rocm_jax/jax/numpy/__init__.pyi
Peter Hawkins 3082109a59 Add a type stub for jax.numpy.
This type stub is intended to match what pytype currently infers for jax.numpy, which is not particularly accurate in many cases. Future changes will add more accurate types to this stub.

Fix a number of new type errors this reveals to mypy.

PiperOrigin-RevId: 559179804
2023-08-22 11:50:49 -07:00

391 lines
6.9 KiB
Python

import numpy as _np
from jax.numpy import fft, linalg
from typing import Any, Callable, Dict, Tuple, Type, Union
from jax._src.typing import Array, ArrayLike
from jax._src.numpy.index_tricks import _Mgrid, _Ogrid, CClass as _CClass, RClass as _RClass
from jax._src.numpy.reductions import CumulativeReduction as _CumulativeReduction
from jax._src.numpy.ufunc_api import ufunc as ufunc
ComplexWarning: Any
abs: Any
absolute: Any
add: Callable[[ArrayLike, ArrayLike], Array]
all: Any
allclose: Any
alltrue: Any
amax: Any
amin: Any
angle: Any
any: Any
append: Any
apply_along_axis: Any
apply_over_axes: Any
arange: Any
arccos: Callable[[ArrayLike], Array]
arccosh: Any
arcsin: Callable[[ArrayLike], Array]
arcsinh: Callable[[ArrayLike], Array]
arctan: Callable[[ArrayLike], Array]
arctan2: Callable[[ArrayLike, ArrayLike], Array]
arctanh: Callable[[ArrayLike], Array]
argmax: Any
argmin: Any
argpartition: Any
argsort: Any
argwhere: Any
around: Any
array: Any
array_equal: Any
array_equiv: Any
array_repr: Any
array_split: Any
array_str: Any
asarray: Any
atleast_1d: Any
atleast_2d: Any
atleast_3d: Any
average: Any
bartlett: Any
bfloat16: Any
bincount: Any
bitwise_and: Callable[[ArrayLike, ArrayLike], Array]
bitwise_not: Callable[[ArrayLike], Array]
bitwise_or: Callable[[ArrayLike, ArrayLike], Array]
bitwise_xor: Callable[[ArrayLike, ArrayLike], Array]
blackman: Any
block: Any
bool_: Any
broadcast_arrays: Any
broadcast_shapes: Any
broadcast_to: Any
c_: _CClass
can_cast: Any
cbrt: Callable[[ArrayLike], Array]
cdouble: Any
ceil: Callable[[ArrayLike], Array]
character: Any
choose: Any
clip: Any
column_stack: Any
complex128: Any
complex64: Any
complex_: Any
complexfloating: Any
compress: Any
concatenate: Any
conj: Any
conjugate: Any
convolve: Any
copy: Any
copysign: Any
corrcoef: Any
correlate: Any
cos: Callable[[ArrayLike], Array]
cosh: Callable[[ArrayLike], Array]
count_nonzero: Any
cov: Any
cross: Any
csingle: Any
cumprod: _CumulativeReduction
cumsum: _CumulativeReduction
deg2rad: Any
degrees: Any
delete: Any
diag: Any
diag_indices: Any
diag_indices_from: Any
diagflat: Any
diagonal: Any
diff: Any
digitize: Any
divide: Any
divmod: Any
dot: Any
double: Any
dsplit: Any
dstack: Any
dtype: Any
e: Any
ediff1d: Any
einsum: Any
einsum_path: Any
empty: Any
empty_like: Any
equal: Callable[[ArrayLike, ArrayLike], Array]
euler_gamma: Any
exp: Callable[[ArrayLike], Array]
exp2: Any
expand_dims: Any
expm1: Callable[[ArrayLike], Array]
extract: Any
eye: Any
fabs: Callable[[ArrayLike], Array]
finfo: Any
fix: Any
flatnonzero: Any
flexible: Any
flip: Any
fliplr: Any
flipud: Any
float16: Any
float32: Any
float64: Any
float8_e4m3b11fnuz: Any
float8_e4m3fn: Any
float8_e4m3fnuz: Any
float8_e5m2: Any
float8_e5m2fnuz: Any
float_: Any
float_power: Callable[[ArrayLike, ArrayLike], Array]
floating: Any
floor: Callable[[ArrayLike], Array]
floor_divide: Any
fmax: Any
fmin: Any
fmod: Any
frexp: Any
from_dlpack: Any
frombuffer: Any
fromfile: Any
fromfunction: Any
fromiter: Any
def frompyfunc(func, /, nin, nout, *, identity = ...) -> ufunc: ...
fromstring: Any
full: Any
full_like: Any
gcd: Any
generic: Any
geomspace: Any
get_printoptions: Any
gradient: Any
greater: Callable[[ArrayLike, ArrayLike], Array]
greater_equal: Callable[[ArrayLike, ArrayLike], Array]
hamming: Any
hanning: Any
heaviside: Any
histogram: Any
histogram2d: Any
