import numpy as np
from axelrod.action import Action
from axelrod.IIIIlIII import Classifiers
from axelrod.IllIIIIIllIIII import Player
from axelrod.strategies import TitForTat
from axelrod.strategy_transformers import NiceTransformer
from ._strategies import all_strategies
from .hunter import (
    AlternatorHunter,
    CooperatorHunter,
    CycleHunter,
    DefectorHunter,
    EventualCycleHunter,
    MathConstantHunter,
    RandomHunter,
)
IllIIlIIIIlIIlIIIIll = [
    IIIIlIlIIlIIllIlI for IIIIlIlIIlIIllIlI in all_strategies if Classifiers.obey_axelrod(IIIIlIlIIlIIllIlI())
]
IllIlllIIlIIIIIIll, IIIIllllI = Action.C, Action.D
IIllIIIllIIIIl = NiceTransformer()(IlllIllIII)
lIlIIIlIIlIlI = NiceTransformer()(MetaWinnerEnsemble)
class IIIIIIllIlI(Player):
    IllIIlllIlIIIIlIl = "strategy"
    IIIIlIII = {
        "memory_depth": float("inf"),  
        "stochastic": True,
        "long_run_time": True,
        "inspects_source": False,
        "manipulates_source": False,
        "manipulates_state": False,
    }
    def __init__(lllllIIII, llllIlIlI=None):
        if llllIlIlI:
            lllllIIII.llllIlIlI = llllIlIlI
        else:
            lllllIIII.llllIlIlI = IllIIlIIIIlIIlIIIIll
        lllllIIII.llllIlIlI = [IllllIIlIII for IllllIIlIII in lllllIIII.llllIlIlI if not issubclass(IllllIIlIII, IIIIIIllIlI)]
        lllllIIII.llllIlIlI = [IllllIIlIII() for IllllIIlIII in lllllIIII.llllIlIlI]
        lllllIIII.llIIlIlIlII = None
        super().__init__()
    def lIIlIIllllIlllIIll(lllllIIII):
        for IIIllIIllIlIIIllll in [
            "stochastic",
            "inspects_source",
            "manipulates_source",
            "manipulates_state",
        ]:
            lllllIIII.IIIIlIII[IIIllIIllIlIIIllll] = any(map(Classifiers[IIIllIIllIlIIIllll], lllllIIII.llllIlIlI))
        lllllIIII.IIIIlIII["makes_use_of"] = set()
        for IllllIIlIII in lllllIIII.llllIlIlI:
            llIlIIlll = Classifiers["makes_use_of"](IllllIIlIII)
            if llIlIIlll:
                lllllIIII.IIIIlIII["makes_use_of"].update(llIlIIlll)
    def lIllllIllllIIIIllIlI(lllllIIII, lIllIlIlllllIll=None):
        super().lIllllIllllIIIIllIlI(lIllIlIlllllIll=lIllIlIlllllIll)
        for IllllIIlIII in lllllIIII.llllIlIlI:
            IllllIIlIII.lIllllIllllIIIIllIlI(lllllIIII._random.random_seed_int())
    def IIlllIIlllIIIII(lllllIIII):
        for IllllIIlIII in lllllIIII.llllIlIlI:
            IllllIIlIII.set_match_attributes(**lllllIIII.match_attributes)
    def IllIllIIIlIIllIlllI(lllllIIII):
        llIIlllIlIlllI = len(lllllIIII.llllIlIlI)
        return "{}: {} lIllIlIIlIIllIIller{}".format(
            lllllIIII.IllIIlllIlIIIIlIl, llIIlllIlIlllI, "s" if llIIlllIlIlllI > 1 else ""
        )
    def IlIIlIllIIllIllIIllI(lllllIIII, lIlIIlllllll):
        try:
            for IllIIIIIllIIII, lIllIlIIlIIllIIll in zip(lllllIIII.llllIlIlI, lllllIIII.llIIlIlIlII):
                IllIIIIIllIIII.llIIIllIIIllI(lIllIlIIlIIllIIll, lIlIIlllllll)
        except TypeError:
            if len(lllllIIII._reclassifiers) == 0:
                raise TypeError(
                    "MetaClass update_histories issue, expected a reclassifier."
