# MetaAngstrom

 Author Sean Submission date 2016-02-12 13:29:38.731829 Rating 5237 Matches played 335 Win rate 53.13

Use rpsrunner.py to play unranked matches on your computer.

## Source code:

``````import random

if input == "":
index = {"R": 0, "P": 1, "S": 2}
counts = [0, 0, 0]
names = ("R", "P", "S")
beat = (1, 2, 0)
R, P, S = 0, 1, 2
meta = [(R, P, S), (P, S, R), (S, R, P),
(R, S, P), (P, R, S), (S, P, R)]
output = random.choice(names)
meta_counts_pos = [0 for _ in xrange(6)]
meta_counts_neg = [0 for _ in xrange(6)]
m = None
else:
k = index[input]
if m is not None:
for j, x in enumerate(meta):
n = meta[m][i]
if n == beat[k]:
meta_counts_neg[j] += 1
elif k == beat[n]:
meta_counts_neg[j] += 1
meta_counts_neg[j] *= 0.98
meta_counts_pos[j] *= 0.98
else:
m = 0
counts[k] += 1
for i in xrange(3):
counts[i] *= 0.98
def r(n):
return random.gammavariate(n + 1, 1)
sample = [r(n) for n in counts]
meta_sample = [r(a) - r(b) for a, b in zip(meta_counts_pos,
meta_counts_neg)]
expected_values = [sample[2] - sample[1],
sample[0] - sample[2],
sample[1] - sample[0]]
i = expected_values.index(max(expected_values))
m = meta_sample.index(max(meta_sample))
output = names[meta[m][i]]``````