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Pull Request Overview
This PR adds neural network format sample builders for training machine learning models on AST-based code formatting. The implementation includes support for generating training data from abstract syntax trees and preparing it for LSTM-based neural network training.
- Adds neural network sample builder infrastructure with dictionary and sequence management
- Implements tree-to-vector conversion for RNN training data generation
- Integrates file metadata management in code generators for enhanced tracking
Reviewed Changes
Copilot reviewed 77 out of 77 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| keras/format/ | Neural network training data, model files, and Python utilities for LSTM-based code formatting |
| cgen-nnparser/ | Core domain logic for NN format projects, dictionaries, and tree processing |
| cgen-lib/ | Enhanced file generators with metadata support and updated test expectations |
| cgen-console/ | Added command-line option for storing formatted output trees |
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