code: def test_Synthesize_inputs():
      input_map = dict(
          TR=dict(
              argstr="-TR %f",
          ),
          args=dict(
              argstr="%s",
          ),
          cbucket=dict(
              argstr="-cbucket %s",
              copyfile=False,
              extensions=None,
              mandatory=True,
          ),
          cenfill=dict(
              argstr="-cenfill %s",
          ),
          dry_run=dict(
              argstr="-dry",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          matrix=dict(
              argstr="-matrix %s",
              copyfile=False,
              extensions=None,
              mandatory=True,
          ),
          num_threads=dict(
              nohash=True,
              usedefault=True,
          ),
          out_file=dict(
              argstr="-prefix %s",
              extensions=None,
              name_template="syn",
          ),
          outputtype=dict(),
          select=dict(
              argstr="-select %s",
              mandatory=True,
          ),
      )
      inputs = Synthesize.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_Synthesize_inputs() without return types