The path-wise nearest target is chosen, via the shortest available path.
Target must not be t. On succcess, return positive value, else False.
Filters:
- "a": Thing in FOV is below a certain distance, animate, but of ThingType
- that is not t's, and starts out weaker than t is; build path as
- avoiding things of t's ThingType
- "f": neighbor cell (not inhabited by any animate Thing) further away from
- animate Thing not further than x steps away and in FOV and of a
- ThingType that is not t's, and starts out stronger or as strong as t
- is currently; or (cornered), if no such flight cell, but Thing of
- above criteria is too near,1 a cell closer to it, or, if less near,
- just wait
- "c": Thing in memorized map is consumable
+ "a": Thing in FOV is animate, but of ThingType, starts out weaker than t
+ is, and its corpse would be healthy food for t
+ "f": move away from an enemy – any visible actor whose thing type has more
+ TT_LIFEPOINTS than t LIFEPOINTS, and might find t's corpse healthy
+ food – if it is closer than n steps, where n will shrink as t's hunger
+ grows; if enemy is too close, move towards (attack) the enemy instead;
+ if no fleeing is possible, nor attacking useful, wait; don't tread on
+ non-enemies for fleeing
+ "c": Thing in memorized map is consumable of sufficient nutrition for t
"s": memory map cell with greatest-reachable degree of unexploredness
"""
raise RuntimeError("No score map allocated for "
"zero_score_map_where_char_on_memdepthmap().")
+ def set_map_score_at_thingpos(id, score):
+ pos = world_db["Things"][id]["T_POSY"] * world_db["MAP_LENGTH"] \
+ + world_db["Things"][id]["T_POSX"]
+ set_map_score(pos, score)
+
def set_map_score(pos, score):
test = libpr.set_map_score(pos, score)
if test:
raise RuntimeError("No score map allocated for get_map_score().")
return result
+ def animate_in_fov(Thing):
+ if Thing["carried"] or Thing == t or not Thing["T_LIFEPOINTS"]:
+ return False
+ pos = Thing["T_POSY"] * world_db["MAP_LENGTH"] + Thing["T_POSX"]
+ if ord("v") == t["fovmap"][pos]:
+ return True
+
+ def good_attack_target(v):
+ eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
+ type = world_db["ThingTypes"][v["T_TYPE"]]
+ type_corpse = world_db["ThingTypes"][type["TT_CORPSE_ID"]]
+ if t["T_LIFEPOINTS"] > type["TT_LIFEPOINTS"] \
+ and type_corpse["TT_TOOL"] == "food" \
+ and type_corpse["TT_TOOLPOWER"] > eat_cost:
+ return True
+ return False
+
+ def good_flee_target(m):
+ own_corpse_id = world_db["ThingTypes"][t["T_TYPE"]]["TT_CORPSE_ID"]
+ corpse_type = world_db["ThingTypes"][own_corpse_id]
+ targetness = 0 if corpse_type["TT_TOOL"] != "food" \
+ else corpse_type["TT_TOOLPOWER"]
+ type = world_db["ThingTypes"][m["T_TYPE"]]
+ if t["T_LIFEPOINTS"] < type["TT_LIFEPOINTS"] \
+ and targetness > eat_vs_hunger_threshold(m["T_TYPE"]):
+ return True
+ return False
+
def seeing_thing():
- if t["fovmap"] and ("a" == filter or "f" == filter):
+ if t["fovmap"] and "a" == filter:
+ for id in world_db["Things"]:
+ if animate_in_fov(world_db["Things"][id]):
+ if good_attack_target(world_db["Things"][id]):
+ return True
+ elif t["fovmap"] and "f" == filter:
for id in world_db["Things"]:
- Thing = world_db["Things"][id]
- if Thing != t and Thing["T_LIFEPOINTS"] and \
- t["T_TYPE"] != Thing["T_TYPE"] and \
- 'v' == chr(t["fovmap"][(Thing["T_POSY"]
- * world_db["MAP_LENGTH"])
- + Thing["T_POSX"]]):
- ThingType = world_db["ThingTypes"][Thing["T_TYPE"]]
- if ("f" == filter and ThingType["TT_LIFEPOINTS"] >=
- t["T_LIFEPOINTS"]) \
- or ("a" == filter and ThingType["TT_LIFEPOINTS"] <
- t["T_LIFEPOINTS"]):
+ if animate_in_fov(world_db["Things"][id]):
+ if good_flee_target(world_db["Things"][id]):
return True
elif t["T_MEMMAP"] and "c" == filter:
eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
set_cells_passable_on_memmap_to_65534_on_scoremap()
if "a" == filter:
for id in world_db["Things"]:
- Thing = world_db["Things"][id]
- pos = Thing["T_POSY"] * world_db["MAP_LENGTH"] \
- + Thing["T_POSX"]
- if t != Thing and Thing["T_LIFEPOINTS"] and \
- t["T_TYPE"] != Thing["T_TYPE"] and \
- ord_v == t["fovmap"][pos] and \
- t["T_LIFEPOINTS"] > \
- world_db["ThingTypes"][Thing["T_TYPE"]]["TT_LIFEPOINTS"]:
- set_map_score(pos, 0)
- elif t["T_TYPE"] == Thing["T_TYPE"]:
- set_map_score(pos, 65535)
+ if animate_in_fov(world_db["Things"][id]) \
+ and good_attack_target(world_db["Things"][id]):
+ set_map_score_at_thingpos(id, 0)
elif "f" == filter:
- for id in [id for id in world_db["Things"]
