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Functions17,008 in github.com/numpy/numpy

↓ 2 callersFunctionmasked_less
Mask an array where less than a given value. This function is a shortcut to ``masked_where``, with `condition` = (x < value). See A
numpy/ma/core.py:2002
↓ 2 callersFunctionmasked_less_equal
Mask an array where less than or equal to a given value. This function is a shortcut to ``masked_where``, with `condition` = (x <= value
numpy/ma/core.py:2028
↓ 2 callersFunctionmasked_outside
Mask an array outside a given interval. Shortcut to ``masked_where``, where `condition` is True for `x` outside the interval [v1,v2] (x
numpy/ma/core.py:2152
↓ 2 callersFunctionmatmul
Array API compatible wrapper for :py:func:`np.matmul <numpy.matmul>`. See its docstring for more information.
numpy/array_api/linalg.py:150
↓ 2 callersFunctionmin_scalar_type_num
* NOTE: While this is unlikely to be a performance problem, if * it is it could be reverted to a simple positive/negative * check as the
numpy/core/src/multiarray/convert_datatype.c:1289
↓ 2 callersFunctionmingw32
Return true when using mingw32 environment.
numpy/distutils/misc_util.py:423
↓ 2 callersFunctionmock_broadcast_to
(array, shape, subok=False)
benchmarks/benchmarks/bench_overrides.py:20
↓ 2 callersMethodmodule_options
(self, module_dirs, module_build_dir)
numpy/distutils/fcompiler/__init__.py:627
↓ 2 callersFunctionmoveaxis
Move axes of an array to new positions. Other axes remain in their original order. .. versionadded:: 1.11.0 Parameters -------
numpy/core/numeric.py:1394
↓ 2 callersFunctionmsvc_runtime_version
Return version of MSVC runtime library, as defined by __MSC_VER__ macro
numpy/distutils/misc_util.py:433
↓ 2 callersMethodnames
(self)
doc/source/reference/simd/gen_features.py:34
↓ 2 callersMethodncols
tools/swig/test/Farray.cxx:61
↓ 2 callersFunctionndarray_from_pyobj
numpy/f2py/src/fortranobject.c:829
↓ 2 callersFunctionneg_128
Long integer negation */
numpy/core/src/common/npy_extint128.h:173
↓ 2 callersFunctionnew_ccompiler_opt
Create a new instance of 'CCompilerOpt' and generate the dispatch header which contains the #definitions and headers of platform-specific ins
numpy/distutils/ccompiler_opt.py:2648
↓ 2 callersFunctionnpy_PyErr_SetStringChained
numpy/core/src/multiarray/strfuncs.c:16
↓ 2 callersFunctionnpy_PyFile_CloseFile
numpy/core/include/numpy/npy_3kcompat.h:427
↓ 2 callersFunctionnpy_PyFile_Dup2
* Get a FILE* handle to the file represented by the Python object */
numpy/core/include/numpy/npy_3kcompat.h:211
↓ 2 callersFunctionnpy_PyFile_DupClose2
* Close the dup-ed file handle, and seek the Python one to the current position */
numpy/core/include/numpy/npy_3kcompat.h:331
↓ 2 callersFunctionnpy_PyFile_OpenFile
numpy/core/include/numpy/npy_3kcompat.h:416
↓ 2 callersFunctionnpy__cpu_init_features_arm8
numpy/core/src/common/npy_cpu_features.c:661
↓ 2 callersFunctionnpy_amerge_at
numpy/core/src/npysort/timsort.cpp:2549
↓ 2 callersFunctionnpy_bswap8
numpy/core/src/common/lowlevel_strided_loops.h:517
↓ 2 callersFunctionnpy_cpu_init
numpy/core/src/common/npy_cpu_features.c:41
↓ 2 callersFunctionnpy_ctypes_check
* Check if a python type is a ctypes class. * * Works like the Py<type>_Check functions, returning true if the argument * looks like a ctypes objec
numpy/core/src/common/npy_ctypes.h:17
↓ 2 callersFunctionnpy_discover_dtype_from_pytype
* Lookup the DType for a registered known python scalar type. * * @param pytype Python Type to look up * @return DType, None if it is a known non-s
numpy/core/src/multiarray/array_coercion.c:213
↓ 2 callersFunctionnpy_give_promotion_warnings
* Return 1 if promotion warnings should be given and 0 if they are currently * suppressed in the local context. */
numpy/core/src/multiarray/convert_datatype.c:76
↓ 2 callersFunctionnpy_half_le
numpy/core/src/npymath/halffloat.cpp:171
↓ 2 callersFunctionnpy_merge_at
numpy/core/src/npysort/timsort.cpp:2117
↓ 2 callersFunctionnpy_set_floatstatus_invalid
