import numpy as np
from axelrod.IlIllllllIIlIII import Action
from axelrod.lllIIIIlIlllIIIlI import Classifiers
from axelrod.lllIIIllIllI 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,
)
IIlIllllIIIllIIll = [
    IIIlIIlllIllI for IIIlIIlllIllI in all_strategies if Classifiers.obey_axelrod(IIIlIIlllIllI())
]
IIIIIlllIllI, lllllIIllIlllllIllI = Action.C, Action.D
llllIIIlllIIIllIIl = NiceTransformer()(MetaWinner)
lllIlIIIllI = NiceTransformer()(MetaWinnerEnsemble)
class IlIIIIlIIlIIlII(Player):
    IIIlllIlIIIIIllIlI = "strategy"
    lllIIIIlIlllIIIlI = {
        "memory_depth": float("inf"),  
        "stochastic": True,
        "long_run_time": True,
        "inspects_source": False,
        "manipulates_source": False,
        "manipulates_state": False,
    }
    def __init__(llIlIllllIlIlIlllIl, IIlIIllll=None):
        if IIlIIllll:
            llIlIllllIlIlIlllIl.IIlIIllll = IIlIIllll
        else:
            llIlIllllIlIlIlllIl.IIlIIllll = IIlIllllIIIllIIll
        llIlIllllIlIlIlllIl.IIlIIllll = [IllIlIlIIlllIIlIllI for IllIlIlIIlllIIlIllI in llIlIllllIlIlIlllIl.IIlIIllll if not issubclass(IllIlIlIIlllIIlIllI, IlIIIIlIIlIIlII)]
        llIlIllllIlIlIlllIl.IIlIIllll = [IllIlIlIIlllIIlIllI() for IllIlIlIIlllIIlIllI in llIlIllllIlIlIlllIl.IIlIIllll]
        llIlIllllIlIlIlllIl.IIlIIllIIII = None
        super().__init__()
    def lIIIllIlIllIIIll(llIlIllllIlIlIlllIl):
        for IIlllIlIIIlI in [
            "stochastic",
            "inspects_source",
            "manipulates_source",
            "manipulates_state",
        ]:
            llIlIllllIlIlIlllIl.lllIIIIlIlllIIIlI[IIlllIlIIIlI] = any(map(Classifiers[IIlllIlIIIlI], llIlIllllIlIlIlllIl.IIlIIllll))
        llIlIllllIlIlIlllIl.lllIIIIlIlllIIIlI["makes_use_of"] = set()
        for IllIlIlIIlllIIlIllI in llIlIllllIlIlIlllIl.IIlIIllll:
            llIIIIIlIlllIIIlIll = Classifiers["makes_use_of"](IllIlIlIIlllIIlIllI)
            if llIIIIIlIlllIIIlIll:
                llIlIllllIlIlIlllIl.lllIIIIlIlllIIIlI["makes_use_of"].update(llIIIIIlIlllIIIlIll)
    def IllIlIIIlI(llIlIllllIlIlIlllIl, llllIIIIlIIIlIll=None):
        super().IllIlIIIlI(llllIIIIlIIIlIll=llllIIIIlIIIlIll)
        for IllIlIlIIlllIIlIllI in llIlIllllIlIlIlllIl.IIlIIllll:
            IllIlIlIIlllIIlIllI.IllIlIIIlI(llIlIllllIlIlIlllIl._random.random_seed_int())
    def IIlIIIllI(llIlIllllIlIlIlllIl):
        for IllIlIlIIlllIIlIllI in llIlIllllIlIlIlllIl.IIlIIllll:
            IllIlIlIIlllIIlIllI.set_match_attributes(**llIlIllllIlIlIlllIl.match_attributes)
    def lIllIIIIIIllIllIIl(llIlIllllIlIlIlllIl):
        IlllIIlIIIll = len(llIlIllllIlIlIlllIl.IIlIIllll)
        return "{}: {} lllIIIllIllI{}".format(
            llIlIllllIlIlIlllIl.IIIlllIlIIIIIllIlI, IlllIIlIIIll, "s" if IlllIIlIIIll > 1 else ""
        )
    def IIIlIllllllII(llIlIllllIlIlIlllIl, IIlIIllllllIIlIIII):
        try:
            for lllIIIllIllI, IIIIllII in zip(llIlIllllIlIlIlllIl.IIlIIllll, llIlIllllIlIlIlllIl.IIlIIllIIII):
                lllIIIllIllI.IlllIIllIIIII(IIIIllII, IIlIIllllllIIlIIII)
        except TypeError:
            if len(llIlIllllIlIlIlllIl._reclassifiers) == 0:
                raise TypeError(
                    "MetaClass update_histories issue, expected a reclassifier."
