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Merge pull request #162 from 0xPolygonMiden/frisitano-tx-executor

Introduce data access recording capabilities
al-gkr-basic-workflow
Bobbin Threadbare 1 year ago
committed by GitHub
parent
commit
f52ac29a02
No known key found for this signature in database GPG Key ID: 4AEE18F83AFDEB23
10 changed files with 532 additions and 93 deletions
  1. +1
    -1
      benches/store.rs
  2. +1
    -0
      src/merkle/mmr/full.rs
  3. +2
    -2
      src/merkle/mod.rs
  4. +2
    -1
      src/merkle/partial_mt/mod.rs
  5. +4
    -1
      src/merkle/partial_mt/tests.rs
  6. +6
    -0
      src/merkle/path.rs
  7. +121
    -81
      src/merkle/store/mod.rs
  8. +58
    -3
      src/merkle/store/tests.rs
  9. +324
    -0
      src/utils/kv_map.rs
  10. +13
    -4
      src/utils/mod.rs

+ 1
- 1
benches/store.rs

@ -1,5 +1,5 @@
use criterion::{black_box, criterion_group, criterion_main, BatchSize, BenchmarkId, Criterion};
use miden_crypto::merkle::{MerkleStore, MerkleTree, NodeIndex, SimpleSmt};
use miden_crypto::merkle::{DefaultMerkleStore as MerkleStore, MerkleTree, NodeIndex, SimpleSmt};
use miden_crypto::Word;
use miden_crypto::{hash::rpo::RpoDigest, Felt};
use rand_utils::{rand_array, rand_value};

+ 1
- 0
src/merkle/mmr/full.rs

@ -28,6 +28,7 @@ use std::error::Error;
///
/// Since this is a full representation of the MMR, elements are never removed and the MMR will
/// grow roughly `O(2n)` in number of leaf elements.
#[derive(Debug, Clone)]
pub struct Mmr {
/// Refer to the `forest` method documentation for details of the semantics of this value.
pub(super) forest: usize,

+ 2
- 2
src/merkle/mod.rs

@ -1,6 +1,6 @@
use super::{
hash::rpo::{Rpo256, RpoDigest},
utils::collections::{vec, BTreeMap, BTreeSet, Vec},
utils::collections::{vec, BTreeMap, BTreeSet, KvMap, RecordingMap, Vec},
Felt, StarkField, Word, WORD_SIZE, ZERO,
};
use core::fmt;
@ -33,7 +33,7 @@ mod mmr;
pub use mmr::{Mmr, MmrPeaks, MmrProof};
mod store;
pub use store::MerkleStore;
pub use store::{DefaultMerkleStore, MerkleStore, RecordingMerkleStore};
mod node;
pub use node::InnerNodeInfo;

+ 2
- 1
src/merkle/partial_mt/mod.rs

@ -154,7 +154,8 @@ impl PartialMerkleTree {
self.leaves.iter().map(|&leaf| {
(
leaf,
self.get_node(leaf).expect(&format!("Leaf with {leaf} is not in the nodes map")),
self.get_node(leaf)
.unwrap_or_else(|_| panic!("Leaf with {leaf} is not in the nodes map")),
)
})
}

+ 4
- 1
src/merkle/partial_mt/tests.rs

@ -1,5 +1,8 @@
use super::{
super::{digests_to_words, int_to_node, MerkleStore, MerkleTree, NodeIndex, PartialMerkleTree},
super::{
digests_to_words, int_to_node, DefaultMerkleStore as MerkleStore, MerkleTree, NodeIndex,
PartialMerkleTree,
},
RpoDigest, ValuePath, Vec,
};

+ 6
- 0
src/merkle/path.rs

@ -68,6 +68,12 @@ impl MerklePath {
}
}
impl From<MerklePath> for Vec<RpoDigest> {
fn from(path: MerklePath) -> Self {
path.nodes
}
}
impl From<Vec<RpoDigest>> for MerklePath {
fn from(path: Vec<RpoDigest>) -> Self {
Self::new(path)

