dotnet: Fix RoutingModel::add[Matrix|Vector]Dimension()
This commit is contained in:
@@ -24,8 +24,7 @@ namespace Google.OrTools.Tests
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});
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// Define cost of each arc.
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routing.SetArcCostEvaluatorOfAllVehicles(transitCallbackIndex);
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if (callGC)
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{
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if (callGC) {
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GC.Collect();
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}
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// Setting first solution heuristic.
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@@ -36,5 +35,159 @@ namespace Google.OrTools.Tests
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// 0 --(+1)-> 1 --(+1)-> 2 --(+1)-> 3 --(+1)-> 4 --(+4)-> 0 := +8
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Assert.Equal(8, solution.ObjectiveValue());
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}
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[Fact]
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public void TestTransitMatrix()
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{
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// Create Routing Index Manager
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RoutingIndexManager manager = new RoutingIndexManager(5 /*locations*/, 1 /*vehicle*/, 0 /*depot*/);
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// Create Routing Model.
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RoutingModel routing = new RoutingModel(manager);
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// Create a distance callback.
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long[][] matrix = new long[][] {
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new long[] {1, 1, 1, 1, 1},
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new long[] {1, 1, 1, 1, 1},
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new long[] {1, 1, 1, 1, 1},
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new long[] {1, 1, 1, 1, 1},
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new long[] {1, 1, 1, 1, 1},
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};
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int transitCallbackIndex = routing.RegisterTransitMatrix(matrix);
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// Define cost of each arc.
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routing.SetArcCostEvaluatorOfAllVehicles(transitCallbackIndex);
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// Setting first solution heuristic.
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RoutingSearchParameters searchParameters =
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operations_research_constraint_solver.DefaultRoutingSearchParameters();
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searchParameters.FirstSolutionStrategy = FirstSolutionStrategy.Types.Value.PathCheapestArc;
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Assignment solution = routing.SolveWithParameters(searchParameters);
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// 0 --(+1)-> 1 --(+1)-> 2 --(+1)-> 3 --(+1)-> 4 --(+1)-> 0 := +5
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Assert.Equal(5, solution.ObjectiveValue());
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}
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[Fact]
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public void TestTransitCallback()
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{
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// Create Routing Index Manager
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RoutingIndexManager manager = new RoutingIndexManager(5 /*locations*/, 1 /*vehicle*/, 0 /*depot*/);
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// Create Routing Model.
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RoutingModel routing = new RoutingModel(manager);
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// Create a distance callback.
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int transitCallbackIndex = routing.RegisterTransitCallback(
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(long fromIndex, long toIndex) => {
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// Convert from routing variable Index to distance matrix NodeIndex.
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var fromNode = manager.IndexToNode(fromIndex);
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var toNode = manager.IndexToNode(toIndex);
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return Math.Abs(toNode - fromNode);
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});
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// Define cost of each arc.
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routing.SetArcCostEvaluatorOfAllVehicles(transitCallbackIndex);
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// Setting first solution heuristic.
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RoutingSearchParameters searchParameters =
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operations_research_constraint_solver.DefaultRoutingSearchParameters();
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searchParameters.FirstSolutionStrategy = FirstSolutionStrategy.Types.Value.PathCheapestArc;
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Assignment solution = routing.SolveWithParameters(searchParameters);
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Assert.Equal(8, solution.ObjectiveValue());
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}
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[Fact]
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public void TestMatrixDimension()
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{
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// Create Routing Index Manager
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RoutingIndexManager manager = new RoutingIndexManager(5 /*locations*/, 1 /*vehicle*/, 0 /*depot*/);
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// Create Routing Model.
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RoutingModel routing = new RoutingModel(manager);
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// Create a distance callback.
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long[][] matrix = new long[][] {
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new long[] {1, 1, 1, 1, 1},
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new long[] {1, 1, 1, 1, 1},
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new long[] {1, 1, 1, 1, 1},
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new long[] {1, 1, 1, 1, 1},
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new long[] {1, 1, 1, 1, 1},
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};
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IntBoolPair result = routing.AddMatrixDimension(
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matrix,
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/*capacity=*/10,
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/*fix_start_cumul_to_zero=*/true,
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"Dimension");
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// Define cost of each arc.
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routing.SetArcCostEvaluatorOfAllVehicles(result.first);
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// Setting first solution heuristic.
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RoutingSearchParameters searchParameters =
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operations_research_constraint_solver.DefaultRoutingSearchParameters();
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searchParameters.FirstSolutionStrategy = FirstSolutionStrategy.Types.Value.PathCheapestArc;
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Assignment solution = routing.SolveWithParameters(searchParameters);
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// 0 --(+1)-> 1 --(+1)-> 2 --(+1)-> 3 --(+1)-> 4 --(+1)-> 0 := +5
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Assert.Equal(5, solution.ObjectiveValue());
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}
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[Fact]
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public void TestUnaryTransitVector()
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{
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// Create Routing Index Manager
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RoutingIndexManager manager = new RoutingIndexManager(5 /*locations*/, 1 /*vehicle*/, 0 /*depot*/);
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// Create Routing Model.
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RoutingModel routing = new RoutingModel(manager);
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// Create a distance callback.
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long[] vector = {1, 1, 1, 1, 1};
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int transitCallbackIndex = routing.RegisterUnaryTransitVector(vector);
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// Define cost of each arc.
