def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
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)