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data structure for encoding blobs into a 2D square of evenly sized chunks designed for sampling and reconstruction

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go-square

Go Reference

go-square is a Go module that provides data structures and utilities for interacting with data squares in the Celestia network. The data square is a special form of block serialization in the Celestia blockchain. This repo deals with the original data square which is distinct from the extended data square. Operations on the extended data square are handled by rsmt2d.

Package Description
inclusion Package inclusion contains functions to generate the blob share commitment from a given blob.
share Package share contains the Share data structure.
square Package square implements the logic to construct the original data square based on a list of transactions.

Installation

To use go-square as a dependency in your Go project, you can use go get:

go get github.com/celestiaorg/go-square

Branches and Releasing

This repo has one long living development branch main, for changes targeting the next major version as well as long living branches for each prior major version i.e. v1.x. Non breaking changes may be backported to these branches. This repo follows semver versioning.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

This repo attempts to conform to conventional commits so PR titles should ideally start with fix:, feat:, build:, chore:, ci:, docs:, style:, refactor:, perf:, or test: because this helps with semantic versioning and changelog generation. It is especially important to include an ! (e.g. feat!:) if the PR includes a breaking change.

Tools

  1. Install Go 1.21.5
  2. Install golangci-lint
  3. Fork this repo
  4. Make your changes
  5. Submit a pull request

Helpful Commands

# Display all available make commands
make help

# Run tests
make test

# Run linter
make lint

# Perform benchmarking
make bench

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data structure for encoding blobs into a 2D square of evenly sized chunks designed for sampling and reconstruction

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