The IPython Notebook has two different keyboard input modes. Edit mode allows you to type code/text into a cell and is indicated by a green cell border. Command mode binds the keyboard to notebook level actions and is indicated by a grey cell border.
| #!/usr/bin/env python | |
| """ | |
| Rudimentary Spotify Web Proxy using mitmproxy. | |
| Use it by your own responsibility!! | |
| This was only entertainment!! | |
| """ | |
| import random | |
| import hashlib |
| -- Tit Petric, Monotek d.o.o., Tue 03 Jan 2017 06:54:56 PM CET | |
| -- | |
| -- Delete nginx cached assets with a PURGE request against an endpoint | |
| -- supports extended regular expression PURGE requests (/upload/.*) | |
| -- combine single,all,match three mode | |
| -- updated by nosun nosun2008@126.com | |
| local md5 = require 'md5' | |
| function file_exists(name) |
| location ~ .*\.(gif|jpg|jpeg|png|bmp|swf)$ { | |
| etag off; #关闭etag | |
| expires 1d; #有效期一天 | |
| # expires的单位可以使用 | |
| # ms: 毫秒 | |
| # s: 秒 | |
| # m: 分钟 | |
| # h: 小时 | |
| # d: 天 | |
| # w: 星期 |
| -- a quick LUA access script for nginx to check IP addresses against an | |
| -- `ip_blacklist` set in Redis, and if a match is found send a HTTP 403. | |
| -- | |
| -- allows for a common blacklist to be shared between a bunch of nginx | |
| -- web servers using a remote redis instance. lookups are cached for a | |
| -- configurable period of time. | |
| -- | |
| -- block an ip: | |
| -- redis-cli SADD ip_blacklist 10.1.1.1 | |
| -- remove an ip: |
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.
