code: def test_DualRegression_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          con_file=dict(
              argstr="%s",
              extensions=None,
              position=4,
          ),
          des_norm=dict(
              argstr="%i",
              position=2,
              usedefault=True,
          ),
          design_file=dict(
              argstr="%s",
              extensions=None,
              position=3,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          group_IC_maps_4D=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=1,
          ),
          in_files=dict(
              argstr="%s",
              mandatory=True,
              position=-1,
              sep=" ",
          ),
          n_perm=dict(
              argstr="%i",
              mandatory=True,
              position=5,
          ),
          one_sample_group_mean=dict(
              argstr="-1",
              position=3,
          ),
          out_dir=dict(
              argstr="%s",
              genfile=True,
              position=6,
              usedefault=True,
          ),
          output_type=dict(),
      )
      inputs = DualRegression.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_DualRegression_inputs() without return types