mirror of
https://github.com/FAUSheppy/skillbird
synced 2025-12-08 23:48:33 +01:00
continue refactor
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@@ -10,6 +10,10 @@ updateLock = threading.RLock()
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dirty_rounds = 0
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clean_rounds = 0
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#####################################################
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################ HANDLE RATING INPUT ################
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#####################################################
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def evaluate_round(r):
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global clean_rounds
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global dirty_rounds
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@@ -31,47 +35,50 @@ def evaluate_round(r):
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updateLock.release()
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def rate_teams_simple(winner_team,loser_team,weights):
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def rate_teams_simple(winner_team, loser_team, weights=None):
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global clean_rounds
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groups = [winner_team]+[loser_team]
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groups = [winner_team] + [loser_team]
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if len(groups[1]) == 0 or len(groups[0]) ==0 :
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print("WARNING: Groups were {} - {} INCOMPLETE, SKIP".format(len(groups[0]),len(groups[1])))
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return False
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rated = env.rate(groups,weights=weights)
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StorrageBackend.sync_to_database(rated[0],True)
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StorrageBackend.sync_to_database(rated[1],False)
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clean_rounds += 1
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return True
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def quality(team1,team2, names1 = [""], names2 = [""]):
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mu1 = sum(r.mu for r in team1)
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mu2 = sum(r.mu for r in team2)
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mu_tot = mu1 + mu2
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sig1 = sum(r.sigma for r in team1)
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sig2 = sum(r.sigma for r in team2)
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sigtot = sig1 + sig2
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#####################################################
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################### LOCK/GETTER ####################
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#####################################################
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names1 = list(map(lambda x: str(x.name), names1))
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names2 = list(map(lambda x: str(x.name), names2))
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def lock():
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updateLock.acquire()
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diff = abs(mu1 - mu2)
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percent = 50 + diff/mu_tot*100
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if percent > 100:
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percent = 100
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def unlock():
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updateLock.release()
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if mu1 > mu2:
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string = "{} win at {:.2f}% - {:.2f} to {:.2f} Uncertainty: {:.2f}%".format(\
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",".join(names1), \
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percent, mu1, mu2, sigtot/diff*100)
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else:
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string = "{} win at {:.2f}% - {:.2f} to {:.2f} Uncertainty: {:.2f}%".format(\
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",".join(names2), \
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percent, mu2, mu1, sigtot/diff*100)
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return string
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def newRating(mu=None):
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if mu:
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return Rating(mu=mu, sigma=env.sigma)
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return env.create_rating()
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def player_debug(sid,rated,groups):
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def getEnviroment():
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return env
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def balance(players, buddies=None):
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raise NotImplementedError()
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def get_player_rating(sid, name="NOTFOUND"):
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raise NotImplementedError()
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#####################################################
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############### DEBUGGING FUNCTIONS #################
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#####################################################
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def playerDebug(sid,rated,groups):
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print("winner")
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for key in groups[0]:
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@@ -98,41 +105,3 @@ def player_debug(sid,rated,groups):
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print("Before: {}".format(groups[1][p]))
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print("After: {}".format(rated[1][p]))
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print("\n")
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def balance(players, buddies=None):
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if not players:
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return ""
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StorrageBackend.sync_from_database(players)
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for p in players:
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print(p, p.rating)
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arr = sorted(players, key=lambda x: x.rating.mu, reverse=True)
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ret=""
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i = 0
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while i < len(arr):
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ret += "{}|{},".format(players[i].name,(i%2)+2)
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i += 1
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return ret
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def get_player_rating(sid, name="NOTFOUND"):
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try:
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p = StorrageBackend.known_players[sid]
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tmp = int(env.expose(p.rating))
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return "Rating of '{}' : {} (Rank: {})".format(p.name, tmp, StorrageBackend.get_player_rank(p))
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except KeyError:
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return "Rating of '{}' : No Rating (yet).".format(name)
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def lock():
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updateLock.acquire()
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def unlock():
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updateLock.release()
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def new_rating(mu=None):
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if mu:
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return Rating(mu=mu, sigma=env.sigma)
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return env.create_rating()
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def get_env():
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return env
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