code: def test_BigAverage_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          clobber=dict(
              argstr="--clobber",
              usedefault=True,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          input_files=dict(
              argstr="%s",
              mandatory=True,
              position=-2,
              sep=" ",
          ),
          output_file=dict(
              argstr="%s",
              extensions=None,
              genfile=True,
              hash_files=False,
              name_source=["input_files"],
              name_template="%s_bigaverage.mnc",
              position=-1,
          ),
          output_float=dict(
              argstr="--float",
          ),
          robust=dict(
              argstr="-robust",
          ),
          sd_file=dict(
              argstr="--sdfile %s",
              extensions=None,
              hash_files=False,
              name_source=["input_files"],
              name_template="%s_bigaverage_stdev.mnc",
          ),
          tmpdir=dict(
              argstr="-tmpdir %s",
          ),
          verbose=dict(
              argstr="--verbose",
          ),
      )
      inputs = BigAverage.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_BigAverage_inputs() without return types