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miden-crypto/src/merkle/mmr/full.rs
src/merkle/mmr/full.rsRaw
  1//! A fully materialized Merkle mountain range (MMR).
  2//!
  3//! A MMR is a forest structure, i.e. it is an ordered set of disjoint rooted trees. The trees are
  4//! ordered by size, from the most to least number of leaves. Every tree is a perfect binary tree,
  5//! meaning a tree has all its leaves at the same depth, and every inner node has a branch-factor
  6//! of 2 with both children set.
  7//!
  8//! Additionally the structure only supports adding leaves to the right-most tree, the one with the
  9//! least number of leaves. The structure preserves the invariant that each tree has different
 10//! depths, i.e. as part of adding adding a new element to the forest the trees with same depth are
 11//! merged, creating a new tree with depth d+1, this process is continued until the property is
 12//! reestablished.
 13use super::{
 14    super::{InnerNodeInfo, MerklePath, Vec},
 15    bit::TrueBitPositionIterator,
 16    leaf_to_corresponding_tree, nodes_in_forest, MmrDelta, MmrError, MmrPeaks, MmrProof, Rpo256,
 17    RpoDigest,
 18};
 19
 20// MMR
 21// ===============================================================================================
 22
 23/// A fully materialized Merkle Mountain Range, with every tree in the forest and all their
 24/// elements.
 25///
 26/// Since this is a full representation of the MMR, elements are never removed and the MMR will
 27/// grow roughly `O(2n)` in number of leaf elements.
 28#[derive(Debug, Clone)]
 29#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
 30pub struct Mmr {
 31    /// Refer to the `forest` method documentation for details of the semantics of this value.
 32    pub(super) forest: usize,
 33
 34    /// Contains every element of the forest.
 35    ///
 36    /// The trees are in postorder sequential representation. This representation allows for all
 37    /// the elements of every tree in the forest to be stored in the same sequential buffer. It
 38    /// also means new elements can be added to the forest, and merging of trees is very cheap with
 39    /// no need to copy elements.
 40    pub(super) nodes: Vec<RpoDigest>,
 41}
 42
 43impl Default for Mmr {
 44    fn default() -> Self {
 45        Self::new()
 46    }
 47}
 48
 49impl Mmr {
 50    // CONSTRUCTORS
 51    // ============================================================================================
 52
 53    /// Constructor for an empty `Mmr`.
 54    pub fn new() -> Mmr {
 55        Mmr { forest: 0, nodes: Vec::new() }
 56    }
 57
 58    // ACCESSORS
 59    // ============================================================================================
 60
 61    /// Returns the MMR forest representation.
 62    ///
 63    /// The forest value has the following interpretations:
 64    /// - its value is the number of elements in the forest
 65    /// - bit count corresponds to the number of trees in the forest
 66    /// - each true bit position determines the depth of a tree in the forest
 67    pub const fn forest(&self) -> usize {
 68        self.forest
 69    }
 70
 71    // FUNCTIONALITY
 72    // ============================================================================================
 73
 74    /// Given a leaf position, returns the Merkle path to its corresponding peak. If the position
 75    /// is greater-or-equal than the tree size an error is returned.
 76    ///
 77    /// Note: The leaf position is the 0-indexed number corresponding to the order the leaves were
 78    /// added, this corresponds to the MMR size _prior_ to adding the element. So the 1st element
 79    /// has position 0, the second position 1, and so on.
 80    pub fn open(&self, pos: usize) -> Result<MmrProof, MmrError> {
 81        // find the target tree responsible for the MMR position
 82        let tree_bit =
 83            leaf_to_corresponding_tree(pos, self.forest).ok_or(MmrError::InvalidPosition(pos))?;
 84
 85        // isolate the trees before the target
 86        let forest_before = self.forest & high_bitmask(tree_bit + 1);
 87        let index_offset = nodes_in_forest(forest_before);
 88
 89        // update the value position from global to the target tree
 90        let relative_pos = pos - forest_before;
 91
 92        // collect the path and the final index of the target value
 93        let (_, path) = self.collect_merkle_path_and_value(tree_bit, relative_pos, index_offset);
 94
 95        Ok(MmrProof {
 96            forest: self.forest,
 97            position: pos,
 98            merkle_path: MerklePath::new(path),
 99        })
100    }
101
102    /// Returns the leaf value at position `pos`.
