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Functions17,008 in github.com/numpy/numpy

↓ 1 callersFunctioninit_gqr_complete
numpy/linalg/umath_linalg.cpp:3580
↓ 1 callersFunctioninit_matplotlib
Check feasibility of matplotlib initialization.
tools/refguide_check.py:1098
↓ 1 callersFunctioninit_potrf
numpy/linalg/umath_linalg.cpp:1900
↓ 1 callersFunctioninit_string_ufuncs
numpy/core/src/umath/string_ufuncs.cpp:241
↓ 1 callersFunctioninit_version
()
numpy/_build_utils/gitversion.py:6
↓ 1 callersFunctioninitialize_and_map_pytypes_to_dtypes
numpy/core/src/multiarray/abstractdtypes.c:84
↓ 1 callersFunctioninitialize_keywords
* Internal function to initialize keyword argument parsing. * * This does a few simple jobs: * * * Check the input for consistency to find coding
numpy/core/src/common/npy_argparse.c:73
↓ 1 callersFunctioninitialize_normal_kwds
* Build a dictionary from the keyword arguments, but replace out with the * normalized version (and always pass it even if it was passed by position)
numpy/core/src/umath/override.c:100
↓ 1 callersFunctioninitialize_static_globals
* Initializes global constants. At some points these need to be cleaned * up, and sometimes we also import them where they are needed. But for * s
numpy/core/src/multiarray/multiarraymodule.c:5028
↓ 1 callersFunctioninitumath
numpy/core/src/umath/umathmodule.c:251
↓ 1 callersFunctioninstall_logical_ufunc_promoter
numpy/core/src/umath/dispatching.c:1214
↓ 1 callersFunctionint_func
(request)
numpy/random/tests/test_randomstate.py:51
↓ 1 callersFunctionint_sequence_to_arrays
* Converts a Python sequence into 'count' PyArrayObjects * * seq - Input Python object, usually a tuple but any sequence works. *
numpy/core/src/multiarray/compiled_base.c:919
↓ 1 callersFunctioninteger_repr
Return the signed-magnitude interpretation of the binary representation of x.
numpy/testing/_private/utils.py:1701
↓ 1 callersFunctionintern_strings
numpy/core/src/multiarray/multiarraymodule.c:4957
↓ 1 callersFunctionintern_strings
intern some strings used in ufuncs, returns 0 on success */
numpy/core/src/umath/umathmodule.c:227
↓ 1 callersFunctioninterp
One-dimensional linear interpolation for monotonically increasing sample points. Returns the one-dimensional piecewise linear interpolant to
numpy/lib/function_base.py:1462
↓ 1 callersFunctionintersect1d
Returns the unique elements common to both arrays. Masked values are considered equal one to the other. The output is always a masked ar
numpy/ma/extras.py:1230
↓ 1 callersFunctionintp_abs
numpy/core/src/multiarray/nditer_constr.c:2271
↓ 1 callersFunctioniparmq_
numpy/linalg/lapack_lite/f2c_lapack.c:1387
↓ 1 callersFunctionirfftn
Computes the inverse of `rfftn`. This function computes the inverse of the N-dimensional discrete Fourier Transform for real input over
numpy/fft/_pocketfft.py:1261
↓ 1 callersFunctionisBlank
(line)
numpy/linalg/lapack_lite/fortran.py:5
↓ 1 callersFunctionisComment
(line)
numpy/linalg/lapack_lite/fortran.py:9
↓ 1 callersFunctionisContinuation
(line)
numpy/linalg/lapack_lite/fortran.py:11
↓ 1 callersFunctionisLabel
(line)
numpy/linalg/lapack_lite/fortran.py:7
↓ 1 callersFunctionis_any_numpy_datetime_or_timedelta
* Returns true if the object is something that is best considered * a Datetime or Timedelta, false otherwise. */
numpy/core/src/multiarray/datetime.c:3111
↓ 1 callersFunctionis_business_day
* Returns a boolean array with True for input dates which are valid * business days, and False for dates which are not. This is the * low-level func
numpy/core/src/multiarray/datetime_busday.c:728
↓ 1 callersFunctionis_contiguous
numpy/core/src/multiarray/array_method.c:105
↓ 1 callersFunctionis_datetime_typestr
numpy/core/src/multiarray/descriptor.c:217
↓ 1 callersFunctionis_deprecated
Check if module `f` is deprecated Parameters ---------- f : ModuleType Returns ------- bool
tools/refguide_check.py:336
↓ 1 callersFunctionis_free_format
Check if file is in free format Fortran.
numpy/distutils/fcompiler/__init__.py:984
↓ 1 callersFunctionis_free_format
Check if file is in free format Fortran.
