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Merge pull request #937 from minrk/readline...
Merge pull request #937 from minrk/readline Add dirty trick for readline import on OSX to more aggressively detect the presence of libedit masquerading as true GNU readline. Also made the libedit warning extremely loud, so people don't miss it. See the original PR page for the gory details; short version: 1. remove lib-dynload from sys.path before trying to import readline the first time 2. after import, restore lib-dynload to its place in sys.path 3. if import failed without lib-dynload, try it one more time, to get the default module

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release.py
140 lines | 4.8 KiB | text/x-python | PythonLexer
# -*- 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'
]