Listings for numpy

numpy

numpy.all()

• defined by np_all(a) at numba/np/arraymath.py:801-810

numpy.allclose()

• defined by np_allclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:839-904

numpy.amax()

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.amin()

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.angle()

• defined by ov_np_angle(z, deg=False) at numba/np/arraymath.py:3219-3249

numpy.any()

• defined by np_any(a) at numba/np/arraymath.py:907-916

numpy.append()

• defined by np_append(arr, values, axis=None) at numba/np/arrayobj.py:2199-2222

numpy.arange()

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4712-4777

numpy.argmax()

• defined by array_argmax(a, axis=None) at numba/np/arraymath.py:781-798

numpy.argmin()

• defined by array_argmin(a, axis=None) at numba/np/arraymath.py:655-672

numpy.argpartition()

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1902-1924

numpy.argsort()

• defined by <class 'abc.Numpy_redirect_argsort'>

numpy.argwhere()

• defined by np_argwhere(a) at numba/np/arraymath.py:2931-2953

numpy.around()

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.array()

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.array_equal()

• defined by np_array_equal(a1, a2) at numba/np/arraymath.py:3564-3583

numpy.array_split()

• defined by np_array_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6159-6219

numpy.asarray()

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.asarray_chkfinite()

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4431-4453

numpy.ascontiguousarray()

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4956-4967

numpy.asfarray()

• defined by np_asfarray(a, dtype=<class 'numpy.float64'>) at numba/np/arraymath.py:4323-4335

numpy.asfortranarray()

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4970-4982

numpy.atleast_1d()

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5584-5587

numpy.atleast_2d()

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5590-5593

numpy.atleast_3d()

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5596-5599

numpy.average()

• defined by np_average(a, axis=None, weights=None) at numba/np/arraymath.py:919-953

numpy.bartlett()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.bincount()

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3619-3674

numpy.blackman()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.broadcast_arrays()

• defined by numpy_broadcast_arrays(*args) at numba/np/arrayobj.py:1561-1616

numpy.broadcast_shapes()

• defined by ol_numpy_broadcast_shapes(*args) at numba/np/arrayobj.py:1520-1558

numpy.broadcast_to()

• defined by numpy_broadcast_to(array, shape) at numba/np/arrayobj.py:1460-1500

numpy.clip()

• defined by np_clip(a, a_min, a_max, out=None) at numba/np/arrayobj.py:2293-2412

numpy.column_stack()

• defined by impl_column_stack(tup) at numba/np/arrayobj.py:5891-5896

numpy.concatenate()

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.convolve()

• defined by np_convolve(a, v, mode='full') at numba/np/arraymath.py:4246-4265

numpy.copy()

• defined by impl_numpy_copy(a) at numba/np/arrayobj.py:4871-4876

numpy.corrcoef()

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/np/arraymath.py:2894-2924

numpy.correlate()

• defined by _np_correlate(a, v, mode='valid') at numba/np/arraymath.py:4201-4243

numpy.count_nonzero()

• defined by np_count_nonzero(a, axis=None) at numba/np/arraymath.py:3457-3471

numpy.cov()

• defined by np_cov(m, y=None, rowvar=True, bias=False, ddof=None) at numba/np/arraymath.py:2835-2891

numpy.cross()

• defined by np_cross(a, b) at numba/np/arraymath.py:4675-4697

numpy.cumprod()

• defined by array_cumprod(a) at numba/np/arraymath.py:400-422

numpy.cumsum()

• defined by array_cumsum(a) at numba/np/arraymath.py:375-397

numpy.delete()

• defined by np_delete(arr, obj) at numba/np/arraymath.py:3478-3522

numpy.diag()

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4573-4609

numpy.diagflat()

• defined by numpy_diagflat(v, k=0) at numba/np/arrayobj.py:4612-4635

numpy.diff()

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3525-3561

numpy.digitize()

• defined by np_digitize(x, bins, right=False) at numba/np/arraymath.py:3780-3906

numpy.dot()

• defined by dot_2(left, right) at numba/np/linalg.py:525-530

• defined by dot_3(left, right, out) at numba/np/linalg.py:784-817

numpy.dsplit()

• defined by numpy_dsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6291-6308

numpy.dstack()

• defined by impl_np_dstack(tup) at numba/np/arrayobj.py:6055-6060

numpy.ediff1d()

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/np/arraymath.py:2124-2177

numpy.empty()

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

numpy.empty_like()

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4389-4411

numpy.expand_dims()

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5521-5533

numpy.extract()

• defined by np_extract(condition, arr) at numba/np/arraymath.py:4338-4361

numpy.eye()

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/np/arrayobj.py:4547-4570

numpy.fill_diagonal()

• defined by np_fill_diagonal(a, val, wrap=False) at numba/np/arraymath.py:3058-3088

numpy.flatnonzero()

• defined by np_flatnonzero(a) at numba/np/arraymath.py:2956-2971

numpy.flip()

• defined by np_flip(m) at numba/np/arrayobj.py:6145-6156

numpy.fliplr()

• defined by np_flip_lr(m) at numba/np/arrayobj.py:6081-6095

numpy.flipud()

• defined by np_flip_ud(m) at numba/np/arrayobj.py:6098-6112

numpy.frombuffer()

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5060-5085

numpy.full()

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4470-4484

numpy.full_like()

• defined by impl_np_full_like(a, fill_value, dtype=None) at numba/np/arrayobj.py:4487-4498

numpy.geomspace()

• defined by numpy_geomspace(start, stop, num=50) at numba/np/arrayobj.py:1910-1978

numpy.hamming()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.hanning()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.histogram()

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3912-3992

numpy.hsplit()

• defined by numpy_hsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6269-6288

numpy.hstack()

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5970-5975

numpy.identity()

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4516-4529

numpy.imag()

• defined by np_imag(val) at numba/np/arraymath.py:3432-3437

numpy.interp()

• defined by np_interp(x, xp, fp) at numba/np/arraymath.py:2609-2647

numpy.intersect1d()

• defined by jit_np_intersect1d(ar1, ar2) at numba/np/arraymath.py:3586-3606

numpy.isclose()

• defined by isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:1125-1179

numpy.iscomplex()

• defined by np_iscomplex(x) at numba/np/arraymath.py:969-974

numpy.iscomplexobj()

• defined by iscomplexobj(x) at numba/np/arraymath.py:985-1002

numpy.isneginf()

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1037-1040

numpy.isposinf()

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1043-1046

numpy.isreal()

• defined by np_isreal(x) at numba/np/arraymath.py:977-982

numpy.isrealobj()

• defined by isrealobj(x) at numba/np/arraymath.py:1005-1012

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:4608-4627

numpy.kron()

• defined by kron_impl(a, b) at numba/np/linalg.py:2785-2839

numpy.linspace()

• defined by numpy_linspace(start, stop, num=50) at numba/np/arrayobj.py:4780-4817

numpy.logspace()

• defined by numpy_logspace(start, stop, num=50) at numba/np/arrayobj.py:1894-1907

numpy.max()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.mean()

• defined by array_mean(a) at numba/np/arraymath.py:425-445

numpy.median()

• defined by np_median(a) at numba/np/arraymath.py:1588-1600

numpy.min()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.nan_to_num()

• defined by nan_to_num_impl(x, copy=True, nan=0.0) at numba/np/arrayobj.py:6753-6817

numpy.nancumprod()

• defined by np_nancumprod(a) at numba/np/arraymath.py:1300-1322

numpy.nancumsum()

• defined by np_nancumsum(a) at numba/np/arraymath.py:1325-1347

numpy.nanmax()

• defined by np_nanmax(a) at numba/np/arraymath.py:1191-1197

numpy.nanmean()

• defined by np_nanmean(a) at numba/np/arraymath.py:1200-1217

numpy.nanmedian()

• defined by np_nanmedian(a) at numba/np/arraymath.py:1774-1796

numpy.nanmin()

• defined by np_nanmin(a) at numba/np/arraymath.py:1182-1188

numpy.nanpercentile()

• defined by np_nanpercentile(a, q) at numba/np/arraymath.py:1753-1757

numpy.nanprod()

• defined by np_nanprod(a) at numba/np/arraymath.py:1278-1297

numpy.nanquantile()

• defined by np_nanquantile(a, q) at numba/np/arraymath.py:1767-1771

numpy.nanstd()

• defined by np_nanstd(a) at numba/np/arraymath.py:1245-1253

numpy.nansum()

• defined by np_nansum(a) at numba/np/arraymath.py:1256-1275

numpy.nanvar()

• defined by np_nanvar(a) at numba/np/arraymath.py:1220-1242

numpy.nonzero()

• defined by <class 'abc.Numpy_redirect_nonzero'>

numpy.ones()

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4501-4513

numpy.ones_like()

• defined by ol_np_ones_like(a, dtype=None) at numba/np/arrayobj.py:4456-4467

numpy.outer()

• defined by outer_impl(a, b, out=None) at numba/np/linalg.py:2708-2719

numpy.partition()

• defined by np_partition(a, kth) at numba/np/arraymath.py:1877-1899

numpy.percentile()

• defined by np_percentile(a, q) at numba/np/arraymath.py:1746-1750

numpy.prod()

• defined by array_prod(a) at numba/np/arraymath.py:358-372

numpy.ptp()

• defined by np_ptp(a) at numba/np/arraymath.py:1425-1451

numpy.quantile()

• defined by np_quantile(a, q) at numba/np/arraymath.py:1760-1764

numpy.ravel()

• defined by <class 'abc.Numpy_redirect_ravel'>

numpy.real()

• defined by np_real(val) at numba/np/arraymath.py:3424-3429

numpy.repeat()

• defined by np_repeat(a, repeats) at numba/np/arrayobj.py:2570-2612

numpy.reshape()

• defined by np_reshape(a, newshape) at numba/np/arrayobj.py:2145-2149

numpy.resize()

• defined by numpy_resize(a, new_shape) at numba/np/arrayobj.py:2152-2196

numpy.roll()

• defined by np_roll(a, shift) at numba/np/arraymath.py:2312-2332

numpy.roots()

• defined by roots_impl(p) at numba/np/polynomial.py:15-60

numpy.rot90()

• defined by numpy_rot90(m, k=1) at numba/np/arrayobj.py:1981-2005

numpy.round()

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.row_stack()

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

numpy.searchsorted()

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3733-3777

numpy.select()

• defined by np_select(condlist, choicelist, default=0) at numba/np/arraymath.py:4364-4412

numpy.shape()

• defined by np_shape(a) at numba/np/arrayobj.py:2548-2555

numpy.sinc()

• defined by impl_np_sinc(x) at numba/np/arraymath.py:3199-3216

numpy.sort()

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6361-6371

numpy.split()

• defined by np_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6222-6246

numpy.stack()

• defined by impl_np_stack(arrays, axis=0) at numba/np/arrayobj.py:5926-5931

numpy.std()

• defined by array_std(a) at numba/np/arraymath.py:466-473

numpy.sum()

• defined by <class 'abc.Numpy_redirect_sum'>

numpy.swapaxes()

