Centrifugal Bumblepuppy 3

This program has been disqualified.

Source code:

#                         WoofWoofWoof
#                     Woof            Woof
#                Woof                      Woof
#              Woof                          Woof
#             Woof  Centrifugal Bumble-puppy  Woof
#              Woof                          Woof
#                Woof                      Woof
#                     Woof            Woof
#                         WoofWoofWoof

import random

number_of_predictors = 54 #yes, this really has 54 predictors.
number_of_metapredictors = 4 #actually, I lied! This has 216 predictors.


if not input:
	limits = [50,20,6]
	beat={'R':'P','P':'S','S':'R'}
	urmoves=""
	mymoves=""
	DNAmoves=""
	outputs=[random.choice("RPS")]*number_of_metapredictors
	predictorscore1=[3]*number_of_predictors
	predictorscore2=[3]*number_of_predictors
	predictorscore3=[3]*number_of_predictors
	predictorscore4=[3]*number_of_predictors
	nuclease={'RP':'a','PS':'b','SR':'c','PR':'d','SP':'e','RS':'f','RR':'g','PP':'h','SS':'i'}
	length=0
	predictors=[random.choice("RPS")]*number_of_predictors
	metapredictors=[random.choice("RPS")]*number_of_metapredictors
	metapredictorscore=[3]*number_of_metapredictors
else:

	for i in range(number_of_predictors):
		#metapredictor 1
		predictorscore1[i]*=0.8
		predictorscore1[i]+=(input==predictors[i])*3
		predictorscore1[i]-=(input==beat[beat[predictors[i]]])*3
		#metapredictor 2: beat metapredictor 1 (probably contains a bug)
		predictorscore2[i]*=0.8
		predictorscore2[i]+=(output==predictors[i])*3
		predictorscore2[i]-=(output==beat[beat[predictors[i]]])*3
		#metapredictor 3
		predictorscore3[i]+=(input==predictors[i])*3
		if input==beat[beat[predictors[i]]]:
			predictorscore3[i]=0
		#metapredictor 4: beat metapredictor 3 (probably contains a bug)
		predictorscore4[i]+=(output==predictors[i])*3
		if output==beat[beat[predictors[i]]]:
			predictorscore4[i]=0
			
	for i in range(number_of_metapredictors):
		metapredictorscore[i]*=0.9
		metapredictorscore[i]+=(input==metapredictors[i])*3
		metapredictorscore[i]-=(input==beat[beat[metapredictors[i]]])*3
		
	
	#History matching
	urmoves+=input		
	mymoves+=output
	DNAmoves+=nuclease[input+output]
	length+=1
	
	for z in range(3):
		limit = min([length,limits[z]])
		j=limit
		while j>=1 and not DNAmoves[length-j:length] in DNAmoves[0:length-1]:
			j-=1
		if j>=1:
			i = DNAmoves.rfind(DNAmoves[length-j:length],0,length-1) 
			predictors[0+6*z] = urmoves[j+i] 
			predictors[1+6*z] = 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.rfind(urmoves[length-j:length],0,length-1) 
			predictors[2+6*z] = urmoves[j+i] 
			predictors[3+6*z] = 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.rfind(mymoves[length-j:length],0,length-1) 
			predictors[4+6*z] = urmoves[j+i] 
			predictors[5+6*z] = beat[mymoves[j+i]]
	
	for i in range(18,54):
		predictors[i]=beat[beat[predictors[i-18]]] #Trying to second guess me?
	
	metapredictors[0]=predictors[predictorscore1.index(max(predictorscore1))]
	metapredictors[1]=beat[predictors[predictorscore2.index(max(predictorscore2))]]
	metapredictors[2]=predictors[predictorscore3.index(max(predictorscore3))]
	metapredictors[3]=beat[predictors[predictorscore4.index(max(predictorscore4))]]
	
	#compare predictors
output = beat[metapredictors[metapredictorscore.index(max(metapredictorscore))]]
if random.random<0.19:
	output=random.choice("RPS")