В коде создаются экземпляры ИИ с параметрами(ответы веса и тд) При выполнения метода вычисления ответа(evale() ), ИИ меняет свой ответ(newAi.yl) хотя он не должен В коде есть отдельные функции для работы с словарями и списками (Часть с ИИ начинается с 70 строчки или с класса newAi)
Вот код:
from random import *
from os import *
def copy(lst):
o=[]
for i in lst:o.append(i)
return o
def drange(dct, rang, n=False):
out=[]
if not(n):
olen=len(dct)-rang
for i in range(olen):
out.append(i)
return out
def copy_dict(dct):
aa={}
for i in dct:aa[i] = dct[i]
return aa
def sortd(dct,tp):
if tp==1:
return sorted(list(dct.keys()))
else:
return sorted(list(dct.values()))
def findObjByKey(dct, key):
return dct[key]
def findKeyByObj(dct, obj):
dct_key = list(copy_dict(dct).keys())
dct_val = list(copy_dict(dct).values())
return dct_key[dct_val.index(obj)]
def mut(prc_mut, sa, mn, mx):
vl = []
vl2 = []
for i in range(100):
vl.append(i)
for i in range(prc_mut):
vl2.append(i)
s = sa
r = [mn, mx]
x=choice(vl)
if x in vl2:
s[s.index(choice(s))]+=choice(r)
s2 = copy(s)
return s
def mut2(prc_mut, sa, mn, mx):
vl = []
vl2 = []
for i in range(100):
vl.append(i)
for i in range(prc_mut):
vl2.append(i)
s = sa
r = [mn, mx]
x=choice(vl)
if x in vl2:
s[s.index(choice(s))]=choice(r)
s2 = copy(s)
return s
class newAi:
def __init__(self,xlist,ry,cl):
self.xl = xlist
self.yl = []
for i in range(ry):
self.yl.append(0)
self.w = [[],[]]
for i in xlist:
self.w[0].append(uniform(-1,1))
for i in self.yl:
self.w[1].append(uniform(-1,1))
self.n=0
self.ans = 0
self.er = 0
self.c = cl
def evale(self):
temp=[]
for i in self.xl:
for w in self.w[0]:
temp.append(i*w)
self.n = sum(temp)
temp = []
for i in self.w[1]:
self.yl[self.w[1].index(i)] = i*self.n
return self.yl
def ser(self):
self.er = self.c[0] - self.yl[0]
return self.er
def mutation(self):
w0 = mut2(50, self.w[0], uniform(-1, 0),uniform(0, 1))
w1 = mut2(50, self.w[1], uniform(-1, 0),uniform(0, 1))
return [w0, w1]
if __name__ == '__main__':
system('cls')
data = {}
for i in range(10):
a = newAi([2,3],1,[6])
n = a.evale()
e = a.ser()
data[e] = a
for i in data:
print(i,':',data[i])
print()
print(min(data.keys()), ':', data[min(data.keys())])
data_c = copy_dict(data)
for i in data_c:
if i < 0:
del data[i]
print()
print(min(data.keys()), ':', data[min(data.keys())])
print()
data_c2 = copy_dict(data)
lowestErorAis = []
for i in drange(data_c2, 4):
#for i in range(4):
lowestErorAis.append(findObjByKey(data_c2, min(data_c2.keys())))
del data_c2[max(data_c2.keys())]
print(list(data_c2.keys()))
keysDataC2 = sortd(data_c2, 1)
print(keysDataC2)
data_c3 = {}
for i in keysDataC2:
data_c3[i] = data_c2[findKeyByObj(data_c2, findObjByKey(data_c2,i))]
for i in data_c3:
print('1--',i,':',data_c3[i])
startErors = [findKeyByObj(data_c3 , data_c3[i])]
#data_c3 - ais with lowest erors (sorted and not sorted - data_c2)
clone_data = {}
for i in range(100):
for i in range(1):
for i in list(data_c3.values()):
a = newAi([2,3],1,[6])
ws = i.mutation()
a.w[0] = ws[0]
a.w[1] = ws[1]
n = a.evale()
#print()
e = a.ser()
if not e < 0:
clone_data[e] = a
data_c = copy_dict(clone_data)
for i in data_c:
if i < 0:
del clone_data[i]
data_c2 = copy_dict(clone_data)
lowestErorAis = []
for i in drange(data_c2, 4):
#for i in range(4):
lowestErorAis.append(findObjByKey(data_c2, min(data_c2.keys())))
del data_c2[max(data_c2.keys())]
#print(list(data_c2.keys()))
keysDataC2 = sortd(data_c2, 1)
#print(keysDataC2)
data_c3 = {}
for i in keysDataC2:
data_c3[i] = data_c2[findKeyByObj(data_c2, findObjByKey(data_c2,i))]
#print(*clone_data)
print(data_c3)
for i in data_c3:
print(i,':',data_c3[i])
#best_dict = {findKeyByObj(data_c3, data_c3[min(data_c3.keys())]):data_c3[min(data_c3.keys())]}
best_dict = {findKeyByObj(clone_data, clone_data[min(clone_data.keys())]):clone_data[min(clone_data.keys())]}
print('The best AI -', list(best_dict.values())[0], 'with eror -', list(best_dict.keys())[0])
if not list(best_dict.keys())[0] in startErors:
print('Evolution is working!')
print('Enter - [2,3]')
print(list(best_dict.values())[0].w)
print(list(best_dict.values())[0].yl)
print(list(best_dict.values())[0].evale())
print(list(best_dict.values())[0].evale())
print(list(best_dict.values())[0].w)
print(list(best_dict.values())[0].yl)
print(list(best_dict.values())[0].w)
print('AI answer -', list(best_dict.values())[0].yl)
print('Correct answer is 6')
