mirror of
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246 lines
6.1 KiB
C++
246 lines
6.1 KiB
C++
/*
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* Copyright Matt Borland 2025.
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* Distributed under the Boost Software License, Version 1.0. (See
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* accompanying file LICENSE_1_0.txt or copy at
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* http://www.boost.org/LICENSE_1_0.txt)
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*
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* This file copies and pastes the original code for comparison under the following license
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*
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* Written in 2019 by David Blackman and Sebastiano Vigna (vigna@acm.org)
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*
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* To the extent possible under law, the author has dedicated all copyright
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* and related and neighboring rights to this software to the public domain
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* worldwide.
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*
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* Permission to use, copy, modify, and/or distribute this software for any
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* purpose with or without fee is hereby granted.
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*
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* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
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* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
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* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
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* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
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* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
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* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
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* IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
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*/
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#include <boost/random/xoshiro.hpp>
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#include <boost/random/splitmix64.hpp>
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#include <boost/core/lightweight_test.hpp>
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#include <cstdint>
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#include <cstring>
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using std::uint64_t;
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using std::memset;
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using std::memcpy;
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/* This is xoshiro512++ 1.0, one of our all-purpose, rock-solid
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generators. It has excellent (about 1ns) speed, a state (512 bits) that
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is large enough for any parallel application, and it passes all tests
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we are aware of.
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For generating just floating-point numbers, xoshiro512+ is even faster.
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The state must be seeded so that it is not everywhere zero. If you have
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a 64-bit seed, we suggest to seed a splitmix64 generator and use its
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output to fill s. */
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static inline uint64_t rotl(const uint64_t x, int k) {
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return (x << k) | (x >> (64 - k));
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}
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static uint64_t s[8];
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uint64_t next(void) {
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const uint64_t result = rotl(s[0] + s[2], 17) + s[2];
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const uint64_t t = s[1] << 11;
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s[2] ^= s[0];
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s[5] ^= s[1];
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s[1] ^= s[2];
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s[7] ^= s[3];
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s[3] ^= s[4];
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s[4] ^= s[5];
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s[0] ^= s[6];
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s[6] ^= s[7];
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s[6] ^= t;
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s[7] = rotl(s[7], 21);
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return result;
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}
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/* This is the jump function for the generator. It is equivalent
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to 2^256 calls to next(); it can be used to generate 2^256
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non-overlapping subsequences for parallel computations. */
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void jump(void) {
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static const uint64_t JUMP[] = { 0x33ed89b6e7a353f9, 0x760083d7955323be, 0x2837f2fbb5f22fae, 0x4b8c5674d309511c, 0xb11ac47a7ba28c25, 0xf1be7667092bcc1c, 0x53851efdb6df0aaf, 0x1ebbc8b23eaf25db };
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uint64_t t[sizeof s / sizeof *s];
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memset(t, 0, sizeof t);
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for(std::size_t i = 0; i < sizeof JUMP / sizeof *JUMP; i++)
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for(int b = 0; b < 64; b++) {
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if (JUMP[i] & UINT64_C(1) << b)
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for(std::size_t w = 0; w < sizeof s / sizeof *s; w++)
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t[w] ^= s[w];
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next();
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}
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memcpy(s, t, sizeof s);
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}
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/* This is the long-jump function for the generator. It is equivalent to
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2^384 calls to next(); it can be used to generate 2^128 starting points,
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from each of which jump() will generate 2^128 non-overlapping
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subsequences for parallel distributed computations. */
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void long_jump(void) {
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static const uint64_t LONG_JUMP[] = { 0x11467fef8f921d28, 0xa2a819f2e79c8ea8, 0xa8299fc284b3959a, 0xb4d347340ca63ee1, 0x1cb0940bedbff6ce, 0xd956c5c4fa1f8e17, 0x915e38fd4eda93bc, 0x5b3ccdfa5d7daca5 };
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uint64_t t[sizeof s / sizeof *s];
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memset(t, 0, sizeof t);
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for(std::size_t i = 0; i < sizeof LONG_JUMP / sizeof *LONG_JUMP; i++)
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for(int b = 0; b < 64; b++) {
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if (LONG_JUMP[i] & UINT64_C(1) << b)
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for(std::size_t w = 0; w < sizeof s / sizeof *s; w++)
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t[w] ^= s[w];
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next();
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}
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memcpy(s, t, sizeof s);
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}
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void test_no_seed()
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{
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// Default initialized to contain splitmix64 values
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boost::random::xoshiro512pp boost_rng;
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for (int i {}; i < 10000; ++i)
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{
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boost_rng();
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}
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boost::random::splitmix64 gen;
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for (auto& i : s)
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{
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i = gen();
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}
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for (int i {}; i < 10000; ++i)
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{
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next();
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}
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const auto final_state = boost_rng.state();
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for (std::size_t i {}; i < final_state.size(); ++i)
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{
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BOOST_TEST_EQ(final_state[i], s[i]);
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}
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}
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void test_basic_seed()
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{
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// Default initialized to contain splitmix64 values
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boost::random::xoshiro512pp boost_rng(42ULL);
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for (int i {}; i < 10000; ++i)
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{
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boost_rng();
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}
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boost::random::splitmix64 gen(42ULL);
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for (auto& i : s)
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{
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i = gen();
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}
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for (int i {}; i < 10000; ++i)
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{
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next();
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}
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const auto final_state = boost_rng.state();
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for (std::size_t i {}; i < final_state.size(); ++i)
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{
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BOOST_TEST_EQ(final_state[i], s[i]);
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}
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}
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void test_jump()
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{
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// Default initialized to contain splitmix64 values
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boost::random::xoshiro512pp boost_rng;
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for (int i {}; i < 10000; ++i)
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{
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boost_rng();
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}
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boost::random::splitmix64 gen;
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for (auto& i : s)
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{
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i = gen();
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}
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for (int i {}; i < 10000; ++i)
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{
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next();
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}
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boost_rng.jump();
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jump();
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const auto final_state = boost_rng.state();
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for (std::size_t i {}; i < final_state.size(); ++i)
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{
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BOOST_TEST_EQ(final_state[i], s[i]);
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}
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}
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void test_long_jump()
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{
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// Default initialized to contain splitmix64 values
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boost::random::xoshiro512pp boost_rng;
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for (int i {}; i < 10000; ++i)
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{
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boost_rng();
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}
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boost::random::splitmix64 gen;
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for (auto& i : s)
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{
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i = gen();
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}
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for (int i {}; i < 10000; ++i)
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{
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next();
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}
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boost_rng.long_jump();
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long_jump();
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const auto final_state = boost_rng.state();
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for (std::size_t i {}; i < final_state.size(); ++i)
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{
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BOOST_TEST_EQ(final_state[i], s[i]);
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}
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}
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int main()
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{
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test_no_seed();
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test_basic_seed();
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test_jump();
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test_long_jump();
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return boost::report_errors();
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}
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