def get_exit_paths(instance):
start, finish = instance.level.botSpawnAreas[instance.game.enemyTeam.name]
enemy_base = Vector2(start.x, start.y)
instance.graph.add_node("enemy_base", position = (start.x, start.y), weight = 0.0)
instance.graph.node["enemy_base"]["exit_path"] = 0.0
instance.graph.node["enemy_base"]["camp_target"] = 0.0
instance.graph.node["enemy_base"]["camp_location"] = 0.0
for i, j in itertools.product(range(int(start.x), int(finish.x)), range(int(start.y), int(finish.y))):
instance.graph.add_edge("enemy_base", instance.terrain[j][i], weight = 1.0)
our_flag_node = regressions2.get_node_index(instance, instance.game.team.flag.position)
enemy_score_node = regressions2.get_node_index(instance, instance.game.enemyTeam.flagScoreLocation)
enemy_flag_node = regressions2.get_node_index(instance, instance.game.enemyTeam.flag.position)
our_score_node = regressions2.get_node_index(instance, instance.game.team.flagScoreLocation)
b_to_flag = nx.shortest_path(instance.graph, source="enemy_base", target = our_flag_node)
b_to_def = nx.shortest_path(instance.graph, source="enemy_base", target = enemy_flag_node)
b_to_def2 = nx.shortest_path(instance.graph, source="enemy_base", target = our_score_node)
#Calculate how the enemy is exiting from their base.
exit_paths = [(b_to_flag, 10), (b_to_def, 6), (b_to_def2, 2)]
for x in range(50):
position = instance.level.findRandomFreePositionInBox(instance.level.area)
base_seperation = position - enemy_base
base_seperation = base_seperation*15/base_seperation.length()
close_pos = enemy_base + base_seperation
x, y = regressions2.sanitize_position(instance, close_pos)
close_pos = Vector2(x, y)
node_index = regressions2.get_node_index(instance, close_pos)
path = nx.shortest_path(instance.graph, source="enemy_base", target = node_index)
exit_paths.append((path, 4))
return exit_paths
def extrapolate(instance):
points = []
bot_extraps = {}
for enemy_bot in instance.enemies.keys():
if enemy_bot.health > 0.0:
#Get enemy heading.
extrapolation = enemy_bot.position - instance.enemies[enemy_bot]
#If we have no new data on enemy location, assume they are heading in direction of flag.
#TODO account for pin bots, hunt bots, and defend bots.
#TODO account for probable pathing... pheremone?
if extrapolation.length() == 0.0:
extrapolation = instance.game.team.flag.position - enemy_bot.position
if extrapolation.length() == 0.0:
extrapolation = instance.game.enemyTeam.flagScoreLocation - enemy_bot.position
extrapolation.normalize()
#Calculate point enemy should have ran to. TODO make realistic with level speed.
#TODO use visualizer to simultaneously show with visualization via circle drawings.
enemy_speed = get_enemy_bot_speed(instance, enemy_bot)*.8 #.8 because not straight running lines.
#Resolve points going off map by having the bot calculated as at map edge.
if extrapolation.x > enemy_bot.position.x:
x_bound = 87
else:
x_bound = 2
if extrapolation.y > enemy_bot.position.y:
y_bound = 49
else:
y_bound = 2
if enemy_bot.seenlast != None:
extrapolated_change = extrapolation * enemy_speed * (enemy_bot.seenlast + 1.5)
else:
extrapolated_change = extrapolation * enemy_speed * 1.5
if extrapolated_change.x > abs(enemy_bot.position.x - x_bound):
extrapolated_change.x = x_bound
if extrapolated_change.y > abs(enemy_bot.position.y - y_bound):
extrapolated_change.y = y_bound
final_position = enemy_bot.position + extrapolated_change
x, y = regressions2.sanitize_position(instance, final_position)
final_position = Vector2(x, y)
node_index = regressions2.get_node_index(instance, final_position)
vector = regressions2.get_node_vector(instance, node_index)
points.append(vector)
bot_extraps[enemy_bot] = vector
if instance.DRAW_POINTS == "extrap":
instance.points = points
return bot_extraps
def get_exit_paths(instance):
start, finish = instance.level.botSpawnAreas[instance.game.enemyTeam.name]
enemy_base = Vector2(start.x, start.y)
instance.graph.add_node("enemy_base",
position=(start.x, start.y),
weight=0.0)
instance.graph.node["enemy_base"]["exit_path"] = 0.0
instance.graph.node["enemy_base"]["camp_target"] = 0.0
instance.graph.node["enemy_base"]["camp_location"] = 0.0
for i, j in itertools.product(range(int(start.x), int(finish.x)),
range(int(start.y), int(finish.y))):
instance.graph.add_edge("enemy_base",
instance.terrain[j][i],
weight=1.0)
our_flag_node = regressions2.get_node_index(
instance, instance.game.team.flag.position)
enemy_score_node = regressions2.get_node_index(
instance, instance.game.enemyTeam.flagScoreLocation)
enemy_flag_node = regressions2.get_node_index(
instance, instance.game.enemyTeam.flag.position)
our_score_node = regressions2.get_node_index(
instance, instance.game.team.flagScoreLocation)
b_to_flag = nx.shortest_path(instance.graph,
source="enemy_base",
target=our_flag_node)
b_to_def = nx.shortest_path(instance.graph,
source="enemy_base",
target=enemy_flag_node)
b_to_def2 = nx.shortest_path(instance.graph,
source="enemy_base",
target=our_score_node)
#Calculate how the enemy is exiting from their base.
exit_paths = [(b_to_flag, 10), (b_to_def, 6), (b_to_def2, 2)]
for x in range(50):
position = instance.level.findRandomFreePositionInBox(
instance.level.area)
base_seperation = position - enemy_base
base_seperation = base_seperation * 15 / base_seperation.length()
close_pos = enemy_base + base_seperation
x, y = regressions2.sanitize_position(instance, close_pos)
close_pos = Vector2(x, y)
node_index = regressions2.get_node_index(instance, close_pos)
path = nx.shortest_path(instance.graph,
source="enemy_base",
target=node_index)
exit_paths.append((path, 4))
return exit_paths
