Add AssignmentLinearAssignment in all supported languages
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80
ortools/graph/samples/AssignmentLinearAssignment.cs
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80
ortools/graph/samples/AssignmentLinearAssignment.cs
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// Copyright 2010-2021 Google LLC
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// [START program]
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// [START import]
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using Google.OrTools.Graph;
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// [END import]
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public class AssignmentLinearAssignment
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{
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static void Main()
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{
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// [START solver]
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LinearSumAssignment assignment = new LinearSumAssignment();
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// [END solver]
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// [START data]
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int[,] costs = {
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{90, 76, 75, 70},
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{35, 85, 55, 65},
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{125, 95, 90, 105},
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{45, 110, 95, 115},
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};
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int numWorkers = 4;
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int[] allWorkers = Enumerable.Range(0, numWorkers).ToArray();
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int numTasks = 4;
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int[] allTasks = Enumerable.Range(0, numTasks).ToArray();
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// [END data]
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// [START constraints]
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// Add each arc.
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foreach (int w in allWorkers)
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{
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foreach (int t in allTasks)
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{
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if (costs[w,t] != 0)
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{
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assignment.AddArcWithCost(w, t, costs[w, t]);
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}
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}
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}
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// [END constraints]
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// [START solve]
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LinearSumAssignment.Status status = assignment.Solve();
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// [END solve]
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// [START print_solution]
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if (status == LinearSumAssignment.Status.OPTIMAL)
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{
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Console.WriteLine($"Total cost: {assignment.OptimalCost()}.");
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foreach (int worker in allWorkers)
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{
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Console.WriteLine(
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$"Worker {worker} assigned to task {assignment.RightMate(worker)}. " +
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$"Cost: {assignment.AssignmentCost(worker)}.");
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}
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}
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else
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{
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Console.WriteLine("Solving the linear assignment problem failed.");
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Console.WriteLine($"Solver status: {status}.");
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}
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// [END print_solution]
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}
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}
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// [END program]
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76
ortools/graph/samples/AssignmentLinearAssignment.java
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76
ortools/graph/samples/AssignmentLinearAssignment.java
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// Copyright 2010-2021 Google LLC
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// [START program]
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package com.google.ortools.graph.samples;
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// [START import]
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import com.google.ortools.Loader;
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import com.google.ortools.graph.LinearSumAssignment;
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import java.util.stream.IntStream;
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// [END import]
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/** Minimal Linear Sum Assignment. */
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public class AssignmentLinearAssignment {
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public static void main(String[] args) throws Exception {
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Loader.loadNativeLibraries();
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// [START solver]
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LinearSumAssignment assignment = new LinearSumAssignment();
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// [END solver]
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// [START data]
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final int[][] costs = {
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{90, 76, 75, 70},
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{35, 85, 55, 65},
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{125, 95, 90, 105},
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{45, 110, 95, 115},
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};
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final int numWorkers = 4;
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final int numTasks = 4;
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final int[] allWorkers = IntStream.range(0, numWorkers).toArray();
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final int[] allTasks = IntStream.range(0, numTasks).toArray();
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// [END data]
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// [START constraints]
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// Add each arc.
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for (int w : allWorkers) {
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for (int t : allTasks) {
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if (costs[w][t] != 0) {
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assignment.addArcWithCost(w, t, costs[w][t]);
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}
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}
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}
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// [END constraints]
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// [START solve]
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LinearSumAssignment.Status status = assignment.solve();
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// [END solve]
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// [START print_solution]
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if (status == LinearSumAssignment.Status.OPTIMAL) {
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System.out.println("Total cost: " + assignment.getOptimalCost());
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for (int worker : allWorkers) {
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System.out.println("Worker " + worker +
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" assigned to task " + assignment.getRightMate(worker) +
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". Cost: " + assignment.getAssignmentCost(worker));
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}
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} else {
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System.out.println("Solving the min cost flow problem failed.");
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System.out.println("Solver status: " + status);
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}
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// [END print_solution]
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}
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private AssignmentLinearAssignment() {}
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}
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// [END program]
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83
ortools/graph/samples/assignment_linear_assignment.cc
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83
ortools/graph/samples/assignment_linear_assignment.cc
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// Copyright 2010-2021 Google LLC
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// [START program]
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// [START import]
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#include <cstdint>
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#include <string>
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#include <vector>
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#include <numeric>
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#include "ortools/graph/assignment.h"
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// [END import]
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namespace operations_research {
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// MinCostFlow simple interface example.
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void AssignmentLinearAssignment() {
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// [START solver]
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SimpleLinearSumAssignment assignment;
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// [END solver]
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// [START data]
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const int num_workers = 4;
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std::vector<int> all_workers(num_workers);
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std::iota(all_workers.begin(), all_workers.end(), 0);
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const int num_tasks = 4;
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std::vector<int> all_tasks(num_tasks);
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std::iota(all_tasks.begin(), all_tasks.end(), 0);
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const std::vector<std::vector<int>> costs = {{
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{{90, 76, 75, 70}}, // Worker 0
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{{35, 85, 55, 65}}, // Worker 1
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{{125, 95, 90, 105}}, // Worker 2
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{{45, 110, 95, 115}}, // Worker 3
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}};
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// [END data]
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// [START constraints]
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for (int w: all_workers) {
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for (int t: all_tasks) {
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if (costs[w][t]) {
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assignment.AddArcWithCost(w, t, costs[w][t]);
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}
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}
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}
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// [END constraints]
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// [START solve]
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SimpleLinearSumAssignment::Status status = assignment.Solve();
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// [END solve]
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// [START print_solution]
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if (status == SimpleLinearSumAssignment::OPTIMAL) {
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LOG(INFO) << "Total cost: " << assignment.OptimalCost();
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for (int worker: all_workers) {
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LOG(INFO)
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<< "Worker " << std::to_string(worker)
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<< " assigned to task " << std::to_string(assignment.RightMate(worker))
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<< ". Cost: " << std::to_string(assignment.AssignmentCost(worker)) << ".";
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}
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} else {
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LOG(INFO) << "Solving the linear assignment problem failed.";
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}
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// [END print_solution]
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}
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} // namespace operations_research
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int main() {
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operations_research::AssignmentLinearAssignment();
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return EXIT_SUCCESS;
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}
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// [END program]
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0
ortools/graph/samples/assignment_linear_assignment.py
Normal file → Executable file
0
ortools/graph/samples/assignment_linear_assignment.py
Normal file → Executable file
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