lloydzhou

// Credit Ryan Carniato https://frontendmasters.com/courses/reactivity-solidjs/

let context = [];

export function untrack(fn) {
    const prevContext = context;
    context = [];
    const res = fn();
    context = prevContext;
    return res;

lloydzhou

经典编程书籍大全

100+ 经典技术书籍，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试 和 编程相关的经典书籍。

这个列表综合了伯乐在线网站以往推荐经典书籍文章中的列表，以及在微信和微博中被广泛推荐的好书。虽然已经包括了100多本，覆盖的面也比较全。仍然有很多方面需要补充，而且相信还有很多没有被收录的好书。欢迎大家在 issues 中推荐或自荐。

计算机系统与网络

• 《图灵的秘密:他的生平、思想及论文解读》
• 《计算机系统概论》

lloydzhou

import regex as re
import requests

MAX_HEADING_LENGTH = 7
MAX_HEADING_CONTENT_LENGTH = 200
MAX_HEADING_UNDERLINE_LENGTH = 200
MAX_HTML_HEADING_ATTRIBUTES_LENGTH = 100
MAX_LIST_ITEM_LENGTH = 200
MAX_NESTED_LIST_ITEMS = 6
MAX_LIST_INDENT_SPACES = 7

lloydzhou

/* 
 * This document is provided to the public domain under the 
 * terms of the Creative Commons CC0 public domain license
 */

How to boot Arch Linux ARM in QEMU (patched for M1)

Prerequisites:

QEMU - patched for M1 processors - patches: https://github.com/utmapp/qemu

lloydzhou

<artifacts_info>
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times

lloydzhou

version: '2'
services:
  nextchat:
    image: yidadaa/chatgpt-next-web
    ports:
      - "3000"

  nginx:
    image: nginx:alpine
    ports:

lloydzhou

import asyncio
import logging
import webbrowser

from urllib.parse import quote

import httpx
from uuid import uuid4

from connectai.lark.websocket import WS_LARK_PROXY_SERVER, WS_LARK_PROXY_PROTOCOL

lloydzhou

#!/usr/bin/python3
import sys
import asyncio
import greenlet

class AsyncIoGreenlet(greenlet.greenlet):
    def __init__(self, driver, fn):
        greenlet.greenlet.__init__(self, fn, driver)
        self.driver = driver

lloydzhou

原文：Docker

如果你在单个生产节点上用过Docker，然后发现单个节点的资源不够用，那么你会怎么做呢？我也遇到过这种情况! 关于在生产环境中使用Docker Swarm，我会为你提供一些建议，也许能够帮到你。这些都是我一年来积累的一些经验。

另外，如果你对Docker Swam不熟悉的话，可以参考我之前的博客My experience with Docker Swarm - when you may need it?（http://suo.im/1m7qW8）

1. 阅读官方文档

lloydzhou

upstream www {
    server 127.0.0.1:9999;
}
upstream redis {
    server 127.0.0.1:6379;
    keepalive 1024;
}
lua_shared_dict srcache_locks 100k;

server {