arnaucube
arnaucube/NovaPublic Self-hosted repository
Nova/src/r1cs.rs
src/r1cs.rsRaw
  1//! This module defines R1CS related types and a folding scheme for Relaxed R1CS
  2#![allow(clippy::type_complexity)]
  3use super::{
  4  commitments::{CommitGens, CommitTrait, Commitment},
  5  constants::{BN_LIMB_WIDTH, BN_N_LIMBS, NUM_HASH_BITS},
  6  errors::NovaError,
  7  gadgets::utils::scalar_as_base,
  8  traits::{AbsorbInROTrait, AppendToTranscriptTrait, Group, HashFuncTrait},
  9};
 10use bellperson_nonnative::{mp::bignat::nat_to_limbs, util::convert::f_to_nat};
 11use ff::{Field, PrimeField};
 12use flate2::{write::ZlibEncoder, Compression};
 13use itertools::concat;
 14use merlin::Transcript;
 15use rayon::prelude::*;
 16use serde::{Deserialize, Serialize};
 17use sha3::{Digest, Sha3_256};
 18
 19/// Public parameters for a given R1CS
 20pub struct R1CSGens<G: Group> {
 21  pub(crate) gens_W: CommitGens<G>, // TODO: avoid pub(crate)
 22  pub(crate) gens_E: CommitGens<G>,
 23}
 24
 25/// A type that holds the shape of the R1CS matrices
 26#[derive(Clone, Debug, PartialEq, Eq)]
 27pub struct R1CSShape<G: Group> {
 28  num_cons: usize,
 29  num_vars: usize,
 30  num_io: usize,
 31  A: Vec<(usize, usize, G::Scalar)>,
 32  B: Vec<(usize, usize, G::Scalar)>,
 33  C: Vec<(usize, usize, G::Scalar)>,
 34}
 35
 36/// A type that holds a witness for a given R1CS instance
 37#[derive(Clone, Debug, PartialEq, Eq)]
 38pub struct R1CSWitness<G: Group> {
 39  W: Vec<G::Scalar>,
 40}
 41
 42/// A type that holds an R1CS instance
 43#[derive(Clone, Debug, PartialEq, Eq)]
 44pub struct R1CSInstance<G: Group> {
 45  pub(crate) comm_W: Commitment<G>,
 46  pub(crate) X: Vec<G::Scalar>,
 47}
 48
 49/// A type that holds a witness for a given Relaxed R1CS instance
 50#[derive(Clone, Debug, PartialEq, Eq)]
 51pub struct RelaxedR1CSWitness<G: Group> {
 52  W: Vec<G::Scalar>,
 53  E: Vec<G::Scalar>,
 54}
 55
 56/// A type that holds a Relaxed R1CS instance
 57#[derive(Clone, Debug, PartialEq, Eq)]
 58pub struct RelaxedR1CSInstance<G: Group> {
 59  pub(crate) comm_W: Commitment<G>,
 60  pub(crate) comm_E: Commitment<G>,
 61  pub(crate) X: Vec<G::Scalar>,
 62  pub(crate) u: G::Scalar,
 63}
 64
 65impl<G: Group> R1CSGens<G> {
 66  /// Samples public parameters for the specified number of constraints and variables in an R1CS
 67  pub fn new(num_cons: usize, num_vars: usize) -> R1CSGens<G> {
 68    // generators to commit to witness vector `W`
 69    let gens_W = CommitGens::new(b"gens_W", num_vars);
 70
 71    // generators to commit to the error/slack vector `E`
 72    let gens_E = CommitGens::new(b"gens_E", num_cons);
 73
 74    R1CSGens { gens_E, gens_W }
 75  }
 76}
 77
 78impl<G: Group> R1CSShape<G> {
 79  /// Create an object of type `R1CSShape` from the explicitly specified R1CS matrices
 80  pub fn new(
 81    num_cons: usize,
 82    num_vars: usize,
 83    num_io: usize,
 84    A: &[(usize, usize, G::Scalar)],
 85    B: &[(usize, usize, G::Scalar)],
 86    C: &[(usize, usize, G::Scalar)],
 87  ) -> Result<R1CSShape<G>, NovaError> {
 88    let is_valid = |num_cons: usize,
 89                    num_vars: usize,
 90                    num_io: usize,
 91                    M: &[(usize, usize, G::Scalar)]|
 92     -> Result<(), NovaError> {
 93      let res = (0..M.len())
 94        .map(|i| {
 95          let (row, col, _val) = M[i];
