def run_benchmark():
seed = 0
num_instances = 100
num_bins = 100
num_resources = 5
min_fill = .8
rate = .25
rem = .8
sd = .2
# open_files('_unif_'+str(num_bins)+'_'+str(num_resources))
# open_files('_unif_rare_'+str(num_bins)+'_'+str(num_resources)+'_'+str(rate))
#open_files('_cor_'+str(num_bins)+'_'+str(num_resources)+'_'+str(sd))
open_files('_similar_' + str(num_bins) + '_' + str(num_resources) + '_' +
str(sd))
for i in xrange(num_instances):
#inst = generator(num_bins, num_resources, min_fill, unif_bin, seed, proc_rate=rate)
#inst = generator(num_bins, num_resources, min_fill, correlated_capacities, seed, rem_cons=rem, dev=sd, correlated_items = True)
base = [random.randint(5, 200) for i in xrange(num_resources)]
inst = generator(num_bins,
num_resources,
min_fill,
similar_items,
seed,
base_item=Item(base),
dev=sd)
instance_file.write(repr_instance(inst) + '\n')
seed += 1
run_tests(inst)
instance_file.flush()
close_files()
def run_pr(num_bins,num_resources,min_fill,rem,rate=1.,sd=.1, cori = False):
seed = 0
num_instances = 100
instances = []
for i in xrange(num_instances):
inst = generator(num_bins, num_resources, min_fill, unif_bin,
seed, rem_cons=rem, proc_rate=rate)
#inst = generator(num_bins, num_resources, min_fill,
# correlated_capacities, seed, rem_cons=rem, dev=sd,
# correlated_items = cori)
#inst = generator(num_bins, num_resources, min_fill,
# similar, seed, dev=sd)
instances.append(inst)
seed += 1
run_tests(inst)
return instances
def run_pr(num_bins, num_resources, min_fill, rem, rate=1., sd=.1, cori=False):
seed = 0
num_instances = 100
instances = []
for i in xrange(num_instances):
#inst = generator(num_bins, num_resources, min_fill, unif_bin,
# seed, rem_cons=rem, proc_rate=rate)
inst = generator(num_bins,
num_resources,
min_fill,
correlated_capacities,
seed,
rem_cons=rem,
dev=sd,
correlated_items=cori)
#inst = generator(num_bins, num_resources, min_fill,
# similar, seed, dev=sd)
instances.append(inst)
seed += 1
run_tests(inst)
return instances
def run_benchmark():
seed = 0
num_instances = 100
num_bins = 100
num_resources = 5
min_fill = .8
rate=.25
rem=.8
sd = .2
# open_files('_unif_'+str(num_bins)+'_'+str(num_resources))
# open_files('_unif_rare_'+str(num_bins)+'_'+str(num_resources)+'_'+str(rate))
#open_files('_cor_'+str(num_bins)+'_'+str(num_resources)+'_'+str(sd))
open_files('_similar_'+str(num_bins)+'_'+str(num_resources)+'_'+str(sd))
for i in xrange(num_instances):
#inst = generator(num_bins, num_resources, min_fill, unif_bin, seed, proc_rate=rate)
#inst = generator(num_bins, num_resources, min_fill, correlated_capacities, seed, rem_cons=rem, dev=sd, correlated_items = True)
base = [random.randint(5,200) for i in xrange(num_resources)]
inst = generator(num_bins, num_resources, min_fill, similar_items, seed, base_item=Item(base), dev=sd)
instance_file.write(repr_instance(inst)+'\n')
seed += 1
run_tests(inst)
instance_file.flush()
close_files()
