Пример #1
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def test_problem():
    domain = Domain("domain", dict(), list(), list(), dict())
    test = Problem("problem", domain, dict(), list(), list())
    assert str(test) == repr(test)
Пример #2
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def test_domain():
    test = Domain("domain", dict(), list(), list(), dict())
    assert str(test) == repr(test)
Пример #3
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def test_operators():

    # action with signature with 2 types
    action_drive_vehicle = get_action(
        "DRIVE-VEHICLE",
        [
            ("vehicle", [types["car"], types["truck"]]),
            ("orig", [types["city"]]),
            ("dest", [types["city"]]),
        ],
        [predicate_veh_orig],
        [predicate_veh_dest],
        [predicate_veh_orig],
    )

    # action with predicate in add & delete list
    action_add_delete = get_action(
        "STAY",
        [("car", [types["car"]]), ("in", [types["city"]])],
        [predicate_in],
        [predicate_in],
        [predicate_in],
    )

    # action with constant input
    action_constant = get_action(
        "CONSTANT-ACTION",
        [("my_car", [types["my_car"]]), ("city", [types["city"]])],
        [],
        [
            Predicate(
                "in", [("basel", [types["city"]]), ("switzerland", [types["country"]])]
            )
        ],
        [],
    )

    # action with only delete effects
    action_only_delete = get_action(
        "LEAVE",
        [("car", [types["car"]]), ("in", [types["city"]])],
        [predicate_in],
        [],
        [predicate_in],
    )

    # action with delete effect which does not occur in precondition
    action_delete = get_action(
        "DELETE",
        [("car", [types["car"]]), ("orig", [types["city"]]), ("dest", [types["city"]])],
        [],
        [predicate_car_orig],
        [predicate_car_dest],
    )

    type_map = grounding._create_type_map(objects)

    grounded_initial_state = grounding._get_partial_state(initial_state)

    grounded_drive_car = list(
        grounding._ground_action(action_drive_car, type_map, [], grounded_initial_state)
    )
    grounded_drive_vehicle = list(
        grounding._ground_action(
            action_drive_vehicle, type_map, [], grounded_initial_state
        )
    )
    grounded_add_delete = list(
        grounding._ground_action(
            action_add_delete, type_map, [], grounded_initial_state
        )
    )
    grounded_only_delete = list(
        grounding._ground_action(
            action_only_delete, type_map, [], grounded_initial_state
        )
    )
    grounded_delete = list(
        grounding._ground_action(action_delete, type_map, [], grounded_initial_state)
    )

    domain = Domain(
        "test_domain",
        types,
        {
            "in": Predicate(
                "in", [("city", types["city"]), ("country", types["country"])]
            )
        },
        {"action-constant": action_constant},
        {"my_car": types["car"]},
    )

    problem = Problem("test_problem", domain, objects, initial_state, goal_state)
    task = grounding.ground(problem)

    expected = [
        ("(DRIVE-CAR red_car freiburg basel)", grounded_drive_car),
        ("(DRIVE-VEHICLE blue_truck freiburg basel)", grounded_drive_vehicle),
        ("(STAY red_car freiburg)", grounded_add_delete),
        ("(LEAVE red_car freiburg)", grounded_only_delete),
        ("(DELETE red_car freiburg basel)", grounded_delete),
    ]

    for operator, grounded_operators in expected:
        assert any(op.name == operator for op in grounded_operators)
Пример #4
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def test_regression():
    parser = Parser("")

    def parse_problem(domain, problem):
        parser.domInput = domain
        parser.probInput = problem
        domain = parser.parse_domain(False)
        return parser.parse_problem(domain, False)

    prob_05 = """
    ;; See domain file for description of this test.

    (define (problem regression-test-05)
      (:domain regression-test)
      (:objects y - object)
      (:init)
      (:goal (the-predicate x y)))
    """

    dom_05 = """
    ;; Expected behaviour: plan of length one found
    ;; Observed behaviour (r265): plan of length zero found

    (define (domain regression-test)
      (:requirements :typing) ;; work around problem in regression test #4.
      (:predicates (the-predicate ?v1 ?v2 - object))
      (:constants x - object)

      (:action theaction
       :parameters (?x - object)
       :precondition (and)
       :effect (the-predicate x ?x)
      )
    )
    """

    prob_06 = """
    ;; See domain file for description of this test.

