JezK
Edit File: 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: ...