<?xml version="1.0" encoding="UTF-8"?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You 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. --> <tomcat-users xmlns="http://tomcat.apache.org/xml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://tomcat.apache.org/xml tomcat-users.xsd" version="1.0"> <!-- By default, no user is included in the "manager-gui" role required to operate the "/manager/html" web application. If you wish to use this app, you must define such a user - the username and password are arbitrary. Built-in Tomcat manager roles: - manager-gui - allows access to the HTML GUI and the status pages - manager-script - allows access to the HTTP API and the status pages - manager-jmx - allows access to the JMX proxy and the status pages - manager-status - allows access to the status pages only The users below are wrapped in a comment and are therefore ignored. If you wish to configure one or more of these users for use with the manager web application, do not forget to remove the <!.. ..> that surrounds them. You will also need to set the passwords to something appropriate. --> <!-- <user username="admin" password="<must-be-changed>" roles="manager-gui"/> <user username="robot" password="<must-be-changed>" roles="manager-script"/> --> <!-- The sample user and role entries below are intended for use with the examples web application. They are wrapped in a comment and thus are ignored when reading this file. If you wish to configure these users for use with the examples web application, do not forget to remove the <!.. ..> that surrounds them. You will also need to set the passwords to something appropriate. --> <!-- <role rolename="tomcat"/> <role rolename="role1"/> <user username="tomcat" password="<must-be-changed>" roles="tomcat"/> <user username="both" password="<must-be-changed>" roles="tomcat,role1"/> <user username="role1" password="<must-be-changed>" roles="role1"/> --> </tomcat-users> 这个怎么改

时间: 2024-04-22 12:26:39 浏览: 18
你提供的 'tomcat-users.xml' 文件是一个示例文件,其中包含了一些注释和示例用户角色和用户的声明。你需要根据你的需求对其进行修改。 如果你想要使用示例中的某个用户角色和用户,你需要取消相应部分的注释,并设置适当的密码。例如,如果你想要使用示例中的 `admin` 用户作为 `manager-gui` 角色的用户,你可以将以下行的注释取消,并将 `<must-be-changed>` 替换为你自己的密码: ```xml <!-- <user username="admin" password="<must-be-changed>" roles="manager-gui"/> --> ``` 同时,如果你想要使用其他示例用户角色和用户,你可以按照相同的方式取消注释并设置密码。 如果你想要定义自己的用户角色和用户,你可以按照以下格式添加新的 `<role>` 和 `<user>` 元素: ```xml <role rolename="your-role-name"/> <user username="your-username" password="your-password" roles="your-role-name"/> ``` 确保将 `<your-role-name>`, `<your-username>`, 和 `<your-password>` 替换为你自己定义的角色名、用户名和密码。 最后,保存并关闭 'tomcat-users.xml' 文件,并重新启动 Tomcat 服务器。这样你就可以使用修改后的用户角色和用户来进行部署和操作了。
相关问题

<?xml version="1.0" encoding="utf-8"?> <!-- Licensed to the .NET Foundation under one or more agreements. The .NET Foundation licenses this file to you under the MIT license. See the License.txt file in the project root for more information. --> <Project> <ItemGroup> <SourceLinkGitHubHost Include="github.com" ContentUrl="https://raw.githubusercontent.com"/> </ItemGroup> </Project>

这是一个基于XML的MSBuild项目文件,它包含一个名为“SourceLinkGitHubHost”的ItemGroup元素,该元素定义了一个名为“github.com”的ContentUrl属性,用于在SourceLink中提供源代码的信息。这个项目文件似乎是用于在Visual Studio中构建和调试.NET应用程序时使用的。

<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- 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. See accompanying LICENSE file. --> <!-- Put site-specific property overrides in this file. --> <configuration> <property> <name>fs.defaultFS</name> <value>hdfs://localhost:9000</value> </property> <property> <name>hadoop.tmp.dir</name> <value>D:\Development\Hadoop\data\tmp</value> </property> </configuration> 检查一下规范性

这个XML文档中的XML声明是符合规范的,指定了XML版本为1.0,编码方式为UTF-8。其次,这个XML文档中包含了一个XML样式表声明,指定了用于显示该XML文档的样式表文件的路径。在注释中,这个XML文档还声明了使用Apache许可证2.0版本,以及提供了许可证的获取地址。在XML元素中,使用了<configuration>元素作为根元素,并包含了两个<property>元素,用来定义Hadoop的配置属性。整个XML文档结构合乎XML规范,没有语法错误。

相关推荐

ModuleNotFoundError Traceback (most recent call last) Input In [2], in <cell line: 2>() 1 #数据加载 ----> 2 from keras.datasets import fashion_mnist 3 import numpy as np 4 (X_train,y_train),(X_test,y_test) = fashion_mnist.load_data() File F:\Anaconda\lib\site-packages\keras\__init__.py:20, in <module> 1 # Copyright 2015 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 13 # limitations under the License. 14 # ============================================================================== 15 """Implementation of the Keras API, the high-level API of TensorFlow. 16 17 Detailed documentation and user guides are available at 18 [keras.io](https://keras.io). 19 """ ---> 20 from keras import distribute 21 from keras import models 22 from keras.engine.input_layer import Input File F:\Anaconda\lib\site-packages\keras\distribute\__init__.py:18, in <module> 1 # Copyright 2019 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 13 # limitations under the License. 14 # ============================================================================== 15 """Keras' Distribution Strategy library.""" ---> 18 from keras.distribute import sidecar_evaluator File F:\Anaconda\lib\site-packages\keras\distribute\sidecar_evaluator.py:17, in <module> 1 # Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 13 # limitations under the License. 14 # ============================================================================== 15 """Python module for evaluation loop.""" ---> 17 import tensorflow.compat.v2 as tf 19 # isort: off 20 from tensorflow.python.platform import tf_logging as logging ModuleNotFoundError: No module named 'tensorflow'

这段代码改成可调用函数 : /*! * ASP.NET SignalR JavaScript Library 2.4.3 * http://signalr.net/ * * Copyright (c) .NET Foundation. All rights reserved. * Licensed under the Apache License, Version 2.0. See License.txt in the project root for license information. * */ /// <reference path="....\SignalR.Client.JS\Scripts\jquery-1.6.4.js" /> /// <reference path="jquery.signalR.js" /> (function ($, window, undefined) { /// "use strict"; if (typeof ($.signalR) !== "function") { throw new Error("SignalR: SignalR is not loaded. Please ensure jquery.signalR-x.js is referenced before ~/signalr/js."); } var signalR = $.signalR; function makeProxyCallback(hub, callback) { return function () { // Call the client hub method callback.apply(hub, $.makeArray(arguments)); }; } function registerHubProxies(instance, shouldSubscribe) { var key, hub, memberKey, memberValue, subscriptionMethod; for (key in instance) { if (instance.hasOwnProperty(key)) { hub = instance[key]; if (!(hub.hubName)) { // Not a client hub continue; } if (shouldSubscribe) { // We want to subscribe to the hub events subscriptionMethod = hub.on; } else { // We want to unsubscribe from the hub events subscriptionMethod = hub.off; } // Loop through all members on the hub and find client hub functions to subscribe/unsubscribe for (memberKey in hub.client) { if (hub.client.hasOwnProperty(memberKey)) { memberValue = hub.client[memberKey]; if (!$.isFunction(memberValue)) { // Not a client hub function continue; } // Use the actual user-provided callback as the "identity" value for the registration. subscriptionMethod.call(hub, memberKey, makeProxyCallback(hub, memberValue), memberValue); } } } } } $.hubConnection.prototype.createHubProxies = function () { var proxies = {}; this.starting(function () { // Register the hub proxies as subscribed // (instance, shouldSubscribe) registerHubProxies(proxies, true); this._registerSubscribedHubs(); }).disconnected(function () { // Unsubscribe all hub proxies when we "disconnect". This is to ensure that we do not re-add functional call backs. // (instance, shouldSubscribe) registerHubProxies(proxies, false); }); proxies['realDataHub'] = this.createHubProxy('realDataHub'); proxies['realDataHub'].client = { }; proxies['realDataHub'].server = { send: function (name, message) { return proxies['realDataHub'].invoke.apply(proxies['realDataHub'], $.merge(["Send"], $.makeArray(arguments))); } }; return proxies; }; signalR.hub = $.hubConnection("/signalr", { useDefaultPath: false }); $.extend(signalR, signalR.hub.createHubProxies()); }(window.jQuery, window));

最新推荐

recommend-type

PID库(Arduino PID Library)使用说明

Arduino PID Library - Version 1.2.1 by Brett Beauregard &lt;br3ttb@gmail.com&gt; brettbeauregard.com This Library is licensed under the MIT License
recommend-type

grpcio-1.47.0-cp310-cp310-linux_armv7l.whl

Python库是一组预先编写的代码模块,旨在帮助开发者实现特定的编程任务,无需从零开始编写代码。这些库可以包括各种功能,如数学运算、文件操作、数据分析和网络编程等。Python社区提供了大量的第三方库,如NumPy、Pandas和Requests,极大地丰富了Python的应用领域,从数据科学到Web开发。Python库的丰富性是Python成为最受欢迎的编程语言之一的关键原因之一。这些库不仅为初学者提供了快速入门的途径,而且为经验丰富的开发者提供了强大的工具,以高效率、高质量地完成复杂任务。例如,Matplotlib和Seaborn库在数据可视化领域内非常受欢迎,它们提供了广泛的工具和技术,可以创建高度定制化的图表和图形,帮助数据科学家和分析师在数据探索和结果展示中更有效地传达信息。
recommend-type

