numpy.
all
()¶np_all(a)
at numba/targets/arraymath.py:634-643numpy.
amax
()¶<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.
amin
()¶<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.
angle
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
any
()¶np_any(a)
at numba/targets/arraymath.py:646-655numpy.
append
()¶np_append(arr, values, axis=None)
at numba/targets/arrayobj.py:1696-1719numpy.
arange
()¶np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.
argmax
()¶<class 'numba.typing.npydecl.Numpy_redirect_argmax'>
numpy.
argmin
()¶<class 'numba.typing.npydecl.Numpy_redirect_argmin'>
numpy.
argsort
()¶<class 'numba.typing.npydecl.Numpy_redirect_argsort'>
numpy.
argwhere
()¶np_argwhere(a)
at numba/targets/arraymath.py:2665-2679numpy.
around
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
array
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
array_equal
()¶np_array_equal(a, b)
at numba/targets/arraymath.py:3280-3299numpy.
asarray
()¶np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.
ascontiguousarray
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
asfortranarray
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
atleast_1d
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
atleast_2d
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
atleast_3d
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
bartlett
()¶window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.
bincount
()¶np_bincount(a, weights=None)
at numba/targets/arraymath.py:3312-3361numpy.
blackman
()¶window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.
column_stack
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
concatenate
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
convolve
()¶np_convolve(a, v)
at numba/targets/arraymath.py:3849-3870numpy.
copy
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
corrcoef
()¶np_corrcoef(x, y=None, rowvar=True)
at numba/targets/arraymath.py:2629-2659numpy.
correlate
()¶_np_correlate(a, v)
at numba/targets/arraymath.py:3810-3846numpy.
count_nonzero
()¶np_count_nonzero(arr, axis=None)
at numba/targets/arraymath.py:3170-3187numpy.
cov
()¶np_cov(m, y=None, rowvar=True, bias=False, ddof=None)
at numba/targets/arraymath.py:2570-2627numpy.
cross
()¶np_cross(a, b)
at numba/targets/arraymath.py:4200-4222numpy.
cumprod
()¶<class 'numba.typing.npydecl.Numpy_redirect_cumprod'>
numpy.
cumsum
()¶<class 'numba.typing.npydecl.Numpy_redirect_cumsum'>
numpy.
delete
()¶np_delete(arr, obj)
at numba/targets/arraymath.py:3194-3238numpy.
diag
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
diff
()¶np_diff_impl(a, n=1)
at numba/targets/arraymath.py:3241-3277numpy.
digitize
()¶np_digitize(x, bins, right=False)
at numba/targets/arraymath.py:3429-3555numpy.
dot
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
dstack
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
ediff1d
()¶np_ediff1d(ary, to_end=None, to_begin=None)
at numba/targets/arraymath.py:1610-1665numpy.
empty
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
empty_like
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
expand_dims
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
extract
()¶np_extract(condition, arr)
at numba/targets/arraymath.py:3909-3932numpy.
eye
()¶numpy_eye(N, M=None, k=0, dtype=<class 'float'>)
at numba/targets/arrayobj.py:3674-3697numpy.
fill_diagonal
()¶np_fill_diagonal(a, val, wrap=False)
at numba/targets/arraymath.py:2790-2820numpy.
flatnonzero
()¶np_flatnonzero(a)
at numba/targets/arraymath.py:2682-2703numpy.
frombuffer
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
full
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
full_like
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
hamming
()¶window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.
hanning
()¶window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.
histogram
()¶np_histogram(a, bins=10, range=None)
at numba/targets/arraymath.py:3561-3641numpy.
hstack
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
identity
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
imag
()¶np_imag(a)
at numba/targets/arraymath.py:3159-3164numpy.
interp
()¶np_interp(x, xp, fp)
at numba/targets/arraymath.py:2314-2380numpy.
kaiser
()¶np_kaiser(M, beta)
at numba/targets/arraymath.py:4137-4156numpy.
kron
()¶kron_impl(a, b)
at numba/targets/linalg.py:2746-2800numpy.
linspace
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
max
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.
mean
()¶<class 'numba.typing.npydecl.Numpy_redirect_mean'>
numpy.
median
()¶np_median(a)
at numba/targets/arraymath.py:1111-1123numpy.
min
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.
nancumprod
()¶np_nancumprod(a)
at numba/targets/arraymath.py:858-880numpy.
nancumsum
()¶np_nancumsum(a)
at numba/targets/arraymath.py:882-904numpy.
nanmax
()¶np_nanmax(a)
at numba/targets/arraymath.py:749-755numpy.
nanmean
()¶np_nanmean(a)
at numba/targets/arraymath.py:759-776numpy.
nanmedian
()¶np_nanmedian(a)
at numba/targets/arraymath.py:1306-1328numpy.
nanmin
()¶np_nanmin(a)
at numba/targets/arraymath.py:740-746numpy.
nanpercentile
()¶np_nanpercentile(a, q)
at numba/targets/arraymath.py:1279-1286numpy.
nanprod
()¶np_nanprod(a)
at numba/targets/arraymath.py:836-855numpy.
nanquantile
()¶np_nanquantile(a, q)
at numba/targets/arraymath.py:1298-1302numpy.
nanstd
()¶np_nanstd(a)
at numba/targets/arraymath.py:802-810numpy.
nansum
()¶np_nansum(a)
at numba/targets/arraymath.py:813-832numpy.
nanvar
()¶np_nanvar(a)
at numba/targets/arraymath.py:778-800numpy.
nonzero
()¶<class 'numba.typing.npydecl.Numpy_redirect_nonzero'>
numpy.
ones
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
ones_like
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
outer
()¶outer_impl(a, b, out=None)
at numba/targets/linalg.py:2656-2667numpy.
partition
()¶np_partition(a, kth)
at numba/targets/arraymath.py:1387-1409numpy.
percentile
()¶np_percentile(a, q)
at numba/targets/arraymath.py:1268-1275numpy.
prod
()¶<class 'numba.typing.npydecl.Numpy_redirect_prod'>
numpy.
ptp
()¶np_ptp(a)
at numba/targets/arraymath.py:966-991numpy.
quantile
()¶np_quantile(a, q)
at numba/targets/arraymath.py:1290-1294numpy.
ravel
()¶<class 'numba.typing.npydecl.Numpy_redirect_ravel'>
numpy.
real
()¶np_real(a)
at numba/targets/arraymath.py:3151-3156numpy.
repeat
()¶np_repeat(a, repeats)
at numba/targets/arrayobj.py:1912-1954numpy.
reshape
()¶np_reshape(a, shape)
at numba/targets/arrayobj.py:1689-1693numpy.
roll
()¶np_roll(a, shift)
at numba/targets/arraymath.py:1800-1820numpy.
roots
()¶roots_impl(p)
at numba/targets/polynomial.py:14-59numpy.
round
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
round_
()¶Alias to: numpy.round
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
row_stack
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
searchsorted
()¶searchsorted(a, v, side='left')
at numba/targets/arraymath.py:3394-3426numpy.
select
()¶np_select(condlist, choicelist, default=0)
at numba/targets/arraymath.py:3935-3983numpy.
shape
()¶np_shape(a)
at numba/targets/arrayobj.py:1890-1897numpy.
sinc
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
sort
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
stack
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
std
()¶<class 'numba.typing.npydecl.Numpy_redirect_std'>
numpy.
sum
()¶<class 'numba.typing.npydecl.Numpy_redirect_sum'>
numpy.
take
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
trace
()¶matrix_trace_impl(a, offset=0)
at numba/targets/linalg.py:2577-2605numpy.
transpose
()¶numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529numpy.
trapz
()¶np_trapz(y, x=None, dx=1.0)
at numba/targets/arraymath.py:1702-1721numpy.
tri
()¶np_tri(N, M=None, k=0)
at numba/targets/arraymath.py:1428-1439numpy.
tril
()¶my_tril(m, k=0)
at numba/targets/arraymath.py:1465-1489numpy.
tril_indices
()¶np_tril_indices(n, k=0, m=None)
at numba/targets/arraymath.py:1492-1503numpy.
tril_indices_from
()¶np_tril_indices_from(arr, k=0)
at numba/targets/arraymath.py:1506-1517numpy.
triu
()¶my_triu(m, k=0)
at numba/targets/arraymath.py:1526-1549numpy.
triu_indices
()¶np_triu_indices(n, k=0, m=None)
at numba/targets/arraymath.py:1552-1563numpy.
triu_indices_from
()¶np_triu_indices_from(arr, k=0)
at numba/targets/arraymath.py:1566-1577numpy.
unique
()¶np_unique(a)
at numba/targets/arrayobj.py:1902-1909numpy.
vander
()¶np_vander(x, N=None, increasing=False)
at numba/targets/arraymath.py:1760-1797numpy.
var
()¶<class 'numba.typing.npydecl.Numpy_redirect_var'>
numpy.
vdot
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
vstack
()¶Alias to: numpy.row_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
where
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
zeros
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.
zeros_like
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 199 unsupported functions.
supported = 122 / 321 = 38.01%
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
numpy.core.
all
()¶Alias to: numpy.all
np_all(a)
at numba/targets/arraymath.py:634-643numpy.core.
amax
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.core.
amin
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.core.
any
()¶Alias to: numpy.any
np_any(a)
at numba/targets/arraymath.py:646-655numpy.core.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.core.
argmax
()¶Alias to: numpy.argmax
<class 'numba.typing.npydecl.Numpy_redirect_argmax'>
numpy.core.
argmin
()¶Alias to: numpy.argmin
<class 'numba.typing.npydecl.Numpy_redirect_argmin'>
numpy.core.
argsort
()¶Alias to: numpy.argsort
<class 'numba.typing.npydecl.Numpy_redirect_argsort'>
numpy.core.
argwhere
()¶Alias to: numpy.argwhere
np_argwhere(a)
at numba/targets/arraymath.py:2665-2679numpy.core.
around
()¶Alias to: numpy.around
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
array_equal
()¶Alias to: numpy.array_equal
np_array_equal(a, b)
at numba/targets/arraymath.py:3280-3299numpy.core.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.core.
ascontiguousarray
()¶Alias to: numpy.ascontiguousarray
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
asfortranarray
()¶Alias to: numpy.asfortranarray
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
atleast_1d
()¶Alias to: numpy.atleast_1d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
atleast_2d
()¶Alias to: numpy.atleast_2d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
atleast_3d
()¶Alias to: numpy.atleast_3d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
convolve
()¶Alias to: numpy.convolve
np_convolve(a, v)
at numba/targets/arraymath.py:3849-3870numpy.core.
correlate
()¶Alias to: numpy.correlate
_np_correlate(a, v)
at numba/targets/arraymath.py:3810-3846numpy.core.
count_nonzero
()¶Alias to: numpy.count_nonzero
np_count_nonzero(arr, axis=None)
at numba/targets/arraymath.py:3170-3187numpy.core.
cross
()¶Alias to: numpy.cross
np_cross(a, b)
at numba/targets/arraymath.py:4200-4222numpy.core.
cumprod
()¶Alias to: numpy.cumprod
<class 'numba.typing.npydecl.Numpy_redirect_cumprod'>
numpy.core.
cumsum
()¶Alias to: numpy.cumsum
<class 'numba.typing.npydecl.Numpy_redirect_cumsum'>
numpy.core.
dot
()¶Alias to: numpy.dot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
empty_like
()¶Alias to: numpy.empty_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
flatnonzero
()¶Alias to: numpy.flatnonzero
np_flatnonzero(a)
at numba/targets/arraymath.py:2682-2703numpy.core.
frombuffer
()¶Alias to: numpy.frombuffer
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
full
()¶Alias to: numpy.full
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
full_like
()¶Alias to: numpy.full_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
hstack
()¶Alias to: numpy.hstack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
identity
()¶Alias to: numpy.identity
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
linspace
()¶Alias to: numpy.linspace
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
max
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.core.
mean
()¶Alias to: numpy.mean
<class 'numba.typing.npydecl.Numpy_redirect_mean'>
numpy.core.
min
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.core.
nonzero
()¶Alias to: numpy.nonzero
<class 'numba.typing.npydecl.Numpy_redirect_nonzero'>
numpy.core.
ones
()¶Alias to: numpy.ones
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
ones_like
()¶Alias to: numpy.ones_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
outer
()¶Alias to: numpy.outer
outer_impl(a, b, out=None)
at numba/targets/linalg.py:2656-2667numpy.core.
partition
()¶Alias to: numpy.partition
np_partition(a, kth)
at numba/targets/arraymath.py:1387-1409numpy.core.
prod
()¶Alias to: numpy.prod
<class 'numba.typing.npydecl.Numpy_redirect_prod'>
numpy.core.
ptp
()¶Alias to: numpy.ptp
np_ptp(a)
at numba/targets/arraymath.py:966-991numpy.core.
ravel
()¶Alias to: numpy.ravel
<class 'numba.typing.npydecl.Numpy_redirect_ravel'>
numpy.core.
repeat
()¶Alias to: numpy.repeat
np_repeat(a, repeats)
at numba/targets/arrayobj.py:1912-1954numpy.core.
reshape
()¶Alias to: numpy.reshape
np_reshape(a, shape)
at numba/targets/arrayobj.py:1689-1693numpy.core.
roll
()¶Alias to: numpy.roll
np_roll(a, shift)
at numba/targets/arraymath.py:1800-1820numpy.core.
round
()¶Alias to: numpy.round
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
round_
()¶Alias to: numpy.round
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
searchsorted
()¶Alias to: numpy.searchsorted
searchsorted(a, v, side='left')
at numba/targets/arraymath.py:3394-3426numpy.core.
shape
()¶Alias to: numpy.shape
np_shape(a)
at numba/targets/arrayobj.py:1890-1897numpy.core.
sort
()¶Alias to: numpy.sort
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
stack
()¶Alias to: numpy.stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
std
()¶Alias to: numpy.std
<class 'numba.typing.npydecl.Numpy_redirect_std'>
numpy.core.
sum
()¶Alias to: numpy.sum
<class 'numba.typing.npydecl.Numpy_redirect_sum'>
numpy.core.
take
()¶Alias to: numpy.take
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
trace
()¶Alias to: numpy.trace
matrix_trace_impl(a, offset=0)
at numba/targets/linalg.py:2577-2605numpy.core.
transpose
()¶Alias to: numpy.transpose
numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529numpy.core.
var
()¶Alias to: numpy.var
<class 'numba.typing.npydecl.Numpy_redirect_var'>
numpy.core.
vdot
()¶Alias to: numpy.vdot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
vstack
()¶Alias to: numpy.row_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
where
()¶Alias to: numpy.where
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.
zeros_like
()¶Alias to: numpy.zeros_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 85 unsupported functions.
supported = 66 / 151 = 43.71%
numpy.core.arrayprint.
any
()¶Alias to: numpy.any
np_any(a)
at numba/targets/arraymath.py:646-655numpy.core.arrayprint.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.arrayprint.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.core.arrayprint.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.arrayprint.
ravel
()¶Alias to: numpy.ravel
<class 'numba.typing.npydecl.Numpy_redirect_ravel'>
Not showing 21 unsupported functions.
supported = 5 / 26 = 19.23%
numpy.core.defchararray.
narray
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 54 unsupported functions.
supported = 1 / 55 = 1.82%
This module is not supported.
numpy.core.fromnumeric.
all
()¶Alias to: numpy.all
np_all(a)
at numba/targets/arraymath.py:634-643numpy.core.fromnumeric.
amax
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.core.fromnumeric.
amin
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.core.fromnumeric.
any
()¶Alias to: numpy.any
np_any(a)
at numba/targets/arraymath.py:646-655numpy.core.fromnumeric.
argmax
()¶Alias to: numpy.argmax
<class 'numba.typing.npydecl.Numpy_redirect_argmax'>
numpy.core.fromnumeric.
argmin
()¶Alias to: numpy.argmin
<class 'numba.typing.npydecl.Numpy_redirect_argmin'>
numpy.core.fromnumeric.
argsort
()¶Alias to: numpy.argsort
<class 'numba.typing.npydecl.Numpy_redirect_argsort'>
numpy.core.fromnumeric.
around
()¶Alias to: numpy.around
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.fromnumeric.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.fromnumeric.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.core.fromnumeric.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.fromnumeric.
cumprod
()¶Alias to: numpy.cumprod
<class 'numba.typing.npydecl.Numpy_redirect_cumprod'>
numpy.core.fromnumeric.
cumsum
()¶Alias to: numpy.cumsum
<class 'numba.typing.npydecl.Numpy_redirect_cumsum'>
numpy.core.fromnumeric.
mean
()¶Alias to: numpy.mean
<class 'numba.typing.npydecl.Numpy_redirect_mean'>
numpy.core.fromnumeric.
nonzero
()¶Alias to: numpy.nonzero
<class 'numba.typing.npydecl.Numpy_redirect_nonzero'>
numpy.core.fromnumeric.
partition
()¶Alias to: numpy.partition
np_partition(a, kth)
at numba/targets/arraymath.py:1387-1409numpy.core.fromnumeric.
prod
()¶Alias to: numpy.prod
<class 'numba.typing.npydecl.Numpy_redirect_prod'>
numpy.core.fromnumeric.
ptp
()¶Alias to: numpy.ptp
np_ptp(a)
at numba/targets/arraymath.py:966-991numpy.core.fromnumeric.
ravel
()¶Alias to: numpy.ravel
<class 'numba.typing.npydecl.Numpy_redirect_ravel'>
numpy.core.fromnumeric.
repeat
()¶Alias to: numpy.repeat
np_repeat(a, repeats)
at numba/targets/arrayobj.py:1912-1954numpy.core.fromnumeric.
reshape
()¶Alias to: numpy.reshape
np_reshape(a, shape)
at numba/targets/arrayobj.py:1689-1693numpy.core.fromnumeric.
round_
()¶Alias to: numpy.round
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.fromnumeric.
searchsorted
()¶Alias to: numpy.searchsorted
searchsorted(a, v, side='left')
at numba/targets/arraymath.py:3394-3426numpy.core.fromnumeric.
shape
()¶Alias to: numpy.shape
np_shape(a)
at numba/targets/arrayobj.py:1890-1897numpy.core.fromnumeric.
sort
()¶Alias to: numpy.sort
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.fromnumeric.
std
()¶Alias to: numpy.std
<class 'numba.typing.npydecl.Numpy_redirect_std'>
numpy.core.fromnumeric.
sum
()¶Alias to: numpy.sum
<class 'numba.typing.npydecl.Numpy_redirect_sum'>
numpy.core.fromnumeric.
take
()¶Alias to: numpy.take
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.fromnumeric.
trace
()¶Alias to: numpy.trace
matrix_trace_impl(a, offset=0)
at numba/targets/linalg.py:2577-2605numpy.core.fromnumeric.
transpose
()¶Alias to: numpy.transpose
numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529numpy.core.fromnumeric.
var
()¶Alias to: numpy.var
<class 'numba.typing.npydecl.Numpy_redirect_var'>
Not showing 18 unsupported functions.
supported = 31 / 49 = 63.27%
numpy.core.function_base.
linspace
()¶Alias to: numpy.linspace
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 7 unsupported functions.
supported = 1 / 8 = 12.50%
numpy.core.getlimits.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 1 unsupported functions.
supported = 1 / 2 = 50.00%
This module is not supported.
