if option == "-h":
print __doc__
sys.exit()
else:
sys.exit("Unknown option " + option)
if not args:
print __doc__
sys.exit("No argument file given")
prots = []
for i in args:
fp = pylib_io.flexopen(i, "r")
print "Parsing: ", i
prot = pylib_eprot.eprot(i)
prot.parse()
pylib_io.flexclose(fp)
prots.append(prot)
filter_common_successes(prots)
filter_common_search(prots)
print prots[0].results_no()
#filter_hard_problems(prots, 4, 5000)
#print prots[0].results_no()
#for res in prots[0].results.keys():
# print prots[0].result(res).values[2], prots[11].result(res).values[2]
#for res in prots[0].results.keys():
# print prots[0].result(res)
for option, optarg in opts:
if option == "-h":
print __doc__
sys.exit()
elif option == "-s":
step = float(optarg)
elif option == "-l":
limit = float(optarg)
else:
sys.exit("Unknown option "+ option)
res = []
strats = []
for prot in args:
p = pylib_eprot.eprot(prot)
p.parse(os.path.dirname(prot))
res.append(p.get_performance_plot(step, limit))
print "# Column 1: Time step"
count = 2
for prot in args:
print "# Column %d: %s"%(count, prot)
count = count+1
for i in xrange(len(res[0])):
print "%6.2f"%(res[0][i][0],),
for j in xrange(len(res)):
print "%6d"%(res[j][i][1]),
print
print __doc__
sys.exit()
else:
sys.exit("Unknown option "+ option)
if not args:
print __doc__
sys.exit("No argument file given")
prots = []
for i in args:
fp = pylib_io.flexopen(i, "r")
print "Parsing: ",i
prot = pylib_eprot.eprot(i)
prot.parse();
pylib_io.flexclose(fp)
prots.append(prot)
filter_common_successes(prots)
filter_common_search(prots)
print prots[0].results_no()
# filter_hard_problems(prots, 4, 1000)
# print prots[0].results_no()
#for res in prots[0].results.keys():
# print prots[3].result(res).values[12], prots[5].result(res).values[12],\
# prots[3].result(res).values[13], prots[5].result(res).values[13]
if option == "-h":
print __doc__
sys.exit()
elif option == "-s":
step = float(optarg)
elif option == "-l":
limit = float(optarg)
else:
sys.exit("Unknown option "+ option)
res = []
strats = []
for prot in args:
print prot
p = pylib_eprot.eprot(prot)
p.parse(os.path.dirname(prot))
res.append(p.get_performance_plot(step, limit))
print "# Column 1: Time step"
count = 2
for prot in args:
print "# Column %d: %s"%(count, prot)
count = count+1
for i in xrange(len(res[0])):
print "%6.2f"%(res[0][i][0],),
for j in xrange(len(res)):
print "%6d"%(res[j][i][1]),
print