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  1. import numpy as np
  2.  
  3. def good_lad(n):
  4.     n, m = n + 1, n + 2
  5.     M = np.zeros((n, m), dtype=np.int64)
  6.     j = np.arange(1, m) - 1
  7.  
  8.     for i in range(1, n):
  9.         s = np.cumsum(M[i - j, j])
  10.         M[i, 1:] = s
  11.         M[i, i + 1:] += 1
  12.  
  13.     print('data size in bytes:', M.nbytes)
  14.     return M[-1, -1]
  15.  
  16. n = int(input())
  17. print(good_lad(n))
  18.  
Success #stdin #stdout 0.07s 27256KB
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data size in bytes: 55776
92864
https://ideone.com/BbyTXa
language:
Python 3 (python  3.9.5)
created:
7 years ago
visibility:
public

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