urasandesu

# 
# File: Get-HelpByMarkdown.ps1
# 
# Author: Akira Sugiura ([email protected])
# 
# 
# Copyright (c) 2014 Akira Sugiura
#  
#  This software is MIT License.
#  

corny

#!/bin/bash -e
#
# Improved backup script for Ubiquiti UniFi controller
# original source: http://wiki.ubnt.com/UniFi#Automated_Backup
#

# must contain:
# username=<username>
# password=<password>
source ~/.unifi-backup

shadone

#!/bin/bash

INFLUXDB_HOST="localhost"
INFLUXDB_PORT="8086"
DATABASE="home"

[ -f /etc/default/speedtest_tester ] && . /etc/default/speedtest_tester

while [[ $# > 0 ]]; do
    key="$1"

Desani

This script utilizes ffmpeg, the same tool Plex uses, to decode the video stream and captures the output for any errors during playback and sends the playback errors to a log file. So essentially it plays the video in the background faster than regular speed. It then checks the error output log file to see if there is anything inside. If ffmpeg was able to cleanly play the file, it counts as a passed file. If there is any error output, an error could be anything from a container issue, a missed frame issue, media corruption or more, it counts the file as failed. So if there would be an issue with playback and a video freezing, it would be caught by this method of checking for errors. Because of the nature of the error log, any errors that show up, even simple ones, will all count as a fail and the output is captured so you can view the error log. Some simple errors are easy to fix so I have included an auto-repair feature which attempts to re-encode the file which is able to correct some issues that would cau

archmangler

Overview
========

This is a set of notes I kept resulting in development of a terraform module wrapper to configure windows DNS.

(Original gist location: https://gist.github.com/1de3be6a95400bce427008e04e53e26f)


Objective:
=========

howellcc

#!/bin/bash

#https://gist.github.com/howellcc/70f5c45a9902f9a3fe4e566ceedf1bca 
#This is a backup script that I'm running on my Synology NAS to back up my Hubitat Elevation. 

he_login=[Hubitat Username]
he_passwd=[Hubitat Password]
he_ipaddr=[Hubitat IP Address]
backupdir='[Backup Location]' #no trailing space
hubname='Hubitat' #in case you have multiple hubs

krzys-h

Ubuntu 21.04 VM with GPU acceleration under Hyper-V...?

Modern versions of Windows support GPU paravirtualization in Hyper-V with normal consumer graphics cards. This is used e.g. for graphics acceleration in Windows Sandbox, as well as WSLg. In some cases, it may be useful to create a normal VM with GPU acceleration using this feature, but this is not officially supported. People already figured out how to do it with Windows guests though, so why not do the same with Linux? It should be easy given that WSLg is open source and reasonably well documented, right?

Well... not quite. I managed to get it to run... but not well.

How to do it?

1. Verify driver support

quonic

#Requires -Version 5
# License: MIT

class PID {
    # Adapted to PowerShell from: https://github.com/tommallama/CSharp-PID/blob/master/PID_Controller/PID.cs

    #region Public Variables

    # Upper output limit of the controller.
    # This should obviously be a numerically greater value than the lower output limit.

gagarine

Reverse Mouse Wheel scroll in Windows 11

Chose between natural mode like MacOS or Windows default mode.

Step 1: Open Windows PowerShell in Administrator Mode.

You can do this by going to Start Menu, type PowerShell, and click Run as Administrator.

Step 2: Copy the following code and paste it in the command line of Windows PowerShell:

$mode = Read-host "How do you like your mouse scroll (0 or 1)?"; Get-PnpDevice -Class Mouse -PresentOnly -Status OK | ForEach-Object { "$($_.Name): $($_.DeviceID)"; Set-ItemProperty -Path "HKLM:\SYSTEM\CurrentControlSet\Enum\$($_.DeviceID)\Device Parameters" -Name FlipFlopWheel -Value $mode; "+--- Value of FlipFlopWheel is set to " + (Get-ItemProperty -Path "HKLM:\SYSTEM\CurrentControlSet\Enum\$($_.DeviceID)\Device Parameters").FlipFlopWheel + "`n" }

dgrnbrg

tracker_test:
  class: IrkTracker
  module: irk_tracker
  training_input_text: input_text.irk_tag
  data_loc: tracker_logs/
  rows_per_flush: 100