Listings for numpy

numpy

numpy.all()

• defined by np_all(a) at numba/np/arraymath.py:800-809

numpy.allclose()

• defined by np_allclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:838-903

numpy.amax()

• defined by npy_max(a) at numba/np/arraymath.py:541-587

numpy.amin()

• defined by npy_min(a) at numba/np/arraymath.py:492-538

numpy.angle()

• defined by ov_np_angle(z, deg=False) at numba/np/arraymath.py:3202-3225

numpy.any()

• defined by np_any(a) at numba/np/arraymath.py:906-915

numpy.append()

• defined by np_append(arr, values, axis=None) at numba/np/arrayobj.py:2081-2104

numpy.arange()

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4568-4633

numpy.argmax()

• defined by array_argmax(arr, axis=None) at numba/np/arraymath.py:780-797

numpy.argmin()

• defined by array_argmin(arr, axis=None) at numba/np/arraymath.py:654-671

numpy.argpartition()

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1886-1908

numpy.argsort()

• defined by <class 'abc.Numpy_redirect_argsort'>

numpy.argwhere()

• defined by np_argwhere(a) at numba/np/arraymath.py:2915-2937

numpy.around()

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.array()

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.array_equal()

• defined by np_array_equal(a, b) at numba/np/arraymath.py:3540-3559

numpy.array_split()

• defined by np_array_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6015-6075

numpy.asarray()

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.asarray_chkfinite()

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4397-4419

numpy.ascontiguousarray()

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4812-4823

numpy.asfarray()

• defined by np_asfarray(a, dtype=<class 'numpy.float64'>) at numba/np/arraymath.py:4289-4301

numpy.asfortranarray()

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4826-4838

numpy.atleast_1d()

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5440-5443

numpy.atleast_2d()

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5446-5449

numpy.atleast_3d()

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5452-5455

numpy.average()

• defined by np_average(arr, axis=None, weights=None) at numba/np/arraymath.py:918-952

numpy.bartlett()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.bincount()

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3595-3650

numpy.blackman()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

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:2175-2294

numpy.column_stack()

• defined by impl_column_stack(tup) at numba/np/arrayobj.py:5747-5752

numpy.concatenate()

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

numpy.convolve()

• defined by np_convolve(a, v) at numba/np/arraymath.py:4210-4231

numpy.copy()

• defined by impl_numpy_copy(a) at numba/np/arrayobj.py:4727-4732

numpy.corrcoef()

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/np/arraymath.py:2878-2908

numpy.correlate()

• defined by _np_correlate(a, v) at numba/np/arraymath.py:4165-4207

numpy.count_nonzero()

• defined by np_count_nonzero(arr, axis=None) at numba/np/arraymath.py:3433-3447

numpy.cov()

• defined by np_cov(m, y=None, rowvar=True, bias=False, ddof=None) at numba/np/arraymath.py:2819-2875

numpy.cross()

• defined by np_cross(a, b) at numba/np/arraymath.py:4641-4663

numpy.cumprod()

• defined by array_cumprod(a) at numba/np/arraymath.py:401-423

numpy.cumsum()

• defined by array_cumsum(a) at numba/np/arraymath.py:376-398

numpy.delete()

• defined by np_delete(arr, obj) at numba/np/arraymath.py:3454-3498

numpy.diag()

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4455-4491

numpy.diff()

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3501-3537

numpy.digitize()

• defined by np_digitize(x, bins, right=False) at numba/np/arraymath.py:3756-3882

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.dstack()

• defined by impl_np_dstack(tup) at numba/np/arrayobj.py:5911-5916

numpy.ediff1d()

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/np/arraymath.py:2108-2161

numpy.empty()

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4237-4256

numpy.empty_like()

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4271-4293

numpy.expand_dims()

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5377-5389

numpy.extract()

• defined by np_extract(condition, arr) at numba/np/arraymath.py:4304-4327

numpy.eye()

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/np/arrayobj.py:4429-4452

numpy.fill_diagonal()

• defined by np_fill_diagonal(a, val, wrap=False) at numba/np/arraymath.py:3042-3072

numpy.flatnonzero()

• defined by np_flatnonzero(a) at numba/np/arraymath.py:2940-2955

numpy.flip()

• defined by np_flip(a) at numba/np/arrayobj.py:6001-6012

numpy.fliplr()

• defined by np_flip_lr(a) at numba/np/arrayobj.py:5937-5951

numpy.flipud()

• defined by np_flip_ud(a) at numba/np/arrayobj.py:5954-5968

numpy.frombuffer()

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:4916-4941

numpy.full()

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4352-4366

numpy.full_like()

• defined by impl_np_full_like(a, fill_value, dtype=None) at numba/np/arrayobj.py:4369-4380

numpy.hamming()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.hanning()

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.histogram()

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3888-3968

numpy.hstack()

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5826-5831

numpy.identity()

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4398-4411

numpy.imag()

• defined by np_imag(a) at numba/np/arraymath.py:3408-3413

numpy.interp()

• defined by np_interp(x, xp, fp) at numba/np/arraymath.py:2593-2631

numpy.intersect1d()

• defined by jit_np_intersect1d(ar1, ar2) at numba/np/arraymath.py:3562-3582

numpy.isclose()

• defined by isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False) at numba/np/arraymath.py:1124-1163

numpy.iscomplex()

• defined by np_iscomplex(x) at numba/np/arraymath.py:968-973

numpy.iscomplexobj()

• defined by iscomplexobj(x) at numba/np/arraymath.py:984-1001

numpy.isneginf()

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1036-1039

numpy.isposinf()

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1042-1045

numpy.isreal()

• defined by np_isreal(x) at numba/np/arraymath.py:976-981

numpy.isrealobj()

• defined by isrealobj(x) at numba/np/arraymath.py:1004-1011

numpy.isscalar()

• defined by np_isscalar(num) at numba/np/arraymath.py:1014-1020

numpy.kaiser()

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4574-4593

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:4636-4673

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:541-587

numpy.mean()

• defined by array_mean(a) at numba/np/arraymath.py:426-446

numpy.median()

• defined by np_median(a) at numba/np/arraymath.py:1572-1584

numpy.min()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

numpy.nan_to_num()

• defined by nan_to_num_impl(x, copy=True, nan=0.0) at numba/np/arrayobj.py:6547-6611

numpy.nancumprod()

• defined by np_nancumprod(a) at numba/np/arraymath.py:1284-1306

numpy.nancumsum()

• defined by np_nancumsum(a) at numba/np/arraymath.py:1309-1331

numpy.nanmax()

• defined by np_nanmax(a) at numba/np/arraymath.py:1175-1181

numpy.nanmean()

• defined by np_nanmean(a) at numba/np/arraymath.py:1184-1201

numpy.nanmedian()

• defined by np_nanmedian(a) at numba/np/arraymath.py:1758-1780

numpy.nanmin()

• defined by np_nanmin(a) at numba/np/arraymath.py:1166-1172

numpy.nanpercentile()

• defined by np_nanpercentile(a, q) at numba/np/arraymath.py:1737-1741

numpy.nanprod()

• defined by np_nanprod(a) at numba/np/arraymath.py:1262-1281

numpy.nanquantile()

• defined by np_nanquantile(a, q) at numba/np/arraymath.py:1751-1755

numpy.nanstd()

• defined by np_nanstd(a) at numba/np/arraymath.py:1229-1237

numpy.nansum()

• defined by np_nansum(a) at numba/np/arraymath.py:1240-1259

numpy.nanvar()

• defined by np_nanvar(a) at numba/np/arraymath.py:1204-1226

numpy.nonzero()

• defined by <class 'abc.Numpy_redirect_nonzero'>

numpy.ones()

• defined by ol_np_ones(shape, dtype=None) at numba/np/arrayobj.py:4383-4395

numpy.ones_like()

• defined by ol_np_ones_like(a, dtype=None) at numba/np/arrayobj.py:4338-4349

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:1861-1883

numpy.percentile()

• defined by np_percentile(a, q) at numba/np/arraymath.py:1730-1734

numpy.prod()

• defined by array_prod(a) at numba/np/arraymath.py:359-373

numpy.ptp()

• defined by np_ptp(a) at numba/np/arraymath.py:1409-1435

numpy.quantile()

• defined by np_quantile(a, q) at numba/np/arraymath.py:1744-1748

numpy.ravel()

• defined by <class 'abc.Numpy_redirect_ravel'>

numpy.real()

• defined by np_real(a) at numba/np/arraymath.py:3400-3405

numpy.repeat()

• defined by np_repeat(a, repeats) at numba/np/arrayobj.py:2452-2494

numpy.reshape()

• defined by np_reshape(a, shape) at numba/np/arrayobj.py:2074-2078

numpy.roll()

• defined by np_roll(a, shift) at numba/np/arraymath.py:2296-2316

numpy.roots()

• defined by roots_impl(p) at numba/np/polynomial.py:14-59

numpy.rot90()

• defined by numpy_rot90(arr, k=1) at numba/np/arrayobj.py:1910-1934

numpy.round()

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.row_stack()

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:5861-5866

numpy.searchsorted()

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3709-3753

numpy.select()

• defined by np_select(condlist, choicelist, default=0) at numba/np/arraymath.py:4330-4378

numpy.shape()

• defined by np_shape(a) at numba/np/arrayobj.py:2430-2437

numpy.sinc()

• defined by impl_np_sinc(x) at numba/np/arraymath.py:3182-3199

numpy.sort()

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6155-6165

numpy.split()

• defined by np_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6078-6102

numpy.stack()

• defined by impl_np_stack(arrays, axis=0) at numba/np/arrayobj.py:5782-5787

numpy.std()

• defined by array_std(a) at numba/np/arraymath.py:467-474

numpy.sum()

• defined by <class 'abc.Numpy_redirect_sum'>

numpy.swapaxes()

• defined by numpy_swapaxes(arr, axis1, axis2) at numba/np/arrayobj.py:6411-6440

numpy.take()

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4494-4539

numpy.take_along_axis()

• defined by arr_take_along_axis(arr, indices, axis) at numba/np/arrayobj.py:6503-6544

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:2198-2217

numpy.tri()

• defined by np_tri(N, M=None, k=0) at numba/np/arraymath.py:1927-1938

numpy.tril()

