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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 select_from_cluster(idx_key, idx_list, measure_vect):
 """ Select a single source from a cluster and make it the new cluster key Parameters idx_key : int index of the current key for a cluster list of the other source indices in the cluster measure_vect : np.narray((nsrc),float) vector of the measure used to select the best source in the cluster returns best_idx:out_list where best_idx is the index of the best source in the cluster and out_list is the list of all the other indices """

    best_idx = idx_key
    best_measure = measure_vect[idx_key]
    out_list = [idx_key] + idx_list
    for idx, measure in zip(idx_list, measure_vect[idx_list]):
        if measure < best_measure:
            best_idx = idx
            best_measure = measure
    out_list.remove(best_idx)
    return best_idx, out_list