mirror of
https://github.com/ecency/ecency-mobile.git
synced 2024-12-21 04:11:50 +03:00
212 lines
8.0 KiB
C++
212 lines
8.0 KiB
C++
// (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
|