                )
            for IllIIIIIllIIII in lllllIIII.llllIlIlI:
                IllIIIIIllIIII.llIIIllIIIllI(IllIlllIIlIIIIIIll, lIlIIlllllll)
    def llIIIllIIIllI(lllllIIII, lIllIlIIlIIllIIll, lIlIIlllllll):
        super().llIIIllIIIllI(lIllIlIIlIIllIIll, lIlIIlllllll)
        lllllIIII.IlIIlIllIIllIllIIllI(lIlIIlllllll)
    def llIllllIlll(lllllIIII, IllIIIlIIlIIllII):
        IllIlllIlIlIlII = []
        for IllIIIIIllIIII in lllllIIII.llllIlIlI:
            lIllIlIIlIIllIIll = IllIIIIIllIIII.llIllllIlll(IllIIIlIIlIIllII)
            IllIlllIlIlIlII.append(lIllIlIIlIIllIIll)
        lllllIIII.llIIlIlIlII = IllIlllIlIlIlII
        return lllllIIII.IllIIlIllIlI(IllIlllIlIlIlII, IllIIIlIIlIIllII)
    def IllIIlIllIlI(lllllIIII, IllIlllIlIlIlII, IllIIIlIIlIIllII):
        return IllIlllIIlIIIIIIll
class IlllIllIII(IIIIIIllIlI):
    IllIIlllIlIIIIlIl = "strategy"
    def __init__(lllllIIII, llllIlIlI=None):
        super().__init__(llllIlIlI=llllIlIlI)
        lllllIIII.IllIIIlIIIllIIlIlI = np.zeros(len(lllllIIII.llllIlIlI))
        lllllIIII.IIIIlIII["long_run_time"] = True
    def llllIIIIllIllllI(lllllIIII, lIlIIlllllll):
        lIlIlIIIllIllIlIlII = lllllIIII.match_attributes["game"]
        IllIIIlIIIllIIlIlI = []
        for IllIIIIIllIIII in lllllIIII.llllIlIlI:
            IIIIIIIlIIl = (IllIIIIIllIIII.history[-1], lIlIIlllllll)
            IIIIlIlIIlIIllIlI = lIlIlIIIllIllIlIlII.IllIIIlIIIllIIlIlI[IIIIIIIlIIl][0]
            IllIIIlIIIllIIlIlI.append(IIIIlIlIIlIIllIlI)
        lllllIIII.IllIIIlIIIllIIlIlI += np.array(IllIIIlIIIllIIlIlI)
    def IlIIlIllIIllIllIIllI(lllllIIII, lIlIIlllllll):
        super().IlIIlIllIIllIllIIllI(lIlIIlllllll)
        lllllIIII.llllIIIIllIllllI(lIlIIlllllll)
    def IllIIlIllIlI(lllllIIII, IllIlllIlIlIlII, IllIIIlIIlIIllII):
        IIIIIIlIlIll = max(lllllIIII.IllIIIlIIIllIIlIlI)
        IIIlIIIlllll = [
            llIllIIlIIIllIIIIl for (llIllIIlIIIllIIIIl, IlIllIllIIIIlIlIlIlI) in enumerate(lllllIIII.IllIIIlIIIllIIlIlI) if IlIllIllIIIIlIlIlIlI == IIIIIIlIlIll
        ]
        IIlIlIlIl = [IllIlllIlIlIlII[llIllIIlIIIllIIIIl] for llIllIIlIIIllIIIIl in IIIlIIIlllll]
        llllIIIll = IllIlllIIlIIIIIIll if IllIlllIIlIIIIIIll in IIlIlIlIl else IIIIllllI
        return llllIIIll
class IIIlllllllllIlIll(IlllIllIII):
    IllIIlllIlIIIIlIl = "strategy"
    def __init__(lllllIIII):
        llllIlIlI = [
            IIIIlIlIIlIIllIlI for IIIIlIlIIlIIllIlI in IllIIlIIIIlIIlIIIIll if Classifiers["stochastic"](IIIIlIlIIlIIllIlI())
        ]
        super().__init__(llllIlIlI=llllIlIlI)