• defined by numpy_swapaxes(a, axis1, axis2) at numba/np/arrayobj.py:6617-6646

numpy.take()

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4638-4683

numpy.take_along_axis()

• defined by arr_take_along_axis(arr, indices, axis) at numba/np/arrayobj.py:6709-6750

numpy.trace()

• defined by matrix_trace_impl(a, offset=0) at numba/np/linalg.py:2642-2670

numpy.transpose()

• defined by numpy_transpose(a, axes=None) at numba/np/arrayobj.py:1859-1871

numpy.trapz()

• defined by np_trapz(y, x=None, dx=1.0) at numba/np/arraymath.py:2214-2233

numpy.tri()

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

numpy.tril()

• defined by my_tril(m, k=0) at numba/np/arraymath.py:1980-2004

numpy.tril_indices()

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

numpy.tril_indices_from()

• defined by np_tril_indices_from(arr, k=0) at numba/np/arraymath.py:2021-2032

numpy.trim_zeros()

• defined by np_trim_zeros(filt, trim='fb') at numba/np/arraymath.py:4742-4772

numpy.triu()

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2041-2064

numpy.triu_indices()

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

numpy.triu_indices_from()

• defined by np_triu_indices_from(arr, k=0) at numba/np/arraymath.py:2081-2092

numpy.union1d()

• defined by np_union1d(ar1, ar2) at numba/np/arraymath.py:4415-4428

numpy.unique()

• defined by np_unique(ar) at numba/np/arrayobj.py:2560-2567

numpy.vander()

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2272-2309

numpy.var()

• defined by array_var(a) at numba/np/arraymath.py:448-463

numpy.vdot()

• defined by vdot(left, right) at numba/np/linalg.py:585-613

numpy.vsplit()

• defined by numpy_vsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6249-6266

numpy.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

numpy.where()

• defined by ov_np_where(condition) at numba/np/arraymath.py:3359-3367

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3370-3421

numpy.zeros()

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

numpy.zeros_like()

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4444-4453

Not showing 149 unsupported functions.

supported = 158 / 307 = 51.47%

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.all()

Alias to: numpy.all

• defined by np_all(a) at numba/np/arraymath.py:801-810

numpy.core.allclose()

Alias to: numpy.allclose

• defined by np_allclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:839-904

numpy.core.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.core.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.core.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:907-916

numpy.core.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4712-4777

numpy.core.argmax()

Alias to: numpy.argmax

• defined by array_argmax(a, axis=None) at numba/np/arraymath.py:781-798

numpy.core.argmin()

Alias to: numpy.argmin

• defined by array_argmin(a, axis=None) at numba/np/arraymath.py:655-672

numpy.core.argpartition()

Alias to: numpy.argpartition

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1902-1924

numpy.core.argsort()

Alias to: numpy.argsort

• defined by <class 'abc.Numpy_redirect_argsort'>

numpy.core.argwhere()

Alias to: numpy.argwhere

• defined by np_argwhere(a) at numba/np/arraymath.py:2931-2953

numpy.core.around()

Alias to: numpy.around

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.core.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.core.array_equal()

Alias to: numpy.array_equal

• defined by np_array_equal(a1, a2) at numba/np/arraymath.py:3564-3583

numpy.core.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.core.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4956-4967

numpy.core.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4970-4982

numpy.core.atleast_1d()

Alias to: numpy.atleast_1d

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5584-5587

numpy.core.atleast_2d()

Alias to: numpy.atleast_2d

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5590-5593

numpy.core.atleast_3d()

Alias to: numpy.atleast_3d

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5596-5599

numpy.core.clip()

Alias to: numpy.clip

• defined by np_clip(a, a_min, a_max, out=None) at numba/np/arrayobj.py:2293-2412

numpy.core.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.core.convolve()

Alias to: numpy.convolve

• defined by np_convolve(a, v, mode='full') at numba/np/arraymath.py:4246-4265

numpy.core.correlate()

Alias to: numpy.correlate

• defined by _np_correlate(a, v, mode='valid') at numba/np/arraymath.py:4201-4243

numpy.core.count_nonzero()

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(a, axis=None) at numba/np/arraymath.py:3457-3471

numpy.core.cross()

Alias to: numpy.cross

• defined by np_cross(a, b) at numba/np/arraymath.py:4675-4697

numpy.core.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:400-422

numpy.core.cumsum()

Alias to: numpy.cumsum

• defined by array_cumsum(a) at numba/np/arraymath.py:375-397

numpy.core.dot()

Alias to: numpy.dot

• defined by dot_2(left, right) at numba/np/linalg.py:525-530

• defined by dot_3(left, right, out) at numba/np/linalg.py:784-817

numpy.core.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

numpy.core.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4389-4411

numpy.core.flatnonzero()

Alias to: numpy.flatnonzero

• defined by np_flatnonzero(a) at numba/np/arraymath.py:2956-2971

numpy.core.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5060-5085

numpy.core.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4470-4484

numpy.core.full_like()

Alias to: numpy.full_like

• defined by impl_np_full_like(a, fill_value, dtype=None) at numba/np/arrayobj.py:4487-4498

numpy.core.geomspace()

Alias to: numpy.geomspace

• defined by numpy_geomspace(start, stop, num=50) at numba/np/arrayobj.py:1910-1978

numpy.core.hstack()

Alias to: numpy.hstack

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5970-5975

numpy.core.identity()

Alias to: numpy.identity

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4516-4529

numpy.core.isclose()

Alias to: numpy.isclose

• defined by isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:1125-1179

numpy.core.isscalar()

Alias to: numpy.isscalar

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

numpy.core.linspace()

Alias to: numpy.linspace

• defined by numpy_linspace(start, stop, num=50) at numba/np/arrayobj.py:4780-4817

numpy.core.logspace()

Alias to: numpy.logspace

• defined by numpy_logspace(start, stop, num=50) at numba/np/arrayobj.py:1894-1907

numpy.core.max()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.core.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:425-445

numpy.core.min()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.core.nonzero()

Alias to: numpy.nonzero

• defined by <class 'abc.Numpy_redirect_nonzero'>

numpy.core.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4501-4513

numpy.core.ones_like()

Alias to: numpy.ones_like

• defined by ol_np_ones_like(a, dtype=None) at numba/np/arrayobj.py:4456-4467

numpy.core.outer()

Alias to: numpy.outer

• defined by outer_impl(a, b, out=None) at numba/np/linalg.py:2708-2719

numpy.core.partition()

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/np/arraymath.py:1877-1899

numpy.core.prod()

Alias to: numpy.prod

• defined by array_prod(a) at numba/np/arraymath.py:358-372

numpy.core.ptp()

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/np/arraymath.py:1425-1451

numpy.core.ravel()

Alias to: numpy.ravel

• defined by <class 'abc.Numpy_redirect_ravel'>

numpy.core.repeat()

Alias to: numpy.repeat

• defined by np_repeat(a, repeats) at numba/np/arrayobj.py:2570-2612

numpy.core.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, newshape) at numba/np/arrayobj.py:2145-2149

numpy.core.resize()

Alias to: numpy.resize

• defined by numpy_resize(a, new_shape) at numba/np/arrayobj.py:2152-2196

numpy.core.roll()

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/np/arraymath.py:2312-2332

numpy.core.round()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.core.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.core.searchsorted()

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3733-3777

numpy.core.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2548-2555

numpy.core.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6361-6371

numpy.core.stack()

Alias to: numpy.stack

• defined by impl_np_stack(arrays, axis=0) at numba/np/arrayobj.py:5926-5931

numpy.core.std()

Alias to: numpy.std

• defined by array_std(a) at numba/np/arraymath.py:466-473

numpy.core.sum()

Alias to: numpy.sum

• defined by <class 'abc.Numpy_redirect_sum'>

numpy.core.swapaxes()

Alias to: numpy.swapaxes

• defined by numpy_swapaxes(a, axis1, axis2) at numba/np/arrayobj.py:6617-6646

numpy.core.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4638-4683

numpy.core.trace()

Alias to: numpy.trace

• defined by matrix_trace_impl(a, offset=0) at numba/np/linalg.py:2642-2670

numpy.core.transpose()

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/np/arrayobj.py:1859-1871

numpy.core.var()

Alias to: numpy.var

• defined by array_var(a) at numba/np/arraymath.py:448-463

numpy.core.vdot()

Alias to: numpy.vdot

• defined by vdot(left, right) at numba/np/linalg.py:585-613

numpy.core.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

numpy.core.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3359-3367

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3370-3421

numpy.core.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

numpy.core.zeros_like()

Alias to: numpy.zeros_like

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4444-4453

Not showing 72 unsupported functions.

supported = 75 / 147 = 51.02%

numpy.core.arrayprint

numpy.core.arrayprint.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:907-916

numpy.core.arrayprint.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.core.arrayprint.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.core.arrayprint.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

Not showing 21 unsupported functions.

supported = 4 / 25 = 16.00%

numpy.core.defchararray

numpy.core.defchararray.narray()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

Not showing 54 unsupported functions.

supported = 1 / 55 = 1.82%

numpy.core.einsumfunc

This module is not supported.

numpy.core.fromnumeric

numpy.core.fromnumeric.all()

Alias to: numpy.all

• defined by np_all(a) at numba/np/arraymath.py:801-810

numpy.core.fromnumeric.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.core.fromnumeric.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.core.fromnumeric.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:907-916

numpy.core.fromnumeric.argmax()

Alias to: numpy.argmax

• defined by array_argmax(a, axis=None) at numba/np/arraymath.py:781-798

numpy.core.fromnumeric.argmin()

Alias to: numpy.argmin

• defined by array_argmin(a, axis=None) at numba/np/arraymath.py:655-672

numpy.core.fromnumeric.argpartition()

Alias to: numpy.argpartition

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1902-1924

numpy.core.fromnumeric.argsort()

Alias to: numpy.argsort

• defined by <class 'abc.Numpy_redirect_argsort'>

numpy.core.fromnumeric.around()

Alias to: numpy.around

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.core.fromnumeric.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.core.fromnumeric.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.core.fromnumeric.clip()

Alias to: numpy.clip

• defined by np_clip(a, a_min, a_max, out=None) at numba/np/arrayobj.py:2293-2412

numpy.core.fromnumeric.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.core.fromnumeric.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:400-422

numpy.core.fromnumeric.cumsum()

Alias to: numpy.cumsum

• defined by array_cumsum(a) at numba/np/arraymath.py:375-397

numpy.core.fromnumeric.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:425-445

numpy.core.fromnumeric.nonzero()

Alias to: numpy.nonzero

• defined by <class 'abc.Numpy_redirect_nonzero'>

numpy.core.fromnumeric.partition()

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/np/arraymath.py:1877-1899

numpy.core.fromnumeric.prod()

Alias to: numpy.prod

• defined by array_prod(a) at numba/np/arraymath.py:358-372

numpy.core.fromnumeric.ptp()

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/np/arraymath.py:1425-1451

numpy.core.fromnumeric.ravel()

Alias to: numpy.ravel

• defined by <class 'abc.Numpy_redirect_ravel'>

numpy.core.fromnumeric.repeat()

