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use super::compress_selectors;
use super::expression::sealed;
use crate::plonk::{
lookup, permutation, shuffle, Advice, AdviceQuery, Challenge, Column, Expression, FirstPhase,
Fixed, FixedQuery, Instance, InstanceQuery, Phase, Selector, TableColumn,
};
use core::cmp::max;
use halo2_middleware::circuit::{Any, ColumnMid, ConstraintSystemMid, GateMid};
use halo2_middleware::ff::Field;
use halo2_middleware::poly::Rotation;
use std::collections::HashMap;
use std::convert::TryFrom;
use std::fmt::Debug;
/// Represents an index into a vector where each entry corresponds to a distinct
/// point that polynomials are queried at.
#[derive(Copy, Clone, Debug)]
#[allow(dead_code)]
pub(crate) struct PointIndex(pub usize);
/// A "virtual cell" is a PLONK cell that has been queried at a particular relative offset
/// within a custom gate.
#[derive(Clone, Debug)]
pub struct VirtualCell {
pub column: Column<Any>,
pub rotation: Rotation,
}
impl<Col: Into<Column<Any>>> From<(Col, Rotation)> for VirtualCell {
fn from((column, rotation): (Col, Rotation)) -> Self {
VirtualCell {
column: column.into(),
rotation,
}
}
}
/// An individual polynomial constraint.
///
/// These are returned by the closures passed to `ConstraintSystem::create_gate`.
#[derive(Debug)]
pub struct Constraint<F: Field> {
name: String,
poly: Expression<F>,
}
impl<F: Field> From<Expression<F>> for Constraint<F> {
fn from(poly: Expression<F>) -> Self {
Constraint {
name: "".to_string(),
poly,
}
}
}
impl<F: Field, S: AsRef<str>> From<(S, Expression<F>)> for Constraint<F> {
fn from((name, poly): (S, Expression<F>)) -> Self {
Constraint {
name: name.as_ref().to_string(),
poly,
}
}
}
impl<F: Field> From<Expression<F>> for Vec<Constraint<F>> {
fn from(poly: Expression<F>) -> Self {
vec![Constraint {
name: "".to_string(),
poly,
}]
}
}
/// A set of polynomial constraints with a common selector.
///
/// ```
/// use halo2_middleware::poly::Rotation;
/// use halo2curves::pasta::Fp;
/// # use halo2_frontend::plonk::{Constraints, Expression, ConstraintSystem};
///
/// # let mut meta = ConstraintSystem::<Fp>::default();
/// let a = meta.advice_column();
/// let b = meta.advice_column();
/// let c = meta.advice_column();
/// let s = meta.selector();
///
/// meta.create_gate("foo", |meta| {
/// let next = meta.query_advice(a, Rotation::next());
/// let a = meta.query_advice(a, Rotation::cur());
/// let b = meta.query_advice(b, Rotation::cur());
/// let c = meta.query_advice(c, Rotation::cur());
/// let s_ternary = meta.query_selector(s);
///
/// let one_minus_a = Expression::Constant(Fp::one()) - a.clone();
///
/// Constraints::with_selector(
/// s_ternary,
/// std::array::IntoIter::new([
/// ("a is boolean", a.clone() * one_minus_a.clone()),
/// ("next == a ? b : c", next - (a * b + one_minus_a * c)),
/// ]),
/// )
/// });
/// ```
///
/// Note that the use of `std::array::IntoIter::new` is only necessary if you need to
/// support Rust 1.51 or 1.52. If your minimum supported Rust version is 1.53 or greater,
/// you can pass an array directly.
#[derive(Debug)]
pub struct Constraints<F: Field, C: Into<Constraint<F>>, Iter: IntoIterator<Item = C>> {
selector: Expression<F>,
constraints: Iter,
}
impl<F: Field, C: Into<Constraint<F>>, Iter: IntoIterator<Item = C>> Constraints<F, C, Iter> {
/// Constructs a set of constraints that are controlled by the given selector.
///
/// Each constraint `c` in `iterator` will be converted into the constraint
/// `selector * c`.
pub fn with_selector(selector: Expression<F>, constraints: Iter) -> Self {
Constraints {
selector,
constraints,
}
}
}
fn apply_selector_to_constraint<F: Field, C: Into<Constraint<F>>>(
(selector, c): (Expression<F>, C),
) -> Constraint<F> {
let constraint: Constraint<F> = c.into();
Constraint {
name: constraint.name,
poly: selector * constraint.poly,
}
}
type ApplySelectorToConstraint<F, C> = fn((Expression<F>, C)) -> Constraint<F>;
type ConstraintsIterator<F, C, I> = std::iter::Map<
std::iter::Zip<std::iter::Repeat<Expression<F>>, I>,
ApplySelectorToConstraint<F, C>,
>;
impl<F: Field, C: Into<Constraint<F>>, Iter: IntoIterator<Item = C>> IntoIterator
for Constraints<F, C, Iter>
{
type Item = Constraint<F>;
type IntoIter = ConstraintsIterator<F, C, Iter::IntoIter>;
fn into_iter(self) -> Self::IntoIter {
std::iter::repeat(self.selector)
.zip(self.constraints)
.map(apply_selector_to_constraint)
}
}
/// Gate
#[derive(Clone, Debug)]
pub struct Gate<F: Field> {
pub(crate) name: String,
pub(crate) constraint_names: Vec<String>,
pub(crate) polys: Vec<Expression<F>>,
/// We track queried selectors separately from other cells, so that we can use them to
/// trigger debug checks on gates.
