Move java examples
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examples/java/LinearAssignmentAPI.java
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61
examples/java/LinearAssignmentAPI.java
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// Copyright 2010-2017 Google
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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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import com.google.ortools.graph.LinearSumAssignment;
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/**
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* Test assignment on a 4x4 matrix. Example taken from
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* http://www.ee.oulu.fi/~mpa/matreng/eem1_2-1.htm with kCost[0][1]
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* modified so the optimum solution is unique.
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*
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*/
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public class LinearAssignmentAPI {
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static {
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System.loadLibrary("jniortools");
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}
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private static void runAssignmentOn4x4Matrix() {
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final int numSources = 4;
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final int numTargets = 4;
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final int[][] cost = {{ 90, 76, 75, 80 },
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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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final int expectedCost = cost[0][3] + cost[1][2] + cost[2][1] + cost[3][0];
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LinearSumAssignment assignment = new LinearSumAssignment();
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for (int source = 0; source < numSources; ++source) {
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for (int target = 0; target < numTargets; ++target) {
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assignment.addArcWithCost(source, target, cost[source][target]);
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}
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}
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if (assignment.solve() == LinearSumAssignment.Status.OPTIMAL) {
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System.out.println("Total cost = " + assignment.getOptimalCost() + "/" + expectedCost);
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for (int node = 0; node < assignment.getNumNodes(); ++node) {
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System.out.println("Left node " + node
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+ " assigned to right node " + assignment.getRightMate(node)
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+ " with cost " + assignment.getAssignmentCost(node));
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}
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} else {
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System.out.println("No solution found.");
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}
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}
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public static void main(String[] args) throws Exception {
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LinearAssignmentAPI.runAssignmentOn4x4Matrix();
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}
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}
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