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Gonzague de Carpentier

PROFILE

Gonzague De Carpentier

Developed a grid pattern matching utility for the Youyoun/adventofcode-2024 repository, focusing on automated detection and counting of patterns within data grids. The solution was implemented in Python, leveraging NumPy for efficient data manipulation and incorporating algorithm design principles to support matching across rows, columns, diagonals, and through pattern rotations or reflections. Regular expressions and robust problem-solving techniques were applied to ensure flexible pattern recognition. Comprehensive automated tests were included to validate correctness and streamline QA checks, reducing manual validation efforts. The work established a maintainable, reusable foundation for future grid-based analytics and contributed to scalable data validation workflows.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
113
Activity Months1

Work History

December 2024

2 Commits • 1 Features

Dec 1, 2024

December 2024 — Delivered Grid Pattern Matching Utility for Youyoun/adventofcode-2024. Python-based tool to detect and count patterns in data grids, supporting matching modes (rows, columns, diagonals) and pattern rotations/reflections. Includes a comprehensive test suite for correctness and automated QA checks on grid inputs. Feature-focused month with groundwork for scalable grid analytics and reduced manual validation effort.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Algorithm DesignNumPyPattern MatchingProblem SolvingRegular Expressions

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Youyoun/adventofcode-2024

Dec 2024 Dec 2024
1 Month active

Languages Used

Python

Technical Skills

Algorithm DesignNumPyPattern MatchingProblem SolvingRegular Expressions