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_pre_update_validate_accepts_a_change_in_skill_difficulty_only(
            self):
        change = {
            'cmd': question_domain.CMD_CREATE_NEW_FULLY_SPECIFIED_QUESTION,
            'question_dict': {
                'question_state_data': self._create_valid_question_data(
                    'default_state').to_dict(),
                'language_code': 'en',
                'question_state_data_schema_version': (
                    feconf.CURRENT_STATE_SCHEMA_VERSION)
            },
            'skill_id': 'skill_1',
            'skill_difficulty': 0.3
        }

        suggestion = suggestion_registry.SuggestionAddQuestion(
            'exploration.exp1.thread1', 'exp1', 1,
            suggestion_models.STATUS_ACCEPTED, self.author_id,
            self.reviewer_id, change,
            'question.topic_1', 'en', self.fake_date)

        new_change = {
            'cmd': question_domain.CMD_CREATE_NEW_FULLY_SPECIFIED_QUESTION,
            'question_dict': {
                'question_state_data': self._create_valid_question_data(
                    'default_state').to_dict(),
                'language_code': 'en',
                'question_state_data_schema_version': (
                    feconf.CURRENT_STATE_SCHEMA_VERSION)
            },
            'skill_id': 'skill_1',
            'skill_difficulty': 0.6
        }

        self.assertEqual(
            suggestion.pre_update_validate(
                question_domain.QuestionSuggestionChange(new_change)), None)