Fix pod builder (#496)
Several fixes and code simplifications:
- MainPodBuilder
- Fix: It was not tracking Contains statements inherited via input pods (via public statements) when automatically generating Contains statements for Entry arguments.
- Enhancement: Deduplicate statements
- MultiPodBuilder
- Simplify: Remove the "statement groups" logic and instead deduplicate statements in the MainPodBuilder (which is much simpler to do)
- Remove the "anchored key" explicit dependency tracking and instead rely on regular dependency tracking by using all the implicit operations and statements generated by MainPodBuilder as input to the solver.
- Fix: Count and constrain custom predicates used in a pod instead of batches used
This commit is contained in:
parent
1e592e11cf
commit
a4069bcc55
7 changed files with 162 additions and 454 deletions
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@ -1253,7 +1253,8 @@ pub mod tests {
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cpr,
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[1, 1, 2].into_iter().map(middleware::Value::from).collect(),
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);
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builder.insert(true, (st, op)).unwrap();
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builder.insert((st.clone(), op)).unwrap();
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builder.reveal(&st).unwrap();
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let prover = Prover {};
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builder.prove(&prover).unwrap();
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}
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@ -137,7 +137,7 @@ pub struct MainPodBuilder {
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pub operations: Vec<Operation>,
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pub public_statements: Vec<Statement>,
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// Internal state
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dict_contains: Vec<(Value, Value)>, // (root, key)
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contains: Vec<(RawValue, RawValue)>, // (root, key)
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}
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impl fmt::Display for MainPodBuilder {
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@ -171,10 +171,16 @@ impl MainPodBuilder {
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statements: Vec::new(),
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operations: Vec::new(),
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public_statements: Vec::new(),
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dict_contains: Vec::new(),
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contains: Vec::new(),
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}
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}
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pub fn stmt_len(&self) -> usize {
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self.statements.len()
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}
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pub fn add_pod(&mut self, pod: MainPod) -> Result<()> {
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for st in &pod.public_statements {
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self.track_contains(st);
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}
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self.input_pods.push(pod);
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match self.input_pods.len() > self.params.max_input_pods {
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true => Err(Error::too_many_input_pods(
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@ -184,31 +190,26 @@ impl MainPodBuilder {
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_ => Ok(()),
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}
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}
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pub fn insert(&mut self, public: bool, st_op: (Statement, Operation)) -> Result<()> {
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// TODO: Do error handling instead of panic
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let (st, op) = st_op;
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// If we're adding a Contains statement with literal arguments (an Entry), track it in
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// `dict_contains` to avoid adding it again via `Self::add_entries_contains`.
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// If we're adding a Contains statement with literal arguments (an Entry), track it in
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// `dict_contains` to avoid adding it again via `Self::add_entries_contains`.
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fn track_contains(&mut self, st: &Statement) {
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if let Statement::Contains(
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ValueRef::Literal(dict),
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ValueRef::Literal(key),
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ValueRef::Literal(_),
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) = &st
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{
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let root_key = (dict.clone(), key.clone());
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self.dict_contains.push(root_key);
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let root_key = (dict.raw(), key.raw());
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self.contains.push(root_key);
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}
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}
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pub fn insert(&mut self, st_op: (Statement, Operation)) -> Result<()> {
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// TODO: Do error handling instead of panic
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let (st, op) = st_op;
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self.track_contains(&st);
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if public {
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self.public_statements.push(st.clone());
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}
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if self.public_statements.len() > self.params.max_public_statements {
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return Err(Error::too_many_public_statements(
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self.public_statements.len(),
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self.params.max_public_statements,
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));
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}
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self.statements.push(st);
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self.operations.push(op);
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if self.statements.len() > self.params.max_statements {
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@ -404,7 +405,7 @@ impl MainPodBuilder {
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}
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fn op_statement(
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&mut self,
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&self,
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wildcard_values: Vec<(usize, Value)>,
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op: Operation,
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) -> Result<Statement> {
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@ -621,7 +622,7 @@ impl MainPodBuilder {
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}
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/// For every operation that has Entry statements as arguments we add a Contains statement to
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/// open the dictionary.
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/// open the dictionary (unless such Contains already exists).
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fn add_entries_contains(&mut self, op: &Operation) -> Result<()> {
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for arg in &op.1 {
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if let OperationArg::Statement(Statement::Contains(
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@ -630,9 +631,9 @@ impl MainPodBuilder {
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ValueRef::Literal(v),
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)) = arg
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{
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let root_key = (dict.clone(), key.clone());
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if !self.dict_contains.contains(&root_key) {
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self.dict_contains.push(root_key);
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let root_key = (dict.raw(), key.raw());
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if !self.contains.contains(&root_key) {
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self.contains.push(root_key);
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self.priv_op(Operation::dict_contains(dict, key, v))?;
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}
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}
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@ -650,13 +651,28 @@ impl MainPodBuilder {
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self.add_entries_contains(&op)?;
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let op = Self::fill_in_aux(Self::lower_op(op)?)?;
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let st = self.op_statement(wildcard_values, op.clone())?;
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self.insert(public, (st, op))?;
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// Skip adding the statement and operation if it already exists
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if !self.statements.contains(&st) {
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self.insert((st.clone(), op))?;
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}
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if public {
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self.reveal(&st)?;
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}
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Ok(self.statements[self.statements.len() - 1].clone())
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Ok(st)
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}
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pub fn reveal(&mut self, st: &Statement) {
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self.public_statements.push(st.clone());
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pub fn reveal(&mut self, st: &Statement) -> Result<()> {
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if !self.public_statements.contains(st) {
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self.public_statements.push(st.clone());
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}
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if self.public_statements.len() > self.params.max_public_statements {
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return Err(Error::too_many_public_statements(
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self.public_statements.len(),
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self.params.max_public_statements,
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));
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}
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Ok(())
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}
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pub fn prove(&self, prover: &dyn MainPodProver) -> Result<MainPod> {
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@ -1351,11 +1367,9 @@ pub mod tests {
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OperationAux::None,
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);
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builder
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.insert(false, (value_of_a.clone(), op_contains.clone()))
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.unwrap();
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builder
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.insert(false, (value_of_b.clone(), op_contains))
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.insert((value_of_a.clone(), op_contains.clone()))
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.unwrap();
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builder.insert((value_of_b.clone(), op_contains)).unwrap();
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let st = Statement::equal(
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AnchoredKey::from((&local, "a")),
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AnchoredKey::from((&local, "b")),
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@ -1368,7 +1382,7 @@ pub mod tests {
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],
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OperationAux::None,
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);
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builder.insert(false, (st, op)).unwrap();
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builder.insert((st, op)).unwrap();
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let prover = MockProver {};
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let pod = builder.prove(&prover).unwrap();
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@ -6,60 +6,20 @@
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use std::collections::BTreeSet;
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use crate::{
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frontend::{Operation, OperationArg},
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middleware::{
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CustomPredicateBatch, Hash, NativeOperation, OperationType, RawValue, Statement, ValueRef,
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},
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frontend::Operation,
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middleware::{CustomPredicateRef, Hash, NativeOperation, OperationType, Predicate},
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};
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/// Unique identifier for a custom predicate batch.
