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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 GaussianCdfInverse(p, mu=0, sigma=1):
 """Evaluates the inverse CDF of the gaussian distribution. See http://en.wikipedia.org/wiki/Normal_distribution#Quantile_function Args: p: float mu: mean parameter sigma: standard deviation parameter Returns: float """

    x = ROOT2 * erfinv(2 * p - 1)
    return mu + x * sigma