pub(crate) queried_selectors: Vec<Selector>,
pub(crate) queried_cells: Vec<VirtualCell>,
}
impl<F: Field> Gate<F> {
/// Returns the gate name.
pub fn name(&self) -> &str {
self.name.as_str()
}
/// Returns the name of the constraint at index `constraint_index`.
pub fn constraint_name(&self, constraint_index: usize) -> &str {
self.constraint_names[constraint_index].as_str()
}
/// Returns constraints of this gate
pub fn polynomials(&self) -> &[Expression<F>] {
&self.polys
}
pub fn queried_selectors(&self) -> &[Selector] {
&self.queried_selectors
}
pub fn queried_cells(&self) -> &[VirtualCell] {
&self.queried_cells
}
}
impl<F: Field> From<ConstraintSystem<F>> for ConstraintSystemMid<F> {
fn from(cs: ConstraintSystem<F>) -> Self {
ConstraintSystemMid {
num_fixed_columns: cs.num_fixed_columns,
num_advice_columns: cs.num_advice_columns,
num_instance_columns: cs.num_instance_columns,
num_challenges: cs.num_challenges,
unblinded_advice_columns: cs.unblinded_advice_columns,
advice_column_phase: cs.advice_column_phase.iter().map(|p| p.0).collect(),
challenge_phase: cs.challenge_phase.iter().map(|p| p.0).collect(),
gates: cs
.gates
.into_iter()
.flat_map(|mut g| {
let constraint_names = std::mem::take(&mut g.constraint_names);
let gate_name = g.name.clone();
g.polys.into_iter().enumerate().map(move |(i, e)| {
let name = match constraint_names[i].as_str() {
"" => gate_name.clone(),
constraint_name => format!("{gate_name}:{constraint_name}"),
};
GateMid {
name,
poly: e.into(),
}
})
})
.collect(),
permutation: halo2_middleware::permutation::ArgumentMid {
columns: cs
.permutation
.columns
.into_iter()
.map(|c| c.into())
.collect(),
},
lookups: cs
.lookups
.into_iter()
.map(|l| halo2_middleware::lookup::ArgumentMid {
name: l.name,
input_expressions: l.input_expressions.into_iter().map(|e| e.into()).collect(),
table_expressions: l.table_expressions.into_iter().map(|e| e.into()).collect(),
})
.collect(),
shuffles: cs
.shuffles
.into_iter()
.map(|s| halo2_middleware::shuffle::ArgumentMid {
name: s.name.clone(),
input_expressions: s.input_expressions.into_iter().map(|e| e.into()).collect(),
shuffle_expressions: s
.shuffle_expressions
.into_iter()
.map(|e| e.into())
.collect(),
})
.collect(),
general_column_annotations: cs.general_column_annotations,
minimum_degree: cs.minimum_degree,
}
}
}
/// This is a description of the circuit environment, such as the gate, column and
/// permutation arrangements.
#[derive(Debug, Clone)]
pub struct ConstraintSystem<F: Field> {
pub(crate) num_fixed_columns: usize,
pub(crate) num_advice_columns: usize,
pub(crate) num_instance_columns: usize,
pub(crate) num_selectors: usize,
pub(crate) num_challenges: usize,
/// Contains the index of each advice column that is left unblinded.
pub(crate) unblinded_advice_columns: Vec<usize>,
/// Contains the phase for each advice column. Should have same length as num_advice_columns.
pub(crate) advice_column_phase: Vec<sealed::Phase>,
/// Contains the phase for each challenge. Should have same length as num_challenges.
pub(crate) challenge_phase: Vec<sealed::Phase>,
/// This is a cached vector that maps virtual selectors to the concrete
/// fixed column that they were compressed into. This is just used by dev
/// tooling right now.
pub(crate) selector_map: Vec<Column<Fixed>>,
pub(crate) gates: Vec<Gate<F>>,
pub(crate) advice_queries: Vec<(Column<Advice>, Rotation)>,
// Contains an integer for each advice column
// identifying how many distinct queries it has
// so far; should be same length as num_advice_columns.
