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use crate::{
circuit_design::capabilities::{
ColAccessCap, ColWriteCap, DirectWitnessCap, HybridCopyCap, LookupCap, MultiRowReadCap,
},
columns::{Column, ColumnIndexer},
logup::{Logup, LogupWitness, LookupTableID},
proof::ProofInputs,
witness::Witness,
};
use ark_ff::PrimeField;
use log::debug;
use std::{collections::BTreeMap, iter, marker::PhantomData};
/// Witness builder environment. Operates on multiple rows at the same
/// time. `CIx::N_COL` must be equal to `N_WIT + N_FSEL`; passing these two
/// separately is due to a rust limitation.
pub struct WitnessBuilderEnv<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> {
/// The witness columns that the environment is working with.
/// Every element of the vector is a row, and the builder is
/// always processing the last row.
pub witness: Vec<Witness<N_WIT, F>>,
/// Lookup multiplicities, a vector of values `m_i` per lookup
/// table, where `m_i` is how many times the lookup value number
/// `i` was looked up.
pub lookup_multiplicities: BTreeMap<LT, Vec<u64>>,
/// Lookup "read" requests per table. Each element of the map is a
/// vector of <#number_of_reads_per_row> columns. Each column is a
/// vector of elements. Each element is vector of field elements.
///
/// - `lookup_reads[table_id][read_i]` is a column corresponding to a read #`read_i` per row.
/// - `lookup_reads[table_id][read_i][row_i]` is a value-vector that's looked up at `row_i`
pub lookup_reads: BTreeMap<LT, Vec<Vec<Vec<F>>>>,
/// Values for runtime tables. Each element (value) in the map is
/// a set of on-the-fly built columns, one column per write.
///
/// Format is the same as `lookup_reads`.
///
/// - `runtime_tables[table_id][write_i]` is a column corresponding to a write #`write_i` per row.
/// - `runtime_tables[table_id][write_i][row_i]` is a value-vector that's looked up at `row_i`
pub runtime_lookup_writes: BTreeMap<LT, Vec<Vec<Vec<F>>>>,
/// Fixed values for selector columns. `fixed_selectors[i][j]` is the
/// value for row #j of the selector #i.
pub fixed_selectors: Vec<Vec<F>>,
/// Function used to map assertions.
pub assert_mapper: Box<dyn Fn(F) -> F>,
// A Phantom Data for CIx -- right now WitnessBUilderEnv does not
// depend on CIx, but in the future (with associated generics
// enabled?) it might be convenient to put all the `NT_COL` (and
// other) constants into `CIx`. Logically, all these constants
// "belong" to CIx, so there's an extra type parameter, and a
// phantom data to support it.
pub phantom_cix: PhantomData<CIx>,
}
impl<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> ColAccessCap<F, CIx> for WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT>
{
// Requiring an F element as we would need to compute values up to 180 bits
// in the 15 bits decomposition.
type Variable = F;
fn assert_zero(&mut self, cst: Self::Variable) {
assert_eq!((self.assert_mapper)(cst), F::zero());
}
fn set_assert_mapper(&mut self, mapper: Box<dyn Fn(Self::Variable) -> Self::Variable>) {
self.assert_mapper = mapper;
}
fn constant(value: F) -> Self::Variable {
value
}
fn read_column(&self, ix: CIx) -> Self::Variable {
match ix.to_column() {
Column::Relation(i) => self.witness.last().unwrap().cols[i],
Column::FixedSelector(i) => self.fixed_selectors[i][self.witness.len() - 1],
other => panic!("WitnessBuilderEnv::read_column does not support {other:?}"),
}
}
}
impl<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> ColWriteCap<F, CIx> for WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT>
{
fn write_column(&mut self, ix: CIx, value: &Self::Variable) {
self.write_column_raw(ix.to_column(), *value);
}
}
/// If `Env` implements real write ("for sure" writes), you can implement
/// hybrid copy (that is only required to "maybe" copy). The other way
/// around violates the semantics.
