NEAR Program Synthesis provides a set of models, tools, and datasets for program synthesis tasks.

This repository will make it easier for the community to compare and reuse program synthesis algorithms across different datasets.

Python 3 (>=3.5) is required to run the code. We also recommend using virtualenv for isolated Python environments and pip for package management. Note, to create a Python 3 environment you need to run:

virtualenv .env --python=python3
source .env/bin/activate

The code also assumes that PyTorch is already installed.

For development installation you need to clone the repository:

git clone https://github.com/nearai/program_synthesis.git
cd program_synthesis

Install program-synthesis in editable mode:

pip install -e .

• AlgoLisp
• Karel
• NAPS

To cite this repository in publications:

@misc{illia_polosukhin_2018_1299382,
  author       = {Illia Polosukhin and
                  Maksym Zavershynskyi and
                  Richard Shin},
  title        = {nearai/program_synthesis: v0.1.2},
  month        = jun,
  year         = 2018,
  doi          = {10.5281/zenodo.1299382},
  url          = {https://doi.org/10.5281/zenodo.1299382}
}