You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 

112 lines
4.6 KiB

use super::{
super::{RpoDigest, Vec, ZERO},
Felt, MmrError, MmrProof, Rpo256, Word,
};
#[derive(Debug, Clone, PartialEq)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct MmrPeaks {
/// The number of leaves is used to differentiate accumulators that have the same number of
/// peaks. This happens because the number of peaks goes up-and-down as the structure is used
/// causing existing trees to be merged and new ones to be created. As an example, every time
/// the [Mmr] has a power-of-two number of leaves there is a single peak.
///
/// Every tree in the [Mmr] forest has a distinct power-of-two size, this means only the right
/// most tree can have an odd number of elements (e.g. `1`). Additionally this means that the bits in
/// `num_leaves` conveniently encode the size of each individual tree.
///
/// Examples:
///
/// - With 5 leaves, the binary `0b101`. The number of set bits is equal the number
/// of peaks, in this case there are 2 peaks. The 0-indexed least-significant position of
/// the bit determines the number of elements of a tree, so the rightmost tree has `2**0`
/// elements and the left most has `2**2`.
/// - With 12 leaves, the binary is `0b1100`, this case also has 2 peaks, the
/// leftmost tree has `2**3=8` elements, and the right most has `2**2=4` elements.
num_leaves: usize,
/// All the peaks of every tree in the [Mmr] forest. The peaks are always ordered by number of
/// leaves, starting from the peak with most children, to the one with least.
///
/// Invariant: The length of `peaks` must be equal to the number of true bits in `num_leaves`.
peaks: Vec<RpoDigest>,
}
impl MmrPeaks {
pub fn new(num_leaves: usize, peaks: Vec<RpoDigest>) -> Result<Self, MmrError> {
if num_leaves.count_ones() as usize != peaks.len() {
return Err(MmrError::InvalidPeaks);
}
Ok(Self { num_leaves, peaks })
}
// ACCESSORS
// --------------------------------------------------------------------------------------------
/// Returns a count of the [Mmr]'s leaves.
pub fn num_leaves(&self) -> usize {
self.num_leaves
}
/// Returns the current peaks of the [Mmr].
pub fn peaks(&self) -> &[RpoDigest] {
&self.peaks
}
/// Hashes the peaks.
///
/// The procedure will:
/// - Flatten and pad the peaks to a vector of Felts.
/// - Hash the vector of Felts.
pub fn hash_peaks(&self) -> Word {
Rpo256::hash_elements(&self.flatten_and_pad_peaks()).into()
}
pub fn verify(&self, value: RpoDigest, opening: MmrProof) -> bool {
let root = &self.peaks[opening.peak_index()];
opening.merkle_path.verify(opening.relative_pos() as u64, value, root)
}
/// Flattens and pads the peaks to make hashing inside of the Miden VM easier.
///
/// The procedure will:
/// - Flatten the vector of Words into a vector of Felts.
/// - Pad the peaks with ZERO to an even number of words, this removes the need to handle RPO
/// padding.
/// - Pad the peaks to a minimum length of 16 words, which reduces the constant cost of
/// hashing.
pub fn flatten_and_pad_peaks(&self) -> Vec<Felt> {
let num_peaks = self.peaks.len();
// To achieve the padding rules above we calculate the length of the final vector.
// This is calculated as the number of field elements. Each peak is 4 field elements.
// The length is calculated as follows:
// - If there are less than 16 peaks, the data is padded to 16 peaks and as such requires
// 64 field elements.
// - If there are more than 16 peaks and the number of peaks is odd, the data is padded to
// an even number of peaks and as such requires `(num_peaks + 1) * 4` field elements.
// - If there are more than 16 peaks and the number of peaks is even, the data is not padded
// and as such requires `num_peaks * 4` field elements.
let len = if num_peaks < 16 {
64
} else if num_peaks % 2 == 1 {
(num_peaks + 1) * 4
} else {
num_peaks * 4
};
let mut elements = Vec::with_capacity(len);
elements.extend_from_slice(
&self
.peaks
.as_slice()
.iter()
.map(|digest| digest.into())
.collect::<Vec<Word>>()
.concat(),
);
elements.resize(len, ZERO);
elements
}
}