Discover gists

Deploying `mwan3` with IPv6 (using NAT6)

I'm a user of mwan3 and contribute to its development in a small way by mainly providing feedback with my multi WAN setup and maintaining the beast of it's documentation on the OpenWrt wiki (feedback and contributors welcome).

This setup ultimately requires the use of a NAT6 firewall script. NAT6 is currently broke with fw3 and LuCI, so this is an important helper script to workaround this current limitation.

The NAT6 configuration requirements are explained in more detail on the OpenWrt wiki.

This gist is aims to document my configuration for others.

Encoding high-quality HEVC content with FFmpeg - based NVENC encoder on supported hardware:

If you've built ffmpeg as instructed here on Linux and the ffmpeg binary is in your path, you can do fast HEVC encodes as shown below, using NVIDIA's NPP's libraries to vastly speed up the process.

Now, to do a simple NVENC encode in 1080p, (that will even work for Maxwell Gen 2 (GM200x) series), start with:

ffmpeg  -i <inputfile>  \
-filter:v hwupload_cuda,scale_npp=w=1920:h=1080:format=nv12:interp_algo=lanczos,hwdownload \

-c:v hevc_nvenc -profile main -preset slow -rc vbr_hq \

Pure ESM package

The package that linked you here is now pure ESM. It cannot be require()'d from CommonJS.

This means you have the following choices:

Use ESM yourself. (preferred)
Use import foo from 'foo' instead of const foo = require('foo') to import the package. You also need to put "type": "module" in your package.json and more. Follow the below guide.
If the package is used in an async context, you could use await import(…) from CommonJS instead of require(…).
Stay on the existing version of the package until you can move to ESM.

	docker system prune
	docker container prune
	docker rm -f `docker ps -a -q`
	docker image prune
	docker rmi $(docker images -a -q)
	docker volume prune
	docker network prune

	@echo off
	title Microsoft Office 2019 versions are supported!&cls&echo
	============================================================================&echo
	#Project: Activating Microsoft software products for FREE without software&echo
	============================================================================&echo.&echo
	#Supported products:&echo - Microsoft Office Standard 2019&echo - Microsoft Office Professional Plus 2019&echo.&echo.&(if exist
	"%ProgramFiles%\Microsoft Office\Office16\ospp.vbs" cd /d "%ProgramFiles%\Microsoft Office\Office16")&(if exist
	"%ProgramFiles(x86)%\Microsoft Office\Office16\ospp.vbs" cd /d "%ProgramFiles(x86)%\Microsoft Office\Office16")&(for /f %%x in ('dir /b
	..\root\Licenses16\ProPlus2019VL*.xrm-ms') do cscript ospp.vbs /inslic:"..\root\Licenses16\%%x" >nul)&(for /f %%x in ('dir /b
	..\root\Licenses16\ProPlus2019VL*.xrm-ms') do cscript ospp.vbs /inslic:"..\root\Licenses16\%%x" >nul)&echo.&echo

	i386 : iPhone Simulator
	x86_64 : iPhone Simulator
	arm64 : iPhone Simulator
	iPhone1,1 : iPhone
	iPhone1,2 : iPhone 3G
	iPhone2,1 : iPhone 3GS
	iPhone3,1 : iPhone 4
	iPhone3,2 : iPhone 4 GSM Rev A
	iPhone3,3 : iPhone 4 CDMA
	iPhone4,1 : iPhone 4S

	evdev:input:bv0B05p193Ee0111
	KEYBOARD_KEY_10081=reserved
	KEYBOARD_KEY_10082=reserved
	KEYBOARD_KEY_70070=reserved
	KEYBOARD_KEY_70071=reserved
	KEYBOARD_KEY_70072=reserved
	KEYBOARD_KEY_70073=reserved
	KEYBOARD_KEY_70074=reserved
	KEYBOARD_KEY_70075=reserved
	KEYBOARD_KEY_70076=reserved

	<?php
	/**
	* Detect if a WordPress plugin is active
	* A function you can use to check if plugin is active/loaded for your plugins/themes
	* @link //gist.github.com/llgruff/c5666bfeded5de69b1aa424aa80cc14f
	*/

	// When coding plugins that rely on another one, like Private Content for bbPress or Visual Attributes for WooCommerce, you need to make if the WordPress Plugin is active to initialize your plugin routines or display a notice saying that the required plugin must be activated. In this tutorial we’ll see how to detect whether a certain plugin is active in a couple of ways.

	## 1. Check whether a certain class or function or constant exists

	import argparse
	import numpy as np
	import torch
	import torch.nn as nn
	import coremltools as ct
	from transformers import AutoTokenizer, AutoModelForCausalLM

	# When using float16, all predicted logits are 0. To be debugged.
	compute_precision = ct.precision.FLOAT32
	compute_units = ct.ComputeUnit.CPU_ONLY

	// GLFW and OpenGL example with very verbose comments and links to documentation for learning
	// By Soren Saket

	// semi-colons ; are not requied in odin
	//

	// Every Odin script belongs to a package
	// Define the package with the package [packageName] statement
	// The main package name is reserved for the program entry point package
	// You cannot have two different packages in the same directory

Discover gists

Deploying mwan3 with IPv6 (using NAT6)

Encoding high-quality HEVC content with FFmpeg - based NVENC encoder on supported hardware:

Pure ESM package

Deploying `mwan3` with IPv6 (using NAT6)