Tracking PR for v0.14.0 release #351
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* merkle: add parent() helper function on NodeIndex * smt: add pairs_to_leaf() to trait * smt: add sorted_pairs_to_leaves() and test for it * smt: implement single subtree-8 hashing, w/ benchmarks & tests This will be composed into depth-8-subtree-based computation of entire sparse Merkle trees. * merkle: add a benchmark for constructing 256-balanced trees This is intended for comparison with the benchmarks from the previous commit. This benchmark represents the theoretical perfect-efficiency performance we could possibly (but impractically) get for computing depth-8 sparse Merkle subtrees. * smt: test that SparseMerkleTree::build_subtree() is composable * smt: test that subtree logic can correctly construct an entire tree This commit ensures that `SparseMerkleTree::build_subtree()` can correctly compose into building an entire sparse Merkle tree, without yet getting into potential complications concurrency introduces. * smt: implement test for basic parallelized subtree computation w/ rayon Building on the previous commit, this commit implements a test proving that `SparseMerkleTree::build_subtree()` can be composed into itself not just concurrently, but in parallel, without issue. * smt: add from_raw_parts() to trait interface This commit adds a new required method to the SparseMerkleTree trait, to allow generic construction from pre-computed parts. This will be used to add a generic version of `with_entries()` in a later commit. * smt: add parallel constructors to Smt and SimpleSmt What the previous few commits have been leading up to: SparseMerkleTree now has a function to construct the tree from existing data in parallel. This is significantly faster than the singlethreaded equivalent. Benchmarks incoming! --------- Co-authored-by: krushimir <[email protected]> Co-authored-by: krushimir <[email protected]>
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This is a tracking PR for v0.14.0 release.