# Evidence: Shapes, broadcasting, and dtypes

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

## Evidence required

Keep an axis sketch, asymmetric offset checks, aligned-versus-pairwise residual arrays, a rejected shape mismatch, and the float32 precision observation. Explain the intended residual contract.

- Command: `python3 phases/01-arrays/02-shapes-broadcasting-and-dtypes/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
