def resetare_teste(tst):
global genom_special
global spc
import LibrarieSecundara
LibrarieSecundara.teste = copy.deepcopy(tst)
from LibrarieSecundara import teste
teste = copy.deepcopy(tst)
nod_output = Gena(1,1)
bias = Gena(0, 0)
conn_bias = Conexiune(bias, nod_output, random.uniform(0, 0.5)*random.choice([-1, 1]))
maxim = 3
gene = [bias, nod_output]
conexiuni = [conn_bias]
for _ in range(0, len(tst[0][0]) - 1):
gena_noua = Gena(maxim,0)
maxim += 1
conn_noua = Conexiune(gena_noua, nod_output, random.uniform(0, 0.5)*random.choice([-1, 1]))
conexiuni += [conn_noua]
gene += [gena_noua]
genom_special = Genom(gene, conexiuni)
lista1 = []
for _ in range(0, 15):
lista1.append(copy.deepcopy(random.choice([ genom_special])))
specie1= Specie(copy.deepcopy(lista1))
sp = []
for _ in range(0, 10):
sp = sp + [copy.deepcopy(specie1)]
spc = Specii(copy.deepcopy(sp))
def crossover(geno):
if len(geno) == 1:
return geno[0]
genom1, genom2 = geno
lista_gene = []
for i in genom1.gene:
if i not in genom2.gene:
lista_gene += [i]
lista_gene += genom2.gene
conexiuni = []
for i in genom1.conexiuni:
ok = 0
for j in genom2.conexiuni:
if i.input == j.input and i.output == j.output:
if random.choice([0, 1]) == 0:
conexiuni.append(copy.deepcopy(i))
else:
conexiuni.append(copy.deepcopy(j))
ok = 1
break
if ok == 0:
conexiuni.append(i)
de_sters = []
for i in lista_gene:
if i.nume not in [n.input.nume for n in conexiuni] + [n.output.nume for n in conexiuni]:
de_sters += [i]
for i in de_sters:
lista_gene.remove(i)
copil = Genom(lista_gene, conexiuni)
return copil
def creare_genom():
nod_output = Gena(1,1)
bias = Gena(0, 0)
conn_bias = Conexiune(bias, nod_output, random.uniform(0, 0.5)*random.choice([-1, 1]))
maxim = 3
gene = [bias, nod_output]
conexiuni = [conn_bias]
for _ in range(0, len(teste[0][0]) - 1):
gena_noua = Gena(maxim,0)
maxim += 1
conn_noua = Conexiune(gena_noua, nod_output, random.uniform(0, 0.5)*random.choice([-1, 1]))
conexiuni += [conn_noua]
gene += [gena_noua]
return Genom(gene, conexiuni)
def citire_din_fisier(nume_fisier):
gene = []
conexiuni = []
fisier = open(nume_fisier, "r")
continut = fisier.read()
date = continut.split("\n")[:-1]
dictionar = {}
for gen in date[0].split(";")[:-1]:
extragere = gen.split(":")
gene = gene + [Gena(int(extragere[0]), int(extragere[1]))]
dictionar[extragere[0]] = Gena(int(extragere[0]), int(extragere[1]))
for con in date[1:]:
extragere = con.split(",")
inp = dictionar[extragere[0].split(":")[0]]
out = dictionar[extragere[1].split(":")[0]]
wgh = float(extragere[2])
conexiuni = conexiuni + [Conexiune(inp, out, wgh)]
fisier.close()
return Genom(gene, conexiuni)