tqec/tqec
Apr 2025 – Sep 2025
4 Months active
Languages Used
PythonYAMLBibTeXMarkdownRSTtext
Technical Skills
Backend DevelopmentBuild SystemsCode RefactoringDatabase ManagementFull Stack DevelopmentPython Development
BSchelpe
PROFILE
Bschelpe
Arabella Schelpe contributed to the tqec/tqec repository by developing robust backend features and improving academic publishing workflows. She implemented transparent detector database management with configurable paths and introduced semver-based versioning to ensure data integrity across deployments, using Python and YAML for backend logic and configuration. Her work automated database invalidation and streamlined reproducibility, reducing manual intervention. Arabella also prepared the repository for Journal of Open Source Software submission by integrating BibTeX references, Markdown documentation, and CI/CD enhancements. She addressed reviewer feedback through metadata updates, ethical notice rebranding, and license cleanup, demonstrating depth in technical writing, documentation, and license management.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
9Total
Bugs
3
Commits
9
Features
5
Lines of code
610
Activity Months4
Your Network
10 people
Work History
September 2025
5 Commits • 2 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on tqec/tqec. Delivered metadata and documentation improvements, branding/ethics updates, and license cleanup to boost discoverability, compliance, and maintainability. Work reflects strong attention to data quality, reviewer feedback, and governance practices, with clear impact on user experience and project quality.
5 Commits • 2 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on tqec/tqec. Delivered metadata and documentation improvements, branding/ethics updates, and license cleanup to boost discoverability, compliance, and maintainability. Work reflects strong attention to data quality, reviewer feedback, and governance practices, with clear impact on user experience and project quality.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, tqec/tqec delivered features to prepare for Journal of Open Source Software (JOSS) submission: added BibTeX references, a Markdown paper content file, and updated the CI workflow to correctly handle the PDF draft output path. This work establishes a reproducible paper build and submission process, enhancing readiness for review and publication. No major bugs were reported; primary focus was on enabling the formal submission workflow and improving documentation and CI reliability.
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, tqec/tqec delivered features to prepare for Journal of Open Source Software (JOSS) submission: added BibTeX references, a Markdown paper content file, and updated the CI workflow to correctly handle the PDF draft output path. This work establishes a reproducible paper build and submission process, enhancing readiness for review and publication. No major bugs were reported; primary focus was on enabling the formal submission workflow and improving documentation and CI reliability.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for tqec/tqec: Key feature delivered: DetectorDatabase Versioning with Semver-based Invalidation. Implemented a version attribute in DetectorDatabase and integrated the semver library to automatically invalidate outdated user databases when a new TQEC code version is deployed, triggering a full recomputation. Version mismatches are handled by raising an exception or issuing a warning depending on whether a custom database path is specified, ensuring deployment-driven data correctness. Major bugs fixed: No standalone bug fixes reported this month; primary focus was on robust versioning and invalidation flows to prevent stale results and ensure consistency across deployments. Overall impact and accomplishments: Delivered an automated, deployment-aware invalidation mechanism that aligns detector results with the latest codebase. This reduces manual cache management, accelerates release confidence, and improves reliability for users relying on up-to-date detector data across versions. Technologies/skills demonstrated: Python class design (DetectorDatabase), semver-based invalidation strategy, versioning attribute integration, deployment-aware error handling, and path-based handling for default vs custom databases.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for tqec/tqec: Key feature delivered: DetectorDatabase Versioning with Semver-based Invalidation. Implemented a version attribute in DetectorDatabase and integrated the semver library to automatically invalidate outdated user databases when a new TQEC code version is deployed, triggering a full recomputation. Version mismatches are handled by raising an exception or issuing a warning depending on whether a custom database path is specified, ensuring deployment-driven data correctness. Major bugs fixed: No standalone bug fixes reported this month; primary focus was on robust versioning and invalidation flows to prevent stale results and ensure consistency across deployments. Overall impact and accomplishments: Delivered an automated, deployment-aware invalidation mechanism that aligns detector results with the latest codebase. This reduces manual cache management, accelerates release confidence, and improves reliability for users relying on up-to-date detector data across versions. Technologies/skills demonstrated: Python class design (DetectorDatabase), semver-based invalidation strategy, versioning attribute integration, deployment-aware error handling, and path-based handling for default vs custom databases.
June 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for tqec/tqec: Two critical updates focused on reliability and data management. Key feature delivered: transparent detector database handling with a default local DB and configurable library paths. Major bug fix: cnot_all_observables.py compatibility with the new compilation pipeline by addressing deprecated default arguments via FIXED_BULK_CONVENTION. These changes enhance reproducibility, reduce configuration friction, and improve pipeline resilience. Technologies demonstrated include Python scripting, module-based configuration, and integration with the compilation pipeline. Business value includes more robust, predictable outputs, easier onboarding, and reduced maintenance overhead.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for tqec/tqec: Two critical updates focused on reliability and data management. Key feature delivered: transparent detector database handling with a default local DB and configurable library paths. Major bug fix: cnot_all_observables.py compatibility with the new compilation pipeline by addressing deprecated default arguments via FIXED_BULK_CONVENTION. These changes enhance reproducibility, reduce configuration friction, and improve pipeline resilience. Technologies demonstrated include Python scripting, module-based configuration, and integration with the compilation pipeline. Business value includes more robust, predictable outputs, easier onboarding, and reduced maintenance overhead.
Activity
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Quality Metrics
Correctness93.4%
Maintainability91.2%
Architecture92.2%
Performance85.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
BibTeXMarkdownPythonRSTYAMLtext
Technical Skills
Academic PublishingBackend DevelopmentBuild SystemsCI/CDCode RefactoringDatabase ManagementDependency ManagementDocumentationError HandlingFull Stack DevelopmentPython DevelopmentSoftware EngineeringTechnical WritingVersion Controllicense management
Repositories Contributed To
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