-r42hc72bb7e_2.tar.bz2”h0Œ@25f5f070ea1f54f8b5cd627909487d2b40d548410e30ec9c335fd7e440860fb0”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-stringr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒx&”Ý/hEJ-; hFˆubh)”}”(hŒr-chemometricswithr”h#Œ0.1.13”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ0r-chemometricswithr-0.1.13-r42hc72bb7e_3.tar.bz2”h+Œ ed75588edb278536677b82e3891d80e7”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-chemometricswithr-0.1.13-r42hc72bb7e_3.tar.bz2”h0Œ@ec481b3ccc311e10b10f41c4a61270669457a0d3cdfdb5f724a25165ad4c2f96”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-devtools”Œ	r-kohonen”Œr-mass”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÓç’ñªhEJ8p hFˆubh)”}”(hŒsciluigi”h#Œ0.9.6b7”h%Œpy_0”h'K hhh(h)hŒsciluigi-0.9.6b7-py_0.tar.bz2”h+Œ 4d50ee53797b40c433cabee66bc39107”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/sciluigi-0.9.6b7-py_0.tar.bz2”h0Œ@74031080cc07a0f7a7fb829556bc282080d1a3ff7a4b016bd078cc41dd493d32”h2NhNh3Œluigi”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hEM‡?hFˆubh)”}”(hŒdjango-recaptcha”h#Œ1.4.0”h%Œpy_1”h'Khhh(h)hŒ#django-recaptcha-1.4.0-py_1.tar.bz2”h+Œ 6d75edef7dbcb7c681d025cc5fd4fb1a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/django-recaptcha-1.4.0-py_1.tar.bz2”h0Œ@59872d07cd7d187a6c09a443ce4ac5bc7e0f8cae1a51f2c00516376e6eb064da”h2NhNh3Œdjango”Œpython”†”h9h?h@ŒBSD 3-Clause”hEM°:hFˆubh)”}”(hŒ
r-lfactors”h#Œ1.0.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-lfactors-1.0.4-r40hc72bb7e_0.tar.bz2”h+Œ 7abab001b377cd4745daf1ee047c1fce”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lfactors-1.0.4-r40hc72bb7e_0.tar.bz2”h0Œ@72dbb014f8c1f77fa97a0d82c3198c8a0d2c04ac584e55caa79fabdd1efef2a2”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×çöûø´9hEJÊ hFˆubh)”}”(hŒlibpng-devel-cos7-ppc64le”h#Œ1.5.13”h%Œha826a6f_1103”h'MOhhh(h)hŒ6libpng-devel-cos7-ppc64le-1.5.13-ha826a6f_1103.tar.bz2”h+Œ b0227eea353b879e1b67768d9ee6f891”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libpng-devel-cos7-ppc64le-1.5.13-ha826a6f_1103.tar.bz2”h0Œ@6a5b9dc1d5bd57aa0e606333762a6446c316afba949d810d7824355c7c4d188a”h2NhNh3Œ#libpng-cos7-ppc64le ==1.5.13 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@Œzlib”hBŒOther”hDGA×Æ{¹qÊÁhEJüÀ hFˆubh)”}”(hŒfastapi”h#Œ0.67.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#fastapi-0.67.0-pyhd8ed1ab_0.tar.bz2”h+Œ 46bdaab652caff04b96e44d77e8e710b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/fastapi-0.67.0-pyhd8ed1ab_0.tar.bz2”h0Œ@45b4225110f457f500e8b4d21c9096902405a65894a3ee95781a9893dde2fe83”h2NhNh3ŒCpydantic >=1.6.2,!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0”Œpython >=3.6”Œstarlette 0.14.2.*”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ>{î^5?hEMB§hFˆubh)”}”(hŒlibice-devel-cos7-ppc64le”h#Œ1.0.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libice-devel-cos7-ppc64le-1.0.9-h9b0a68f_105.tar.bz2”h+Œ 7f390b3084ae628324c17caee73bf438”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libice-devel-cos7-ppc64le-1.0.9-h9b0a68f_105.tar.bz2”h0Œ@83a85a01f4ea5d08eb4108ecb96ab2594c48051acecc262130428f596291d560”h2NhNh3Œ!libice-cos7-ppc64le ==1.0.9 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‰«Ý/hEMnhFˆubh)”}”(hŒtreedlib”h#Œ0.1.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#treedlib-0.1.3-pyh9f0ad1d_0.tar.bz2”h+Œ 468766c7066b23e82e15d32798b85c84”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/treedlib-0.1.3-pyh9f0ad1d_0.tar.bz2”h0Œ@3ce7b39ff2329656e1fa55a764fdec18e8642b019bba488fe19ae8d8f30cd36b”h2NhNh3Œlxml”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Ä_A$Ý/hEM|7hFˆubh)”}”(hŒlibpng-cos6-x86_64”h#Œ1.2.49”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libpng-cos6-x86_64-1.2.49-h9b0a68f_1105.tar.bz2”h+Œ 8fc1c9372a7f140a6571736d62cce306”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libpng-cos6-x86_64-1.2.49-h9b0a68f_1105.tar.bz2”h0Œ@2db8b54891556e66b3e89c06ad8435a712b441ff75c8fd9113a66b2ec6664feb”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@Œzlib”hBŒOther”hDGAØ@W¡ËhEJT÷ hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpyhd8ed1ab_13”h'Khhh(h)hŒ)fenics-ffc-2019.1.0-pyhd8ed1ab_13.tar.bz2”h+Œ 3c266a71c1ce57183f4e45d923129953”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-pyhd8ed1ab_13.tar.bz2”h0Œ@4647917f0c6223805e27a5cf84ee67ef4860ed5888c9f1025d5352ffaf94b32d”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×çëS×
hEJ¬ì hFˆubh)”}”(hŒ	perl-test”h#Œ1.26”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ'perl-test-1.26-pl5321hd8ed1ab_0.tar.bz2”h+Œ 11946fb70c47fa38dd202d6ebf6cec64”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/perl-test-1.26-pl5321hd8ed1ab_0.tar.bz2”h0Œ@ced265ecd48900684dc1d20a984ba23eb6421bd222b1a739b233969082dd8aa4”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-test-harness”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÈjIXhEMt\hFˆubh)”}”(hŒr-batchjobs”h#Œ1.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-batchjobs-1.9-r42hc72bb7e_1.tar.bz2”h+Œ 482c8c48c554580ebc42a3ffe5d083bc”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-batchjobs-1.9-r42hc72bb7e_1.tar.bz2”h0Œ@fa29d15f99be29e69e4acfeaa7699815e2b6638fbfa1fd743d636d68300181e1”h2NhNh3(Œr-backports >=1.1.1”Œr-base >=4.2,<4.3.0a0”Œr-bbmisc >=1.9”Œr-brew”Œr-checkmate >=1.8.0”Œr-data.table >=1.9.6”Œr-dbi”Œr-digest”Œr-rsqlite >=1.0.9011”Œr-sendmailr”Œr-stringi >=0.4_1”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØÓe9ÊÁhEJ-Ú hFˆubh)”}”(hŒr-funr”h#Œ0.3.2”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ%r-funr-0.3.2-r42hc72bb7e_1004.tar.bz2”h+Œ 91c373b7fda095385f235126a4d95779”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-funr-0.3.2-r42hc72bb7e_1004.tar.bz2”h0Œ@e9a77d56026e85de99b0a2d5630ec8b0c693468408cfcefc0aaaaa0f11c794e9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒx€“×
hEMš–hFˆubh)”}”(hŒjsonargparse”h#Œ4.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'jsonargparse-4.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 54259f2ec4ac06573d8a58f780b09970”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/jsonargparse-4.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@fdc60e7eb8445547c16f77d5e24585033d865f2628bfff84eafbf4d43c536c82”h2NhNh3(Œargcomplete >=2.0.0”Œcontextvars >=2.4”Œdataclasses >=0.8”Œdocstring_parser >=0.7.3”Œfsspec >=0.8.4”Œjsonnet >=0.13.0”Œjsonschema >=3.2.0”Œpython >=3.6”Œpyyaml >=3.13”Œrequests >=2.18.4”Œvalidators >=0.14.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¥ÚíbNhEJÆ– hFˆubh)”}”(hŒr-vam”h#Œ1.0.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-vam-1.0.0-r41hc72bb7e_1.tar.bz2”h+Œ 14880573aa1cb502da18f1d0f42ae229”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-vam-1.0.0-r41hc72bb7e_1.tar.bz2”h0Œ@6e206597dd9cda01a4bda982c1e5ee78657be68d0708679f103e27afa4de1dd2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑÌ^¢¬hEJÐÖ hFˆubh)”}”(hŒdbfread”h#Œ2.0.7”h%Œpy_0”h'K hhh(h)hŒdbfread-2.0.7-py_0.tar.bz2”h+Œ 710b599a886746c5f4211818a15f6ab6”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/dbfread-2.0.7-py_0.tar.bz2”h0Œ@52141cb0a29cb371fc37fad454043cb0d6bdc7d5aa99ea0b82139120e2a5ee1f”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÞæ”b°!hEM½@hFˆubh)”}”(hŒmaxsmi”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!maxsmi-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ af6ae2be749702e61a54c592a4d12d8f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/maxsmi-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@c62c1b556c7e77d808122253fa5cfc2f563386b3c2432dea63b5557ab9d1e995”h2NhNh3(Œdataframe_image”Œ
deepsmiles”Œjupyter”Œ
jupyterlab”Œmatplotlib-base”Œpython >=3.7”Œpytorch”Œrdkit >=2018.09.2.0”Œrequests”Œscikit-learn”Œselfies”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØzÁÊMÂhEJAChFˆubh)”}”(hŒr-psychometric”h#Œ2.3”h%Œr41h785f33e_0”h'K hhh(h)hŒ(r-psychometric-2.3-r41h785f33e_0.tar.bz2”h+Œ 7ff0a70cd8a6a9c3b5cb139463ca7da6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-psychometric-2.3-r41h785f33e_0.tar.bz2”h0Œ@fde0f1c5c69cfc82294eb7a1650cf923e8114c0ae9e77afb25524544ad88a0c2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-multilevel”Œr-nlme”Œr-purrr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÄˆz°ÔþhEJE> hFˆubh)”}”(hŒr-proto”h#Œ1.0.0”h%Œr41ha770c72_2003”h'MÓhhh(h)hŒ&r-proto-1.0.0-r41ha770c72_2003.tar.bz2”h+Œ 3a4c2eccdf5e41563a1f636de59f1a2a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-proto-1.0.0-r41ha770c72_2003.tar.bz2”h0Œ@dea882cad29e5ad080a2c9c1c9d926e1717d4abce34465508cf047f3c3929034”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ÝÔ¾ÙhEJça hFˆubh)”}”(hŒsfepy”h#Œ2019.2”h%Œpyhc1659b7_0”h'K hhh(h)hŒ!sfepy-2019.2-pyhc1659b7_0.tar.bz2”h+Œ d9c25170927622107d1e7346840d413c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/sfepy-2019.2-pyhc1659b7_0.tar.bz2”h0Œ@0505a0b051106502cbdc13df87cc5588a237675bd3bf5a06fcf78e5bba5cb27c”h2NhNh3(Œlibgcc-ng >=7.3.0”Œ
matplotlib”Œnumpy”Œ	pyparsing”Œpytables”Œpython >=2.7.15,<3.0a0”Œscipy”Œsympy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Fæ“­hEJ1á¥ hFˆubh)”}”(hŒopenfisca-france-scipy”h#Œ116.6.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ3openfisca-france-scipy-116.6.1-pyh6c4a22f_0.tar.bz2”h+Œ 47eb4c131b86a467066a374227a8759c”h.Œahttps://conda.anaconda.org/conda-forge/noarch/openfisca-france-scipy-116.6.1-pyh6c4a22f_0.tar.bz2”h0Œ@db2193301ff660160347e1d74c571b4b23afcb00417fbbb236167f21c3c71e90”h2NhNh3Œ%openfisca-france 116.6.1 pyh6c4a22f_0”Œpython”Œscipy >=0.17”‡”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØšDg;dhEMžHhFˆubh)”}”(hŒpysbd”h#Œ0.3.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ pysbd-0.3.4-pyhd8ed1ab_0.tar.bz2”h+Œ 5d357444476fc22c9195633432de39d1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pysbd-0.3.4-pyhd8ed1ab_0.tar.bz2”h0Œ@819292ef7b3f5f2a4876b1f0c8a2b1270582455125edf6cb7ac5b06064553371”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØY(²hbNhEMïÇhFˆubh)”}”(hŒ	romspline”h#Œ1.1.6”h%Œpy_0”h'K hhh(h)hŒromspline-1.1.6-py_0.tar.bz2”h+Œ 4c9b7a2043258baa8fc1c532092c456c”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/romspline-1.1.6-py_0.tar.bz2”h0Œ@9ded3494ec75002a6838e5b0d12a32a9d0f68f04415c758449b9b0f1668bab3a”h2NhNh3(Œh5py”Œnumpy”Œpathlib2”Œpython”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ŽöÐâMÓhEMKhFˆubh)”}”(hŒr-rebus”h#Œ0.1_3”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ'r-rebus-0.1_3-r351h6115d3f_1000.tar.bz2”h+Œ 14c52ec444adf666a8a5336f4452adec”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rebus-0.1_3-r351h6115d3f_1000.tar.bz2”h0Œ@e795bd6b7713502ba8bcfdb2653c14e2e4f31cdd6a825f41eab15e203fadedd6”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-rebus.base >=0.0_3”Œr-rebus.datetimes”Œr-rebus.numbers”Œr-rebus.unicode >=0.0_2”t”h9hºh@Œ	Unlimited”hBŒMIT”hDGA×¢VYXhEJÖ hFˆubh)”}”(hŒr-hiver”h#Œ0.3.63”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-hiver-0.3.63-r42hc72bb7e_1.tar.bz2”h+Œ ee3ca5a88a355bcc25222facaaa0a5d2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-hiver-0.3.63-r42hc72bb7e_1.tar.bz2”h0Œ@229c117a74f9e4b544f48ea8058e9b69619f28c44c2244f8490342f75f3af5f7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-jpeg”Œr-plyr”Œr-png”Œr-rcolorbrewer”Œr-rgl”Œr-tkrgl”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒis/;dhEJþ. hFˆubh)”}”(hŒjoblib”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!joblib-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 07d1b5c8cde14d95998fd4767e1e62d2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/joblib-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@96a80bfbb19f503d772a7475b1bedd18c9ebec417f635ab7ab0693df5a0099a0”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØWÕPªÀƒhEJ I hFˆubh)”}”(hŒcairo-cos7-x86_64”h#Œ1.15.12”h%Œha826a6f_1103”h'MOhhh(h)hŒ/cairo-cos7-x86_64-1.15.12-ha826a6f_1103.tar.bz2”h+Œ 2da8a63793d54ea97ebe5eb43852cc95”h.Œ]https://conda.anaconda.org/conda-forge/noarch/cairo-cos7-x86_64-1.15.12-ha826a6f_1103.tar.bz2”h0Œ@08b6b3d27581cf7b8f26fd8f08f2f30a766b8b00d134e1e03f1a83b2d2229813”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Æ/±8ÔþhEJŠõ hFˆubh)”}”(hŒtensorly-quantum”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+tensorly-quantum-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ ef29bae8ce3228a85a807d52e0919a9b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/tensorly-quantum-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5f724276f37a2d51987aeb04d4f61e956d971510516636052c21733b557a214f”h2NhNh3(Œnose”Œnumpy”Œ
opt-einsum”Œpython >=3.6”Œscipy”Œtensorly”Œtensorly-torch”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØpÎÈšñªhEM<fhFˆubh)”}”(hŒattrs”h#Œ18.1.0”h%Œpy_0”h'K hhh(h)hŒattrs-18.1.0-py_0.tar.bz2”h+Œ 8e65ac868d5796d157cd3389c0bd2258”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/attrs-18.1.0-py_0.tar.bz2”h0Œ@d3b172ef12c56e06290ca24ea6bc19852cb48d1036e9f89c739513f4c962cc8a”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖºÓíø1'hEMzehFˆubh)”}”(hŒ	r-timeroc”h#Œ0.4”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ#r-timeroc-0.4-r40hc72bb7e_1.tar.bz2”h+Œ 4381d53fb2b4adfd6874d7cfab7d445b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-timeroc-0.4-r40hc72bb7e_1.tar.bz2”h0Œ@d3f046f38c6ed7b794fe2b376177c8c8b0af8c69bbc9a83e8d979e6a44ca8213”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mvtnorm >=1.0_1”Œr-pec >=2.4.4”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,=šôÝ/hEJâ hFˆubh)”}”(hŒlibxscrnsaver-cos7-ppc64le”h#Œ1.2.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libxscrnsaver-cos7-ppc64le-1.2.2-h9b0a68f_1105.tar.bz2”h+Œ 6a734554b1d48c21e88a8b9420ab1ba5”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos7-ppc64le-1.2.2-h9b0a68f_1105.tar.bz2”h0Œ@37c86560fdad6f0b6fb17338dfa25c60746ff7cdb6f6cda004c8d9d07e735d98”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Š<&ÙhEMÐOhFˆubh)”}”(hŒ	geomatics”h#Œ0.12”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#geomatics-0.12-pyh9f0ad1d_0.tar.bz2”h+Œ 4df249a76683ff6e07e5bb0faf2c5b1e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/geomatics-0.12-pyh9f0ad1d_0.tar.bz2”h0Œ@d80db7a06c91da98dba5e0113f98c806222eeaee3da0241a3b52dab3100a4b3d”h2NhNh3(Œaffine”Œcfgrib”Œeccodes”Œ	geopandas”Œh5py”Œnetcdf4”Œnumpy”Œpandas”Œpillow”Œpygrib”Œpyshp”Œpython”Œpython-dateutil”Œrasterio”Œrasterstats”Œrequests”Œxarray”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ÐP—hEMYhFˆubh)”}”(hŒsphinxcontrib-httpexample”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2sphinxcontrib-httpexample-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3036062684caa58082266efda30297d7”h.Œ`https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-httpexample-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@aea161beffdb2299cbce86dce0187de984784e42c8ccdccfa5c92bb41ca9c6a1”h2NhNh3(Œ
astunparse”Œdocutils”Œ
python >=2”Œsphinx”Œsphinxcontrib-httpdomain”t”h9h?h@ŒGPL-2.0”hBŒGPL”hDGAØ‡pi7LhEM \hFˆubh)”}”(hŒr-xopen”h#Œ1.0.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ&r-xopen-1.0.0-r35h6115d3f_1002.tar.bz2”h+Œ fab751ea69e6eb336de18e6d489e9ee3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-xopen-1.0.0-r35h6115d3f_1002.tar.bz2”h0Œ@18bc36ac44429128bffc26d08b12576d0f4d4aa10e599b071dc58f26487722f5”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ
r-processx”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[ègÓt¼hEM¹ohFˆubh)”}”(hŒlibxinerama-cos7-aarch64”h#Œ1.1.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4libxinerama-cos7-aarch64-1.1.3-h9d98e8f_1104.tar.bz2”h+Œ dc81daa9a5d6369835f0869f6f2ec9fe”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-aarch64-1.1.3-h9d98e8f_1104.tar.bz2”h0Œ@3150029f4c0934aeb0c19afd99b1a2193a5dd2d0306b494fc04cdc6885142cf2”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉYë…hEM+hFˆubh)”}”(hŒr-turner”h#Œ0.1.7”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ'r-turner-0.1.7-r42hc72bb7e_1003.tar.bz2”h+Œ b2d042e191d3d9ab215311f20553d737”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-turner-0.1.7-r42hc72bb7e_1003.tar.bz2”h0Œ@40e4a67b693390890fa0f9831c6571cf5eccd62cccb7bc633342da3e0958e0ae”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-tester”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÑ?ù÷|îhEJXŸ hFˆubh)”}”(hŒcompass-interface”h#Œ0.26.0”h%Œpyha770c72_0”h'K hhh(h)hŒ-compass-interface-0.26.0-pyha770c72_0.tar.bz2”h+Œ 2295ca8f27da849a592b45a13727df07”h.Œ[https://conda.anaconda.org/conda-forge/noarch/compass-interface-0.26.0-pyha770c72_0.tar.bz2”h0Œ@260d8caae76cb1f2fe8dfff9afa34c6f641b1ee5ed2bdea38175d3eb0b3e01c3”h2NhNh3Œ*compass-interface-http 0.26.0 pyhd8ed1ab_0”Œ,compass-interface-pandas 0.26.0 pyhd8ed1ab_0”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØQºú®hEMÑhFˆubh)”}”(hŒnumactl-cos7-ppc64le”h#Œ2.0.12”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1numactl-cos7-ppc64le-2.0.12-h9b0a68f_1105.tar.bz2”h+Œ 78f660aca5856a84234031f5efa3fa0d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/numactl-cos7-ppc64le-2.0.12-h9b0a68f_1105.tar.bz2”h0Œ@4e8f2e047e3e545b61fb23039c52517b5f4851f9dd77d3fbc35eddc961d6af0f”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ@ˆè¬hEJäL hFˆubh)”}”(hŒr-arrayhelpers”h#Œ1.1_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-arrayhelpers-1.1_0-r41hc72bb7e_1.tar.bz2”h+Œ 13201aa913d8c05bb89db3a4684fb5b8”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-arrayhelpers-1.1_0-r41hc72bb7e_1.tar.bz2”h0Œ@97218b93b938591fdb37688dd5e033b2e282b8cec46628505f28b77e48890844”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-svunit”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ôÈ´hEJÜ hFˆubh)”}”(hŒr-interactions”h#Œ1.1.5”h%Œr42h785f33e_1”h'Khhh(h)hŒ*r-interactions-1.1.5-r42h785f33e_1.tar.bz2”h+Œ fec91450fb8696bc15c2dd29802625bd”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-interactions-1.1.5-r42h785f33e_1.tar.bz2”h0Œ@da965007b7218085d57ce26b3cce96ff81f48a2d7933fa434a8c53c7de725035”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cli”Œr-crayon”Œ
r-generics”Œ	r-ggplot2”Œr-jtools >=2.0.3”Œr-rlang >=0.3.0”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒa— hEJ­Ü hFˆubh)”}”(hŒr-lim”h#Œ1.4.7”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-lim-1.4.7-r42hc72bb7e_1.tar.bz2”h+Œ 5a0d9abe190ebb35cac7647ff6fc1356”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lim-1.4.7-r42hc72bb7e_1.tar.bz2”h0Œ@ce528c88049d491712130edfed6a0d587067f75f0537dae618021ad7aebde27e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-diagram”Œ
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r-ggsignif”h#Œ0.6.4”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-ggsignif-0.6.4-r42hc72bb7e_0.tar.bz2”h+Œ c6939e0dc33ebc655e7e9ec49ce051c3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggsignif-0.6.4-r42hc72bb7e_0.tar.bz2”h0Œ@97f5c2e024bb1523df53d22eff047e6afeca1bb9b38ed0682c0097ce360c223a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=2.0.0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ=¨ÔþhEJj	 hFˆubh)”}”(hŒmodulegraph2”h#Œ2.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'modulegraph2-2.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9fdbaaf4b1a6c528aed63b1beb25f5c5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/modulegraph2-2.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@678d2a30d9b1f3be481be39df82d65f1eccc4d6ebf6fb0fbab14d0c50d7536c4”h2NhNh3Œobjectgraph”Œpython >=3.6,<4”Œtyping_extensions”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÐÎ:§
=hEME{hFˆubh)”}”(hŒumami”h#Œ2.0.0”h%Œpy_0”h'K hhh(h)hŒumami-2.0.0-py_0.tar.bz2”h+Œ 4327c8b84082d62a72881d8ebfc52127”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/umami-2.0.0-py_0.tar.bz2”h0Œ@89a5b78bdf0f63e5668da7a7bc31cfa5e238fbff60edd596b16a3e8b58370e4d”h2NhNh3(Œlandlab >=2.0.1”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×®À°ëçmhEMShFˆubh)”}”(hŒr-pals”h#Œ1.7”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ r-pals-1.7-r36hc72bb7e_0.tar.bz2”h+Œ db8c3cfee645028325c6a3f6debc71a9”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-pals-1.7-r36hc72bb7e_0.tar.bz2”h0Œ@e2c2fcde7bef0b8b2ea4a99befddcb799fd34f01f148ae67ef22e62c37033070”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-colorspace”Œr-dichromat”Œ	r-mapproj”Œr-maps”Œr-rgl”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØŸ®'+hEJ]
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r-markdown”Œr-shiny”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×q³õffhEJ»­ hFˆubh)”}”(hŒr-gpseq”h#Œ0.5”h%Œr35_1001”h'Méhhh(h)hŒr-gpseq-0.5-r35_1001.tar.bz2”h+Œ 550289d1a113a76645d5b26923402475”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-gpseq-0.5-r35_1001.tar.bz2”h0Œ@8c9ad030bc09f951bc7a00bea297b7a6586855896e0dc3ba7ab4724104118bc8”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×MeñhshEJò~ hFˆubh)”}”(hŒr-assertive.data.uk”h#Œ0.0_2”h%Œr40h6115d3f_2”h'Khhh(h)hŒ/r-assertive.data.uk-0.0_2-r40h6115d3f_2.tar.bz2”h+Œ 493b7b6cd37c3ed41e0695c74073e7c2”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.data.uk-0.0_2-r40h6115d3f_2.tar.bz2”h0Œ@43536ee4d9aa35977e8afb55d59eb57d46321fa3b871aac73fd2edbf115632cf”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=4.0,<4.1.0a0”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×«þ •ó¶hEM ÔhFˆubh)”}”(hŒansiwrap”h#Œ0.8.4”h%Œpy_0”h'K hhh(h)hŒansiwrap-0.8.4-py_0.tar.bz2”h+Œ f09557e2a7cbd2470a2ab6353000cebd”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/ansiwrap-0.8.4-py_0.tar.bz2”h0Œ@34e2445a78857c7418ab738b3a3c88f3226923676c3c185688dd570a6f9129a4”h2NhNh3Œpython”Œ	textwrap3”†”h9h?h@Œ
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setuptools”Œsqlalchemy >=1.3”Œthrift 0.15.*”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ‡ß…õÃhEMiøhFˆubh)”}”(hŒr-btyd”h#Œ2.4.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-btyd-2.4.3-r42hc72bb7e_1.tar.bz2”h+Œ 79be9a891eb9fb7d217e0bfc25edfb7f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-btyd-2.4.3-r42hc72bb7e_1.tar.bz2”h0Œ@baaa184f6b2ea4686794aa6252fea8e16f9f2517bf8b61252a80c460a5703d51”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œ
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GPL (>= 3)”hBŒGPL3”hDGAØPàZ¥ÂhEJƒ hFˆubh)”}”(hŒ	r-grobblr”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-grobblr-0.2.1-r41hc72bb7e_0.tar.bz2”h+Œ cd486a3eda95bc6d351cb4e0a7a51811”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-grobblr-0.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@7a702aba4b0907daf954425e0225c8182e57aef5c0f75cd78086a5bdf98b8838”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-glue”Œr-gridextra”Œ
r-magrittr”Œr-png”Œr-purrr”Œr-rcurl”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØP?J§ß;hEJG¸ hFˆubh)”}”(hŒr-shadowtext”h#Œ0.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-shadowtext-0.1.2-r41hc72bb7e_1.tar.bz2”h+Œ aa9c5de03846abb5d5f1dadbc0714d7d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shadowtext-0.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@c45c097afc975bc4376716cbc1088d048608631c05e1b3cdab9b3b33711c4e45”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-scales”‡”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØÒ}?}hEJgÔ hFˆubh)”}”(hŒr-ids”h#Œ1.0.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ!r-ids-1.0.1-r41hc72bb7e_2.tar.bz2”h+Œ 511ccde9fe0cc39d3913f4013e42e5bf”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ids-1.0.1-r41hc72bb7e_2.tar.bz2”h0Œ@b3dc0004a5ee4a496e284611413cb460bdccf3d50b93b0b2a361ad2a6133b752”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-openssl”Œr-uuid”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐáûn—hEJmü hFˆubh)”}”(hŒisoduration”h#Œ20.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4cb68948e0b8429534380243d063a27a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7bb5c4d994361022f47a807b5e7d101b3dce16f7dd8a0af6ffad9f479d346493”h2NhNh3Œarrow >=0.15.0”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØk’jhEM%ChFˆubh)”}”(hŒpandas-summary”h#Œ0.0.41”h%Œpy_1”h'Khhh(h)hŒ"pandas-summary-0.0.41-py_1.tar.bz2”h+Œ dbfa4b5b52f1bfcdaab91e5e50b2ea77”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pandas-summary-0.0.41-py_1.tar.bz2”h0Œ@f65b965d9e05b291e3b8ae6075e1c3d82e16d32256eb6a531408f336e50959d1”h2NhNh3Œnumpy”Œpandas”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖÑ
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r-cpgassoc”h#Œ2.60”h%Œr40h6115d3f_0”h'K hhh(h)hŒ%r-cpgassoc-2.60-r40h6115d3f_0.tar.bz2”h+Œ b3cd2de842995c3d57d371d94311b535”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-cpgassoc-2.60-r40h6115d3f_0.tar.bz2”h0Œ@6933ebd2155e53a06a8f066added92f6bdd61b3b632f8ce291330fe942460445”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-nlme”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×µÈ“$jhEJë3 hFˆubh)”}”(hŒr-elasticnet”h#Œ1.3”h%Œr40h6115d3f_0”h'K hhh(h)hŒ&r-elasticnet-1.3-r40h6115d3f_0.tar.bz2”h+Œ a847999f38101588a51d648b796f3ea3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elasticnet-1.3-r40h6115d3f_0.tar.bz2”h0Œ@3d860b8ac31554eb62ad9942ff9dc1ecf1a187fdc0d40fbf76037f56769fb648”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lars”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¯µfž¸RhEJëÐ hFˆubh)”}”(hŒpciutils-libs-cos7-ppc64le”h#Œ3.5.1”h%Œha826a6f_103”h'Kghhh(h)hŒ5pciutils-libs-cos7-ppc64le-3.5.1-ha826a6f_103.tar.bz2”h+Œ 9858070c82cbe4234123b850647b6c5f”h.Œchttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos7-ppc64le-3.5.1-ha826a6f_103.tar.bz2”h0Œ@7d38b81ec8a59da833fcb4d2c3a73e713bb5015928beff9d350ab98775a9fc91”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æzû…OßhEM›hFˆubh)”}”(hŒr-chorddiag”h#Œ0.1.3”h%Œr41ha770c72_1”h'Khhh(h)hŒ'r-chorddiag-0.1.3-r41ha770c72_1.tar.bz2”h+Œ 09e9eb66ffaa27d5a9d70978f5080fe8”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-chorddiag-0.1.3-r41ha770c72_1.tar.bz2”h0Œ@8585a2ed7f2c8516f2ae6d593abf9b3935dc62df8b3dce96d0415da87f01ff8d”h2NhNh3(Œopenjdk”Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets”Œr-rcolorbrewer”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+-MŸ|îhEJyØ hFˆubh)”}”(hŒtyper”h#Œ0.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ typer-0.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 2a8bd95028ef27c7940c6c790b600e7e”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/typer-0.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@b059df85f6aa2fb708da4466d1103733d4f3a18a99200c669a4c06cc359cc70e”h2NhNh3(Œclick >=7.1.1,<7.2.0”Œcolorama >=0.4.3,<0.5.0”Œpython >=3.6”Œshellingham >=1.3.0,<2.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ý/1hEMEZhFˆubh)”}”(hŒr-enrichwith”h#Œ0.3.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ(r-enrichwith-0.3.1-r42hc72bb7e_2.tar.bz2”h+Œ 24b9dfef7bdc476681c5efe51e4419b6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-enrichwith-0.3.1-r42hc72bb7e_2.tar.bz2”h0Œ@b14f78008cfa97cbf6963c22d20065db370498cc9e416b4dbac0624349a63379”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÑ¸©%hEJ½À hFˆubh)”}”(hŒjinxed”h#Œ1.2.0”h%Œpyhe4f9e05_0”h'K hhh(h)hŒ!jinxed-1.2.0-pyhe4f9e05_0.tar.bz2”h+Œ 78e1aa53e45c841648e80bc3ff16a081”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/jinxed-1.2.0-pyhe4f9e05_0.tar.bz2”h0Œ@13ee561d088ad4bcd869ff14c801a920f25bdc8c7bdfd23d537a797763d12d7d”h2NhNh3Œ__unix”Œpython >=3.8”†”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAØÕfEfÈ´hEMƒhFˆubh)”}”(hŒr-deming”h#Œ1.4”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-deming-1.4-r36h6115d3f_0.tar.bz2”h+Œ f2b4119a488b17165c4a82fb1b29dcaa”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-deming-1.4-r36h6115d3f_0.tar.bz2”h0Œ@2ff7f484f70cba9ff0220df13778d6d153a7c11215f70ec86f9c429a04044015”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-boot”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Ü&VhEJF’ hFˆubh)”}”(hŒhypothesize”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&hypothesize-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ d078ba0563c2a88ff1f95a32bbac47e9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/hypothesize-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@8fd86d17ac21233a418dc165092ffbaabe1c712324904cc8926c77ef34f0557a”h2NhNh3(Œmore-itertools 8.12.0”Œnumpy 1.21.5”Œpandas 1.4.2”Œpython >=3.6”Œscipy 1.7.3”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ´úñªhEMœ…hFˆubh)”}”(hŒlibxrandr-devel-cos7-aarch64”h#Œ1.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ8libxrandr-devel-cos7-aarch64-1.5.1-h9d98e8f_1104.tar.bz2”h+Œ 05465dd38ada2de780d434191b7cbd74”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos7-aarch64-1.5.1-h9d98e8f_1104.tar.bz2”h0Œ@0e58d49fcfaa09bdf33bdbf0677e7b27f71c85a5ec65788a157b36e15f892643”h2NhNh3Œ%libxrandr-cos7-aarch64 ==1.5.1 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É€t»Æ¨hEMé<hFˆubh)”}”(hŒr-eikosograms”h#Œ0.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-eikosograms-0.1.1-r40hc72bb7e_0.tar.bz2”h+Œ 8dbd21ae2a9225f4b64404ff99de4423”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-eikosograms-0.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@5035abf08b7633188cdb392c8c34bdb28906796111f582f34500f7ebc708f1e9”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-plyr”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÂ…çXõÃhEJ" hFˆubh)”}”(hŒfrozen-flask”h#Œ0.15”h%Œpy_1”h'Khhh(h)hŒfrozen-flask-0.15-py_1.tar.bz2”h+Œ 4da7bf6329a9ef61e019e5cf4c95bb97”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/frozen-flask-0.15-py_1.tar.bz2”h0Œ@b1b5c2027cce1b5a82b5ba84eb4047429dc9a7e78ca73ab032d26a857e4a163c”h2NhNh3Œflask >=0.7”Œpython”†”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖÑ¾8¤¬hEM–JhFˆubh)”}”(hŒ	r-pmdplyr”h#Œ0.3.3”h%Œr40h6115d3f_0”h'K hhh(h)hŒ%r-pmdplyr-0.3.3-r40h6115d3f_0.tar.bz2”h+Œ 8d2069c9536bedb99220816c34e1bbb0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pmdplyr-0.3.3-r40h6115d3f_0.tar.bz2”h0Œ@0e51b361d0b1bd211adb2ca95d78da56a06ae87d33c349644d45f0d6b15b7855”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.7.0”Œr-lubridate”Œ
r-magrittr”Œr-pillar”Œr-rlang >=0.4.0”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGA×´†s»C–hEJ	¸ hFˆubh)”}”(hŒnss-softokn-cos7-x86_64”h#Œ3.44.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4nss-softokn-cos7-x86_64-3.44.0-h9b0a68f_1105.tar.bz2”h+Œ e70c9252672ba33d4a19756d6da6e713”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-x86_64-3.44.0-h9b0a68f_1105.tar.bz2”h0Œ@71d45cf4c8fb26946bd7ef162c7b49b843bda5e997389828a35451386602a50e”h2NhNh3(Œ nspr-cos7-x86_64 >=4.21.0 *_1105”Œ.nss-softokn-freebl-cos7-x86_64 >=3.44.0 *_1105”Œ$nss-util-cos7-x86_64 >=3.44.0 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@pØÙ%hEJ‰/ hFˆubh)”}”(hŒtypes-flask”h#Œ1.1.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&types-flask-1.1.6-pyhd8ed1ab_0.tar.bz2”h+Œ 80b7daff50dc4b163f2cd50e156b23a9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/types-flask-1.1.6-pyhd8ed1ab_0.tar.bz2”h0Œ@5af4f8747229b7b6c5ba1a6aba77570de90e47c1e673040c6484cdcd63e51154”h2NhNh3(Œpython >=3.6”Œtypes-click”Œtypes-jinja2”Œtypes-werkzeug”t”h9h?h@ŒApache-2.0 AND MIT”hDGAØh* JñªhEMaJhFˆubh)”}”(hŒapphb”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ apphb-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 80a5684d4a00c8fc5691c4b64c27e09f”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/apphb-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@01fc0a9d826e062f1f337d796b376fe6c83daf913d8a6e1b5c83f2f55b1f9214”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ öë.—hEM:hFˆubh)”}”(hŒr-ecume”h#Œ0.9.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-ecume-0.9.1-r41hc72bb7e_1.tar.bz2”h+Œ c277eb4c7a58921b3f273bc832082a17”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-ecume-0.9.1-r41hc72bb7e_1.tar.bz2”h0Œ@ad7aad9246ab103a56ca0201d0f2b02b8ed596976c57183d695df56116a5eda3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-caret”Œr-dplyr”Œr-e1071”Œ	r-kernlab”Œ
r-magrittr”Œ	r-pbapply”Œr-spatstat >=2.0_0”Œr-spatstat.geom”Œr-transport”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓ,   hEJäh hFˆubh)”}”(hŒ	r-sciplot”h#Œ1.2_0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ%r-sciplot-1.2_0-r36h6115d3f_0.tar.bz2”h+Œ a5e0d5d05d9c60dcc066e0f3fbdc4445”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sciplot-1.2_0-r36h6115d3f_0.tar.bz2”h0Œ@9d1a79af15a4c75f4586522538c948630addf66bc2e491086382182643a38fce”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×–R¦3×
hEMŒÇhFˆubh)”}”(hŒ&dtool_lookup_server_plugin_scaffolding”h#Œ0.1.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒAdtool_lookup_server_plugin_scaffolding-0.1.4-pyhd8ed1ab_1.tar.bz2”h+Œ a9c69c85a237313b20947c9bf822071c”h.Œohttps://conda.anaconda.org/conda-forge/noarch/dtool_lookup_server_plugin_scaffolding-0.1.4-pyhd8ed1ab_1.tar.bz2”h0Œ@4d978bcb037d5b3296b2ed5b666b3bd47f291ec746734c5b8add47740da1b473”h2NhNh3Œdtool_lookup_server >=0.17.2”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØM–I>ffhEM¤hFˆubh)”}”(hŒr-reportroc”h#Œ3.6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-reportroc-3.6-r42hc72bb7e_1.tar.bz2”h+Œ 5e5a0a4099a1a3d82bc7cb95aa98582c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reportroc-3.6-r42hc72bb7e_1.tar.bz2”h0Œ@d06c4022c84a2b68fe3e28e924991a62f3f6b8ff7a3c3eb72dcba99b497f781a”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-proc”Œr-vcd”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒORñªhEMÈ¸hFˆubh)”}”(hŒr-downscaler.keras”h#Œ1.0.0”h%Œr36ha770c72_1”h'Khhh(h)hŒ.r-downscaler.keras-1.0.0-r36ha770c72_1.tar.bz2”h+Œ 63a9ff8d84a9e2245089354ff48bb2df”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-downscaler.keras-1.0.0-r36ha770c72_1.tar.bz2”h0Œ@d9adf4a45c6127eb20ec09f2fe51247fe32694357ed1e2c0faf0fe5c3101e516”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-downscaler >=3.3.2”Œr-keras >=2.2.2”Œ
r-magrittr”Œr-mass”Œr-tensorflow >=2.0.0”Œr-transformer >=2.1.0”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¢N’JhEJy hFˆubh)”}”(hŒr-plsgenomics”h#Œ1.5_2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-plsgenomics-1.5_2-r40h6115d3f_1.tar.bz2”h+Œ 852c928eadab670a05adf9408831598a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plsgenomics-1.5_2-r40h6115d3f_1.tar.bz2”h0Œ@f0205f42de2631889ada95c6eb41568d0f9bea7e49032ae0c08309c54d271100”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-fields”Œr-mass”Œr-plyr”Œ
r-reshape2”Œr-rhpcblasctl”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬—³4jhEJTÃ hFˆubh)”}”(hŒr-clustofvar”h#Œ1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-clustofvar-1.1-r40hc72bb7e_0.tar.bz2”h+Œ 7bfac1a3f99028e0ef1e0f507de634f8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-clustofvar-1.1-r40hc72bb7e_0.tar.bz2”h0Œ@c56b61caa3b0cb585aa1816243e68df0e50324126b434ad74d427e22182a73d3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-pcamixdata”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×êNïŸl‹hEJ’ß hFˆubh)”}”(hŒchkconfig-cos6-x86_64”h#Œ1.3.49.5”h%Œh1795305_101”h'Kehhh(h)hŒ3chkconfig-cos6-x86_64-1.3.49.5-h1795305_101.tar.bz2”h+Œ c890b8be806bae0afd6921dcb28955b9”h.Œahttps://conda.anaconda.org/conda-forge/noarch/chkconfig-cos6-x86_64-1.3.49.5-h1795305_101.tar.bz2”h0Œ@fdd58a0b25a1c285d25380b416895c40b475a04a8cacd39f6a293afbe57f4e3a”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ÄÇthshEJ<D hFˆubh)”}”(hŒnss-util-cos7-ppc64le”h#Œ3.44.0”h%Œha826a6f_103”h'Kghhh(h)hŒ1nss-util-cos7-ppc64le-3.44.0-ha826a6f_103.tar.bz2”h+Œ 40f938f8918f175b2ed9fff85adcd219”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-ppc64le-3.44.0-ha826a6f_103.tar.bz2”h0Œ@69323298156b09796cdfa18027931d4e5bfda44161115c67c85b077dac3e3f69”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ0Bž¸RhEJrc hFˆubh)”}”(hŒlibx11-devel-cos6-x86_64”h#Œ1.6.4”h%Œha826a6f_103”h'Kghhh(h)hŒ3libx11-devel-cos6-x86_64-1.6.4-ha826a6f_103.tar.bz2”h+Œ e00be674ba3428bc6c9bfb0115174b4d”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos6-x86_64-1.6.4-ha826a6f_103.tar.bz2”h0Œ@aa7bc225781dbb08d9cd0d8fab01e515739969c1e6e82c9cb78c3f121631cf60”h2NhNh3Œ libx11-cos6-x86_64 ==1.6.4 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1rÅ‘hhEJŠQ hFˆubh)”}”(hŒbetse”h#Œ1.1.1”h%Œpy_1”h'Khhh(h)hŒbetse-1.1.1-py_1.tar.bz2”h+Œ e39eebb378fd1bca86350d3b406a101d”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/betse-1.1.1-py_1.tar.bz2”h0Œ@c5a5751333681854444ddbab4b8752fc11c8a01b1a4ebb3a954fd9ad3467a470”h2NhNh3(Œdill >=0.2.3”Œdistro >=1.0.4”Œffmpeg”Œgraphviz >=2.38.0”Œmatplotlib-base >=1.5.0”Œnetworkx >=2.0”Œnumpy >=1.13.0”Œpillow >=2.3.0”Œpydot >=1.0.28”Œpyside2”Œpython >=3.5”Œruamel.yaml >=0.15.24”Œscipy >=0.12.0”Œsetuptools >=38.2.0”Œsix >=1.5.2”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×“3Ást¼hEJÍö hFˆubh)”}”(hŒr-clipr”h#Œ0.8.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-clipr-0.8.0-r41hc72bb7e_0.tar.bz2”h+Œ f69ab5f64faf5db5ed65ba159363c0c1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-clipr-0.8.0-r41hc72bb7e_0.tar.bz2”h0Œ@d6e2b407b9b346f3039a9146dfb4750a5cc49cc39c27a3ca33aa4e88e7f917cc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ…
@£×hEJq hFˆubh)”}”(hŒmf2”h#Œ2022.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!mf2-2022.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6f73957d8dcc01790fc33d795528632a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/mf2-2022.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a814499b0ee7c8ad2fe3b6cb6a39d330016468ee4ddf06b1f3b0ecbe05479f57”h2NhNh3Œnumpy”Œpython >=3.6”Œ
setuptools”‡”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¨@ÏÊ\hEMóhFˆubh)”}”(hŒr-diffusionmap”h#Œ1.2.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ*r-diffusionmap-1.2.0-r36h6115d3f_0.tar.bz2”h+Œ 462e0f594200694c8e7792ea466dbdd7”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-diffusionmap-1.2.0-r36h6115d3f_0.tar.bz2”h0Œ@13a1754e6c66a0cfa30f4fe3f482bf3b6b7c03ba2d2a74eeaa48b1ca11e4b6f3”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-igraph”Œr-matrix”Œr-scatterplot3d”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×^'D“hEJ2~ hFˆubh)”}”(hŒaioredis”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#aioredis-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ b6c127b17d286bc5fc4ce54be320d046”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/aioredis-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@28ca718ee0f082168ce2d7bec7d44367b7e5a951e76c54e1b2d33f241e1eaa46”h2NhNh3Œasync-timeout”Œpython >=3.6”Œtyping-extensions”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØr•å¡%hEM7îhFˆubh)”}”(hŒtypes-routes”h#Œ2.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'types-routes-2.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ d7266d710d247568ff91002e0902a451”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/types-routes-2.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7a0d9bb7fa5168afe6caeb1d36216cf43371d4c17a8c7bedc3cab2648bf3a54c”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØJrÔ7+hEMØ-hFˆubh)”}”(hŒlibxinerama-cos6-x86_64”h#Œ1.1.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libxinerama-cos6-x86_64-1.1.3-h9b0a68f_105.tar.bz2”h+Œ 097ab54bc92d1fa84a3059cfc2b32c26”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxinerama-cos6-x86_64-1.1.3-h9b0a68f_105.tar.bz2”h0Œ@ebb0965a79fe1ebdd0d9d0d97765ca9cb3ba3e7817163511bdfb227d36273ed9”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Z å`hEM×%hFˆubh)”}”(hŒ
r-labeling”h#Œ0.4.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-labeling-0.4.2-r41hc72bb7e_2.tar.bz2”h+Œ 83807ad3d6daa0c5e88ad3f4e8df4758”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r41hc72bb7e_2.tar.bz2”h0Œ@0e68851a87aece39fe9cf6bc1bd659bf05b6eae1f1dd7e123b6645e0b459c0f1”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ.€ÔþhEJ‰ hFˆubh)”}”(hŒ
pytest-vcr”h#Œ1.0.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%pytest-vcr-1.0.2-pyh9f0ad1d_0.tar.bz2”h+Œ b706d4e0e219f84d50b0a659e08c0096”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pytest-vcr-1.0.2-pyh9f0ad1d_0.tar.bz2”h0Œ@4461339652dd4a6cedcd8c4cb3f369efd162d896c8907f2ed3ec83271b5b8a9c”h2NhNh3Œpytest >=3.6.0”Œpython”Œvcrpy”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×Þ{‹çmhEMÙhFˆubh)”}”(hŒrfc3987”h#Œ1.3.8”h%Œpy_0”h'K hhh(h)hŒrfc3987-1.3.8-py_0.tar.bz2”h+Œ 20e7b2ee8ae949f645dd4bc0d8db42f7”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/rfc3987-1.3.8-py_0.tar.bz2”h0Œ@06c631116c0298154ae693f51f1777b841e6c13f70351215824b2028b91f98d2”h2NhNh3Œpython”…”h9h?h@ŒGNU GPL3”hBŒGPL3”hDGA×?Ë33hEM,bhFˆubh)”}”(hŒwdl-packager”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒwdl-packager-1.0.0-py_0.tar.bz2”h+Œ 2ac11b79ed50fe610d5ab7c01bb82e22”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/wdl-packager-1.0.0-py_0.tar.bz2”h0Œ@1439dce1fba96e3b5df2dbac33a86862512382063475012910a1e6b035af0708”h2NhNh3Œminiwdl”Œpython >=3.6”Œ
setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGA× klF{hEMù,hFˆubh)”}”(hŒcairo-cos7-ppc64le”h#Œ1.15.12”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/cairo-cos7-ppc64le-1.15.12-h9b0a68f_105.tar.bz2”h+Œ 79bc89ff107a3f3a272712c5e672b952”h.Œ]https://conda.anaconda.org/conda-forge/noarch/cairo-cos7-ppc64le-1.15.12-h9b0a68f_105.tar.bz2”h0Œ@0fe4cc430a9ae6deda924e0f105928a204ec6deb008af08818b1bd9fdfa81cbb”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGAØ@ˆ|€bNhEJ…ª hFˆubh)”}”(hŒlibxcursor-cos6-x86_64”h#Œ1.1.14”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libxcursor-cos6-x86_64-1.1.14-h9d98e8f_104.tar.bz2”h+Œ 71001b826bf104446af7b63c65eec6e9”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxcursor-cos6-x86_64-1.1.14-h9d98e8f_104.tar.bz2”h0Œ@21dced10b54f77631524d268cf1a45a575a900b1536f3349d5f2f4e36a5929d1”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_104”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|OÚMÓhEMÈbhFˆubh)”}”(hŒr-yardstick”h#Œ0.0.1”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ+r-yardstick-0.0.1-r351h6115d3f_1000.tar.bz2”h+Œ f38a1ac55b3de8621ce1a48caeafd5c5”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-yardstick-0.0.1-r351h6115d3f_1000.tar.bz2”h0Œ@d4ce2fce4fb539b0ffb74cf373c39194253cce254c7fd65f814330c0e346a5d4”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-broom”Œr-dplyr”Œr-mlmetrics”Œr-proc”Œr-rlang”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖý$¼shEJð« hFˆubh)”}”(hŒlibsepol-cos7-ppc64le”h#Œ2.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ/libsepol-cos7-ppc64le-2.5-ha826a6f_1103.tar.bz2”h+Œ cc54347dca81e288bdeae4a5f98fbd03”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-ppc64le-2.5-ha826a6f_1103.tar.bz2”h0Œ@a8f2da8f214d88140759e09f70c561b8af324c446d4519928f611d0682d87932”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ0Y¤¬hEJ­š hFˆubh)”}”(hŒr-reactablefmtr”h#Œ2.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-reactablefmtr-2.0.0-r41hc72bb7e_0.tar.bz2”h+Œ ec5cd7c14e488e4c613725099c27fd6a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-reactablefmtr-2.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@2fe8832d527405cfd49d3ce40de48bcf83959014e6b912b7bb5bd75e581235ef”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-htmltools”Œr-htmlwidgets >=1.5.3”Œ
r-magrittr”Œr-purrr”Œr-reactable >=0.2.0”Œr-sass >=0.4.0”Œr-shiny”Œr-stringr >=1.4.0”Œr-tippy >=0.1.0”Œ	r-webshot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØŒrñ~ÙhEJ«P hFˆubh)”}”(hŒchitra”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!chitra-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 06558b7a58142d166338e123e9b1057c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/chitra-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6b7b25931370f2e0fb0e4a9b26189a9479562fe257607a7edb0d003cb5a49f75”h2NhNh3(Œimgaug >=0.4.0”Œmatplotlib-base”Œpillow”Œpython >=3.7”Œ	typeguard”Œtyper”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØx
>SÆ¨hEMŽˆhFˆubh)”}”(hŒr-corrr”h#Œ0.4.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-corrr-0.4.4-r42hc72bb7e_1.tar.bz2”h+Œ 6df44e35faff12f59db53bab80222fe4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-corrr-0.4.4-r42hc72bb7e_1.tar.bz2”h0Œ@628a299538ce54bfd0b25fa97fd158ca791c3ca64164974dca434910fb8f8fe8”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr >=0.8.0”Œr-ggplot2 >=2.2.0”Œr-ggrepel >=0.6.5”Œr-lazyeval >=0.2.0”Œr-magrittr >=1.5”Œr-purrr >=0.2.2”Œr-rlang >=0.2.0”Œr-seriation >=1.2_0”Œr-tibble >=2.0”Œr-tidyr >=0.5.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ“}|jhEJÞ» hFˆubh)”}”(hŒr-modeltools”h#Œ0.2_23”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-modeltools-0.2_23-r40hc72bb7e_1.tar.bz2”h+Œ bf5f53b7f79c010e8f3bf1bbef78f434”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-modeltools-0.2_23-r40hc72bb7e_1.tar.bz2”h0Œ@04961964a48a9870ad365b1cf8541fc1db03fc4a631f3596c4e77bbb1a407bd4”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*Ù5„9XhEJû± hFˆubh)”}”(hŒaiida-wannier90.code”h#Œ2.0.1”h%Œ
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wrf-python”t”h9hºh@ŒBSD 3-Clause”hBŒBSD”hDGA× Ó'	xÕhEMI1hFˆubh)”}”(hŒ
r-devtools”h#Œ2.4.5”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-devtools-2.4.5-r41hc72bb7e_0.tar.bz2”h+Œ 2e56ee78051c83eeecb693af5919d424”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-devtools-2.4.5-r41hc72bb7e_0.tar.bz2”h0Œ@0b4f13ba1691fb5bfad8b3555f7adf4f7db32c090cfbbe3e1780940c132a61c4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli >=3.3.0”Œr-desc >=1.4.1”Œr-ellipsis >=0.3.2”Œr-fs >=1.5.2”Œr-lifecycle >=1.0.1”Œr-memoise >=2.0.1”Œr-miniui >=0.1.1.1”Œr-pkgbuild >=1.3.1”Œr-pkgdown >=2.0.6”Œr-pkgload >=1.3.0”Œr-profvis >=0.3.7”Œr-rcmdcheck >=1.4.0”Œr-remotes >=2.4.2”Œr-rlang >=1.0.4”Œr-roxygen2 >=7.2.1”Œr-rversions >=2.1.1”Œr-sessioninfo >=1.2.2”Œr-testthat >=3.1.4”Œr-urlchecker >=1.0.1”Œr-usethis >=2.1.6”Œr-withr >=2.5.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑxàõÃhEJ” hFˆubh)”}”(hŒr-manipulate”h#Œ1.0.1”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ+r-manipulate-1.0.1-r40hc72bb7e_1003.tar.bz2”h+Œ 4e0543520c492ff225e21756e4dd2e1d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-manipulate-1.0.1-r40hc72bb7e_1003.tar.bz2”h0Œ@44d3d43c4d5f00c0527b0d8ed043508cfb8978e0fc17c1edaf3b1f7471b7150c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+"ÄO+hEMûàhFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-ppc64le”h#Œ2018.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ>xorg-x11-proto-devel-cos7-ppc64le-2018.4-ha826a6f_1103.tar.bz2”h+Œ cd1e96820a8f3f9ca930cbe4a42330ee”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-ppc64le-2018.4-ha826a6f_1103.tar.bz2”h0Œ@038fe4fc60e91efebdca030f70545dc4ee361462c55267abf3dc38bb63293f81”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0ºâÀƒhEJìS hFˆubh)”}”(hŒr-atsa”h#Œ3.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-atsa-3.1.2-r42hc72bb7e_1.tar.bz2”h+Œ 3ba5afa160e0a95dc643abf5f67b271d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-atsa-3.1.2-r42hc72bb7e_1.tar.bz2”h0Œ@d792b834c36274d207b63ed96f12bf98cbfaf7f6789833f17a2f3ab22aa596ae”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ©¨iÊÁhEJL* hFˆubh)”}”(hŒdocx2txt”h#Œ0.8”h%Œpy_0”h'K hhh(h)hŒdocx2txt-0.8-py_0.tar.bz2”h+Œ 16a20974c156f752d4a2de2065e7d036”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/docx2txt-0.8-py_0.tar.bz2”h0Œ@f2224e83042cad0369b0d9d859241f8f693e878bfa926b067143098761a82bad”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×QÔ(‹SøhEM»hFˆubh)”}”(hŒr-ztable”h#Œ0.2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-ztable-0.2.3-r41hc72bb7e_1.tar.bz2”h+Œ ef17454f6a8cd8cae3a54356bda28941”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ztable-0.2.3-r41hc72bb7e_1.tar.bz2”h0Œ@f0dae93667d06dfceca75633e870a6c7ab8994204c3a71d357bf49373be931bf”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-flextable”Œ
r-magrittr”Œ	r-officer”Œr-rcolorbrewer”Œr-rstudioapi”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ?njn˜hEJì hFˆubh)”}”(hŒr-inline”h#Œ0.3.19”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-inline-0.3.19-r42hc72bb7e_1.tar.bz2”h+Œ e06be05c4c4f74ec4bf04e0d8d2af6f8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-inline-0.3.19-r42hc72bb7e_1.tar.bz2”h0Œ@09835c2b56a139da3b815ecf54ff492f728b94a42ffc43c211ef9bf44ab2267e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØÐwè€õÃhEJGF hFˆubh)”}”(hŒazure-mgmt-dns”h#Œ3.0.0”h%Œpy_0”h'K hhh(h)hŒ!azure-mgmt-dns-3.0.0-py_0.tar.bz2”h+Œ 056dc10e7f3a71e12dc7908a94e6a491”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/azure-mgmt-dns-3.0.0-py_0.tar.bz2”h0Œ@b02ca07155279f134ced81e5e32792bbadce52380eea2e87143ecf118fd8242e”h2NhNh3(Œazure-common >=1.1,<2.0”Œmsrest >=0.5.0”Œmsrestazure >=0.4.32,<2.0.0”Œpython >3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯Z*\)hEMSrhFˆubh)”}”(hŒr-leaflet.extras”h#Œ1.0.0”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ/r-leaflet.extras-1.0.0-r40hc72bb7e_1004.tar.bz2”h+Œ 335f8a2654825021828e41351237ac01”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-leaflet.extras-1.0.0-r40hc72bb7e_1004.tar.bz2”h0Œ@73be88f5d5751256c0fd0fa1589cdcd7a7687bc2466ec521d7783c14e889305b”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-htmlwidgets”Œr-leaflet >=2.0.0”Œ
r-magrittr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+ÿàV¸RhEJÀ
 hFˆubh)”}”(hŒr-prroc”h#Œ1.3.1”h%Œr35_1001”h'Méhhh(h)hŒr-prroc-1.3.1-r35_1001.tar.bz2”h+Œ 71b71704990ad6aa98732f5f1a43fbfa”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-prroc-1.3.1-r35_1001.tar.bz2”h0Œ@b55af83480c858f385e6d3beed696df3ff744af9e30c3f1750aa6b82215f08a8”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÀ\æ{hEJë hFˆubh)”}”(hŒrb-i18n”h#Œ0.9.5”h%Œ
hc42de5b_1”h'Khhh(h)hŒ rb-i18n-0.9.5-hc42de5b_1.tar.bz2”h+Œ 56c2cfa90487e6a6b1b8ca570a8d6606”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/rb-i18n-0.9.5-hc42de5b_1.tar.bz2”h0Œ@a8131ccf1109ed1969db1b2846b1bb12d2d66890db45a847e5555cdf96c2c7b9”h2NhNh3Œrb-concurrent-ruby >=1.0,<2”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×[*¢·l‹hEJKÚ hFˆubh)”}”(hŒperl-text-diff”h#Œ1.45”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ,perl-text-diff-1.45-pl5321hd8ed1ab_0.tar.bz2”h+Œ 7c91b422ca8ccb679449d1e3cdd3b7d7”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/perl-text-diff-1.45-pl5321hd8ed1ab_0.tar.bz2”h0Œ@d9943806546b2d59d09f2d0e849eb1e90e40b8120dc1b70930966c1f53c82b94”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-algorithm-diff”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØËo‚QÊÁhEM¤~hFˆubh)”}”(hŒr-additivitytests”h#Œ1.1_4.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ/r-additivitytests-1.1_4.1-r42hc72bb7e_1.tar.bz2”h+Œ e3a5e9ac1672ba584512efdbad109a59”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-additivitytests-1.1_4.1-r42hc72bb7e_1.tar.bz2”h0Œ@0b9379afb06e97f445b34b2edbf0725b0adf752827747a40924bdcb4b6c5ea63”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ
u bNhEJ]  hFˆubh)”}”(hŒr-shinyhelper”h#Œ0.3.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-shinyhelper-0.3.2-r40hc72bb7e_1.tar.bz2”h+Œ 2d35e29288acf6216e0635abaf47881b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinyhelper-0.3.2-r40hc72bb7e_1.tar.bz2”h0Œ@9809c4ae8e48a2320798ac91b8078b38d1dc1bb22a6a6e1b19605e605439dd27”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-markdown”Œr-shiny”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+õT+×
hEJ,± hFˆubh)”}”(hŒbetamax”h#Œ0.8.1”h%Œpy_0”h'K hhh(h)hŒbetamax-0.8.1-py_0.tar.bz2”h+Œ 2fd6909e589e68408816d5815a0d5d35”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/betamax-0.8.1-py_0.tar.bz2”h0Œ@96fcffde8518cbd7da080a050f32e2fa09a271f07d7d3e97ad419aebfead1b3f”h2NhNh3Œpython”Œrequests >=2.0”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hEMOphFˆubh)”}”(hŒjupyter-rsession-proxy”h#Œ2.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1jupyter-rsession-proxy-2.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ bc9f42b4027c982b0076921df39d4a6d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/jupyter-rsession-proxy-2.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@7773cab780d475235463a696abce0d823cda86cf153ab7d3cf702e3b95eaa0cc”h2NhNh3Œjupyter-server-proxy >=3.1”Œ
python >=3”Œ
setuptools”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÆ_v<‹DhEM¶%hFˆubh)”}”(hŒgraypy”h#Œ2.1.0”h%Œpy_0”h'K hhh(h)hŒgraypy-2.1.0-py_0.tar.bz2”h+Œ d040934c60522e9d07ea538f66be35fd”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/graypy-2.1.0-py_0.tar.bz2”h0Œ@4d879a3207853a3e6437056bed58a402d9e759ae68dc020cb3d36e74dd073ff3”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA× eü¬hEM>dhFˆubh)”}”(hŒimportlib-metadata”h#Œ2.0.0”h%Œpy_1”h'Khhh(h)hŒ%importlib-metadata-2.0.0-py_1.tar.bz2”h+Œ 9061524478034b761f355a42bd9a7e3d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/importlib-metadata-2.0.0-py_1.tar.bz2”h0Œ@679abdac89fa30914ccf808f912d2aa25cc8ac614327de983566a16b48271a5d”h2NhNh3Œ
python >=3”Œ
zipp >=0.5”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×à&Vû¥ãhEMænhFˆubh)”}”(hŒ	r-lmodel2”h#Œ1.7_3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-lmodel2-1.7_3-r40hc72bb7e_0.tar.bz2”h+Œ 5f26d842d4af73dce27a0f4b428edaf1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-lmodel2-1.7_3-r40hc72bb7e_0.tar.bz2”h0Œ@ed9dfa332347dba4af8a5b1e1a39d92f83369346d2c0ac8b83d003f244e9f485”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØL„zg¾whEJt hFˆubh)”}”(hŒr-graphtweets”h#Œ0.5.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-graphtweets-0.5.3-r42hc72bb7e_2.tar.bz2”h+Œ 09fa201ffc7d3bddd36a5351d2ef5470”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-graphtweets-0.5.3-r42hc72bb7e_2.tar.bz2”h0Œ@b570c646785021d29c7421574c5c1bef651ea867f4da304295c10114bf61d6e4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-combinat”Œr-dplyr”Œr-igraph”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒj*¨QìhEJË hFˆubh)”}”(hŒ'jupyterlab-interactive-dashboard-editor”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒBjupyterlab-interactive-dashboard-editor-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ d785ced98d8ed43fa93968d64f49d746”h.Œphttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-interactive-dashboard-editor-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@aabf8921aeb6da86d51d4de3446b916d268fd1aa3ec129b61c1adb5d66f12310”h2NhNh3Œjupyterlab >=3.0,<4”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ'Y)i%hEM)²hFˆubh)”}”(hŒcheckmarxpythonsdk”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-checkmarxpythonsdk-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 9530effa830eb9ba64cd8903ca0a8582”h.Œ[https://conda.anaconda.org/conda-forge/noarch/checkmarxpythonsdk-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e8aacc421cbd2dff94637e263b609d7cc17e230fb26f1925cc423a13e1be9d3b”h2NhNh3(Œpython >=3.6”Œpython-dateutil >=2.8.2”Œrequests >=2.22.0”Œrequests-toolbelt >=0.9.1”Œurllib3 1.26.8”Œzeep >=3.4.0”t”h9h?h@ŒGPL-3”hBŒGPL”hDGAØ£ô¸¸bNhEJéä hFˆubh)”}”(hŒr-neldermead”h#Œ1.0_12”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-neldermead-1.0_12-r41hc72bb7e_1.tar.bz2”h+Œ 1b67e9375b9f1d45898568c92838069d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-neldermead-1.0_12-r41hc72bb7e_1.tar.bz2”h0Œ@af19a8e2d6df930e53b1780de0d28e1b33956518d89738bafe70f7252fc20012”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-optimbase >=1.0_9”Œr-optimsimplex >=1.0_7”‡”h9hºh@ŒCeCILL-2”hBŒOTHER”hDGAØÒFƒ¦$ÝhEJœ hFˆubh)”}”(hŒalsa-lib-cos7-aarch64”h#Œ1.1.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ1alsa-lib-cos7-aarch64-1.1.8-ha826a6f_1103.tar.bz2”h+Œ 2c9b17173f11d8e50ec975f1d4225e43”h.Œ_https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos7-aarch64-1.1.8-ha826a6f_1103.tar.bz2”h0Œ@58e6633737649e8a7bc8168dd5031815b22ca739e5b00aa761983d23f935df44”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{WÈ´hEJ hFˆubh)”}”(hŒ	r-multica”h#Œ1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-multica-1.1-r40hc72bb7e_0.tar.bz2”h+Œ efba56aef9cf40219af41b0eb70c3feb”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-multica-1.1-r40hc72bb7e_0.tar.bz2”h0Œ@8dea86c966ca68d3cfec0c160fa2fed3f3829362506f697a6589814470fb0ec8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-bitops”Œ
r-multcomp”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØh°ÈKÇhEMußhFˆubh)”}”(hŒurbansim_defaults”h#Œ0.2”h%Œpy_0”h'K hhh(h)hŒ"urbansim_defaults-0.2-py_0.tar.bz2”h+Œ 3767d6a07b67c5ab7b2607d58fcf3d94”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/urbansim_defaults-0.2-py_0.tar.bz2”h0Œ@7aeb8aedd06b495150524bb3ec4a986c6eacb0869e20f2b568fdaba73c4b0437”h2NhNh3(Œnumpy”Œorca”Œpandana”Œpandas”Œpython”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×iÕRß;hEMòKhFˆubh)”}”(hŒr-parsetools”h#Œ0.1.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ(r-parsetools-0.1.3-r35h6115d3f_0.tar.bz2”h+Œ 59aa0c68c04b0b27110338eb1532af24”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-parsetools-0.1.3-r35h6115d3f_0.tar.bz2”h0Œ@159308f741e2973305990d1eeaedd52a4f05336483e58256c6a3b5df7ba31a25”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯ pÔþhEJ›ú
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h1341992_0”h'K hhh(h)hŒ6libxxf86vm-devel-cos7-ppc64le-1.1.4-h1341992_0.tar.bz2”h+Œ 2b1e25ebb37e0e545072c387cd116f8d”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-devel-cos7-ppc64le-1.1.4-h1341992_0.tar.bz2”h0Œ@f08be3a9f838b15fd3d3d8e2ac391f32f0f39504e53a13f011389e508a5c921c”h2NhNh3Œ(libxxf86vm-cos7-ppc64le 1.1.4 h1341992_0”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×mjTýôhEMý.hFˆubh)”}”(hŒr-ggseqlogo”h#Œ0.1”h%Œr36_1003”h'Mëhhh(h)hŒ r-ggseqlogo-0.1-r36_1003.tar.bz2”h+Œ ac6d3771b4186831fea9ac6cb07e8e70”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-ggseqlogo-0.1-r36_1003.tar.bz2”h0Œ@12ade38463859876dd4df7ea19dd911f2a3ca565dd8f34da475d2a5853265479”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”†”h9hºh@ŒLGPL”hBŒLGPL”hDGA×¬Ã/R-hEJç hFˆubh)”}”(hŒcairo-cos7-x86_64”h#Œ1.15.12”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/cairo-cos7-x86_64-1.15.12-h9d98e8f_1104.tar.bz2”h+Œ 98c27fc0e8ccd35c3b7225347992d235”h.Œ]https://conda.anaconda.org/conda-forge/noarch/cairo-cos7-x86_64-1.15.12-h9d98e8f_1104.tar.bz2”h0Œ@3b480a1d40947b1785d275d1893a3040125925ace43ee21213095436436a14cc”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×Éz¯¸hEJ¦ hFˆubh)”}”(hŒlabelimg”h#Œ1.8.6”h%Œosx_pyhd8ed1ab_3”h'Khhh(h)hŒ'labelimg-1.8.6-osx_pyhd8ed1ab_3.tar.bz2”h+Œ 9a04028746b831349033d7da88a59c19”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/labelimg-1.8.6-osx_pyhd8ed1ab_3.tar.bz2”h0Œ@800abce228c82854661756c00d55415c7ae4808fe18ee94bfb3be477306ccb94”h2NhNh3(Œ__osx”Œ__unix”Œlxml”Œpyqt”Œ
python >=3”t”h9h?h@ŒMIT”hBŒMIT”hDGAØØ²ÎâáHhEJj hFˆubh)”}”(hŒspyder-remote-server”h#Œ0.0.25”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0spyder-remote-server-0.0.25-pyhd8ed1ab_0.tar.bz2”h+Œ 62d97105adc41f558a642434926c2927”h.Œ^https://conda.anaconda.org/conda-forge/noarch/spyder-remote-server-0.0.25-pyhd8ed1ab_0.tar.bz2”h0Œ@8e00c60da5b3cf43c0d2c180a326ac71c77393ef1cb55e8354d0c6f9860d96f2”h2NhNh3(Œclick”Œ
daemoniker”Œjinja2”Œpython >=3.6”Œpyzmq”Œzeroconf”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ^:dÃohEMéGhFˆubh)”}”(hŒ
r-relaimpo”h#Œ2.2_6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-relaimpo-2.2_6-r40hc72bb7e_0.tar.bz2”h+Œ ff56a95a4559d848b468cefd01a5e848”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-relaimpo-2.2_6-r40hc72bb7e_0.tar.bz2”h0Œ@259bc0cfad72be9e41df192e6a9e58cd3b9b88eb746ff72c64b6e4a45bfc5bdf”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œ	r-corpcor”Œr-mass”Œ	r-mitools”Œr-survey”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ\=¬öÙhEJâ’ hFˆubh)”}”(hŒexpat-devel-cos7-ppc64le”h#Œ2.1.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4expat-devel-cos7-ppc64le-2.1.0-h9b0a68f_1105.tar.bz2”h+Œ fe0301bfd3c804f4fdc3c0fd642179c9”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-ppc64le-2.1.0-h9b0a68f_1105.tar.bz2”h0Œ@70346f854c39e2a2163767db9a70748d07a6d1c5de6aed08978656e8a42020e8”h2NhNh3Œ!expat-cos7-ppc64le ==2.1.0 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ÚºJhEMxÂhFˆubh)”}”(hŒr-loader”h#Œ1.7.1”h%Œr36ha770c72_0”h'K hhh(h)hŒ$r-loader-1.7.1-r36ha770c72_0.tar.bz2”h+Œ 7201b8d7ddc9a020d75f0ff5ae9bc163”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-loader-1.7.1-r36ha770c72_0.tar.bz2”h0Œ@4ee1d96b135cec74bd6e10c2a09ca92bd46e58542fecce9614898cfd3d53adf1”h2NhNh3(Œr-abind”Œr-base >=3.6,<3.7.0a0”Œr-climate4r.udg >=0.2.0”Œr-loader.java”Œr-rcurl”Œr-rjava”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡+Äƒ¶FhEJÞ¨ hFˆubh)”}”(hŒlibxdamage-cos7-aarch64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libxdamage-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 2ed00b7eb985a77b35e37e84f2ff6854”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@b5f799edf2cdd00909e6989460fe2d47693dd70beecc7924bf9b57941de95358”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éz@A‰hEM
DhFˆubh)”}”(hŒ
r-genetics”h#Œ	1.3.8.1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ*r-genetics-1.3.8.1.3-r40hc72bb7e_0.tar.bz2”h+Œ 521ba016968c3e67bebb723866b7eeab”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-genetics-1.3.8.1.3-r40hc72bb7e_0.tar.bz2”h0Œ@a52e9a46a442fe03f0b739154c33dad509a1ff4c4752cb6e35dad5e45cb6a135”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-combinat”Œr-gdata”Œr-gtools”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ@ÒÂ=qhEJÒ hFˆubh)”}”(hŒr-htmltable”h#Œ2.4.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-htmltable-2.4.1-r41hc72bb7e_1.tar.bz2”h+Œ 43f99fa0e6a452c20dd3627a4fbcbc4e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-htmltable-2.4.1-r41hc72bb7e_1.tar.bz2”h0Œ@5b48d51910f1cd89315ed77ea280091a22d795bf38116105e7f033f8e23a0773”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-htmltools”Œr-htmlwidgets”Œr-knitr >=1.6”Œr-magrittr >=1.5”Œr-rstudioapi >=0.6”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ½	FE¢hEJÊk hFˆubh)”}”(hŒat-spi-devel-cos7-ppc64le”h#Œ1.32.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ6at-spi-devel-cos7-ppc64le-1.32.0-hdf0574f_1102.tar.bz2”h+Œ dc62ee75bbab5e07011511a1bdfa5616”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos7-ppc64le-1.32.0-hdf0574f_1102.tar.bz2”h0Œ@8d1e4d9d7c0974b1b41133ddb9f6a0f380ca2ae028f3c2e25bbd8af051403fec”h2NhNh3(Œ#at-spi-cos7-ppc64le ==1.32.0 *_1102”Œ&atk-devel-cos7-ppc64le >=1.29.2 *_1102”Œ'gtk2-devel-cos7-ppc64le >=2.10.0 *_1102”Œ(gtk2-devel-cos7-ppc64le >=2.24.31 *_1102”Œ+libbonobo-devel-cos7-ppc64le >=2.4.0 *_1102”Œ(orbit2-devel-cos7-ppc64le >=2.6.0 *_1102”Œsysroot_linux-ppc64le 2.17.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÅjSÉûçhEJûe hFˆubh)”}”(hŒr-oompabase”h#Œ3.2.9”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-oompabase-3.2.9-r35h6115d3f_0.tar.bz2”h+Œ fb62e7919bd9ad11391bb5410e7593fd”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-oompabase-3.2.9-r35h6115d3f_0.tar.bz2”h0Œ@dd10c7b861dcd0f135d7ca836b0794cbfebf669c7b6560270d7c6129b3e8c10a”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-cluster”†”h9hºh@Œ
Apache-2-0”hBŒAPACHE”hDGA×XWS2n˜hEJˆÙ hFˆubh)”}”(hŒmup”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒmup-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7b3ad0fbb5444b1a909ff1423e404a98”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/mup-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e88fd13502617ca10b72139f51c74efd5df6270e81268e6c6ffe4316895d49f6”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.6”Œpytorch”Œpyyaml”Œseaborn”Œtorchvision”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÐ&þ¤9XhEMßchFˆubh)”}”(hŒpymorphy2-dicts-ru”h#Œ2.4.417127.4579844”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ:pymorphy2-dicts-ru-2.4.417127.4579844-pyh9f0ad1d_0.tar.bz2”h+Œ 63637047ec7ca9820dc2f576fb04ee66”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/pymorphy2-dicts-ru-2.4.417127.4579844-pyh9f0ad1d_0.tar.bz2”h0Œ@f182d1c1124bce58f26d25694867314693137fd9933866e11ac7a666c92df6c1”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×á,)7LhEJžxq hFˆubh)”}”(hŒpyspark-test”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pyspark-test-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0ebc63e0b9fc1721fbdbf06a14ac8048”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pyspark-test-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@23443dad59eeb266bcb0640948c95245bb56e026bdeed16b805efe3eef1d9bc5”h2NhNh3Œpyspark >=2.1.2”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ`ÜSÆ¨hEM¾0hFˆubh)”}”(hŒescapism”h#Œ1.0.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#escapism-1.0.1-pyh9f0ad1d_0.tar.bz2”h+Œ 598755324d753727149360b89bcf14b3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/escapism-1.0.1-pyh9f0ad1d_0.tar.bz2”h0Œ@643872c2b8d494f822539505ef1786a0e525e12a21701a3b5bc2445f12415c44”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×ªÂ¼ZhEMehFˆubh)”}”(hŒr-showimage”h#Œ1.0.0”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ*r-showimage-1.0.0-r40hc72bb7e_1002.tar.bz2”h+Œ f16016b965f92a965d84acc5666cb802”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-showimage-1.0.0-r40hc72bb7e_1002.tar.bz2”h0Œ@6185a82b3e9bd96bc21606450d01fc6b7e00e8b2b8ec90c0d03c84583528e11b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-png”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ*ñ,²ÀƒhEMóohFˆubh)”}”(hŒsphinx-multitoc-numbering”h#Œ0.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ4sphinx-multitoc-numbering-0.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 40749a4d0f0d2e11c65fb26c1cd16a90”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/sphinx-multitoc-numbering-0.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@6c8241fdb4222799c04677b06b2e1f480a6c11f27c8fccc9f73f98798d3c44d8”h2NhNh3Œpython >=3.6”Œ
sphinx >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØX<K•hEMÔhFˆubh)”}”(hŒr-exposition”h#Œ2.8.23”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ)r-exposition-2.8.23-r41hc72bb7e_3.tar.bz2”h+Œ 01e4cd3c4b5dda8d9c64ddd422dc9ad0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-exposition-2.8.23-r41hc72bb7e_3.tar.bz2”h0Œ@a143a330bdf9e0f304ee51edfc2fb88a52875b6497f86debd54094a65460e7ab”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-prettygraphs >=2.1.4”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ°ýøå`hEJ}5 hFˆubh)”}”(hŒneurosynchro”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒneurosynchro-0.1.4-py_0.tar.bz2”h+Œ a441d066faa20343f80f2d32ff23e450”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/neurosynchro-0.1.4-py_0.tar.bz2”h0Œ@88fb13ae30ef51117e4cd37823f664cee0190a92b556b535cf7671876b4bfe77”h2NhNh3(Œkeras”Œnumpy”Œpandas”Œpwkit”Œpython”Œpytoml”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAÖÚ½_\hEM¾QhFˆubh)”}”(hŒr-factormerger”h#Œ0.4.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ*r-factormerger-0.4.0-r35h6115d3f_1.tar.bz2”h+Œ f38e976aff5211c245070a7d69656384”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-factormerger-0.4.0-r35h6115d3f_1.tar.bz2”h0Œ@7accbad6b203901af0475afeddefaf0e15d400723d5722c3e256996fe1fe640b”h2NhNh3(Œr-agricolae”Œr-base >=3.5,<3.6.0a0”Œr-colorramps”Œr-dplyr”Œ	r-forcats”Œr-formula.tools”Œ	r-ggplot2”Œr-ggpubr”Œr-knitr”Œ
r-magrittr”Œr-mass”Œ	r-mvtnorm”Œr-proxy”Œ
r-reshape2”Œr-scales”Œ
r-survival”t”h9hºh@ŒGPL”hBŒGPL”hDGA×M3%¡ËhEJÃÀ$ hFˆubh)”}”(hŒnlp-primitives”h#Œ2.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)nlp-primitives-2.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7c05a39a8ed68366a1dce71b09519d57”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/nlp-primitives-2.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d694962dec2ca0ede7a008333019bedd66e2b04fc95c3a82600b6d8f1faf95a0”h2NhNh3(Œfeaturetools >=1.5.0”Œnltk >=3.4.5”Œnumpy >=1.17.5”Œpandas >=1.3.0”Œpython >=3.8.*”Œscikit-learn >=0.20.0”Œwoodwork >=0.8.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕûëE`BhEJ)HhFˆubh)”}”(hŒ	r-mockery”h#Œ0.4.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-mockery-0.4.3-r41hc72bb7e_1.tar.bz2”h+Œ 327145a45612a8789ca33308b453a003”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mockery-0.4.3-r41hc72bb7e_1.tar.bz2”h0Œ@e92a343320455ff8090a5e7e2ab0a7b6cb6506e5dd3d8cda19a1e64788833e0a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-testthat”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ¤u‹DhEMÖÅhFˆubh)”}”(hŒflask-injector”h#Œ0.14.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*flask-injector-0.14.0-pyhd8ed1ab_0.tar.bz2”h+Œ a24216fdc53747057577f8ad6f5cc9d5”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/flask-injector-0.14.0-pyhd8ed1ab_0.tar.bz2”h0Œ@079818f5c3b74a3a85fda3384e55224c3d1e35783a91253a75c090106b773bad”h2NhNh3Œflask >=2.1.2”Œinjector >=0.20.0”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØªµ;"ÑhEM¢?hFˆubh)”}”(hŒ
dependente”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%dependente-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ a7797e77ed05fea7c41ab4d5c4489729”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/dependente-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b9728a3683bec6f4b6dd00147ad36c55e01077974d3f42d5d828c032301b2314”h2NhNh3Œclick <9.0.0,>=8.0.0”Œpython >=3.6”Œtomli <3.0.0,>=1.1.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØwQžhEM…4hFˆubh)”}”(hŒperl-test-deep”h#Œ1.130”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ-perl-test-deep-1.130-pl5321hd8ed1ab_0.tar.bz2”h+Œ fcc516756eeb56208965d43fc12e23dd”h.Œ[https://conda.anaconda.org/conda-forge/noarch/perl-test-deep-1.130-pl5321hd8ed1ab_0.tar.bz2”h0Œ@4d7fe38eb917fc8b5a5745267b43b572589ade3284ae8d417ac435f9598c6ec1”h2NhNh3Œperl >=5.32.1,<6.0a0 *_perl5”…”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÅ’p°ÔþhEMx«hFˆubh)”}”(hŒlibnl3-cos6-x86_64”h#Œ3.2.21”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.libnl3-cos6-x86_64-3.2.21-h9d98e8f_104.tar.bz2”h+Œ befecd8113910c7fbac61e7f883e1e56”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl3-cos6-x86_64-3.2.21-h9d98e8f_104.tar.bz2”h0Œ@39f937557c965d154946eaeb89a85a6de4264b12461c08affacd4a98ee5e4541”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Éy”?¾whEJ3Z hFˆubh)”}”(hŒdivebomb”h#Œ1.1.2”h%Œpy_0”h'K hhh(h)hŒdivebomb-1.1.2-py_0.tar.bz2”h+Œ af27cd052a586319eba23e561a886b43”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/divebomb-1.1.2-py_0.tar.bz2”h0Œ@e590ab973e57c8560cf036d1fd5c385d90c8a6e5f5efbdcaf192f2cb4ae5843f”h2NhNh3(Œ
colorlover”Œ
ipywidgets”Œnetcdf4”Œnumpy”Œpandas”Œ	peakutils”Œplotly”Œpython”Œscikit-learn”Œsphinx”Œxarray”t”h9h?h@ŒGPL-2.0”hBŒGPL”hDGA×wì°õ‘hhEMÉ_hFˆubh)”}”(hŒggplot”h#Œ0.11.5”h%Œpy_4”h'Khhh(h)hŒggplot-0.11.5-py_4.tar.bz2”h+Œ 5be344d187e72de07eedb01cf0178192”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/ggplot-0.11.5-py_4.tar.bz2”h0Œ@706cc7b2f2734072486b579bd04f2e8adb0b8814b25d772b7771d18936155dbb”h2NhNh3(Œ
brewer2mpl”Œcycler”Œ
matplotlib”Œnumpy”Œpandas <=0.22.0”Œpatsy >=0.4”Œpython”Œscipy”Œsix”Œstatsmodels”t”h9h?h@ŒBSD 2-Clause”hBŒBSD”hDGA×5<CîéyhEJ hFˆubh)”}”(hŒr-medicalrisk”h#Œ1.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ'r-medicalrisk-1.3-r36h6115d3f_1.tar.bz2”h+Œ 95ccae0fd8c07493ac5feb425eb1e796”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-medicalrisk-1.3-r36h6115d3f_1.tar.bz2”h0Œ@d6356eb9e4c42d9953c09a57813bceecf3698448523ac91f0df2868a99df668e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-hash”Œr-plyr >=1.5”Œ
r-reshape2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬«þ1'hEJÓ hFˆubh)”}”(hŒ	pylibdmtx”h#Œ0.1.9”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ$pylibdmtx-0.1.9-pyh9f0ad1d_0.tar.bz2”h+Œ 0fb45b3d70c076f12e1cc3c9c78b54d3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pylibdmtx-0.1.9-pyh9f0ad1d_0.tar.bz2”h0Œ@8ae84bfd558512f12a796b86b4a84e1fdf4923cd6fffcc05a6fd3ba5cd81c819”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¯cŠZMÓhEMåHhFˆubh)”}”(hŒr-svunit”h#Œ1.0.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-svunit-1.0.6-r40hc72bb7e_0.tar.bz2”h+Œ c85e20eda3e7d2c359c03984c04edf71”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-svunit-1.0.6-r40hc72bb7e_0.tar.bz2”h0Œ@ec75efc511a31a16479eef59a3e095795e2cc03c13bc5f9c7aa5b69fc8062d2f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØJîÌZhEJº³	 hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_4”h'Khhh(h)hŒ!fenics-fiat-2019.1.0-py_4.tar.bz2”h+Œ 0ac83d26586ecce9a701e3585b9e80dc”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_4.tar.bz2”h0Œ@2353ec2ea240ada44fa8776a401d22cf3ab095e842226c9ebc5198a3b7aad6cb”h2NhNh3Œnumpy”Œpython >=3.5”Œ	sympy >=1”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×P¤¦¸RhEJ>+ hFˆubh)”}”(hŒr-shinyhelper”h#Œ0.3.2”h%Œr40h6115d3f_1”h'Khhh(h)hŒ)r-shinyhelper-0.3.2-r40h6115d3f_1.tar.bz2”h+Œ 78ca3175c46ec027e50b0b69c4b0bc70”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinyhelper-0.3.2-r40h6115d3f_1.tar.bz2”h0Œ@c942ddb20d15efd057d6d9c49433613b87bcd2decc1d582bb3c9535bb66a842d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-markdown”Œr-shiny”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬;a’JhEJ¯ hFˆubh)”}”(hŒat-spi-devel-cos6-x86_64”h#Œ1.28.1”h%Œha826a6f_103”h'Kghhh(h)hŒ4at-spi-devel-cos6-x86_64-1.28.1-ha826a6f_103.tar.bz2”h+Œ d47060e4a27496afb9a59a077a59c615”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/at-spi-devel-cos6-x86_64-1.28.1-ha826a6f_103.tar.bz2”h0Œ@58add6eec7e51a29c4f4173a84bd16aaae4029ae9461e8fdcd204b8935f06c58”h2NhNh3(Œ!at-spi-cos6-x86_64 ==1.28.1 *_103”Œ$atk-devel-cos6-x86_64 >=1.13.0 *_103”Œ%gtk2-devel-cos6-x86_64 >=2.10.0 *_103”Œ&gtk2-devel-cos6-x86_64 >=2.24.23 *_103”Œ)libbonobo-devel-cos6-x86_64 >=2.4.0 *_103”Œ&orbit2-devel-cos6-x86_64 >=2.6.0 *_103”t”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ3?}VhEJe[ hFˆubh)”}”(hŒr-shinycustomloader”h#Œ0.9.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ/r-shinycustomloader-0.9.0-r41hc72bb7e_1.tar.bz2”h+Œ fbc6f7c54a4983095b66692daff174ca”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-shinycustomloader-0.9.0-r41hc72bb7e_1.tar.bz2”h0Œ@402309daf7b434528e78a7d63a87c3c1c563503e53b706a0111bad4c343519a1”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-glue”Œr-shiny”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ{ó×
hEMÆhFˆubh)”}”(hŒrestrictedpython”h#Œ6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)restrictedpython-6.0-pyhd8ed1ab_0.tar.bz2”h+Œ ac33647e5d8f9ba5845d0d112265bbb9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/restrictedpython-6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5c97379e604f8838a9537ede7f5c4114441bbd00751284c675674023f930d30e”h2NhNh3Œpython <3.10”…”h9h?h@ŒZPL-2.1”hDGAØØço¼í‘hEM…ahFˆubh)”}”(hŒ
knockknock”h#Œ0.1.8.1”h%Œpy_0”h'K hhh(h)hŒknockknock-0.1.8.1-py_0.tar.bz2”h+Œ 673b0f695d5f5a7276c398a4463b632b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/knockknock-0.1.8.1-py_0.tar.bz2”h0Œ@c023af28cf8b6817909a4e0f1019140df4b9d103570de05ad320c4511041576e”h2NhNh3(Œkeyring”Œmatrix_client”Œpython >=3.6”Œpython-telegram-bot”Œrequests”Œtwilio”Œyagmail >=0.11.214”t”h9h?h@ŒMIT”hBŒMIT”hDGA×œEf$ÝhEMªIhFˆubh)”}”(hŒpyqi”h#Œ0.3.2”h%Œpy_0”h'K hhh(h)hŒpyqi-0.3.2-py_0.tar.bz2”h+Œ d5ac8dcab01b79b9f474c6aebcdd379a”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/pyqi-0.3.2-py_0.tar.bz2”h0Œ@067562b69d1b10dda8fec0c3e460a79b0dc155f3d69b328650750e48e0985bfe”h2NhNh3Œ	python <3”…”h9h?h@ŒBSD”hBŒBSD”hDGAÖõÿßchEMá‘hFˆubh)”}”(hŒr-mccf1”h#Œ1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-mccf1-1.1-r40hc72bb7e_0.tar.bz2”h+Œ c1cc49a319b8af1ebbef917472120f31”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mccf1-1.1-r40hc72bb7e_0.tar.bz2”h0Œ@2af1c72a812c8d53b2f16426121117cebb8de6564ce7cc917234479be4327532”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-rocr”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ+º´ù7LhEMÂŽhFˆubh)”}”(hŒca-certificates-cos6-x86_64”h#Œ	2018.2.22”h%Œh9b0a68f_105”h'Kihhh(h)hŒ:ca-certificates-cos6-x86_64-2018.2.22-h9b0a68f_105.tar.bz2”h+Œ 018566d8bccafa69a5b02ee4c22d71b7”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/ca-certificates-cos6-x86_64-2018.2.22-h9b0a68f_105.tar.bz2”h0Œ@ccab14252cbc10d42356255dc7d1fe48fb03753237224d75ca5b7fba546a7762”h2NhNh3Œ"p11-kit-cos6-x86_64 >=0.18.4 *_105”Œ(p11-kit-trust-cos6-x86_64 >=0.18.4 *_105”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@Zû›¦hEJ3 hFˆubh)”}”(hŒ	r-squarem”h#Œ2021.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ&r-squarem-2021.1-r36hc72bb7e_0.tar.bz2”h+Œ 54a08d613890d479a75696f40ca140b7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-squarem-2021.1-r36hc72bb7e_0.tar.bz2”h0Œ@6a7d274d1ee2facf149e89fea0c5b2822288de2bb51e456cf0340c9ef9c50631”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ÿ­°´9hEJO hFˆubh)”}”(hŒr-dunn.test”h#Œ1.3.5”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ*r-dunn.test-1.3.5-r41ha770c72_1002.tar.bz2”h+Œ e1e069984dd00a43d92b032657c70dff”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-dunn.test-1.3.5-r41ha770c72_1002.tar.bz2”h0Œ@2a0dd783ae100be2100c1c39ac1380364f92d0f5a6a448b3b5325c1aa2aaac15”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ*ì8û¶FhEMÿhFˆubh)”}”(hŒlibxi-cos7-x86_64”h#Œ1.7.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ-libxi-cos7-x86_64-1.7.9-ha826a6f_1103.tar.bz2”h+Œ eb14ad6bb411cf6c10458f1ca87800b9”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-x86_64-1.7.9-ha826a6f_1103.tar.bz2”h0Œ@21b120b614f281b961adbbbd978d5fa7ca0a665ac79e157e4fb1a88857e4d472”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1³uÒòhEM¬hFˆubh)”}”(hŒsqlalchemy-spanner”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-sqlalchemy-spanner-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ efddea83bdff259c999c284d46cfc856”h.Œ[https://conda.anaconda.org/conda-forge/noarch/sqlalchemy-spanner-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3c2bc886a4b8410e7c6c751689c905e1114c67b720811f9ff5e0c478f8c7af75”h2NhNh3(Œalembic”Œgoogle-cloud-spanner >=3.12.0”Œpython >=3.6”Œsqlalchemy >=1.1.13”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ}4ëhEMOhFˆubh)”}”(hŒlibdrm-cos7-ppc64le”h#Œ2.4.97”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/libdrm-cos7-ppc64le-2.4.97-h9b0a68f_105.tar.bz2”h+Œ 4d8921083313b2736c499f881a2f20a8”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-ppc64le-2.4.97-h9b0a68f_105.tar.bz2”h0Œ@a5d42eae998e72c122467a6edfb7fef112d38637dc05d6b7dca2212a5de749ad”•8      h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@‡ªÛÆ¨hEJˆ hFˆubh)”}”(hŒr-hgnchelper”h#Œ0.8.1”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ(r-hgnchelper-0.8.1-r36hc72bb7e_0.tar.bz2”h+Œ 811e698a628c3da89172c95bdbccfa33”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-hgnchelper-0.8.1-r36hc72bb7e_0.tar.bz2”h0Œ@e7d53ebdf1c454dbb2cc0f0b29546d7533d6629e731847029b388de7848f3318”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ$ôPáHhEJn hFˆubh)”}”(hŒfreetype-devel-cos7-aarch64”h#Œ2.8”h%Œha826a6f_103”h'Kghhh(h)hŒ4freetype-devel-cos7-aarch64-2.8-ha826a6f_103.tar.bz2”h+Œ 8e5ee0fc6c7d0c44e94e130acab42fd6”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos7-aarch64-2.8-ha826a6f_103.tar.bz2”h0Œ@f60cb93221f469b2b5e03b330ee54dd2d454b09f08d5beb49d0557e2dd672d60”h2NhNh3Œ!freetype-cos7-aarch64 ==2.8 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×Æ0•BMÓhEJ=P hFˆubh)”}”(hŒ
r-optparse”h#Œ1.7.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-optparse-1.7.3-r41hc72bb7e_0.tar.bz2”h+Œ 2e3084dc2815dee122d623079813e1ea”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-optparse-1.7.3-r41hc72bb7e_0.tar.bz2”h0Œ@9b076a62a29c907fd2a4030d08ac7d1433e8ec302568dac0870aa95f2979c8e2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-getopt >=1.20.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ¶$`bJhEJTf hFˆubh)”}”(hŒfenics-fiat”h#Œ2019.1.0”h%Œpy_6”h'Khhh(h)hŒ!fenics-fiat-2019.1.0-py_6.tar.bz2”h+Œ 88b6c05edf6b90b41f41d09a4d8c589d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/fenics-fiat-2019.1.0-py_6.tar.bz2”h0Œ@3ab5fe8e07fbc0453f42ecbf07e8aa204aabea50a9f44a06a27be840705008d8”h2NhNh3Œnumpy”Œpython >=3.5”Œ	sympy >=1”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×Yšxâ°!hEJ0+ hFˆubh)”}”(hŒr-mefa”h#Œ3.2_8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-mefa-3.2_8-r41hc72bb7e_0.tar.bz2”h+Œ ccf9acc6bbebac4d0d17e3c6fdb8461d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mefa-3.2_8-r41hc72bb7e_0.tar.bz2”h0Œ@25af154e8969be80267dbbf549520cbdd00e07246a937767e3d65b33bafe6cae”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØW¯~ƒhEJT hFˆubh)”}”(hŒr-rmagic”h#Œ2.0.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-rmagic-2.0.3-r42hc72bb7e_2.tar.bz2”h+Œ 9bbba52770ad95d23589ff0dab34d5af”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rmagic-2.0.3-r42hc72bb7e_2.tar.bz2”h0Œ@82231ccfb7e508e6bd076eeb9dd0c0a567968e674066fb3017cf2a503420e4b1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-matrix >=1.2_0”Œr-reticulate >=1.4”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ£†hEJ‰ä( hFˆubh)”}”(hŒ"xorg-x11-server-common-cos6-x86_64”h#Œ1.17.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ>xorg-x11-server-common-cos6-x86_64-1.17.4-hdf0574f_102.tar.bz2”h+Œ 6a9273182cdf9bcb7851ebe2a850043f”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos6-x86_64-1.17.4-hdf0574f_102.tar.bz2”h0Œ@bb3a5e3b28955992e90fb77c903d9557f21ba2e4ff77a65d1a38d29ee234390e”h2NhNh3Œ!pixman-cos6-x86_64 >=0.30.0 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;—6VhEM²hFˆubh)”}”(hŒtextual”h#Œ0.1.18”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#textual-0.1.18-pyhd8ed1ab_0.tar.bz2”h+Œ ba51ea775d31faa4a547e937c6cd4d31”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/textual-0.1.18-pyhd8ed1ab_0.tar.bz2”h0Œ@faf4c5516c38b6cfa1bf0d71d73efe98fe132f290bcbe958fa61e8fcf7ca9e36”h2NhNh3Œpython >=3.7,<4”Œrich >=12,<13”Œtyping-extensions >=3.10.0,<4”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØœ¶“Ò=qhEJÁ hFˆubh)”}”(hŒpypresseportal”h#Œ0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pypresseportal-0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 63494c17ff77fa536ba18dfb6e152a3e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pypresseportal-0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ea993fb5350b077f5f9b0e9b9817e4ed2074ad8ed805a6f47bd999e7e1493d86”h2NhNh3Œpython >=3.6”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÊÔZœí‘hEM=hFˆubh)”}”(hŒr-prettyunits”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-prettyunits-1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ c42fd8553689c310113491f0c00d3397”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prettyunits-1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@5aa55aa3f64e5e87c528044477fdebd55d40f20198b0a8dc32a255c1fecc5b30”h2NhNh3Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ*æ²”(öhEMŠ£hFˆubh)”}”(hŒr-seeds”h#Œ0.9.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-seeds-0.9.1-r40hc72bb7e_0.tar.bz2”h+Œ 7c0ce3d12c6c6cdab12e07099f120cf0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-seeds-0.9.1-r40hc72bb7e_0.tar.bz2”h0Œ@b70c797d4571db7a29d90433b68254fd10c84d6352d5065c6ad97e023f6baa19”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-callr”Œr-coda”Œr-deriv >=3.8.4”Œr-desolve >=1.20”Œr-dplyr”Œ	r-ggplot2”Œr-hmisc”Œr-mass”Œr-matrixstats”Œ	r-mvtnorm”Œr-pracma >=2.1.4”Œ	r-r.utils”Œr-ryacas”Œ	r-statmod”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×èõw9G®hEJ-6 hFˆubh)”}”(hŒ	r-reutils”h#Œ0.2.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-reutils-0.2.3-r35h6115d3f_0.tar.bz2”h+Œ fecaa5a59e9753ac4d2910ce391bba75”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reutils-0.2.3-r35h6115d3f_0.tar.bz2”h0Œ@3707b14dc47f48cca9e856315525be338294d8d95e6dae8ba3a4843de4b1cdba”h2NhNh3(Œr-assertthat”Œr-base >=3.5,<3.6.0a0”Œ
r-jsonlite”Œr-rcurl”Œr-tibble >=1.2”Œr-xml”t”h9hºh@ŒMIT”hBŒMIT”hDGA×½”sãSøhEJÇ’ hFˆubh)”}”(hŒdexplot”h#Œ0.1.4”h%Œpy_0”h'K hhh(h)hŒdexplot-0.1.4-py_0.tar.bz2”h+Œ f25a87ff73197110cf0dfc82137a32e8”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/dexplot-0.1.4-py_0.tar.bz2”h0Œ@0461d098187380bc238fd332b50c5ada68d1b541077d95ab9c37a27d84f01b63”h2NhNh3(Œmatplotlib-base >=3.1”Œnumpy >=1.15”Œpandas >=0.24”Œpython >=3.6”Œscipy >=1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¼¨ê]/hEJWò hFˆubh)”}”(hŒr-clustvarsel”h#Œ2.3.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-clustvarsel-2.3.4-r41hc72bb7e_1.tar.bz2”h+Œ 194b343c1e5f9ad4828606827a626c8f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-clustvarsel-2.3.4-r41hc72bb7e_1.tar.bz2”h0Œ@4f5d2120e330597bfbf48024be83f7eea8d51fc47499839d473d8d308196c1b5”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bma >=3.18”Œ	r-foreach”Œr-iterators”Œr-matrix”Œr-mclust >=5.3”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ”M¢áHhEJE. hFˆubh)”}”(hŒlibxrandr-cos7-ppc64le”h#Œ1.5.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1libxrandr-cos7-ppc64le-1.5.1-h9b0a68f_105.tar.bz2”h+Œ 51bc322bbd7393e48bfd21dce4b1ca2b”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos7-ppc64le-1.5.1-h9b0a68f_105.tar.bz2”h0Œ@57385d103c3c3d3d3713095e5aa0d9aaac36504b555f3301476634f28a854de8”h2NhNh3Œ!libx11-cos7-ppc64le >=1.6.0 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŽŒ£×hEM¿dhFˆubh)”}”(hŒ	pylexique”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$pylexique-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ fe7dade23f13e79f5a45524c6318aa05”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pylexique-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@142039e6e9838015bbb1c5f33328cf1fe7305e8a4d2bf142c2e9e26a86ad8c8d”h2NhNh3(Œclick >=8.0.3”Œcolorama”Œdataclasses”Œjoblib”Œpandas”Œpython >=3.7”Œ
setuptools”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ_ÓœzáhEJY B hFˆubh)”}”(hŒ	r-mdscore”h#Œ0.1_3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-mdscore-0.1_3-r40hc72bb7e_0.tar.bz2”h+Œ b9b1b1a4dc2f1e53eb9097bb20aca725”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mdscore-0.1_3-r40hc72bb7e_0.tar.bz2”h0Œ@a99b846bf6e16257e085f78ddd28cc559dcbe450003e8910208b69583574edc8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ:½éŒÝ/hEMËhFˆubh)”}”(hŒr-orcutt”h#Œ2.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-orcutt-2.3-r40hc72bb7e_0.tar.bz2”h+Œ 395ff2302192d4e242c148de508b5cac”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-orcutt-2.3-r40hc72bb7e_0.tar.bz2”h0Œ@dbb0c61c2cda7b05e2260ec7f5efdc0d0b6df98fd854576624a05810862cee06”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-lmtest”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×ö'ßÈ“uhEMãÇhFˆubh)”}”(hŒ
r-emstreer”h#Œ3.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-emstreer-3.0.0-r41hc72bb7e_0.tar.bz2”h+Œ 288c29bb0916a26ccd0cff648133f016”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-emstreer-3.0.0-r41hc72bb7e_0.tar.bz2”h0Œ@c7943c4500403aa0bc0df700ad7be319e5c87268c041602e18f9be337719bdc4”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbmisc”Œ	r-ggplot2”Œr-mlpack”Œr-scatterplot3d”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ¡¥©V{hEMšÁhFˆubh)”}”(hŒbackports.csv”h#Œ1.0.7”h%Œpy_0”h'K hhh(h)hŒ backports.csv-1.0.7-py_0.tar.bz2”h+Œ 4d5857237c8f59b1602a8bfd4534513b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/backports.csv-1.0.7-py_0.tar.bz2”h0Œ@02d0dc11cdce97e3b49f70910a20412b716afacaea397d9a0c30ef228fb2846b”h2NhNh3Œpython”…”h9h?h@ŒPSFL 2”hBŒPSF”hDGA×e?`¨ÔþhEMt;hFˆubh)”}”(hŒr-sda”h#Œ1.3.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ!r-sda-1.3.8-r41hc72bb7e_0.tar.bz2”h+Œ 56212cf2ad7f60746da1c30e0ea44c81”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-sda-1.3.8-r41hc72bb7e_0.tar.bz2”h0Œ@334e33d530c5a81c60025088b953ae0146af0612499a348541f0f859eeb3e3af”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-corpcor >=1.6.8”Œr-entropy >=1.2.1”Œr-fdrtool >=1.2.15”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØf²•— hEJqk> hFˆubh)”}”(hŒr-nls2”h#Œ0.3_3”h%Œr41ha770c72_0”h'K hhh(h)hŒ"r-nls2-0.3_3-r41ha770c72_0.tar.bz2”h+Œ a6d31fcd39b60921e072c4be21c6e8af”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-nls2-0.3_3-r41ha770c72_0.tar.bz2”h0Œ@fe06013fb40c92c9de833c33b6b1cb6fc0307ec3e9d887a22f465af51fe40d68”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-proto”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ›èlÚ~úhEJ¸; hFˆubh)”}”(hŒ%xcb-util-renderutil-devel-cos7-x86_64”h#Œ0.3.9”h%Œh9b0a68f_1105”h'MQhhh(h)hŒAxcb-util-renderutil-devel-cos7-x86_64-0.3.9-h9b0a68f_1105.tar.bz2”h+Œ 75925bd08b18bb9e89fae5d2383afcc2”h.Œohttps://conda.anaconda.org/conda-forge/noarch/xcb-util-renderutil-devel-cos7-x86_64-0.3.9-h9b0a68f_1105.tar.bz2”h0Œ@b040f3820b78d0d17a53e041b7dbd8f28edb245c68185b4eaebb3e4a8212185c”h2NhNh3Œsysroot_linux-64 2.17.*”Œ.xcb-util-renderutil-cos7-x86_64 ==0.3.9 *_1105”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@kÝ´(öhEMÄhFˆubh)”}”(hŒrb-necromancer”h#Œ0.7.0”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ'rb-necromancer-0.7.0-hd8ed1ab_0.tar.bz2”h+Œ 5336ef3784663b18162ffddef96675c2”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/rb-necromancer-0.7.0-hd8ed1ab_0.tar.bz2”h0Œ@cf44c547323ae3891e9e9273dcd2ece9ea58b1d5ce144da02a4c968240833d08”h2NhNh3Œ
ruby >=2.5”…”h9hºh@ŒMIT”hBŒMIT”hDGA×üÊVhEMš½hFˆubh)”}”(hŒjupyterlab-vega2”h#Œ3.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+jupyterlab-vega2-3.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 6ddeffb1c6e3f42bcc623ee2c160743a”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-vega2-3.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@37b029f1b431de7c324bd98a7d8898e4ae375540eabc6371870e61f94fe83b4e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØy°+¼1hEJþ hFˆubh)”}”(hŒr-shinycssloaders”h#Œ1.0.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ-r-shinycssloaders-1.0.0-r42hc72bb7e_1.tar.bz2”h+Œ e50fda791b58c0461437e2f06e004337”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-shinycssloaders-1.0.0-r42hc72bb7e_1.tar.bz2”h0Œ@ed3c6b7285cc4741df551419d58cddfc9a877fa45b62c9d43a40b05762f07ad4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-glue”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑF®Ðå`hEJº> hFˆubh)”}”(hŒr-tfdatasets”h#Œ2.9.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-tfdatasets-2.9.0-r40hc72bb7e_0.tar.bz2”h+Œ 7e49b33b345a9094472a062c0d9e40e6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tfdatasets-2.9.0-r40hc72bb7e_0.tar.bz2”h0Œ@9955df11f990fb4dd18cee4d85b12b67ba4f1020f5cf4e1b669daf9d69aec8fd”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-generics”Œ
r-magrittr”Œr-reticulate >=1.10”Œr-rlang”Œr-tensorflow >=1.13.1”Œr-tfestimators”Œr-tidyselect”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¯AÄÖ$ÝhEJ	6 hFˆubh)”}”(hŒjinja2_pluralize”h#Œ0.3.0”h%Œpy_0”h'K hhh(h)hŒ#jinja2_pluralize-0.3.0-py_0.tar.bz2”h+Œ 8ba6906d72c089bcfd0e6446bf3e4348”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/jinja2_pluralize-0.3.0-py_0.tar.bz2”h0Œ@cb2b8ee7ed356df11a5955cc032d5827fd97193f4cdd8119d421e0f8c99a2df0”h2NhNh3Œinflect >=0.2.4”Œjinja2 >=2.4”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×5adÝ/hEM\hFˆubh)”}”(hŒrainflow”h#Œ3.0.1”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ#rainflow-3.0.1-pyhd3deb0d_0.tar.bz2”h+Œ 1347a55f44f9eb222b687055192e2ba3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rainflow-3.0.1-pyhd3deb0d_0.tar.bz2”h0Œ@0d82e583e63d0512a3b0d611d5b59ab5778705651a120ce81ce8b1a567ce7ab0”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×í‰5®—hEMÅ!hFˆubh)”}”(hŒ	r-decoder”h#Œ1.2.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ%r-decoder-1.2.2-r35h6115d3f_0.tar.bz2”h+Œ d103c080d2f216e745be47debef14c35”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-decoder-1.2.2-r35h6115d3f_0.tar.bz2”h0Œ@50606e52bdd5516b3659332a0226cd60d56513df2bc2eb80d5e55a15d1068b0c”h2NhNh3Œr-backports”Œr-base >=3.5,<3.6.0a0”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¨™AÛ#hEJŒÁ hFˆubh)”}”(hŒcopy-jdk-configs-cos7-ppc64le”h#Œ3.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7copy-jdk-configs-cos7-ppc64le-3.3-h9d98e8f_1104.tar.bz2”h+Œ 538c3773ffa774bbaa8d79aaa56c8cdd”h.Œehttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-ppc64le-3.3-h9d98e8f_1104.tar.bz2”h0Œ@66c5996197d048069cc38651a4347cfcfd5a0759a3917cbf2b3cf43881dbb4e0”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉyÃ¢=qhEMÍ%hFˆubh)”}”(hŒr-rfutilities”h#Œ2.1_5”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-rfutilities-2.1_5-r36h6115d3f_1.tar.bz2”h+Œ 4e58c87af258a5d606c14667389b55b4”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rfutilities-2.1_5-r36h6115d3f_1.tar.bz2”h0Œ@885bb3ad7a9ae483842096f5cb93bd70c558a9652ac6c285e451f0d94587d9ce”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”Œr-randomforest >=4.6_12”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬_\jhEJtÉ hFˆubh)”}”(hŒasdf-standard”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(asdf-standard-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 2ca9474f64f29a1c2f9cef1462fb99e4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/asdf-standard-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@e190f2331114c9d79f7aa061d868febb3dce72548d8621f0232d638e887c8d9b”h2NhNh3Œimportlib-resources >=3”Œpython >=3.8”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¼ža™šhEM‰„hFˆubh)”}”(hŒ	r-cnogpro”h#Œ1.1”h%Œ	r351_1000”h'Mèhhh(h)hŒr-cnogpro-1.1-r351_1000.tar.bz2”h+Œ bb488e50ac4602ed3addb59443b62799”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-cnogpro-1.1-r351_1000.tar.bz2”h0Œ@07e18bbd0daf2dbd6eee4ef50addf4cdfef6074ac908cbd43fa47fa293c83ddd”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-seqinr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖþã‰ÊÁhEJw¿ hFˆubh)”}”(hŒfontconfig-cos6-x86_64”h#Œ2.8.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ2fontconfig-cos6-x86_64-2.8.0-h9b0a68f_1105.tar.bz2”h+Œ e7a5c174d0607962a06e314bfa78c894”h.Œ`https://conda.anaconda.org/conda-forge/noarch/fontconfig-cos6-x86_64-2.8.0-h9b0a68f_1105.tar.bz2”h0Œ@a22caa39bb6b9651dc78dd9d7b61f46f853c8ce6d1e92dcfbc4e121217dcf324”h2NhNh3Œ#freetype-cos6-x86_64 >=2.1.4 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Z$®hEJ¹Ñ hFˆubh)”}”(hŒr-momr”h#Œ1.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ r-momr-1.1-r40hc72bb7e_1.tar.bz2”h+Œ 827bdc18f614dc740e7820b1b97e5666”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-momr-1.1-r40hc72bb7e_1.tar.bz2”h0Œ@91fdb3995ec47f7329f448042712ef25615361e6c3d5b21d8787752cf18be552”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-gplots”Œr-hmisc”Œ	r-nortest”t”h9hºh@ŒArtistic-2.0 (Restricts use)”hBŒOTHER”hDGAØ,$ÂhEJŸ©e hFˆubh)”}”(hŒmcerp”h#Œ0.12”h%Œpy_1”h'Khhh(h)hŒmcerp-0.12-py_1.tar.bz2”h+Œ c8fb6cceb0d0cbcc163893098123da85”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/mcerp-0.12-py_1.tar.bz2”h0Œ@ce2f7bcddd4b222a8327efcec29b385c465ff696edb9b7ace63b91bbad446a00”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‘æË1hshEM€_hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_1”h'Khhh(h)hŒ fenics-ffc-2019.1.0-py_1.tar.bz2”h+Œ f2418984ba0b137d92e967d6ec80ef19”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_1.tar.bz2”h0Œ@c7c20a822c6b033c1cefd3182f1d9e4889831c26343cb0469e50f94906a9423c”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×2©¸RhEJlá hFˆubh)”}”(hŒglib2-cos6-x86_64”h#Œ2.28.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ.glib2-cos6-x86_64-2.28.8-ha826a6f_1103.tar.bz2”h+Œ efa964428829282ae81c1ad2f08b2484”h.Œ\https://conda.anaconda.org/conda-forge/noarch/glib2-cos6-x86_64-2.28.8-ha826a6f_1103.tar.bz2”h0Œ@5c2153b54fc8cec54e10e1c34523b55c894d93a0556c04f5c8ed1364bc066f65”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ0–	©ühEJ
S hFˆubh)”}”(hŒ	chemspipy”h#Œ2.0.0”h%Œpy_0”h'K hhh(h)hŒchemspipy-2.0.0-py_0.tar.bz2”h+Œ 36273af80677165e368d46fca40adf7b”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/chemspipy-2.0.0-py_0.tar.bz2”h0Œ@9e89dcd2d461620153743e63bbeab9fab4332be6fda4790e078b64f7d87f890b”h2NhNh3Œpython”Œrequests”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖåc‘’MÓhEMì;hFˆubh)”}”(hŒnapari-sift-registration”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3napari-sift-registration-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 14bb6bd49d6d023c0ded8b73227ee9bc”h.Œahttps://conda.anaconda.org/conda-forge/noarch/napari-sift-registration-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e18ffa317d0722238ea93f5bb001d16e6b5d6912c0a012819d48edd1bf33ece9”h2NhNh3(Œmagicgui”Œnapari”Œnumpy”Œpython >=3.8”Œqtpy”Œscikit-image”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¿•tÈ´hEMâ,hFˆubh)”}”(hŒr-nsga2r”h#Œ1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-nsga2r-1.1-r40hc72bb7e_0.tar.bz2”h+Œ 0edbdda5223f9aceaee4e13f70083b3a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-nsga2r-1.1-r40hc72bb7e_0.tar.bz2”h0Œ@338b6660b6e04f33c7a46cbf15b1705e1825a61e754bf888031d436813df4a55”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mco”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ¢ïø£×hEM¾hFˆubh)”}”(hŒpyttoresque”h#Œ0.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pyttoresque-0.5.4-pyhd8ed1ab_0.tar.bz2”h+Œ fc5dbb7b16a7b5d0d5628a64edf9c1a9”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pyttoresque-0.5.4-pyhd8ed1ab_0.tar.bz2”h0Œ@7dc60525976f7c94fa88c91ba2239f4e93ed8ddab21033f932491f9547df8345”h2NhNh3(Œaiohttp”Œ
datashader”Œ	holoviews”Œjupyter-server-proxy”Œ
