alpar@906
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/* -*- C++ -*-
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alpar@921
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* src/test/dijkstra_heap_test.cc - Part of LEMON, a generic C++ optimization library
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alpar@906
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*
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alpar@1164
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* Copyright (C) 2005 Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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alpar@906
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* (Egervary Combinatorial Optimization Research Group, EGRES).
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*
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* Permission to use, modify and distribute this software is granted
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* provided that this copyright notice appears in all copies. For
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alpar@906
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* precise terms see the accompanying LICENSE file.
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alpar@906
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*
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* This software is provided "AS IS" with no warranty of any kind,
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* express or implied, and with no claim as to its suitability for any
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* purpose.
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*
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*/
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//Tests dijsktra.h with two heap implementations:
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//the default binary heap of bin_heap.h, and the
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jacint@384
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//Fibonacci heap of fib_heap.h.
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//The input is a graph in standard dimacs format from the standard input (like
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//in /lemon_loc/testfiles/dimacs). It runs dijkstra.h on this graph with both
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//heaps, checking two postconditions:
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jacint@384
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//- if the edges e=uv of the shortest path tree reported by dijkstra.h have
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//dist(v)-dist(u)=length(e)
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// - if all edges e=uv with u reachable from the root have
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//dist(v)-dist(u)>=length(e)
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#include <iostream>
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#include <math.h>
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#include <lemon/smart_graph.h>
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#include <lemon/graph_writer.h>
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#include <lemon/map_utils.h>
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#include <lemon/dimacs.h>
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#include <lemon/dijkstra.h>
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#include <lemon/time_measure.h>
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#include <lemon/graph_utils.h>
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#include <lemon/bin_heap.h>
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#include <lemon/fib_heap.h>
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#include <lemon/radix_heap.h>
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using namespace lemon;
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typedef ListGraph Graph;
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typedef Graph::Edge Edge;
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typedef Graph::Node Node;
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typedef Graph::EdgeIt EdgeIt;
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typedef Graph::NodeIt NodeIt;
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typedef Graph::EdgeMap<int> LengthMap;
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struct FibTraits : public DijkstraDefaultTraits<Graph, LengthMap> {
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typedef FibHeap<Graph::Node, LengthMap::Value, Graph::NodeMap<int> > Heap;
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};
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struct RadixTraits : public DijkstraDefaultTraits<Graph, LengthMap> {
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typedef RadixHeap<Graph::Node, Graph::NodeMap<int> > Heap;
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};
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int main(int argc, const char* argv[]) {
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Graph graph;
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Node s, t;
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LengthMap cap(graph);
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readDimacs(std::cin, graph, cap, s, t);
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Timer ts;
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GraphWriter<Graph> writer(std::cout, graph);
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IdMap<Graph, Node> nodeIdMap(graph);
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writer.addNodeMap("id", nodeIdMap);
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IdMap<Graph, Edge> edgeIdMap(graph);
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writer.addEdgeMap("id", edgeIdMap);
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writer.addEdgeMap("cap", cap);
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writer.run();
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std::cout <<
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"\n Testing dijkstra.h with binary heap implementation bin_heap.h,"
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<<std::endl;
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std::cout<<" on a graph with " <<
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countNodes(graph) << " nodes and " << countEdges(graph) << " edges..."
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<< std::endl<<std::endl;
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Dijkstra<Graph, LengthMap>
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dijkstra_test(graph, cap);
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ts.reset();
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dijkstra_test.run(s);
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std::cout << "elapsed time: " << ts << std::endl;
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int error1=0;
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int error2=0;
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for(EdgeIt e(graph); e!=INVALID; ++e) {
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Node u=graph.source(e);
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Node v=graph.target(e);
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if ( dijkstra_test.dist(v) - dijkstra_test.dist(u) > cap[e] )
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if ( dijkstra_test.reached(u) ) {
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std::cout<<"Error! dist(target)-dist(source)- edge_length= "
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<<dijkstra_test.dist(v) - dijkstra_test.dist(u)
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- cap[e]<<std::endl;
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++error1;
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}
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}
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NodeIt v;
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for(NodeIt v(graph); v!=INVALID; ++v) {
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if ( dijkstra_test.reached(v) ) {
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Edge e=dijkstra_test.pred(v);
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if(e!=INVALID) {
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Node u=graph.source(e);
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if ( dijkstra_test.dist(v) - dijkstra_test.dist(u) != cap[e] ) {
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std::cout<<"Error in a shortest path tree edge! Difference: "
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<<std::abs(dijkstra_test.dist(v) - dijkstra_test.dist(u)
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- cap[e])<<std::endl;
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++error2;
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}
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}
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}
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}
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std::cout << error1 << " non-tree and " << error2
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<< " shortest path tree edge is erroneous."<<std::endl;
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std::cout <<
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"\n\n Testing dijkstra.h with Fibonacci heap implementation fib_heap.h,"
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<<std::endl;
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std::cout<<" on a graph with " <<
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countNodes(graph) << " nodes and " << countEdges(graph) << " edges..."