Alias to: numpy.repeat

• defined by np_repeat(a, repeats) at numba/np/arrayobj.py:2570-2612

numpy.core.fromnumeric.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, newshape) at numba/np/arrayobj.py:2145-2149

numpy.core.fromnumeric.resize()

Alias to: numpy.resize

• defined by numpy_resize(a, new_shape) at numba/np/arrayobj.py:2152-2196

numpy.core.fromnumeric.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.core.fromnumeric.searchsorted()

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3733-3777

numpy.core.fromnumeric.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2548-2555

numpy.core.fromnumeric.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6361-6371

numpy.core.fromnumeric.std()

Alias to: numpy.std

• defined by array_std(a) at numba/np/arraymath.py:466-473

numpy.core.fromnumeric.sum()

Alias to: numpy.sum

• defined by <class 'abc.Numpy_redirect_sum'>

numpy.core.fromnumeric.swapaxes()

Alias to: numpy.swapaxes

• defined by numpy_swapaxes(a, axis1, axis2) at numba/np/arrayobj.py:6617-6646

numpy.core.fromnumeric.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4638-4683

numpy.core.fromnumeric.trace()

Alias to: numpy.trace

• defined by matrix_trace_impl(a, offset=0) at numba/np/linalg.py:2642-2670

numpy.core.fromnumeric.transpose()

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/np/arrayobj.py:1859-1871

numpy.core.fromnumeric.var()

Alias to: numpy.var

• defined by array_var(a) at numba/np/arraymath.py:448-463

Not showing 12 unsupported functions.

supported = 35 / 47 = 74.47%

numpy.core.function_base

numpy.core.function_base.geomspace()

Alias to: numpy.geomspace

• defined by numpy_geomspace(start, stop, num=50) at numba/np/arrayobj.py:1910-1978

numpy.core.function_base.linspace()

Alias to: numpy.linspace

• defined by numpy_linspace(start, stop, num=50) at numba/np/arrayobj.py:4780-4817

numpy.core.function_base.logspace()

Alias to: numpy.logspace

• defined by numpy_logspace(start, stop, num=50) at numba/np/arrayobj.py:1894-1907

Not showing 5 unsupported functions.

supported = 3 / 8 = 37.50%

numpy.core.getlimits

numpy.core.getlimits.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

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:4712-4777

numpy.core.multiarray.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.core.multiarray.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.core.multiarray.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4956-4967

numpy.core.multiarray.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4970-4982

numpy.core.multiarray.bincount()

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3619-3674

numpy.core.multiarray.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.core.multiarray.dot()

Alias to: numpy.dot

• defined by dot_2(left, right) at numba/np/linalg.py:525-530

• defined by dot_3(left, right, out) at numba/np/linalg.py:784-817

numpy.core.multiarray.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

numpy.core.multiarray.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4389-4411

numpy.core.multiarray.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5060-5085

numpy.core.multiarray.vdot()

Alias to: numpy.vdot

• defined by vdot(left, right) at numba/np/linalg.py:585-613

numpy.core.multiarray.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3359-3367

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3370-3421

numpy.core.multiarray.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

Not showing 50 unsupported functions.

supported = 14 / 64 = 21.88%

numpy.core.numeric

numpy.core.numeric.all()

Alias to: numpy.all

• defined by np_all(a) at numba/np/arraymath.py:801-810

numpy.core.numeric.allclose()

Alias to: numpy.allclose

• defined by np_allclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:839-904

numpy.core.numeric.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.core.numeric.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.core.numeric.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:907-916

numpy.core.numeric.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4712-4777

numpy.core.numeric.argmax()

Alias to: numpy.argmax

• defined by array_argmax(a, axis=None) at numba/np/arraymath.py:781-798

numpy.core.numeric.argmin()

Alias to: numpy.argmin

• defined by array_argmin(a, axis=None) at numba/np/arraymath.py:655-672

numpy.core.numeric.argpartition()

Alias to: numpy.argpartition

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1902-1924

numpy.core.numeric.argsort()

Alias to: numpy.argsort

• defined by <class 'abc.Numpy_redirect_argsort'>

numpy.core.numeric.argwhere()

Alias to: numpy.argwhere

• defined by np_argwhere(a) at numba/np/arraymath.py:2931-2953

numpy.core.numeric.around()

Alias to: numpy.around

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.core.numeric.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.core.numeric.array_equal()

Alias to: numpy.array_equal

• defined by np_array_equal(a1, a2) at numba/np/arraymath.py:3564-3583

numpy.core.numeric.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.core.numeric.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4956-4967

numpy.core.numeric.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4970-4982

numpy.core.numeric.clip()

Alias to: numpy.clip

• defined by np_clip(a, a_min, a_max, out=None) at numba/np/arrayobj.py:2293-2412

numpy.core.numeric.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.core.numeric.convolve()

Alias to: numpy.convolve

• defined by np_convolve(a, v, mode='full') at numba/np/arraymath.py:4246-4265

numpy.core.numeric.correlate()

Alias to: numpy.correlate

• defined by _np_correlate(a, v, mode='valid') at numba/np/arraymath.py:4201-4243

numpy.core.numeric.count_nonzero()

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(a, axis=None) at numba/np/arraymath.py:3457-3471

numpy.core.numeric.cross()

Alias to: numpy.cross

• defined by np_cross(a, b) at numba/np/arraymath.py:4675-4697

numpy.core.numeric.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:400-422

numpy.core.numeric.cumsum()

Alias to: numpy.cumsum

• defined by array_cumsum(a) at numba/np/arraymath.py:375-397

numpy.core.numeric.dot()

Alias to: numpy.dot

• defined by dot_2(left, right) at numba/np/linalg.py:525-530

• defined by dot_3(left, right, out) at numba/np/linalg.py:784-817

numpy.core.numeric.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

numpy.core.numeric.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4389-4411

numpy.core.numeric.flatnonzero()

Alias to: numpy.flatnonzero

• defined by np_flatnonzero(a) at numba/np/arraymath.py:2956-2971

numpy.core.numeric.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5060-5085

numpy.core.numeric.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4470-4484

numpy.core.numeric.full_like()

Alias to: numpy.full_like

• defined by impl_np_full_like(a, fill_value, dtype=None) at numba/np/arrayobj.py:4487-4498

numpy.core.numeric.identity()

Alias to: numpy.identity

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4516-4529

numpy.core.numeric.isclose()

Alias to: numpy.isclose

• defined by isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:1125-1179

numpy.core.numeric.isscalar()

Alias to: numpy.isscalar

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

numpy.core.numeric.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:425-445

numpy.core.numeric.nonzero()

Alias to: numpy.nonzero

• defined by <class 'abc.Numpy_redirect_nonzero'>

numpy.core.numeric.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4501-4513

numpy.core.numeric.ones_like()

Alias to: numpy.ones_like

• defined by ol_np_ones_like(a, dtype=None) at numba/np/arrayobj.py:4456-4467

numpy.core.numeric.outer()

Alias to: numpy.outer

• defined by outer_impl(a, b, out=None) at numba/np/linalg.py:2708-2719

numpy.core.numeric.partition()

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/np/arraymath.py:1877-1899

numpy.core.numeric.prod()

Alias to: numpy.prod

• defined by array_prod(a) at numba/np/arraymath.py:358-372

numpy.core.numeric.ptp()

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/np/arraymath.py:1425-1451

numpy.core.numeric.ravel()

Alias to: numpy.ravel

• defined by <class 'abc.Numpy_redirect_ravel'>

numpy.core.numeric.repeat()

Alias to: numpy.repeat

• defined by np_repeat(a, repeats) at numba/np/arrayobj.py:2570-2612

numpy.core.numeric.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, newshape) at numba/np/arrayobj.py:2145-2149

numpy.core.numeric.resize()

Alias to: numpy.resize

• defined by numpy_resize(a, new_shape) at numba/np/arrayobj.py:2152-2196

numpy.core.numeric.roll()

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/np/arraymath.py:2312-2332

numpy.core.numeric.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.core.numeric.searchsorted()

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3733-3777

numpy.core.numeric.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2548-2555

numpy.core.numeric.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6361-6371

numpy.core.numeric.std()

Alias to: numpy.std

• defined by array_std(a) at numba/np/arraymath.py:466-473

numpy.core.numeric.sum()

Alias to: numpy.sum

• defined by <class 'abc.Numpy_redirect_sum'>

numpy.core.numeric.swapaxes()

Alias to: numpy.swapaxes

• defined by numpy_swapaxes(a, axis1, axis2) at numba/np/arrayobj.py:6617-6646

numpy.core.numeric.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4638-4683

numpy.core.numeric.trace()

Alias to: numpy.trace

• defined by matrix_trace_impl(a, offset=0) at numba/np/linalg.py:2642-2670

numpy.core.numeric.transpose()

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/np/arrayobj.py:1859-1871

numpy.core.numeric.var()

Alias to: numpy.var

• defined by array_var(a) at numba/np/arraymath.py:448-463

numpy.core.numeric.vdot()

Alias to: numpy.vdot

• defined by vdot(left, right) at numba/np/linalg.py:585-613

numpy.core.numeric.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3359-3367

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3370-3421

numpy.core.numeric.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

numpy.core.numeric.zeros_like()

Alias to: numpy.zeros_like

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4444-4453

Not showing 74 unsupported functions.

supported = 63 / 137 = 45.99%

numpy.core.numerictypes

numpy.core.numerictypes.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

Not showing 18 unsupported functions.

supported = 1 / 19 = 5.26%

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:5384-5396

numpy.core.shape_base.atleast_1d()

Alias to: numpy.atleast_1d

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5584-5587

numpy.core.shape_base.atleast_2d()

Alias to: numpy.atleast_2d

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5590-5593

numpy.core.shape_base.atleast_3d()

Alias to: numpy.atleast_3d

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5596-5599

numpy.core.shape_base.hstack()

Alias to: numpy.hstack

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5970-5975

numpy.core.shape_base.stack()

Alias to: numpy.stack

• defined by impl_np_stack(arrays, axis=0) at numba/np/arrayobj.py:5926-5931

numpy.core.shape_base.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

Not showing 3 unsupported functions.

supported = 7 / 10 = 70.00%

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:4712-4777

numpy.core.umath.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.core.umath.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.core.umath.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4956-4967

numpy.core.umath.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4970-4982

numpy.core.umath.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

numpy.core.umath.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5060-5085

numpy.core.umath.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

Not showing 56 unsupported functions.

supported = 8 / 64 = 12.50%

numpy.core.umath_tests

This module is not supported.

numpy.ctypeslib

numpy.ctypeslib.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.ctypeslib.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5060-5085

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.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.dual

numpy.dual.cholesky()

• defined by cho_impl(a) at numba/np/linalg.py:976-1018

numpy.dual.det()

• defined by det_impl(a) at numba/np/linalg.py:2093-2104

numpy.dual.eig()

• defined by eig_impl(a) at numba/np/linalg.py:1020-1133

numpy.dual.eigh()

• defined by eigh_impl(a) at numba/np/linalg.py:1254-1301

numpy.dual.eigvals()

• defined by eigvals_impl(a) at numba/np/linalg.py:1135-1252

numpy.dual.eigvalsh()