    (define (problem regression-test-06)
      (:domain regression-test)
      (:objects y - object)
      (:init)
      (:goal (the-predicate y y)))

    """
    dom_06 = """
    ;; Expected behaviour: planner proves that no plan exists
    ;; Observed behaviour (r265): plan of length one found

    (define (domain regression-test)
      (:requirements :typing) ;; work around problem in regression test #4.
      (:predicates (the-predicate ?v1 ?v2 - object))
      (:constants x - object)

      (:action theaction
       :parameters (?x - object)
       :precondition (and)
       :effect (the-predicate x ?x)
      )
    )
    """

    # problem / domain 07 contains a different action compared
    # to the actions of domain 5 & 6
    prob_07 = prob_06

    dom_07 = """
    (define (domain regression-test)
      (:requirements :typing) ;; work around problem in regression test #4.
      (:predicates (the-predicate ?v1 ?v2 - object))
      (:constants y - object)

      (:action theaction
       :parameters (?x - object)
       :precondition (and)
       :effect (the-predicate y ?x)
      )
    )
    """

    # action of problem / domain 8 differs only in the variable name compared
    # to the actions of problem 5 and 6: After grounding there should be no
    # difference between the grounded actions
    prob_08 = prob_05

    dom_08 = """
    (define (domain regression-test)
      (:requirements :typing) ;; work around problem in regression test #4.
      (:predicates (the-predicate ?v1 ?v2 - object))
      (:constants x - object)

      (:action theaction
       :parameters (?z - object)
       :precondition (and)
       :effect (the-predicate x ?z)
      )
    )
    """

    parsed_problem5 = parse_problem(dom_05, prob_05)
    parsed_problem6 = parse_problem(dom_06, prob_06)
    parsed_problem7 = parse_problem(dom_07, prob_07)
    parsed_problem8 = parse_problem(dom_08, prob_08)

    # coded input:
    type_object = Type("object", None)
    types = {"object": type_object}
    predicates = {
        "the_predicate": Predicate(
            "the-predicate", [("v1", type_object), ("v2", type_object)]
        )
    }
    constants = {"x": type_object}
    actions = {
        "theaction": get_action(
            "theaction",
            [("?x", [type_object])],
            [],
            [Predicate("the-predicate", [("x", type_object), ("?x", type_object)])],
            [],
        )
    }
    domain = Domain("regression-test", types, predicates, actions, constants)
    problem5 = Problem(
        "regression-test-05",
        domain,
        {"y": type_object},
        [],
        [Predicate("the-predicate", [("x", type_object), ("y", type_object)])],
    )
    problem6 = Problem(
        "regression-test-06",
        domain,
        {"y": type_object},
        [],
        [Predicate("the-predicate", [("y", type_object), ("y", type_object)])],
    )

    parsed_task5 = grounding.ground(parsed_problem5)
    coded_task5 = grounding.ground(problem5)
    parsed_task6 = grounding.ground(parsed_problem6)
    coded_task6 = grounding.ground(problem6)
    parsed_task7 = grounding.ground(parsed_problem7)
    parsed_task8 = grounding.ground(parsed_problem8)

    expected = [
        (parsed_task5.operators, coded_task5.operators, True),
        (parsed_task6.operators, coded_task6.operators, True),
        (parsed_task5.operators, coded_task6.operators, False),
        (parsed_task5.operators, parsed_task7.operators, False),
        (parsed_task5.operators, parsed_task8.operators, True),
    ]

    for operator1, operator2, expected_result in expected:
        assert compare_operators(operator1, operator2) == expected_result
Пример #5
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initial_state = [
    Predicate("at", [("red_car", types["car"]), ("freiburg", types["city"])]),
    Predicate("at", [("green_car", types["car"]), ("basel", types["city"])]),
    Predicate("at", [("blue_truck", types["truck"]), ("freiburg", types["city"])]),
    Predicate("at", [("yellow_truck", types["truck"]), ("basel", types["city"])]),
]

goal_state = [
    Predicate("at", [("red_car", types["car"]), ("basel", types["city"])]),
    Predicate("at", [("green_car", types["car"]), ("freiburg", types["city"])]),
    Predicate("at", [("blue_truck", types["truck"]), ("basel", types["city"])]),
    Predicate("at", [("yellow_truck", types["truck"]), ("freiburg", types["city"])]),
]

# domain and problem
standard_domain = Domain("test_domain_statics", types, predicates, actions)
standard_problem = Problem(
    "test_problem_statics", standard_domain, objects, initial_state, goal_state
)


def test_statics1():
    """
    A static predicate is a predicate, which doesn't occur in an effect of an
    action.
    """
    type_object = Type("object", None)
    type_car = Type("car", type_vehicle)
    type_city = Type("city", type_object)
    type_country = Type("country", type_object)
    types = {