- if world_db["Things"][id]["T_LIFEPOINTS"]]:
- Thing = world_db["Things"][id]
- pos = Thing["T_POSY"] * world_db["MAP_LENGTH"] \
- + Thing["T_POSX"]
- if t["T_TYPE"] != Thing["T_TYPE"] and \
- ord_v == t["fovmap"][pos] and \
- t["T_LIFEPOINTS"] <= \
- world_db["ThingTypes"][Thing["T_TYPE"]]["TT_LIFEPOINTS"]:
- set_map_score(pos, 0)
+ for id in world_db["Things"]:
+ if animate_in_fov(world_db["Things"][id]) \
+ and good_flee_target(world_db["Things"][id]):
+ set_map_score_at_thingpos(id, 0)
elif "c" == filter:
eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
for mt in [mt for mt in t["T_MEMTHING"]
set_map_score(mt[1] * world_db["MAP_LENGTH"] + mt[2], 0)
elif "s" == filter:
zero_score_map_where_char_on_memdepthmap(mem_depth_c[0])
+ if "a" != filter:
+ for id in world_db["Things"]:
+ if animate_in_fov(world_db["Things"][id]):
+ if "f" == filter:
+ pos = world_db["Things"][id]["T_POSY"] \
+ * world_db["MAP_LENGTH"] \
+ + world_db["Things"][id]["T_POSX"]
+ if 0 == get_map_score(pos):
+ continue
+ set_map_score_at_thingpos(id, 65535)
def rand_target_dir(neighbors, cmp, dirs):
candidates = []
dirs = "edcxsw"
eye_pos = t["T_POSY"] * world_db["MAP_LENGTH"] + t["T_POSX"]
neighbors = get_neighbor_scores(dirs, eye_pos)
- if "f" == filter:
- inhabited = [world_db["Things"][id]["T_POSY"]
- * world_db["MAP_LENGTH"]
- + world_db["Things"][id]["T_POSX"]
- for id in world_db["Things"]
- if world_db["Things"][id]["T_LIFEPOINTS"]]
- for i in range(len(dirs)):
- mv_yx_in_dir_legal(dirs[i], t["T_POSY"], t["T_POSX"])
- pos_cmp = libpr.result_y() * world_db["MAP_LENGTH"] \
- + libpr.result_x()
- for pos in [pos for pos in inhabited if pos == pos_cmp]:
- neighbors[i] = 65535
- break
minmax_start = 0 if "f" == filter else 65535 - 1
minmax_neighbor = minmax_start
for i in range(len(dirs)):
if minmax_neighbor != minmax_start:
dir_to_target = rand_target_dir(neighbors, minmax_neighbor, dirs)
if "f" == filter:
+ distance = get_map_score(eye_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"])
+ attack_distance = 1
if not dir_to_target:
- if 1 == get_map_score(eye_pos):
- dir_to_target = rand_target_dir(neighbors, 0, dirs)
- elif 3 >= get_map_score(eye_pos):
+ if attack_distance >= distance:
+ dir_to_target = rand_target_dir(neighbors,
+ distance - 1, dirs)
+ elif fear_distance >= distance:
t["T_COMMAND"] = [id for id in world_db["ThingActions"]
if
world_db["ThingActions"][id]["TA_NAME"]
== "wait"][0]
return 1
- elif dir_to_target and 3 < get_map_score(eye_pos):
+ elif dir_to_target and fear_distance < distance:
dir_to_target = 0
- elif "a" == filter and 10 <= get_map_score(eye_pos):
- dir_to_target = 0
return dir_to_target
dir_to_target = False
def ai(t):
- """Determine next command/argment for actor t via AI algorithms.
-
- AI will look for, and move towards, enemies (animate Things not of their
- own ThingType); if they see none, they will consume consumables in their
- inventory; if there are none, they will pick up what they stand on if they
- stand on consumables; if they stand on none, they will move towards the
- next consumable they see or remember on the map; if they see or remember
- none, they will explore parts of the map unseen since ever or for at least
- one turn; if there is nothing to explore, they will simply wait.
- """
+ """Determine next command/argment for actor t via AI algorithms."""
t["T_COMMAND"] = [id for id in world_db["ThingActions"]
if world_db["ThingActions"][id]["TA_NAME"] == "wait"][0]
- if not get_dir_to_target(t, "f"):
- sel = get_inventory_slot_to_consume(t)
- if -1 != sel:
- t["T_COMMAND"] = [id for id in world_db["ThingActions"]
- if world_db["ThingActions"][id]["TA_NAME"]
- == "use"][0]
- t["T_ARGUMENT"] = sel
- elif standing_on_food(t):
+ if get_dir_to_target(t, "f"):
+ return
+ sel = get_inventory_slot_to_consume(t)
+ if -1 != sel:
+ t["T_COMMAND"] = [id for id in world_db["ThingActions"]
+ if world_db["ThingActions"][id]["TA_NAME"]
+ == "use"][0]
+ t["T_ARGUMENT"] = sel
+ elif standing_on_food(t):
t["T_COMMAND"] = [id for id in world_db["ThingActions"]
if world_db["ThingActions"][id]["TA_NAME"]
== "pick_up"][0]
- elif (not get_dir_to_target(t, "c")) and \
- (not get_dir_to_target(t, "a")):
- get_dir_to_target(t, "s")
+ else:
+ going_to_known_food_spot = get_dir_to_target(t, "c")
+ if not going_to_known_food_spot:
+ aiming_for_walking_food = get_dir_to_target(t, "a")
+ if not aiming_for_walking_food:
+ get_dir_to_target(t, "s")
def turn_over():
projects / plomrogue / blobdiff