code: def test_Randomise_outputs():
      output_map = dict(
          f_corrected_p_files=dict(),
          f_p_files=dict(),
          fstat_files=dict(),
          t_corrected_p_files=dict(),
          t_p_files=dict(),
          tstat_files=dict(),
      )
      outputs = Randomise.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(outputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_Randomise_outputs() without return types