jupyterlab”Œnumpy”Œpanel”Œplotly”Œpycapnp”Œpython >=3.6”t”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAØE ó¶hEJx8 hFˆubh)”}”(hŒpyroute2.ipset”h#Œ0.6.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*pyroute2.ipset-0.6.13-pyhd8ed1ab_0.tar.bz2”h+Œ 2db4256efc8ed17162c5403f6f06a553”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pyroute2.ipset-0.6.13-pyhd8ed1ab_0.tar.bz2”h0Œ@47c19189ba6b48b596f0a7dd5a7bc8ce9b0cc274e805699796ad3be45a4e9be9”h2NhNh3Œpyroute2.core”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ­Qd*~úhEMìzhFˆubh)”}”(hŒr-nozzle.r1”h#Œ1.1_1.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ)r-nozzle.r1-1.1_1.1-r41ha770c72_1.tar.bz2”h+Œ 1c1b11b5ff6a2a407adb868df89b1b82”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-nozzle.r1-1.1_1.1-r41ha770c72_1.tar.bz2”h0Œ@2b33755aa45f00daf43c801ef906d8da62c2e946b6ab6b3aaabda88523eb8cb4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.0-only”hBŒLGPL”hDGAØÒE×Åp¤hEJTä hFˆubh)”}”(hŒpari-seadata-small”h#Œ0.0.20090618”h%j3G h'K hhh(h)hŒ)pari-seadata-small-0.0.20090618-0.tar.bz2”h+Œ 12a9d2c1e790c7e105d50c502b10161f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pari-seadata-small-0.0.20090618-0.tar.bz2”h0Œ@1d95a97778b30a8579e1dbd87678250b94e30e1bed94324d44b1c44aa6b3f87a”h2NhNh3)h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGA×QÒ-¸hEJÐu	 hFˆubh)”}”(hŒr-functional”h#Œ0.6”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ)r-functional-0.6-r41ha770c72_1002.tar.bz2”h+Œ 20fc036451ecc312bb99170249b48832”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-functional-0.6-r41ha770c72_1002.tar.bz2”h0Œ@696d96f6f9f2ac3ae945308f7c97b90a9048db21e0d1e538ac70dd61c96c0f69”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ãB^5hEM–{hFˆubh)”}”(hŒr-dunn.test”h#Œ1.3.5”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ*r-dunn.test-1.3.5-r41hc72bb7e_1003.tar.bz2”h+Œ 2780ed1e000f24156e0bc4917a22f372”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-dunn.test-1.3.5-r41hc72bb7e_1003.tar.bz2”h0Œ@37d7d5e9761d0d0b76937761ff2e39e1502e141d1e6d2c37c5928f2777321004”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØs	l‹hEJ hFˆubh)”}”(hŒr-shinyheatmaply”h#Œ0.2.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-shinyheatmaply-0.2.0-r41hc72bb7e_1.tar.bz2”h+Œ beb4ef44eadc2e9081c2cb0b09f38f0e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinyheatmaply-0.2.0-r41hc72bb7e_1.tar.bz2”h0Œ@508460fa3f4cf20fdd87276df66d6695ec406b7704ec4faf4f32ea97ec205a69”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-heatmaply >=1.0.0”Œr-htmltools”Œr-plotly”Œr-readxl”Œr-rmarkdown”Œr-shiny”Œr-xtable”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒlŽÈ´hEJ9$ hFˆubh)”}”(hŒlibx11-common-cos7-aarch64”h#Œ1.6.7”h%Œh1795305_1101”h'MMhhh(h)hŒ6libx11-common-cos7-aarch64-1.6.7-h1795305_1101.tar.bz2”h+Œ 978fc851f94f75ceead90042ed63a20d”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-aarch64-1.6.7-h1795305_1101.tar.bz2”h0Œ@a4536ffba6c1b8e20acee7e97a975eae9ec9a2110af15599cb8d35c288389542”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å=ÒáHhEJŠ" hFˆubh)”}”(hŒlibthai-cos7-aarch64”h#Œ0.1.14”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libthai-cos7-aarch64-0.1.14-h9d98e8f_104.tar.bz2”h+Œ f83417cfc1f0afa40a5c8154231e81f5”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libthai-cos7-aarch64-0.1.14-h9d98e8f_104.tar.bz2”h0Œ@65480f5aabf44ce6b9deac3f63033e88d3659fc67084cb35f9740c582507ca76”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Éyrk×
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GPL (>= 3)”hBŒGPL3”hDGAØ*ú[á&éhEMÝ„hFˆubh)”}”(hŒmixsimulator”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'mixsimulator-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 890ca5679c60abf85d3f66f412816ef4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/mixsimulator-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@939dd1fc0a3d9b6ca23272b7fcac0581b4b4148b898999d5d1f2576a4bd4bd08”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ#SÔZhEMÅIhFˆubh)”}”(hŒ	r-opennlp”h#Œ0.2_7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-opennlp-0.2_7-r40hc72bb7e_0.tar.bz2”h+Œ 12e8f4ce3d322da171c4dc64c8b77138”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-opennlp-0.2_7-r40hc72bb7e_0.tar.bz2”h0Œ@7a858253b3f4c1d75753503b52055d3b25bef7b32a88fa56581022fda167b8f9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-nlp >=0.1_6.3”Œr-opennlpdata >=1.5.3_1”Œr-rjava >=0.6_3”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+;QìhEJ÷ hFˆubh)”}”(hŒpyhdb”h#Œ0.3.4”h%Œpy_0”h'K hhh(h)hŒpyhdb-0.3.4-py_0.tar.bz2”h+Œ c2bd595a7c69f236aba6f0041a7760d7”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/pyhdb-0.3.4-py_0.tar.bz2”h0Œ@1e3d86a0a4554945d2297210bfb6b6edd6dcc96b37c27c2054495b334153f729”h2NhNh3Œpython”…”h9h?h@ŒApache Software”hBŒAPACHE”hDGA×÷éûçhEMl£hFˆubh)”}”(hŒr-sparselda”h#Œ0.1_9”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ*r-sparselda-0.1_9-r42hc72bb7e_1003.tar.bz2”h+Œ e0687c62cb6270ed734990a5be92982e”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-sparselda-0.1_9-r42hc72bb7e_1003.tar.bz2”h0Œ@8c86d28d60ec194306d100e2ec4080de0c0ce4739bfb534e768032028cee3162”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-elasticnet”Œr-mass”Œr-mda”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ¹¶ffhEJ hFˆubh)”}”(hŒr-iswr”h#Œ2.0_8”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-iswr-2.0_8-r41hc72bb7e_2.tar.bz2”h+Œ c5851bf55f0dbc1bf537a23a37f87922”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-iswr-2.0_8-r41hc72bb7e_2.tar.bz2”h0Œ@10c06a1716290bedd63e54489393b7fa910cd3c80303c7ecc66308676f47c6ad”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ¢ê%VhEJ±€ hFˆubh)”}”(hŒr-clisymbols”h#Œ1.2.0”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ,r-clisymbols-1.2.0-r351h6115d3f_1001.tar.bz2”h+Œ f590051b22981c21e34b14f135b357cd”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-clisymbols-1.2.0-r351h6115d3f_1001.tar.bz2”h0Œ@fbc199f9b97b8a3d1548e408fbeb3ba5262cc45f18281d9aea9ac248c01ce958”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAÖüº	ûçhEMv[hFˆubh)”}”(hŒ
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r-treebase”h#Œ0.1.4”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-treebase-0.1.4-r36h6115d3f_0.tar.bz2”h+Œ 793b23e0b9a1e9e9aa5c4f028543f2be”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-treebase-0.1.4-r36h6115d3f_0.tar.bz2”h0Œ@c46cccf220aaa051a9d40b55d4dfdf726192f87194b933ca7c0e162930ee415a”h2NhNh3(Œr-ape”Œr-base >=3.6,<3.7.0a0”Œr-httr”Œr-rcurl”Œr-xml”t”h9hºh@ŒCC0-1.0”hBŒCC”hDGA×ÆØ¼ÌÍhEJ…B hFˆubh)”}”(hŒr-rdpack”h#Œ2.4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-rdpack-2.4-r41hc72bb7e_1.tar.bz2”h+Œ 0b646664329939306df925836de9690c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rdpack-2.4-r41hc72bb7e_1.tar.bz2”h0Œ@62b1223a495f7e545ec9a42089763a86b7c5ba76969ff74e30cedd45b89ff197”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gbrd”Œr-rbibutils >=1.3”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐÍñ’JhEJà hFˆubh)”}”(hŒrequests-aws4auth”h#Œ1.1.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ,requests-aws4auth-1.1.0-pyh6c4a22f_0.tar.bz2”h+Œ 4d9a0366bfc3c5830db01602c539191b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/requests-aws4auth-1.1.0-pyh6c4a22f_0.tar.bz2”h0Œ@d5c6fbb33edef5216b2ceb9e5876bf553d45d842cd2b05f8b21cef6b21bc29dd”h2NhNh3Œpython”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ*ùRJÀƒhEM=[hFˆubh)”}”(hŒr-bucss”h#Œ1.2.1”h%Œr41h785f33e_1”h'Khhh(h)hŒ#r-bucss-1.2.1-r41h785f33e_1.tar.bz2”h+Œ dc9b83c48896f194e2e579a2aa1796d0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bucss-1.2.1-r41h785f33e_1.tar.bz2”h0Œ@16319653c2296e0cbb7b3e859477778041a704e5978e8e1c1b3e115da64609f5”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÒ¢6t¼hEJj hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyhc268e32_4”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyhc268e32_4.tar.bz2”h+Œ fe8f3e521eda5f2236cadb320bca9dd1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyhc268e32_4.tar.bz2”h0Œ@5f5c17765d4be0ddd547df5e8fcc9e7ebcec355d639b93090082ec793a397194”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
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ñŠÐåhEMõ°hFˆubh)”}”(hŒjupyter”h#Œ1.0.0”h%Œpy_1”h'Khhh(h)hŒjupyter-1.0.0-py_1.tar.bz2”h+Œ 6ee422b00ff93912cf79c6946162cced”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/jupyter-1.0.0-py_1.tar.bz2”•      h0Œ@6628fe7bb50b8691172d0ae58ca3a98db66df18054323e1aea6b1f07e482d743”h2NhNh3(Œ	ipykernel”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×¬8241hEJ¸& hFˆubh)”}”(hŒsuitcase-utils”h#Œ0.5.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)suitcase-utils-0.5.3-pyhd8ed1ab_1.tar.bz2”h+Œ 0d0bf49ee42fd8a6c5c287d1007ab19a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/suitcase-utils-0.5.3-pyhd8ed1ab_1.tar.bz2”h0Œ@e14c6e0835016cf8869358c94983c629a92e53879d05b2c10738ec11338fb666”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ\g\)hEMQ2hFˆubh)”}”(hŒr-slippymath”h#Œ0.3.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-slippymath-0.3.1-r41hc72bb7e_2.tar.bz2”h+Œ de9c118ec09ab2400102510ad8535f66”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-slippymath-0.3.1-r41hc72bb7e_2.tar.bz2”h0Œ@f6c6270bb524bdffaf8421db7a270eaa42a26304811d6bcc6f7e3d799258b406”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-png”Œr-purrr”Œr-raster”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑFªnùÛhEJ¿é" hFˆubh)”}”(hŒr-forge”h#Œ0.2.0”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ#r-forge-0.2.0-r42hc72bb7e_4.tar.bz2”h+Œ 06a9ab4414d1d520eabf4d43123071ba”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-forge-0.2.0-r42hc72bb7e_4.tar.bz2”h0Œ@b789afb4e52ace73238a392505426ea5390ce4f4bb5bfee1f0f362c352281d0d”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-magrittr”Œr-rlang >=0.3.1”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÔ­U_®hEMÑhFˆubh)”}”(hŒpystencils-reco”h#Œ0.2.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ*pystencils-reco-0.2.0-pyhd8ed1ab_1.tar.bz2”h+Œ 4e8118b939567edcc818538e8666ccbe”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pystencils-reco-0.2.0-pyhd8ed1ab_1.tar.bz2”h0Œ@01b978c790b1802295ee80ad073d6ca4db4e93547cec6249c3e508fd69c3ad68”h2NhNh3(Œjinja2”Œnumpy”Œpystencils-autodiff >=0.3.2”Œpython >=3.6”Œscikit-image”Œtqdm”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ3/Ô%hEM;”hFˆubh)”}”(hŒlibnl-cos7-aarch64”h#Œ1.1.4”h%Œh2da7399_100”h'Kdhhh(h)hŒ-libnl-cos7-aarch64-1.1.4-h2da7399_100.tar.bz2”h+Œ 2e58cd656589ec86dc3382f8dee8fb65”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-aarch64-1.1.4-h2da7399_100.tar.bz2”h0Œ@c2c098e1ea872df5b8e354bec376dfe3a659b91fb8459e97e39d72203515b719”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Äys?}hEJ¾8 hFˆubh)”}”(hŒlemminflect”h#Œ0.2.2”h%Œpyh8a188c0_0”h'K hhh(h)hŒ&lemminflect-0.2.2-pyh8a188c0_0.tar.bz2”h+Œ ce1d6788e1f86caa782430c06b3739cb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/lemminflect-0.2.2-pyh8a188c0_0.tar.bz2”h0Œ@fb891496658d95bbf2ff249525ac69e6ddc4b948b8f46c6c332e08ce9e0b5d42”h2NhNh3Œnumpy >=1.19.5,<2.0a0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ@¨Ú/hEJœÚ hFˆubh)”}”(hŒextranormal3”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'extranormal3-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ e2f136e35b7cae017f83aa3e5557ee80”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/extranormal3-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@357fbbfe60dc347392d48087ce325d0f4ed50e17d40472f2f11813bf416c83c5”h2NhNh3Œpython >=3.6”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ…ÅP£×hEM;bhFˆubh)”}”(hŒneo4j-connector”h#Œ1.0.1”h%Œpy_0”h'K hhh(h)hŒ"neo4j-connector-1.0.1-py_0.tar.bz2”h+Œ 5e18fd8145fbd94b38c46b5aa62cc345”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/neo4j-connector-1.0.1-py_0.tar.bz2”h0Œ@c989c3ec475ecbfeca9f9d91d4c06f5795df64d1245f51b19f700c4df6c2f632”h2NhNh3Œpython”Œrequests <3.0,>=2.0”†”h9h?h@ŒMIT”hBŒMIT”hDGA×Y©wº~úhEMÊ!hFˆubh)”}”(hŒsingularity-compose”h#Œ0.1.18”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/singularity-compose-0.1.18-pyhd8ed1ab_0.tar.bz2”h+Œ 5c62e6cbad2b79ad09a397ac6b451ff9”h.Œ]https://conda.anaconda.org/conda-forge/noarch/singularity-compose-0.1.18-pyhd8ed1ab_0.tar.bz2”h0Œ@5d64db13deb9089ecab48918f16e4626b01a9b51e0facc6eabbc6efac1ce66c4”h2NhNh3Œ
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pynetdicom”h#Œ2.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pynetdicom-2.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3121d582422c72b4d321bb36a25365aa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pynetdicom-2.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@a19106ba02d93c52f8386a91cc34336793721e07cc0b4a26e0969cbbc3664549”h2NhNh3Œpydicom >=2.0.0”Œpython >=3.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ˜ð)™šhEJÅ hFˆubh)”}”(hŒrb-jekyll-environment-variables”h#Œ1.0.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ8rb-jekyll-environment-variables-1.0.1-hc42de5b_0.tar.bz2”h+Œ 1aa76bac82d4ad6a998ca37b6dd03464”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/rb-jekyll-environment-variables-1.0.1-hc42de5b_0.tar.bz2”h0Œ@fed37bf330835c31cb574c49ddd7acb86a1f271129fdf3aef387d6963b70c756”h2NhNh3Œrb-jekyll >=3.0,<5”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×]PÆaXhEMb hFˆubh)”}”(hŒneurodsp”h#Œ2.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#neurodsp-2.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ b99149ca2f9f161280520445a710b8e4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/neurodsp-2.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8736e4ffd031d1ac12e1ca776eaedeccfcb6b211cfd323b1b4a335764a8804e2”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.5”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÊêqxÕhEJ;0 hFˆubh)”}”(hŒscherbelberg”h#Œ0.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'scherbelberg-0.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 81a0b99e2a26c8a9f1d550e2143668f4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/scherbelberg-0.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@812c5295156ce9e29831ad3396645d3a5b790d28a95f0ae0831a0dfbcacabd06”h2NhNh3(Œclick”Œdask”Œhcloud”Œpython >=3.8”Œpyyaml”Œtabulate”Œ	typeguard”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ›·L1hEMshFˆubh)”}”(hŒmesa-libegl-cos7-x86_64”h#Œ18.3.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ4mesa-libegl-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h+Œ 3c88db9748c93997b95b31ba06705e10”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-x86_64-18.3.4-ha826a6f_1103.tar.bz2”h0Œ@3174bb31d03ce0a109fff79e0e29971c553ff75f248340006bd7382e8a394485”h2NhNh3Œ'mesa-libgbm-cos7-x86_64 ==18.3.4 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2h÷ÎÙhEJûµ hFˆubh)”}”(hŒ	r-rccmisc”h#Œ0.3.7”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ(r-rccmisc-0.3.7-r40h6115d3f_1002.tar.bz2”h+Œ f2964e0bb300f069ea384adda7b54277”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rccmisc-0.3.7-r40h6115d3f_1002.tar.bz2”h0Œ@b7956c414ca4c646677c8ca2cf24ee4d337e97319f41fba692e4c4979802859b”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-dplyr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬dÖ™º^hEJ¿[ hFˆubh)”}”(hŒ
r-dendsort”h#Œ0.3.4”h%Œr41ha770c72_0”h'K hhh(h)hŒ&r-dendsort-0.3.4-r41ha770c72_0.tar.bz2”h+Œ 261576c397388822b58c49b1e4ba97cb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dendsort-0.3.4-r41ha770c72_0.tar.bz2”h0Œ@c88ab314be14fb12b1d233ffbd9bf69ff1967a3adf1a67f56091f2dc958e53c9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ++ùÖE¢hEJÚ\ hFˆubh)”}”(hŒdcm2bids”h#Œ2.1.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#dcm2bids-2.1.9-pyhd8ed1ab_0.tar.bz2”h+Œ e4cf212f1d24ead66a6e58858befdaa1”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/dcm2bids-2.1.9-pyhd8ed1ab_0.tar.bz2”h0Œ@8d2424c8d24d8a51811fa6f002c0efc032c9cf04ca32578ea284a4b7c224d349”h2NhNh3Œfuture >=0.17.1”Œpython >=3.5”†”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ«ðt QìhEMû…hFˆubh)”}”(hŒlibnl-cos7-aarch64”h#Œ1.1.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libnl-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h+Œ 5e1ccf430f86e61c6e1c60138f1e2326”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-aarch64-1.1.4-h9d98e8f_1104.tar.bz2”h0Œ@7dd7e59ba73aba5936858514a8c6653353fc8c01fbf237c12f7f223341ea3937”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Éz}‹…hEJR: hFˆubh)”}”(hŒpybv”h#Œ0.7.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpybv-0.7.5-pyhd8ed1ab_0.tar.bz2”h+Œ ed93945608ac797c426092c869702100”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pybv-0.7.5-pyhd8ed1ab_0.tar.bz2”h0Œ@956b586cbb8added0df8ca663f2535477207dbed3a12c4a74e139bf51e8c53d9”h2NhNh3Œnumpy >=1.18.1”Œpython >=3.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÕ¯ù#t¼hEMÿ`hFˆubh)”}”(hŒr-nycflights13”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ*r-nycflights13-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ ea0fcabf0a7402c8f995ed78addd75da”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-nycflights13-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@4c114d8e949eb6fb42c33a3418f22658183674eaeb87cbb4a4cdce985f7d2975”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØ+eMKC–hEJsaE hFˆubh)”}”(hŒr-naepirtparams”h#Œ1.0.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-naepirtparams-1.0.0-r40hc72bb7e_0.tar.bz2”h+Œ b91fdee332b36fd15d9e23dbc5ff1ea0”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-naepirtparams-1.0.0-r40hc72bb7e_0.tar.bz2”h0Œ@7c461007c05d74d0512c1e5506016fb88a4915423591f6dd07a1e48eb0f702e2”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ=€ ©‡hEJ) hFˆubh)”}”(hŒ
r-tableone”h#Œ0.13.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-tableone-0.13.2-r42hc72bb7e_1.tar.bz2”h+Œ 8c29bff25b613f353db74bfad81be39c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tableone-0.13.2-r42hc72bb7e_1.tar.bz2”h0Œ@bcca1a00b826d67b66e3804fb1703e9973d59cd318e553dc8f2fa90110e9441b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-e1071”Œ	r-gmodels”Œ
r-labelled”Œr-mass”Œr-nlme”Œr-survey”Œr-zoo”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑýþ_
=hEJ/> hFˆubh)”}”(hŒjupyter-kernel-singular”h#Œ0.9.9”h%Œpy_0”h'K hhh(h)hŒ*jupyter-kernel-singular-0.9.9-py_0.tar.bz2”h+Œ a623e933e33399f6621ad28715dbac92”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/jupyter-kernel-singular-0.9.9-py_0.tar.bz2”h0Œ@ef8fa85f1531e583a18ae99292751c6a216f1f93a525c48465ca5332584a3068”h2NhNh3Œ
pysingular”Œpython”†”h9h?h@ŒGPL-2.0-or-later”hBŒGPL”hDGA×RIåbn˜hEMŠYhFˆubh)”}”(hŒnss-cos6-x86_64”h#Œ3.36.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ+nss-cos6-x86_64-3.36.0-h9d98e8f_104.tar.bz2”h+Œ 5cc95f865c330b65ceaba3309961ad6f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/nss-cos6-x86_64-3.36.0-h9d98e8f_104.tar.bz2”h0Œ@36b0a862af1729918b6a9b3215cddd658cd4edb021a36048875e5491e97b114a”h2NhNh3Œnspr-cos6-x86_64 >=4.19.0 *_104”Œ&nss-softokn-cos6-x86_64 >=3.14.3 *_104”Œ#nss-util-cos6-x86_64 >=3.36.0 *_104”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É}&ü“hEJZ2 hFˆubh)”}”(hŒr-bmp”h#Œ0.3”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ"r-bmp-0.3-r40h6115d3f_1003.tar.bz2”h+Œ a202b9d91b07574d53f4bd3a7370ab70”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-bmp-0.3-r40h6115d3f_1003.tar.bz2”h0Œ@da1da43bf6fb779a00e91e4a2a11a0d368b7979e24797615fe8628c2594f84f2”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬"¸Ê¬hEJmÌ hFˆubh)”}”(hŒr-thinkr”h#Œ0.16”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-thinkr-0.16-r41hc72bb7e_1.tar.bz2”h+Œ c533f62475918534aca94b631c581011”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-thinkr-0.16-r41hc72bb7e_1.tar.bz2”h0Œ@88d66c90c3ed96a11b109136320da5f2e6b16200cd2725c0b8a17eca38e4f8a1”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œ
r-devtools”Œr-dplyr”Œ	r-ggplot2”Œ
r-lazyeval”Œr-lubridate”Œ
r-magrittr”Œ	r-officer”Œr-purrr”Œr-readr”Œr-rvg”Œ	r-stringi”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ´oKÇhEJ# hFˆubh)”}”(hŒijroi”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒijroi-0.4.0-py_0.tar.bz2”h+Œ 89b945808c5e83c1a982817c22c76593”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/ijroi-0.4.0-py_0.tar.bz2”h0Œ@d331a43c119151c20421d60132e6a99b2b6d97dc9a046058a0577966319baa53”h2NhNh3Œnumpy”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hEM“,hFˆubh)”}”(hŒdynamicisttoolkit”h#Œ0.5.3”h%Œpy_1”h'Khhh(h)hŒ$dynamicisttoolkit-0.5.3-py_1.tar.bz2”h+Œ 7af251ba9fad755862fbea2aafe4445b”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/dynamicisttoolkit-0.5.3-py_1.tar.bz2”h0Œ@a5c33651f599558f9eb56ad2ceb67fa19fd99ccdb7fb0391baf2ee2996782a43”h2NhNh3(Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÑq—,“hEJX hFˆubh)”}”(hŒatk-devel-cos6-x86_64”h#Œ1.30.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ1atk-devel-cos6-x86_64-1.30.0-h9d98e8f_104.tar.bz2”h+Œ 4f100d5e764527bc4eb4c4847ded0f84”h.Œ_https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos6-x86_64-1.30.0-h9d98e8f_104.tar.bz2”h0Œ@c51c1f723f887738dde66cc2680c40b5330bc9fdb41af092560248a01207c486”h2NhNh3Œatk-cos6-x86_64 ==1.30.0 *_104”Œ%glib2-devel-cos6-x86_64 >=2.6.0 *_104”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É|™£çmhEJ‡ hFˆubh)”}”(hŒlibxi-devel-cos7-ppc64le”h#Œ1.7.9”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4libxi-devel-cos7-ppc64le-1.7.9-hdf0574f_1102.tar.bz2”h+Œ 89d229a5e3cc7524cee0ac5ce05be55e”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxi-devel-cos7-ppc64le-1.7.9-hdf0574f_1102.tar.bz2”h0Œ@c4730be4390a7a739fd4efb5eef1274a6eefffd26812071ea811f40696b68b24”h2NhNh3Œ!libxi-cos7-ppc64le ==1.7.9 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ`R¬hEJÞr hFˆubh)”}”(hŒr-tfprobability”h#Œ0.15.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-tfprobability-0.15.1-r41hc72bb7e_1.tar.bz2”h+Œ b891362907e9489dbaa0d9fd75288e5a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-tfprobability-0.15.1-r41hc72bb7e_1.tar.bz2”h0Œ@35f698b8020a1a3ee5a12cf21da3e09c9b08d7dbade3f2619315a78d1a321d05”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-keras”Œ
r-magrittr”Œr-reticulate”Œr-tensorflow >=2.2.0”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÑ÷‚LZhEJ5s! hFˆubh)”}”(hŒhttp3”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒhttp3-0.1.1-py_0.tar.bz2”h+Œ 6b2d036d2bac2eb5cc0589bc43192591”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/http3-0.1.1-py_0.tar.bz2”h0Œ@3b0d87f8cb882fd1e3cdc5ef7d41b780b1de43837c7faefd872ebac105a6f98d”h2NhNh3(Œcertifi”Œchardet 3.*”Œ	h11 0.8.*”Œh2 3.*”Œidna 2.*”Œpython >=3.6”Œrfc3986 1.*”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×C6æç hEMEshFˆubh)”}”(hŒr-genabel.data”h#Œ1.0.0”h%Œr36_1003”h'Mëhhh(h)hŒ%r-genabel.data-1.0.0-r36_1003.tar.bz2”h+Œ 6aea8e60c7f0fad6a6eb175606a4a41e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-genabel.data-1.0.0-r36_1003.tar.bz2”h0Œ@664dca1a5b89aff636c8f0db744bf460fd7b35fadf370ec72aed931d2db8582d”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×¬(ª¸õÃhEJyi% hFˆubh)”}”(hŒr-egg”h#Œ0.4.5”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ!r-egg-0.4.5-r42hc72bb7e_3.tar.bz2”h+Œ 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ddb442a03d8f89e04b6724b679284dc5”h.Œchttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-aarch64-1.15.12-h9d98e8f_104.tar.bz2”h0Œ@d501fe402a84f4e6829ddae9eeab4f21ce43672cd11fa4bcd7207d9c21e412e3”h2NhNh3Œ"cairo-cos7-aarch64 ==1.15.12 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×É{cžffhEJjÈ hFˆubh)”}”(hŒlibnl-devel-cos6-x86_64”h#Œ1.1.4”h%Œh2da7399_1100”h'MLhhh(h)hŒ3libnl-devel-cos6-x86_64-1.1.4-h2da7399_1100.tar.bz2”h+Œ 40323c66175ba47db658ea908c898819”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos6-x86_64-1.1.4-h2da7399_1100.tar.bz2”h0Œ@620b6c86687ff856d60338b3f8772465f1c700e71ea1bae098bdfa649d70f3de”h2NhNh3Œlibnl-cos6-x86_64 1.1.4”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Äyˆ¢áHhEJG	 hFˆubh)”}”(hŒnss-softokn-freebl-cos7-aarch64”h#Œ3.44.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ;nss-softokn-freebl-cos7-aarch64-3.44.0-h9b0a68f_105.tar.bz2”h+Œ 60869f4baadd195623fcb9aee6ce43b3”h.Œihttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-freebl-cos7-aarch64-3.44.0-h9b0a68f_105.tar.bz2”h0Œ@c10fef5a0385749bbdd3fbda174ceb929c1e2613dc6cac5dabedfa07164a5f19”h2NhNh3Œ nspr-cos7-aarch64 >=4.21.0 *_105”Œ$nss-util-cos7-aarch64 >=3.44.0 *_105”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@]ÂÎ{hEJd hFˆubh)”}”(hŒr-lfda”h#Œ1.1.3”h%Œr36h6115d3f_1”h'Khhh(h)hŒ"r-lfda-1.1.3-r36h6115d3f_1.tar.bz2”h+Œ e8fa3dfa449b8b571afe7fc27bd3ca04”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lfda-1.1.3-r36h6115d3f_1.tar.bz2”h0Œ@4ac773b9873cbd0e497724f9da73874a204e03872ccd633288a39ad90f4ef6a0”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-plyr”Œ	r-rarpack”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬H«¶FhEMëîhFˆubh)”}”(hŒaflow”h#Œ0.0.11”h%Œpy_0”h'K hhh(h)hŒaflow-0.0.11-py_0.tar.bz2”h+Œ 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r-sandwich”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØu‘IjÐåhEJj‰ hFˆubh)”}”(hŒ
email2pdf2”h#Œ0.0.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ%email2pdf2-0.0.3-pyhd8ed1ab_1.tar.bz2”h+Œ 01537faf24c77d2ba748dd593a8722d9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/email2pdf2-0.0.3-pyhd8ed1ab_1.tar.bz2”h0Œ@458dddbec85f399c244932f776b488c424dec5d7e0ff09a14009af66bf2fdf38”h2NhNh3(Œbeautifulsoup4 >=4.6.3”Œchardet”Œhtml5lib”Œlxml”Œpypdf3”Œpython >=3.6”Œpython-magic”Œ	reportlab”Œwkhtmltopdf”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‚›ðÂhEMÀNhFˆubh)”}”(hŒsysroot_linux-64”h#Œ2.17”h%Œh4a8ded7_11”h'Khhh(h)hŒ)sysroot_linux-64-2.17-h4a8ded7_11.tar.bz2”h+Œ 8d1becad6542639c38d9dc755d17c355”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.17-h4a8ded7_11.tar.bz2”h0Œ@e49801bcc9afcab4437f33f8329114146faa7af4b0bf130d1a96980f099b56ca”h2NhNh3Œ(_sysroot_linux-64_curr_repodata_hack 3.*”Œ*kernel-headers_linux-64 3.10.0 h4a8ded7_11”†”jy Œsysroot_linux-64_2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ< G‚JhEJ=ThFˆubh)”}”(hŒ
r-rematch2”h#Œ2.1.2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ&r-rematch2-2.1.2-r40hc72bb7e_1.tar.bz2”h+Œ 0c889ae7253c2c4cf6a5b484d871490f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r40hc72bb7e_1.tar.bz2”h0Œ@26fb2e5509b8d733a68c5b0ca90d0691dd35c8ca254795ff4775e65578545a83”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-tibble”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ+dUFvÉhEMóÑhFˆubh)”}”(hŒr-shinymanager”h#Œ1.0.410”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-shinymanager-1.0.410-r41hc72bb7e_0.tar.bz2”h+Œ 5540cceeb59b9212811fbeaa06738e3e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinymanager-1.0.410-r41hc72bb7e_0.tar.bz2”h0Œ@26e2008c26c6f3d47e5fc151935686d97827dcfa2a5b45e4d2bcea023c8b16f8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-billboarder”Œr-dbi”Œ
r-dt >=0.5”Œr-htmltools”Œ	r-openssl”Œ	r-r.utils”Œr-r6”Œ	r-rsqlite”Œr-scrypt”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÌ·èJáHhEJ‰…  hFˆubh)”}”(hŒr-vipor”h#Œ0.4.5”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-vipor-0.4.5-r36h6115d3f_1002.tar.bz2”h+Œ 40f70e332f5a14545fda743043a6ddb6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-vipor-0.4.5-r36h6115d3f_1002.tar.bz2”h0Œ@8785fecbe8bc39fd44f4c4310ceb6a9fde348f62fa25b800a31233fe31900fbb”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L[/0r°hEJ~'D hFˆubh)”}”(hŒjupyterlab-webrtc-docprovider”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ8jupyterlab-webrtc-docprovider-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ df681674fa6b47876964cae0c0030640”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-webrtc-docprovider-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@c200563fd932da0fa358214a0f060f7fe6b369f76c17778015306527cfb854e3”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ˜ÑBbÀƒhEJ9Å hFˆubh)”}”(hŒr-plsgenomics”h#Œ1.5_2”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ)r-plsgenomics-1.5_2-r40hc72bb7e_1.tar.bz2”h+Œ ea7a745e57ad7f29e911d32447c30ad8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plsgenomics-1.5_2-r40hc72bb7e_1.tar.bz2”h0Œ@72c16a0d17cee4ab7b3f261a628a7801dc5f2539526215a49a08c106dc5a4c42”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-fields”Œr-mass”Œr-plyr”Œ
r-reshape2”Œr-rhpcblasctl”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ÀzXbNhEJÓÕ hFˆubh)”}”(hŒnss-softokn-cos7-aarch64”h#Œ3.44.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4nss-softokn-cos7-aarch64-3.44.0-hdf0574f_102.tar.bz2”h+Œ 91542b61dc94a49dbb014dbb243f4172”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-aarch64-3.44.0-hdf0574f_102.tar.bz2”h0Œ@ac5e3be494f36fef9097e68dfd9f8d086d6a6f303034a08d8a05b9454cc760e5”h2NhNh3Œ nspr-cos7-aarch64 >=4.21.0 *_102”Œ$nss-util-cos7-aarch64 >=3.44.0 *_102”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+ÁÖ$ÝhEJ_1 hFˆubh)”}”(hŒr-purrrogress”h#Œ0.1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ)r-purrrogress-0.1.1-r36h6115d3f_1.tar.bz2”h+Œ 1f9f44f0fce6f6c2af96e17943c14517”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-purrrogress-0.1.1-r36h6115d3f_1.tar.bz2”h0Œ@7dd375d561cbb5245458b37e337aaa31ef57e0c1b5116abdbafbbc7f6b12ab94”h2NhNh3(Œr-assertthat”Œr-base >=3.6,<3.7.0a0”Œr-glue”Œr-hms”Œ	r-pkgcond”Œr-purrr”Œr-r6”Œr-rlang”Œr-testextra”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¯r§ÕÂhEJd; hFˆubh)”}”(hŒlibxml2-cos7-aarch64”h#Œ2.9.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ/libxml2-cos7-aarch64-2.9.1-hdf0574f_102.tar.bz2”h+Œ ba51a2c89f55e8bb66334b3aebe589c3”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-aarch64-2.9.1-hdf0574f_102.tar.bz2”h0Œ@070017375d836faba7739d7a457e3928188d36a72312cb10b7f359e7d52b0950”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åi>ør°hEJB©
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hd4c1694_0”h'K hhh(h)hŒ"rb-listen-3.2.1-hd4c1694_0.tar.bz2”h+Œ 24d171c4374f7257fdbaad389d2fe451”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-listen-3.2.1-hd4c1694_0.tar.bz2”h0Œ@dc20ff9ccd55f5822c7a03008febfba9a1a0debd17b2090fa120a273725f755f”h2NhNh3(Œrb-rb-fsevent >=0.9.4,<1”Œrb-rb-inotify >=0.9.7,<1”Œrb-ruby_dep >=1.2,<2”Œruby >=2.5.7,<2.6.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×–S‹v¸RhEMXØhFˆubh)”}”(hŒr-upsetr”h#Œ1.4.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ$r-upsetr-1.4.0-r35h6115d3f_1.tar.bz2”h+Œ 98a43d37cb2e4615d98b0d9d93530d94”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-upsetr-1.4.0-r35h6115d3f_1.tar.bz2”h0Œ@bf2311f2184d1ec9be3334e212a14c43757afc20c3756249a2d5da36a3f238e9”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-gridextra”Œr-plyr”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGA×LZÃ
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h8a41c72_5”h'Khhh(h)hŒ+sysroot-cos7-x86_64-2.17-h8a41c72_5.tar.bz2”h+Œ 6fa470ad6b273e25dc7c607e32662b0c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-x86_64-2.17-h8a41c72_5.tar.bz2”h0Œ@b3e1766262ebe30c29ba14036a75b4a60138082848adcbae920c8f189deeb338”h2NhNh3Œsysroot_linux-64 2.17”…”h9hºh@ŒLLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later”hBŒGPL”hDGA×¶¶º¬hEMâhFˆubh)”}”(hŒ	r-stapler”h#Œ0.7.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-stapler-0.7.1-r42hc72bb7e_2.tar.bz2”h+Œ 89f08adcd8b8191461305882cf59ea59”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stapler-0.7.1-r42hc72bb7e_2.tar.bz2”h0Œ@bfb81da09bcb36f7edcfadb1dfe60f6deb34ebb4e0508eea9069d1c1a5e8e8df”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrixstats”Œr-rnifti”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒñýÒòhEJWó hFˆubh)”}”(hŒflex-swagger”h#Œ6.14.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(flex-swagger-6.14.1-pyhd8ed1ab_0.tar.bz2”h+Œ f8d9a1c11c0409180c5b8f5afc0b584d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/flex-swagger-6.14.1-pyhd8ed1ab_0.tar.bz2”h0Œ@22dbc7d4025f7c3733f0f9d2daa22c2a7a120966f5a66b74aa7fd358a227bd12”h2NhNh3(Œclick >=3.3”Œjsonpointer >=1.7”Œpython >=3.6”Œpyyaml >=3.11”Œrequests >=2.4.3”Œrfc3987 >=1.3.4”Œsix >=1.7.3”Œstrict-rfc3339 >=0.7”Œvalidate_email >=1.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ}g‘r~úhEM¡µhFˆubh)”}”(hŒdiffpy.pdfmorph”h#Œ0.0.1”h%Œpy_0”h'K hhh(h)hŒ"diffpy.pdfmorph-0.0.1-py_0.tar.bz2”h+Œ 6a8f3007796aba121d6a46978792b09a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/diffpy.pdfmorph-0.0.1-py_0.tar.bz2”h0Œ@8f04c60d19773d3d665eaec4ebe660201a6c200120286ad1966a11309c0a9f7b”h2NhNh3(Œdiffpy.utils”Œ
matplotlib”Œnumpy”Œ
python >=3”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×F/‹"ÑhEM3VhFˆubh)”}”(hŒspdx-license-matcher”h#Œ2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-spdx-license-matcher-2.4-pyhd8ed1ab_0.tar.bz2”h+Œ a19908d5eca2c27186246bd688dc52cf”h.Œ[https://conda.anaconda.org/conda-forge/noarch/spdx-license-matcher-2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@1e8a98080972dcc01ae14b721865b67c8202a20f65a1207e12a4082c867aaee3”h2NhNh3(Œ	click 7.0”Œjellyfish 0.6.1”Œjpype1 >=1.3.0”Œ
python >=3”Œpython-dotenv >=0.17.1”Œredis-py 3.2.1”Œrequests >=2.25”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ–a»çmhEM¬6hFˆubh)”}”(hŒ"opentelemetry-semantic-conventions”h#Œ0.30b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ>opentelemetry-semantic-conventions-0.30b0-pyhd8ed1ab_0.tar.bz2”h+Œ dd6fae086756e6fa225a85abe1394af2”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/opentelemetry-semantic-conventions-0.30b0-pyhd8ed1ab_0.tar.bz2”h0Œ@e88e6ba2aca33c3d4461667b05866a93e21031c5dbc1461130f055f8fd0966f0”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ—qßŸl‹hEMÉghFˆubh)”}”(hŒr-lle”h#Œ1.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ"r-lle-1.1-r42hc72bb7e_1004.tar.bz2”h+Œ 9caa59e421c71065b8962da16d91afd9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lle-1.1-r42hc72bb7e_1004.tar.bz2”h0Œ@5a32782ca6f679847bb30b5b989a13e5b387e8349ef6e0b9d15e6aeb333bbc91”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-mass”Œr-scatterplot3d”Œ
r-snowfall”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ&öÑ&éhEJk8 hFˆubh)”}”(hŒ	re-assert”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$re-assert-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 96c09f78df3c77ebfe1d9e3688b23e91”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/re-assert-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f55e5d2fd90e62774579d7cb0c432416835fa3c681ebc152d1ca1d1d18952f58”h2NhNh3Œpython >=3.6”Œregex”†”h9h?h@ŒMIT”hBŒMIT”hDGAØxÐ¶t¼hEM:hFˆubh)”}”(hŒmesa-libglapi-cos7-aarch64”h#Œ18.3.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ6mesa-libglapi-cos7-aarch64-18.3.4-h9d98e8f_104.tar.bz2”h+Œ 43dab9d6acb11bdae73f004b5aee6241”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-aarch64-18.3.4-h9d98e8f_104.tar.bz2”h0Œ@05e3d460003ede4a0a9fad00f55ca270e4a7d910967637d94830ddc32d311270”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyZ×
hEJi hFˆubh)”}”(hŒr-bucss”h#Œ1.2.1”h%Œr42h785f33e_1”h'Khhh(h)hŒ#r-bucss-1.2.1-r42h785f33e_1.tar.bz2”h+Œ dbaff9f9c6a3e904da77bf4c1c44d7ba”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-bucss-1.2.1-r42h785f33e_1.tar.bz2”h0Œ@7a86136a17232786d5cda46155915fb0f258e23b95ad11d06d388eabbf7a6ece”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGAØÒ¢0Ò°!hEJj hFˆubh)”}”(hŒflup”h#Œ1.0.3”h%Œpy_1001”h'Méhhh(h)hŒflup-1.0.3-py_1001.tar.bz2”h+Œ 7d2166628e2eee333537f1876cecca4d”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/flup-1.0.3-py_1001.tar.bz2”h0Œ@1815a6baebfbff3b4bf4e9c12a906dd520db390d03c093f9a1e72fb3bc86e414”h2NhNh3Œ
python >=3”…”h9h?h@ŒBSD”hBŒBSD”hDGA×oÑô•ÂhEM”hFˆubh)”}”(hŒr-soniclength”h#Œ1.4.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-soniclength-1.4.7-r40hc72bb7e_0.tar.bz2”h+Œ aa8d2cc548299ba79a99fe8989251fc7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-soniclength-1.4.7-r40hc72bb7e_0.tar.bz2”h0Œ@bbca948b2d4bbdc835fcf274d58718b7f601fdcb21a068c7233c9d650ace4ef8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØR{WKÇhEJLS hFˆubh)”}”(hŒpython-unicorn”h#Œ1.0.2rc3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,python-unicorn-1.0.2rc3-pyhd8ed1ab_0.tar.bz2”h+Œ 475f84b485084dd939e83adb5c689cc9”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/python-unicorn-1.0.2rc3-pyhd8ed1ab_0.tar.bz2”h0Œ@95c0c70429e94543be38d2346dd92fcbcea6532cfeb9a580a557b13609af0966”h2NhNh3Œpython >=2.7”Œunicorn 1.0.2rc3 h7f98852_0”†”h9h?h@Œ3LGPL-2.0-only AND GPL-2.0-only AND GPL-2.0-or-later”hDGAØ”eD(öhEM¹“hFˆubh)”}”(hŒorbit2-cos7-ppc64le”h#Œ2.14.19”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0orbit2-cos7-ppc64le-2.14.19-h9d98e8f_104.tar.bz2”h+Œ 819c4f2b456a78dcafd235833110ec79”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-ppc64le-2.14.19-h9d98e8f_104.tar.bz2”h0Œ@5650116dd6c4e4a1752fdd9465c97217ad500e4415f4e790e95700d3904a12fc”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Éy«¬hEJ)  hFˆubh)”}”(hŒnapari-spatial-omics”h#Œ0.0.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/napari-spatial-omics-0.0.8-pyhd8ed1ab_0.tar.bz2”h+Œ 8c38beee97e8e64afad6029da6238909”h.Œ]https://conda.anaconda.org/conda-forge/noarch/napari-spatial-omics-0.0.8-pyhd8ed1ab_0.tar.bz2”h0Œ@c5e30b01eadee1f8fc89f5a15587c7457e4ecf7bc4c29e6f655baef8c2d6ab44”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpandas”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ‚M©G®hEM.hFˆubh)”}”(hŒ
r-nsprcomp”h#Œ0.5.1_2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ(r-nsprcomp-0.5.1_2-r35h6115d3f_0.tar.bz2”h+Œ 98bb2ff99ba8476dff2aa5477f913303”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-nsprcomp-0.5.1_2-r35h6115d3f_0.tar.bz2”h0Œ@0b26403a73d5450bf04f25ca17a65825b3b0a1d8cb42ad722cea84eac49e4613”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×S¦Ý@´9hEJã* hFˆubh)”}”(hŒdata-science-types”h#Œ0.2.23”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.data-science-types-0.2.23-pyhd8ed1ab_0.tar.bz2”h+Œ 7beb8e8287ab37ed0be987e681be121b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/data-science-types-0.2.23-pyhd8ed1ab_0.tar.bz2”h0Œ@68167a6d8992e012df71db18b126ae8e59c071bae59710bbc1b49f2b9a852cf2”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ\1'hEMahFˆubh)”}”(hŒfontconfig-devel-cos7-ppc64le”h#Œ2.13.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9fontconfig-devel-cos7-ppc64le-2.13.0-h9b0a68f_105.tar.bz2”h+Œ d17721883ff330b4b1adad492a6f107b”h.Œghttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos7-ppc64le-2.13.0-h9b0a68f_105.tar.bz2”h0Œ@c215448f36e7e866f939effc9e2b6f42542bc8e232430b7bd2b56daf7553c2b5”h2NhNh3Œ&fontconfig-cos7-ppc64le ==2.13.0 *_105”Œ'freetype-devel-cos7-ppc64le >=2.8 *_105”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGAØ@Bh  hEJC hFˆubh)”}”(hŒr-excelr”h#Œ0.4.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-excelr-0.4.0-r41hc72bb7e_1.tar.bz2”h+Œ d3fc4248a9c04b39287085d90f5c774e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-excelr-0.4.0-r41hc72bb7e_1.tar.bz2”h0Œ@c7cbe6254543039ddf670f485b3e721069fa8be127e971661d3fd7c8848f326b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmlwidgets >=1.3”Œr-jsonlite >=1.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒmŽ—hEJ‰D hFˆubh)”}”(hŒbasemap-data-hires”h#Œ1.3.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-basemap-data-hires-1.3.2-pyhd8ed1ab_1.tar.bz2”h+Œ 3fdd5715c3348a1ea600cc963bfd971d”h.Œ[https://conda.anaconda.org/conda-forge/noarch/basemap-data-hires-1.3.2-pyhd8ed1ab_1.tar.bz2”h0Œ@836b1764524145c9e023c6e09f76c1348a15374b8773dfc7b75f819c906a6082”h2NhNh3Œbasemap-data >=1.3.2,<2.0a0”Œpython”†”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ¨A«3¥ãhEJ¬ÆÔhFˆubh)”}”(hŒpkgconfig-cos7-ppc64le”h#Œ0.27.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2pkgconfig-cos7-ppc64le-0.27.1-h9d98e8f_104.tar.bz2”h+Œ 81bb8e685ced1446ce9000aa4b886133”h.Œ`https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-ppc64le-0.27.1-h9d98e8f_104.tar.bz2”h0Œ@cd3b1efa2e1aae988e56904040124d9476a99c52080e36609160ab242d77b175”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Éy¬+…hEMÆÒhFˆubh)”}”(hŒr-heatmap.plus”h#Œ1.3”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ+r-heatmap.plus-1.3-r42hc72bb7e_1004.tar.bz2”h+Œ 967522f704ed0a9c6dc498b460a97e08”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-heatmap.plus-1.3-r42hc72bb7e_1004.tar.bz2”h0Œ@bc8c3e1cb41a833c00c0b43b377334b33c53e7fad2155c82ec9bed08294c005a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒiºv5?hEM\¢hFˆubh)”}”(hŒ	r-sciplot”h#Œ1.2_0”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ%r-sciplot-1.2_0-r42hc72bb7e_2.tar.bz2”h+Œ 82352fdbd577b1bb0c3c4ea896615199”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sciplot-1.2_0-r42hc72bb7e_2.tar.bz2”h0Œ@a68e8bee0bed0c7cdc5d6e502bcf86e5cfc4860360baed26190e183452b79a20”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ¤]‘hhEMjÍhFˆubh)”}”(hŒ	r-lexicon”h#Œ1.2.1”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ%r-lexicon-1.2.1-r40hc72bb7e_2.tar.bz2”h+Œ 249848adf2a3b3bb0b8da051f5bd427c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-lexicon-1.2.1-r40hc72bb7e_2.tar.bz2”h0Œ@d77fd5dc27cb27648c579b7ba9d9eb30852b29ddc88236e3036b1a71bd48ddca”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œr-syuzhet >=1.0.1”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+«Uë…hEJóB2 hFˆubh)”}”(hŒr-qdapregex”h#Œ0.7.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-qdapregex-0.7.5-r42hc72bb7e_1.tar.bz2”h+Œ 96a8f4aacc616f601dbaf42591d0fcf0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-qdapregex-0.7.5-r42hc72bb7e_1.tar.bz2”h0Œ@2e8802be14af72552298060073dd05db852ab450da1fcd03f1cadae187a34634”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-stringi >=0.5_5”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐÆÉÈbNhEJiM hFˆubh)”}”(hŒbasemap-data”h#Œ1.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'basemap-data-1.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 43f4df09882912b6fc46c12105f7be4e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/basemap-data-1.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@8c6ffe583b95e4606aca6604f25db1bd3cd915c922d43f7ed6d3028017678225”h2NhNh3Œpython”…”h9h?h@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ£Ç÷\)hEJS\²hFˆubh)”}”(hŒlibxshmfence-devel-cos6-x86_64”h#Œ1.2”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7libxshmfence-devel-cos6-x86_64-1.2-hdf0574f_102.tar.bz2”h+Œ f3ea61324376bafe4d13b9289581a52a”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libxshmfence-devel-cos6-x86_64-1.2-hdf0574f_102.tar.bz2”h0Œ@35d13fb02c2d4f370bc11bbbecf89d55f37c8e1480ce5cd72b119e07d06534d2”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´¬yG®hEM÷hFˆube(h)”}”(hŒgit-url-parse”h#Œ1.2.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ(git-url-parse-1.2.2-pyh9f0ad1d_0.tar.bz2”h+Œ 15927262dfaf2be66854d366a50e4d27”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/git-url-parse-1.2.2-pyh9f0ad1d_0.tar.bz2”h0Œ@a9fa89ffa47ede9623140f1732d5ca03a551ae524f9e42751a4f7cd16c1b5840”h2NhNh3Œpbr”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×¯»Ðr°hEMbhFˆubh)”}”(hŒlibxfixes-cos7-ppc64le”h#Œ5.0.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libxfixes-cos7-ppc64le-5.0.3-h9d98e8f_1104.tar.bz2”h+Œ 086cfbed95fc395f7532716d0ac951bb”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxfixes-cos7-ppc64le-5.0.3-h9d98e8f_1104.tar.bz2”h0Œ@3c65c15958f83b53322e46e5d00e80feb04d19e947a8765883b751f7c6c2b57a”h2NhNh3Œ libx11-cos7-ppc64le >=1.6 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É…çïžhEMu?hFˆubh)”}”(hŒ
r-spscomps”h#Œ0.3.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-spscomps-0.3.2.1-r42hc72bb7e_1.tar.bz2”h+Œ f0dc32837c5edc4abe5fa0904a4d8b49”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-spscomps-0.3.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@faaad496ca7b5ac4ef8c01a625ca5e1317740d5b168f2cb7d06a2f2554c4c3b4”h2NhNh3(Œr-assertthat”Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œr-glue >=1.4.0”Œr-htmltools”Œ
r-magrittr”Œr-r6”Œr-shiny >=1.5.0”Œ
r-shinyace”Œr-shinytoastr”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ/f5?hEJZµ hFˆubh)”}”(hŒr-prediction”h#Œ0.3.14”h%Œr40h6115d3f_2”h'Khhh(h)hŒ)r-prediction-0.3.14-r40h6115d3f_2.tar.bz2”h+Œ 29cef075a24553b334a456c6a579f5a3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-prediction-0.3.14-r40h6115d3f_2.tar.bz2”h0Œ@3628a2ecbcb13dd24de8fd66fec92368cc40b911004acc476a9f1eec54e85436”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGA×«õ¹ŠÀƒhEJÊ hFˆubh)”}”(hŒlibnl3-devel-cos6-x86_64”h#Œ3.2.21”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libnl3-devel-cos6-x86_64-3.2.21-h9b0a68f_105.tar.bz2”h+Œ bf6ea61c5cd728040b31d90ad9e87697”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libnl3-devel-cos6-x86_64-3.2.21-h9b0a68f_105.tar.bz2”h0Œ@049c2ea95a5ccce0d4b78578aeec5564afd7bee8296dfe435a2367ec823ed51e”h2NhNh3Œ%libnl3-cli-cos6-x86_64 ==3.2.21 *_105”Œ!libnl3-cos6-x86_64 ==3.2.21 *_105”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@Zf4jhEMˆ³hFˆubh)”}”(hŒmorphops”h#Œ0.1.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$morphops-0.1.13-pyhd8ed1ab_0.tar.bz2”h+Œ 7afac53d1b64fc552415b4c8e93a949e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/morphops-0.1.13-pyhd8ed1ab_0.tar.bz2”h0Œ@052183fa0466a14f50c3d112254430511bb645803f895e689d2f0410289d7461”h2NhNh3Œnumpy >=1.13.3”Œpython >=3.6”Œscipy >=1.3.3”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØY&dº^hEMU_hFˆubh)”}”(hŒ	distarray”h#Œ2.12.2”h%Œpy_1”h'Khhh(h)hŒdistarray-2.12.2-py_1.tar.bz2”h+Œ c8942a91c5dd937bb62e8a37deef4d08”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/distarray-2.12.2-py_1.tar.bz2”h0Œ@2618fb5955e81a8b54b2bb4df21f204c2d3ae6269c4ee8ee2575dd0b3458f901”h2NhNh3Œfuture”Œpython”†”h9h?h@ŒBSD 3-Clause”hDGAÖíPESøhEMÔ'hFˆubh)”}”(hŒr-simplecache”h#Œ0.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-simplecache-0.4.2-r41hc72bb7e_0.tar.bz2”h+Œ 4919f9835c3ecc96158044552b3b4000”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-simplecache-0.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@79bd0fd08515c5704be673e03700de4be3142a98fa415bfaf435024b2d4ecb70”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒBSD-2-clause”hBŒBSD”hDGAØ+ÖåãThEJ"n hFˆubh)”}”(hŒr-perry”h#Œ0.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-perry-0.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 9188ecbb7beee1aa4adf394a03788247”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-perry-0.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@fd7ac567468841fe757ea1acf08b47cacb408d1d362a260a724fbfefaefb04e2”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=0.9.2”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ€anVhEJvé hFˆubh)”}”(hŒr-tfse”h#Œ0.5.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-tfse-0.5.0-r36h6115d3f_0.tar.bz2”h+Œ b05c69907f8936ed01e2e35c597f866f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tfse-0.5.0-r36h6115d3f_0.tar.bz2”h0Œ@81bab4808705db93782c68c5aee460534b22f8c7b3ef6d6478a8dd0e8acdac94”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-dapr”Œ
r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×d½ô	7LhEJ:h hFˆubh)”}”(hŒr-spacyr”h#Œ1.2.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-spacyr-1.2.1-r41hc72bb7e_2.tar.bz2”h+Œ f72b9c017824d4c5c6c71e90e2067f10”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-spacyr-1.2.1-r41hc72bb7e_2.tar.bz2”h0Œ@507085a7b2a7d623dc493b84ba38c558c93301719d8278c8e3898e4cc408a763”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-reticulate >=1.6”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒè™%hEJ¸k hFˆubh)”}”(hŒ	pyaerocom”h#Œ0.13.2”h%Œpyhd8ed1ab_5”h'Khhh(h)hŒ%pyaerocom-0.13.2-pyhd8ed1ab_5.tar.bz2”h+Œ 7157d171478340894c58f4ea96783810”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyaerocom-0.13.2-pyhd8ed1ab_5.tar.bz2”h0Œ@36e586a9016a59e901de0beb1ecacd2366586ad3078916f0095ef77d19a0055c”h2NhNh3(Œcartopy >=0.20.0”Œdask”Œgeonum”Œimportlib-metadata >=3.6”Œiris >=3.2.0”Œmatplotlib-base >=3.0.1”Œnumpy >=0.12.0”Œopenpyxl”Œpandas >=1.3.0”Œpython >=3.8,<3.11”Œrequests”Œreverse-geocode”Œscipy >=1.1.0”Œseaborn >=0.8.0”Œ
simplejson”Œtomli >=2.0.1”Œtqdm”Œtyper >=0.4.0”Œxarray >=0.16.0,!=2022.11.0”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØÜ„ï¤ýôhEJ< hFˆubh)”}”(hŒr-pacman”h#Œ0.5.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-pacman-0.5.1-r41hc72bb7e_0.tar.bz2”h+Œ 9af05fd8a06d1d4d4db475b0d0a4863d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pacman-0.5.1-r41hc72bb7e_0.tar.bz2”h0Œ@4978be202ff762da741b9d1bd0e7545f7c1a112695dd95b5dc3ce62303bf70d6”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-remotes”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ¨)F·®hEJbø hFˆubh)”}”(hŒfreetype-devel-cos6-x86_64”h#Œ2.3.11”h%Œha826a6f_1103”h'MOhhh(h)hŒ7freetype-devel-cos6-x86_64-2.3.11-ha826a6f_1103.tar.bz2”h+Œ 224889b2a680c17b44c1b15da1420304”h.Œehttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos6-x86_64-2.3.11-ha826a6f_1103.tar.bz2”h0Œ@be315c98ac8adcc050d6ef66eac29940bf71a10e20cbd8d861a20c586428376f”h2NhNh3Œ$freetype-cos6-x86_64 ==2.3.11 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒFTL or GPLv2+”hBŒGPL2”hDGA×Æ1„âMÓhEJ¿ˆ hFˆubh)”}”(hŒ
r-sinaplot”h#Œ1.1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-sinaplot-1.1.0-r36h6115d3f_0.tar.bz2”h+Œ fcd0ca820981d3fd157611519a1370ae”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sinaplot-1.1.0-r36h6115d3f_0.tar.bz2”h0Œ@8e5ef57ad37a7172a950bde346054644fcb4977e460018d74eb33958e1d07dca”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-plyr >=1.8.4”†”h9hºh@Œ
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r-editdata”h#Œ0.1.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-editdata-0.1.8-r40hc72bb7e_0.tar.bz2”h+Œ ca02dc3b90d8a6dee25a5fb0ba729820”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-editdata-0.1.8-r40hc72bb7e_0.tar.bz2”h0Œ@28266fd596bd04b89872b0bf150ae447b2524434850d9d5e289292bde3b1f09d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-dt >=0.17”Œ
r-magrittr”Œr-miniui >=0.1.1”Œ
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python >=3”…”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÝ@hõÃhEMn\hFˆubh)”}”(hŒr-eigenmodel”h#Œ1.11”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-eigenmodel-1.11-r42hc72bb7e_1.tar.bz2”h+Œ 0865f6e853769b4333f77daaf5386b89”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-eigenmodel-1.11-r42hc72bb7e_1.tar.bz2”h0Œ@266074585fd390bf590725d4ca10d6dacd439bc021fef87686716c79f92b0cff”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐþ]>$ÝhEJšN hFˆubh)”}”(hŒr-modeltools”h#Œ0.2_23”h%Œr36h6115d3f_0”h'K hhh(h)hŒ)r-modeltools-0.2_23-r36h6115d3f_0.tar.bz2”h+Œ 4afe2100273e34890dda21c13e577465”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-modeltools-0.2_23-r36h6115d3f_0.tar.bz2”h0Œ@182bb90a6106683afa610cdb171f4b7910bb218f16b5cb2158c92210efdc29c2”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×˜='Ðå`hEJ@¨ hFˆubh)”}”(hŒfalcon-apispec”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒ!falcon-apispec-0.4.0-py_0.tar.bz2”h+Œ a0604c5ea3ce93cee0eb7b3324bb7395”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/falcon-apispec-0.4.0-py_0.tar.bz2”h0Œ@a9a1b8a2022414fce584c42b9b8ac9def41a84ae05384c38b13d8e126992636d”h2NhNh3(Œapispec >=1.0”Œfalcon”Œ
python >=3”Œpyyaml >=3.10”t”h9h?h@ŒMIT”hBŒMIT”hDGA×®Ù;dhEM}hFˆubh)”}”(hŒyake”h#Œ0.4.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒyake-0.4.8-pyhd8ed1ab_0.tar.bz2”h+Œ 2237d98c4651b74bc56ef29778115677”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/yake-0.4.8-pyhd8ed1ab_0.tar.bz2”h0Œ@07addfe5342e602d064bc585274b746a5e0defd137649806cb2deea73cb73a59”h2NhNh3(Œclick >=6.0”Œ	jellyfish”Œnetworkx”Œnumpy”Œpython >=3.5”Œsegtok”Œtabulate”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ"?>QûçhEMFýhFˆubh)”}”(hŒ	r-sciplot”h#Œ1.2_0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-sciplot-1.2_0-r41hc72bb7e_2.tar.bz2”h+Œ 83f24545833f209212a477633cd8bc15”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sciplot-1.2_0-r41hc72bb7e_2.tar.bz2”h0Œ@3bf4a1127cd414b18f736058574f34a85c6e32a92e2b3f130602020e974dd728”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ«¨1'hEM<ÍhFˆubh)”}”(hŒlibxext-devel-cos6-x86_64”h#Œ1.3.3”h%Œha826a6f_103”h'Kghhh(h)hŒ4libxext-devel-cos6-x86_64-1.3.3-ha826a6f_103.tar.bz2”h+Œ ae8be209ce50b24d756693ba986db882”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos6-x86_64-1.3.3-ha826a6f_103.tar.bz2”h0Œ@757bebf1b0d20aa283aac4de616bcf7db71643d89f035a92a2a4d674e9112bd6”h2NhNh3Œ!libxext-cos6-x86_64 ==1.3.3 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2›Z-hEJ\ hFˆubh)”}”(hŒr-mosaicdata”h#Œ0.20.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-mosaicdata-0.20.3-r41hc72bb7e_1.tar.bz2”h+Œ ea5645d2cc0019577dff35d63f8ce9b8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-mosaicdata-0.20.3-r41hc72bb7e_1.tar.bz2”h0Œ@9f2ced37e8bac910bbc845d812954597927b6a1d96491b190918addbc8979bef”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ&=+hEJáQ hFˆubh)”}”(hŒpython-graphviz”h#Œ0.20.1”h%Œpyh22cad53_0”h'K hhh(h)hŒ+python-graphviz-0.20.1-pyh22cad53_0.tar.bz2”h+Œ 196447bc6fd769c3eb2d51de1aa866a5”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/python-graphviz-0.20.1-pyh22cad53_0.tar.bz2”h0Œ@55e25bf761438b6b52e67ed06d3e5575445177a58636e873a9899aa7fd9c8585”h2NhNh3Œgraphviz >=2.46.1”Œ
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setuptools”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ#ûãéÊÁhEMNkhFˆubh)”}”(hŒr-skynet”h#Œ1.4.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-skynet-1.4.3-r41hc72bb7e_1.tar.bz2”h+Œ e760522755161249d36894ba553a0c8a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-skynet-1.4.3-r41hc72bb7e_1.tar.bz2”h0Œ@3be934f7e70d592fe4cfb5657bb6ec29f901784c30c4d058db58b11c980ef49b”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œr-dplyr”Œr-geosphere”Œ	r-ggplot2”Œ	r-ggrepel”Œr-httr”Œr-igraph”Œ	r-leaflet”Œr-maps”Œr-rcurl”Œ	r-stringr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒŽþ—hEJv' hFˆubh)”}”(hŒlibnl-devel-cos6-x86_64”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ3libnl-devel-cos6-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h+Œ 169784ff9548a86cbf943577336f0267”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos6-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@2e6512fceaea13486f7e419dc40eb3a621fe1fa817a76f83ee1a94ff1ac4c164”h2NhNh3Œ libnl-cos6-x86_64 ==1.1.4 *_1102”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Å+ù†{hEJcI	 hFˆubh)”}”(hŒr-ismev”h#Œ1.42”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ%r-ismev-1.42-r41hc72bb7e_1003.tar.bz2”h+Œ 052cc6feef8d57db605a863f060a54c3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ismev-1.42-r41hc72bb7e_1003.tar.bz2”h0Œ@f3bd16e723e11b1047044606cdb1533ab82842e7ba79f2898c2aba93b8ef9624”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mgcv”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ`§Ún˜hEJbV hFˆubh)”}”(hŒasyncio-helpers”h#Œ0.4.2”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ*asyncio-helpers-0.4.2-pyhd8ed1ab_2.tar.bz2”h+Œ 5a4d1693f385a1801e525159a67b2bcf”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/asyncio-helpers-0.4.2-pyhd8ed1ab_2.tar.bz2”h0Œ@c1ec15f6ae86d2a69e64e7911a9b28d3e352790f0620b3f4b35343b3becc83ef”h2NhNh3Œlogging-helpers”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØØ‡Çc…hEM‘(hFˆubh)”}”(hŒ
r-ipflasso”h#Œ1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-ipflasso-1.1-r36h6115d3f_1.tar.bz2”h+Œ 479e8058058782bcab75b29cdf238ac7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipflasso-1.1-r36h6115d3f_1.tar.bz2”h0Œ@b0f118430de3e1521bb0f983a595d2b8bedbd7e57eb1a63885b01e79071b5fc8”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-glmnet”Œ
r-survival”‡”h9hºh@ŒGPL”hBŒGPL”hDGA×¬·wPhEJ- hFˆubh)”}”(hŒlogging-helpers”h#Œ0.4.1”h%Œpy_0”h'K hhh(h)hŒ"logging-helpers-0.4.1-py_0.tar.bz2”h+Œ 9172c8184c3846312ebd1489876c2bc4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/logging-helpers-0.4.1-py_0.tar.bz2”h0Œ@7a9fe4eb5c51f6069fa8ebb3bd89175a99c4e6878ac213e0006f2782134079ea”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×/ç£×hEM<hFˆubh)”}”(hŒpandocfilters”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 457c2c8c08e54905d6954e79cb5b5db9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@2bb9ba9857f4774b85900c2562f7e711d08dd48e2add9bee4e1612fbee27e16f”h2NhNh3Œpython !=3.0,!=3.1,!=3.2,!=3.3”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØP±U`BhEMk-hFˆubh)”}”(hŒr-pubmed.miner”h#Œ1.0.19”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ+r-pubmed.miner-1.0.19-r41hc72bb7e_1.tar.bz2”h+Œ 093dc2a6e41fffd3fdc2a4572669bd14”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-pubmed.miner-1.0.19-r41hc72bb7e_1.tar.bz2”h0Œ@fd8749d0180e6453383d28e181d56e9563e67e4f90ff073be4404da211cbfda6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-r2html”Œr-rcurl”Œ	r-rjsonio”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ0lo²hEJ§{ hFˆubh)”}”(hŒipyx”h#Œ0.1.8”h%Œpyhc268e32_0”h'K hhh(h)hŒipyx-0.1.8-pyhc268e32_0.tar.bz2”h+Œ e0f899aad8554027d1424f1f5d336165”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/ipyx-0.1.8-pyhc268e32_0.tar.bz2”h0Œ@86f4ff3fc4c31fdcc45f340712a81bec1e280377bb5f24c5cd4550eb6cd553c8”h2NhNh3Œipycytoscape”Œipywidgets >=7.0.0”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØr#
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palettable”Œpandas”Œ
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r-multiroc”h#Œ1.1.1”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ*r-multiroc-1.1.1-r351h6115d3f_1000.tar.bz2”h+Œ 519a3818fdd1de44f6b9a0b7b70c5540”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-multiroc-1.1.1-r351h6115d3f_1000.tar.bz2”h0Œ@c2d2d7a6063074a8085157c0c7156289e0ac556ad3749a9577f064b8939ea027”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-boot”Œ
r-magrittr”Œr-zoo”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAÖý»?
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GPL (>= 2)”hBŒGPL3”hDGA×LÂ¶VhEJ1Ä hFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œh1795305_1101”h'MMhhh(h)hŒ.libx11-cos6-x86_64-1.6.4-h1795305_1101.tar.bz2”h+Œ 66a4d6b1f92285aabfd7b90bd19d4afa”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-h1795305_1101.tar.bz2”h0Œ@6d520f6ea2307ac16a4673dfc6c266d3be24e539fd831be065024ce1fd2315cf”h2NhNh3Œlibx11-common-cos6-x86_64 1.6.4”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å~¶E¢hEJ¿M hFˆubh)”}”(hŒpyglotaran-alias”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+pyglotaran-alias-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ e9777f9a69ef51f37209745779887512”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pyglotaran-alias-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@63b0f0f45c4f508830e76a484ee32aeb5a8f6a70f4d04c049e41a4b24653f6f7”h2NhNh3Œpython >=3.8”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ5ã§ðhEMà-hFˆubh)”}”(hŒlibibcm-cos6-x86_64”h#Œ1.0.5”h%Œhdf0574f_102”h'Kfhhh(h)hŒ.libibcm-cos6-x86_64-1.0.5-hdf0574f_102.tar.bz2”h+Œ 2e3c7929d632b052d858b148da776799”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libibcm-cos6-x86_64-1.0.5-hdf0574f_102.tar.bz2”h0Œ@c9d7086ef6a69e4df05fdbdabdad93139b40cda33d029e42c5e21fb2f58e69c8”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×Å*ø¥p¤hEMiOhFˆubh)”}”(hŒpy-tes”h#Œ0.4.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!py-tes-0.4.1-pyhd8ed1ab_1.tar.bz2”h+Œ 66052c38ef4ec23d1843ba272055ed3d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/py-tes-0.4.1-pyhd8ed1ab_1.tar.bz2”h0Œ@db021d4ab2678fc6043c6de5ece7117d0edbdd75a713a87887ba51725167626f”h2NhNh3(Œattrs >=17.4.0”Œfuture >=0.16.0”Œpython >=3.4”Œpython-dateutil >=2.6.1”Œrequests >=2.18.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØƒ‹XQìhEMŒ+hFˆubh)”}”(hŒr-lmesplines”h#Œ1.1_12”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-lmesplines-1.1_12-r41hc72bb7e_1.tar.bz2”h+Œ bcce55e24ed561e8d818124ada5db74b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-lmesplines-1.1_12-r41hc72bb7e_1.tar.bz2”h0Œ@c8ff74a9efd35bad95ae25e41e8a05190d531114473d544e225c917264635a61”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-nlme >=3.1_29”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ¢V²-hEM›hFˆubh)”}”(hŒpydeck-carto”h#Œ0.1.0b8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)pydeck-carto-0.1.0b8-pyhd8ed1ab_0.tar.bz2”h+Œ 8a5e91413da524fcb3073f6b4bcac49e”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/pydeck-carto-0.1.0b8-pyhd8ed1ab_0.tar.bz2”h0Œ@e3ee043bdfaab753a8565257e5c3943573d0ad49eac64ec22e03428b8b6bb586”h2NhNh3Œcarto-auth >=0.1.0b4”Œpydeck >=0.8.0b4”Œpython >=3.7”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÖ^ÒòhEMÎ%hFˆubh)”}”(hŒlibx11-devel-cos7-x86_64”h#Œ1.6.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libx11-devel-cos7-x86_64-1.6.7-ha826a6f_1103.tar.bz2”h+Œ b591b9f9a4d7a5bab9630530bb7e3295”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-x86_64-1.6.7-ha826a6f_1103.tar.bz2”h0Œ@d1002ce3095aa9a2c283db74f5b76466a011e458a523acc585486ad0f89cceda”h2NhNh3Œ!libx11-cos7-x86_64 ==1.6.7 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1¯Ý¸hEJny hFˆubh)”}”(hŒ
r-cctensor”h#Œ1.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-cctensor-1.0.2-r41hc72bb7e_0.tar.bz2”h+Œ acbe3d285957a2f4be3a044656c404c5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-cctensor-1.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@c0f44dfb631472cc64003dc5af04e6496b133c3373344071ffcc774f3b1158b7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fields”Œr-igraph”Œr-mass”Œ	r-rtensor”t”h9hºh@ŒArtistic-2.0”hBŒOTHER”hDGAØ`?ô õÃhEMƒ°hFˆubh)”}”(hŒr-prroc”h#Œ1.3.1”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ&r-prroc-1.3.1-r41ha770c72_1002.tar.bz2”h+Œ 21d477327167936d71b76319f54efd26”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-prroc-1.3.1-r41ha770c72_1002.tar.bz2”h0Œ@f74624260359eaccec7c0791bed506853a3f580b43117620a8e5f7a4e254125a”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*Ý\-VhEJRE hFˆubh)”}”(hŒr-slim”h#Œ0.1.1”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ%r-slim-0.1.1-r40hc72bb7e_1002.tar.bz2”h+Œ 2a42e96e406f16819ee526b6225d68b9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-slim-0.1.1-r40hc72bb7e_1002.tar.bz2”h0Œ@33f39b5b5a27df2a8bc4ac40eb23b511d442792b8879d01e8991028f0a100855”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table >=1.9.6”Œr-mass >=7.3”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+MÊJhEJÝT hFˆubh)”}”(hŒmesa-libgl-devel-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_101”h'Kehhh(h)hŒ9mesa-libgl-devel-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h+Œ b0a3a646d54bbdd82b9f61cb777a78f5”h.Œghttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-devel-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h0Œ@ca997eb10af822770371588c2ea3cf0826bfd0d24738c0bca64c2a0d786d739c”h2NhNh3Œmesa-libgl-cos7-aarch64 18.3.4”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åˆ‰ûçhEJ[„ hFˆubh)”}”(hŒr-geomapdata”h#Œ2.0_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-geomapdata-2.0_0-r41hc72bb7e_0.tar.bz2”h+Œ 5e940ba435d456fe37bf57aae7d82a71”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-geomapdata-2.0_0-r41hc72bb7e_0.tar.bz2”h0Œ@6062eae0d687467391dfe0588c143f3b22f143e499aab60179f636bd771da207”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØœ\Z¡Û#hEJýÍ hFˆubh)”}”(hŒflake8”h#Œ4.0.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ!flake8-4.0.1-pyhd8ed1ab_1.tar.bz2”h+Œ ebcd260142f408f587dafc01170a32f2”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/flake8-4.0.1-pyhd8ed1ab_1.tar.bz2”h0Œ@c4c767edf48e2b197db022b2d99c48400b8a972f4540959ccd1848dfb4b40912”h2NhNh3(Œimportlib-metadata <4.3”Œmccabe >=0.6.0,<0.7.0”Œpycodestyle >=2.8.0,<2.9.0”Œpyflakes >=2.4.0,<2.5.0”Œpython >=3.6”Œsetuptools >=30.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ`k"‡¾whEJ|K hFˆubh)”}”(hŒ
karateclub”h#Œ1.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%karateclub-1.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ fdd191bd0471316d646003002de250be”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/karateclub-1.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@2a381df6303e9445a42d14b94fee55ea9210fd50fffd745179dda0df518a66eb”h2NhNh3(Œdecorator 4.4.2”Œgensim >=4.0”Œnetworkx”Œnumpy”Œpandas <=1.3.5”Œpygsp”Œpython >=3.6”Œpython-levenshtein”Œpython-louvain”Œscikit-learn”Œscipy”Œsix”Œtqdm”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ} MÈ  hEMÂåhFˆubh)”}”(hŒrb-jekyll-theme-cayman”h#Œ0.1.1”h%Œ
hc42de5b_0”h'K hhh(h)hŒ/rb-jekyll-theme-cayman-0.1.1-hc42de5b_0.tar.bz2”h+Œ 8a474488bf222d8cb256adae3546dcea”h.Œ]https://conda.anaconda.org/conda-forge/noarch/rb-jekyll-theme-cayman-0.1.1-hc42de5b_0.tar.bz2”h0Œ@780103743c9b401fe5466373a8088e13d8ef4e66d3e5c68ae9bf98eaa05f3290”h2NhNh3Œrb-jekyll >=3.5,<4.0”Œrb-jekyll-seo-tag >=2.0,<3”Œruby >=2.6.3,<2.7.0a0”‡”h9hºh@ŒCC0-1.0”hDGA×[]àŽ—hEMUkhFˆubh)”}”(hŒr-paireddata”h#Œ1.1.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ(r-paireddata-1.1.1-r40hc72bb7e_1.tar.bz2”h+Œ 678df8ca42bfeea3c200670e6dbe9bab”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paireddata-1.1.1-r40hc72bb7e_1.tar.bz2”h0Œ@2eb9272441deb6eedd72b1fbb4fdd91e0da9222d5eac5c6c52ab508cc235e28d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-gld”Œ	r-lattice”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ÝX:ñªhEJÜì hFˆubh)”}”(hŒ
r-moonbook”h#Œ0.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-moonbook-0.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 6874f356695abf53fd4251e2b1837c85”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-moonbook-0.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@7871d6c79ae2d36202f61f4707ed28ededc2df586a927929c18f648fa80a6731”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-magrittr”Œ	r-nortest”Œr-sjmisc”Œ	r-stringr”Œ
r-survival”Œr-ztable”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒMpÆÙhEJÚ¤ hFˆubh)”}”(hŒr-poissonreg”h#Œ1.0.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-poissonreg-1.0.1-r41hc72bb7e_0.tar.bz2”h+Œ bdf1f716530354292a5229678fb7d21d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-poissonreg-1.0.1-r41hc72bb7e_0.tar.bz2”h0Œ@bd33f81fb5a4df8320fb4d45a2742f3b1fdc8da582847ab2bca33aa9b7469197”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-glue”Œr-parsnip >=0.1.0”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÀûD¬hEJöH hFˆubh)”}”(hŒ	r-stapler”h#Œ0.7.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-stapler-0.7.1-r41hc72bb7e_1.tar.bz2”h+Œ fc18cd0087e6983dd13e3ac2adde5fbf”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stapler-0.7.1-r41hc72bb7e_1.tar.bz2”h0Œ@5322aa24a138d7c483052a17d50b7e6d9754b72e46756c75d7732d59f6aa49f5”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrixstats”Œr-rnifti”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+ñ›dZhEJ°ï hFˆubh)”}”(hŒ	r-reportr”h#Œ1.3.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-reportr-1.3.0-r36h6115d3f_1.tar.bz2”h+Œ ee1983a33968d7400b54f5d33a7952ac”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reportr-1.3.0-r36h6115d3f_1.tar.bz2”h0Œ@e18fe90f55248ec21821700b7300bf5ea3927ae8fa1df23a316e4892cae20d19”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-ore”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L`i®hEMŽ¸hFˆubh)”}”(hŒ	gunpowder”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$gunpowder-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ f411081c3c975f1e02bd725316c0c285”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/gunpowder-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c0fc2f32a2f04bb15a271465560ecdd19267b45500c42be991429f902adf3a36”h2NhNh3(Œ
augment-nd”Œh5py”Œnumpy”Œpython >=3.7”Œrequests”Œscikit-image”Œscipy”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ´RÁ&éhEJj} hFˆubh)”}”(hŒr-tester”h#Œ0.1.7”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ'r-tester-0.1.7-r42hc72bb7e_1003.tar.bz2”h+Œ 340bb9dc279fe699b58c523da1b75a17”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tester-0.1.7-r42hc72bb7e_1003.tar.bz2”h0Œ@254ed906ebc7eacddbf47bda2a474b6c9f2dfdbd621d401b3be86cbb41b29f9f”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ
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r-rcapture”h#Œ1.4_4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-rcapture-1.4_4-r42hc72bb7e_1.tar.bz2”h+Œ f54d6ae166d9fd13e060b9d02567f0b1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rcapture-1.4_4-r42hc72bb7e_1.tar.bz2”h0Œ@f58de85c6166e6a1fb78ecd30ed93b95b3f756244dbff61c0b738127699d34f9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ(¯ß;hEJ‡ hFˆubh)”}”(hŒprometheus_client”h#Œ0.13.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-prometheus_client-0.13.1-pyhd8ed1ab_0.tar.bz2”h+Œ 9259acd5dd8746e7721474fa62e046d7”h.Œ[https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.13.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7a8c02bc11df08418194a4996e74efcbfd3f4414c624096262e26718a7323215”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ}-hEMŽ½hFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libx11-cos6-x86_64-1.6.4-h9b0a68f_105.tar.bz2”h+Œ 723b4507c2bc2b56e0472996d2c8b9b0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-h9b0a68f_105.tar.bz2”h0Œ@15f867d0008d939c1bea74ecbffa47e0657552d9507ac698cdf7cce3536d2d47”h2NhNh3Œ'libx11-common-cos6-x86_64 ==1.6.4 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@X;XA‰hEJ€ hFˆubh)”}”(hŒr-oompabase”h#Œ3.2.9”h%Œr40h6115d3f_1”h'Khhh(h)hŒ'r-oompabase-3.2.9-r40h6115d3f_1.tar.bz2”h+Œ 36040cc617d565570b330406b6a51854”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-oompabase-3.2.9-r40h6115d3f_1.tar.bz2”h0Œ@ba2f74425c138fc16d2189877f24cee0b15fc3bee332d9109133909adc3ab3a3”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×¬$ÎæÈ´hEJYý hFˆubh)”}”(hŒexpat-devel-cos6-x86_64”h#Œ2.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2expat-devel-cos6-x86_64-2.0.1-h9b0a68f_105.tar.bz2”h+Œ 1b704bf60ce1c0f139df138f57a19361”h.Œ`https://conda.anaconda.org/conda-forge/noarch/expat-devel-cos6-x86_64-2.0.1-h9b0a68f_105.tar.bz2”h0Œ@6c2e59b393213ae0941bcdb6b7ab58ef8a3fd3883672d80fa2b7e0cc8532f335”h2NhNh3Œexpat-cos6-x86_64 ==2.0.1 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@YCm/hEJŒ	 hFˆubh)”}”(hŒflask-potion”h#Œ0.16.0”h%Œpy_0”h'K hhh(h)hŒ flask-potion-0.16.0-py_0.tar.bz2”h+Œ 44b798799630288cb7c46ad5a670704c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/flask-potion-0.16.0-py_0.tar.bz2”h0Œ@4fb1b1a43495235379cfbcdda601c222d0c12ffca9b8c22e2aec76ef45dc7cde”h2NhNh3(Œaniso8601 >=0.84”Œblinker >=1.3”Œflask >=0.10”Œjsonschema >=2.4.0”Œpython”Œsix >=1.8.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ÒuãThEM¯œhFˆubh)”}”(hŒ	jina-core”h#Œ3.7.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$jina-core-3.7.7-pyhd8ed1ab_0.tar.bz2”h+Œ b384b671f2804326c2bcaf93cca5e8a6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/jina-core-3.7.7-pyhd8ed1ab_0.tar.bz2”h0Œ@c714d83e7a118067ff97eb767729b0fb5d57a7e2b11955753b4bec62c07d22b5”h2NhNh3(Œ__unix”Œdocarray >=0.13.14”Œgrpcio >=1.46.0”Œgrpcio-health-checking >=1.46.0”Œgrpcio-reflection >=1.46.0”Œnumpy”Œpackaging >=20.0”Œprotobuf >=3.19.1,<=3.20.1”Œpython >=3.7”Œpyyaml >=5.3.1”t”h9h?h@Œ
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r-jsonlite”Œ
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python 3.*”Œscipy”t”h9h?h@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×ìÿ¢ÎÙhEJJ hFˆubh)”}”(hŒlibxinerama-devel-cos6-x86_64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ9libxinerama-devel-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ f2ec6c59e33705bc518226b7b9cc1755”h.Œghttps://conda.anaconda.org/conda-forge/noarch/libxinerama-devel-cos6-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@de930e3455e8d1abf86ff459a054fa00db24a81c36341e50ed1d7ca42a0d2a89”h2NhNh3Œ&libxinerama-cos6-x86_64 ==1.1.3 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ3Õ×PhEMn'hFˆubh)”}”(hŒrb-jekyll-gist”h#Œ1.5.0”h%Œ
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youtube-dl”h#Œ
2021.12.17”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*youtube-dl-2021.12.17-pyhd8ed1ab_0.tar.bz2”h+Œ 316c81cadd5eeaef3f902fd2e4b95fc4”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/youtube-dl-2021.12.17-pyhd8ed1ab_0.tar.bz2”h0Œ@bdb5095ec282a2d55023feb5284a2beb15a968c3333ed23d5654e2bc1e241c73”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLicenseRef-Public-Domain”hBŒOTHER”hDGAØp48VhEJÉr hFˆubh)”}”(hŒr-apatables”h#Œ2.0.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-apatables-2.0.8-r40hc72bb7e_0.tar.bz2”h+Œ 2b271c684e4d152c2285fe98d1242144”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-apatables-2.0.8-r40hc72bb7e_0.tar.bz2”h0Œ@0f399af702dbf0eaf5804943e0b251618975d5522fcc76daa1d08b1991b0ae44”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œr-broom”Œr-car”Œr-dplyr”Œr-mbess”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGA×üßë&¸RhEJÍç hFˆubh)”}”(hŒr-kutils”h#Œ1.70”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-kutils-1.70-r40hc72bb7e_0.tar.bz2”h+Œ 6b50af0022d394b3fe35e8f29572aa2a”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-kutils-1.70-r40hc72bb7e_0.tar.bz2”h0Œ@408171ebe12d28e3e4abd6acdef346481f102b3a666feb91cfdb0daf66b453e9”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-foreign”Œ
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setuptools”‡”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖè¬qã"ÑhEJ1‡ hFˆubh)”}”(hŒr-egg”h#Œ0.4.5”h%Œr35h6115d3f_1”h'Khhh(h)hŒ!r-egg-0.4.5-r35h6115d3f_1.tar.bz2”h+Œ ed46e17c5f44d6582aabaf5172f07b49”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-egg-0.4.5-r35h6115d3f_1.tar.bz2”h0Œ@1ad16013510b7555a96d3e3d769e0b45d595b398f6be1b997cbb9cad0da4816a”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-gridextra >=2.3”Œr-gtable”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×M€£×hEJŸÐ hFˆubh)”}”(hŒr-clusterses”h#Œ2.6.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-clusterses-2.6.5-r41hc72bb7e_1.tar.bz2”h+Œ 8bb92e872b005ab24fba96c1ae246dca”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-clusterses-2.6.5-r41hc72bb7e_1.tar.bz2”h0Œ@443f01486d9ef23cdb8df711931d8b56f2c08fbee45214e0bb33c5bd818ac1d0”h2NhNh3(Œr-aer”Œr-base >=4.1,<4.2.0a0”Œr-dfidx”Œ	r-formula”Œr-lmtest”Œr-mlogit”Œr-plm”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÓpšÌjhEJ” hFˆubh)”}”(hŒ	r-stanova”h#Œ0.3.0”h%Œr40ha770c72_0”h'K hhh(h)hŒ%r-stanova-0.3.0-r40ha770c72_0.tar.bz2”h+Œ a818ebc3a20692da018bff825568778b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stanova-0.3.0-r40ha770c72_0.tar.bz2”h0Œ@33490cad7452a7fa7331a0119ba7ddfeef08f87bb07998d7b46bc91a6a324294”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-coda”Œ	r-emmeans”Œr-lme4”Œr-mass”Œr-rstan”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ@«^Åp¤hEJl hFˆubh)”}”(hŒpygeoif”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pygeoif-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ f9e4cabd773a9965062b0eea06e00f5a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pygeoif-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e089d01edee2d11f4043e741b3e359011f08b9ebfce09d09df22e459be1128fe”h2NhNh3Œpython >=3.7”Œtyping-extensions”†”h9h?h@ŒLGPL-2.1-or-later”hDGAØÎ³‹÷®hEM ŸhFˆubh)”}”(hŒ
pyclibrary”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%pyclibrary-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 08cf406af71b13b2f2c9d10d0554530f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyclibrary-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6cacb3bd3ef4087a37e64fe53cbab651801c18a541dcaa7d8e94593f768fb220”h2NhNh3Œpyparsing >=2.3.1,<4”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÑ(8ÄœhEJ—X hFˆubh)”}”(hŒr-knitrbootstrap”h#Œ1.0.2”h%Œr35h6115d3f_1”h'Khhh(h)hŒ,r-knitrbootstrap-1.0.2-r35h6115d3f_1.tar.bz2”h+Œ fbfa452b2ea6d4fef6c0c6a97c985c33”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitrbootstrap-1.0.2-r35h6115d3f_1.tar.bz2”h0Œ@25c9baf42f166c16c7e9bdbb519797e3818a572d48d968fd6cd626a276adf208”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-knitr >=1.5.25”Œ
r-markdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Lå÷  ÅhEJp. hFˆubh)”}”(hŒr-randomcolor”h#Œ1.1.0.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ+r-randomcolor-1.1.0.1-r40h6115d3f_1.tar.bz2”h+Œ 9745ae740b118ead6c696c606ee87bb1”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-randomcolor-1.1.0.1-r40h6115d3f_1.tar.bz2”h0Œ@926e0aabd0ed4acfe373fa32d18da571da32e15f1946dab89e315d5193364f41”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”Œr-colorspace”Œr-rtsne”Œr-scales”Œ	r-stringr”Œr-v8”t”h9hºh@ŒCC0”hBŒCC”hDGA×¬|Õ`BhEMÖ†hFˆubh)”}”(hŒr-radix”h#Œ0.6”h%Œr351h6115d3f_0”h'K hhh(h)hŒ"r-radix-0.6-r351h6115d3f_0.tar.bz2”h+Œ 024bf50b397469c310af37a14d6c5886”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-radix-0.6-r351h6115d3f_0.tar.bz2”h0Œ@49347f4e850b2288bd25d53b4474838c077d496fe7c2939ddf8f9dbd1b099e10”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downloader”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œr-png”Œ
r-progress”Œr-rmarkdown >=1.10”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGA×B{$‹DhEJê hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyh1d7be83_3”h'Khhh(h)hŒ+jupyterlab_email-0.2.4-pyh1d7be83_3.tar.bz2”h+Œ fa2eeae92b23fe8f90078bf53b508803”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyh1d7be83_3.tar.bz2”h0Œ@055371c49b64eef57b5f9961044ed3c0d5316e0bbfa1e6da8188324ccf7f3a49”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7”t”h6Œ#jupyterlab-email >=0.2.4,<0.2.5.0a0”…”h9h?h@Œ
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Apache-2.0”hBŒAPACHE”hDGAØÄá3×
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Apache-2.0”hBŒAPACHE”hDGAØ^l±©ühEM°XhFˆubh)”}”(hŒlibxxf86vm-cos7-x86_64”h#Œ1.1.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ2libxxf86vm-cos7-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h+Œ 11db4f3d976220d3303b910f20504c19”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-x86_64-1.1.4-hdf0574f_1102.tar.bz2”h0Œ@9a94c04ec2a799b453521b0a4dc231694026c56f299ac7d9d2317d21120ad2f8”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+»q7LhEM08hFˆubh)”}”(hŒgrove”h#Œ1.7.0”h%Œpyh24bf2e0_0”h'K hhh(h)hŒ grove-1.7.0-pyh24bf2e0_0.tar.bz2”h+Œ f851fa535a6d33ec056612bde1a2a094”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/grove-1.7.0-pyh24bf2e0_0.tar.bz2”h0Œ@f01b9fa1ad3e17359069d0e3fcaecfd8ebf5a0043991a57a8ccb3e022a1aa8f3”h2NhNh3(Œfuncsigs”Œnetworkx”Œnumpy”Œpyquil”Œpython”Œqutip”Œscipy”t”h9h?h@Œ
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pyposeidon”h#Œ0.6.0”h%Œpyhc9b28e1_2”h'Khhh(h)hŒ%pyposeidon-0.6.0-pyhc9b28e1_2.tar.bz2”h+Œ c212dc019aadde7294744f9e430f2a2f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyposeidon-0.6.0-pyhc9b28e1_2.tar.bz2”h0Œ@06f4a8e7c3b1fd2be0c746c87ca65287619ec1e28ba8bdc11093be04639bb51c”h2NhNh3(Œcartopy <=0.20”Œffmpeg”Œgeoviews >=1.9.4”Œ	holoviews”Œhvplot”Œipympl”Œ
itkwidgets”Œmatplotlib-base >=3.3”Œmayavi”Œ"pyposeidon-base 0.6.0 pyhd8ed1ab_2”Œpython >=3.8,<3.9”Œspatialpandas”t”h9h?h@ŒEUPL-1.2”hDGAØ‘ ¶ÔZhEMj"hFˆubh)”}”(hŒmne-base”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#mne-base-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 0da0b0e7cde8cb8f6cca5eb8e6eccc79”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/mne-base-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@bfe5941ff94cd5fc5c1b9f8e0facfdedfa1ff9bcf016b4316c518e98d903327f”h2NhNh3(Œ	decorator”Œjinja2”Œmatplotlib-base >=3.1.0”Œnumpy >=1.18.1”Œ	packaging”Œpooch >=1.5”Œpython >=3.7”Œscipy >=1.4.1”Œ
setuptools”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŸDoÍ²-hEJ:°s hFˆubh)”}”(hŒvoila”h#Œ0.2.16”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!voila-0.2.16-pyhd8ed1ab_0.tar.bz2”h+Œ 8c0dac7e549379fa780cc6617b79cae9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/voila-0.2.16-pyhd8ed1ab_0.tar.bz2”h0Œ@774ad94e5c8564f231304c4e529924c7c1e2d9136e35cb8e8d9b67d5dbc0520d”h2NhNh3(Œjupyter_client >=6.1.3,<7”Œjupyter_server >=0.3.0,<2”Œnbclient >=0.4.0,<0.6”Œnbconvert >=6.0.0,<7”Œpython >=3.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØVÓ«¬hEJ¦Þ hFˆubh)”}”(hŒ
r-plotluck”h#Œ1.1.1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ&r-plotluck-1.1.1-r40h6115d3f_2.tar.bz2”h+Œ fcb7a12fa85f592f168db4ebf05a1f4d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plotluck-1.1.1-r40h6115d3f_2.tar.bz2”h0Œ@02c7ef9fb109c63f3f95443c1dd2320c7741d9791ba45ae0b58f40fcff020bd2”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-ggplot2 >=2.2.0”Œr-hexbin >=1.27.1”Œr-hmisc >=3.17.4”Œr-plyr >=1.8.4”Œr-quantreg >=5.26”Œr-rcolorbrewer >=1.1.2”Œr-scales >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬—õã¶FhEJÔÍ hFˆubh)”}”(hŒ
r-gwidgets”h#Œ0.0_54.2”h%Œr36_1”h'Khhh(h)hŒ!r-gwidgets-0.0_54.2-r36_1.tar.bz2”h+Œ 3c742ef199a36704a94ba118bbb7a3d3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets-0.0_54.2-r36_1.tar.bz2”h0Œ@be938e9a267563608258b40e2d2a2ea2cc9a7a74bf9f11742ca6ef617ae26f5c”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«äý«"ÑhEJªŒ hFˆubh)”}”(hŒmesa-libgl-cos6-x86_64”h#Œ11.0.7”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3mesa-libgl-cos6-x86_64-11.0.7-h9d98e8f_1104.tar.bz2”h+Œ cda17f2ee934c8acc685e1c9d5e94b81”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos6-x86_64-11.0.7-h9d98e8f_1104.tar.bz2”h0Œ@83125ed372414d338ade3ee344aace8328d527e6e1529f39420039ba95da00c1”h2NhNh3(Œ"libdrm-cos6-x86_64 >=2.4.24 *_1104”Œlibx11-cos6-x86_64 >1.6 *_1104”Œ,mesa-dri-drivers-cos6-x86_64 ==11.0.7 *_1104”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒMIT”hBŒMIT”hDGA×É}è!7LhEJ‰Ò hFˆubh)”}”(hŒtrainstation”h#Œ1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%trainstation-1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 931b32e19edd45f35056128a691c2d73”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/trainstation-1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a90bf31311b7e28fd9354746b49ad8724e5e8ac71a06502948c3026c611d7ead”h2NhNh3(Œnumpy >=1.12”Œpython >=3.6”Œscikit-learn”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØgW7\)hEML\hFˆubh)”}”(hŒr-mlgt”h#Œ0.16”h%Œ	r351_1000”h'Mèhhh(h)hŒr-mlgt-0.16-r351_1000.tar.bz2”h+Œ b37b4df682dd7a06c872aadba07ed929”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-mlgt-0.16-r351_1000.tar.bz2”h0Œ@32362cf72f93898cfc08e945b59e09cdd8ad84f45521f9be536b952f7a2c6586”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-seqinr”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAÖþù×Ê^5hEJQ hFˆubh)”}”(hŒlibtiff-cos6-x86_64”h#Œ3.9.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ/libtiff-cos6-x86_64-3.9.4-h9b0a68f_1105.tar.bz2”h+Œ 315dec6d2fe355a47d07a29822b1c540”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libtiff-cos6-x86_64-3.9.4-h9b0a68f_1105.tar.bz2”h0Œ@3dfb68b7d80e248217cc40ac62487beacedfef324ed77f4dd60d40bc8e437ed1”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@Œlibtiff”hBŒOther”hDGAØ@X ¥VhEJÊœ hFˆubh)”}”(hŒlibuuid-cos7-ppc64le”h#Œ2.23.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libuuid-cos7-ppc64le-2.23.2-h9b0a68f_105.tar.bz2”h+Œ 7e1727b56f568a6ef643f57bc9858d53”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libuuid-cos7-ppc64le-2.23.2-h9b0a68f_105.tar.bz2”h0Œ@317b16e1ba1fa37022ceee8781e57a546acbf33c1eb81753a3f4cdc089af5019”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@†åÌÍhEMÁ<hFˆubh)”}”(hŒjupyterlab_email”h#Œ0.2.4”h%Œpyhc268e32_0”h'K hhh(h)hŒ+jupyterlab_email-0.2.4-pyhc268e32_0.tar.bz2”h+Œ 581a6d7fd343aae7d1cd3b4cc830c112”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_email-0.2.4-pyhc268e32_0.tar.bz2”h0Œ@436244f277842eff75035e378b0055aa3ebcc9f354fa6c3b35f7418307eecf4a”h2NhNh3(Œbeautifulsoup4 >=4.9.1”Œemails >=0.6”Œipython”Œjupyterlab >=3.2.0”Œpandas >=0.23.4”Œpython >=3.7,<=3.9”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ˜J ÔþhEMÒ®hFˆubh)”}”(hŒ	autoflake”h#Œ1.7.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$autoflake-1.7.5-pyhd8ed1ab_0.tar.bz2”h+Œ a5bf0baee797a01c66defd81e4a3a502”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/autoflake-1.7.5-pyhd8ed1ab_0.tar.bz2”h0Œ@49a3603932b799ac4948582378b0c8afcc4241015378358df13c1fbac82e889b”h2NhNh3Œpyflakes >=1.1.0”Œpython >=2.7”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÒDèÿ
=hEM^NhFˆubh)”}”(hŒ
r-clustree”h#Œ0.5.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-clustree-0.5.0-r40hc72bb7e_0.tar.bz2”h+Œ 3450f2d0d7f69af7de07eca90ff40255”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-clustree-0.5.0-r40hc72bb7e_0.tar.bz2”h0Œ@50aa6323b43bcd51fbffe89faaee584c3a5f5961802cf04ab2770c86a941ed1c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-checkmate”Œr-dplyr”Œ	r-ggplot2”Œr-ggraph”Œ	r-ggrepel”Œr-igraph”Œr-rlang”Œr-tidygraph”Œ	r-viridis”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ­êË"ÑhEJ¬$ hFˆubh)”}”(hŒr-repmis”h#Œ0.5”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-repmis-0.5-r35h6115d3f_0.tar.bz2”h+Œ d22a0fb82001f65d660193c3e4d0b382”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-repmis-0.5-r35h6115d3f_0.tar.bz2”h0Œ@c3978a01bb8c8a7d46c7ee5fe884fe725bb2f23473156c7ed4071a1eb4ce7ab5”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-data.table”Œr-digest”Œr-httr”Œr-plyr”Œ	r-r.cache”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×¯Ä”“hEJ hFˆubh)”}”(hŒr-traits”h#Œ0.5.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-traits-0.5.0-r36h6115d3f_0.tar.bz2”h+Œ ef1896d8f1e0b6d125acbf8fc7a5805e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-traits-0.5.0-r36h6115d3f_0.tar.bz2”h0Œ@720b267b20db70659f8d7b0889b86844f1d9be2348e12e6bafcd06e785d5c6b5”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crul >=0.6.0”Œr-data.table >=1.9.6”Œr-hoardr”Œr-httr >=1.1.0”Œr-jsonlite >=0.9.19”Œr-readr >=1.1.1”Œr-rvest >=0.3.1”Œr-taxize >=0.7.4”Œr-tibble >=1.3.4”Œr-xml2 >=0.1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÑøµãThEJb hFˆubh)”}”(hŒlibbonobo-cos7-aarch64”h#Œ2.32.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libbonobo-cos7-aarch64-2.32.1-h9d98e8f_104.tar.bz2”h+Œ 8ca7a40380a15593b6026e340088ae13”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-aarch64-2.32.1-h9d98e8f_104.tar.bz2”h0Œ@3d76a0bf09365bc0efc5467fe55322083acb3b93342e52c1004bf451e197a042”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×Éy(®hEJs hFˆubh)”}”(hŒcfgrib”h#Œ0.9.9.1”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#cfgrib-0.9.9.1-pyhd8ed1ab_1.tar.bz2”h+Œ 55c037a20ba22e5904348c20c9895268”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.9.1-pyhd8ed1ab_1.tar.bz2”h0Œ@a24ab3d908998da077bebc8979743080a1cbbb192da0bd28eec574c93c4d771d”h2NhNh3(Œattrs >=19.2”Œclick”Œnumpy”Œpython >=3.7”Œpython-eccodes >=2020.06”Œ
setuptools”Œxarray >=0.15”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØZa(ÉxÕhEM––hFˆubh)”}”(hŒr-firedanger”h#Œ1.1.0”h%Œr41ha770c72_1”h'Khhh(h)hŒ(r-firedanger-1.1.0-r41ha770c72_1.tar.bz2”h+Œ 8bada48c09fbaa20408c0ae26b43b42f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-firedanger-1.1.0-r41ha770c72_1.tar.bz2”h0Œ@048af6d7805f3fda866944086d375901632ea023b45c17813c891fb081caf495”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œ
r-magrittr”Œr-transformer >=1.4.7”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒ®×Àr°hEJú hFˆubh)”}”(hŒ
r-lmertest”h#Œ3.1_3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-lmertest-3.1_3-r40hc72bb7e_0.tar.bz2”h+Œ 128a153d095f3ffeecfb478b2cb54443”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lmertest-3.1_3-r40hc72bb7e_0.tar.bz2”h0Œ@b5792069bac2118c9f7d99c106f38dd8898a6c552bed7089fd6f1f136f65ff0d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-lme4 >=1.1_10”Œr-mass”Œ
r-numderiv”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+« ÔþhEJ‚ hFˆubh)”}”(hŒlibxcursor-devel-cos6-x86_64”h#Œ1.1.14”h%Œhdf0574f_102”h'Kfhhh(h)hŒ8libxcursor-devel-cos6-x86_64-1.1.14-hdf0574f_102.tar.bz2”h+Œ ade136cd0a3a68cd45670cc2735100f6”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos6-x86_64-1.1.14-hdf0574f_102.tar.bz2”h0Œ@466cff49d2e46ad2a524d1c2cf6c37f42ea0be16934d6daed9431daba85b19bd”h2NhNh3Œ%libxcursor-cos6-x86_64 ==1.1.14 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ$Ù©ühEMÃ6hFˆubh)”}”(hŒr-mailr”h#Œ0.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ!r-mailr-0.8-r41hc72bb7e_1.tar.bz2”h+Œ 401c8315c46caee99f617ccc503be7f5”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-mailr-0.8-r41hc72bb7e_1.tar.bz2”h0Œ@1e68ccb7ba444b1a5343334a230683798a345830814a89657315eb3362b58ee8”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œ	r-r.utils”Œr-rjava”Œ	r-stringr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒSŽ´(öhEJQÅ hFˆubh)”}”(hŒ
r-solarius”h#Œ0.3.0.2”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ+r-solarius-0.3.0.2-r40hc72bb7e_1002.tar.bz2”h+Œ 7b4711968c78a4c999f807ec216a8cf4”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-solarius-0.3.0.2-r40hc72bb7e_1002.tar.bz2”h0Œ@b46ecfcb8a2bcbc05dc1352198a7e36ecec713dde5921f89cda81dd78e738537”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œ	r-ggplot2”Œr-plyr >=1.8.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+°ÖÖVhEJ[³
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Apache-2.0”hBŒAPACHE”hDGA×x9óýôhEMP,hFˆubh)”}”(hŒpython-jose”h#Œ3.3.0”h%Œpyh6c4a22f_1”h'Khhh(h)hŒ&python-jose-3.3.0-pyh6c4a22f_1.tar.bz2”h+Œ 8fa19760945f1c3754c9419c6459f7e0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/python-jose-3.3.0-pyh6c4a22f_1.tar.bz2”h0Œ@31bcedfa1803116e589602a24db4a01dbda2e0df819f497cb5d48c29d17631ec”h2NhNh3(Œcryptography”Œecdsa !=0.15”Œpyasn1”Œpython >=3.6”Œrsa”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ5¾õIXhEJJÄ hFˆubh)”}”(hŒ
r-dygraphs”h#Œ1.1.1.6”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ,r-dygraphs-1.1.1.6-r351h6115d3f_1001.tar.bz2”h+Œ 95d29b862dca2d2790f06b9d668c6ded”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-dygraphs-1.1.1.6-r351h6115d3f_1001.tar.bz2”h0Œ@6f407ae9265caf2159653903e50ea5a1e2d46820af1d5e3b8fd3282314804155”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-htmltools >=0.3.5”Œr-htmlwidgets >=0.6”Œ
r-magrittr”Œr-xts >=0.9_7”Œr-zoo >=1.7_10”t”h9hºh@ŒMIT”hBŒMIT”hDGAÖü…ýó¶hEJæ& hFˆubh)”}”(hŒpidly”h#Œ0.2.7”h%Œpyhd8ed1ab_1003”h'Mëhhh(h)hŒ#pidly-0.2.7-pyhd8ed1ab_1003.tar.bz2”h+Œ ba95fe830d329439fe98e4c2e50252bd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pidly-0.2.7-pyhd8ed1ab_1003.tar.bz2”h0Œ@71cd7acf574a1ceaeb403d8bcfac4aac1e72e216d20e27da49bdef4a33b7aae0”h2NhNh3(Œnumpy”Œpexpect”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØb²\hEMChFˆubh)”}”(hŒtidy_headers”h#Œ1.0.3”h%Œpyh050c7b8_0”h'K hhh(h)hŒ'tidy_headers-1.0.3-pyh050c7b8_0.tar.bz2”h+Œ c3b33927c737d4b8845322d0c0044e89”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/tidy_headers-1.0.3-pyh050c7b8_0.tar.bz2”h0Œ@e2ed950560a165632430afa87d049f538ba0f453d54d42e458255853488e03f8”h2NhNh3Œnumpy”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ÿ˜…ë33hEMB&hFˆubh)”}”(hŒ	r-dfoptim”h#Œ	2020.10_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-dfoptim-2020.10_1-r41hc72bb7e_0.tar.bz2”h+Œ c3f7737157052e8aa162097f57b48eff”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dfoptim-2020.10_1-r41hc72bb7e_0.tar.bz2”h0Œ@ceebc78b79d5825664253974ea6ad0f6de5a09b07b2a768b4765fbbc4e5d7e89”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+{ÌjhEJÊj hFˆubh)”}”(hŒr-extrafontdb”h#Œ1.0”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ*r-extrafontdb-1.0-r41hc72bb7e_1004.tar.bz2”h+Œ e280eface6df2a5f92147850db05ca5d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-extrafontdb-1.0-r41hc72bb7e_1004.tar.bz2”h0Œ@b5d3a9cfd3799f203f335a347b4c89c928ba2c25b5ecd0d7b26237583fbd1050”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐªÒ¤“hEMÍNhFˆubh)”}”(hŒr-furrr”h#Œ0.3.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-furrr-0.3.1-r40hc72bb7e_0.tar.bz2”h+Œ abc4d8de9a2e9cb2ffaf0bfeb319b82b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-furrr-0.3.1-r40hc72bb7e_0.tar.bz2”h0Œ@ef296ca8541a877dbc2cb9f154af79fb346f15c106c6b64ec5eada18f190b262”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
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matplotlib”Œnumpy”Œpandas”Œ
python >=3”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ZÞ^—hEM„ShFˆubh)”}”(hŒpixman-cos6-x86_64”h#Œ0.32.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ/pixman-cos6-x86_64-0.32.8-ha826a6f_1103.tar.bz2”h+Œ eb56b74ca65b404f477dfebed91f5591”h.Œ]https://conda.anaconda.org/conda-forge/noarch/pixman-cos6-x86_64-0.32.8-ha826a6f_1103.tar.bz2”h0Œ@d452b5521b804732ee05e9a8ae0f3f34e3b18680053051e1476f2adfbe8b26b0”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0ÛÂhEJo) hFˆubh)”}”(hŒ
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r-smoothie”Œ
r-spatstat”Œ	r-turboem”Œ
r-waveslim”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÛ®‡+hEJß	< hFˆubh)”}”(hŒr-twfy”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ"r-twfy-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ 2cb806e521373943e7ea0589e497aeec”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-twfy-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@dd4cdbf880e4006f1e096be276994ede63ccd13e182b84aac53bfba143f922f3”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-httr”Œ
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pint >=0.8”Œpyarrow >=0.9”Œpython >=3.5”Œpython-dateutil >=2.6”Œrequests”Œrtree >=0.7”Œruamel.yaml >=0.15.50”Œshapely >=1.3”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ö‚?ún˜hEJ)(
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python >=3”Œrequests-oauthlib”‡”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ?¼¤9XhEM@{hFˆubh)”}”(hŒibacm-cos7-aarch64”h#Œ22.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-ibacm-cos7-aarch64-22.4-h9b0a68f_1105.tar.bz2”h+Œ ddd4f45da6dc5ba49df00263b1360a55”h.Œ[https://conda.anaconda.org/conda-forge/noarch/ibacm-cos7-aarch64-22.4-h9b0a68f_1105.tar.bz2”h0Œ@23ed48dafd864e4204935bd73abafbc8356caf7ec0400e04e4b982e688ec10fa”h2NhNh3(Œ$libibumad-cos7-aarch64 ==22.4 *_1105”Œ%libibverbs-cos7-aarch64 ==22.4 *_1105”Œ$rdma-core-cos7-aarch64 ==22.4 *_1105”Œsysroot_linux-aarch64 2.17.*”t”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@ùÐ  hEJúo hFˆubh)”}”(hŒnumactl-devel-cos6-x86_64”h#Œ2.0.9”h%Œh2da7399_100”h'Kdhhh(h)hŒ4numactl-devel-cos6-x86_64-2.0.9-h2da7399_100.tar.bz2”h+Œ e1cb4807c5ba13cede1a17ff6db6f767”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/numactl-devel-cos6-x86_64-2.0.9-h2da7399_100.tar.bz2”h0Œ@ca7e22c6ad8e85f09781c2d35ba6c1d72b99bf46d41e99b23a98a0c80b49de9e”h2NhNh3Œnumactl-cos6-x86_64 2.0.9”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2/GPLv2”hBŒGPL2”hDGA×Ä´¡èÄœhEMÔhFˆubh)”}”(hŒnapari-math”h#Œ0.0.1b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(napari-math-0.0.1b0-pyhd8ed1ab_0.tar.bz2”h+Œ ffc58e0348c11361dc5279ba5caf228d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/napari-math-0.0.1b0-pyhd8ed1ab_0.tar.bz2”h0Œ@ca6f9ed51b9dcaebd8a074e9f4e3baefe3bebcf459c5811f67510aab160566ae”h2NhNh3Œnapari”Œnumpy”Œpython >=3.7”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ³Œ9XhEM§)hFˆubh)”}”(hŒalsa-lib-cos7-ppc64le”h#Œ1.1.8”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0alsa-lib-cos7-ppc64le-1.1.8-h9d98e8f_104.tar.bz2”h+Œ 2865a2ed678390774d49afb14d137a63”h.Œ^https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos7-ppc64le-1.1.8-h9d98e8f_104.tar.bz2”h0Œ@2eeec555dae5579e34b6dc5d8c6058bbde84edf95e41c5ca280c275c867b7d42”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉyÜ§;dhEJQ† hFˆubh)”}”(hŒpkgconfig-cos7-aarch64”h#Œ0.27.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2pkgconfig-cos7-aarch64-0.27.1-h9d98e8f_104.tar.bz2”h+Œ bbea7d7d3887fc86fcd0b18e62eee864”h.Œ`https://conda.anaconda.org/conda-forge/noarch/pkgconfig-cos7-aarch64-0.27.1-h9d98e8f_104.tar.bz2”h0Œ@628ca7fac19fd83401b89c87144e980348979006dd0d2ff8be1b5ee886943242”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Éyrõ¸hEM+ÐhFˆubh)”}”(hŒr-osmar”h#Œ1.1_7”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-osmar-1.1_7-r41hc72bb7e_1003.tar.bz2”h+Œ dd2ca0fba6e86b3bb6e48626ac236ee7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-osmar-1.1_7-r41hc72bb7e_1003.tar.bz2”h0Œ@17b416515679c54462c9b44b1e034100386210ba074e78b4d0dc3275aa3d1a24”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-geosphere”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+ÞÈ´hEJˆ‹ hFˆubh)”}”(hŒipyregulartable”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*ipyregulartable-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ d1f618a25fe82b5c3915cec64f7f64bc”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/ipyregulartable-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b63dad3ca89c5f444e195b498a4dd2d3f131a139eb5c509aaafc35bc8cad0cb6”h2NhNh3(Œipywidgets >=7.5.1”Œnumpy”Œpandas >=0.22”Œpython >=3.6”t”h9h?h@Œ
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~úhEMä5hFˆubh)”}”(hŒr-fontliberation”h#Œ0.1.0”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ/r-fontliberation-0.1.0-r36h6115d3f_1003.tar.bz2”h+Œ 60891a97b9be608a82f12fa6925666eb”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-fontliberation-0.1.0-r36h6115d3f_1003.tar.bz2”h0Œ@304c5d8704190b2a670c90d61a875faf4938cf319bb50ee2661b21534429f270”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒOFL-1.1”hBŒOTHER”hDGA×«ê”èƒhEJÝlA hFˆubh)”}”(hŒsqlalchemy-utils”h#Œ0.37.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,sqlalchemy-utils-0.37.9-pyhd8ed1ab_0.tar.bz2”h+Œ 8929fcdcfbef2bf249de8ba0e7222185”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/sqlalchemy-utils-0.37.9-pyhd8ed1ab_0.tar.bz2”h0Œ@b5619eb3b6f8857a7825b18d5e1e8308a3e6501c962565899079c2d1396ec773”h2NhNh3(Œanyjson >=0.3.3”Œarrow >=0.3.4”Œbabel >=1.3”Œcolour >=0.0.4”Œcryptography >=0.6”Œfurl >=0.4.1”Œintervals >=0.7.1”Œpasslib >=1.6,<2.0”Œpendulum >=2.0.5”Œphonenumbers >=5.9.2”Œpython >=3.4”Œpython-dateutil”Œsix”Œsqlalchemy >=1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ[Ä²¤9XhEMfûhFˆubh)”}”(hŒnapari-spacetx-explorer”h#Œ0.1.8”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2napari-spacetx-explorer-0.1.8-pyhd8ed1ab_0.tar.bz2”h+Œ 9126744203747ae34ed89579ea7c6bc1”h.Œ`https://conda.anaconda.org/conda-forge/noarch/napari-spacetx-explorer-0.1.8-pyhd8ed1ab_0.tar.bz2”h0Œ@2cabed1baedeb2e50d89198ba3967d03ed05f7285722285c984aaa0752d9fb4d”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpandas”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØCéƒSøhEMv,hFˆubh)”}”(hŒr-wesanderson”h#Œ0.3.6”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ,r-wesanderson-0.3.6-r40h6115d3f_1003.tar.bz2”h+Œ 43825f0cb30156ba48f2ef0d76122134”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-wesanderson-0.3.6-r40h6115d3f_1003.tar.bz2”h0Œ@5af912b1f11676cc1ff7bfe2ee6c24befec304f0b8a17fcf1993b45d45736be6”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬J(ùG®hEM3ahFˆubh)”}”(hŒr-babynames”h#Œ1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-babynames-1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ b7f90194c89f8ffc279ca22081006136”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-babynames-1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@46f1da76969041fad8b2feadd70536f5fea1b2120b7b753718476657aa330e24”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-tibble”†”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØÒ©Ž1‡hEJ' U hFˆubh)”}”(hŒcopy-jdk-configs-cos7-ppc64le”h#Œ3.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7copy-jdk-configs-cos7-ppc64le-3.3-h9b0a68f_1105.tar.bz2”h+Œ 109b2c1feafb50f007619ae11dd4346d”h.Œehttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-ppc64le-3.3-h9b0a68f_1105.tar.bz2”h0Œ@8b6f3d51b4b1c64bb9ae1a4c1c1816661e0053c6079e321a6274a71dfe4693cb”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@‰øMÓhEM°&hFˆubh)”}”(hŒr-pca3d”h#Œ0.10.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-pca3d-0.10.2-r40hc72bb7e_0.tar.bz2”h+Œ f2f69a20932ea0036664acc04e42c841”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pca3d-0.10.2-r40hc72bb7e_0.tar.bz2”h0Œ@cf0c828c197faf1214f715f2c2252348cb51287bf80aeff02c98fc9072ecb7c9”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ellipse”Œr-rgl”‡”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ,.Y?