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/// Unique identifier for a custom predicate in a module.
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///
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/// Uses the batch's cryptographic hash as identifier. Two batches with the same
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/// Uses the predicate's cryptographic hash as identifier. Two predicates with the same
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/// hash are considered identical for resource counting purposes.
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#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash)]
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pub struct CustomBatchId(pub Hash);
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pub struct CustomPredicateId(pub Hash);
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impl From<&CustomPredicateBatch> for CustomBatchId {
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fn from(batch: &CustomPredicateBatch) -> Self {
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Self(batch.id())
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}
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}
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/// Unique identifier for an anchored key (dict, key) pair.
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///
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/// When a Contains statement is used as an argument to operations like gt(), eq(), etc.,
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/// the value is accessed via an "anchored key" - a reference to a specific key in a
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/// specific dictionary. Each unique anchored key used in a POD requires a Contains
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/// statement to be present in that POD (auto-inserted by MainPodBuilder if needed).
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///
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/// We use the raw values of the dict and key for comparison, as they uniquely identify
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/// the anchored key regardless of the specific Value types involved.
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#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash)]
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pub struct AnchoredKeyId {
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/// The dictionary root value (raw representation for Ord).
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pub dict: RawValue,
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/// The key within the dictionary (raw representation for Ord).
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pub key: RawValue,
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}
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impl AnchoredKeyId {
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/// Create a new anchored key ID from raw values.
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pub fn new(dict: RawValue, key: RawValue) -> Self {
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Self { dict, key }
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}
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/// Try to extract an anchored key ID from a Contains statement with all literal values.
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pub fn from_contains_statement(stmt: &Statement) -> Option<Self> {
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if let Statement::Contains(
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ValueRef::Literal(dict),
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ValueRef::Literal(key),
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ValueRef::Literal(_value),
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) = stmt
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{
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Some(Self::new(dict.raw(), key.raw()))
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} else {
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None
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}
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impl From<&CustomPredicateRef> for CustomPredicateId {
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fn from(predicate: &CustomPredicateRef) -> Self {
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Self(Predicate::Custom(predicate.clone()).hash())
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}
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}
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@ -88,17 +48,9 @@ pub struct StatementCost {
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/// Limit: `params.max_public_key_of`
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pub public_key_of: usize,
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/// Custom predicate batches used (for batch cardinality constraint).
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/// Limit: `params.max_custom_predicate_batches` distinct batches per POD.
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pub custom_batch_ids: BTreeSet<CustomBatchId>,
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/// Anchored keys referenced by this operation.
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///
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/// When a Contains statement with all literal values is used as an argument,
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/// the operation references an "anchored key" (dict, key pair). Each unique
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/// anchored key used in a POD incurs an additional Contains statement cost,
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/// as MainPodBuilder::add_entries_contains will auto-insert it if not already present.
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pub anchored_keys: BTreeSet<AnchoredKeyId>,
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/// Custom predicates used (for custom predicate cardinality constraint).
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/// Limit: `params.max_custom_predicates` distinct custom predicates per POD.
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pub custom_predicates_ids: BTreeSet<CustomPredicateId>,
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}
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impl StatementCost {
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@ -164,20 +116,8 @@ impl StatementCost {
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}
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OperationType::Custom(cpr) => {
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cost.custom_pred_verifications = 1;
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cost.custom_batch_ids
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.insert(CustomBatchId::from(&*cpr.batch));
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}
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}
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// Extract anchored keys from operation arguments.
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// Any argument that is a Contains statement with all literal values
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// represents an anchored key reference that will require a Contains
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// statement in the POD (auto-inserted by MainPodBuilder if needed).
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for arg in &op.1 {
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if let OperationArg::Statement(stmt) = arg {
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if let Some(anchored_key) = AnchoredKeyId::from_contains_statement(stmt) {
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cost.anchored_keys.insert(anchored_key);
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}
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cost.custom_predicates_ids
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.insert(CustomPredicateId::from(cpr));
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}
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}
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@ -5,7 +5,6 @@
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use std::collections::HashMap;
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use super::cost::AnchoredKeyId;
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use crate::{
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frontend::{Operation, OperationArg},
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middleware::{Hash, Statement},
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@ -100,11 +99,6 @@ impl DependencyGraph {
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pod_hash,
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statement: dep_stmt.clone(),
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}));
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} else if AnchoredKeyId::from_contains_statement(dep_stmt).is_some() {
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// Anchored-key Contains args may be implicit requirements that are
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// auto-materialized by MainPodBuilder. They are handled by anchored-key
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// resource accounting, not by statement dependency edges.
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continue;
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} else {
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// Statement arguments should either be internal (created earlier)
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// or from external PODs (except anchored-key implicit Contains).
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@ -128,9 +122,8 @@ impl DependencyGraph {
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mod tests {
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use super::*;
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use crate::{
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dict,
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frontend::Operation as FrontendOp,
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middleware::{AnchoredKey, NativeOperation, OperationAux, OperationType, Value, ValueRef},
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middleware::{NativeOperation, OperationAux, OperationType, Value, ValueRef},
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};
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fn equal_stmt(n: i64) -> Statement {
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@ -195,32 +188,4 @@ mod tests {
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assert_eq!(graph.statement_deps[1], vec![StatementSource::Internal(0)]);
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assert_eq!(graph.statement_deps[2], vec![StatementSource::Internal(0)]);
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}
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#[test]
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fn test_anchored_key_contains_arg_is_treated_as_implicit_requirement() {
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// A literal Contains statement can be used as an anchored-key argument even when
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// no explicit producer statement exists in internal/external statements, because
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// MainPodBuilder auto-inserts Contains statements for anchored keys.
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let dict = dict!({
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"k" => 7_i64
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});
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let anchored_contains = Statement::Contains(
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ValueRef::Literal(Value::from(dict.clone())),
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ValueRef::Literal(Value::from("k")),
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ValueRef::Literal(Value::from(7_i64)),
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);
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let ak = AnchoredKey::from((&dict, "k"));
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let produced_statement = Statement::Equal(ValueRef::Key(ak.clone()), ValueRef::Key(ak));
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// Use a typical frontend operation that consumes entry-like args.
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// We're only testing the dependency graph, not the actual proof, so the operation
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// just needs to have the right arguments to test what we're looking for.
