1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
|
from ncls import NCLS
import pickle
import pandas as pd
import numpy as np
# starts = np.random.randint(0, int(1e8), int(1e3))
starts = np.array(range(100))
ends = starts + 100
ids = starts
ncls = NCLS(starts, ends, ids)
starts2 = np.array([0, 10, 20, 40000], dtype=np.long)
ends2 = np.array([5, 15, 25, 50000], dtype=np.long)
indexes2 = np.array([0, 1, 2, 3], dtype=np.long)
print(starts)
print(ncls.has_overlaps(starts2, ends2, indexes2))
# for i in range(0, 100):
# for j in ncls.find_overlap_list(i, i + 10):
# print(j)
|
