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Awesome GitHub RepositoriesDunder Method Detection
Infers that certain dunder methods should not be auto-generated when the user defines them directly on the class.
Distinct from Automatic Method Inferrers: Distinct from Automatic Method Inferrers: focuses on detecting user-defined dunder methods to avoid regeneration, not inferring authentication methods from flow types.
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Awesome Dunder Method Detection GitHub Repositories
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- python-attrs/attrs
python-attrs/attrs
5,799Ver en GitHubattrs is a Python library that automatically generates initialization, representation, equality, hashing, and ordering methods from declarative class attribute definitions. At its core, it provides a class decorator metaprogramming framework that intercepts class creation to rewrite the class body, producing dunder methods without manual boilerplate. The library includes a comprehensive attribute validation toolkit with built-in validators for type checks, range constraints, regex matching, length limits, and logical composition of validation rules. The library distinguishes itself through it
Provides automatic detection of user-defined dunder methods to prevent redundant generation.
Python
