Listings for numpy

numpy

numpy.arange()

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.array()

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.asarray()

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.asarray_chkfinite()

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4426-4448

numpy.ascontiguousarray()

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4993-5004

numpy.asfortranarray()

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:5007-5019

numpy.bartlett()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.blackman()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.broadcast_shapes()

• defined by ol_numpy_broadcast_shapes(*args) at numba/np/arrayobj.py:1521-1559

numpy.empty()

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

numpy.eye()

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/np/arrayobj.py:4555-4578

numpy.frombuffer()

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5097-5122

numpy.full()

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4478-4492

numpy.hamming()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.hanning()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.identity()

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4524-4537

numpy.indices()

• defined by numpy_indices(dimensions) at numba/np/arrayobj.py:4620-4645

numpy.isscalar()

• defined by np_isscalar(element) at numba/np/arraymath.py:1015-1021

numpy.kaiser()

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4674-4693

numpy.ones()

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4509-4521

numpy.tri()

• defined by np_tri(N, M=None, k=0) at numba/np/arraymath.py:1943-1954

numpy.tril_indices()

• defined by np_tril_indices(n, k=0, m=None) at numba/np/arraymath.py:2007-2018

numpy.triu_indices()

• defined by np_triu_indices(n, k=0, m=None) at numba/np/arraymath.py:2067-2078

numpy.zeros()

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 69 unsupported functions.

supported = 24 / 93 = 25.81%

numpy.array_api

This module is not supported.

numpy.array_api.linalg

This module is not supported.

numpy.array_api.setup

This module is not supported.

numpy.compat

This module is not supported.

numpy.compat.py3k

This module is not supported.

numpy.compat.setup

This module is not supported.

numpy.core

numpy.core.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.core.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.core.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.core.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4993-5004

numpy.core.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:5007-5019

numpy.core.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

numpy.core.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5097-5122

numpy.core.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4478-4492

numpy.core.identity()

Alias to: numpy.identity

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4524-4537

numpy.core.indices()

Alias to: numpy.indices

• defined by numpy_indices(dimensions) at numba/np/arrayobj.py:4620-4645

numpy.core.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(element) at numba/np/arraymath.py:1015-1021

numpy.core.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4509-4521

numpy.core.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 37 unsupported functions.

supported = 13 / 50 = 26.00%

numpy.core.arrayprint

numpy.core.arrayprint.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.core.arrayprint.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

Not showing 17 unsupported functions.

supported = 2 / 19 = 10.53%

numpy.core.defchararray

numpy.core.defchararray.narray()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

Not showing 5 unsupported functions.

supported = 1 / 6 = 16.67%

numpy.core.einsumfunc

This module is not supported.

numpy.core.fromnumeric

numpy.core.fromnumeric.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.core.fromnumeric.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

Not showing 2 unsupported functions.

supported = 2 / 4 = 50.00%

numpy.core.function_base

This module is not supported.

numpy.core.getlimits

numpy.core.getlimits.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

Not showing 1 unsupported functions.

supported = 1 / 2 = 50.00%

numpy.core.multiarray

numpy.core.multiarray.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.core.multiarray.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.core.multiarray.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.core.multiarray.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4993-5004

numpy.core.multiarray.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:5007-5019

numpy.core.multiarray.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

numpy.core.multiarray.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5097-5122

numpy.core.multiarray.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 32 unsupported functions.

supported = 8 / 40 = 20.00%

numpy.core.numeric

numpy.core.numeric.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.core.numeric.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.core.numeric.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.core.numeric.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4993-5004

numpy.core.numeric.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:5007-5019

numpy.core.numeric.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

numpy.core.numeric.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5097-5122

numpy.core.numeric.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4478-4492

numpy.core.numeric.identity()

Alias to: numpy.identity

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4524-4537

numpy.core.numeric.indices()

Alias to: numpy.indices

• defined by numpy_indices(dimensions) at numba/np/arrayobj.py:4620-4645

numpy.core.numeric.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(element) at numba/np/arraymath.py:1015-1021

numpy.core.numeric.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4509-4521

numpy.core.numeric.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 42 unsupported functions.

supported = 13 / 55 = 23.64%

numpy.core.numerictypes

numpy.core.numerictypes.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

Not showing 14 unsupported functions.

supported = 1 / 15 = 6.67%

numpy.core.overrides

This module is not supported.

numpy.core.records

This module is not supported.

numpy.core.shape_base

numpy.core.shape_base.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

Not showing 2 unsupported functions.

supported = 1 / 3 = 33.33%

numpy.core.umath

numpy.core.umath.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.core.umath.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.core.umath.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.core.umath.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4993-5004

numpy.core.umath.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:5007-5019

numpy.core.umath.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

numpy.core.umath.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5097-5122

numpy.core.umath.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 55 unsupported functions.

supported = 8 / 63 = 12.70%

numpy.ctypeslib

numpy.ctypeslib.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.ctypeslib.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5097-5122

Not showing 5 unsupported functions.

supported = 2 / 7 = 28.57%

numpy.distutils

This module is not supported.

numpy.distutils.armccompiler

This module is not supported.

numpy.distutils.ccompiler

This module is not supported.

numpy.distutils.ccompiler_opt

This module is not supported.

numpy.distutils.command

This module is not supported.

numpy.distutils.command.autodist

This module is not supported.

numpy.distutils.command.bdist_rpm

This module is not supported.

numpy.distutils.command.build

This module is not supported.

