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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 CRPS(label, pred):
 """ Custom evaluation metric on CRPS. """

    for i in range(pred.shape[0]):
        for j in range(pred.shape[1] - 1):
            if pred[i, j] > pred[i, j + 1]:
                pred[i, j + 1] = pred[i, j]
    return np.sum(np.square(label - pred)) / label.size