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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 normalize_pdf(mu, pofmu):
 """ Takes a function pofmu defined at rate sample values mu and normalizes it to be a suitable pdf. Both mu and pofmu must be arrays or lists of the same length. """

    if min(pofmu) < 0:
        raise ValueError("Probabilities cannot be negative, don't ask me to "
                         "normalize a function with negative values!")
    if min(mu) < 0:
        raise ValueError("Rates cannot be negative, don't ask me to "
                         "normalize a function over a negative domain!")

    dp = integral_element(mu, pofmu)
    return mu, pofmu/sum(dp)