code: def test_fit_isnumpy(lfrfitmodel):
      """The Fit function returns a numpy and it should asserted whether it really returned a numpy precision 64 bits."""
      expected = True
      if type(lfrfitmodel.learned_model) is np.ndarray:
          res = True
      else:
          res = False
      assert res == expected
  
file_path: AIF360/tests/test_lfr.py
imports: import os
  import sys
  import numpy
  import pytest
  from aif360.algorithms.preprocessing import LFR
  from aif360.algorithms.preprocessing.optim_preproc_helpers.data_preproc_functions import load_preproc_data_adult
label_desc: Use image node_id 4 for calling a global function with example usage: test_fit_isnumpy(lfrfitmodel) without return types