mRB0

#!/usr/bin/env python

import sys
import os
import subprocess
import re
from StringIO import StringIO

# usage:
#

braian87b

# ========================================================
# Setup a Dumb AP, Wired backbone for OpenWRT / LEDE
# ========================================================
# Set lan logical interface as bridge (to allow bridge multiple physical interfaces)
uci set network.lan.type='bridge'
# assign WAN physical interface to LAN (will be available as an additional LAN port now)
uci set network.lan.ifname="$(uci get network.lan.ifname) $(uci get network.wan.ifname)"
uci del network.wan.ifname
# Remove wan logical interface, since we will not need it.
uci del network.wan

kowalcj0

# 1 - Create a jail called `convert` using `pluginjail-10.3` template

# 2 - list all jails
jls
 JID  IP Address      Hostname                      Path
   1  -               convert                       /mnt/volume/jails/convert

# 3 - connect to our jail
jexec 1 sh

0Camus0

#include <video/GLDriver.h>
#include <core/LinuxFramework.h>
#include <stdio.h>

#include <sys/time.h>
extern int g_AvoidInput;
extern std::vector<std::string> g_args;
namespace t800 {
#ifdef USING_WAYLAND_NATIVE
struct wl_compositor    *wlnd_compositor = 0;

calvinbui

"""
FreeNAS Replication status
"""
import os
import time
import sys
from datetime import datetime, timedelta

def bytes_to_gb(filesize):
    return filesize / 1024 / 1024 / 1024

Venemo

Building and using mesa for development and testing

This explains how to build mesa from source, and how to use the custom built mesa to run some apps and games, without needing to replace the mesa libraries that your operating system runs on.

Let's assume that you are using an x86_64 system.

Building mesa

Overview

Hritik14

#!/bin/bash
# (C) Hritik Vijay
# License: GPLv2
# Suppliment to https://m47r1x.github.io/posts/multi-net/

tmp=$(mktemp multi-net-ip-XXXX --tmpdir)
TIMEOUT=5
Table=200

_ping(){

estelsmith

Gemini Lake Hardware-accelerated Transcoding

This is for a used Wyse 5070 I recently purchased, having the J5005 CPU and a huge 8 GB RAM all running on AlmaLinux 9.1. Why AlmaLinux? Because I'm partial to RHEL-based systems with its focus on stability, that's all. Unfortunately the downside is that oftentimes new software isn't readily available.

I want to unlock the ability to perform hardware-accelerated transcoding in ffmpeg so I can use it in Tdarr as a decent remote transcoding node.

Intel ARK - Pentium Silver J5005 shows that the CPU has Quick Sync Video support, and as such supports some form of hardware video acceleration.

The CPU is Gemini Lake and uses Intel UHD Graphics 605, which is Gen 9.5 according to the ffmpeg wiki. The machine should be able

Raimo33

C Speed Optimization Checklist

This is a list of general-purpose optimizations for C programs, from the most impactful to the tiniest low-level micro-optimizations to squeeze out every last bit of performance. It is meant to be read top-down as a checklist, with each item being a potential optimization to consider. Everything is in order of speed gain.

Algorithm && Data Structures

Choose the best algorithm and data structure for the problem at hand by evaluating:

1. time complexity

jwbee

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is