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r-rngtools”h#Œ1.5.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-rngtools-1.5.2-r42hc72bb7e_1.tar.bz2”h+Œ 85c52f945135f4213e852153c357ade0”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rngtools-1.5.2-r42hc72bb7e_1.tar.bz2”h0Œ@c041a920e044eeda005c39586157d93b5cef279dc7f575d470848a91313f7c66”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-digest”Œr-pkgmaker >=0.20”Œ	r-stringr”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÐÂ0ÔþhEJd‰ hFˆubh)”}”(hŒ
statistics”h#Œ1.0.3.5”h%Œpy_1002”h'Mêhhh(h)hŒ"statistics-1.0.3.5-py_1002.tar.bz2”h+Œ fc8e59a631430e404defd87ebf9ca04e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/statistics-1.0.3.5-py_1002.tar.bz2”h0Œ@b97fa5111206453d4855e44c7f80b1bc5af9d9e03f311ebabc743cf3b41ed820”h2NhNh3Œdocutils >=0.3”Œ	python <3”†”h9h?h@Œ
Python-2.0”hBŒPSF”hDGA×D«ãÎ$ÝhEM;hFˆubh)”}”(hŒrdma-core-cos7-ppc64le”h#Œ22.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0rdma-core-cos7-ppc64le-22.4-h9b0a68f_105.tar.bz2”h+Œ df82a008105854ab5804429fe1091fa0”h.Œ^https://conda.anaconda.org/conda-forge/noarch/rdma-core-cos7-ppc64le-22.4-h9b0a68f_105.tar.bz2”h0Œ@e0dee61ae3aebe428824ab704c06a7dc9bfb10c1a0dfaa1931e5b3cf56633ce2”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@‡I‰7hEM5¸hFˆubh)”}”(hŒcelery-redbeat”h#Œ0.13.0”h%Œpy_0”h'K hhh(h)hŒ"celery-redbeat-0.13.0-py_0.tar.bz2”h+Œ 2a1571857ee4a67df4a045b4a1c24f89”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/celery-redbeat-0.13.0-py_0.tar.bz2”h0Œ@10fcca2d573e8be1e36bbc02adadcb243343a771692b965115457b9b4ffddf20”h2NhNh3(Œcelery”Œpython”Œpython-dateutil”Œredis-py”Œtenacity”t”h9h?h@ŒApache Software”hBŒAPACHE”hDGA×}ÿ`r°hEM×HhFˆubh)”}”(hŒ+_current_repodata_hack_gcc_linux_ppc64le_84”h#Œ0.0.1”h%j3G h'K hhh(h)hŒ;_current_repodata_hack_gcc_linux_ppc64le_84-0.0.1-0.tar.bz2”h+Œ 137d5828171c8ccb307fd2d2c5114c2c”h.Œihttps://conda.anaconda.org/conda-forge/noarch/_current_repodata_hack_gcc_linux_ppc64le_84-0.0.1-0.tar.bz2”h0Œ@5777454451a7e8c9147817c64fbf98748b8d5c230f9fe4ceabb6e83b3fc5b736”h2NhNh3Œgcc_linux-ppc64le 8.4.*”…”h9hºh@ŒLicenseRef-OTHER”hDGA×ÖöMß;dhEMdhFˆubh)”}”(hŒr-anom”h#Œ0.5”h%Œr35_1001”h'Méhhh(h)hŒr-anom-0.5-r35_1001.tar.bz2”h+Œ 25be691fc5ed1f9009eb7bcfc4d1ce4b”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-anom-0.5-r35_1001.tar.bz2”h0Œ@d4124c63377a407ec10db258ee213cbd4b9b7be59525f38dbc40c934bf1c1203”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-mcpan”Œ
r-multcomp”Œ
r-nparcomp”Œ	r-simcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M-’‘XhEJ]2 hFˆubh)”}”(hŒelastic”h#Œ5.1.0.17”h%Œpy_1”h'Khhh(h)hŒelastic-5.1.0.17-py_1.tar.bz2”h+Œ 63078f5c2f96b0e9d2f110887fe64242”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/elastic-5.1.0.17-py_1.tar.bz2”h0Œ@a804a136d332ad34f03cc2c4860a20078581f08972b13740450beabf7abca4cb”h2NhNh3(Œase”Œclick”Œfuture”Œnumpy”Œpython”Œscipy”Œspglib”t”h9h?h@ŒGPL-3.0”hBŒGPL3”hDGAÖÚW´3…hEJøb hFˆubh)”}”(hŒ
dtool_info”h#Œ0.16.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&dtool_info-0.16.2-pyhd8ed1ab_0.tar.bz2”h+Œ 43b6d45de23dc4104016e09a6630e5db”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/dtool_info-0.16.2-pyhd8ed1ab_0.tar.bz2”h0Œ@82b208bb530fad1cde11c9713eb909befda4e0c52a302546fb170756a2d29631”h2NhNh3(Œclick”Œ	dtool_cli”Œ	dtoolcore”Œjinja2”Œpygments”Œpython >=3.6”Œ
setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ4«;çmhEM.2hFˆubh)”}”(hŒnapari-animated-gif-io”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1napari-animated-gif-io-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 0b884d01215e1bb3bbc9354990e564c6”h.Œ_https://conda.anaconda.org/conda-forge/noarch/napari-animated-gif-io-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6a5d9c4cfe9fc7d9923c1fb94f9a411c978b41a6bbb556024a1a141f8058a7f0”h2NhNh3(Œimageio”Œ	microfilm”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnapari-tools-menu”Œnumpy”Œpython >=3.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŸHTŽE¢hEM0(hFˆubh)”}”(hŒr-fontbitstreamvera”h#Œ0.1.1”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ3r-fontbitstreamvera-0.1.1-r351h6115d3f_1001.tar.bz2”h+Œ e4126d47dc17b649c6f612c0a230b190”h.Œahttps://conda.anaconda.org/conda-forge/noarch/r-fontbitstreamvera-0.1.1-r351h6115d3f_1001.tar.bz2”h0Œ@1979521b0d8259bcca6ecb7743b520cca64f5769805347f6f4b6274bbcd00498”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒBitstream Vera Fonts”hBŒOTHER”hDGAÖü¢iK33hEJ¯d	 hFˆubh)”}”(hŒp11-kit-trust-cos7-ppc64le”h#Œ0.23.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ7p11-kit-trust-cos7-ppc64le-0.23.5-hdf0574f_1102.tar.bz2”h+Œ e12f713aa59746f50ceec9ea4075cab4”h.Œehttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-ppc64le-0.23.5-hdf0574f_1102.tar.bz2”h0Œ@aa1b117dc2a8f78c4333e690ff4b524beb1e62e7c77f87647ecc0d89cea0b6cc”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Åá•ÊÐåhEJÈq hFˆubh)”}”(hŒpvlib-python”h#Œ0.8.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'pvlib-python-0.8.1-pyhd8ed1ab_0.tar.bz2”h+Œ 12254b9137ef283a06ba59482f0adfa0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/pvlib-python-0.8.1-pyhd8ed1ab_0.tar.bz2”h0Œ@b3a0b25b39de6b84f2d3b830ab2a4025f3bbb997146969993608c741727d2a45”h2NhNh3(Œcftime >=1.1.1”Œephem”Œnetcdf4”Œnumba”Œnumpy >=1.12.0”Œpandas >=0.22.0”Œpip”Œpytables”Œpython >=3.6”Œpytz”Œrequests”Œscipy >=1.2.0”Œstatsmodels”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×üùinéyhEJkð>hFˆubh)”}”(hŒ_dvc-gs”h#Œ1.9.0”h%ja h'Khhh(h)hŒ_dvc-gs-1.9.0-1.tar.bz2”h+Œ c12a622adfe839b9d43f46b04dcabd32”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/_dvc-gs-1.9.0-1.tar.bz2”h0Œ@fbfcb86fee7a7e6d24debfa1445f1532271e8e183c812891dec5c63a4de3aa82”h2NhNh3Œ_dvc 1.9.0 py37hc8dfbb8_1”Œgoogle-cloud-storage 1.19.0”†”h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×åÍÂÍãThEMF%hFˆubh)”}”(hŒ
r-numderiv”h#Œ
2016.8_1.1”h%Œr42hc72bb7e_4”h'Khhh(h)hŒ+r-numderiv-2016.8_1.1-r42hc72bb7e_4.tar.bz2”h+Œ 254a39d8ed3408b1d5487713a034672b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-numderiv-2016.8_1.1-r42hc72bb7e_4.tar.bz2”h0Œ@5540f3dee90715fa585ad55d5472fc4f6b41363e4441b9766d204acc2ee651e1”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ.ZñªhEJQû hFˆubh)”}”(hŒeulxml”h#Œ1.1.3”h%Œpy_0”h'K hhh(h)hŒeulxml-1.1.3-py_0.tar.bz2”h+Œ 8f0cbefb4168f0bb3c0cf10a0cb6b14f”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/eulxml-1.1.3-py_0.tar.bz2”h0Œ@6331050a3d5c95d3ce276985fe165a7412f0a549c7ecc6d9155b74e8b2aee8ab”h2NhNh3(Œlxml”Œply”Œpython”Œ
setuptools”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÖ¹ÅyûçhEJ†_ hFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libxxf86vm-cos7-ppc64le-1.1.4-h9b0a68f_105.tar.bz2”h+Œ fe53f991a56c76165b08158ecb61979e”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-h9b0a68f_105.tar.bz2”h0Œ@ed9f245c2b513c5b92994b6c7327c41567489802759347f139ee0609b6bd753e”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œë^E¢hEMñ<hFˆubh)”}”(hŒlibidl-devel-cos6-x86_64”h#Œ0.8.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libidl-devel-cos6-x86_64-0.8.13-h9b0a68f_1105.tar.bz2”h+Œ 9882c0a37d2de529eed81a754e68a064”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos6-x86_64-0.8.13-h9b0a68f_1105.tar.bz2”h0Œ@5f892684884b580c54b1bdb9dbc1a746bf48b000f3afed5533443d81fd30ab2e”h2NhNh3(Œ$glib2-devel-cos6-x86_64 >=2.0 *_1105”Œ"libidl-cos6-x86_64 ==0.8.13 *_1105”Œ"pkgconfig-cos6-x86_64 >=0.8 *_1105”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@\©LÌÍhEMxjhFˆubh)”}”(hŒr-poiclaclu”h#Œ1.0.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-poiclaclu-1.0.2.1-r41hc72bb7e_1.tar.bz2”h+Œ 9926685b3d66549c4f45006f480b4089”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-poiclaclu-1.0.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@7ac97e2d5add80adddb90c4559cad0a393cc65c0ac8b98a057801ee6ea336f26”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ6X½²-hEJî' hFˆubh)”}”(hŒr-nsyllable”h#Œ1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-nsyllable-1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ b67f8f2655ae2646d6cd7299846751cc”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-nsyllable-1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@691a67be508420c3e2cd68dcb3b0ae1141a7b5ca91ab6465fed5ab9bf732bacd”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ”–ëC–hEJz hFˆubh)”}”(hŒr-excelr”h#Œ0.4.0”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ$r-excelr-0.4.0-r36hc72bb7e_0.tar.bz2”h+Œ 887e12741a88df78bd2fbe5cf735b000”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-excelr-0.4.0-r36hc72bb7e_0.tar.bz2”h0Œ@70715bb83fe1791de377aad4c15537178c7edd0fc79f488f886da068ab0929ef”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-htmlwidgets >=1.3”Œr-jsonlite >=1.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×êOl«hEJ*P hFˆubh)”}”(hŒwarc”h#Œ0.2.1”h%Œpy_1”h'Khhh(h)hŒwarc-0.2.1-py_1.tar.bz2”h+Œ 303e5afb030973b25787b04ee0f787a0”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/warc-0.2.1-py_1.tar.bz2”h0Œ@8012761e8fc523f32d44ce503ab7aecb3dc46998c5c3a8b62ca5f9ad0621008f”h2NhNh3Œ	python <3”…”h9h?h@ŒGPL 2.0”hBŒGPL2”hDGAÖêÅ‡hEM©MhFˆubh)”}”(hŒhboard”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!hboard-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 323bafbe803b496ff9c41f04bfe645d9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/hboard-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d2a2de815eb83f21c598a7848524e89b034065187f0cf1988990ac85c20d5470”h2NhNh3Œhypernets >=0.2.5.1,<0.2.6”Œpython >=3.6,<3.10”Œtornado”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÑCÚë¶FhEM¢?hFˆubh)”}”(hŒcliche”h#Œ0.7.66”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"cliche-0.7.66-pyhd8ed1ab_0.tar.bz2”h+Œ 1b4dde851d077d16951848f5c4e09744”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/cliche-0.7.66-pyhd8ed1ab_0.tar.bz2”h0Œ@340818baef7b4ea6f0fca7ebc02ca8e993c3ed8634bfeb3debf748e3167f5e06”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØw)sbhEMoAhFˆubh)”}”(hŒmlflow”h#Œ1.2.0”h%Œpy_1”h'Khhh(h)hŒmlflow-1.2.0-py_1.tar.bz2”h+Œ 7e74df17735588db9644732eb4947777”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/mlflow-1.2.0-py_1.tar.bz2”h0Œ@1776a770b48fdf76c716a425bf3c85009e030c8f3c758e2822aeb0296f8ee066”h2NhNh3(Œalembic”Œclick >=7.0”Œcloudpickle”Œdatabricks-cli >=0.8.7”Œdocker-py >=3.6.0”Œentrypoints”Œflask”Œgitpython >=2.1.0”Œgorilla”Œgunicorn”Œnumpy”Œpandas”Œpip”Œprotobuf >=3.6.0”Œpython >=3.6.0”Œpython-dateutil”Œpyyaml”Œquerystring_parser”Œrequests >=2.17.3”Œ
simplejson”Œsix >=1.10.0”Œ
sqlalchemy”Œsqlparse”t”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×dÃ¥záHhEJ>ñ6 hFˆubh)”}”(hŒmesa-libglapi-cos7-aarch64”h#Œ18.3.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6mesa-libglapi-cos7-aarch64-18.3.4-hdf0574f_102.tar.bz2”h+Œ 44fc2314868aac52806a1f80e58e3493”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/mesa-libglapi-cos7-aarch64-18.3.4-hdf0574f_102.tar.bz2”h0Œ@df499ac91feee5b1ac88cbe35cbab2ef079ef3c86ce6482afa106e2f09c61a17”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ “çmhEJš hFˆubh)”}”(hŒlibglvnd-opengl-cos7-x86_64”h#Œ1.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7libglvnd-opengl-cos7-x86_64-1.0.1-h9b0a68f_1105.tar.bz2”h+Œ c81196f3a5364e7e982b0286dc3ca02e”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libglvnd-opengl-cos7-x86_64-1.0.1-h9b0a68f_1105.tar.bz2”h0Œ@8cf3adc7eec55af6c7fdd87b379c71d5b74a6adc6f0dc91930c5c1f673f6a518”h2NhNh3Œ#libglvnd-cos7-x86_64 ==1.0.1 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@jçÏ+hEM¤òhFˆubh)”}”(hŒr-stabs”h#Œ0.6_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-stabs-0.6_4-r41hc72bb7e_0.tar.bz2”h+Œ c3065b8329a252d2198bd2aa0b026c29”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stabs-0.6_4-r41hc72bb7e_0.tar.bz2”h0Œ@8d70468da38dbd88302f99997e2abf7d63d3422b56b712db507d549d66aabf27”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+Î–vffhEJ¨` hFˆubh)”}”(hŒca-certificates-cos6-x86_64”h#Œ	2018.2.22”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ;ca-certificates-cos6-x86_64-2018.2.22-h9b0a68f_1105.tar.bz2”h+Œ 721d926422268fb3d6b2bdcb728bcd80”h.Œihttps://conda.anaconda.org/conda-forge/noarch/ca-certificates-cos6-x86_64-2018.2.22-h9b0a68f_1105.tar.bz2”h0Œ@1539c79dfbdfdbdd17dda3ba136c965f26ea92fe25d64f1520697537f85eac25”h2NhNh3Œ#p11-kit-cos6-x86_64 >=0.18.4 *_1105”Œ)p11-kit-trust-cos6-x86_64 >=0.18.4 *_1105”Œsysroot_linux-64 2.12.*”‡”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGAØ@]Op¤hEJ½" hFˆubh)”}”(hŒlibrdmacm-cos7-aarch64”h#Œ22.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0librdmacm-cos7-aarch64-22.4-h9b0a68f_105.tar.bz2”h+Œ 7f5e42bad8f9eed57599375e438c9c5d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-aarch64-22.4-h9b0a68f_105.tar.bz2”h0Œ@7b3f14f3494426d1bb5fd880faa02526431436c02be41fa0d2c022e2bda090f7”h2NhNh3Œ$libibverbs-cos7-aarch64 ==22.4 *_105”Œ#rdma-core-cos7-aarch64 ==22.4 *_105”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@]hA‰hEJ¥ hFˆubh)”}”(hŒlibxscrnsaver-cos6-x86_64”h#Œ1.2.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libxscrnsaver-cos6-x86_64-1.2.2-h9d98e8f_1104.tar.bz2”h+Œ 60208e6f22bff22e5298d90191dd9c79”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-cos6-x86_64-1.2.2-h9d98e8f_1104.tar.bz2”h0Œ@79b28dcda37b9522291fff87a39be40f7d33e75f02929a5ced27b2fad27dda98”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyCÆffhEMŠHhFˆubh)”}”(hŒ
r-paintmap”h#Œ1.0”h%Œr36h6115d3f_0”h'K hhh(h)hŒ$r-paintmap-1.0-r36h6115d3f_0.tar.bz2”h+Œ d83f2b95e798a08a9cfb6b9ee07a9d3e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r36h6115d3f_0.tar.bz2”h0Œ@92e62fd5b658a9481f815f57eb14a5323037da1c7621bd4ba2b2d24477427d8b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Qú¢²-hEMñŠhFˆubh)”}”(hŒlibxxf86vm-cos7-aarch64”h#Œ1.1.4”h%Œh9d98e8f_104”h'Khhhh(h)hŒ2libxxf86vm-cos7-aarch64-1.1.4-h9d98e8f_104.tar.bz2”h+Œ b0aa05d10c77628a7570115866983db7”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-aarch64-1.1.4-h9d98e8f_104.tar.bz2”h0Œ@05533afb661bd986156a7a8bee19af0bb4f8d787e8d8f359582e2e8cbdad631c”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_104”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É|ü5OßhEMj;hFˆubh)”}”(hŒde-weiterbildungssuche”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1de-weiterbildungssuche-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1da9b9ebca3683274671b9efde14e598”h.Œ_https://conda.anaconda.org/conda-forge/noarch/de-weiterbildungssuche-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@57ba8ee12f254948ba3a3544df94be8326b5a63b3a5a302e6dcd591e75fe7edd”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œurllib3 >=1.25.3”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÍµH;33hEMsØhFˆubh)”}”(hŒ
r-rintrojs”h#Œ0.3.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-rintrojs-0.3.2-r40hc72bb7e_0.tar.bz2”h+Œ ecda0ebea29c0fca35a1a9d6251d77a2”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rintrojs-0.3.2-r40hc72bb7e_0.tar.bz2”h0Œ@afe8a8ff538c6b7c86fccfdb50d93186b9be6608a882364e5265bbedbeffabdf”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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libsvmdata”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%libsvmdata-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ e268e1cd44f726e6c44bba0fa148c5f6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/libsvmdata-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@0af74d528aaedb6d13e9f2d9a20bf4fe0f3774b4ef9f01c630d95951ba306aef”h2NhNh3(Œdownload”Œnumpy >=1.12”Œpython >=3.6”Œscikit-learn”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ©‚ù(bhEM[*hFˆubh)”}”(hŒ	r-plotrix”h#Œ3.8_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-plotrix-3.8_2-r40hc72bb7e_0.tar.bz2”h+Œ a6c4b5a3e62d1addaa03e10ce6722450”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-plotrix-3.8_2-r40hc72bb7e_0.tar.bz2”h0Œ@ce20fbf69ed2c5fff52fc5a77fc42fa69c0b0867847abe46e97eacb11693ce77”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØN/ù”ÌÍhEJ§Æ hFˆubh)”}”(hŒ	r-rematch”h#Œ1.0.1”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ(r-rematch-1.0.1-r35h6115d3f_1002.tar.bz2”h+Œ e6f0bea879784e7b0153a7908ee32d60”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rematch-1.0.1-r35h6115d3f_1002.tar.bz2”h0Œ@fd195ca274dc8d088df71f980408343dfe03bb58b4129cad7d972f1762c4d892”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×K·¶/ hEMUGhFˆubh)”}”(hŒ	nestcheck”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$nestcheck-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 2650c8eeb1ca7edee2902980b3f93e29”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/nestcheck-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@15b27746b331398de0f50e2e122d4d747b3af898c0bf9fa86ed064bc2473845e”h2NhNh3(Œfgivenx >=2.1.11”Œmatplotlib-base >=2.1.0”Œnumpy >=1.16”Œpandas >=0.21.0”Œpython >=2.7”Œscipy >=1.0.0”Œtqdm >=4.11”t”h9h?h@ŒMIT”hBŒMIT”hDGA×èevÉhEMˆ§hFˆubh)”}”(hŒflask-babel”h#Œ0.12.2”h%Œpy_0”h'K hhh(h)hŒflask-babel-0.12.2-py_0.tar.bz2”h+Œ 549e45b24114c40b8e5d675ae3554339”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/flask-babel-0.12.2-py_0.tar.bz2”h0Œ@bee571388e97b0356d361543ba4940e19b7830306589369cb20cefb963a9d804”h2NhNh3(Œbabel >=2.3”Œflask”Œjinja2 >=2.5”Œpython”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×RÓ33hEMA.hFˆubh)”}”(hŒr-bioset”h#Œ0.2.3”h%Œr35h6115d3f_1”h'Khhh(h)hŒ$r-bioset-0.2.3-r35h6115d3f_1.tar.bz2”h+Œ fea0c6a021d6ff7e98f8d1d93c790ab5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bioset-0.2.3-r35h6115d3f_1.tar.bz2”h0Œ@cd618f7d3cd6b03e395cfff91654eb2054ba464a4797ca2d36717afa08b84f21”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-dplyr >=0.7.4”Œr-magrittr >=1.5”Œr-rlang >=0.1.2”Œr-tibble >=1.3.4”Œr-tidyr >=0.7.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×M%ÔÜ›¦hEJ“‹ hFˆubh)”}”(hŒchkconfig-cos6-x86_64”h#Œ1.3.49.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4chkconfig-cos6-x86_64-1.3.49.5-hdf0574f_1102.tar.bz2”h+Œ 6207228d82d20914ca5606b5e20f2a38”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/chkconfig-cos6-x86_64-1.3.49.5-hdf0574f_1102.tar.bz2”h0Œ@38e9c951b684cba6e9cc8a88b529fbc33c716e40c498df2363f1b6572442250c”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Å+i†5?hEJUD hFˆubh)”}”(hŒr-secret”h#Œ1.1.0”h%Œr41h785f33e_1”h'Khhh(h)hŒ$r-secret-1.1.0-r41h785f33e_1.tar.bz2”h+Œ 218d05633bbc2748ae5b39b15a37455d”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-secret-1.1.0-r41h785f33e_1.tar.bz2”h0Œ@bc8b137e941d6864b24077faa0e30cf43b0738c2161d3baafaa13e23acad7d6b”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œ
r-jsonlite”Œ	r-openssl”Œr-rprojroot”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ!2ÐåhEJtG hFˆubh)”}”(hŒr-ggbump”h#Œ0.1.0”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-ggbump-0.1.0-r40hc72bb7e_1.tar.bz2”h+Œ 2c2540370b18f8eec381175bcf607003”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ggbump-0.1.0-r40hc72bb7e_1.tar.bz2”h0Œ@5e9b84a1485b72a3125ec8ea9be0dccb5ff68170eda8880fe3a63bee19acb740”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-purrr”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+À·)º^hEJä  hFˆubh)”}”(hŒ
ansimarkup”h#Œ1.5.0”h%Œpyh44b312d_0”h'K hhh(h)hŒ%ansimarkup-1.5.0-pyh44b312d_0.tar.bz2”h+Œ 06afdd510039f89cd3a846a63fbfdbac”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/ansimarkup-1.5.0-pyh44b312d_0.tar.bz2”h0Œ@88b8d4095bd80c11cc97e60e8933b05827334d420c4e3b5d2fa9e82a100c3532”h2NhNh3Œcolorama”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØs¾ÃdZhEM²5hFˆubh)”}”(hŒarrow”h#Œ1.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ arrow-1.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ fd1967c76eda3a3dd9e8e6cb7a15a028”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/arrow-1.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@a0434c2770cf5b0ab5a33913c0b202b1521bc13f755b762d16a86b110425cdc2”h2NhNh3Œpython >=3.6”Œpython-dateutil >=2.7.0”Œtyping_extensions”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÅ|€–—hEJn hFˆubh)”}”(hŒmoviepy”h#Œ1.0.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ"moviepy-1.0.3-pyhd8ed1ab_1.tar.bz2”h+Œ 79ebbb5d759084a13dffadaa8c7b3e0d”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/moviepy-1.0.3-pyhd8ed1ab_1.tar.bz2”h0Œ@320ddb8f98e587fcf8de2b2124e691d35c039b6c976d114dac4f2a8be512bec7”h2NhNh3(Œdecorator >=4.0.2,<6.0”Œffmpeg”Œimageio >=2.5,<3.0”Œimageio-ffmpeg >=0.2.0”Œnumpy”Œproglog <=1.0.0”Œpython >=3.6”Œrequests >=2.8.1,<3.0”Œtqdm >=4.11.2,<5.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÐZp´9hEJh8 hFˆubh)”}”(hŒr-paco”h#Œ0.4.2”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-paco-0.4.2-r36h6115d3f_0.tar.bz2”h+Œ 4a17ebea6124e143394177fca2973483”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-paco-0.4.2-r36h6115d3f_0.tar.bz2”h0Œ@578aea30e7a5b5833899934cabe53d438bec37a6e00663cbdc2fec37c9305d18”h2NhNh3(Œr-ape”Œr-base >=3.6,<3.7.0a0”Œr-plyr”Œr-vegan >=2.2_0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ÑZÂýôhEMÎhFˆubh)”}”(hŒpython-docker”h#Œ0.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(python-docker-0.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 435e57b9d73f4aadf635895d0aa9a716”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/python-docker-0.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@157c9ea63b924f196051e07774cb157f44f4a8d51c9c9dd586c0b3d59c0e8aa0”h2NhNh3Œpydantic”Œpython >=3.8”Œrequests”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØºPqV$ÝhEMjDhFˆubh)”}”(hŒsysroot-cos7-aarch64”h#Œ2.17”h%Œh5b4a56d_12”h'Khhh(h)hŒ-sysroot-cos7-aarch64-2.17-h5b4a56d_12.tar.bz2”h+Œ 173841e4ef359a5b161e66da0daee6dc”h.Œ[https://conda.anaconda.org/conda-forge/noarch/sysroot-cos7-aarch64-2.17-h5b4a56d_12.tar.bz2”h0Œ@47e653cd38070fd0a8d2e871114ae95b0378d19ec91a8b958afa4d6f6311672b”h2NhNh3Œsysroot_linux-aarch64 2.17”…”h9hºh@ŒXLGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0”hBŒGPL”hDGAØ=¦LIºhEM7hFˆubh)”}”(hŒde-dashboarddeutschland”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2de-dashboarddeutschland-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8e1504d5d972f142dfffb4daef67e293”h.Œ`https://conda.anaconda.org/conda-forge/noarch/de-dashboarddeutschland-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8cb6522e360f395428aa8a32236ed79cc0265b7bab6b1320f844cfc18009195c”h2NhNh3Œpython >=3.6”Œpython-dateutil”Œurllib3 >=1.25.3”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÍ·>AxÕhEMÏÄhFˆubh)”}”(hŒautograd-gamma”h#Œ0.5.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)autograd-gamma-0.5.0-pyh9f0ad1d_0.tar.bz2”h+Œ 1d2f3cd0881ead2f033ec5a9d567c6f0”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/autograd-gamma-0.5.0-pyh9f0ad1d_0.tar.bz2”h0Œ@ee6384ca35889fbc2a877ae7140eb90ca66980310640027eb39185ffa84f92bd”h2NhNh3Œautograd >=1.2.0”Œpython”Œscipy >=1.2.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×â>’´ýôhEMWhFˆubh)”}”(hŒr-ca”h#Œ0.71.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ!r-ca-0.71.1-r36h6115d3f_0.tar.bz2”h+Œ 79e4fe45aea05e41bc7128ec9386d60c”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-ca-0.71.1-r36h6115d3f_0.tar.bz2”h0Œ@be74988c4e890fc0e4ceddde9e280489ceea676ac1b0be79b0f5e8aeb1bd1902”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2 and GPL-3”hBŒGPL”hDGA×‹Weó¶hEJëü hFˆubh)”}”(hŒr-dynamictreecut”h#Œ1.63_1”h%Œr41hc72bb7e_1005”h'Míhhh(h)hŒ0r-dynamictreecut-1.63_1-r41hc72bb7e_1005.tar.bz2”h+Œ b30e88fc8155d0ab4738a4e25dff3674”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-dynamictreecut-1.63_1-r41hc72bb7e_1005.tar.bz2”h0Œ@1af8ffea9e0048a5af722e802bd573e2c49ca56884ccba82833d5e0e10391552”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ3bhEJ5œ hFˆubh)”}”(hŒtrimesh”h#Œ3.9.35”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ#trimesh-3.9.35-pyh6c4a22f_0.tar.bz2”h+Œ ef95fd5b99a0ed70d2b03b290f52ec87”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/trimesh-3.9.35-pyh6c4a22f_0.tar.bz2”h0Œ@911cffca2d50e39efb6655e9e945d5e1636401047d0b51910af5c43370996585”h2NhNh3Œnumpy”Œpython”†”h6(Œlxml”Œ	pycollada”Œrtree”Œpyglet”Œpillow”Œtriangle”Œ
setuptools”Œxxhash”Œmsgpack-python”Œshapely”Œrequests”Œscipy”Œcolorlog”Œpsutil”Œscikit-image”Œchardet”Œnetworkx”Œmeshio”Œ
jsonschema”Œsympy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ_k+¶FhEJä  hFˆubh)”}”(hŒr-clusterrepro”h#Œ0.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-clusterrepro-0.9-r42hc72bb7e_1.tar.bz2”h+Œ 88050682493e1417e84b4febc53b24a2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-clusterrepro-0.9-r42hc72bb7e_1.tar.bz2”h0Œ@014874e56d188d3257883ab06fa1f345b160ef5edd33e020a989df56073a2656”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ›NO
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GPL (>= 2)”hBŒGPL3”hDGAØ¬¿é{SøhEJJ] hFˆubh)”}”(hŒipymesh”h#Œ0.1.7”h%Œpy_0”h'K hhh(h)hŒipymesh-0.1.7-py_0.tar.bz2”h+Œ 4648bf8ba18043d05229e33a0ce5aad1”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/ipymesh-0.1.7-py_0.tar.bz2”h0Œ@ab8e41207e3ba2e6b71fe6e8931b79cc19cb7b1c95596cea4a65eec927c40d0d”h2NhNh3Œipywidgets >=7.0.0”Œpython >=3.6.0”†”h9h?h@ŒMIT”hBŒMIT”hDGA×{êî‡\)hEJQÎ	 hFˆubh)”}”(hŒorbit2-devel-cos7-ppc64le”h#Œ2.14.19”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6orbit2-devel-cos7-ppc64le-2.14.19-hdf0574f_102.tar.bz2”h+Œ 3016e3834f39f4203af75187f78a7235”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos7-ppc64le-2.14.19-hdf0574f_102.tar.bz2”h0Œ@7da299404d3484bf7c7148a30823f8d8374225a3eebb121fadc8e84fa8cdc9d8”h2NhNh3Œ&glib2-devel-cos7-ppc64le >=2.2.0 *_102”Œ'libidl-devel-cos7-ppc64le >=0.8.2 *_102”Œ#orbit2-cos7-ppc64le ==2.14.19 *_102”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Åi”#÷ÏhEJ8• hFˆubh)”}”(hŒmarshmallow”h#Œ3.19.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'marshmallow-3.19.0-pyhd8ed1ab_0.tar.bz2”h+Œ a01bddee366d4dd6be27300c6427f9ea”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/marshmallow-3.19.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1557a61bc8aa4db4202928ab2d1415556b199199f2b90b44c03ab6baf0b99f22”h2NhNh3Œpackaging >=17.0”Œpython >=3.7”†”h9h?h@ŒMIT AND BSD-3-Clause”hDGAØÜI;r¬hEJK hFˆubh)”}”(hŒr-ggmcmc”h#Œ1.5.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-ggmcmc-1.5.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 4d19602258170e4fa1c0ce24e3200abd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggmcmc-1.5.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@8c7da0493f30ff9782fa88815733233e2bdebeeac439dbe091b4795167341adc”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=1.0.0”Œr-ggally >=1.1.0”Œ	r-ggplot2”Œr-tidyr >=1.1.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+»‡§
=hEJXŸ- hFˆubh)”}”(hŒr-heatmap.plus”h#Œ1.3”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ+r-heatmap.plus-1.3-r36h6115d3f_1003.tar.bz2”h+Œ d81479385b37197c5450cf7caba23bf4”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-heatmap.plus-1.3-r36h6115d3f_1003.tar.bz2”h0Œ@65be761c1b385d96522a4d19f3a81ec79c470a726b6b3e04e89e8f6ef915f5c8”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGA×¬äÒ°!hEMÎhFˆubh)”}”(hŒr-mskcc.oncotree”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-mskcc.oncotree-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ d29995eb888eed8fd378b1c1500626d1”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-mskcc.oncotree-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@23ad28a06ba14a82b0fbfeca771e1e9e47acbe7feb4737ff4b56b10aa9beafda”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-glue”Œr-httr2”Œ
r-magrittr”Œ	r-memoise”Œr-purrr”Œr-readr”Œr-rlang”Œr-tibble”Œ
r-tidyjson”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑxÅ¸hEJ ‘ hFˆubh)”}”(hŒlibnl-devel-cos7-ppc64le”h#Œ1.1.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ3libnl-devel-cos7-ppc64le-1.1.4-h9b0a68f_105.tar.bz2”h+Œ 4c304f64059cce1c0c8f6d034ba8eb09”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos7-ppc64le-1.1.4-h9b0a68f_105.tar.bz2”h0Œ@612a126189f9266c6e4c24ec8ed8e39210f297e5b13ba1cbd379a9bcfba1b1e9”h2NhNh3Œ libnl-cos7-ppc64le ==1.1.4 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@‰W¶§ðhEJ^ù	 hFˆubh)”}”(hŒlibxrandr-cos6-x86_64”h#Œ1.5.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ0libxrandr-cos6-x86_64-1.5.1-hdf0574f_102.tar.bz2”h+Œ aaeaa65b8a02a7aed08be9719ef52455”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos6-x86_64-1.5.1-hdf0574f_102.tar.bz2”h0Œ@428a5ebaf2dced8125c850e966971b842ce7bddf674b1a69ee6cfe17cf53ca5b”h2NhNh3Œ libx11-cos6-x86_64 >=1.6.0 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åi(ÄzáhEM«ShFˆubh)”}”(hŒ
r-paintmap”h#Œ1.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ$r-paintmap-1.0-r42hc72bb7e_3.tar.bz2”h+Œ a511cca044f5bbfe57f1ea1ff341262e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-paintmap-1.0-r42hc72bb7e_3.tar.bz2”h0Œ@7f6d09147c4d711b351f502dc8a6f6cd3d499426dce118153687f818730c8ed5”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ>+¯\)hEM®hFˆubh)”}”(hŒbio-embeddings-cpcprot”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ1bio-embeddings-cpcprot-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ c5d2c4c1d628a000917e4971ca0f363e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/bio-embeddings-cpcprot-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ec30aaedb16c87c1b708c7073d35a3d175eb35b2523e1ee0514bd0dc477113c4”h2NhNh3(Œnumpy >=1.19,<2.0”Œpython >=3.6”Œpython-lmdb >=1.0,<2.0”Œpytorch >=1.0,<2.0”Œscipy >=1.5,<2.0”Œtape_proteins >=0.4,<=1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‚º®3×
hEMrqhFˆubh)”}”(hŒhickle”h#Œ3.4.5”h%Œpy_0”h'K hhh(h)hŒhickle-3.4.5-py_0.tar.bz2”h+Œ 3d129f5248560613101def6661a920cf”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/hickle-3.4.5-py_0.tar.bz2”h0Œ@37b6e4e36328c99743cfc5915d8b0c840547d0a0f54b20b7fd3a72b9a4b1dca8”h2NhNh3Œh5py”Œnumpy”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×I£¨hÄœhEMß~hFˆubh)”}”(hŒr-ggjoy”h#Œ0.4.1”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ&r-ggjoy-0.4.1-r35h6115d3f_1002.tar.bz2”h+Œ b2186ab6de72c38201310516e7a1f4c4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggjoy-0.4.1-r35h6115d3f_1002.tar.bz2”h0Œ@9d8b4c9127d8100eb40771fd16a224fa338bf9b7a31ad3dec568dbc8adced02d”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-ggridges >=0.4.0”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×Lÿòá%hEM|hFˆubh)”}”(hŒpytest-pep8”h#Œ1.0.6”h%Œpy_2”h'Khhh(h)hŒpytest-pep8-1.0.6-py_2.tar.bz2”h+Œ d73d81a763b25a46e6e6bb9a23c58709”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pytest-pep8-1.0.6-py_2.tar.bz2”h0Œ@e3862d1bd72899498220549bee5ace26e49aec8265883dcd96bb3b5a55bdc2fa”h2NhNh3(Œ
pep8 >=1.3”Œpytest >=2.4.2”Œpytest-cache”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×kxÊ¼jhEMf hFˆubh)”}”(hŒrb-jekyll-github-metadata”h#Œ2.12.1”h%Œ
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psutil >=5”Œpython >=3.7.0”Œscipy >=1.2”Œseedbank >=0.1.0”t”h6Œscikit-learn >=0.22”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¿AóÆ¨hEMbéhFˆubh)”}”(hŒ
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python >=3”t”h9h?h@ŒBSD 3-Clause”hDGAÖÖ]æø£×hEMbñhFˆubh)”}”(hŒgeojson”h#Œ2.5.0”h%Œpy_0”h'K hhh(h)hŒgeojson-2.5.0-py_0.tar.bz2”h+Œ b4a361c7b70eeda6342a54555144c419”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/geojson-2.5.0-py_0.tar.bz2”h0Œ@d5978675ee8e59b28b0b4fbb78392447d11c030c072cef829dd7c8f9329462ad”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×TM§ÎÙhEM»<hFˆubh)”}”(hŒmesa-libegl-cos7-aarch64”h#Œ18.3.4”h%Œha826a6f_103”h'Kghhh(h)hŒ4mesa-libegl-cos7-aarch64-18.3.4-ha826a6f_103.tar.bz2”h+Œ b6e14a070cff691dc02c9e85dd122765”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-aarch64-18.3.4-ha826a6f_103.tar.bz2”h0Œ@21aa6de5bfa0b9d06737b682604fc3965da6030a2c3791d35ab2847ff4280d3c”h2NhNh3Œ'mesa-libgbm-cos7-aarch64 ==18.3.4 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1»`BhEJü¯ hFˆubh)”}”(hŒr-operator.tools”h#Œ1.6.3”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ/r-operator.tools-1.6.3-r35h6115d3f_1002.tar.bz2”h+Œ c6c10d274d9ea801c1a049249463bacb”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-operator.tools-1.6.3-r35h6115d3f_1002.tar.bz2”h0Œ@95a70cb02985ee8783b6f19d3ba0689488eb82ca7cd2c8883f2c282e6357e3a0”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L¯-VhEMšühFˆubh)”}”(hŒldap”h#Œ1.0.2”h%Œpy_0”h'K hhh(h)hŒldap-1.0.2-py_0.tar.bz2”h+Œ 695e8b949f29c4c84d62a4f7d0273b0b”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/ldap-1.0.2-py_0.tar.bz2”h0Œ@c6a88f97aa6ea734998815f62ebc703913ea6bbb0a722fee4bd4010ca3146594”h2NhNh3Œldap3”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖÈT6ãC–hEM
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r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGA×ØáPÄœhEJè
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r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×¬ šìzáhEJÜf hFˆubh)”}”(hŒibex”h#Œ0.1.3”h%Œpy_0”h'K hhh(h)hŒibex-0.1.3-py_0.tar.bz2”h+Œ 453237f985f80889eab34492170f11d6”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/ibex-0.1.3-py_0.tar.bz2”h0Œ@536e4ea52aff6083ef8f54d1ef9e07cf2621fd69c243561cc3ed45b38bf548f6”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.5”Œscikit-learn”Œscipy”Œsix”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAÖá<ÌAxÕhEMr[hFˆubh)”}”(hŒcereal”h#Œ1.3.2”h%Œ
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hcb32578_2”h'Khhh(h)hŒ'ros-conda-base-0.0.2-hcb32578_2.tar.bz2”h+Œ d90bf7b1757e2b36c148dc04fef0249a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ros-conda-base-0.0.2-hcb32578_2.tar.bz2”h0Œ@b62905d53ee4b45c3239257c81f55495c8fea67c6cc093f710512237e1efdae3”h2NhNh3Œros-conda-mutex * melodic”…”h6(Œ	boost-cpp”Œcmake >=3.7.2”Œgazebo >=9.0”Œ
ogre >=1.9”Œopencv >=3.2”Œpcl >=1.8.1”Œ
pyqt >=5.7”Œqt >=5.7”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×•‡[ßÎÙhEMÃhFˆubh)”}”(hŒ
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GPL (>= 2)”hBŒGPL3”hDGA×Ðå\ZhEJfI hFˆubh)”}”(hŒr-radix”h#Œ0.6”h%Œr40h6115d3f_2”h'Khhh(h)hŒ!r-radix-0.6-r40h6115d3f_2.tar.bz2”h+Œ af5d3b01b9a4ca5fa7183ae32216e9c9”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-radix-0.6-r40h6115d3f_2.tar.bz2”h0Œ@d11b70f4b7d9375594c66a620338cce765219ba4a35d743178d349c7a37de2e8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downloader”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œr-png”Œ
r-progress”Œr-rmarkdown >=1.10”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×ö…¾rÀƒhEJÙ* hFˆubh)”}”(hŒpanoptes-client”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*panoptes-client-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 62c11a649968dfa74170b3c3b52a3dac”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/panoptes-client-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@5c3f6352daaace14753ffed145281f8e1f80d1bd589840290bc1f984acd7f18d”h2NhNh3(Œfuture >=0.16,<0.19”Œpython >=3.7”Œpython-magic >=0.4,<0.5”Œ
redo >=1.7”Œrequests >=2.4.2,<2.26”Œ	six >=1.9”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÍl1XhEM_‘hFˆubh)”}”(hŒxcb-util-wm-cos7-x86_64”h#Œ0.4.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ3xcb-util-wm-cos7-x86_64-0.4.1-h9b0a68f_1105.tar.bz2”h+Œ 645313f9592985432f944de682d88d21”h.Œahttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-cos7-x86_64-0.4.1-h9b0a68f_1105.tar.bz2”h0Œ@efca18d69e901713b8ffc44ae752d0214ef8ec3df500607d34f1a2119c5b4edf”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@håªÐåhEM6phFˆubh)”}”(hŒlibxrender-cos7-x86_64”h#Œ0.9.10”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3libxrender-cos7-x86_64-0.9.10-h9d98e8f_1104.tar.bz2”h+Œ 0a1c6578b3891b21ade84a6278a9fccb”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxrender-cos7-x86_64-0.9.10-h9d98e8f_1104.tar.bz2”h0Œ@f1d6c3a87139a72d857f68583eb7c02626f2dd874546bc63f78f0f605baf1ab5”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~;çïžhEM‡_hFˆubh)”}”(hŒpylint-common”h#Œ0.2.5”h%Œpy_1”h'Khhh(h)hŒ pylint-common-0.2.5-py_1.tar.bz2”h+Œ 1c402f09e24ef8280ae89b45f237969b”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pylint-common-0.2.5-py_1.tar.bz2”h0Œ@5bc021d7ce488c6ec39e4439a781a06f43f544e216c62560858f077bdffb91d5”h2NhNh3Œpylint >=1.0”Œpylint-plugin-utils >=0.2.6”Œpython”‡”h9h?h@ŒGPL 2”hDGAÖÕÇìøƒhEMu)hFˆubh)”}”(hŒattributes-doc”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)attributes-doc-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 42ac50f097f8181d816578475be93695”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/attributes-doc-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@31ad111d4eaa9d3d49fa20fb6e4543e2e532809394749bd28b785ff6a58558f3”h2NhNh3Œ
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eulexistdb”h#Œ0.21.1”h%Œpy_0”h'K hhh(h)hŒeulexistdb-0.21.1-py_0.tar.bz2”h+Œ cf898b2b09b1b99bc350dcdcd1abbfef”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/eulexistdb-0.21.1-py_0.tar.bz2”h0Œ@6cd67db389c13257fd7dbb982531ff5fcdb76207033dad82a2cdc6e5be0fc65a”h2NhNh3Œeulxml”Œpython”Œrequests”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAÖÍÀ(@ƒhEM¥hFˆubh)”}”(hŒjson-cfg”h#Œ0.4.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#json-cfg-0.4.2-pyhd8ed1ab_1.tar.bz2”h+Œ 9986a1de272798838588360b4f37ba15”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/json-cfg-0.4.2-pyhd8ed1ab_1.tar.bz2”h0Œ@779d0d669cf3c7a214f7d2b2a829979e34762406fc58bf64d5c79871651311c8”h2NhNh3Œkwonly-args >=1.0.7”Œpython >=2.6,<3|>=3.3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØXAÊÁhEMËehFˆubh)”}”(hŒ	r-munsell”h#Œ0.5.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ(r-munsell-0.5.0-r35h6115d3f_1002.tar.bz2”h+Œ f43c76307b4ff402209dd145a1d74ec5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-munsell-0.5.0-r35h6115d3f_1002.tar.bz2”h0Œ@b305b7fa36b87f8da63bcf1a3c4397647cc34325e495ef30356f7d1db755de04”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-colorspace”†”h9hºh@ŒMIT”hBŒMIT”hDGA×K°[×
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r-progress”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidypredict”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒM†r°hEJ‹Š hFˆubh)”}”(hŒ
r-powerlaw”h#Œ0.70.6”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-powerlaw-0.70.6-r36h6115d3f_0.tar.bz2”h+Œ 9a5193f384aa5a0f300d17c34288e823”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-powerlaw-0.70.6-r36h6115d3f_0.tar.bz2”h0Œ@35b2e2223e1ef132fd178188a3fe51f635db7d4b9644459e31cb91fdf9b5e549”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-pracma”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×¨û‡ž‡+hEJLÔ1 hFˆubh)”}”(hŒ
r-ipflasso”h#Œ1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-ipflasso-1.1-r41hc72bb7e_2.tar.bz2”h+Œ caf3e4ca78acbeb794ead4d990980c44”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipflasso-1.1-r41hc72bb7e_2.tar.bz2”h0Œ@421da5713e55793cc847be12aed205b5282bb7e8ae0bc0cd7da9172726e0e99a”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-glmnet”Œ
r-survival”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒê‚@å`hEJN hFˆubh)”}”(hŒcopy-jdk-configs-cos6-x86_64”h#Œ3.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6copy-jdk-configs-cos6-x86_64-3.3-h9b0a68f_1105.tar.bz2”h+Œ a8221f6a2ca214b34afd9eda727e5ac9”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos6-x86_64-3.3-h9b0a68f_1105.tar.bz2”h0Œ@f311731d8878dab89fa1ea664db60112cae922fa37041b22878474f339557fdd”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØ@VÎL1hEMu&hFˆubh)”}”(hŒr-rosm”h#Œ0.2.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-rosm-0.2.6-r41hc72bb7e_1.tar.bz2”h+Œ 0ee15be039627ad9a3a461ac98807039”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rosm-0.2.6-r41hc72bb7e_1.tar.bz2”h0Œ@9346d6ac978f1327779ebec5bed64c33af71a4ddb98143875616de448592b6e9”h2NhNh3(Œr-abind”Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-jpeg”Œr-plyr”Œr-png”Œr-prettymapr”Œr-rgdal”Œr-rjson”Œr-sp”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒe>E¢hEJ h hFˆubh)”}”(hŒpykalman”h#Œ0.9.5”h%Œpy_1”h'Khhh(h)hŒpykalman-0.9.5-py_1.tar.bz2”h+Œ b28bb1d2e7aebc29c489ca48d2b55337”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pykalman-0.9.5-py_1.tar.bz2”h0Œ@908f7bb9efd2abd5ad47d561646523a9049ad21027df4decaabf4e8dda06c4eb”h2NhNh3Œnumpy”Œpython”Œscipy”‡”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖ¼iˆhEM zhFˆubh)”}”(hŒr-fresh”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-fresh-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ 51d6af7c7019df169f0af4b5514a1010”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-fresh-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@a719f472d04de97612a595cb9116529ed5676c9224786697265c23dbaef92cf5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-htmltools”Œr-rstudioapi”Œr-sass”Œr-shiny”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ-5E¢hEJ—H hFˆubh)”}”(hŒacorns”h#Œ3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒacorns-3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 724c04db4796d4b1643c72ece0dd727b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/acorns-3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f05a3100d776bd1f21804fec9a93a7bd54221121729da01de4bb05294189457d”h2NhNh3Œnumpy”Œ	pycparser”Œpython >=3.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØxq¼í‘hEMBhFˆubh)”}”(hŒmultiviewica”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'multiviewica-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ f663d333eddd8d644e5978e8ad4e89d4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/multiviewica-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@84316912ece21752fc61e677e769159514c899234328e06735a29fd348d554bb”h2NhNh3(Œfastsrm”Œmatplotlib-base >=2.0.0”Œnumpy >=1.12”Œpython >=3.0”Œpython-picard”Œscikit-learn >=0.23”Œscipy >=0.18.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×í.8rñªhEMá*hFˆubh)”}”(hŒmultivisor-rpc”h#Œ6.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)multivisor-rpc-6.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8ee5e4de248318a252dc9b1291bda98b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/multivisor-rpc-6.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cb131fa07ebb91421086323cdf2fdd820157421237c7542dcd12e3d266a789df”h2NhNh3(Œmultivisor >=6.0.1,<6.0.2.0a0”Œpython >=3.6”Œ
supervisor”Œzerorpc-python”t”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¨VèA‰hEMê:hFˆubh)”}”(hŒ	r-mitools”h#Œ2.4”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ#r-mitools-2.4-r42hc72bb7e_3.tar.bz2”h+Œ b22fa8e2ded07b61fceeff57e0c10d73”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-mitools-2.4-r42hc72bb7e_3.tar.bz2”h0Œ@d2f1597eea07d5e2a72918f4be16ddab2e44633ed77cfcc292e8b2c6e1e3d5b5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-dbi”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ°Ì1hEJoŠ hFˆubh)”}”(hŒ	r-cvtools”h#Œ0.3.2”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ(r-cvtools-0.3.2-r40hc72bb7e_1003.tar.bz2”h+Œ a5f7cf1ac08e17a98b402a6099862839”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-cvtools-0.3.2-r40hc72bb7e_1003.tar.bz2”h0Œ@ba3531d665960df4f38785e158cc2ec6d7eb9468148962839d1290955fe46566”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-lattice”Œr-robustbase”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+Aw®hEJB‚ hFˆubh)”}”(hŒmarshmallow”h#Œ3.6.0”h%Œpy_0”h'K hhh(h)hŒmarshmallow-3.6.0-py_0.tar.bz2”h+Œ 78491ce3258cbe265c01becdc9ae8638”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/marshmallow-3.6.0-py_0.tar.bz2”h0Œ@b7e2d20824184d08d4430af64aef4b86584956670f62e68ed2663da86b949a73”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGA×­£ñd¬hEJƒ- hFˆubh)”}”(hŒ
r-sampsurf”h#Œ0.7_6”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-sampsurf-0.7_6-r42hc72bb7e_1.tar.bz2”h+Œ 959a7812213d0aa83af334d42fefb601”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sampsurf-0.7_6-r42hc72bb7e_1.tar.bz2”h0Œ@f9346cd4e8ff1e4d36a375a1cf4ab01e63393f65bf8e818bdd7119a4690ba3b7”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot >=1.3_3”Œr-lattice >=0.20_35”Œr-latticeextra >=0.6_28”Œr-raster >=2.9_5”Œr-rastervis >=0.45”Œr-sp >=1.3_0”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒkÐ ÅhEJ‡: hFˆubh)”}”(hŒr-rebus.unicode”h#Œ0.0_2”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ.r-rebus.unicode-0.0_2-r41hc72bb7e_1003.tar.bz2”h+Œ 09eafc21132584c080ae0680b6085744”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rebus.unicode-0.0_2-r41hc72bb7e_1003.tar.bz2”h0Œ@98f8365b4c112a0d44ee80cc48864c93724570b8f56d0708f7642a19aa15b48e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rebus.base >=0.0_2”†”h9hºh@Œ	Unlimited”hDGAØÑ˜9°£×hEJ ˆ hFˆubh)”}”(hŒperl-xml-sax-expat”h#Œ0.51”h%Œpl5321hd8ed1ab_0”h'K hhh(h)hŒ0perl-xml-sax-expat-0.51-pl5321hd8ed1ab_0.tar.bz2”h+Œ 34e0bfb1064f174a93db74d0f8060603”h.Œ^https://conda.anaconda.org/conda-forge/noarch/perl-xml-sax-expat-0.51-pl5321hd8ed1ab_0.tar.bz2”h0Œ@ec82d9058de4aebe6adc591d84d4af67f78fa434e055b6cc0bbbf45eddf5ba5a”h2NhNh3(Œperl >=5.32.1,<6.0a0 *_perl5”Œperl-xml-namespacesupport”Œperl-xml-parser”Œperl-xml-sax”Œperl-xml-sax-base”t”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hBŒOTHER”hDGAØÎ­ÑtjhEMrFhFˆubh)”}”(hŒlibxshmfence-cos7-ppc64le”h#Œ1.2”h%Œ
h1341992_0”h'K hhh(h)hŒ0libxshmfence-cos7-ppc64le-1.2-h1341992_0.tar.bz2”h+Œ a14a49506126aedb5cff577ab4ab9221”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxshmfence-cos7-ppc64le-1.2-h1341992_0.tar.bz2”h0Œ@485c54a07cdf71bc246e981b9bce167e3d4063501a865da70a5b32716a1d8b22”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ƒ¢ü¥ãhEM#hFˆubh)”}”(hŒlibx11-cos6-x86_64”h#Œ1.6.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ-libx11-cos6-x86_64-1.6.4-hdf0574f_102.tar.bz2”h+Œ b65c6b91603e9a9f3b7203fa23e78b50”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libx11-cos6-x86_64-1.6.4-hdf0574f_102.tar.bz2”h0Œ@07dc2dd97e5be740039cbe47bb92729a49f3911a2bce953f3902eae5ad5646f8”h2NhNh3Œ'libx11-common-cos6-x86_64 ==1.6.4 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+O‘ë…hEJŽ hFˆubh)”}”(hŒr-caper”h#Œ1.0.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ&r-caper-1.0.1-r35h6115d3f_1001.tar.bz2”h+Œ 9b54682add21572833d213505833e237”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-caper-1.0.1-r35h6115d3f_1001.tar.bz2”h0Œ@624771e42973563feb8823ef1affa6bec04f11af3998c10235f0121382f79cf5”h2NhNh3(Œr-ape >=3.0_6”Œr-base >=3.5,<3.6.0a0”Œr-mass”Œ	r-mvtnorm”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M%uØÄœhEJ=Î hFˆubh)”}”(hŒr-quantpsyc”h#Œ1.6”h%Œr42h785f33e_1”h'Khhh(h)hŒ%r-quantpsyc-1.6-r42h785f33e_1.tar.bz2”h+Œ 4f0f91f9cc2e6a157862f30663477472”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-quantpsyc-1.6-r42h785f33e_1.tar.bz2”h0Œ@5e787477020901ee1d9dfc1a50c8a17e9d98f3ef2c260bafc7f8c667b0107749”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-dplyr”Œr-mass”Œr-purrr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒ/ÑÁë…hEJŸ hFˆubh)”}”(hŒdjango-appconf”h#Œ1.0.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)django-appconf-1.0.4-pyh9f0ad1d_0.tar.bz2”h+Œ 9ab31eab50b499426b0c4425eae9647a”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/django-appconf-1.0.4-pyh9f0ad1d_0.tar.bz2”h0Œ@2e8c4eeb2db5a5587fb3814949a8d25a7a6d8454b570b7007ac5dcd9a0823958”h2NhNh3Œdjango >=1.8”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×¸F-‰7hEMG&hFˆubh)”}”(hŒdbt-athena-adapter”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-dbt-athena-adapter-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ d4905db1bb1be6ab0a853eaaf8c1d8ab”h.Œ[https://conda.anaconda.org/conda-forge/noarch/dbt-athena-adapter-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@8ad1c817017b0c283b57f974141bea8bd1a22fe331d0023f843a0244780dce62”h2NhNh3(Œboto3 >=1.18.12”Œdbt-core >=1.0.1”Œpyathena >=2.2.0”Œpython >=3.6”Œtenacity >=6.3.1”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÀÌpEÂhEMú^hFˆubh)”}”(hŒlibxcursor-cos7-ppc64le”h#Œ1.1.15”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libxcursor-cos7-ppc64le-1.1.15-h9b0a68f_1105.tar.bz2”h+Œ 033889426f29c11a98c519a5dad5c31a”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-cos7-ppc64le-1.1.15-h9b0a68f_1105.tar.bz2”h0Œ@5d33eb279335eaa2f2da62cd2de848c2b2abe46e7b81a35229b53aadc1217dc8”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŽÔÿÎÙhEMcrhFˆubh)”}”(hŒ
r-hydrogof”h#Œ0.4_0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-hydrogof-0.4_0-r41hc72bb7e_0.tar.bz2”h+Œ 0565ac5ba50c0324f3aa9b2ec6452160”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hydrogof-0.4_0-r41hc72bb7e_0.tar.bz2”h0Œ@393dc8571f279cdd6b25d621d1c3b460d58200045afedd328d392d145fccbb68”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-hydrotsm >=0.5_0”Œr-xts >=0.8_2”Œr-zoo >=1.7_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÃzñ%hEJ–ª hFˆubh)”}”(hŒ
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r-combinat”Œr-dplyr”Œr-igraph”Œ
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r-adegenet”Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œ	r-foreach”Œr-pegas”t”h9hºh@Œ
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jsonpickle”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%jsonpickle-1.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0aab28320a7920fbdf0b2606d5cada2e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/jsonpickle-1.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@574917dd78d93909e147dbbd54006ea3ec61db902456199194cec311f67e6c7d”h2NhNh3Œimportlib_metadata”Œpython >=2.7”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ#”rJhEM*€hFˆubh)”}”(hŒ	r-simcomp”h#Œ3.3”h%Œr36h6115d3f_0”h'K hhh(h)hŒ#r-simcomp-3.3-r36h6115d3f_0.tar.bz2”h+Œ cfd348865c057e4b707635309476834f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-simcomp-3.3-r36h6115d3f_0.tar.bz2”h0Œ@9c2d6b4f0db91fd412108871940503274c6967affc476d57a17655972a9ed628”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-mratios”Œ
r-multcomp”Œ	r-mvtnorm”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×]-ÒÁ&éhEJÿ" hFˆubh)”}”(hŒr-mdmr”h#Œ0.5.1”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ"r-mdmr-0.5.1-r40hc72bb7e_2.tar.bz2”h+Œ b61ae739a3ee8b8de4056fb9d644c0ab”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mdmr-0.5.1-r40hc72bb7e_2.tar.bz2”h0Œ@964402a6b6c7042ea1227b1aebd9628c2bdde55304918e4d1ab95459a0f65f70”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-car”Œr-compquadform”Œr-lme4”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ,ADí‘hEJÒõ hFˆubh)”}”(hŒ	pyperclip”h#Œ1.8.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ$pyperclip-1.8.2-pyhd8ed1ab_1.tar.bz2”h+Œ c3bb87a2aebb82ca849697c3d14261f1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pyperclip-1.8.2-pyhd8ed1ab_1.tar.bz2”h0Œ@a4ff9e64435b8d49bc49bbb949a84f90050fbcffb72ac6fb0394024700e82e11”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAØ+“¸ÄœhEMÓ8hFˆubh)”}”(hŒr-gsubfn”h#Œ0.7”h%Œr40h6115d3f_1002”h'Mêhhh(h)hŒ%r-gsubfn-0.7-r40h6115d3f_1002.tar.bz2”h+Œ 5151179ba349bfa3220acf5f728931aa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-gsubfn-0.7-r40h6115d3f_1002.tar.bz2”h0Œ@622f983086eacd53e2a528ecbfe4eef144e77199bf3711c4e2bcb85b6167fc70”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-proto”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬æ5?hEJ“³ hFˆubh)”}”(hŒpcre-cos7-x86_64”h#Œ8.32”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ+pcre-cos7-x86_64-8.32-h9d98e8f_1104.tar.bz2”h+Œ dbe2b52beb5f3ea05e07a9befe0a03ce”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/pcre-cos7-x86_64-8.32-h9d98e8f_1104.tar.bz2”h0Œ@f80dde6322eebe255aabc430d337f1aabd07401ca0a4286d64fe052e9a7291a0”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGAØŽ/$ÌÍhEJä‚ hFˆubh)”}”(hŒr-auc”h#Œ0.3.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-auc-0.3.2-r40hc72bb7e_0.tar.bz2”h+Œ cfd9f1c25152d5dca7616d64c68785a4”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-auc-0.3.2-r40hc72bb7e_0.tar.bz2”h0Œ@50196ec85b3db7d232837aa91fe7ade35ce5fa2e5286d09e01a7c27bb1d2a807”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ’è‚®éyhEM½èhFˆubh)”}”(hŒrb-tzinfo-data”h#Œ1.2019.3”h%Œ
hc42de5b_0”h'K hhh(h)hŒ*rb-tzinfo-data-1.2019.3-hc42de5b_0.tar.bz2”h+Œ fb7dd492b6c9f73629fff5ba85133589”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/rb-tzinfo-data-1.2019.3-hc42de5b_0.tar.bz2”h0Œ@34111b6014107221ef28f841b88fb6c5d29353b984912d8f78290b7073a821c4”h2NhNh3Œrb-tzinfo >=1.0.0”Œruby >=2.6.3,<2.7.0a0”†”h9hºh@ŒMIT”hBŒMIT”hDGA×^¸«¥ãhEJ(; hFˆubh)”}”(hŒpygff”h#Œ0.0.2”h%Œpyh24bf2e0_0”h'K hhh(h)hŒ pygff-0.0.2-pyh24bf2e0_0.tar.bz2”h+Œ 2116683acb98761d2a00934e59315d83”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pygff-0.0.2-pyh24bf2e0_0.tar.bz2”h0Œ@1f9230c2b22e8e30aef4b80a78ee66a377c27277bfa8c94f1ca3fcb4ad0fa408”h2NhNh3Œnumpy >=1.9.3,<2.0a0”Œpandas >0.23.*”Œ
python >=3”‡”h9h?h@ŒBSD”hBŒBSD”hDGA×<«pƒhEM³,hFˆubh)”}”(hŒr-dtt”h#Œ0.1_2”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ$r-dtt-0.1_2-r40h6115d3f_1003.tar.bz2”h+Œ 57905f14d3709b1d982a8344ce62a32a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dtt-0.1_2-r40h6115d3f_1003.tar.bz2”h0Œ@0737e63a83cd0cb92849269e8bee035ebef6791a035d7910a1684064c592e501”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«ßZ/ÎÙhEMhFˆubh)”}”(hŒlibxau-devel-cos7-aarch64”h#Œ1.0.8”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5libxau-devel-cos7-aarch64-1.0.8-hdf0574f_1102.tar.bz2”h+Œ 663a0edd22f194208bb1240ea9734b9c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos7-aarch64-1.0.8-hdf0574f_1102.tar.bz2”h0Œ@1cb696e036c44246bbf3491caacee85d6fb2c57e46ca12f3e5a2955f0a67ce63”h2NhNh3Œ"libxau-cos7-aarch64 ==1.0.8 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×ÅµÁ”9XhEMs#hFˆubh)”}”(hŒwebkitgtk-cos6-x86_64”h#Œ1.4.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1webkitgtk-cos6-x86_64-1.4.3-h9b0a68f_1105.tar.bz2”h+Œ d57c82ef1f3d0bb38b64d12c3533f59b”h.Œ_https://conda.anaconda.org/conda-forge/noarch/webkitgtk-cos6-x86_64-1.4.3-h9b0a68f_1105.tar.bz2”h0Œ@fd1a22247a2c1f83d0a7afd7b041fabc87039bfa20ea0b5699349608db9f9336”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGAØ@W™ÌzáhEJœîs hFˆubh)”}”(hŒbetterproto”h#Œ1.2.5”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ&betterproto-1.2.5-pyhd3deb0d_1.tar.bz2”h+Œ d2e1acb1121ec47f0bbb6efc42153475”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/betterproto-1.2.5-pyhd3deb0d_1.tar.bz2”h0Œ@c17296cc99855b880fb6858b83c99c1e2a46fad13d9696fa4009ac7c8940ae42”h2NhNh3(Œdataclasses”Œgrpclib”Œpython”Œ
stringcase”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ôö§—\)hEMB\hFˆubh)”}”(hŒbranca”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!branca-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ f4cc65697763ef8c2f7555f1ec355a6b”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/branca-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@46175d4dd94e458b2c5303a4cd816db6c45ff302b1b1852c1fd37411ce171f05”h2NhNh3Œjinja2”Œpython >=3.7”Œ
setuptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÚV¢Ýó¶hEMÉlhFˆubh)”}”(hŒlibglvnd-egl-cos7-x86_64”h#Œ1.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4libglvnd-egl-cos7-x86_64-1.0.1-h9b0a68f_1105.tar.bz2”h+Œ f6c25c37939d1f82a98594176a1e881f”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-egl-cos7-x86_64-1.0.1-h9b0a68f_1105.tar.bz2”h0Œ@0c920339496e8261169ae4dcff643eebd698743805e39a16e7b29b98a09f4ce7”h2NhNh3Œ#libglvnd-cos7-x86_64 ==1.0.1 *_1105”Œ'mesa-libegl-cos7-x86_64 >=13.0.4 *_1105”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@qDºÐåhEM©ÎhFˆubh)”}”(hŒmosestokenizer”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒ!mosestokenizer-1.0.0-py_0.tar.bz2”h+Œ f9a1c4ebe9c0696db275841bd7cc6ee0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/mosestokenizer-1.0.0-py_0.tar.bz2”h0Œ@9e54c60b93f3d9078b6a9605f5255eaf4d56854a521eed439c7f348be75a4bcf”h2NhNh3(Œdocopt”Œopenfile”Œpython 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>=4.48.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÏ¬ìÔþhEJ'BØ hFˆubh)”}”(hŒatk-devel-cos7-aarch64”h#Œ2.28.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3atk-devel-cos7-aarch64-2.28.1-h9d98e8f_1104.tar.bz2”h+Œ 747e54b02de5f140a41cb323ed12cdc2”h.Œahttps://conda.anaconda.org/conda-forge/noarch/atk-devel-cos7-aarch64-2.28.1-h9d98e8f_1104.tar.bz2”h0Œ@ce865c96a1ff253b01f41dfe4f42d3c3cd04f104edc28f37e21a84bd0ab53650”h2NhNh3Œ atk-cos7-aarch64 ==2.28.1 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É|u,ZhEJ;À hFˆubh)”}”(hŒlibsoup-cos7-ppc64le”h#Œ2.62.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libsoup-cos7-ppc64le-2.62.2-h9d98e8f_104.tar.bz2”h+Œ 3cd0b4a49445ee3d3080f89ef47bdddc”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-ppc64le-2.62.2-h9d98e8f_104.tar.bz2”h0Œ@9704b4a644b84e5bd3ce176f3d07f3cbbac5ff4a7c0752a5fbcfaf802317aabd”h2NhNh3Œ+glib-networking-cos7-ppc64le >=2.38.0 *_104”Œ!glib2-cos7-ppc64le >=2.38.0 *_104”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É|žvÉhEJc] hFˆubh)”}”(hŒr-dmt”h#Œ0.8.20”h%Œr35_1002”h'Mêhhh(h)hŒr-dmt-0.8.20-r35_1002.tar.bz2”h+Œ 587bdd0a127135c53a514c1f961b3bb8”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-dmt-0.8.20-r35_1002.tar.bz2”h0Œ@b479e22eed7df818042fff1e8ff8c407b64aabbe43b8c77f0a10938222823f4e”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-mass”Œr-matrix”Œ	r-mvtnorm”t”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×MïÔþhEJLÐ hFˆubh)”}”(hŒlibnl-devel-cos6-x86_64”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ2libnl-devel-cos6-x86_64-1.1.4-ha826a6f_103.tar.bz2”h+Œ afaa4051d5694e696a27f52cdfabd52d”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos6-x86_64-1.1.4-ha826a6f_103.tar.bz2”h0Œ@4d43732e547100788cbdc42778bbdad1ef8c3ab90960ccec61bdf8ef65316e50”h2NhNh3Œlibnl-cos6-x86_64 ==1.1.4 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ0¶§ðhEJJL	 hFˆubh)”}”(hŒr-stabs”h#Œ0.6_4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-stabs-0.6_4-r42hc72bb7e_1.tar.bz2”h+Œ c596ac211daa63eaec13bbaefabbb49d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-stabs-0.6_4-r42hc72bb7e_1.tar.bz2”h0Œ@33effa76d31c84c44fcd6719f9454b4dbcc17619563a237b9c7e1653369aace4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐÆ?jhEJºd hFˆubh)”}”(hŒlibibumad-cos7-ppc64le”h#Œ22.4”h%Œha826a6f_103”h'Kghhh(h)hŒ0libibumad-cos7-ppc64le-22.4-ha826a6f_103.tar.bz2”h+Œ 4632453734d2bf9ed21d184d89da8997”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-ppc64le-22.4-ha826a6f_103.tar.bz2”h0Œ@39a052fa55155387b3f57d3b3a7a0d1b4231e326169fed6de198977efdd739f7”h2NhNh3Œ#rdma-core-cos7-ppc64le ==22.4 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×È,´«t¼hEM‘|hFˆubh)”}”(hŒlibibverbs-cos7-aarch64”h#Œ22.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ1libibverbs-cos7-aarch64-22.4-h9b0a68f_105.tar.bz2”h+Œ f94a33253702d2e9e2a44474d0f2aa9d”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibverbs-cos7-aarch64-22.4-h9b0a68f_105.tar.bz2”h0Œ@1fd27642dfabb535c4ed150b70c1a4e2e949f14a66320225011b724f360d03d8”h2NhNh3Œ#rdma-core-cos7-aarch64 ==22.4 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@XÜÀr°hEJ‰Y hFˆubh)”}”(hŒ	r-betareg”h#Œ3.1_4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-betareg-3.1_4-r42hc72bb7e_1.tar.bz2”h+Œ 136ae033abb79e0a9d763dad274f7ebb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-betareg-3.1_4-r42hc72bb7e_1.tar.bz2”h0Œ@6e0be1d60aca9a94d37e5593c25459e11290d2dc2fc315b7aa4ce5355e4586aa”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-flexmix”Œ	r-formula”Œr-lmtest”Œr-modeltools”Œ
r-sandwich”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØÑ¿ÒñªhEJ¡+ hFˆubh)”}”(hŒmarkdown-kernel”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒ"markdown-kernel-0.2.1-py_0.tar.bz2”h+Œ b8ba612842461fc3485f1eb871e82186”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/markdown-kernel-0.2.1-py_0.tar.bz2”h0Œ@13bfde0fc231eda60fc017bf9a436e7be9e9faf30ac6e11a7a4e9b9f1d8bf299”h2NhNh3(Œ	ipykernel”Œjupyter_client”Œmarkdown”Œpython”t”h9h?h@ŒBSD”hBŒBSD”hDGA×s”ú\hEM-)hFˆubh)”}”(hŒitsdangerous”h#Œ2.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'itsdangerous-2.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3c3de74912f11d2b590184f03c7cd09b”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/itsdangerous-2.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@31e3492686b4e92b53db9b48bc0eb03873b1caaf28629fee7d2d47627a2c56d3”h2NhNh3Œpython >=3.7”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ.ÏâMÓhEMù?hFˆubh)”}”(hŒcompas_skeleton”h#Œ1.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*compas_skeleton-1.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ 0c0d16f1f78fbf34ba1c79d6d94adbbb”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/compas_skeleton-1.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@da6ca0a23a3a032055c6bf1669ac6bbb6fec0f06a16deee57cf041bd79f4e920”h2NhNh3Œcompas”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ…ŸØ3hEMÂPhFˆubh)”}”(hŒr-tfautograph”h#Œ0.3.2”h%Œr36hc72bb7e_1”h'Khhh(h)hŒ)r-tfautograph-0.3.2-r36hc72bb7e_1.tar.bz2”h+Œ 95fc1a675631a7a62e8c8479273674ce”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tfautograph-0.3.2-r36hc72bb7e_1.tar.bz2”h0Œ@0a54a434c6f6f6d513068eb585a9d8f6d0084bd1b110613f4a396f3638cc12e0”h2NhNh3Œr-backports”Œr-base >=3.6,<3.7.0a0”Œr-reticulate”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¦¾\QûçhEJ9É hFˆubh)”}”(hŒ
r-snowfall”h#Œ1.84_6.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-snowfall-1.84_6.2-r42hc72bb7e_1.tar.bz2”h+Œ 757f2c5627e2957e5a7520ec970aceac”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-snowfall-1.84_6.2-r42hc72bb7e_1.tar.bz2”h0Œ@1c0fc80d4b99144fcd6967e7e34be9550f18f6863b6ff6d772608451dc808201”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-snow”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÐÆ_û÷ÏhEJK  hFˆubh)”}”(hŒr-climate4r.udg”h#Œ0.2.4”h%Œr36ha770c72_1”h'Khhh(h)hŒ+r-climate4r.udg-0.2.4-r36ha770c72_1.tar.bz2”h+Œ 42e01bc161fc6c583b53226f017f85de”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-climate4r.udg-0.2.4-r36ha770c72_1.tar.bz2”h0Œ@5b7208fdb6f59342e3e687325114c592b7f88362c076772628a1f255b0e7b6e9”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-loader.java”Œr-rcurl”‡”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØªÍÞ}p¤hEJÛP hFˆubh)”}”(hŒ#xorg-x11-server-common-cos7-ppc64le”h#Œ1.20.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ@xorg-x11-server-common-cos7-ppc64le-1.20.4-hdf0574f_1102.tar.bz2”h+Œ 8e3d6dcdd532d7b6be3466621e9187ef”h.Œnhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-server-common-cos7-ppc64le-1.20.4-hdf0574f_1102.tar.bz2”h0Œ@320558190b8e77224d7ea820a6f2fb4e67553af89dee918b7b1495638f6068f6”h2NhNh3Œ#pixman-cos7-ppc64le >=0.30.0 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;¦*~úhEM‚hFˆubh)”}”(hŒdaphne”h#Œ4.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!daphne-4.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 178076d05c3a00a1420e2b439e44c1b3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/daphne-4.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@8c000f8e7ff7f4258e4deeec361745b6e072de53a15718fa68bd46f2851458a4”h2NhNh3(Œasgiref >=3.2,<4”Œautobahn >=0.18”Œ
python >=3”Œtwisted >=18.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÐi1'hEMÎkhFˆubh)”}”(hŒr-korpus.lang.en”h#Œ0.1_4”h%Œr40h142f84f_0”h'K hhh(h)hŒ,r-korpus.lang.en-0.1_4-r40h142f84f_0.tar.bz2”h+Œ ac79055b71af2002386dc5e09adfca13”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-korpus.lang.en-0.1_4-r40h142f84f_0.tar.bz2”h0Œ@953f34bdbec6a12aa77da4694f6403f888258aa051da7298c5fb95fd5f294958”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-korpus >=0.11_2”Œ
r-sylly.en”‡”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×åàÕ²-hEMp“hFˆubh)”}”(hŒxbbg”h#Œ0.7.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxbbg-0.7.7-pyhd8ed1ab_0.tar.bz2”h+Œ 04b1ca9ffa195e43ff91cff11750a279”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/xbbg-0.7.7-pyhd8ed1ab_0.tar.bz2”h0Œ@e599f704577da2e6bf6a6c6db9e53148b452a9f5bab8184ffebb56febfc8a3e3”h2NhNh3(Œblpapi”Œnumpy >=1.15.0”Œpandas >=1.0.0”Œpyarrow >=1.0.1”Œpytest”Œpython >=3.6”Œpytz >=2020.4”Œruamel.yaml >=0.15.0”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¬
6…?}hEMuÀhFˆubh)”}”(hŒ	trampolim”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$trampolim-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 05d6834e2431edc98c97898ed627c1d3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/trampolim-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b9816688100c5d6d91c213163209db3145aa8f70c975eb237c8d10a76bdce47b”h2NhNh3(Œbackports.cached-property”Œ	packaging”Œpep621 >=0.4.0”Œpython >=3.7”Œtomli >=1.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÁ=Þ(´9hEMH;hFˆubh)”}”(hŒr-discriminer”h#Œ0.1_29”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ-r-discriminer-0.1_29-r41hc72bb7e_1003.tar.bz2”h+Œ 2ae9057c984e4782c1bf90c2a3d66674”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-discriminer-0.1_29-r41hc72bb7e_1003.tar.bz2”h0Œ@1249710d4a2dfba2ee9bf8e541d60d56435ce0037779f3a8077d5a344ce5da29”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+,Á‡hEJ¨ hFˆubh)”}”(hŒr-mglm”h#Œ0.2.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-mglm-0.2.1-r41hc72bb7e_0.tar.bz2”h+Œ 8583eeb71ad5fa19fac7aeba32206aab”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mglm-0.2.1-r41hc72bb7e_0.tar.bz2”h0Œ@ca40514c7caa116d52c441b6bc670f6fd62a7151d4fcc6f4707586a024ce5cad”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ•åP1'hEJ?T hFˆubh)”}”(hŒr-worrms”h#Œ0.4.2”h%Œr41h785f33e_1”h'Khhh(h)hŒ$r-worrms-0.4.2-r41h785f33e_1.tar.bz2”h+Œ f06e1f80134979bd8dda59cb0f95024c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-worrms-0.4.2-r41h785f33e_1.tar.bz2”h0Œ@0e6b7df2b9283b0281e060552b1439108f97eec476166a51f83000f0d4b6bc5d”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.6.0”Œr-data.table”Œr-jsonlite >=1.1”Œr-tibble >=1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÔöº^hEJ`­ hFˆubh)”}”(hŒr-plogr”h#Œ0.2.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ&r-plogr-0.2.0-r35h6115d3f_1002.tar.bz2”h+Œ da9b38f836705d541ba5f4c06f996050”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plogr-0.2.0-r35h6115d3f_1002.tar.bz2”h0Œ@a88eed3316b33ec4a74c3e6a8f7767f7c00ef9a54142ce76c329bf90debd1179”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×K¦LÌ1hEM`IhFˆubh)”}”(hŒr-segregation”h#Œ0.6.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-segregation-0.6.0-r42hc72bb7e_1.tar.bz2”h+Œ 871c8e5ab4883fbbea7c15f14c9725a5”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-segregation-0.6.0-r42hc72bb7e_1.tar.bz2”h0Œ@acde0763f31ecdb7b5977288893c02c415b9784a18c0caf454cbb28c532abcc0”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-data.table”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ® “uhEJÈä hFˆubh)”}”(hŒr-riingo”h#Œ0.3.1”h%Œr36h142f84f_0”h'K hhh(h)hŒ$r-riingo-0.3.1-r36h142f84f_0.tar.bz2”h+Œ 7853b92719464c9241ad2ef05289ddc0”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-riingo-0.3.1-r36h142f84f_0.tar.bz2”h0Œ@c07d6267ee46afc0426af36a95602fce0da4f0e006af4bd40675ae15aee9540d”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crayon >=1.3.4”Œr-dplyr >=0.7.4”Œr-glue >=1.3.1”Œr-httr >=1.3.1”Œr-jsonlite >=1.5”Œr-purrr >=0.2.4”Œr-rlang >=0.2.0”Œr-tibble >=1.4.2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ä"Û‰XhEJø hFˆubh)”}”(hŒcc-plugin-ncei”h#Œ2.0.2”h%Œpy_2”h'Khhh(h)hŒ!cc-plugin-ncei-2.0.2-py_2.tar.bz2”h+Œ 2943c88116663d2885fee2fab667999d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/cc-plugin-ncei-2.0.2-py_2.tar.bz2”h0Œ@be6d502730d216a27a3d2fedc1e486931b3cc508931b5675c11640bcba8d0e98”h2NhNh3(Œcompliance-checker >=2.2.0”Œisodate 0.5.4.*”Œpython”Œsix”t”h9h?h@Œ
Apache 2.0”hDGAÖìÝf¯®hEJB hFˆubh)”}”(hŒlibibmad-devel-cos6-x86_64”h#Œ1.3.11”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ7libibmad-devel-cos6-x86_64-1.3.11-h9b0a68f_1105.tar.bz2”h+Œ 2e71d2e97f89e978570736835ab5ece0”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libibmad-devel-cos6-x86_64-1.3.11-h9b0a68f_1105.tar.bz2”h0Œ@3441523a604f50957c5b55dd00c4ac936713b90296b5a8cecfbcd9445d89245f”h2NhNh3Œ$libibmad-cos6-x86_64 ==1.3.11 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ´ /hEMZhFˆubh)”}”(hŒ	r-squarem”h#Œ2021.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-squarem-2021.1-r40hc72bb7e_0.tar.bz2”h+Œ 39c860af5807ed951d4fb5f0a2c70ea8”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-squarem-2021.1-r40hc72bb7e_0.tar.bz2”h0Œ@9eda3849dba48073460cc861ebef9f982a752c167a26fd3761175f3265f20e52”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ÿ­T›¦hEJV hFˆubh)”}”(hŒthreejs-sage”h#Œ122”h%Œ
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ipyleaflet”Œnetworkx”Œnumpy”Œpandas”Œ
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r-magrittr”Œr-tibble”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬Èlx£×hEJó hFˆubh)”}”(hŒlibnl-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ.libnl-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h+Œ 268ad959292a25099813ec72bdd1b5ef”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h0Œ@5e202611eef10e82f5819b32835f699c4836d72c8ec1df83ae07fb0ad75f3da9”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ0“hEJ¿_ hFˆubh)”}”(hŒ	r-lmodel2”h#Œ1.7_3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-lmodel2-1.7_3-r41hc72bb7e_0.tar.bz2”h+Œ ebcbcc7e05f67cf11de438eebf3c72fa”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-lmodel2-1.7_3-r41hc72bb7e_0.tar.bz2”h0Œ@a7a156e4788a68b2e07335b2df70a86437833c6cbc9e309a1c720e1f865b5958”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØL„}™‰7hEJŠu hFˆubh)”}”(hŒr-genemodel”h#Œ1.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-genemodel-1.1.0-r41hc72bb7e_1.tar.bz2”h+Œ 92852005c0be830f10d8656360947293”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-genemodel-1.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@749e3443865ce85af6b5b902adaa83ef4a543ba6fd3aeb559ba9f6a471bf0981”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-stringr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+'lõ‘hhEJ-7 hFˆubh)”}”(hŒrb-jekyll-coffeescript”h#Œ1.1.1”h%Œ
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setuptools”Œu-msgpack-python”Œwatchdog”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Œ¥TÊÁhEJ|Z hFˆubh)”}”(hŒorbit2-devel-cos6-x86_64”h#Œ2.14.17”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5orbit2-devel-cos6-x86_64-2.14.17-h9d98e8f_104.tar.bz2”h+Œ 09c8216825c60e128929f8b41ad943d8”h.Œchttps://conda.anaconda.org/conda-forge/noarch/orbit2-devel-cos6-x86_64-2.14.17-h9d98e8f_104.tar.bz2”h0Œ@2cf1fce87b19f49d6f11b08d1cd55d49298d1087ed6da0871b4cebccaca4ed20”h2NhNh3Œ%glib2-devel-cos6-x86_64 >=2.2.0 *_104”Œ&libidl-devel-cos6-x86_64 >=0.8.2 *_104”Œ"orbit2-cos6-x86_64 ==2.14.17 *_104”‡”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×É}-©ühEJ:_ hFˆubh)”}”(hŒ
hs-process”h#Œ0.0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%hs-process-0.0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 19db98458ec9602e50091e11bd9d50eb”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/hs-process-0.0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@9e66f5cc089b94fef50f7301856b8678ae66613f44b17247a8223067550f88f1”h2NhNh3(Œfindiff >=0.8.*”Œgeopandas >=0.9.*”Œpython >=3.7”Œseaborn >=0.11.*”Œspectral >=0.22.*”Œtqdm >=4.60.*”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ »^¸RhEJŽ hFˆubh)”}”(hŒnapari-deepmeta”h#Œ1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(napari-deepmeta-1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 102df61087b4f5ad6ebb25e0bdb7cdb0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/napari-deepmeta-1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@6be49e0ce5a7b29893a8e8abdc4c4d4577ae509523a1037e4d396444e8b4180e”h2NhNh3(Œconnected-components-3d”Œnapari 0.4.8”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œopencv”Œpyqt”Œpytest”Œ
pytest-cov”Œ	pytest-qt”Œpytest-xvfb”Œpython >=3.6”Œqtpy >=1.9.0”Œscikit-image”Œ
tensorflow”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ‚ˆE3•hEJƒÕ hFˆubh)”}”(hŒr-dichromat”h#Œ2.0_0.1”h%Œr42ha770c72_1”h'Khhh(h)hŒ)r-dichromat-2.0_0.1-r42ha770c72_1.tar.bz2”h+Œ 330157b214f10ef86c709144bffa423f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-dichromat-2.0_0.1-r42ha770c72_1.tar.bz2”h0Œ@66c37f79a34be88a65ab22e4bc03748cd1af715ecc275cb507d06a57fc7c7454”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ¾÷£÷ÏhEJB‚ hFˆubh)”}”(hŒicecream”h#Œ2.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#icecream-2.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ 6e9df79dc265bd348b831b41d6c1784d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/icecream-2.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c63d1f83d7b6577f38c28158533ef4d77c61756f20f7861aecd80136740d2ebb”h2NhNh3(Œasttokens >=2.0.1”Œcolorama >=0.3.9”Œexecuting >=0.3.1”Œpygments >=2.2.0”Œpython >=2.7”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¶`ýdZhEMò0hFˆubh)”}”(hŒlibuuid-cos6-x86_64”h#Œ2.17.2”h%Œha826a6f_103”h'Kghhh(h)hŒ/libuuid-cos6-x86_64-2.17.2-ha826a6f_103.tar.bz2”h+Œ 9e9e1794ffe4c8ad58b1ccb598902da0”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libuuid-cos6-x86_64-2.17.2-ha826a6f_103.tar.bz2”h0Œ@cf9782b418700b2eaa4c3f17e088b05bbb7d8ea6bdde02da7b7426ca666daad4”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Æ{põÃhEMZ4hFˆubh)”}”(hŒr-checkpoint”h#Œ1.0.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-checkpoint-1.0.2-r40hc72bb7e_0.tar.bz2”h+Œ 521dc66723f033e689ab5504fed55452”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-checkpoint-1.0.2-r40hc72bb7e_0.tar.bz2”h0Œ@c77d1d9157a3dc705d5120fbfb3537269351c0b9edfa984ac48a46fe0ed4b1e8”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ
r-jsonlite”Œr-pkgdepends”Œr-withr”Œr-yaml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ}3
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Apache-2.0”hBŒApache”hDGAØ§à³‚~úhEMó“hFˆubh)”}”(hŒlibxkbcommon-devel-cos7-ppc64le”h#Œ0.7.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ:libxkbcommon-devel-cos7-ppc64le-0.7.1-h9d98e8f_104.tar.bz2”h+Œ 5bb8e708fe42498d4f9b6446b0921900”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-devel-cos7-ppc64le-0.7.1-h9d98e8f_104.tar.bz2”h0Œ@44f10aa6446f512f54d77ecab1716c4467bf2ace5e5cf233e772d4c0d1953d9f”h2NhNh3Œ'libxkbcommon-cos7-ppc64le ==0.7.1 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Ó÷-²-hEMÙÝhFˆubh)”}”(hŒ	r-pkgcond”h#Œ0.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-pkgcond-0.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 89b652348e3694e4664ff91e4ed54376”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pkgcond-0.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@e4836a179078f79708759cff7ca44a919f22daa6514e9af7bbccb3712619b1d8”h2NhNh3Œr-assertthat”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ6ë…hEJÔ hFˆubh)”}”(hŒr-gameofthrones”h#Œ1.0.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ+r-gameofthrones-1.0.2-r35h6115d3f_0.tar.bz2”h+Œ e17ac8376333fcf12203ad6f52575a67”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-gameofthrones-1.0.2-r35h6115d3f_0.tar.bz2”h0Œ@1f1e5a436d00c80433aedff6f8525556358956aef07a9c1adfbf85c4fd952eff”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-ggplot2 >=1.0.1”Œr-gridextra”Œr-mass”t”h9hºh@ŒMIT”hBŒMIT”hDGA×•fú¥ÒòhEJnW hFˆubh)”}”(hŒr-svmisc”h#Œ1.2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-svmisc-1.2.3-r41hc72bb7e_1.tar.bz2”h+Œ 8d3e00156e89cb792ce5066d3de4ef70”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-svmisc-1.2.3-r41hc72bb7e_1.tar.bz2”h0Œ@6195ad65929d82bafedc2cf4613fd62482f92772e52637d4778f8a1d12be9b93”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑF3%OßhEJâ hFˆubh)”}”(hŒlibxcb-cos7-x86_64”h#Œ1.13”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-libxcb-cos7-x86_64-1.13-h9b0a68f_1105.tar.bz2”h+Œ dc363f8cf9537eb2fc25957a6a13cc66”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-x86_64-1.13-h9b0a68f_1105.tar.bz2”h0Œ@54c92da012cdd38fcbd9da1760d2137d0e50ed933cb5592adff4046a8780f31e”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@fÍ«×
hEJ° hFˆubh)”}”(hŒlibxdamage-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_103”h'Kghhh(h)hŒ2libxdamage-cos7-ppc64le-1.1.4-ha826a6f_103.tar.bz2”h+Œ ccc1fa4d0bbbf3b5303401dad149fd8a”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxdamage-cos7-ppc64le-1.1.4-ha826a6f_103.tar.bz2”h0Œ@97e8b24bcc25b61e3ba15abc58e4cf2e1f0a64795e4aa492edc59a3c96d2e2e5”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/n¸RhEMXDhFˆubh)”}”(hŒ	r-genenet”h#Œ1.2.16”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-genenet-1.2.16-r41hc72bb7e_0.tar.bz2”h+Œ 10365bbad26c11d15098ee2958650d73”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-genenet-1.2.16-r41hc72bb7e_0.tar.bz2”h0Œ@52c8ecd9438a705f7c16962cd0ef202d97f7116079ac3df3168f2312536b4297”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-corpcor >=1.6.8”Œr-fdrtool >=1.2.15”Œr-longitudinal >=1.1.12”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØdaØ•/hEJc\ hFˆubh)”}”(hŒr-refmanager”h#Œ1.4.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-refmanager-1.4.0-r42hc72bb7e_1.tar.bz2”h+Œ 128da9e15001dfd516996a25441d55a0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-refmanager-1.4.0-r42hc72bb7e_1.tar.bz2”h0Œ@cb7f3708d5b4bd8a7e0bdf1673d52bc97e60029d37e9c21ccd0dd84a964861e4”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bibtex >=0.4.1”Œr-httr”Œ
r-jsonlite”Œr-lubridate >=1.5.0”Œr-plyr”Œ	r-stringr”Œr-xml2”t”h9hºh@Œ GPL-2.0-or-later OR BSD-3-Clause”hBŒGPL3”hDGAØÑû0A‰hEJ7! hFˆubh)”}”(hŒ
r-wikitaxa”h#Œ0.4.0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ&r-wikitaxa-0.4.0-r40h6115d3f_0.tar.bz2”h+Œ e4fff7c6c3c2e6a278ab5ed684aa3e13”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wikitaxa-0.4.0-r40h6115d3f_0.tar.bz2”h0Œ@10cd9ead0634494432e111d1225c378138f4095e09cf471d6c7c5425aa36b0e0”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.3.4”Œr-curl”Œr-data.table”Œ
r-jsonlite”Œr-tibble”Œr-wikidatar”Œr-xml2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¾ô–o²hEJFó hFˆubh)”}”(hŒr-metacycle”h#Œ1.2.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ'r-metacycle-1.2.0-r35h6115d3f_0.tar.bz2”h+Œ 36315ef91cdf46465bebf973653e17c1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metacycle-1.2.0-r35h6115d3f_0.tar.bz2”h0Œ@c9ff9807930ccc206f60e839b651b9afbaec4cb2c97908fb9eeccc31a6db61bb”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-gnm”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Pæ†m‘hhEJÃ‰ hFˆubh)”}”(hŒr-ggpattern”h#Œ1.0.1”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-ggpattern-1.0.1-r42hc72bb7e_0.tar.bz2”h+Œ 1610d628f01b6da05e5e48aa4b962877”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggpattern-1.0.1-r42hc72bb7e_0.tar.bz2”h0Œ@a71dd38ba90bd695a47e453be0efee336dc800f8e9828f029ddc12118dec4662”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-glue”Œr-gridpattern >=0.5.1”Œr-rlang”Œr-scales”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÛ
LZhEJk)1 hFˆubh)”}”(hŒrubrix-server”h#Œ0.18.0”h%Œ0_server_extra”h'K hhh(h)hŒ+rubrix-server-0.18.0-0_server_extra.tar.bz2”h+Œ 93adfd421b40a1328e32658680ac476c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/rubrix-server-0.18.0-0_server_extra.tar.bz2”h0Œ@17e40655012f28a889ea2f58adf0998d7c42e3ade6c90cec982a38116c573e76”h2NhNh3(Œaiofiles >=0.6.0,<0.7.0”Œbrotli-asgi >=1.1.0,<1.2.0”Œdeprecated >=1.2.0,<1.3.0”Œecdsa <0.15.0”Œfastapi >=0.75.0,<0.76.0”Œhurry.filesize”Œluqum >=0.11.0,<0.12.0”Œopensearch-py >=1.0.0,<1.1.0”Œpasslib >=1.7.4,<1.8.0”Œpsutil >=5.8.0,<5.9.0”Œpyasn1 0.4.8”Œpython-jose >=3.2.0,<3.3.0”Œpython-multipart >=0.0.5,<0.1.0”Œpyyaml >=5.4.1,<5.5.0”Œrsa 4.8”Œrubrix 0.18.0.*”Œscikit-learn >=0.24.2”Œ
smart_open”Œstopwordsiso >=0.6.1,<0.7.0”Œ uvicorn-standard >0.15.0,<0.18.0”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÏ‘‡ïžhEM§(hFˆubh)”}”(hŒr-lmms”h#Œ1.3.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-lmms-1.3.3-r41hc72bb7e_2.tar.bz2”h+Œ 6f7b2fa4d878dad357f958d07454333a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmms-1.3.3-r41hc72bb7e_2.tar.bz2”h0Œ@b3f6f0e0d7d8732c666bd4e24eb629c68a207336cf27a9ac8e6f7aef14ef2c8a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gdata”Œ	r-ggplot2”Œr-gplots”Œr-gridextra”Œr-lmesplines”Œr-nlme”Œ
r-reshape2”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒY˜³Æ¨hEJd hFˆubh)”}”(hŒr-praise”h#Œ1.0.0”h%Œr35h6115d3f_1003”h'Mëhhh(h)hŒ'r-praise-1.0.0-r35h6115d3f_1003.tar.bz2”h+Œ 34396e12e36e098fcebbbc2da10c22e6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-praise-1.0.0-r35h6115d3f_1003.tar.bz2”h0Œ@148ab7b51bd18fd8cf56d49eb8a78dcf99a86003abf5662bd33f955739bf9948”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×[Ý(®hEMZhFˆubh)”}”(hŒr-waterfall”h#Œ1.0.2”h%Œr35h6115d3f_1”h'Khhh(h)hŒ'r-waterfall-1.0.2-r35h6115d3f_1.tar.bz2”h+Œ 85704138f2a76416dd6894569b04c13f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waterfall-1.0.2-r35h6115d3f_1.tar.bz2”h0Œ@3272bf070a5455aa94ed07689643a0224022420f8af1d357fcadb9248578a596”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-lattice”†”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×L«‘‰&éhEMª®hFˆubh)”}”(hŒduet-python”h#Œ0.2.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&duet-python-0.2.7-pyhd8ed1ab_0.tar.bz2”h+Œ 2c320376f7dac7c8631dcf30ee2cd96a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/duet-python-0.2.7-pyhd8ed1ab_0.tar.bz2”h0Œ@ea0be92b7f18521fea5cc19ca4097b8bce3d11de16aab54298b3b8bee7ee364a”h2NhNh3Œpython >=3.7”Œtyping_extensions”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ¬f¦µ‘hhEMXehFˆubh)”}”(hŒr-ggplot.multistats”h#Œ1.0.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ/r-ggplot.multistats-1.0.0-r35h6115d3f_0.tar.bz2”h+Œ 8f889343aba9432d4449f618afe1735c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-ggplot.multistats-1.0.0-r35h6115d3f_0.tar.bz2”h0Œ@caa08da022ab31eddb693f4dc7b4338277ca6cb9fca3cb9d3a8c0ee18f203b64”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-ggplot2”Œr-hexbin”Œr-rlang”Œr-scales”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGA×® °`A‰hEMb½hFˆubh)”}”(hŒmultiprocessing-logging”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ2multiprocessing-logging-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 90d3baebed9f42b5254d2bdcd8560079”h.Œ`https://conda.anaconda.org/conda-forge/noarch/multiprocessing-logging-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@4fb6d2ac6c48181d1542a23c0adb583ff3c713df8805f4cd69c6954d37f06808”h2NhNh3Œpython >=3.6”…”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØØl¹.éyhEM34hFˆubh)”}”(hŒr-rationalexp”h#Œ0.2.2”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ)r-rationalexp-0.2.2-r40hc72bb7e_2.tar.bz2”h+Œ 051df8e740d2b78661f155cecc909e80”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rationalexp-0.2.2-r40hc72bb7e_2.tar.bz2”h0Œ@904bad78f34e3dbc84b2b5ab4e04bccbb2ca7ed4d993e5ca32a978eb33ad4ecd”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-snowfall”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+%ê}¸hEJÖ* hFˆubh)”}”(hŒr-gclus”h#Œ1.3.2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ#r-gclus-1.3.2-r36h6115d3f_2.tar.bz2”h+Œ 114296ef62e566a56e4f515818a52756”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gclus-1.3.2-r36h6115d3f_2.tar.bz2”h0Œ@c8723cc7271db46026347be5fdb8d25511b742a033a0687a3f1e7764a9a5644c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-cluster”†”h9hºh@Œ
