clusterlin: add PostLinearize + benchmarks + fuzz tests

This commit is contained in:
Pieter Wuille
2024-05-19 08:03:57 -04:00
parent 0e2812d293
commit 4f8958d756
3 changed files with 391 additions and 0 deletions

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