Test/linux-devkit/sysroots/armv7ahf-neon-linux-gnueabi/usr/include/boost/graph/geodesic_distance.hpp

// (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