parameters: (parameter_dict, workspace_name)
return_statement: return workspace_name
docstring: Apply the MuonGroupingCounts algorithm with the properties supplied through
      the input dictionary of {property_name:property_value} pairs.
      Returns the calculated workspace name.
docstring_summary: Apply the MuonGroupingCounts algorithm with the properties supplied through
      the input dictionary of {property_name:property_value} pairs.
      Returns the calculated workspace name.
docstring_tokens: Apply the MuonGroupingCounts algorithm with the properties supplied through the input dictionary of { property_name : property_value } pairs . Returns the calculated workspace name .
function: def run_MuonGroupingCounts(parameter_dict, workspace_name):
      """
      Apply the MuonGroupingCounts algorithm with the properties supplied through
      the input dictionary of {property_name:property_value} pairs.
      Returns the calculated workspace name.
      """
      alg = mantid.AlgorithmManager.create("MuonGroupingCounts")
      alg.initialize()
      alg.setAlwaysStoreInADS(True)
      alg.setRethrows(True)
      alg.setProperty("OutputWorkspace", workspace_name)
      alg.setProperties(parameter_dict)
      alg.execute()
      return workspace_name
function_tokens: def run_MuonGroupingCounts ( parameter_dict , workspace_name ) : alg = mantid . AlgorithmManager . create ( "MuonGroupingCounts" ) alg . initialize ( ) alg . setAlwaysStoreInADS ( True ) alg . setRethrows ( True ) alg . setProperty ( "OutputWorkspace" , workspace_name ) alg . setProperties ( parameter_dict ) alg . execute ( ) return workspace_name