You can not select more than 25 topics
			Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
		
		
		
		
		
			
		
			
				
					
					
						
							109 lines
						
					
					
						
							2.3 KiB
						
					
					
				
			
		
		
	
	
							109 lines
						
					
					
						
							2.3 KiB
						
					
					
				from collections.abc import Sequence
 | 
						|
from typing import Literal as L
 | 
						|
 | 
						|
from numpy import complex128, float64
 | 
						|
from numpy._typing import ArrayLike, NDArray, _ArrayLikeNumber_co
 | 
						|
 | 
						|
_NormKind = L[None, "backward", "ortho", "forward"]
 | 
						|
 | 
						|
__all__: list[str]
 | 
						|
 | 
						|
def fft(
 | 
						|
    a: ArrayLike,
 | 
						|
    n: None | int = ...,
 | 
						|
    axis: int = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def ifft(
 | 
						|
    a: ArrayLike,
 | 
						|
    n: None | int = ...,
 | 
						|
    axis: int = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def rfft(
 | 
						|
    a: ArrayLike,
 | 
						|
    n: None | int = ...,
 | 
						|
    axis: int = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def irfft(
 | 
						|
    a: ArrayLike,
 | 
						|
    n: None | int = ...,
 | 
						|
    axis: int = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[float64]: ...
 | 
						|
 | 
						|
# Input array must be compatible with `np.conjugate`
 | 
						|
def hfft(
 | 
						|
    a: _ArrayLikeNumber_co,
 | 
						|
    n: None | int = ...,
 | 
						|
    axis: int = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[float64]: ...
 | 
						|
 | 
						|
def ihfft(
 | 
						|
    a: ArrayLike,
 | 
						|
    n: None | int = ...,
 | 
						|
    axis: int = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def fftn(
 | 
						|
    a: ArrayLike,
 | 
						|
    s: None | Sequence[int] = ...,
 | 
						|
    axes: None | Sequence[int] = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def ifftn(
 | 
						|
    a: ArrayLike,
 | 
						|
    s: None | Sequence[int] = ...,
 | 
						|
    axes: None | Sequence[int] = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def rfftn(
 | 
						|
    a: ArrayLike,
 | 
						|
    s: None | Sequence[int] = ...,
 | 
						|
    axes: None | Sequence[int] = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def irfftn(
 | 
						|
    a: ArrayLike,
 | 
						|
    s: None | Sequence[int] = ...,
 | 
						|
    axes: None | Sequence[int] = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[float64]: ...
 | 
						|
 | 
						|
def fft2(
 | 
						|
    a: ArrayLike,
 | 
						|
    s: None | Sequence[int] = ...,
 | 
						|
    axes: None | Sequence[int] = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def ifft2(
 | 
						|
    a: ArrayLike,
 | 
						|
    s: None | Sequence[int] = ...,
 | 
						|
    axes: None | Sequence[int] = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def rfft2(
 | 
						|
    a: ArrayLike,
 | 
						|
    s: None | Sequence[int] = ...,
 | 
						|
    axes: None | Sequence[int] = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[complex128]: ...
 | 
						|
 | 
						|
def irfft2(
 | 
						|
    a: ArrayLike,
 | 
						|
    s: None | Sequence[int] = ...,
 | 
						|
    axes: None | Sequence[int] = ...,
 | 
						|
    norm: _NormKind = ...,
 | 
						|
) -> NDArray[float64]: ...
 |