def report():
def autolabel(rect_s):
# attach some text labels
for rect in rect_s:
height = rect.get_height()
ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
'%0.2f' % height,
ha='center', va='bottom')
processors_stats = evaluate_model(MODEL)
width = 0.6
size = len(ALGOS)+1
ind = np.arange(start=0, step=size*width, stop=PROCESSORS*size*width, dtype=float)
fig, ax = plt.subplots()
rects = ()
algos = ()
for index, algo_name in enumerate(ALGOS):
means = ()
iqrs = ()
for p_i in range(1, PROCESSORS+1):
means += (processors_stats[p_i][algo_name]["mean"], )
iqrs += (processors_stats[p_i][algo_name]["iqr"], )
rect = ax.bar(ind + index*width, means, width, color=COLORS[index], yerr=iqrs, ecolor='black')
rects += (rect, )
algos += (algo_name, )
measure = MEASURE.__name__.split("_")[0].upper()
ax.set_ylabel(measure)
ax.set_title(measure)
ax.set_xticks(ind + len(ALGOS)*width/2)
ax.set_xticklabels(tuple(range(1, PROCESSORS+1)))
ax.legend(rects, algos)
#for rect in rects:autolabel(rect)
folder = mkdir(FOLDER+"/figures/")
plt.savefig(folder+"%s_%s.png"%(MODEL, MEASURE.__name__.split("_")[0]))
def _single_test(repeat=0):
experiment = sys.argv[1]
problem = None
if experiment == "SHP":
INPUT = SHP_Min
setRecordPoint(True)
return
elif experiment == "WPT":
INPUT = WPT_Min
problem = WebPortal()
elif experiment == "ERS":
INPUT = ERS_Min
problem = EmergencyResponse()
else:
return
num_consumers = int(str(sys.argv[3]).strip())
solvers = replicateSolver(INPUT.s, num_consumers)
outputFileParentName = str(sys.argv[2]).strip()
# Establish communication queues
mgr = multiprocessing.Manager()
taskQueue = []
for i in xrange(num_consumers):
taskQueue.append(mgr.Queue())
ParetoFront = mgr.Queue()
totalTime = mgr.Queue()
# Enqueue initial tasks
for i in xrange(num_consumers):
taskQueue[i].put("Task")
# Start consumers
consumersList = [ Consumer(taskQueue, ParetoFront, totalTime, i, outputFileParentName, num_consumers, solvers[i], INPUT)
for i in xrange(num_consumers)]
starttime = time.time()
for w in consumersList:
w.start()
for w in consumersList:
w.join()
runningtime = 0.0
while totalTime.qsize() > 0:
ttime = totalTime.get()
if (float(ttime) < runningtime):
runningtime = float(ttime)
endtime = time.time()
TotalOverlappingParetoFront = ParetoFront.qsize()
pf = []
while not ParetoFront.empty():
pf.append(ParetoFront.get())
pf = problem.convert_to_points(pf)
pf = sel_nsga2(problem, pf, Cons.default_settings().GALE_pop_size)
new_dir = mkdir("results/"+str(datetime.date.today())+"/")
outputFileParent = open(new_dir+str(outputFileParentName+'.csv'), 'a')
try:
# keep a zero position for the same merging program as opGIA
# in fact, here zero should be 356, as we already check it using the above code
outputFileParent.writelines(str(num_consumers) + ',' + str(TotalOverlappingParetoFront) +',' + '0' + ',' + str(endtime - starttime) + '\n')
finally:
outputFileParent.close()
obj_file = mkdir(new_dir+"/repeat_"+str(repeat)+"/") + str(outputFileParentName)+"_"+str(num_consumers)+"_objs"
write_objs([one.objectives for one in pf], obj_file)