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:3202-3232
- 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:3547-3566
- 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:4241-4293
- numpy.asarray_chkfinite()
defined by
np_asarray_chkfinite(a, dtype=None)
at numba/np/arraymath.py:4404-4426
- 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:4296-4308
- 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:4463-4475
- numpy.bincount()
defined by
np_bincount(a, weights=None, minlength=0)
at numba/np/arraymath.py:3602-3657
- numpy.blackman()
defined by
window_generator.<locals>.window_overload(M)
at numba/np/arraymath.py:4463-4475
- 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:4217-4238
- 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:4172-4214
- numpy.count_nonzero()
defined by
np_count_nonzero(arr, axis=None)
at numba/np/arraymath.py:3440-3454
- 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:4648-4670
- 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:3461-3505
- 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:3508-3544
- numpy.digitize()
defined by
np_digitize(x, bins, right=False)
at numba/np/arraymath.py:3763-3889
- numpy.dot()
defined by
dot_2(left, right)
at numba/np/linalg.py:525-530defined 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:4311-4334
- 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:4463-4475
- numpy.hanning()
defined by
window_generator.<locals>.window_overload(M)
at numba/np/arraymath.py:4463-4475
- numpy.histogram()
defined by
np_histogram(a, bins=10, range=None)
at numba/np/arraymath.py:3895-3975
- 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:3415-3420
- 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:3569-3589
- 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:4581-4600
- 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:3407-3412
- 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:3716-3760
- numpy.select()
defined by
np_select(condlist, choicelist, default=0)
at numba/np/arraymath.py:4337-4385
- 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:4388-4401
- 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:3342-3350defined by
ov_np_where_x_y(condition, x, y)
at numba/np/arraymath.py:3353-3404
- 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:3547-3566
- numpy.core.asarray()
Alias to:
numpy.asarray
defined by
np_asarray(a, dtype=None)
at numba/np/arraymath.py:4241-4293
- 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:4217-4238
- numpy.core.correlate()
Alias to:
numpy.correlate
defined by
_np_correlate(a, v)
at numba/np/arraymath.py:4172-4214
- numpy.core.count_nonzero()
Alias to:
numpy.count_nonzero
defined by
np_count_nonzero(arr, axis=None)
at numba/np/arraymath.py:3440-3454
- numpy.core.cross()
Alias to:
numpy.cross
defined by
np_cross(a, b)
at numba/np/arraymath.py:4648-4670
- 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:525-530defined 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:3716-3760
- 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:3342-3350defined by
ov_np_where_x_y(condition, x, y)
at numba/np/arraymath.py:3353-3404
- 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:4241-4293
- 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:4241-4293
- 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:3716-3760
- 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:4241-4293
- 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:3602-3657
- 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:525-530defined 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:3342-3350defined by
ov_np_where_x_y(condition, x, y)
at numba/np/arraymath.py:3353-3404
- 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:3547-3566
- numpy.core.numeric.asarray()
Alias to:
numpy.asarray
defined by
np_asarray(a, dtype=None)
at numba/np/arraymath.py:4241-4293
- 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:4217-4238
- numpy.core.numeric.correlate()
Alias to:
numpy.correlate
defined by
_np_correlate(a, v)
at numba/np/arraymath.py:4172-4214
- numpy.core.numeric.count_nonzero()
Alias to:
numpy.count_nonzero
defined by
np_count_nonzero(arr, axis=None)
at numba/np/arraymath.py:3440-3454
- numpy.core.numeric.cross()
Alias to:
numpy.cross
defined by
np_cross(a, b)
at numba/np/arraymath.py:4648-4670
- 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:525-530defined 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:3716-3760
- 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:3342-3350defined by
ov_np_where_x_y(condition, x, y)
at numba/np/arraymath.py:3353-3404
- 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:4241-4293
- 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:4241-4293
- 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:4241-4293
- 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:3202-3232
- 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:4404-4426
- numpy.lib.asfarray()
Alias to:
numpy.asfarray
defined by
np_asfarray(a, dtype=<class 'numpy.float64'>)
at numba/np/arraymath.py:4296-4308
- 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:4463-4475
- numpy.lib.bincount()
Alias to:
numpy.bincount
defined by
