247 lines
6.9 KiB
C++
247 lines
6.9 KiB
C++
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// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2015 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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#include "ceres/graph_algorithms.h"
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#include <algorithm>
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#include "gtest/gtest.h"
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#include "ceres/collections_port.h"
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#include "ceres/graph.h"
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#include "ceres/internal/port.h"
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#include "ceres/internal/scoped_ptr.h"
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namespace ceres {
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namespace internal {
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using std::vector;
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TEST(IndependentSetOrdering, Chain) {
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Graph<int> graph;
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graph.AddVertex(0);
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graph.AddVertex(1);
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graph.AddVertex(2);
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graph.AddVertex(3);
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graph.AddVertex(4);
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graph.AddEdge(0, 1);
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graph.AddEdge(1, 2);
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graph.AddEdge(2, 3);
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graph.AddEdge(3, 4);
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// 0-1-2-3-4
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// 0, 2, 4 should be in the independent set.
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vector<int> ordering;
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int independent_set_size = IndependentSetOrdering(graph, &ordering);
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sort(ordering.begin(), ordering.begin() + 3);
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sort(ordering.begin() + 3, ordering.end());
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EXPECT_EQ(independent_set_size, 3);
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EXPECT_EQ(ordering.size(), 5);
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EXPECT_EQ(ordering[0], 0);
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EXPECT_EQ(ordering[1], 2);
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EXPECT_EQ(ordering[2], 4);
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EXPECT_EQ(ordering[3], 1);
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EXPECT_EQ(ordering[4], 3);
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}
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TEST(IndependentSetOrdering, Star) {
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Graph<int> graph;
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graph.AddVertex(0);
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graph.AddVertex(1);
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graph.AddVertex(2);
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graph.AddVertex(3);
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graph.AddVertex(4);
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graph.AddEdge(0, 1);
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graph.AddEdge(0, 2);
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graph.AddEdge(0, 3);
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graph.AddEdge(0, 4);
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// 1
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// |
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// 4-0-2
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// |
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// 3
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// 1, 2, 3, 4 should be in the indepdendent set.
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vector<int> ordering;
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int independent_set_size = IndependentSetOrdering(graph, &ordering);
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EXPECT_EQ(independent_set_size, 4);
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EXPECT_EQ(ordering.size(), 5);
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EXPECT_EQ(ordering[4], 0);
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sort(ordering.begin(), ordering.begin() + 4);
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EXPECT_EQ(ordering[0], 1);
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EXPECT_EQ(ordering[1], 2);
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EXPECT_EQ(ordering[2], 3);
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EXPECT_EQ(ordering[3], 4);
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}
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TEST(Degree2MaximumSpanningForest, PreserveWeights) {
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WeightedGraph<int> graph;
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graph.AddVertex(0, 1.0);
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graph.AddVertex(1, 2.0);
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graph.AddEdge(0, 1, 0.5);
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graph.AddEdge(1, 0, 0.5);
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scoped_ptr<WeightedGraph<int> > forest(Degree2MaximumSpanningForest(graph));
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const HashSet<int>& vertices = forest->vertices();
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EXPECT_EQ(vertices.size(), 2);
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EXPECT_EQ(forest->VertexWeight(0), 1.0);
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EXPECT_EQ(forest->VertexWeight(1), 2.0);
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EXPECT_EQ(forest->Neighbors(0).size(), 1.0);
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EXPECT_EQ(forest->EdgeWeight(0, 1), 0.5);
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}
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TEST(Degree2MaximumSpanningForest, StarGraph) {
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WeightedGraph<int> graph;
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graph.AddVertex(0);
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graph.AddVertex(1);
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graph.AddVertex(2);
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graph.AddVertex(3);
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graph.AddVertex(4);
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graph.AddEdge(0, 1, 1.0);
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graph.AddEdge(0, 2, 2.0);
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graph.AddEdge(0, 3, 3.0);
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graph.AddEdge(0, 4, 4.0);
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scoped_ptr<WeightedGraph<int> > forest(Degree2MaximumSpanningForest(graph));
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const HashSet<int>& vertices = forest->vertices();
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EXPECT_EQ(vertices.size(), 5);
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{
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const HashSet<int>& neighbors = forest->Neighbors(0);
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EXPECT_EQ(neighbors.size(), 2);
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EXPECT_TRUE(neighbors.find(4) != neighbors.end());
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EXPECT_TRUE(neighbors.find(3) != neighbors.end());
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}
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{
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const HashSet<int>& neighbors = forest->Neighbors(3);
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EXPECT_EQ(neighbors.size(), 1);
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EXPECT_TRUE(neighbors.find(0) != neighbors.end());
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}
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{
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const HashSet<int>& neighbors = forest->Neighbors(4);
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EXPECT_EQ(neighbors.size(), 1);
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EXPECT_TRUE(neighbors.find(0) != neighbors.end());
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}
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{
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const HashSet<int>& neighbors = forest->Neighbors(1);
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EXPECT_EQ(neighbors.size(), 0);
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}
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{
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const HashSet<int>& neighbors = forest->Neighbors(2);
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EXPECT_EQ(neighbors.size(), 0);
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}
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}
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TEST(VertexTotalOrdering, TotalOrdering) {
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Graph<int> graph;
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graph.AddVertex(0);
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graph.AddVertex(1);
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graph.AddVertex(2);
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graph.AddVertex(3);
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// 0-1
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// |
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// 2-3
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// 0,1 and 2 have degree 1 and 3 has degree 2.
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graph.AddEdge(0, 1);
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graph.AddEdge(2, 3);
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VertexTotalOrdering<int> less_than(graph);
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for (int i = 0; i < 4; ++i) {
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EXPECT_FALSE(less_than(i, i)) << "Failing vertex: " << i;
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for (int j = 0; j < 4; ++j) {
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if (i != j) {
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EXPECT_TRUE(less_than(i, j) ^ less_than(j, i))
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<< "Failing vertex pair: " << i << " " << j;
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}
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}
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}
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for (int i = 0; i < 3; ++i) {
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EXPECT_TRUE(less_than(i, 3));
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EXPECT_FALSE(less_than(3, i));
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}
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}
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TEST(StableIndependentSet, BreakTies) {
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Graph<int> graph;
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graph.AddVertex(0);
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graph.AddVertex(1);
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graph.AddVertex(2);
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graph.AddVertex(3);
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graph.AddEdge(0, 1);
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graph.AddEdge(0, 2);
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graph.AddEdge(0, 3);
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graph.AddEdge(1, 2);
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graph.AddEdge(1, 3);
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graph.AddEdge(2, 3);
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// Since this is a completely connected graph, the independent set
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// contains exactly one vertex. StableIndependentSetOrdering
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// guarantees that it will always be the first vertex in the
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// ordering vector.
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{
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vector<int> ordering;
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ordering.push_back(0);
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ordering.push_back(1);
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ordering.push_back(2);
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ordering.push_back(3);
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const int independent_set_size =
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StableIndependentSetOrdering(graph, &ordering);
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EXPECT_EQ(independent_set_size, 1);
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EXPECT_EQ(ordering[0], 0);
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}
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{
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vector<int> ordering;
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ordering.push_back(1);
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ordering.push_back(0);
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ordering.push_back(2);
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ordering.push_back(3);
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const int independent_set_size =
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StableIndependentSetOrdering(graph, &ordering);
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EXPECT_EQ(independent_set_size, 1);
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EXPECT_EQ(ordering[0], 1);
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}
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}
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} // namespace internal
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} // namespace ceres
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