update

[xuhuanzy]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @xuhuanzy, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on advancing the type inference and checking capabilities within the EmmyLua code analysis system. It introduces robust support for generic types and their aliases during member inference, alongside more precise type validation for tuple structures, including flexible indexed access. These changes aim to enhance the accuracy and reliability of the static analysis, making the system more capable of understanding complex type relationships. Additionally, a minor adjustment to a pre-commit hook and a method signature refactoring contribute to overall code quality.

Highlights

• Generic Type Inference: Improved member type inference for generic types, allowing for better handling of parameterized types and type aliases within the code analysis.
• Enhanced Tuple Type Checking: Refined type checking for tuples, specifically for indexed access and the correct handling of generic array aliases.
• Pre-commit Hook Adjustment: The 'mixed-line-ending' pre-commit hook has been reconfigured to run only manually, providing more control over its execution.
• Immutability Refactoring: The 'is_sub_type_of' method in the semantic model has been refactored to be immutable, improving code safety and consistency.

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  • .github/workflows/test.yml

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[gemini-code-assist]

Code Review

This pull request introduces several updates, including changes to the pre-commit configuration, new tests for type mismatch diagnostics, and refactoring of the type inference and checking logic. While most changes are beneficial, I've identified a critical issue in the new generic type inference logic that could lead to infinite recursion. I've provided detailed comments and suggestions to address this potential bug by correctly propagating the inference guard for cycle detection. The other changes appear to be solid improvements.