simulated_annealing

#!/usr/bin/python

from grid_optimizer.optimizer import SimulatedAnnealing
from grid_optimizer.grid import Grid

from optparse import OptionParser

import sys

parser = OptionParser()
parser.add_option("-s", "--size", dest="size",
    help="size of the grid in format WxH", metavar="SIZE")
parser.add_option("-t", "--tau", dest="tau",
    help="initial perturbation coefficient", metavar="TAU")
parser.add_option("-b", "--beta", dest="beta",
    help="cooling factor", metavar="BETA")
parser.add_option("-v", "--verbose", dest="verbose",
    help="verbose level", metavar="VERBOSE")
parser.add_option("-n", "--nograph", dest="analyze",
    action="store_false", default=True)
(options, args) = parser.parse_args()

size = options.size
if not size:
    size = "5x5"

tau = options.tau
if not tau:
    tau = "0.9"
tau = float(tau)
if tau <= 0 or tau >= 1:
    print >> sys.stderr, "tau has to be between 0 and 1"
    sys.exit(1)

beta = options.beta
if not beta:
    beta = "0.9"
beta = float(beta)
if beta <= 0 or beta >= 1:
    print >> sys.stderr, "beta has to be between 0 and 1"
    sys.exit(1)

verbose = options.verbose
if not verbose:
    verbose = "1"
verbose = int(verbose)

analyze = options.analyze

width, height = map(int, size.split("x"))

grid = Grid(width, height)
grid.initGrid()

model = SimulatedAnnealing(
            tau=tau, 
            grid=grid,
            diminish=beta)
model.run(verbose, analyze)