pmgbergen/porepy
Oct 2024 – Oct 2025
13 Months active
Languages Used
PythonMarkdownNumPySciPyYAMLC++TextDockerfile
Technical Skills
Code CommentingCode RefactoringDocumentationNumerical MethodsPerformance OptimizationAPI Refactoring
Eirik Keilegavlen
PROFILE
Eirik Keilegavlen
Eirik Keilegavlen led core engineering efforts on the pmgbergen/porepy repository, building and refining advanced grid generation, numerical simulation, and computational geometry tooling for porous media modeling. He applied Python and C++ to develop robust algorithms for grid orientation, mesh processing, and boundary condition handling, emphasizing maintainability and test-driven development. Eirik modernized the build system, unified APIs, and introduced performance optimizations such as caching and efficient sparse matrix operations. His work included extensive documentation, static typing, and CI/CD integration, resulting in a more reliable, extensible codebase. The depth of his contributions improved simulation accuracy, developer productivity, and long-term maintainability.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
465Total
Bugs
55
Commits
465
Features
161
Lines of code
108,483
Activity Months13
Your Network
31 people
Work History
October 2025
11 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) — Consolidated grid geometry integrity, test infrastructure, and maintainability for the porepy project (pmgbergen/porepy). Key outcomes include robust fixes to grid orientation for 2D simplex and tetrahedral grids, expanded test helpers and documentation around grid orientation and node ordering, and meaningful codebase hygiene improvements to support reliable operation and easier collaboration.
11 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) — Consolidated grid geometry integrity, test infrastructure, and maintainability for the porepy project (pmgbergen/porepy). Key outcomes include robust fixes to grid orientation for 2D simplex and tetrahedral grids, expanded test helpers and documentation around grid orientation and node ordering, and meaningful codebase hygiene improvements to support reliable operation and easier collaboration.
October 2025
September 2025
49 Commits • 16 Features
Sep 1, 2025September 2025 (2025-09) monthly summary for the porepy project. Delivered targeted performance enhancements, stability fixes, API refinements, and quality improvements that collectively increase reliability, developer velocity, and business value. Key outcomes include speedups in buoyancy discretization parameter updates, critical bug fixes ensuring geometry correctness and API consistency, API refactors for TPSA models, documentation and test maintenance to improve reliability, and CI/style improvements to accelerate development and reduce drift.
September 2025
49 Commits • 16 Features
Sep 1, 2025September 2025 (2025-09) monthly summary for the porepy project. Delivered targeted performance enhancements, stability fixes, API refinements, and quality improvements that collectively increase reliability, developer velocity, and business value. Key outcomes include speedups in buoyancy discretization parameter updates, critical bug fixes ensuring geometry correctness and API consistency, API refactors for TPSA models, documentation and test maintenance to improve reliability, and CI/style improvements to accelerate development and reduce drift.
August 2025
36 Commits • 16 Features
Aug 1, 2025In August 2025, the team delivered substantial enhancements to the Tpsa integration in the porepy repository (pmgbergen/porepy). Key work included expanding the Tpsa test suite, fixing critical boundary discretization issues, integrating Tpsa-based constitutive laws into momentum balance and poromechanics, and exposing Tpsa as an Ad discretization, underpinned by extensive cross-model testing and documentation improvements. These efforts improved reliability, model validation coverage, and maintainability, delivering business value by strengthening numerical accuracy in boundary conditions, reducing debugging time, and enabling broader use of Tpsa across THM, momentum-balance, and poromechanics contexts.
36 Commits • 16 Features
Aug 1, 2025In August 2025, the team delivered substantial enhancements to the Tpsa integration in the porepy repository (pmgbergen/porepy). Key work included expanding the Tpsa test suite, fixing critical boundary discretization issues, integrating Tpsa-based constitutive laws into momentum balance and poromechanics, and exposing Tpsa as an Ad discretization, underpinned by extensive cross-model testing and documentation improvements. These efforts improved reliability, model validation coverage, and maintainability, delivering business value by strengthening numerical accuracy in boundary conditions, reducing debugging time, and enabling broader use of Tpsa across THM, momentum-balance, and poromechanics contexts.
