perf: 90% speedup via CGAL integration#174

Closed

jf--- wants to merge 27 commits into

compas-dev:masterfrom

jf---:jf/extend_cgal

Commits on Dec 9, 2025

Modernize project for Python 3.9+ and COMPAS 2.x
jf---
committed
Add type hints to core geometry and slicer modules
jf---
committed
f-strings, ruff fixes, COMPAS 2.x API compat, fix circular imports
jf---
committed
fix COMPAS 2.x API: edge_faces, fix circular imports
jf---
committed
COMPAS 2.x serialization: __data__ and __from_data__ API
jf---
committed
fix mypy errors: direct imports, type annotations, mypy config
jf---
committed
refactor: replace dicts with dataclasses throughout codebase
jf---
committed
unify deps: environment.yml only, prefer conda
jf---
committed
use compas_libigl for geodesics/massmatrix, keep igl for cotmatrix/grad/cut
jf---
committed
refactor: replace igl with compas_libigl, drop libigl dep
jf---
committed
refactor: replace os.path with pathlib.Path
jf---
committed
add typed config module, type hints to slicers and print organizers
jf---
committed
type hints for parameters module, add min/max layer height defaults
jf---
committed
type hints utils.py, Path return for get_output_directory
jf---
committed
type hints post_processing, slice_utilities, planar_slicing
jf---
committed
type hints pre_processing main modules, update save_to_json sig
jf---
committed
type hints preprocessing_utils, print_organization_utilities
jf---
committed
add examples to test suite, add compas_cgal dep, fix compas 2.x compat
jf---
committed
perf: numpy vectorization + KDTree for hot loops
jf---
committed
fix up_vector serialization after smoothing
jf---
committed
unify rdp + add batch closest point, CGAL fallback
jf---
committed
perf: geodesic caching + vectorized contour finding
jf---
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add CGAL features: polygon offset, holes, remesh
jf---
committed
vectorize assign_interpolation_distance, 11s->9.7s
jf---
committed
simplify calculate_z_bounds
jf---
committed
switch geodesics default to heat_igl: 22s->3.4s (85%)
jf---
committed
add CGAL heat geodesics method option
jf---
committed

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perf: 90% speedup via CGAL integration#174

perf: 90% speedup via CGAL integration#174
jf--- wants to merge 27 commits into
compas-dev:masterfrom
jf---:jf/extend_cgal

Commits on Dec 9, 2025

Modernize project for Python 3.9+ and COMPAS 2.x

Add type hints to core geometry and slicer modules

f-strings, ruff fixes, COMPAS 2.x API compat, fix circular imports

fix COMPAS 2.x API: edge_faces, fix circular imports

COMPAS 2.x serialization: data and __from_data__ API

fix mypy errors: direct imports, type annotations, mypy config

refactor: replace dicts with dataclasses throughout codebase

unify deps: environment.yml only, prefer conda

use compas_libigl for geodesics/massmatrix, keep igl for cotmatrix/grad/cut

refactor: replace igl with compas_libigl, drop libigl dep

refactor: replace os.path with pathlib.Path

add typed config module, type hints to slicers and print organizers

type hints for parameters module, add min/max layer height defaults

type hints utils.py, Path return for get_output_directory

type hints post_processing, slice_utilities, planar_slicing

type hints pre_processing main modules, update save_to_json sig

type hints preprocessing_utils, print_organization_utilities

add examples to test suite, add compas_cgal dep, fix compas 2.x compat

perf: numpy vectorization + KDTree for hot loops

fix up_vector serialization after smoothing

unify rdp + add batch closest point, CGAL fallback

perf: geodesic caching + vectorized contour finding

add CGAL features: polygon offset, holes, remesh

vectorize assign_interpolation_distance, 11s->9.7s

simplify calculate_z_bounds

switch geodesics default to heat_igl: 22s->3.4s (85%)

add CGAL heat geodesics method option