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$NHD$0HT$PHD$(Ht$HH|$@HELt$PL-LM H=U>W1LHAIۦMLd$HHMI $HD$HLd$PHD$PH HD$XdH+%(| HhL[]A\A]A^A_LL'IMHD$0IML|$8ILIHD$8LH HfHElHH|$8LLE'IHD$(H HD$8H Ld$0I $bLrTDL_HD$8@IT$BLr M|$H=<ZLLAI(MIMLt$((I $HD$8LԢ¢DH2HD$(HHf.Hf2HD$(IfDZDHyLH8]Ld$(MH_E11ATHD$L5oI $MIMHl$8Ht HMH|$LDE1CHF8fH=H H5 vHH\$(HH^^ARL5HD$Hl$8{fbHuHVH5:H8ơfDIMAdHMLd$(H]Ll$01L5jHD$MHuHH5w:H8VfDHD$HHMu)fHLd$HMfHi]AL5HD$fLo@f0HD$0I#fDH=H@HD$fL+fLfHfLQfHLH8AVfLHD$8wfjHfHuHH59H8fDIHD$8A11E1HD$(I $T$L)T$E1HD$(AzH[L5DDHD$8HLHD$@HT$8Ht$0H|$(+6HD$8Ll$0Ld$(HHD$L1LHHHELMHL$H=7ҝHL$mHL$1HHAILMHL$HM|H [ML;=@L;=@u L;=!cI@Mt I $Mt IMHL$HtHHD$HHHT$PHt$HH|$@]L%I$DH HHSH9DHXHH~H~1H;LHH9uHIHH5=HRH81lA1H|$(HHLd$0Ll$8T$T$Hf.HL$HHL$lLd$(Ll$0AHT$PHt$HH|$@;GfDLl$8HD$(AHD$0M)IMT$LT$ DHfHuH֚H5g5H8FfDIMHD$8ALDHiLI@LǝIAfLA171HL$8Ld$0Ll$8fHD$(MfH`fLߚ2fLϚfLAHH5RH8fDE1YH TH=HW;fDLWf.1LHHD$HIHM~kL@f.HL$Hu HH53H8aHL$@E1LLE1E1HT$AHD$(HD$0HD$8#ADADHL$H1HHL$I*L?HHH9!HuH; AACLژL̘+HH'bool''char''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''float''double''long double'a structPython objecta pointera stringunparseable format string'complex long double''complex double''complex float'at leastat mostexactly__pyx_capi__name__loader__loader__file__origin__package__parent__path__submodule_search_locationsco_argcountco_posonlyargcountco_kwonlyargcountco_nlocalsco_stacksizeco_flagsco_codeco_constsco_namesco_varnamesco_freevarsco_cellvarsco_linetablereplaceMissing type objectname '%U' is not definedcannot import name %Sintan integer is required%s (%s:%d)stringsourceView.MemoryView.Enum.__init__View.MemoryView._errView.MemoryView._err_dimView.MemoryView._err_extentsDimension %d is not directIndex out of bounds (axis %d)View.MemoryView._unellipsifyView.MemoryView.memview_slicememviewsliceobjExpected %.16s, got %.200s'NoneType' is not iterable__cinit__shapeformath5py/h5d.pyxdxplh5py.h5d.DatasetID.chunk_iterh5py.h5d._cb_chunk_infochunk_offsetwrite_direct_chunkh5py.h5d.DatasetID.set_extenth5py.h5d.DatasetID.extendh5py.h5d.DatasetID.writemspacefspacearr_objmtypeh5py.h5d.DatasetID.readnumpy._core._multiarray_umathnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is NULL pointer__init__.pxdnumpy.import_array%d.%dbuiltinscython_runtime__builtins__h5py._objectsObjectIDboolcomplexnumpyflatiterbroadcastndarraygenericnumberunsignedintegerinexactcomplexfloatingflexiblecharacterufunch5py.h5tTypeIDTypeArrayIDTypeOpaqueIDTypeStringIDTypeVlenIDTypeTimeIDTypeBitfieldIDTypeReferenceIDTypeAtomicIDTypeIntegerIDTypeFloatIDTypeCompositeIDTypeEnumIDTypeCompoundIDh5py.h5sSpaceIDh5py.h5pPropIDPropClassIDPropInstanceIDPropCreateIDPropCopyIDPropOCIDPropDCIDPropFCIDPropFAIDPropDXIDPropDAIDPropLCIDPropLAIDPropGCIDhid_tH5PY_OBJchar *H5PY_PYTHON_OPAQUE_TAGh5py.defsH5DcreateH5Dcreate_anonhid_t (hid_t, char *, hid_t)H5Dopenhid_t (hid_t)H5Dget_spaceH5Dget_space_statusH5Dget_typeH5Dget_create_plistH5Dget_access_plisthaddr_t (hid_t)H5Dget_offsethsize_t (hid_t)H5Dget_storage_sizeherr_t (hid_t, hsize_t *)H5DextendH5Dset_extentherr_t (hid_t)H5DflushH5DrefreshH5DOwrite_chunkH5Dget_chunk_storage_sizeH5Dread_chunkH5Dget_num_chunksH5Dget_chunk_infoH5Dget_chunk_info_by_coordH5Dchunk_iterH5Scloseint (hid_t)H5Sget_simple_extent_ndimspdefaulth5py.utilsvoid *(size_t)emallocvoid (void *)efreecheck_numpy_readcheck_numpy_writeconvert_tupleconvert_dimstypewrappy_createPyObject *(hid_t)propwraph5py._proxydset_rwgetbuffer(obj, view, flags)init h5py.h5d__pyx_unpickle_Enum__pyx_unpickle__ChunkVisitorh5py.h5d.opendaplh5py.h5d.createtiddcpllcplh5py.h5d.DatasetID.refreshh5py.h5d.DatasetID.flushh5py.h5d.DatasetID.get_offseth5py.h5d.DatasetID.get_typeh5py.h5d.DatasetID.get_spaceread_direct_chunkbuffer dtypeBuffer not C contiguous.__pyx_unpickle_DatasetIDh5py.h5d._memoryviewslicebase__reduce_cython____setstate_cython__h5py.h5d.memoryviewTstridessuboffsetsndimitemsizenbytesis_c_contigis_f_contigcopycopy_fortranh5py.h5d.Enumh5py.h5d.arraymemview__getattr__h5py.h5d._ChunkVisitorh5py.h5d.DatasetIDrankunsigned char_2*" WB:@@@@@@@@@p@@ppp@@@@@@@@@@@@@@@@p@@@p@@@p@ddddddddddddddddddddddddddddUdddddd 4444444444444444444444444444444444444444444444444444t48 $<  D|oWc+4\\)*@)(P*$CCBvBmBdBC=CBBCIJHI IIHIIFIkIAJdOOLKLOmnjxjm}$x}o}f}]}T}}eXx`__pyx_fatalerror00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899Incompatible checksums (0x%x vs (0xb068931, 0x82a3537, 0x6ae9995) = (name))Incompatible checksums (0x%x vs (0x321cf82, 0xf7dfa92, 0xc3007be) = (_dtype, _hash, _pyid, id, locked))unable to allocate shape and strides.numpy._core.umath failed to importnumpy._core.multiarray failed to importno default __reduce__ due to non-trivial __cinit__got differing extents in dimension %d (got %d and %d)chunk_offset, filter_mask, byte_offset, sizeUnable to convert item to objectOut of bounds on buffer access (axis %d)Invalid mode, expected 'c' or 'fortran', got %sIndirect dimensions not supportedIncompatible checksums (0x%x vs (0x6e6c309, 0x9d4a148, 0xc93317b) = (func, rank, retval))Empty shape tuple for cython.arrayCannot create writable memory view from read-only memoryviewCannot assign to read-only memoryviewCan only create a buffer that is contiguous in memory.Buffer view does not expose strides Provides access to the low-level HDF5 "H5D" dataset interface. unable to allocate array data.itemsize <= 0 for cython.arraySPACE_STATUS_PART_ALLOCATED__pyx_unpickle__ChunkVisitorSPACE_STATUS_NOT_ALLOCATEDInvalid shape in axis %d: %d.Cannot index with type '%s') must match dataset rank (get_simple_extent_ndimsget_chunk_info_by_coordFILL_VALUE_USER_DEFINED__pyx_unpickle_DatasetIDget_simple_extent_dimsSPACE_STATUS_ALLOCATEDFILL_VALUE_UNDEFINEDout buffer is only cline_in_tracebackVDS_LAST_AVAILABLEFILL_VALUE_DEFAULTALLOC_TIME_DEFAULT__pyx_unpickle_EnumVDS_FIRST_MISSINGget_storage_sizeget_space_statusget_create_plistget_access_plistNew shape length (ALLOC_TIME_EARLY__setstate_cython____pyx_PickleErrordtype_is_objectallocate_bufferView.MemoryViewFILL_TIME_NEVERFILL_TIME_IFSETFILL_TIME_ALLOCALLOC_TIME_LATEALLOC_TIME_INCRoffsets length (get_num_chunksget_chunk_info bytes required__reduce_cython____pyx_getbufferoffset length (stringsource__pyx_checksumh5py/h5d.pyx_ChunkVisitorfilter_maskcollectionsPickleErrorMemoryErrorImportErrorset_extent__pyx_vtable____pyx_resultnamedtuplememoryviewget_offsetchunk_iterValueErrorIndexErrorCONTIGUOUSwith_phil__reduce_ex____pyx_stateget_spaceenumerateTypeErrorStoreInfoDatasetIDsubarray__setstate____pyx_typeitemsizeh5py.h5d__getstate__get_typeEllipsisrefreshoffsets_objectsmemviewfortranarr_objVIRTUALCOMPACTCHUNKEDupdateunpackstruct__reduce__pickle__name__mspace__import__fspaceformatextendencodecreatewritestartspaceshaperangemtypeindexflushflagserror__enter__dtypecname__class__ bytes, ASCII__test__stopstepsizereadrankphilpackopenndimnamemode__main__lcplfunc__exit__dxpldsid__dict__dcpldatadaplbasetidoutobj__new__locid)dcO%.200s() takes %.8s %zd positional argument%.1s (%zd given)Buffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'memviewslice is already initialized! while calling a Python objectNULL result without error in PyObject_Callinvalid vtable found for imported type%.200s does not export expected C variable %.200sC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C function %.200sC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)Interpreter change detected - this module can only be loaded into one interpreter per process.Unable to initialize pickling for %s%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectUnexpected format string character: '%c'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedAcquisition count is %d (line %d)%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'Big-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringDoes not understand character buffer dtype format string ('%c')Expected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Cannot convert %.200s to %.200sArgument '%.200s' has incorrect type (expected %.200s, got %.200s)join() result is too long for a Python string__int__ returned non-int (type %.200s). The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__%.4s__ returned non-%.4s (type %.200s)calling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseException'%.200s' object is not subscriptablecannot fit '%.200s' into an index-sized integercan't convert negative value to hsize_tcan't convert negative value to size_tcan't convert negative value to unsigned charvalue too large to convert to unsigned charcan't convert negative value to uint32_tvalue too large to convert to uint32_tvalue too large to convert to int/home/conda/feedstock_root/build_artifacts/h5py_1715967907177/work/h5py/h5d.cView.MemoryView.memoryview.itemsize.__get__View.MemoryView.memoryview.ndim.__get__View.MemoryView.get_slice_from_memviewView.MemoryView.memoryview.is_f_contigView.MemoryView.memoryview.is_c_contigView.MemoryView.array.memview.__get__'NoneType' object is not subscriptablehasattr(): attribute name must be stringView.MemoryView.__pyx_unpickle_Enum__set_statePyObject_GetBuffer: view==NULL argument is obsoleteView.MemoryView.memoryview.__getbuffer__View.MemoryView.array.__getbuffer__h5py.h5d.__pyx_unpickle__ChunkVisitor__set_stateView.MemoryView.memoryview.size.__get__View.MemoryView.memoryview.nbytes.__get__View.MemoryView.memoryview.suboffsets.__get__View.MemoryView.memoryview.strides.__get__View.MemoryView.memoryview.shape.__get__View.MemoryView.memoryview_fromsliceView.MemoryView.memoryview_copy_from_sliceCannot transpose memoryview with indirect dimensionsView.MemoryView.transpose_memsliceView.MemoryView.memoryview_copyView.MemoryView.memoryview.T.