///
/// Sadly, rust does not allow "cover" instances to define this impl
/// for every `T: ColWriteCap`.
impl<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> HybridCopyCap<F, CIx> for WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT>
{
fn hcopy(&mut self, value: &Self::Variable, ix: CIx) -> Self::Variable {
<WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT> as ColWriteCap<F, CIx>>::write_column(
self, ix, value,
);
*value
}
}
impl<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> MultiRowReadCap<F, CIx> for WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT>
{
/// Read value from a (row,column) position.
fn read_row_column(&mut self, row: usize, col: CIx) -> Self::Variable {
let Column::Relation(i) = col.to_column() else {
todo!()
};
self.witness[row].cols[i]
}
/// Progresses to the next row.
fn next_row(&mut self) {
self.next_row();
}
/// Returns the current row.
fn curr_row(&self) -> usize {
self.witness.len() - 1
}
}
impl<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> DirectWitnessCap<F, CIx> for WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT>
{
/// Convert an abstract variable to a field element! Inverse of Env::constant().
fn variable_to_field(value: Self::Variable) -> F {
value
}
}
impl<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> LookupCap<F, CIx, LT> for WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT>
{
fn lookup(&mut self, table_id: LT, value: Vec<<Self as ColAccessCap<F, CIx>>::Variable>) {
// Recording the lookup read into the corresponding slot in `lookup_reads`.
{
let curr_row = self.curr_row();
let lookup_read_table = self.lookup_reads.get_mut(&table_id).unwrap();
let curr_write_number =
(0..lookup_read_table.len()).find(|i| lookup_read_table[*i].len() <= curr_row);
// If we're at row 0, we can declare as many reads as we want.
// If we're at non-zero row, we cannot declare more reads than before.
let curr_write_number = if let Some(v) = curr_write_number {
v
} else {
// TODO: This must be a panic; however, we don't yet have support
// different number of lookups on different rows.
//
// See https://github.com/o1-labs/proof-systems/issues/2440
if curr_row != 0 {
eprintln!(
"ERROR: Number of writes in row {curr_row:?} is different from row 0",
);
}
lookup_read_table.push(vec![]);
lookup_read_table.len() - 1
};
lookup_read_table[curr_write_number].push(value.clone());
}
// If the table is fixed we also compute multiplicities on the fly.
if table_id.is_fixed() {
let value_ix = table_id
.ix_by_value(&value)
.expect("Could not resolve lookup for a fixed table");
let multiplicities = self.lookup_multiplicities.get_mut(&table_id).unwrap();
// Since we allow multiple lookups per row, runtime tables
// can in theory grow bigger than the domain size. We
// still collect multiplicities as if runtime table vector
// is not height-bounded, but we will split it into chunks
// later.
if !table_id.is_fixed() && value_ix > multiplicities.len() {
multiplicities.resize(value_ix, 0u64);
}
multiplicities[value_ix] += 1;
}
}
fn lookup_runtime_write(&mut self, table_id: LT, value: Vec<Self::Variable>) {
assert!(
!table_id.is_fixed() && !table_id.runtime_create_column(),
"lookup_runtime_write must be called on non-fixed tables that work with dynamic writes only"
);
// We insert value into runtime table in any case, for each row.
let curr_row = self.witness.len() - 1;
let runtime_table = self.runtime_lookup_writes.get_mut(&table_id).unwrap();
let curr_write_number =
(0..runtime_table.len()).find(|i| runtime_table[*i].len() <= curr_row);
let curr_write_number = if let Some(v) = curr_write_number {
v
} else {
assert!(
curr_row == 0,
"Number of writes in row {curr_row:?} is different from row 0"
);
runtime_table.push(vec![]);
runtime_table.len() - 1
};
runtime_table[curr_write_number].push(value);
}
}
impl<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT>
{
pub fn write_column_raw(&mut self, position: Column, value: F) {
match position {
Column::Relation(i) => self.witness.last_mut().unwrap().cols[i] = value,
Column::FixedSelector(_) => {
panic!("Witness environment can't write into fixed selector columns.");
}
Column::DynamicSelector(_) => {
// TODO: Do we want to allow writing to dynamic selector columns only 1 or 0?