August 2025
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for pmgbergen/porepy. Focused on stabilizing tests and maintaining reliability amid external meshing updates, with a concrete commit to reduce flakiness and improved CI stability.
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for pmgbergen/porepy. Focused on stabilizing tests and maintaining reliability amid external meshing updates, with a concrete commit to reduce flakiness and improved CI stability.
June 2025
7 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for pmgbergen/porepy. Highlights include documentation enhancements for clearer docstrings and flash argument parsing with vectorized input notes; performance improvements in Jacobian usage by reusing precomputed Jacobians and more efficient assembly; a bug fix guaranteeing CSC matrix output for Grid.cell_nodes; and a dependency stability measure pinning SciPy to a known compatible version (<1.16) to prevent issues. Delivered via commits such as 6f384288f74f73ff9f412cd44271668bec491002, 5fa0b3b97b438244cb7072d883177b18f595112b, d0c51c93dffd94d2726fd7fd4bd47ac862f2aa69, 9fd1bd3aad734f535958c9a0887aa96245384e6d, 83e73c46363caae5ddb7580037dbdcc1e0b8065f, 716753956deda4f1e2e63a1fcee9f13babf13862, 4da3542660043145c2d8717dc38a125a8eacf1d3.
7 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for pmgbergen/porepy. Highlights include documentation enhancements for clearer docstrings and flash argument parsing with vectorized input notes; performance improvements in Jacobian usage by reusing precomputed Jacobians and more efficient assembly; a bug fix guaranteeing CSC matrix output for Grid.cell_nodes; and a dependency stability measure pinning SciPy to a known compatible version (<1.16) to prevent issues. Delivered via commits such as 6f384288f74f73ff9f412cd44271668bec491002, 5fa0b3b97b438244cb7072d883177b18f595112b, d0c51c93dffd94d2726fd7fd4bd47ac862f2aa69, 9fd1bd3aad734f535958c9a0887aa96245384e6d, 83e73c46363caae5ddb7580037dbdcc1e0b8065f, 716753956deda4f1e2e63a1fcee9f13babf13862, 4da3542660043145c2d8717dc38a125a8eacf1d3.
June 2025
May 2025
17 Commits • 3 Features
May 1, 2025May 2025 monthly summary for pmgbergen/porepy. Delivered targeted bug fixes, major test infrastructure improvements, and CI/CD/tooling enhancements that strengthen numerical correctness, reliability, and maintainability. These efforts reduce runtime risk in simulations, improve developer productivity, and position the project for future deprecation and platform upgrades.
May 2025
17 Commits • 3 Features
May 1, 2025May 2025 monthly summary for pmgbergen/porepy. Delivered targeted bug fixes, major test infrastructure improvements, and CI/CD/tooling enhancements that strengthen numerical correctness, reliability, and maintainability. These efforts reduce runtime risk in simulations, improve developer productivity, and position the project for future deprecation and platform upgrades.
April 2025
24 Commits • 14 Features
Apr 1, 2025April 2025 monthly summary for the porepy project (pmgbergen/porepy). Focused on increasing code quality, API hygiene, and feature capability while stabilizing the test base and deprecating legacy components. Delivered measurable business value through improved reliability, maintainability, and extensibility in core geometry and grid tooling. Key features delivered: - Added typing for msh_2_grid to enable better static analysis and early error detection. (Commit: 63345a358125f68c41e871eb2fe57f8b42edbbb0) - Stabilized tests for msh_2_grid 2D domains with cleanup and fixes to ensure robust test coverage. (Commits: c19051fb011fae2aea51ff7bc360a429b6e30dd3; af8d348df00df4135af59e6eae53f80a9493700b) - Periodic boundary conditions support added to the TPFA solver, expanding boundary condition capabilities. (Commit: beb88b1e5ed789e2886542a8b468a30ce13dbbd4) - Codebase refactoring to improve organization and clarity: moved sort_points into the geometry package and moved sort_points_on_line into the sort_points module. (Commits: e20f0ac8f042e48ed04ebf8d6bcf51dd515601c9; 013afad54fc2e923cb279f204520fd0a39ad769d); accompanying documentation cleanup and code review-driven variable naming standardization. (Commits: 913f2fcebe4c4a14b9f551a95ced77301f1ba393; 7c49ce7932cfb05b516a3c30a864068f60d70c2a) Major bugs fixed: - Tetrahedral generation from Gmsh: ensure 2D input yields a 1D array, correcting data shape for downstream processing. (Commit: 54f02cecb5ae3a88652d83fb63a392a557e2c787) - Fix typing issues in msh_2_grid to ensure correct function typing across usage. (Commit: 724aea7c8206036ebc7108ce17f00f1a96629b0a) - Minor bug fix in sort_utils module to strengthen sorting utilities. (Commit: 08e0bf45a96ac2dffd164e8990c9ece0f46470e1) Overall impact and accomplishments: - Improved code quality, reliability, and maintainability through typing, refactors, and API hygiene. - Expanded feature capabilities with TPFA periodic BCs, enabling new modelling scenarios without API churn. - Strengthened testing discipline and consistency, reducing regression risk and speeding future development. - Reduced technical debt by deprecating outdated APIs and cleaning up legacy code paths as part of ongoing code health efforts. Technologies/skills demonstrated: - Python typing and static analysis integration for core functions. - Code organization and module refactoring for better maintainability. - Test-driven discipline with targeted cleanup and fixes for 2D domain testing. - API hygiene strategies including deprecations and removal of legacy components.
24 Commits • 14 Features
Apr 1, 2025April 2025 monthly summary for the porepy project (pmgbergen/porepy). Focused on increasing code quality, API hygiene, and feature capability while stabilizing the test base and deprecating legacy components. Delivered measurable business value through improved reliability, maintainability, and extensibility in core geometry and grid tooling. Key features delivered: - Added typing for msh_2_grid to enable better static analysis and early error detection. (Commit: 63345a358125f68c41e871eb2fe57f8b42edbbb0) - Stabilized tests for msh_2_grid 2D domains with cleanup and fixes to ensure robust test coverage. (Commits: c19051fb011fae2aea51ff7bc360a429b6e30dd3; af8d348df00df4135af59e6eae53f80a9493700b) - Periodic boundary conditions support added to the TPFA solver, expanding boundary condition capabilities. (Commit: beb88b1e5ed789e2886542a8b468a30ce13dbbd4) - Codebase refactoring to improve organization and clarity: moved sort_points into the geometry package and moved sort_points_on_line into the sort_points module. (Commits: e20f0ac8f042e48ed04ebf8d6bcf51dd515601c9; 013afad54fc2e923cb279f204520fd0a39ad769d); accompanying documentation cleanup and code review-driven variable naming standardization. (Commits: 913f2fcebe4c4a14b9f551a95ced77301f1ba393; 7c49ce7932cfb05b516a3c30a864068f60d70c2a) Major bugs fixed: - Tetrahedral generation from Gmsh: ensure 2D input yields a 1D array, correcting data shape for downstream processing. (Commit: 54f02cecb5ae3a88652d83fb63a392a557e2c787) - Fix typing issues in msh_2_grid to ensure correct function typing across usage. (Commit: 724aea7c8206036ebc7108ce17f00f1a96629b0a) - Minor bug fix in sort_utils module to strengthen sorting utilities. (Commit: 08e0bf45a96ac2dffd164e8990c9ece0f46470e1) Overall impact and accomplishments: - Improved code quality, reliability, and maintainability through typing, refactors, and API hygiene. - Expanded feature capabilities with TPFA periodic BCs, enabling new modelling scenarios without API churn. - Strengthened testing discipline and consistency, reducing regression risk and speeding future development. - Reduced technical debt by deprecating outdated APIs and cleaning up legacy code paths as part of ongoing code health efforts. Technologies/skills demonstrated: - Python typing and static analysis integration for core functions. - Code organization and module refactoring for better maintainability. - Test-driven discipline with targeted cleanup and fixes for 2D domain testing. - API hygiene strategies including deprecations and removal of legacy components.
