Created
November 2, 2012 21:29
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A simple simulation of the Monty Hall Problem.
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#!/usr/bin/env python | |
# coding=utf-8 | |
from __future__ import division | |
import itertools as it | |
import random as r | |
from sys import argv | |
def play_round(switch_choice=True): | |
doors = [1, 2, 3] | |
player_pick = r.choice(doors) | |
master_pick = r.choice(doors) | |
reveal_pick = r.choice(filter( | |
lambda d: d != player_pick and d != master_pick, | |
doors | |
)) | |
if switch_choice: | |
player_pick = filter( | |
lambda d: d != player_pick and d != reveal_pick, | |
doors | |
)[0] | |
return player_pick == master_pick | |
if __name__ == "__main__": | |
N_rounds = 1000000 | |
if len(argv) > 1: | |
N_rounds = int(argv[1]) | |
print("Playing {} rounds for each strategy.".format(N_rounds)) | |
result_switch = len(filter( | |
lambda play: play(), | |
it.repeat(play_round, N_rounds)) | |
)/N_rounds | |
result_stay = len(filter( | |
lambda play: play(switch_choice=False), | |
it.repeat(play_round, N_rounds)) | |
)/N_rounds | |
print("Switch: {:.0%}".format(result_switch)) | |
print("Stay : {:.0%}".format(result_stay)) |
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