def METHOD_NAME():
    from nltk.sem import cooper_storage as cs
    sentence = "every girl chases a dog"
    # sentence = "a man gives a bone to every dog"
    print()
    print("Analysis of sentence '%s'" % sentence)
    print("=" * 50)
    trees = cs.parse_with_bindops(sentence, trace=0)
    for tree in trees:
        semrep = cs.CooperStore(tree.label()["SEM"])
        print()
        print("Binding operators:")
        print("-" * 15)
        for s in semrep.store:
            print(s)
        print()
        print("Core:")
        print("-" * 15)
        print(semrep.core)
        print()
        print("S-Retrieval:")
        print("-" * 15)
        semrep.s_retrieve(trace=True)
        print("Readings:")
        print("-" * 15)
        for i, reading in enumerate(semrep.readings):
            print(f"{i + 1}: {reading}")