def search_for_target(life, target_id):
#TODO: Variable size instead of hardcoded
_know = brain.knows_alife_by_id(life, target_id)
_size = 30
if brain.alife_has_flag(life, target_id, 'search_map'):
_search_map = brain.get_alife_flag(life, target_id, 'search_map')
else:
_search_map = maps.create_search_map(life, _know['last_seen_at'], _size)
brain.flag_alife(life, target_id, 'search_map', value=_search_map)
lfe.stop(life)
lfe.walk_to(life, _know['last_seen_at'][:2])
if life['path'] or lfe.find_action(life, matches=[{'action': 'move'}]):
return False
_lowest = {'score': -1, 'pos': None}
_x_top_left = numbers.clip(_know['last_seen_at'][0]-(_size/2), 0, MAP_SIZE[0])
_y_top_left = numbers.clip(_know['last_seen_at'][1]-(_size/2), 0, MAP_SIZE[1])
for x in range(0, _size):
_x = _x_top_left+x
if _x >= MAP_SIZE[0]-1:
continue
for y in range(0, _size):
_y = _y_top_left+y
if _y >= MAP_SIZE[1]-1:
continue
if not _search_map[y, x]:
continue
if sight.can_see_position(life, (_x, _y)):
_search_map[y, x] = 0
if _search_map[y, x]>0 and (not _lowest['pos'] or _search_map[y, x] <= _lowest['score']):
_lowest['score'] = _search_map[y, x]
_lowest['pos'] = (_x, _y, x, y)
if _lowest['pos']:
x, y, _x, _y = _lowest['pos']
if travel_to_position(life, (x, y, _know['last_seen_at'][2]), stop_on_sight=True):
_search_map[_y, _x] = 0
else:
_know['escaped'] = 2
def look(life):
if not 'CAN_SEE' in life['life_flags']:
return False
for target_id in life['know']:
if life['know'][target_id]['last_seen_time']:
life['know'][target_id]['last_seen_time'] += 1
life['know'][target_id]['time_visible'] = 0
else:
life['know'][target_id]['time_visible'] += 1
if 'player' in life:
if life['path'] or not brain.get_flag(life, 'visible_chunks'):
if SETTINGS['smp']:
_visible_chunks = post_scan_surroundings(life)
else:
_visible_chunks = scan_surroundings(life,
judge=False,
get_chunks=True,
ignore_chunks=0)
_chunks = [maps.get_chunk(c) for c in _visible_chunks]
brain.flag(life, 'visible_chunks', value=_visible_chunks)
elif 'player' in life:
_visible_chunks = brain.get_flag(life, 'visible_chunks')
_chunks = [maps.get_chunk(c) for c in _visible_chunks]
else:
#This is for optimizing. Be careful if you mess with this...
_nearby_alife = {}
for alife in LIFE.values():
if alife['id'] == life['id']:
continue
if bad_numbers.distance(
life['pos'],
alife['pos']) <= get_vision(life) and can_see_position(
life, alife['pos']):
_nearby_alife[alife['id']] = {
'pos': alife['pos'][:],
'stance': alife['stance']
}
_last_nearby_alife = brain.get_flag(life, '_nearby_alife')
if not _last_nearby_alife == _nearby_alife:
brain.flag(life, '_nearby_alife', value=_nearby_alife)
else:
for target_id in life['seen']:
if life['know'][target_id]['last_seen_time']:
life['know'][target_id]['last_seen_time'] = 0
return False
_chunks = [
maps.get_chunk(c)
for c in brain.get_flag(life, 'visible_chunks')
]
life['seen'] = []
life['seen_items'] = []
for item_uid in life['know_items']:
life['know_items'][item_uid]['last_seen_time'] += 1
for target_id in life['know']:
