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makepkg --printsrcinfo > .SRCINFO

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#!/usr/bin/env sh
openssl aes-128-cbc -d \
  -K babb4a9f774ab853c96c2d653dfe544a \
  -iv 00000000000000000000000000000000 \
  -in $1 | \
  dd bs=1 skip=16 2>/dev/null

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docker run \
  -d --network host \
  -e HTTP_PORT=9000 \
  --name zoonavigator \
  --restart unless-stopped \
  elkozmon/zoonavigator:latest

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import boto3
from argparse import ArgumentParser


def delete_objects(bucket):
    bucket.objects.all().delete()


def delete_bucket(bucket):
    try:

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#!/bin/usr/env bash
## Source: https://tizutech.com/plex-transcoding-with-docker-nvidia-gpu/

## Setting up the package repository

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
  && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
    sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
    sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

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mdadm --add /<dev>
mdadm --grow --raid-devices=n <raid-device>
# Growpart will make the partition occuppy all the space
# on the device. This is very fast in XFS or RAID
growpart <partition>
# xfs_growfs will grow the filesystem to the max partition size
xfs_growfs -d <mountpoint>

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export DIR=-dsajn
export DIR2=$(echo $DIR | sed 's/[^a-zA-Z0-9]//g')

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  magick image.png -alpha off -resize 256x256 \
          -define icon:auto-resize="256,128,96,64,48,32,16" \
          favicon.ico

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#!/bin/env python

from datetime import datetime
from openai import OpenAI
from argparse import ArgumentParser
import json
from pathlib import Path
from base64 import b64decode
from openai.types.image import Image
import requests

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import json
from typing import List


def run(args: List[str]):
    filename = args[0]
    with open(filename, "r") as f:
        data = json.loads(f.read())

    original_entries = data['items']