46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
from typing import Any, Final, TypeVar, overload
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from typing import Literal as L
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from numpy import complexfloating, floating, generic, integer
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from numpy._typing import (
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ArrayLike,
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NDArray,
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_ArrayLike,
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_ArrayLikeComplex_co,
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_ArrayLikeFloat_co,
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_ShapeLike,
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)
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__all__ = ["fftfreq", "fftshift", "ifftshift", "rfftfreq"]
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_ScalarT = TypeVar("_ScalarT", bound=generic)
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###
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integer_types: Final[tuple[type[int], type[integer]]] = ...
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###
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@overload
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def fftshift(x: _ArrayLike[_ScalarT], axes: _ShapeLike | None = None) -> NDArray[_ScalarT]: ...
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@overload
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def fftshift(x: ArrayLike, axes: _ShapeLike | None = None) -> NDArray[Any]: ...
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#
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@overload
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def ifftshift(x: _ArrayLike[_ScalarT], axes: _ShapeLike | None = None) -> NDArray[_ScalarT]: ...
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@overload
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def ifftshift(x: ArrayLike, axes: _ShapeLike | None = None) -> NDArray[Any]: ...
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#
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@overload
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def fftfreq(n: int | integer, d: _ArrayLikeFloat_co = 1.0, device: L["cpu"] | None = None) -> NDArray[floating]: ...
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@overload
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def fftfreq(n: int | integer, d: _ArrayLikeComplex_co = 1.0, device: L["cpu"] | None = None) -> NDArray[complexfloating]: ...
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#
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@overload
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def rfftfreq(n: int | integer, d: _ArrayLikeFloat_co = 1.0, device: L["cpu"] | None = None) -> NDArray[floating]: ...
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@overload
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def rfftfreq(n: int | integer, d: _ArrayLikeComplex_co = 1.0, device: L["cpu"] | None = None) -> NDArray[complexfloating]: ...
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