The Function of a Pseudo Random Number Generator (RNG)

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The punched paper tape is whizzing round really fast, think its 33 mph. The computer compares possible pseudo random numbers with the code I think, in order to get a statistically more likely break

noiseSeedsame code, different noiseSeed each time.noiseSeed(); sets the seed value for noise(). By default, noise() produces different results each time the program is run. Set the seed parameter to a constant to return the same pseudo-random numbers each time the software is run.(code)

noiseSeedsame code, different noiseSeed each time.noiseSeed(); sets the seed value for noise(). By default, noise() produces different results each time the program is run. Set the seed parameter to a constant to return the same pseudo-random numbers each time the software is run.(code)

noiseSeedsame code, different noiseSeed each time.noiseSeed(); sets the seed value for noise(). By default, noise() produces different results each time the program is run. Set the seed parameter to a constant to return the same pseudo-random numbers each time the software is run.(code)

noiseSeedsame code, different noiseSeed each time.noiseSeed(); sets the seed value for noise(). By default, noise() produces different results each time the program is run. Set the seed parameter to a constant to return the same pseudo-random numbers each time the software is run.(code)

It was once thought by mathematicians that prime numbers could never have any application to the real world. As usual, that view has turned out to be quite mistaken—especially since the advent of computers. Today, prime numbers are used in cryptography, hash tables, pseudo-random number generation and distributed computing.

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