Listings for numpy¶
numpy¶
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numpy.all()¶ defined by
np_all(a)at numba/np/arraymath.py:777-786
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numpy.amax()¶ defined by
<class 'abc.Numpy_redirect_max'>
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numpy.amin()¶ defined by
<class 'abc.Numpy_redirect_min'>
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numpy.angle()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.any()¶ defined by
np_any(a)at numba/np/arraymath.py:789-798
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numpy.append()¶ defined by
np_append(arr, values, axis=None)at numba/np/arrayobj.py:1709-1732
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numpy.arange()¶ defined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
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numpy.argmax()¶ defined by
<class 'abc.Numpy_redirect_argmax'>
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numpy.argmin()¶ defined by
<class 'abc.Numpy_redirect_argmin'>
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numpy.argsort()¶ defined by
<class 'abc.Numpy_redirect_argsort'>
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numpy.argwhere()¶ defined by
np_argwhere(a)at numba/np/arraymath.py:2791-2823
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numpy.around()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.array()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.array_equal()¶ defined by
np_array_equal(a, b)at numba/np/arraymath.py:3429-3448
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numpy.array_split()¶ defined by
np_array_split(ary, indices_or_sections, axis=0)at numba/np/arrayobj.py:4976-5034
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numpy.asarray()¶ defined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
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numpy.asarray_chkfinite()¶ defined by
np_asarray_chkfinite(a, dtype=None)at numba/np/arraymath.py:4181-4203
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numpy.ascontiguousarray()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.asfarray()¶ defined by
np_asfarray(a, dtype=<class 'numpy.float64'>)at numba/np/arraymath.py:4089-4101
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numpy.asfortranarray()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.atleast_1d()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.atleast_2d()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.atleast_3d()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.bartlett()¶ defined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
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numpy.bincount()¶ defined by
np_bincount(a, weights=None, minlength=0)at numba/np/arraymath.py:3461-3516
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numpy.blackman()¶ defined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
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numpy.column_stack()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.concatenate()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.convolve()¶ defined by
np_convolve(a, v)at numba/np/arraymath.py:4010-4031
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numpy.copy()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.corrcoef()¶ defined by
np_corrcoef(x, y=None, rowvar=True)at numba/np/arraymath.py:2754-2784
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numpy.correlate()¶ defined by
_np_correlate(a, v)at numba/np/arraymath.py:3962-4007
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numpy.count_nonzero()¶ defined by
np_count_nonzero(arr, axis=None)at numba/np/arraymath.py:3322-3336
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numpy.cov()¶ defined by
np_cov(m, y=None, rowvar=True, bias=False, ddof=None)at numba/np/arraymath.py:2695-2751
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numpy.cross()¶ defined by
np_cross(a, b)at numba/np/arraymath.py:4420-4442
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numpy.cumprod()¶ defined by
<class 'abc.Numpy_redirect_cumprod'>
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numpy.cumsum()¶ defined by
<class 'abc.Numpy_redirect_cumsum'>
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numpy.delete()¶ defined by
np_delete(arr, obj)at numba/np/arraymath.py:3343-3387
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numpy.diag()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.diff()¶ defined by
np_diff_impl(a, n=1)at numba/np/arraymath.py:3390-3426
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numpy.digitize()¶ defined by
np_digitize(x, bins, right=False)at numba/np/arraymath.py:3584-3710
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numpy.dot()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.dstack()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.ediff1d()¶ defined by
np_ediff1d(ary, to_end=None, to_begin=None)at numba/np/arraymath.py:1743-1798
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numpy.empty()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.empty_like()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.expand_dims()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.extract()¶ defined by
np_extract(condition, arr)at numba/np/arraymath.py:4104-4127
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numpy.eye()¶ defined by
numpy_eye(N, M=None, k=0, dtype=<class 'float'>)at numba/np/arrayobj.py:3688-3711
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numpy.fill_diagonal()¶ defined by
np_fill_diagonal(a, val, wrap=False)at numba/np/arraymath.py:2928-2958
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numpy.flatnonzero()¶ defined by
np_flatnonzero(a)at numba/np/arraymath.py:2826-2841
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numpy.flip()¶ defined by
np_flip(a)at numba/np/arrayobj.py:4962-4973
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numpy.fliplr()¶ defined by
np_flip_lr(a)at numba/np/arrayobj.py:4900-4914
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numpy.flipud()¶ defined by
np_flip_ud(a)at numba/np/arrayobj.py:4917-4931
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numpy.frombuffer()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.full()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.full_like()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.hamming()¶ defined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
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numpy.hanning()¶ defined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
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numpy.histogram()¶ defined by
np_histogram(a, bins=10, range=None)at numba/np/arraymath.py:3716-3796
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numpy.hstack()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.identity()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.imag()¶ defined by
np_imag(a)at numba/np/arraymath.py:3297-3302
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numpy.interp()¶ defined by
np_interp(x, xp, fp)at numba/np/arraymath.py:2446-2507
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numpy.kaiser()¶ defined by
np_kaiser(M, beta)at numba/np/arraymath.py:4357-4376
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numpy.kron()¶ defined by
kron_impl(a, b)at numba/np/linalg.py:2710-2764
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numpy.linspace()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.max()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
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numpy.mean()¶ defined by
<class 'abc.Numpy_redirect_mean'>
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numpy.median()¶ defined by
np_median(a)at numba/np/arraymath.py:1256-1268
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numpy.min()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
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numpy.nancumprod()¶ defined by
np_nancumprod(a)at numba/np/arraymath.py:1001-1023
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numpy.nancumsum()¶ defined by
np_nancumsum(a)at numba/np/arraymath.py:1026-1048
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numpy.nanmax()¶ defined by
np_nanmax(a)at numba/np/arraymath.py:892-898
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numpy.nanmean()¶ defined by
np_nanmean(a)at numba/np/arraymath.py:901-918
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numpy.nanmedian()¶ defined by
np_nanmedian(a)at numba/np/arraymath.py:1440-1462
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numpy.nanmin()¶ defined by
np_nanmin(a)at numba/np/arraymath.py:883-889
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numpy.nanpercentile()¶ defined by
np_nanpercentile(a, q)at numba/np/arraymath.py:1419-1423
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numpy.nanprod()¶ defined by
np_nanprod(a)at numba/np/arraymath.py:979-998
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numpy.nanquantile()¶ defined by
np_nanquantile(a, q)at numba/np/arraymath.py:1433-1437
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numpy.nanstd()¶ defined by
np_nanstd(a)at numba/np/arraymath.py:946-954
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numpy.nansum()¶ defined by
np_nansum(a)at numba/np/arraymath.py:957-976
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numpy.nanvar()¶ defined by
np_nanvar(a)at numba/np/arraymath.py:921-943
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numpy.nonzero()¶ defined by
<class 'abc.Numpy_redirect_nonzero'>
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numpy.ones()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.ones_like()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.outer()¶ defined by
outer_impl(a, b, out=None)at numba/np/linalg.py:2633-2644
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numpy.partition()¶ defined by
np_partition(a, kth)at numba/np/arraymath.py:1521-1543
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numpy.percentile()¶ defined by
np_percentile(a, q)at numba/np/arraymath.py:1412-1416
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numpy.prod()¶ defined by
<class 'abc.Numpy_redirect_prod'>
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numpy.ptp()¶ defined by
np_ptp(a)at numba/np/arraymath.py:1110-1136
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numpy.quantile()¶ defined by
np_quantile(a, q)at numba/np/arraymath.py:1426-1430
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numpy.ravel()¶ defined by
<class 'abc.Numpy_redirect_ravel'>
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numpy.real()¶ defined by
np_real(a)at numba/np/arraymath.py:3289-3294
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numpy.repeat()¶ defined by
np_repeat(a, repeats)at numba/np/arrayobj.py:1925-1967
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numpy.reshape()¶ defined by
np_reshape(a, shape)at numba/np/arrayobj.py:1702-1706
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numpy.roll()¶ defined by
np_roll(a, shift)at numba/np/arraymath.py:1933-1953
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numpy.roots()¶ defined by
roots_impl(p)at numba/np/polynomial.py:14-59
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numpy.round()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.round_()¶ Alias to:
numpy.rounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.row_stack()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.searchsorted()¶ defined by
searchsorted(a, v, side='left')at numba/np/arraymath.py:3549-3581
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numpy.select()¶ defined by
np_select(condlist, choicelist, default=0)at numba/np/arraymath.py:4130-4178
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numpy.shape()¶ defined by
np_shape(a)at numba/np/arrayobj.py:1903-1910
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numpy.sinc()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.sort()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.split()¶ defined by
np_split(ary, indices_or_sections, axis=0)at numba/np/arrayobj.py:5037-5061
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numpy.stack()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.std()¶ defined by
<class 'abc.Numpy_redirect_std'>
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numpy.sum()¶ defined by
<class 'abc.Numpy_redirect_sum'>
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numpy.take()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.trace()¶ defined by
matrix_trace_impl(a, offset=0)at numba/np/linalg.py:2567-2595
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numpy.transpose()¶ defined by
numpy_transpose(a, axes=None)at numba/np/arrayobj.py:1530-1542
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numpy.trapz()¶ defined by
np_trapz(y, x=None, dx=1.0)at numba/np/arraymath.py:1835-1854
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numpy.tri()¶ defined by
np_tri(N, M=None, k=0)at numba/np/arraymath.py:1562-1573
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numpy.tril()¶ defined by
my_tril(m, k=0)at numba/np/arraymath.py:1599-1623
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numpy.tril_indices()¶ defined by
np_tril_indices(n, k=0, m=None)at numba/np/arraymath.py:1626-1637
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numpy.tril_indices_from()¶ defined by
np_tril_indices_from(arr, k=0)at numba/np/arraymath.py:1640-1651
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numpy.triu()¶ defined by
my_triu(m, k=0)at numba/np/arraymath.py:1660-1683
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numpy.triu_indices()¶ defined by
np_triu_indices(n, k=0, m=None)at numba/np/arraymath.py:1686-1697
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numpy.triu_indices_from()¶ defined by
np_triu_indices_from(arr, k=0)at numba/np/arraymath.py:1700-1711
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numpy.unique()¶ defined by
np_unique(a)at numba/np/arrayobj.py:1915-1922
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numpy.vander()¶ defined by
np_vander(x, N=None, increasing=False)at numba/np/arraymath.py:1893-1930
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numpy.var()¶ defined by
<class 'abc.Numpy_redirect_var'>
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numpy.vdot()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.vstack()¶ Alias to:
numpy.row_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.where()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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numpy.zeros()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.zeros_like()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 190 unsupported functions.