np_bincount(a, weights=None, minlength=0)
at numba/np/arraymath.py:3602-3657
- numpy.lib.blackman()
Alias to:
numpy.blackman
defined by
window_generator.<locals>.window_overload(M)
at numba/np/arraymath.py:4463-4475
- 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:3461-3505
- 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:3508-3544
- numpy.lib.digitize()
Alias to:
numpy.digitize
defined by
np_digitize(x, bins, right=False)
at numba/np/arraymath.py:3763-3889
- 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:4311-4334
- 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:4463-4475
- numpy.lib.hanning()
Alias to:
numpy.hanning
defined by
window_generator.<locals>.window_overload(M)
at numba/np/arraymath.py:4463-4475
- numpy.lib.histogram()
Alias to:
numpy.histogram
defined by
np_histogram(a, bins=10, range=None)
at numba/np/arraymath.py:3895-3975
- numpy.lib.imag()
Alias to:
numpy.imag
defined by
np_imag(a)
at numba/np/arraymath.py:3415-3420
- 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:3569-3589
- 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:4581-4600
- 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:3407-3412
- 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:4337-4385
- 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:4388-4401
- 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:3569-3589
- numpy.lib.arraysetops.union1d()
Alias to:
numpy.union1d
defined by
np_union1d(arr1, arr2)
at numba/np/arraymath.py:4388-4401
- 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:0-34defined by
unicode_repeat(a, b)
at numba/cpython/unicode.py:1892-1901defined by
charseq_repeat(a, b)
at numba/cpython/charseq.py:399-416defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
- numpy.lib.arrayterator.reduce()
Alias to:
numpy.distutils.misc_util.reduce
defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 0 unsupported functions.
supported = 2 / 2 = 100.00%
numpy.lib.format
This module is not supported.
numpy.lib.function_base
- numpy.lib.function_base.angle()
Alias to:
numpy.angle
defined by
ov_np_angle(z, deg=False)
at numba/np/arraymath.py:3202-3232
- 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:4241-4293
- numpy.lib.function_base.asarray_chkfinite()
Alias to:
numpy.asarray_chkfinite
defined by
np_asarray_chkfinite(a, dtype=None)
at numba/np/arraymath.py:4404-4426
- 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:4463-4475
- numpy.lib.function_base.bincount()
Alias to:
numpy.bincount
defined by
np_bincount(a, weights=None, minlength=0)
at numba/np/arraymath.py:3602-3657
- numpy.lib.function_base.blackman()
Alias to:
numpy.blackman
defined by
window_generator.<locals>.window_overload(M)
at numba/np/arraymath.py:4463-4475
- 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:3461-3505
- 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:3508-3544
- numpy.lib.function_base.digitize()
Alias to:
numpy.digitize
defined by
np_digitize(x, bins, right=False)
at numba/np/arraymath.py:3763-3889
- numpy.lib.function_base.dot()
Alias to:
numpy.dot
defined by
dot_2(left, right)
at numba/np/linalg.py:525-530defined 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:4311-4334
- 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:4463-4475
- numpy.lib.function_base.hanning()
Alias to:
numpy.hanning
defined by
window_generator.<locals>.window_overload(M)
at numba/np/arraymath.py:4463-4475
- numpy.lib.function_base.histogram()
Alias to:
numpy.histogram
defined by
np_histogram(a, bins=10, range=None)
at numba/np/arraymath.py:3895-3975
- 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:4581-4600
- 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:4337-4385
- 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:3342-3350defined by
ov_np_where_x_y(condition, x, y)
at numba/np/arraymath.py:3353-3404
- 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:3895-3975
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:4241-4293
- 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:3508-3544
- 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:525-530defined 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:3415-3420
- 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:3407-3412
- 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:4241-4293
- 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:4241-4293
- 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:4241-4293
- 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:3342-3350defined by
ov_np_where_x_y(condition, x, y)
at numba/np/arraymath.py:3353-3404
- 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:4241-4293
- numpy.lib.type_check.asfarray()
Alias to:
numpy.asfarray
defined by
np_asfarray(a, dtype=<class 'numpy.float64'>)
at numba/np/arraymath.py:4296-4308
- numpy.lib.type_check.imag()
Alias to:
numpy.imag
defined by
np_imag(a)
at numba/np/arraymath.py:3415-3420
- 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:3407-3412
- 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:4241-4293
- 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:4241-4293
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:4241-4293
- 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:3440-3454
