A clear and concise description of what the bug is.
A clear and concise description of what you expected to happen.
What is the impact of this bug on the user, how critical is to fix? P0, P1 .. P4
| (async () => { | |
| _blsbu = "https://www.googleapis.com"; | |
| var wfcall = window.fetch.call; | |
| window.fetch.call = function() { | |
| if (!arguments[1].includes("s.blooket.com/rc")) | |
| return wfcall.apply(this, arguments); | |
| } | |
| if (console.log("%c Blooket Cheats Plus %c\n By DannyDan0167/CryptoDude3 on GitHub", "color: #0bc2cf; font-size: 3rem", "color: #8000ff; font-size: 1rem"), console.log("%c gui.js", "color: #0bc2cf; font-size: 1rem"), console.log("%c Star the github repo!%c https://github.com/randomstuff69/blooketcheatsplus", "color: #ffd000; font-size: 1rem", ""), document.querySelector("script[src*='bfs/index.js']") && !window.clearId) { | |
| for (var e, t, a, o, r, i, n, s, e = document.createElement("iframe"), t = (document.body.appendChild(e), window.clearId = window.setInterval(() => {}, 0)); t--;) | |
| e.contentWindow.clearInterval.call(window, t); |
| # download gta from http://www.rockstargames.com/classics/ | |
| # download wine from http://winebottler.kronenberg.org/ | |
| # or install wine via brew install wine | |
| # change export path if you are using brew install wine | |
| export WINEPATH=/Applications/Wine.app/Contents/Resources | |
| export PATH=$PATH:$WINEPATH/bin | |
| # direplay support for network | |
| brew install winetricks |
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.
| #!/bin/bash | |
| DEBIAN_FRONTEND="noninteractive" | |
| # Default values for parameters | |
| DEFAULT_PHP_VERSION=8.4 | |
| DEFAULT_NODE_VERSION=24 | |
| DEFAULT_DOMAIN="example.test" | |
| DEFAULT_USER="example" | |
| DEFAULT_MYSQL_PASSWORD=$(openssl rand -base64 10) |
Whisparr V3 does not have an out of the box import to take content stored Sonarr-style (v2) and move it to be stored Radarr-style (V3). To work around this, we'll use a strategy that utilizes the Manual Import feature, which allows for moving 100 files at a time
<studio>.<yyyy-MM-dd>.<performers>.<title>.mp4
StashApp or namer, first, do ensure they are, before proceeding., V3 does the most accurate matching based on this.