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let statements = vec![produced_statement];
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let operations = vec![FrontendOp::eq(anchored_contains.clone(), anchored_contains)];
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let graph = DependencyGraph::build(&statements, &operations, &HashMap::new());
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assert!(graph.statement_deps[0].is_empty());
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}
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}
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@ -48,12 +48,12 @@
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//! [`MainPodBuilder`]: crate::frontend::MainPodBuilder
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use std::{
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collections::{BTreeMap, BTreeSet, HashMap},
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collections::{BTreeSet, HashMap},
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fmt,
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};
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use crate::{
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frontend::{MainPod, MainPodBuilder, Operation, OperationArg},
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frontend::{MainPod, MainPodBuilder, Operation},
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middleware::{Hash, MainPodProver, Params, Statement, VDSet, Value},
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};
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@ -61,7 +61,7 @@ mod cost;
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mod deps;
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mod solver;
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use cost::{AnchoredKeyId, StatementCost};
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use cost::StatementCost;
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use deps::{DependencyGraph, StatementSource};
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pub use solver::MultiPodSolution;
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@ -168,12 +168,8 @@ pub struct MultiPodBuilder {
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options: Options,
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/// External input PODs (already proved).
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input_pods: Vec<MainPod>,
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/// Statements created by this builder.
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statements: Vec<Statement>,
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/// Operations that produce each statement.
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operations: Vec<Operation>,
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/// Optional initial wildcard values for custom operations
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operations_wildcard_values: Vec<Vec<(usize, Value)>>,
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operations_wildcard_values: HashMap<usize, Vec<(usize, Value)>>,
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/// Indices of statements that should be public in output PODs.
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/// Uses Vec since max_public_statements is small (≤8); indices are naturally sorted.
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output_public_indices: Vec<usize>,
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@ -193,7 +189,7 @@ pub struct SolvedMultiPod {
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statements: Vec<Statement>,
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operations: Vec<Operation>,
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output_public_indices: Vec<usize>,
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operations_wildcard_values: Vec<Vec<(usize, Value)>>,
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operations_wildcard_values: HashMap<usize, Vec<(usize, Value)>>,
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solution: MultiPodSolution,
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deps: DependencyGraph,
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}
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@ -260,56 +256,27 @@ impl SolvedMultiPod {
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let statements_sorted: BTreeSet<usize> = statements_in_this_pod.iter().copied().collect();
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let public_set = &solution.pod_public_statements[pod_idx];
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// Track statements proved locally in this POD for argument remapping.
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// We index by statement content so duplicate statements can reuse a single
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// built statement slot in MainPodBuilder.
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let mut added_statements_by_content: HashMap<Statement, Statement> = HashMap::new();
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for &stmt_idx in &statements_sorted {
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let original_stmt = self.statements[stmt_idx].clone();
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// If this statement content was already built in this POD, reuse it instead
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// of replaying the operation. If any duplicate is public, reveal the
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// already-built statement.
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if let Some(_existing_stmt) = added_statements_by_content.get(&original_stmt) {
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continue;
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}
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let mut op = self.operations[stmt_idx].clone();
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let wildcard_values = self.operations_wildcard_values[stmt_idx].clone();
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// Remap Statement arguments that reference locally-proved statements.
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// For external dependencies (from input PODs including earlier generated PODs),
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// the original Statement is used directly - MainPodBuilder will find it in
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// the input POD's public statements via find_op_arg.
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for arg in &mut op.1 {
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if let OperationArg::Statement(ref orig_stmt) = arg {
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if let Some(remapped_stmt) = added_statements_by_content.get(orig_stmt) {
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*arg = OperationArg::Statement(remapped_stmt.clone());
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}
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}
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}
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let op = self.operations[stmt_idx].clone();
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let wildcard_values = self
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.operations_wildcard_values
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.get(&stmt_idx)
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.cloned()
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.unwrap_or_default();
|
||||
|
||||
let stmt = builder.op(false, wildcard_values, op)?;
|
||||
|
||||
added_statements_by_content.insert(original_stmt, stmt);
|
||||
assert_eq!(stmt, self.statements[stmt_idx]); // Sanity check
|
||||
}
|
||||
|
||||
// For the output pod, make statements public in the original order.
|
||||
// Intermediate pods use the solver-selected public set.
|
||||
if pod_idx == solution.pod_count - 1 {
|
||||
for idx in &self.output_public_indices {
|
||||
let stmt = added_statements_by_content
|
||||
.get(&self.statements[*idx])
|
||||
.expect("exists");
|
||||
builder.reveal(stmt);
|
||||
builder.reveal(&self.statements[*idx])?;
|
||||
}
|
||||
} else {
|
||||
for idx in public_set {
|
||||
let stmt = added_statements_by_content
|
||||
.get(&self.statements[*idx])
|
||||
.expect("exists");
|
||||
builder.reveal(stmt);
|
||||
builder.reveal(&self.statements[*idx])?;
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -317,7 +284,7 @@ impl SolvedMultiPod {
|
|||
// for this POD. These do not require local proving in this POD.
|
||||
for ext_premise_idx in &solution.pod_public_external_premises[pod_idx] {
|
||||
let ext_premise = &solution.external_premises[*ext_premise_idx];
|
||||
builder.reveal(&ext_premise.statement);
|
||||
builder.reveal(&ext_premise.statement)?;
|
||||
}
|
||||
|
||||
// Step 4: Prove the POD
|
||||
|
|
@ -456,9 +423,7 @@ impl MultiPodBuilder {
|
|||
options,
|
||||
builder,
|
||||
input_pods: Vec::new(),
|
||||
statements: Vec::new(),
|
||||
operations: Vec::new(),
|
||||
operations_wildcard_values: Vec::new(),
|
||||
operations_wildcard_values: HashMap::new(),
|
||||
output_public_indices: Vec::new(),
|
||||
}
|
||||
}
|
||||
|
|
@ -480,6 +445,16 @@ impl MultiPodBuilder {
|
|||
self.op(false, vec![], op)
|
||||
}
|
||||
|
||||
// Find the index of a statement that has been added. Panics if the statement doesn't
|
||||
// exist.
|
||||
fn stmt_index(&self, stmt: &Statement) -> usize {
|
||||
self.builder
|
||||
.statements
|
||||
.iter()
|
||||
.position(|s| s == stmt)
|
||||
.expect("exists")
|
||||
}
|
||||
|
||||
pub fn op(
|
||||
&mut self,
|
||||
public: bool,
|
||||
|
|
@ -488,8 +463,10 @@ impl MultiPodBuilder {
|
|||
) -> Result<Statement> {
|
||||
let stmt = self.add_operation(wildcard_values, op)?;
|
||||
if public {
|
||||
// Index is always new (just added), so push without duplicate check
|
||||
self.output_public_indices.push(self.statements.len() - 1);
|
||||
let index = self.stmt_index(&stmt);
|
||||
if !self.output_public_indices.contains(&index) {
|
||||
self.output_public_indices.push(index);
|
||||
}
|
||||
}
|
||||
Ok(stmt)
|
||||
}
|
||||
|
|
@ -510,10 +487,8 @@ impl MultiPodBuilder {
|
|||
let stmt = self
|
||||
.builder
|
||||
.op(false, wildcard_values.clone(), op.clone())?;
|
||||
|
||||
self.statements.push(stmt.clone());
|
||||
self.operations.push(op);
|
||||
self.operations_wildcard_values.push(wildcard_values);
|
||||
self.operations_wildcard_values
|
||||
.insert(self.stmt_index(&stmt), wildcard_values.clone());
|
||||
|
||||
Ok(stmt)
|
||||
}
|
||||
|
|
@ -523,7 +498,7 @@ impl MultiPodBuilder {
|
|||
/// Returns an error if the statement was not found in the builder.
