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 setUp(self):
        super(ExplorationVoiceoverApplicationUnitTest, self).setUp()
        self.signup('author@example.com', 'author')
        self.author_id = self.get_user_id_from_email('author@example.com')

        self.signup('reviewer@example.com', 'reviewer')
        self.reviewer_id = self.get_user_id_from_email('reviewer@example.com')

        self.voiceover_application = (
            suggestion_registry.ExplorationVoiceoverApplication(
                'application_id', 'exp_id', suggestion_models.STATUS_IN_REVIEW,
                self.author_id, None, 'en', 'audio_file.mp3', '<p>Content</p>',
                None))