synonyms reading of

Spring Boot - Parameter 0 of constructor in com.example.iocdi.controller.UserController required a single bean, but 2 were found

问题描述 如上图所示,在加入了 @MapperScan 注解之后就出现了这个问题。 file:[src/java/config/MybatisConfig.java] @Configuration @MapperScan("com.example.iocdi") public class Mybat ......

Redis - 出现ERROR:WRONGTYPE Operation against a key holding the wrong kind of value

原因:用的方法与redis服务器中存储数据的类型存在冲突。 比如:有一个key的数据存储的是list类型的,但使用redis执行数据操作的时候却使用了非list的操作方法。 对一个Redis键执行不兼容的操作,这个错误通常发生在以下情况: 1、类型不匹配:试图执行的操作与键存储的数据类型不匹配。例如 ......
Operation WRONGTYPE against holding Redis

ant design of vue 表格 默认,跨页勾选,翻页选择记忆勾选,数据回显勾选

需求 在使用ant design of vue 的table表格时需要让之前已选择的数据显示勾选状态,还要支持跨页勾选 思路 需要指定row-key绑定的值必须唯一 ant-design-vue的表格对于跨页勾选支持的非常友好,只要设置绑定一下rowKey就可以了,我这里绑定的是workerId 代 ......
表格 记忆 数据 design ant

Proj. CRR Paper Reading: Optimal Speedup of Las Vegas Algorithms, Adaptive restart for stochastic synthesis

Title Adaptive restart for stochastic synthesis PLDI 2021 Task Distribute the power between multiple runs in stochastic program synthesis to accelerat ......

The_Counterintuitive_Art_of_Memory:_Why_Retrieval_Beats_Cramming_

Introduction I have spent years as a cognitive psychologist, delving into the intricate mechanisms of memory and learning. And if there's one thing I' ......

Models List of Traffic Forecasting

模型列表 基线模型 对于时间序列预测任务:(模型在test/目录下) HA: 历史平均值,将历史流量建模为季节性过程,然后使用前几个季节的加权平均值作为预测值。 VAR: 向量自回归,这是一种常用的时间序列预测模型,用于捕捉多个变量随时间的关系。 SVR: 支持向量回归,它使用线性支持向量机进行回归 ......
Forecasting Traffic Models List of

Typical Models of RNN and TFF

RNN LSTM(2014) Recurrent Neural Networks Hidden State: \(h\) \(h_t = tanh(U h_{t-1} + W x_t + b)\) \(y_t = Vh_t\) h: history state tanh : active funct ......
Typical Models RNN TFF and

Java创建List的4种方法 Stream.of("a", "b").collect(Collectors.toList()); List list3 = Lists.newArrayList("f", "g");

Java创建List的4种方法 原文链接:https://blog.csdn.net/senlin1202/article/details/116135993 1、通过构造方法,例如:List<String> list = new ArrayList<>(); 然后调用list.add增加元素,如果 ......
quot List newArrayList Collectors collect

Paper Reading: Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems

针对欠采样方法会丢弃大量多数类样本导致信息缺失的问题,本文提出了基于哈希的欠采样集成 HUE 模型,它利用 Bagging 和多数类样本的分布特征来构建多样化的训练子集。首先 HUE 通过散列将大多数类样本划分为不同的特征子空间,然后使用所有少数样本和主要从同一哈希子空间中提取的部分多数样本来构建训... ......

Codeforces Round 819 (Div. 1 + Div. 2) and Grimoire of Code Annual Contest 2022 A. Mainak and Array

给一个长为 \(n\) 的正整数数组,执行以下操作严格一次。 选择 \(l, r, (1 \leq l < r \leq n)\) ,任意一个正整数 \(k\) 。 重复 \(k\) 次:让 \([l, r]\) 的数组成环,按顺时针走一次。 希望 \(a_n - a_1\) 最大,找到这个数。 分 ......
Codeforces Div and Grimoire Contest

Codeforces Round 821 (Div. 2) B. Rule of League

有 \(n\) 名选手参加一场比赛,编号为 \(1 \sim n\) 。规则为: 选手 \(1\) 和选手 \(2\) 比赛 第 \(1\) 轮胜者胜者与选手 \(3\) 比赛; 第 \(2\) 轮胜者与选手 \(4\) 比赛 \(\cdots\) 第 \(n - 2\) 轮胜者与选手 \(n\) ......
Codeforces League Round Rule 821

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert 论文笔记

最近一直在看虚拟人像. 最关键的论文就是wav2lip. 目前项目中也是用的这个. 一个视频加一个语音, 就可以生成用视频里面的头,加语音的新视频. 现在看这篇论文Seeing What You Said: Talking Face Generation Guided by a Lip Readin ......
Generation Reading Talking 笔记 Seeing

What We’re Reading: What makes you happy?

