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