use super::{BTreeMap, MerkleError, MerklePath, NodeIndex, Rpo256, RpoDigest, Vec, Word};
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#[cfg(test)]
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mod tests;
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// SPARSE MERKLE TREE
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// ================================================================================================
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/// A sparse Merkle tree with 63-bit keys and 4-element leaf values, without compaction.
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/// Manipulation and retrieval of leaves and internal nodes is provided by its internal `Store`.
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/// The root of the tree is recomputed on each new leaf update.
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#[derive(Debug, Clone, PartialEq, Eq)]
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pub struct SimpleSmt {
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root: Word,
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depth: u8,
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store: Store,
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}
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impl SimpleSmt {
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// CONSTANTS
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// --------------------------------------------------------------------------------------------
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/// Minimum supported depth.
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pub const MIN_DEPTH: u8 = 1;
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/// Maximum supported depth.
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pub const MAX_DEPTH: u8 = 63;
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// CONSTRUCTORS
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// --------------------------------------------------------------------------------------------
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/// Creates a new simple SMT.
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///
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/// The provided entries will be tuples of the leaves and their corresponding keys.
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///
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/// # Errors
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///
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/// The function will fail if the provided entries count exceed the maximum tree capacity, that
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/// is `2^{depth}`.
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pub fn new<R, I>(entries: R, depth: u8) -> Result<Self, MerkleError>
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where
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R: IntoIterator<IntoIter = I>,
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I: Iterator<Item = (u64, Word)> + ExactSizeIterator,
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{
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let mut entries = entries.into_iter();
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// validate the range of the depth.
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let max = 1 << depth;
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if depth < Self::MIN_DEPTH {
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return Err(MerkleError::DepthTooSmall(depth));
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} else if Self::MAX_DEPTH < depth {
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return Err(MerkleError::DepthTooBig(depth));
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} else if entries.len() > max {
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return Err(MerkleError::InvalidEntriesCount(max, entries.len()));
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}
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let (store, root) = Store::new(depth);
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let mut tree = Self { root, depth, store };
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entries.try_for_each(|(key, leaf)| tree.insert_leaf(key, leaf))?;
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Ok(tree)
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}
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/// Returns the root of this Merkle tree.
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pub const fn root(&self) -> Word {
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self.root
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}
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/// Returns the depth of this Merkle tree.
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pub const fn depth(&self) -> u8 {
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self.depth
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}
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/// Returns the set count of the keys of the leaves.
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pub fn leaves_count(&self) -> usize {
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self.store.leaves_count()
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}
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/// Returns a node at the specified key
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///
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/// # Errors
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/// Returns an error if:
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/// * The specified depth is greater than the depth of the tree.
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/// * The specified key does not exist
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pub fn get_node(&self, index: &NodeIndex) -> Result<Word, MerkleError> {
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if index.is_root() {
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Err(MerkleError::DepthTooSmall(index.depth()))
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} else if index.depth() > self.depth() {
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Err(MerkleError::DepthTooBig(index.depth()))
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} else if index.depth() == self.depth() {
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self.store.get_leaf_node(index.value())
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} else {
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let branch_node = self.store.get_branch_node(index)?;
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Ok(Rpo256::merge(&[branch_node.left, branch_node.right]).into())
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}
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}
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/// Returns a Merkle path from the node at the specified key to the root. The node itself is
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/// not included in the path.
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///
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/// # Errors
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/// Returns an error if:
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/// * The specified key does not exist as a branch or leaf node
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/// * The specified depth is greater than the depth of the tree.
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pub fn get_path(&self, mut index: NodeIndex) -> Result<MerklePath, MerkleError> {
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if index.is_root() {
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return Err(MerkleError::DepthTooSmall(index.depth()));
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} else if index.depth() > self.depth() {
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return Err(MerkleError::DepthTooBig(index.depth()));
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} else if index.depth() == self.depth() && !self.store.check_leaf_node_exists(index.value())
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{
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return Err(MerkleError::InvalidIndex(index.with_depth(self.depth())));
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}
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let mut path = Vec::with_capacity(index.depth() as usize);
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for _ in 0..index.depth() {
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let is_right = index.is_value_odd();
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index.move_up();
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let BranchNode { left, right } = self.store.get_branch_node(&index)?;
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let value = if is_right { left } else { right };
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path.push(*value);
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}
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Ok(path.into())
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}
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/// Return a Merkle path from the leaf at the specified key to the root. The leaf itself is not
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/// included in the path.