panic!(
"This is a dynamic selector column. The environment is
supposed to write only in witness columns"
);
}
Column::LookupPartialSum(_) => {
panic!(
"This is a lookup related column. The environment is
supposed to write only in witness columns"
);
}
Column::LookupMultiplicity(_) => {
panic!(
"This is a lookup related column. The environment is
supposed to write only in witness columns"
);
}
Column::LookupAggregation => {
panic!(
"This is a lookup related column. The environment is
supposed to write only in witness columns"
);
}
Column::LookupFixedTable(_) => {
panic!(
"This is a lookup related column. The environment is
supposed to write only in witness columns"
);
}
}
}
/// Progress to the computations on the next row.
pub fn next_row(&mut self) {
self.witness.push(Witness {
cols: Box::new([F::zero(); N_WIT]),
});
}
/// Getting multiplicities for range check tables less or equal
/// than 15 bits. Return value is a vector of columns, where each
/// column represents a "read". Fixed lookup tables always return
/// a single-column vector, while runtime tables may return more.
pub fn get_lookup_multiplicities(&self, domain_size: usize, table_id: LT) -> Vec<Vec<F>> {
if table_id.is_fixed() {
let mut m = Vec::with_capacity(domain_size);
m.extend(
self.lookup_multiplicities[&table_id]
.iter()
.map(|x| F::from(*x)),
);
if table_id.length() < domain_size {
let n_repeated_dummy_value: usize = domain_size - table_id.length() - 1;
let repeated_dummy_value: Vec<F> = iter::repeat(-F::one())
.take(n_repeated_dummy_value)
.collect();
m.extend(repeated_dummy_value);
m.push(F::from(n_repeated_dummy_value as u64));
}
assert_eq!(m.len(), domain_size);
vec![m]
} else {
// For runtime tables, multiplicities are computed post
// factum, since we explicitly want (e.g. for RAM lookups)
// reads and writes to be parallel -- in many cases we
// haven't previously written the value we want to read.
let runtime_table = self.runtime_lookup_writes.get(&table_id).unwrap();
let num_writes = if table_id.runtime_create_column() {
assert!(runtime_table.is_empty(), "runtime_table is expected to be unused for runtime tables with on-the-fly table creation");
1
} else {
runtime_table.len()
};
// A runtime table resolver; the inverse of `runtime_tables`:
// maps runtime lookup table to `(column, row)`
let mut resolver: BTreeMap<Vec<F>, (usize, usize)> = BTreeMap::new();
{
// Populate resolver map either from "reads" or from "writes"
if table_id.runtime_create_column() {
let columns = &self.lookup_reads.get(&table_id).unwrap();
assert!(
columns.len() == 1,
"We only allow 1 read for runtime tables yet"
);
let column = &columns[0];
assert!(column.len() <= domain_size,);
for (row_i, value) in column.iter().enumerate() {
if resolver.get_mut(value).is_none() {
resolver.insert(value.clone(), (0, row_i));
}
}
} else {
for (col_i, col) in runtime_table.iter().take(num_writes).enumerate() {
for (row_i, value) in col.iter().enumerate() {
if resolver.get_mut(value).is_none() {
resolver.insert(value.clone(), (col_i, row_i));
}
}
}
}
}
// Resolve reads and build multiplicities vector
let mut multiplicities = vec![vec![0u64; domain_size]; num_writes];
for lookup_read_column in self.lookup_reads.get(&table_id).unwrap().iter() {
for value in lookup_read_column.iter() {
if let Some((col_i, row_i)) = resolver.get_mut(value) {
multiplicities[*col_i][*row_i] += 1;
} else {
panic!("Could not resolve a runtime table read");
}
}
}
multiplicities
.into_iter()
.map(|v| v.into_iter().map(|x| F::from(x)).collect())
.collect()
}
}
}
impl<
F: PrimeField,
CIx: ColumnIndexer,
const N_WIT: usize,
const N_REL: usize,
const N_DSEL: usize,
const N_FSEL: usize,
LT: LookupTableID,
> WitnessBuilderEnv<F, CIx, N_WIT, N_REL, N_DSEL, N_FSEL, LT>
{
/// Create a new empty-state witness builder.
