ark-r1cs-std/crypto-primitives/src/commitment/pedersen/constraints.rs
crypto-primitives/src/commitment/pedersen/constraints.rsRaw
1use crate::{
2 commitment::pedersen::{Commitment, Parameters, Randomness},
3 crh::pedersen::Window,
4 Vec,
5};
6use algebra_core::{
7 fields::{Field, PrimeField},
8 to_bytes, ProjectiveCurve, ToBytes, Zero,
9};
10use r1cs_core::{Namespace, SynthesisError};
11
12use core::{borrow::Borrow, marker::PhantomData};
13use r1cs_std::prelude::*;
14
15type ConstraintF<C> = <<C as ProjectiveCurve>::BaseField as Field>::BasePrimeField;
16
17#[derive(Derivative)]
18#[derivative(Clone(bound = "C: ProjectiveCurve, GG: CurveVar<C, ConstraintF<C>>"))]
19pub struct ParametersVar<C: ProjectiveCurve, GG: CurveVar<C, ConstraintF<C>>>
20where
21 for<'a> &'a GG: GroupOpsBounds<'a, C, GG>,
22{
23 params: Parameters<C>,
24 #[doc(hidden)]
25 _group_var: PhantomData<GG>,
26}
27
28#[derive(Clone, Debug)]
29pub struct RandomnessVar<F: Field>(Vec<UInt8<F>>);
30
31pub struct CommGadget<C: ProjectiveCurve, GG: CurveVar<C, ConstraintF<C>>, W: Window>
32where
33 for<'a> &'a GG: GroupOpsBounds<'a, C, GG>,
34{
35 #[doc(hidden)]
36 _curve: PhantomData<*const C>,
37 #[doc(hidden)]
38 _group_var: PhantomData<*const GG>,
39 #[doc(hidden)]
40 _window: PhantomData<*const W>,
41}
42
43impl<C, GG, W> crate::commitment::CommitmentGadget<Commitment<C, W>, ConstraintF<C>>
44 for CommGadget<C, GG, W>
45where
46 C: ProjectiveCurve,
47 GG: CurveVar<C, ConstraintF<C>>,
48 W: Window,
49 for<'a> &'a GG: GroupOpsBounds<'a, C, GG>,
50 ConstraintF<C>: PrimeField,
51{
52 type OutputVar = GG;
53 type ParametersVar = ParametersVar<C, GG>;
54 type RandomnessVar = RandomnessVar<ConstraintF<C>>;
55
56 fn commit(
57 parameters: &Self::ParametersVar,
58 input: &[UInt8<ConstraintF<C>>],
59 r: &Self::RandomnessVar,
60 ) -> Result<Self::OutputVar, SynthesisError> {
61 assert!((input.len() * 8) <= (W::WINDOW_SIZE * W::NUM_WINDOWS));
62
63 let mut padded_input = input.to_vec();
64 // Pad if input length is less than `W::WINDOW_SIZE * W::NUM_WINDOWS`.
65 if (input.len() * 8) < W::WINDOW_SIZE * W::NUM_WINDOWS {
66 let current_length = input.len();
67 for _ in current_length..((W::WINDOW_SIZE * W::NUM_WINDOWS) / 8) {
68 padded_input.push(UInt8::constant(0u8));
69 }
70 }
71
72 assert_eq!(padded_input.len() * 8, W::WINDOW_SIZE * W::NUM_WINDOWS);
73 assert_eq!(parameters.params.generators.len(), W::NUM_WINDOWS);
74
75 // Allocate new variable for commitment output.
