idaholab/raven
Apr 2025 – May 2025
2 Months active
Languages Used
FortranPythonShell
Technical Skills
Code Interface DevelopmentData ParsingFortranPythonSoftware RefactoringXML
Diego Mandelli
PROFILE
Diego Mandelli
Over a two-month period, contributed to the idaholab/raven repository by delivering two major features focused on scientific software integration and analytics. Developed the MELCOR-RAVEN interface enhancement, enabling seamless integration between MELCOR and RAVEN through expanded I/O, XML-based configuration, and targeted refactoring for maintainability using Fortran and Python. Additionally, enhanced the Dynamic Time Warping (DTW) metric by refining its algorithm, improving robustness and accuracy for time-series analysis, and expanding unit tests to cover multi-dimensional data. Emphasized code interface development, data parsing, and software refactoring, resulting in more reliable analytics workflows and extensible infrastructure for future enhancements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
7,803
Activity Months2
Your Network
66 peopleSame Organization
@inl.gov58
Bradley HuddlestonMember
BrettMember
Derek VranesMember
Butterworth, EvanMember
Gabriel J. SotoMember
Jason M MillerMember
Joseph CoronaVazquezMember
Kevin HarwoodMember
Larry AagesenMember
Shared Repositories
8
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Raven (idaholab/raven) delivered a major enhancement to the DTW metric: refactored the DTW run to optionally return the DTW path, clarified and hardened dtwDistance, and expanded unit tests to validate standard and derivative DTW calculations, including multi-dimensional inputs. This work improves robustness, accuracy, and usability of time-series similarity analytics, reducing risk for downstream simulations and data analysis.
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Raven (idaholab/raven) delivered a major enhancement to the DTW metric: refactored the DTW run to optionally return the DTW path, clarified and hardened dtwDistance, and expanded unit tests to validate standard and derivative DTW calculations, including multi-dimensional inputs. This work improves robustness, accuracy, and usability of time-series similarity analytics, reducing risk for downstream simulations and data analysis.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary: Delivered the MELCOR-RAVEN Interface Enhancement to enable seamless integration with the RAVEN framework, expanded MELCOR I/O and parsing capabilities, and added XML nodes for plot and message file specification. Performed targeted refactors and introduced MELCOR data processing utilities to improve maintainability and support future analytics. No major bugs fixed this month; changes focused on reliability and extensibility.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary: Delivered the MELCOR-RAVEN Interface Enhancement to enable seamless integration with the RAVEN framework, expanded MELCOR I/O and parsing capabilities, and added XML nodes for plot and message file specification. Performed targeted refactors and introduced MELCOR data processing utilities to improve maintainability and support future analytics. No major bugs fixed this month; changes focused on reliability and extensibility.
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
FortranPythonShell
Technical Skills
Algorithm ImplementationCode Interface DevelopmentData AnalysisData ParsingFortranPythonSoftware RefactoringUnit TestingXML
Repositories Contributed To
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