Saren-Arterius

#!/bin/sh
cage -- bash -c 'wlr-randr --output X11-1 --custom-mode 1280x800; sleep 1; sudo /usr/local/bin/waydroid-helper & waydroid show-full-ui'

logan2611

Deck for Enthusiasts

This is a guide that I put together which is primarily aimed at Steam Deck enthusiasts and developers. I will be updating this over time as I think of more things to put in here.

Table of Contents

• SteamOS Tweaks
  • Btrfs
  • zram
  • Automatic mounting of external drives
• Other

matteodelabre

#!/usr/bin/env bash
# /home/root/monitor_wlan0_ip.sh
iface=wlan0

get_dbus_iface() {
    dbus-send --system --dest=fi.w1.wpa_supplicant1 --print-reply=literal \
        /fi/w1/wpa_supplicant1 \
        fi.w1.wpa_supplicant1.GetInterface \
        "string:$iface" \
    | sed 's/^ *//g'

peterhurford

brew install pandoc
brew tap homebrew/cask
brew install --cask basictex
eval "$(/usr/libexec/path_helper)"
# Update $PATH to include `/usr/local/texlive/2022basic/bin/universal-darwin`
sudo tlmgr update --self
sudo tlmgr install texliveonfly
sudo tlmgr install xelatex
sudo tlmgr install adjustbox
sudo tlmgr install tcolorbox

akurniawan

import itertools
import torch
from torchtext.experimental.datasets.translation import DATASETS, TranslationDataset
from torchtext.vocab import build_vocab_from_iterator
from torchtext.experimental.functional import (
    vocab_func,
    totensor,
    sequential_transforms,
)
from torchtext.data.utils import get_tokenizer

HarshTrivedi

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

gatopeich

pkg upgrade
# Install runtime deps
pkg install python libzmq libcrypt

# Add build deps
pkg install python-dev libzmq-dev libcrypt-dev clang  
pip3 install -U pip
pip3 install pyzmq --install-option="--zmq=/usr/lib"
pip3 install jupyter

chenhunghan

reMarkable is a paper tablet by https://remarkable.com/.

The reMarkable tablet is the best e-paper in the market. However, it does not have built-in support for CJK (Chiniese, Korean and Japanese) users.

Luckily, this could be resolved by installing CJK fonts on the tablet.

1. Go to Preference > Storage > Enable USB web interface (Beta).
2. Connect reMarkable with your PC via a microUSB cable.
3. SSH to the device as user "root" using the password find in Preference > About. e.g. ssh root@10.11.99.1
4. Download "NotoSansCJK[you language]-Regular.otf" from *note, there is limited space on the device, so do not sue "Super OpenType/CFF Collection (Super OTC)", an language-specific OTC is ok.

gdurastanti

#!/bin/sh
# Reset Parallels Desktop's trial and generate a casual email address to register a new user
rm /private/var/root/Library/Preferences/com.parallels.desktop.plist /Library/Preferences/Parallels/licenses.xml
jot -w pdu%d@gmail.com -r 1

omz

# coding: utf-8
from objc_util import * 
import threading

NSBundle = ObjCClass('NSBundle')
LocalAuthentication = NSBundle.bundleWithPath_('/System/Library/Frameworks/LocalAuthentication.framework')
LocalAuthentication.load()
LAContext = ObjCClass('LAContext')

# authenticate() will raise one of these exceptions when authentication