Ejemplo n.º 1
0
def task_from_domain_problem(domain, problem, add_identical=True):
    # TODO: prune evaluation that aren't needed in actions
    #domain_name, domain_requirements, types, type_dict, constants, \
    #    predicates, predicate_dict, functions, actions, axioms = domain
    task_name, task_domain_name, task_requirements, objects, init, goal, use_metric, problem_pddl = problem

    assert domain.name == task_domain_name
    requirements = pddl.Requirements(
        sorted(
            set(domain.requirements.requirements +
                task_requirements.requirements)))
    objects = domain.constants + objects
    check_for_duplicates(
        [o.name for o in objects],
        errmsg="error: duplicate object %r",
        finalmsg="please check :constants and :objects definitions")
    init.extend(pddl.Atom(EQ, (obj.name, obj.name)) for obj in objects)
    if add_identical:
        init.extend(get_identical_atoms(objects))
    #print('{} objects and {} atoms'.format(len(objects), len(init)))

    task = pddl.Task(domain.name, task_name, requirements, domain.types,
                     objects, domain.predicates, domain.functions, init, goal,
                     domain.actions, domain.axioms, use_metric)
    normalize.normalize(task)
    # task.add_axiom
    return task
Ejemplo n.º 2
0
def task_from_domain_problem(domain, problem):
    # TODO: prune evaluation that aren't needed in actions
    #domain_name, domain_requirements, types, type_dict, constants, \
    #    predicates, predicate_dict, functions, actions, axioms = domain
    task_name, task_domain_name, task_requirements, objects, init, goal, use_metric, problem_pddl = problem

    assert domain.name == task_domain_name
    requirements = pddl.Requirements(
        sorted(
            set(domain.requirements.requirements +
                task_requirements.requirements)))
    objects = domain.constants + objects
    check_for_duplicates(
        [o.name for o in objects],
        errmsg="error: duplicate object %r",
        finalmsg="please check :constants and :objects definitions")
    init.extend(pddl.Atom(EQ, (obj.name, obj.name)) for obj in objects)
    # TODO: optimistically evaluate (not (= ?o1 ?o2))
    for fd_obj in objects:
        obj = obj_from_pddl(fd_obj.name)
        if obj.is_unique():
            init.append(pddl.Atom(IDENTICAL, (fd_obj.name, fd_obj.name)))
        else:
            assert obj.is_shared()
    task = pddl.Task(domain.name, task_name, requirements, domain.types,
                     objects, domain.predicates, domain.functions, init, goal,
                     domain.actions, domain.axioms, use_metric)
    normalize.normalize(task)
    # task.add_axiom
    return task
Ejemplo n.º 3
0
def task_from_domain_problem(domain, problem):
    # TODO: prune eval
    domain_name, domain_requirements, types, type_dict, constants, \
        predicates, predicate_dict, functions, actions, axioms = domain
    task_name, task_domain_name, task_requirements, objects, init, goal, use_metric = problem

    assert domain_name == task_domain_name
    requirements = pddl.Requirements(sorted(set(domain_requirements.requirements +
                                                task_requirements.requirements)))
    objects = constants + objects
    check_for_duplicates([o.name for o in objects],
        errmsg="error: duplicate object %r",
        finalmsg="please check :constants and :objects definitions")
    init.extend(pddl.Atom(EQ, (obj.name, obj.name)) for obj in objects)

    task = pddl.Task(domain_name, task_name, requirements, types, objects,
                     predicates, functions, init, goal, actions, axioms, use_metric)
    normalize.normalize(task)
    return task