pabloprf/MITIM-fusion
Oct 2024 – Oct 2025
4 Months active
Languages Used
PythonTOML
Technical Skills
Code ModernizationCode RefactoringConfiguration ManagementFile HandlingFile I/OFile System Operations
aaronkho
PROFILE
Aaronkho
Aaron Kho contributed to the pabloprf/MITIM-fusion repository by modernizing and stabilizing core scientific workflows. He migrated file and path operations to Python’s pathlib, refactored modules for cross-platform compatibility, and replaced system commands with shutil to improve reliability. Aaron enhanced input handling for Windows environments and expanded plasma parameter support for power state calculations, aligning IMAS and CGYRO data for greater accuracy. He integrated FiBE-based equilibrium initialization into MAESTRObeat, ensuring reproducible builds through dependency management. His work demonstrated depth in backend development, code integration, and scientific computing, resulting in more maintainable, portable, and robust automation-ready pipelines for the project.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
57Total
Bugs
3
Commits
57
Features
12
Lines of code
2,030
Activity Months4
Your Network
114 people
Work History
October 2025
4 Commits • 1 Features
Oct 1, 2025October 2025 MITIM-fusion: Implemented FiBE-based equilibrium initialization in MAESTRObeat, including initializer_from_fibe to generate equilibrium data via FiBE and convert to geqdsk for downstream processing. Stabilized build and runtime by aligning dependencies: switched fibe to main branch and updated megpy/fibe to PyPI releases; re-added FiBE installation dependency. No major bugs fixed during this period. Overall impact: enabling repeatable, FiBE-driven equilibrium initialization for faster scenario setup and smoother downstream workflows; improved build reproducibility and maintainability. Technologies: FiBE, fibe, PyPI releases, geqdsk conversion, MAESTRObeat.
4 Commits • 1 Features
Oct 1, 2025October 2025 MITIM-fusion: Implemented FiBE-based equilibrium initialization in MAESTRObeat, including initializer_from_fibe to generate equilibrium data via FiBE and convert to geqdsk for downstream processing. Stabilized build and runtime by aligning dependencies: switched fibe to main branch and updated megpy/fibe to PyPI releases; re-added FiBE installation dependency. No major bugs fixed during this period. Overall impact: enabling repeatable, FiBE-driven equilibrium initialization for faster scenario setup and smoother downstream workflows; improved build reproducibility and maintainability. Technologies: FiBE, fibe, PyPI releases, geqdsk conversion, MAESTRObeat.
October 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for pabloprf/MITIM-fusion: Implemented Power State Calculation Enhancement by expanding the plasma parameter set and improving IMAS-to-CGYRO data normalization. Key changes include adding B_unit, q, s_q, aLTe, aLTz, ne, nZ, w0, B_ref, Zeff, kappa, delta, and betae; and removing a commented eps line to enhance accuracy and flexibility. Re-added B_ref to satisfy downstream usage and maintain CGYRO compatibility, enabling more accurate power state calculations and broader parameter coverage.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for pabloprf/MITIM-fusion: Implemented Power State Calculation Enhancement by expanding the plasma parameter set and improving IMAS-to-CGYRO data normalization. Key changes include adding B_unit, q, s_q, aLTe, aLTz, ne, nZ, w0, B_ref, Zeff, kappa, delta, and betae; and removing a commented eps line to enhance accuracy and flexibility. Re-added B_ref to satisfy downstream usage and maintain CGYRO compatibility, enabling more accurate power state calculations and broader parameter coverage.
November 2024
41 Commits • 8 Features
Nov 1, 2024November 2024 MITIM-fusion: A focused sprint delivering broad pathlib migration, cross-platform hardening, and user-input robustness across the repository. Achievements include migrating TGLF workflows and remaining tools to pathlib, refactoring modules to reduce os.path usage, replacing system commands with shutil, and introducing Python-based translation for IOtools. Windows input support was added, and key bug fixes improved parsing and portability. These changes enhance portability, reliability, and maintainability while delivering measurable business value in automation-readiness and developer productivity.
41 Commits • 8 Features
Nov 1, 2024November 2024 MITIM-fusion: A focused sprint delivering broad pathlib migration, cross-platform hardening, and user-input robustness across the repository. Achievements include migrating TGLF workflows and remaining tools to pathlib, refactoring modules to reduce os.path usage, replacing system commands with shutil, and introducing Python-based translation for IOtools. Windows input support was added, and key bug fixes improved parsing and portability. These changes enhance portability, reliability, and maintainability while delivering measurable business value in automation-readiness and developer productivity.
