code: def test_ODFTracker_inputs():
      input_map = dict(
          ODF=dict(
              extensions=None,
              mandatory=True,
          ),
          angle_threshold=dict(
              argstr="-at %f",
          ),
          args=dict(
              argstr="%s",
          ),
          disc=dict(
              argstr="-disc",
          ),
          dsi=dict(
              argstr="-dsi",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          image_orientation_vectors=dict(
              argstr="-iop %f",
          ),
          input_data_prefix=dict(
              argstr="%s",
              position=0,
              usedefault=True,
          ),
          input_output_type=dict(
              argstr="-it %s",
              usedefault=True,
          ),
          invert_x=dict(
              argstr="-ix",
          ),
          invert_y=dict(
              argstr="-iy",
          ),
          invert_z=dict(
              argstr="-iz",
          ),
          limit=dict(
              argstr="-limit %d",
          ),
          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,
          ),
          max=dict(
              extensions=None,
              mandatory=True,
          ),
          out_file=dict(
              argstr="%s",
              extensions=None,
              position=1,
              usedefault=True,
          ),
          random_seed=dict(
              argstr="-rseed %s",
          ),
          runge_kutta2=dict(
              argstr="-rk2",
          ),
          slice_order=dict(
              argstr="-sorder %d",
          ),
          step_length=dict(
              argstr="-l %f",
          ),
          swap_xy=dict(
              argstr="-sxy",
          ),
          swap_yz=dict(
              argstr="-syz",
          ),
          swap_zx=dict(
              argstr="-szx",
          ),
          voxel_order=dict(
              argstr="-vorder %s",
          ),
      )
      inputs = ODFTracker.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_ODFTracker_inputs() without return types