pub(crate) num_advice_queries: Vec<usize>,
pub(crate) instance_queries: Vec<(Column<Instance>, Rotation)>,
pub(crate) fixed_queries: Vec<(Column<Fixed>, Rotation)>,
// Permutation argument for performing equality constraints
pub(crate) permutation: permutation::Argument,
// Vector of lookup arguments, where each corresponds to a sequence of
// input expressions and a sequence of table expressions involved in the lookup.
pub(crate) lookups: Vec<lookup::Argument<F>>,
// Vector of shuffle arguments, where each corresponds to a sequence of
// input expressions and a sequence of shuffle expressions involved in the shuffle.
pub(crate) shuffles: Vec<shuffle::Argument<F>>,
// List of indexes of Fixed columns which are associated to a circuit-general Column tied to their annotation.
pub(crate) general_column_annotations: HashMap<ColumnMid, String>,
// Vector of fixed columns, which can be used to store constant values
// that are copied into advice columns.
pub(crate) constants: Vec<Column<Fixed>>,
pub(crate) minimum_degree: Option<usize>,
}
impl<F: Field> Default for ConstraintSystem<F> {
fn default() -> ConstraintSystem<F> {
ConstraintSystem {
num_fixed_columns: 0,
num_advice_columns: 0,
num_instance_columns: 0,
num_selectors: 0,
num_challenges: 0,
unblinded_advice_columns: Vec::new(),
advice_column_phase: Vec::new(),
challenge_phase: Vec::new(),
selector_map: vec![],
gates: vec![],
fixed_queries: Vec::new(),
advice_queries: Vec::new(),
num_advice_queries: Vec::new(),
instance_queries: Vec::new(),
permutation: permutation::Argument::default(),
lookups: Vec::new(),
shuffles: Vec::new(),
general_column_annotations: HashMap::new(),
constants: vec![],
minimum_degree: None,
}
}
}
impl<F: Field> ConstraintSystem<F> {
/// Enables this fixed column to be used for global constant assignments.
///
/// # Side-effects
///
/// The column will be equality-enabled.
pub fn enable_constant(&mut self, column: Column<Fixed>) {
if !self.constants.contains(&column) {
self.constants.push(column);
self.enable_equality(column);
}
}
/// Enable the ability to enforce equality over cells in this column
pub fn enable_equality<C: Into<Column<Any>>>(&mut self, column: C) {
let column = column.into();
self.query_any_index(column, Rotation::cur());
self.permutation.add_column(column);
}
/// Add a lookup argument for some input expressions and table columns.
///
/// `table_map` returns a map between input expressions and the table columns
/// they need to match.
pub fn lookup<S: AsRef<str>>(
&mut self,
name: S,
table_map: impl FnOnce(&mut VirtualCells<'_, F>) -> Vec<(Expression<F>, TableColumn)>,
) -> usize {
let mut cells = VirtualCells::new(self);
let table_map = table_map(&mut cells)
.into_iter()
.map(|(mut input, table)| {
if input.contains_simple_selector() {
panic!("expression containing simple selector supplied to lookup argument");
}
let mut table = cells.query_fixed(table.inner(), Rotation::cur());
input.query_cells(&mut cells);
table.query_cells(&mut cells);
(input, table)
})
.collect();
let index = self.lookups.len();
self.lookups
.push(lookup::Argument::new(name.as_ref(), table_map));
index
}
/// Add a lookup argument for some input expressions and table expressions.
///
/// `table_map` returns a map between input expressions and the table expressions
/// they need to match.
///
/// **NOTE:**
/// We should use extra `Fixed` column or `Selector` for tagging the table rows.
/// Also, it is needed to include a pair of tagging expressions(`[lookup_activator, table_activator]`) in the `table_map`.
/// Otherwise, we have soundness error.(See [here](https://github.com/privacy-scaling-explorations/halo2/issues/335))
/// For correct use, please reference
/// [here](https://github.com/privacy-scaling-explorations/halo2/blob/main/halo2_proofs/tests/frontend_backend_split.rs)
/// and [here](https://github.com/privacy-scaling-explorations/halo2/blob/main/halo2_frontend/src/dev.rs).
