CPMpy/cpmpy
Dec 2024 – Feb 2026
11 Months active
Languages Used
PythonMarkdownreStructuredTextRSTJupyter Notebook
Technical Skills
Bug FixingCode OrganizationConstraint ProgrammingDependency ManagementOptimizationPython
Tias Guns
PROFILE
Tias Guns
Tias worked extensively on the CPMpy/cpmpy repository, delivering new features, performance optimizations, and documentation improvements across constraint programming and optimization workflows. He enhanced solver integration by adding support for RC2 MaxSAT and Hexaly, improved model-building APIs, and introduced transformations like Int2Bool to expand encoding capabilities. Using Python, Pandas, and Plotly, Tias developed end-to-end predictive optimization notebooks and job-shop scheduling examples, combining data generation, machine learning, and visualization. His work included robust error handling, code refactoring, and comprehensive documentation updates, resulting in a more maintainable codebase and smoother onboarding for contributors, while supporting scalable, reliable optimization solutions.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
39Total
Bugs
5
Commits
39
Features
17
Lines of code
5,283
Activity Months11
Your Network
7 people
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for CPMpy/cpmpy focusing on user-centric quality improvements and tuning workflow enhancements. Key changes targeted better error visibility for type validation and more controllable tuning output to accelerate debugging and experimentation.
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for CPMpy/cpmpy focusing on user-centric quality improvements and tuning workflow enhancements. Key changes targeted better error visibility for type validation and more controllable tuning output to accelerate debugging and experimentation.
February 2026
January 2026
8 Commits • 1 Features
Jan 1, 2026January 2026 CPMpy/cpmpy monthly summary: Expanded the solver ecosystem to support more complex optimization workflows while improving reliability and documentation. Delivered feature-oriented enhancements with RC2 MaxSAT integration and Hexaly as a global optimization solver, along with comprehensive solver documentation and guidance for incremental solving. Strengthened test reliability and dependency handling to reduce CI noise and improve production stability. These efforts reduce onboarding friction for users, enable larger-scale solving tasks, and position the project for broader adoption in optimization use cases.
January 2026
8 Commits • 1 Features
Jan 1, 2026January 2026 CPMpy/cpmpy monthly summary: Expanded the solver ecosystem to support more complex optimization workflows while improving reliability and documentation. Delivered feature-oriented enhancements with RC2 MaxSAT integration and Hexaly as a global optimization solver, along with comprehensive solver documentation and guidance for incremental solving. Strengthened test reliability and dependency handling to reduce CI noise and improve production stability. These efforts reduce onboarding friction for users, enable larger-scale solving tasks, and position the project for broader adoption in optimization use cases.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered an end-to-end surgery scheduling prediction and optimization notebook in CPMpy/cpmpy, demonstrating predicting surgery durations via linear and quantile regression on synthetic data and applying these predictions to solve the Daily Surgical Case Assignment Problem (DAP) with CPMpy, including Gantt chart visualizations. Commit: 5a87c5ec464394a952b166f93076788f70f4e2ce. The work enhances planning under uncertainty, improves operating room utilization, and provides a reusable notebook for predictive + optimization workflows.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered an end-to-end surgery scheduling prediction and optimization notebook in CPMpy/cpmpy, demonstrating predicting surgery durations via linear and quantile regression on synthetic data and applying these predictions to solve the Daily Surgical Case Assignment Problem (DAP) with CPMpy, including Gantt chart visualizations. Commit: 5a87c5ec464394a952b166f93076788f70f4e2ce. The work enhances planning under uncertainty, improves operating room utilization, and provides a reusable notebook for predictive + optimization workflows.
October 2025
September 2025
2 Commits • 2 Features
Sep 1, 20252025-09 Monthly Summary for CPMpy/cpmpy: Delivered two key features focusing on documentation quality and solver performance/efficiency. No major bugs fixed this month. Business impact: improved onboarding through clearer solver capabilities and faster, more scalable objective construction via CSE reuse. Technologies demonstrated: documentation best practices, Python code changes, new tests, and cross-template integration. Commit highlights: d8d3a2d0f78438aa0f0da6909d74b5a505b5f8a5; 339622a73fa02755b49a80e30a84ff789f90ea62.
September 2025
2 Commits • 2 Features
Sep 1, 20252025-09 Monthly Summary for CPMpy/cpmpy: Delivered two key features focusing on documentation quality and solver performance/efficiency. No major bugs fixed this month. Business impact: improved onboarding through clearer solver capabilities and faster, more scalable objective construction via CSE reuse. Technologies demonstrated: documentation best practices, Python code changes, new tests, and cross-template integration. Commit highlights: d8d3a2d0f78438aa0f0da6909d74b5a505b5f8a5; 339622a73fa02755b49a80e30a84ff789f90ea62.
August 2025
5 Commits • 2 Features
Aug 1, 2025Monthly performance summary for CPMpy/cpmpy for 2025-08 focusing on feature delivery and documentation improvements. Core delivery includes the Int2Bool transformation feature, expanding PySAT solver capabilities, along with comprehensive documentation updates to improve onboarding, benchmarking notes, and installation instructions. No major bugs fixed this month; stability maintained through targeted tests and code reviews.
5 Commits • 2 Features
Aug 1, 2025Monthly performance summary for CPMpy/cpmpy for 2025-08 focusing on feature delivery and documentation improvements. Core delivery includes the Int2Bool transformation feature, expanding PySAT solver capabilities, along with comprehensive documentation updates to improve onboarding, benchmarking notes, and installation instructions. No major bugs fixed this month; stability maintained through targeted tests and code reviews.
