Federico Galatolo galatolofederico

https://stackoverflow.com/questions/6565357/git-push-requires-username-and-password

A common mistake is cloning using the default (HTTPS) instead of SSH. You can correct this by going to your repository, clicking the ssh button left to the URL field and updating the URL of your origin remote like this:

git remote set-url origin git@github.com:username/repo.git

See http://stackoverflow.com/questions/7773181/git-keeps-prompting-me-for-password, make sure you are cloning your repos using ssh:

ssh://git@github.com/username/repo.git

How to use

Login to https://web.telegram.org
Copy-paste contents of telegram-scripts.js into JS console
Run showContacts() to get the list of contacts with ids
Run saveChat(userId) where userId is the id from step 3

Process can take a while, check console for progress. Occasionall FLOOD_WAIT errors are expected. Once done, browser will download the JSON file.

Motivation

Sample config for 2 million web socket connection

    sysctl -w fs.file-max=12000500
    sysctl -w fs.nr_open=20000500
    # Set the maximum number of open file descriptors
    ulimit -n 20000000

    # Set the memory size for TCP with minimum, default and maximum thresholds 
 sysctl -w net.ipv4.tcp_mem='10000000 10000000 10000000'

Raspberry Pi VPN Router

This is a quick-and-dirty guide to setting up a Raspberry Pi as a "router on a stick" to PrivateInternetAccess VPN.

Requirements

Install Raspbian Jessie (2016-05-27-raspbian-jessie.img) to your Pi's sdcard.

Use the Raspberry Pi Configuration tool or sudo raspi-config to:

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

	"""Simple example on how to log scalars and images to tensorboard without tensor ops.

	License: BSD License 2.0
	"""
	__author__ = "Michael Gygli"

	import tensorflow as tf
	from StringIO import StringIO
	import matplotlib.pyplot as plt
	import numpy as np