Extended settings checker

[jpn--]

This pull request introduces a new extension, settings_checker, and integrates it into the project. The main goal is to provide a mechanism for verifying model-specific settings using Pydantic data models. Additionally, it enables this settings check in two configuration files. The most important changes are as follows:

New extension for settings validation:

• Added a new module, settings_checker.py, which defines EXTENSION_CHECKER_SETTINGS. This mapping links model names to their respective Pydantic settings classes and YAML settings files, facilitating automated validation of model settings.
• Registered the new settings_checker extension in extensions/__init__.py, making it available to the application.

Configuration updates:

• Enabled model settings checking by adding check_model_settings: True to configs/resident/settings.yaml and configs/resident/settings_mp.yaml. This activates the new validation logic during model runs. [1] [2]