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<< std::endl<<std::endl;
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Dijkstra<Graph, LengthMap, FibTraits>
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dijkstra_test2(graph, cap);
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ts.reset();
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dijkstra_test2.run(s);
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std::cout << "elapsed time: " << ts << std::endl;
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error1=0;
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error2=0;
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for(EdgeIt e(graph); e!=INVALID; ++e) {
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Node u=graph.source(e);
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Node v=graph.target(e);
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if ( dijkstra_test2.dist(v) - dijkstra_test2.dist(u) > cap[e] )
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if ( dijkstra_test2.reached(u) ) {
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std::cout<<"Error! dist(target)-dist(source)- edge_length= "
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<<dijkstra_test2.dist(v) - dijkstra_test2.dist(u)
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- cap[e]<<std::endl;
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++error1;
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}
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}
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for(NodeIt n(graph); v!=INVALID; ++v) {
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if ( dijkstra_test2.reached(v) ) {
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Edge e=dijkstra_test2.pred(v);
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if(e!=INVALID) {
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Node u=graph.source(e);
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if ( dijkstra_test2.dist(v) - dijkstra_test2.dist(u) != cap[e] ) {
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std::cout<<"Error in a shortest path tree edge! Difference: "
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<<std::abs(dijkstra_test2.dist(v) - dijkstra_test2.dist(u)
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- cap[e])<<std::endl;
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++error2;
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}
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}
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}
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}
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std::cout << error1 << " non-tree and " << error2
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<< " shortest path tree edge is erroneous."<<std::endl;
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std::cout <<
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"\n\n Testing dijkstra.h with Radix heap implementation radix_heap.h,"
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<<std::endl;
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std::cout<<" on a graph with " <<
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countNodes(graph) << " nodes and " << countEdges(graph) << " edges..."
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<< std::endl<<std::endl;
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Dijkstra<Graph, LengthMap, RadixTraits>
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dijkstra_test3(graph, cap);
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ts.reset();
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dijkstra_test3.run(s);
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std::cout << "elapsed time: " << ts << std::endl;
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error1=0;
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error2=0;
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for(EdgeIt e(graph); e!=INVALID; ++e) {
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Node u=graph.source(e);
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Node v=graph.target(e);
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if ( dijkstra_test3.dist(v) - dijkstra_test3.dist(u) > cap[e] )
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if ( dijkstra_test3.reached(u) ) {
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std::cout<<"Error! dist(target)-dist(source)- edge_length= "
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<<dijkstra_test3.dist(v) - dijkstra_test3.dist(u)
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- cap[e]<<std::endl;
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++error1;
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}
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}
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for(NodeIt n(graph); v!=INVALID; ++v) {
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if ( dijkstra_test3.reached(v) ) {
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Edge e=dijkstra_test3.pred(v);
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if(e!=INVALID) {
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Node u=graph.source(e);
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if ( dijkstra_test3.dist(v) - dijkstra_test3.dist(u) != cap[e] ) {
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std::cout<<"Error in a shortest path tree edge! Difference: "
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<<std::abs(dijkstra_test3.dist(v) - dijkstra_test3.dist(u)
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- cap[e])<<std::endl;
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++error2;
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}
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}
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}
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}
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std::cout << error1 << " non-tree and " << error2
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<< " shortest path tree edge is erroneous."<<std::endl;
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return 0;
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}
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