__get__View.MemoryView.memoryview_cwrapperView.MemoryView.copy_data_to_tempView.MemoryView.memoryview_copy_contentsStep may not be zero (axis %d)All dimensions preceding dimension %d must be indexed and not slicedView.MemoryView.slice_memviewsliceView.MemoryView.memoryview.__str__too many values to unpack (expected %zd)need more than %zd value%.1s to unpack'NoneType' object is not iterableView.MemoryView.memoryview.__setitem__Subscript deletion not supported by %.200slocal variable '%s' referenced before assignmentView.MemoryView.memoryview.__getitem__View.MemoryView.memoryview.__repr__View.MemoryView.memoryview.assign_item_from_objectView.MemoryView._memoryviewslice.assign_item_from_objectView.MemoryView.memoryview.setitem_indexedView.MemoryView.assert_direct_dimensionsView.MemoryView.memoryview.setitem_slice_assign_scalarView.MemoryView.memoryview.setitem_slice_assignmentView.MemoryView.memoryview.is_sliceView.MemoryView.memoryview.get_item_pointerinteger division or modulo by zerovalue too large to perform divisionView.MemoryView.pybuffer_indexView.MemoryView.Enum.__setstate_cython__View.MemoryView.Enum.__reduce_cython__View.MemoryView.array.__cinit__Argument '%.200s' must not be Noneobject of type 'NoneType' has no len()expected bytes, NoneType foundView.MemoryView.array.__getattr__View.MemoryView.array.__setitem__View.MemoryView.array.__getitem__View.MemoryView.array.get_memviewh5py.h5d._ChunkVisitor.__init__h5py.h5d._ChunkVisitor.__setstate_cython__h5py.h5d._ChunkVisitor.__reduce_cython__h5py.h5d.DatasetID.shape.__get__h5py.h5d.DatasetID.dtype.__get__h5py.h5d.DatasetID.__reduce_cython__h5py.h5d.DatasetID.get_chunk_info_by_coordh5py.h5d.DatasetID.get_num_chunksh5py.h5d.DatasetID.write_direct_chunk_ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule was compiled against NumPy C-API version 0x%x (NumPy 1.16) but the running NumPy has C-API version 0x%x. Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem.FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimeModule 'h5d' has already been imported. Re-initialisation is not supported.compiletime version %s of module '%.100s' does not match runtime version %shid_t (hid_t, char *, hid_t, hid_t, hid_t, hid_t, hid_t)hid_t (hid_t, hid_t, hid_t, hid_t, hid_t)herr_t (hid_t, H5D_space_status_t *)herr_t (hid_t, hid_t, uint32_t, hsize_t const *, size_t, void const *)herr_t (hid_t, hsize_t const *, hsize_t *)herr_t (hid_t, hid_t, hsize_t const *, uint32_t *, void *)herr_t (hid_t, hid_t, hsize_t *)herr_t (hid_t, hid_t, hsize_t, hsize_t *, unsigned int *, haddr_t *, hsize_t *)herr_t (hid_t, hsize_t const *, unsigned int *, haddr_t *, hsize_t *)herr_t (hid_t, hid_t, H5D_chunk_iter_op_t, void *)hid_t (struct __pyx_obj_4h5py_8_objects_ObjectID *)int (PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_4h5py_5utils_check_numpy_read *__pyx_optional_args)int (PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_4h5py_5utils_check_numpy_write *__pyx_optional_args)int (PyObject *, hsize_t *, hsize_t)PyObject *(hsize_t *, hsize_t)struct __pyx_obj_4h5py_3h5t_TypeID *(hid_t, int __pyx_skip_dispatch)struct __pyx_obj_4h5py_3h5t_TypeID *(PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_4h5py_3h5t_py_create *__pyx_optional_args)herr_t (hid_t, hid_t, hid_t, hid_t, hid_t, void *, int)View.MemoryView.