hush
/
librustzcash
8
0
Fork 3
Code Issues 2 Pull Requests Projects Releases Wiki Activity
Browse Source

Add 'bellman/' from commit '10c5010fd9c2ca69442dc9775ea271e286e776d8' 

git-subtree-dir: bellman
git-subtree-mainline: e924247e73
git-subtree-split: 10c5010fd9
ci_integration
Jack Grigg 6 years ago
parent
e924247e73 10c5010fd9
commit
9f748554d0
17 changed files with 4168 additions and 0 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 2
      bellman/.gitignore
  2. 14
      bellman/COPYRIGHT
  3. 22
      bellman/Cargo.toml
  4. 201
      bellman/LICENSE-APACHE
  5. 23
      bellman/LICENSE-MIT
  6. 19
      bellman/README.md
  7. 494
      bellman/src/domain.rs
  8. 482
      bellman/src/groth16/generator.rs
  9. 576
      bellman/src/groth16/mod.rs
  10. 334
      bellman/src/groth16/prover.rs
  11. 451
      bellman/src/groth16/tests/dummy_engine.rs
  12. 400
      bellman/src/groth16/tests/mod.rs
  13. 66
      bellman/src/groth16/verifier.rs
  14. 424
      bellman/src/lib.rs
  15. 106
      bellman/src/multicore.rs
  16. 303
      bellman/src/multiexp.rs
  17. 251
      bellman/tests/mimc.rs

2
bellman/.gitignore
View File

@ -0,0 +1,2 @@
target
Cargo.lock

14
bellman/COPYRIGHT
View File

@ -0,0 +1,14 @@
Copyrights in the "bellman" library are retained by their contributors. No
copyright assignment is required to contribute to the "bellman" library.
The "bellman" library is licensed under either of
* Apache License, Version 2.0, (see ./LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
* MIT license (see ./LICENSE-MIT or http://opensource.org/licenses/MIT)
at your option.
Unless you explicitly state otherwise, any contribution intentionally
submitted for inclusion in the work by you, as defined in the Apache-2.0
license, shall be dual licensed as above, without any additional terms or
conditions.

22
bellman/Cargo.toml
View File

@ -0,0 +1,22 @@
[package]
authors = ["Sean Bowe <ewillbefull@gmail.com>"]
description = "zk-SNARK library"
documentation = "https://github.com/ebfull/bellman"
homepage = "https://github.com/ebfull/bellman"
license = "MIT/Apache-2.0"
name = "bellman"
repository = "https://github.com/ebfull/bellman"
version = "0.1.0"
[dependencies]
rand = "0.4"
bit-vec = "0.4.4"
futures = "0.1"
futures-cpupool = "0.1"
num_cpus = "1"
crossbeam = "0.3"
pairing = "0.14"
byteorder = "1"
[features]
default = []

201
bellman/LICENSE-APACHE
View File

@ -0,0 +1,201 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

23
bellman/LICENSE-MIT
View File

@ -0,0 +1,23 @@
Permission is hereby granted, free of charge, to any
person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the
Software without restriction, including without
limitation the rights to use, copy, modify, merge,
publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software
is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice
shall be included in all copies or substantial portions
of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
DEALINGS IN THE SOFTWARE.

19
bellman/README.md
View File

@ -0,0 +1,19 @@
# bellman [![Crates.io](https://img.shields.io/crates/v/bellman.svg)](https://crates.io/crates/bellman) #
This is a research project being built for [Zcash](https://z.cash/).
## License
Licensed under either of
* Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)
* MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)
at your option.
### Contribution
Unless you explicitly state otherwise, any contribution intentionally
submitted for inclusion in the work by you, as defined in the Apache-2.0
license, shall be dual licensed as above, without any additional terms or
conditions.

494
bellman/src/domain.rs
View File

@ -0,0 +1,494 @@
//! This module contains an `EvaluationDomain` abstraction for
//! performing various kinds of polynomial arithmetic on top of
//! the scalar field.
//!
//! In pairing-based SNARKs like Groth16, we need to calculate
//! a quotient polynomial over a target polynomial with roots
//! at distinct points associated with each constraint of the
//! constraint system. In order to be efficient, we choose these
//! roots to be the powers of a 2^n root of unity in the field.
//! This allows us to perform polynomial operations in O(n)
//! by performing an O(n log n) FFT over such a domain.
use pairing::{
Engine,
Field,
PrimeField,
CurveProjective
};
use super::{
SynthesisError
};
use super::multicore::Worker;
pub struct EvaluationDomain<E: Engine, G: Group<E>> {
coeffs: Vec<G>,
exp: u32,
omega: E::Fr,
omegainv: E::Fr,
geninv: E::Fr,
minv: E::Fr
}
impl<E: Engine, G: Group<E>> EvaluationDomain<E, G> {
pub fn as_ref(&self) -> &[G] {
&self.coeffs
}
pub fn as_mut(&mut self) -> &mut [G] {
&mut self.coeffs
}
pub fn into_coeffs(self) -> Vec<G> {
self.coeffs
}
pub fn from_coeffs(mut coeffs: Vec<G>) -> Result<EvaluationDomain<E, G>, SynthesisError>
{
// Compute the size of our evaluation domain
let mut m = 1;
let mut exp = 0;
while m < coeffs.len() {
m *= 2;
exp += 1;
// The pairing-friendly curve may not be able to support
// large enough (radix2) evaluation domains.
if exp >= E::Fr::S {
return Err(SynthesisError::PolynomialDegreeTooLarge)
}
}
// Compute omega, the 2^exp primitive root of unity
let mut omega = E::Fr::root_of_unity();
for _ in exp..E::Fr::S {
omega.square();
}
// Extend the coeffs vector with zeroes if necessary
coeffs.resize(m, G::group_zero());
Ok(EvaluationDomain {
coeffs: coeffs,
exp: exp,
omega: omega,
omegainv: omega.inverse().unwrap(),
geninv: E::Fr::multiplicative_generator().inverse().unwrap(),
minv: E::Fr::from_str(&format!("{}", m)).unwrap().inverse().unwrap()
})
}
pub fn fft(&mut self, worker: &Worker)
{
best_fft(&mut self.coeffs, worker, &self.omega, self.exp);
}
pub fn ifft(&mut self, worker: &Worker)
{
best_fft(&mut self.coeffs, worker, &self.omegainv, self.exp);
worker.scope(self.coeffs.len(), |scope, chunk| {
let minv = self.minv;
for v in self.coeffs.chunks_mut(chunk) {
scope.spawn(move || {
for v in v {
v.group_mul_assign(&minv);
}
});
}
});
}
pub fn distribute_powers(&mut self, worker: &Worker, g: E::Fr)
{
worker.scope(self.coeffs.len(), |scope, chunk| {
for (i, v) in self.coeffs.chunks_mut(chunk).enumerate() {
scope.spawn(move || {
let mut u = g.pow(&[(i * chunk) as u64]);
for v in v.iter_mut() {
v.group_mul_assign(&u);
u.mul_assign(&g);
}
});
}
});
}
pub fn coset_fft(&mut self, worker: &Worker)
{
self.distribute_powers(worker, E::Fr::multiplicative_generator());
self.fft(worker);
}
pub fn icoset_fft(&mut self, worker: &Worker)
{
let geninv = self.geninv;
self.ifft(worker);
self.distribute_powers(worker, geninv);
}
/// This evaluates t(tau) for this domain, which is
/// tau^m - 1 for these radix-2 domains.
pub fn z(&self, tau: &E::Fr) -> E::Fr {
let mut tmp = tau.pow(&[self.coeffs.len() as u64]);
tmp.sub_assign(&E::Fr::one());
tmp
}
/// The target polynomial is the zero polynomial in our
/// evaluation domain, so we must perform division over
/// a coset.
pub fn divide_by_z_on_coset(&mut self, worker: &Worker)
{
let i = self.z(&E::Fr::multiplicative_generator()).inverse().unwrap();
worker.scope(self.coeffs.len(), |scope, chunk| {
for v in self.coeffs.chunks_mut(chunk) {
scope.spawn(move || {
for v in v {
v.group_mul_assign(&i);
}
});
}
});
}
/// Perform O(n) multiplication of two polynomials in the domain.
pub fn mul_assign(&mut self, worker: &Worker, other: &EvaluationDomain<E, Scalar<E>>) {
assert_eq!(self.coeffs.len(), other.coeffs.len());
worker.scope(self.coeffs.len(), |scope, chunk| {
for (a, b) in self.coeffs.chunks_mut(chunk).zip(other.coeffs.chunks(chunk)) {
scope.spawn(move || {
for (a, b) in a.iter_mut().zip(b.iter()) {
a.group_mul_assign(&b.0);
}
});
}
});
}
/// Perform O(n) subtraction of one polynomial from another in the domain.
pub fn sub_assign(&mut self, worker: &Worker, other: &EvaluationDomain<E, G>) {
assert_eq!(self.coeffs.len(), other.coeffs.len());
worker.scope(self.coeffs.len(), |scope, chunk| {
for (a, b) in self.coeffs.chunks_mut(chunk).zip(other.coeffs.chunks(chunk)) {
scope.spawn(move || {
for (a, b) in a.iter_mut().zip(b.iter()) {
a.group_sub_assign(&b);
}
});
}
});
}
}
pub trait Group<E: Engine>: Sized + Copy + Clone + Send + Sync {
fn group_zero() -> Self;
fn group_mul_assign(&mut self, by: &E::Fr);
fn group_add_assign(&mut self, other: &Self);
fn group_sub_assign(&mut self, other: &Self);
}
pub struct Point<G: CurveProjective>(pub G);
impl<G: CurveProjective> PartialEq for Point<G> {
fn eq(&self, other: &Point<G>) -> bool {
self.0 == other.0
}
}
impl<G: CurveProjective> Copy for Point<G> { }
impl<G: CurveProjective> Clone for Point<G> {
fn clone(&self) -> Point<G> {
*self
}
}
impl<G: CurveProjective> Group<G::Engine> for Point<G> {
fn group_zero() -> Self {
Point(G::zero())
}
fn group_mul_assign(&mut self, by: &G::Scalar) {
self.0.mul_assign(by.into_repr());
}
fn group_add_assign(&mut self, other: &Self) {
self.0.add_assign(&other.0);
}
fn group_sub_assign(&mut self, other: &Self) {
self.0.sub_assign(&other.0);
}
}
pub struct Scalar<E: Engine>(pub E::Fr);
impl<E: Engine> PartialEq for Scalar<E> {
fn eq(&self, other: &Scalar<E>) -> bool {
self.0 == other.0
}
}
impl<E: Engine> Copy for Scalar<E> { }
impl<E: Engine> Clone for Scalar<E> {
fn clone(&self) -> Scalar<E> {
*self
}
}
impl<E: Engine> Group<E> for Scalar<E> {
fn group_zero() -> Self {
Scalar(E::Fr::zero())
}
fn group_mul_assign(&mut self, by: &E::Fr) {
self.0.mul_assign(by);
}
fn group_add_assign(&mut self, other: &Self) {
self.0.add_assign(&other.0);
}
fn group_sub_assign(&mut self, other: &Self) {
self.0.sub_assign(&other.0);
}
}
fn best_fft<E: Engine, T: Group<E>>(a: &mut [T], worker: &Worker, omega: &E::Fr, log_n: u32)
{
let log_cpus = worker.log_num_cpus();
if log_n <= log_cpus {
serial_fft(a, omega, log_n);
} else {
parallel_fft(a, worker, omega, log_n, log_cpus);
}
}
fn serial_fft<E: Engine, T: Group<E>>(a: &mut [T], omega: &E::Fr, log_n: u32)
{
fn bitreverse(mut n: u32, l: u32) -> u32 {
let mut r = 0;
for _ in 0..l {
r = (r << 1) | (n & 1);
n >>= 1;
}
r
}
let n = a.len() as u32;
assert_eq!(n, 1 << log_n);
for k in 0..n {
let rk = bitreverse(k, log_n);
if k < rk {
a.swap(rk as usize, k as usize);
}
}
let mut m = 1;
for _ in 0..log_n {
let w_m = omega.pow(&[(n / (2*m)) as u64]);
let mut k = 0;
while k < n {
let mut w = E::Fr::one();
for j in 0..m {
let mut t = a[(k+j+m) as usize];
t.group_mul_assign(&w);
let mut tmp = a[(k+j) as usize];
tmp.group_sub_assign(&t);
a[(k+j+m) as usize] = tmp;
a[(k+j) as usize].group_add_assign(&t);
w.mul_assign(&w_m);
}
k += 2*m;
}
m *= 2;
}
}
fn parallel_fft<E: Engine, T: Group<E>>(
a: &mut [T],
worker: &Worker,
omega: &E::Fr,
log_n: u32,
log_cpus: u32
)
{
assert!(log_n >= log_cpus);
let num_cpus = 1 << log_cpus;
let log_new_n = log_n - log_cpus;
let mut tmp = vec![vec![T::group_zero(); 1 << log_new_n]; num_cpus];
let new_omega = omega.pow(&[num_cpus as u64]);
worker.scope(0, |scope, _| {
let a = &*a;
for (j, tmp) in tmp.iter_mut().enumerate() {
scope.spawn(move || {
// Shuffle into a sub-FFT
let omega_j = omega.pow(&[j as u64]);
let omega_step = omega.pow(&[(j as u64) << log_new_n]);
let mut elt = E::Fr::one();
for i in 0..(1 << log_new_n) {
for s in 0..num_cpus {
let idx = (i + (s << log_new_n)) % (1 << log_n);
let mut t = a[idx];
t.group_mul_assign(&elt);
tmp[i].group_add_assign(&t);
elt.mul_assign(&omega_step);
}
elt.mul_assign(&omega_j);
}
// Perform sub-FFT
serial_fft(tmp, &new_omega, log_new_n);
});
}
});
// TODO: does this hurt or help?
worker.scope(a.len(), |scope, chunk| {
let tmp = &tmp;
for (idx, a) in a.chunks_mut(chunk).enumerate() {
scope.spawn(move || {
let mut idx = idx * chunk;
let mask = (1 << log_cpus) - 1;
for a in a {
*a = tmp[idx & mask][idx >> log_cpus];
idx += 1;
}
});
}
});
}
// Test multiplying various (low degree) polynomials together and
// comparing with naive evaluations.
#[test]
fn polynomial_arith() {
use pairing::bls12_381::Bls12;
use rand::{self, Rand};
fn test_mul<E: Engine, R: rand::Rng>(rng: &mut R)
{
let worker = Worker::new();
for coeffs_a in 0..70 {
for coeffs_b in 0..70 {
let mut a: Vec<_> = (0..coeffs_a).map(|_| Scalar::<E>(E::Fr::rand(rng))).collect();
let mut b: Vec<_> = (0..coeffs_b).map(|_| Scalar::<E>(E::Fr::rand(rng))).collect();
// naive evaluation
let mut naive = vec![Scalar(E::Fr::zero()); coeffs_a + coeffs_b];
for (i1, a) in a.iter().enumerate() {
for (i2, b) in b.iter().enumerate() {
let mut prod = *a;
prod.group_mul_assign(&b.0);
naive[i1 + i2].group_add_assign(&prod);
}
}
a.resize(coeffs_a + coeffs_b, Scalar(E::Fr::zero()));
b.resize(coeffs_a + coeffs_b, Scalar(E::Fr::zero()));
let mut a = EvaluationDomain::from_coeffs(a).unwrap();
let mut b = EvaluationDomain::from_coeffs(b).unwrap();
a.fft(&worker);
b.fft(&worker);
a.mul_assign(&worker, &b);
a.ifft(&worker);
for (naive, fft) in naive.iter().zip(a.coeffs.iter()) {
assert!(naive == fft);
}
}
}
}
let rng = &mut rand::thread_rng();
test_mul::<Bls12, _>(rng);
}
#[test]
fn fft_composition() {
use pairing::bls12_381::Bls12;
use rand;
fn test_comp<E: Engine, R: rand::Rng>(rng: &mut R)
{
let worker = Worker::new();
for coeffs in 0..10 {
let coeffs = 1 << coeffs;
let mut v = vec![];
for _ in 0..coeffs {
v.push(Scalar::<E>(rng.gen()));
}
let mut domain = EvaluationDomain::from_coeffs(v.clone()).unwrap();
domain.ifft(&worker);
domain.fft(&worker);
assert!(v == domain.coeffs);
domain.fft(&worker);
domain.ifft(&worker);
assert!(v == domain.coeffs);
domain.icoset_fft(&worker);
domain.coset_fft(&worker);
assert!(v == domain.coeffs);
domain.coset_fft(&worker);
domain.icoset_fft(&worker);
assert!(v == domain.coeffs);
}
}
let rng = &mut rand::thread_rng();
test_comp::<Bls12, _>(rng);
}
#[test]
fn parallel_fft_consistency() {
use pairing::bls12_381::Bls12;
use rand::{self, Rand};
use std::cmp::min;
fn test_consistency<E: Engine, R: rand::Rng>(rng: &mut R)
{
let worker = Worker::new();
for _ in 0..5 {
for log_d in 0..10 {
let d = 1 << log_d;
let v1 = (0..d).map(|_| Scalar::<E>(E::Fr::rand(rng))).collect::<Vec<_>>();
let mut v1 = EvaluationDomain::from_coeffs(v1).unwrap();
let mut v2 = EvaluationDomain::from_coeffs(v1.coeffs.clone()).unwrap();
for log_cpus in log_d..min(log_d+1, 3) {
parallel_fft(&mut v1.coeffs, &worker, &v1.omega, log_d, log_cpus);
serial_fft(&mut v2.coeffs, &v2.omega, log_d);
assert!(v1.coeffs == v2.coeffs);
}
}
}
}
let rng = &mut rand::thread_rng();
test_consistency::<Bls12, _>(rng);
}

