AnotherAnotherAnotherTest

AuthorAlphazone
Submission date2018-07-12 03:30:43.627130
Rating3569
Matches played207
Win rate39.61

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

Source code:

HARDCODED = True
if input == "":
    import random
    import uuid
    import pickle
    
    nvm = 10
    nops = 6
    naddr = 10
    
    if not 'vms' in locals():
        if HARDCODED:
            vms = [
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            , 
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            , 
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            , 
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            , 
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            , 
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            , 
            b'(dp0\nVid\np1\nccopy_reg\n_reconstructor\np2\n(cuuid\nUUID\np3\nc__builtin__\nobject\np4\nNtp5\nRp6\n(dp7\nVint\np8\nL112938317739200420823796628717163793717L\nsbsVpc\np9\nL2L\nsVdp\np10\nL8L\nsVp\np11\n(lp12\n(lp13\nF0.09676191628858406\naF0.17206794030596603\naF0.2068954586674071\naF0.231966344635814\naF0.2572102750346184\naF0.03509806506761034\naa(lp14\nF0.17108971635123188\naF0.3066127971681964\naF0.04195023282809449\naF0.09099701270182001\naF0.2812478505046585\naF0.10810239044599855\naa(lp15\nF0.08934965424616176\naF0.2526311371159242\naF0.1200683290225696\naF0.13963448612315602\naF0.174934193320242\naF0.22338220017194646\naa(lp16\nF0.1837182694932485\naF0.1360788856026009\naF0.15120283825171146\naF0.18347994258456699\naF0.217566175114234\naF0.12795388895363802\naa(lp17\nF0.14909956245582828\naF0.083518314974405\naF0.22014019779903\naF0.1836921370782162\naF0.22041998866294926\naF0.1431297990295713\naa(lp18\nF0.13671293291540235\naF0.2549052795843807\naF0.2340194098484543\naF0.00710553748632629\naF0.2889860454787131\naF0.07827079468672345\naa(lp19\nF0.0680381030541186\naF0.06335641280997903\naF0.31761134733117263\naF0.00276114571278173\naF0.4235793477972571\naF0.12465364329469086\naa(lp20\nF0.28695899711762757\naF0.09604967604739234\naF0.1474814056427745\naF0.19567708426462063\naF0.1097535586777419\naF0.164079278249843\naa(lp21\nF0.14108084393403533\naF0.3170477645912786\naF0.17825756434681952\naF0.029809584800737227\naF0.11458685689894577\naF0.21921738542818345\naa(lp22\nF0.020211212152396008\naF0.25078929372727515\naF0.2524845112030463\naF0.17009684807872058\naF0.13110859135954325\naF0.17530954347901867\naasVd\np23\n(lp24\nL1L\naL-1L\naL-1L\naL-2L\naL0L\naL0L\naL0L\naL0L\naL0L\naL-1L\nasVrounds\np25\nL49950L\nsVscore\np26\nL-60L\nsVmove\np27\nVS\np28\nsVfitness\np29\nL-102365L\ns.'
            , 
            b'(dp0\nVpc\np1\nL10L\nsVp\np2\n(lp3\n(lp4\nF0.24392278400624792\naF0.02783087363717282\naF0.13924103877480534\naF0.2296390808940177\naF0.2598251304748991\naF0.09954109221285713\naa(lp5\nF0.20732700389459388\naF0.21305473486722604\naF0.21294382781217727\naF0.06865680944747446\naF0.10725831237107765\naF0.19075931160745077\naa(lp6\nF0.2297954228867666\naF0.2367485635487856\naF0.15052260523607736\naF0.1956077166617999\naF0.043656174236902184\naF0.1436695174296682\naa(lp7\nF0.10326168250090581\naF0.17400379417907183\naF0.2844900923545086\naF0.09369976527764753\naF0.23608636647241193\naF0.10845829921545436\naa(lp8\nF0.12451368080850421\naF0.21613940705636925\naF0.06307561503790944\naF0.24343981959715938\naF0.26580848625842945\naF0.0870229912416284\naa(lp9\nF0.1124591216832763\naF0.45399925626430065\naF0.23866315833576915\naF0.05090150774521849\naF0.13029398124131109\naF0.013682974730124352\naa(lp10\nF0.15387343389410107\naF0.19487846884127388\naF0.04081793880415149\naF0.18279199540532248\naF0.25860837608557224\naF0.1690297869695788\naa(lp11\nF0.19979578986496394\naF0.2440484059011639\naF0.07958889415219378\naF0.13004815738340778\naF0.20737100837014763\naF0.13914774432812288\naa(lp12\nF0.1898320147636066\naF0.26820464225214563\naF0.05070900101209785\naF0.15425692261379695\naF0.021148939497455305\naF0.31584847986089787\naa(lp13\nF0.10222949874718773\naF0.3946424916758177\naF0.07104509530277214\naF0.24233277028474867\naF0.0023788230064161063\naF0.18737132098305753\naasVdp\np14\nL5L\nsVid\np15\nccopy_reg\n_reconstructor\np16\n(cuuid\nUUID\np17\nc__builtin__\nobject\np18\nNtp19\nRp20\n(dp21\nVint\np22\nL337049673695725434307862774255817132647L\nsbsVd\np23\n(lp24\nL1L\naL-2L\naL2L\naL0L\naL2L\naL2L\naL1L\naL2L\naL1L\naL-1L\nasVrounds\np25\nL49950L\nsVscore\np26\nL-51L\nsVmove\np27\nVS\np28\nsVfitness\np29\nL-122304L\ns.'
            , 
