def METHOD_NAME(
    data_context_with_datasource_pandas_engine,
):
    context: AbstractDataContext = data_context_with_datasource_pandas_engine
    df = pd.DataFrame(
        {
            "a": [
                "2021-01-01",
                "2021-01-31",
                "2021-02-28",
                "2021-03-20",
                "2021-02-21",
                "2021-05-01",
                "2021-06-18",
            ]
        }
    )
    batch_request = RuntimeBatchRequest(
        datasource_name="my_datasource",
        data_connector_name="default_runtime_data_connector_name",
        data_asset_name="my_data_asset",
        runtime_parameters={"batch_data": df},
        batch_identifiers={"default_identifier_name": "my_identifier"},
    )
    validator = context.get_validator(
        batch_request=batch_request,
        create_expectation_suite_with_name="test",
    )
    result = validator.expect_column_values_to_be_in_set(
        column="a", value_set=["2021-06-18"]
    )
    assert result.success is False