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161 lines (119 loc) · 6.47 KB
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from Snak import Snak
from Nural_Net import Nural_Net
import numpy as np
import random
BLACK = (0,0,0)
WHITE = (255,255,255)
SIZE = 20
WIDTH = 600.000
HEIGHT =600.000
FView = 10
def sigmoid(x):
return 1 / (1 + np.e ** -x)
class Full_Snake:
def __init__(self,snaklen):
self.SPEED_X =random.randint(0,1)
self.SPEED_Y = 1 - self.SPEED_X
self.snak_len = snaklen
self.snake_body = [None]*self.snak_len
for i in xrange(0,self.snak_len):
if i==0:
self.snake_body[i]=Snak (random.randint(0,580), random.randint(0,580))
else:
self.snake_body[i]=Snak (self.snake_body[i-1].x-SIZE,self.snake_body[i-1].y)
self.s_Color = (random.randint(1,250), random.randint(5,255), random.randint(10,245))
self.nural_Net = Nural_Net()
self.fitness=1
self.isAlive=True
self.dis_up = 0
self.dis_down = 0
self.dis_left = 0
self.dis_right = 0
self.dis_food = 0
self.dis_x_food = 0
self.dis_y_food = 0
def initiaze_network(self):
self.nural_Net.create_Weight_Martix()
def get_nxt_move(self,input_vector):
self.nural_Net.input_vector = input_vector
output_vec = self.nural_Net.feed_forward()
output = np.argmax(output_vec)
# print('\n output vec:',output_vec)
# [left, top ,right ,bottom]
#left, ahead, right
# if output == 0: # left
# self.SPEED_X = -1
# self.SPEED_Y = 0
# if output == 1: # top
# self.SPEED_X = 0
# self.SPEED_Y = -1
# if output == 2: # Right
# self.SPEED_X = 1
# self.SPEED_Y = 0
# if output == 3: # bottom
# self.SPEED_X = 0
# self.SPEED_Y = 1
# print("output_vec::",output_vec,"\n max at:",output)
# print("Dire :X",self.SPEED_X," \n Y:",self.SPEED_Y)
def update_pos(self):
for i in xrange(self.snak_len,0,-1): ## update individual snake pos
if i-1 != 0:
self.snake_body[i-1] = self.snake_body[i-2]
else:
self.snake_body[i-1] = Snak(self.snake_body[i-1].x+(self.SPEED_X*SIZE), self.snake_body[i-1].y+(self.SPEED_Y*SIZE))
# Move through walls
if self.snake_body[i-1].x > WIDTH:
self.snake_body[i-1].x = 0
if self.snake_body[i-1].x<0:
self.snake_body[i-1].x = WIDTH
if self.snake_body[i-1].y > HEIGHT:
self.snake_body[i-1].y = 0
if self.snake_body[i-1].y < 0:
self.snake_body[i-1].y = HEIGHT
def bite(self):
for i in xrange(1,self.snak_len):
#get view
#Left
if (self.snake_body[0].x - FView <= self.snake_body[i].x and self.snake_body[0].x >= self.snake_body[i].x and self.snake_body[0].y == self.snake_body[i].y):
self.dis_left = np.sqrt(np.power((self.snake_body[0].x - self.snake_body[i].x),2) + np.power((self.snake_body[0].y - self.snake_body[i].y),2))
# normalizing in range on 0-1
self.dis_left = self.dis_left / (FView*SIZE)
elif True: #(self.snake_body[0].x <= FView*SIZE):
self.dis_left = np.sqrt(np.power((self.snake_body[0].x - 0),2) + np.power((self.snake_body[0].y - self.snake_body[0].y),2))
self.dis_left = (self.dis_left / WIDTH )
# print("\n dL:", self.dis_left)
# Right
if (self.snake_body[0].x + FView >= self.snake_body[i].x and self.snake_body[0].x <= self.snake_body[i].x and self.snake_body[0].y == self.snake_body[i].y):
self.dis_right = np.sqrt(np.power((self.snake_body[0].x - self.snake_body[i].x),2) + np.power((self.snake_body[0].y - self.snake_body[i].y),2))
# normalizing in range on 0-1
self.dis_right = self.dis_right / (FView*SIZE)
elif True: #WIDTH -self.snake_body[0].x <= FView*SIZE):
self.dis_right = np.sqrt(np.power((WIDTH - self.snake_body[i].x),2) + np.power((self.snake_body[0].y - self.snake_body[0].y),2))
self.dis_right = self.dis_right / WIDTH#(FView*SIZE)
# print("\n dR:", self.dis_right)
# Up
if (self.snake_body[0].y - FView <= self.snake_body[i].y and self.snake_body[0].y >= self.snake_body[i].y and self.snake_body[0].x == self.snake_body[i].x):
self.dis_up = np.sqrt(np.power((self.snake_body[0].x - self.snake_body[i].x),2) + np.power((self.snake_body[0].y - self.snake_body[i].y),2))
# normalizing in range on 0-1
self.dis_up = self.dis_up / FView*SIZE
elif True: #self.snake_body[0].y <= FView*SIZE :
self.dis_up = np.sqrt(np.power((self.snake_body[0].y - 0),2) + np.power((self.snake_body[0].x - self.snake_body[0].x),2))
self.dis_up = self.dis_up / HEIGHT
# print("\n dU:", self.dis_up)
#Down
if (self.snake_body[0].y + FView >= self.snake_body[i].y and self.snake_body[0].y <= self.snake_body[i].y and self.snake_body[0].x == self.snake_body[i].x):
self.dis_down = np.sqrt(np.power((self.snake_body[0].x - self.snake_body[i].x),2) + np.power((self.snake_body[0].y - self.snake_body[i].y),2))
# normalizing in range on 0-1
self.dis_down = self.dis_down / (FView*SIZE)
elif True:#HEIGHT-self.snake_body[0].y <= FView*SIZE:
self.dis_down = np.sqrt(np.power((self.snake_body[0].x - self.snake_body[0].x),2) + np.power((HEIGHT - self.snake_body[0].y),2))
self.dis_down = self.dis_down / HEIGHT#(FView*SIZE)
# print("\n dD:", self.dis_down)
####
dis = np.sqrt(np.power((self.snake_body[0].x - self.snake_body[i].x),2) + np.power((self.snake_body[0].y - self.snake_body[i].y),2))
if dis < 1:
print("MArgya Chutiya!!!")
self.snake_body = [Snak(random.randint(0,580),random.randint(0,580))]
self.snak_len = 1
return True
return False