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File/Folder	Size	Actions
__init__.py	2.7 KB	Del OK
__init__.pyi	5.46 KB	Del OK
__pycache__	-	Del OK
_datasource.py	22.1 KB	Del OK
_iotools.py	30.14 KB	Del OK
_version.py	4.74 KB	Del OK
_version.pyi	633 B	Del OK
arraypad.py	31.06 KB	Del OK
arraypad.pyi	1.69 KB	Del OK
arraysetops.py	32.87 KB	Del OK
arraysetops.pyi	8.14 KB	Del OK
arrayterator.py	6.9 KB	Del OK
arrayterator.pyi	1.5 KB	Del OK
format.py	33.95 KB	Del OK
format.pyi	748 B	Del OK
function_base.py	184.67 KB	Del OK
function_base.pyi	16.2 KB	Del OK
histograms.py	36.81 KB	Del OK
histograms.pyi	995 B	Del OK
index_tricks.py	30.61 KB	Del OK
index_tricks.pyi	4.15 KB	Del OK
mixins.py	6.91 KB	Del OK
mixins.pyi	3.04 KB	Del OK
nanfunctions.py	64.23 KB	Del OK
nanfunctions.pyi	606 B	Del OK
npyio.py	95.04 KB	Del OK
npyio.pyi	9.5 KB	Del OK
polynomial.py	43.1 KB	Del OK
polynomial.pyi	6.79 KB	Del OK
recfunctions.py	58.03 KB	Del OK
scimath.py	14.68 KB	Del OK
scimath.pyi	2.82 KB	Del OK
setup.py	405 B	Del OK
shape_base.py	38.03 KB	Del OK
shape_base.pyi	5.06 KB	Del OK
stride_tricks.py	17.49 KB	Del OK
stride_tricks.pyi	1.71 KB	Del OK
tests	-	Del OK
twodim_base.py	32.17 KB	Del OK
twodim_base.pyi	5.24 KB	Del OK
type_check.py	19.49 KB	Del OK
type_check.pyi	5.44 KB	Del OK
ufunclike.py	6.18 KB	Del OK
ufunclike.pyi	1.26 KB	Del OK
user_array.py	7.54 KB	Del OK
utils.py	36.92 KB	Del OK
utils.pyi	2.3 KB	Del OK

Edit: type_check.pyi

from collections.abc import Container, Iterable from typing import ( Literal as L, Any, overload, TypeVar, Protocol, ) from numpy import ( dtype, generic, bool_, floating, float64, complexfloating, integer, ) from numpy._typing import ( ArrayLike, DTypeLike, NBitBase, NDArray, _64Bit, _SupportsDType, _ScalarLike_co, _ArrayLike, _DTypeLikeComplex, ) _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _SCT = TypeVar("_SCT", bound=generic) _NBit1 = TypeVar("_NBit1", bound=NBitBase) _NBit2 = TypeVar("_NBit2", bound=NBitBase) class _SupportsReal(Protocol[_T_co]): @property def real(self) -> _T_co: ... class _SupportsImag(Protocol[_T_co]): @property def imag(self) -> _T_co: ... __all__: list[str] def mintypecode( typechars: Iterable[str | ArrayLike], typeset: Container[str] = ..., default: str = ..., ) -> str: ... # `asfarray` ignores dtypes if they're not inexact @overload def asfarray( a: object, dtype: None | type[float] = ..., ) -> NDArray[float64]: ... @overload def asfarray( # type: ignore[misc] a: Any, dtype: _DTypeLikeComplex, ) -> NDArray[complexfloating[Any, Any]]: ... @overload def asfarray( a: Any, dtype: DTypeLike, ) -> NDArray[floating[Any]]: ... @overload def real(val: _SupportsReal[_T]) -> _T: ... @overload def real(val: ArrayLike) -> NDArray[Any]: ... @overload def imag(val: _SupportsImag[_T]) -> _T: ... @overload def imag(val: ArrayLike) -> NDArray[Any]: ... @overload def iscomplex(x: _ScalarLike_co) -> bool_: ... # type: ignore[misc] @overload def iscomplex(x: ArrayLike) -> NDArray[bool_]: ... @overload def isreal(x: _ScalarLike_co) -> bool_: ... # type: ignore[misc] @overload def isreal(x: ArrayLike) -> NDArray[bool_]: ... def iscomplexobj(x: _SupportsDType[dtype[Any]] | ArrayLike) -> bool: ... def isrealobj(x: _SupportsDType[dtype[Any]] | ArrayLike) -> bool: ... @overload def nan_to_num( # type: ignore[misc] x: _SCT, copy: bool = ..., nan: float = ..., posinf: None | float = ..., neginf: None | float = ..., ) -> _SCT: ... @overload def nan_to_num( x: _ScalarLike_co, copy: bool = ..., nan: float = ..., posinf: None | float = ..., neginf: None | float = ..., ) -> Any: ... @overload def nan_to_num( x: _ArrayLike[_SCT], copy: bool = ..., nan: float = ..., posinf: None | float = ..., neginf: None | float = ..., ) -> NDArray[_SCT]: ... @overload def nan_to_num( x: ArrayLike, copy: bool = ..., nan: float = ..., posinf: None | float = ..., neginf: None | float = ..., ) -> NDArray[Any]: ... # If one passes a complex array to `real_if_close`, then one is reasonably # expected to verify the output dtype (so we can return an unsafe union here) @overload def real_if_close( # type: ignore[misc] a: _ArrayLike[complexfloating[_NBit1, _NBit1]], tol: float = ..., ) -> NDArray[floating[_NBit1]] | NDArray[complexfloating[_NBit1, _NBit1]]: ... @overload def real_if_close( a: _ArrayLike[_SCT], tol: float = ..., ) -> NDArray[_SCT]: ... @overload def real_if_close( a: ArrayLike, tol: float = ..., ) -> NDArray[Any]: ... @overload def typename(char: L['S1']) -> L['character']: ... @overload def typename(char: L['?']) -> L['bool']: ... @overload def typename(char: L['b']) -> L['signed char']: ... @overload def typename(char: L['B']) -> L['unsigned char']: ... @overload def typename(char: L['h']) -> L['short']: ... @overload def typename(char: L['H']) -> L['unsigned short']: ... @overload def typename(char: L['i']) -> L['integer']: ... @overload def typename(char: L['I']) -> L['unsigned integer']: ... @overload def typename(char: L['l']) -> L['long integer']: ... @overload def typename(char: L['L']) -> L['unsigned long integer']: ... @overload def typename(char: L['q']) -> L['long long integer']: ... @overload def typename(char: L['Q']) -> L['unsigned long long integer']: ... @overload def typename(char: L['f']) -> L['single precision']: ... @overload def typename(char: L['d']) -> L['double precision']: ... @overload def typename(char: L['g']) -> L['long precision']: ... @overload def typename(char: L['F']) -> L['complex single precision']: ... @overload def typename(char: L['D']) -> L['complex double precision']: ... @overload def typename(char: L['G']) -> L['complex long double precision']: ... @overload def typename(char: L['S']) -> L['string']: ... @overload def typename(char: L['U']) -> L['unicode']: ... @overload def typename(char: L['V']) -> L['void']: ... @overload def typename(char: L['O']) -> L['object']: ... @overload def common_type( # type: ignore[misc] *arrays: _SupportsDType[dtype[ integer[Any] ]] ) -> type[floating[_64Bit]]: ... @overload def common_type( # type: ignore[misc] *arrays: _SupportsDType[dtype[ floating[_NBit1] ]] ) -> type[floating[_NBit1]]: ... @overload def common_type( # type: ignore[misc] *arrays: _SupportsDType[dtype[ integer[Any] | floating[_NBit1] ]] ) -> type[floating[_NBit1 | _64Bit]]: ... @overload def common_type( # type: ignore[misc] *arrays: _SupportsDType[dtype[ floating[_NBit1] | complexfloating[_NBit2, _NBit2] ]] ) -> type[complexfloating[_NBit1 | _NBit2, _NBit1 | _NBit2]]: ... @overload def common_type( *arrays: _SupportsDType[dtype[ integer[Any] | floating[_NBit1] | complexfloating[_NBit2, _NBit2] ]] ) -> type[complexfloating[_64Bit | _NBit1 | _NBit2, _64Bit | _NBit1 | _NBit2]]: ...
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