def test_set_subset_varm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_varm_val = adata.varm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.var_names)
        if (adata[:, subset_idx]).shape[1] > 2:
            break
    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.varm["o"].shape[0])), subset.var_names
    )

    assert subset.is_view
    subset.varm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.varm["o"] == orig_varm_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)