numpy.distutils.command.build_clib

This module is not supported.

numpy.distutils.command.build_ext

This module is not supported.

numpy.distutils.command.build_py

This module is not supported.

numpy.distutils.command.build_scripts

This module is not supported.

numpy.distutils.command.build_src

This module is not supported.

numpy.distutils.command.config

This module is not supported.

numpy.distutils.command.config_compiler

This module is not supported.

numpy.distutils.command.develop

This module is not supported.

numpy.distutils.command.egg_info

This module is not supported.

numpy.distutils.command.install

This module is not supported.

numpy.distutils.command.install_clib

This module is not supported.

numpy.distutils.command.install_data

This module is not supported.

numpy.distutils.command.install_headers

This module is not supported.

numpy.distutils.command.sdist

This module is not supported.

numpy.distutils.conv_template

This module is not supported.

numpy.distutils.core

This module is not supported.

numpy.distutils.cpuinfo

This module is not supported.

numpy.distutils.exec_command

This module is not supported.

numpy.distutils.extension

This module is not supported.

numpy.distutils.fcompiler

This module is not supported.

numpy.distutils.fcompiler.absoft

This module is not supported.

numpy.distutils.fcompiler.arm

This module is not supported.

numpy.distutils.fcompiler.compaq

This module is not supported.

numpy.distutils.fcompiler.environment

This module is not supported.

numpy.distutils.fcompiler.fujitsu

This module is not supported.

numpy.distutils.fcompiler.g95

This module is not supported.

numpy.distutils.fcompiler.gnu

This module is not supported.

numpy.distutils.fcompiler.hpux

This module is not supported.

numpy.distutils.fcompiler.ibm

This module is not supported.

numpy.distutils.fcompiler.intel

This module is not supported.

numpy.distutils.fcompiler.lahey

This module is not supported.

numpy.distutils.fcompiler.mips

This module is not supported.

numpy.distutils.fcompiler.nag

This module is not supported.

numpy.distutils.fcompiler.none

This module is not supported.

numpy.distutils.fcompiler.nv

This module is not supported.

numpy.distutils.fcompiler.pathf95

This module is not supported.

numpy.distutils.fcompiler.pg

This module is not supported.

numpy.distutils.fcompiler.sun

This module is not supported.

numpy.distutils.fcompiler.vast

This module is not supported.

numpy.distutils.from_template

This module is not supported.

numpy.distutils.fujitsuccompiler

This module is not supported.

numpy.distutils.intelccompiler

This module is not supported.

numpy.distutils.lib2def

This module is not supported.

numpy.distutils.line_endings

This module is not supported.

numpy.distutils.log

This module is not supported.

numpy.distutils.mingw32ccompiler

This module is not supported.

numpy.distutils.misc_util

numpy.distutils.misc_util.reduce()

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 63 unsupported functions.

supported = 1 / 64 = 1.56%

numpy.distutils.msvccompiler

This module is not supported.

numpy.distutils.npy_pkg_config

This module is not supported.

numpy.distutils.numpy_distribution

This module is not supported.

numpy.distutils.pathccompiler

This module is not supported.

numpy.distutils.setup

This module is not supported.

numpy.distutils.system_info

numpy.distutils.system_info.reduce()

Alias to: numpy.distutils.misc_util.reduce

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 16 unsupported functions.

supported = 1 / 17 = 5.88%

numpy.distutils.unixccompiler

This module is not supported.

numpy.doc

This module is not supported.

numpy.doc.constants

This module is not supported.

numpy.doc.ufuncs

This module is not supported.

numpy.dtypes

This module is not supported.

numpy.exceptions

This module is not supported.

numpy.f2py

This module is not supported.

numpy.f2py.auxfuncs

numpy.f2py.auxfuncs.reduce()

Alias to: numpy.distutils.misc_util.reduce

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 112 unsupported functions.

supported = 1 / 113 = 0.88%

numpy.f2py.capi_maps

This module is not supported.

numpy.f2py.cb_rules

This module is not supported.

numpy.f2py.cfuncs

This module is not supported.

numpy.f2py.common_rules

This module is not supported.

numpy.f2py.crackfortran

This module is not supported.

numpy.f2py.diagnose

This module is not supported.

numpy.f2py.f2py2e

This module is not supported.

numpy.f2py.f90mod_rules

This module is not supported.

numpy.f2py.func2subr

This module is not supported.

numpy.f2py.rules

This module is not supported.

numpy.f2py.symbolic

numpy.f2py.symbolic.gcd()

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 29 unsupported functions.

supported = 1 / 30 = 3.33%

numpy.f2py.use_rules

This module is not supported.

numpy.fft

This module is not supported.

numpy.fft.helper

numpy.fft.helper.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.fft.helper.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.fft.helper.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

Not showing 4 unsupported functions.

supported = 3 / 7 = 42.86%

numpy.lib

numpy.lib.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4426-4448

numpy.lib.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.lib.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.lib.broadcast_shapes()

Alias to: numpy.broadcast_shapes

• defined by ol_numpy_broadcast_shapes(*args) at numba/np/arrayobj.py:1521-1559

numpy.lib.eye()

Alias to: numpy.eye

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/np/arrayobj.py:4555-4578

numpy.lib.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.lib.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.lib.kaiser()

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4674-4693

numpy.lib.tri()

Alias to: numpy.tri

• defined by np_tri(N, M=None, k=0) at numba/np/arraymath.py:1943-1954

numpy.lib.tril_indices()