+ 121
- 81
src/merkle/store/mod.rs

@ -1,6 +1,7 @@
use super::{
mmr::Mmr, BTreeMap, EmptySubtreeRoots, InnerNodeInfo, MerkleError, MerklePath, MerklePathSet,
MerkleTree, NodeIndex, RootPath, Rpo256, RpoDigest, SimpleSmt, TieredSmt, ValuePath, Vec,
mmr::Mmr, BTreeMap, EmptySubtreeRoots, InnerNodeInfo, KvMap, MerkleError, MerklePath,
MerklePathSet, MerkleTree, NodeIndex, RecordingMap, RootPath, Rpo256, RpoDigest, SimpleSmt,
TieredSmt, ValuePath, Vec,
};
use crate::utils::{ByteReader, ByteWriter, Deserializable, DeserializationError, Serializable};
use core::borrow::Borrow;
@ -8,6 +9,15 @@ use core::borrow::Borrow;
#[cfg(test)]
mod tests;
// MERKLE STORE
// ================================================================================================
/// A default [MerkleStore] which uses a simple [BTreeMap] as the backing storage.
pub type DefaultMerkleStore = MerkleStore<BTreeMap<RpoDigest, Node>>;
/// A [MerkleStore] with recording capabilities which uses [RecordingMap] as the backing storage.
pub type RecordingMerkleStore = MerkleStore<RecordingMap<RpoDigest, Node>>;
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq)]
pub struct Node {
left: RpoDigest,
@ -42,7 +52,7 @@ pub struct Node {
/// # let T1 = MerkleTree::new([A, B, C, D, E, F, G, H1].to_vec()).expect("even number of leaves provided");
/// # let ROOT0 = T0.root();
/// # let ROOT1 = T1.root();
/// let mut store = MerkleStore::new();
/// let mut store: MerkleStore = MerkleStore::new();
///
/// // the store is initialized with the SMT empty nodes
/// assert_eq!(store.num_internal_nodes(), 255);
@ -51,9 +61,8 @@ pub struct Node {
/// let tree2 = MerkleTree::new(vec![A, B, C, D, E, F, G, H1]).unwrap();
///
/// // populates the store with two merkle trees, common nodes are shared
/// store
/// .extend(tree1.inner_nodes())
/// .extend(tree2.inner_nodes());
/// store.extend(tree1.inner_nodes());
/// store.extend(tree2.inner_nodes());
///
/// // every leaf except the last are the same
/// for i in 0..7 {
@ -78,40 +87,24 @@ pub struct Node {
/// assert_eq!(store.num_internal_nodes() - 255, 10);
/// ```
#[derive(Debug, Clone, Eq, PartialEq)]
pub struct MerkleStore {
nodes: BTreeMap<RpoDigest, Node>,
pub struct MerkleStore<T: KvMap<RpoDigest, Node> = BTreeMap<RpoDigest, Node>> {
nodes: T,
}
impl Default for MerkleStore {
impl<T: KvMap<RpoDigest, Node>> Default for MerkleStore<T> {
fn default() -> Self {
Self::new()
}
}
impl MerkleStore {
impl<T: KvMap<RpoDigest, Node>> MerkleStore<T> {
// CONSTRUCTORS
// --------------------------------------------------------------------------------------------
/// Creates an empty `MerkleStore` instance.
pub fn new() -> MerkleStore {
pub fn new() -> MerkleStore<T> {
// pre-populate the store with the empty hashes
let subtrees = EmptySubtreeRoots::empty_hashes(255);
let nodes = subtrees
.iter()
.rev()
.copied()
.zip(subtrees.iter().rev().skip(1).copied())
.map(|(child, parent)| {
(
parent,
Node {
left: child,
right: child,
},
)
})
.collect();
let nodes = empty_hashes().into_iter().collect();
MerkleStore { nodes }
}
@ -126,10 +119,10 @@ impl MerkleStore {
/// Returns the node at `index` rooted on the tree `root`.
///
/// # Errors
///
/// This method can return the following errors:
/// - `RootNotInStore` if the `root` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in
/// the store.
pub fn get_node(&self, root: RpoDigest, index: NodeIndex) -> Result<RpoDigest, MerkleError> {
let mut hash = root;
@ -153,7 +146,8 @@ impl MerkleStore {
/// # Errors
/// This method can return the following errors:
/// - `RootNotInStore` if the `root` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in
/// the store.
pub fn get_path(&self, root: RpoDigest, index: NodeIndex) -> Result<ValuePath, MerkleError> {
let mut hash = root;
let mut path = Vec::with_capacity(index.depth().into());
@ -197,7 +191,7 @@ impl MerkleStore {
/// - The path from the root continues to a depth greater than `tree_depth`.
/// - The provided `tree_depth` is greater than `64.
/// - The provided `index` is not valid for a depth equivalent to `tree_depth`. For more
/// information, check [NodeIndex::new].
/// information, check [NodeIndex::new].
pub fn get_leaf_depth(
&self,
root: RpoDigest,
@ -261,7 +255,7 @@ impl MerkleStore {
/// nodes which are descendants of the specified roots.
///
/// The roots for which no descendants exist in this Merkle store are ignored.
pub fn subset<I, R>(&self, roots: I) -> MerkleStore
pub fn subset<I, R>(&self, roots: I) -> MerkleStore<T>
where
I: Iterator<Item = R>,
R: Borrow<RpoDigest>,
@ -286,23 +280,6 @@ impl MerkleStore {
// STATE MUTATORS
// --------------------------------------------------------------------------------------------
/// Adds a sequence of nodes yielded by the provided iterator into the store.
pub fn extend<I>(&mut self, iter: I) -> &mut MerkleStore
where
I: Iterator<Item = InnerNodeInfo>,
{
for node in iter {
let value: RpoDigest = node.value;
let left: RpoDigest = node.left;
let right: RpoDigest = node.right;
debug_assert_eq!(Rpo256::merge(&[left, right]), value);
self.nodes.insert(value, Node { left, right });
}
self
}
/// Adds all the nodes of a Merkle path represented by `path`, opening to `node`. Returns the
/// new root.
///
@ -360,10 +337,10 @@ impl MerkleStore {
/// Sets a node to `value`.
///
/// # Errors
///
/// This method can return the following errors:
/// - `RootNotInStore` if the `root` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in
/// the store.
pub fn set_node(
&mut self,
mut root: RpoDigest,
@ -401,6 +378,14 @@ impl MerkleStore {
Ok(parent)
}
// DESTRUCTURING
// --------------------------------------------------------------------------------------------
/// Returns the inner storage of this MerkleStore while consuming `self`.
pub fn into_inner(self) -> T {
self.nodes
}
// HELPER METHODS
// --------------------------------------------------------------------------------------------
@ -423,52 +408,69 @@ impl MerkleStore {
// CONVERSIONS
// ================================================================================================
impl From<&MerkleTree> for MerkleStore {
impl<T: KvMap<RpoDigest, Node>> From<&MerkleTree> for MerkleStore<T> {
fn from(value: &MerkleTree) -> Self {
let mut store = MerkleStore::new();
store.extend(value.inner_nodes());
store
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
impl From<&SimpleSmt> for MerkleStore {
impl<T: KvMap<RpoDigest, Node>> From<&SimpleSmt> for MerkleStore<T> {
fn from(value: &SimpleSmt) -> Self {
let mut store = MerkleStore::new();
store.extend(value.inner_nodes());
store
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
impl From<&Mmr> for MerkleStore {
impl<T: KvMap<RpoDigest, Node>> From<&Mmr> for MerkleStore<T> {
fn from(value: &Mmr) -> Self {
let mut store = MerkleStore::new();
store.extend(value.inner_nodes());
store
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
impl From<&TieredSmt> for MerkleStore {
impl<T: KvMap<RpoDigest, Node>> From<&TieredSmt> for MerkleStore<T> {
fn from(value: &TieredSmt) -> Self {
let mut store = MerkleStore::new();
store.extend(value.inner_nodes());
store
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
impl FromIterator<InnerNodeInfo> for MerkleStore {
fn from_iter<T: IntoIterator<Item = InnerNodeInfo>>(iter: T) -> Self {
let mut store = MerkleStore::new();
store.extend(iter.into_iter());
store
impl<T: KvMap<RpoDigest, Node>> From<T> for MerkleStore<T> {
fn from(values: T) -> Self {
let nodes = values.into_iter().chain(empty_hashes().into_iter()).collect();
Self { nodes }
}
}
impl<T: KvMap<RpoDigest, Node>> FromIterator<InnerNodeInfo> for MerkleStore<T> {
fn from_iter<I: IntoIterator<Item = InnerNodeInfo>>(iter: I) -> Self {
let nodes = combine_nodes_with_empty_hashes(iter.into_iter()).collect();
Self { nodes }
}
}
impl<T: KvMap<RpoDigest, Node>> FromIterator<(RpoDigest, Node)> for MerkleStore<T> {
fn from_iter<I: IntoIterator<Item = (RpoDigest, Node)>>(iter: I) -> Self {
let nodes = iter.into_iter().chain(empty_hashes().into_iter()).collect();
Self { nodes }
}
}
// ITERATORS
// ================================================================================================
impl Extend<InnerNodeInfo> for MerkleStore {
fn extend<T: IntoIterator<Item = InnerNodeInfo>>(&mut self, iter: T) {
self.extend(iter.into_iter());
impl<T: KvMap<RpoDigest, Node>> Extend<InnerNodeInfo> for MerkleStore<T> {
fn extend<I: IntoIterator<Item = InnerNodeInfo>>(&mut self, iter: I) {
self.nodes.extend(iter.into_iter().map(|info| {
(
info.value,
Node {
left: info.left,
right: info.right,
},
)
}));
}
}
@ -490,7 +492,7 @@ impl Deserializable for Node {
}
}
impl Serializable for MerkleStore {
impl<T: KvMap<RpoDigest, Node>> Serializable for MerkleStore<T> {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_u64(self.nodes.len() as u64);
@ -501,17 +503,55 @@ impl Serializable for MerkleStore {
}
}
impl Deserializable for MerkleStore {
impl<T: KvMap<RpoDigest, Node>> Deserializable for MerkleStore<T> {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let len = source.read_u64()?;
let mut nodes: BTreeMap<RpoDigest, Node> = BTreeMap::new();
let mut nodes: Vec<(RpoDigest, Node)> = Vec::with_capacity(len as usize);
for _ in 0..len {
let key = RpoDigest::read_from(source)?;
let value = Node::read_from(source)?;
nodes.insert(key, value);
nodes.push((key, value));
}
Ok(MerkleStore { nodes })
Ok(nodes.into_iter().collect())
}
}
// HELPER FUNCTIONS
// ================================================================================================
/// Creates empty hashes for all the subtrees of a tree with a max depth of 255.
fn empty_hashes() -> impl IntoIterator<Item = (RpoDigest, Node)> {
let subtrees = EmptySubtreeRoots::empty_hashes(255);
subtrees.iter().rev().copied().zip(subtrees.iter().rev().skip(1).copied()).map(
|(child, parent)| {
(
parent,
Node {
left: child,
right: child,
},
)
},
)
}
/// Consumes an iterator of [InnerNodeInfo] and returns an iterator of `(value, node)` tuples
/// which includes the nodes associate with roots of empty subtrees up to a depth of 255.
fn combine_nodes_with_empty_hashes(
nodes: impl IntoIterator<Item = InnerNodeInfo>,
) -> impl Iterator<Item = (RpoDigest, Node)> {
nodes
.into_iter()
.map(|info| {
(
info.value,
Node {
left: info.left,
right: info.right,
},
)
})
.chain(empty_hashes().into_iter())
}

+ 58
- 3
src/merkle/store/tests.rs

@ -1,13 +1,16 @@
use super::{
Deserializable, EmptySubtreeRoots, MerkleError, MerklePath, MerkleStore, NodeIndex, RpoDigest,
Serializable,
DefaultMerkleStore as MerkleStore, EmptySubtreeRoots, MerkleError, MerklePath, NodeIndex,
RecordingMerkleStore, RpoDigest,
};
use crate::{
hash::rpo::Rpo256,
merkle::{digests_to_words, int_to_leaf, int_to_node, MerklePathSet, MerkleTree, SimpleSmt},
Felt, Word, WORD_SIZE,
Felt, Word, ONE, WORD_SIZE, ZERO,
};
#[cfg(feature = "std")]
use super::{Deserializable, Serializable};
#[cfg(feature = "std")]
use std::error::Error;
@ -17,6 +20,7 @@ use std::error::Error;
const KEYS4: [u64; 4] = [0, 1, 2, 3];
const VALUES4: [RpoDigest; 4] = [int_to_node(1), int_to_node(2), int_to_node(3), int_to_node(4)];
const KEYS8: [u64; 8] = [0, 1, 2, 3, 4, 5, 6, 7];
const VALUES8: [RpoDigest; 8] = [
int_to_node(1),
int_to_node(2),
@ -810,3 +814,54 @@ fn test_serialization() -> Result<(), Box> {
assert_eq!(store, decoded);
Ok(())
}
// MERKLE RECORDER
// ================================================================================================
#[test]
fn test_recorder() {
// instantiate recorder from MerkleTree and SimpleSmt
let mtree = MerkleTree::new(digests_to_words(&VALUES4)).unwrap();
let smtree = SimpleSmt::with_leaves(
64,
KEYS8.into_iter().zip(VALUES8.into_iter().map(|x| x.into()).rev()),
)
.unwrap();
let mut recorder: RecordingMerkleStore =
mtree.inner_nodes().chain(smtree.inner_nodes()).collect();
// get nodes from both trees and make sure they are correct
let index_0 = NodeIndex::new(mtree.depth(), 0).unwrap();
let node = recorder.get_node(mtree.root(), index_0).unwrap();
assert_eq!(node, mtree.get_node(index_0).unwrap());
let index_1 = NodeIndex::new(smtree.depth(), 1).unwrap();
let node = recorder.get_node(smtree.root(), index_1).unwrap();
assert_eq!(node, smtree.get_node(index_1).unwrap());
// insert a value and assert that when we request it next time it is accurate
let new_value = [ZERO, ZERO, ONE, ONE].into();
let index_2 = NodeIndex::new(smtree.depth(), 2).unwrap();
let root = recorder.set_node(smtree.root(), index_2, new_value).unwrap().root;
assert_eq!(recorder.get_node(root, index_2).unwrap(), new_value);
// construct the proof
let rec_map = recorder.into_inner();
let proof = rec_map.into_proof();
let merkle_store: MerkleStore = proof.into();
// make sure the proof contains all nodes from both trees
let node = merkle_store.get_node(mtree.root(), index_0).unwrap();
assert_eq!(node, mtree.get_node(index_0).unwrap());
let node = merkle_store.get_node(smtree.root(), index_1).unwrap();
assert_eq!(node, smtree.get_node(index_1).unwrap());
let node = merkle_store.get_node(smtree.root(), index_2).unwrap();
assert_eq!(node, smtree.get_leaf(index_2.value()).unwrap().into());
// assert that is doesnt contain nodes that were not recorded
let not_recorded_index = NodeIndex::new(smtree.depth(), 4).unwrap();
assert!(merkle_store.get_node(smtree.root(), not_recorded_index).is_err());
assert!(smtree.get_node(not_recorded_index).is_ok());
}

