This program has been disqualified.
Author | dllu |
Submission date | 2011-06-14 22:18:05.638630 |
Rating | 7453 |
Matches played | 2179 |
Win rate | 76.64 |
#This is a DNA werfer. It werfs DNA!
import random
number_of_predictors = 36 #yes, this really has 36 predictors.
predictors=range(number_of_predictors)
for i in range(number_of_predictors):
predictors[i]=random.choice(['R','P','S'])
if not input:
beat={'R':'P','P':'S','S':'R'}
urmoves=""
mymoves=""
DNAmoves=""
output=random.choice(['R','P','S'])
predictorscore=range(number_of_predictors)
nuclease={'RP':'a','PS':'b','SR':'c','PR':'d','SP':'e','RS':'f','RR':'g','PP':'h','SS':'i'}
length=0
else:
for i in range(number_of_predictors):
predictorscore[i]+=(input==oldpredictors[i])*3
if input==beat[beat[oldpredictors[i]]]:
predictorscore[i]=0
#History matching
urmoves+=input
mymoves+=output
DNAmoves+=nuclease[input+output]
length+=1
limit = min([length,100])
j=limit
while j>=1 and not DNAmoves[length-j:length] in DNAmoves[0:length-1]:
j-=1
if j>=1:
i = DNAmoves.find(DNAmoves[length-j:length],0,length-1)
predictors[0] = urmoves[j+i]
predictors[1] = beat[mymoves[j+i]]
i = DNAmoves.rfind(DNAmoves[length-j:length],0,length-1)
predictors[2] = urmoves[j+i]
predictors[3] = beat[mymoves[j+i]]
j=limit
while j>=1 and not urmoves[length-j:length] in urmoves[0:length-1]:
j-=1
if j>=1:
i = urmoves.find(urmoves[length-j:length],0,length-1)
predictors[4] = urmoves[j+i]
predictors[5] = beat[mymoves[j+i]]
i = urmoves.rfind(urmoves[length-j:length],0,length-1)
predictors[6] = urmoves[j+i]
predictors[7] = beat[mymoves[j+i]]
j=limit
while j>=1 and not mymoves[length-j:length] in mymoves[0:length-1]:
j-=1
if j>=1:
i = mymoves.find(mymoves[length-j:length],0,length-1)
predictors[8] = urmoves[j+i]
predictors[9] = beat[mymoves[j+i]]
i = mymoves.rfind(mymoves[length-j:length],0,length-1)
predictors[10] = urmoves[j+i]
predictors[11] = beat[mymoves[j+i]]
for i in range(12,36):
predictors[i]=beat[beat[predictors[i-12]]] #Trying to second guess me?
#compare predictors
output = beat[predictors[predictorscore.index(max(predictorscore))]]
oldpredictors=predictors