Author | pyfex |
Submission date | 2011-06-15 14:31:59.665220 |
Rating | 7478 |
Matches played | 4996 |
Win rate | 77.02 |
Use rpsrunner.py to play unranked matches on your computer.
# See http://overview.cc/RockPaperScissors for more information about rock, paper, scissors
# Similar to switching7 with another strategy selection and an additional predictor
import random
if input == "":
hist = ""
opp_played = []
counter = {'P': 'S', 'S': 'R', 'R': 'P'}
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"])
predict1 = [output, output]
predict2 = [output] * 7
correct1 = [0, 0]
correct2 = [(0,0)] * 7
else:
hist += output.lower()+input
opp_played.append(input)
correct1[0] += score[predict1[0]+input]
correct1[1] += score[predict1[1]+input]
for i, p in enumerate(predict2):
correct2[i] = ({1:correct2[i][0]+1, 0: correct2[i][0], -1: 0}[score[p+input]], correct2[i][1]+score[p+input])
index1 = correct1.index(max(correct1))
index2 = correct2.index(max(correct2, key=lambda x: x[0]**3+x[1]))
index7 = correct2[:6].index(max(correct2[:6], key=lambda x: x[0]**3+x[1]))
predict1[1] = counter[random.choice(opp_played)]
for length in range(min(10, len(hist)-2), 0, -2):
search = hist[-length:]
idx = hist.rfind(search, 0, -2)
if idx != -1:
my = hist[idx+length].upper()
opp = hist[idx+length+1]
predict2[0] = counter[opp]
predict2[1] = counter[counter[my]]
predict2[2] = counter[counter[opp]]
predict2[3] = counter[my]
predict2[4] = opp
predict2[5] = my
break
else:
predict2 = [random.choice(['R', 'P', 'S'])] * 7
predict2[6] = counter[counter[predict2[index7]]]
predict1[0] = predict2[index2]
output = predict1[index1]