• defined by eigvalsh_impl(a) at numba/np/linalg.py:1303-1350

numpy.dual.inv()

• defined by inv_impl(a) at numba/np/linalg.py:908-945

numpy.dual.lstsq()

• defined by lstsq_impl(a, b, rcond=-1.0) at numba/np/linalg.py:1658-1750

numpy.dual.norm()

• defined by norm_impl(x, ord=None) at numba/np/linalg.py:2427-2433

numpy.dual.pinv()

• defined by pinv_impl(a, rcond=1e-15) at numba/np/linalg.py:1834-1995

numpy.dual.solve()

• defined by solve_impl(a, b) at numba/np/linalg.py:1773-1831

numpy.dual.svd()

• defined by svd_impl(a, full_matrices=1) at numba/np/linalg.py:1352-1415

Not showing 10 unsupported functions.

supported = 12 / 22 = 54.55%

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 108 unsupported functions.

supported = 1 / 109 = 0.92%

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:4712-4777

numpy.fft.helper.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.fft.helper.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

numpy.fft.helper.roll()

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/np/arraymath.py:2312-2332

Not showing 6 unsupported functions.

supported = 4 / 10 = 40.00%

numpy.fft.setup

This module is not supported.

numpy.lib

numpy.lib.angle()

Alias to: numpy.angle

• defined by ov_np_angle(z, deg=False) at numba/np/arraymath.py:3219-3249

numpy.lib.append()

Alias to: numpy.append

• defined by np_append(arr, values, axis=None) at numba/np/arrayobj.py:2199-2222

numpy.lib.array_split()

Alias to: numpy.array_split

• defined by np_array_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6159-6219

numpy.lib.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4431-4453

numpy.lib.asfarray()

Alias to: numpy.asfarray

• defined by np_asfarray(a, dtype=<class 'numpy.float64'>) at numba/np/arraymath.py:4323-4335

numpy.lib.average()

Alias to: numpy.average

• defined by np_average(a, axis=None, weights=None) at numba/np/arraymath.py:919-953

numpy.lib.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.lib.bincount()

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3619-3674

numpy.lib.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.lib.broadcast_arrays()

Alias to: numpy.broadcast_arrays

• defined by numpy_broadcast_arrays(*args) at numba/np/arrayobj.py:1561-1616

numpy.lib.broadcast_shapes()

Alias to: numpy.broadcast_shapes

• defined by ol_numpy_broadcast_shapes(*args) at numba/np/arrayobj.py:1520-1558

numpy.lib.broadcast_to()

Alias to: numpy.broadcast_to

• defined by numpy_broadcast_to(array, shape) at numba/np/arrayobj.py:1460-1500

numpy.lib.column_stack()

Alias to: numpy.column_stack

• defined by impl_column_stack(tup) at numba/np/arrayobj.py:5891-5896

numpy.lib.copy()

Alias to: numpy.copy

• defined by impl_numpy_copy(a) at numba/np/arrayobj.py:4871-4876

numpy.lib.corrcoef()

Alias to: numpy.corrcoef

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/np/arraymath.py:2894-2924

numpy.lib.cov()

Alias to: numpy.cov

• defined by np_cov(m, y=None, rowvar=True, bias=False, ddof=None) at numba/np/arraymath.py:2835-2891

numpy.lib.delete()

Alias to: numpy.delete

• defined by np_delete(arr, obj) at numba/np/arraymath.py:3478-3522

numpy.lib.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4573-4609

numpy.lib.diagflat()

Alias to: numpy.diagflat

• defined by numpy_diagflat(v, k=0) at numba/np/arrayobj.py:4612-4635

numpy.lib.diff()

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3525-3561

numpy.lib.digitize()

Alias to: numpy.digitize

• defined by np_digitize(x, bins, right=False) at numba/np/arraymath.py:3780-3906

numpy.lib.dsplit()

Alias to: numpy.dsplit

• defined by numpy_dsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6291-6308

numpy.lib.dstack()

Alias to: numpy.dstack

• defined by impl_np_dstack(tup) at numba/np/arrayobj.py:6055-6060

numpy.lib.ediff1d()

Alias to: numpy.ediff1d

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/np/arraymath.py:2124-2177

numpy.lib.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5521-5533

numpy.lib.extract()

Alias to: numpy.extract

• defined by np_extract(condition, arr) at numba/np/arraymath.py:4338-4361

numpy.lib.eye()

Alias to: numpy.eye

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/np/arrayobj.py:4547-4570

numpy.lib.fill_diagonal()

Alias to: numpy.fill_diagonal

• defined by np_fill_diagonal(a, val, wrap=False) at numba/np/arraymath.py:3058-3088

numpy.lib.flip()

Alias to: numpy.flip

• defined by np_flip(m) at numba/np/arrayobj.py:6145-6156

numpy.lib.fliplr()

Alias to: numpy.fliplr

• defined by np_flip_lr(m) at numba/np/arrayobj.py:6081-6095

numpy.lib.flipud()

Alias to: numpy.flipud

• defined by np_flip_ud(m) at numba/np/arrayobj.py:6098-6112

numpy.lib.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.lib.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.lib.histogram()

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3912-3992

numpy.lib.hsplit()

Alias to: numpy.hsplit

• defined by numpy_hsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6269-6288

numpy.lib.imag()

Alias to: numpy.imag

• defined by np_imag(val) at numba/np/arraymath.py:3432-3437

numpy.lib.interp()

Alias to: numpy.interp

• defined by np_interp(x, xp, fp) at numba/np/arraymath.py:2609-2647

numpy.lib.intersect1d()

Alias to: numpy.intersect1d

• defined by jit_np_intersect1d(ar1, ar2) at numba/np/arraymath.py:3586-3606

numpy.lib.iscomplex()

Alias to: numpy.iscomplex

• defined by np_iscomplex(x) at numba/np/arraymath.py:969-974

numpy.lib.iscomplexobj()

Alias to: numpy.iscomplexobj

• defined by iscomplexobj(x) at numba/np/arraymath.py:985-1002

numpy.lib.isneginf()

Alias to: numpy.isneginf

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1037-1040

numpy.lib.isposinf()

Alias to: numpy.isposinf

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1043-1046

numpy.lib.isreal()

Alias to: numpy.isreal

• defined by np_isreal(x) at numba/np/arraymath.py:977-982

numpy.lib.isrealobj()

Alias to: numpy.isrealobj

• defined by isrealobj(x) at numba/np/arraymath.py:1005-1012

numpy.lib.kaiser()

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4608-4627

numpy.lib.kron()

Alias to: numpy.kron

• defined by kron_impl(a, b) at numba/np/linalg.py:2785-2839

numpy.lib.median()

Alias to: numpy.median

• defined by np_median(a) at numba/np/arraymath.py:1588-1600

numpy.lib.nan_to_num()

Alias to: numpy.nan_to_num

• defined by nan_to_num_impl(x, copy=True, nan=0.0) at numba/np/arrayobj.py:6753-6817

numpy.lib.nancumprod()

Alias to: numpy.nancumprod

• defined by np_nancumprod(a) at numba/np/arraymath.py:1300-1322

numpy.lib.nancumsum()

Alias to: numpy.nancumsum

• defined by np_nancumsum(a) at numba/np/arraymath.py:1325-1347

numpy.lib.nanmax()

Alias to: numpy.nanmax

• defined by np_nanmax(a) at numba/np/arraymath.py:1191-1197

numpy.lib.nanmean()

Alias to: numpy.nanmean

• defined by np_nanmean(a) at numba/np/arraymath.py:1200-1217

numpy.lib.nanmedian()

Alias to: numpy.nanmedian

• defined by np_nanmedian(a) at numba/np/arraymath.py:1774-1796

numpy.lib.nanmin()

Alias to: numpy.nanmin

• defined by np_nanmin(a) at numba/np/arraymath.py:1182-1188

numpy.lib.nanpercentile()

Alias to: numpy.nanpercentile

• defined by np_nanpercentile(a, q) at numba/np/arraymath.py:1753-1757

numpy.lib.nanprod()

Alias to: numpy.nanprod

• defined by np_nanprod(a) at numba/np/arraymath.py:1278-1297

numpy.lib.nanquantile()

Alias to: numpy.nanquantile

• defined by np_nanquantile(a, q) at numba/np/arraymath.py:1767-1771

numpy.lib.nanstd()

Alias to: numpy.nanstd

• defined by np_nanstd(a) at numba/np/arraymath.py:1245-1253

numpy.lib.nansum()

Alias to: numpy.nansum

• defined by np_nansum(a) at numba/np/arraymath.py:1256-1275

numpy.lib.nanvar()

Alias to: numpy.nanvar

• defined by np_nanvar(a) at numba/np/arraymath.py:1220-1242

numpy.lib.percentile()

Alias to: numpy.percentile

• defined by np_percentile(a, q) at numba/np/arraymath.py:1746-1750

numpy.lib.quantile()

Alias to: numpy.quantile

• defined by np_quantile(a, q) at numba/np/arraymath.py:1760-1764

numpy.lib.real()

Alias to: numpy.real

• defined by np_real(val) at numba/np/arraymath.py:3424-3429

numpy.lib.roots()

Alias to: numpy.roots

• defined by roots_impl(p) at numba/np/polynomial.py:15-60

numpy.lib.rot90()

Alias to: numpy.rot90

• defined by numpy_rot90(m, k=1) at numba/np/arrayobj.py:1981-2005

numpy.lib.row_stack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

numpy.lib.select()

Alias to: numpy.select

• defined by np_select(condlist, choicelist, default=0) at numba/np/arraymath.py:4364-4412

numpy.lib.sinc()

Alias to: numpy.sinc

• defined by impl_np_sinc(x) at numba/np/arraymath.py:3199-3216

numpy.lib.split()

Alias to: numpy.split

• defined by np_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6222-6246

numpy.lib.take_along_axis()

Alias to: numpy.take_along_axis

• defined by arr_take_along_axis(arr, indices, axis) at numba/np/arrayobj.py:6709-6750

numpy.lib.trapz()

Alias to: numpy.trapz

• defined by np_trapz(y, x=None, dx=1.0) at numba/np/arraymath.py:2214-2233

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()

Alias to: numpy.tril

• defined by my_tril(m, k=0) at numba/np/arraymath.py:1980-2004

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.tril_indices_from()

Alias to: numpy.tril_indices_from

• defined by np_tril_indices_from(arr, k=0) at numba/np/arraymath.py:2021-2032

numpy.lib.trim_zeros()

Alias to: numpy.trim_zeros

• defined by np_trim_zeros(filt, trim='fb') at numba/np/arraymath.py:4742-4772

numpy.lib.triu()

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2041-2064

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

numpy.lib.triu_indices_from()

Alias to: numpy.triu_indices_from

• defined by np_triu_indices_from(arr, k=0) at numba/np/arraymath.py:2081-2092

numpy.lib.union1d()

Alias to: numpy.union1d

• defined by np_union1d(ar1, ar2) at numba/np/arraymath.py:4415-4428

numpy.lib.unique()

