code: def test_Cortex_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          computeGCBoundary=dict(
              argstr="-g",
          ),
          computeWGBoundary=dict(
              argstr="-w",
              usedefault=True,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          includeAllSubcorticalAreas=dict(
              argstr="-a",
              usedefault=True,
          ),
          inputHemisphereLabelFile=dict(
              argstr="-h %s",
              extensions=None,
              mandatory=True,
          ),
          inputTissueFractionFile=dict(
              argstr="-f %s",
              extensions=None,
              mandatory=True,
          ),
          outputCerebrumMask=dict(
              argstr="-o %s",
              extensions=None,
              genfile=True,
          ),
          timer=dict(
              argstr="--timer",
          ),
          tissueFractionThreshold=dict(
              argstr="-p %f",
              usedefault=True,
          ),
          verbosity=dict(
              argstr="-v %d",
          ),
      )
      inputs = Cortex.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_Cortex_inputs() without return types