April 2025
March 2025
41 Commits • 14 Features
Mar 1, 2025March 2025 (2025-03) – Focused on delivering ArraySlicer enhancements in porepy, improving scalar broadcasting, projection integration, and performance, while strengthening CI/test automation and documentation. Key features include ArraySlicer broadcasting support and its integration with the projection operator/ad projections, alongside performance improvements and caching for constitutive laws and Darcy flux. Substantial maintenance work improved code quality (ruff/isort), expanded testing coverage, and updated documentation. Notable bug fixes addressed operator cache decorator signature alignment and the split_grid implementation, plus removal of outdated todos. Overall, the work delivered faster, more reliable simulations, easier onboarding, and a more maintainable codebase with better test coverage and docs.
March 2025
41 Commits • 14 Features
Mar 1, 2025March 2025 (2025-03) – Focused on delivering ArraySlicer enhancements in porepy, improving scalar broadcasting, projection integration, and performance, while strengthening CI/test automation and documentation. Key features include ArraySlicer broadcasting support and its integration with the projection operator/ad projections, alongside performance improvements and caching for constitutive laws and Darcy flux. Substantial maintenance work improved code quality (ruff/isort), expanded testing coverage, and updated documentation. Notable bug fixes addressed operator cache decorator signature alignment and the split_grid implementation, plus removal of outdated todos. Overall, the work delivered faster, more reliable simulations, easier onboarding, and a more maintainable codebase with better test coverage and docs.
February 2025
128 Commits • 36 Features
Feb 1, 2025February 2025 (2025-02) performance highlights focused on delivering business value through build-system modernization, code quality improvements, and substantial enhancements to the core computational stack (MatrixSlicer/Ad framework) along with API unification and improved test/documentation coverage. The work reduces maintenance burden, accelerates development cycles, and provides a more robust foundation for future features and performance work.
128 Commits • 36 Features
Feb 1, 2025February 2025 (2025-02) performance highlights focused on delivering business value through build-system modernization, code quality improvements, and substantial enhancements to the core computational stack (MatrixSlicer/Ad framework) along with API unification and improved test/documentation coverage. The work reduces maintenance burden, accelerates development cycles, and provides a more robust foundation for future features and performance work.
February 2025
January 2025
96 Commits • 37 Features
Jan 1, 2025January 2025 monthly recap for repository pmgbergen/porepy. Highlights center on unifying and accelerating the Ad mortar projection workflow across models, strengthening reliability via refactoring and caching, and elevating code quality and documentation. Key features delivered: - Ad mortar projections integrated across constitutive, energy, fluid mass, geometry, and momentum balance models, enabling a single, consistent projection pathway (representative commits include 6fc5832e, 9e113060, 4e4d72fc, dbc7c117, f6888323). - Refactoring and caching for Ad projections, with tests and fixes to improve performance and reduce recomputation (representative commits include bdaaca0d, 5a7e150c, 4ee24df6, 0b7e156b, 6df030a2). - Code quality and style improvements, including Black/flake8/mypy readiness and infrastructure updates to support robust development (representative commits include b92cad9f, b7467341). - Documentation improvements and test documentation cleanup for ad grid operators and projections (representative commits include 552519e1, c424e8e4). - Advancements in AdParser and EquationSystem integration, graph representations, and evaluation tooling, paving the way for joint evaluation and graph-based workflows (representative commits include 22527d7f, 0f33a6db, 11e7f925, 7038b47a). Major bugs fixed: - Ad mortar projection issues fixed to stabilize projection computations (a90a2c9f). - Bad type assertion in constitutive laws corrected to prevent runtime/type errors (829a54cc). - Ad mortar projection API updated to be implemented as a method, aligning with usage patterns and tests (d4bef7ad). - AdParser evaluation robustness fixes addressing crashes and operator-tree juggling (43c1dc34, 9c1d7c1a). - Matrix operations bug fix addressing scalar slices and related edge cases (3f1bbb48). Overall impact and accomplishments: - Delivered a unified Ad mortar projection workflow across multiple models, enabling consistent results and faster iteration. - Introduced caching and refactoring that reduce runtime, improve scalability, and make future enhancements safer and easier to test. - Strengthened the development lifecycle with enforced coding standards, typing readiness, and expanded documentation/tests, reducing risk in production deployments. - Laid groundwork for advanced AdParser capabilities, including joint evaluation, graph navigation, and robust caching, enabling more maintainable and extensible analysis pipelines. Technologies/skills demonstrated: - Python-centric software engineering, mypy typing, Black/flake8 linting, and CI/CD tooling updates. - Caching strategies and performance optimization in large-model projections. - NetworkX-based graph representations and AdParser architecture integration with EquationSystem. - Comprehensive testing, documentation, and code-review-driven improvements.
