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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 _get_parameter_intervals(self):
 """Returns the intervals for the methods parameter. Only parameters with defined intervals can be used for optimization! :return: Returns a dictionary containing the parameter intervals, using the parameter name as key, while the value hast the following format: [minValue, maxValue, minIntervalClosed, maxIntervalClosed] - minValue Minimal value for the parameter - maxValue Maximal value for the parameter - minIntervalClosed :py:const:`True`, if minValue represents a valid value for the parameter. :py:const:`False` otherwise. - maxIntervalClosed: :py:const:`True`, if maxValue represents a valid value for the parameter. :py:const:`False` otherwise. :rtype: dictionary """

        parameterIntervals = {}

        parameterIntervals["smoothingFactor"]      = [0.0, 1.0, False, False]
        parameterIntervals["trendSmoothingFactor"] = [0.0, 1.0, False, False]

        return parameterIntervals