numpy.core.machar.
any
()¶Alias to: numpy.any
np_any(a)
at numba/targets/arraymath.py:646-655Not showing 1 unsupported functions.
supported = 1 / 2 = 50.00%
numpy.core.multiarray.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.core.multiarray.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.multiarray.
bincount
()¶Alias to: numpy.bincount
np_bincount(a, weights=None)
at numba/targets/arraymath.py:3312-3361numpy.core.multiarray.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.multiarray.
dot
()¶Alias to: numpy.dot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.multiarray.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.multiarray.
empty_like
()¶Alias to: numpy.empty_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.multiarray.
frombuffer
()¶Alias to: numpy.frombuffer
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.multiarray.
vdot
()¶Alias to: numpy.vdot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.multiarray.
where
()¶Alias to: numpy.where
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.multiarray.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 47 unsupported functions.
supported = 11 / 58 = 18.97%
numpy.core.numeric.
all
()¶Alias to: numpy.all
np_all(a)
at numba/targets/arraymath.py:634-643numpy.core.numeric.
amax
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.core.numeric.
amin
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.core.numeric.
any
()¶Alias to: numpy.any
np_any(a)
at numba/targets/arraymath.py:646-655numpy.core.numeric.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.core.numeric.
argmax
()¶Alias to: numpy.argmax
<class 'numba.typing.npydecl.Numpy_redirect_argmax'>
numpy.core.numeric.
argmin
()¶Alias to: numpy.argmin
<class 'numba.typing.npydecl.Numpy_redirect_argmin'>
numpy.core.numeric.
argsort
()¶Alias to: numpy.argsort
<class 'numba.typing.npydecl.Numpy_redirect_argsort'>
numpy.core.numeric.
argwhere
()¶Alias to: numpy.argwhere
np_argwhere(a)
at numba/targets/arraymath.py:2665-2679numpy.core.numeric.
around
()¶Alias to: numpy.around
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
array_equal
()¶Alias to: numpy.array_equal
np_array_equal(a, b)
at numba/targets/arraymath.py:3280-3299numpy.core.numeric.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.core.numeric.
ascontiguousarray
()¶Alias to: numpy.ascontiguousarray
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
asfortranarray
()¶Alias to: numpy.asfortranarray
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
convolve
()¶Alias to: numpy.convolve
np_convolve(a, v)
at numba/targets/arraymath.py:3849-3870numpy.core.numeric.
correlate
()¶Alias to: numpy.correlate
_np_correlate(a, v)
at numba/targets/arraymath.py:3810-3846numpy.core.numeric.
count_nonzero
()¶Alias to: numpy.count_nonzero
np_count_nonzero(arr, axis=None)
at numba/targets/arraymath.py:3170-3187numpy.core.numeric.
cross
()¶Alias to: numpy.cross
np_cross(a, b)
at numba/targets/arraymath.py:4200-4222numpy.core.numeric.
cumprod
()¶Alias to: numpy.cumprod
<class 'numba.typing.npydecl.Numpy_redirect_cumprod'>
numpy.core.numeric.
cumsum
()¶Alias to: numpy.cumsum
<class 'numba.typing.npydecl.Numpy_redirect_cumsum'>
numpy.core.numeric.
dot
()¶Alias to: numpy.dot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
empty_like
()¶Alias to: numpy.empty_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
flatnonzero
()¶Alias to: numpy.flatnonzero
np_flatnonzero(a)
at numba/targets/arraymath.py:2682-2703numpy.core.numeric.
frombuffer
()¶Alias to: numpy.frombuffer
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
full
()¶Alias to: numpy.full
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
full_like
()¶Alias to: numpy.full_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
identity
()¶Alias to: numpy.identity
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
mean
()¶Alias to: numpy.mean
<class 'numba.typing.npydecl.Numpy_redirect_mean'>
numpy.core.numeric.
nonzero
()¶Alias to: numpy.nonzero
<class 'numba.typing.npydecl.Numpy_redirect_nonzero'>
numpy.core.numeric.
ones
()¶Alias to: numpy.ones
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
ones_like
()¶Alias to: numpy.ones_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
outer
()¶Alias to: numpy.outer
outer_impl(a, b, out=None)
at numba/targets/linalg.py:2656-2667numpy.core.numeric.
partition
()¶Alias to: numpy.partition
np_partition(a, kth)
at numba/targets/arraymath.py:1387-1409numpy.core.numeric.
prod
()¶Alias to: numpy.prod
<class 'numba.typing.npydecl.Numpy_redirect_prod'>
numpy.core.numeric.
ptp
()¶Alias to: numpy.ptp
np_ptp(a)
at numba/targets/arraymath.py:966-991numpy.core.numeric.
ravel
()¶Alias to: numpy.ravel
<class 'numba.typing.npydecl.Numpy_redirect_ravel'>
numpy.core.numeric.
repeat
()¶Alias to: numpy.repeat
np_repeat(a, repeats)
at numba/targets/arrayobj.py:1912-1954numpy.core.numeric.
reshape
()¶Alias to: numpy.reshape
np_reshape(a, shape)
at numba/targets/arrayobj.py:1689-1693numpy.core.numeric.
roll
()¶Alias to: numpy.roll
np_roll(a, shift)
at numba/targets/arraymath.py:1800-1820numpy.core.numeric.
round_
()¶Alias to: numpy.round
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
searchsorted
()¶Alias to: numpy.searchsorted
searchsorted(a, v, side='left')
at numba/targets/arraymath.py:3394-3426numpy.core.numeric.
shape
()¶Alias to: numpy.shape
np_shape(a)
at numba/targets/arrayobj.py:1890-1897numpy.core.numeric.
sort
()¶Alias to: numpy.sort
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
std
()¶Alias to: numpy.std
<class 'numba.typing.npydecl.Numpy_redirect_std'>
numpy.core.numeric.
sum
()¶Alias to: numpy.sum
<class 'numba.typing.npydecl.Numpy_redirect_sum'>
numpy.core.numeric.
take
()¶Alias to: numpy.take
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
trace
()¶Alias to: numpy.trace
matrix_trace_impl(a, offset=0)
at numba/targets/linalg.py:2577-2605numpy.core.numeric.
transpose
()¶Alias to: numpy.transpose
numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529numpy.core.numeric.
var
()¶Alias to: numpy.var
<class 'numba.typing.npydecl.Numpy_redirect_var'>
numpy.core.numeric.
vdot
()¶Alias to: numpy.vdot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
where
()¶Alias to: numpy.where
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numeric.
zeros_like
()¶Alias to: numpy.zeros_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 84 unsupported functions.
supported = 56 / 140 = 40.00%
numpy.core.numerictypes.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.numerictypes.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 18 unsupported functions.
supported = 2 / 20 = 10.00%
This module is not supported.
This module is not supported.
This module is not supported.
numpy.core.shape_base.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.shape_base.
atleast_1d
()¶Alias to: numpy.atleast_1d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.shape_base.
atleast_2d
()¶Alias to: numpy.atleast_2d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.shape_base.
atleast_3d
()¶Alias to: numpy.atleast_3d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.shape_base.
hstack
()¶Alias to: numpy.hstack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.shape_base.
stack
()¶Alias to: numpy.stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.shape_base.
vstack
()¶Alias to: numpy.row_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 3 unsupported functions.
supported = 7 / 10 = 70.00%
numpy.core.umath.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.core.umath.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.umath.
bincount
()¶Alias to: numpy.bincount
np_bincount(a, weights=None)
at numba/targets/arraymath.py:3312-3361numpy.core.umath.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.umath.
dot
()¶Alias to: numpy.dot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.umath.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.umath.
empty_like
()¶Alias to: numpy.empty_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.umath.
frombuffer
()¶Alias to: numpy.frombuffer
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.umath.
vdot
()¶Alias to: numpy.vdot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.umath.
where
()¶Alias to: numpy.where
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.core.umath.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 47 unsupported functions.
supported = 11 / 58 = 18.97%
This module is not supported.
numpy.ctypeslib.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.ctypeslib.
frombuffer
()¶Alias to: numpy.frombuffer
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 7 unsupported functions.
supported = 2 / 9 = 22.22%
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
numpy.distutils.system_info.
reduce
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 18 unsupported functions.
supported = 1 / 19 = 5.26%
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
numpy.f2py.auxfuncs.
reduce
()¶Alias to: numpy.distutils.system_info.reduce
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 102 unsupported functions.
supported = 1 / 103 = 0.97%
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
numpy.fft.fftpack.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.fft.fftpack.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.fft.fftpack.
shape
()¶Alias to: numpy.shape
np_shape(a)
at numba/targets/arrayobj.py:1890-1897numpy.fft.fftpack.
take
()¶Alias to: numpy.take
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.fft.fftpack.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 16 unsupported functions.
supported = 5 / 21 = 23.81%
This module is not supported.
numpy.fft.helper.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.fft.helper.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.fft.helper.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.fft.helper.
roll
()¶Alias to: numpy.roll
np_roll(a, shift)
at numba/targets/arraymath.py:1800-1820Not showing 6 unsupported functions.
supported = 4 / 10 = 40.00%
This module is not supported.
