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File/Folder	Size	Actions
arithmetic.pyi	20.32 KB	Del OK
array_constructors.pyi	11.55 KB	Del OK
arraypad.pyi	694 B	Del OK
arrayprint.pyi	686 B	Del OK
arraysetops.pyi	4.56 KB	Del OK
arrayterator.pyi	1.1 KB	Del OK
bitwise_ops.pyi	3.52 KB	Del OK
char.pyi	7.86 KB	Del OK
chararray.pyi	6.16 KB	Del OK
comparisons.pyi	7.83 KB	Del OK
constants.pyi	1.89 KB	Del OK
ctypeslib.pyi	4.99 KB	Del OK
datasource.pyi	557 B	Del OK
dtype.pyi	2.72 KB	Del OK
einsumfunc.pyi	2.12 KB	Del OK
emath.pyi	2.48 KB	Del OK
false_positives.pyi	349 B	Del OK
fft.pyi	1.81 KB	Del OK
flatiter.pyi	819 B	Del OK
fromnumeric.pyi	13.31 KB	Del OK
getlimits.pyi	1.51 KB	Del OK
histograms.pyi	1.36 KB	Del OK
index_tricks.pyi	3.4 KB	Del OK
lib_function_base.pyi	8.93 KB	Del OK
lib_polynomial.pyi	6.2 KB	Del OK
lib_utils.pyi	917 B	Del OK
lib_version.pyi	605 B	Del OK
linalg.pyi	5.09 KB	Del OK
matrix.pyi	2.96 KB	Del OK
memmap.pyi	755 B	Del OK
mod.pyi	5.85 KB	Del OK
modules.pyi	1.95 KB	Del OK
multiarray.pyi	5.54 KB	Del OK
nbit_base_example.pyi	500 B	Del OK
ndarray_conversion.pyi	1.87 KB	Del OK
ndarray_misc.pyi	7.61 KB	Del OK
ndarray_shape_manipulation.pyi	904 B	Del OK
nditer.pyi	2.02 KB	Del OK
nested_sequence.pyi	648 B	Del OK
npyio.pyi	4.33 KB	Del OK
numeric.pyi	6.64 KB	Del OK
numerictypes.pyi	1.67 KB	Del OK
random.pyi	126.47 KB	Del OK
rec.pyi	3.3 KB	Del OK
scalars.pyi	5.22 KB	Del OK
shape_base.pyi	2.57 KB	Del OK
stride_tricks.pyi	1.53 KB	Del OK
testing.pyi	8.67 KB	Del OK
twodim_base.pyi	3.25 KB	Del OK
type_check.pyi	2.96 KB	Del OK
ufunc_config.pyi	1.27 KB	Del OK
ufunclike.pyi	1.29 KB	Del OK
ufuncs.pyi	2.85 KB	Del OK
version.pyi	313 B	Del OK
warnings_and_errors.pyi	420 B	Del OK

Edit: type_check.pyi

import numpy as np import numpy.typing as npt from numpy._typing import _128Bit f8: np.float64 f: float # NOTE: Avoid importing the platform specific `np.float128` type AR_i8: npt.NDArray[np.int64] AR_i4: npt.NDArray[np.int32] AR_f2: npt.NDArray[np.float16] AR_f8: npt.NDArray[np.float64] AR_f16: npt.NDArray[np.floating[_128Bit]] AR_c8: npt.NDArray[np.complex64] AR_c16: npt.NDArray[np.complex128] AR_LIKE_f: list[float] class RealObj: real: slice class ImagObj: imag: slice reveal_type(np.mintypecode(["f8"], typeset="qfQF")) reveal_type(np.asfarray(AR_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.asfarray(AR_LIKE_f)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.asfarray(AR_f8, dtype="c16")) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.asfarray(AR_f8, dtype="i8")) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.real(RealObj())) # E: slice reveal_type(np.real(AR_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.real(AR_c16)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.real(AR_LIKE_f)) # E: ndarray[Any, dtype[Any]] reveal_type(np.imag(ImagObj())) # E: slice reveal_type(np.imag(AR_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.imag(AR_c16)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.imag(AR_LIKE_f)) # E: ndarray[Any, dtype[Any]] reveal_type(np.iscomplex(f8)) # E: bool_ reveal_type(np.iscomplex(AR_f8)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.iscomplex(AR_LIKE_f)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.isreal(f8)) # E: bool_ reveal_type(np.isreal(AR_f8)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.isreal(AR_LIKE_f)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.iscomplexobj(f8)) # E: bool reveal_type(np.isrealobj(f8)) # E: bool reveal_type(np.nan_to_num(f8)) # E: {float64} reveal_type(np.nan_to_num(f, copy=True)) # E: Any reveal_type(np.nan_to_num(AR_f8, nan=1.5)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.nan_to_num(AR_LIKE_f, posinf=9999)) # E: ndarray[Any, dtype[Any]] reveal_type(np.real_if_close(AR_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.real_if_close(AR_c16)) # E: Union[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{complex128}]]] reveal_type(np.real_if_close(AR_c8)) # E: Union[ndarray[Any, dtype[{float32}]], ndarray[Any, dtype[{complex64}]]] reveal_type(np.real_if_close(AR_LIKE_f)) # E: ndarray[Any, dtype[Any]] reveal_type(np.typename("h")) # E: Literal['short'] reveal_type(np.typename("B")) # E: Literal['unsigned char'] reveal_type(np.typename("V")) # E: Literal['void'] reveal_type(np.typename("S1")) # E: Literal['character'] reveal_type(np.common_type(AR_i4)) # E: Type[{float64}] reveal_type(np.common_type(AR_f2)) # E: Type[{float16}] reveal_type(np.common_type(AR_f2, AR_i4)) # E: Type[{float64}] reveal_type(np.common_type(AR_f16, AR_i4)) # E: Type[{float128}] reveal_type(np.common_type(AR_c8, AR_f2)) # E: Type[{complex64}] reveal_type(np.common_type(AR_f2, AR_c8, AR_i4)) # E: Type[{complex128}]
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