def solve(self, solver, io, io_options, solver_options, symbolic_labels,
load_solutions):
""" Optimize the model """
assert self.model is not None
opt = SolverFactory(solver, solver_io=io)
opt.options.update(solver_options)
if io == 'nl':
assert opt.problem_format() == ProblemFormat.nl
elif io == 'lp':
assert opt.problem_format() == ProblemFormat.cpxlp
elif io == 'mps':
assert opt.problem_format() == ProblemFormat.mps
#elif io == 'python':
# print opt.problem_format()
# assert opt.problem_format() is None
try:
if isinstance(opt, PersistentSolver):
opt.set_instance(self.model,
symbolic_solver_labels=symbolic_labels)
if opt.warm_start_capable():
results = opt.solve(symbolic_solver_labels=symbolic_labels,
warmstart=True,
load_solutions=load_solutions,
**io_options)
else:
results = opt.solve(symbolic_solver_labels=symbolic_labels,
load_solutions=load_solutions,
**io_options)
else:
if opt.warm_start_capable():
results = opt.solve(self.model,
symbolic_solver_labels=symbolic_labels,
warmstart=True,
load_solutions=load_solutions,
**io_options)
else:
results = opt.solve(self.model,
symbolic_solver_labels=symbolic_labels,
load_solutions=load_solutions,
**io_options)
return opt, results
finally:
opt.deactivate()
del opt
return None, None
def solve(self,
solver,
io,
io_options,
solver_options,
symbolic_labels,
load_solutions):
""" Optimize the model """
assert self.model is not None
opt = SolverFactory(solver, solver_io=io)
opt.options.update(solver_options)
if io == 'nl':
assert opt.problem_format() == ProblemFormat.nl
elif io == 'lp':
assert opt.problem_format() == ProblemFormat.cpxlp
elif io == 'mps':
assert opt.problem_format() == ProblemFormat.mps
#elif io == 'python':
# print opt.problem_format()
# assert opt.problem_format() is None
try:
if isinstance(opt, PersistentSolver):
opt.compile_instance(self.model, symbolic_solver_labels=symbolic_labels)
if opt.warm_start_capable():
results = opt.solve(
self.model,
symbolic_solver_labels=symbolic_labels,
warmstart=True,
load_solutions=load_solutions,
**io_options)
else:
results = opt.solve(
self.model,
symbolic_solver_labels=symbolic_labels,
load_solutions=load_solutions,
**io_options)
return opt, results
finally:
opt.deactivate()
del opt
return None, None
