hiddenSymmetries/simsopt
Nov 2024 – Nov 2024
1 Month active
Languages Used
PythonRST
Technical Skills
Bug FixingDocumentationNumPyPlasma PhysicsScientific ComputingSoftware Compatibility
Philipp Jurasic
PROFILE
Philipp Jurasic
Philipp Jurasic focused on stability and compatibility improvements for the hiddenSymmetries/simsopt repository, addressing three targeted bugs over the course of a month. He resolved issues in the SPEC module’s handling of symmetric configurations, ensuring correct boundary data assignment based on the stellsym attribute. To support NumPy 2.0, he updated the default lower bound for degrees of freedom, enhancing software compatibility and reliability for scientific computing workflows. Additionally, Philipp corrected documentation for quasisymmetry and least squares examples, clarifying the use of residuals. His work, primarily in Python and RST, improved user experience and reduced potential for misconfiguration.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
5Total
Bugs
3
Commits
5
Features
0
Lines of code
21
Activity Months1
Your Network
140 people
Work History
November 2024
5 Commits
Nov 1, 2024November 2024 monthly summary: stability and compatibility improvements for simsopt with targeted bug fixes and documentation enhancements. Delivered fixes focus on symmetric configuration handling, NumPy 2.0 compatibility, and clarifications in examples to prevent misusage. These changes reduce user error, improve cross-version reliability, and support longer-running research tasks.
5 Commits
Nov 1, 2024November 2024 monthly summary: stability and compatibility improvements for simsopt with targeted bug fixes and documentation enhancements. Delivered fixes focus on symmetric configuration handling, NumPy 2.0 compatibility, and clarifications in examples to prevent misusage. These changes reduce user error, improve cross-version reliability, and support longer-running research tasks.
November 2024
Activity
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Quality Metrics
Correctness96.0%
Maintainability100.0%
Architecture96.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonRST
Technical Skills
Bug FixingDocumentationNumPyPlasma PhysicsScientific ComputingSoftware CompatibilityTesting
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