isabelle-client


Nameisabelle-client JSON
Version 0.6.0 PyPI version JSON
download
home_pagehttps://github.com/inpefess/isabelle-client
SummaryA client to Isabelle proof assistant server
upload_time2025-10-07 15:40:15
maintainerNone
docs_urlNone
authorBoris Shminke
requires_python<3.14,>=3.9.1
licenseNone
keywords tcp client isabelle proof assistant interactive theorem prover
VCS
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requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            |PyPI version|\ |Anaconda version|\ |CircleCI|\ |Documentation Status|\ |codecov|\ |DOI|

Python client for Isabelle server
=================================

``isabelle-client`` is a TCP client for
`Isabelle <https://isabelle.in.tum.de>`__ server. For more information
about the server see Chapter 4 of `the Isabelle system
manual <https://isabelle.in.tum.de/dist/Isabelle2025/doc/system.pdf#page=52>`__.

How to Install
==============

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

.. code:: sh

   pip install isabelle-client


Another option is to use Anaconda:

.. code:: sh
	  
   conda install -c conda-forge isabelle-client 

One can also download and run the client together with Isabelle in a
Docker contanier:

.. code:: sh

   docker build -t isabelle-client https://github.com/inpefess/isabelle-client.git
   docker run -d --rm -p 8888:8888 --name isabelle-client isabelle-client

And navigate to `example page <http://localhost:8888/lab/tree/isabelle-client-examples/example.ipynb>`__
in your browser.

How to use
==========

.. code:: python

   from isabelle_client import get_isabelle_client, start_isabelle_server
   
   # start Isabelle server
   server_info, _ = start_isabelle_server()
   # create a client object
   isabelle = get_isabelle_client(server_info)
   # send a theory file from the current directory to the server
   response = isabelle.use_theories(
       theories=["Example"], master_dir=".", watchdog_timeout=0
   )
   # shut the server down
   isabelle.shutdown()


For more details, follow the `usage example
<https://isabelle-client.readthedocs.io/en/latest/example.html>`__
from documentation or a `notebook
<https://github.com/inpefess/isabelle-client/blob/master/examples/example.ipynb>`__.


High-level connector
====================

You can also pass a theory file body (something you typically put
between ``begin`` and ``end`` keywords) to a high-level connector
that will generate a temporary file for you, send it to the Isabelle
server and get the result for you. For example, this snippet:

.. code:: python

   from isabelle_client.isabelle_connector import IsabelleConnector
   from isabelle_client.isabelle_connector import IsabelleTheoryError

   isabelle_connector = IsabelleConnector()
   try:
       isabelle_connector.build_theory(
           r'lemma "\<forall> x. \<forall> y. x = y"' "\nby auto"
       )
       print("Theory is validated!")
   except IsabelleTheoryError as error:
       print(error.args[0])


will produce something like:

.. code::

   : Failed to finish proof\<^here>:
   : goal (1 subgoal):
   :  1. \<And>x y. x = y

More documentation
==================

More documentation can be found
`here <https://isabelle-client.readthedocs.io/en/latest>`__.

Similar Software
================

There are Python clients to other interactive theorem provers, for
example:

* `for Lean
  <https://github.com/leanprover-community/lean-client-python>`__
* `for Coq <https://github.com/IBM/pycoq>`__
* `another one for Coq <https://github.com/ejgallego/pycoq>`__

Modules helping to inetract with Isabelle server from Python are
parts of the `Proving for Fun
<https://github.com/maxhaslbeck/proving-contest-backends>`__ project.

There are also clients to Isabelle server in other programming
languages, e.g. `this one in Rust
<https://lib.rs/crates/isabelle-client>`__.

Projects using the client
=========================

`isabelle-client` helped to build some cool LLM stuff (in reversed
chronological order):

* `StepProof: Step-by-step verification of natural language
  mathematical proofs (Hu et al.)
  <https://doi.org/10.48550/arXiv.2506.10558>`__ with `code
  <https://github.com/r1nIGa/STEP-PROOF>`__
* `HybridProver: Augmenting Theorem Proving with LLM-Driven Proof
  Synthesis and Refinement (Hu et al.)
  <https://doi.org/10.48550/arXiv.2505.15740>`__
* `Verification and Refinement of Natural Language Explanations
  through LLM-Symbolic Theorem Proving (Quan et al., EMNLP 2024)
  <https://doi.org/10.18653/v1/2024.emnlp-main.172>`__ with `code
  <https://github.com/neuro-symbolic-ai/explanation_refinement>`__

How to cite
===========

If you’re writing a research paper, you can cite the Isabelle client
using the `following DOI
<https://doi.org/10.1007/978-3-031-16681-5_24>`__. You can also cite
Isabelle 2021 (and an earlier version of the client) with `this DOI
<https://doi.org/10.1007/978-3-030-81097-9_20>`__. There also is a
somewhat more complete (but unpublished) `pre-print
<https://arxiv.org/abs/2212.11173>`__.

How to Contribute
=================

Please follow `the contribution guide <https://isabelle-client.readthedocs.io/en/latest/contributing.html>`__ while adhering to `the code of conduct <https://isabelle-client.readthedocs.io/en/latest/code-of-conduct.html>`__.


.. |PyPI version| image:: https://badge.fury.io/py/isabelle-client.svg
   :target: https://badge.fury.io/py/isabelle-client
.. |Anaconda version| image:: https://anaconda.org/conda-forge/isabelle-client/badges/version.svg
   :target: https://anaconda.org/conda-forge/isabelle-client
.. |CircleCI| image:: https://circleci.com/gh/inpefess/isabelle-client.svg?style=svg
   :target: https://circleci.com/gh/inpefess/isabelle-client
.. |Documentation Status| image:: https://readthedocs.org/projects/isabelle-client/badge/?version=latest
   :target: https://isabelle-client.readthedocs.io/en/latest/?badge=latest
.. |codecov| image:: https://codecov.io/gh/inpefess/isabelle-client/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/inpefess/isabelle-client
.. |DOI| image:: https://img.shields.io/badge/DOI-10.1007%2F978--3--031--16681--5__24-blue
   :target: https://doi.org/10.1007/978-3-031-16681-5_24

            

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    "description": "|PyPI version|\\ |Anaconda version|\\ |CircleCI|\\ |Documentation Status|\\ |codecov|\\ |DOI|\n\nPython client for Isabelle server\n=================================\n\n``isabelle-client`` is a TCP client for\n`Isabelle <https://isabelle.in.tum.de>`__ server. For more information\nabout the server see Chapter 4 of `the Isabelle system\nmanual <https://isabelle.in.tum.de/dist/Isabelle2025/doc/system.pdf#page=52>`__.\n\nHow to Install\n==============\n\nThe best way to install this package is to use ``pip``:\n\n.. code:: sh\n\n   pip install isabelle-client\n\n\nAnother option is to use Anaconda:\n\n.. code:: sh\n\t  \n   conda install -c conda-forge isabelle-client \n\nOne can also download and run the client together with Isabelle in a\nDocker contanier:\n\n.. code:: sh\n\n   docker build -t isabelle-client https://github.com/inpefess/isabelle-client.git\n   docker run -d --rm -p 8888:8888 --name isabelle-client isabelle-client\n\nAnd navigate to `example page <http://localhost:8888/lab/tree/isabelle-client-examples/example.ipynb>`__\nin your browser.\n\nHow to use\n==========\n\n.. code:: python\n\n   from isabelle_client import get_isabelle_client, start_isabelle_server\n   \n   # start Isabelle server\n   server_info, _ = start_isabelle_server()\n   # create a client object\n   isabelle = get_isabelle_client(server_info)\n   # send a theory file from the current directory to the server\n   response = isabelle.use_theories(\n       theories=[\"Example\"], master_dir=\".\", watchdog_timeout=0\n   )\n   # shut the server down\n   isabelle.shutdown()\n\n\nFor more details, follow the `usage example\n<https://isabelle-client.readthedocs.io/en/latest/example.html>`__\nfrom documentation or a `notebook\n<https://github.com/inpefess/isabelle-client/blob/master/examples/example.ipynb>`__.\n\n\nHigh-level connector\n====================\n\nYou can also pass a theory file body (something you typically put\nbetween ``begin`` and ``end`` keywords) to a high-level connector\nthat will generate a temporary file for you, send it to the Isabelle\nserver and get the result for you. For example, this snippet:\n\n.. code:: python\n\n   from isabelle_client.isabelle_connector import IsabelleConnector\n   from isabelle_client.isabelle_connector import IsabelleTheoryError\n\n   isabelle_connector = IsabelleConnector()\n   try:\n       isabelle_connector.build_theory(\n           r'lemma \"\\<forall> x. \\<forall> y. x = y\"' \"\\nby auto\"\n       )\n       print(\"Theory is validated!\")\n   except IsabelleTheoryError as error:\n       print(error.args[0])\n\n\nwill produce something like:\n\n.. code::\n\n   : Failed to finish proof\\<^here>:\n   : goal (1 subgoal):\n   :  1. \\<And>x y. x = y\n\nMore documentation\n==================\n\nMore documentation can be found\n`here <https://isabelle-client.readthedocs.io/en/latest>`__.\n\nSimilar Software\n================\n\nThere are Python clients to other interactive theorem provers, for\nexample:\n\n* `for Lean\n  <https://github.com/leanprover-community/lean-client-python>`__\n* `for Coq <https://github.com/IBM/pycoq>`__\n* `another one for Coq <https://github.com/ejgallego/pycoq>`__\n\nModules helping to inetract with Isabelle server from Python are\nparts of the `Proving for Fun\n<https://github.com/maxhaslbeck/proving-contest-backends>`__ project.\n\nThere are also clients to Isabelle server in other programming\nlanguages, e.g. `this one in Rust\n<https://lib.rs/crates/isabelle-client>`__.\n\nProjects using the client\n=========================\n\n`isabelle-client` helped to build some cool LLM stuff (in reversed\nchronological order):\n\n* `StepProof: Step-by-step verification of natural language\n  mathematical proofs (Hu et al.)\n  <https://doi.org/10.48550/arXiv.2506.10558>`__ with `code\n  <https://github.com/r1nIGa/STEP-PROOF>`__\n* `HybridProver: Augmenting Theorem Proving with LLM-Driven Proof\n  Synthesis and Refinement (Hu et al.)\n  <https://doi.org/10.48550/arXiv.2505.15740>`__\n* `Verification and Refinement of Natural Language Explanations\n  through LLM-Symbolic Theorem Proving (Quan et al., EMNLP 2024)\n  <https://doi.org/10.18653/v1/2024.emnlp-main.172>`__ with `code\n  <https://github.com/neuro-symbolic-ai/explanation_refinement>`__\n\nHow to cite\n===========\n\nIf you\u2019re writing a research paper, you can cite the Isabelle client\nusing the `following DOI\n<https://doi.org/10.1007/978-3-031-16681-5_24>`__. You can also cite\nIsabelle 2021 (and an earlier version of the client) with `this DOI\n<https://doi.org/10.1007/978-3-030-81097-9_20>`__. 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