skip to navigation
skip to content

klepto 0.1.4

persistent caching to memory, disk, or database

About Klepto

klepto extends python’s lru_cache to utilize different keymaps and alternate caching algorithms, such as lfu_cache and mru_cache. While caching is meant for fast access to saved results, klepto also has archiving capabilities, for longer-term storage. klepto uses a simple dictionary-sytle interface for all caches and archives, and all caches can be applied to any python function as a decorator. Keymaps are algorithms for converting a function’s input signature to a unique dictionary, where the function’s results are the dictionary value. Thus for y = f(x), y will be stored in cache[x] (e.g. {x:y}).

klepto provides both standard and ‘safe’ caching, where safe caches are slower but can recover from hashing errors. klepto is intended to be used for distributed and parallel computing, where several of the keymaps serialize the stored objects. Caches and archives are intended to be read/write accessible from different threads and processes. klepto enables a user to decorate a function, save the results to a file or database archive, close the interpreter, start a new session, and reload the function and it’s cache.

klepto is part of pathos, a python framework for heterogenous computing. klepto is in active development, so any user feedback, bug reports, comments, or suggestions are highly appreciated. A list of known issues is maintained at http://trac.mystic.cacr.caltech.edu/project/pathos/query, with a public ticket list at https://github.com/uqfoundation/klepto/issues.

Major Features

klepto has standard and ‘safe’ variants of the following:

- `lfu_cache` - the least-frequently-used caching algorithm
- `lru_cache` - the least-recently-used caching algorithm
- `mru_cache` - the most-recently-used caching algorithm
- `rr_cache` - the random-replacement caching algorithm
- `no_cache` - a dummy caching interface to archiving
- `inf_cache` - an infinitely-growing cache

klepto has the following archive types:

- `file_archive` - a dictionary-style interface to a file
- `dir_archive` - a dictionary-style interface to a folder of files
- `sqltable_archive` - a dictionary-style interface to a sql database table
- `sql_archive` - a dictionary-style interface to a sql database
- `dict_archive` - a dictionary with an archive interface
- `null_archive` - a dictionary-style interface to a dummy archive

klepto provides the following keymaps:

- `keymap` - keys are raw python objects
- `hashmap` - keys are a hash for the python object
- `stringmap` - keys are the python object cast as a string
- `picklemap` - keys are the serialized python object

klepto also includes a few useful decorators providing:

- simple, shallow, or deep rounding of function arguments
- cryptographic key generation, with masking of selected arguments

Current Release

This version is klepto-0.1.4.

The latest released version of klepto is available from:

http://trac.mystic.cacr.caltech.edu/project/pathos

or:

https://github.com/uqfoundation/klepto/releases

or also:

https://pypi.python.org/pypi/klepto

klepto is distributed under a 3-clause BSD license.

>>> import klepto
>>> print (klepto.license())

Development Version

You can get the latest development version with all the shiny new features at:

https://github.com/uqfoundation

If you have a new contribution, please submit a pull request.

Installation

klepto is packaged to install from source, so you must download the tarball, unzip, and run the installer:

[download]
$ tar -xvzf klepto-0.1.4.tgz
$ cd klepto-0.1.4
$ python setup py build
$ python setup py install

You will be warned of any missing dependencies and/or settings after you run the “build” step above.

Alternately, klepto can be installed with pip or easy_install:

$ pip install klepto

Requirements

klepto requires:

- python2, version >= 2.5  *or*  python3, version >= 3.1  *or*  pypy
- dill, version >= 0.2.7
- pox, version >= 0.2.3

Optional requirements:

- sqlalchemy, version >= 0.8.4
- setuptools, version >= 0.6

More Information

Probably the best way to get started is to look at the tests that are provide within klepto. See klepto.tests for a set of scripts that test the caching and archiving functionalities in klepto. The source code is also generally well documented, so further questions may be resolved by inspecting the code itself. Please also feel free to submit a ticket on github, or ask a question on stackoverflow (@Mike McKerns).

klepto is an active research tool. There are a growing number of publications and presentations that discuss real-world examples and new features of klepto in greater detail than presented in the user’s guide. If you would like to share how you use klepto in your work, please post a link or send an email (to mmckerns at uqfoundation dot org).

Citation

If you use klepto to do research that leads to publication, we ask that you acknowledge use of klepto by citing the following in your publication:

Michael McKerns and Michael Aivazis,
"pathos: a framework for heterogeneous computing", 2010- ;
http://dev.danse.us/trac/pathos

Please see http://trac.mystic.cacr.caltech.edu/project/pathos for further information.

 
File Type Py Version Uploaded on Size
klepto-0.1.4.tar.gz (md5) Source 2017-07-07 68KB