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
loggingmodule (no print statements) - Custom exceptions for domain-specific errors
- @dataclass for configuration containers
- Numerical guard clauses (epsilon clamping where division occurs)
Process
- Read the target file completely
- Identify all violations of the checklist
- Propose the refactoring plan (what changes and why)
- Implement the refactoring
- Run:
~/.conda/envs/neuromf/bin/python -m py_compile <file>to verify - Run:
~/.conda/envs/neuromf/bin/python -m pytest tests/ -x -qif relevant tests exist
$ARGUMENTS
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