life['know'][target_id]['last_seen_time'] += 1
if life['know'][target_id]['last_seen_time'] >= 10 and not life[
'know'][target_id]['escaped']:
life['know'][target_id]['escaped'] = 1
if not 'player' in life:
quick_look(life)
return False
for chunk in _chunks:
judgement.judge_chunk_visually(
life, '%s,%s' % (chunk['pos'][0], chunk['pos'][1]))
judgement.judge_chunk_life(
life, '%s,%s' % (chunk['pos'][0], chunk['pos'][1]))
for ai in [LIFE[i] for i in chunk['life']]:
if ai['id'] == life['id']:
continue
if not is_in_fov(life, ai['pos']):
if ai['id'] in life['know']:
life['know'][ai['id']]['time_visible'] = 0
continue
if not ai['id'] in life['know']:
brain.meet_alife(life, ai)
_visibility = get_visiblity_of_position(life, ai['pos'])
_stealth_coverage = get_stealth_coverage(ai)
if _visibility < 1 - _stealth_coverage:
continue
life['seen'].append(ai['id'])
if life['think_rate'] == life['think_rate_max']:
lfe.create_and_update_self_snapshot(LIFE[ai['id']])
judgement.judge_life(life, ai['id'])
if ai['dead']:
if 'player' in life and not life['know'][
ai['id']]['dead'] and life['know'][
ai['id']]['last_seen_time'] > 25:
logic.show_event('You discover the body of %s.' %
' '.join(ai['name']),
life=ai)
if life['know'][ai['id']]['group']:
groups.remove_member(life, life['know'][ai['id']]['group'],
ai['id'])
life['know'][ai['id']]['group'] = None
core.record_loss(1)
life['know'][ai['id']]['dead'] = True
elif ai['asleep']:
life['know'][ai['id']]['asleep'] = True
elif not ai['asleep']:
life['know'][ai['id']]['asleep'] = False
life['know'][ai['id']]['last_seen_time'] = 0
life['know'][ai['id']]['last_seen_at'] = ai['pos'][:]
life['know'][ai['id']]['escaped'] = False
life['know'][ai['id']]['state'] = ai['state']
life['know'][ai['id']]['state_tier'] = ai['state_tier']
if brain.alife_has_flag(life, ai['id'], 'search_map'):
brain.unflag_alife(life, ai['id'], 'search_map')
_chunk_id = lfe.get_current_chunk_id(ai)
judgement.judge_chunk(life, _chunk_id, seen=True)
for item in [ITEMS[i] for i in chunk['items'] if i in ITEMS]:
if not is_in_fov(life, item['pos']):
continue
if not item['uid'] in life['know_items']:
brain.remember_item(life, item)
if items.is_item_owned(item['uid']):
#TODO: This doesn't work because we are specifically checking chunks
if item['owner'] and lfe.item_is_equipped(
LIFE[item['owner']], item['uid']):
life['know_items'][item['uid']]['last_seen_at'] = LIFE[
item['owner']]['pos']
life['know_items'][
item['uid']]['last_owned_by'] = item['owner']
life['know_items'][item['uid']]['last_seen_time'] = 0
continue
life['seen_items'].append(item['uid'])
life['know_items'][item['uid']]['last_seen_at'] = item['pos'][:]
life['know_items'][item['uid']]['last_seen_time'] = 0
life['know_items'][item['uid']]['last_owned_by'] = None
life['know_items'][item['uid']]['score'] = judgement.judge_item(
life, item['uid'])
life['know_items'][item['uid']]['lost'] = False
def quick_look(life):
_life = []
_items = []
_current_chunk = lfe.get_current_chunk_id(life)
_current_chunk_pos = chunks.get_chunk(_current_chunk)['pos']
