scikit-hep/awkward
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
Array ManipulationCore DevelopmentData StructuresSoftware EngineeringTesting
Dylan Modesitt
PROFILE
Dylan Modesitt
Dylan Modesitt contributed to the scikit-hep/awkward repository by developing a stable field ordering mechanism for ak.with_field in Awkward Array records, ensuring that field order is preserved when adding or replacing fields. This work involved deep array manipulation and comprehensive testing to guarantee consistent behavior across operations. Additionally, Dylan addressed a bug in the propagation of the attrs parameter within from_* constructors used by wrap_layout, improving compatibility across numpy, cupy, dlpack, and jax backends. Using Python and leveraging expertise in data structures and software engineering, Dylan’s focused contributions enhanced both the stability and cross-backend consistency of the codebase.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
392
Activity Months1
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 — scikit-hep/awkward: Focused, high-impact contributions delivering a stable data model surface and improved cross-backend consistency. Key work centered on 1) stabilizing field ordering in ak.with_field for Awkward Array records, and 2) fixing attrs propagation in from_* constructors used by wrap_layout across numpy, cupy, dlpack, and jax, with expanded tests.
2 Commits • 1 Features
Oct 1, 2025October 2025 — scikit-hep/awkward: Focused, high-impact contributions delivering a stable data model surface and improved cross-backend consistency. Key work centered on 1) stabilizing field ordering in ak.with_field for Awkward Array records, and 2) fixing attrs propagation in from_* constructors used by wrap_layout across numpy, cupy, dlpack, and jax, with expanded tests.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Array ManipulationCore DevelopmentData StructuresSoftware EngineeringTesting
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