rudolfbyker

Remove drivers newer than a certain date

See remove-drivers.py

Add drivers from a folder

pnputil /add-driver C:\users\dolf\desktop\pre-2023-drivers\*.inf /subdirs /install /reboot

rudolfbyker

import multiprocessing
from logging import LogRecord, getLogger, Logger, DEBUG
from logging.handlers import QueueHandler
from queue import Queue
from typing import Optional, TypedDict, List

from .log_combiner import log_combiner_thread

logger = getLogger(__name__)

rudolfbyker

Backup and restore ZFS PVCs on Kubernetes

Dump all ZFS PVCs to files:

for name in $(zfs list -H -o name | grep pvc); do zfs snapshot $name@snap1; zfs send $name@snap1 | pv | gzip > ${name##*/}.gz; done

Restore a ZFS dataset from a file:

rudolfbyker

Hosting Unturned on Kubernetes

Helm chart

rudolfbyker

dvdauthor -t -o author walle_remuxed_3.mpg
export VIDEO_FORMAT=NTSC
dvdauthor -T -o author

rudolfbyker

Using SAA713x TV Card on Debian

Useful links

• https://askubuntu.com/questions/348838/how-to-check-available-webcams-from-the-command-line
• https://www.linuxtv.org/wiki/index.php/Saa7134-alsa
• https://www.linuxtv.org/wiki/index.php/Philips_SAA7134
• https://www.linuxtv.org/wiki/index.php/Saa713x_devices
• https://www.linuxtv.org/wiki/index.php/Saa713x_devices:_Generic_SAA7134_Card_Installation
• https://trac.ffmpeg.org/wiki/Capture/ALSA

rudolfbyker

from __future__ import annotations
from typing import Generator, TypedDict
from subprocess import run, CalledProcessError
import re
import logging
from datetime import date, datetime
import click
import yaml

logger = logging.getLogger(__name__)

rudolfbyker

#!/bin/bash

set -eu

DEVICE="$1"  # e.g.: /dev/ttyUSB0
BAUD_RATE="$2"  # e.g.: 115200
OUTPUT_FILE="$3"  # e.g.: uart.txt

echo "Waiting for $DEVICE to become available ..."
while true

rudolfbyker

#!/usr/bin/env bash
# Delete old recordings.

DIR="$HOME/rec"
EXPIRE=7
find $DIR -mtime +$EXPIRE -type f -delete

rudolfbyker

import numpy as np

def find_silences_of_minimum_length(data: np.array, min_length: int) -> Generator[Tuple[int, int], None, None]:
    """
    Get a (start, stop) tuple for each detected silence of minimum length.

    The start is inclusive, and the stop is exclusive, to match Python's list slicing.

    >>> list(find_silences_of_minimum_length([1,0,1], 1))
    [(1, 2)]