from sys import argv
from math import sqrt

bigdata = eval(open("sle.dat").read())

size_code = int(argv[1])
size = 2**size_code

perturb_code = int(argv[2])
perturb = 2**perturb_code

eps_code = 3
print "size=%d, perturb=%d" % (size,perturb)

def f(k):
    return sqrt(2.*k/3.)/(3.*size)

lst = []
for trial in range(0,250):
    d = bigdata.get((size_code,perturb_code,eps_code,trial),-1)
    if d<0:
        continue
    lst.append(d)

unsorted = list(lst)

if lst:
    lst.sort()
    print "%d numbers, from %4.2f to %4.2f" % (len(lst),f(lst[0]),f(lst[-1]))
    for q in (0.1,0.25,0.5,0.75,0.9):
        quantile = lst[int(q*(len(lst)-1))]
        place = unsorted.index(quantile)
        print "%d%% %4.3f (%d) [%d]" % \
              (int(0.5+100*q),f(quantile),quantile,place)
else:
    print "no such data"