Alias to: numpy.unique

• defined by np_unique(ar) at numba/np/arrayobj.py:2560-2567

numpy.lib.vander()

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2272-2309

numpy.lib.vsplit()

Alias to: numpy.vsplit

• defined by numpy_vsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6249-6266

Not showing 74 unsupported functions.

supported = 83 / 157 = 52.87%

numpy.lib.arraypad

This module is not supported.

numpy.lib.arraysetops

numpy.lib.arraysetops.ediff1d()

Alias to: numpy.ediff1d

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/np/arraymath.py:2124-2177

numpy.lib.arraysetops.intersect1d()

Alias to: numpy.intersect1d

• defined by jit_np_intersect1d(ar1, ar2) at numba/np/arraymath.py:3586-3606

numpy.lib.arraysetops.union1d()

Alias to: numpy.union1d

• defined by np_union1d(ar1, ar2) at numba/np/arraymath.py:4415-4428

numpy.lib.arraysetops.unique()

Alias to: numpy.unique

• defined by np_unique(ar) at numba/np/arrayobj.py:2560-2567

Not showing 4 unsupported functions.

supported = 4 / 8 = 50.00%

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.angle()

Alias to: numpy.angle

• defined by ov_np_angle(z, deg=False) at numba/np/arraymath.py:3219-3249

numpy.lib.function_base.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:907-916

numpy.lib.function_base.append()

Alias to: numpy.append

• defined by np_append(arr, values, axis=None) at numba/np/arrayobj.py:2199-2222

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:4712-4777

numpy.lib.function_base.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.lib.function_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.lib.function_base.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4431-4453

numpy.lib.function_base.average()

Alias to: numpy.average

• defined by np_average(a, axis=None, weights=None) at numba/np/arraymath.py:919-953

numpy.lib.function_base.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.lib.function_base.bincount()

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3619-3674

numpy.lib.function_base.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.lib.function_base.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.lib.function_base.copy()

Alias to: numpy.copy

• defined by impl_numpy_copy(a) at numba/np/arrayobj.py:4871-4876

numpy.lib.function_base.corrcoef()

Alias to: numpy.corrcoef

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/np/arraymath.py:2894-2924

numpy.lib.function_base.cov()

Alias to: numpy.cov

• defined by np_cov(m, y=None, rowvar=True, bias=False, ddof=None) at numba/np/arraymath.py:2835-2891

numpy.lib.function_base.delete()

Alias to: numpy.delete

• defined by np_delete(arr, obj) at numba/np/arraymath.py:3478-3522

numpy.lib.function_base.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4573-4609

numpy.lib.function_base.diff()

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3525-3561

numpy.lib.function_base.digitize()

Alias to: numpy.digitize

• defined by np_digitize(x, bins, right=False) at numba/np/arraymath.py:3780-3906

numpy.lib.function_base.dot()

Alias to: numpy.dot

• defined by dot_2(left, right) at numba/np/linalg.py:525-530

• defined by dot_3(left, right, out) at numba/np/linalg.py:784-817

numpy.lib.function_base.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

numpy.lib.function_base.extract()

Alias to: numpy.extract

• defined by np_extract(condition, arr) at numba/np/arraymath.py:4338-4361

numpy.lib.function_base.flip()

Alias to: numpy.flip

• defined by np_flip(m) at numba/np/arrayobj.py:6145-6156

numpy.lib.function_base.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.lib.function_base.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.lib.function_base.histogram()

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3912-3992

numpy.lib.function_base.interp()

Alias to: numpy.interp

• defined by np_interp(x, xp, fp) at numba/np/arraymath.py:2609-2647

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:4608-4627

numpy.lib.function_base.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:425-445

numpy.lib.function_base.median()

Alias to: numpy.median

• defined by np_median(a) at numba/np/arraymath.py:1588-1600

numpy.lib.function_base.nonzero()

Alias to: numpy.nonzero

• defined by <class 'abc.Numpy_redirect_nonzero'>

numpy.lib.function_base.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4501-4513

numpy.lib.function_base.partition()

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/np/arraymath.py:1877-1899

numpy.lib.function_base.percentile()

Alias to: numpy.percentile

• defined by np_percentile(a, q) at numba/np/arraymath.py:1746-1750

numpy.lib.function_base.quantile()

Alias to: numpy.quantile

• defined by np_quantile(a, q) at numba/np/arraymath.py:1760-1764

numpy.lib.function_base.ravel()

Alias to: numpy.ravel

• defined by <class 'abc.Numpy_redirect_ravel'>

numpy.lib.function_base.rot90()

Alias to: numpy.rot90

• defined by numpy_rot90(m, k=1) at numba/np/arrayobj.py:1981-2005

numpy.lib.function_base.select()

Alias to: numpy.select

• defined by np_select(condlist, choicelist, default=0) at numba/np/arraymath.py:4364-4412

numpy.lib.function_base.sinc()

Alias to: numpy.sinc

• defined by impl_np_sinc(x) at numba/np/arraymath.py:3199-3216

numpy.lib.function_base.sum()

Alias to: numpy.sum

• defined by <class 'abc.Numpy_redirect_sum'>

numpy.lib.function_base.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4638-4683

numpy.lib.function_base.transpose()

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/np/arrayobj.py:1859-1871

numpy.lib.function_base.trapz()

Alias to: numpy.trapz

• defined by np_trapz(y, x=None, dx=1.0) at numba/np/arraymath.py:2214-2233

numpy.lib.function_base.trim_zeros()

Alias to: numpy.trim_zeros

• defined by np_trim_zeros(filt, trim='fb') at numba/np/arraymath.py:4742-4772

numpy.lib.function_base.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3359-3367

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3370-3421

numpy.lib.function_base.zeros_like()

Alias to: numpy.zeros_like

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4444-4453

Not showing 21 unsupported functions.

supported = 47 / 68 = 69.12%

numpy.lib.histograms

numpy.lib.histograms.histogram()

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3912-3992

Not showing 2 unsupported functions.

supported = 1 / 3 = 33.33%

numpy.lib.index_tricks

numpy.lib.index_tricks.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4712-4777

numpy.lib.index_tricks.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.lib.index_tricks.as_strided()

• defined by as_strided(x, shape=None, strides=None) at numba/np/arrayobj.py:6478-6504

numpy.lib.index_tricks.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.lib.index_tricks.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:400-422

numpy.lib.index_tricks.diff()

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3525-3561

numpy.lib.index_tricks.fill_diagonal()

Alias to: numpy.fill_diagonal

• defined by np_fill_diagonal(a, val, wrap=False) at numba/np/arraymath.py:3058-3088

numpy.lib.index_tricks.linspace()

Alias to: numpy.linspace

• defined by numpy_linspace(start, stop, num=50) at numba/np/arrayobj.py:4780-4817

Not showing 10 unsupported functions.

supported = 8 / 18 = 44.44%

numpy.lib.mixins

This module is not supported.

numpy.lib.nanfunctions

numpy.lib.nanfunctions.nancumprod()

Alias to: numpy.nancumprod

• defined by np_nancumprod(a) at numba/np/arraymath.py:1300-1322

numpy.lib.nanfunctions.nancumsum()

Alias to: numpy.nancumsum

• defined by np_nancumsum(a) at numba/np/arraymath.py:1325-1347

numpy.lib.nanfunctions.nanmax()

Alias to: numpy.nanmax

• defined by np_nanmax(a) at numba/np/arraymath.py:1191-1197

numpy.lib.nanfunctions.nanmean()

Alias to: numpy.nanmean

• defined by np_nanmean(a) at numba/np/arraymath.py:1200-1217

numpy.lib.nanfunctions.nanmedian()

Alias to: numpy.nanmedian

• defined by np_nanmedian(a) at numba/np/arraymath.py:1774-1796

numpy.lib.nanfunctions.nanmin()

Alias to: numpy.nanmin

• defined by np_nanmin(a) at numba/np/arraymath.py:1182-1188

numpy.lib.nanfunctions.nanpercentile()

Alias to: numpy.nanpercentile

• defined by np_nanpercentile(a, q) at numba/np/arraymath.py:1753-1757

numpy.lib.nanfunctions.nanprod()

Alias to: numpy.nanprod

• defined by np_nanprod(a) at numba/np/arraymath.py:1278-1297

numpy.lib.nanfunctions.nanquantile()

Alias to: numpy.nanquantile

• defined by np_nanquantile(a, q) at numba/np/arraymath.py:1767-1771

numpy.lib.nanfunctions.nanstd()

Alias to: numpy.nanstd

• defined by np_nanstd(a) at numba/np/arraymath.py:1245-1253

numpy.lib.nanfunctions.nansum()

Alias to: numpy.nansum

• defined by np_nansum(a) at numba/np/arraymath.py:1256-1275

numpy.lib.nanfunctions.nanvar()

Alias to: numpy.nanvar

• defined by np_nanvar(a) at numba/np/arraymath.py:1220-1242

Not showing 2 unsupported functions.

supported = 12 / 14 = 85.71%

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:5384-5396

numpy.lib.polynomial.atleast_1d()

Alias to: numpy.atleast_1d

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5584-5587

numpy.lib.polynomial.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4573-4609

numpy.lib.polynomial.dot()

Alias to: numpy.dot

• defined by dot_2(left, right) at numba/np/linalg.py:525-530

• defined by dot_3(left, right, out) at numba/np/linalg.py:784-817

numpy.lib.polynomial.eigvals()

Alias to: numpy.dual.eigvals

• defined by eigvals_impl(a) at numba/np/linalg.py:1135-1252

numpy.lib.polynomial.hstack()

Alias to: numpy.hstack

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5970-5975

numpy.lib.polynomial.imag()

Alias to: numpy.imag

• defined by np_imag(val) at numba/np/arraymath.py:3432-3437

numpy.lib.polynomial.inv()

Alias to: numpy.dual.inv

• defined by inv_impl(a) at numba/np/linalg.py:908-945

numpy.lib.polynomial.iscomplex()

Alias to: numpy.iscomplex

• defined by np_iscomplex(x) at numba/np/arraymath.py:969-974

numpy.lib.polynomial.isscalar()

Alias to: numpy.isscalar

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

numpy.lib.polynomial.lstsq()

Alias to: numpy.dual.lstsq

• defined by lstsq_impl(a, b, rcond=-1.0) at numba/np/linalg.py:1658-1750

numpy.lib.polynomial.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4501-4513

numpy.lib.polynomial.real()

Alias to: numpy.real

• defined by np_real(val) at numba/np/arraymath.py:3424-3429

numpy.lib.polynomial.roots()

Alias to: numpy.roots

• defined by roots_impl(p) at numba/np/polynomial.py:15-60

numpy.lib.polynomial.trim_zeros()

Alias to: numpy.trim_zeros

• defined by np_trim_zeros(filt, trim='fb') at numba/np/arraymath.py:4742-4772

numpy.lib.polynomial.vander()

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2272-2309

Not showing 11 unsupported functions.

supported = 16 / 27 = 59.26%

numpy.lib.recfunctions

This module is not supported.

numpy.lib.scimath

numpy.lib.scimath.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:907-916

numpy.lib.scimath.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.lib.scimath.isreal()

