code: def test_DTITracker_inputs():
      input_map = dict(
          angle_threshold=dict(
              argstr="-at %f",
          ),
          angle_threshold_weight=dict(
              argstr="-atw %f",
          ),
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          input_data_prefix=dict(
              argstr="%s",
              position=0,
              usedefault=True,
          ),
          input_type=dict(
              argstr="-it %s",
          ),
          invert_x=dict(
              argstr="-ix",
          ),
          invert_y=dict(
              argstr="-iy",
          ),
          invert_z=dict(
              argstr="-iz",
          ),
          mask1_file=dict(
              argstr="-m %s",
              extensions=None,
              mandatory=True,
              position=2,
          ),
          mask1_threshold=dict(
              position=3,
          ),
          mask2_file=dict(
              argstr="-m2 %s",
              extensions=None,
              position=4,
          ),
          mask2_threshold=dict(
              position=5,
          ),
          output_file=dict(
              argstr="%s",
              extensions=None,
              position=1,
              usedefault=True,
          ),
          output_mask=dict(
              argstr="-om %s",
              extensions=None,
          ),
          primary_vector=dict(
              argstr="-%s",
          ),
          random_seed=dict(
              argstr="-rseed %d",
          ),
          step_length=dict(
              argstr="-l %f",
          ),
          swap_xy=dict(
              argstr="-sxy",
          ),
          swap_yz=dict(
              argstr="-syz",
          ),
          swap_zx=dict(
              argstr="-szx",
          ),
          tensor_file=dict(
              extensions=None,
          ),
          tracking_method=dict(
              argstr="-%s",
          ),
      )
      inputs = DTITracker.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_DTITracker_inputs() without return types