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sonobe/folding-schemes/src/folding/hypernova/decider_eth_circuit.rs
folding-schemes/src/folding/hypernova/decider_eth_circuit.rsRaw
  1/// This file implements the onchain (Ethereum's EVM) decider circuit. For non-ethereum use cases,
  2/// other more efficient approaches can be used.
  3use ark_crypto_primitives::sponge::{
  4    constraints::CryptographicSpongeVar,
  5    poseidon::{constraints::PoseidonSpongeVar, PoseidonConfig, PoseidonSponge},
  6    Absorb, CryptographicSponge,
  7};
  8use ark_ec::{CurveGroup, Group};
  9use ark_ff::PrimeField;
 10use ark_poly::Polynomial;
 11use ark_r1cs_std::{
 12    alloc::{AllocVar, AllocationMode},
 13    boolean::Boolean,
 14    eq::EqGadget,
 15    fields::fp::FpVar,
 16    groups::GroupOpsBounds,
 17    prelude::CurveVar,
 18    ToConstraintFieldGadget,
 19};
 20use ark_relations::r1cs::{ConstraintSynthesizer, ConstraintSystemRef, Namespace, SynthesisError};
 21use ark_std::Zero;
 22use core::{borrow::Borrow, marker::PhantomData};
 23
 24use super::{
 25    circuits::{CCCSVar, LCCCSVar, NIMFSGadget, ProofVar as NIMFSProofVar},
 26    nimfs::{NIMFSProof, NIMFS},
 27    HyperNova, Witness, CCCS, LCCCS,
 28};
 29use crate::arith::ccs::CCS;
 30use crate::arith::r1cs::R1CS;
 31use crate::commitment::{pedersen::Params as PedersenParams, CommitmentScheme};
 32use crate::folding::circuits::{
 33    cyclefold::{CycleFoldCommittedInstance, CycleFoldWitness},
 34    CF1, CF2,
 35};
 36use crate::frontend::FCircuit;
 37use crate::transcript::{Transcript, TranscriptVar};
 38use crate::utils::{
 39    gadgets::{eval_mle, MatrixGadget, SparseMatrixVar},
 40    vec::poly_from_vec,
 41};
 42use crate::Error;
 43
 44/// In-circuit representation of the Witness associated to the CommittedInstance.
 45#[derive(Debug, Clone)]
 46pub struct WitnessVar<F: PrimeField> {
 47    pub w: Vec<FpVar<F>>,
 48    pub r_w: FpVar<F>,
 49}
 50
 51impl<F: PrimeField> AllocVar<Witness<F>, F> for WitnessVar<F> {
 52    fn new_variable<T: Borrow<Witness<F>>>(
 53        cs: impl Into<Namespace<F>>,
 54        f: impl FnOnce() -> Result<T, SynthesisError>,
 55        mode: AllocationMode,
 56    ) -> Result<Self, SynthesisError> {
 57        f().and_then(|val| {
 58            let cs = cs.into();
 59
 60            let w: Vec<FpVar<F>> =
 61                Vec::new_variable(cs.clone(), || Ok(val.borrow().w.clone()), mode)?;
 62            let r_w = FpVar::<F>::new_variable(cs.clone(), || Ok(val.borrow().r_w), mode)?;
 63
 64            Ok(Self { w, r_w })
 65        })
 66    }
 67}
 68
 69/// CCSMatricesVar contains the matrices 'M' of the CCS without the rest of CCS parameters.
