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_validate_question_suggestion_count_fails_for_negative_count(self):
        community_contribution_stats = (
            suggestion_services.get_community_contribution_stats()
        )
        community_contribution_stats.question_suggestion_count = (
            self.negative_count
        )

        with self.assertRaisesRegex(
            utils.ValidationError,
            'Expected the question suggestion count to be non-negative, '
            'received: %s.' % (
                community_contribution_stats.question_suggestion_count)
        ):
            community_contribution_stats.validate()