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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 execute(self, timeSeries):
 """Creates a new TimeSeries containing the SMA values for the predefined windowsize. :param TimeSeries timeSeries: The TimeSeries used to calculate the simple moving average values. :return: TimeSeries object containing the smooth moving average. :rtype: TimeSeries :raise: Raises a :py:exc:`ValueError` wif the defined windowsize is larger than the number of elements in timeSeries :note: This implementation aims to support independent for loop execution. """

        windowsize    = self._parameters["windowsize"]

        if len (timeSeries) < windowsize:
            raise ValueError("windowsize is larger than the number of elements in timeSeries.")

        tsLength      = len(timeSeries)
        nbrOfLoopRuns = tsLength - windowsize + 1

        res = TimeSeries()
        for idx in xrange(nbrOfLoopRuns):
            end = idx + windowsize
            data = timeSeries[idx:end]

            timestamp = data[windowsize//2][0]
            value     = sum([i[1] for i in data])/windowsize

            res.add_entry(timestamp, value)

        res.sort_timeseries()
        return res