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random/test/test_comp_xoshiro256pp.cpp
2025-01-30 12:49:33 -05:00

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/*
* Copyright Matt Borland 2025.
* Distributed under the Boost Software License, Version 1.0. (See
* accompanying file LICENSE_1_0.txt or copy at
* http://www.boost.org/LICENSE_1_0.txt)
*
* This file copies and pastes the original code for comparison under the following license
*
* Written in 2019 by David Blackman and Sebastiano Vigna (vigna@acm.org)
*
* To the extent possible under law, the author has dedicated all copyright
* and related and neighboring rights to this software to the public domain
* worldwide.
*
* Permission to use, copy, modify, and/or distribute this software for any
* purpose with or without fee is hereby granted.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
* IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
#include <boost/random/xoshiro.hpp>
#include <boost/random/splitmix64.hpp>
#include <boost/core/lightweight_test.hpp>
#include <cstdint>
using std::uint64_t;
/* This is xoshiro256++ 1.0, one of our all-purpose, rock-solid generators.
It has excellent (sub-ns) speed, a state (256 bits) that is large
enough for any parallel application, and it passes all tests we are
aware of.
For generating just floating-point numbers, xoshiro256+ is even faster.
The state must be seeded so that it is not everywhere zero. If you have
a 64-bit seed, we suggest to seed a splitmix64 generator and use its
output to fill s. */
static inline uint64_t rotl(const uint64_t x, int k) {
return (x << k) | (x >> (64 - k));
}
static uint64_t s[4];
uint64_t next(void) {
const uint64_t result = rotl(s[0] + s[3], 23) + s[0];
const uint64_t t = s[1] << 17;
s[2] ^= s[0];
s[3] ^= s[1];
s[1] ^= s[2];
s[0] ^= s[3];
s[2] ^= t;
s[3] = rotl(s[3], 45);
return result;
}
/* This is the jump function for the generator. It is equivalent
to 2^128 calls to next(); it can be used to generate 2^128
non-overlapping subsequences for parallel computations. */
void jump(void) {
static const uint64_t JUMP[] = { 0x180ec6d33cfd0aba, 0xd5a61266f0c9392c, 0xa9582618e03fc9aa, 0x39abdc4529b1661c };
uint64_t s0 = 0;
uint64_t s1 = 0;
uint64_t s2 = 0;
uint64_t s3 = 0;
for(std::size_t i = 0; i < sizeof JUMP / sizeof *JUMP; i++)
for(int b = 0; b < 64; b++) {
if (JUMP[i] & UINT64_C(1) << b) {
s0 ^= s[0];
s1 ^= s[1];
s2 ^= s[2];
s3 ^= s[3];
}
next();
}
s[0] = s0;
s[1] = s1;
s[2] = s2;
s[3] = s3;
}
/* This is the long-jump function for the generator. It is equivalent to
2^192 calls to next(); it can be used to generate 2^64 starting points,
from each of which jump() will generate 2^64 non-overlapping
subsequences for parallel distributed computations. */
void long_jump(void) {
static const uint64_t LONG_JUMP[] = { 0x76e15d3efefdcbbf, 0xc5004e441c522fb3, 0x77710069854ee241, 0x39109bb02acbe635 };
uint64_t s0 = 0;
uint64_t s1 = 0;
uint64_t s2 = 0;
uint64_t s3 = 0;
for(std::size_t i = 0; i < sizeof LONG_JUMP / sizeof *LONG_JUMP; i++)
for(int b = 0; b < 64; b++) {
if (LONG_JUMP[i] & UINT64_C(1) << b) {
s0 ^= s[0];
s1 ^= s[1];
s2 ^= s[2];
s3 ^= s[3];
}
next();
}
s[0] = s0;
s[1] = s1;
s[2] = s2;
s[3] = s3;
}
void test_no_seed()
{
// Default initialized to contain splitmix64 values
boost::random::xoshiro256pp boost_rng;
for (int i {}; i < 10000; ++i)
{
boost_rng();
}
boost::random::splitmix64 gen;
for (auto& i : s)
{
i = gen();
}
for (int i {}; i < 10000; ++i)
{
next();
}
const auto final_state = boost_rng.state();
for (std::size_t i {}; i < final_state.size(); ++i)
{
BOOST_TEST_EQ(final_state[i], s[i]);
}
}
void test_basic_seed()
{
// Default initialized to contain splitmix64 values
boost::random::xoshiro256pp boost_rng(42ULL);
for (int i {}; i < 10000; ++i)
{
boost_rng();
}
boost::random::splitmix64 gen(42ULL);
for (auto& i : s)
{
i = gen();
}
for (int i {}; i < 10000; ++i)
{
next();
}
const auto final_state = boost_rng.state();
for (std::size_t i {}; i < final_state.size(); ++i)
{
BOOST_TEST_EQ(final_state[i], s[i]);
}
}
void test_jump()
{
// Default initialized to contain splitmix64 values
boost::random::xoshiro256pp boost_rng;
for (int i {}; i < 10000; ++i)
{
boost_rng();
}
boost::random::splitmix64 gen;
for (auto& i : s)
{
i = gen();
}
for (int i {}; i < 10000; ++i)
{
next();
}
boost_rng.jump();
jump();
const auto final_state = boost_rng.state();
for (std::size_t i {}; i < final_state.size(); ++i)
{
BOOST_TEST_EQ(final_state[i], s[i]);
}
}
void test_long_jump()
{
// Default initialized to contain splitmix64 values
boost::random::xoshiro256pp boost_rng;
for (int i {}; i < 10000; ++i)
{
boost_rng();
}
boost::random::splitmix64 gen;
for (auto& i : s)
{
i = gen();
}
for (int i {}; i < 10000; ++i)
{
next();
}
boost_rng.long_jump();
long_jump();
const auto final_state = boost_rng.state();
for (std::size_t i {}; i < final_state.size(); ++i)
{
BOOST_TEST_EQ(final_state[i], s[i]);
}
}
int main()
{
test_no_seed();
test_basic_seed();
test_jump();
test_long_jump();
return boost::report_errors();
}