 70#[derive(Debug, Clone)]
 71pub struct CCSMatricesVar<F: PrimeField> {
 72    // we only need native representation, so the constraint field==F
 73    pub M: Vec<SparseMatrixVar<F, F, FpVar<F>>>,
 74}
 75
 76impl<F> AllocVar<CCS<F>, F> for CCSMatricesVar<F>
 77where
 78    F: PrimeField,
 79{
 80    fn new_variable<T: Borrow<CCS<F>>>(
 81        cs: impl Into<Namespace<F>>,
 82        f: impl FnOnce() -> Result<T, SynthesisError>,
 83        _mode: AllocationMode,
 84    ) -> Result<Self, SynthesisError> {
 85        f().and_then(|val| {
 86            let cs = cs.into();
 87
 88            let M: Vec<SparseMatrixVar<F, F, FpVar<F>>> = val
 89                .borrow()
 90                .M
 91                .iter()
 92                .map(|M| SparseMatrixVar::<F, F, FpVar<F>>::new_constant(cs.clone(), M.clone()))
 93                .collect::<Result<_, SynthesisError>>()?;
 94
 95            Ok(Self { M })
 96        })
 97    }
 98}
 99
100/// Gadget to check the LCCCS relation both over the native constraint field and over the
101/// non-native constraint field.
102#[derive(Debug, Clone)]
103pub struct LCCCSCheckerGadget {}
104impl LCCCSCheckerGadget {
105    /// performs in-circuit the RelaxedR1CS check for native variables (Az∘Bz==uCz+E)
106    pub fn check<F: PrimeField>(
107        s: usize,
108        ccs_mat: CCSMatricesVar<F>,
109        z: Vec<FpVar<F>>,
110        // LCCCS values
111        r_x: Vec<FpVar<F>>,
112        v: Vec<FpVar<F>>,
113    ) -> Result<(), SynthesisError> {
114        let computed_v: Vec<FpVar<F>> = ccs_mat
115            .M
116            .iter()
117            .map(|M_j| {
118                let Mz = M_j.mul_vector(&z)?;
119                Ok(eval_mle(s, Mz, r_x.clone()))
120            })
121            .collect::<Result<Vec<FpVar<F>>, SynthesisError>>()?;
122
123        (computed_v).enforce_equal(&v)?;
124        Ok(())
125    }
126}
127
128/// Circuit that implements the in-circuit checks needed for the HyperNova's onchain (Ethereum's
129/// EVM) verification.
130#[derive(Clone, Debug)]
131pub struct DeciderEthCircuit<C1, GC1, C2, GC2, CS1, CS2, const H: bool = false>
132where
133    C1: CurveGroup,
134    GC1: CurveVar<C1, CF2<C1>>,
135    C2: CurveGroup,
136    GC2: CurveVar<C2, CF2<C2>>,
137    CS1: CommitmentScheme<C1, H>,
138    CS2: CommitmentScheme<C2, H>,
139{
140    _c1: PhantomData<C1>,
141    _gc1: PhantomData<GC1>,
142    _c2: PhantomData<C2>,
143    _gc2: PhantomData<GC2>,
144    _cs1: PhantomData<CS1>,
145    _cs2: PhantomData<CS2>,
146
147    /// E vector's length of the CycleFold instance witness
148    pub cf_E_len: usize,
149    /// CCS of the Augmented Function circuit
150    pub ccs: CCS<C1::ScalarField>,
151    /// R1CS of the CycleFold circuit
152    pub cf_r1cs: R1CS<C2::ScalarField>,
153    /// CycleFold PedersenParams over C2
154    pub cf_pedersen_params: PedersenParams<C2>,
155    pub poseidon_config: PoseidonConfig<CF1<C1>>,
156    /// public params hash
157    pub pp_hash: Option<C1::ScalarField>,
158    pub i: Option<CF1<C1>>,
159    /// initial state
160    pub z_0: Option<Vec<C1::ScalarField>>,
161    /// current i-th state
162    pub z_i: Option<Vec<C1::ScalarField>>,
163    /// Nova instances
164    pub U_i: Option<LCCCS<C1>>,
165    pub W_i: Option<Witness<C1::ScalarField>>,
166    pub u_i: Option<CCCS<C1>>,
167    pub w_i: Option<Witness<C1::ScalarField>>,