- 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:525-530defined 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:3202-3232
- 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:3547-3566
- 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:4241-4293
- numpy.matlib.asarray_chkfinite()
Alias to:
numpy.asarray_chkfinite
defined by
np_asarray_chkfinite(a, dtype=None)
at numba/np/arraymath.py:4404-4426
- 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:4296-4308
- 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:4463-4475
- numpy.matlib.bincount()
Alias to:
numpy.bincount
defined by
np_bincount(a, weights=None, minlength=0)
at numba/np/arraymath.py:3602-3657
- numpy.matlib.blackman()
Alias to:
numpy.blackman
defined by
window_generator.<locals>.window_overload(M)
at numba/np/arraymath.py:4463-4475
- 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:4217-4238
- 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:4172-4214
- numpy.matlib.count_nonzero()
Alias to:
numpy.count_nonzero
defined by
np_count_nonzero(arr, axis=None)
at numba/np/arraymath.py:3440-3454
- 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:4648-4670
- 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:3461-3505
- 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:3508-3544
- numpy.matlib.digitize()
Alias to:
numpy.digitize
defined by
np_digitize(x, bins, right=False)
at numba/np/arraymath.py:3763-3889
- numpy.matlib.dot()
Alias to:
numpy.dot
defined by
dot_2(left, right)
at numba/np/linalg.py:525-530defined 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:4311-4334
- 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:4463-4475
- numpy.matlib.hanning()
Alias to:
numpy.hanning
defined by
window_generator.<locals>.window_overload(M)
at numba/np/arraymath.py:4463-4475
- numpy.matlib.histogram()
Alias to:
numpy.histogram
defined by
np_histogram(a, bins=10, range=None)
at numba/np/arraymath.py:3895-3975
- 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:3415-3420
- 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:3569-3589
- 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:4581-4600
- 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:3407-3412
- 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:3716-3760
- numpy.matlib.select()
Alias to:
numpy.select
defined by
np_select(condlist, choicelist, default=0)
at numba/np/arraymath.py:4337-4385
- 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:4388-4401
- 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:3342-3350defined by
ov_np_where_x_y(condition, x, y)
at numba/np/arraymath.py:3353-3404
- 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:886-890defined 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:1183-1236defined 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:1255-1261defined 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:2088-2095defined 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:939-944defined by
exponential_impl(scale, size)
at numba/cpython/randomimpl.py:947-960defined by
exponential_impl()
at numba/cpython/randomimpl.py:963-968
- numpy.random.f()
defined by
f_impl(num, denom)
at numba/cpython/randomimpl.py:1280-1288defined 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:774-778defined by
gammavariate_impl(alpha, beta)
at numba/cpython/randomimpl.py:781-785defined 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:1309-1330defined 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:1349-1357defined 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:1376-1397defined 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:1417-1419defined by
laplace_impl1(loc)
at numba/cpython/randomimpl.py:1422-1425defined by
laplace_impl2(loc, scale)
at numba/cpython/randomimpl.py:1428-1432defined 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:1459-1461defined by
logistic_impl1(loc)
at numba/cpython/randomimpl.py:1464-1467defined by
logistic_impl2(loc, scale)
at numba/cpython/randomimpl.py:1470-1474defined 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:988-990defined by
np_log_normal_impl1(mu)
at numba/cpython/randomimpl.py:993-996defined by
np_log_normal_impl2(mu, sigma)
at numba/cpython/randomimpl.py:999-1003defined 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:1519-1522defined 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:2168-2176defined 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:285-288defined by
np_gauss_impl1(loc)
at numba/cpython/randomimpl.py:291-294defined by
np_gauss_impl2(loc, scale)
at numba/cpython/randomimpl.py:297-307defined 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:1044-1052defined 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:1556-1558defined by
poisson_impl1(lam)
at numba/cpython/randomimpl.py:1561-1624defined 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:1645-1654defined 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:565-568defined by
np_randint_impl_2(low, high)
at numba/cpython/randomimpl.py:571-593defined 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:238-249defined by
random_impl1(size)
at numba/cpython/randomimpl.py:252-268
- numpy.random.random_sample()
defined by
random_impl0()