pub fn create() -> Self {
let mut lookup_reads = BTreeMap::new();
let mut lookup_multiplicities = BTreeMap::new();
let mut runtime_lookup_writes = BTreeMap::new();
let fixed_selectors = vec![vec![]; N_FSEL];
for table_id in LT::all_variants().into_iter() {
lookup_reads.insert(table_id, vec![]);
if table_id.is_fixed() {
lookup_multiplicities.insert(table_id, vec![0u64; table_id.length()]);
} else {
runtime_lookup_writes.insert(table_id, vec![]);
}
}
Self {
witness: vec![Witness {
cols: Box::new([F::zero(); N_WIT]),
}],
lookup_multiplicities,
lookup_reads,
runtime_lookup_writes,
fixed_selectors,
phantom_cix: PhantomData,
assert_mapper: Box::new(|x| x),
}
}
/// Sets a fixed selector, the vector of length equal to the
/// domain size (circuit height).
pub fn set_fixed_selector_cix(&mut self, sel: CIx, sel_values: Vec<F>) {
if let Column::FixedSelector(i) = sel.to_column() {
self.fixed_selectors[i] = sel_values;
} else {
panic!("Tried to assign values to non-fixed-selector typed column {sel:?}");
}
}
/// Sets all fixed selectors directly. Each item in `selectors` is
/// a vector of `domain_size` length.
pub fn set_fixed_selectors(&mut self, selectors: Vec<Vec<F>>) {
self.fixed_selectors = selectors
}
pub fn get_relation_witness(&self, domain_size: usize) -> Witness<N_WIT, Vec<F>> {
// Boxing to avoid stack overflow
let mut witness: Box<Witness<N_WIT, Vec<F>>> = Box::new(Witness {
cols: Box::new(std::array::from_fn(|_| Vec::with_capacity(domain_size))),
});
// Filling actually used rows first
for witness_row in self.witness.iter().take(domain_size) {
for j in 0..N_REL {
witness.cols[j].push(witness_row.cols[j]);
}
}
// Then filling witness rows up with zeroes to the domain size
// FIXME: Maybe this is not always wise, as default instance can be non-zero.
if self.witness.len() < domain_size {
for i in 0..N_REL {
witness.cols[i].extend(vec![F::zero(); domain_size - self.witness.len()]);
}
}
// Fill out dynamic selectors.
for i in 0..N_DSEL {
// TODO FIXME Fill out dynamic selectors!
witness.cols[N_REL + i] = vec![F::zero(); domain_size];
}
for i in 0..(N_REL + N_DSEL) {
assert!(
witness.cols[i].len() == domain_size,
"Witness columns length {:?} for column {:?} does not match domain size {:?}",
witness.cols[i].len(),
i,
domain_size
);
}
*witness
}
/// Return all runtime tables collected so far, padded to the domain size.
pub fn get_runtime_tables(&self, domain_size: usize) -> BTreeMap<LT, Vec<Vec<Vec<F>>>> {
let mut runtime_tables: BTreeMap<LT, _> = BTreeMap::new();
for table_id in LT::all_variants()
.into_iter()
.filter(|table_id| !table_id.is_fixed())
{
if table_id.runtime_create_column() {
// For runtime tables with no explicit writes, we
// store only read requests, so we assemble read
// requests into a column.
runtime_tables.insert(table_id, self.lookup_reads.get(&table_id).unwrap().clone());
} else {
// For runtime tables /with/ explicit writes, these
// writes are stored in self.runtime_tables.
runtime_tables.insert(
table_id,
self.runtime_lookup_writes.get(&table_id).unwrap().clone(),
);
}
// We pad the runtime table with dummies if it's too small.
for column in runtime_tables.get_mut(&table_id).unwrap() {
if column.len() < domain_size {
let dummy_value = column[0].clone(); // we assume runtime tables are never empty
column.append(&mut vec![dummy_value; domain_size - column.len()]);
}
}
}
runtime_tables
}
pub fn get_logup_witness(
&self,
domain_size: usize,
lookup_tables_data: BTreeMap<LT, Vec<Vec<Vec<F>>>>,
) -> BTreeMap<LT, LogupWitness<F, LT>> {
// Building lookup values
let mut lookup_tables: BTreeMap<LT, Vec<Vec<Logup<F, LT>>>> = BTreeMap::new();
if !lookup_tables_data.is_empty() {
for table_id in LT::all_variants().into_iter() {
// Find how many lookups are done per table.
let number_of_lookup_reads = self.lookup_reads.get(&table_id).unwrap().len();
let number_of_lookup_writes =
if table_id.is_fixed() || table_id.runtime_create_column() {
1
} else {
self.runtime_lookup_writes[&table_id].len()
};
// +1 for the fixed table
lookup_tables.insert(
table_id,
vec![vec![]; number_of_lookup_reads + number_of_lookup_writes],
);
}
} else {
debug!("No lookup tables data provided. Skipping lookup tables.");
}
for (table_id, columns) in self.lookup_reads.iter() {
for (read_i, column) in columns.iter().enumerate() {
lookup_tables.get_mut(table_id).unwrap()[read_i] = column
.iter()
.map(|value| Logup {
table_id: *table_id,
numerator: F::one(),
value: value.clone(),
})
.collect();
}
}
// FIXME add runtime tables, runtime_lookup_reads must be used here
let mut lookup_multiplicities: BTreeMap<LT, Vec<Vec<F>>> = BTreeMap::new();
// Counting multiplicities & adding fixed column into the last column of every table.
for (table_id, table) in lookup_tables.iter_mut() {
let lookup_m: Vec<Vec<F>> = self.get_lookup_multiplicities(domain_size, *table_id);
lookup_multiplicities.insert(*table_id, lookup_m.clone());
if table_id.is_fixed() || table_id.runtime_create_column() {
assert!(lookup_m.len() == 1);
assert!(
lookup_tables_data[table_id].len() == 1,
"table {table_id:?} must have exactly one column, got {:?}",
lookup_tables_data[table_id].len()
);
let lookup_t = lookup_tables_data[table_id][0]
.iter()
.enumerate()
.map(|(i, v)| Logup {
table_id: *table_id,
numerator: -lookup_m[0][i],
value: v.clone(),
})
.collect();
*(table.last_mut().unwrap()) = lookup_t;
} else {
// Add multiplicity vectors for runtime tables.
for (col_i, lookup_column) in lookup_tables_data[table_id].iter().enumerate() {
let lookup_t = lookup_column
.iter()
.enumerate()
.map(|(i, v)| Logup {
table_id: *table_id,
numerator: -lookup_m[col_i][i],
value: v.clone(),
})
.collect();
let pos = table.len() - self.runtime_lookup_writes[table_id].len() + col_i;
(*table)[pos] = lookup_t;
}
}
}
for (table_id, m) in lookup_multiplicities.iter() {
if !table_id.is_fixed() {
// Temporary assertion; to be removed when we support bigger
// runtime table/RAMlookups functionality.
assert!(m.len() <= domain_size,
"We do not _yet_ support wrapping runtime tables that are bigger than domain size.");
}
}
lookup_tables
.iter()
.filter_map(|(table_id, table)| {
// Only add a table if it's used. Otherwise lookups fail.
if !table.is_empty() && !table[0].is_empty() {
Some((
*table_id,
LogupWitness {
f: table.clone(),
m: lookup_multiplicities[table_id].clone(),
},
))
} else {
None
}
})
.collect()
}
/// Generates proof inputs, repacking/collecting internal witness builder state.
pub fn get_proof_inputs(
&self,
domain_size: usize,
lookup_tables_data: BTreeMap<LT, Vec<Vec<Vec<F>>>>,
) -> ProofInputs<N_WIT, F, LT> {
let evaluations = self.get_relation_witness(domain_size);
let logups = self.get_logup_witness(domain_size, lookup_tables_data);
ProofInputs {
evaluations,
logups,
}
}
}