482
bellman/src/groth16/generator.rs
View File

@ -0,0 +1,482 @@
use rand::Rng;
use std::sync::Arc;
use pairing::{
Engine,
PrimeField,
Field,
Wnaf,
CurveProjective,
CurveAffine
};
use super::{
Parameters,
VerifyingKey
};
use ::{
SynthesisError,
Circuit,
ConstraintSystem,
LinearCombination,
Variable,
Index
};
use ::domain::{
EvaluationDomain,
Scalar
};
use ::multicore::{
Worker
};
/// Generates a random common reference string for
/// a circuit.
pub fn generate_random_parameters<E, C, R>(
circuit: C,
rng: &mut R
) -> Result<Parameters<E>, SynthesisError>
where E: Engine, C: Circuit<E>, R: Rng
{
let g1 = rng.gen();
let g2 = rng.gen();
let alpha = rng.gen();
let beta = rng.gen();
let gamma = rng.gen();
let delta = rng.gen();
let tau = rng.gen();
generate_parameters::<E, C>(
circuit,
g1,
g2,
alpha,
beta,
gamma,
delta,
tau
)
}
/// This is our assembly structure that we'll use to synthesize the
/// circuit into a QAP.
struct KeypairAssembly<E: Engine> {
num_inputs: usize,
num_aux: usize,
num_constraints: usize,
at_inputs: Vec<Vec<(E::Fr, usize)>>,
bt_inputs: Vec<Vec<(E::Fr, usize)>>,
ct_inputs: Vec<Vec<(E::Fr, usize)>>,
at_aux: Vec<Vec<(E::Fr, usize)>>,
bt_aux: Vec<Vec<(E::Fr, usize)>>,
ct_aux: Vec<Vec<(E::Fr, usize)>>
}
impl<E: Engine> ConstraintSystem<E> for KeypairAssembly<E> {
type Root = Self;
fn alloc<F, A, AR>(
&mut self,
_: A,
_: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>
{
// There is no assignment, so we don't even invoke the
// function for obtaining one.
let index = self.num_aux;
self.num_aux += 1;
self.at_aux.push(vec![]);
self.bt_aux.push(vec![]);
self.ct_aux.push(vec![]);
Ok(Variable(Index::Aux(index)))
}
fn alloc_input<F, A, AR>(
&mut self,
_: A,
_: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>
{
// There is no assignment, so we don't even invoke the
// function for obtaining one.
let index = self.num_inputs;
self.num_inputs += 1;
self.at_inputs.push(vec![]);
self.bt_inputs.push(vec![]);
self.ct_inputs.push(vec![]);
Ok(Variable(Index::Input(index)))
}
fn enforce<A, AR, LA, LB, LC>(
&mut self,
_: A,
a: LA,
b: LB,
c: LC
)
where A: FnOnce() -> AR, AR: Into<String>,
LA: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LB: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LC: FnOnce(LinearCombination<E>) -> LinearCombination<E>
{
fn eval<E: Engine>(
l: LinearCombination<E>,
inputs: &mut [Vec<(E::Fr, usize)>],
aux: &mut [Vec<(E::Fr, usize)>],
this_constraint: usize
)
{
for (index, coeff) in l.0 {
match index {
Variable(Index::Input(id)) => inputs[id].push((coeff, this_constraint)),
Variable(Index::Aux(id)) => aux[id].push((coeff, this_constraint))
}
}
}
eval(a(LinearCombination::zero()), &mut self.at_inputs, &mut self.at_aux, self.num_constraints);
eval(b(LinearCombination::zero()), &mut self.bt_inputs, &mut self.bt_aux, self.num_constraints);
eval(c(LinearCombination::zero()), &mut self.ct_inputs, &mut self.ct_aux, self.num_constraints);
self.num_constraints += 1;
}
fn push_namespace<NR, N>(&mut self, _: N)
where NR: Into<String>, N: FnOnce() -> NR
{
// Do nothing; we don't care about namespaces in this context.
}
fn pop_namespace(&mut self)
{
// Do nothing; we don't care about namespaces in this context.
}
fn get_root(&mut self) -> &mut Self::Root {
self
}
}
/// Create parameters for a circuit, given some toxic waste.
pub fn generate_parameters<E, C>(
circuit: C,
g1: E::G1,
g2: E::G2,
alpha: E::Fr,
beta: E::Fr,
gamma: E::Fr,
delta: E::Fr,
tau: E::Fr
) -> Result<Parameters<E>, SynthesisError>
where E: Engine, C: Circuit<E>
{
let mut assembly = KeypairAssembly {
num_inputs: 0,
num_aux: 0,
num_constraints: 0,
at_inputs: vec![],
bt_inputs: vec![],
ct_inputs: vec![],
at_aux: vec![],
bt_aux: vec![],
ct_aux: vec![]
};
// Allocate the "one" input variable
assembly.alloc_input(|| "", || Ok(E::Fr::one()))?;
// Synthesize the circuit.
circuit.synthesize(&mut assembly)?;
// Input constraints to ensure full density of IC query
// x * 0 = 0
for i in 0..assembly.num_inputs {
assembly.enforce(|| "",
|lc| lc + Variable(Index::Input(i)),
|lc| lc,
|lc| lc,
);
}
// Create bases for blind evaluation of polynomials at tau
let powers_of_tau = vec![Scalar::<E>(E::Fr::zero()); assembly.num_constraints];
let mut powers_of_tau = EvaluationDomain::from_coeffs(powers_of_tau)?;
// Compute G1 window table
let mut g1_wnaf = Wnaf::new();
let g1_wnaf = g1_wnaf.base(g1, {
// H query
(powers_of_tau.as_ref().len() - 1)
// IC/L queries
+ assembly.num_inputs + assembly.num_aux
// A query
+ assembly.num_inputs + assembly.num_aux
// B query
+ assembly.num_inputs + assembly.num_aux
});
// Compute G2 window table
let mut g2_wnaf = Wnaf::new();
let g2_wnaf = g2_wnaf.base(g2, {
// B query
assembly.num_inputs + assembly.num_aux
});
let gamma_inverse = gamma.inverse().ok_or(SynthesisError::UnexpectedIdentity)?;
let delta_inverse = delta.inverse().ok_or(SynthesisError::UnexpectedIdentity)?;
let worker = Worker::new();
let mut h = vec![E::G1::zero(); powers_of_tau.as_ref().len() - 1];
{
// Compute powers of tau
{
let powers_of_tau = powers_of_tau.as_mut();
worker.scope(powers_of_tau.len(), |scope, chunk| {
for (i, powers_of_tau) in powers_of_tau.chunks_mut(chunk).enumerate()
{
scope.spawn(move || {
let mut current_tau_power = tau.pow(&[(i*chunk) as u64]);
for p in powers_of_tau {
p.0 = current_tau_power;
current_tau_power.mul_assign(&tau);
}
});
}
});
}
// coeff = t(x) / delta
let mut coeff = powers_of_tau.z(&tau);
coeff.mul_assign(&delta_inverse);
// Compute the H query with multiple threads
worker.scope(h.len(), |scope, chunk| {
for (h, p) in h.chunks_mut(chunk).zip(powers_of_tau.as_ref().chunks(chunk))
{
let mut g1_wnaf = g1_wnaf.shared();
scope.spawn(move || {
// Set values of the H query to g1^{(tau^i * t(tau)) / delta}
for (h, p) in h.iter_mut().zip(p.iter())
{
// Compute final exponent
let mut exp = p.0;
exp.mul_assign(&coeff);
// Exponentiate
*h = g1_wnaf.scalar(exp.into_repr());
}
// Batch normalize
E::G1::batch_normalization(h);
});
}
});
}
// Use inverse FFT to convert powers of tau to Lagrange coefficients
powers_of_tau.ifft(&worker);
let powers_of_tau = powers_of_tau.into_coeffs();
let mut a = vec![E::G1::zero(); assembly.num_inputs + assembly.num_aux];
let mut b_g1 = vec![E::G1::zero(); assembly.num_inputs + assembly.num_aux];
let mut b_g2 = vec![E::G2::zero(); assembly.num_inputs + assembly.num_aux];
let mut ic = vec![E::G1::zero(); assembly.num_inputs];
let mut l = vec![E::G1::zero(); assembly.num_aux];
fn eval<E: Engine>(
// wNAF window tables
g1_wnaf: &Wnaf<usize, &[E::G1], &mut Vec<i64>>,
g2_wnaf: &Wnaf<usize, &[E::G2], &mut Vec<i64>>,
// Lagrange coefficients for tau
powers_of_tau: &[Scalar<E>],
// QAP polynomials
at: &[Vec<(E::Fr, usize)>],
bt: &[Vec<(E::Fr, usize)>],
ct: &[Vec<(E::Fr, usize)>],
// Resulting evaluated QAP polynomials
a: &mut [E::G1],
b_g1: &mut [E::G1],
b_g2: &mut [E::G2],
ext: &mut [E::G1],
// Inverse coefficient for ext elements
inv: &E::Fr,
// Trapdoors
alpha: &E::Fr,
beta: &E::Fr,
// Worker
worker: &Worker
)
{
// Sanity check
assert_eq!(a.len(), at.len());
assert_eq!(a.len(), bt.len());
assert_eq!(a.len(), ct.len());
assert_eq!(a.len(), b_g1.len());
assert_eq!(a.len(), b_g2.len());
assert_eq!(a.len(), ext.len());
// Evaluate polynomials in multiple threads
worker.scope(a.len(), |scope, chunk| {
for ((((((a, b_g1), b_g2), ext), at), bt), ct) in a.chunks_mut(chunk)
.zip(b_g1.chunks_mut(chunk))
.zip(b_g2.chunks_mut(chunk))
.zip(ext.chunks_mut(chunk))
.zip(at.chunks(chunk))
.zip(bt.chunks(chunk))
.zip(ct.chunks(chunk))
{
let mut g1_wnaf = g1_wnaf.shared();
let mut g2_wnaf = g2_wnaf.shared();
scope.spawn(move || {
for ((((((a, b_g1), b_g2), ext), at), bt), ct) in a.iter_mut()
.zip(b_g1.iter_mut())
.zip(b_g2.iter_mut())
.zip(ext.iter_mut())
.zip(at.iter())
.zip(bt.iter())
.zip(ct.iter())
{
fn eval_at_tau<E: Engine>(
powers_of_tau: &[Scalar<E>],
p: &[(E::Fr, usize)]
) -> E::Fr
{
let mut acc = E::Fr::zero();
for &(ref coeff, index) in p {
let mut n = powers_of_tau[index].0;
n.mul_assign(coeff);
acc.add_assign(&n);
}
acc
}
// Evaluate QAP polynomials at tau
let mut at = eval_at_tau(powers_of_tau, at);
let mut bt = eval_at_tau(powers_of_tau, bt);
let ct = eval_at_tau(powers_of_tau, ct);
// Compute A query (in G1)
if !at.is_zero() {
*a = g1_wnaf.scalar(at.into_repr());
}
// Compute B query (in G1/G2)
if !bt.is_zero() {
let bt_repr = bt.into_repr();
*b_g1 = g1_wnaf.scalar(bt_repr);
*b_g2 = g2_wnaf.scalar(bt_repr);
}
at.mul_assign(&beta);
bt.mul_assign(&alpha);
let mut e = at;
e.add_assign(&bt);
e.add_assign(&ct);
e.mul_assign(inv);
*ext = g1_wnaf.scalar(e.into_repr());
}
// Batch normalize
E::G1::batch_normalization(a);
E::G1::batch_normalization(b_g1);
E::G2::batch_normalization(b_g2);
E::G1::batch_normalization(ext);
});
}
});
}
// Evaluate for inputs.
eval(
&g1_wnaf,
&g2_wnaf,
&powers_of_tau,
&assembly.at_inputs,
&assembly.bt_inputs,
&assembly.ct_inputs,
&mut a[0..assembly.num_inputs],
&mut b_g1[0..assembly.num_inputs],
&mut b_g2[0..assembly.num_inputs],
&mut ic,
&gamma_inverse,
&alpha,
&beta,
&worker
);
// Evaluate for auxillary variables.
eval(
&g1_wnaf,
&g2_wnaf,
&powers_of_tau,
&assembly.at_aux,
&assembly.bt_aux,
&assembly.ct_aux,
&mut a[assembly.num_inputs..],
&mut b_g1[assembly.num_inputs..],
&mut b_g2[assembly.num_inputs..],
&mut l,
&delta_inverse,
&alpha,
&beta,
&worker
);
// Don't allow any elements be unconstrained, so that
// the L query is always fully dense.
for e in l.iter() {
if e.is_zero() {
return Err(SynthesisError::UnconstrainedVariable);
}
}
let g1 = g1.into_affine();
let g2 = g2.into_affine();
let vk = VerifyingKey::<E> {
alpha_g1: g1.mul(alpha).into_affine(),
beta_g1: g1.mul(beta).into_affine(),
beta_g2: g2.mul(beta).into_affine(),
gamma_g2: g2.mul(gamma).into_affine(),
delta_g1: g1.mul(delta).into_affine(),
delta_g2: g2.mul(delta).into_affine(),
ic: ic.into_iter().map(|e| e.into_affine()).collect()
};
Ok(Parameters {
vk: vk,
h: Arc::new(h.into_iter().map(|e| e.into_affine()).collect()),
l: Arc::new(l.into_iter().map(|e| e.into_affine()).collect()),
// Filter points at infinity away from A/B queries
a: Arc::new(a.into_iter().filter(|e| !e.is_zero()).map(|e| e.into_affine()).collect()),
b_g1: Arc::new(b_g1.into_iter().filter(|e| !e.is_zero()).map(|e| e.into_affine()).collect()),
b_g2: Arc::new(b_g2.into_iter().filter(|e| !e.is_zero()).map(|e| e.into_affine()).collect())
})
}

