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random/test/test_comp_xoshiro512pp.cpp
2025-01-30 14:29:44 -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>
#include <cstring>
using std::uint64_t;
using std::memset;
using std::memcpy;
/* This is xoshiro512++ 1.0, one of our all-purpose, rock-solid
generators. It has excellent (about 1ns) speed, a state (512 bits) that
is large enough for any parallel application, and it passes all tests
we are aware of.
For generating just floating-point numbers, xoshiro512+ 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[8];
uint64_t next(void) {
const uint64_t result = rotl(s[0] + s[2], 17) + s[2];
const uint64_t t = s[1] << 11;
s[2] ^= s[0];
s[5] ^= s[1];
s[1] ^= s[2];
s[7] ^= s[3];
s[3] ^= s[4];
s[4] ^= s[5];
s[0] ^= s[6];
s[6] ^= s[7];
s[6] ^= t;
s[7] = rotl(s[7], 21);
return result;
}
/* This is the jump function for the generator. It is equivalent
to 2^256 calls to next(); it can be used to generate 2^256
non-overlapping subsequences for parallel computations. */
void jump(void) {
static const uint64_t JUMP[] = { 0x33ed89b6e7a353f9, 0x760083d7955323be, 0x2837f2fbb5f22fae, 0x4b8c5674d309511c, 0xb11ac47a7ba28c25, 0xf1be7667092bcc1c, 0x53851efdb6df0aaf, 0x1ebbc8b23eaf25db };
uint64_t t[sizeof s / sizeof *s];
memset(t, 0, sizeof t);
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)
for(std::size_t w = 0; w < sizeof s / sizeof *s; w++)
t[w] ^= s[w];
next();
}
memcpy(s, t, sizeof s);
}
/* This is the long-jump function for the generator. It is equivalent to
2^384 calls to next(); it can be used to generate 2^128 starting points,
from each of which jump() will generate 2^128 non-overlapping
subsequences for parallel distributed computations. */
void long_jump(void) {
static const uint64_t LONG_JUMP[] = { 0x11467fef8f921d28, 0xa2a819f2e79c8ea8, 0xa8299fc284b3959a, 0xb4d347340ca63ee1, 0x1cb0940bedbff6ce, 0xd956c5c4fa1f8e17, 0x915e38fd4eda93bc, 0x5b3ccdfa5d7daca5 };
uint64_t t[sizeof s / sizeof *s];
memset(t, 0, sizeof t);
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)
for(std::size_t w = 0; w < sizeof s / sizeof *s; w++)
t[w] ^= s[w];
next();
}
memcpy(s, t, sizeof s);
}
void test_no_seed()
{
// Default initialized to contain splitmix64 values
boost::random::xoshiro512pp 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::xoshiro512pp 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::xoshiro512pp 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::xoshiro512pp 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();
}