This module is not supported.
numpy.lib.
angle
()¶Alias to: numpy.angle
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.
append
()¶Alias to: numpy.append
np_append(arr, values, axis=None)
at numba/targets/arrayobj.py:1696-1719numpy.lib.
bartlett
()¶Alias to: numpy.bartlett
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.lib.
bincount
()¶Alias to: numpy.bincount
np_bincount(a, weights=None)
at numba/targets/arraymath.py:3312-3361numpy.lib.
blackman
()¶Alias to: numpy.blackman
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.lib.
column_stack
()¶Alias to: numpy.column_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.
copy
()¶Alias to: numpy.copy
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.
corrcoef
()¶Alias to: numpy.corrcoef
np_corrcoef(x, y=None, rowvar=True)
at numba/targets/arraymath.py:2629-2659numpy.lib.
cov
()¶Alias to: numpy.cov
np_cov(m, y=None, rowvar=True, bias=False, ddof=None)
at numba/targets/arraymath.py:2570-2627numpy.lib.
delete
()¶Alias to: numpy.delete
np_delete(arr, obj)
at numba/targets/arraymath.py:3194-3238numpy.lib.
diag
()¶Alias to: numpy.diag
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.
diff
()¶Alias to: numpy.diff
np_diff_impl(a, n=1)
at numba/targets/arraymath.py:3241-3277numpy.lib.
digitize
()¶Alias to: numpy.digitize
np_digitize(x, bins, right=False)
at numba/targets/arraymath.py:3429-3555numpy.lib.
dstack
()¶Alias to: numpy.dstack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.
ediff1d
()¶Alias to: numpy.ediff1d
np_ediff1d(ary, to_end=None, to_begin=None)
at numba/targets/arraymath.py:1610-1665numpy.lib.
expand_dims
()¶Alias to: numpy.expand_dims
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.
extract
()¶Alias to: numpy.extract
np_extract(condition, arr)
at numba/targets/arraymath.py:3909-3932numpy.lib.
eye
()¶Alias to: numpy.eye
numpy_eye(N, M=None, k=0, dtype=<class 'float'>)
at numba/targets/arrayobj.py:3674-3697numpy.lib.
fill_diagonal
()¶Alias to: numpy.fill_diagonal
np_fill_diagonal(a, val, wrap=False)
at numba/targets/arraymath.py:2790-2820numpy.lib.
hamming
()¶Alias to: numpy.hamming
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.lib.
hanning
()¶Alias to: numpy.hanning
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.lib.
histogram
()¶Alias to: numpy.histogram
np_histogram(a, bins=10, range=None)
at numba/targets/arraymath.py:3561-3641numpy.lib.
imag
()¶Alias to: numpy.imag
np_imag(a)
at numba/targets/arraymath.py:3159-3164numpy.lib.
interp
()¶Alias to: numpy.interp
np_interp(x, xp, fp)
at numba/targets/arraymath.py:2314-2380numpy.lib.
kaiser
()¶Alias to: numpy.kaiser
np_kaiser(M, beta)
at numba/targets/arraymath.py:4137-4156numpy.lib.
kron
()¶Alias to: numpy.kron
kron_impl(a, b)
at numba/targets/linalg.py:2746-2800numpy.lib.
median
()¶Alias to: numpy.median
np_median(a)
at numba/targets/arraymath.py:1111-1123numpy.lib.
nancumprod
()¶Alias to: numpy.nancumprod
np_nancumprod(a)
at numba/targets/arraymath.py:858-880numpy.lib.
nancumsum
()¶Alias to: numpy.nancumsum
np_nancumsum(a)
at numba/targets/arraymath.py:882-904numpy.lib.
nanmax
()¶Alias to: numpy.nanmax
np_nanmax(a)
at numba/targets/arraymath.py:749-755numpy.lib.
nanmean
()¶Alias to: numpy.nanmean
np_nanmean(a)
at numba/targets/arraymath.py:759-776numpy.lib.
nanmedian
()¶Alias to: numpy.nanmedian
np_nanmedian(a)
at numba/targets/arraymath.py:1306-1328numpy.lib.
nanmin
()¶Alias to: numpy.nanmin
np_nanmin(a)
at numba/targets/arraymath.py:740-746numpy.lib.
nanpercentile
()¶Alias to: numpy.nanpercentile
np_nanpercentile(a, q)
at numba/targets/arraymath.py:1279-1286numpy.lib.
nanprod
()¶Alias to: numpy.nanprod
np_nanprod(a)
at numba/targets/arraymath.py:836-855numpy.lib.
nanquantile
()¶Alias to: numpy.nanquantile
np_nanquantile(a, q)
at numba/targets/arraymath.py:1298-1302numpy.lib.
nanstd
()¶Alias to: numpy.nanstd
np_nanstd(a)
at numba/targets/arraymath.py:802-810numpy.lib.
nansum
()¶Alias to: numpy.nansum
np_nansum(a)
at numba/targets/arraymath.py:813-832numpy.lib.
nanvar
()¶Alias to: numpy.nanvar
np_nanvar(a)
at numba/targets/arraymath.py:778-800numpy.lib.
percentile
()¶Alias to: numpy.percentile
np_percentile(a, q)
at numba/targets/arraymath.py:1268-1275numpy.lib.
quantile
()¶Alias to: numpy.quantile
np_quantile(a, q)
at numba/targets/arraymath.py:1290-1294numpy.lib.
real
()¶Alias to: numpy.real
np_real(a)
at numba/targets/arraymath.py:3151-3156numpy.lib.
roots
()¶Alias to: numpy.roots
roots_impl(p)
at numba/targets/polynomial.py:14-59numpy.lib.
row_stack
()¶Alias to: numpy.row_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.
select
()¶Alias to: numpy.select
np_select(condlist, choicelist, default=0)
at numba/targets/arraymath.py:3935-3983numpy.lib.
sinc
()¶Alias to: numpy.sinc
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.
trapz
()¶Alias to: numpy.trapz
np_trapz(y, x=None, dx=1.0)
at numba/targets/arraymath.py:1702-1721numpy.lib.
tri
()¶Alias to: numpy.tri
np_tri(N, M=None, k=0)
at numba/targets/arraymath.py:1428-1439numpy.lib.
tril
()¶Alias to: numpy.tril
my_tril(m, k=0)
at numba/targets/arraymath.py:1465-1489numpy.lib.
tril_indices
()¶Alias to: numpy.tril_indices
np_tril_indices(n, k=0, m=None)
at numba/targets/arraymath.py:1492-1503numpy.lib.
tril_indices_from
()¶Alias to: numpy.tril_indices_from
np_tril_indices_from(arr, k=0)
at numba/targets/arraymath.py:1506-1517numpy.lib.
triu
()¶Alias to: numpy.triu
my_triu(m, k=0)
at numba/targets/arraymath.py:1526-1549numpy.lib.
triu_indices
()¶Alias to: numpy.triu_indices
np_triu_indices(n, k=0, m=None)
at numba/targets/arraymath.py:1552-1563numpy.lib.
triu_indices_from
()¶Alias to: numpy.triu_indices_from
np_triu_indices_from(arr, k=0)
at numba/targets/arraymath.py:1566-1577numpy.lib.
unique
()¶Alias to: numpy.unique
np_unique(a)
at numba/targets/arrayobj.py:1902-1909numpy.lib.
vander
()¶Alias to: numpy.vander
np_vander(x, N=None, increasing=False)
at numba/targets/arraymath.py:1760-1797Not showing 113 unsupported functions.
supported = 56 / 169 = 33.14%
This module is not supported.
numpy.lib.arraysetops.
ediff1d
()¶Alias to: numpy.ediff1d
np_ediff1d(ary, to_end=None, to_begin=None)
at numba/targets/arraymath.py:1610-1665numpy.lib.arraysetops.
unique
()¶Alias to: numpy.unique
np_unique(a)
at numba/targets/arrayobj.py:1902-1909Not showing 6 unsupported functions.
supported = 2 / 8 = 25.00%
numpy.lib.arrayterator.
mul
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
unicode_repeat(a, b)
at numba/unicode.py:1686-1695charseq_repeat(a, b)
at numba/charseq.py:398-415<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.arrayterator.
reduce
()¶Alias to: numpy.distutils.system_info.reduce
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 0 unsupported functions.
supported = 2 / 2 = 100.00%
This module is not supported.
This module is not supported.
numpy.lib.function_base.
angle
()¶Alias to: numpy.angle
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
any
()¶Alias to: numpy.any
np_any(a)
at numba/targets/arraymath.py:646-655numpy.lib.function_base.
append
()¶Alias to: numpy.append
np_append(arr, values, axis=None)
at numba/targets/arrayobj.py:1696-1719numpy.lib.function_base.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.lib.function_base.
around
()¶Alias to: numpy.around
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.lib.function_base.
atleast_1d
()¶Alias to: numpy.atleast_1d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
bartlett
()¶Alias to: numpy.bartlett
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.lib.function_base.
bincount
()¶Alias to: numpy.bincount
np_bincount(a, weights=None)
at numba/targets/arraymath.py:3312-3361numpy.lib.function_base.
blackman
()¶Alias to: numpy.blackman
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.lib.function_base.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
copy
()¶Alias to: numpy.copy
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
corrcoef
()¶Alias to: numpy.corrcoef
np_corrcoef(x, y=None, rowvar=True)
at numba/targets/arraymath.py:2629-2659numpy.lib.function_base.
cov
()¶Alias to: numpy.cov
np_cov(m, y=None, rowvar=True, bias=False, ddof=None)
at numba/targets/arraymath.py:2570-2627numpy.lib.function_base.
delete
()¶Alias to: numpy.delete
np_delete(arr, obj)
at numba/targets/arraymath.py:3194-3238numpy.lib.function_base.
diag
()¶Alias to: numpy.diag
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
diff
()¶Alias to: numpy.diff
np_diff_impl(a, n=1)
at numba/targets/arraymath.py:3241-3277numpy.lib.function_base.
digitize
()¶Alias to: numpy.digitize
np_digitize(x, bins, right=False)
at numba/targets/arraymath.py:3429-3555numpy.lib.function_base.
dot
()¶Alias to: numpy.dot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
empty_like
()¶Alias to: numpy.empty_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
extract
()¶Alias to: numpy.extract
np_extract(condition, arr)
at numba/targets/arraymath.py:3909-3932numpy.lib.function_base.