• defined by my_tril(m, k=0) at numba/np/arraymath.py:1964-1988

numpy.tril_indices()

• defined by np_tril_indices(n, k=0, m=None) at numba/np/arraymath.py:1991-2002

numpy.tril_indices_from()

• defined by np_tril_indices_from(arr, k=0) at numba/np/arraymath.py:2005-2016

numpy.triu()

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2025-2048

numpy.triu_indices()

• defined by np_triu_indices(n, k=0, m=None) at numba/np/arraymath.py:2051-2062

numpy.triu_indices_from()

• defined by np_triu_indices_from(arr, k=0) at numba/np/arraymath.py:2065-2076

numpy.union1d()

• defined by np_union1d(arr1, arr2) at numba/np/arraymath.py:4381-4394

numpy.unique()

• defined by np_unique(a) at numba/np/arrayobj.py:2442-2449

numpy.vander()

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2256-2293

numpy.var()

• defined by array_var(a) at numba/np/arraymath.py:449-464

numpy.vdot()

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

numpy.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:5861-5866

numpy.where()

• defined by ov_np_where(condition) at numba/np/arraymath.py:3335-3343

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3346-3397

numpy.zeros()

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

numpy.zeros_like()

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4326-4335

Not showing 156 unsupported functions.

supported = 151 / 307 = 49.19%

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:800-809

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:838-903

numpy.core.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-587

numpy.core.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

numpy.core.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:906-915

numpy.core.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4568-4633

numpy.core.argmax()

Alias to: numpy.argmax

• defined by array_argmax(arr, axis=None) at numba/np/arraymath.py:780-797

numpy.core.argmin()

Alias to: numpy.argmin

• defined by array_argmin(arr, axis=None) at numba/np/arraymath.py:654-671

numpy.core.argpartition()

Alias to: numpy.argpartition

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1886-1908

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:2915-2937

numpy.core.around()

Alias to: numpy.around

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.core.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.core.array_equal()

Alias to: numpy.array_equal

• defined by np_array_equal(a, b) at numba/np/arraymath.py:3540-3559

numpy.core.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.core.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4812-4823

numpy.core.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4826-4838

numpy.core.atleast_1d()

Alias to: numpy.atleast_1d

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5440-5443

numpy.core.atleast_2d()

Alias to: numpy.atleast_2d

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5446-5449

numpy.core.atleast_3d()

Alias to: numpy.atleast_3d

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5452-5455

numpy.core.clip()

Alias to: numpy.clip

• defined by np_clip(a, a_min, a_max, out=None) at numba/np/arrayobj.py:2175-2294

numpy.core.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

numpy.core.convolve()

Alias to: numpy.convolve

• defined by np_convolve(a, v) at numba/np/arraymath.py:4210-4231

numpy.core.correlate()

Alias to: numpy.correlate

• defined by _np_correlate(a, v) at numba/np/arraymath.py:4165-4207

numpy.core.count_nonzero()

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(arr, axis=None) at numba/np/arraymath.py:3433-3447

numpy.core.cross()

Alias to: numpy.cross

• defined by np_cross(a, b) at numba/np/arraymath.py:4641-4663

numpy.core.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:401-423

numpy.core.cumsum()

Alias to: numpy.cumsum

• defined by array_cumsum(a) at numba/np/arraymath.py:376-398

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:4237-4256

numpy.core.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4271-4293

numpy.core.flatnonzero()

Alias to: numpy.flatnonzero

• defined by np_flatnonzero(a) at numba/np/arraymath.py:2940-2955

numpy.core.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:4916-4941

numpy.core.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4352-4366

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:4369-4380

numpy.core.hstack()

Alias to: numpy.hstack

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5826-5831

numpy.core.identity()

Alias to: numpy.identity

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4398-4411

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:1124-1163

numpy.core.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(num) at numba/np/arraymath.py:1014-1020

numpy.core.linspace()

Alias to: numpy.linspace

• defined by numpy_linspace(start, stop, num=50) at numba/np/arrayobj.py:4636-4673

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:541-587

numpy.core.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:426-446

numpy.core.min()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

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:4383-4395

numpy.core.ones_like()

Alias to: numpy.ones_like

• defined by ol_np_ones_like(a, dtype=None) at numba/np/arrayobj.py:4338-4349

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:1861-1883

numpy.core.prod()

Alias to: numpy.prod

• defined by array_prod(a) at numba/np/arraymath.py:359-373

numpy.core.ptp()

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/np/arraymath.py:1409-1435

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:2452-2494

numpy.core.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, shape) at numba/np/arrayobj.py:2074-2078

numpy.core.roll()

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/np/arraymath.py:2296-2316

numpy.core.round()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.core.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.core.searchsorted()

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3709-3753

numpy.core.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2430-2437

numpy.core.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6155-6165

numpy.core.stack()

Alias to: numpy.stack

• defined by impl_np_stack(arrays, axis=0) at numba/np/arrayobj.py:5782-5787

numpy.core.std()

Alias to: numpy.std

• defined by array_std(a) at numba/np/arraymath.py:467-474

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(arr, axis1, axis2) at numba/np/arrayobj.py:6411-6440

numpy.core.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4494-4539

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:449-464

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:5861-5866

numpy.core.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3335-3343

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3346-3397

numpy.core.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

numpy.core.zeros_like()

Alias to: numpy.zeros_like

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4326-4335

Not showing 74 unsupported functions.

supported = 73 / 147 = 49.66%

numpy.core.arrayprint

numpy.core.arrayprint.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:906-915

numpy.core.arrayprint.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.core.arrayprint.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.core.arrayprint.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

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:5240-5252

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:800-809

numpy.core.fromnumeric.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-587

numpy.core.fromnumeric.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

numpy.core.fromnumeric.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:906-915

numpy.core.fromnumeric.argmax()

Alias to: numpy.argmax

• defined by array_argmax(arr, axis=None) at numba/np/arraymath.py:780-797

numpy.core.fromnumeric.argmin()

Alias to: numpy.argmin

• defined by array_argmin(arr, axis=None) at numba/np/arraymath.py:654-671

numpy.core.fromnumeric.argpartition()

Alias to: numpy.argpartition

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1886-1908

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:3125-3179

numpy.core.fromnumeric.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.core.fromnumeric.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.core.fromnumeric.clip()

Alias to: numpy.clip

• defined by np_clip(a, a_min, a_max, out=None) at numba/np/arrayobj.py:2175-2294

numpy.core.fromnumeric.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

numpy.core.fromnumeric.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:401-423

numpy.core.fromnumeric.cumsum()

Alias to: numpy.cumsum

• defined by array_cumsum(a) at numba/np/arraymath.py:376-398

numpy.core.fromnumeric.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:426-446

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:1861-1883

numpy.core.fromnumeric.prod()

Alias to: numpy.prod

• defined by array_prod(a) at numba/np/arraymath.py:359-373

numpy.core.fromnumeric.ptp()

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/np/arraymath.py:1409-1435

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:2452-2494

numpy.core.fromnumeric.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, shape) at numba/np/arrayobj.py:2074-2078

numpy.core.fromnumeric.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.core.fromnumeric.searchsorted()

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3709-3753

numpy.core.fromnumeric.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2430-2437

numpy.core.fromnumeric.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6155-6165

numpy.core.fromnumeric.std()

Alias to: numpy.std

• defined by array_std(a) at numba/np/arraymath.py:467-474

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(arr, axis1, axis2) at numba/np/arrayobj.py:6411-6440

numpy.core.fromnumeric.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4494-4539

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:449-464

Not showing 13 unsupported functions.

supported = 34 / 47 = 72.34%

numpy.core.function_base

numpy.core.function_base.linspace()

Alias to: numpy.linspace

• defined by numpy_linspace(start, stop, num=50) at numba/np/arrayobj.py:4636-4673

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 6 unsupported functions.

supported = 2 / 8 = 25.00%

numpy.core.getlimits

numpy.core.getlimits.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

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:4568-4633

numpy.core.multiarray.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.core.multiarray.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.core.multiarray.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4812-4823

numpy.core.multiarray.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4826-4838

numpy.core.multiarray.bincount()

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3595-3650

numpy.core.multiarray.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

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:4237-4256

numpy.core.multiarray.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4271-4293

numpy.core.multiarray.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:4916-4941

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:3335-3343

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3346-3397

numpy.core.multiarray.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

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:800-809

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:838-903

numpy.core.numeric.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-587

numpy.core.numeric.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

numpy.core.numeric.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:906-915

numpy.core.numeric.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4568-4633

numpy.core.numeric.argmax()

Alias to: numpy.argmax

• defined by array_argmax(arr, axis=None) at numba/np/arraymath.py:780-797

numpy.core.numeric.argmin()

Alias to: numpy.argmin

• defined by array_argmin(arr, axis=None) at numba/np/arraymath.py:654-671

numpy.core.numeric.argpartition()

Alias to: numpy.argpartition

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1886-1908

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:2915-2937

numpy.core.numeric.around()

Alias to: numpy.around

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.core.numeric.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.core.numeric.array_equal()

Alias to: numpy.array_equal

• defined by np_array_equal(a, b) at numba/np/arraymath.py:3540-3559

numpy.core.numeric.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.core.numeric.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4812-4823

numpy.core.numeric.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4826-4838

numpy.core.numeric.clip()

Alias to: numpy.clip

• defined by np_clip(a, a_min, a_max, out=None) at numba/np/arrayobj.py:2175-2294

numpy.core.numeric.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

numpy.core.numeric.convolve()

Alias to: numpy.convolve

• defined by np_convolve(a, v) at numba/np/arraymath.py:4210-4231

numpy.core.numeric.correlate()

Alias to: numpy.correlate

• defined by _np_correlate(a, v) at numba/np/arraymath.py:4165-4207

numpy.core.numeric.count_nonzero()

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(arr, axis=None) at numba/np/arraymath.py:3433-3447

numpy.core.numeric.cross()

Alias to: numpy.cross

• defined by np_cross(a, b) at numba/np/arraymath.py:4641-4663

numpy.core.numeric.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:401-423

numpy.core.numeric.cumsum()

Alias to: numpy.cumsum

• defined by array_cumsum(a) at numba/np/arraymath.py:376-398

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:4237-4256

numpy.core.numeric.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4271-4293

numpy.core.numeric.flatnonzero()

