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Functions17,008 in github.com/numpy/numpy

⨍ Functions 17,008◇ Types & classes 2,137↳ Endpoints 358
↓ 2 callersFunctioncgebrd_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:975
↓ 2 callersFunctioncgelqf_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:2457
↓ 2 callersFunctioncgeqrf_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:3557
↓ 2 callersFunctioncheck_callers
numpy/core/src/multiarray/temp_elide.c:112
↓ 2 callersMethodcheck_canonical
Check most properties relevant to "canonical" versions of a dtype, which is mainly native byte order for datatypes supporting this.
numpy/core/tests/test_dtype.py:1160
↓ 2 callersMethodcheck_clump
(self, f)
numpy/ma/tests/test_extras.py:110
↓ 2 callersMethodcheck_complex
(self, *a, **kw)
numpy/core/setup.py:63
↓ 2 callersFunctioncheck_complex_value
(f, x1, y1, x2, y2, exact=True)
numpy/core/tests/test_umath_complex.py:547
↓ 2 callersMethodcheck_count_nonzero
(self, power, length)
numpy/core/tests/test_multiarray.py:1667
↓ 2 callersMethodcheck_dtype
(x, res)
numpy/linalg/tests/test_linalg.py:1239
↓ 2 callersFunctioncheck_funcs_once
( funcs_name, headers=["feature_detection_math.h", "feature_detection_cmath.h"],
numpy/core/setup.py:156
↓ 2 callersMethodcheck_funcs_once
Check a list of functions at once. This is useful to speed up things, since all the functions in the funcs list will be put in one co
numpy/distutils/command/config.py:349
↓ 2 callersMethodcheck_function
(self, t, tname)
numpy/f2py/tests/test_return_character.py:11
↓ 2 callersMethodcheck_function
(self, t, tname)
numpy/f2py/tests/test_return_integer.py:8
↓ 2 callersMethodcheck_function
(self, name)
numpy/f2py/tests/test_callback.py:52
↓ 2 callersMethodcheck_function
(self, t, tname)
numpy/f2py/tests/test_return_complex.py:8
↓ 2 callersMethodcheck_function
(self, t)
numpy/f2py/tests/test_return_logical.py:8
↓ 2 callersMethodcheck_gcc_function_attribute
(self, attribute, name)
numpy/distutils/command/config.py:424
↓ 2 callersMethodcheck_header
(self, header, include_dirs=None, library_dirs=None, lang='c')
numpy/distutils/command/config.py:166
↓ 2 callersFunctioncheck_internal_overlap
(a, manual_expected=None)
numpy/core/tests/test_mem_overlap.py:450
↓ 2 callersFunctioncheck_is_convertible_to_scalar
numpy/core/src/multiarray/common.c:444
↓ 2 callersFunctioncheck_may_share_memory_easy_fuzz
(get_max_work, same_steps, min_count)
numpy/core/tests/test_mem_overlap.py:322
↓ 2 callersMethodcheck_promotion_cases
(self, promote_func)
numpy/core/tests/test_numeric.py:738
↓ 2 callersMethodcheck_qr
(self, a)
numpy/linalg/tests/test_linalg.py:1637
↓ 2 callersMethodcheck_types
(self, *a, **kw)
numpy/core/setup.py:55
↓ 2 callersFunctioncheck_ufunc_scalar_equivalence
(op, arr1, arr2)
numpy/core/tests/test_scalarmath.py:84
↓ 2 callersFunctionchemv_
Subroutine */
numpy/linalg/lapack_lite/f2c_blas.c:1816
↓ 2 callersFunctioncherk_
Subroutine */
numpy/linalg/lapack_lite/f2c_blas.c:3298
↓ 2 callersFunctionclaqr4_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:15922
↓ 2 callersFunctionclaqr5_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:16703
↓ 2 callersFunctionclassq_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:21049
↓ 2 callersFunctionclaswp_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:21162
↓ 2 callersMethodclean_path
(self, path)
tools/c_coverage/c_coverage_report.py:92
↓ 2 callersFunctioncmp_arg_types
return 1 if arg1 > arg2, 0 if arg1 == arg2, and -1 if arg1 < arg2 */
numpy/core/src/umath/ufunc_object.c:5358
↓ 2 callersFunctioncombine_paths
Return a list of existing paths composed by all combinations of items from arguments.
