pyccel/psydac
Mar 2025 – Feb 2026
3 Months active
Languages Used
PythonYAML
Technical Skills
API DesignFinite Element MethodObject-Oriented ProgrammingRefactoringCode RefactoringDocumentation
Martin Campos Pinto
PROFILE
Martin Campos Pinto
Over three months, Campos contributed to the pyccel/psydac repository by refactoring the Finite Element Method API for clarity and maintainability, introducing renamed abstractions and helper properties to streamline user experience and future development. He enhanced field plotting to support both single and multi-patch fields, improving visualization consistency. Campos also updated documentation to clarify inner product behavior, aligning it with actual implementation and preparing for future enhancements. In addition, he improved CI/CD workflows and build dependencies using Python and YAML, addressing cross-platform compatibility issues and optimizing GCC flags for Apple and x86_64 architectures, resulting in more robust and reliable builds.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
3
Lines of code
2,018
Activity Months3
Your Network
6 peopleWork History
February 2026
2 Commits • 1 Features
Feb 1, 2026Month: 2026-02 — Summary of key activities and outcomes for pyccel/psydac: Key features delivered: - Continuous Integration and Build Dependencies Update: Updated CI to install h5py and petsc4py with latest setuptools compatibility, adjusted installation commands to clone latest versions from their repositories, and streamlined workflow triggers to better handle PR states for documentation and testing. Major bugs fixed: - CPU Architecture Compatibility Improvements for GCC: Refined CPU flags to enhance compatibility and performance on Apple M4 (ARM) and x86_64 architectures. Removed inexistent flag -mcpu=apple-m4, used -march=native, and added -mavx on x86_64; avoided -mtune=native. This fixes #568. Overall impact and accomplishments: - More robust cross-platform builds and CI reliability, reducing platform-specific build failures and enabling faster PR validation for docs and tests. The changes improve consistency between source builds and CI environments across Apple Silicon and Intel architectures, supporting smoother downstream integration and user deployments. Technologies/skills demonstrated: - CI/CD orchestration and workflow optimization, Python packaging and dependency management, cross-platform compiler flag tuning, and collaboration with maintainers to address architecture-specific issues.
2 Commits • 1 Features
Feb 1, 2026Month: 2026-02 — Summary of key activities and outcomes for pyccel/psydac: Key features delivered: - Continuous Integration and Build Dependencies Update: Updated CI to install h5py and petsc4py with latest setuptools compatibility, adjusted installation commands to clone latest versions from their repositories, and streamlined workflow triggers to better handle PR states for documentation and testing. Major bugs fixed: - CPU Architecture Compatibility Improvements for GCC: Refined CPU flags to enhance compatibility and performance on Apple M4 (ARM) and x86_64 architectures. Removed inexistent flag -mcpu=apple-m4, used -march=native, and added -mavx on x86_64; avoided -mtune=native. This fixes #568. Overall impact and accomplishments: - More robust cross-platform builds and CI reliability, reducing platform-specific build failures and enabling faster PR validation for docs and tests. The changes improve consistency between source builds and CI environments across Apple Silicon and Intel architectures, supporting smoother downstream integration and user deployments. Technologies/skills demonstrated: - CI/CD orchestration and workflow optimization, Python packaging and dependency management, cross-platform compiler flag tuning, and collaboration with maintainers to address architecture-specific issues.
February 2026
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for pyccel/psydac: Focused on clarifying inner product behavior in Dense module through a documentation update; no functional code changes introduced this month. The change improves API clarity and reduces potential misuse by end users, while laying groundwork for future enhancements (conjugation support).
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for pyccel/psydac: Focused on clarifying inner product behavior in Dense module through a documentation update; no functional code changes introduced this month. The change improves API clarity and reduces potential misuse by end users, while laying groundwork for future enhancements (conjugation support).
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for the pyccel/psydac repository focused on API clarity and plotting enhancements. Delivered a major FEM API refactor with renamed spaces and new helper properties, along with a compatibility update to plotting for single and multi-patch fields. The work improves API readability, maintainability, and user-facing visualization consistency, laying groundwork for future multi-patch features and easier onboarding for users and downstream teams. No major bug fixes reported for this period; changes concentrated on API stability and plotting UX.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for the pyccel/psydac repository focused on API clarity and plotting enhancements. Delivered a major FEM API refactor with renamed spaces and new helper properties, along with a compatibility update to plotting for single and multi-patch fields. The work improves API readability, maintainability, and user-facing visualization consistency, laying groundwork for future multi-patch features and easier onboarding for users and downstream teams. No major bug fixes reported for this period; changes concentrated on API stability and plotting UX.
March 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API DesignCI/CDCode RefactoringDocumentationFinite Element MethodGitObject-Oriented ProgrammingPythonRefactoringbackend developmentcross-platform developmentperformance optimization
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