Exemplo n.º 1
0
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
Exemplo n.º 2
0
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
Exemplo n.º 3
0
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
Exemplo n.º 4
0
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