def get_best_shelter(life):
_best_shelter = {"distance": -1, "shelter": None}
if life["group"] and groups.get_shelter(life, life["group"]):
_shelter = groups.get_shelter(life, life["group"])
if _shelter:
_nearest_chunk_key = references.find_nearest_key_in_reference(life, _shelter)
_shelter_center = [int(val) + (WORLD_INFO["chunk_size"] / 2) for val in _nearest_chunk_key.split(",")]
_dist = numbers.distance(life["pos"], _shelter_center)
judge_chunk(life, _nearest_chunk_key)
if _dist <= logic.time_until_midnight() * life["speed_max"]:
print life["name"], "can get to shelter in time"
return _nearest_chunk_key
else:
print life["name"], "cant get to shelter in time"
print life["name"], life["group"], [
chunk_id for chunk_id in life["known_chunks"] if chunks.get_flag(life, chunk_id, "shelter")
]
for chunk_key in [chunk_id for chunk_id in life["known_chunks"] if chunks.get_flag(life, chunk_id, "shelter")]:
chunk_center = [int(val) + (WORLD_INFO["chunk_size"] / 2) for val in chunk_key.split(",")]
_score = numbers.distance(life["pos"], chunk_center)
if not _best_shelter["shelter"] or _score < _best_shelter["distance"]:
_best_shelter["shelter"] = chunk_key
_best_shelter["distance"] = _score
return _best_shelter["shelter"]
def get_best_shelter(life):
_best_shelter = {'distance': -1, 'shelter': None}
if life['group'] and groups.get_shelter(life, life['group']):
_shelter = groups.get_shelter(life, life['group'])
if _shelter:
_nearest_chunk_key = references.find_nearest_key_in_reference(life, _shelter)
_shelter_center = [int(val)+(WORLD_INFO['chunk_size']/2) for val in _nearest_chunk_key.split(',')]
_dist = bad_numbers.distance(life['pos'], _shelter_center)
judge_chunk(life, _nearest_chunk_key)
if _dist <= logic.time_until_midnight()*life['speed_max']:
print life['name'],'can get to shelter in time'
return _nearest_chunk_key
else:
print life['name'],'cant get to shelter in time'
for chunk_key in [chunk_id for chunk_id in life['known_chunks'] if chunks.get_flag(life, chunk_id, 'shelter')]:
chunk_center = [int(val)+(WORLD_INFO['chunk_size']/2) for val in chunk_key.split(',')]
_score = bad_numbers.distance(life['pos'], chunk_center)
if not _best_shelter['shelter'] or _score<_best_shelter['distance']:
_best_shelter['shelter'] = chunk_key
_best_shelter['distance'] = _score
return _best_shelter['shelter']
def _get_nearest_known_camp(life):
_nearest_camp = {'camp': None, 'score': -1}
for camp in [life['known_camps'][i] for i in life['known_camps']]:
_key = references.find_nearest_key_in_reference(life, get_camp(camp['id'])['reference'])
_center = [int(val)+(WORLD_INFO['chunk_size']/2) for val in _key.split(',')]
_distance = bad_numbers.distance(life['pos'], _center)
if not _nearest_camp['camp'] or _distance>_nearest_camp['score']:
_nearest_camp['camp'] = camp
_nearest_camp['score'] = _distance
return _nearest_camp
def _get_nearest_known_camp(life):
_nearest_camp = {'camp': None, 'score': -1}
for camp in [life['known_camps'][i] for i in life['known_camps']]:
_key = references.find_nearest_key_in_reference(
life,
get_camp(camp['id'])['reference'])
_center = [
int(val) + (WORLD_INFO['chunk_size'] / 2)
for val in _key.split(',')
]
_distance = numbers.distance(life['pos'], _center)
if not _nearest_camp['camp'] or _distance > _nearest_camp['score']:
_nearest_camp['camp'] = camp
_nearest_camp['score'] = _distance
return _nearest_camp
def explore_unknown_chunks(life):
if life["path"]:
return True
_chunk_key = references.path_along_reference(life, "roads")
if not _chunk_key:
_best_reference = references._find_best_unknown_reference(life, "roads")["reference"]
if not _best_reference:
return False
_chunk_key = references.find_nearest_key_in_reference(life, _best_reference, unknown=True, threshold=15)
if not _chunk_key:
return False
_walkable_area = chunks.get_walkable_areas(_chunk_key)
if not _walkable_area:
print "no walkable area"
return False
_closest_pos = {"pos": None, "distance": -1}
for pos in _walkable_area:
_distance = numbers.distance(life["pos"], pos)
if _distance <= 1:
_closest_pos["pos"] = pos
break
if not _closest_pos["pos"] or _distance < _closest_pos["distance"]:
_closest_pos["pos"] = pos
_closest_pos["distance"] = _distance
lfe.clear_actions(life)
lfe.add_action(life, {"action": "move", "to": _closest_pos["pos"]}, 200)
return True
