def METHOD_NAME(drifted_data):
    # Arrange
    train_ds, test_ds = drifted_data
    check = MultivariateDrift().add_condition_overall_drift_value_less_than()
    # Act
    result = check.run(train_ds, test_ds)
    condition_result, *_ = check.conditions_decision(result)
    # Assert
    assert_that(condition_result, equal_condition_result(
        is_pass=False,
        name='Drift value is less than 0.25',
        details='Found drift value of: 0.86, corresponding to a domain classifier AUC of: 0.93'
    ))