numpy/distutils/system_info.py:3175
↓ 2 callersFunctioncommand_by_line
(cmd, successful_status=(0,), stacklevel=1)
numpy/distutils/cpuinfo.py:46
↓ 2 callersFunctioncommand_info
(successful_status=(0,), stacklevel=1, **kw)
numpy/distutils/cpuinfo.py:37
↓ 2 callersFunctioncompress_nd
Suppress slices from multiple dimensions which contain masked values. Parameters ---------- x : array_like, MaskedArray The array
numpy/ma/extras.py:823
↓ 2 callersFunctioncompute_min_run
numpy/core/src/npysort/timsort.cpp:45
↓ 2 callersFunctionconfigtest_name
(config)
numpy/distutils/mingw32ccompiler.py:566
↓ 2 callersFunctionconv
(x)
numpy/lib/tests/test_loadtxt.py:475
↓ 2 callersFunctionconv
(astr)
numpy/distutils/from_template.py:105
↓ 2 callersFunctionconvert_datetime_divisor_to_multiple
* Translate divisors into multiples of smaller units. * 'metastr' is used for the error message if the divisor doesn't work, * and can be NULL if th
numpy/core/src/multiarray/datetime.c:949
↓ 2 callersFunctionconvert_datetime_metadata_tuple_to_datetime_metadata
* Converts a metadata tuple into a datetime metadata C struct. * * Returns 0 on success, -1 on failure. */
numpy/core/src/multiarray/datetime.c:1801
↓ 2 callersFunctionconvert_pydatetime_to_datetimestruct
* Tests for and converts a Python datetime.datetime or datetime.date * object into a NumPy npy_datetimestruct. * * While the C API has PyDate_* and
numpy/core/src/multiarray/datetime.c:2111
↓ 2 callersFunctionconvert_pyobject_to_datetime
* Converts a PyObject * into a datetime, in any of the forms supported. * * If the units metadata isn't known ahead of time, set meta->base * to -1
numpy/core/src/multiarray/datetime.c:2373
↓ 2 callersFunctioncopy
***************************************************************************** ** DISPATCHER FUNCS
numpy/linalg/umath_linalg.cpp:779
↓ 2 callersFunctioncopy_and_norm
numpy/fft/_pocketfft.c:1698
↓ 2 callersFunctioncopycast_isaligned
* Check that array data is both uint-aligned and true-aligned for all array * elements, as required by the copy/casting code in lowlevel_strided_loop
numpy/core/src/multiarray/array_assign_array.c:36
↓ 2 callersFunctioncosh
Array API compatible wrapper for :py:func:`np.cosh <numpy.cosh>`. See its docstring for more information.
