code: def test_DTIFit_outputs():
      output_map = dict(
          FA=dict(
              extensions=None,
          ),
          L1=dict(
              extensions=None,
          ),
          L2=dict(
              extensions=None,
          ),
          L3=dict(
              extensions=None,
          ),
          MD=dict(
              extensions=None,
          ),
          MO=dict(
              extensions=None,
          ),
          S0=dict(
              extensions=None,
          ),
          V1=dict(
              extensions=None,
          ),
          V2=dict(
              extensions=None,
          ),
          V3=dict(
              extensions=None,
          ),
          sse=dict(
              extensions=None,
          ),
          tensor=dict(
              extensions=None,
          ),
      )
      outputs = DTIFit.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(outputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_DTIFit_outputs() without return types