168    pub U_i1: Option<LCCCS<C1>>,
169    pub W_i1: Option<Witness<C1::ScalarField>>,
170    pub nimfs_proof: Option<NIMFSProof<C1>>,
171    // rho is the 'random' value used for the fold of the last 2 instances
172    pub rho: Option<C1::ScalarField>,
173    /// CycleFold running instance
174    pub cf_U_i: Option<CycleFoldCommittedInstance<C2>>,
175    pub cf_W_i: Option<CycleFoldWitness<C2>>,
176
177    /// KZG challenge & eval
178    pub kzg_challenge: Option<C1::ScalarField>,
179    pub eval_W: Option<C1::ScalarField>,
180}
181
182impl<C1, GC1, C2, GC2, CS1, CS2, const H: bool> DeciderEthCircuit<C1, GC1, C2, GC2, CS1, CS2, H>
183where
184    C1: CurveGroup,
185    C2: CurveGroup,
186    GC1: CurveVar<C1, CF2<C1>> + ToConstraintFieldGadget<CF2<C1>>,
187    GC2: CurveVar<C2, CF2<C2>> + ToConstraintFieldGadget<CF2<C2>>,
188    CS1: CommitmentScheme<C1, H>,
189    // enforce that the CS2 is Pedersen commitment scheme, since we're at Ethereum's EVM decider
190    CS2: CommitmentScheme<C2, H, ProverParams = PedersenParams<C2>>,
191    <C1 as Group>::ScalarField: Absorb,
192    <C1 as CurveGroup>::BaseField: PrimeField,
193{
194    /// returns an instance of the DeciderEthCircuit from the given HyperNova struct
195    pub fn from_hypernova<FC: FCircuit<C1::ScalarField>, const MU: usize, const NU: usize>(
196        hn: HyperNova<C1, GC1, C2, GC2, FC, CS1, CS2, MU, NU, H>,
197    ) -> Result<Self, Error> {
198        // compute the U_{i+1}, W_{i+1}, by folding the last running & incoming instances
199        let mut transcript = PoseidonSponge::<C1::ScalarField>::new(&hn.poseidon_config);
200        transcript.absorb(&hn.pp_hash);
201        let (nimfs_proof, U_i1, W_i1, rho) = NIMFS::<C1, PoseidonSponge<C1::ScalarField>>::prove(
202            &mut transcript,
203            &hn.ccs,
204            &[hn.U_i.clone()],
205            &[hn.u_i.clone()],
206            &[hn.W_i.clone()],
207            &[hn.w_i.clone()],
208        )?;
209
210        // compute the KZG challenges used as inputs in the circuit
211        let kzg_challenge =
212            KZGChallengeGadget::<C1>::get_challenge_native(&mut transcript, U_i1.clone())?;
213
214        // get KZG evals
215        let mut W = W_i1.w.clone();
216        W.extend(
217            std::iter::repeat(C1::ScalarField::zero())
218                .take(W_i1.w.len().next_power_of_two() - W_i1.w.len()),
219        );
220        let p_W = poly_from_vec(W.to_vec())?;
221        let eval_W = p_W.evaluate(&kzg_challenge);
222
223        Ok(Self {
224            _c1: PhantomData,
225            _gc1: PhantomData,
226            _c2: PhantomData,
227            _gc2: PhantomData,
228            _cs1: PhantomData,
229            _cs2: PhantomData,
230
231            cf_E_len: hn.cf_W_i.E.len(),
232            ccs: hn.ccs,
233            cf_r1cs: hn.cf_r1cs,
234            cf_pedersen_params: hn.cf_cs_params,
235            poseidon_config: hn.poseidon_config,
236            pp_hash: Some(hn.pp_hash),
237            i: Some(hn.i),
238            z_0: Some(hn.z_0),
239            z_i: Some(hn.z_i),
240            U_i: Some(hn.U_i),
241            W_i: Some(hn.W_i),
242            u_i: Some(hn.u_i),
243            w_i: Some(hn.w_i),
244            U_i1: Some(U_i1),
245            W_i1: Some(W_i1),
246            nimfs_proof: Some(nimfs_proof),
247            rho: Some(rho),
248            cf_U_i: Some(hn.cf_U_i),
