| // Ceres Solver - A fast non-linear least squares minimizer | |
| // Copyright 2010, 2011, 2012 Google Inc. All rights reserved. | |
| // http://code.google.com/p/ceres-solver/ | |
| // | |
| // 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 | |
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| // 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 "gtest/gtest.h" | |
| #include "ceres/collections_port.h" | |
| #include "ceres/graph.h" | |
| #include "ceres/internal/port.h" | |
| #include "ceres/internal/scoped_ptr.h" | |
| namespace ceres { | |
| namespace internal { | |
| 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 indepdendent 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); | |
| scoped_ptr<WeightedGraph<int> > forest(Degree2MaximumSpanningForest(graph)); | |
| const HashSet<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); | |
| scoped_ptr<WeightedGraph<int> > forest(Degree2MaximumSpanningForest(graph)); | |
| const HashSet<int>& vertices = forest->vertices(); | |
| EXPECT_EQ(vertices.size(), 5); | |
| { | |
| const HashSet<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 HashSet<int>& neighbors = forest->Neighbors(3); | |
| EXPECT_EQ(neighbors.size(), 1); | |
| EXPECT_TRUE(neighbors.find(0) != neighbors.end()); | |
| } | |
| { | |
| const HashSet<int>& neighbors = forest->Neighbors(4); | |
| EXPECT_EQ(neighbors.size(), 1); | |
| EXPECT_TRUE(neighbors.find(0) != neighbors.end()); | |
| } | |
| { | |
| const HashSet<int>& neighbors = forest->Neighbors(1); | |
| EXPECT_EQ(neighbors.size(), 0); | |
| } | |
| { | |
| const HashSet<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 |