parameters: (step, evt_type, energy, evtnumber)
return_statement: return common.include_files('Configuration/JetMET/data/calorimetry-gen-Zprime_Dijets_700.cff')[0].source
docstring: Here the settings for the Zprime to JJ simulation are added to the
      process.
docstring_summary: Here the settings for the Zprime to JJ simulation are added to the
      process.
docstring_tokens: Here the settings for the Zprime to JJ simulation are added to the process .
function: def _generate_ZPJJ(step, evt_type, energy, evtnumber):
      """
      Here the settings for the Zprime to JJ simulation are added to the
      process. 
      """
      
      func_id=mod_id+"["+sys._getframe().f_code.co_name+"]"
      common.log(func_id+" Entering... ")            
      common.log( func_id+" Returning Generator...")
      # You might wonder why this time it's not pythonised..Me too: due to the excessive fragmentation of the 
      # cfgs it's not worth to do that at the moment. It also obliges to have two functions for the ZP instead of one.
      return common.include_files('Configuration/JetMET/data/calorimetry-gen-Zprime_Dijets_700.cff')[0].source
function_tokens: def _generate_ZPJJ ( step , evt_type , energy , evtnumber ) : func_id = mod_id + "[" + sys . _getframe ( ) . f_code . co_name + "]" common . log ( func_id + " Entering... " ) common . log ( func_id + " Returning Generator..." ) # You might wonder why this time it's not pythonised..Me too: due to the excessive fragmentation of the  # cfgs it's not worth to do that at the moment. It also obliges to have two functions for the ZP instead of one. return common . include_files ( 'Configuration/JetMET/data/calorimetry-gen-Zprime_Dijets_700.cff' ) [ 0 ] . source