pub fn lookup_any<S: AsRef<str>>(
&mut self,
name: S,
table_map: impl FnOnce(&mut VirtualCells<'_, F>) -> Vec<(Expression<F>, Expression<F>)>,
) -> usize {
let mut cells = VirtualCells::new(self);
let mut is_all_table_expr_single_fixed = true;
let mut is_all_table_expr_contain_fixed_or_selector = true;
let mut is_tagging_exprs_pair_exists = false;
let table_map = table_map(&mut cells)
.into_iter()
.map(|(mut input, mut table)| {
if input.contains_simple_selector() {
panic!("expression containing simple selector supplied to lookup argument");
}
if table.contains_simple_selector() {
panic!("expression containing simple selector supplied to lookup argument");
}
is_all_table_expr_single_fixed &= table.degree() == 1 && table.contains_fixed_col();
is_all_table_expr_contain_fixed_or_selector &=
table.contains_fixed_col_or_selector();
is_tagging_exprs_pair_exists |=
table.contains_fixed_col_or_selector() && table.degree() == 1;
input.query_cells(&mut cells);
table.query_cells(&mut cells);
(input, table)
})
.collect();
#[cfg(feature = "lookup-any-sanity-checks")]
{
// NOTE: These checks try to detect unsound cases of lookups and are only active
// with the `lookup-any-sanity-checks`. False positives may exist: in some
// particular scenarios the lookup can be sound but these checks will not pass,
// leading to panics. For those cases you can disable the
// `lookup-any-sanity-checks` feature. We will appreciate it if you report false
// positives by opening issues on the repository.
if is_all_table_expr_single_fixed {
panic!("all table expressions contain only fixed query, should use `lookup` api instead of `lookup_any`");
}
if !is_all_table_expr_contain_fixed_or_selector {
panic!("all table expressions need selector/fixed query for tagging");
}
if !is_tagging_exprs_pair_exists {
panic!("pair of tagging expressions(query of the tag columns or multiple query combinations) should be included");
}
}
let index = self.lookups.len();
self.lookups
.push(lookup::Argument::new(name.as_ref(), table_map));
index
}
/// Add a shuffle argument for some input expressions and table expressions.
pub fn shuffle<S: AsRef<str>>(
&mut self,
name: S,
shuffle_map: impl FnOnce(&mut VirtualCells<'_, F>) -> Vec<(Expression<F>, Expression<F>)>,
) -> usize {
let mut cells = VirtualCells::new(self);
let shuffle_map = shuffle_map(&mut cells)
.into_iter()
.map(|(mut input, mut table)| {
input.query_cells(&mut cells);
table.query_cells(&mut cells);
(input, table)
})
.collect();
let index = self.shuffles.len();
self.shuffles
.push(shuffle::Argument::new(name.as_ref(), shuffle_map));
index
}
pub(super) fn query_fixed_index(&mut self, column: Column<Fixed>, at: Rotation) -> usize {
// Return existing query, if it exists
for (index, fixed_query) in self.fixed_queries.iter().enumerate() {
if fixed_query == &(column, at) {
return index;
}
}
// Make a new query
let index = self.fixed_queries.len();
self.fixed_queries.push((column, at));
index
}
pub(crate) fn query_advice_index(&mut self, column: Column<Advice>, at: Rotation) -> usize {
// Return existing query, if it exists
for (index, advice_query) in self.advice_queries.iter().enumerate() {
if advice_query == &(column, at) {
return index;
}
}
// Make a new query
let index = self.advice_queries.len();
self.advice_queries.push((column, at));
self.num_advice_queries[column.index] += 1;
index
}
pub(super) fn query_instance_index(&mut self, column: Column<Instance>, at: Rotation) -> usize {
// Return existing query, if it exists
for (index, instance_query) in self.instance_queries.iter().enumerate() {
if instance_query == &(column, at) {
return index;
}
}
// Make a new query
let index = self.instance_queries.len();
self.instance_queries.push((column, at));
index
}
fn query_any_index(&mut self, column: Column<Any>, at: Rotation) -> usize {
match column.column_type() {
Any::Advice => self.query_advice_index(Column::<Advice>::try_from(column).unwrap(), at),
Any::Fixed => self.query_fixed_index(Column::<Fixed>::try_from(column).unwrap(), at),
Any::Instance => {
self.query_instance_index(Column::<Instance>::try_from(column).unwrap(), at)
}
}
}
pub(crate) fn get_advice_query_index(&self, column: Column<Advice>, at: Rotation) -> usize {
for (index, advice_query) in self.advice_queries.iter().enumerate() {
if advice_query == &(column, at) {
return index;
}
}
panic!("get_advice_query_index called for non-existent query");
}
pub(crate) fn get_fixed_query_index(&self, column: Column<Fixed>, at: Rotation) -> usize {
for (index, fixed_query) in self.fixed_queries.iter().enumerate() {
if fixed_query == &(column, at) {
return index;
}
}
panic!("get_fixed_query_index called for non-existent query");
}
pub(crate) fn get_instance_query_index(&self, column: Column<Instance>, at: Rotation) -> usize {
for (index, instance_query) in self.instance_queries.iter().enumerate() {
if instance_query == &(column, at) {
return index;
}
}
panic!("get_instance_query_index called for non-existent query");
}
pub fn get_any_query_index(&self, column: Column<Any>, at: Rotation) -> usize {
match column.column_type() {
Any::Advice => {
self.get_advice_query_index(Column::<Advice>::try_from(column).unwrap(), at)
}
Any::Fixed => {
self.get_fixed_query_index(Column::<Fixed>::try_from(column).unwrap(), at)
}
Any::Instance => {
self.get_instance_query_index(Column::<Instance>::try_from(column).unwrap(), at)
}
}
}
/// Sets the minimum degree required by the circuit, which can be set to a
/// larger amount than actually needed. This can be used, for example, to
/// force the permutation argument to involve more columns in the same set.
pub fn set_minimum_degree(&mut self, degree: usize) {
self.minimum_degree = Some(degree);
}
/// Creates a new gate.
