odlgroup / odl / 3109

87%

master: 79%

push

travis-ci

ENH/TST: implement wavelet transform in arbitrary dimensions

This commit basically rewrites the complete bindings to the
`pywt` backend. Most important changes are:

- All decompositions and reconstructions now work in arbitrary
  dimensions.
- The multi-level code for both directions recursively calls the
  corresponding single-level functionality. This is needed to
  prepare for the implementation of adjoints for non-biorthogonal
  wavelets since a correction step needs to be performed at each
  scaling level.
- The code is now much simpler and more generic.
- Tests are parametrized and should cover many more cases than
  the old tests.
- Documentation is now more specific and better structured.

84 of 84 new or added lines in 1 file covered. (100.0%)

5099 of 6671 relevant lines covered (76.44%)

1.53 hits per line