Alias to: numpy.isreal

• defined by np_isreal(x) at numba/np/arraymath.py:977-982

Not showing 10 unsupported functions.

supported = 3 / 13 = 23.08%

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:5384-5396

numpy.lib.shape_base.array_split()

Alias to: numpy.array_split

• defined by np_array_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6159-6219

numpy.lib.shape_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.lib.shape_base.atleast_3d()

Alias to: numpy.atleast_3d

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5596-5599

numpy.lib.shape_base.column_stack()

Alias to: numpy.column_stack

• defined by impl_column_stack(tup) at numba/np/arrayobj.py:5891-5896

numpy.lib.shape_base.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.lib.shape_base.dsplit()

Alias to: numpy.dsplit

• defined by numpy_dsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6291-6308

numpy.lib.shape_base.dstack()

Alias to: numpy.dstack

• defined by impl_np_dstack(tup) at numba/np/arrayobj.py:6055-6060

numpy.lib.shape_base.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5521-5533

numpy.lib.shape_base.hsplit()

Alias to: numpy.hsplit

• defined by numpy_hsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6269-6288

numpy.lib.shape_base.kron()

Alias to: numpy.kron

• defined by kron_impl(a, b) at numba/np/linalg.py:2785-2839

numpy.lib.shape_base.outer()

Alias to: numpy.outer

• defined by outer_impl(a, b, out=None) at numba/np/linalg.py:2708-2719

numpy.lib.shape_base.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, newshape) at numba/np/arrayobj.py:2145-2149

numpy.lib.shape_base.row_stack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

numpy.lib.shape_base.split()

Alias to: numpy.split

• defined by np_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6222-6246

numpy.lib.shape_base.take_along_axis()

Alias to: numpy.take_along_axis

• defined by arr_take_along_axis(arr, indices, axis) at numba/np/arrayobj.py:6709-6750

numpy.lib.shape_base.transpose()

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/np/arrayobj.py:1859-1871

numpy.lib.shape_base.vsplit()

Alias to: numpy.vsplit

• defined by numpy_vsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6249-6266

numpy.lib.shape_base.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

numpy.lib.shape_base.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

Not showing 9 unsupported functions.

supported = 20 / 29 = 68.97%

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:6478-6504

numpy.lib.stride_tricks.broadcast_arrays()

Alias to: numpy.broadcast_arrays

• defined by numpy_broadcast_arrays(*args) at numba/np/arrayobj.py:1561-1616

numpy.lib.stride_tricks.broadcast_shapes()

Alias to: numpy.broadcast_shapes

• defined by ol_numpy_broadcast_shapes(*args) at numba/np/arrayobj.py:1520-1558

numpy.lib.stride_tricks.broadcast_to()

Alias to: numpy.broadcast_to

• defined by numpy_broadcast_to(array, shape) at numba/np/arrayobj.py:1460-1500

numpy.lib.stride_tricks.sliding_window_view()

• defined by sliding_window_view(x, window_shape, axis=None) at numba/np/arrayobj.py:6507-6599

Not showing 3 unsupported functions.

supported = 5 / 8 = 62.50%

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:4712-4777

numpy.lib.twodim_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.lib.twodim_base.broadcast_to()

Alias to: numpy.broadcast_to

• defined by numpy_broadcast_to(array, shape) at numba/np/arrayobj.py:1460-1500

numpy.lib.twodim_base.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4573-4609

numpy.lib.twodim_base.diagflat()

Alias to: numpy.diagflat

• defined by numpy_diagflat(v, k=0) at numba/np/arrayobj.py:4612-4635

numpy.lib.twodim_base.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

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:4547-4570

numpy.lib.twodim_base.fliplr()

Alias to: numpy.fliplr

• defined by np_flip_lr(m) at numba/np/arrayobj.py:6081-6095

numpy.lib.twodim_base.flipud()

Alias to: numpy.flipud

• defined by np_flip_ud(m) at numba/np/arrayobj.py:6098-6112

numpy.lib.twodim_base.nonzero()

Alias to: numpy.nonzero

• defined by <class 'abc.Numpy_redirect_nonzero'>

numpy.lib.twodim_base.ones()

Alias to: numpy.ones

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4501-4513

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()

Alias to: numpy.tril

• defined by my_tril(m, k=0) at numba/np/arraymath.py:1980-2004

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.tril_indices_from()

Alias to: numpy.tril_indices_from

• defined by np_tril_indices_from(arr, k=0) at numba/np/arraymath.py:2021-2032

numpy.lib.twodim_base.triu()

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2041-2064

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.triu_indices_from()

Alias to: numpy.triu_indices_from

• defined by np_triu_indices_from(arr, k=0) at numba/np/arraymath.py:2081-2092

numpy.lib.twodim_base.vander()

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2272-2309

numpy.lib.twodim_base.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3359-3367

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3370-3421

numpy.lib.twodim_base.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

Not showing 8 unsupported functions.

supported = 21 / 29 = 72.41%

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:4268-4320

numpy.lib.type_check.asfarray()

Alias to: numpy.asfarray

• defined by np_asfarray(a, dtype=<class 'numpy.float64'>) at numba/np/arraymath.py:4323-4335

numpy.lib.type_check.imag()

Alias to: numpy.imag

• defined by np_imag(val) at numba/np/arraymath.py:3432-3437

numpy.lib.type_check.iscomplex()

Alias to: numpy.iscomplex

• defined by np_iscomplex(x) at numba/np/arraymath.py:969-974

numpy.lib.type_check.iscomplexobj()

Alias to: numpy.iscomplexobj

• defined by iscomplexobj(x) at numba/np/arraymath.py:985-1002

numpy.lib.type_check.isneginf()

Alias to: numpy.isneginf

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1037-1040

numpy.lib.type_check.isposinf()

Alias to: numpy.isposinf

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1043-1046

numpy.lib.type_check.isreal()

Alias to: numpy.isreal

• defined by np_isreal(x) at numba/np/arraymath.py:977-982

numpy.lib.type_check.isrealobj()

Alias to: numpy.isrealobj

• defined by isrealobj(x) at numba/np/arraymath.py:1005-1012

numpy.lib.type_check.nan_to_num()

Alias to: numpy.nan_to_num

• defined by nan_to_num_impl(x, copy=True, nan=0.0) at numba/np/arrayobj.py:6753-6817

numpy.lib.type_check.real()

Alias to: numpy.real

• defined by np_real(val) at numba/np/arraymath.py:3424-3429

numpy.lib.type_check.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

Not showing 6 unsupported functions.

supported = 12 / 18 = 66.67%

numpy.lib.ufunclike

numpy.lib.ufunclike.isneginf()

Alias to: numpy.isneginf

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1037-1040

numpy.lib.ufunclike.isposinf()

Alias to: numpy.isposinf

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1043-1046

Not showing 2 unsupported functions.

supported = 2 / 4 = 50.00%

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:4712-4777

numpy.lib.user_array.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.lib.user_array.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.lib.user_array.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, newshape) at numba/np/arrayobj.py:2145-2149

numpy.lib.user_array.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2548-2555

numpy.lib.user_array.transpose()

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/np/arrayobj.py:1859-1871

Not showing 0 unsupported functions.

supported = 6 / 6 = 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:4268-4320

Not showing 14 unsupported functions.

supported = 1 / 15 = 6.67%

numpy.linalg

numpy.linalg.cholesky()

Alias to: numpy.dual.cholesky

• defined by cho_impl(a) at numba/np/linalg.py:976-1018

numpy.linalg.cond()

• defined by cond_impl(x, p=None) at numba/np/linalg.py:2436-2478

numpy.linalg.det()

Alias to: numpy.dual.det

• defined by det_impl(a) at numba/np/linalg.py:2093-2104

numpy.linalg.eig()

Alias to: numpy.dual.eig

• defined by eig_impl(a) at numba/np/linalg.py:1020-1133

numpy.linalg.eigh()

Alias to: numpy.dual.eigh

• defined by eigh_impl(a) at numba/np/linalg.py:1254-1301

numpy.linalg.eigvals()

Alias to: numpy.dual.eigvals

• defined by eigvals_impl(a) at numba/np/linalg.py:1135-1252

numpy.linalg.eigvalsh()

Alias to: numpy.dual.eigvalsh

• defined by eigvalsh_impl(a) at numba/np/linalg.py:1303-1350

numpy.linalg.inv()

Alias to: numpy.dual.inv

• defined by inv_impl(a) at numba/np/linalg.py:908-945

numpy.linalg.lstsq()

Alias to: numpy.dual.lstsq

• defined by lstsq_impl(a, b, rcond=-1.0) at numba/np/linalg.py:1658-1750

numpy.linalg.matrix_power()

• defined by matrix_power_impl(a, n) at numba/np/linalg.py:2561-2637

numpy.linalg.matrix_rank()

• defined by matrix_rank_impl(A, tol=None) at numba/np/linalg.py:2495-2558

numpy.linalg.norm()

Alias to: numpy.dual.norm

• defined by norm_impl(x, ord=None) at numba/np/linalg.py:2427-2433

numpy.linalg.pinv()

Alias to: numpy.dual.pinv

• defined by pinv_impl(a, rcond=1e-15) at numba/np/linalg.py:1834-1995

numpy.linalg.qr()

• defined by qr_impl(a) at numba/np/linalg.py:1418-1492

numpy.linalg.slogdet()

• defined by slogdet_impl(a) at numba/np/linalg.py:2034-2090

numpy.linalg.solve()

Alias to: numpy.dual.solve

• defined by solve_impl(a, b) at numba/np/linalg.py:1773-1831

numpy.linalg.svd()

Alias to: numpy.dual.svd

• defined by svd_impl(a, full_matrices=1) at numba/np/linalg.py:1352-1415

Not showing 3 unsupported functions.

supported = 17 / 20 = 85.00%

numpy.linalg.lapack_lite

This module is not supported.

numpy.linalg.linalg

numpy.linalg.linalg.all()

Alias to: numpy.all

• defined by np_all(a) at numba/np/arraymath.py:801-810

numpy.linalg.linalg.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.linalg.linalg.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.linalg.linalg.argsort()

Alias to: numpy.argsort

• defined by <class 'abc.Numpy_redirect_argsort'>

numpy.linalg.linalg.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.linalg.linalg.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.linalg.linalg.atleast_2d()

Alias to: numpy.atleast_2d

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5590-5593

numpy.linalg.linalg.cholesky()

Alias to: numpy.dual.cholesky

• defined by cho_impl(a) at numba/np/linalg.py:976-1018

numpy.linalg.linalg.cond()

Alias to: numpy.linalg.cond

• defined by cond_impl(x, p=None) at numba/np/linalg.py:2436-2478

numpy.linalg.linalg.count_nonzero()

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(a, axis=None) at numba/np/arraymath.py:3457-3471

numpy.linalg.linalg.det()

Alias to: numpy.dual.det

• defined by det_impl(a) at numba/np/linalg.py:2093-2104

numpy.linalg.linalg.dot()

Alias to: numpy.dot

• defined by dot_2(left, right) at numba/np/linalg.py:525-530

• defined by dot_3(left, right, out) at numba/np/linalg.py:784-817

numpy.linalg.linalg.eig()

