import numpy as np
from axelrod.action import Action
from axelrod.llIIlIIII import Classifiers
from axelrod.lIllIIlIlll 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,
)
IIIlIIIIIIllIll = [
    llIIIIlIIIIll for llIIIIlIIIIll in all_strategies if Classifiers.obey_axelrod(llIIIIlIIIIll())
]
IllIlIIlIIIlIII, IIIIIIIlIIlIIIIIIIl = Action.C, Action.D
IlIIIlllIIIIlIIlI = NiceTransformer()(IIlIllIllIIIlI)
lIlIIllIIIIIlllIll = NiceTransformer()(MetaWinnerEnsemble)
class lIllllIlIIlIll(Player):
    IIIlIIlIIII = "strategy"
    llIIlIIII = {
        "memory_depth": float("inf"),  
        "stochastic": True,
        "long_run_time": True,
        "inspects_source": False,
        "manipulates_source": False,
        "manipulates_state": False,
    }
    def __init__(IllIIlllIlIl, IlIlIlIlIl=None):
        if IlIlIlIlIl:
            IllIIlllIlIl.IlIlIlIlIl = IlIlIlIlIl
        else:
            IllIIlllIlIl.IlIlIlIlIl = IIIlIIIIIIllIll
        IllIIlllIlIl.IlIlIlIlIl = [IlIllIIIIll for IlIllIIIIll in IllIIlllIlIl.IlIlIlIlIl if not issubclass(IlIllIIIIll, lIllllIlIIlIll)]
        IllIIlllIlIl.IlIlIlIlIl = [IlIllIIIIll() for IlIllIIIIll in IllIIlllIlIl.IlIlIlIlIl]
        IllIIlllIlIl.IIIIlllIlII = None
        super().__init__()
    def IIlIIlllIIIl(IllIIlllIlIl):
        for IIIIlIIIIllllI in [
            "stochastic",
            "inspects_source",
            "manipulates_source",
            "manipulates_state",
        ]:
            IllIIlllIlIl.llIIlIIII[IIIIlIIIIllllI] = any(map(Classifiers[IIIIlIIIIllllI], IllIIlllIlIl.IlIlIlIlIl))
        IllIIlllIlIl.llIIlIIII["makes_use_of"] = set()
        for IlIllIIIIll in IllIIlllIlIl.IlIlIlIlIl:
            lIlIlIIllI = Classifiers["makes_use_of"](IlIllIIIIll)
            if lIlIlIIllI:
                IllIIlllIlIl.llIIlIIII["makes_use_of"].update(lIlIlIIllI)
    def lIllIIllllI(IllIIlllIlIl, IIIlIIlIlIllIl=None):
        super().lIllIIllllI(IIIlIIlIlIllIl=IIIlIIlIlIllIl)
        for IlIllIIIIll in IllIIlllIlIl.IlIlIlIlIl:
            IlIllIIIIll.lIllIIllllI(IllIIlllIlIl._random.random_seed_int())
    def IlIlIIIlIIlIl(IllIIlllIlIl):
        for IlIllIIIIll in IllIIlllIlIl.IlIlIlIlIl:
            IlIllIIIIll.set_match_attributes(**IllIIlllIlIl.match_attributes)
    def llIllllI(IllIIlllIlIl):
        IIIIlIllIlIIll = len(IllIIlllIlIl.IlIlIlIlIl)
        return "{}: {} lIllIIlIlll{}".format(
            IllIIlllIlIl.IIIlIIlIIII, IIIIlIllIlIIll, "s" if IIIIlIllIlIIll > 1 else ""
        )
    def IIIIIllIIllIlll(IllIIlllIlIl, IlIIIIIlllI):
        try:
            for lIllIIlIlll, llllIlllIl in zip(IllIIlllIlIl.IlIlIlIlIl, IllIIlllIlIl.IIIIlllIlII):
                lIllIIlIlll.IllIllIl(llllIlllIl, IlIIIIIlllI)
        except TypeError:
            if len(IllIIlllIlIl._reclassifiers) == 0:
                raise TypeError(
                    "MetaClass update_histories issue, expected a reclassifier."
