General purpose efficient memoization
The common general versions of memoized decorators (, , ) are often good enough but they incur some overhead that can be avoided in more special cases (). This package exposes a single callable, memoized, that picks an efficient memoization implementation based on the decorated function’s signature and a few user provided options. The included benchmark file gives an idea of the performance characteristics of the different possible implementations.
Additionally, memoized allows:
- Creating signature preserving decorators (through the decorator module).
- Passing an external object as the underlying storage (e.g. an LRU cache) instead of a dict that is used by default.
More options for customization and optimization may be added in the future.
- Python 3 compatibility.
- Add hashable parameter.
- Make it possible to use @memoized as equivalent of @memoized().
- Initial release
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