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from typing import overload, Tuple, Union, Sequence, Any, SupportsIndex, Literal, List
from numpy import ndarray
from numpy.typing import ArrayLike, DTypeLike, _SupportsArray, _NumberLike_co
# TODO: wait for support for recursive types
_ArrayLikeNested = Sequence[Sequence[Any]]
_ArrayLikeNumber = Union[
_NumberLike_co, Sequence[_NumberLike_co], ndarray, _SupportsArray, _ArrayLikeNested
]
__all__: List[str]
@overload
def linspace(
start: _ArrayLikeNumber,
stop: _ArrayLikeNumber,
num: SupportsIndex = ...,
endpoint: bool = ...,
retstep: Literal[False] = ...,
dtype: DTypeLike = ...,
axis: SupportsIndex = ...,
) -> ndarray: ...
@overload
def linspace(
start: _ArrayLikeNumber,
stop: _ArrayLikeNumber,
num: SupportsIndex = ...,
endpoint: bool = ...,
retstep: Literal[True] = ...,
dtype: DTypeLike = ...,
axis: SupportsIndex = ...,
) -> Tuple[ndarray, Any]: ...
def logspace(
start: _ArrayLikeNumber,
stop: _ArrayLikeNumber,
num: SupportsIndex = ...,
endpoint: bool = ...,
base: _ArrayLikeNumber = ...,
dtype: DTypeLike = ...,
axis: SupportsIndex = ...,
) -> ndarray: ...
def geomspace(
start: _ArrayLikeNumber,
stop: _ArrayLikeNumber,
num: SupportsIndex = ...,
endpoint: bool = ...,
dtype: DTypeLike = ...,
axis: SupportsIndex = ...,
) -> ndarray: ...
# Re-exported to `np.lib.function_base`
def add_newdoc(
place: str,
obj: str,
doc: str | Tuple[str, str] | List[Tuple[str, str]],
warn_on_python: bool = ...,
) -> None: ...
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