如何在 macOS 上为 IntelliJ 项目安装 Google OR-Tools
Posted
技术标签:
【中文标题】如何在 macOS 上为 IntelliJ 项目安装 Google OR-Tools【英文标题】:How to install Google OR-Tools for an IntelliJ project on macOS 【发布时间】:2019-05-25 08:28:27 【问题描述】:我正在尝试为 Google OR-Tools 运行 VRP Java 示例,但不断收到 UnsatisfiedLinkError: no jniortools in java.library.path
错误。
我所做的是:
-
下载binary distribution for Java/macOS
新建一个基于 Gradle 的 IntelliJ 项目
在项目的根目录中创建一个名为
lib
的新文件夹
复制并粘贴名为的 Goole OR-Tools 文件
com.google.ortools.jar
和 protobuf.jar
(在 lib
在步骤 1) 中下载的二进制分发的文件夹到lib
在第 3 步中创建的文件夹。
转到项目结构 > 模块 > 主 > 依赖项 > + > JAR 或目录 > 从 project_root/lib
中选择 com.google.ortools.jar
和 protobuf.jar
运行 google or-tools 网站上的 java example
这是java示例的完整代码:
// Copyright 2010-2018 Google LLC
// 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.
// [START program]
// [START import]
import com.google.ortools.constraintsolver.Assignment;
import com.google.ortools.constraintsolver.FirstSolutionStrategy;
import com.google.ortools.constraintsolver.RoutingDimension;
import com.google.ortools.constraintsolver.RoutingIndexManager;
import com.google.ortools.constraintsolver.RoutingModel;
import com.google.ortools.constraintsolver.RoutingSearchParameters;
import com.google.ortools.constraintsolver.main;
import java.util.logging.Logger;
// [END import]
/** Minimal VRP.*/
public class VrpGlobalSpan
static
System.loadLibrary("jniortools");
private static final Logger logger = Logger.getLogger(VrpGlobalSpan.class.getName());
// [START data_model]
static class DataModel
public final long[][] distanceMatrix =
0, 548, 776, 696, 582, 274, 502, 194, 308, 194, 536, 502, 388, 354, 468, 776, 662,
548, 0, 684, 308, 194, 502, 730, 354, 696, 742, 1084, 594, 480, 674, 1016, 868, 1210,
776, 684, 0, 992, 878, 502, 274, 810, 468, 742, 400, 1278, 1164, 1130, 788, 1552, 754,
696, 308, 992, 0, 114, 650, 878, 502, 844, 890, 1232, 514, 628, 822, 1164, 560, 1358,
582, 194, 878, 114, 0, 536, 764, 388, 730, 776, 1118, 400, 514, 708, 1050, 674, 1244,
274, 502, 502, 650, 536, 0, 228, 308, 194, 240, 582, 776, 662, 628, 514, 1050, 708,
502, 730, 274, 878, 764, 228, 0, 536, 194, 468, 354, 1004, 890, 856, 514, 1278, 480,
194, 354, 810, 502, 388, 308, 536, 0, 342, 388, 730, 468, 354, 320, 662, 742, 856,
308, 696, 468, 844, 730, 194, 194, 342, 0, 274, 388, 810, 696, 662, 320, 1084, 514,
194, 742, 742, 890, 776, 240, 468, 388, 274, 0, 342, 536, 422, 388, 274, 810, 468,
536, 1084, 400, 1232, 1118, 582, 354, 730, 388, 342, 0, 878, 764, 730, 388, 1152, 354,
502, 594, 1278, 514, 400, 776, 1004, 468, 810, 536, 878, 0, 114, 308, 650, 274, 844,
388, 480, 1164, 628, 514, 662, 890, 354, 696, 422, 764, 114, 0, 194, 536, 388, 730,
354, 674, 1130, 822, 708, 628, 856, 320, 662, 388, 730, 308, 194, 0, 342, 422, 536,
468, 1016, 788, 1164, 1050, 514, 514, 662, 320, 274, 388, 650, 536, 342, 0, 764, 194,
776, 868, 1552, 560, 674, 1050, 1278, 742, 1084, 810, 1152, 274, 388, 422, 764, 0, 798,
662, 1210, 754, 1358, 1244, 708, 480, 856, 514, 468, 354, 844, 730, 536, 194, 798, 0,
;
public final int vehicleNumber = 4;
public final int depot = 0;
// [END data_model]
// [START solution_printer]
/// @brief Print the solution.