103    ///
104    /// Note: The leaf position is the 0-indexed number corresponding to the order the leaves were
105    /// added, this corresponds to the MMR size _prior_ to adding the element. So the 1st element
106    /// has position 0, the second position 1, and so on.
107    pub fn get(&self, pos: usize) -> Result<RpoDigest, MmrError> {
108        // find the target tree responsible for the MMR position
109        let tree_bit =
110            leaf_to_corresponding_tree(pos, self.forest).ok_or(MmrError::InvalidPosition(pos))?;
111
112        // isolate the trees before the target
113        let forest_before = self.forest & high_bitmask(tree_bit + 1);
114        let index_offset = nodes_in_forest(forest_before);
115
116        // update the value position from global to the target tree
117        let relative_pos = pos - forest_before;
118
119        // collect the path and the final index of the target value
120        let (value, _) = self.collect_merkle_path_and_value(tree_bit, relative_pos, index_offset);
121
122        Ok(value)
123    }
124
125    /// Adds a new element to the MMR.
126    pub fn add(&mut self, el: RpoDigest) {
127        // Note: every node is also a tree of size 1, adding an element to the forest creates a new
128        // rooted-tree of size 1. This may temporarily break the invariant that every tree in the
129        // forest has different sizes, the loop below will eagerly merge trees of same size and
130        // restore the invariant.
131        self.nodes.push(el);
132
133        let mut left_offset = self.nodes.len().saturating_sub(2);
134        let mut right = el;
135        let mut left_tree = 1;
136        while self.forest & left_tree != 0 {
137            right = Rpo256::merge(&[self.nodes[left_offset], right]);
138            self.nodes.push(right);
139
140            left_offset = left_offset.saturating_sub(nodes_in_forest(left_tree));
141            left_tree <<= 1;
142        }
143
144        self.forest += 1;
145    }
146
147    /// Returns an accumulator representing the current state of the MMR.
148    pub fn accumulator(&self) -> MmrPeaks {
149        let peaks: Vec<RpoDigest> = TrueBitPositionIterator::new(self.forest)
150            .rev()
151            .map(|bit| nodes_in_forest(1 << bit))
152            .scan(0, |offset, el| {
153                *offset += el;
154                Some(*offset)
155            })
156            .map(|offset| self.nodes[offset - 1])
157            .collect();
158
159        // Safety: the invariant is maintained by the [Mmr]
160        MmrPeaks::new(self.forest, peaks).unwrap()
161    }
162
163    /// Compute the required update to `original_forest`.
164    ///
165    /// The result is a packed sequence of the authentication elements required to update the trees
166    /// that have been merged together, followed by the new peaks of the [Mmr].
167    pub fn get_delta(&self, from_forest: usize, to_forest: usize) -> Result<MmrDelta, MmrError> {
168        if to_forest > self.forest || from_forest > to_forest {
169            return Err(MmrError::InvalidPeaks);
170        }
171
172        if from_forest == to_forest {
173            return Ok(MmrDelta { forest: to_forest, data: Vec::new() });
174        }
175
176        let mut result = Vec::new();
177
178        // Find the largest tree in this [Mmr] which is new to `from_forest`.
179        let candidate_trees = to_forest ^ from_forest;
180        let mut new_high = 1 << candidate_trees.ilog2();
181
182        // Collect authentication nodes used for tree merges
183        // ----------------------------------------------------------------------------------------
184
185        // Find the trees from `from_forest` that have been merged into `new_high`.