numpy/array_api/_elementwise_functions.py:266
↓ 2 callersFunctioncost_guess
numpy/fft/_pocketfft.c:237
↓ 2 callersMethodcount
()
numpy/lib/tests/test_io.py:1157
↓ 2 callersFunctioncount_nonzero_int
* Counts the number of True values in a raw boolean array. This * is a low-overhead function which does no heap allocations. * * Returns -1 on erro
numpy/core/src/multiarray/item_selection.c:2585
↓ 2 callersFunctioncrack2fortrangen
(block, tab='\n', as_interface=False)
numpy/f2py/crackfortran.py:3270
↓ 2 callersFunctioncracktypespec0
(typespec, ll)
numpy/f2py/crackfortran.py:1600
↓ 2 callersFunctioncreate_datetime_dtype_with_unit
* Creates a datetime or timedelta dtype using the given unit. */
numpy/core/src/multiarray/datetime.c:678
↓ 2 callersFunctionctrexc_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:25590
↓ 2 callersFunctioncunglq_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:26954
↓ 2 callersFunctioncunmbr_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:27905
↓ 2 callersFunctioncunmhr_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:28245
↓ 2 callersFunctioncunmlq_
Subroutine */
numpy/linalg/lapack_lite/f2c_c_lapack.c:28696
↓ 2 callersFunctioncyg2win32
Convert a path from Cygwin-native to Windows-native. Uses the cygpath utility (part of the Base install) to do the actual conversion. Falls
numpy/distutils/misc_util.py:386
↓ 2 callersMethoddata_as
Return the data pointer cast to a particular c-types object. For example, calling ``self._as_parameter_`` is equivalent to ``
numpy/core/_internal.py:267
↓ 2 callersFunctiondays_to_yearsdays
* Modifies '*days_' to be the day offset within the year, * and returns the year. */
numpy/core/src/multiarray/datetime.c:196
↓ 2 callersFunctiondbdsdc_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:57
↓ 2 callersFunctiondebugcapi
(var)
numpy/f2py/auxfuncs.py:67
↓ 2 callersMethoddefine_from_array_api_string
(self)
numpy/core/code_generators/genapi.py:332
↓ 2 callersMethoddependencies
(self)
numpy/linalg/lapack_lite/make_lite.py:81
↓ 2 callersMethodderiv
Differentiate. Return a series instance of that is the derivative of the current series. Parameters ----------
numpy/polynomial/_polybase.py:886
↓ 2 callersFunctiondestroy_cfftp_plan
numpy/fft/_pocketfft.c:1068
↓ 2 callersFunctiondestroy_fftblue_plan
numpy/fft/_pocketfft.c:1952
↓ 2 callersFunctiondestroy_rfft_plan
numpy/fft/_pocketfft.c:2170
↓ 2 callersFunctiondetermineexprtype
(expr, vars, rules={})
numpy/f2py/crackfortran.py:3225
↓ 2 callersFunctiondgebrd_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:2334
↓ 2 callersFunctiondgelqf_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:3822
↓ 2 callersFunctiondgeqrf_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:4882
↓ 2 callersFunctiondger_
Subroutine */
numpy/linalg/lapack_lite/f2c_blas.c:7493
↓ 2 callersFunctiondiag_indices
Return the indices to access the main diagonal of an array. This returns a tuple of indices that can be used to access the main diagonal
numpy/lib/index_tricks.py:920
↓ 2 callersFunctiondiagflat
Create a two-dimensional array with the flattened input as a diagonal. Parameters ---------- v : array_like Input data, whic
numpy/lib/twodim_base.py:307
↓ 2 callersFunctiondict_append
(d_out, d_in)
numpy/f2py/f2py2e.py:406
↓ 2 callersMethoddist_compile
Wrap CCompiler.compile()
numpy/distutils/ccompiler_opt.py:606
↓ 2 callersMethoddist_error
Raise a compiler error
numpy/distutils/ccompiler_opt.py:680
↓ 2 callersMethoddist_info
Return a tuple containing info about (platform, compiler, extra_args), required by the abstract class '_CCompiler' for discovering th
numpy/distutils/ccompiler_opt.py:642
↓ 2 callersFunctiondivmod_128_64
Long integer divide */
numpy/core/src/common/npy_extint128.h:231
↓ 2 callersFunctiondladiv_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:8527
↓ 2 callersFunctiondlaed4_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:10169
↓ 2 callersFunctiondlaed6_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:11237
↓ 2 callersFunctiondlaed9_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:12371
↓ 2 callersFunctiondlaeda_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:12616
↓ 2 callersFunctiondlaev2_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:12876
↓ 2 callersFunctiondlaqr4_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:19584
↓ 2 callersFunctiondlaqr5_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:20348
↓ 2 callersFunctiondlas2_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:23648
↓ 2 callersFunctiondlasd4_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:25648
↓ 2 callersFunctiondlaswp_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:31935
↓ 2 callersFunctiondo_fio
numpy/linalg/lapack_lite/f2c.c:23
↓ 2 callersFunctiondorglq_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:33956
↓ 2 callersFunctiondormbr_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:34877
↓ 2 callersFunctiondormhr_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:35208
↓ 2 callersFunctiondormlq_
Subroutine */
numpy/linalg/lapack_lite/f2c_d_lapack.c:35639
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