def act(self, game):
all_locs = {(x, y) for x in xrange(19) for y in xrange(19)}
spawn = {loc for loc in all_locs if 'spawn' in rg.loc_types(loc)}
obstacle = {loc for loc in all_locs if 'obstacle' in rg.loc_types(loc)}
team = {loc for loc in game.robots if game.robots[loc].player_id == self.player_id}
enemy = set(game.robots) - team
adjacent = set(rg.locs_around(self.location)) - obstacle
adjacent_enemy = adjacent & enemy
adjacent_enemy2 = {loc for loc in adjacent if (set(rg.locs_around(loc)) & enemy)} - team
safe = adjacent - adjacent_enemy - adjacent_enemy2 - spawn - team
def mindist(bots, loc):
return min(bots, key=lambda x: rg.dist(x, loc))
if enemy:
closest_enemy = mindist(enemy, self.location)
else
closest_enemy = rg.CENTER_POINT
move = ['guard']
if self.location in spawn:
if safe:
move = ['move', mindist(safe, rg.CENTER_POINT)]
elif adjacent_enemy:
if 9 * len(adjacent_enemy) >= self.hp:
if safe:
move = ['move', mindist(safe, rg.CENTER_POINT)]
else:
move = ['attack', adjacent_enemy.pop()]
elif adjacent_enemy2:
move = ['attack', adjacent_enemy2.pop()]
elif safe:
move = ['move', mindist(safe, closest_enemy)]
def locs_around_55(loc): xc,yc = loc for x in xrange(xc-2,xc+3): for y in xrange(yc-2,yc+3): typ = rg.loc_types((x,y)) if "invalid" not in typ and "obstacle" not in typ: yield (x,y)
def sense_environment(self, game): xc, yc = self.location features = np.zeros((Robot.inputs,1)) i = 0 for x in xrange(xc - Robot.halfwidth, xc + Robot.halfwidth + 1): for y in xrange(yc - Robot.halfwidth, yc + Robot.halfwidth + 1): bot = game.robots.get((x,y)) if bot == None: features[(i, 0)] = 0.0 features[(i+1, 0)] = 0.0 else: features[(i, 0)] = bot['hp'] / float(rg.settings.robot_hp) if bot['player_id'] == self.player_id else 0.0 features[(i+1, 0)] = bot['hp'] / float(rg.settings.robot_hp) if bot['player_id'] != self.player_id else 0.0 features[(i+2, 0)] = 1.0 if 'spawn' in rg.loc_types((x,y)) else 0.0 features[(i+3, 0)] = 1.0 if 'obstacle' in rg.loc_types((x,y)) else 0.0 i += 4 return features
def genSafePlace(self): #, r=True):
#########################################################################
#Metoda losuje pozycję do 'obrony', do której roboty będą się poruszały;
#########################################################################
while True:
values.safeSpace = (randint(X['min'],
X['max']), randint(Y['min'], Y['max']))
if 'normal' in rg.loc_types(values.safeSpace):
break
def __init__(self):
while True:
x = random.randint(*self.RALLY_RANGE)
y = random.randint(*self.RALLY_RANGE)
locations = rg.loc_types((x, y))
target = set(['normal'])
if locations != target:
continue
else:
self.RALLY_POINT = x, y
break
def _spawn_test(location):
"""test input location is at spawn place or not
Args:
location (tuple): location of the map
Returns:
bool: True if the place is a spawnplace
False if not
"""
spot = rg.loc_types(location)
if ("spawn") in spot:
return True
else:
return False
def test_types_spawn(self):
self.assertEqual(rg.loc_types((3, 4)), set(['normal', 'spawn']))
def test_types_invalid(self):
self.assertEqual(rg.loc_types((-1, 9)), set(['invalid']))
def evaluate(self, game, robot, ally_fut, attack_fut):
"""Recursive evaluation of this Node and it's children given game state."""
result = False
dir_result = self.direction
# First handle this node's expression
if self.type == "SPAWN":
if self.comp_op == "LT" and self.turns_since_spawn > (
game['turn'] % 10):
result = True
elif self.comp_op == "GT" and self.turns_since_spawn < (
game['turn'] % 10):
result = True
elif self.type == "HP":
if self.comp_op == "LT" and robot.hp < self.hp:
result = True
elif self.comp_op == "GT" and robot.hp > self.hp:
result = True
elif self.type == "RLOC":
true_loc = (robot.location[0] + self.rloc[0],
robot.location[1] + self.rloc[1])
bots = game.get('robots')
check_hp = False
hp_to_check = 0
if self.rloc_type == "ENEMY":
if true_loc in bots.keys():
bot = bots[true_loc]
if bot.player_id != robot.player_id:
check_hp = True
hp_to_check = bot.hp
elif self.rloc_type == "SPAWN":
if 'spawn' in rg.loc_types(true_loc):
result = True
elif self.rloc_type == "INVALID":
if any(x in rg.loc_types(true_loc)
for x in ['obstacle', 'invalid']):
result = True
elif self.rloc_type == "EMPTY":
if not any(x in rg.loc_types(true_loc)
for x in ['obstacle', 'invalid']):
if true_loc not in bots.keys():
result = True
elif self.rloc_type == "ALLY":
if true_loc in bots.keys():
bot = bots[true_loc]
if bot.player_id == robot.player_id:
check_hp = True
hp_to_check = bot.hp
elif self.rloc_type == "ALLY_FUT":
if not any(x in rg.loc_types(true_loc)
for x in ['obstacle', 'invalid']):
hp_to_check = ally_fut[true_loc[0]][true_loc[1]]
if hp_to_check > 0:
check_hp = True
elif self.rloc_type == "ATT_FUT":
if not any(x in rg.loc_types(true_loc)
for x in ['obstacle', 'invalid']):
result = (attack_fut[true_loc[0]][true_loc[1]] > 0)
if check_hp:
if self.comp_op == "LT" and hp_to_check < self.hp:
result = True
elif self.comp_op == "GT" and hp_to_check > self.hp:
result = True
if self.not_op:
result = not result
# Now check children Nodes
# Precedence of True evalutations:
# True OR child > True AND children + True self > No AND children + True self
# Direction is set by the "lowest in the tree" True node of the highest
# precedence condition. For example, a True node with all True AND
# children and two True OR children will use the direction of the first True
# OR child. Assuming non-contradictory Node expressions, this should allow
# every Node to determine the direction in at least one game state.
and_still_possible = True
for child in self.children:
ch_result = child.evaluate(game, robot, ally_fut, attack_fut)
if result and (child.op == "AND"):
and_still_possible = (and_still_possible and ch_result[0])
dir_result = ch_result[1]
if child.op == "OR" and ch_result[0]:
return ch_result
return ((result and and_still_possible), dir_result)
def evaluate(self, game, robot, ally_fut, attack_fut):
"""Recursive evaluation of this Node and it's children given game state."""
result = False
dir_result = self.direction
# First handle this node's expression
if self.type == "SPAWN":
if self.comp_op == "LT" and self.turns_since_spawn > (game['turn'] % 10):
result = True
elif self.comp_op == "GT" and self.turns_since_spawn < (game['turn'] % 10):
result = True
elif self.type == "HP":
if self.comp_op == "LT" and robot.hp < self.hp:
result = True
elif self.comp_op == "GT" and robot.hp > self.hp:
result = True
elif self.type == "RLOC":
true_loc = (robot.location[0] + self.rloc[0], robot.location[1] + self.rloc[1])
bots = game.get('robots')
check_hp = False
hp_to_check = 0
if self.rloc_type == "ENEMY":
if true_loc in bots.keys():
bot = bots[true_loc]
if bot.player_id != robot.player_id:
check_hp = True
hp_to_check = bot.hp
elif self.rloc_type == "SPAWN":
if 'spawn' in rg.loc_types(true_loc):
result = True
elif self.rloc_type == "INVALID":
if any(x in rg.loc_types(true_loc) for x in ['obstacle', 'invalid']):
result = True
elif self.rloc_type == "EMPTY":
if not any(x in rg.loc_types(true_loc) for x in ['obstacle', 'invalid']):
if true_loc not in bots.keys():
result = True
elif self.rloc_type == "ALLY":
if true_loc in bots.keys():
bot = bots[true_loc]
if bot.player_id == robot.player_id:
check_hp = True
hp_to_check = bot.hp
elif self.rloc_type == "ALLY_FUT":
if not any(x in rg.loc_types(true_loc) for x in ['obstacle', 'invalid']):
hp_to_check = ally_fut[true_loc[0]][true_loc[1]]
if hp_to_check > 0:
check_hp = True
elif self.rloc_type == "ATT_FUT":
if not any(x in rg.loc_types(true_loc) for x in ['obstacle', 'invalid']):
result = (attack_fut[true_loc[0]][true_loc[1]] > 0)
if check_hp:
if self.comp_op == "LT" and hp_to_check < self.hp:
result = True
elif self.comp_op == "GT" and hp_to_check > self.hp:
result = True
if self.not_op:
result = not result
# Now check children Nodes
# Precedence of True evalutations:
# True OR child > True AND children + True self > No AND children + True self
# Direction is set by the "lowest in the tree" True node of the highest
# precedence condition. For example, a True node with all True AND
# children and two True OR children will use the direction of the first True
# OR child. Assuming non-contradictory Node expressions, this should allow
# every Node to determine the direction in at least one game state.
and_still_possible = True
for child in self.children:
ch_result = child.evaluate(game, robot, ally_fut, attack_fut)
if result and (child.op == "AND"):
and_still_possible = (and_still_possible and ch_result[0])
dir_result = ch_result[1]
if child.op == "OR" and ch_result[0]:
return ch_result
return ((result and and_still_possible), dir_result)
def test_types_normal(self):
self.assertEqual(rg.loc_types((7, 2)), set(['normal']))
def test_types_obstacle(self):
self.assertEqual(rg.loc_types((16, 4)), set(['normal', 'obstacle']))
def test_types_spawn(self):
self.assertEqual(rg.loc_types((3, 4)), set(['normal', 'spawn']))
def test_types_invalid(self):
self.assertEqual(rg.loc_types((-1, 9)), set(['invalid']))
def test_types_obstacle(self):
self.assertEqual(rg.loc_types((16, 4)), set(['normal', 'obstacle']))
def test_types_normal(self):
self.assertEqual(rg.loc_types((7, 2)), set(['normal']))
def action_is_valid(act):
if len(act) > 1 and ("invalid" in rg.loc_types(act[1]) or "obstacle" in rg.loc_types(act[1])):
return False
return True