Commit Graph

3 Commits

Author SHA1 Message Date
b3162aa78d Tier 2 dev workflow: Windows test runner + result sync
- run_tests.bat: double-click test runner with JSON result capture
- run_script.bat: run any script with output capture
- test_results/ folder for Syncthing-based result sharing
- Auto-mark NX-dependent tests for --quick mode
- pytest-json-report for structured results
2026-03-07 14:07:32 +00:00
Antoine
a005a4a98a feat: Add complete requirements and installation scripts
- requirements.txt: Added all dependencies including PyTorch,
  torch-geometric, tensorboard for neural network training

- install.bat: One-click installation script that installs all
  dependencies with proper version constraints

- train_neural.bat: Training script that runs parametric neural
  network training on collected FEA data

Usage:
  1. Double-click install.bat to install dependencies
  2. Double-click train_neural.bat to train on bracket study

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-26 16:42:39 -05:00
aa3dafbe4b Initial commit: NX OptiMaster project structure
- Set up Python package structure with pyproject.toml
- Created MCP server, optimization engine, and NX journals modules
- Added configuration templates
- Implemented pluggable result extractor architecture
- Comprehensive README with architecture overview
- Project ready for GitHub push

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-15 07:56:35 -05:00