Date of the guide : April, 2026
In this post, I will provide the solution that worked on my system on how to install Radeon Open Compute (ROCm) on Arch (linux- 6.19.11.arch1-1) for RX 6900 XT (Should work on other 6000 series and more recent). ROCm is an open-source software platform that allows GPU-accelerated computation. This tool is a prerequist to use GPU Acceleration on TensorFlow or PyTorch.
| // SPDX-License-Identifier: MIT | |
| // Copyright (c) 2023 Rink Springer <rink@rink.nu> | |
| // | |
| // Based on https://github.com/Neargye/magic_enum/blob/master/include/magic_enum.hpp | |
| // Copyright (c) 2019 - 2022 Daniil Goncharov <neargye@gmail.com>. | |
| // | |
| // Permission is hereby granted, free of charge, to any person obtaining a copy | |
| // of this software and associated documentation files (the "Software"), to deal | |
| // in the Software without restriction, including without limitation the rights | |
| // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
To start using the Jellyfin API, authorization is probably the first thing you'll need to do. Jellyfin's authorization options can be a bit confusing because there are a lot of deprecated options.
Generally there are three ways to authenticate: no authorization, user authorization with an access token or authorization with an API key. The first way is easy, just do nothing. But most often you'll need to use either the access token or API key.
There are two methods to send authorization values to the server. The preferred method is by using the Authorization header with the custom MediaBrowser scheme. When a header value is not possible (e.g. URLs send to external applications or due to other constraints) the ApiKey query parameter can be used. The query parameter just takes an access token or API key. We strongly recommend to always use the Authorization hea
| tool | |
| extends SceneTree | |
| const PLATFORM_ANDROID = "Android" | |
| const PLATFORM_HTML5 = "HTML5" | |
| const PLATFORM_IOS = "iOS" | |
| const PLATFORM_LINUX = "Linux/X11" | |
| const PLATFORM_MAC = "Mac OSX" | |
| const PLATFORM_UWP = "UWP" | |
| const PLATFORM_WINDOWS = "Windows Desktop" |
| extends KinematicBody2D | |
| export var move_speed = 200.0 | |
| var velocity := Vector2.ZERO | |
| export var jump_height : float | |
| export var jump_time_to_peak : float | |
| export var jump_time_to_descent : float |
| // ln.c | |
| // | |
| // simple, fast, accurate natural log approximation | |
| // when without <math.h> | |
| // featuring * floating point bit level hacking, | |
| // * x=m*2^p => ln(x)=ln(m)+ln(2)p, | |
| // * Remez algorithm | |
| // by Lingdong Huang, 2020. Public domain. |
| # This is a basic workflow to help you get started with Actions | |
| # workflow - цепочка действий | |
| # Имя процесса Билдится на всех типах 📦 🐍 | |
| name: CMake Build Matrix | |
| # Controls when the action will run. Triggers the workflow on push | |
| on: | |
| push: | |
| pull_request: | |
| release: |
| #include <assert.h> | |
| #include <stdio.h> | |
| #include <stdlib.h> | |
| #include <X11/Xlib.h> /* of course */ | |
| #include <X11/Xutil.h> /* duuuh */ | |
| #include <sys/ipc.h> | |
| #include <sys/shm.h> | |
| #include <X11/extensions/XShm.h> /* obviously */ |
| import discord | |
| import asyncio | |
| import speech_recognition as sr | |
| from threading import Thread | |
| # bot token and wit.ai api key | |
| TOKEN = "" | |
| WIT_AI_KEY = "" | |
| # we need a sink for the listen function, so we just define our own |