///
/// # Panics
///
/// A gate is required to contain polynomial constraints. This method will panic if
/// `constraints` returns an empty iterator.
pub fn create_gate<C: Into<Constraint<F>>, Iter: IntoIterator<Item = C>, S: AsRef<str>>(
&mut self,
name: S,
constraints: impl FnOnce(&mut VirtualCells<'_, F>) -> Iter,
) {
let mut cells = VirtualCells::new(self);
let constraints = constraints(&mut cells);
let (constraint_names, polys): (_, Vec<_>) = constraints
.into_iter()
.map(|c| c.into())
.map(|mut c: Constraint<F>| {
c.poly.query_cells(&mut cells);
(c.name, c.poly)
})
.unzip();
let queried_selectors = cells.queried_selectors;
let queried_cells = cells.queried_cells;
assert!(
!polys.is_empty(),
"Gates must contain at least one constraint."
);
self.gates.push(Gate {
name: name.as_ref().to_string(),
constraint_names,
polys,
queried_selectors,
queried_cells,
});
}
/// This will compress selectors together depending on their provided
/// assignments. This `ConstraintSystem` will then be modified to add new
/// fixed columns (representing the actual selectors) and will return the
/// polynomials for those columns. Finally, an internal map is updated to
/// find which fixed column corresponds with a given `Selector`.
///
/// Do not call this twice. Yes, this should be a builder pattern instead.
pub fn compress_selectors(mut self, selectors: Vec<Vec<bool>>) -> (Self, Vec<Vec<F>>) {
// The number of provided selector assignments must be the number we
// counted for this constraint system.
assert_eq!(selectors.len(), self.num_selectors);
// Compute the maximal degree of every selector. We only consider the
// expressions in gates, as lookup arguments cannot support simple
// selectors. Selectors that are complex or do not appear in any gates
// will have degree zero.
let mut degrees = vec![0; selectors.len()];
for expr in self.gates.iter().flat_map(|gate| gate.polys.iter()) {
if let Some(selector) = expr.extract_simple_selector() {
degrees[selector.0] = max(degrees[selector.0], expr.degree());
}
}
// We will not increase the degree of the constraint system, so we limit
// ourselves to the largest existing degree constraint.
let max_degree = self.degree();
let mut new_columns = vec![];
let (polys, selector_assignment) = compress_selectors::process(
selectors
.into_iter()
.zip(degrees)
.enumerate()
.map(
|(i, (activations, max_degree))| compress_selectors::SelectorDescription {
selector: i,
activations,
max_degree,
},
)
.collect(),
max_degree,
|| {
let column = self.fixed_column();
new_columns.push(column);
Expression::Fixed(FixedQuery {
index: Some(self.query_fixed_index(column, Rotation::cur())),
column_index: column.index,
rotation: Rotation::cur(),
})
},
);
let mut selector_map = vec![None; selector_assignment.len()];
let mut selector_replacements = vec![None; selector_assignment.len()];
for assignment in selector_assignment {
selector_replacements[assignment.selector] = Some(assignment.expression);
selector_map[assignment.selector] = Some(new_columns[assignment.combination_index]);
}
self.selector_map = selector_map
.into_iter()
.map(|a| a.unwrap())
.collect::<Vec<_>>();
let selector_replacements = selector_replacements
.into_iter()
.map(|a| a.unwrap())
.collect::<Vec<_>>();
self.replace_selectors_with_fixed(&selector_replacements);
(self, polys)
}
/// Does not combine selectors and directly replaces them everywhere with fixed columns.
pub fn directly_convert_selectors_to_fixed(
mut self,
selectors: Vec<Vec<bool>>,
) -> (Self, Vec<Vec<F>>) {
// The number of provided selector assignments must be the number we
// counted for this constraint system.
