lsst-ts/ts_wep
Feb 2026 – Feb 2026
1 Month active
Languages Used
MarkdownPython
Technical Skills
Python programmingalgorithm developmentdata processingdocumentationtechnical writing
Hurum Maksora Tohfa
PROFILE
Hurum Maksora Tohfa
Tian Tohfa contributed targeted improvements to the lsst-ts/ts_wep repository, focusing on the AiDonut algorithm’s reliability and user guidance. They addressed a bug in the AiDonutAlgorithm by refining the defocalType evaluation logic, ensuring accurate measurement by comparing the value attribute rather than the object directly. Alongside this, Tian enhanced documentation to clarify AiDonut’s default settings, reducing onboarding friction for new users. Their work involved Python programming, algorithm development, and technical writing, resulting in a concise, reviewable patch set. The changes delivered measurable value by improving both code correctness and documentation quality, aligning with established project standards and workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
5
Activity Months1
Your Network
24 peopleShared Repositories
14
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 – Consolidated reliability and clarity for AiDonut within lsst-ts/ts_wep. Delivered two focused changes: a bug fix to AiDonutAlgorithm defocalType evaluation and a documentation update clarifying default AiDonut behavior. These changes improve measurement accuracy and reduce onboarding friction, delivering measurable business value with minimal risk.
2 Commits • 1 Features
Feb 1, 2026February 2026 – Consolidated reliability and clarity for AiDonut within lsst-ts/ts_wep. Delivered two focused changes: a bug fix to AiDonutAlgorithm defocalType evaluation and a documentation update clarifying default AiDonut behavior. These changes improve measurement accuracy and reduce onboarding friction, delivering measurable business value with minimal risk.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Python programmingalgorithm developmentdata processingdocumentationtechnical writing
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