Hi everybody, As I enjoy the last dregs of summer in Chicago, I bask in the nearly-perfect pre-winter weather, the joy in returning my kids to school, ......
What Reading makes happy you

Proj CDeepFuzz Paper Reading: Metamorphic Testing of Deep Learning Compilers

## Abstract 背景:Compiling DNN models into high-efficiency executables is not easy: the compilation procedure often involves converting high-level model ......

evil-winrm:An error of type OpenSSL::Digest::DigestError happened, message is Digest initialization

使用evil-winrm无法连接主机,出现以下错误 Info: Establishing connection to remote endpoint Error: An error of type OpenSSL::Digest::DigestError happened, message is D ......

关于SpringBoot 启动失败 Invocation of init method failed; nested exception is java.lang.IllegalStateException: Ambiguous mapping. 的问题解析

Application run failed org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'requestMappingHandlerMapping' defined i ......

解决npm ERR! Cannot read properties of null (reading ‘pickAlgorithm‘)报错问题

转载自:https://www.cnblogs.com/zhyp/p/16920380.html 解决方法:在终端中运行命令:npm cache clear --force 然后重新运行 npm i 命令,再次安装安装完成,没有出现报错npm run serve 运行项目,项目可以正常启动了。 安装 ......

微服务启动失败,报错信息:java.lang.RuntimeException: dynamic-datasource Please check the setting of primary

【问题描述】 Caused by: org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'dataSource' defined in class path resource [ ......

CF1857E Power of Points

`2023-08-08 22:59:22 CF1857E solution` ## 思路 我们发现每个点的答案其实是它与之前的点的答案加上与后面的点的答案加上与自己的答案。而与前面和与后面的前后缀答案都是可以通过递推的方式得到的,我们令 $pre_i$ 表示 $i$ 点的前缀答案,$sub_i$ 表 ......
Points 1857E Power 1857 CF

Why Kiki's Delivery Service Is The Perfect Coming of Age Story

# Why Kiki's Delivery Service Is The Perfect Coming of Age Story Studio Ghibli is well known for producing timeless classics that have engaging protag ......
Delivery Service Perfect Coming Story

[LeetCode] 1383. Maximum Performance of a Team

You are given two integers n and k and two integer arrays speed and efficiency both of length n. There are n engineers numbered from 1 to n. speed[i]  ......
Performance LeetCode Maximum 1383 Team

Proj CDeepFuzz Paper Reading: A Comprehensive Study of Deep Learning Compiler Bugs

## Abstract 背景:深度学习编译器处理的深度学习模型与命令式程序有根本的不同,因为深度学习模型中的程序逻辑是隐式的。(the DL models processed by DL compilers differ fundamentally from imperative programs ......

Proj CDeepFuzz Paper Reading: DeepMutation: Mutation Testing of Deep Learning Systems

## Abstract 本文:DeepMutation Github: https://github.com/berkuva/mutation-testing-for-DNNs Task: mutation testing framework specialized for DL systems t ......

Proj CDeepFuzz Paper Reading: Testing Deep Neural Networks

## Abstract 本文:DeepCover Github: https://github.com/TrustAI/DeepCover Task: propose 4 novel test criteria to test DNNs Method: inspired by MC/DC cover ......
CDeepFuzz Networks Reading Testing Neural

Proj CDeepFuzz Paper Reading: TensorFlow: a system for Large-Scale machine learning

## Abstract 本文:Tensorflow Github: https://github.com/tensorflow/tensorflow Task: Detail on Tensorflow dataflow model 特点: 1. operates at large scale an ......

Proj CDeepFuzz Paper Reading: SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks

## Abstract 本文:SparseProp Github: https://github.com/IST-DASLab/sparseprop Task: a back-propagation algo for sparse training data, a fast vectorized i ......

Proj CDeepFuzz Paper Reading: PyTorch: an imperative style, high-performance deep learning library

## Abstract 本文: PyTorch Task: detail the implementation and architecture of PyTorch Github: https://github.com/pytorch/pytorch 特点: 1. PyTorch同时关注可用性和速 ......

Proj CDeepFuzz Paper Reading: Software Testing with Large Language Model: Survey, Landscape, and Vision

## Abstract 本文: Task: Review on the use of LLMs in software testing Method: 1. analyzes 52 relevant studies ## 1. Intro ![](https://img2023.cnblogs.co ......

go101自定义泛型翻译——First Look of Custom Generics(上)

## 初识自定义泛型 1. 在自定义泛型的世界中。可能会与被定义成泛型类型的类型,泛型函数的函数。此外泛型类型也是会被定义成类型的,所有它们也可能会有相应的方法。 2. 关于泛型类型,泛型函数以及相应的方法的定义都会包含一种称为类型参数列表的部分,这是与普通方法函数以及方法最大的不同之处。 ### ......
Generics Custom First Look 101