newclid 3.0.1
Solver for plane geometric problems.
Requires Python: >=3.11

Newclid
=======

Newclid is an open-source, easy-to-use fast solver for plane geometry problems.

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Installation
------------

Using uv (recommended)
^^^^^^^^^^^^^^^^^^^^^^

Follow `uv installation instructions <https://docs.astral.sh/uv/getting-started/installation/>`_


.. code:: bash

  uv add newclid[yuclid]

Using pip
^^^^^^^^^

.. code:: bash

  pip install newclid[yuclid]


Building from source
^^^^^^^^^^^^^^^^^^^^

Follow `uv installation instructions <https://docs.astral.sh/uv/getting-started/installation/>`_


.. code:: bash

  git clone https://github.com/Newclid/Newclid.git
  cd Newclid
  uv sync

If you run into issues to build yuclid, you might need to set an environment variable like `CXX=/usr/bin/g++-14`, try adding environment variable that are present in `.env`.
If you still have issues, `submit an issue <https://github.com/Newclid/Newclid/issues>`_.



Quickstart
----------

To simply solve a problem using Newclid, use the command line.

For example with a JGEX problem:

.. code:: bash

  newclid jgex --problem-id orthocenter_consequence_aux --file ./problems_datasets/examples.txt

Or with a ggb problem:

.. code:: bash

  newclid ggb --file ./notebooks/ggb_exports/incenter.ggb --goals "eqangle C B B D B D B A"


See other command line interface options with:

.. code:: bash

  uv run newclid --help
  uv run newclid jgex --help
  uv run newclid ggb --help


For more complex applications, use the Python interface.
Below is a minimal example to build a problem setup from a JGEX string, then solve it:

.. code:: python

    from newclid import GeometricSolverBuilder, GeometricSolver
    import numpy as np

    # Set the random generator
    rng = np.random.default_rng()

    # Build the problem setup from JGEX string
    problem_setup = JGEXProblemBuilder(rng=rng).with_problem_from_txt(
      "a b c = triangle a b c; "
      "d = on_tline d b a c, on_tline d c a b; "
      "e = on_line e a c, on_line e b d "
      "? perp a d b c"
    ).build()

    # We now build the solver on the problem
    solver: GeometricSolver = GeometricSolverBuilder().build(problem_setup)

    # And run the solver
    success = solver.run()

    if success:
        print("Successfuly solved the problem! Proof:")
        solver.write_proof_steps()
    else:
        print("Failed to solve the problem...")

    print(f"Run infos {solver.run_infos}")

In the ``notebooks`` folder you will find more tutorials.
You can also check ``tests`` to see some more advanced examples of scripts using the Python interface.

Documentation
-------------

See `the online documentation <https://newclid.github.io/Newclid/>`_
for more detailed information about Newclid.


Contributing
------------

1. Clone the repository

.. code:: bash

  git clone https://github.com/Newclid/Newclid.git
  cd Newclid

2. Install uv

Follow `installation instructions <https://docs.astral.sh/uv/getting-started/installation/>`_

3. Install as an editable package with dev requirements

.. code:: bash

  uv sync

4. Install pre-commit and pre-push checks

.. code:: bash

  pre-commit install -t pre-commit -t pre-push


5. Run tests

.. code:: bash

  pytest tests


About Newclid
-------------------

Newclid is a successor to AlphaGeometry, introduced in this early 2024 Nature paper:
`Solving Olympiad Geometry without Human Demonstrations
<https://www.nature.com/articles/s41586-023-06747-5>`_. whose original codebase can be found `here <https://github.com/google-deepmind/alphageometry>`_.

If you found Newclid useful, please cite us as:

.. code:: bibtex

  @article{newclid2024sicca,
    author  = {Sicca, Vladmir and Xia, Tianxiang and F\'ed\'erico, Math\"is and Gorinski, Philip John and Frieder, Simon and Jui, Shangling},
    journal = {arXiv preprint},
    title   = {Newclid: A User-Friendly Replacement for AlphaGeometry with Agentic Support},
    year    = {2024}
  }


The AlphaGeometry checkpoints and vocabulary are made available
under the terms of the Creative Commons Attribution 4.0
International (CC BY 4.0) license.
You can find details at:
https://creativecommons.org/licenses/by/4.0/legalcode


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