# switching6

 Author pyfex Submission date 2011-06-10 16:25:33.450073 Rating 7262 Matches played 5155 Win rate 73.64

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

## Source code:

``````# Similar to switching3, but a different strategy selection:
# always use best performed strategy

import random

if input == "":
dna = ""
opp = []

anti_expected = {'P': 'S', 'S': 'R', 'R': 'P'}
dna_encode = {'PP': '1', 'PR': '2', 'PS': '3', 'RP': '4', 'RS': '5','RR': '6','SS': '7','SP': '8', 'SR': '9',}
dna_decode = {'1':'PP', '2':'PR', '3':'PS','4':'RP','5':'RS','6':'RR','7':'SS','8':'SP','9':'SR',}
score = {'RR': 0, 'PP': 0, 'SS': 0, 'PR': 1, 'RS': 1, 'SP': 1,'RP': -1, 'SR': -1, 'PS': -1,}
output = random.choice(["R", "P", "S"])

index = random.randint(0,2)
candidates = [output] * 3
performance = [0, 0, 0]
total = 0
else:
dna += dna_encode[input + output]
opp.append(input)
sc = score[output+input]
total += sc

for i in range(3):
s = score[candidates[i]+input]
if s == -1:
performance[i] = 0
elif s == 1:
performance[i] += 1
elif total < 0 and s == 0:
performance[i] = 0

m = max(performance)
bestlist = [i for i, c in enumerate(performance) if c == m]
index = random.choice(bestlist)

candidates[0] = anti_expected[random.choice(opp)]
candidates[1] = anti_expected[random.choice(opp)]
candidates[2] = anti_expected[random.choice(opp)]

for length in range(min(4, len(dna)-1), 0, -1):
search = dna[-length:]
idx = dna.rfind(search, 0, -1)
if idx != -1: