def test_pypaths():
finder = astar.pathfinder(cost=get_cost)
p = finder(
(0, 9), (9, 0)
)
print(p)
finder = astar.pathfinder()
p = finder(
(0, 9), (9, 0)
)
print(p)
def compute_length(data, dest=(31, 39)):
finder = astar.pathfinder(neighbors=CubicleMap(
data)) # Calculate the list of neighbors for a given node
length, path = finder((1, 1), dest)
return length
def get_distances(ds):
two_points_paths = ds.get_locations_permutations()
distances = {}
for two_points_path in two_points_paths:
finder = astar.pathfinder(neighbors=ds.get_neighbors)
length, path = finder(ds.locations[two_points_path[0]], ds.locations[two_points_path[1]])
distances[two_points_path] = length
return distances
def a_star(board, start, finish):
start_x, start_y = start
finish_x, finish_y = finish
finder = astar.pathfinder(neighbors=get_neighbours_builder(board),
cost=costConstructor(board))
path = finder((start_x, start_y), (finish_x, finish_y))
return path
def move_towards_target(self, target_x, target_y):
""" Move towards the given target co-ordinates
Args:
target_x (int): The x position of the target
target_y (int): The y position of the target
"""
finder = astar.pathfinder()
path = finder((self.player.x, self.player.y), (target_x, target_y))
self.player.move(path[1][1][0], path[1][1][1])
def _get_astar_pathfinder(self):
# Used by the astar algorithm to evaluate node costs
def cost_func(node1, node2):
return self.get_cost(node1, node2)
# Used by the astar algorithm to evaluate path nodes
def neighbors_func(node):
return self.get_valid_neighbors(node)
# Create the astar path finder
return astar.pathfinder(neighbors=neighbors_func, cost=cost_func)
def compute2(data):
neighbors = defaultdict(list)
for l in data.strip().splitlines():
obj, sat = l.split(')')
neighbors[obj].append(sat)
neighbors[sat].append(obj)
finder = astar.pathfinder(neighbors=lambda c: neighbors[c],
distance=lambda *_: 1,
cost=astar.fixed_cost(1))
length, path = finder('YOU', 'SAN')
return length - 2
def move(self):
start = self.pos
def reading_order_cost(current, neighbor):
if current == start:
try:
if current.direction_to(neighbor) == Directions.UP:
return 1
elif current.direction_to(neighbor) == Directions.LEFT:
return 2
elif current.direction_to(neighbor) == Directions.RIGHT:
return 3
elif current.direction_to(neighbor) == Directions.DOWN:
return 4
except ValueError:
pass
return 10
targets = []
has_an_enemy = False
for fighter in self.game.fighters:
if fighter.team != self.team:
has_an_enemy = True
def get_free_neighbors(point):
for neighbor in self.game.get_neighbors(point):
if neighbor == fighter.pos or self.game.grid[
neighbor.tuple()] is None:
yield neighbor
find_path = astar.pathfinder(
neighbors=get_free_neighbors,
distance=lambda start, end: start.manhattan_dist(end),
cost=reading_order_cost)
length, path = find_path(self.pos, fighter.pos)
if length is not None:
targets.append((length, path))
if len(targets) > 0:
targets = sorted(targets)
length, path = targets[0]
self.game.move(self, path[1])
if not has_an_enemy:
raise NoMoreEnemies
return True
def init_astar(self):
"""Initialize a-star resources so that it doesn't have to calculated for each robot.
Initialized in such a way that:
* A diagonal paths are allowed.
* The path calculated takes into account all obstacles in the grid.
