def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
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))