| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2015 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
 | // | 
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 | // | 
 | // Author: Sameer Agarwal (sameeragarwal@google.com) | 
 |  | 
 | #include "ceres/single_linkage_clustering.h" | 
 |  | 
 | #include <unordered_map> | 
 | #include "ceres/graph.h" | 
 | #include "gtest/gtest.h" | 
 |  | 
 | namespace ceres { | 
 | namespace internal { | 
 |  | 
 | TEST(SingleLinkageClustering, GraphHasTwoComponents) { | 
 |   WeightedGraph<int> graph; | 
 |   const int kNumVertices = 6; | 
 |   for (int i = 0; i < kNumVertices; ++i) { | 
 |     graph.AddVertex(i); | 
 |   } | 
 |   // Graph structure: | 
 |   // | 
 |   //  0-1-2-3 4-5 | 
 |   graph.AddEdge(0, 1, 1.0); | 
 |   graph.AddEdge(1, 2, 1.0); | 
 |   graph.AddEdge(2, 3, 1.0); | 
 |   graph.AddEdge(4, 5, 1.0); | 
 |  | 
 |   SingleLinkageClusteringOptions options; | 
 |   std::unordered_map<int, int> membership; | 
 |   ComputeSingleLinkageClustering(options, graph, &membership); | 
 |   EXPECT_EQ(membership.size(), kNumVertices); | 
 |  | 
 |   EXPECT_EQ(membership[1], membership[0]); | 
 |   EXPECT_EQ(membership[2], membership[0]); | 
 |   EXPECT_EQ(membership[3], membership[0]); | 
 |   EXPECT_NE(membership[4], membership[0]); | 
 |   EXPECT_NE(membership[5], membership[0]); | 
 |   EXPECT_EQ(membership[4], membership[5]); | 
 | } | 
 |  | 
 | TEST(SingleLinkageClustering, ComponentWithWeakLink) { | 
 |   WeightedGraph<int> graph; | 
 |   const int kNumVertices = 6; | 
 |   for (int i = 0; i < kNumVertices; ++i) { | 
 |     graph.AddVertex(i); | 
 |   } | 
 |   // Graph structure: | 
 |   // | 
 |   //  0-1-2-3 4-5 | 
 |   graph.AddEdge(0, 1, 1.0); | 
 |   graph.AddEdge(1, 2, 1.0); | 
 |   graph.AddEdge(2, 3, 1.0); | 
 |  | 
 |   // This component should break up into two. | 
 |   graph.AddEdge(4, 5, 0.5); | 
 |  | 
 |   SingleLinkageClusteringOptions options; | 
 |   std::unordered_map<int, int> membership; | 
 |   ComputeSingleLinkageClustering(options, graph, &membership); | 
 |   EXPECT_EQ(membership.size(), kNumVertices); | 
 |  | 
 |   EXPECT_EQ(membership[1], membership[0]); | 
 |   EXPECT_EQ(membership[2], membership[0]); | 
 |   EXPECT_EQ(membership[3], membership[0]); | 
 |   EXPECT_NE(membership[4], membership[0]); | 
 |   EXPECT_NE(membership[5], membership[0]); | 
 |   EXPECT_NE(membership[4], membership[5]); | 
 | } | 
 |  | 
 | TEST(SingleLinkageClustering, ComponentWithWeakLinkAndStrongLink) { | 
 |   WeightedGraph<int> graph; | 
 |   const int kNumVertices = 6; | 
 |   for (int i = 0; i < kNumVertices; ++i) { | 
 |     graph.AddVertex(i); | 
 |   } | 
 |   // Graph structure: | 
 |   // | 
 |   //  0-1-2-3 4-5 | 
 |   graph.AddEdge(0, 1, 1.0); | 
 |   graph.AddEdge(1, 2, 1.0); | 
 |   graph.AddEdge(2, 3, 0.5);  // Weak link | 
 |   graph.AddEdge(0, 3, 1.0); | 
 |  | 
 |   // This component should break up into two. | 
 |   graph.AddEdge(4, 5, 1.0); | 
 |  | 
 |   SingleLinkageClusteringOptions options; | 
 |   std::unordered_map<int, int> membership; | 
 |   ComputeSingleLinkageClustering(options, graph, &membership); | 
 |   EXPECT_EQ(membership.size(), kNumVertices); | 
 |  | 
 |   EXPECT_EQ(membership[1], membership[0]); | 
 |   EXPECT_EQ(membership[2], membership[0]); | 
 |   EXPECT_EQ(membership[3], membership[0]); | 
 |   EXPECT_EQ(membership[4], membership[5]); | 
 | } | 
 |  | 
 | }  // namespace internal | 
 | }  // namespace ceres |