Alias to: numpy.tril_indices

• defined by np_tril_indices(n, k=0, m=None) at numba/np/arraymath.py:2007-2018

numpy.lib.triu_indices()

Alias to: numpy.triu_indices

• defined by np_triu_indices(n, k=0, m=None) at numba/np/arraymath.py:2067-2078

Not showing 29 unsupported functions.

supported = 11 / 40 = 27.50%

numpy.lib.arraypad

This module is not supported.

numpy.lib.arraysetops

This module is not supported.

numpy.lib.arrayterator

numpy.lib.arrayterator.mul()

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

• defined by func(x, y) at numba/experimental/jitclass/overloads.py:0-34

• defined by unicode_repeat(a, b) at numba/cpython/unicode.py:1927-1936

• defined by charseq_repeat(a, b) at numba/cpython/charseq.py:399-416

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.arrayterator.reduce()

Alias to: numpy.distutils.misc_util.reduce

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 0 unsupported functions.

supported = 2 / 2 = 100.00%

numpy.lib.format

This module is not supported.

numpy.lib.function_base

numpy.lib.function_base.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.lib.function_base.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.lib.function_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.lib.function_base.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4426-4448

numpy.lib.function_base.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.lib.function_base.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.lib.function_base.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

numpy.lib.function_base.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.lib.function_base.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.lib.function_base.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(element) at numba/np/arraymath.py:1015-1021

numpy.lib.function_base.kaiser()

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4674-4693

numpy.lib.function_base.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4509-4521

Not showing 11 unsupported functions.

supported = 12 / 23 = 52.17%

numpy.lib.histograms

This module is not supported.

numpy.lib.index_tricks

numpy.lib.index_tricks.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.lib.index_tricks.as_strided()

• defined by as_strided(x, shape=None, strides=None) at numba/np/arrayobj.py:6526-6552

Not showing 3 unsupported functions.

supported = 2 / 5 = 40.00%

numpy.lib.mixins

This module is not supported.

numpy.lib.nanfunctions

This module is not supported.

numpy.lib.npyio

This module is not supported.

numpy.lib.polynomial

numpy.lib.polynomial.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.lib.polynomial.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(element) at numba/np/arraymath.py:1015-1021

numpy.lib.polynomial.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4509-4521

Not showing 2 unsupported functions.

supported = 3 / 5 = 60.00%

numpy.lib.recfunctions

This module is not supported.

numpy.lib.scimath

numpy.lib.scimath.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

Not showing 1 unsupported functions.

supported = 1 / 2 = 50.00%

numpy.lib.setup

This module is not supported.

numpy.lib.shape_base

numpy.lib.shape_base.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.lib.shape_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.lib.shape_base.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 5 unsupported functions.

supported = 3 / 8 = 37.50%

numpy.lib.stride_tricks

numpy.lib.stride_tricks.as_strided()

Alias to: numpy.lib.index_tricks.as_strided

• defined by as_strided(x, shape=None, strides=None) at numba/np/arrayobj.py:6526-6552

numpy.lib.stride_tricks.broadcast_shapes()

Alias to: numpy.broadcast_shapes

• defined by ol_numpy_broadcast_shapes(*args) at numba/np/arrayobj.py:1521-1559

Not showing 3 unsupported functions.

supported = 2 / 5 = 40.00%

numpy.lib.twodim_base

numpy.lib.twodim_base.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.lib.twodim_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.lib.twodim_base.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

numpy.lib.twodim_base.eye()

Alias to: numpy.eye

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/np/arrayobj.py:4555-4578

numpy.lib.twodim_base.indices()

Alias to: numpy.indices

• defined by numpy_indices(dimensions) at numba/np/arrayobj.py:4620-4645

numpy.lib.twodim_base.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4509-4521

numpy.lib.twodim_base.tri()

Alias to: numpy.tri

• defined by np_tri(N, M=None, k=0) at numba/np/arraymath.py:1943-1954

numpy.lib.twodim_base.tril_indices()

Alias to: numpy.tril_indices

• defined by np_tril_indices(n, k=0, m=None) at numba/np/arraymath.py:2007-2018

numpy.lib.twodim_base.triu_indices()

Alias to: numpy.triu_indices

• defined by np_triu_indices(n, k=0, m=None) at numba/np/arraymath.py:2067-2078

numpy.lib.twodim_base.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 5 unsupported functions.

supported = 10 / 15 = 66.67%

numpy.lib.type_check

numpy.lib.type_check.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.lib.type_check.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 4 unsupported functions.

supported = 2 / 6 = 33.33%

numpy.lib.ufunclike

This module is not supported.

numpy.lib.user_array

numpy.lib.user_array.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.lib.user_array.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.lib.user_array.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

Not showing 0 unsupported functions.

supported = 3 / 3 = 100.00%

numpy.lib.utils

numpy.lib.utils.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

Not showing 15 unsupported functions.

supported = 1 / 16 = 6.25%

numpy.linalg

This module is not supported.

numpy.linalg.lapack_lite

This module is not supported.

numpy.linalg.linalg

numpy.linalg.linalg.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.linalg.linalg.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.linalg.linalg.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4363-4382

numpy.linalg.linalg.eye()

Alias to: numpy.eye

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/np/arrayobj.py:4555-4578

numpy.linalg.linalg.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4441-4449

Not showing 8 unsupported functions.

supported = 5 / 13 = 38.46%

numpy.ma

This module is not supported.

