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Atomizer/atomizer-field/tests/__init__.py

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feat: Merge Atomizer-Field neural network module into main repository Permanently integrates the Atomizer-Field GNN surrogate system: - neural_models/: Graph Neural Network for FEA field prediction - batch_parser.py: Parse training data from FEA exports - train.py: Neural network training pipeline - predict.py: Inference engine for fast predictions This enables 600x-2200x speedup over traditional FEA by replacing expensive simulations with millisecond neural network predictions. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-26 15:31:33 -05:00
"""
AtomizerField Test Suite
Comprehensive testing framework for neural field learning
"""
__version__ = "1.0.0"
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