
Rick Lira Morgan enhanced the crystal indexing workflow in the dials/dials repository by refining the algorithm to return UB matrices in descending order based on the target number of candidate lattices. Using Python and leveraging skills in algorithm development and scientific computing, Rick replaced the deprecated min_lattices parameter with target_lattices, introducing deprecation warnings to guide users through the API transition. This work improved indexing reliability and clarified the API, reducing confusion and technical debt. Rick also co-authored a fix for pinkIndexer to align its output with the updated API, demonstrating collaborative development and careful attention to backward compatibility and user migration.
February 2026 monthly summary focused on delivering business value through reliable indexing improvements, API refinements, and robust collaboration. The work completed targeted the crystal indexing workflow in the dials/dials repository, with an emphasis on accuracy, stability, and a clear path for API evolution. Key features delivered and major bugs fixed: - Crystal indexing improvements and API refinement: Improved crystal model indexing accuracy by returning UB matrices in descending order relative to the target number of candidate lattices. Replaced the deprecated min_lattices parameter with target_lattices and added deprecation warnings to guide users through the API change, simplifying the interface and reducing user confusion. - Bug fix in pinkIndexer: Fixed pinkIndexer to return UB matrices in descending order (commit 7daf8c40ab095aaf2cf2bbf874fb8c5e81c32c13); co-authored-by James Beilsten-Edmands. This aligns the behavior with the updated API and improves downstream reproducibility. Overall impact and accomplishments: - Enhanced indexing reliability and API clarity, enabling more predictable crystal indexing workflows and smoother user migration to the new target_lattices parameter. - Reduced API debt by removing deprecated parameters and introducing explicit deprecation warnings, setting the stage for future improvements and cleaner integration across tools. - Demonstrated strong collaboration and code quality through a focused, co-authored fix that improves core functionality and user experience. Technologies/skills demonstrated: - Python-based feature engineering and API design, deprecation strategy, and backward-compatibility planning. - Reading and applying commit-level changes to ensure alignment with feature goals. - Collaborative development practices, evidenced by co-authorship on a key fix.
February 2026 monthly summary focused on delivering business value through reliable indexing improvements, API refinements, and robust collaboration. The work completed targeted the crystal indexing workflow in the dials/dials repository, with an emphasis on accuracy, stability, and a clear path for API evolution. Key features delivered and major bugs fixed: - Crystal indexing improvements and API refinement: Improved crystal model indexing accuracy by returning UB matrices in descending order relative to the target number of candidate lattices. Replaced the deprecated min_lattices parameter with target_lattices and added deprecation warnings to guide users through the API change, simplifying the interface and reducing user confusion. - Bug fix in pinkIndexer: Fixed pinkIndexer to return UB matrices in descending order (commit 7daf8c40ab095aaf2cf2bbf874fb8c5e81c32c13); co-authored-by James Beilsten-Edmands. This aligns the behavior with the updated API and improves downstream reproducibility. Overall impact and accomplishments: - Enhanced indexing reliability and API clarity, enabling more predictable crystal indexing workflows and smoother user migration to the new target_lattices parameter. - Reduced API debt by removing deprecated parameters and introducing explicit deprecation warnings, setting the stage for future improvements and cleaner integration across tools. - Demonstrated strong collaboration and code quality through a focused, co-authored fix that improves core functionality and user experience. Technologies/skills demonstrated: - Python-based feature engineering and API design, deprecation strategy, and backward-compatibility planning. - Reading and applying commit-level changes to ensure alignment with feature goals. - Collaborative development practices, evidenced by co-authorship on a key fix.

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