 96          if row >= num_cons || col > num_io + num_vars {
 97            Err(NovaError::InvalidIndex)
 98          } else {
 99            Ok(())
100          }
101        })
102        .collect::<Result<Vec<()>, NovaError>>();
103
104      if res.is_err() {
105        Err(NovaError::InvalidIndex)
106      } else {
107        Ok(())
108      }
109    };
110
111    let res_A = is_valid(num_cons, num_vars, num_io, A);
112    let res_B = is_valid(num_cons, num_vars, num_io, B);
113    let res_C = is_valid(num_cons, num_vars, num_io, C);
114
115    if res_A.is_err() || res_B.is_err() || res_C.is_err() {
116      return Err(NovaError::InvalidIndex);
117    }
118
119    // We require the number of public inputs/outputs to be even
120    if num_io % 2 != 0 {
121      return Err(NovaError::OddInputLength);
122    }
123
124    let shape = R1CSShape {
125      num_cons,
126      num_vars,
127      num_io,
128      A: A.to_owned(),
129      B: B.to_owned(),
130      C: C.to_owned(),
131    };
132
133    Ok(shape)
134  }
135
136  fn multiply_vec(
137    &self,
138    z: &[G::Scalar],
139  ) -> Result<(Vec<G::Scalar>, Vec<G::Scalar>, Vec<G::Scalar>), NovaError> {
140    if z.len() != self.num_io + self.num_vars + 1 {
141      return Err(NovaError::InvalidWitnessLength);
142    }
143
144    // computes a product between a sparse matrix `M` and a vector `z`
145    // This does not perform any validation of entries in M (e.g., if entries in `M` reference indexes outside the range of `z`)
146    // This is safe since we know that `M` is valid
147    let sparse_matrix_vec_product =
148      |M: &Vec<(usize, usize, G::Scalar)>, num_rows: usize, z: &[G::Scalar]| -> Vec<G::Scalar> {
149        (0..M.len())
150          .map(|i| {
151            let (row, col, val) = M[i];
152            (row, val * z[col])
153          })
154          .fold(vec![G::Scalar::zero(); num_rows], |mut Mz, (r, v)| {
155            Mz[r] += v;
156            Mz
157          })
158      };
159
160    let Az = sparse_matrix_vec_product(&self.A, self.num_cons, z);
161    let Bz = sparse_matrix_vec_product(&self.B, self.num_cons, z);
162    let Cz = sparse_matrix_vec_product(&self.C, self.num_cons, z);
163
164    Ok((Az, Bz, Cz))
165  }
166
167  /// Checks if the Relaxed R1CS instance is satisfiable given a witness and its shape
168  pub fn is_sat_relaxed(
169    &self,
170    gens: &R1CSGens<G>,
171    U: &RelaxedR1CSInstance<G>,
172    W: &RelaxedR1CSWitness<G>,
173  ) -> Result<(), NovaError> {
174    assert_eq!(W.W.len(), self.num_vars);
175    assert_eq!(W.E.len(), self.num_cons);
176    assert_eq!(U.X.len(), self.num_io);
177
178    // verify if Az * Bz = u*Cz + E
179    let res_eq: bool = {
180      let z = concat(vec![W.W.clone(), vec![U.u], U.X.clone()]);
181      let (Az, Bz, Cz) = self.multiply_vec(&z)?;
182      assert_eq!(Az.len(), self.num_cons);
183      assert_eq!(Bz.len(), self.num_cons);
184      assert_eq!(Cz.len(), self.num_cons);
185
186      let res: usize = (0..self.num_cons)
187        .map(|i| {
188          if Az[i] * Bz[i] == U.u * Cz[i] + W.E[i] {
189            0
190          } else {
191            1
192          }
193        })
194        .sum();
195
196      res == 0
197    };
198
199    // verify if comm_E and comm_W are commitments to E and W
200    let res_comm: bool = {
201      let comm_W = W.W.commit(&gens.gens_W);
202      let comm_E = W.E.commit(&gens.gens_E);
203
204      U.comm_W == comm_W && U.comm_E == comm_E
205    };
206
207    if res_eq && res_comm {
208      Ok(())
209    } else {
210      Err(NovaError::UnSat)
211    }
212  }
213
214  /// Checks if the R1CS instance is satisfiable given a witness and its shape
215  pub fn is_sat(
216    &self,
217    gens: &R1CSGens<G>,
218    U: &R1CSInstance<G>,
219    W: &R1CSWitness<G>,
220  ) -> Result<(), NovaError> {
221    assert_eq!(W.W.len(), self.num_vars);
222    assert_eq!(U.X.len(), self.num_io);
223
224    // verify if Az * Bz = u*Cz
225    let res_eq: bool = {
226      let z = concat(vec![W.W.clone(), vec![G::Scalar::one()], U.X.clone()]);
227      let (Az, Bz, Cz) = self.multiply_vec(&z)?;
228      assert_eq!(Az.len(), self.num_cons);
229      assert_eq!(Bz.len(), self.num_cons);
230      assert_eq!(Cz.len(), self.num_cons);
231
232      let res: usize = (0..self.num_cons)
233        .map(|i| if Az[i] * Bz[i] == Cz[i] { 0 } else { 1 })
234        .sum();
235
236      res == 0
237    };
238
239    // verify if comm_W is a commitment to W
240    let res_comm: bool = U.comm_W == W.W.commit(&gens.gens_W);
241
242    if res_eq && res_comm {
243      Ok(())
244    } else {
245      Err(NovaError::UnSat)
246    }
247  }
248
249  /// A method to compute a commitment to the cross-term `T` given a
250  /// Relaxed R1CS instance-witness pair and an R1CS instance-witness pair
251  pub fn commit_T(
252    &self,
253    gens: &R1CSGens<G>,
254    U1: &RelaxedR1CSInstance<G>,
255    W1: &RelaxedR1CSWitness<G>,
256    U2: &R1CSInstance<G>,
257    W2: &R1CSWitness<G>,
258  ) -> Result<(Vec<G::Scalar>, Commitment<G>), NovaError> {
259    let (AZ_1, BZ_1, CZ_1) = {
260      let Z1 = concat(vec![W1.W.clone(), vec![U1.u], U1.X.clone()]);
261      self.multiply_vec(&Z1)?
262    };
263
264    let (AZ_2, BZ_2, CZ_2) = {
265      let Z2 = concat(vec![W2.W.clone(), vec![G::Scalar::one()], U2.X.clone()]);
266      self.multiply_vec(&Z2)?
267    };
268
269    let AZ_1_circ_BZ_2 = (0..AZ_1.len())
270      .map(|i| AZ_1[i] * BZ_2[i])
271      .collect::<Vec<G::Scalar>>();
272    let AZ_2_circ_BZ_1 = (0..AZ_2.len())
273      .map(|i| AZ_2[i] * BZ_1[i])
274      .collect::<Vec<G::Scalar>>();
275    let u_1_cdot_CZ_2 = (0..CZ_2.len())
276      .map(|i| U1.u * CZ_2[i])
277      .collect::<Vec<G::Scalar>>();
278    let u_2_cdot_CZ_1 = (0..CZ_1.len()).map(|i| CZ_1[i]).collect::<Vec<G::Scalar>>();
279
280    let T = AZ_1_circ_BZ_2
281      .par_iter()
282      .zip(&AZ_2_circ_BZ_1)
283      .zip(&u_1_cdot_CZ_2)
284      .zip(&u_2_cdot_CZ_1)
285      .map(|(((a, b), c), d)| *a + *b - *c - *d)
286      .collect::<Vec<G::Scalar>>();
287
288    let comm_T = T.commit(&gens.gens_E);
289
290    Ok((T, comm_T))
291  }
292
293  /// returns the digest of R1CSShape
294  fn get_digest(&self) -> G::Scalar {
295    let shape_serialized = R1CSShapeSerialized {
296      num_cons: self.num_cons,
297      num_vars: self.num_vars,
298      num_io: self.num_io,
299      A: self
300        .A
301        .iter()
302        .map(|(i, j, v)| (*i, *j, v.to_repr().as_ref().to_vec()))
303        .collect(),
304      B: self
305        .B
306        .iter()
307        .map(|(i, j, v)| (*i, *j, v.to_repr().as_ref().to_vec()))
308        .collect(),
309      C: self
310        .C
311        .iter()
