def update_friendly_sight(instance):
#Turn all cells currently seen by team to friendly_sight = True in graph.
for bot in instance.game.team.members:
if bot.health > 0.0:
nodes = regressions2.one_bot_sees(instance, bot)
for node_index in nodes:
instance.graph.node[node_index]["friendly_sight"] = True
def update_friendly_sight(instance):
#Turn all cells currently seen by team to friendly_sight = True in graph.
for bot in instance.game.team.members:
if bot.health > 0:
nodes = regressions2.one_bot_sees(instance, bot)
for node_index in nodes:
instance.graph.node[node_index]["friendly_sight"] = True
def assign_single_node_fs_density(instance, source_node_id, enemy_bot):
bot_position = regressions2.get_node_vector(instance, source_node_id)
direction = get_direction(instance, enemy_bot)
#If the bot is definitely dead (IE hasn't respawned etc...) don't bother filling in data about it.
#Get direction returns a direction for just starting bots.
if direction == None:
return
#Get all nodes visible to the hypothetical enemy bot, assign scores to them based on enemy sight and enemy firing capability.
simulated_bot = {"position": bot_position, "direction": direction}
visible_nodes = regressions2.one_bot_sees(instance, enemy_bot,
simulated_bot)
#TODO
for node_index in visible_nodes:
node_position = regressions2.get_node_vector(instance, node_index)
#We care if about what probability the enemy is at the source node being evaluated.
p_enemy = instance.graph.node[source_node_id]["p_enemy"]
p_sight = instance.graph.node[node_index]["p_enemy_sight"]
p_fire = instance.graph.node[node_index]["p_enemy_fire"]
#TODO make fn to DRY this. #@FIRING
#We purposefully overestimate their shooting range to have bots play cautiously.
#We are also estimating at time of, which leaves lots of time for commands, hence the cone is not accurate.
if (node_position -
bot_position).length() < instance.level.firingDistance + 6:
if p_fire == 0.0:
instance.graph.node[node_index]["p_enemy_fire"] = p_enemy
else:
p_not_prior_fire = 1.0 - p_fire
p_not_current_fire = 1.0 - p_enemy
p_neither = p_not_prior_fire * p_not_current_fire
final_prob_fire = 1.0 - p_neither
instance.graph.node[node_index][
"p_enemy_fire"] = final_prob_fire
if p_sight == 0.0:
instance.graph.node[node_index]["p_enemy_sight"] = p_enemy
else:
p_not_prior_sight = 1.0 - p_sight
p_not_current_sight = 1.0 - p_enemy
p_neither = p_not_prior_sight * p_not_current_sight
final_prob_sight = 1.0 - p_neither
instance.graph.node[node_index]["p_enemy_sight"] = final_prob_sight
def assign_single_node_fs_density(instance, source_node_id, enemy_bot):
bot_position = regressions2.get_node_vector(instance, source_node_id)
direction = get_direction(instance, enemy_bot)
#If the bot is definitely dead (IE hasn't respawned etc...) don't bother filling in data about it.
#Get direction returns a direction for just starting bots.
if direction == None:
return
#Get all nodes visible to the hypothetical enemy bot, assign scores to them based on enemy sight and enemy firing capability.
simulated_bot = {"position": bot_position, "direction" : direction}
visible_nodes = regressions2.one_bot_sees(instance, enemy_bot, simulated_bot)
#TODO
for node_index in visible_nodes:
node_position = regressions2.get_node_vector(instance, node_index)
#We care if about what probability the enemy is at the source node being evaluated.
p_enemy = instance.graph.node[source_node_id]["p_enemy"]
p_sight = instance.graph.node[node_index]["p_enemy_sight"]
p_fire = instance.graph.node[node_index]["p_enemy_fire"]
#TODO make fn to DRY this. #@FIRING
#We purposefully overestimate their shooting range to have bots play cautiously.
#We are also estimating at time of, which leaves lots of time for commands, hence the cone is not accurate.
if (node_position - bot_position).length() < instance.level.firingDistance + 6:
if p_fire == 0.0:
instance.graph.node[node_index]["p_enemy_fire"] = p_enemy
else:
p_not_prior_fire = 1.0 - p_fire
p_not_current_fire = 1.0 - p_enemy
p_neither = p_not_prior_fire * p_not_current_fire
final_prob_fire = 1.0 - p_neither
instance.graph.node[node_index]["p_enemy_fire"] = final_prob_fire
if p_sight == 0.0:
instance.graph.node[node_index]["p_enemy_sight"] = p_enemy
else:
p_not_prior_sight = 1.0 - p_sight
p_not_current_sight = 1.0 - p_enemy
p_neither = p_not_prior_sight * p_not_current_sight
final_prob_sight = 1.0 - p_neither
instance.graph.node[node_index]["p_enemy_sight"] = final_prob_sight