code: def load_time_series(filename, delimiter=r'\s+'):
      r
      # Use our universal function to load in the events
      times, values = load_delimited(filename, [float, float], delimiter)
      times = np.array(times)
      values = np.array(values)
  
      return times, values
docs: r"""Import a time series from an annotation file.  The file should consist of
      two columns of numeric values corresponding to the time and value of each
      sample of the time series.
  
      Parameters
      ----------
      filename : str
          Path to the annotation file
      delimiter : str
          Separator regular expression.
          By default, lines will be split by any amount of whitespace.
  
      Returns
      -------
      times : np.ndarray
          array of timestamps (float)
      values : np.ndarray
          array of corresponding numeric values (float)