Alias to: numpy.flatnonzero

• defined by np_flatnonzero(a) at numba/np/arraymath.py:2940-2955

numpy.core.numeric.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:4916-4941

numpy.core.numeric.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4352-4366

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:4369-4380

numpy.core.numeric.identity()

Alias to: numpy.identity

• defined by impl_np_identity(n, dtype=None) at numba/np/arrayobj.py:4398-4411

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:1124-1163

numpy.core.numeric.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(num) at numba/np/arraymath.py:1014-1020

numpy.core.numeric.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:426-446

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:4383-4395

numpy.core.numeric.ones_like()

Alias to: numpy.ones_like

• defined by ol_np_ones_like(a, dtype=None) at numba/np/arrayobj.py:4338-4349

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:1861-1883

numpy.core.numeric.prod()

Alias to: numpy.prod

• defined by array_prod(a) at numba/np/arraymath.py:359-373

numpy.core.numeric.ptp()

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/np/arraymath.py:1409-1435

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:2452-2494

numpy.core.numeric.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, shape) at numba/np/arrayobj.py:2074-2078

numpy.core.numeric.roll()

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/np/arraymath.py:2296-2316

numpy.core.numeric.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.core.numeric.searchsorted()

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3709-3753

numpy.core.numeric.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2430-2437

numpy.core.numeric.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6155-6165

numpy.core.numeric.std()

Alias to: numpy.std

• defined by array_std(a) at numba/np/arraymath.py:467-474

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(arr, axis1, axis2) at numba/np/arrayobj.py:6411-6440

numpy.core.numeric.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4494-4539

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:449-464

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:3335-3343

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3346-3397

numpy.core.numeric.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

numpy.core.numeric.zeros_like()

Alias to: numpy.zeros_like

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4326-4335

Not showing 75 unsupported functions.

supported = 62 / 137 = 45.26%

numpy.core.numerictypes

numpy.core.numerictypes.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

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:5240-5252

numpy.core.shape_base.atleast_1d()

Alias to: numpy.atleast_1d

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5440-5443

numpy.core.shape_base.atleast_2d()

Alias to: numpy.atleast_2d

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5446-5449

numpy.core.shape_base.atleast_3d()

Alias to: numpy.atleast_3d

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5452-5455

numpy.core.shape_base.hstack()

Alias to: numpy.hstack

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5826-5831

numpy.core.shape_base.stack()

Alias to: numpy.stack

• defined by impl_np_stack(arrays, axis=0) at numba/np/arrayobj.py:5782-5787

numpy.core.shape_base.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:5861-5866

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:4568-4633

numpy.core.umath.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.core.umath.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.core.umath.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4812-4823

numpy.core.umath.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4826-4838

numpy.core.umath.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4237-4256

numpy.core.umath.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:4916-4941

numpy.core.umath.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

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:4234-4286

numpy.ctypeslib.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:4916-4941

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(a, 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:4568-4633

numpy.fft.helper.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.fft.helper.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4237-4256

numpy.fft.helper.roll()

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/np/arraymath.py:2296-2316

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:3202-3225

numpy.lib.append()

Alias to: numpy.append

• defined by np_append(arr, values, axis=None) at numba/np/arrayobj.py:2081-2104

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:6015-6075

numpy.lib.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4397-4419

numpy.lib.asfarray()

Alias to: numpy.asfarray

• defined by np_asfarray(a, dtype=<class 'numpy.float64'>) at numba/np/arraymath.py:4289-4301

numpy.lib.average()

Alias to: numpy.average

• defined by np_average(arr, axis=None, weights=None) at numba/np/arraymath.py:918-952

numpy.lib.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.lib.bincount()

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3595-3650

numpy.lib.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

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:5747-5752

numpy.lib.copy()

Alias to: numpy.copy

• defined by impl_numpy_copy(a) at numba/np/arrayobj.py:4727-4732

numpy.lib.corrcoef()

Alias to: numpy.corrcoef

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/np/arraymath.py:2878-2908

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:2819-2875

numpy.lib.delete()

Alias to: numpy.delete

• defined by np_delete(arr, obj) at numba/np/arraymath.py:3454-3498

numpy.lib.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4455-4491

numpy.lib.diff()

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3501-3537

numpy.lib.digitize()

Alias to: numpy.digitize

• defined by np_digitize(x, bins, right=False) at numba/np/arraymath.py:3756-3882

numpy.lib.dstack()

Alias to: numpy.dstack

• defined by impl_np_dstack(tup) at numba/np/arrayobj.py:5911-5916

numpy.lib.ediff1d()

Alias to: numpy.ediff1d

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/np/arraymath.py:2108-2161

numpy.lib.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5377-5389

numpy.lib.extract()

Alias to: numpy.extract

• defined by np_extract(condition, arr) at numba/np/arraymath.py:4304-4327

numpy.lib.eye()

Alias to: numpy.eye

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/np/arrayobj.py:4429-4452

numpy.lib.fill_diagonal()

Alias to: numpy.fill_diagonal

• defined by np_fill_diagonal(a, val, wrap=False) at numba/np/arraymath.py:3042-3072

numpy.lib.flip()

Alias to: numpy.flip

• defined by np_flip(a) at numba/np/arrayobj.py:6001-6012

numpy.lib.fliplr()

Alias to: numpy.fliplr

• defined by np_flip_lr(a) at numba/np/arrayobj.py:5937-5951

numpy.lib.flipud()

Alias to: numpy.flipud

• defined by np_flip_ud(a) at numba/np/arrayobj.py:5954-5968

numpy.lib.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.lib.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.lib.histogram()

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3888-3968

numpy.lib.imag()

Alias to: numpy.imag

• defined by np_imag(a) at numba/np/arraymath.py:3408-3413

numpy.lib.interp()

Alias to: numpy.interp

• defined by np_interp(x, xp, fp) at numba/np/arraymath.py:2593-2631

numpy.lib.intersect1d()

Alias to: numpy.intersect1d

• defined by jit_np_intersect1d(ar1, ar2) at numba/np/arraymath.py:3562-3582

numpy.lib.iscomplex()

Alias to: numpy.iscomplex

• defined by np_iscomplex(x) at numba/np/arraymath.py:968-973

numpy.lib.iscomplexobj()

Alias to: numpy.iscomplexobj

• defined by iscomplexobj(x) at numba/np/arraymath.py:984-1001

numpy.lib.isneginf()

Alias to: numpy.isneginf

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1036-1039

numpy.lib.isposinf()

Alias to: numpy.isposinf

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1042-1045

numpy.lib.isreal()

Alias to: numpy.isreal

• defined by np_isreal(x) at numba/np/arraymath.py:976-981

numpy.lib.isrealobj()

Alias to: numpy.isrealobj

• defined by isrealobj(x) at numba/np/arraymath.py:1004-1011

numpy.lib.kaiser()

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4574-4593

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:1572-1584

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:6547-6611

numpy.lib.nancumprod()

Alias to: numpy.nancumprod

• defined by np_nancumprod(a) at numba/np/arraymath.py:1284-1306

numpy.lib.nancumsum()

Alias to: numpy.nancumsum

• defined by np_nancumsum(a) at numba/np/arraymath.py:1309-1331

numpy.lib.nanmax()

Alias to: numpy.nanmax

• defined by np_nanmax(a) at numba/np/arraymath.py:1175-1181

numpy.lib.nanmean()

Alias to: numpy.nanmean

• defined by np_nanmean(a) at numba/np/arraymath.py:1184-1201

numpy.lib.nanmedian()

Alias to: numpy.nanmedian

• defined by np_nanmedian(a) at numba/np/arraymath.py:1758-1780

numpy.lib.nanmin()

Alias to: numpy.nanmin

• defined by np_nanmin(a) at numba/np/arraymath.py:1166-1172

numpy.lib.nanpercentile()

Alias to: numpy.nanpercentile

• defined by np_nanpercentile(a, q) at numba/np/arraymath.py:1737-1741

numpy.lib.nanprod()

Alias to: numpy.nanprod

• defined by np_nanprod(a) at numba/np/arraymath.py:1262-1281

numpy.lib.nanquantile()

Alias to: numpy.nanquantile

• defined by np_nanquantile(a, q) at numba/np/arraymath.py:1751-1755

numpy.lib.nanstd()

Alias to: numpy.nanstd

• defined by np_nanstd(a) at numba/np/arraymath.py:1229-1237

numpy.lib.nansum()

Alias to: numpy.nansum

• defined by np_nansum(a) at numba/np/arraymath.py:1240-1259

numpy.lib.nanvar()

Alias to: numpy.nanvar

• defined by np_nanvar(a) at numba/np/arraymath.py:1204-1226

numpy.lib.percentile()

Alias to: numpy.percentile

• defined by np_percentile(a, q) at numba/np/arraymath.py:1730-1734

numpy.lib.quantile()

Alias to: numpy.quantile

• defined by np_quantile(a, q) at numba/np/arraymath.py:1744-1748

numpy.lib.real()

Alias to: numpy.real

• defined by np_real(a) at numba/np/arraymath.py:3400-3405

numpy.lib.roots()

Alias to: numpy.roots

• defined by roots_impl(p) at numba/np/polynomial.py:14-59

numpy.lib.rot90()

Alias to: numpy.rot90

• defined by numpy_rot90(arr, k=1) at numba/np/arrayobj.py:1910-1934

numpy.lib.row_stack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:5861-5866

numpy.lib.select()

Alias to: numpy.select

• defined by np_select(condlist, choicelist, default=0) at numba/np/arraymath.py:4330-4378

numpy.lib.sinc()

Alias to: numpy.sinc

• defined by impl_np_sinc(x) at numba/np/arraymath.py:3182-3199

numpy.lib.split()

Alias to: numpy.split

• defined by np_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6078-6102

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:6503-6544

numpy.lib.trapz()

Alias to: numpy.trapz

• defined by np_trapz(y, x=None, dx=1.0) at numba/np/arraymath.py:2198-2217

numpy.lib.tri()

Alias to: numpy.tri

• defined by np_tri(N, M=None, k=0) at numba/np/arraymath.py:1927-1938

numpy.lib.tril()

Alias to: numpy.tril

• defined by my_tril(m, k=0) at numba/np/arraymath.py:1964-1988

numpy.lib.tril_indices()

