arnaucube
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Nova/examples/minroot.rs
examples/minroot.rsRaw
  1//! Demonstrates how to use Nova to produce a recursive proof of the correct execution of
  2//! iterations of the MinRoot function, thereby realizing a Nova-based verifiable delay function (VDF).
  3//! We execute a configurable number of iterations of the MinRoot function per step of Nova's recursion.
  4type G1 = pasta_curves::pallas::Point;
  5type G2 = pasta_curves::vesta::Point;
  6use ::bellperson::{gadgets::num::AllocatedNum, ConstraintSystem, SynthesisError};
  7use ff::PrimeField;
  8use nova_snark::{
  9  traits::{
 10    circuit::{StepCircuit, TrivialTestCircuit},
 11    Group,
 12  },
 13  CompressedSNARK, PublicParams, RecursiveSNARK,
 14};
 15use num_bigint::BigUint;
 16use std::time::Instant;
 17
 18#[derive(Clone, Debug)]
 19struct MinRootIteration<F: PrimeField> {
 20  x_i: F,
 21  y_i: F,
 22  x_i_plus_1: F,
 23  y_i_plus_1: F,
 24}
 25
 26impl<F: PrimeField> MinRootIteration<F> {
 27  // produces a sample non-deterministic advice, executing one invocation of MinRoot per step
 28  fn new(num_iters: usize, x_0: &F, y_0: &F) -> (Vec<F>, Vec<Self>) {
 29    // although this code is written generically, it is tailored to Pallas' scalar field
 30    // (p - 3 / 5)
 31    let exp = BigUint::parse_bytes(
 32      b"23158417847463239084714197001737581570690445185553317903743794198714690358477",
 33      10,
 34    )
 35    .unwrap();
 36
 37    let mut res = Vec::new();
 38    let mut x_i = *x_0;
 39    let mut y_i = *y_0;
 40    for _i in 0..num_iters {
 41      let x_i_plus_1 = (x_i + y_i).pow_vartime(exp.to_u64_digits()); // computes the fifth root of x_i + y_i
 42
 43      // sanity check
 44      let sq = x_i_plus_1 * x_i_plus_1;
 45      let quad = sq * sq;
 46      let fifth = quad * x_i_plus_1;
 47      debug_assert_eq!(fifth, x_i + y_i);
 48
 49      let y_i_plus_1 = x_i;
 50
 51      res.push(Self {
 52        x_i,
 53        y_i,
 54        x_i_plus_1,
 55        y_i_plus_1,
 56      });
 57
 58      x_i = x_i_plus_1;
 59      y_i = y_i_plus_1;
 60    }
 61
 62    let z0 = vec![*x_0, *y_0];
 63
 64    (z0, res)
 65  }
 66}
 67
 68#[derive(Clone, Debug)]
 69struct MinRootCircuit<F: PrimeField> {
 70  seq: Vec<MinRootIteration<F>>,
 71}
 72
 73impl<F> StepCircuit<F> for MinRootCircuit<F>
 74where
 75  F: PrimeField,
 76{
 77  fn arity(&self) -> usize {
 78    2
 79  }
 80
 81  fn synthesize<CS: ConstraintSystem<F>>(
 82    &self,
 83    cs: &mut CS,
 84    z: &[AllocatedNum<F>],
 85  ) -> Result<Vec<AllocatedNum<F>>, SynthesisError> {
 86    let mut z_out: Result<Vec<AllocatedNum<F>>, SynthesisError> =
 87      Err(SynthesisError::AssignmentMissing);
 88
 89    // use the provided inputs
 90    let x_0 = z[0].clone();
 91    let y_0 = z[1].clone();
 92
 93    // variables to hold running x_i and y_i
 94    let mut x_i = x_0;
 95    let mut y_i = y_0;
 96    for i in 0..self.seq.len() {
 97      // non deterministic advice
 98      let x_i_plus_1 =
 99        AllocatedNum::alloc(cs.namespace(|| format!("x_i_plus_1_iter_{}", i)), || {
100          Ok(self.seq[i].x_i_plus_1)
101        })?;
102
103      // check the following conditions hold:
104      // (i) x_i_plus_1 = (x_i + y_i)^{1/5}, which can be more easily checked with x_i_plus_1^5 = x_i + y_i
105      // (ii) y_i_plus_1 = x_i
106      // (1) constraints for condition (i) are below
107      // (2) constraints for condition (ii) is avoided because we just used x_i wherever y_i_plus_1 is used
108      let x_i_plus_1_sq =
109        x_i_plus_1.square(cs.namespace(|| format!("x_i_plus_1_sq_iter_{}", i)))?;
110      let x_i_plus_1_quad =
111        x_i_plus_1_sq.square(cs.namespace(|| format!("x_i_plus_1_quad_{}", i)))?;
112      cs.enforce(
113        || format!("x_i_plus_1_quad * x_i_plus_1 = x_i + y_i_iter_{}", i),
114        |lc| lc + x_i_plus_1_quad.get_variable(),
115        |lc| lc + x_i_plus_1.get_variable(),
116        |lc| lc + x_i.get_variable() + y_i.get_variable(),
117      );
118
119      if i == self.seq.len() - 1 {
120        z_out = Ok(vec![x_i_plus_1.clone(), x_i.clone()]);
121      }
122
123      // update x_i and y_i for the next iteration
124      y_i = x_i;
125      x_i = x_i_plus_1;
126    }
127
128    z_out
129  }
130
131  fn output(&self, z: &[F]) -> Vec<F> {
132    // sanity check
133    debug_assert_eq!(z[0], self.seq[0].x_i);
134    debug_assert_eq!(z[1], self.seq[0].y_i);
135
136    // compute output using advice
137    vec![
138      self.seq[self.seq.len() - 1].x_i_plus_1,
139      self.seq[self.seq.len() - 1].y_i_plus_1,
140    ]
141  }
142}
143
144fn main() {
145  println!("Nova-based VDF with MinRoot delay function");
146  println!("=========================================================");
147
148  let num_steps = 10;