576
bellman/src/groth16/mod.rs
View File

@ -0,0 +1,576 @@
use pairing::{
Engine,
CurveAffine,
EncodedPoint
};
use ::{
SynthesisError
};
use multiexp::SourceBuilder;
use std::io::{self, Read, Write};
use std::sync::Arc;
use byteorder::{BigEndian, WriteBytesExt, ReadBytesExt};
#[cfg(test)]
mod tests;
mod generator;
mod prover;
mod verifier;
pub use self::generator::*;
pub use self::prover::*;
pub use self::verifier::*;
#[derive(Clone)]
pub struct Proof<E: Engine> {
pub a: E::G1Affine,
pub b: E::G2Affine,
pub c: E::G1Affine
}
impl<E: Engine> PartialEq for Proof<E> {
fn eq(&self, other: &Self) -> bool {
self.a == other.a &&
self.b == other.b &&
self.c == other.c
}
}
impl<E: Engine> Proof<E> {
pub fn write<W: Write>(
&self,
mut writer: W
) -> io::Result<()>
{
writer.write_all(self.a.into_compressed().as_ref())?;
writer.write_all(self.b.into_compressed().as_ref())?;
writer.write_all(self.c.into_compressed().as_ref())?;
Ok(())
}
pub fn read<R: Read>(
mut reader: R
) -> io::Result<Self>
{
let mut g1_repr = <E::G1Affine as CurveAffine>::Compressed::empty();
let mut g2_repr = <E::G2Affine as CurveAffine>::Compressed::empty();
reader.read_exact(g1_repr.as_mut())?;
let a = g1_repr
.into_affine()
.map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))
.and_then(|e| if e.is_zero() {
Err(io::Error::new(io::ErrorKind::InvalidData, "point at infinity"))
} else {
Ok(e)
})?;
reader.read_exact(g2_repr.as_mut())?;
let b = g2_repr
.into_affine()
.map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))
.and_then(|e| if e.is_zero() {
Err(io::Error::new(io::ErrorKind::InvalidData, "point at infinity"))
} else {
Ok(e)
})?;
reader.read_exact(g1_repr.as_mut())?;
let c = g1_repr
.into_affine()
.map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))
.and_then(|e| if e.is_zero() {
Err(io::Error::new(io::ErrorKind::InvalidData, "point at infinity"))
} else {
Ok(e)
})?;
Ok(Proof {
a: a,
b: b,
c: c
})
}
}
#[derive(Clone)]
pub struct VerifyingKey<E: Engine> {
// alpha in g1 for verifying and for creating A/C elements of
// proof. Never the point at infinity.
pub alpha_g1: E::G1Affine,
// beta in g1 and g2 for verifying and for creating B/C elements
// of proof. Never the point at infinity.
pub beta_g1: E::G1Affine,
pub beta_g2: E::G2Affine,
// gamma in g2 for verifying. Never the point at infinity.
pub gamma_g2: E::G2Affine,
// delta in g1/g2 for verifying and proving, essentially the magic
// trapdoor that forces the prover to evaluate the C element of the
// proof with only components from the CRS. Never the point at
// infinity.
pub delta_g1: E::G1Affine,
pub delta_g2: E::G2Affine,
// Elements of the form (beta * u_i(tau) + alpha v_i(tau) + w_i(tau)) / gamma
// for all public inputs. Because all public inputs have a dummy constraint,
// this is the same size as the number of inputs, and never contains points
// at infinity.
pub ic: Vec<E::G1Affine>
}
impl<E: Engine> PartialEq for VerifyingKey<E> {
fn eq(&self, other: &Self) -> bool {
self.alpha_g1 == other.alpha_g1 &&
self.beta_g1 == other.beta_g1 &&
self.beta_g2 == other.beta_g2 &&
self.gamma_g2 == other.gamma_g2 &&
self.delta_g1 == other.delta_g1 &&
self.delta_g2 == other.delta_g2 &&
self.ic == other.ic
}
}
impl<E: Engine> VerifyingKey<E> {
pub fn write<W: Write>(
&self,
mut writer: W
) -> io::Result<()>
{
writer.write_all(self.alpha_g1.into_uncompressed().as_ref())?;
writer.write_all(self.beta_g1.into_uncompressed().as_ref())?;
writer.write_all(self.beta_g2.into_uncompressed().as_ref())?;
writer.write_all(self.gamma_g2.into_uncompressed().as_ref())?;
writer.write_all(self.delta_g1.into_uncompressed().as_ref())?;
writer.write_all(self.delta_g2.into_uncompressed().as_ref())?;
writer.write_u32::<BigEndian>(self.ic.len() as u32)?;
for ic in &self.ic {
writer.write_all(ic.into_uncompressed().as_ref())?;
}
Ok(())
}
pub fn read<R: Read>(
mut reader: R
) -> io::Result<Self>
{
let mut g1_repr = <E::G1Affine as CurveAffine>::Uncompressed::empty();
let mut g2_repr = <E::G2Affine as CurveAffine>::Uncompressed::empty();
reader.read_exact(g1_repr.as_mut())?;
let alpha_g1 = g1_repr.into_affine().map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))?;
reader.read_exact(g1_repr.as_mut())?;
let beta_g1 = g1_repr.into_affine().map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))?;
reader.read_exact(g2_repr.as_mut())?;
let beta_g2 = g2_repr.into_affine().map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))?;
reader.read_exact(g2_repr.as_mut())?;
let gamma_g2 = g2_repr.into_affine().map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))?;
reader.read_exact(g1_repr.as_mut())?;
let delta_g1 = g1_repr.into_affine().map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))?;
reader.read_exact(g2_repr.as_mut())?;
let delta_g2 = g2_repr.into_affine().map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))?;
let ic_len = reader.read_u32::<BigEndian>()? as usize;
let mut ic = vec![];
for _ in 0..ic_len {
reader.read_exact(g1_repr.as_mut())?;
let g1 = g1_repr
.into_affine()
.map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))
.and_then(|e| if e.is_zero() {
Err(io::Error::new(io::ErrorKind::InvalidData, "point at infinity"))
} else {
Ok(e)
})?;
ic.push(g1);
}
Ok(VerifyingKey {
alpha_g1: alpha_g1,
beta_g1: beta_g1,
beta_g2: beta_g2,
gamma_g2: gamma_g2,
delta_g1: delta_g1,
delta_g2: delta_g2,
ic: ic
})
}
}
#[derive(Clone)]
pub struct Parameters<E: Engine> {
pub vk: VerifyingKey<E>,
// Elements of the form ((tau^i * t(tau)) / delta) for i between 0 and
// m-2 inclusive. Never contains points at infinity.
pub h: Arc<Vec<E::G1Affine>>,
// Elements of the form (beta * u_i(tau) + alpha v_i(tau) + w_i(tau)) / delta
// for all auxillary inputs. Variables can never be unconstrained, so this
// never contains points at infinity.
pub l: Arc<Vec<E::G1Affine>>,
// QAP "A" polynomials evaluated at tau in the Lagrange basis. Never contains
// points at infinity: polynomials that evaluate to zero are omitted from
// the CRS and the prover can deterministically skip their evaluation.
pub a: Arc<Vec<E::G1Affine>>,
// QAP "B" polynomials evaluated at tau in the Lagrange basis. Needed in
// G1 and G2 for C/B queries, respectively. Never contains points at
// infinity for the same reason as the "A" polynomials.
pub b_g1: Arc<Vec<E::G1Affine>>,
pub b_g2: Arc<Vec<E::G2Affine>>
}
impl<E: Engine> PartialEq for Parameters<E> {
fn eq(&self, other: &Self) -> bool {
self.vk == other.vk &&
self.h == other.h &&
self.l == other.l &&
self.a == other.a &&
self.b_g1 == other.b_g1 &&
self.b_g2 == other.b_g2
}
}
impl<E: Engine> Parameters<E> {
pub fn write<W: Write>(
&self,
mut writer: W
) -> io::Result<()>
{
self.vk.write(&mut writer)?;
writer.write_u32::<BigEndian>(self.h.len() as u32)?;
for g in &self.h[..] {
writer.write_all(g.into_uncompressed().as_ref())?;
}
writer.write_u32::<BigEndian>(self.l.len() as u32)?;
for g in &self.l[..] {
writer.write_all(g.into_uncompressed().as_ref())?;
}
writer.write_u32::<BigEndian>(self.a.len() as u32)?;
for g in &self.a[..] {
writer.write_all(g.into_uncompressed().as_ref())?;
}
writer.write_u32::<BigEndian>(self.b_g1.len() as u32)?;
for g in &self.b_g1[..] {
writer.write_all(g.into_uncompressed().as_ref())?;
}
writer.write_u32::<BigEndian>(self.b_g2.len() as u32)?;
for g in &self.b_g2[..] {
writer.write_all(g.into_uncompressed().as_ref())?;
}
Ok(())
}
pub fn read<R: Read>(
mut reader: R,
checked: bool
) -> io::Result<Self>
{
let read_g1 = |reader: &mut R| -> io::Result<E::G1Affine> {
let mut repr = <E::G1Affine as CurveAffine>::Uncompressed::empty();
reader.read_exact(repr.as_mut())?;
if checked {
repr
.into_affine()
} else {
repr
.into_affine_unchecked()
}
.map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))
.and_then(|e| if e.is_zero() {
Err(io::Error::new(io::ErrorKind::InvalidData, "point at infinity"))
} else {
Ok(e)
})
};
let read_g2 = |reader: &mut R| -> io::Result<E::G2Affine> {
let mut repr = <E::G2Affine as CurveAffine>::Uncompressed::empty();
reader.read_exact(repr.as_mut())?;
if checked {
repr
.into_affine()
} else {
repr
.into_affine_unchecked()
}
.map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))
.and_then(|e| if e.is_zero() {
Err(io::Error::new(io::ErrorKind::InvalidData, "point at infinity"))
} else {
Ok(e)
})
};
let vk = VerifyingKey::<E>::read(&mut reader)?;
let mut h = vec![];
let mut l = vec![];
let mut a = vec![];
let mut b_g1 = vec![];
let mut b_g2 = vec![];
{
let len = reader.read_u32::<BigEndian>()? as usize;
for _ in 0..len {
h.push(read_g1(&mut reader)?);
}
}
{
let len = reader.read_u32::<BigEndian>()? as usize;
for _ in 0..len {
l.push(read_g1(&mut reader)?);
}
}
{
let len = reader.read_u32::<BigEndian>()? as usize;
for _ in 0..len {
a.push(read_g1(&mut reader)?);
}
}
{
let len = reader.read_u32::<BigEndian>()? as usize;
for _ in 0..len {
b_g1.push(read_g1(&mut reader)?);
}
}
{
let len = reader.read_u32::<BigEndian>()? as usize;
for _ in 0..len {
b_g2.push(read_g2(&mut reader)?);
}
}
Ok(Parameters {
vk: vk,
h: Arc::new(h),
l: Arc::new(l),
a: Arc::new(a),
b_g1: Arc::new(b_g1),
b_g2: Arc::new(b_g2)
})
}
}
pub struct PreparedVerifyingKey<E: Engine> {
/// Pairing result of alpha*beta
alpha_g1_beta_g2: E::Fqk,
/// -gamma in G2
neg_gamma_g2: <E::G2Affine as CurveAffine>::Prepared,
/// -delta in G2
neg_delta_g2: <E::G2Affine as CurveAffine>::Prepared,
/// Copy of IC from `VerifiyingKey`.
ic: Vec<E::G1Affine>
}
pub trait ParameterSource<E: Engine> {
type G1Builder: SourceBuilder<E::G1Affine>;
type G2Builder: SourceBuilder<E::G2Affine>;
fn get_vk(
&mut self,
num_ic: usize
) -> Result<VerifyingKey<E>, SynthesisError>;
fn get_h(
&mut self,
num_h: usize
) -> Result<Self::G1Builder, SynthesisError>;
fn get_l(
&mut self,
num_l: usize
) -> Result<Self::G1Builder, SynthesisError>;
fn get_a(
&mut self,
num_inputs: usize,
num_aux: usize
) -> Result<(Self::G1Builder, Self::G1Builder), SynthesisError>;
fn get_b_g1(
&mut self,
num_inputs: usize,
num_aux: usize
) -> Result<(Self::G1Builder, Self::G1Builder), SynthesisError>;
fn get_b_g2(
&mut self,
num_inputs: usize,
num_aux: usize
) -> Result<(Self::G2Builder, Self::G2Builder), SynthesisError>;
}
impl<'a, E: Engine> ParameterSource<E> for &'a Parameters<E> {
type G1Builder = (Arc<Vec<E::G1Affine>>, usize);
type G2Builder = (Arc<Vec<E::G2Affine>>, usize);
fn get_vk(
&mut self,
_: usize
) -> Result<VerifyingKey<E>, SynthesisError>
{
Ok(self.vk.clone())
}
fn get_h(
&mut self,
_: usize
) -> Result<Self::G1Builder, SynthesisError>
{
Ok((self.h.clone(), 0))
}
fn get_l(
&mut self,
_: usize
) -> Result<Self::G1Builder, SynthesisError>
{
Ok((self.l.clone(), 0))
}
fn get_a(
&mut self,
num_inputs: usize,
_: usize
) -> Result<(Self::G1Builder, Self::G1Builder), SynthesisError>
{
Ok(((self.a.clone(), 0), (self.a.clone(), num_inputs)))
}
fn get_b_g1(
&mut self,
num_inputs: usize,
_: usize
) -> Result<(Self::G1Builder, Self::G1Builder), SynthesisError>
{
Ok(((self.b_g1.clone(), 0), (self.b_g1.clone(), num_inputs)))
}
fn get_b_g2(
&mut self,
num_inputs: usize,
_: usize
) -> Result<(Self::G2Builder, Self::G2Builder), SynthesisError>
{
Ok(((self.b_g2.clone(), 0), (self.b_g2.clone(), num_inputs)))
}
}
#[cfg(test)]
mod test_with_bls12_381 {
use super::*;
use {Circuit, SynthesisError, ConstraintSystem};
use rand::{Rand, thread_rng};
use pairing::{Field};
use pairing::bls12_381::{Bls12, Fr};
#[test]
fn serialization() {
struct MySillyCircuit<E: Engine> {
a: Option<E::Fr>,
b: Option<E::Fr>
}
impl<E: Engine> Circuit<E> for MySillyCircuit<E> {
fn synthesize<CS: ConstraintSystem<E>>(
self,
cs: &mut CS
) -> Result<(), SynthesisError>
{
let a = cs.alloc(|| "a", || self.a.ok_or(SynthesisError::AssignmentMissing))?;
let b = cs.alloc(|| "b", || self.b.ok_or(SynthesisError::AssignmentMissing))?;
let c = cs.alloc_input(|| "c", || {
let mut a = self.a.ok_or(SynthesisError::AssignmentMissing)?;
let b = self.b.ok_or(SynthesisError::AssignmentMissing)?;
a.mul_assign(&b);
Ok(a)
})?;
cs.enforce(
|| "a*b=c",
|lc| lc + a,
|lc| lc + b,
|lc| lc + c
);
Ok(())
}
}
let rng = &mut thread_rng();
let params = generate_random_parameters::<Bls12, _, _>(
MySillyCircuit { a: None, b: None },
rng
).unwrap();
{
let mut v = vec![];
params.write(&mut v).unwrap();
assert_eq!(v.len(), 2136);
let de_params = Parameters::read(&v[..], true).unwrap();
assert!(params == de_params);
let de_params = Parameters::read(&v[..], false).unwrap();
assert!(params == de_params);
}
let pvk = prepare_verifying_key::<Bls12>(&params.vk);
for _ in 0..100 {
let a = Fr::rand(rng);
let b = Fr::rand(rng);
let mut c = a;
c.mul_assign(&b);
let proof = create_random_proof(
MySillyCircuit {
a: Some(a),
b: Some(b)
},
&params,
rng
).unwrap();
let mut v = vec![];
proof.write(&mut v).unwrap();
assert_eq!(v.len(), 192);
let de_proof = Proof::read(&v[..]).unwrap();
assert!(proof == de_proof);
assert!(verify_proof(&pvk, &proof, &[c]).unwrap());
assert!(!verify_proof(&pvk, &proof, &[a]).unwrap());
}
}
}

