import numpy as np
from axelrod.action import Action
from axelrod.lIIllllII import Classifiers
from axelrod.IIIIlIlIlIlIIIIllI 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,
)
IlIllIIlIIl = [
    llIIIIIIIlllII for llIIIIIIIlllII in all_strategies if Classifiers.obey_axelrod(llIIIIIIIlllII())
]
lIIIIlIllIlllIllIl, IIIlllIIllllllIII = Action.C, Action.D
lllIIlllIIIlII = NiceTransformer()(MetaWinner)
llIllIIIlll = NiceTransformer()(MetaWinnerEnsemble)
class lIlIlllllI(Player):
    IlllIIllIlIIIllll = "strategy"
    lIIllllII = {
        "memory_depth": float("inf"),  
        "stochastic": True,
        "long_run_time": True,
        "inspects_source": False,
        "manipulates_source": False,
        "manipulates_state": False,
    }
    def __init__(IIllIlIlIllllll, IllIllIIll=None):
        if IllIllIIll:
            IIllIlIlIllllll.IllIllIIll = IllIllIIll
        else:
            IIllIlIlIllllll.IllIllIIll = IlIllIIlIIl
        IIllIlIlIllllll.IllIllIIll = [lIlllllIIlllIl for lIlllllIIlllIl in IIllIlIlIllllll.IllIllIIll if not issubclass(lIlllllIIlllIl, lIlIlllllI)]
        IIllIlIlIllllll.IllIllIIll = [lIlllllIIlllIl() for lIlllllIIlllIl in IIllIlIlIllllll.IllIllIIll]
        IIllIlIlIllllll.lIIIIIIlII = None
        super().__init__()
    def llIlllll(IIllIlIlIllllll):
        for IllIllIIIIlI in [
            "stochastic",
            "inspects_source",
            "manipulates_source",
            "manipulates_state",
        ]:
            IIllIlIlIllllll.lIIllllII[IllIllIIIIlI] = any(map(Classifiers[IllIllIIIIlI], IIllIlIlIllllll.IllIllIIll))
        IIllIlIlIllllll.lIIllllII["makes_use_of"] = set()
        for lIlllllIIlllIl in IIllIlIlIllllll.IllIllIIll:
            lIIIlIlIlllIlIllI = Classifiers["makes_use_of"](lIlllllIIlllIl)
            if lIIIlIlIlllIlIllI:
                IIllIlIlIllllll.lIIllllII["makes_use_of"].update(lIIIlIlIlllIlIllI)
    def lIIIlIIlIlI(IIllIlIlIllllll, IIIIIllllIIIlI=None):
        super().lIIIlIIlIlI(IIIIIllllIIIlI=IIIIIllllIIIlI)
        for lIlllllIIlllIl in IIllIlIlIllllll.IllIllIIll:
            lIlllllIIlllIl.lIIIlIIlIlI(IIllIlIlIllllll._random.random_seed_int())
    def IIIllIIlIllIIllI(IIllIlIlIllllll):
        for lIlllllIIlllIl in IIllIlIlIllllll.IllIllIIll:
            lIlllllIIlllIl.set_match_attributes(**IIllIlIlIllllll.match_attributes)
    def IIlIlIllIlllIllI(IIllIlIlIllllll):
        lIlIIIlIlllI = len(IIllIlIlIllllll.IllIllIIll)
        return "{}: {} IIIIlIlIlIlIIIIllI{}".format(
            IIllIlIlIllllll.IlllIIllIlIIIllll, lIlIIIlIlllI, "s" if lIlIIIlIlllI > 1 else ""
        )
    def lIlIIIlIIlI(IIllIlIlIllllll, IlIlllIlIIl):
        try:
            for IIIIlIlIlIlIIIIllI, lIIIlIlIlIllIl in zip(IIllIlIlIllllll.IllIllIIll, IIllIlIlIllllll.lIIIIIIlII):
                IIIIlIlIlIlIIIIllI.IlllIIllIII(lIIIlIlIlIllIl, IlIlllIlIIl)
        except TypeError:
            if len(IIllIlIlIllllll._reclassifiers) == 0:
                raise TypeError(
                    "MetaClass update_histories issue, expected a reclassifier."
                )
            for IIIIlIlIlIlIIIIllI in IIllIlIlIllllll.IllIllIIll:
                IIIIlIlIlIlIIIIllI.IlllIIllIII(lIIIIlIllIlllIllIl, IlIlllIlIIl)
    def IlllIIllIII(IIllIlIlIllllll, lIIIlIlIlIllIl, IlIlllIlIIl):
        super().IlllIIllIII(lIIIlIlIlIllIl, IlIlllIlIIl)
        IIllIlIlIllllll.lIlIIIlIIlI(IlIlllIlIIl)
    def llIIIIIllIllllIl(IIllIlIlIllllll, IIllIIIIIIIllll):
        IlIllIIIlIlIIIllIlI = []
        for IIIIlIlIlIlIIIIllI in IIllIlIlIllllll.IllIllIIll:
            lIIIlIlIlIllIl = IIIIlIlIlIlIIIIllI.llIIIIIllIllllIl(IIllIIIIIIIllll)
            IlIllIIIlIlIIIllIlI.append(lIIIlIlIlIllIl)
        IIllIlIlIllllll.lIIIIIIlII = IlIllIIIlIlIIIllIlI
        return IIllIlIlIllllll.lIlllllIlIllI(IlIllIIIlIlIIIllIlI, IIllIIIIIIIllll)
    def lIlllllIlIllI(IIllIlIlIllllll, IlIllIIIlIlIIIllIlI, IIllIIIIIIIllll):
        return lIIIIlIllIlllIllIl
class lIllIlIIIl(lIlIlllllI):
    IlllIIllIlIIIllll = "strategy"
    @staticmethod
    def lIlllllIlIllI(IlIllIIIlIlIIIllIlI, IIllIIIIIIIllll):
        if IlIllIIIlIlIIIllIlI.count(IIIlllIIllllllIII) > IlIllIIIlIlIIIllIlI.count(lIIIIlIllIlllIllIl):
            return IIIlllIIllllllIII
        return lIIIIlIllIlllIllIl
class IlIIlllll(lIllIlIIIl):
    IlllIIllIlIIIllll = "strategy"
    def __init__(IIllIlIlIllllll):
        IllIllIIll = [
            llIIIIIIIlllII
            for llIIIIIIIlllII in IlIllIIlIIl
            if Classifiers["memory_depth"](llIIIIIIIlllII()) == float("inf")
        ]
        super().__init__(IllIllIIll=IllIllIIll)