add new Snake

This commit is contained in:
2024-04-12 15:43:29 +02:00
parent cbe8890b59
commit 5633c4c134
3 changed files with 149 additions and 29 deletions
+2 -1
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@@ -1,5 +1,6 @@
from snakes.DummSnake import DummSnake
from snakes.LogicSnake import LogicSnake
from snakes.AStarSnake import AStarSnake
from snakes.MasterSnake import MasterSnake
SNAKE = AStarSnake()
SNAKE = MasterSnake()
+30 -19
View File
@@ -36,14 +36,16 @@ class MasterSnake(TemplateSnake):
safe_positions = self.avoid_snake_body(snakes, board_width, board_height)
# Finde die nächstgelegene Nahrungsquelle, wenn Nahrung vorhanden ist
try:
path_to_food = self.find_path_to_food(game_data)
if path_to_food:
# Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
move = self.move_towards_food(my_head, path_to_food[0], safe_positions)
print(move)
else:
# Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine Nahrung vorhanden ist
move = self.find_direction(my_head, safe_positions)
except ValueError:
move = self.find_direction(my_head, safe_positions)
# Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
move = self.avoid_dead_ends(my_head, move, safe_positions, board_width, board_height, snakes)
@@ -51,18 +53,23 @@ class MasterSnake(TemplateSnake):
return move
def move_towards_food(self, head, food, safe_positions):
# Beispielhafte Logik, um in Richtung der Nahrungsquelle zu bewegen
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
best_direction = None
min_distance = float('inf')
min_distance_to_body = float('inf')
body_positions = set((pos['x'], pos['y']) for pos in safe_positions[:-1]) # Exclude the head from body positions
for direction, (dx, dy) in directions.items():
next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
if next_position in safe_positions:
distance = abs(food[0] - next_position['x']) + abs(food[1] - next_position['y'])
if distance < min_distance:
distance_to_body = sum(abs(part[0] - next_position['x']) + abs(part[1] - next_position['y']) for part in body_positions)
if distance < min_distance or (distance == min_distance and distance_to_body < min_distance_to_body):
best_direction = direction
min_distance = distance
return best_direction if best_direction else "up" # Standardbewegung, falls keine sichere Richtung gefunden wird
min_distance_to_body = distance_to_body
return best_direction if best_direction else "up" # Default to moving up if no safe direction found
def find_path_to_food(self, game_data):
my_head = game_data['you']['head']
@@ -71,21 +78,25 @@ class MasterSnake(TemplateSnake):
board_width = game_data['board']['width']
board_height = game_data['board']['height']
# Wähle die nächste Nahrungsquelle basierend auf der Heuristik
closest_food = min(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
# Exclude own snake's body from obstacles
own_snake_body = game_data['you']['body']
obstacles = set((part['x'], part['y']) for part in own_snake_body)
# Verwende A* zur Suche nach einem sicheren Pfad
path = self.a_star_search(my_head, closest_food, snakes, board_width, board_height)
return path
def a_star_search(self, start, goal, snakes, board_width, board_height):
# Konvertiere Schlangenpositionen in ein Set von Hindernissen
obstacles = set()
for snake in snakes:
if snake['id'] != game_data['you']['id']:
for part in snake['body']:
obstacles.add((part['x'], part['y']))
# Hilfsfunktionen
# Choose the closest food source based on the heuristic
closest_food = min(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
# Use A* to search for a safe path
path = self.a_star_search(my_head, closest_food, obstacles, board_width, board_height)
return path
def a_star_search(self, start, goal, obstacles, board_width, board_height):
# Convert snake positions into a set of obstacles
# Helper functions
def is_position_safe(position):
x, y = position
return 0 <= x < board_width and 0 <= y < board_height and position not in obstacles
@@ -97,11 +108,11 @@ class MasterSnake(TemplateSnake):
