import random weights = [(0,0.08),(1,0.51),(2,0.51)] results = [] def weighted_choice(choices): total = sum(w for c, w in choices) r = random.uniform(0, total) upto = 0 for c, w in choices: if upto + w > r: return c upto += w assert False, "Shouldn't get here" for x in range(1000): rolls = [] while True: rolls.append(weighted_choice(weights)) if len(set(rolls)) == 3: results.append(len(rolls)) break print "Mean:\t %.2f" % (float(sum(results))/len(results)) prob = dict() for num in results: prob[num] = prob.get(num,0) + 1 for num, tot in prob.items(): perc = (float(tot)/len(results)) * 100 prob[num] = perc cumprob = 0 for num, perc in prob.items(): cumprob += perc print "%d:\t%.2f" % (num, cumprob)
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