Hanabi/Py-Hanabi
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

clean up greedy solver file

Browse Source
This commit is contained in:
Maximilian Keßler 2023-05-19 12:55:27 +02:00
parent 86f824edd7
commit ef4b344762
Signed by: max
GPG Key ID: BCC5A619923C0BA5
1 changed files with 20 additions and 44 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

64
greedy_solver.py
View File

@ -155,62 +155,38 @@ class GreedyStrategy():
self.game_state.clue()
def test():
# seed p4v0s148
deck = decompress_deck("15wpspaodknlftabkpixbxiudqvrumhsgeakqucvgcrfmfhynwlj")
gs = GameState(5, deck)
print(gs.deck)
strat = GreedyStrategy(gs)
while not gs.is_over():
strat.make_move()
# print(strat.suit_badness)
# print(COLORS)
# strat.make_move()
print(gs.actions)
print(link(gs.to_json()))
# wins = open("won_seeds.txt", "a")
# losses = open("lost_seeds.txt", "a")
# crits = open("crits_lost.txt", "a")
def run_deck(seed, num_players, deck_str, variant_id):
deck = decompress_deck(deck_str)
instance = HanabiInstance(deck, num_players, variant_id)
def run_deck(instance: HanabiInstance) -> GameState:
gs = GameState(instance)
strat = GreedyStrategy(gs)
while not gs.is_over():
strat.make_move()
if not gs.score == 25:
logger.verbose(
"Greedy strategy lost {}-player seed {:10} {}:\n{}"
.format(num_players, seed, str(deck), link(gs))
)
return False
return True
return gs
def run_samples(num_players, sample_size):
logger.info("Running {} test games on {} players using greedy strategy.".format(sample_size, num_players))
won = 0
lost = 0
cur = conn.cursor()
cur.execute(
"SELECT seed, num_players, deck, variant_id FROM seeds WHERE variant_id = 0 AND num_players = (%s) order by seed desc limit (%s)",
"SELECT seed, num_players, deck, variant_id "
"FROM seeds WHERE variant_id = 0 AND num_players = (%s)"
"ORDER BY seed DESC LIMIT (%s)",
(num_players, sample_size))
for r in cur:
succ = run_deck(*r)
if succ:
won += 1
else:
seed, num_players, deck_str, var_id = r
deck = decompress_deck(deck_str)
instance = HanabiInstance(deck, num_players)
final_game_state = run_deck(instance)
if final_game_state.score != instance.max_score:
logger.verbose(
"Greedy strategy lost {}-player seed {:10} {}:\n{}"
.format(num_players, seed, str(deck), link(final_game_state))
)
lost += 1
else:
won += 1
print("won: {:4}, lost: {:4}".format(won, lost), end="\r")
print()
print("Total wins: {}%".format(round(100 * won / (lost + won), 2)))
if __name__ == "__main__":
for p in range(2, 6):
print("Testing on {} players...".format(p))
run_samples(p, sys.argv[1])
logger.info("Won {} ({}%) and lost {} ({}%) from sample of {} test games using greedy strategy.".format(
won, round(100 * won / sample_size, 2), lost, round(100 * lost / sample_size, 2), sample_size
))