[MRG] Fix Tars & MMDSConS

[YanisLalou]

The R matrix is supposed to have a shape of (m, c) with m the len of X_source and c the len of unique y_source. Otherwise we would have ValueErrors line 774 and 1274: R[:, i] = (y_source == c).int() when X_target.shape[0] != len(y_source)

[codecov[bot]]

Codecov Report

Merging #156 (1123aba) into main (0078065) will decrease coverage by 0.36%. The diff coverage is 100.00%.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #156 +/- ## ========================================== - Coverage 97.49% 97.13% -0.36% ========================================== Files 47 47 Lines 4191 4191 ========================================== - Hits 4086 4071 -15 - Misses 105 120 +15 ```

[antoinecollas]

Changing somewhere make_shifted_datasets(n_samples_source, n_samples_target, ...) with n_samples_source != n_samples_target in the contest.py should be enough no?

[YanisLalou]

Changing somewhere make_shifted_datasets(n_samples_source, n_samples_target, ...) with n_samples_source != n_samples_target in the contest.py should be enough no?

It was already the case i.e n_samples_source=20, n_samples_target=21. Also in that case I can't test when X_source.shape[0] < X_target.shape[0] AND X_source.shape[0] > X_target.shape[0]

[rflamary]

If you want to etst different sizes you shoulh parametrize the datasets instead of doing multiple tests. This is indeed an imprtant test when the two sizes are different and larger/smaller.

[antoinecollas]

An it is strange that n_samples_source != n_samples_target but the tests pass???

[rflamary]

The test take 26 minutes! tu run now, please choose smaller (much smaller) number of smapels to accelerate this and come back to 1-2 minuts.