312        .map(|(i, j, v)| (*i, *j, v.to_repr().as_ref().to_vec()))
313        .collect(),
314    };
315
316    // obtain a vector of bytes representing the R1CS shape
317    let mut encoder = ZlibEncoder::new(Vec::new(), Compression::default());
318    bincode::serialize_into(&mut encoder, &shape_serialized).unwrap();
319    let shape_bytes = encoder.finish().unwrap();
320
321    // convert shape_bytes into a short digest
322    let mut hasher = Sha3_256::new();
323    hasher.input(&shape_bytes);
324    let shape_digest = hasher.result();
325
326    // truncate the digest to 250 bits
327    let bv = (0..NUM_HASH_BITS).map(|i| {
328      let (byte_pos, bit_pos) = (i / 8, i % 8);
329      let bit = (shape_digest[byte_pos] >> bit_pos) & 1;
330      bit == 1
331    });
332
333    // turn the bit vector into a scalar
334    let mut res = G::Scalar::zero();
335    let mut coeff = G::Scalar::one();
336    for bit in bv {
337      if bit {
338        res += coeff;
339      }
340      coeff += coeff;
341    }
342    res
343  }
344}
345
346#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize)]
347struct R1CSShapeSerialized {
348  num_cons: usize,
349  num_vars: usize,
350  num_io: usize,
351  A: Vec<(usize, usize, Vec<u8>)>,
352  B: Vec<(usize, usize, Vec<u8>)>,
353  C: Vec<(usize, usize, Vec<u8>)>,
354}
355
356impl<G: Group> AppendToTranscriptTrait for R1CSShape<G> {
357  fn append_to_transcript(&self, _label: &'static [u8], transcript: &mut Transcript) {
358    self
359      .get_digest()
360      .append_to_transcript(b"R1CSShape", transcript);
361  }
362}
363
364impl<G: Group> AbsorbInROTrait<G> for R1CSShape<G> {
365  fn absorb_in_ro(&self, ro: &mut G::HashFunc) {
366    ro.absorb(scalar_as_base::<G>(self.get_digest()));
367  }
368}
369
370impl<G: Group> R1CSWitness<G> {
371  /// A method to create a witness object using a vector of scalars
372  pub fn new(S: &R1CSShape<G>, W: &[G::Scalar]) -> Result<R1CSWitness<G>, NovaError> {
373    if S.num_vars != W.len() {
374      Err(NovaError::InvalidWitnessLength)
375    } else {
376      Ok(R1CSWitness { W: W.to_owned() })
377    }
378  }
379
380  /// Commits to the witness using the supplied generators
381  pub fn commit(&self, gens: &R1CSGens<G>) -> Commitment<G> {
382    self.W.commit(&gens.gens_W)
383  }
384}
385
386impl<G: Group> R1CSInstance<G> {
387  /// A method to create an instance object using consitituent elements
388  pub fn new(
389    S: &R1CSShape<G>,
390    comm_W: &Commitment<G>,
391    X: &[G::Scalar],
392  ) -> Result<R1CSInstance<G>, NovaError> {
393    if S.num_io != X.len() {
394      Err(NovaError::InvalidInputLength)
395    } else {
396      Ok(R1CSInstance {
397        comm_W: *comm_W,
398        X: X.to_owned(),
399      })
400    }
401  }
402}
403
404impl<G: Group> AppendToTranscriptTrait for R1CSInstance<G> {
405  fn append_to_transcript(&self, _label: &'static [u8], transcript: &mut Transcript) {
406    self.comm_W.append_to_transcript(b"comm_W", transcript);
407    self.X.append_to_transcript(b"X", transcript);
408  }
409}
410
411impl<G: Group> AbsorbInROTrait<G> for R1CSInstance<G> {
412  fn absorb_in_ro(&self, ro: &mut G::HashFunc) {
413    self.comm_W.absorb_in_ro(ro);
414    for x in &self.X {
415      ro.absorb(scalar_as_base::<G>(*x));
416    }
417  }
418}
419
420impl<G: Group> RelaxedR1CSWitness<G> {
421  /// Produces a default RelaxedR1CSWitness given an R1CSShape
