Type checking for scheduler is added

[kenko911]

Summary

Type checking for scheduler is added

Checklist

• Google format doc strings added. Check with ruff.
• Type annotations included. Check with mypy.
• Tests added for new features/fixes.
• If applicable, new classes/functions/modules have duecredit @due.dcite decorators to reference relevant papers by DOI (example)

Tip: Install pre-commit hooks to auto-check types and linting before every commit:

pip install -U pre-commit
pre-commit install

[coderabbitai]

Walkthrough

The recent update to the training.py file in the matgl project includes importing the LRScheduler from torch.optim and modifying the type annotation for the scheduler parameter in the MatglLightningModuleMixin class. The scheduler parameter now accepts an LRScheduler or None, enhancing type safety and clarity regarding the expected types for this parameter.

Changes

Files	Change Summary
src/matgl/utils/training.py	Updated imports to include LRScheduler; modified type annotation of scheduler in MatglLightningModuleMixin class to LRScheduler | None.

Sequence Diagram(s)

Not applicable as the changes are primarily updates to imports and type annotations without affecting the control flow or introducing new features.

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Recent review details

Configuration used: .coderabbit.yaml
Review profile: CHILL

Commits

Files that changed from the base of the PR and between d59abe2 and 27c728f.

Files selected for processing (1)

• src/matgl/utils/training.py (3 hunks)

Additional comments not posted (3)

src/matgl/utils/training.py (3)

19-19: Import statement change approved.

The import of LRScheduler is necessary for the type annotation update.

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150-150: Type annotation change approved.

The type annotation for the scheduler parameter has been updated to LRScheduler | None, which ensures type safety and clarity.

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273-273: Type annotation change approved.

The type annotation for the scheduler parameter has been updated to LRScheduler | None, which ensures type safety and clarity.

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