supported = 129 / 319 = 40.44%
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¶
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numpy.core.all()¶ Alias to:
numpy.alldefined by
np_all(a)at numba/np/arraymath.py:777-786
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numpy.core.amax()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
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numpy.core.amin()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
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numpy.core.any()¶ Alias to:
numpy.anydefined by
np_any(a)at numba/np/arraymath.py:789-798
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numpy.core.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
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numpy.core.argmax()¶ Alias to:
numpy.argmaxdefined by
<class 'abc.Numpy_redirect_argmax'>
-
numpy.core.argmin()¶ Alias to:
numpy.argmindefined by
<class 'abc.Numpy_redirect_argmin'>
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numpy.core.argsort()¶ Alias to:
numpy.argsortdefined by
<class 'abc.Numpy_redirect_argsort'>
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numpy.core.argwhere()¶ Alias to:
numpy.argwheredefined by
np_argwhere(a)at numba/np/arraymath.py:2791-2823
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numpy.core.around()¶ Alias to:
numpy.arounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.array_equal()¶ Alias to:
numpy.array_equaldefined by
np_array_equal(a, b)at numba/np/arraymath.py:3429-3448
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numpy.core.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
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numpy.core.ascontiguousarray()¶ Alias to:
numpy.ascontiguousarraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.asfortranarray()¶ Alias to:
numpy.asfortranarraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.atleast_1d()¶ Alias to:
numpy.atleast_1ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.atleast_2d()¶ Alias to:
numpy.atleast_2ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.atleast_3d()¶ Alias to:
numpy.atleast_3ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.convolve()¶ Alias to:
numpy.convolvedefined by
np_convolve(a, v)at numba/np/arraymath.py:4010-4031
-
numpy.core.correlate()¶ Alias to:
numpy.correlatedefined by
_np_correlate(a, v)at numba/np/arraymath.py:3962-4007
-
numpy.core.count_nonzero()¶ Alias to:
numpy.count_nonzerodefined by
np_count_nonzero(arr, axis=None)at numba/np/arraymath.py:3322-3336
-
numpy.core.cross()¶ Alias to:
numpy.crossdefined by
np_cross(a, b)at numba/np/arraymath.py:4420-4442
-
numpy.core.cumprod()¶ Alias to:
numpy.cumproddefined by
<class 'abc.Numpy_redirect_cumprod'>
-
numpy.core.cumsum()¶ Alias to:
numpy.cumsumdefined by
<class 'abc.Numpy_redirect_cumsum'>
-
numpy.core.dot()¶ Alias to:
numpy.dotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.empty_like()¶ Alias to:
numpy.empty_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.flatnonzero()¶ Alias to:
numpy.flatnonzerodefined by
np_flatnonzero(a)at numba/np/arraymath.py:2826-2841
-
numpy.core.frombuffer()¶ Alias to:
numpy.frombufferdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.full()¶ Alias to:
numpy.fulldefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.full_like()¶ Alias to:
numpy.full_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.hstack()¶ Alias to:
numpy.hstackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.identity()¶ Alias to:
numpy.identitydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.linspace()¶ Alias to:
numpy.linspacedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.max()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
-
numpy.core.mean()¶ Alias to:
numpy.meandefined by
<class 'abc.Numpy_redirect_mean'>
-
numpy.core.min()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
-
numpy.core.nonzero()¶ Alias to:
numpy.nonzerodefined by
<class 'abc.Numpy_redirect_nonzero'>
-
numpy.core.ones()¶ Alias to:
numpy.onesdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.ones_like()¶ Alias to:
numpy.ones_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.outer()¶ Alias to:
numpy.outerdefined by
outer_impl(a, b, out=None)at numba/np/linalg.py:2633-2644
-
numpy.core.partition()¶ Alias to:
numpy.partitiondefined by
np_partition(a, kth)at numba/np/arraymath.py:1521-1543
-
numpy.core.prod()¶ Alias to:
numpy.proddefined by
<class 'abc.Numpy_redirect_prod'>
-
numpy.core.ptp()¶ Alias to:
numpy.ptpdefined by
np_ptp(a)at numba/np/arraymath.py:1110-1136
-
numpy.core.ravel()¶ Alias to:
numpy.raveldefined by
<class 'abc.Numpy_redirect_ravel'>
-
numpy.core.repeat()¶ Alias to:
numpy.repeatdefined by
np_repeat(a, repeats)at numba/np/arrayobj.py:1925-1967
-
numpy.core.reshape()¶ Alias to:
numpy.reshapedefined by
np_reshape(a, shape)at numba/np/arrayobj.py:1702-1706
-
numpy.core.roll()¶ Alias to:
numpy.rolldefined by
np_roll(a, shift)at numba/np/arraymath.py:1933-1953
-
numpy.core.round()¶ Alias to:
numpy.rounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.round_()¶ Alias to:
numpy.rounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.searchsorted()¶ Alias to:
numpy.searchsorteddefined by
searchsorted(a, v, side='left')at numba/np/arraymath.py:3549-3581
-
numpy.core.shape()¶ Alias to:
numpy.shapedefined by
np_shape(a)at numba/np/arrayobj.py:1903-1910
-
numpy.core.sort()¶ Alias to:
numpy.sortdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.stack()¶ Alias to:
numpy.stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.std()¶ Alias to:
numpy.stddefined by
<class 'abc.Numpy_redirect_std'>
-
numpy.core.sum()¶ Alias to:
numpy.sumdefined by
<class 'abc.Numpy_redirect_sum'>
-
numpy.core.take()¶ Alias to:
numpy.takedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.trace()¶ Alias to:
numpy.tracedefined by
matrix_trace_impl(a, offset=0)at numba/np/linalg.py:2567-2595
-
numpy.core.transpose()¶ Alias to:
numpy.transposedefined by
numpy_transpose(a, axes=None)at numba/np/arrayobj.py:1530-1542
-
numpy.core.var()¶ Alias to:
numpy.vardefined by
<class 'abc.Numpy_redirect_var'>
-
numpy.core.vdot()¶ Alias to:
numpy.vdotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.vstack()¶ Alias to:
numpy.row_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.where()¶ Alias to:
numpy.wheredefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.zeros_like()¶ Alias to:
numpy.zeros_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 81 unsupported functions.
supported = 66 / 147 = 44.90%
numpy.core.arrayprint¶
-
numpy.core.arrayprint.any()¶ Alias to:
numpy.anydefined by
np_any(a)at numba/np/arraymath.py:789-798
-
numpy.core.arrayprint.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.arrayprint.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.core.arrayprint.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 21 unsupported functions.
supported = 4 / 25 = 16.00%
numpy.core.defchararray¶
-
numpy.core.defchararray.narray()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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.alldefined by
np_all(a)at numba/np/arraymath.py:777-786
-
numpy.core.fromnumeric.amax()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
-
numpy.core.fromnumeric.amin()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
-
numpy.core.fromnumeric.any()¶ Alias to:
numpy.anydefined by
np_any(a)at numba/np/arraymath.py:789-798
-
numpy.core.fromnumeric.argmax()¶ Alias to:
numpy.argmaxdefined by
<class 'abc.Numpy_redirect_argmax'>
-
numpy.core.fromnumeric.argmin()¶ Alias to:
numpy.argmindefined by
<class 'abc.Numpy_redirect_argmin'>
-
numpy.core.fromnumeric.argsort()¶ Alias to:
numpy.argsortdefined by
<class 'abc.Numpy_redirect_argsort'>
-
numpy.core.fromnumeric.around()¶ Alias to:
numpy.arounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.fromnumeric.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.fromnumeric.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.core.fromnumeric.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.fromnumeric.cumprod()¶ Alias to:
numpy.cumproddefined by
<class 'abc.Numpy_redirect_cumprod'>
-
numpy.core.fromnumeric.cumsum()¶ Alias to:
numpy.cumsumdefined by
<class 'abc.Numpy_redirect_cumsum'>
-
numpy.core.fromnumeric.mean()¶ Alias to:
numpy.meandefined by
<class 'abc.Numpy_redirect_mean'>
-
numpy.core.fromnumeric.nonzero()¶ Alias to:
numpy.nonzerodefined by
<class 'abc.Numpy_redirect_nonzero'>
-
numpy.core.fromnumeric.partition()¶ Alias to:
numpy.partitiondefined by
np_partition(a, kth)at numba/np/arraymath.py:1521-1543
-
numpy.core.fromnumeric.prod()¶ Alias to:
numpy.proddefined by
<class 'abc.Numpy_redirect_prod'>
-
numpy.core.fromnumeric.ptp()¶ Alias to:
numpy.ptpdefined by
np_ptp(a)at numba/np/arraymath.py:1110-1136
-
numpy.core.fromnumeric.ravel()¶ Alias to:
numpy.raveldefined by
<class 'abc.Numpy_redirect_ravel'>
-
numpy.core.fromnumeric.repeat()¶ Alias to:
numpy.repeatdefined by
np_repeat(a, repeats)at numba/np/arrayobj.py:1925-1967
-
numpy.core.fromnumeric.reshape()¶ Alias to:
numpy.reshapedefined by
np_reshape(a, shape)at numba/np/arrayobj.py:1702-1706
-
numpy.core.fromnumeric.round_()¶ Alias to:
numpy.rounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.fromnumeric.searchsorted()¶ Alias to:
numpy.searchsorteddefined by
searchsorted(a, v, side='left')at numba/np/arraymath.py:3549-3581
-
numpy.core.fromnumeric.shape()¶ Alias to:
numpy.shapedefined by
np_shape(a)at numba/np/arrayobj.py:1903-1910
-
numpy.core.fromnumeric.sort()¶ Alias to:
numpy.sortdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.fromnumeric.std()¶ Alias to:
numpy.stddefined by
<class 'abc.Numpy_redirect_std'>
-
numpy.core.fromnumeric.sum()¶ Alias to:
numpy.sumdefined by
<class 'abc.Numpy_redirect_sum'>
-
numpy.core.fromnumeric.take()¶ Alias to:
numpy.takedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.fromnumeric.trace()¶ Alias to:
numpy.tracedefined by
matrix_trace_impl(a, offset=0)at numba/np/linalg.py:2567-2595
-
numpy.core.fromnumeric.transpose()¶ Alias to:
numpy.transposedefined by
numpy_transpose(a, axes=None)at numba/np/arrayobj.py:1530-1542
-
numpy.core.fromnumeric.var()¶ Alias to:
numpy.vardefined by
<class 'abc.Numpy_redirect_var'>
Not showing 17 unsupported functions.
supported = 31 / 48 = 64.58%
numpy.core.function_base¶
-
numpy.core.function_base.linspace()¶ Alias to:
numpy.linspacedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 7 unsupported functions.
supported = 1 / 8 = 12.50%
numpy.core.getlimits¶
-
numpy.core.getlimits.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 1 unsupported functions.
supported = 1 / 2 = 50.00%
numpy.core.machar¶
-
numpy.core.machar.any()¶ Alias to:
numpy.anydefined by
np_any(a)at numba/np/arraymath.py:789-798
Not showing 1 unsupported functions.
supported = 1 / 2 = 50.00%
numpy.core.multiarray¶
-
numpy.core.multiarray.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.core.multiarray.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.multiarray.bincount()¶ Alias to:
numpy.bincountdefined by
np_bincount(a, weights=None, minlength=0)at numba/np/arraymath.py:3461-3516
-
numpy.core.multiarray.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.multiarray.dot()¶ Alias to:
numpy.dotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.multiarray.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.multiarray.empty_like()¶ Alias to:
numpy.empty_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.multiarray.frombuffer()¶ Alias to:
numpy.frombufferdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.multiarray.vdot()¶ Alias to:
numpy.vdotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.multiarray.where()¶ Alias to:
numpy.wheredefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.multiarray.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 46 unsupported functions.
supported = 11 / 57 = 19.30%
numpy.core.numeric¶
-
numpy.core.numeric.all()¶ Alias to:
numpy.alldefined by
np_all(a)at numba/np/arraymath.py:777-786
-
numpy.core.numeric.amax()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
-
numpy.core.numeric.amin()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
-
numpy.core.numeric.any()¶ Alias to:
numpy.anydefined by
np_any(a)at numba/np/arraymath.py:789-798
-
numpy.core.numeric.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.core.numeric.argmax()¶ Alias to:
numpy.argmaxdefined by
<class 'abc.Numpy_redirect_argmax'>
-
numpy.core.numeric.argmin()¶ Alias to:
numpy.argmindefined by
<class 'abc.Numpy_redirect_argmin'>
-
numpy.core.numeric.argsort()¶ Alias to:
numpy.argsortdefined by
<class 'abc.Numpy_redirect_argsort'>
-
numpy.core.numeric.argwhere()¶ Alias to:
numpy.argwheredefined by
np_argwhere(a)at numba/np/arraymath.py:2791-2823
-
numpy.core.numeric.around()¶ Alias to:
numpy.arounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.array_equal()¶ Alias to:
numpy.array_equaldefined by
np_array_equal(a, b)at numba/np/arraymath.py:3429-3448
-
numpy.core.numeric.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.core.numeric.ascontiguousarray()¶ Alias to:
numpy.ascontiguousarraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.asfortranarray()¶ Alias to:
numpy.asfortranarraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.convolve()¶ Alias to:
numpy.convolvedefined by
np_convolve(a, v)at numba/np/arraymath.py:4010-4031
-
numpy.core.numeric.correlate()¶ Alias to:
numpy.correlatedefined by
_np_correlate(a, v)at numba/np/arraymath.py:3962-4007
-
numpy.core.numeric.count_nonzero()¶ Alias to:
numpy.count_nonzerodefined by
np_count_nonzero(arr, axis=None)at numba/np/arraymath.py:3322-3336
-
numpy.core.numeric.cross()¶ Alias to:
numpy.crossdefined by
np_cross(a, b)at numba/np/arraymath.py:4420-4442
-
numpy.core.numeric.cumprod()¶ Alias to:
numpy.cumproddefined by
<class 'abc.Numpy_redirect_cumprod'>
-
numpy.core.numeric.cumsum()¶ Alias to:
numpy.cumsumdefined by
<class 'abc.Numpy_redirect_cumsum'>
-
numpy.core.numeric.dot()¶ Alias to:
numpy.dotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.empty_like()¶ Alias to:
numpy.empty_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.flatnonzero()¶ Alias to:
numpy.flatnonzerodefined by
np_flatnonzero(a)at numba/np/arraymath.py:2826-2841
-
numpy.core.numeric.frombuffer()¶ Alias to:
numpy.frombufferdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.full()¶ Alias to:
numpy.fulldefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.full_like()¶ Alias to:
numpy.full_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.identity()¶ Alias to:
numpy.identitydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.mean()¶ Alias to:
numpy.meandefined by
<class 'abc.Numpy_redirect_mean'>
-
numpy.core.numeric.nonzero()¶ Alias to:
numpy.nonzerodefined by
<class 'abc.Numpy_redirect_nonzero'>
-
numpy.core.numeric.ones()¶ Alias to:
numpy.onesdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.ones_like()¶ Alias to:
numpy.ones_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.outer()¶ Alias to:
numpy.outerdefined by
outer_impl(a, b, out=None)at numba/np/linalg.py:2633-2644
-
numpy.core.numeric.partition()¶ Alias to:
numpy.partitiondefined by
np_partition(a, kth)at numba/np/arraymath.py:1521-1543
-
numpy.core.numeric.prod()¶ Alias to:
numpy.proddefined by
<class 'abc.Numpy_redirect_prod'>
-
numpy.core.numeric.ptp()¶ Alias to:
numpy.ptpdefined by
np_ptp(a)at numba/np/arraymath.py:1110-1136
-
numpy.core.numeric.ravel()¶ Alias to:
numpy.raveldefined by
<class 'abc.Numpy_redirect_ravel'>
-
numpy.core.numeric.repeat()¶ Alias to:
numpy.repeatdefined by
np_repeat(a, repeats)at numba/np/arrayobj.py:1925-1967
-
numpy.core.numeric.reshape()¶ Alias to:
numpy.reshapedefined by
np_reshape(a, shape)at numba/np/arrayobj.py:1702-1706
-
numpy.core.numeric.roll()¶ Alias to:
numpy.rolldefined by
np_roll(a, shift)at numba/np/arraymath.py:1933-1953
-
numpy.core.numeric.round_()¶ Alias to:
numpy.rounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.searchsorted()¶ Alias to:
numpy.searchsorteddefined by
searchsorted(a, v, side='left')at numba/np/arraymath.py:3549-3581
-
numpy.core.numeric.shape()¶ Alias to:
numpy.shapedefined by
np_shape(a)at numba/np/arrayobj.py:1903-1910
-
numpy.core.numeric.sort()¶ Alias to:
numpy.sortdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.std()¶ Alias to:
numpy.stddefined by
<class 'abc.Numpy_redirect_std'>
-
numpy.core.numeric.sum()¶ Alias to:
numpy.sumdefined by
<class 'abc.Numpy_redirect_sum'>
-
numpy.core.numeric.take()¶ Alias to:
numpy.takedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.trace()¶ Alias to:
numpy.tracedefined by
matrix_trace_impl(a, offset=0)at numba/np/linalg.py:2567-2595
-
numpy.core.numeric.transpose()¶ Alias to:
numpy.transposedefined by
numpy_transpose(a, axes=None)at numba/np/arrayobj.py:1530-1542
-
numpy.core.numeric.var()¶ Alias to:
numpy.vardefined by
<class 'abc.Numpy_redirect_var'>
-
numpy.core.numeric.vdot()¶ Alias to:
numpy.vdotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.where()¶ Alias to:
numpy.wheredefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numeric.zeros_like()¶ Alias to:
numpy.zeros_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 80 unsupported functions.
supported = 56 / 136 = 41.18%
numpy.core.numerictypes¶
-
numpy.core.numerictypes.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.numerictypes.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 18 unsupported functions.
supported = 2 / 20 = 10.00%
numpy.core.overrides¶
This module is not supported.
numpy.core.records¶
This module is not supported.
numpy.core.setup_common¶
This module is not supported.
numpy.core.shape_base¶
-
numpy.core.shape_base.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.shape_base.atleast_1d()¶ Alias to:
numpy.atleast_1ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.shape_base.atleast_2d()¶ Alias to:
numpy.atleast_2ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.shape_base.atleast_3d()¶ Alias to:
numpy.atleast_3ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.shape_base.hstack()¶ Alias to:
numpy.hstackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.shape_base.stack()¶ Alias to:
numpy.stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.shape_base.vstack()¶ Alias to:
numpy.row_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 3 unsupported functions.
supported = 7 / 10 = 70.00%
numpy.core.umath¶
-
numpy.core.umath.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.core.umath.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.umath.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.umath.frombuffer()¶ Alias to:
numpy.frombufferdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.core.umath.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 52 unsupported functions.
supported = 5 / 57 = 8.77%
numpy.core.umath_tests¶
This module is not supported.
numpy.ctypeslib¶
-
numpy.ctypeslib.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.ctypeslib.frombuffer()¶ Alias to:
numpy.frombufferdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 7 unsupported functions.
supported = 2 / 9 = 22.22%
numpy.distutils¶
This module is not supported.
numpy.distutils.ccompiler¶
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.compaq¶
This module is not supported.
numpy.distutils.fcompiler.environment¶
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.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¶
This module is not supported.
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()¶ 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.basics¶
This module is not supported.
numpy.doc.broadcasting¶
This module is not supported.
numpy.doc.byteswapping¶
This module is not supported.
numpy.doc.constants¶
This module is not supported.
numpy.doc.creation¶
This module is not supported.
numpy.doc.dispatch¶
This module is not supported.
numpy.doc.glossary¶
This module is not supported.
numpy.doc.indexing¶
This module is not supported.
numpy.doc.internals¶
This module is not supported.
numpy.doc.misc¶
This module is not supported.
numpy.doc.structured_arrays¶
This module is not supported.
numpy.doc.subclassing¶
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:901-943
-
numpy.dual.det()¶ defined by
det_impl(a)at numba/np/linalg.py:2018-2029
-
numpy.dual.eig()¶ defined by
eig_impl(a)at numba/np/linalg.py:945-1058
-
numpy.dual.eigh()¶ defined by
eigh_impl(a)at numba/np/linalg.py:1179-1226
-
numpy.dual.eigvals()¶ defined by
eigvals_impl(a)at numba/np/linalg.py:1060-1177
-
numpy.dual.eigvalsh()¶ defined by
eigvalsh_impl(a)at numba/np/linalg.py:1228-1275
-
numpy.dual.inv()¶ defined by
inv_impl(a)at numba/np/linalg.py:833-870
-
numpy.dual.lstsq()¶ defined by
lstsq_impl(a, b, rcond=-1.0)at numba/np/linalg.py:1583-1675
-
numpy.dual.norm()¶ defined by
norm_impl(a, ord=None)at numba/np/linalg.py:2352-2358
-
numpy.dual.pinv()¶ defined by
pinv_impl(a, rcond=1e-15)at numba/np/linalg.py:1759-1920
-
numpy.dual.solve()¶ defined by
solve_impl(a, b)at numba/np/linalg.py:1698-1756
-
numpy.dual.svd()¶ defined by
svd_impl(a, full_matrices=1)at numba/np/linalg.py:1277-1340
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.system_info.reducedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 102 unsupported functions.
supported = 1 / 103 = 0.97%
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.f2py_testing¶
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.use_rules¶
This module is not supported.
numpy.fft¶
This module is not supported.
numpy.fft.helper¶
-
numpy.fft.helper.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.fft.helper.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.fft.helper.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.fft.helper.roll()¶ Alias to:
numpy.rolldefined by
np_roll(a, shift)at numba/np/arraymath.py:1933-1953
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.angledefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.append()¶ Alias to:
numpy.appenddefined by
np_append(arr, values, axis=None)at numba/np/arrayobj.py:1709-1732
-
numpy.lib.array_split()¶ Alias to:
numpy.array_splitdefined by
np_array_split(ary, indices_or_sections, axis=0)at numba/np/arrayobj.py:4976-5034
-
numpy.lib.asarray_chkfinite()¶ Alias to:
numpy.asarray_chkfinitedefined by
np_asarray_chkfinite(a, dtype=None)at numba/np/arraymath.py:4181-4203
-
numpy.lib.asfarray()¶ Alias to:
numpy.asfarraydefined by
np_asfarray(a, dtype=<class 'numpy.float64'>)at numba/np/arraymath.py:4089-4101
-
numpy.lib.bartlett()¶ Alias to:
numpy.bartlettdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.lib.bincount()¶ Alias to:
numpy.bincountdefined by
np_bincount(a, weights=None, minlength=0)at numba/np/arraymath.py:3461-3516
-
numpy.lib.blackman()¶ Alias to:
numpy.blackmandefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.lib.column_stack()¶ Alias to:
numpy.column_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.copy()¶ Alias to:
numpy.copydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.corrcoef()¶ Alias to:
numpy.corrcoefdefined by
np_corrcoef(x, y=None, rowvar=True)at numba/np/arraymath.py:2754-2784
-
numpy.lib.cov()¶ Alias to:
numpy.covdefined by
np_cov(m, y=None, rowvar=True, bias=False, ddof=None)at numba/np/arraymath.py:2695-2751
-
numpy.lib.delete()¶ Alias to:
numpy.deletedefined by
np_delete(arr, obj)at numba/np/arraymath.py:3343-3387
-
numpy.lib.diag()¶ Alias to:
numpy.diagdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.diff()¶ Alias to:
numpy.diffdefined by
np_diff_impl(a, n=1)at numba/np/arraymath.py:3390-3426
-
numpy.lib.digitize()¶ Alias to:
numpy.digitizedefined by
np_digitize(x, bins, right=False)at numba/np/arraymath.py:3584-3710
-
numpy.lib.dstack()¶ Alias to:
numpy.dstackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.ediff1d()¶ Alias to:
numpy.ediff1ddefined by
np_ediff1d(ary, to_end=None, to_begin=None)at numba/np/arraymath.py:1743-1798
-
numpy.lib.expand_dims()¶ Alias to:
numpy.expand_dimsdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.extract()¶ Alias to:
numpy.extractdefined by
np_extract(condition, arr)at numba/np/arraymath.py:4104-4127
-
numpy.lib.eye()¶ Alias to:
numpy.eyedefined by
numpy_eye(N, M=None, k=0, dtype=<class 'float'>)at numba/np/arrayobj.py:3688-3711
-
numpy.lib.fill_diagonal()¶ Alias to:
numpy.fill_diagonaldefined by
np_fill_diagonal(a, val, wrap=False)at numba/np/arraymath.py:2928-2958
-
numpy.lib.flip()¶ Alias to:
numpy.flipdefined by
np_flip(a)at numba/np/arrayobj.py:4962-4973
-
numpy.lib.fliplr()¶ Alias to:
numpy.fliplrdefined by
np_flip_lr(a)at numba/np/arrayobj.py:4900-4914
-
numpy.lib.flipud()¶ Alias to:
numpy.flipuddefined by
np_flip_ud(a)at numba/np/arrayobj.py:4917-4931
-
numpy.lib.hamming()¶ Alias to:
numpy.hammingdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.lib.hanning()¶ Alias to:
numpy.hanningdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.lib.histogram()¶ Alias to:
numpy.histogramdefined by
np_histogram(a, bins=10, range=None)at numba/np/arraymath.py:3716-3796
-
numpy.lib.imag()¶ Alias to:
numpy.imagdefined by
np_imag(a)at numba/np/arraymath.py:3297-3302
-
numpy.lib.interp()¶ Alias to:
numpy.interpdefined by
np_interp(x, xp, fp)at numba/np/arraymath.py:2446-2507
-
numpy.lib.kaiser()¶ Alias to:
numpy.kaiserdefined by
np_kaiser(M, beta)at numba/np/arraymath.py:4357-4376
-
numpy.lib.kron()¶ Alias to:
numpy.krondefined by
kron_impl(a, b)at numba/np/linalg.py:2710-2764
-
numpy.lib.median()¶ Alias to:
numpy.mediandefined by
np_median(a)at numba/np/arraymath.py:1256-1268
-
numpy.lib.nancumprod()¶ Alias to:
numpy.nancumproddefined by
np_nancumprod(a)at numba/np/arraymath.py:1001-1023
-
numpy.lib.nancumsum()¶ Alias to:
numpy.nancumsumdefined by
np_nancumsum(a)at numba/np/arraymath.py:1026-1048
-
numpy.lib.nanmax()¶ Alias to:
numpy.nanmaxdefined by
np_nanmax(a)at numba/np/arraymath.py:892-898
-
numpy.lib.nanmean()¶ Alias to:
numpy.nanmeandefined by
np_nanmean(a)at numba/np/arraymath.py:901-918
-
numpy.lib.nanmedian()¶ Alias to:
numpy.nanmediandefined by
np_nanmedian(a)at numba/np/arraymath.py:1440-1462
-
numpy.lib.nanmin()¶ Alias to:
numpy.nanmindefined by
np_nanmin(a)at numba/np/arraymath.py:883-889
-
numpy.lib.nanpercentile()¶ Alias to:
numpy.nanpercentiledefined by
np_nanpercentile(a, q)at numba/np/arraymath.py:1419-1423
-
numpy.lib.nanprod()¶ Alias to:
numpy.nanproddefined by
np_nanprod(a)at numba/np/arraymath.py:979-998
-
numpy.lib.nanquantile()¶ Alias to:
numpy.nanquantiledefined by
np_nanquantile(a, q)at numba/np/arraymath.py:1433-1437
-
numpy.lib.nanstd()¶ Alias to:
numpy.nanstddefined by
np_nanstd(a)at numba/np/arraymath.py:946-954
-
numpy.lib.nansum()¶ Alias to:
numpy.nansumdefined by
np_nansum(a)at numba/np/arraymath.py:957-976
-
numpy.lib.nanvar()¶ Alias to:
numpy.nanvardefined by
np_nanvar(a)at numba/np/arraymath.py:921-943
-
numpy.lib.percentile()¶ Alias to:
numpy.percentiledefined by
np_percentile(a, q)at numba/np/arraymath.py:1412-1416
-
numpy.lib.quantile()¶ Alias to:
numpy.quantiledefined by
np_quantile(a, q)at numba/np/arraymath.py:1426-1430
-
numpy.lib.real()¶ Alias to:
numpy.realdefined by
np_real(a)at numba/np/arraymath.py:3289-3294
-
numpy.lib.roots()¶ Alias to:
numpy.rootsdefined by
roots_impl(p)at numba/np/polynomial.py:14-59
-
numpy.lib.row_stack()¶ Alias to:
numpy.row_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.select()¶ Alias to:
numpy.selectdefined by
np_select(condlist, choicelist, default=0)at numba/np/arraymath.py:4130-4178
-
numpy.lib.sinc()¶ Alias to:
numpy.sincdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.split()¶ Alias to:
numpy.splitdefined by
np_split(ary, indices_or_sections, axis=0)at numba/np/arrayobj.py:5037-5061
-
numpy.lib.trapz()¶ Alias to:
numpy.trapzdefined by
np_trapz(y, x=None, dx=1.0)at numba/np/arraymath.py:1835-1854
-
numpy.lib.tri()¶ Alias to:
numpy.tridefined by
np_tri(N, M=None, k=0)at numba/np/arraymath.py:1562-1573
-
numpy.lib.tril()¶ Alias to:
numpy.trildefined by
my_tril(m, k=0)at numba/np/arraymath.py:1599-1623
-
numpy.lib.tril_indices()¶ Alias to:
numpy.tril_indicesdefined by
np_tril_indices(n, k=0, m=None)at numba/np/arraymath.py:1626-1637
-
numpy.lib.tril_indices_from()¶ Alias to:
numpy.tril_indices_fromdefined by
np_tril_indices_from(arr, k=0)at numba/np/arraymath.py:1640-1651
-
numpy.lib.triu()¶ Alias to:
numpy.triudefined by
my_triu(m, k=0)at numba/np/arraymath.py:1660-1683
-
numpy.lib.triu_indices()¶ Alias to:
numpy.triu_indicesdefined by
np_triu_indices(n, k=0, m=None)at numba/np/arraymath.py:1686-1697
-
numpy.lib.triu_indices_from()¶ Alias to:
numpy.triu_indices_fromdefined by
np_triu_indices_from(arr, k=0)at numba/np/arraymath.py:1700-1711
-
numpy.lib.unique()¶ Alias to:
numpy.uniquedefined by
np_unique(a)at numba/np/arrayobj.py:1915-1922
-
numpy.lib.vander()¶ Alias to:
numpy.vanderdefined by
np_vander(x, N=None, increasing=False)at numba/np/arraymath.py:1893-1930
Not showing 106 unsupported functions.
supported = 63 / 169 = 37.28%
numpy.lib.arraypad¶
This module is not supported.
numpy.lib.arraysetops¶
-
numpy.lib.arraysetops.ediff1d()¶ Alias to:
numpy.ediff1ddefined by
np_ediff1d(ary, to_end=None, to_begin=None)at numba/np/arraymath.py:1743-1798
-
numpy.lib.arraysetops.unique()¶ Alias to:
numpy.uniquedefined by
np_unique(a)at numba/np/arrayobj.py:1915-1922
Not showing 6 unsupported functions.
supported = 2 / 8 = 25.00%
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
unicode_repeat(a, b)at numba/cpython/unicode.py:1748-1757defined 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.system_info.reducedefined 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.financial¶
This module is not supported.
numpy.lib.format¶
This module is not supported.
numpy.lib.function_base¶
-
numpy.lib.function_base.angle()¶ Alias to:
numpy.angledefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.any()¶ Alias to:
numpy.anydefined by
np_any(a)at numba/np/arraymath.py:789-798
-
numpy.lib.function_base.append()¶ Alias to:
numpy.appenddefined by
np_append(arr, values, axis=None)at numba/np/arrayobj.py:1709-1732
-
numpy.lib.function_base.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.lib.function_base.around()¶ Alias to:
numpy.arounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.lib.function_base.asarray_chkfinite()¶ Alias to:
numpy.asarray_chkfinitedefined by
np_asarray_chkfinite(a, dtype=None)at numba/np/arraymath.py:4181-4203
-
numpy.lib.function_base.bartlett()¶ Alias to:
numpy.bartlettdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.lib.function_base.bincount()¶ Alias to:
numpy.bincountdefined by
np_bincount(a, weights=None, minlength=0)at numba/np/arraymath.py:3461-3516
-
numpy.lib.function_base.blackman()¶ Alias to:
numpy.blackmandefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.lib.function_base.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.copy()¶ Alias to:
numpy.copydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.corrcoef()¶ Alias to:
numpy.corrcoefdefined by
np_corrcoef(x, y=None, rowvar=True)at numba/np/arraymath.py:2754-2784
-
numpy.lib.function_base.cov()¶ Alias to:
numpy.covdefined by
np_cov(m, y=None, rowvar=True, bias=False, ddof=None)at numba/np/arraymath.py:2695-2751
-
numpy.lib.function_base.delete()¶ Alias to:
numpy.deletedefined by
np_delete(arr, obj)at numba/np/arraymath.py:3343-3387
-
numpy.lib.function_base.diag()¶ Alias to:
numpy.diagdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.diff()¶ Alias to:
numpy.diffdefined by
np_diff_impl(a, n=1)at numba/np/arraymath.py:3390-3426
-
numpy.lib.function_base.digitize()¶ Alias to:
numpy.digitizedefined by
np_digitize(x, bins, right=False)at numba/np/arraymath.py:3584-3710
-
numpy.lib.function_base.dot()¶ Alias to:
numpy.dotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.extract()¶ Alias to:
numpy.extractdefined by
np_extract(condition, arr)at numba/np/arraymath.py:4104-4127
-
numpy.lib.function_base.flip()¶ Alias to:
numpy.flipdefined by
np_flip(a)at numba/np/arrayobj.py:4962-4973
-
numpy.lib.function_base.hamming()¶ Alias to:
numpy.hammingdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.lib.function_base.hanning()¶ Alias to:
numpy.hanningdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.lib.function_base.histogram()¶ Alias to:
numpy.histogramdefined by
np_histogram(a, bins=10, range=None)at numba/np/arraymath.py:3716-3796
-
numpy.lib.function_base.interp()¶ Alias to:
numpy.interpdefined by
np_interp(x, xp, fp)at numba/np/arraymath.py:2446-2507
-
numpy.lib.function_base.kaiser()¶ Alias to:
numpy.kaiserdefined by
np_kaiser(M, beta)at numba/np/arraymath.py:4357-4376
-
numpy.lib.function_base.mean()¶ Alias to:
numpy.meandefined by
<class 'abc.Numpy_redirect_mean'>
-
numpy.lib.function_base.median()¶ Alias to:
numpy.mediandefined by
np_median(a)at numba/np/arraymath.py:1256-1268
-
numpy.lib.function_base.nonzero()¶ Alias to:
numpy.nonzerodefined by
<class 'abc.Numpy_redirect_nonzero'>
-
numpy.lib.function_base.ones()¶ Alias to:
numpy.onesdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.partition()¶ Alias to:
numpy.partitiondefined by
np_partition(a, kth)at numba/np/arraymath.py:1521-1543
-
numpy.lib.function_base.percentile()¶ Alias to:
numpy.percentiledefined by
np_percentile(a, q)at numba/np/arraymath.py:1412-1416
-
numpy.lib.function_base.quantile()¶ Alias to:
numpy.quantiledefined by
np_quantile(a, q)at numba/np/arraymath.py:1426-1430
-
numpy.lib.function_base.ravel()¶ Alias to:
numpy.raveldefined by
<class 'abc.Numpy_redirect_ravel'>
-
numpy.lib.function_base.select()¶ Alias to:
numpy.selectdefined by
np_select(condlist, choicelist, default=0)at numba/np/arraymath.py:4130-4178
-
numpy.lib.function_base.sinc()¶ Alias to:
numpy.sincdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.sum()¶ Alias to:
numpy.sumdefined by
<class 'abc.Numpy_redirect_sum'>
-
numpy.lib.function_base.take()¶ Alias to:
numpy.takedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.transpose()¶ Alias to:
numpy.transposedefined by
numpy_transpose(a, axes=None)at numba/np/arrayobj.py:1530-1542
-
numpy.lib.function_base.trapz()¶ Alias to:
numpy.trapzdefined by
np_trapz(y, x=None, dx=1.0)at numba/np/arraymath.py:1835-1854
-
numpy.lib.function_base.where()¶ Alias to:
numpy.wheredefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.function_base.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 25 unsupported functions.
supported = 44 / 69 = 63.77%
numpy.lib.histograms¶
-
numpy.lib.histograms.histogram()¶ Alias to:
numpy.histogramdefined by
np_histogram(a, bins=10, range=None)at numba/np/arraymath.py:3716-3796
Not showing 2 unsupported functions.
supported = 1 / 3 = 33.33%
numpy.lib.index_tricks¶
-
numpy.lib.index_tricks.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.lib.index_tricks.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.index_tricks.as_strided()¶ defined by
as_strided(x, shape=None, strides=None)at numba/np/arrayobj.py:5197-5223
-
numpy.lib.index_tricks.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.lib.index_tricks.cumprod()¶ Alias to:
numpy.cumproddefined by
<class 'abc.Numpy_redirect_cumprod'>
-
numpy.lib.index_tricks.diff()¶ Alias to:
numpy.diffdefined by
np_diff_impl(a, n=1)at numba/np/arraymath.py:3390-3426
-
numpy.lib.index_tricks.fill_diagonal()¶ Alias to:
numpy.fill_diagonaldefined by
np_fill_diagonal(a, val, wrap=False)at numba/np/arraymath.py:2928-2958
-
numpy.lib.index_tricks.linspace()¶ Alias to:
numpy.linspacedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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.nancumproddefined by
np_nancumprod(a)at numba/np/arraymath.py:1001-1023
-
numpy.lib.nanfunctions.nancumsum()¶ Alias to:
numpy.nancumsumdefined by
np_nancumsum(a)at numba/np/arraymath.py:1026-1048
-
numpy.lib.nanfunctions.nanmax()¶ Alias to:
numpy.nanmaxdefined by
np_nanmax(a)at numba/np/arraymath.py:892-898
-
numpy.lib.nanfunctions.nanmean()¶ Alias to:
numpy.nanmeandefined by
np_nanmean(a)at numba/np/arraymath.py:901-918
-
numpy.lib.nanfunctions.nanmedian()¶ Alias to:
numpy.nanmediandefined by
np_nanmedian(a)at numba/np/arraymath.py:1440-1462
-
numpy.lib.nanfunctions.nanmin()¶ Alias to:
numpy.nanmindefined by
np_nanmin(a)at numba/np/arraymath.py:883-889
-
numpy.lib.nanfunctions.nanpercentile()¶ Alias to:
numpy.nanpercentiledefined by
np_nanpercentile(a, q)at numba/np/arraymath.py:1419-1423
-
numpy.lib.nanfunctions.nanprod()¶ Alias to:
numpy.nanproddefined by
np_nanprod(a)at numba/np/arraymath.py:979-998
-
numpy.lib.nanfunctions.nanquantile()¶ Alias to:
numpy.nanquantiledefined by
np_nanquantile(a, q)at numba/np/arraymath.py:1433-1437
-
numpy.lib.nanfunctions.nanstd()¶ Alias to:
numpy.nanstddefined by
np_nanstd(a)at numba/np/arraymath.py:946-954
-
numpy.lib.nanfunctions.nansum()¶ Alias to:
numpy.nansumdefined by
np_nansum(a)at numba/np/arraymath.py:957-976
-
numpy.lib.nanfunctions.nanvar()¶ Alias to:
numpy.nanvardefined by
np_nanvar(a)at numba/np/arraymath.py:921-943
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.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.polynomial.atleast_1d()¶ Alias to:
numpy.atleast_1ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.polynomial.diag()¶ Alias to:
numpy.diagdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.polynomial.dot()¶ Alias to:
numpy.dotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.polynomial.eigvals()¶ Alias to:
numpy.dual.eigvalsdefined by
eigvals_impl(a)at numba/np/linalg.py:1060-1177
-
numpy.lib.polynomial.hstack()¶ Alias to:
numpy.hstackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.polynomial.imag()¶ Alias to:
numpy.imagdefined by
np_imag(a)at numba/np/arraymath.py:3297-3302
-
numpy.lib.polynomial.inv()¶ Alias to:
numpy.dual.invdefined by
inv_impl(a)at numba/np/linalg.py:833-870
-
numpy.lib.polynomial.lstsq()¶ Alias to:
numpy.dual.lstsqdefined by
lstsq_impl(a, b, rcond=-1.0)at numba/np/linalg.py:1583-1675
-
numpy.lib.polynomial.ones()¶ Alias to:
numpy.onesdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.polynomial.real()¶ Alias to:
numpy.realdefined by
np_real(a)at numba/np/arraymath.py:3289-3294
-
numpy.lib.polynomial.roots()¶ Alias to:
numpy.rootsdefined by
roots_impl(p)at numba/np/polynomial.py:14-59
-
numpy.lib.polynomial.vander()¶ Alias to:
numpy.vanderdefined by
np_vander(x, N=None, increasing=False)at numba/np/arraymath.py:1893-1930
Not showing 14 unsupported functions.
supported = 13 / 27 = 48.15%
numpy.lib.recfunctions¶
This module is not supported.
numpy.lib.scimath¶
-
numpy.lib.scimath.any()¶ Alias to:
numpy.anydefined by
np_any(a)at numba/np/arraymath.py:789-798
-
numpy.lib.scimath.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
Not showing 11 unsupported functions.
supported = 2 / 13 = 15.38%
numpy.lib.setup¶
This module is not supported.
numpy.lib.shape_base¶
-
numpy.lib.shape_base.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.shape_base.array_split()¶ Alias to:
numpy.array_splitdefined by
np_array_split(ary, indices_or_sections, axis=0)at numba/np/arrayobj.py:4976-5034
-
numpy.lib.shape_base.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.lib.shape_base.atleast_3d()¶ Alias to:
numpy.atleast_3ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.shape_base.column_stack()¶ Alias to:
numpy.column_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.shape_base.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.shape_base.dstack()¶ Alias to:
numpy.dstackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.shape_base.expand_dims()¶ Alias to:
numpy.expand_dimsdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.shape_base.kron()¶ Alias to:
numpy.krondefined by
kron_impl(a, b)at numba/np/linalg.py:2710-2764
-
numpy.lib.shape_base.outer()¶ Alias to:
numpy.outerdefined by
outer_impl(a, b, out=None)at numba/np/linalg.py:2633-2644
-
numpy.lib.shape_base.reshape()¶ Alias to:
numpy.reshapedefined by
np_reshape(a, shape)at numba/np/arrayobj.py:1702-1706
-
numpy.lib.shape_base.row_stack()¶ Alias to:
numpy.row_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.shape_base.split()¶ Alias to:
numpy.splitdefined by
np_split(ary, indices_or_sections, axis=0)at numba/np/arrayobj.py:5037-5061
-
numpy.lib.shape_base.transpose()¶ Alias to:
numpy.transposedefined by
numpy_transpose(a, axes=None)at numba/np/arrayobj.py:1530-1542
-
numpy.lib.shape_base.vstack()¶ Alias to:
numpy.row_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.shape_base.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 13 unsupported functions.
supported = 16 / 29 = 55.17%
numpy.lib.stride_tricks¶
-
numpy.lib.stride_tricks.as_strided()¶ Alias to:
numpy.lib.index_tricks.as_strideddefined by
as_strided(x, shape=None, strides=None)at numba/np/arrayobj.py:5197-5223
Not showing 3 unsupported functions.
supported = 1 / 4 = 25.00%
numpy.lib.twodim_base¶
-
numpy.lib.twodim_base.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.lib.twodim_base.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.lib.twodim_base.diag()¶ Alias to:
numpy.diagdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.twodim_base.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.twodim_base.eye()¶ Alias to:
numpy.eyedefined by
numpy_eye(N, M=None, k=0, dtype=<class 'float'>)at numba/np/arrayobj.py:3688-3711
-
numpy.lib.twodim_base.fliplr()¶ Alias to:
numpy.fliplrdefined by
np_flip_lr(a)at numba/np/arrayobj.py:4900-4914
-
numpy.lib.twodim_base.flipud()¶ Alias to:
numpy.flipuddefined by
np_flip_ud(a)at numba/np/arrayobj.py:4917-4931
-
numpy.lib.twodim_base.nonzero()¶ Alias to:
numpy.nonzerodefined by
<class 'abc.Numpy_redirect_nonzero'>
-
numpy.lib.twodim_base.ones()¶ Alias to:
numpy.onesdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.twodim_base.tri()¶ Alias to:
numpy.tridefined by
np_tri(N, M=None, k=0)at numba/np/arraymath.py:1562-1573
-
numpy.lib.twodim_base.tril()¶ Alias to:
numpy.trildefined by
my_tril(m, k=0)at numba/np/arraymath.py:1599-1623
-
numpy.lib.twodim_base.tril_indices()¶ Alias to:
numpy.tril_indicesdefined by
np_tril_indices(n, k=0, m=None)at numba/np/arraymath.py:1626-1637
-
numpy.lib.twodim_base.tril_indices_from()¶ Alias to:
numpy.tril_indices_fromdefined by
np_tril_indices_from(arr, k=0)at numba/np/arraymath.py:1640-1651
-
numpy.lib.twodim_base.triu()¶ Alias to:
numpy.triudefined by
my_triu(m, k=0)at numba/np/arraymath.py:1660-1683
-
numpy.lib.twodim_base.triu_indices()¶ Alias to:
numpy.triu_indicesdefined by
np_triu_indices(n, k=0, m=None)at numba/np/arraymath.py:1686-1697
-
numpy.lib.twodim_base.triu_indices_from()¶ Alias to:
numpy.triu_indices_fromdefined by
np_triu_indices_from(arr, k=0)at numba/np/arraymath.py:1700-1711
-
numpy.lib.twodim_base.vander()¶ Alias to:
numpy.vanderdefined by
np_vander(x, N=None, increasing=False)at numba/np/arraymath.py:1893-1930
-
numpy.lib.twodim_base.where()¶ Alias to:
numpy.wheredefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.twodim_base.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 7 unsupported functions.
supported = 19 / 26 = 73.08%
numpy.lib.type_check¶
-
numpy.lib.type_check.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.lib.type_check.asfarray()¶ Alias to:
numpy.asfarraydefined by
np_asfarray(a, dtype=<class 'numpy.float64'>)at numba/np/arraymath.py:4089-4101
-
numpy.lib.type_check.imag()¶ Alias to:
numpy.imagdefined by
np_imag(a)at numba/np/arraymath.py:3297-3302
-
numpy.lib.type_check.real()¶ Alias to:
numpy.realdefined by
np_real(a)at numba/np/arraymath.py:3289-3294
-
numpy.lib.type_check.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 14 unsupported functions.
supported = 5 / 19 = 26.32%
numpy.lib.ufunclike¶
This module is not supported.
numpy.lib.user_array¶
-
numpy.lib.user_array.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.lib.user_array.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.lib.user_array.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.lib.user_array.reshape()¶ Alias to:
numpy.reshapedefined by
np_reshape(a, shape)at numba/np/arrayobj.py:1702-1706
-
numpy.lib.user_array.shape()¶ Alias to:
numpy.shapedefined by
np_shape(a)at numba/np/arrayobj.py:1903-1910
-
numpy.lib.user_array.transpose()¶ Alias to:
numpy.transposedefined by
numpy_transpose(a, axes=None)at numba/np/arrayobj.py:1530-1542
Not showing 0 unsupported functions.
supported = 6 / 6 = 100.00%
numpy.lib.utils¶
-
numpy.lib.utils.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
Not showing 15 unsupported functions.
supported = 1 / 16 = 6.25%
numpy.linalg¶
-
numpy.linalg.cholesky()¶ Alias to:
numpy.dual.choleskydefined by
cho_impl(a)at numba/np/linalg.py:901-943
-
numpy.linalg.cond()¶ defined by
cond_impl(a, p=None)at numba/np/linalg.py:2361-2403
-
numpy.linalg.det()¶ Alias to:
numpy.dual.detdefined by
det_impl(a)at numba/np/linalg.py:2018-2029
-
numpy.linalg.eig()¶ Alias to:
numpy.dual.eigdefined by
eig_impl(a)at numba/np/linalg.py:945-1058
-
numpy.linalg.eigh()¶ Alias to:
numpy.dual.eighdefined by
eigh_impl(a)at numba/np/linalg.py:1179-1226
-
numpy.linalg.eigvals()¶ Alias to:
numpy.dual.eigvalsdefined by
eigvals_impl(a)at numba/np/linalg.py:1060-1177
-
numpy.linalg.eigvalsh()¶ Alias to:
numpy.dual.eigvalshdefined by
eigvalsh_impl(a)at numba/np/linalg.py:1228-1275
-
numpy.linalg.inv()¶ Alias to:
numpy.dual.invdefined by
inv_impl(a)at numba/np/linalg.py:833-870
-
numpy.linalg.lstsq()¶ Alias to:
numpy.dual.lstsqdefined by
lstsq_impl(a, b, rcond=-1.0)at numba/np/linalg.py:1583-1675
-
numpy.linalg.matrix_power()¶ defined by
matrix_power_impl(a, n)at numba/np/linalg.py:2486-2562
-
numpy.linalg.matrix_rank()¶ defined by
matrix_rank_impl(a, tol=None)at numba/np/linalg.py:2420-2483
-
numpy.linalg.norm()¶ Alias to:
numpy.dual.normdefined by
norm_impl(a, ord=None)at numba/np/linalg.py:2352-2358
-
numpy.linalg.pinv()¶ Alias to:
numpy.dual.pinvdefined by
pinv_impl(a, rcond=1e-15)at numba/np/linalg.py:1759-1920
-
numpy.linalg.qr()¶ defined by
qr_impl(a)at numba/np/linalg.py:1343-1417
-
numpy.linalg.slogdet()¶ defined by
slogdet_impl(a)at numba/np/linalg.py:1959-2015
-
numpy.linalg.solve()¶ Alias to:
numpy.dual.solvedefined by
solve_impl(a, b)at numba/np/linalg.py:1698-1756
-
numpy.linalg.svd()¶ Alias to:
numpy.dual.svddefined by
svd_impl(a, full_matrices=1)at numba/np/linalg.py:1277-1340
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.alldefined by
np_all(a)at numba/np/arraymath.py:777-786
-
numpy.linalg.linalg.amax()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
-
numpy.linalg.linalg.amin()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
-
numpy.linalg.linalg.argsort()¶ Alias to:
numpy.argsortdefined by
<class 'abc.Numpy_redirect_argsort'>
-
numpy.linalg.linalg.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.linalg.linalg.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.linalg.linalg.atleast_2d()¶ Alias to:
numpy.atleast_2ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.linalg.linalg.cholesky()¶ Alias to:
numpy.dual.choleskydefined by
cho_impl(a)at numba/np/linalg.py:901-943
-
numpy.linalg.linalg.cond()¶ Alias to:
numpy.linalg.conddefined by
cond_impl(a, p=None)at numba/np/linalg.py:2361-2403
-
numpy.linalg.linalg.count_nonzero()¶ Alias to:
numpy.count_nonzerodefined by
np_count_nonzero(arr, axis=None)at numba/np/arraymath.py:3322-3336
-
numpy.linalg.linalg.det()¶ Alias to:
numpy.dual.detdefined by
det_impl(a)at numba/np/linalg.py:2018-2029
-
numpy.linalg.linalg.dot()¶ Alias to:
numpy.dotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.linalg.linalg.eig()¶ Alias to:
numpy.dual.eigdefined by
eig_impl(a)at numba/np/linalg.py:945-1058
-
numpy.linalg.linalg.eigh()¶ Alias to:
numpy.dual.eighdefined by
eigh_impl(a)at numba/np/linalg.py:1179-1226
-
numpy.linalg.linalg.eigvals()¶ Alias to:
numpy.dual.eigvalsdefined by
eigvals_impl(a)at numba/np/linalg.py:1060-1177
-
numpy.linalg.linalg.eigvalsh()¶ Alias to:
numpy.dual.eigvalshdefined by
eigvalsh_impl(a)at numba/np/linalg.py:1228-1275
-
numpy.linalg.linalg.empty()¶ Alias to:
numpy.emptydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.linalg.linalg.empty_like()¶ Alias to:
numpy.empty_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.linalg.linalg.eye()¶ Alias to:
numpy.eyedefined by
numpy_eye(N, M=None, k=0, dtype=<class 'float'>)at numba/np/arrayobj.py:3688-3711
-
numpy.linalg.linalg.inv()¶ Alias to:
numpy.dual.invdefined by
inv_impl(a)at numba/np/linalg.py:833-870
-
numpy.linalg.linalg.lstsq()¶ Alias to:
numpy.dual.lstsqdefined by
lstsq_impl(a, b, rcond=-1.0)at numba/np/linalg.py:1583-1675
-
numpy.linalg.linalg.matrix_power()¶ Alias to:
numpy.linalg.matrix_powerdefined by
matrix_power_impl(a, n)at numba/np/linalg.py:2486-2562
-
numpy.linalg.linalg.matrix_rank()¶ Alias to:
numpy.linalg.matrix_rankdefined by
matrix_rank_impl(a, tol=None)at numba/np/linalg.py:2420-2483
-
numpy.linalg.linalg.norm()¶ Alias to:
numpy.dual.normdefined by
norm_impl(a, ord=None)at numba/np/linalg.py:2352-2358
-
numpy.linalg.linalg.pinv()¶ Alias to:
numpy.dual.pinvdefined by
pinv_impl(a, rcond=1e-15)at numba/np/linalg.py:1759-1920
-
numpy.linalg.linalg.qr()¶ Alias to:
numpy.linalg.qrdefined by
qr_impl(a)at numba/np/linalg.py:1343-1417
-
numpy.linalg.linalg.slogdet()¶ Alias to:
numpy.linalg.slogdetdefined by
slogdet_impl(a)at numba/np/linalg.py:1959-2015
-
numpy.linalg.linalg.solve()¶ Alias to:
numpy.dual.solvedefined by
solve_impl(a, b)at numba/np/linalg.py:1698-1756
-
numpy.linalg.linalg.sort()¶ Alias to:
numpy.sortdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.linalg.linalg.sum()¶ Alias to:
numpy.sumdefined by
<class 'abc.Numpy_redirect_sum'>
-
numpy.linalg.linalg.svd()¶ Alias to:
numpy.dual.svddefined by
svd_impl(a, full_matrices=1)at numba/np/linalg.py:1277-1340
-
numpy.linalg.linalg.triu()¶ Alias to:
numpy.triudefined by
my_triu(m, k=0)at numba/np/arraymath.py:1660-1683
-
numpy.linalg.linalg.zeros()¶ Alias to:
numpy.zerosdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 14 unsupported functions.
supported = 33 / 47 = 70.21%
numpy.linalg.setup¶
This module is not supported.
numpy.ma¶
-
numpy.ma.amax()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
-
numpy.ma.amin()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
-
numpy.ma.diff()¶ Alias to:
numpy.diffdefined by
np_diff_impl(a, n=1)at numba/np/arraymath.py:3390-3426
-
numpy.ma.expand_dims()¶ Alias to:
numpy.expand_dimsdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 106 unsupported functions.
supported = 4 / 110 = 3.64%
numpy.ma.bench¶
This module is not supported.
numpy.ma.core¶
-
numpy.ma.core.amax()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
-
numpy.ma.core.amin()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
-
numpy.ma.core.diff()¶ Alias to:
numpy.diffdefined by
np_diff_impl(a, n=1)at numba/np/arraymath.py:3390-3426
-
numpy.ma.core.expand_dims()¶ Alias to:
numpy.expand_dimsdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.ma.core.narray()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.ma.core.ones_like()¶ Alias to:
numpy.ones_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.ma.core.reduce()¶ Alias to:
numpy.distutils.system_info.reducedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.ma.core.zeros_like()¶ Alias to:
numpy.zeros_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 87 unsupported functions.
supported = 8 / 95 = 8.42%
numpy.ma.extras¶
-
numpy.ma.extras.nxarray()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 48 unsupported functions.
supported = 1 / 49 = 2.04%
numpy.ma.mrecords¶
-
numpy.ma.mrecords.narray()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
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.system_info.reducedefined 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.alldefined by
np_all(a)at numba/np/arraymath.py:777-786
-
numpy.matlib.amax()¶ Alias to:
numpy.amaxdefined by
<class 'abc.Numpy_redirect_max'>
-
numpy.matlib.amin()¶ Alias to:
numpy.amindefined by
<class 'abc.Numpy_redirect_min'>
-
numpy.matlib.angle()¶ Alias to:
numpy.angledefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.any()¶ Alias to:
numpy.anydefined by
np_any(a)at numba/np/arraymath.py:789-798
-
numpy.matlib.append()¶ Alias to:
numpy.appenddefined by
np_append(arr, values, axis=None)at numba/np/arrayobj.py:1709-1732
-
numpy.matlib.arange()¶ Alias to:
numpy.arangedefined by
np_arange(start, stop=None, step=None, dtype=None)at numba/np/arrayobj.py:3849-3915
-
numpy.matlib.argmax()¶ Alias to:
numpy.argmaxdefined by
<class 'abc.Numpy_redirect_argmax'>
-
numpy.matlib.argmin()¶ Alias to:
numpy.argmindefined by
<class 'abc.Numpy_redirect_argmin'>
-
numpy.matlib.argsort()¶ Alias to:
numpy.argsortdefined by
<class 'abc.Numpy_redirect_argsort'>
-
numpy.matlib.argwhere()¶ Alias to:
numpy.argwheredefined by
np_argwhere(a)at numba/np/arraymath.py:2791-2823
-
numpy.matlib.around()¶ Alias to:
numpy.arounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.array()¶ Alias to:
numpy.arraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.array_equal()¶ Alias to:
numpy.array_equaldefined by
np_array_equal(a, b)at numba/np/arraymath.py:3429-3448
-
numpy.matlib.array_split()¶ Alias to:
numpy.array_splitdefined by
np_array_split(ary, indices_or_sections, axis=0)at numba/np/arrayobj.py:4976-5034
-
numpy.matlib.asarray()¶ Alias to:
numpy.asarraydefined by
np_asarray(a, dtype=None)at numba/np/arraymath.py:4034-4086
-
numpy.matlib.asarray_chkfinite()¶ Alias to:
numpy.asarray_chkfinitedefined by
np_asarray_chkfinite(a, dtype=None)at numba/np/arraymath.py:4181-4203
-
numpy.matlib.ascontiguousarray()¶ Alias to:
numpy.ascontiguousarraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.asfarray()¶ Alias to:
numpy.asfarraydefined by
np_asfarray(a, dtype=<class 'numpy.float64'>)at numba/np/arraymath.py:4089-4101
-
numpy.matlib.asfortranarray()¶ Alias to:
numpy.asfortranarraydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.atleast_1d()¶ Alias to:
numpy.atleast_1ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.atleast_2d()¶ Alias to:
numpy.atleast_2ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.atleast_3d()¶ Alias to:
numpy.atleast_3ddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.bartlett()¶ Alias to:
numpy.bartlettdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.matlib.bincount()¶ Alias to:
numpy.bincountdefined by
np_bincount(a, weights=None, minlength=0)at numba/np/arraymath.py:3461-3516
-
numpy.matlib.blackman()¶ Alias to:
numpy.blackmandefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.matlib.column_stack()¶ Alias to:
numpy.column_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.convolve()¶ Alias to:
numpy.convolvedefined by
np_convolve(a, v)at numba/np/arraymath.py:4010-4031
-
numpy.matlib.copy()¶ Alias to:
numpy.copydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.corrcoef()¶ Alias to:
numpy.corrcoefdefined by
np_corrcoef(x, y=None, rowvar=True)at numba/np/arraymath.py:2754-2784
-
numpy.matlib.correlate()¶ Alias to:
numpy.correlatedefined by
_np_correlate(a, v)at numba/np/arraymath.py:3962-4007
-
numpy.matlib.count_nonzero()¶ Alias to:
numpy.count_nonzerodefined by
np_count_nonzero(arr, axis=None)at numba/np/arraymath.py:3322-3336
-
numpy.matlib.cov()¶ Alias to:
numpy.covdefined by
np_cov(m, y=None, rowvar=True, bias=False, ddof=None)at numba/np/arraymath.py:2695-2751
-
numpy.matlib.cross()¶ Alias to:
numpy.crossdefined by
np_cross(a, b)at numba/np/arraymath.py:4420-4442
-
numpy.matlib.cumprod()¶ Alias to:
numpy.cumproddefined by
<class 'abc.Numpy_redirect_cumprod'>
-
numpy.matlib.cumsum()¶ Alias to:
numpy.cumsumdefined by
<class 'abc.Numpy_redirect_cumsum'>
-
numpy.matlib.delete()¶ Alias to:
numpy.deletedefined by
np_delete(arr, obj)at numba/np/arraymath.py:3343-3387
-
numpy.matlib.diag()¶ Alias to:
numpy.diagdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.diff()¶ Alias to:
numpy.diffdefined by
np_diff_impl(a, n=1)at numba/np/arraymath.py:3390-3426
-
numpy.matlib.digitize()¶ Alias to:
numpy.digitizedefined by
np_digitize(x, bins, right=False)at numba/np/arraymath.py:3584-3710
-
numpy.matlib.dot()¶ Alias to:
numpy.dotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.dstack()¶ Alias to:
numpy.dstackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.ediff1d()¶ Alias to:
numpy.ediff1ddefined by
np_ediff1d(ary, to_end=None, to_begin=None)at numba/np/arraymath.py:1743-1798
-
numpy.matlib.empty_like()¶ Alias to:
numpy.empty_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.expand_dims()¶ Alias to:
numpy.expand_dimsdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.extract()¶ Alias to:
numpy.extractdefined by
np_extract(condition, arr)at numba/np/arraymath.py:4104-4127
-
numpy.matlib.fill_diagonal()¶ Alias to:
numpy.fill_diagonaldefined by
np_fill_diagonal(a, val, wrap=False)at numba/np/arraymath.py:2928-2958
-
numpy.matlib.flatnonzero()¶ Alias to:
numpy.flatnonzerodefined by
np_flatnonzero(a)at numba/np/arraymath.py:2826-2841
-
numpy.matlib.flip()¶ Alias to:
numpy.flipdefined by
np_flip(a)at numba/np/arrayobj.py:4962-4973
-
numpy.matlib.fliplr()¶ Alias to:
numpy.fliplrdefined by
np_flip_lr(a)at numba/np/arrayobj.py:4900-4914
-
numpy.matlib.flipud()¶ Alias to:
numpy.flipuddefined by
np_flip_ud(a)at numba/np/arrayobj.py:4917-4931
-
numpy.matlib.frombuffer()¶ Alias to:
numpy.frombufferdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.full()¶ Alias to:
numpy.fulldefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.full_like()¶ Alias to:
numpy.full_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.hamming()¶ Alias to:
numpy.hammingdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.matlib.hanning()¶ Alias to:
numpy.hanningdefined by
window_generator.<locals>.window_overload(M)at numba/np/arraymath.py:4239-4251
-
numpy.matlib.histogram()¶ Alias to:
numpy.histogramdefined by
np_histogram(a, bins=10, range=None)at numba/np/arraymath.py:3716-3796
-
numpy.matlib.hstack()¶ Alias to:
numpy.hstackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.imag()¶ Alias to:
numpy.imagdefined by
np_imag(a)at numba/np/arraymath.py:3297-3302
-
numpy.matlib.interp()¶ Alias to:
numpy.interpdefined by
np_interp(x, xp, fp)at numba/np/arraymath.py:2446-2507
-
numpy.matlib.kaiser()¶ Alias to:
numpy.kaiserdefined by
np_kaiser(M, beta)at numba/np/arraymath.py:4357-4376
-
numpy.matlib.kron()¶ Alias to:
numpy.krondefined by
kron_impl(a, b)at numba/np/linalg.py:2710-2764
-
numpy.matlib.linspace()¶ Alias to:
numpy.linspacedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.mean()¶ Alias to:
numpy.meandefined by
<class 'abc.Numpy_redirect_mean'>
-
numpy.matlib.median()¶ Alias to:
numpy.mediandefined by
np_median(a)at numba/np/arraymath.py:1256-1268
-
numpy.matlib.nancumprod()¶ Alias to:
numpy.nancumproddefined by
np_nancumprod(a)at numba/np/arraymath.py:1001-1023
-
numpy.matlib.nancumsum()¶ Alias to:
numpy.nancumsumdefined by
np_nancumsum(a)at numba/np/arraymath.py:1026-1048
-
numpy.matlib.nanmax()¶ Alias to:
numpy.nanmaxdefined by
np_nanmax(a)at numba/np/arraymath.py:892-898
-
numpy.matlib.nanmean()¶ Alias to:
numpy.nanmeandefined by
np_nanmean(a)at numba/np/arraymath.py:901-918
-
numpy.matlib.nanmedian()¶ Alias to:
numpy.nanmediandefined by
np_nanmedian(a)at numba/np/arraymath.py:1440-1462
-
numpy.matlib.nanmin()¶ Alias to:
numpy.nanmindefined by
np_nanmin(a)at numba/np/arraymath.py:883-889
-
numpy.matlib.nanpercentile()¶ Alias to:
numpy.nanpercentiledefined by
np_nanpercentile(a, q)at numba/np/arraymath.py:1419-1423
-
numpy.matlib.nanprod()¶ Alias to:
numpy.nanproddefined by
np_nanprod(a)at numba/np/arraymath.py:979-998
-
numpy.matlib.nanquantile()¶ Alias to:
numpy.nanquantiledefined by
np_nanquantile(a, q)at numba/np/arraymath.py:1433-1437
-
numpy.matlib.nanstd()¶ Alias to:
numpy.nanstddefined by
np_nanstd(a)at numba/np/arraymath.py:946-954
-
numpy.matlib.nansum()¶ Alias to:
numpy.nansumdefined by
np_nansum(a)at numba/np/arraymath.py:957-976
-
numpy.matlib.nanvar()¶ Alias to:
numpy.nanvardefined by
np_nanvar(a)at numba/np/arraymath.py:921-943
-
numpy.matlib.nonzero()¶ Alias to:
numpy.nonzerodefined by
<class 'abc.Numpy_redirect_nonzero'>
-
numpy.matlib.ones_like()¶ Alias to:
numpy.ones_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.outer()¶ Alias to:
numpy.outerdefined by
outer_impl(a, b, out=None)at numba/np/linalg.py:2633-2644
-
numpy.matlib.partition()¶ Alias to:
numpy.partitiondefined by
np_partition(a, kth)at numba/np/arraymath.py:1521-1543
-
numpy.matlib.percentile()¶ Alias to:
numpy.percentiledefined by
np_percentile(a, q)at numba/np/arraymath.py:1412-1416
-
numpy.matlib.prod()¶ Alias to:
numpy.proddefined by
<class 'abc.Numpy_redirect_prod'>
-
numpy.matlib.ptp()¶ Alias to:
numpy.ptpdefined by
np_ptp(a)at numba/np/arraymath.py:1110-1136
-
numpy.matlib.quantile()¶ Alias to:
numpy.quantiledefined by
np_quantile(a, q)at numba/np/arraymath.py:1426-1430
-
numpy.matlib.ravel()¶ Alias to:
numpy.raveldefined by
<class 'abc.Numpy_redirect_ravel'>
-
numpy.matlib.real()¶ Alias to:
numpy.realdefined by
np_real(a)at numba/np/arraymath.py:3289-3294
-
numpy.matlib.repeat()¶ Alias to:
numpy.repeatdefined by
np_repeat(a, repeats)at numba/np/arrayobj.py:1925-1967
-
numpy.matlib.reshape()¶ Alias to:
numpy.reshapedefined by
np_reshape(a, shape)at numba/np/arrayobj.py:1702-1706
-
numpy.matlib.roll()¶ Alias to:
numpy.rolldefined by
np_roll(a, shift)at numba/np/arraymath.py:1933-1953
-
numpy.matlib.roots()¶ Alias to:
numpy.rootsdefined by
roots_impl(p)at numba/np/polynomial.py:14-59
-
numpy.matlib.round_()¶ Alias to:
numpy.rounddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.row_stack()¶ Alias to:
numpy.row_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.searchsorted()¶ Alias to:
