from keras.models import load_model
model = load_model(MODEL)
logging.debug("Keras imported")
model.predict([
np.random.randn(1, *(input_shape + (4, ))),
np.random.randn(1, *(input_shape + (5, )))
]).shape
logging.debug("Model loaded")
my_id, gamemap = get_init()
logging.debug("Got init")
start = utils2.find_start(my_id, gamemap)
momentum_map[start] = STILL
logging.debug("Found Starting Position")
logging.debug(start)
prev_moves = np.zeros(input_shape + (5, ))
send_init(MODEL.split('/')[-1])
logging.debug("Sent init")
turn = 0
while True:
turn += 1
gamemap.get_frame()
frame = gamemap_to_frame(gamemap)
stdout, stderr = sys.stdout, sys.stderr
sys.stdout, sys.stderr = open("fout", "wb"), open("ferr", "wb")
from keras.models import load_model
sys.stdout, sys.stderr = stdout, stderr
logging.debug("Keras imported")
model = load_model(MODEL)
model_start = load_model("ML/model_start_1.h5")
logging.debug("Models loaded")
my_id, gamemap = get_init()
logging.debug("Got init")
start = utils2.find_start(my_id, gamemap)
momentum_map[(start.x, start.y)] = STILL
others_start = [
utils2.find_start(player_id, gamemap)
for player_id in range(gamemap.starting_player_count + 1)
if player_id not in (0, my_id)
]
logging.debug("Found Starting Positions")
logging.debug(start)
logging.debug(others_start)
min_distance_to_others = utils2.get_min_distance(start, others_start,
gamemap)
logging.debug("Found Minimum Distance")
logging.debug(min_distance_to_others)
if __name__ == "__main__":
target_reached = False
momentum_map = {}
my_id,gamemap = get_init()
gamemap_stats = utils2.get_gamemap_stats(my_id,gamemap)
logging.debug("Computed map stats")
frontier = utils2.find_frontier(my_id,gamemap)
logging.debug("Found frontier")
start = utils2.find_start(my_id,gamemap)
momentum_map[(start.x,start.y)] = STILL
others_start = [utils2.find_start(player_id,gamemap) for player_id in range(gamemap.starting_player_count+1) if player_id not in (0,my_id)]
logging.debug("Found Starting Positions")
logging.debug(start)
logging.debug(others_start)
min_distance_to_others = utils2.get_min_distance(start,others_start,gamemap)
logging.debug("Found Minimum Distance")
logging.debug(min_distance_to_others)
attr_map = utils2.map_attractiveness(my_id,gamemap,attractiveness_start)
logging.debug("Mapped Attractiveness")
smoothed_attr_map = utils2.smooth_map(attr_map,gamemap,kernel=[1.,1.5])
logging.debug("Mapped Smoothed Attractiveness")
