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Oct 16th, 2018
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  1. # n = 100
  2. # p is some prime number
  3. # coefs is a 2D array of dimension 2*n
  4. # 'some_array' is a 1D numpy array of a different dimension than 'coefs'
  5.  
  6. result = np.zeros(n)
  7. for i in range(n):
  8. result[i] = np.min(coefs[0][i] * some_array + coefs[1][i]) % p)
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