Alias to: numpy.dual.eig

• defined by eig_impl(a) at numba/np/linalg.py:1020-1133

numpy.linalg.linalg.eigh()

Alias to: numpy.dual.eigh

• defined by eigh_impl(a) at numba/np/linalg.py:1254-1301

numpy.linalg.linalg.eigvals()

Alias to: numpy.dual.eigvals

• defined by eigvals_impl(a) at numba/np/linalg.py:1135-1252

numpy.linalg.linalg.eigvalsh()

Alias to: numpy.dual.eigvalsh

• defined by eigvalsh_impl(a) at numba/np/linalg.py:1303-1350

numpy.linalg.linalg.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4355-4374

numpy.linalg.linalg.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4389-4411

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:4547-4570

numpy.linalg.linalg.inv()

Alias to: numpy.dual.inv

• defined by inv_impl(a) at numba/np/linalg.py:908-945

numpy.linalg.linalg.lstsq()

Alias to: numpy.dual.lstsq

• defined by lstsq_impl(a, b, rcond=-1.0) at numba/np/linalg.py:1658-1750

numpy.linalg.linalg.matrix_power()

Alias to: numpy.linalg.matrix_power

• defined by matrix_power_impl(a, n) at numba/np/linalg.py:2561-2637

numpy.linalg.linalg.matrix_rank()

Alias to: numpy.linalg.matrix_rank

• defined by matrix_rank_impl(A, tol=None) at numba/np/linalg.py:2495-2558

numpy.linalg.linalg.norm()

Alias to: numpy.dual.norm

• defined by norm_impl(x, ord=None) at numba/np/linalg.py:2427-2433

numpy.linalg.linalg.pinv()

Alias to: numpy.dual.pinv

• defined by pinv_impl(a, rcond=1e-15) at numba/np/linalg.py:1834-1995

numpy.linalg.linalg.qr()

Alias to: numpy.linalg.qr

• defined by qr_impl(a) at numba/np/linalg.py:1418-1492

numpy.linalg.linalg.slogdet()

Alias to: numpy.linalg.slogdet

• defined by slogdet_impl(a) at numba/np/linalg.py:2034-2090

numpy.linalg.linalg.solve()

Alias to: numpy.dual.solve

• defined by solve_impl(a, b) at numba/np/linalg.py:1773-1831

numpy.linalg.linalg.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6361-6371

numpy.linalg.linalg.sum()

Alias to: numpy.sum

• defined by <class 'abc.Numpy_redirect_sum'>

numpy.linalg.linalg.svd()

Alias to: numpy.dual.svd

• defined by svd_impl(a, full_matrices=1) at numba/np/linalg.py:1352-1415

numpy.linalg.linalg.swapaxes()

Alias to: numpy.swapaxes

• defined by numpy_swapaxes(a, axis1, axis2) at numba/np/arrayobj.py:6617-6646

numpy.linalg.linalg.triu()

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2041-2064

numpy.linalg.linalg.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4433-4441

Not showing 12 unsupported functions.

supported = 34 / 46 = 73.91%

numpy.linalg.setup

This module is not supported.

numpy.ma

numpy.ma.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.ma.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.ma.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5521-5533

Not showing 104 unsupported functions.

supported = 3 / 107 = 2.80%

numpy.ma.bench

This module is not supported.

numpy.ma.core

numpy.ma.core.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.ma.core.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.ma.core.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5521-5533

numpy.ma.core.iscomplexobj()

Alias to: numpy.iscomplexobj

• defined by iscomplexobj(x) at numba/np/arraymath.py:985-1002

numpy.ma.core.narray()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

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 = 6 / 89 = 6.74%

numpy.ma.extras

numpy.ma.extras.nxarray()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

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:5384-5396

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.all()

Alias to: numpy.all

• defined by np_all(a) at numba/np/arraymath.py:801-810

numpy.matlib.allclose()

Alias to: numpy.allclose

• defined by np_allclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:839-904

numpy.matlib.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-588

• defined by npy_max(a) at numba/np/arraymath.py:541-588

numpy.matlib.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:491-538

• defined by npy_min(a) at numba/np/arraymath.py:491-538

numpy.matlib.angle()

Alias to: numpy.angle

• defined by ov_np_angle(z, deg=False) at numba/np/arraymath.py:3219-3249

numpy.matlib.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:907-916

numpy.matlib.append()

Alias to: numpy.append

• defined by np_append(arr, values, axis=None) at numba/np/arrayobj.py:2199-2222

numpy.matlib.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4712-4777

numpy.matlib.argmax()

Alias to: numpy.argmax

• defined by array_argmax(a, axis=None) at numba/np/arraymath.py:781-798

numpy.matlib.argmin()

Alias to: numpy.argmin

• defined by array_argmin(a, axis=None) at numba/np/arraymath.py:655-672

numpy.matlib.argpartition()

Alias to: numpy.argpartition

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1902-1924

numpy.matlib.argsort()

Alias to: numpy.argsort

• defined by <class 'abc.Numpy_redirect_argsort'>

numpy.matlib.argwhere()

Alias to: numpy.argwhere

• defined by np_argwhere(a) at numba/np/arraymath.py:2931-2953

numpy.matlib.around()

Alias to: numpy.around

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.matlib.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5384-5396

numpy.matlib.array_equal()

Alias to: numpy.array_equal

• defined by np_array_equal(a1, a2) at numba/np/arraymath.py:3564-3583

numpy.matlib.array_split()

Alias to: numpy.array_split

• defined by np_array_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6159-6219

numpy.matlib.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4268-4320

numpy.matlib.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4431-4453

numpy.matlib.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4956-4967

numpy.matlib.asfarray()

Alias to: numpy.asfarray

• defined by np_asfarray(a, dtype=<class 'numpy.float64'>) at numba/np/arraymath.py:4323-4335

numpy.matlib.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4970-4982

numpy.matlib.atleast_1d()

Alias to: numpy.atleast_1d

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5584-5587

numpy.matlib.atleast_2d()

Alias to: numpy.atleast_2d

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5590-5593

numpy.matlib.atleast_3d()

Alias to: numpy.atleast_3d

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5596-5599

numpy.matlib.average()

Alias to: numpy.average

• defined by np_average(a, axis=None, weights=None) at numba/np/arraymath.py:919-953

numpy.matlib.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.matlib.bincount()

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3619-3674

numpy.matlib.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.matlib.broadcast_arrays()

Alias to: numpy.broadcast_arrays

• defined by numpy_broadcast_arrays(*args) at numba/np/arrayobj.py:1561-1616

numpy.matlib.broadcast_shapes()

Alias to: numpy.broadcast_shapes

• defined by ol_numpy_broadcast_shapes(*args) at numba/np/arrayobj.py:1520-1558

numpy.matlib.broadcast_to()

Alias to: numpy.broadcast_to

• defined by numpy_broadcast_to(array, shape) at numba/np/arrayobj.py:1460-1500

numpy.matlib.clip()

Alias to: numpy.clip

• defined by np_clip(a, a_min, a_max, out=None) at numba/np/arrayobj.py:2293-2412

numpy.matlib.column_stack()

Alias to: numpy.column_stack

• defined by impl_column_stack(tup) at numba/np/arrayobj.py:5891-5896

numpy.matlib.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.matlib.convolve()

Alias to: numpy.convolve

• defined by np_convolve(a, v, mode='full') at numba/np/arraymath.py:4246-4265

numpy.matlib.copy()

Alias to: numpy.copy

• defined by impl_numpy_copy(a) at numba/np/arrayobj.py:4871-4876

numpy.matlib.corrcoef()

Alias to: numpy.corrcoef

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/np/arraymath.py:2894-2924

numpy.matlib.correlate()

Alias to: numpy.correlate

• defined by _np_correlate(a, v, mode='valid') at numba/np/arraymath.py:4201-4243

numpy.matlib.count_nonzero()

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(a, axis=None) at numba/np/arraymath.py:3457-3471

numpy.matlib.cov()

Alias to: numpy.cov

• defined by np_cov(m, y=None, rowvar=True, bias=False, ddof=None) at numba/np/arraymath.py:2835-2891

numpy.matlib.cross()

Alias to: numpy.cross

• defined by np_cross(a, b) at numba/np/arraymath.py:4675-4697

numpy.matlib.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:400-422

numpy.matlib.cumsum()

Alias to: numpy.cumsum

• defined by array_cumsum(a) at numba/np/arraymath.py:375-397

numpy.matlib.delete()

Alias to: numpy.delete

• defined by np_delete(arr, obj) at numba/np/arraymath.py:3478-3522

numpy.matlib.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4573-4609

numpy.matlib.diagflat()

Alias to: numpy.diagflat

• defined by numpy_diagflat(v, k=0) at numba/np/arrayobj.py:4612-4635

numpy.matlib.diff()

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3525-3561

numpy.matlib.digitize()

Alias to: numpy.digitize

• defined by np_digitize(x, bins, right=False) at numba/np/arraymath.py:3780-3906

numpy.matlib.dot()

Alias to: numpy.dot

• defined by dot_2(left, right) at numba/np/linalg.py:525-530

• defined by dot_3(left, right, out) at numba/np/linalg.py:784-817

numpy.matlib.dsplit()

Alias to: numpy.dsplit

• defined by numpy_dsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6291-6308

numpy.matlib.dstack()

Alias to: numpy.dstack

• defined by impl_np_dstack(tup) at numba/np/arrayobj.py:6055-6060

numpy.matlib.ediff1d()

Alias to: numpy.ediff1d

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/np/arraymath.py:2124-2177

numpy.matlib.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4389-4411

numpy.matlib.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5521-5533

numpy.matlib.extract()

Alias to: numpy.extract

• defined by np_extract(condition, arr) at numba/np/arraymath.py:4338-4361

numpy.matlib.fill_diagonal()

Alias to: numpy.fill_diagonal

• defined by np_fill_diagonal(a, val, wrap=False) at numba/np/arraymath.py:3058-3088

numpy.matlib.flatnonzero()

Alias to: numpy.flatnonzero

• defined by np_flatnonzero(a) at numba/np/arraymath.py:2956-2971

numpy.matlib.flip()

Alias to: numpy.flip

• defined by np_flip(m) at numba/np/arrayobj.py:6145-6156

numpy.matlib.fliplr()

Alias to: numpy.fliplr

• defined by np_flip_lr(m) at numba/np/arrayobj.py:6081-6095

numpy.matlib.flipud()

Alias to: numpy.flipud

• defined by np_flip_ud(m) at numba/np/arrayobj.py:6098-6112

numpy.matlib.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:5060-5085

numpy.matlib.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4470-4484

numpy.matlib.full_like()

Alias to: numpy.full_like

• defined by impl_np_full_like(a, fill_value, dtype=None) at numba/np/arrayobj.py:4487-4498

numpy.matlib.geomspace()

Alias to: numpy.geomspace

• defined by numpy_geomspace(start, stop, num=50) at numba/np/arrayobj.py:1910-1978

numpy.matlib.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.matlib.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4490-4502

numpy.matlib.histogram()

