Metadata-Version: 2.2
Name: pytetwild
Version: 0.2.2
Summary: Python wrapper of fTetWild
Author-Email: Alex Kaszynski <akascap@gmail.com>
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Python: <3.15,>=3.10
Requires-Dist: numpy
Provides-Extra: all
Requires-Dist: pyvista; extra == "all"
Provides-Extra: tests
Requires-Dist: pytest; extra == "tests"
Requires-Dist: pyvista; extra == "tests"
Requires-Dist: scipy<1.17.0; extra == "tests"
Requires-Dist: meshio; extra == "tests"
Provides-Extra: dev
Requires-Dist: pre-commit; extra == "dev"
Description-Content-Type: text/x-rst

pytetwild
#########

|pypi| |MPL|

.. |pypi| image:: https://img.shields.io/pypi/v/pytetwild.svg?logo=python&logoColor=white
   :target: https://pypi.org/project/pytetwild/

.. |MPL| image:: https://img.shields.io/badge/License-MPL%202.0-brightgreen.svg
   :target: https://opensource.org/license/mpl-2-0

``pytetwild`` is a Python library for mesh tetrahedralization. It is a
Python wrapper around the efficient C++ library for tetrahedral meshing provided by
`fTetWild <https://github.com/wildmeshing/fTetWild>`_.


Installation
************

We have pre-built wheels for Python 3.10 - Python 3.14 for Windows, Linux, and macOS.

The recommended way to install ``pytetwild`` is via PyPI:

.. code:: sh

   pip install pytetwild[all]

This installs ``pyvista`` by default, which you can use to tetrahedralize
sufrace meshes from PyVista. Alternatively you can just install with ``pip
install pytetwild`` for a lighter install.

You can also clone the repository and install it from source, but since there's
C++ involved, the build is a bit more complicated. See ``CONTRIBUTING.md`` for
more details.


Usage
*****

To tetrahedralize a surface mesh from `PyVista <https://docs.pyvista.org>`_,
you'll need to first install ``pyvista`` as it's not a dependency and then run:

.. code:: py

   import pyvista as pv
   import pytetwild

   # Load or create a PyVista PolyData surface mesh
   # Here, we'll create a simple sphere mesh as an example
   surface_mesh = pv.Icosphere(nsub=2)

   # Convert the surface mesh to a tetrahedral mesh. For this example let's
   # use a coarse mesh
   tetrahedral_mesh = pytetwild.tetrahedralize_pv(surface_mesh, edge_length_fac=1)

   # Visualize the tetrahedral mesh in an "exploded" view
   tetrahedral_mesh.explode(0.5).plot(
       show_edges=True, zoom=1.6, ssao=True, anti_aliasing="ssaa"
   )


.. image:: https://github.com/pyvista/pytetwild/raw/main/exploded-sphere.png

You can also work with raw arrays. Here's a simple cube that we turn into tetrahedra.

.. code:: py

   import numpy as np
   import pytetwild

   # Define vertices of the cube
   vertices = np.array([
       [0, 0, 0],  # Vertex 0
       [1, 0, 0],  # Vertex 1
       [1, 1, 0],  # Vertex 2
       [0, 1, 0],  # Vertex 3
       [0, 0, 1],  # Vertex 4
       [1, 0, 1],  # Vertex 5
       [1, 1, 1],  # Vertex 6
       [0, 1, 1]   # Vertex 7
   ])

   # Define faces using vertex indices
   # Each face is a rectangle (also accepts triangles)
   faces = np.array([
       [0, 1, 2, 3],  # Front face
       [1, 5, 6, 2],  # Right face
       [5, 4, 7, 6],  # Back face
       [4, 0, 3, 7],  # Left face
       [4, 5, 1, 0],  # Bottom face
       [3, 2, 6, 7]   # Top face
   ])
   v_out, tetra = pytetwild.tetrahedralize(vertices, faces, optimize=False)


Usage - Options
---------------
We've surfaced a several parameters to each of our interfaces
``tetrahedralize`` and ``tetrahedralize_pv``:

.. code::

    Parameters
    ----------
    edge_length_fac : float, default: 0.05
        Tetrahedral edge length as a function of bounding box diagonal. The
        default ideal edge length is ``bb/20`` (bounding box divided by
        20). Ignored when ``edge_length_abs`` is input.
    edge_length_abs : float, optional
        Absolute ideal edge length. When input ``edge_length_fac`` is ignored.
    optimize : bool, default: True
        Improve the minimum scaled Jacobean for each cell. This leads to higher
        cell quality at the expense of computation time. Optimization level is
        dependent on ``stop_energy`` and ``num_opt_iter``.
    simplify : bool, default: True
        Simplfiy the input mesh surface before tetrahedralization.
    epsilon : float, default 1e-3
        Envelop size, specifying the maximum distance of the output surface
        from the input surface, relative to the bounding box size.
    stop_energy : float, default: 10.0
        The mesh optimization stops when the conformal AMIPS energy reaches
        ``stop_energy``.
    coarsen : bool, default: False
        Coarsen the output as much as possible, while maintaining the mesh
        quality.
    num_threads : int, default: 0
        Set number of threads used. 0 (default) uses all available cores.
    num_opt_iter : int, default: 80
        Maximum number of optimization iterations if ``optimize=True``.
    loglevel : int, default: 6
        Set log level (0 = most verbose, 6 = minimal output).
    quiet : bool, default: False
        Disable all output. Overrides ``loglevel``.



License and Acknowledgments
***************************

This project relies on ``fTetWild`` and credit goes to the original authors for
their efficient C++ library for tetrahedral meshing. That work is licensed
under the Mozilla Public License v2.0.

The work in this repository is also licensed under the Mozilla Public License v2.0.

Support
*******

If you are having issues, please feel free to raise an `Issue
<https://github.com/pyvista/pytetwild/issues>`_.
