gridap/Gridap.jl
Jan 2025 – Jan 2025
1 Month active
Languages Used
JuliaMarkdown
Technical Skills
API DesignCode RefactoringComputational GeometryDocumentationFinite Element MethodFinite Element Methods
RAPPAPORT Ari
PROFILE
Rappaport Ari
Ari Rappaport enhanced the Gridap.jl repository by consolidating tangent and rotated normal vector computations for 2D and 3D triangulations, streamlining the API and improving maintainability. He introduced new helper functions, such as get_tangent_vector and get_normal_or_tangent_vector, to unify and simplify vector retrieval across cell boundaries. Working primarily in Julia and Markdown, Ari focused on computational geometry and numerical methods, expanding test coverage to validate the new features’ numerical behavior. By removing redundant edge tangent APIs and updating documentation, he improved API consistency and onboarding, delivering more robust geometry utilities for Gridap.jl users and downstream integrations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
247
Activity Months1
Your Network
92 people
Work History
January 2025
6 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01: Implemented consolidated tangent and rotated normal vector support for triangulations (2D/3D) with API cleanup and tests; introduced get_tangent_vector and a common get_normal_or_tangent_vector helper; added 2D rotated normals; removed redundant edge tangent API; updated release notes (NEWS.md). This work enhances API consistency, test coverage, and maintainability for Gridap.jl users and downstream integrations.
6 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01: Implemented consolidated tangent and rotated normal vector support for triangulations (2D/3D) with API cleanup and tests; introduced get_tangent_vector and a common get_normal_or_tangent_vector helper; added 2D rotated normals; removed redundant edge tangent API; updated release notes (NEWS.md). This work enhances API consistency, test coverage, and maintainability for Gridap.jl users and downstream integrations.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture83.4%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JuliaMarkdown
Technical Skills
API DesignCode RefactoringComputational GeometryDocumentationFinite Element MethodFinite Element MethodsGeometry ProcessingNumerical AnalysisNumerical MethodsSoftware RefactoringSoftware TestingUnit Testing
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