Description

I think I accidentally introduced this error when trying to make DataChoices importable without requiring torch to be installed. But this meant the types of the Client model for pydantic were only available at type checking time (not runtime).

Fixes

• Fixes Get pydantic.errors.PydanticUserError when running fedlearn using default configuration provided in the doc #152

Type of Change

• Bug (non-breaking change which fixes an issue)
• Enhancement (non-breaking change which adds or improves functionality)
• Internal (refactoring, performance, and testing)
• Breaking (fix or feature that would cause existing functionality to not work as expected)
• Documentation (no changes to the code)
• Development (CI workflows, packages, templates, etc.)
• Package (package dependencies and versions)

Testing

Ran the example in the docs.

Pull Request Checklist

Please confirm the PR meets the following requirements.

• Relevant tags are added (breaking, bug, documentation, enhancement, package, etc.).
• Code changes pass pre-commit (e.g., ruff, mypy, etc.).
• Tests have been added to show the fix is effective or that the new feature works.
• New and existing unit tests pass locally with the changes.
• Docs have been updated and reviewed if relevant.