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_with_invalid_language_code_type_raise_exception(self):
        self.assertEqual(self.voiceover_application.language_code, 'en')
        self.voiceover_application.validate()

        self.voiceover_application.language_code = 1
        with self.assertRaisesRegex(
            utils.ValidationError, 'Expected language_code to be a string'
        ):
            self.voiceover_application.validate()