def build_model_from_mps_file(self, filename):
if not os.path.exists(filename):
raise IOError("Path doesn't exist: %s" % filename)
decoder = mps.Decoder()
with open(filename, "r") as stream:
decoder.decode(stream)
return MPModelBuilder.build_from(decoder)
from les.mp_model import MPModel from les.mp_model.mp_model_builder.formats import mps from les.mp_model.mp_model_builder import MPModelBuilder decoder = mps.Decoder() filename = "/home/ira/les/data/demos/demo6.mps"#"/home/ira/Downloads/demo4.mps"#"/home/ira/Downloads/Tasks/demo_3f.mps" with open(filename, "r") as stream: decoder.decode(stream) model = MPModelBuilder.build_from(decoder) model.pprint() print model.optimize() print model.get_objective_value() nm, res = model.preproc() nm.pprint() nm.optimize() print nm.get_objective_value() for i in res: print i for i in range(len(nm.get_variables_names())): print nm.get_variables_names()[i], nm.columns_values[i]
import os
import timeit
from les.mp_model import MPModel
from les.backend_solvers.scip import SCIP
from les.frontend_solver import FrontendSolver
from les.mp_model.optimization_parameters import OptimizationParameters
from les.ext.google.operations_research.linear_solver import pywraplp
from les.mp_model.mp_model_builder.formats import mps
from les.mp_model.mp_model_builder import MPModelBuilder
directory = '.' #'/home/ira/Desktop/imp/diploma/'
tests = os.listdir(directory)
for t in tests:
if t.endswith('.mps'):
model = MPModelBuilder.build_from(t)
print "\n\n", t, "\n"
print "LES"
params = OptimizationParameters()
params.driver.driver = 0
solver = FrontendSolver()
solver.load_model(model)
start_time = timeit.default_timer()
sol2 = solver.solve(params)
print sol2.get_objective_value(), timeit.default_timer() - start_time
print "SCIP"
params = pywraplp.MPSolverParameters()
params.SetIntegerParam(params.PRESOLVE, params.PRESOLVE_OFF)