                )
            for lIllIIlIlll in IllIIlllIlIl.IlIlIlIlIl:
                lIllIIlIlll.IllIllIl(IllIlIIlIIIlIII, IlIIIIIlllI)
    def IllIllIl(IllIIlllIlIl, llllIlllIl, IlIIIIIlllI):
        super().IllIllIl(llllIlllIl, IlIIIIIlllI)
        IllIIlllIlIl.IIIIIllIIllIlll(IlIIIIIlllI)
    def IlllllIIIIllIIl(IllIIlllIlIl, llIllIIIlIlI):
        lllIIllllIIII = []
        for lIllIIlIlll in IllIIlllIlIl.IlIlIlIlIl:
            llllIlllIl = lIllIIlIlll.IlllllIIIIllIIl(llIllIIIlIlI)
            lllIIllllIIII.append(llllIlllIl)
        IllIIlllIlIl.IIIIlllIlII = lllIIllllIIII
        return IllIIlllIlIl.IllllIlllI(lllIIllllIIII, llIllIIIlIlI)
    def IllllIlllI(IllIIlllIlIl, lllIIllllIIII, llIllIIIlIlI):
        return IllIlIIlIIIlIII
class IIlIllIllIIIlI(lIllllIlIIlIll):
    IIIlIIlIIII = "strategy"
    def __init__(IllIIlllIlIl, IlIlIlIlIl=None):
        super().__init__(IlIlIlIlIl=IlIlIlIlIl)
        IllIIlllIlIl.IIIlIlIIlllIIIIlIlI = np.zeros(len(IllIIlllIlIl.IlIlIlIlIl))
        IllIIlllIlIl.llIIlIIII["long_run_time"] = True
    def IllllIIIlIlIIIllllIl(IllIIlllIlIl, IlIIIIIlllI):
        IlIllIIllIIllIll = IllIIlllIlIl.match_attributes["game"]
        IIIlIlIIlllIIIIlIlI = []
        for lIllIIlIlll in IllIIlllIlIl.IlIlIlIlIl:
            IIlIIllIlIIII = (lIllIIlIlll.history[-1], IlIIIIIlllI)
            llIIIIlIIIIll = IlIllIIllIIllIll.IIIlIlIIlllIIIIlIlI[IIlIIllIlIIII][0]
            IIIlIlIIlllIIIIlIlI.append(llIIIIlIIIIll)
        IllIIlllIlIl.IIIlIlIIlllIIIIlIlI += np.array(IIIlIlIIlllIIIIlIlI)
    def IIIIIllIIllIlll(IllIIlllIlIl, IlIIIIIlllI):
        super().IIIIIllIIllIlll(IlIIIIIlllI)
        IllIIlllIlIl.IllllIIIlIlIIIllllIl(IlIIIIIlllI)
    def IllllIlllI(IllIIlllIlIl, lllIIllllIIII, llIllIIIlIlI):
        lllIIIIIIlI = max(IllIIlllIlIl.IIIlIlIIlllIIIIlIlI)
        IIIIIIlIIIlIlIll = [
            IIIIllIlIlIllIl for (IIIIllIlIlIllIl, lllIIlIIllI) in enumerate(IllIIlllIlIl.IIIlIlIIlllIIIIlIlI) if lllIIlIIllI == lllIIIIIIlI
        ]
        lIIlIIIlIllIll = [lllIIllllIIII[IIIIllIlIlIllIl] for IIIIllIlIlIllIl in IIIIIIlIIIlIlIll]
        lIlIllIllIIIlllIll = IllIlIIlIIIlIII if IllIlIIlIIIlIII in lIIlIIIlIllIll else IIIIIIIlIIlIIIIIIIl
        return lIlIllIllIIIlllIll
class IIllIIIlllIIIll(IIlIllIllIIIlI):
    IIIlIIlIIII = "strategy"
    def __init__(IllIIlllIlIl):
        IlIlIlIlIl = [
            llIIIIlIIIIll
            for llIIIIlIIIIll in IIIlIIIIIIllIll
            if Classifiers["memory_depth"](llIIIIlIIIIll()) <= 1
        ]
        super().__init__(IlIlIlIlIl=IlIlIlIlIl)
        IllIIlllIlIl.llIIlIIII["long_run_time"] = False