def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def test_get_score_part_helper_methods(self):
        expected_suggestion_dict = self.suggestion_dict

        suggestion = suggestion_registry.SuggestionEditStateContent(
            expected_suggestion_dict['suggestion_id'],
            expected_suggestion_dict['target_id'],
            expected_suggestion_dict['target_version_at_submission'],
            expected_suggestion_dict['status'], self.author_id,
            self.reviewer_id, expected_suggestion_dict['change'],
            expected_suggestion_dict['score_category'],
            expected_suggestion_dict['language_code'], False, self.fake_date)

        self.assertEqual(suggestion.get_score_type(), 'content')
        self.assertEqual(suggestion.get_score_sub_type(), 'Algebra')