validation | 易学教程

Override ValidateAsync in UserValidator.cs for .NET Core Identity 2.1

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问题 I'm customizing the validation for username to allow the same username (non-unique). This is with an additional field "Deleted" as a soft delete to identity user. So the customization involves changing the current validation to check if the username already exist and deleted is false to only trigger DuplicateUserName error. What I've done is create a CustomUserValidator class, and override the ValidateAsync method in UserValidator.cs as well as the ValidateUserName method. Below is the code:

Django Form Validation on Class Based View

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问题 I have a very simple Class Based View: In views.py: class IncidentEdit(UpdateView): model=Incident fields = visible_field_list sucess_url = '/status' works fine as-is. I have associated CreateView , DeleteView , etc. I can create edit and delete records. Now to fine-tune the project, I need to add field validation. My question : Where do I put basic validation code when I have based the view on the 'model=' rather than 'form=' ? I could change everything to use form based views, but the whole

React formik form validation: How to initially have submit button disabled

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问题 Below is my React form validation code in which I am using formik . By default when the form loads, I want to keep the submit button disabled: import { useFormik } from "formik"; import * as Yup from "yup"; const formik = useFormik({ initialValues: { firstName: "", lastName: "", email: "" }, validationSchema: Yup.object({ firstName: Yup.string() .max(15, "Must be 15 characters or less") .min(3, "Must be at least 3 characters") .required("Required"), lastName: Yup.string() .min(3, "Must be at

React formik form validation: How to initially have submit button disabled

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Add a prefix to TextField in SwiftUI

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问题 I want a ‘+’ Sign in the Textfield which cannot be erased. A user should be able to enter values after it and if he presses backspace it should only erase the value he entered. And when I write any other number it will automatically add a ‘+’ at the beginning of the enter value. For Example:- I want to add country code in the textfield so, '+' automatically add in the beginning of the field as soon as user start typing a country code. 回答1: normally you should post your coding tries here,

Add a prefix to TextField in SwiftUI

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SpringBoot atomically convert integer to boolean with @RequestBody annotation? How can I reject integer to be converted to boolean?

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问题 My request was an application/json type like this: {"able": true} , but when I send the request like this {"able":12345} , the field able still can get a correct value true . Why? @PatchMapping("/{id}/path/{name}") public ResponseEntity someMethod( @Valid @RequestBody SomeRequest request) { // do something } @Getter @Setter @NoArgsConstructor @AllArgsConstructor public class SomeRequest { @AssertTrue @NotNull private Boolean able; } 回答1: Because jackson.databind will parse int to bool when

深度学习笔记

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第一讲深度学习概述 1.1 深度学习的引出特点：通过组合低层特征，形成了更加抽象的高层特征。表达式中的 u，w参数需要在训练中通过反向传播多次迭代调整，使得整体的分类误差最小。深度学习网络往往包含多个中间层（隐藏层），且网络结构要更复杂一些。 1.2 数据集及其拆分 Iris（鸢尾花）数据集分类特征：花萼和花瓣的宽度和长度数据集在数学上通常表示为 $\{(x_1,y_1),(x_2,y_2),...,(x_i,y_i),...,(x_m,y_m)\}$ 其中 $x_i$ 为样本特征。由于样本（即一行）一般有多个特征，因而 $x_i = \{x_i^1, x_i^2,..., x_i^n\} $ 而 $y_i$ 表示样本i 的类别标签。类别标签的ground truth 与 gold standard ground truth ：翻译为地面实况。机器学习领域一般用于表示真实值、标准答案等，表示通过直接观察收集到的真实结果。 gold standard ：金标准，医学上一般指诊断疾病公认的最可靠的方法。机器学习领域更倾向于使用ground truth，如果用gold standard则表示可以很好地代表ground truth。 1.21 数据集与有监督学习有监督学习中数据通常分成训练集、测试集两部分。训练集(

Spring Boot 参数校验

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1、背景介绍开发过程中，后台的参数校验是必不可少的，所以经常会看到类似下面这样的代码这样写并没有什么错，还挺工整的，只是看起来不是很优雅而已。接下来，用Validation来改写这段 2、Spring Boot文档中的Validation 在Spring Boot的官网中，关于Validation只是简单的提了一句，如下其实， Spring Validator 和 Hibernate Validator 是两套Validator，可以混着用，这里我们用 Hibernate Validator 3、Hibernate Validator https://docs.jboss.org/hibernate/stable/validator/reference/en-US/html_single/#preface 4、Spring Validator https://docs.spring.io/spring/docs/5.0.5.RELEASE/spring-framework-reference/core.html#validation 5、示例 5.1、引入spring-boot-starter-validation 5.2、定义一个对象 5.3、适用@Valid校验，并将校验结果放到BindingResult对象中注意：默认情况下，如果校验失败会抛javax

2017-ICLR-Neural Architecture Search with Reinforcement Learning 论文阅读

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NAS with RL 2017-ICLR-Neural Architecture Search with Reinforcement Learning Google Brain Quoc V . Le etc GitHub： stars Citation：1499 Abstract we use a recurrent network to generate the model descriptions of neural networks and train this RNN with reinforcement learning to maximize the expected accuracy of the generated architectures on a validation set. 用RNN生成模型描述（边长的字符串），用RL（强化学习）训练RNN，来最大化模型在验证集上的准确率。 Motivation Along with this success is a paradigm shift from feature designing to architecture designing, 深度学习的成功是因为范式的转变：特征设计（SIFT、HOG）到结构设计（AlexNet、VGGNet）。 This paper presents Neural