static void printSolution(
DataModel data, RoutingModel routing, RoutingIndexManager manager, Assignment solution)
// Inspect solution.
long maxRouteDistance = 0;
for (int i = 0; i < data.vehicleNumber; ++i)
long index = routing.start(i);
logger.info("Route for Vehicle " + i + ":");
long routeDistance = 0;
String route = "";
while (!routing.isEnd(index))
route += manager.indexToNode(index) + " -> ";
long previousIndex = index;
index = solution.value(routing.nextVar(index));
routeDistance += routing.getArcCostForVehicle(previousIndex, index, i);
logger.info(route + manager.indexToNode(index));
logger.info("Distance of the route: " + routeDistance + "m");
maxRouteDistance = Math.max(routeDistance, maxRouteDistance);
logger.info("Maximum of the route distances: " + maxRouteDistance + "m");
// [END solution_printer]
public static void main(String[] args) throws Exception
// Instantiate the data problem.
// [START data]
final DataModel data = new DataModel();
// [END data]
// Create Routing Index Manager
// [START index_manager]
RoutingIndexManager manager =
new RoutingIndexManager(data.distanceMatrix.length, data.vehicleNumber, data.depot);
// [END index_manager]
// Create Routing Model.
// [START routing_model]
RoutingModel routing = new RoutingModel(manager);
// [END routing_model]
// Create and register a transit callback.
// [START transit_callback]
final int transitCallbackIndex =
routing.registerTransitCallback((long fromIndex, long toIndex) ->
// Convert from routing variable Index to user NodeIndex.
int fromNode = manager.indexToNode(fromIndex);
int toNode = manager.indexToNode(toIndex);
return data.distanceMatrix[fromNode][toNode];
);
// [END transit_callback]
// Define cost of each arc.
// [START arc_cost]
routing.setArcCostEvaluatorOfAllVehicles(transitCallbackIndex);
// [END arc_cost]
// Add Distance constraint.
// [START distance_constraint]
routing.addDimension(transitCallbackIndex, 0, 3000,
true, // start cumul to zero
"Distance");
RoutingDimension distanceDimension = routing.getMutableDimension("Distance");
distanceDimension.setGlobalSpanCostCoefficient(100);
// [END distance_constraint]
// Setting first solution heuristic.
// [START parameters]
RoutingSearchParameters searchParameters =
main.defaultRoutingSearchParameters()
.toBuilder()
.setFirstSolutionStrategy(FirstSolutionStrategy.Value.PATH_CHEAPEST_ARC)
.build();
// [END parameters]
// Solve the problem.
// [START solve]
Assignment solution = routing.solveWithParameters(searchParameters);
// [END solve]
// Print solution on console.
// [START print_solution]
printSolution(data, routing, manager, solution);
// [END print_solution]
// [END program]
com.google.ortools.*
导入很好,但在运行 java 示例时出现以下错误:
Exception in thread "main" java.lang.UnsatisfiedLinkError: no jniortools in java.library.path
at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867)
at java.lang.Runtime.loadLibrary0(Runtime.java:870)
at java.lang.System.loadLibrary(System.java:1122)
at VrpGlobalSpan.<clinit>(VrpGlobalSpan.java:29)
我搜索了jniortools
文件,但在任何地方都找不到。我该怎么做才能确保示例运行?
【问题讨论】:
找到解决办法了吗?你能在这里更新一下吗?我也遇到同样的问题等待解决方案。 【参考方案1】:所有的库,包括libjniortools.dylib都在lib目录下, 你需要在intellij中添加安装lib目录的路径。
见How to set the java.library.path in intelliJ Idea
【讨论】:
【参考方案2】:手动指出jar
依赖项的位置,如here 所述。
你应该得到这样的结果。
在Maven 上也有一些独立的发布,我相信官方是on its way
【讨论】:
以上是关于如何在 macOS 上为 IntelliJ 项目安装 Google OR-Tools的主要内容,如果未能解决你的问题,请参考以下文章
MobileFirst 6.3 本机 API 项目在 MacOS 上为空 /include 文件夹
如何在 macOS 上为 Qt 窗口使用 Objective-C 变量和方法?
如何在 MacOS 12 上为 php 7.1 安装 mcrypt 扩展以进行 Laravel 开发?