code: def test_Means_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          count=dict(
              argstr="-count",
          ),
          datum=dict(
              argstr="-datum %s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file_a=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          in_file_b=dict(
              argstr="%s",
              extensions=None,
              position=-1,
          ),
          mask_inter=dict(
              argstr="-mask_inter",
          ),
          mask_union=dict(
              argstr="-mask_union",
          ),
          non_zero=dict(
              argstr="-non_zero",
          ),
          num_threads=dict(
              nohash=True,
              usedefault=True,
          ),
          out_file=dict(
              argstr="-prefix %s",
              extensions=None,
              name_source="in_file_a",
              name_template="%s_mean",
          ),
          outputtype=dict(),
          scale=dict(
              argstr="-%sscale",
          ),
          sqr=dict(
              argstr="-sqr",
          ),
          std_dev=dict(
              argstr="-stdev",
          ),
          summ=dict(
              argstr="-sum",
          ),
      )
      inputs = Means.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_Means_inputs() without return types