Przeszukiwanie-stanów-A_star #2
25
animal.py
@ -1,7 +1,6 @@
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import pygame
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from abc import ABC, abstractmethod
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class Animal:
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def __init__(self, x, y,name, image, food_image, food, environment, adult=False,):
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self.x = x - 1
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@ -15,29 +14,31 @@ class Animal:
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self.environment = environment #hot/cold/medium
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def draw(self, screen, grid_size):
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self.image = pygame.transform.scale(self.image, (grid_size, grid_size))
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if self.adult:
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# If adult, draw like AdultAnimal
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# Jeśli zwierzę jest dorosłe, skaluj obrazek na większy rozmiar
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new_width = grid_size * 2
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new_height = grid_size * 2
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scaled_image = pygame.transform.scale(self.image, (new_width, new_height))
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screen.blit(scaled_image, (self.x * grid_size, self.y * grid_size))
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else:
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# If not adult, draw like normal Animal
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screen.blit(self.image, (self.x * grid_size, self.y * grid_size))
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# Jeśli zwierzę nie jest dorosłe, skaluj obrazek na rozmiar jednej kratki
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scaled_image = pygame.transform.scale(self.image, (grid_size, grid_size))
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screen.blit(scaled_image, (self.x * grid_size, self.y * grid_size))
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def draw_exclamation(self, screen, grid_size, x, y):
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exclamation_image = pygame.image.load('images/exclamation.png')
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exclamation_image = pygame.transform.scale(exclamation_image, (grid_size,grid_size))
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screen.blit(exclamation_image, (x*grid_size, y*grid_size - grid_size))
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exclamation_image = pygame.transform.scale(exclamation_image, (int(grid_size * 0.45), int(grid_size * 0.45)))
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screen.blit(exclamation_image, (x * grid_size, y * grid_size))
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def draw_food(self, screen, grid_size, x, y):
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scale = 0.45
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food_image = pygame.image.load(self.food_image)
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food_image = pygame.transform.scale(food_image, (grid_size,grid_size))
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screen.blit(food_image, (x*grid_size, y*grid_size + grid_size))
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if(self.adult):
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y = y + 1
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scale = 0.7
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food_image = pygame.transform.scale(food_image, (int(grid_size * scale), int(grid_size * scale)))
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screen.blit(food_image, (x * grid_size, (y + 1) * grid_size - int(grid_size * scale)))
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@abstractmethod
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def feed(self):
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@ -45,4 +46,4 @@ class Animal:
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@abstractmethod
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def getting_hungry(self):
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pass
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pass
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Before Width: | Height: | Size: 248 KiB |
BIN
images/bear.png
Before Width: | Height: | Size: 1.9 MiB After Width: | Height: | Size: 2.3 MiB |
Before Width: | Height: | Size: 63 KiB After Width: | Height: | Size: 64 KiB |
BIN
images/fish.png
Before Width: | Height: | Size: 934 KiB After Width: | Height: | Size: 601 KiB |
Before Width: | Height: | Size: 256 KiB After Width: | Height: | Size: 444 KiB |
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images/meat.png
Before Width: | Height: | Size: 186 KiB After Width: | Height: | Size: 232 KiB |
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images/milk.png
Before Width: | Height: | Size: 288 KiB After Width: | Height: | Size: 460 KiB |
Before Width: | Height: | Size: 1.5 MiB After Width: | Height: | Size: 1.7 MiB |
Before Width: | Height: | Size: 1.1 MiB After Width: | Height: | Size: 2.4 MiB |
7
main.py
@ -13,7 +13,7 @@ from state_space_search import graphsearch
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BLACK = (0, 0, 0)
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GRID_SIZE = 50
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GRID_SIZE = 64
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GRID_WIDTH = 30
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GRID_HEIGHT = 15
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@ -177,9 +177,10 @@ def main():
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spawn_all_animals()
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# region Test szukania ścieżki
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for animal in Animals:
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animal._feed = 2 # Ustawienie aby zwierzę było głodne
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animal = random.choice(Animals)
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actions = graphsearch(agent.istate, (animal.x, animal.y), GRID_WIDTH, GRID_HEIGHT, obstacles)
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animal._feed = 2 # Ustawienie aby zwierzę było głodne
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# actions = graphsearch(agent.istate, (animal.x, animal.y), GRID_WIDTH, GRID_HEIGHT, obstacles)
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# endregion
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spawned = True
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