at numba/cpython/randomimpl.py:238-249defined by
random_impl1(size)
at numba/cpython/randomimpl.py:252-268
- numpy.random.ranf()
defined by
random_impl0()
at numba/cpython/randomimpl.py:238-249defined by
random_impl1(size)
at numba/cpython/randomimpl.py:252-268
- numpy.random.rayleigh()
defined by
rayleigh_impl0()
at numba/cpython/randomimpl.py:1673-1675defined by
rayleigh_impl1(mode)
at numba/cpython/randomimpl.py:1678-1681defined by
rayleigh_impl2(mode, size)
at numba/cpython/randomimpl.py:1690-1703
- numpy.random.sample()
defined by
random_impl0()
at numba/cpython/randomimpl.py:238-249defined 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:1706-1711defined 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:963-968defined 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:774-778defined 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:285-288defined 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:1730-1739defined 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:731-747defined 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:622-624defined by
np_uniform_impl1(low)
at numba/cpython/randomimpl.py:633-636defined by
np_uniform_impl2(low, high)
at numba/cpython/randomimpl.py:652-662defined 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:1117-1120defined 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:1758-1776defined 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:1084-1092defined 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:1795-1811defined 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:886-890defined 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:1183-1236defined 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:1255-1261defined 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:2088-2095defined 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:939-944defined by
exponential_impl(scale, size)
at numba/cpython/randomimpl.py:947-960defined 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:1280-1288defined 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:774-778defined by
gammavariate_impl(alpha, beta)
at numba/cpython/randomimpl.py:781-785defined 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:1309-1330defined 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:1349-1357defined 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:1376-1397defined 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:1417-1419defined by
laplace_impl1(loc)
at numba/cpython/randomimpl.py:1422-1425defined by
laplace_impl2(loc, scale)
at numba/cpython/randomimpl.py:1428-1432defined 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:1459-1461defined by
logistic_impl1(loc)
at numba/cpython/randomimpl.py:1464-1467defined by
logistic_impl2(loc, scale)
at numba/cpython/randomimpl.py:1470-1474defined 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:988-990defined by
np_log_normal_impl1(mu)
at numba/cpython/randomimpl.py:993-996defined by
np_log_normal_impl2(mu, sigma)
at numba/cpython/randomimpl.py:999-1003defined 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:1519-1522defined 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:2168-2176defined 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:285-288defined by
np_gauss_impl1(loc)
at numba/cpython/randomimpl.py:291-294defined by
np_gauss_impl2(loc, scale)
at numba/cpython/randomimpl.py:297-307defined 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:1044-1052defined 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:1556-1558defined by
poisson_impl1(lam)
at numba/cpython/randomimpl.py:1561-1624defined 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:1645-1654defined 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:565-568defined by
np_randint_impl_2(low, high)
at numba/cpython/randomimpl.py:571-593defined 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:238-249defined 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:238-249defined 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:238-249defined 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:1673-1675defined by
rayleigh_impl1(mode)
at numba/cpython/randomimpl.py:1678-1681defined 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:238-249defined 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:1706-1711defined 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:963-968defined 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:774-778defined 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:285-288defined 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:1730-1739defined 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:731-747defined 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:622-624defined by
np_uniform_impl1(low)
at numba/cpython/randomimpl.py:633-636defined by
np_uniform_impl2(low, high)
at numba/cpython/randomimpl.py:652-662defined 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:1117-1120defined 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:1758-1776defined 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:1084-1092defined 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:1795-1811defined 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.