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r-gridbase”h#Œ0.4_7”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ)r-gridbase-0.4_7-r40hc72bb7e_1003.tar.bz2”h+Œ 7c3477846f094f976b44e089453b8eab”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-gridbase-0.4_7-r40hc72bb7e_1003.tar.bz2”h0Œ@e7728475c1134228e8975a7e9cdf532f58432ea2f01e463ba93c860e96d3328c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ*ì^áº^hEJ«Õ hFˆubh)”}”(hŒcppy”h#Œ1.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcppy-1.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ bb170ddd072e90ffb83cbf2999ae1d90”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cppy-1.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7c0f48812960e60a81a01729ee77a06012022ddd3a0d6119ccc49988ec8bf7e1”h2NhNh3Œpython >=3.7”Œsetuptools >=42”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ˜g)™7LhEM­*hFˆubh)”}”(hŒtableschema-sql”h#Œ1.3.1”h%Œpy_0”h'K hhh(h)hŒ"tableschema-sql-1.3.1-py_0.tar.bz2”h+Œ a7f1065f00d08cc79d640a3f4b209854”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/tableschema-sql-1.3.1-py_0.tar.bz2”h0Œ@4fcb252f4d5fff55ba05607459fb7568f4b67dd9649f7e7f37a22b7a98a33fdc”h2NhNh3(Œpybloom_live >=2.2”Œpython”Œ	six >=1.9”Œsqlalchemy >=1.0”Œtableschema >=1.0”Œtabulator >=1.0.0a5”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ne¢=qhEMÞ3hFˆubh)”}”(hŒr-cghflasso”h#Œ0.2_1”h%Œr40hc72bb7e_1005”h'Míhhh(h)hŒ*r-cghflasso-0.2_1-r40hc72bb7e_1005.tar.bz2”h+Œ 2a1420fe10d352539ef38ebeb9d56175”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-cghflasso-0.2_1-r40hc72bb7e_1005.tar.bz2”h0Œ@78df9d95a6cc63524d7efce594b8cf6b617c32a8df48d1d5fe22b135dec5a02e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ*•N§ðhEJX< hFˆubh)”}”(hŒr-trust”h#Œ0.1_8”h%Œr36h6115d3f_1”h'Khhh(h)hŒ#r-trust-0.1_8-r36h6115d3f_1.tar.bz2”h+Œ 19109a445886f2d636837dfa1af0fdb3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-trust-0.1_8-r36h6115d3f_1.tar.bz2”h0Œ@bda63f475b5d79b26e694414eec33bac047d8bc827ec96a89afc582f2071af03”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×«ßµ×KÇhEJj hFˆubh)”}”(hŒ	coloraide”h#Œ1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"coloraide-1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8f74fa12a56d727f75f0f35fac131ff5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/coloraide-1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f727287b450566b634988ced0cda32c6a328e8920f4d197ae0a5f38d18d7d320”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÄJ‡b-hEJm hFˆubh)”}”(hŒ
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ipywidgets”Œjupyter”Œ
jupyterlab”Œmatplotlib-base”Œ
mdanalysis”Œnglview”Œnumpy”Œpandas”Œpython >=3.6”Œrdkit”Œseaborn”t”h9h?h@ŒMIT”hBŒMIT”hDGAØR&•K"ÑhEJ“
.hFˆubh)”}”(hŒ
r-envstats”h#Œ2.7.0”h%Œr40ha770c72_0”h'K hhh(h)hŒ&r-envstats-2.7.0-r40ha770c72_0.tar.bz2”h+Œ 7cad3cc222e6e5476ecbc73671774eec”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-envstats-2.7.0-r40ha770c72_0.tar.bz2”h0Œ@9eb1da63741ffdce8a08beff33c52612bd136509aa748fa0df3611e2d3332414”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”Œr-mass”Œ	r-nortest”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ‹Ó{«t¼hEJŠ] hFˆubh)”}”(hŒlibdrm-devel-cos7-x86_64”h#Œ2.4.97”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libdrm-devel-cos7-x86_64-2.4.97-h9d98e8f_1104.tar.bz2”h+Œ 9367c9498dc375def8b80b31944b210a”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-x86_64-2.4.97-h9d98e8f_1104.tar.bz2”h0Œ@886821ddf101aff497653fe7fb5aa508402d8f9b595bddb2c49586c8ff487c64”h2NhNh3Œ*kernel-headers-cos7-x86_64 >=2.6.27 *_1104”Œ"libdrm-cos7-x86_64 ==2.4.97 *_1104”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×É|´× hEJ8 hFˆubh)”}”(hŒ	r-compare”h#Œ0.2_6”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-compare-0.2_6-r36h6115d3f_1.tar.bz2”h+Œ daccc6629ff237577eef6216e4afd823”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-compare-0.2_6-r36h6115d3f_1.tar.bz2”h0Œ@1862f458a60b6a22ecb529eae23aeee14d1e56afcce3186d3f329351fbfc8426”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
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r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ÿ`BhEJÉe hFˆubh)”}”(hŒtatsu”h#Œ5.8.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ tatsu-5.8.2-pyhd8ed1ab_0.tar.bz2”h+Œ bc340606fbca0b965d9ceddb4903f610”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tatsu-5.8.2-pyhd8ed1ab_0.tar.bz2”h0Œ@64ddae19872d10a4e45fe14aa819b7964f317b154c9afce1ceaf50215786cb6d”h2NhNh3Œpython >=3.10”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ·æ6VE¢hEJ1 hFˆubh)”}”(hŒlibnl-cos7-aarch64”h#Œ1.1.4”h%Œh1795305_101”h'Kehhh(h)hŒ-libnl-cos7-aarch64-1.1.4-h1795305_101.tar.bz2”h+Œ 2e4a9e19cffc73437517b01d3a837abb”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libnl-cos7-aarch64-1.1.4-h1795305_101.tar.bz2”h0Œ@0a1c175e5a0471c7bc0406413fd6abe9f66c0fd8909e7a82aaaab2dd987c20d2”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×ÄÇ_>E¢hEJÅ8 hFˆubh)”}”(hŒjupyter-lsp”h#Œ1.2.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&jupyter-lsp-1.2.0-pyhd8ed1ab_0.tar.bz2”h+Œ 16354663d2144fad192af051af9444b4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-1.2.0-pyhd8ed1ab_0.tar.bz2”h0Œ@be18aff068ea183ec0baad78c7bc6a1869624fc5f2796704697b77ee7f97d502”h2NhNh3Œentrypoints”Œjupyter_server >=1.1.2”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ!¼ƒE¢hEM²—hFˆubh)”}”(hŒr-phylotate”h#Œ1.3”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-phylotate-1.3-r41hc72bb7e_2.tar.bz2”h+Œ 4b255aeaeecc35eddf047f8843a280d6”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-phylotate-1.3-r41hc72bb7e_2.tar.bz2”h0Œ@a57305de4ba9f0e2f48165c5a94077ae5ed56cc7274d94df2916ac50809a6fe9”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ6Ñ´Ý/hEJy hFˆubh)”}”(hŒnapari-annotatorj”h#Œ0.0.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,napari-annotatorj-0.0.7-pyhd8ed1ab_0.tar.bz2”h+Œ e2a4731406c2d818834c65151342f6ff”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/napari-annotatorj-0.0.7-pyhd8ed1ab_0.tar.bz2”h0Œ@1659874be7fccbfc67da0be4289aa21ab99c476e1f975bbda1c4096693b14e4e”h2NhNh3(Œimagecodecs”Œkeras”Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œopencv >=4.5.5”Œpython >=3.7”Œqtpy”Œroifile”Œscikit-image”Œtensorflow >=2.5.0”Œtifffile”Œtqdm”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¶–þffhEJ hFˆubh)”}”(hŒ
r-wikitaxa”h#Œ0.4.0”h%Œr42h785f33e_1”h'Khhh(h)hŒ&r-wikitaxa-0.4.0-r42h785f33e_1.tar.bz2”h+Œ 3afee5624b19ecd5c5f00867954f5bba”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-wikitaxa-0.4.0-r42h785f33e_1.tar.bz2”h0Œ@87f4e5e68ee4ff227e622a79b9abca014aa93f9efb9a4fad8fc99af15f256908”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.3.4”Œr-curl”Œr-data.table”Œ
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r-lazyeval”Œ
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ipywidgets”Œk3d”Œpython >=3.8”Œtqdm”Œweldx >=0.6”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØŸ˜Ï„jhEM\ÀhFˆubh)”}”(hŒr-basictrendline”h#Œ2.0.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-basictrendline-2.0.5-r42hc72bb7e_1.tar.bz2”h+Œ 754c38ffbfc63bd64123e299bfe5261e”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-basictrendline-2.0.5-r42hc72bb7e_1.tar.bz2”h0Œ@e5a1eaeb13a0ba437d5b0d77e2731f68f94ecfa1505df0810986359666eb58b5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-investr”Œr-scales”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ©BpÔþhEJÄ3 hFˆubh)”}”(hŒr-tcltk2”h#Œ1.2_11”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ(r-tcltk2-1.2_11-r41ha770c72_1002.tar.bz2”h+Œ 38e4438b8fc8c612e3d1cab30ac817d2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tcltk2-1.2_11-r41ha770c72_1002.tar.bz2”h0Œ@8111f58c9782e14cbac2c97efeb163f57fd87add09ab76b7e2ec0836e0d5a44e”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ*ì‰qXhEJo hFˆubh)”}”(hŒr-sparselda”h#Œ0.1_9”h%Œr351h6115d3f_0”h'K hhh(h)hŒ(r-sparselda-0.1_9-r351h6115d3f_0.tar.bz2”h+Œ 5a1217ddf02530e80c246efcd6bf439a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sparselda-0.1_9-r351h6115d3f_0.tar.bz2”h0Œ@1e3ae3cdc4f51e1eff94899e72da93bcd59cd35d7988c3ceee50809c684ae601”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-elasticnet”Œr-mass”Œr-mda”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×&»ÕÂhEJß hFˆubh)”}”(hŒgconf2-cos6-x86_64”h#Œ2.28.0”h%Œha826a6f_103”h'Kghhh(h)hŒ.gconf2-cos6-x86_64-2.28.0-ha826a6f_103.tar.bz2”h+Œ 1825768b754ca64b1db3df9b52bb7e04”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gconf2-cos6-x86_64-2.28.0-ha826a6f_103.tar.bz2”h0Œ@0729d5ba8cd89cffa7f3cc335422eb42a1b3b091ff9bb94d447f3b43f600bfe3”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{Ä¬hEJ®€ hFˆubh)”}”(hŒr-varfrompdb”h#Œ2.2.10”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-varfrompdb-2.2.10-r41hc72bb7e_1.tar.bz2”h+Œ 7e7b70992fe4abe02facac0159fed9c1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varfrompdb-2.2.10-r41hc72bb7e_1.tar.bz2”h0Œ@d9fb09b542a7471118594955f35a36ead2b7c539f56cbad9e1e1377d54344381”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-rismed”Œ	r-stringi”Œ	r-stringr”Œr-xml”Œr-xml2r”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑÌtx1'hEJ/² hFˆubh)”}”(hŒr-tabulizerjars”h#Œ1.0.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ+r-tabulizerjars-1.0.1-r36h6115d3f_0.tar.bz2”h+Œ 694098e4d0461f4d47c752f0a6eda618”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-tabulizerjars-1.0.1-r36h6115d3f_0.tar.bz2”h0Œ@7ad2518821850cb4044e953bd1b6afe8af083c3156f7aec27c2166c445a07a93”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rjava”†”h9hºh@ŒMIT”hBŒMIT”hDGA×wïõ¤“hEJj§ hFˆubh)”}”(hŒ
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r-jsonlite”Œr-v8”t”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×³‡ÝŽVhEJû> hFˆubh)”}”(hŒdremio-arrow”h#Œ1.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dremio-arrow-1.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ a744c5bb5d75ad7a94adc4dacada00d4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dremio-arrow-1.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4266a290ed06454ccac6583f31c8070e976a075667e0cf14fbcb01407ce3d7cf”h2NhNh3Œpandas >=1.3,<=1.4”Œpyarrow >=7.0,<=9.0”Œpython >=3.7,<3.11”‡”h9h?h@Œ
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recordtype”h#Œ1.3”h%Œpy_0”h'K hhh(h)hŒrecordtype-1.3-py_0.tar.bz2”h+Œ c973d0c64d26486eae282f8d2bafebd4”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/recordtype-1.3-py_0.tar.bz2”h0Œ@71b82c9b63ec351df5958c27f4615a710089c860814e6b41fa1a2f587850371f”h2NhNh3Œpython”Œsix”†”h9h?h@Œ
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Apache-2.0”hBŒApache”hDGA×‚.…¦ÙhEMÞLhFˆubh)”}”(hŒlibxrandr-devel-cos6-x86_64”h#Œ1.5.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6libxrandr-devel-cos6-x86_64-1.5.1-hdf0574f_102.tar.bz2”h+Œ bc9d427c0e19155b3b5fa7113660d97d”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos6-x86_64-1.5.1-hdf0574f_102.tar.bz2”h0Œ@dbc38ebc513d3a638c5fe212092162660e80cc992f026f5494fa6e7dd6f137d6”h2NhNh3Œ#libxrandr-cos6-x86_64 ==1.5.1 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å´êˆ  hEM:hFˆubh)”}”(hŒdjango-followit”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*django-followit-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 90cf0af44a35ab66e7a88c2ac6d62b86”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/django-followit-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@12776f965a6aeb626cccb25a55f309fba226a72b1dfd5c96c9cb5e269a08e27a”h2NhNh3Œdjango >=1.11,<3.0”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ’–¬¸RhEM7hFˆubh)”}”(hŒharfbuzz-cos7-ppc64le”h#Œ1.7.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0harfbuzz-cos7-ppc64le-1.7.5-h9d98e8f_104.tar.bz2”h+Œ 07125035aae63359aa0dfeb0f2771a36”h.Œ^https://conda.anaconda.org/conda-forge/noarch/harfbuzz-cos7-ppc64le-1.7.5-h9d98e8f_104.tar.bz2”h0Œ@1368253df721748cdb037fb9aea834c780f6cb11fce7852d04824de1dbaffbb0”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyN_ïžhEJúÂ hFˆubh)”}”(hŒr-combinepvalue”h#Œ1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-combinepvalue-1.0-r41hc72bb7e_1.tar.bz2”h+Œ 6fb26da62d40a000dfe94d8c4f22bb4c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-combinepvalue-1.0-r41hc72bb7e_1.tar.bz2”h0Œ@4ba1def71629e27a05b0f177d9f5ba00baa33d58a772ebea0e0f53f055c4acaa”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ“ÒXbhEM ”hFˆubh)”}”(hŒr-gptk”h#Œ1.08”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ$r-gptk-1.08-r36h6115d3f_1001.tar.bz2”h+Œ 6b6c60d45f4724a74afa185ac5a3d0f1”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-gptk-1.08-r36h6115d3f_1001.tar.bz2”h0Œ@0ace221b6b9b20782ccaf1f647b2de7bc48ccac9a3533a8f8fbe7a05c4ce1aa4”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-fields”Œr-matrix”‡”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×MhÊ-hEJUþ hFˆubh)”}”(hŒshellingham”h#Œ1.4.0”h%Œpyh44b312d_0”h'K hhh(h)hŒ&shellingham-1.4.0-pyh44b312d_0.tar.bz2”h+Œ 437655338696f9d0dfdb0a024e66b255”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/shellingham-1.4.0-pyh44b312d_0.tar.bz2”h0Œ@7d79f4500b4267414a2bd6a08e74aedc1629feb890efec71b0480501d37f148a”h2NhNh3Œpython”…”h9h?h@Œ
ISC (ISCL)”hDGAØú9"ÑhEM¥,hFˆubh)”}”(hŒdagster-bash”h#Œ0.7.16”h%Œpy_0”h'K hhh(h)hŒ dagster-bash-0.7.16-py_0.tar.bz2”h+Œ 766ffedecaaafba1e86a3d1e6c2fcc93”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/dagster-bash-0.7.16-py_0.tar.bz2”h0Œ@0bacd38983c8f63fa4ea640850dca6f2da173d1eb05391d4ed9da7102c3351aa”h2NhNh3Œdagster 0.7.16.*”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×·8KÇhEMRPhFˆubh)”}”(hŒ
r-writexls”h#Œ6.4.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-writexls-6.4.0-r41hc72bb7e_0.tar.bz2”h+Œ 94701fc48df8d766f7baf9705971be05”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-writexls-6.4.0-r41hc72bb7e_0.tar.bz2”h0Œ@06a839e75e5d5fb190f4ab197cb4aa47b2e63afaba983e9089f9d9f33119469b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ†Ä1‡hEJk	 hFˆubh)”}”(hŒ	construct”h#Œ2.10.67”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&construct-2.10.67-pyhd8ed1ab_0.tar.bz2”h+Œ c0342083bda76a952543457ce95e99b6”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/construct-2.10.67-pyhd8ed1ab_0.tar.bz2”h0Œ@9e38b94e38131015bb734e57b761f076d200c8e4aeff24d055a520d8f2fbdc99”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØBóQÊÁhEM®ÊhFˆubh)”}”(hŒr-loader”h#Œ1.7.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ$r-loader-1.7.1-r40ha770c72_0.tar.bz2”h+Œ c21b794fe445c6a10ec677f87ed6564c”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-loader-1.7.1-r40ha770c72_0.tar.bz2”h0Œ@4bcde0a5ab39a32d05b1aa4b3c430fdc760121fcfa121d264ab05d0d5e86c20f”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œr-climate4r.udg >=0.2.0”Œr-loader.java”Œr-rcurl”Œr-rjava”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ¡,QÍ¡ËhEJ£Â hFˆubh)”}”(hŒflask-openid”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'flask-openid-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ b537163b272bcaef3c03b2ed43db6352”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/flask-openid-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6bb25f597cc544980edc3d0dc10a271026a12dcf8922fb0bb7fd2ceb7979dcb9”h2NhNh3Œflask >=0.10.1”Œpython >=3.6”Œpython3-openid >=2.0”‡”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAØa©©ühEM92hFˆubh)”}”(hŒsithom”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!sithom-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 46cc8367cb02dd3d74e3a6822d06cc98”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/sithom-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@f6414821b2200ba0f5dcad39176c95cfff434a7b81ed700fe2fdf13c85c7761f”h2NhNh3(Œcmocean”Œjupyterthemes”Œmatplotlib-base”Œpython >=3.8”Œseaborn”Œ	typeguard”Œuncertainties”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÂ» põÃhEM5QhFˆubh)”}”(hŒ
r-ic.infer”h#Œ1.1_6”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ)r-ic.infer-1.1_6-r42hc72bb7e_1003.tar.bz2”h+Œ 47dcdb1b59f9624f27f6520855ddc1bf”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ic.infer-1.1_6-r42hc72bb7e_1003.tar.bz2”h0Œ@bb69d9faea58da8e8ffee35e612291897260a3b5f468f679039d476016d22055”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œ
r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒavÙ©ühEJ)¸ hFˆubh)”}”(hŒ	r-tsclust”h#Œ1.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-tsclust-1.3.1-r41hc72bb7e_0.tar.bz2”h+Œ cefaf03ccce0e2a23f1adedea0ad1ae8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-tsclust-1.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@49e04f02353bab5c6eb3149d41adf4d6950a80d537841142af84e92861fb830e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-dtw”Œ
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r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-r6”Œr-rlang”Œr-rstudioapi”Œr-shiny”Œr-tibble”Œr-tidyr”Œr-tidyselect”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒFŠÇ²hEJ^ hFˆubh)”}”(hŒr-unbalanced”h#Œ2.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-unbalanced-2.0-r41hc72bb7e_2.tar.bz2”h+Œ 62c4fb2a493c3d3224349825f3f4f901”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-unbalanced-2.0-r41hc72bb7e_2.tar.bz2”h0Œ@730f4a74a7a187e75fd4e396fa474e2b474fb80054904a9ee50dda8b7c133f33”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-doparallel”Œr-fnn”Œ	r-foreach”Œr-mlr”Œr-rann”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÒééýôhEJ'p hFˆubh)”}”(hŒcdk”h#Œ2.5”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒcdk-2.5-hd8ed1ab_0.tar.bz2”h+Œ 597ccb8e6f0d71d91619057d0f4a4b3b”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/cdk-2.5-hd8ed1ab_0.tar.bz2”h0Œ@1e791343530da6f84c275c0b85df72866b9146efd0d4110d9449a9eab91575d4”h2NhNh3Œopenjdk >=8”…”h9hºh@ŒLGPL-2.0-only”hBŒLGPL”hDGAØSÎÛ+33hEJ³.›hFˆubh)”}”(hŒstopit”h#Œ1.1.2”h%Œpy_0”h'K hhh(h)hŒstopit-1.1.2-py_0.tar.bz2”h+Œ a07ae164291cd456aa3012f44654a950”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/stopit-1.1.2-py_0.tar.bz2”h0Œ@1377c7b0e79cff757df64be25b47c565233d44247d21350b4be458bf965d3fd1”h2NhNh3Œpython”Œ
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r-pheatmap”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ0¦È´hEJP hFˆubh)”}”(hŒ xorg-x11-proto-devel-cos6-x86_64”h#Œ7.7”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9xorg-x11-proto-devel-cos6-x86_64-7.7-h9b0a68f_105.tar.bz2”h+Œ f236aff30fcec4bf7d0e1c1b643c40cb”h.Œghttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos6-x86_64-7.7-h9b0a68f_105.tar.bz2”h0Œ@9e7a7ca1d264688315ff5d4b56b273132b913f3c315e5b248cc5fb4e75c602e8”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@U…LIºhEJúæ hFˆubh)”}”(hŒ	r-nor1mix”h#Œ1.3_0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ%r-nor1mix-1.3_0-r42hc72bb7e_3.tar.bz2”h+Œ ef6e9c9b1ee9f1a810dc7fd1c4c1ce9b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-nor1mix-1.3_0-r42hc72bb7e_3.tar.bz2”h0Œ@dad705b7ad8393923978fdb9a439356aebe376e20d74f39679fc93c606d1e802”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ”²3"ÑhEJ?D hFˆubh)”}”(hŒr-drought4r”h#Œ0.2.0”h%Œr40ha770c72_0”h'K hhh(h)hŒ'r-drought4r-0.2.0-r40ha770c72_0.tar.bz2”h+Œ e982616db0127076f3abbda344f47bc4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-drought4r-0.2.0-r40ha770c72_0.tar.bz2”h0Œ@bb36e9457d1c46b555807cbcfb60fbb345de4ff9256aeb57dec24a4aacd57ebf”h2NhNh3(Œr-abind”Œr-base >=4.0,<4.1.0a0”Œ
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r-sparsebn”h#Œ0.1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-sparsebn-0.1.2-r42hc72bb7e_1.tar.bz2”h+Œ 890311ac117f96e13b54fd89e3575ea5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparsebn-0.1.2-r42hc72bb7e_1.tar.bz2”h0Œ@3ffb9ba668cf54894d116e3a472285ba5242a3809d85f46db9a8df26fefd8cd1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ccdralgorithm >=0.0.4”Œr-discretecdalgorithm >=0.0.5”Œr-sparsebnutils >=0.0.5”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ¾¾VhEJg6 hFˆubh)”}”(hŒr-dataexplorer”h#Œ0.8.2”h%Œr36hc72bb7e_0”h'K hhh(h)hŒ*r-dataexplorer-0.8.2-r36hc72bb7e_0.tar.bz2”h+Œ f941c1dbed2a15c0f1d349c61276c712”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-dataexplorer-0.8.2-r36hc72bb7e_0.tar.bz2”h0Œ@b0470d921976ce08d2f74ab78e93196e7e153f1efc8a18b862c0cb2c164024d1”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-data.table >=1.12.8”Œ	r-ggplot2”Œr-gridextra”Œr-networkd3 >=0.4”Œr-reshape2 >=1.4.3”Œr-rmarkdown >=2.0”Œr-scales >=1.1.0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×ö†<ïžhEJQ' hFˆubh)”}”(hŒlibdrm-devel-cos7-aarch64”h#Œ2.4.97”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ6libdrm-devel-cos7-aarch64-2.4.97-h9b0a68f_1105.tar.bz2”h+Œ 77d2f4a576037b4c14dd307ab282a53f”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libdrm-devel-cos7-aarch64-2.4.97-h9b0a68f_1105.tar.bz2”h0Œ@7a74dea8c2055ed16150fe7154c3231b2deca25c7d8e098368148d14f93fbd34”h2NhNh3Œ+kernel-headers-cos7-aarch64 >=2.6.27 *_1105”Œ#libdrm-cos7-aarch64 ==2.4.97 *_1105”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œó{C–hEJy hFˆubh)”}”(hŒlibsepol-devel-cos7-ppc64le”h#Œ2.5”h%Œh1795305_1101”h'MMhhh(h)hŒ5libsepol-devel-cos7-ppc64le-2.5-h1795305_1101.tar.bz2”h+Œ 0a688519b6ac9b9f6713f68fe0165900”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-ppc64le-2.5-h1795305_1101.tar.bz2”h0Œ@6f29ae6e127596f1755897f978347a78dc43a0ebc71d3eb49a6c036adfc9e079”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å&²áHhEMÛ«hFˆubh)”}”(hŒcron-descriptor”h#Œ1.2.24”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+cron-descriptor-1.2.24-pyhd8ed1ab_0.tar.bz2”h+Œ 0bf8e4361f7da176538018dc454e2fc3”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/cron-descriptor-1.2.24-pyhd8ed1ab_0.tar.bz2”h0Œ@8fd7d0a69e1da9bf81616d9e4e07ac51622057553a74b6ad9bc3b78c1b0c7033”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ
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r-hydrogof”h#Œ0.4_0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-hydrogof-0.4_0-r42hc72bb7e_1.tar.bz2”h+Œ c5e522256f599881720dadb807ed12df”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-hydrogof-0.4_0-r42hc72bb7e_1.tar.bz2”h0Œ@d670fa3092657bc54d017040264db5b4ac7337cf8decc148d4ad1b1ecdaaf939”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-hydrotsm >=0.5_0”Œr-xts >=0.8_2”Œr-zoo >=1.7_2”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑ©“V§ðhEJÅ¸ hFˆubh)”}”(hŒlibx11-cos7-ppc64le”h#Œ1.6.7”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ/libx11-cos7-ppc64le-1.6.7-h9d98e8f_1104.tar.bz2”h+Œ 7e27877803ebe5bce67f53f948db21d1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libx11-cos7-ppc64le-1.6.7-h9d98e8f_1104.tar.bz2”h0Œ@c25b865dd5796b0f24c32656989a1f3d3b44be97e6ba0f1a3884fa05825b025a”h2NhNh3Œ)libx11-common-cos7-ppc64le >=1.6.7 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É|PÓÆ¨hEJÊK hFˆubh)”}”(hŒpysindy”h#Œ1.3.0”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ"pysindy-1.3.0-pyhd3deb0d_0.tar.bz2”h+Œ 2a36a75d01aecc7bb7da0c4a5ee78ec6”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pysindy-1.3.0-pyhd3deb0d_0.tar.bz2”h0Œ@7cd5c8a7b47148ffe01a8a2c40dded64f5a6a997dfc611e98e7a0e05bf17103f”h2NhNh3(Œ
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r-magrittr”Œr-purrr”Œr-rlang”Œr-scales”Œ	r-stringr”Œ
r-survival”Œr-survminer >0.4.0”Œr-tibble”Œr-tidyr”Œr-tidytidbits”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ§qEÂhEJØS hFˆubh)”}”(hŒlibxau-cos7-x86_64”h#Œ1.0.8”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.libxau-cos7-x86_64-1.0.8-h9b0a68f_1105.tar.bz2”•      h+Œ 205d8804938fa36c39423de41f33952a”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxau-cos7-x86_64-1.0.8-h9b0a68f_1105.tar.bz2”h0Œ@07520e3e926f328d26c81930a048c847ca61fc3971c476ee712c507e759748b8”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@g«bNhEMÑbhFˆubh)”}”(hŒ	r-mltools”h#Œ0.3.5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-mltools-0.3.5-r41hc72bb7e_1.tar.bz2”h+Œ ca23ce3bb8ca65cad092461397c12f03”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mltools-0.3.5-r41hc72bb7e_1.tar.bz2”h0Œ@ae9a3bf31901c4104e6e23a9c1abaf0a4f100f977322d049f01906fdfefa4b7b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-data.table >=1.9.7”Œr-matrix”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+"†r°!hEJÏ hFˆubh)”}”(hŒ	r-foreach”h#Œ1.5.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-foreach-1.5.2-r41hc72bb7e_1.tar.bz2”h+Œ 4ac59bcf363990abb478e9d358ea76ff”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-foreach-1.5.2-r41hc72bb7e_1.tar.bz2”h0Œ@028ea5ed35af8f01f505d303b64a114031ec452ceca104a4cfd22716fefba6e8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-codetools”Œr-iterators”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÐ;©nÙhEJƒ hFˆubh)”}”(hŒr-dbplot”h#Œ0.3.3”h%Œr40h6115d3f_1”h'Khhh(h)hŒ$r-dbplot-0.3.3-r40h6115d3f_1.tar.bz2”h+Œ 0129fe7f576002c0ab1772fd2d5317b9”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dbplot-0.3.3-r40h6115d3f_1.tar.bz2”h0Œ@cfe22f30fc9df045bd4e32602ec44fd3334ab3cfaed7a5459c79c065c44e6854”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr >=0.7”Œ	r-ggplot2”Œr-purrr”Œr-rlang >=0.4”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬æL9xÕhEJ— hFˆubh)”}”(hŒnss-cos6-x86_64”h#Œ3.36.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ,nss-cos6-x86_64-3.36.0-h9b0a68f_1105.tar.bz2”h+Œ 35f6bde16bc7ecc5fb5c8a08c8c7e74b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos6-x86_64-3.36.0-h9b0a68f_1105.tar.bz2”h0Œ@6600c69bdede6136107b4c3bbe831ec80cfebb22aa3d710678e9fc915cd5ad2c”h2NhNh3(Œ nspr-cos6-x86_64 >=4.19.0 *_1105”Œ'nss-softokn-cos6-x86_64 >=3.14.3 *_1105”Œ$nss-util-cos6-x86_64 >=3.36.0 *_1105”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@^0ãdZhEJ„; hFˆubh)”}”(hŒr-base64”h#Œ2.0.1”h%Œr41ha770c72_1”h'Khhh(h)hŒ$r-base64-2.0.1-r41ha770c72_1.tar.bz2”h+Œ 98e220363d1bc37ad54798205a8b06b3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-base64-2.0.1-r41ha770c72_1.tar.bz2”h0Œ@06653c4ed64ea8a83874ae145c09076033f3932645dfaf511ec2169e650be79b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-openssl”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ©N@bhEJ‚ hFˆubh)”}”(hŒr-rebus.unicode”h#Œ0.0_2”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ.r-rebus.unicode-0.0_2-r36h6115d3f_1002.tar.bz2”h+Œ ea53579ca587f4764f20651edf5325a5”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-rebus.unicode-0.0_2-r36h6115d3f_1002.tar.bz2”h0Œ@84b950fdadd8199e17d39180071a45519eb3331de80ddfa13522326090022a8a”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rebus.base >=0.0_2”†”h9hºh@ŒOther”hDGA×¬@ž©ühEJT hFˆubh)”}”(hŒlibsepol-devel-cos7-ppc64le”h#Œ2.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ5libsepol-devel-cos7-ppc64le-2.5-h9d98e8f_1104.tar.bz2”h+Œ 69c19871ecbfd0549a502c01b2acbf8e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-ppc64le-2.5-h9d98e8f_1104.tar.bz2”h0Œ@eb0a1cb7b3c6add357fb70e049f77e74b6351ed64b3925ef8a84256e263f4452”h2NhNh3Œ"libsepol-cos7-ppc64le ==2.5 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×É}$[…hEM×®hFˆubh)”}”(hŒ	bowtie-py”h#Œ0.8.1”h%Œpy_0”h'K hhh(h)hŒbowtie-py-0.8.1-py_0.tar.bz2”h+Œ b286a14d18ebbbea21194b3395d82447”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/bowtie-py-0.8.1-py_0.tar.bz2”h0Œ@9338dd6616b8b70fe73b307d56ccb3d7f5256543ed35081375c86a3b1306746a”h2NhNh3(Œclick”Œeventlet”Œflask”Œflask-socketio”Œfuture”Œjinja2”Œmarkdown”Œmsgpack-python”Œpython”Œyarn”t”h9h?h@ŒMIT”hBŒMIT”hEMB›hFˆubh)”}”(hŒ	r-investr”h#Œ1.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-investr-1.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 090667b7e66050ab57337d6c8c8942cd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-investr-1.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@ce225ac8e824254dc89eaef2b923c13123adc0816f5383b0314dddbd695075fd”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-nlme”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ‘f£Ï®hEJmk hFˆubh)”}”(hŒlibx11-devel-cos7-aarch64”h#Œ1.6.7”h%Œh1795305_101”h'Kehhh(h)hŒ4libx11-devel-cos7-aarch64-1.6.7-h1795305_101.tar.bz2”h+Œ 16641865c6fb2fc82c07913762ae7a6e”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-aarch64-1.6.7-h1795305_101.tar.bz2”h0Œ@44db56a0224b40ac845a2f9498c144a27d40f89c429c07cf7bfdd229b89c2dd2”h2NhNh3Œlibx11-cos7-aarch64 1.6.7”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å‰ bNhEJK9 hFˆubh)”}”(hŒr-paireddata”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-paireddata-1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 05e3f2913864f9341412a55bd20ebd61”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paireddata-1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@636f3b30cea8fc821047f696039dbfee611a69c8d1fbb448e3239fdb8ea6c42c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-gld”Œ	r-lattice”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+ÝKÕ¡ËhEJZë hFˆubh)”}”(hŒ
r-elliptic”h#Œ1.4_0”h%Œr40h6115d3f_2”h'Khhh(h)hŒ&r-elliptic-1.4_0-r40h6115d3f_2.tar.bz2”h+Œ 76bcb8130e8e37b8c54e598b0b4e8620”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elliptic-1.4_0-r40h6115d3f_2.tar.bz2”h0Œ@90770dec4547f5811d40db6090e8b57f60a458f0e76f07e64b3962ed371333a0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«Ñ6>ÙhEJˆ¢ hFˆubh)”}”(hŒ	rb-execjs”h#Œ2.7.0”h%Œ
hd4c1694_0”h'K hhh(h)hŒ"rb-execjs-2.7.0-hd4c1694_0.tar.bz2”h+Œ e1ae8f08e1fe182cdec3544dd96f2fb4”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-execjs-2.7.0-hd4c1694_0.tar.bz2”h0Œ@0b462d488fbae89ffd3b655d7a8bb9cae08f92f51598bab9d8447f56370304ec”h2NhNh3Œruby >=2.5.5,<2.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×[.OòÀƒhEMd„hFˆubh)”}”(hŒlibxi-cos7-ppc64le”h#Œ1.7.9”h%Œh9b0a68f_105”h'Kihhh(h)hŒ-libxi-cos7-ppc64le-1.7.9-h9b0a68f_105.tar.bz2”h+Œ 20a23e3465e855089448ea76be0db00e”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-ppc64le-1.7.9-h9b0a68f_105.tar.bz2”h0Œ@95db8a323c598f7cecfd9620391bc89ba2ab5ca85dfd8b8b2bd8c0ccbe539108”h2NhNh3Œ&libx11-cos7-ppc64le >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Ž~ÙhEM¨—hFˆubh)”}”(hŒ	r-remotes”h#Œ2.4.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-remotes-2.4.2-r40hc72bb7e_0.tar.bz2”h+Œ 215ef1f004087a5f8f677d1c8ac82bd0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-remotes-2.4.2-r40hc72bb7e_0.tar.bz2”h0Œ@8d6ffa39613a57a19b87f059e6e324d1e947826de3ce08996e16af6f1bdb6bcc”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØi™æÕ¸hEJ†S hFˆubh)”}”(hŒr-ggpackets”h#Œ0.2.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-ggpackets-0.2.1-r42hc72bb7e_1.tar.bz2”h+Œ 67ad1edb92cbb8e79ca0266175697b01”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggpackets-0.2.1-r42hc72bb7e_1.tar.bz2”h0Œ@1705f0eb17906e778ef383eac55fe077a6142295c65892c9116fca01c401d5b0”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crayon”Œ	r-ggplot2”Œr-rlang”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒqe)ûçhEJ¤' hFˆubh)”}”(hŒr-survminer”h#Œ0.4.9”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-survminer-0.4.9-r40hc72bb7e_0.tar.bz2”h+Œ c05b649741ee765193272f3f5742c3b9”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-survminer-0.4.9-r40hc72bb7e_0.tar.bz2”h0Œ@6d1a567990b2666a1d615644c67ebe0c9e29936d94a7f59dec7743347d18fb2d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-broom”Œr-dplyr”Œ	r-ggplot2”Œr-ggpubr >=0.1.6”Œr-ggtext >=0.1.0”Œr-gridextra >=2.0”Œ
r-magrittr”Œ	r-maxstat”Œr-purrr”Œr-rlang”Œr-scales”Œ
r-survival”Œ
r-survmisc”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÖ¾vÉhEJ/ hFˆubh)”}”(hŒpyswmm”h#Œ0.6.2”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ!pyswmm-0.6.2-pyh9f0ad1d_0.tar.bz2”h+Œ 1eeb256718b17fa8a04fe52c516ba464”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/pyswmm-0.6.2-pyh9f0ad1d_0.tar.bz2”h0Œ@8b69ed92aa4d006f3b7cd1ecab3921504db30996f66b290c43ec4be898d58a89”h2NhNh3Œpython”Œsix”Œswmm”‡”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×Ê­RohEMç¸hFˆubh)”}”(hŒmafredo”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"mafredo-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ a422d889d017686ca0481a4b3b66e1ae”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mafredo-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9bdfadfa50b62c564cde5970f3424d1bfed28cc08e9a549a1d6dbdf4cf49cc16”h2NhNh3(Œ
matplotlib”Œnumpy”Œpython >=3.5”Œpyyaml”Œscipy”Œxarray”t”h9h?h@ŒMPL-2.0”hBŒMOZILLA”hDGAØ6¥9-hEMlhFˆubh)”}”(hŒr-ada”h#Œ2.0_5”h%Œr36_1001”h'Méhhh(h)hŒr-ada-2.0_5-r36_1001.tar.bz2”h+Œ 491e1b578d24c895db09a8d15ecf6f87”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-ada-2.0_5-r36_1001.tar.bz2”h0Œ@b8fcc4d9ce4513ea5528a50fa11124d9a8dfa5987a650e16c0ffce0ef7529f4d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-rpart”†”h9hºh@ŒGPL”hBŒGPL”hDGA×L«dÜjhEJ– hFˆubh)”}”(hŒ	r-dtangle”h#Œ2.0.9”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-dtangle-2.0.9-r41hc72bb7e_2.tar.bz2”h+Œ 1bfcd71974fc68ea2f9433412d68b48c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dtangle-2.0.9-r41hc72bb7e_2.tar.bz2”h0Œ@96b32b90abdf3652b7675d14437a4db8c4c06649043cca1b94ca7e9240f21045”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
r-deoptimr”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ…’ÎÙhEJVy hFˆubh)”}”(hŒazure-storage-file”h#Œ2.1.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-azure-storage-file-2.1.0-pyhd8ed1ab_1.tar.bz2”h+Œ a24294735c441c50a339255313aca8ab”h.Œ[https://conda.anaconda.org/conda-forge/noarch/azure-storage-file-2.1.0-pyhd8ed1ab_1.tar.bz2”h0Œ@7581ee58c89a86a0862e5902407fbc178429e4f636a47134182541a91cf76808”h2NhNh3Œazure-common >=1.1.5”Œazure-storage-common >=2.1,<3.0”Œpython >=3.3”‡”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ‚·‘xÕhEM»…hFˆubh)”}”(hŒr-fuzzyjoin”h#Œ0.1.6”h%Œr40ha770c72_0”h'K hhh(h)hŒ'r-fuzzyjoin-0.1.6-r40ha770c72_0.tar.bz2”h+Œ f3ce81391f49404a198c45c55a16d052”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-fuzzyjoin-0.1.6-r40ha770c72_0.tar.bz2”h0Œ@154f48d4606c274ad00b6c8402e9d5f77994f713294053bbb6ef825217a64d36”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œr-geosphere”Œr-purrr”Œr-stringdist”Œ	r-stringr”Œr-tidyr >=0.4.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ >0å`hEJx  hFˆubh)”}”(hŒdjango-jinja”h#Œ2.10.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(django-jinja-2.10.2-pyhd8ed1ab_0.tar.bz2”h+Œ 886ba037a76f5d28001c483978b798d7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/django-jinja-2.10.2-pyhd8ed1ab_0.tar.bz2”h0Œ@4314d975795cb7598b28e27daa6c27966b3f41d4952421198cd3dca99611368f”h2NhNh3Œdjango >=1.11,<3.0”Œ
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r-xaringan”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,¼ëC–hEJä¤ hFˆubh)”}”(hŒgeokit”h#Œ1.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!geokit-1.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ d59d5e7681c968c6df7b44e7c5b135fd”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/geokit-1.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d4416cfec0ca1c41c61f5ece9c51495d2a695d93a11f6b991b77c241cc6b4a48”h2NhNh3(Œautopep8”Œ	descartes”Œ,gdal >=2.4.0,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*”Œjupyter”Œ
jupyterlab”Œ
matplotlib”Œnotebook”Œnumpy”Œpandas”Œpip”Œpylint”Œpytest”Œ
pytest-cov”Œpython >=3.0”Œscikit-learn”Œscipy”Œsmopy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØšP-ýOßhEJøþ‡hFˆubh)”}”(hŒr-maldiquantforeign”h#Œ0.13”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ.r-maldiquantforeign-0.13-r41hc72bb7e_0.tar.bz2”h+Œ 8804ab90859ee817f22b8caaa30c387c”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-maldiquantforeign-0.13-r41hc72bb7e_0.tar.bz2”h0Œ@65c33f0a91a0445ccb74f2a1bedb262a8b144b45c9d0e32680b72f3ab6aa54d0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œr-digest”Œr-maldiquant >=1.16.4”Œr-readbrukerflexdata >=1.7”Œr-readmzxmldata >=2.7”Œr-xml”t”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØu‰*¸hEJ»Î hFˆubh)”}”(hŒr-startupmsg”h#Œ0.9.6”h%Œr36h6115d3f_2”h'Khhh(h)hŒ(r-startupmsg-0.9.6-r36h6115d3f_2.tar.bz2”h+Œ 28546dde6e6f1a8116189507483ae38a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-startupmsg-0.9.6-r36h6115d3f_2.tar.bz2”h0Œ@dcb1377b908862c649ad0e44ae759223f7402f9ae7b70706c2ec3c6c8778a9c3”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGA×«ðF5ó¶hEMAÀhFˆubh)”}”(hŒr-concaveman”h#Œ1.1.0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ(r-concaveman-1.1.0-r40h6115d3f_0.tar.bz2”h+Œ 4c6fbc28e2d786eda905e57155782609”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-concaveman-1.1.0-r40h6115d3f_0.tar.bz2”h0Œ@a2406f243e404a5bcd1a8c4c572b27bd26c1e745892e6f91e614f18151ebd963”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ
r-jsonlite”Œ
r-magrittr”Œr-sf”Œr-v8”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×®MÔzáhEJQß hFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œh1795305_101”h'Kehhh(h)hŒ2libxxf86vm-cos7-ppc64le-1.1.4-h1795305_101.tar.bz2”h+Œ 1ce2d2d3359d60e6c28c564ad9841416”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-h1795305_101.tar.bz2”h0Œ@c883242268b8d1cb120691f4f4a950a08d5511cac104644dd967481c67a51914”h2NhNh3Œ libx11-cos7-ppc64le >=1.5.99.902”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&';dhEMÐ9hFˆubh)”}”(hŒperl-carp-assert”h#Œ0.21”h%Œpl5321hd8ed1ab_1”h'Khhh(h)hŒ.perl-carp-assert-0.21-pl5321hd8ed1ab_1.tar.bz2”h+Œ fd262c804d6e5daea9dbe50015298cd8”h.Œ\https://conda.anaconda.org/conda-forge/noarch/perl-carp-assert-0.21-pl5321hd8ed1ab_1.tar.bz2”h0Œ@cf72a8df559d5d53f2a17992324c3eb36a54168963598ef2a5a5209a628e4c67”h2NhNh3Œperl >=5.32.1,<5.32.2.0a0”Œ!perl >=5.32.1,<5.32.2.0a0 *_perl5”†”h9hºh@Œ%GPL-1.0-or-later OR Artistic-1.0-Perl”hDGAØ\dšOßhEM§LhFˆubh)”}”(hŒ	r-stapler”h#Œ0.7.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ%r-stapler-0.7.1-r40h6115d3f_1.tar.bz2”h+Œ fc9d508017eb526833762a856a4ca015”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stapler-0.7.1-r40h6115d3f_1.tar.bz2”h0Œ@a61c192c539dd682233552057fdd8a82be42f9ec2165f51c1bf08a2aea6bd33a”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrixstats”Œr-rnifti”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬7üu`BhEJ…í hFˆubh)”}”(hŒr-neuralnet”h#Œ1.44.2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ(r-neuralnet-1.44.2-r36h6115d3f_2.tar.bz2”h+Œ e2c2305f0f78a9347e5835fe12237859”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-neuralnet-1.44.2-r36h6115d3f_2.tar.bz2”h0Œ@816f0a7f260979ec0d96c575eb383c9a8912e326379ca1830dcf3148bb9fb69d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-deriv”Œr-mass”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬ŸøÔþhEJÜ hFˆubh)”}”(hŒ
quart-trio”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%quart-trio-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9bd9fc9a179f112714f2222f5f9bb385”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/quart-trio-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e34bca9f36dca8da87fd68adf6e40e3679b761127e7feec0ad542f75e947ec62”h2NhNh3(Œhypercorn >=0.6.0”Œpython >=3.7.0”Œquart >=0.11.1”Œtrio >=0.10.0”t”h9h?h@ŒMIT”hBŒMIT”hDGA×óCˆ¨r°hEMé8hFˆubh)”}”(hŒ
r-sigclust”h#Œ1.1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-sigclust-1.1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ eda28d8d978846ccdccdada01a98ba7b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sigclust-1.1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@e71632276b262590189064c681649edace27a1f8a7642b7490b632fb69b143bc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ%×l‹hEM÷hFˆubh)”}”(hŒcfgv”h#Œ3.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcfgv-3.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ ebb5f5f7dc4f1a3780ef7ea7738db08c”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@fbc03537a27ef756162c49b1d0608bf7ab12fa5e38ceb8563d6f4859e835ac5c”h2NhNh3Œpython >=3.6.1”…”h9h?h@ŒMIT”hBŒMIT”hDGAØIœkÙxÕhEM$*hFˆubh)”}”(hŒastcheck”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#astcheck-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ db1a4c5c72d60797e502df84829e4143”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/astcheck-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@1b8f6f6929431d805765297fbc63274374351a84f4d0444bcd4412d4bb9d0868”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ9akš~úhEM"hFˆubh)”}”(hŒr-broom.mixed”h#Œ0.2.9.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ+r-broom.mixed-0.2.9.4-r42hc72bb7e_1.tar.bz2”h+Œ bb1fabd4bc845de7aba463eb78d16075”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-broom.mixed-0.2.9.4-r42hc72bb7e_1.tar.bz2”h0Œ@aa1c9ee0cb1d5c00e356af6a2712a84ce76f0e34a8c40c62bbab53c4240428b5”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-coda”Œr-dplyr”Œ	r-forcats”Œr-furrr”Œr-nlme”Œr-purrr”Œ	r-stringr”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑí®hEJÉ@ hFˆubh)”}”(hŒr-catt”h#Œ2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ r-catt-2.0-r42hc72bb7e_1.tar.bz2”h+Œ ef2240130c4f4a270758865a3c6645c0”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-catt-2.0-r42hc72bb7e_1.tar.bz2”h0Œ@b9bb05cb8be7d89114c08e439ab6cc9f6bf3f590effc607a3453df6b5529d79c”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¾ELýôhEMÀphFˆubh)”}”(hŒopensm-cos7-ppc64le”h#Œ3.3.21”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0opensm-cos7-ppc64le-3.3.21-h9b0a68f_1105.tar.bz2”h+Œ 7f1e0d08baa8cf6042201120ead04912”h.Œ^https://conda.anaconda.org/conda-forge/noarch/opensm-cos7-ppc64le-3.3.21-h9b0a68f_1105.tar.bz2”h0Œ@4a50aaa4bb24d0af2db2661626a28a4577cdebf144855c153fd7190b2f978230”h2NhNh3Œ(opensm-libs-cos7-ppc64le ==3.3.21 *_1105”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØÛJUó×
hEJÍ	 hFˆubh)”}”(hŒr-pubmed.miner”h#Œ1.0.19”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-pubmed.miner-1.0.19-r41hc72bb7e_0.tar.bz2”h+Œ bd4e439647a965b7e5ad6460b6aa05a8”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-pubmed.miner-1.0.19-r41hc72bb7e_0.tar.bz2”h0Œ@12325ec73ff8112993f5bec95e6ee26ea60822398b07f3a64b3915e8a07f270a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-r2html”Œr-rcurl”Œ	r-rjsonio”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØh~ŠØÔþhEJ»‚ hFˆubh)”}”(hŒskweak”h#Œ0.3.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!skweak-0.3.3-pyhd8ed1ab_0.tar.bz2”h+Œ 9227a881378bd1f983cf283e1e4e8982”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/skweak-0.3.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c35188d4502338e08e6a03aa725c4e675dd34bf0c960235bee5f42ce21350fbc”h2NhNh3(Œhmmlearn >=0.2.5,<=0.2.7”Œnumpy >=1.18”Œpandas >=0.23”Œpython >=3.6”Œspacy >=3.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÍßI@ƒhEMªhFˆubh)”}”(hŒr-rdrop2”h#Œ0.8.2.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-rdrop2-0.8.2.1-r40hc72bb7e_0.tar.bz2”h+Œ fc996dad9067ab7c50502992110a688b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rdrop2-0.8.2.1-r40hc72bb7e_0.tar.bz2”h0Œ@0c1fe38bcebd4a1867fd686988b2a8b8fb340c4e5ce3c5eab16773019756a34a”h2NhNh3(Œr-assertive”Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-dplyr”Œr-httr”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,`G®hEJQˆ hFˆubh)”}”(hŒr-apatables”h#Œ2.0.8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-apatables-2.0.8-r41hc72bb7e_0.tar.bz2”h+Œ 42e3556340fdca9911510b60b29d75d0”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-apatables-2.0.8-r41hc72bb7e_0.tar.bz2”h0Œ@aaaed55781a3c57c57226a6ab0d49d572bcf3231041043ada33a356336050ca8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-boot”Œr-broom”Œr-car”Œr-dplyr”Œr-mbess”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ,Vèk¶FhEJvî hFˆubh)”}”(hŒlibxxf86vm-cos6-x86_64”h#Œ1.1.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ2libxxf86vm-cos6-x86_64-1.1.3-h9d98e8f_1104.tar.bz2”h+Œ de47618658d4eeeb57d4ea6222b972a0”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos6-x86_64-1.1.3-h9d98e8f_1104.tar.bz2”h0Œ@0a8de2ca51ec976e7b15e4ad52c11a5db5047ea7761c44528919b7ea2dadd7e6”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~RÊ¬hEMI4hFˆubh)”}”(hŒcons”h#Œ0.4.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒcons-0.4.5-pyhd8ed1ab_0.tar.bz2”h+Œ 5a968f48d7b67deb1567042ab0db0db1”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cons-0.4.5-pyhd8ed1ab_0.tar.bz2”h0Œ@a6a3303d823fb3183ae9868e9d160cd5d8977c74b32e5397fdf76942497fa1e9”h2NhNh3Œlogical-unification >=0.4.1”Œpython >=3.6”†”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØz7[7ïžhEM‹2hFˆubh)”}”(hŒflaky”h#Œ3.7.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ flaky-3.7.0-pyh9f0ad1d_0.tar.bz2”h+Œ d20be9ed08052d16593c88d51b774a82”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/flaky-3.7.0-pyh9f0ad1d_0.tar.bz2”h0Œ@fbb02837c933c4aab24e60aaa9cc7ed164f7771845fa810ccba37d4cf390d258”h2NhNh3Œpython”…”h9h?h@Œ
Apache 2.0”hBŒApache”hDGA×ÁÑ$îvÉhEMzThFˆubh)”}”(hŒr-plsgenomics”h#Œ1.5_2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-plsgenomics-1.5_2-r42hc72bb7e_2.tar.bz2”h+Œ 53d136b2635b20ca090ce045cf8a6d3f”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-plsgenomics-1.5_2-r42hc72bb7e_2.tar.bz2”h0Œ@9c4452404caaeff27faf0a577b6c5cc23e6d2d46d4a2aac89e9c448133103a6e”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-boot”Œr-fields”Œr-mass”Œr-plyr”Œ
r-reshape2”Œr-rhpcblasctl”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ6Œ‘%hEJ¥Í hFˆubh)”}”(hŒdagster_twilio”h#Œ0.6.5”h%Œpy_0”h'K hhh(h)hŒ!dagster_twilio-0.6.5-py_0.tar.bz2”h+Œ 1faf4221c092a1d6cf81eeff96b89de3”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/dagster_twilio-0.6.5-py_0.tar.bz2”h0Œ@081b94b8e8cc9e60af43305807274aee299528351245445c079395c9174858a1”h2NhNh3Œdagster 0.6.5.*”Œpython”Œtwilio”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×x9æ¡G®hEM0+hFˆubh)”}”(hŒr-dmwr”h#Œ0.4.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ%r-dmwr-0.4.1-r36h6115d3f_1002.tar.bz2”h+Œ 8393985383b59e2a6a64bfcb15996046”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dmwr-0.4.1-r36h6115d3f_1002.tar.bz2”h0Œ@bb6aa8c7206ebd21743618b705652f7d7146bf20c0d7843a39e38cfe7ae52c5a”h2NhNh3(Œr-abind >=1.1_0”Œr-base >=3.6,<3.7.0a0”Œr-class >=7.3_1”Œr-lattice >=0.18_3”Œr-quantmod >=0.3_8”Œr-rocr >=1.0”Œr-rpart >=3.1_46”Œr-xts >=0.6_7”Œr-zoo >=1.6_4”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×MÞ8ÔþhEJ=2 hFˆubh)”}”(hŒmicromagneticdata”h#Œ0.65.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ-micromagneticdata-0.65.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1ea0d21128dc36640ca9692a62d56da0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/micromagneticdata-0.65.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a369acfd20425b5a348b38c003a667c3204a7e43f102c34b3b9cc4f129342acb”h2NhNh3Œdiscretisedfield >=0.65.0”Œpython >=3.8”Œubermagtable >=0.61.1”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÔYÔVhEJeÊE hFˆubh)”}”(hŒkarawun”h#Œ0.2.5.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$karawun-0.2.5.4-pyhd8ed1ab_0.tar.bz2”h+Œ 6e6ce28b68cb68215238e3e1c6fe41f7”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/karawun-0.2.5.4-pyhd8ed1ab_0.tar.bz2”h0Œ@e6822218399235b8fc96d5a720fff77c8d52b12a5ee6f5312e6b72755148e017”h2NhNh3(Œnumpy >=1.13.0”Œpydicom 1.4.2”Œpython >=3.6,<=3.9”Œsimpleitk >=1.2.0,<=2.0.2”t”h9h?h@Œ
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GPL (>= 3)”hBŒGPL3”hDGA×LWnxQìhEMŠhFˆubh)”}”(hŒ+_current_repodata_hack_gcc_linux_aarch64_75”h#Œ0.0.1”h%j3G h'K hhh(h)hŒ;_current_repodata_hack_gcc_linux_aarch64_75-0.0.1-0.tar.bz2”h+Œ a02e93fbfdad3347b95e9ea4f64a2248”h.Œihttps://conda.anaconda.org/conda-forge/noarch/_current_repodata_hack_gcc_linux_aarch64_75-0.0.1-0.tar.bz2”h0Œ@ee0c2fbf22dd6353605d6f68df056d6b41ce02bd9adfc138545d4c6a4e95ce67”h2NhNh3Œgcc_linux-aarch64 7.5.*”…”h9hºh@ŒLicenseRef-OTHER”hDGA×ÖöýOßhEMchFˆubh)”}”(hŒ libglvnd-core-devel-cos7-aarch64”h#Œ1.0.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ;libglvnd-core-devel-cos7-aarch64-1.0.1-h9d98e8f_104.tar.bz2”h+Œ 2435fd60d3521380654a4c31857f4d20”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libglvnd-core-devel-cos7-aarch64-1.0.1-h9d98e8f_104.tar.bz2”h0Œ@06196f1f653ff7a786e948c6c0e24bcb761870b561a62bf4dba67a58f3aad6d7”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ59:àƒhEMþVhFˆubh)”}”(hŒ
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GPL (>= 3)”hBŒGPL3”hDGAØ*úmùÛhEMç§hFˆubh)”}”(hŒ
r-ipflasso”h#Œ1.1”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ$r-ipflasso-1.1-r42hc72bb7e_2.tar.bz2”h+Œ 1381ffa0f489b57d95db64d952256927”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipflasso-1.1-r42hc72bb7e_2.tar.bz2”h0Œ@971c50ca48f538fe990d31e36a8afac4a2af64acc0b68c47902404d919f5b1d5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-glmnet”Œ
r-survival”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒês´9hEJÏ hFˆubh)”}”(hŒexpat-devel-cos7-ppc64le”h#Œ2.1.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3expat-devel-cos7-ppc64le-2.1.0-h9d98e8f_104.tar.bz2”h+Œ 0c0f3504a261098d598ed840e4058d5f”h.Œahttps://conda.anaconda.org/conda-forge/noarch/expat-devel-cos7-ppc64le-2.1.0-h9d98e8f_104.tar.bz2”h0Œ@6a0ac4adf13871c2d8960d039c8b04cfe94f6de320f2b6222a366c34b0119b1c”h2NhNh3Œ expat-cos7-ppc64le ==2.1.0 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzÄŒ›¦hEMSÁhFˆubh)”}”(hŒcasttube”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#casttube-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0eba53787e6e9242dbf2f0dad7c9f090”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/casttube-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@5ccdcaa2582023dce3aa8e6b07628c99932bd90ae6ab2f29ebdeae1b190832f7”h2NhNh3Œpython >=3.6”Œrequests”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÕ‘U`BhEMñ'hFˆubh)”}”(hŒsphinx-prompt”h#Œ1.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(sphinx-prompt-1.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 88ee91e8679603f2a5bd036d52919cc2”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/sphinx-prompt-1.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3690b4b70322adc77f18c2b31545ddbbe69f1627de76ea9deace8c9809550bab”h2NhNh3Œpygments”Œpython >=3.0”Œsphinx”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ+Úï hEM hFˆubh)”}”(hŒdemjson”h#Œ2.2.4”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"demjson-2.2.4-pyh9f0ad1d_0.tar.bz2”h+Œ 93421123d20d86e54555a2eb8f3597f5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/demjson-2.2.4-pyh9f0ad1d_0.tar.bz2”h0Œ@2764e521eaf58241be76cb2902a622b022923fd6e2cecef059eded83efa0026a”h2NhNh3Œpython”…”h9h?h@ŒLGPL-3.0-or-later”hBŒGPL”hDGA××òGJ¬hEJè hFˆubh)”}”(hŒnss-util-cos6-x86_64”h#Œ3.36.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1nss-util-cos6-x86_64-3.36.0-h9b0a68f_1105.tar.bz2”h+Œ b28851affffd7293a5b8c5975c8e1717”h.Œ_https://conda.anaconda.org/conda-forge/noarch/nss-util-cos6-x86_64-3.36.0-h9b0a68f_1105.tar.bz2”h0Œ@2f766b43bf14c3cdcad2ff4624f933b7652a1a25f14f0a7aed72426f110f7b38”h2NhNh3Œ nspr-cos6-x86_64 >=4.19.0 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@YËžhEJ•F hFˆubh)”}”(hŒ	yaqd-edaq”h#Œ	2021.10.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(yaqd-edaq-2021.10.0-pyhd8ed1ab_0.tar.bz2”h+Œ 423410d036ae283361fb834652757d8a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/yaqd-edaq-2021.10.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9232dc1be69d29c0c503c954695cb974ce8222354629cf06df5493e6a1e95ad8”h2NhNh3(Œflit”Œpyserial”Œpython >=3.7”Œyaqd-core >=2020.05.1”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØXB
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r-combinat”Œr-dplyr”Œr-igraph”Œ
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Apache-2.0”hBŒAPACHE”hDGAØ­Èc
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r-magrittr”Œr-plyr”Œr-purrr”Œ
r-reshape2”Œr-rlang”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒqp¿|îhEJªÝ
 hFˆubh)”}”(hŒnspr-cos6-x86_64”h#Œ4.19.0”h%Œha826a6f_1103”h'MOhhh(h)hŒ-nspr-cos6-x86_64-4.19.0-ha826a6f_1103.tar.bz2”h+Œ 1525cb515c44bba3baf0ac1bdc66bfe0”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nspr-cos6-x86_64-4.19.0-ha826a6f_1103.tar.bz2”h0Œ@5ae229f200ae67a9757f59a584baeee54e69ec76e7384753232463f36b6054e3”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Æ0‹DhEJëù hFˆubh)”}”(hŒxcb-util-wm-cos6-x86_64”h#Œ0.4.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2xcb-util-wm-cos6-x86_64-0.4.1-h9b0a68f_105.tar.bz2”h+Œ ff2d668db68064993072cb9712bc670c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-cos6-x86_64-0.4.1-h9b0a68f_105.tar.bz2”h0Œ@42ef5b66de417c17f1f1c91d4790b1f73f09f52fa0b888f36b864256d6d0e489”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØu#q8£×hEM)fhFˆubh)”}”(hŒ
fenics-ufl”h#Œ2019.1.0”h%Œpyhd8ed1ab_12”h'Khhh(h)hŒ)fenics-ufl-2019.1.0-pyhd8ed1ab_12.tar.bz2”h+Œ 873ab1db20dc67a3bc64969938b1dbdb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2019.1.0-pyhd8ed1ab_12.tar.bz2”h0Œ@939f868c87da003704a3a77fcd91582c6b7a1a6b51a9b919ffcd92df2d94a6ef”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×çÄü(öhEJz£ hFˆubh)”}”(hŒr-lsd”h#Œ4.1_0”h%Œr40h6115d3f_0”h'K hhh(h)hŒ!r-lsd-4.1_0-r40h6115d3f_0.tar.bz2”h+Œ a43c075d3e3a545bbba35a37db33f776”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-lsd-4.1_0-r40h6115d3f_0.tar.bz2”h0Œ@845baef244fe73dea89c89e56fbafe914950513a660455ef304a459866ff0f3f”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only OR GPL-3.0-only”hBŒOTHER”hDGA×º{Œ7LhEJçÃ hFˆubh)”}”(hŒr-relimp”h#Œ1.0_5”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ'r-relimp-1.0_5-r36h6115d3f_1003.tar.bz2”h+Œ 58357f1a3281160c7043683ee8830685”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-relimp-1.0_5-r36h6115d3f_1003.tar.bz2”h0Œ@f850d2ba0015e169f6acfdfc605856b18009790390f0ea411e8b8a7640fb63f1”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«ÙÂÀƒhEJõq hFˆubh)”}”(hŒlibx11-devel-cos7-ppc64le”h#Œ1.6.7”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4libx11-devel-cos7-ppc64le-1.6.7-h9b0a68f_105.tar.bz2”h+Œ 8f606fc84fcb470e4d79c3bcadb2ddae”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-ppc64le-1.6.7-h9b0a68f_105.tar.bz2”h0Œ@db9400c76085a3ba6f40175ab54a1c944c36189b2976326f497e62922c59e3fe”h2NhNh3Œ!libx11-cos7-ppc64le ==1.6.7 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Œì‘XhEJÃl hFˆubh)”}”(hŒ
mne-faster”h#Œ1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#mne-faster-1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 8d258fa352ebf095bfd9b24903466bcc”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/mne-faster-1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d872679881752a18079aea947862b751356782c55c15ff8ada70a917322da563”h2NhNh3Œmne-base”Œnumpy”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ†š¸33hEM‰/hFˆubh)”}”(hŒscikit-optimize”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*scikit-optimize-0.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ a3dee126cb0e08c62260a77d9de8ce8d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/scikit-optimize-0.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@da35b13b90e5037075e16cfdc70df802837d4fab244617523f325bb0e41be7b8”h2NhNh3(Œjoblib”Œmatplotlib-base”Œnumpy”Œpyaml”Œpython >=3.6”Œscikit-learn >=0.19.1”Œscipy >=0.14.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ]D\IXhEJn& hFˆubh)”}”(hŒwordfreq”h#Œ3.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#wordfreq-3.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ accaabe3e79a45d226a5b7810f94a8c3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/wordfreq-3.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@4f36fa6526fefe0d9564ba0a1a2b97583e1719cc8ca4ec92ae934cd5ac9faade”h2NhNh3(Œ
ftfy >=6.1”Œlangcodes >=3.0”Œmsgpack-python >=1.0”Œmypy >=0.931,<0.932”Œpython >=3.7”Œregex >=2020.04.04”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÖ`©Í/hEJ%ßchFˆubh)”}”(hŒr-udapi”h#Œ0.1.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-udapi-0.1.3-r41hc72bb7e_0.tar.bz2”h+Œ f193a9ba0453fb7dd4110e398ba7d270”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-udapi-0.1.3-r41hc72bb7e_0.tar.bz2”h0Œ@11d6a7b464c79ab167a7d864e6cd5a6a4b7b9176473be1e0b21644d6428d3812”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-httr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ-¬ŒQìhEMSXhFˆubh)”}”(hŒ
r-rematch2”h#Œ2.1.2”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-rematch2-2.1.2-r35h6115d3f_0.tar.bz2”h+Œ 61835b5baa3237abe6f52171ea452848”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r35h6115d3f_0.tar.bz2”h0Œ@f803a8cf16686630460557e54ff8a106ec18c7610be1659f6af193677f800d3c”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-tibble”†”h9hºh@ŒMIT”hBŒMIT”hDGA×«F^{hEMuÏhFˆubh)”}”(hŒr-mlgt”h#Œ0.16”h%Œr40_1002”h'Mêhhh(h)hŒr-mlgt-0.16-r40_1002.tar.bz2”h+Œ c0500dde39d0cf0aea75cc259fcf0812”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-mlgt-0.16-r40_1002.tar.bz2”h0Œ@a3fdea81bca0a3fa78dbfaf0176aec4acf241c1fbcd75b9f6701d1eeb12187d8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-seqinr”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬©p+"ÑhEJˆ–	 hFˆubh)”}”(hŒ	r-rphylip”h#Œ0.1_23”h%Œr35_1002”h'Mêhhh(h)hŒ!r-rphylip-0.1_23-r35_1002.tar.bz2”h+Œ e05cad8c0e277a8fccef64e29a97eb3d”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rphylip-0.1_23-r35_1002.tar.bz2”h0Œ@a8bfaece330919dfe4384908a785d6ecd04a79ccc8582053af6a5cefe20441d8”h2NhNh3Œr-ape >=3.0_10”Œr-base >=3.5,<3.6.0a0”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L´NìzáhEJ(„ hFˆubh)”}”(hŒ
r-sinaplot”h#Œ1.1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-sinaplot-1.1.0-r35h6115d3f_0.tar.bz2”h+Œ a8fa680955e74b2785205b2547443f9f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sinaplot-1.1.0-r35h6115d3f_0.tar.bz2”h0Œ@1395a266db2dec3df5589b4e897122f2d2d5629080b90a359b1898bc09d42bf4”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-plyr >=1.8.4”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×[AŒŽéyhEJó hFˆubh)”}”(hŒwebdavclient3”h#Œ3.14.5”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)webdavclient3-3.14.5-pyhd8ed1ab_1.tar.bz2”h+Œ 2690877d7cc381c0796d1c27e83ded33”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/webdavclient3-3.14.5-pyhd8ed1ab_1.tar.bz2”h0Œ@41fb9c4e41a15cff13011a499fc4e17f52a742e7b86962192adf05d4c8770c91”h2NhNh3(Œlxml”Œpython >=3.5”Œpython-dateutil”Œrequests”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ½%©Û#hEMÊkhFˆubh)”}”(hŒczml3”h#Œ0.7.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ czml3-0.7.0-pyhd8ed1ab_0.tar.bz2”h+Œ 365d10b494d1b4a2d377426692960a13”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/czml3-0.7.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d40a1df21305e97430819b6ba98f941a8f22e302eec84db6e41aa60f943ef0a9”h2NhNh3(Œattrs >=19.2”Œpython >=3.6”Œpython-dateutil >=2.7,<3”Œw3lib”t”h9h?h@ŒMIT”hBŒMIT”hDGAØna±áHhEMshFˆubh)”}”(hŒjupyterlab_autoversion”h#Œ0.3.6”h%Œpyh76afe40_0”h'K hhh(h)hŒ1jupyterlab_autoversion-0.3.6-pyh76afe40_0.tar.bz2”h+Œ 4083837627ba759e9240bf899404205e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/jupyterlab_autoversion-0.3.6-pyh76afe40_0.tar.bz2”h0Œ@e702421161ab13cc74a768bef76cf97cfe767458555ca4b697f01503445df0e7”h2NhNh3(Œgitpython >=2.1.11”Œjupyterlab >=3.0.0”Œnotebook”Œpython >=3.7”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ•iZhEMähFˆubh)”}”(hŒartview”h#Œ1.3.7”h%Œpy_3”h'Khhh(h)hŒartview-1.3.7-py_3.tar.bz2”h+Œ 1afd9002c96982a5a3615f34bf01b34f”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/artview-1.3.7-py_3.tar.bz2”h0Œ@cd7090fb7c57ad56507fc97cf825f5f04b284b3883a1eb8e760d02f94448d232”h2NhNh3(Œarm_pyart >=1.6”Œmatplotlib-base >=1.1,<3”Œ
pyqt >=4.6”Œpyqt >=5.12.3,<5.13.0a0”Œpython”t”h9h?h@ŒBSD 3-Clause”hDGA×‘ßÂhEJ¢W hFˆubh)”}”(hŒr-snakecase”h#Œ0.11.0”h%Œr40hc72bb7e_2”h'Khhh(h)hŒ(r-snakecase-0.11.0-r40hc72bb7e_2.tar.bz2”h+Œ 8876e58aa4b8e960af337c63b0947cf4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-snakecase-0.11.0-r40hc72bb7e_2.tar.bz2”h0Œ@d2db28ba7c405ee0c93c23867ce8f7783f48616dd68b26c8db5fbc3abffeb8df”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-stringi”Œ	r-stringr”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*ì8ï®hEJAÁ hFˆubh)”}”(hŒr-geem”h#Œ0.10.1”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ&r-geem-0.10.1-r41hc72bb7e_1002.tar.bz2”h+Œ 694a5d212da34829504b7a44fa7944d7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-geem-0.10.1-r41hc72bb7e_1002.tar.bz2”h0Œ@2854f206de0cd1d87894945101538d38c4efe3e1f9b1d5ebb2e513e02344d96e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-matrix”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ*ö|záhEJ„ hFˆubh)”}”(hŒxitorch”h#Œ0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ xitorch-0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 1c8f2fa21d915c52348fd89e7aacc6d9”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/xitorch-0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@05389910f87715b984f58147aa624d44401751f335229ad176023766e4b42afb”h2NhNh3(Œnumpy >=1.8.2”Œpython >=3.7”Œpytorch”Œscipy >=1.1.0”t”h9h?h@ŒBSD-3-Clause AND MIT”hDGAØÁ£ð hEJƒ] hFˆubh)”}”(hŒunifhy”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!unifhy-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 5e08b7e71c200eae9dd3a9f91ca6b461”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/unifhy-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@dd333cd471a3ff816dce593d613f1b0558678e1e7d49ca807d0d7f2348d89c87”h2NhNh3(Œcf-python >=3.11.0”Œcftime”Œcfunits”Œesmpy”Œnetcdf4 >=1.5”Œnumpy >=1.16”Œpyproj >=3.0”Œpython >=3.7”Œpyyaml >=5.3”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ—B8ÑÊÁhEMóhFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-ppc64le”h#Œ2018.4”h%Œhdf0574f_102”h'Kfhhh(h)hŒ=xorg-x11-proto-devel-cos7-ppc64le-2018.4-hdf0574f_102.tar.bz2”h+Œ 6f0b4de01c6d85f88c1e745b46eec092”h.Œkhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-ppc64le-2018.4-hdf0574f_102.tar.bz2”h0Œ@db8f636b86878a405b0c17cfba8e57cbbf711df0fc395ea9958b26cce4646ff4”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;€üÝ/hEJ–ƒ hFˆubh)”}”(hŒr-momr”h#Œ1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ r-momr-1.1-r36h6115d3f_0.tar.bz2”h+Œ 0906a4130606a7b58ca8f31aa9365aba”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-momr-1.1-r36h6115d3f_0.tar.bz2”h0Œ@b9754d3a4074ce099afc22f7134f395f3550e401464bf1c1c635e8bf17481563”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-gplots”Œr-hmisc”Œ	r-nortest”t”h9hºh@ŒArtistic-2.0 (Restricts use)”hBŒOTHER”hDGA×dÑ¹®E¢hEJne hFˆubh)”}”(hŒ
bert_score”h#Œ0.3.9”h%Œpyh44b312d_0”h'K hhh(h)hŒ%bert_score-0.3.9-pyh44b312d_0.tar.bz2”h+Œ 4eb4752b34d3833b4af915ad8be7f7ef”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/bert_score-0.3.9-pyh44b312d_0.tar.bz2”h0Œ@71e448df922d04d227158ad67edda0757e187dc703f812aec2c0ae2376cdf99b”h2NhNh3(Œdataclasses”Œmatplotlib-base”Œnumpy”Œpandas >=1.0.1”Œpython”Œpytorch >=1.0.0”Œrequests”Œtqdm >=4.31.1”Œtransformers”t”h9h?h@ŒMIT”hBŒMIT”hDGAØfçÙhshEM–¼hFˆubh)”}”(hŒlibsm-cos7-ppc64le”h#Œ1.2.2”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ.libsm-cos7-ppc64le-1.2.2-h9b0a68f_1105.tar.bz2”h+Œ 41b221cc9686aee8130cc0dccf4a4024”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsm-cos7-ppc64le-1.2.2-h9b0a68f_1105.tar.bz2”h0Œ@05f281c4565e4e9020ac49a4ebdd62f4867df4b9f89bdb44e928616701096c15”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ˆá÷ hEM”‘hFˆubh)”}”(hŒkronprod”h#Œ1.0.4”h%Œpy_0”h'K hhh(h)hŒkronprod-1.0.4-py_0.tar.bz2”h+Œ 41246e5aa372f264d212e768ae740227”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/kronprod-1.0.4-py_0.tar.bz2”h0Œ@56844e2768a98197136dae19efb83f8801b71b1f8ae4e163a55cf2978084ad47”h2NhNh3Œnumpy”Œpython >=3.4”Œscipy”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×)€ðA‰hEM»fhFˆubh)”}”(hŒ
r-sinaplot”h#Œ1.1.0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ&r-sinaplot-1.1.0-r40h6115d3f_1.tar.bz2”h+Œ 4bfb6ef76ec30578f9c76a6becc567b7”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sinaplot-1.1.0-r40h6115d3f_1.tar.bz2”h0Œ@f9ffaeb405078c82fc54f91350ddf78e6eb2edcbc14ff2780acba229f57b89ca”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-plyr >=1.8.4”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬:ûy©ühEJUz hFˆubh)”}”(hŒ
r-icluster”h#Œ2.1.0”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ)r-icluster-2.1.0-r40hc72bb7e_1003.tar.bz2”h+Œ 8eb51cf821698babd40942db40941203”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-icluster-2.1.0-r40hc72bb7e_1003.tar.bz2”h0Œ@e3def39e995104422159bec14795770e99f8fd59f6ce963ae2fbcefeb374d177”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-catools”Œr-gdata”Œr-gplots”Œr-gtools”Œ	r-lattice”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+#IÆ$ÝhEJª0& hFˆubh)”}”(hŒ	r-solrium”h#Œ1.2.0”h%Œr41h785f33e_1”h'Khhh(h)hŒ%r-solrium-1.2.0-r41h785f33e_1.tar.bz2”h+Œ e053eb80ea90aaeb30c79f5def814a36”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-solrium-1.2.0-r41h785f33e_1.tar.bz2”h0Œ@b9b2c6b34dde66acca1f9c28541e3cfe9a54c46413ea818178a0a2b2b3af5cc3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.4.0”Œr-dplyr >=0.5.0”Œr-jsonlite >=1.0”Œr-plyr >=1.8.4”Œr-r6”Œr-tibble >=1.4.2”Œr-xml2 >=1.0.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÕ2¦ùÛhEJ’q hFˆubh)”}”(hŒflask-babel”h#Œ2.0.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&flask-babel-2.0.0-pyh9f0ad1d_0.tar.bz2”h+Œ c6a2186ba633de0a6bec774210f1bf38”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/flask-babel-2.0.0-pyh9f0ad1d_0.tar.bz2”h0Œ@ba1380e5ecbe1078137d99a1e2511a7668d8fe9034e5f53e0d78e320a6ea78c0”h2NhNh3(Œbabel >=2.3”Œflask”Œjinja2 >=2.5”Œpython”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×Ò@ãƒC–hEM½1hFˆubh)”}”(hŒpdielec”h#Œ7.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"pdielec-7.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8a372b80db76b699a65d1d9b58e1217e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/pdielec-7.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@774ee7889ce4ace1931d34c39b05520286ec6dfe31e9405ef5b8f91c24d96e22”h2NhNh3(Œbeautifulsoup4”Œbleach”Œdill”Œdocutils”Œffmpeg”Œimageio”Œimageio-ffmpeg”Œmatplotlib-base”Œnumpy”Œopenpyxl”Œpsutil”Œpygments”Œpyopengl”Œpyqt”Œpython >=3.6”Œpyyaml”Œrequests”Œscikit-learn”Œscipy”Œ	termcolor”Œ
xlsxwriter”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¿®µ¡ËhEJ	Ù hFˆubh)”}”(hŒcentos-release-cos7-ppc64le”h#jÎS h%Œh9d98e8f_1104”h'MPhhh(h)hŒ3centos-release-cos7-ppc64le-7-h9d98e8f_1104.tar.bz2”h+Œ 0f5c6a904eb0c446d6bbf8e2628d6377”h.Œahttps://conda.anaconda.org/conda-forge/noarch/centos-release-cos7-ppc64le-7-h9d98e8f_1104.tar.bz2”h0Œ@1377a6e5a05fbed7024c486f5f14b197ad1b8d40ce89160980d84c03d4d7b57d”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×Ø™Ll‹hEM¤chFˆubh)”}”(hŒgnupg-py”h#Œ2.3.1”h%Œpy_0”h'K hhh(h)hŒgnupg-py-2.3.1-py_0.tar.bz2”h+Œ d87a6fec8574b00355298bc03696f61b”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/gnupg-py-2.3.1-py_0.tar.bz2”h0Œ@58ba68ad8086f0f6bbe27e745ee23b2e448c4208daa7346589bd1248721b5c4f”h2NhNh3Œpsutil >=1.2.1”Œpython”†”h9h?h@ŒGPL-3”hBŒGPL”hDGAÖ¼„âïl‹hEJò hFˆubh)”}”(hŒpymt”h#Œ1.0.0”h%Œpy_0”h'K hhh(h)hŒpymt-1.0.0-py_0.tar.bz2”h+Œ 23d003bf51e2940142cc688f436c8641”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/pymt-1.0.0-py_0.tar.bz2”h0Œ@a0735cb86ec55a9929c55e715aec96645e806286cd97e0514eb74e4ad72f37d1”h2NhNh3(Œcfunits”Œ
deprecated”Œjinja2”Œlandlab”Œ
matplotlib”Œmodel_metadata”Œnetcdf4”Œnumpy”Œ
python >=3”Œpyyaml”Œscipy”Œ	scripting”Œshapely”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Ï]H“uhEM'ïhFˆubh)”}”(hŒnbcelltests”h#Œ0.2.3”h%Œpy_0”h'K hhh(h)hŒnbcelltests-0.2.3-py_0.tar.bz2”h+Œ eb56edb20e0cb4aaabc274ef729f6379”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/nbcelltests-0.2.3-py_0.tar.bz2”h0Œ@5170896358eb82a0ffa03931d6ea535ca9f4964d20fb2725704db132e10de757”h2NhNh3(Œflake8”Œjupyterlab >=1.0.0”Œ	nbconvert”Œnbval >=0.9.1”Œparameterized”Œpytest >=4.4.0”Œ
pytest-cov”Œpytest-html >=1.20.0”Œpython >=3.6”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGA×ÞÜeÔÌÍhEM±ÂhFˆubh)”}”(hŒr-dtt”h#Œ0.1_2”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ$r-dtt-0.1_2-r41hc72bb7e_1004.tar.bz2”h+Œ 384f3575c5d474b89242dee4b58cbd52”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dtt-0.1_2-r41hc72bb7e_1004.tar.bz2”h0Œ@5355d236183a8219efc9d46e47834b3d837c88dbfd851c1ed14db4986b285e3d”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÐÔÃî{hEMi•hFˆubh)”}”(hŒ
taxidtools”h#Œ2.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%taxidtools-2.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 21eae1413d74a7d2e3fd8b57028d7314”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/taxidtools-2.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@303215ecb4b0c69b97530b423c7ad24875029013950625bba1dac536e3351716”h2NhNh3Œpython >=3.9”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØdðÔz-hEMÔ<hFˆubh)”}”(hŒnspr-cos6-x86_64”h#Œ4.19.0”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ-nspr-cos6-x86_64-4.19.0-h9b0a68f_1105.tar.bz2”h+Œ 6802ee1d4681e27105cf8ea972b74383”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nspr-cos6-x86_64-4.19.0-h9b0a68f_1105.tar.bz2”h0Œ@565b38aff9a7910712ecec86e23e92f8323fcef05a049bf2edf7e30f91643345”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGAØ@X]ÖvÉhEJìú hFˆubh)”}”(hŒglib2-cos7-aarch64”h#Œ2.56.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ.glib2-cos7-aarch64-2.56.1-h9d98e8f_104.tar.bz2”h+Œ ed7a269eac3021e1e1461c105ea9e46b”h.Œ\https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-aarch64-2.56.1-h9d98e8f_104.tar.bz2”h0Œ@ab336f1b2226f43162af1a48b4c563c47e2e0db64d7d17db210c537b3b31c0af”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉxÞ‡hEJXß- hFˆube(h)”}”(hŒr-gwidgets2”h#Œ1.0_9”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-gwidgets2-1.0_9-r41hc72bb7e_1.tar.bz2”h+Œ 68f6aa1c92bc802482670297b043a5fb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-gwidgets2-1.0_9-r41hc72bb7e_1.tar.bz2”h0Œ@65c2a78f967e4fe34d6ddd1abbf7b57b7cd82a0159768cc8c2381cff960f19fd”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-digest”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐþchEJ—Â hFˆubh)”}”(hŒhuggingface_hub”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*huggingface_hub-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 9915f777e2c2a84ee53f263c5fb09dc1”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/huggingface_hub-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f6de2e5262f737e90c1f585b556454a990b526d09637a1521abbe44fd47f9c40”h2NhNh3(Œfilelock”Œimportlib_metadata”Œpackaging >=20.9”Œpython >=3.6.0”Œpyyaml”Œrequests”Œtqdm”Œtyping-extensions >=3.7.4.3”t”h9h?h@Œ
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r-shinyace”Œ	r-shinybs”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØsZÉ¸RhEJŸÇ hFˆubh)”}”(hŒr-conflr”h#Œ0.1.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ$r-conflr-0.1.1-r40hc72bb7e_1.tar.bz2”h+Œ 1fdb7e6faa6e1ec5869937493d1ca804”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-conflr-0.1.1-r40hc72bb7e_1.tar.bz2”h0Œ@7620b22bd6876fa940e1172c98afdbb564553680c13c29a02ae26e482af4a3b4”h2NhNh3(Œ	r-askpass”Œr-base >=4.0,<4.1.0a0”Œr-commonmark”Œr-curl”Œr-glue”Œr-httr”Œr-knitr”Œr-miniui”Œr-purrr”Œr-r6”Œr-rlang”Œr-rmarkdown”Œr-rstudioapi”Œr-shiny”Œ	r-stringi”Œr-xml2”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ,Z^5hEJ††
 hFˆubh)”}”(hŒlibrdmacm-cos7-x86_64”h#Œ22.4”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ0librdmacm-cos7-x86_64-22.4-h9b0a68f_1105.tar.bz2”h+Œ 8262d1b095d0c33d52dd4c7a36bf5d3b”h.Œ^https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-x86_64-22.4-h9b0a68f_1105.tar.bz2”h0Œ@2e3995d05f80885ccf16f306f3fa59e8ffff362441b478f6dc60dcd3a875a9cb”h2NhNh3Œ$libibverbs-cos7-x86_64 ==22.4 *_1105”Œ#rdma-core-cos7-x86_64 ==22.4 *_1105”Œsysroot_linux-64 2.17.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@o˜$›¦hEJk hFˆubh)”}”(hŒpytfa”h#Œ0.9.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ pytfa-0.9.4-pyhd8ed1ab_1.tar.bz2”h+Œ a085270f4d1c09e07aada57e1871b62c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/pytfa-0.9.4-pyhd8ed1ab_1.tar.bz2”h0Œ@2b1607d81d632433dcc41fa990349e3beb5038fad8efeba3f03c5ee8665b0957”h2NhNh3(Œbokeh >=0.12.1”Œcobra <=0.24.0”Œdepinfo <=1.6.0”Œequilibrator-api”Œequilibrator-cache”Œnetworkx”Œnumpy”Œoptlang”Œpandas”Œpython >=3.8”Œpython-libsbml”Œscipy”Œtqdm”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ®pfÜzáhEJ	 hFˆubh)”}”(hŒpytest-virtualenv”h#Œ1.7.0”h%Œpy_0”h'K hhh(h)hŒ$pytest-virtualenv-1.7.0-py_0.tar.bz2”h+Œ de8e5928464604ab5a07e2c241099870”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/pytest-virtualenv-1.7.0-py_0.tar.bz2”h0Œ@c548c8a54afe15900c797f135e4e398f6bd4f154f0f9d03e0f1a2b28952f164e”h2NhNh3(Œpytest”Œpytest-fixture-config”Œpytest-shutil”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×>˜Wä“hEM®-hFˆubh)”}”(hŒr-mi”h#Œ1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒr-mi-1.1-r41hc72bb7e_0.tar.bz2”h+Œ 49a2f63c0909a1df92fba8b27a536f73”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/r-mi-1.1-r41hc72bb7e_0.tar.bz2”h0Œ@3c00053dcf37c15a287228fc55cb70816b5dcca38d81601115268eb96a1aff68”h2NhNh3Œr-arm >=1.4_11”Œr-base >=4.1,<4.2.0a0”Œr-matrix”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ§¯¦üZhEJë, hFˆubh)”}”(hŒpyfiglet”h#Œ	0.8.post1”h%Œpy_0”h'K hhh(h)hŒpyfiglet-0.8.post1-py_0.tar.bz2”h+Œ e22d3c090f24856764e9d70e76fa3a5f”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyfiglet-0.8.post1-py_0.tar.bz2”h0Œ@8a2d204cc157be1d50738aa96b17ab20654b33cee36d46855193a6653bc3377a”h2NhNh3Œpython”Œ
setuptools”†”h9h?h@ŒGPL2”hBŒGPL2”hDGA×7á å`hEJÅ	 hFˆubh)”}”(hŒlibdrm-cos7-aarch64”h#Œ2.4.97”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libdrm-cos7-aarch64-2.4.97-h9d98e8f_1104.tar.bz2”h+Œ 707ceb33b4bc028140c6e3c202a3f007”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libdrm-cos7-aarch64-2.4.97-h9d98e8f_1104.tar.bz2”h0Œ@05db86c5f26c616332578e5ccccd0f78169fddeb04904de6098f617ab4f23c2f”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{dPQìhEJ« hFˆubh)”}”(hŒr-r2d3”h#Œ0.2.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-r2d3-0.2.6-r40hc72bb7e_0.tar.bz2”h+Œ d5405baf871b372a8316d364a7939ecc”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-r2d3-0.2.6-r40hc72bb7e_0.tar.bz2”h0Œ@02aea27559e48d677caca4edcbb331cf10d8e883dac9128dd975148609e010cc”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-htmltools”Œr-htmlwidgets >=1.2”Œ
r-jsonlite”Œr-rstudioapi”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØ‡Q©ß;hEJÙG hFˆubh)”}”(hŒ
r-purbayes”h#Œ1.3”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ'r-purbayes-1.3-r42hc72bb7e_1003.tar.bz2”h+Œ cbb4c95386d1a54f883f0aed883e1b73”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-purbayes-1.3-r42hc72bb7e_1003.tar.bz2”h0Œ@226910bbf9518c1c7d9457041476aa77711b764ddc7271698f5089985aff38eb”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rjags”†”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ0amp¤hEM±hFˆubh)”}”(hŒbeartype”h#Œ0.9.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#beartype-0.9.1-pyhd8ed1ab_0.tar.bz2”h+Œ 74f83ceaeb9e6866ef09ee68ce0e907f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/beartype-0.9.1-pyhd8ed1ab_0.tar.bz2”h0Œ@e7f5c8d679bc1b81de98acd46853664fc95e1c6c6afd0fc1da8f35bd2ca9a2f6”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØaš¿záhEJtÓ hFˆubh)”}”(hŒantlr4-python3-runtime”h#Œ4.11.1”h%Œpyh1a96a4e_0”h'K hhh(h)hŒ2antlr4-python3-runtime-4.11.1-pyh1a96a4e_0.tar.bz2”h+Œ 557482c214d0e6194a427711d41980b0”h.Œ`https://conda.anaconda.org/conda-forge/noarch/antlr4-python3-runtime-4.11.1-pyh1a96a4e_0.tar.bz2”h0Œ@91758f2b5264015047d80c8fef85925301c9cc8eaa745ab9cd44569fa4f754c0”h2NhNh3Œantlr-python-runtime 4.11.1.*”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÅÚj~úhEMŸhFˆubh)”}”(hŒf90nml”h#Œ1.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!f90nml-1.4.3-pyhd8ed1ab_0.tar.bz2”h+Œ 0d455a0a087984e7b01028b1ab05777a”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/f90nml-1.4.3-pyhd8ed1ab_0.tar.bz2”h0Œ@d494e39e6a1c635fc2428a02636402d9fdc0802db9de70635ba231e75464d1c2”h2NhNh3Œpython >=2.7”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ³þXŸl‹hEMQ|hFˆubh)”}”(hŒgwyfile”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒgwyfile-0.2.0-py_0.tar.bz2”h+Œ ae4e4604b2db10a561c8a40ccdf703bb”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/gwyfile-0.2.0-py_0.tar.bz2”h0Œ@5df17610b4d8a4b8c28cd276d2b8e73054c9b4802c2d8225245257c4dcf0256f”h2NhNh3Œnumpy”Œpython”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAÖÛ&÷á©ühEM¹$hFˆubh)”}”(hŒ	pygeohash”h#Œ1.2.0”h%Œpy_0”h'K hhh(h)hŒpygeohash-1.2.0-py_0.tar.bz2”h+Œ 9d32a88d9b32c2cb41795e475ad8a741”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pygeohash-1.2.0-py_0.tar.bz2”h0Œ@671322081658e9e9f26b442f49f57bae137dd3679c70890e9dbec8d12b0b244e”h2NhNh3Œpython”…”h9h?h@ŒAGPL-3.0”hBŒAGPL”hDGA×>¢Çct¼hEM!hFˆubh)”}”(hŒr-rangemodelmetadata”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ0r-rangemodelmetadata-0.1.4-r41hc72bb7e_0.tar.bz2”h+Œ adadee5544d373f45953be05efa99afd”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-rangemodelmetadata-0.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@4d504dd8de24d1a39b452a188543cd309a7960761679f8f476d200c4ed564c60”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-jsonlite”Œr-mass”Œr-raster”Œr-rgbif”Œr-rgdal”Œr-rgeos”Œr-shiny”Œr-sp”Œ
r-spatstat”Œr-spocc”Œr-spthin”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ1Jyó×
hEJF hFˆubh)”}”(hŒr-uroot”h#Œ2.1_2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-uroot-2.1_2-r40hc72bb7e_0.tar.bz2”h+Œ 9bd89289403c1b761ee54a6e1a8c4b91”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-uroot-2.1_2-r40hc72bb7e_0.tar.bz2”h0Œ@63678402cc52968e069561f65e89229b941c641789576b3b7b4f1a399215f631”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+’°1'hEJÂ hFˆubh)”}”(hŒfontconfig-devel-cos7-ppc64le”h#Œ2.13.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ:fontconfig-devel-cos7-ppc64le-2.13.0-hdf0574f_1102.tar.bz2”h+Œ 3248b0bd8868b58b57ad829e961e9d95”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/fontconfig-devel-cos7-ppc64le-2.13.0-hdf0574f_1102.tar.bz2”h0Œ@4325f8c8598c6815dba2c8c9d3423ed19e49cc42a8840dbdd998669aabb9f51f”h2NhNh3Œ(freetype-devel-cos7-ppc64le >=2.8 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT and Public Domain and UCD”hBŒMIT”hDGA×Åj¯¾whEJ*Œ hFˆubh)”}”(hŒfpm-metadata”h#Œ0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'fpm-metadata-0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 240a58493499cbb4714c9a42b1652d28”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/fpm-metadata-0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@fcb8440d8a994ea73876b6dae72c6130396665d0b479f016de59126c9d7824c4”h2NhNh3Œpydantic”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØÝzëbhEM?;hFˆubh)”}”(hŒgjf”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒgjf-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 305391813bde4792eab9054bfc4a4c20”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/gjf-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@e557edc656c7e3633d65e9ae8cd5125ae9ffddf0d2e1b51cc6484de35d8b4464”h2NhNh3(Œclick”Œgeojson”Œgeojson-rewind”Œpython >=3.6”Œshapely >=1.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØd©Li©ühEM'hFˆubh)”}”(hŒr-dictionar6”h#Œ0.1.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-dictionar6-0.1.3-r40hc72bb7e_0.tar.bz2”h+Œ ca4d3d2be37b87a7b54d87e1aba46ffb”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-dictionar6-0.1.3-r40hc72bb7e_0.tar.bz2”h0Œ@a53d6dfd804f9f7e07f0762be4cb871d0a7e36854ff0a2435d3ce6a63c8c5dbd”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-ooplah”Œr-r6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØOÈîìZhEJ}l hFˆubh)”}”(hŒr-anom”h#Œ0.5”h%Œr36_1001”h'Méhhh(h)hŒr-anom-0.5-r36_1001.tar.bz2”h+Œ ed90c294501adabf026135b9aaf0cc92”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/r-anom-0.5-r36_1001.tar.bz2”h0Œ@40bbb69aca1e1da62293f703af02dcbb6239ea584211cd503b6955d0b59fbfc2”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-mcpan”Œ
r-multcomp”Œ
r-nparcomp”Œ	r-simcomp”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×M-Ž·¾whEJ6 hFˆubh)”}”(hŒr-rebus”h#Œ0.1_3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-rebus-0.1_3-r41hc72bb7e_1003.tar.bz2”h+Œ d01b7b672c456437674641c19b9564b5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rebus-0.1_3-r41hc72bb7e_1003.tar.bz2”h0Œ@2f97eb5fa73da0de9c7fe8ddaef60b9d3e17d63c7c33c91828c09a05f6817e8a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-rebus.base >=0.0_3”Œr-rebus.datetimes”Œr-rebus.numbers”Œr-rebus.unicode >=0.0_2”t”h9hºh@Œ	Unlimited”hDGAØÒRé33hEJèÞ hFˆubh)”}”(hŒurl-into-images”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ*url-into-images-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 4fd144da62a3670f3669346cabec08b9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/url-into-images-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@a845a092a9cde9b19fe1c05e12ed618e5f0eb7295cc1cd7a3641594448636ea4”h2NhNh3Œpandas”Œpython 2.7|>=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÔXú=qhEMOhFˆubh)”}”(hŒ	r-survxai”h#Œ0.2.2”h%Œr40h6115d3f_0”h'K hhh(h)hŒ%r-survxai-0.2.2-r40h6115d3f_0.tar.bz2”h+Œ d84a4c3df991107a3f0b9ed555ca7767”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-survxai-0.2.2-r40h6115d3f_0.tar.bz2”h0Œ@9176cd3c8b8cb4af5240adf97544a31b291025ffbb7d1118b7c9ca59840d571c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-breakdown”Œ	r-ggplot2”Œr-pec”Œ	r-prodlim”Œr-scales”Œ