334
bellman/src/groth16/prover.rs
View File

@ -0,0 +1,334 @@
use rand::Rng;
use std::sync::Arc;
use futures::Future;
use pairing::{
Engine,
PrimeField,
Field,
CurveProjective,
CurveAffine
};
use super::{
ParameterSource,
Proof
};
use ::{
SynthesisError,
Circuit,
ConstraintSystem,
LinearCombination,
Variable,
Index
};
use ::domain::{
EvaluationDomain,
Scalar
};
use ::multiexp::{
DensityTracker,
FullDensity,
multiexp
};
use ::multicore::{
Worker
};
fn eval<E: Engine>(
lc: &LinearCombination<E>,
mut input_density: Option<&mut DensityTracker>,
mut aux_density: Option<&mut DensityTracker>,
input_assignment: &[E::Fr],
aux_assignment: &[E::Fr]
) -> E::Fr
{
let mut acc = E::Fr::zero();
for &(index, coeff) in lc.0.iter() {
let mut tmp;
match index {
Variable(Index::Input(i)) => {
tmp = input_assignment[i];
if let Some(ref mut v) = input_density {
v.inc(i);
}
},
Variable(Index::Aux(i)) => {
tmp = aux_assignment[i];
if let Some(ref mut v) = aux_density {
v.inc(i);
}
}
}
if coeff == E::Fr::one() {
acc.add_assign(&tmp);
} else {
tmp.mul_assign(&coeff);
acc.add_assign(&tmp);
}
}
acc
}
struct ProvingAssignment<E: Engine> {
// Density of queries
a_aux_density: DensityTracker,
b_input_density: DensityTracker,
b_aux_density: DensityTracker,
// Evaluations of A, B, C polynomials
a: Vec<Scalar<E>>,
b: Vec<Scalar<E>>,
c: Vec<Scalar<E>>,
// Assignments of variables
input_assignment: Vec<E::Fr>,
aux_assignment: Vec<E::Fr>
}
impl<E: Engine> ConstraintSystem<E> for ProvingAssignment<E> {
type Root = Self;
fn alloc<F, A, AR>(
&mut self,
_: A,
f: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>
{
self.aux_assignment.push(f()?);
self.a_aux_density.add_element();
self.b_aux_density.add_element();
Ok(Variable(Index::Aux(self.aux_assignment.len() - 1)))
}
fn alloc_input<F, A, AR>(
&mut self,
_: A,
f: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>
{
self.input_assignment.push(f()?);
self.b_input_density.add_element();
Ok(Variable(Index::Input(self.input_assignment.len() - 1)))
}
fn enforce<A, AR, LA, LB, LC>(
&mut self,
_: A,
a: LA,
b: LB,
c: LC
)
where A: FnOnce() -> AR, AR: Into<String>,
LA: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LB: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LC: FnOnce(LinearCombination<E>) -> LinearCombination<E>
{
let a = a(LinearCombination::zero());
let b = b(LinearCombination::zero());
let c = c(LinearCombination::zero());
self.a.push(Scalar(eval(
&a,
// Inputs have full density in the A query
// because there are constraints of the
// form x * 0 = 0 for each input.
None,
Some(&mut self.a_aux_density),
&self.input_assignment,
&self.aux_assignment
)));
self.b.push(Scalar(eval(
&b,
Some(&mut self.b_input_density),
Some(&mut self.b_aux_density),
&self.input_assignment,
&self.aux_assignment
)));
self.c.push(Scalar(eval(
&c,
// There is no C polynomial query,
// though there is an (beta)A + (alpha)B + C
// query for all aux variables.
// However, that query has full density.
None,
None,
&self.input_assignment,
&self.aux_assignment
)));
}
fn push_namespace<NR, N>(&mut self, _: N)
where NR: Into<String>, N: FnOnce() -> NR
{
// Do nothing; we don't care about namespaces in this context.
}
fn pop_namespace(&mut self)
{
// Do nothing; we don't care about namespaces in this context.
}
fn get_root(&mut self) -> &mut Self::Root {
self
}
}
pub fn create_random_proof<E, C, R, P: ParameterSource<E>>(
circuit: C,
params: P,
rng: &mut R
) -> Result<Proof<E>, SynthesisError>
where E: Engine, C: Circuit<E>, R: Rng
{
let r = rng.gen();
let s = rng.gen();
create_proof::<E, C, P>(circuit, params, r, s)
}
pub fn create_proof<E, C, P: ParameterSource<E>>(
circuit: C,
mut params: P,
r: E::Fr,
s: E::Fr
) -> Result<Proof<E>, SynthesisError>
where E: Engine, C: Circuit<E>
{
let mut prover = ProvingAssignment {
a_aux_density: DensityTracker::new(),
b_input_density: DensityTracker::new(),
b_aux_density: DensityTracker::new(),
a: vec![],
b: vec![],
c: vec![],
input_assignment: vec![],
aux_assignment: vec![]
};
prover.alloc_input(|| "", || Ok(E::Fr::one()))?;
circuit.synthesize(&mut prover)?;
for i in 0..prover.input_assignment.len() {
prover.enforce(|| "",
|lc| lc + Variable(Index::Input(i)),
|lc| lc,
|lc| lc,
);
}
let worker = Worker::new();
let vk = params.get_vk(prover.input_assignment.len())?;
let h = {
let mut a = EvaluationDomain::from_coeffs(prover.a)?;
let mut b = EvaluationDomain::from_coeffs(prover.b)?;
let mut c = EvaluationDomain::from_coeffs(prover.c)?;
a.ifft(&worker);
a.coset_fft(&worker);
b.ifft(&worker);
b.coset_fft(&worker);
c.ifft(&worker);
c.coset_fft(&worker);
a.mul_assign(&worker, &b);
drop(b);
a.sub_assign(&worker, &c);
drop(c);
a.divide_by_z_on_coset(&worker);
a.icoset_fft(&worker);
let mut a = a.into_coeffs();
let a_len = a.len() - 1;
a.truncate(a_len);
// TODO: parallelize if it's even helpful
let a = Arc::new(a.into_iter().map(|s| s.0.into_repr()).collect::<Vec<_>>());
multiexp(&worker, params.get_h(a.len())?, FullDensity, a)
};
// TODO: parallelize if it's even helpful
let input_assignment = Arc::new(prover.input_assignment.into_iter().map(|s| s.into_repr()).collect::<Vec<_>>());
let aux_assignment = Arc::new(prover.aux_assignment.into_iter().map(|s| s.into_repr()).collect::<Vec<_>>());
let l = multiexp(&worker, params.get_l(aux_assignment.len())?, FullDensity, aux_assignment.clone());
let a_aux_density_total = prover.a_aux_density.get_total_density();
let (a_inputs_source, a_aux_source) = params.get_a(input_assignment.len(), a_aux_density_total)?;
let a_inputs = multiexp(&worker, a_inputs_source, FullDensity, input_assignment.clone());
let a_aux = multiexp(&worker, a_aux_source, Arc::new(prover.a_aux_density), aux_assignment.clone());
let b_input_density = Arc::new(prover.b_input_density);
let b_input_density_total = b_input_density.get_total_density();
let b_aux_density = Arc::new(prover.b_aux_density);
let b_aux_density_total = b_aux_density.get_total_density();
let (b_g1_inputs_source, b_g1_aux_source) = params.get_b_g1(b_input_density_total, b_aux_density_total)?;
let b_g1_inputs = multiexp(&worker, b_g1_inputs_source, b_input_density.clone(), input_assignment.clone());
let b_g1_aux = multiexp(&worker, b_g1_aux_source, b_aux_density.clone(), aux_assignment.clone());
let (b_g2_inputs_source, b_g2_aux_source) = params.get_b_g2(b_input_density_total, b_aux_density_total)?;
let b_g2_inputs = multiexp(&worker, b_g2_inputs_source, b_input_density, input_assignment);
let b_g2_aux = multiexp(&worker, b_g2_aux_source, b_aux_density, aux_assignment);
if vk.delta_g1.is_zero() || vk.delta_g2.is_zero() {
// If this element is zero, someone is trying to perform a
// subversion-CRS attack.
return Err(SynthesisError::UnexpectedIdentity);
}
let mut g_a = vk.delta_g1.mul(r);
g_a.add_assign_mixed(&vk.alpha_g1);
let mut g_b = vk.delta_g2.mul(s);
g_b.add_assign_mixed(&vk.beta_g2);
let mut g_c;
{
let mut rs = r;
rs.mul_assign(&s);
g_c = vk.delta_g1.mul(rs);
g_c.add_assign(&vk.alpha_g1.mul(s));
g_c.add_assign(&vk.beta_g1.mul(r));
}
let mut a_answer = a_inputs.wait()?;
a_answer.add_assign(&a_aux.wait()?);
g_a.add_assign(&a_answer);
a_answer.mul_assign(s);
g_c.add_assign(&a_answer);
let mut b1_answer = b_g1_inputs.wait()?;
b1_answer.add_assign(&b_g1_aux.wait()?);
let mut b2_answer = b_g2_inputs.wait()?;
b2_answer.add_assign(&b_g2_aux.wait()?);
g_b.add_assign(&b2_answer);
b1_answer.mul_assign(r);
g_c.add_assign(&b1_answer);
g_c.add_assign(&h.wait()?);
g_c.add_assign(&l.wait()?);
Ok(Proof {
a: g_a.into_affine(),
b: g_b.into_affine(),
c: g_c.into_affine()
})
}

