def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
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)