_x_chunk_min = bad_numbers.clip(
_current_chunk_pos[0] -
((get_vision(life) / WORLD_INFO['chunk_size']) *
WORLD_INFO['chunk_size']), 0, MAP_SIZE[0] - WORLD_INFO['chunk_size'])
_y_chunk_min = bad_numbers.clip(
_current_chunk_pos[1] -
((get_vision(life) / WORLD_INFO['chunk_size']) *
WORLD_INFO['chunk_size']), 0, MAP_SIZE[1] - WORLD_INFO['chunk_size'])
_x_chunk_max = bad_numbers.clip(
_current_chunk_pos[0] +
((get_vision(life) / WORLD_INFO['chunk_size']) *
WORLD_INFO['chunk_size']), 0, MAP_SIZE[0] - WORLD_INFO['chunk_size'])
_y_chunk_max = bad_numbers.clip(
_current_chunk_pos[1] +
((get_vision(life) / WORLD_INFO['chunk_size']) *
WORLD_INFO['chunk_size']), 0, MAP_SIZE[1] - WORLD_INFO['chunk_size'])
_has_ready_weapon = combat.has_ready_weapon(life)
for y in range(_y_chunk_min, _y_chunk_max, WORLD_INFO['chunk_size']):
for x in range(_x_chunk_min, _x_chunk_max, WORLD_INFO['chunk_size']):
_chunk_key = '%s,%s' % (x, y)
_chunk = chunks.get_chunk(_chunk_key)
for life_id in _chunk['life']:
ai = LIFE[life_id]
if ai['dead']:
continue
if life_id == life['id']:
continue
if not can_see_position(life, LIFE[life_id]['pos']):
continue
_visibility = get_visiblity_of_position(life, ai['pos'])
_stealth_coverage = get_stealth_coverage(ai)
if _visibility < 1 - _stealth_coverage:
continue
if not ai['id'] in life['know']:
brain.meet_alife(life, ai)
life['seen'].append(ai['id'])
if life['think_rate'] == life['think_rate_max']:
lfe.create_and_update_self_snapshot(LIFE[ai['id']])
judgement.judge_life(life, ai['id'])
if ai['dead']:
if life['know'][ai['id']]['group']:
groups.remove_member(life,
life['know'][ai['id']]['group'],
ai['id'])
life['know'][ai['id']]['group'] = None
life['know'][ai['id']]['dead'] = True
elif ai['asleep']:
life['know'][ai['id']]['asleep'] = True
elif not ai['asleep']:
life['know'][ai['id']]['asleep'] = False
life['know'][ai['id']]['last_seen_time'] = 0
life['know'][ai['id']]['last_seen_at'] = ai['pos'][:]
life['know'][ai['id']]['escaped'] = False
life['know'][ai['id']]['state'] = ai['state']
life['know'][ai['id']]['state_tier'] = ai['state_tier']
if brain.alife_has_flag(life, ai['id'], 'search_map'):
brain.unflag_alife(life, ai['id'], 'search_map')
_chunk_id = lfe.get_current_chunk_id(ai)
judgement.judge_chunk(life, _chunk_id, seen=True)
_life.append(life_id)
for item_uid in _chunk['items']:
if not item_uid in ITEMS:
continue
item = ITEMS[item_uid]
if not item['uid'] in life['know_items']:
brain.remember_item(life, item)
if items.is_item_owned(item['uid']):
continue
# #TODO: This doesn't work because we are specifically checking chunks
# if item['owner'] and lfe.item_is_equipped(LIFE[item['owner']], item['uid']):
# life['know_items'][item['uid']]['last_seen_at'] = LIFE[item['owner']]['pos']
# life['know_items'][item['uid']]['last_owned_by'] = item['owner']
# life['know_items'][item['uid']]['last_seen_time'] = 0
#
# continue
if not can_see_position(life, item['pos']):
continue
if not item['uid'] in life['know_items']:
brain.remember_item(life, item)
