code: def test_JistIntensityMp2rageMasking_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inBackground=dict(
              argstr="--inBackground %s",
          ),
          inMasking=dict(
              argstr="--inMasking %s",
          ),
          inQuantitative=dict(
              argstr="--inQuantitative %s",
              extensions=None,
          ),
          inSecond=dict(
              argstr="--inSecond %s",
              extensions=None,
          ),
          inSkip=dict(
              argstr="--inSkip %s",
          ),
          inT1weighted=dict(
              argstr="--inT1weighted %s",
              extensions=None,
          ),
          null=dict(
              argstr="--null %s",
          ),
          outMasked=dict(
              argstr="--outMasked_T1_Map %s",
              hash_files=False,
          ),
          outMasked2=dict(
              argstr="--outMasked_T1weighted %s",
              hash_files=False,
          ),
          outSignal=dict(
              argstr="--outSignal_Proba %s",
              hash_files=False,
          ),
          outSignal2=dict(
              argstr="--outSignal_Mask %s",
              hash_files=False,
          ),
          xDefaultMem=dict(
              argstr="-xDefaultMem %d",
          ),
          xMaxProcess=dict(
              argstr="-xMaxProcess %d",
              usedefault=True,
          ),
          xPrefExt=dict(
              argstr="--xPrefExt %s",
          ),
      )
      inputs = JistIntensityMp2rageMasking.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_JistIntensityMp2rageMasking_inputs() without return types