LSST Applications: /j/snowflake/release/lsstsw/stack/lsst-scipipe-10.0.0/Linux64/scarlet_lite/gd9a9a58781+fcb1d3bbc8/python/lsst/scarlet/lite/fft.py File Reference

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Classes
class	lsst.scarlet.lite.fft.Fourier

Namespaces
namespace	lsst

namespace	lsst.scarlet

namespace	lsst.scarlet.lite

namespace	lsst.scarlet.lite.fft

Functions
np.ndarray	lsst.scarlet.lite.fft.centered (np.ndarray arr, Sequence[int] newshape)

np.ndarray	lsst.scarlet.lite.fft.fast_zero_pad (np.ndarray arr, Sequence[Sequence[int]] pad_width)

np.ndarray	lsst.scarlet.lite.fft._pad (np.ndarray arr, Sequence[int] newshape, int\|Sequence[int]\|None axes=None, str mode="constant", float constant_values=0)

tuple	lsst.scarlet.lite.fft.get_fft_shape (np.ndarray\|Sequence[int] im_or_shape1, np.ndarray\|Sequence[int] im_or_shape2, int padding=3, int\|Sequence[int]\|None axes=None, bool use_max=False)

Fourier	lsst.scarlet.lite.fft._kspace_operation (Fourier image1, Fourier image2, int padding, Callable op, Sequence[int] shape, int\|Sequence[int] axes)

Fourier\|np.ndarray	lsst.scarlet.lite.fft.match_kernel (np.ndarray\|Fourier kernel1, np.ndarray\|Fourier kernel2, int padding=3, int\|Sequence[int] axes=(-2, -1), bool return_fourier=True, bool normalize=False)

np.ndarray\|Fourier	lsst.scarlet.lite.fft.convolve (np.ndarray\|Fourier image, np.ndarray\|Fourier kernel, int padding=3, int\|Sequence[int] axes=(-2, -1), bool return_fourier=True, bool normalize=False)