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clusterlin: add AncestorCandidateFinder class
This is a class that encapsulates precomputed ancestor set feerates, and presents an interface for getting the best remaining ancestor set.
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@ -5,6 +5,7 @@
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#ifndef BITCOIN_CLUSTER_LINEARIZE_H
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#define BITCOIN_CLUSTER_LINEARIZE_H
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#include <optional>
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#include <stdint.h>
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#include <vector>
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#include <utility>
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@ -166,6 +167,122 @@ public:
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}
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};
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/** A set of transactions together with their aggregate feerate. */
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template<typename SetType>
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struct SetInfo
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{
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/** The transactions in the set. */
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SetType transactions;
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/** Their combined fee and size. */
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FeeFrac feerate;
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/** Construct a SetInfo for a specified set and feerate. */
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SetInfo(const SetType& txn, const FeeFrac& fr) noexcept : transactions(txn), feerate(fr) {}
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/** Construct a SetInfo for a set of transactions in a depgraph. */
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explicit SetInfo(const DepGraph<SetType>& depgraph, const SetType& txn) noexcept :
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transactions(txn), feerate(depgraph.FeeRate(txn)) {}
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/** Permit equality testing. */
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friend bool operator==(const SetInfo&, const SetInfo&) noexcept = default;
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};
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/** Class encapsulating the state needed to find the best remaining ancestor set.
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*
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* It is initialized for an entire DepGraph, and parts of the graph can be dropped by calling
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* MarkDone.
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*
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* As long as any part of the graph remains, FindCandidateSet() can be called which will return a
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* SetInfo with the highest-feerate ancestor set that remains (an ancestor set is a single
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* transaction together with all its remaining ancestors).
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*/
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template<typename SetType>
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class AncestorCandidateFinder
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{
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/** Internal dependency graph. */
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const DepGraph<SetType>& m_depgraph;
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/** Which transaction are left to include. */
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SetType m_todo;
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/** Precomputed ancestor-set feerates (only kept up-to-date for indices in m_todo). */
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std::vector<FeeFrac> m_ancestor_set_feerates;
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public:
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/** Construct an AncestorCandidateFinder for a given cluster.
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*
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* Complexity: O(N^2) where N=depgraph.TxCount().
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*/
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AncestorCandidateFinder(const DepGraph<SetType>& depgraph LIFETIMEBOUND) noexcept :
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m_depgraph(depgraph),
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m_todo{SetType::Fill(depgraph.TxCount())},
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m_ancestor_set_feerates(depgraph.TxCount())
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{
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// Precompute ancestor-set feerates.
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for (ClusterIndex i = 0; i < depgraph.TxCount(); ++i) {
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/** The remaining ancestors for transaction i. */
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SetType anc_to_add = m_depgraph.Ancestors(i);
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FeeFrac anc_feerate;
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// Reuse accumulated feerate from first ancestor, if usable.
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Assume(anc_to_add.Any());
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ClusterIndex first = anc_to_add.First();
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if (first < i) {
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anc_feerate = m_ancestor_set_feerates[first];
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Assume(!anc_feerate.IsEmpty());
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anc_to_add -= m_depgraph.Ancestors(first);
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}
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// Add in other ancestors (which necessarily include i itself).
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Assume(anc_to_add[i]);
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anc_feerate += m_depgraph.FeeRate(anc_to_add);
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// Store the result.
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m_ancestor_set_feerates[i] = anc_feerate;
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}
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}
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/** Remove a set of transactions from the set of to-be-linearized ones.
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*
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* The same transaction may not be MarkDone()'d twice.
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*
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* Complexity: O(N*M) where N=depgraph.TxCount(), M=select.Count().
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*/
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void MarkDone(SetType select) noexcept
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{
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Assume(select.Any());
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Assume(select.IsSubsetOf(m_todo));
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m_todo -= select;
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for (auto i : select) {
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auto feerate = m_depgraph.FeeRate(i);
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for (auto j : m_depgraph.Descendants(i) & m_todo) {
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m_ancestor_set_feerates[j] -= feerate;
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}
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}
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}
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/** Check whether any unlinearized transactions remain. */
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bool AllDone() const noexcept
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{
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return m_todo.None();
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}
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/** Find the best (highest-feerate, smallest among those in case of a tie) ancestor set
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* among the remaining transactions. Requires !AllDone().
