Subaru-PFS/datamodel
Mar 2025 – Aug 2025
2 Months active
Languages Used
Python
Technical Skills
BitmaskingData ModelingFITS I/ONumPy
Kiyoto Yabe
PROFILE
Kiyoto Yabe
Kiyoyabe enhanced the Subaru-PFS/datamodel repository by developing robust guide star flag handling and bitmask decoding for the GuideStars data model. Using Python, NumPy, and FITS I/O, Kiyoyabe introduced a new flag attribute, updated constructors, and extended FITS file support to preserve catalog flag information, enabling more reliable AutoGuider workflows. Additionally, Kiyoyabe addressed a DeprecationWarning by modernizing GuideStars string dtypes, replacing legacy NumPy string formats to ensure forward compatibility and reduce log noise. The work demonstrated careful attention to data fidelity and maintainability, delivering targeted improvements that support both current operations and future data model evolution.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
101
Activity Months2
Your Network
7 peopleWork History
August 2025
1 Commits
Aug 1, 2025Monthly work summary for 2025-08: Remediated a DeprecationWarning in Subaru-PFS/datamodel by modernizing GuideStars string dtypes, replacing fixed-length numpy strings 'a7'/'a1' with '|S7'/'|S1'. This minimal-risk patch eliminates noisy warnings, improves forward compatibility with NumPy dtype changes, and lays groundwork for future data-model cleanups. Commit applied: 51ab376a577773595979de1b3f4bb9d7ae8db1d4 (Remove DeprecationWarning).
1 Commits
Aug 1, 2025Monthly work summary for 2025-08: Remediated a DeprecationWarning in Subaru-PFS/datamodel by modernizing GuideStars string dtypes, replacing fixed-length numpy strings 'a7'/'a1' with '|S7'/'|S1'. This minimal-risk patch eliminates noisy warnings, improves forward compatibility with NumPy dtype changes, and lays groundwork for future data-model cleanups. Commit applied: 51ab376a577773595979de1b3f4bb9d7ae8db1d4 (Remove DeprecationWarning).
August 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Enhanced the data model for guide star handling in Subaru-PFS/datamodel to support catalog flag information and bitmask decoding. Delivered a new GuideStars flag attribute, updated constructors and attribute access, extended FITS I/O to preserve flag data, and added the AutoGuiderStarMask IntFlag enum with decode_gs_bitmask to interpret these flags. These changes improve data fidelity and enable more reliable AutoGuider workflows downstream.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Enhanced the data model for guide star handling in Subaru-PFS/datamodel to support catalog flag information and bitmask decoding. Delivered a new GuideStars flag attribute, updated constructors and attribute access, extended FITS I/O to preserve flag data, and added the AutoGuiderStarMask IntFlag enum with decode_gs_bitmask to interpret these flags. These changes improve data fidelity and enable more reliable AutoGuider workflows downstream.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
BitmaskingData ModelingFITS I/ONumPy
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