r-survival”Œr-survminer”t”h9hºh@ŒGPL”hBŒGPL”hDGA×Ò@’õÒòhEJ hFˆubh)”}”(hŒnose2”h#Œ0.9.2”h%Œpy_0”h'K hhh(h)hŒnose2-0.9.2-py_0.tar.bz2”h+Œ 6016c166523ee4955697bccbde8700bf”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/nose2-0.9.2-py_0.tar.bz2”h0Œ@55c048863e990d5359ae74f2e53b03d7412534f6bb1e89012bfbbec94204f724”h2NhNh3Œcoverage >=4.4.1”Œpython”Œ	six >=1.7”‡”h9h?h@ŒBSD”hBŒBSD”hDGA×™i33hEJ”j hFˆubh)”}”(hŒ	r-betareg”h#Œ3.1_4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-betareg-3.1_4-r40hc72bb7e_0.tar.bz2”h+Œ 7c3cc8be6788940850c77810485d0f37”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-betareg-3.1_4-r40hc72bb7e_0.tar.bz2”h0Œ@f6d53393f18f75e44d407894b63c0fae6f39485b8156b656fb39ba3d289b9688”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œ	r-flexmix”Œ	r-formula”Œr-lmtest”Œr-modeltools”Œ
r-sandwich”t”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGAØ½N5?hEJa hFˆubh)”}”(hŒtypes-werkzeug”h#Œ1.0.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)types-werkzeug-1.0.9-pyhd8ed1ab_0.tar.bz2”h+Œ fc3d25b3bf3b45e7adf96b8b3830923b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/types-werkzeug-1.0.9-pyhd8ed1ab_0.tar.bz2”h0Œ@7e4cf90e88e02ca9695672d3e2a853bc5b4c3af1a3af4fc890c86f6e0cf775ac”h2NhNh3Œpython >=3.6”…”h9h?h@ŒApache-2.0 AND MIT”hDGAØh*‰hshEMñ~hFˆubh)”}”(hŒpython-gist”h#Œ0.10.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'python-gist-0.10.6-pyhd8ed1ab_0.tar.bz2”h+Œ d166ece084acb7c59988847a02b1e498”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/python-gist-0.10.6-pyhd8ed1ab_0.tar.bz2”h0Œ@e19b74515085d60ae72508e84a3d6cbbd4128f47bf9e236a06b3941891fa9e63”h2NhNh3Œpython >=3.6,<4.0”Œpython-gnupg >=0.4.7,<0.5.0”Œrequests >=2.25.1,<3.0.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ.%‘—KÇhEM$GhFˆubh)”}”(hŒ
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Apache-2.0”hBŒAPACHE”hDGA×x;
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r-ic.infer”h#Œ1.1_6”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ)r-ic.infer-1.1_6-r40hc72bb7e_1002.tar.bz2”h+Œ 1c89d6cd2730c510664259c9f7824317”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ic.infer-1.1_6-r40hc72bb7e_1002.tar.bz2”h0Œ@fd8479a4214afac21b8be57da8e3a720128a1b22b406576d754ccf53eaaa7deb”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-boot”Œ
r-kappalab”Œ	r-mvtnorm”Œ
r-quadprog”t”h9hºh@Œ
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conflowgen”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%conflowgen-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ f55ee5cce076c62a4bd14db0674b7bf8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/conflowgen-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@376796f401fb672b3b9d93a2bc249202514df6ae7d333b8d9ea29785b4ffb6b1”h2NhNh3(Œenum_tools >=0.7”Œmatplotlib-base”Œnumpy”Œopenpyxl”Œ
pandas >=1”Œ
peewee >=3”Œplotly”Œpython >=3.8”Œpython-kaleido”Œseaborn”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÏJÇ hEJ`F hFˆubh)”}”(hŒr-tsibbledata”h#Œ0.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-tsibbledata-0.4.1-r41hc72bb7e_0.tar.bz2”h+Œ b6240945c853fd80f0f121ceed1b1419”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tsibbledata-0.4.1-r41hc72bb7e_0.tar.bz2”h0Œ@b1b10ca8bdb3c23009fbb7e43d3ca94aa5852966ff88d84a5d69615635f6a7c2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ
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Apache-2.0”hBŒAPACHE”hDGAØ+D¡[C–hEMÐHhFˆubh)”}”(hŒsetoptconf-tmp”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)setoptconf-tmp-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ af3e36d4effb85b9b9f93cd1db0963df”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/setoptconf-tmp-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@47c06e545e369a6c3e24bda3d0240086d88703e5362a636ae6ec7feece1069fd”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØwŠ½ãThEMC6hFˆubh)”}”(hŒpciutils-libs-cos6-x86_64”h#Œ3.1.10”h%Œha826a6f_1103”h'MOhhh(h)hŒ6pciutils-libs-cos6-x86_64-3.1.10-ha826a6f_1103.tar.bz2”h+Œ 1095350c88a014340208fa86df23af62”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/pciutils-libs-cos6-x86_64-3.1.10-ha826a6f_1103.tar.bz2”h0Œ@57500498b4681b696928f1f2217376a7eff513a8512466717a6e0267aaeec1f0”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Æ{áG®hEM†ˆhFˆubh)”}”(hŒr-scrt”h#Œ1.3.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ"r-scrt-1.3.1-r36h6115d3f_0.tar.bz2”h+Œ 16a4d8cefef778b7a1fb59f06799c541”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-scrt-1.3.1-r36h6115d3f_0.tar.bz2”h0Œ@1b5c2e729f536435e2aad87f32090903159cab5b3ff69cdfb6cee4ef075f56ce”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×…¶È8QìhEJóB hFˆubh)”}”(hŒr-wesanderson”h#Œ0.3.6”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ,r-wesanderson-0.3.6-r36h6115d3f_1003.tar.bz2”h+Œ 99ccdadf67ae2e37558c909d41d00a14”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-wesanderson-0.3.6-r36h6115d3f_1003.tar.bz2”h0Œ@1a75bac9aa9eca34d2331c92c64e5f2a881a4bc6e491671aa90212a78c3b72e9”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬J'ðA‰hEMµahFˆubh)”}”(hŒlibx11-common-cos6-x86_64”h#Œ1.6.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libx11-common-cos6-x86_64-1.6.4-ha826a6f_1103.tar.bz2”h+Œ 58fa3425a5d08758677c96450a1a5696”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos6-x86_64-1.6.4-ha826a6f_1103.tar.bz2”h0Œ@3a2c2a79c20ac43e767b7a8e39b455565a6b7af9a25a50cfc15164754ab8b1b6”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0k÷ÏhEJZ, hFˆubh)”}”(hŒkurl”h#Œ0.0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒkurl-0.0.6-pyhd8ed1ab_0.tar.bz2”h+Œ 39f4547c4c03014f5f7ecc4b2bbf93e6”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/kurl-0.0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@86ec4b8893399ede204f826cf3e64c4598befd996fcef9064d7cec9880cd9f40”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ­ÉÄ‹DhEM‰(hFˆubh)”}”(hŒpytest-localftpserver”h#Œ1.1.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0pytest-localftpserver-1.1.4-pyhd8ed1ab_0.tar.bz2”h+Œ b91175d867f1094ebafc31c5d68e5afd”h.Œ^https://conda.anaconda.org/conda-forge/noarch/pytest-localftpserver-1.1.4-pyhd8ed1ab_0.tar.bz2”h0Œ@9d1928a252bd9643fd59f252de064c9146036b43f8a6bc2b7b3f37ebdfdef9da”h2NhNh3(Œpyftpdlib >=1.2.0”Œ	pyopenssl”Œpytest”Œpython >=3.5”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÏ5%ö‡+hEMkahFˆubh)”}”(hŒrb-csl-styles”h#Œ1.0.1.9”h%Œ
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r-quadprog”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+'O¼ÌÍhEJTL hFˆubh)”}”(hŒ	rb-listen”h#Œ3.1.5”h%Œ
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>=3.7”Œscipy”t”h9h?h@ŒUnlicense AND CC0-1.0”hDGAØ~›Gwl‹hEJ©>	 hFˆubh)”}”(hŒ	r-mltools”h#Œ0.3.5”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-mltools-0.3.5-r40hc72bb7e_1.tar.bz2”h+Œ d1c246a2aea9650a73c9ecebb04cb3d2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-mltools-0.3.5-r40hc72bb7e_1.tar.bz2”h0Œ@b61988c47618f8fa54f74af04d32c9c78631eeba739e01cb468c361512b80d72”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-data.table >=1.9.7”Œr-matrix”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ+"‚Ã"ÑhEJ§Ï hFˆubh)”}”(hŒcairo-devel-cos7-ppc64le”h#Œ1.15.12”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5cairo-devel-cos7-ppc64le-1.15.12-h9d98e8f_104.tar.bz2”h+Œ 6e16df67b145663cd7a105edc2002d6f”h.Œchttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-ppc64le-1.15.12-h9d98e8f_104.tar.bz2”h0Œ@2828452b1bfb52366f7e6fd57af9cb48c6f5d84986fa81b198012710ad0ba150”h2NhNh3Œ"cairo-cos7-ppc64le ==1.15.12 *_104”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×É{%ƒÆ¨hEJNÀ hFˆubh)”}”(hŒdoct”h#Œ1.1.0”h%Œpy_0”h'K hhh(h)hŒdoct-1.1.0-py_0.tar.bz2”h+Œ 29407bcdaf7a1c00d1851336bd300eaa”h.ŒEhttps://conda.anaconda.org/conda-forge/noarch/doct-1.1.0-py_0.tar.bz2”h0Œ@602d1b399ab8ed57a3b12334f097fa11f2f4958ac5a29680261b51fe2a5aee60”h2NhNh3(Œhumanize”Œprettytable”Œpython”Œsix”t”h9h?h@ŒBSD 3-Clause”hDGA×Œ3{éÊÁhEMÊhFˆubh)”}”(hŒmesa-libegl-cos6-x86_64”h#Œ11.0.7”h%Œh9d98e8f_104”h'Khhhh(h)hŒ3mesa-libegl-cos6-x86_64-11.0.7-h9d98e8f_104.tar.bz2”h+Œ ad107e926905af0d2ea8a01bb2ba7c1d”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos6-x86_64-11.0.7-h9d98e8f_104.tar.bz2”h0Œ@6b1719a527537ff686ca331238477da28e87020919f12419469b167126a0c160”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉyÃr°hEMYóhFˆubh)”}”(hŒr-textshape”h#Œ1.7.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ'r-textshape-1.7.3-r40hc72bb7e_0.tar.bz2”h+Œ b59b9ea9a8e790f7d8aa927bf742cb55”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-textshape-1.7.3-r40hc72bb7e_0.tar.bz2”h0Œ@f41ea84658d01ef287e7c452071e1125ec63e3e7b4508977a2e1b827662731df”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œr-slam”Œ	r-stringi”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ,U6hEJ@‚ hFˆubh)”}”(hŒr-captioner”h#Œ2.2.3”h%Œr40h6115d3f_1004”h'Mìhhh(h)hŒ*r-captioner-2.2.3-r40h6115d3f_1004.tar.bz2”h+Œ b4498917d68bae1089dad698b7e7cd92”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-captioner-2.2.3-r40h6115d3f_1004.tar.bz2”h0Œ@4bc2339ad281c3ea1174b7443a26ce5d8565518416803e53cb9fa63f73cf97bc”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×¬þVl¬hEM9™hFˆubh)”}”(hŒ
r-dreamerr”h#Œ1.2.3”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-dreamerr-1.2.3-r40hc72bb7e_0.tar.bz2”h+Œ 1f4d3f7dfa2b42a29a14263f88fc78cd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dreamerr-1.2.3-r40hc72bb7e_0.tar.bz2”h0Œ@283d146f343d6d4b18fe653b63f0db1a9cb448908c0effa8da60436e0df4a741”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-formula”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ*Fj,(öhEJ@z hFˆubh)”}”(hŒnr.fs”h#Œ1.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ nr.fs-1.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ f1d2952e81c3808e360fc77feba21595”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/nr.fs-1.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@99b20a12fed952fec7b91fdeafaf055c206daf3174107ef8c2a7cacec181c773”h2NhNh3Œpython >=3.4”Œsix >=1.11.0,<2.0.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØBx ÄœhEM 5hFˆubh)”}”(hŒr-pbs”h#Œ1.1”h%Œr41hc72bb7e_3”h'Khhh(h)hŒr-pbs-1.1-r41hc72bb7e_3.tar.bz2”h+Œ 3cd1d08d668ca3d027303e2798aa3a1d”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-pbs-1.1-r41hc72bb7e_3.tar.bz2”h0Œ@8b6934999ed7d2de9bf453937f93389ad77c7c2adefe84edaa5a238e4fce85fa”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ+>òMÓhEMÎyhFˆubh)”}”(hŒparalleltask”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'paralleltask-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 76f02e0c4e4d862941e3778702707eba”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/paralleltask-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@4fd4598704ca089b3079b25873cc0e4ed44b331f46aab8a8dee6eae22bb0fd71”h2NhNh3Œpsutil”Œpython >=3.6”†”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ·ý[çmhEM}thFˆubh)”}”(hŒmrcfile”h#Œ1.4.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"mrcfile-1.4.3-pyhd8ed1ab_0.tar.bz2”h+Œ b6e5052c1cba799ee80e1b4d812c51e0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/mrcfile-1.4.3-pyhd8ed1ab_0.tar.bz2”h0Œ@33a602d9e6c11fda273afdcc59f87f1a5e55e6fd0e78945883bb00ced5e00fad”h2NhNh3Œnumpy >=1.16”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØË)Ëñ&éhEML‰hFˆubh)”}”(hŒcairo-devel-cos7-ppc64le”h#Œ1.15.12”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5cairo-devel-cos7-ppc64le-1.15.12-hdf0574f_102.tar.bz2”h+Œ 399ea09c3ec4144d0a0e727cd9a732ff”h.Œchttps://conda.anaconda.org/conda-forge/noarch/cairo-devel-cos7-ppc64le-1.15.12-hdf0574f_102.tar.bz2”h0Œ@f67fb9593622861d713ae91cdb6e59a83e19b6506df38ebcae5b9b37c1de81b3”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2 or MPLv1.1”hBŒLGPL”hDGA×ÅhÿëdZhEJpÂ hFˆubh)”}”(hŒvoluptuous-serialize”h#Œ2.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/voluptuous-serialize-2.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2f0ee379609ceba18c482b493c3089f7”h.Œ]https://conda.anaconda.org/conda-forge/noarch/voluptuous-serialize-2.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6b7d975d7f445dafb290f01abe1e36778e6ba4b658e3405281abb6cb09ca4dbd”h2NhNh3Œpython >=3.6”Œ
voluptuous”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØpKuÒòhEMú-hFˆubh)”}”(hŒatk-devel-cos7-ppc64le”h#Œ2.28.1”h%Œha826a6f_103”h'Kghhh(h)hŒ2atk-devel-cos7-ppc64le-2.28.1-ha826a6f_103.tar.bz2”h+Œ 59d7f788e1a9d30ff6a39363d14af7c4”h.Œ`https://conda.anaconda.org/conda-forge/noarch/atk-devel-cos7-ppc64le-2.28.1-ha826a6f_103.tar.bz2”h0Œ@89063a8a58b10b6287f473f928652f0260a3e93fb865f5bc292c80a58ad8f25c”h2NhNh3Œatk-cos7-ppc64le ==2.28.1 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/Òš~úhEJâ± hFˆubh)”}”(hŒr-metacycle”h#Œ1.2.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ'r-metacycle-1.2.0-r41hc72bb7e_2.tar.bz2”h+Œ 7772229e0dc3709962e462768673ab3a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metacycle-1.2.0-r41hc72bb7e_2.tar.bz2”h0Œ@79513e09294ed6c6c510a37ca543d6a3dd2b340f9114f0202b3c2e4dcef85bbf”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-gnm”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+Y!‰7hEJ
† hFˆubh)”}”(hŒplip”h#Œ2.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒplip-2.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 457ea45bb01fcd5857b2d3c8e7c408ef”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/plip-2.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@223a79a3e9cabaa6a084317a540833d76787103e7470c5056b756ad050e3f63b”h2NhNh3(Œlxml >=4.2.1”Œnumpy >=1.13.3”Œopenbabel >=3.0.0”Œpymol-open-source >=2.3.0”Œpython >=3.6”t”h9h?h@ŒGPL-2.0-only”hBŒGPL”hDGAØ(˜	ÂhEMöýhFˆubh)”}”(hŒlibxxf86vm-cos6-x86_64”h#Œ1.1.3”h%Œha826a6f_103”h'Kghhh(h)hŒ1libxxf86vm-cos6-x86_64-1.1.3-ha826a6f_103.tar.bz2”h+Œ 7c10bb7d679539dd84f39aa9b421671a”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos6-x86_64-1.1.3-ha826a6f_103.tar.bz2”h0Œ@d9ba3858562ec7158539e21b52dab9093da899e40eb12026626220390b87942a”h2NhNh3Œ%libx11-cos6-x86_64 >=1.5.99.902 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ1¡×ïžhEM34hFˆubh)”}”(hŒr-nmi”h#Œ2.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒr-nmi-2.0-r40hc72bb7e_0.tar.bz2”h+Œ 18f5e85ed316c3c623bd34c3a11290ee”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-nmi-2.0-r40hc72bb7e_0.tar.bz2”h0Œ@eb91cd050ea9da4b5eeefac150db8d28daa245c9bb84a42240c8bcf17ae8a23c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ.Õ'rÐåhEMSYhFˆubh)”}”(hŒr-solvesaphe”h#Œ2.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-solvesaphe-2.1.0-r41hc72bb7e_1.tar.bz2”h+Œ ce99b8e94c920c78891a686fed72b460”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-solvesaphe-2.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@8545432ea7dd946f331d890ea4f71788376b365d34bbcaf2a35415ec55ce0414”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØÑFm6ffhEJû5 hFˆubh)”}”(hŒr-stratifyr”h#Œ1.0_3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-stratifyr-1.0_3-r41hc72bb7e_1.tar.bz2”h+Œ 0b1edec64de15c5fc427ae1e4099cc5a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-stratifyr-1.0_3-r41hc72bb7e_1.tar.bz2”h0Œ@2d0d319fa1e2ab6cbc30328fad93180b6b3db615d573c55d6cdc9170fe97cbf2”h2NhNh3(Œr-actuar”Œr-base >=4.1,<4.2.0a0”Œr-fitdistrplus”Œr-mc2d”Œ
r-triangle”Œr-zipfr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑþmË÷ÏhEJ’ð hFˆubh)”}”(hŒpangaea”h#Œ0.0.4”h%Œpy37_1”h'Khhh(h)hŒpangaea-0.0.4-py37_1.tar.bz2”h+Œ 16b5899e9df474c8f0805de388424b29”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/pangaea-0.0.4-py37_1.tar.bz2”h0Œ@8d8007208668eea177edd47d1e835d095bc55257e69707788db116e7c1e94903”h2NhNh3(Œgazar”Œnetcdf4”Œpython >=3.6”Œ
wrf-python”t”h9hºh@ŒBSD 3-Clause”hBŒBSD”hDGA×S\¤ýôhEM0hFˆubh)”}”(hŒnss-cos7-ppc64le”h#Œ3.44.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ,nss-cos7-ppc64le-3.44.0-hdf0574f_102.tar.bz2”h+Œ eb68ad213bb3f9d6bbb25256599f7d4a”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/nss-cos7-ppc64le-3.44.0-hdf0574f_102.tar.bz2”h0Œ@280eef2225eb1c81602f57ab3c7d6dd11b1d7553fff7fe35b42c428f54d53481”h2NhNh3Œ nspr-cos7-ppc64le >=4.21.0 *_102”Œ$nss-util-cos7-ppc64le >=3.44.0 *_102”†”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+žKÆ¨hEJÌX hFˆubh)”}”(hŒr-hmsc”h#Œ3.0_13”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ#r-hmsc-3.0_13-r42hc72bb7e_1.tar.bz2”h+Œ b13d19c7599a741b0a8c8bbfb0dd0dec”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-hmsc-3.0_13-r42hc72bb7e_1.tar.bz2”h0Œ@bbd962738d529a41126970f7e26b183a3559472fdf978526db9cbc929685cdfc”h2NhNh3(Œr-abind”Œr-ape”Œr-base >=4.2,<4.3.0a0”Œr-bayeslogit”Œr-coda”Œr-fields”Œr-fnn”Œ	r-ggplot2”Œr-mass”Œr-matrix”Œr-matrixstats”Œ
r-mcmcpack”Œr-nnet”Œr-pracma”Œr-proc”Œr-rlang”Œr-sp”Œ	r-statmod”Œr-truncnorm”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓYW‘&éhEJ¾-+ hFˆubh)”}”(hŒr-svmisc”h#Œ1.2.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-svmisc-1.2.3-r41hc72bb7e_0.tar.bz2”h+Œ ed310dc745514b7b56470c211fb4fa2f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-svmisc-1.2.3-r41hc72bb7e_0.tar.bz2”h0Œ@536dc79f0772ad0d4bcae0ad38707deee5940550347d2a7e60a8b09240b8578b”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØY#ãc×
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r-sombrero”h#Œ1.4_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-sombrero-1.4_1-r42hc72bb7e_1.tar.bz2”h+Œ 494a4d6d4bcb294c8d4756add7f8bf0c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sombrero-1.4_1-r42hc72bb7e_1.tar.bz2”h0Œ@e156ce62959f7ebcdfb0237813d9f5492ed456b45e5d126f74265d68862255bc”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ	r-ggplot2”Œr-ggwordcloud”Œr-igraph >=1.0”Œr-interp”Œ
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r-contrast”h#Œ0.24.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-contrast-0.24.2-r41hc72bb7e_1.tar.bz2”h+Œ 7e0e0b368744f603f947c0f5465ccc00”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-contrast-0.24.2-r41hc72bb7e_1.tar.bz2”h0Œ@f8f178f7055e6fe61ecf880083b60068fb86afb0869e2016c811ae050dd76ece”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-nlme”Œr-rms”Œ
r-sandwich”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓ`6}ÂhEJ$~ hFˆubh)”}”(hŒlibxkbcommon-devel-cos7-x86_64”h#Œ0.7.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ:libxkbcommon-devel-cos7-x86_64-0.7.1-h9b0a68f_1105.tar.bz2”h+Œ b87ee7e22ddec37b46006d3338b1f7a6”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxkbcommon-devel-cos7-x86_64-0.7.1-h9b0a68f_1105.tar.bz2”h0Œ@97cc2c46f942e429b433215daf120be86a2fe3df57e5797f797b1f0d70700c75”h2NhNh3Œ'libxkbcommon-cos7-x86_64 ==0.7.1 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@kàÊ¬hEMmÞhFˆubh)”}”(hŒ
python-cas”h#Œ1.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%python-cas-1.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 11d1f4e51eac81d83e6a6f6e47402668”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/python-cas-1.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d500f9c2b650191d19c8a785c959e601cf880ce14e73dc7f55d32eb47d307a7c”h2NhNh3(Œlxml”Œpython >=3.6”Œrequests”Œsix”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ|°V|“hEM(-hFˆubh)”}”(hŒstrip-hints”h#Œ0.1.8”h%Œpy_0”h'K hhh(h)hŒstrip-hints-0.1.8-py_0.tar.bz2”h+Œ a869b49de238407504f7adb446763159”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/strip-hints-0.1.8-py_0.tar.bz2”h0Œ@bc742fd3af130fc2eaf3417e334b0d9b62b026e833d29c849fcad921a1cf2719”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×– mÅ`BhEM
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atomic-hpc”h#Œ0.4.0”h%Œpy_0”h'K hhh(h)hŒatomic-hpc-0.4.0-py_0.tar.bz2”h+Œ f60dcad090d06c83ca4442d3e6a479d6”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/atomic-hpc-0.4.0-py_0.tar.bz2”h0Œ@eb91823f507ff3dd6b46097c66c0a529fb133129e13b6a5767601e33dae87ed3”h2NhNh3(Œjsonextended >=0.5.6”Œ
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GPL (>= 2)”hBŒGPL3”hDGA×MÚùÊÁhEJN02 hFˆubh)”}”(hŒ	rb-liquid”h#Œ4.0.3”h%Œ
hc42de5b_1”h'Khhh(h)hŒ"rb-liquid-4.0.3-hc42de5b_1.tar.bz2”h+Œ 0fe2c68298d0ea9e6e7bde1fb62ce436”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-liquid-4.0.3-hc42de5b_1.tar.bz2”h0Œ@bb76452e4ff756786eb2c262a7b85844d512835b0fd8f0c76dd5dc6f24a76545”h2NhNh3Œruby >=2.6.3,<2.7.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×[åPõÃhEJ¢K hFˆubh)”}”(hŒr-plasmidprofiler”h#Œ0.1.6”h%Œr35_1001”h'Méhhh(h)hŒ(r-plasmidprofiler-0.1.6-r35_1001.tar.bz2”h+Œ 7aba8ff0eca119c7c2fa4e1af63b2903”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-plasmidprofiler-0.1.6-r35_1001.tar.bz2”h0Œ@66f0dbb9812810776072f40ffef7531b95b0a2214bc8761bcdc21c6098dfe731”h2NhNh3(Œr-ape”Œr-base >=3.5,<3.6.0a0”Œr-dplyr”Œr-gdata”Œ
r-ggdendro”Œ	r-ggplot2”Œr-gridextra”Œr-gtable”Œr-htmlwidgets”Œ
r-magrittr”Œr-plotly”Œr-plyr”Œr-rcolorbrewer”Œ
r-reshape2”Œ	r-stringr”t”h9hºh@Œ
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r-registry”h#Œ0.5_1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ&r-registry-0.5_1-r40h6115d3f_2.tar.bz2”h+Œ 40d66bf33278a9be319aa2057eeb5f24”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-registry-0.5_1-r40h6115d3f_2.tar.bz2”h0Œ@d61a772c67130e77f0e939ebb6df90d2524ff1512623800319539d48e264d720”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×«Ð÷š^5hEJ°1 hFˆubh)”}”(hŒ
freshwater”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%freshwater-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ b4f6eec7f72be7cdd109f5b561d38867”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/freshwater-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@c164b138798fbbd26d83f5ac85eb318039da0d621d4cc28aedf1b715478d784f”h2NhNh3Œnumpy >=1.19.1,<2.0.0”Œpython >=3.7,<4.0”†”h9h?h@ŒMIT”hBŒMIT”hDGAØYysµp¤hEM%#hFˆubh)”}”(hŒpanflute”h#Œ2.1.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#panflute-2.1.3-pyhd8ed1ab_0.tar.bz2”h+Œ afc76e0e2b7106fb88f79cfa0ca731a3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/panflute-2.1.3-pyhd8ed1ab_0.tar.bz2”h0Œ@14549428706001113308bb686e6cce2bf2ff01a9ba22f4da83dd2759b6fd47fc”h2NhNh3Œclick >=6,<9”Œpython >=3.6”Œpyyaml >=3,<7”‡”h6Œpandoc >=2.11.0.4,<2.17”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØi£L,1hEM=ƒhFˆubh)”}”(hŒr-pcamixdata”h#Œ3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-pcamixdata-3.1-r42hc72bb7e_1.tar.bz2”h+Œ 1befda71f057717d95f62e10b87e3f47”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-pcamixdata-3.1-r42hc72bb7e_1.tar.bz2”h0Œ@96be2194e990b4df8c5835cd50f4fd68fa61bf68ef19c85dde8da5824d0e725a”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ”þVhEJ•! hFˆubh)”}”(hŒshodan”h#Œ1.28.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"shodan-1.28.0-pyhd8ed1ab_0.tar.bz2”h+Œ c0fd7226439a52678406120b609eee88”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/shodan-1.28.0-pyhd8ed1ab_0.tar.bz2”h0Œ@ee4be8a1d572b1533ccbc41f040fc33541e063df6debbe1c82964fd0904b9f6f”h2NhNh3(Œclick”Œclick-plugins”Œcolorama”Œpython >=3.4”Œrequests >=2.2.1”Œ
xlsxwriter”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÃ,…33hEM¹šhFˆubh)”}”(hŒxdesign”h#Œ0.6.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"xdesign-0.6.0-pyhd8ed1ab_0.tar.bz2”h+Œ 18343b319b045c2ecfcb53f2e952aeb8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/xdesign-0.6.0-pyhd8ed1ab_0.tar.bz2”h0Œ@83709946db41090be74433b5e2a56ebe88f56601d8e126369f926bcbc2acd9b4”h2NhNh3(Œcached-property”Œcycler”Œmatplotlib-base”Œnumpy”Œ
python >=3”Œscipy”Œ
setuptools”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ´°ÙÊÁhEMmÍhFˆubh)”}”(hŒaiohttp-cors”h#Œ0.7.0”h%Œpy_0”h'K hhh(h)hŒaiohttp-cors-0.7.0-py_0.tar.bz2”h+Œ 276767d5ffa1515c293d25bd78f22a0b”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/aiohttp-cors-0.7.0-py_0.tar.bz2”h0Œ@a076e73dbaafebab8b6a899d066fdb78407bd32c49774fa87aae412e228c6a1a”h2NhNh3Œaiohttp >=1.1”Œpython >=3.6”†”h9h?h@Œ
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r-generics”Œr-misctools >=0.6_8”Œ
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Apache-2.0”hBŒAPACHE”hDGAØ°øq
-hEMÙ@hFˆubh)”}”(hŒr-ggdistribute”h#Œ1.0.3”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ-r-ggdistribute-1.0.3-r42hc72bb7e_1003.tar.bz2”h+Œ c043002a220eb41d2951d4fdf1e930d1”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-ggdistribute-1.0.3-r42hc72bb7e_1003.tar.bz2”h0Œ@127c3874e4db385e891535aeccdc949ae0d2ca379cf58ac7ad47b0c98d625c86”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table”Œr-dplyr”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-tibble”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒwd¶hEJ–ø hFˆubh)”}”(hŒ	r-reportr”h#Œ1.3.0”h%Œr35h6115d3f_1”h'Khhh(h)hŒ%r-reportr-1.3.0-r35h6115d3f_1.tar.bz2”h+Œ 11a216520288d0de1a381eaa4bc39abd”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-reportr-1.3.0-r35h6115d3f_1.tar.bz2”h0Œ@a32420e710e208b9fcaf8f23faedf4bbbadeec3835213deda7e5a9d97d31b065”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-ore”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L`kÀƒhEM…¶hFˆubh)”}”(hŒantlr-python-runtime”h#Œ4.9.3”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ/antlr-python-runtime-4.9.3-pyhd8ed1ab_1.tar.bz2”h+Œ c88eaec8de9ae1fa161205aa18e7a5b1”h.Œ]https://conda.anaconda.org/conda-forge/noarch/antlr-python-runtime-4.9.3-pyhd8ed1ab_1.tar.bz2”h0Œ@b91f8ab4ac2b48972fbee1fc8e092cc452fdf59156e4ff2322c94bbf73650f94”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØi§i°!hEJÉŠ hFˆubh)”}”(hŒr-binhf”h#Œ1.0_3”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ&r-binhf-1.0_3-r41hc72bb7e_1003.tar.bz2”h+Œ e1d02c4e44a1337b8ed51e32dfad80da”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-binhf-1.0_3-r41hc72bb7e_1003.tar.bz2”h0Œ@039ab6edc8281b7f0347e193b98a12c32d6d73402235aca3a9eed0af6294ce65”h2NhNh3(Œr-adlift >=0.9.2”Œr-base >=4.1,<4.2.0a0”Œr-ebayesthresh”Œr-wavethresh”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+×£5?hEJ  hFˆubh)”}”(hŒr-rcrossref”h#Œ1.2.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-rcrossref-1.2.0-r42hc72bb7e_0.tar.bz2”h+Œ 62fe9ba5bca063b540b31b5ba96e6dc3”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-rcrossref-1.2.0-r42hc72bb7e_0.tar.bz2”h0Œ@ea6c68e5e23e69d5f02642be1d1efa06202ea6bf6a748dedaf4e86220175dbcb”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-crul >=0.7.4”Œr-dplyr >=0.7.4”Œr-dt”Œr-jsonlite >=1.5”Œr-miniui”Œr-plyr”Œr-r6”Œr-shiny”Œ	r-stringr”Œr-tibble”Œr-xml2 >=1.1.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÛ³œIºhEJ¬´ hFˆubh)”}”(hŒr-rhub”h#Œ1.1.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-rhub-1.1.2-r41hc72bb7e_1.tar.bz2”h+Œ 287484bf99399085471aaaab87f442c3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-rhub-1.1.2-r41hc72bb7e_1.tar.bz2”h0Œ@c23eb91a8bcee978bd8646ee6ef7e9d343c9c18710361c8778a87cc8fd352845”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-callr”Œr-cli >=1.1.0”Œr-crayon”Œr-desc”Œr-digest”Œr-httr”Œ
r-jsonlite”Œr-parsedate”Œr-pillar”Œr-prettyunits”Œ
r-processx”Œr-r6”Œ
r-rappdirs”Œr-rcmdcheck >=1.2.1”Œ	r-rematch”Œr-tibble”Œr-uuid”Œr-whoami”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ"»ohEJ®ª hFˆubh)”}”(hŒr-shiny.semantic”h#Œ0.4.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ,r-shiny.semantic-0.4.3-r41hc72bb7e_1.tar.bz2”h+Œ 7d4158cd76b819780fe73adf7383141b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shiny.semantic-0.4.3-r41hc72bb7e_1.tar.bz2”h0Œ@c248b85076e0ba95cb37d5e4475b6ba59f4f0d8c573d5e33d5724b38f1b71ad9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.2.6”Œr-htmlwidgets >=0.8”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr >=0.2.2”Œr-shiny >=0.12.1”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑLVõÒòhEJZÁO hFˆubh)”}”(hŒpyspark-stubs”h#Œ3.0.0.post3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.pyspark-stubs-3.0.0.post3-pyhd8ed1ab_0.tar.bz2”h+Œ 9d5602a9e616d0cb5cec99a3d6a1f882”h.Œ\https://conda.anaconda.org/conda-forge/noarch/pyspark-stubs-3.0.0.post3-pyhd8ed1ab_0.tar.bz2”h0Œ@cb501c0af6e0630551d66d4eb8ce6f28ea76f007d0b2f81bcddeb02294c8db42”h2NhNh3Œpyspark >=3.0.0,<3.1.0”Œpython >=3.6”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØu‘  hEJb hFˆubh)”}”(hŒ	r-munsell”h#Œ0.5.0”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ(r-munsell-0.5.0-r41hc72bb7e_1003.tar.bz2”h+Œ 6bc40d32ad627274b04b8582cb4e641d”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-munsell-0.5.0-r41hc72bb7e_1003.tar.bz2”h0Œ@b7e6e9e49310e9e0274ac9b98751877b4fd385db6eed0abf6eebff531849cabc”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-colorspace”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ*ÓÝ7
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Apache-2.0”hBŒAPACHE”hDGAØS‘HÆ¨hEMV*hFˆubh)”}”(hŒlibxext-devel-cos6-x86_64”h#Œ1.3.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libxext-devel-cos6-x86_64-1.3.3-ha826a6f_1103.tar.bz2”h+Œ 9f90bfb2cdab79095d318ff03c4b971c”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos6-x86_64-1.3.3-ha826a6f_1103.tar.bz2”h0Œ@117b6f70f0e47aa02c3471946bcec77b13d108b8fd789685d809f11c056726d9”h2NhNh3Œ"libxext-cos6-x86_64 ==1.3.3 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ4KvVhEJ² hFˆubh)”}”(hŒ
r-smoother”h#Œ1.1”h%Œ	r351_1000”h'Mèhhh(h)hŒ r-smoother-1.1-r351_1000.tar.bz2”h+Œ d37e670507b1c6a4c020246db7fd4a64”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-smoother-1.1-r351_1000.tar.bz2”h0Œ@0278b338df79d61a3c368d44ce6203c72009e14a15a1c4a1462ea0bee5fadf3b”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-ttr >=0.22”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×/7ÂhEMšˆhFˆubh)”}”(hŒr-additivitytests”h#Œ1.1_4.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ/r-additivitytests-1.1_4.1-r40hc72bb7e_0.tar.bz2”h+Œ e9f1ff15465220348d912638e650b358”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-additivitytests-1.1_4.1-r40hc72bb7e_0.tar.bz2”h0Œ@e9795b2d81fecb087090f55f49885abb64474f7f757c44a9629dcafb7415f312”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ­û£³×
hEJ^  hFˆubh)”}”(hŒamply”h#Œ0.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ amply-0.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 77d9fa71552d07696ba44d2fac4f3d28”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/amply-0.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@c955ed941ad2ed4cca64cff82037d315a18682ddcdbeec1be1c32e85eee09de9”h2NhNh3Œdocutils >=0.3”Œ	pyparsing”Œpython >=3.4”‡”h9h?h@ŒEPL-2.0”hDGAØ™ùîÙhEM¦QhFˆubh)”}”(hŒ	xmlrunner”h#Œ1.7.7”h%Œpy_0”h'K hhh(h)hŒxmlrunner-1.7.7-py_0.tar.bz2”h+Œ 6339b06d00ea3d14eadf4fcb411715c2”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/xmlrunner-1.7.7-py_0.tar.bz2”h0Œ@33d09389ba8523c45761ca5886c45b26f3901809c6d5ee3687e834cb79457606”h2NhNh3Œpython”…”h9h?h@ŒLGPL-3.0”hEM,hFˆubh)”}”(hŒlibxfixes-cos6-x86_64”h#Œ5.0.3”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1libxfixes-cos6-x86_64-5.0.3-h9b0a68f_1105.tar.bz2”h+Œ 687c7aaba8cb84250cad653430377dc6”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxfixes-cos6-x86_64-5.0.3-h9b0a68f_1105.tar.bz2”h0Œ@96f104ceb8fe39035ccfead27465baddd0685bee196d4f977ff476f70fac4662”h2NhNh3Œlibx11-cos6-x86_64 >=1.6 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\õ”záhEM8hFˆubh)”}”(hŒr-parcor”h#Œ0.2_6”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ'r-parcor-0.2_6-r41hc72bb7e_1002.tar.bz2”h+Œ cce489c170b9ebd2617f63d1b375dc9d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-parcor-0.2_6-r41hc72bb7e_1002.tar.bz2”h0Œ@ea3833d9190c39b54b0b66af0e41b550e91676b7f42ae5b93dbec157394cf9cd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-epi”Œ	r-genenet”Œr-glmnet”Œr-mass”Œr-ppls”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+ Kù©ühEJ	I hFˆubh)”}”(hŒ
compas_rrc”h#Œ1.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%compas_rrc-1.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ a5f854c4c3a0066694b4d0537a91dda1”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/compas_rrc-1.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0788891b10e546ca7eb720f269137ae4dd8497ca1d48baf1f12cc964a78e6147”h2NhNh3Œ
compas_fab”Œpython >=3.6”Œroslibpy >=1.1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ'
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r-synthpop”h#Œ1.8_0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-synthpop-1.8_0-r41hc72bb7e_1.tar.bz2”h+Œ bca10fc791ec000103f32c3c69100be4”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-synthpop-1.8_0-r41hc72bb7e_1.tar.bz2”h0Œ@b87979a9f266b259035e83bedf27bba19462dd8a65d1dc3f3106e228f7d3afe2”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broman”Œ
r-classint”Œ	r-foreign”Œ	r-ggplot2”Œ	r-lattice”Œr-mass”Œr-mipfp”Œr-nnet”Œr-party”Œr-plyr”Œr-polspline”Œr-proto”Œr-randomforest”Œr-ranger”Œr-rmutil”Œr-rpart”Œ	r-stringr”Œ
r-survival”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑþÑXhEJ½_ hFˆubh)”}”(hŒr-slim”h#Œ0.1.1”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ%r-slim-0.1.1-r36h6115d3f_1001.tar.bz2”h+Œ d2079fe215bd7fa1dbce5202d82188f8”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-slim-0.1.1-r36h6115d3f_1001.tar.bz2”h0Œ@078f756752337845ee641ce9073da6df53887c3eedd68b9fbc25760204308671”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-data.table >=1.9.6”Œr-mass >=7.3”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×Lªù 1'hEJÀR hFˆubh)”}”(hŒr-rvest”h#Œ1.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-rvest-1.0.3-r41hc72bb7e_1.tar.bz2”h+Œ 761e76685c674a55a9b7146c16cdb41e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rvest-1.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@0c955bd6dd4c99b550a9c93e14f4129b4f937e4cde17df59594c355e33ceeeb3”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-glue”Œr-httr >=0.5”Œr-lifecycle >=1.0.0”Œ
r-magrittr”Œr-rlang >=1.0.0”Œ	r-selectr”Œr-tibble”Œr-withr”Œr-xml2 >=1.3”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ¾œ
^5hEJÿ_ hFˆubh)”}”(hŒr-aod”h#Œ1.3.2”h%Œr41ha770c72_1”h'Khhh(h)hŒ!r-aod-1.3.2-r41ha770c72_1.tar.bz2”h+Œ 85a3e21610e655a7e42f1ba7ad54cd0f”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-aod-1.3.2-r41ha770c72_1.tar.bz2”h0Œ@1f3cf7021b10284f03b20de0e218c9b05cfe84fd71b281951da06b525d09f824”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@Œ
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pivottable”h#Œ2.23.0”h%j3G h'K hhh(h)hŒpivottable-2.23.0-0.tar.bz2”h+Œ 8e08a523c12ed626cbdc12b194949098”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/pivottable-2.23.0-0.tar.bz2”h0Œ@a30c8689252662ade786705463b32e9137ad7887be8718de35c5ccc4173cf6e0”h2NhNh3)h9hºh@ŒMIT”hBŒMIT”hDGA×–äÝ/hEJõò hFˆubh)”}”(hŒr-tcltk2”h#Œ1.2_11”h%Œ	r351_1000”h'Mèhhh(h)hŒ!r-tcltk2-1.2_11-r351_1000.tar.bz2”h+Œ 105e83e7d9a6fff722dc387087204b28”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-tcltk2-1.2_11-r351_1000.tar.bz2”h0Œ@d1d4136032c88fb4751de6fbd37eb5222ea8a01b9b897da449b7b21c287e6b4c”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒLGPL-3”hBŒLGPL”hDGAÖûø—
=hEJ:q hFˆubh)”}”(hŒsoupy”h#Œ0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒsoupy-0.3-pyhd8ed1ab_0.tar.bz2”h+Œ aa154d57e078b6d785e9e2868e947f1c”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/soupy-0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@6f147b7c3d9a65fafcc7e89fbec104c96f043e5ffe5980b43c10363d50ab3812”h2NhNh3Œbeautifulsoup4”Œpython >=3.3”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÒÆ»ýp¤hEMß9hFˆubh)”}”(hŒpython-keycloak”h#Œ0.26.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+python-keycloak-0.26.1-pyhd8ed1ab_0.tar.bz2”h+Œ 24b1b7642798ad10484c2adc9076e937”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/python-keycloak-0.26.1-pyhd8ed1ab_0.tar.bz2”h0Œ@ea98e61d874c3a33aa21e5eab1068f2a65a34886193a114fa3887792cef20ca0”h2NhNh3Œpython >=3.6,<4”Œpython-jose >=1.4.0”Œrequests >=2.20.0”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØK=«Í‘hhEMchFˆubh)”}”(hŒservicestack”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'servicestack-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6f6707eb06fe20855411d2e513c674bb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/servicestack-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9d9670eb009de096a17be23227bfa46d971906132d4b20d2d5bcd7a89d88c804”h2NhNh3(Œdataclasses >=0.6”Œdataclasses-json >=0.5.4”Œmarshmallow >=3.12.2”Œpython >=3.7”Œrequests >=2.25.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØKa„
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setuptools”Œuvicorn”Œwerkzeug”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸¥g‘hhEM-hFˆubh)”}”(hŒ	r-selectr”h#Œ0.4_2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-selectr-0.4_2-r36h6115d3f_1.tar.bz2”h+Œ ff41f460fc62264511c82bf052e78143”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-selectr-0.4_2-r36h6115d3f_1.tar.bz2”h0Œ@1410475182419ed689ccb903d2f0e584e9acbc7b26ad0b28bdf553b03368350a”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-r6”Œ	r-stringr”‡”h9hºh@ŒBSD_3_clause”hBŒBSD”hDGA×«Ë¢¿ÎÙhEJSj hFˆubh)”}”(hŒr-rlist”h#Œ0.4.6.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-rlist-0.4.6.2-r41hc72bb7e_1.tar.bz2”h+Œ e36c02f048ad1001a5356579f2cf63b7”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rlist-0.4.6.2-r41hc72bb7e_1.tar.bz2”h0Œ@847e9bfb17fcb0fc0575cb3325ca9a77c1a5aa9a173db7d34571467d79435f42”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ
r-jsonlite”Œr-xml”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØsZå‡+hEJ}ë hFˆubh)”}”(hŒcups-devel-cos6-x86_64”h#Œ1.4.2”h%Œha826a6f_1103”h'MOhhh(h)hŒ2cups-devel-cos6-x86_64-1.4.2-ha826a6f_1103.tar.bz2”h+Œ a878dcbbefe39692ea4bbe15f5b395bd”h.Œ`https://conda.anaconda.org/conda-forge/noarch/cups-devel-cos6-x86_64-1.4.2-ha826a6f_1103.tar.bz2”h0Œ@7aefa685e38467e63239ddf0bb8651efe3c954f84a2e6287ece65050fc8ae81b”h2NhNh3Œ$cups-libs-cos6-x86_64 ==1.4.2 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Æ{¦Û#hEM`åhFˆubh)”}”(hŒopsgenie-sdk”h#Œ2.1.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'opsgenie-sdk-2.1.5-pyhd8ed1ab_0.tar.bz2”h+Œ 37f224eae42bdd9c9a127713cdb92d41”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/opsgenie-sdk-2.1.5-pyhd8ed1ab_0.tar.bz2”h0Œ@0b372b1dc4407039bb350716fbca0e2b3f40ac0f22aac874415193562abe25c6”h2NhNh3(Œcertifi”Œpython >=3.4”Œpython-dateutil”Œsetuptools >=21.0.0”Œ
six >=1.10”Œtenacity >=5.0.4”Œurllib3 >=1.26.5”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØvu¯t¼hEJÑ hFˆubh)”}”(hŒquestionary”h#Œ1.10.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'questionary-1.10.0-pyhd8ed1ab_1.tar.bz2”h+Œ c48bf69327994b33a7036fa835b8989e”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/questionary-1.10.0-pyhd8ed1ab_1.tar.bz2”h0Œ@8890d3a958a3bc18d5a562bb3917cff042be393d1c67925accc27ea4ff912dd2”h2NhNh3Œprompt_toolkit >=2.0,<4.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ‹ò?VffhEMubhFˆubh)”}”(hŒlibibumad-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libibumad-cos7-aarch64-22.4-h9d98e8f_1104.tar.bz2”h+Œ df2aebada682d57027963ec9eda2c16e”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libibumad-cos7-aarch64-22.4-h9d98e8f_1104.tar.bz2”h0Œ@56b17407d23fef18585e9063435b9d8f4ba8f8bfe6b21c1d56f306dc48911ccb”h2NhNh3Œ$rdma-core-cos7-aarch64 ==22.4 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É|3ªMÓhEM{hFˆubh)”}”(hŒ
r-treebase”h#Œ0.1.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-treebase-0.1.4-r40hc72bb7e_0.tar.bz2”h+Œ 5198bd4ffd127c1c75882c7960917060”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-treebase-0.1.4-r40hc72bb7e_0.tar.bz2”h0Œ@10cc36e30f273497fc0257ee944473a2785fa586b9b3ddd652503c1627d39913”h2NhNh3(Œr-ape”Œr-base >=4.0,<4.1.0a0”Œr-httr”Œr-rcurl”Œr-xml”t”h9hºh@ŒCC0-1.0”hBŒCC”hDGAØ+»“×
hEJ¼oB hFˆubh)”}”(hŒr-dendroextras”h#Œ0.2.3”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ-r-dendroextras-0.2.3-r40hc72bb7e_1002.tar.bz2”h+Œ 92c54117d2421e31988ec8a901ec451e”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-dendroextras-0.2.3-r40hc72bb7e_1002.tar.bz2”h0Œ@e340a096b4d1c873f36767fa2c93ebb94766194142b16c7393982432a82ea951”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+,89Û#hEMÂÉhFˆubh)”}”(hŒdeepdish”h#Œ0.3.4”h%Œpy_3”h'Khhh(h)hŒdeepdish-0.3.4-py_3.tar.bz2”h+Œ 8a17710631e5051bdfee7847cfe1b5e8”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/deepdish-0.3.4-py_3.tar.bz2”h0Œ@b143cdbde113543134d52d15762c0a18a52b03869f990d6f171ef388f9c87b7b”h2NhNh3(Œnumpy”Œpytables”Œpython”Œscipy”t”h9h?h@ŒBSD 2-Clause”hDGA×0)M`BhEMŠ‚hFˆubh)”}”(hŒr-mmod”h#Œ1.3.3”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-mmod-1.3.3-r35h6115d3f_0.tar.bz2”h+Œ 23dede652f952c7a4ad251cfb121f238”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mmod-1.3.3-r35h6115d3f_0.tar.bz2”h0Œ@6da5bebee735f3e76fa13954227c612e6d2730cdc4ad84526647c15917e5b08d”h2NhNh3Œr-adegenet >=2.0”Œr-base >=3.5,<3.6.0a0”Œr-pegas”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×dÆîYÛ#hEJåœ hFˆubh)”}”(hŒr-metacycle”h#Œ1.2.0”h%Œr36h6115d3f_2”h'Khhh(h)hŒ'r-metacycle-1.2.0-r36h6115d3f_2.tar.bz2”h+Œ 30b38afe2ced02891582cc6866dcc676”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-metacycle-1.2.0-r36h6115d3f_2.tar.bz2”h0Œ@126d2e79610a43f6eb3ae1bf5394324487b8b02e0fe48be234043ec8e9dfff91”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-gnm”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬«ÑtjhEJƒ hFˆubh)”}”(hŒr-mhadaptive”h#Œ1.1_8”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ+r-mhadaptive-1.1_8-r36h6115d3f_1001.tar.bz2”h+Œ d07a450b6dfed3a51920373f29a10f5c”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-mhadaptive-1.1_8-r36h6115d3f_1001.tar.bz2”h0Œ@40e81a69c85c7a6206100c079d0b071d48c759c352217fcd673ae3ff8511ed39”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@Œ
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¶ hFˆubh)”}”(hŒ	r-logging”h#Œ0.10_108”h%Œr35_0”h'K hhh(h)hŒ r-logging-0.10_108-r35_0.tar.bz2”h+Œ 418bf5e0f076943084366c7fa4984e16”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-logging-0.10_108-r35_0.tar.bz2”h0Œ@51f2415d2d2676d8dddd029dd762f7f1aadcb713aeebe2791f06968e3903927d”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×JÐmˆbhEJ¯ hFˆubh)”}”(hŒr-assertive.models”h#Œ0.0_2”h%Œr351h6115d3f_0”h'K hhh(h)hŒ/r-assertive.models-0.0_2-r351h6115d3f_0.tar.bz2”h+Œ 0560d80a4df0eeb439eb71f30e50f0d4”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-assertive.models-0.0_2-r351h6115d3f_0.tar.bz2”h0Œ@31ae3b708667b0d8a49b2546ca28199c8f689a92ce8b9aaf7c78ac6790612624”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.5.1,<3.5.2.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×Ãý?}hEM:hFˆubh)”}”(hŒpypugjs”h#Œ5.7.2”h%Œpy_0”h'K hhh(h)hŒpypugjs-5.7.2-py_0.tar.bz2”h+Œ d78e578725eed7be91da51b4b47a00db”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/pypugjs-5.7.2-py_0.tar.bz2”h0Œ@7a6d613aa36d6301d4092e606ab8b508a2d86d777000ee945d157a1b9ca6a235”h2NhNh3Œchardet”Œpython”Œsix”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×rã“ohEM_{hFˆubh)”}”(hŒlibxcomposite-devel-cos6-x86_64”h#Œ0.4.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ:libxcomposite-devel-cos6-x86_64-0.4.3-h9b0a68f_105.tar.bz2”h+Œ 624363b693fe083c0ba7a6c2d332b6c3”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxcomposite-devel-cos6-x86_64-0.4.3-h9b0a68f_105.tar.bz2”h0Œ@965d611c9944dcd4b0c7df2f2ded0edb72fd3f388081c7466806cac880fcdbe9”h2NhNh3Œ'libxcomposite-cos6-x86_64 ==0.4.3 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@X¸Ô¼jhEM:-hFˆubh)”}”(hŒdynamotable”h#Œ0.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&dynamotable-0.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 4375867337a0ea4efc6c84245e06d74b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/dynamotable-0.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@7fae7cf0759f6851c474b73d846b1307c1ce496d3428166d5a6a36bde56958cf”h2NhNh3Œpandas”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¯'˜+hEMz#hFˆubh)”}”(hŒquickff”h#Œ2.2.4”h%Œpyh8c360ce_0”h'K hhh(h)hŒ"quickff-2.2.4-pyh8c360ce_0.tar.bz2”h+Œ e0c549170b3357758a1de6ca4ff93886”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/quickff-2.2.4-pyh8c360ce_0.tar.bz2”h0Œ@f70449f5f89fd7fdbc52bb8b76a2cb3691214b64bd6041c7e436486c846df90a”h2NhNh3(Œimportlib_resources”Œnumpy”Œpython”Œyaff”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×š,ŠUÒòhEJ)× hFˆubh)”}”(hŒrb-typhoeus”h#Œ1.3.1”h%Œ
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setuptools”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×ÞøÄ_ß;hEM˜6hFˆubh)”}”(hŒbar_chart_race”h#Œ0.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ)bar_chart_race-0.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ 0dc193cc0c28f855f18ba3d9044b7914”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/bar_chart_race-0.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@610daa39a94bb7e5b0d88e7886fd8025d3e0ee4f41ee8e22b29a47a8993b4c7e”h2NhNh3(Œmatplotlib-base >=3.1.0”Œnumpy >=1.15.0”Œpandas >=0.24.0”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¹£Pa™šhEJéÀ hFˆubh)”}”(hŒrb-rouge”h#Œ3.11.0”h%Œ
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GPL (>= 2)”hBŒGPL3”hDGA×¬8k”ÌÍhEJ hFˆubh)”}”(hŒjupyterlab_latex”h#Œ3.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ+jupyterlab_latex-3.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ bfbf352b44110bf70870386a427628e4”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab_latex-3.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f5ce48352025bab3aefc09511ed9f0cd025afea68abddaf2fb6e384c0df33860”h2NhNh3Œjupyter_server >=1.6,<2”Œjupyterlab >=3,<4”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØP¡8¯+hEJ1<	 hFˆubh)”}”(hŒr-sentimentanalysis”h#Œ1.3_4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ/r-sentimentanalysis-1.3_4-r41hc72bb7e_0.tar.bz2”h+Œ b9c0ba9862df7f961fd254d54a0b4131”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-sentimentanalysis-1.3_4-r41hc72bb7e_0.tar.bz2”h0Œ@29077c020b363b4b077949993d16b7da8e49f18353ef4d1cbd57ce55da819557”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-glmnet”Œ	r-moments”Œr-ngramrr >=0.1”Œr-qdapdictionaries”Œr-spikeslab >=1.1”Œr-stringdist”Œ
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GPL (>= 3)”hBŒGPL3”hDGAØ+Ægzn˜hEJ¡û hFˆubh)”}”(hŒr-drat”h#Œ0.2.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ"r-drat-0.2.3-r41hc72bb7e_1.tar.bz2”h+Œ ac11743279a554c075bfc1738ab892c2”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-drat-0.2.3-r41hc72bb7e_1.tar.bz2”h0Œ@d30ee872577f8e414451d2c676a11ea66ef14eea7961084ad02e7d613496b871”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ¸)÷ hEJvP hFˆubh)”}”(hŒlibx11-common-cos7-x86_64”h#Œ1.6.7”h%Œha826a6f_1103”h'MOhhh(h)hŒ5libx11-common-cos7-x86_64-1.6.7-ha826a6f_1103.tar.bz2”h+Œ 910f4a62749b09346e7959584c335e71”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-x86_64-1.6.7-ha826a6f_1103.tar.bz2”h0Œ@0a8dc84b0c1881abe972ed7d36bd7b62a34f7634cf17edc3396bfd2053ad1d17”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ0€å`hEJˆ) hFˆubh)”}”(hŒmido”h#Œ1.2.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ mido-1.2.10-pyhd8ed1ab_0.tar.bz2”h+Œ 157b26f21135c644264daf0722993324”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/mido-1.2.10-pyhd8ed1ab_0.tar.bz2”h0Œ@df423fa135e95669189347abb466d070fb2f09e8edb9401a0459a1c77558d813”h2NhNh3Œpython >=2.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØEº8Â^5hEM}›hFˆubh)”}”(hŒr-pafr”h#Œ0.0.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-pafr-0.0.2-r40hc72bb7e_0.tar.bz2”h+Œ 3ce707c46ce5db769968f6b14fd52cd8”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-pafr-0.0.2-r40hc72bb7e_0.tar.bz2”h0Œ@5e495b1beab27428ddb6a4e6b25764979bb3f95c6c161a763ee57d2114d76a0d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ œbÑº^hEJdT hFˆubh)”}”(hŒ	ratelimit”h#Œ2.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$ratelimit-2.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3e8565b8c77205fc638ee40f5d2a2dba”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/ratelimit-2.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@101e2a376e7b8cdff4a8e84e922a47a2ed4c8469a43a20d4e19b3f4e9a29f36f”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØÝy¬Ý/hEMG#hFˆubh)”}”(hŒwebkitgtk-devel-cos6-x86_64”h#Œ1.4.3”h%Œha826a6f_103”h'Kghhh(h)hŒ6webkitgtk-devel-cos6-x86_64-1.4.3-ha826a6f_103.tar.bz2”h+Œ 664b0461b0c9fcf7bfb20ce551b81810”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/webkitgtk-devel-cos6-x86_64-1.4.3-ha826a6f_103.tar.bz2”h0Œ@4c51b7a9c0c54b212c572309a7145163e34bcf72a0ae1c4bc12c5b9fcac2bcda”h2NhNh3Œ#webkitgtk-cos6-x86_64 ==1.4.3 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2+ and BSD”hBŒLGPL”hDGA×Æ0gXhEJî' hFˆubh)”}”(hŒr-cyclocomp”h#Œ1.1.0”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ*r-cyclocomp-1.1.0-r35h6115d3f_1002.tar.bz2”h+Œ 2d62f37b603a0ee4ed24d12ddb09bebc”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-cyclocomp-1.1.0-r35h6115d3f_1002.tar.bz2”h0Œ@8e5ed1c305e0954727121fe6490e185e2e9a8c98291df568c7065ead9bc6871d”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-callr”Œr-crayon”Œr-desc”Œ	r-remotes”Œr-withr”t”h9hºh@ŒMIT”hBŒMIT”hDGA×LŠÅ.{hEMa’hFˆubh)”}”(hŒr-wikipedir”h#Œ1.5.0”h%Œr41hd8ed1ab_1004”h'Mìhhh(h)hŒ*r-wikipedir-1.5.0-r41hd8ed1ab_1004.tar.bz2”h+Œ fd710a7b28059834099e5efe04d50d94”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-wikipedir-1.5.0-r41hd8ed1ab_1004.tar.bz2”h0Œ@5b109ce390c330733a5ed80c6689ddb5cdcfdcda5f528dbd703b45c8fa56ea6d”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÐ±¡_¾whEJ„X hFˆubh)”}”(hŒlibglvnd-cos7-ppc64le”h#Œ1.0.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1libglvnd-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h+Œ 2d144c026655f1771e8f1fd11d9d0960”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libglvnd-cos7-ppc64le-1.0.1-h9d98e8f_1104.tar.bz2”h0Œ@1f4a11ceb6449fd0ef1b2efde7c35c82ded3fdcd0da969ade81a471d21916a26”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×ÉzhÞhEJÃõ hFˆubh)”}”(hŒlibnl3-cos7-aarch64”h#Œ3.2.28”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libnl3-cos7-aarch64-3.2.28-h9d98e8f_1104.tar.bz2”h+Œ 342ad2919851673c3fbafc561b849e30”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libnl3-cos7-aarch64-3.2.28-h9d98e8f_1104.tar.bz2”h0Œ@0ba1f98da6c86345169f770b9bafe848ad95cd3e38ac11b1a411546384ba0d5d”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×Éxú:¬hEJ€½ hFˆubh)”}”(hŒ	anyconfig”h#Œ0.10.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%anyconfig-0.10.1-pyhd8ed1ab_0.tar.bz2”h+Œ f11fc0562fab5df0b75029aed96f269f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/anyconfig-0.10.1-pyhd8ed1ab_0.tar.bz2”h0Œ@a93000b9c4d4e66077c81b29d36715b2c39c4802b334c6509e0a0a331a6fb5ca”h2NhNh3Œpython >=3.6”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ L>5?hEM1½hFˆubh)”}”(hŒxcb-util-devel-cos7-aarch64”h#Œ0.4.0”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6xcb-util-devel-cos7-aarch64-0.4.0-h9b0a68f_105.tar.bz2”h+Œ 174dbb918ca2cf888a887c4d1a2c1b89”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/xcb-util-devel-cos7-aarch64-0.4.0-h9b0a68f_105.tar.bz2”h0Œ@a948c61a71d01987572f4ebd629d74ccc0fbaac96f818e3f302291a356be2744”h2NhNh3Œ#xcb-util-cos7-aarch64 ==0.4.0 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@Z;»SøhEMi#hFˆubh)”}”(hŒr-tidymultiqc”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-tidymultiqc-1.0.3-r41hc72bb7e_0.tar.bz2”h+Œ fbb246e8d5166f3f4a5e33b17fde5eda”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-tidymultiqc-1.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@a57ca418fe6c690ab43fe04ddd6b6e54e6d810940e765b34972b91eccaf8d2ac”h2NhNh3(Œr-assertthat”Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œr-histdat >=0.2.0”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-rlang”Œ	r-stringr”Œr-tibble”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÌ Äª°!hEJmˆ hFˆubh)”}”(hŒlibxrandr-devel-cos6-x86_64”h#Œ1.5.1”h%Œha826a6f_103”h'Kghhh(h)hŒ6libxrandr-devel-cos6-x86_64-1.5.1-ha826a6f_103.tar.bz2”h+Œ 61771da9281fb981bac5193624a02d32”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxrandr-devel-cos6-x86_64-1.5.1-ha826a6f_103.tar.bz2”h0Œ@b58344296db9c3fdb7fdd1c9daf2173c71a366e895e3f018360662d45cf8c387”h2NhNh3Œ#libxrandr-cos6-x86_64 ==1.5.1 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2l·ïžhEMÚ<hFˆubh)”}”(hŒless.js”h#Œ3.10.3”h%j3G h'K hhh(h)hŒless.js-3.10.3-0.tar.bz2”h+Œ 7ba4b14588a1f178e6293d7e6eaacc6b”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/less.js-3.10.3-0.tar.bz2”h0Œ@83716613735d1f999a3373900395b41d9faf78a6d4c1e8c7f7cfba4e3c86a153”h2NhNh3)h9hºh@Œ
Apache-2.0”hBŒApache”hDGA×Y1nZ^5hEJÄ¨ hFˆubh)”}”(hŒr-textclean”h#Œ0.9.3”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ*r-textclean-0.9.3-r40hc72bb7e_1002.tar.bz2”h+Œ af9af151db738f623eac92933e57d7be”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-textclean-0.9.3-r40hc72bb7e_1002.tar.bz2”h0Œ@12114893eb025131cbe2bdf845af52377356ba53915b819df0c0249ce60577d5”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œr-english >=1.0_2”Œr-glue >=1.3.0”Œr-lexicon >=1.0.0”Œr-mgsub >=1.5.0”Œr-qdapregex”Œ	r-stringi”Œr-textshape >=1.0.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØ+µ<l1hEJcä hFˆubh)”}”(hŒ	r-dinamic”h#Œ1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-dinamic-1.0-r41hc72bb7e_1.tar.bz2”h+Œ 0f45486f871bebd3be489fed0dfc7899”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-dinamic-1.0-r41hc72bb7e_1.tar.bz2”h0Œ@2d7e6d2a2592da8252f986dd2bc42faecf85c433036d9b0957abcbf411463431”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÒ‹;È´hEJ hFˆubh)”}”(hŒmesa-libegl-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_1101”h'MMhhh(h)hŒ5mesa-libegl-cos7-aarch64-18.3.4-h1795305_1101.tar.bz2”h+Œ e5c68a1b28ad6254bb94dd7a14d438ff”h.Œchttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-aarch64-18.3.4-h1795305_1101.tar.bz2”h0Œ@3b5e5e92cf80643b59ba7b63f291cd66dc17c34e376a3b2f5ca560997707b72f”h2NhNh3Œmesa-libgbm-cos7-aarch64 18.3.4”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å²/|îhEJ=­ hFˆubh)”}”(hŒmarstime”h#Œ0.5.6”h%Œpy_0”h'K hhh(h)hŒmarstime-0.5.6-py_0.tar.bz2”h+Œ c1075fbd0a982967b6c6e033885ae367”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/marstime-0.5.6-py_0.tar.bz2”h0Œ@90b2c3841b1a929080585885f3d5a0a3aed0fab8dc03bec864b37b69efab33d6”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×I!’íVhEMŽ5hFˆubh)”}”(hŒlibbonobo-devel-cos7-x86_64”h#Œ2.32.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8libbonobo-devel-cos7-x86_64-2.32.1-h9b0a68f_1105.tar.bz2”h+Œ f46d5c517712c24d9d0e8cc5f5728a10”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos7-x86_64-2.32.1-h9b0a68f_1105.tar.bz2”h0Œ@f40f649493562a7c126a93c847f6ee0958545d0f88a8e027fb4cb17a07f7a40c”h2NhNh3(Œ%libbonobo-cos7-x86_64 ==2.32.1 *_1105”Œ)libxml2-devel-cos7-x86_64 >=2.4.21 *_1105”Œ'orbit2-devel-cos7-x86_64 >=2.7.5 *_1105”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGAØ@r3Ÿß;hEJúÍ hFˆubh)”}”(hŒsphinxcontrib-jsmath”h#Œ1.0.1”h%Œpy_0”h'K hhh(h)hŒ'sphinxcontrib-jsmath-1.0.1-py_0.tar.bz2”h+Œ 67cd9d9c0382d37479b4d306c369a2d4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-py_0.tar.bz2”h0Œ@a42415fc789e9f6ae2e18f07ac143d2e9ce73a35a55ecf1dd1b3d055dd1e6dbe”h2NhNh3Œpython >=3.5”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGA×'ŽÅ( ÅhEMhFˆubh)”}”(hŒphasexmlparser”h#Œ2.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)phasexmlparser-2.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ 56ef621a74a9d8814c731fa7bdfde69c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/phasexmlparser-2.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@947d1a934460f72ba108bea634a8a2d1665b4455b78e43823d98444d683a5af0”h2NhNh3(Œlxml”Œnumpy”Œpandas”Œpython >=3.6”Œxmlvalidator”t”h9h?h@ŒAGPL-3.0-only”hBŒAGPL”hDGAØXƒ
1hshEM£hFˆubh)”}”(hŒr-mcl”h#Œ1.0”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ"r-mcl-1.0-r36h6115d3f_1002.tar.bz2”h+Œ 7ad88cc03f9dc66c51a0e6c0de27c26b”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mcl-1.0-r36h6115d3f_1002.tar.bz2”h0Œ@a059ba50d68f9f750828f67c48be1d574747caedced078e081ba00afb28b893c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-expm”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬­ÊŠ=qhEMvhFˆubh)”}”(hŒ	rb-jemoji”h#Œ0.11.1”h%Œ
hd4c1694_0”h'K hhh(h)hŒ#rb-jemoji-0.11.1-hd4c1694_0.tar.bz2”h+Œ 5d957c1475995411f49278bae668516d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/rb-jemoji-0.11.1-hd4c1694_0.tar.bz2”h0Œ@f5d6e7bee6ddf54b9bf6ca4cd86cfe786ca21210a9014f8fff682aa9406ba993”h2NhNh3(Œrb-gemoji >=3.0,<4”Œrb-html-pipeline >=2.2,<3”Œrb-jekyll >=3.0,<5”Œruby >=2.5.5,<2.6.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Zç'SSøhEMÜ#hFˆubh)”}”(hŒyaqd-pmc”h#Œ	2022.11.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'yaqd-pmc-2022.11.0-pyhd8ed1ab_0.tar.bz2”h+Œ 880f00da6fb70fd428e878b3e9bf3364”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/yaqd-pmc-2022.11.0-pyhd8ed1ab_0.tar.bz2”h0Œ@9ade20e421719b909db662b7fbeb1f87370af0d809a5c4056e96d8495656f616”h2NhNh3Œpython >=3.7”Œyaqd-core >=2020.10.1”†”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÛ#„l‹hEM&ghFˆubh)”}”(hŒr-genalg”h#Œ0.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-genalg-0.2.1-r41hc72bb7e_1.tar.bz2”h+Œ 5a390448019ec43e0860ff4cc32d56a6”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-genalg-0.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@2b5d7f9e1c7de488f50146ac2a9da0aafbd9ce4f3ade06076a666baa76f5fdc4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ°OÊ^5hEM\ÔhFˆubh)”}”(hŒstats_arrays”h#Œ0.6.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'stats_arrays-0.6.5-pyhd8ed1ab_0.tar.bz2”h+Œ 413c4382b48915e1e9a7d63c9b4034e1”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/stats_arrays-0.6.5-pyhd8ed1ab_0.tar.bz2”h0Œ@0409fcabf7c84e3fac22998e60acf3b3e8c601ccbfb1dc229baa27b68930ec0b”h2NhNh3Œnumpy”Œpython >=3.6”Œscipy”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¼òîLí‘hEM/VhFˆubh)”}”(hŒr-plackettluce”h#Œ0.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-plackettluce-0.4.2-r42hc72bb7e_1.tar.bz2”h+Œ 659cef9d250b433e3ffa4d3347138109”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-plackettluce-0.4.2-r42hc72bb7e_1.tar.bz2”h0Œ@55a31ddbf40507ae400734276337647d781bbc649e6019c49dc680a3c399f817”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-cvxr”Œr-igraph”Œr-matrix”Œr-matrixstats”Œ
r-partykit”Œr-psychotools”Œr-psychotree”Œr-qvcalc”Œr-r6”Œ
r-rspectra”Œ
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r-lambda.r”h#Œ1.2.4”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ&r-lambda.r-1.2.4-r42hc72bb7e_2.tar.bz2”h+Œ a34d4479c0b26d8c903f0e05d48800dd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lambda.r-1.2.4-r42hc72bb7e_2.tar.bz2”h0Œ@2f01789457e830fa1cebb4d369e82b7bb378306b7ea927aba0eb206651818288”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-formatr”†”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÐ±d¶FhEJôã hFˆubh)”}”(hŒ	monotonic”h#Œ1.5”h%Œpy_0”h'K hhh(h)hŒmonotonic-1.5-py_0.tar.bz2”h+Œ 0cc5fd0140497c3f1e2db2e7493b62b3”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/monotonic-1.5-py_0.tar.bz2”h0Œ@68ea437ce725a9b16d2eb43c2a8f81cacd06125e8a8ac49c5b70fdad95aff2c3”h2NhNh3Œpython”…”h9h?h@Œ
Apache 2.0”hDGAÖ»l;Î$ÝhEMæ#hFˆubh)”}”(hŒp11-kit-trust-cos7-ppc64le”h#Œ0.23.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7p11-kit-trust-cos7-ppc64le-0.23.5-h9d98e8f_1104.tar.bz2”h+Œ e2bb127c2c0cae29b1d26669746a23a3”h.Œehttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-ppc64le-0.23.5-h9d98e8f_1104.tar.bz2”h0Œ@95bc21b1923c897396bbf979586a629bdfab16077e247811fbf590f1249de98b”h2NhNh3Œ$p11-kit-cos7-ppc64le ==0.23.5 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒBSD”hBŒBSD”hDGA×É|Pæ$ÝhEJœr hFˆubh)”}”(hŒfont-ttf-source-code-pro”h#Œ2.038”h%Œ
h77eed37_0”h'K hhh(h)hŒ1font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2”h+Œ 4d59c254e01d9cde7957100457e2d5fb”h.Œ_https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2”h0Œ@00925c8c055a2275614b4d983e1df637245e19058d79fc7dd1a93b8d9fb4b139”h2NhNh3)h9hºh@ŒOFL-1.1”hBŒOther”hDGAØ%£Ÿr°hEJŽ±
 hFˆubh)”}”(hŒenum-extend”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&enum-extend-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0cfdc39c0f9292f0346eea0f5e34184e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/enum-extend-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@593cea67e9de961e41274520e9cc75a84835f0e640f9fecc5a0c1f91fc18e7b7”h2NhNh3Œpython >=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGAØMÃÆÐ  hEM8#hFˆubh)”}”(hŒ
r-genetics”h#Œ	1.3.8.1.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ*r-genetics-1.3.8.1.3-r41hc72bb7e_1.tar.bz2”h+Œ af0cad53f9392904a81d83326197077d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-genetics-1.3.8.1.3-r41hc72bb7e_1.tar.bz2”h0Œ@2ff71b62ee1d59ed91b405504ab928beffe00d1306af456a2a63ba3970a336f8”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-combinat”Œr-gdata”Œr-gtools”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÑ°[8´9hEJx  hFˆubh)”}”(hŒlibxcb-cos7-x86_64”h#Œ1.13”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-libxcb-cos7-x86_64-1.13-h9d98e8f_1104.tar.bz2”h+Œ 39fce4a006f875b84421db44324acb04”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxcb-cos7-x86_64-1.13-h9d98e8f_1104.tar.bz2”h0Œ@7ec9409b3d9839527dc94dfb810239f7d6ed92a7d549accf3ec6ed24299c07de”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy³×®hEJ¾± hFˆubh)”}”(hŒr-tmaptools”h#Œ3.1_1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-tmaptools-3.1_1-r42hc72bb7e_1.tar.bz2”h+Œ def32dfeb558738870961f59e1b05499”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tmaptools-3.1_1-r42hc72bb7e_1.tar.bz2”h0Œ@3edcdb0bb8dc3aa8657274732af839719cb2cba52570163a74e09a4383eb2c8a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-classint”Œr-dichromat”Œr-kernsmooth”Œr-lwgeom >=0.1_4”Œ
r-magrittr”Œr-raster >=2.7_15”Œr-rcolorbrewer”Œ
r-sf >=0.9”Œr-stars >=0.4_0”Œr-units >=0.6_1”Œr-viridislite”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ©r#t¼hEJ8ò hFˆubh)”}”(hŒlibglvnd-opengl-cos7-aarch64”h#Œ1.0.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ8libglvnd-opengl-cos7-aarch64-1.0.1-h9b0a68f_1105.tar.bz2”h+Œ df8476290fb63f4fbf95d2987e661e8e”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libglvnd-opengl-cos7-aarch64-1.0.1-h9b0a68f_1105.tar.bz2”h0Œ@a91a34f5dd5bf06f09d4811ddb0c5114f65fd2ad039adfe8c02dbc00d95d2f4d”h2NhNh3Œ$libglvnd-cos7-aarch64 ==1.0.1 *_1105”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ŽÔ,ZhEMûïhFˆubh)”}”(hŒnss-util-cos7-aarch64”h#Œ3.44.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ2nss-util-cos7-aarch64-3.44.0-hdf0574f_1102.tar.bz2”h+Œ 2de74f976247343f25e89f8e96989867”h.Œ`https://conda.anaconda.org/conda-forge/noarch/nss-util-cos7-aarch64-3.44.0-hdf0574f_1102.tar.bz2”h0Œ@21afe0a41f24c38fe1df78e95a4788c7f677c6f48cbcdf2ef5fe0ab16af43d00”h2NhNh3Œ!nspr-cos7-aarch64 >=4.21.0 *_1102”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å+ßU‘hhEJõK hFˆubh)”}”(hŒlibxext-cos7-aarch64”h#Œ1.3.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ/libxext-cos7-aarch64-1.3.3-h9b0a68f_105.tar.bz2”h+Œ 3af022bc9d4fdf73a13ddf26e36f2788”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxext-cos7-aarch64-1.3.3-h9b0a68f_105.tar.bz2”h0Œ@d4601661f81359291fa1d8638a6125cc851a3e1e85e0535bc5322b78fd3e5706”h2NhNh3Œ&libx11-cos7-aarch64 >=1.5.99.902 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@\[á%hEM|˜hFˆubh)”}”(hŒr-optimbase”h#Œ1.0_10”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-optimbase-1.0_10-r42hc72bb7e_1.tar.bz2”h+Œ 7eb79472630d1c265a41606f33f3ad5f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-optimbase-1.0_10-r42hc72bb7e_1.tar.bz2”h0Œ@0fb6943560386b1172fc657c9d6f6b18da8c9e447ad08b7a44fe475281608576”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-matrix”†”h9hºh@ŒCeCILL-2”hBŒOTHER”hDGAØÑTò\hEJoÇ hFˆubh)”}”(hŒparsimonious”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'parsimonious-0.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ b24eb3dfa71fb40d0d6b96bf63135c29”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/parsimonious-0.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@09e47c2119c45f9c4014e8e1045fd7e6fc8f8f8b3f52d1968f64bc09380c1ad8”h2NhNh3Œpython >=3.7”Œregex”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÅ÷sÆ¨hEMk™hFˆubh)”}”(hŒlibsepol-devel-cos7-ppc64le”h#Œ2.5”h%Œha826a6f_103”h'Kghhh(h)hŒ4libsepol-devel-cos7-ppc64le-2.5-ha826a6f_103.tar.bz2”h+Œ 9d6722f1bb9f4c25fb00b2a214185ef5”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libsepol-devel-cos7-ppc64le-2.5-ha826a6f_103.tar.bz2”h0Œ@40a778586ef121310b8e45f726c38257516844e43bdcad4734893090d3e76b16”h2NhNh3Œ!libsepol-cos7-ppc64le ==2.5 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ/Òé™šhEM§®hFˆubh)”}”(hŒr-paletteer”h#Œ1.5.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ'r-paletteer-1.5.0-r42hc72bb7e_0.tar.bz2”h+Œ 73db49837079360ab464b1bfc9df8aee”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-paletteer-1.5.0-r42hc72bb7e_0.tar.bz2”h0Œ@17b02df855e5b10ad66b36ccd7cffc13eff023a45d79356ca08acfc0a849b31f”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-gameofthrones >=1.0.0”Œr-ggthemes >=4.0.0”Œr-glue”Œr-harrypotter >=2.1.0”Œ	r-jcolors”Œr-oompabase”Œr-palr”Œr-pals”Œr-prismatic”Œ
r-rematch2”Œr-rlang”Œr-rstudioapi”Œr-scico”Œr-viridislite”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÔ )^5hEJ	 hFˆubh)”}”(hŒmetafone”h#Œ0.5”h%Œpy_1001”h'Méhhh(h)hŒmetafone-0.5-py_1001.tar.bz2”h+Œ 2260a937f14aca6b7daadb40c6e191ba”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/metafone-0.5-py_1001.tar.bz2”h0Œ@a10107672a125a279ddefbc9baabaae94ee0bab40d68966ecca0f52c15b78670”h2NhNh3Œfuture”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×oÚµ6ÙhEM…9hFˆubh)”}”(hŒodfpy”h#Œ1.4.1”h%Œpy_0”h'K hhh(h)hŒodfpy-1.4.1-py_0.tar.bz2”h+Œ 831845e524d1d4cbb3b29f22be1ea597”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/odfpy-1.4.1-py_0.tar.bz2”h0Œ@ccb85af2c84c992b9ddb65d34c65189188e38735759c8ff51659f322f965dc95”h2NhNh3Œ
defusedxml”Œpython”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×‰2ÐPÔþhEJ] hFˆubh)”}”(hŒlibbonobo-cos7-ppc64le”h#Œ2.32.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libbonobo-cos7-ppc64le-2.32.1-h9b0a68f_105.tar.bz2”h+Œ 93d562bac436c3c6f2274324d122be10”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libbonobo-cos7-ppc64le-2.32.1-h9b0a68f_105.tar.bz2”h0Œ@ef2c6517ecef6b8433bf327d6f27054f3f968bd2d659acf44f0efef155d560d9”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGAØ@‡\À£×hEJ¦– hFˆubh)”}”(hŒ	r-rtensor”h#Œ1.4.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-rtensor-1.4.8-r40hc72bb7e_0.tar.bz2”h+Œ 9fe64bff65f4604f3f79494c93505f7e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rtensor-1.4.8-r40hc72bb7e_0.tar.bz2”h0Œ@df81395b81e9e8050478b94990c48aea918a07fb2bcd6042e2f059ab4aafb1ca”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ(c=ÒòhEJ¢« hFˆubh)”}”(hŒr-waterfall”h#Œ1.0.2”h%Œr36h6115d3f_2”h'Khhh(h)hŒ'r-waterfall-1.0.2-r36h6115d3f_2.tar.bz2”h+Œ 28d7f12cd3d0ee71738a731bbe52288a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-waterfall-1.0.2-r36h6115d3f_2.tar.bz2”h0Œ@78f6087f50440219b1e5f5f138c748c4e1193c7ed04db1e39bdcea7c51761e2c”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ	r-lattice”†”h9hºh@ŒBSD_2_clause”hBŒBSD”hDGA×¬3Íi%hEM±hFˆubh)”}”(hŒsisppeo”h#Œ1.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"sisppeo-1.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4000e8ad156758a4810ce6d5e9d4be99”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sisppeo-1.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cfb1b7fa2e72cfb3df8751d364bc2080b621985fa83a438951e0493384ea1b23”h2NhNh3(Œaffine”Œclick”Œcolorcet”Œ
datashader”Œfiona”Œlxml”Œmatplotlib-base”Œnetcdf4”Œnumpy”Œpandas”Œpillow”Œplotly”Œpsutil”Œpvlib-python”Œpyproj”Œpython >=3.8”Œpyyaml”Œrasterio”Œray-core”Œs2cloudless”Œscikit-image”Œscikit-learn”Œscipy”Œshapely”Œtqdm”Œxarray”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ»8(ÀƒhEJ\ hFˆubh)”}”(hŒr-preferably”h#Œ0.4.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-preferably-0.4.1-r41hc72bb7e_0.tar.bz2”h+Œ 6c521f168ec1743482ecd41515e56d0a”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-preferably-0.4.1-r41hc72bb7e_0.tar.bz2”h0Œ@a27f111361fe43c35fc94e266473fe6cc58996e41d689e00c5532c89e5b2391f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-knitr”Œ	r-pkgdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¶è‹C–hEJ” hFˆubh)”}”(hŒ	r-stapler”h#Œ0.7.1”h%Œr40hc72bb7e_1”h'Khhh(h)hŒ%r-stapler-0.7.1-r40hc72bb7e_1.tar.bz2”h+Œ c55eb58c23924b4ab3d01f0419a66f9f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-stapler-0.7.1-r40hc72bb7e_1.tar.bz2”h0Œ@7638e0627a0b6a25fb53f2ecb8d2736b906cf94d8ac794bd6b9d408422cbb9ac”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrixstats”Œr-rnifti”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+ôB=qhEJŸï hFˆubh)”}”(hŒ
napari-imc”h#Œ0.6.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%napari-imc-0.6.5-pyhd8ed1ab_0.tar.bz2”h+Œ 8f15e128b14f1411aa1d5102d8798ddf”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/napari-imc-0.6.5-pyhd8ed1ab_0.tar.bz2”h0Œ@bc07225a7599c3d928811e82c679aa4a7f31e0ce674babe568d44d4476921741”h2NhNh3(Œnapari”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpython >=3.7”Œqtpy”Œreadimc >=0.5.0”Œsuperqt”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¦Ð\‹DhEMRhFˆubh)”}”(hŒr-base64”h#Œ2.0.1”h%Œr40ha770c72_0”h'K hhh(h)hŒ$r-base64-2.0.1-r40ha770c72_0.tar.bz2”h+Œ fcf65ee36653ae5d86cc259ef89bc3c4”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-base64-2.0.1-r40ha770c72_0.tar.bz2”h0Œ@de1ac66d1bedc5fe4dae4991fd1e9d3057966af90f2e50cb7fd9b3d5a5b5db3f”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-openssl”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÀv	7LhEJ$ hFˆubh)”}”(hŒnapari-time-slicer”h#Œ0.4.9”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ-napari-time-slicer-0.4.9-pyhd8ed1ab_1.tar.bz2”h+Œ c83d3d8288204cf2af306f60d5d9ba6a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/napari-time-slicer-0.4.9-pyhd8ed1ab_1.tar.bz2”h0Œ@8247e8798b161f8a0434b5371fa2d6c0c3b5cf2a825e8b7933b1eb1304ccaade”h2NhNh3(Œnapari-plugin-engine >=0.1.4”Œnapari-tools-menu”Œnapari-workflows”Œnumpy”Œpython >=3.7”Œtoolz”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÈ„…³hEM(6hFˆubh)”}”(hŒlibudev-devel-cos6-x86_64”h#Œ147”h%Œh1795305_1101”h'MMhhh(h)hŒ3libudev-devel-cos6-x86_64-147-h1795305_1101.tar.bz2”h+Œ 0f323afaa7e5543ab41a674524685c49”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libudev-devel-cos6-x86_64-147-h1795305_1101.tar.bz2”h0Œ@163a1c1958d59f3a01d4c948893ddd638c951537e4c54f68e22ce6f75413667c”h2NhNh3Œlibudev-cos6-x86_64 147”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÄÇ¸•?}hEM=phFˆubh)”}”(hŒlibxau-devel-cos7-aarch64”h#Œ1.0.8”h%Œhdf0574f_102”h'Kfhhh(h)hŒ4libxau-devel-cos7-aarch64-1.0.8-hdf0574f_102.tar.bz2”h+Œ 856e7c71ed1c386a0eb47e4d83ee4be1”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libxau-devel-cos7-aarch64-1.0.8-hdf0574f_102.tar.bz2”h0Œ@2acfc2a906b284cd5fec1ebc89b52ff5e04f4ac22acd12e0d4f4d3dc1fb5843b”h2NhNh3Œ!libxau-cos7-aarch64 ==1.0.8 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ0Ct¼hEM]#hFˆubh)”}”(hŒaiida-nwchem”h#Œ2.1.0”h%Œpyhd8ed1ab_3”h'Khhh(h)hŒ'aiida-nwchem-2.1.0-pyhd8ed1ab_3.tar.bz2”h+Œ 14b81404c56da34b1e1616b5d8995396”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/aiida-nwchem-2.1.0-pyhd8ed1ab_3.tar.bz2”h0Œ@8f517720f956d842e141ca2f9acf2c82933b43694767c47405dc89daa75c8397”h2NhNh3Œ"aiida-core.atomic_tools >=1.2.1,<2”Œnumpy”Œpython >=3.7”‡”h6Œaiida-nwchem.code ==2.1.0”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ³d@\záhEM?>hFˆubh)”}”(hŒnengo-extras”h#Œ0.5.0”h%Œpyh8a188c0_0”h'K hhh(h)hŒ'nengo-extras-0.5.0-pyh8a188c0_0.tar.bz2”h+Œ efe3609ef19d17a417121f39ca3b7cd2”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/nengo-extras-0.5.0-pyh8a188c0_0.tar.bz2”h0Œ@5c87ffe8a9d4f581a58a33485c17791d6007baeb2b20278c78985ac8896ac93a”h2NhNh3(Œmako”Œmatplotlib-base”Œnengo”Œ	nengo-ocl”Œnumpy”Œpillow”Œpyopencl”Œpython >=3.6”t”h9h?h@ŒLicenseRef-NENGO”hDGAØyÌH'
=hEJÕ hFˆubh)”}”(hŒr-glm2”h#Œ1.2.1”h%Œr36_1003”h'Mëhhh(h)hŒr-glm2-1.2.1-r36_1003.tar.bz2”h+Œ 9249a909ee08d13d09aadf6abf0926fb”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/r-glm2-1.2.1-r36_1003.tar.bz2”h0Œ@2cac04c155e71da91d45a2f3c75d31011010d77894f87dc1229acdcf9f42205e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬•hEJ hFˆubh)”}”(hŒ!xorg-x11-proto-devel-cos7-aarch64”h#Œ2018.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ>xorg-x11-proto-devel-cos7-aarch64-2018.4-hdf0574f_1102.tar.bz2”h+Œ 08650753a113c3f542f6899851aef9e5”h.Œlhttps://conda.anaconda.org/conda-forge/noarch/xorg-x11-proto-devel-cos7-aarch64-2018.4-hdf0574f_1102.tar.bz2”h0Œ@891e1a6e13e4a9293214669ec3c4a38e3d0d0a2fb80098142fdd50aadb0a56f2”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å;š£dZhEJ†7 hFˆubh)”}”(hŒstarsessions”h#Œ2.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'starsessions-2.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 0860cf31e1431e8dca5599d6dc185d1d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/starsessions-2.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@daae61288cd6360d69cf4d46c1f9702a3734df9cadbad4f686ec9dd11059c93d”h2NhNh3Œitsdangerous >=2.0.1,<3.0.0”Œpython >=3.8.0,<4.0.0”Œstarlette >=0,<1”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÚôÁ3÷ÏhEMÛ>hFˆubh)”}”(hŒimpactutils”h#Œ0.8.40”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ'impactutils-0.8.40-pyhd8ed1ab_1.tar.bz2”h+Œ 29f44ba0fe24cb0b92d1e8bbc6b21e1c”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/impactutils-0.8.40-pyhd8ed1ab_1.tar.bz2”h0Œ@0db534cbc055647967a4c70ba3fbc23c4b7436c98ba2b5ca19c9a4d789c51fa6”h2NhNh3(Œbeautifulsoup4”Œcartopy”Œ
defusedxml”Œfiona”Œh5py”Œ
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setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ4¦–E¢hEM,hFˆubh)”}”(hŒmlflow-ui-dbg”h#Œ1.2.0”h%ja h'Khhh(h)hŒmlflow-ui-dbg-1.2.0-1.tar.bz2”h+Œ 8441557110368271de4550cf5f0ee7f2”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/mlflow-ui-dbg-1.2.0-1.tar.bz2”h0Œ@7c88ac25cd7ae367ec73a349735a7739bf404593a24fa8c42b6bb826ef28f867”h2NhNh3Œmlflow 1.2.0 py_1”…”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×dÃ§zŸ¾hEJŽ.~ hFˆubh)”}”(hŒcolcon-package-information”h#Œ0.3.3”h%Œpy_0”h'K hhh(h)hŒ-colcon-package-information-0.3.3-py_0.tar.bz2”h+Œ 82f578041449ad3b4332b4ea92c59c0a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/colcon-package-information-0.3.3-py_0.tar.bz2”h0Œ@ff0cfa8f687caa5441ac1be9d5cee6a59a4457598945e072227dc0effcda03d4”h2NhNh3Œcolcon-core”Œpython >=3.5”†”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGA×¡µu0bNhEMô>hFˆubh)”}”(hŒlibrdmacm-cos7-aarch64”h#Œ22.4”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ1librdmacm-cos7-aarch64-22.4-h9d98e8f_1104.tar.bz2”h+Œ 7c8baf51a8982915fbd0cf8d21da7277”h.Œ_https://conda.anaconda.org/conda-forge/noarch/librdmacm-cos7-aarch64-22.4-h9d98e8f_1104.tar.bz2”h0Œ@74565df8ff38a3d5165f2ace006241269c488f782cfc3353b9b9a14c8aa6cbd9”h2NhNh3Œ%libibverbs-cos7-aarch64 ==22.4 *_1104”Œ$rdma-core-cos7-aarch64 ==22.4 *_1104”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGA×É~,sSøhEJ‰ hFˆubh)”}”(hŒr-survminer”h#Œ0.4.9”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ'r-survminer-0.4.9-r42hc72bb7e_1.tar.bz2”h+Œ b018362cf7e5f2c8e524025d0e84e877”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-survminer-0.4.9-r42hc72bb7e_1.tar.bz2”h0Œ@8bbac6eeda35eb762be463fcca4149ad2b483c2a45a52d7bd42756d1d40ca716”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-broom”Œr-dplyr”Œ	r-ggplot2”Œr-ggpubr >=0.1.6”Œr-ggtext >=0.1.0”Œr-gridextra >=2.0”Œ
r-magrittr”Œ	r-maxstat”Œr-purrr”Œr-rlang”Œr-scales”Œ
r-survival”Œ
r-survmisc”Œr-tibble”Œr-tidyr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÓxÇ9‡hEJò÷/ hFˆubh)”}”(hŒr-lcars”h#Œ0.3.7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-lcars-0.3.7-r41hc72bb7e_0.tar.bz2”h+Œ 3242f5f79f3eed5fd94414f36a586d6b”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-lcars-0.3.7-r41hc72bb7e_0.tar.bz2”h0Œ@c3a1e77bb8c4d8471be04d40e365b79bdd9ff460b39c57564bdb5cf5e90cc9c1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œr-shiny”Œr-trekcolors”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ-¢ýŠ^5hEJÍê	 hFˆubh)”}”(hŒr-assertive.types”h#Œ0.0_3”h%Œr40hc72bb7e_1004”h'Mìhhh(h)hŒ0r-assertive.types-0.0_3-r40hc72bb7e_1004.tar.bz2”h+Œ f819d0a78d21060bc08fdc689e14a449”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-assertive.types-0.0_3-r40hc72bb7e_1004.tar.bz2”h0Œ@fb15c57a8304ba020c67fec53d8787dc5ded8a4b869db80c2d102bb2dfd1936c”h2NhNh3(Œr-assertive.base >=0.0_7”Œr-assertive.properties”Œr-base >=4.0,<4.1.0a0”Œr-codetools”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*ñ t9XhEJ×È hFˆubh)”}”(hŒr-mlr3measures”h#Œ0.5.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-mlr3measures-0.5.0-r42hc72bb7e_1.tar.bz2”h+Œ fc7df4b5232fb007a88803d75865818d”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-mlr3measures-0.5.0-r42hc72bb7e_1.tar.bz2”h0Œ@a61c5a847be741a833f553e3d9fd4175f4f8d7e54c434458237c3401a315fcbe”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-checkmate”Œr-prroc”‡”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÒ½:¾éyhEJè‚ hFˆubh)”}”(hŒtabulate”h#Œ0.8.9”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#tabulate-0.8.9-pyhd8ed1ab_0.tar.bz2”h+Œ ee657dbe69e892aeccde7cabb4edf261”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/tabulate-0.8.9-pyhd8ed1ab_0.tar.bz2”h0Œ@33b8144fc0673f8a7179b0e41f9b64abf17b5b4a70d33ab7ba221ecc275be17c”h2NhNh3Œpython ==2.7.*|>=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØí ¨bNhEMghFˆubh)”}”(hŒflask-restless”h#Œ1.0.0b1”h%Œpy_1”h'Khhh(h)hŒ#flask-restless-1.0.0b1-py_1.tar.bz2”h+Œ 18a9b367a9eacb8d907d96fc35e2ba68”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/flask-restless-1.0.0b1-py_1.tar.bz2”h0Œ@dee23cbb7d404bd39ce7b58af81f1c99d9bdfb79098ecc600db3df8095902147”h2NhNh3(Œflask >=0.10”Œmimerender >=0.5.2”Œpython”Œpython-dateutil >2.2”Œsqlalchemy >=0.8”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGAÖÑ¾`CohEJÚK hFˆubh)”}”(hŒr-anocva”h#Œ0.1.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-anocva-0.1.1-r42hc72bb7e_1.tar.bz2”h+Œ 8367b64d2bfc09213decb059a716cb14”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-anocva-0.1.1-r42hc72bb7e_1.tar.bz2”h0Œ@9f17c0308338259e927f7e7254aeebd12c5ca26643c671a6b474ac692fd28d8f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ	r-cluster”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒªiº^hEMuçhFˆubh)”}”(hŒalsa-lib-cos7-ppc64le”h#Œ1.1.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0alsa-lib-cos7-ppc64le-1.1.8-h9b0a68f_105.tar.bz2”h+Œ 0df63d66c14228af0c1b4358023ab0d6”h.Œ^https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos7-ppc64le-1.1.8-h9b0a68f_105.tar.bz2”h0Œ@02e64e7ca94d139c3629a1cb20200d29b74e810f180457aedc14790d3686dae4”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@†–ú\hEJ¹Ž hFˆubh)”}”(hŒjavapackages-tools-cos7-aarch64”h#Œ3.4.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ:javapackages-tools-cos7-aarch64-3.4.1-hdf0574f_102.tar.bz2”h+Œ 6823606bd29dac2f9ffb8f6768b4f0a1”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/javapackages-tools-cos7-aarch64-3.4.1-hdf0574f_102.tar.bz2”h0Œ@45bb4d662fd4aa85d6ea1aa6ec1ea2c40680121ef60965fa13c0c873c13e6ba6”h2NhNh3Œ.python-javapackages-cos7-aarch64 ==3.4.1 *_102”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ;ÒòhEMEÚhFˆubh)”}”(hŒr-egg”h#Œ0.4.5”h%Œr35h6115d3f_0”h'K hhh(h)hŒ!r-egg-0.4.5-r35h6115d3f_0.tar.bz2”h+Œ c1ab721f10360f8fef5f612ed3ccf665”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-egg-0.4.5-r35h6115d3f_0.tar.bz2”h0Œ@f7cf2fbace4050225a1e857034c7ac1ee0eddcaede4cc38375b3ec6c2a65f548”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œ	r-ggplot2”Œr-gridextra >=2.3”Œr-gtable”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×J`2ië…hEJƒÆ hFˆubh)”}”(hŒsktime”h#Œ0.10.0”h%Œpyh96770c2_0”h'K hhh(h)hŒ"sktime-0.10.0-pyh96770c2_0.tar.bz2”h+Œ 607925062bfec8c82f0eb6c715b942db”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/sktime-0.10.0-pyh96770c2_0.tar.bz2”h0Œ@3ce5b787d9db5fe9159824a179a3e0c7e531a997a21a9f34e748551befb152f4”h2NhNh3(Œdeprecated >=1.2.13”Œnumba >=0.50,<0.55”Œnumpy >=1.21.5,<2.0a0”Œpandas >=1.1.0,<1.5”Œpython”Œscikit-learn >=0.24.0”Œstatsmodels >=0.12.1”t”h6(Œprophet >=1.0”Œseaborn >=0.11.0”Œhcrystalball >=0.1.9”Œscikit-posthocs >=0.6.5”Œpmdarima >=1.8.0,!=1.8.1”Œmatplotlib-base >=3.3.2”Œtsfresh >=0.17.0”Œstumpy >=1.5.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ…õú¬hEJù#T hFˆubh)”}”(hŒcrc64iso”h#Œ0.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#crc64iso-0.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ 71483162a7630f9bd05d85ec96159f92”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/crc64iso-0.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@c5c43dd33de855f57698fa41464ffe01a04f063c900a2d4700b2ed070bbbd54e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ4At™ûçhEMZ!hFˆubh)”}”(hŒlibglvnd-gles-cos7-aarch64”h#Œ1.0.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libglvnd-gles-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h+Œ 8cd0a9e8b1efa5601796f1d9ec26bfb8”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libglvnd-gles-cos7-aarch64-1.0.1-h9b0a68f_105.tar.bz2”h0Œ@ad61821518d8bd989c732096e77743b73b1db975548602c0110642edd684bafb”h2NhNh3Œ#libglvnd-cos7-aarch64 ==1.0.1 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ZPÆÙhEM×³hFˆubh)”}”(hŒ	r-lsmeans”h#Œ2.30_0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ&r-lsmeans-2.30_0-r36h6115d3f_1.tar.bz2”h+Œ 10e25a8fb45d001aabbe1899561e406e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-lsmeans-2.30_0-r36h6115d3f_1.tar.bz2”h0Œ@2e528134781ac3cd4c0e892fedffb32da6c10a991634c5c92a616d6acbcefe1b”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-emmeans >=1.3”†”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×LK<IºhEMNÀhFˆubh)”}”(hŒfreetype-devel-cos7-aarch64”h#Œ2.8”h%Œha826a6f_1103”h'MOhhh(h)hŒ5freetype-devel-cos7-aarch64-2.8-ha826a6f_1103.tar.bz2”h+Œ d6661d1a2925f66e74d12f0f3b0fcbc1”h.Œchttps://conda.anaconda.org/conda-forge/noarch/freetype-devel-cos7-aarch64-2.8-ha826a6f_1103.tar.bz2”h0Œ@cde4be7da55256f0f44bd9067d0b597c01d850fdfcb189622f4ca8e77199299a”h2NhNh3Œ"freetype-cos7-aarch64 ==2.8 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒO(FTL or GPLv2+) and BSD and MIT and Public Domain and zlib with acknowledgement”hBŒGPL2”hDGA×Æ1¥É%hEJÍK hFˆubh)”}”(hŒpydeprecate”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&pydeprecate-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 42926d3d9945b1212fc0acbd6a5624ad”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/pydeprecate-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@7a62051c2b518ebad2e126725fe506c349ea99f57652ec34c402ce139e61be03”h2NhNh3Œpython >=3.6”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ-UcçmhEM_4hFˆubh)”}”(hŒsystemd-libs-cos7-aarch64”h#Œ219”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2systemd-libs-cos7-aarch64-219-h9b0a68f_105.tar.bz2”h+Œ e0bda78eb20a8b87ae26cf70cd600ab4”h.Œ`https://conda.anaconda.org/conda-forge/noarch/systemd-libs-cos7-aarch64-219-h9b0a68f_105.tar.bz2”h0Œ@a0dc2280b1f9cefc2ef2fdfc36dc9d403983a6d500bc1d64ee466741b0e7d17c”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2+ and MIT”hBŒLGPL”hDGAØ@WÐÊn˜hEJf hFˆubh)”}”(hŒopenpyxl”h#Œ2.6.4”h%Œpy_0”h'K hhh(h)hŒopenpyxl-2.6.4-py_0.tar.bz2”h+Œ 3769d857e29fedd6e8b98f729e5a614d”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/openpyxl-2.6.4-py_0.tar.bz2”h0Œ@90347c85834f67c9a798599642e78fee798bd4e82546ee034ac6e45bf41b0310”h2NhNh3Œ