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///
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/// # Errors
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/// Returns an error if:
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/// * The specified key does not exist as a leaf node.
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pub fn get_leaf_path(&self, key: u64) -> Result<MerklePath, MerkleError> {
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self.get_path(NodeIndex::new(self.depth(), key))
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}
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/// Replaces the leaf located at the specified key, and recomputes hashes by walking up the tree
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///
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/// # Errors
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/// Returns an error if the specified key is not a valid leaf index for this tree.
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pub fn update_leaf(&mut self, key: u64, value: Word) -> Result<(), MerkleError> {
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if !self.store.check_leaf_node_exists(key) {
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return Err(MerkleError::InvalidIndex(NodeIndex::new(self.depth(), key)));
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}
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self.insert_leaf(key, value)?;
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Ok(())
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}
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/// Inserts a leaf located at the specified key, and recomputes hashes by walking up the tree
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pub fn insert_leaf(&mut self, key: u64, value: Word) -> Result<(), MerkleError> {
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self.store.insert_leaf_node(key, value);
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// TODO consider using a map `index |-> word` instead of `index |-> (word, word)`
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let mut index = NodeIndex::new(self.depth(), key);
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let mut value = RpoDigest::from(value);
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for _ in 0..index.depth() {
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let is_right = index.is_value_odd();
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index.move_up();
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let BranchNode { left, right } = self
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.store
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.get_branch_node(&index)
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.unwrap_or_else(|_| self.store.get_empty_node(index.depth() as usize + 1));
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let (left, right) = if is_right {
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(left, value)
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} else {
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(value, right)
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};
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self.store.insert_branch_node(index, left, right);
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value = Rpo256::merge(&[left, right]);
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}
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self.root = value.into();
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Ok(())
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}
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}
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// STORE
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// ================================================================================================
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/// A data store for sparse Merkle tree key-value pairs.
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/// Leaves and branch nodes are stored separately in B-tree maps, indexed by key and (key, depth)
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/// respectively. Hashes for blank subtrees at each layer are stored in `empty_hashes`, beginning
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/// with the root hash of an empty tree, and ending with the zero value of a leaf node.
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#[derive(Debug, Clone, PartialEq, Eq)]
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struct Store {
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branches: BTreeMap<NodeIndex, BranchNode>,
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leaves: BTreeMap<u64, Word>,
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empty_hashes: Vec<RpoDigest>,
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depth: u8,
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}
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#[derive(Debug, Default, Clone, PartialEq, Eq)]
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struct BranchNode {
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left: RpoDigest,
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right: RpoDigest,
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}
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impl Store {
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fn new(depth: u8) -> (Self, Word) {
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let branches = BTreeMap::new();
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let leaves = BTreeMap::new();
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// Construct empty node digests for each layer of the tree
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let empty_hashes: Vec<RpoDigest> = (0..depth + 1)
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.scan(Word::default().into(), |state, _| {
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let value = *state;
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*state = Rpo256::merge(&[value, value]);
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Some(value)
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})
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.collect::<Vec<_>>()
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.into_iter()
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.rev()
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.collect();
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let root = empty_hashes[0].into();
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let store = Self {
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branches,
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leaves,
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empty_hashes,
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depth,
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};
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(store, root)
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}
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fn get_empty_node(&self, depth: usize) -> BranchNode {
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let digest = self.empty_hashes[depth];
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BranchNode {
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left: digest,
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right: digest,
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}
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}
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fn check_leaf_node_exists(&self, key: u64) -> bool {
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self.leaves.contains_key(&key)
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}
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fn get_leaf_node(&self, key: u64) -> Result<Word, MerkleError> {
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self.leaves
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.get(&key)
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.cloned()
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.ok_or(MerkleError::InvalidIndex(NodeIndex::new(self.depth, key)))
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}
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fn insert_leaf_node(&mut self, key: u64, node: Word) {
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self.leaves.insert(key, node);
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}
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fn get_branch_node(&self, index: &NodeIndex) -> Result<BranchNode, MerkleError> {
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self.branches
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.get(index)
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.cloned()
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.ok_or(MerkleError::InvalidIndex(*index))
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}
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fn insert_branch_node(&mut self, index: NodeIndex, left: RpoDigest, right: RpoDigest) {
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let branch = BranchNode { left, right };
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self.branches.insert(index, branch);
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}
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fn leaves_count(&self) -> usize {
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self.leaves.len()
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}
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}
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