hamming
()¶Alias to: numpy.hamming
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.lib.function_base.
hanning
()¶Alias to: numpy.hanning
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.lib.function_base.
histogram
()¶Alias to: numpy.histogram
np_histogram(a, bins=10, range=None)
at numba/targets/arraymath.py:3561-3641numpy.lib.function_base.
interp
()¶Alias to: numpy.interp
np_interp(x, xp, fp)
at numba/targets/arraymath.py:2314-2380numpy.lib.function_base.
kaiser
()¶Alias to: numpy.kaiser
np_kaiser(M, beta)
at numba/targets/arraymath.py:4137-4156numpy.lib.function_base.
mean
()¶Alias to: numpy.mean
<class 'numba.typing.npydecl.Numpy_redirect_mean'>
numpy.lib.function_base.
median
()¶Alias to: numpy.median
np_median(a)
at numba/targets/arraymath.py:1111-1123numpy.lib.function_base.
nonzero
()¶Alias to: numpy.nonzero
<class 'numba.typing.npydecl.Numpy_redirect_nonzero'>
numpy.lib.function_base.
ones
()¶Alias to: numpy.ones
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
partition
()¶Alias to: numpy.partition
np_partition(a, kth)
at numba/targets/arraymath.py:1387-1409numpy.lib.function_base.
percentile
()¶Alias to: numpy.percentile
np_percentile(a, q)
at numba/targets/arraymath.py:1268-1275numpy.lib.function_base.
quantile
()¶Alias to: numpy.quantile
np_quantile(a, q)
at numba/targets/arraymath.py:1290-1294numpy.lib.function_base.
ravel
()¶Alias to: numpy.ravel
<class 'numba.typing.npydecl.Numpy_redirect_ravel'>
numpy.lib.function_base.
select
()¶Alias to: numpy.select
np_select(condlist, choicelist, default=0)
at numba/targets/arraymath.py:3935-3983numpy.lib.function_base.
sinc
()¶Alias to: numpy.sinc
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
sum
()¶Alias to: numpy.sum
<class 'numba.typing.npydecl.Numpy_redirect_sum'>
numpy.lib.function_base.
take
()¶Alias to: numpy.take
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
transpose
()¶Alias to: numpy.transpose
numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529numpy.lib.function_base.
trapz
()¶Alias to: numpy.trapz
np_trapz(y, x=None, dx=1.0)
at numba/targets/arraymath.py:1702-1721numpy.lib.function_base.
where
()¶Alias to: numpy.where
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.function_base.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 28 unsupported functions.
supported = 44 / 72 = 61.11%
numpy.lib.histograms.
histogram
()¶Alias to: numpy.histogram
np_histogram(a, bins=10, range=None)
at numba/targets/arraymath.py:3561-3641Not showing 2 unsupported functions.
supported = 1 / 3 = 33.33%
numpy.lib.index_tricks.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.lib.index_tricks.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.index_tricks.
as_strided
()¶as_strided(x, shape=None, strides=None)
at numba/targets/arrayobj.py:5017-5043numpy.lib.index_tricks.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.lib.index_tricks.
cumprod
()¶Alias to: numpy.cumprod
<class 'numba.typing.npydecl.Numpy_redirect_cumprod'>
numpy.lib.index_tricks.
diff
()¶Alias to: numpy.diff
np_diff_impl(a, n=1)
at numba/targets/arraymath.py:3241-3277numpy.lib.index_tricks.
fill_diagonal
()¶Alias to: numpy.fill_diagonal
np_fill_diagonal(a, val, wrap=False)
at numba/targets/arraymath.py:2790-2820numpy.lib.index_tricks.
linspace
()¶Alias to: numpy.linspace
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 10 unsupported functions.
supported = 8 / 18 = 44.44%
This module is not supported.
numpy.lib.nanfunctions.
nancumprod
()¶Alias to: numpy.nancumprod
np_nancumprod(a)
at numba/targets/arraymath.py:858-880numpy.lib.nanfunctions.
nancumsum
()¶Alias to: numpy.nancumsum
np_nancumsum(a)
at numba/targets/arraymath.py:882-904numpy.lib.nanfunctions.
nanmax
()¶Alias to: numpy.nanmax
np_nanmax(a)
at numba/targets/arraymath.py:749-755numpy.lib.nanfunctions.
nanmean
()¶Alias to: numpy.nanmean
np_nanmean(a)
at numba/targets/arraymath.py:759-776numpy.lib.nanfunctions.
nanmedian
()¶Alias to: numpy.nanmedian
np_nanmedian(a)
at numba/targets/arraymath.py:1306-1328numpy.lib.nanfunctions.
nanmin
()¶Alias to: numpy.nanmin
np_nanmin(a)
at numba/targets/arraymath.py:740-746numpy.lib.nanfunctions.
nanpercentile
()¶Alias to: numpy.nanpercentile
np_nanpercentile(a, q)
at numba/targets/arraymath.py:1279-1286numpy.lib.nanfunctions.
nanprod
()¶Alias to: numpy.nanprod
np_nanprod(a)
at numba/targets/arraymath.py:836-855numpy.lib.nanfunctions.
nanquantile
()¶Alias to: numpy.nanquantile
np_nanquantile(a, q)
at numba/targets/arraymath.py:1298-1302numpy.lib.nanfunctions.
nanstd
()¶Alias to: numpy.nanstd
np_nanstd(a)
at numba/targets/arraymath.py:802-810numpy.lib.nanfunctions.
nansum
()¶Alias to: numpy.nansum
np_nansum(a)
at numba/targets/arraymath.py:813-832numpy.lib.nanfunctions.
nanvar
()¶Alias to: numpy.nanvar
np_nanvar(a)
at numba/targets/arraymath.py:778-800Not showing 2 unsupported functions.
supported = 12 / 14 = 85.71%
This module is not supported.
numpy.lib.polynomial.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.polynomial.
atleast_1d
()¶Alias to: numpy.atleast_1d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.polynomial.
diag
()¶Alias to: numpy.diag
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.polynomial.
dot
()¶Alias to: numpy.dot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.polynomial.
eigvals
()¶eigvals_impl(a)
at numba/targets/linalg.py:1018-1143numpy.lib.polynomial.
hstack
()¶Alias to: numpy.hstack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.polynomial.
imag
()¶Alias to: numpy.imag
np_imag(a)
at numba/targets/arraymath.py:3159-3164numpy.lib.polynomial.
inv
()¶inv_impl(a)
at numba/targets/linalg.py:777-819numpy.lib.polynomial.
lstsq
()¶lstsq_impl(a, b, rcond=-1.0)
at numba/targets/linalg.py:1569-1667numpy.lib.polynomial.
ones
()¶Alias to: numpy.ones
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.polynomial.
real
()¶Alias to: numpy.real
np_real(a)
at numba/targets/arraymath.py:3151-3156numpy.lib.polynomial.
roots
()¶Alias to: numpy.roots
roots_impl(p)
at numba/targets/polynomial.py:14-59numpy.lib.polynomial.
vander
()¶Alias to: numpy.vander
np_vander(x, N=None, increasing=False)
at numba/targets/arraymath.py:1760-1797Not showing 14 unsupported functions.
supported = 13 / 27 = 48.15%
This module is not supported.
numpy.lib.scimath.
any
()¶Alias to: numpy.any
np_any(a)
at numba/targets/arraymath.py:646-655numpy.lib.scimath.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906Not showing 11 unsupported functions.
supported = 2 / 13 = 15.38%
This module is not supported.
numpy.lib.shape_base.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.shape_base.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.lib.shape_base.
atleast_3d
()¶Alias to: numpy.atleast_3d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.shape_base.
column_stack
()¶Alias to: numpy.column_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.shape_base.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.shape_base.
dstack
()¶Alias to: numpy.dstack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.shape_base.
expand_dims
()¶Alias to: numpy.expand_dims
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.shape_base.
kron
()¶Alias to: numpy.kron
kron_impl(a, b)
at numba/targets/linalg.py:2746-2800numpy.lib.shape_base.
outer
()¶Alias to: numpy.outer
outer_impl(a, b, out=None)
at numba/targets/linalg.py:2656-2667numpy.lib.shape_base.
reshape
()¶Alias to: numpy.reshape
np_reshape(a, shape)
at numba/targets/arrayobj.py:1689-1693numpy.lib.shape_base.
row_stack
()¶Alias to: numpy.row_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.shape_base.
transpose
()¶Alias to: numpy.transpose
numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529numpy.lib.shape_base.
vstack
()¶Alias to: numpy.row_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.shape_base.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 15 unsupported functions.
supported = 14 / 29 = 48.28%
numpy.lib.stride_tricks.
as_strided
()¶Alias to: numpy.lib.index_tricks.as_strided
as_strided(x, shape=None, strides=None)
at numba/targets/arrayobj.py:5017-5043Not showing 3 unsupported functions.
supported = 1 / 4 = 25.00%
numpy.lib.twodim_base.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.lib.twodim_base.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.lib.twodim_base.
diag
()¶Alias to: numpy.diag
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.twodim_base.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.twodim_base.
eye
()¶Alias to: numpy.eye
numpy_eye(N, M=None, k=0, dtype=<class 'float'>)
at numba/targets/arrayobj.py:3674-3697numpy.lib.twodim_base.
nonzero
()¶Alias to: numpy.nonzero
<class 'numba.typing.npydecl.Numpy_redirect_nonzero'>
numpy.lib.twodim_base.
ones
()¶Alias to: numpy.ones
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.twodim_base.
transpose
()¶Alias to: numpy.transpose
numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529numpy.lib.twodim_base.
tri
()¶Alias to: numpy.tri
np_tri(N, M=None, k=0)
at numba/targets/arraymath.py:1428-1439numpy.lib.twodim_base.