et_xmlfile”Œjdcal”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×bãl‹hEJÿa hFˆubh)”}”(hŒatk-cos6-x86_64”h#Œ1.30.0”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ,atk-cos6-x86_64-1.30.0-h9d98e8f_1104.tar.bz2”h+Œ fdca6088851b990854a66d91e1061fbf”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/atk-cos6-x86_64-1.30.0-h9d98e8f_1104.tar.bz2”h0Œ@514ef89eebdf0f887d67fd6dc263444e7c5e917acb8945f87041f7df448eadff”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×ÉyI±ûçhEJ‘ÿ hFˆubh)”}”(hŒlibsm-cos6-x86_64”h#Œ1.2.1”h%Œha826a6f_1103”h'MOhhh(h)hŒ-libsm-cos6-x86_64-1.2.1-ha826a6f_1103.tar.bz2”h+Œ 4f1a106c1357a786911f91f8f5db2deb”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libsm-cos6-x86_64-1.2.1-ha826a6f_1103.tar.bz2”h0Œ@6f6565c8ba7d7149747d928a25c05c907dd57d2c4b0b99468407dfd8b69cd026”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{oé™šhEMq†hFˆubh)”}”(hŒchainmap”h#Œ1.0.3”h%Œpy_0”h'K hhh(h)hŒchainmap-1.0.3-py_0.tar.bz2”h+Œ ea982eaf8392a5b65ed6c5f2f447d2ff”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/chainmap-1.0.3-py_0.tar.bz2”h0Œ@17fd3954a2456a1e13d3e8bd89a5e7e616f8dcba7c62c79f96fdaae2f6c061fa”h2NhNh3Œpython”…”h9h?h@ŒPSFL”hDGA×2·ƒhEM¡6hFˆubh)”}”(hŒ	r-sigmajs”h#Œ0.1.5”h%Œr36h142f84f_0”h'K hhh(h)hŒ%r-sigmajs-0.1.5-r36h142f84f_0.tar.bz2”h+Œ 7c019a39dfcbcd49f4f4700bc9be657c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sigmajs-0.1.5-r36h142f84f_0.tar.bz2”h0Œ@ea442154cd65d02c64eb980a6ac1124d37bf19e1e151af35b850e7c1cef76456”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-crosstalk”Œr-dplyr >=0.7.0”Œr-htmltools”Œr-htmlwidgets”Œr-igraph”Œ
r-jsonlite”Œ
r-magrittr”Œr-purrr”Œr-scales”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGA×á^'¾whEJ+t hFˆubh)”}”(hŒr-mosaic”h#Œ1.8.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-mosaic-1.8.4.2-r41hc72bb7e_0.tar.bz2”h+Œ d5c71a82660931d8a721b7612f2126c5”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mosaic-1.8.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@b10f3347e26dc7bc7d7f1e6d3cb3ebbe53fbfb0edc374c5769a5483bf021c04a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-broom”Œr-dplyr”Œ
r-ggdendro”Œr-ggformula”Œ	r-ggplot2”Œ	r-ggrepel”Œ
r-ggridges”Œ
r-ggstance”Œr-glue”Œr-gridextra”Œr-lattice >=0.20_21”Œr-latticeextra”Œ	r-leaflet”Œr-mass”Œr-matrix”Œr-mosaiccore >=0.7.0”Œr-mosaicdata”Œr-readr”Œr-rlang >=0.4.7”Œr-tidyr”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØËcÕhEJßþ0 hFˆubh)”}”(hŒpciutils-devel-cos7-ppc64le”h#Œ3.5.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ7pciutils-devel-cos7-ppc64le-3.5.1-h9d98e8f_1104.tar.bz2”h+Œ e5933e2b039513e56a8867d575dfbc85”h.Œehttps://conda.anaconda.org/conda-forge/noarch/pciutils-devel-cos7-ppc64le-3.5.1-h9d98e8f_1104.tar.bz2”h0Œ@c0a41cf23eecc57d9015caa80a04bc9debdb42caa2986669a477d10694b62352”h2NhNh3Œ$pciutils-cos7-ppc64le ==3.5.1 *_1104”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×É~ßâ=qhEMŒyhFˆubh)”}”(hŒr-mhadaptive”h#Œ1.1_8”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ,r-mhadaptive-1.1_8-r351h6115d3f_1000.tar.bz2”h+Œ 1480d89869d0b3099ca7927ce5beee14”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-mhadaptive-1.1_8-r351h6115d3f_1000.tar.bz2”h0Œ@2e740a87d005a39b8008f2a13b570fd21a66e54512f281a7fabc7569f69bf9b0”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-mass”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAÖüøÄöéyhEJK‰ hFˆubh)”}”(hŒr-sparselda”h#Œ0.1_9”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ*r-sparselda-0.1_9-r35h6115d3f_1001.tar.bz2”h+Œ b7348d800aedd7432f80990207685939”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-sparselda-0.1_9-r35h6115d3f_1001.tar.bz2”h0Œ@8d43ba317da8e69276d51a5c351d22d2dc4ba08b23ec8e9e5b4fceed03399f9a”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-elasticnet”Œr-mass”Œr-mda”t”h9hºh@Œ
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GPL (>= 2)”hBŒGPL3”hDGAÖüm9Â=qhEM™hFˆubh)”}”(hŒr-dosnow”h#Œ1.0.20”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-dosnow-1.0.20-r40hc72bb7e_0.tar.bz2”h+Œ ddf8bfb6972c3c0e43a306d35d3a7e2c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dosnow-1.0.20-r40hc72bb7e_0.tar.bz2”h0Œ@e62c8b889a49336489cbe89069cdd006f9d6c7499106673f409130ed07e9028d”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-foreach >=1.2.0”Œr-iterators >=1.0.0”Œr-snow >=0.3.0”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØ\IB°!hEMÎœhFˆubh)”}”(hŒr-optimr”h#Œ
2019_12.16”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ)r-optimr-2019_12.16-r42hc72bb7e_2.tar.bz2”h+Œ 1eefcc7019c6c130e5a142c8b546712d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-optimr-2019_12.16-r42hc72bb7e_2.tar.bz2”h0Œ@ca3508e47a756ef000b5aea9a8494accbb551073f39055c9c1a343776c0dfa56”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-numderiv”Œr-optextras”Œr-rcgmin”Œr-rvmmin”Œr-setrng”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÒ>±j=qhEJ: hFˆubh)”}”(hŒlibxml2-cos7-ppc64le”h#Œ2.9.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libxml2-cos7-ppc64le-2.9.1-h9d98e8f_1104.tar.bz2”h+Œ 710aa9c40c673614497879ac4abfd729”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxml2-cos7-ppc64le-2.9.1-h9d98e8f_1104.tar.bz2”h0Œ@9e95287a4a7fecd93b89afc0f464735c8ba49f7a257c740a462aedb9150252ea”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{‰XhEJÄ hFˆubh)”}”(hŒ	r-biomark”h#Œ0.4.5”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ(r-biomark-0.4.5-r40h6115d3f_1003.tar.bz2”h+Œ d9cb22539c353e775cac06808eb8546c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-biomark-0.4.5-r40h6115d3f_1003.tar.bz2”h0Œ@ac81266797d2f024984ffaa5d9f4580916daf2a9c3ebd6d45c0833a678f510a6”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-glmnet”Œr-mass”Œr-pls”Œr-st >=1.1.6”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×­)¼IºhEJ6ñ hFˆubh)”}”(hŒalsa-lib-cos7-aarch64”h#Œ1.1.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0alsa-lib-cos7-aarch64-1.1.8-h9b0a68f_105.tar.bz2”h+Œ 4d07bd17f307b3736ef44ad3ac3fc691”h.Œ^https://conda.anaconda.org/conda-forge/noarch/alsa-lib-cos7-aarch64-1.1.8-h9b0a68f_105.tar.bz2”h0Œ@32165ce1ce7b442b305d443832079a81de68d2b7b4afa60ef88056d8548840c7”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@VfÈ´hEJ5K hFˆubh)”}”(hŒ	r-shinybs”h#Œ0.61.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-shinybs-0.61.1-r41hc72bb7e_0.tar.bz2”h+Œ 58dda7979e59d7a6f1a2e5b74296cafe”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-shinybs-0.61.1-r41hc72bb7e_0.tar.bz2”h0Œ@e6332f2e914e5346cd097e7c6eb48cdecf5dd865521efc5d21958424ee57e6a2”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-htmltools”Œr-shiny >=0.11”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ—ërxå`hEJnæ hFˆubh)”}”(hŒr-assertive.reflection”h#Œ0.0_5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ2r-assertive.reflection-0.0_5-r41hc72bb7e_1.tar.bz2”h+Œ a9a0125921dadf3a2291293786ed605c”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.reflection-0.0_5-r41hc72bb7e_1.tar.bz2”h0Œ@ea537c870df301cdc38d7dc916632d12ac141ddf78b7820eb6668d0a690f6f5d”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑJChEJ7 hFˆubh)”}”(hŒlbmpy-walberla”h#Œ0.2.11”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ*lbmpy-walberla-0.2.11-pyhd8ed1ab_1.tar.bz2”h+Œ 68ec6d00d901920f1605341cec987eec”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/lbmpy-walberla-0.2.11-pyhd8ed1ab_1.tar.bz2”h0Œ@a98b8c3a9d5db926ea674b27eeec0d1ff4c119968dbb275e0af031f13798d454”h2NhNh3Œlbmpy”Œpystencils-walberla”Œpython >=3.6”‡”h9h?h@ŒAGPL-3.0-or-later”hBŒGPL”hDGAØ3)zÁÛ#hEM¿zhFˆubh)”}”(hŒcmiles”h#Œ0.1.6”h%Œ
ha770c72_2”h'Khhh(h)hŒcmiles-0.1.6-ha770c72_2.tar.bz2”h+Œ 34c0467eb395fd797030245d83e10b60”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/cmiles-0.1.6-ha770c72_2.tar.bz2”h0Œ@a233bff04c1d36d1b65f2a53d40d2aad537bc0c12520abf195f22f13914d65bf”h2NhNh3Œcmiles-base >=0.1.6,<0.1.7.0a0”Œrdkit”†”h9h?h@ŒMIT”hBŒMIT”hDGA×ïª\(öhEMÒhFˆubh)”}”(hŒr-gifti”h#Œ0.8.0”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ#r-gifti-0.8.0-r42hc72bb7e_0.tar.bz2”h+Œ 20c2b5bfafe00b9f2cfbf5489d1c05b5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gifti-0.8.0-r42hc72bb7e_0.tar.bz2”h0Œ@72cf2c9792b77967695cf61d2ad634a032ad105fad0fe1933ec772ca94aee3fe”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-base64enc”Œ	r-r.utils”Œr-xml2 >=1.1.1”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØØŒó¥ãhEJzO hFˆubh)”}”(hŒ
r-settings”h#Œ0.2.7”h%Œr41h785f33e_1”h'Khhh(h)hŒ&r-settings-0.2.7-r41h785f33e_1.tar.bz2”h+Œ 0ac7433f0e427efca4ac39919fcf6d5a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-settings-0.2.7-r41h785f33e_1.tar.bz2”h0Œ@767557e7c04267273b75807da66e3cb1ae34a489fbd8aa5b9ac2073d1adb4848”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL”hDGAØÑLeÿïžhEJ¯- hFˆubh)”}”(hŒdbt-postgres”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'dbt-postgres-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 02e1073da0480926248761392f33c187”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/dbt-postgres-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f1667c02d655c03578238d74b637242b96da7aa0ae3ba5ab0b1aeca9cb6988cf”h2NhNh3Œdbt-core 1.0.0 pyhd8ed1ab_0”Œpsycopg2-binary ~=2.8”Œpython >=3.7”‡”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØlŸHúMÓhEMÑQhFˆubh)”}”(hŒr-gifti”h#Œ0.8.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-gifti-0.8.0-r41hc72bb7e_0.tar.bz2”h+Œ 591fc05423f416f8d35940d06d27b216”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-gifti-0.8.0-r41hc72bb7e_0.tar.bz2”h0Œ@32585729fa257f6aa1bb89ca45c87ad8350b011b28249829f68a231e86953188”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-base64enc”Œ	r-r.utils”Œr-xml2 >=1.1.1”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØØ‘à1'hEJ9O hFˆubh)”}”(hŒwabisabi”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#wabisabi-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ f574b60d1de77e99f04e53e82d4481bd”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/wabisabi-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@a1c836f97217418bbb8f75742c085033260ed31f48ecb5ef31b2f1d1f57c3468”h2NhNh3Œ	packaging”Œpython >=3.8”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ×¨$Ù7LhEM~NhFˆubh)”}”(hŒr-inline”h#Œ0.3.19”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ%r-inline-0.3.19-r41hc72bb7e_1.tar.bz2”h+Œ 68dd1908c60e81e2b0989afbaa2d8ef4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-inline-0.3.19-r41hc72bb7e_1.tar.bz2”h0Œ@33dfc825a0845f6955991711e780dbdb80c15ee84ad41ce121206f6bbe9b23c4”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØÐwÞê-hEJmF hFˆubh)”}”(hŒrelated”h#Œ0.7.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"related-0.7.3-pyhd8ed1ab_0.tar.bz2”h+Œ 5660ae24e592fbeea425e649b10553f0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/related-0.7.3-pyhd8ed1ab_0.tar.bz2”h0Œ@c3b75f9b8641a33a6fee5bea78b2b8e81a3e84994cfda4082ac36b3e847093a3”h2NhNh3(Œattrs”Œfuture”Œpython >=3.6”Œpython-dateutil”Œpyyaml”Œsingledispatch”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÁ-ÁøƒhEMCKhFˆubh)”}”(hŒr-rclone”h#Œ1.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-rclone-1.0.3-r41hc72bb7e_1.tar.bz2”h+Œ 2856f6a1a5a2beba313e814cda34fd61”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rclone-1.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@454cbe47c183496a19babc0198716f62a93f64ecb8a9fd29d7c3d74dd9422696”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ'Ý©‰7hEJ¿Ë< hFˆubh)”}”(hŒ	rb-pastel”h#Œ0.8.0”h%j3G h'K hhh(h)hŒrb-pastel-0.8.0-0.tar.bz2”h+Œ 4cad1aa4dbe57531ec5e31dc9462a585”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/rb-pastel-0.8.0-0.tar.bz2”h0Œ@3d9d029aa33cd32dce79e51764a0d761f90081393a90c87b603efc3177b7b20a”h2NhNh3Œrb-equatable >=0.6,<1”Œrb-tty-color >=0.5,<1”Œ
ruby >=2.5”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Ç¿¯¸ÄœhEMwhFˆubh)”}”(hŒ
lume-epics”h#Œ1.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%lume-epics-1.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ de13efbf542c490d0c66db9dc478860e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/lume-epics-1.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@a87c141ff0cc6df017879ea750a26d37998bc9b93697012fe5a04b88cc16e1a3”h2NhNh3(Œbokeh”Œclick”Œ
epics-base”Œlume-model >=1.4”Œnose >=1.1.2”Œnumpy”Œp4p”Œpcaspy”Œpyepics”Œpython >=3.7”t”h9h?h@Œ	SLAC Open”hBŒOTHER”hDGAØ¨õ<ÔþhEMP„hFˆubh)”}”(hŒkernel-headers-cos7-aarch64”h#Œ4.18.0”h%Œhdf0574f_102”h'Kfhhh(h)hŒ7kernel-headers-cos7-aarch64-4.18.0-hdf0574f_102.tar.bz2”h+Œ c90a9bf0035d41ac8f84429768258b3c”h.Œehttps://conda.anaconda.org/conda-forge/noarch/kernel-headers-cos7-aarch64-4.18.0-hdf0574f_102.tar.bz2”h0Œ@89e719583a66f42a410d430f5a8a708d24e76026009027ccefdb843facfaf321”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@Œ4GPLv2 and Redistributable, no modification permitted”hBŒGPL2”hDGA×Å+ €å`hEJ¼9 hFˆubh)”}”(hŒdoit-with-all”h#Œ0.36.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)doit-with-all-0.36.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1135e39ed645f15c47d41a7216d439c3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/doit-with-all-0.36.0-pyhd8ed1ab_0.tar.bz2”h0Œ@13f136013accf714c6726f8e4a383e00d718ab08c1af8cce5843b861dc7c0dc7”h2NhNh3Œ#doit-with-toml >=0.36.0,<0.36.1.0a0”Œpython >=3.8”†”h9h?hDGAØ˜¶Zã•hEM'¾hFˆubh)”}”(hŒ
r-rvertnet”h#Œ0.8.2”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-rvertnet-0.8.2-r41hc72bb7e_1.tar.bz2”h+Œ f41033617ed1aa7f1142dda40cae6e0f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-rvertnet-0.8.2-r41hc72bb7e_1.tar.bz2”h0Œ@ab2867247b15a8efbd496f49bf4c2f0f7a498b6174a695355fbf334500c677bd”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crul >=0.5.2”Œr-dplyr >=0.5.0”Œ	r-ggplot2”Œr-jsonlite >=1.5”Œr-maps”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÑ€ž¸RhEJˆ hFˆubh)”}”(hŒmesa-libgl-cos7-aarch64”h#Œ18.3.4”h%Œh1795305_101”h'Kehhh(h)hŒ3mesa-libgl-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h+Œ c123191f5197829cd535aa944a47c834”h.Œahttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-aarch64-18.3.4-h1795305_101.tar.bz2”h0Œ@0244d7fa3f93771a2a810a2386430d0004d2dbcd87fee812afd8f0b87e9a3e12”h2NhNh3Œlibdrm-cos7-aarch64 >=2.4.83”Œ!mesa-libglapi-cos7-aarch64 18.3.4”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åb(r°hEJk hFˆubh)”}”(hŒr-varfrompdb”h#Œ2.2.10”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-varfrompdb-2.2.10-r41hc72bb7e_0.tar.bz2”h+Œ f9457a4e173460035e954650fcea4512”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-varfrompdb-2.2.10-r41hc72bb7e_0.tar.bz2”h0Œ@f16b1095adcc65f84cb9e01e174cdfc42c6e35088ecf40c65c5472474512b0b6”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-curl”Œr-rismed”Œ	r-stringi”Œ	r-stringr”Œr-xml”Œr-xml2r”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØa¹ñjhEJ° hFˆubh)”}”(hŒlibsm-devel-cos7-aarch64”h#Œ1.2.2”h%Œha826a6f_103”h'Kghhh(h)hŒ3libsm-devel-cos7-aarch64-1.2.2-ha826a6f_103.tar.bz2”h+Œ ae0dfb71f6a2ff535dddff7bdc023962”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-aarch64-1.2.2-ha826a6f_103.tar.bz2”h0Œ@8f4e1b90019b32dede5f2ff53e39942c61549ffd1b0b6a258a6674b2cdab41f5”h2NhNh3Œ libsm-cos7-aarch64 ==1.2.2 *_103”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ{{ðÔþhEMX"hFˆubh)”}”(hŒ	r-dtangle”h#Œ2.0.9”h%Œr36h6115d3f_1”h'Khhh(h)hŒ%r-dtangle-2.0.9-r36h6115d3f_1.tar.bz2”h+Œ a51e4f0559d61bea25fda80d34a2bfb0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dtangle-2.0.9-r36h6115d3f_1.tar.bz2”h0Œ@1aaf33b6db1b5c4988e9932b5ca3b83606fc0d50959f1b9b3b133694fb0452e9”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-deoptimr”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬Þ°Ü(öhEJÓt hFˆubh)”}”(hŒr-skewhyperbolic”h#Œ0.4_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ,r-skewhyperbolic-0.4_0-r40hc72bb7e_0.tar.bz2”h+Œ c026ba0b352868db818c7beea2eb8ecd”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-skewhyperbolic-0.4_0-r40hc72bb7e_0.tar.bz2”h0Œ@3d23bdea77fb4096b1e8e56be969344625b8ae51b3f416efdd5e40319aa77414”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-distributionutils”Œr-generalizedhyperbolic”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØzK!Ä(öhEJØü hFˆubh)”}”(hŒr-dmwr”h#Œ0.4.1”h%Œr42hc72bb7e_1004”h'Mìhhh(h)hŒ%r-dmwr-0.4.1-r42hc72bb7e_1004.tar.bz2”h+Œ a99c2fade5e7073df57c320adaa4c3d4”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dmwr-0.4.1-r42hc72bb7e_1004.tar.bz2”h0Œ@e264d3d8464fe63d9e61f4cfa3cf525602bab6258b3a8450f7e386947201bb6c”h2NhNh3(Œr-abind >=1.1_0”Œr-base >=4.2,<4.3.0a0”Œr-class >=7.3_1”Œr-lattice >=0.18_3”Œr-quantmod >=0.3_8”Œr-rocr >=1.0”Œr-rpart >=3.1_46”Œr-xts >=0.6_7”Œr-zoo >=1.6_4”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒŠèqº^hEJÉ*3 hFˆubh)”}”(hŒr-objectsignals”h#Œ0.10.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-objectsignals-0.10.3-r42hc72bb7e_1.tar.bz2”h+Œ 61c553eb53a4fa20d46c8cea5a07712b”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-objectsignals-0.10.3-r42hc72bb7e_1.tar.bz2”h0Œ@5113e1aaebfd52fc342b7b04a8d0806d82276d8a0bb06999c362b229b3cf9090”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ”¤½VhEJMy hFˆubh)”}”(hŒr-tsoutliers”h#Œ0.6_8”h%Œr36h6115d3f_0”h'K hhh(h)hŒ(r-tsoutliers-0.6_8-r36h6115d3f_0.tar.bz2”h+Œ 81bb4b62c9412738083849b47db7ddea”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tsoutliers-0.6_8-r36h6115d3f_0.tar.bz2”h0Œ@97012ec686a2da1a4717aa2179928df3b640f79264f0f3962794c149ec736f51”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-forecast”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ußåÒòhEJ Ÿ hFˆubh)”}”(hŒlibxt-devel-cos7-ppc64le”h#Œ1.1.5”h%Œ
h1341992_1”h'Khhh(h)hŒ1libxt-devel-cos7-ppc64le-1.1.5-h1341992_1.tar.bz2”h+Œ f078e1615630d8e868e943c816ea9b85”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libxt-devel-cos7-ppc64le-1.1.5-h1341992_1.tar.bz2”h0Œ@abb2016e92b7f6881540eb4fb1027cb312f10680c178ca62dc53a7ca2beebd08”h2NhNh3Œ#libxt-cos7-ppc64le 1.1.5 h1341992_1”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×£äãÔ9XhEJ®
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python-rex”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#python-rex-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ f93d31491b3539d290817ad47d068a23”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/python-rex-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@eda32cd1d6731626ce4ed42d0dae197c10d461df6131814f1a7025f77fad38f8”h2NhNh3Œpython >=3.6”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ®gØp¤hEMAhFˆubh)”}”(hŒr-naepprimer”h#Œ1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-naepprimer-1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ bef22974fe3386b8ebb2a7db47aba956”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-naepprimer-1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@18710a23d4d8ace7acf40229ee3f72984dbbfd5a2bd8cf3a044ff1a6e37d2618”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ›œ’^5hEJ£" hFˆubh)”}”(hŒaplpy”h#Œ2.0.3”h%Œpy_1”h'Khhh(h)hŒaplpy-2.0.3-py_1.tar.bz2”h+Œ c487f819ae8af97dfb597a63c7595929”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/aplpy-2.0.3-py_1.tar.bz2”h0Œ@bbfe7a70780d2659358954ec9734913bcd6830e994b73cf80b20e29ac8ab392e”h2NhNh3(Œastropy >=3.1”Œmatplotlib-base >=2.0”Œnumpy”Œpillow >=4.0”Œpyavm >=0.9.4”Œpyregion >=2.0”Œpython >=3.5”Œreproject >=0.4”Œscikit-image >=0.14”Œshapely >=1.6”t”h9h?h@ŒMIT”hBŒMIT”hDGA×¯üØÚ=qhEMÛÓhFˆubh)”}”(hŒp11-kit-trust-cos7-aarch64”h#Œ0.23.5”h%Œhdf0574f_1102”h'MNhhh(h)hŒ7p11-kit-trust-cos7-aarch64-0.23.5-hdf0574f_1102.tar.bz2”h+Œ ef7aed974dae8ba93f5b601fa68105d1”h.Œehttps://conda.anaconda.org/conda-forge/noarch/p11-kit-trust-cos7-aarch64-0.23.5-hdf0574f_1102.tar.bz2”h0Œ@36826f4e23e41f7fe79b331531ca18788c65adc806cd60384c16f72f6d1af9d8”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅâJ8bhEJ] hFˆubh)”}”(hŒ
mantichora”h#Œ0.12.0”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ&mantichora-0.12.0-pyh6c4a22f_0.tar.bz2”h+Œ 4f3fe3999eeba0e5b23bb1572f7cf6d1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/mantichora-0.12.0-pyh6c4a22f_0.tar.bz2”h0Œ@1897c557c5e57f14fbf408426fea85fcf39f76fdc8db2a071bf353e338c06ab0”h2NhNh3Œatpbar >=1.0.2”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ(fÚiG®hEMO;hFˆubh)”}”(hŒlibselinux-cos7-x86_64”h#Œ2.5”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libselinux-cos7-x86_64-2.5-h9d98e8f_1104.tar.bz2”h+Œ e23c42859294468fe657c1bb40dfa408”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libselinux-cos7-x86_64-2.5-h9d98e8f_1104.tar.bz2”h0Œ@c7dbd646de72502f3c267108f9c4b968d2acd8eb7088360d18860b1d08fb5ee8”h2NhNh3Œ!libsepol-cos7-x86_64 >=2.5 *_1104”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒPublic-Domain”hBŒPublic-Domain”hDGA×É|{4“hEJ£} hFˆubh)”}”(hŒ
cartotools”h#Œ1.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%cartotools-1.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ 1a22005dc1f1c83b82c197715178856f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/cartotools-1.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@fa679dd698c3c3340fcf4c3639b35bc58f30c646ffc973f4d97710af7f95d63c”h2NhNh3(Œappdirs”Œcartopy”Œnumpy >=1.18”Œpandas”Œpillow”Œpyproj >=2.0”Œpython >=3.6”Œrequests”Œshapely”t”h9h?h@ŒMIT”hBŒMIT”hDGA×ûë…D“hEMðEhFˆubh)”}”(hŒmesa-dri-drivers-cos6-x86_64”h#Œ11.0.7”h%Œhdf0574f_102”h'Kfhhh(h)hŒ8mesa-dri-drivers-cos6-x86_64-11.0.7-hdf0574f_102.tar.bz2”h+Œ fa123e788d9b88b3ee2f053857a21719”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/mesa-dri-drivers-cos6-x86_64-11.0.7-hdf0574f_102.tar.bz2”h0Œ@435848fb287722a6ef3339e3d0c829b09162b839368401d346004f7abb8e815e”h2NhNh3Œ*mesa-dri1-drivers-cos6-x86_64 >=7.11 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+2X ÅhEJpƒJhFˆubh)”}”(hŒdjango-widget-tweaks”h#Œ1.4.5”h%Œpy_0”h'K hhh(h)hŒ'django-widget-tweaks-1.4.5-py_0.tar.bz2”h+Œ 4d7ab81925b3a78e291751976e785d35”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/django-widget-tweaks-1.4.5-py_0.tar.bz2”h0Œ@c93cee6aa13a28da7054ba1b8d37f8d25bed65db542409943a157f104b719434”h2NhNh3Œdjango”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGA×A<š$9XhEMð1hFˆubh)”}”(hŒgtkmm24-cos7-aarch64”h#Œ2.24.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ1gtkmm24-cos7-aarch64-2.24.5-ha826a6f_1103.tar.bz2”h+Œ 17928b19b93af0d20e58c72de0dcfeda”h.Œ_https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos7-aarch64-2.24.5-ha826a6f_1103.tar.bz2”h0Œ@4bffdee5648c5161ed518b24cea46050d7f71312084ae5a9c6f29b4001f2fbc1”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{èƒhEJS hFˆubh)”}”(hŒr-sparsepca”h#Œ0.1.2”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ'r-sparsepca-0.1.2-r42hc72bb7e_2.tar.bz2”h+Œ 2c99026684ed4267c469eae641cea3b4”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-sparsepca-0.1.2-r42hc72bb7e_2.tar.bz2”h0Œ@ff24e91b2cec963aadba15aca8ce62d91a73ad257f4861160d1c6c1bbee9126c”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-rsvd”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ§µ`BhEJƒ hFˆubh)”}”(hŒ
fenics-ffc”h#Œ2019.1.0”h%Œpy_4”h'Khhh(h)hŒ fenics-ffc-2019.1.0-py_4.tar.bz2”h+Œ 164f4af434ac221f7174a13d1baf0cbd”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/fenics-ffc-2019.1.0-py_4.tar.bz2”h0Œ@5232daf455c6f222547e2ce3a56aab7d88fbd494f12fdaa3211414465d69664a”h2NhNh3(Œfenics-dijitso 2019.1.0”Œfenics-fiat 2019.1.0”Œfenics-ufl 2019.1.0”Œnumpy”Œpython >=3.5”t”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×P¤3t¼hEJIé hFˆubh)”}”(hŒskipatom”h#Œ1.2.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#skipatom-1.2.5-pyhd8ed1ab_0.tar.bz2”h+Œ 54defecb64ab3ec2d652529eb7eb5ba4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/skipatom-1.2.5-pyhd8ed1ab_0.tar.bz2”h0Œ@00e7f6f8c43720c97d3bd057429c8eacde4550249a83b0a12a5efbefc6a64098”h2NhNh3Œnumpy >=1.18.5”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ´Ný¸hEMI=hFˆubh)”}”(hŒprettyprinter”h#Œ0.18.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)prettyprinter-0.18.0-pyhd8ed1ab_0.tar.bz2”h+Œ 65a46bc8c7dd63974f39b1ea9968d781”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/prettyprinter-0.18.0-pyhd8ed1ab_0.tar.bz2”h0Œ@af99a708307e2f061a0701f58e5e1cd16601c78e563d0182383a5a36f4d76642”h2NhNh3Œcolorful >=0.4.0”Œpygments >=2.2.0”Œpython >=3.5”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ+’²»SøhEMK–hFˆubh)”}”(hŒansible-kernel”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)ansible-kernel-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ f3eaf0a010399d0b8f08e7fa57322f05”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/ansible-kernel-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@e11ae8a33caa521559fa09c1b209255c1c3d0f21ba926c616f37fc6bc46584a6”h2NhNh3(Œansible”Œansible-runner >=1.1.0”Œdocopt”Œ
ipywidgets”Œpsutil”Œpython >=3.6”Œpyyaml”Œsix”Œtqdm”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÈèLIºhEJIZ hFˆubh)”}”(hŒ
r-ggridges”h#Œ0.5.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-ggridges-0.5.4-r42hc72bb7e_1.tar.bz2”h+Œ 962e089801dee5e16becd5a9e3559745”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-ggridges-0.5.4-r42hc72bb7e_1.tar.bz2”h0Œ@e7ee4e77a21a892392cb4e392bf33e3fd3629c4d402b5521d8e269f4b49fefd9”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-ggplot2 >=3.0.0”Œr-plyr >=1.8.0”Œr-scales >=0.4.1”Œr-withr >=2.1.1”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGAØÑ‚Ó•hEJÂ" hFˆubh)”}”(hŒlibxau-cos7-aarch64”h#Œ1.0.8”h%Œ
h1341992_0”h'K hhh(h)hŒ,libxau-cos7-aarch64-1.0.8-h1341992_0.tar.bz2”h+Œ 28a7101d2d0d42860a9579b32461fb75”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libxau-cos7-aarch64-1.0.8-h1341992_0.tar.bz2”h0Œ@0d439d49994564d6fe3e68dc152bd17ec376f838b338a7522920f6a9fdcb4577”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒX11”hBŒMIT”hDGA×ZDî©&éhEMŸ`hFˆubh)”}”(hŒ
fenics-ufl”h#Œ2019.1.0”h%Œpyhd8ed1ab_16”h'Khhh(h)hŒ)fenics-ufl-2019.1.0-pyhd8ed1ab_16.tar.bz2”h+Œ d345180688faa6fa90856a75cd5849dd”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2019.1.0-pyhd8ed1ab_16.tar.bz2”h0Œ@0a18360ab8ced506e9b6d5b62d664b1fe42223971abe74089608a456d6414f38”h2NhNh3Œnumpy”Œpython >=3.5”Œ
setuptools”‡”h6Œfenics ==2019.1.0”…”h9h?h@ŒLGPL 3.0”hDGA×ø‡Í A‰hEJñŸ hFˆubh)”}”(hŒopentelemetry-util-http”h#Œ0.28b0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ3opentelemetry-util-http-0.28b0-pyhd8ed1ab_0.tar.bz2”h+Œ 525a32e26caed57900d86d8b3212a771”h.Œahttps://conda.anaconda.org/conda-forge/noarch/opentelemetry-util-http-0.28b0-pyhd8ed1ab_0.tar.bz2”h0Œ@c66df9a07f43b305f9aa5e3c4cdff4c6be47abbc9a31013bb5ef86cfa4725f05”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ|—ðùÛhEM¿4hFˆubh)”}”(hŒ
r-threeway”h#Œ1.1.3”h%Œr36h6115d3f_1001”h'Méhhh(h)hŒ)r-threeway-1.1.3-r36h6115d3f_1001.tar.bz2”h+Œ c51179a61985bca950c5b07561932fcb”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-threeway-1.1.3-r36h6115d3f_1001.tar.bz2”h0Œ@22cdf3246a7a1f3fb4703e36b06f158fb3b96e9d936c50855115743f072e583e”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L¢&éhEJ× hFˆubh)”}”(hŒr-clipr”h#Œ0.8.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-clipr-0.8.0-r40hc72bb7e_0.tar.bz2”h+Œ 844b86865294b2e507b732f1cbe77aca”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-clipr-0.8.0-r40hc72bb7e_0.tar.bz2”h0Œ@620cb81a37851609bd9df6551e0d3876030c4b937d44a097c50feaa2619addcc”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ…ˆƒhEJW hFˆubh)”}”(hŒnss-cos7-ppc64le”h#Œ3.44.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ-nss-cos7-ppc64le-3.44.0-hdf0574f_1102.tar.bz2”h+Œ 6b8b502b9c010568b829ca8d904692bf”h.Œ[https://conda.anaconda.org/conda-forge/noarch/nss-cos7-ppc64le-3.44.0-hdf0574f_1102.tar.bz2”h0Œ@a31fbbd1079dcfa6bd3b357def4c1ed6ea1068f022ed0ee3faa389d361a6c1bd”h2NhNh3Œ!nspr-cos7-ppc64le >=4.21.0 *_1102”Œ%nss-util-cos7-ppc64le >=3.44.0 *_1102”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å,1¾whEJ½T hFˆubh)”}”(hŒrequests-ratelimiter”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/requests-ratelimiter-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ 8362ee3a02eb9caf497bd0a53cc18e2c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/requests-ratelimiter-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0cf460e73dcc26948fa8fbb6bae0948c02cb4c603e30151fc006c26b62db9c28”h2NhNh3Œpyrate-limiter >=2.8”Œpython >=3.7,<4.0”Œrequests >=2.20”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÍ"‹¥ãhEM0hFˆubh)”}”(hŒr-sweidnumbr”h#Œ1.4.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ(r-sweidnumbr-1.4.2-r41hc72bb7e_2.tar.bz2”h+Œ 5c223ced7a6787b59db967c4c49e1ee9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-sweidnumbr-1.4.2-r41hc72bb7e_2.tar.bz2”h0Œ@07254a06b9d53e1d5aca08b4a981d9b0df65200ed91155aa0c3167829213a500”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-lubridate >=1.5”Œ	r-stringr”t”h9hºh@ŒBSD-2-Clause”hBŒBSD”hDGAØÒ½\ƒ¥ãhEJ¾” hFˆubh)”}”(hŒr-argumentcheck”h#Œ0.10.2”h%Œr40h6115d3f_1003”h'Mëhhh(h)hŒ/r-argumentcheck-0.10.2-r40h6115d3f_1003.tar.bz2”h+Œ 53929aaa8c07a7e717ab166a78cc9ba9”h.Œ]https://conda.anaconda.org/conda-forge/noarch/r-argumentcheck-0.10.2-r40h6115d3f_1003.tar.bz2”h0Œ@25d088c066d85fb7a24afdbf6c04d846c980c4b4aecc76f523f343ab0a5dedab”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×­¶ƒhEMÄhFˆubh)”}”(hŒsphinx”h#Œ3.5.4”h%Œpyh44b312d_0”h'K hhh(h)hŒ!sphinx-3.5.4-pyh44b312d_0.tar.bz2”h+Œ 0ebc444f001f73c4f6de01057b0be392”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/sphinx-3.5.4-pyh44b312d_0.tar.bz2”h0Œ@7978595d1b47485ea6c0c24b71c8ce8dea5a55e44a356404a702bc8cba96ad2b”h2NhNh3(Œalabaster >=0.7,<0.8”Œbabel >=1.3”Œcolorama >=0.3.5”Œdocutils >=0.12,<0.17”Œ	imagesize”Œjinja2 >=2.3”Œ	packaging”Œpygments >=2.0”Œpython >=3.6”Œrequests >=2.5.0”Œ
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prov 1.5.1”Œpsutil >=5.6.6”Œpydot >=1.4.1”Œpython >=3.6”Œrdflib >=4.2.2,<6.3.0”Œrequests >=2.6.1”Œruamel.yaml >=0.16,<0.17.17”Œ$schema-salad >=8.2.20211104054942,<9”Œ
setuptools”Œshellescape >=3.4.1,<3.9”Œtyping_extensions”t”h9h?h@Œ
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circle-fit”h#Œ0.1.3”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ%circle-fit-0.1.3-pyh9f0ad1d_0.tar.bz2”h+Œ 7ea2dbd5622fc3cd0bc022fd709c2206”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/circle-fit-0.1.3-pyh9f0ad1d_0.tar.bz2”h0Œ@295e2b55079b3dbe3d62ac923366e6e439a8222e0008ae8e1232742269a9cadb”h2NhNh3(Œ
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r-reshape2”Œr-rvest”Œ	r-stringr”Œr-tibble”Œr-tidyr”Œ
r-tidytext”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ°L«SøhEJ­' hFˆubh)”}”(hŒ	r-rccmisc”h#Œ0.3.7”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ(r-rccmisc-0.3.7-r36h6115d3f_1002.tar.bz2”h+Œ 61f3ea9b6a5dd53db4df0e4f98dea077”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-rccmisc-0.3.7-r36h6115d3f_1002.tar.bz2”h0Œ@e4612398ba90cd214dbcc486315aa7944abe0d547d7f614b50211d2fa79ca9b6”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-dplyr”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬dèTýôhEJ\\ hFˆubh)”}”(hŒsagemaker_mxnet_container”h#Œ4.3.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ4sagemaker_mxnet_container-4.3.0-pyh9f0ad1d_0.tar.bz2”h+Œ f19806148e6f2a564f595776392093d4”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/sagemaker_mxnet_container-4.3.0-pyh9f0ad1d_0.tar.bz2”h0Œ@df39e54e8e7d3663b2f8ede848b0170b198c931a85a113c7c6d0200ff4042f6a”h2NhNh3Œpython”Œretrying”Œsagemaker_containers”‡”h9h?h@Œ
Apache 2.0”hBŒAPACHE”hDGA×Ø/Þ¬›¦hEM3hFˆubh)”}”(hŒhaesleinhuepf-pyqode.python”h#Œ2.15.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ7haesleinhuepf-pyqode.python-2.15.2-pyhd8ed1ab_0.tar.bz2”h+Œ a6184712722ba86a907b6e1fa89ad82d”h.Œehttps://conda.anaconda.org/conda-forge/noarch/haesleinhuepf-pyqode.python-2.15.2-pyhd8ed1ab_0.tar.bz2”h0Œ@31267bd57e53abe99d042a2cdfcb3ddad120ae6c475be7bd4efd51bc900ec8e8”h2NhNh3(Œdocutils”Œhaesleinhuepf-pyqode.core”Œjedi”Œpycodestyle”Œpyflakes”Œpython >=3.7”t”h6Œpyqode.python ==9999999”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ‚H†9XhEM˜hFˆubh)”}”(hŒukpopulation”h#Œ1.2.2”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ'ukpopulation-1.2.2-pyhd3deb0d_0.tar.bz2”h+Œ 483587a0e76e38b17753595f25157d8d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ukpopulation-1.2.2-pyhd3deb0d_0.tar.bz2”h0Œ@7b00725dbfa8430b49ad656399adfb2844f842d4f3c5edc535afde72442f58eb”h2NhNh3(Œbeautifulsoup4”Œlxml”Œnumpy”Œopenpyxl”Œpandas”Œpyexcel”Œpyexcel-xls”Œpyexcel-xlsx”Œpython”Œrequests”Œ
setuptools”Œukcensusapi”t”h9h?h@ŒMIT”hBŒMIT”hDGA×èœ–"-hEMiwhFˆubh)”}”(hŒ
r-threeway”h#Œ1.1.3”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ)r-threeway-1.1.3-r40hc72bb7e_1002.tar.bz2”h+Œ 0dbc6bee3771ac727ca794ab95d97a12”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-threeway-1.1.3-r40hc72bb7e_1002.tar.bz2”h0Œ@09fac42450010f6faba328cc35abda8bf35abb456933d07362b33179c413ba8e”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+®dZhEJ©Ë hFˆubh)”}”(hŒdjangorestframework-jwt”h#Œ1.11.0”h%Œpy_0”h'K hhh(h)hŒ+djangorestframework-jwt-1.11.0-py_0.tar.bz2”h+Œ 63bea60f4dedd46d3520ca88f201fa06”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/djangorestframework-jwt-1.11.0-py_0.tar.bz2”h0Œ@ee039a97c9a8629804b2365cf11f47995acea8fd5308fe2b98a9a0f87ce836b1”h2NhNh3(Œdjango >=1.8”Œdjangorestframework >=3.1,<4”Œpyjwt >=1.5.2,<2”Œpython”t”h9h?h@ŒMIT”hBŒMIT”hEM]3hFˆubh)”}”(hŒglib2-devel-cos7-x86_64”h#Œ2.56.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ4glib2-devel-cos7-x86_64-2.56.1-h9b0a68f_1105.tar.bz2”h+Œ d0419483c2942a8d015d8e5db8259f43”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-x86_64-2.56.1-h9b0a68f_1105.tar.bz2”h0Œ@7401ce8ee7dad673a223cea453faa1bbd5bc6285bdc008256f9229e20bcf96b0”h2NhNh3Œ!glib2-cos7-x86_64 ==2.56.1 *_1105”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@kßÈ“uhEJ² hFˆubh)”}”(hŒsuitcase-msgpack”h#Œ0.3.0”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ+suitcase-msgpack-0.3.0-pyhd8ed1ab_1.tar.bz2”h+Œ d70dbb08a59109430757e233aaa3ab2d”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/suitcase-msgpack-0.3.0-pyhd8ed1ab_1.tar.bz2”h0Œ@b51af74b5a0fef3000d4f0d16157b713977072334c1e0b953fe5beca22f11bb3”h2NhNh3(Œevent-model >=1.8.0”Œmsgpack-numpy”Œmsgpack-python”Œpython >=3.6”Œsuitcase-utils”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØYáý×l‹hEMâ#hFˆubh)”}”(hŒfish2eod”h#Œ1.0a1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#fish2eod-1.0a1-pyhd8ed1ab_0.tar.bz2”h+Œ cfa6d9eb632d0d076456d6bac88f1155”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/fish2eod-1.0a1-pyhd8ed1ab_0.tar.bz2”h0Œ@a0b3cf065d0916299088b50df9bd85cd07e1b507e37e2b22f0203635c6058602”h2NhNh3(Œdataclasses”Œfenics-dolfin 2019.1.0”Œ
gmsh 3.0.6”Œh5py”Œlxml”Œmatplotlib-base”Œ	meshio <5”Œnumpy”Œpandas”Œpytables”Œpython >=3.7”Œpyyaml”Œscipy”Œshapely”Œsuperlu_dist 7.2.0”Œtqdm”t”h9h?h@ŒGPL-3.0-only”hBŒGPL”hDGAØ”þu/hEJÀ¶ hFˆubh)”}”(hŒdparse”h#Œ0.6.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!dparse-0.6.2-pyhd8ed1ab_0.tar.bz2”h+Œ 4d394ae326b01619a47b3d1c0ebcb518”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/dparse-0.6.2-pyhd8ed1ab_0.tar.bz2”h0Œ@02d9b9d195d88356573d77c2dcef4d3ddaf826ae427104f71de66ceab9f7d872”h2NhNh3(Œ	packaging”Œpython >=3.5”Œpyyaml”Œtoml”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÊn=8bhEMãNhFˆubh)”}”(hŒgmaps”h#Œ0.9.0”h%Œpy_0”h'K hhh(h)hŒgmaps-0.9.0-py_0.tar.bz2”h+Œ 0619c57ad4dfd81506b472f9daae15e2”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/gmaps-0.9.0-py_0.tar.bz2”h0Œ@cd990288db998131c76d683168fdc7bf2616518b7fe145591ef67d500cc34b3f”h2NhNh3Œgeojson >=2.0.0”Œipywidgets >=7.0.0”Œpython”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×Q	*Dí‘hEJé“ hFˆubh)”}”(hŒ	r-entropy”h#Œ1.3.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-entropy-1.3.1-r42hc72bb7e_1.tar.bz2”h+Œ 2c8c23bfce3471a57220ab215e7217d2”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-entropy-1.3.1-r42hc72bb7e_1.tar.bz2”h0Œ@c4360eac1d6fa8c2395ebe82282c36863f2c919c7611a0efb34a4d8ba5fc01e4”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐâ<î$ÝhEJ1© hFˆubh)”}”(hŒr-shinycssloaders”h#Œ1.0.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ-r-shinycssloaders-1.0.0-r41hc72bb7e_0.tar.bz2”h+Œ cbc42d879ca27c95af2ff3a191c3fcc8”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-shinycssloaders-1.0.0-r41hc72bb7e_0.tar.bz2”•?      h0Œ@5b68477bd644ef36d05938de9c449b07a1b041fb1d0569487d2d7de341075d6f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-digest”Œr-glue”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+S–§ðhEJW: hFˆubh)”}”(hŒlibxcb-cos6-x86_64”h#Œ1.12”h%Œh9b0a68f_105”h'Kihhh(h)hŒ,libxcb-cos6-x86_64-1.12-h9b0a68f_105.tar.bz2”h+Œ e487f9d5d42849a70c88ae7b584d6456”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libxcb-cos6-x86_64-1.12-h9b0a68f_105.tar.bz2”h0Œ@eb7c4beb710f534ff8d5e620daa74d710ec3a2598e16a76a2c529b7c4d117317”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@UcG²hEJÎ hFˆubh)”}”(hŒr-tmaptools”h#Œ3.1_1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-tmaptools-3.1_1-r41hc72bb7e_0.tar.bz2”h+Œ f59035f8f479106b5e69f5eb0ef8ad3a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-tmaptools-3.1_1-r41hc72bb7e_0.tar.bz2”h0Œ@db21ac2c94ab63c0f6d16cb536fc30564afe4e871309671f0b132a181b366a4f”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-classint”Œr-dichromat”Œr-kernsmooth”Œr-lwgeom >=0.1_4”Œ
r-magrittr”Œr-raster >=2.7_15”Œr-rcolorbrewer”Œ
r-sf >=0.9”Œr-stars >=0.4_0”Œr-units >=0.6_1”Œr-viridislite”Œr-xml”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+ÿåÙÛ#hEJµë hFˆubh)”}”(hŒ	r-zeallot”h#Œ0.1.0”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ(r-zeallot-0.1.0-r35h6115d3f_1001.tar.bz2”h+Œ c39ef87e03a6277d4368a144e7193fc6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-zeallot-0.1.0-r35h6115d3f_1001.tar.bz2”h0Œ@1b30fcb7902f95f6e610044b0640f2a19c9c48fa518ffc2d07c072674529989b”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×K ž^5hEMBõhFˆubh)”}”(hŒgpxpy”h#Œ1.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ gpxpy-1.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ d1105c15bdeccd3c3fdea24e430ea4a5”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/gpxpy-1.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@6700117e757588ddd0f8e547f8483728629c7cc0493286658052524fb0f383ca”h2NhNh3Œpython >=3.6”…”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØa8A‰hEM{›hFˆubh)”}”(hŒconda-vendor”h#Œ1.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'conda-vendor-1.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 7b7339b17ef9cbd7a5b303cdd2629e25”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/conda-vendor-1.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@3d492b7b434990113300be65e49852423465333fc7323c06cab49734cfcc25dd”h2NhNh3(Œclick”Œconda-build”Œconda-lock 1.0.5”Œgit”Œpython >=3.6”Œpyyaml”Œrequests”Œruamel.yaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÉ@,®vÉhEMm0hFˆubh)”}”(hŒlibx11-common-cos7-ppc64le”h#Œ1.6.7”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libx11-common-cos7-ppc64le-1.6.7-h9d98e8f_104.tar.bz2”h+Œ f4856ddac1fc8b07e9f038f9ccee116e”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libx11-common-cos7-ppc64le-1.6.7-h9d98e8f_104.tar.bz2”h0Œ@846a3eeff0c8aed35931cf5befc2b22c9105262ada3a327802d0a3f1defc5953”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Éy}â^5hEJ€- hFˆubh)”}”(hŒpyroute2.ipset”h#Œ0.6.13”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ*pyroute2.ipset-0.6.13-pyhd8ed1ab_1.tar.bz2”h+Œ ed69dc5688be8efbe87c07f5a2660064”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/pyroute2.ipset-0.6.13-pyhd8ed1ab_1.tar.bz2”h0Œ@24f9fb2d9ff0ef0ce1e79dba41ba8b48fa41c1bf085a60424cc993c12518f5d7”h2NhNh3Œpyroute2.core”Œpython >=3.6”†”h9h?h@ŒGPL-2.0-or-later OR Apache-2.0”hDGAØ×à[²Ÿ¾hEMÂzhFˆubh)”}”(hŒ	r-sparktf”h#Œ0.1.0”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ%r-sparktf-0.1.0-r42hc72bb7e_3.tar.bz2”h+Œ c473f2b98e49e0ecbcbfad339f43d7f0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-sparktf-0.1.0-r42hc72bb7e_3.tar.bz2”h0Œ@725f85a3876aa0e5ff85326b2cd250aa9a050151f8a6d66f0cc9968c8714a9bd”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-sparklyr >=1.0”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÔº1!%hEMBzhFˆubh)”}”(hŒr-piper”h#Œ0.6.1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-piper-0.6.1.3-r42hc72bb7e_1.tar.bz2”h+Œ 9df883592600aff58739bf2c7e3069b3”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-piper-0.6.1.3-r42hc72bb7e_1.tar.bz2”h0Œ@e776a4e977b2796b7a7656cc3f7fbfa968279f8f6f95676f2dbcc67266b06294”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGAØÑj4ðr°hEMháhFˆubh)”}”(hŒjupyterlab-graph-lsp”h#Œ0.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ/jupyterlab-graph-lsp-0.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ c34d644722a6795a8c4d0757069ec048”h.Œ]https://conda.anaconda.org/conda-forge/noarch/jupyterlab-graph-lsp-0.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@9ee6fc3d02efea4c73d598e99807524e90fe4321618fe418d4330c8885c40459”h2NhNh3Œjupyterlab-lsp >=3.5,<4”Œnodejs”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØj¤cLýôhEJOD hFˆubh)”}”(hŒorbit2-cos7-ppc64le”h#Œ2.14.19”h%Œhdf0574f_102”h'Kfhhh(h)hŒ0orbit2-cos7-ppc64le-2.14.19-hdf0574f_102.tar.bz2”h+Œ 7552557ea609ee0e465d23892681880e”h.Œ^https://conda.anaconda.org/conda-forge/noarch/orbit2-cos7-ppc64le-2.14.19-hdf0574f_102.tar.bz2”h0Œ@80e92ff5ac8b29c8617ab7c7d7d911169379018b09bc56c2273f2f3d34afd633”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPLv2+ and GPLv2+”hBŒGPL2”hDGA×Åi8^§ðhEJWþ hFˆubh)”}”(hŒ	r-distill”h#Œ1.5”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-distill-1.5-r40hc72bb7e_0.tar.bz2”h+Œ 00bd7713d316507d2d9ff2898627b65f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-distill-1.5-r40hc72bb7e_0.tar.bz2”h0Œ@cd1db529ab13c93897f1f4e2f863036c62de85828a95808037334f773d5de051”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-base64enc”Œr-bookdown >=0.8”Œr-digest”Œr-downlit >=0.2”Œr-htmltools”Œr-jsonlite >=1.3”Œr-knitr >=1.15.6”Œr-lubridate”Œr-mime”Œ	r-openssl”Œr-png”Œr-rmarkdown >=2.5”Œr-rprojroot”Œr-rstudioapi”Œ	r-stringr”Œ	r-whisker”Œr-xfun >=0.2”Œr-xml2”Œr-yaml”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØÆ#ÖIºhEJD hFˆubh)”}”(hŒr-proto”h#Œ1.0.0”h%Œr42ha770c72_2004”h'MÔhhh(h)hŒ&r-proto-1.0.0-r42ha770c72_2004.tar.bz2”h+Œ 4d2d1271e5d2b44532ee6336b0379f94”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-proto-1.0.0-r42ha770c72_2004.tar.bz2”h0Œ@08feacadf3be9548ca247f5ad9f96b9617a326d0d434c3ece74d140f20d67252”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÐ«“¥ãhEJ´e hFˆubh)”}”(hŒpython-dremio-client”h#Œ0.15.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ0python-dremio-client-0.15.1-pyhd8ed1ab_0.tar.bz2”h+Œ a724ae2e893970b38d1dd99116602e05”h.Œ^https://conda.anaconda.org/conda-forge/noarch/python-dremio-client-0.15.1-pyhd8ed1ab_0.tar.bz2”h0Œ@f5a4bc8d427f2f8e93ae631f2ae21fb1a218f5fbe0c41a5b2ad2f3b754d11532”h2NhNh3(Œattrs”Œclick >=6.0”Œconfuse”Œmarkdown”Œpandas >=0.24.2”Œpyarrow >=0.15.1”Œpython >=2.7”Œpyyaml”Œrequests >=2.21.0”Œrequests-futures 1.0.0”Œ
simplejson”Œsix”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØžß³žÈ´hEMÃŽhFˆubh)”}”(hŒxcb-util-wm-devel-cos7-x86_64”h#Œ0.4.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ9xcb-util-wm-devel-cos7-x86_64-0.4.1-h9d98e8f_1104.tar.bz2”h+Œ 00c9b38ce0c2981fdbb011ea4d595785”h.Œghttps://conda.anaconda.org/conda-forge/noarch/xcb-util-wm-devel-cos7-x86_64-0.4.1-h9d98e8f_1104.tar.bz2”h0Œ@0e2cd8f42e964531e4756d2ade06fe1a1c2416c03f1b4be0d0aa6d63892d2b4d”h2NhNh3Œsysroot_linux-64 2.17.*”Œ&xcb-util-wm-cos7-x86_64 ==0.4.1 *_1104”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Óê+dZhEM^MhFˆubh)”}”(hŒpymedphys_gamma”h#Œ0.11.0”h%Œpy_1”h'Khhh(h)hŒ#pymedphys_gamma-0.11.0-py_1.tar.bz2”h+Œ 88b0b2a8f91adcc025c19596a8948b6f”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pymedphys_gamma-0.11.0-py_1.tar.bz2”h0Œ@95df155ad284ff929eec00ec42a44f62208fe91c156c7bbfc46c4a94262b5616”h2NhNh3Œnumpy >=1.12”Œpymedphys_dicom 0.11.0 py_1”Œpython >=3.7”‡”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×¯ý>ÈbhEM/xhFˆubh)”}”(hŒ
eliot-tree”h#Œ18.1.1”h%Œpy_0”h'K hhh(h)hŒeliot-tree-18.1.1-py_0.tar.bz2”h+Œ 4efcbd6ed8d8459c13547e3f68079d03”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/eliot-tree-18.1.1-py_0.tar.bz2”h0Œ@2f47321e287da7f8e79bc2657b33f14303969ce8ee4a4cb6cbdeeca1d6457c91”h2NhNh3(Œeliot”Œiso8601”Œjmespath”Œpython >=3.5”Œsix”Œ	termcolor”Œtoolz”Œtree-format”t”h9h?h@ŒMIT”hBŒMIT”hDGA×RÏçþvÉhEMØkhFˆubh)”}”(hŒpytentiostat”h#Œ0.0.5”h%Œpy_0”h'K hhh(h)hŒpytentiostat-0.0.5-py_0.tar.bz2”h+Œ 6869ac916b84a7e145628cafe61b4fd6”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pytentiostat-0.0.5-py_0.tar.bz2”h0Œ@d5cce92bd978abfe4da9823921f3adf00952c482fb83dd09dcd1bef5c8c4dccb”h2NhNh3(Œ
matplotlib”Œpandas”Œ	pyfirmata”Œpyserial”Œ
python >=3”Œpyyaml”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×v»ÎÙhEM´5hFˆubh)”}”(hŒr-assertive”h#Œ0.3_6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-assertive-0.3_6-r41hc72bb7e_1.tar.bz2”h+Œ f2199146592f608c08678c0ea13b9fdb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-assertive-0.3_6-r41hc72bb7e_1.tar.bz2”h0Œ@af70bcacdf7d4d8e26a2d2b0541029108c29343293b0d6efdccd0e97473c1330”h2NhNh3(Œr-assertive.base >=0.0_4”Œr-assertive.code”Œr-assertive.data”Œr-assertive.data.uk”Œr-assertive.data.us”Œr-assertive.datetimes”Œr-assertive.files”Œr-assertive.matrices”Œr-assertive.models”Œr-assertive.numbers”Œr-assertive.properties >=0.0_2”Œr-assertive.reflection >=0.0_2”Œr-assertive.sets >=0.0_2”Œr-assertive.strings”Œr-assertive.types >=0.0_2”Œr-base >=4.1,<4.2.0a0”Œr-knitr”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÑ¿L®¸RhEJ´Ë hFˆubh)”}”(hŒ	pyqode.qt”h#Œ2.10.0”h%Œpyh8a2030e_0”h'K hhh(h)hŒ%pyqode.qt-2.10.0-pyh8a2030e_0.tar.bz2”h+Œ 91d10456ddbe9329eb72ffa274f88960”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/pyqode.qt-2.10.0-pyh8a2030e_0.tar.bz2”h0Œ@41d941874936344d7da39569d41b6423a46822ea26cc1f6519434215a2a559d2”h2NhNh3Œpython”Œ
setuptools”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÝÆÚ‰‡hEMhFˆubh)”}”(hŒserpent”h#Œ1.41”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!serpent-1.41-pyhd8ed1ab_0.tar.bz2”h+Œ 1245168a6800bbedae6aaef9168fb957”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/serpent-1.41-pyhd8ed1ab_0.tar.bz2”h0Œ@b2f0bec71d2f09edc72462420e26a50cc9eb513717a58619dcbfe94f8ab31781”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ®0ó33hEM•4hFˆubh)”}”(hŒr-knitrbootstrap”h#Œ1.0.2”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ,r-knitrbootstrap-1.0.2-r41hc72bb7e_3.tar.bz2”h+Œ b695e8443a90e3c173707e6bb6bac27c”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-knitrbootstrap-1.0.2-r41hc72bb7e_3.tar.bz2”h0Œ@fa5c2945ff596b6b892c3a9b28ce70b19ba405413d1856bf1d7b78288c45d482”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-knitr >=1.5.25”Œ
r-markdown”Œr-rmarkdown”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ`(H´9hEJ1D hFˆubh)”}”(hŒxgcm”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒxgcm-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 2ef117fffccf0ef16833b2cef941dc44”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/xgcm-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@a886168ab20841f038487dde8e42e403cbf11afb51c6e32bb6bb663ee268be92”h2NhNh3(Œdask”Œdocrep <=0.2.7”Œfuture”Œnumpy”Œpython >=3.6”Œxarray >=0.14.1”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ-RË¶FhEM‹ÊhFˆubh)”}”(hŒlibsoup-devel-cos6-x86_64”h#Œ2.34.3”h%Œh9d98e8f_104”h'Khhhh(h)hŒ5libsoup-devel-cos6-x86_64-2.34.3-h9d98e8f_104.tar.bz2”h+Œ 48e6761a36e5a3ff4516f04761b12004”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos6-x86_64-2.34.3-h9d98e8f_104.tar.bz2”h0Œ@b384a83c82def72b3f5f9733ec90207ab31f0a3c37c71e08be6e0a4dc3ef1086”h2NhNh3Œ'glib2-devel-cos6-x86_64 >=2.27.90 *_104”Œ"libsoup-cos6-x86_64 ==2.34.3 *_104”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É{÷7¾whEJŒT hFˆubh)”}”(hŒr-sparql”h#Œ1.16”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ&r-sparql-1.16-r40hc72bb7e_1003.tar.bz2”h+Œ c2fec406b5ada2fcdc893d581e8e502d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparql-1.16-r40hc72bb7e_1003.tar.bz2”h0Œ@63e62b0c5810bce0377b40bacfc66c755572df794eb36ec4a46b724778597def”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-rcurl”Œr-xml”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+ƒ33hEM¯ØhFˆubh)”}”(hŒr-sparql”h#Œ1.16”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ&r-sparql-1.16-r35h6115d3f_1002.tar.bz2”h+Œ 05768296769b6bc8378d9281b3a215cc”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparql-1.16-r35h6115d3f_1002.tar.bz2”h0Œ@d9f54f8004c35502ea8927d656246061e0644eb42912f96f632b4d35247f19c1”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-rcurl”Œr-xml”‡”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×L«c*¬hEMË§hFˆubh)”}”(hŒparquet-python”h#Œ1.3.1”h%Œpyh6c4a22f_0”h'K hhh(h)hŒ)parquet-python-1.3.1-pyh6c4a22f_0.tar.bz2”h+Œ 3cb2e0470390bf084e9aace0966743c7”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/parquet-python-1.3.1-pyh6c4a22f_0.tar.bz2”h0Œ@9dba1ade30a04927b216371e09a62523c8f10e3cb5523e9528d5e2b14a23ebfa”h2NhNh3Œpython”Œ	thriftpy2”†”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØ¨4Pn5?hEMehFˆubh)”}”(hŒr-ggparallel”h#Œ0.2.0”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ,r-ggparallel-0.2.0-r351h6115d3f_1001.tar.bz2”h+Œ 0e0fb9db2c949077c55a4e488168e276”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-ggparallel-0.2.0-r351h6115d3f_1001.tar.bz2”h0Œ@87cfa35307be1a465dcfcda0440e927db13936e20dca5be28a8075a7d77d201f”h2NhNh3(Œr-base >=3.5.1,<3.5.2.0a0”Œr-ggplot2 >=2.2.0”Œr-plyr >=1.8.4”Œr-reshape2 >=1.4.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAÖþ6—hEJÙ<- hFˆubh)”}”(hŒlibxext-devel-cos7-ppc64le”h#Œ1.3.3”h%Œh1795305_1101”h'MMhhh(h)hŒ6libxext-devel-cos7-ppc64le-1.3.3-h1795305_1101.tar.bz2”h+Œ 912bdcaca790e700a89cdf3da03fdeb8”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libxext-devel-cos7-ppc64le-1.3.3-h1795305_1101.tar.bz2”h0Œ@d06c5caf1ebdf946fbfd14a8d64334b7c08a5b4915e9cda41518942e73c8e773”h2NhNh3Œlibxext-cos7-ppc64le 1.3.3”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å&W´9hEJ¼ hFˆubh)”}”(hŒr-lle”h#Œ1.1”h%Œr35_1002”h'Mêhhh(h)hŒr-lle-1.1-r35_1002.tar.bz2”h+Œ 8f642949594e837353c979b0639682f4”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/r-lle-1.1-r35_1002.tar.bz2”h0Œ@3e9c788e10102e141e31c28be4bda7be99359fa797087c4f5eff0dfa8acdde68”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-mass”Œr-scatterplot3d”Œ
r-snowfall”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×LÝ_ð£×hEJ/ hFˆubh)”}”(hŒmaps-cli”h#Œ0.0.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#maps-cli-0.0.3-pyhd8ed1ab_0.tar.bz2”h+Œ 0d0985935a39c411b854f3e7ed8d00c0”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/maps-cli-0.0.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0b03957e6471a89673897ef394d2e3a3a0f67b77df5816ff15ec7560906d3565”h2NhNh3(Œclick >=7.1.2,<8.0.0”Œgeojson >=2.5.0,<3.0.0”Œgeojsonio >=0.0.3,<0.0.4”Œgeopy >=2.1.0,<3.0.0”Œ%here-location-services >=0.1.0,<0.2.0”Œoverpy >=0.4,<0.5”Œpython >=3.6,<4.0”Œrequests >=2.25.1,<3.0.0”Œsimplejson >=3.17.2,<4.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØóWþffhEM;hFˆubh)”}”(hŒr-calibrator”h#Œ1.2_8”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-calibrator-1.2_8-r41hc72bb7e_0.tar.bz2”h+Œ 409b183ca374a531776335c68409ee55”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-calibrator-1.2_8-r41hc72bb7e_0.tar.bz2”h0Œ@6a6ad753114eccfe0e89966b8208972ef25ccd43eef86672bed1ad7430596418”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
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r-magrittr”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒFÑÌjhEJ–v	 hFˆubh)”}”(hŒr-scrt”h#Œ1.3.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ"r-scrt-1.3.1-r40h6115d3f_1.tar.bz2”h+Œ 52f93299bcd088fb0a060aad40c2e60f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-scrt-1.3.1-r40h6115d3f_1.tar.bz2”h0Œ@1554339ad9103365802037958496a5485336f7c0a6454397a490746d5f142d8c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬IÛ¥ãhEJ²< hFˆubh)”}”(hŒbio-embeddings”h#Œ0.2.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)bio-embeddings-0.2.2-pyhd8ed1ab_1.tar.bz2”h+Œ 790861fe46d62a53c631c5c8761765c3”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/bio-embeddings-0.2.2-pyhd8ed1ab_1.tar.bz2”h0Œ@806b6c89cba222719810e324a0e46ae078976ea903a39fc95bb4cb1be817a5af”h2NhNh3(Œappdirs >=1.4.4,<2.0.0”Œatomicwrites >=1.4.0,<2.0.0”Œbiopython >=1.79,<2.0”Œgensim >=3.8.2,<4.0.0”Œh5py >=3.2.1,<4.0.0”Œhumanize >=3.2.0,<4.0.0”Œ!importlib_metadata >=4.6.1,<5.0.0”Œlock >=2018.3.25,<2019.0.0”Œmatplotlib-base >=3.2.1,<4.0.0”Œnumpy >=1.18.3,<2.0.0”Œpandas >=1.2.0,<2.0.0”Œplotly >=5.1.0,<6.0.0”Œpython >=3.7”Œpython-slugify >=5.0.2,<6.0.0”Œpytorch >=1.8.0,<=1.10.0”Œruamel.yaml >=0.17.10,<0.18.0”Œscikit-learn >=0.24.0”Œscipy >=1.4.1,<2.0.0”Œtqdm >=4.45.0,<5.0.0”Œumap-learn >=0.5.1,<0.6.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØˆMî ´9hEJ' hFˆubh)”}”(hŒ
r-solarius”h#Œ0.3.0.2”h%Œr41hc72bb7e_1002”h'Mêhhh(h)hŒ+r-solarius-0.3.0.2-r41hc72bb7e_1002.tar.bz2”h+Œ dd901d8051232c80347bb5d09a053ab6”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-solarius-0.3.0.2-r41hc72bb7e_1002.tar.bz2”h0Œ@7c87a5eebfa0f752af254e5d0f256f08baa2e5eacbb94a92479438052ade479a”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-data.table”Œ	r-ggplot2”Œr-plyr >=1.8.1”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ+°Û@A‰hEJ7ä
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python >=3”Œrequests >=2.0”Œrequests-oauthlib >=1.0.0”Œsix”Œ	urlobject”t”h9h?h@ŒMIT”hBŒMIT”hDGA×>—E|jhEM{mhFˆubh)”}”(hŒr-functional”h#Œ0.6”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ)r-functional-0.6-r41ha770c72_1003.tar.bz2”h+Œ b48ece4d136bc4af37b9320d40e9a37c”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-functional-0.6-r41ha770c72_1003.tar.bz2”h0Œ@6d7cfbb9f3963f32024db4d44c828c833a82f9964167cdb1a0e8c8a9ab16c0ae”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ-.K"ÑhEM£hFˆubh)”}”(hŒr-kaos”h#Œ0.1.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-kaos-0.1.2-r41hc72bb7e_2.tar.bz2”h+Œ f3fa4374fde66c762b9c364c587930cf”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-kaos-0.1.2-r41hc72bb7e_2.tar.bz2”h0Œ@fe93090752b71889f4b9ae543b8d9f014458d7b69d75bdafc14b87696d403906”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-ggplot2”Œ
r-reshape2”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ`ivhEMÉ¸hFˆubh)”}”(hŒr-bc3net”h#Œ1.0.4”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ$r-bc3net-1.0.4-r41hc72bb7e_2.tar.bz2”h+Œ 221d477c64bdf8b6ae903ee12a036b38”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-bc3net-1.0.4-r41hc72bb7e_2.tar.bz2”h0Œ@c9f75e0dbf4d25acdb41a9b86044e98d1acedca2bc49384cf9791bc357cf1eb7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-c3net”Œr-igraph”Œ
r-infotheo”Œ	r-lattice”Œr-matrix”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒ£Pº¬hEJ ‡ hFˆubh)”}”(hŒ
r-seasonal”h#Œ1.9.0”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-seasonal-1.9.0-r41hc72bb7e_0.tar.bz2”h+Œ fefb8debca2d3743360befa01ee55612”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-seasonal-1.9.0-r41hc72bb7e_0.tar.bz2”h0Œ@eb8e93fc18f616b0e22e8d599271f7a0e3718c897196239f78c425fac2af8062”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-x13binary”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ—MÇPhEJVÏ hFˆubh)”}”(hŒr-mcl”h#Œ1.0”h%Œr351h6115d3f_0”h'K hhh(h)hŒ r-mcl-1.0-r351h6115d3f_0.tar.bz2”h+Œ ac6110c93d42e7e54d4a03168180a4e8”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-mcl-1.0-r351h6115d3f_0.tar.bz2”h0Œ@40eea51fb9d33073c321c5648415c20e0237d4f5c8d1f8f5a3a891cfa88d4b49”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-expm”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×	Ðú¨ ÅhEMÃthFˆubh)”}”(hŒr-randomcolor”h#Œ1.1.0.1”h%Œr35h6115d3f_0”h'K hhh(h)hŒ+r-randomcolor-1.1.0.1-r35h6115d3f_0.tar.bz2”h+Œ c07a9ef651e1c94c04d8517d2d0c6e6e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-randomcolor-1.1.0.1-r35h6115d3f_0.tar.bz2”h0Œ@e161d9ae24747527aa5a38ac2f3971cb0ba63a383a654c7f6e1f42913657304c”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-cluster”Œr-colorspace”Œr-rtsne”Œr-scales”Œ	r-stringr”Œr-v8”t”h9hºh@ŒCC0”hBŒCC”hDGA×wˆ'$jhEM­…hFˆubh)”}”(hŒ
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six >=1.10”Œtzlocal >=1.2”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÚ žo+hEJ¾«
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rb-fluentd”h#Œ1.11.3”h%j3G h'K hhh(h)hŒrb-fluentd-1.11.3-0.tar.bz2”h+Œ f4c71a599266662a8a6f5978fb0c41a6”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/rb-fluentd-1.11.3-0.tar.bz2”h0Œ@20a6ed31e045badf623ac26074e3c66aba9385a01e98d6169805556176b4370c”h2NhNh3(Œrb-cool.io >=1.4.5,<2.0.0”Œrb-dig_rb >=1.0.0,<1.1”Œ rb-http_parser.rb >=0.5.1,<0.7.0”Œrb-msgpack >=1.2.0,<2.0.0”Œrb-serverengine >=2.0.4,<3.0.0”Œrb-sigdump >=0.2.2,<1.0.0”Œrb-strptime >=0.2.2,<0.3”Œrb-tzinfo >=2.0,<3”Œrb-tzinfo-data >=1.0,<2”Œrb-yajl-ruby >=1.0,<2”Œ
ruby >=2.5”t”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGA×Ý$œ&$ÝhEJˆ hFˆubh)”}”(hŒfletcher”h#Œ0.7.2”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#fletcher-0.7.2-pyhd8ed1ab_1.tar.bz2”h+Œ d5250c125a6569a396105a2ec475ac0e”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/fletcher-0.7.2-pyhd8ed1ab_1.tar.bz2”h0Œ@874954fea224337b72cca033506a2369b8de24ca75b7d26d8e839a1849269a68”h2NhNh3(Œnumba >=0.49”Œpandas >=1.0”Œpyarrow >=0.17”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ`éýÓ¶FhEMå¯hFˆubh)”}”(hŒlibidl-devel-cos7-ppc64le”h#Œ0.8.14”h%Œhdf0574f_102”h'Kfhhh(h)hŒ5libidl-devel-cos7-ppc64le-0.8.14-hdf0574f_102.tar.bz2”h+Œ f1351d038de8fbe294401208e7e66c49”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libidl-devel-cos7-ppc64le-0.8.14-hdf0574f_102.tar.bz2”h0Œ@6e87e2782ed822d318158e3c1bd5d7c4d06ae4329f82bcae74e2f6d0206c8b4c”h2NhNh3Œ$glib2-devel-cos7-ppc64le >=2.0 *_102”Œ"libidl-cos7-ppc64le ==0.8.14 *_102”Œ"pkgconfig-cos7-ppc64le >=0.8 *_102”‡”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åih5¡ËhEM
ghFˆubh)”}”(hŒrb-jekyll-coffeescript”h#Œ2.0.0”h%Œ
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ië…hEM0/hFˆubh)”}”(hŒr-shape”h#Œ1.4.6”h%Œr40ha770c72_0”h'K hhh(h)hŒ#r-shape-1.4.6-r40ha770c72_0.tar.bz2”h+Œ 064c3e9bcc1fbc2a72143347ecbfcb72”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-shape-1.4.6-r40ha770c72_0.tar.bz2”h0Œ@fa4419ab16225961379399d54d3eaefe4314813a9b11d793a32ee2d24e663151”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGAØ)6ý.‡+hEJ"i hFˆubh)”}”(hŒ	distarray”h#Œ2.12.2”h%Œpyhd8ed1ab_2”h'Khhh(h)hŒ%distarray-2.12.2-pyhd8ed1ab_2.tar.bz2”h+Œ 13e8dda6a1522770e1ba093f42b92121”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/distarray-2.12.2-pyhd8ed1ab_2.tar.bz2”h0Œ@bdea3f9ccc906c6f5506dd07eb3a7409d0a1fd87640a8e822f5f7f06d1d573c4”h2NhNh3Œfuture”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ2ÝÙY7LhEM›.hFˆubh)”}”(hŒr-circstats”h#Œ0.2_6”h%Œr36_1001”h'Méhhh(h)hŒ"r-circstats-0.2_6-r36_1001.tar.bz2”h+Œ f26001bd9e8c7065d60ad2619ae2473e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-circstats-0.2_6-r36_1001.tar.bz2”h0Œ@9b3eb96459cec273ae6881b736bf2cc2b4380c78ace7c9bff5d1fa4d0040dce4”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-boot”Œr-mass”‡”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×L(úßÎÙhEJkÍ hFˆubh)”}”(hŒgoogle-cloud-pubsub”h#Œ1.6.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ.google-cloud-pubsub-1.6.1-pyh9f0ad1d_0.tar.bz2”h+Œ efafef1e4a1f0d3e05884f73db609d90”h.Œ\https://conda.anaconda.org/conda-forge/noarch/google-cloud-pubsub-1.6.1-pyh9f0ad1d_0.tar.bz2”h0Œ@265c6759f7eb555ab12f35f718221f4059f36d7fb4af4ed3a839e4b369b38025”h2NhNh3(Œenum34”Œ+google-api-core >=1.14,!=1.17,!=1.18,!=1.19”Œ!grpc-google-iam-v1 >=0.12.3,<0.13”Œpython”t”h9h?h@Œ
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r-jsonlite”Œr-purrr”Œr-readr >=2.1.0”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÝnÄÎÈ´hEJ;™ hFˆubh)”}”(hŒnss-softokn-cos6-x86_64”h#Œ3.14.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ4nss-softokn-cos6-x86_64-3.14.3-h9d98e8f_1104.tar.bz2”h+Œ 9507a00b188dda4b7e3335c156ce2628”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos6-x86_64-3.14.3-h9d98e8f_1104.tar.bz2”h0Œ@15f55fbda3984425fc1cce0e3ff45353e6cf1fb7605d900a1fb313089ca0f5d3”h2NhNh3(Œ nspr-cos6-x86_64 >=4.10.6 *_1104”Œ.nss-softokn-freebl-cos6-x86_64 >=3.14.3 *_1104”Œ$nss-util-cos6-x86_64 >=3.15.1 *_1104”Œsysroot_linux-64 2.12.*”t”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×É}¬zÀƒhEJÁð hFˆubh)”}”(hŒcompas_nurbs”h#Œ0.2.0”h%Œpyh44b312d_0”h'K hhh(h)hŒ'compas_nurbs-0.2.0-pyh44b312d_0.tar.bz2”h+Œ ad634fbfe74b47a9283ac847f0450fdf”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/compas_nurbs-0.2.0-pyh44b312d_0.tar.bz2”h0Œ@d3a75da2b81095893863110fb5c2d056b44dfb0a6ce9f08d6653eec31eab2d26”h2NhNh3Œcompas >=1.0,<2.0”Œ
python >=3”†”h9h?h@ŒMIT”hBŒMIT”hDGAØË"hbNhEMþqhFˆubh)”}”(hŒ python-javapackages-cos7-ppc64le”h#Œ3.4.1”h%Œh9d98e8f_104”h'Khhhh(h)hŒ;python-javapackages-cos7-ppc64le-3.4.1-h9d98e8f_104.tar.bz2”h+Œ 19e7cb4b4c9a7152130f5db8b9e88e33”h.Œihttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-ppc64le-3.4.1-h9d98e8f_104.tar.bz2”h0Œ@f71a0f4387599b61fb762d030c21a7d10ffbde76892c1744cd7b85828e94b1cf”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÉyÅ;dhEMo2hFˆubh)”}”(hŒ
r-clustree”h#Œ0.5.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-clustree-0.5.0-r41hc72bb7e_1.tar.bz2”h+Œ 144e3becb7ad00ff16ac02418310065d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-clustree-0.5.0-r41hc72bb7e_1.tar.bz2”h0Œ@4f79e11dcf616e7f621ead2adc99578ddac36b87e6574cce12a79f19e044c771”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-checkmate”Œr-dplyr”Œ	r-ggplot2”Œr-ggraph”Œ	r-ggrepel”Œr-igraph”Œr-rlang”Œr-tidygraph”Œ	r-viridis”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒú^5?hEJD$ hFˆubh)”}”(hŒr-whoami”h#Œ1.3.0”h%Œr351h6115d3f_0”h'K hhh(h)hŒ%r-whoami-1.3.0-r351h6115d3f_0.tar.bz2”h+Œ 2402c8470b51de4c48bc9eaed145f40e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-whoami-1.3.0-r351h6115d3f_0.tar.bz2”h0Œ@9dc6f114372070ba2628d8f49a7059efc12e4ce532ffdc576db5e2e86f8f5b6f”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-httr”Œ
r-jsonlite”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×$BQ`BhEM±‡hFˆubh)”}”(hŒr-assertive.models”h#Œ0.0_2”h%Œr36h6115d3f_1”h'Khhh(h)hŒ.r-assertive.models-0.0_2-r36h6115d3f_1.tar.bz2”h+Œ e78534a377656061c764957d9dc1e3ec”h.Œ\https://conda.anaconda.org/conda-forge/noarch/r-assertive.models-0.0_2-r36h6115d3f_1.tar.bz2”h0Œ@6fec395e59841830ba6a3682ceabb317ce7ad664fcd8230cca09e9c32122eae5”h2NhNh3Œr-assertive.base >=0.0_2”Œr-base >=3.6,<3.7.0a0”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×LWoÊÁhEMË‚hFˆubh)”}”(hŒr-quarto”h#Œ1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ"r-quarto-1.2-r41hc72bb7e_0.tar.bz2”h+Œ e3d3c11d98cc98d73c2c62f669bab824”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-quarto-1.2-r41hc72bb7e_0.tar.bz2”h0Œ@f582d6c445111af28292137e1869403fc9350e9e4c53f530e94ed448879398e0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-jsonlite”Œr-later”Œ
r-processx”Œr-rmarkdown”Œr-rsconnect >=0.8.26”Œr-rstudioapi”Œr-yaml”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØ±¥jQìhEJE hFˆubh)”}”(hŒquickff”h#Œ2.2.4”h%Œpyh9f0ad1d_2”h'Khhh(h)hŒ"quickff-2.2.4-pyh9f0ad1d_2.tar.bz2”h+Œ 3f94dc8171c7ac86a1aa07fad4a49fc3”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/quickff-2.2.4-pyh9f0ad1d_2.tar.bz2”h0Œ@d00b211b1311e41b7a6819121ff46568494f37939650430e4f97bb7aaeda028c”h2NhNh3(Œimportlib_resources”Œnumpy”Œpython”Œyaff”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×ž% §KÇhEJ]ç hFˆubh)”}”(hŒr-framecleaner”h#Œ0.2.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-framecleaner-0.2.0-r42hc72bb7e_1.tar.bz2”h+Œ eec64a57fb60a83ffbd592e9888546eb”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-framecleaner-0.2.0-r42hc72bb7e_1.tar.bz2”h0Œ@16bc7eb8fc83fcb2cc70efd5337ec1044b056b416f86a96d4854200d0146dd3b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-bit64”Œr-dplyr”Œr-fastdummies”Œ	r-forcats”Œr-fs”Œ	r-janitor”Œr-lubridate”Œ
r-magrittr”Œr-purrr”Œr-readr”Œr-rio”Œr-rlang”Œr-rlist”Œr-rstudioapi”Œ	r-stringr”Œr-tibble”Œr-tidyselect”Œr-vroom”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÐÎ|¡™šhEJ#Í hFˆubh)”}”(hŒlibxscrnsaver-devel-cos7-x86_64”h#Œ1.2.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ;libxscrnsaver-devel-cos7-x86_64-1.2.2-hdf0574f_1102.tar.bz2”h+Œ 8763b48e469e2f81911875655bea8399”h.Œihttps://conda.anaconda.org/conda-forge/noarch/libxscrnsaver-devel-cos7-x86_64-1.2.2-hdf0574f_1102.tar.bz2”h0Œ@d0bb0a89d8338b8f8939997b5de7edeb767e06f5ab22f4a77e8e4e0bb6c1e8ea”h2NhNh3Œ(libxscrnsaver-cos7-x86_64 ==1.2.2 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ©$ÝhEM)3hFˆubh)”}”(hŒrauth”h#Œ0.7.3”h%Œpy_0”h'K hhh(h)hŒrauth-0.7.3-py_0.tar.bz2”h+Œ b40c891e8c348dd85430cd9aa4bfc880”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/rauth-0.7.3-py_0.tar.bz2”h0Œ@8c1cde8a76158d8b7ed6f917abda2550523b0a84a406e4f651ef24027907e0ef”h2NhNh3Œpython”Œrequests >=1.2.3”†”h9h?h@ŒMIT”hBŒMIT”hEMœ;hFˆubh)”}”(hŒlibsm-cos7-aarch64”h#Œ1.2.2”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ.libsm-cos7-aarch64-1.2.2-h9d98e8f_1104.tar.bz2”h+Œ 594c6fb4b9d4c7f72356928e6b4fa4d6”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsm-cos7-aarch64-1.2.2-h9d98e8f_1104.tar.bz2”h0Œ@35cd466d4a0828e4513c3ce97cbc93c5318751fd8f77807e155f220719841f00”h2NhNh3Œsysroot_linux-aarch64 2.17.*”…”h9hºh@ŒMIT”hBŒMIT”hDGA×É{bý¡ËhEMChFˆubh)”}”(hŒr-elasticnet”h#Œ1.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-elasticnet-1.3-r42hc72bb7e_1.tar.bz2”h+Œ 327095a30338f183cd856171cb76d6f1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-elasticnet-1.3-r42hc72bb7e_1.tar.bz2”h0Œ@ad9560119af58a73081a053f36b7443241e8a6156640ea777b3bd96f65fb52ab”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lars”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÐþN»•hEJœ× hFˆubh)”}”(hŒsoprano”h#Œ0.8.13b”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$soprano-0.8.13b-pyhd8ed1ab_0.tar.bz2”h+Œ c98a4d7c3fd23eb97dfa0bc4e5b353a3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/soprano-0.8.13b-pyhd8ed1ab_0.tar.bz2”h0Œ@18444055352dac00793f700d656741ab5135cf58cf813ef81ab4cc5e391984fa”h2NhNh3(Œase”Œnumpy”Œpython >=3.6”Œscipy”t”h9h?h@ŒLGPL-3.0-only”hBŒLGPL”hDGAØb´Ç+hEJ9ï hFˆubh)”}”(hŒ	r-foreach”h#Œ1.5.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-foreach-1.5.2-r40hc72bb7e_0.tar.bz2”h+Œ 7cdce0dc9a76d1597e33bc6ede01fff0”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-foreach-1.5.2-r40hc72bb7e_0.tar.bz2”h0Œ@832919d551c5295034b77adc08fd9a174f860c1b1c2d38ca4c34e83276fd09de”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-codetools”Œr-iterators”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ~žW¾§ðhEJ« hFˆubh)”}”(hŒexpat-devel-cos6-x86_64”h#Œ2.0.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2expat-devel-cos6-x86_64-2.0.1-hdf0574f_102.tar.bz2”h+Œ 3dbbe7d376fd4644f9e3db3c7dc52646”h.Œ`https://conda.anaconda.org/conda-forge/noarch/expat-devel-cos6-x86_64-2.0.1-hdf0574f_102.tar.bz2”h0Œ@64ab2868fee8de7b54b595fa4d3a7a4d4662feda41d90c4c8a61e8fd42a62074”h2NhNh3Œexpat-cos6-x86_64 ==2.0.1 *_102”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Åá hå`hEJÖ hFˆubh)”}”(hŒdeprecation”h#Œ2.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ&deprecation-2.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ 7b6747d7cc2076341029cff659669e8b”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/deprecation-2.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@2695a60ff355b114d0c459458461d941d2209ec9aff152853b6a3ca8700c94ec”h2NhNh3Œ	packaging”Œpython”†”h9h?h@Œ
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python >=3”‡”h9h?h@ŒGPL-3.0”hBŒGPL”hDGAØ+žG®hEJ¸ hFˆubh)”}”(hŒr-rclone”h#Œ1.0.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-rclone-1.0.3-r41hc72bb7e_0.tar.bz2”h+Œ 65321e7992cd300b19d949ceb82df175”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rclone-1.0.3-r41hc72bb7e_0.tar.bz2”h0Œ@1e7aadf4207282a3ed440887ce8be6792db122ba66df307df699a8ff790b7de5”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+¯C–hEJ¨¶< hFˆubh)”}”(hŒr-ggdistribute”h#Œ1.0.3”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ-r-ggdistribute-1.0.3-r40hc72bb7e_1002.tar.bz2”h+Œ afad65db44d7e3ade80004355e5d3f7a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-ggdistribute-1.0.3-r40hc72bb7e_1002.tar.bz2”h0Œ@f5c1b0d5dc544c993e10708db4f3d12d05d7c337cb27899bb6f04b8655b1e069”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-data.table”Œr-dplyr”Œr-ggplot2 >=3.0.0”Œ
r-magrittr”Œr-tibble”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØ+À–ÄzáhEJßø hFˆubh)”}”(hŒmatminer”h#Œ0.7.4”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ#matminer-0.7.4-pyhd8ed1ab_1.tar.bz2”h+Œ 20242634ebc07a2ffcda11e412e224f6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/matminer-0.7.4-pyhd8ed1ab_1.tar.bz2”h0Œ@5134f10e60c84b96aa2a2dd51361df030a2d0ac2d7bfebaaaf3e5a21ad024b26”h2NhNh3(Œfuture >=0.16.0”Œmonty >=3.0.1”Œnumpy >=1.18.3”Œpandas >=0.23.4”Œpint >=0.8.1”Œpip”Œplotly >=3.2.1”Œpymatgen >=2019.10.2”Œpymongo >=3.11.2”Œpython >=3.5”Œrequests >=2.20.0”Œscikit-learn >=0.21.3”Œsix >=1.16.0”Œsympy >=1.6”Œtqdm >=4.23.1”t”h6(Œdscribe >=0.2.9”Œaflow >=0.0.9”Œjmespath >=0.9.3”Œmdf_forge >=0.6.1”Œhttplib2 >=0.10.3”Œcitrination-client >=4.0.1”Œujson >=1.35”Œase >=3.14.1”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØoúìt(öhEJ)” hFˆubh)”}”(hŒ	r-waterml”h#Œ1.9.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-waterml-1.9.8-r40hc72bb7e_0.tar.bz2”h+Œ 6e70ad49f57906ff80b9a359f404c956”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-waterml-1.9.8-r40hc72bb7e_0.tar.bz2”h0Œ@c4eae71b0656f16daa87cee4eb5c63266863b932d9025cd14be5fc3ea2a58511”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-httr”Œr-xml”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ_å hEJÌ* hFˆubh)”}”(hŒlibxrandr-cos6-x86_64”h#Œ1.5.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ0libxrandr-cos6-x86_64-1.5.1-h9b0a68f_105.tar.bz2”h+Œ c1fd7ffc57c4897f2ba52709bb6fd42c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxrandr-cos6-x86_64-1.5.1-h9b0a68f_105.tar.bz2”h0Œ@63875e24ef340c1eca89a84e2e4843e31662f14a28b813cdd2b2220e8be34852”h2NhNh3Œ libx11-cos6-x86_64 >=1.6.0 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@[wžéyhEMWhFˆubh)”}”(hŒr-ccp”h#Œ1.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒr-ccp-1.2-r42hc72bb7e_1.tar.bz2”h+Œ f72016d08ce114a889b62c3f52dc37a8”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/r-ccp-1.2-r42hc72bb7e_1.tar.bz2”h0Œ@9f91011ea890c46be4a1723fbb35b16a11c5db5c2868b75fc32ab33b52809d35”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØÒœoÏ²hEM-öhFˆubh)”}”(hŒnss-softokn-cos7-ppc64le”h#Œ3.44.0”h%Œh1795305_1101”h'MMhhh(h)hŒ5nss-softokn-cos7-ppc64le-3.44.0-h1795305_1101.tar.bz2”h+Œ 7b6b75becb7a26825892a9ac4c402c38”h.Œchttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-ppc64le-3.44.0-h1795305_1101.tar.bz2”h0Œ@8cc9abda6a29a6bdbae1ce30f73bcb8eafb7816f542856eec08cd9ec2d8da19e”h2NhNh3Œnspr-cos7-ppc64le >=4.21.0”Œnss-util-cos7-ppc64le >=3.44.0”Œsysroot_linux-ppc64le 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×ÄÇ³â^5hEJò# hFˆubh)”}”(hŒ
r-ggdendro”h#Œ0.1.23”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ'r-ggdendro-0.1.23-r41hc72bb7e_0.tar.bz2”h+Œ c83b9a01cec577dd40573cdfeb5913fb”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ggdendro-0.1.23-r41hc72bb7e_0.tar.bz2”h0Œ@82995c96c1a7ab3efba9f150c1d623f915d981d74a4f9ccc1b8336ea9ba86bf8”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=0.9.2”Œr-mass”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØƒL‡ hEJ hFˆubh)”}”(hŒfair-research-login”h#Œ0.2.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.fair-research-login-0.2.6-pyhd8ed1ab_0.tar.bz2”h+Œ bb827fc4892ffa4b28fc822cd83a3537”h.Œ\https://conda.anaconda.org/conda-forge/noarch/fair-research-login-0.2.6-pyhd8ed1ab_0.tar.bz2”h0Œ@7eac2db2467f497cfa6f9c8b977542fd81c72e5ce06bad67dfab5dd7747cff80”h2NhNh3Œ
globus-sdk”Œpython >=3.6”†”h9h?h@Œ
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hEJP² hFˆubh)”}”(hŒoxasl”h#Œ0.1.13”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!oxasl-0.1.13-pyhd8ed1ab_0.tar.bz2”h+Œ f2cb26a553091dab0f2afb1fcf4322b0”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/oxasl-0.1.13-pyhd8ed1ab_0.tar.bz2”h0Œ@23381bc2f6498a62caf7b50a83bf4bd4f348dfd7a0e64d45eedced49aa4c41a9”h2NhNh3(Œfslpy >=1.13”Œnibabel”Œnumpy”Œpandas”Œpyaml”Œpyfab”Œpython >=3.6”Œscikit-image”Œsix”t”h9h?h@Œ
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r-metaplus”h#Œ1.0_4”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-metaplus-1.0_4-r41hc72bb7e_1.tar.bz2”h+Œ 096bf78e4a91be5adcc41f56411ab969”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-metaplus-1.0_4-r41hc72bb7e_1.tar.bz2”h0Œ@9e418b67a9a4117b3d97877a81bfcfcc943fbf4b9e0399a9da61e12a9a44dcff”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bbmle”Œr-boot”Œr-doparallel”Œr-dorng”Œr-fastghquad”Œ	r-foreach”Œr-lme4”Œr-mass”Œ	r-metafor”Œ
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colorpedia”h#Œ1.2.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%colorpedia-1.2.3-pyhd8ed1ab_0.tar.bz2”h+Œ 6d0a3a4dbf0598cc430cc696c4de7180”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/colorpedia-1.2.3-pyhd8ed1ab_0.tar.bz2”h0Œ@975b6c6f8a9c93af24aa7b173ca441b0f89c478177b71970ab717cc904dd61df”h2NhNh3Œdataclasses >=0.6”Œfire >=0.3.1”Œpython >=3.6”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØÆæ‡+hEMNhFˆubh)”}”(hŒpytemlib”h#Œ
0.2022.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(pytemlib-0.2022.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 3ed3830707665b49b1c5fcbae1e7ac3f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/pytemlib-0.2022.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@0282e95a91e2f5ea535b3271cda12475da438a421302ef07de0253f331840e2e”h2NhNh3(Œase”Œ
h5py >=3.0”Œlxml”Œnumpy”Œpandas”Œpillow”Œplotly”Œpynsid”Œpython >=3.7”Œrequests”Œscifireaders”Œscikit-image”Œscikit-learn”Œscipy”Œsidpy”Œspglib”Œtqdm”t”h9h?h@ŒMIT”hBŒMIT”hDGAØËºý`BhEJ´8 hFˆubh)”}”(hŒdodgy”h#Œ0.2.1”h%Œpy_0”h'K hhh(h)hŒdodgy-0.2.1-py_0.tar.bz2”h+Œ 62a69d073f7446c90f417b0787122f5b”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/dodgy-0.2.1-py_0.tar.bz2”•A      h0Œ@bdf66d3d4d054beade259d422f5cc62b027c1d9056681535454c97738ca18ee6”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGA×¸DòÍ?}hEMŸ!hFˆubh)”}”(hŒisodate”h#Œ0.6.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"isodate-0.6.1-pyhd8ed1ab_0.tar.bz2”h+Œ 4a62c93c1b5c0b920508ae3fd285eaf5”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/isodate-0.6.1-pyhd8ed1ab_0.tar.bz2”h0Œ@af8f801e093da52a50ca0ea0510dfaf6898fea37e66d08d335e370235dede9fc”h2NhNh3Œpython >=3.6”Œsix”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØnƒ!.$ÝhEM+qhFˆubh)”}”(hŒlibx11-devel-cos6-x86_64”h#Œ1.6.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ4libx11-devel-cos6-x86_64-1.6.4-ha826a6f_1103.tar.bz2”h+Œ ab0cd6368502edebc6f681fa1ed3068a”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos6-x86_64-1.6.4-ha826a6f_1103.tar.bz2”h0Œ@04dfd9f170670f15b887004adfdf7e6b6b0ae124a17d666491ca2af0fa3699f1”h2NhNh3Œ!libx11-cos6-x86_64 ==1.6.4 *_1103”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2×ýôhEJ¯8 hFˆubh)”}”(hŒr-ppcor”h#Œ1.1”h%Œr36_1003”h'Mëhhh(h)hŒr-ppcor-1.1-r36_1003.tar.bz2”h+Œ 9db2fd6e568c6ec126a05badb2e8a472”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/r-ppcor-1.1-r36_1003.tar.bz2”h0Œ@4c0c72e37f91f3bf903134ef3d7048af8f8ed610389884d491d3c904eabde9be”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬lìw;dhEMÄ hFˆubh)”}”(hŒcloud_sptheme”h#Œ1.10.1.post20200504175005”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ<cloud_sptheme-1.10.1.post20200504175005-pyhd8ed1ab_1.tar.bz2”h+Œ 6cbb205e63b263ed0e9e1919d849ce52”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/cloud_sptheme-1.10.1.post20200504175005-pyhd8ed1ab_1.tar.bz2”h0Œ@402bebfe678f9f945258f1a34264a5f07c339cd127f12ccb7a183660e6c72a8b”h2NhNh3Œpython >=2.7”Œsphinx >=1.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØR5Âo;dhEJS& hFˆubh)”}”(hŒr-shinydashboard”h#Œ0.7.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ,r-shinydashboard-0.7.2-r41hc72bb7e_0.tar.bz2”h+Œ 71d01d9566d612fc10b4ba349b2cf39d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-shinydashboard-0.7.2-r41hc72bb7e_0.tar.bz2”h0Œ@c94a9da12edab164abc871b16560b125455b397ea20c6d2c3e57971f1e4cbd13”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-htmltools >=0.2.6”Œ
r-promises”Œr-shiny >=1.0.0”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØUš€©7LhEJM• hFˆubh)”}”(hŒlibxcb-cos6-x86_64”h#Œ1.12”h%Œha826a6f_103”h'Kghhh(h)hŒ,libxcb-cos6-x86_64-1.12-ha826a6f_103.tar.bz2”h+Œ a727ae7fdab916b298755bfad8fefc0d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/libxcb-cos6-x86_64-1.12-ha826a6f_103.tar.bz2”h0Œ@ac0c3da993fef4154364998f7ca7cfad87664de4bae85e24802597cd02b3390a”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ/$ bNhEJÚ hFˆubh)”}”(hŒlibsoup-devel-cos7-aarch64”h#Œ2.62.2”h%Œh9b0a68f_105”h'Kihhh(h)hŒ6libsoup-devel-cos7-aarch64-2.62.2-h9b0a68f_105.tar.bz2”h+Œ 92cb0b19d6e1197b81ef6c7c051e2e60”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos7-aarch64-2.62.2-h9b0a68f_105.tar.bz2”h0Œ@514b11ee775e315526c5e42268083ef159a12bc121dc1120779f1a8bb08e1aa2”h2NhNh3Œ#libsoup-cos7-aarch64 ==2.62.2 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@^ ô(öhEJéK hFˆubh)”}”(hŒtiled-sparse”h#Œ0.1.0a75”h%Œ
hd8ed1ab_0”h'K hhh(h)hŒ(tiled-sparse-0.1.0a75-hd8ed1ab_0.tar.bz2”h+Œ 70a8ee324e9d81ad9f1a5bbb8060d8b8”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/tiled-sparse-0.1.0a75-hd8ed1ab_0.tar.bz2”h0Œ@9d3789e71c8906337a782dc0a8216845410f62ce5a06c373686083b03a96a48c”h2NhNh3(Œndindex”Œpyarrow”Œsparse >=0.13.0”Œtiled-base >=0.1.0a.75,<0.1.1a”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGAØÒq˜ÎÙhEMhhFˆubh)”}”(hŒ
meautility”h#Œ1.5.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%meautility-1.5.1-pyhd8ed1ab_0.tar.bz2”h+Œ 20d8f60f219c0ee87fb176af8501994d”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/meautility-1.5.1-pyhd8ed1ab_0.tar.bz2”h0Œ@d920de790c5186d2e8dbfb95d5822a395ad18041a15fe06114f8d9747a9ec361”h2NhNh3(Œmatplotlib-base”Œnumpy”Œpython >=3.6”Œpyyaml”t”h9h?h@ŒGPL-3.0-only”hBŒGPL3”hDGAØWƒÅ¸hEM¤hFˆubh)”}”(hŒr-d3heatmap”h#Œ0.6.1.2”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ,r-d3heatmap-0.6.1.2-r35h6115d3f_1002.tar.bz2”h+Œ 2cafa3c279bb29ef0254391618d2cd42”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-d3heatmap-0.6.1.2-r35h6115d3f_1002.tar.bz2”h0Œ@cc92a7aca4a98a71a6a39ec13ac16b791f64f0c079846c7fadc739834a472713”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-base64enc”Œr-dendextend >=0.18.0”Œr-htmlwidgets”Œr-png”Œr-scales >=0.2.5”t”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×MpH ÅhEJÅž hFˆubh)”}”(hŒsegtok”h#Œ1.5.11”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"segtok-1.5.11-pyhd8ed1ab_0.tar.bz2”h+Œ 1c9b06bc4ba989111cfa5a10df8c3147”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/segtok-1.5.11-pyhd8ed1ab_0.tar.bz2”h0Œ@015eb887e446439de335fc5f2ab9b68b388886ad6c2ec5985922a1eb6799a8d1”h2NhNh3Œpython >=3.6”Œregex”†”h9h?h@ŒMIT”hBŒMIT”hDGAØz:Ú°!hEMFfhFˆubh)”}”(hŒlibxi-cos7-aarch64”h#Œ1.7.9”h%Œha826a6f_1103”h'MOhhh(h)hŒ.libxi-cos7-aarch64-1.7.9-ha826a6f_1103.tar.bz2”h+Œ e40764f5117588c78e527e592562d815”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libxi-cos7-aarch64-1.7.9-ha826a6f_1103.tar.bz2”h0Œ@1e6ba31348351b18255ebc24ec1a36cbacfe981a969e6932974e359353c5283b”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1103”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2]ã÷ÏhEMÙhFˆubh)”}”(hŒr-kpmt”h#Œ0.1.0”h%Œr40hc72bb7e_1003”h'Mëhhh(h)hŒ%r-kpmt-0.1.0-r40hc72bb7e_1003.tar.bz2”h+Œ 2ad2f7e7ae4d450c9dd803039cd36e2f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-kpmt-0.1.0-r40hc72bb7e_1003.tar.bz2”h0Œ@d41d3de1a3eeeb8b066817e4ada658111e1f221d6f86122c4380bac9e5d32ed1”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-matrixstats”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ+# ~¸RhEJeO hFˆubh)”}”(hŒp11-kit-cos7-ppc64le”h#Œ0.23.5”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0p11-kit-cos7-ppc64le-0.23.5-h9d98e8f_104.tar.bz2”h+Œ e899b04486b34454f9dd7666aa5f6d8a”h.Œ^https://conda.anaconda.org/conda-forge/noarch/p11-kit-cos7-ppc64le-0.23.5-h9d98e8f_104.tar.bz2”h0Œ@fa4368f15cdba4a676540742eb44ff863ed27340cb969d255818655d58fce3f1”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×Éy|yxÕhEJƒQ hFˆubh)”}”(hŒ