"""
def get_empty_neighborhood(pos):
"""A sub function to calculate empty neighbors of a point for a-star."""
neighbors = self.grid.get_neighborhood(pos=pos, moore=True)
return [n for n in neighbors if self.grid.is_cell_empty(n)]
# Initialize a path finder object once for the entire factory.
self.path_finder = astar.pathfinder(neighbors=get_empty_neighborhood,
distance=astar.absolute_distance,
cost=astar.fixed_cost(1))
def get_food_options(self):
path_finder = astar.pathfinder(neighbors=self.get_neighbors)
my_head = self.world_state.me.body[0]
def get_path_to_food():
# Calculate the path to each piece of food on the map
food_paths = map(lambda food: path_finder(my_head, food),
self.world_state.food)
# remove dead paths
valid_path = filter(lambda path: path[0] is not None, food_paths)
if len(valid_path) == 0:
return None
# All we care about is how long is this path and
# what is my first step on it
# Notice we are not passing the first point returned, that is the head of our snake
return map(
lambda path: FoodOption(distance=path[0],
first_step=path[1][1]), valid_path)
def get_random_path():
while True:
x = random.randint(0, self.world_state.map_width - 1)
y = random.randint(0, self.world_state.map_height - 1)
new_path = path_finder(my_head, (x, y))
if new_path[0] is not None:
return new_path
print "Testing new random path"
food_optins = get_path_to_food()
if food_optins is None:
new_path = get_random_path()
return [
FoodOption(distance=new_path[0], first_step=new_path[1][1])
]
return food_optins
def _add_weighted_predator_actions(self, predator_pos, prey_pos,
weighted_actions):
# Only when the distance is within the partially observable range
if not self._is_distance_in_po(predator_pos, prey_pos):
return
finder = astar.pathfinder(distance=astar.absolute_distance,
cost=self._pathfinder_weighted_cost(),
neighbors=self._pathfinder_grid_neighbors())
# Find the shortest path
cost, path = finder(tuple(predator_pos), tuple(prey_pos))
# Get the next position in the path
if len(path) > 1:
next_pos = path[1]
else:
next_pos = path[0]
# Get the action that leads to the next position
action_index = self._get_pos_action(predator_pos, next_pos)
# Add the weighted action
weighted_actions[action_index] += 1 / (cost + 1)
def solve(self) -> list:
search = astar.pathfinder(self.neighbors, self.distance, self.cost)
return search((self.sy, self.sx), (self.ey, self.ex))
def shortest_path_astar(self, start, goal):
from pypaths import astar
finder = astar.pathfinder(cost=manhattan_dist,
neighbors=self.getNeighbours)
result = finder(start, goal)
return result
def move():
data = dict(bottle.request.json)
width = data['width']
height = data['height']
grid = [[0 for x in range(width)] for y in range(height)]
snakes = data['snakes']['data']
food = [ptoc(x) for x in data['food']['data']]
snake = data['you']
# Add this snake to grid
for idx, point in enumerate(snake['body']['data']):
x = point['x']
y = point['y']
if grid[x][y] != 0:
# Stops snake bodies from overwriting heads at the beginning
continue
# If this is the forst coordinate, it's the head
if idx == 0:
grid[x][y] = YOU_HEAD
else:
grid[x][y] = YOU_BODY
# Add other snakes to grid
for s in snakes:
# Skip snake if dead
if(s['health'] < 1):
continue
for idx, point in enumerate(s['body']['data']):
x = point['x']
y = point['y']
if grid[x][y] != 0:
# Stops snake bodies from overwriting heads at the beginning
continue
# If this is the forst coordinate, it's the head
if idx == 0:
grid[x][y] = SNAKE_HEAD
else:
grid[x][y] = SNAKE_BODY
for c in food:
x, y = c
grid[x][y] = FOOD
head = ptoc(snake['body']['data'][0])
# Simple macros for each direction
c_north = [head[0], head[1] - 1]
c_south = [head[0], head[1] + 1]
c_east = [head[0] + 1, head[1]]
c_west = [head[0] - 1, head[1]]
def find_neighbours(coord):
x, y = coord
neighbors = []
if coords_safe([x-1, y], width, height, grid):
neighbors.append((x-1, y))
if coords_safe([x, y-1], width, height, grid):
neighbors.append((x, y-1))
if coords_safe([x+1, y], width, height, grid):
neighbors.append((x+1, y))
if coords_safe([x, y+1], width, height, grid):
neighbors.append((x, y+1))
return neighbors
finder = astar.pathfinder(neighbors=find_neighbours)
# Find nearest food
closest_food = None
for f in food:
# Skip food if it's too close to the wall, unless we're desperate
if(snake['health'] >= HEALTH_CUTOFF and (
f[0] == 0 or
f[0] == width - 1 or
f[1] == 0 or
f[1] == height - 1)):
continue
p = finder((head[0], head[1]), (f[0], f[1]))
# Skip if no path to food
if(p[0] is None):
continue
# Update best path if this path is better
if(p and (closest_food is None or p[0] < len(closest_food))):
closest_food = p[1]
path = closest_food
direction = ""
if(path is not None and len(path) > 1):
next_coord = path[1]
if next_coord[1] < head[1]:
direction = "up"
elif next_coord[1] > head[1]:
direction = "down"
elif next_coord[0] > head[0]:
direction = "right"
else:
direction = "left"
# Fallback to safe execution
if(not direction):
if coords_safe(c_north, width, height, grid):
direction = "up"
elif coords_safe(c_south, width, height, grid):
direction = "down"
elif coords_safe(c_east, width, height, grid):
direction = "right"
else:
direction = "left"
result = {
'move': direction,
'taunt': random.choice(TAUNTS)
}
return result
def _generate_routes(self):
self.paths.clear()
self.route_elements.clear()
edge_tiles = list(
set([
x for x in self.tiles
if x[0] == 0 or x[0] == self.tile_count - 1 or x[1] == 0
]))
generate_count = random.randint(self.min_route_count,
self.max_route_count)
start_tiles = random.sample(edge_tiles, generate_count)
tile_pairs = []
for start_tile in start_tiles:
end_tile = random.choice([
x for x in edge_tiles
if x != start_tile and x[0] != start_tile[0]
and not (x[1] == 0 and start_tile[1] == 0) and
abs(x[0] - start_tile[0]) > 3 and abs(x[1] - start_tile[1]) > 3
])
tile_pairs.append((start_tile, end_tile))
for start, end in tile_pairs:
while True:
self.enabled_tiles = \
[x for x in random.sample(self.tiles, len(self.tiles)) if x == start or x == end or random.uniform(0, 1) > 0.3]
finder = astar.pathfinder(neighbors=self._neighbors)
path = finder(start, end)[1]
if not path:
continue
if start[0] == 0:
actual_start = (start[0] - 1, start[1])
elif start[0] == self.tile_count - 1:
actual_start = (start[0] + 1, start[1])
else:
actual_start = (start[0], start[1] - 1)
path.insert(0, actual_start)
if end[0] == 0:
actual_end = (end[0] - 1, end[1])
elif end[0] == self.tile_count - 1:
actual_end = (end[0] + 1, end[1])
else:
actual_end = (end[0], end[1] - 1)
path.append(actual_end)
self.paths.append(path)
break
for i, path in enumerate(self.paths):
group_element = etree.Element('objectgroup')
group_element.attrib['name'] = 'route{0:02d}'.format(i)
id_element = etree.Element('property')
id_element.attrib['name'] = 'id'
id_element.attrib['value'] = str(i)
properties_element = etree.Element('properties')
properties_element.append(id_element)
group_element.append(properties_element)
tmp_path = []
for index, waypoint in enumerate(path):
if index == 0:
tmp_path.append(waypoint)
elif index >= len(path) - 1:
tmp_path.append(waypoint)
else:
c = path[index]
p = path[index - 1]
n = path[index + 1]
if p[0] == c[0] and c[0] == n[0] or p[1] == c[1] and c[
1] == n[1]:
continue
tmp_path.append(waypoint)
for index, waypoint in enumerate(tmp_path):
object_element = etree.Element('object')
object_element.attrib['id'] = str(self.id)
object_element.attrib['name'] = str(index)
object_element.attrib['x'] = str(waypoint[0] * self.tile_size +
self.tile_size / 2)
object_element.attrib['y'] = str(waypoint[1] * self.tile_size +
self.tile_size / 2)
index_element = etree.Element('property')
index_element.attrib['name'] = 'index'
index_element.attrib['value'] = str(index)
properties_element = etree.Element('properties')
properties_element.append(index_element)
point_element = etree.Element('point')
object_element.append(properties_element)
object_element.append(point_element)
group_element.append(object_element)
self.id += 1
self.route_elements.append(group_element)
def move():
data = bottle.request.json
snakes = data['board']['snakes']
food = data['board']['food']
height = data['board']['height']
width = data['board']['width']
health = data["you"]['health']
grid = [[0 for x in range(width)] for y in range(height)]
snake = []
nearestfood = {'dist': -1, 'x': 0, 'y': 0}
for i in snakes:
snake.append(i['body'])
"""
TODO: Using the data from the endpoint request object, your
snake AI must choose a direction to move in.
