def cutoff(self, round1, round2, cache_current_round=True):
"Independent calculation of confidence cutoff"
crn = nx.get_current_round_number()
if not cache_current_round:
if round1 == crn and round2 == crn:
b = nx.Leaderboard()
lb = b[crn]
elif round2 == crn:
lb = self.lb[round1:round2 - 1]
b = nx.Leaderboard()
lb2 = b[crn]
lb = pd.concat([lb, lb2])
else:
lb = self.lb[round1:round2]
else:
lb = self.lb[round1:round2]
df = cutoff(lb)
return df
def __init__(self, tournament=1):
self.tournament = tournament
self.lb = nx.Leaderboard(tournament)
self.resolution_date = None
def __init__(self):
self.lb = nx.Leaderboard()
def __init__(self, tournament=1):
self.tournament = tournament
self.lb = nx.Leaderboard(tournament)
