Gael Varoquaux 11/13/2009

Decoration in Python done right: Decorating and pickling

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This article discusses how to write Python decorators that do not break pickling and reflectivity. It explains why simple closure-based decorators cause pickling errors, then presents solutions: using class-based decorators and functools.wraps to preserve function metadata and import paths. The post emphasizes best practices for maintaining decorator functionality while ensuring compatibility with serialization, important for parallel computing and metaprogramming.

Decoration in Python done right: Decorating and pickling

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