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__init__.py	5.64 KB	Del OK
__init__.pyi	126 B	Del OK
__pycache__	-	Del OK
_add_newdocs.py	204.07 KB	Del OK
_add_newdocs_scalars.py	11.82 KB	Del OK
_asarray.py	3.79 KB	Del OK
_asarray.pyi	1.06 KB	Del OK
_dtype.py	10.36 KB	Del OK
_dtype_ctypes.py	3.59 KB	Del OK
_exceptions.py	5.25 KB	Del OK
_internal.py	27.68 KB	Del OK
_internal.pyi	1.01 KB	Del OK
_machar.py	11.29 KB	Del OK
_methods.py	8.41 KB	Del OK
_multiarray_tests.cpython-311-x86_64-linux-gnu.so	171.79 KB	Del OK
_multiarray_umath.cpython-311-x86_64-linux-gnu.so	6.66 MB	Del OK
_operand_flag_tests.cpython-311-x86_64-linux-gnu.so	16.67 KB	Del OK
_rational_tests.cpython-311-x86_64-linux-gnu.so	58.41 KB	Del OK
_simd.cpython-311-x86_64-linux-gnu.so	2.47 MB	Del OK
_string_helpers.py	2.79 KB	Del OK
_struct_ufunc_tests.cpython-311-x86_64-linux-gnu.so	16.77 KB	Del OK
_type_aliases.py	7.36 KB	Del OK
_type_aliases.pyi	404 B	Del OK
_ufunc_config.py	13.62 KB	Del OK
_ufunc_config.pyi	1.04 KB	Del OK
_umath_tests.cpython-311-x86_64-linux-gnu.so	41.32 KB	Del OK
arrayprint.py	62.12 KB	Del OK
arrayprint.pyi	4.32 KB	Del OK
cversions.py	347 B	Del OK
defchararray.py	71.89 KB	Del OK
defchararray.pyi	9 KB	Del OK
einsumfunc.py	50.65 KB	Del OK
einsumfunc.pyi	4.75 KB	Del OK
fromnumeric.py	125.8 KB	Del OK
fromnumeric.pyi	22.96 KB	Del OK
function_base.py	19.37 KB	Del OK
function_base.pyi	4.61 KB	Del OK
generate_numpy_api.py	7.47 KB	Del OK
getlimits.py	25.26 KB	Del OK
getlimits.pyi	82 B	Del OK
include	-	Del OK
lib	-	Del OK
memmap.py	11.5 KB	Del OK
memmap.pyi	55 B	Del OK
multiarray.py	54.78 KB	Del OK
multiarray.pyi	24.19 KB	Del OK
numeric.py	75.21 KB	Del OK
numeric.pyi	13.9 KB	Del OK
numerictypes.py	17.67 KB	Del OK
numerictypes.pyi	3.19 KB	Del OK
overrides.py	6.93 KB	Del OK
records.py	36.65 KB	Del OK
records.pyi	5.56 KB	Del OK
setup.py	47.05 KB	Del OK
setup_common.py	16.68 KB	Del OK
shape_base.py	29.05 KB	Del OK
shape_base.pyi	2.71 KB	Del OK
tests	-	Del OK
umath.py	1.99 KB	Del OK
umath_tests.py	389 B	Del OK

Edit: numeric.pyi

from collections.abc import Callable, Sequence from typing import ( Any, overload, TypeVar, Literal, SupportsAbs, SupportsIndex, NoReturn, ) from typing_extensions import TypeGuard from numpy import ( ComplexWarning as ComplexWarning, generic, unsignedinteger, signedinteger, floating, complexfloating, bool_, int_, intp, float64, timedelta64, object_, _OrderKACF, _OrderCF, ) from numpy._typing import ( ArrayLike, NDArray, DTypeLike, _ShapeLike, _DTypeLike, _ArrayLike, _SupportsArrayFunc, _ScalarLike_co, _ArrayLikeBool_co, _ArrayLikeUInt_co, _ArrayLikeInt_co, _ArrayLikeFloat_co, _ArrayLikeComplex_co, _ArrayLikeTD64_co, _ArrayLikeObject_co, _ArrayLikeUnknown, ) _T = TypeVar("_T") _SCT = TypeVar("_SCT", bound=generic) _ArrayType = TypeVar("_ArrayType", bound=NDArray[Any]) _CorrelateMode = Literal["valid", "same", "full"] __all__: list[str] @overload def zeros_like( a: _ArrayType, dtype: None = ..., order: _OrderKACF = ..., subok: Literal[True] = ..., shape: None = ..., ) -> _ArrayType: ... @overload def zeros_like( a: _ArrayLike[_SCT], dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike = ..., ) -> NDArray[_SCT]: ... @overload def zeros_like( a: object, dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[Any]: ... @overload def zeros_like( a: Any, dtype: _DTypeLike[_SCT], order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[_SCT]: ... @overload def zeros_like( a: Any, dtype: DTypeLike, order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[Any]: ... @overload def ones( shape: _ShapeLike, dtype: None = ..., order: _OrderCF = ..., *, like: _SupportsArrayFunc = ..., ) -> NDArray[float64]: ... @overload def ones( shape: _ShapeLike, dtype: _DTypeLike[_SCT], order: _OrderCF = ..., *, like: _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def ones( shape: _ShapeLike, dtype: DTypeLike, order: _OrderCF = ..., *, like: _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def ones_like( a: _ArrayType, dtype: None = ..., order: _OrderKACF = ..., subok: Literal[True] = ..., shape: None = ..., ) -> _ArrayType: ... @overload def ones_like( a: _ArrayLike[_SCT], dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike = ..., ) -> NDArray[_SCT]: ... @overload def ones_like( a: object, dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[Any]: ... @overload def ones_like( a: Any, dtype: _DTypeLike[_SCT], order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[_SCT]: ... @overload def ones_like( a: Any, dtype: DTypeLike, order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[Any]: ... @overload def full( shape: _ShapeLike, fill_value: Any, dtype: None = ..., order: _OrderCF = ..., *, like: _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def full( shape: _ShapeLike, fill_value: Any, dtype: _DTypeLike[_SCT], order: _OrderCF = ..., *, like: _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def full( shape: _ShapeLike, fill_value: Any, dtype: DTypeLike, order: _OrderCF = ..., *, like: _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def full_like( a: _ArrayType, fill_value: Any, dtype: None = ..., order: _OrderKACF = ..., subok: Literal[True] = ..., shape: None = ..., ) -> _ArrayType: ... @overload def full_like( a: _ArrayLike[_SCT], fill_value: Any, dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike = ..., ) -> NDArray[_SCT]: ... @overload def full_like( a: object, fill_value: Any, dtype: None = ..., order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[Any]: ... @overload def full_like( a: Any, fill_value: Any, dtype: _DTypeLike[_SCT], order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[_SCT]: ... @overload def full_like( a: Any, fill_value: Any, dtype: DTypeLike, order: _OrderKACF = ..., subok: bool = ..., shape: None | _ShapeLike= ..., ) -> NDArray[Any]: ... @overload def count_nonzero( a: ArrayLike, axis: None = ..., *, keepdims: Literal[False] = ..., ) -> int: ... @overload def count_nonzero( a: ArrayLike, axis: _ShapeLike = ..., *, keepdims: bool = ..., ) -> Any: ... # TODO: np.intp or ndarray[np.intp] def isfortran(a: NDArray[Any] | generic) -> bool: ... def argwhere(a: ArrayLike) -> NDArray[intp]: ... def flatnonzero(a: ArrayLike) -> NDArray[intp]: ... @overload def correlate( a: _ArrayLikeUnknown, v: _ArrayLikeUnknown, mode: _CorrelateMode = ..., ) -> NDArray[Any]: ... @overload def correlate( a: _ArrayLikeBool_co, v: _ArrayLikeBool_co, mode: _CorrelateMode = ..., ) -> NDArray[bool_]: ... @overload def correlate( a: _ArrayLikeUInt_co, v: _ArrayLikeUInt_co, mode: _CorrelateMode = ..., ) -> NDArray[unsignedinteger[Any]]: ... @overload def correlate( a: _ArrayLikeInt_co, v: _ArrayLikeInt_co, mode: _CorrelateMode = ..., ) -> NDArray[signedinteger[Any]]: ... @overload def correlate( a: _ArrayLikeFloat_co, v: _ArrayLikeFloat_co, mode: _CorrelateMode = ..., ) -> NDArray[floating[Any]]: ... @overload def correlate( a: _ArrayLikeComplex_co, v: _ArrayLikeComplex_co, mode: _CorrelateMode = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def correlate( a: _ArrayLikeTD64_co, v: _ArrayLikeTD64_co, mode: _CorrelateMode = ..., ) -> NDArray[timedelta64]: ... @overload def correlate( a: _ArrayLikeObject_co, v: _ArrayLikeObject_co, mode: _CorrelateMode = ..., ) -> NDArray[object_]: ... @overload def convolve( a: _ArrayLikeUnknown, v: _ArrayLikeUnknown, mode: _CorrelateMode = ..., ) -> NDArray[Any]: ... @overload def convolve( a: _ArrayLikeBool_co, v: _ArrayLikeBool_co, mode: _CorrelateMode = ..., ) -> NDArray[bool_]: ... @overload def convolve( a: _ArrayLikeUInt_co, v: _ArrayLikeUInt_co, mode: _CorrelateMode = ..., ) -> NDArray[unsignedinteger[Any]]: ... @overload def convolve( a: _ArrayLikeInt_co, v: _ArrayLikeInt_co, mode: _CorrelateMode = ..., ) -> NDArray[signedinteger[Any]]: ... @overload def convolve( a: _ArrayLikeFloat_co, v: _ArrayLikeFloat_co, mode: _CorrelateMode = ..., ) -> NDArray[floating[Any]]: ... @overload def convolve( a: _ArrayLikeComplex_co, v: _ArrayLikeComplex_co, mode: _CorrelateMode = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def convolve( a: _ArrayLikeTD64_co, v: _ArrayLikeTD64_co, mode: _CorrelateMode = ..., ) -> NDArray[timedelta64]: ... @overload def convolve( a: _ArrayLikeObject_co, v: _ArrayLikeObject_co, mode: _CorrelateMode = ..., ) -> NDArray[object_]: ... @overload def outer( a: _ArrayLikeUnknown, b: _ArrayLikeUnknown, out: None = ..., ) -> NDArray[Any]: ... @overload def outer( a: _ArrayLikeBool_co, b: _ArrayLikeBool_co, out: None = ..., ) -> NDArray[bool_]: ... @overload def outer( a: _ArrayLikeUInt_co, b: _ArrayLikeUInt_co, out: None = ..., ) -> NDArray[unsignedinteger[Any]]: ... @overload def outer( a: _ArrayLikeInt_co, b: _ArrayLikeInt_co, out: None = ..., ) -> NDArray[signedinteger[Any]]: ... @overload def outer( a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co, out: None = ..., ) -> NDArray[floating[Any]]: ... @overload def outer( a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co, out: None = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def outer( a: _ArrayLikeTD64_co, b: _ArrayLikeTD64_co, out: None = ..., ) -> NDArray[timedelta64]: ... @overload def outer( a: _ArrayLikeObject_co, b: _ArrayLikeObject_co, out: None = ..., ) -> NDArray[object_]: ... @overload def outer( a: _ArrayLikeComplex_co | _ArrayLikeTD64_co | _ArrayLikeObject_co, b: _ArrayLikeComplex_co | _ArrayLikeTD64_co | _ArrayLikeObject_co, out: _ArrayType, ) -> _ArrayType: ... @overload def tensordot( a: _ArrayLikeUnknown, b: _ArrayLikeUnknown, axes: int | tuple[_ShapeLike, _ShapeLike] = ..., ) -> NDArray[Any]: ... @overload def tensordot( a: _ArrayLikeBool_co, b: _ArrayLikeBool_co, axes: int | tuple[_ShapeLike, _ShapeLike] = ..., ) -> NDArray[bool_]: ... @overload def tensordot( a: _ArrayLikeUInt_co, b: _ArrayLikeUInt_co, axes: int | tuple[_ShapeLike, _ShapeLike] = ..., ) -> NDArray[unsignedinteger[Any]]: ... @overload def tensordot( a: _ArrayLikeInt_co, b: _ArrayLikeInt_co, axes: int | tuple[_ShapeLike, _ShapeLike] = ..., ) -> NDArray[signedinteger[Any]]: ... @overload def tensordot( a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co, axes: int | tuple[_ShapeLike, _ShapeLike] = ..., ) -> NDArray[floating[Any]]: ... @overload def tensordot( a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co, axes: int | tuple[_ShapeLike, _ShapeLike] = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def tensordot( a: _ArrayLikeTD64_co, b: _ArrayLikeTD64_co, axes: int | tuple[_ShapeLike, _ShapeLike] = ..., ) -> NDArray[timedelta64]: ... @overload def tensordot( a: _ArrayLikeObject_co, b: _ArrayLikeObject_co, axes: int | tuple[_ShapeLike, _ShapeLike] = ..., ) -> NDArray[object_]: ... @overload def roll( a: _ArrayLike[_SCT], shift: _ShapeLike, axis: None | _ShapeLike = ..., ) -> NDArray[_SCT]: ... @overload def roll( a: ArrayLike, shift: _ShapeLike, axis: None | _ShapeLike = ..., ) -> NDArray[Any]: ... def rollaxis( a: NDArray[_SCT], axis: int, start: int = ..., ) -> NDArray[_SCT]: ... def moveaxis( a: NDArray[_SCT], source: _ShapeLike, destination: _ShapeLike, ) -> NDArray[_SCT]: ... @overload def cross( a: _ArrayLikeUnknown, b: _ArrayLikeUnknown, axisa: int = ..., axisb: int = ..., axisc: int = ..., axis: None | int = ..., ) -> NDArray[Any]: ... @overload def cross( a: _ArrayLikeBool_co, b: _ArrayLikeBool_co, axisa: int = ..., axisb: int = ..., axisc: int = ..., axis: None | int = ..., ) -> NoReturn: ... @overload def cross( a: _ArrayLikeUInt_co, b: _ArrayLikeUInt_co, axisa: int = ..., axisb: int = ..., axisc: int = ..., axis: None | int = ..., ) -> NDArray[unsignedinteger[Any]]: ... @overload def cross( a: _ArrayLikeInt_co, b: _ArrayLikeInt_co, axisa: int = ..., axisb: int = ..., axisc: int = ..., axis: None | int = ..., ) -> NDArray[signedinteger[Any]]: ... @overload def cross( a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co, axisa: int = ..., axisb: int = ..., axisc: int = ..., axis: None | int = ..., ) -> NDArray[floating[Any]]: ... @overload def cross( a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co, axisa: int = ..., axisb: int = ..., axisc: int = ..., axis: None | int = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def cross( a: _ArrayLikeObject_co, b: _ArrayLikeObject_co, axisa: int = ..., axisb: int = ..., axisc: int = ..., axis: None | int = ..., ) -> NDArray[object_]: ... @overload def indices( dimensions: Sequence[int], dtype: type[int] = ..., sparse: Literal[False] = ..., ) -> NDArray[int_]: ... @overload def indices( dimensions: Sequence[int], dtype: type[int] = ..., sparse: Literal[True] = ..., ) -> tuple[NDArray[int_], ...]: ... @overload def indices( dimensions: Sequence[int], dtype: _DTypeLike[_SCT], sparse: Literal[False] = ..., ) -> NDArray[_SCT]: ... @overload def indices( dimensions: Sequence[int], dtype: _DTypeLike[_SCT], sparse: Literal[True], ) -> tuple[NDArray[_SCT], ...]: ... @overload def indices( dimensions: Sequence[int], dtype: DTypeLike, sparse: Literal[False] = ..., ) -> NDArray[Any]: ... @overload def indices( dimensions: Sequence[int], dtype: DTypeLike, sparse: Literal[True], ) -> tuple[NDArray[Any], ...]: ... def fromfunction( function: Callable[..., _T], shape: Sequence[int], *, dtype: DTypeLike = ..., like: _SupportsArrayFunc = ..., **kwargs: Any, ) -> _T: ... def isscalar(element: object) -> TypeGuard[ generic | bool | int | float | complex | str | bytes | memoryview ]: ... def binary_repr(num: int, width: None | int = ...) -> str: ... def base_repr( number: SupportsAbs[float], base: float = ..., padding: SupportsIndex = ..., ) -> str: ... @overload def identity( n: int, dtype: None = ..., *, like: _SupportsArrayFunc = ..., ) -> NDArray[float64]: ... @overload def identity( n: int, dtype: _DTypeLike[_SCT], *, like: _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def identity( n: int, dtype: DTypeLike, *, like: _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... def allclose( a: ArrayLike, b: ArrayLike, rtol: float = ..., atol: float = ..., equal_nan: bool = ..., ) -> bool: ... @overload def isclose( a: _ScalarLike_co, b: _ScalarLike_co, rtol: float = ..., atol: float = ..., equal_nan: bool = ..., ) -> bool_: ... @overload def isclose( a: ArrayLike, b: ArrayLike, rtol: float = ..., atol: float = ..., equal_nan: bool = ..., ) -> NDArray[bool_]: ... def array_equal(a1: ArrayLike, a2: ArrayLike, equal_nan: bool = ...) -> bool: ... def array_equiv(a1: ArrayLike, a2: ArrayLike) -> bool: ...
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