code: def test_Contrast_inputs():
      input_map = dict(
          annotation=dict(
              extensions=None,
              mandatory=True,
          ),
          args=dict(
              argstr="%s",
          ),
          copy_inputs=dict(),
          cortex=dict(
              extensions=None,
              mandatory=True,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          hemisphere=dict(
              argstr="--%s-only",
              mandatory=True,
          ),
          orig=dict(
              extensions=None,
              mandatory=True,
          ),
          rawavg=dict(
              extensions=None,
              mandatory=True,
          ),
          subject_id=dict(
              argstr="--s %s",
              mandatory=True,
              usedefault=True,
          ),
          subjects_dir=dict(),
          thickness=dict(
              extensions=None,
              mandatory=True,
          ),
          white=dict(
              extensions=None,
              mandatory=True,
          ),
      )
      inputs = Contrast.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_Contrast_inputs() without return types