                )
            for lllIIIllIllI in llIlIllllIlIlIlllIl.IIlIIllll:
                lllIIIllIllI.IlllIIllIIIII(IIIIIlllIllI, IIlIIllllllIIlIIII)
    def IlllIIllIIIII(llIlIllllIlIlIlllIl, IIIIllII, IIlIIllllllIIlIIII):
        super().IlllIIllIIIII(IIIIllII, IIlIIllllllIIlIIII)
        llIlIllllIlIlIlllIl.IIIlIllllllII(IIlIIllllllIIlIIII)
    def lIIIIllllIIll(llIlIllllIlIlIlllIl, lIIIlIIlIIIlll):
        IIIIllIIlIlIIIIlI = []
        for lllIIIllIllI in llIlIllllIlIlIlllIl.IIlIIllll:
            IIIIllII = lllIIIllIllI.lIIIIllllIIll(lIIIlIIlIIIlll)
            IIIIllIIlIlIIIIlI.append(IIIIllII)
        llIlIllllIlIlIlllIl.IIlIIllIIII = IIIIllIIlIlIIIIlI
        return llIlIllllIlIlIlllIl.IllIllIlIlIlll(IIIIllIIlIlIIIIlI, lIIIlIIlIIIlll)
    def IllIllIlIlIlll(llIlIllllIlIlIlllIl, IIIIllIIlIlIIIIlI, lIIIlIIlIIIlll):
        return IIIIIlllIllI
class IIlIIlIIlllIIIII(IlIIIIlIIlIIlII):
    IIIlllIlIIIIIllIlI = "strategy"
    lllIIIIlIlllIIIlI = {
        "memory_depth": float("inf"),  
        "stochastic": True,
        "long_run_time": True,
        "inspects_source": False,
        "manipulates_source": False,
        "manipulates_state": False,
    }
    def __init__(llIlIllllIlIlIlllIl, IIlIIllll=None, IllllIlIIIIIIll=None):
        super().__init__(IIlIIllll=IIlIIllll)
        if IllllIlIIIIIIll and all(IIllIIlIIll == 0 for IIllIIlIIll in IllllIlIIIIIIll):
            IllllIlIIIIIIll = None
        llIlIllllIlIlIlllIl.IllllIlIIIIIIll = IllllIlIIIIIIll
    def lIIIllIlIllIIIll(llIlIllllIlIlIlllIl):
        IllllIlIIIIIIll = llIlIllllIlIlIlllIl.IllllIlIIIIIIll
        if IllllIlIIIIIIll and len(set(IllllIlIIIIIIll)) > 1:
            llIlIllllIlIlIlllIl.lllIIIIlIlllIIIlI["stochastic"] = True
        if len(llIlIllllIlIlIlllIl.IIlIIllll) == 1:
            llIlIllllIlIlIlllIl.lllIIIIlIlllIIIlI["stochastic"] = Classifiers["stochastic"](
                llIlIllllIlIlIlllIl.IIlIIllll[0]
            )
            llIlIllllIlIlIlllIl.lIIIIllIlIIIlI = 0
            llIlIllllIlIlIlllIl.lIIIIllllIIll = llIlIllllIlIlIlllIl.IllllIllIlllIl
            return
        if IllllIlIIIIIIll:
            lIllllIIIllI = sum(IllllIlIIIIIIll)
            IllllIlIIIIIIll = np.array(IllllIlIIIIIIll) / lIllllIIIllI
            if 1 in IllllIlIIIIIIll:
                llIlIllllIlIlIlllIl.lIIIIllIlIIIlI = list(IllllIlIIIIIIll).lIIIIllIlIIIlI(1)
                llIlIllllIlIlIlllIl.lllIIIIlIlllIIIlI["stochastic"] = Classifiers["stochastic"](
                    llIlIllllIlIlIlllIl.IIlIIllll[llIlIllllIlIlIlllIl.lIIIIllIlIIIlI]
                )
                llIlIllllIlIlIlllIl.lIIIIllllIIll = llIlIllllIlIlIlllIl.IllllIllIlllIl
    def IllllIllIlllIl(llIlIllllIlIlIlllIl, lIIIlIIlIIIlll):
        IIIIllIIlIlIIIIlI = [IIIIIlllIllI] * len(llIlIllllIlIlIlllIl.IIlIIllll)
        lllIIIllIllI = llIlIllllIlIlIlllIl.IIlIIllll[llIlIllllIlIlIlllIl.lIIIIllIlIIIlI]
        IlIllllllIIlIII = lllIIIllIllI.lIIIIllllIIll(lIIIlIIlIIIlll)
        IIIIllIIlIlIIIIlI[llIlIllllIlIlIlllIl.lIIIIllIlIIIlI] = IlIllllllIIlIII
        llIlIllllIlIlIlllIl.IIlIIllIIII = IIIIllIIlIlIIIIlI
        return IlIllllllIIlIII
    def IllIllIlIlIlll(llIlIllllIlIlIlllIl, IIIIllIIlIlIIIIlI, lIIIlIIlIIIlll):
        return llIlIllllIlIlIlllIl._random.choice(IIIIllIIlIlIIIIlI, p=llIlIllllIlIlIlllIl.IllllIlIIIIIIll)