"""
#print(snakes)
#print(json.dumps(data))
directions = ['up', 'down', 'left', 'right']
#direction = random.choice(directions)
for s in snakes:
you = False
if s['id'] == data['you']['id']:
you = True
for idx, val in enumerate(s['body']):
x = val['x']
y = val['y']
if grid[x][y] != 0:
continue # Stops snake bodies from overwriting heads at the beginning
# If this is the first coordinate, it's the head
if idx == 0:
if you is True:
grid[x][y] = 11
else:
grid[x][y] = 21
try:
grid[x + 1][y] = 21
except IndexError:
pass
try:
grid[x][y + 1] = 21
except IndexError:
pass
try:
grid[x - 1][y] = 21
except IndexError:
pass
try:
grid[x][y - 1] = 21
except IndexError:
pass
elif idx == (len(data['you']['body']) - 1):
if you is True:
grid[x][y] = 12
else:
grid[x][y] = 22
else:
if you is True:
grid[x][y] = 10
else:
grid[x][y] = 20
head = data['you']['body'][0]
for coords in food:
x = coords['x']
y = coords['y']
grid[x][y] = 2
hx = abs(head['x'] - x)
hy = abs(head['y'] - y)
xy = hx + hy
if nearestfood['dist'] > xy or nearestfood['dist'] is -1:
nearestfood['dist'] = xy
nearestfood['x'] = x
nearestfood['y'] = y
print("closest food: " + str(nearestfood))
print(data['turn'])
# Simple macros for each direction
c_north = [head['x'], head['y'] - 1]
c_south = [head['x'], head['y'] + 1]
c_east = [head['x'] + 1, head['y']]
c_west = [head['x'] - 1, head['y']]
#Check if a given coordiante is safe
def coords_safe(coords):
x, y = coords
if x < 0 or x > width - 1:
return False # Check if coordinate is inside horizontal bounds
if y < 0 or y > height - 1:
return False # Check if coordinate is inside vertical bounds
if grid[x][y] not in [0, 2, 12]:
return False # Check if coordinate matches a snake body
return True
def find_neighbours(coords):
x, y = coords
neighbors = []
if coords_safe([x - 1, y]):
neighbors.append((x - 1, y))
if coords_safe([x, y - 1]):
neighbors.append((x, y - 1))
if coords_safe([x + 1, y]):
neighbors.append((x + 1, y))
if coords_safe([x, y + 1]):
neighbors.append((x, y + 1))
return neighbors
tail = data['you']['body'][-1]
if health < 70:
finder = astar.pathfinder(neighbors=find_neighbours)
path = finder((head['x'], head['y']),
(nearestfood['x'], nearestfood['y']))[1]
else:
finder = astar.pathfinder(neighbors=find_neighbours)
path = finder((head['x'], head['y']), (tail['x'], tail['y']))[1]
if len(path) < 2:
finder = astar.pathfinder(neighbors=find_neighbours)
path = finder((head['x'], head['y']), (tail['x'], tail['y']))[1]
if len(path) < 2:
if coords_safe(c_north):
direction = "up"
elif coords_safe(c_south):
direction = "down"
elif coords_safe(c_east):
direction = "right"
else:
direction = "left"
else:
next_coord = path[1]
if next_coord[1] < head['y']:
direction = "up"
elif next_coord[1] > head['y']:
direction = "down"
elif next_coord[0] > head['x']:
direction = "right"
else:
direction = "left"
else:
next_coord = path[1]
if next_coord[1] < head['y']:
direction = "up"
elif next_coord[1] > head['y']:
direction = "down"
elif next_coord[0] > head['x']:
direction = "right"
else:
direction = "left"
print(direction)
return move_response(direction)