code: def test_Seg_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          bias_classes=dict(
              argstr="-bias_classes %s",
          ),
          bias_fwhm=dict(
              argstr="-bias_fwhm %f",
          ),
          blur_meth=dict(
              argstr="-blur_meth %s",
          ),
          bmrf=dict(
              argstr="-bmrf %f",
          ),
          classes=dict(
              argstr="-classes %s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="-anat %s",
              copyfile=True,
              extensions=None,
              mandatory=True,
              position=-1,
          ),
          main_N=dict(
              argstr="-main_N %d",
          ),
          mask=dict(
              argstr="-mask %s",
              mandatory=True,
              position=-2,
          ),
          mixfloor=dict(
              argstr="-mixfloor %f",
          ),
          mixfrac=dict(
              argstr="-mixfrac %s",
          ),
          prefix=dict(
              argstr="-prefix %s",
          ),
      )
      inputs = Seg.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_Seg_inputs() without return types