Spincirc
C 64 completed
Other
library / objective-c · small
94
Files
26,415
LOC
1
Frameworks
10
Languages
Pipeline State
completedRun ID
#1131937Phase
doneProgress
0%Started
2026-04-15 15:23:19Finished
2026-04-15 15:23:19LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
74.00Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:31Deduplication group #64287
Member of a group with 1 similar repo(s) — this repo is canonical view group →
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AI Prompt
Create a computational framework for spintronic device modeling. I need it to handle spin transport using a drift-diffusion solver with a 4x4 conductance matrix, and also incorporate magnetization dynamics via LLG/LLGS integration with thermal noise. The framework should support modeling various devices like MTJs, spin valves, and multiferroic devices. Since it has multiple implementations, please ensure it includes MATLAB core for numerical solvers, Python tools for data analysis, and Verilog-A models for circuit simulation. I also need to be able to run tests using both MATLAB and pytest.
spintronics device-modeling matlab python verilog-a spin-transport llg circuit-simulation computational-framework
Generated by gemma4:latest
Catalog Information
Create a computational framework for spintronic device modeling. I need it to handle spin transport using a drift-diffusion solver with a 4x4 conductance matrix, and also incorporate magnetization dynamics via LLG/LLGS integration with thermal noise. The framework should support modeling various devices like MTJs, spin valves, and multiferroic devices. Since it has multiple implementations, please ensure it includes MATLAB core for numerical solvers, Python tools for data analysis, and Verilog-A
Tags
spintronics device-modeling matlab python verilog-a spin-transport llg circuit-simulation computational-framework
Quality Score
C
63.9/100
Structure
71
Code Quality
49
Documentation
83
Testing
50
Practices
69
Security
72
Dependencies
90
Strengths
- Code linting configured (ruff (possible))
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- No CI/CD configuration — manual testing and deployment
- 1 files with critical complexity need refactoring
- 1 bare except/catch blocks swallowing errors
- Potential hardcoded secrets in 1 files
- 1369 duplicate lines detected — consider DRY refactoring
- 17 'god files' with >500 LOC need decomposition
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Replace bare except/catch blocks with specific exception types
- Move hardcoded secrets to environment variables or a secrets manager
Languages
Frameworks
pytest
Symbols
method138
variable66
class21
constant15
property8
function7
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BinComp Dependency Hardening
All packages →9 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Ftorch2.11.0 · 1,257 gadgets · risk 5116.6Nipython9.12.0 · 0 gadgets · risk 738.0Njoblib1.5.3 · 0 gadgets · risk 0.0Cmatplotlib3.10.8 · 2,481 gadgets · risk 0.0Fnumpy2.4.4 · 6,596 gadgets · risk 0.0Fpandas3.0.2 · 6,381 gadgets · risk 0.0Nplotly6.7.0 · 0 gadgets · risk 0.0Fscipy1.17.1 · 21,805 gadgets · risk 0.0Nsetuptools82.0.1 · 0 gadgets · risk 0.0