Python Restorable Collections Documentation¶
Pickleable wrappers for Python collections with non-built-in type keys and cycles or self-references.
Interfaces to collections which solve the problem of unpickleable objects when non-built-in type keys are used and form cycles, either mutually or through self-reference.
A detailed article explaining the problem and this solution will soon be available at: http://www.petrounias.org/articles/
- Python >= 2.7
- Author’s website for the project: http://www.petrounias.org/software/python-restorable-collections/
- Git repository on GitHub: https://github.com/petrounias/python-restorable-collections/
- Mercurial repository on BitBucket: http://www.bitbucket.org/petrounias/python-restorable-collections/
Via setup tools:
python setup.py install
Via pip and pypi:
pip install python-restorable-collections
Import the collections wrappers from the restorable_collections module.
from restorable_collections import RestorableDict
and use it instead of the corresponding Python object:
self.foo = RestorableDict() self.foo[self] = 42
Table of Contents¶
- v1.0.0 @ 7 Sep 2014 Initial public release.
Actively developed and maintained since 2014. Currently used in production in proprietary projects by the author and his team, as well as other third parties.
- Support for non-standard collections, specifically OrderedSet and OrderedDefaultDict.
Released under the OSI-approved BSD license.
Copyright (c) 2014 Alexis Petrounias < www.petrounias.org >, all rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the author nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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