code: def test_returns():
      npt.assert_equal(len(doc["Returns"]), 2)
      arg, arg_type, desc = doc["Returns"][0]
      npt.assert_equal(arg, "out")
      npt.assert_equal(arg_type, "ndarray")
      npt.assert_(desc[0].startswith("The drawn samples"))
      npt.assert_(desc[-1].endswith("distribution."))
  
      arg, arg_type, desc = doc["Returns"][1]
      npt.assert_equal(arg, "list of str")
      npt.assert_equal(arg_type, "")
      npt.assert_(desc[0].startswith("This is not a real"))
      npt.assert_(desc[-1].endswith("anonymous return values."))
  
imports: import textwrap
  from dipy.workflows.docstring_parser import NumpyDocString
  import numpy.testing
label_desc: Use image node_id 6 for calling a global function with example usage: test_returns() without return types