add new Snake
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+39
-28
@@ -36,13 +36,15 @@ class MasterSnake(TemplateSnake):
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safe_positions = self.avoid_snake_body(snakes, board_width, board_height)
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# Finde die nächstgelegene Nahrungsquelle, wenn Nahrung vorhanden ist
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path_to_food = self.find_path_to_food(game_data)
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if path_to_food:
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# Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
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move = self.move_towards_food(my_head, path_to_food[0], safe_positions)
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print(move)
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else:
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# Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine Nahrung vorhanden ist
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try:
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path_to_food = self.find_path_to_food(game_data)
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if path_to_food:
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# Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
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move = self.move_towards_food(my_head, path_to_food[0], safe_positions)
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else:
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# Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine Nahrung vorhanden ist
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move = self.find_direction(my_head, safe_positions)
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except ValueError:
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move = self.find_direction(my_head, safe_positions)
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# Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
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@@ -51,18 +53,23 @@ class MasterSnake(TemplateSnake):
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return move
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def move_towards_food(self, head, food, safe_positions):
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# Beispielhafte Logik, um in Richtung der Nahrungsquelle zu bewegen
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directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
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best_direction = None
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min_distance = float('inf')
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min_distance_to_body = float('inf')
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body_positions = set((pos['x'], pos['y']) for pos in safe_positions[:-1]) # Exclude the head from body positions
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for direction, (dx, dy) in directions.items():
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next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
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if next_position in safe_positions:
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distance = abs(food[0] - next_position['x']) + abs(food[1] - next_position['y'])
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if distance < min_distance:
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distance_to_body = sum(abs(part[0] - next_position['x']) + abs(part[1] - next_position['y']) for part in body_positions)
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if distance < min_distance or (distance == min_distance and distance_to_body < min_distance_to_body):
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best_direction = direction
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min_distance = distance
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return best_direction if best_direction else "up" # Standardbewegung, falls keine sichere Richtung gefunden wird
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min_distance_to_body = distance_to_body
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return best_direction if best_direction else "up" # Default to moving up if no safe direction found
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def find_path_to_food(self, game_data):
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my_head = game_data['you']['head']
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@@ -70,22 +77,26 @@ class MasterSnake(TemplateSnake):
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snakes = game_data['board']['snakes']
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board_width = game_data['board']['width']
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board_height = game_data['board']['height']
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# Wähle die nächste Nahrungsquelle basierend auf der Heuristik
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# Exclude own snake's body from obstacles
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own_snake_body = game_data['you']['body']
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obstacles = set((part['x'], part['y']) for part in own_snake_body)
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for snake in snakes:
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if snake['id'] != game_data['you']['id']:
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for part in snake['body']:
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obstacles.add((part['x'], part['y']))
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# Choose the closest food source based on the heuristic
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closest_food = min(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
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# Verwende A* zur Suche nach einem sicheren Pfad
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path = self.a_star_search(my_head, closest_food, snakes, board_width, board_height)
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# Use A* to search for a safe path
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path = self.a_star_search(my_head, closest_food, obstacles, board_width, board_height)
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return path
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def a_star_search(self, start, goal, snakes, board_width, board_height):
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# Konvertiere Schlangenpositionen in ein Set von Hindernissen
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obstacles = set()
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for snake in snakes:
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for part in snake['body']:
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obstacles.add((part['x'], part['y']))
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# Hilfsfunktionen
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def a_star_search(self, start, goal, obstacles, board_width, board_height):
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# Convert snake positions into a set of obstacles
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# Helper functions
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def is_position_safe(position):
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x, y = position
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return 0 <= x < board_width and 0 <= y < board_height and position not in obstacles
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@@ -97,11 +108,11 @@ class MasterSnake(TemplateSnake):
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def heuristic(position, goal):
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return abs(position[0] - goal[0]) + abs(position[1] - goal[1])
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# Initialisiere Start- und Zielpositionen
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# Initialize start and goal positions
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start = (start['x'], start['y'])
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goal = (goal['x'], goal['y'])
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# Initialisiere die offene und geschlossene Liste
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# Initialize the open and closed list
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open_set = set([start])
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came_from = {}
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g_score = {start: 0}
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@@ -110,17 +121,17 @@ class MasterSnake(TemplateSnake):
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while open_set:
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current = min(open_set, key=lambda pos: f_score.get(pos, float('inf')))
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if current == goal:
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# Rekonstruiere den Pfad
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# Reconstruct the path
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path = []
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while current in came_from:
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path.append(current)
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current = came_from[current]
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path.reverse()
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return path # Rückgabe des Pfades als Liste von Tupeln
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return path # Return the path as a list of tuples
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open_set.remove(current)
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for neighbor in get_neighbors(current):
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tentative_g_score = g_score[current] + 1 # Distanz zwischen Nachbarn ist immer 1
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tentative_g_score = g_score[current] + 1 # Distance between neighbors is always 1
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if tentative_g_score < g_score.get(neighbor, float('inf')):
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came_from[neighbor] = current
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g_score[neighbor] = tentative_g_score
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