input: Write a python function to normalize a list using numpy.
  assert np.allclose(normalize_list([2, 5, 8, 9, 12, 25]), [0.02941176, 0.07352941, 0.11764706, 0.13235294, 0.17647059, 0.36764706])
  assert np.allclose(normalize_list([1, 1, 1, 1, 1]), [0.2, 0.2, 0.2, 0.2, 0.2])
  assert np.allclose(normalize_list([10, 20, 30]), [0.16666667, 0.33333333, 0.5])
output: import numpy as np
  
  def normalize_list(lst):
      arr = np.array(lst)
      return arr / np.sum(arr)