January 2025
96 Commits • 37 Features
Jan 1, 2025January 2025 monthly recap for repository pmgbergen/porepy. Highlights center on unifying and accelerating the Ad mortar projection workflow across models, strengthening reliability via refactoring and caching, and elevating code quality and documentation. Key features delivered: - Ad mortar projections integrated across constitutive, energy, fluid mass, geometry, and momentum balance models, enabling a single, consistent projection pathway (representative commits include 6fc5832e, 9e113060, 4e4d72fc, dbc7c117, f6888323). - Refactoring and caching for Ad projections, with tests and fixes to improve performance and reduce recomputation (representative commits include bdaaca0d, 5a7e150c, 4ee24df6, 0b7e156b, 6df030a2). - Code quality and style improvements, including Black/flake8/mypy readiness and infrastructure updates to support robust development (representative commits include b92cad9f, b7467341). - Documentation improvements and test documentation cleanup for ad grid operators and projections (representative commits include 552519e1, c424e8e4). - Advancements in AdParser and EquationSystem integration, graph representations, and evaluation tooling, paving the way for joint evaluation and graph-based workflows (representative commits include 22527d7f, 0f33a6db, 11e7f925, 7038b47a). Major bugs fixed: - Ad mortar projection issues fixed to stabilize projection computations (a90a2c9f). - Bad type assertion in constitutive laws corrected to prevent runtime/type errors (829a54cc). - Ad mortar projection API updated to be implemented as a method, aligning with usage patterns and tests (d4bef7ad). - AdParser evaluation robustness fixes addressing crashes and operator-tree juggling (43c1dc34, 9c1d7c1a). - Matrix operations bug fix addressing scalar slices and related edge cases (3f1bbb48). Overall impact and accomplishments: - Delivered a unified Ad mortar projection workflow across multiple models, enabling consistent results and faster iteration. - Introduced caching and refactoring that reduce runtime, improve scalability, and make future enhancements safer and easier to test. - Strengthened the development lifecycle with enforced coding standards, typing readiness, and expanded documentation/tests, reducing risk in production deployments. - Laid groundwork for advanced AdParser capabilities, including joint evaluation, graph navigation, and robust caching, enabling more maintainable and extensible analysis pipelines. Technologies/skills demonstrated: - Python-centric software engineering, mypy typing, Black/flake8 linting, and CI/CD tooling updates. - Caching strategies and performance optimization in large-model projections. - NetworkX-based graph representations and AdParser architecture integration with EquationSystem. - Comprehensive testing, documentation, and code-review-driven improvements.
December 2024
26 Commits • 10 Features
Dec 1, 2024December 2024 performance summary for pmgbergen/porepy. Focused on delivering reliable numerical methods, enhancing test coverage, and improving documentation and maintainability to support long-term business value and engineering velocity.
26 Commits • 10 Features
Dec 1, 2024December 2024 performance summary for pmgbergen/porepy. Focused on delivering reliable numerical methods, enhancing test coverage, and improving documentation and maintainability to support long-term business value and engineering velocity.
