code: def test_Camino2Trackvis_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          data_dims=dict(
              argstr="-d %s",
              mandatory=True,
              position=4,
              sep=",",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="-i %s",
              extensions=None,
              mandatory=True,
              position=1,
          ),
          min_length=dict(
              argstr="-l %d",
              position=3,
              units="mm",
          ),
          nifti_file=dict(
              argstr="--nifti %s",
              extensions=None,
              position=7,
          ),
          out_file=dict(
              argstr="-o %s",
              extensions=None,
              genfile=True,
              position=2,
          ),
          voxel_dims=dict(
              argstr="-x %s",
              mandatory=True,
              position=5,
              sep=",",
          ),
          voxel_order=dict(
              argstr="--voxel-order %s",
              extensions=None,
              mandatory=True,
              position=6,
          ),
      )
      inputs = Camino2Trackvis.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_Camino2Trackvis_inputs() without return types