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*
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* Complexity: O(N) where N=depgraph.TxCount();
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*/
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SetInfo<SetType> FindCandidateSet() const noexcept
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{
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Assume(!AllDone());
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std::optional<ClusterIndex> best;
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for (auto i : m_todo) {
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if (best.has_value()) {
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Assume(!m_ancestor_set_feerates[i].IsEmpty());
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if (!(m_ancestor_set_feerates[i] > m_ancestor_set_feerates[*best])) continue;
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}
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best = i;
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}
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Assume(best.has_value());
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return {m_depgraph.Ancestors(*best) & m_todo, m_ancestor_set_feerates[*best]};
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}
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};
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} // namespace cluster_linearize
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#endif // BITCOIN_CLUSTER_LINEARIZE_H
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@ -15,6 +15,30 @@
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#include <vector>
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#include <utility>
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using namespace cluster_linearize;
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namespace {
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/** Given a dependency graph, and a todo set, read a topological subset of todo from reader. */
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template<typename SetType>
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SetType ReadTopologicalSet(const DepGraph<SetType>& depgraph, const SetType& todo, SpanReader& reader)
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{
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uint64_t mask{0};
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try {
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reader >> VARINT(mask);
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} catch(const std::ios_base::failure&) {}
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SetType ret;
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for (auto i : todo) {
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if (!ret[i]) {
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if (mask & 1) ret |= depgraph.Ancestors(i);
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mask >>= 1;
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}
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}
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return ret & todo;
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}
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} // namespace
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FUZZ_TARGET(clusterlin_add_dependency)
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{
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// Verify that computing a DepGraph from a cluster, or building it step by step using AddDependency
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@ -85,3 +109,51 @@ FUZZ_TARGET(clusterlin_depgraph_serialization)
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// Verify the graph is a DAG.
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assert(IsAcyclic(depgraph));
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}
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FUZZ_TARGET(clusterlin_ancestor_finder)
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{
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// Verify that AncestorCandidateFinder works as expected.
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// Retrieve a depgraph from the fuzz input.
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SpanReader reader(buffer);
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DepGraph<TestBitSet> depgraph;
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try {
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reader >> Using<DepGraphFormatter>(depgraph);
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} catch (const std::ios_base::failure&) {}
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AncestorCandidateFinder anc_finder(depgraph);
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auto todo = TestBitSet::Fill(depgraph.TxCount());
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while (todo.Any()) {
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// Call the ancestor finder's FindCandidateSet for what remains of the graph.
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assert(!anc_finder.AllDone());
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auto best_anc = anc_finder.FindCandidateSet();
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// Sanity check the result.
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assert(best_anc.transactions.Any());
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assert(best_anc.transactions.IsSubsetOf(todo));
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assert(depgraph.FeeRate(best_anc.transactions) == best_anc.feerate);
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// Check that it is topologically valid.
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for (auto i : best_anc.transactions) {
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assert((depgraph.Ancestors(i) & todo).IsSubsetOf(best_anc.transactions));
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}
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// Compute all remaining ancestor sets.
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std::optional<SetInfo<TestBitSet>> real_best_anc;
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for (auto i : todo) {
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SetInfo info(depgraph, todo & depgraph.Ancestors(i));
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if (!real_best_anc.has_value() || info.feerate > real_best_anc->feerate) {
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real_best_anc = info;
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}
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}
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// The set returned by anc_finder must equal the real best ancestor sets.
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assert(real_best_anc.has_value());
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assert(*real_best_anc == best_anc);
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// Find a topologically valid subset of transactions to remove from the graph.
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auto del_set = ReadTopologicalSet(depgraph, todo, reader);
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// If we did not find anything, use best_anc itself, because we should remove something.
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if (del_set.None()) del_set = best_anc.transactions;
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todo -= del_set;
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anc_finder.MarkDone(del_set);
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}
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assert(anc_finder.AllDone());
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}
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