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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 enrich_relations(rdf, enrich_mappings, use_narrower, use_transitive):
 """Enrich the SKOS relations according to SKOS semantics, including subproperties of broader and symmetric related properties. If use_narrower is True, include inverse narrower relations for all broader relations. If use_narrower is False, instead remove all narrower relations, replacing them with inverse broader relations. If use_transitive is True, calculate transitive hierarchical relationships. (broaderTransitive, and also narrowerTransitive if use_narrower is True) and include them in the model. """


    # 1. first enrich mapping relationships (because they affect regular ones)

    if enrich_mappings:
        infer.skos_symmetric_mappings(rdf)
        infer.skos_hierarchical_mappings(rdf, use_narrower)

    # 2. then enrich regular relationships

    # related <-> related
    infer.skos_related(rdf)

    # broaderGeneric -> broader + inverse narrowerGeneric
    for s, o in rdf.subject_objects(SKOSEXT.broaderGeneric):
        rdf.add((s, SKOS.broader, o))

    # broaderPartitive -> broader + inverse narrowerPartitive
    for s, o in rdf.subject_objects(SKOSEXT.broaderPartitive):
        rdf.add((s, SKOS.broader, o))

    infer.skos_hierarchical(rdf, use_narrower)

    # transitive closure: broaderTransitive and narrowerTransitive
    if use_transitive:
        infer.skos_transitive(rdf, use_narrower)
    else:
        # transitive relationships are not wanted, so remove them
        for s, o in rdf.subject_objects(SKOS.broaderTransitive):
            rdf.remove((s, SKOS.broaderTransitive, o))
        for s, o in rdf.subject_objects(SKOS.narrowerTransitive):
            rdf.remove((s, SKOS.narrowerTransitive, o))

    infer.skos_topConcept(rdf)