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@ -11,7 +11,7 @@ use ark_std::{ |
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start_timer,
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};
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use rayon::prelude::*;
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use std::{cmp::max, collections::HashMap, marker::PhantomData, ops::Add, rc::Rc};
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use std::{cmp::max, collections::HashMap, marker::PhantomData, ops::Add, sync::Arc};
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#[rustfmt::skip]
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/// A virtual polynomial is a sum of products of multilinear polynomials;
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@ -48,7 +48,7 @@ pub struct VirtualPolynomial { |
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pub products: Vec<(F, Vec<usize>)>,
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/// Stores multilinear extensions in which product multiplicand can refer
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/// to.
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pub flattened_ml_extensions: Vec<Rc<DenseMultilinearExtension<F>>>,
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pub flattened_ml_extensions: Vec<Arc<DenseMultilinearExtension<F>>>,
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/// Pointers to the above poly extensions
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raw_pointers_lookup_table: HashMap<*const DenseMultilinearExtension<F>, usize>,
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}
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@ -71,7 +71,7 @@ impl Add for &VirtualPolynomial { |
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let start = start_timer!(|| "virtual poly add");
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let mut res = self.clone();
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for products in other.products.iter() {
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let cur: Vec<Rc<DenseMultilinearExtension<F>>> = products
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let cur: Vec<Arc<DenseMultilinearExtension<F>>> = products
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.1
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.iter()
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.map(|&x| other.flattened_ml_extensions[x].clone())
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@ -102,8 +102,8 @@ impl VirtualPolynomial { |
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}
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/// Creates an new virtual polynomial from a MLE and its coefficient.
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pub fn new_from_mle(mle: &Rc<DenseMultilinearExtension<F>>, coefficient: F) -> Self {
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let mle_ptr: *const DenseMultilinearExtension<F> = Rc::as_ptr(mle);
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pub fn new_from_mle(mle: &Arc<DenseMultilinearExtension<F>>, coefficient: F) -> Self {
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let mle_ptr: *const DenseMultilinearExtension<F> = Arc::as_ptr(mle);
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let mut hm = HashMap::new();
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hm.insert(mle_ptr, 0);
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@ -129,10 +129,10 @@ impl VirtualPolynomial { |
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/// `coefficient`.
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pub fn add_mle_list(
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&mut self,
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mle_list: impl IntoIterator<Item = Rc<DenseMultilinearExtension<F>>>,
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mle_list: impl IntoIterator<Item = Arc<DenseMultilinearExtension<F>>>,
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coefficient: F,
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) -> Result<(), ArithErrors> {
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let mle_list: Vec<Rc<DenseMultilinearExtension<F>>> = mle_list.into_iter().collect();
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let mle_list: Vec<Arc<DenseMultilinearExtension<F>>> = mle_list.into_iter().collect();
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let mut indexed_product = Vec::with_capacity(mle_list.len());
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if mle_list.is_empty() {
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@ -151,7 +151,7 @@ impl VirtualPolynomial { |
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)));
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}
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let mle_ptr: *const DenseMultilinearExtension<F> = Rc::as_ptr(&mle);
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let mle_ptr: *const DenseMultilinearExtension<F> = Arc::as_ptr(&mle);
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if let Some(index) = self.raw_pointers_lookup_table.get(&mle_ptr) {
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indexed_product.push(*index)
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} else {
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@ -171,7 +171,7 @@ impl VirtualPolynomial { |
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/// Returns an error if the MLE has a different `num_vars` from self.
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pub fn mul_by_mle(
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&mut self,
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mle: Rc<DenseMultilinearExtension<F>>,
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mle: Arc<DenseMultilinearExtension<F>>,
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coefficient: F,
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) -> Result<(), ArithErrors> {
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let start = start_timer!(|| "mul by mle");
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@ -183,7 +183,7 @@ impl VirtualPolynomial { |
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)));
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}
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let mle_ptr: *const DenseMultilinearExtension<F> = Rc::as_ptr(&mle);
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let mle_ptr: *const DenseMultilinearExtension<F> = Arc::as_ptr(&mle);
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// check if this mle already exists in the virtual polynomial
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let mle_index = match self.raw_pointers_lookup_table.get(&mle_ptr) {
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@ -350,11 +350,11 @@ pub fn eq_eval(x: &[F], y: &[F]) -> Result { |
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/// eq(x,y) = \prod_i=1^num_var (x_i * r_i + (1-x_i)*(1-r_i))
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pub fn build_eq_x_r<F: PrimeField>(
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r: &[F],
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) -> Result<Rc<DenseMultilinearExtension<F>>, ArithErrors> {
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) -> Result<Arc<DenseMultilinearExtension<F>>, ArithErrors> {
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let evals = build_eq_x_r_vec(r)?;
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let mle = DenseMultilinearExtension::from_evaluations_vec(r.len(), evals);
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Ok(Rc::new(mle))
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Ok(Arc::new(mle))
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}
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/// This function build the eq(x, r) polynomial for any given r, and output the
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/// evaluation of eq(x, r) in its vector form.
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@ -364,8 +364,6 @@ pub fn build_eq_x_r( |
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/// over r, which is
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/// eq(x,y) = \prod_i=1^num_var (x_i * r_i + (1-x_i)*(1-r_i))
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pub fn build_eq_x_r_vec<F: PrimeField>(r: &[F]) -> Result<Vec<F>, ArithErrors> {
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let start = start_timer!(|| format!("build eq_x_r of size {}", r.len()));
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// we build eq(x,r) from its evaluations
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// we want to evaluate eq(x,r) over x \in {0, 1}^num_vars
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// for example, with num_vars = 4, x is a binary vector of 4, then
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@ -380,7 +378,6 @@ pub fn build_eq_x_r_vec(r: &[F]) -> Result, ArithErrors> { |
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let mut eval = Vec::new();
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build_eq_x_r_helper(r, &mut eval)?;
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end_timer!(start);
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Ok(eval)
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}
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@ -511,9 +508,7 @@ mod test { |
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// eq(x,y) = \prod_i=1^num_var (x_i * y_i + (1-x_i)*(1-y_i))
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// over r, which is
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// eq(x,y) = \prod_i=1^num_var (x_i * r_i + (1-x_i)*(1-r_i))
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fn build_eq_x_r_for_test<F: PrimeField>(r: &[F]) -> Rc<DenseMultilinearExtension<F>> {
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let start = start_timer!(|| "zero check naive build eq_x_r");
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fn build_eq_x_r_for_test<F: PrimeField>(r: &[F]) -> Arc<DenseMultilinearExtension<F>> {
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// we build eq(x,r) from its evaluations
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// we want to evaluate eq(x,r) over x \in {0, 1}^num_vars
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// for example, with num_vars = 4, x is a binary vector of 4, then
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@ -545,8 +540,7 @@ mod test { |
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let mle = DenseMultilinearExtension::from_evaluations_vec(num_var, eval);
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let res = Rc::new(mle);
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end_timer!(start);
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let res = Arc::new(mle);
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res
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}
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}
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Benedikt Bünz
1 year ago
GitHub