assert_eq!(selectors.len(), self.num_selectors);
let (polys, selector_replacements): (Vec<_>, Vec<_>) = selectors
.into_iter()
.map(|selector| {
let poly = selector
.iter()
.map(|b| if *b { F::ONE } else { F::ZERO })
.collect::<Vec<_>>();
let column = self.fixed_column();
let rotation = Rotation::cur();
let expr = Expression::Fixed(FixedQuery {
index: Some(self.query_fixed_index(column, rotation)),
column_index: column.index,
rotation,
});
(poly, expr)
})
.unzip();
self.replace_selectors_with_fixed(&selector_replacements);
self.num_selectors = 0;
(self, polys)
}
fn replace_selectors_with_fixed(&mut self, selector_replacements: &[Expression<F>]) {
fn replace_selectors<F: Field>(
expr: &mut Expression<F>,
selector_replacements: &[Expression<F>],
must_be_nonsimple: bool,
) {
*expr = expr.evaluate(
&|constant| Expression::Constant(constant),
&|selector| {
if must_be_nonsimple {
// Simple selectors are prohibited from appearing in
// expressions in the lookup argument by
// `ConstraintSystem`.
assert!(!selector.is_simple());
}
selector_replacements[selector.0].clone()
},
&|query| Expression::Fixed(query),
&|query| Expression::Advice(query),
&|query| Expression::Instance(query),
&|challenge| Expression::Challenge(challenge),
&|a| -a,
&|a, b| a + b,
&|a, b| a * b,
&|a, f| a * f,
);
}
// Substitute selectors for the real fixed columns in all gates
for expr in self.gates.iter_mut().flat_map(|gate| gate.polys.iter_mut()) {
replace_selectors(expr, selector_replacements, false);
}
// Substitute non-simple selectors for the real fixed columns in all
// lookup expressions
for expr in self.lookups.iter_mut().flat_map(|lookup| {
lookup
.input_expressions
.iter_mut()
.chain(lookup.table_expressions.iter_mut())
}) {
replace_selectors(expr, selector_replacements, true);
}
for expr in self.shuffles.iter_mut().flat_map(|shuffle| {
shuffle
.input_expressions
.iter_mut()
.chain(shuffle.shuffle_expressions.iter_mut())
}) {
replace_selectors(expr, selector_replacements, true);
}
}
/// Allocate a new (simple) selector. Simple selectors cannot be added to
/// expressions nor multiplied by other expressions containing simple
/// selectors. Also, simple selectors may not appear in lookup argument
/// inputs.
pub fn selector(&mut self) -> Selector {
let index = self.num_selectors;
self.num_selectors += 1;
Selector(index, true)
}
/// Allocate a new complex selector that can appear anywhere
/// within expressions.
pub fn complex_selector(&mut self) -> Selector {
let index = self.num_selectors;
self.num_selectors += 1;
Selector(index, false)
}
/// Allocates a new fixed column that can be used in a lookup table.
pub fn lookup_table_column(&mut self) -> TableColumn {
TableColumn {
inner: self.fixed_column(),
}
}
/// Annotate a Lookup column.
pub fn annotate_lookup_column<A, AR>(&mut self, column: TableColumn, annotation: A)
where
A: Fn() -> AR,
AR: Into<String>,
{
// We don't care if the table has already an annotation. If it's the case we keep the new one.
self.general_column_annotations.insert(
ColumnMid {
index: column.inner().index,
column_type: halo2_middleware::circuit::Any::Fixed,
},
annotation().into(),
);
}
/// Annotate an Instance column.
pub fn annotate_lookup_any_column<A, AR, T>(&mut self, column: T, annotation: A)
where
A: Fn() -> AR,
AR: Into<String>,
T: Into<Column<Any>>,
{
self.annotate_column(column, annotation)
}
/// Annotate a column.
pub fn annotate_column<A, AR, T>(&mut self, column: T, annotation: A)
where
A: Fn() -> AR,
AR: Into<String>,
T: Into<Column<Any>>,
{
let col_any = column.into();
// We don't care if the table has already an annotation. If it's the case we keep the new one.
self.general_column_annotations.insert(
ColumnMid {
column_type: col_any.column_type,
index: col_any.index,
},
annotation().into(),
);
}
/// Allocate a new fixed column
pub fn fixed_column(&mut self) -> Column<Fixed> {
let tmp = Column {
index: self.num_fixed_columns,
column_type: Fixed,
};
self.num_fixed_columns += 1;
tmp
}
/// Allocate a new unblinded advice column at `FirstPhase`
pub fn unblinded_advice_column(&mut self) -> Column<Advice> {
self.unblinded_advice_column_in(FirstPhase)
}
/// Allocate a new advice column at `FirstPhase`
pub fn advice_column(&mut self) -> Column<Advice> {
self.advice_column_in(FirstPhase)
}
/// Allocate a new unblinded advice column in given phase. This allows for the generation of deterministic commitments to advice columns
/// which can be used to split large circuits into smaller ones, whose proofs can then be "joined" together by their common witness commitments.
