opencompl/lean4
Nov 2024 – Nov 2024
1 Month active
Languages Used
Lean
Technical Skills
Algorithm DesignData StructuresLibrary DevelopmentSoftware EngineeringType Theory
Sofia Rodrigues
PROFILE
Sofia Rodrigues
Developed a comprehensive Date and Time API for the opencompl/lean4 repository, introducing robust support for dates, times, durations, and time zones within the Lean 4 standard library. Leveraging expertise in algorithm design, data structures, and type theory, the work included implementing parsing and formatting capabilities to facilitate accurate and timezone-aware data handling. The project also involved refactoring Lean.Data.Rat to Std.Internal.Rat, aligning internal representations to better support new time-related features. Written in Lean, this foundational library development enables downstream features and enhances reliability for production-grade applications, addressing common challenges in time handling without introducing major surface bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
13,776
Activity Months1
Your Network
67 peopleWork History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for opencompl/lean4. Key deliverable: Lean 4 Standard Library Date/Time API and Time Zone Support, including dates, times, durations, and time zones with formatting and parsing. Also refactored Lean.Data.Rat to Std.Internal.Rat to better support time-related features. No major surface bugs were reported; the work provides a solid foundation for production-grade time handling and timezone-aware calculations, enabling downstream features and increasing reliability.
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for opencompl/lean4. Key deliverable: Lean 4 Standard Library Date/Time API and Time Zone Support, including dates, times, durations, and time zones with formatting and parsing. Also refactored Lean.Data.Rat to Std.Internal.Rat to better support time-related features. No major surface bugs were reported; the work provides a solid foundation for production-grade time handling and timezone-aware calculations, enabling downstream features and increasing reliability.
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Lean
Technical Skills
Algorithm DesignData StructuresLibrary DevelopmentSoftware EngineeringType Theory
Repositories Contributed To
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