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// Copyright 2010-2018 Google LLC
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// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package com.google.ortools.examples;
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import com.google.ortools.graph.MaxFlow;
import com.google.ortools.graph.MinCostFlow;
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/**
* Sample showing how to model using the flow solver.
*
*/
dotnet: Remove reference to dotnet release command - Currently not implemented... Add abseil patch - Add patches/absl-config.cmake Makefile: Add abseil-cpp on unix - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake Makefile: Add abseil-cpp on windows - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake CMake: Add abseil-cpp - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake port to absl: C++ Part - Fix warning with the use of ABSL_MUST_USE_RESULT > The macro must appear as the very first part of a function declaration or definition: ... Note: past advice was to place the macro after the argument list. src: dependencies/sources/abseil-cpp-master/absl/base/attributes.h:418 - Rename enum after windows clash - Remove non compact table constraints - Change index type from int64 to int in routing library - Fix file_nonport compilation on windows - Fix another naming conflict with windows (NO_ERROR is a macro) - Cleanup hash containers; work on sat internals - Add optional_boolean sub-proto Sync cpp examples with internal code - reenable issue173 after reducing number of loops port to absl: Python Part - Add back cp_model.INT32_MIN|MAX for examples Update Python examples - Add random_tsp.py - Run words_square example - Run magic_square in python tests port to absl: Java Part - Fix compilation of the new routing parameters in java - Protect some code from SWIG parsing Update Java Examples port to absl: .Net Part Update .Net examples work on sat internals; Add C++ CP-SAT CpModelBuilder API; update sample code and recipes to use the new API; sync with internal code Remove VS 2015 in Appveyor-CI - abseil-cpp does not support VS 2015... improve tables upgrade C++ sat examples to use the new API; work on sat internals update license dates rewrite jobshop_ft06_distance.py to use the CP-SAT solver rename last example revert last commit more work on SAT internals fix
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public class FlowExample {
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static {
System.loadLibrary("jniortools");
}
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private static void solveMinCostFlow() {
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System.out.println("Min Cost Flow Problem - Simple interface");
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final int numSources = 4;
final int numTargets = 4;
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final int[][] costs = {
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{90, 75, 75, 80}, {35, 85, 55, 65}, {125, 95, 90, 105}, {45, 110, 95, 115}};
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final int expectedCost = 275;
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MinCostFlow minCostFlow = new MinCostFlow();
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for (int source = 0; source < numSources; ++source) {
for (int target = 0; target < numTargets; ++target) {
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minCostFlow.addArcWithCapacityAndUnitCost(
source, numSources + target, 1, costs[source][target]);
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}
}
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for (int node = 0; node < numSources; ++node) {
minCostFlow.setNodeSupply(node, 1);
minCostFlow.setNodeSupply(numSources + node, -1);
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}
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if (minCostFlow.solve() == MinCostFlow.Status.OPTIMAL) {
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final long totalFlowCost = minCostFlow.getOptimalCost();
System.out.println("total flow = " + totalFlowCost + "/" + expectedCost);
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for (int i = 0; i < minCostFlow.getNumArcs(); ++i) {
if (minCostFlow.getFlow(i) > 0) {
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System.out.println("From source " + minCostFlow.getTail(i) + " to target "
+ minCostFlow.getHead(i) + ": cost " + minCostFlow.getUnitCost(i));
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}
}
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} else {
System.out.println("No solution found");
}
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}
private static void solveMaxFlow() {
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System.out.println("Max Flow Problem - Simple interface");
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final int[] tails = {0, 0, 0, 0, 1, 2, 3, 3, 4};
final int[] heads = {1, 2, 3, 4, 3, 4, 4, 5, 5};
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final int[] capacities = {5, 8, 5, 3, 4, 5, 6, 6, 4};
final int expectedTotalFlow = 10;
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MaxFlow maxFlow = new MaxFlow();
for (int i = 0; i < tails.length; ++i) {
maxFlow.addArcWithCapacity(tails[i], heads[i], capacities[i]);
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}
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if (maxFlow.solve(0, 5) == MaxFlow.Status.OPTIMAL) {
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System.out.println("Total flow " + maxFlow.getOptimalFlow() + "/" + expectedTotalFlow);
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for (int i = 0; i < maxFlow.getNumArcs(); ++i) {
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System.out.println("From source " + maxFlow.getTail(i) + " to target " + maxFlow.getHead(i)
+ ": " + maxFlow.getFlow(i) + " / " + maxFlow.getCapacity(i));
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}
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// TODO(user): Our SWIG configuration does not currently handle these
// functions correctly in Java:
// maxFlow.getSourceSideMinCut(...);
// maxFlow.getSinkSideMinCut(...);
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} else {
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System.out.println("There was an issue with the input.");
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}
}
public static void main(String[] args) throws Exception {
FlowExample.solveMinCostFlow();
FlowExample.solveMaxFlow();
}
}