def heuristic(position, goal):
return abs(position[0] - goal[0]) + abs(position[1] - goal[1])
# Initialisiere Start- und Zielpositionen
# Initialize start and goal positions
start = (start['x'], start['y'])
goal = (goal['x'], goal['y'])
# Initialisiere die offene und geschlossene Liste
# Initialize the open and closed list
open_set = set([start])
came_from = {}
g_score = {start: 0}
@@ -110,17 +121,17 @@ class MasterSnake(TemplateSnake):
while open_set:
current = min(open_set, key=lambda pos: f_score.get(pos, float('inf')))
if current == goal:
# Rekonstruiere den Pfad
# Reconstruct the path
path = []
while current in came_from:
path.append(current)
current = came_from[current]
path.reverse()
return path # Rückgabe des Pfades als Liste von Tupeln
return path # Return the path as a list of tuples
open_set.remove(current)
for neighbor in get_neighbors(current):
tentative_g_score = g_score[current] + 1 # Distanz zwischen Nachbarn ist immer 1
tentative_g_score = g_score[current] + 1 # Distance between neighbors is always 1
if tentative_g_score < g_score.get(neighbor, float('inf')):
came_from[neighbor] = current
g_score[neighbor] = tentative_g_score
+108
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@@ -0,0 +1,108 @@
import unittest
from snakes.MasterSnake import MasterSnake
class TestMasterSnake(unittest.TestCase):
def setUp(self):
self.snake = MasterSnake()
self.game_data = {
"board": {
"height": 11,
"width": 11,
"snakes": [
{
"id": "snake-1",
"body": [
{"x": 0, "y": 0},
{"x": 1, "y": 0},
{"x": 2, "y": 0}
],
"head": {"x": 2, "y": 1},
},
{
"id": "snake-2",
"body": [
{"x": 5, "y": 4},
{"x": 5, "y": 3},
{"x": 6, "y": 3},
{"x": 6, "y": 2}
],
"head": {"x": 6, "y": 3},
}
],
"food": [
{
"x": 2,
"y": 0
},
{
"x": 10,
"y": 8
},
{
"x": 5,
"y": 5
}
],
},
"you": {
"id": "snake-1",
"body": [
{"x": 0, "y": 0},
{"x": 1, "y": 0},
{"x": 2, "y": 0}
],
"head": {"x": 0, "y": 0},
}
}
def test_avoid_snake_body(self):
snakes = self.game_data['board']['snakes']
board_width = self.game_data['board']['width']
board_height = self.game_data['board']['height']
safe_positions = self.snake.avoid_snake_body(snakes, board_width, board_height)
self.assertIsInstance(safe_positions, list)
self.assertTrue(all(isinstance(pos, dict) for pos in safe_positions))
self.assertTrue(all('x' in pos and 'y' in pos for pos in safe_positions))
def test_find_safe_positions(self):
body_positions = {(0, 0), (1, 0), (2, 0), (5, 4), (5, 3), (6, 3), (6, 2)}
safe_positions = self.snake.find_safe_positions(body_positions, 11, 11)
self.assertNotIn({'x': 0, 'y': 0}, safe_positions)
self.assertIn({'x': 10, 'y': 10}, safe_positions)
def test_choose_move(self):
move = self.snake.choose_move(self.game_data)
self.assertIn(move, ["up", "down", "left", "right"])
def test_move_towards_food(self):
head = {'x': 0, 'y': 0}
food = (5, 5)
safe_positions = [{'x': 1, 'y': 0}, {'x': 0, 'y': 1}, {'x': 1, 'y': 1}]
direction = self.snake.move_towards_food(head, food, safe_positions)
self.assertIn(direction, ["up", "down", "left", "right"])
def test_find_path_to_food(self):
path = self.snake.find_path_to_food(self.game_data)
print(path)
self.assertIsInstance(path, list)
self.assertTrue(all(isinstance(pos, dict) for pos in path))
self.assertTrue(all('x' in pos and 'y' in pos for pos in path))
def test_find_direction(self):
head = {'x': 0, 'y': 0}
safe_positions = [{'x': 1, 'y': 0}, {'x': 0, 'y': 1}, {'x': 1, 'y': 1}]
direction = self.snake.find_direction(head, safe_positions)
self.assertIn(direction, ["up", "down", "left", "right"])
def test_avoid_dead_ends(self):
head = {'x': 0, 'y': 0}
move = "right"
board_width = 11
board_height = 11
snakes = self.game_data['board']['snakes']
safe_positions = [{'x': 1, 'y': 0}, {'x': 0, 'y': 1}, {'x': 1, 'y': 1}]
new_move = self.snake.avoid_dead_ends(head, move, safe_positions, board_width, board_height, snakes)
self.assertIn(new_move, ["up", "down", "left", "right"])
if __name__ == '__main__':
unittest.main()