code: def test_parameters():
      npt.assert_equal(len(doc["Parameters"]), 3)
      npt.assert_equal(
          [n for n, _, _ in doc["Parameters"]], ["mean", "cov", "shape"]
      )
  
      arg, arg_type, desc = doc["Parameters"][1]
      npt.assert_equal(arg_type, "(N, N) ndarray")
      npt.assert_(desc[0].startswith("Covariance matrix"))
      npt.assert_equal(doc["Parameters"][0][-1][-2], "   (1+2+3)/3")
  
imports: import textwrap
  from dipy.workflows.docstring_parser import NumpyDocString
  import numpy.testing
label_desc: Use image node_id 4 for calling a global function with example usage: test_parameters() without return types