rust-kzg-bn254

Crates.iorust-kzg-bn254
lib.rsrust-kzg-bn254
version0.2.0
sourcesrc
created_at2024-05-31 23:05:51.701644
updated_at2024-06-03 16:30:10.344815
descriptionThis library offers a set of functions for generating and interacting with bn254 KZG commitments and proofs in rust, with the motivation of supporting fraud and validity proof logic in EigenDA rollup integrations.
homepage
repositoryhttps://github.com/Layr-Labs/rust-kzg-bn254
max_upload_size
id1258347
size65,748
(anupsv)

documentation

README

rust-kzg-bn254

Description

This library offers a set of functions for generating and interacting with bn254 KZG commitments and proofs in rust, with the motivation of supporting fraud and validity proof logic in EigenDA rollup integrations.

Warning & Disclaimer

This code is unaudited and under construction. This is experimental software and is provided on an "as is" and "as available" basis and may not work at all. It should not be used in production.

Setup for testing

  1. To test, please download the provided G1 and G2 points from DA Resources,
  2. Specify these files in the kzg.setup() function, leave the g2_power_of2_path empty, and specify srs_order to be 3000.

Configuring with the EigenDA KZG trusted setup

  1. Follow the setup instructions to download the G1 and G2 powers of 2 points from the Operator Setup Guide
  2. Specify the files in kzg.setup() function, leave the g2_points empty, and specify the srs_order per the guide.
  3. Note that this is process will take a few minutes to load since it is a bit intensive.

Clippy

Linting can be triggered via running cargo clippy --all --manifest-path Cargo.toml -- -D warnings.

Quick Start

  1. Check the test in test_compute_kzg_proof function to see the end to end usage of the library for quick start.

Requirements

  1. SRS points required are in the same format as provided by the EigenDA.
  2. Commiting is performed in lagrange format. The required IFFT is done within the function and is not required to be performed separately.
  3. For proof generation, the data is treated as evaluation of polynomial. The required (i)FFT is performed by the compute function and is not required to be performed separately.

Function Reference

from_bytes_and_pad()

The Blob is loaded with from_bytes_and_pad which accepts bytes and "pads" it so that the data fits within the requirements of Eigen DA functioning. It also keeps track of the blob length after padding.

to_polynomial()

From the Blob, a polynomial can be obtained via calling the to_polynomial() function. This converts the Blob to Field elements, then calculates the next power of 2 from this length of field elements and appends zero value elements for the remaining length.

data_setup_custom and data_setup_mins parameters

The data_setup_custom (for testing) or data_setup_mins should be used to specify the number of chunks and chunk length. These parameters are used to calculate the FFT params required for FFT operations.

commit()

The commit function takes in a polynomial. It is computed over lagrange basis by performing the (i)FFT.

compute_kzg_proof_with_roots_of_unity()

The compute_kzg_proof_with_roots_of_unity takes in a Polynomial and an index at which it needs to be computed.

Commit count: 63

cargo fmt