code: def multi_load_data_custom(Channel, TraceTitle, RunNos, directoryPath='.', calcPSD=True, NPerSegmentPSD=1000000):
      
  #    files = glob('{}/*'.format(directoryPath))
  #    files_CorrectChannel = []
  #    for file_ in files:
  #        if 'C{}'.format(Channel) in file_:
  #           files_CorrectChannel.append(file_)
  #    files_CorrectRunNo = []
  #    for RunNo in RunNos:
  #        files_match = _fnmatch.filter(
  #            files_CorrectChannel, '*C{}'.format(Channel)+TraceTitle+str(RunNo).zfill(5)+'.*')
  #        for file_ in files_match:
  #            files_CorrectRunNo.append(file_)
      matching_files = search_data_custom(Channel, TraceTitle, RunNos, directoryPath)
      cpu_count = _cpu_count()
      workerPool = _Pool(cpu_count)
      # for filepath in files_CorrectRepeatNo:
      #    print(filepath)
      #    data.append(load_data(filepath))
      load_data_partial = _partial(load_data, calcPSD=calcPSD, NPerSegmentPSD=NPerSegmentPSD)
      data = workerPool.map(load_data_partial, matching_files)
      workerPool.close()
      workerPool.terminate()
      workerPool.join()
      return data
docs: Lets you load multiple datasets named with the LeCroy's custom naming scheme at once.
  
      Parameters
      ----------
      Channel : int
          The channel you want to load
      TraceTitle : string
          The custom trace title of the files. 
      RunNos : sequence
          Sequence of run numbers you want to load
      RepeatNos : sequence
          Sequence of repeat numbers you want to load
      directoryPath : string, optional
          The path to the directory housing the data
          The default is the current directory
  
      Returns
      -------
      Data : list
          A list containing the DataObjects that were loaded.