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3912-3992

numpy.matlib.hsplit()

Alias to: numpy.hsplit

• defined by numpy_hsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6269-6288

numpy.matlib.hstack()

Alias to: numpy.hstack

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5970-5975

numpy.matlib.imag()

Alias to: numpy.imag

• defined by np_imag(val) at numba/np/arraymath.py:3432-3437

numpy.matlib.interp()

Alias to: numpy.interp

• defined by np_interp(x, xp, fp) at numba/np/arraymath.py:2609-2647

numpy.matlib.intersect1d()

Alias to: numpy.intersect1d

• defined by jit_np_intersect1d(ar1, ar2) at numba/np/arraymath.py:3586-3606

numpy.matlib.isclose()

Alias to: numpy.isclose

• defined by isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:1125-1179

numpy.matlib.iscomplex()

Alias to: numpy.iscomplex

• defined by np_iscomplex(x) at numba/np/arraymath.py:969-974

numpy.matlib.iscomplexobj()

Alias to: numpy.iscomplexobj

• defined by iscomplexobj(x) at numba/np/arraymath.py:985-1002

numpy.matlib.isneginf()

Alias to: numpy.isneginf

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1037-1040

numpy.matlib.isposinf()

Alias to: numpy.isposinf

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1043-1046

numpy.matlib.isreal()

Alias to: numpy.isreal

• defined by np_isreal(x) at numba/np/arraymath.py:977-982

numpy.matlib.isrealobj()

Alias to: numpy.isrealobj

• defined by isrealobj(x) at numba/np/arraymath.py:1005-1012

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:4608-4627

numpy.matlib.kron()

Alias to: numpy.kron

• defined by kron_impl(a, b) at numba/np/linalg.py:2785-2839

numpy.matlib.linspace()

Alias to: numpy.linspace

• defined by numpy_linspace(start, stop, num=50) at numba/np/arrayobj.py:4780-4817

numpy.matlib.logspace()

Alias to: numpy.logspace

• defined by numpy_logspace(start, stop, num=50) at numba/np/arrayobj.py:1894-1907

numpy.matlib.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:425-445

numpy.matlib.median()

Alias to: numpy.median

• defined by np_median(a) at numba/np/arraymath.py:1588-1600

numpy.matlib.nan_to_num()

Alias to: numpy.nan_to_num

• defined by nan_to_num_impl(x, copy=True, nan=0.0) at numba/np/arrayobj.py:6753-6817

numpy.matlib.nancumprod()

Alias to: numpy.nancumprod

• defined by np_nancumprod(a) at numba/np/arraymath.py:1300-1322

numpy.matlib.nancumsum()

Alias to: numpy.nancumsum

• defined by np_nancumsum(a) at numba/np/arraymath.py:1325-1347

numpy.matlib.nanmax()

Alias to: numpy.nanmax

• defined by np_nanmax(a) at numba/np/arraymath.py:1191-1197

numpy.matlib.nanmean()

Alias to: numpy.nanmean

• defined by np_nanmean(a) at numba/np/arraymath.py:1200-1217

numpy.matlib.nanmedian()

Alias to: numpy.nanmedian

• defined by np_nanmedian(a) at numba/np/arraymath.py:1774-1796

numpy.matlib.nanmin()

Alias to: numpy.nanmin

• defined by np_nanmin(a) at numba/np/arraymath.py:1182-1188

numpy.matlib.nanpercentile()

Alias to: numpy.nanpercentile

• defined by np_nanpercentile(a, q) at numba/np/arraymath.py:1753-1757

numpy.matlib.nanprod()

Alias to: numpy.nanprod

• defined by np_nanprod(a) at numba/np/arraymath.py:1278-1297

numpy.matlib.nanquantile()

Alias to: numpy.nanquantile

• defined by np_nanquantile(a, q) at numba/np/arraymath.py:1767-1771

numpy.matlib.nanstd()

Alias to: numpy.nanstd

• defined by np_nanstd(a) at numba/np/arraymath.py:1245-1253

numpy.matlib.nansum()

Alias to: numpy.nansum

• defined by np_nansum(a) at numba/np/arraymath.py:1256-1275

numpy.matlib.nanvar()

Alias to: numpy.nanvar

• defined by np_nanvar(a) at numba/np/arraymath.py:1220-1242

numpy.matlib.nonzero()

Alias to: numpy.nonzero

• defined by <class 'abc.Numpy_redirect_nonzero'>

numpy.matlib.ones_like()

Alias to: numpy.ones_like

• defined by ol_np_ones_like(a, dtype=None) at numba/np/arrayobj.py:4456-4467

numpy.matlib.outer()

Alias to: numpy.outer

• defined by outer_impl(a, b, out=None) at numba/np/linalg.py:2708-2719

numpy.matlib.partition()

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/np/arraymath.py:1877-1899

numpy.matlib.percentile()

Alias to: numpy.percentile

• defined by np_percentile(a, q) at numba/np/arraymath.py:1746-1750

numpy.matlib.prod()

Alias to: numpy.prod

• defined by array_prod(a) at numba/np/arraymath.py:358-372

numpy.matlib.ptp()

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/np/arraymath.py:1425-1451

numpy.matlib.quantile()

Alias to: numpy.quantile

• defined by np_quantile(a, q) at numba/np/arraymath.py:1760-1764

numpy.matlib.ravel()

Alias to: numpy.ravel

• defined by <class 'abc.Numpy_redirect_ravel'>

numpy.matlib.real()

Alias to: numpy.real

• defined by np_real(val) at numba/np/arraymath.py:3424-3429

numpy.matlib.repeat()

Alias to: numpy.repeat

• defined by np_repeat(a, repeats) at numba/np/arrayobj.py:2570-2612

numpy.matlib.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, newshape) at numba/np/arrayobj.py:2145-2149

numpy.matlib.resize()

Alias to: numpy.resize

• defined by numpy_resize(a, new_shape) at numba/np/arrayobj.py:2152-2196

numpy.matlib.roll()

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/np/arraymath.py:2312-2332

numpy.matlib.roots()

Alias to: numpy.roots

• defined by roots_impl(p) at numba/np/polynomial.py:15-60

numpy.matlib.rot90()

Alias to: numpy.rot90

• defined by numpy_rot90(m, k=1) at numba/np/arrayobj.py:1981-2005

numpy.matlib.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3141-3196

numpy.matlib.row_stack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

numpy.matlib.searchsorted()

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3733-3777

numpy.matlib.select()

Alias to: numpy.select

• defined by np_select(condlist, choicelist, default=0) at numba/np/arraymath.py:4364-4412

numpy.matlib.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2548-2555

numpy.matlib.sinc()

Alias to: numpy.sinc

• defined by impl_np_sinc(x) at numba/np/arraymath.py:3199-3216

numpy.matlib.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6361-6371

numpy.matlib.split()

Alias to: numpy.split

• defined by np_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6222-6246

numpy.matlib.stack()

Alias to: numpy.stack

• defined by impl_np_stack(arrays, axis=0) at numba/np/arrayobj.py:5926-5931

numpy.matlib.std()

Alias to: numpy.std

• defined by array_std(a) at numba/np/arraymath.py:466-473

numpy.matlib.sum()

Alias to: numpy.sum

• defined by <class 'abc.Numpy_redirect_sum'>

numpy.matlib.swapaxes()

Alias to: numpy.swapaxes

• defined by numpy_swapaxes(a, axis1, axis2) at numba/np/arrayobj.py:6617-6646

numpy.matlib.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4638-4683

numpy.matlib.take_along_axis()

Alias to: numpy.take_along_axis

• defined by arr_take_along_axis(arr, indices, axis) at numba/np/arrayobj.py:6709-6750

numpy.matlib.trace()

Alias to: numpy.trace

• defined by matrix_trace_impl(a, offset=0) at numba/np/linalg.py:2642-2670

numpy.matlib.transpose()

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/np/arrayobj.py:1859-1871

numpy.matlib.trapz()

Alias to: numpy.trapz

• defined by np_trapz(y, x=None, dx=1.0) at numba/np/arraymath.py:2214-2233

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()

Alias to: numpy.tril

• defined by my_tril(m, k=0) at numba/np/arraymath.py:1980-2004

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.tril_indices_from()

Alias to: numpy.tril_indices_from

• defined by np_tril_indices_from(arr, k=0) at numba/np/arraymath.py:2021-2032

numpy.matlib.trim_zeros()

Alias to: numpy.trim_zeros

• defined by np_trim_zeros(filt, trim='fb') at numba/np/arraymath.py:4742-4772

numpy.matlib.triu()

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2041-2064

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

numpy.matlib.triu_indices_from()

Alias to: numpy.triu_indices_from

• defined by np_triu_indices_from(arr, k=0) at numba/np/arraymath.py:2081-2092

numpy.matlib.union1d()

Alias to: numpy.union1d

• defined by np_union1d(ar1, ar2) at numba/np/arraymath.py:4415-4428

numpy.matlib.unique()

Alias to: numpy.unique

• defined by np_unique(ar) at numba/np/arrayobj.py:2560-2567

numpy.matlib.vander()

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2272-2309

numpy.matlib.var()

Alias to: numpy.var

• defined by array_var(a) at numba/np/arraymath.py:448-463

numpy.matlib.vdot()

Alias to: numpy.vdot

• defined by vdot(left, right) at numba/np/linalg.py:585-613

numpy.matlib.vsplit()

Alias to: numpy.vsplit

• defined by numpy_vsplit(ary, indices_or_sections) at numba/np/arrayobj.py:6249-6266

numpy.matlib.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:6005-6010

numpy.matlib.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3359-3367

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3370-3421

numpy.matlib.zeros_like()

Alias to: numpy.zeros_like

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4444-4453

Not showing 157 unsupported functions.

supported = 150 / 307 = 48.86%

numpy.matrixlib

This module is not supported.

numpy.matrixlib.defmatrix

numpy.matrixlib.defmatrix.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5836-5841

numpy.matrixlib.defmatrix.isscalar()

Alias to: numpy.isscalar

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

numpy.matrixlib.defmatrix.matrix_power()

Alias to: numpy.linalg.matrix_power

• defined by matrix_power_impl(a, n) at numba/np/linalg.py:2561-2637

Not showing 4 unsupported functions.

supported = 3 / 7 = 42.86%

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.py:103-134

numpy.polynomial.polynomial.polymul()

• defined by numpy_polymul(c1, c2) at numba/np/polynomial.py:171-195

numpy.polynomial.polynomial.polysub()

• defined by numpy_polysub(c1, c2) at numba/np/polynomial.py:137-168

Not showing 21 unsupported functions.

supported = 3 / 24 = 12.50%

numpy.polynomial.polyutils

numpy.polynomial.polyutils.trimseq()

• defined by polyutils_trimseq(seq) at numba/np/polynomial.py:63-86

Not showing 8 unsupported functions.

supported = 1 / 9 = 11.11%

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.random.setup

This module is not supported.

numpy.setup

This module is not supported.

numpy.testing

This module is not supported.

numpy.testing.print_coercion_tables

This module is not supported.

numpy.testing.setup

This module is not supported.

numpy.testing.utils

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.