def __len__(self):
return len(self._gsteps)
def __getitem__(self, position):
return self._gsteps[position]
def __contains__(self, item):
return item in self._gsteps
def __repr__(self):
return 'Grounded Step Library: \n' + str(
[step.__repr__() for step in self._gsteps])
if __name__ == '__main__':
domain_file = 'domains/ark-domain.pddl'
problem_file = 'domains/ark-problem.pddl'
operators, objects, object_types, initAction, goalAction = parseDomAndProb(
domain_file, problem_file)
from Planner import preprocessDomain, obTypesDict
FlawLib.non_static_preds = preprocessDomain(operators)
obtypes = obTypesDict(object_types)
print("creating ground actions......\n")
GL = GLib(operators, objects, obtypes, initAction, goalAction)
print('\n')
print(GL)
if __name__ == '__main__':
num_args = len(sys.argv)
if num_args >1:
domain_file = sys.argv[1]
if num_args > 2:
problem_file = sys.argv[2]
else:
#domain_file = 'domains/mini-indy-domain.pddl'
#problem_file = 'domains/mini-indy-problem.pddl'
domain_file = 'domains/ark-domain.pddl'
problem_file = 'domains/ark-problem.pddl'
#f = open('workfile', 'w')
operators, objects, object_types, initAction, goalAction = parseDomAndProb(domain_file, problem_file)
#non_static_preds = preprocessDomain(operators)
FlawLib.non_static_preds = preprocessDomain(operators)
obtypes = obTypesDict(object_types)
Argument.object_types = obtypes
planner = PlanSpacePlanner(operators, objects, initAction, goalAction)
#planner.story_GL = GLib(operators, story_objs, obtypes, initAction, goalAction)
results = planner.POCL(1)
for result in results:
totOrdering = topoSort(result)
print('\n\n\n')
for step in topoSort(result):
print(Action.subgraph(result, step))
#print(result)