+ 324
- 0
src/utils/kv_map.rs

@ -0,0 +1,324 @@
use core::cell::RefCell;
use winter_utils::{
collections::{btree_map::IntoIter, BTreeMap, BTreeSet},
Box,
};
// KEY-VALUE MAP TRAIT
// ================================================================================================
/// A trait that defines the interface for a key-value map.
pub trait KvMap<K: Ord + Clone, V: Clone>:
Extend<(K, V)> + FromIterator<(K, V)> + IntoIterator<Item = (K, V)>
{
fn get(&self, key: &K) -> Option<&V>;
fn contains_key(&self, key: &K) -> bool;
fn len(&self) -> usize;
fn is_empty(&self) -> bool {
self.len() == 0
}
fn insert(&mut self, key: K, value: V) -> Option<V>;
fn iter(&self) -> Box<dyn Iterator<Item = (&K, &V)> + '_>;
}
// BTREE MAP `KvMap` IMPLEMENTATION
// ================================================================================================
impl<K: Ord + Clone, V: Clone> KvMap<K, V> for BTreeMap<K, V> {
fn get(&self, key: &K) -> Option<&V> {
self.get(key)
}
fn contains_key(&self, key: &K) -> bool {
self.contains_key(key)
}
fn len(&self) -> usize {
self.len()
}
fn insert(&mut self, key: K, value: V) -> Option<V> {
self.insert(key, value)
}
fn iter(&self) -> Box<dyn Iterator<Item = (&K, &V)> + '_> {
Box::new(self.iter())
}
}
// RECORDING MAP
// ================================================================================================
/// A [RecordingMap] that records read requests to the underlying key-value map.
///
/// The data recorder is used to generate a proof for read requests.
///
/// The [RecordingMap] is composed of three parts:
/// - `data`: which contains the current set of key-value pairs in the map.
/// - `updates`: which tracks keys for which values have been since the map was instantiated.
/// updates include both insertions and updates of values under existing keys.
/// - `trace`: which contains the key-value pairs from the original data which have been accesses
/// since the map was instantiated.
#[derive(Debug, Default, Clone, Eq, PartialEq)]
pub struct RecordingMap<K, V> {
data: BTreeMap<K, V>,
updates: BTreeSet<K>,
trace: RefCell<BTreeMap<K, V>>,
}
impl<K: Ord + Clone, V: Clone> RecordingMap<K, V> {
// CONSTRUCTOR
// --------------------------------------------------------------------------------------------
/// Returns a new [RecordingMap] instance initialized with the provided key-value pairs.
/// ([BTreeMap]).
pub fn new(init: impl IntoIterator<Item = (K, V)>) -> Self {
RecordingMap {
data: init.into_iter().collect(),
updates: BTreeSet::new(),
trace: RefCell::new(BTreeMap::new()),
}
}
// FINALIZER
// --------------------------------------------------------------------------------------------
/// Consumes the [RecordingMap] and returns a [BTreeMap] containing the key-value pairs from
/// the initial data set that were read during recording.
pub fn into_proof(self) -> BTreeMap<K, V> {
self.trace.take()
}
// TEST HELPERS
// --------------------------------------------------------------------------------------------
#[cfg(test)]
pub fn trace_len(&self) -> usize {
self.trace.borrow().len()
}
#[cfg(test)]
pub fn updates_len(&self) -> usize {
self.updates.len()
}
}
impl<K: Ord + Clone, V: Clone> KvMap<K, V> for RecordingMap<K, V> {
// PUBLIC ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns a reference to the value associated with the given key if the value exists.
///
/// If the key is part of the initial data set, the key access is recorded.
fn get(&self, key: &K) -> Option<&V> {
self.data.get(key).map(|value| {
if !self.updates.contains(key) {
self.trace.borrow_mut().insert(key.clone(), value.clone());
}
value
})
}
/// Returns a boolean to indicate whether the given key exists in the data set.
///
/// If the key is part of the initial data set, the key access is recorded.
fn contains_key(&self, key: &K) -> bool {
self.get(key).is_some()
}
/// Returns the number of key-value pairs in the data set.
fn len(&self) -> usize {
self.data.len()
}
// MUTATORS
// --------------------------------------------------------------------------------------------
/// Inserts a key-value pair into the data set.
///
/// If the key already exists in the data set, the value is updated and the old value is
/// returned.
fn insert(&mut self, key: K, value: V) -> Option<V> {
let new_update = self.updates.insert(key.clone());
self.data.insert(key.clone(), value).map(|old_value| {
if new_update {
self.trace.borrow_mut().insert(key, old_value.clone());
}
old_value
})
}
// ITERATION
// --------------------------------------------------------------------------------------------
/// Returns an iterator over the key-value pairs in the data set.
fn iter(&self) -> Box<dyn Iterator<Item = (&K, &V)> + '_> {
Box::new(self.data.iter())
}
}
impl<K: Clone + Ord, V: Clone> Extend<(K, V)> for RecordingMap<K, V> {
fn extend<T: IntoIterator<Item = (K, V)>>(&mut self, iter: T) {
iter.into_iter().for_each(move |(k, v)| {
self.insert(k, v);
});
}
}
impl<K: Clone + Ord, V: Clone> FromIterator<(K, V)> for RecordingMap<K, V> {
fn from_iter<T: IntoIterator<Item = (K, V)>>(iter: T) -> Self {
Self::new(iter)
}
}
impl<K: Clone + Ord, V: Clone> IntoIterator for RecordingMap<K, V> {