|
||||
/// Calling this multiple times on the same statement is idempotent.
|
||||
pub fn reveal(&mut self, stmt: &Statement) -> Result<()> {
|
||||
if let Some(idx) = self.statements.iter().position(|s| s == stmt) {
|
||||
if let Some(idx) = self.builder.statements.iter().position(|s| s == stmt) {
|
||||
if !self.output_public_indices.contains(&idx) {
|
||||
self.output_public_indices.push(idx);
|
||||
}
|
||||
|
|
@ -536,8 +511,8 @@ impl MultiPodBuilder {
|
|||
}
|
||||
|
||||
/// Get the number of statements.
|
||||
pub fn num_statements(&self) -> usize {
|
||||
self.statements.len()
|
||||
pub fn stmt_len(&self) -> usize {
|
||||
self.builder.stmt_len()
|
||||
}
|
||||
|
||||
/// Solve the packing problem and return a solved builder ready for proving.
|
||||
|
|
@ -545,66 +520,31 @@ impl MultiPodBuilder {
|
|||
/// This runs the MILP solver to find the optimal POD assignment.
|
||||
/// Consumes the builder and returns a [`SolvedMultiPod`] that can be proved.
|
||||
pub fn solve(self) -> Result<SolvedMultiPod> {
|
||||
let MainPodBuilder {
|
||||
statements,
|
||||
operations,
|
||||
..
|
||||
} = self.builder;
|
||||
// Compute costs for each statement
|
||||
let costs: Vec<StatementCost> = self
|
||||
.operations
|
||||
let costs: Vec<StatementCost> = operations
|
||||
.iter()
|
||||
.map(StatementCost::from_operation)
|
||||
.collect();
|
||||
|
||||
// Collect all unique anchored keys from the costs
|
||||
let all_anchored_keys: Vec<AnchoredKeyId> = costs
|
||||
.iter()
|
||||
.flat_map(|c| c.anchored_keys.iter().cloned())
|
||||
.collect::<std::collections::BTreeSet<_>>()
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
// Build map from anchored key to its producing statement index (if any).
|
||||
// A Contains statement with literal (dict, key, value) "produces" that anchored key.
|
||||
let mut ak_to_producer: HashMap<AnchoredKeyId, usize> = HashMap::new();
|
||||
for (stmt_idx, stmt) in self.statements.iter().enumerate() {
|
||||
if let Some(ak) = AnchoredKeyId::from_contains_statement(stmt) {
|
||||
// First producer wins (shouldn't have duplicates in practice)
|
||||
ak_to_producer.entry(ak).or_insert(stmt_idx);
|
||||
}
|
||||
}
|
||||
|
||||
// Build parallel array: anchored_key_producers[i] = producer for all_anchored_keys[i]
|
||||
let anchored_key_producers: Vec<Option<usize>> = all_anchored_keys
|
||||
.iter()
|
||||
.map(|ak| ak_to_producer.get(ak).copied())
|
||||
.collect();
|
||||
|
||||
// Build external POD statement mapping
|
||||
let external_pod_statements = build_external_statement_map(&self.input_pods);
|
||||
|
||||
// Build dependency graph
|
||||
let deps =
|
||||
DependencyGraph::build(&self.statements, &self.operations, &external_pod_statements);
|
||||
|
||||
// Build statement content groups for deduplication.
|
||||
// Statements with identical content share a single slot in the POD.
|
||||
// Keep groups ordered by first occurrence index for deterministic solver input.
|
||||
let mut first_idx_by_stmt: HashMap<&Statement, usize> = HashMap::new();
|
||||
let mut groups_by_first_idx: BTreeMap<usize, Vec<usize>> = BTreeMap::new();
|
||||
for (idx, stmt) in self.statements.iter().enumerate() {
|
||||
let first_idx = *first_idx_by_stmt.entry(stmt).or_insert(idx);
|
||||
groups_by_first_idx.entry(first_idx).or_default().push(idx);
|
||||
}
|
||||
let statement_content_groups: Vec<Vec<usize>> = groups_by_first_idx.into_values().collect();
|
||||
let deps = DependencyGraph::build(&statements, &operations, &external_pod_statements);
|
||||
|
||||
// Run solver
|
||||
let input = solver::SolverInput {
|
||||
num_statements: self.statements.len(),
|
||||
num_statements: statements.len(),
|
||||
costs: &costs,
|
||||
deps: &deps,
|
||||
output_public_indices: &self.output_public_indices,
|
||||
params: &self.params,
|
||||
max_pods: self.options.max_pods,
|
||||
all_anchored_keys: &all_anchored_keys,
|
||||
anchored_key_producers: &anchored_key_producers,
|
||||
statement_content_groups: &statement_content_groups,
|
||||
};
|
||||
|
||||
let solution = solver::solve(&input)?;
|
||||
|
|
@ -613,8 +553,8 @@ impl MultiPodBuilder {
|
|||
params: self.params,
|
||||
vd_set: self.vd_set,
|
||||
input_pods: self.input_pods,
|
||||
statements: self.statements,
|
||||
operations: self.operations,
|
||||
statements,
|
||||
operations,
|
||||
output_public_indices: self.output_public_indices,
|
||||
operations_wildcard_values: self.operations_wildcard_values,
|
||||
solution,
|
||||
|
|
@ -845,33 +785,13 @@ mod tests {
|
|||
let solution = solved.solution();
|
||||
|
||||
// Expected: exactly 2 PODs
|
||||
// - POD 0 (intermediate): statements 0 (contains), 1 (a_out); a_out is public
|
||||
// - POD 1 (output): statement 2 (b_out); b_out is public
|
||||
// The output POD accesses a_out from POD 0 to satisfy b_out's dependency.
