# switching5

 Author pyfex Submission date 2011-06-10 12:29:40.890228 Rating 7112 Matches played 5230 Win rate 73.38

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

## Source code:

``````# Also uses rndbeat as an available strategy like switching3.
# Use total to avoid drawing strategies when behind.
import random

if input == "":
dna = ""
opp_played = []
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,}
total = 0
output = random.choice(["R", "P", "S"])

index = random.randint(0,5)
predicted = [output] * 7
correct = [0] * 7
else:
dna += dna_encode[input + output]
opp_played.append(input)
sc = score[output+input]
total += sc

for i, p in enumerate(predicted):
s = score[p+input]
if s == -1:
correct[i] = 0
elif s == 1:
correct[i] += 1

if sc == -1 or (total <= 0 and sc == 0):
m = max(correct)
index = correct.index(m)

c = anti_expected[random.choice(opp_played)]
for i, p in enumerate(predicted):
predicted[i] = c

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