451
bellman/src/groth16/tests/dummy_engine.rs
View File

@ -0,0 +1,451 @@
use pairing::{
Engine,
PrimeField,
PrimeFieldRepr,
Field,
SqrtField,
LegendreSymbol,
CurveProjective,
CurveAffine,
PrimeFieldDecodingError,
GroupDecodingError,
EncodedPoint
};
use std::cmp::Ordering;
use std::fmt;
use rand::{Rand, Rng};
use std::num::Wrapping;
const MODULUS_R: Wrapping<u32> = Wrapping(64513);
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
pub struct Fr(Wrapping<u32>);
impl fmt::Display for Fr {
fn fmt(&self, f: &mut fmt::Formatter) -> Result<(), fmt::Error> {
write!(f, "{}", (self.0).0)
}
}
impl Rand for Fr {
fn rand<R: Rng>(rng: &mut R) -> Self {
Fr(Wrapping(rng.gen()) % MODULUS_R)
}
}
impl Field for Fr {
fn zero() -> Self {
Fr(Wrapping(0))
}
fn one() -> Self {
Fr(Wrapping(1))
}
fn is_zero(&self) -> bool {
(self.0).0 == 0
}
fn square(&mut self) {
self.0 = (self.0 * self.0) % MODULUS_R;
}
fn double(&mut self) {
self.0 = (self.0 << 1) % MODULUS_R;
}
fn negate(&mut self) {
if !<Fr as Field>::is_zero(self) {
self.0 = MODULUS_R - self.0;
}
}
fn add_assign(&mut self, other: &Self) {
self.0 = (self.0 + other.0) % MODULUS_R;
}
fn sub_assign(&mut self, other: &Self) {
self.0 = ((MODULUS_R + self.0) - other.0) % MODULUS_R;
}
fn mul_assign(&mut self, other: &Self) {
self.0 = (self.0 * other.0) % MODULUS_R;
}
fn inverse(&self) -> Option<Self> {
if <Fr as Field>::is_zero(self) {
None
} else {
Some(self.pow(&[(MODULUS_R.0 as u64) - 2]))
}
}
fn frobenius_map(&mut self, _: usize) {
// identity
}
}
impl SqrtField for Fr {
fn legendre(&self) -> LegendreSymbol {
// s = self^((r - 1) // 2)
let s = self.pow([32256]);
if s == <Fr as Field>::zero() { LegendreSymbol::Zero }
else if s == <Fr as Field>::one() { LegendreSymbol::QuadraticResidue }
else { LegendreSymbol::QuadraticNonResidue }
}
fn sqrt(&self) -> Option<Self> {
// Tonelli-Shank's algorithm for q mod 16 = 1
// https://eprint.iacr.org/2012/685.pdf (page 12, algorithm 5)
match self.legendre() {
LegendreSymbol::Zero => Some(*self),
LegendreSymbol::QuadraticNonResidue => None,
LegendreSymbol::QuadraticResidue => {
let mut c = Fr::root_of_unity();
// r = self^((t + 1) // 2)
let mut r = self.pow([32]);
// t = self^t
let mut t = self.pow([63]);
let mut m = Fr::S;
while t != <Fr as Field>::one() {
let mut i = 1;
{
let mut t2i = t;
t2i.square();
loop {
if t2i == <Fr as Field>::one() {
break;
}
t2i.square();
i += 1;
}
}
for _ in 0..(m - i - 1) {
c.square();
}
<Fr as Field>::mul_assign(&mut r, &c);
c.square();
<Fr as Field>::mul_assign(&mut t, &c);
m = i;
}
Some(r)
}
}
}
}
#[derive(Copy, Clone, Debug, Eq, PartialEq)]
pub struct FrRepr([u64; 1]);
impl Ord for FrRepr {
fn cmp(&self, other: &FrRepr) -> Ordering {
(self.0)[0].cmp(&(other.0)[0])
}
}
impl PartialOrd for FrRepr {
fn partial_cmp(&self, other: &FrRepr) -> Option<Ordering> {
Some(self.cmp(other))
}
}
impl Rand for FrRepr {
fn rand<R: Rng>(rng: &mut R) -> Self {
FrRepr([rng.gen()])
}
}
impl fmt::Display for FrRepr {
fn fmt(&self, f: &mut fmt::Formatter) -> Result<(), fmt::Error> {
write!(f, "{}", (self.0)[0])
}
}
impl From<u64> for FrRepr {
fn from(v: u64) -> FrRepr {
FrRepr([v])
}
}
impl From<Fr> for FrRepr {
fn from(v: Fr) -> FrRepr {
FrRepr([(v.0).0 as u64])
}
}
impl AsMut<[u64]> for FrRepr {
fn as_mut(&mut self) -> &mut [u64] {
&mut self.0[..]
}
}
impl AsRef<[u64]> for FrRepr {
fn as_ref(&self) -> &[u64] {
&self.0[..]
}
}
impl Default for FrRepr {
fn default() -> FrRepr {
FrRepr::from(0u64)
}
}
impl PrimeFieldRepr for FrRepr {
fn sub_noborrow(&mut self, other: &Self) {
self.0[0] = self.0[0].wrapping_sub(other.0[0]);
}
fn add_nocarry(&mut self, other: &Self) {
self.0[0] = self.0[0].wrapping_add(other.0[0]);
}
fn num_bits(&self) -> u32 {
64 - self.0[0].leading_zeros()
}
fn is_zero(&self) -> bool {
self.0[0] == 0
}
fn is_odd(&self) -> bool {
!self.is_even()
}
fn is_even(&self) -> bool {
self.0[0] % 2 == 0
}
fn div2(&mut self) {
self.shr(1)
}
fn shr(&mut self, amt: u32) {
self.0[0] >>= amt;
}
fn mul2(&mut self) {
self.shl(1)
}
fn shl(&mut self, amt: u32) {
self.0[0] <<= amt;
}
}
impl PrimeField for Fr {
type Repr = FrRepr;
const NUM_BITS: u32 = 16;
const CAPACITY: u32 = 15;
const S: u32 = 10;
fn from_repr(repr: FrRepr) -> Result<Self, PrimeFieldDecodingError> {
if repr.0[0] >= (MODULUS_R.0 as u64) {
Err(PrimeFieldDecodingError::NotInField(format!("{}", repr)))
} else {
Ok(Fr(Wrapping(repr.0[0] as u32)))
}
}
fn into_repr(&self) -> FrRepr {
FrRepr::from(*self)
}
fn char() -> FrRepr {
Fr(MODULUS_R).into()
}
fn multiplicative_generator() -> Fr {
Fr(Wrapping(5))
}
fn root_of_unity() -> Fr {
Fr(Wrapping(57751))
}
}
#[derive(Clone)]
pub struct DummyEngine;
impl Engine for DummyEngine {
type Fr = Fr;
type G1 = Fr;
type G1Affine = Fr;
type G2 = Fr;
type G2Affine = Fr;
type Fq = Fr;
type Fqe = Fr;
// TODO: This should be F_645131 or something. Doesn't matter for now.
type Fqk = Fr;
fn miller_loop<'a, I>(i: I) -> Self::Fqk
where I: IntoIterator<Item=&'a (
&'a <Self::G1Affine as CurveAffine>::Prepared,
&'a <Self::G2Affine as CurveAffine>::Prepared
)>
{
let mut acc = <Fr as Field>::zero();
for &(a, b) in i {
let mut tmp = *a;
<Fr as Field>::mul_assign(&mut tmp, b);
<Fr as Field>::add_assign(&mut acc, &tmp);
}
acc
}
/// Perform final exponentiation of the result of a miller loop.
fn final_exponentiation(this: &Self::Fqk) -> Option<Self::Fqk>
{
Some(*this)
}
}
impl CurveProjective for Fr {
type Affine = Fr;
type Base = Fr;
type Scalar = Fr;
type Engine = DummyEngine;
fn zero() -> Self {
<Fr as Field>::zero()
}
fn one() -> Self {
<Fr as Field>::one()
}
fn is_zero(&self) -> bool {
<Fr as Field>::is_zero(self)
}
fn batch_normalization(_: &mut [Self]) {
}
fn is_normalized(&self) -> bool {
true
}
fn double(&mut self) {
<Fr as Field>::double(self);
}
fn add_assign(&mut self, other: &Self) {
<Fr as Field>::add_assign(self, other);
}
fn add_assign_mixed(&mut self, other: &Self) {
<Fr as Field>::add_assign(self, other);
}
fn negate(&mut self) {
<Fr as Field>::negate(self);
}
fn mul_assign<S: Into<<Self::Scalar as PrimeField>::Repr>>(&mut self, other: S)
{
let tmp = Fr::from_repr(other.into()).unwrap();
<Fr as Field>::mul_assign(self, &tmp);
}
fn into_affine(&self) -> Fr {
*self
}
fn recommended_wnaf_for_scalar(_: <Self::Scalar as PrimeField>::Repr) -> usize {
3
}
fn recommended_wnaf_for_num_scalars(_: usize) -> usize {
3
}
}
#[derive(Copy, Clone)]
pub struct FakePoint;
impl AsMut<[u8]> for FakePoint {
fn as_mut(&mut self) -> &mut [u8] {
unimplemented!()
}
}
impl AsRef<[u8]> for FakePoint {
fn as_ref(&self) -> &[u8] {
unimplemented!()
}
}
impl EncodedPoint for FakePoint {
type Affine = Fr;
fn empty() -> Self {
unimplemented!()
}
fn size() -> usize {
unimplemented!()
}
fn into_affine(&self) -> Result<Self::Affine, GroupDecodingError> {
unimplemented!()
}
fn into_affine_unchecked(&self) -> Result<Self::Affine, GroupDecodingError> {
unimplemented!()
}
fn from_affine(_: Self::Affine) -> Self {
unimplemented!()
}
}
impl CurveAffine for Fr {
type Pair = Fr;
type PairingResult = Fr;
type Compressed = FakePoint;
type Uncompressed = FakePoint;
type Prepared = Fr;
type Projective = Fr;
type Base = Fr;
type Scalar = Fr;
type Engine = DummyEngine;
fn zero() -> Self {
<Fr as Field>::zero()
}
fn one() -> Self {
<Fr as Field>::one()
}
fn is_zero(&self) -> bool {
<Fr as Field>::is_zero(self)
}
fn negate(&mut self) {
<Fr as Field>::negate(self);
}
fn mul<S: Into<<Self::Scalar as PrimeField>::Repr>>(&self, other: S) -> Self::Projective
{
let mut res = *self;
let tmp = Fr::from_repr(other.into()).unwrap();
<Fr as Field>::mul_assign(&mut res, &tmp);
res
}
fn prepare(&self) -> Self::Prepared {
*self
}
fn pairing_with(&self, other: &Self::Pair) -> Self::PairingResult {
self.mul(*other)
}
fn into_projective(&self) -> Self::Projective {
*self
}
}

