code: def test_dtiprocess_outputs():
      output_map = dict(
          RD_output=dict(
              extensions=None,
          ),
          color_fa_output=dict(
              extensions=None,
          ),
          deformation_output=dict(
              extensions=None,
          ),
          fa_gradient_output=dict(
              extensions=None,
          ),
          fa_gradmag_output=dict(
              extensions=None,
          ),
          fa_output=dict(
              extensions=None,
          ),
          frobenius_norm_output=dict(
              extensions=None,
          ),
          lambda1_output=dict(
              extensions=None,
          ),
          lambda2_output=dict(
              extensions=None,
          ),
          lambda3_output=dict(
              extensions=None,
          ),
          md_output=dict(
              extensions=None,
          ),
          negative_eigenvector_output=dict(
              extensions=None,
          ),
          outmask=dict(
              extensions=None,
          ),
          principal_eigenvector_output=dict(
              extensions=None,
          ),
          rot_output=dict(
              extensions=None,
          ),
      )
      outputs = dtiprocess.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_dtiprocess_outputs() without return types