numpy/f2py/crackfortran.py:332
↓ 1 callersMethodis_intent_exact
(self, *names)
numpy/f2py/tests/test_array_from_pyobj.py:106
↓ 1 callersFunctionis_mask
Return True if m is a valid, standard mask. This function does not check the contents of the input, only that the type is MaskType. In p
numpy/ma/core.py:1477
↓ 1 callersFunctionis_npy_no_smp
Return True if the NPY_NO_SMP symbol must be defined in public header (when SMP support cannot be reliably enabled).
numpy/core/setup.py:114
↓ 1 callersFunctionis_pathlib_path
Check whether obj is a `pathlib.Path` object. Prefer using ``isinstance(obj, os.PathLike)`` instead of this function.
numpy/compat/py3k.py:83
↓ 1 callersFunctionis_scalar_with_conversion
* Determine if object is a scalar and if so, convert the object * to a double and place it in the out_exponent argument * and return the "scalar kin
numpy/core/src/multiarray/number.c:425
↓ 1 callersFunctionis_string_or_list_of_strings
(val)
numpy/ma/core.py:783
↓ 1 callersFunctionis_win64
()
numpy/distutils/fcompiler/gnu.py:22
↓ 1 callersFunctionisallocatable
(var)
numpy/f2py/auxfuncs.py:263
↓ 1 callersFunctionisalnum
Returns true for each element if all characters in the string are alphanumeric and there is at least one character, false otherwise. Cal
numpy/core/defchararray.py:820
↓ 1 callersFunctionisalpha
Returns true for each element if all characters in the string are alphabetic and there is at least one character, false otherwise. Calls
numpy/core/defchararray.py:846
↓ 1 callersFunctionisarrayofstrings
(var)
numpy/f2py/auxfuncs.py:105
↓ 1 callersFunctionisattr_value
(var)
numpy/f2py/auxfuncs.py:298
↓ 1 callersFunctionischaracterarray
(var)
numpy/f2py/auxfuncs.py:89
↓ 1 callersFunctionisclose
Returns a boolean array where two arrays are element-wise equal within a tolerance. The tolerance values are positive, typically very sm
numpy/core/numeric.py:2250
↓ 1 callersFunctioniscode
Return true if the object is a code object. Code objects provide these attributes: co_argcount number of arguments (not including * o
numpy/_utils/_inspect.py:41
↓ 1 callersFunctioniscomplexarray
(var)
numpy/f2py/auxfuncs.py:213
↓ 1 callersFunctionisdecimal
For each element, return True if there are only decimal characters in the element. Calls `str.isdecimal` element-wise. Decimal char
numpy/core/defchararray.py:1885
↓ 1 callersFunctionisdouble
(var)
numpy/f2py/auxfuncs.py:191
↓ 1 callersFunctionisfunction_wrap
(rout)
numpy/f2py/auxfuncs.py:283
↓ 1 callersFunctionisin
Calculates ``element in test_elements``, broadcasting over `element` only. Returns a boolean array of the same shape as `element` that is Tru
numpy/lib/arraysetops.py:767
↓ 1 callersFunctionisin
Calculates `element in test_elements`, broadcasting over `element` only. The output is always a masked array of the same shape as `eleme
numpy/ma/extras.py:1331
↓ 1 callersFunctionisintent_inout
(var)
numpy/f2py/auxfuncs.py:446
↓ 1 callersFunctionislogicalfunction
(rout)
numpy/f2py/auxfuncs.py:321
↓ 1 callersFunctionislong_double
(var)
numpy/f2py/auxfuncs.py:199
↓ 1 callersFunctionislong_long
(var)
numpy/f2py/auxfuncs.py:151
↓ 1 callersFunctionislower
Returns true for each element if all cased characters in the string are lowercase and there is at least one cased character, false otherw
numpy/core/defchararray.py:907
↓ 1 callersFunctionismethod
Return true if the object is an instance method. Instance method objects provide these attributes: __doc__ documentation string
numpy/_utils/_inspect.py:13
↓ 1 callersFunctionisnumber
(x)
numpy/testing/_private/utils.py:655
↓ 1 callersFunctionisnumeric
For each element, return True if there are only numeric characters in the element. Calls `str.isnumeric` element-wise. Numeric char
numpy/core/defchararray.py:1848
↓ 1 callersFunctionisolate_expression
(string, start_pos, end_pos)
tools/npy_tempita/__init__.py:1119
↓ 1 callersFunctionisrequired
(var)
numpy/f2py/auxfuncs.py:424
↓ 1 callersFunctionisroutine
(rout)
numpy/f2py/auxfuncs.py:317
↓ 1 callersFunctionissequence
Is seq a sequence (ndarray, list or tuple)?