249            cf_W_i: Some(hn.cf_W_i),
250            kzg_challenge: Some(kzg_challenge),
251            eval_W: Some(eval_W),
252        })
253    }
254}
255
256impl<C1, GC1, C2, GC2, CS1, CS2> ConstraintSynthesizer<CF1<C1>>
257    for DeciderEthCircuit<C1, GC1, C2, GC2, CS1, CS2>
258where
259    C1: CurveGroup,
260    C2: CurveGroup,
261    GC1: CurveVar<C1, CF2<C1>>,
262    GC2: CurveVar<C2, CF2<C2>> + ToConstraintFieldGadget<CF2<C2>>,
263    CS1: CommitmentScheme<C1>,
264    CS2: CommitmentScheme<C2>,
265    C1::ScalarField: PrimeField,
266    <C1 as CurveGroup>::BaseField: PrimeField,
267    <C2 as CurveGroup>::BaseField: PrimeField,
268    <C1 as Group>::ScalarField: Absorb,
269    <C2 as Group>::ScalarField: Absorb,
270    C1: CurveGroup<BaseField = C2::ScalarField, ScalarField = C2::BaseField>,
271    for<'b> &'b GC2: GroupOpsBounds<'b, C2, GC2>,
272{
273    fn generate_constraints(self, cs: ConstraintSystemRef<CF1<C1>>) -> Result<(), SynthesisError> {
274        let ccs_matrices =
275            CCSMatricesVar::<C1::ScalarField>::new_witness(cs.clone(), || Ok(self.ccs.clone()))?;
276
277        let pp_hash = FpVar::<CF1<C1>>::new_input(cs.clone(), || {
278            Ok(self.pp_hash.unwrap_or_else(CF1::<C1>::zero))
279        })?;
280        let i =
281            FpVar::<CF1<C1>>::new_input(cs.clone(), || Ok(self.i.unwrap_or_else(CF1::<C1>::zero)))?;
282        let z_0 = Vec::<FpVar<CF1<C1>>>::new_input(cs.clone(), || {
283            Ok(self.z_0.unwrap_or(vec![CF1::<C1>::zero()]))
284        })?;
285        let z_i = Vec::<FpVar<CF1<C1>>>::new_input(cs.clone(), || {
286            Ok(self.z_i.unwrap_or(vec![CF1::<C1>::zero()]))
287        })?;
288
289        let U_dummy_native = LCCCS::<C1>::dummy(self.ccs.l, self.ccs.t, self.ccs.s);
290        let u_dummy_native = CCCS::<C1>::dummy(self.ccs.l);
291        let w_dummy_native = Witness::<C1::ScalarField>::new(
292            vec![C1::ScalarField::zero(); self.ccs.n - 3 /* (3=2+1, since u_i.x.len=2) */],
293        );
294
295        let U_i = LCCCSVar::<C1>::new_witness(cs.clone(), || {
296            Ok(self.U_i.unwrap_or(U_dummy_native.clone()))
297        })?;
298        let u_i = CCCSVar::<C1>::new_witness(cs.clone(), || {
299            Ok(self.u_i.unwrap_or(u_dummy_native.clone()))
300        })?;
301        // here (U_i1, W_i1) = NIFS.P( (U_i,W_i), (u_i,w_i))
302        let U_i1 = LCCCSVar::<C1>::new_input(cs.clone(), || {
303            Ok(self.U_i1.unwrap_or(U_dummy_native.clone()))
304        })?;
305        let W_i1 = WitnessVar::<C1::ScalarField>::new_witness(cs.clone(), || {
306            Ok(self.W_i1.unwrap_or(w_dummy_native.clone()))
307        })?;
308        let nimfs_proof_dummy = NIMFSProof::<C1>::dummy(&self.ccs, 1, 1); // mu=1 & nu=1 because the last fold is 2-to-1
309        let nimfs_proof = NIMFSProofVar::<C1>::new_witness(cs.clone(), || {
310            Ok(self.nimfs_proof.unwrap_or(nimfs_proof_dummy))
311        })?;
312
313        // allocate the inputs for the check 6
314        let kzg_challenge = FpVar::<CF1<C1>>::new_input(cs.clone(), || {
315            Ok(self.kzg_challenge.unwrap_or_else(CF1::<C1>::zero))
316        })?;
317        let _eval_W = FpVar::<CF1<C1>>::new_input(cs.clone(), || {
318            Ok(self.eval_W.unwrap_or_else(CF1::<C1>::zero))
319        })?;
320
321        // `sponge` is for digest computation.
