<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def confusion_matrix( gold, pred, null_pred=False, null_gold=False, normalize=False, pretty_print=True ):
 """A shortcut method for building a confusion matrix all at once. Args: gold: an array-like of gold labels (ints) pred: an array-like of predictions (ints) null_pred: If True, include the row corresponding to null predictions null_gold: If True, include the col corresponding to null gold labels normalize: if True, divide counts by the total number of items pretty_print: if True, pretty-print the matrix before returning """

    conf = ConfusionMatrix(null_pred=null_pred, null_gold=null_gold)
    gold = arraylike_to_numpy(gold)
    pred = arraylike_to_numpy(pred)
    conf.add(gold, pred)
    mat = conf.compile()

    if normalize:
        mat = mat / len(gold)

    if pretty_print:
        conf.display(normalize=normalize)

    return mat