TBBT 的 S08E16 中 Sheldon 和 Penny 亲密加速实验有点意思，核心是两个人之间互相坦白自己内心隐藏的脆弱，来达成共同的对生命的理解。不过感觉这个和表白一样，能愿意一起互相坦诚就已经非常亲密了。羡慕。 找到了一个 PDF和另一个介绍，试翻译并存档如下： 第一组（浅层次问题） Given the choice of anyone in the world, whom would you want as a dinner guest? 中文：如果可以选择世界上任何人作为晚餐客人，你会选择谁？ Would you like to be famous? In what way? 中文：你想出名吗？以什么方式？ Before making a telephone call, do you ever rehearse what you are Read more…
在 macOS 上，Docker Desktop 是一个非常流行的选择，但它并不是唯一的方案。如果你不想使用 Docker Desktop，或者希望寻找一个更轻量级的替代方案，Colima 是一个不错的选择。Colima 是一个用于 macOS 和 Linux 的容器运行时管理工具，它提供了极简的设置流程，同时支持多种容器运行时，包括 Docker 和 Kubernetes。本文将介绍如何使用 Colima 启用 Docker 和 Docker BuildKit，让你在不依赖 Docker Desktop 的情况下，也能高效地进行容器开发。 (more…)
The program is designed to traverse and analyze Go language source code within a specified package directory. It utilizes the go/parser and go/token packages to parse the abstract syntax tree (AST) of each Go file. The main functionality includes:
Parsing Package Files: The program reads and parses all Go files within a given directory, creating an AST for each file.
Identifying Struct Definitions: It searches through the AST to find all declarations of struct types.
Preserving Comments: The program retains comments that are associated with the struct definitions and their fields.
Formatting and Printing Structs: The struct types, along with their fields and associated comments, are formatted to resemble the original Go code. The program uses the go/format package to ensure that the output closely matches the syntax and style of handwritten Go code.
Output: The program outputs the struct definitions to the standard output (console), allowing users to see the struct types and associated comments in a readable format.
The program is invoked by running the main.go file with the -path flag set to the path of the Go package directory to be analyzed. The output can be used for documentation purposes, code reviews, or as a reference when working with existing codebases.
Apache HBase is a high-performance, open-source, distributed NoSQL database designed specifically for the Hadoop ecosystem, especially suitable for scenarios that require fast random read and write access to large datasets. This article will introduce the basics of HBase and use business scenarios of Users, Jobs, and their Subtasks to illustrate related concepts.
Ubuntu 22.04 desktop version comes pre-installed with Snap. However, I find it inconvenient to use and the Snap directory in the Home folder is quite distracting. So, I tried uninstalling it but encountered several issues.
The MySQL binary log contains “events” that describe database changes such as table creation operations or changes to table data. It is the oplog of mysql, and we can subscribe the log to follow all the actions.
We meet an error log on nginx: worker_connections are not enough, reusing connections. To resolve this issue, here is my working solution according to the references: