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opt: Skip over barren combinations of tiny UTXOs
Given a lot of small amount UTXOs it is possible that the lookahead indicates sufficient funds, but any combination of them would push us beyond the current best_weight. We can estimate a lower bound for the minimal necessary weight to reach target from the maximal amount and minimal weight in the tail of the UTXO pool: if adding a number of hypothetical UTXOs of this maximum amount and minimum weight would not be able to beat `best_weight`, we can SHIFT to the omission branch, and CUT if the last selected UTXO is not heavier than the minimum weight of the remainder.
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2 changed files with 14 additions and 8 deletions
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@ -454,6 +454,13 @@ util::Result<SelectionResult> CoinGrinder(std::vector<OutputGroup>& utxo_pool, c
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best_selection_weight = curr_weight;
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best_selection_amount = curr_amount;
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}
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} else if (!best_selection.empty() && curr_weight + int64_t{min_tail_weight[curr_tail]} * ((total_target - curr_amount + utxo_pool[curr_tail].GetSelectionAmount() - 1) / utxo_pool[curr_tail].GetSelectionAmount()) > best_selection_weight) {
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// Compare minimal tail weight and last selected amount with the amount missing to gauge whether a better weight is still possible.
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if (utxo_pool[curr_tail].m_weight <= min_tail_weight[curr_tail]) {
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should_cut = true;
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} else {
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should_shift = true;
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}
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}
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if (curr_try >= TOTAL_TRIES) {
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@ -1111,7 +1111,7 @@ BOOST_AUTO_TEST_CASE(coin_grinder_tests)
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// 4) Test that two less valuable UTXOs with a combined lower weight are preferred over a more valuable heavier UTXO
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// 5) Test finding a solution in a UTXO pool with mixed weights
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// 6) Test that the lightest solution among many clones is found
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// 7) Lots of tiny UTXOs of different amounts quickly exhausts the search attempts
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// 7) Test that lots of tiny UTXOs can be skipped if they are too heavy while there are enough funds in lookahead
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FastRandomContext rand;
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CoinSelectionParams dummy_params{ // Only used to provide the 'avoid_partial' flag.
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@ -1180,7 +1180,7 @@ BOOST_AUTO_TEST_CASE(coin_grinder_tests)
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});
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BOOST_CHECK(res);
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// Demonstrate how following improvements reduce iteration count and catch any regressions in the future.
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size_t expected_attempts = 184;
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size_t expected_attempts = 37;
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BOOST_CHECK_MESSAGE(res->GetSelectionsEvaluated() == expected_attempts, strprintf("Expected %i attempts, but got %i", expected_attempts, res->GetSelectionsEvaluated()));
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}
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@ -1231,7 +1231,7 @@ BOOST_AUTO_TEST_CASE(coin_grinder_tests)
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add_coin(4 * COIN, 3, expected_result);
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BOOST_CHECK(EquivalentResult(expected_result, *res));
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// Demonstrate how following improvements reduce iteration count and catch any regressions in the future.
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size_t expected_attempts = 218;
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size_t expected_attempts = 92;
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BOOST_CHECK_MESSAGE(res->GetSelectionsEvaluated() == expected_attempts, strprintf("Expected %i attempts, but got %i", expected_attempts, res->GetSelectionsEvaluated()));
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}
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@ -1270,14 +1270,13 @@ BOOST_AUTO_TEST_CASE(coin_grinder_tests)
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add_coin(1 * COIN, 0, expected_result);
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BOOST_CHECK(EquivalentResult(expected_result, *res));
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// Demonstrate how following improvements reduce iteration count and catch any regressions in the future.
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// If this takes more attempts, the implementation has regressed
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size_t expected_attempts = 42;
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size_t expected_attempts = 38;
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BOOST_CHECK_MESSAGE(res->GetSelectionsEvaluated() == expected_attempts, strprintf("Expected %i attempts, but got %i", expected_attempts, res->GetSelectionsEvaluated()));
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}
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{
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// #################################################################################################################
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// 7) Lots of tiny UTXOs of different amounts quickly exhausts the search attempts
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// 7) Test that lots of tiny UTXOs can be skipped if they are too heavy while there are enough funds in lookahead
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// #################################################################################################################
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CAmount target = 1.9L * COIN;
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int max_weight = 40000; // WU
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@ -1293,11 +1292,11 @@ BOOST_AUTO_TEST_CASE(coin_grinder_tests)
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return available_coins;
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});
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SelectionResult expected_result(CAmount(0), SelectionAlgorithm::CG);
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add_coin(1.8 * COIN, 1, expected_result);
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add_coin(1 * COIN, 1, expected_result);
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add_coin(1 * COIN, 2, expected_result);
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BOOST_CHECK(EquivalentResult(expected_result, *res));
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// Demonstrate how following improvements reduce iteration count and catch any regressions in the future.
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size_t expected_attempts = 100'000;
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size_t expected_attempts = 7;
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BOOST_CHECK_MESSAGE(res->GetSelectionsEvaluated() == expected_attempts, strprintf("Expected %i attempts, but got %i", expected_attempts, res->GetSelectionsEvaluated()));
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}
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}
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