pcg

8.12

pcg🔗ℹ

kefin

package: pcg

Permuted congruential generators (PCG) are a class of pseudo-random number generators (PRNGs) that provide high statistical quality whilst being fast, simple, and memory-efficient.

> (require pcg)
> (define state (pcg 3912))
> (pcg-view state)
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procedure
(pcg state) → natural?
state : natural?

Advances the state by 1 iteration. Note that you should not use the return value directly in your program, instead, one must filter this value through pcg-view in order to get the statistical properties associated with PCG, otherwise the randomness is in accordance with an linear congruential generator (LCG).

This step uses the 64-bit LCG.

procedure
(pcg-view state) → natural?
state : natural?

Transform the state into its view. The view is PCG-XSG-RR.

procedure
(pcg-decide state) → bool?
state : natural?

Transform the state into a boolean value. Uses pcg-view and masks all but one bit.

> (require pcg)
> (define state (pcg 3912))
> (pcg-decide state)
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