r-mlr3data”h#Œ0.6.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-mlr3data-0.6.1-r41hc72bb7e_0.tar.bz2”h+Œ f2727e24326621760e885c01a74c12fe”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-mlr3data-0.6.1-r41hc72bb7e_0.tar.bz2”h0Œ@60425d7bc7aba95e9e094be425e8bfc039a0d792fc5a161a9afb301f7bf10f29”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØ¾Œ"sohEJÍ? hFˆubh)”}”(hŒr-poissonreg”h#Œ1.0.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-poissonreg-1.0.1-r42hc72bb7e_1.tar.bz2”h+Œ df62074833acd61ee6ba874f643375a6”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-poissonreg-1.0.1-r42hc72bb7e_1.tar.bz2”h0Œ@1d2e81409f0ae0af5951618bc0de264085f5fe1263a8eab6a917d3f08f39799a”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-glue”Œr-parsnip >=0.1.0”Œr-purrr”Œr-rlang”Œr-tibble”Œr-tidyr”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÒ6O•ó¶hEJgI hFˆubh)”}”(hŒpython-bidi”h#Œ0.4.2”h%Œpy_0”h'K hhh(h)hŒpython-bidi-0.4.2-py_0.tar.bz2”h+Œ 09ac84a405b0b73c8682eeb3d816144c”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/python-bidi-0.4.2-py_0.tar.bz2”h0Œ@929552a93d004d23f450ddf72132ec857a54fa0ab53d2303212a01a9e7091140”h2NhNh3Œpython”Œsix”†”h9h?h@ŒLGPLv3”hBŒLGPL”hDGA×G}õÜ(öhEMshFˆubh)”}”(hŒlml”h#Œ0.1.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒlml-0.1.0-pyh9f0ad1d_0.tar.bz2”h+Œ b5f6577987f644b285a4b6a2b6ce13ca”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/lml-0.1.0-pyh9f0ad1d_0.tar.bz2”h0Œ@39586973acac91f0455e988274d37757bd64033bf8f69282359e46cdae597c56”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ä-@å`hEM4hFˆubh)”}”(hŒr-mustat”h#Œ1.7.0”h%Œr40ha770c72_1002”h'Mêhhh(h)hŒ'r-mustat-1.7.0-r40ha770c72_1002.tar.bz2”h+Œ 735f8f673db751c040a885306fd9079a”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mustat-1.7.0-r40ha770c72_1002.tar.bz2”h0Œ@7d911517c58c7430c0ea75accf7215764be9345f267269986e6e65058bd77064”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ,4ÊËC–hEJá^ hFˆubh)”}”(hŒ
r-survtmle”h#Œ1.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-survtmle-1.1.1-r41hc72bb7e_0.tar.bz2”h+Œ dcb30b9de2cfe03d47cfe75960094ebb”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-survtmle-1.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@ab41300ba48d8a10c6c4805c4ab821d2434d0baaab01a3d269d79b44869cd028”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ	r-ggplot2”Œr-ggsci”Œr-matrix”Œr-plyr”Œ
r-speedglm”Œ	r-stringr”Œr-superlearner”Œr-tidyr >=0.8.0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÓµôAë…hEJþ69 hFˆubh)”}”(hŒr-varhandle”h#Œ2.0.5”h%Œr36h6115d3f_0”h'K hhh(h)hŒ'r-varhandle-2.0.5-r36h6115d3f_0.tar.bz2”h+Œ 977791393c898e6cb63f2ac404728dd5”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-varhandle-2.0.5-r36h6115d3f_0.tar.bz2”h0Œ@186fb41a1e6c45290d935c454ff03f1035b91d2aa25efdf73fb0ac648614da92”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×“ä>xr°hEJ…= hFˆubh)”}”(hŒr-uiucthemes”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ(r-uiucthemes-0.3.1-r41hc72bb7e_0.tar.bz2”h+Œ 0f9d004c0b9d27e96bea329b08dce8d7”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-uiucthemes-0.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@abba45ad1ca20de4a948a468b5b268b14b3931215bf95a9f6bea56e0a7626d26”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-rmarkdown >=2.2”Œr-xaringan >=0.16.0”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØ,6Š^5hEJøh hFˆubh)”}”(hŒdash-bio-utils”h#Œ0.0.8”h%Œpyhd8ed1ab_1”h'Khhh(h)hŒ)dash-bio-utils-0.0.8-pyhd8ed1ab_1.tar.bz2”h+Œ 2507ce35b932b72f4f5d93a20a301905”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/dash-bio-utils-0.0.8-pyhd8ed1ab_1.tar.bz2”h0Œ@59f0a535e019f8f9b0ad34729b252879b6615e0e0a034ae481afa36c0b25b48c”h2NhNh3(Œ	biopython”Œcolour”Œgeoparse >=1.1.0”Œ
jsonschema”Œpandas”Œparmed”Œperiodictable”Œpython >=3.6”Œrequests”Œtyping_extensions”t”h9h?h@ŒMIT”hBŒMIT”hDGAØj«—´9XhEMúQhFˆubh)”}”(hŒr-climate4r.datasets”h#Œ0.0.1”h%Œr36ha770c72_0”h'K hhh(h)hŒ0r-climate4r.datasets-0.0.1-r36ha770c72_0.tar.bz2”h+Œ 11497f7f524254bcb80cdba14c0b745d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/r-climate4r.datasets-0.0.1-r36ha770c72_0.tar.bz2”h0Œ@e3e86a5dfcca37f4cd51711056a6dc9184e19da233aefc32c29d8d08aa4af567”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒLGPL-3.0-or-later”hBŒLGPL”hDGAØ ê…ƒdZhEJQ;shFˆubh)”}”(hŒfileinspector”h#Œ1.0.2”h%Œpyh8c360ce_0”h'K hhh(h)hŒ(fileinspector-1.0.2-pyh8c360ce_0.tar.bz2”h+Œ db0222bfe658d10ba61fe49acfc9b3d4”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/fileinspector-1.0.2-pyh8c360ce_0.tar.bz2”h0Œ@8bbc3fa672a16787a41e4265baebcf48b3e4eae1c1d1c25a6a90cfd8d9edd6ae”h2NhNh3Œpython”…”h9h?h@ŒGPLv3”hBŒGPL”hDGA×šîæY&éhEMOhFˆubh)”}”(hŒr-ppls”h#Œ1.6_1.1”h%Œr35h6115d3f_1001”h'Méhhh(h)hŒ'r-ppls-1.6_1.1-r35h6115d3f_1001.tar.bz2”h+Œ b79a8fafaa1e259c894a3f21993aa418”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ppls-1.6_1.1-r35h6115d3f_1001.tar.bz2”h0Œ@885076252aaa9f25722d936de324873b1ed1eb36781cd47b7a6e83ef52eb9b07”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œr-mass”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×LgdCSøhEJæU hFˆubh)”}”(hŒr-spls”h#Œ2.2_3”h%Œr35h6115d3f_1”h'Khhh(h)hŒ"r-spls-2.2_3-r35h6115d3f_1.tar.bz2”h+Œ ba39daed1c2376efc129e26be7cc32f2”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-spls-2.2_3-r35h6115d3f_1.tar.bz2”h0Œ@d56f4fad93a68ac8e5c2d4b84513f0300301f51b5877530e29505a7bf876cb42”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-mass”Œr-nnet”Œr-pls”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L¡ÕŸ²hEJx»& hFˆubh)”}”(hŒr-thinkr”h#Œ0.16”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ#r-thinkr-0.16-r40hc72bb7e_0.tar.bz2”h+Œ b88e85600928a19ea847ec241eb335a6”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-thinkr-0.16-r40hc72bb7e_0.tar.bz2”h0Œ@c6e118085910a3c1ea7b6b921767c5b0d905e5cfd733e5f85c0bcde046a993eb”h2NhNh3(Œr-assertthat”Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œ
r-devtools”Œr-dplyr”Œ	r-ggplot2”Œ
r-lazyeval”Œr-lubridate”Œ
r-magrittr”Œ	r-officer”Œr-purrr”Œr-readr”Œr-rvg”Œ	r-stringi”Œ	r-stringr”Œr-tidyr”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÁa.VhEJ~ hFˆubh)”}”(hŒr-faviconplease”h#Œ0.1.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ+r-faviconplease-0.1.2-r41hc72bb7e_0.tar.bz2”h+Œ 2ecca52aec8f7b4d2e1b34eadaa459a7”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-faviconplease-0.1.2-r41hc72bb7e_0.tar.bz2”h0Œ@0be1d4eb0d77e2e07a8b96a1151472d45182aa7108f247a1562adce47a11fb99”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-xml2”†”h9hºh@ŒMIT”hBŒMIT”hDGAØLÜ1hEMVhFˆubh)”}”(hŒr-clustvarsel”h#Œ2.3.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ)r-clustvarsel-2.3.4-r41hc72bb7e_0.tar.bz2”h+Œ 0dca81805e80d9c30acf6f6255ba00f9”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-clustvarsel-2.3.4-r41hc72bb7e_0.tar.bz2”h0Œ@1f4d36fe39f0698ed7209e660a2e3a5b5a03355dec0a82f2342a205a0e3e5b44”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-bma >=3.18”Œ	r-foreach”Œr-iterators”Œr-matrix”Œr-mclust >=5.3”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+eg>ùÛhEJø, hFˆubh)”}”(hŒrfpimp”h#Œ1.3.2”h%Œpy_0”h'K hhh(h)hŒrfpimp-1.3.2-py_0.tar.bz2”h+Œ e3018f38489092cb16ac6c3ebd87a79f”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/rfpimp-1.3.2-py_0.tar.bz2”h0Œ@8db526feaef7c6f044bb91f16830fa5acb4b27cf1ed8f83d076955af18b0d5b0”h2NhNh3(Œ
matplotlib”Œnumpy”Œpandas”Œpython”Œscikit-learn”t”h9h?h@ŒMIT”hBŒMIT”hDGA×,kÁXhEM,1hFˆubh)”}”(hŒ	r-rphylip”h#Œ0.1_23”h%Œr41ha770c72_1003”h'Mëhhh(h)hŒ)r-rphylip-0.1_23-r41ha770c72_1003.tar.bz2”h+Œ adf877564c5339b0bd8223ef2c9e4203”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rphylip-0.1_23-r41ha770c72_1003.tar.bz2”h0Œ@c2975c7d6676baa103620ec75ac3e3314dc7956b728e6b7a24f9b03cb9ee0a4a”h2NhNh3Œr-ape >=3.0_10”Œr-base >=4.1,<4.2.0a0”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+&Ž¸RhEJÄ‰ hFˆubh)”}”(hŒr-ggpointless”h#Œ0.0.3”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ)r-ggpointless-0.0.3-r41hc72bb7e_1.tar.bz2”h+Œ e4ee58aee05c760202c7639d1b325a8b”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-ggpointless-0.0.3-r41hc72bb7e_1.tar.bz2”h0Œ@d399d4e3f3fec6193b6c91bebf597062ad1a3b393820e270191c453cdb565918”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-ggplot2 >=3.3.0”†”h9hºh@ŒMIT”hBŒMIT”hDGAØÒqÑXhEJlw hFˆubh)”}”(hŒlibsoup-cos7-aarch64”h#Œ2.62.2”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0libsoup-cos7-aarch64-2.62.2-h9d98e8f_104.tar.bz2”h+Œ 617f027379afc3ec7c268587aa0f84d5”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libsoup-cos7-aarch64-2.62.2-h9d98e8f_104.tar.bz2”h0Œ@2ea0e84172ae25d2239a1f3195518a8906b9238cc49d32e3896b01436f2f7e2c”h2NhNh3Œ+glib-networking-cos7-aarch64 >=2.38.0 *_104”Œ!glib2-cos7-aarch64 >=2.38.0 *_104”†”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGA×É|š3÷ÏhEJT9 hFˆubh)”}”(hŒjut”h#Œ0.0.24”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒjut-0.0.24-pyhd8ed1ab_0.tar.bz2”h+Œ eeacb1e914d858c95e12d599b8767df3”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/jut-0.0.24-pyhd8ed1ab_0.tar.bz2”h0Œ@4ed38992bcde75b65d127e1cdcdc3e0eccbd6ea63050c11f213bd046168a5809”h2NhNh3(Œclick 7.1.2”Œnbformat 5.1.2”Œpydantic 1.8.1”Œpython >=3.6,<4.0”Œrich 9.13.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ·1`ÄœhEM;+hFˆubh)”}”(hŒr-abind”h#Œ1.4_5”h%Œr351h6115d3f_1001”h'Méhhh(h)hŒ'r-abind-1.4_5-r351h6115d3f_1001.tar.bz2”h+Œ 787c390ab19125e8dfa06c6753009d77”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-abind-1.4_5-r351h6115d3f_1001.tar.bz2”h0Œ@278075a8bfcf60913d014d8a90c19aa8b8ea46c8196574695a60f441455284bf”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGA×½â~úhEJ¼- hFˆubh)”}”(hŒ	xlcompose”h#Œ0.3.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$xlcompose-0.3.1-pyhd8ed1ab_0.tar.bz2”h+Œ 07724df0ab0caf6e8f6503561e7d360e”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/xlcompose-0.3.1-pyhd8ed1ab_0.tar.bz2”h0Œ@1366f3df01ce5d1e7da211f3f052989e6dbca47d23f414ecaa77a900e8632154”h2NhNh3(Œjinja2”Œpandas”Œpython >=3.5”Œpyyaml”Œxlsxwriter >=1.1.8”t”h9h?h@ŒMIT”hBŒMIT”hDGAØjþf§ðhEM@hFˆubh)”}”(hŒwaitress”h#Œ2.1.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#waitress-2.1.2-pyhd8ed1ab_0.tar.bz2”h+Œ 6a44302a7502c1c9c7becdc40d465466”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/waitress-2.1.2-pyhd8ed1ab_0.tar.bz2”h0Œ@bf474e94d59d5e79c6dda9b4b6f4aa14615ab80517ad2b0b95ae30cbecfbee6e”h2NhNh3Œpython >=3.6”…”h9h?h@ŒZPL-2.0”hBŒOTHER”hDGAØ¥[kãThEM¬·hFˆubh)”}”(hŒdefaultlist”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&defaultlist-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 7b14aa341eb8ee46f1a5677b74b35005”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/defaultlist-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@f51cbf38f015f63e6bd37ca17db2134d11ba67a87fad6aec79cf5dae7e8fbd4d”h2NhNh3Œpython >=2.6”…”h9h?h@ŒGPL-3.0-or-later”hBŒGPL”hDGAØ¸ÝhEM½OhFˆubh)”}”(hŒlibxtst-cos7-aarch64”h#Œ1.2.3”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ0libxtst-cos7-aarch64-1.2.3-h9d98e8f_1104.tar.bz2”h+Œ 72c018d5e6ae3a8bc8d364b29b225501”h.Œ^https://conda.anaconda.org/conda-forge/noarch/libxtst-cos7-aarch64-1.2.3-h9d98e8f_1104.tar.bz2”h0Œ@4b82ace6074a6df13690f9fe0f2356112f5b69e7ad771b3723dd9e829da61203”h2NhNh3Œ'libx11-cos7-aarch64 >=1.5.99.902 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~oG+hEMHhFˆubh)”}”(hŒr-mxmmod”h#Œ1.1.0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ$r-mxmmod-1.1.0-r40hc72bb7e_0.tar.bz2”h+Œ 92f7f29664cc05a1a6e5a3adf833ce45”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mxmmod-1.1.0-r40hc72bb7e_0.tar.bz2”h0Œ@f72bd50c5df4054aabce8632775b974bb9f0232fc0b362e88d9f5179c4021330”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-openmx”†”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ) /0A‰hEJj+ hFˆubh)”}”(hŒgdk-pixbuf2-devel-cos6-x86_64”h#Œ2.24.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ9gdk-pixbuf2-devel-cos6-x86_64-2.24.1-h9b0a68f_105.tar.bz2”h+Œ 59bd91f0db6a1f72a358136068913642”h.Œghttps://conda.anaconda.org/conda-forge/noarch/gdk-pixbuf2-devel-cos6-x86_64-2.24.1-h9b0a68f_105.tar.bz2”h0Œ@f5bfe8cf47d6f1b4d21cfb24505528cefa55baeb88de34448e4f85c650f773f1”h2NhNh3Œ&gdk-pixbuf2-cos6-x86_64 ==2.24.1 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@Œ2LGPLv2+ and (LGPLv2+ or MPLv1.1) and Public Domain”hBŒLGPL”hDGAØ@W`b¬hEJ‡¿ hFˆubh)”}”(hŒr-eva”h#Œ0.2.6”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ!r-eva-0.2.6-r40hc72bb7e_0.tar.bz2”h+Œ 0e7201015c862dd6ee149a88a32dfa12”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-eva-0.2.6-r40hc72bb7e_0.tar.bz2”h0Œ@66106cb506e077db97c1477eb240e4d995715580c1fd0c546e2dce99640fed2d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
r-envstats”Œr-matrix”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×ì^IO®hEJªû# hFˆubh)”}”(hŒr-qqman”h#Œ0.1.8”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-qqman-0.1.8-r41hc72bb7e_1.tar.bz2”h+Œ caf9b5d60fa82559cf4dd794343817c4”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-qqman-0.1.8-r41hc72bb7e_1.tar.bz2”h0Œ@60ed0bafe0dc1b564904ba3cea66901697e8e63eaf8c22e68a1b2257dc7ab832”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-calibrate”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGAØÒ/ÿ;C–hEJúî hFˆubh)”}”(hŒgeodatatool”h#Œ0.0.5”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&geodatatool-0.0.5-pyhd8ed1ab_0.tar.bz2”h+Œ 4ca53fa74a14c3f0c9c031843d41d9ab”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/geodatatool-0.0.5-pyhd8ed1ab_0.tar.bz2”h0Œ@8b566179cfa5a6147c23dfb1bfa030245489cfc20d601ea77489b2d9bb35e7ea”h2NhNh3(Œearthengine-api”Œfolium”Œ
ipyleaflet”Œpillow”Œpyshp”Œpython >=3.6”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ%\‰ËC–hEML&hFˆubh)”}”(hŒr-assertive.data”h#Œ0.0_3”h%Œr351h6115d3f_0”h'K hhh(h)hŒ-r-assertive.data-0.0_3-r351h6115d3f_0.tar.bz2”h+Œ 4c1cceccfd395fd138253ac2e2d0f52a”h.Œ[https://conda.anaconda.org/conda-forge/noarch/r-assertive.data-0.0_3-r351h6115d3f_0.tar.bz2”h0Œ@83ce5037f167a1ea27894d3594bdcee399ed4af9cb9f4b4c433d809d5b0d84d5”h2NhNh3Œr-assertive.base >=0.0_2”Œr-assertive.strings”Œr-base >=3.5.1,<3.5.2.0a0”‡”h9hºh@Œ
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setuptools”t”h9h?h@ŒMIT”hBŒMIT”hDGAØÊðZÙÛ#hEM€ShFˆubh)”}”(hŒtzlocal”h#Œ2.1”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ tzlocal-2.1-pyh9f0ad1d_0.tar.bz2”h+Œ 9d16668487f3fd44290d9fdbbd25b283”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/tzlocal-2.1-pyh9f0ad1d_0.tar.bz2”h0Œ@07a17695535214439702bcbf91e1b606f66eeca1cc324c4526d26d27bf36df5e”h2NhNh3Œpython”Œpytz”†”h9h?h@ŒMIT”hBŒMIT”hDGA×­R…¹Û#hEMKFhFˆubh)”}”(hŒgtkmm24-devel-cos7-ppc64le”h#Œ2.24.5”h%Œha826a6f_103”h'Kghhh(h)hŒ6gtkmm24-devel-cos7-ppc64le-2.24.5-ha826a6f_103.tar.bz2”h+Œ dce39708078186f43c99d6a6eecd511b”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/gtkmm24-devel-cos7-ppc64le-2.24.5-ha826a6f_103.tar.bz2”h0Œ@8a8d3e3c4e601bd44f74e0104bd97d13869e9e5800bbcd2acdf87f7b00db949e”h2NhNh3Œ#gtkmm24-cos7-ppc64le ==2.24.5 *_103”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ{QiûçhEJñ„ hFˆubh)”}”(hŒpyemma_tutorials”h#Œ1.0b”h%j3G h'K hhh(h)hŒpyemma_tutorials-1.0b-0.tar.bz2”h+Œ bb98b720c5a6419a97a78f19bf1e00ee”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/pyemma_tutorials-1.0b-0.tar.bz2”h0Œ@03d2b9f58d205cb83edfae331242a919bb876d95103d1bebf8fb6f3ee0251e0d”h2NhNh3(Œjupyter_contrib_nbextensions”Œmdshare”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÁöa–VhEM²¢hFˆubh)”}”(hŒr-assertthat”h#Œ0.2.1”h%Œr40h6115d3f_2”h'Khhh(h)hŒ(r-assertthat-0.2.1-r40h6115d3f_2.tar.bz2”h+Œ 74d00e66204346166118faf533be43df”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-assertthat-0.2.1-r40h6115d3f_2.tar.bz2”h0Œ@72d7550ad54eed749b083e24e5437089abb492ef16ccb376045c634bb4e5e57a”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×«1K65?hEJ hFˆubh)”}”(hŒfeets”h#Œ0.4”h%Œpy_0”h'K hhh(h)hŒfeets-0.4-py_0.tar.bz2”h+Œ 600bef8f1d09b809b09f7bcdf8c41bdc”h.ŒDhttps://conda.anaconda.org/conda-forge/noarch/feets-0.4-py_0.tar.bz2”h0Œ@41a59500314d3a3f51699046b27e37f0106c150921c2b262809b66a7853ee0fa”h2NhNh3(Œastropy”Œattrs”Œmock”Œnumpy”Œpandas”Œpytest”Œpython”Œrequests”Œscipy”Œsix”Œstatsmodels”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Oúà«33hEJ×& hFˆubh)”}”(hŒ python-javapackages-cos7-aarch64”h#Œ3.4.1”h%Œhdf0574f_102”h'Kfhhh(h)hŒ;python-javapackages-cos7-aarch64-3.4.1-hdf0574f_102.tar.bz2”h+Œ e6e7776ed3aeeedfb5746764609fa792”h.Œihttps://conda.anaconda.org/conda-forge/noarch/python-javapackages-cos7-aarch64-3.4.1-hdf0574f_102.tar.bz2”h0Œ@ffda566a10961ad04b083020aad05e48b0226fb37cd8a6d0814e89bd61d7f3c1”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ'0bNhEMÔ/hFˆubh)”}”(hŒr-jmv”h#Œ2.3.4”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ!r-jmv-2.3.4-r42hc72bb7e_1.tar.bz2”h+Œ a5c6123d95d1cd01fa85e865f0fbbe12”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-jmv-2.3.4-r42hc72bb7e_1.tar.bz2”h0Œ@eeb10c402b19a7eb8508477768f51449e2dba04bb9269619ba977ccd5b5cd886”h2NhNh3(Œr-afex >=0.28_0”Œr-base >=4.2,<4.3.0a0”Œr-bayesfactor”Œr-car >=3.0.0”Œr-dplyr”Œr-emmeans >=1.4.2”Œr-ggally”Œr-ggplot2 >=2.2.1”Œ	r-ggrepel”Œ
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r-tsstudio”h#Œ0.1.6”h%Œr42hc72bb7e_0”h'K hhh(h)hŒ&r-tsstudio-0.1.6-r42hc72bb7e_0.tar.bz2”h+Œ 76d4cb227c58b3f191657b6ca17d367f”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tsstudio-0.1.6-r42hc72bb7e_0.tar.bz2”h0Œ@6beb5162d81f2b0014e280adecacfdcd0e353ab095dc99847f77f99b1a86d6eb”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-data.table >=1.11.2”Œr-dplyr >=0.7.5”Œr-forecast >=8.2”Œr-forecasthybrid >=2.0.10”Œr-future >=1.10.0”Œr-future.apply >=1.0.1”Œr-lubridate >=1.6.0”Œr-magrittr >=1.5”Œr-plotly >=4.7.1”Œr-purrr >=0.2.5”Œr-rcolorbrewer >=1.1_2”Œr-reshape2 >=1.4.2”Œr-scales >=1.0.0”Œr-tidyr >=0.8.1”Œr-tsibble >=0.8.2”Œr-viridis >=0.5.1”Œr-xts >=0.12_0”Œr-zoo >=1.8_0”t”h9hºh@ŒMIT”hBŒMIT”hDGAØÖé4?;dhEJ¥à hFˆubh)”}”(hŒxcb-util-cos7-aarch64”h#Œ0.4.0”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0xcb-util-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h+Œ 855789da34b66b6ff1f88ea6297f834c”h.Œ^https://conda.anaconda.org/conda-forge/noarch/xcb-util-cos7-aarch64-0.4.0-h9d98e8f_104.tar.bz2”h0Œ@ee4d7dd8507254d6943b4fd370f6a97eda5f4ba389af5c0218b6e0aefbe16ee5”h2NhNh3)h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ9Óv´jhEMy;hFˆubh)”}”(hŒminingpy”h#Œ0.6.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#miningpy-0.6.3-pyhd8ed1ab_0.tar.bz2”h+Œ 0e35037fb337ad513656d66038adfb11”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/miningpy-0.6.3-pyhd8ed1ab_0.tar.bz2”h0Œ@033567e7612c9bab7de88b6dcea26ec0f280f2b51b6d3d7470cdcf22062a15df”h2NhNh3(Œezdxf >=0.13.1”Œmatplotlib-base”Œnumpy >=1.19.0”Œpandas >=1.0”Œpyqt”Œpython >=3.7”Œpyvista >=0.32,!=0.35.2”Œ	pyvistaqt”Œvtk >=9.1.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ¸ˆ98QìhEJæ hFˆubh)”}”(hŒr-ppls”h#Œ1.6_1.1”h%Œr41hc72bb7e_1003”h'Mëhhh(h)hŒ'r-ppls-1.6_1.1-r41hc72bb7e_1003.tar.bz2”h+Œ 3b9b84cbcb02ce863e41aebbaab77140”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-ppls-1.6_1.1-r41hc72bb7e_1003.tar.bz2”h0Œ@cc3e07d0f9782fb1f6c271ffb4c8331568431d9f1da054534fe239969be6e443”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑåqXhEJb hFˆubh)”}”(hŒ	pymedphys”h#Œ0.11.0”h%Œpy_0”h'K hhh(h)hŒpymedphys-0.11.0-py_0.tar.bz2”h+Œ 391ae2265175155eed833939d125d298”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/pymedphys-0.11.0-py_0.tar.bz2”h0Œ@6ef7775489dfa2c2262b0c4c243c6914880303068fbca18afe016c3d11f2e54e”h2NhNh3(Œpymedphys_analysis 0.11.0 py_0”Œpymedphys_base 0.11.0 py_0”Œ%pymedphys_coordsandscales 0.11.0 py_0”Œpymedphys_databases 0.11.0 py_0”Œpymedphys_dicom 0.11.0 py_0”Œ%pymedphys_electronfactors 0.11.0 py_0”Œ!pymedphys_fileformats 0.11.0 py_0”Œpymedphys_gamma 0.11.0 py_0”Œpymedphys_labs 0.11.0 py_0”Œpymedphys_logfiles 0.11.0 py_0”Œpymedphys_mudensity 0.11.0 py_0”Œpymedphys_pinnacle 0.11.0 py_0”Œpymedphys_utilities 0.11.0 py_0”Œpymedphys_xlwings 0.11.0 py_0”Œpython >=3.7”t”h9h?h@Œ1GNU Affero General Public v3 or later (AGPL-3.0+)”hBŒAGPL”hDGA×]é‡¾whEMhFˆubh)”}”(hŒ
r-sandwich”h#Œ3.0_2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-sandwich-3.0_2-r41hc72bb7e_0.tar.bz2”h+Œ 45a9f6a932b0c163489863479b367325”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sandwich-3.0_2-r41hc72bb7e_0.tar.bz2”h0Œ@74ab34f71b4174fb1b53cf40c4c6ee0ba1cb73c99e0641e7e32417d183184bbe”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-zoo”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØªvbª¬hEJ,r hFˆubh)”}”(hŒdaphne”h#Œ3.0.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ!daphne-3.0.2-pyhd8ed1ab_0.tar.bz2”h+Œ d1c661aadcfec5b57e486a42acacd756”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/daphne-3.0.2-pyhd8ed1ab_0.tar.bz2”h0Œ@4251cb828dc49f9cebc01bdd979e9681b14b8daeecc235db074df76ed95e82a3”h2NhNh3(Œasgiref >=3.2,<4”Œautobahn >=0.18”Œ
python >=3”Œtwisted >=18.7”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ†û£×hEM`hFˆubh)”}”(hŒweb.py”h#Œ0.62”h%Œpyhd3deb0d_0”h'K hhh(h)hŒ web.py-0.62-pyhd3deb0d_0.tar.bz2”h+Œ e1901431c44e162b60186d1689bdb7d7”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/web.py-0.62-pyhd3deb0d_0.tar.bz2”h0Œ@fc97c8a1ca193a4321ccc7c51961167ed4482b6bba391dea3b66bb499a6d1d5e”h2NhNh3Œpython”…”h9h?h@ŒPublic domain”hDGA×ë7PýOßhEJ4 hFˆubh)”}”(hŒ
r-editdata”h#Œ0.1.8”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ&r-editdata-0.1.8-r42hc72bb7e_1.tar.bz2”h+Œ 6c150d4134941949eb85318170575b92”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-editdata-0.1.8-r42hc72bb7e_1.tar.bz2”h0Œ@0318f4127684f0b782df7db0e0e8fc88851dd1822d4e3a88152f4d59bba5176b”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-dplyr”Œr-dt >=0.17”Œ
r-magrittr”Œr-miniui >=0.1.1”Œ
r-openxlsx”Œr-rio”Œr-rstudioapi >=0.5”Œr-shiny >=0.13”Œr-shinywidgets”Œr-tibble”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑ¸QìhEJ/‚" hFˆubh)”}”(hŒnss-softokn-cos7-aarch64”h#Œ3.44.0”h%Œhdf0574f_1102”h'MNhhh(h)hŒ5nss-softokn-cos7-aarch64-3.44.0-hdf0574f_1102.tar.bz2”h+Œ 0a9fe48f488bbec0726c9050f6ca8f09”h.Œchttps://conda.anaconda.org/conda-forge/noarch/nss-softokn-cos7-aarch64-3.44.0-hdf0574f_1102.tar.bz2”h0Œ@48f05b1367228d2d60771122cef80fb8f98e3e9733463cef47c63d8fd5cc0515”h2NhNh3Œ!nspr-cos7-aarch64 >=4.21.0 *_1102”Œ%nss-util-cos7-aarch64 >=3.44.0 *_1102”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMPL-2.0”hBŒOther”hDGA×Å,Ni‰7hEJW hFˆubh)”}”(hŒengarde”h#Œ0.4.0”h%Œpy_1”h'Khhh(h)hŒengarde-0.4.0-py_1.tar.bz2”h+Œ 74c4db8b6912395fd6a71a87a151b0ef”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/engarde-0.4.0-py_1.tar.bz2”h0Œ@741498fcb8b814c308eccac96b5a96dd3f3033c1256785d4444759cb60fbaa66”h2NhNh3Œnumpy”Œpandas”Œpython”‡”h9h?h@ŒMIT”hBŒMIT”hEMy hFˆubh)”}”(hŒr-akmbiclust”h#Œ0.1.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-akmbiclust-0.1.0-r42hc72bb7e_1.tar.bz2”h+Œ fd66e78a3d998f243bf361607d06c5bc”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-akmbiclust-0.1.0-r42hc72bb7e_1.tar.bz2”h0Œ@5780ad43fe521310d7c5bd1aac0670f75e175042d03c59fd764bda950231542e”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ¯v¿ÎÙhEMhFˆubh)”}”(hŒgenanki”h#Œ0.13.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#genanki-0.13.0-pyhd8ed1ab_0.tar.bz2”h+Œ b2a963ce4f9a5377fc0c1cd311e770ea”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/genanki-0.13.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3f4a933f842ae2a6e2e947d196f5aba8ca87259d862fc9afffe415d48d4670ba”h2NhNh3(Œcached-property”Œchevron”Œ
frozendict”Œpython >=3.6”Œpyyaml”t”h9h?h@ŒMIT”hBŒMIT”hDGAØu&²hEM'<hFˆubh)”}”(hŒgtkmm24-cos7-ppc64le”h#Œ2.24.5”h%Œ
h1341992_0”h'K hhh(h)hŒ.gtkmm24-cos7-ppc64le-2.24.5-h1341992_0.tar.bz2”h+Œ 60efad55ba8ac9e625412fc1db509859”h.Œ\https://conda.anaconda.org/conda-forge/noarch/gtkmm24-cos7-ppc64le-2.24.5-h1341992_0.tar.bz2”h0Œ@64418100d5d732309d91199916629d2e6acdd1921a6061fc9bb258a9cbf5f6aa”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒLGPL (>= 2)”hBŒLGPL”hDGA×ŸÏxƒhEJtË hFˆubh)”}”(hŒ
mpeg1audio”h#Œ0.5.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%mpeg1audio-0.5.2-pyhd8ed1ab_0.tar.bz2”h+Œ 074095913d4f1c509fd28c862bfa5877”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/mpeg1audio-0.5.2-pyhd8ed1ab_0.tar.bz2”h0Œ@5067d8626140745c3d083e1ae9c6f603984d0ad81fc43bb5cf8be352b620e2e7”h2NhNh3Œpython >=2.5”…”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ_)º^hEMñOhFˆubh)”}”(hŒ	r-rcircos”h#Œ1.2.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ%r-rcircos-1.2.2-r42hc72bb7e_1.tar.bz2”h+Œ e2e130e7aa758f8848f05d79e3e518a5”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-rcircos-1.2.2-r42hc72bb7e_1.tar.bz2”h0Œ@78d39ee4834fc373384418aced8b09e1453aa14e3ac31f94547ccbeb299dbe14”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ'ú?}hEJ© hFˆubh)”}”(hŒr-tensr”h#Œ1.0.1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ&r-tensr-1.0.1-r36h6115d3f_1002.tar.bz2”h+Œ b4878f35a61379e49aaf298337dd4b8e”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-tensr-1.0.1-r36h6115d3f_1002.tar.bz2”h0Œ@d1855f332004ec28c30d956f27f9924cd940d6646475a967e51f18893519d229”h2NhNh3Œr-assertthat”Œr-base >=3.6,<3.7.0a0”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬J0u‘hhEJy- hFˆubh)”}”(hŒr-lmms”h#Œ1.3.3”h%Œr42hc72bb7e_2”h'Khhh(h)hŒ"r-lmms-1.3.3-r42hc72bb7e_2.tar.bz2”h+Œ 820b964f65e75ca52ab7246315aedad9”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmms-1.3.3-r42hc72bb7e_2.tar.bz2”h0Œ@c93f02e3cf573873afcec3f7f2c0c26f9c06c99edc74bf2853bfee9fbdf6d7f1”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-gdata”Œ	r-ggplot2”Œr-gplots”Œr-gridextra”Œr-lmesplines”Œr-nlme”Œ
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GPL (>= 2)”hBŒGPL3”hDGAØÑ£	¸QìhEJW[ hFˆubh)”}”(hŒr-credentials”h#Œ1.3.2”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-credentials-1.3.2-r40hc72bb7e_0.tar.bz2”h+Œ 85c4ecd9e12c60b6f103c763c7445653”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-credentials-1.3.2-r40hc72bb7e_0.tar.bz2”h0Œ@f9f1ebf94cd235be98a0f4db3cfbe0c1dd4267c5df22b6839fab528773da716b”h2NhNh3(Œ	r-askpass”Œr-base >=4.0,<4.1.0a0”Œr-curl”Œ
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Apache 2.0”hDGA×Q
h ÅhEM›+hFˆubh)”}”(hŒmore-itertools”h#Œ7.2.0”h%Œpy_0”h'K hhh(h)hŒ!more-itertools-7.2.0-py_0.tar.bz2”h+Œ 4518fceea3b4a7f8cc53b0442a5968eb”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/more-itertools-7.2.0-py_0.tar.bz2”h0Œ@be52d2d95823b7f16b5bac4b948d88b4efa94486fae6b30a8f28286a99aab73a”h2NhNh3Œpython >=3.4”…”h9h?h@ŒMIT”hBŒMIT”hDGA×P|¨ ÅhEM‘¿hFˆubh)”}”(hŒr-irr”h#Œ0.84.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ"r-irr-0.84.1-r41hc72bb7e_2.tar.bz2”h+Œ 90427bbd6c8691f6752413d08c43ec66”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-irr-0.84.1-r41hc72bb7e_2.tar.bz2”h0Œ@65b4cd3f70cdc22ad1b0f36e165a667593447ca82fe220a610a3acae45faae6c”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-lpsolve”†”h9hºh@Œ
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Apache-2.0”hBŒApache”hDGA×2¼%¸hEM8hFˆubh)”}”(hŒgb-code”h#Œ1.0.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"gb-code-1.0.0-pyhd8ed1ab_0.tar.bz2”h+Œ 4d83d3b1e95621ec68acf86488f8b12f”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/gb-code-1.0.0-pyhd8ed1ab_0.tar.bz2”h0Œ@4f52d3c744f0de08be4675c9eff648dc76bad9787cf96b5ab181785ff3065faa”h2NhNh3Œnumpy >=1.14.0”Œpython >=3.6”Œpyyaml”‡”h9h?h@ŒMIT”hBŒMIT”hDGA×òŸÅi©ühEM¢EhFˆubh)”}”(hŒbravado-core”h#Œ5.17.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(bravado-core-5.17.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7bfb3b4d72f85f1dbec1d230882991b9”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/bravado-core-5.17.1-pyhd8ed1ab_0.tar.bz2”h0Œ@809e0721cc03a928b6d85f84669e85eda0d99c9ca74ccdecb865762ac593eeb8”h2NhNh3(Œjsonref”Œjsonschema >=2.5.1”Œmsgpack-python >=0.5.2”Œpython >=3.6”Œpython-dateutil”Œpytz”Œpyyaml”Œrequests”Œ
simplejson”Œsix”Œswagger-spec-validator >=2.0.1”Œtyping”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÆxÙë…hEM0ÆhFˆubh)”}”(hŒriverrem”h#Œ1.0.4”h%Œpyh191b570_0”h'K hhh(h)hŒ#riverrem-1.0.4-pyh191b570_0.tar.bz2”h+Œ 06fdbd6e45a0cd1e5138bd0aebad96f5”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/riverrem-1.0.4-pyh191b570_0.tar.bz2”h0Œ@772f1f0115d449af479a7d1071dd9a0a757016b8fa3cefbdea9f256ee8b3f104”h2NhNh3(Œ
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pyzmq >=17”Œtornado >=6.1”Œtraitlets >=5.1.0”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØª»Ê|¬hEJå hFˆubh)”}”(hŒ
r-nlcoptim”h#Œ0.6”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ$r-nlcoptim-0.6-r41hc72bb7e_1.tar.bz2”h+Œ e4ad2a2da19bfac11c3cb5a0def3e23f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-nlcoptim-0.6-r41hc72bb7e_1.tar.bz2”h0Œ@ac5612abe1ddf6c63579e67f9d87d976821a69d8d236964c2bc185ca434958c0”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-mass”Œ
r-quadprog”‡”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+?"JhEJªF hFˆubh)”}”(hŒ
r-plotluck”h#Œ1.1.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-plotluck-1.1.1-r36h6115d3f_0.tar.bz2”h+Œ e0dca51b01be2268b6b56679de2bf666”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-plotluck-1.1.1-r36h6115d3f_0.tar.bz2”h0Œ@bb9e63205c83ac9a38298446c62f8a710337e1c3331b2e362236bb448a712874”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-ggplot2 >=2.2.0”Œr-hexbin >=1.27.1”Œr-hmisc >=3.17.4”Œr-plyr >=1.8.4”Œr-quantreg >=5.26”Œr-rcolorbrewer >=1.1.2”Œr-scales >=0.4.1”t”h9hºh@ŒMIT”hBŒMIT”hDGA×LkÝå¡ËhEJ Î hFˆubh)”}”(hŒ
r-magrittr”h#Œ1.5”h%Œr35h6115d3f_1002”h'Mêhhh(h)hŒ'r-magrittr-1.5-r35h6115d3f_1002.tar.bz2”h+Œ 1cdc20ee02824a540af8aa58d7783a92”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-magrittr-1.5-r35h6115d3f_1002.tar.bz2”h0Œ@5caca4b79d349a302802825b749db47bc31cd87a1672e0300593941f89fff04d”h2NhNh3Œr-base >=3.5,<3.6.0a0”…”h9hºh@ŒMIT”hBŒMIT”hDGA×Jù®¨ÔþhEJN” hFˆubh)”}”(hŒinspyred”h#Œ1.0.1”h%Œpy_1”h'Khhh(h)hŒinspyred-1.0.1-py_1.tar.bz2”h+Œ e0f9bf046de29cf948295d1b1e205276”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/inspyred-1.0.1-py_1.tar.bz2”h0Œ@d69f5e255ad484b38f1b2d17d011d655e4c4d9981409104755b8508f9fdf98ed”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖê+´9hEM¹ÐhFˆubh)”}”(hŒr-mppa”h#Œ1.0”h%Œr351h6115d3f_1000”h'Mèhhh(h)hŒ$r-mppa-1.0-r351h6115d3f_1000.tar.bz2”h+Œ f75b76514ce4a97581e04878aa58682f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-mppa-1.0-r351h6115d3f_1000.tar.bz2”h0Œ@25cb8d4344e0310523fb0d582e27539ebc284d373efcc8204dce87c666f38cd0”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×L@œ(öhEJiR hFˆubh)”}”(hŒr-adgoftest”h#Œ0.3”h%Œr40ha770c72_1003”h'Mëhhh(h)hŒ(r-adgoftest-0.3-r40ha770c72_1003.tar.bz2”h+Œ 7a57726b24c70e6c34c50501e797cc8b”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-adgoftest-0.3-r40ha770c72_1003.tar.bz2”h0Œ@551cf0f536166c5010edb02c4957847c6b41fbd9d0fc9358a3b0cc3496366fe8”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL”hBŒGPL”hDGAØ*úcÐbhEM|hFˆubh)”}”(hŒlibxi-cos6-x86_64”h#Œ1.7.8”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ-libxi-cos6-x86_64-1.7.8-h9d98e8f_1104.tar.bz2”h+Œ f9f82c9fc2971dbc398a7b5f2e4281dd”h.Œ[https://conda.anaconda.org/conda-forge/noarch/libxi-cos6-x86_64-1.7.8-h9d98e8f_1104.tar.bz2”h0Œ@af1f78961fe737792fe1e036f752afa8dedff22f2b94dc36c7047595680a7634”h2NhNh3Œ&libx11-cos6-x86_64 >=1.5.99.902 *_1104”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É~†*-hEMdƒhFˆubh)”}”(hŒr-st”h#Œ1.2.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ r-st-1.2.7-r40hc72bb7e_0.tar.bz2”h+Œ d9828723b7b7448659f4802691d9e5c1”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-st-1.2.7-r40hc72bb7e_0.tar.bz2”h0Œ@61d5716a96060c18a15e532339a2ceca14f1f6b783c0b0413aea84bc478d455c”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-corpcor >=1.6.8”Œr-fdrtool >=1.2.15”Œr-sda >=1.3.7”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØh|d°“uhEJBQ	 hFˆubh)”}”(hŒr-listarrays”h#Œ0.3.1”h%Œr40h6115d3f_1”h'Khhh(h)hŒ(r-listarrays-0.3.1-r40h6115d3f_1.tar.bz2”h+Œ ebb8d6569e6d5387d1a07811d91d3f64”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-listarrays-0.3.1-r40h6115d3f_1.tar.bz2”h0Œ@f4e23b686df29183977412d5eaabd1a138a5481a575975cb237a0ac066d2d357”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬±—ÒòhEJóË hFˆubh)”}”(hŒr-daff”h#Œ0.3.5”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ"r-daff-0.3.5-r42hc72bb7e_3.tar.bz2”h+Œ afa6785e1d96ad234d281ca254dbb0d0”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-daff-0.3.5-r42hc72bb7e_3.tar.bz2”h0Œ@34dee2d3ef50877f1884cc59bf2e35e1d83feaafcc6c04b96ab258c73ebe482e”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œ
r-v8 >=0.6”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÔ%x ÅhEJ_r hFˆubh)”}”(hŒ	r-rphylip”h#Œ0.1_23”h%Œr40_1003”h'Mëhhh(h)hŒ!r-rphylip-0.1_23-r40_1003.tar.bz2”h+Œ 3615fd232f136bf67e389742c6e712fd”h.ŒOhttps://conda.anaconda.org/conda-forge/noarch/r-rphylip-0.1_23-r40_1003.tar.bz2”h0Œ@665170158ad49c35ed3a3b9f33a32254b4b6591ec4c650ec4aecd5b2724400e1”h2NhNh3Œr-ape >=3.0_10”Œr-base >=4.0,<4.1.0a0”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬@°{SøhEJ† hFˆubh)”}”(hŒwxnatpy”h#Œ0.4.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"wxnatpy-0.4.0-pyhd8ed1ab_0.tar.bz2”h+Œ a5a2fa5e154fd09aff9d0c6af4ee971e”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/wxnatpy-0.4.0-pyhd8ed1ab_0.tar.bz2”h0Œ@09ac25d0d4310a56b5b70bf2b37937b2589714214859195f5802c8d02eb8c072”h2NhNh3(Œfsleyes-widgets >=0.3.1”Œpython >=3.7”Œwxpython >=4”Œxnat >=0.3.3”t”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØX+øQìhEMShFˆubh)”}”(hŒ	r-pmdplyr”h#Œ0.3.3”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-pmdplyr-0.3.3-r41hc72bb7e_0.tar.bz2”h+Œ f95155d5760007dfc851577468169a2c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pmdplyr-0.3.3-r41hc72bb7e_0.tar.bz2”h0Œ@beb668165143b9223297a2fe8bf41cf46ae75aa77f14bcdab44b99e4d2efe9a1”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr >=0.7.0”Œr-lubridate”Œ
r-magrittr”Œr-pillar”Œr-rlang >=0.4.0”Œr-tibble”Œr-tidyr”Œr-tidyselect”Œr-vctrs”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+ @Ò-hEJ›» hFˆubh)”}”(hŒpyplis”h#Œ1.4.4”h%Œpy_0”h'K hhh(h)hŒpyplis-1.4.4-py_0.tar.bz2”h+Œ 052c214485f9a21aa481f06aabb08afa”h.ŒGhttps://conda.anaconda.org/conda-forge/noarch/pyplis-1.4.4-py_0.tar.bz2”h0Œ@4e450d174b80eb065c3626732970171bd663726153e6a37e5586bc9226a601e2”h2NhNh3(Œastropy”Œbasemap”Œgeonum”Œmatplotlib >=1.5”Œnumpy >=1.11”Œopencv”Œpandas”Œpydoas”Œpython”Œscipy”Œsix”t”h9h?h@ŒGPL-3.0”hBŒGPL”hDGA×X¬lÎ§ðhEJ—â3 hFˆubh)”}”(hŒmpl_sample_data”h#Œ3.4.3”h%Œpyheb06c22_1”h'Khhh(h)hŒ*mpl_sample_data-3.4.3-pyheb06c22_1.tar.bz2”h+Œ 1c347d9d33ede527f27dfe25799872a9”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/mpl_sample_data-3.4.3-pyheb06c22_1.tar.bz2”h0Œ@195442825b7d0f2e0808a64b36d870572a28426e936b698f42f6a8b1ddc27a36”h2NhNh3Œ matplotlib-base >=3.4.3,<3.5.0a0”Œpython”†”h9h?h@ŒLicenseRef-PSF-based”hBŒPSF”hDGAØS-/'ïžhEJß] hFˆubh)”}”(hŒr-furrr”h#Œ0.3.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ#r-furrr-0.3.1-r41hc72bb7e_0.tar.bz2”h+Œ 0fb60a0924960113b7d80ddaa30ca6c3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-furrr-0.3.1-r41hc72bb7e_0.tar.bz2”h0Œ@74937a6b029b83fa9fa20ec0978c83ddc27c41ac74c9ac0f29f430120e0bce83”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ
r-ellipsis”Œr-future >=1.19.1”Œr-globals >=0.13.1”Œr-lifecycle >=0.2.0”Œr-purrr >=0.3.0”Œr-rlang >=0.3.0”Œr-vctrs >=0.3.2”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ¾Á²[t¼hEJ}» hFˆubh)”}”(hŒ	genes2doe”h#Œ0.0.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$genes2doe-0.0.1-pyhd8ed1ab_0.tar.bz2”h+Œ eb86275d92f93d33be341727aa1607c5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/genes2doe-0.0.1-pyhd8ed1ab_0.tar.bz2”h0Œ@6161aea7d5d7cfcb2d9255fc166c68d237963482fb854b552f58d186661a4a0d”h2NhNh3Œpandas”Œpython >3.6”Œrptools”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØfíMF5?hEM7hFˆubh)”}”(hŒflask-turbolinks”h#Œ0.2.0”h%Œpy_0”h'K hhh(h)hŒ#flask-turbolinks-0.2.0-py_0.tar.bz2”h+Œ 8e95e90d842ac15e77c8407ede23eeac”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/flask-turbolinks-0.2.0-py_0.tar.bz2”h0Œ@18d083e5610cb8453758b85744e61f9f8ce8d48f388cd822dbbb2020ad8e6123”h2NhNh3Œflask”Œpython”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hEM’hFˆubh)”}”(hŒr-sparselda”h#Œ0.1_9”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ*r-sparselda-0.1_9-r40hc72bb7e_1002.tar.bz2”h+Œ 5b2d38ccd588699529abe44fb39ecf76”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-sparselda-0.1_9-r40hc72bb7e_1002.tar.bz2”h0Œ@06d127a53fb466b61fe91068f5d547d5743bd1c1358d1b5f5ef02b6853aca343”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-elasticnet”Œr-mass”Œr-mda”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+ß;hEJ hFˆubh)”}”(hŒlibsm-devel-cos7-ppc64le”h#Œ1.2.2”h%Œ
h1341992_1”h'Khhh(h)hŒ1libsm-devel-cos7-ppc64le-1.2.2-h1341992_1.tar.bz2”h+Œ fc654b74466d8e6305733418e3118690”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsm-devel-cos7-ppc64le-1.2.2-h1341992_1.tar.bz2”h0Œ@5c2b2281996af54a9078b457a30357cad367adad70e3094024e655717e14d56d”h2NhNh3Œ#libsm-cos7-ppc64le 1.2.2 h1341992_1”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×£äy:¬hEMÍ hFˆubh)”}”(hŒdjangorestframework-yaml”h#Œ2.0.0”h%Œpy_0”h'K hhh(h)hŒ+djangorestframework-yaml-2.0.0-py_0.tar.bz2”h+Œ cb0db01b6fa974bef6b2315bd12f941f”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/djangorestframework-yaml-2.0.0-py_0.tar.bz2”h0Œ@68d1bed39b44186d7e6147ed027f813904dc1d92b8913e7e895f6bfb8c47b156”h2NhNh3Œpython >=3.5”Œpyyaml >=3.10”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ªs$¡XhEMz#hFˆubh)”}”(hŒlibjpeg-turbo-cos6-x86_64”h#Œ1.2.1”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libjpeg-turbo-cos6-x86_64-1.2.1-h9b0a68f_1105.tar.bz2”h+Œ 2d21af3e1bf0b11f525e5e9b0ab4ae01”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libjpeg-turbo-cos6-x86_64-1.2.1-h9b0a68f_1105.tar.bz2”h0Œ@8f81f97582fa53c117fd8819b8b1991927d7196ac8c01d6416c0221a455647ce”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@Œ	wxWidgets”hBŒOther”hDGAØ@XŸ£t¼hEJ hFˆubh)”}”(hŒr-arrayhelpers”h#Œ1.1_0”h%Œr40h6115d3f_1”h'Khhh(h)hŒ*r-arrayhelpers-1.1_0-r40h6115d3f_1.tar.bz2”h+Œ 47b1b7a3e573441b720215572a7e06b8”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-arrayhelpers-1.1_0-r40h6115d3f_1.tar.bz2”h0Œ@90b9d0d19d73a254136b0e2b5d525745d9810c7ab23392f1cf9c1f12c7247103”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-svunit”†”h9hºh@ŒGPL-3”hBŒGPL3”hDGA×¬$ÔÄjhEJóÝ hFˆubh)”}”(hŒvalideer”h#Œ0.4.2”h%Œpy_1”h'Khhh(h)hŒvalideer-0.4.2-py_1.tar.bz2”h+Œ 5a498071d77129f11140618fecd4dfaa”h.ŒIhttps://conda.anaconda.org/conda-forge/noarch/valideer-0.4.2-py_1.tar.bz2”h0Œ@e18a49fc1331571ca942130082826a31a2e2cf6d223aaea70328010a262ab7a6”h2NhNh3Œ	decorator”Œpython”†”h9h?h@ŒMIT”hBŒMIT”hDGAÖÏë>bNhEMWhFˆubh)”}”(hŒ	r-flatxml”h#Œ0.1.1”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-flatxml-0.1.1-r41hc72bb7e_0.tar.bz2”h+Œ 535c735c598793c0ab0737abcc1d361e”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-flatxml-0.1.1-r41hc72bb7e_0.tar.bz2”h0Œ@5f7779a2aadd8e321d1c2a4d28d2f29f77403614a92e6546c880cd56a5450844”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-httr”Œr-rcurl”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÙ3‹s"ÑhEJ hFˆubh)”}”(hŒr-pracma”h#Œ2.4.2”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-pracma-2.4.2-r42hc72bb7e_1.tar.bz2”h+Œ accb9949efef649c944dd31343cec62f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-pracma-2.4.2-r42hc72bb7e_1.tar.bz2”h0Œ@dcd7e32c95ee6126f363467944e3aac82cdf59af3391e01c9f140dd6bafc72f7”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐP—×
hEJÝ¼ hFˆubh)”}”(hŒr-momr”h#Œ1.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ r-momr-1.1-r41hc72bb7e_2.tar.bz2”h+Œ 2acd6e60adb0f6352c2a3a9b91c5949c”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/r-momr-1.1-r41hc72bb7e_2.tar.bz2”h0Œ@6e65abdfcda54d009b757a5593c73065fde84a5a8945c12370601d907befd9ec”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-gplots”Œr-hmisc”Œ	r-nortest”t”h9hºh@ŒArtistic-2.0 (Restricts use)”hBŒOTHER”hDGAØÒÙàîéyhEJ¬’e hFˆubh)”}”(hŒlibxml2-devel-cos6-x86_64”h#Œ2.7.6”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ5libxml2-devel-cos6-x86_64-2.7.6-h9b0a68f_1105.tar.bz2”h+Œ 33b00a59ca80646d6f58be331c643d37”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libxml2-devel-cos6-x86_64-2.7.6-h9b0a68f_1105.tar.bz2”h0Œ@566ab8b3f81b232ebfb6f3377c91cb36a202bf4fce9f62da6196f7d043560fa4”h2NhNh3Œ"libxml2-cos6-x86_64 ==2.7.6 *_1105”Œsysroot_linux-64 2.12.*”†”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ZÎ'®hEJIL hFˆubh)”}”(hŒr-paireddata”h#Œ1.1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-paireddata-1.1.1-r36h6115d3f_1.tar.bz2”h+Œ e5a3f54b4afe66b91c0c9022e7622ada”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-paireddata-1.1.1-r36h6115d3f_1.tar.bz2”h0Œ@671500f87c05b453a13201019ca82e72c73ddac0e6fdaf6e22d16256bb8b0d7e”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œ	r-ggplot2”Œr-gld”Œ	r-lattice”Œr-mass”Œ	r-mvtnorm”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×¯¼ÂhEJð hFˆubh)”}”(hŒglib2-devel-cos7-aarch64”h#Œ2.56.1”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4glib2-devel-cos7-aarch64-2.56.1-h9b0a68f_105.tar.bz2”h+Œ e451c4dfa4083ed99ffd65e3aa97d553”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos7-aarch64-2.56.1-h9b0a68f_105.tar.bz2”h0Œ@8ba5feb97f2873f03e14c865bbbced1d7fdb6fd06de524cb17783c8cf6cd298c”h2NhNh3Œ!glib2-cos7-aarch64 ==2.56.1 *_105”…”h6Œ#sysroot_linux-aarch64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@YC)ë…hEJ¾ hFˆubh)”}”(hŒr-shinylogs”h#Œ0.2.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ'r-shinylogs-0.2.1-r41hc72bb7e_1.tar.bz2”h+Œ 2c6cec268c7f2e5a4fc4c73ffe2bb82f”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-shinylogs-0.2.1-r41hc72bb7e_1.tar.bz2”h0Œ@7cf46b13998f6f87aff1916069793c2557b8299b5c8d805145a52825d8c3bac6”h2NhNh3(Œ	r-anytime”Œr-base >=4.1,<4.2.0a0”Œr-bit64”Œr-data.table”Œr-dbi”Œr-digest”Œr-htmltools”Œ
r-jsonlite”Œ
r-nanotime”Œ	r-rsqlite”Œr-shiny >=1.1.0”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÓ§ß;hEJZ3 hFˆubh)”}”(hŒr-tpea”h#Œ3.1.0”h%Œr35h6115d3f_0”h'K hhh(h)hŒ"r-tpea-3.1.0-r35h6115d3f_0.tar.bz2”h+Œ ff1ac066b1035810c258c45f9aed0a19”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-tpea-3.1.0-r35h6115d3f_0.tar.bz2”h0Œ@cbdaf9268693709241ed1dbbc1eb7587df66479213f5e82b89bf263b53c0e5a3”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œ	r-foreach”Œr-igraph”Œr-matrix”Œr-mess”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×x[‡PhEJ%	 hFˆubh)”}”(hŒlibsepol-cos6-x86_64”h#Œ2.0.41”h%Œh9b0a68f_1105”h'MQhhh(h)hŒ1libsepol-cos6-x86_64-2.0.41-h9b0a68f_1105.tar.bz2”h+Œ 774fcdf9815077e7cde4e89c93ff0594”h.Œ_https://conda.anaconda.org/conda-forge/noarch/libsepol-cos6-x86_64-2.0.41-h9b0a68f_1105.tar.bz2”h0Œ@4c51d278f7db127692936ef7a68c13ecd22798484ffe1c03af3342685f2d7ffe”h2NhNh3Œsysroot_linux-64 2.12.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGAØ@Wß›¦hEJÈ hFˆubh)”}”(hŒ
flask-user”h#Œ1.0.2.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'flask-user-1.0.2.2-pyhd8ed1ab_0.tar.bz2”h+Œ fb5fa6eae3465de5f0e14b054861d0ce”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/flask-user-1.0.2.2-pyhd8ed1ab_0.tar.bz2”h0Œ@870ee640b9f54f3f05cabcaefe9300e321579c8621eeddc987a12d03aa87b33e”h2NhNh3(Œbcrypt >=2.0”Œcryptography >=1.6”Œemail_validator”Œflask >=0.9”Œflask-login >=0.2”Œflask-mail >=0.9”Œflask-sqlalchemy >=1.0”Œflask-wtf >=0.9”Œpasslib >=1.6”Œpython >=3.6”t”h9h?h@ŒBSD-2-Clause”hBŒBSD”hDGAØ,þ{>E¢hEJ6# hFˆubh)”}”(hŒ	r-rphylip”h#Œ0.1_23”h%Œr41hc72bb7e_1004”h'Mìhhh(h)hŒ)r-rphylip-0.1_23-r41hc72bb7e_1004.tar.bz2”h+Œ 314ff61d4f49ee3b3604c7731de911de”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rphylip-0.1_23-r41hc72bb7e_1004.tar.bz2”•      h0Œ@45ca43a35b229cc19d9c4723d06a0055fb064cc0838e5e67116bfa5d4ad4773e”h2NhNh3Œr-ape >=3.0_10”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒìDjhEJ‘ hFˆubh)”}”(hŒr-urlchecker”h#Œ1.0.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ(r-urlchecker-1.0.1-r41hc72bb7e_1.tar.bz2”h+Œ f17eb2687ac714594e55b44041c7ae81”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-urlchecker-1.0.1-r41hc72bb7e_1.tar.bz2”h0Œ@f5b0b165e96bbd5689e8c68902095ebf60553572a44ade196b4a1c0f7d7ffd26”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-cli”Œr-curl”Œr-xml2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÐ¾Ù^5hEM¿ÉhFˆubh)”}”(hŒ
r-sparkxgb”h#Œ0.1.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ&r-sparkxgb-0.1.1-r40hc72bb7e_0.tar.bz2”h+Œ 369ee91a56aff06a261978824aa3b860”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-sparkxgb-0.1.1-r40hc72bb7e_0.tar.bz2”h0Œ@408556a6c63159d53c631f975fc5045937926deba344810b53de607de63c8bf8”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-forge >=0.2.0”Œr-sparklyr >=1.0”‡”h9hºh@Œ
Apache-2.0”hBŒAPACHE”hDGAØ>—“hEJ®/ hFˆubh)”}”(hŒ	sidetable”h#Œ0.9.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$sidetable-0.9.0-pyhd8ed1ab_0.tar.bz2”h+Œ 052bfc23a7ff232839de5d6e7dd48a62”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/sidetable-0.9.0-pyhd8ed1ab_0.tar.bz2”h0Œ@d1d411b9ab6161fff0728de2cb2b89b142edaaade3a6074aed31d0dcf4a5f0ee”h2NhNh3Œpandas >=1.0”Œpython >=3.6”†”h9h?h@ŒMIT”hBŒMIT”hDGAØGl,`BhEMMhFˆubh)”}”(hŒr-mdmr”h#Œ0.5.1”h%Œr42hc72bb7e_3”h'Khhh(h)hŒ"r-mdmr-0.5.1-r42hc72bb7e_3.tar.bz2”h+Œ 01e780874169d9b3f105b748694cea31”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mdmr-0.5.1-r42hc72bb7e_3.tar.bz2”h0Œ@0d8efed9116e6fc9c2b28ceef4fbe00b0ffeab07a9575c713418ee68e929ac9c”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-car”Œr-compquadform”Œr-lme4”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÓY˜ÒJhEJˆü hFˆubh)”}”(hŒglib2-devel-cos6-x86_64”h#Œ2.28.8”h%Œha826a6f_103”h'Kghhh(h)hŒ3glib2-devel-cos6-x86_64-2.28.8-ha826a6f_103.tar.bz2”h+Œ 4da1f74ae4329247fd30b92336634dd5”h.Œahttps://conda.anaconda.org/conda-forge/noarch/glib2-devel-cos6-x86_64-2.28.8-ha826a6f_103.tar.bz2”h0Œ@03278e841e292fa491d6af6c91444bb3910b3d0a8532c07762546f8ee2c15a51”h2NhNh3Œ glib2-cos6-x86_64 ==2.28.8 *_103”Œ"pkgconfig-cos6-x86_64 >=0.14 *_103”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ0
à1'hEJ0
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python >=3”Œrequests >=2.23.0”Œ
sqlalchemy”t”h9h?h@ŒMPL-2.0”hBŒOTHER”hDGAØËcjXÔþhEJéóß hFˆubh)”}”(hŒr-mote”h#Œ1.0.2”h%Œr41h785f33e_1”h'Khhh(h)hŒ"r-mote-1.0.2-r41h785f33e_1.tar.bz2”h+Œ e2156de0a82f72e50317be1d561e081a”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-mote-1.0.2-r41h785f33e_1.tar.bz2”h0Œ@241072708e6801140e042431a0756127e07b535be142ee499fb77a91d6d0d338”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ez”Œr-mbess”Œ	r-reshape”t”h9hºh@ŒLGPL-3.0-only”hBŒLGPL”hDGAØÓiéÛ#hEJ¼ hFˆubh)”}”(hŒlibtiff-cos6-x86_64”h#Œ3.9.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ.libtiff-cos6-x86_64-3.9.4-h9b0a68f_105.tar.bz2”h+Œ 4137c2e74c2766de1ecf126bfae3cc76”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libtiff-cos6-x86_64-3.9.4-h9b0a68f_105.tar.bz2”h0Œ@685e266b7cb78c198d7b9e2e00e8c910732b28a5be6881cd5ac0cd2230f9a75d”h2NhNh3)h6Œsysroot_linux-64 ==99999999999”…”h9hºh@Œlibtiff”hBŒOther”hDGAØ@V·‰G®hEJC  hFˆubh)”}”(hŒ
cachetools”h#Œ4.2.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%cachetools-4.2.4-pyhd8ed1ab_0.tar.bz2”h+Œ 059a8732c1d81ffc93997cb8a236331f”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/cachetools-4.2.4-pyhd8ed1ab_0.tar.bz2”h0Œ@c73709b168d12c802532706961dc8e54418b61cf99341fd6738bae060460c477”h2NhNh3Œpython >=3.5”…”h9h?h@ŒMIT”hBŒMIT”hDGAØUq[½`BhEMÆ1hFˆubh)”}”(hŒreducer”h#Œ0.5.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"reducer-0.5.0-pyhd8ed1ab_0.tar.bz2”h+Œ 66002496f89fe3b751720b36f7138dda”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/reducer-0.5.0-pyhd8ed1ab_0.tar.bz2”h0Œ@3ea1a19a478924b506baaf3a1c91b3ff78b8f4bec279757280776ed656e9da81”h2NhNh3(Œastropy >=4”Œccdproc >=2”Œdask”Œipywidgets >=7.5”Œmatplotlib-base”Œmsumastro >=1”Œnumpy”Œpython >=3.6”Œscikit-image”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØËmoXƒhEJb³ hFˆubh)”}”(hŒmesa-libgl-cos7-aarch64”h#Œ18.3.4”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4mesa-libgl-cos7-aarch64-18.3.4-hdf0574f_1102.tar.bz2”h+Œ 307993a5a135324c1fcd4cf41de99f27”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libgl-cos7-aarch64-18.3.4-hdf0574f_1102.tar.bz2”h0Œ@f96fb5003b6fd3524137c377cb0bbb1120c0f97894d5b83fa78843485104ca3c”h2NhNh3Œ#libdrm-cos7-aarch64 >=2.4.83 *_1102”Œ*mesa-libglapi-cos7-aarch64 ==18.3.4 *_1102”Œsysroot_linux-aarch64 2.17.*”‡”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+¬NÈ´hEJ hFˆubh)”}”(hŒ
r-dbmodelr”h#Œ0.2.0”h%Œr41haa4b35c_1”h'Khhh(h)hŒ&r-dbmodelr-0.2.0-r41haa4b35c_1.tar.bz2”h+Œ e8c2b78c33ed19296db067ceaf64f811”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-dbmodelr-0.2.0-r41haa4b35c_1.tar.bz2”h0Œ@5643b8a4af4c27d125550d143600581625b9e525703046681af7074ca929167c”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-blob”Œr-dbi”Œr-purrr”Œr-rlang”Œ	r-rsqlite”Œsqlite”t”h9hºh@ŒAGPL-3.0-or-later”hBŒAGPL”hDGAØÓ¢JñªhEJ“â hFˆubh)”}”(hŒnapari-zelda”h#Œ0.1.10”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(napari-zelda-0.1.10-pyhd8ed1ab_0.tar.bz2”h+Œ de1cef0da831f9c9710d96afe45da7bd”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/napari-zelda-0.1.10-pyhd8ed1ab_0.tar.bz2”h0Œ@bb8afc08fc5c46490d3df9f7dda701ba3922bf0168c7340a3f0f5e28ccef8598”h2NhNh3(Œ	datatable”Œjson5”Œmagicgui”Œmatplotlib-base >=3.4.3”Œnapari !=0.4.11”Œnapari-plugin-engine >=0.1.4”Œnumpy”Œpandas”Œpython >=3.7”Œscikit-image <=0.18.3”Œscipy”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØGåf5?hEMcIhFˆube(h)”}”(hŒ
r-lmoments”h#Œ1.2_3”h%Œ	r351_1001”h'Méhhh(h)hŒ"r-lmoments-1.2_3-r351_1001.tar.bz2”h+Œ 802d354b7b524204a1b5451ded7a6ff1”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-lmoments-1.2_3-r351_1001.tar.bz2”h0Œ@7bbd26bcb788c2a87c452d9aff90a3b43f50861aa5c76f057b6cf5799ea39bf3”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGAÖûòç®hEJó+ hFˆubh)”}”(hŒgdk-pixbuf2-devel-cos6-x86_64”h#Œ2.24.1”h%Œha826a6f_103”h'Kghhh(h)hŒ9gdk-pixbuf2-devel-cos6-x86_64-2.24.1-ha826a6f_103.tar.bz2”h+Œ f13b854e5a7141efb2c15d11282a4ff0”h.Œghttps://conda.anaconda.org/conda-forge/noarch/gdk-pixbuf2-devel-cos6-x86_64-2.24.1-ha826a6f_103.tar.bz2”h0Œ@56f73e6b9c015f8995bdcb01b7a784912c1e81f5a41efed483d260b9245cbfc0”h2NhNh3Œ&gdk-pixbuf2-cos6-x86_64 ==2.24.1 *_103”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@Œ2LGPLv2+ and (LGPLv2+ or MPLv1.1) and Public Domain”hBŒLGPL”hDGA×Æ0¾6éyhEJo¿ hFˆubh)”}”(hŒ
r-invgamma”h#Œ1.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ$r-invgamma-1.1-r36h6115d3f_1.tar.bz2”h+Œ a96b98228c894b14049df18a964f133f”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-invgamma-1.1-r36h6115d3f_1.tar.bz2”h0Œ@79ce17b23e014c9b64fc07a2f6b31aca2fb95f8474ea33f307295be960fabb9c”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×¬®¦‡+hEM}‚hFˆubh)”}”(hŒdataclasses”h#Œ0.6”h%Œpy_0”h'K hhh(h)hŒdataclasses-0.6-py_0.tar.bz2”h+Œ fd6597423b238f5101da1a386438aaf7”h.ŒJhttps://conda.anaconda.org/conda-forge/noarch/dataclasses-0.6-py_0.tar.bz2”h0Œ@99a87ccaad7263fbf95d15c5e06828a65047e82a872ae072b6cada30c28700a1”h2NhNh3Œpython >=3.6,<3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÀ[µ¸hEMŽ;hFˆubh)”}”(hŒpymatgen-analysis-diffusion”h#Œ	2022.7.21”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ:pymatgen-analysis-diffusion-2022.7.21-pyhd8ed1ab_0.tar.bz2”h+Œ 0d47dc950fdec4a003975d7ce4ae347e”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/pymatgen-analysis-diffusion-2022.7.21-pyhd8ed1ab_0.tar.bz2”h0Œ@430c754654eab33577c17c3916fa400fc7f487a1391a9956b11143634a3c8dfb”h2NhNh3Œjoblib”Œpymatgen >=2022.0.3”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¶‹ß;dhEM‘úhFˆubh)”}”(hŒr-assertive.properties”h#Œ0.0_5”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ2r-assertive.properties-0.0_5-r41hc72bb7e_1.tar.bz2”h+Œ 9973987a1b6930b3e530970c0ca76904”h.Œ`https://conda.anaconda.org/conda-forge/noarch/r-assertive.properties-0.0_5-r41hc72bb7e_1.tar.bz2”h0Œ@949ae61b69a33bb00956263d9d4e9e8790227c5690a13892130ff42d0202a4d8”h2NhNh3Œr-assertive.base >=0.0_7”Œr-base >=4.1,<4.2.0a0”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØÐ—³ÃhEJÁ­ hFˆubh)”}”(hŒlibxcursor-devel-cos7-aarch64”h#Œ1.1.15”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:libxcursor-devel-cos7-aarch64-1.1.15-h9d98e8f_1104.tar.bz2”h+Œ eea5a61e39dce4928814f19a9173a07a”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxcursor-devel-cos7-aarch64-1.1.15-h9d98e8f_1104.tar.bz2”h0Œ@d98dd4253ce23053e53145853e077b54269849774f13c7915f5657ac3fb11cfa”h2NhNh3Œ'libxcursor-cos7-aarch64 ==1.1.15 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É€ShEM9hFˆubh)”}”(hŒp-winds”h#Œ0.5.2b”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#p-winds-0.5.2b-pyhd8ed1ab_0.tar.bz2”h+Œ ffb61b3ec949f1fd74a8d4f35bd3197d”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/p-winds-0.5.2b-pyhd8ed1ab_0.tar.bz2”h0Œ@d8ff3372608fc003be416b370dd80e65f28ef970bfb593a7967b00d909540db5”h2NhNh3(Œastropy”Œnumpy”Œpillow”Œpython >=3.6”Œscipy”t”h9h?h@ŒMIT”hBŒMIT”hDGAØ$bRdIºhEM‡WhFˆubh)”}”(hŒrb-parallel”h#Œ1.18.0”h%Œ
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Apache-2.0”hBŒAPACHE”hDGAØ…ÞÐEOßhEMûDhFˆubh)”}”(hŒr-worrms”h#Œ0.4.2”h%Œr40h6115d3f_0”h'K hhh(h)hŒ$r-worrms-0.4.2-r40h6115d3f_0.tar.bz2”h+Œ 4922ada0806ba205a9aa201d67423fa2”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-worrms-0.4.2-r40h6115d3f_0.tar.bz2”h0Œ@98c9d13dee08d82f44954a8457c9684441c3c61ec14e0d0dc6b3d00b3c06b071”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crul >=0.6.0”Œr-data.table”Œr-jsonlite >=1.1”Œr-tibble >=1.2”t”h9hºh@ŒMIT”hBŒMIT”hDGA×Á\±<jhEJs§ hFˆubh)”}”(hŒr-strucchange”h#Œ1.5_1”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ,r-strucchange-1.5_1-r36h6115d3f_1002.tar.bz2”h+Œ 915a947cb7fa2527df40dfd5e04dcb89”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-strucchange-1.5_1-r36h6115d3f_1002.tar.bz2”h0Œ@806defcf3b2df08f32c3cd45db4cd154191399d50af2ccba238f08b7caef032d”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œ
r-sandwich”Œr-zoo”‡”h9hºh@ŒGPL-2 | GPL-3”hBŒGPL3”hDGA×Kð<çl‹hEJÆ" hFˆubh)”}”(hŒ	dateutils”h#Œ0.6.12”h%Œpy_0”h'K hhh(h)hŒdateutils-0.6.12-py_0.tar.bz2”h+Œ acee371a07e9a38a7072e5a5f7054ead”h.ŒKhttps://conda.anaconda.org/conda-forge/noarch/dateutils-0.6.12-py_0.tar.bz2”h0Œ@fb554b32a8f880cafaff4e67c789965d97c41eb1a6cc9ab5a83c6b28b581d809”h2NhNh3Œ
python >=3”Œpython-dateutil”Œpytz”‡”h9h?h@Œ0BSD”hDGA×ä­oDIºhEM #hFˆubh)”}”(hŒanytree”h#Œ2.8.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ"anytree-2.8.0-pyh9f0ad1d_0.tar.bz2”h+Œ 614f4c72f03e3b29f5079e2c523bbb9c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/anytree-2.8.0-pyh9f0ad1d_0.tar.bz2”h0Œ@f5983336c746871df497f259144937825cb0558e500710519b6a300847757b7b”h2NhNh3Œpython”Œsix >=1.9.0”†”h9h?h@Œ
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GPL (>= 2)”hBŒGPL3”hDGA×«9üÂhEJ4å
 hFˆubh)”}”(hŒbias_correction”h#Œ0.4”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(bias_correction-0.4-pyhd8ed1ab_0.tar.bz2”h+Œ 38f2347f72ad62d3dab33caf19c0002f”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/bias_correction-0.4-pyhd8ed1ab_0.tar.bz2”h0Œ@75dd38a435b3bc507cbb843cde8e8a8d8d9e0dc7fddb6e6d1986e70e86ca0a16”h2NhNh3(Œnumpy”Œpandas”Œpython >=3.6”Œscipy”Œstatsmodels”Œxarray”t”h9h?h@ŒMIT”hBŒMIT”hDGAØEºÇˆå`hEM˜ hFˆubh)”}”(hŒ
pytest-mpi”h#Œ0.6”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#pytest-mpi-0.6-pyhd8ed1ab_0.tar.bz2”h+Œ da2c3ab8fd52a50c088293a79d95cfd3”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/pytest-mpi-0.6-pyhd8ed1ab_0.tar.bz2”h0Œ@782e9e9305c75781c9ae8b8954b734bd6fe64cc441368655d37ee6ed83e6e35c”h2NhNh3Œpytest”Œpython >=3.6”†”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØvK"½VhEM&hFˆubh)”}”(hŒcrontab”h#Œ0.22.9”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#crontab-0.22.9-pyh9f0ad1d_0.tar.bz2”h+Œ c25ac53c7a3bf42f443df4f764d32958”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/crontab-0.22.9-pyh9f0ad1d_0.tar.bz2”h0Œ@7ce861bdc16b12b6de74ecda79bc018a82ec6ec34a11674208713389ce3f96e0”h2NhNh3Œpython”…”h9h?h@ŒLGPL-2.1 or LGPL-3.0”hBŒLGPL”hDGA×Æ¦VhEM³UhFˆubh)”}”(hŒlttl”h#Œ2.0.12”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ lttl-2.0.12-pyhd8ed1ab_0.tar.bz2”h+Œ cdb52cb1d9d934b69352481e757db7b7”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/lttl-2.0.12-pyhd8ed1ab_0.tar.bz2”h0Œ@f51c9f79fc6206059c758287e4af79c49eb748def0a1114665ffefb364d2b2b3”h2NhNh3(Œbackports.functools_lru_cache”Œfuture”Œnumpy”Œpython >=3.6”Œscipy”Œ
setuptools”t”h9h?h@ŒGPL-3.0”hDGAØ|þ‡hEMÈÓhFˆubh)”}”(hŒ	r-pvclust”h#Œ2.2_0”h%Œr41ha770c72_1”h'Khhh(h)hŒ%r-pvclust-2.2_0-r41ha770c72_1.tar.bz2”h+Œ c958902fb514a4600b55c9ebea82073b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-pvclust-2.2_0-r41ha770c72_1.tar.bz2”h0Œ@e03320ba125732ddc4cc0a5a1fd165bc051c4f143f3c80668a83dd426f5237d5”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL”hDGAØ+$®*^5hEJ¤ hFˆubh)”}”(hŒsanic-routing”h#Œ22.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)sanic-routing-22.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ e3693204ee5af87d49f93528f3268da8”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/sanic-routing-22.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@763132522605501ee0895957d4acf0ce180c553f22447752b729ba6d5a452cbf”h2NhNh3Œpython >=3.7”…”h9h?h@ŒMIT”hBŒMIT”hDGAØ¿­¾whEMq]hFˆubh)”}”(hŒargcomplete”h#Œ1.12.3”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'argcomplete-1.12.3-pyhd8ed1ab_0.tar.bz2”h+Œ b1cce9f8d3d0cd07bdd9cce4ead2b055”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/argcomplete-1.12.3-pyhd8ed1ab_0.tar.bz2”h0Œ@0b36060737ddae9dbfff1b9eb7a6f0f2ffab0d5fe8c3a7e39799098afc98ea32”h2NhNh3Œpython >=3.5”…”h9h?h@Œ
Apache-2.0”hBŒApache”hDGAØÏ¾whEM£‰hFˆubh)”}”(hŒnapari-matplotlib”h#Œ0.2.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ,napari-matplotlib-0.2.1-pyhd8ed1ab_0.tar.bz2”h+Œ 3513a1fbdcde05411ee5fd8f2e05c85d”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/napari-matplotlib-0.2.1-pyhd8ed1ab_0.tar.bz2”h0Œ@9c442af229e1de895cfc8eecd9528d2839a6f5c06df290ebf9bc4bbffaabc11b”h2NhNh3(Œmatplotlib-base”Œnapari”Œnumpy”Œpython >=3.8”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ¨?£ŸKÇhEJ^ hFˆubh)”}”(hŒr-rebus.base”h#Œ0.0_3”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ+r-rebus.base-0.0_3-r42hc72bb7e_1003.tar.bz2”h+Œ aa80f879112e9342dab400e83fdfac85”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-rebus.base-0.0_3-r42hc72bb7e_1003.tar.bz2”h0Œ@09f65f8100043be82a23bc89f13f95089ebf6286f2f14c8647feea6e6b7ee0a9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@Œ	Unlimited”hDGAØÑR—hEJv hFˆubh)”}”(hŒpytimeparse”h#Œ1.1.8”h%Œpy_0”h'K hhh(h)hŒpytimeparse-1.1.8-py_0.tar.bz2”h+Œ edde7e7260599f9860002187486b3e01”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pytimeparse-1.1.8-py_0.tar.bz2”h0Œ@313cbde8ded706790d4fb8ea114ba1d706ff5be0780f63c01de81f569e593a03”h2NhNh3Œpython”…”h9h?h@ŒMIT”hBŒMIT”hDGAÖÀ%[Gß;hEM1$hFˆubh)”}”(hŒ
r-progress”h#Œ1.2.2”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ&r-progress-1.2.2-r41hc72bb7e_2.tar.bz2”h+Œ c6aa377edb04c05af94790da9294a54c”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-progress-1.2.2-r41hc72bb7e_2.tar.bz2”h0Œ@1e7622be8f54477f36a899a3ae5bf3fe6b94c36333044469e5e43494bdad2ca0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-hms”Œr-prettyunits”Œr-r6”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+F‡KÇhEJgk hFˆubh)”}”(hŒ
r-textstem”h#Œ0.1.4”h%Œr35h6115d3f_0”h'K hhh(h)hŒ&r-textstem-0.1.4-r35h6115d3f_0.tar.bz2”h+Œ eb9187bbe6817de574bffecc3bd12a91”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-textstem-0.1.4-r35h6115d3f_0.tar.bz2”h0Œ@3a13b0e5d1156e5e6e24dbbb306342cdaa5a1b729e511e4ad17ff5b8f3def311”h2NhNh3(Œr-base >=3.5,<3.6.0a0”Œr-dplyr”Œ
r-hunspell”Œr-korpus”Œr-korpus.lang.en”Œr-lexicon >=0.4.1”Œr-quanteda >=0.99.12”Œr-snowballc”Œ	r-stringi”Œr-textclean”Œr-textshape”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×T]›5p¤hEJ£, hFˆubh)”}”(hŒlibxxf86vm-cos7-ppc64le”h#Œ1.1.4”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxxf86vm-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h+Œ b878853cdec16f62efbddeaa3ace6b50”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxxf86vm-cos7-ppc64le-1.1.4-ha826a6f_1103.tar.bz2”h0Œ@03d44b04a4470353e704f33827d0ad8cf195b791497a6c5866c689105b6237e4”h2NhNh3Œ'libx11-cos7-ppc64le >=1.5.99.902 *_1103”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2×ÖffhEMG<hFˆubh)”}”(hŒmlnotify”h#Œ1.0.51”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ$mlnotify-1.0.51-pyhd8ed1ab_0.tar.bz2”h+Œ b240af4d1cd13eccb9d9640e457a0ba5”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/mlnotify-1.0.51-pyhd8ed1ab_0.tar.bz2”h0Œ@6e7785778069dd5fdc07ee72204b6ca12f8d2481c456f8b0f549ce1d7bc78dc3”h2NhNh3(Œgorilla >=0.4.0,<0.5.0”Œpython >=3.7”Œqrcode >=6.1,<7.0”Œrequests >=2.25.1,<3.0.0”t”h9h?h@ŒMIT”hBŒMIT”hDGAØš¥¨—;dhEM÷(hFˆubh)”}”(hŒr-rmdpartials”h#Œ0.5.8”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ)r-rmdpartials-0.5.8-r40hc72bb7e_0.tar.bz2”h+Œ d3180ee301f67317e42a9e8005ca481d”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-rmdpartials-0.5.8-r40hc72bb7e_0.tar.bz2”h0Œ@218e5effd25a17674b14eaa45655e1024d5eb6d2926f7c790e5c6b2294552677”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-digest”Œr-knitr”Œr-rlang”t”h9hºh@ŒMIT”hBŒMIT”hDGA×êü0  hEMMØhFˆubh)”}”(hŒgrove”h#Œ1.7.0”h%Œpyh8a188c0_1”h'Khhh(h)hŒ grove-1.7.0-pyh8a188c0_1.tar.bz2”h+Œ f2dd56a9a154bba14c8fca19e01acdd9”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/grove-1.7.0-pyh8a188c0_1.tar.bz2”h0Œ@04c788f567ac1a18ae7244dd4f44373bd49bc098de776de088cb3ef369da0ac2”h2NhNh3(Œfuncsigs”Œmatplotlib-base”Œmock”Œnetworkx”Œnumpy”Œpyquil >=1.6.1”Œpython >=3.6”Œscipy”t”h9h?h@Œ
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r-gwidgets”Œr-rgtk2”t”h9hºh@Œ
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r-magrittr”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÑEÚ·®hEJúl hFˆubh)”}”(hŒdoctr-versions-menu”h#Œ0.4.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ.doctr-versions-menu-0.4.1-pyhd8ed1ab_0.tar.bz2”h+Œ 7f320b369e9ca81de6553f1d06060f2f”h.Œ\https://conda.anaconda.org/conda-forge/noarch/doctr-versions-menu-0.4.1-pyhd8ed1ab_0.tar.bz2”h0Œ@53135cf887384c8f053fe9e1f9f2b19af50cd36ebe655d2061c509b6f071b5f8”h2NhNh3(Œclick >=6.7”Œconfigobj >=5.0.6”Œdoctr”Œ	packaging”Œ	pyparsing”Œpython >=3.5”Œsphinx”t”h9h?h@ŒMIT”hBŒMIT”hDGAØðÆ«t¼hEJ:Z hFˆubh)”}”(hŒr-sparselda”h#Œ0.1_9”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ*r-sparselda-0.1_9-r36h6115d3f_1002.tar.bz2”h+Œ 5f9e7e2cd1da9a3d16d0928dfe274b2a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-sparselda-0.1_9-r36h6115d3f_1002.tar.bz2”h0Œ@c52e64201e91bf754d1bed662b7bdcc4b36ade79209191a5b96edea3ea0494dd”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-elasticnet”Œr-mass”Œr-mda”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×¬8f¹Û#hEJ hFˆubh)”}”(hŒpvl”h#Œ1.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒpvl-1.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 3bacac9224eb3ed7c13d72c78bad419b”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/pvl-1.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@1a9bdeef3c26ce3d797d67ec1625c29b152010b7db19a9880acbe55e3efe3bdf”h2NhNh3Œpython >=3.6”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØ½œOú\hEM}ÕhFˆubh)”}”(hŒcopy-jdk-configs-cos7-ppc64le”h#Œ3.3”h%Œhdf0574f_102”h'Kfhhh(h)hŒ6copy-jdk-configs-cos7-ppc64le-3.3-hdf0574f_102.tar.bz2”h+Œ 4cfae5130145872b3f264d9719f789e8”h.Œdhttps://conda.anaconda.org/conda-forge/noarch/copy-jdk-configs-cos7-ppc64le-3.3-hdf0574f_102.tar.bz2”h0Œ@c19ae92d5ee9df70b2d87748a4a011e6245cf2efc9115b19f349aadbf4416e35”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒBSD”hBŒBSD”hDGA×ÅÄ$8r°hEMF#hFˆubh)”}”(hŒlibx11-devel-cos7-x86_64”h#Œ1.6.7”h%Œhdf0574f_1102”h'MNhhh(h)hŒ4libx11-devel-cos7-x86_64-1.6.7-hdf0574f_1102.tar.bz2”h+Œ d0ffcb5e37c85ebc294968fe5db75498”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/libx11-devel-cos7-x86_64-1.6.7-hdf0574f_1102.tar.bz2”h0Œ@0dd2ce16d1ea3a2ec2907953e57dbfcb005dd4fa32cf46ac6f1998857685cc01”h2NhNh3Œ!libx11-cos7-x86_64 ==1.6.7 *_1102”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Å+ºjn˜hEJÊ8 hFˆubh)”}”(hŒhttp3”h#Œ0.6.7”h%Œpy_0”h'K hhh(h)hŒhttp3-0.6.7-py_0.tar.bz2”h+Œ 2347bdf773e2882d792337897bdccb83”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/http3-0.6.7-py_0.tar.bz2”h0Œ@ad04a8abff42b8dc4692485cd68d7221b4de5fd409f777b91d33c68ff0c3b9a3”h2NhNh3(Œcertifi”Œchardet 3.*”Œ	h11 0.8.*”Œh2 3.*”Œidna 2.*”Œpython >=3.6”Œrfc3986 1.*”t”h9h?h@ŒBSD 3-Clause”hBŒBSD”hDGA×HØÂG®hEM+ƒhFˆubh)”}”(hŒr-simpleboot”h#Œ1.1_7”h%Œr351h6115d3f_0”h'K hhh(h)hŒ)r-simpleboot-1.1_7-r351h6115d3f_0.tar.bz2”h+Œ a6046b79f41de2a435ac1b9f98e36968”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-simpleboot-1.1_7-r351h6115d3f_0.tar.bz2”h0Œ@2d3c403c14ab2e5437d5e60b68a81e277d1419b66f322030cc088ade11e201fe”h2NhNh3Œr-base >=3.5.1,<3.5.2.0a0”Œr-boot”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×˜p,jhEJ¯8 hFˆubh)”}”(hŒr-slippymath”h#Œ0.3.1”h%Œr36h6115d3f_1”h'Khhh(h)hŒ(r-slippymath-0.3.1-r36h6115d3f_1.tar.bz2”h+Œ e1772aa8921a6df50328ede9d7113835”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-slippymath-0.3.1-r36h6115d3f_1.tar.bz2”h0Œ@c57cc2026bb5230e529bd72cf3fd16def5af9a498631fbbd6e054e9aa8854951”h2NhNh3(Œr-base >=3.6,<3.7.0a0”Œr-png”Œr-purrr”Œr-raster”t”h9hºh@ŒMIT”hBŒMIT”hDGA×¬UŠMÓhEJ:Í" hFˆubh)”}”(hŒlibnl-devel-cos6-x86_64”h#Œ1.1.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ2libnl-devel-cos6-x86_64-1.1.4-h9b0a68f_105.tar.bz2”h+Œ c26eb42d15f810b926b7d28e38beb9c1”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libnl-devel-cos6-x86_64-1.1.4-h9b0a68f_105.tar.bz2”h0Œ@8761ead4013ed73d3cf5c43c2bb0f90ca67617f316d33e0d2d4613103be86934”h2NhNh3Œlibnl-cos6-x86_64 ==1.1.4 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@W¥Õ¡ËhEJ
N	 hFˆubh)”}”(hŒ
r-shinysky”h#Œ2.0.0”h%Œr41ha770c72_1002”h'Mêhhh(h)hŒ)r-shinysky-2.0.0-r41ha770c72_1002.tar.bz2”h+Œ 6b2636848fbaeb2f1b1463b0ef7ff879”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinysky-2.0.0-r41ha770c72_1002.tar.bz2”h0Œ@d34ad2252dbb6e3e3a26b23227c4108eab4c37d068587ebddec6262ed523796e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-plyr”Œ	r-rjsonio”Œr-shiny”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ+WqMãThEJ° hFˆubh)”}”(hŒ
r-reactlog”h#Œ1.1.1”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ&r-reactlog-1.1.1-r41hc72bb7e_1.tar.bz2”h+Œ 02bc16594981ee5fb4cac3026542e9dd”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-reactlog-1.1.1-r41hc72bb7e_1.tar.bz2”h0Œ@0c4ad96e3a6474d439d34062d400a389ad5618ee1a9554e155cfd6372b01b303”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œr-jsonlite >=0.9.16”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ'bbJhEJ-þ hFˆubh)”}”(hŒr-tfdatasets”h#Œ2.9.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ(r-tfdatasets-2.9.0-r42hc72bb7e_1.tar.bz2”h+Œ 8c7899d41c0b60a120d7eceb2d58c09c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-tfdatasets-2.9.0-r42hc72bb7e_1.tar.bz2”h0Œ@04cc4b2c08743c73332388d22183e5d6d6923bf55e5c49df843eb0a0754be945”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œ
r-generics”Œ
r-magrittr”Œr-reticulate >=1.10”Œr-rlang”Œr-tensorflow >=1.13.1”Œr-tfestimators”Œr-tidyselect”t”h9hºh@Œ
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r-magrittr”Œr-mass”Œ
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Apache-2.0”hBŒAPACHE”hDGAØÑÄi”¬hEMa¸hFˆubh)”}”(hŒsushy”h#Œ3.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ sushy-3.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ 3cf782c6b7c48204683e2b74aa867e73”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/sushy-3.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@a296f87b728eb07e83286bcaec101e239517b61c77f39ca937b27ef3042830d1”h2NhNh3(Œpbr !=2.1.0,>=2.0.0”Œpython”Œpython-dateutil >=2.7.0”Œrequests >=2.14.2”Œsix >=1.10.0”Œstevedore >=1.29.0”t”h9h?h@ŒApache Software”hBŒAPACHE”hDGA×¸C7+hEJ½¯ hFˆubh)”}”(hŒr-chorddiag”h#Œ0.1.3”h%Œr40ha770c72_1”h'Khhh(h)hŒ'r-chorddiag-0.1.3-r40ha770c72_1.tar.bz2”h+Œ 964db828ec45046fc9e3cecff13109f6”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-chorddiag-0.1.3-r40ha770c72_1.tar.bz2”h0Œ@e5f505eb7440cfd912082e3ac41fc64b3e0684e98d0d745f3bd12d1fce07b49c”h2NhNh3(Œopenjdk”Œr-base >=4.0,<4.1.0a0”Œr-htmlwidgets”Œr-rcolorbrewer”t”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ#Ø™xÕhEJ½× hFˆubh)”}”(hŒlibsepol-cos7-x86_64”h#Œ2.5”h%Œha826a6f_1103”h'MOhhh(h)hŒ.libsepol-cos7-x86_64-2.5-ha826a6f_1103.tar.bz2”h+Œ f4c7f1a94dd8769e86def37451e6c674”h.Œ\https://conda.anaconda.org/conda-forge/noarch/libsepol-cos7-x86_64-2.5-ha826a6f_1103.tar.bz2”h0Œ@e41737b26d6b6438018bd734e7feae5d9b2c69aef00bd3355a46e58ba8a9f9aa”h2NhNh3Œsysroot_linux-64 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Æ0$ÕÂhEJi hFˆubh)”}”(hŒr-rvenn”h#Œ1.1.0”h%Œr41hc72bb7e_1”h'Khhh(h)hŒ#r-rvenn-1.1.0-r41hc72bb7e_1.tar.bz2”h+Œ b7bfaef8d6f21b759658132b6c627fdc”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/r-rvenn-1.1.0-r41hc72bb7e_1.tar.bz2”h0Œ@45bc4ea78fc77cd57989de7e3e8123ecbe4b1eb1e68e0e9b1b933201883a6dc0”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-ggforce >=0.2.1”Œr-ggplot2 >=3.0.0”Œr-magrittr >=1.5”Œr-pheatmap >=1.0.10”Œr-purrr >=0.2.5”Œr-rlang >=0.2.2”Œr-vegan >=2.5.2”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÑŽÈ2ñªhEJÈÊ hFˆubh)”}”(hŒ	r-ppclust”h#Œ1.1.0”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ%r-ppclust-1.1.0-r41hc72bb7e_2.tar.bz2”h+Œ 95cce3e37f90737f26885f4aead4955b”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ppclust-1.1.0-r41hc72bb7e_2.tar.bz2”h0Œ@ceb745646b742bb8adf6034976ec26076a3e3bcb5d4ab800203c0a88bd77940b”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-inaparc”Œr-mass”‡”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÒ6àÔþhEJà hFˆubh)”}”(hŒr-shinymatrix”h#Œ0.6.0”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ)r-shinymatrix-0.6.0-r42hc72bb7e_1.tar.bz2”h+Œ 355c175c3d4c976fb6e1ff3b66a71681”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/r-shinymatrix-0.6.0-r42hc72bb7e_1.tar.bz2”h0Œ@2b87685945b9d4388c2f318cdc3c22796240c988d3ac901a1303484ccf983a6f”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-jsonlite”Œr-shiny”‡”h9hºh@ŒMIT”hBŒMIT”hDGAØÒL:°!hEJ˜ hFˆubh)”}”(hŒmesa-libegl-cos7-ppc64le”h#Œ18.3.4”h%Œh9b0a68f_105”h'Kihhh(h)hŒ4mesa-libegl-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h+Œ e94e41f9b5371a992061abbfc6b127e9”h.Œbhttps://conda.anaconda.org/conda-forge/noarch/mesa-libegl-cos7-ppc64le-18.3.4-h9b0a68f_105.tar.bz2”h0Œ@d9adae86ff5b4d76d78395de4d9302f7fa7535134ac8b4d54e7473d253e9df6a”h2NhNh3Œ'mesa-libgbm-cos7-ppc64le ==18.3.4 *_105”…”h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGAØ@ãpƒhEJÅÂ hFˆubh)”}”(hŒsagemaker-tensorflow-container”h#Œ20.3.0”h%Œpyhd3deb0d_1”h'Khhh(h)hŒ:sagemaker-tensorflow-container-20.3.0-pyhd3deb0d_1.tar.bz2”h+Œ 07be09b1756b3ca14f74464cc68a7e81”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/sagemaker-tensorflow-container-20.3.0-pyhd3deb0d_1.tar.bz2”h0Œ@70fdf31b80820068c322751affee68b8c8207a881092bed7040165f7e4e737db”h2NhNh3(Œh5py”Œnumpy >=1.14.0”Œpandas”Œpillow”Œpython”Œsagemaker_containers”Œscikit-learn”Œscipy”t”h9h?h@Œ
Apache-2.0”hBŒAPACHE”hDGAØ#Î¡%hEM¿?hFˆubh)”}”(hŒglib2-cos7-ppc64le”h#Œ2.56.1”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/glib2-cos7-ppc64le-2.56.1-hdf0574f_1102.tar.bz2”h+Œ 79527349e1ea4268e6e94306e96f70e6”h.Œ]https://conda.anaconda.org/conda-forge/noarch/glib2-cos7-ppc64le-2.56.1-hdf0574f_1102.tar.bz2”h0Œ@dae0b87512b8af5086b24773586d3b536e281c3645d28257ddfbc7d9af7744de”h2NhNh3Œsysroot_linux-ppc64le 2.17.*”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Åif‘Û#hEJƒa. hFˆubh)”}”(hŒ	r-english”h#Œ1.2_6”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-english-1.2_6-r41hc72bb7e_0.tar.bz2”h+Œ a341aad554aa2d9ee4498ba3968be634”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-english-1.2_6-r41hc72bb7e_0.tar.bz2”h0Œ@7eea3fffd41589a110ec235f0fa345675e7f6340367377a0d82c1f5833033e6c”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØH×a¼í‘hEJ9 hFˆubh)”}”(hŒlibudev-devel-cos6-x86_64”h#Œ147”h%Œhdf0574f_102”h'Kfhhh(h)hŒ2libudev-devel-cos6-x86_64-147-hdf0574f_102.tar.bz2”h+Œ cfe191550269c94cb82437c144aa608b”h.Œ`https://conda.anaconda.org/conda-forge/noarch/libudev-devel-cos6-x86_64-147-hdf0574f_102.tar.bz2”h0Œ@09cb5e2929cf5f16fb78c8cbb5a2d150bd4f2fd27641322dd6c402c15dafa9e7”h2NhNh3Œlibudev-cos6-x86_64 147”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPL-2.0-or-later”hBŒLGPL”hDGA×Å+uFvÉhEM4phFˆubh)”}”(hŒtyping-compat”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ(typing-compat-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ 0a76d08fc41e64f0da1cfc64aad4d0f5”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/typing-compat-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@41a7b66dd2ed5f2db8544478a92645e469482f986043740682a232cadd737672”h2NhNh3Œpython >=3.5”Œtyping”†”h9h?h@ŒMIT OR Apache-2.0”hDGAØ5F­À´9hEMã.hFˆubh)”}”(hŒnested-lookup”h#Œ0.2.25”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ)nested-lookup-0.2.25-pyhd8ed1ab_0.tar.bz2”h+Œ 9cf9da5e3893f40eeae316b9d425a3d1”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/nested-lookup-0.2.25-pyhd8ed1ab_0.tar.bz2”h0Œ@9b8fe473a93479ff830c964cb9564657b71779437e92144f17046535f898b430”h2NhNh3Œpython >=3.5”Œsix”†”h9h?h@ŒMIT”hBŒMIT”hDGAØ²¼É bNhEM£@hFˆubh)”}”(hŒr-dtt”h#Œ0.1_2”h%Œr36h6115d3f_1003”h'Mëhhh(h)hŒ$r-dtt-0.1_2-r36h6115d3f_1003.tar.bz2”h+Œ af31050ec6b8dd2b5e1540e99962bf94”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-dtt-0.1_2-r36h6115d3f_1003.tar.bz2”h0Œ@3a4c2ea2a66e9a6c7c919553cfe86c9afb6227228cb5c104f9b4dc7a45a9971b”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×«ßY_PhEMúhFˆubh)”}”(hŒ
r-incadata”h#Œ0.9.1”h%Œr36h6115d3f_0”h'K hhh(h)hŒ&r-incadata-0.9.1-r36h6115d3f_0.tar.bz2”h+Œ 516829145e907f46cc2e04b29e8f8f65”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-incadata-0.9.1-r36h6115d3f_0.tar.bz2”h0Œ@dab017b94036870c6d47c1c79fe89bd0d2011a5a077a3f2436a95a2f9646f437”h2NhNh3(Œr-backports”Œr-base >=3.6,<3.7.0a0”Œ	r-decoder”Œr-dplyr”Œr-rvest”Œr-sweidnumbr”Œr-xml2”t”h9hºh@ŒGPL-2”hBŒGPL2”hDGA×£¹h  hEJq hFˆubh)”}”(hŒgslides”h#Œ0.1.1”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ"gslides-0.1.1-pyhd8ed1ab_0.tar.bz2”h+Œ 14189fcb1468b9f4862efe23dceab756”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/gslides-0.1.1-pyhd8ed1ab_0.tar.bz2”h0Œ@cc4667434b473568f5ce95c3a59e6444ae16413e1bef994bcd9b4feef85abd4e”h2NhNh3(Œgoogle-api-core >=1.26.2”Œ google-api-python-client >=2.0.2”Œgoogle-auth >=1.28.0”Œgoogle-auth-httplib2 >=0.1.0”Œgoogle-auth-oauthlib >=0.4.3”Œ!googleapis-common-protos >=1.53.0”Œipython >=7.16.1”Œnumpy >=1.19.5”Œpandas >=1.1.5”Œpython >=3.7”Œpyyaml >=5.4.1”Œrequests >=2.22.0”Œtabulate >=0.8.9”t”h9h?h@ŒMIT”hBŒMIT”hDGAØqÖÚ¡ËhEMóuhFˆubh)”}”(hŒr-randomcolor”h#Œ1.1.0.1”h%Œr41hc72bb7e_2”h'Khhh(h)hŒ+r-randomcolor-1.1.0.1-r41hc72bb7e_2.tar.bz2”h+Œ fe227ddbeef31a0563efd67030854822”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-randomcolor-1.1.0.1-r41hc72bb7e_2.tar.bz2”h0Œ@6d39c788ec43bd0bb1c3b2cd8f086d6f7c071798b7ddd9847fd2f7ffadf09af9”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œ	r-cluster”Œr-colorspace”Œr-rtsne”Œr-scales”Œ	r-stringr”Œr-v8”t”h9hºh@ŒCC0”hBŒCC”hDGAØÔ$Õ‹"ÑhEM³ŽhFˆubh)”}”(hŒr-shinyfiles”h#Œ0.9.3”h%Œr41ha770c72_1”h'Khhh(h)hŒ(r-shinyfiles-0.9.3-r41ha770c72_1.tar.bz2”h+Œ a6c6a9842a53414f1014ba7e6aac9d2c”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-shinyfiles-0.9.3-r41ha770c72_1.tar.bz2”h0Œ@859f9582e4ed40f6bef3ebc580b65ad683f97507143c7d2aa79b7746b4b78870”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-fs >=1.2.6”Œr-htmltools”Œ
r-jsonlite”Œr-shiny >=1.1.0”Œr-tibble >=1.4.2”t”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØÑ‹nvÉhEJo— hFˆubh)”}”(hŒjhub-client”h#Œ0.1.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ&jhub-client-0.1.7-pyhd8ed1ab_0.tar.bz2”h+Œ 0f7d7ca7e0b72028f7ef98d0eb09fa9d”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/jhub-client-0.1.7-pyhd8ed1ab_0.tar.bz2”h0Œ@f4d8b2241046228a096048c81da4b6c91edcc386abe107e905bdd32837b5689a”h2NhNh3Œaiohttp”Œpython >=3.6”Œyarl”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÂ-‰*~úhEMK=hFˆubh)”}”(hŒkmod-cos7-ppc64le”h#Œ20”h%Œh9d98e8f_104”h'Khhhh(h)hŒ)kmod-cos7-ppc64le-20-h9d98e8f_104.tar.bz2”h+Œ b9b97d54245c757d1424bfc08ddf1041”h.ŒWhttps://conda.anaconda.org/conda-forge/noarch/kmod-cos7-ppc64le-20-h9d98e8f_104.tar.bz2”h0Œ@2f0353109141fe44592a70d754eed7ea5e8cf2490ff89a81f1e5b56824602edf”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGA×Ø™8†{hEJ-ò hFˆubh)”}”(hŒ	r-dagwood”h#Œ0.1.4”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ%r-dagwood-0.1.4-r41hc72bb7e_0.tar.bz2”h+Œ 63e7616503ab1a0a60633b2e016d44b9”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dagwood-0.1.4-r41hc72bb7e_0.tar.bz2”h0Œ@f54e39984764c18f423483649beec05c545162c8b5190a3366a1cfd9a3a02a6e”h2NhNh3Œr-base >=4.1,<4.2.0a0”Œ	r-dagitty”†”h9hºh@ŒMIT”hBŒMIT”hDGAØµC]¯\)hEMº‹hFˆubh)”}”(hŒr-ztable”h#Œ0.2.3”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ$r-ztable-0.2.3-r42hc72bb7e_1.tar.bz2”h+Œ 26d933030fddf9f45da44a7c9232534a”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ztable-0.2.3-r42hc72bb7e_1.tar.bz2”h0Œ@af4c9f50618cb841ba672c9a736eee5d4eecc534d160ee1c4b6f78ede0b7b922”h2NhNh3(Œr-base >=4.2,<4.3.0a0”Œr-flextable”Œ
r-magrittr”Œ	r-officer”Œr-rcolorbrewer”Œr-rstudioapi”Œr-scales”Œ	r-stringr”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑ?c‘xÕhEJV hFˆubh)”}”(hŒ	r-swagger”h#Œ3.33.1”h%Œr36h142f84f_0”h'K hhh(h)hŒ&r-swagger-3.33.1-r36h142f84f_0.tar.bz2”h+Œ 11c3728d2c460d99523939bbe74046d1”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-swagger-3.33.1-r36h142f84f_0.tar.bz2”h0Œ@bb3924ff52c9e0d59d5a54c5d7238c8510838727da91eb8e5a1b4bd66d8b31cb”h2NhNh3Œr-base >=3.6,<3.7.0a0”…”h9hºh@Œ
Apache 2.0”hBŒAPACHE”hDGA×Ýíö€r°hEJ a hFˆubh)”}”(hŒlibibverbs-devel-cos6-x86_64”h#Œ1.1.8”h%Œh9b0a68f_105”h'Kihhh(h)hŒ7libibverbs-devel-cos6-x86_64-1.1.8-h9b0a68f_105.tar.bz2”h+Œ 33d36be6c9aebed38bf1bdb69900eeee”h.Œehttps://conda.anaconda.org/conda-forge/noarch/libibverbs-devel-cos6-x86_64-1.1.8-h9b0a68f_105.tar.bz2”h0Œ@c9f33c94f6824bfc991c783e4666af24f63f4e439df227fa57c3f5bcf2c0df41”h2NhNh3Œ$libibverbs-cos6-x86_64 ==1.1.8 *_105”…”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒGPLv2 or BSD”hBŒGPL2”hDGAØ@Xt‹…hEJO hFˆubh)”}”(hŒtext-unidecode”h#Œ1.3”h%Œpy_0”h'K hhh(h)hŒtext-unidecode-1.3-py_0.tar.bz2”h+Œ afcf07cba949f797ac96c5e13e745cc7”h.ŒMhttps://conda.anaconda.org/conda-forge/noarch/text-unidecode-1.3-py_0.tar.bz2”h0Œ@232b434fdf612933e35d3bb087a1fb268ce7cc1ff3e7b742c327c23e19eaefb6”h2NhNh3Œpython”…”h9h?h@ŒArtistic”hBŒOTHER”hDGA×gÐÑ¯|îhEJÁ hFˆubh)”}”(hŒ	ipynbname”h#Œ2021.3.2”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ'ipynbname-2021.3.2-pyhd8ed1ab_0.tar.bz2”h+Œ 8e078f34e50005dde679715c80174aee”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/ipynbname-2021.3.2-pyhd8ed1ab_0.tar.bz2”h0Œ@ff1cc3a824ae5e6b4cb971a37fdb40caece8c3ef590b0b8ec5593067948830e0”h2NhNh3Œ	ipykernel”Œpython >=3.4”†”h9h?h@ŒMIT”hBŒMIT”hDGAØÃOÓ÷ÏhEMÿhFˆubh)”}”(hŒlibxft-cos7-ppc64le”h#Œ2.3.2”h%Œhdf0574f_1102”h'MNhhh(h)hŒ/libxft-cos7-ppc64le-2.3.2-hdf0574f_1102.tar.bz2”h+Œ 06e6a7ec3a04e275002f81bf577c3b2c”h.Œ]https://conda.anaconda.org/conda-forge/noarch/libxft-cos7-ppc64le-2.3.2-hdf0574f_1102.tar.bz2”h0Œ@fd653e6736b37a891629c005713082135506774e653745118224523e9b53152d”h2NhNh3Œ$fontconfig-cos7-ppc64le >=2.2 *_1102”Œsysroot_linux-ppc64le 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Åµ_…‘hhEMuñhFˆubh)”}”(hŒbackcall”h#Œ0.2.0”h%Œpyh9f0ad1d_0”h'K hhh(h)hŒ#backcall-0.2.0-pyh9f0ad1d_0.tar.bz2”h+Œ 6006a6d08a3fa99268a2681c7fb55213”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/backcall-0.2.0-pyh9f0ad1d_0.tar.bz2”h0Œ@ee62d6434090c1327a48551734e06bd10e65a64ef7f3b6e68719500dab0e42b9”h2NhNh3Œpython”…”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×ºJØå`hEM‰5hFˆubh)”}”(hŒmatminer”h#Œ0.8.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ#matminer-0.8.0-pyhd8ed1ab_0.tar.bz2”h+Œ 1980ceb20e73b81456fa69310a3d1dfe”h.ŒQhttps://conda.anaconda.org/conda-forge/noarch/matminer-0.8.0-pyhd8ed1ab_0.tar.bz2”h0Œ@b59f8f7a982fb3fcbe1055d5e8cb63938b6b2c17a3297284ed73e73366ecbbef”h2NhNh3(Œfuture >=0.16.0”Œjsonschema >=4.2.1”Œmonty >=3.0.1”Œnumpy >=1.18.3”Œpandas >=0.23.4”Œpint >=0.8.1”Œpip”Œplotly >=3.2.1”Œpymatgen >=2022.5.17”Œpymongo >=3.11.2”Œpython >=3.5”Œrequests >=2.20.0”Œscikit-learn >=0.21.3”Œsix >=1.16.0”Œsympy >=1.6”Œtqdm >=4.23.1”t”h6(Œujson >=1.35”Œmdf_forge >=0.6.1”Œcitrination-client >=4.0.1”Œase >=3.14.1”Œjmespath >=0.9.3”Œhttplib2 >=0.10.3”Œaflow >=0.0.9”Œdscribe >=0.2.9”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØÛw1ÍÒòhEJg° hFˆubh)”}”(hŒr-virtualspecies”h#Œ1.5.1”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ,r-virtualspecies-1.5.1-r42hc72bb7e_1.tar.bz2”h+Œ 271550b66df772c6da342012f480eff6”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-virtualspecies-1.5.1-r42hc72bb7e_1.tar.bz2”h0Œ@6292241f5b1e122289ea65b488e41b4ee8436e95238b446d3a025415efec638a”h2NhNh3(Œr-ade4”Œr-base >=4.2,<4.3.0a0”Œr-raster”Œr-rworldmap”Œr-sp”t”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑÌ<ÎÙhEJýó hFˆubh)”}”(hŒr-rpmm”h#Œ1.25”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ$r-rpmm-1.25-r40hc72bb7e_1002.tar.bz2”h+Œ 237a0ac7a1431a5bab2e7f9e126ef5c3”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-rpmm-1.25-r40hc72bb7e_1002.tar.bz2”h0Œ@ed8fddcc7abdd5e75fd6a143d7e96e383d718f32b0ba8992169de59f449bfd0c”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-cluster”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGAØ+9 “uhEJ hFˆubh)”}”(hŒnumactl-cos7-ppc64le”h#Œ2.0.12”h%Œh9d98e8f_104”h'Khhhh(h)hŒ0numactl-cos7-ppc64le-2.0.12-h9d98e8f_104.tar.bz2”h+Œ 8dc5c367196e5f00ceb6cf261efaf43d”h.Œ^https://conda.anaconda.org/conda-forge/noarch/numactl-cos7-ppc64le-2.0.12-h9d98e8f_104.tar.bz2”h0Œ@c4f3d7b4495370894666211e33412dfaad702eb6db02e74721caafdd55d6ed66”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGA×â4ò\hEJÆK hFˆubh)”}”(hŒ	rb-minima”h#Œ2.5.1”h%Œ
