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PyPantograph

A Machine-to-Machine Interaction System for Lean 4.

Installation

  1. Install poetry
  2. Clone this repository with submodules:
git clone --recurse-submodules <repo-path>
  1. Install elan and lake: See Lean Manual
  2. Execute
poetry build
poetry install

Documentation

Build the documentations by

jupyter-book build docs

Then serve

cd docs/_build/html
python3 -m http.server -d .

Examples

For API interaction examples, see examples/README.md. The examples directory also contains a comprehensive Jupyter notebook.

Experiments

In experiments/, there are some experiments:

  1. minif2f is an example of executing a sglang based prover on the miniF2F dataset
  2. dsp is an Lean implementation of Draft-Sketch-Prove

The experiments should be run in poetry shell. The environment variable OPENAI_API_KEY must be set when running experiments calling the OpenAI API.

Referencing

Paper Link

@misc{pantograph,
      title={Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4},
      author={Leni Aniva and Chuyue Sun and Brando Miranda and Clark Barrett and Sanmi Koyejo},
      year={2024},
      eprint={2410.16429},
      archivePrefix={arXiv},
      primaryClass={cs.LO},
      url={https://arxiv.org/abs/2410.16429},
}