|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2023 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: Sameer Agarwal (sameeragarwal@google.com) | 
|  |  | 
|  | #include "ceres/single_linkage_clustering.h" | 
|  |  | 
|  | #include <unordered_map> | 
|  |  | 
|  | #include "ceres/graph.h" | 
|  | #include "gtest/gtest.h" | 
|  |  | 
|  | namespace ceres::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 ceres::internal |