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tataratat / splinepy

Library for prototyping spline geometries of arbitrary dimensions and degrees, and IGA
https://tataratat.github.io/splinepy
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v0.1.1 #442

Closed j042 closed 4 months ago

j042 commented 4 months ago

Overview

version update with bug fixes

Summary

coderabbitai[bot] commented 4 months ago

Walkthrough

The recent updates span multiple modules, focusing on improving spline handling in the splinepy library. The changes optimize and extend functionality for spline manipulation, introduce enhancements in file exports, elevate dependency versions, and refine integration and extraction methods. Significant upgrades include renaming a key element, refining periodic dimension support, optimizing calculations using Einstein summation, and enhancing dependency and version controls for better compatibility and performance.

Changes

Files/Modules Change Summary
splinepy/io/cats.py Renamed knot vector key, improved support for periodic dimensions, added rational NURBS export option
tests/io/test_cats.py Updated tests for XML structure, indentation, added test for rational NURBS export
splinepy/helpme/integrate.py Replaced _np.sum with _np.einsum in parametric_function for optimization
tests/helpme/test_integrate.py Modified volume_function to incorporate a new scaling factor
splinepy/helpme/extract.py Changed split_plane handling to 1D array for better validation
pyproject.toml Updated description, dependencies, and Python version requirements
CMakeLists.txt Updated minimum CMake version and project version
splinepy/_version.py Incremented version number to 0.1.1

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant Splinepy
    participant ExportModule
    participant IntegrateModule

    User->>Splinepy: Call export() for NURBS
    Splinepy->>ExportModule: Prepare splines for NURBS export
    ExportModule-->Splinepy: Return NURBS-formed data
    Splinepy-->>User: Export complete

    User->>Splinepy: Call parametric_function()
    Splinepy->>IntegrateModule: Invoke with new einsum logic
    IntegrateModule-->Splinepy: Return optimized result
    Splinepy-->>User: Return optimized integration result

Poem

The spline paths shift and bend, New formats now we send, With periodic grace, And functions in their place, They integrate and blend. NURBS shall sail, On optimized eddies, we prevail! 🐇✨

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j042 commented 4 months ago

I think dependency update belong to a minor release, but as we forgot to update that last time, we will call it a bugfix