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:0-34defined by
unicode_repeat(a, b)
at numba/cpython/unicode.py:1927-1936defined by
charseq_repeat(a, b)
at numba/cpython/charseq.py:399-416defined 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:876-883defined 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:1178-1231defined 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:1250-1256defined 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:2083-2090defined 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:932-937defined by
exponential_impl(scale, size)
at numba/cpython/randomimpl.py:940-953defined by
exponential_impl()
at numba/cpython/randomimpl.py:956-961
- numpy.random.f()
defined by
f_impl(dfnum, dfden)
at numba/cpython/randomimpl.py:1275-1283defined 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:761-765defined by
ol_np_random_gamma2(shape, scale)
at numba/cpython/randomimpl.py:768-775defined 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:1304-1325defined 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:1344-1352defined 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:1371-1392defined 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:1412-1414defined by
laplace_impl1(loc)
at numba/cpython/randomimpl.py:1417-1420defined by
laplace_impl2(loc, scale)
at numba/cpython/randomimpl.py:1423-1427defined 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:1454-1456defined by
logistic_impl1(loc)
at numba/cpython/randomimpl.py:1459-1462defined by
logistic_impl2(loc, scale)
at numba/cpython/randomimpl.py:1465-1469defined 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:981-983defined by
np_log_normal_impl1(mean)
at numba/cpython/randomimpl.py:986-989defined by
np_log_normal_impl2(mean, sigma)
at numba/cpython/randomimpl.py:992-997defined 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:1514-1517defined 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:2163-2171defined 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:288-291defined by
np_gauss_impl1(loc)
at numba/cpython/randomimpl.py:294-297defined by
np_gauss_impl2(loc, scale)
at numba/cpython/randomimpl.py:300-310defined 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:1039-1047defined 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:1551-1553defined by
poisson_impl1(lam)
at numba/cpython/randomimpl.py:1556-1619defined 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:1640-1649defined 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:568-571defined by
np_randint_impl_2(low, high)
at numba/cpython/randomimpl.py:574-596defined 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:241-252defined 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:241-252defined by
random_impl1(size=None)
at numba/cpython/randomimpl.py:255-271
- numpy.random.ranf()
defined by
random_impl0()
at numba/cpython/randomimpl.py:241-252defined by
random_impl1(size=None)
at numba/cpython/randomimpl.py:255-271
- numpy.random.rayleigh()
defined by
rayleigh_impl0()
at numba/cpython/randomimpl.py:1668-1670defined by
rayleigh_impl1(scale)
at numba/cpython/randomimpl.py:1673-1680defined by
rayleigh_impl2(scale, size)
at numba/cpython/randomimpl.py:1685-1698
- numpy.random.sample()
defined by
random_impl0()
at numba/cpython/randomimpl.py:241-252defined 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:1701-1706defined 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:956-961defined 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:761-765defined 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:288-291defined 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:1725-1734defined 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:717-733defined 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:620-622defined by
np_uniform_impl2(low, high)
at numba/cpython/randomimpl.py:638-648defined 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:1112-1115defined 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:1753-1771defined 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:1079-1087defined 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:1790-1806defined 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:876-883defined 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:1178-1231defined 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:1250-1256defined 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:2083-2090defined 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:932-937defined by
exponential_impl(scale, size)
at numba/cpython/randomimpl.py:940-953defined 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:1275-1283defined 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:761-765defined by
ol_np_random_gamma2(shape, scale)
at numba/cpython/randomimpl.py:768-775defined 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:1304-1325defined 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:1344-1352defined 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:1371-1392defined 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:1412-1414defined by
laplace_impl1(loc)
at numba/cpython/randomimpl.py:1417-1420defined by
laplace_impl2(loc, scale)
at numba/cpython/randomimpl.py:1423-1427defined 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:1454-1456defined by
logistic_impl1(loc)
at numba/cpython/randomimpl.py:1459-1462defined by
logistic_impl2(loc, scale)
at numba/cpython/randomimpl.py:1465-1469defined 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:981-983defined by
np_log_normal_impl1(mean)
at numba/cpython/randomimpl.py:986-989defined by
np_log_normal_impl2(mean, sigma)
at numba/cpython/randomimpl.py:992-997defined 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:1514-1517defined 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:2163-2171defined 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:288-291defined by
np_gauss_impl1(loc)
at numba/cpython/randomimpl.py:294-297defined by
np_gauss_impl2(loc, scale)
at numba/cpython/randomimpl.py:300-310defined 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:1039-1047defined 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:1551-1553defined by
poisson_impl1(lam)
at numba/cpython/randomimpl.py:1556-1619defined 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:1640-1649defined 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:568-571defined by
np_randint_impl_2(low, high)
at numba/cpython/randomimpl.py:574-596defined 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:241-252defined 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:241-252defined 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:241-252defined 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:1668-1670defined by
rayleigh_impl1(scale)
at numba/cpython/randomimpl.py:1673-1680defined 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:241-252defined 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:1701-1706defined 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:956-961defined 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:761-765defined 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:288-291defined 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:1725-1734defined 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:717-733defined 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:620-622defined by
np_uniform_impl2(low, high)
at numba/cpython/randomimpl.py:638-648defined 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:1112-1115defined 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:1753-1771defined 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:1079-1087defined 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:1790-1806defined 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.