parameters: (self, datasetName, runNumber, globalTag, **options)
docstring: _dqmHarvesting_
  
          build a DQM Harvesting configuration
  
          Arguments:
          
          datasetName - aka workflow name for DQMServer, this is the name of the
          dataset containing the harvested run
          runNumber - The run being harvested
          globalTag - The global tag being used
          inputFiles - The list of LFNs being harvested
docstring_summary: _dqmHarvesting_
docstring_tokens: _dqmHarvesting_
function: def dqmHarvesting(self, datasetName, runNumber, globalTag, **options):
          """
          _dqmHarvesting_
  
          build a DQM Harvesting configuration
  
          Arguments:
          
          datasetName - aka workflow name for DQMServer, this is the name of the
          dataset containing the harvested run
          runNumber - The run being harvested
          globalTag - The global tag being used
          inputFiles - The list of LFNs being harvested
  
          """
          msg = "Scenario Implementation %s\n" % self.__class__.__name__
          msg += "Does not contain an implementation for dqmHarvesting"
          raise NotImplementedError(msg)
function_tokens: def dqmHarvesting ( self , datasetName , runNumber , globalTag , * * options ) : msg = "Scenario Implementation %s\n" % self . __class__ . __name__ msg += "Does not contain an implementation for dqmHarvesting" raise NotImplementedError ( msg )