hc42de5b_1”h'Khhh(h)hŒ"rb-minima-2.5.1-hc42de5b_1.tar.bz2”h+Œ ae9b460711b27eb7d16799829f949c4c”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/rb-minima-2.5.1-hc42de5b_1.tar.bz2”h0Œ@11b1d57c5284ba9e413b6a41d052120eec1aaa7cca283494bd7abb5db51cb6f6”h2NhNh3(Œrb-jekyll >=3.5,<5.0”Œrb-jekyll-feed >=0.9,<1”Œrb-jekyll-seo-tag >=2.1,<3”Œruby >=2.6.3,<2.7.0a0”t”h9hºh@ŒMIT”hBŒMIT”hDGA×[	!ðbNhEMÂšhFˆubh)”}”(hŒr-expsmooth”h#Œ2.3”h%Œr42hc72bb7e_1003”h'Mëhhh(h)hŒ(r-expsmooth-2.3-r42hc72bb7e_1003.tar.bz2”h+Œ 09459fefeffc900012e0075da9bac367”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-expsmooth-2.3-r42hc72bb7e_1003.tar.bz2”h0Œ@372f30e656d12a4992aca5d0522c5fe4ef76eb0f49b6ef6e27d83830908517c5”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œ
r-forecast”†”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÑ°õa™šhEJX® hFˆubh)”}”(hŒr-pathmodelfit”h#Œ1.0.5”h%Œr42hc72bb7e_1”h'Khhh(h)hŒ*r-pathmodelfit-1.0.5-r42hc72bb7e_1.tar.bz2”h+Œ 301b125a1211f99eb15ee65cc8a2a91a”h.ŒXhttps://conda.anaconda.org/conda-forge/noarch/r-pathmodelfit-1.0.5-r42hc72bb7e_1.tar.bz2”h0Œ@2730635ec4398a78ec40cc1a82600026f76b56d3c6c98a5895dcc0f3a325690b”h2NhNh3Œr-base >=4.2,<4.3.0a0”Œr-lavaan”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØÒ=Ùþ$ÝhEMß°hFˆubh)”}”(hŒlibsm-cos7-ppc64le”h#Œ1.2.2”h%Œ
h1341992_0”h'K hhh(h)hŒ+libsm-cos7-ppc64le-1.2.2-h1341992_0.tar.bz2”h+Œ 4d66b788d35e85aa8eb61c7f94cfe52b”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/libsm-cos7-ppc64le-1.2.2-h1341992_0.tar.bz2”h0Œ@301b90ee760a6dc4a925a3e679d1605d33e4d902494eafb0b2f8fb007b681b7e”h2NhNh3)h6Œ#sysroot_linux-ppc64le ==99999999999”…”h9hºh@ŒMIT”hBŒMIT”hDGA×]tÇ®hEMxhFˆubh)”}”(hŒ
setoptconf”h#Œ0.3.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ%setoptconf-0.3.0-pyhd8ed1ab_0.tar.bz2”h+Œ 2ffe2d72d5681b8a95e9bef946a1b174”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/setoptconf-0.3.0-pyhd8ed1ab_0.tar.bz2”h0Œ@14fc1a803d2edf438b15aa457df3ac967ffb43c3bb1e43e8791ee2a75112a53c”h2NhNh3Œpython >=3.6”Œpyyaml”†”h9h?h@ŒMIT”hBŒMIT”hDGAØaÁ“èå`hEM5hFˆubh)”}”(hŒr-plot3d”h#Œ1.4”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ"r-plot3d-1.4-r40hc72bb7e_0.tar.bz2”h+Œ 1713051f1e90c079c78bb6275725e464”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-plot3d-1.4-r40hc72bb7e_0.tar.bz2”h0Œ@b3c60f7cb9ff6f23f19579abbfc70a896b35e09bba430bc1c1caf87da16e2481”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-misc3d”†”h9hºh@ŒGPL-3.0-or-later”hBŒGPL3”hDGAØ*P£\í‘hEJçv+ hFˆubh)”}”(hŒr-mhadaptive”h#Œ1.1_8”h%Œr36h6115d3f_1002”h'Mêhhh(h)hŒ+r-mhadaptive-1.1_8-r36h6115d3f_1002.tar.bz2”h+Œ b3dbd02c3445d76c783b88fc5cbfba67”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-mhadaptive-1.1_8-r36h6115d3f_1002.tar.bz2”h0Œ@b8e369fd69d327e294cf464cd2f79ccdcaa4e24eb8da9cf3373c9295c7586122”h2NhNh3Œr-base >=3.6,<3.7.0a0”Œr-mass”†”h9hºh@Œ
GPL (>= 3)”hBŒGPL3”hDGA×¬	ŠwïžhEJ¶Œ hFˆubh)”}”(hŒsompy”h#Œ0.1.1”h%Œpy_0”h'K hhh(h)hŒsompy-0.1.1-py_0.tar.bz2”h+Œ e45405ff21c20b6f8a66f2871b7a8874”h.ŒFhttps://conda.anaconda.org/conda-forge/noarch/sompy-0.1.1-py_0.tar.bz2”h0Œ@43e3f745cc48df8f66173560d74c670b51bc40c7ce82024ad76d1dc759d3e92a”h2NhNh3(Œ
matplotlib”Œnumexpr >=2.5”Œnumpy >=1.7”Œ	python <3”Œscikit-learn >=0.16”Œscipy >=0.9”t”h9h?h@Œ
Apache 2.0”hBŒApache”hDGA×n´9hEMÿ)hFˆubh)”}”(hŒr-normallaplace”h#Œ0.3_0”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ+r-normallaplace-0.3_0-r40hc72bb7e_0.tar.bz2”h+Œ bcadf09b7b4c869ea99d32361cb75a8e”h.ŒYhttps://conda.anaconda.org/conda-forge/noarch/r-normallaplace-0.3_0-r40hc72bb7e_0.tar.bz2”h0Œ@576a7a133b462458c92313257b3bde16d7d6edb4e97bb00342ad6907fe26b501”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œr-distributionutils”Œr-generalizedhyperbolic”‡”h9hºh@ŒGPL-2.0-or-later”hBŒGPL2”hDGAØzK\ZhEJÃ¥ hFˆubh)”}”(hŒ	r-ymlthis”h#Œ0.1.7”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ%r-ymlthis-0.1.7-r40hc72bb7e_0.tar.bz2”h+Œ b8d00d858a704dc97522c5bd6f384f8c”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-ymlthis-0.1.7-r40hc72bb7e_0.tar.bz2”h0Œ@15058560e76abc5ac74bbb6da1e3abaacd664f761ced9738897e3601a8db393e”h2NhNh3(Œr-base >=4.0,<4.1.0a0”Œr-crayon”Œr-fs”Œr-glue”Œ
r-magrittr”Œr-miniui”Œr-purrr >=0.3.2”Œr-rlang >=0.4.0”Œr-rmarkdown”Œr-rstudioapi”Œr-shiny”Œ	r-shinybs”Œ	r-stringr”Œr-usethis >=1.5.0”Œr-whoami”Œr-withr”Œr-yaml”t”h9hºh@ŒMIT”hBŒMIT”hDGAØ»Wð hEJÝ hFˆubh)”}”(hŒlibbonobo-devel-cos7-x86_64”h#Œ2.32.1”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ8libbonobo-devel-cos7-x86_64-2.32.1-h9d98e8f_1104.tar.bz2”h+Œ 9c01698f9203b94d471a394404763af3”h.Œfhttps://conda.anaconda.org/conda-forge/noarch/libbonobo-devel-cos7-x86_64-2.32.1-h9d98e8f_1104.tar.bz2”h0Œ@a5ddccb8a601e16c6bd9fa543a83f597bb8818c607b13aa4a16fc96a2a1c501c”h2NhNh3(Œ%libbonobo-cos7-x86_64 ==2.32.1 *_1104”Œ)libxml2-devel-cos7-x86_64 >=2.4.21 *_1104”Œ'orbit2-devel-cos7-x86_64 >=2.7.5 *_1104”Œsysroot_linux-64 2.17.*”t”h9hºh@ŒGPLv2+ and LGPLv2+”hBŒGPL2”hDGA×É€ hEJAÔ hFˆubh)”}”(hŒlibxrender-devel-cos7-aarch64”h#Œ0.9.10”h%Œh9d98e8f_1104”h'MPhhh(h)hŒ:libxrender-devel-cos7-aarch64-0.9.10-h9d98e8f_1104.tar.bz2”h+Œ 8123dafcdac0f1dd2a7822da627a9cd7”h.Œhhttps://conda.anaconda.org/conda-forge/noarch/libxrender-devel-cos7-aarch64-0.9.10-h9d98e8f_1104.tar.bz2”h0Œ@e16e8b89135b09220ea6a517c76069708efedbd9ed5343c4b7935a21bcfbd1a9”h2NhNh3Œ'libxrender-cos7-aarch64 ==0.9.10 *_1104”Œsysroot_linux-aarch64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×É€ÕöVhEM0hFˆubh)”}”(hŒr-xmlschema”h#Œ0.8”h%Œr41hd8ed1ab_1003”h'Mëhhh(h)hŒ(r-xmlschema-0.8-r41hd8ed1ab_1003.tar.bz2”h+Œ a56fce4deebcab7072493c6c54543950”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-xmlschema-0.8-r41hd8ed1ab_1003.tar.bz2”h0Œ@d8cdd547aa3b6b71e53fa8ad6b1af8f21f7e417c3097cddc88bd6377803a0d6e”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-codetools”Œr-rcurl”Œr-xml”t”h9hºh@ŒGPL-2.0-only”hBŒGPL”hDGAØÑ÷~éyhEJËÂ hFˆubh)”}”(hŒr-irr”h#Œ0.84.1”h%Œr35h6115d3f_1”h'Khhh(h)hŒ"r-irr-0.84.1-r35h6115d3f_1.tar.bz2”h+Œ 028ffecb3f9dec653e649ab2d6543917”h.ŒPhttps://conda.anaconda.org/conda-forge/noarch/r-irr-0.84.1-r35h6115d3f_1.tar.bz2”h0Œ@484eefaa156b9c3b8351a70479d0b0dfabcafa61e6ed31a77d4b7a88e6a78477”h2NhNh3Œr-base >=3.5,<3.6.0a0”Œ	r-lpsolve”†”h9hºh@Œ
GPL (>= 2)”hBŒGPL3”hDGA×Læ7%ãThEJŠ hFˆubh)”}”(hŒr-expsmooth”h#Œ2.3”h%Œr40hc72bb7e_1002”h'Mêhhh(h)hŒ(r-expsmooth-2.3-r40hc72bb7e_1002.tar.bz2”h+Œ e34c1d3c6b11dab942eda6016f92aef0”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-expsmooth-2.3-r40hc72bb7e_1002.tar.bz2”h0Œ@61b09a0468044eeeb971005d155fc097789a3716132c81a4705f8829e8c0f5e0”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ
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r-isingfit”Œr-networkcomparisontest”Œr-nnet”Œr-psych”Œr-qgraph”Œ	r-r.utils”Œr-rcolorbrewer”Œ
r-reshape2”Œr-smacof”Œr-wordcloud”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ¦°dç;dhEJðL hFˆubh)”}”(hŒr-ibreakdown”h#Œ2.0.1”h%Œr40hc72bb7e_0”h'K hhh(h)hŒ(r-ibreakdown-2.0.1-r40hc72bb7e_0.tar.bz2”h+Œ 13fab123fde9ff2c050bbfc09169baad”h.ŒVhttps://conda.anaconda.org/conda-forge/noarch/r-ibreakdown-2.0.1-r40hc72bb7e_0.tar.bz2”h0Œ@0add9c4c71033b3aad8b87d93567d39e4b7cfb1af8524fbc2e7ba3078dbd4f6d”h2NhNh3Œr-base >=4.0,<4.1.0a0”Œ	r-ggplot2”†”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ%V"Q&éhEJS± hFˆubh)”}”(hŒ
r-labeling”h#Œ0.4.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-labeling-0.4.2-r41hc72bb7e_0.tar.bz2”h+Œ 73dd8a97d95aff43a4a4bb4fa7dda618”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-labeling-0.4.2-r41hc72bb7e_0.tar.bz2”h0Œ@45c398ddf7a8223cb1a3197c7911eda768eddfcf5b2c2fcabf8003f1900464dc”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒMIT OR Unlimited”hBŒMIT”hDGAØ*ÓðY7LhEJw hFˆubh)”}”(hŒ
r-histdata”h#Œ0.8_7”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ&r-histdata-0.8_7-r41hc72bb7e_0.tar.bz2”h+Œ 5339389cae7b8a619a12e80d51ce440a”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-histdata-0.8_7-r41hc72bb7e_0.tar.bz2”h0Œ@4ee4f05cc722a16080475c07aef354056978427bac1caf914d1e8aa2f005c842”h2NhNh3Œr-base >=4.1,<4.2.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ_¿ÏPhEJÂ" hFˆubh)”}”(hŒmordred”h#Œ1.2.0”h%Œpy_1”h'Khhh(h)hŒmordred-1.2.0-py_1.tar.bz2”h+Œ d7e222ababd2587dfee1fb7194b9a4e9”h.ŒHhttps://conda.anaconda.org/conda-forge/noarch/mordred-1.2.0-py_1.tar.bz2”h0Œ@edd3ced26cc280af58585562ac6e17b92279187e8fa841041f538a8c6ae7c675”h2NhNh3(Œnetworkx”Œnumpy”Œpython”Œrdkit”Œsix”Œtqdm 4.*”t”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGA×‘_–e`BhEJï hFˆubh)”}”(hŒr-mustat”h#Œ1.7.0”h%Œr42ha770c72_1003”h'Mëhhh(h)hŒ'r-mustat-1.7.0-r42ha770c72_1003.tar.bz2”h+Œ a6382404e936008163682e6b136ea62d”h.ŒUhttps://conda.anaconda.org/conda-forge/noarch/r-mustat-1.7.0-r42ha770c72_1003.tar.bz2”h0Œ@94b9d12df8420e09b89997b83c1aac7039f003532e346b82ec5b44921192cbb9”h2NhNh3Œr-base >=4.2,<4.3.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØÒL²,(öhEJ²c hFˆubh)”}”(hŒ!jupyterlab-transient-display-data”h#Œ0.4.3”h%Œpyh1d7be83_0”h'K hhh(h)hŒ<jupyterlab-transient-display-data-0.4.3-pyh1d7be83_0.tar.bz2”h+Œ 329e423d3032d27c4698883467b07a91”h.Œjhttps://conda.anaconda.org/conda-forge/noarch/jupyterlab-transient-display-data-0.4.3-pyh1d7be83_0.tar.bz2”h0Œ@68b55ddfabaa47dee60b161d3aa2cc1a58732a9822afe623396cea4177c7f259”h2NhNh3Œjupyterlab >=3.0.0”Œnodejs”Œpython >=3.6”‡”h9h?h@ŒBSD-3-Clause”hBŒBSD”hDGAØºtb/
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r-textstem”h#Œ0.1.4”h%Œr41hc72bb7e_3”h'Khhh(h)hŒ&r-textstem-0.1.4-r41hc72bb7e_3.tar.bz2”h+Œ c92f3714e60c9f20dc52b250e27af4e3”h.ŒThttps://conda.anaconda.org/conda-forge/noarch/r-textstem-0.1.4-r41hc72bb7e_3.tar.bz2”h0Œ@6c8ed5a6c5584dfc2ec7eec89d8567eba208e856c3cb639847d239b32dfba979”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-dplyr”Œ
r-hunspell”Œr-korpus”Œr-korpus.lang.en”Œr-lexicon >=0.4.1”Œr-quanteda >=0.99.12”Œr-snowballc”Œ	r-stringi”Œr-textclean”Œr-textshape”t”h9hºh@ŒGPL-2.0-only”hBŒGPL2”hDGAØÑý…¹Û#hEJ3 hFˆubh)”}”(hŒlibxinerama-cos7-x86_64”h#Œ1.1.3”h%Œha826a6f_1103”h'MOhhh(h)hŒ3libxinerama-cos7-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h+Œ 7650eb1408a6b45ded113461d4dee9b9”h.Œahttps://conda.anaconda.org/conda-forge/noarch/libxinerama-cos7-x86_64-1.1.3-ha826a6f_1103.tar.bz2”h0Œ@04f28e0aec1cef1ddc93661a92c4086bc87fa7d8184d11ad225992c47ae7ff11”h2NhNh3Œ&libx11-cos7-x86_64 >=1.5.99.902 *_1103”Œsysroot_linux-64 2.17.*”†”h9hºh@ŒMIT”hBŒMIT”hDGA×Æ2	0A‰hEMÖ*hFˆubh)”}”(hŒvvm”h#Œ0.1.0”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒvvm-0.1.0-pyhd8ed1ab_0.tar.bz2”h+Œ adea66da92f75890bd2a15e2c73ea22e”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/vvm-0.1.0-pyhd8ed1ab_0.tar.bz2”h0Œ@88cbae2ffe0e70e6e32f642742add60fc8cfc7642f01c150c8b6f8bf87d7c2ff”h2NhNh3Œpython >=3.6,<4.0”Œrequests >=2.19.0,<3”Œsemantic_version >=2.8.1,<3”‡”h9h?h@ŒMIT”hBŒMIT”hDGAØ?ÿP“uhEM 6hFˆubh)”}”(hŒr-ipmisc”h#Œ6.0.2”h%Œr41hc72bb7e_0”h'K hhh(h)hŒ$r-ipmisc-6.0.2-r41hc72bb7e_0.tar.bz2”h+Œ ed3b566e3466610e59055512bf5a39fe”h.ŒRhttps://conda.anaconda.org/conda-forge/noarch/r-ipmisc-6.0.2-r41hc72bb7e_0.tar.bz2”h0Œ@dada04d911a2cc386cf781567641e40c8e763cfa7e9dc438a3697504758194f7”h2NhNh3(Œr-base >=4.1,<4.2.0a0”Œr-crayon”Œr-dplyr”Œ	r-forcats”Œr-rlang”Œr-rstudioapi”Œr-tibble”Œr-tidyr”Œ	r-zeallot”t”h9hºh@ŒGPL-3.0-only”hBŒGPL3”hDGAØ+ŸS‰7hEMjÜhFˆubh)”}”(hŒckanapi”h#Œ4.7”h%Œpyhd8ed1ab_0”h'K hhh(h)hŒ ckanapi-4.7-pyhd8ed1ab_0.tar.bz2”h+Œ ecefe50fd11ac11bea0f54e4a1123f78”h.ŒNhttps://conda.anaconda.org/conda-forge/noarch/ckanapi-4.7-pyhd8ed1ab_0.tar.bz2”h0Œ@07e88a74daa9f6134e3ccf1f30f7b5ec8234c6292702705c8b1fb39eff328f26”h2NhNh3(Œdocopt”Œpython >=3.6”Œpython-slugify >=1.0”Œrequests”Œ
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python >=3”Œrequests”Œrich”Œ
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Apache-2.0”hBŒAPACHE”hDGAØµ´{hEJ hFˆubh)”}”(hŒ	r-dummies”h#Œ1.5.6”h%Œr40hc72bb7e_3”h'Khhh(h)hŒ%r-dummies-1.5.6-r40hc72bb7e_3.tar.bz2”h+Œ a91619310370f1ef59f7f3b6c5e88022”h.ŒShttps://conda.anaconda.org/conda-forge/noarch/r-dummies-1.5.6-r40hc72bb7e_3.tar.bz2”h0Œ@6763dc9aa94a29fc4d774ed965f7ae473c933724d2ac971e08be261ff1a4f96c”h2NhNh3Œr-base >=4.0,<4.1.0a0”…”h9hºh@ŒGPL-2.0-or-later”hBŒGPL3”hDGAØ+, QìhEM	 hFˆubh)”}”(hŒr-uptasticsearch”h#Œ0.4.0”h%Œr36h6115d3f_1”h'Khhh(h)hŒ,r-uptasticsearch-0.4.0-r36h6115d3f_1.tar.bz2”h+Œ 402c99e75b0d3bf74b7ad9d45ab7f0db”h.ŒZhttps://conda.anaconda.org/conda-forge/noarch/r-uptasticsearch-0.4.0-r36h6115d3f_1.tar.bz2”h0Œ@0e28ec6626bc9709c0bd7258fb46587e91dc37f06c46d7ccc065119a30bed2be”h2NhNh3(Œr-assertthat >=0.2.0”Œr-base >=3.6,<3.7.0a0”Œr-data.table”Œr-futile.logger”Œr-httr”Œ
r-jsonlite”Œr-purrr”Œ	r-stringr”Œr-uuid”t”h9hºh@ŒBSD-3-Clause”hBŒBSD”hDGA×ªÑãThEJ¾± hFˆubh)”}”(hŒ
ml_tooling”h#Œ0.12.0”h%Œpy_0”h'K hhh(h)hŒml_tooling-0.12.0-py_0.tar.bz2”h+Œ 2eb5de65a683fdb62687beef3daac5f2”h.ŒLhttps://conda.anaconda.org/conda-forge/noarch/ml_tooling-0.12.0-py_0.tar.bz2”h0Œ@77a9d666bb5755a9e3173e0febace565f7dcd13ac0b8750aa96a4b040dc3136e”h2NhNh3(Œattrs”Œjoblib”Œmatplotlib-base”Œnumpy”Œpandas”Œpython >=3.7”Œpyyaml”Œscikit-learn”Œscikit-optimize”Œ
sqlalchemy”t”h9h?h@ŒMIT”hBŒMIT”hDGA×Ýr]p  hEMp¯hFˆubh)”}”(hŒlibsoup-devel-cos6-x86_64”h#Œ2.34.3”h%Œh9b0a68f_105”h'Kihhh(h)hŒ5libsoup-devel-cos6-x86_64-2.34.3-h9b0a68f_105.tar.bz2”h+Œ 745d19fe0e5741f596d53e76bd452e90”h.Œchttps://conda.anaconda.org/conda-forge/noarch/libsoup-devel-cos6-x86_64-2.34.3-h9b0a68f_105.tar.bz2”h0Œ@8a5282913ac0a950eb452eaa96978f1b4100ecc449c9ed1690d4a4f5895676d9”h2NhNh3Œ'glib2-devel-cos6-x86_64 >=2.27.90 *_105”Œ"libsoup-cos6-x86_64 ==2.34.3 *_105”†”h6Œsysroot_linux-64 ==99999999999”…”h9hºh@ŒLGPLv2”hBŒLGPL”hDGAØ@Z´JhEJ+i hFˆubh)”}”(hŒ
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  aj  ]”j  aj   ]”j  aj0  ]”j.  ajB  ]”(j@  j¢ä ejS  ]”jQ  ajf  ]”jd  aj„  ]”j‚  aj’  ]”j  aj¥  ]”j£  aj³  ]”j±  ajÅ  ]”(jÃ  jÕ  ejê  ]”jè  aj  ]”j  aj  ]”j  aj4  ]”j2  ajE  ]”(jC  jŠ˜ jI ejR  ]”(jP  j§± jù j ej`  ]”j^  ajo  ]”jm  aj  ]”j  ajŽ  ]”(jŒ  jž  ej³  ]”j±  ajÄ  ]”jÂ  ajÚ  ]”jØ  ajå  ]”jã  ajð  ]”jî  ajû  ]”jù  aj  ]”j  aj  ]”j  aj#  ]”j!  aj2  ]”j0  ajA  ]”j?  aj\  ]”jZ  ajk  ]”ji  ajz  ]”jx  ajŠ  ]”jˆ  ajš  ]”j˜  aj©  ]”j§  aj¸  ]”j¶  ajÉ  ]”jÇ  aj×  ]”jÕ  ajç  ]”jå  ajö  ]”jô  aj  ]”j  aj  ]”j  aj#  ]”j!  aj2  ]”j0  ajD  ]”jB  ajS  ]”jQ  aje  ]”jc  ajt  ]”jr  aj…  ]”jƒ  aj”  ]”j’  aj£  ]”j¡  aj³  ]”j±  ajÅ  ]”jÃ  ajÖ  ]”jÔ  ajå  ]”jã  ajó  ]”jñ  aj  ]”j   ajJ  ]”jH  aj[  ]”jY  ajj  ]”jh  aj|  ]”jz  ajŠ  ]”jˆ  ajš  ]”j˜  ajª  ]”j¨  aj¹  ]”j·  ajÉ  ]”jÇ  ajØ  ]”jÖ  ajç  ]”jå  aj÷  ]”jõ  aj  ]”j  aj  ]”j  aj&  ]”j$  aj4  ]”j2  ajC  ]”jA  ajS  ]”jQ  ajb  ]”j`  ajx  ]”jv  aj‡  ]”j…  aj—  ]”j•  aj¨  ]”j¦  aj¸  ]”j¶  ajÇ  ]”jÅ  aj×  ]”jÕ  ajæ  ]”jä  ajõ  ]”jó  aj  ]”j  aj  ]”j  aj"  ]”j   aj2  ]”j0  ajC  ]”jA  ajR  ]”jP  ajb  ]”j`  ajq  ]”jo  aj€  ]”j~  aj‘  ]”j  aj¡  ]”jŸ  aj°  ]”j®  aj¿  ]”j½  ajÌ  ]”jÊ  ajÚ  ]”jØ  ajê  ]”(jè  jù  ej  ]”j
  aj  ]”j  aj.  ]”j,  ajB  ]”j@  ajQ  ]”jO  ajb  ]”j`  aj  ]”j}  aj  ]”jŽ  aj¤  ]”j¢  aj´  ]”j²  ajÛ  ]”jÙ  aj÷  ]”(jõ  j  ej+  ]”j)  aj8  ]”(j6  j	 ejF  ]”jD  aj\  ]”jZ  ajs  ]”jq  aj‹  ]”(j‰  jœ  j°  jÄ  ejÚ  ]”(jØ  jwš jÀS jhK ejç  ]”jå  ajô  ]”(jò  jn  ej  ]”(j  j  ej  ]”j  aj8  ]”j6  ajI  ]”jG  ajV  ]”jT  ajg  ]”je  ajw  ]”ju  aj  ]”jŽ  aj¢  ]”j   aj´  ]”j²  ajÁ  ]”j¿  ajÒ  ]”jÐ  ajß  ]”(jÝ  jë  jù  j  ej  ]”j  aj+  ]”j)  ajB  ]”j@  ajP  ]”jN  aj\  ]”jZ  ajk  ]”(ji  jv  ej…  ]”jƒ  aj—  ]”j•  ajª  ]”(j¨  jê& j³ä ejÂ  ]”(jÀ  jÔ  ejê  ]”(jè  jö  ej  ]”j  aj  ]”j  aj5  ]”j3  ajB  ]”j@  ajQ  ]”(jO  j5Ê ej_  ]”j]  aj}  ]”j{  aj  ]”j‹  aj¹  ]”j·  ajÍ  ]”jË  ajÛ  ]”jÙ  ajè  ]”jæ  ajø  ]”jö  aj
  ]”(j  jo' ej  ]”j  aj*  ]”j(  aj8  ]”j6  ajI  ]”jG  ajV  ]”jT  ajd  ]”jb  ajr  ]”jp  aj‚  ]”j€  aj  ]”jŽ  aj¤  ]”j¢  aj¶  ]”j´  ajÖ  ]”jÔ  ajò  ]”jð  aj  ]”j  aj*  ]”(j(  j¸ ej?  ]”j=  ajT  ]”(jR  j_  jl  j4é jø jò j1b j¢ª j=° ej{  ]”jy  ajŠ  ]”jˆ  ajœ  ]”jš  aj¬  ]”(jª  j¹  ejÊ  ]”(jÈ  jì­ ejÙ  ]”j×  ajæ  ]”jä  aj÷  ]”jõ  aj  ]”(j  j÷n ej  ]”j  aj3  ]”j1  ajA  ]”j?  ajP  ]”jN  aj]  ]”j[  ajk  ]”ji  ajz  ]”jx  aj‰  ]”j‡  ajš  ]”j˜  aj¬  ]”(jª  j¼  jÎ  jà  jò  j  ej  ]”(j  j/  ejK  ]”(jI  jZ  jk  j|  j  ejŸ  ]”(j  jÍ  ejÿ  ]”(jý  j  j%  j9  jM  ejg  ]”je  aju  ]”js  aj”  ]”(j’  j
¦ jÓ ej£  ]”j¡  aj²  ]”(j°  j¾  ejÍ  ]”jË  ajÚ  ]”jØ  ajï  ]”jí  aj  ]”jÿ  aj#  ]”j!  aj5  ]”j3  ajD  ]”jB  ajd  ]”jb  ajq  ]”(jo  j† ej~  ]”(j|  j‚ ej  ]”jŽ  aj¡  ]”(jŸ  j	¯ ej¯  ]”j­  ajÂ  ]”jÀ  ajÓ  ]”jÑ  ajè  ]”(jæ  jáI ej÷  ]”jõ  aj  ]”j  aj+  ]”(j)  j>  j. ejU  ]”jS  ajd  ]”jb  ajr  ]”jp  aj  ]”j  aj’  ]”j  aj£  ]”j¡  ajµ  ]”j³  ajÆ  ]”(jÄ  j ô ejÙ  ]”j×  ajé  ]”jç  ajú  ]”jø  aj
  ]”(j  j:x ej  ]”(j  jÀ¿ j©Î ej*  ]”j(  aj8  ]”(j6  jöú ejH  ]”jF  ajY  ]”(jW  jh  j9 ejz  ]”jx  aj‹  ]”j‰  aj›  ]”j™  aj«  ]”j©  aj¹  ]”j·  aj×  ]”(jÕ  jç  jä jqš ejú  ]”jø  aj  ]”j	  aj  ]”j  aj(  ]”(j&  j)à ej?  ]”(j=  jK  ej[  ]”jY  ajk  ]”(ji  jšý ejx  ]”jv  aj…  ]”jƒ  aj”  ]”j’  aj©  ]”j§  ajº  ]”j¸  ajÔ  ]”jÒ  ajê  ]”jè  aj÷  ]”jõ  aj   ]”j   aj    ]”j   aj5   ]”j3   ajF   ]”jD   ajV   ]”jT   ajc   ]”(ja   jn   jÌ¨ j]Ì ej}   ]”(j{   j‰   jÖ" jÌ ej™   ]”j—   ajª   ]”j¨   aj·   ]”jµ   ajÈ   ]”jÆ   ajÞ   ]”jÜ   ajï   ]”jí   aj !  ]”jþ   aj!  ]”j!  aj$!  ]”j"!  aj8!  ]”j6!  ajE!  ]”jC!  ajZ!  ]”jX!  ajl!  ]”(jj!  j ejy!  ]”jw!  aj‰!  ]”(j‡!  j•!  j« j˜ó ej¥!  ]”j£!  ajº!  ]”j¸!  ajÖ!  ]”(jÔ!  jæ!  ejû!  ]”jù!  aj"  ]”j"  aj+"  ]”j)"  aj;"  ]”j9"  ajO"  ]”jM"  aja"  ]”j_"  ajv"  ]”jt"  ajˆ"  ]”j†"  aj–"  ]”j”"  aj£"  ]”j¡"  aj·"  ]”jµ"  ajÌ"  ]”jÊ"  ajÚ"  ]”jØ"  ajö"  ]”jô"  aj#  ]”j#  aj+#  ]”j)#  ajA#  ]”j?#  ajV#  ]”jT#  ajo#  ]”jm#  aj‚#  ]”(j€#  j˜ ej‘#  ]”j#  aj¤#  ]”j¢#  aj¼#  ]”(jº#  jb” ejÉ#  ]”jÇ#  ajÖ#  ]”(jÔ#  jâ#  ejò#  ]”(jð#  jÿ#  ej$  ]”(j$  j$  ej,$  ]”j*$  aj9$  ]”j7$  ajH$  ]”(jF$  jÙ/ jif ejY$  ]”jW$  ajp$  ]”jn$  aj}$  ]”j{$  aj$  ]”j‹$  aj¥$  ]”j£$  aj¹$  ]”(j·$  j(É ejÎ$  ]”jÌ$  ajä$  ]”jâ$  ajû$  ]”jù$  aj%  ]”j%  aj%  ]”j%  aj?%  ]”j=%  ajN%  ]”jL%  aja%  ]”j_%  aju%  ]”js%  aj‹%  ]”j‰%  ajž%  ]”(jœ%  j´%  jÎ%  jè%  j&  ej&  ]”j&  aj6&  ]”j4&  ajD&  ]”(jB&  j?« jª j!3 ejZ&  ]”(jX&  j†^ ejg&  ]”je&  aj|&  ]”jz&  aj‹&  ]”j‰&  aj&  ]”(j›&  j«&  j»&  jË&  j[ jmÈ j jï¨ jˆ jÁ­ jH ejÝ&  ]”jÛ&  ajì&  ]”jê&  aj '  ]”jþ&  aj'  ]”j'  aj#'  ]”(j!'  j1'  jè— jÐÁ ejC'  ]”jA'  ajQ'  ]”jO'  ajc'  ]”ja'  ajp'  ]”jn'  ajƒ'  ]”j'  aj•'  ]”j“'  aj®'  ]”j¬'  ajÃ'  ]”jÁ'  ajç'  ]”jå'  ajù'  ]”(j÷'  j(  j(  j!(  j/(  j=(  jK(  ej[(  ]”jY(  ajs(  ]”jq(  aj˜(  ]”(j–(  jùÐ ej§(  ]”j¥(  aj·(  ]”jµ(  ajÆ(  ]”jÄ(  ajÓ(  ]”jÑ(  ajå(  ]”jã(  ajó(  ]”jñ(  aj)  ]”j
)  aj)  ]”j)  aj*)  ]”j()  aj8)  ]”j6)  ajG)  ]”jE)  ajV)  ]”jT)  ajf)  ]”jd)  ajt)  ]”jr)  aj‚)  ]”j€)  aj“)  ]”j‘)  aj¢)  ]”j )  ajµ)  ]”j³)  ajÄ)  ]”(jÂ)  jÙ)  ejò)  ]”jð)  aj*  ]”(j*  j+*  jG*  eje*  ]”jc*  ajw*  ]”ju*  aj‡*  ]”j…*  aj*  ]”j›*  aj¯*  ]”(j­*  jº*  j¹Ã ejÊ*  ]”jÈ*  ajÕ*  ]”jÓ*  ajé*  ]”(jç*  j¬Å ejø*  ]”(jö*  j+  ej+  ]”j+  aj%+  ]”(j#+  j	« j4m ej2+  ]”(j0+  j*G ej?+  ]”j=+  ajN+  ]”(jL+  jIÃ ej_+  ]”j]+  aju+  ]”js+  aj‡+  ]”j…+  ajœ+  ]”jš+  aj°+  ]”j®+  aj¿+  ]”(j½+  jÿ; ejÑ+  ]”(jÏ+  jî+  ej,  ]”j,  aj,  ]”j,  aj5,  ]”j3,  ajI,  ]”jG,  aj`,  ]”j^,  aju,  ]”js,  aj‡,  ]”j…,  aj›,  ]”j™,  aj­,  ]”j«,  aj½,  ]”j»,  ajÓ,  ]”jÑ,  ajñ,  ]”jï,  ajÿ,  ]”jý,  aj-  ]”j-  aj+-  ]”(j)-  j~, jºz ej:-  ]”j8-  ajM-  ]”(jK-  j_-  eju-  ]”js-  aj‹-  ]”j‰-  aj³-  ]”j±-  ajÆ-  ]”(jÄ-  jŠO ejÙ-  ]”j×-  ajì-  ]”jê-  ajþ-  ]”(jü-  j¬ˆ ej.  ]”j.  aj .  ]”j.  aj4.  ]”j2.  ajL.  ]”jJ.  aj_.  ]”j].  ajr.  ]”jp.  aj€.  ]”j~.  aj.  ]”jŽ.  aj .  ]”(jž.  j6Ä ej¯.  ]”(j­.  j½.  jÍ.  jƒÎ j5k ejß.  ]”jÝ.  aj÷.  ]”jõ.  aj/  ]”j/  aj)/  ]”j'/  aj</  ]”j:/  ajN/  ]”jL/  aj^/  ]”j\/  ajx/  ]”jv/  aj‰/  ]”j‡/  aj›/  ]”(j™/  j¥/  ej³/  ]”j±/  ajÃ/  ]”jÁ/  ajÒ/  ]”jÐ/  ajà/  ]”(jÞ/  jí/  ejþ/  ]”(jü/  j¡ jÐÛ ej0  ]”j0  aj(0  ]”j&0  aj90  ]”j70  ajK0  ]”jI0  ajb0  ]”j`0  ajo0  ]”jm0  aj0  ]”j}0  aj0  ]”j‹0  aj£0  ]”j¡0  aj³0  ]”j±0  ajÄ0  ]”jÂ0  ajÙ0  ]”(j×0  jç0  ejù0  ]”j÷0  aj1  ]”j1  aj1  ]”j1  aj,1  ]”j*1  aj91  ]”j71  ajG1  ]”jE1  ajV1  ]”jT1  ajf1  ]”jd1  aj~1  ]”j|1  aj‹1  ]”j‰1  ajŸ1  ]”j1  aj¬1  ]”jª1  aj¼1  ]”jº1  ajË1  ]”jÉ1  ajß1  ]”jÝ1  ajï1  ]”jí1  aj2  ]”j2  aj2  ]”j2  aj)2  ]”j'2  aj:2  ]”j82  ajI2  ]”jG2  ajX2  ]”jV2  ajg2  ]”je2  aju2  ]”js2  aj‡2  ]”j…2  aj™2  ]”j—2  aj«2  ]”j©2  ajÆ2  ]”(jÄ2  js ejÕ2  ]”jÓ2  ajç2  ]”jå2  ajõ2  ]”(jó2  j¿~ ej3  ]”j3  aj3  ]”j3  aj$3  ]”j"3  aj43  ]”j23  ajG3  ]”(jE3  jT3  jÚó eje3  ]”(jc3  j3  j¾3  jì3  j 4  ejW4  ]”jU4  ajw4  ]”(ju4  j—4  ejº4  ]”j¸4  ajÚ4  ]”jØ4  ajë4  ]”(jé4  jÿ4  ej5  ]”(j5  j&5  ej95  ]”j75  ajH5  ]”jF5  ajX5  ]”jV5  ajg5  ]”je5  ajv5  ]”jt5  aj…5  ]”(jƒ5  j­š j8 jè¬ ej’5  ]”(j5  j5 jÚ6 ej¡5  ]”jŸ5  aj¯5  ]”j­5  aj½5  ]”j»5  ajÍ5  ]”jË5  ajÛ5  ]”jÙ5  ajé5  ]”jç5  aj÷5  ]”jõ5  aj6  ]”j6  aj6  ]”j6  aj%6  ]”j#6  aj36  ]”(j16  jäe j¡4 jÚÒ jåV ejD6  ]”jB6  ajV6  ]”jT6  ajl6  ]”jj6  aj}6  ]”(j{6  j3" ej”6  ]”j’6  aj²6  ]”j°6  ajÅ6  ]”(jÃ6  jJè ejá6  ]”jß6  ajî6  ]”jì6  ajü6  ]”jú6  aj7  ]”j7  aj+7  ]”j)7  aj>7  ]”j<7  ajR7  ]”jP7  aja7  ]”j_7  aj}7  ]”j{7  aj7  ]”j7  ajœ7  ]”jš7  ajª7  ]”j¨7  ajÌ7  ]”jÊ7  ajß7  ]”jÝ7  ajì7  ]”jê7  aj
8  ]”j8  aj58  ]”j38  ajB8  ]”j@8  ajQ8  ]”jO8  ajf8  ]”jd8  aju8  ]”js8  aj„8  ]”j‚8  aj’8  ]”j8  aj 8  ]”jž8  aj²8  ]”j°8  aj¿8  ]”j½8  ajÌ8  ]”(jÊ8  jÜ8  ejð8  ]”jî8  ajÿ8  ]”jý8  aj9  ]”(j9  j9  ej'9  ]”j%9  aj59  ]”j39  ajF9  ]”jD9  ajZ9  ]”jX9  ajh9  ]”jf9  ajw9  ]”ju9  aj†9  ]”j„9  aj•9  ]”j“9  aj¤9  ]”j¢9  aj³9  ]”j±9  ajÂ9  ]”jÀ9  ajÞ9  ]”jÜ9  ajï9  ]”jí9  aj:  ]”j:  aj":  ]”j :  aj6:  ]”j4:  ajD:  ]”jB:  ajU:  ]”jS:  ajm:  ]”jk:  aj}:  ]”j{:  ajˆ:  ]”j†:  aj’:  ]”j:  aj¦:  ]”j¤:  aj¶:  ]”(j´:  jøò jï> ejÛ:  ]”jÙ:  ajë:  ]”jé:  ajü:  ]”jú:  aj
;  ]”j;  aj;  ]”j;  aj.;  ]”j,;  ajN;  ]”jL;  ajb;  ]”j`;  aj„;  ]”(j‚;  j’;  j¢;  ej´;  ]”j²;  ajÆ;  ]”jÄ;  ajÔ;  ]”(jÒ;  jÜƒ ejá;  ]”(jß;  jð ejø;  ]”jö;  aj<  ]”j<  aj<  ]”j<  aj%<  ]”(j#<  j9<  ejQ<  ]”jO<  ajd<  ]”(jb<  ju<  ej‹<  ]”j‰<  ajš<  ]”j˜<  aj¯<  ]”j­<  ajÀ<  ]”j¾<  ajÓ<  ]”jÑ<  ajà<  ]”(jÞ<  j  ejü<  ]”jú<  aj	=  ]”j=  aj=  ]”j=  aj'=  ]”j%=  aj5=  ]”j3=  ajB=  ]”j@=  ajP=  ]”jN=  ajb=  ]”(j`=  jx=  ej’=  ]”j=  aj§=  ]”(j¥=  j#† ej·=  ]”(jµ=  jÃ=  ejÓ=  ]”jÑ=  ajá=  ]”(jß=  jÂ® ejî=  ]”jì=  ajü=  ]”jú=  aj>  ]”j	>  aj>  ]”(j>  jJã jÏ ej*>  ]”j(>  aj7>  ]”j5>  ajH>  ]”jF>  ajU>  ]”jS>  ajd>  ]”jb>  ajy>  ]”(jw>  jZ ej>  ]”jŽ>  aj£>  ]”j¡>  aj½>  ]”j»>  ajÕ>  ]”jÓ>  ajá>  ]”jß>  ajò>  ]”jð>  aj?  ]”(j?  j+½ ej?  ]”j?  aj?  ]”j?  aj2?  ]”(j0?  jT?  j¶ˆ ejz?  ]”jx?  aj‰?  ]”j‡?  aj™?  ]”j—?  aj­?  ]”j«?  ajÀ?  ]”j¾?  ajÕ?  ]”jÓ?  ajä?  ]”jâ?  ajú?  ]”(jø?  j@  ej@  ]”(j@  j@  ej.@  ]”(j,@  j8@  ejF@  ]”(jD@  jP@  ej^@  ]”(j\@  jj@  jx@  j‡@  ej—@  ]”(j•@  j¥@  jµ@  jÅ@  ejØ@  ]”(jÖ@  jä@  jò@  jA  ejA  ]”(jA  jA  j'A  j3A  ejAA  ]”(j?A  jMA  j[A  jiA  ejyA  ]”(jwA  jƒA  jA  j›A  ej©A  ]”j§A  ajµA  ]”j³A  ajÃA  ]”jÁA  ajÏA  ]”(jÍA  jÙA  jåA  jñA  ejÿA  ]”(jýA  jB  jB  j'B  ej7B  ]”(j5B  jAB  jMB  jYB  ejgB  ]”jeB  ajuB  ]”jsB  aj„B  ]”j‚B  aj’B  ]”(jB  jB  jªB  j·B  jÄB  jÑB  jÞB  ejíB  ]”jëB  ajüB  ]”júB  ajC  ]”jC  aj"C  ]”j C  aj1C  ]”(j/C  jäö ejBC  ]”j@C  ajOC  ]”jMC  aj`C  ]”j^C  ajpC  ]”(jnC  j‚C  ej˜C  ]”j–C  aj«C  ]”(j©C  j»C  j.Ô ejÎC  ]”jÌC  ajàC  ]”jÞC  ajõC  ]”jóC  ajD  ]”jD  aj%D  ]”j#D  aj4D  ]”j2D  ajND  ]”jLD  aj]D  ]”j[D  ajmD  ]”jkD  aj|D  ]”jzD  ajŠD  ]”jˆD  aj˜D  ]”j–D  aj°D  ]”j®D  ajÂD  ]”(jÀD  jëD  ejE  ]”jE  aj'E  ]”j%E  aj9E  ]”j7E  ajJE  ]”jHE  ajZE  ]”jXE  ajkE  ]”jiE  aj{E  ]”jyE  aj‰E  ]”j‡E  ajšE  ]”j˜E  aj©E  ]”j§E  aj»E  ]”j¹E  ajÌE  ]”jÊE  ajÛE  ]”jÙE  ajëE  ]”jéE  ajüE  ]”júE  ajF  ]”jF  ajF  ]”jF  aj1F  ]”j/F  ajAF  ]”j?F  ajQF  ]”jOF  ajbF  ]”j`F  ajsF  ]”jqF  aj†F  ]”j„F  aj•F  ]”j“F  aj¥F  ]”j£F  ajµF  ]”j³F  ajÄF  ]”jÂF  ajÓF  ]”jÑF  ajâF  ]”jàF  ajñF  ]”jïF  ajG  ]”jÿF  ajG  ]”jG  ajG  ]”jG  aj-G  ]”j+G  aj=G  ]”j;G  ajKG  ]”jIG  ajZG  ]”jXG  ajjG  ]”jhG  aj~G  ]”j|G  ajG  ]”jŽG  ajžG  ]”jœG  aj®G  ]”j¬G  aj½G  ]”j»G  ajÌG  ]”jÊG  ajáG  ]”jßG  ajôG  ]”jòG  ajH  ]”jH  aj!H  ]”jH  aj.H  ]”j,H  aj;H  ]”j9H  ajHH  ]”jFH  aj\H  ]”jZH  ajuH  ]”(jsH  j‡H  jœH  j±H  je j{ jŸZ ejÇH  ]”jÅH  ajØH  ]”jÖH  ajçH  ]”jåH  ajýH  ]”(jûH  jI  jI  ej3I  ]”j1I  ajDI  ]”(jBI  jYI  jqI  j	­ jôõ jT% j j·Ã jäÆ jy¢ jÕ jŠ j¿§ ej‹I  ]”j‰I  ajšI  ]”j˜I  aj­I  ]”(j«I  j¿I  jÔI  j’„ jÇÖ ejëI  ]”jéI  ajJ  ]”(jÿI  jJ  j%J  j8J  j ¯ j£Ú jð‚ j¿§ j  j©' jÙ| ejMJ  ]”jKJ  aj`J  ]”j^J  ajqJ  ]”joJ  aj€J  ]”j~J  aj’J  ]”(jJ  jðÕ ej¡J  ]”jŸJ  ajµJ  ]”(j³J  j7Â ejÆJ  ]”(jÄJ  jÝJ  j{Š ej÷J  ]”jõJ  ajK  ]”jK  ajK  ]”jK  aj)K  ]”j'K  ajDK  ]”jBK  ajWK  ]”(jUK  jiK  ej€K  ]”j~K  aj—K  ]”(j•K  jH“ ej¼K  ]”jºK  ajÉK  ]”jÇK  ajÚK  ]”jØK  ajëK  ]”jéK  ajL  ]”(jL  j¸ú ejL  ]”jL  aj-L  ]”j+L  aj<L  ]”j:L  ajIL  ]”jGL  ajYL  ]”jWL  ajrL  ]”jpL  ajL  ]”jŽL  ajÄL  ]”jÂL  ajâL  ]”jàL  ajðL  ]”jîL  ajM  ]”jM  ajM  ]”jM  aj,M  ]”j*M  ajHM  ]”jFM  ajfM  ]”jdM  ajvM  ]”jtM  ajM  ]”jŽM  aj¡M  ]”jŸM  aj¾M  ]”(j¼M  jÍM  j4‡ ejàM  ]”jÞM  ajøM  ]”jöM  aj	N  ]”jN  ajN  ]”jN  aj&N  ]”j$N  aj7N  ]”j5N  ajFN  ]”(jDN  j?À ejXN  ]”(jVN  jzN  j/T ej N  ]”jžN  aj®N  ]”(j¬N  jè, ej½N  ]”(j»N  jÌN  jb¿ ejßN  ]”(jÝN  jíÇ ejîN  ]”jìN  ajýN  ]”jûN  ajO  ]”jO  aj$O  ]”j"O  aj4O  ]”j2O  ajCO  ]”jAO  ajRO  ]”jPO  aj`O  ]”j^O  ajnO  ]”jlO  aj„O  ]”j‚O  aj—O  ]”j•O  aj°O  ]”j®O  ajÑO  ]”jÏO  ajãO  ]”(jáO  jvÁ ejòO  ]”jðO  ajP  ]”j P  aj&P  ]”j$P  aj6P  ]”(j4P  jVP  j{P  j P  ejÇP  ]”jÅP  ajÙP  ]”j×P  ajçP  ]”jåP  aj÷P  ]”jõP  ajQ  ]”jQ  ajQ  ]”jQ  aj+Q  ]”j)Q  aj9Q  ]”j7Q  ajPQ  ]”jNQ  ajdQ  ]”jbQ  ajsQ  ]”jqQ  aj„Q  ]”j‚Q  aj’Q  ]”jQ  aj¡Q  ]”jŸQ  aj±Q  ]”j¯Q  ajÆQ  ]”jÄQ  ajÕQ  ]”jÓQ  ajéQ  ]”jçQ  ajR  ]”jR  aj8R  ]”(j6R  jmR  j¤R  ejÜR  ]”jÚR  ajòR  ]”jðR  ajS  ]”jS  ajS  ]”jS  aj/S  ]”j-S  aj]S  ]”j[S  ajlS  ]”jjS  aj{S  ]”jyS  aj‘S  ]”jS  aj¡S  ]”jŸS  aj³S  ]”j±S  ajÁS  ]”j¿S  ajÐS  ]”jÎS  au(jâS  ]”jàS  ajðS  ]”jîS  ajýS  ]”jûS  ajT  ]”jT  ajT  ]”jT  aj-T  ]”j+T  ajaT  ]”j_T  ajsT  ]”(jqT  jT  j‘T  j¡T  ej´T  ]”j²T  ajÅT  ]”jÃT  ajÔT  ]”jÒT  ajãT  ]”jáT  ajùT  ]”j÷T  ajU  ]”jU  aj"U  ]”j U  aj8U  ]”j6U  ajMU  ]”jKU  ajrU  ]”jpU  aj€U  ]”j~U  ajªU  ]”j¨U  aj¸U  ]”j¶U  ajÇU  ]”jÅU  ajÛU  ]”jÙU  ajèU  ]”jæU  ajûU  ]”jùU  ajV  ]”jV  aj V  ]”jV  aj-V  ]”j+V  aj=V  ]”(j;V  jIV  j×Ì jê8 ejYV  ]”jWV  ajoV  ]”jmV  aj…V  ]”(jƒV  j¢V  jÁV  jàV  j* ejW  ]”(jÿV  jup ejW  ]”(jW  jW  ej*W  ]”(j(W  j9W  ejLW  ]”(jJW  jZW  jjW  jzW  jŠW  j‚Ì j£& j½E jah j@õ j] j4Ž ejœW  ]”(jšW  j˜x j@ ej­W  ]”(j«W  jHÎ ej½W  ]”j»W  ajÍW  ]”jËW  ajÛW  ]”jÙW  ajêW  ]”jèW  ajûW  ]”jùW  aj	X  ]”(jX  jýÑ ejX  ]”(jX  j) ej%X  ]”(j#X  jõ2 ej3X  ]”j1X  ajBX  ]”(j@X  j›c ejUX  ]”jSX  ajeX  ]”jcX  ajsX  ]”jqX  aj‚X  ]”j€X  aj’X  ]”(jX  jê± jŸ ej X  ]”(jžX  j ej¯X  ]”j­X  aj½X  ]”j»X  ajËX  ]”jÉX  ajÛX  ]”(jÙX  jµ» ejéX  ]”jçX  ajøX  ]”jöX  aj
Y  ]”jY  ajY  ]”(jY  jÚb ej'Y  ]”j%Y  aj6Y  ]”(j4Y  j? jûc ejMY  ]”jKY  aj]Y  ]”j[Y  ajnY  ]”jlY  aj}Y  ]”j{Y  aj‹Y  ]”j‰Y  aj™Y  ]”j—Y  ajªY  ]”j¨Y  aj¸Y  ]”(j¶Y  jc ejÇY  ]”jÅY  ajÕY  ]”jÓY  ajæY  ]”jäY  ajöY  ]”jôY  ajZ  ]”jZ  ajZ  ]”jZ  aj,Z  ]”j*Z  aj;Z  ]”j9Z  ajIZ  ]”(jGZ  jUZ  ejeZ  ]”jcZ  ajsZ  ]”jqZ  ajZ  ]”jZ  ajZ  ]”jŽZ  ajZ  ]”j›Z  aj¯Z  ]”j­Z  ajÂZ  ]”jÀZ  ajÏZ  ]”jÍZ  ajßZ  ]”jÝZ  ajòZ  ]”jðZ  aj[  ]”jÿZ  aj[  ]”j[  aj)[  ]”j'[  ajB[  ]”j@[  ajP[  ]”jN[  ajf[  ]”jd[  ajƒ[  ]”j[  aj“[  ]”j‘[  aj°[  ]”j®[  ajÁ[  ]”j¿[  ajÐ[  ]”jÎ[  ajä[  ]”jâ[  ajö[  ]”jô[  aj\  ]”j \  aj\  ]”(j\  j.\  ejC\  ]”jA\  ajR\  ]”jP\  aj_\  ]”j]\  ajm\  ]”jk\  ajƒ\  ]”j\  aj•\  ]”j“\  aj¢\  ]”j \  aj®\  ]”(j¬\  jãÕ ej»\  ]”(j¹\  jÏ\  jå\  jû\  j]  ej)]  ]”j']  aj;]  ]”(j9]  jxç ejJ]  ]”jH]  ajZ]  ]”jX]  ajj]  ]”jh]  aj|]  ]”jz]  aj‹]  ]”j‰]  ajš]  ]”j˜]  aj©]  ]”j§]  aj¸]  ]”j¶]  ajÑ]  ]”jÏ]  ajà]  ]”jÞ]  ajñ]  ]”jï]  ajþ]  ]”jü]  aj^  ]”j^  aj'^  ]”j%^  aj:^  ]”j8^  ajO^  ]”jM^  aj_^  ]”j]^  ajl^  ]”jj^  aj~^  ]”j|^  aj^  ]”j^  aj«^  ]”j©^  ajº^  ]”j¸^  ajÉ^  ]”jÇ^  aj×^  ]”jÕ^  ajä^  ]”jâ^  ajô^  ]”jò^  aj_  ]”j_  aj_  ]”j_  aj_  ]”j_  aj0_  ]”j._  aj>_  ]”j<_  ajM_  ]”jK_  aj\_  ]”jZ_  ajl_  ]”jj_  aj~_  ]”j|_  aj‹_  ]”j‰_  ajž_  ]”jœ_  ajÅ_  ]”jÃ_  ajØ_  ]”jÖ_  ajé_  ]”(jç_  jü_  ej`  ]”j`  aj#`  ]”j!`  aj0`  ]”j.`  aj?`  ]”(j=`  jN`  ej``  ]”j^`  ajo`  ]”jm`  aj€`  ]”j~`  ajŽ`  ]”jŒ`  aj½`  ]”j»`  ajÎ`  ]”(jÌ`  jâ`  ejù`  ]”j÷`  aja  ]”(ja  ja  ej'a  ]”j%a  aj9a  ]”j7a  ajIa  ]”jGa  ajXa  ]”jVa  ajga  ]”jea  ajwa  ]”jua  aj‹a  ]”j‰a  ajša  ]”(j˜a  j²˜ ej¶a  ]”(j´a  j‡ä ejÏa  ]”(jÍa  jPA ejåa  ]”(jãa  jíâ ejõa  ]”(jóa  jÔû ejb  ]”jb  aj#b  ]”j!b  aj1b  ]”j/b  ajAb  ]”j?b  aj\b  ]”(jZb  j˜ù jHt ejqb  ]”job  aj„b  ]”(j‚b  j9– ej•b  ]”j“b  aj©b  ]”j§b  ajÄb  ]”jÂb  ajÛb  ]”jÙb  ajíb  ]”jëb  aj	c  ]”jc  ajc  ]”jc  aj1c  ]”j/c  ajJc  ]”jHc  aj[c  ]”jYc  ajhc  ]”jfc  aj}c  ]”j{c  ajŽc  ]”jŒc  aj¥c  ]”j£c  ajÆc  ]”jÄc  ajçc  ]”jåc  ajüc  ]”júc  aj
d  ]”jd  ajd  ]”jd  aj+d  ]”j)d  aj:d  ]”j8d  ajJd  ]”jHd  ajYd  ]”jWd  ajfd  ]”jdd  ajtd  ]”jrd  ajd  ]”j‹d  aj¢d  ]”j d  aj°d  ]”(j®d  jÁd  ejÖd  ]”jÔd  ajäd  ]”jâd  ajñd  ]”jïd  aje  ]”je  aje  ]”je  aj"e  ]”j e  aj9e  ]”j7e  ajIe  ]”jGe  ajYe  ]”(jWe  jRÔ j‘ j)Ê jà¿ jÎ ejge  ]”jee  ajwe  ]”jue  aj‡e  ]”j…e  aj”e  ]”(j’e  j8Z ej¤e  ]”j¢e  aj¼e  ]”jºe  ajïe  ]”jíe  ajýe  ]”jûe  ajf  ]”j	f  ajf  ]”jf  aj(f  ]”j&f  aj7f  ]”j5f  ajjf  ]”jhf  ajyf  ]”(jwf  jŸÙ ej†f  ]”j„f  aj•f  ]”j“f  aj©f  ]”(j§f  j<r ej·f  ]”jµf  ajÍf  ]”jËf  ajÞf  ]”jÜf  ajíf  ]”jëf  ajüf  ]”júf  ajg  ]”jg  ajg  ]”jg  aj)g  ]”(j'g  j:g  ejOg  ]”jMg  ajbg  ]”j`g  ajsg  ]”jqg  aj‚g  ]”j€g  aj•g  ]”j“g  aj¦g  ]”j¤g  aj½g  ]”j»g  ajÏg  ]”jÍg  ajÞg  ]”jÜg  aj h  ]”jþg  ajh  ]”jh  ajh  ]”jh  aj,h  ]”j*h  aj@h  ]”j>h  ajWh  ]”jUh  ajhh  ]”jfh  ajyh  ]”jwh  aj†h  ]”j„h  aj“h  ]”(j‘h  jvœ ej¢h  ]”j h  aj±h  ]”j¯h  ajËh  ]”jÉh  ajáh  ]”jßh  ajúh  ]”jøh  aji  ]”ji  aji  ]”ji  aj3i  ]”j1i  ajEi  ]”jCi  aj\i  ]”jZi  aj~i  ]”j|i  aj“i  ]”j‘i  aj°i  ]”j®i  ajÎi  ]”jÌi  ajÞi  ]”jÜi  ajíi  ]”jëi  ajþi  ]”jüi  aj
j  ]”jj  ajj  ]”jj  aj-j  ]”j+j  aj?j  ]”j=j  ajTj  ]”jRj  ajcj  ]”jaj  aj|j  ]”jzj  ajŽj  ]”jŒj  ajj  ]”j›j  aj¬j  ]”jªj  aj¼j  ]”jºj  ajØj  ]”jÖj  ajëj  ]”jéj  ajùj  ]”(j÷j  jk  ejk  ]”jk  ajEk  ]”jCk  ajUk  ]”jSk  ajfk  ]”jdk  aj©k  ]”j§k  ajÓk  ]”jÑk  ajûk  ]”jùk  ajl  ]”jl  aj&l  ]”j$l  aj3l  ]”j1l  ajBl  ]”(j@l  jQl  jbl  ejul  ]”(jsl  jˆl  ejŸl  ]”jl  aj°l  ]”j®l  ajÁl  ]”(j¿l  jåÏ ejÐl  ]”jÎl  ajÝl  ]”(jÛl  jèl  ej÷l  ]”jõl  ajm  ]”jm  ajm  ]”jm  aj8m  ]”j6m  ajSm  ]”jQm  ajwm  ]”jum  ajšm  ]”j˜m  ajªm  ]”j¨m  aj»m  ]”(j¹m  j­² ejÈm  ]”jÆm  ajàm  ]”jÞm  ajöm  ]”jôm  ajn  ]”jn  ajn  ]”jn  aj'n  ]”j%n  aj6n  ]”j4n  ajCn  ]”jAn  ajQn  ]”jOn  ajpn  ]”(jnn  j|n  ejŒn  ]”jŠn  aj›n  ]”j™n  aj¯n  ]”j­n  aj½n  ]”j»n  ajÍn  ]”jËn  ajàn  ]”jÞn  ajðn  ]”jîn  ajo  ]”jo  ajo  ]”jo  aj/o  ]”j-o  ajAo  ]”j?o  ajNo  ]”(jLo  jíÍ ej[o  ]”(jYo  j/² j¹O jVT ejjo  ]”jho  ajyo  ]”jwo  ajˆo  ]”j†o  aj˜o  ]”j–o  aj¬o  ]”jªo  aj¹o  ]”(j·o  j‰à j)Þ ejÈo  ]”jÆo  ajØo  ]”jÖo  ajôo  ]”(jòo  jp  jp  jÞÄ jÄ® ej!p  ]”jp  aj/p  ]”j-p  ajBp  ]”j@p  ajQp  ]”jOp  aj_p  ]”j]p  ajnp  ]”jlp  aj„p  ]”(j‚p  j‘p  ej¢p  ]”j p  ajµp  ]”j³p  ajÄp  ]”jÂp  ajÓp  ]”jÑp  ajêp  ]”jèp  aj÷p  ]”jõp  ajq  ]”jq  aj3q  ]”j1q  ajEq  ]”jCq  aj[q  ]”jYq  ajoq  ]”jmq  ajq  ]”jq  ajq  ]”j›q  aj»q  ]”j¹q  aj×q  ]”jÕq  ajîq  ]”jìq  ajýq  ]”jûq  ajr  ]”j	r  ajr  ]”jr  aj+r  ]”j)r  aj6r  ]”(j4r  jBr  jŒL j¶‘ jø½ jÛß jÓŽ j– jØ1 j64 j'˜ jÒ jó= jvm j! jÕV j0 jL j'/ ejRr  ]”jPr  ajfr  ]”jdr  ajwr  ]”jur  aj†r  ]”j„r  ajr  ]”(j›r  jh ej«r  ]”j©r  aj½r  ]”(j»r  jÑ8 ejÉr  ]”jÇr  aj×r  ]”jÕr  ajär  ]”jâr  ajñr  ]”jïr  ajÿr  ]”jýr  ajs  ]”js  ajs  ]”js  aj,s  ]”j*s  aj=s  ]”(j;s  jqÅ j~ ejLs  ]”jJs  ajds  ]”jbs  ajss  ]”(jqs  jA jg j•ú j¦Ò j•× ejƒs  ]”js  aj’s  ]”js  aj¢s  ]”j s  aj°s  ]”(j®s  jäþ ej¿s  ]”j½s  ajÍs  ]”jËs  ajÜs  ]”jÚs  ajës  ]”(jés  jMU ejús  ]”jøs  aj
t  ]”jt  ajt  ]”jt  aj(t  ]”j&t  aj8t  ]”j6t  ajEt  ]”jCt  ajTt  ]”jRt  ajat  ]”j_t  ajrt  ]”jpt  aj‚t  ]”j€t  aj’t  ]”jt  aj¡t  ]”jŸt  aj°t  ]”j®t  aj¾t  ]”j¼t  ajÌt  ]”jÊt  ajÜt  ]”jÚt  ajìt  ]”jêt  ajüt  ]”jút  aj
u  ]”ju  aju  ]”ju  aj1u  ]”(j/u  jé jO ejCu  ]”jAu  ajSu  ]”(jQu  jcu  j¯ j : j%l j´Þ jÆ! j*? j¿S ejxu  ]”(jvu  j3Ž ej‡u  ]”(j…u  jpì ej©u  ]”(j§u  j6Ä jã jç ejºu  ]”(j¸u  j¶è ejËu  ]”jÉu  ajÙu  ]”j×u  ajêu  ]”jèu  ajüu  ]”júu  ajv  ]”j
v  aj v  ]”jv  aj/v  ]”j-v  aj@v  ]”j>v  ajSv  ]”jQv  ajhv  ]”jfv  ajwv  ]”juv  aj‡v  ]”j…v  aj–v  ]”(j”v  j—Ù ej¥v  ]”j£v  aj³v  ]”j±v  ajÁv  ]”j¿v  ajÑv  ]”jÏv  ajâv  ]”(jàv  j`ú ej÷v  ]”jõv  ajw  ]”j
w  ajw  ]”jw  aj(w  ]”j&w  aj:w  ]”j8w  ajGw  ]”jEw  ajUw  ]”jSw  ajkw  ]”jiw  aj|w  ]”jzw  aj”w  ]”j’w  aj¤w  ]”j¢w  aj¶w  ]”j´w  ajÄw  ]”jÂw  ajÕw  ]”jÓw  ajçw  ]”jåw  ajöw  ]”(jôw  j„U ej/x  ]”j-x  aj=x  ]”j;x  ajKx  ]”jIx  aj[x  ]”jYx  ajkx  ]”jix  aj~x  ]”j|x  ajx  ]”j‹x  ajœx  ]”(jšx  j®x  jÂx  ejØx  ]”jÖx  ajñx  ]”jïx  ajþx  ]”jüx  ajy  ]”(j
y  jãH ejy  ]”jy  aj*y  ]”j(y  aj7y  ]”j5y  ajDy  ]”jBy  ajRy  ]”jPy  ajcy  ]”jay  ajoy  ]”jmy  aj…y  ]”jƒy  aj•y  ]”j“y  aj¥y  ]”j£y  ajµy  ]”(j³y  jg ejÎy  ]”jÌy  ajày  ]”jÞy  ajïy  ]”jíy  ajþy  ]”jüy  ajz  ]”jz  aj"z  ]”j z  aj1z  ]”j/z  aj>z  ]”j<z  ajPz  ]”jNz  ajgz  ]”(jez  •      j~z  ej—z  ]”(j•z  j
÷ ej®z  ]”j¬z  aj¼z  ]”jºz  ajÌz  ]”jÊz  ajÞz  ]”jÜz  ajñz  ]”jïz  ajÿz  ]”jýz  aj{  ]”j{  aj{  ]”j{  aj-{  ]”j+{  aj<{  ]”j:{  ajN{  ]”jL{  aj^{  ]”j\{  ajl{  ]”jj{  aj{{  ]”jy{  aj‰{  ]”j‡{  ajš{  ]”j˜{  aj©{  ]”j§{  ajº{  ]”j¸{  ajÉ{  ]”jÇ{  ajå{  ]”jã{  ajó{  ]”jñ{  aj|  ]”(j|  jë jÄÔ ej8|  ]”j6|  ajJ|  ]”jH|  aj\|  ]”jZ|  ajj|  ]”jh|  ajz|  ]”jx|  ajŽ|  ]”jŒ|  aj|  ]”j›|  aj±|  ]”j¯|  aj¿|  ]”j½|  ajÎ|  ]”jÌ|  ajÝ|  ]”(jÛ|  j}  j+}  jT}  j}}  j¨}  ejÕ}  ]”jÓ}  ajã}  ]”já}  ajö}  ]”jô}  aj~  ]”j~  aj~  ]”(j~  j*~  júä ej9~  ]”j7~  ajH~  ]”jF~  ajX~  ]”(jV~  jm~  ej„~  ]”j‚~  aj”~  ]”j’~  aj¢~  ]”j ~  aj¹~  ]”(j·~  jÈ~  ejÜ~  ]”jÚ~  ajê~  ]”jè~  ajø~  ]”jö~  aj  ]”(j  j  ej   ]”j  aj5  ]”j3  ajB  ]”j@  ajT  ]”(jR  je  ejx  ]”jv  aj‰  ]”j‡  aj–  ]”j”  aj¨  ]”j¦  aj½  ]”(j»  jÒ  ejë  ]”jé  ajü  ]”jú  aj€  ]”j€  aj.€  ]”(j,€  j\€  ejŽ€  ]”jŒ€  aj€  ]”j›€  aj°€  ]”j®€  aj¿€  ]”j½€  ajÎ€  ]”jÌ€  ajÝ€  ]”jÛ€  ají€  ]”jë€  ajÿ€  ]”jý€  aj  ]”j  aj  ]”j  aj/  ]”(j-  j2: j§F ejB  ]”j@  ajY  ]”(jW  j²ø ejk  ]”ji  aj”  ]”j’  aj¹  ]”j·  ajÃ  ]”jÁ  ajÍ  ]”jË  ajá  ]”jß  aj‚  ]”j	‚  aj‚  ]”j‚  aj)‚  ]”j'‚  aj;‚  ]”j9‚  ajJ‚  ]”jH‚  ajW‚  ]”jU‚  ajm‚  ]”(jk‚  j¬… ej|‚  ]”jz‚  aj‚  ]”j‚  ajª‚  ]”j¨‚  aj¾‚  ]”(j¼‚  jÒ‚  ejë‚  ]”jé‚  ajƒ  ]”jƒ  ajƒ  ]”jƒ  aj5ƒ  ]”j3ƒ  ajHƒ  ]”(jFƒ  jç ejUƒ  ]”(jSƒ  jaƒ  ejqƒ  ]”joƒ  ajƒ  ]”j}ƒ  aj‘ƒ  ]”(jƒ  jü× ej¢ƒ  ]”j ƒ  aj¶ƒ  ]”(j´ƒ  jÈƒ  jÜƒ  j¼I jy j¯7 j—^ j£e ejòƒ  ]”(jðƒ  j„  ej„  ]”j„  aj.„  ]”j,„  ajC„  ]”jA„  ajT„  ]”jR„  ajf„  ]”jd„  ajº„  ]”j¸„  ajÌ„  ]”jÊ„  ajÛ„  ]”jÙ„  ají„  ]”jë„  aj…  ]”(j…  jÈ% ej …  ]”j…  aj7…  ]”(j5…  jN…  jg…  ej‚…  ]”j€…  aj‘…  ]”j…  ajž…  ]”jœ…  aj²…  ]”j°…  ajÃ…  ]”jÁ…  ajÛ…  ]”jÙ…  ajé…  ]”jç…  ajý…  ]”jû…  aj†  ]”j†  aj"†  ]”j †  aj1†  ]”j/†  aj@†  ]”j>†  ajP†  ]”jN†  ajb†  ]”j`†  aj‡†  ]”j…†  aj™†  ]”j—†  aj¶†  ]”j´†  ajÅ†  ]”jÃ†  ajÖ†  ]”jÔ†  ajã†  ]”já†  ajñ†  ]”jï†  ajÿ†  ]”jý†  aj‡  ]”j‡  aj‡  ]”j‡  aj0‡  ]”j.‡  ajA‡  ]”(j?‡  j¨© ejN‡  ]”jL‡  aj[‡  ]”(jY‡  j¼Ç j ejj‡  ]”jh‡  aj{‡  ]”jy‡  aj‰‡  ]”j‡‡  ajš‡  ]”j˜‡  aj¨‡  ]”j¦‡  ajÀ‡  ]”(j¾‡  jÒ‡  ejæ‡  ]”jä‡  aj÷‡  ]”jõ‡  ajˆ  ]”jˆ  ajˆ  ]”jˆ  aj*ˆ  ]”j(ˆ  aj7ˆ  ]”(j5ˆ  jKˆ  ejcˆ  ]”jaˆ  ajwˆ  ]”juˆ  aj…ˆ  ]”jƒˆ  aj“ˆ  ]”j‘ˆ  aj¡ˆ  ]”jŸˆ  aj¯ˆ  ]”j­ˆ  ajÉˆ  ]”jÇˆ  ajßˆ  ]”jÝˆ  ajðˆ  ]”(jîˆ  jþˆ  ej‰  ]”j‰  aj(‰  ]”j&‰  ajB‰  ]”(j@‰  jV‰  ejn‰  ]”(jl‰  j~‰  j‰  ej¤‰  ]”j¢‰  aj³‰  ]”j±‰  ajÚ‰  ]”(jØ‰  jF¨ ejô‰  ]”jò‰  ajŠ  ]”j
Š  aj"Š  ]”j Š  aj8Š  ]”(j6Š  jGŠ  j\z jL ejZŠ  ]”(jXŠ  jgŠ  ejxŠ  ]”(jvŠ  j®ã j¥ç ej‰Š  ]”(j‡Š  j§° ejŸŠ  ]”(jŠ  j­Š  j¬n jßU jƒ± j€· ej¿Š  ]”j½Š  ajÏŠ  ]”jÍŠ  ajÞŠ  ]”jÜŠ  ajîŠ  ]”(jìŠ  jx™ jN jâÂ ej‹  ]”j‹  aj‹  ]”j‹  aj-‹  ]”j+‹  aj>‹  ]”j<‹  ajR‹  ]”jP‹  aje‹  ]”jc‹  aju‹  ]”js‹  aj†‹  ]”j„‹  aj–‹  ]”j”‹  aj¦‹  ]”j¤‹  aj¸‹  ]”j¶‹  ajÉ‹  ]”jÇ‹  ajÙ‹  ]”j×‹  ajê‹  ]”jè‹  ajû‹  ]”jù‹  ajŒ  ]”jŒ  ajŒ  ]”jŒ  aj/Œ  ]”j-Œ  aj?Œ  ]”j=Œ  ajPŒ  ]”jNŒ  ajaŒ  ]”j_Œ  ajqŒ  ]”joŒ  aj‚Œ  ]”j€Œ  aj”Œ  ]”(j’Œ  ji ej¤Œ  ]”j¢Œ  aj´Œ  ]”j²Œ  ajÈŒ  ]”jÆŒ  ajØŒ  ]”(jÖŒ  jêÒ jx  ejèŒ  ]”jæŒ  ajøŒ  ]”jöŒ  aj  ]”j  aj  ]”j  aj'  ]”(j%  j9 ej;  ]”j9  ajM  ]”jK  aj]  ]”j[  ajm  ]”jk  aj}  ]”j{  ajŽ  ]”(jŒ  j;: ejŸ  ]”j  aj°  ]”(j®  j¹· ejÄ  ]”(jÂ  jxÃ ejÔ  ]”(jÒ  j­Ø jQË ejç  ]”jå  aj÷  ]”jõ  ajŽ  ]”(jŽ  jfð ejŽ  ]”(jŽ  júM ej(Ž  ]”(j&Ž  j! ej9Ž  ]”(j7Ž  j¤ ejIŽ  ]”(jGŽ  j>Ž ejYŽ  ]”jWŽ  ajiŽ  ]”jgŽ  ajyŽ  ]”jwŽ  aj‰Ž  ]”j‡Ž  ajšŽ  ]”j˜Ž  aj«Ž  ]”(j©Ž  jÌÒ ej¹Ž  ]”j·Ž  ajÈŽ  ]”jÆŽ  ajÞŽ  ]”jÜŽ  ajòŽ  ]”jðŽ  aj  ]”j  aj  ]”j  aj(  ]”j&  aj7  ]”j5  ajQ  ]”jO  aj`  ]”j^  ajz  ]”jx  aj‰  ]”j‡  ajš  ]”j˜  aj¬  ]”jª  aj¼  ]”(jº  j™Y ejÓ  ]”jÑ  ajà  ]”jÞ  ajò  ]”jð  ajÿ  ]”jý  aj  ]”j  aj  ]”j  aj)  ]”j'  ajQ  ]”jO  aja  ]”j_  ajq  ]”jo  aj…  ]”jƒ  aj“  ]”(j‘  jxq ej£  ]”j¡  aj¹  ]”j·  ajá  ]”jß  ajõ  ]”(jó  j‘  j\ ej/‘  ]”(j-‘  j1Ú ej_‘  ]”(j]‘  jj‘  ejy‘  ]”jw‘  ajŠ‘  ]”jˆ‘  ajš‘  ]”(j˜‘  jF ej©‘  ]”j§‘  aj·‘  ]”jµ‘  ajÍ‘  ]”jË‘  ajß‘  ]”jÝ‘  ajð‘  ]”jî‘  aj ’  ]”jþ‘  aj’  ]”j’  aj’  ]”j’  aj.’  ]”(j,’  jD& ej>’  ]”j<’  ajN’  ]”jL’  aj_’  ]”j]’  ajo’  ]”jm’  ajŠ’  ]”jˆ’  ajŸ’  ]”j’  aj¯’  ]”j­’  ajÇ’  ]”jÅ’  ajÝ’  ]”jÛ’  ajì’  ]”jê’  ajú’  ]”jø’  aj“  ]”j
“  aj “  ]”j“  aj1“  ]”j/“  ajQ“  ]”jO“  aj_“  ]”j]“  ajq“  ]”jo“  ajŠ“  ]”jˆ“  aj©“  ]”j§“  ajº“  ]”j¸“  ajÇ“  ]”jÅ“  aj×“  ]”jÕ“  ajé“  ]”jç“  ajö“  ]”jô“  aj”  ]”j”  aj”  ]”j”  aj(”  ]”j&”  aj7”  ]”j5”  ajM”  ]”jK”  aj\”  ]”jZ”  ajm”  ]”jk”  aj’”  ]”j”  aj¤”  ]”j¢”  aj·”  ]”jµ”  ajÌ”  ]”jÊ”  ajÙ”  ]”j×”  ajô”  ]”jò”  aj•  ]”j•  aj•  ]”j•  aj$•  ]”j"•  aj2•  ]”j0•  aj@•  ]”j>•  ajO•  ]”jM•  aj^•  ]”j\•  ajq•  ]”jo•  aj~•  ]”j|•  ajŽ•  ]”jŒ•  aj•  ]”j›•  aj­•  ]”j«•  aj¿•  ]”j½•  ajÕ•  ]”(jÓ•  jjÖ ejé•  ]”jç•  ajû•  ]”jù•  aj
–  ]”j–  aj –  ]”j–  aj0–  ]”j.–  ajL–  ]”jJ–  aj^–  ]”j\–  ajn–  ]”jl–  aj–  ]”j–  aj“–  ]”j‘–  aj¦–  ]”j¤–  aj³–  ]”j±–  ajÃ–  ]”jÁ–  ajÖ–  ]”jÔ–  ajê–  ]”jè–  ajø–  ]”jö–  aj—  ]”j—  aj%—  ]”(j#—  j¦ ej4—  ]”j2—  ajA—  ]”j?—  ajR—  ]”jP—  aj`—  ]”j^—  ajo—  ]”(jm—  j„—  ej—  ]”j›—  aj®—  ]”j¬—  aj¼—  ]”jº—  ajÒ—  ]”jÐ—  ajß—  ]”jÝ—  ajì—  ]”jê—  ajý—  ]”jû—  aj˜  ]”j˜  aj"˜  ]”(j ˜  j1˜  j+ ejA˜  ]”j?˜  ajP˜  ]”(jN˜  j>n ejf˜  ]”jd˜  aj‰˜  ]”j‡˜  aj˜  ]”j›˜  aj¯˜  ]”j­˜  ajÆ˜  ]”(jÄ˜  j3† ejÙ˜  ]”j×˜  ajñ˜  ]”jï˜  ajÿ˜  ]”jý˜  aj™  ]”j™  aj ™  ]”j™  aj2™  ]”j0™  ajH™  ]”jF™  ajU™  ]”jS™  ajb™  ]”j`™  ajq™  ]”jo™  aj™  ]”(j}™  jNü ej‘™  ]”j™  aj©™  ]”(j§™  jÔ ej·™  ]”(jµ™  jÇ™  j  j{­ ejÚ™  ]”jØ™  ají™  ]”(jë™  j¼— ejü™  ]”jú™  ajš  ]”(jš  jšá j£	 ej'š  ]”j%š  aj9š  ]”(j7š  j•ÿ j—S ejGš  ]”jEš  ajUš  ]”jSš  ajjš  ]”jhš  aj|š  ]”jzš  aj‰š  ]”j‡š  ajžš  ]”jœš  aj°š  ]”j®š  ajÀš  ]”j¾š  ajÙš  ]”j×š  ajèš  ]”jæš  ajùš  ]”j÷š  aj›  ]”j›  aj-›  ]”j+›  ajD›  ]”jB›  aj^›  ]”j\›  ajz›  ]”jx›  aj‹›  ]”j‰›  aj››  ]”j™›  aj¬›  ]”(jª›  jÈ›  ejè›  ]”jæ›  aj
œ  ]”jœ  ajœ  ]”(jœ  j4œ  ejOœ  ]”jMœ  ajhœ  ]”jfœ  aj‚œ  ]”j€œ  aj”œ  ]”j’œ  aj£œ  ]”j¡œ  aj²œ  ]”j°œ  ajÁœ  ]”j¿œ  ajÔœ  ]”jÒœ  ajäœ  ]”jâœ  ajóœ  ]”jñœ  aj  ]”jÿœ  aj  ]”j  aj"  ]”(j   jqÛ jY4 ej5  ]”(j3  jû j_0 jÊó j°÷ jYQ jÈ? jH ejR  ]”jP  ajc  ]”ja  ajr  ]”jp  aj  ]”j  aj  ]”j  ajž  ]”jœ  aj®  ]”j¬  aj¿  ]”j½  ajÍ  ]”jË  ajÝ  ]”jÛ  ajì  ]”jê  ajý  ]”jû  ajž  ]”jž  ajž  ]”jž  aj.ž  ]”j,ž  ajGž  ]”jEž  ajTž  ]”jRž  ajež  ]”jcž  ajyž  ]”jwž  ajŠž  ]”jˆž  aj«ž  ]”j©ž  aj½ž  ]”j»ž  ajÒž  ]”(jÐž  jâž  ejöž  ]”jôž  ajŸ  ]”(jŸ  jŸ  ej"Ÿ  ]”j Ÿ  aj0Ÿ  ]”j.Ÿ  ajQŸ  ]”jOŸ  ajeŸ  ]”jcŸ  ajvŸ  ]”jtŸ  ajˆŸ  ]”j†Ÿ  aj™Ÿ  ]”j—Ÿ  aj©Ÿ  ]”(j§Ÿ  jØ’ ejµŸ  ]”j³Ÿ  ajÃŸ  ]”jÁŸ  ajÕŸ  ]”(jÓŸ  jì ejäŸ  ]”jâŸ  ajòŸ  ]”jðŸ  aj   ]”j   aj+   ]”j)   aj?   ]”(j=   jDE jŒQ ejP   ]”jN   aja   ]”j_   aju   ]”js   aj‚   ]”j€   aj­   ]”j«   ajÂ   ]”jÀ   ajÓ   ]”jÑ   ajá   ]”(jß   jí   jû   j‹È jF· ej¡  ]”j	¡  aj¡  ]”(j¡  j$¡  j>$ j¾p ej3¡  ]”(j1¡  jê ejC¡  ]”jA¡  ajP¡  ]”jN¡  ajh¡  ]”jf¡  aju¡  ]”(js¡  j:e juj jÉ“ ej†¡  ]”(j„¡  j•¹ ej•¡  ]”j“¡  aj§¡  ]”j¥¡  aj´¡  ]”j²¡  ajÆ¡  ]”jÄ¡  au(jÖ¡  ]”jÔ¡  ajä¡  ]”jâ¡  ajõ¡  ]”jó¡  aj¢  ]”j ¢  aj¢  ]”j¢  aj(¢  ]”(j&¢  j?¢  ejZ¢  ]”jX¢  ajn¢  ]”jl¢  aj~¢  ]”j|¢  ajŽ¢  ]”jŒ¢  aj¢¢  ]”j ¢  aj¸¢  ]”j¶¢  ajÇ¢  ]”jÅ¢  ajØ¢  ]”(jÖ¢  j^d ejë¢  ]”jé¢  ajù¢  ]”j÷¢  aj	£  ]”(j£  j›w ej£  ]”j£  aj(£  ]”j&£  aj=£  ]”j;£  ajU£  ]”jS£  ajy£  ]”jw£  ajŽ£  ]”(jŒ£  jš£  j¨£  ej¸£  ]”j¶£  ajÆ£  ]”jÄ£  ajÕ£  ]”jÓ£  ajê£  ]”(jè£  j+­ ejö£  ]”jô£  aj¤  ]”j¤  aj¤  ]”j¤  aj+¤  ]”(j)¤  j=¤  ejT¤  ]”jR¤  ajd¤  ]”jb¤  ajt¤  ]”(jr¤  j€¤  jŽ¤  ejž¤  ]”(jœ¤  jª¤  j¸¤  ejÈ¤  ]”jÆ¤  ajÙ¤  ]”j×¤  ajê¤  ]”jè¤  ajý¤  ]”jû¤  aj¥  ]”j	¥  aj¥  ]”j¥  aj,¥  ]”j*¥  aj:¥  ]”j8¥  ajM¥  ]”(jK¥  je¥  j¥  jM“ j2g j1D ejœ¥  ]”(jš¥  j¨¥  ej¸¥  ]”j¶¥  ajÉ¥  ]”jÇ¥  ajÛ¥  ]”jÙ¥  ajï¥  ]”jí¥  aj¦  ]”j¦  aj¦  ]”j¦  aj$¦  ]”j"¦  aj3¦  ]”j1¦  ajD¦  ]”jB¦  ajW¦  ]”jU¦  ajg¦  ]”(je¦  j~¦  j—¦  j±¦  jÊ¦  jã¦  ejÿ¦  ]”jý¦  aj§  ]”(j§  j§  ej/§  ]”j-§  aj=§  ]”j;§  ajX§  ]”jV§  ajf§  ]”jd§  aju§  ]”(js§  j†§  j™§  j¬§  jiø ejÀ§  ]”j¾§  ajÏ§  ]”jÍ§  ajá§  ]”(jß§  jø§  ej¨  ]”j¨  aj'¨  ]”j%¨  aj=¨  ]”j;¨  ajN¨  ]”jL¨  ajj¨  ]”jh¨  ajw¨  ]”ju¨  aj…¨  ]”(jƒ¨  j†{ ej’¨  ]”j¨  aj°¨  ]”(j®¨  j¼¨  ejÌ¨  ]”jÊ¨  ajÜ¨  ]”jÚ¨  ajì¨  ]”jê¨  ajù¨  ]”j÷¨  aj
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Û  ajÛ  ]”jÛ  aj3Û  ]”j1Û  ajCÛ  ]”jAÛ  ajVÛ  ]”jTÛ  ajjÛ  ]”jhÛ  aj…Û  ]”jƒÛ  ajšÛ  ]”j˜Û  ajºÛ  ]”j¸Û  aj×Û  ]”jÕÛ  ajìÛ  ]”jêÛ  ajþÛ  ]”jüÛ  ajÜ  ]”jÜ  aj'Ü  ]”j%Ü  aj;Ü  ]”j9Ü  ajOÜ  ]”jMÜ  ajgÜ  ]”jeÜ  ajyÜ  ]”jwÜ  aj‹Ü  ]”j‰Ü  aj™Ü  ]”j—Ü  aj«Ü  ]”j©Ü  aj»Ü  ]”j¹Ü  ajÍÜ  ]”jËÜ  ajíÜ  ]”jëÜ  ajÝ  ]”j Ý  ajÝ  ]”jÝ  aj*Ý  ]”j(Ý  aj>Ý  ]”j<Ý  ajSÝ  ]”jQÝ  ajcÝ  ]”jaÝ  ajuÝ  ]”jsÝ  ajˆÝ  ]”j†Ý  aj—Ý  ]”j•Ý  aj¨Ý  ]”j¦Ý  ajÂÝ  ]”jÀÝ  ajÝÝ  ]”jÛÝ  ajóÝ  ]”jñÝ  ajÞ  ]”jÞ  ajÞ  ]”jÞ  aj Þ  ]”jÞ  aj2Þ  ]”j0Þ  ajBÞ  ]”j@Þ  ajSÞ  ]”jQÞ  ajcÞ  ]”jaÞ  ajzÞ  ]”jxÞ  ajŠÞ  ]”jˆÞ  aj›Þ  ]”j™Þ  aj­Þ  ]”j«Þ  ajÅÞ  ]”jÃÞ  ajÖÞ  ]”jÔÞ  ajëÞ  ]”jéÞ  ajß  ]”j	ß  ajß  ]”jß  aj/ß  ]”j-ß  aj@ß  ]”j>ß  ajPß  ]”jNß  ajbß  ]”j`ß  ajwß  ]”juß  ajŒß  ]”jŠß  ajŸß  ]”jß  aj´ß  ]”j²ß  ajÈß  ]”jÆß  ajÞß  ]”jÜß  ajíß  ]”jëß  ajà  ]”jÿß  ajà  ]”jà  aj0à  ]”j.à  aj=à  ]”j;à  ajRà  ]”jPà  ajeà  ]”jcà  ajvà  ]”jtà  aj‰à  ]”j‡à  ajšà  ]”j˜à  aj©à  ]”j§à  ajºà  ]”j¸à  ajÊà  ]”jÈà  ajáà  ]”jßà  ajïà  ]”jíà  ajá  ]”já  ajá  ]”já  aj,á  ]”j*á  aj=á  ]”j;á  ajTá  ]”jRá  ajeá  ]”jcá  ajá  ]”já  aj”á  ]”(j’á  j‹¸ ej¡á  ]”jŸá  aj³á  ]”j±á  ajÀá  ]”(j¾á  jÜá  júá  jâ  ej8â  ]”(j6â  jGâ  j;ö ejZâ  ]”(jXâ  jRK ejhâ  ]”jfâ  ajuâ  ]”jsâ  aj•â  ]”j“â  aj¢â  ]”j â  aj¯â  ]”j­â  ajÅâ  ]”(jÃâ  j'š ejÖâ  ]”jÔâ  ajåâ  ]”jãâ  ajã  ]”j ã  ajã  ]”jã  aj#ã  ]”j!ã  aj6ã  ]”j4ã  ajGã  ]”jEã  ajXã  ]”jVã  ajhã  ]”jfã  ajzã  ]”jxã  aj‡ã  ]”j…ã  aj™ã  ]”j—ã  aj²ã  ]”j°ã  ajÁã  ]”j¿ã  ajßã  ]”jÝã  ajîã  ]”jìã  ajä  ]”jÿã  ajä  ]”jä  aj'ä  ]”(j%ä  jœÞ j¯Ó ej4ä  ]”j2ä  ajEä  ]”jCä  ajUä  ]”jSä  ajuä  ]”jsä  aj„ä  ]”j‚ä  aj¤ä  ]”j¢ä  aj¶ä  ]”j´ä  ajÈä  ]”(jÆä  jå4 ejÜä  ]”jÚä  ajíä  ]”jëä  ajüä  ]”júä  ajå  ]”jå  aj$å  ]”j"å  aj5å  ]”j3å  ajKå  ]”(jIå  jVå  ejeå  ]”jcå  ajrå  ]”jpå  aj„å  ]”j‚å  ajŸå  ]”jå  aj¯å  ]”j­å  aj¼å  ]”(jºå  jó± jÈÓ j¾ô j# j?® js j6 j"? j ƒ j­æ jòæ j  j·5 j;ü j8¨ jšØ ejÉå  ]”(jÇå  j´ ejêå  ]”jèå  ajþå  ]”(jüå  j¶\ ejæ  ]”jæ  aj%æ  ]”j#æ  aj5æ  ]”j3æ  ajCæ  ]”jAæ  aj_æ  ]”j]æ  ajpæ  ]”jnæ  aj„æ  ]”(j‚æ  j’æ  j‡ ej¤æ  ]”(j¢æ  j.; j÷ ej´æ  ]”j²æ  ajÏæ  ]”jÍæ  ajßæ  ]”jÝæ  ajïæ  ]”jíæ  ajç  ]”(jç  jç  ej.ç  ]”j,ç  ajFç  ]”jDç  ajXç  ]”jVç  ajfç  ]”jdç  ajuç  ]”jsç  aj…ç  ]”jƒç  aj’ç  ]”(jç  jí  jÛï ej§ç  ]”j¥ç  ajÅç  ]”(jÃç  jÎ ejÖç  ]”jÔç  ajåç  ]”jãç  ajè  ]”jÿç  ajè  ]”jè  aj.è  ]”(j,è  j ejAè  ]”j?è  ajOè  ]”jMè  ajqè  ]”joè  ajŽè  ]”jŒè  ajœè  ]”(jšè  j¯è  ejÆè  ]”jÄè  ajÔè  ]”(jÒè  jâ j± ejãè  ]”jáè  ajñè  ]”jïè  ajé  ]”jé  ajé  ]”jé  aj$é  ]”j"é  aj2é  ]”j0é  ajBé  ]”j@é  ajRé  ]”(jPé  jéï ejbé  ]”j`é  ajsé  ]”jqé  aj…é  ]”jƒé  aj”é  ]”(j’é  j¡é  ej²é  ]”j°é  ajÅé  ]”jÃé  ajÖé  ]”jÔé  ajãé  ]”jáé  ajóé  ]”jñé  ajê  ]”jê  ajê  ]”jê  aj ê  ]”jê  aj.ê  ]”j,ê  aj@ê  ]”j>ê  ajPê  ]”jNê  ajdê  ]”jbê  ajuê  ]”jsê  aj†ê  ]”j„ê  ajšê  ]”j˜ê  aj§ê  ]”j¥ê  aj´ê  ]”j²ê  ajÑê  ]”jÏê  ajèê  ]”jæê  ajùê  ]”j÷ê  aj	ë  ]”jë  aj&ë  ]”(j$ë  j6ë  ejJë  ]”jHë  ajcë  ]”jaë  ajë  ]”jë  aj’ë  ]”jë  aj¢ë  ]”j ë  aj½ë  ]”j»ë  ajÌë  ]”jÊë  ajßë  ]”jÝë  ajõë  ]”jóë  ajì  ]”jì  aj.ì  ]”j,ì  ajAì  ]”j?ì  ajOì  ]”jMì  ajbì  ]”j`ì  ajvì  ]”jtì  ajì  ]”jŽì  aj¡ì  ]”jŸì  aj·ì  ]”jµì  ajÇì  ]”jÅì  ajÜì  ]”jÚì  ajéì  ]”jçì  ají  ]”j í  aj"í  ]”j í  aj@í  ]”j>í  ajUí  ]”jSí  ajgí  ]”jeí  ajxí  ]”jví  ajˆí  ]”j†í  aj¢í  ]”j í  aj²í  ]”j°í  ajÄí  ]”jÂí  ajàí  ]”jÞí  ajîí  ]”(jìí  j{ ej
î  ]”jî  aj%î  ]”j#î  aj<î  ]”j:î  ajWî  ]”jUî  ajdî  ]”(jbî  jrî  ejƒî  ]”(jî  j  ej–î  ]”j”î  aj¥î  ]”j£î  aj·î  ]”jµî  ajØî  ]”jÖî  ajëî  ]”(jéî  jï  ej%ï  ]”j#ï  ajTï  ]”(jRï  jbï  ejtï  ]”(jrï  j”ï  ej¸ï  ]”j¶ï  ajÈï  ]”jÆï  ajØï  ]”jÖï  ajïï  ]”jíï  ajð  ]”j ð  ajð  ]”jð  aj'ð  ]”j%ð  aj;ð  ]”(j9ð  jIð  j^ð  ejuð  ]”jsð  aj“ð  ]”j‘ð  aj¨ð  ]”j¦ð  ajºð  ]”j¸ð  au(jÈð  ]”jÆð  ajîð  ]”jìð  ajüð  ]”júð  ajñ  ]”jñ  ajñ  ]”jñ  aj0ñ  ]”j.ñ  aj]ñ  ]”j[ñ  ajpñ  ]”jnñ  aj€ñ  ]”j~ñ  aj”ñ  ]”j’ñ  aj©ñ  ]”j§ñ  ajºñ  ]”(j¸ñ  j<o jPó ejÒñ  ]”(jÐñ  jìñ  jò  ej&ò  ]”j$ò  aj7ò  ]”j5ò  ajGò  ]”(jEò  j[ò  ejtò  ]”jrò  aj“ò  ]”j‘ò  aj£ò  ]”j¡ò  aj¿ò  ]”j½ò  ajÏò  ]”jÍò  ajßò  ]”(jÝò  j<; ejóò  ]”jñò  ajó  ]”jó  ajó  ]”jó  aj*ó  ]”j(ó  aj:ó  ]”j8ó  ajKó  ]”(jIó  j\þ ej\ó  ]”(jZó  j¾P ejló  ]”jjó  ajó  ]”j}ó  ajŽó  ]”jŒó  aj¡ó  ]”jŸó  aj´ó  ]”j²ó  ajÃó  ]”jÁó  ajÓó  ]”jÑó  ajåó  ]”(jãó  jóó  jô  jL jÊO ejô  ]”(jô  j\} ej(ô  ]”j&ô  aj9ô  ]”(j7ô  j¾f ejKô  ]”jIô  aj[ô  ]”jYô  ajkô  ]”jiô  aj{ô  ]”jyô  aj‹ô  ]”(j‰ô  jto ejœô  ]”jšô  aj®ô  ]”j¬ô  aj¿ô  ]”j½ô  ajÒô  ]”jÐô  ajäô  ]”jâô  ajöô  ]”jôô  ajõ  ]”jõ  ajõ  ]”jõ  aj(õ  ]”j&õ  aj7õ  ]”j5õ  ajGõ  ]”jEõ  ajWõ  ]”jUõ  ajgõ  ]”jeõ  ajzõ  ]”jxõ  aj‹õ  ]”j‰õ  ajœõ  ]”jšõ  aj«õ  ]”j©õ  aj½õ  ]”j»õ  ajÍõ  ]”jËõ  ajßõ  ]”jÝõ  ajðõ  ]”jîõ  ajö  ]”jÿõ  ajö  ]”jö  aj$ö  ]”j"ö  aj3ö  ]”j1ö  ajAö  ]”(j?ö  jMö  ej]ö  ]”(j[ö  jûP jG ejnö  ]”(jlö  jyö  j/å jŠ jHË ejˆö  ]”(j†ö  j7/ ej•ö  ]”j“ö  ajªö  ]”j¨ö  aj·ö  ]”(jµö  jÈö  ejÝö  ]”jÛö  ajóö  ]”jñö  aj÷  ]”j÷  aj÷  ]”j÷  aj"÷  ]”j ÷  aj3÷  ]”(j1÷  jW² j"Ö ejH÷  ]”jF÷  ajX÷  ]”jV÷  aji÷  ]”jg÷  ajz÷  ]”jx÷  aj“÷  ]”j‘÷  aj´÷  ]”j²÷  ajÆ÷  ]”jÄ÷  ajÜ÷  ]”jÚ÷  ajì÷  ]”jê÷  ajø  ]”jÿ÷  ajø  ]”jø  aj-ø  ]”j+ø  ajCø  ]”jAø  ajUø  ]”jSø  ajø  ]”jø  aj—ø  ]”j•ø  aj©ø  ]”(j§ø  j¶ø  ejÇø  ]”jÅø  ajàø  ]”jÞø  ajíø  ]”(jëø  jù  ejù  ]”jù  aj0ù  ]”j.ù  ajAù  ]”j?ù  ajOù  ]”jMù  ajeù  ]”jcù  ajrù  ]”jpù  aj€ù  ]”j~ù  aj’ù  ]”jù  aj¤ù  ]”j¢ù  aj¸ù  ]”j¶ù  ajÇù  ]”jÅù  ajÕù  ]”jÓù  ajæù  ]”jäù  ajüù  ]”júù  aj
ú  ]”(jú  jÍ jÏœ ej#ú  ]”j!ú  aj6ú  ]”j4ú  ajFú  ]”jDú  ajVú  ]”jTú  ajcú  ]”jaú  ajuú  ]”jsú  ajŠú  ]”jˆú  aj¥ú  ]”j£ú  aj¸ú  ]”j¶ú  ajÆú  ]”(jÄú  j×ú  jÄw ji% jzÜ j`" ejìú  ]”jêú  ajûú  ]”(jùú  j*” ejû  ]”(jû  jû  jzÑ jyà ej"û  ]”j û  aj/û  ]”j-û  ajOû  ]”jMû  aj`û  ]”j^û  ajoû  ]”jmû  aj|û  ]”jzû  ajšû  ]”j˜û  aj§û  ]”j¥û  aj·û  ]”jµû  ajÊû  ]”jÈû  ajÞû  ]”jÜû  ajîû  ]”jìû  ajü  ]”jü  ajü  ]”jü  aj:ü  ]”j8ü  ajIü  ]”jGü  ajYü  ]”jWü  ajkü  ]”jiü  aj}ü  ]”(j{ü  jËø ejü  ]”j‹ü  ajžü  ]”jœü  aj«ü  ]”(j©ü  j/Ò ejÁü  ]”j¿ü  aj×ü  ]”jÕü  ajæü  ]”jäü  ajôü  ]”jòü  ajý  ]”jý  ajý  ]”jý  aj"ý  ]”j ý  aj0ý  ]”j.ý  aj>ý  ]”j<ý  ajLý  ]”jJý  aj[ý  ]”jYý  ajiý  ]”jgý  ajwý  ]”juý  aj†ý  ]”(j„ý  jï ej¡ý  ]”jŸý  aj³ý  ]”j±ý  ajÂý  ]”jÀý  ajàý  ]”jÞý  ajóý  ]”(jñý  j­é ejþ  ]”jþ  ajþ  ]”jþ  aj2þ  ]”j0þ  ajAþ  ]”j?þ  ajPþ  ]”(jNþ  j]þ  ejnþ  ]”(jlþ  j{þ  jŠþ  j™þ  j¨þ  j·þ  jÆþ  jÕþ  jäþ  jóþ  jÿ  jÿ  j ÿ  j/ÿ  j>ÿ  jMÿ  j\ÿ  jkÿ  jzÿ  j‰ÿ  j˜ÿ  ej©ÿ  ]”j§ÿ  aj¶ÿ  ]”j´ÿ  ajÃÿ  ]”(jÁÿ  jÓ ejÓÿ  ]”jÑÿ  ajèÿ  ]”jæÿ  ajüÿ  ]”júÿ  aj  ]”j  aj  ]”(j  j4  jO  ejk  ]”ji  ajy  ]”jw  ajˆ  ]”j†  aj˜  ]”j–  aj§  ]”j¥  ajµ  ]”j³  ajÃ  ]”jÁ  ajØ  ]”jÖ  ajæ  ]”jä  ajó  ]”jñ  aj ]”jÿ  aj ]”j aj" ]”j  aj3 ]”j1 ajI ]”jG ajZ ]”jX aji ]”jg ajz ]”jx aj’ ]”j aj£ ]”j¡ aj± ]”j¯ ajÁ ]”(j¿ jà„ ejÎ ]”(jÌ jºÏ j8— ejÛ ]”jÙ ajë ]”jé aj ]”(j
 j9= j®‚ ej ]”j aj$ ]”j" aj3 ]”j1 ajS ]”jQ ajf ]”jd aju ]”js aj• ]”(j“ j¡ j¯ j½ jË ejÛ ]”jÙ ají ]”jë aj ]”j  aj ]”j aj* ]”j( aj= ]”j; ajM ]”jK aj] ]”j[ ajm ]”jk aj{ ]”jy aj‰ ]”j‡ aj™ ]”j— aj° ]”j® aj½ ]”j» ajÊ ]”jÈ ajÚ ]”jØ ajê ]”jè aj ]”j aj ]”j aj/ ]”j- aj? ]”j= ajQ ]”jO aj_ ]”j] ajs ]”(jq j~o ejŒ ]”jŠ ajš ]”j˜ aj¨ ]”j¦ aj¶ ]”j´ ajÆ ]”jÄ ajÓ ]”jÑ ajä ]”(jâ jÕ7 ejò ]”jð aj ]”j aj ]”j aj ]”j aj, ]”j* ajA ]”j? ajO ]”(jM j[ ji jw j… j“ j¡ ej± ]”(j¯ j¾ jÍ ejÞ ]”jÜ aj  ]”jþ aj ]”j aj  ]”j aj. ]”j, aj= ]”j; ajM ]”jK aj] ]”j[ ajo ]”jm aj€ ]”j~ aj ]”j ajœ ]”jš aj­ ]”j« ajº ]”j¸ ajÌ ]”jÊ ajÚ ]”jØ ajé ]”jç ajö ]”jô aj	 ]”j aj ]”j aj. ]”(j, jn ejA ]”j? ajY ]”jW aji ]”(jg jt j[¹ j"k jc j6. jˆ2 jˆ ej„ ]”j‚ ajž ]”(jœ j¤ ej® ]”j¬ aj¼ ]”(jº jvJ ejË ]”jÉ ajà ]”jÞ ajï ]”(jí jÿ ej ]”j aj% ]”(j# jV” ej3 ]”j1 ajA ]”j? ajS ]”jQ ajb ]”j` ajt ]”jr aj… ]”jƒ aj‘ ]”j ajž ]”jœ aj« ]”j© aj¿ ]”j½ ajÒ ]”jÐ ajã ]”já ajü ]”jú aj	 ]”j	 aj7	 ]”j5	 ajI	 ]”(jG	 jU	 eje	 ]”jc	 aj	 ]”j	 aj›	 ]”j™	 ajÅ	 ]”jÃ	 ajÕ	 ]”jÓ	 ajê	 ]”jè	 ajø	 ]”(jö	 j
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2 ]”(j2 j2 jS_ ej22 ]”j02 ajF2 ]”jD2 ajV2 ]”jT2 ajj2 ]”jh2 ajx2 ]”jv2 aj‡2 ]”j…2 aj–2 ]”j”2 aj§2 ]”j¥2 aj¶2 ]”j´2 ajÆ2 ]”jÄ2 ajÔ2 ]”(jÒ2 jâ2 jò2 ji; ej3 ]”j3 aj3 ]”j3 aj'3 ]”j%3 aj63 ]”(j43 jB3 jÿ jæô ejR3 ]”(jP3 jþ› ej_3 ]”j]3 ajy3 ]”jw3 aj†3 ]”(j„3 jö‘ ej“3 ]”j‘3 aj¿3 ]”j½3 ajÌ3 ]”jÊ3 ajÚ3 ]”jØ3 ajè3 ]”jæ3 ajù3 ]”(j÷3 j±K j¿\ ej4 ]”j4 aj4 ]”(j4 j+4 j:4 jI4 jX4 jg4 jv4 j…4 j”4 ej¥4 ]”j£4 aj·4 ]”jµ4 ajÅ4 ]”jÃ4 ajÖ4 ]”jÔ4 ajã4 ]”já4 ajó4 ]”jñ4 aj5 ]”j
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e j»3 ej¾ã ]”(j¼ã jÎã ejâã ]”jàã ajóã ]”jñã ajä ]”jä ajä ]”jä aj*ä ]”j(ä aj;ä ]”j9ä ajMä ]”jKä ajZä ]”jXä ajgä ]”jeä aj}ä ]”j{ä aj’ä ]”jä aj«ä ]”j©ä aj¸ä ]”j¶ä ajÍä ]”jËä ajÜä ]”jÚä ajêä ]”jèä ajå ]”jå aj?å ]”j=å ajLå ]”jJå ajZå ]”jXå ajgå ]”(jeå j¼ jZ jÄÁ ejtå ]”jrå ajå ]”(jå jå ejå ]”j›å ajªå ]”j¨å aj·å ]”jµå ajÊå ]”(jÈå jÎ ejÚå ]”jØå ajëå ]”jéå ajúå ]”jøå aj	æ ]”jæ ajæ ]”jæ au(j*æ ]”j(æ aj8æ ]”j6æ ajGæ ]”jEæ ajTæ ]”jRæ ajbæ ]”j`æ ajoæ ]”jmæ ajæ ]”j}æ ajæ ]”jæ aj æ ]”jžæ aj°æ ]”j®æ ajÄæ ]”(jÂæ jÏæ ejÞæ ]”jÜæ ajõæ ]”jóæ ajç ]”jç ajç ]”jç aj ç ]”(jç j0ç j`a j:r ejBç ]”j@ç ajPç ]”jNç ajfç ]”jdç ajç ]”jç ajç ]”jŽç ajŸç ]”jç aj­ç ]”j«ç ajËç ]”jÉç ajÚç ]”jØç ajéç ]”jçç ajè ]”jÿç ajè ]”jè aj è ]”jè aj0è ]”j.è aj@è ]”j>è ajQè ]”jOè aj`è ]”j^è ajmè ]”jkè ajè ]”jè ajè ]”jŽè aj¡è ]”jŸè aj±è ]”j¯è ajÅè ]”jÃè aj×è ]”(jÕè jèè jûè jé je… j† jÔ jnð jç juO jœ j72 ej#é ]”(j!é j7é ejOé ]”jMé aj_é ]”(j]é jW) ejné ]”(jlé jz j+/ ej|é ]”(jzé jŸá ej‹é ]”j‰é ajé ]”j›é ajªé ]”j¨é ajÅé ]”jÃé ajÖé ]”(jÔé jÌ ejâé ]”jàé ajñé ]”jïé ajê ]”(jê jœq ejê ]”jê aj4ê ]”j2ê ajBê ]”(j@ê joº ejNê ]”jLê aj^ê ]”j\ê ajkê ]”jiê aj}ê ]”j{ê aj™ê ]”j—ê aj§ê ]”j¥ê ajºê ]”j¸ê ajÈê ]”jÆê ajÚê ]”jØê ajèê ]”(jæê jøê jë jë j_ jù™ j²o j¸w j‚Í ej*ë ]”j(ë aj8ë ]”j6ë ajGë ]”jEë ajVë ]”jTë ajkë ]”(jië j% j£Ÿ ej}ë ]”j{ë ajŒë ]”(jŠë j^V jä’ j·{ ej¤ë ]”j¢ë aj³ë ]”j±ë ajÆë ]”jÄë ajÒë ]”jÐë ajáë ]”jßë ajøë ]”jöë aj
ì ]”jì ajì ]”(jì jsP j´¢ ej%ì ]”j#ì aj4ì ]”j2ì ajDì ]”jBì ajRì ]”jPì ajaì ]”j_ì ajqì ]”joì ajì ]”(jì jb‰ ejì ]”jì aj¢ì ]”(j ì j°ì j³‡ ejÂì ]”jÀì ajÒì ]”jÐì ajæì ]”jäì ajôì ]”jòì ají ]”jí ají ]”jí aj,í ]”j*í aj<í ]”j:í ajJí ]”(jHí j™ jê ejVí ]”jTí ajjí ]”jhí ajyí ]”jwí ajŠí ]”(jˆí j™í ej¬í ]”jªí ajÁí ]”j¿í ajÓí ]”jÑí ajâí ]”jàí ajòí ]”jðí ajî ]”jî ajî ]”jî aj'î ]”(j%î j5î ejGî ]”jEî ajXî ]”(jVî jvî ej˜î ]”j–î aj¦î ]”(j¤î jµî ejÈî ]”jÆî ajØî ]”jÖî ajëî ]”jéî ajüî ]”júî ajï ]”jï aj!ï ]”jï aj3ï ]”j1ï aj@ï ]”j>ï ajMï ]”jKï ajfï ]”jdï ajsï ]”jqï aj…ï ]”jƒï aj”ï ]”j’ï aj¢ï ]”j ï aj±ï ]”(j¯ï jïñ ej¿ï ]”(j½ï jÌï ejÝï ]”jÛï ajêï ]”jèï aj÷ï ]”jõï ajð ]”jð ajð ]”jð ajð ]”jð aj+ð ]”j)ð aj8ð ]”j6ð ajEð ]”jCð ajRð ]”jPð aj_ð ]”j]ð ajlð ]”jjð ajyð ]”jwð aj†ð ]”j„ð aj“ð ]”j‘ð aj¯ð ]”j­ð ajÂð ]”(jÀð jL ejÑð ]”jÏð ajãð ]”jáð ajõð ]”(jóð jñ j jÀö jg+ ejñ ]”jñ aj%ñ ]”j#ñ aj3ñ ]”(j1ñ jlƒ jœB ejDñ ]”jBñ ajYñ ]”jWñ ajfñ ]”jdñ ajyñ ]”jwñ ajþñ ]”jüñ ajò ]”jò aj+ò ]”j)ò aj=ò ]”j;ò ajJò ]”jHò ajhò ]”jfò aj}ò ]”j{ò ajŠò ]”(jˆò jŸò ej¹ò ]”j·ò ajÎò ]”jÌò ajêò ]”(jèò j~} ejýò ]”jûò ajó ]”j
ó ajó ]”jó aj)ó ]”j'ó aj;ó ]”j9ó ajIó ]”jGó aj[ó ]”jYó ajjó ]”jhó ajzó ]”jxó ajó ]”j‹ó ajŸó ]”jó aj®ó ]”j¬ó aj½ó ]”j»ó ajÌó ]”jÊó ajáó ]”jßó aj÷ó ]”jõó ajô ]”jô ajô ]”jô aj)ô ]”j'ô aj9ô ]”(j7ô jØŠ ejHô ]”jFô ajfô ]”jdô aj{ô ]”jyô aj‰ô ]”j‡ô ajžô ]”jœô aj¬ô ]”jªô ajÁô ]”j¿ô ajáô ]”jßô ajñô ]”jïô ajõ ]”jõ ajõ ]”jõ aj õ ]”(jõ jZu ej.õ ]”j,õ ajRõ ]”jPõ aj`õ ]”j^õ ajtõ ]”jrõ aj“õ ]”j‘õ aj®õ ]”j¬õ aj¿õ ]”j½õ ajÍõ ]”jËõ ajÛõ ]”jÙõ ajïõ ]”(jíõ jýõ jö jö ej/ö ]”j-ö ajBö ]”j@ö ajWö ]”jUö ajpö ]”jnö aj€ö ]”j~ö ajö ]”jŽö aj¨ö ]”j¦ö ajÂö ]”jÀö ajÞö ]”jÜö ajîö ]”jìö ajÿö ]”jýö aj÷ ]”j÷ aj)÷ ]”j'÷ aj8÷ ]”j6÷ ajQ÷ ]”(jO÷ j ² j½Û ej`÷ ]”j^÷ aj÷ ]”(j}÷ jŽ÷ jŸ÷ ej²÷ ]”j°÷ ajÄ÷ ]”jÂ÷ ajÔ÷ ]”jÒ÷ ajá÷ ]”jß÷ ajú÷ ]”jø÷ ajø ]”jø ajø ]”jø aj+ø ]”j)ø aj9ø ]”j7ø ajKø ]”jIø aj`ø ]”j^ø ajnø ]”jlø aj{ø ]”jyø ajžø ]”jœø aj¯ø ]”j­ø aj¿ø ]”j½ø ajÝø ]”jÛø ajñø ]”jïø aj	ù ]”jù aj"ù ]”(j ù j¯ jK j‡Ê ej0ù ]”j.ù ajBù ]”j@ù ajVù ]”jTù ajwù ]”(juù j˜ù ej½ù ]”j»ù ajÍù ]”jËù ajàù ]”jÞù ajðù ]”jîù ajú ]”(j ú jú ej:ú ]”j8ú ajIú ]”(jGú j¡À ejYú ]”(jWú jfú ej|ú ]”jzú aj•ú ]”(j“ú j¦ú jÀÎ ej»ú ]”j¹ú ajÖú ]”jÔú ajëú ]”jéú ajþú ]”(jüú jû ej û ]”jû aj6û ]”j4û ajCû ]”jAû ajQû ]”jOû aj^û ]”j\û ajnû ]”jlû aj{û ]”jyû ajû ]”(j‹û jub ejšû ]”j˜û aj¶û ]”(j´û jÃû jÑû ejâû ]”jàû ajóû ]”jñû ajü ]”jü aj(ü ]”(j&ü jÒ j‹Š ej7ü ]”j5ü ajWü ]”(jUü jšA ejfü ]”jdü ajü ]”j}ü ajü ]”jü ajœü ]”jšü aj±ü ]”j¯ü aj¾ü ]”j¼ü ajÌü ]”(jÊü j×ü jäü jÄ ejóü ]”jñü ajý ]”jý ajý ]”jý aj$ý ]”j"ý aj1ý ]”j/ý aj?ý ]”j=ý ajMý ]”jKý aj^ý ]”j\ý ajzý ]”jxý aj‡ý ]”j…ý aj•ý ]”j“ý aj¢ý ]”(j ý j¸ý ejÒý ]”(jÐý jøý j þ ejJþ ]”jHþ ajXþ ]”jVþ ajoþ ]”jmþ aj‚þ ]”j€þ aj‘þ ]”(jþ j¢ø ejžþ ]”jœþ aj­þ ]”j«þ aj¼þ ]”jºþ ajËþ ]”jÉþ ajÚþ ]”jØþ ajíþ ]”(jëþ j! ej ÿ ]”jþþ ajÿ ]”jÿ ajÿ ]”jÿ ajSÿ ]”jQÿ ajbÿ ]”(j`ÿ j{ÿ ej˜ÿ ]”j–ÿ aj¨ÿ ]”j¦ÿ ajÂÿ ]”jÀÿ ajÕÿ ]”jÓÿ ajäÿ ]”jâÿ ajõÿ ]”jóÿ aj  ]”j  aj  ]”(j  j*  ej@  ]”j>  ajN  ]”jL  aj]  ]”j[  aj‚  ]”j€  ajž  ]”jœ  ajµ  ]”(j³  j¬ ejÂ  ]”jÀ  ajÑ  ]”(jÏ  jÞ  ejî  ]”jì  ajü  ]”jú  aj	 ]”j aj ]”j aj* ]”j( aj; ]”j9 ajM ]”jK ajk ]”ji ajx ]”jv aj ]”(jŽ jž j® j¾ ejÐ ]”jÎ ajä ]”jâ ajø ]”jö aj ]”j aj ]”(j jÝé ej- ]”j+ aj= ]”(j; jÐ ejP ]”jN ajs ]”jq aj€ ]”j~ aj“ ]”j‘ aj¥ ]”j£ aj¸ ]”j¶ ajÉ ]”jÇ ajÖ ]”jÔ ajã ]”já aj ]”j aj ]”(j j" ej1 ]”j/ ajB ]”(j@ jûê ej_ ]”j] ajr ]”(jp j~ ejŽ ]”jŒ aj¢ ]”j  aj³ ]”j± ajÂ ]”jÀ ajÑ ]”jÏ ajà ]”jÞ ajï ]”jí ajþ ]”(jü j	 jé  ej ]”j aj& ]”j$ aj7 ]”j5 ajG ]”jE ajU ]”jS ajp ]”jn aj ]”j aj“ ]”j‘ aj¥ ]”j£ aj· ]”jµ ajÇ ]”(jÅ j	™ ejÖ ]”jÔ ajê ]”jè aj  ]”jþ aj ]”j aj$ ]”j" aj7 ]”j5 ajM ]”jK aj[ ]”jY ajp ]”jn ajŒ ]”jŠ ajœ ]”jš aj­ ]”j« aj¼ ]”jº ajÑ ]”jÏ ají ]”jë ajú ]”jø aj ]”j aj ]”j aj! ]”j aj- ]”j+ aj9 ]”j7 ajF ]”jD ajR ]”jP aj^ ]”j\ ajj ]”jh ajw ]”ju ajƒ ]”j aj ]”j aj› ]”j™ aj¨ ]”j¦ aj´ ]”j² ajÀ ]”j¾ ajÌ ]”jÊ ajØ ]”jÖ ajä ]”jâ ajð ]”jî ajý ]”jû aj	 ]”j aj ]”j aj! ]”j aj. ]”j, aj: ]”j8 ajF ]”jD ajR ]”jP aj^ ]”j\ ajj ]”jh ajv ]”jt aj† ]”j„ aj’ ]”j ajž ]”jœ ajª ]”j¨ aj¶ ]”j´ ajÂ ]”jÀ ajÎ ]”jÌ ajÚ ]”jØ ajæ ]”jä ajò ]”jð ajþ ]”jü aj
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 j× jG jŠ jkÜ j ejV ]”(jV já& jÐ jDw ejEV ]”(jCV jÿ• j+™ j³ ju jdY j×% j:I ejRV ]”(jPV j1y jœ jY j¸! jÝD jþ& jù ejwV ]”juV aj†V ]”(j„V jÅ jì› jŠÙ j( ej“V ]”j‘V aj®V ]”j¬V aj¼V ]”jºV ajÊV ]”(jÈV jÆZ j¾Ï j{ß jô j> jâ jªT j=| j< ejØV ]”jÖV ajþV ]”jüV ajW ]”(jW j7‡ j. j2Ã jêÙ jGø jÅú jòì ej$W ]”j"W aj4W ]”(j2W j=d j j„™ j j£® joq jhè jï jŒ ejOW ]”jMW aj^W ]”j\W ajˆW ]”j†W ajžW ]”(jœW j;Õ jäù jo£ ej¯W ]”(j­W j ã j~x ej¼W ]”(jºW j|Ð j›G j| j¤Í jÜ¼ jCH jfi já j¶C ejÉW ]”jÇW ajØW ]”(jÖW jdÅ jY jSR j¦d j´i j¯k jPI jØÌ j–û ejåW ]”jãW ajöW ]”jôW ajX ]”(jX jnk jÁÑ j/ë j0{ j]‡ jÃ	 j¨1 j= jËD ejX ]”(jX j…ö j) jè# ej!X ]”jX aj0X ]”j.X ajPX ]”(jNX jQ jC» jK' j-) j±ñ j…. ej]X ]”(j[X jPh jêŠ j% jz j^Ä j«Ó jD| ejkX ]”(jiX jlu j¼ j^1 ejyX ]”(jwX j([ jã< j|\ j±\ j”; j¢ j9x jŠŽ j¦1 j¹O ej‡X ]”j…X aj¥X ]”(j£X j3a jÉ jkÒ jLÕ jTl jD jcO jÅ¶ ej·X ]”jµX ajÇX ]”jÅX ajîX ]”jìX ajýX ]”(jûX jŽb jrc jðó j j‚ j‘ jý' j…” j1 jN7 j#\ j½n j¼| j-º j)» jØ ejY ]”(jY jˆ j†• j×& j}z j3è ej-Y ]”(j+Y jû$ jN; jóš jªÁ jû| j¼ˆ jê  j’ j,' jiÁ jóÊ ejHY ]”(jFY jAÔ ejlY ]”jjY aj†Y ]”j„Y aj£Y ]”(j¡Y jjØ jËÏ j‡ÿ ejµY ]”j³Y ajÃY ]”(jÁY j6[ jÜ j¯r ejÑY ]”jÏY ajßY ]”(jÝY j‰f ejïY ]”jíY ajZ ]”(jZ j¾' jq3 j'^ jé jy j)Ž j jõQ ejDZ ]”(jBZ jèv j5‰ j(Ã j4 jtA jáD jy jÛ j/þ ejUZ ]”(jSZ jX: jû´ ejfZ ]”jdZ ajtZ ]”jrZ aj’Z ]”jZ ajžZ ]”(jœZ jõ j+ë jù] j–¦ j…Ý j>ž jW ej¶Z ]”j´Z ajÖZ ]”(jÔZ jqú j˜z jž ejèZ ]”(jæZ j!Ã jƒè j¥· j¯æ j„, ejõZ ]”(jóZ jè› j»ß jÝN j’g jÂÝ jß jY ej[ ]”j[ aj[ ]”(j[ jïb ejF[ ]”(jD[ jð jm jüI j, jÃ jê< j/ j¶a jIÓ ejS[ ]”jQ[ ajd[ ]”jb[ ajs[ ]”jq[ ajŸ[ ]”(j[ jí j°Û j[+ j`º ej®[ ]”j¬[ ajÇ[ ]”(jÅ[ j™. j&3 jã ejæ[ ]”(jä[ j« j†÷ jQB jVÓ ejô[ ]”(jò[ j¤ jød jÕ j¹g j™ jfá jGˆ jD/ j3 ej\ ]”jÿ[ aj\ ]”(j\ j=B j}Ò jÀV já’ j–6 jJ‰ j8ø j÷l j9y jöâ ej\ ]”j\ aj-\ ]”(j+\ jû} jS j\ ejH\ ]”(jF\ jâ jk ejV\ ]”(jT\ j6v ejp\ ]”jn\ aj€\ ]”(j~\ j  jÒÁ jÞÎ jŽG jTn jö“ j›ô j<) j¿ j”0 ej\ ]”(j‹\ j'b j." jk¼ ejš\ ]”(j˜\ j|e jnt j¬ jg jÒ	 jõž j?© j­¯ j¦Ç ejª\ ]”j¨\ ajÊ\ ]”jÈ\ ajÙ\ ]”(j×\ jÎÈ j¤, jãq j<@ j`& ej] ]”(j] j j÷‡ jŒ2 jÂ@ j”e j7{ jrø j,W ej] ]”(j] j… jF5 j  ej%] ]”(j#] j— jYÞ j)¡ j[ j¢Ï jbë jÝ  ejO] ]”(jM] jM— jz jØ jÛ- j‘w jAì ej\] ]”(jZ] jpd ja• j#€ j* ejp] ]”(jn] jëþ ej}] ]”j{] ajš] ]”(j˜] j®~ jýÜ j¢û jó jD7 jy™ jù j·› ej§] ]”(j¥] j½Š j„ j©õ ejÃ] ]”jÁ] ajÐ] ]”jÎ] ajß] ]”(jÝ] j¼N jz j¾
 jlò j·) j«ò jv2 ejì] ]”(jê] jSÍ jŽ` j jcš ejù] ]”(j÷] jÊr j¢‹ j ò j> j*Ç jêZ j; j@O ej^ ]”(j^ j¢ jÙÐ j™´ jT× ej^ ]”(j^ j•´ j²] j6l jy j«Õ j'} jUË jv5 ej$^ ]”j"^ aj4^ ]”(j2^ j¾½ j$ j¢/ jdS jÜ\ j" j˜d ejA^ ]”(j?^ j¾r jì³ j’ð jTÀ jéË jU8 j.Á jCÎ j. ejO^ ]”jM^ ajn^ ]”(jl^ jòØ j+‡ jÙ‡ jÿ¨ j¼ jXã jg” jiª ej^ ]”j}^ aj^ ]”(jŽ^ j¾7 ej ^ ]”jž^ ajª^ ]”(j¨^ jôó j–å jO jÒ j@ ej·^ ]”jµ^ ajÊ^ ]”(jÈ^ j= jØx ejÖ^ ]”(jÔ^ j€£ jÒ§ jùõ jˆB j±I jFÉ j©ý j¡û jï! ejö^ ]”jô^ aj_ ]”(j	_ j > ej_ ]”j_ aj1_ ]”j/_ aj?_ ]”j=_ ajO_ ]”(jM_ j´  j¿ j } jÖñ j
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í jÊ. ej£Ž ]”(j¡Ž jHÂ j«; ji‘ j{¨ jÏê jWÁ jšÛ ejµŽ ]”j³Ž ajÅŽ ]”(jÃŽ jÞ® ejþŽ ]”(jüŽ jVž j”D jÎD ej ]”(j jž! jž” jƒ j(r j6¾ ejC ]”(jA jü² jš jµ jô j¹' j?A jÃë jk jh5 ejs ]”(jq j.è j8½ j÷ j£1 jõ{ ej€ ]”j~ aj£ ]”j¡ ajÀ ]”(j¾ jI! jFN j	] jËØ j
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@ ]”j@ aj@ ]”(j@ j4u ejA@ ]”(j?@ jX( jûj jz¶ ejN@ ]”jL@ ajt@ ]”jr@ aj@ ]”(j@ j¨× jŠƒ ej@ ]”j@ aj¬@ ]”jª@ aj»@ ]”(j¹@ j,¢ jû jÐ- ej×@ ]”(jÕ@ jÆ^ jýŠ ej(A ]”(j&A j{u ej5A ]”(j3A jÎS jŠp jRˆ jðÍ ejEA ]”jCA ajgA ]”jeA aj‡A ]”j…A aj£A ]”(j¡A jÝi j1« j´… ej¶A ]”j´A ajØA ]”jÖA ajòA ]”jðA ajÿA ]”jýA ajB ]”(jB jö jhl jÐ ej'B ]”(j%B jÓR j\  ej B ]”jžB aj°B ]”j®B aj¿B ]”(j½B j Ê ejîB ]”(jìB j…‡ ejC ]”jC aj!C ]”jC aj<C ]”j:C ajJC ]”jHC ajiC ]”(jgC jÐ] j.‰ jI jyW j† j*“ jY° j!Ï ej”C ]”(j’C jHR ej¥C ]”j£C ajµC ]”j³C ajçC ]”(jåC jc© ejD ]”(jD j·½ ejD ]”jD aj2D ]”j0D ajID ]”jGD ajVD ]”(jTD jšI j5– jb¦ jN© j1	 j¢6 jÊì ejrD ]”jpD ajD ]”j}D ajŒD ]”(jŠD jI j”c jšp jÞ‘ j¢œ jÓ® jÒü jbC jb jç, j27 jT ejÞD ]”jÜD ajE ]”jE ajE ]”jE ajE ]”(jE jÆ ej±E ]”j¯E aj'F ]”(j%F j¾ j´µ ejCF ]”(jAF jÅw jï jÝ: jõ@ j¹ j¦Ê jï ejbF ]”j`F ajoF ]”(jmF j¶f jJÈ jŽ| ejF ]”jF ajªF ]”(j¨F j÷B jÊ jl ejÈF ]”jÆF ajçF ]”jåF ajõF ]”(jóF j~] j¬Ù jRO ejG ]”(jG j¡­ ej#G ]”j!G ajBG ]”j@G ajdG ]”(jbG j† jôE ej×G ]”(jÕG jw¸ ejåG ]”(jãG jü¹ jn j˜ò ejH ]”(jH jj j$ã jn jÛ‚ ejH ]”(jH j. ejGH ]”(jEH jy{ j›¤ jOÇ ejxH ]”jvH aj¤H ]”j¢H aj·H ]”(jµH j! jí j$! ejÇH ]”(jÅH j‚ª jI¢ jî­ j/á j/ ejãH ]”(jáH ji jcý jÃÇ ejI ]”jI aj$I ]”j"I aj3I ]”(j1I jZÃ j1š ej@I ]”j>I ajeI ]”(jcI j8i jì| jq˜ ejƒI ]”(jI jÀœ jK j²' ej©I ]”(j§I jš2 ejëI ]”(jéI jíÍ j1« jT
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f j‘> ejf ]”(jf j>; jlG j½ j+ jè4 jŒ jnw j]ì ej›f ]”j™f aj×f ]”jÕf ajäf ]”jâf ajg ]”jg ajDg ]”(jBg jÍÔ ej`g ]”(j^g jÏ j› j±„ jãÛ ejpg ]”jng aj¥g ]”j£g aj³g ]”j±g ajÎg ]”(jÌg jDu ejh ]”(jh j–œ jiÜ jÔ= ej:h ]”(j8h jÀ ej‚h ]”(j€h jÊý jVŽ j jÛI jëŽ ejÀh ]”j¾h aj&i ]”(j$i jÒ  jÇ ejai ]”(j_i jAÓ ej…i ]”jƒi aj”i ]”j’i aj±i ]”(j¯i j&‘ jÊ jV ejÂi ]”(jÀi j˜Ï j¤ jÚ9 jŒ j†´ jÚí jG6 ejòi ]”jði ajüi ]”júi aj&j ]”(j$j j~« jyâ jõ± ej=j ]”j;j ajhj ]”(jfj jðÿ jHE jF{ jö‚ j›º ejˆj ]”(j†j jÏª jI¶ jxÖ jò( jË j¦ó jŸ© ej÷j ]”(jõj j­Ç jSV j»ì ejk ]”(jk j¶ j§ j« ejEk ]”(jCk j‰} ejŒk ]”(jŠk j`ß ej›k ]”(j™k j;* ej©k ]”j§k ajÄk ]”(jÂk j8á j>¶ ejæk ]”(jäk jÁ j7 jA ejl ]”(jl jy¦ ej?l ]”j=l ajNl ]”(jLl j+’ ejel ]”jcl ajol ]”jml aj|l ]”(jzl j_ jÃ‘ j·“ ejŽl ]”jŒl aj½l ]”(j»l jU¦ jÒ÷ j|k jÔ jƒ' jrÓ jÙQ ejñl ]”(jïl jâß ejm ]”(jm jŽ¡ j® jÇa j©¸ j/ j=ù j¾@ ejm ]”jm aj(m ]”j&m ajam ]”(j_m j8¬ ejrm ]”jpm ajm ]”jm ajm ]”jŽm aj m ]”(jžm jH jr" ej­m ]”j«m aj»m ]”j¹m ajäm ]”(jâm j)· jŒ  ejñm ]”(jïm j•Ú j… ejÿm ]”(jým jÅ­ jF j ej.n ]”j,n ajcn ]”(jan j„Â ej„n ]”(j‚n jëÊ ej“n ]”j‘n aj n ]”jžn ajËn ]”jÉn aj	o ]”(jo j
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u aju ]”(ju j jD j±W ejyu ]”(jwu jè jú0 j_þ j« jÜ¡ j½Ú j— jý¼ ej£u ]”(j¡u j) ejµu ]”j³u ajîu ]”jìu ajúu ]”jøu aj6v ]”(j4v j± jræ jî! ejUv ]”(jSv j_} ejav ]”j_v ajêv ]”jèv ajAw ]”(j?w j
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Z j²m ej8Z ]”(j6Z jXÏ jíT j¾x jË' jÐj j¤ j‘E ejRZ ]”jPZ ajyZ ]”jwZ ajZ ]”jZ ajžZ ]”jœZ aj®Z ]”(j¬Z j—õ ej¾Z ]”j¼Z ajÕZ ]”jÓZ ajúZ ]”jøZ aj4[ ]”(j2[ jág jNz jš’ jŸ˜ ejA[ ]”j?[ aj][ ]”(j[[ ja ej¦[ ]”j¤[ aj´[ ]”j²[ ajü[ ]”jú[ aj\ ]”j\ aj"\ ]”j \ ajD\ ]”jB\ ajR\ ]”jP\ ajq\ ]”(jo\ j´Æ jH¡ jÏ¡ jã© jl ejŒ\ ]”(jŠ\ jÏƒ ejÝ\ ]”(jÛ\ j&‹ j‚p j¹µ ej] ]”j] aj™] ]”j—] aj¯] ]”j­] ajì] ]”jê] ajû] ]”(jù] j]s ej,^ ]”j*^ ajÚ^ ]”jØ^ aj_ ]”j_ aj5_ ]”j3_ ajU_ ]”(jS_ jõŒ ej•_ ]”(j“_ jÇ† jêç jPL ej´_ ]”j²_ aj ` ]”jþ_ aj-` ]”j+` ajA` ]”(j?` jx ejT` ]”jR` aj„` ]”j‚` aj­` ]”j«` ajº` ]”j¸` ajÈ` ]”jÆ` aja ]”ja aj^a ]”j\a ajŸa ]”ja aj»a ]”j¹a ajãa ]”jáa aj5b ]”j3b ajCb ]”jAb ajZb ]”jXb ajlb ]”(jjb jð j˜ jú· ej¥b ]”j£b aj¸b ]”j¶b aj:c ]”j8c aj„c ]”j‚c aj¨c ]”j¦c ajïc ]”jíc ajd ]”jÿc ajd ]”(jd j]! jkø ejAd ]”j?d aj_d ]”j]d ajnd ]”jld aj¾d ]”(j¼d j` ejÝd ]”jÛd ajòd ]”jðd aj e ]”jþd aje ]”je aje ]”je aj]e ]”j[e ajle ]”jje aj·e ]”(jµe j† ejÄe ]”(jÂe j‹® ejûe ]”jùe aj?f ]”j=f aj|f ]”(jzf jû9 ej¨f ]”j¦f ajîf ]”jìf aj*g ]”j(g ajŒg ]”jŠg aj¨g ]”j¦g aj·g ]”(jµg jõ˜ j¥Í jê ejÉg ]”jÇg ajh ]”jh aj2h ]”j0h ajVh ]”(jTh jýn j>§ j jö: ej›h ]”j™h aj®h ]”j¬h ajÊh ]”jÈh ajæh ]”jäh aji ]”j i aji ]”(j‹i jÓ ejÃi ]”jÁi ajj ]”jj aj8j ]”j6j aj†j ]”j„j ajµj ]”j³j ajïj ]”jíj aj%k ]”j#k ajUk ]”jSk ajbk ]”j`k ajrk ]”jpk ajk ]”jŽk ajk ]”j›k ajÎk ]”jÌk ajîk ]”jìk aj÷k ]”jõk ajl ]”jl ajHl ]”(jFl j¢Û ejzl ]”(jxl j¬N ej›l ]”j™l ajºl ]”(j¸l j$$ j¼ j3â ejÛl ]”jÙl ajúl ]”jøl ajm ]”jm ajCm ]”(jAm jCç ejQm ]”jOm ajnm ]”jlm aj£m ]”(j¡m jx) ej±m ]”j¯m ajÑm ]”(jÏm j‹{ j,v ejn ]”jn ajn ]”jn ajWn ]”jUn aj~n ]”j|n ajÁn ]”j¿n aj+o ]”j)o ajco ]”jao aj­o ]”j«o aj½o ]”j»o ajÜo ]”jÚo ajïo ]”jío aj p ]”(jþo jÞF ejp ]”jp aj8p ]”j6p aj…p ]”jƒp aj–p ]”j”p aj°p ]”j®p aj@q ]”(j>q j¡0 ejcq ]”jaq ajq ]”j‹q ajÐq ]”jÎq ajÝq ]”jÛq ajëq ]”jéq aj	r ]”jr ajr ]”jr aj`r ]”j^r ajßr ]”jÝr ajïr ]”jír ajür ]”júr aj)s ]”(j's jÛ jr= j½ù ej7s ]”j5s aj«s ]”j©s ajÆs ]”jÄs ajÓs ]”jÑs ajâs ]”jàs ajïs ]”jís aj t ]”jþs ajt ]”jt ajHt ]”(jFt js ej\t ]”jZt ajt ]”jt ajÅt ]”(jÃt jÜº j! j_À j\D jER ejãt ]”ját ajðt ]”jît aj«u ]”j©u ajºu ]”j¸u ajv ]”jv ajsv ]”jqv ajv ]”jv aj”v ]”j’v aj¡v ]”(jŸv jRÉ jDŸ j¥d ejÜv ]”(jÚv jú jb jG2 ejëv ]”jév aj+w ]”j)w ajfw ]”(jdw jëŸ ejtw ]”jrw aj²w ]”j°w ajÏw ]”jÍw ajÝw ]”jÛw ajìw ]”jêw ajx ]”jÿw ajx ]”jx aj:x ]”(j8x jw  jï j2 ejIx ]”jGx aj[x ]”jYx aj«x ]”(j©x jª¯ jê j% j¹Ø ejíx ]”jëx ajüx ]”júx ajy ]”jy aj+y ]”j)y ajJy ]”jHy ajXy ]”jVy ajuy ]”jsy aj†y ]”j„y aj´y ]”j²y ajÂy ]”jÀy ajây ]”jày ajz ]”(jz j¤6 ej+z ]”j)z ajz ]”(jz j j¯U ej{ ]”j{ aj{ ]”j{ aj%{ ]”(j#{ j„r ejA{ ]”j?{ ajU{ ]”jS{ aj´{ ]”(j²{ j¨ j" jñ ej| ]”(j | jÕÎ jÔ jÜú jdÅ ej9| ]”j7| ajM| ]”jK| ajZ| ]”(jX| jÍÉ jW‰ jŸ jià j¶® ejw| ]”ju| aj‰| ]”j‡| ajµ| ]”j³| aj×| ]”jÕ| ajå| ]”jã| aj#} ]”j!} ajL} ]”jJ} ají} ]”jë} ajü} ]”jú} aj~ ]”j~ aj;~ ]”j9~ ajV~ ]”jT~ aj›~ ]”j™~ aj©~ ]”j§~ aj1 ]”j/ aj@ ]”j> ajS ]”jQ aj` ]”j^ aj ]”(j› j;C jT· j,ó ejã ]”já aj€ ]”j€ aj€ ]”(j€ jæ” ej(€ ]”j&€ aj7€ ]”(j5€ j
? j”… jœ« j? jVH ej„€ ]”j‚€ aj’€ ]”(j€ j/ jÖÐ ej¶€ ]”j´€ ajÈ€ ]”jÆ€ aj ]”j aj  ]”j ajV ]”jT ajv ]”jt aj  ]”jž aj± ]”j¯ aj‚ ]”(jÿ j j¥ê ejG‚ ]”jE‚ ajT‚ ]”jR‚ aja‚ ]”j_‚ ajo‚ ]”(jm‚ jYË eu(j‹‚ ]”(j‰‚ jc6 ej™‚ ]”j—‚ ajÂ‚ ]”(jÀ‚ jâ j„ä jü° ejÑ‚ ]”(jÏ‚ jYÎ j·Ü j ¤ jš ja· jŒí jH ejô‚ ]”jò‚ ajƒ ]”j	ƒ aj#ƒ ]”j!ƒ aj2ƒ ]”(j0ƒ j›j ejBƒ ]”j@ƒ ajƒ ]”j}ƒ aj¯ƒ ]”j­ƒ aj„ ]”(j„ j; ej"„ ]”j „ aj>„ ]”j<„ aj\„ ]”(jZ„ jo¦ jª jOM ejw„ ]”(ju„ jZò ejø„ ]”jö„ aj… ]”j… aj… ]”(j… j jEˆ j¥ ejG… ]”jE… ajU… ]”jS… ajÀ… ]”j¾… ajÛ… ]”(jÙ… jõä ej† ]”j† aj† ]”(j† j™7 ej† ]”jŽ† aj·† ]”jµ† ajÙ† ]”(j×† j^ j½« jË4 ejn‡ ]”jl‡ aj¯‡ ]”j­‡ ajË‡ ]”jÉ‡ ajü‡ ]”jú‡ ajAˆ ]”j?ˆ ajOˆ ]”jMˆ ajaˆ ]”j_ˆ ajrˆ ]”(jpˆ jå¸ jÄ• ejÉˆ ]”jÇˆ aj‰ ]”j‰ aj=‰ ]”j;‰ ajž‰ ]”jœ‰ aj«‰ ]”j©‰ ajë‰ ]”jé‰ ajý‰ ]”jû‰ ajŠ ]”j	Š ajŠ ]”jŠ aj(Š ]”j&Š aj6Š ]”j4Š ajTŠ ]”jRŠ ajbŠ ]”j`Š ajpŠ ]”jnŠ aj–Š ]”j”Š ajÌŠ ]”jÊŠ ajÛŠ ]”jÙŠ ajûŠ ]”(jùŠ jcç jMž jS± jÊŒ ej‹ ]”j‹ aja‹ ]”j_‹ ajm‹ ]”jk‹ ajÉ‹ ]”jÇ‹ ajŒ ]”jŒ aj&Œ ]”j$Œ ajAŒ ]”j?Œ ajMŒ ]”jKŒ ajZŒ ]”jXŒ ajiŒ ]”(jgŒ jh# j8. jö ej†Œ ]”j„Œ aj–Œ ]”j”Œ aj¦Œ ]”(j¤Œ jØÞ j÷y j§ƒ ejÁŒ ]”j¿Œ ajãŒ ]”(jáŒ j™  jH­ ejñŒ ]”jïŒ ajÿŒ ]”jýŒ aj ]”(j
 j¬ j•” j«5 ej3 ]”j1 ajD ]”jB aj ]”j‹ aj¿ ]”j½ ajÌ ]”jÊ aj&Ž ]”j$Ž ajŽ ]”jŽŽ aj ]”j aj: ]”j8 aj ]”j‹ a•»      jœ ]”jš ajÓ ]”jÑ ajþ ]”(jü jw„ ej ]”j aj) ]”j' aj7 ]”j5 aj‰ ]”j‡ aj´ ]”j² ajä ]”(jâ j•ª ej ‘ ]”jþ aj)‘ ]”j'‘ aj8‘ ]”j6‘ ajE‘ ]”(jC‘ j÷™ ejS‘ ]”jQ‘ aj€‘ ]”j~‘ aj¶‘ ]”j´‘ ajÿ‘ ]”jý‘ aja’ ]”(j_’ j© ej{’ ]”(jy’ jŒ jäð jÁÝ ejÊ’ ]”jÈ’ ajñ’ ]”jï’ aj“ ]”j“ aj“ ]”(j“ jØ jé j%2 ejŽ“ ]”(jŒ“ jd/ j9¬ ejœ“ ]”jš“ aj»“ ]”(j¹“ jžM ejË“ ]”jÉ“ ajü“ ]”jú“ aj3” ]”j1” ajÞ” ]”jÜ” aj*• ]”j(• aj[• ]”jY• aju• ]”js• ajƒ• ]”j• ajÊ• ]”(jÈ• jÀ j^  jAþ jv ejö• ]”jô• ajš– ]”j˜– ajÂ– ]”jÀ– ajÒ– ]”jÐ– aj— ]”j— aj:— ]”j8— aje— ]”jc— aj…— ]”jƒ— ajÉ— ]”jÇ— ajæ— ]”jä— aj˜ ]”j˜ aj}˜ ]”j{˜ aj¦˜ ]”j¤˜ ajÒ˜ ]”jÐ˜ ajû˜ ]”jù˜ aj(™ ]”j&™ aj–™ ]”(j”™ jHT ejÃ™ ]”(jÁ™ j† jœ jP ejß™ ]”jÝ™ ajì™ ]”jê™ aj(š ]”(j&š jÃ jí† j§Ô ejFš ]”jDš ajyš ]”jwš aj•š ]”(j“š jxM ej·š ]”jµš ajR› ]”jP› aj™› ]”j—› ajÆ› ]”jÄ› ajœ ]”jœ aj.œ ]”j,œ aj\œ ]”(jZœ jƒ½ jÿÇ jT‡ ej‡œ ]”(j…œ jt jï( j× ejûœ ]”jùœ ajV ]”jT ajs ]”jq aj ]”j aj» ]”j¹ ajž ]”(jž jh ejIŸ ]”jGŸ ajVŸ ]”jTŸ aj›Ÿ ]”j™Ÿ aj±Ÿ ]”(j¯Ÿ joÇ ejÌŸ ]”jÊŸ ajêŸ ]”jèŸ aj  ]”j	  ajT  ]”jR  aja  ]”j_  aj  ]”j}  ajŒ  ]”jŠ  aj›  ]”j™  aj¶  ]”j´  ajÆ  ]”jÄ  aj:¡ ]”j8¡ ajY¡ ]”(jW¡ jB¤ jà® jÂ jÐ; j  já( j< ejÔ¡ ]”(jÒ¡ j7å jì ejá¡ ]”jß¡ ajÿ¡ ]”jý¡ aj¢ ]”j
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 ej  ]”jž ajù ]”j÷ aj ]”j ajC ]”jA ajp ]”jn ajª ]”(j¨ jp ejÒ ]”jÐ aj" ]”j  ajD ]”jB ajR ]”(jP j< j$[ j°¶ ejŠ ]”jˆ aj ]”j› ajª ]”j¨ ajÈ ]”jÆ aj ]”j	 aj ]”j aj= ]”j; ajy ]”jw aj– ]”j” aj¤ ]”j¢ ajÁ ]”j¿ aj  ]”jþ aj ]”j ajT ]”jR ajf ]”jd ajš ]”j˜ ajÌ ]”jÊ ajù ]”j÷ aj ]”j aj  ]”j aj9 ]”j7 aj­ ]”j« aj½ ]”j» ajì ]”jê aj ]”j aj* ]”j( aj9 ]”j7 aj° ]”j® ajÀ ]”j¾ ajÒ ]”jÐ ajá ]”jß aj  ]”jþ aj ]”j aj ]”j aj* ]”j( aj: ]”j8 ajH ]”jF aj[ ]”jY aj€ ]”(j~ j©A j•¼ j˜N ej£ ]”(j¡ jËA ej± ]”j¯ ajý ]”jû aj# ]”j! aj2 ]”j0 aj£ ]”j¡ ajÂ ]”(jÀ jžÔ ejz ]”(jx jŠ ej‡ ]”j… aj— ]”j• aj¥ ]”j£ aj¸ ]”j¶ aj
 ]”j ajV ]”jT ajh ]”jf aj‡ ]”j… ajé ]”(jç jˆè ej ]”j ajx ]”jv aj‡ ]”(j… jf ej± ]”j¯ ajå ]”(jã j
¯ ej ]”j aj ]”j ajN ]”jL aj[ ]”jY ajt ]”jr aj ]”jŽ aj¬ ]”jª ajÆ ]”jÄ ajö ]”jô aj7 ]”j5 ajR ]”jP aj ]”j ajÃ ]”jÁ ajà ]”(jÞ ja jq„ j×™ j§ü ejü ]”jú ajv ]”jt aj‡ ]”j… aj´ ]”j² ajä ]”jâ ajö ]”jô aj  ]”j  aj¨  ]”j¦  aj¶  ]”j´  aj! ]”(j! jS² ej! ]”j! aj2! ]”(j0! jYi ejj! ]”jh! ajæ! ]”jä! aj" ]”j" ajQ" ]”jO" aj" ]”j" aj # ]”jþ" aj# ]”j# aj1# ]”j/# ajy# ]”jw# ajÇ# ]”jÅ# ajN$ ]”jL$ aj>% ]”j<% aj`% ]”j^% aj„% ]”j‚% aj«% ]”j©% aj¸% ]”j¶% ajÿ% ]”jý% aj¤& ]”j¢& ajÓ& ]”jÑ& ajì& ]”(jê& j£U jýÜ j	 ej5' ]”(j3' jÚ( jÛÖ ejZ' ]”jX' ajg' ]”je' ajú' ]”jø' aj( ]”j( aj6( ]”j4( aje( ]”jc( aj’( ]”(j( j½w jW jkØ j¾ÿ ej) ]”j) aj<) ]”j:) ajˆ) ]”j†) ajÆ) ]”jÄ) aj"* ]”j * ajK* ]”jI* aj * ]”jž* ajÑ* ]”jÏ* ajb+ ]”(j`+ jcU ejp+ ]”jn+ aj+ ]”jŽ+ ajà+ ]”jÞ+ aj, ]”j, aj, ]”j, aj@, ]”j>, aje, ]”(jc, j£ ej, ]”j›, aj­, ]”j«, ajÐ, ]”jÎ, ajó, ]”jñ, aj"- ]”j - aj/- ]”j-- aj=- ]”j;- ajƒ- ]”j- aj¾- ]”j¼- aj. ]”j. ajf. ]”jd. ajº. ]”j¸. ajá. ]”(jß. jí¹ j,Â ej/ ]”j/ aj2/ ]”j0/ ajt/ ]”jr/ ajž/ ]”jœ/ ajÞ/ ]”jÜ/ aj0 ]”j0 ajU0 ]”jS0 ajo0 ]”(jm0 jN jß¨ j‹U ej}0 ]”j{0 aj¨0 ]”j¦0 aj×0 ]”jÕ0 ají0 ]”jë0 aj1 ]”j1 aj&1 ]”(j$1 j_¦ j‘Ü jå§ ejA1 ]”j?1 aj`1 ]”j^1 ajq1 ]”(jo1 jvÙ jÏ5 ej‘1 ]”j1 ajØ1 ]”jÖ1 aj42 ]”j22 aj®2 ]”(j¬2 jØ jP¡ ejÌ2 ]”jÊ2 ajæ2 ]”jä2 aj3 ]”j 3 aj3 ]”j3 aj3 ]”j3 aj`3 ]”j^3 aj~3 ]”j|3 aj‹3 ]”j‰3 aj˜3 ]”j–3 ajÝ3 ]”jÛ3 aj4 ]”(j	4 j† ej+4 ]”(j)4 j/K ejA4 ]”(j?4 jjH ejN4 ]”jL4 aj€4 ]”(j~4 j‰A ej°4 ]”j®4 ajË4 ]”jÉ4 ajú4 ]”jø4 aj95 ]”j75 ajZ5 ]”(jX5 j¬y jêº j‡– ej5 ]”j›5 ajª5 ]”j¨5 aj×5 ]”jÕ5 ajå5 ]”jã5 aj%6 ]”j#6 aj¦6 ]”j¤6 aj¶6 ]”j´6 ajô6 ]”jò6 aj 7 ]”(j7 jî× ej.7 ]”j,7 ajk7 ]”ji7 ajz7 ]”(jx7 j# j* ej‡7 ]”j…7 ajÚ7 ]”jØ7 ajê7 ]”jè7 aj8 ]”j8 au(jf8 ]”jd8 aj¤8 ]”(j¢8 j®ø ejë8 ]”jé8 aj,9 ]”j*9 aj<9 ]”j:9 ajJ9 ]”jH9 ajj9 ]”(jh9 juR ej¸9 ]”j¶9 ajÅ9 ]”(jÃ9 jW ejý9 ]”jû9 aj: ]”(j: j6 ej: ]”j: aj.: ]”j,: aj[: ]”jY: ajl: ]”jj: aj„: ]”(j‚: j– ejÎ: ]”jÌ: aj; ]”j; aj.; ]”j,; aj_; ]”(j]; j”Ï ejn; ]”jl; aj¤; ]”(j¢; jpr ejô; ]”jò; aj]< ]”j[< aj˜< ]”j–< ajÊ< ]”jÈ< ajÜ< ]”jÚ< aji= ]”jg= aj­= ]”(j«= j—( j
+ j  ej»= ]”j¹= aj> ]”j> aj0> ]”j.> ajM> ]”jK> aj]> ]”j[> ajj> ]”jh> aj»> ]”j¹> ajÊ> ]”jÈ> aj=? ]”j;? ajL? ]”jJ? aj? ]”j›? ajï? ]”jí? aj@ ]”j@ aj-@ ]”j+@ ajA@ ]”(j?@ jà eja@ ]”j_@ ajp@ ]”jn@ ajÓ@ ]”(jÑ@ j4 ejâ@ ]”jà@ ajð@ ]”jî@ ajü@ ]”jú@ aj%A ]”j#A aj4A ]”(j2A jÊÑ ejaA ]”j_A ajoA ]”jmA aj|A ]”jzA ajúA ]”jøA ajB ]”jB aj3B ]”j1B ajoB ]”jmB aj¦B ]”(j¤B jµ/ ej³B ]”(j±B j jìÀ j8€ ejäB ]”jâB ajøB ]”(jöB jäš ejC ]”jC aj*C ]”j(C ajšC ]”j˜C aj¨C ]”j¦C ajçC ]”jåC aj(D ]”j&D ajFD ]”(jDD jØÓ ej©D ]”j§D ajîD ]”jìD aj7E ]”j5E ajdE ]”jbE ajE ]”j‹E ajF ]”(jF jÌ‡ j{º jâÂ ejˆF ]”j†F ajG ]”j G ajG ]”jG aj9G ]”j7G ajcG ]”jaG ajqG ]”joG ajG ]”jG aj¤G ]”j¢G aj±G ]”j¯G ajùG ]”j÷G ajH ]”j	H ajH ]”jH aj&H ]”j$H ajRH ]”(jPH jºB ej€H ]”(j~H j!e ej›H ]”j™H ajÄH ]”jÂH ajïH ]”jíH ajýH ]”jûH ajI ]”jI aj?I ]”j=I ajI ]”(jI jb& jeA j•O ejÏI ]”jÍI ajíI ]”jëI aj7J ]”j5J ajEJ ]”jCJ ajzJ ]”jxJ aj—J ]”j•J aj¥J ]”j£J ajÉJ ]”jÇJ ajØJ ]”jÖJ ajK ]”jK aj3L ]”j1L aj@L ]”(j>L jîÁ ej‰L ]”j‡L aj˜L ]”(j–L jå ej·L ]”jµL ajÄL ]”(jÂL jWb ejÕL ]”jÓL ajÿL ]”jýL ajM ]”jM ajSM ]”jQM ajmM ]”jkM aj§M ]”j¥M ajúM ]”jøM aj5N ]”j3N ajqN ]”joN aj£N ]”j¡N ajèN ]”jæN aj	O ]”jO ajCO ]”jAO ajêO ]”jèO ajhP ]”jfP ajˆP ]”j†P ajÖP ]”jÔP ajQ ]”jQ ajKQ ]”(jIQ jx^ jS jè° ejlQ ]”(jjQ j}æ ejzQ ]”(jxQ jo| ej‹Q ]”j‰Q aj–Q ]”j”Q aj¿Q ]”j½Q ajR ]”jR aj[R ]”jYR ajšR ]”(j˜R jˆÂ ejòR ]”jðR ajS ]”jS ajS ]”jS aj%S ]”j#S aj6S ]”j4S ajVS ]”jTS ajsS ]”jqS aj’S ]”(jS j… j/— ej²S ]”j°S aj#T ]”j!T ajUT  ]”jKT ajZT ]”jXT ajÍT ]”jËT ajU ]”(jU jâ jZ j_ ej#U ]”j!U aj/U ]”j-U aj†U ]”j„U ajV ]”jÿU ajV ]”(jV jE ejHV ]”(jFV j=Á ejŒV ]”jŠV ajªV ]”j¨V ajîV ]”jìV ajûV ]”jùV aj W ]”(jW jÂ´ ej3W ]”j1W ajkW ]”(jiW jÇç ej£W ]”j¡W ajºW ]”j¸W ajX ]”jX aj*X ]”j(X aj9X ]”j7X aj\X ]”jZX aj…X ]”jƒX aj¡X ]”(jŸX jM ejÊX ]”jÈX aj×X ]”jÕX ajäX ]”jâX ajY ]”jY aj Y ]”jY aj7Y ]”(j5Y jcx ejFY ]”jDY ajÑY ]”jÏY ajìY ]”jêY aj{Z ]”jyZ ajÐZ ]”jÎZ aj[ ]”(j[ jFâ j§Ë ej6[ ]”(j4[ jÊà eja[ ]”j_[ aj†[ ]”j„[ ajÌ[ ]”jÊ[ ajî[ ]”jì[ aj\ ]”(j\ jèm jZ4 j©à ejh\ ]”jf\ ajˆ\ ]”j†\ aj•\ ]”j“\ ajë\ ]”jé\ aj)] ]”j'] ajD] ]”jB] ajl] ]”jj] aj™] ]”j—] ajÒ] ]”jÐ] aj÷] ]”jõ] aj^ ]”j^ aj7^ ]”j5^ ajN^ ]”jL^ ajÀ^ ]”j¾^ ajÝ^ ]”jÛ^ aj_ ]”j_ aj;_ ]”j9_ ajZ_ ]”jX_ ajt_ ]”jr_ aj…_ ]”jƒ_ aj·_ ]”jµ_ ajÖ_ ]”jÔ_ ajå_ ]”(jã_ jÌM ejO` ]”(jM` jm ej` ]”j›` ajô` ]”jò` aj<a ]”j:a ajga ]”jea ajva ]”jta aj©a ]”j§a aj¸a ]”j¶a ajÖa ]”jÔa aj)b ]”j'b ajJb ]”jHb ajib ]”jgb ajŸb ]”jb ajÕb ]”jÓb ajFc ]”jDc ajfc ]”jdc aj—c ]”j•c aj±c ]”j¯c ajÔc ]”jÒc aj4d ]”j2d ajd ]”jd ajªd ]”j¨d ajéd ]”jçd aj÷d ]”jõd ajXe ]”jVe aj‡e ]”j…e aj¥e ]”j£e aj4f ]”j2f aj™f ]”j—f ajôf ]”jòf ajLg ]”jJg aj‚g ]”j€g ajh ]”jh aj+h ]”j)h aj]h ]”j[h ajzh ]”(jxh jR² jMè jÚÓ ej‹h ]”j‰h ajÈh ]”jÆh ajôh ]”(jòh j& ej9i ]”j7i aj¦i ]”(j¤i jÐ¼ ejj ]”jj ajPj ]”jNj ajcj ]”jaj ajqj ]”joj ajj ]”j}j aj­j ]”j«j ajáj ]”jßj ajîj ]”(jìj jÓ	 ejk ]”(jk j+ˆ ejak ]”j_k aj!l ]”jl aj/l ]”(j-l jÇ> ej<l ]”j:l aj[l ]”jYl aj°l ]”j®l ajÐl ]”jÎl ajíl ]”jël ajm ]”jm ajm ]”jm aj;m ]”j9m ajœm ]”(jšm jjð j“Ú ejªm ]”(j¨m jŠx ejüm ]”júm aj8n ]”j6n ajzn ]”jxn ajšn ]”j˜n aj¨n ]”j¦n ajo ]”jo aj;o ]”j9o ajJo ]”jHo ajZo ]”jXo aj³o ]”j±o ajÁo ]”j¿o ajåo ]”jão aj
p ]”jp aj3p ]”j1p ajvp ]”jtp aj³p ]”j±p ajÚp ]”jØp ajq ]”jq aj5q ]”j3q ajFq ]”jDq ajcq ]”jaq ajq ]”j}q ajÆq ]”jÄq ajÓq ]”jÑq ajòq ]”jðq ajYr ]”jWr ajŸr ]”jr aj¿r ]”j½r ajàr ]”jÞr aj s ]”(jþr jR| ejs ]”js ajCs ]”jAs ajps ]”jns ajs ]”js ajs ]”js aj›s ]”j™s ajãs ]”jás ajt ]”jt aj!t ]”jt ajNt ]”jLt ajwt ]”jut aj¤t ]”j¢t aj³t ]”(j±t jÿÕ j´( jà‰ j*( ejÁt ]”j¿t ajÎt ]”jÌt aju ]”ju aj"u ]”j u aj>u ]”(j<u jƒi ej†u ]”j„u aj•u ]”j“u aj³u ]”j±u ajÌu ]”jÊu ajÛu ]”jÙu ajèu ]”jæu ajv ]”jv aj*v ]”j(v ajÄv ]”(jÂv j*Õ ejÒv ]”jÐv ajßv ]”jÝv ajýv ]”jûv aj-x ]”j+x ajZx ]”jXx aj|x ]”jzx aj–x ]”j”x ajòx ]”(jðx jÓ¬ ej<y ]”j:y ajey ]”jcy aj‚y ]”(j€y j£Â ej¿y ]”j½y ajÝy ]”jÛy ajz ]”jz ajz ]”jz aj%z ]”j#z aj]z ]”j[z ajoz ]”jmz ajz ]”j}z ajŸz ]”jz ajËz ]”jÉz ajæz ]”jäz ajöz ]”jôz aj{ ]”j{ ajã{ ]”(já{ j’— jiM j˜ƒ ej"| ]”j | aj…| ]”(jƒ| j5` ej} ]”j} aj5} ]”j3} ajX} ]”jV} ajl} ]”jj} aj‹} ]”j‰} aj¹} ]”j·} ajå} ]”jã} ajì~ ]”jê~ aj. ]”j, ajZ ]”jX ajø ]”(jö jJå j'- j_w ej€ ]”j€ aj€ ]”j€ ajc€ ]”ja€ aj¤€ ]”j¢€ ajÎ€ ]”jÌ€ ajß€ ]”jÝ€ aj ]”j
 aj* ]”j( aj: ]”j8 ajI ]”jG ajà ]”(jÞ j	 ejñ ]”jï aj ‚ ]”jþ aj‚ ]”j‚ aje‚ ]”jc‚ ajŸ‚ ]”j‚ ajë‚ ]”jé‚ ajƒ ]”(jƒ jÒ’ ej%ƒ ]”j#ƒ aj2ƒ ]”(j0ƒ jSK ejFƒ ]”(jDƒ jÙî ejVƒ ]”jTƒ ajsƒ ]”jqƒ aj‚ƒ ]”j€ƒ aj±ƒ ]”j¯ƒ ajéƒ ]”jçƒ ajüƒ ]”júƒ aj„ ]”j„ aj8„ ]”j6„ ajF„ ]”jD„ ajœ„ ]”jš„ aj#… ]”j!… aj1… ]”j/… ajo… ]”jm… aj—… ]”(j•… j–1 ejÖ… ]”jÔ… ajH† ]”(jF† já j)5 jîó ejY† ]”jW† ajh† ]”jf† aj³† ]”j±† ajÃ† ]”jÁ† ajá† ]”jß† ajÿ† ]”jý† aj3‡ ]”j1‡ ajS‡ ]”jQ‡ ajž‡ ]”jœ‡ aj±‡ ]”j¯‡ ajé‡ ]”jç‡ aj9ˆ ]”j7ˆ ajËˆ ]”jÉˆ ajg‰ ]”(je‰ j ej…‰ ]”(jƒ‰ jJø ejÂ‰ ]”jÀ‰ ajý‰ ]”jû‰ aj+Š ]”j)Š aj„Š ]”j‚Š aj–Š ]”(j”Š j•´ jÐñ ej¨Š ]”(j¦Š j$ï jœ\ j ej†‹ ]”j„‹ ajÀ‹ ]”(j¾‹ jÆ¡ ejŒ ]”(jŒ j·
 ejBŒ ]”j@Œ aj_Œ ]”j]Œ aj‘Œ ]”jŒ aj ]”j ajv ]”jt aj‘ ]”j aj  ]”jž ajð ]”(jî j¹R ejŽ ]”jŽ aj[Ž ]”jYŽ ajiŽ ]”jgŽ ajvŽ ]”jtŽ aj£Ž ]”j¡Ž ajÚŽ ]”jØŽ aj ]”j aj8 ]”j6 aj… ]”jƒ aj™ ]”j— ajÆ ]”jÄ ajÚ ]”jØ ajG ]”(jE jä ejY ]”jW aju ]”js aj• ]”(j“ juK ej² ]”j° ajÎ ]”jÌ aj
‘ ]”j‘ aj¡‘ ]”jŸ‘ ají‘ ]”jë‘ aj’ ]”(j
’ jS ejV’ ]”jT’ ajŽ’ ]”jŒ’ ajå’ ]”jã’ ajÈ“ ]”jÆ“ ajá“ ]”jß“ aj” ]”j” aj—” ]”j•” aj²” ]”j°” aj• ]”j• aj3• ]”j1• ajZ• ]”jX• ajŸ• ]”j• ajË• ]”jÉ• ajë• ]”(jé• j( ej.– ]”j,– ajZ– ]”jX– aj¸– ]”j¶– ajÚ– ]”jØ– ajö– ]”jô– ajs— ]”jq— aj"˜ ]”j ˜ ajF˜ ]”jD˜ ajW˜ ]”jU˜ aje˜ ]”(jc˜ ji„ ej˜ ]”jŽ˜ aj»˜ ]”j¹˜ ajÆ˜ ]”jÄ˜ ajg™ ]”je™ ajt™ ]”jr™ aj§™ ]”j¥™ aj¸™ ]”j¶™ ajÉ™ ]”jÇ™ ajç™ ]”jå™ ajš ]”jš aj$š ]”j"š aj@š ]”j>š ajOš ]”jMš aj‹š ]”j‰š aj›š ]”j™š ajÞš ]”jÜš aj
› ]”j› ajo› ]”jm› aj|› ]”jz› ajÃ› ]”jÁ› ajÕ› ]”(jÓ› j¢Ä ej‹œ ]”j‰œ ajÄœ ]”jÂœ ajJ ]”jH ajx ]”jv aj¢ ]”j  ajß ]”jÝ ajù ]”j÷ ajž ]”jž aj1ž ]”j/ž aj_ž ]”j]ž ajpž ]”jnž aj³ž ]”j±ž ajÁž ]”(j¿ž jÌï ejéž ]”(jçž j# ej&Ÿ ]”j$Ÿ ajXŸ ]”jVŸ ajŸ ]”jŽŸ ajÙŸ ]”j×Ÿ aj  ]”j  aj-  ]”j+  ajI  ]”jG  aj}  ]”j{  aj.¡ ]”j,¡ aj;¡ ]”j9¡ ajW¡ ]”jU¡ ajš¡ ]”j˜¡ aj©¡ ]”j§¡ ajS¢ ]”jQ¢ aj¢ ]”j¢ aj™¢ ]”j—¢ ajÑ¢ ]”jÏ¢ ajn£ ]”jl£ aj£ ]”j‹£ aj £ ]”jž£ aj=¤ ]”j;¤ ajs¤ ]”jq¤ aj¤ ]”j¤ aj•¤ ]”j“¤ ajù¤ ]”j÷¤ aj(¥ ]”j&¥ ajR¥ ]”jP¥ aj‰¥ ]”j‡¥ aj½¥ ]”j»¥ ajå¥ ]”jã¥ aj&¦ ]”j$¦ aj3¦ ]”j1¦ ajn¦ ]”jl¦ aj½¦ ]”j»¦ aj§ ]”j§ aj$§ ]”j"§ aj4§ ]”j2§ ajZ§ ]”jX§ ajk§ ]”ji§ ajÃ§ ]”(jÁ§ j ejt¨ ]”jr¨ aj© ]”j© aj·© ]”jµ© ajÆ© ]”jÄ© ajÕ© ]”jÓ© ajë© ]”jé© ajª ]”jª aj@ª ]”(j>ª j¢š ej{ª ]”jyª ajÆª ]”jÄª ajûª ]”jùª aj
« ]”(j« j™³ ej'« ]”j%« aj8« ]”j6« ajb« ]”j`« ajy« ]”jw« aj « ]”jž« aj×« ]”jÕ« ajñ« ]”jï« aj+¬ ]”j)¬ ajj¬ ]”jh¬ aj£¬ ]”j¡¬ ajµ¬ ]”j³¬ ajÈ¬ ]”(jÆ¬ j# ejä¬ ]”jâ¬ ajô¬ ]”jò¬ aj­ ]”j ­ aj­ ]”j­ ajX­ ]”jV­ ajŒ­ ]”jŠ­ aj™­ ]”j—­ aj® ]”j® aj[® ]”jY® aj—® ]”j•® ajÍ® ]”jË® aj5¯ ]”j3¯ ajJ¯ ]”jH¯ aj+° ]”j)° ajU° ]”jS° aj	± ]”j± aj± ]”j± aj9± ]”(j7± j• ejG± ]”jE± aje± ]”(jc± j˜P ej•± ]”j“± ajÍ± ]”jË± ajé± ]”jç± aj² ]”j² aj%² ]”j#² aj7² ]”j5² ajv² ]”jt² aj„² ]”j‚² aj¾² ]”j¼² aj³ ]”j³ aj6³ ]”j4³ ajQ³ ]”jO³ ajp³ ]”jn³ aj}³ ]”j{³ aj”³ ]”j’³ aj´ ]”j´ aj´ ]”j´ aj%´ ]”j#´ aj¶´ ]”j´´ ají´ ]”jë´ ajý´ ]”jû´ ajµ ]”jµ aj8µ ]”j6µ aj‰µ ]”j‡µ aj™µ ]”j—µ aj©µ ]”j§µ ajÃµ ]”jÁµ ajÓµ ]”jÑµ ajæµ ]”jäµ ajýµ ]”jûµ ajO¶ ]”jM¶ aj‡¶ ]”j…¶ aj¥¶ ]”j£¶ ají¶ ]”jë¶ ajû¶ ]”jù¶ aj· ]”j· aj8· ]”j6· ajU· ]”jS· aj · ]”jž· ajÍ· ]”jË· ajÜ· ]”jÚ· ajû· ]”jù· aj¸¸ ]”j¶¸ ajÇ¸ ]”jÅ¸ aj5¹ ]”j3¹ ajb¹ ]”j`¹ ajç¹ ]”jå¹ aj$º ]”j"º ajAº ]”j?º ajmº ]”(jkº jy» ej‹º ]”j‰º aj» ]”j	» aj¾» ]”j¼» aj¼ ]”j¼ aj¼ ]”(j¼ j@¡ ej/¼ ]”j-¼ aj<¼ ]”j:¼ ajI¼ ]”jG¼ ajU¼ ]”jS¼ ajb¼ ]”j`¼ ajw¼ ]”(ju¼ j=3 ejù¼ ]”j÷¼ aj&½ ]”j$½ aja½ ]”j_½ ajö½ ]”jô½ aj1¾ ]”j/¾ ajF¾ ]”jD¾ aju¾ ]”js¾ ajŸ¾ ]”j¾ ajÌ¾ ]”jÊ¾ ajý¾ ]”jû¾ aj¿ ]”j¿ aj8¿ ]”j6¿ ajG¿ ]”jE¿ ajb¿ ]”j`¿ aj…¿ ]”jƒ¿ aj³¿ ]”j±¿ ajÒ¿ ]”jÐ¿ aj.À ]”j,À aj@À ]”j>À ajMÀ ]”jKÀ ajqÀ ]”joÀ ajÀ ]”j‹À ajÀ ]”j›À ajºÀ ]”j¸À ajÚÀ ]”(jØÀ jèP ej Á ]”jþÀ aj"Á ]”j Á ajMÁ ]”jKÁ ajƒÁ ]”jÁ aj¤Á ]”j¢Á aj±Á ]”(j¯Á j*Í ejâÁ ]”jàÁ ajÂ ]”j	Â ajÂ ]”jÂ aj5Â ]”j3Â aj\Â ]”jZÂ ajÒÂ ]”jÐÂ ajòÂ ]”jðÂ ajÿÂ ]”(jýÂ j¢â ejÃ ]”jÃ ajÃ ]”(jÃ jSÂ jµï ejUÃ ]”(jSÃ jØ' ejpÃ ]”jnÃ aj„Ã ]”j‚Ã ajÀÃ ]”(j¾Ã jt× ejïÃ ]”(jíÃ j  ej9Ä ]”j7Ä aj†Ä ]”j„Ä ajýÄ ]”jûÄ ajRÅ ]”jPÅ aj˜Å ]”(j–Å j¤ü ej¥Å ]”j£Å ajîÅ ]”jìÅ ajHÆ ]”(jFÆ j• ejUÆ ]”(jSÆ jî¡ ej£Æ ]”j¡Æ ajÓÆ ]”jÑÆ ajáÆ ]”jßÆ ajóÆ ]”jñÆ ajÇ ]”jÇ ajÇ ]”jÇ aj1È ]”j/È ajVÈ ]”jTÈ ajiÈ ]”jgÈ aj›È ]”j™È ajÁÈ ]”j¿È ajÐÈ ]”(jÎÈ jŒT ejàÈ ]”jÞÈ ajþÈ ]”jüÈ ajwÉ ]”juÉ ajÀÉ ]”j¾É aj±Ê ]”j¯Ê aj¿Ê ]”j½Ê aj>Ë ]”j<Ë ajwË ]”juË ajýË ]”jûË ajÌ ]”jÌ ajMÌ ]”jKÌ ajkÌ ]”jiÌ aj†Ì ]”j„Ì aj¾Ì ]”j¼Ì ajKÍ ]”jIÍ ajmÍ ]”jkÍ aj—Í ]”j•Í aj´Î ]”j²Î ajÅÎ ]”jÃÎ ajäÎ ]”jâÎ ajÏ ]”jÏ ajIÏ ]”jGÏ ajWÏ ]”jUÏ ajgÏ ]”jeÏ aj£Ï ]”j¡Ï ajuÐ ]”jsÐ aj¨Ð ]”j¦Ð ajÈÐ ]”jÆÐ ajîÐ ]”jìÐ ajCÑ ]”jAÑ ajTÑ ]”jRÑ ajÑ ]”j‹Ñ ajŸÑ ]”jÑ aj®Ñ ]”j¬Ñ aj¾Ñ ]”j¼Ñ ajêÑ ]”jèÑ aj÷Ñ ]”jõÑ ajÒ ]”jÒ aj#Ò ]”j!Ò ajdÒ ]”jbÒ ajŸÒ ]”jÒ ajPÓ ]”jNÓ ajÔ ]”jÔ ajBÔ ]”j@Ô ajãÔ ]”jáÔ ajýÔ ]”jûÔ ajÕ ]”(jÕ jÙ¥ ej½Õ ]”j»Õ ajÖ ]”jÖ aj:Ö ]”j8Ö ajFÖ ]”jDÖ ajaÖ ]”(j_Ö j§ ej+× ]”j)× ajP× ]”jN× aj Ø ]”jþ× ajØ ]”(jØ j?¸ ejxØ ]”jvØ ajÀØ ]”j¾Ø ajÐØ ]”jÎØ ajëØ ]”jéØ ajùØ ]”j÷Ø ajkÙ ]”jiÙ aj˜Ù ]”j–Ù ajÌÙ ]”jÊÙ ajÛÙ ]”jÙÙ ajÚ ]”jÚ ajYÚ ]”(jWÚ j ò ejkÚ ]”jiÚ aj€Ú ]”(j~Ú j; jñ ejŽÚ ]”jŒÚ ajÛÚ ]”jÙÚ aj÷Ú ]”(jõÚ j¸‰ ejÛ ]”jÛ ajáÛ ]”(jßÛ j7ý ejðÛ ]”(jîÛ j!È ejNÜ ]”(jLÜ jPÏ ej Ü ]”jžÜ ajËÜ ]”jÉÜ ajÛÜ ]”jÙÜ aj)Ý ]”j'Ý ajSÝ ]”jQÝ ajŒÝ ]”jŠÝ aj™Ý ]”j—Ý aj¨Ý ]”j¦Ý ajNÞ ]”jLÞ aj“Þ ]”j‘Þ ajß ]”(jß j?; ej7ß ]”(j5ß j5í ejŠß ]”jˆß aj›ß ]”j™ß ajÂß ]”jÀß ajûß ]”jùß aj	à ]”jà ajà ]”jà ajJà ]”jHà ajŠà ]”jˆà aj8á ]”j6á ajHá ]”jFá aj¡á ]”(jŸá j ejÊá ]”jÈá ajÚá ]”jØá ajgâ ]”jeâ ajžâ ]”jœâ ajàâ ]”jÞâ aj]ã ]”j[ã aj–ã ]”j”ã ajÞã ]”jÜã ajìã ]”jêã aj*ä ]”j(ä ajå ]”jå aj>å ]”j<å aj¹å ]”j·å ajßå ]”jÝå ajìå ]”jêå ajæ ]”j æ aj1æ ]”j/æ aj]æ ]”j[æ ajŽæ ]”jŒæ ajÉæ ]”jÇæ aj.ç ]”j,ç aj^ç ]”j\ç ajjç ]”jhç aj©ç ]”j§ç ajè ]”jè aj$è ]”j"è aj?è ]”j=è ajpè ]”jnè aj}è ]”j{è ajªè ]”j¨è aj¶è ]”j´è ajÄè ]”jÂè ajäè ]”jâè ajñè ]”jïè ajé ]”j	é aj5é ]”j3é ajTé ]”jRé ajé ]”jé aj­é ]”j«é ajþé ]”jüé aj,ê ]”j*ê aj=ê ]”j;ê ajJê ]”jHê ajxê ]”jvê ajœê ]”jšê ajËê ]”jÉê ajØê ]”jÖê aj÷ê ]”jõê ajë ]”jë aj—ë ]”j•ë aj²ë ]”j°ë ajÞë ]”jÜë ajCì ]”jAì ajTì ]”jRì aj•ì ]”j“ì aj¯ì ]”j­ì ajÌì ]”jÊì ajÙì ]”(j×ì jI1 ejKí ]”(jIí jå ejní ]”jlí ajÂí ]”jÀí ajÏí ]”jÍí aj$î ]”j"î ajMî ]”(jKî j$	 j[ð jp0 ejZî ]”jXî aj}ï ]”j{ï ajÜï ]”jÚï aj	ð ]”jð aj>ð ]”j<ð ajzð ]”jxð aj;ñ ]”j9ñ ajKñ ]”(jIñ j†’ ejeñ ]”(jcñ j.Q ej‘ñ ]”jñ ajò ]”jò aj/ò ]”j-ò aj=ò ]”j;ò ajjò ]”jhò ajªò ]”j¨ò ajñò ]”jïò ajþò ]”jüò ajó ]”j
ó aj>ó ]”(j<ó j¿Ô j€ô ej†ó ]”j„ó ajÎó ]”jÌó aj]ô ]”j[ô aj©õ ]”(j§õ jFª ej·õ ]”jµõ ajÄõ ]”jÂõ aj[ö ]”jYö ajƒö ]”jö aj¤ö ]”j¢ö ajÙö ]”j×ö aj÷ö ]”jõö aj÷ ]”j÷ aj÷ ]”j÷ aj6÷ ]”j4÷ ajx÷ ]”jv÷ ajÉ÷ ]”jÇ÷ aj×÷ ]”jÕ÷ aj+ø ]”j)ø aj¶ø ]”(j´ø jÐŸ ejÃø ]”jÁø ajáø ]”jßø aj&ù ]”j$ù aj5ù ]”j3ù ajbù ]”j`ù aj¤ù ]”j¢ù ajÑù ]”jÏù ajûù ]”jùù aj7ú ]”(j5ú jV8 j£ jò ejRú ]”jPú ajëú ]”jéú ajû ]”jû ajEû ]”jCû aj¥û ]”j£û ajÃû ]”jÁû ajü ]”(jÿû jÑµ ejü ]”jü aj!ü ]”jü ajvü ]”jtü ajü ]”j‹ü ajšü ]”j˜ü ajÅü ]”jÃü ajèü ]”jæü aj>ý ]”j<ý ajPý ]”jNý aj…ý ]”jƒý ajºý ]”j¸ý ajÉý ]”jÇý ajêý ]”(jèý jY ej	þ ]”(jþ j´š ejSþ ]”jQþ ajœþ ]”jšþ aj¯þ ]”j­þ ajäþ ]”jâþ ajóþ ]”jñþ aj	ÿ ]”jÿ ajÿ ]”jÿ ajWÿ ]”jUÿ ajfÿ ]”jdÿ ajÀÿ ]”j¾ÿ ajþÿ ]”(jüÿ j ej  ]”j	  aj'  ]”j%  aj:  ]”j8  ajd  ]”jb  ajr  ]”jp  aj¿  ]”j½  aj8 ]”j6 ajK ]”jI ajt ]”(jr jÎ~ ej” ]”j’ aj£ ]”j¡ ajâ ]”jà ajñ ]”jï aj, ]”(j* j& ej~ ]”j| aj® ]”j¬ ajú ]”jø aj“ ]”j‘ ajÈ ]”jÆ aj÷ ]”jõ ajh ]”jf au(j… ]”jƒ ajÃ ]”jÁ ajï ]”jí ajþ ]”jü aj ]”j
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7 ]”j7 aj*7 ]”j(7 ajY7 ]”jW7 aji7 ]”jg7 aj8 ]”j8 aj8 ]”j8 aj°8 ]”j®8 aj&9 ]”j$9 aj89 ]”j69 ajx9 ]”jv9 aj: ]”j: aj@: ]”j>: ajn: ]”jl: aj|; ]”jz; aj‘; ]”j; aj ; ]”jž; ajä; ]”jâ; aj=< ]”j;< ajJ< ]”jH< aj‰< ]”j‡< ajÐ< ]”jÎ< ajß< ]”jÝ< ajü< ]”jú< aj	= ]”j= ajm= ]”jk= aj}= ]”j{= ajŸ= ]”j= aj÷= ]”jõ= aj> ]”j> ajQ> ]”jO> ajt> ]”jr> ajÛ> ]”jÙ> aj? ]”j? aj6? ]”j4? ajG? ]”jE? ajT? ]”jR? aj©? ]”j§? aj%@ ]”j#@ ajw@ ]”ju@ aj”@ ]”j’@ ajÍ@ ]”jË@ aj(A ]”j&A ajCA ]”jAA aj·A ]”jµA ajB ]”jB ajEB ]”jCB ajaB ]”(j_B joL ejB ]”j}B ajC ]”jC ajC ]”jC aj=C ]”j;C ajC ]”j‹C ajÅC ]”jÃC ajÖC ]”jÔC ajåC ]”jãC ajýC ]”jûC aj{D ]”jyD ajêD ]”jèD ajIE ]”jGE ajXE ]”jVE aj…E ]”jƒE aj®E ]”j¬E ajPF ]”jNF ajÞF ]”jÜF ajúF ]”jøF aj9G ]”j7G ajqG ]”joG ajˆG ]”j†G aj¾G ]”j¼G ajéG ]”jçG aj.H ]”j,H aj”H ]”j’H ajÅH ]”jÃH ajãH ]”jáH ajòH ]”jðH aj I ]”jI aj.I ]”j,I ajeI ]”jcI aj”I ]”j’I aj¯I ]”j­I ajÊI ]”jÈI ajöI ]”jôI aj"J ]”j J aj@J ]”j>J ajOJ ]”jMJ aj²J ]”j°J ajÅJ ]”jÃJ ajÕJ ]”jÓJ ajõJ ]”jóJ ajK ]”jK aj$K ]”j"K aj2K ]”j0K aj]K ]”j[K aj“K ]”j‘K ajÖK ]”jÔK ajL ]”jL aj5L ]”j3L ajÌL ]”jÊL ajóL ]”jñL ajMM ]”jKM ajhM ]”jfM aj‚M ]”j€M aj°M ]”j®M aj¾M ]”j¼M ajñM ]”jïM ajN ]”jN ajÏN ]”jÍN ajÝN ]”jÛN ajO ]”jO aj3O ]”j1O aj	P ]”jP aj(P ]”j&P aj@P ]”j>P ajíP ]”jëP ajfQ ]”jdQ ajÀQ ]”j¾Q ajÍQ ]”jËQ ajéQ ]”jçQ aj€R ]”j~R ajˆS ]”j†S aj#T ]”j!T ajšT ]”j˜T aj¾T ]”j¼T ajÐT ]”jÎT ajãT ]”jáT ajðT ]”jîT ajÙU ]”j×U auŒ_track_features_index”jV jV …”R”(jz ]”jm aj˜ ]”jŒ aj¶ ]”jª ajÔ ]”jÈ ajÇ	 ]”(j»	 j6¬ jÛ: jÊ ej—¤ ]”j¤ ajŒ ]”(jæ‹ jš[ euŒ_etag”Œ$W/"f99cb34df29097b4cbb43da9102fc922"”Œ_mod”ŒFri, 16 Jun 2023 10:58:51 GMT”Œ_cache_control”Œpublic, max-age=1200”Œ_url”hŒ_add_pip”ˆŒ_pickle_version”KŒ	_schannel”hŒrepodata_version”K u.