shots = qrange.parse_range(args.range)
args.shots = shots
if args.average == False:
for shot in shots:
analyze_shot(int(shot), args)
print ""
exit(0)
else:
analyze_shot(int(shots[0]), args, average=True)
print ""
exit(0)
path = os.getcwd()
exprs = ["/????atoms.manta", "/????atoms.fits", "/????atoms_andor2.fits"]
last = monitordir.get_last_shot(path, exprs)
# print last
current = monitordir.get_all_shots(path, exprs)
# print current
analyze_shot(last, args)
from multiprocessing import Pool
def a(x):
return analyze_shot(x, args)
def parallel_analyze(new):
pool = Pool(4)
ret = pool.map(a, new)
pool.close()
pool.join()