Leni Aniva 7d4ee57c15 | ||
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docs | ||
examples | ||
experiments | ||
pantograph | ||
src@a11127a64e | ||
.gitignore | ||
.gitmodules | ||
LICENSE | ||
README.md | ||
SNAP.md | ||
build.py | ||
main_krbtmux_bm.sh | ||
poetry.lock | ||
pyproject.toml | ||
test_vllm.py |
README.md
PyPantograph
A Machine-to-Machine Interaction System for Lean 4.
Installation
- Install
poetry
- Clone this repository with submodules:
git clone --recursive-submodules <repo-path>
- Install
elan
andlake
: See Lean Manual - Execute
poetry build
poetry install
Examples
For API interaction examples, see examples/README.md
An agent based on the sglang
library is provided in
pantograph/search_llm.py
. To use this agent, set the environment variable
OPENAI_API_KEY
, and run
python3 -m pantograph.search_llm
Experiments
In experiments/
, there are some experiments:
minif2f/
is an example of executing a SGLANG based prover on the miniF2F datasetdsp
is an Lean implementation of Draft-Sketch-Prove
If the experiments don't work, run them in poetry shell
. The environment
variable OPENAI_API_KEY
must be set when running experiments calling the
OpenAI API.
Referencing
@misc{pantograph,
title = "Pantograph, A Machine-to-Machine Interface for Lean 4",
author = {Aniva, Leni and Miranda, Brando and Sun, Chuyue},
year = 2024,
howpublished = {\url{https://github.com/lenianiva/PyPantograph}}
}