Buckets:
| from typing import Any, Final, Literal as L, TypeVar, overload | |
| from numpy import complexfloating, floating, generic, integer | |
| from numpy._typing import ( | |
| ArrayLike, | |
| NDArray, | |
| _ArrayLike, | |
| _ArrayLikeComplex_co, | |
| _ArrayLikeFloat_co, | |
| _ShapeLike, | |
| ) | |
| __all__ = ["fftfreq", "fftshift", "ifftshift", "rfftfreq"] | |
| _ScalarT = TypeVar("_ScalarT", bound=generic) | |
| ### | |
| integer_types: Final[tuple[type[int], type[integer]]] = ... | |
| ### | |
| def fftshift(x: _ArrayLike[_ScalarT], axes: _ShapeLike | None = None) -> NDArray[_ScalarT]: ... | |
| def fftshift(x: ArrayLike, axes: _ShapeLike | None = None) -> NDArray[Any]: ... | |
| # | |
| def ifftshift(x: _ArrayLike[_ScalarT], axes: _ShapeLike | None = None) -> NDArray[_ScalarT]: ... | |
| def ifftshift(x: ArrayLike, axes: _ShapeLike | None = None) -> NDArray[Any]: ... | |
| # | |
| def fftfreq(n: int | integer, d: _ArrayLikeFloat_co = 1.0, device: L["cpu"] | None = None) -> NDArray[floating]: ... | |
| def fftfreq(n: int | integer, d: _ArrayLikeComplex_co = 1.0, device: L["cpu"] | None = None) -> NDArray[complexfloating]: ... | |
| # | |
| def rfftfreq(n: int | integer, d: _ArrayLikeFloat_co = 1.0, device: L["cpu"] | None = None) -> NDArray[floating]: ... | |
| def rfftfreq(n: int | integer, d: _ArrayLikeComplex_co = 1.0, device: L["cpu"] | None = None) -> NDArray[complexfloating]: ... | |
Xet Storage Details
- Size:
- 1.38 kB
- Xet hash:
- 1c9aa5075fc46274c2a7c30bc83812a592f40fd6ce386e33eba3b14b03f969dd
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.