def test_not_set_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(asarray(sparse.random(20, 20))))
    init_hash = joblib.hash(adata)
    orig_X_val = adata.X.copy()
    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.X.shape[1])), subset.var_names
    )
    assert subset.is_view
    subset.X[:, internal_idx] = 1
    assert not subset.is_view
    assert not np.any(asarray(adata.X != orig_X_val))

    assert init_hash == joblib.hash(adata)
def test_to_dict_returns_correct_dict(self):
        self.voiceover_application.accept(self.reviewer_id)
        expected_dict = {
            'voiceover_application_id': 'application_id',
            'target_type': 'exploration',
            'target_id': 'exp_id',
            'status': 'accepted',
            'author_name': 'author',
            'final_reviewer_name': 'reviewer',
            'language_code': 'en',
            'content': '<p>Content</p>',
            'filename': 'audio_file.mp3',
            'rejection_message': None
        }
        self.assertEqual(
            self.voiceover_application.to_dict(), expected_dict)