Alias to: numpy.tril_indices

• defined by np_tril_indices(n, k=0, m=None) at numba/np/arraymath.py:1991-2002

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:2005-2016

numpy.lib.triu()

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2025-2048

numpy.lib.triu_indices()

Alias to: numpy.triu_indices

• defined by np_triu_indices(n, k=0, m=None) at numba/np/arraymath.py:2051-2062

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:2065-2076

numpy.lib.union1d()

Alias to: numpy.union1d

• defined by np_union1d(arr1, arr2) at numba/np/arraymath.py:4381-4394

numpy.lib.unique()

Alias to: numpy.unique

• defined by np_unique(a) at numba/np/arrayobj.py:2442-2449

numpy.lib.vander()

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2256-2293

Not showing 79 unsupported functions.

supported = 78 / 157 = 49.68%

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:2108-2161

numpy.lib.arraysetops.intersect1d()

Alias to: numpy.intersect1d

• defined by jit_np_intersect1d(ar1, ar2) at numba/np/arraymath.py:3562-3582

numpy.lib.arraysetops.union1d()

Alias to: numpy.union1d

• defined by np_union1d(arr1, arr2) at numba/np/arraymath.py:4381-4394

numpy.lib.arraysetops.unique()

Alias to: numpy.unique

• defined by np_unique(a) at numba/np/arrayobj.py:2442-2449

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:1892-1901

• 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:3202-3225

numpy.lib.function_base.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:906-915

numpy.lib.function_base.append()

Alias to: numpy.append

• defined by np_append(arr, values, axis=None) at numba/np/arrayobj.py:2081-2104

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:4568-4633

numpy.lib.function_base.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.lib.function_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.lib.function_base.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4397-4419

numpy.lib.function_base.average()

Alias to: numpy.average

• defined by np_average(arr, axis=None, weights=None) at numba/np/arraymath.py:918-952

numpy.lib.function_base.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.lib.function_base.bincount()

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3595-3650

numpy.lib.function_base.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.lib.function_base.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

numpy.lib.function_base.copy()

Alias to: numpy.copy

• defined by impl_numpy_copy(a) at numba/np/arrayobj.py:4727-4732

numpy.lib.function_base.corrcoef()

Alias to: numpy.corrcoef

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/np/arraymath.py:2878-2908

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:2819-2875

numpy.lib.function_base.delete()

Alias to: numpy.delete

• defined by np_delete(arr, obj) at numba/np/arraymath.py:3454-3498

numpy.lib.function_base.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4455-4491

numpy.lib.function_base.diff()

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3501-3537

numpy.lib.function_base.digitize()

Alias to: numpy.digitize

• defined by np_digitize(x, bins, right=False) at numba/np/arraymath.py:3756-3882

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:4237-4256

numpy.lib.function_base.extract()

Alias to: numpy.extract

• defined by np_extract(condition, arr) at numba/np/arraymath.py:4304-4327

numpy.lib.function_base.flip()

Alias to: numpy.flip

• defined by np_flip(a) at numba/np/arrayobj.py:6001-6012

numpy.lib.function_base.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.lib.function_base.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.lib.function_base.histogram()

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3888-3968

numpy.lib.function_base.interp()

Alias to: numpy.interp

• defined by np_interp(x, xp, fp) at numba/np/arraymath.py:2593-2631

numpy.lib.function_base.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(num) at numba/np/arraymath.py:1014-1020

numpy.lib.function_base.kaiser()

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4574-4593

numpy.lib.function_base.mean()

Alias to: numpy.mean

• defined by array_mean(a) at numba/np/arraymath.py:426-446

numpy.lib.function_base.median()

Alias to: numpy.median

• defined by np_median(a) at numba/np/arraymath.py:1572-1584

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:4383-4395

numpy.lib.function_base.partition()

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/np/arraymath.py:1861-1883

numpy.lib.function_base.percentile()

Alias to: numpy.percentile

• defined by np_percentile(a, q) at numba/np/arraymath.py:1730-1734

numpy.lib.function_base.quantile()

Alias to: numpy.quantile

• defined by np_quantile(a, q) at numba/np/arraymath.py:1744-1748

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(arr, k=1) at numba/np/arrayobj.py:1910-1934

numpy.lib.function_base.select()

Alias to: numpy.select

• defined by np_select(condlist, choicelist, default=0) at numba/np/arraymath.py:4330-4378

numpy.lib.function_base.sinc()

Alias to: numpy.sinc

• defined by impl_np_sinc(x) at numba/np/arraymath.py:3182-3199

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:4494-4539

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:2198-2217

numpy.lib.function_base.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3335-3343

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3346-3397

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:4326-4335

Not showing 22 unsupported functions.

supported = 46 / 68 = 67.65%

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:3888-3968

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:4568-4633

numpy.lib.index_tricks.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.lib.index_tricks.as_strided()

• defined by as_strided(x, shape=None, strides=None) at numba/np/arrayobj.py:6272-6298

numpy.lib.index_tricks.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.lib.index_tricks.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:401-423

numpy.lib.index_tricks.diff()

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3501-3537

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:3042-3072

numpy.lib.index_tricks.linspace()

Alias to: numpy.linspace

• defined by numpy_linspace(start, stop, num=50) at numba/np/arrayobj.py:4636-4673

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:1284-1306

numpy.lib.nanfunctions.nancumsum()

Alias to: numpy.nancumsum

• defined by np_nancumsum(a) at numba/np/arraymath.py:1309-1331

numpy.lib.nanfunctions.nanmax()

Alias to: numpy.nanmax

• defined by np_nanmax(a) at numba/np/arraymath.py:1175-1181

numpy.lib.nanfunctions.nanmean()

Alias to: numpy.nanmean

• defined by np_nanmean(a) at numba/np/arraymath.py:1184-1201

numpy.lib.nanfunctions.nanmedian()

Alias to: numpy.nanmedian

• defined by np_nanmedian(a) at numba/np/arraymath.py:1758-1780

numpy.lib.nanfunctions.nanmin()

Alias to: numpy.nanmin

• defined by np_nanmin(a) at numba/np/arraymath.py:1166-1172

numpy.lib.nanfunctions.nanpercentile()

Alias to: numpy.nanpercentile

• defined by np_nanpercentile(a, q) at numba/np/arraymath.py:1737-1741

numpy.lib.nanfunctions.nanprod()

Alias to: numpy.nanprod

• defined by np_nanprod(a) at numba/np/arraymath.py:1262-1281

numpy.lib.nanfunctions.nanquantile()

Alias to: numpy.nanquantile

• defined by np_nanquantile(a, q) at numba/np/arraymath.py:1751-1755

numpy.lib.nanfunctions.nanstd()

Alias to: numpy.nanstd

• defined by np_nanstd(a) at numba/np/arraymath.py:1229-1237

numpy.lib.nanfunctions.nansum()

Alias to: numpy.nansum

• defined by np_nansum(a) at numba/np/arraymath.py:1240-1259

numpy.lib.nanfunctions.nanvar()

Alias to: numpy.nanvar

• defined by np_nanvar(a) at numba/np/arraymath.py:1204-1226

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:5240-5252

numpy.lib.polynomial.atleast_1d()

Alias to: numpy.atleast_1d

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5440-5443

numpy.lib.polynomial.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4455-4491

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:5826-5831

numpy.lib.polynomial.imag()

Alias to: numpy.imag

• defined by np_imag(a) at numba/np/arraymath.py:3408-3413

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:968-973

numpy.lib.polynomial.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(num) at numba/np/arraymath.py:1014-1020

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:4383-4395

numpy.lib.polynomial.real()

Alias to: numpy.real

• defined by np_real(a) at numba/np/arraymath.py:3400-3405

numpy.lib.polynomial.roots()

Alias to: numpy.roots

• defined by roots_impl(p) at numba/np/polynomial.py:14-59

numpy.lib.polynomial.vander()

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2256-2293

Not showing 12 unsupported functions.

supported = 15 / 27 = 55.56%

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:906-915

numpy.lib.scimath.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.lib.scimath.isreal()

Alias to: numpy.isreal

• defined by np_isreal(x) at numba/np/arraymath.py:976-981

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:5240-5252

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:6015-6075

numpy.lib.shape_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.lib.shape_base.atleast_3d()

Alias to: numpy.atleast_3d

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5452-5455

numpy.lib.shape_base.column_stack()

Alias to: numpy.column_stack

• defined by impl_column_stack(tup) at numba/np/arrayobj.py:5747-5752

numpy.lib.shape_base.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

numpy.lib.shape_base.dstack()

Alias to: numpy.dstack

• defined by impl_np_dstack(tup) at numba/np/arrayobj.py:5911-5916

numpy.lib.shape_base.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5377-5389

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, shape) at numba/np/arrayobj.py:2074-2078

numpy.lib.shape_base.row_stack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:5861-5866

numpy.lib.shape_base.split()

Alias to: numpy.split

• defined by np_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6078-6102

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:6503-6544

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.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:5861-5866

numpy.lib.shape_base.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

Not showing 12 unsupported functions.

supported = 17 / 29 = 58.62%

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:6272-6298

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:6301-6393

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:4568-4633

numpy.lib.twodim_base.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

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:4455-4491

numpy.lib.twodim_base.empty()

Alias to: numpy.empty

• defined by ol_np_empty(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4237-4256

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:4429-4452

numpy.lib.twodim_base.fliplr()

Alias to: numpy.fliplr

• defined by np_flip_lr(a) at numba/np/arrayobj.py:5937-5951

numpy.lib.twodim_base.flipud()

Alias to: numpy.flipud

• defined by np_flip_ud(a) at numba/np/arrayobj.py:5954-5968

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:4383-4395

numpy.lib.twodim_base.tri()

Alias to: numpy.tri

• defined by np_tri(N, M=None, k=0) at numba/np/arraymath.py:1927-1938

numpy.lib.twodim_base.tril()

Alias to: numpy.tril

• defined by my_tril(m, k=0) at numba/np/arraymath.py:1964-1988

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:1991-2002

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:2005-2016

numpy.lib.twodim_base.triu()

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2025-2048

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:2051-2062

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:2065-2076

numpy.lib.twodim_base.vander()

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2256-2293

numpy.lib.twodim_base.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3335-3343

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3346-3397

numpy.lib.twodim_base.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

Not showing 9 unsupported functions.

