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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 probabilities(items, params):
 """Compute the comparison outcome probabilities given a subset of items. This function computes, for each item in ``items``, the probability that it would win (i.e., be chosen) in a comparison involving the items, given model parameters. Parameters items : list Subset of items to compare. params : array_like Model parameters. Returns ------- probs : numpy.ndarray A probability distribution over ``items``. """

    params = np.asarray(params)
    return softmax(params.take(items))