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Fix failing doctests and post correct example of passwd() usage.
Fix failing doctests and post correct example of passwd() usage.

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release.py
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# -*- coding: utf-8 -*-
"""Release data for the IPython project."""
#-----------------------------------------------------------------------------
# Copyright (c) 2008-2011, IPython Development Team.
# Copyright (c) 2001-2007, Fernando Perez <fernando.perez@colorado.edu>
# Copyright (c) 2001, Janko Hauser <jhauser@zscout.de>
# Copyright (c) 2001, Nathaniel Gray <n8gray@caltech.edu>
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-----------------------------------------------------------------------------
# Name of the package for release purposes. This is the name which labels
# the tarballs and RPMs made by distutils, so it's best to lowercase it.
name = 'ipython'
# IPython version information. An empty _version_extra corresponds to a full
# release. 'dev' as a _version_extra string means this is a development
# version
_version_major = 0
_version_minor = 12
_version_micro = '' # use '' for first of series, number for 1 and above
_version_extra = 'dev'
#_version_extra = '' # Uncomment this for full releases
# Construct full version string from these.
_ver = [_version_major, _version_minor]
if _version_micro:
_ver.append(_version_micro)
if _version_extra:
_ver.append(_version_extra)
__version__ = '.'.join(map(str, _ver))
version = __version__ # backwards compatibility name
description = "IPython: Productive Interactive Computing"
long_description = \
"""
IPython provides a rich toolkit to help you make the most out of using Python
interactively. Its main components are:
* Powerful interactive Python shells (terminal- and Qt-based).
* Support for interactive data visualization and use of GUI toolkits.
* Flexible, embeddable interpreters to load into your own projects.
* Tools for high level and interactive parallel computing.
The enhanced interactive Python shells have the following main features:
* Comprehensive object introspection.
* Input history, persistent across sessions.
* Caching of output results during a session with automatically generated
references.
* Readline based name completion.
* Extensible system of 'magic' commands for controlling the environment and
performing many tasks related either to IPython or the operating system.
* Configuration system with easy switching between different setups (simpler
than changing $PYTHONSTARTUP environment variables every time).
* Session logging and reloading.
* Extensible syntax processing for special purpose situations.
* Access to the system shell with user-extensible alias system.
* Easily embeddable in other Python programs and wxPython GUIs.
* Integrated access to the pdb debugger and the Python profiler.
The parallel computing architecture has the following main features:
* Quickly parallelize Python code from an interactive Python/IPython session.
* A flexible and dynamic process model that be deployed on anything from
multicore workstations to supercomputers.
* An architecture that supports many different styles of parallelism, from
message passing to task farming.
* Both blocking and fully asynchronous interfaces.
* High level APIs that enable many things to be parallelized in a few lines
of code.
* Share live parallel jobs with other users securely.
* Dynamically load balanced task farming system.
* Robust error handling in parallel code.
The latest development version is always available from IPython's `GitHub
site <http://github.com/ipython>`_.
"""
license = 'BSD'
authors = {'Fernando' : ('Fernando Perez','fperez.net@gmail.com'),
'Janko' : ('Janko Hauser','jhauser@zscout.de'),
'Nathan' : ('Nathaniel Gray','n8gray@caltech.edu'),
'Ville' : ('Ville Vainio','vivainio@gmail.com'),
'Brian' : ('Brian E Granger', 'ellisonbg@gmail.com'),
'Min' : ('Min Ragan-Kelley', 'benjaminrk@gmail.com')
}
author = 'The IPython Development Team'
author_email = 'ipython-dev@scipy.org'
url = 'http://ipython.org'
# This will only be valid for actual releases sent to PyPI, but that's OK since
# those are the ones we want pip/easy_install to be able to find.
download_url = 'http://archive.ipython.org/release/%s' % version
platforms = ['Linux','Mac OSX','Windows XP/2000/NT']
keywords = ['Interactive','Interpreter','Shell','Parallel','Distributed']
classifiers = [
'Intended Audience :: Developers',
'Intended Audience :: Science/Research'
'License :: OSI Approved :: BSD License',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.1',
'Programming Language :: Python :: 3.2',
'Topic :: System :: Distributed Computing',
'Topic :: System :: Shells'
]