tril
()¶Alias to: numpy.tril
my_tril(m, k=0)
at numba/targets/arraymath.py:1465-1489numpy.lib.twodim_base.
tril_indices
()¶Alias to: numpy.tril_indices
np_tril_indices(n, k=0, m=None)
at numba/targets/arraymath.py:1492-1503numpy.lib.twodim_base.
tril_indices_from
()¶Alias to: numpy.tril_indices_from
np_tril_indices_from(arr, k=0)
at numba/targets/arraymath.py:1506-1517numpy.lib.twodim_base.
triu
()¶Alias to: numpy.triu
my_triu(m, k=0)
at numba/targets/arraymath.py:1526-1549numpy.lib.twodim_base.
triu_indices
()¶Alias to: numpy.triu_indices
np_triu_indices(n, k=0, m=None)
at numba/targets/arraymath.py:1552-1563numpy.lib.twodim_base.
triu_indices_from
()¶Alias to: numpy.triu_indices_from
np_triu_indices_from(arr, k=0)
at numba/targets/arraymath.py:1566-1577numpy.lib.twodim_base.
vander
()¶Alias to: numpy.vander
np_vander(x, N=None, increasing=False)
at numba/targets/arraymath.py:1760-1797numpy.lib.twodim_base.
where
()¶Alias to: numpy.where
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.twodim_base.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 9 unsupported functions.
supported = 18 / 27 = 66.67%
numpy.lib.type_check.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.lib.type_check.
imag
()¶Alias to: numpy.imag
np_imag(a)
at numba/targets/arraymath.py:3159-3164numpy.lib.type_check.
real
()¶Alias to: numpy.real
np_real(a)
at numba/targets/arraymath.py:3151-3156numpy.lib.type_check.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 15 unsupported functions.
supported = 4 / 19 = 21.05%
This module is not supported.
numpy.lib.user_array.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.lib.user_array.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.lib.user_array.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.lib.user_array.
reshape
()¶Alias to: numpy.reshape
np_reshape(a, shape)
at numba/targets/arrayobj.py:1689-1693numpy.lib.user_array.
shape
()¶Alias to: numpy.shape
np_shape(a)
at numba/targets/arrayobj.py:1890-1897numpy.lib.user_array.
transpose
()¶Alias to: numpy.transpose
numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529Not showing 0 unsupported functions.
supported = 6 / 6 = 100.00%
numpy.lib.utils.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906Not showing 15 unsupported functions.
supported = 1 / 16 = 6.25%
numpy.linalg.
cholesky
()¶cho_impl(a)
at numba/targets/linalg.py:851-893numpy.linalg.
cond
()¶cond_impl(a, p=None)
at numba/targets/linalg.py:2374-2416numpy.linalg.
det
()¶det_impl(a)
at numba/targets/linalg.py:2026-2037numpy.linalg.
eig
()¶eig_impl(a)
at numba/targets/linalg.py:895-1016numpy.linalg.
eigh
()¶eigh_impl(a)
at numba/targets/linalg.py:1145-1197numpy.linalg.
eigvals
()¶Alias to: numpy.lib.polynomial.eigvals
eigvals_impl(a)
at numba/targets/linalg.py:1018-1143numpy.linalg.
eigvalsh
()¶eigvalsh_impl(a)
at numba/targets/linalg.py:1199-1251numpy.linalg.
inv
()¶Alias to: numpy.lib.polynomial.inv
inv_impl(a)
at numba/targets/linalg.py:777-819numpy.linalg.
lstsq
()¶Alias to: numpy.lib.polynomial.lstsq
lstsq_impl(a, b, rcond=-1.0)
at numba/targets/linalg.py:1569-1667numpy.linalg.
matrix_power
()¶matrix_power_impl(a, n)
at numba/targets/linalg.py:2499-2572numpy.linalg.
matrix_rank
()¶matrix_rank_impl(a, tol=None)
at numba/targets/linalg.py:2433-2496numpy.linalg.
norm
()¶norm_impl(a, ord=None)
at numba/targets/linalg.py:2365-2371numpy.linalg.
pinv
()¶pinv_impl(a, rcond=1e-15)
at numba/targets/linalg.py:1757-1923numpy.linalg.
qr
()¶qr_impl(a)
at numba/targets/linalg.py:1324-1403numpy.linalg.
slogdet
()¶slogdet_impl(a)
at numba/targets/linalg.py:1962-2023numpy.linalg.
solve
()¶solve_impl(a, b)
at numba/targets/linalg.py:1690-1754numpy.linalg.
svd
()¶svd_impl(a, full_matrices=1)
at numba/targets/linalg.py:1253-1321Not showing 3 unsupported functions.
supported = 17 / 20 = 85.00%
This module is not supported.
This module is not supported.
numpy.linalg.linalg.
all
()¶Alias to: numpy.all
np_all(a)
at numba/targets/arraymath.py:634-643numpy.linalg.linalg.
amax
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.linalg.linalg.
amin
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.linalg.linalg.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.linalg.linalg.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.linalg.linalg.
atleast_2d
()¶Alias to: numpy.atleast_2d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.linalg.linalg.
cholesky
()¶Alias to: numpy.linalg.cholesky
cho_impl(a)
at numba/targets/linalg.py:851-893numpy.linalg.linalg.
cond
()¶Alias to: numpy.linalg.cond
cond_impl(a, p=None)
at numba/targets/linalg.py:2374-2416numpy.linalg.linalg.
count_nonzero
()¶Alias to: numpy.count_nonzero
np_count_nonzero(arr, axis=None)
at numba/targets/arraymath.py:3170-3187numpy.linalg.linalg.
det
()¶Alias to: numpy.linalg.det
det_impl(a)
at numba/targets/linalg.py:2026-2037numpy.linalg.linalg.
dot
()¶Alias to: numpy.dot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.linalg.linalg.
eig
()¶Alias to: numpy.linalg.eig
eig_impl(a)
at numba/targets/linalg.py:895-1016numpy.linalg.linalg.
eigh
()¶Alias to: numpy.linalg.eigh
eigh_impl(a)
at numba/targets/linalg.py:1145-1197numpy.linalg.linalg.
eigvals
()¶Alias to: numpy.lib.polynomial.eigvals
eigvals_impl(a)
at numba/targets/linalg.py:1018-1143numpy.linalg.linalg.
eigvalsh
()¶Alias to: numpy.linalg.eigvalsh
eigvalsh_impl(a)
at numba/targets/linalg.py:1199-1251numpy.linalg.linalg.
empty
()¶Alias to: numpy.empty
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.linalg.linalg.
empty_like
()¶Alias to: numpy.empty_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.linalg.linalg.
eye
()¶Alias to: numpy.eye
numpy_eye(N, M=None, k=0, dtype=<class 'float'>)
at numba/targets/arrayobj.py:3674-3697numpy.linalg.linalg.
inv
()¶Alias to: numpy.lib.polynomial.inv
inv_impl(a)
at numba/targets/linalg.py:777-819numpy.linalg.linalg.
lstsq
()¶Alias to: numpy.lib.polynomial.lstsq
lstsq_impl(a, b, rcond=-1.0)
at numba/targets/linalg.py:1569-1667numpy.linalg.linalg.
matrix_power
()¶Alias to: numpy.linalg.matrix_power
matrix_power_impl(a, n)
at numba/targets/linalg.py:2499-2572numpy.linalg.linalg.
matrix_rank
()¶Alias to: numpy.linalg.matrix_rank
matrix_rank_impl(a, tol=None)
at numba/targets/linalg.py:2433-2496numpy.linalg.linalg.
norm
()¶Alias to: numpy.linalg.norm
norm_impl(a, ord=None)
at numba/targets/linalg.py:2365-2371numpy.linalg.linalg.
pinv
()¶Alias to: numpy.linalg.pinv
pinv_impl(a, rcond=1e-15)
at numba/targets/linalg.py:1757-1923numpy.linalg.linalg.
qr
()¶Alias to: numpy.linalg.qr
qr_impl(a)
at numba/targets/linalg.py:1324-1403numpy.linalg.linalg.
slogdet
()¶Alias to: numpy.linalg.slogdet
slogdet_impl(a)
at numba/targets/linalg.py:1962-2023numpy.linalg.linalg.
solve
()¶Alias to: numpy.linalg.solve
solve_impl(a, b)
at numba/targets/linalg.py:1690-1754numpy.linalg.linalg.
sum
()¶Alias to: numpy.sum
<class 'numba.typing.npydecl.Numpy_redirect_sum'>
numpy.linalg.linalg.
svd
()¶Alias to: numpy.linalg.svd
svd_impl(a, full_matrices=1)
at numba/targets/linalg.py:1253-1321numpy.linalg.linalg.
triu
()¶Alias to: numpy.triu
my_triu(m, k=0)
at numba/targets/arraymath.py:1526-1549numpy.linalg.linalg.
zeros
()¶Alias to: numpy.zeros
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 14 unsupported functions.
supported = 31 / 45 = 68.89%
This module is not supported.
numpy.ma.
amax
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.ma.
amin
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.ma.
diff
()¶Alias to: numpy.diff
np_diff_impl(a, n=1)
at numba/targets/arraymath.py:3241-3277numpy.ma.
expand_dims
()¶Alias to: numpy.expand_dims
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 111 unsupported functions.
supported = 4 / 115 = 3.48%
This module is not supported.
numpy.ma.core.
amax
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.ma.core.
amin
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.ma.core.
diff
()¶Alias to: numpy.diff
np_diff_impl(a, n=1)
at numba/targets/arraymath.py:3241-3277numpy.ma.core.
expand_dims
()¶Alias to: numpy.expand_dims
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.ma.core.
narray
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.ma.core.
ones_like
()¶Alias to: numpy.ones_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.ma.core.
reduce
()¶Alias to: numpy.distutils.system_info.reduce
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.ma.core.
zeros_like
()¶Alias to: numpy.zeros_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 93 unsupported functions.
supported = 8 / 101 = 7.92%
numpy.ma.extras.
nxarray
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 48 unsupported functions.
supported = 1 / 49 = 2.04%
numpy.ma.mrecords.
narray
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 10 unsupported functions.
supported = 1 / 11 = 9.09%
This module is not supported.
