Question 1

How do I use infer-types with Python 3.9 or older?

Accepted Answer

Add 'from __future__ import annotations' at the top of each file or use isort with the --add-import flag, as recommended in the README, to ensure compatibility with the modern syntax output.

Question 2

Does infer-types work well with frameworks like Django or Flask?

Accepted Answer

It can infer types for standard Python code, but may struggle with framework-specific patterns like ORM models or decorators, so manual review is often needed for accuracy.

Question 3

infer-types vs mypy: which is better for type checking?

Accepted Answer

infer-types is for adding annotations automatically, while mypy is for static type checking; they complement each other, but infer-types focuses on inference, not validation.

Question 4

Can infer-types handle async functions and generics?

Accepted Answer

It has basic support for async via heuristics like yielding for iterators, but complex generics or type variables may require manual annotation due to limitations in static inference.

Question 5

What should I do if infer-types makes incorrect type guesses?

Accepted Answer

Review and manually correct the annotations, as the tool uses heuristics that can produce false positives; running type checkers like mypy afterward can help identify errors.

Question 6

Is infer-types safe to run on production code without breaking it?

Accepted Answer

Yes, it's static and doesn't execute code, but always use version control and review changes, as incorrect annotations could affect type safety or readability in edge cases.

infer-types

What is infer-types?

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