from genericbreeder import GenericBreeder as GBreeder
from genericentity import GenericEntity as GEntity
from blob import Blob
from misc import Misc as mi
import random as ran

class BlobBreeder(GBreeder):

    def __init__(self,nlifesize,nparentsize,nlowestscore):
        self.Reset(nlifesize,nparentsize,nlowestscore)

    def CopulateSub(self,nextadn,mom,dad):
        for index in range(0,len(nextadn)):
            if(ran.getrandbits(1)==0):
                nextent = mom
            else:
                nextent = dad
            nextadn[index]=nextent.adn[index]
    
    @staticmethod
    def CreateLife():
        return Blob([int((ran.random() * 1000) + 32) for i in range(0,Blob.adnsize)],100)

    def IsMaximal(self):
        return (self.life[0].GetScore()==0)
    
    def PrintInfo(self,best):
        print(" adn; '",best.GetGoal(),"'",end="")

    def Struggle(self):
        pass

    def MakeNewborn(self,nadn,mutsmo):
        return Blob(nadn,mutsmo)
cfd49419a8f49c7f1aee64aeba8756789b4b18a2
<mask token>


class BlobBreeder(GBreeder):
    <mask token>

    def CopulateSub(self, nextadn, mom, dad):
        for index in range(0, len(nextadn)):
            if ran.getrandbits(1) == 0:
                nextent = mom
            else:
                nextent = dad
            nextadn[index] = nextent.adn[index]

    @staticmethod
    def CreateLife():
        return Blob([int(ran.random() * 1000 + 32) for i in range(0, Blob.
            adnsize)], 100)
    <mask token>

    def PrintInfo(self, best):
        print(" adn; '", best.GetGoal(), "'", end='')
    <mask token>
    <mask token>

<mask token>


class BlobBreeder(GBreeder):
    <mask token>

    def CopulateSub(self, nextadn, mom, dad):
        for index in range(0, len(nextadn)):
            if ran.getrandbits(1) == 0:
                nextent = mom
            else:
                nextent = dad
            nextadn[index] = nextent.adn[index]

    @staticmethod
    def CreateLife():
        return Blob([int(ran.random() * 1000 + 32) for i in range(0, Blob.
            adnsize)], 100)

    def IsMaximal(self):
        return self.life[0].GetScore() == 0

    def PrintInfo(self, best):
        print(" adn; '", best.GetGoal(), "'", end='')
    <mask token>
    <mask token>

<mask token>


class BlobBreeder(GBreeder):

    def __init__(self, nlifesize, nparentsize, nlowestscore):
        self.Reset(nlifesize, nparentsize, nlowestscore)

    def CopulateSub(self, nextadn, mom, dad):
        for index in range(0, len(nextadn)):
            if ran.getrandbits(1) == 0:
                nextent = mom
            else:
                nextent = dad
            nextadn[index] = nextent.adn[index]

    @staticmethod
    def CreateLife():
        return Blob([int(ran.random() * 1000 + 32) for i in range(0, Blob.
            adnsize)], 100)

    def IsMaximal(self):
        return self.life[0].GetScore() == 0

    def PrintInfo(self, best):
        print(" adn; '", best.GetGoal(), "'", end='')
    <mask token>

    def MakeNewborn(self, nadn, mutsmo):
        return Blob(nadn, mutsmo)

<mask token>


class BlobBreeder(GBreeder):

    def __init__(self, nlifesize, nparentsize, nlowestscore):
        self.Reset(nlifesize, nparentsize, nlowestscore)

    def CopulateSub(self, nextadn, mom, dad):
        for index in range(0, len(nextadn)):
            if ran.getrandbits(1) == 0:
                nextent = mom
            else:
                nextent = dad
            nextadn[index] = nextent.adn[index]

    @staticmethod
    def CreateLife():
        return Blob([int(ran.random() * 1000 + 32) for i in range(0, Blob.
            adnsize)], 100)

    def IsMaximal(self):
        return self.life[0].GetScore() == 0

    def PrintInfo(self, best):
        print(" adn; '", best.GetGoal(), "'", end='')

    def Struggle(self):
        pass

    def MakeNewborn(self, nadn, mutsmo):
        return Blob(nadn, mutsmo)

from genericbreeder import GenericBreeder as GBreeder
from genericentity import GenericEntity as GEntity
from blob import Blob
from misc import Misc as mi
import random as ran

class BlobBreeder(GBreeder):

    def __init__(self,nlifesize,nparentsize,nlowestscore):
        self.Reset(nlifesize,nparentsize,nlowestscore)

    def CopulateSub(self,nextadn,mom,dad):
        for index in range(0,len(nextadn)):
            if(ran.getrandbits(1)==0):
                nextent = mom
            else:
                nextent = dad
            nextadn[index]=nextent.adn[index]
    
    @staticmethod
    def CreateLife():
        return Blob([int((ran.random() * 1000) + 32) for i in range(0,Blob.adnsize)],100)

    def IsMaximal(self):
        return (self.life[0].GetScore()==0)
    
    def PrintInfo(self,best):
        print(" adn; '",best.GetGoal(),"'",end="")

    def Struggle(self):
        pass

    def MakeNewborn(self,nadn,mutsmo):
        return Blob(nadn,mutsmo)