def avoidance_explore(self, my_ant, enemy_ants):
'explore under enemies presence'
score, distance = battle.eval_formation(self.gamestate, [my_ant], enemy_ants)
if score < 1:
# be safer is more enemies are around
safe_distance = self.gamestate.euclidean_distance_add(self.gamestate.attackradius2, 1)
else:
# don't initiate 1 on 1 change, but don't be afraid
safe_distance = self.gamestate.attackradius2
nav_info = []
for loc in self.gamestate.passable_neighbours(my_ant) + [my_ant]:
influence = self.strat_influence.map[loc]
distance = min([self.gamestate.euclidean_distance2(loc, enemy_ant) for enemy_ant in enemy_ants])
nav_info.append((influence, distance, loc))
# go for lowest influence that's safe
nav_info.sort()
best_loc = None
for info in nav_info:
(influence, distance, loc) = info
if distance > safe_distance:
best_loc = loc
break
# if no safe move try largest distance
if best_loc is None:
(influence, distance, loc) = sorted(nav_info, key=lambda x: x[1], reverse=True)[0]
best_loc = loc
# do the move
directions = self.gamestate.direction(my_ant, best_loc) + [None]
self.gamestate.issue_order((my_ant, directions[0]))
logging.debug('moving %s' % str((my_ant, directions[0])))
def test_eval_formation_4(self):
"""
11
0
"""
pair = ([(3, 2)], [(0, 1), (0, 2)])
score, distance = battle_line.eval_formation(self.gamestate, pair[0], pair[1])
self.assertEqual(score, 0.5)
self.assertEqual(distance, 9)
def test_eval_formation_1(self):
"""
1
0 0
"""
pair = ([(2, 0), (2, 2)], [(0, 1)])
score, distance = battle_line.eval_formation(self.gamestate, pair[0], pair[1])
self.assertEqual(score, 2.0)
self.assertEqual(distance, 5)
def test_eval_formation_5(self):
"""
0123456
1
1
0
"""
pair = ([(3, 3)], [(0, 2), (1, 1)])
score, distance = battle_line.eval_formation(self.gamestate, pair[0], pair[1])
self.assertEqual(score, 0.5)
self.assertEqual(distance, 8)