小程序项目源码-美容预约小程序.zip

小程序项目源码-美容预约小程序小程序项目源码-美容预约小程序小程序项目源码-美容预约小程序小程序项目源码-美容预约小程序小程序项目源码-美容预约小程序小程序项目源码-美容预约小程序小程序项目源码-美容预约小程序小程序项目源码-美容预约小程序v
recommend-type

zigbee-cluster-library-specification

最新的zigbee-cluster-library-specification说明文档。
recommend-type

管理建模和仿真的文件

管理Boualem Benatallah引用此版本:布阿利姆·贝纳塔拉。管理建模和仿真。约瑟夫-傅立叶大学-格勒诺布尔第一大学,1996年。法语。NNT:电话:00345357HAL ID:电话:00345357https://theses.hal.science/tel-003453572008年12月9日提交HAL是一个多学科的开放存取档案馆,用于存放和传播科学研究论文,无论它们是否被公开。论文可以来自法国或国外的教学和研究机构,也可以来自公共或私人研究中心。L’archive ouverte pluridisciplinaire
recommend-type

【实战演练】MATLAB用遗传算法改进粒子群GA-PSO算法

![MATLAB智能算法合集](https://static.fuxi.netease.com/fuxi-official/web/20221101/83f465753fd49c41536a5640367d4340.jpg) # 2.1 遗传算法的原理和实现 遗传算法(GA)是一种受生物进化过程启发的优化算法。它通过模拟自然选择和遗传机制来搜索最优解。 **2.1.1 遗传算法的编码和解码** 编码是将问题空间中的解表示为二进制字符串或其他数据结构的过程。解码是将编码的解转换为问题空间中的实际解的过程。常见的编码方法包括二进制编码、实数编码和树形编码。 **2.1.2 遗传算法的交叉和
recommend-type

openstack的20种接口有哪些

以下是OpenStack的20种API接口: 1. Identity (Keystone) API 2. Compute (Nova) API 3. Networking (Neutron) API 4. Block Storage (Cinder) API 5. Object Storage (Swift) API 6. Image (Glance) API 7. Telemetry (Ceilometer) API 8. Orchestration (Heat) API 9. Database (Trove) API 10. Bare Metal (Ironic) API 11. DNS
recommend-type

JSBSim Reference Manual

JSBSim参考手册,其中包含JSBSim简介,JSBSim配置文件xml的编写语法,编程手册以及一些应用实例等。其中有部分内容还没有写完,估计有生之年很难看到完整版了,但是内容还是很有参考价值的。
recommend-type

"互动学习:行动中的多样性与论文攻读经历"

多样性她- 事实上SCI NCES你的时间表ECOLEDO C Tora SC和NCESPOUR l’Ingén学习互动,互动学习以行动为中心的强化学习学会互动,互动学习,以行动为中心的强化学习计算机科学博士论文于2021年9月28日在Villeneuve d'Asq公开支持马修·瑟林评审团主席法布里斯·勒菲弗尔阿维尼翁大学教授论文指导奥利维尔·皮耶昆谷歌研究教授:智囊团论文联合主任菲利普·普雷教授,大学。里尔/CRISTAL/因里亚报告员奥利维耶·西格德索邦大学报告员卢多维奇·德诺耶教授,Facebook /索邦大学审查员越南圣迈IMT Atlantic高级讲师邀请弗洛里安·斯特鲁布博士,Deepmind对于那些及时看到自己错误的人...3谢谢你首先,我要感谢我的两位博士生导师Olivier和Philippe。奥利维尔,"站在巨人的肩膀上"这句话对你来说完全有意义了。从科学上讲,你知道在这篇论文的(许多)错误中,你是我可以依
recommend-type

【实战演练】时间序列预测用于个体家庭功率预测_ARIMA, xgboost, RNN

![【实战演练】时间序列预测用于个体家庭功率预测_ARIMA, xgboost, RNN](https://img-blog.csdnimg.cn/img_convert/5587b4ec6abfc40c76db14fbef6280db.jpeg) # 1. 时间序列预测简介** 时间序列预测是一种预测未来值的技术,其基于历史数据中的时间依赖关系。它广泛应用于各种领域,例如经济、金融、能源和医疗保健。时间序列预测模型旨在捕捉数据中的模式和趋势,并使用这些信息来预测未来的值。 # 2. 时间序列预测方法 时间序列预测方法是利用历史数据来预测未来趋势或值的统计技术。在时间序列预测中,有许多不