./wip/py-dill, Serialize all of python

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Branch: CURRENT, Version: 0.3.2, Package name: py37-dill-0.3.2, Maintainer: kamelderouiche

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.


Required to run:
[devel/py-setuptools] [devel/readline] [lang/python27]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 579007426983214b21dcbc8e9393571939c7cf9a
RMD160: d9673f22c08141b85567b036a1ac1ad9d761eb6a
Filesize: 173.408 KB

Version history: (Expand)


CVS history: (Expand)


   2014-06-09 23:12:57 by Kamel Derouiche | Files touched by this commit (5)
Log message:
Import py27-dill-0.2.1 as wip/py-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 funcitons 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.