life['seen_items'].append(item['uid'])
life['know_items'][
item['uid']]['last_seen_at'] = item['pos'][:]
life['know_items'][item['uid']]['last_seen_time'] = 0
life['know_items'][item['uid']]['last_owned_by'] = None
life['know_items'][
item['uid']]['score'] = judgement.judge_item(
life, item['uid'])
life['know_items'][item['uid']]['lost'] = False
_items.append(item_uid)
def search_for_target(life, target_id):
#TODO: Variable size instead of hardcoded
_know = brain.knows_alife_by_id(life, target_id)
_size = 30
_timer = brain.get_flag(life, 'search_time')
_chunk_path = alife.brain.get_flag(life, 'chunk_path')
if _chunk_path:
travel_to_position(life, _chunk_path['end'], force=True)
return False
if _timer > 0:
brain.flag(life, 'search_time', _timer - 1)
return False
if brain.alife_has_flag(life, target_id, 'search_map'):
_search_map = brain.get_alife_flag(life, target_id, 'search_map')
else:
_search_map = maps.create_search_map(life, _know['last_seen_at'],
_size)
brain.flag_alife(life, target_id, 'search_map', value=_search_map)
lfe.walk_to(life, _know['last_seen_at'])
brain.flag(life, 'search_time', 12)
return False
_lowest = {'score': -1, 'pos': None}
_x_top_left = bad_numbers.clip(_know['last_seen_at'][0] - (_size / 2), 0,
MAP_SIZE[0])
_y_top_left = bad_numbers.clip(_know['last_seen_at'][1] - (_size / 2), 0,
MAP_SIZE[1])
for x in range(0, _size):
_x = _x_top_left + x
if _x >= MAP_SIZE[0] - 1:
continue
for y in range(0, _size):
_y = _y_top_left + y
if _y >= MAP_SIZE[1] - 1:
continue
if not _search_map[y, x]:
continue
if sight.can_see_position(life, (_x, _y, _know['last_seen_at'][2]),
get_path=True) or not lfe.can_walk_to(
life,
(_x, _y, _know['last_seen_at'][2])):
_search_map[y, x] = 0
if _search_map[y, x] > 0 and (
not _lowest['pos']
or _search_map[y, x] < _lowest['score']):
_lowest['score'] = _search_map[y, x]
_lowest['pos'] = (_x, _y, x, y)
if _lowest['pos']:
x, y, _x, _y = _lowest['pos']
if travel_to_position(life, (x, y, _know['last_seen_at'][2]),
stop_on_sight=False):
_search_map[_y, _x] = 0
brain.flag(
life, 'search_time',
bad_numbers.clip(
bad_numbers.distance(life['pos'], (x, y)) * .75, 5, 16))
else:
_know['escaped'] = 2
def look(life):
if not 'CAN_SEE' in life['life_flags']:
return False
for target_id in life['know']:
if life['know'][target_id]['last_seen_time']:
life['know'][target_id]['last_seen_time'] += 1
life['know'][target_id]['time_visible'] = 0
else:
life['know'][target_id]['time_visible'] += 1
if 'player' in life:
if life['path'] or not brain.get_flag(life, 'visible_chunks'):
if SETTINGS['smp']:
_visible_chunks = post_scan_surroundings(life)
else:
_visible_chunks = scan_surroundings(life, judge=False, get_chunks=True, ignore_chunks=0)
_chunks = [maps.get_chunk(c) for c in _visible_chunks]
brain.flag(life, 'visible_chunks', value=_visible_chunks)
elif 'player' in life:
_visible_chunks = brain.get_flag(life, 'visible_chunks')
_chunks = [maps.get_chunk(c) for c in _visible_chunks]
else:
#This is for optimizing. Be careful if you mess with this...