400
bellman/src/groth16/tests/mod.rs
View File

@ -0,0 +1,400 @@
use pairing::{
Engine,
Field,
PrimeField
};
mod dummy_engine;
use self::dummy_engine::*;
use std::marker::PhantomData;
use ::{
Circuit,
ConstraintSystem,
SynthesisError
};
use super::{
generate_parameters,
prepare_verifying_key,
create_proof,
verify_proof
};
struct XORDemo<E: Engine> {
a: Option<bool>,
b: Option<bool>,
_marker: PhantomData<E>
}
impl<E: Engine> Circuit<E> for XORDemo<E> {
fn synthesize<CS: ConstraintSystem<E>>(
self,
cs: &mut CS
) -> Result<(), SynthesisError>
{
let a_var = cs.alloc(|| "a", || {
if self.a.is_some() {
if self.a.unwrap() {
Ok(E::Fr::one())
} else {
Ok(E::Fr::zero())
}
} else {
Err(SynthesisError::AssignmentMissing)
}
})?;
cs.enforce(
|| "a_boolean_constraint",
|lc| lc + CS::one() - a_var,
|lc| lc + a_var,
|lc| lc
);
let b_var = cs.alloc(|| "b", || {
if self.b.is_some() {
if self.b.unwrap() {
Ok(E::Fr::one())
} else {
Ok(E::Fr::zero())
}
} else {
Err(SynthesisError::AssignmentMissing)
}
})?;
cs.enforce(
|| "b_boolean_constraint",
|lc| lc + CS::one() - b_var,
|lc| lc + b_var,
|lc| lc
);
let c_var = cs.alloc_input(|| "c", || {
if self.a.is_some() && self.b.is_some() {
if self.a.unwrap() ^ self.b.unwrap() {
Ok(E::Fr::one())
} else {
Ok(E::Fr::zero())
}
} else {
Err(SynthesisError::AssignmentMissing)
}
})?;
cs.enforce(
|| "c_xor_constraint",
|lc| lc + a_var + a_var,
|lc| lc + b_var,
|lc| lc + a_var + b_var - c_var
);
Ok(())
}
}
#[test]
fn test_xordemo() {
let g1 = Fr::one();
let g2 = Fr::one();
let alpha = Fr::from_str("48577").unwrap();
let beta = Fr::from_str("22580").unwrap();
let gamma = Fr::from_str("53332").unwrap();
let delta = Fr::from_str("5481").unwrap();
let tau = Fr::from_str("3673").unwrap();
let params = {
let c = XORDemo::<DummyEngine> {
a: None,
b: None,
_marker: PhantomData
};
generate_parameters(
c,
g1,
g2,
alpha,
beta,
gamma,
delta,
tau
).unwrap()
};
// This will synthesize the constraint system:
//
// public inputs: a_0 = 1, a_1 = c
// aux inputs: a_2 = a, a_3 = b
// constraints:
// (a_0 - a_2) * (a_2) = 0
// (a_0 - a_3) * (a_3) = 0
// (a_2 + a_2) * (a_3) = (a_2 + a_3 - a_1)
// (a_0) * 0 = 0
// (a_1) * 0 = 0
// The evaluation domain is 8. The H query should
// have 7 elements (it's a quotient polynomial)
assert_eq!(7, params.h.len());
let mut root_of_unity = Fr::root_of_unity();
// We expect this to be a 2^10 root of unity
assert_eq!(Fr::one(), root_of_unity.pow(&[1 << 10]));
// Let's turn it into a 2^3 root of unity.
root_of_unity = root_of_unity.pow(&[1 << 7]);
assert_eq!(Fr::one(), root_of_unity.pow(&[1 << 3]));
assert_eq!(Fr::from_str("20201").unwrap(), root_of_unity);
// Let's compute all the points in our evaluation domain.
let mut points = Vec::with_capacity(8);
for i in 0..8 {
points.push(root_of_unity.pow(&[i]));
}
// Let's compute t(tau) = (tau - p_0)(tau - p_1)...
// = tau^8 - 1
let mut t_at_tau = tau.pow(&[8]);
t_at_tau.sub_assign(&Fr::one());
{
let mut tmp = Fr::one();
for p in &points {
let mut term = tau;
term.sub_assign(p);
tmp.mul_assign(&term);
}
assert_eq!(tmp, t_at_tau);
}
// We expect our H query to be 7 elements of the form...
// {tau^i t(tau) / delta}
let delta_inverse = delta.inverse().unwrap();
let gamma_inverse = gamma.inverse().unwrap();
{
let mut coeff = delta_inverse;
coeff.mul_assign(&t_at_tau);
let mut cur = Fr::one();
for h in params.h.iter() {
let mut tmp = cur;
tmp.mul_assign(&coeff);
assert_eq!(*h, tmp);
cur.mul_assign(&tau);
}
}
// The density of the IC query is 2 (2 inputs)
assert_eq!(2, params.vk.ic.len());
// The density of the L query is 2 (2 aux variables)
assert_eq!(2, params.l.len());
// The density of the A query is 4 (each variable is in at least one A term)
assert_eq!(4, params.a.len());
// The density of the B query is 2 (two variables are in at least one B term)
assert_eq!(2, params.b_g1.len());
assert_eq!(2, params.b_g2.len());
/*
Lagrange interpolation polynomials in our evaluation domain:
,-------------------------------. ,-------------------------------. ,-------------------------------.
| A TERM | | B TERM | | C TERM |
`-------------------------------. `-------------------------------' `-------------------------------'
| a_0 | a_1 | a_2 | a_3 | | a_0 | a_1 | a_2 | a_3 | | a_0 | a_1 | a_2 | a_3 |
| 1 | 0 | 64512 | 0 | | 0 | 0 | 1 | 0 | | 0 | 0 | 0 | 0 |
| 1 | 0 | 0 | 64512 | | 0 | 0 | 0 | 1 | | 0 | 0 | 0 | 0 |
| 0 | 0 | 2 | 0 | | 0 | 0 | 0 | 1 | | 0 | 64512 | 1 | 1 |
| 1 | 0 | 0 | 0 | | 0 | 0 | 0 | 0 | | 0 | 0 | 0 | 0 |
| 0 | 1 | 0 | 0 | | 0 | 0 | 0 | 0 | | 0 | 0 | 0 | 0 |
`-------'-------'-------'-------' `-------'-------'-------'-------' `-------'-------'-------'-------'
Example for u_0:
sage: r = 64513
sage: Fr = GF(r)
sage: omega = (Fr(5)^63)^(2^7)
sage: tau = Fr(3673)
sage: R.<x> = PolynomialRing(Fr, 'x')
sage: def eval(tau, c0, c1, c2, c3, c4):
....: p = R.lagrange_polynomial([(omega^0, c0), (omega^1, c1), (omega^2, c2), (omega^3, c3), (omega^4, c4), (omega^5, 0), (omega^6, 0), (omega^7, 0)])
....: return p.substitute(tau)
sage: eval(tau, 1, 1, 0, 1, 0)
59158
*/
let u_i = [59158, 48317, 21767, 10402].iter().map(|e| {
Fr::from_str(&format!("{}", e)).unwrap()
}).collect::<Vec<Fr>>();
let v_i = [0, 0, 60619, 30791].iter().map(|e| {
Fr::from_str(&format!("{}", e)).unwrap()
}).collect::<Vec<Fr>>();
let w_i = [0, 23320, 41193, 41193].iter().map(|e| {
Fr::from_str(&format!("{}", e)).unwrap()
}).collect::<Vec<Fr>>();
for (u, a) in u_i.iter()
.zip(&params.a[..])
{
assert_eq!(u, a);
}
for (v, b) in v_i.iter()
.filter(|&&e| e != Fr::zero())
.zip(&params.b_g1[..])
{
assert_eq!(v, b);
}
for (v, b) in v_i.iter()
.filter(|&&e| e != Fr::zero())
.zip(&params.b_g2[..])
{
assert_eq!(v, b);
}
for i in 0..4 {
let mut tmp1 = beta;
tmp1.mul_assign(&u_i[i]);
let mut tmp2 = alpha;
tmp2.mul_assign(&v_i[i]);
tmp1.add_assign(&tmp2);
tmp1.add_assign(&w_i[i]);
if i < 2 {
// Check the correctness of the IC query elements
tmp1.mul_assign(&gamma_inverse);
assert_eq!(tmp1, params.vk.ic[i]);
} else {
// Check the correctness of the L query elements
tmp1.mul_assign(&delta_inverse);
assert_eq!(tmp1, params.l[i - 2]);
}
}
// Check consistency of the other elements
assert_eq!(alpha, params.vk.alpha_g1);
assert_eq!(beta, params.vk.beta_g1);
assert_eq!(beta, params.vk.beta_g2);
assert_eq!(gamma, params.vk.gamma_g2);
assert_eq!(delta, params.vk.delta_g1);
assert_eq!(delta, params.vk.delta_g2);
let pvk = prepare_verifying_key(&params.vk);
let r = Fr::from_str("27134").unwrap();
let s = Fr::from_str("17146").unwrap();
let proof = {
let c = XORDemo {
a: Some(true),
b: Some(false),
_marker: PhantomData
};
create_proof(
c,
&params,
r,
s
).unwrap()
};
// A(x) =
// a_0 * (44865*x^7 + 56449*x^6 + 44865*x^5 + 8064*x^4 + 3520*x^3 + 56449*x^2 + 3520*x + 40321) +
// a_1 * (8064*x^7 + 56449*x^6 + 8064*x^5 + 56449*x^4 + 8064*x^3 + 56449*x^2 + 8064*x + 56449) +
// a_2 * (16983*x^7 + 24192*x^6 + 63658*x^5 + 56449*x^4 + 16983*x^3 + 24192*x^2 + 63658*x + 56449) +
// a_3 * (5539*x^7 + 27797*x^6 + 6045*x^5 + 56449*x^4 + 58974*x^3 + 36716*x^2 + 58468*x + 8064) +
{
// proof A = alpha + A(tau) + delta * r
let mut expected_a = delta;
expected_a.mul_assign(&r);
expected_a.add_assign(&alpha);
expected_a.add_assign(&u_i[0]); // a_0 = 1
expected_a.add_assign(&u_i[1]); // a_1 = 1
expected_a.add_assign(&u_i[2]); // a_2 = 1
// a_3 = 0
assert_eq!(proof.a, expected_a);
}
// B(x) =
// a_0 * (0) +
// a_1 * (0) +
// a_2 * (56449*x^7 + 56449*x^6 + 56449*x^5 + 56449*x^4 + 56449*x^3 + 56449*x^2 + 56449*x + 56449) +
// a_3 * (31177*x^7 + 44780*x^6 + 21752*x^5 + 42255*x^3 + 35861*x^2 + 33842*x + 48385)
{
// proof B = beta + B(tau) + delta * s
let mut expected_b = delta;
expected_b.mul_assign(&s);
expected_b.add_assign(&beta);
expected_b.add_assign(&v_i[0]); // a_0 = 1
expected_b.add_assign(&v_i[1]); // a_1 = 1
expected_b.add_assign(&v_i[2]); // a_2 = 1
// a_3 = 0
assert_eq!(proof.b, expected_b);
}
// C(x) =
// a_0 * (0) +
// a_1 * (27797*x^7 + 56449*x^6 + 36716*x^5 + 8064*x^4 + 27797*x^3 + 56449*x^2 + 36716*x + 8064) +
// a_2 * (36716*x^7 + 8064*x^6 + 27797*x^5 + 56449*x^4 + 36716*x^3 + 8064*x^2 + 27797*x + 56449) +
// a_3 * (36716*x^7 + 8064*x^6 + 27797*x^5 + 56449*x^4 + 36716*x^3 + 8064*x^2 + 27797*x + 56449)
//
// If A * B = C at each point in the domain, then the following polynomial...
// P(x) = A(x) * B(x) - C(x)
// = 49752*x^14 + 13914*x^13 + 29243*x^12 + 27227*x^11 + 62362*x^10 + 35703*x^9 + 4032*x^8 + 14761*x^6 + 50599*x^5 + 35270*x^4 + 37286*x^3 + 2151*x^2 + 28810*x + 60481
//
// ... should be divisible by t(x), producing the quotient polynomial:
// h(x) = P(x) / t(x)
// = 49752*x^6 + 13914*x^5 + 29243*x^4 + 27227*x^3 + 62362*x^2 + 35703*x + 4032
{
let mut expected_c = Fr::zero();
// A * s
let mut tmp = proof.a;
tmp.mul_assign(&s);
expected_c.add_assign(&tmp);
// B * r
let mut tmp = proof.b;
tmp.mul_assign(&r);
expected_c.add_assign(&tmp);
// delta * r * s
let mut tmp = delta;
tmp.mul_assign(&r);
tmp.mul_assign(&s);
expected_c.sub_assign(&tmp);
// L query answer
// a_2 = 1, a_3 = 0
expected_c.add_assign(&params.l[0]);
// H query answer
for (i, coeff) in [5040, 11763, 10755, 63633, 128, 9747, 8739].iter().enumerate() {
let coeff = Fr::from_str(&format!("{}", coeff)).unwrap();
let mut tmp = params.h[i];
tmp.mul_assign(&coeff);
expected_c.add_assign(&tmp);
}
assert_eq!(expected_c, proof.c);
}
assert!(verify_proof(
&pvk,
&proof,
&[Fr::one()]
).unwrap());
}

66
bellman/src/groth16/verifier.rs
View File

@ -0,0 +1,66 @@
use pairing::{
Engine,
CurveProjective,
CurveAffine,
PrimeField
};
use super::{
Proof,
VerifyingKey,
PreparedVerifyingKey
};
use ::{
SynthesisError
};
pub fn prepare_verifying_key<E: Engine>(
vk: &VerifyingKey<E>
) -> PreparedVerifyingKey<E>
{
let mut gamma = vk.gamma_g2;
gamma.negate();
let mut delta = vk.delta_g2;
delta.negate();
PreparedVerifyingKey {
alpha_g1_beta_g2: E::pairing(vk.alpha_g1, vk.beta_g2),
neg_gamma_g2: gamma.prepare(),
neg_delta_g2: delta.prepare(),
ic: vk.ic.clone()
}
}
pub fn verify_proof<'a, E: Engine>(
pvk: &'a PreparedVerifyingKey<E>,
proof: &Proof<E>,
public_inputs: &[E::Fr]
) -> Result<bool, SynthesisError>
{
if (public_inputs.len() + 1) != pvk.ic.len() {
return Err(SynthesisError::MalformedVerifyingKey);
}
let mut acc = pvk.ic[0].into_projective();
for (i, b) in public_inputs.iter().zip(pvk.ic.iter().skip(1)) {
acc.add_assign(&b.mul(i.into_repr()));
}
// The original verification equation is:
// A * B = alpha * beta + inputs * gamma + C * delta
// ... however, we rearrange it so that it is:
// A * B - inputs * gamma - C * delta = alpha * beta
// or equivalently:
// A * B + inputs * (-gamma) + C * (-delta) = alpha * beta
// which allows us to do a single final exponentiation.
Ok(E::final_exponentiation(
&E::miller_loop([
(&proof.a.prepare(), &proof.b.prepare()),
(&acc.into_affine().prepare(), &pvk.neg_gamma_g2),
(&proof.c.prepare(), &pvk.neg_delta_g2)
].into_iter())
).unwrap() == pvk.alpha_g1_beta_g2)
}

