code: def test_fcsv_to_hdf5_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          landmarkGlobPattern=dict(
              argstr="--landmarkGlobPattern %s",
          ),
          landmarkTypesList=dict(
              argstr="--landmarkTypesList %s",
              extensions=None,
          ),
          landmarksInformationFile=dict(
              argstr="--landmarksInformationFile %s",
              hash_files=False,
          ),
          modelFile=dict(
              argstr="--modelFile %s",
              hash_files=False,
          ),
          numberOfThreads=dict(
              argstr="--numberOfThreads %d",
          ),
          versionID=dict(
              argstr="--versionID %s",
          ),
      )
      inputs = fcsv_to_hdf5.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_fcsv_to_hdf5_inputs() without return types