322        let sponge = PoseidonSpongeVar::<C1::ScalarField>::new(cs.clone(), &self.poseidon_config);
323        // `transcript` is for challenge generation.
324        let mut transcript = sponge.clone();
325        transcript.absorb(&pp_hash)?;
326
327        // NOTE: we use the same enumeration as in Nova's DeciderEthCircuit described at
328        // https://privacy-scaling-explorations.github.io/sonobe-docs/design/nova-decider-onchain.html
329        // in order to make it easier to reason about.
330
331        // 1. check LCCCS relation of U_{i+1}
332        let z_U1: Vec<FpVar<CF1<C1>>> =
333            [vec![U_i1.u.clone()], U_i1.x.to_vec(), W_i1.w.to_vec()].concat();
334        LCCCSCheckerGadget::check(
335            self.ccs.s,
336            ccs_matrices,
337            z_U1,
338            U_i1.r_x.clone(),
339            U_i1.v.clone(),
340        )?;
341
342        // 3.a u_i.x[0] == H(i, z_0, z_i, U_i)
343        let (u_i_x, _) = U_i.clone().hash(
344            &sponge,
345            pp_hash.clone(),
346            i.clone(),
347            z_0.clone(),
348            z_i.clone(),
349        )?;
350        (u_i.x[0]).enforce_equal(&u_i_x)?;
351
352        #[cfg(feature = "light-test")]
353        log::warn!("[WARNING]: Running with the 'light-test' feature, skipping the big part of the DeciderEthCircuit.\n           Only for testing purposes.");
354
355        // The following two checks (and their respective allocations) are disabled for normal
356        // tests since they take several millions of constraints and would take several minutes
357        // (and RAM) to run the test. It is active by default, and not active only when
358        // 'light-test' feature is used.
359        #[cfg(not(feature = "light-test"))]
360        {
361            // imports here instead of at the top of the file, so we avoid having multiple
362            // `#[cfg(not(test))]`
363            use crate::commitment::pedersen::PedersenGadget;
364            use crate::folding::circuits::nonnative::uint::NonNativeUintVar;
365            use crate::folding::nova::decider_eth_circuit::{R1CSVar, RelaxedR1CSGadget};
366            use crate::folding::{
367                circuits::cyclefold::{
368                    CycleFoldCommittedInstanceVar, CycleFoldConfig, CycleFoldWitnessVar,
369                },
370                nova::NovaCycleFoldConfig,
371            };
372            use ark_r1cs_std::ToBitsGadget;
373
374            let cf_u_dummy_native =
375                CycleFoldCommittedInstance::<C2>::dummy(NovaCycleFoldConfig::<C1>::IO_LEN);
376            let cf_w_dummy_native = CycleFoldWitness::<C2>::dummy(
377                self.cf_r1cs.A.n_cols - 1 - self.cf_r1cs.l,
378                self.cf_E_len,
379            );
380            let cf_U_i = CycleFoldCommittedInstanceVar::<C2, GC2>::new_witness(cs.clone(), || {
381                Ok(self.cf_U_i.unwrap_or_else(|| cf_u_dummy_native.clone()))
382            })?;
383            let cf_W_i = CycleFoldWitnessVar::<C2>::new_witness(cs.clone(), || {
384                Ok(self.cf_W_i.unwrap_or(cf_w_dummy_native.clone()))
385            })?;