424
bellman/src/lib.rs
View File

@ -0,0 +1,424 @@
extern crate pairing;
extern crate rand;
extern crate num_cpus;
extern crate futures;
extern crate futures_cpupool;
extern crate bit_vec;
extern crate crossbeam;
extern crate byteorder;
pub mod multicore;
mod multiexp;
pub mod domain;
pub mod groth16;
use pairing::{Engine, Field};
use std::ops::{Add, Sub};
use std::fmt;
use std::error::Error;
use std::io;
use std::marker::PhantomData;
/// Computations are expressed in terms of arithmetic circuits, in particular
/// rank-1 quadratic constraint systems. The `Circuit` trait represents a
/// circuit that can be synthesized. The `synthesize` method is called during
/// CRS generation and during proving.
pub trait Circuit<E: Engine> {
/// Synthesize the circuit into a rank-1 quadratic constraint system
fn synthesize<CS: ConstraintSystem<E>>(
self,
cs: &mut CS
) -> Result<(), SynthesisError>;
}
/// Represents a variable in our constraint system.
#[derive(Copy, Clone, Debug)]
pub struct Variable(Index);
impl Variable {
/// This constructs a variable with an arbitrary index.
/// Circuit implementations are not recommended to use this.
pub fn new_unchecked(idx: Index) -> Variable {
Variable(idx)
}
/// This returns the index underlying the variable.
/// Circuit implementations are not recommended to use this.
pub fn get_unchecked(&self) -> Index {
self.0
}
}
/// Represents the index of either an input variable or
/// auxillary variable.
#[derive(Copy, Clone, PartialEq, Debug)]
pub enum Index {
Input(usize),
Aux(usize)
}
/// This represents a linear combination of some variables, with coefficients
/// in the scalar field of a pairing-friendly elliptic curve group.
#[derive(Clone)]
pub struct LinearCombination<E: Engine>(Vec<(Variable, E::Fr)>);
impl<E: Engine> AsRef<[(Variable, E::Fr)]> for LinearCombination<E> {
fn as_ref(&self) -> &[(Variable, E::Fr)] {
&self.0
}
}
impl<E: Engine> LinearCombination<E> {
pub fn zero() -> LinearCombination<E> {
LinearCombination(vec![])
}
}
impl<E: Engine> Add<(E::Fr, Variable)> for LinearCombination<E> {
type Output = LinearCombination<E>;
fn add(mut self, (coeff, var): (E::Fr, Variable)) -> LinearCombination<E> {
self.0.push((var, coeff));
self
}
}
impl<E: Engine> Sub<(E::Fr, Variable)> for LinearCombination<E> {
type Output = LinearCombination<E>;
fn sub(self, (mut coeff, var): (E::Fr, Variable)) -> LinearCombination<E> {
coeff.negate();
self + (coeff, var)
}
}
impl<E: Engine> Add<Variable> for LinearCombination<E> {
type Output = LinearCombination<E>;
fn add(self, other: Variable) -> LinearCombination<E> {
self + (E::Fr::one(), other)
}
}
impl<E: Engine> Sub<Variable> for LinearCombination<E> {
type Output = LinearCombination<E>;
fn sub(self, other: Variable) -> LinearCombination<E> {
self - (E::Fr::one(), other)
}
}
impl<'a, E: Engine> Add<&'a LinearCombination<E>> for LinearCombination<E> {
type Output = LinearCombination<E>;
fn add(mut self, other: &'a LinearCombination<E>) -> LinearCombination<E> {
for s in &other.0 {
self = self + (s.1, s.0);
}
self
}
}
impl<'a, E: Engine> Sub<&'a LinearCombination<E>> for LinearCombination<E> {
type Output = LinearCombination<E>;
fn sub(mut self, other: &'a LinearCombination<E>) -> LinearCombination<E> {
for s in &other.0 {
self = self - (s.1, s.0);
}
self
}
}
impl<'a, E: Engine> Add<(E::Fr, &'a LinearCombination<E>)> for LinearCombination<E> {
type Output = LinearCombination<E>;
fn add(mut self, (coeff, other): (E::Fr, &'a LinearCombination<E>)) -> LinearCombination<E> {
for s in &other.0 {
let mut tmp = s.1;
tmp.mul_assign(&coeff);
self = self + (tmp, s.0);
}
self
}
}
impl<'a, E: Engine> Sub<(E::Fr, &'a LinearCombination<E>)> for LinearCombination<E> {
type Output = LinearCombination<E>;
fn sub(mut self, (coeff, other): (E::Fr, &'a LinearCombination<E>)) -> LinearCombination<E> {
for s in &other.0 {
let mut tmp = s.1;
tmp.mul_assign(&coeff);
self = self - (tmp, s.0);
}
self
}
}
/// This is an error that could occur during circuit synthesis contexts,
/// such as CRS generation, proving or verification.
#[derive(Debug)]
pub enum SynthesisError {
/// During synthesis, we lacked knowledge of a variable assignment.
AssignmentMissing,
/// During synthesis, we divided by zero.
DivisionByZero,
/// During synthesis, we constructed an unsatisfiable constraint system.
Unsatisfiable,
/// During synthesis, our polynomials ended up being too high of degree
PolynomialDegreeTooLarge,
/// During proof generation, we encountered an identity in the CRS
UnexpectedIdentity,
/// During proof generation, we encountered an I/O error with the CRS
IoError(io::Error),
/// During verification, our verifying key was malformed.
MalformedVerifyingKey,
/// During CRS generation, we observed an unconstrained auxillary variable
UnconstrainedVariable
}
impl From<io::Error> for SynthesisError {
fn from(e: io::Error) -> SynthesisError {
SynthesisError::IoError(e)
}
}
impl Error for SynthesisError {
fn description(&self) -> &str {
match *self {
SynthesisError::AssignmentMissing => "an assignment for a variable could not be computed",
SynthesisError::DivisionByZero => "division by zero",
SynthesisError::Unsatisfiable => "unsatisfiable constraint system",
SynthesisError::PolynomialDegreeTooLarge => "polynomial degree is too large",
SynthesisError::UnexpectedIdentity => "encountered an identity element in the CRS",
SynthesisError::IoError(_) => "encountered an I/O error",
SynthesisError::MalformedVerifyingKey => "malformed verifying key",
SynthesisError::UnconstrainedVariable => "auxillary variable was unconstrained"
}
}
}
impl fmt::Display for SynthesisError {
fn fmt(&self, f: &mut fmt::Formatter) -> Result<(), fmt::Error> {
if let &SynthesisError::IoError(ref e) = self {
write!(f, "I/O error: ")?;
e.fmt(f)
} else {
write!(f, "{}", self.description())
}
}
}
/// Represents a constraint system which can have new variables
/// allocated and constrains between them formed.
pub trait ConstraintSystem<E: Engine>: Sized {
/// Represents the type of the "root" of this constraint system
/// so that nested namespaces can minimize indirection.
type Root: ConstraintSystem<E>;
/// Return the "one" input variable
fn one() -> Variable {
Variable::new_unchecked(Index::Input(0))
}
/// Allocate a private variable in the constraint system. The provided function is used to
/// determine the assignment of the variable. The given `annotation` function is invoked
/// in testing contexts in order to derive a unique name for this variable in the current
/// namespace.
fn alloc<F, A, AR>(
&mut self,
annotation: A,
f: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>;
/// Allocate a public variable in the constraint system. The provided function is used to
/// determine the assignment of the variable.
fn alloc_input<F, A, AR>(
&mut self,
annotation: A,
f: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>;
/// Enforce that `A` * `B` = `C`. The `annotation` function is invoked in testing contexts
/// in order to derive a unique name for the constraint in the current namespace.
fn enforce<A, AR, LA, LB, LC>(
&mut self,
annotation: A,
a: LA,
b: LB,
c: LC
)
where A: FnOnce() -> AR, AR: Into<String>,
LA: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LB: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LC: FnOnce(LinearCombination<E>) -> LinearCombination<E>;
/// Create a new (sub)namespace and enter into it. Not intended
/// for downstream use; use `namespace` instead.
fn push_namespace<NR, N>(&mut self, name_fn: N)
where NR: Into<String>, N: FnOnce() -> NR;
/// Exit out of the existing namespace. Not intended for
/// downstream use; use `namespace` instead.
fn pop_namespace(&mut self);
/// Gets the "root" constraint system, bypassing the namespacing.
/// Not intended for downstream use; use `namespace` instead.
fn get_root(&mut self) -> &mut Self::Root;
/// Begin a namespace for this constraint system.
fn namespace<'a, NR, N>(
&'a mut self,
name_fn: N
) -> Namespace<'a, E, Self::Root>
where NR: Into<String>, N: FnOnce() -> NR
{
self.get_root().push_namespace(name_fn);
Namespace(self.get_root(), PhantomData)
}
}
/// This is a "namespaced" constraint system which borrows a constraint system (pushing
/// a namespace context) and, when dropped, pops out of the namespace context.
pub struct Namespace<'a, E: Engine, CS: ConstraintSystem<E> + 'a>(&'a mut CS, PhantomData<E>);
impl<'cs, E: Engine, CS: ConstraintSystem<E>> ConstraintSystem<E> for Namespace<'cs, E, CS> {
type Root = CS::Root;
fn one() -> Variable {
CS::one()
}
fn alloc<F, A, AR>(
&mut self,
annotation: A,
f: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>
{
self.0.alloc(annotation, f)
}
fn alloc_input<F, A, AR>(
&mut self,
annotation: A,
f: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>
{
self.0.alloc_input(annotation, f)
}
fn enforce<A, AR, LA, LB, LC>(
&mut self,
annotation: A,
a: LA,
b: LB,
c: LC
)
where A: FnOnce() -> AR, AR: Into<String>,
LA: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LB: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LC: FnOnce(LinearCombination<E>) -> LinearCombination<E>
{
self.0.enforce(annotation, a, b, c)
}
// Downstream users who use `namespace` will never interact with these
// functions and they will never be invoked because the namespace is
// never a root constraint system.
fn push_namespace<NR, N>(&mut self, _: N)
where NR: Into<String>, N: FnOnce() -> NR
{
panic!("only the root's push_namespace should be called");
}
fn pop_namespace(&mut self)
{
panic!("only the root's pop_namespace should be called");
}
fn get_root(&mut self) -> &mut Self::Root
{
self.0.get_root()
}
}
impl<'a, E: Engine, CS: ConstraintSystem<E>> Drop for Namespace<'a, E, CS> {
fn drop(&mut self) {
self.get_root().pop_namespace()
}
}
/// Convenience implementation of ConstraintSystem<E> for mutable references to
/// constraint systems.
impl<'cs, E: Engine, CS: ConstraintSystem<E>> ConstraintSystem<E> for &'cs mut CS {
type Root = CS::Root;
fn one() -> Variable {
CS::one()
}
fn alloc<F, A, AR>(
&mut self,
annotation: A,
f: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>
{
(**self).alloc(annotation, f)
}
fn alloc_input<F, A, AR>(
&mut self,
annotation: A,
f: F
) -> Result<Variable, SynthesisError>
where F: FnOnce() -> Result<E::Fr, SynthesisError>, A: FnOnce() -> AR, AR: Into<String>
{
(**self).alloc_input(annotation, f)
}
fn enforce<A, AR, LA, LB, LC>(
&mut self,
annotation: A,
a: LA,
b: LB,
c: LC
)
where A: FnOnce() -> AR, AR: Into<String>,
LA: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LB: FnOnce(LinearCombination<E>) -> LinearCombination<E>,
LC: FnOnce(LinearCombination<E>) -> LinearCombination<E>
{
(**self).enforce(annotation, a, b, c)
}
fn push_namespace<NR, N>(&mut self, name_fn: N)
where NR: Into<String>, N: FnOnce() -> NR
{
(**self).push_namespace(name_fn)
}
fn pop_namespace(&mut self)
{
(**self).pop_namespace()
}
fn get_root(&mut self) -> &mut Self::Root
{
(**self).get_root()
}
}

106
bellman/src/multicore.rs
View File

@ -0,0 +1,106 @@
//! This is an interface for dealing with the kinds of
//! parallel computations involved in bellman. It's
//! currently just a thin wrapper around CpuPool and
//! crossbeam but may be extended in the future to
//! allow for various parallelism strategies.
use num_cpus;
use futures::{Future, IntoFuture, Poll};
use futures_cpupool::{CpuPool, CpuFuture};
use crossbeam::{self, Scope};
#[derive(Clone)]
pub struct Worker {
cpus: usize,
pool: CpuPool
}
impl Worker {
// We don't expose this outside the library so that
// all `Worker` instances have the same number of
// CPUs configured.
pub(crate) fn new_with_cpus(cpus: usize) -> Worker {
Worker {
cpus: cpus,
pool: CpuPool::new(cpus)
}
}
pub fn new() -> Worker {
Self::new_with_cpus(num_cpus::get())
}
pub fn log_num_cpus(&self) -> u32 {
log2_floor(self.cpus)
}
pub fn compute<F, R>(
&self, f: F
) -> WorkerFuture<R::Item, R::Error>
where F: FnOnce() -> R + Send + 'static,
R: IntoFuture + 'static,
R::Future: Send + 'static,
R::Item: Send + 'static,
R::Error: Send + 'static
{
WorkerFuture {
future: self.pool.spawn_fn(f)
}
}
pub fn scope<'a, F, R>(
&self,
elements: usize,
f: F
) -> R
where F: FnOnce(&Scope<'a>, usize) -> R
{
let chunk_size = if elements < self.cpus {
1
} else {
elements / self.cpus
};
crossbeam::scope(|scope| {
f(scope, chunk_size)
})
}
}
pub struct WorkerFuture<T, E> {
future: CpuFuture<T, E>
}
impl<T: Send + 'static, E: Send + 'static> Future for WorkerFuture<T, E> {
type Item = T;
type Error = E;
fn poll(&mut self) -> Poll<Self::Item, Self::Error>
{
self.future.poll()
}
}
fn log2_floor(num: usize) -> u32 {
assert!(num > 0);
let mut pow = 0;
while (1 << (pow+1)) <= num {
pow += 1;
}
pow
}
#[test]
fn test_log2_floor() {
assert_eq!(log2_floor(1), 0);
assert_eq!(log2_floor(2), 1);
assert_eq!(log2_floor(3), 1);
assert_eq!(log2_floor(4), 2);
assert_eq!(log2_floor(5), 2);
assert_eq!(log2_floor(6), 2);
assert_eq!(log2_floor(7), 2);
assert_eq!(log2_floor(8), 3);
}

