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zkSNARK library implementation in Go

Caution & Warning

Implementation of the zkSNARK Pinocchio protocol from scratch in Go to understand the concepts. Do not use in production.

Not finished, implementing this in my free time to understand it better, so I don't have much time.

Currently allows to do the complete path with Pinocchio protocol :

  1. compile circuuit
  2. generate trusted setup
  3. calculate witness
  4. generate proofs
  5. verify proofs

Minimal complete flow implementation:

Improvements from the minimal implementation:

Usage

CLI usage

The cli still needs some improvements, such as seting input files, etc.

In this example we will follow the equation example from Vitalik's article: y = x^3 + x + 5, where y==35 and x==3. So we want to prove that we know a secret x such as the result of the equation is 35.

Compile circuit

Having a circuit file test.circuit:

func exp3(private a):
	b = a * a
	c = a * b
	return c

func main(private s0, public s1):
	s3 = exp3(s0)
	s4 = s3 + s0
	s5 = s4 + 5
	equals(s1, s5)
	out = 1 * 1

And a private inputs file privateInputs.json

[
	3
]

And a public inputs file publicInputs.json

[
	35
]

In the command line, execute:

> ./go-snark-cli compile test.circuit

This will output the compiledcircuit.json file.

Trusted Setup

Having the compiledcircuit.json, now we can generate the TrustedSetup:

> ./go-snark-cli trustedsetup

This will create the file trustedsetup.json with the TrustedSetup data, and also a toxic.json file, with the parameters to delete from the Trusted Setup.

Generate Proofs

Assumming that we have the compiledcircuit.json, trustedsetup.json, privateInputs.json and the publicInputs.json we can now generate the Proofs with the following command:

> ./go-snark-cli genproofs

This will store the file proofs.json, that contains all the SNARK proofs.

Verify Proofs

Having the proofs.json, compiledcircuit.json, trustedsetup.json publicInputs.json files, we can now verify the Pairings of the proofs, in order to verify the proofs.

> ./go-snark-cli verify

This will return a true if the proofs are verified, or a false if the proofs are not verified.

Library usage

Example:

// compile circuit and get the R1CS
flatCode := `
func exp3(private a):
	b = a * a
	c = a * b
	return c

func main(private s0, public s1):
	s3 = exp3(s0)
	s4 = s3 + s0
	s5 = s4 + 5
	equals(s1, s5)
	out = 1 * 1
`

// parse the code
parser := circuitcompiler.NewParser(strings.NewReader(flatCode))
circuit, err := parser.Parse()
assert.Nil(t, err)
fmt.Println(circuit)


b3 := big.NewInt(int64(3))
privateInputs := []*big.Int{b3}
b35 := big.NewInt(int64(35))
publicSignals := []*big.Int{b35}

// witness
w, err := circuit.CalculateWitness(privateInputs, publicSignals)
assert.Nil(t, err)
fmt.Println("witness", w)

// now we have the witness:
// w = [1 35 3 9 27 30 35 1]

// flat code to R1CS
fmt.Println("generating R1CS from flat code")
a, b, c := circuit.GenerateR1CS()

/*
now we have the R1CS from the circuit:
a: [[0 0 1 0 0 0 0 0] [0 0 1 0 0 0 0 0] [0 0 1 0 1 0 0 0] [5 0 0 0 0 1 0 0] [0 0 0 0 0 0 1 0] [0 1 0 0 0 0 0 0] [1 0 0 0 0 0 0 0]]
b: [[0 0 1 0 0 0 0 0] [0 0 0 1 0 0 0 0] [1 0 0 0 0 0 0 0] [1 0 0 0 0 0 0 0] [1 0 0 0 0 0 0 0] [1 0 0 0 0 0 0 0] [1 0 0 0 0 0 0 0]]
c: [[0 0 0 1 0 0 0 0] [0 0 0 0 1 0 0 0] [0 0 0 0 0 1 0 0] [0 0 0 0 0 0 1 0] [0 1 0 0 0 0 0 0] [0 0 0 0 0 0 1 0] [0 0 0 0 0 0 0 1]]
*/


alphas, betas, gammas, _ := snark.Utils.PF.R1CSToQAP(a, b, c)


ax, bx, cx, px := Utils.PF.CombinePolynomials(w, alphas, betas, gammas)

// calculate trusted setup
setup, err := GenerateTrustedSetup(len(w), *circuit, alphas, betas, gammas)

hx := Utils.PF.DivisorPolynomial(px, setup.Pk.Z)

proof, err := GenerateProofs(*circuit, setup, w, px)

b35Verif := big.NewInt(int64(35))
publicSignalsVerif := []*big.Int{b35Verif}
assert.True(t, VerifyProof(*circuit, setup, proof, publicSignalsVerif, true))

Test

go test ./... -v

vim/nvim circuit syntax highlighter

For more details and installation instructions see https://github.com/arnaucube/go-snark/tree/master/vim-syntax


Thanks to @jbaylina, @bellesmarta, @adriamb for their explanations that helped to understand this a little bit. Also thanks to @vbuterin for all the published articles explaining the zkSNARKs.