supported = 20 / 29 = 68.97%

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:4234-4286

numpy.lib.type_check.asfarray()

Alias to: numpy.asfarray

• defined by np_asfarray(a, dtype=<class 'numpy.float64'>) at numba/np/arraymath.py:4289-4301

numpy.lib.type_check.imag()

Alias to: numpy.imag

• defined by np_imag(a) at numba/np/arraymath.py:3408-3413

numpy.lib.type_check.iscomplex()

Alias to: numpy.iscomplex

• defined by np_iscomplex(x) at numba/np/arraymath.py:968-973

numpy.lib.type_check.iscomplexobj()

Alias to: numpy.iscomplexobj

• defined by iscomplexobj(x) at numba/np/arraymath.py:984-1001

numpy.lib.type_check.isneginf()

Alias to: numpy.isneginf

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1036-1039

numpy.lib.type_check.isposinf()

Alias to: numpy.isposinf

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1042-1045

numpy.lib.type_check.isreal()

Alias to: numpy.isreal

• defined by np_isreal(x) at numba/np/arraymath.py:976-981

numpy.lib.type_check.isrealobj()

Alias to: numpy.isrealobj

• defined by isrealobj(x) at numba/np/arraymath.py:1004-1011

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:6547-6611

numpy.lib.type_check.real()

Alias to: numpy.real

• defined by np_real(a) at numba/np/arraymath.py:3400-3405

numpy.lib.type_check.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

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:1036-1039

numpy.lib.ufunclike.isposinf()

Alias to: numpy.isposinf

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1042-1045

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:4568-4633

numpy.lib.user_array.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.lib.user_array.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.lib.user_array.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, shape) at numba/np/arrayobj.py:2074-2078

numpy.lib.user_array.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2430-2437

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:4234-4286

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(a, 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(a, 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:800-809

numpy.linalg.linalg.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-587

numpy.linalg.linalg.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

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:5240-5252

numpy.linalg.linalg.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.linalg.linalg.atleast_2d()

Alias to: numpy.atleast_2d

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5446-5449

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(a, p=None) at numba/np/linalg.py:2436-2478

numpy.linalg.linalg.count_nonzero()

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(arr, axis=None) at numba/np/arraymath.py:3433-3447

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:4237-4256

numpy.linalg.linalg.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4271-4293

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:4429-4452

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(a, 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:6155-6165

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(arr, axis1, axis2) at numba/np/arrayobj.py:6411-6440

numpy.linalg.linalg.triu()

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2025-2048

numpy.linalg.linalg.zeros()

Alias to: numpy.zeros

• defined by ol_np_zeros(shape, dtype=<class 'float'>) at numba/np/arrayobj.py:4315-4323

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:541-587

numpy.ma.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

numpy.ma.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5377-5389

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:541-587

numpy.ma.core.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

numpy.ma.core.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5377-5389

numpy.ma.core.iscomplexobj()

Alias to: numpy.iscomplexobj

• defined by iscomplexobj(x) at numba/np/arraymath.py:984-1001

numpy.ma.core.narray()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

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:5240-5252

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:5240-5252

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:800-809

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:838-903

numpy.matlib.amax()

Alias to: numpy.amax

• defined by npy_max(a) at numba/np/arraymath.py:541-587

numpy.matlib.amin()

Alias to: numpy.amin

• defined by npy_min(a) at numba/np/arraymath.py:492-538

numpy.matlib.angle()

Alias to: numpy.angle

• defined by ov_np_angle(z, deg=False) at numba/np/arraymath.py:3202-3225

numpy.matlib.any()

Alias to: numpy.any

• defined by np_any(a) at numba/np/arraymath.py:906-915

numpy.matlib.append()

Alias to: numpy.append

• defined by np_append(arr, values, axis=None) at numba/np/arrayobj.py:2081-2104

numpy.matlib.arange()

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/np/arrayobj.py:4568-4633

numpy.matlib.argmax()

Alias to: numpy.argmax

• defined by array_argmax(arr, axis=None) at numba/np/arraymath.py:780-797

numpy.matlib.argmin()

Alias to: numpy.argmin

• defined by array_argmin(arr, axis=None) at numba/np/arraymath.py:654-671

numpy.matlib.argpartition()

Alias to: numpy.argpartition

• defined by np_argpartition(a, kth) at numba/np/arraymath.py:1886-1908

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:2915-2937

numpy.matlib.around()

Alias to: numpy.around

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.matlib.array()

Alias to: numpy.array

• defined by impl_np_array(object, dtype=None) at numba/np/arrayobj.py:5240-5252

numpy.matlib.array_equal()

Alias to: numpy.array_equal

• defined by np_array_equal(a, b) at numba/np/arraymath.py:3540-3559

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:6015-6075

numpy.matlib.asarray()

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/np/arraymath.py:4234-4286

numpy.matlib.asarray_chkfinite()

Alias to: numpy.asarray_chkfinite

• defined by np_asarray_chkfinite(a, dtype=None) at numba/np/arraymath.py:4397-4419

numpy.matlib.ascontiguousarray()

Alias to: numpy.ascontiguousarray

• defined by array_ascontiguousarray(a) at numba/np/arrayobj.py:4812-4823

numpy.matlib.asfarray()

Alias to: numpy.asfarray

• defined by np_asfarray(a, dtype=<class 'numpy.float64'>) at numba/np/arraymath.py:4289-4301

numpy.matlib.asfortranarray()

Alias to: numpy.asfortranarray

• defined by array_asfortranarray(a) at numba/np/arrayobj.py:4826-4838

numpy.matlib.atleast_1d()

Alias to: numpy.atleast_1d

• defined by np_atleast_1d(*args) at numba/np/arrayobj.py:5440-5443

numpy.matlib.atleast_2d()

Alias to: numpy.atleast_2d

• defined by np_atleast_2d(*args) at numba/np/arrayobj.py:5446-5449

numpy.matlib.atleast_3d()

Alias to: numpy.atleast_3d

• defined by np_atleast_3d(*args) at numba/np/arrayobj.py:5452-5455

numpy.matlib.average()

Alias to: numpy.average

• defined by np_average(arr, axis=None, weights=None) at numba/np/arraymath.py:918-952

numpy.matlib.bartlett()

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.matlib.bincount()

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None, minlength=0) at numba/np/arraymath.py:3595-3650

numpy.matlib.blackman()

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

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:2175-2294

numpy.matlib.column_stack()

Alias to: numpy.column_stack

• defined by impl_column_stack(tup) at numba/np/arrayobj.py:5747-5752

numpy.matlib.concatenate()

Alias to: numpy.concatenate

• defined by impl_np_concatenate(arrays, axis=0) at numba/np/arrayobj.py:5692-5697

numpy.matlib.convolve()

Alias to: numpy.convolve

• defined by np_convolve(a, v) at numba/np/arraymath.py:4210-4231

numpy.matlib.copy()

Alias to: numpy.copy

• defined by impl_numpy_copy(a) at numba/np/arrayobj.py:4727-4732

numpy.matlib.corrcoef()

Alias to: numpy.corrcoef

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/np/arraymath.py:2878-2908

numpy.matlib.correlate()

Alias to: numpy.correlate

• defined by _np_correlate(a, v) at numba/np/arraymath.py:4165-4207

numpy.matlib.count_nonzero()

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(arr, axis=None) at numba/np/arraymath.py:3433-3447

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:2819-2875

numpy.matlib.cross()

Alias to: numpy.cross

• defined by np_cross(a, b) at numba/np/arraymath.py:4641-4663

numpy.matlib.cumprod()

Alias to: numpy.cumprod

• defined by array_cumprod(a) at numba/np/arraymath.py:401-423

numpy.matlib.cumsum()

Alias to: numpy.cumsum

• defined by array_cumsum(a) at numba/np/arraymath.py:376-398

numpy.matlib.delete()

Alias to: numpy.delete

• defined by np_delete(arr, obj) at numba/np/arraymath.py:3454-3498

numpy.matlib.diag()

Alias to: numpy.diag

• defined by impl_np_diag(v, k=0) at numba/np/arrayobj.py:4455-4491

numpy.matlib.diff()

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/np/arraymath.py:3501-3537

numpy.matlib.digitize()

Alias to: numpy.digitize

• defined by np_digitize(x, bins, right=False) at numba/np/arraymath.py:3756-3882

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.dstack()

Alias to: numpy.dstack

• defined by impl_np_dstack(tup) at numba/np/arrayobj.py:5911-5916

numpy.matlib.ediff1d()

Alias to: numpy.ediff1d

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/np/arraymath.py:2108-2161

numpy.matlib.empty_like()

Alias to: numpy.empty_like

• defined by ol_np_empty_like(arr, dtype=None) at numba/np/arrayobj.py:4271-4293

numpy.matlib.expand_dims()

Alias to: numpy.expand_dims

• defined by impl_np_expand_dims(a, axis) at numba/np/arrayobj.py:5377-5389

numpy.matlib.extract()

Alias to: numpy.extract

• defined by np_extract(condition, arr) at numba/np/arraymath.py:4304-4327

numpy.matlib.fill_diagonal()

Alias to: numpy.fill_diagonal

• defined by np_fill_diagonal(a, val, wrap=False) at numba/np/arraymath.py:3042-3072

numpy.matlib.flatnonzero()

Alias to: numpy.flatnonzero

• defined by np_flatnonzero(a) at numba/np/arraymath.py:2940-2955

numpy.matlib.flip()

Alias to: numpy.flip

• defined by np_flip(a) at numba/np/arrayobj.py:6001-6012

numpy.matlib.fliplr()

Alias to: numpy.fliplr

• defined by np_flip_lr(a) at numba/np/arrayobj.py:5937-5951

numpy.matlib.flipud()

Alias to: numpy.flipud

• defined by np_flip_ud(a) at numba/np/arrayobj.py:5954-5968

numpy.matlib.frombuffer()

Alias to: numpy.frombuffer

• defined by impl_np_frombuffer(buffer, dtype=<class 'float'>) at numba/np/arrayobj.py:4916-4941

numpy.matlib.full()

Alias to: numpy.full

• defined by impl_np_full(shape, fill_value, dtype=None) at numba/np/arrayobj.py:4352-4366

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:4369-4380

numpy.matlib.hamming()

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.matlib.hanning()