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routing.SetArcCostEvaluatorOfAllVehicles(transitCallbackIndex);
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// Setting first solution heuristic.
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RoutingSearchParameters searchParameters =
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operations_research_constraint_solver.DefaultRoutingSearchParameters();
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searchParameters.FirstSolutionStrategy = FirstSolutionStrategy.Types.Value.PathCheapestArc;
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Assignment solution = routing.SolveWithParameters(searchParameters);
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// 0 --(+1)-> 1 --(+1)-> 2 --(+1)-> 3 --(+1)-> 4 --(+1)-> 0 := +5
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Assert.Equal(5, solution.ObjectiveValue());
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}
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[Fact]
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public void TestUnaryTransitCallback()
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{
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// Create Routing Index Manager
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RoutingIndexManager manager = new RoutingIndexManager(5 /*locations*/, 1 /*vehicle*/, 0 /*depot*/);
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// Create Routing Model.
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RoutingModel routing = new RoutingModel(manager);
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// Create a distance callback.
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int transitCallbackIndex = routing.RegisterUnaryTransitCallback(
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(long fromIndex) => {
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// Convert from routing variable Index to distance matrix NodeIndex.
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var fromNode = manager.IndexToNode(fromIndex);
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return fromNode+1;
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});
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// Define cost of each arc.
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routing.SetArcCostEvaluatorOfAllVehicles(transitCallbackIndex);
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// Setting first solution heuristic.
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RoutingSearchParameters searchParameters =
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operations_research_constraint_solver.DefaultRoutingSearchParameters();
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searchParameters.FirstSolutionStrategy = FirstSolutionStrategy.Types.Value.PathCheapestArc;
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Assignment solution = routing.SolveWithParameters(searchParameters);
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// 0 --(+1)-> 1 --(+2)-> 2 --(+3)-> 3 --(+4)-> 4 --(+5)-> 0 := +15
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Assert.Equal(15, solution.ObjectiveValue());
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}
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[Fact]
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public void TestVectorDimension()
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{
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// Create Routing Index Manager
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RoutingIndexManager manager = new RoutingIndexManager(5 /*locations*/, 1 /*vehicle*/, 0 /*depot*/);
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// Create Routing Model.
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RoutingModel routing = new RoutingModel(manager);
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// Create a distance callback.
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long[] vector = new long[] {1, 1, 1, 1, 1};
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IntBoolPair result = routing.AddVectorDimension(
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vector,
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/*capacity=*/10,
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/*fix_start_cumul_to_zero=*/true,
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"Dimension");
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// Define cost of each arc.
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routing.SetArcCostEvaluatorOfAllVehicles(result.first);
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// Setting first solution heuristic.
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RoutingSearchParameters searchParameters =
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operations_research_constraint_solver.DefaultRoutingSearchParameters();
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searchParameters.FirstSolutionStrategy = FirstSolutionStrategy.Types.Value.PathCheapestArc;
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Assignment solution = routing.SolveWithParameters(searchParameters);
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// 0 --(+1)-> 1 --(+1)-> 2 --(+1)-> 3 --(+1)-> 4 --(+1)-> 0 := +5
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Assert.Equal(5, solution.ObjectiveValue());
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}
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}
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} // namespace Google.OrTools.Tests
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@@ -12,6 +12,9 @@
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// limitations under the License.
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// TODO(user): Refactor this file to adhere to the SWIG style guide.
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%include "std_pair.i"
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%template(IntBoolPair) std::pair<int, bool>;
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%include "ortools/constraint_solver/csharp/constraint_solver.i"
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%include "ortools/constraint_solver/csharp/routing_types.i"
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%include "ortools/constraint_solver/csharp/routing_index_manager.i"
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@@ -81,6 +84,12 @@ namespace operations_research {
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%}
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// Ignored:
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%ignore RoutingModel::AddDimensionDependentDimensionWithVehicleCapacity;
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%ignore RoutingModel::RegisterUnaryTransitVector(
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std::vector<int64> values);
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%ignore RoutingModel::RegisterTransitMatrix(
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std::vector<std::vector<int64> > values);
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%ignore RoutingModel::AddVectorDimension(
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std::vector<int64> values,
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int64 capacity,
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@@ -93,20 +102,29 @@ namespace operations_research {
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const std::string& name);
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%extend RoutingModel {
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int AddVectorDimension(
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int RegisterUnaryTransitVector(
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const std::vector<int64>& values) {
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return $self->RegisterUnaryTransitVector(values);
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}
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int RegisterTransitMatrix(
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const std::vector<std::vector<int64> >& values) {
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return $self->RegisterTransitMatrix(values);
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}
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std::pair<int, bool> AddVectorDimension(
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const std::vector<int64>& values,
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int64 capacity,
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bool fix_start_cumul_to_zero,
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const std::string& name) {
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return $self->AddVectorDimension(values, capacity, fix_start_cumul_to_zero, name).first;
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return $self->AddVectorDimension(values, capacity, fix_start_cumul_to_zero, name);
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}
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int AddMatrixDimension(
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std::pair<int, bool> AddMatrixDimension(
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const std::vector<std::vector<int64> >& values,
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int64 capacity,
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bool fix_start_cumul_to_zero,
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const std::string& name) {
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return $self->AddMatrixDimension(values, capacity, fix_start_cumul_to_zero, name).first;
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return $self->AddMatrixDimension(values, capacity, fix_start_cumul_to_zero, name);
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}
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}
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