def test_modify_view_component(matrix_type, mapping_name):
    adata = ad.AnnData(
        np.zeros((10, 10)),
        **{mapping_name: dict(m=matrix_type(asarray(sparse.random(10, 10))))},
    )
    init_hash = joblib.hash(adata)

    subset = adata[:5, :][:, :5]
    assert subset.is_view
    m = getattr(subset, mapping_name)["m"]
    m[0, 0] = 100
    assert not subset.is_view
    assert getattr(subset, mapping_name)["m"][0, 0] == 100

    assert init_hash == joblib.hash(adata)
def test_contructor_updates_state_shema_in_change_cmd(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': 27,
                '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'], 27)

        suggestion = suggestion_registry.SuggestionAddQuestion(
            'suggestionId', 'target_id', 1, suggestion_models.STATUS_IN_REVIEW,
            self.author_id, None, change, score_category, 'en', False,
            self.fake_date)
        self.assertEqual(
            suggestion.change.question_dict[
                'question_state_data_schema_version'],
            feconf.CURRENT_STATE_SCHEMA_VERSION)