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/np/arraymath.py:4456-4468

numpy.matlib.histogram()

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/np/arraymath.py:3888-3968

numpy.matlib.hstack()

Alias to: numpy.hstack

• defined by impl_np_hstack(tup) at numba/np/arrayobj.py:5826-5831

numpy.matlib.imag()

Alias to: numpy.imag

• defined by np_imag(a) at numba/np/arraymath.py:3408-3413

numpy.matlib.interp()

Alias to: numpy.interp

• defined by np_interp(x, xp, fp) at numba/np/arraymath.py:2593-2631

numpy.matlib.intersect1d()

Alias to: numpy.intersect1d

• defined by jit_np_intersect1d(ar1, ar2) at numba/np/arraymath.py:3562-3582

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:1124-1163

numpy.matlib.iscomplex()

Alias to: numpy.iscomplex

• defined by np_iscomplex(x) at numba/np/arraymath.py:968-973

numpy.matlib.iscomplexobj()

Alias to: numpy.iscomplexobj

• defined by iscomplexobj(x) at numba/np/arraymath.py:984-1001

numpy.matlib.isneginf()

Alias to: numpy.isneginf

• defined by isneginf(x, out=None) at numba/np/arraymath.py:1036-1039

numpy.matlib.isposinf()

Alias to: numpy.isposinf

• defined by isposinf(x, out=None) at numba/np/arraymath.py:1042-1045

numpy.matlib.isreal()

Alias to: numpy.isreal

• defined by np_isreal(x) at numba/np/arraymath.py:976-981

numpy.matlib.isrealobj()

Alias to: numpy.isrealobj

• defined by isrealobj(x) at numba/np/arraymath.py:1004-1011

numpy.matlib.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(num) at numba/np/arraymath.py:1014-1020

numpy.matlib.kaiser()

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/np/arraymath.py:4574-4593

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:4636-4673

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:426-446

numpy.matlib.median()

Alias to: numpy.median

• defined by np_median(a) at numba/np/arraymath.py:1572-1584

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:6547-6611

numpy.matlib.nancumprod()

Alias to: numpy.nancumprod

• defined by np_nancumprod(a) at numba/np/arraymath.py:1284-1306

numpy.matlib.nancumsum()

Alias to: numpy.nancumsum

• defined by np_nancumsum(a) at numba/np/arraymath.py:1309-1331

numpy.matlib.nanmax()

Alias to: numpy.nanmax

• defined by np_nanmax(a) at numba/np/arraymath.py:1175-1181

numpy.matlib.nanmean()

Alias to: numpy.nanmean

• defined by np_nanmean(a) at numba/np/arraymath.py:1184-1201

numpy.matlib.nanmedian()

Alias to: numpy.nanmedian

• defined by np_nanmedian(a) at numba/np/arraymath.py:1758-1780

numpy.matlib.nanmin()

Alias to: numpy.nanmin

• defined by np_nanmin(a) at numba/np/arraymath.py:1166-1172

numpy.matlib.nanpercentile()

Alias to: numpy.nanpercentile

• defined by np_nanpercentile(a, q) at numba/np/arraymath.py:1737-1741

numpy.matlib.nanprod()

Alias to: numpy.nanprod

• defined by np_nanprod(a) at numba/np/arraymath.py:1262-1281

numpy.matlib.nanquantile()

Alias to: numpy.nanquantile

• defined by np_nanquantile(a, q) at numba/np/arraymath.py:1751-1755

numpy.matlib.nanstd()

Alias to: numpy.nanstd

• defined by np_nanstd(a) at numba/np/arraymath.py:1229-1237

numpy.matlib.nansum()

Alias to: numpy.nansum

• defined by np_nansum(a) at numba/np/arraymath.py:1240-1259

numpy.matlib.nanvar()

Alias to: numpy.nanvar

• defined by np_nanvar(a) at numba/np/arraymath.py:1204-1226

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:4338-4349

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:1861-1883

numpy.matlib.percentile()

Alias to: numpy.percentile

• defined by np_percentile(a, q) at numba/np/arraymath.py:1730-1734

numpy.matlib.prod()

Alias to: numpy.prod

• defined by array_prod(a) at numba/np/arraymath.py:359-373

numpy.matlib.ptp()

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/np/arraymath.py:1409-1435

numpy.matlib.quantile()

Alias to: numpy.quantile

• defined by np_quantile(a, q) at numba/np/arraymath.py:1744-1748

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(a) at numba/np/arraymath.py:3400-3405

numpy.matlib.repeat()

Alias to: numpy.repeat

• defined by np_repeat(a, repeats) at numba/np/arrayobj.py:2452-2494

numpy.matlib.reshape()

Alias to: numpy.reshape

• defined by np_reshape(a, shape) at numba/np/arrayobj.py:2074-2078

numpy.matlib.roll()

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/np/arraymath.py:2296-2316

numpy.matlib.roots()

Alias to: numpy.roots

• defined by roots_impl(p) at numba/np/polynomial.py:14-59

numpy.matlib.rot90()

Alias to: numpy.rot90

• defined by numpy_rot90(arr, k=1) at numba/np/arrayobj.py:1910-1934

numpy.matlib.round_()

Alias to: numpy.round

• defined by impl_np_round(a, decimals=0, out=None) at numba/np/arraymath.py:3125-3179

numpy.matlib.row_stack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:5861-5866

numpy.matlib.searchsorted()

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/np/arraymath.py:3709-3753

numpy.matlib.select()

Alias to: numpy.select

• defined by np_select(condlist, choicelist, default=0) at numba/np/arraymath.py:4330-4378

numpy.matlib.shape()

Alias to: numpy.shape

• defined by np_shape(a) at numba/np/arrayobj.py:2430-2437

numpy.matlib.sinc()

Alias to: numpy.sinc

• defined by impl_np_sinc(x) at numba/np/arraymath.py:3182-3199

numpy.matlib.sort()

Alias to: numpy.sort

• defined by impl_np_sort(a) at numba/np/arrayobj.py:6155-6165

numpy.matlib.split()

Alias to: numpy.split

• defined by np_split(ary, indices_or_sections, axis=0) at numba/np/arrayobj.py:6078-6102

numpy.matlib.stack()

Alias to: numpy.stack

• defined by impl_np_stack(arrays, axis=0) at numba/np/arrayobj.py:5782-5787

numpy.matlib.std()

Alias to: numpy.std

• defined by array_std(a) at numba/np/arraymath.py:467-474

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(arr, axis1, axis2) at numba/np/arrayobj.py:6411-6440

numpy.matlib.take()

Alias to: numpy.take

• defined by numpy_take(a, indices) at numba/np/arrayobj.py:4494-4539

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:6503-6544

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:2198-2217

numpy.matlib.tri()

Alias to: numpy.tri

• defined by np_tri(N, M=None, k=0) at numba/np/arraymath.py:1927-1938

numpy.matlib.tril()

Alias to: numpy.tril

• defined by my_tril(m, k=0) at numba/np/arraymath.py:1964-1988

numpy.matlib.tril_indices()

Alias to: numpy.tril_indices

• defined by np_tril_indices(n, k=0, m=None) at numba/np/arraymath.py:1991-2002

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:2005-2016

numpy.matlib.triu()

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/np/arraymath.py:2025-2048

numpy.matlib.triu_indices()

Alias to: numpy.triu_indices

• defined by np_triu_indices(n, k=0, m=None) at numba/np/arraymath.py:2051-2062

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:2065-2076

numpy.matlib.union1d()

Alias to: numpy.union1d

• defined by np_union1d(arr1, arr2) at numba/np/arraymath.py:4381-4394

numpy.matlib.unique()

Alias to: numpy.unique

• defined by np_unique(a) at numba/np/arrayobj.py:2442-2449

numpy.matlib.vander()

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/np/arraymath.py:2256-2293

numpy.matlib.var()

Alias to: numpy.var

• defined by array_var(a) at numba/np/arraymath.py:449-464

numpy.matlib.vdot()

Alias to: numpy.vdot

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

numpy.matlib.vstack()

Alias to: numpy.row_stack

• defined by impl_np_vstack(tup) at numba/np/arrayobj.py:5861-5866

numpy.matlib.where()

Alias to: numpy.where

• defined by ov_np_where(condition) at numba/np/arraymath.py:3335-3343

• defined by ov_np_where_x_y(condition, x, y) at numba/np/arraymath.py:3346-3397

numpy.matlib.zeros_like()

Alias to: numpy.zeros_like

• defined by ol_np_zeros_like(a, dtype=None) at numba/np/arrayobj.py:4326-4335

Not showing 164 unsupported functions.

supported = 143 / 307 = 46.58%

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:5692-5697

numpy.matrixlib.defmatrix.isscalar()

Alias to: numpy.isscalar

• defined by np_isscalar(num) at numba/np/arraymath.py:1014-1020

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

This module is not supported.

numpy.polynomial.polyutils

This module is not supported.

numpy.polynomial.setup

This module is not supported.

numpy.random

numpy.random.beta()

• defined by betavariate_impl(alpha, beta) at numba/cpython/randomimpl.py:886-890

• defined by beta_impl(alpha, beta, size) at numba/cpython/randomimpl.py:907-920

numpy.random.binomial()

• defined by binomial_impl(n, p) at numba/cpython/randomimpl.py:1183-1236

• defined by binomial_impl(n, p, size) at numba/cpython/randomimpl.py:1239-1252

numpy.random.chisquare()

• defined by chisquare_impl(df) at numba/cpython/randomimpl.py:1255-1261

• defined by chisquare_impl2(p, size) at numba/cpython/randomimpl.py:1264-1277

numpy.random.choice()

• defined by choice(a, size=None, replace=True) at numba/cpython/randomimpl.py:1920-2001

numpy.random.dirichlet()

• defined by dirichlet(alpha) at numba/cpython/randomimpl.py:2088-2095

• defined by dirichlet(alpha, size=None) at numba/cpython/randomimpl.py:2098-2139

numpy.random.exponential()

• defined by exponential_impl(scale) at numba/cpython/randomimpl.py:939-944

• defined by exponential_impl(scale, size) at numba/cpython/randomimpl.py:947-960

• defined by exponential_impl() at numba/cpython/randomimpl.py:963-968

numpy.random.f()

