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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 onesided_cl_to_dlnl(cl):
 """Compute the delta-loglikehood values that corresponds to an upper limit of the given confidence level. Parameters cl : float Confidence level. Returns ------- dlnl : float Delta-loglikelihood value with respect to the maximum of the likelihood function. """

    alpha = 1.0 - cl
    return 0.5 * np.power(np.sqrt(2.) * special.erfinv(1 - 2 * alpha), 2.)