code: def test_fiberprocess_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          displacement_field=dict(
              argstr="--displacement_field %s",
              extensions=None,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fiber_file=dict(
              argstr="--fiber_file %s",
              extensions=None,
          ),
          fiber_output=dict(
              argstr="--fiber_output %s",
              hash_files=False,
          ),
          fiber_radius=dict(
              argstr="--fiber_radius %f",
          ),
          h_field=dict(
              argstr="--h_field %s",
              extensions=None,
          ),
          index_space=dict(
              argstr="--index_space ",
          ),
          noDataChange=dict(
              argstr="--noDataChange ",
          ),
          no_warp=dict(
              argstr="--no_warp ",
          ),
          saveProperties=dict(
              argstr="--saveProperties ",
          ),
          tensor_volume=dict(
              argstr="--tensor_volume %s",
              extensions=None,
          ),
          verbose=dict(
              argstr="--verbose ",
          ),
          voxel_label=dict(
              argstr="--voxel_label %d",
          ),
          voxelize=dict(
              argstr="--voxelize %s",
              hash_files=False,
          ),
          voxelize_count_fibers=dict(
              argstr="--voxelize_count_fibers ",
          ),
      )
      inputs = fiberprocess.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_fiberprocess_inputs() without return types