code: def make_simple_equity_info(sids,
                              start_date,
                              end_date,
                              symbols=None,
                              names=None,
                              exchange='TEST'):
      
      num_assets = len(sids)
      if symbols is None:
          symbols = list(ascii_uppercase[:num_assets])
      else:
          symbols = list(symbols)
  
      if names is None:
          names = [str(s) + " INC." for s in symbols]
  
      return pd.DataFrame(
          {
              'symbol': symbols,
              'start_date': pd.to_datetime([start_date] * num_assets),
              'end_date': pd.to_datetime([end_date] * num_assets),
              'asset_name': list(names),
              'exchange': exchange,
          },
          index=sids,
          columns=(
              'start_date',
              'end_date',
              'symbol',
              'exchange',
              'asset_name',
          ),
      )
docs: Create a DataFrame representing assets that exist for the full duration
      between `start_date` and `end_date`.
  
      Parameters
      ----------
      sids : array-like of int
      start_date : pd.Timestamp, optional
      end_date : pd.Timestamp, optional
      symbols : list, optional
          Symbols to use for the assets.
          If not provided, symbols are generated from the sequence 'A', 'B', ...
      names : list, optional
          Names to use for the assets.
          If not provided, names are generated by adding " INC." to each of the
          symbols (which might also be auto-generated).
      exchange : str, optional
          The exchange name.
  
      Returns
      -------
      info : pd.DataFrame
          DataFrame representing newly-created assets.