__pyx_unpickle_EnumView.MemoryView._memoryviewslice.__setstate_cython__View.MemoryView._memoryviewslice.__reduce_cython__View.MemoryView.memoryview.__setstate_cython__View.MemoryView.memoryview.__reduce_cython__View.MemoryView.memoryview.__cinit__Cannot copy memoryview slice with indirect dimensions (axis %d)View.MemoryView.array_cwrapperView.MemoryView.memoryview.copy_fortranView.MemoryView.memoryview.copyView.MemoryView.array.__setstate_cython__View.MemoryView.array.__reduce_cython__h5py.h5d.__pyx_unpickle__ChunkVisitorh5py.h5d.DatasetID.get_storage_sizeh5py.h5d.DatasetID.get_access_plisth5py.h5d.DatasetID.get_create_plisth5py.h5d.DatasetID.get_space_statusView.MemoryView.memoryview.convert_item_to_objectView.MemoryView._memoryviewslice.convert_item_to_objecth5py.h5d.DatasetID.get_chunk_infoBuffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zu byte%s) does not match size of '%s' (%zu byte%s)Buffer exposes suboffsets but no stridesBuffer and memoryview are not contiguous in the same dimension.Buffer not compatible with direct access in dimension %d.h5py.h5d.DatasetID.read_direct_chunkh5py.h5d.__pyx_unpickle_DatasetID__set_stateh5py.h5d.DatasetID.__setstate_cython__h5py.h5d.__pyx_unpickle_DatasetIDh5py.h5d.DatasetID.rank.__get__Internal class for passing memoryview slices to Python Represents an HDF5 dataset identifier. Objects of this class may be used in any HDF5 function which expects a dataset identifier. Also, all H5D* functions which take a dataset instance as their first argument are presented as methods of this class. Properties: dtype: Numpy dtype representing the dataset type shape: Numpy-style shape tuple representing the dataspace rank: Integer giving dataset rank * Hashable: Yes, unless anonymous * Equality: True HDF5 identity if unless anonymous Numpy dtype object representing the dataset type Numpy-style shape tuple representing the dataspace Integer giving the dataset rank (0 = scalar) @?;4  4H04 4 4 ,5 $6d 7 7 8L ,9h < 7= ,?l C ]JJ*N+ʓ<3`tД@@`$З\pppP$<`М00  P0 h P @ P$Hp8@Tl(`0@pd@`0 l@  `DdPp t0 @x 0LPp``0l`(Px pL0@$`  \ L,0hp2@ FT X!0[x!^!f("@gL"g"l"t,#Pyx# #Ё#P0$`$p$$Л%X%%%P&pp&@&@ '\'0'`(P(@((@T)) ) d*\+++,p@,P p,0%,p%,+@--x---`/-p/-P0 .01<.`;.@.`IT/It/J/J/K/`K/K0 L80LT0N0W0W1pep12x2@2p2zRx $-FJ w?;*3$"D-\(p$ ,d$4EBDD a GBL AAB (4 4eBDD E GBH AABXllh dzА4-]AA iABEP HDh D `AD { AG  $)Dd 8 AI  AA PX4KAD G0  AABF   FABK xH0HpDnBBB B(D0D8G` 8A0A(B BBBE PhBAA q ABH D ABI H HBN Q DBI (AAG b CAA 4<BHA [ ABG ABPt`BAA D0o  DABB   AABA   AABI <)AD h AJ F AA J AM G AH <)AD h AJ F AA J AM G AH Hܿ D } AE lDAD y AA ,AG0 DK a AF (cAD } AE  AH <AD A AI G AH V AI G AC 8,(BBA D(D0A (A ABBD Lh|dBBE E(A0C8F 8A0A(B BBBF LD S I kLD S I k(uAa F \ D  A $$PAJ> AF $LAJ? AE Lt |BBB A(D0G@Y 0A(A BBBE {HgPIHF@PDD O E k`#BBB B(A0A8DP 8D0A(B BBBA z 8C0A(B BBBJ 8HLBBA A(D0 (A ABBD L |BBA A(D0 (C ABBG  (F ABBB dPBBB B(A0A8DP 8D0A(B BBBF  8C0A(B BBBF H<BBB B(A0A8DPT 8D0A(B BBBA D3BHD a ABF M ABH | ABA LBBA A(G@ (A ABBB  (C ABBA 8 [BBA A(D@ (A ABBH 8\gBBA A(I@ (A ABBA HBBB B(A0A8D`) 8D0A(B BBBD $D ` I F kH BBB B(A0D8G@H 8F0A(B BBBE \X|$BBB B(A0A8D@ 8C0A(B BBBK D8F0A(B BBB(LADGx DAG `0BBE A(G0 (D BBBD b (D BBBD  (D BBBG HHBBB B(D0C8G@\ 8F0A(B BBBG :BBG B(D0A8G 8A0A(B BBBF GVAG]AGtBH BEB E(D0D8GPp 8A0A(B BBBI PdBAA D0  AABD w  AABE e  CABE H BBB B(A0D8Dp 8D0A(B BBBH HBBB E(A0A8DP@ 8C0A(B BBBC P4&!BGE E(A0A8GBEEDDDIVBBBBBAIS 8D0A(B BBBF Qt7oIBB A(A0 (A BBBE G (A BBBJ U (A BBBD ] (A BBBD `t9HBBD A(D@t (A ABBI  (C ABBE m (A ABBE H<*BBB G(A0D8IP" 8D0A(B BBBF $DDi C C E 4HDADG v AAD i CAK LDEBBE B(D0G8G 8A0A(B BBBD TI5BBE E(A0A8J4}n 8A0A(B BBBE H(PCBBB B(A0D8G 8D0A(B BBBF HtUBBB E(D0A8D`A 8D0A(B BBBF T]Dv F s E H]yBBB B(I0A8DPn 8D0A(B BBBG X,c BBE B(A0D8DHcF{ 8D0A(B BBBG @u ADD0f AAG W AAG ~ CAF v4vIBDD R ABA [GB8vBAA O CBH v FBB @T`wADD0_ AAF W AAG v CAF \xBBA A(L0 (D ABBF ] (D ABBJ w (D ABBH PyBFB A(D0GP 0A(A BBBB 'Xg`IXFPL h}Dv F s E Hl }BBB B(A0D8DP 8D0A(B BBBG L |BBB B(D0A8D 8A0A(B BBBG L!,\ BBE B(A0A8D 8D0A(B BBBF HX!<BBB B(A0D8D` 8D0A(B BBBG X!-BBB B(A0D8G` 8D0A(B BBBF UhLpWhF`H"Tq BEB E(D0D8Fp 8D0A(B BBBF HL"\BBB B(A0A8Dp 8D0A(B BBBI X"BBB E(A0A8DpxQNxFpw 8A0A(B BBBF X"! BFB E(A0D8GN_Fx 8A0A(B BBBH LP#fBBE B(D0A8G+ 8A0A(B BBBD L#fBBE B(D0A8G+ 8A0A(B BBBD l#$BFE B(A0D8D~HcFPQAm 8A0A(B BBBB l`$tBFE B(A0D8D~HcFPQAm 8A0A(B BBBB 8$CBDA A(Dp0(A ABBH %"EBGB B(A0A8JE8A0A(B BBBPX%<+ BFB A(A0G` 0A(A BBBD ChgpIhF`,%BHA o CBA ,%BHA o CBA , &xBHA o CBA ,<&(BHA o CBA Xl&BBE B(D0A8D`hZpIhF` 8D0A(B BBBD &\:DuX&sBEB E(A0H8GM 8D0A(B BBBH 4<'AJOLA AJ t'08',AAJELN AAB ','BHA o CBA ,(<BHA o CBA P8(+ BFB A(A0G` 0A(A BBBD ChgpIhF`P( 3BFB A(A0G``hZpIhF`m 0D(A BBBD l(BFB B(A0A8GVKA 8D0A(B BBBJ `ZIAP)LD] G cp)4LD] G c)dwD a K x H )tDq K N B c) TDg E c)`TDg E c*TDi C c4*D R J 8P*T^BAA  ABI Q ABD L*xr BDB E(A0F8DR 8D0A(B BBBI *&\DZ B m C l*&~ BBB E(A0A8G{LWFPVA 8D0A(B BBBI l+3RBBB B(A0A8JRIF 8D0A(B BBBE BBBBDBI]O~DPAd ,M BBB B(A0A8DP 8D0A(B BBBA  8C0A(B BBBD t,YDv F s E P,Y+ BFB A(A0G` 0A(A BBBD ChgpIhF`L,|cqBBB B(D0A8D 8D0A(B BBBD 8-` JX  o P p*XJ ooX*oo(oj(CALLABLE func, PropDXID dxpl=None) => Iterate over each chunk and invoke user-supplied "func" callable object. The "func" receives chunk information: logical offset, filter mask, file location, and size. Any not-None return value from "func" ends iteration. Feature requires: HDF5 1.10.10 or any later 1.10 HDF5 1.12.3 or later .. versionadded:: 3.8 (TUPLE chunk_offset) => StoreInfo Retrieve information about a chunk specified by the array address of the chunk’s first element in each dimension. Feature requires: HDF5 1.10.5 .. versionadded:: 3.0 (hsize_t index, SpaceID space=None) => StoreInfo Retrieve storage information about a chunk specified by its index. Feature requires: HDF5 1.10.5 .. versionadded:: 3.0 (SpaceID space=None) => INT num_chunks Retrieve the number of chunks that have nonempty intersection with a specified dataspace. Currently, this function only gets the number of all written chunks, regardless of the dataspace. Feature requires: HDF5 1.10.5 .. versionadded:: 3.0 (offsets, PropID dxpl=None, out=None) Reads data to a bytes array directly from a chunk at position specified by the `offsets` argument and bypasses