|
||||
assert_eq!(
|
||||
solution.pod_count, 2,
|
||||
"Expected exactly 2 PODs for 3-statement chain with max_priv=2"
|
||||
);
|
||||
|
||||
// POD 0 should contain statements 0 and 1 (contains and a_out)
|
||||
assert!(
|
||||
solution.pod_statements[0].contains(&0) && solution.pod_statements[0].contains(&1),
|
||||
"POD 0 should contain statements 0 (contains) and 1 (a_out), got {:?}",
|
||||
solution.pod_statements[0]
|
||||
);
|
||||
|
||||
// Statement 1 (a_out) should be public in POD 0 so POD 1 can access it
|
||||
assert!(
|
||||
solution.pod_public_statements[0].contains(&1),
|
||||
"Statement 1 (a_out) should be public in POD 0"
|
||||
);
|
||||
|
||||
// POD 1 (output) should contain statement 2 (b_out)
|
||||
assert!(
|
||||
solution.pod_statements[1].contains(&2),
|
||||
"POD 1 should contain statement 2 (b_out), got {:?}",
|
||||
solution.pod_statements[1]
|
||||
);
|
||||
// Solution A:
|
||||
// - POD 0 (intermediate): public statements 0 (contains)
|
||||
// - POD 1 (output): inherits statement 0 (contains) from POD0, statement 1 (a_out),
|
||||
// public statement 2 (b_out)
|
||||
// Solution B:
|
||||
// - POD 0 (intermediate): statements 0 (contains), public statement 1 (a_out)
|
||||
// - POD 1 (output): inherits statement 1 (a_out) from POD0, public statement 2 (b_out)
|
||||
|
||||
// Statement 2 (b_out) should be public in POD 1 (it's output-public)
|
||||
assert!(
|
||||
|
|
|
|||
|
|
@ -52,7 +52,7 @@ use itertools::Itertools;
|
|||
use super::Result;
|
||||
use crate::{
|
||||
frontend::multi_pod::{
|
||||
cost::{AnchoredKeyId, CustomBatchId, StatementCost},
|
||||
cost::{CustomPredicateId, StatementCost},
|
||||
deps::{DependencyGraph, ExternalDependency, StatementSource},
|
||||
},
|
||||
middleware::{Hash, Params},
|
||||
|
|
@ -95,7 +95,6 @@ struct DependencyStats {
|
|||
struct SolveDebugContext {
|
||||
dep_stats: DependencyStats,
|
||||
batch_memberships: usize,
|
||||
anchored_key_memberships: usize,
|
||||
}
|
||||
|
||||
#[derive(Clone, Copy, Debug, Default)]
|
||||
|
|
@ -105,10 +104,8 @@ struct ModelSizeEstimate {
|
|||
vars_public_external: usize,
|
||||
vars_pod_used: usize,
|
||||
vars_batch_used: usize,
|
||||
vars_anchored_key_used: usize,
|
||||
vars_uses_input: usize,
|
||||
vars_uses_external: usize,
|
||||
vars_content_group_used: usize,
|
||||
vars_total: usize,
|
||||
c1_coverage: usize,
|
||||
c2_output_public: usize,
|
||||
|
|
@ -120,7 +117,6 @@ struct ModelSizeEstimate {
|
|||
c6_pre_content_group: usize,
|
||||
c6_resource_limits: usize,
|
||||
c7_batch_cardinality: usize,
|
||||
c7b_anchored_key_tracking: usize,
|
||||
c8a_internal_inputs: usize,
|
||||
c8b_external_dep_inputs: usize,
|
||||
c8c_external_forward_inputs: usize,
|
||||
|
|
@ -141,8 +137,6 @@ impl ModelSizeEstimate {
|
|||
debug_ctx: &SolveDebugContext,
|
||||
) -> Self {
|
||||
let n = input.num_statements;
|
||||
let num_groups = input.statement_content_groups.len();
|
||||
let num_anchored_keys = input.all_anchored_keys.len();
|
||||
let triangular_k = target_pods * target_pods.saturating_sub(1) / 2;
|
||||
|
||||
let vars_prove = n * target_pods;
|
||||
|
|
@ -150,19 +144,15 @@ impl ModelSizeEstimate {
|
|||
let vars_public_external = external_premises_len * target_pods;
|
||||
let vars_pod_used = target_pods;
|
||||
let vars_batch_used = all_batches_len * target_pods;
|
||||
let vars_anchored_key_used = num_anchored_keys * target_pods;
|
||||
let vars_uses_input = triangular_k;
|
||||
let vars_uses_external = external_pods_len * target_pods;
|
||||
let vars_content_group_used = num_groups * target_pods;
|
||||
let vars_total = vars_prove
|
||||
+ vars_public
|
||||
+ vars_public_external
|
||||
+ vars_pod_used
|
||||
+ vars_batch_used
|
||||
+ vars_anchored_key_used
|
||||
+ vars_uses_input
|
||||
+ vars_uses_external
|
||||
+ vars_content_group_used;
|
||||
+ vars_uses_external;
|
||||
|
||||
let c1_coverage = n;
|
||||
let c2_output_public = input.output_public_indices.len();
|
||||
|
|
@ -171,12 +161,10 @@ impl ModelSizeEstimate {
|
|||
let c4_pod_existence = n * target_pods;
|
||||
let c5_internal_dependencies = debug_ctx.dep_stats.internal_edges * target_pods;
|
||||
let c5_external_dependencies = debug_ctx.dep_stats.external_edges * target_pods;
|
||||
let c6_pre_content_group = (n * target_pods) + (num_groups * target_pods);
|
||||
let c6_pre_content_group = n * target_pods;
|
||||
let c6_resource_limits = 7 * target_pods;
|
||||
let c7_batch_cardinality =
|
||||
(debug_ctx.batch_memberships * target_pods) + (all_batches_len * target_pods);
|
||||
let c7b_anchored_key_tracking =
|
||||
(debug_ctx.anchored_key_memberships * target_pods) + (num_anchored_keys * target_pods);
|
||||
let c8a_internal_inputs = debug_ctx.dep_stats.internal_edges * triangular_k;
|
||||
let c8b_external_dep_inputs = debug_ctx.dep_stats.external_edges * triangular_k;
|
||||
let c8c_external_forward_inputs = external_premises_len * triangular_k;
|
||||
|
|
@ -194,7 +182,6 @@ impl ModelSizeEstimate {
|
|||
+ c6_pre_content_group
|
||||
+ c6_resource_limits
|
||||
+ c7_batch_cardinality
|
||||
+ c7b_anchored_key_tracking
|
||||
+ c8a_internal_inputs
|
||||
+ c8b_external_dep_inputs
|
||||
+ c8c_external_forward_inputs
|
||||
|
|
@ -209,10 +196,8 @@ impl ModelSizeEstimate {
|
|||
vars_public_external,
|
||||
vars_pod_used,
|
||||
vars_batch_used,
|
||||
vars_anchored_key_used,
|
||||
vars_uses_input,
|
||||
vars_uses_external,
|
||||
vars_content_group_used,
|
||||
vars_total,
|
||||
c1_coverage,
|
||||
c2_output_public,
|
||||
|
|
@ -224,7 +209,6 @@ impl ModelSizeEstimate {
|
|||
c6_pre_content_group,
|
||||
c6_resource_limits,
|
||||
c7_batch_cardinality,
|
||||
c7b_anchored_key_tracking,
|
||||
c8a_internal_inputs,
|
||||
c8b_external_dep_inputs,
|
||||
c8c_external_forward_inputs,
|
||||
|
|
@ -300,6 +284,7 @@ pub struct MultiPodSolution {
|
|||
}
|
||||
|
||||
/// Input to the MILP solver.
