import interleaving as il
import numpy as np
from tqdm import tqdm

rankings = []
for i in range(20):
    ranking = [j for j in range(1000)]
    np.random.shuffle(ranking)
    rankings.append(ranking)
pm = il.Probabilistic()
for i in tqdm(range(86000000)):
    pm.multileave(1000, *rankings)