numpy.ma.core

numpy.ma.core.narray()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.ma.core.reduce()

Alias to: numpy.distutils.misc_util.reduce

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 83 unsupported functions.

supported = 2 / 85 = 2.35%

numpy.ma.extras

numpy.ma.extras.nxarray()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

Not showing 49 unsupported functions.

supported = 1 / 50 = 2.00%

numpy.ma.mrecords

numpy.ma.mrecords.narray()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

Not showing 10 unsupported functions.

supported = 1 / 11 = 9.09%

numpy.ma.setup

This module is not supported.

numpy.ma.testutils

This module is not supported.

numpy.ma.timer_comparison

numpy.ma.timer_comparison.reduce()

Alias to: numpy.distutils.misc_util.reduce

• defined by <class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 1 unsupported functions.

supported = 1 / 2 = 50.00%

numpy.matlib

numpy.matlib.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4749-4814

numpy.matlib.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5421-5433

numpy.matlib.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4263-4315

numpy.matlib.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4426-4448

numpy.matlib.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4993-5004

numpy.matlib.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:5007-5019

numpy.matlib.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.matlib.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.matlib.broadcast_shapes()

Alias to: numpy.broadcast_shapes

• defined by ol_numpy_broadcast_shapes(*args) at numba/np/arrayobj.py:1521-1559

numpy.matlib.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5097-5122

numpy.matlib.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4478-4492

numpy.matlib.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.matlib.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4556-4568

numpy.matlib.indices()

Alias to: numpy.indices

• defined by numpy_indices(dimensions) at numba/np/arrayobj.py:4620-4645

numpy.matlib.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(element) at numba/np/arraymath.py:1015-1021

numpy.matlib.kaiser()

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4674-4693

numpy.matlib.tri()

Alias to: numpy.tri

• defined by np_tri(N, M=None, k=0) at numba/np/arraymath.py:1943-1954

numpy.matlib.tril_indices()

Alias to: numpy.tril_indices

• defined by np_tril_indices(n, k=0, m=None) at numba/np/arraymath.py:2007-2018

numpy.matlib.triu_indices()

Alias to: numpy.triu_indices

• defined by np_triu_indices(n, k=0, m=None) at numba/np/arraymath.py:2067-2078

Not showing 77 unsupported functions.

supported = 19 / 96 = 19.79%

numpy.matrixlib

This module is not supported.

numpy.matrixlib.defmatrix

numpy.matrixlib.defmatrix.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(element) at numba/np/arraymath.py:1015-1021

Not showing 4 unsupported functions.

supported = 1 / 5 = 20.00%

numpy.matrixlib.setup

This module is not supported.

numpy.polynomial

This module is not supported.

numpy.polynomial.chebyshev

This module is not supported.

numpy.polynomial.hermite

This module is not supported.

numpy.polynomial.hermite_e

This module is not supported.

numpy.polynomial.laguerre

This module is not supported.

numpy.polynomial.legendre

This module is not supported.

numpy.polynomial.polynomial

numpy.polynomial.polynomial.polyadd()

• defined by numpy_polyadd(c1, c2) at numba/np/polynomial/polynomial_functions.py:186-208

numpy.polynomial.polynomial.polydiv()

• defined by numpy_polydiv(c1, c2) at numba/np/polynomial/polynomial_functions.py:342-375

numpy.polynomial.polynomial.polyint()

• defined by poly_polyint(c, m=1) at numba/np/polynomial/polynomial_functions.py:301-339

numpy.polynomial.polynomial.polymul()

• defined by numpy_polymul(c1, c2) at numba/np/polynomial/polynomial_functions.py:236-251

numpy.polynomial.polynomial.polysub()

• defined by numpy_polysub(c1, c2) at numba/np/polynomial/polynomial_functions.py:211-233

numpy.polynomial.polynomial.polyval()

• defined by poly_polyval(x, c, tensor=True) at numba/np/polynomial/polynomial_functions.py:254-298

Not showing 18 unsupported functions.

supported = 6 / 24 = 25.00%

numpy.polynomial.polyutils

numpy.polynomial.polyutils.as_series()

• defined by polyutils_as_series(alist, trim=True) at numba/np/polynomial/polynomial_functions.py:90-145

numpy.polynomial.polyutils.trimseq()

• defined by polyutils_trimseq(seq) at numba/np/polynomial/polynomial_functions.py:64-87

Not showing 7 unsupported functions.

supported = 2 / 9 = 22.22%

numpy.polynomial.setup

This module is not supported.

numpy.random

numpy.random.beta()

• defined by ol_np_random_beta(a, b) at numba/cpython/randomimpl.py:876-883

• defined by beta_impl(a, b, size) at numba/cpython/randomimpl.py:900-913

numpy.random.binomial()

• defined by binomial_impl(n, p) at numba/cpython/randomimpl.py:1178-1231

• defined by binomial_impl(n, p, size) at numba/cpython/randomimpl.py:1234-1247

numpy.random.chisquare()

• defined by chisquare_impl(df) at numba/cpython/randomimpl.py:1250-1256

• defined by chisquare_impl2(df, size) at numba/cpython/randomimpl.py:1259-1272

numpy.random.choice()

• defined by choice(a, size=None, replace=True) at numba/cpython/randomimpl.py:1915-1996

numpy.random.dirichlet()

• defined by dirichlet(alpha) at numba/cpython/randomimpl.py:2083-2090

• defined by dirichlet(alpha, size=None) at numba/cpython/randomimpl.py:2093-2134

numpy.random.exponential()

• defined by exponential_impl(scale) at numba/cpython/randomimpl.py:932-937

• defined by exponential_impl(scale, size) at numba/cpython/randomimpl.py:940-953

• defined by exponential_impl() at numba/cpython/randomimpl.py:956-961

numpy.random.f()

• defined by f_impl(dfnum, dfden) at numba/cpython/randomimpl.py:1275-1283

• defined by f_impl(dfnum, dfden, size) at numba/cpython/randomimpl.py:1286-1301

numpy.random.gamma()

• defined by ol_np_random_gamma1(shape) at numba/cpython/randomimpl.py:761-765

• defined by ol_np_random_gamma2(shape, scale) at numba/cpython/randomimpl.py:768-775

• defined by gamma_impl(shape, scale, size) at numba/cpython/randomimpl.py:837-850

numpy.random.geometric()

• defined by geometric_impl(p) at numba/cpython/randomimpl.py:1304-1325

• defined by geometric_impl(p, size) at numba/cpython/randomimpl.py:1328-1341

numpy.random.gumbel()

• defined by gumbel_impl(loc, scale) at numba/cpython/randomimpl.py:1344-1352

• defined by gumbel_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1355-1368

numpy.random.hypergeometric()

• defined by hypergeometric_impl(ngood, nbad, nsample) at numba/cpython/randomimpl.py:1371-1392

• defined by hypergeometric_impl(ngood, nbad, nsample, size) at numba/cpython/randomimpl.py:1395-1409

numpy.random.laplace()

• defined by laplace_impl0() at numba/cpython/randomimpl.py:1412-1414

• defined by laplace_impl1(loc) at numba/cpython/randomimpl.py:1417-1420

• defined by laplace_impl2(loc, scale) at numba/cpython/randomimpl.py:1423-1427

• defined by laplace_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1430-1443

numpy.random.logistic()

• defined by logistic_impl0() at numba/cpython/randomimpl.py:1454-1456

• defined by logistic_impl1(loc) at numba/cpython/randomimpl.py:1459-1462

• defined by logistic_impl2(loc, scale) at numba/cpython/randomimpl.py:1465-1469

• defined by logistic_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1472-1485

numpy.random.lognormal()

• defined by np_lognormal_impl0() at numba/cpython/randomimpl.py:981-983

• defined by np_log_normal_impl1(mean) at numba/cpython/randomimpl.py:986-989

• defined by np_log_normal_impl2(mean, sigma) at numba/cpython/randomimpl.py:992-997

• defined by lognormal_impl(mean, sigma, size) at numba/cpython/randomimpl.py:1000-1013

numpy.random.logseries()

• defined by logseries_impl(p) at numba/cpython/randomimpl.py:1514-1517

• defined by logseries_impl(p, size) at numba/cpython/randomimpl.py:1520-1533

numpy.random.multinomial()

• defined by multinomial(n, pvals, size=None) at numba/cpython/randomimpl.py:2002-2077

numpy.random.negative_binomial()

• defined by negative_binomial_impl(n, p) at numba/cpython/randomimpl.py:1536-1548

numpy.random.noncentral_chisquare()

• defined by noncentral_chisquare(df, nonc) at numba/cpython/randomimpl.py:2163-2171

• defined by noncentral_chisquare(df, nonc, size=None) at numba/cpython/randomimpl.py:2174-2197

numpy.random.normal()

• defined by np_gauss_impl0() at numba/cpython/randomimpl.py:288-291

• defined by np_gauss_impl1(loc) at numba/cpython/randomimpl.py:294-297

• defined by np_gauss_impl2(loc, scale) at numba/cpython/randomimpl.py:300-310

• defined by np_gauss_impl3(loc, scale, size) at numba/cpython/randomimpl.py:329-346

numpy.random.pareto()

• defined by pareto_impl(a) at numba/cpython/randomimpl.py:1039-1047

• defined by pareto_impl(a, size) at numba/cpython/randomimpl.py:1050-1063

numpy.random.permutation()

• defined by permutation_impl(x) at numba/cpython/randomimpl.py:1862-1876

numpy.random.poisson()

• defined by poisson_impl0() at numba/cpython/randomimpl.py:1551-1553

• defined by poisson_impl1(lam) at numba/cpython/randomimpl.py:1556-1619

• defined by poisson_impl2(lam, size) at numba/cpython/randomimpl.py:1622-1637

numpy.random.power()

• defined by power_impl(a) at numba/cpython/randomimpl.py:1640-1649

• defined by power_impl(a, size) at numba/cpython/randomimpl.py:1652-1665

numpy.random.rand()

• defined by rand(*size) at numba/cpython/randomimpl.py:1882-1894

numpy.random.randint()

• defined by np_randint_impl_1(low) at numba/cpython/randomimpl.py:568-571

• defined by np_randint_impl_2(low, high) at numba/cpython/randomimpl.py:574-596

• defined by np_randint_impl_3(low, high, size) at numba/cpython/randomimpl.py:599-617

numpy.random.randn()

• defined by randn(*size) at numba/cpython/randomimpl.py:1897-1909

numpy.random.random()

• defined by random_impl0() at numba/cpython/randomimpl.py:241-252

• defined by random_impl1(size=None) at numba/cpython/randomimpl.py:255-271

numpy.random.random_sample()

