266 lines
9.3 KiB
C++
266 lines
9.3 KiB
C++
//=======================================================================
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// Copyright 1997, 1998, 1999, 2000 University of Notre Dame.
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// Copyright (C) Vladimir Prus 2003
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// Authors: Andrew Lumsdaine, Lie-Quan Lee, Jeremy G. Siek
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//
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// Distributed under the Boost Software License, Version 1.0. (See
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// accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt)
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//=======================================================================
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#ifndef BOOST_GRAPH_RANDOM_HPP
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#define BOOST_GRAPH_RANDOM_HPP
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#include <boost/graph/graph_traits.hpp>
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#include <boost/random/uniform_int.hpp>
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#include <boost/random/uniform_real.hpp>
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#include <boost/random/variate_generator.hpp>
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#include <boost/pending/property.hpp>
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#include <boost/graph/properties.hpp>
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#include <boost/graph/iteration_macros.hpp>
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#include <boost/next_prior.hpp>
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#include <boost/graph/adjacency_list.hpp>
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#include <boost/graph/copy.hpp>
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#include <boost/mpl/if.hpp>
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#include <boost/type_traits/is_convertible.hpp>
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#include <iostream>
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#include <boost/assert.hpp>
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namespace boost {
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// grab a random vertex from the graph's vertex set
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template <class Graph, class RandomNumGen>
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typename graph_traits<Graph>::vertex_descriptor
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random_vertex(Graph& g, RandomNumGen& gen)
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{
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if (num_vertices(g) > 1) {
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#if BOOST_WORKAROUND( __BORLANDC__, BOOST_TESTED_AT(0x581))
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std::size_t n = std::random( num_vertices(g) );
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#else
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uniform_int<> distrib(0, num_vertices(g)-1);
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variate_generator<RandomNumGen&, uniform_int<> > rand_gen(gen, distrib);
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std::size_t n = rand_gen();
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#endif
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typename graph_traits<Graph>::vertex_iterator
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i = vertices(g).first;
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return *(boost::next(i, n));
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} else
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return *vertices(g).first;
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}
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template <class Graph, class RandomNumGen>
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typename graph_traits<Graph>::edge_descriptor
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random_edge(Graph& g, RandomNumGen& gen) {
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if (num_edges(g) > 1) {
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#if BOOST_WORKAROUND( __BORLANDC__, BOOST_TESTED_AT(0x581))
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typename graph_traits<Graph>::edges_size_type
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n = std::random( num_edges(g) );
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#else
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uniform_int<> distrib(0, num_edges(g)-1);
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variate_generator<RandomNumGen&, uniform_int<> > rand_gen(gen, distrib);
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typename graph_traits<Graph>::edges_size_type
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n = rand_gen();
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#endif
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typename graph_traits<Graph>::edge_iterator
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i = edges(g).first;
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return *(boost::next(i, n));
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} else
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return *edges(g).first;
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}
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template <typename Graph, typename RandomNumGen>
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typename graph_traits<Graph>::edge_descriptor
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random_out_edge(Graph& g, typename graph_traits<Graph>::vertex_descriptor src, RandomNumGen& gen) {
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typedef typename graph_traits<Graph>::degree_size_type degree_size_type;
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typedef boost::uniform_int<degree_size_type> ui_type;
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ui_type ui(0, out_degree(src, g) - 1);
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boost::variate_generator<RandomNumGen&, ui_type>
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variate(gen, ui);
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typename graph_traits<Graph>::out_edge_iterator it = out_edges(src, g).first;
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std::advance(it, variate());
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return *it;
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}
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template <typename Graph, typename WeightMap, typename RandomNumGen>
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typename graph_traits<Graph>::edge_descriptor
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weighted_random_out_edge(Graph& g, typename graph_traits<Graph>::vertex_descriptor src, WeightMap weight, RandomNumGen& gen) {
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typedef typename property_traits<WeightMap>::value_type weight_type;
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weight_type weight_sum(0);
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BGL_FORALL_OUTEDGES_T(src, e, g, Graph) {weight_sum += get(weight, e);}
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typedef boost::uniform_real<> ur_type;
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ur_type ur(0, weight_sum);
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boost::variate_generator<RandomNumGen&, ur_type>
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variate(gen, ur);
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weight_type chosen_weight = variate();
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BGL_FORALL_OUTEDGES_T(src, e, g, Graph) {
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weight_type w = get(weight, e);
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if (chosen_weight < w) {
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return e;
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} else {
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chosen_weight -= w;
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}
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}
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BOOST_ASSERT (false); // Should not get here
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return typename graph_traits<Graph>::edge_descriptor();
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}
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namespace detail {
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class dummy_property_copier {
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public:
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template<class V1, class V2>
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void operator()(const V1&, const V2&) const {}
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};
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}
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template <typename MutableGraph, class RandNumGen>
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void generate_random_graph1
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(MutableGraph& g,
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typename graph_traits<MutableGraph>::vertices_size_type V,
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typename graph_traits<MutableGraph>::vertices_size_type E,
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RandNumGen& gen,
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bool allow_parallel = true,
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bool self_edges = false)
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{
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typedef graph_traits<MutableGraph> Traits;
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typedef typename Traits::edge_descriptor edge_t;
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typedef typename Traits::vertices_size_type v_size_t;
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typedef typename Traits::edges_size_type e_size_t;
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typedef typename Traits::vertex_descriptor vertex_descriptor;
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// When parallel edges are not allowed, we create a new graph which
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// does not allow parallel edges, construct it and copy back.
