def assert_dc_result(self, example_file, expected_result):
for solver in DynamicControllability.SOLVERS:
path = join(self.examples_dir, example_file)
if Tpnu.isCCTP(path):
tpnu = Tpnu.parseCCTP(path)
elif Tpnu.isTPN(path):
obj = Tpn.parseTPN(join(self.examples_dir, example_file))
tpnu = Tpnu.from_tpn_autogen(obj)
else:
raise Exception("Input file " + path +
" is neither a CCTP nor a TPN")
# for tc in tpnu.temporal_constraints:
# tpnu.temporal_constraints[tc].pretty_print()
conflict = DynamicControllability.check(tpnu, solver=solver)
# if conflict is not None:
# kirk_conflict = Conflict()
# kirk_conflict.add_negative_cycles(conflict,tpnu)
# kirk_conflict.pretty_print()
is_dynamically_controllable = conflict is None
self.assertEqual(is_dynamically_controllable, expected_result)
def initialize(self):
if type(self.network) == ParseTpnClass:
self.network = Tpnu.from_tpn_autogen(self.network)
elif type(self.network) == Tpnu:
pass
else:
raise Exception("Wrong type of network passed to MIP encode")
self.network.initialize()
self.num_nodes = self.network.num_nodes
self.l = {} # lower bounds
self.u = {} # upper bounds
self.w = {} # wait
self.b = {} # binary variables
self.x = {} # binary variables
self.calc_distance()
if self.objective_type == ObjectiveType.MIN_COST:
self.rl = {}
self.ru = {}
self.tl = {}
self.tu = {}
for e in self.network.temporal_constraints.values():
#if e.activated:
self.l[(e.fro, e.to)] = LinExpr()
self.u[(e.fro, e.to)] = LinExpr()
def runTest(directory,file,solver,objType):
path = join(directory, file)
if Tpnu.isCCTP(path):
tpnu = Tpnu.parseCCTP(path)
elif Tpnu.isTPN(path):
obj = Tpn.parseTPN(path)
tpnu = Tpnu.from_tpn_autogen(obj)
else:
raise Exception("Input file " + path + " is neither a CCTP nor a TPN")
startTime = datetime.now()
if solver == SolverType.CDRU:
search_problem = SearchProblem(tpnu,FeasibilityType.DYNAMIC_CONTROLLABILITY,objType)
search_problem.initialize()
solution = search_problem.next_solution()
elif solver == SolverType.MIP:
mip_solver = MipEncode(tpnu,objType)
solution = mip_solver.mip_solver()
else:
raise Exception('Unknown solver type')
runtime = datetime.now() - startTime
print("----------------------------------------")
if solution is not None:
print(file + " solved in " + str(runtime))
else:
print(file + " not solved in " + str(runtime))
return solution.json_description(file,BenchmarkRCPSP.getSolveName(solver),runtime.total_seconds(),search_problem.candidates_dequeued)
def runTest(directory, file, solver, objType, feaType, ccType):
path = join(directory, file)
print("----------------------------------------")
print("Solving: " + file)
if Tpnu.isCCTP(path):
tpnu = Tpnu.parseCCTP(path)
elif Tpnu.isTPN(path):
obj = Tpn.parseTPN(path)
tpnu = Tpnu.from_tpn_autogen(obj)
else:
raise Exception("Input file " + path +
" is neither a CCTP nor a TPN")
startTime = datetime.now()
manager = Manager()
container = manager.SolutionContainer()
p = Process(target=BenchmarkAUV.solve,
name="Solve",
args=(
tpnu,
solver,
objType,
feaType,
ccType,
startTime,
file,
container,
))
p.start()
p.join(30)
if p.is_alive():
print("Solver is running... No solution found in time limit...")
