code: def test_BRAINSMush_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          boundingBoxSize=dict(
              argstr="--boundingBoxSize %s",
              sep=",",
          ),
          boundingBoxStart=dict(
              argstr="--boundingBoxStart %s",
              sep=",",
          ),
          desiredMean=dict(
              argstr="--desiredMean %f",
          ),
          desiredVariance=dict(
              argstr="--desiredVariance %f",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inputFirstVolume=dict(
              argstr="--inputFirstVolume %s",
              extensions=None,
          ),
          inputMaskVolume=dict(
              argstr="--inputMaskVolume %s",
              extensions=None,
          ),
          inputSecondVolume=dict(
              argstr="--inputSecondVolume %s",
              extensions=None,
          ),
          lowerThresholdFactor=dict(
              argstr="--lowerThresholdFactor %f",
          ),
          lowerThresholdFactorPre=dict(
              argstr="--lowerThresholdFactorPre %f",
          ),
          numberOfThreads=dict(
              argstr="--numberOfThreads %d",
          ),
          outputMask=dict(
              argstr="--outputMask %s",
              hash_files=False,
          ),
          outputVolume=dict(
              argstr="--outputVolume %s",
              hash_files=False,
          ),
          outputWeightsFile=dict(
              argstr="--outputWeightsFile %s",
              hash_files=False,
          ),
          seed=dict(
              argstr="--seed %s",
              sep=",",
          ),
          upperThresholdFactor=dict(
              argstr="--upperThresholdFactor %f",
          ),
          upperThresholdFactorPre=dict(
              argstr="--upperThresholdFactorPre %f",
          ),
      )
      inputs = BRAINSMush.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_BRAINSMush_inputs() without return types