def main(args):
game, serial = gameio.read_game(json.load(args.input))
if args.type == 'pure':
equilibria = nash.pure_nash(game, args.regret)
if args.one and not equilibria:
equilibria = nash.min_regret_profile(game)[None]
elif args.type == 'mixed':
rep_args = {
'max_iters': args.max_iterations,
'converge_thresh': args.convergence
}
equilibria = nash.mixed_nash(game, args.regret, args.distance,
random_restarts=args.random_mixtures,
grid_points=args.grid_points,
at_least_one=args.one,
processes=args.processes,
replicator=rep_args, optimize={})
equilibria = game.trim_mixture_support(equilibria, args.support)
elif args.type == 'min-reg-prof':
equilibria = nash.min_regret_profile(game)[None]
elif args.type == 'min-reg-grid':
equilibria = nash.min_regret_grid_mixture(
game, args.grid_points)[None]
equilibria = game.trim_mixture_support(equilibria, args.support)
elif args.type == 'min-reg-rand':
equilibria = nash.min_regret_rand_mixture(
game, args.random_mixtures)[None]
equilibria = game.trim_mixture_support(equilibria, args.support)
elif args.type == 'rand':
equilibria = game.random_mixtures(args.random_mixtures)
equilibria = game.trim_mixture_support(equilibria, args.support)
else:
raise ValueError('Unknown command given: {0}'.format(args.type)) # pragma: no cover # noqa
json.dump([serial.to_prof_json(eqm) for eqm in equilibria], args.output)
args.output.write('\n')
def main(args):
"""Entry point for nash finding"""
game = gamereader.load(args.input)
if args.pure:
equilibria = nash.pure_equilibria(game, epsilon=args.regret)
if args.style.endswith('*') and not equilibria:
equilibria = nash.min_regret_profile(game)[None]
json.dump([game.profile_to_json(eqm) for eqm in equilibria],
args.output)
else:
equilibria = nash.mixed_equilibria(
game, style=args.style, regret_thresh=args.regret,
dist_thresh=args.distance, processes=args.processes)
json.dump(
[game.mixture_to_json(eqm) for eqm
in game.trim_mixture_support(equilibria, thresh=args.support)],
args.output)
args.output.write('\n')
def main(args):
"""Entry point for nash finding"""
game = gamereader.load(args.input)
if args.pure:
equilibria = nash.pure_equilibria(game, epsilon=args.regret)
if args.style.endswith('*') and not equilibria:
equilibria = nash.min_regret_profile(game)[None]
json.dump([game.profile_to_json(eqm) for eqm in equilibria],
args.output)
else:
equilibria = nash.mixed_equilibria(game,
style=args.style,
regret_thresh=args.regret,
dist_thresh=args.distance,
processes=args.processes)
json.dump([
game.mixture_to_json(eqm)
for eqm in game.trim_mixture_support(equilibria,
thresh=args.support)
], args.output)
args.output.write('\n')
def test_minreg_roshambo():
game = gamegen.rock_paper_scissors()
eqm = nash.min_regret_profile(game)
assert np.all(np.sort(eqm) == [0, 0, 2]), \
"min regret profile was not rr, pp, or ss"
def test_empty_game():
game = rsgame.Game(2, 3)
with pytest.raises(ValueError):
nash.min_regret_profile(game)
def test_min_regret_profile():
"""Test minimum regret profile on rps"""
game = gamegen.rock_paper_scissors()
eqm = nash.min_regret_profile(game)
assert utils.allequal_perm(eqm, [0, 0, 2]), \
'min regret profile was not rr, pp, or ss'
def test_min_regret_profile():
"""Test minimum regret profile on rps"""
game = gamegen.rock_paper_scissors()
eqm = nash.min_regret_profile(game)
assert utils.allequal_perm(eqm, [0, 0, 2]), \
'min regret profile was not rr, pp, or ss'