# Terminate foo
p.terminate()
p.join()
solution = container.get_value()
runtime = datetime.now() - startTime
if solution is not None:
print(file + " solved in " + str(runtime))
else:
print(file + " not solved in " + str(runtime))
if solution is not None:
return solution
else:
result = {}
result["TestName"] = file
result["Solver"] = BenchmarkAUV.getSolveName(solver)
result["Runtime"] = runtime.total_seconds()
result["Error"] = "No Solution Found"
return result
def getProblemFromFile(self, path):
if Tpnu.isCCTP(path):
tpnu = Tpnu.parseCCTP(path)
elif Tpnu.isTPN(path):
obj = Tpn.parseTPN(path)
tpnu = Tpnu.from_tpn_autogen(obj)
else:
raise Exception("Input file " + path + " is neither a CCTP nor a TPN")
return tpnu
def assert_tpn_result(self, example_file, expected_result):
tpn_obj = Tpn.parseTPN(join(self.examples_dir, example_file))
tpnu_obj = Tpnu.from_tpn_autogen(tpn_obj)
if tpnu_obj is not None:
self.assertEqual(expected_result, True)
if tpnu_obj is None:
self.assertEqual(expected_result, False)
def assert_tpn_result(self, example_file, expected_result):
tpn_obj = Tpn.parseTPN(join(self.examples_dir, example_file))
tpnu_obj = Tpnu.from_tpn_autogen(tpn_obj)
if tpnu_obj is not None:
self.assertEqual(expected_result, True)
if tpnu_obj is None:
self.assertEqual(expected_result, False)
def getProblemFromFile(self, path):
if Tpnu.isCCTP(path):
tpnu = Tpnu.parseCCTP(path)
elif Tpnu.isTPN(path):
obj = Tpn.parseTPN(path)
tpnu = Tpnu.from_tpn_autogen(obj)
else:
raise Exception("Input file " + path +
" is neither a CCTP nor a TPN")
return tpnu
def check(network):
if type(network) == ParseTpnClass:
network = Tpnu.from_tpn_autogen(network)
elif type(network) == Tpnu:
pass
else:
raise Exception("Wrong type of network passed to temporal consistency checking")
network.initialize()
alg = NrgativeCycleDetection()
return alg.check(network)
def check(network):
if type(network) == ParseTpnClass:
network = Tpnu.from_tpn_autogen(network)
elif type(network) == Tpnu:
pass
else:
raise Exception("Wrong type of network passed to strong controllability checking")
network.initialize()
alg = Vidal99Reduction()
return alg.check(network)
def check(network):
if type(network) == ParseTpnClass:
network = Tpnu.from_tpn_autogen(network)
elif type(network) == Tpnu:
pass
else:
raise Exception(
"Wrong type of network passed to strong controllability checking"
)
network.initialize()
alg = Vidal99Reduction()
return alg.check(network)
def check(network):
if type(network) == ParseTpnClass:
network = Tpnu.from_tpn_autogen(network)
elif type(network) == Tpnu:
pass
else:
raise Exception(
"Wrong type of network passed to temporal consistency checking"
)
network.initialize()
alg = NrgativeCycleDetection()
return alg.check(network)
def check(network, solver='morris_n4_dc'):
if solver == 'morris_n4_dc':
alg = MorrisN4Dc()
if type(network) == ParseTpnClass:
network = Tpnu.from_tpn_autogen(network)
elif type(network) == Tpnu:
pass
else:
raise Exception("Wrong type of network passed to dc checking")
network.initialize()
return alg.check(network)
else:
raise Exception('Unknown dynamic controllability solver')
def runTest(directory,file,solver,objType,feaType,ccType):
path = join(directory, file)
print("----------------------------------------")
print("Solving: " + file)
if Tpnu.isCCTP(path):
tpnu = Tpnu.parseCCTP(path)
elif Tpnu.isTPN(path):
obj = Tpn.parseTPN(path)
tpnu = Tpnu.from_tpn_autogen(obj)
else:
raise Exception("Input file " + path + " is neither a CCTP nor a TPN")
startTime = datetime.now()
manager = Manager()
container = manager.SolutionContainer()
p = Process(target=BenchmarkAUV.solve, name="Solve", args=(tpnu,solver,objType,feaType,ccType,startTime,file,container,))
p.start()
p.join(30)
if p.is_alive():
print("Solver is running... No solution found in time limit...")
# Terminate foo
p.terminate()
p.join()
solution = container.get_value()
runtime = datetime.now() - startTime
if solution is not None:
print(file + " solved in " + str(runtime))
else:
print(file + " not solved in " + str(runtime))
if solution is not None:
return solution
else:
result = {}
result["TestName"] = file
result["Solver"] = BenchmarkAUV.getSolveName(solver)
result["Runtime"] = runtime.total_seconds()
result["Error"] = "No Solution Found"
return result
def assert_kirk_result(self, example_file, expected_result):
for solver in DynamicControllability.SOLVERS:
obj = Tpn.parse(join(self.examples_dir, example_file))
tpnu = Tpnu.from_tpn_autogen(obj)
search_problem = SearchProblem(tpnu)
search_problem.initialize()
solution = search_problem.next_solution()
print("----------------------------------------")
if solution is not None:
print(example_file)
solution.pretty_print()
else:
print(example_file)
print(None)
search_problem.pretty_print()
is_feasible = solution is not None
self.assertEqual(is_feasible, expected_result)
def runTest(directory, file, solver, objType):
path = join(directory, file)
if Tpnu.isCCTP(path):
tpnu = Tpnu.parseCCTP(path)
elif Tpnu.isTPN(path):
obj = Tpn.parseTPN(path)
tpnu = Tpnu.from_tpn_autogen(obj)
else:
raise Exception("Input file " + path +
" is neither a CCTP nor a TPN")
startTime = datetime.now()
if solver == SolverType.CDRU:
search_problem = SearchProblem(
tpnu, FeasibilityType.DYNAMIC_CONTROLLABILITY, objType)
search_problem.initialize()
solution = search_problem.next_solution()
elif solver == SolverType.MIP:
mip_solver = MipEncode(tpnu, objType)
solution = mip_solver.mip_solver()
else:
raise Exception('Unknown solver type')
runtime = datetime.now() - startTime
print("----------------------------------------")
if solution is not None:
print(file + " solved in " + str(runtime))
else:
print(file + " not solved in " + str(runtime))
return solution.json_description(file,
BenchmarkRCPSP.getSolveName(solver),
runtime.total_seconds(),
search_problem.candidates_dequeued)
__author__ = 'yupeng'
from tpn import Tpn
from temporal_network.tpnu import Tpnu
if __name__ == '__main__':
# Load the tpn from file
obj = Tpn.parse(r'C:\Users\yupeng\Downloads\document.tpn')
tpnu = Tpnu.from_tpn_autogen(obj)