code: def test_RegistrationSynQuick_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          dimension=dict(
              argstr="-d %d",
              usedefault=True,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fixed_image=dict(
              argstr="-f %s...",
              mandatory=True,
          ),
          histogram_bins=dict(
              argstr="-r %d",
              usedefault=True,
          ),
          moving_image=dict(
              argstr="-m %s...",
              mandatory=True,
          ),
          num_threads=dict(
              argstr="-n %d",
              usedefault=True,
          ),
          output_prefix=dict(
              argstr="-o %s",
              usedefault=True,
          ),
          precision_type=dict(
              argstr="-p %s",
              usedefault=True,
          ),
          random_seed=dict(
              argstr="-e %d",
              min_ver="2.3.0",
          ),
          spline_distance=dict(
              argstr="-s %d",
              usedefault=True,
          ),
          transform_type=dict(
              argstr="-t %s",
              usedefault=True,
          ),
          use_histogram_matching=dict(
              argstr="-j %d",
          ),
      )
      inputs = RegistrationSynQuick.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_RegistrationSynQuick_inputs() without return types