def test_minimize_cost(self):
modelcreator = mc.ModelCreatorDecomp(self.scenario)
modelcreator.init_model_creator()
solution = modelcreator.compute_integral_solution()
if solution:
if solution.validate_solution():
print(solution)
def test_max_profit(self):
self.request.profit = 5
self.request2.profit = 6
modelcreator = mc.ModelCreatorDecomp(self.scenario)
modelcreator.init_model_creator()
solution = modelcreator.compute_integral_solution()
if solution:
if solution.validate_solution():
print(solution)
def test_fractual_model(self):
self.scenario = datamodel.Scenario("Sen1", self.substrate,
[self.request])
modelcreator = mc.ModelCreatorDecomp(self.scenario)
modelcreator.init_model_creator()
solution = modelcreator.compute_fractional_solution()
assert self.request in solution.request_mapping
print("profile: time pre = {}, optimization = {} , post = {}".format(
modelcreator.time_preprocess, modelcreator.time_optimization,
modelcreator.time_postprocessing))
if solution:
if solution.validate_solution():
print(solution)
def test_linear_chain_multipe_edges(self):
modelcreator = mc.ModelCreatorDecomp(self.scenario)
modelcreator.init_model_creator()
modelcreator.compute_integral_solution()