76 let input_in_bits: Vec<_> = padded_input
77 .iter()
78 .flat_map(|byte| byte.into_bits_le())
79 .collect();
80 let input_in_bits = input_in_bits.chunks(W::WINDOW_SIZE);
81 let mut result =
82 GG::precomputed_base_multiscalar_mul(¶meters.params.generators, input_in_bits)?;
83
84 // Compute h^r
85 let rand_bits: Vec<_> = r.0.iter().flat_map(|byte| byte.into_bits_le()).collect();
86 result.precomputed_base_scalar_mul(
87 rand_bits
88 .iter()
89 .zip(¶meters.params.randomness_generator),
90 )?;
91
92 Ok(result)
93 }
94}
95
96impl<C, GG> AllocVar<Parameters<C>, ConstraintF<C>> for ParametersVar<C, GG>
97where
98 C: ProjectiveCurve,
99 GG: CurveVar<C, ConstraintF<C>>,
100 for<'a> &'a GG: GroupOpsBounds<'a, C, GG>,
101{
102 fn new_variable<T: Borrow<Parameters<C>>>(
103 _cs: impl Into<Namespace<ConstraintF<C>>>,
104 f: impl FnOnce() -> Result<T, SynthesisError>,
105 _mode: AllocationMode,
106 ) -> Result<Self, SynthesisError> {
107 let params = f()?.borrow().clone();
108 Ok(ParametersVar {
109 params,
110 _group_var: PhantomData,
111 })
112 }
113}
114
115impl<C, F> AllocVar<Randomness<C>, F> for RandomnessVar<F>
116where
117 C: ProjectiveCurve,
118 F: PrimeField,
119{
120 fn new_variable<T: Borrow<Randomness<C>>>(
121 cs: impl Into<Namespace<F>>,
122 f: impl FnOnce() -> Result<T, SynthesisError>,
123 mode: AllocationMode,
124 ) -> Result<Self, SynthesisError> {
125 let r = to_bytes![&f().map(|b| b.borrow().0).unwrap_or(C::ScalarField::zero())].unwrap();
126 match mode {
127 AllocationMode::Constant => Ok(Self(UInt8::constant_vec(&r))),
128 AllocationMode::Input => UInt8::new_input_vec(cs, &r).map(Self),
129 AllocationMode::Witness => UInt8::new_witness_vec(cs, &r).map(Self),
130 }
131 }
132}
133
134#[cfg(test)]
135mod test {
136 use algebra::{
137 ed_on_bls12_381::{EdwardsProjective as JubJub, Fq, Fr},
138 test_rng, UniformRand,
139 };
140
141 use crate::{
142 commitment::{
143 pedersen::{constraints::CommGadget, Commitment, Randomness},
144 CommitmentGadget, CommitmentScheme,
145 },
146 crh::pedersen,
147 };
148 use r1cs_core::ConstraintSystem;
149 use r1cs_std::{ed_on_bls12_381::EdwardsVar, prelude::*};
150
151 #[test]
152 fn commitment_gadget_test() {
153 let cs = ConstraintSystem::<Fq>::new_ref();
154
155 #[derive(Clone, PartialEq, Eq, Hash)]
156 pub(super) struct Window;
157
158 impl pedersen::Window for Window {
159 const WINDOW_SIZE: usize = 4;
160 const NUM_WINDOWS: usize = 8;
161 }
162
163 let input = [1u8; 4];
164
165 let rng = &mut test_rng();
166
167 type TestCOMM = Commitment<JubJub, Window>;
168 type TestCOMMGadget = CommGadget<JubJub, EdwardsVar, Window>;
169
170 let randomness = Randomness(Fr::rand(rng));
171
172 let parameters = Commitment::<JubJub, Window>::setup(rng).unwrap();
173 let primitive_result =
174 Commitment::<JubJub, Window>::commit(¶meters, &input, &randomness).unwrap();
175
176 let mut input_var = vec![];
177 for input_byte in input.iter() {
178 input_var.push(UInt8::new_witness(cs.clone(), || Ok(*input_byte)).unwrap());
179 }
180
181 let randomness_var =
182 <TestCOMMGadget as CommitmentGadget<TestCOMM, Fq>>::RandomnessVar::new_witness(
183 cs.ns("gadget_randomness"),
184 || Ok(&randomness),
185 )
186 .unwrap();
187 let parameters_var =
188 <TestCOMMGadget as CommitmentGadget<TestCOMM, Fq>>::ParametersVar::new_witness(
189 cs.ns("gadget_parameters"),
190 || Ok(¶meters),
191 )
192 .unwrap();
193 let result_var =
194 TestCOMMGadget::commit(¶meters_var, &input_var, &randomness_var).unwrap();
195
196 let primitive_result = primitive_result;
197 assert_eq!(primitive_result, result_var.value().unwrap());
198 assert!(cs.is_satisfied().unwrap());
199 }
200}