any filters HDF5 would normally apply to the written data. However, the written data may be compressed or not. Returns a tuple containing the `filter_mask` and the raw data storing this chunk as bytes if `out` is None, else as a memoryview. `filter_mask` is a bit field of up to 32 values. It records which filters have been applied to this chunk, of the filter pipeline defined for that dataset. Each bit set to `1` means that the filter in the corresponding position in the pipeline was not applied to compute the raw data. So the default value of `0` means that all defined filters have been applied to the raw data. If the `out` argument is not None, it must be a writeable contiguous 1D array-like of bytes (e.g., `bytearray` or `numpy.ndarray`) and large enough to contain the whole chunk. Feature requires: 1.10.2 HDF5 (offsets, data, uint32_t filter_mask=0x00000000, PropID dxpl=None) This function bypasses any filters HDF5 would normally apply to written data. However, calling code may apply filters (e.g. gzip compression) itself before writing the data. `data` is a Python object that implements the Py_buffer interface. In case of a ndarray the shape and dtype are ignored. It's the user's responsibility to make sure they are compatible with the dataset. `filter_mask` is a bit field of up to 32 values. It records which filters have been applied to this chunk, of the filter pipeline defined for that dataset. Each bit set to `1` means that the filter in the corresponding position in the pipeline was not applied. So the default value of `0` means that all defined filters have been applied to the data before calling this function. no return Refreshes all buffers associated with a dataset. This function causes all buffers associated with a dataset to be cleared and immediately re-loaded with updated contents from disk. This function essentially closes the dataset, evicts all metadata associated with it from the cache, and then re-opens the dataset. The reopened dataset is automatically re-registered with the same ID. Use this in SWMR read mode to poll for dataset changes. Feature requires: 1.9.178 HDF5 no return Flushes all buffers associated with a dataset to disk. This function causes all buffers associated with a dataset to be immediately flushed to disk without removing the data from the cache. Use this in SWMR write mode to allow readers to be updated with the dataset changes. Feature requires: 1.9.178 HDF5 () => LONG storage_size Report the size of storage, in bytes, that is allocated in the file for the dataset's raw data. The reported amount is the storage allocated in the written file, which will typically differ from the space required to hold a dataset in working memory (any associated HDF5 metadata is excluded). For contiguous datasets, the returned size equals the current allocated size of the raw data. For unfiltered chunked datasets, the returned size is the number of allocated chunks times the chunk size. For filtered chunked datasets, the returned size is the space required to store the filtered data. () => LONG offset or None Get the offset of this dataset in the file, in bytes, or None if it doesn't have one. This