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miden-crypto/src/merkle/smt/full/mod.rs
src/merkle/smt/full/mod.rsRaw
  1use alloc::{
  2    collections::{BTreeMap, BTreeSet},
  3    string::ToString,
  4    vec::Vec,
  5};
  6
  7use super::{
  8    EmptySubtreeRoots, Felt, InnerNode, InnerNodeInfo, LeafIndex, MerkleError, MerklePath,
  9    MutationSet, NodeIndex, Rpo256, RpoDigest, SparseMerkleTree, Word, EMPTY_WORD,
 10};
 11
 12mod error;
 13pub use error::{SmtLeafError, SmtProofError};
 14
 15mod leaf;
 16pub use leaf::SmtLeaf;
 17
 18mod proof;
 19pub use proof::SmtProof;
 20use winter_utils::{ByteReader, ByteWriter, Deserializable, DeserializationError, Serializable};
 21
 22#[cfg(test)]
 23mod tests;
 24
 25// CONSTANTS
 26// ================================================================================================
 27
 28pub const SMT_DEPTH: u8 = 64;
 29
 30// SMT
 31// ================================================================================================
 32
 33/// Sparse Merkle tree mapping 256-bit keys to 256-bit values. Both keys and values are represented
 34/// by 4 field elements.
 35///
 36/// All leaves sit at depth 64. The most significant element of the key is used to identify the leaf
 37/// to which the key maps.
 38///
 39/// A leaf is either empty, or holds one or more key-value pairs. An empty leaf hashes to the empty
 40/// word. Otherwise, a leaf hashes to the hash of its key-value pairs, ordered by key first, value
 41/// second.
 42#[derive(Debug, Clone, PartialEq, Eq)]
 43#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
 44pub struct Smt {
 45    root: RpoDigest,
 46    leaves: BTreeMap<u64, SmtLeaf>,
 47    inner_nodes: BTreeMap<NodeIndex, InnerNode>,
 48}
 49
 50impl Smt {
 51    // CONSTANTS
 52    // --------------------------------------------------------------------------------------------
 53    /// The default value used to compute the hash of empty leaves
 54    pub const EMPTY_VALUE: Word = <Self as SparseMerkleTree<SMT_DEPTH>>::EMPTY_VALUE;
 55
 56    // CONSTRUCTORS
 57    // --------------------------------------------------------------------------------------------
 58
 59    /// Returns a new [Smt].
 60    ///
 61    /// All leaves in the returned tree are set to [Self::EMPTY_VALUE].
 62    pub fn new() -> Self {
 63        let root = *EmptySubtreeRoots::entry(SMT_DEPTH, 0);
 64
 65        Self {
 66            root,
 67            leaves: BTreeMap::new(),
 68            inner_nodes: BTreeMap::new(),
 69        }
 70    }
 71
 72    /// Returns a new [Smt] instantiated with leaves set as specified by the provided entries.
 73    ///
 74    /// All leaves omitted from the entries list are set to [Self::EMPTY_VALUE].
 75    ///
 76    /// # Errors
 77    /// Returns an error if the provided entries contain multiple values for the same key.
 78    pub fn with_entries(
 79        entries: impl IntoIterator<Item = (RpoDigest, Word)>,
 80    ) -> Result<Self, MerkleError> {
 81        // create an empty tree
 82        let mut tree = Self::new();
 83
 84        // This being a sparse data structure, the EMPTY_WORD is not assigned to the `BTreeMap`, so
 85        // entries with the empty value need additional tracking.
 86        let mut key_set_to_zero = BTreeSet::new();
 87
 88        for (key, value) in entries {
 89            let old_value = tree.insert(key, value);
 90
 91            if old_value != EMPTY_WORD || key_set_to_zero.contains(&key) {
 92                return Err(MerkleError::DuplicateValuesForIndex(
 93                    LeafIndex::<SMT_DEPTH>::from(key).value(),
 94                ));
 95            }
 96
 97            if value == EMPTY_WORD {
 98                key_set_to_zero.insert(key);
 99            };
100        }
101        Ok(tree)
102    }
103
104    // PUBLIC ACCESSORS
105    // --------------------------------------------------------------------------------------------
106
107    /// Returns the depth of the tree
108    pub const fn depth(&self) -> u8 {
109        SMT_DEPTH
110    }
111
112    /// Returns the root of the tree
113    pub fn root(&self) -> RpoDigest {
114        <Self as SparseMerkleTree<SMT_DEPTH>>::root(self)
115    }
116
117    /// Returns the leaf to which `key` maps
118    pub fn get_leaf(&self, key: &RpoDigest) -> SmtLeaf {
119        <Self as SparseMerkleTree<SMT_DEPTH>>::get_leaf(self, key)
120    }
121
122    /// Returns the value associated with `key`
123    pub fn get_value(&self, key: &RpoDigest) -> Word {
124        <Self as SparseMerkleTree<SMT_DEPTH>>::get_value(self, key)
125    }
126
127    /// Returns an opening of the leaf associated with `key`. Conceptually, an opening is a Merkle
128    /// path to the leaf, as well as the leaf itself.
