Skip to main content

Gymnasium environments for saturation provers

Project description

BinderPyPI versionAnacondaCircleCIDocumentation StatuscodecovJOSS

gym-saturation

gym-saturation is a collection of Gymnasium environments for reinforcement learning (RL) agents striving to prove theorems. Currently, only theorems written in TPTP library formal language are supported. gym-saturation implements the ‘given clause’ algorithm (similar to one used in Vampire and E Prover).

There is one environment in gym-saturation: VampireEnv and IProverEnv. VampireEnv is a wrapper around a recent Vampire prover, and IProverEnv relies on an experimental version of iProver.

In contrast to monolithic architecture of a typical Automated Theorem Prover (ATP), gym-saturation gives different agents opportunities to select clauses themselves and train from their experience. Combined with a particular agent, gym-saturation can work as an ATP.

gym-saturation can be interesting for RL practitioners willing to apply their experience to theorem proving without coding all the logic-related stuff themselves. It also can be useful for automated deduction researchers who want to create an RL-empowered ATP.

How to Install

The best way to install this package is to use pip:

pip install gym-saturation

Another option is to use conda:

conda install -c conda-forge gym-saturation

One can also run it in a Docker container (with a pre-packed vampire binary):

docker build -t gym-saturation https://github.com/inpefess/gym-saturation.git
docker run -it --rm -p 8888:8888 gym-saturation jupyter-lab --ip=0.0.0.0 --port=8888

How to use

import gym_saturation
import gymnasium as gym
import os

# get a TPTP problem file or create one yourself
env = gym.make("Vampire-v0", problem_list=["..."])
observation = env.reset()
# an order number of a 'given clause'
action = ...
observation, reward, terminated, truncated, info = env.step(action)

See the notebook or run it in Binder for more information.

How to Contribute

Pull requests are welcome. To start:

git clone https://github.com/inpefess/gym-saturation
cd gym-saturation
# activate python virtual environment with Python 3.8+
pip install -U pip
pip install -U setuptools wheel poetry
poetry install
# recommended but not necessary
pre-commit install
# install vampire binary
wget https://github.com/vprover/vampire/releases/download/v4.7/vampire4.7.zip -O vampire.zip
unzip vampire.zip
# then use vampire_z3_rel_static_HEAD_6295 as an argument or add it to $PATH

All the tests in this package are doctests. One can run them with the following command:

pytest --doctest-modules gym-saturation

To check the code quality before creating a pull request, one might run the script local-build.sh. It locally does nearly the same as the CI pipeline after the PR is created.

Reporting issues or problems with the software

Questions and bug reports are welcome on the tracker.

More documentation

More documentation can be found here.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gym_saturation-0.7.0.tar.gz (24.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gym_saturation-0.7.0-py3-none-any.whl (31.4 kB view details)

Uploaded Python 3

File details

Details for the file gym_saturation-0.7.0.tar.gz.

File metadata

  • Download URL: gym_saturation-0.7.0.tar.gz
  • Upload date:
  • Size: 24.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.10.4 Linux/5.19.0-31-generic

File hashes

Hashes for gym_saturation-0.7.0.tar.gz
Algorithm Hash digest
SHA256 34ee2d1ab72adadd4c5b43afeec1c4810aa57577c00d4827d1c3edc98f0b4d7b
MD5 69f6a1015d6e84de1470889016a9340b
BLAKE2b-256 f5c2bd172082ad9e91d7b96fb941ef8ee14d1f30eaf4c9b3d3318fc039680ab8

See more details on using hashes here.

File details

Details for the file gym_saturation-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: gym_saturation-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 31.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.10.4 Linux/5.19.0-31-generic

File hashes

Hashes for gym_saturation-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 abb6302b20e43545e5d6219d5d57268cfeebe5a1c9e3fbaec86ad3cc86c495d3
MD5 d934528d2ed603c42d3ab81ea78445f7
BLAKE2b-256 d84e15e746bdbab26718f0bf26611222e0a790365244c17bd5215366cb3c7108

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page