• defined by f_impl(num, denom) at numba/cpython/randomimpl.py:1280-1288

• defined by f_impl(num, denom, size) at numba/cpython/randomimpl.py:1291-1306

numpy.random.gamma()

• defined by gammavariate_impl(alpha) at numba/cpython/randomimpl.py:774-778

• defined by gammavariate_impl(alpha, beta) at numba/cpython/randomimpl.py:781-785

• defined by gamma_impl(alpha, beta, size) at numba/cpython/randomimpl.py:847-860

numpy.random.geometric()

• defined by geometric_impl(p) at numba/cpython/randomimpl.py:1309-1330

• defined by geometric_impl(p, size) at numba/cpython/randomimpl.py:1333-1346

numpy.random.gumbel()

• defined by gumbel_impl(loc, scale) at numba/cpython/randomimpl.py:1349-1357

• defined by gumbel_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1360-1373

numpy.random.hypergeometric()

• defined by hypergeometric_impl(ngood, nbad, nsamples) at numba/cpython/randomimpl.py:1376-1397

• defined by hypergeometric_impl(ngood, nbad, nsamples, size) at numba/cpython/randomimpl.py:1400-1414

numpy.random.laplace()

• defined by laplace_impl0() at numba/cpython/randomimpl.py:1417-1419

• defined by laplace_impl1(loc) at numba/cpython/randomimpl.py:1422-1425

• defined by laplace_impl2(loc, scale) at numba/cpython/randomimpl.py:1428-1432

• defined by laplace_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1435-1448

numpy.random.logistic()

• defined by logistic_impl0() at numba/cpython/randomimpl.py:1459-1461

• defined by logistic_impl1(loc) at numba/cpython/randomimpl.py:1464-1467

• defined by logistic_impl2(loc, scale) at numba/cpython/randomimpl.py:1470-1474

• defined by logistic_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1477-1490

numpy.random.lognormal()

• defined by np_lognormal_impl0() at numba/cpython/randomimpl.py:988-990

• defined by np_log_normal_impl1(mu) at numba/cpython/randomimpl.py:993-996

• defined by np_log_normal_impl2(mu, sigma) at numba/cpython/randomimpl.py:999-1003

• defined by lognormal_impl(mu, sigma, size) at numba/cpython/randomimpl.py:1006-1019

numpy.random.logseries()

• defined by logseries_impl(p) at numba/cpython/randomimpl.py:1519-1522

• defined by logseries_impl(p, size) at numba/cpython/randomimpl.py:1525-1538

numpy.random.multinomial()

• defined by multinomial(n, pvals, size=None) at numba/cpython/randomimpl.py:2007-2082

numpy.random.negative_binomial()

• defined by negative_binomial_impl(n, p) at numba/cpython/randomimpl.py:1541-1553

numpy.random.noncentral_chisquare()

• defined by noncentral_chisquare(df, nonc) at numba/cpython/randomimpl.py:2168-2176

• defined by noncentral_chisquare(df, nonc, size=None) at numba/cpython/randomimpl.py:2179-2202

numpy.random.normal()

• defined by np_gauss_impl0() at numba/cpython/randomimpl.py:285-288

• defined by np_gauss_impl1(loc) at numba/cpython/randomimpl.py:291-294

• defined by np_gauss_impl2(loc, scale) at numba/cpython/randomimpl.py:297-307

• defined by np_gauss_impl3(loc, scale, size) at numba/cpython/randomimpl.py:326-343

numpy.random.pareto()

• defined by pareto_impl(alpha) at numba/cpython/randomimpl.py:1044-1052

• defined by pareto_impl(alpha, size) at numba/cpython/randomimpl.py:1055-1068

numpy.random.permutation()

• defined by permutation_impl(x) at numba/cpython/randomimpl.py:1867-1881

numpy.random.poisson()

• defined by poisson_impl0() at numba/cpython/randomimpl.py:1556-1558

• defined by poisson_impl1(lam) at numba/cpython/randomimpl.py:1561-1624

• defined by poisson_impl2(lam, size) at numba/cpython/randomimpl.py:1627-1642

numpy.random.power()

• defined by power_impl(a) at numba/cpython/randomimpl.py:1645-1654

• defined by power_impl(a, size) at numba/cpython/randomimpl.py:1657-1670

numpy.random.rand()

• defined by rand(*size) at numba/cpython/randomimpl.py:1887-1899

numpy.random.randint()

• defined by np_randint_impl_1(high) at numba/cpython/randomimpl.py:565-568

• defined by np_randint_impl_2(low, high) at numba/cpython/randomimpl.py:571-593

• defined by np_randint_impl_3(low, high, size) at numba/cpython/randomimpl.py:596-614

numpy.random.randn()

• defined by randn(*size) at numba/cpython/randomimpl.py:1902-1914

numpy.random.random()

• defined by random_impl0() at numba/cpython/randomimpl.py:238-249

• defined by random_impl1(size) at numba/cpython/randomimpl.py:252-268

numpy.random.random_sample()

• defined by random_impl0() at numba/cpython/randomimpl.py:238-249

• defined by random_impl1(size) at numba/cpython/randomimpl.py:252-268

numpy.random.ranf()

• defined by random_impl0() at numba/cpython/randomimpl.py:238-249

• defined by random_impl1(size) at numba/cpython/randomimpl.py:252-268

numpy.random.rayleigh()

• defined by rayleigh_impl0() at numba/cpython/randomimpl.py:1673-1675

• defined by rayleigh_impl1(mode) at numba/cpython/randomimpl.py:1678-1681

• defined by rayleigh_impl2(mode, size) at numba/cpython/randomimpl.py:1690-1703

numpy.random.sample()

• defined by random_impl0() at numba/cpython/randomimpl.py:238-249

• defined by random_impl1(size) at numba/cpython/randomimpl.py:252-268

numpy.random.seed()

• defined by seed_impl(seed) at numba/cpython/randomimpl.py:206-209

numpy.random.shuffle()

• defined by shuffle_impl(arr) at numba/cpython/randomimpl.py:1862-1864

numpy.random.standard_cauchy()

• defined by cauchy_impl() at numba/cpython/randomimpl.py:1706-1711

• defined by standard_cauchy_impl(size) at numba/cpython/randomimpl.py:1714-1727

numpy.random.standard_exponential()

• defined by exponential_impl() at numba/cpython/randomimpl.py:963-968

• defined by standard_exponential_impl(size) at numba/cpython/randomimpl.py:971-985

numpy.random.standard_gamma()

• defined by gammavariate_impl(alpha) at numba/cpython/randomimpl.py:774-778

• defined by standard_gamma_impl(alpha, size) at numba/cpython/randomimpl.py:863-876

numpy.random.standard_normal()

• defined by np_gauss_impl0() at numba/cpython/randomimpl.py:285-288

• defined by standard_normal_impl1(size) at numba/cpython/randomimpl.py:310-323

numpy.random.standard_t()

• defined by standard_t_impl(df) at numba/cpython/randomimpl.py:1730-1739

• defined by standard_t_impl2(df, size) at numba/cpython/randomimpl.py:1742-1755

numpy.random.triangular()

• defined by triangular_impl_3(low, mode, high) at numba/cpython/randomimpl.py:731-747

• defined by triangular_impl(low, high, mode, size) at numba/cpython/randomimpl.py:750-764

numpy.random.uniform()

• defined by np_uniform_impl0() at numba/cpython/randomimpl.py:622-624

• defined by np_uniform_impl1(low) at numba/cpython/randomimpl.py:633-636

• defined by np_uniform_impl2(low, high) at numba/cpython/randomimpl.py:652-662

• defined by np_uniform_impl3(low, high, size) at numba/cpython/randomimpl.py:677-694

numpy.random.vonmises()

• defined by vonmisesvariate_impl(mu, kappa) at numba/cpython/randomimpl.py:1117-1120

• defined by vonmises_impl(mu, kappa, size) at numba/cpython/randomimpl.py:1167-1180

numpy.random.wald()

• defined by wald_impl(mean, scale) at numba/cpython/randomimpl.py:1758-1776

• defined by wald_impl2(mean, scale, size) at numba/cpython/randomimpl.py:1779-1792

numpy.random.weibull()

• defined by weibull_impl(beta) at numba/cpython/randomimpl.py:1084-1092

• defined by weibull_impl2(beta, size) at numba/cpython/randomimpl.py:1095-1108

numpy.random.zipf()

• defined by zipf_impl(a) at numba/cpython/randomimpl.py:1795-1811

• defined by zipf_impl(a, size) at numba/cpython/randomimpl.py:1814-1827

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 betavariate_impl(alpha, beta) at numba/cpython/randomimpl.py:886-890

• defined by beta_impl(alpha, beta, size) at numba/cpython/randomimpl.py:907-920

numpy.random.mtrand.binomial()

Alias to: numpy.random.binomial

• defined by binomial_impl(n, p) at numba/cpython/randomimpl.py:1183-1236

• defined by binomial_impl(n, p, size) at numba/cpython/randomimpl.py:1239-1252

numpy.random.mtrand.chisquare()

Alias to: numpy.random.chisquare

• defined by chisquare_impl(df) at numba/cpython/randomimpl.py:1255-1261

• defined by chisquare_impl2(p, size) at numba/cpython/randomimpl.py:1264-1277

numpy.random.mtrand.choice()

Alias to: numpy.random.choice

• defined by choice(a, size=None, replace=True) at numba/cpython/randomimpl.py:1920-2001

numpy.random.mtrand.dirichlet()

Alias to: numpy.random.dirichlet

• defined by dirichlet(alpha) at numba/cpython/randomimpl.py:2088-2095

• defined by dirichlet(alpha, size=None) at numba/cpython/randomimpl.py:2098-2139

numpy.random.mtrand.exponential()

Alias to: numpy.random.exponential

• defined by exponential_impl(scale) at numba/cpython/randomimpl.py:939-944

• defined by exponential_impl(scale, size) at numba/cpython/randomimpl.py:947-960

• defined by exponential_impl() at numba/cpython/randomimpl.py:963-968

numpy.random.mtrand.f()

Alias to: numpy.random.f

• defined by f_impl(num, denom) at numba/cpython/randomimpl.py:1280-1288

• defined by f_impl(num, denom, size) at numba/cpython/randomimpl.py:1291-1306

numpy.random.mtrand.gamma()

