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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def read(source, channels, start=None, end=None, series_class=TimeSeries, scaled=None):
 """Read data from one or more GWF files using the LALFrame API """

    # scaled must be provided to provide a consistent API with frameCPP
    if scaled is not None:
        warnings.warn(
            "the `scaled` keyword argument is not supported by lalframe, "
            "if you require ADC scaling, please install "
            "python-ldas-tools-framecpp",
        )

    stream = open_data_source(source)

    # parse times and restrict to available data
    epoch = lal.LIGOTimeGPS(stream.epoch.gpsSeconds,
                            stream.epoch.gpsNanoSeconds)
    streamdur = get_stream_duration(stream)
    if start is None:
        start = epoch
    else:
        start = max(epoch, lalutils.to_lal_ligotimegps(start))
    if end is None:
        offset = float(start - epoch)
        duration = streamdur - offset
    else:
        end = min(epoch + streamdur, lalutils.to_lal_ligotimegps(end))
        duration = float(end - start)

    # read data
    out = series_class.DictClass()
    for name in channels:
        out[name] = series_class.from_lal(
            _read_channel(stream, str(name), start=start, duration=duration),
            copy=False)
        lalframe.FrStreamSeek(stream, epoch)
    return out