add sample_cells
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pub mod capped_tree_circuit;
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pub mod safe_tree_circuit;
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pub mod prove_single_cell;
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pub mod prove_single_cell;
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pub mod sample_cells;
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@ -0,0 +1,187 @@
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// Sample cells
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// consistent with:
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// https://github.com/codex-storage/codex-storage-proofs-circuits/blob/master/circuit/codex/sample_cells.circom
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// circuit consists of:
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// - reconstruct the dataset merkle root using the slot root as leaf
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// - samples multiple cells by calling the sample_cells
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use anyhow::Result;
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use plonky2::field::extension::Extendable;
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use plonky2::hash::hash_types::{HashOut, RichField};
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use plonky2::iop::target::{BoolTarget, Target};
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use plonky2::iop::witness::{PartialWitness, WitnessWrite, Witness};
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use plonky2::plonk::circuit_builder::CircuitBuilder;
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use plonky2::plonk::circuit_data::CircuitConfig;
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use plonky2::plonk::config::{AlgebraicHasher, GenericConfig, Hasher, GenericHashOut};
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use std::marker::PhantomData;
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use itertools::Itertools;
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use crate::merkle_tree::merkle_safe::MerkleTree;
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use plonky2::hash::poseidon::PoseidonHash;
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use plonky2::hash::hash_types::{HashOutTarget, NUM_HASH_OUT_ELTS};
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use crate::merkle_tree::merkle_safe::{MerkleProof, MerkleProofTarget};
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use plonky2_poseidon2::poseidon2_hash::poseidon2::Poseidon2;
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use plonky2::field::goldilocks_field::GoldilocksField;
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use plonky2::plonk::config::PoseidonGoldilocksConfig;
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use plonky2::hash::hashing::PlonkyPermutation;
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use crate::circuits::prove_single_cell::{MAX_DEPTH, SlotTree};
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use crate::circuits::safe_tree_circuit::{MerkleTreeCircuit, MerkleTreeTargets};
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// constatnts and types
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const DATASET_DEPTH: usize = 8;
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const N_SAMPLES: usize = 5;
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type HF = PoseidonHash;
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// ------ Dataset Tree --------
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///dataset tree containing all slot trees
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#[derive(Clone)]
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pub struct DatasetTree<F: RichField, H: Hasher<F>> {
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pub tree: MerkleTree<F,H>, // dataset tree
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pub slot_trees: Vec<SlotTree<F,H>>, // vec of slot trees
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}
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/// Dataset Merkle proof struct, containing the dataset proof and N_SAMPLES proofs.
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#[derive(Clone)]
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pub struct DatasetMerkleProof<F: RichField, H: Hasher<F>> {
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pub slot_index: usize,
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pub entropy: usize,
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pub dataset_proof: MerkleProof<F,H>, // proof for dataset level tree
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pub slot_proofs: Vec<MerkleProof<F,H>>, // proofs for sampled slot, contains N_SAMPLES proofs
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}
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impl<F: RichField, H: Hasher<F>> Default for DatasetTree<F,H> {
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/// dataset tree with fake data, for testing only
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fn default() -> Self {
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let mut slot_trees = vec![];
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let n_slots = 1<<DATASET_DEPTH;
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for i in 0..n_slots {
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slot_trees.push(SlotTree::<F,H>::default());
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}
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// get the roots or slot trees
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let slot_roots = slot_trees.iter()
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.map(|t| {
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t.tree.root().unwrap()
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})
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.collect::<Vec<_>>();
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// zero hash
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let zero = HashOut {
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elements: [F::ZERO; 4],
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};
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let dataset_tree = MerkleTree::<F, H>::new(&slot_roots, zero).unwrap();
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Self{
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tree: dataset_tree,
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slot_trees,
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}
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}
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}
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impl<F: RichField, H: Hasher<F>> DatasetTree<F, H> {
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/// same as default but with supplied slot trees
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pub fn new(slot_trees: Vec<SlotTree<F,H>>) -> Self{
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// get the roots or slot trees
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let slot_roots = slot_trees.iter()
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.map(|t| {
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t.tree.root().unwrap()
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})
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.collect::<Vec<_>>();
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// zero hash