• defined by random_impl0() at numba/cpython/randomimpl.py:241-252

• defined by random_impl1(size=None) at numba/cpython/randomimpl.py:255-271

numpy.random.ranf()

• defined by random_impl0() at numba/cpython/randomimpl.py:241-252

• defined by random_impl1(size=None) at numba/cpython/randomimpl.py:255-271

numpy.random.rayleigh()

• defined by rayleigh_impl0() at numba/cpython/randomimpl.py:1668-1670

• defined by rayleigh_impl1(scale) at numba/cpython/randomimpl.py:1673-1680

• defined by rayleigh_impl2(scale, size) at numba/cpython/randomimpl.py:1685-1698

numpy.random.sample()

• defined by random_impl0() at numba/cpython/randomimpl.py:241-252

• defined by random_impl1(size=None) at numba/cpython/randomimpl.py:255-271

numpy.random.seed()

• defined by seed_impl(seed) at numba/cpython/randomimpl.py:209-212

numpy.random.shuffle()

• defined by shuffle_impl(x) at numba/cpython/randomimpl.py:1857-1859

numpy.random.standard_cauchy()

• defined by cauchy_impl() at numba/cpython/randomimpl.py:1701-1706

• defined by standard_cauchy_impl(size) at numba/cpython/randomimpl.py:1709-1722

numpy.random.standard_exponential()

• defined by exponential_impl() at numba/cpython/randomimpl.py:956-961

• defined by standard_exponential_impl(size) at numba/cpython/randomimpl.py:964-978

numpy.random.standard_gamma()

• defined by ol_np_random_gamma1(shape) at numba/cpython/randomimpl.py:761-765

• defined by standard_gamma_impl(shape, size) at numba/cpython/randomimpl.py:853-866

numpy.random.standard_normal()

• defined by np_gauss_impl0() at numba/cpython/randomimpl.py:288-291

• defined by standard_normal_impl1(size) at numba/cpython/randomimpl.py:313-326

numpy.random.standard_t()

• defined by standard_t_impl(df) at numba/cpython/randomimpl.py:1725-1734

• defined by standard_t_impl2(df, size) at numba/cpython/randomimpl.py:1737-1750

numpy.random.triangular()

• defined by triangular_impl_3(left, mode, right) at numba/cpython/randomimpl.py:717-733

• defined by triangular_impl(left, mode, right, size=None) at numba/cpython/randomimpl.py:736-751

numpy.random.uniform()

• defined by np_uniform_impl0() at numba/cpython/randomimpl.py:620-622

• defined by np_uniform_impl2(low, high) at numba/cpython/randomimpl.py:638-648

• defined by np_uniform_impl3(low, high, size) at numba/cpython/randomimpl.py:663-680

numpy.random.vonmises()

• defined by vonmisesvariate_impl(mu, kappa) at numba/cpython/randomimpl.py:1112-1115

• defined by vonmises_impl(mu, kappa, size) at numba/cpython/randomimpl.py:1162-1175

numpy.random.wald()

• defined by wald_impl(mean, scale) at numba/cpython/randomimpl.py:1753-1771

• defined by wald_impl2(mean, scale, size) at numba/cpython/randomimpl.py:1774-1787

numpy.random.weibull()

• defined by weibull_impl(a) at numba/cpython/randomimpl.py:1079-1087

• defined by weibull_impl2(a, size) at numba/cpython/randomimpl.py:1090-1103

numpy.random.zipf()

• defined by zipf_impl(a) at numba/cpython/randomimpl.py:1790-1806

• defined by zipf_impl(a, size) at numba/cpython/randomimpl.py:1809-1822

Not showing 9 unsupported functions.

supported = 44 / 53 = 83.02%

numpy.random.bit_generator

This module is not supported.

numpy.random.mtrand

numpy.random.mtrand.beta()

Alias to: numpy.random.beta

• defined by ol_np_random_beta(a, b) at numba/cpython/randomimpl.py:876-883

• defined by beta_impl(a, b, size) at numba/cpython/randomimpl.py:900-913

numpy.random.mtrand.binomial()

Alias to: numpy.random.binomial

• defined by binomial_impl(n, p) at numba/cpython/randomimpl.py:1178-1231

• defined by binomial_impl(n, p, size) at numba/cpython/randomimpl.py:1234-1247

numpy.random.mtrand.chisquare()

Alias to: numpy.random.chisquare

• defined by chisquare_impl(df) at numba/cpython/randomimpl.py:1250-1256

• defined by chisquare_impl2(df, size) at numba/cpython/randomimpl.py:1259-1272

numpy.random.mtrand.choice()

Alias to: numpy.random.choice

• defined by choice(a, size=None, replace=True) at numba/cpython/randomimpl.py:1915-1996

numpy.random.mtrand.dirichlet()

Alias to: numpy.random.dirichlet

• defined by dirichlet(alpha) at numba/cpython/randomimpl.py:2083-2090

• defined by dirichlet(alpha, size=None) at numba/cpython/randomimpl.py:2093-2134

numpy.random.mtrand.exponential()

Alias to: numpy.random.exponential

• defined by exponential_impl(scale) at numba/cpython/randomimpl.py:932-937

• defined by exponential_impl(scale, size) at numba/cpython/randomimpl.py:940-953

• defined by exponential_impl() at numba/cpython/randomimpl.py:956-961

numpy.random.mtrand.f()

