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_initial_object_with_valid_arguments_has_correct_properties(self):
        community_contribution_stats = (
            suggestion_registry.CommunityContributionStats(
                self.translation_reviewer_counts_by_lang_code,
                self.translation_suggestion_counts_by_lang_code,
                self.question_reviewer_count,
                self.question_suggestion_count
            )
        )
        community_contribution_stats.validate()

        self.assertEqual(
            (
                community_contribution_stats
                .translation_reviewer_counts_by_lang_code
            ),
            self.translation_reviewer_counts_by_lang_code)
        self.assertEqual(
            (
                community_contribution_stats
                .translation_suggestion_counts_by_lang_code
            ),
            self.translation_suggestion_counts_by_lang_code
        )
        self.assertEqual(
            community_contribution_stats.question_reviewer_count,
            self.question_reviewer_count
        )
        self.assertEqual(
            community_contribution_stats.question_suggestion_count,
            self.question_suggestion_count
        )