code: def bdp(tickers, flds, **kwargs):
      
      logger = logs.get_logger(bdp, level=kwargs.pop('log', logs.LOG_LEVEL))
      con, _ = create_connection()
      ovrds = assist.proc_ovrds(**kwargs)
  
      logger.info(
          f'loading reference data from Bloomberg:\n'
          f'{assist.info_qry(tickers=tickers, flds=flds)}'
      )
      data = con.ref(tickers=tickers, flds=flds, ovrds=ovrds)
      if not kwargs.get('cache', False): return [data]
  
      qry_data = []
      for r, snap in data.iterrows():
          subset = [r]
          data_file = storage.ref_file(
              ticker=snap.ticker, fld=snap.field, ext='pkl', **kwargs
          )
          if data_file:
              if not files.exists(data_file): qry_data.append(data.iloc[subset])
              files.create_folder(data_file, is_file=True)
              data.iloc[subset].to_pickle(data_file)
  
      return qry_data
docs: Bloomberg reference data
  
      Args:
          tickers: tickers
          flds: fields to query
          **kwargs: bbg overrides
  
      Returns:
          pd.DataFrame
  
      Examples:
          >>> bdp('IQ US Equity', 'Crncy', raw=True)
                   ticker  field value
          0  IQ US Equity  Crncy   USD
          >>> bdp('IQ US Equity', 'Crncy').reset_index()
                   ticker crncy
          0  IQ US Equity   USD