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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(score, alpha=15):
 """ Normalize the score to be between -1 and 1 using an alpha that approximates the max expected value """

    norm_score = score / math.sqrt((score * score) + alpha)
    if norm_score < -1.0:
        return -1.0
    elif norm_score > 1.0:
        return 1.0
    else:
        return norm_score