386
387            // 3.b u_i.x[1] == H(cf_U_i)
388            let (cf_u_i_x, _) = cf_U_i.clone().hash(&sponge, pp_hash.clone())?;
389            (u_i.x[1]).enforce_equal(&cf_u_i_x)?;
390
391            // 4. check Pedersen commitments of cf_U_i.{cmE, cmW}
392            let H = GC2::new_constant(cs.clone(), self.cf_pedersen_params.h)?;
393            let G = Vec::<GC2>::new_constant(cs.clone(), self.cf_pedersen_params.generators)?;
394            let cf_W_i_E_bits: Result<Vec<Vec<Boolean<CF1<C1>>>>, SynthesisError> =
395                cf_W_i.E.iter().map(|E_i| E_i.to_bits_le()).collect();
396            let cf_W_i_W_bits: Result<Vec<Vec<Boolean<CF1<C1>>>>, SynthesisError> =
397                cf_W_i.W.iter().map(|W_i| W_i.to_bits_le()).collect();
398
399            let computed_cmE = PedersenGadget::<C2, GC2>::commit(
400                H.clone(),
401                G.clone(),
402                cf_W_i_E_bits?,
403                cf_W_i.rE.to_bits_le()?,
404            )?;
405            cf_U_i.cmE.enforce_equal(&computed_cmE)?;
406            let computed_cmW =
407                PedersenGadget::<C2, GC2>::commit(H, G, cf_W_i_W_bits?, cf_W_i.rW.to_bits_le()?)?;
408            cf_U_i.cmW.enforce_equal(&computed_cmW)?;
409
410            let cf_r1cs =
411                R1CSVar::<C1::BaseField, CF1<C1>, NonNativeUintVar<CF1<C1>>>::new_witness(
412                    cs.clone(),
413                    || Ok(self.cf_r1cs.clone()),
414                )?;
415
416            // 5. check RelaxedR1CS of cf_U_i
417            let cf_z_U = [vec![cf_U_i.u.clone()], cf_U_i.x.to_vec(), cf_W_i.W.to_vec()].concat();
418            RelaxedR1CSGadget::check_nonnative(cf_r1cs, cf_W_i.E, cf_U_i.u.clone(), cf_z_U)?;
419        }
420
421        // The following steps are in non-increasing order because the `computed_U_i1` is computed
422        // at step 8, and later used at step 6. Notice that in Nova, we compute U_i1 outside of the
423        // circuit, in the smart contract, but here we're computing it in-circuit, and we reuse the
424        // `rho_bits` computed along the way of computing `computed_U_i1` for the later `rho_powers`
425        // check (6.b).
426
427        // Check 7 is temporary disabled due
428        // https://github.com/privacy-scaling-explorations/sonobe/issues/80
429        log::warn!("[WARNING]: issue #80 (https://github.com/privacy-scaling-explorations/sonobe/issues/80) is not resolved yet.");
430        //
431        // 7. check eval_W==p_W(c_W)
432        // let incircuit_eval_W = evaluate_gadget::<CF1<C1>>(W_i1.W, incircuit_c_W)?;
433        // incircuit_eval_W.enforce_equal(&eval_W)?;
434
435        // 8.a verify the NIMFS.V of the final fold, and check that the obtained rho_powers from the
436        // transcript match the one from the public input (so we avoid the onchain logic of the
437        // verifier computing it).
438        // Notice that the NIMFSGadget performs all the logic except of checking the fold of the
439        // instances C parameter, which would require non-native arithmetic, henceforth we perform
440        // that check outside the circuit.
