hiddenSymmetries/simsopt
Nov 2024 – Nov 2024
1 Month active
Languages Used
PythonRST
Technical Skills
Bug FixingDocumentationNumPyPlasma PhysicsScientific ComputingSoftware Compatibility
Philipp Jurasic
PROFILE
Philipp Jurasic
Worked on the hiddenSymmetries/simsopt repository to enhance software stability and compatibility, focusing on bug fixes and documentation improvements rather than new feature development. Addressed issues in the SPEC module by correcting boundary data handling for symmetric configurations, ensuring accurate behavior across different plasma physics scenarios. Updated the codebase for NumPy 2.0 compatibility by adjusting degrees of freedom bounds, which improved cross-version reliability. Clarified documentation for quasisymmetry and least squares examples to prevent user misinterpretation. Utilized Python and RST, applying skills in scientific computing, bug fixing, and testing to support long-running research tasks and reduce potential user errors.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
5Total
Bugs
3
Commits
5
Features
0
Lines of code
21
Activity Months1
Your Network
160 peopleShared Repositories
19
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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