def standard_get_models(self, desired_number_of_models):
result = []
count = 0
self.clock.tick("first model")
while True:
self.clock.tick("unsat")
if (Options.MODE != Common.DEBUG and not(Options.PRODUCE_UNSAT_CORE)and count != desired_number_of_models and self.solver.check() == Common.SAT ) or \
(Options.MODE != Common.DEBUG and Options.PRODUCE_UNSAT_CORE and count != desired_number_of_models and self.solver.check(self.unsat_core_trackers) == Common.SAT ) or \
(Options.MODE == Common.DEBUG and count != desired_number_of_models and self.solver.check(self.unsat_core_trackers) == Common.SAT ):
if count == 0:
self.clock.tock("first model")
m = self.solver.model()
result.append(m)
# Create a new constraint that blocks the current model
if not Options.SUPPRESS_MODELS:
self.printVars(m)
preventSameModel(self, self.solver, m)
count += 1
else:
if count == 0 and Options.PRODUCE_UNSAT_CORE:
self.clock.tock("unsat")
debug_print("UNSAT")
core = self.solver.unsat_core()
debug_print(str(len(core)) + " constraints in unsat core: \n")
for i in core:
print(Constraints.interpretUnsatCore(self, str(i)))
print()
return result
elif count == 0:
standard_print("UNSAT")
return result
def printConstraints(self):
standard_print(self.converter.parens("set-info", ":status", "unknown"))
for i in self.converter.variables:
standard_print(i)
for i in self.constraints:
standard_print(self.converter.parens("assert", i))
standard_print(self.converter.parens("check-sat"))
standard_print(self.converter.parens("get-model"))
def printConstraints(self):
standard_print(self.converter.parens("set-info", ":status", "unknown"))
for i in self.converter.variables:
standard_print(i)
for i in self.constraints:
standard_print(self.converter.parens("assert", i))
standard_print(self.converter.parens("check-sat"))
standard_print(self.converter.parens("get-model"))
def printVars(self, model):
self.clock.tick("printing")
self.printStartDelimeter()
ph = PrintHierarchy.PrintHierarchy(self, model)
Visitor.visit(ph, self.module)
ph.printTree()
standard_print("")
self.printEndDelimeter()
standard_print("")
self.clock.tack("printing")
def printStartDelimeter(self):
if Options.DELIMETER == Common.STANDARD_DELIMETER:
standard_print("=== Instance " + str(self.delimeter_count+1) + " Begin ===")
standard_print("")
else:
standard_print(Options.DELIMETER)
def GIA(self, desired_number_of_models):
metrics_objective_direction = []
metrics_variables = []
for i in self.objectives:
(pol, var) = i
metrics_objective_direction.append(pol)
metrics_variables.append(var)
# Non-Parallel
GIAOptionsNP = GuidedImprovementAlgorithmOptions(verbosity=0, \
incrementallyWriteLog=False, \
writeTotalTimeFilename="timefile.csv", \
writeRandomSeedsFilename="randomseed.csv", useCallLogs=False, num_models=desired_number_of_models, magnifying_glass=Options.MAGNIFYING_GLASS)
if Options.CORES == 1:
GIAAlgorithmNP = GuidedImprovementAlgorithm(self, self.solver, metrics_variables, \
metrics_objective_direction, [], options=GIAOptionsNP)
'''featurevars instead of []'''
outfilename = str("giaoutput").strip()
ParetoFront = GIAAlgorithmNP.ExecuteGuidedImprovementAlgorithm(outfilename)
if not Options.SUPPRESS_MODELS:
if not ParetoFront:
standard_print("UNSAT")
for i in ParetoFront:
self.printVars(i)
return ParetoFront
else:
parSolver = ParSolver.ParSolver(self, self.module, self.solver, metrics_variables, metrics_objective_direction)
ParetoFront = parSolver.run()
for i in ParetoFront:
self.printStartDelimeter()
standard_print(i)
standard_print("")
self.printEndDelimeter()
return ParetoFront
def printEndDelimeter(self):
if Options.DELIMETER == Common.STANDARD_DELIMETER:
standard_print("--- Instance " + str(self.delimeter_count+1) + " End ---")
self.delimeter_count = self.delimeter_count + 1