303
bellman/src/multiexp.rs
View File

@ -0,0 +1,303 @@
use pairing::{
CurveAffine,
CurveProjective,
Engine,
PrimeField,
Field,
PrimeFieldRepr
};
use std::sync::Arc;
use std::io;
use bit_vec::{self, BitVec};
use std::iter;
use futures::{Future};
use super::multicore::Worker;
use super::SynthesisError;
/// An object that builds a source of bases.
pub trait SourceBuilder<G: CurveAffine>: Send + Sync + 'static + Clone {
type Source: Source<G>;
fn new(self) -> Self::Source;
}
/// A source of bases, like an iterator.
pub trait Source<G: CurveAffine> {
/// Parses the element from the source. Fails if the point is at infinity.
fn add_assign_mixed(&mut self, to: &mut <G as CurveAffine>::Projective) -> Result<(), SynthesisError>;
/// Skips `amt` elements from the source, avoiding deserialization.
fn skip(&mut self, amt: usize) -> Result<(), SynthesisError>;
}
impl<G: CurveAffine> SourceBuilder<G> for (Arc<Vec<G>>, usize) {
type Source = (Arc<Vec<G>>, usize);
fn new(self) -> (Arc<Vec<G>>, usize) {
(self.0.clone(), self.1)
}
}
impl<G: CurveAffine> Source<G> for (Arc<Vec<G>>, usize) {
fn add_assign_mixed(&mut self, to: &mut <G as CurveAffine>::Projective) -> Result<(), SynthesisError> {
if self.0.len() <= self.1 {
return Err(io::Error::new(io::ErrorKind::UnexpectedEof, "expected more bases from source").into());
}
if self.0[self.1].is_zero() {
return Err(SynthesisError::UnexpectedIdentity)
}
to.add_assign_mixed(&self.0[self.1]);
self.1 += 1;
Ok(())
}
fn skip(&mut self, amt: usize) -> Result<(), SynthesisError> {
if self.0.len() <= self.1 {
return Err(io::Error::new(io::ErrorKind::UnexpectedEof, "expected more bases from source").into());
}
self.1 += amt;
Ok(())
}
}
pub trait QueryDensity {
/// Returns whether the base exists.
type Iter: Iterator<Item=bool>;
fn iter(self) -> Self::Iter;
fn get_query_size(self) -> Option<usize>;
}
#[derive(Clone)]
pub struct FullDensity;
impl AsRef<FullDensity> for FullDensity {
fn as_ref(&self) -> &FullDensity {
self
}
}
impl<'a> QueryDensity for &'a FullDensity {
type Iter = iter::Repeat<bool>;
fn iter(self) -> Self::Iter {
iter::repeat(true)
}
fn get_query_size(self) -> Option<usize> {
None
}
}
pub struct DensityTracker {
bv: BitVec,
total_density: usize
}
impl<'a> QueryDensity for &'a DensityTracker {
type Iter = bit_vec::Iter<'a>;
fn iter(self) -> Self::Iter {
self.bv.iter()
}
fn get_query_size(self) -> Option<usize> {
Some(self.bv.len())
}
}
impl DensityTracker {
pub fn new() -> DensityTracker {
DensityTracker {
bv: BitVec::new(),
total_density: 0
}
}
pub fn add_element(&mut self) {
self.bv.push(false);
}
pub fn inc(&mut self, idx: usize) {
if !self.bv.get(idx).unwrap() {
self.bv.set(idx, true);
self.total_density += 1;
}
}
pub fn get_total_density(&self) -> usize {
self.total_density
}
}
fn multiexp_inner<Q, D, G, S>(
pool: &Worker,
bases: S,
density_map: D,
exponents: Arc<Vec<<<G::Engine as Engine>::Fr as PrimeField>::Repr>>,
mut skip: u32,
c: u32,
handle_trivial: bool
) -> Box<Future<Item=<G as CurveAffine>::Projective, Error=SynthesisError>>
where for<'a> &'a Q: QueryDensity,
D: Send + Sync + 'static + Clone + AsRef<Q>,
G: CurveAffine,
S: SourceBuilder<G>
{
// Perform this region of the multiexp
let this = {
let bases = bases.clone();
let exponents = exponents.clone();
let density_map = density_map.clone();
pool.compute(move || {
// Accumulate the result
let mut acc = G::Projective::zero();
// Build a source for the bases
let mut bases = bases.new();
// Create space for the buckets
let mut buckets = vec![<G as CurveAffine>::Projective::zero(); (1 << c) - 1];
let zero = <G::Engine as Engine>::Fr::zero().into_repr();
let one = <G::Engine as Engine>::Fr::one().into_repr();
// Sort the bases into buckets
for (&exp, density) in exponents.iter().zip(density_map.as_ref().iter()) {
if density {
if exp == zero {
bases.skip(1)?;
} else if exp == one {
if handle_trivial {
bases.add_assign_mixed(&mut acc)?;
} else {
bases.skip(1)?;
}
} else {
let mut exp = exp;
exp.shr(skip);
let exp = exp.as_ref()[0] % (1 << c);
if exp != 0 {
bases.add_assign_mixed(&mut buckets[(exp - 1) as usize])?;
} else {
bases.skip(1)?;
}
}
}
}
// Summation by parts
// e.g. 3a + 2b + 1c = a +
// (a) + b +
// ((a) + b) + c
let mut running_sum = G::Projective::zero();
for exp in buckets.into_iter().rev() {
running_sum.add_assign(&exp);
acc.add_assign(&running_sum);
}
Ok(acc)
})
};
skip += c;
if skip >= <G::Engine as Engine>::Fr::NUM_BITS {
// There isn't another region.
Box::new(this)
} else {
// There's another region more significant. Calculate and join it with
// this region recursively.
Box::new(
this.join(multiexp_inner(pool, bases, density_map, exponents, skip, c, false))
.map(move |(this, mut higher)| {
for _ in 0..c {
higher.double();
}
higher.add_assign(&this);
higher
})
)
}
}
/// Perform multi-exponentiation. The caller is responsible for ensuring the
/// query size is the same as the number of exponents.
pub fn multiexp<Q, D, G, S>(
pool: &Worker,
bases: S,
density_map: D,
exponents: Arc<Vec<<<G::Engine as Engine>::Fr as PrimeField>::Repr>>
) -> Box<Future<Item=<G as CurveAffine>::Projective, Error=SynthesisError>>
where for<'a> &'a Q: QueryDensity,
D: Send + Sync + 'static + Clone + AsRef<Q>,
G: CurveAffine,
S: SourceBuilder<G>
{
let c = if exponents.len() < 32 {
3u32
} else {
(f64::from(exponents.len() as u32)).ln().ceil() as u32
};
if let Some(query_size) = density_map.as_ref().get_query_size() {
// If the density map has a known query size, it should not be
// inconsistent with the number of exponents.
assert!(query_size == exponents.len());
}
multiexp_inner(pool, bases, density_map, exponents, 0, c, true)
}
#[test]
fn test_with_bls12() {
fn naive_multiexp<G: CurveAffine>(
bases: Arc<Vec<G>>,
exponents: Arc<Vec<<G::Scalar as PrimeField>::Repr>>
) -> G::Projective
{
assert_eq!(bases.len(), exponents.len());
let mut acc = G::Projective::zero();
for (base, exp) in bases.iter().zip(exponents.iter()) {
acc.add_assign(&base.mul(*exp));
}
acc
}
use rand::{self, Rand};
use pairing::bls12_381::Bls12;
const SAMPLES: usize = 1 << 14;
let rng = &mut rand::thread_rng();
let v = Arc::new((0..SAMPLES).map(|_| <Bls12 as Engine>::Fr::rand(rng).into_repr()).collect::<Vec<_>>());
let g = Arc::new((0..SAMPLES).map(|_| <Bls12 as Engine>::G1::rand(rng).into_affine()).collect::<Vec<_>>());
let naive = naive_multiexp(g.clone(), v.clone());
let pool = Worker::new();
let fast = multiexp(
&pool,
(g, 0),
FullDensity,
v
).wait().unwrap();
assert_eq!(naive, fast);
}

251
bellman/tests/mimc.rs
View File

@ -0,0 +1,251 @@
extern crate bellman;
extern crate pairing;
extern crate rand;
// For randomness (during paramgen and proof generation)
use rand::{thread_rng, Rng};
// For benchmarking
use std::time::{Duration, Instant};
// Bring in some tools for using pairing-friendly curves
use pairing::{
Engine,
Field
};
// We're going to use the BLS12-381 pairing-friendly elliptic curve.
use pairing::bls12_381::{
Bls12
};
// We'll use these interfaces to construct our circuit.
use bellman::{
Circuit,
ConstraintSystem,
SynthesisError
};
// We're going to use the Groth16 proving system.
use bellman::groth16::{
Proof,
generate_random_parameters,
prepare_verifying_key,
create_random_proof,
verify_proof,
};
const MIMC_ROUNDS: usize = 322;
/// This is an implementation of MiMC, specifically a
/// variant named `LongsightF322p3` for BLS12-381.
/// See http://eprint.iacr.org/2016/492 for more
/// information about this construction.
///
/// ```
/// function LongsightF322p3(xL ⦂ Fp, xR ⦂ Fp) {
/// for i from 0 up to 321 {
/// xL, xR := xR + (xL + Ci)^3, xL
/// }
/// return xL
/// }
/// ```
fn mimc<E: Engine>(
mut xl: E::Fr,
mut xr: E::Fr,
constants: &[E::Fr]
) -> E::Fr
{
assert_eq!(constants.len(), MIMC_ROUNDS);
for i in 0..MIMC_ROUNDS {
let mut tmp1 = xl;
tmp1.add_assign(&constants[i]);
let mut tmp2 = tmp1;
tmp2.square();
tmp2.mul_assign(&tmp1);
tmp2.add_assign(&xr);
xr = xl;
xl = tmp2;
}
xl
}
/// This is our demo circuit for proving knowledge of the
/// preimage of a MiMC hash invocation.
struct MiMCDemo<'a, E: Engine> {
xl: Option<E::Fr>,
xr: Option<E::Fr>,
constants: &'a [E::Fr]
}
/// Our demo circuit implements this `Circuit` trait which
/// is used during paramgen and proving in order to
/// synthesize the constraint system.
impl<'a, E: Engine> Circuit<E> for MiMCDemo<'a, E> {
fn synthesize<CS: ConstraintSystem<E>>(
self,
cs: &mut CS
) -> Result<(), SynthesisError>
{
assert_eq!(self.constants.len(), MIMC_ROUNDS);
// Allocate the first component of the preimage.
let mut xl_value = self.xl;
let mut xl = cs.alloc(|| "preimage xl", || {
xl_value.ok_or(SynthesisError::AssignmentMissing)
})?;
// Allocate the second component of the preimage.
let mut xr_value = self.xr;
let mut xr = cs.alloc(|| "preimage xr", || {
xr_value.ok_or(SynthesisError::AssignmentMissing)
})?;
for i in 0..MIMC_ROUNDS {
// xL, xR := xR + (xL + Ci)^3, xL
let cs = &mut cs.namespace(|| format!("round {}", i));
// tmp = (xL + Ci)^2
let mut tmp_value = xl_value.map(|mut e| {
e.add_assign(&self.constants[i]);
e.square();
e
});
let mut tmp = cs.alloc(|| "tmp", || {
tmp_value.ok_or(SynthesisError::AssignmentMissing)
})?;
cs.enforce(
|| "tmp = (xL + Ci)^2",
|lc| lc + xl + (self.constants[i], CS::one()),
|lc| lc + xl + (self.constants[i], CS::one()),
|lc| lc + tmp
);
// new_xL = xR + (xL + Ci)^3
// new_xL = xR + tmp * (xL + Ci)
// new_xL - xR = tmp * (xL + Ci)
let mut new_xl_value = xl_value.map(|mut e| {
e.add_assign(&self.constants[i]);
e.mul_assign(&tmp_value.unwrap());
e.add_assign(&xr_value.unwrap());
e
});
let mut new_xl = if i == (MIMC_ROUNDS-1) {
// This is the last round, xL is our image and so
// we allocate a public input.
cs.alloc_input(|| "image", || {
new_xl_value.ok_or(SynthesisError::AssignmentMissing)
})?
} else {
cs.alloc(|| "new_xl", || {
new_xl_value.ok_or(SynthesisError::AssignmentMissing)
})?
};
cs.enforce(
|| "new_xL = xR + (xL + Ci)^3",
|lc| lc + tmp,
|lc| lc + xl + (self.constants[i], CS::one()),
|lc| lc + new_xl - xr
);
// xR = xL
xr = xl;
xr_value = xl_value;
// xL = new_xL
xl = new_xl;
xl_value = new_xl_value;
}
Ok(())
}
}
#[test]
fn test_mimc() {
// This may not be cryptographically safe, use
// `OsRng` (for example) in production software.
let rng = &mut thread_rng();
// Generate the MiMC round constants
let constants = (0..MIMC_ROUNDS).map(|_| rng.gen()).collect::<Vec<_>>();
println!("Creating parameters...");
// Create parameters for our circuit
let params = {
let c = MiMCDemo::<Bls12> {
xl: None,
xr: None,
constants: &constants
};
generate_random_parameters(c, rng).unwrap()
};
// Prepare the verification key (for proof verification)
let pvk = prepare_verifying_key(&params.vk);
println!("Creating proofs...");
// Let's benchmark stuff!
const SAMPLES: u32 = 50;
let mut total_proving = Duration::new(0, 0);
let mut total_verifying = Duration::new(0, 0);
// Just a place to put the proof data, so we can
// benchmark deserialization.
let mut proof_vec = vec![];
for _ in 0..SAMPLES {
// Generate a random preimage and compute the image
let xl = rng.gen();
let xr = rng.gen();
let image = mimc::<Bls12>(xl, xr, &constants);
proof_vec.truncate(0);
let start = Instant::now();
{
// Create an instance of our circuit (with the
// witness)
let c = MiMCDemo {
xl: Some(xl),
xr: Some(xr),
constants: &constants
};
// Create a groth16 proof with our parameters.
let proof = create_random_proof(c, &params, rng).unwrap();
proof.write(&mut proof_vec).unwrap();
}
total_proving += start.elapsed();
let start = Instant::now();
let proof = Proof::read(&proof_vec[..]).unwrap();
// Check the proof
assert!(verify_proof(
&pvk,
&proof,
&[image]
).unwrap());
total_verifying += start.elapsed();
}
let proving_avg = total_proving / SAMPLES;
let proving_avg = proving_avg.subsec_nanos() as f64 / 1_000_000_000f64
+ (proving_avg.as_secs() as f64);
let verifying_avg = total_verifying / SAMPLES;
let verifying_avg = verifying_avg.subsec_nanos() as f64 / 1_000_000_000f64
+ (verifying_avg.as_secs() as f64);
println!("Average proving time: {:?} seconds", proving_avg);
println!("Average verifying time: {:?} seconds", verifying_avg);
}
Write Preview
Loading…
Cancel
Save