Zetaphor Zetaphor

Here is the best setup (I think so :D) for K-series Keychron keyboards on Linux.

Most of these commands have been tested on Ubuntu 20.04 and should also work on most Debian-based distributions. If a command happens not to work for you, take a look in the comment section.

Make Fn + F-keys work

Keychron Keyboards on Linux use the hid_apple driver (even in Windows/Android mode), both in Bluetooth and Wired modes. By default, this driver uses the F-keys as multimedia shortcuts and you have to press Fn + the key to get the usual F1 through F12 keys.

	from chainforge.providers import provider
	import openai
	from typing import Optional, Any, List, Dict, Union

	# Define ChatHistory type locally
	ChatMessage = Dict[str, str] # {"role": str, "content": str}
	ChatHistory = List[ChatMessage]

	# Schema for provider settings
	OPENAI_COMPATIBLE_SETTINGS_SCHEMA = {

	const userCounts = [];
	document.querySelectorAll('.fa-robot-astromech').forEach(el => {
	const text = el.closest('p').innerText;
	const count = parseInt(text.match(/[\d,]+/)[0].replace(/,/g, ''));
	userCounts.push(count);
	});

	const totalUsers = userCounts.reduce((sum, count) => sum + count, 0);
	console.log(`Total users: ${totalUsers.toLocaleString()}`);

	import requests
	from datetime import datetime
	import re

	# Bluesky API endpoints
	BASE_URL = "https://bsky.social/xrpc"
	LOGIN_URL = f"{BASE_URL}/com.atproto.server.createSession"
	CREATE_RECORD_URL = f"{BASE_URL}/com.atproto.repo.createRecord"

	# Updated lexicon definition

	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Intelligent Melody Generator</title>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/tone/14.8.49/Tone.js"></script>
	<style>
	body {

	"""
	Read a collection of JSON files from a directory as the inputs to a Markov Chain.
	Also adds the user inputs to the dictionary as the conversation progresses.
	Assumes it's using the formatted data from the NeoLLaMder project.
	Written by ChatGPT
	"""

	import json
	import random
	import re

	docker pull selenium/standalone-chrome
	docker run -d -p 4444:4444 --shm-size=2g selenium/standalone-chrome

	echo 🌡 AMD: `sensors \| grep 'edge:' \| cut -c 16-18 \| rev \| cut -c 2-100 \| rev`°C
	echo 🌡 NVIDIA: `nvidia-smi -q -d temperature \| grep 'GPU Current Temp' \| cut -c 45-47 \| xargs`°C
	echo 🌡 2TB: `sensors \| grep 'Composite:' \| sed -n '1p' \| cut -c 16-18 \| rev \| cut -c 2-10 \| rev`°C
	echo 🌡 1TB: `sensors \| grep 'Composite:' \| sed -n '2p' \| cut -c 16-18 \| rev \| cut -c 2-10 \| rev`°C
	echo ⌬ CPU: `top -bn1 \| sed -n '/Cpu/p' \| awk '{print $2}' `%
	echo ⌧ RAM `free -m \| awk 'NR==2{printf "%.2fGB (%.2f%%)\n", $3/1024,$3*100/$2 }'`
	echo 🌡 CPU `cat /sys/class/thermal/thermal_zone0/temp \| sed 's/.\{3\}$/.&/' \| rev \| cut -c 5-10 \| rev`°C
	echo ֎ FAN: `sensors \| grep cpu_fan \| cut -c 17-100 \| rev \| cut -c 5-100 \| rev \| xargs`RPM

	{
	"MRData": {
	"xmlns": "http:\/\/ergast.com\/mrd\/1.4",
	"series": "f1",
	"url": "http://ergast.com/api/f1/2018/circuits.json",
	"limit": "30",
	"offset": "0",
	"total": "21",
	"CircuitTable": {
	"season": "2018",

	#!/bin/bash

	##### CONFIGURATION #####

	MAC="E8:EC:A3:30:0C:62"
	MODE="connect"

	#########################

	STATUS=$(bluetoothctl info $MAC \| grep "Connected" \| awk '{print $2}')