t["T_MEMDEPTHMAP"] = bytearray(b' ' * (world_db["MAP_LENGTH"] ** 2))
ord_v = ord("v")
ord_0 = ord("0")
- ord_space = ord(" ")
for pos in [pos for pos in range(world_db["MAP_LENGTH"] ** 2)
if ord_v == t["fovmap"][pos]]:
t["T_MEMDEPTHMAP"][pos] = ord_0
- if ord_space == t["T_MEMMAP"][pos]:
- t["T_MEMMAP"][pos] = world_db["MAP"][pos]
+ t["T_MEMMAP"][pos] = world_db["MAP"][pos]
if age_map:
age_some_memdepthmap_on_nonfov_cells()
t["T_MEMTHING"] = [mt for mt in t["T_MEMTHING"]
prolscore = world_db["ThingTypes"][t["T_TYPE"]]["TT_PROLIFERATE"]
if prolscore and (1 == prolscore or 1 == (rand.next() % prolscore)):
candidates = []
- for dir in [directions_db[key] for key in directions_db]:
+ for dir in [directions_db[key] for key in sorted(directions_db.keys())]:
mv_result = mv_yx_in_dir_legal(dir, t["T_POSY"], t["T_POSX"])
if mv_result[0] and ord('.') == prol_map[mv_result[1]
* world_db["MAP_LENGTH"]