type Item = (K, V);
type IntoIter = IntoIter<K, V>;
fn into_iter(self) -> Self::IntoIter {
self.data.into_iter()
}
}
// TESTS
// ================================================================================================
#[cfg(test)]
mod tests {
use super::*;
const ITEMS: [(u64, u64); 5] = [(0, 0), (1, 1), (2, 2), (3, 3), (4, 4)];
#[test]
fn test_get_item() {
// instantiate a recording map
let map = RecordingMap::new(ITEMS.to_vec());
// get a few items
let get_items = [0, 1, 2];
for key in get_items.iter() {
map.get(key);
}
// convert the map into a proof
let proof = map.into_proof();
// check that the proof contains the expected values
for (key, value) in ITEMS.iter() {
match get_items.contains(key) {
true => assert_eq!(proof.get(key), Some(value)),
false => assert_eq!(proof.get(key), None),
}
}
}
#[test]
fn test_contains_key() {
// instantiate a recording map
let map = RecordingMap::new(ITEMS.to_vec());
// check if the map contains a few items
let get_items = [0, 1, 2];
for key in get_items.iter() {
map.contains_key(key);
}
// convert the map into a proof
let proof = map.into_proof();
// check that the proof contains the expected values
for (key, _) in ITEMS.iter() {
match get_items.contains(key) {
true => assert_eq!(proof.contains_key(key), true),
false => assert_eq!(proof.contains_key(key), false),
}
}
}
#[test]
fn test_len() {
// instantiate a recording map
let mut map = RecordingMap::new(ITEMS.to_vec());
// length of the map should be equal to the number of items
assert_eq!(map.len(), ITEMS.len());
// inserting entry with key that already exists should not change the length, but it does
// add entries to the trace and update sets
map.insert(4, 5);
assert_eq!(map.len(), ITEMS.len());
assert_eq!(map.trace_len(), 1);
assert_eq!(map.updates_len(), 1);
// inserting entry with new key should increase the length; it should also record the key
// as an updated key, but the trace length does not change since old values were not touched
map.insert(5, 5);
assert_eq!(map.len(), ITEMS.len() + 1);
assert_eq!(map.trace_len(), 1);
assert_eq!(map.updates_len(), 2);
// get some items so that they are saved in the trace; this should record original items
// in the trace, but should not affect the set of updates
let get_items = [0, 1, 2];
for key in get_items.iter() {
map.contains_key(key);
}
assert_eq!(map.trace_len(), 4);
assert_eq!(map.updates_len(), 2);
// read the same items again, this should not have any effect on either length, trace, or
// the set of updates
let get_items = [0, 1, 2];
for key in get_items.iter() {
map.contains_key(key);
}
assert_eq!(map.trace_len(), 4);
assert_eq!(map.updates_len(), 2);
// read a newly inserted item; this should not affect either length, trace, or the set of
// updates
let _val = map.get(&5).unwrap();
assert_eq!(map.trace_len(), 4);
assert_eq!(map.updates_len(), 2);
// update a newly inserted item; this should not affect either length, trace, or the set
// of updates
map.insert(5, 11);
assert_eq!(map.trace_len(), 4);
assert_eq!(map.updates_len(), 2);
// Note: The length reported by the proof will be different to the length originally
// reported by the map.
let proof = map.into_proof();
// length of the proof should be equal to get_items + 1. The extra item is the original
// value at key = 4u64
assert_eq!(proof.len(), get_items.len() + 1);
}
#[test]
fn test_iter() {
let mut map = RecordingMap::new(ITEMS.to_vec());
assert!(map.iter().all(|(x, y)| ITEMS.contains(&(*x, *y))));
// when inserting entry with key that already exists the iterator should return the new value
let new_value = 5;
map.insert(4, new_value);
assert_eq!(map.iter().count(), ITEMS.len());
assert!(map.iter().all(|(x, y)| if x == &4 {
y == &new_value
} else {
ITEMS.contains(&(*x, *y))
}));
}
#[test]
fn test_is_empty() {
// instantiate an empty recording map
let empty_map: RecordingMap<u64, u64> = RecordingMap::default();
assert!(empty_map.is_empty());
// instantiate a non-empty recording map
let map = RecordingMap::new(ITEMS.to_vec());
assert!(!map.is_empty());
}
}

src/utils.rs → src/utils/mod.rs

@ -1,5 +1,4 @@
use super::Word;
use crate::utils::string::String;
use super::{utils::string::String, Word};
use core::fmt::{self, Write};
#[cfg(not(feature = "std"))]
@ -8,13 +7,23 @@ pub use alloc::format;
#[cfg(feature = "std")]
pub use std::format;
mod kv_map;
// RE-EXPORTS
// ================================================================================================
pub use winter_utils::{
collections, string, uninit_vector, ByteReader, ByteWriter, Deserializable,
DeserializationError, Serializable, SliceReader,
string, uninit_vector, Box, ByteReader, ByteWriter, Deserializable, DeserializationError,
Serializable, SliceReader,
};
pub mod collections {
pub use super::kv_map::*;
pub use winter_utils::collections::*;
}
// UTILITY FUNCTIONS
// ================================================================================================
/// Converts a [Word] into hex.
pub fn word_to_hex(w: &Word) -> Result<String, fmt::Error> {
let mut s = String::new();

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