441        let (computed_U_i1, rho_bits) = NIMFSGadget::<C1>::verify(
442            cs.clone(),
443            &self.ccs.clone(),
444            &mut transcript,
445            &[U_i],
446            &[u_i],
447            nimfs_proof,
448            Boolean::TRUE, // enabled
449        )?;
450
451        // 6.a check KZG challenges
452        // Notice that this step is done after the NIMFS.V, to follow the transcript absorbs order
453        // done outside the circuit, where to compute the challenge it needs first to compute the
454        // U_{i+1} through the NIMFS.V
455        let incircuit_challenge =
456            KZGChallengeGadget::<C1>::get_challenge_gadget(&mut transcript, U_i1.clone())?;
457        incircuit_challenge.enforce_equal(&kzg_challenge)?;
458
459        // 6.b check that the obtained U_{i+1} from the NIMFS.V matches the U_{i+1} from the input,
460        // except for the C parameter, which to compute its folding would require non-native logic
461        // in-circuit, and we defer it to outside the circuit.
462        computed_U_i1.u.enforce_equal(&U_i1.u)?;
463        computed_U_i1.r_x.enforce_equal(&U_i1.r_x)?;
464        computed_U_i1.v.enforce_equal(&U_i1.v)?;
465
466        // 8.b check that the in-circuit computed r is equal to the inputted r.
467
468        let rho = Boolean::le_bits_to_fp_var(&rho_bits)?;
469        let external_rho =
470            FpVar::<CF1<C1>>::new_input(cs.clone(), || Ok(self.rho.unwrap_or(CF1::<C1>::zero())))?;
471        rho.enforce_equal(&external_rho)?;
472
473        Ok(())
474    }
475}
476
477/// Gadget that computes the KZG challenges, also offers the rust native implementation compatible
478/// with the gadget.
479pub struct KZGChallengeGadget<C: CurveGroup> {
480    _c: PhantomData<C>,
481}
482#[allow(clippy::type_complexity)]
483impl<C> KZGChallengeGadget<C>
484where
485    C: CurveGroup,
486    C::ScalarField: PrimeField,
487    <C as CurveGroup>::BaseField: PrimeField,
488    C::ScalarField: Absorb,
489{
490    pub fn get_challenge_native<T: Transcript<C::ScalarField>>(
491        transcript: &mut T,
492        U_i: LCCCS<C>,
493    ) -> Result<C::ScalarField, Error> {
494        // compute the KZG challenges, which are computed in-circuit and checked that it matches
495        // the inputted one
496        transcript.absorb_nonnative(&U_i.C);
497        Ok(transcript.get_challenge())
498    }
499    // compatible with the native get_challenge_native
500    pub fn get_challenge_gadget<S: CryptographicSponge, T: TranscriptVar<CF1<C>, S>>(
501        transcript: &mut T,
502        U_i: LCCCSVar<C>,
503    ) -> Result<FpVar<C::ScalarField>, SynthesisError> {
504        transcript.absorb(&U_i.C.to_constraint_field()?)?;
505        transcript.get_challenge()
506    }
507}
508
509#[cfg(test)]
510pub mod tests {
511    use ark_bn254::{constraints::GVar, Fr, G1Projective as Projective};
512    use ark_grumpkin::{constraints::GVar as GVar2, Projective as Projective2};
513    use ark_relations::r1cs::ConstraintSystem;
514    use ark_std::One;
515    use ark_std::{test_rng, UniformRand};
516
517    use super::*;
518    use crate::commitment::pedersen::Pedersen;
519    use crate::folding::nova::PreprocessorParam;
520    use crate::frontend::tests::CubicFCircuit;
521    use crate::transcript::poseidon::poseidon_canonical_config;
522    use crate::FoldingScheme;
523
524    #[test]
525    fn test_lcccs_checker_gadget() {
526        let mut rng = test_rng();
527        let n_rows = 2_u32.pow(5) as usize;
