import numpy as np
from axelrod.action import Action
from axelrod.lIlIIIIll import Classifiers
from axelrod.lIlIIIlIIlIllllI 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,
)
IlllIlIII = [
    llIIIlllIlIl for llIIIlllIlIl in all_strategies if Classifiers.obey_axelrod(llIIIlllIlIl())
]
lIllIlIIIIII, lllIIlIl = Action.C, Action.D
llIllllIl = NiceTransformer()(MetaWinner)
lIIlllllllII = NiceTransformer()(MetaWinnerEnsemble)
class lllIlllIllIIlIll(Player):
    IIllIIIIIIIIIl = "strategy"
    lIlIIIIll = {
        "memory_depth": float("inf"),  
        "stochastic": True,
        "long_run_time": True,
        "inspects_source": False,
        "manipulates_source": False,
        "manipulates_state": False,
    }
    def __init__(IlIIlIlIIIllIIl, lllllllIllIllI=None):
        if lllllllIllIllI:
            IlIIlIlIIIllIIl.lllllllIllIllI = lllllllIllIllI
        else:
            IlIIlIlIIIllIIl.lllllllIllIllI = IlllIlIII
        IlIIlIlIIIllIIl.lllllllIllIllI = [IIlllIIIIII for IIlllIIIIII in IlIIlIlIIIllIIl.lllllllIllIllI if not issubclass(IIlllIIIIII, lllIlllIllIIlIll)]
        IlIIlIlIIIllIIl.lllllllIllIllI = [IIlllIIIIII() for IIlllIIIIII in IlIIlIlIIIllIIl.lllllllIllIllI]
        IlIIlIlIIIllIIl.llllIIIIIl = None
        super().__init__()
    def lIIIIIIllIlIlIlIl(IlIIlIlIIIllIIl):
        for IIIlllIlllIII in [
            "stochastic",
            "inspects_source",
            "manipulates_source",
            "manipulates_state",
        ]:
            IlIIlIlIIIllIIl.lIlIIIIll[IIIlllIlllIII] = any(map(Classifiers[IIIlllIlllIII], IlIIlIlIIIllIIl.lllllllIllIllI))
        IlIIlIlIIIllIIl.lIlIIIIll["makes_use_of"] = set()
        for IIlllIIIIII in IlIIlIlIIIllIIl.lllllllIllIllI:
            IlIIIlIlIlI = Classifiers["makes_use_of"](IIlllIIIIII)
            if IlIIIlIlIlI:
                IlIIlIlIIIllIIl.lIlIIIIll["makes_use_of"].update(IlIIIlIlIlI)
    def IlllIlIlIlllIllllll(IlIIlIlIIIllIIl, IlIIlIIlIlIlIllllI=None):
        super().IlllIlIlIlllIllllll(IlIIlIIlIlIlIllllI=IlIIlIIlIlIlIllllI)
        for IIlllIIIIII in IlIIlIlIIIllIIl.lllllllIllIllI:
            IIlllIIIIII.IlllIlIlIlllIllllll(IlIIlIlIIIllIIl._random.random_seed_int())
    def IIlIIIlIIllIlII(IlIIlIlIIIllIIl):
        for IIlllIIIIII in IlIIlIlIIIllIIl.lllllllIllIllI:
            IIlllIIIIII.set_match_attributes(**IlIIlIlIIIllIIl.match_attributes)
    def IIlIlIIlIlIlllIIIIl(IlIIlIlIIIllIIl):
        lIlllllIIIIlIIlllIl = len(IlIIlIlIIIllIIl.lllllllIllIllI)
        return "{}: {} lIlIIIlIIlIllllI{}".format(
            IlIIlIlIIIllIIl.IIllIIIIIIIIIl, lIlllllIIIIlIIlllIl, "s" if lIlllllIIIIlIIlllIl > 1 else ""
        )
    def lIlllIllIIlIlIll(IlIIlIlIIIllIIl, lIIlIIIllIIIlII):
        try:
            for lIlIIIlIIlIllllI, llllIlIllI in zip(IlIIlIlIIIllIIl.lllllllIllIllI, IlIIlIlIIIllIIl.llllIIIIIl):
                lIlIIIlIIlIllllI.IIIIIllIIII(llllIlIllI, lIIlIIIllIIIlII)
        except TypeError:
            if len(IlIIlIlIIIllIIl._reclassifiers) == 0:
                raise TypeError(
                    "MetaClass update_histories issue, expected a reclassifier."
                )
            for lIlIIIlIIlIllllI in IlIIlIlIIIllIIl.lllllllIllIllI:
                lIlIIIlIIlIllllI.IIIIIllIIII(lIllIlIIIIII, lIIlIIIllIIIlII)
    def IIIIIllIIII(IlIIlIlIIIllIIl, llllIlIllI, lIIlIIIllIIIlII):
        super().IIIIIllIIII(llllIlIllI, lIIlIIIllIIIlII)
        IlIIlIlIIIllIIl.lIlllIllIIlIlIll(lIIlIIIllIIIlII)
    def lIIIlllIIllIIl(IlIIlIlIIIllIIl, lIlIllIIIllllII):
        lIlIlIll = []
        for lIlIIIlIIlIllllI in IlIIlIlIIIllIIl.lllllllIllIllI:
            llllIlIllI = lIlIIIlIIlIllllI.lIIIlllIIllIIl(lIlIllIIIllllII)
            lIlIlIll.append(llllIlIllI)
        IlIIlIlIIIllIIl.llllIIIIIl = lIlIlIll
        return IlIIlIlIIIllIIl.lllllIIlIIIllllllIII(lIlIlIll, lIlIllIIIllllII)
    def lllllIIlIIIllllllIII(IlIIlIlIIIllIIl, lIlIlIll, lIlIllIIIllllII):
        return lIllIlIIIIII
class IIIIllIIlIll(lllIlllIllIIlIll):
    IIllIIIIIIIIIl = "strategy"
    @staticmethod
    def lllllIIlIIIllllllIII(lIlIlIll, lIlIllIIIllllII):
        if lIlIlIll.count(lllIIlIl) > lIlIlIll.count(lIllIlIIIIII):
            return lllIIlIl
        return lIllIlIIIIII
class llllIIlIIIlI(IIIIllIIlIll):
    IIllIIIIIIIIIl = "strategy"
    def __init__(IlIIlIlIIIllIIl):
        lllllllIllIllI = [
            llIIIlllIlIl
            for llIIIlllIlIl in IlllIlIII
            if Classifiers["memory_depth"](llIIIlllIlIl()) < float("inf")
        ]
        super().__init__(lllllllIllIllI=lllllllIllIllI)