print " Problem type: \033[1;33m", args.type, "\033[0m"
print ""
###
### Read input file
###
ifile = args.input
rules = []
agents = set()
n = 1
for line in ifile:
li=line.strip()
if not li.startswith("#") and li != '':
r = MCNetsRule.fromString(li)
r.no = n
n = n + 1
agents |= r.P
agents |= r.N
for a in r.V:
agents.add(a)
rules.append(r)
if not args.quiet:
print "Read %d rules with %d agents." % (len(rules), len(agents))
###
### Generate constraints
###
###
### Rule list generation
###
rules = []
for a in range(args.rules):
if args.format == 'mcn':
if args.method == 'trinomial':
probP = args.params[0]
probN = args.params[1]
maxUtility = args.agents
r = MCNetsRule.getRandomRuleTrinomialDistribution(args.agents, probP, probN)
elif args.method == 'decay':
decay_alpha = args.params[0]
decay_p = args.params[1]
r = MCNetsRule.getRandomRuleDecayDistribution(args.agents, decay_alpha, decay_p)
else:
pass
if args.format == 'mtzdd':
if args.method == 'decay':
decay_alpha = args.params[0]
decay_p = args.params[1]
if args.output.name == '<stdout>':
os.system('./bdd.py --agents ' + str(args.agents) + ' --alpha ' + str(decay_alpha) + ' --seed ' + str(args.seed))
else:
###
### Rule list generation
###
rules = []
for a in range(args.rules):
if args.format == 'mcn':
if args.method == 'trinomial':
probP = args.params[0]
probN = args.params[1]
maxUtility = args.agents
r = MCNetsRule.getRandomRuleTrinomialDistribution(
args.agents, probP, probN)
elif args.method == 'decay':
decay_alpha = args.params[0]
decay_p = args.params[1]
r = MCNetsRule.getRandomRuleDecayDistribution(
args.agents, decay_alpha, decay_p)
else:
pass
if args.format == 'mtzdd':
if args.method == 'decay':
decay_alpha = args.params[0]
decay_p = args.params[1]
if args.output.name == '<stdout>':
os.system('./bdd.py --agents ' + str(args.agents) +