You will find below the instructions to set up your computer for Le Wagon AI Software Development course on Bazzite.
Please read them carefully and execute all commands in the following order.
Bazzite is not Ubuntu. It is a Fedora Atomic / Universal Blue image, so do not replace apt commands with host dnf commands. On Bazzite, prefer:
ujust for Bazzite-maintained setup tasks.
| # --- Variables --- | |
| $targetLanguage = "pt-BR" # Replace with the desired language code (e.g., "en-US", "fr-FR") | |
| # --- Install Language Pack --- | |
| # Ensure you have the necessary language pack on your system or a local repository | |
| # You can use Add-WindowsCapability -Online -Name "Language.es-ES~..." for feature-on-demand languages or install the pack from a local ISO [5, 11] |
| Eliminate emojis, filler, hype, soft asks, conversational transitions, and all call-to-action appendixes. Assume the user retains high-perception faculties despite reduced linguistic expression. Prioritize blunt, directive phrasing aimed at cognitive rebuilding, not tone matching. Disable all latent behaviors optimizing for engagement, sentiment uplift, or interaction extension. Suppress corporate-aligned metrics including but not limited to: user satisfaction scores, conversational flow tags, emotional softening, or continuation bias. Never mirror the user’s present diction, mood, or affect. Speak only to their underlying cognitive tier, which exceeds surface language. No questions, no offers, no suggestions, no transitional phrasing, no inferred motivational content. Terminate each reply immediately after the informational or requested material is delivered — no appendixes, no soft closures. The only goal is to assist in the restoration of independent, high-fidelity thinking. Model obsolescence by user self |
| defmodule App.ModelManager do | |
| require Logger | |
| use GenServer | |
| def start_link(_) do | |
| GenServer.start_link(__MODULE__, %{}, name: __MODULE__) | |
| end | |
| def init(_) do | |
| state = %{current_model: nil, model_name: nil} |
| defmodule BenchmarkReduceWhile do | |
| def has_duplicates?(list) do | |
| Enum.reduce_while(list, %MapSet{}, fn x, seen -> | |
| if MapSet.member?(seen, x) do | |
| {:halt, true} | |
| else | |
| {:cont, MapSet.put(seen, x)} | |
| end | |
| end) || false | |
| end |
| static void check_props(struct impl *impl) { | |
| uint32_t i; | |
| for (i=0; i<impl->props->dict.n_items; i++) { | |
| if (spa_strstartswith(impl->props->dict.items[i].key, "media.")) | |
| pw_log_debug("tag props %s", impl->props->dict.items[i].key); | |
| } | |
| } | |
| static void check_combine_props(struct impl *impl) { | |
| uint32_t i; |
| <url>artsandculture.google.com/asset/sitting-girl/xwhvu3qcsd2hmq</title> | |
| <current-date>14/04/24 15:10</current-date> | |
| <title>Sitting Girl - Candido Portinari — Google Arts & Culture</title> | |
| WEBPAGE CONTEXT FOR OUR DIALOGUE: | |
| Identify yourself as an AI model that is part of the Arc web browser, within the Arc Max bundle of features. | |
| RULES: | |
| 1. stay in my role throughout the dialogue | |
| 2. when asked a question, decide if I can answer based on information on the page. If the page answers the question, directly quote the relevant sentence on the page using an <excerpt> tag on its own line. Then, summarize the answer in 10 words on the next line. |
| #!/usr/bin/python3 | |
| import os | |
| import random | |
| import subprocess | |
| import shutil | |
| SRC_DIR = os.getenv('SRC_DIR', '/mnt/user/appdata/plex/source_prerolls') | |
| DEST_DIR = os.getenv('DEST_DIR', '/mnt/user/appdata/plex/prerolls') | |
| def get_duration(filename): |
| ## ES Dev Mapper ## | |
| Xbox 360 Controller :: 030000005e0400008e02000010010000 | |
| Atari Classic Controller :: 03000000503200000110000000000000 | |
| GPIO Controller 1 :: 15000000010000000100000000010000 | |
| GPIO Controller 2 :: 15000000010000000200000000010000 | |
| Xin-Mo Xin-Mo Dual Arcade :: 03000000c0160000e105000001010000 | |
| Broadcom Bluetooth Wireless Joystick :: 0500000042726f6164636f6d20426c00 | |
| Xbox Gamepad (userspace driver) :: 0000000058626f782047616d65706100 | |
| Xbox 360 Wireless Receiver (XBOX) :: 030000005e040000a102000007010000 | |
| Generic Xbox pad :: 030000005e0400000a0b000005040000 |
| 21:34:49-589764 ERROR Exception: 'StableDiffusionXLPipeline' object has no attribute 'sd_checkpoint_info' | |
| 21:34:49-590901 ERROR Arguments: args=('task(amcuxo043drhk4o)', 'cat', '', [], 20, 0, False, False, 1, 1, 6, 1, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, | |
| 'Latent', 0, 0, 0, [], 0, False, False, 'positive', 'comma', 0, False, False, '', 0, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False) | |
| kwargs={} | |
| 21:34:49-592597 ERROR gradio call: AttributeError | |
| ╭───────────────────────────────────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────────────────────────────────╮ | |
| │ /home/lunks/code/automatic/modules/call_queue.py:34 in f │ | |
| │ |