Splittable_randomSourceA splittable pseudo-random number generator (SPRNG) functions like a PRNG in that it can be used as a stream of random values; it can also be "split" to produce a second, independent stream of random values.
This module implements a splittable pseudo-random number generator that sacrifices cryptographic-quality randomness in favor of performance.
The primary difference between Splittable_random and Random is the State.split operation for generating new pseudo-random states. While it is easy to simulate State.split using Random, the result has undesirable statistical properties; the new state does not behave independently of the original. It is better to switch to Splittable_random if you need an operation like State.split, as this module has been implemented with the statistical properties of splitting in mind. For most other purposes, Random is likely a better choice, as its implementation passes all Diehard tests, while Splittable_random fails some Diehard tests.
Produce a random number uniformly distributed in the given inclusive range. (In the case of float, hi may or may not be attainable, depending on rounding.)
unit_float state = float state ~lo:0. ~hi:1., but slightly more efficient (and right endpoint is exclusive).