61 lines
1.5 KiB
Markdown
61 lines
1.5 KiB
Markdown
# PyPantograph
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A Machine-to-Machine Interaction System for Lean 4.
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## Installation
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1. Install `poetry`
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2. Clone this repository with submodules:
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```sh
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git clone --recurse-submodules <repo-path>
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```
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3. Install `elan` and `lake`: See [Lean Manual](https://docs.lean-lang.org/lean4/doc/setup.html)
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4. Execute
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```sh
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poetry build
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poetry install
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```
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## Documentation
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Build the documentations by
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```sh
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poetry install --only doc
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poetry run jupyter-book build docs
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```
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Then serve
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```sh
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cd docs/_build/html
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python3 -m http.server -d .
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```
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## Examples
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For API interaction examples, see `examples/README.md`. The examples directory
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also contains a comprehensive Jupyter notebook.
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## Experiments
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In `experiments/`, there are some experiments:
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1. `minif2f` is an example of executing a `sglang` based prover on the miniF2F dataset
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2. `dsp` is an Lean implementation of Draft-Sketch-Prove
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The experiments should be run in `poetry shell`. The environment variable
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`OPENAI_API_KEY` must be set when running experiments calling the OpenAI API.
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## Referencing
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[Paper Link](https://arxiv.org/abs/2410.16429)
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```bib
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@misc{pantograph,
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title={Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4},
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author={Leni Aniva and Chuyue Sun and Brando Miranda and Clark Barrett and Sanmi Koyejo},
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year={2024},
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eprint={2410.16429},
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archivePrefix={arXiv},
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primaryClass={cs.LO},
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url={https://arxiv.org/abs/2410.16429},
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}
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```
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