pub fn unblinded_advice_column_in<P: Phase>(&mut self, phase: P) -> Column<Advice> {
let phase = phase.to_sealed();
if let Some(previous_phase) = phase.prev() {
self.assert_phase_exists(
previous_phase,
format!("Column<Advice> in later phase {phase:?}").as_str(),
);
}
let tmp = Column {
index: self.num_advice_columns,
column_type: Advice,
};
self.unblinded_advice_columns.push(tmp.index);
self.num_advice_columns += 1;
self.num_advice_queries.push(0);
self.advice_column_phase.push(phase);
tmp
}
/// Allocate a new advice column in given phase
///
/// # Panics
///
/// It panics if previous phase before the given one doesn't have advice column allocated.
pub fn advice_column_in<P: Phase>(&mut self, phase: P) -> Column<Advice> {
let phase = phase.to_sealed();
if let Some(previous_phase) = phase.prev() {
self.assert_phase_exists(
previous_phase,
format!("Column<Advice> in later phase {phase:?}").as_str(),
);
}
let tmp = Column {
index: self.num_advice_columns,
column_type: Advice,
};
self.num_advice_columns += 1;
self.num_advice_queries.push(0);
self.advice_column_phase.push(phase);
tmp
}
/// Allocate a new instance column
pub fn instance_column(&mut self) -> Column<Instance> {
let tmp = Column {
index: self.num_instance_columns,
column_type: Instance,
};
self.num_instance_columns += 1;
tmp
}
/// Requests a challenge that is usable after the given phase.
///
/// # Panics
///
/// It panics if the given phase doesn't have advice column allocated.
pub fn challenge_usable_after<P: Phase>(&mut self, phase: P) -> Challenge {
let phase = phase.to_sealed();
self.assert_phase_exists(
phase,
format!("Challenge usable after phase {phase:?}").as_str(),
);
let tmp = Challenge {
index: self.num_challenges,
phase: phase.0,
};
self.num_challenges += 1;
self.challenge_phase.push(phase);
tmp
}
/// Helper function to assert phase exists, to make sure phase-aware resources
/// are allocated in order, and to avoid any phase to be skipped accidentally
/// to cause unexpected issue in the future.
fn assert_phase_exists(&self, phase: sealed::Phase, resource: &str) {
self.advice_column_phase
.iter()
.find(|advice_column_phase| **advice_column_phase == phase)
.unwrap_or_else(|| {
panic!(
"No Column<Advice> is used in phase {phase:?} while allocating a new {resource:?}"
)
});
}
/// Returns the list of phases
pub fn phases(&self) -> impl Iterator<Item = sealed::Phase> {
let max_phase = self
.advice_column_phase
.iter()
.max()
.map(|phase| phase.0)
.unwrap_or_default();
(0..=max_phase).map(sealed::Phase)
}
/// Compute the degree of the constraint system (the maximum degree of all
/// constraints).
pub fn degree(&self) -> usize {
// The permutation argument will serve alongside the gates, so must be
// accounted for.
let mut degree = self.permutation.required_degree();
// The lookup argument also serves alongside the gates and must be accounted
// for.
degree = std::cmp::max(
degree,
self.lookups
.iter()
.map(|l| l.required_degree())
.max()
.unwrap_or(1),
);
// The lookup argument also serves alongside the gates and must be accounted
// for.
degree = std::cmp::max(
degree,
self.shuffles
.iter()
.map(|l| l.required_degree())
.max()
.unwrap_or(1),
);
// Account for each gate to ensure our quotient polynomial is the
// correct degree and that our extended domain is the right size.
degree = std::cmp::max(
degree,
self.gates
.iter()
.flat_map(|gate| gate.polynomials().iter().map(|poly| poly.degree()))
.max()
.unwrap_or(0),
);
std::cmp::max(degree, self.minimum_degree.unwrap_or(1))
}
/// Compute the number of blinding factors necessary to perfectly blind
/// each of the prover's witness polynomials.
pub fn blinding_factors(&self) -> usize {
// All of the prover's advice columns are evaluated at no more than
let factors = *self.num_advice_queries.iter().max().unwrap_or(&1);
// distinct points during gate checks.
// - The permutation argument witness polynomials are evaluated at most 3 times.
// - Each lookup argument has independent witness polynomials, and they are
// evaluated at most 2 times.
let factors = std::cmp::max(3, factors);
// Each polynomial is evaluated at most an additional time during
// multiopen (at x_3 to produce q_evals):
let factors = factors + 1;
// h(x) is derived by the other evaluations so it does not reveal
// anything; in fact it does not even appear in the proof.
// h(x_3) is also not revealed; the verifier only learns a single
// evaluation of a polynomial in x_1 which has h(x_3) and another random
// polynomial evaluated at x_3 as coefficients -- this random polynomial
// is "random_poly" in the vanishing argument.
// Add an additional blinding factor as a slight defense against
// off-by-one errors.
factors + 1
}
/// Returns the minimum necessary rows that need to exist in order to
/// account for e.g. blinding factors.
pub fn minimum_rows(&self) -> usize {
self.blinding_factors() // m blinding factors
+ 1 // for l_{-(m + 1)} (l_last)
+ 1 // for l_0 (just for extra breathing room for the permutation
// argument, to essentially force a separation in the
// permutation polynomial between the roles of l_last, l_0
// and the interstitial values.)
