BayesFlow Packaging Specialist FAQs

Question 1

What is the benefit of the src-layout used by this skill?

Accepted Answer

The src-layout prevents accidental imports of the local package code during development, ensuring that your tests run against the installed version of the package and confirming that the installation configuration is correct.

Question 2

How does this skill handle public API visibility?

Accepted Answer

It enforces the use of the __all__ list in your package's __init__.py file, which is critical for making functions and classes visible to IDE auto-completion and supporting clean wildcard imports.

Question 3

How is package versioning handled?

Accepted Answer

The skill implements a dynamic version detection pattern using importlib.metadata, which allows the package to report its version correctly even in editable installs or raw checkouts.

Question 4

Can this skill manage optional dependencies like calibration tools?

Accepted Answer

Yes, it provides specific patterns for declaring optional extras in pyproject.toml and implementing try-except import guards in your code to handle missing dependencies gracefully.

Question 5

Does it provide configuration for linting and code quality?

Accepted Answer

It includes pre-configured settings for Ruff, including line-length, target Python version, and a selection of recommended linting rules to maintain high code quality.

BayesFlow Packaging Specialist

주요 기능

사용 사례

BayesFlow Packaging Specialist

주요 기능

사용 사례