December 2024
November 2024
25 Commits • 9 Features
Nov 1, 2024Monthly performance summary for 2024-11 (pmgbergen/porepy): Focused on improving documentation quality, API stability, and test reliability for sustainable release readiness. Key features shipped include documentation improvements across FluidMixin and fluid_property_library, and an API redesign with tests for grid.cell_faces_as_dense; release readiness advanced through a version bump and concrete code-style and grid/documentation updates. Major bug fixes covered CI/pipeline reliability (GH Actions pytest on Python 3.10), corrected equality semantics in SolidConstants, 2D benchmark BC fixes, and removal of an unused pytest mark; tests and test structure were further strengthened (ad/mortar grid tests). Ongoing 1D grid refinement work was started, with additional test upgrades around mortar/ad grid projections. Overall impact: higher-quality documentation, more robust CI/QA, safer API changes, and a smoother release path enabling faster, safer development and deployment. Technologies/skills demonstrated: Python, Pytest, GitHub Actions CI, code style (Black), API design, grid operations, and test-driven development.
November 2024
25 Commits • 9 Features
Nov 1, 2024Monthly performance summary for 2024-11 (pmgbergen/porepy): Focused on improving documentation quality, API stability, and test reliability for sustainable release readiness. Key features shipped include documentation improvements across FluidMixin and fluid_property_library, and an API redesign with tests for grid.cell_faces_as_dense; release readiness advanced through a version bump and concrete code-style and grid/documentation updates. Major bug fixes covered CI/pipeline reliability (GH Actions pytest on Python 3.10), corrected equality semantics in SolidConstants, 2D benchmark BC fixes, and removal of an unused pytest mark; tests and test structure were further strengthened (ad/mortar grid tests). Ongoing 1D grid refinement work was started, with additional test upgrades around mortar/ad grid projections. Overall impact: higher-quality documentation, more robust CI/QA, safer API changes, and a smoother release path enabling faster, safer development and deployment. Technologies/skills demonstrated: Python, Pytest, GitHub Actions CI, code style (Black), API design, grid operations, and test-driven development.
October 2024
4 Commits • 2 Features
Oct 1, 20242024-10 monthly summary for pmgbergen/porepy focusing on performance improvements and documentation enhancements. Key features delivered include a faster grid diameter calculation implementation (refactored cell_diameters to support cell-wise calculations or aggregated results via a provided function) with updated tests, and comprehensive documentation cleanup for Fluid-related components (Fluid property library, FluidMixin, and MomentumBalance) to improve readability and clarify FluidMixin usage within momentum balance contexts. No explicit major bug fixes were recorded in this period; the work prioritized performance and maintainability. Technologies demonstrated include Python refactoring, test-driven development, and documentation best practices, delivering business value through faster simulations, improved onboarding, and reduced maintenance burden.
4 Commits • 2 Features
Oct 1, 20242024-10 monthly summary for pmgbergen/porepy focusing on performance improvements and documentation enhancements. Key features delivered include a faster grid diameter calculation implementation (refactored cell_diameters to support cell-wise calculations or aggregated results via a provided function) with updated tests, and comprehensive documentation cleanup for Fluid-related components (Fluid property library, FluidMixin, and MomentumBalance) to improve readability and clarify FluidMixin usage within momentum balance contexts. No explicit major bug fixes were recorded in this period; the work prioritized performance and maintainability. Technologies demonstrated include Python refactoring, test-driven development, and documentation best practices, delivering business value through faster simulations, improved onboarding, and reduced maintenance burden.
October 2024
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Quality Metrics
Correctness90.4%
Maintainability91.6%
Architecture85.8%
Performance83.0%
AI Usage20.4%
Skills & Technologies
Programming Languages
C++CythonDockerfileMarkdownNumPyPytestPythonSciPyShellTOML
Technical Skills
3D Grid SystemsAPI DesignAPI RefactoringAlgorithm DesignAlgorithm ExplanationAlgorithm OptimizationAutomatic DifferentiationBoundary ConditionsBug FixBug FixingBuild AutomationBuild ConfigurationBuild ManagementBuild System ConfigurationBuild Systems
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