code: def read(cls, source, *args, **kwargs):
          
          from .io.core import read as timeseries_reader
          return timeseries_reader(cls, source, *args, **kwargs)
docs: Read data into a `TimeSeries`
  
          Arguments and keywords depend on the output format, see the
          online documentation for full details for each format, the parameters
          below are common to most formats.
  
          Parameters
          ----------
          source : `str`, `list`
              Source of data, any of the following:
  
              - `str` path of single data file,
              - `str` path of LAL-format cache file,
              - `list` of paths.
  
          name : `str`, `~gwpy.detector.Channel`
              the name of the channel to read, or a `Channel` object.
  
          start : `~gwpy.time.LIGOTimeGPS`, `float`, `str`, optional
              GPS start time of required data, defaults to start of data found;
              any input parseable by `~gwpy.time.to_gps` is fine
  
          end : `~gwpy.time.LIGOTimeGPS`, `float`, `str`, optional
              GPS end time of required data, defaults to end of data found;
              any input parseable by `~gwpy.time.to_gps` is fine
  
          format : `str`, optional
              source format identifier. If not given, the format will be
              detected if possible. See below for list of acceptable
              formats.
  
          nproc : `int`, optional
              number of parallel processes to use, serial process by
              default.
  
          pad : `float`, optional
              value with which to fill gaps in the source data,
              by default gaps will result in a `ValueError`.
  
          Notes
          -----