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Name: dill
Version: 0.2.7.1
Summary: serialize all of python
Home-page: http://www.cacr.caltech.edu/~mmckerns/dill.htm
Author: Mike McKerns
Author-email: UNKNOWN
License: 3-clause BSD
Download-URL: http://dev.danse.us/packages
Description: -----------------------------
dill: serialize all of python
-----------------------------
About Dill
==========
`dill` extends python's `pickle` module for serializing and de-serializing
python objects to the majority of the built-in python types. Serialization
is the process of converting an object to a byte stream, and the inverse
of which is converting a byte stream back to on python object hierarchy.
`dill` provides the user the same interface as the `pickle` module, and
also includes some additional features. In addition to pickling python
objects, `dill` provides the ability to save the state of an interpreter
session in a single command. Hence, it would be feasable to save a
interpreter session, close the interpreter, ship the pickled file to
another computer, open a new interpreter, unpickle the session and
thus continue from the 'saved' state of the original interpreter
session.
`dill` can be used to store python objects to a file, but the primary
usage is to send python objects across the network as a byte stream.
`dill` is quite flexible, and allows arbitrary user defined classes
and functions to be serialized. Thus `dill` is not intended to be
secure against erroneously or maliciously constructed data. It is
left to the user to decide whether the data they unpickle is from
a trustworthy source.
`dill` is part of `pathos`, a python framework for heterogeneous computing.
`dill` 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/dill/issues.
Major Features
==============
`dill` can pickle the following standard types::
- none, type, bool, int, long, float, complex, str, unicode,
- tuple, list, dict, file, buffer, builtin,
- both old and new style classes,
- instances of old and new style classes,
- set, frozenset, array, functions, exceptions
`dill` can also pickle more 'exotic' standard types::
- functions with yields, nested functions, lambdas,
- cell, method, unboundmethod, module, code, methodwrapper,
- dictproxy, methoddescriptor, getsetdescriptor, memberdescriptor,
- wrapperdescriptor, xrange, slice,
- notimplemented, ellipsis, quit
`dill` cannot yet pickle these standard types::
- frame, generator, traceback
`dill` also provides the capability to::
- save and load python interpreter sessions
- save and extract the source code from functions and classes
- interactively diagnose pickling errors
Current Release
===============
This version is `dill-0.2.7.1`.
The latest released version of `dill` is available from::
http://trac.mystic.cacr.caltech.edu/project/pathos
or::
https://github.com/uqfoundation/dill/releases
or also::
https://pypi.python.org/pypi/dill
`dill` is distributed under a 3-clause BSD license.
>>> import dill
>>> print (dill.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
============
`dill` is packaged to install from source, so you must
download the tarball, unzip, and run the installer::
[download]
$ tar -xvzf dill-0.2.7.1.tar.gz
$ cd dill-0.2.7.1
$ 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, `dill` can be installed with `pip` or `easy_install`::
$ pip install dill
Requirements
============
`dill` requires::
- python2, version >= 2.5 *or* python3, version >= 3.1 *or* pypy
- pyreadline, version >= 1.7.1 (on windows)
Optional requirements::
- setuptools, version >= 0.6
- objgraph, version >= 1.7.2
More Information
================
Probably the best way to get started is to look at the tests that are
provided within `dill`. See `dill.tests` for a set of scripts that demonstrate
how `dill` can serialize different python objects. Since `dill` conforms
to the `pickle` interface, the examples and documentation at
http://docs.python.org/library/pickle.html also apply to `dill` if one will
`import dill as pickle`. 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).
`dill` is an active research tool. There are a growing number of publications
and presentations that discuss real-world examples and new features of `dill`
in greater detail than presented in the user's guide. If you would like to
share how you use `dill` in your work, please post a link or send an email
(to mmckerns at uqfoundation dot org).
Citation
========
If you use `dill` to do research that leads to publication, we ask that you
acknowledge use of `dill` by citing the following in your publication::
M.M. McKerns, L. Strand, T. Sullivan, A. Fang, M.A.G. Aivazis,
"Building a framework for predictive science", Proceedings of
the 10th Python in Science Conference, 2011;
http://arxiv.org/pdf/1202.1056
Michael McKerns and Michael Aivazis,
"pathos: a framework for heterogeneous computing", 2010- ;
http://trac.mystic.cacr.caltech.edu/project/pathos
Please see http://trac.mystic.cacr.caltech.edu/project/pathos or
http://arxiv.org/pdf/1202.1056 for further information.
Platform: Linux
Platform: Windows
Platform: Mac
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
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