# Evidence: Load, batch, and checkpoint order with Grain

Copy this template into your own portfolio and fill it after running your modified exercise.

## Evidence required

Keep Grain sampler configuration and exact example IDs for full and partial batches; save iterator bytes, recreate the loader, and compare the next batch before/after restore. Record the incompatible configuration failure.

- Command: `python3 phases/06-recovery/02-load-batch-and-prefetch-with-grain/code/main.py`
- Working directory: repository root
- Python / JAX / NumPy versions: 
- Hardware and device: 
- My prediction before running: 
- My change to the exercise: 
- Exit code and meaningful output: 
- Why the result supports or contradicts my prediction: 
- Checkpoint result: 
- Artifact link or saved filename: 
- Portfolio status: saved in local workspace