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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 calc_smoothpar_logistic2(metapar):
 """Return the smoothing parameter corresponding to the given meta parameter when using |smooth_logistic2|. Calculate the smoothing parameter value corresponding the meta parameter value 2.5: Using this smoothing parameter value, the output of function |smooth_logistic2| differs by 1 % from the related `true` discontinuous step function for the input values -2.5 and 2.5 (which are located at a distance of 2.5 from the position of the discontinuity):
 0.01 2.51 For zero or negative meta parameter values, a zero smoothing parameter value is returned: 0.0 0.0 """

    if metapar <= 0.:
        return 0.
    return optimize.newton(_error_smoothpar_logistic2,
                           .3 * metapar**.84,
                           _smooth_logistic2_derivative,
                           args=(metapar,))