| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216 | // (C) Copyright Andrew Sutton 2007//// Use, modification and distribution are subject to the// Boost Software License, Version 1.0 (See accompanying file// LICENSE_1_0.txt or http://www.boost.org/LICENSE_1_0.txt)#ifndef BOOST_GRAPH_GEODESIC_DISTANCE_HPP#define BOOST_GRAPH_GEODESIC_DISTANCE_HPP#include <boost/graph/detail/geodesic.hpp>#include <boost/graph/exterior_property.hpp>#include <boost/concept/assert.hpp>namespace boost{template < typename Graph, typename DistanceType, typename ResultType,    typename Divides = std::divides< ResultType > >struct mean_geodesic_measure: public geodesic_measure< Graph, DistanceType, ResultType >{    typedef geodesic_measure< Graph, DistanceType, ResultType > base_type;    typedef typename base_type::distance_type distance_type;    typedef typename base_type::result_type result_type;    result_type operator()(distance_type d, const Graph& g)    {        BOOST_CONCEPT_ASSERT((VertexListGraphConcept< Graph >));        BOOST_CONCEPT_ASSERT((NumericValueConcept< DistanceType >));        BOOST_CONCEPT_ASSERT((NumericValueConcept< ResultType >));        BOOST_CONCEPT_ASSERT((AdaptableBinaryFunctionConcept< Divides,            ResultType, ResultType, ResultType >));        return (d == base_type::infinite_distance())            ? base_type::infinite_result()            : div(result_type(d), result_type(num_vertices(g) - 1));    }    Divides div;};template < typename Graph, typename DistanceMap >inline mean_geodesic_measure< Graph,    typename property_traits< DistanceMap >::value_type, double >measure_mean_geodesic(const Graph&, DistanceMap){    return mean_geodesic_measure< Graph,        typename property_traits< DistanceMap >::value_type, double >();}template < typename T, typename Graph, typename DistanceMap >inline mean_geodesic_measure< Graph,    typename property_traits< DistanceMap >::value_type, T >measure_mean_geodesic(const Graph&, DistanceMap){    return mean_geodesic_measure< Graph,        typename property_traits< DistanceMap >::value_type, T >();}// This is a little different because it's expected that the result type// should (must?) be the same as the distance type. There's a type of// transitivity in this thinking... If the average of distances has type// X then the average of x's should also be type X. Is there a case where this// is not true?//// This type is a little under-genericized... It needs generic parameters// for addition and division.template < typename Graph, typename DistanceType >struct mean_graph_distance_measure: public geodesic_measure< Graph, DistanceType, DistanceType >{    typedef geodesic_measure< Graph, DistanceType, DistanceType > base_type;    typedef typename base_type::distance_type distance_type;    typedef typename base_type::result_type result_type;    inline result_type operator()(distance_type d, const Graph& g)    {        BOOST_CONCEPT_ASSERT((VertexListGraphConcept< Graph >));        BOOST_CONCEPT_ASSERT((NumericValueConcept< DistanceType >));        if (d == base_type::infinite_distance())        {            return base_type::infinite_result();        }        else        {            return d / result_type(num_vertices(g));        }    }};template < typename Graph, typename DistanceMap >inline mean_graph_distance_measure< Graph,    typename property_traits< DistanceMap >::value_type >measure_graph_mean_geodesic(const Graph&, DistanceMap){    typedef typename property_traits< DistanceMap >::value_type T;    return mean_graph_distance_measure< Graph, T >();}template < typename Graph, typename DistanceMap, typename Measure,    typename Combinator >inline typename Measure::result_type mean_geodesic(    const Graph& g, DistanceMap dist, Measure measure, Combinator combine){    BOOST_CONCEPT_ASSERT((DistanceMeasureConcept< Measure, Graph >));    typedef typename Measure::distance_type Distance;    Distance n = detail::combine_distances(g, dist, combine, Distance(0));    