code: def test_random_number_distribution():
      # smoke test only
      z = powerlaw_sequence(20, exponent=2.5)
      z = discrete_sequence(
          20, distribution=[0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 3]
      )
  
imports: import random
  from copy import copy
  import pytest
  import networkx
  from networkx.utils import PythonRandomInterface, arbitrary_element, create_py_random_state, create_random_state, dict_to_numpy_array, discrete_sequence, flatten, groups, make_list_of_ints, pairwise, powerlaw_sequence
  from networkx.utils.misc import _dict_to_numpy_array1, _dict_to_numpy_array2
label_desc: Use image node_id 3 for calling a global function with example usage: test_random_number_distribution() without return types