129    pub fn open(&self, key: &RpoDigest) -> SmtProof {
130        <Self as SparseMerkleTree<SMT_DEPTH>>::open(self, key)
131    }
132
133    /// Returns a boolean value indicating whether the SMT is empty.
134    pub fn is_empty(&self) -> bool {
135        debug_assert_eq!(self.leaves.is_empty(), self.root == Self::EMPTY_ROOT);
136        self.root == Self::EMPTY_ROOT
137    }
138
139    // ITERATORS
140    // --------------------------------------------------------------------------------------------
141
142    /// Returns an iterator over the leaves of this [Smt].
143    pub fn leaves(&self) -> impl Iterator<Item = (LeafIndex<SMT_DEPTH>, &SmtLeaf)> {
144        self.leaves
145            .iter()
146            .map(|(leaf_index, leaf)| (LeafIndex::new_max_depth(*leaf_index), leaf))
147    }
148
149    /// Returns an iterator over the key-value pairs of this [Smt].
150    pub fn entries(&self) -> impl Iterator<Item = &(RpoDigest, Word)> {
151        self.leaves().flat_map(|(_, leaf)| leaf.entries())
152    }
153
154    /// Returns an iterator over the inner nodes of this [Smt].
155    pub fn inner_nodes(&self) -> impl Iterator<Item = InnerNodeInfo> + '_ {
156        self.inner_nodes.values().map(|e| InnerNodeInfo {
157            value: e.hash(),
158            left: e.left,
159            right: e.right,
160        })
161    }
162
163    // STATE MUTATORS
164    // --------------------------------------------------------------------------------------------
165
166    /// Inserts a value at the specified key, returning the previous value associated with that key.
167    /// Recall that by definition, any key that hasn't been updated is associated with
168    /// [`Self::EMPTY_VALUE`].
169    ///
170    /// This also recomputes all hashes between the leaf (associated with the key) and the root,
171    /// updating the root itself.
172    pub fn insert(&mut self, key: RpoDigest, value: Word) -> Word {
173        <Self as SparseMerkleTree<SMT_DEPTH>>::insert(self, key, value)
174    }
175
176    /// Computes what changes are necessary to insert the specified key-value pairs into this Merkle
177    /// tree, allowing for validation before applying those changes.
178    ///
179    /// This method returns a [`MutationSet`], which contains all the information for inserting
180    /// `kv_pairs` into this Merkle tree already calculated, including the new root hash, which can
181    /// be queried with [`MutationSet::root()`]. Once a mutation set is returned,
182    /// [`Smt::apply_mutations()`] can be called in order to commit these changes to the Merkle
183    /// tree, or [`drop()`] to discard them.
184    ///
185    /// # Example
186    /// ```
187    /// # use miden_crypto::{hash::rpo::RpoDigest, Felt, Word};
188    /// # use miden_crypto::merkle::{Smt, EmptySubtreeRoots, SMT_DEPTH};
189    /// let mut smt = Smt::new();
190    /// let pair = (RpoDigest::default(), Word::default());
191    /// let mutations = smt.compute_mutations(vec![pair]);
192    /// assert_eq!(mutations.root(), *EmptySubtreeRoots::entry(SMT_DEPTH, 0));
193    /// smt.apply_mutations(mutations);
194    /// assert_eq!(smt.root(), *EmptySubtreeRoots::entry(SMT_DEPTH, 0));
195    /// ```
196    pub fn compute_mutations(
197        &self,
198        kv_pairs: impl IntoIterator<Item = (RpoDigest, Word)>,
199    ) -> MutationSet<SMT_DEPTH, RpoDigest, Word> {
200        <Self as SparseMerkleTree<SMT_DEPTH>>::compute_mutations(self, kv_pairs)
201    }
202
203    /// Apply the prospective mutations computed with [`Smt::compute_mutations()`] to this tree.
