34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
"""
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This type stub file was generated by pyright.
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"""
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from typing import Any, Literal as L, Protocol, TypeVar, overload
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from numpy import generic
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from numpy._typing import ArrayLike, NDArray, _ArrayLike, _ArrayLikeInt
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_SCT = TypeVar("_SCT", bound=generic)
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class _ModeFunc(Protocol):
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def __call__(self, vector: NDArray[Any], iaxis_pad_width: tuple[int, int], iaxis: int, kwargs: dict[str, Any], /) -> None:
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...
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_ModeKind = L["constant", "edge", "linear_ramp", "maximum", "mean", "median", "minimum", "reflect", "symmetric", "wrap", "empty",]
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__all__: list[str]
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@overload
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def pad(array: _ArrayLike[_SCT], pad_width: _ArrayLikeInt, mode: _ModeKind = ..., *, stat_length: None | _ArrayLikeInt = ..., constant_values: ArrayLike = ..., end_values: ArrayLike = ..., reflect_type: L["odd", "even"] = ...) -> NDArray[_SCT]:
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...
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@overload
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def pad(array: ArrayLike, pad_width: _ArrayLikeInt, mode: _ModeKind = ..., *, stat_length: None | _ArrayLikeInt = ..., constant_values: ArrayLike = ..., end_values: ArrayLike = ..., reflect_type: L["odd", "even"] = ...) -> NDArray[Any]:
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...
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@overload
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def pad(array: _ArrayLike[_SCT], pad_width: _ArrayLikeInt, mode: _ModeFunc, **kwargs: Any) -> NDArray[_SCT]:
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...
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@overload
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def pad(array: ArrayLike, pad_width: _ArrayLikeInt, mode: _ModeFunc, **kwargs: Any) -> NDArray[Any]:
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...
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