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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 sle(actual, predicted):
 """ Computes the squared log error. This function computes the squared log error between two numbers, or for element between a pair of lists or numpy arrays. Parameters actual : int, float, list of numbers, numpy array The ground truth value predicted : same type as actual The predicted value Returns ------- score : double or list of doubles The squared log error between actual and predicted """

    return (np.power(np.log(np.array(actual)+1) - 
            np.log(np.array(predicted)+1), 2))