204    ///
205    /// # Errors
206    /// If `mutations` was computed on a tree with a different root than this one, returns
207    /// [`MerkleError::ConflictingRoots`] with a two-item [`Vec`]. The first item is the root hash
208    /// the `mutations` were computed against, and the second item is the actual current root of
209    /// this tree.
210    pub fn apply_mutations(
211        &mut self,
212        mutations: MutationSet<SMT_DEPTH, RpoDigest, Word>,
213    ) -> Result<(), MerkleError> {
214        <Self as SparseMerkleTree<SMT_DEPTH>>::apply_mutations(self, mutations)
215    }
216
217    // HELPERS
218    // --------------------------------------------------------------------------------------------
219
220    /// Inserts `value` at leaf index pointed to by `key`. `value` is guaranteed to not be the empty
221    /// value, such that this is indeed an insertion.
222    fn perform_insert(&mut self, key: RpoDigest, value: Word) -> Option<Word> {
223        debug_assert_ne!(value, Self::EMPTY_VALUE);
224
225        let leaf_index: LeafIndex<SMT_DEPTH> = Self::key_to_leaf_index(&key);
226
227        match self.leaves.get_mut(&leaf_index.value()) {
228            Some(leaf) => leaf.insert(key, value),
229            None => {
230                self.leaves.insert(leaf_index.value(), SmtLeaf::Single((key, value)));
231
232                None
233            },
234        }
235    }
236
237    /// Removes key-value pair at leaf index pointed to by `key` if it exists.
238    fn perform_remove(&mut self, key: RpoDigest) -> Option<Word> {
239        let leaf_index: LeafIndex<SMT_DEPTH> = Self::key_to_leaf_index(&key);
240
241        if let Some(leaf) = self.leaves.get_mut(&leaf_index.value()) {
242            let (old_value, is_empty) = leaf.remove(key);
243            if is_empty {
244                self.leaves.remove(&leaf_index.value());
245            }
246            old_value
247        } else {
248            // there's nothing stored at the leaf; nothing to update
249            None
250        }
251    }
252}
253
254impl SparseMerkleTree<SMT_DEPTH> for Smt {
255    type Key = RpoDigest;
256    type Value = Word;
257    type Leaf = SmtLeaf;
258    type Opening = SmtProof;
259
260    const EMPTY_VALUE: Self::Value = EMPTY_WORD;
261    const EMPTY_ROOT: RpoDigest = *EmptySubtreeRoots::entry(SMT_DEPTH, 0);
262
263    fn root(&self) -> RpoDigest {
264        self.root
265    }
266
267    fn set_root(&mut self, root: RpoDigest) {
268        self.root = root;
269    }
270
271    fn get_inner_node(&self, index: NodeIndex) -> InnerNode {
272        self.inner_nodes
273            .get(&index)
274            .cloned()
275            .unwrap_or_else(|| EmptySubtreeRoots::get_inner_node(SMT_DEPTH, index.depth()))
276    }
277
278    fn insert_inner_node(&mut self, index: NodeIndex, inner_node: InnerNode) {
279        self.inner_nodes.insert(index, inner_node);
280    }
281
282    fn remove_inner_node(&mut self, index: NodeIndex) {
283        let _ = self.inner_nodes.remove(&index);
284    }
285
286    fn insert_value(&mut self, key: Self::Key, value: Self::Value) -> Option<Self::Value> {
287        // inserting an `EMPTY_VALUE` is equivalent to removing any value associated with `key`
288        if value != Self::EMPTY_VALUE {
289            self.perform_insert(key, value)
290        } else {
291            self.perform_remove(key)
292        }
293    }
294
295    fn get_value(&self, key: &Self::Key) -> Self::Value {
296        let leaf_pos = LeafIndex::<SMT_DEPTH>::from(*key).value();
297
298        match self.leaves.get(&leaf_pos) {
299            Some(leaf) => leaf.get_value(key).unwrap_or_default(),
300            None => EMPTY_WORD,
301        }
302    }
303
304    fn get_leaf(&self, key: &RpoDigest) -> Self::Leaf {
305        let leaf_pos = LeafIndex::<SMT_DEPTH>::from(*key).value();
306
307        match self.leaves.get(&leaf_pos) {
308            Some(leaf) => leaf.clone(),
309            None => SmtLeaf::new_empty(key.into()),
