updated test_switch to align with dependencies

[astrogilda]

Pull Request Template

Description

This pull request introduces essential updates to the dependencies.py and test_switch.py modules to enhance dependency management and streamline the testing process within the project. The primary changes include:

1. Refactored dependencies.py:

   • Integrated Pydantic 2.0 for Inline Validation: Implemented inline validation using Pydantic's BaseModel and field_validator, eliminating the need for external validation mechanisms. This ensures robust input validation while maintaining a lean codebase.
   • Introduced SeverityEnum: Utilized Python's Enum to define allowable severity levels (ERROR, WARNING, NONE), reducing the risk of typos and enhancing code clarity.
   • Enhanced Type Hinting and Documentation: Added comprehensive type hints and detailed docstrings to improve readability and maintainability.
   • Logging Integration: Configured a logger to handle warnings and informational messages, replacing direct print statements for better observability.
   • PEP8 Compliance: Ensured that the code adheres to Python's PEP8 style guidelines for consistency and readability.
   • Author Attribution: Updated the __author__ list to include "astrogilda" alongside "fkiraly" to acknowledge contributions.

2. Updated test_switch.py:

   • Aligned with Updated dependencies.py: Replaced the old _check_estimator_deps function with the new check_estimator_dependencies function to maintain consistency.
   • Type Hinting and Documentation: Incorporated type hints and enhanced docstrings to clarify the function's behavior and expected inputs.
   • Optimized Logic: Simplified the dependency checking logic by directly utilizing the new check_estimator_dependencies function, eliminating the need for internal helper functions.
   • PEP8 Compliance and Author Attribution: Ensured consistent styling and updated the __author__ list to include "astrogilda" for proper credit.

These enhancements collectively improve the robustness, readability, and maintainability of the dependency management and testing utilities within the project, ensuring seamless integration and scalability.

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested?

The changes have been thoroughly tested to ensure functionality and compatibility:

• Unit Tests: Updated and ran existing unit tests in test_switch.py to verify that the run_test_for_class function correctly determines whether to run tests based on dependency checks.
• Static Type Checking: Utilized type checkers (e.g., Pylance in VSCode) to ensure that type hints are correctly implemented and that no type-related errors are present.
• Manual Testing: Conducted manual tests by simulating different scenarios where dependencies are present or missing to confirm that the functions behave as expected.
• PEP8 Linting: Ran linting tools to ensure that the code adheres to PEP8 standards without introducing any style violations.

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• Any dependent changes have been merged and published in downstream modules

Additional Information (if applicable)

• Pydantic 2.0 Usage: Transitioned to using Pydantic's BaseModel and field_validator for inline validation, ensuring compatibility with the latest Pydantic version and enhancing input validation robustness.
• Type Checker Compatibility: Addressed type checker (Pylance) errors by correctly handling the conversion between str and SeverityEnum using field_validator and suppressing false positives where necessary with # type: ignore.
• Logging Configuration: The module now uses Python's built-in logging module, allowing for better integration with different logging configurations in various environments.
• Dependency Alignment: Ensured that test_switch.py is fully aligned with the updated dependencies.py, maintaining consistency across modules and reducing potential integration issues.

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@all-contributors please add @astrogilda for code, documentation