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// This is not efficient if 'g' already disallow parallel edges,
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// but that's task for later.
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if (!allow_parallel) {
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typedef typename boost::graph_traits<MutableGraph>::directed_category dir;
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typedef typename mpl::if_<is_convertible<dir, directed_tag>,
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directedS, undirectedS>::type select;
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adjacency_list<setS, vecS, select> g2;
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generate_random_graph1(g2, V, E, gen, true, self_edges);
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copy_graph(g2, g, vertex_copy(detail::dummy_property_copier()).
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edge_copy(detail::dummy_property_copier()));
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} else {
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for (v_size_t i = 0; i < V; ++i)
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add_vertex(g);
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e_size_t not_inserted_counter = 0; /* Number of edge insertion failures */
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e_size_t num_vertices_squared = num_vertices(g) * num_vertices(g);
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for (e_size_t j = 0; j < E; /* Increment in body */) {
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vertex_descriptor a = random_vertex(g, gen), b;
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do {
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b = random_vertex(g, gen);
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} while (self_edges == false && a == b);
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edge_t e; bool inserted;
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boost::tie(e, inserted) = add_edge(a, b, g);
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if (inserted) {
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++j;
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} else {
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++not_inserted_counter;
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}
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if (not_inserted_counter >= num_vertices_squared) {
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return; /* Rather than looping forever on complete graph */
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}
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}
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}
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}
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template <typename MutableGraph, class RandNumGen>
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void generate_random_graph
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(MutableGraph& g,
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typename graph_traits<MutableGraph>::vertices_size_type V,
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typename graph_traits<MutableGraph>::vertices_size_type E,
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RandNumGen& gen,
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bool allow_parallel = true,
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bool self_edges = false)
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{
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generate_random_graph1(g, V, E, gen, allow_parallel, self_edges);
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}
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template <typename MutableGraph, typename RandNumGen,
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typename VertexOutputIterator, typename EdgeOutputIterator>
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void generate_random_graph
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(MutableGraph& g,
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typename graph_traits<MutableGraph>::vertices_size_type V,
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typename graph_traits<MutableGraph>::vertices_size_type E,
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RandNumGen& gen,
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VertexOutputIterator vertex_out,
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EdgeOutputIterator edge_out,
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bool self_edges = false)
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{
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typedef graph_traits<MutableGraph> Traits;
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typedef typename Traits::vertices_size_type v_size_t;
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typedef typename Traits::edges_size_type e_size_t;
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typedef typename Traits::vertex_descriptor vertex_t;
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typedef typename Traits::edge_descriptor edge_t;
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for (v_size_t i = 0; i < V; ++i)
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*vertex_out++ = add_vertex(g);
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e_size_t not_inserted_counter = 0; /* Number of edge insertion failures */
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e_size_t num_vertices_squared = num_vertices(g) * num_vertices(g);
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for (e_size_t j = 0; j < E; /* Increment in body */) {
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vertex_t a = random_vertex(g, gen), b;
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do {
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b = random_vertex(g, gen);
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} while (self_edges == false && a == b);
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edge_t e; bool inserted;
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boost::tie(e, inserted) = add_edge(a, b, g);
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if (inserted) {
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*edge_out++ = std::make_pair(source(e, g), target(e, g));
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++j;
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} else {
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++not_inserted_counter;
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}
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if (not_inserted_counter >= num_vertices_squared) {
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return; /* Rather than looping forever on complete graph */
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}
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}
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}
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namespace detail {
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template<class Property, class G, class RandomGenerator>
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void randomize_property(G& g, RandomGenerator& rg,
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Property, vertex_property_tag)
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{
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typename property_map<G, Property>::type pm = get(Property(), g);
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typename graph_traits<G>::vertex_iterator vi, ve;
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for (boost::tie(vi, ve) = vertices(g); vi != ve; ++vi) {
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pm[*vi] = rg();
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}
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}
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template<class Property, class G, class RandomGenerator>
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void randomize_property(G& g, RandomGenerator& rg,
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Property, edge_property_tag)
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{
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typename property_map<G, Property>::type pm = get(Property(), g);
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typename graph_traits<G>::edge_iterator ei, ee;
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for (boost::tie(ei, ee) = edges(g); ei != ee; ++ei) {
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pm[*ei] = rg();
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}
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}
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}
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template<class Property, class G, class RandomGenerator>
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void randomize_property(G& g, RandomGenerator& rg)
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{
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detail::randomize_property
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(g, rg, Property(), typename property_kind<Property>::type());
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}
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}
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#include <boost/graph/iteration_macros_undef.hpp>
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#endif
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