|
||||
#[derive(Debug)]
|
||||
pub struct SolverInput<'a> {
|
||||
/// Number of statements.
|
||||
pub num_statements: usize,
|
||||
|
|
@ -318,28 +303,6 @@ pub struct SolverInput<'a> {
|
|||
|
||||
/// Maximum number of PODs the solver will consider.
|
||||
pub max_pods: usize,
|
||||
|
||||
/// All unique anchored keys referenced by any statement.
|
||||
///
|
||||
/// Each unique (dict, key) pair that is used as an anchored key reference
|
||||
/// in any operation. When a Contains statement with literal values is used
|
||||
/// as an argument, it creates an anchored key reference.
|
||||
pub all_anchored_keys: &'a [AnchoredKeyId],
|
||||
|
||||
/// For each anchored key, the statement index that produces it (if any).
|
||||
///
|
||||
/// When a Contains statement with literal (dict, key, value) args is explicitly
|
||||
/// added, it "produces" that anchored key. If the producer is in the same POD
|
||||
/// as statements using the anchored key, no auto-insertion is needed.
|
||||
/// `anchored_key_producers[i]` corresponds to `all_anchored_keys[i]`.
|
||||
pub anchored_key_producers: &'a [Option<usize>],
|
||||
|
||||
/// Statement content groups for deduplication.
|
||||
///
|
||||
/// Each inner Vec contains statement indices that have identical content.
|
||||
/// When multiple statements with the same content are proved in the same POD,
|
||||
/// they only use one statement slot (the POD deduplicates identical statements).
|
||||
pub statement_content_groups: &'a [Vec<usize>],
|
||||
}
|
||||
|
||||
/// Solve the MILP problem to find optimal POD packing.
|
||||
|
|
@ -386,11 +349,11 @@ pub fn solve(input: &SolverInput) -> Result<MultiPodSolution> {
|
|||
)));
|
||||
}
|
||||
|
||||
// Collect all unique custom batch IDs used
|
||||
let all_batches: Vec<CustomBatchId> = input
|
||||
// Collect all unique custom predicate IDs used
|
||||
let all_custom_predicates: Vec<CustomPredicateId> = input
|
||||
.costs
|
||||
.iter()
|
||||
.flat_map(|c| c.custom_batch_ids.iter().cloned())
|
||||
.flat_map(|c| c.custom_predicates_ids.iter().cloned())
|
||||
.unique()
|
||||
.collect();
|
||||
|
||||
|
|
@ -417,18 +380,19 @@ pub fn solve(input: &SolverInput) -> Result<MultiPodSolution> {
|
|||
}
|
||||
|
||||
let dep_stats = dependency_stats(input.deps);
|
||||
let batch_memberships: usize = input.costs.iter().map(|c| c.custom_batch_ids.len()).sum();
|
||||
let anchored_key_memberships: usize = input.costs.iter().map(|c| c.anchored_keys.len()).sum();
|
||||
let batch_memberships: usize = input
|
||||
.costs
|
||||
.iter()
|
||||
.map(|c| c.custom_predicates_ids.len())
|
||||
.sum();
|
||||
let debug_ctx = SolveDebugContext {
|
||||
dep_stats,
|
||||
batch_memberships,
|
||||
anchored_key_memberships,
|
||||
};
|
||||
|
||||
if log::log_enabled!(log::Level::Debug) {
|
||||
let resource_totals = ResourceTotals::from_costs(input.costs);
|
||||
let lb_statement_groups =
|
||||
lower_bound_from_total(input.statement_content_groups.len(), max_stmts_per_pod);
|
||||
let lb_statement_groups = lower_bound_from_total(input.num_statements, max_stmts_per_pod);
|
||||
let lb_merkle = lower_bound_from_total(
|
||||
resource_totals.merkle_proofs,
|
||||
input.params.max_merkle_proofs_containers,
|
||||
|
|
@ -463,14 +427,12 @@ pub fn solve(input: &SolverInput) -> Result<MultiPodSolution> {
|
|||
.expect("non-empty lower-bound candidate list");
|
||||
|
||||
log::debug!(
|
||||
"MILP summary: statements={} output_public={} content_groups={} anchored_keys={} \
|
||||
batches={} deps_internal_edges={} deps_external_edges={} external_input_pods={} \
|
||||
"MILP summary: statements={} output_public={} \
|
||||
custom_predicates={} deps_internal_edges={} deps_external_edges={} external_input_pods={} \
|
||||
external_premises={} search_min_pods={} max_pods={}",
|
||||
n,
|
||||
num_output_public,
|
||||
input.statement_content_groups.len(),
|
||||
input.all_anchored_keys.len(),
|
||||
all_batches.len(),
|
||||
all_custom_predicates.len(),
|
||||
dep_stats.internal_edges,
|
||||
dep_stats.external_edges,
|
||||
external_pods.len(),
|
||||
|
|
@ -481,14 +443,13 @@ pub fn solve(input: &SolverInput) -> Result<MultiPodSolution> {
|
|||
log::debug!(
|
||||
"MILP resource totals: merkle_proofs={} merkle_state_transitions={} \
|
||||
custom_pred_verifications={} signed_by={} public_key_of={} \
|
||||
batch_memberships={} anchored_key_memberships={}",
|
||||
batch_memberships={}",
|
||||
resource_totals.merkle_proofs,
|
||||
resource_totals.merkle_state_transitions,
|
||||
resource_totals.custom_pred_verifications,
|
||||
resource_totals.signed_by,
|
||||
resource_totals.public_key_of,
|
||||
batch_memberships,
|
||||
anchored_key_memberships
|
||||
);
|
||||
log::debug!(
|
||||
"MILP lower bounds (pods): statements_raw={} statements_dedup={} merkle_proofs={} \
|
||||
|
|
@ -513,7 +474,7 @@ pub fn solve(input: &SolverInput) -> Result<MultiPodSolution> {
|
|||
if let Some(solution) = try_solve_with_pods(
|
||||
input,
|
||||
target_pods,
|
||||
&all_batches,
|
||||
&all_custom_predicates,
|
||||
&external_pods,
|
||||
&external_premises,
|
||||
&debug_ctx,
|
||||
|
|
@ -540,7 +501,7 @@ pub fn solve(input: &SolverInput) -> Result<MultiPodSolution> {
|
|||
fn try_solve_with_pods(
|
||||
input: &SolverInput,
|
||||
target_pods: usize,
|
||||
all_batches: &[CustomBatchId],
|
||||
all_custom_predicates: &[CustomPredicateId],
|
||||
external_pods: &[Hash],
|
||||
external_premises: &[ExternalDependency],
|
||||
debug_ctx: &SolveDebugContext,
|
||||
|
|
@ -574,21 +535,8 @@ fn try_solve_with_pods(
|
|||
.map(|_| vars.add(variable().binary()))
|
||||
.collect();
|
||||
|
||||
// batch_used[b][p] - custom batch b is used in POD p
|
||||
let batch_used: Vec<Vec<Variable>> = (0..all_batches.len())
|
||||
.map(|_| {
|
||||
(0..target_pods)
|
||||
.map(|_| vars.add(variable().binary()))
|
||||
.collect()
|
||||
})
|
||||
.collect();
|
||||
|
||||
// anchored_key_used[ak][p] - anchored key ak is used in POD p
|
||||
// When a statement references an anchored key (via a Contains statement argument),
|
||||
// that POD must have a Contains statement for that (dict, key) pair.