310        }
311    }
312
313    fn hash_leaf(leaf: &Self::Leaf) -> RpoDigest {
314        leaf.hash()
315    }
316
317    fn construct_prospective_leaf(
318        &self,
319        mut existing_leaf: SmtLeaf,
320        key: &RpoDigest,
321        value: &Word,
322    ) -> SmtLeaf {
323        debug_assert_eq!(existing_leaf.index(), Self::key_to_leaf_index(key));
324
325        match existing_leaf {
326            SmtLeaf::Empty(_) => SmtLeaf::new_single(*key, *value),
327            _ => {
328                if *value != EMPTY_WORD {
329                    existing_leaf.insert(*key, *value);
330                } else {
331                    existing_leaf.remove(*key);
332                }
333
334                existing_leaf
335            },
336        }
337    }
338
339    fn key_to_leaf_index(key: &RpoDigest) -> LeafIndex<SMT_DEPTH> {
340        let most_significant_felt = key[3];
341        LeafIndex::new_max_depth(most_significant_felt.as_int())
342    }
343
344    fn path_and_leaf_to_opening(path: MerklePath, leaf: SmtLeaf) -> SmtProof {
345        SmtProof::new_unchecked(path, leaf)
346    }
347}
348
349impl Default for Smt {
350    fn default() -> Self {
351        Self::new()
352    }
353}
354
355// CONVERSIONS
356// ================================================================================================
357
358impl From<Word> for LeafIndex<SMT_DEPTH> {
359    fn from(value: Word) -> Self {
360        // We use the most significant `Felt` of a `Word` as the leaf index.
361        Self::new_max_depth(value[3].as_int())
362    }
363}
364
365impl From<RpoDigest> for LeafIndex<SMT_DEPTH> {
366    fn from(value: RpoDigest) -> Self {
367        Word::from(value).into()
368    }
369}
370
371impl From<&RpoDigest> for LeafIndex<SMT_DEPTH> {
372    fn from(value: &RpoDigest) -> Self {
373        Word::from(value).into()
374    }
375}
376
377// SERIALIZATION
378// ================================================================================================
379
380impl Serializable for Smt {
381    fn write_into<W: ByteWriter>(&self, target: &mut W) {
382        // Write the number of filled leaves for this Smt
383        target.write_usize(self.entries().count());
384
385        // Write each (key, value) pair
386        for (key, value) in self.entries() {
387            target.write(key);
388            target.write(value);
389        }
390    }
391}
392
393impl Deserializable for Smt {
394    fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
395        // Read the number of filled leaves for this Smt
396        let num_filled_leaves = source.read_usize()?;
397        let mut entries = Vec::with_capacity(num_filled_leaves);
398
399        for _ in 0..num_filled_leaves {
400            let key = source.read()?;
401            let value = source.read()?;
402            entries.push((key, value));
403        }
404
405        Self::with_entries(entries)
406            .map_err(|err| DeserializationError::InvalidValue(err.to_string()))
407    }
408}
409
410#[test]
411fn test_smt_serialization_deserialization() {
412    // Smt for default types (empty map)
413    let smt_default = Smt::default();
414    let bytes = smt_default.to_bytes();
415    assert_eq!(smt_default, Smt::read_from_bytes(&bytes).unwrap());
416
417    // Smt with values
418    let smt_leaves_2: [(RpoDigest, Word); 2] = [
419        (
420            RpoDigest::new([Felt::new(101), Felt::new(102), Felt::new(103), Felt::new(104)]),
421            [Felt::new(1_u64), Felt::new(2_u64), Felt::new(3_u64), Felt::new(4_u64)],
422        ),
423        (
424            RpoDigest::new([Felt::new(105), Felt::new(106), Felt::new(107), Felt::new(108)]),
425            [Felt::new(5_u64), Felt::new(6_u64), Felt::new(7_u64), Felt::new(8_u64)],
426        ),
427    ];
428    let smt = Smt::with_entries(smt_leaves_2).unwrap();
429
430    let bytes = smt.to_bytes();
431    assert_eq!(smt, Smt::read_from_bytes(&bytes).unwrap());
432}