is always the case for datasets which use chunked storage, compact datasets, and datasets for which space has not yet been allocated in the file. () => PropDAID Create an return a new copy of the dataset access property list. () => PropDCID Create an return a new copy of the dataset creation property list used when this dataset was created. () => TypeID Create and return a new copy of the datatype for this dataset. () => INT space_status_code Determine if space has been allocated for a dataset. Return value is one of: * SPACE_STATUS_NOT_ALLOCATED * SPACE_STATUS_PART_ALLOCATED * SPACE_STATUS_ALLOCATED () => SpaceID Create and return a new copy of the dataspace for this dataset. (TUPLE shape) Set the size of the dataspace to match the given shape. If the new size is larger in any dimension, it must be compatible with the maximum dataspace size. (TUPLE shape) Extend the given dataset so it's at least as big as "shape". Note that a dataset may only be extended up to the maximum dimensions of its dataspace, which are fixed when the dataset is created. (SpaceID mspace, SpaceID fspace, NDARRAY arr_obj, TypeID mtype=None, PropDXID dxpl=None) Write data from a Numpy array to an HDF5 dataset. Keyword dxpl may be a dataset transfer property list. It is your responsibility to ensure that the memory dataspace provided is compatible with the shape of the Numpy array. Since a wide variety of dataspace configurations are possible, this is not checked. You can easily crash Python by writing data from too large a dataspace. If a memory datatype is not specified, one will be auto-created based on the array's dtype. The provided Numpy array must be C-contiguous. If this is not the case, ValueError will be raised and the read will fail. (SpaceID mspace, SpaceID fspace, NDARRAY arr_obj, TypeID mtype=None, PropDXID dxpl=None) Read data from an HDF5 dataset into a Numpy array. It is your responsibility to ensure that the memory dataspace provided is compatible with the shape of the Numpy array. Since a wide variety of dataspace configurations are possible, this is not checked. You can easily crash Python by reading in data from too large a dataspace. If a memory datatype is not specified, one will be auto-created based on the array's dtype. The provided Numpy array must be writable and C-contiguous. If this is not the case, ValueError will be raised and the read will fail. Keyword dxpl may be a dataset transfer property list. (ObjectID loc, STRING name, PropID dapl=None) => DatasetID Open an existing dataset attached to a group or file object, by name. If specified, dapl may be a dataset access property list. (objectID loc, STRING name or None, TypeID tid, SpaceID space, PropDCID dcpl=None, PropID lcpl=None) => DatasetID Create a new dataset. If "name" is None, the dataset will be anonymous. ((88xxH@8  @80(p #$""@! 7@&=PP ! @" #`P@  `Zx`hpLh0! ` "X0P0H  @80(=$ )  p! ! ! `!p" ! 07$ "$x# ;$x;$p! h -`h# XPP`#Hp  @80#(9$  $$$# #Z###P# ! D## "`  >#8#"x"x""x#pph`XPPH! @P80! (0 0"  " 6" @  4$" 2#" #0$#   p"#",#p#x" p  h#`($X3P`(H #@$8`" 0 (X" #$0##"0    p! ! 0 &###" xp`!hP"`  X! PH #@#8#0#(# #`!  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