CPMpy/cpmpy
Dec 2024 – Jun 2026
6 Months active
Languages Used
Python
Technical Skills
Code RefactoringConstraint ProgrammingData StructuresError HandlingPython Developmentconstraint programming
Dimos Tsouros
PROFILE
Dimos Tsouros
Over six months, contributed to the CPMpy/cpmpy repository by developing advanced constraint programming features and improving solver interoperability. Built support for multi-dimensional NDElement and MDD global constraints, enhancing modeling expressiveness and MiniZinc integration. Focused on backend reliability by refactoring core logic, standardizing boolean handling, and strengthening error management. Addressed edge cases in power and modulo linearization, improved array compatibility with NumPy, and enforced robust input validation across solver backends. Emphasized maintainability through comprehensive unit testing and code cleanup. Leveraged Python, NumPy, and SAT solver integration to deliver solutions that enable users to model complex optimization problems with greater confidence.
Overall Statistics
Feature vs Bugs
58%Features
Repository Contributions
13Total
Bugs
5
Commits
13
Features
7
Lines of code
1,512
Activity Months6
Your Network
8 peopleWork History
June 2026
3 Commits • 3 Features
Jun 1, 2026June 2026 CPMpy/cpmpy monthly summary — Delivered foundational modeling enhancements and interface improvements that broaden expressiveness, robustness, and cross-solver compatibility. Key achievements include introducing NDElement global constraint with multi-dimensional indexing, adding native MDD support in the MiniZinc interface, and standardizing boolean handling across the solver interface. These changes were accompanied by comprehensive test coverage and refactoring to improve maintainability and reliability, enabling users to model larger, more complex problems with confidence and ensuring smoother integration with MiniZinc workflows.
3 Commits • 3 Features
Jun 1, 2026June 2026 CPMpy/cpmpy monthly summary — Delivered foundational modeling enhancements and interface improvements that broaden expressiveness, robustness, and cross-solver compatibility. Key achievements include introducing NDElement global constraint with multi-dimensional indexing, adding native MDD support in the MiniZinc interface, and standardizing boolean handling across the solver interface. These changes were accompanied by comprehensive test coverage and refactoring to improve maintainability and reliability, enabling users to model larger, more complex problems with confidence and ensuring smoother integration with MiniZinc workflows.
June 2026
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 CPMpy/cpmpy focused on reliability, robustness, and solver interoperability. Key outcomes include improving CI stability by mitigating flaky tests, enhancing the SolverInterface with native model properties and better boolean handling, and hardening array handling to support both contiguous and non-contiguous inputs. These changes reduce maintenance costs, speed up feedback loops, and broaden solver coverage for production workloads.
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 CPMpy/cpmpy focused on reliability, robustness, and solver interoperability. Key outcomes include improving CI stability by mitigating flaky tests, enhancing the SolverInterface with native model properties and better boolean handling, and hardening array handling to support both contiguous and non-contiguous inputs. These changes reduce maintenance costs, speed up feedback loops, and broaden solver coverage for production workloads.
August 2025
1 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focused on strengthening core constraint linearization in CPMpy with robust handling of power and modulo operations, plus tests. The work targeted the CPMpy/cpmpy repository and improved solver reliability when encountering nonlinear expressions and modular arithmetic.
1 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focused on strengthening core constraint linearization in CPMpy with robust handling of power and modulo operations, plus tests. The work targeted the CPMpy/cpmpy repository and improved solver reliability when encountering nonlinear expressions and modular arithmetic.
August 2025
April 2025
3 Commits
Apr 1, 2025April 2025 CPMpy/cpmpy monthly summary focused on reliability and cross-solver robustness. Implemented key validations and constraint-handling improvements to drive stability, predictable behavior, and business value across solver backends.
April 2025
3 Commits
Apr 1, 2025April 2025 CPMpy/cpmpy monthly summary focused on reliability and cross-solver robustness. Implemented key validations and constraint-handling improvements to drive stability, predictable behavior, and business value across solver backends.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 CPMpy/cpmpy monthly summary: - Key features delivered: Power Constraint Linearization in CPMpy, enabling modeling of arbitrary powers with flattened output expressions; improves compatibility with Gurobi, OR-Tools, and Z3; includes tests and unsupported-case checks. - Major bugs fixed: No major defects closed this month. - Overall impact and accomplishments: Expands modeling capabilities for power-constrained problems, reduces solver integration friction, and enhances robustness and test coverage; enables broader adoption of CPMpy in production optimization. - Technologies/skills demonstrated: Python library development, solver interoperability, unit testing and test-driven improvements, commit traceability (example commit 0885bca8771f02c82261d368b674c827be34fb2e).
1 Commits • 1 Features
Jan 1, 2025January 2025 CPMpy/cpmpy monthly summary: - Key features delivered: Power Constraint Linearization in CPMpy, enabling modeling of arbitrary powers with flattened output expressions; improves compatibility with Gurobi, OR-Tools, and Z3; includes tests and unsupported-case checks. - Major bugs fixed: No major defects closed this month. - Overall impact and accomplishments: Expands modeling capabilities for power-constrained problems, reduces solver integration friction, and enhances robustness and test coverage; enables broader adoption of CPMpy in production optimization. - Technologies/skills demonstrated: Python library development, solver interoperability, unit testing and test-driven improvements, commit traceability (example commit 0885bca8771f02c82261d368b674c827be34fb2e).
January 2025
December 2024
2 Commits
Dec 1, 2024December 2024 (CPMpy/cpmpy): Focused on reliability and developer experience through targeted bug fixes that reduce downstream errors and improve maintainability. Implemented table constraint input normalization to ensure the 'table' argument is always a list, converting numpy arrays to lists to improve compatibility and prevent downstream errors. Refined exception messages and performed code cleanup to remove unused imports, yielding clearer guidance for users and a lighter codebase. These changes enhance runtime stability, ease debugging, and support smoother integration for downstream applications.
December 2024
2 Commits
Dec 1, 2024December 2024 (CPMpy/cpmpy): Focused on reliability and developer experience through targeted bug fixes that reduce downstream errors and improve maintainability. Implemented table constraint input normalization to ensure the 'table' argument is always a list, converting numpy arrays to lists to improve compatibility and prevent downstream errors. Refined exception messages and performed code cleanup to remove unused imports, yielding clearer guidance for users and a lighter codebase. These changes enhance runtime stability, ease debugging, and support smoother integration for downstream applications.
Activity
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Quality Metrics
Correctness88.4%
Maintainability86.2%
Architecture83.0%
Performance79.2%
AI Usage33.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentCode RefactoringConstraint ProgrammingData StructuresError HandlingMathematical OperationsNumPyPythonPython DevelopmentRefactoringSAT SolversSoftware DevelopmentSolver IntegrationTestingalgorithm optimization
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