PythonCDT
Python bindings for CDT: C++ library for constrained Delaunay triangulation implemented with pybind11
If PythonCDT helped you please consider adding a star on GitHub. This means a lot to the authors 🤩
Installation
pip install pythoncdt
Wheels are published for Linux, macOS and Windows.
Building from source
Building needs a C++17 compiler; pip fetches pybind11, and CMake if it is missing.
git clone --recurse-submodules https://github.com/artem-ogre/PythonCDT.git
cd PythonCDT
pip install . --group test # needs pip 25.1+
pytest
Before committing, install the pre-commit hooks with pre-commit install: CI runs the same checks.
Usage examples
Constrained triangulation
import numpy as np
import pythoncdt as cdt
vertices = np.array([[0.0, 0.0], [1.0, 0.0], [1.0, 1.0], [0.0, 1.0], [0.4, 0.4]])
edges = np.array([[0, 1], [1, 2], [2, 3], [3, 0]], dtype=np.uintc)
t = cdt.Triangulation(cdt.VertexInsertionOrder.AUTO, cdt.IntersectingConstraintEdges.TRY_RESOLVE, 0.0)
t.insert_vertices(vertices)
t.insert_edges(edges)
t.erase_outer_triangles_and_holes()
vv = t.vertices_array() # numpy array with fields 'x' and 'y'
tt = t.triangles_array() # numpy array with fields 'vertices' and 'neighbors'
tt["vertices"] # (T, 3) vertex indices into vv
Notes
vertices_array()andtriangles_array()return copies. Withcopy=Falsethey return read-only views of the triangulation's memory instead; a view is invalidated by any call that modifies the triangulation.
Conforming triangulation
t = cdt.Triangulation(cdt.VertexInsertionOrder.AUTO, cdt.IntersectingConstraintEdges.TRY_RESOLVE, 0.0)
t.insert_vertices(vertices)
t.conform_to_edges(edges)
t.erase_outer_triangles_and_holes()
Notes
conform_to_edges()splits the constraint edges as needed, instead of keeping them as they are.
Refined triangulation
t = cdt.Triangulation(cdt.VertexInsertionOrder.AUTO, cdt.IntersectingConstraintEdges.TRY_RESOLVE, 0.0)
t.insert_vertices(vertices)
t.insert_edges(edges)
to_erase = t.collect_outer_triangles_and_holes()
unrefined = t.refine_triangles(1000, cdt.RefinementCriterion.SMALLEST_ANGLE, cdt.deg_to_rad(20.0), to_erase)
t.finalize_triangulation(to_erase)
Notes
refine_triangles()improves the shape of the triangles by inserting new points (Steiner points). It must be called before the triangulation is finalized: collect the triangles to remove first so that they are not refined, then remove them withfinalize_triangulation()(the set is updated in place).- Some places can not be refined: e.g., a sharp angle between two constraint edges comes from the input and can not be
made any larger.
refine_triangles()returns the counts of such refinements;find_unrefined_triangles()andfind_encroached_fixed_edges()locate them in the resulting triangulation.
Threads
Triangulating releases the GIL, so separate triangulations can be built in parallel on Python threads.
One triangulation can be shared between threads: calls on it wait for each other.
Iterators (*_iter()) and copy=False views are not protected: don't use them while another thread modifies the triangulation.
License
Mozilla Public License, v. 2.0
Bundled CDT includes third-party code under other licenses:
predicates.h: BSD-3-Clause, see LICENSE-predicates.txtportable_nth_element.hpp: Apache-2.0 WITH LLVM-exception, see LICENSE-LLVM.txt
Contributors
- SioulisChris: fixing the tests on Windows
- sccolbert: reading the triangulation back as numpy arrays, releasing the GIL
- mdealencar: packaging for PyPI
- aidannewsome: free-threading support, building wheels for PyPI
1 maintainer
Metadata
1 maintainer
Release files for pythoncdt 2.0.2
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