MarkovChainLearner[v1]

AuthorEmmanuel Harish Menon
Submission date2019-04-15 11:59:13.942526
Rating3747
Matches played118
Win rate38.14

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

Source code:

'''
Program Name: MarkovChainLearner[SubmissionCode]
Program by: Emmanuel Harish Menon
Last Updated: 9:47 PM 15/4/19
'''

#import modules
import random

#declare variables

randArrayPicker = "" #used to store a single string from array
randChoiceArray = ["R", "P", "S"] #used to pick a random choice at the start of the program
rockArray = ["R", "R", "R", "R", "R", "R", "P", "P", "S", "S"] #Markov chain probability when at "ROCK" state [R: 60% / P: 20% / S: 20%]
paperArray = ["P", "P", "P", "P", "P", "P", "R", "R", "S", "S"] #Markov chain probability when at "PAPER" state [P: 60% / R: 20% / S: 20%]
scissorsArray = ["S", "S", "S", "S", "S", "S", "P", "P", "R", "R"] #Markov chain probability when at "SCISSORS" state [S: 60% / P: 20% / R: 20%]

if input == "": #if no input has been taken yet, just pick something random
	output = randChoiceArray[random.randint(0, 2)]
else:
	if input == "R": #if users previous input was rock, use the rockArray to detemine choice
		randArrayPicker = rockArray[random.randint(0, 9)]
		if randArrayPicker == "R":
			output = "P"
		elif randArrayPicker == "P":
			output = "S"
		elif randArrayPicker == "S":
			output = "R"

	elif input == "S": #if users previous input was scissors, use the scissorsArray to detemine choice
		randArrayPicker = scissorsArray[random.randint(0, 9)]
		if randArrayPicker == "R":
			output = "P"
		elif randArrayPicker == "P":
			output = "S"
		elif randArrayPicker == "S":
			output = "R"
			
	elif input == "P": #if users previous input was paper, use the paperArray to detemine choice
		randArrayPicker = paperArray[random.randint(0, 9)]
		if randArrayPicker == "R":
			output = "P"
		elif randArrayPicker == "P":
			output = "S"
		elif randArrayPicker == "S":
			output = "R"