def test_negative_scalar_index(adata, index: int, obs: bool):
    pos_index = index + (adata.n_obs if obs else adata.n_vars)

    if obs:
        adata_pos_subset = adata[pos_index]
        adata_neg_subset = adata[index]
    else:
        adata_pos_subset = adata[:, pos_index]
        adata_neg_subset = adata[:, index]

    np.testing.assert_array_equal(
        adata_pos_subset.obs_names, adata_neg_subset.obs_names
    )
    np.testing.assert_array_equal(
        adata_pos_subset.var_names, adata_neg_subset.var_names
    )
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)