_nearby_alife = {}
for alife in LIFE.values():
if alife['id'] == life['id']:
continue
if bad_numbers.distance(life['pos'], alife['pos'])<=get_vision(life) and can_see_position(life, alife['pos']):
_nearby_alife[alife['id']] = {'pos': alife['pos'][:], 'stance': alife['stance']}
_last_nearby_alife = brain.get_flag(life, '_nearby_alife')
if not _last_nearby_alife == _nearby_alife:
brain.flag(life, '_nearby_alife', value=_nearby_alife)
else:
for target_id in life['seen']:
if life['know'][target_id]['last_seen_time']:
life['know'][target_id]['last_seen_time'] = 0
return False
_chunks = [maps.get_chunk(c) for c in brain.get_flag(life, 'visible_chunks')]
life['seen'] = []
life['seen_items'] = []
for item_uid in life['know_items']:
life['know_items'][item_uid]['last_seen_time'] += 1
for target_id in life['know']:
life['know'][target_id]['last_seen_time'] += 1
if life['know'][target_id]['last_seen_time']>=10 and not life['know'][target_id]['escaped']:
life['know'][target_id]['escaped'] = 1
if not 'player' in life:
quick_look(life)
return False
for chunk in _chunks:
judgement.judge_chunk_visually(life, '%s,%s' % (chunk['pos'][0], chunk['pos'][1]))
judgement.judge_chunk_life(life, '%s,%s' % (chunk['pos'][0], chunk['pos'][1]))
for ai in [LIFE[i] for i in chunk['life']]:
if ai['id'] == life['id']:
continue
if not is_in_fov(life, ai['pos']):
if ai['id'] in life['know']:
life['know'][ai['id']]['time_visible'] = 0
continue
if not ai['id'] in life['know']:
brain.meet_alife(life, ai)
_visibility = get_visiblity_of_position(life, ai['pos'])
_stealth_coverage = get_stealth_coverage(ai)
if _visibility < 1-_stealth_coverage:
continue
life['seen'].append(ai['id'])
if life['think_rate'] == life['think_rate_max']:
lfe.create_and_update_self_snapshot(LIFE[ai['id']])
judgement.judge_life(life, ai['id'])
if ai['dead']:
if 'player' in life and not life['know'][ai['id']]['dead'] and life['know'][ai['id']]['last_seen_time']>25:
logic.show_event('You discover the body of %s.' % ' '.join(ai['name']), life=ai)
if life['know'][ai['id']]['group']:
groups.remove_member(life, life['know'][ai['id']]['group'], ai['id'])
life['know'][ai['id']]['group'] = None
core.record_loss(1)
life['know'][ai['id']]['dead'] = True
elif ai['asleep']:
life['know'][ai['id']]['asleep'] = True
elif not ai['asleep']:
life['know'][ai['id']]['asleep'] = False
life['know'][ai['id']]['last_seen_time'] = 0
life['know'][ai['id']]['last_seen_at'] = ai['pos'][:]
life['know'][ai['id']]['escaped'] = False
life['know'][ai['id']]['state'] = ai['state']
life['know'][ai['id']]['state_tier'] = ai['state_tier']
if brain.alife_has_flag(life, ai['id'], 'search_map'):
brain.unflag_alife(life, ai['id'], 'search_map')
_chunk_id = lfe.get_current_chunk_id(ai)
judgement.judge_chunk(life, _chunk_id, seen=True)
for item in [ITEMS[i] for i in chunk['items'] if i in ITEMS]:
if not is_in_fov(life, item['pos']):
continue
if not item['uid'] in life['know_items']:
brain.remember_item(life, item)
if items.is_item_owned(item['uid']):
#TODO: This doesn't work because we are specifically checking chunks
if item['owner'] and lfe.item_is_equipped(LIFE[item['owner']], item['uid']):
life['know_items'][item['uid']]['last_seen_at'] = LIFE[item['owner']]['pos']
life['know_items'][item['uid']]['last_owned_by'] = item['owner']
life['know_items'][item['uid']]['last_seen_time'] = 0
continue
life['seen_items'].append(item['uid'])
life['know_items'][item['uid']]['last_seen_at'] = item['pos'][:]
life['know_items'][item['uid']]['last_seen_time'] = 0
life['know_items'][item['uid']]['last_owned_by'] = None
