| # vi: ft=dosini | |
| [user] | |
| name = Pavan Kumar Sunkara | |
| email = pavan.sss1991@gmail.com | |
| username = pksunkara | |
| [core] | |
| editor = nvim | |
| whitespace = fix,-indent-with-non-tab,trailing-space,cr-at-eol | |
| pager = delta | |
| [column] |
| 1033edge.com | |
| 11mail.com | |
| 123.com | |
| 123box.net | |
| 123india.com | |
| 123mail.cl | |
| 123qwe.co.uk | |
| 126.com | |
| 150ml.com | |
| 15meg4free.com |
A metatable in Lua defines various extraneous behaviors for a table when indexed, modified, interacted with, etc. They are Lua's core metaprogramming feature; most well known for being useful to emulate classes much like an OOP language.
Any table (and userdata) may be assigned a metatable. You can define a metatable for a table as such:
-- Our sample table
local tab = {}
-- Our metatable
local metatable = {
-- This table is then what holds the metamethods or metafields
Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
| # to generate your dhparam.pem file, run in the terminal | |
| openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048 |
Paste a Baidu Netdisk (百度网盘), Quark Pan (夸克网盘), 123pan (123云盘) or Xunlei (迅雷云盘) share link → see the real size and price → get a direct download link. No account, no Chinese phone number, no app, no 50 KB/s. Files under 150 MB are free. Or post your link in the comments and I'll fetch it for you.
🔄 Last update 24 Oct 2026: Xunlei links are now automatic, and UC Drive and CSDN links are supported too — paste, see size and price, pay, download. PanDownload,
baidu.kinh.cc, userscripts and Telegram bots are dead — see Old methods below.
Fusion Fix [ALL]
Gameface in your main directory (where PlayGTA3.exe, PlayGTAViceCity.exe, or PlayGTASanAndreas.exe is located).
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
Most people are paying for Claude Pro when they don't have to. These 10 platforms give you free API credits on signup, some with daily top-ups too. You plug your key into Claude Desktop's developer mode and get the same Opus 5 / Opus 4.8 experience — no subscription needed.