return measure(n, g);}template < typename Graph, typename DistanceMap, typename Measure >inline typename Measure::result_type mean_geodesic(    const Graph& g, DistanceMap dist, Measure measure){    BOOST_CONCEPT_ASSERT((DistanceMeasureConcept< Measure, Graph >));    typedef typename Measure::distance_type Distance;    return mean_geodesic(g, dist, measure, std::plus< Distance >());}template < typename Graph, typename DistanceMap >inline double mean_geodesic(const Graph& g, DistanceMap dist){    return mean_geodesic(g, dist, measure_mean_geodesic(g, dist));}template < typename T, typename Graph, typename DistanceMap >inline T mean_geodesic(const Graph& g, DistanceMap dist){    return mean_geodesic(g, dist, measure_mean_geodesic< T >(g, dist));}template < typename Graph, typename DistanceMatrixMap, typename GeodesicMap,    typename Measure >inline typename property_traits< GeodesicMap >::value_type all_mean_geodesics(    const Graph& g, DistanceMatrixMap dist, GeodesicMap geo, Measure measure){    BOOST_CONCEPT_ASSERT((VertexListGraphConcept< Graph >));    typedef typename graph_traits< Graph >::vertex_descriptor Vertex;    typedef typename graph_traits< Graph >::vertex_iterator VertexIterator;    BOOST_CONCEPT_ASSERT(        (ReadablePropertyMapConcept< DistanceMatrixMap, Vertex >));    typedef        typename property_traits< DistanceMatrixMap >::value_type DistanceMap;    BOOST_CONCEPT_ASSERT((DistanceMeasureConcept< Measure, Graph >));    typedef typename Measure::result_type Result;    BOOST_CONCEPT_ASSERT((WritablePropertyMapConcept< GeodesicMap, Vertex >));    BOOST_CONCEPT_ASSERT((NumericValueConcept< Result >));    // NOTE: We could compute the mean geodesic here by performing additional    // computations (i.e., adding and dividing). However, I don't really feel    // like fully genericizing the entire operation yet so I'm not going to.    Result inf = numeric_values< Result >::infinity();    Result sum = numeric_values< Result >::zero();    VertexIterator i, end;    for (boost::tie(i, end) = vertices(g); i != end; ++i)    {        DistanceMap dm = get(dist, *i);        Result r = mean_geodesic(g, dm, measure);        put(geo, *i, r);        // compute the sum along with geodesics        if (r == inf)        {            sum = inf;        }        else if (sum != inf)        {            sum += r;        }    }    // return the average of averages.    return sum / Result(num_vertices(g));}template < typename Graph, typename DistanceMatrixMap, typename GeodesicMap >inline typename property_traits< GeodesicMap >::value_type all_mean_geodesics(    const Graph& g, DistanceMatrixMap dist, GeodesicMap geo){    BOOST_CONCEPT_ASSERT((GraphConcept< Graph >));    typedef typename graph_traits< Graph >::vertex_descriptor Vertex;    BOOST_CONCEPT_ASSERT(        (ReadablePropertyMapConcept< DistanceMatrixMap, Vertex >));    typedef        typename property_traits< DistanceMatrixMap >::value_type DistanceMap;    BOOST_CONCEPT_ASSERT((WritablePropertyMapConcept< GeodesicMap, Vertex >));    typedef typename property_traits< GeodesicMap >::value_type Result;    return all_mean_geodesics(        g, dist, geo, measure_mean_geodesic< Result >(g, DistanceMap()));}template < typename Graph, typename GeodesicMap, typename Measure >inline typename Measure::result_type small_world_distance(    const Graph& g, GeodesicMap geo, Measure measure){    BOOST_CONCEPT_ASSERT((DistanceMeasureConcept< Measure, Graph >));    typedef typename Measure::result_type Result;    Result sum        = detail::combine_distances(g, geo, std::plus< Result >(), Result(0));    return measure(sum, g);}template < typename Graph, typename GeodesicMap >inline typename property_traits< GeodesicMap >::value_type small_world_distance(    const Graph& g, GeodesicMap geo){    return small_world_distance(g, geo, measure_graph_mean_geodesic(g, geo));}}#endif
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