158 lines
5.6 KiB
Python
158 lines
5.6 KiB
Python
import random
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import pygame
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import sys
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sys.path.append('./Animals')
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from animals import create_animals, draw_Animals
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from agent import Agent
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from enclosure import create_enclosures, draw_enclosures, draw_gates
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from spawner import Spawner
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from state_space_search import graphsearch, generate_cost_map
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from terrain_obstacle import create_obstacles, draw_Terrain_Obstacles
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from constants import Constants, init_pygame
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from draw import draw_goal, draw_grid, draw_house
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from season import draw_background
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from night import change_time
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from genetics import genetic_algorithm
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const = Constants()
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init_pygame(const)
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pygame.display.set_caption("Mini Zoo")
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obstacles = set()
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animals_position = set()
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terrain_obstacles_position = set()
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Animals = create_animals()
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Enclosures = create_enclosures()
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Terrain_Obstacles = create_obstacles()
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def spawn_all_animals():
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for Animal in Animals:
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spawner1 = Spawner(Animal)
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spawner1.spawn_animal(obstacles, animals_position, Enclosures)
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def spawn_obstacles():
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for terrain_obstacle in Terrain_Obstacles:
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spawner2 = Spawner(terrain_obstacle)
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spawner2.spawn_terrain_obstacles(obstacles, animals_position, terrain_obstacles_position, const.GRID_WIDTH, const.GRID_HEIGHT)
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def generate_obstacles():
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for en in Enclosures:
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# Pobierz współrzędne bramy
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gate_x, gate_y = en.gate1
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gate_x -= 1
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gate_y -= 1
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gate_x2, gate_y2 = en.gate2
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gate_x2 -= 1
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gate_y2 -= 1
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# Dodaj lewy brzeg prostokąta
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for y in range(en.y1, en.y2 + 1):
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if (en.x1, y) != (gate_x, gate_y) and (en.x1, y) != (gate_x2, gate_y2):
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obstacles.add((en.x1, y))
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# Dodaj prawy brzeg prostokąta
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for y in range(en.y1, en.y2 + 1):
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if (en.x2, y) != (gate_x, gate_y) and (en.x2, y) != (gate_x2, gate_y2):
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obstacles.add((en.x2, y))
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# Dodaj górny brzeg prostokąta
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for x in range(en.x1+1, en.x2):
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if (x, en.y1) != (gate_x, gate_y) and (x, en.y1) != (gate_x2, gate_y2):
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obstacles.add((x, en.y1))
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# Dodaj dolny brzeg prostokąta
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for x in range(en.x1+1, en.x2):
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if (x, en.y2) != (gate_x, gate_y) and (x, en.y2) != (gate_x2, gate_y2):
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obstacles.add((x, en.y2))
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return obstacles
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def main():
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initial_state = (0, 0, 'S')
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agent = Agent(initial_state, 'images/agent1.png', const.GRID_SIZE)
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obstacles = generate_obstacles()
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actions = []
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clock = pygame.time.Clock()
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spawned = False
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route = False
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# # Lista zawierająca klatki do odwiedzenia
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# enclosures_to_visit = Enclosures.copy()
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# current_enclosure_index = -1 # Indeks bieżącej klatki
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# actions_to_compare_list = [] # Lista zawierająca ścieżki do porównania
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# goals_to_compare_list = list() # Lista zawierająca cele do porównania
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while True:
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for event in pygame.event.get():
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if event.type == pygame.QUIT:
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pygame.quit()
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sys.exit()
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agent.handle_event(event, const.GRID_WIDTH, const.GRID_HEIGHT, Animals, obstacles,const)
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change_time(const)
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draw_background(const)
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draw_enclosures(Enclosures, const)
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draw_gates(Enclosures, const)
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draw_house(const)
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if not spawned:
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spawn_all_animals()
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spawn_obstacles()
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cost_map = generate_cost_map(Animals, Terrain_Obstacles)
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for animal in Animals:
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# animal._feed = 0
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animal._feed = random.randint(0, 10)
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spawned = True
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if not route:
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animals = [(animal.x, animal.y) for animal in Animals]
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best_route = genetic_algorithm(animals)
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route = True
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draw_Animals(Animals, const)
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draw_Terrain_Obstacles(Terrain_Obstacles, const)
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agent.draw(const)
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pygame.display.flip()
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clock.tick(10)
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if actions:
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action = actions.pop(0)
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agent.move(action, const.GRID_WIDTH, const.GRID_HEIGHT, obstacles, Animals, goal,const)
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pygame.time.wait(200)
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else:
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if agent._dryfood > 1 and agent._wetfood > 1 :
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# if not goals_to_compare_list:
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# current_enclosure_index = (current_enclosure_index + 1) % len(enclosures_to_visit)
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# current_enclosure = enclosures_to_visit[current_enclosure_index]
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# for animal in current_enclosure.animals:
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# goal = (animal.x, animal.y)
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# goals_to_compare_list.append(goal)
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# actions_to_compare = graphsearch(agent.istate, goal, const.GRID_WIDTH, const.GRID_HEIGHT, obstacles, cost_map)
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# actions_to_compare_list.append((actions_to_compare, goal))
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# chosen_path_and_goal = min(actions_to_compare_list, key=lambda x: len(x[0]))
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# goal = chosen_path_and_goal[1]
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# draw_goal(const, goal)
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# # Usuń wybrany element z listy
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# actions_to_compare_list.remove(chosen_path_and_goal)
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# goals_to_compare_list.remove(goal)
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goal = best_route.pop(0)
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best_route.append(goal)
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draw_goal(const, goal)
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actions, cost = graphsearch(agent.istate, goal, const.GRID_WIDTH, const.GRID_HEIGHT, obstacles, cost_map)
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else:
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goal = (3,1)
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draw_goal(const, goal)
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actions, cost = graphsearch(agent.istate, goal, const.GRID_WIDTH, const.GRID_HEIGHT, obstacles, cost_map)
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if __name__ == "__main__":
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main() |