|
||||
// MainPodBuilder::add_entries_contains auto-inserts these, and we must account
|
||||
// for them in the statement count.
|
||||
let anchored_key_used: Vec<Vec<Variable>> = (0..input.all_anchored_keys.len())
|
||||
// custom_predicates[b][p] - custom predicate b is used in POD p
|
||||
let custom_predicate_used: Vec<Vec<Variable>> = (0..all_custom_predicates.len())
|
||||
.map(|_| {
|
||||
(0..target_pods)
|
||||
.map(|_| vars.add(variable().binary()))
|
||||
|
|
@ -633,31 +581,19 @@ fn try_solve_with_pods(
|
|||
.map(|(i, ext)| (ext.clone(), i))
|
||||
.collect();
|
||||
|
||||
// content_group_used[g][p] - content group g has at least one statement proved in POD p
|
||||
// When multiple statements have identical content, they share a slot in the POD.
|
||||
// This variable tracks whether at least one statement from each content group is proved.
|
||||
let num_groups = input.statement_content_groups.len();
|
||||
let content_group_used: Vec<Vec<Variable>> = (0..num_groups)
|
||||
.map(|_| {
|
||||
(0..target_pods)
|
||||
.map(|_| vars.add(variable().binary()))
|
||||
.collect()
|
||||
})
|
||||
.collect();
|
||||
|
||||
if log::log_enabled!(log::Level::Debug) {
|
||||
let estimate = ModelSizeEstimate::for_target_pods(
|
||||
input,
|
||||
target_pods,
|
||||
all_batches.len(),
|
||||
all_custom_predicates.len(),
|
||||
external_pods.len(),
|
||||
external_premises.len(),
|
||||
debug_ctx,
|
||||
);
|
||||
log::debug!(
|
||||
"MILP(k={}) model estimate vars_total={} [prove={} public={} pod_used={} \
|
||||
public_external={} batch_used={} anchored_key_used={} uses_input={} \
|
||||
uses_external={} content_group_used={}]",
|
||||
public_external={} batch_used={} uses_input={} \
|
||||
uses_external={}]",
|
||||
target_pods,
|
||||
estimate.vars_total,
|
||||
estimate.vars_prove,
|
||||
|
|
@ -665,14 +601,12 @@ fn try_solve_with_pods(
|
|||
estimate.vars_pod_used,
|
||||
estimate.vars_public_external,
|
||||
estimate.vars_batch_used,
|
||||
estimate.vars_anchored_key_used,
|
||||
estimate.vars_uses_input,
|
||||
estimate.vars_uses_external,
|
||||
estimate.vars_content_group_used
|
||||
);
|
||||
log::debug!(
|
||||
"MILP(k={}) model estimate constraints_total={} [c1={} c2={} c2b={} c3={} c4={} \
|
||||
c5i={} c5e={} c6_pre={} c6_limits={} c7={} c7b={} c8a={} c8b={} c8c={} \
|
||||
c5i={} c5e={} c6_pre={} c6_limits={} c7={} c8a={} c8b={} c8c={} \
|
||||
c8d={} c9={} c10={} c10b={}]",
|
||||
target_pods,
|
||||
estimate.constraints_total,
|
||||
|
|
@ -686,7 +620,6 @@ fn try_solve_with_pods(
|
|||
estimate.c6_pre_content_group,
|
||||
estimate.c6_resource_limits,
|
||||
estimate.c7_batch_cardinality,
|
||||
estimate.c7b_anchored_key_tracking,
|
||||
estimate.c8a_internal_inputs,
|
||||
estimate.c8b_external_dep_inputs,
|
||||
estimate.c8c_external_forward_inputs,
|
||||
|
|
@ -798,35 +731,11 @@ fn try_solve_with_pods(
|
|||
}
|
||||
}
|
||||
|
||||
// Constraint 6: Resource limits per POD
|
||||
//
|
||||
// 6a-pre: Content group tracking for statement deduplication
|
||||
// When multiple statement indices have identical content, they share a single slot in the POD.
|
||||
// content_group_used[g][p] = 1 iff at least one statement from group g is proved in POD p.
|
||||
for (g, group) in input.statement_content_groups.iter().enumerate() {
|
||||
for p in 0..target_pods {
|
||||
// Lower bound: if any statement in the group is proved, the group is used
|
||||
for &s in group {
|
||||
model.add_constraint(constraint!(content_group_used[g][p] >= prove[s][p]));
|
||||
}
|
||||
// Upper bound: if no statements in the group are proved, the group is not used
|
||||
let group_prove_sum: Expression = group.iter().map(|&s| prove[s][p]).sum();
|
||||
model.add_constraint(constraint!(content_group_used[g][p] <= group_prove_sum));
|
||||
}
|
||||
}
|
||||
|
||||
for p in 0..target_pods {
|
||||
// 6a: Unique statement count (unique content groups + anchored key Contains)
|
||||
// Statements with identical content share a slot, so we count content groups, not indices.
|
||||
// Anchored key Contains statements are auto-inserted by MainPodBuilder when needed.
|
||||
// The total must not exceed max_priv_statements (= max_statements - max_public_statements).