422  pub fn default(S: &R1CSShape<G>) -> RelaxedR1CSWitness<G> {
423    RelaxedR1CSWitness {
424      W: vec![G::Scalar::zero(); S.num_vars],
425      E: vec![G::Scalar::zero(); S.num_cons],
426    }
427  }
428
429  /// Commits to the witness using the supplied generators
430  pub fn commit(&self, gens: &R1CSGens<G>) -> (Commitment<G>, Commitment<G>) {
431    (self.W.commit(&gens.gens_W), self.E.commit(&gens.gens_E))
432  }
433
434  /// Folds an incoming R1CSWitness into the current one
435  pub fn fold(
436    &self,
437    W2: &R1CSWitness<G>,
438    T: &[G::Scalar],
439    r: &G::Scalar,
440  ) -> Result<RelaxedR1CSWitness<G>, NovaError> {
441    let (W1, E1) = (&self.W, &self.E);
442    let W2 = &W2.W;
443
444    if W1.len() != W2.len() {
445      return Err(NovaError::InvalidWitnessLength);
446    }
447
448    let W = W1
449      .par_iter()
450      .zip(W2)
451      .map(|(a, b)| *a + *r * *b)
452      .collect::<Vec<G::Scalar>>();
453    let E = E1
454      .par_iter()
455      .zip(T)
456      .map(|(a, b)| *a + *r * *b)
457      .collect::<Vec<G::Scalar>>();
458    Ok(RelaxedR1CSWitness { W, E })
459  }
460}
461
462impl<G: Group> RelaxedR1CSInstance<G> {
463  /// Produces a default RelaxedR1CSInstance given R1CSGens and R1CSShape
464  pub fn default(gens: &R1CSGens<G>, S: &R1CSShape<G>) -> RelaxedR1CSInstance<G> {
465    let (comm_W, comm_E) = RelaxedR1CSWitness::default(S).commit(gens);
466    RelaxedR1CSInstance {
467      comm_W,
468      comm_E,
469      u: G::Scalar::zero(),
470      X: vec![G::Scalar::zero(); S.num_io],
471    }
472  }
473
474  /// Folds an incoming RelaxedR1CSInstance into the current one
475  pub fn fold(
476    &self,
477    U2: &R1CSInstance<G>,
478    comm_T: &Commitment<G>,
479    r: &G::Scalar,
480  ) -> Result<RelaxedR1CSInstance<G>, NovaError> {
481    let (X1, u1, comm_W_1, comm_E_1) =
482      (&self.X, &self.u, &self.comm_W.clone(), &self.comm_E.clone());
483    let (X2, comm_W_2) = (&U2.X, &U2.comm_W);
484
485    // weighted sum of X, comm_W, comm_E, and u
486    let X = X1
487      .par_iter()
488      .zip(X2)
489      .map(|(a, b)| *a + *r * *b)
490      .collect::<Vec<G::Scalar>>();
491    let comm_W = comm_W_1 + comm_W_2 * r;
492    let comm_E = *comm_E_1 + *comm_T * *r;
493    let u = *u1 + *r;
494
495    Ok(RelaxedR1CSInstance {
496      comm_W,
497      comm_E,
498      X,
499      u,
500    })
501  }
502}
503
504impl<G: Group> AppendToTranscriptTrait for RelaxedR1CSInstance<G> {
505  fn append_to_transcript(&self, _label: &'static [u8], transcript: &mut Transcript) {
506    self.comm_W.append_to_transcript(b"comm_W", transcript);
507    self.comm_E.append_to_transcript(b"comm_E", transcript);
508    self.u.append_to_transcript(b"u", transcript);
509    self.X.append_to_transcript(b"X", transcript);
510  }
511}
512
513impl<G: Group> AbsorbInROTrait<G> for RelaxedR1CSInstance<G> {
514  fn absorb_in_ro(&self, ro: &mut G::HashFunc) {
515    self.comm_W.absorb_in_ro(ro);
516    self.comm_E.absorb_in_ro(ro);
517    ro.absorb(scalar_as_base::<G>(self.u));
518
519    // absorb each element of self.X in bignum format
520    for x in &self.X {
521      let limbs: Vec<G::Scalar> = nat_to_limbs(&f_to_nat(x), BN_LIMB_WIDTH, BN_N_LIMBS).unwrap();
522      for limb in limbs {
523        ro.absorb(scalar_as_base::<G>(limb));
524      }
525    }
526  }
527}