code: def _create_series(ndschan, value, start, end, series_class=TimeSeries):
      
      channel = Channel.from_nds2(ndschan)
      nsamp = int((end - start) * channel.sample_rate.value)
      return series_class(numpy_ones(nsamp) * value, t0=start,
                          sample_rate=channel.sample_rate, unit=channel.unit,
                          channel=channel)
docs: Create a timeseries to cover the specified [start, end) limits
  
      To cover a gap in data returned from NDS