pmgbergen/porepy
Nov 2024 – Jan 2025
3 Months active
Languages Used
Python
Technical Skills
Code MaintenanceCode OrganizationCode RefactoringDocumentationFinite Volume MethodsImport Management
Isak Hammer
PROFILE
Isak Hammer
Contributed to the pmgbergen/porepy repository by developing robust testing infrastructure and enhancing numerical modeling capabilities for scientific computing workflows. Over three months, delivered a Sneddon 2D functional test suite, a manufactured-solution framework for convergence studies, and API-level improvements for numerical constants management. Applied Python, Pytest, and numerical analysis techniques to improve code quality, type safety, and cross-environment compatibility. Refactored core modules for better maintainability, standardized imports, and clarified API symbols, supporting reliable feature delivery and easier onboarding. The work strengthened test coverage, reduced maintenance overhead, and enabled safer, faster iteration on numerical simulation features and bug fixes.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
40Total
Bugs
2
Commits
40
Features
10
Lines of code
2,678
Activity Months3
Your Network
17 peopleWork History
January 2025
30 Commits • 8 Features
Jan 1, 2025January 2025 (pmgbergen/porepy): Delivered a robust test and validation foundation, introduced a manufactured-solution framework for convergence studies, and advanced code quality and API clarity to support reliable delivery and easier onboarding. Outcomes include passing tests, improved cross-environment compatibility, and stronger type-safety for the Sneddon module, enabling safer refactors and faster feedback cycles for feature work and bug fixes.
30 Commits • 8 Features
Jan 1, 2025January 2025 (pmgbergen/porepy): Delivered a robust test and validation foundation, introduced a manufactured-solution framework for convergence studies, and advanced code quality and API clarity to support reliable delivery and easier onboarding. Outcomes include passing tests, improved cross-environment compatibility, and stronger type-safety for the Sneddon module, enabling safer refactors and faster feedback cycles for feature work and bug fixes.
January 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 — pmgbergen/porepy: Delivered a Sneddon 2D Functional Test Suite to strengthen reliability and coverage of 2D Sneddon modeling. Implemented a placeholder test file and a convergence-study script to validate numerical solutions against Sneddon's analytical solution across orientations and mesh refinements. This work enhances regression testing, reduces risk of regressions in 2D workflows, and supports CI readiness. Technologies demonstrated: Python scripting, test automation, numerical validation against analytical solutions, and robust commit-driven development.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 — pmgbergen/porepy: Delivered a Sneddon 2D Functional Test Suite to strengthen reliability and coverage of 2D Sneddon modeling. Implemented a placeholder test file and a convergence-study script to validate numerical solutions against Sneddon's analytical solution across orientations and mesh refinements. This work enhances regression testing, reduces risk of regressions in 2D workflows, and supports CI readiness. Technologies demonstrated: Python scripting, test automation, numerical validation against analytical solutions, and robust commit-driven development.
November 2024
8 Commits • 1 Features
Nov 1, 2024November 2024: Delivered API-level enhancements for numerical constants and protocol configuration in porepy, along with targeted codebase refactoring and test improvements. Public exposure of NumericalConstants in the API and integration into protocol handling were implemented, including ElasticModuli updated to rely on numerics.characteristic_displacement and the addition of a numerical constants management attribute. Concurrently, codebase refactoring standardized import paths for physics modules (SinglePhaseFlow, MomentumBalance, poromechanics) and updated divergence usage in tests to improve consistency and potential performance. These changes reduce maintenance burden, improve numerical configuration reliability, and lay a foundation for more robust experimentation with material parameters.
8 Commits • 1 Features
Nov 1, 2024November 2024: Delivered API-level enhancements for numerical constants and protocol configuration in porepy, along with targeted codebase refactoring and test improvements. Public exposure of NumericalConstants in the API and integration into protocol handling were implemented, including ElasticModuli updated to rely on numerics.characteristic_displacement and the addition of a numerical constants management attribute. Concurrently, codebase refactoring standardized import paths for physics modules (SinglePhaseFlow, MomentumBalance, poromechanics) and updated divergence usage in tests to improve consistency and potential performance. These changes reduce maintenance burden, improve numerical configuration reliability, and lay a foundation for more robust experimentation with material parameters.
November 2024
Activity
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Quality Metrics
Correctness89.4%
Maintainability90.6%
Architecture85.4%
Performance78.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Boundary Element MethodBug FixCode DocumentationCode FormattingCode MaintenanceCode OptimizationCode OrganizationCode ReadabilityCode RefactoringData StructuresDocumentationFinite Element MethodFinite Volume MethodsImport ManagementLibrary Development
Repositories Contributed To
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