Ryan Huth hu-ry

Installing boost on Windows using MinGW-w64 (gcc 64-bit)

Introduction

Boost is easy when you are using headers or pre-compiled binaries for visual studio, but it can be a pain to compile from source on windows, especially when you want the 64-bit version of MinGW to use gcc/g++. This installation process should be thorough enough to simply copy and paste commands, but robust enough to install everything you need.

Note: if you need to install any of the libraries that need dependencies, see this great answer from stack overflow

Get files needed for install

Get the MinGW installer mingw-w64-install.exe from Sourceforge
Get the boost_1_68_0.zip source from Sourceforge
__Note: This should work perfectly w

Two Fast Methods of Generating True Random Numbers on the Arduino

Arduino true random number generator

B. Peng

December 2017

Abstract

The AVR series microcontrollers are a collection of cheap and versatile chips that are used in many applications ranging from hobbist projects to commercial infrastructure. One major problem for some hobbists is the lack of secure random number generation on the Arduino platform. The included pseudo-random number generator (PRNG) is very easy to defeat and is useless for any crypto-related uses. One recommendation from the Arduino Reference Manual is to use atmospheric noise from the chip's analog sensor pins as seed data^[6].
Unfortunately this method is extremely weak and should not be used to emulate a true random number generator (TRNG). Existing methods such as using the internal timer drift or using a dedicated generator are either too slow, requires extensive external hardware or modifications to the microcontroller's internal mech

	import time
	import psutil
	import multiprocessing as mp
	from multiprocessing import Process

	def f(thread, duty, freq, q):
	p = psutil.Process()
	p.cpu_affinity([thread])

	while True: