Initialize Wavelets for each axis to be transformed. Parameters ---------- wavelet : Wavelet or tuple of Wavelets If a single Wavelet is provided, it will used for all axes. Otherwise one Wavelet per axis must be provided. axes : list The tuple of axes to be
(wavelet, axes)
| 34 | |
| 35 | |
| 36 | def _wavelets_per_axis(wavelet, axes): |
| 37 | """Initialize Wavelets for each axis to be transformed. |
| 38 | |
| 39 | Parameters |
| 40 | ---------- |
| 41 | wavelet : Wavelet or tuple of Wavelets |
| 42 | If a single Wavelet is provided, it will used for all axes. Otherwise |
| 43 | one Wavelet per axis must be provided. |
| 44 | axes : list |
| 45 | The tuple of axes to be transformed. |
| 46 | |
| 47 | Returns |
| 48 | ------- |
| 49 | wavelets : list of Wavelet objects |
| 50 | A tuple of Wavelets equal in length to ``axes``. |
| 51 | |
| 52 | """ |
| 53 | axes = tuple(axes) |
| 54 | if isinstance(wavelet, (str, Wavelet)): |
| 55 | # same wavelet on all axes |
| 56 | wavelets = [_as_wavelet(wavelet), ] * len(axes) |
| 57 | elif isinstance(wavelet, Iterable): |
| 58 | # (potentially) unique wavelet per axis (e.g. for dual-tree DWT) |
| 59 | if len(wavelet) == 1: |
| 60 | wavelets = [_as_wavelet(wavelet[0]), ] * len(axes) |
| 61 | else: |
| 62 | if len(wavelet) != len(axes): |
| 63 | raise ValueError( |
| 64 | "The number of wavelets must match the number of axes " |
| 65 | "to be transformed.") |
| 66 | wavelets = [_as_wavelet(w) for w in wavelet] |
| 67 | else: |
| 68 | raise ValueError("wavelet must be a str, Wavelet or iterable") |
| 69 | return wavelets |
| 70 | |
| 71 | |
| 72 | def _modes_per_axis(modes, axes): |
no test coverage detected