test_pickle.py

from ncls import NCLS

import pickle
import pandas as pd
import numpy as np

starts = np.random.randint(0, int(1e8), int(1e7))
ends = starts + 100
ids = starts

ncls = NCLS(starts, ends, ids)

for i in ncls.find_overlap(0, 2):
    print(i)

pickle.dump(ncls, open("test.pckl", "wb"))

import pickle

ncls2 = pickle.load(open("test.pckl", "rb"))

for i in ncls2.find_overlap(0, 2):
    print(i)