numpy/core/src/npymath/ieee754.cpp:470
↓ 2 callersFunctionnpy_set_floatstatus_overflow
numpy/core/src/npymath/ieee754.cpp:458
↓ 2 callersFunctionnpy_to_generic_with_converter
numpy/core/src/multiarray/textreading/conversions.c:364
↓ 2 callersFunctionnpyiter_coalesce_axes
numpy/core/src/multiarray/nditer_api.c:1679
↓ 2 callersFunctionnpyiter_convert_dtypes
numpy/core/src/multiarray/nditer_pywrap.c:442
↓ 2 callersFunctionnpyiter_convert_ops
* Converts the operand array and op_flags array into the form * NpyIter_AdvancedNew needs. Sets nop, and on success, each * op[i] owns a reference
numpy/core/src/multiarray/nditer_pywrap.c:584
↓ 2 callersFunctionnpyiter_new
numpy/core/src/multiarray/nditer_pywrap.c:86
↓ 2 callersFunctionnpyiter_seq_ass_item
numpy/core/src/multiarray/nditer_pywrap.c:2092
↓ 2 callersFunctionnpyv__mullhi_u64
returns the high 64 bits of unsigned 64-bit multiplication xref https://stackoverflow.com/a/28827013
numpy/core/src/common/simd/avx2/arithmetic.h:164
↓ 2 callersFunctionnpyv__mullhi_u64
returns the high 64 bits of unsigned 64-bit multiplication xref https://stackoverflow.com/a/28827013
numpy/core/src/common/simd/avx512/arithmetic.h:272
↓ 2 callersFunctionnpyv__mullhi_u64
returns the high 64 bits of unsigned 64-bit multiplication xref https://stackoverflow.com/a/28827013
numpy/core/src/common/simd/sse/arithmetic.h:198
↓ 2 callersFunctionnpyv__ptr2u64
avoid aliasing rules
numpy/core/src/common/simd/vec/memory.h:49
↓ 2 callersFunctionnpyv__setr_epi64
numpy/core/src/common/simd/avx2/misc.h:76
↓ 2 callersFunctionnpyv__setr_epi64
numpy/core/src/common/simd/avx512/misc.h:95
↓ 2 callersFunctionnpyv__setr_epi64
numpy/core/src/common/simd/sse/misc.h:71
↓ 2 callersFunctionnpyv_any_b64
numpy/core/src/common/simd/neon/operators.h:301
↓ 2 callersFunctionnpyv_cmpgt_u64
numpy/core/src/common/simd/sse/operators.h:218
↓ 2 callersFunctionnpyv_div_f32
numpy/core/src/common/simd/neon/arithmetic.h:217
↓ 2 callersFunctionnpyv_load_till_s64
/ 64
numpy/core/src/common/simd/vec/memory.h:252
↓ 2 callersFunctionnpyv_load_till_s64
/ 64
numpy/core/src/common/simd/neon/memory.h:208
↓ 2 callersFunctionnpyv_loadn2_f32
/ 64-bit load over 32-bit stride
numpy/core/src/common/simd/avx2/memory.h:101
↓ 2 callersFunctionnpyv_loadn2_f32
/ 64-bit load over 32-bit stride
numpy/core/src/common/simd/sse/memory.h:108
↓ 2 callersFunctionnpyv_loadn2_f64
/ 128-bit load over 64-bit stride
numpy/core/src/common/simd/avx2/memory.h:115
↓ 2 callersFunctionnpyv_loadn2_s32
numpy/core/src/common/simd/vec/memory.h:137
↓ 2 callersFunctionnpyv_loadn2_s32
numpy/core/src/common/simd/neon/memory.h:104
↓ 2 callersFunctionnpyv_loadn2_s32
numpy/core/src/common/simd/sse/memory.h:117
↓ 2 callersFunctionnpyv_loadn2_u32
/ 64-bit load over 32-bit stride
numpy/core/src/common/simd/avx512/memory.h:125
↓ 2 callersFunctionnpyv_loadn2_u32
/ 64-bit load over 32-bit stride
numpy/core/src/common/simd/neon/memory.h:98
↓ 2 callersFunctionnpyv_loadn_f64
/ 64
numpy/core/src/common/simd/avx2/memory.h:87
↓ 2 callersFunctionnpyv_loadn_f64
/ 64
numpy/core/src/common/simd/sse/memory.h:100
↓ 2 callersFunctionnpyv_loadn_s64
numpy/core/src/common/simd/sse/memory.h:104
↓ 2 callersFunctionnpyv_loadn_u32
* Non-contiguous Load ***************************/ / 32
numpy/core/src/common/simd/avx2/memory.h:75
↓ 2 callersFunctionnpyv_loadn_u32
* Non-contiguous Load ***************************/ / 32
numpy/core/src/common/simd/avx512/memory.h:97
↓ 2 callersFunctionnpyv_loadn_u32
numpy/core/src/common/simd/vec/memory.h:113
↓ 2 callersFunctionnpyv_loadn_u64
/ 64
numpy/core/src/common/simd/avx512/memory.h:111
↓ 2 callersFunctionnpyv_lut16_f64
uses vector as indexes into a table that contains 16 elements of float64.
numpy/core/src/common/simd/avx2/memory.h:754
↓ 2 callersFunctionnpyv_lut16_f64
uses vector as indexes into a table that contains 16 elements of float64.
numpy/core/src/common/simd/avx512/memory.h:704
↓ 2 callersFunctionnpyv_lut16_f64
uses vector as indexes into a table that contains 16 elements of float64.