histogram_bin_edges: Any
histogramdd: Any
hsplit: Any
hstack: Any
hypot: Any
i0: Any
identity: Any
iinfo: Any
imag: Any
in1d: Any
index_exp: Any
indices: Any
inexact: Any
inf: Any
inner: Any
insert: Any
int16: Any
int32: Any
int4: Any
int64: Any
int8: Any
int_: Any
integer: Any
interp: Any
intersect1d: Any
invert: Callable[[ArrayLike], Array]
isclose: Any
iscomplex: Any
iscomplexobj: Any
isfinite: Any
isin: Any
isinf: Any
isnan: Any
isneginf: Callable[[ArrayLike], Array]
isposinf: Callable[[ArrayLike], Array]
isreal: Any
isrealobj: Any
isscalar: Any
issubdtype: Any
issubsctype: Any
iterable: Any
ix_: Any
kaiser: Any
kron: Any
lcm: Any
ldexp: Any
left_shift: Callable[[ArrayLike, ArrayLike], Array]
less: Callable[[ArrayLike, ArrayLike], Array]
less_equal: Callable[[ArrayLike, ArrayLike], Array]
lexsort: Any
linspace: Any
load: Any
log: Callable[[ArrayLike], Array]
log10: Any
log1p: Callable[[ArrayLike], Array]
log2: Any
logaddexp: Any
logaddexp2: Any
logical_and: Callable[[ArrayLike, ArrayLike], Array]
logical_not: Callable[[ArrayLike], Array]
logical_or: Callable[[ArrayLike, ArrayLike], Array]
logical_xor: Callable[[ArrayLike, ArrayLike], Array]
logspace: Any
mask_indices: Any
matmul: Any
matrix_transpose: Any
max: Any
maximum: Callable[[ArrayLike, ArrayLike], Array]
mean: Any
median: Any
meshgrid: Any
mgrid: _Mgrid
min: Any
minimum: Callable[[ArrayLike, ArrayLike], Array]
mod: Any
modf: Any
moveaxis: Any
multiply: Callable[[ArrayLike, ArrayLike], Array]
nan: Any
nan_to_num: Any
nanargmax: Any
nanargmin: Any
nancumprod: _CumulativeReduction
nancumsum: _CumulativeReduction
nanmax: Any
nanmean: Any
nanmedian: Any
nanmin: Any
nanpercentile: Any
nanprod: Any
nanquantile: Any
nanstd: Any
nansum: Any
nanvar: Any
ndarray = Array
ndim: Any
negative: Callable[[ArrayLike], Array]
newaxis: Any
nextafter: Callable[[ArrayLike, ArrayLike], Array]
nonzero: Any
not_equal: Callable[[ArrayLike, ArrayLike], Array]
number: Any
object_: Any
ogrid: _Ogrid
ones: Any
ones_like: Any
outer: Any
packbits: Any
pad: Any
partition: Any
percentile: Any
pi: Any
piecewise: Any
place: Any
poly: Any
polyadd: Any
polyder: Any
polydiv: Any
polyfit: Any
polyint: Any
polymul: Any
polysub: Any
polyval: Any
positive: Callable[[ArrayLike], Array]
power: Any
printoptions: Any
prod: Any
product: Any
promote_types: Any
ptp: Any
put: Any
quantile: Any
r_: _RClass
rad2deg: Any
radians: Any
ravel: Any
ravel_multi_index: Any
real: Any
reciprocal: Any
register_jax_array_methods: Any
remainder: Any
repeat: Any
reshape: Any
resize: Any
result_type: Any
right_shift: Any
rint: Any
roll: Any
rollaxis: Any
roots: Any
rot90: Any
round: Any
round_: Any
row_stack: Any
s_: Any
save: Any
savez: Any
searchsorted: Any
select: Any
set_printoptions: Any
setdiff1d: Any
setxor1d: Any
shape: Any
sign: Any
signbit: Any
signedinteger: Any
sin: Callable[[ArrayLike], Array]
sinc: Any
single: Any
sinh: Callable[[ArrayLike], Array]
size: Any
sort: Any
sort_complex: Any
split: Any
sqrt: Callable[[ArrayLike], Array]
square: Any
squeeze: Any
stack: Any
std: Any
subtract: Callable[[ArrayLike, ArrayLike], Array]
sum: Any
swapaxes: Any
take: Any
take_along_axis: Any
tan: Callable[[ArrayLike], Array]
tanh: Callable[[ArrayLike], Array]
tensordot: Any
tile: Any
trace: Any
transpose: Any
trapz: Any
tri: Any
tril: Any
tril_indices: Any
tril_indices_from: Any
trim_zeros: Any
triu: Any
triu_indices: Any
triu_indices_from: Any
true_divide: Any
trunc: Any
typing: Any
uint: Any
uint16: Any
uint32: Any
uint4: Any
uint64: Any
uint8: Any
union1d: Any
unique: Any
unpackbits: Any
unravel_index: Any
unsignedinteger: Any
unwrap: Any
vander: Any
var: Any
vdot: Any
def vectorize(pyfunc, *, excluded = ..., signature = ...) -> Callable: ...
vsplit: Any
vstack: Any
where: Any
zeros: Any
zeros_like: Any