new_contents: import numpy as np
  from numba import autojit
  
  @autojit
  def slicing_error(X, window_size, i):
      return X[max(0, i - window_size):i + 1]
  
  def test_slicing_shape():
  
      X = np.random.normal(0, 1, (20, 2))
  
      i = 0
      gold = slicing_error.py_func(X, 10, i)
      ans = slicing_error(X, 10, i)
  
      assert gold.shape == ans.shape, (gold.shape, ans.shape)
  
  if __name__ == '__main__':
      test_slicing_shape()
  
subject: Add test for issue 77