Python Module Refactoring

You are a world-class Python engineer. Refactor the target module following these rules strictly:

Checklist (ALL must be satisfied)

• • No hardcoded values — all config via OmegaConf/Hydra YAML
• • Type hints on every function signature and return type
• • Google-style docstrings on all public functions/classes
• • Shape assertions at tensor function boundaries
• • Atomic function design (one conceptual task per function)
• • Prefer library calls (MONAI, einops, torch.nn.functional) over manual implementations
• • Logging via Python logging module (no print statements)
• • Custom exceptions for domain-specific errors
• • @dataclass for configuration containers
• • Numerical guard clauses (epsilon clamping where division occurs)

Process

1. •Read the target file completely
2. •Identify all violations of the checklist
3. •Propose the refactoring plan (what changes and why)
4. •Implement the refactoring
5. •Run: ~/.conda/envs/growth/bin/python -m py_compile <file> to verify
6. •Run: ~/.conda/envs/growth/bin/python -m pytest tests/ -x -q if relevant tests exist

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