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breeding.py
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breeding.py
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"""
Written by Victoria Worthington
The breeding object holds information about breeding chances and possibilites.
This object DOES NOT generate the cat.
"""
# I would like to figure out how to get rid of these imports
# since im just reimporting the same thing from Cat again
# C++ doesnt make you reimport it but I guess it might be
# im not really importing the whole file???
import pandas as pd
import random
import numpy as np
# import math
from datetime import datetime
from tabulate import tabulate
random.seed(datetime.now().timestamp())
from cat import Cat
import globals
class Breeding:
def __init__(self, userID, catOne: Cat, catTwo: Cat):
self.userID = userID
self.breedable = False
self.punnetts = None
self.child = None
if catOne.sex == 'F' and catTwo.sex == 'M':
self.breedable = True
self.mother = catOne
self.father = catTwo
elif catOne.sex == 'M' and catTwo.sex == 'F':
self.breedable = True
self.mother = catTwo
self.father = catOne
if self.breedable:
self.punnetts = self.generate_punnetts()
self.child = self.create_random_loadout()
def get_child(self):
if self.child != None:
return self.child
else:
return "Couldn't find child"
"""
This function will generate a potential offspring using the random chances
from the punnett.
"""
def create_random_loadout(self):
if self.punnetts == None:
self.generate_punnetts()
else:
sex = 'F'
ss = random.randint(0, 3)
if (ss > 1):
sex = 'M'
genesTemplate = []
# NOTE update this to enumerate later
for i in range(len(self.punnetts)):
punnett = self.punnetts[i]
columnNameI = punnett.columns[0]
columnNameL = punnett.columns[1]
# Gets population and weights, converting them from dataframe to series
pop = punnett.get(columnNameI).squeeze()
weights = punnett.get(columnNameL).squeeze()
# print(f"Pop:\n{pop}\nWeights:\n{weights}\n")
if i == 0:
maleAlleles, femAlleles, maleWeights, femaleWeights = self.get_genes_with(pop, weights, 'x')
# print(maleAlleles,"\n",femAlleles)
if sex == 'M':
unparsedAlleles = random.choices(maleAlleles, weights=maleWeights, k=1)
else:
unparsedAlleles = random.choices(femAlleles, weights=femaleWeights, k=1)
parsedAlleles = unparsedAlleles[0].split(',,')
genesTemplate.append(parsedAlleles[0])
genesTemplate.append(parsedAlleles[1])
else:
# Checks if the weights are an integer
# If they are, it means there is only one weight (100%)
if isinstance(weights, np.integer):
parsedAlleles = pop.split(',,')
# print(parsedAlleles)
genesTemplate.append(parsedAlleles[0])
genesTemplate.append(parsedAlleles[1])
# Checks if the value given is just B and not B,,b
elif ',,' not in pop[0]:
genesTemplate.append(pop[0])
genesTemplate.append(pop[0])
else:
unparsedAlleles = random.choices(pop, weights=weights, k=1)
# NOTE update this later to be cleaner
# Checks same thing as above but after randomly selecting.
if ',,' not in unparsedAlleles[0]:
genesTemplate.append(unparsedAlleles[0])
genesTemplate.append(unparsedAlleles[0])
else:
parsedAlleles = unparsedAlleles[0].split(',,')
genesTemplate.append(parsedAlleles[0])
genesTemplate.append(parsedAlleles[1])
child = Cat(self.userID, 0, False)
child.create_genetics(genesTemplate)
child.sex = sex
print("Child")
child.print_genes(True, False)
self.child = child
return child
def __str__(self):
if self.breedable:
return f"{self.mother} and {self.father} are a viable pair."
else:
return f"The cats provided cannot be bred. Check that you've provided a male and female cat."
def get_genes_with(self, pop, weights, character):
genesWith = []
weightsWith = []
genesWithout = []
weightsWithout = []
for i in range(len(pop)):
if pop[i]:
if character in pop[i]:
genesWith.append(pop[i])
weightsWith.append(weights[i])
else:
genesWithout.append(pop[i])
weightsWithout.append(weights[i])
# print("genes with: \n",genesWith)
# print("genes without: \n", genesWithout)
return genesWith, genesWithout, weightsWith, weightsWithout
"""
Should be run AFTER generating punnetts.
"""
def print_punnet(self, locus):
for punnett in self.punnetts:
if punnett.columns[1] == locus:
print(punnett)
return punnett
print("Not found")
return "Punnett for that Locus was not found."
def generate_punnetts(self):
if self.breedable == False:
return "Could not generate punnetts. Check if pair provided can breed."
punnetts = []
# punnetts.astype('object')
lookupGene = ('O','o',
'B','b','b1',
'D','d',
'MC','mc','a',
'Ws','ws','wx',
'C','cb','cs','c',
'x')
for i in range((len(globals.allChoices))-1):
punnett = self.generate_punnett(lookupGene, globals.locuses[i], i)
punnetts.append(punnett)
# print(punnetts)
return punnetts
"""
Helper function of generate_punnetts that does most of the heavy lifting
"""
def generate_punnett(self, lookupGene, locus, index):
MA1 = self.mother.genes.iat[0, index]
MA2 = self.mother.genes.iat[1, index]
MI1 = lookupGene.index(MA1)
MI2 = lookupGene.index(MA2)
FA1 = self.father.genes.iat[0, index]
FA2 = self.father.genes.iat[1, index]
FI1 = lookupGene.index(FA1)
FI2 = lookupGene.index(FA2)
# Creates a punnett square of the Locus
columnHeaders = [MA1, MA2]
body = (['u', 'u'],
['u', 'u'])
punnett = pd.DataFrame(body, columns=columnHeaders)
punnett.index = [FA1, FA2]
# NOTE EVENTUALLY CLEAN THIS UP !!
# Top left square
if MI1 <= FI1:# r /c
punnett.iat[0, 0] = MA1 + ',,' + FA1
elif MI1 > FI1:
punnett.iat[0, 0] = FA1 + ',,' + MA1
# Top right square
if MI2 <= FI1:
punnett.iat[0, 1] = MA2 + ',,' + FA1
elif MI2 > FI1:
punnett.iat[0, 1] = FA1 + ',,' + MA2
if FA2 != 'x':
# Bottom left square
if MI1 <= FI2:
punnett.iat[1, 0] = MA1 + ',,' + FA2
elif MI1 > FI2:
punnett.iat[1, 0] = FA2 + ',,' + MA1
# Bottom right square
if MI2 <= FI2:
punnett.iat[1, 1] = MA2 + ',,' + FA2
elif MI2 > FI2:
punnett.iat[1, 1] = FA2 + ',,' + MA2
else:
punnett.iat[1, 0] = MA1 + ',,' + 'x'
punnett.iat[1, 1] = MA2 + ',,' + 'x'
punnett.columns = ['MA1', 'MA2']
percentages = punnett.value_counts('MA1').add(punnett.value_counts('MA2'), fill_value=0)
percentages *= 25
newDf = percentages.to_frame(name=locus).reset_index()
newDf.rename(columns={0:'Alleles', 1:'Chance'})
return newDf