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C#公钥加密/Nodejs私钥解密生成密钥的方式见: Nodejs 使用RSA加密/解密 C#.NET使用公钥进行加密 创建两个辅助类 第一个:RSAExtensions public static class RSAExtensions { /// <summary>Extension method for initializing a RSACryptoServiceProvider from PEM data string.</summary> #region Methods /// <summary>Extension method which initializes an RSACryptoServiceProvider from a DER public key blob.</summary> public static void LoadPublicKeyDER(this RSA
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【图解数据结构】二叉查找树二叉查找树定义每棵子树头节点的值都比各自左子树上所有节点值要大,也都比各自右子树上所有节点值要小。二叉查找树的中序遍历序列一定是从小到大排列的。二叉查找树节点定义/// <summary>/// 二叉查找树节点/// </summary>public class Node{ /// <summary> /// 节点值 /// </summary> public int Data { get; set; } /// <summary>
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两个母板页嵌套,在内容页获得第一个母板页数据的问题解决,避免使用FindControl方法,改用接口interface.IGetTextBoxValueable using System;using System.Collections.Generic;using System.Linq;using System.Web;/// <summary>/// Summary description for IGetTextBoxValueable/// </summary>namespace Insus.NET{ public interface IGetTextBoxValueable { string GetTe
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用户控件赋值Insus.NET提供如下解决方法,仅供参考:写一个接口,using System;using System.Collections.Generic;using System.Linq;using System.Web;/// <summary>/// Summary description for ISetable/// </summary>namespace Insus.NET{ public interface ISetable { void SetTextBoxText(string value);
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- 3. 修改描述文件 让我们编辑 my_gem_duxiao.gemspec 这个文件,修改一些描述文件。spec.summary = %q{TODO: Write a short summary, because RubyGems requires one.}spec.description = %q{TODO: Write a longer description or delete this line.}需要把 TODO 文字都去掉,要不然没法进行下一步操作。按照你自己想的修改一下 summary 和description。代码尽量都放到 lib/目录下。
- 1.3 编写 Prometheus 的告警规则 <code>rule_1.yml</code> groups: - name: rule-1 rules: - alert: "服务运行告警" expr: up{job="cadvisor"} < 1 # 告警等待时间 for: 1m labels: severity: warning annotations: summary: "服务名: {{$labels.alertname}}" description: "容器cadvisor已停止"
- 3. 创建新的工作空间 点击头部默认的工作空间,会看到如下图所示,点击“Create New”:会进入如下画面,输入名称 ( name ),总结 ( summary ),选择类型(team 团队/ personal 个人),然后邀请队员加入这个工作空间:
- 2. 使用tf.keras.layers.Masking层 我们依然以我们的文本分类模型为例,为了添加Masking层,我们将模型进行如下修改:model3 = tf.keras.Sequential([ tf.keras.layers.Masking(input_shape=(256,)), tf.keras.layers.Embedding(10000, 32), tf.keras.layers.GlobalAveragePooling1D(), tf.keras.layers.Dense(64, activation='relu'), tf.keras.layers.Dense(1, activation='sigmoid')])model3.summary()在该模型之中,因为Masking层是位于第一层,因此我们要设置参数input_shape,这里的参数(256,)表示的是我们的每条数据都是padding长度为256的序列。于是我们可以得到输出:Model: "sequential_10"_________________________________________________________________Layer (type) Output Shape Param # =================================================================masking_5 (Masking) (None, 256) 0 _________________________________________________________________embedding_10 (Embedding) (None, 256, 32) 320000 _________________________________________________________________global_average_pooling1d_10 (None, 32) 0 _________________________________________________________________dense_20 (Dense) (None, 64) 2112 _________________________________________________________________dense_21 (Dense) (None, 1) 65 =================================================================Total params: 322,177Trainable params: 322,177Non-trainable params: 0_________________________________________________________________由此可以看到,虽然masking层没有参数,但是它确实作为一个网络层包含进了网络。
- 1. 