Ilya Baryshnikov lucidyan

If you are like me you find yourself cloning a repo, making some proposed changes and then deciding to later contributing back using the GitHub Flow convention. Below is a set of instructions I've developed for myself on how to deal with this scenario and an explanation of why it matters based on jagregory's gist.

To follow GitHub flow you should really have created a fork initially as a public representation of the forked repository and the clone that instead. My understanding is that the typical setup would have your local repository pointing to your fork as origin and the original forked repository as upstream so that you can use these keywords in other git commands.

Clone some repo (you've probably already done this step).
```
git clone [email protected]
```

UPDATED 22.11.2022

It's been two years since the last update, so here's the updated working script as per the comments below.

Thanks to BryanHaley for this.

setInterval(function () {
    video = document.getElementsByTagName('ytd-playlist-video-renderer')[0];

 video.querySelector('#primary button[aria-label="Action menu"]').click();

Нагрузочное тестирование c Yandex.Tank и JMeter

На этой странице описывается процесс настройки нагрузочного тестирования внешних ресурсов.

Кратко

Для тестирования поведения сервиса под нагрузкой используется утилита Yandex Tank.

Танку можно указать патроны (HTTP-запросы, которые будут отправлены на целевой сервер) и расписание (количество запросов в секунду к целевому серверу в каждый момент времени стрельб, а также продолжительность стрельб). Также к танку можно подключить плагин мониторинга, позволяющий снимать показатели (например, количество свободной памяти или загрузку процессора) с целевого сервера.

	// Version 2.0.1
	// This script will remove all videos from watch later list
	//
	// Usage
	//
	// #1 go to https://www.youtube.com/playlist?list=WL
	// #2 run following script in your browser console
	(async function() {

	const playlistName = document.querySelector('.metadata-wrapper #container #text')?.textContent \|\| document.querySelector('#text')?.textContent

	#!/usr/bin/python3

	from time import sleep, time

	import miio
	from prometheus_client import start_http_server, Gauge

	if __name__ == '__main__':
	MONITOR_IP = '192.168.88.100'
	MONITOR_TOKEN = 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa'

	# WARNING: These steps seem to not work anymore!

	#!/bin/bash

	# Purge existign CUDA first
	sudo apt --purge remove "cublas" "cuda"
	sudo apt --purge remove "nvidia*"

	# Install CUDA Toolkit 10
	wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

	from __future__ import print_function

	import numpy as np
	import scipy.linalg
	from scipy.odr import *
	import matplotlib as mpl
	from mpl_toolkits.mplot3d import Axes3D
	from matplotlib import pyplot as plt
	import sys
	import time

	#!/bin/bash

	### steps ####
	# Verify the system has a cuda-capable gpu
	# Download and install the nvidia cuda toolkit and cudnn
	# Setup environmental variables
	# Verify the installation
	###

	### to verify your gpu is cuda enable check

Ilya Baryshnikov lucidyan

Нагрузочное тестирование c Yandex.Tank и JMeter

Кратко

Problem

Solution

The recipe

	"""Information Retrieval metrics

	Useful Resources:
	http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
	http://www.nii.ac.jp/TechReports/05-014E.pdf
	http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
	http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
	Learning to Rank for Information Retrieval (Tie-Yan Liu)
	"""
	import numpy as np