def main(args):
"""Entry point for bootstrap"""
game = gamereader.load(args.input)
profiles = np.concatenate([
game.mixture_from_json(p)[None]
for p in scriptutils.load_profiles(args.profiles)
])
bootf, meanf = CHOICES[args.type]
results = bootf(game,
profiles,
args.num_bootstraps,
percentiles=args.percentiles,
processes=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]
for jres, mix in zip(jresults, profiles):
jres['mean'] = meanf(game, mix)
json.dump(jresults, args.output)
args.output.write('\n')
def main(args):
game, serial = gameio.read_game(json.load(args.input))
prof_func = TYPE[args.type]
payoffs = [prof_func(game, serial, serial.from_prof_json(prof))
for prof in scriptutils.load_profiles(args.profiles)]
json.dump(payoffs, args.output)
args.output.write('\n')
def main(args):
"""Entry point for regret cli"""
game = gamereader.load(args.input)
prof_func = TYPE[args.type]
regrets = [prof_func(game, game.mixture_from_json(prof, verify=False))
for prof in scriptutils.load_profiles(args.profiles)]
json.dump(regrets, args.output)
args.output.write('\n')
def main(args):
game, serial = gameio.read_game(json.load(args.input))
prof_func = TYPE[args.type]
regrets = [prof_func(game, serial,
serial.from_mix_json(prof, verify=False))
for prof in scriptutils.load_profiles(args.profiles)]
json.dump(regrets, args.output)
args.output.write('\n')
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')
