base_k = 5
cutoff = 1650
reduction = 0.1
mov = mov_exp
w90 = 200
elo = DynamicElo(base_k,cutoff,reduction,mov,w90)
data_path = '../../cwl-data/data/'
season = TournamentData(None,data_path,wwii=True)
elo_i = initialize_elo(Tournament(TournamentData('CWL Champs 2017',data_path).data).raw_data)
for td in season.tourneys[:-1]:
t = Tournament(td['data'])
t.build_tournament()
t.populate_next_series()
t.set_first_series_elo(elo_i)
t.play(elo)
elo_f = t.final_elos()
elo_i = regressfunc(merge_elo(elo_i,elo_f))
t0 = perf_counter()
first = pd.DataFrame()
second = pd.DataFrame()
third = pd.DataFrame()
for i in range(1000):
tc = copy.deepcopy(Tournament(season.tourneys[-1]['data']))
tc.build_tournament()
tc.populate_next_series()
tc.set_first_series_elo(elo_i)
sim = Simulation(tc)
sim.run(elo)
finals = sim.tournament[-1]['data']
# TODO: run perf counter on each of these steps
t0 = perf_counter()
season = TournamentData(None,data_path,wwii=True)
t1= perf_counter()
elo_i = initialize_elo(Tournament(TournamentData('CWL Champs 2017',data_path).data).raw_data)
t2 = perf_counter()
tr = Tournament(season.tourneys[9]['data'])
t25 = perf_counter()
tr.build_tournament()
t3 = perf_counter()
tr.set_first_series_elo(elo_i)
t4 = perf_counter()
tr.populate_next_series()
t5 = perf_counter()
tr.play(k1)
t6 = perf_counter()
tr.final_elos()
t7 = perf_counter()
print(
round(t1-t0,3),'load wwii data\n',
round(t2-t1,3),'init elo from 2017\n',
round(t25-t2,3),'instantiate tourney\n',
round(t3-t25,3),'build tourney\n',
round(t4-t3,3),'set first series elo\n',
round(t5-t4,3),'pop next series\n',
round(t6-t5,3),'play tourney\n',
round(t7-t6,3),'final elos\n'
)
