Introduce a Shuffle for FastRandomContext and use it in wallet and coinselection
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4 changed files with 60 additions and 3 deletions
23
src/random.h
23
src/random.h
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@ -130,6 +130,29 @@ public:
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inline uint64_t operator()() { return rand64(); }
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};
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/** More efficient than using std::shuffle on a FastRandomContext.
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*
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* This is more efficient as std::shuffle will consume entropy in groups of
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* 64 bits at the time and throw away most.
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*
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* This also works around a bug in libstdc++ std::shuffle that may cause
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* type::operator=(type&&) to be invoked on itself, which the library's
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* debug mode detects and panics on. This is a known issue, see
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* https://stackoverflow.com/questions/22915325/avoiding-self-assignment-in-stdshuffle
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*/
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template<typename I, typename R>
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void Shuffle(I first, I last, R&& rng)
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{
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while (first != last) {
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size_t j = rng.randrange(last - first);
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if (j) {
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using std::swap;
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swap(*first, *(first + j));
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}
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++first;
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}
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}
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/* Number of random bytes returned by GetOSRand.
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* When changing this constant make sure to change all call sites, and make
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* sure that the underlying OS APIs for all platforms support the number.
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@ -75,8 +75,42 @@ BOOST_AUTO_TEST_CASE(stdrandom_test)
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for (int j = 1; j <= 10; ++j) {
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BOOST_CHECK(std::find(test.begin(), test.end(), j) != test.end());
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}
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Shuffle(test.begin(), test.end(), ctx);
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for (int j = 1; j <= 10; ++j) {
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BOOST_CHECK(std::find(test.begin(), test.end(), j) != test.end());
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}
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}
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}
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/** Test that Shuffle reaches every permutation with equal probability. */
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BOOST_AUTO_TEST_CASE(shuffle_stat_test)
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{
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FastRandomContext ctx(true);
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uint32_t counts[5 * 5 * 5 * 5 * 5] = {0};
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for (int i = 0; i < 12000; ++i) {
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int data[5] = {0, 1, 2, 3, 4};
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Shuffle(std::begin(data), std::end(data), ctx);
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int pos = data[0] + data[1] * 5 + data[2] * 25 + data[3] * 125 + data[4] * 625;
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++counts[pos];
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}
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unsigned int sum = 0;
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double chi_score = 0.0;
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for (int i = 0; i < 5 * 5 * 5 * 5 * 5; ++i) {
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int i1 = i % 5, i2 = (i / 5) % 5, i3 = (i / 25) % 5, i4 = (i / 125) % 5, i5 = i / 625;
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uint32_t count = counts[i];
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if (i1 == i2 || i1 == i3 || i1 == i4 || i1 == i5 || i2 == i3 || i2 == i4 || i2 == i5 || i3 == i4 || i3 == i5 || i4 == i5) {
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BOOST_CHECK(count == 0);
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} else {
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chi_score += ((count - 100.0) * (count - 100.0)) / 100.0;
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BOOST_CHECK(count > 50);
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BOOST_CHECK(count < 150);
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sum += count;
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}
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}
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BOOST_CHECK(chi_score > 58.1411); // 99.9999% confidence interval
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BOOST_CHECK(chi_score < 210.275);
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BOOST_CHECK_EQUAL(sum, 12000);
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}
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BOOST_AUTO_TEST_SUITE_END()
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@ -223,7 +223,7 @@ bool KnapsackSolver(const CAmount& nTargetValue, std::vector<OutputGroup>& group
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std::vector<OutputGroup> applicable_groups;
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CAmount nTotalLower = 0;
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random_shuffle(groups.begin(), groups.end(), GetRandInt);
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Shuffle(groups.begin(), groups.end(), FastRandomContext());
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for (const OutputGroup& group : groups) {
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if (group.m_value == nTargetValue) {
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@ -2462,7 +2462,7 @@ bool CWallet::SelectCoins(const std::vector<COutput>& vAvailableCoins, const CAm
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// Cases where we have 11+ outputs all pointing to the same destination may result in
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// privacy leaks as they will potentially be deterministically sorted. We solve that by
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// explicitly shuffling the outputs before processing
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std::shuffle(vCoins.begin(), vCoins.end(), FastRandomContext());
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Shuffle(vCoins.begin(), vCoins.end(), FastRandomContext());
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}
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std::vector<OutputGroup> groups = GroupOutputs(vCoins, !coin_control.m_avoid_partial_spends);
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@ -2922,7 +2922,7 @@ bool CWallet::CreateTransaction(interfaces::Chain::Lock& locked_chain, const std
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// Shuffle selected coins and fill in final vin
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txNew.vin.clear();
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std::vector<CInputCoin> selected_coins(setCoins.begin(), setCoins.end());
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std::shuffle(selected_coins.begin(), selected_coins.end(), FastRandomContext());
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Shuffle(selected_coins.begin(), selected_coins.end(), FastRandomContext());
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// Note how the sequence number is set to non-maxint so that
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// the nLockTime set above actually works.
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