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let zero = HashOut {
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elements: [F::ZERO; 4],
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};
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let dataset_tree = MerkleTree::<F, H>::new(&slot_roots, zero).unwrap();
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Self{
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tree: dataset_tree,
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slot_trees,
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}
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}
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/// generates a dataset level proof for given slot index
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/// just a regular merkle tree proof
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pub fn get_proof(&self, index: usize) -> MerkleProof<F, H> {
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let dataset_proof = self.tree.get_proof(index).unwrap();
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dataset_proof
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}
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/// generates a proof for given slot index
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/// also takes entropy so it can use it sample the slot
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pub fn sample_slot(&self, index: usize, entropy: usize) -> DatasetMerkleProof<F, H> {
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let dataset_proof = self.get_proof(index);
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let slot = &self.slot_trees[index];
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let slot_root = slot.tree.root().unwrap();
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let mut slot_proofs = vec![];
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// get the index for cell from H(slot_root|counter|entropy)
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for i in 0..N_SAMPLES {
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let cell_index_bits = calculate_cell_index_bits(entropy, slot_root, i);
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let cell_index = bits_le_padded_to_usize(&cell_index_bits);
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slot_proofs.push(slot.get_proof(cell_index));
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}
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DatasetMerkleProof{
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slot_index: index,
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entropy,
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dataset_proof,
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slot_proofs,
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}
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}
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// verify the sampling - non-circuit version
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pub fn verify_sampling(&self, proof: DatasetMerkleProof<F,H>) -> Result<bool>{
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let slot = &self.slot_trees[proof.slot_index];
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let slot_root = slot.tree.root().unwrap();
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// check dataset level proof
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let d_res = proof.dataset_proof.verify(slot_root,self.tree.root().unwrap());
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if(d_res.unwrap() == false){
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return Ok(false);
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}
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// sanity check
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assert_eq!(N_SAMPLES, proof.slot_proofs.len());
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// get the index for cell from H(slot_root|counter|entropy)
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for i in 0..N_SAMPLES {
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let cell_index_bits = calculate_cell_index_bits(proof.entropy, slot_root, i);
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let cell_index = bits_le_padded_to_usize(&cell_index_bits);
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//check the cell_index is the same as one in the proof
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assert_eq!(cell_index, proof.slot_proofs[i].index);
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let s_res = slot.verify_cell_proof(proof.slot_proofs[i].clone(),slot_root);
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if(s_res.unwrap() == false){
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return Ok(false);
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}
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}
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Ok(true)
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}
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}
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// --------- helper functions --------------
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fn calculate_cell_index_bits<F: RichField>(p0: usize, p1: HashOut<F>, p2: usize) -> Vec<bool> {
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let p0_field = F::from_canonical_u64(p0 as u64);
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let p2_field = F::from_canonical_u64(p2 as u64);
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let mut inputs = Vec::new();
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inputs.extend_from_slice(&p1.elements);
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inputs.push(p0_field);
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inputs.push(p2_field);
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let p_hash = HF::hash_no_pad(&inputs);
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let p_bytes = p_hash.to_bytes();
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let p_bits = take_n_bits_from_bytes(&p_bytes, MAX_DEPTH);
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p_bits
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}
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fn take_n_bits_from_bytes(bytes: &[u8], n: usize) -> Vec<bool> {
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bytes.iter()
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.flat_map(|byte| (0..8u8).map(move |i| (byte >> i) & 1 == 1))
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.take(n)
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.collect()
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}
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/// Converts a vector of bits (LSB first) into an index (usize).
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fn bits_le_padded_to_usize(bits: &[bool]) -> usize {
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bits.iter().enumerate().fold(0usize, |acc, (i, &bit)| {
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if bit {
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acc | (1 << i)
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} else {
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acc
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}
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})
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}
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