code: def test_Cleaner_inputs():
      input_map = dict(
          aggressive=dict(
              argstr="-A",
              position=3,
          ),
          args=dict(
              argstr="%s",
          ),
          artifacts_list_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=1,
          ),
          cleanup_motion=dict(
              argstr="-m",
              position=2,
          ),
          confound_file=dict(
              argstr="-x %s",
              extensions=None,
              position=4,
          ),
          confound_file_1=dict(
              argstr="-x %s",
              extensions=None,
              position=5,
          ),
          confound_file_2=dict(
              argstr="-x %s",
              extensions=None,
              position=6,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          highpass=dict(
              argstr="-m -h %f",
              position=2,
              usedefault=True,
          ),
      )
      inputs = Cleaner.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(inputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_Cleaner_inputs() without return types