Alias to: numpy.random.f

• defined by f_impl(dfnum, dfden) at numba/cpython/randomimpl.py:1275-1283

• defined by f_impl(dfnum, dfden, size) at numba/cpython/randomimpl.py:1286-1301

numpy.random.mtrand.gamma()

Alias to: numpy.random.gamma

• defined by ol_np_random_gamma1(shape) at numba/cpython/randomimpl.py:761-765

• defined by ol_np_random_gamma2(shape, scale) at numba/cpython/randomimpl.py:768-775

• defined by gamma_impl(shape, scale, size) at numba/cpython/randomimpl.py:837-850

numpy.random.mtrand.geometric()

Alias to: numpy.random.geometric

• defined by geometric_impl(p) at numba/cpython/randomimpl.py:1304-1325

• defined by geometric_impl(p, size) at numba/cpython/randomimpl.py:1328-1341

numpy.random.mtrand.gumbel()

Alias to: numpy.random.gumbel

• defined by gumbel_impl(loc, scale) at numba/cpython/randomimpl.py:1344-1352

• defined by gumbel_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1355-1368

numpy.random.mtrand.hypergeometric()

Alias to: numpy.random.hypergeometric

• defined by hypergeometric_impl(ngood, nbad, nsample) at numba/cpython/randomimpl.py:1371-1392

• defined by hypergeometric_impl(ngood, nbad, nsample, size) at numba/cpython/randomimpl.py:1395-1409

numpy.random.mtrand.laplace()

Alias to: numpy.random.laplace

• defined by laplace_impl0() at numba/cpython/randomimpl.py:1412-1414

• defined by laplace_impl1(loc) at numba/cpython/randomimpl.py:1417-1420

• defined by laplace_impl2(loc, scale) at numba/cpython/randomimpl.py:1423-1427

• defined by laplace_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1430-1443

numpy.random.mtrand.logistic()

Alias to: numpy.random.logistic

• defined by logistic_impl0() at numba/cpython/randomimpl.py:1454-1456

• defined by logistic_impl1(loc) at numba/cpython/randomimpl.py:1459-1462

• defined by logistic_impl2(loc, scale) at numba/cpython/randomimpl.py:1465-1469

• defined by logistic_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1472-1485

numpy.random.mtrand.lognormal()

Alias to: numpy.random.lognormal

• defined by np_lognormal_impl0() at numba/cpython/randomimpl.py:981-983

• defined by np_log_normal_impl1(mean) at numba/cpython/randomimpl.py:986-989

• defined by np_log_normal_impl2(mean, sigma) at numba/cpython/randomimpl.py:992-997

• defined by lognormal_impl(mean, sigma, size) at numba/cpython/randomimpl.py:1000-1013

numpy.random.mtrand.logseries()

Alias to: numpy.random.logseries

• defined by logseries_impl(p) at numba/cpython/randomimpl.py:1514-1517

• defined by logseries_impl(p, size) at numba/cpython/randomimpl.py:1520-1533

numpy.random.mtrand.multinomial()

Alias to: numpy.random.multinomial

• defined by multinomial(n, pvals, size=None) at numba/cpython/randomimpl.py:2002-2077

numpy.random.mtrand.negative_binomial()

Alias to: numpy.random.negative_binomial

• defined by negative_binomial_impl(n, p) at numba/cpython/randomimpl.py:1536-1548

numpy.random.mtrand.noncentral_chisquare()

Alias to: numpy.random.noncentral_chisquare

• defined by noncentral_chisquare(df, nonc) at numba/cpython/randomimpl.py:2163-2171

• defined by noncentral_chisquare(df, nonc, size=None) at numba/cpython/randomimpl.py:2174-2197

numpy.random.mtrand.normal()

Alias to: numpy.random.normal

• defined by np_gauss_impl0() at numba/cpython/randomimpl.py:288-291

• defined by np_gauss_impl1(loc) at numba/cpython/randomimpl.py:294-297

• defined by np_gauss_impl2(loc, scale) at numba/cpython/randomimpl.py:300-310

• defined by np_gauss_impl3(loc, scale, size) at numba/cpython/randomimpl.py:329-346

numpy.random.mtrand.pareto()

Alias to: numpy.random.pareto

• defined by pareto_impl(a) at numba/cpython/randomimpl.py:1039-1047

• defined by pareto_impl(a, size) at numba/cpython/randomimpl.py:1050-1063

numpy.random.mtrand.permutation()

Alias to: numpy.random.permutation

• defined by permutation_impl(x) at numba/cpython/randomimpl.py:1862-1876

numpy.random.mtrand.poisson()

Alias to: numpy.random.poisson

• defined by poisson_impl0() at numba/cpython/randomimpl.py:1551-1553

• defined by poisson_impl1(lam) at numba/cpython/randomimpl.py:1556-1619

• defined by poisson_impl2(lam, size) at numba/cpython/randomimpl.py:1622-1637

numpy.random.mtrand.power()

Alias to: numpy.random.power

• defined by power_impl(a) at numba/cpython/randomimpl.py:1640-1649

• defined by power_impl(a, size) at numba/cpython/randomimpl.py:1652-1665

numpy.random.mtrand.rand()

Alias to: numpy.random.rand

• defined by rand(*size) at numba/cpython/randomimpl.py:1882-1894

numpy.random.mtrand.randint()

Alias to: numpy.random.randint

• defined by np_randint_impl_1(low) at numba/cpython/randomimpl.py:568-571

• defined by np_randint_impl_2(low, high) at numba/cpython/randomimpl.py:574-596

• defined by np_randint_impl_3(low, high, size) at numba/cpython/randomimpl.py:599-617

numpy.random.mtrand.randn()

