import numpy as np
from axelrod.action import Action
from axelrod.lIlIlIllIIIIlllllI import Classifiers
from axelrod.IIIIIlllllIlIlI 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,
)
IIlIlIIIllIlIlllIl = [
    lIlIlIIIIlllIIIlIIII for lIlIlIIIIlllIIIlIIII in all_strategies if Classifiers.obey_axelrod(lIlIlIIIIlllIIIlIIII())
]
IlIIlIIlIIIIllllI, lIllIIllllI = Action.C, Action.D
IIIllllIIll = NiceTransformer()(lllIIllIIllllIlII)
IIlIlllIIlllllIlIl = NiceTransformer()(MetaWinnerEnsemble)
class IllIllIlllIlIllIII(Player):
    IIIlIlIIlI = "strategy"
    lIlIlIllIIIIlllllI = {
        "memory_depth": float("inf"),  
        "stochastic": True,
        "long_run_time": True,
        "inspects_source": False,
        "manipulates_source": False,
        "manipulates_state": False,
    }
    def __init__(IllIIIllII, IlIllllIlll=None):
        if IlIllllIlll:
            IllIIIllII.IlIllllIlll = IlIllllIlll
        else:
            IllIIIllII.IlIllllIlll = IIlIlIIIllIlIlllIl
        IllIIIllII.IlIllllIlll = [llIIlllIlIllIIIll for llIIlllIlIllIIIll in IllIIIllII.IlIllllIlll if not issubclass(llIIlllIlIllIIIll, IllIllIlllIlIllIII)]
        IllIIIllII.IlIllllIlll = [llIIlllIlIllIIIll() for llIIlllIlIllIIIll in IllIIIllII.IlIllllIlll]
        IllIIIllII.IIllIIlIlI = None
        super().__init__()
    def IlIlllIIIIIllIIl(IllIIIllII):
        for lIlIIIlIlI in [
            "stochastic",
            "inspects_source",
            "manipulates_source",
            "manipulates_state",
        ]:
            IllIIIllII.lIlIlIllIIIIlllllI[lIlIIIlIlI] = any(map(Classifiers[lIlIIIlIlI], IllIIIllII.IlIllllIlll))
        IllIIIllII.lIlIlIllIIIIlllllI["makes_use_of"] = set()
        for llIIlllIlIllIIIll in IllIIIllII.IlIllllIlll:
            lIlIlllIlllIllll = Classifiers["makes_use_of"](llIIlllIlIllIIIll)
            if lIlIlllIlllIllll:
                IllIIIllII.lIlIlIllIIIIlllllI["makes_use_of"].update(lIlIlllIlllIllll)
    def lIllIlIIII(IllIIIllII, IIllIIlIIIIIllIllI=None):
        super().lIllIlIIII(IIllIIlIIIIIllIllI=IIllIIlIIIIIllIllI)
        for llIIlllIlIllIIIll in IllIIIllII.IlIllllIlll:
            llIIlllIlIllIIIll.lIllIlIIII(IllIIIllII._random.random_seed_int())
    def IIIlIlllIll(IllIIIllII):
        for llIIlllIlIllIIIll in IllIIIllII.IlIllllIlll:
            llIIlllIlIllIIIll.set_match_attributes(**IllIIIllII.match_attributes)
    def IlllllllIlIIlllIllll(IllIIIllII):
        lIIlllIIllIlIIlllI = len(IllIIIllII.IlIllllIlll)
        return "{}: {} IlIlIIIler{}".format(
            IllIIIllII.IIIlIlIIlI, lIIlllIIllIlIIlllI, "s" if lIIlllIIllIlIIlllI > 1 else ""
        )
    def IIlllIIIlllll(IllIIIllII, lIIIIllIlIllIIIlllI):
        try:
            for IIIIIlllllIlIlI, IlIlIIIl in zip(IllIIIllII.IlIllllIlll, IllIIIllII.IIllIIlIlI):
                IIIIIlllllIlIlI.IIIllIlllI(IlIlIIIl, lIIIIllIlIllIIIlllI)
        except TypeError:
            if len(IllIIIllII._reclassifiers) == 0:
                raise TypeError(
                    "MetaClass update_histories issue, expected a reclassifier."
