Crates.io | parity-plonk |
lib.rs | parity-plonk |
version | 0.2.0 |
source | src |
created_at | 2021-11-28 01:58:04.341551 |
updated_at | 2021-12-12 10:55:14.257524 |
description | A pure-Rust implementation of the PLONK ZK-Proof algorithm |
homepage | |
repository | https://github.com/dusk-network/plonk |
max_upload_size | |
id | 488655 |
size | 668,090 |
This is a pure Rust implementation of the PLONK proving system over BLS12-381
This library contains a modularised implementation of KZG10 as the default polynomial commitment scheme.
use parity_plonk::prelude::*;
use rand::SeedableRng;
use rand_xorshift::XorShiftRng;
use rand_core::RngCore;
// Implement a circuit that checks:
// 1) a + b = c where C is a PI
// 2) a <= 2^6
// 3) b <= 2^5
// 4) a * b = d where D is a PI
// 5) JubJub::GENERATOR * e(JubJubScalar) = f where F is a Public Input
#[derive(Debug, Default)]
pub struct TestCircuit {
a: BlsScalar,
b: BlsScalar,
c: BlsScalar,
d: BlsScalar,
e: JubJubScalar,
f: JubJubAffine,
}
impl Circuit for TestCircuit {
const CIRCUIT_ID: [u8; 32] = [0xff; 32];
fn gadget(
&mut self,
composer: &mut TurboComposer,
) -> Result<(), Error> {
let a = composer.append_witness(self.a);
let b = composer.append_witness(self.b);
// Make first constraint a + b = c
let constraint = Constraint::new()
.left(1)
.right(1)
.public(-self.c)
.a(a)
.b(b);
composer.append_gate(constraint);
// Check that a and b are in range
composer.component_range(a, 1 << 6);
composer.component_range(b, 1 << 5);
// Make second constraint a * b = d
let constraint = Constraint::new()
.mult(1)
.output(1)
.public(-self.d)
.a(a)
.b(b);
composer.append_gate(constraint);
let e = composer.append_witness(self.e);
let scalar_mul_result = composer
.component_mul_generator(e, dusk_jubjub::GENERATOR_EXTENDED);
// Apply the constrain
composer.assert_equal_public_point(scalar_mul_result, self.f);
Ok(())
}
fn public_inputs(&self) -> Vec<PublicInputValue> {
vec![self.c.into(), self.d.into(), self.f.into()]
}
fn padded_gates(&self) -> usize {
1 << 11
}
}
// Now let's use the Circuit we've just implemented!
let rng = XorShiftRng::from_seed([
0x59, 0x62, 0xbe, 0x5d, 0x76, 0x3d, 0x31, 0x8d, 0x17, 0xdb, 0x37,
0x32, 0x54, 0x06, 0xbc, 0xe5,
]);
let pp = PublicParameters::setup(1 << 12, rng).unwrap();
// Initialize the circuit
let mut circuit = TestCircuit::default();
// Compile the circuit
let (pk, vd) = circuit.compile(&pp).unwrap();
// Prover POV
let proof = {
let mut circuit = TestCircuit {
a: BlsScalar::from(20u64),
b: BlsScalar::from(5u64),
c: BlsScalar::from(25u64),
d: BlsScalar::from(100u64),
e: JubJubScalar::from(2u64),
f: JubJubAffine::from(
dusk_jubjub::GENERATOR_EXTENDED * JubJubScalar::from(2u64),
),
};
circuit.prove(&pp, &pk, b"Test").unwrap()
};
// Verifier POV
let public_inputs: Vec<PublicInputValue> = vec![
BlsScalar::from(25u64).into(),
BlsScalar::from(100u64).into(),
JubJubAffine::from(
dusk_jubjub::GENERATOR_EXTENDED * JubJubScalar::from(2u64),
)
.into(),
];
TestCircuit::verify(
&pp,
&vd,
&proof,
&public_inputs,
b"Test",
).unwrap();
This crate includes a variety of features which will briefly be explained below:
alloc
: Enables the usage of an allocator and with it the capability of performing Proof
constructions and
verifications. Without this feature it IS NOT possible to prove or verify anything.
Its absence only makes dusk-plonk
export certain fixed-size data structures such as Proof
which can be useful in no_std envoirments where we don't have allocators either.
std
: Enables std
usage as well as rayon
parallelisation in some proving and verifying ops.
It also uses the std
versions of the elliptic curve deps, which utilises the parallel
feature
from dusk-bls12-381
. By default, this is the feature that comes enabled with the crate.
trace
: Enables the Circuit debugger tooling. This is essentially the capability of using the
StandardComposer::check_circuit_satisfied
function. The function will output information about each circuit gate until
one of the gates does not satisfy the equation, or there are no more gates. If there is an unsatisfied gate
equation, the function will panic and return the gate number.
trace-print
: Goes a step further than trace
and prints each gate
component data, giving a clear overview of all the
values which make up the circuit that we're constructing.
The recommended method is to derive the std output, and the std error, and then place them in text file
which can be used to efficiently analyse the gates.
canon
: Enables canonical
serialisation for particular data structures, which is very useful in integrating
this library within the rest of the Dusk stack - especially for storage purposes.
There are two main types of documentation in this repository:
Crate documentation. This provides info about all of the functions that the library provides, as well
as the documentation regarding the data structures that it exports. To check this, please feel free to go to
the documentation page or run make doc
or make doc-internal
.
Notes. This is a specific subset of documentation which explains the key mathematical concepts
of PLONK and how they work with mathematical demonstrations. To check it, run make doc
and open the resulting docs,
which will be located under /target
with your browser.
Benchmarks taken on Intel(R) Core(TM) i9-9900X CPU @ 3.50GHz
For a circuit-size of 2^16
constraints/gates:
5.46s
9.34ms
. (This time will not vary depending on the circuit-size.)For more results, please run cargo bench
to get a full report of benchmarks in respect of constraint numbers.
This code is licensed under Mozilla Public License Version 2.0 (MPL-2.0). Please see LICENSE for further info.
Implementation designed by the dusk team.