def _test_obj_fun_1call(self):
m = 2
n = 1
e1 = Ship(player_id=1,
ship_id=1,
x=100,
y=100,
hp=100,
vel_x=0,
vel_y=0,
docking_status=0,
planet=None,
progress=0,
cooldown=0)
e2 = Planet(planet_id=1,
x=100,
y=150,
hp=100,
radius=15,
docking_spots=2,
current=0,
remaining=5,
owned=0,
owner=0,
docked_ships=0)
params = map_parameters(map_parameters([]).values())
e1.augment(1, params)
e2.augment(1, params)
all_entities = [e1, e2]
fun_grad, hess = nav.objective_function(n, m, all_entities)
print(fun_grad([0, 10])[0])
def _test_obj_fun(self):
m = 3
n = 1
e1 = Ship(player_id=1,
ship_id=1,
x=100,
y=100,
hp=100,
vel_x=0,
vel_y=0,
docking_status=0,
planet=None,
progress=0,
cooldown=0)
e2 = Planet(planet_id=1,
x=100,
y=150,
hp=100,
radius=15,
docking_spots=2,
current=0,
remaining=5,
owned=0,
owner=0,
docked_ships=0)
e3 = Planet(planet_id=2,
x=30,
y=75,
hp=100,
radius=10,
docking_spots=7,
current=0,
remaining=5,
owned=0,
owner=0,
docked_ships=0)
all_entities = [e1, e2, e3]
params = map_parameters(map_parameters([]).values())
for e in all_entities:
e.augment(1, params)
fun_grad, hess = nav.objective_function(n, m, all_entities)
unit_vec, apex, rad, all_pos, dist = constraints_pre(
n, m, all_entities)
x = self.entities[0].x
y = self.entities[0].y
img = [[fun_grad([i - x, j - y])[0] for i in range(200)]
for j in range(200)]
img = fit_255(np.array(img))
img = np.dstack((img, img, img))
draw_entities(img, all_entities, unit_vec=unit_vec)
def async_score(args, num_games=CORES):
"""
Evaluating bot
:param args: the values of the learnable parameters passed to the bot
:type args: ndarray
:return:
:rtype:
"""
if max(args) > 1 or min(args) < 0:
print("error!!!")
return 0
print('no error')
start = time()
session_id = update_id("session")
command = get_play_command(args)
print("Session {}, playing {} games".format(session_id, num_games))
pool = Pool()
pool.map(play_game, [command] * num_games)
pool.close()
pool.join()
print("All games of the session have been played")
score, log_perfs = get_score()
print("Score: {:.4}".format(score))
print("Session run in {:.4}s".format(time() - start))
log_performances(score, log_perfs, map_parameters(list(args)))
# clean_repository()
# function often try to minimize score ^^
return score
def command_player(args, idx_player):
kwargs = map_parameters(args)
bot_command = "python3 " + BOT[0] + " "
bot_command += " ".join(
["--{} {}".format(k, v) for k, v in kwargs.items()])
bot_command += " --name {}".format(idx_player)
return bot_command
def initPopulation(pcls, ind_init):
my_path = "./.data/params"
param_files = [f for f in os.listdir(my_path) if f.startswith("params")]
param_files = sorted(param_files, reverse=True)[:MU]
population = []
for file in param_files:
with open(path.join(my_path, file)) as f:
population.append(list(map_parameters(json.load(f)).values()))
return pcls(ind_init(c) for c in population)
def launch_game(args):
kwargs = map_parameters(list(args))
map_height = random.sample(MAP_HEIGHTS, 1)[0]
map_width = int(3 * map_height / 2)
bot_command = "python3 MyBot.py "
bot_command += " ".join(
["--{} {}".format(k, v) for k, v in kwargs.items()])
if OPPONENT_COMMAND == "self":
opp_kwargs = map_parameters(map_parameters(()).values())
opp_command = "python3 MyBot.py "
opp_command += " ".join(
["--{} {}".format(k, v) for k, v in opp_kwargs.items()])
else:
opp_command = OPPONENT_COMMAND
_play_game("./halite", map_width, map_height, [bot_command, opp_command])
print(".")
def write_tournament_perfs(pool_path_prefix, scores, log_perfs, params):
for pool, pool_scores in enumerate(scores):
pool_path = pool_path_prefix + str(pool)
for p, s in pool_scores.items():
file_name = "params-{:.4}-{}.json".format(float(s), p)
log_path = path.join(pool_path, file_name)
with open(log_path, "w") as f:
if int(p) < len(params):
json.dump(map_parameters(params[int(p)]), f)
log_path = path.join(pool_path, "stats.json")
with open(log_path, "w") as f:
json.dump(log_perfs[pool], f)
def get_play_command(args):
kwargs = map_parameters(list(args))
map_height = random.sample(MAP_HEIGHTS, 1)[0]
map_width = int(3 * map_height / 2)
bot_command = "python3 MyBot.py "
bot_command += " ".join(
["--{} {}".format(k, v) for k, v in kwargs.items()])
if OPPONENT_COMMAND == "self":
opp_kwargs = map_parameters(map_parameters(()).values())
opp_command = "python3 MyBot.py "
opp_command += " ".join(
["--{} {}".format(k, v) for k, v in opp_kwargs.items()])
else:
opp_command = OPPONENT_COMMAND
binary = "./halite"
game_run_command = '\"{}\" -d "{} {}" -t'.format(binary, map_width,
map_height)
game_run_command += " \"{}\"".format(bot_command)
game_run_command += " \"{}\"".format(opp_command)
return game_run_command
opp_command = "python3 MyBot.py "
opp_command += " ".join(
["--{} {}".format(k, v) for k, v in opp_kwargs.items()])
else:
opp_command = OPPONENT_COMMAND
_play_game("./halite", map_width, map_height, [bot_command, opp_command])
print(".")
if __name__ == "__main__":
while True:
update_id("experiment")
args = np.array([v for v in map_parameters([]).values()])
bounds = [(0, 1) for _ in args]
try:
a = opt.minimize(async_score,
args,
method='L-BFGS-B',
jac='2-point',
bounds=bounds,
options={
"eps": 0.05,
"maxls": 5,
"maxfun": 50
})
update_parameter_mapping()
except InterruptedError:
update_parameter_mapping()
