code: def test_HammerAttributeCreator_inputs():
      input_map = dict(
          Scale=dict(
              argstr="--Scale %d",
          ),
          Strength=dict(
              argstr="--Strength %f",
          ),
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inputCSFVolume=dict(
              argstr="--inputCSFVolume %s",
              extensions=None,
          ),
          inputGMVolume=dict(
              argstr="--inputGMVolume %s",
              extensions=None,
          ),
          inputWMVolume=dict(
              argstr="--inputWMVolume %s",
              extensions=None,
          ),
          outputVolumeBase=dict(
              argstr="--outputVolumeBase %s",
          ),
      )
      inputs = HammerAttributeCreator.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_HammerAttributeCreator_inputs() without return types