life['know_items'][item['uid']]['score'] = judgement.judge_item(life, item['uid'])
life['know_items'][item['uid']]['lost'] = False
def quick_look(life): _life = [] _items = [] _current_chunk = lfe.get_current_chunk_id(life) _current_chunk_pos = chunks.get_chunk(_current_chunk)['pos'] _x_chunk_min = bad_numbers.clip(_current_chunk_pos[0]-((get_vision(life)/WORLD_INFO['chunk_size'])*WORLD_INFO['chunk_size']), 0, MAP_SIZE[0]-WORLD_INFO['chunk_size']) _y_chunk_min = bad_numbers.clip(_current_chunk_pos[1]-((get_vision(life)/WORLD_INFO['chunk_size'])*WORLD_INFO['chunk_size']), 0, MAP_SIZE[1]-WORLD_INFO['chunk_size']) _x_chunk_max = bad_numbers.clip(_current_chunk_pos[0]+((get_vision(life)/WORLD_INFO['chunk_size'])*WORLD_INFO['chunk_size']), 0, MAP_SIZE[0]-WORLD_INFO['chunk_size']) _y_chunk_max = bad_numbers.clip(_current_chunk_pos[1]+((get_vision(life)/WORLD_INFO['chunk_size'])*WORLD_INFO['chunk_size']), 0, MAP_SIZE[1]-WORLD_INFO['chunk_size']) _has_ready_weapon = combat.has_ready_weapon(life) for y in range(_y_chunk_min, _y_chunk_max, WORLD_INFO['chunk_size']): for x in range(_x_chunk_min, _x_chunk_max, WORLD_INFO['chunk_size']): _chunk_key = '%s,%s' % (x, y) _chunk = chunks.get_chunk(_chunk_key) for life_id in _chunk['life']: ai = LIFE[life_id] if ai['dead']: continue if life_id == life['id']: continue if not can_see_position(life, LIFE[life_id]['pos']): continue _visibility = get_visiblity_of_position(life, ai['pos']) _stealth_coverage = get_stealth_coverage(ai) if _visibility < 1-_stealth_coverage: continue if not ai['id'] in life['know']: brain.meet_alife(life, ai) life['seen'].append(ai['id']) if life['think_rate'] == life['think_rate_max']: lfe.create_and_update_self_snapshot(LIFE[ai['id']]) judgement.judge_life(life, ai['id']) if ai['dead']: if life['know'][ai['id']]['group']: groups.remove_member(life, life['know'][ai['id']]['group'], ai['id']) life['know'][ai['id']]['group'] = None life['know'][ai['id']]['dead'] = True elif ai['asleep']: life['know'][ai['id']]['asleep'] = True elif not ai['asleep']: life['know'][ai['id']]['asleep'] = False life['know'][ai['id']]['last_seen_time'] = 0 life['know'][ai['id']]['last_seen_at'] = ai['pos'][:] life['know'][ai['id']]['escaped'] = False life['know'][ai['id']]['state'] = ai['state'] life['know'][ai['id']]['state_tier'] = ai['state_tier'] if brain.alife_has_flag(life, ai['id'], 'search_map'): brain.unflag_alife(life, ai['id'], 'search_map') _chunk_id = lfe.get_current_chunk_id(ai) judgement.judge_chunk(life, _chunk_id, seen=True) _life.append(life_id) for item_uid in _chunk['items']: if not item_uid in ITEMS: continue item = ITEMS[item_uid] if not item['uid'] in life['know_items']: brain.remember_item(life, item) if items.is_item_owned(item['uid']): continue # #TODO: This doesn't work because we are specifically checking chunks # if item['owner'] and lfe.item_is_equipped(LIFE[item['owner']], item['uid']): # life['know_items'][item['uid']]['last_seen_at'] = LIFE[item['owner']]['pos'] # life['know_items'][item['uid']]['last_owned_by'] = item['owner'] # life['know_items'][item['uid']]['last_seen_time'] = 0 # # continue if not can_see_position(life, item['pos']): continue if not item['uid'] in life['know_items']: brain.remember_item(life, item) life['seen_items'].append(item['uid']) life['know_items'][item['uid']]['last_seen_at'] = item['pos'][:] life['know_items'][item['uid']]['last_seen_time'] = 0 life['know_items'][item['uid']]['last_owned_by'] = None life['know_items'][item['uid']]['score'] = judgement.judge_item(life, item['uid']) life['know_items'][item['uid']]['lost'] = False _items.append(item_uid)
