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_validation_for_rejected_application_with_no_message(self):
        self.assertEqual(
            self.voiceover_application.status,
            suggestion_models.STATUS_IN_REVIEW)
        self.assertEqual(self.voiceover_application.rejection_message, None)
        self.voiceover_application.validate()

        self.voiceover_application.final_reviewer_id = 'reviewer_id'
        self.voiceover_application.status = suggestion_models.STATUS_REJECTED
        with self.assertRaisesRegex(
            utils.ValidationError,
            'Expected rejection_message to be a string for a '
            'rejected application'
        ):
            self.voiceover_application.validate()