Metadata-Version: 1.1
Name: klepto
Version: 0.1.2
Summary: persistent caching to memory, disk, or database
Home-page: http://www.cacr.caltech.edu/~mmckerns
Author: Mike McKerns
Author-email: mmckerns@caltech.edu
License: BSD
Description: ---------------------------------------------------
        klepto: persistent caching to memory, disk, or database
        ---------------------------------------------------
        
        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 the early development stages, and any user feedback is
        highly appreciated. Contact Mike McKerns [mmckerns at caltech dot edu]
        with comments, suggestions, and any bugs you may find. A list of known
        issues is maintained at http://dev.danse.us/trac/pathos/query.
        
        
        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 release version is klepto-0.1.2. You can download it here.
        The latest released version of klepto is always available from::
        
            http://dev.danse.us/trac/pathos
        
        Klepto is distributed under a 3-clause BSD license.
        
        
        Development Release
        ===================
        
        You can get the latest development release with all the shiny new features at::
        
            http://dev.danse.us/packages
        
        or even better, fork us on our github mirror of the svn trunk::
        
            https://github.com/uqfoundation
        
        
        Installation
        ============
        
        Klepto is packaged to install from source, so you must
        download the tarball, unzip, and run the installer::
        
            [download]
            $ tar -xvzf klepto-0.1.2.tgz
            $ cd klepto-0.1.2
            $ 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 easy_install or pip::
        
            [download]
            $ easy_install -f . klepto
        
        
        Requirements
        ============
        
        Klepto requires::
        
            - python2, version >= 2.5  *or*  python3, version >= 3.1
            - dill, version >= 0.2.5
            - pox, version >= 0.2.2
        
        Optional requirements::
        
            - sqlalchemy, version >= 0.8.4
            - setuptools, version >= 0.6
        
        
        Usage Notes
        ===========
        
        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 klepto's caching and archiving functionalities. Klepto's
        source code is also generally well documented, so further questions may
        be resolved by inspecting the code itself.
        
        
        License
        =======
        
        Klepto is distributed under a 3-clause BSD license.
        
            >>> import klepto
            >>> print (klepto.license())
        
        
        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
        
        
        More Information
        ================
        
        Please see http://dev.danse.us/trac/pathos for further information.
        
        
Platform: any
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Physics Programming