numpy/ma/extras.py:41
↓ 1 callersMethodisspace
Returns true for each element if there are only whitespace characters in the string and there is at least one character, fals
numpy/core/defchararray.py:2415
↓ 1 callersFunctionissubclass_
Determine if a class is a subclass of a second class. `issubclass_` is equivalent to the Python built-in ``issubclass``, except that it
numpy/core/numerictypes.py:284
↓ 1 callersFunctionissubroutine_wrap
(rout)
numpy/f2py/auxfuncs.py:293
↓ 1 callersFunctionistime
(x)
numpy/testing/_private/utils.py:658
↓ 1 callersFunctionistitle
Returns true for each element if the element is a titlecased string and there is at least one character, false otherwise. Call `str.isti
numpy/core/defchararray.py:961
↓ 1 callersMethodistitle
Returns true for each element if the element is a titlecased string and there is at least one character, false otherwise. Se
numpy/core/defchararray.py:2428
↓ 1 callersFunctionisupper
Return true for each element if all cased characters in the string are uppercase and there is at least one character, false otherwise.
numpy/core/defchararray.py:987
↓ 1 callersFunctionitems
yields all combinations of arch, ilp64
tools/openblas_support.py:287
↓ 1 callersFunctioniter_array
Two options: * 1) underlying array is contiguous * -- return 1-d wrapper around it * 2) underlying array is not contiguous * -- make new
numpy/core/src/multiarray/iterators.c:990
↓ 1 callersFunctioniter_ass_sub_Bool
numpy/core/src/multiarray/iterators.c:699
↓ 1 callersFunctioniter_ass_sub_int
numpy/core/src/multiarray/iterators.c:740
↓ 1 callersFunctioniter_included_files
Generator function to walk `base_path` and its subdirectories, skipping files or directories in RST_SKIPLIST, and yield each file with a suff
tools/refguide_check.py:1032
↓ 1 callersFunctioniter_iterindices
(i)
numpy/core/tests/test_nditer.py:30
↓ 1 callersFunctioniter_subscript_Bool
numpy/core/src/multiarray/iterators.c:417
↓ 1 callersFunctioniter_subscript_int
numpy/core/src/multiarray/iterators.c:478
↓ 1 callersFunctioniterable
Check whether or not an object can be iterated over. Parameters ---------- y : object Input object. Returns -------
numpy/lib/function_base.py:349
↓ 1 callersFunctioniterable_func
(x)
numpy/typing/tests/data/pass/simple.py:59
↓ 1 callersFunctioniterate
()
numpy/core/tests/test_extint128.py:52
↓ 1 callersMethoditerupgrade
(self, value)
numpy/lib/_iotools.py:752
↓ 1 callersFunctionix_
Construct an open mesh from multiple sequences. This function takes N 1-D sequences and returns N outputs with N dimensions each, such t
numpy/lib/index_tricks.py:35
↓ 1 callersFunctionjiffies
Return number of jiffies elapsed. Return number of jiffies (1/100ths of a second) that this process has been scheduled in us
numpy/testing/_private/utils.py:149
↓ 1 callersFunctionlagder
Differentiate a Laguerre series. Returns the Laguerre series coefficients `c` differentiated `m` times along `axis`. At each iteration
numpy/polynomial/laguerre.py:591
↓ 1 callersFunctionlagsub
Subtract one Laguerre series from another. Returns the difference of two Laguerre series `c1` - `c2`. The sequences of coefficients are
numpy/polynomial/laguerre.py:348
↓ 1 callersFunctionlcm
numpy/core/src/umath/_rational_tests.c:105
↓ 1 callersFunctionlcov_generate
()
runtests.py:673
↓ 1 callersFunctionlegacy_gamma
numpy/random/src/legacy/legacy-distributions.c:92
↓ 1 callersFunctionlegacy_geometric_inversion
numpy/random/src/legacy/legacy-distributions.c:395
↓ 1 callersFunctionlegacy_noncentral_chisquare
numpy/random/src/legacy/legacy-distributions.c:119
↓ 1 callersFunctionlegacy_normal
numpy/random/src/legacy/legacy-distributions.c:163
↓ 1 callersFunctionlegacy_random_binomial_original
numpy/random/src/legacy/legacy-distributions.c:232
↓ 1 callersFunctionlegder
Differentiate a Legendre series. Returns the Legendre series coefficients `c` differentiated `m` times along `axis`. At each iteration
numpy/polynomial/legendre.py:612
↓ 1 callersFunctionlegsub
Subtract one Legendre series from another. Returns the difference of two Legendre series `c1` - `c2`. The sequences of coefficients are
numpy/polynomial/legendre.py:364
↓ 1 callersFunctionlex
Lex a string into chunks: >>> lex('hey') ['hey'] >>> lex('hey {{you}}') ['hey ', ('you', (1, 7))] >>> le
tools/npy_tempita/__init__.py:638
↓ 1 callersFunctionlib_opts_if_msvc
Add flags if we are using MSVC compiler We can't see `build_cmd` in our scope, because we have not initialized the distutils build command,
numpy/distutils/msvccompiler.py:61
↓ 1 callersFunctionlibdivide_s32_recover
numpy/core/include/numpy/libdivide/libdivide.h:1008
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