#!/usr/bin/python3
'''Display a bell curve for a fake normal distribution'''
# experimenting with normal distributions of coin flips
# Usage: distr.py Nexprs Mflips [differentN]
# Requires python3.6 as of 2021-07-28
import sys, random, signif
from nltk import FreqDist

n=int(sys.argv[1])
m=int(sys.argv[2])
if len(sys.argv)>3:
  nn=int(sys.argv[3])
else:
  nn=None
fd=FreqDist()
for i in range(n):
    fd[sum(random.randint(0,1) for i in range(m))]+=1

if nn is not None:
  fd2=FreqDist()
  for i in range(nn):
      fd2[sum(random.randint(0,1) for i in range(m))]+=1

  fd.bell(xtra=fd2)
else:
  fd.bell()