使用tf.keras.layers.Embedding层并设置mask_zero=True 因为我们已经使用了Embedding,因此我们只需要直接设置参数mask_zero=True即可:model2 = tf.keras.Sequential([ tf.keras.layers.Embedding(10000, 32, mask_zero=True), tf.keras.layers.GlobalAveragePooling1D(), tf.keras.layers.Dense(64, activation='relu'), tf.keras.layers.Dense(1, activation='sigmoid')])model2.summary()于是我们可以看到网络的结构:Model: "sequential_2"_________________________________________________________________Layer (type) Output Shape Param # =================================================================embedding_2 (Embedding) (None, None, 32) 320000 _________________________________________________________________global_average_pooling1d_2 ( (None, 32) 0 _________________________________________________________________dense_4 (Dense) (None, 64) 2112 _________________________________________________________________dense_5 (Dense) (None, 1) 65 =================================================================Total params: 322,177Trainable params: 322,177Non-trainable params: 0_________________________________________________________________我们可以发现网络的结构没有发生变化,为了验证该Mask已经生效,于是我们可以进行测试:print(model(inputs))print(model2(inputs))我们可以通过输出看到,我们设置的遮掩(Mask)已经生效:tf.Tensor([[0.5014145 ] [0.50220466] [0.5058755 ]], shape=(3, 1), dtype=float32)tf.Tensor([[0.4913409 ] [0.49880138] [0.49782944]], shape=(3, 1), dtype=float32)
- 3. 构建这个项目 有了之前章节的铺垫,项目构建就变得非常容易了。我们将目录切换到 mall-aggregate 目录下,执行 mvn clean install 命令,就可以得到如下执行结果。[INFO] Scanning for projects...[WARNING][WARNING] Some problems were encountered while building the effective model for com.mic.tech:mall-web:war:1.0.0-SNAPSHOT[WARNING] 'dependencies.dependency.(groupId:artifactId:type:classifier)' must be unique: junit:junit:jar -> duplicate declaration of version (?) @ line 46, column 17[WARNING][WARNING] It is highly recommended to fix these problems because they threaten the stability of your build.[WARNING][WARNING] For this reason, future Maven versions might no longer support building such malformed projects.[WARNING][INFO] ------------------------------------------------------------------------[INFO] Reactor Build Order:[INFO][INFO] mall-aggregate [pom][INFO] mall-account [jar][INFO] mall-commodity [jar][INFO] mall-order [jar][INFO] mall-delivery [jar][INFO] mall-web Maven Webapp [war][INFO][INFO] --------------------< com.mic.tech:mall-aggregate >---------------------[INFO] Building mall-aggregate 1.0.0-SNAPSHOT [1/6][INFO] --------------------------------[ pom ]---------------------------------[INFO] ...[INFO] ---------------------< com.mic.tech:mall-account >----------------------[INFO] Building mall-account 1.0.0-SNAPSHOT [2/6][INFO] --------------------------------[ jar ]---------------------------------[INFO] ...[INFO] --------------------< com.mic.tech:mall-commodity >---------------------[INFO] Building mall-commodity 1.0.0-SNAPSHOT [3/6][INFO] --------------------------------[ jar ]---------------------------------[INFO] ...[INFO] ----------------------< com.mic.tech:mall-order >-----------------------[INFO] Building mall-order 1.0.0-SNAPSHOT [4/6][INFO] --------------------------------[ jar ]---------------------------------[INFO] ...[INFO] ---------------------< com.mic.tech:mall-delivery >---------------------[INFO] Building mall-delivery 1.0.0-SNAPSHOT [5/6][INFO] --------------------------------[ jar ]---------------------------------[INFO] ...[INFO] -----------------------< com.mic.tech:mall-web >------------------------[INFO] Building mall-web Maven Webapp 1.0.0-SNAPSHOT [6/6][INFO] --------------------------------[ war ]---------------------------------[INFO] ...[INFO] Building war: D:\code\mall-aggregate\mall-web\target\mall-web.war[INFO] ------------------------------------------------------------------------[INFO] Reactor Summary for mall-aggregate 1.0.0-SNAPSHOT:[INFO][INFO] mall-aggregate ..................................... SUCCESS [ 0.897 s][INFO] mall-account ....................................... SUCCESS [ 2.173 s][INFO] mall-commodity ..................................... SUCCESS [ 0.191 s][INFO] mall-order ......................................... SUCCESS [ 0.192 s][INFO] mall-delivery ...................................... SUCCESS [ 0.148 s][INFO] mall-web Maven Webapp .............................. SUCCESS [ 3.331 s][INFO] ------------------------------------------------------------------------[INFO] BUILD SUCCESS[INFO] ------------------------------------------------------------------------[INFO] Total time: 7.154 s[INFO] Finished at: 2020-05-09T22:55:42+08:00[INFO] ------------------------------------------------------------------------
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