# Listings for numpy

## numpy

numpy.arange()

  - defined by `np_arange(start, /, stop=None, step=None, dtype=None)` at numba/np/arrayobj.py:4980-5045

numpy.array()

  - defined by `impl_np_array(object, dtype=None)` at numba/np/arrayobj.py:5763-5775

numpy.asarray()

  - defined by `np_asarray(a, dtype=None)` at numba/np/arraymath.py:4339-4392

numpy.asarray_chkfinite()

  - defined by `np_asarray_chkfinite(a, dtype=None)` at numba/np/arraymath.py:4504-4526

numpy.ascontiguousarray()

  - defined by `array_ascontiguousarray(a)` at numba/np/arrayobj.py:5239-5250

numpy.asfortranarray()

  - defined by `array_asfortranarray(a)` at numba/np/arrayobj.py:5253-5265

numpy.bartlett()

  - defined by `window_generator.<locals>.window_overload(M)` at numba/np/arraymath.py:4634-4646

numpy.blackman()

  - defined by `window_generator.<locals>.window_overload(M)` at numba/np/arraymath.py:4634-4646

numpy.broadcast_shapes()

  - defined by `ol_numpy_broadcast_shapes(*args)` at numba/np/arrayobj.py:1577-1615

numpy.empty()

  - defined by `ol_np_empty(shape, dtype=<class 'float'>)` at numba/np/arrayobj.py:4508-4527

numpy.eye()

  - defined by `numpy_eye(N, M=None, k=0, dtype=<class 'float'>)` at numba/np/arrayobj.py:4700-4723

numpy.frombuffer()

  - defined by `impl_np_frombuffer(buffer, dtype=<class 'float'>, count=-1, offset=0)` at numba/np/arrayobj.py:5438-5464

numpy.full()

  - defined by `impl_np_full(shape, fill_value, dtype=None)` at numba/np/arrayobj.py:4623-4637

numpy.hamming()

  - defined by `window_generator.<locals>.window_overload(M)` at numba/np/arraymath.py:4634-4646

numpy.hanning()

  - defined by `window_generator.<locals>.window_overload(M)` at numba/np/arraymath.py:4634-4646

numpy.identity()

  - defined by `impl_np_identity(n, dtype=None)` at numba/np/arrayobj.py:4669-4682

numpy.indices()

  - defined by `numpy_indices(dimensions)` at numba/np/arrayobj.py:4765-4790

numpy.isscalar()

  - defined by `np_isscalar(element)` at numba/np/arraymath.py:1029-1035

numpy.kaiser()

  - defined by `np_kaiser(M, beta)` at numba/np/arraymath.py:4752-4771

numpy.ones()

  - defined by `ol_np_ones(shape, dtype=None)` at numba/np/arrayobj.py:4654-4666

numpy.row_stack()

  - defined by `impl_np_vstack(tup)` at numba/np/arrayobj.py:6385-6390

numpy.trapz()

  - defined by `np_trapz(y, x=None, dx=1.0)` at numba/np/arraymath.py:2267-2269

numpy.tri()

  - defined by `np_tri(N, M=None, k=0)` at numba/np/arraymath.py:1973-1984

numpy.tril_indices()

  - defined by `np_tril_indices(n, k=0, m=None)` at numba/np/arraymath.py:2037-2048

numpy.triu_indices()

  - defined by `np_triu_indices(n, k=0, m=None)` at numba/np/arraymath.py:2097-2108

numpy.zeros()

  - defined by `ol_np_zeros(shape, dtype=<class 'float'>)` at numba/np/arrayobj.py:4586-4594

Not showing 42 unsupported functions.

supported = 26 / 68 = 38.24%

## numpy.char

This module is not supported.

## numpy.core

This module is not supported.

## numpy.core.arrayprint

This module is not supported.

## numpy.core.defchararray

This module is not supported.

## numpy.core.einsumfunc

This module is not supported.

## numpy.core.fromnumeric

This module is not supported.

## numpy.core.function_base

This module is not supported.

## numpy.core.getlimits

This module is not supported.

## numpy.core.multiarray

This module is not supported.

## numpy.core.numeric

This module is not supported.

## numpy.core.numerictypes

This module is not supported.

## numpy.core.overrides

This module is not supported.

## numpy.core.records

This module is not supported.

## numpy.core.shape_base

This module is not supported.

## numpy.core.umath

This module is not supported.

## numpy.ctypeslib

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()

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

Not showing 116 unsupported functions.

supported = 1 / 117 = 0.85%

## 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

This module is not supported.

## numpy.lib

This module is not supported.

## numpy.lib.array_utils

This module is not supported.

## numpy.lib.format

This module is not supported.

## numpy.lib.introspect

This module is not supported.

## numpy.lib.mixins

This module is not supported.

## numpy.lib.npyio

This module is not supported.

## numpy.lib.recfunctions

This module is not supported.

## numpy.lib.scimath

This module is not supported.

## numpy.lib.stride_tricks

numpy.lib.stride_tricks.as_strided()

  - defined by `as_strided(x, shape=None, strides=None)` at numba/np/arrayobj.py:6873-6899

Not showing 0 unsupported functions.

supported = 1 / 1 = 100.00%

## numpy.lib.user_array

This module is not supported.

