def test_view_of_view_modification():
    adata = ad.AnnData(np.zeros((10, 10)))
    adata[0, :][:, 5:].X = np.ones(5)
    assert np.all(adata.X[0, 5:] == np.ones(5))
    adata[[1, 2], :][:, [1, 2]].X = np.ones((2, 2))
    assert np.all(adata.X[1:3, 1:3] == np.ones((2, 2)))

    adata.X = sparse.csr_matrix(adata.X)
    adata[0, :][:, 5:].X = np.ones(5) * 2
    assert np.all(asarray(adata.X)[0, 5:] == np.ones(5) * 2)
    adata[[1, 2], :][:, [1, 2]].X = np.ones((2, 2)) * 2
    assert np.all(asarray(adata.X)[1:3, 1:3] == np.ones((2, 2)) * 2)
def test_contructor_raise_exception_for_invalid_state_shema_version(self):
        score_category = (
            suggestion_models.SCORE_TYPE_QUESTION +
            suggestion_models.SCORE_CATEGORY_DELIMITER + 'skill_id')
        change = {
            'cmd': (
                question_domain
                .CMD_CREATE_NEW_FULLY_SPECIFIED_QUESTION),
            'question_dict': {
                'question_state_data': self.VERSION_27_STATE_DICT,
                'question_state_data_schema_version': 23,
                'language_code': 'en',
                'linked_skill_ids': ['skill_id'],
                'inapplicable_skill_misconception_ids': []
            },
            'skill_id': 'skill_id',
            'skill_difficulty': 0.3
        }
        self.assertEqual(
            change['question_dict']['question_state_data_schema_version'], 23)

        with self.assertRaisesRegex(
            utils.ValidationError,
            'Expected state schema version to be in between 25'
        ):
            suggestion_registry.SuggestionAddQuestion(
                'suggestionId', 'target_id', 1,
                suggestion_models.STATUS_IN_REVIEW, self.author_id, None,
                change, score_category, 'en', False, self.fake_date)