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LSST Applications 30.0.7,g0e76e35be5+e8e946ae08,g19811a7679+138f7293ba,g199a45376c+5e234f8357,g1fd858c14a+2f48dbc4c4,g262e1987ae+fb36cac54d,g29ae962dfc+d9108a0941,g2c21b0017a+4f59a27f16,g31e44d4a5c+b0138be388,g33ac35c1f1+28b9f72785,g35bb328faa+b0138be388,g40c9b15c53+823ad735c1,g47891489e3+bcc48a0b46,g53246c7159+b0138be388,g64539dfbff+e8e946ae08,g67b6fd64d1+bcc48a0b46,g74acd417e5+422380537a,g76965917b2+a5ca99c4d9,g786e29fd12+796b79145d,g7aefaa3e3d+dc0c200193,g86b635cae8+734fe384f0,g87389fa792+d8b5378923,g89139ef638+bcc48a0b46,g8bbb235e95+3f4f7f9447,g8ea07a8fe4+78a4c88802,g9290983e33+ffdc83c6f7,g92c671f44c+e8e946ae08,gaa753fd333+03f406da14,gbf99507273+b0138be388,gc49b57b85e+8df26ee1f0,gca7fc764a6+bcc48a0b46,gd7ef33dd92+bcc48a0b46,gdab6d2f7ff+422380537a,ge1c02a5578+b0138be388,ge410e46f29+bcc48a0b46,ge80df9fc40+e6db5413d1,geaed405ab2+1de65a85c6,gf5dcc679e7+35a0ce2edd,gf5f1c85443+e8e946ae08
LSST Data Management Base Package
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Go to the source code of this file.
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) |