+ 1 // for at least one row
}
/// Returns number of fixed columns
pub fn num_fixed_columns(&self) -> usize {
self.num_fixed_columns
}
/// Returns number of advice columns
pub fn num_advice_columns(&self) -> usize {
self.num_advice_columns
}
/// Returns number of instance columns
pub fn num_instance_columns(&self) -> usize {
self.num_instance_columns
}
/// Returns number of selectors
pub fn num_selectors(&self) -> usize {
self.num_selectors
}
/// Returns number of challenges
pub fn num_challenges(&self) -> usize {
self.num_challenges
}
/// Returns phase of advice columns
pub fn advice_column_phase(&self) -> Vec<u8> {
self.advice_column_phase
.iter()
.map(|phase| phase.0)
.collect()
}
/// Returns phase of challenges
pub fn challenge_phase(&self) -> Vec<u8> {
self.challenge_phase.iter().map(|phase| phase.0).collect()
}
/// Returns gates
pub fn gates(&self) -> &Vec<Gate<F>> {
&self.gates
}
/// Returns general column annotations
pub fn general_column_annotations(&self) -> &HashMap<ColumnMid, String> {
&self.general_column_annotations
}
/// Returns advice queries
pub fn advice_queries(&self) -> &Vec<(Column<Advice>, Rotation)> {
&self.advice_queries
}
/// Returns instance queries
pub fn instance_queries(&self) -> &Vec<(Column<Instance>, Rotation)> {
&self.instance_queries
}
/// Returns fixed queries
pub fn fixed_queries(&self) -> &Vec<(Column<Fixed>, Rotation)> {
&self.fixed_queries
}
/// Returns permutation argument
pub fn permutation(&self) -> &permutation::Argument {
&self.permutation
}
/// Returns lookup arguments
pub fn lookups(&self) -> &Vec<lookup::Argument<F>> {
&self.lookups
}
/// Returns shuffle arguments
pub fn shuffles(&self) -> &Vec<shuffle::Argument<F>> {
&self.shuffles
}
/// Returns constants
pub fn constants(&self) -> &Vec<Column<Fixed>> {
&self.constants
}
}
/// Exposes the "virtual cells" that can be queried while creating a custom gate or lookup
/// table.
#[derive(Debug)]
pub struct VirtualCells<'a, F: Field> {
pub(super) meta: &'a mut ConstraintSystem<F>,
pub(super) queried_selectors: Vec<Selector>,
pub(super) queried_cells: Vec<VirtualCell>,
}
impl<'a, F: Field> VirtualCells<'a, F> {
fn new(meta: &'a mut ConstraintSystem<F>) -> Self {
VirtualCells {
meta,
queried_selectors: vec![],
queried_cells: vec![],
}
}
/// Query a selector at the current position.
pub fn query_selector(&mut self, selector: Selector) -> Expression<F> {
self.queried_selectors.push(selector);
Expression::Selector(selector)
}
/// Query a fixed column at a relative position
pub fn query_fixed(&mut self, column: Column<Fixed>, at: Rotation) -> Expression<F> {
self.queried_cells.push((column, at).into());
Expression::Fixed(FixedQuery {
index: Some(self.meta.query_fixed_index(column, at)),
column_index: column.index,
rotation: at,
})
}
/// Query an advice column at a relative position
pub fn query_advice(&mut self, column: Column<Advice>, at: Rotation) -> Expression<F> {
self.queried_cells.push((column, at).into());
Expression::Advice(AdviceQuery {
index: Some(self.meta.query_advice_index(column, at)),
column_index: column.index,
rotation: at,
})
}
/// Query an instance column at a relative position
pub fn query_instance(&mut self, column: Column<Instance>, at: Rotation) -> Expression<F> {
self.queried_cells.push((column, at).into());
Expression::Instance(InstanceQuery {
index: Some(self.meta.query_instance_index(column, at)),
column_index: column.index,
rotation: at,
})
}
/// Query an Any column at a relative position
pub fn query_any<C: Into<Column<Any>>>(&mut self, column: C, at: Rotation) -> Expression<F> {
let column = column.into();
match column.column_type() {
Any::Advice => self.query_advice(Column::<Advice>::try_from(column).unwrap(), at),
Any::Fixed => self.query_fixed(Column::<Fixed>::try_from(column).unwrap(), at),
Any::Instance => self.query_instance(Column::<Instance>::try_from(column).unwrap(), at),
}
}
/// Query a challenge
pub fn query_challenge(&mut self, challenge: Challenge) -> Expression<F> {
Expression::Challenge(challenge)
}
}