This module is not supported.
numpy.ma.timer_comparison.
reduce
()¶Alias to: numpy.distutils.system_info.reduce
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 1 unsupported functions.
supported = 1 / 2 = 50.00%
numpy.matlib.
all
()¶Alias to: numpy.all
np_all(a)
at numba/targets/arraymath.py:634-643numpy.matlib.
amax
()¶Alias to: numpy.amax
<class 'numba.typing.npydecl.Numpy_redirect_max'>
numpy.matlib.
amin
()¶Alias to: numpy.amin
<class 'numba.typing.npydecl.Numpy_redirect_min'>
numpy.matlib.
angle
()¶Alias to: numpy.angle
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
any
()¶Alias to: numpy.any
np_any(a)
at numba/targets/arraymath.py:646-655numpy.matlib.
append
()¶Alias to: numpy.append
np_append(arr, values, axis=None)
at numba/targets/arrayobj.py:1696-1719numpy.matlib.
arange
()¶Alias to: numpy.arange
np_arange(start, stop=None, step=None, dtype=None)
at numba/targets/arrayobj.py:3835-3901numpy.matlib.
argmax
()¶Alias to: numpy.argmax
<class 'numba.typing.npydecl.Numpy_redirect_argmax'>
numpy.matlib.
argmin
()¶Alias to: numpy.argmin
<class 'numba.typing.npydecl.Numpy_redirect_argmin'>
numpy.matlib.
argsort
()¶Alias to: numpy.argsort
<class 'numba.typing.npydecl.Numpy_redirect_argsort'>
numpy.matlib.
argwhere
()¶Alias to: numpy.argwhere
np_argwhere(a)
at numba/targets/arraymath.py:2665-2679numpy.matlib.
around
()¶Alias to: numpy.around
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
array
()¶Alias to: numpy.array
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
array_equal
()¶Alias to: numpy.array_equal
np_array_equal(a, b)
at numba/targets/arraymath.py:3280-3299numpy.matlib.
asarray
()¶Alias to: numpy.asarray
np_asarray(a, dtype=None)
at numba/targets/arraymath.py:3873-3906numpy.matlib.
ascontiguousarray
()¶Alias to: numpy.ascontiguousarray
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
asfortranarray
()¶Alias to: numpy.asfortranarray
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
atleast_1d
()¶Alias to: numpy.atleast_1d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
atleast_2d
()¶Alias to: numpy.atleast_2d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
atleast_3d
()¶Alias to: numpy.atleast_3d
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
bartlett
()¶Alias to: numpy.bartlett
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.matlib.
bincount
()¶Alias to: numpy.bincount
np_bincount(a, weights=None)
at numba/targets/arraymath.py:3312-3361numpy.matlib.
blackman
()¶Alias to: numpy.blackman
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.matlib.
column_stack
()¶Alias to: numpy.column_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
convolve
()¶Alias to: numpy.convolve
np_convolve(a, v)
at numba/targets/arraymath.py:3849-3870numpy.matlib.
copy
()¶Alias to: numpy.copy
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
corrcoef
()¶Alias to: numpy.corrcoef
np_corrcoef(x, y=None, rowvar=True)
at numba/targets/arraymath.py:2629-2659numpy.matlib.
correlate
()¶Alias to: numpy.correlate
_np_correlate(a, v)
at numba/targets/arraymath.py:3810-3846numpy.matlib.
count_nonzero
()¶Alias to: numpy.count_nonzero
np_count_nonzero(arr, axis=None)
at numba/targets/arraymath.py:3170-3187numpy.matlib.
cov
()¶Alias to: numpy.cov
np_cov(m, y=None, rowvar=True, bias=False, ddof=None)
at numba/targets/arraymath.py:2570-2627numpy.matlib.
cross
()¶Alias to: numpy.cross
np_cross(a, b)
at numba/targets/arraymath.py:4200-4222numpy.matlib.
cumprod
()¶Alias to: numpy.cumprod
<class 'numba.typing.npydecl.Numpy_redirect_cumprod'>
numpy.matlib.
cumsum
()¶Alias to: numpy.cumsum
<class 'numba.typing.npydecl.Numpy_redirect_cumsum'>
numpy.matlib.
delete
()¶Alias to: numpy.delete
np_delete(arr, obj)
at numba/targets/arraymath.py:3194-3238numpy.matlib.
diag
()¶Alias to: numpy.diag
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
diff
()¶Alias to: numpy.diff
np_diff_impl(a, n=1)
at numba/targets/arraymath.py:3241-3277numpy.matlib.
digitize
()¶Alias to: numpy.digitize
np_digitize(x, bins, right=False)
at numba/targets/arraymath.py:3429-3555numpy.matlib.
dot
()¶Alias to: numpy.dot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
dstack
()¶Alias to: numpy.dstack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
ediff1d
()¶Alias to: numpy.ediff1d
np_ediff1d(ary, to_end=None, to_begin=None)
at numba/targets/arraymath.py:1610-1665numpy.matlib.
empty_like
()¶Alias to: numpy.empty_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
expand_dims
()¶Alias to: numpy.expand_dims
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
extract
()¶Alias to: numpy.extract
np_extract(condition, arr)
at numba/targets/arraymath.py:3909-3932numpy.matlib.
fill_diagonal
()¶Alias to: numpy.fill_diagonal
np_fill_diagonal(a, val, wrap=False)
at numba/targets/arraymath.py:2790-2820numpy.matlib.
flatnonzero
()¶Alias to: numpy.flatnonzero
np_flatnonzero(a)
at numba/targets/arraymath.py:2682-2703numpy.matlib.
frombuffer
()¶Alias to: numpy.frombuffer
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
full
()¶Alias to: numpy.full
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
full_like
()¶Alias to: numpy.full_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
hamming
()¶Alias to: numpy.hamming
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.matlib.
hanning
()¶Alias to: numpy.hanning
window_generator.<locals>.window_overload(M)
at numba/targets/arraymath.py:4019-4031numpy.matlib.
histogram
()¶Alias to: numpy.histogram
np_histogram(a, bins=10, range=None)
at numba/targets/arraymath.py:3561-3641numpy.matlib.
hstack
()¶Alias to: numpy.hstack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
imag
()¶Alias to: numpy.imag
np_imag(a)
at numba/targets/arraymath.py:3159-3164numpy.matlib.
interp
()¶Alias to: numpy.interp
np_interp(x, xp, fp)
at numba/targets/arraymath.py:2314-2380numpy.matlib.
kaiser
()¶Alias to: numpy.kaiser
np_kaiser(M, beta)
at numba/targets/arraymath.py:4137-4156numpy.matlib.
kron
()¶Alias to: numpy.kron
kron_impl(a, b)
at numba/targets/linalg.py:2746-2800numpy.matlib.
linspace
()¶Alias to: numpy.linspace
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
mean
()¶Alias to: numpy.mean
<class 'numba.typing.npydecl.Numpy_redirect_mean'>
numpy.matlib.
median
()¶Alias to: numpy.median
np_median(a)
at numba/targets/arraymath.py:1111-1123numpy.matlib.
nancumprod
()¶Alias to: numpy.nancumprod
np_nancumprod(a)
at numba/targets/arraymath.py:858-880numpy.matlib.
nancumsum
()¶Alias to: numpy.nancumsum
np_nancumsum(a)
at numba/targets/arraymath.py:882-904numpy.matlib.
nanmax
()¶Alias to: numpy.nanmax
np_nanmax(a)
at numba/targets/arraymath.py:749-755numpy.matlib.
nanmean
()¶Alias to: numpy.nanmean
np_nanmean(a)
at numba/targets/arraymath.py:759-776numpy.matlib.
nanmedian
()¶Alias to: numpy.nanmedian
np_nanmedian(a)
at numba/targets/arraymath.py:1306-1328numpy.matlib.
nanmin
()¶Alias to: numpy.nanmin
np_nanmin(a)
at numba/targets/arraymath.py:740-746numpy.matlib.
nanpercentile
()¶Alias to: numpy.nanpercentile
np_nanpercentile(a, q)
at numba/targets/arraymath.py:1279-1286numpy.matlib.
nanprod
()¶Alias to: numpy.nanprod
np_nanprod(a)
at numba/targets/arraymath.py:836-855numpy.matlib.
nanquantile
()¶Alias to: numpy.nanquantile
np_nanquantile(a, q)
at numba/targets/arraymath.py:1298-1302numpy.matlib.
nanstd
()¶Alias to: numpy.nanstd
np_nanstd(a)
at numba/targets/arraymath.py:802-810numpy.matlib.
nansum
()¶Alias to: numpy.nansum
np_nansum(a)
at numba/targets/arraymath.py:813-832numpy.matlib.
nanvar
()¶Alias to: numpy.nanvar
np_nanvar(a)
at numba/targets/arraymath.py:778-800numpy.matlib.
nonzero
()¶Alias to: numpy.nonzero
<class 'numba.typing.npydecl.Numpy_redirect_nonzero'>
numpy.matlib.
ones_like
()¶Alias to: numpy.ones_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
outer
()¶Alias to: numpy.outer
outer_impl(a, b, out=None)
at numba/targets/linalg.py:2656-2667numpy.matlib.
partition
()¶Alias to: numpy.partition
np_partition(a, kth)
at numba/targets/arraymath.py:1387-1409numpy.matlib.
