<?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="tomcat" roles="tomcat"/> <user username="both" password="tomcat" roles="tomcat,role1"/> <user username="role1" password="tomcat" roles="role1"/> </tomcat-users> 出现cvc-elt.1.a: Cannot find the declaration of element 'tomcat-users'.如何修改

时间: 2024-04-22 12:26:37 浏览: 26
从你提供的`server.xml`文件来看,`tomcat-users`元素是在`http://tomcat.apache.org/xml`命名空间下定义的,因此需要使用相应的命名空间前缀来引用该元素。 根据你的配置文件内容,将以下行: ```xml <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"> ``` 修改为: ```xml <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" xmlns:ns2="http://tomcat.apache.org/xml"> ``` 然后,在以下行中添加命名空间前缀 `ns2`: ```xml <role rolename="tomcat"/> <role rolename="role1"/> <user username="tomcat" password="tomcat" roles="tomcat"/> <user username="both" password="tomcat" roles="tomcat,role1"/> <user username="role1" password="tomcat" roles="role1"/> ``` 修改为: ```xml <ns2:role rolename="tomcat"/> <ns2:role rolename="role1"/> <ns2:user username="tomcat" password="tomcat" roles="tomcat"/> <ns2:user username="both" password="tomcat" roles="tomcat,role1"/> <ns2:user username="role1" password="tomcat" roles="role1"/> ``` 这样修改后,`tomcat-users`元素及其子元素应该能被正确识别了。记得保存修改后的文件并重新启动Tomcat服务器。如果还有其他问题,请提供更多错误信息以便我能够帮助你进一步调试。

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));

ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 10 8 from tensorflow.keras.preprocessing.image import load_img 9 from importlib import reload ---> 10 import segmenteverygrain as seg 11 from segment_anything import sam_model_registry, SamAutomaticMaskGenerator, SamPredictor 12 from tqdm import trange File ~\segmenteverygrain-main\segmenteverygrain\segmenteverygrain.py:42 39 from tensorflow.keras.optimizers import Adam 40 from tensorflow.keras.preprocessing.image import load_img ---> 42 from segment_anything import sam_model_registry, SamAutomaticMaskGenerator, SamPredictor 44 def predict_image_tile(im_tile,model): 45 if len(np.shape(im_tile)) == 2: File D:\Anaconda\lib\site-packages\segment_anything\__init__.py:14 1 # Copyright (c) Meta Platforms, Inc. and affiliates. 2 # All rights reserved. 3 4 # This source code is licensed under the license found in the 5 # LICENSE file in the root directory of this source tree. 7 from .build_sam import ( 8 build_sam, 9 build_sam_vit_h, (...) 12 sam_model_registry, 13 ) ---> 14 from .predictor import SamPredictor 15 from .automatic_mask_generator import SamAutomaticMaskGenerator File D:\Anaconda\lib\site-packages\segment_anything\predictor.py:14 10 from segment_anything.modeling import Sam 12 from typing import Optional, Tuple ---> 14 from .utils.transforms import ResizeLongestSide 17 class SamPredictor: 18 def __init__( 19 self, 20 sam_model: Sam, 21 ) -> None: File D:\Anaconda\lib\site-packages\segment_anything\utils\transforms.py:10 8 import torch 9 from torch.nn import functional as F ---> 10 from torchvision.transforms.functional import resize, to_pil_image # type: ignore 12 from copy import deepcopy 13 from typing import Tuple ModuleNotFoundError: No module named 'torchvision'

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

android手机应用源码Imsdroid语音视频通话源码.rar

android手机应用源码Imsdroid语音视频通话源码.rar
recommend-type

营销计划汇报PPT,市场品牌 推广渠道 产品 营销策略tbb.pptx

营销计划汇报PPT,市场品牌 推广渠道 产品 营销策略tbb.pptx
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】增量式PID的simulink仿真实现

# 2.1 Simulink仿真环境简介 Simulink是MATLAB中用于建模、仿真和分析动态系统的图形化环境。它提供了一个直观的用户界面,允许用户使用块和连接线来创建系统模型。Simulink模型由以下元素组成: - **子系统:**将复杂系统分解成更小的、可管理的模块。 - **块:**代表系统中的组件,如传感器、执行器和控制器。 - **连接线:**表示信号在块之间的流动。 Simulink仿真环境提供了广泛的块库,涵盖了各种工程学科,包括控制系统、电子和机械工程。它还支持用户自定义块的创建,以满足特定仿真需求。 # 2. Simulink仿真环境的搭建和建模 ### 2.
recommend-type

训练集和测试集的准确率都99%,但是预测效果不好

即使训练集和测试集的准确率都很高,但是在实际的预测中表现不佳,可能会有以下几个原因: 1. 数据质量问题:模型训练和测试的数据可能存在问题,比如数据标签错误、数据集采样不均衡、数据集中存在异常值等问题,这些问题可能会导致模型在实际预测中表现不佳。 2. 特征工程问题:模型的特征工程可能存在问题,导致模型无法很好地捕捉数据的特征,从而影响预测效果。 3. 模型选择问题:模型的选择可能不合适,比如选择的模型太简单,无法很好地拟合数据,或者选择的模型太复杂,导致过拟合等问题。 4. 超参数调整问题:模型的超参数可能没有调整到最佳状态,需要进行调整。 针对以上可能的原因,可以采取相应的措施进
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】MATLAB simulink船舶动力定位模拟器

# 1. MATLAB Simulink 简介** MATLAB Simulink 是 MathWorks 公司开发的一款图形化建模和仿真软件,广泛应用于工程、科学和教育领域。它提供了丰富的模块库和仿真环境,使工程师能够快速构建和仿真复杂系统。 Simulink 的核心概念是基于块状图建模,其中每个模块代表一个特定的功能或组件。用户可以通过拖放模块并连接它们来创建系统模型。Simulink 提供了广泛的模块库,涵盖了信号处理、控制系统、动力学和通信等领域。 此外,Simulink 还支持自定义模块开发,允许用户创建自己的模块来扩展其功能。这使得 Simulink 成为一个高度灵活的仿真平