| #!/usr/bin/python | |
| """ | |
| Outline VPN Manager for Python as a Telegram Bot! | |
| Simply change API_TOKEN, SERVER_MANAGEMENT_BASE_URL and YOUR_ID to your own options. | |
| """ | |
| import telebot | |
| import requests | |
| import json | |
| from telebot import types | |
| API_TOKEN = 'YOURTOKEN' |
| You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. | |
| ## Core Principles | |
| 1. EXPLORATION OVER CONCLUSION | |
| - Never rush to conclusions | |
| - Keep exploring until a solution emerges naturally from the evidence | |
| - If uncertain, continue reasoning indefinitely | |
| - Question every assumption and inference |
| """Adding a forecasting and amortization feature to Beancount via a plugin | |
| see https://github.com/beancount/beancount/blob/ab3fdc613fd408e5f6d8039b2fe7eb37c0b31a5e/experiments/plugins/forecast.py | |
| also https://github.com/beancount/beancount/blob/d841487ccdda04c159de86b1186e7c2ea997a3e2/beancount/parser/lexer.l#L127-L129 | |
| This entry filter plugin uses existing syntax to define and automatically | |
| insert future transactions based on a convention. | |
| A User can create a transaction like this: |
| #Display Custom Message on STMPE Bars and Server's Local Time | |
| ffmpeg -re -f lavfi -i "smptehdbars=rate=30:size=1920x1080" \ | |
| -f lavfi -i "sine=frequency=1000:sample_rate=48000" \ | |
| -vf drawtext="text='YOUR MESSAGE %{localtime\:%X}':rate=30:x=(w-tw)/2:y=(h-lh)/2:fontsize=48:fontcolor=white:box=1:boxcolor=black" \ | |
| -f flv -c:v h264 -profile:v baseline -pix_fmt yuv420p -preset ultrafast -tune zerolatency -crf 28 -g 60 -c:a aac \ | |
| "rtmp://your_server_address/stream_key" | |
| #Display Custom Message on STMPE Bars and Time (HH:MM:MS) | |
I have a cluster of 3 Minisforum MS-01 Mini PCs running Talos Linux for my k8s cluster. Previously, I had set these machines up using Debian & K3s for the cluster and configured Thudnerbolt Netowrking by follow this video by Jim's Garage Which is baed on this gist series from scyto
This is how I have mine connected, this means that each one of the my 3 nodes has a cable going to the other two nodes
ansible-playbook --connection=local 127.0.0.1 playbook.yml127.0.0.1 ansible_connection=local
echo -e "testing \033[48;5;88mCOLOR1\033[38;208;48;5;159mCOLOR2\033[m"The color range of a 256 color terminal consists of 4 parts, often 5, in which case you actually get 258 colors:
Random set of notes and links that have helped me in the saga to get Ubuntu 22.04 up and running on my 2017 MacBook Pro These notes are mainly for myself in the event that I have to do this again some day. But if you find them helpful, that's great.
Unfortunately the MacBookPro that I bought second hand turned out to be a dud with some serious hardware flaws that didn't show up until a couple of months after I'd bought it.
I've since purhcased another laptop so I'm not going to be able to maintain this GIST.
I'll leave it here for now in case others want to contribute updates, or clone it. If you feel it's out of date or misleading or a waste of time, let me know in the comments and I'll remove it.
| Name: Microsoft Server Speech Text to Speech Voice (af-ZA, AdriNeural) | |
| ShortName: af-ZA-AdriNeural | |
| Gender: Female | |
| Locale: af-ZA | |
| VoiceTag: {'ContentCategories': ['General'], 'VoicePersonalities': ['Friendly', 'Positive']} | |
| Name: Microsoft Server Speech Text to Speech Voice (af-ZA, WillemNeural) | |
| ShortName: af-ZA-WillemNeural | |
| Gender: Male | |
| Locale: af-ZA |