def search_for_target(life, target_id):
# TODO: Variable size instead of hardcoded
_know = brain.knows_alife_by_id(life, target_id)
_size = 30
_timer = brain.get_flag(life, "search_time")
_chunk_path = alife.brain.get_flag(life, "chunk_path")
if _chunk_path:
travel_to_position(life, _chunk_path["end"], force=True)
return False
if _timer > 0:
brain.flag(life, "search_time", _timer - 1)
return False
if brain.alife_has_flag(life, target_id, "search_map"):
_search_map = brain.get_alife_flag(life, target_id, "search_map")
else:
_search_map = maps.create_search_map(life, _know["last_seen_at"], _size)
brain.flag_alife(life, target_id, "search_map", value=_search_map)
lfe.walk_to(life, _know["last_seen_at"])
brain.flag(life, "search_time", 12)
return False
_lowest = {"score": -1, "pos": None}
_x_top_left = numbers.clip(_know["last_seen_at"][0] - (_size / 2), 0, MAP_SIZE[0])
_y_top_left = numbers.clip(_know["last_seen_at"][1] - (_size / 2), 0, MAP_SIZE[1])
for x in range(0, _size):
_x = _x_top_left + x
if _x >= MAP_SIZE[0] - 1:
continue
for y in range(0, _size):
_y = _y_top_left + y
if _y >= MAP_SIZE[1] - 1:
continue
if not _search_map[y, x]:
continue
if sight.can_see_position(life, (_x, _y, _know["last_seen_at"][2]), get_path=True) or not lfe.can_walk_to(
life, (_x, _y, _know["last_seen_at"][2])
):
_search_map[y, x] = 0
if _search_map[y, x] > 0 and (not _lowest["pos"] or _search_map[y, x] < _lowest["score"]):
_lowest["score"] = _search_map[y, x]
_lowest["pos"] = (_x, _y, x, y)
if _lowest["pos"]:
x, y, _x, _y = _lowest["pos"]
if travel_to_position(life, (x, y, _know["last_seen_at"][2]), stop_on_sight=False):
_search_map[_y, _x] = 0
brain.flag(life, "search_time", numbers.clip(numbers.distance(life["pos"], (x, y)) * 0.75, 5, 16))
else:
_know["escaped"] = 2
def search_for_target(life, target_id):
#TODO: Variable size instead of hardcoded
_know = brain.knows_alife_by_id(life, target_id)
_size = 30
_timer = brain.get_flag(life, 'search_time')
_chunk_path = alife.brain.get_flag(life, 'chunk_path')
if _chunk_path:
travel_to_position(life, _chunk_path['end'], force=True)
return False
if _timer>0:
brain.flag(life, 'search_time', _timer-1)
return False
if brain.alife_has_flag(life, target_id, 'search_map'):
_search_map = brain.get_alife_flag(life, target_id, 'search_map')
else:
_search_map = maps.create_search_map(life, _know['last_seen_at'], _size)
brain.flag_alife(life, target_id, 'search_map', value=_search_map)
lfe.walk_to(life, _know['last_seen_at'])
brain.flag(life, 'search_time', 12)
return False
_lowest = {'score': -1, 'pos': None}
_x_top_left = bad_numbers.clip(_know['last_seen_at'][0]-(_size/2), 0, MAP_SIZE[0])
_y_top_left = bad_numbers.clip(_know['last_seen_at'][1]-(_size/2), 0, MAP_SIZE[1])
for x in range(0, _size):
_x = _x_top_left+x
if _x >= MAP_SIZE[0]-1:
continue
for y in range(0, _size):
_y = _y_top_left+y
if _y >= MAP_SIZE[1]-1:
continue
if not _search_map[y, x]:
continue
if sight.can_see_position(life, (_x, _y, _know['last_seen_at'][2]), get_path=True) or not lfe.can_walk_to(life, (_x, _y, _know['last_seen_at'][2])):
_search_map[y, x] = 0
if _search_map[y, x]>0 and (not _lowest['pos'] or _search_map[y, x] < _lowest['score']):
_lowest['score'] = _search_map[y, x]
_lowest['pos'] = (_x, _y, x, y)
if _lowest['pos']:
x, y, _x, _y = _lowest['pos']
if travel_to_position(life, (x, y, _know['last_seen_at'][2]), stop_on_sight=False):
_search_map[_y, _x] = 0
brain.flag(life, 'search_time', bad_numbers.clip(bad_numbers.distance(life['pos'], (x, y))*.75, 5, 16))
else:
_know['escaped'] = 2
