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.. index:: single: fast_random(Algorithm)
.. _fast_random/1:
.. rst-class:: right
object
fast_random(Algorithm)Algorithm - Random number generator algorithm. One of as183, splitmix64, xoshiro128pp, xoshiro128ss, xoshiro256pp, xoshiro256ss, well512a.
Fast portable random number generator predicates.
| Availability:
| logtalk_load(random(loader))
| Author: Paulo Moura | Version: 3:0:0 | Date: 2026-02-23
| Compilation flags:
| static, context_switching_calls
| Implements:
| public :ref:`pseudo_random_protocol <pseudo_random_protocol/0>`
| public :ref:`sampling_protocol <sampling_protocol/0>`
| Uses:
| :ref:`list <list/0>`
| Remarks:
random library object but does not support being extended to define multiple random number generators.as183: Algorithm AS 183 from Applied Statistics. 32-bit PRNG with period 2^60. Not cryptographically secure.xoshiro128pp: Xoshiro128++ random number generator. 32-bit state-of-the-art PRNG with period 2^128-1. Algorithm by David Blackman and Sebastiano Vigna.xoshiro128ss: Xoshiro128** random number generator. 32-bit PRNG with period 2^128-1. Algorithm by David Blackman and Sebastiano Vigna.xoshiro256pp: Xoshiro256++ random number generator. 64-bit state-of-the-art PRNG with period 2^256-1. Algorithm by David Blackman and Sebastiano Vigna.xoshiro256ss: Xoshiro256** random number generator. 64-bit PRNG with period 2^256-1. Algorithm by David Blackman and Sebastiano Vigna.splitmix64: SplitMix64 random number generator. 64-bit PRNG primarily used for seeding other generators. Algorithm by Guy L. Steele Jr. et al.well512a: WELL512a 16x32-bit state-of-the-art PRNG with period 2^512-1. Algorithm by by François Panneton, Pierre L'Ecuyer, and Makoto Matsumoto.| Inherited public predicates: |  :ref:`sampling_protocol/0::bernoulli/2`  :ref:`sampling_protocol/0::beta/3`  :ref:`random_protocol/0::between/3`  :ref:`sampling_protocol/0::binomial/3`  :ref:`sampling_protocol/0::chi_squared/2`  :ref:`sampling_protocol/0::circular_uniform_cartesian/3`  :ref:`sampling_protocol/0::circular_uniform_polar/3`  :ref:`sampling_protocol/0::dirichlet/2`  :ref:`random_protocol/0::enumerate/2`  :ref:`sampling_protocol/0::exponential/2`  :ref:`sampling_protocol/0::fisher/3`  :ref:`sampling_protocol/0::gamma/3`  :ref:`sampling_protocol/0::geometric/2`  :ref:`pseudo_random_protocol/0::get_seed/1`  :ref:`sampling_protocol/0::gumbel/3`  :ref:`sampling_protocol/0::hypergeometric/4`  :ref:`sampling_protocol/0::logistic/3`  :ref:`sampling_protocol/0::lognormal/3`  :ref:`sampling_protocol/0::logseries/2`  :ref:`random_protocol/0::maybe/0`  :ref:`random_protocol/0::maybe/1`  :ref:`random_protocol/0::maybe/2`  :ref:`random_protocol/0::maybe_call/1`  :ref:`random_protocol/0::maybe_call/2`  :ref:`random_protocol/0::member/2`  :ref:`sampling_protocol/0::normal/3`  :ref:`random_protocol/0::permutation/2`  :ref:`sampling_protocol/0::poisson/2`  :ref:`sampling_protocol/0::power/2`  :ref:`random_protocol/0::random/1`  :ref:`random_protocol/0::random/3`  :ref:`random_protocol/0::randseq/4`  :ref:`random_protocol/0::randset/4`  :ref:`random_protocol/0::select/3`  :ref:`random_protocol/0::select/4`  :ref:`random_protocol/0::sequence/4`  :ref:`random_protocol/0::set/4`  :ref:`pseudo_random_protocol/0::set_seed/1`  :ref:`sampling_protocol/0::standard_cauchy/3`  :ref:`sampling_protocol/0::standard_exponential/1`  :ref:`sampling_protocol/0::standard_gamma/2`  :ref:`sampling_protocol/0::standard_normal/1`  :ref:`sampling_protocol/0::standard_t/2`  :ref:`random_protocol/0::swap/2`  :ref:`random_protocol/0::swap_consecutive/2`  :ref:`sampling_protocol/0::triangular/4`  :ref:`sampling_protocol/0::uniform/1`  :ref:`sampling_protocol/0::uniform/3`  :ref:`sampling_protocol/0::von_mises/3`  :ref:`sampling_protocol/0::wald/3`  :ref:`sampling_protocol/0::weibull/3` Â
.. contents:: :local: :backlinks: top
.. index:: reset_seed/0 .. _fast_random/1::reset_seed/0:
reset_seed/0 ^^^^^^^^^^^^^^^^
Resets the random generator seed to its default value. Use get_seed/1 and set_seed/1 instead if you need reproducibility.
| Compilation flags:
| static, synchronized
| Mode and number of proofs:
| reset_seed - one
.. index:: randomize/1 .. _fast_random/1::randomize/1:
randomize/1 ^^^^^^^^^^^^^^^
Randomizes the random generator using a positive integer to compute a new seed. Use of a large integer is recommended. In alternative, when using a small integer argument, discard the first dozen random values.
| Compilation flags:
| static, synchronized
| Template:
| randomize(Seed)
| Mode and number of proofs:
| randomize(+positive_integer) - one
(no local declarations; see entity ancestors if any)
.. index:: seed_/2 .. _fast_random/1::seed_/2:
seed_/2
^^^^^^^^^^^
Stores the current random generator seed values (a ground but otherwise opaque term).
| Compilation flags:
| dynamic
| Template:
| seed_(Algorithm,Seed)
| Mode and number of proofs:
| seed_(+atom,-ground) - one
(none)
.. seealso::
:ref:`fast_random <fast_random/0>`, :ref:`random(Algorithm) <random/1>`, :ref:`random <random/0>`, :ref:`backend_random <backend_random/0>`