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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 js_distance(p, q):
 """Compute the Jensen-Shannon distance between two discrete distributions. NOTE: JS divergence is not a metric but the sqrt of JS divergence is a metric and is called the JS distance. Parameters p : np.array probability mass array (sums to 1) q : np.array probability mass array (sums to 1) Returns ------- js_dist : float Jensen-Shannon distance between two discrete distributions """

    js_dist = np.sqrt(js_divergence(p, q))
    return js_dist