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lgg
/ run_letsencrypt
Created
January 10, 2016 05:16
Let's encrypt auto authenticator runner for multiply domains
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| #!/bin/bash | |
| #Vars | |
| web_service='nginx' | |
| config_path='/usr/local/letssl/' | |
| le_path='/opt/letsencrypt' | |
| exp_limit=20; | |
| #Func | |
| function check_ssl { |
lgg
/ js-function arguments-parse.js
Created
November 29, 2019 18:35
JS Function arguments parsing visual explaination
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| //JS Function arguments parsing visual explaination | |
| let i = { | |
| p0: 0, | |
| p1: 0, | |
| p2: 0, | |
| p3: 0, | |
| pa: 0 | |
| }; |
lgg
/ README.md
Created
July 10, 2016 01:32
— forked from coolaj86/README.md
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| clickerActivated = false; | |
| function autoClicker(e) { | |
| try { | |
| if (e.currentTarget.children[0].classList.contains('tableBorder')) { | |
| if (window.getComputedStyle(document.getElementById('table').children[0], null)['border-color'] === "rgb(255, 230, 130)") { | |
| document.getElementById('playerButtonHost').children[0].click(); | |
| console.log('CLICKED') |
Check this issue: apache/mxnet#19992
I can successfully compile from master branch, but it provides mxnet==2.0.0
I want 1.8.x or 1.x mxnet version with CUDA 11.2 support
If you get the error "mi home failed to initialize device (3) " in your MiHome app (for me it was on iOS):
Steps to fix (hope one of this step will help you):
- check if you have a connection to the Internet (try to open any page in the browser)
- check if you have NO problems with available memory space on your device (for me deleting few apps and emptying ~250mb instead of 14mb helped to solve the issue)
- try to reinstall the app
- try to reboot the GateWay
- check that the device is running (reset power on it = reboot)
- try to ask for help on MiHome Forum
- Что будет, если оставить/припарковать/завершить аренду обычного велосипеда на электростоянке / в электропорту / электропарковке?
- Что будет, если оставить/припарковать/завершить аренду электровелосипеда / электробайка на обычной стоянке / в обычном порту?
За это будет предположен штраф в размере 1 000 (одна тысячи) рублей, но его необязательно выпишут. Поступайте на свой страх и риск.
you will need:
- nvidia driver
- CUDA
- https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=20.04&target_type=runfile_local
- https://developer.nvidia.com/cuda-11.3.0-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=20.04&target_type=runfile_local
- check version here: https://www.nvidia.com/Download/index.aspx?lang=en-us
- nvidia-docker
tags: Save/download/get/parse SVG image from HTML5 html web js javascript canvas
example websites: https://www.vectorizer.io/
Insert this code to JavaScript console:
var svgData = $("#outputsvg")[0].outerHTML;
var svgBlob = new Blob([svgData], {type:"image/svg+xml;charset=utf-8"});