numpy.searchsorteddefined by
searchsorted(a, v, side='left')at numba/np/arraymath.py:3549-3581
-
numpy.matlib.select()¶ Alias to:
numpy.selectdefined by
np_select(condlist, choicelist, default=0)at numba/np/arraymath.py:4130-4178
-
numpy.matlib.shape()¶ Alias to:
numpy.shapedefined by
np_shape(a)at numba/np/arrayobj.py:1903-1910
-
numpy.matlib.sinc()¶ Alias to:
numpy.sincdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.sort()¶ Alias to:
numpy.sortdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.split()¶ Alias to:
numpy.splitdefined by
np_split(ary, indices_or_sections, axis=0)at numba/np/arrayobj.py:5037-5061
-
numpy.matlib.stack()¶ Alias to:
numpy.stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.std()¶ Alias to:
numpy.stddefined by
<class 'abc.Numpy_redirect_std'>
-
numpy.matlib.sum()¶ Alias to:
numpy.sumdefined by
<class 'abc.Numpy_redirect_sum'>
-
numpy.matlib.take()¶ Alias to:
numpy.takedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.trace()¶ Alias to:
numpy.tracedefined by
matrix_trace_impl(a, offset=0)at numba/np/linalg.py:2567-2595
-
numpy.matlib.transpose()¶ Alias to:
numpy.transposedefined by
numpy_transpose(a, axes=None)at numba/np/arrayobj.py:1530-1542
-
numpy.matlib.trapz()¶ Alias to:
numpy.trapzdefined by
np_trapz(y, x=None, dx=1.0)at numba/np/arraymath.py:1835-1854
-
numpy.matlib.tri()¶ Alias to:
numpy.tridefined by
np_tri(N, M=None, k=0)at numba/np/arraymath.py:1562-1573
-
numpy.matlib.tril()¶ Alias to:
numpy.trildefined by
my_tril(m, k=0)at numba/np/arraymath.py:1599-1623
-
numpy.matlib.tril_indices()¶ Alias to:
numpy.tril_indicesdefined by
np_tril_indices(n, k=0, m=None)at numba/np/arraymath.py:1626-1637
-
numpy.matlib.tril_indices_from()¶ Alias to:
numpy.tril_indices_fromdefined by
np_tril_indices_from(arr, k=0)at numba/np/arraymath.py:1640-1651
-
numpy.matlib.triu()¶ Alias to:
numpy.triudefined by
my_triu(m, k=0)at numba/np/arraymath.py:1660-1683
-
numpy.matlib.triu_indices()¶ Alias to:
numpy.triu_indicesdefined by
np_triu_indices(n, k=0, m=None)at numba/np/arraymath.py:1686-1697
-
numpy.matlib.triu_indices_from()¶ Alias to:
numpy.triu_indices_fromdefined by
np_triu_indices_from(arr, k=0)at numba/np/arraymath.py:1700-1711
-
numpy.matlib.unique()¶ Alias to:
numpy.uniquedefined by
np_unique(a)at numba/np/arrayobj.py:1915-1922
-
numpy.matlib.vander()¶ Alias to:
numpy.vanderdefined by
np_vander(x, N=None, increasing=False)at numba/np/arraymath.py:1893-1930
-
numpy.matlib.var()¶ Alias to:
numpy.vardefined by
<class 'abc.Numpy_redirect_var'>
-
numpy.matlib.vdot()¶ Alias to:
numpy.vdotdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.vstack()¶ Alias to:
numpy.row_stackdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.where()¶ Alias to:
numpy.wheredefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matlib.zeros_like()¶ Alias to:
numpy.zeros_likedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 198 unsupported functions.
supported = 121 / 319 = 37.93%
numpy.matrixlib¶
This module is not supported.
numpy.matrixlib.defmatrix¶
-
numpy.matrixlib.defmatrix.concatenate()¶ Alias to:
numpy.concatenatedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.matrixlib.defmatrix.matrix_power()¶ Alias to:
numpy.linalg.matrix_powerdefined by
matrix_power_impl(a, n)at numba/np/linalg.py:2486-2562
Not showing 5 unsupported functions.
supported = 2 / 7 = 28.57%
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
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.binomial()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.chisquare()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.choice()¶ defined by
choice(a, size=None, replace=True)at numba/cpython/randomimpl.py:1346-1427
-
numpy.random.exponential()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.f()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.gamma()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.geometric()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.gumbel()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.hypergeometric()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.laplace()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.logistic()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.lognormal()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.logseries()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.multinomial()¶ defined by
multinomial(n, pvals, size=None)at numba/cpython/randomimpl.py:1433-1508
-
numpy.random.negative_binomial()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.normal()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.pareto()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.permutation()¶ defined by
permutation_impl(x)at numba/cpython/randomimpl.py:1231-1245
-
numpy.random.poisson()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.power()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.rand()¶ defined by
rand(*size)at numba/cpython/randomimpl.py:1314-1326
-
numpy.random.randint()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.randn()¶ defined by
randn(*size)at numba/cpython/randomimpl.py:1328-1340
-
numpy.random.random()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.random_sample()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.ranf()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.rayleigh()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.sample()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.seed()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.shuffle()¶ defined by
shuffle_impl(arr)at numba/cpython/randomimpl.py:1227-1229
-
numpy.random.standard_cauchy()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.standard_exponential()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.standard_gamma()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.standard_normal()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.standard_t()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.triangular()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.uniform()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.vonmises()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.wald()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.weibull()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.zipf()¶ defined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 9 unsupported functions.
supported = 42 / 51 = 82.35%
numpy.random.bit_generator¶
This module is not supported.
numpy.random.mtrand¶
-
numpy.random.mtrand.beta()¶ Alias to:
numpy.random.betadefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.binomial()¶ Alias to:
numpy.random.binomialdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.chisquare()¶ Alias to:
numpy.random.chisquaredefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.choice()¶ Alias to:
numpy.random.choicedefined by
choice(a, size=None, replace=True)at numba/cpython/randomimpl.py:1346-1427
-
numpy.random.mtrand.exponential()¶ Alias to:
numpy.random.exponentialdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.f()¶ Alias to:
numpy.random.fdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.gamma()¶ Alias to:
numpy.random.gammadefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.geometric()¶ Alias to:
numpy.random.geometricdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.gumbel()¶ Alias to:
numpy.random.gumbeldefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.hypergeometric()¶ Alias to:
numpy.random.hypergeometricdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.laplace()¶ Alias to:
numpy.random.laplacedefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.logistic()¶ Alias to:
numpy.random.logisticdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.lognormal()¶ Alias to:
numpy.random.lognormaldefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.logseries()¶ Alias to:
numpy.random.logseriesdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.multinomial()¶ Alias to:
numpy.random.multinomialdefined by
multinomial(n, pvals, size=None)at numba/cpython/randomimpl.py:1433-1508
-
numpy.random.mtrand.negative_binomial()¶ Alias to:
numpy.random.negative_binomialdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.normal()¶ Alias to:
numpy.random.normaldefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.pareto()¶ Alias to:
numpy.random.paretodefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.permutation()¶ Alias to:
numpy.random.permutationdefined by
permutation_impl(x)at numba/cpython/randomimpl.py:1231-1245
-
numpy.random.mtrand.poisson()¶ Alias to:
numpy.random.poissondefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.power()¶ Alias to:
numpy.random.powerdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.rand()¶ Alias to:
numpy.random.randdefined by
rand(*size)at numba/cpython/randomimpl.py:1314-1326
-
numpy.random.mtrand.randint()¶ Alias to:
numpy.random.randintdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.randn()¶ Alias to:
numpy.random.randndefined by
randn(*size)at numba/cpython/randomimpl.py:1328-1340
-
numpy.random.mtrand.random()¶ Alias to:
numpy.random.randomdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.random_sample()¶ Alias to:
numpy.random.random_sampledefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.ranf()¶ Alias to:
numpy.random.ranfdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.rayleigh()¶ Alias to:
numpy.random.rayleighdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.sample()¶ Alias to:
numpy.random.sampledefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.seed()¶ Alias to:
numpy.random.seeddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.shuffle()¶ Alias to:
numpy.random.shuffledefined by
shuffle_impl(arr)at numba/cpython/randomimpl.py:1227-1229
-
numpy.random.mtrand.standard_cauchy()¶ Alias to:
numpy.random.standard_cauchydefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.standard_exponential()¶ Alias to:
numpy.random.standard_exponentialdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.standard_gamma()¶ Alias to:
numpy.random.standard_gammadefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.standard_normal()¶ Alias to:
numpy.random.standard_normaldefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.standard_t()¶ Alias to:
numpy.random.standard_tdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.triangular()¶ Alias to:
numpy.random.triangulardefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.uniform()¶ Alias to:
numpy.random.uniformdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.vonmises()¶ Alias to:
numpy.random.vonmisesdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.wald()¶ Alias to:
numpy.random.walddefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.weibull()¶ Alias to:
numpy.random.weibulldefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
-
numpy.random.mtrand.zipf()¶ Alias to:
numpy.random.zipfdefined by
<class 'numba.core.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 8 unsupported functions.
supported = 42 / 50 = 84.00%
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.version¶
This module is not supported.