                )
            for IIIIIlllllIlIlI in IllIIIllII.IlIllllIlll:
                IIIIIlllllIlIlI.IIIllIlllI(IlIIlIIlIIIIllllI, lIIIIllIlIllIIIlllI)
    def IIIllIlllI(IllIIIllII, IlIlIIIl, lIIIIllIlIllIIIlllI):
        super().IIIllIlllI(IlIlIIIl, lIIIIllIlIllIIIlllI)
        IllIIIllII.IIlllIIIlllll(lIIIIllIlIllIIIlllI)
    def IlIllIlIIII(IllIIIllII, llIlIIIlllllllIlIl):
        llllIIIIIlIl = []
        for IIIIIlllllIlIlI in IllIIIllII.IlIllllIlll:
            IlIlIIIl = IIIIIlllllIlIlI.IlIllIlIIII(llIlIIIlllllllIlIl)
            llllIIIIIlIl.append(IlIlIIIl)
        IllIIIllII.IIllIIlIlI = llllIIIIIlIl
        return IllIIIllII.IIlIIllIlll(llllIIIIIlIl, llIlIIIlllllllIlIl)
    def IIlIIllIlll(IllIIIllII, llllIIIIIlIl, llIlIIIlllllllIlIl):
        return IlIIlIIlIIIIllllI
class lllIIllIIllllIlII(IllIllIlllIlIllIII):
    IIIlIlIIlI = "strategy"
    def __init__(IllIIIllII, IlIllllIlll=None):
        super().__init__(IlIllllIlll=IlIllllIlll)
        IllIIIllII.IIIlIIII = np.zeros(len(IllIIIllII.IlIllllIlll))
        IllIIIllII.lIlIlIllIIIIlllllI["long_run_time"] = True
    def lllIllII(IllIIIllII, lIIIIllIlIllIIIlllI):
        lllllIIIllIlIl = IllIIIllII.match_attributes["game"]
        IIIlIIII = []
        for IIIIIlllllIlIlI in IllIIIllII.IlIllllIlll:
            IIIIIlIIIlIl = (IIIIIlllllIlIlI.history[-1], lIIIIllIlIllIIIlllI)
            lIlIlIIIIlllIIIlIIII = lllllIIIllIlIl.IIIlIIII[IIIIIlIIIlIl][0]
            IIIlIIII.append(lIlIlIIIIlllIIIlIIII)
        IllIIIllII.IIIlIIII += np.array(IIIlIIII)
    def IIlllIIIlllll(IllIIIllII, lIIIIllIlIllIIIlllI):
        super().IIlllIIIlllll(lIIIIllIlIllIIIlllI)
        IllIIIllII.lllIllII(lIIIIllIlIllIIIlllI)
    def IIlIIllIlll(IllIIIllII, llllIIIIIlIl, llIlIIIlllllllIlIl):
        llllIllIII = max(IllIIIllII.IIIlIIII)
        IIIIIIllIIlIIl = [
            lIIIIIlI for (lIIIIIlI, IllIIIllIl) in enumerate(IllIIIllII.IIIlIIII) if IllIIIllIl == llllIllIII
        ]
        IlllllIIIIII = [llllIIIIIlIl[lIIIIIlI] for lIIIIIlI in IIIIIIllIIlIIl]
        IIllIIIllIIlIl = IlIIlIIlIIIIllllI if IlIIlIIlIIIIllllI in IlllllIIIIII else lIllIIllllI
        return IIllIIIllIIlIl
class IllIlIIlllII(lllIIllIIllllIlII):
    IIIlIlIIlI = "strategy"
    def __init__(IllIIIllII):
        IlIllllIlll = [
            lIlIlIIIIlllIIIlIIII
            for lIlIlIIIIlllIIIlIIII in IIlIlIIIllIlIlllIl
            if Classifiers["memory_depth"](lIlIlIIIIlllIIIlIIII()) < float("inf")
        ]
        super().__init__(IlIllllIlll=IlIllllIlll)