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Code Editor : numeric.pyi
import sys from typing import ( Any, Optional, Union, Sequence, Tuple, Callable, List, overload, TypeVar, Iterable, ) from numpy import ndarray, generic, dtype, bool_, signedinteger, _OrderKACF, _OrderCF from numpy.typing import ArrayLike, DTypeLike, _ShapeLike if sys.version_info >= (3, 8): from typing import Literal else: from typing_extensions import Literal _T = TypeVar("_T") _ArrayType = TypeVar("_ArrayType", bound=ndarray) _CorrelateMode = Literal["valid", "same", "full"] @overload def zeros_like( a: _ArrayType, dtype: None = ..., order: _OrderKACF = ..., subok: Literal[True] = ..., shape: None = ..., ) -> _ArrayType: ... @overload def zeros_like( a: ArrayLike, dtype: DTypeLike = ..., order: _OrderKACF = ..., subok: bool = ..., shape: Optional[_ShapeLike] = ..., ) -> ndarray: ... def ones( shape: _ShapeLike, dtype: DTypeLike = ..., order: _OrderCF = ..., *, like: ArrayLike = ..., ) -> ndarray: ... @overload def ones_like( a: _ArrayType, dtype: None = ..., order: _OrderKACF = ..., subok: Literal[True] = ..., shape: None = ..., ) -> _ArrayType: ... @overload def ones_like( a: ArrayLike, dtype: DTypeLike = ..., order: _OrderKACF = ..., subok: bool = ..., shape: Optional[_ShapeLike] = ..., ) -> ndarray: ... @overload def empty_like( a: _ArrayType, dtype: None = ..., order: _OrderKACF = ..., subok: Literal[True] = ..., shape: None = ..., ) -> _ArrayType: ... @overload def empty_like( a: ArrayLike, dtype: DTypeLike = ..., order: _OrderKACF = ..., subok: bool = ..., shape: Optional[_ShapeLike] = ..., ) -> ndarray: ... def full( shape: _ShapeLike, fill_value: Any, dtype: DTypeLike = ..., order: _OrderCF = ..., *, like: ArrayLike = ..., ) -> ndarray: ... @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, fill_value: Any, dtype: DTypeLike = ..., order: _OrderKACF = ..., subok: bool = ..., shape: Optional[_ShapeLike] = ..., ) -> ndarray: ... @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: Union[ndarray, generic]) -> bool: ... def argwhere(a: ArrayLike) -> ndarray: ... def flatnonzero(a: ArrayLike) -> ndarray: ... def correlate( a: ArrayLike, v: ArrayLike, mode: _CorrelateMode = ..., ) -> ndarray: ... def convolve( a: ArrayLike, v: ArrayLike, mode: _CorrelateMode = ..., ) -> ndarray: ... @overload def outer( a: ArrayLike, b: ArrayLike, out: None = ..., ) -> ndarray: ... @overload def outer( a: ArrayLike, b: ArrayLike, out: _ArrayType = ..., ) -> _ArrayType: ... def tensordot( a: ArrayLike, b: ArrayLike, axes: Union[int, Tuple[_ShapeLike, _ShapeLike]] = ..., ) -> ndarray: ... def roll( a: ArrayLike, shift: _ShapeLike, axis: Optional[_ShapeLike] = ..., ) -> ndarray: ... def rollaxis(a: ndarray, axis: int, start: int = ...) -> ndarray: ... def moveaxis( a: ndarray, source: _ShapeLike, destination: _ShapeLike, ) -> ndarray: ... def cross( a: ArrayLike, b: ArrayLike, axisa: int = ..., axisb: int = ..., axisc: int = ..., axis: Optional[int] = ..., ) -> ndarray: ... @overload def indices( dimensions: Sequence[int], dtype: DTypeLike = ..., sparse: Literal[False] = ..., ) -> ndarray: ... @overload def indices( dimensions: Sequence[int], dtype: DTypeLike = ..., sparse: Literal[True] = ..., ) -> Tuple[ndarray, ...]: ... def fromfunction( function: Callable[..., _T], shape: Sequence[int], *, dtype: DTypeLike = ..., like: ArrayLike = ..., **kwargs: Any, ) -> _T: ... def isscalar(element: Any) -> bool: ... def binary_repr(num: int, width: Optional[int] = ...) -> str: ... def base_repr(number: int, base: int = ..., padding: int = ...) -> str: ... def identity( n: int, dtype: DTypeLike = ..., *, like: ArrayLike = ..., ) -> ndarray: ... def allclose( a: ArrayLike, b: ArrayLike, rtol: float = ..., atol: float = ..., equal_nan: bool = ..., ) -> bool: ... def isclose( a: ArrayLike, b: ArrayLike, rtol: float = ..., atol: float = ..., equal_nan: bool = ..., ) -> Any: ... def array_equal(a1: ArrayLike, a2: ArrayLike, equal_nan: bool = ...) -> bool: ... def array_equiv(a1: ArrayLike, a2: ArrayLike) -> bool: ...
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