def main(args):
game, serial = gameio.read_sample_game(json.load(args.input))
profiles = np.concatenate([serial.from_prof_json(p)[None] for p
in scriptutils.load_profiles(args.profiles)])
bootf, meanf = CHOICES[args.type]
results = bootf(game, profiles, args.num_bootstraps, args.percentiles,
args.processes)
if args.percentiles is None:
args.percentiles = np.linspace(0, 100, args.num_bootstraps)
percentile_strings = [str(p).rstrip('0').rstrip('.')
for p in args.percentiles]
jresults = [{p: v.item() for p, v in zip(percentile_strings, boots)}
for boots in results]
if args.mean:
for jres, mix in zip(jresults, profiles):
jres['mean'] = meanf(game, mix)
json.dump(jresults, args.output)
args.output.write('\n')
def test_sample_game_from_json(json_):
with warnings.catch_warnings():
warnings.filterwarnings('ignore',
message='Truncating observation data')
gameio.read_sample_game(json_)
def test_json_copy_sample_game(game_size, samples):
base = gamegen.role_symmetric_game(*game_size)
game1 = gamegen.add_noise(base, 1, samples)
serial = gamegen.game_serializer(game1)
game2, _ = gameio.read_sample_game(game1.to_json(serial))
assert game1 == game2