import numpy as np
from axelrod.action import Action
from axelrod.IIIIllIII import Classifiers
from axelrod.llIllllIlIllIIll 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,
)
IIIlllllIIIIIIlll = [
    IlIlIlIIlIIIIIlIl for IlIlIlIIlIIIIIlIl in all_strategies if Classifiers.obey_axelrod(IlIlIlIIlIIIIIlIl())
]
IIIIIlIlI, IlIllIllIIIlIIlIl = Action.C, Action.D
IlIIIIIlIll = NiceTransformer()(IIlIIIIllIlIIlIl)
IIIlIllllllIIl = NiceTransformer()(MetaWinnerEnsemble)
class IlIIIllllIllIllll(Player):
    IlIIllII = "strategy"
    IIIIllIII = {
        "memory_depth": float("inf"),  
        "stochastic": True,
        "long_run_time": True,
        "inspects_source": False,
        "manipulates_source": False,
        "manipulates_state": False,
    }
    def __init__(IlllllIIIIl, lIIlIIlIlIlI=None):
        if lIIlIIlIlIlI:
            IlllllIIIIl.lIIlIIlIlIlI = lIIlIIlIlIlI
        else:
            IlllllIIIIl.lIIlIIlIlIlI = IIIlllllIIIIIIlll
        IlllllIIIIl.lIIlIIlIlIlI = [lIlIllIllIIIllIllIl for lIlIllIllIIIllIllIl in IlllllIIIIl.lIIlIIlIlIlI if not issubclass(lIlIllIllIIIllIllIl, IlIIIllllIllIllll)]
        IlllllIIIIl.lIIlIIlIlIlI = [lIlIllIllIIIllIllIl() for lIlIllIllIIIllIllIl in IlllllIIIIl.lIIlIIlIlIlI]
        IlllllIIIIl.llllIlllIIlIIIlI = None
        super().__init__()
    def lIIIIlIIll(IlllllIIIIl):
        for lllIlIlIlIIl in [
            "stochastic",
            "inspects_source",
            "manipulates_source",
            "manipulates_state",
        ]:
            IlllllIIIIl.IIIIllIII[lllIlIlIlIIl] = any(map(Classifiers[lllIlIlIlIIl], IlllllIIIIl.lIIlIIlIlIlI))
        IlllllIIIIl.IIIIllIII["makes_use_of"] = set()
        for lIlIllIllIIIllIllIl in IlllllIIIIl.lIIlIIlIlIlI:
            IIllIllIII = Classifiers["makes_use_of"](lIlIllIllIIIllIllIl)
            if IIllIllIII:
                IlllllIIIIl.IIIIllIII["makes_use_of"].update(IIllIllIII)
    def IlllIlIlll(IlllllIIIIl, IIIIllllIIIll=None):
        super().IlllIlIlll(IIIIllllIIIll=IIIIllllIIIll)
        for lIlIllIllIIIllIllIl in IlllllIIIIl.lIIlIIlIlIlI:
            lIlIllIllIIIllIllIl.IlllIlIlll(IlllllIIIIl._random.random_seed_int())
    def IlIIllIllI(IlllllIIIIl):
        for lIlIllIllIIIllIllIl in IlllllIIIIl.lIIlIIlIlIlI:
            lIlIllIllIIIllIllIl.set_match_attributes(**IlllllIIIIl.match_attributes)
    def IlIlIIlllIllIlllI(IlllllIIIIl):
        llllllIIIII = len(IlllllIIIIl.lIIlIIlIlIlI)
        return "{}: {} IlllIIlIIIIlllIIer{}".format(
            IlllllIIIIl.IlIIllII, llllllIIIII, "s" if llllllIIIII > 1 else ""
        )
    def IIIllIIlIIllIIIlIlI(IlllllIIIIl, llIlIIlIllIllIlIlI):
        try:
            for llIllllIlIllIIll, IlllIIlIIIIlllII in zip(IlllllIIIIl.lIIlIIlIlIlI, IlllllIIIIl.llllIlllIIlIIIlI):
                llIllllIlIllIIll.llIIIIlIlllll(IlllIIlIIIIlllII, llIlIIlIllIllIlIlI)
        except TypeError:
            if len(IlllllIIIIl._reclassifiers) == 0:
                raise TypeError(
                    "MetaClass update_histories issue, expected a reclassifier."
                )
            for llIllllIlIllIIll in IlllllIIIIl.lIIlIIlIlIlI:
                llIllllIlIllIIll.llIIIIlIlllll(IIIIIlIlI, llIlIIlIllIllIlIlI)
    def llIIIIlIlllll(IlllllIIIIl, IlllIIlIIIIlllII, llIlIIlIllIllIlIlI):
        super().llIIIIlIlllll(IlllIIlIIIIlllII, llIlIIlIllIllIlIlI)
        IlllllIIIIl.IIIllIIlIIllIIIlIlI(llIlIIlIllIllIlIlI)
    def IlIIIllIlIl(IlllllIIIIl, IIlllllIll):
        IIIlllIIlIIlIIlIII = []
        for llIllllIlIllIIll in IlllllIIIIl.lIIlIIlIlIlI:
            IlllIIlIIIIlllII = llIllllIlIllIIll.IlIIIllIlIl(IIlllllIll)
            IIIlllIIlIIlIIlIII.append(IlllIIlIIIIlllII)
        IlllllIIIIl.llllIlllIIlIIIlI = IIIlllIIlIIlIIlIII
        return IlllllIIIIl.lIlIIIll(IIIlllIIlIIlIIlIII, IIlllllIll)
    def lIlIIIll(IlllllIIIIl, IIIlllIIlIIlIIlIII, IIlllllIll):
        return IIIIIlIlI
class IIlIIIIllIlIIlIl(IlIIIllllIllIllll):
    IlIIllII = "strategy"
    def __init__(IlllllIIIIl, lIIlIIlIlIlI=None):
        super().__init__(lIIlIIlIlIlI=lIIlIIlIlIlI)
        IlllllIIIIl.IlllllIIlIIIll = np.zeros(len(IlllllIIIIl.lIIlIIlIlIlI))
        IlllllIIIIl.IIIIllIII["long_run_time"] = True
    def lIlIIIIII(IlllllIIIIl, llIlIIlIllIllIlIlI):
        IIlIlllllllI = IlllllIIIIl.match_attributes["game"]
        IlllllIIlIIIll = []
        for llIllllIlIllIIll in IlllllIIIIl.lIIlIIlIlIlI:
            llIllIlIlIIIIlIIlIl = (llIllllIlIllIIll.history[-1], llIlIIlIllIllIlIlI)
            IlIlIlIIlIIIIIlIl = IIlIlllllllI.IlllllIIlIIIll[llIllIlIlIIIIlIIlIl][0]
            IlllllIIlIIIll.append(IlIlIlIIlIIIIIlIl)
        IlllllIIIIl.IlllllIIlIIIll += np.array(IlllllIIlIIIll)
    def IIIllIIlIIllIIIlIlI(IlllllIIIIl, llIlIIlIllIllIlIlI):
        super().IIIllIIlIIllIIIlIlI(llIlIIlIllIllIlIlI)
        IlllllIIIIl.lIlIIIIII(llIlIIlIllIllIlIlI)
    def lIlIIIll(IlllllIIIIl, IIIlllIIlIIlIIlIII, IIlllllIll):
        IlIlIIIIlllIlIlIllll = max(IlllllIIIIl.IlllllIIlIIIll)
        lIlIIlIIlllII = [
            lIlllIIIIllIllII for (lIlllIIIIllIllII, IIIlllIIIlIlIIIIllII) in enumerate(IlllllIIIIl.IlllllIIlIIIll) if IIIlllIIIlIlIIIIllII == IlIlIIIIlllIlIlIllll
        ]
        IIllllIlllIlIllllll = [IIIlllIIlIIlIIlIII[lIlllIIIIllIllII] for lIlllIIIIllIllII in lIlIIlIIlllII]
        lllIIIIlIlII = IIIIIlIlI if IIIIIlIlI in IIllllIlllIlIllllll else IlIllIllIIIlIIlIl
        return lllIIIIlIlII
class IlllIlllIIIlIIlIl(IIlIIIIllIlIIlIl):
    IlIIllII = "strategy"
    def __init__(IlllllIIIIl):
        lIIlIIlIlIlI = [
            IlIlIlIIlIIIIIlIl
            for IlIlIlIIlIIIIIlIl in IIIlllllIIIIIIlll
            if Classifiers["memory_depth"](IlIlIlIIlIIIIIlIl()) == float("inf")
        ]
        super().__init__(lIIlIIlIlIlI=lIIlIIlIlIlI)