parameters: (timings)
return_statement: return (avg, ci)
docstring: Calculate the average and 95% confidence interval of the timings.
  
      Parameters
      ----------
      timings: :obj:`ndarray` of :obj:`float`
          Timings.
  
      Returns
      -------
      (2,) array_like of :obj:`float`
          Average and confidence interval.
docstring_summary: Calculate the average and 95% confidence interval of the timings.
docstring_tokens: Calculate the average and 95% confidence interval of the timings .
function: def get_average_time(timings):
      '''
      Calculate the average and 95% confidence interval of the timings.
  
      Parameters
      ----------
      timings: :obj:`ndarray` of :obj:`float`
          Timings.
  
      Returns
      -------
      (2,) array_like of :obj:`float`
          Average and confidence interval.
  
      '''
      avg = np.average(timings)
      ci = 1.96 * np.std(timings) / np.sqrt(len(timings) - 1)
      return (avg, ci)
function_tokens: def get_average_time ( timings ) : avg = np . average ( timings ) ci = 1.96 * np . std ( timings ) / np . sqrt ( len ( timings ) - 1 ) return ( avg , ci )