186        let mut merges = from_forest & (new_high - 1);
187
188        // Find the peaks that are common to `from_forest` and this [Mmr]
189        let common_trees = from_forest ^ merges;
190
191        if merges != 0 {
192            // Skip the smallest trees unknown to `from_forest`.
193            let mut target = 1 << merges.trailing_zeros();
194
195            // Collect siblings required to computed the merged tree's peak
196            while target < new_high {
197                // Computes the offset to the smallest know peak
198                // - common_trees: peaks unchanged in the current update, target comes after these.
199                // - merges: peaks that have not been merged so far, target comes after these.
200                // - target: tree from which to load the sibling. On the first iteration this is a
201                //   value known by the partial mmr, on subsequent iterations this value is to be
202                //   computed from the known peaks and provided authentication nodes.
203                let known = nodes_in_forest(common_trees | merges | target);
204                let sibling = nodes_in_forest(target);
205                result.push(self.nodes[known + sibling - 1]);
206
207                // Update the target and account for tree merges
208                target <<= 1;
209                while merges & target != 0 {
210                    target <<= 1;
211                }
212                // Remove the merges done so far
213                merges ^= merges & (target - 1);
214            }
215        } else {
216            // The new high tree may not be the result of any merges, if it is smaller than all the
217            // trees of `from_forest`.
218            new_high = 0;
219        }
220
221        // Collect the new [Mmr] peaks
222        // ----------------------------------------------------------------------------------------
223
224        let mut new_peaks = to_forest ^ common_trees ^ new_high;
225        let old_peaks = to_forest ^ new_peaks;
226        let mut offset = nodes_in_forest(old_peaks);
227        while new_peaks != 0 {
228            let target = 1 << new_peaks.ilog2();
229            offset += nodes_in_forest(target);
230            result.push(self.nodes[offset - 1]);
231            new_peaks ^= target;
232        }
233
234        Ok(MmrDelta { forest: to_forest, data: result })
235    }
236
237    /// An iterator over inner nodes in the MMR. The order of iteration is unspecified.
238    pub fn inner_nodes(&self) -> MmrNodes {
239        MmrNodes {
240            mmr: self,
241            forest: 0,
242            last_right: 0,
243            index: 0,
244        }
245    }
246
247    // UTILITIES
248    // ============================================================================================
249
250    /// Internal function used to collect the Merkle path of a value.
251    ///
252    /// The arguments are relative to the target tree. To compute the opening of the second leaf
253    /// for a tree with depth 2 in the forest `0b110`:
254    ///
255    /// - `tree_bit`: Depth of the target tree, e.g. 2 for the smallest tree.
256    /// - `relative_pos`: 0-indexed leaf position in the target tree, e.g. 1 for the second leaf.
257    /// - `index_offset`: Node count prior to the target tree, e.g. 7 for the tree of depth 3.
258    fn collect_merkle_path_and_value(
259        &self,
260        tree_bit: u32,
261        relative_pos: usize,
262        index_offset: usize,
263    ) -> (RpoDigest, Vec<RpoDigest>) {
264        // see documentation of `leaf_to_corresponding_tree` for details
265        let tree_depth = (tree_bit + 1) as usize;
266        let mut path = Vec::with_capacity(tree_depth);
267
268        // The tree walk below goes from the root to the leaf, compute the root index to start
269        let mut forest_target = 1usize << tree_bit;
270        let mut index = nodes_in_forest(forest_target) - 1;
271
272        // Loop until the leaf is reached
273        while forest_target > 1 {
274            // Update the depth of the tree to correspond to a subtree
275            forest_target >>= 1;
276
277            // compute the indeces of the right and left subtrees based on the post-order
278            let right_offset = index - 1;
279            let left_offset = right_offset - nodes_in_forest(forest_target);
280
281            let left_or_right = relative_pos & forest_target;
282            let sibling = if left_or_right != 0 {
283                // going down the right subtree, the right child becomes the new root
284                index = right_offset;
285                // and the left child is the authentication
286                self.nodes[index_offset + left_offset]
287            } else {
288                index = left_offset;
289                self.nodes[index_offset + right_offset]
290            };
291
292            path.push(sibling);
293        }
294
295        debug_assert!(path.len() == tree_depth - 1);
296
297        // the rest of the codebase has the elements going from leaf to root, adjust it here for
298        // easy of use/consistency sake
299        path.reverse();
300
301        let value = self.nodes[index_offset + index];
302        (value, path)
303    }
304}
305
306// CONVERSIONS
307// ================================================================================================
308
309impl<T> From<T> for Mmr
310where
311    T: IntoIterator<Item = RpoDigest>,
312{
313    fn from(values: T) -> Self {
314        let mut mmr = Mmr::new();
315        for v in values {
316            mmr.add(v)
317        }
318        mmr
319    }
320}
321
322// ITERATOR
323// ===============================================================================================
324
325/// Yields inner nodes of the [Mmr].