Alias to: numpy.random.gamma

• defined by gammavariate_impl(alpha) at numba/cpython/randomimpl.py:774-778

• defined by gammavariate_impl(alpha, beta) at numba/cpython/randomimpl.py:781-785

• defined by gamma_impl(alpha, beta, size) at numba/cpython/randomimpl.py:847-860

numpy.random.mtrand.geometric()

Alias to: numpy.random.geometric

• defined by geometric_impl(p) at numba/cpython/randomimpl.py:1309-1330

• defined by geometric_impl(p, size) at numba/cpython/randomimpl.py:1333-1346

numpy.random.mtrand.gumbel()

Alias to: numpy.random.gumbel

• defined by gumbel_impl(loc, scale) at numba/cpython/randomimpl.py:1349-1357

• defined by gumbel_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1360-1373

numpy.random.mtrand.hypergeometric()

Alias to: numpy.random.hypergeometric

• defined by hypergeometric_impl(ngood, nbad, nsamples) at numba/cpython/randomimpl.py:1376-1397

• defined by hypergeometric_impl(ngood, nbad, nsamples, size) at numba/cpython/randomimpl.py:1400-1414

numpy.random.mtrand.laplace()

Alias to: numpy.random.laplace

• defined by laplace_impl0() at numba/cpython/randomimpl.py:1417-1419

• defined by laplace_impl1(loc) at numba/cpython/randomimpl.py:1422-1425

• defined by laplace_impl2(loc, scale) at numba/cpython/randomimpl.py:1428-1432

• defined by laplace_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1435-1448

numpy.random.mtrand.logistic()

Alias to: numpy.random.logistic

• defined by logistic_impl0() at numba/cpython/randomimpl.py:1459-1461

• defined by logistic_impl1(loc) at numba/cpython/randomimpl.py:1464-1467

• defined by logistic_impl2(loc, scale) at numba/cpython/randomimpl.py:1470-1474

• defined by logistic_impl3(loc, scale, size) at numba/cpython/randomimpl.py:1477-1490

numpy.random.mtrand.lognormal()

Alias to: numpy.random.lognormal

• defined by np_lognormal_impl0() at numba/cpython/randomimpl.py:988-990

• defined by np_log_normal_impl1(mu) at numba/cpython/randomimpl.py:993-996

• defined by np_log_normal_impl2(mu, sigma) at numba/cpython/randomimpl.py:999-1003

• defined by lognormal_impl(mu, sigma, size) at numba/cpython/randomimpl.py:1006-1019

numpy.random.mtrand.logseries()

Alias to: numpy.random.logseries

• defined by logseries_impl(p) at numba/cpython/randomimpl.py:1519-1522

• defined by logseries_impl(p, size) at numba/cpython/randomimpl.py:1525-1538

numpy.random.mtrand.multinomial()

Alias to: numpy.random.multinomial

• defined by multinomial(n, pvals, size=None) at numba/cpython/randomimpl.py:2007-2082

numpy.random.mtrand.negative_binomial()

Alias to: numpy.random.negative_binomial

• defined by negative_binomial_impl(n, p) at numba/cpython/randomimpl.py:1541-1553

numpy.random.mtrand.noncentral_chisquare()

Alias to: numpy.random.noncentral_chisquare

• defined by noncentral_chisquare(df, nonc) at numba/cpython/randomimpl.py:2168-2176

• defined by noncentral_chisquare(df, nonc, size=None) at numba/cpython/randomimpl.py:2179-2202

numpy.random.mtrand.normal()

Alias to: numpy.random.normal

• defined by np_gauss_impl0() at numba/cpython/randomimpl.py:285-288

• defined by np_gauss_impl1(loc) at numba/cpython/randomimpl.py:291-294

• defined by np_gauss_impl2(loc, scale) at numba/cpython/randomimpl.py:297-307

• defined by np_gauss_impl3(loc, scale, size) at numba/cpython/randomimpl.py:326-343

numpy.random.mtrand.pareto()

Alias to: numpy.random.pareto

• defined by pareto_impl(alpha) at numba/cpython/randomimpl.py:1044-1052

• defined by pareto_impl(alpha, size) at numba/cpython/randomimpl.py:1055-1068

numpy.random.mtrand.permutation()

Alias to: numpy.random.permutation

• defined by permutation_impl(x) at numba/cpython/randomimpl.py:1867-1881

numpy.random.mtrand.poisson()

Alias to: numpy.random.poisson

• defined by poisson_impl0() at numba/cpython/randomimpl.py:1556-1558

• defined by poisson_impl1(lam) at numba/cpython/randomimpl.py:1561-1624

• defined by poisson_impl2(lam, size) at numba/cpython/randomimpl.py:1627-1642

numpy.random.mtrand.power()

Alias to: numpy.random.power

• defined by power_impl(a) at numba/cpython/randomimpl.py:1645-1654

• defined by power_impl(a, size) at numba/cpython/randomimpl.py:1657-1670

numpy.random.mtrand.rand()

Alias to: numpy.random.rand

• defined by rand(*size) at numba/cpython/randomimpl.py:1887-1899

numpy.random.mtrand.randint()

Alias to: numpy.random.randint

• defined by np_randint_impl_1(high) at numba/cpython/randomimpl.py:565-568

• defined by np_randint_impl_2(low, high) at numba/cpython/randomimpl.py:571-593

• defined by np_randint_impl_3(low, high, size) at numba/cpython/randomimpl.py:596-614

numpy.random.mtrand.randn()

Alias to: numpy.random.randn

• defined by randn(*size) at numba/cpython/randomimpl.py:1902-1914

numpy.random.mtrand.random()

Alias to: numpy.random.random

• defined by random_impl0() at numba/cpython/randomimpl.py:238-249

• defined by random_impl1(size) at numba/cpython/randomimpl.py:252-268

numpy.random.mtrand.random_sample()

Alias to: numpy.random.random_sample

• defined by random_impl0() at numba/cpython/randomimpl.py:238-249

• defined by random_impl1(size) at numba/cpython/randomimpl.py:252-268

numpy.random.mtrand.ranf()

Alias to: numpy.random.ranf

• defined by random_impl0() at numba/cpython/randomimpl.py:238-249

• defined by random_impl1(size) at numba/cpython/randomimpl.py:252-268

numpy.random.mtrand.rayleigh()

Alias to: numpy.random.rayleigh

• defined by rayleigh_impl0() at numba/cpython/randomimpl.py:1673-1675

• defined by rayleigh_impl1(mode) at numba/cpython/randomimpl.py:1678-1681

• defined by rayleigh_impl2(mode, size) at numba/cpython/randomimpl.py:1690-1703

numpy.random.mtrand.sample()

Alias to: numpy.random.sample

• defined by random_impl0() at numba/cpython/randomimpl.py:238-249

• defined by random_impl1(size) at numba/cpython/randomimpl.py:252-268

numpy.random.mtrand.seed()

Alias to: numpy.random.seed

• defined by seed_impl(seed) at numba/cpython/randomimpl.py:206-209

numpy.random.mtrand.shuffle()

Alias to: numpy.random.shuffle

• defined by shuffle_impl(arr) at numba/cpython/randomimpl.py:1862-1864

numpy.random.mtrand.standard_cauchy()

Alias to: numpy.random.standard_cauchy

• defined by cauchy_impl() at numba/cpython/randomimpl.py:1706-1711

• defined by standard_cauchy_impl(size) at numba/cpython/randomimpl.py:1714-1727

numpy.random.mtrand.standard_exponential()

Alias to: numpy.random.standard_exponential

• defined by exponential_impl() at numba/cpython/randomimpl.py:963-968

• defined by standard_exponential_impl(size) at numba/cpython/randomimpl.py:971-985

numpy.random.mtrand.standard_gamma()

Alias to: numpy.random.standard_gamma

• defined by gammavariate_impl(alpha) at numba/cpython/randomimpl.py:774-778

• defined by standard_gamma_impl(alpha, size) at numba/cpython/randomimpl.py:863-876

numpy.random.mtrand.standard_normal()

Alias to: numpy.random.standard_normal

• defined by np_gauss_impl0() at numba/cpython/randomimpl.py:285-288

• defined by standard_normal_impl1(size) at numba/cpython/randomimpl.py:310-323

numpy.random.mtrand.standard_t()

Alias to: numpy.random.standard_t

• defined by standard_t_impl(df) at numba/cpython/randomimpl.py:1730-1739

• defined by standard_t_impl2(df, size) at numba/cpython/randomimpl.py:1742-1755

numpy.random.mtrand.triangular()

Alias to: numpy.random.triangular

• defined by triangular_impl_3(low, mode, high) at numba/cpython/randomimpl.py:731-747

• defined by triangular_impl(low, high, mode, size) at numba/cpython/randomimpl.py:750-764

numpy.random.mtrand.uniform()

Alias to: numpy.random.uniform

• defined by np_uniform_impl0() at numba/cpython/randomimpl.py:622-624

• defined by np_uniform_impl1(low) at numba/cpython/randomimpl.py:633-636

• defined by np_uniform_impl2(low, high) at numba/cpython/randomimpl.py:652-662

• defined by np_uniform_impl3(low, high, size) at numba/cpython/randomimpl.py:677-694

numpy.random.mtrand.vonmises()

Alias to: numpy.random.vonmises

• defined by vonmisesvariate_impl(mu, kappa) at numba/cpython/randomimpl.py:1117-1120

• defined by vonmises_impl(mu, kappa, size) at numba/cpython/randomimpl.py:1167-1180

numpy.random.mtrand.wald()

Alias to: numpy.random.wald

• defined by wald_impl(mean, scale) at numba/cpython/randomimpl.py:1758-1776

• defined by wald_impl2(mean, scale, size) at numba/cpython/randomimpl.py:1779-1792

numpy.random.mtrand.weibull()

Alias to: numpy.random.weibull

• defined by weibull_impl(beta) at numba/cpython/randomimpl.py:1084-1092

• defined by weibull_impl2(beta, size) at numba/cpython/randomimpl.py:1095-1108

numpy.random.mtrand.zipf()

Alias to: numpy.random.zipf

• defined by zipf_impl(a) at numba/cpython/randomimpl.py:1795-1811

• defined by zipf_impl(a, size) at numba/cpython/randomimpl.py:1814-1827

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.