August 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for CPMpy/cpmpy focusing on documentation-driven improvements and solver discoverability.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for CPMpy/cpmpy focusing on documentation-driven improvements and solver discoverability.
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 CPMpy/cpmpy monthly summary: Focused on code cleanup and targeted performance improvements in core expression handling, delivering two key features and associated test updates. Results: leaner codebase, reduced dependencies, faster expression processing, and improved maintainability. Business value: lower maintenance costs and higher reliability in constraint solving workloads.
2 Commits • 2 Features
May 1, 2025May 2025 CPMpy/cpmpy monthly summary: Focused on code cleanup and targeted performance improvements in core expression handling, delivering two key features and associated test updates. Results: leaner codebase, reduced dependencies, faster expression processing, and improved maintainability. Business value: lower maintenance costs and higher reliability in constraint solving workloads.
May 2025
April 2025
10 Commits • 4 Features
Apr 1, 2025April 2025 CPMpy/cpmpy: Delivered significant API enhancements, a practical new job-shop scheduling example, and robust documentation and explanation tooling, accompanied by a critical scheduling constraint bug fix. These updates improve model-building speed, solver visibility, and onboarding, while reinforcing scheduling reliability and transparency in runtimes and behavior.
April 2025
10 Commits • 4 Features
Apr 1, 2025April 2025 CPMpy/cpmpy: Delivered significant API enhancements, a practical new job-shop scheduling example, and robust documentation and explanation tooling, accompanied by a critical scheduling constraint bug fix. These updates improve model-building speed, solver visibility, and onboarding, while reinforcing scheduling reliability and transparency in runtimes and behavior.
March 2025
3 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — CPMpy/cpmpy Documentation Improvements (README) delivered to enhance developer onboarding and ecosystem clarity. The primary deliverable was a comprehensive README overhaul: restructuring, badges, a centered header, expanded CPMpy description with features and ecosystem, refined introductory text, clarified feature descriptions, updated links, and a clearer, example-driven explanation of the Incremental solving feature. Major bugs fixed: none reported during this month; focus was on documentation quality and clarity. Overall impact: improved onboarding for new contributors and users, stronger alignment with the CPMpy ecosystem, and higher-quality documentation to support adoption and future feature work. Technologies/skills demonstrated: technical writing, Markdown/Docs best practices, version control discipline, and documentation-driven product quality.
3 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — CPMpy/cpmpy Documentation Improvements (README) delivered to enhance developer onboarding and ecosystem clarity. The primary deliverable was a comprehensive README overhaul: restructuring, badges, a centered header, expanded CPMpy description with features and ecosystem, refined introductory text, clarified feature descriptions, updated links, and a clearer, example-driven explanation of the Incremental solving feature. Major bugs fixed: none reported during this month; focus was on documentation quality and clarity. Overall impact: improved onboarding for new contributors and users, stronger alignment with the CPMpy ecosystem, and higher-quality documentation to support adoption and future feature work. Technologies/skills demonstrated: technical writing, Markdown/Docs best practices, version control discipline, and documentation-driven product quality.
March 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 CPMpy/cpmpy monthly summary focusing on performance and maintainability improvements. Implemented an NDVarArray performance enhancement by moving integer and boolean dtype casting from __getitem__ to __init__, reducing redundant type checks and casts during item retrieval. This change speeds up data access for large datasets and clarifies the initialization path, laying groundwork for further throughput improvements. No major bug fixes were reported this month; primary impact comes from performance optimization and code maintainability. This work demonstrates strong Python optimization, refactoring, and commit-tracked development that supports scalable data workflows in CPMpy.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 CPMpy/cpmpy monthly summary focusing on performance and maintainability improvements. Implemented an NDVarArray performance enhancement by moving integer and boolean dtype casting from __getitem__ to __init__, reducing redundant type checks and casts during item retrieval. This change speeds up data access for large datasets and clarifies the initialization path, laying groundwork for further throughput improvements. No major bug fixes were reported this month; primary impact comes from performance optimization and code maintainability. This work demonstrates strong Python optimization, refactoring, and commit-tracked development that supports scalable data workflows in CPMpy.
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024 CPMpy/cpmpy monthly summary focusing on key correctness fixes, performance improvements, and code quality enhancements. Delivered targeted changes in Gurobi integration, stabilized test behavior, and refactored reification and imports to boost speed and maintainability. These efforts improve reliability of optimization workflows and reduce CI flakiness while strengthening the library's architecture.
4 Commits • 1 Features
Dec 1, 2024December 2024 CPMpy/cpmpy monthly summary focusing on key correctness fixes, performance improvements, and code quality enhancements. Delivered targeted changes in Gurobi integration, stabilized test behavior, and refactored reification and imports to boost speed and maintainability. These efforts improve reliability of optimization workflows and reduce CI flakiness while strengthening the library's architecture.
December 2024
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Quality Metrics
Correctness95.6%
Maintainability95.4%
Architecture94.8%
Performance93.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPythonRSTreStructuredText
Technical Skills
API DesignAPI DocumentationAlgorithm DesignBug FixingCode OrganizationCode RefactoringConstraint ProgrammingData GenerationData VisualizationDependency ManagementDocumentationError HandlingMachine LearningModel TransformationNumPy
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