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merkletree-rs Crates.io Build Status

Sparse MerkleTree implementation in Rust.

The MerkleTree is optimized in the design and concepts, to have a faster and lighter MerkleTree, maintaining compatibility with a non optimized MerkleTree. In this way, the MerkleRoot of the optimized MerkleTree will be the same that the MerkleRoot of the non optimized MerkleTree.

Compatible with the Go version: https://github.com/arnaucube/go-merkletree

Usage

Import lib:

extern crate merkletree_rs;
use merkletree_rs::{db, MerkleTree, TestValue, Value};

Create new tree:

// to build the storage, the first parameter is the path and the second parameter specifies if wants to use a in_memory database or a directory of the filesystem
let mut sto = db::Db::new("test".to_string(), true);
let mut mt = MerkleTree::new(&mut sto, 140 as u32);

Add value to leaf:

let val: TestValue = TestValue {
    bytes: "this is a test leaf".as_bytes().to_vec(),
    index_length: 15,
};
mt.add(&val).unwrap();

Get proof:

let mp = mt.generate_proof(val.hi());
println!("{:?}", mp);

Verify proof:

// check if the value exist
let v =
    merkletree_rs::verify_proof(mt.get_root(), &mp, val.hi(), val.ht(), mt.get_num_levels());
println!("{:?}", v);

// check if the don't value exist (in that case, the 'ht' will be an empty value)
let v = merkletree_rs::verify_proof(
    mt.get_root(),
    &mp,
    val.hi(),
    merkletree_rs::constants::EMPTYNODEVALUE,
    mt.get_num_levels(),
);
println!("{:?}", v);

Print current MerkleRoot:

println!("{:?}", mt.get_root());

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Sparse MerkleTree implementation in Rust

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