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Lucas Marcondes lmarcondes

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# Nvidia Container Device Interface debugging
#
# Test device interface
docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
# Should return something like
# Mon Oct 13 12:42:00 2025
# +-----------------------------------------------------------------------------------------+
# | NVIDIA-SMI 580.82.09 Driver Version: 580.82.09 CUDA Version: 13.0 |
# +-----------------------------------------+------------------------+----------------------+
# | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
makepkg --printsrcinfo > .SRCINFO
#!/usr/bin/env sh
openssl aes-128-cbc -d \
-K babb4a9f774ab853c96c2d653dfe544a \
-iv 00000000000000000000000000000000 \
-in $1 | \
dd bs=1 skip=16 2>/dev/null
docker run \
-d --network host \
-e HTTP_PORT=9000 \
--name zoonavigator \
--restart unless-stopped \
elkozmon/zoonavigator:latest
import boto3
from argparse import ArgumentParser
def delete_objects(bucket):
bucket.objects.all().delete()
def delete_bucket(bucket):
try:
#!/bin/usr/env bash
## Source: https://tizutech.com/plex-transcoding-with-docker-nvidia-gpu/
## Setting up the package repository
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
mdadm --add /<dev>
mdadm --grow --raid-devices=n <raid-device>
# Growpart will make the partition occuppy all the space
# on the device. This is very fast in XFS or RAID
growpart <partition>
# xfs_growfs will grow the filesystem to the max partition size
xfs_growfs -d <mountpoint>
export DIR=-dsajn
export DIR2=$(echo $DIR | sed 's/[^a-zA-Z0-9]//g')
magick image.png -alpha off -resize 256x256 \
-define icon:auto-resize="256,128,96,64,48,32,16" \
favicon.ico
#!/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