Author | PGODULTIMATE |
Submission date | 2018-03-29 03:24:03.625160 |
Rating | 1917 |
Matches played | 297 |
Win rate | 19.19 |
Use rpsrunner.py to play unranked matches on your computer.
import random
winEas,loseEas,tieEas = 0.0,0.0,0.0
round = 0
previ = 0
buildTMatrix = {'rr': 1, 'rp': 1, 'rs': 1, 'pr': 1, 'pp': 1, 'ps': 1, 'sr': 1, 'sp': 1, 'ss': 1}
buildTMatrixL = {'rr': 1, 'rp': 1, 'rs': 1, 'pr': 1, 'pp': 1, 'ps': 1, 'sr': 1, 'sp': 1, 'ss': 1}
buildTMatrixT = {'rr': 1, 'rp': 1, 'rs': 1, 'pr': 1, 'pp': 1, 'ps': 1, 'sr': 1, 'sp': 1, 'ss': 1}
n = 3
m = 3
tMatrix = [[0] * m for i in range(n)]
tMatrixL = [[0] * m for i in range(n)]
tMatrixT = [[0] * m for i in range(n)]
probabilitiesRPS = [1/3,1/3,1/3]
probabilitiesRPSL = [1/3,1/3,1/3]
if input == "":
global probabilitiesRPS
choices = ["Rock","Paper","Scissors"]
choi = ['r','p','s']
select = ['R','P','S']
continuePlaying = True
prevChoice = ""
probRock = 0
probPaper = 0
probScissors = 0
machineChoice = random.randint(0, 2)
output = select[machineChoice]
round += 1
elif input == "R" and round == 1:
previ = secondRound(0)
round += 1
elif input == "P" and round == 1:
previ = secondRound(1)
round += 1
elif input == "S" and round == 1:
previ = secondRound(2)
round += 1
elif input == "R":
previ = markov (previ,0)
elif input == "P":
previ = markov (previ,1)
elif input == "S":
previ = markov (previ,2)
def secondRound(cur):
global probabilitiesRPS
choices = ["Rock","Paper","Scissors"]
choi = ['r','p','s']
select = ['R','P','S']
continuePlaying = True
probRock = 0
probPaper = 0
probScissors = 0
machineChoice = random.randint(0, 2)
output = select[machineChoice]
prevChoice = cur
return prevChoice
def markov(prev,now):
global probabilitiesRPS
choices = ["Rock","Paper","Scissors"]
select = ['R','P','S']
choi = ['r','p','s']
prevChoice = prev
probRock = 0
probPaper = 0
probScissors = 0
machineChoice = random.randint(0, 2)
choice = now
result = ""
transMatrix = buildTransitionProbabilities(prevChoice,choice,result)
machineChoice = random.randint(1, 100)
probabilitiesRPS[0] = transMatrix[prevChoice][0]
probabilitiesRPS[1] = transMatrix[prevChoice][1]
probabilitiesRPS[2] = transMatrix[prevChoice][2]
rangeR = probabilitiesRPS[0] * 100
rangeP = probabilitiesRPS[1] * 100 + probabilitiesRPS[0]
if (machineChoice <= rangeR):
machineChoice = 1
elif (machineChoice <= rangeP):
machineChoice = 2
else:
machineChoice = 0
result = checkWin(choice,machineChoice,1)
prevChoice = choice
return prevChoice
def buildTransitionProbabilities(pC,c,winloss):
global buildTMatrix
global buildTMatrixL
global buildTMatrixT
choi = ['r','p','s']
if winloss == "Win!":
for i, x in buildTMatrix.items():
if ('%s%s' % (choi[pC],choi[c]) == i):
buildTMatrix['%s%s' % (choi[pC], choi[c])] += 1
elif winloss == "Tied!":
for i, x in buildTMatrixT.items():
if ('%s%s' % (choi[pC],choi[c]) == i):
buildTMatrixT['%s%s' % (choi[pC], choi[c])] += 1
else:
for i, x in buildTMatrixL.items():
if ('%s%s' % (choi[pC],choi[c]) == i):
buildTMatrixL['%s%s' % (choi[pC], choi[c])] += 1
return buildTransitionMatrix(winloss)
def buildTransitionMatrix(winlosstwo):
global tMatrix
global tMatrixL
global tMatrixT
if winlosstwo == "Win!":
rock = buildTMatrix['rr'] + buildTMatrix['rs'] +buildTMatrix['rp']
paper = buildTMatrix['pr'] + buildTMatrix['ps'] +buildTMatrix['pp']
scissors = buildTMatrix['sr'] + buildTMatrix['ss'] +buildTMatrix['sp']
choi = ['r','p','s']
for row_index, row in enumerate(tMatrix):
for col_index, item in enumerate(row):
a = int(buildTMatrix['%s%s' % (choi[row_index],choi[col_index])])
if (row_index == 0):
c = a/rock
elif (row_index == 1):
c = a/paper
else:
c = a/scissors
row[col_index] = float(c)
return (tMatrix)
elif winlosstwo == "Tied!":
rock = buildTMatrixT['rr'] + buildTMatrixT['rs'] +buildTMatrixT['rp']
paper = buildTMatrixT['pr'] + buildTMatrixT['ps'] +buildTMatrixT['pp']
scissors = buildTMatrixT['sr'] + buildTMatrixT['ss'] +buildTMatrixT['sp']
choi = ['r','p','s']
for row_index, row in enumerate(tMatrixT):
for col_index, item in enumerate(row):
a = int(buildTMatrixT['%s%s' % (choi[row_index],choi[col_index])])
if (row_index == 0):
c = a/rock
elif (row_index == 1):
c = a/paper
else:
c = a/scissors
row[col_index] = float(c)
return (tMatrixT)
else:
rock = buildTMatrixL['rr'] + buildTMatrixL['rs'] +buildTMatrixL['rp']
paper = buildTMatrixL['pr'] + buildTMatrixL['ps'] +buildTMatrixL['pp']
scissors = buildTMatrixL['sr'] + buildTMatrixL['ss'] +buildTMatrixL['sp']
choi = ['r','p','s']
for row_index, row in enumerate(tMatrixL):
for col_index, item in enumerate(row):
a = int(buildTMatrixL['%s%s' % (choi[row_index],choi[col_index])])
if (row_index == 0):
c = a/rock
elif (row_index == 1):
c = a/paper
else:
c = a/scissors
row[col_index] = float(c)
return (tMatrixL)
def checkWin(user, machine,mode):
win = False
tie = False
if(user == 0):
if(machine == 2):
win = True
tie = False
elif (machine == 1):
win = False
tie = False
else:
tie = True
elif(user == 1):
if(machine == 0):
win = True
tie = False
elif (machine == 2):
win = False
tie = False
else:
tie = True
else:
if(machine == 1):
win = True
tie = False
elif (machine == 0):
win = False
tie = False
else:
tie = True
if(tie == True):
checkStats(2,mode)
return "Tied!"
elif(win):
checkStats(0,mode)
return "Win!"
else:
checkStats(1,mode)
return "Lose!"
def checkStats(wlt,modeChosen):
global winEas
global loseEas
global tieEas
if (modeChosen == 1):
if (wlt == 0):
winEas += 1
elif (wlt == 1):
loseEas += 1
else:
tieEas += 1