AnotherTest

AuthorAlphazone
Submission date2018-07-08 17:09:49.510220
Rating2971
Matches played212
Win rate31.13

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

Source code:

#Run as many small universes as we can, apply best one:
if input == "":
    import random
    
    nvm = 10
    nops = 6
    naddr = 10
    def make():
        pspace = [[random.random() for _ in range(nops)] for _ in range(naddr)]
        for cell in pspace:
            s = sum(cell)
            for n in cell:
                n /= s
        return {
                "p": pspace,
                "pc": 0,
                "dp": 0,
                "score": 0,
                "move": "S",
        }
    vms = [make() for _ in range(nvm)]
    
    for vm in vms:
        vm["d"] = [0 for _ in range(naddr)]
        
    def randselect(P):
        r = random.random()
        for i in range(len(P)):
            p = P[i]
            if r < p:
                return i
            r -= p
        return len(P) - 1
    
    def encode(x):
        if x == "S":
            return 0
        elif x == "P":
            return 1
        return 2
    def decode(x):
        x = x % 3
        if x == 0:
            return "S"
        elif x == 1:
            return "P"
        else:
            return "R"
    
    def payoff(mymove, opponents):
        if mymove == "R":
            if opponents == "R":
                return 0
            elif opponents == "P":
                return -1
            else: #S
                return 1
        elif mymove == "P":
            if opponents == "R":
                return 1
            elif opponents == "P":
                return 0
            else: #S
                return -1
        elif mymove == "S":
            if opponents == "R":
                return -1
            elif opponents == "P":
                return 1
            else: #S
                return 0
    
    def step(vm):
        def halt():
            return vm["move"]
        
        pspace = vm["p"]
        pc = vm["pc"]
        if pc >= len(pspace):
            return halt()
        
        dp = vm["dp"]
        dspace = vm["d"]
        data = dspace[dp]
        opcode = randselect(pspace[pc])
        vm["pc"] += 1
        
        if opcode == 0:
            dspace[dp] += 1
        elif opcode == 1:
            dspace[dp] -= 1
        elif opcode == 2:
            vm["dp"] = min(dp + 1, len(pspace) - 1)
        elif opcode == 3:
            vm["dp"] = max(dp - 1, 0)
        elif opcode == 4:
            return decode(data)
        elif opcode == 5:
            dspace[dp] = encode(input)
        
        return None
    def run():
        for vm in vms:
            if input != "":
                vm["score"] += payoff(vm["move"], input)
            vm["pc"] = 0
            res = None
            while res is None:
                res = step(vm)
            vm["move"] = res
        return max(vms, key = lambda x: x["score"])["move"]

output = run()