numpy/core/src/common/simd/vec/memory.h:685
↓ 2 callersFunctionnpyv_lut16_f64
uses vector as indexes into a table that contains 16 elements of float64.
numpy/core/src/common/simd/sse/memory.h:744
↓ 2 callersFunctionnpyv_lut16_u64
uses vector as indexes into a table that contains 16 elements of uint64.
numpy/core/src/common/simd/neon/memory.h:662
↓ 2 callersFunctionnpyv_lut32_f32
numpy/core/src/common/simd/avx2/memory.h:745
↓ 2 callersFunctionnpyv_lut32_f32
numpy/core/src/common/simd/avx512/memory.h:691
↓ 2 callersFunctionnpyv_lut32_f32
numpy/core/src/common/simd/sse/memory.h:723
↓ 2 callersFunctionnpyv_lut32_u32
numpy/core/src/common/simd/vec/memory.h:665
↓ 2 callersFunctionnpyv_lut32_u32
* Lookup table *********************************/ uses vector as indexes into a table that contains 32 elements of uint32.
numpy/core/src/common/simd/neon/memory.h:642
↓ 2 callersFunctionnpyv_notnan_f32
numpy/core/src/common/simd/vec/operators.h:271
↓ 2 callersFunctionnpyv_rev64_u32
numpy/core/src/common/simd/vec/reorder.h:179
↓ 2 callersFunctionnpyv_rev64_u8
Reverse elements of each 64-bit lane
numpy/core/src/common/simd/vec/reorder.h:151
↓ 2 callersFunctionnpyv_storen2_u32
/ 64-bit store over 32-bit stride
numpy/core/src/common/simd/avx2/memory.h:162
↓ 2 callersFunctionnpyv_storen2_u32
/ 64-bit store over 32-bit stride
numpy/core/src/common/simd/avx512/memory.h:201
↓ 2 callersFunctionnpyv_storen2_u32
/ 64-bit store over 32-bit stride
numpy/core/src/common/simd/vec/memory.h:180
↓ 2 callersFunctionnpyv_storen2_u32
/ 64-bit store over 32-bit stride
numpy/core/src/common/simd/neon/memory.h:149
↓ 2 callersFunctionnpyv_storen2_u32
/ 64-bit store over 32-bit stride
numpy/core/src/common/simd/sse/memory.h:161
↓ 2 callersFunctionnpyv_storen2_u64
/ 128-bit store over 64-bit stride
numpy/core/src/common/simd/avx2/memory.h:177
↓ 2 callersFunctionnpyv_storen2_u64
/ 128-bit store over 64-bit stride
numpy/core/src/common/simd/avx512/memory.h:224
↓ 2 callersFunctionnpyv_storen_f64
/ 64
numpy/core/src/common/simd/avx2/memory.h:147
↓ 2 callersFunctionnpyv_storen_f64
/ 64
numpy/core/src/common/simd/sse/memory.h:150
↓ 2 callersFunctionnpyv_storen_s32
* Non-contiguous Store ***************************/ / 32
numpy/core/src/common/simd/avx2/memory.h:129
↓ 2 callersFunctionnpyv_storen_s32
* Non-contiguous Store ***************************/ / 32
numpy/core/src/common/simd/neon/memory.h:123
↓ 2 callersFunctionnpyv_storen_s32
* Non-contiguous Store ***************************/ / 32
numpy/core/src/common/simd/sse/memory.h:132
↓ 2 callersFunctionnpyv_storen_u32
* Non-contiguous Store ***************************/ / 32
numpy/core/src/common/simd/avx512/memory.h:173
↓ 2 callersFunctionnpyv_storen_u32
* Non-contiguous Store ***************************/ / 32
numpy/core/src/common/simd/vec/memory.h:155
↓ 2 callersFunctionnpyv_storen_u64
/ 64
numpy/core/src/common/simd/avx512/memory.h:187
↓ 2 callersFunctionnpyv_storen_u64
/ 64
numpy/core/src/common/simd/vec/memory.h:169
↓ 2 callersMethodnrows
Length accessors
tools/swig/test/Farray.cxx:56
↓ 2 callersFunctionnth_byte
numpy/core/src/npysort/radixsort.cpp:43
↓ 2 callersFunctionnulp_diff
For each item in x and y, return the number of representable floating points between them. Parameters ---------- x : array_like
numpy/testing/_private/utils.py:1623
↓ 2 callersFunctionones_like
Return an array of ones with the same shape and type as a given array. Parameters ---------- a : array_like The shape and da
numpy/core/numeric.py:204
↓ 2 callersFunctionouter
maskedarray version of the numpy function.
numpy/ma/core.py:7945
↓ 2 callersFunctionparam_parse
Recursively parse array dimensions. Parses the declaration of an array variable or parameter `dimension` keyword, and is called recursively i
numpy/f2py/crackfortran.py:3062
↓ 2 callersFunctionparse_datetime_extended_unit_from_string
* Converts a substring given by 'str' and 'len' into * a date time unit multiplier + enum value, which are populated * into out_meta. Other metadata
numpy/core/src/multiarray/datetime.c:720
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