528        let n_cols = 2_u32.pow(5) as usize;
529        let r1cs = R1CS::<Fr>::rand(&mut rng, n_rows, n_cols);
530        let ccs = CCS::from_r1cs(r1cs);
531        let z: Vec<Fr> = (0..n_cols).map(|_| Fr::rand(&mut rng)).collect();
532
533        let (pedersen_params, _) =
534            Pedersen::<Projective>::setup(&mut rng, ccs.n - ccs.l - 1).unwrap();
535
536        let (lcccs, _) = ccs
537            .to_lcccs::<_, Projective, Pedersen<Projective>, false>(&mut rng, &pedersen_params, &z)
538            .unwrap();
539
540        let cs = ConstraintSystem::<Fr>::new_ref();
541
542        // CCS's (sparse) matrices are constants in the circuit
543        let ccs_mat = CCSMatricesVar::<Fr>::new_constant(cs.clone(), ccs.clone()).unwrap();
544        let zVar = Vec::<FpVar<Fr>>::new_input(cs.clone(), || Ok(z)).unwrap();
545        let r_xVar = Vec::<FpVar<Fr>>::new_input(cs.clone(), || Ok(lcccs.r_x)).unwrap();
546        let vVar = Vec::<FpVar<Fr>>::new_input(cs.clone(), || Ok(lcccs.v)).unwrap();
547
548        LCCCSCheckerGadget::check(ccs.s, ccs_mat, zVar, r_xVar, vVar).unwrap();
549
550        assert!(cs.is_satisfied().unwrap());
551    }
552
553    #[test]
554    fn test_decider_circuit() {
555        let mut rng = ark_std::test_rng();
556        let poseidon_config = poseidon_canonical_config::<Fr>();
557
558        let F_circuit = CubicFCircuit::<Fr>::new(()).unwrap();
559        let z_0 = vec![Fr::from(3_u32)];
560
561        const MU: usize = 1;
562        const NU: usize = 1;
563
564        type HN = HyperNova<
565            Projective,
566            GVar,
567            Projective2,
568            GVar2,
569            CubicFCircuit<Fr>,
570            Pedersen<Projective>,
571            Pedersen<Projective2>,
572            MU,
573            NU,
574            false,
575        >;
576        let prep_param = PreprocessorParam::<
577            Projective,
578            Projective2,
579            CubicFCircuit<Fr>,
580            Pedersen<Projective>,
581            Pedersen<Projective2>,
582            false,
583        >::new(poseidon_config, F_circuit);
584        let hn_params = HN::preprocess(&mut rng, &prep_param).unwrap();
585
586        // generate a Nova instance and do a step of it
587        let mut hypernova = HN::init(&hn_params, F_circuit, z_0.clone()).unwrap();
588        hypernova
589            .prove_step(&mut rng, vec![], Some((vec![], vec![])))
590            .unwrap();
591
592        let ivc_v = hypernova.clone();
593        let (running_instance, incoming_instance, cyclefold_instance) = ivc_v.instances();
594        HN::verify(
595            hn_params.1, // HN's verifier_params
596            z_0,
597            ivc_v.z_i,
598            Fr::one(),
599            running_instance,
600            incoming_instance,
601            cyclefold_instance,
602        )
603        .unwrap();
604
605        // load the DeciderEthCircuit from the generated Nova instance
606        let decider_circuit = DeciderEthCircuit::<
607            Projective,
608            GVar,
609            Projective2,
610            GVar2,
611            Pedersen<Projective>,
612            Pedersen<Projective2>,
613        >::from_hypernova(hypernova)
614        .unwrap();
615
616        let cs = ConstraintSystem::<Fr>::new_ref();
617
618        // generate the constraints and check that are satisfied by the inputs
619        decider_circuit.generate_constraints(cs.clone()).unwrap();
620        assert!(cs.is_satisfied().unwrap());
621        dbg!(cs.num_constraints());
622    }
623}