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clusterlin: add PostLinearize + benchmarks + fuzz tests
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@@ -766,3 +766,166 @@ FUZZ_TARGET(clusterlin_linearize)
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}
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}
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}
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FUZZ_TARGET(clusterlin_postlinearize)
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{
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// Verify expected properties of PostLinearize() on arbitrary linearizations.
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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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// Retrieve a linearization from the fuzz input.
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std::vector<ClusterIndex> linearization;
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linearization = ReadLinearization(depgraph, reader);
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SanityCheck(depgraph, linearization);
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// Produce a post-processed version.
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auto post_linearization = linearization;
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PostLinearize(depgraph, post_linearization);
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SanityCheck(depgraph, post_linearization);
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// Compare diagrams: post-linearization cannot worsen anywhere.
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auto chunking = ChunkLinearization(depgraph, linearization);
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auto post_chunking = ChunkLinearization(depgraph, post_linearization);
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auto cmp = CompareChunks(post_chunking, chunking);
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assert(cmp >= 0);
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// Run again, things can keep improving (and never get worse)
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auto post_post_linearization = post_linearization;
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PostLinearize(depgraph, post_post_linearization);
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SanityCheck(depgraph, post_post_linearization);
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auto post_post_chunking = ChunkLinearization(depgraph, post_post_linearization);
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cmp = CompareChunks(post_post_chunking, post_chunking);
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assert(cmp >= 0);
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// The chunks that come out of postlinearizing are always connected.
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LinearizationChunking linchunking(depgraph, post_linearization);
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while (linchunking.NumChunksLeft()) {
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assert(depgraph.IsConnected(linchunking.GetChunk(0).transactions));
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linchunking.MarkDone(linchunking.GetChunk(0).transactions);
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}
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}
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FUZZ_TARGET(clusterlin_postlinearize_tree)
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{
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// Verify expected properties of PostLinearize() on linearizations of graphs that form either
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// an upright or reverse tree structure.
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// Construct a direction, RNG seed, and an arbitrary graph from the fuzz input.
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SpanReader reader(buffer);
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uint64_t rng_seed{0};
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DepGraph<TestBitSet> depgraph_gen;
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uint8_t direction{0};
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try {
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reader >> direction >> rng_seed >> Using<DepGraphFormatter>(depgraph_gen);
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} catch (const std::ios_base::failure&) {}
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// Now construct a new graph, copying the nodes, but leaving only the first parent (even
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// direction) or the first child (odd direction).
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DepGraph<TestBitSet> depgraph_tree;
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for (ClusterIndex i = 0; i < depgraph_gen.TxCount(); ++i) {
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depgraph_tree.AddTransaction(depgraph_gen.FeeRate(i));
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}
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if (direction & 1) {
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for (ClusterIndex i = 0; i < depgraph_gen.TxCount(); ++i) {
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auto children = depgraph_gen.Descendants(i) - TestBitSet::Singleton(i);
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// Remove descendants that are children of other descendants.
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for (auto j : children) {
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if (!children[j]) continue;
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children -= depgraph_gen.Descendants(j);
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children.Set(j);
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}
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if (children.Any()) depgraph_tree.AddDependency(i, children.First());
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}
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} else {
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for (ClusterIndex i = 0; i < depgraph_gen.TxCount(); ++i) {
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auto parents = depgraph_gen.Ancestors(i) - TestBitSet::Singleton(i);
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// Remove ancestors that are parents of other ancestors.
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for (auto j : parents) {
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if (!parents[j]) continue;
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parents -= depgraph_gen.Ancestors(j);
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parents.Set(j);
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}
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if (parents.Any()) depgraph_tree.AddDependency(parents.First(), i);
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}
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}
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// Retrieve a linearization from the fuzz input.
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std::vector<ClusterIndex> linearization;
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linearization = ReadLinearization(depgraph_tree, reader);
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SanityCheck(depgraph_tree, linearization);
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// Produce a postlinearized version.
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auto post_linearization = linearization;
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PostLinearize(depgraph_tree, post_linearization);
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SanityCheck(depgraph_tree, post_linearization);
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// Compare diagrams.
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auto chunking = ChunkLinearization(depgraph_tree, linearization);
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auto post_chunking = ChunkLinearization(depgraph_tree, post_linearization);
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auto cmp = CompareChunks(post_chunking, chunking);
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assert(cmp >= 0);
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// Verify that post-linearizing again does not change the diagram. The result must be identical
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// as post_linearization ought to be optimal already with a tree-structured graph.
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auto post_post_linearization = post_linearization;
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PostLinearize(depgraph_tree, post_linearization);
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SanityCheck(depgraph_tree, post_linearization);
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auto post_post_chunking = ChunkLinearization(depgraph_tree, post_post_linearization);
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auto cmp_post = CompareChunks(post_post_chunking, post_chunking);
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assert(cmp_post == 0);
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// Try to find an even better linearization directly. This must not change the diagram for the
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// same reason.
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auto [opt_linearization, _optimal] = Linearize(depgraph_tree, 100000, rng_seed, post_linearization);
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auto opt_chunking = ChunkLinearization(depgraph_tree, opt_linearization);
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auto cmp_opt = CompareChunks(opt_chunking, post_chunking);
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assert(cmp_opt == 0);
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}
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FUZZ_TARGET(clusterlin_postlinearize_moved_leaf)
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{
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// Verify that taking an existing linearization, and moving a leaf to the back, potentially
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// increasing its fee, and then post-linearizing, results in something as good as the
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// original. This guarantees that in an RBF that replaces a transaction with one of the same
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// size but higher fee, applying the "remove conflicts, append new transaction, postlinearize"
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// process will never worsen linearization quality.
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// Construct an arbitrary graph and a fee from the fuzz input.
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SpanReader reader(buffer);
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DepGraph<TestBitSet> depgraph;
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int32_t fee_inc{0};
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try {
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uint64_t fee_inc_code;
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reader >> Using<DepGraphFormatter>(depgraph) >> VARINT(fee_inc_code);
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fee_inc = fee_inc_code & 0x3ffff;
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} catch (const std::ios_base::failure&) {}
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if (depgraph.TxCount() == 0) return;
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// Retrieve two linearizations from the fuzz input.
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auto lin = ReadLinearization(depgraph, reader);
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auto lin_leaf = ReadLinearization(depgraph, reader);
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// Construct a linearization identical to lin, but with the tail end of lin_leaf moved to the
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// back.
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std::vector<ClusterIndex> lin_moved;
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for (auto i : lin) {
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if (i != lin_leaf.back()) lin_moved.push_back(i);
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}
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lin_moved.push_back(lin_leaf.back());
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// Postlinearize lin_moved.
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PostLinearize(depgraph, lin_moved);
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SanityCheck(depgraph, lin_moved);
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// Compare diagrams (applying the fee delta after computing the old one).
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auto old_chunking = ChunkLinearization(depgraph, lin);
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depgraph.FeeRate(lin_leaf.back()).fee += fee_inc;
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auto new_chunking = ChunkLinearization(depgraph, lin_moved);
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auto cmp = CompareChunks(new_chunking, old_chunking);
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assert(cmp >= 0);
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}
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