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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 calculate_parameters(self, independentTs, dependentTs):
 """Calculate and return the parameters for the regression line Return the parameter for the line describing the relationship between the input variables. :param Timeseries independentTs: The Timeseries used for the independent variable (x-axis). The Timeseries must have at least 2 datapoints with different dates and values :param Timeseries dependentTs: The Timeseries used as the dependent variable (y-axis). The Timeseries must have at least 2 datapoints, which dates match with independentTs :return: A tuple containing the y-axis intercept and the slope used to execute the regression :rtype: tuple :raise: Raises an :py:exc:`ValueError` if - independentTs and dependentTs have not at least two matching dates - independentTs has only one distinct value - The dates in one or both Timeseries are not distinct. """

        listX, listY = self.match_time_series(independentTs, dependentTs)

        if len(listX) == 0 or len(listY) == 0:
            raise ValueError("Lists need to have some equal dates or cannot be empty")
        if len(listX) != len(listY):
            raise ValueError("Each Timeseries need to have distinct dates")

        xValues = map(lambda item: item[1], listX)
        yValues = map(lambda item: item[1], listY)

        xMean = FusionMethods["mean"](xValues)
        yMean = FusionMethods["mean"](yValues)

        xDeviation = map(lambda item: (item - xMean), xValues)
        yDeviation = map(lambda item: (item - yMean), yValues)

        try:
            parameter1 = sum(x * y for x, y in zip(xDeviation, yDeviation)) / sum(x * x for x in xDeviation)
        except ZeroDivisionError:
            # error occures if xDeviation is always 0, which means that all x values are the same
            raise ValueError("Not enough distinct x values")
        parameter0 = yMean - (parameter1 * xMean)

        return (parameter0, parameter1)