percentile
()¶Alias to: numpy.percentile
np_percentile(a, q)
at numba/targets/arraymath.py:1268-1275numpy.matlib.
prod
()¶Alias to: numpy.prod
<class 'numba.typing.npydecl.Numpy_redirect_prod'>
numpy.matlib.
ptp
()¶Alias to: numpy.ptp
np_ptp(a)
at numba/targets/arraymath.py:966-991numpy.matlib.
quantile
()¶Alias to: numpy.quantile
np_quantile(a, q)
at numba/targets/arraymath.py:1290-1294numpy.matlib.
ravel
()¶Alias to: numpy.ravel
<class 'numba.typing.npydecl.Numpy_redirect_ravel'>
numpy.matlib.
real
()¶Alias to: numpy.real
np_real(a)
at numba/targets/arraymath.py:3151-3156numpy.matlib.
repeat
()¶Alias to: numpy.repeat
np_repeat(a, repeats)
at numba/targets/arrayobj.py:1912-1954numpy.matlib.
reshape
()¶Alias to: numpy.reshape
np_reshape(a, shape)
at numba/targets/arrayobj.py:1689-1693numpy.matlib.
roll
()¶Alias to: numpy.roll
np_roll(a, shift)
at numba/targets/arraymath.py:1800-1820numpy.matlib.
roots
()¶Alias to: numpy.roots
roots_impl(p)
at numba/targets/polynomial.py:14-59numpy.matlib.
round_
()¶Alias to: numpy.round
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
row_stack
()¶Alias to: numpy.row_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
searchsorted
()¶Alias to: numpy.searchsorted
searchsorted(a, v, side='left')
at numba/targets/arraymath.py:3394-3426numpy.matlib.
select
()¶Alias to: numpy.select
np_select(condlist, choicelist, default=0)
at numba/targets/arraymath.py:3935-3983numpy.matlib.
shape
()¶Alias to: numpy.shape
np_shape(a)
at numba/targets/arrayobj.py:1890-1897numpy.matlib.
sinc
()¶Alias to: numpy.sinc
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
sort
()¶Alias to: numpy.sort
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
stack
()¶Alias to: numpy.stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
std
()¶Alias to: numpy.std
<class 'numba.typing.npydecl.Numpy_redirect_std'>
numpy.matlib.
sum
()¶Alias to: numpy.sum
<class 'numba.typing.npydecl.Numpy_redirect_sum'>
numpy.matlib.
take
()¶Alias to: numpy.take
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
trace
()¶Alias to: numpy.trace
matrix_trace_impl(a, offset=0)
at numba/targets/linalg.py:2577-2605numpy.matlib.
transpose
()¶Alias to: numpy.transpose
numpy_transpose(a, axes=None)
at numba/targets/arrayobj.py:1517-1529numpy.matlib.
trapz
()¶Alias to: numpy.trapz
np_trapz(y, x=None, dx=1.0)
at numba/targets/arraymath.py:1702-1721numpy.matlib.
tri
()¶Alias to: numpy.tri
np_tri(N, M=None, k=0)
at numba/targets/arraymath.py:1428-1439numpy.matlib.
tril
()¶Alias to: numpy.tril
my_tril(m, k=0)
at numba/targets/arraymath.py:1465-1489numpy.matlib.
tril_indices
()¶Alias to: numpy.tril_indices
np_tril_indices(n, k=0, m=None)
at numba/targets/arraymath.py:1492-1503numpy.matlib.
tril_indices_from
()¶Alias to: numpy.tril_indices_from
np_tril_indices_from(arr, k=0)
at numba/targets/arraymath.py:1506-1517numpy.matlib.
triu
()¶Alias to: numpy.triu
my_triu(m, k=0)
at numba/targets/arraymath.py:1526-1549numpy.matlib.
triu_indices
()¶Alias to: numpy.triu_indices
np_triu_indices(n, k=0, m=None)
at numba/targets/arraymath.py:1552-1563numpy.matlib.
triu_indices_from
()¶Alias to: numpy.triu_indices_from
np_triu_indices_from(arr, k=0)
at numba/targets/arraymath.py:1566-1577numpy.matlib.
unique
()¶Alias to: numpy.unique
np_unique(a)
at numba/targets/arrayobj.py:1902-1909numpy.matlib.
vander
()¶Alias to: numpy.vander
np_vander(x, N=None, increasing=False)
at numba/targets/arraymath.py:1760-1797numpy.matlib.
var
()¶Alias to: numpy.var
<class 'numba.typing.npydecl.Numpy_redirect_var'>
numpy.matlib.
vdot
()¶Alias to: numpy.vdot
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
vstack
()¶Alias to: numpy.row_stack
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
where
()¶Alias to: numpy.where
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matlib.
zeros_like
()¶Alias to: numpy.zeros_like
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 207 unsupported functions.
supported = 114 / 321 = 35.51%
This module is not supported.
numpy.matrixlib.defmatrix.
concatenate
()¶Alias to: numpy.concatenate
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.matrixlib.defmatrix.
matrix_power
()¶Alias to: numpy.linalg.matrix_power
matrix_power_impl(a, n)
at numba/targets/linalg.py:2499-2572Not showing 5 unsupported functions.
supported = 2 / 7 = 28.57%
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
This module is not supported.
numpy.random.
beta
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
binomial
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
chisquare
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
choice
()¶choice(a, size=None, replace=True)
at numba/targets/randomimpl.py:1347-1427numpy.random.
exponential
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
f
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
gamma
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
geometric
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
gumbel
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
hypergeometric
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
laplace
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
logistic
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
lognormal
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
logseries
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
multinomial
()¶multinomial(n, pvals, size=None)
at numba/targets/randomimpl.py:1433-1508numpy.random.
negative_binomial
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
normal
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
pareto
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
permutation
()¶permutation_impl(x)
at numba/targets/randomimpl.py:1231-1245numpy.random.
poisson
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
power
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
rand
()¶rand(*size)
at numba/targets/randomimpl.py:1315-1327numpy.random.
randint
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
randn
()¶randn(*size)
at numba/targets/randomimpl.py:1329-1341numpy.random.
random
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
random_sample
()¶Alias to: numpy.random.random
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
ranf
()¶Alias to: numpy.random.random
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
rayleigh
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
sample
()¶Alias to: numpy.random.random
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
seed
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
shuffle
()¶shuffle_impl(arr)
at numba/targets/randomimpl.py:1227-1229numpy.random.
standard_cauchy
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
standard_exponential
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
standard_gamma
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
standard_normal
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
standard_t
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
triangular
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
uniform
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
vonmises
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
wald
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
weibull
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.
zipf
()¶<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 9 unsupported functions.
supported = 42 / 51 = 82.35%
This module is not supported.
numpy.random.mtrand.
beta
()¶Alias to: numpy.random.beta
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
binomial
()¶Alias to: numpy.random.binomial
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
chisquare
()¶Alias to: numpy.random.chisquare
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
choice
()¶Alias to: numpy.random.choice
choice(a, size=None, replace=True)
at numba/targets/randomimpl.py:1347-1427numpy.random.mtrand.
exponential
()¶Alias to: numpy.random.exponential
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
f
()¶Alias to: numpy.random.f
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
gamma
()¶Alias to: numpy.random.gamma
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
geometric
()¶Alias to: numpy.random.geometric
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
gumbel
()¶Alias to: numpy.random.gumbel
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
hypergeometric
()¶Alias to: numpy.random.hypergeometric
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
laplace
()¶Alias to: numpy.random.laplace
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
logistic
()¶Alias to: numpy.random.logistic
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
lognormal
()¶Alias to: numpy.random.lognormal
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
logseries
()¶Alias to: numpy.random.logseries
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
multinomial
()¶Alias to: numpy.random.multinomial
multinomial(n, pvals, size=None)
at numba/targets/randomimpl.py:1433-1508numpy.random.mtrand.
negative_binomial
()¶Alias to: numpy.random.negative_binomial
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
normal
()¶Alias to: numpy.random.normal
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
pareto
()¶Alias to: numpy.random.pareto
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
permutation
()¶Alias to: numpy.random.permutation
permutation_impl(x)
at numba/targets/randomimpl.py:1231-1245numpy.random.mtrand.
poisson
()¶Alias to: numpy.random.poisson
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
power
()¶Alias to: numpy.random.power
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
rand
()¶Alias to: numpy.random.rand
rand(*size)
at numba/targets/randomimpl.py:1315-1327numpy.random.mtrand.
randint
()¶Alias to: numpy.random.randint
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
randn
()¶Alias to: numpy.random.randn
randn(*size)
at numba/targets/randomimpl.py:1329-1341numpy.random.mtrand.
random_sample
()¶Alias to: numpy.random.random
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
rayleigh
()¶Alias to: numpy.random.rayleigh
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
seed
()¶Alias to: numpy.random.seed
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
shuffle
()¶Alias to: numpy.random.shuffle
shuffle_impl(arr)
at numba/targets/randomimpl.py:1227-1229numpy.random.mtrand.
standard_cauchy
()¶Alias to: numpy.random.standard_cauchy
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
standard_exponential
()¶Alias to: numpy.random.standard_exponential
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
standard_gamma
()¶Alias to: numpy.random.standard_gamma
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
standard_normal
()¶Alias to: numpy.random.standard_normal
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
standard_t
()¶Alias to: numpy.random.standard_t
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
triangular
()¶Alias to: numpy.random.triangular
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
uniform
()¶Alias to: numpy.random.uniform
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
vonmises
()¶Alias to: numpy.random.vonmises
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
wald
()¶Alias to: numpy.random.wald
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
weibull
()¶Alias to: numpy.random.weibull
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
numpy.random.mtrand.
zipf
()¶Alias to: numpy.random.zipf
<class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
Not showing 9 unsupported functions.
supported = 39 / 48 = 81.25%
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