import math
dir_to_target = False
dirs = "edcxsw"
- eye_pos = t["pos"]
- neighbors = get_neighbor_scores(dirs, eye_pos)
+ neighbors = get_neighbor_scores(dirs, t["pos"])
minmax_start = 0 if "f" == filter else 65535 - 1
minmax_neighbor = minmax_start
for i in range(len(dirs)):
- if ("f" == filter and get_map_score(eye_pos) < neighbors[i] and
+ if ("f" == filter and get_map_score(t["pos"]) < neighbors[i] and
minmax_neighbor < neighbors[i] and 65535 != neighbors[i]) \
or ("f" != filter and minmax_neighbor > neighbors[i]):
minmax_neighbor = neighbors[i]
if minmax_neighbor != minmax_start:
dir_to_target = rand_target_dir(neighbors, minmax_neighbor, dirs)
if "f" == filter:
- distance = get_map_score(eye_pos)
+ distance = get_map_score(t["pos"])
fear_distance = world_db["MAP_LENGTH"]
if t["T_SATIATION"] < 0 and math.sqrt(-t["T_SATIATION"]) > 0:
fear_distance = fear_distance / math.sqrt(-t["T_SATIATION"])