## numpy.linalg

This module is not supported.

## numpy.linalg.lapack_lite

This module is not supported.

## numpy.linalg.linalg

This module is not supported.

## 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:5763-5775

Not showing 84 unsupported functions.

supported = 1 / 85 = 1.18%

## numpy.ma.extras

numpy.ma.extras.nxarray()

  Alias to: `numpy.array`

  - defined by `impl_np_array(object, dtype=None)` at numba/np/arrayobj.py:5763-5775

Not showing 49 unsupported functions.

supported = 1 / 50 = 2.00%

## numpy.ma.mrecords

This module is not supported.

## numpy.ma.testutils

This module is not supported.

## 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:4980-5045

numpy.matlib.array()

  Alias to: `numpy.array`

  - defined by `impl_np_array(object, dtype=None)` at numba/np/arrayobj.py:5763-5775

numpy.matlib.asarray()

  Alias to: `numpy.asarray`

  - defined by `np_asarray(a, dtype=None)` at numba/np/arraymath.py:4339-4392

numpy.matlib.asarray_chkfinite()

  Alias to: `numpy.asarray_chkfinite`

  - defined by `np_asarray_chkfinite(a, dtype=None)` at numba/np/arraymath.py:4504-4526

numpy.matlib.ascontiguousarray()

  Alias to: `numpy.ascontiguousarray`

  - defined by `array_ascontiguousarray(a)` at numba/np/arrayobj.py:5239-5250

numpy.matlib.asfortranarray()

  Alias to: `numpy.asfortranarray`

  - defined by `array_asfortranarray(a)` at numba/np/arrayobj.py:5253-5265

numpy.matlib.bartlett()

  Alias to: `numpy.bartlett`

  - defined by `window_generator.<locals>.window_overload(M)` at numba/np/arraymath.py:4634-4646

numpy.matlib.blackman()

  Alias to: `numpy.blackman`

  - defined by `window_generator.<locals>.window_overload(M)` at numba/np/arraymath.py:4634-4646

numpy.matlib.broadcast_shapes()

  Alias to: `numpy.broadcast_shapes`

  - defined by `ol_numpy_broadcast_shapes(*args)` at numba/np/arrayobj.py:1577-1615

numpy.matlib.frombuffer()

  Alias to: `numpy.frombuffer`

  - defined by `impl_np_frombuffer(buffer, dtype=<class 'float'>, count=-1, offset=0)` at numba/np/arrayobj.py:5438-5464

numpy.matlib.full()

  Alias to: `numpy.full`

  - defined by `impl_np_full(shape, fill_value, dtype=None)` at numba/np/arrayobj.py:4623-4637

numpy.matlib.hamming()

  Alias to: `numpy.hamming`

  - defined by `window_generator.<locals>.window_overload(M)` at numba/np/arraymath.py:4634-4646

numpy.matlib.hanning()

  Alias to: `numpy.hanning`

  - defined by `window_generator.<locals>.window_overload(M)` at numba/np/arraymath.py:4634-4646

numpy.matlib.indices()

  Alias to: `numpy.indices`

  - defined by `numpy_indices(dimensions)` at numba/np/arrayobj.py:4765-4790

numpy.matlib.isscalar()

  Alias to: `numpy.isscalar`

  - defined by `np_isscalar(element)` at numba/np/arraymath.py:1029-1035

numpy.matlib.kaiser()

  Alias to: `numpy.kaiser`

  - defined by `np_kaiser(M, beta)` at numba/np/arraymath.py:4752-4771

numpy.matlib.row_stack()

  Alias to: `numpy.row_stack`

  - defined by `impl_np_vstack(tup)` at numba/np/arrayobj.py:6385-6390

numpy.matlib.trapz()

  Alias to: `numpy.trapz`

  - defined by `np_trapz(y, x=None, dx=1.0)` at numba/np/arraymath.py:2267-2269

numpy.matlib.tri()

  Alias to: `numpy.tri`

  - defined by `np_tri(N, M=None, k=0)` at numba/np/arraymath.py:1973-1984

numpy.matlib.tril_indices()

  Alias to: `numpy.tril_indices`

  - defined by `np_tril_indices(n, k=0, m=None)` at numba/np/arraymath.py:2037-2048

numpy.matlib.triu_indices()

  Alias to: `numpy.triu_indices`

  - defined by `np_triu_indices(n, k=0, m=None)` at numba/np/arraymath.py:2097-2108

Not showing 50 unsupported functions.

supported = 21 / 71 = 29.58%

## 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:1029-1035

Not showing 3 unsupported functions.

supported = 1 / 4 = 25.00%

## 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.random

This module is not supported.

## numpy.random.bit_generator

This module is not supported.

## numpy.random.mtrand

This module is not supported.

## numpy.rec

This module is not supported.

## numpy.strings

This module is not supported.

## 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.typing

This module is not supported.

## numpy.typing.mypy_plugin

This module is not supported.

## numpy.version

This module is not supported.