November 2024
October 2024
10 Commits • 2 Features
Oct 1, 2024MITIM-fusion – Monthly summary for 2024-10 Overview: - Focused on robustness, portability, and execution reliability across FARMINGtools, TGYROtools, TGLFtools, and GACODE run utilities. Delivered concrete path handling modernization, execution-mode hardening, and a critical device-placement fix to stabilize optimization work. Key features delivered: - Path Handling Modernization Across Core Tools: Adopt pathlib-based path handling across FARMINGtools, TGYROtools, TGLFtools, and GACODE run utilities to improve robustness, readability, and consistency when constructing and validating file paths. Representative commits: 5d39ddfff4e067282ae498f72ba7da094c260fe1 (Update remaining pieces of FARMINGtools to pathlib), a459e86c4cd981d7a31345781290bbd4d7a7b32b (Additional progress on TGYROtools conversion), aa6269d46d792d883c42de6f56868ff79d46fffd (Finish update of TGYROtools to use pathlib), bece74c8f2d0387fa9718b21fbc13809615726f4 (Avoid spinning up nested shells via bash command, can break virtual envs), ab38ff236f5ca0c671ea7726fdb1d53cd832d3a4 (Minor fix to TGLFtools to ensure input is a Path object), 6adcbb2afa1f3b653abfbff991f19da9cb3249ba (Update runTGLF function in GACODErun to use pathlib). - Remote/Local Execution and Shell Execution Robustness: Standardize local vs remote job execution behavior, remove default bashrc sourcing in remote environments, and ensure shell commands execute directly to avoid nested shells and environment conflicts. Representative commits: 78767181e87e21bec11521cfb661d272e6a1f435 (Remove extra default sourcing of bashrc for remote jobs), f7b6c6919ebc97d83be9d1109044de2da914fe7b (Assume clear distinction between remote and local in FARMINGtools), 89808616e84b6c80fa4256c67745249316764720 (Revert changes related to remote path in FARMINGtools, left as string). - Device Placement Stability in Optimization: Fix runtime stability by ensuring tensors are moved to the correct device (CPU/GPU) during transformations and predictions. Representative commit: 2bab22ff2867ba987cc11af5535d60f9a2fb9c1e (Improve consistency of dtype and device in optimization classes). Major bugs fixed: - Ensured tensors are consistently placed on the correct device (CPU/GPU) during optimization transformations and predictions, improving runtime stability and reproducibility. Overall impact and accomplishments: - Business value: More reliable build and run pipelines, fewer environment-related failures, and improved reproducibility across end-to-end workflows for MITIM-fusion. - Technical impact: Clean, portable path handling; robust remote/local execution semantics; and safer tensor device management that reduces mystery errors in production runs. Technologies/skills demonstrated: - Python pathlib for file system paths; cross-tool standardization; remote/local execution patterns; shell command safety (avoiding nested shells); PyTorch device management and dtype handling.
October 2024
10 Commits • 2 Features
Oct 1, 2024MITIM-fusion – Monthly summary for 2024-10 Overview: - Focused on robustness, portability, and execution reliability across FARMINGtools, TGYROtools, TGLFtools, and GACODE run utilities. Delivered concrete path handling modernization, execution-mode hardening, and a critical device-placement fix to stabilize optimization work. Key features delivered: - Path Handling Modernization Across Core Tools: Adopt pathlib-based path handling across FARMINGtools, TGYROtools, TGLFtools, and GACODE run utilities to improve robustness, readability, and consistency when constructing and validating file paths. Representative commits: 5d39ddfff4e067282ae498f72ba7da094c260fe1 (Update remaining pieces of FARMINGtools to pathlib), a459e86c4cd981d7a31345781290bbd4d7a7b32b (Additional progress on TGYROtools conversion), aa6269d46d792d883c42de6f56868ff79d46fffd (Finish update of TGYROtools to use pathlib), bece74c8f2d0387fa9718b21fbc13809615726f4 (Avoid spinning up nested shells via bash command, can break virtual envs), ab38ff236f5ca0c671ea7726fdb1d53cd832d3a4 (Minor fix to TGLFtools to ensure input is a Path object), 6adcbb2afa1f3b653abfbff991f19da9cb3249ba (Update runTGLF function in GACODErun to use pathlib). - Remote/Local Execution and Shell Execution Robustness: Standardize local vs remote job execution behavior, remove default bashrc sourcing in remote environments, and ensure shell commands execute directly to avoid nested shells and environment conflicts. Representative commits: 78767181e87e21bec11521cfb661d272e6a1f435 (Remove extra default sourcing of bashrc for remote jobs), f7b6c6919ebc97d83be9d1109044de2da914fe7b (Assume clear distinction between remote and local in FARMINGtools), 89808616e84b6c80fa4256c67745249316764720 (Revert changes related to remote path in FARMINGtools, left as string). - Device Placement Stability in Optimization: Fix runtime stability by ensuring tensors are moved to the correct device (CPU/GPU) during transformations and predictions. Representative commit: 2bab22ff2867ba987cc11af5535d60f9a2fb9c1e (Improve consistency of dtype and device in optimization classes). Major bugs fixed: - Ensured tensors are consistently placed on the correct device (CPU/GPU) during optimization transformations and predictions, improving runtime stability and reproducibility. Overall impact and accomplishments: - Business value: More reliable build and run pipelines, fewer environment-related failures, and improved reproducibility across end-to-end workflows for MITIM-fusion. - Technical impact: Clean, portable path handling; robust remote/local execution semantics; and safer tensor device management that reduces mystery errors in production runs. Technologies/skills demonstrated: - Python pathlib for file system paths; cross-tool standardization; remote/local execution patterns; shell command safety (avoiding nested shells); PyTorch device management and dtype handling.
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Quality Metrics
Correctness91.4%
Maintainability94.4%
Architecture86.4%
Performance79.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTOML
Technical Skills
Backend DevelopmentBug FixingBugfixCode IntegrationCode ModernizationCode RefactoringConfiguration ManagementCross-Platform DevelopmentCross-platform developmentData ProcessingData VisualizationDependency ManagementEquilibrium CalculationFile HandlingFile I/O
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