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Optimize polygonization and point data processing functions to significantly improve performance for large, irregular shape datasets.

The original implementation suffered from inefficient boundary computations, excessive global variable clearing, suboptimal gridding, and redundant calculations, leading to slow performance with large irregular inputs. This PR addresses these bottlenecks by introducing adaptive algorithms for boundary computation and interpolation, streamlining memory management, and modularizing file processing.


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Co-authored-by: bahman.abbassi <bahman.abbassi@uqat.ca>
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cursor bot commented Oct 9, 2025

Cursor Agent can help with this pull request. Just @cursor in comments and I'll start working on changes in this branch.
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cursoragent and others added 3 commits October 9, 2025 17:57
Co-authored-by: bahman.abbassi <bahman.abbassi@uqat.ca>
Co-authored-by: bahman.abbassi <bahman.abbassi@uqat.ca>
Co-authored-by: bahman.abbassi <bahman.abbassi@uqat.ca>
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3 participants