149  for num_iters_per_step in [1024, 2048, 4096, 8192, 16384, 32768, 65535] {
150    // number of iterations of MinRoot per Nova's recursive step
151    let circuit_primary = MinRootCircuit {
152      seq: vec![
153        MinRootIteration {
154          x_i: <G1 as Group>::Scalar::zero(),
155          y_i: <G1 as Group>::Scalar::zero(),
156          x_i_plus_1: <G1 as Group>::Scalar::zero(),
157          y_i_plus_1: <G1 as Group>::Scalar::zero(),
158        };
159        num_iters_per_step
160      ],
161    };
162
163    let circuit_secondary = TrivialTestCircuit::default();
164
165    println!(
166      "Proving {} iterations of MinRoot per step",
167      num_iters_per_step
168    );
169
170    // produce public parameters
171    println!("Producing public parameters...");
172    let pp = PublicParams::<
173      G1,
174      G2,
175      MinRootCircuit<<G1 as Group>::Scalar>,
176      TrivialTestCircuit<<G2 as Group>::Scalar>,
177    >::setup(circuit_primary, circuit_secondary.clone());
178    println!(
179      "Number of constraints per step (primary circuit): {}",
180      pp.num_constraints().0
181    );
182    println!(
183      "Number of constraints per step (secondary circuit): {}",
184      pp.num_constraints().1
185    );
186
187    println!(
188      "Number of variables per step (primary circuit): {}",
189      pp.num_variables().0
190    );
191    println!(
192      "Number of variables per step (secondary circuit): {}",
193      pp.num_variables().1
194    );
195
196    // produce non-deterministic advice
197    let (z0_primary, minroot_iterations) = MinRootIteration::new(
198      num_iters_per_step * num_steps,
199      &<G1 as Group>::Scalar::zero(),
200      &<G1 as Group>::Scalar::one(),
201    );
202    let minroot_circuits = (0..num_steps)
203      .map(|i| MinRootCircuit {
204        seq: (0..num_iters_per_step)
205          .map(|j| MinRootIteration {
206            x_i: minroot_iterations[i * num_iters_per_step + j].x_i,
207            y_i: minroot_iterations[i * num_iters_per_step + j].y_i,
208            x_i_plus_1: minroot_iterations[i * num_iters_per_step + j].x_i_plus_1,
209            y_i_plus_1: minroot_iterations[i * num_iters_per_step + j].y_i_plus_1,
210          })
211          .collect::<Vec<_>>(),
212      })
213      .collect::<Vec<_>>();
214
215    let z0_secondary = vec![<G2 as Group>::Scalar::zero()];
216
217    type C1 = MinRootCircuit<<G1 as Group>::Scalar>;
218    type C2 = TrivialTestCircuit<<G2 as Group>::Scalar>;
219    // produce a recursive SNARK
220    println!("Generating a RecursiveSNARK...");
221    let mut recursive_snark: Option<RecursiveSNARK<G1, G2, C1, C2>> = None;
222
223    for (i, circuit_primary) in minroot_circuits.iter().take(num_steps).enumerate() {
224      let start = Instant::now();
225      let res = RecursiveSNARK::prove_step(
226        &pp,
227        recursive_snark,
228        circuit_primary.clone(),
229        circuit_secondary.clone(),
230        z0_primary.clone(),
231        z0_secondary.clone(),
232      );
233      assert!(res.is_ok());
234      println!(
235        "RecursiveSNARK::prove_step {}: {:?}, took {:?} ",
236        i,
237        res.is_ok(),
238        start.elapsed()
239      );
240      recursive_snark = Some(res.unwrap());
241    }
242
243    assert!(recursive_snark.is_some());
244    let recursive_snark = recursive_snark.unwrap();
245
246    // verify the recursive SNARK
247    println!("Verifying a RecursiveSNARK...");
248    let start = Instant::now();
249    let res = recursive_snark.verify(&pp, num_steps, z0_primary.clone(), z0_secondary.clone());
250    println!(
251      "RecursiveSNARK::verify: {:?}, took {:?}",
252      res.is_ok(),
253      start.elapsed()
254    );
255    assert!(res.is_ok());
256
257    // produce a compressed SNARK
258    println!("Generating a CompressedSNARK using Spartan with IPA-PC...");
259    let start = Instant::now();
260    type S1 = nova_snark::spartan_with_ipa_pc::RelaxedR1CSSNARK<G1>;
261    type S2 = nova_snark::spartan_with_ipa_pc::RelaxedR1CSSNARK<G2>;
262    let res = CompressedSNARK::<_, _, _, _, S1, S2>::prove(&pp, &recursive_snark);
263    println!(
264      "CompressedSNARK::prove: {:?}, took {:?}",
265      res.is_ok(),
266      start.elapsed()
267    );
268    assert!(res.is_ok());
269    let compressed_snark = res.unwrap();
270
271    // verify the compressed SNARK
272    println!("Verifying a CompressedSNARK...");
273    let start = Instant::now();
274    let res = compressed_snark.verify(&pp, num_steps, z0_primary, z0_secondary);
275    println!(
276      "CompressedSNARK::verify: {:?}, took {:?}",
277      res.is_ok(),
278      start.elapsed()
279    );
280    assert!(res.is_ok());
281    println!("=========================================================");
282  }
283}