|
||||
let unique_stmt_sum: Expression = (0..num_groups).map(|g| content_group_used[g][p]).sum();
|
||||
let anchored_key_sum: Expression = (0..input.all_anchored_keys.len())
|
||||
.map(|ak| anchored_key_used[ak][p])
|
||||
.sum();
|
||||
// 6a: Statement count
|
||||
let stmt_sum: Expression = (0..n).map(|g| prove[g][p]).sum();
|
||||
model.add_constraint(constraint!(
|
||||
unique_stmt_sum + anchored_key_sum
|
||||
<= (input.params.max_priv_statements() as f64) * pod_used[p]
|
||||
stmt_sum <= (input.params.max_priv_statements() as f64) * pod_used[p]
|
||||
));
|
||||
|
||||
// 6b: Public statement count (internal public statements + forwarded external premises)
|
||||
|
|
@ -885,67 +794,31 @@ fn try_solve_with_pods(
|
|||
}
|
||||
|
||||
// Constraint 7: Batch cardinality
|
||||
// batch_used[b][p] >= prove[s][p] for all s that use batch b (batch is used if any statement uses it)
|
||||
// batch_used[b][p] <= sum of prove[s][p] for all s using batch b (batch is 0 if no statements use it)
|
||||
for (b, batch_id) in all_batches.iter().enumerate() {
|
||||
// custom_predicate_used[b][p] >= prove[s][p] for all s that use custom predicate b (custom
|
||||
// predicate is used if any statement uses it)
|
||||
// custom_predicate_used[b][p] <= sum of prove[s][p] for all s using custom predicate b (custom
|
||||
// predicate is 0 if no statements use it)
|
||||
for (b, predicate_id) in all_custom_predicates.iter().enumerate() {
|
||||
for p in 0..target_pods {
|
||||
let mut sum: Expression = 0.into();
|
||||
for s in 0..n {
|
||||
if input.costs[s].custom_batch_ids.contains(batch_id) {
|
||||
model.add_constraint(constraint!(batch_used[b][p] >= prove[s][p]));
|
||||
if input.costs[s].custom_predicates_ids.contains(predicate_id) {
|
||||
model.add_constraint(constraint!(custom_predicate_used[b][p] >= prove[s][p]));
|
||||
sum += prove[s][p];
|
||||
}
|
||||
}
|
||||
model.add_constraint(constraint!(batch_used[b][p] <= sum));
|
||||
model.add_constraint(constraint!(custom_predicate_used[b][p] <= sum));
|
||||
}
|
||||
}
|
||||
|
||||
// Constraint 7b: Anchored key tracking
|
||||
//
|
||||
// anchored_key_used[ak][p] = 1 when auto-insertion of a Contains is needed for anchored key ak in POD p.
|
||||
// This happens when: some statement using ak is in POD p, AND the producing Contains is NOT in POD p.
|
||||
//
|
||||
// If a Contains statement explicitly produces ak (anchored_key_producers[ak] = Some(prod_idx)):
|
||||
// - Lower: anchored_key_used[ak][p] >= prove[s][p] - prove[prod_idx][p] for all s using ak
|
||||
// - Upper: anchored_key_used[ak][p] <= 1 - prove[prod_idx][p]
|
||||
// This ensures overhead is 0 when the producer is in the same POD.
|
||||
//
|
||||
// If no Contains produces ak (anchored_key_producers[ak] = None):
|
||||
// - Lower: anchored_key_used[ak][p] >= prove[s][p] for all s using ak
|
||||
// - Upper: anchored_key_used[ak][p] <= sum of prove[s][p] for all s using ak
|
||||
// Auto-insertion is always needed when any user is present.
|
||||
for (ak_idx, ak) in input.all_anchored_keys.iter().enumerate() {
|
||||
let producer = input.anchored_key_producers[ak_idx];
|
||||
|
||||
for p in 0..target_pods {
|
||||
let mut user_sum: Expression = 0.into();
|
||||
for s in 0..n {
|
||||
if input.costs[s].anchored_keys.contains(ak) {
|
||||
if let Some(prod_idx) = producer {
|
||||
// Producer exists: only count overhead if producer not in this POD
|
||||
model.add_constraint(constraint!(
|
||||
anchored_key_used[ak_idx][p] >= prove[s][p] - prove[prod_idx][p]
|
||||
));
|
||||
} else {
|
||||
// No producer: always need auto-insertion if user is present
|
||||
model.add_constraint(constraint!(
|
||||
anchored_key_used[ak_idx][p] >= prove[s][p]
|
||||
));
|
||||
}
|
||||
user_sum += prove[s][p];
|
||||
}
|
||||
}
|
||||
|
||||
if let Some(prod_idx) = producer {
|
||||
// If producer is in POD, no auto-insertion needed (overhead = 0)
|
||||
model.add_constraint(constraint!(
|
||||
anchored_key_used[ak_idx][p] <= 1 - prove[prod_idx][p]
|
||||
));
|
||||
} else {
|
||||
// No producer: overhead is bounded by whether any user is present
|
||||
model.add_constraint(constraint!(anchored_key_used[ak_idx][p] <= user_sum));
|
||||
}
|
||||
}
|
||||
// Custom predicate count per POD
|
||||
for p in 0..target_pods {
|
||||
let custom_predicate_sum: Expression = (0..all_custom_predicates.len())
|
||||
.map(|b| custom_predicate_used[b][p])
|
||||
.sum();
|
||||
model.add_constraint(constraint!(
|
||||
custom_predicate_sum <= (input.params.max_custom_predicates as f64) * pod_used[p]
|
||||
));
|
||||
}
|
||||
|
||||
// Constraint 8a: Internal input POD tracking using uses_input.
|
||||
|
|
@ -1147,9 +1020,6 @@ mod tests {
|
|||
output_public_indices: &[],
|
||||
params: ¶ms,
|
||||
max_pods: 20,
|
||||
all_anchored_keys: &[],
|
||||
anchored_key_producers: &[],
|
||||
statement_content_groups: &[],
|
||||
};
|
||||
|
||||
let result = solve(&input);
|
||||
|
|
@ -1195,7 +1065,6 @@ mod tests {
|
|||
};
|
||||
|
||||
let costs = vec![StatementCost::default(), StatementCost::default()];
|
||||
let statement_content_groups = vec![vec![0], vec![1]];
|
||||
let output_public = vec![1];
|
||||
|
||||
let input = SolverInput {
|
||||
|
|
@ -1205,9 +1074,6 @@ mod tests {
|
|||
output_public_indices: &output_public,
|
||||
params: ¶ms,
|
||||
max_pods: 4,
|
||||
all_anchored_keys: &[],
|
||||
anchored_key_producers: &[],
|
||||
statement_content_groups: &statement_content_groups,
|
||||
};
|
||||
|
||||
let solution = solve(&input).expect("solver should find a feasible forwarding layout");
|
||||
|
|
|
|||
|
|
@ -43,8 +43,10 @@ impl DB for MemDB {
|
|||
let mut values = self.values.write().expect("lock not poisoned");
|
||||
let value_raw = value.raw();
|
||||
if let Some(old_value) = values.get(&value_raw) {
|
||||
// If we had a non-raw value stored never overwrite it with a raw value
|
||||
if !old_value.is_raw() && value.is_raw() {
|
||||
let old_is_raw = old_value.is_raw();
|
||||
// If we had a non-RawValue stored don't overwrite it (specially not with a
|
||||
// RawValue). Also skip redundant RawValue overwrite.
|
||||
if !old_is_raw || value.is_raw() {
|
||||
return Ok(());
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue