Add table multiplexer (and use it for container, custom pred & PublicKeyOf ops) (#376)

- Extend the `Flattenable` trait to include a `size` method that returns the number of `Target`s the type requires.  This is used in the table to figure out the max length of an array that must fit all entry types.
- Move the circuit methods to precalculate hash states and do hashes started from a precomputed state to a new module
- Introduce `MuxTableTarget` which allows easy multiplexing of tables where each sub-table may have entries of different lengths.  The table access is done via hashing + unhashing automatically (via use of a generator)
- Use the `MuxTableTarget` to access merkle tree claims and custom predicate verification, which where previously in different tables and accessed with independent random accesses each
- Move the public key derivation for the PublicKeyOf operation check to the same multiplexed table.  Now we can choose how many of those operations a circuit supports.

Resolve https://github.com/0xPARC/pod2/issues/357
Resolve https://github.com/0xPARC/pod2/issues/361
This commit is contained in:
Eduard S. 2025-08-05 19:09:41 -07:00 committed by GitHub
parent 0305a4de19
commit bcaef6c47a
No known key found for this signature in database
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11 changed files with 843 additions and 524 deletions

View file

@ -41,7 +41,7 @@ serde_arrays = "0.2.0"
sha2 = { version = "0.10.9" }
# Uncomment for debugging with https://github.com/ed255/plonky2/ at branch `feat/debug`. The repo directory needs to be checked out next to the pod2 repo directory.
# [patch."https://github.com/0xPolygonZero/plonky2"]
# [patch."https://github.com/0xPARC/plonky2"]
# plonky2 = { path = "../plonky2/plonky2" }
[dev-dependencies]
@ -61,3 +61,7 @@ time = []
examples = []
disk_cache = ["directories", "minicbor-serde"]
mem_cache = []
# Uncomment in order to enable debug information in the release builds. This allows getting panic backtraces with a performance similar to regular release.
# [profile.release]
# debug = true

View file

@ -26,7 +26,7 @@ use crate::{
basetypes::{CircuitBuilder, CommonCircuitData, D},
circuits::mainpod::CustomPredicateVerification,
error::Result,
mainpod::{Operation, OperationArg, Statement},
mainpod::{Operation, OperationArg, OperationAux, Statement},
primitives::merkletree::MerkleClaimAndProofTarget,
},
middleware::{
@ -128,6 +128,10 @@ impl StatementArgTarget {
pub fn as_value(&self) -> ValueTarget {
ValueTarget::from_slice(&self.elements[..VALUE_SIZE])
}
fn size(_params: &Params) -> usize {
STATEMENT_ARG_F_LEN
}
}
#[derive(Clone, Serialize, Deserialize)]
@ -249,6 +253,10 @@ impl OperationTypeTarget {
) -> Result<()> {
Ok(pw.set_target_arr(&self.elements, &op_type.to_fields(params))?)
}
fn size(_params: &Params) -> usize {
Params::operation_type_size()
}
}
// TODO: Implement Operation::to_field to determine the size of each element
@ -256,8 +264,7 @@ impl OperationTypeTarget {
pub struct OperationTarget {
pub op_type: OperationTypeTarget,
pub args: Vec<IndexTarget>,
#[serde(with = "serde_arrays")]
pub aux: [IndexTarget; 2],
pub aux_index: IndexTarget,
}
impl OperationTarget {
@ -277,11 +284,13 @@ impl OperationTarget {
{
self.args[i].set_targets(pw, arg.as_usize())?;
}
let indexes = op.aux().as_usizes();
for (index_target, index) in self.aux.iter().zip_eq(indexes.iter()) {
index_target.set_targets(pw, *index)?;
}
Ok(())
self.aux_index.set_targets(pw, op.aux().table_index(params))
}
fn size(params: &Params) -> usize {
OperationTypeTarget::size(params)
+ params.max_operation_args * IndexTarget::size(params)
+ IndexTarget::size(params)
}
}
@ -570,12 +579,16 @@ impl Flattenable for CustomPredicateEntryTarget {
.collect()
}
fn from_flattened(params: &Params, vs: &[Target]) -> Self {
assert_eq!(vs.len(), Self::size(params));
Self {
id: HashOutTarget::from_flattened(params, &vs[0..4]),
index: vs[4],
predicate: CustomPredicateTarget::from_flattened(params, &vs[5..]),
}
}
fn size(params: &Params) -> usize {
HashOutTarget::size(params) + 1 + CustomPredicateTarget::size(params)
}
}
impl CustomPredicateEntryTarget {
@ -669,15 +682,16 @@ impl Flattenable for CustomPredicateVerifyQueryTarget {
.collect()
}
fn from_flattened(params: &Params, vs: &[Target]) -> Self {
let (pos, size) = (0, params.statement_size());
assert_eq!(vs.len(), Self::size(params));
let (pos, size) = (0, StatementTarget::size(params));
let statement = StatementTarget::from_flattened(params, &vs[pos..pos + size]);
let (pos, size) = (pos + size, params.operation_size(IndexTarget::f_len()));
let (pos, size) = (pos + size, OperationTypeTarget::size(params));
let op_type = OperationTypeTarget {
elements: vs[pos..pos + size]
.try_into()
.expect("len = operation_type_size"),
};
let (pos, size) = (pos + size, params.statement_size());
let (pos, size) = (pos + size, StatementTarget::size(params));
let op_args = (0..params.max_operation_args)
.map(|i| {
StatementTarget::from_flattened(params, &vs[pos + i * size..pos + (1 + i) * size])
@ -689,6 +703,10 @@ impl Flattenable for CustomPredicateVerifyQueryTarget {
op_args,
}
}
fn size(params: &Params) -> usize {
StatementTarget::size(params) * (1 + params.max_operation_args)
+ OperationTarget::size(params)
}
}
/// Trait for target structs that may be converted to and from vectors
@ -696,8 +714,11 @@ impl Flattenable for CustomPredicateVerifyQueryTarget {
pub trait Flattenable {
fn flatten(&self) -> Vec<Target>;
fn from_flattened(params: &Params, vs: &[Target]) -> Self;
/// Size in number of `Target`s
fn size(params: &Params) -> usize;
}
// TODO: Figure out why this is defined in common and not in the merkletree directory
/// For the purpose of op verification, we need only look up the
/// Merkle claim rather than the Merkle proof since it is verified
/// elsewhere.
@ -726,21 +747,28 @@ impl Flattenable for HashOutTarget {
fn flatten(&self) -> Vec<Target> {
self.elements.to_vec()
}
fn from_flattened(_params: &Params, vs: &[Target]) -> Self {
assert_eq!(vs.len(), HASH_SIZE);
fn from_flattened(params: &Params, vs: &[Target]) -> Self {
assert_eq!(vs.len(), Self::size(params));
Self {
elements: array::from_fn(|i| vs[i]),
}
}
fn size(_params: &Params) -> usize {
4
}
}
impl Flattenable for ValueTarget {
fn flatten(&self) -> Vec<Target> {
self.elements.to_vec()
}
fn from_flattened(_params: &Params, vs: &[Target]) -> Self {
fn from_flattened(params: &Params, vs: &[Target]) -> Self {
assert_eq!(vs.len(), Self::size(params));
Self::from_slice(vs)
}
fn size(_params: &Params) -> usize {
4
}
}
impl Flattenable for MerkleClaimTarget {
@ -755,7 +783,8 @@ impl Flattenable for MerkleClaimTarget {
.concat()
}
fn from_flattened(_params: &Params, vs: &[Target]) -> Self {
fn from_flattened(params: &Params, vs: &[Target]) -> Self {
assert_eq!(vs.len(), Self::size(params));
Self {
enabled: BoolTarget::new_unsafe(vs[0]),
root: HashOutTarget::from_vec(vs[1..1 + NUM_HASH_OUT_ELTS].to_vec()),
@ -768,6 +797,10 @@ impl Flattenable for MerkleClaimTarget {
existence: BoolTarget::new_unsafe(vs[1 + NUM_HASH_OUT_ELTS + 2 * VALUE_SIZE]),
}
}
fn size(params: &Params) -> usize {
2 + HashOutTarget::size(params) + 2 * ValueTarget::size(params)
}
}
impl Flattenable for PredicateTarget {
@ -775,11 +808,15 @@ impl Flattenable for PredicateTarget {
self.elements.to_vec()
}
fn from_flattened(_params: &Params, v: &[Target]) -> Self {
fn from_flattened(params: &Params, v: &[Target]) -> Self {
assert_eq!(v.len(), Self::size(params));
Self {
elements: v.try_into().expect("len is predicate_size"),
}
}
fn size(_params: &Params) -> usize {
Params::predicate_size()
}
}
impl Flattenable for StatementTarget {
@ -792,13 +829,9 @@ impl Flattenable for StatementTarget {
}
fn from_flattened(params: &Params, v: &[Target]) -> Self {
let num_args = (v.len() - Params::predicate_size()) / STATEMENT_ARG_F_LEN;
assert_eq!(
v.len(),
Params::predicate_size() + num_args * STATEMENT_ARG_F_LEN
);
assert_eq!(v.len(), Self::size(params));
let predicate = PredicateTarget::from_flattened(params, &v[..Params::predicate_size()]);
let args = (0..num_args)
let args = (0..params.max_statement_args)
.map(|i| StatementArgTarget {
elements: array::from_fn(|j| {
v[Params::predicate_size() + i * STATEMENT_ARG_F_LEN + j]
@ -808,6 +841,10 @@ impl Flattenable for StatementTarget {
Self { predicate, args }
}
fn size(params: &Params) -> usize {
PredicateTarget::size(params) + params.max_statement_args * StatementArgTarget::size(params)
}
}
impl Flattenable for CustomPredicateTarget {
@ -819,6 +856,7 @@ impl Flattenable for CustomPredicateTarget {
}
fn from_flattened(params: &Params, v: &[Target]) -> Self {
assert_eq!(v.len(), Self::size(params));
// We assume that `from_flattened` is always called with the output of `flattened`, so
// this `BoolTarget` should actually safe.
let conjunction = BoolTarget::new_unsafe(v[0]);
@ -836,6 +874,9 @@ impl Flattenable for CustomPredicateTarget {
args_len,
}
}
fn size(params: &Params) -> usize {
2 + params.max_custom_predicate_arity * StatementTmplTarget::size(params)
}
}
impl Flattenable for StatementTmplTarget {
@ -848,6 +889,7 @@ impl Flattenable for StatementTmplTarget {
}
fn from_flattened(params: &Params, v: &[Target]) -> Self {
assert_eq!(v.len(), Self::size(params));
let pred_end = Params::predicate_size();
let pred = PredicateTarget::from_flattened(params, &v[..pred_end]);
let sta_size = Params::statement_tmpl_arg_size();
@ -859,6 +901,11 @@ impl Flattenable for StatementTmplTarget {
.collect();
Self { pred, args }
}
fn size(params: &Params) -> usize {
PredicateTarget::size(params)
+ params.max_statement_args * StatementTmplArgTarget::size(params)
}
}
impl Flattenable for StatementTmplArgTarget {
@ -866,24 +913,28 @@ impl Flattenable for StatementTmplArgTarget {
self.elements.to_vec()
}
fn from_flattened(_params: &Params, v: &[Target]) -> Self {
fn from_flattened(params: &Params, v: &[Target]) -> Self {
assert_eq!(v.len(), Self::size(params));
Self {
elements: v.try_into().expect("len is statement_tmpl_arg_size"),
}
}
fn size(_params: &Params) -> usize {
Params::statement_tmpl_arg_size()
}
}
/// Index to an array for random access
#[derive(Clone, Serialize, Deserialize)]
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct IndexTarget {
max_array_len: usize,
low: Target,
high: Target,
pub max_array_len: usize,
pub low: Target,
pub high: Target,
}
impl IndexTarget {
// Length in field elements
pub const fn f_len() -> usize {
pub fn size(_params: &Params) -> usize {
2
}
pub fn new_virtual(max_array_len: usize, builder: &mut CircuitBuilder) -> Self {
@ -1051,10 +1102,7 @@ impl CircuitBuilderPod<F, D> for CircuitBuilder {
args: (0..params.max_operation_args)
.map(|_| IndexTarget::new_virtual(params.statement_table_size(), self))
.collect(),
aux: [
IndexTarget::new_virtual(params.max_merkle_proofs_containers, self),
IndexTarget::new_virtual(params.max_custom_predicate_verifications, self),
],
aux_index: IndexTarget::new_virtual(OperationAux::table_size(params), self),
}
}

View file

@ -0,0 +1,57 @@
use plonky2::{
hash::{
hash_types::{HashOutTarget, RichField, NUM_HASH_OUT_ELTS},
hashing::PlonkyPermutation,
},
iop::target::Target,
plonk::config::AlgebraicHasher,
};
use crate::{backends::plonky2::basetypes::CircuitBuilder, middleware::F};
/// Precompute the hash state by absorbing all full chunks from `inputs` and return the reminder
/// elements that didn't fit into a chunk.
pub fn precompute_hash_state<F: RichField, P: PlonkyPermutation<F>>(inputs: &[F]) -> (P, &[F]) {
let (inputs, inputs_rem) = inputs.split_at((inputs.len() / P::RATE) * P::RATE);
let mut perm = P::new(core::iter::repeat(F::ZERO));
// Absorb all inputs up to the biggest multiple of RATE.
for input_chunk in inputs.chunks(P::RATE) {
perm.set_from_slice(input_chunk, 0);
perm.permute();
}
(perm, inputs_rem)
}
/// Hash `inputs` starting from a circuit-constant `perm` state.
pub fn hash_from_state_circuit<H: AlgebraicHasher<F>, P: PlonkyPermutation<F>>(
builder: &mut CircuitBuilder,
perm: P,
inputs: &[Target],
) -> HashOutTarget {
let mut state =
H::AlgebraicPermutation::new(perm.as_ref().iter().map(|v| builder.constant(*v)));
// Absorb all input chunks.
for input_chunk in inputs.chunks(H::AlgebraicPermutation::RATE) {
// Overwrite the first r elements with the inputs. This differs from a standard sponge,
// where we would xor or add in the inputs. This is a well-known variant, though,
// sometimes called "overwrite mode".
state.set_from_slice(input_chunk, 0);
state = builder.permute::<H>(state);
}
let num_outputs = NUM_HASH_OUT_ELTS;
// Squeeze until we have the desired number of outputs.
let mut outputs = Vec::with_capacity(num_outputs);
loop {
for &s in state.squeeze() {
outputs.push(s);
if outputs.len() == num_outputs {
return HashOutTarget::from_vec(outputs);
}
}
state = builder.permute::<H>(state);
}
}

File diff suppressed because it is too large Load diff

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@ -1,5 +1,7 @@
pub mod common;
pub mod hash;
pub mod mainpod;
pub mod metrics;
pub mod mux_table;
pub mod signedpod;
pub mod utils;

View file

@ -0,0 +1,216 @@
use std::iter;
use itertools::Itertools;
use plonky2::{
field::{extension::Extendable, types::Field},
hash::{
hash_types::{HashOutTarget, RichField},
poseidon::{PoseidonHash, PoseidonPermutation},
},
iop::{
generator::{GeneratedValues, SimpleGenerator},
target::{BoolTarget, Target},
witness::{PartitionWitness, Witness, WitnessWrite},
},
plonk::circuit_data::CommonCircuitData,
util::serialization::{Buffer, IoResult, Read, Write},
};
use crate::{
backends::plonky2::{
basetypes::CircuitBuilder,
circuits::{
common::{CircuitBuilderPod, Flattenable, IndexTarget},
hash::{hash_from_state_circuit, precompute_hash_state},
},
},
measure_gates_begin, measure_gates_end,
middleware::{Params, F},
};
// This structure allows multiplexing multiple tables into one by using tags. The table entries
// are computed by hashing the concatenation of the tag with the flattened target, with zero
// padding to normalize the size of all flattened entries. We use zero-padding on then reverse the
// array so that smaller entries can skip the initial hashes by using the precomputed hash state of
// the prefixed zeroes.
// The table offers an indexing API that returns a flattened entry that includes the "unhashing",
// this allows doing a single lookup for different possible tagged entries at the same time.
pub struct MuxTableTarget {
params: Params,
max_flattened_entry_len: usize,
hashed_tagged_entries: Vec<HashOutTarget>,
tagged_entries: Vec<Vec<Target>>,
}
impl MuxTableTarget {
pub fn new(params: &Params, max_flattened_entry_len: usize) -> Self {
Self {
params: params.clone(),
max_flattened_entry_len,
hashed_tagged_entries: Vec::new(),
tagged_entries: Vec::new(),
}
}
#[allow(clippy::len_without_is_empty)]
pub fn len(&self) -> usize {
self.hashed_tagged_entries.len()
}
pub fn push<T: Flattenable>(&mut self, builder: &mut CircuitBuilder, tag: u32, entry: &T) {
let flattened_entry = entry.flatten();
self.push_flattened(builder, tag, &flattened_entry);
}
pub fn push_flattened(
&mut self,
builder: &mut CircuitBuilder,
tag: u32,
flattened_entry: &[Target],
) {
let measure = measure_gates_begin!(builder, "HashTaggedTblEntry");
assert!(flattened_entry.len() <= self.max_flattened_entry_len);
let flattened = [&[builder.constant(F(tag as u64))], flattened_entry].concat();
self.tagged_entries.push(flattened.clone());
let tagged_entry_max_len = 1 + self.max_flattened_entry_len;
let front_pad_elts = iter::repeat(F::ZERO)
.take(tagged_entry_max_len - flattened.len())
.collect_vec();
let (perm, front_pad_elts_rem) =
precompute_hash_state::<F, PoseidonPermutation<F>>(&front_pad_elts);
let rev_flattened = flattened.iter().rev().copied();
// Precompute the Poseidon state for the initial padding chunks
let inputs = front_pad_elts_rem
.iter()
.map(|v| builder.constant(*v))
.chain(rev_flattened)
.collect_vec();
let hash =
hash_from_state_circuit::<PoseidonHash, PoseidonPermutation<F>>(builder, perm, &inputs);
measure_gates_end!(builder, measure);
self.hashed_tagged_entries.push(hash);
}
pub fn get(&self, builder: &mut CircuitBuilder, index: &IndexTarget) -> TableEntryTarget {
let measure = measure_gates_begin!(builder, "GetTaggedTblEntry");
let entry_hash = builder.vec_ref(&self.params, &self.hashed_tagged_entries, index);
let mut rev_resolved_tagged_flattened =
builder.add_virtual_targets(1 + self.max_flattened_entry_len);
let query_hash =
builder.hash_n_to_hash_no_pad::<PoseidonHash>(rev_resolved_tagged_flattened.clone());
builder.connect_flattenable(&entry_hash, &query_hash);
rev_resolved_tagged_flattened.reverse();
let resolved_tagged_flattened = rev_resolved_tagged_flattened;
builder.add_simple_generator(TableGetGenerator {
index: index.clone(),
tagged_entries: self.tagged_entries.clone(),
get_tagged_entry: resolved_tagged_flattened.clone(),
});
measure_gates_end!(builder, measure);
TableEntryTarget {
params: self.params.clone(),
tagged_flattened_entry: resolved_tagged_flattened,
}
}
}
#[derive(Debug, Clone, Default)]
pub struct TableGetGenerator {
index: IndexTarget,
tagged_entries: Vec<Vec<Target>>,
get_tagged_entry: Vec<Target>,
}
impl<F: RichField + Extendable<D>, const D: usize> SimpleGenerator<F, D> for TableGetGenerator {
fn id(&self) -> String {
"TableGetGenerator".to_string()
}
fn dependencies(&self) -> Vec<Target> {
[self.index.low, self.index.high]
.into_iter()
.chain(self.tagged_entries.iter().flatten().copied())
.collect()
}
fn run_once(
&self,
witness: &PartitionWitness<F>,
out_buffer: &mut GeneratedValues<F>,
) -> anyhow::Result<()> {
let index_low = witness.get_target(self.index.low);
let index_high = witness.get_target(self.index.high);
let index = (index_low + index_high * F::from_canonical_usize(1 << 6)).to_canonical_u64();
let entry = witness.get_targets(&self.tagged_entries[index as usize]);
for (target, value) in self.get_tagged_entry.iter().zip(
entry
.iter()
.chain(iter::repeat(&F::ZERO).take(self.get_tagged_entry.len())),
) {
out_buffer.set_target(*target, *value)?;
}
Ok(())
}
fn serialize(&self, dst: &mut Vec<u8>, _common_data: &CommonCircuitData<F, D>) -> IoResult<()> {
dst.write_usize(self.index.max_array_len)?;
dst.write_target(self.index.low)?;
dst.write_target(self.index.high)?;
dst.write_usize(self.tagged_entries.len())?;
for tagged_entry in &self.tagged_entries {
dst.write_target_vec(tagged_entry)?;
}
dst.write_target_vec(&self.get_tagged_entry)
}
fn deserialize(src: &mut Buffer, _common_data: &CommonCircuitData<F, D>) -> IoResult<Self> {
let index = IndexTarget {
max_array_len: src.read_usize()?,
low: src.read_target()?,
high: src.read_target()?,
};
let len = src.read_usize()?;
let mut tagged_entries = Vec::with_capacity(len);
for _ in 0..len {
tagged_entries.push(src.read_target_vec()?);
}
let get_tagged_entry = src.read_target_vec()?;
Ok(Self {
index,
tagged_entries,
get_tagged_entry,
})
}
}
pub struct TableEntryTarget {
params: Params,
tagged_flattened_entry: Vec<Target>,
}
impl TableEntryTarget {
pub fn as_type<T: Flattenable>(
&self,
builder: &mut CircuitBuilder,
tag: u32,
) -> (BoolTarget, T) {
let tag_target = self.tagged_flattened_entry[0];
let flattened_entry = &self.tagged_flattened_entry[1..];
let entry = T::from_flattened(&self.params, &flattened_entry[..T::size(&self.params)]);
let tag_expect = builder.constant(F(tag as u64));
let tag_ok = builder.is_equal(tag_expect, tag_target);
(tag_ok, entry)
}
}

View file

@ -18,7 +18,7 @@ use crate::{
emptypod::EmptyPod,
error::{Error, Result},
mock::emptypod::MockEmptyPod,
primitives::merkletree::MerkleClaimAndProof,
primitives::{ec::schnorr::SecretKey, merkletree::MerkleClaimAndProof},
recursion::{
hash_verifier_data, prove_rec_circuit, RecursiveCircuit, RecursiveCircuitTarget,
},
@ -29,9 +29,9 @@ use crate::{
signedpod::SignedPod,
},
middleware::{
self, resolve_wildcard_values, value_from_op, AnchoredKey, CustomPredicateBatch, Hash,
MainPodInputs, NativeOperation, OperationType, Params, Pod, PodId, PodProver, PodType,
RecursivePod, StatementArg, ToFields, VDSet, KEY_TYPE, SELF,
self, resolve_wildcard_values, value_from_op, AnchoredKey, CustomPredicateBatch,
Error as MiddlewareError, Hash, MainPodInputs, NativeOperation, OperationType, Params, Pod,
PodId, PodProver, PodType, RecursivePod, StatementArg, ToFields, VDSet, KEY_TYPE, SELF,
},
timed,
};
@ -87,16 +87,13 @@ pub(crate) fn extract_custom_predicate_batches(
/// Extracts all custom predicate operations with all the data required to verify them.
pub(crate) fn extract_custom_predicate_verifications(
params: &Params,
aux_list: &mut [OperationAux],
operations: &[middleware::Operation],
custom_predicate_batches: &[Arc<CustomPredicateBatch>],
) -> Result<Vec<CustomPredicateVerification>> {
let custom_predicate_data: Vec<_> = operations
.iter()
.flat_map(|op| match op {
middleware::Operation::Custom(cpr, sts) => Some((cpr, sts)),
_ => None,
})
.map(|(cpr, sts)| {
let mut table = Vec::new();
for (i, op) in operations.iter().enumerate() {
if let middleware::Operation::Custom(cpr, sts) = op {
let wildcard_values =
resolve_wildcard_values(params, cpr.predicate(), sts).expect("resolved wildcards");
let sts = sts.iter().map(|s| Statement::from(s.clone())).collect();
@ -107,73 +104,105 @@ pub(crate) fn extract_custom_predicate_verifications(
.expect("find the custom predicate from the extracted unique list");
let custom_predicate_table_index =
batch_index * params.max_custom_batch_size + cpr.index;
CustomPredicateVerification {
aux_list[i] = OperationAux::CustomPredVerifyIndex(table.len());
table.push(CustomPredicateVerification {
custom_predicate_table_index,
custom_predicate: cpr.clone(),
args: wildcard_values,
op_args: sts,
}
})
.collect();
if custom_predicate_data.len() > params.max_custom_predicate_verifications {
});
}
}
if table.len() > params.max_custom_predicate_verifications {
return Err(Error::custom(format!(
"The number of required custom predicate verifications ({}) exceeds the maximum number ({}).",
custom_predicate_data.len(),
table.len(),
params.max_custom_predicate_verifications
)));
}
Ok(custom_predicate_data)
Ok(table)
}
/// Extracts Merkle proofs from Contains/NotContains ops.
pub(crate) fn extract_merkle_proofs(
params: &Params,
aux_list: &mut [OperationAux],
operations: &[middleware::Operation],
statements: &[middleware::Statement],
) -> Result<Vec<MerkleClaimAndProof>> {
assert_eq!(operations.len(), statements.len());
let merkle_proofs: Vec<_> = operations
.iter()
.zip(statements.iter())
.flat_map(|(op, st)| match (op, st) {
let mut table = Vec::new();
for (i, (op, st)) in operations.iter().zip(statements.iter()).enumerate() {
let deduction_err = || MiddlewareError::invalid_deduction(op.clone(), st.clone());
let (root, key, value, pf) = match (op, st) {
(
middleware::Operation::ContainsFromEntries(root_s, key_s, value_s, pf),
middleware::Statement::Contains(root_ref, key_ref, value_ref),
) => {
let root = value_from_op(root_s, root_ref)?;
let key = value_from_op(key_s, key_ref)?;
let value = value_from_op(value_s, value_ref)?;
Some(MerkleClaimAndProof::new(
Hash::from(root.raw()),
key.raw(),
Some(value.raw()),
pf.clone(),
))
let root = value_from_op(root_s, root_ref).ok_or_else(deduction_err)?;
let key = value_from_op(key_s, key_ref).ok_or_else(deduction_err)?;
let value = value_from_op(value_s, value_ref).ok_or_else(deduction_err)?;
(root.raw(), key.raw(), Some(value.raw()), pf)
}
(
middleware::Operation::NotContainsFromEntries(root_s, key_s, pf),
middleware::Statement::NotContains(root_ref, key_ref),
) => {
let root = value_from_op(root_s, root_ref)?;
let key = value_from_op(key_s, key_ref)?;
Some(MerkleClaimAndProof::new(
Hash::from(root.raw()),
key.raw(),
None,
pf.clone(),
))
let root = value_from_op(root_s, root_ref).ok_or_else(deduction_err)?;
let key = value_from_op(key_s, key_ref).ok_or_else(deduction_err)?;
(root.raw(), key.raw(), None, pf)
}
_ => None,
})
.collect();
if merkle_proofs.len() > params.max_merkle_proofs_containers {
_ => continue,
};
aux_list[i] = OperationAux::MerkleProofIndex(table.len());
table.push(MerkleClaimAndProof::new(
Hash::from(root),
key,
value,
pf.clone(),
));
}
if table.len() > params.max_merkle_proofs_containers {
return Err(Error::custom(format!(
"The number of required Merkle proofs ({}) exceeds the maximum number ({}).",
merkle_proofs.len(),
table.len(),
params.max_merkle_proofs_containers
)));
}
Ok(merkle_proofs)
Ok(table)
}
pub(crate) fn extract_public_key_of(
params: &Params,
aux_list: &mut [OperationAux],
operations: &[middleware::Operation],
statements: &[middleware::Statement],
) -> Result<Vec<SecretKey>> {
let mut table = Vec::new();
for (i, (op, st)) in operations.iter().zip(statements.iter()).enumerate() {
if let (
middleware::Operation::PublicKeyOf(_, sk_s),
middleware::Statement::PublicKeyOf(_, sk_ref),
) = (op, st)
{
let deduction_err = || MiddlewareError::invalid_deduction(op.clone(), st.clone());
let sk = SecretKey::try_from(
value_from_op(sk_s, sk_ref)
.ok_or_else(deduction_err)?
.typed(),
)?;
aux_list[i] = OperationAux::PublicKeyOfIndex(table.len());
table.push(sk);
}
}
if table.len() > params.max_public_key_of {
return Err(Error::custom(format!(
"The number of required PublicKeyOf verifications ({}) exceeds the maximum number ({}).",
table.len(),
params.max_public_statements
)));
}
Ok(table)
}
/// Find the operation argument statement in the list of previous statements and return the index.
@ -192,52 +221,6 @@ fn find_op_arg(statements: &[Statement], op_arg: &middleware::Statement) -> Resu
)))
}
/// Find the operation auxiliary data in the list of auxiliary data and return the index.
// NOTE: The `custom_predicate_verifications` is optional because in the MainPod we want to store
// the index of a custom predicate verification in the aux data, but in the MockMainPod we don't
// need that because we keep a reference to the custom predicate in the operation type, which
// removes the need for indexing. We could change the OperationType and Predicate for the backend
// to not keep a reference to the custom predicate and instead just keep the id and index and then
// do the same double indexing that the MainPod does to verify custom predicates.
fn find_op_aux(
merkle_proofs: &[MerkleClaimAndProof],
custom_predicate_verifications: Option<&[CustomPredicateVerification]>,
op: &middleware::Operation,
) -> Result<OperationAux> {
let op_aux = op.aux();
if let (middleware::Operation::Custom(cpr, op_args), Some(cpvs)) =
(op, custom_predicate_verifications)
{
return Ok(cpvs
.iter()
.enumerate()
.find_map(|(i, cpv)| {
(cpv.custom_predicate.batch.id() == cpr.batch.id()
&& cpv.custom_predicate.index == cpr.index
&& cpv
.op_args
.iter()
.zip_eq(op_args.iter())
.all(|(a0, a1)| a0.0 == a1.predicate() && a0.1 == a1.args()))
.then_some(i)
})
.map(OperationAux::CustomPredVerifyIndex)
.expect("custom predicate verification in the list"));
}
match &op_aux {
middleware::OperationAux::None => Ok(OperationAux::None),
middleware::OperationAux::MerkleProof(pf_arg) => merkle_proofs
.iter()
.enumerate()
.find_map(|(i, pf)| (pf.proof == *pf_arg).then_some(i))
.map(OperationAux::MerkleProofIndex)
.ok_or(Error::custom(format!(
"Merkle proof corresponding to op arg {} not found",
op_aux
))),
}
}
fn fill_pad<T: Clone>(v: &mut Vec<T>, pad_value: T, len: usize) {
if v.len() > len {
panic!("length exceeded");
@ -367,12 +350,12 @@ pub(crate) fn layout_statements(
pub(crate) fn process_private_statements_operations(
params: &Params,
statements: &[Statement],
merkle_proofs: &[MerkleClaimAndProof],
custom_predicate_verifications: Option<&[CustomPredicateVerification]>,
aux_list: &[OperationAux],
input_operations: &[middleware::Operation],
) -> Result<Vec<Operation>> {
assert_eq!(params.max_priv_statements(), aux_list.len());
let mut operations = Vec::new();
for i in 0..params.max_priv_statements() {
for (i, aux) in aux_list.iter().enumerate() {
let op = input_operations
.get(i)
.unwrap_or(&middleware::Operation::None)
@ -383,10 +366,8 @@ pub(crate) fn process_private_statements_operations(
.map(|mid_arg| find_op_arg(statements, mid_arg))
.collect::<Result<Vec<_>>>()?;
let aux = find_op_aux(merkle_proofs, custom_predicate_verifications, &op)?;
pad_operation_args(params, &mut args);
operations.push(Operation(op.op_type(), args, aux));
operations.push(Operation(op.op_type(), args, *aux));
}
Ok(operations)
}
@ -475,20 +456,25 @@ impl PodProver for Prover {
})
.collect_vec();
let merkle_proofs = extract_merkle_proofs(params, inputs.operations, inputs.statements)?;
// Aux values for backend::Operation
let mut aux_list = vec![OperationAux::None; params.max_priv_statements()];
let merkle_proofs =
extract_merkle_proofs(params, &mut aux_list, inputs.operations, inputs.statements)?;
let custom_predicate_batches = extract_custom_predicate_batches(params, inputs.operations)?;
let custom_predicate_verifications = extract_custom_predicate_verifications(
params,
&mut aux_list,
inputs.operations,
&custom_predicate_batches,
)?;
let public_key_of_sks =
extract_public_key_of(params, &mut aux_list, inputs.operations, inputs.statements)?;
let (statements, public_statements) = layout_statements(params, false, &inputs)?;
let operations = process_private_statements_operations(
params,
&statements,
&merkle_proofs,
Some(&custom_predicate_verifications),
&aux_list,
inputs.operations,
)?;
let operations = process_public_statements_operations(params, &statements, operations)?;
@ -523,6 +509,7 @@ impl PodProver for Prover {
statements: statements[statements.len() - params.max_statements..].to_vec(),
operations,
merkle_proofs,
public_key_of_sks,
custom_predicate_batches,
custom_predicate_verifications,
};
@ -845,6 +832,45 @@ pub mod tests {
pod.verify().unwrap()
}
// This pod does nothing but it's useful for debugging to keep things small.
#[ignore]
#[test]
fn test_mini_1() {
let params = middleware::Params {
max_input_signed_pods: 0,
max_input_recursive_pods: 0,
max_signed_pod_values: 0,
max_statements: 2,
max_public_statements: 1,
max_input_pods_public_statements: 0,
max_merkle_proofs_containers: 0,
max_public_key_of: 0,
max_custom_predicate_verifications: 0,
max_custom_predicate_batches: 0,
..Default::default()
};
let mut vds = DEFAULT_VD_LIST.clone();
vds.push(rec_main_pod_circuit_data(&params).1.verifier_only.clone());
let vd_set = VDSet::new(params.max_depth_mt_vds, &vds).unwrap();
let builder = frontend::MainPodBuilder::new(&params, &vd_set);
println!("{}", builder);
println!();
// Mock
let prover = MockProver {};
let pod = builder.prove(&prover).unwrap();
let pod = (pod.pod as Box<dyn Any>).downcast::<MockMainPod>().unwrap();
pod.verify().unwrap();
println!("{:#}", pod);
// Real
let prover = Prover {};
let pod = builder.prove(&prover).unwrap();
let pod = (pod.pod as Box<dyn Any>).downcast::<MainPod>().unwrap();
pod.verify().unwrap()
}
#[test]
fn test_mainpod_small_empty() {
let params = middleware::Params {
@ -863,6 +889,7 @@ pub mod tests {
max_custom_predicate_wildcards: 3,
max_custom_batch_size: 2,
max_merkle_proofs_containers: 2,
max_public_key_of: 2,
max_depth_mt_containers: 4,
max_depth_mt_vds: 6,
};
@ -927,6 +954,7 @@ pub mod tests {
max_custom_batch_size: 3,
max_custom_predicate_wildcards: 4,
max_custom_predicate_verifications: 2,
max_merkle_proofs_containers: 0,
..Default::default()
};
println!("{:#?}", params);
@ -980,7 +1008,7 @@ pub mod tests {
let st = builder
.pub_op(frontend::Operation::new_entry(
"entry",
Set::new(params.max_merkle_proofs_containers, set).unwrap(),
Set::new(params.max_depth_mt_containers, set).unwrap(),
))
.unwrap();

View file

@ -8,7 +8,7 @@ use crate::{
mainpod::Statement,
primitives::merkletree::MerkleClaimAndProof,
},
middleware::{self, OperationType},
middleware::{self, OperationType, Params},
};
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
@ -30,19 +30,36 @@ impl OperationArg {
}
}
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[derive(Clone, Copy, Debug, PartialEq, Serialize, Deserialize)]
pub enum OperationAux {
None,
MerkleProofIndex(usize),
PublicKeyOfIndex(usize),
CustomPredVerifyIndex(usize),
}
impl OperationAux {
pub fn as_usizes(&self) -> [usize; 2] {
fn table_offset_merkle_proof(_params: &Params) -> usize {
// At index 0 we store a zero entry
1
}
fn table_offset_public_key_of(params: &Params) -> usize {
Self::table_offset_merkle_proof(params) + params.max_merkle_proofs_containers
}
fn table_offset_custom_pred_verify(params: &Params) -> usize {
Self::table_offset_public_key_of(params) + params.max_public_key_of
}
pub(crate) fn table_size(params: &Params) -> usize {
1 + params.max_merkle_proofs_containers
+ params.max_public_key_of
+ params.max_custom_predicate_verifications
}
pub fn table_index(&self, params: &Params) -> usize {
match self {
Self::None => [0, 0],
Self::MerkleProofIndex(i) => [*i, 0],
Self::CustomPredVerifyIndex(i) => [0, *i],
Self::None => 0,
Self::MerkleProofIndex(i) => Self::table_offset_merkle_proof(params) + *i,
Self::PublicKeyOfIndex(i) => Self::table_offset_public_key_of(params) + *i,
Self::CustomPredVerifyIndex(i) => Self::table_offset_custom_pred_verify(params) + *i,
}
}
}
@ -87,6 +104,7 @@ impl Operation {
.proof
.clone(),
),
OperationAux::PublicKeyOfIndex(_) => crate::middleware::OperationAux::None,
};
Ok(middleware::Operation::op(
self.0.clone(),
@ -114,6 +132,7 @@ impl fmt::Display for Operation {
OperationAux::None => (),
OperationAux::MerkleProofIndex(i) => write!(f, " merkle_proof_{:02}", i)?,
OperationAux::CustomPredVerifyIndex(i) => write!(f, " custom_pred_verify_{:02}", i)?,
OperationAux::PublicKeyOfIndex(i) => write!(f, " public_key_of_{:02}", i)?,
}
Ok(())
}

View file

@ -14,7 +14,7 @@ use crate::{
mainpod::{
calculate_id, extract_merkle_proofs, layout_statements,
process_private_statements_operations, process_public_statements_operations, Operation,
Statement,
OperationAux, Statement,
},
mock::emptypod::MockEmptyPod,
primitives::merkletree::MerkleClaimAndProof,
@ -172,14 +172,15 @@ impl MockMainPod {
pub fn new(params: &Params, inputs: MainPodInputs) -> Result<Self> {
let (statements, public_statements) = layout_statements(params, true, &inputs)?;
let mut aux_list = vec![OperationAux::None; params.max_priv_statements()];
// Extract Merkle proofs and pad.
let merkle_proofs = extract_merkle_proofs(params, inputs.operations, inputs.statements)?;
let merkle_proofs =
extract_merkle_proofs(params, &mut aux_list, inputs.operations, inputs.statements)?;
let operations = process_private_statements_operations(
params,
&statements,
&merkle_proofs,
None,
&aux_list,
inputs.operations,
)?;
let operations = process_public_statements_operations(params, &statements, operations)?;

View file

@ -19,7 +19,7 @@ use serde::{de, ser, Deserialize, Serialize};
use crate::backends::plonky2::{
basetypes::{CircuitData, CommonCircuitData, VerifierCircuitData, C, D, F},
circuits::{common::LtMaskGenerator, utils::DebugGenerator},
circuits::{common::LtMaskGenerator, mux_table::TableGetGenerator, utils::DebugGenerator},
primitives::ec::{
bits::ConditionalZeroGenerator,
curve::PointSquareRootGenerator,
@ -92,7 +92,6 @@ use plonky2::{
#[derive(Debug)]
pub(crate) struct Pod2GeneratorSerializer {}
// TODO: Add pod2 custom generators
impl WitnessGeneratorSerializer<F, D> for Pod2GeneratorSerializer {
impl_generator_serializer! {
Pod2GeneratorSerializer,
@ -130,7 +129,8 @@ impl WitnessGeneratorSerializer<F, D> for Pod2GeneratorSerializer {
RecursiveGenerator<1, NNFMulSimple<5, QuinticExtension<F>>>,
RecursiveGenerator<D, ECAddHomogOffset>,
RecursiveGenerator<1, ECAddHomogOffset>,
ComparisonGenerator<F, D>
ComparisonGenerator<F, D>,
TableGetGenerator
}
}

View file

@ -764,8 +764,11 @@ pub struct Params {
pub max_depth_mt_containers: usize,
// maximum depth of the merkle tree gadget used for verifier_data membership
// check. This allows creating verifying sets of pod circuits of size
// 2^max_depth_mt_vds.
// 2^max_depth_mt_vds. Limits the number of container operations of the type Contains,
// NotContains.
pub max_depth_mt_vds: usize,
// maximum number of public key derivations used for PublicKeyOf operation
pub max_public_key_of: usize,
//
// The following parameters define how a pod id is calculated. They need to be the same among
// different circuits to be compatible in their verification.
@ -803,6 +806,7 @@ impl Default for Params {
max_merkle_proofs_containers: 5,
max_depth_mt_containers: 32,
max_depth_mt_vds: 6, // up to 64 (2^6) different pod circuits
max_public_key_of: 2,
}
}
}
@ -828,10 +832,6 @@ impl Params {
Self::predicate_size() + STATEMENT_ARG_F_LEN * self.max_statement_args
}
pub fn operation_size(&self, operation_arg_f_len: usize) -> usize {
Self::operation_type_size() + operation_arg_f_len * self.max_operation_args
}
pub const fn statement_tmpl_size(&self) -> usize {
Self::predicate_size() + self.max_statement_args * Self::statement_tmpl_arg_size()
}