            b'(dp0\nVpc\np1\nL10L\nsVp\np2\n(lp3\n(lp4\nF0.2390113831005089\naF0.031013404586131676\naF0.17697973121325333\naF0.11320717580337347\naF0.10106279821251411\naF0.3387255070842185\naa(lp5\nF0.04358663907296538\naF0.3437140248407732\naF0.05257450348367596\naF0.1827512983883102\naF0.2123837812509382\naF0.16498975296333715\naa(lp6\nF0.03714055500902965\naF0.1821284452140362\naF0.28515309259966126\naF0.11191449821396128\naF0.09814215416566685\naF0.2855212547976447\naa(lp7\nF0.0707852469653016\naF0.26773077042926224\naF0.02925892843451494\naF0.46942844742851003\naF0.13115683015728127\naF0.03163977658512977\naa(lp8\nF0.08164920946932762\naF0.12126065918940977\naF0.3110211428535677\naF0.1958043126973618\naF0.2875715093749334\naF0.0026931664153996113\naa(lp9\nF0.23842805618483234\naF0.15603441277463923\naF0.11264285663022724\naF0.2262714954657378\naF0.20692489705715011\naF0.05969828188741321\naa(lp10\nF0.03164670964027899\naF0.31684380433820397\naF0.2741378385889028\naF0.11196473220552693\naF0.06607080911817038\naF0.1993361061089169\naa(lp11\nF0.16056831069931213\naF0.15839125936084344\naF0.1491272649703556\naF0.1424198201704794\naF0.30624688706469005\naF0.08324645773431932\naa(lp12\nF0.26822134707914647\naF0.011460392564964055\naF0.06416793062777634\naF0.14039251803323988\naF0.3037049310472038\naF0.21205288064766945\naa(lp13\nF0.20706130318976318\naF0.1071116175577477\naF0.3062328866280631\naF0.1740019251990169\naF0.09970092984174167\naF0.10589133758366735\naasVdp\np14\nL4L\nsVid\np15\nccopy_reg\n_reconstructor\np16\n(cuuid\nUUID\np17\nc__builtin__\nobject\np18\nNtp19\nRp20\n(dp21\nVint\np22\nL145239516378497778712649111806775153386L\nsbsVd\np23\n(lp24\nL-2L\naL1L\naL0L\naL1L\naL-3L\naL-1L\naL0L\naL3L\naL-1L\naL1L\nasVrounds\np25\nL49950L\nsVscore\np26\nL-38L\nsVmove\np27\nVP\np28\nsVfitness\np29\nL-136160L\ns.'
            , 
            b'(dp0\nVpc\np1\nL10L\nsVdp\np2\nL7L\nsVp\np3\n(lp4\n(lp5\nF0.22875688393634808\naF0.15406657542239663\naF0.05291260802019634\naF0.17905137275604155\naF0.11113131970874375\naF0.27408124015627366\naa(lp6\nF0.024649739358508574\naF0.16301502578600932\naF0.29499292161995583\naF0.31176691742878204\naF0.16788645770107158\naF0.037688938105672434\naa(lp7\nF0.007362834459776361\naF0.21432402654524674\naF0.15195198629884074\naF0.20166429175119438\naF0.22033117635417362\naF0.20436568459076807\naa(lp8\nF0.10174888275496076\naF0.29432178648997365\naF0.26982678619782025\naF0.0170282509809243\naF0.2823588609969678\naF0.03471543257935339\naa(lp9\nF0.1049256806159501\naF0.14725528700542503\naF0.20044333795825722\naF0.17697530171850584\naF0.10111759285410844\naF0.26928279984775344\naa(lp10\nF0.14488038183024368\naF0.09459146992166147\naF0.24348689290299075\naF0.22946675367250396\naF0.11905881817862259\naF0.16851568349397758\naa(lp11\nF0.17064144817937762\naF0.2922067266659806\naF0.12993895332951325\naF0.23065145771299647\naF0.016999646334190256\naF0.15956176777794182\naa(lp12\nF0.13869874164346357\naF0.07959406836571101\naF0.22229339080853794\naF0.20858984532521646\naF0.16934376481311986\naF0.18148018904395116\naa(lp13\nF0.18197424730376693\naF0.06405011560346739\naF0.29788570030640454\naF0.05785866864090056\naF0.05222843504363028\naF0.34600283310183033\naa(lp14\nF0.2013616715244791\naF0.25136441261077264\naF0.006555872830203151\naF0.24672594840032352\naF0.21313719120511485\naF0.0808549034291068\naasVd\np15\n(lp16\nL0L\naL1L\naL1L\naL2L\naL2L\naL0L\naL1L\naL1L\naL-4L\naL1L\nasVrounds\np17\nL49950L\nsVscore\np18\nL-38L\nsVfitness\np19\nL-143251L\nsVmove\np20\nVR\np21\nsVid\np22\nccopy_reg\n_reconstructor\np23\n(cuuid\nUUID\np24\nc__builtin__\nobject\np25\nNtp26\nRp27\n(dp28\nVint\np29\nL78725300103735981782263754543973335162L\nsbs.'
            ]
            vms = list(map(lambda code: pickle.loads(code), vms))
        else:
            def make():
                pspace = [[random.random() for _ in range(nops)] for _ in range(naddr)]
                for cell in pspace:
                    s = sum(cell)
                    for i in range(nops):
                        cell[i] /= s
                return {
                        "p": pspace,
                        "pc": 0,
                        "dp": 0,
                        "score": 0,
                        "fitness": 0,
                        "rounds": 0,
                        "move": "S",
                        "id": uuid.uuid4(),
                }
            vms = [make() for _ in range(nvm)]
    
    for vm in vms:
        vm["score"] = 0
        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["fitness"] += vm["score"]
                vm["rounds"] += 1
            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()