Alias to: numpy.random.randn

• defined by randn(*size) at numba/cpython/randomimpl.py:1897-1909

numpy.random.mtrand.random()

Alias to: numpy.random.random

• defined by random_impl0() at numba/cpython/randomimpl.py:241-252

• defined by random_impl1(size=None) at numba/cpython/randomimpl.py:255-271

numpy.random.mtrand.random_sample()

Alias to: numpy.random.random_sample

• defined by random_impl0() at numba/cpython/randomimpl.py:241-252

• defined by random_impl1(size=None) at numba/cpython/randomimpl.py:255-271

numpy.random.mtrand.ranf()

Alias to: numpy.random.ranf

• defined by random_impl0() at numba/cpython/randomimpl.py:241-252

• defined by random_impl1(size=None) at numba/cpython/randomimpl.py:255-271

numpy.random.mtrand.rayleigh()

Alias to: numpy.random.rayleigh

• defined by rayleigh_impl0() at numba/cpython/randomimpl.py:1668-1670

• defined by rayleigh_impl1(scale) at numba/cpython/randomimpl.py:1673-1680

• defined by rayleigh_impl2(scale, size) at numba/cpython/randomimpl.py:1685-1698

numpy.random.mtrand.sample()

Alias to: numpy.random.sample

• defined by random_impl0() at numba/cpython/randomimpl.py:241-252

• defined by random_impl1(size=None) at numba/cpython/randomimpl.py:255-271

numpy.random.mtrand.seed()

Alias to: numpy.random.seed

• defined by seed_impl(seed) at numba/cpython/randomimpl.py:209-212

numpy.random.mtrand.shuffle()

Alias to: numpy.random.shuffle

• defined by shuffle_impl(x) at numba/cpython/randomimpl.py:1857-1859

numpy.random.mtrand.standard_cauchy()

Alias to: numpy.random.standard_cauchy

• defined by cauchy_impl() at numba/cpython/randomimpl.py:1701-1706

• defined by standard_cauchy_impl(size) at numba/cpython/randomimpl.py:1709-1722

numpy.random.mtrand.standard_exponential()

Alias to: numpy.random.standard_exponential

• defined by exponential_impl() at numba/cpython/randomimpl.py:956-961

• defined by standard_exponential_impl(size) at numba/cpython/randomimpl.py:964-978

numpy.random.mtrand.standard_gamma()

Alias to: numpy.random.standard_gamma

• defined by ol_np_random_gamma1(shape) at numba/cpython/randomimpl.py:761-765

• defined by standard_gamma_impl(shape, size) at numba/cpython/randomimpl.py:853-866

numpy.random.mtrand.standard_normal()

Alias to: numpy.random.standard_normal

• defined by np_gauss_impl0() at numba/cpython/randomimpl.py:288-291

• defined by standard_normal_impl1(size) at numba/cpython/randomimpl.py:313-326

numpy.random.mtrand.standard_t()

Alias to: numpy.random.standard_t

• defined by standard_t_impl(df) at numba/cpython/randomimpl.py:1725-1734

• defined by standard_t_impl2(df, size) at numba/cpython/randomimpl.py:1737-1750

numpy.random.mtrand.triangular()

Alias to: numpy.random.triangular

• defined by triangular_impl_3(left, mode, right) at numba/cpython/randomimpl.py:717-733

• defined by triangular_impl(left, mode, right, size=None) at numba/cpython/randomimpl.py:736-751

numpy.random.mtrand.uniform()

Alias to: numpy.random.uniform

• defined by np_uniform_impl0() at numba/cpython/randomimpl.py:620-622

• defined by np_uniform_impl2(low, high) at numba/cpython/randomimpl.py:638-648

• defined by np_uniform_impl3(low, high, size) at numba/cpython/randomimpl.py:663-680

numpy.random.mtrand.vonmises()

Alias to: numpy.random.vonmises

• defined by vonmisesvariate_impl(mu, kappa) at numba/cpython/randomimpl.py:1112-1115

• defined by vonmises_impl(mu, kappa, size) at numba/cpython/randomimpl.py:1162-1175

numpy.random.mtrand.wald()

Alias to: numpy.random.wald

• defined by wald_impl(mean, scale) at numba/cpython/randomimpl.py:1753-1771

• defined by wald_impl2(mean, scale, size) at numba/cpython/randomimpl.py:1774-1787

numpy.random.mtrand.weibull()

Alias to: numpy.random.weibull

• defined by weibull_impl(a) at numba/cpython/randomimpl.py:1079-1087

• defined by weibull_impl2(a, size) at numba/cpython/randomimpl.py:1090-1103

numpy.random.mtrand.zipf()

Alias to: numpy.random.zipf

• defined by zipf_impl(a) at numba/cpython/randomimpl.py:1790-1806

• defined by zipf_impl(a, size) at numba/cpython/randomimpl.py:1809-1822

Not showing 8 unsupported functions.

supported = 44 / 52 = 84.62%

numpy.testing

This module is not supported.

numpy.testing.overrides

This module is not supported.

numpy.testing.print_coercion_tables

This module is not supported.

numpy.testing.setup

This module is not supported.

numpy.typing

This module is not supported.

numpy.typing.mypy_plugin

This module is not supported.

numpy.typing.setup

This module is not supported.

numpy.version

This module is not supported.