Better Living Through Python With Decorators
As of now, writing custom decorators correctly requires some experience and it
is not as easy as it could be. For instance, typical implementations of
decorators involve nested functions, and we all know that flat is better than
nested. Moreover, typical implementations of decorators do not preserve the
signature of decorated functions, thus confusing both documentation tools and
developers.
The aim of the decorator module it to simplify the usage of decorators for the
average programmer, and to popularize decorators usage giving examples of
useful decorators, such as memoize, tracing, redirecting_stdout, locked, etc.
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Source Files
Filename | Size | Changed |
---|---|---|
_link | 0000000151 151 Bytes | |
decorator-5.1.0.tar.gz | 0000034900 34.1 KB | |
python-decorator.changes | 0000009655 9.43 KB | |
python-decorator.spec | 0000002238 2.19 KB |
Revision 50 (latest revision is 53)
Dirk Mueller (dirkmueller)
committed
(revision 50)
- update to 5.1.0: * Added a function `decoratorx` using the `FunctionMaker` and thus preserving the signature of `__code__` objects. * Sphinx was printing a few warnings when building the documentation * functions decorated with `decorator.contextmanager` were one-shot, as discovered by Alex Pizarro. * `decorator.decorator` was not passing the kwsyntax argument. - drop kwsyntax.patch (usptream)
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