326pub struct MmrNodes<'a> {
327    /// [Mmr] being yielded, when its `forest` value is matched, the iterations is finished.
328    mmr: &'a Mmr,
329    /// Keeps track of the left nodes yielded so far waiting for a right pair, this matches the
330    /// semantics of the [Mmr]'s forest attribute, since that too works as a buffer of left nodes
331    /// waiting for a pair to be hashed together.
332    forest: usize,
333    /// Keeps track of the last right node yielded, after this value is set, the next iteration
334    /// will be its parent with its corresponding left node that has been yield already.
335    last_right: usize,
336    /// The current index in the `nodes` vector.
337    index: usize,
338}
339
340impl<'a> Iterator for MmrNodes<'a> {
341    type Item = InnerNodeInfo;
342
343    fn next(&mut self) -> Option<Self::Item> {
344        debug_assert!(self.last_right.count_ones() <= 1, "last_right tracks zero or one element");
345
346        // only parent nodes are emitted, remove the single node tree from the forest
347        let target = self.mmr.forest & (usize::MAX << 1);
348
349        if self.forest < target {
350            if self.last_right == 0 {
351                // yield the left leaf
352                debug_assert!(self.last_right == 0, "left must be before right");
353                self.forest |= 1;
354                self.index += 1;
355
356                // yield the right leaf
357                debug_assert!((self.forest & 1) == 1, "right must be after left");
358                self.last_right |= 1;
359                self.index += 1;
360            };
361
362            debug_assert!(
363                self.forest & self.last_right != 0,
364                "parent requires both a left and right",
365            );
366
367            // compute the number of nodes in the right tree, this is the offset to the
368            // previous left parent
369            let right_nodes = nodes_in_forest(self.last_right);
370            // the next parent position is one above the position of the pair
371            let parent = self.last_right << 1;
372
373            // the left node has been paired and the current parent yielded, removed it from the forest
374            self.forest ^= self.last_right;
375            if self.forest & parent == 0 {
376                // this iteration yielded the left parent node
377                debug_assert!(self.forest & 1 == 0, "next iteration yields a left leaf");
378                self.last_right = 0;
379                self.forest ^= parent;
380            } else {
381                // the left node of the parent level has been yielded already, this iteration
382                // was the right parent. Next iteration yields their parent.
383                self.last_right = parent;
384            }
385
386            // yields a parent
387            let value = self.mmr.nodes[self.index];
388            let right = self.mmr.nodes[self.index - 1];
389            let left = self.mmr.nodes[self.index - 1 - right_nodes];
390            self.index += 1;
391            let node = InnerNodeInfo { value, left, right };
392
393            Some(node)
394        } else {
395            None
396        }
397    }
398}
399
400// UTILITIES
401// ===============================================================================================
402
403/// Return a bitmask for the bits including and above the given position.
404pub(crate) const fn high_bitmask(bit: u32) -> usize {
405    if bit > usize::BITS - 1 {
406        0
407    } else {
408        usize::MAX << bit
409    }
410}