Pseudorandom number generator image: Difference between revisions
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* Linear congruential generator [https://en.wikipedia.org/wiki/Linear_congruential_generator]. |
* Linear congruential generator [https://en.wikipedia.org/wiki/Linear_congruential_generator]. |
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=={{header|Julia}}== |
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Julia uses the Mersenne Twister algorithm for its default rand() function. That algorithm uses |
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over 600 32-bit ints to represent its internal state, rather than just a product of |
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two or three primes. |
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<lang julia>using FileIO, ImageIO |
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save("randombw.png", rand(Float16, 1000, 1000)) |
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</lang> |
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Revision as of 17:52, 27 July 2020
Pseudorandom number generator image is a draft programming task. It is not yet considered ready to be promoted as a complete task, for reasons that should be found in its talk page.
- Task
Write a program that creates an image from an Pseudorandom Number Generator(PRNG) algorithm's output. The image can have the following dimensions:
- 250px by 250px : If the algorithm requires the use of prime numbers, use 8-15 bit primes.
- 500px by 500px : If the algorithm requires the use of prime numbers, use 8-15 bit primes.
- 1000px by 1000px : If the algorithm requires the use of prime numbers, use 8-32 bit primes.
- 1500px by 1500px : If the algorithm requires the use of prime numbers, use 16-64 bit primes.
- Possible Output
- See also
Julia
Julia uses the Mersenne Twister algorithm for its default rand() function. That algorithm uses over 600 32-bit ints to represent its internal state, rather than just a product of two or three primes. <lang julia>using FileIO, ImageIO
save("randombw.png", rand(Float16, 1000, 1000)) </lang>