# This file created by conda-build 3.23.3
# meta.yaml template originally from:
# /home/conda/recipe_root, last modified Thu Feb 23 08:30:15 2023
# ------------------------------------------------

package:
  name: scipy
  version: 1.10.1
source:
  - sha256: 8f08e1742c9b09eb58640fa5a56031d6e1844806899e883fbe7447ca86fe8c55
    url: https://github.com/scipy/scipy/archive/refs/tags/v1.10.1.tar.gz
  - folder: scipy/_lib/boost
    git_rev: 3af99e6d566043072e95bc882d32c9c26f37e0ba
    git_url: https://github.com/scipy/boost-headers-only.git
  - folder: scipy/_lib/highs
    git_rev: 4a122958a82e67e725d08153e099efe4dad099a2
    git_url: https://github.com/scipy/highs.git
  - folder: scipy/_lib/unuran
    git_rev: a63d39160e5ecc4402e7ed0e8417f4c3ff9634cb
    git_url: https://github.com/scipy/unuran.git
  - folder: scipy/sparse/linalg/_propack/PROPACK
    git_rev: cc32f3ba6cf941e4f9f96d96e2fc5762ea0c1014
    git_url: https://github.com/scipy/PROPACK.git
build:
  number: '0'
  string: py310h8deb116_0
requirements:
  build:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 2_gnu
    - binutils_impl_linux-64 2.39 he00db2b_1
    - binutils_linux-64 2.39 h5fc0e48_11
    - gcc_impl_linux-64 11.3.0 hab1b70f_19
    - gcc_linux-64 11.3.0 he6f903b_11
    - gfortran_impl_linux-64 11.3.0 he34c6f7_19
    - gfortran_linux-64 11.3.0 h3c55166_11
    - gxx_impl_linux-64 11.3.0 hab1b70f_19
    - gxx_linux-64 11.3.0 hc203a17_11
    - kernel-headers_linux-64 2.6.32 he073ed8_15
    - ld_impl_linux-64 2.39 hcc3a1bd_1
    - libgcc-devel_linux-64 11.3.0 h210ce93_19
    - libgcc-ng 12.2.0 h65d4601_19
    - libgfortran5 12.2.0 h337968e_19
    - libgomp 12.2.0 h65d4601_19
    - libsanitizer 11.3.0 h239ccf8_19
    - libstdcxx-devel_linux-64 11.3.0 h210ce93_19
    - libstdcxx-ng 12.2.0 h46fd767_19
    - sysroot_linux-64 2.12 he073ed8_15
  host:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 2_gnu
    - beniget 0.4.1 pyhd8ed1ab_0
    - binutils_impl_linux-64 2.39 he00db2b_1
    - binutils_linux-64 2.39 h5fc0e48_11
    - bzip2 1.0.8 h7f98852_4
    - ca-certificates 2022.12.7 ha878542_0
    - cython 0.29.33 py310heca2aa9_0
    - decorator 5.1.1 pyhd8ed1ab_0
    - gast 0.5.3 pyhd8ed1ab_0
    - gcc_impl_linux-64 11.3.0 hab1b70f_19
    - gcc_linux-64 11.3.0 he6f903b_11
    - gxx_impl_linux-64 11.3.0 hab1b70f_19
    - gxx_linux-64 11.3.0 hc203a17_11
    - kernel-headers_linux-64 2.6.32 he073ed8_15
    - ld_impl_linux-64 2.39 hcc3a1bd_1
    - libblas 3.9.0 5_h92ddd45_netlib
    - libcblas 3.9.0 5_h92ddd45_netlib
    - libffi 3.4.2 h7f98852_5
    - libgcc-devel_linux-64 11.3.0 h210ce93_19
    - libgcc-ng 12.2.0 h65d4601_19
    - libgfortran-ng 12.2.0 h69a702a_19
    - libgfortran5 12.2.0 h337968e_19
    - libgomp 12.2.0 h65d4601_19
    - liblapack 3.9.0 5_h92ddd45_netlib
    - libnsl 2.0.0 h7f98852_0
    - libsanitizer 11.3.0 h239ccf8_19
    - libsqlite 3.40.0 h753d276_0
    - libstdcxx-devel_linux-64 11.3.0 h210ce93_19
    - libstdcxx-ng 12.2.0 h46fd767_19
    - libuuid 2.32.1 h7f98852_1000
    - libzlib 1.2.13 h166bdaf_4
    - ncurses 6.3 h27087fc_1
    - numpy 1.21.6 py310h45f3432_0
    - openssl 3.0.8 h0b41bf4_0
    - pip 23.0.1 pyhd8ed1ab_0
    - ply 3.11 py_1
    - pybind11 2.10.3 py310hdf3cbec_0
    - pybind11-global 2.10.3 py310hdf3cbec_0
    - python 3.10.9 he550d4f_0_cpython
    - python_abi 3.10 3_cp310
    - pythran 0.12.1 py310h5a539fb_0
    - readline 8.1.2 h0f457ee_0
    - setuptools 59.8.0 py310hff52083_1
    - sysroot_linux-64 2.12 he073ed8_15
    - tk 8.6.12 h27826a3_0
    - tzdata 2022g h191b570_0
    - wheel 0.38.4 pyhd8ed1ab_0
    - xsimd 8.0.5 h4bd325d_0
    - xz 5.2.6 h166bdaf_0
  run:
    - libblas >=3.9.0,<4.0a0
    - libcblas >=3.9.0,<4.0a0
    - libgcc-ng >=12
    - libgfortran-ng
    - libgfortran5 >=11.3.0
    - liblapack >=3.9.0,<4.0a0
    - libstdcxx-ng >=12
    - numpy >=1.21.6,<1.27
    - numpy >=1.21.6,<2.0a0
    - pooch
    - python >=3.10,<3.11.0a0
    - python_abi 3.10.* *_cp310
test:
  commands:
    - python -c "import numpy; numpy.show_config()"
    - python -c "import scipy, sys; sys.exit(not scipy.test(verbose=1, label='full',
      tests=None, extra_argv=['-k', 'not (_not_a_real_test or test_x0_equals_Mb[bicgstab]
      or test_failure_to_run_iterations)', '-nauto', '--timeout=1200', '--durations=50']))"
  imports:
    - scipy
    - scipy.cluster
    - scipy.cluster.hierarchy
    - scipy.cluster.vq
    - scipy.constants
    - scipy.datasets
    - scipy.fft
    - scipy.fftpack
    - scipy.integrate
    - scipy.interpolate
    - scipy.io
    - scipy.io.arff
    - scipy.io.matlab
    - scipy.io.wavfile
    - scipy.linalg
    - scipy.linalg.blas
    - scipy.linalg.cython_blas
    - scipy.linalg.cython_lapack
    - scipy.linalg.interpolative
    - scipy.linalg.lapack
    - scipy.misc
    - scipy.ndimage
    - scipy.odr
    - scipy.optimize
    - scipy.signal
    - scipy.signal.windows
    - scipy.sparse
    - scipy.sparse.csgraph
    - scipy.sparse.linalg
    - scipy.spatial
    - scipy.spatial.distance
    - scipy.spatial.transform
    - scipy.special
    - scipy.stats
    - scipy.stats.contingency
    - scipy.stats.distributions
    - scipy.stats.mstats
    - scipy.stats.qmc
    - scipy.stats.sampling
  requires:
    - mpmath
    - pytest
    - pytest-timeout
    - pytest-xdist
about:
  description: 'SciPy is a Python-based ecosystem of open-source software for mathematics,

    science, and engineering.

    '
  dev_url: https://github.com/scipy/scipy
  doc_url: http://www.scipy.org/docs.html
  home: http://www.scipy.org/
  license: BSD-3-Clause
  license_file: LICENSE.txt
  summary: Scientific Library for Python
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - h-vetinari
    - jakirkham
    - msarahan
    - ocefpaf
    - rgommers