code: def test_Cerebro_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          costFunction=dict(
              argstr="-c %d",
              usedefault=True,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inputAtlasLabelFile=dict(
              argstr="--atlaslabels %s",
              extensions=None,
              mandatory=True,
          ),
          inputAtlasMRIFile=dict(
              argstr="--atlas %s",
              extensions=None,
              mandatory=True,
          ),
          inputBrainMaskFile=dict(
              argstr="-m %s",
              extensions=None,
          ),
          inputMRIFile=dict(
              argstr="-i %s",
              extensions=None,
              mandatory=True,
          ),
          keepTempFiles=dict(
              argstr="--keep",
          ),
          linearConvergence=dict(
              argstr="--linconv %f",
          ),
          outputAffineTransformFile=dict(
              argstr="--air %s",
              extensions=None,
              genfile=True,
          ),
          outputCerebrumMaskFile=dict(
              argstr="-o %s",
              extensions=None,
              genfile=True,
          ),
          outputLabelVolumeFile=dict(
              argstr="-l %s",
              extensions=None,
              genfile=True,
          ),
          outputWarpTransformFile=dict(
              argstr="--warp %s",
              extensions=None,
              genfile=True,
          ),
          tempDirectory=dict(
              argstr="--tempdir %s",
          ),
          tempDirectoryBase=dict(
              argstr="--tempdirbase %s",
          ),
          useCentroids=dict(
              argstr="--centroids",
          ),
          verbosity=dict(
              argstr="-v %d",
          ),
          warpConvergence=dict(
              argstr="--warpconv %f",
          ),
          warpLabel=dict(
              argstr="--warplevel %d",
          ),
      )
      inputs = Cerebro.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_Cerebro_inputs() without return types