/usr/lib/python2.7/dist-packages/nitime/version.py is in python-nitime 0.6-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 | """nitime version/release information"""
from nitime.six.moves import map
# Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z"
_version_major = 0
_version_minor = 6
_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))
CLASSIFIERS = ["Development Status :: 3 - Alpha",
"Environment :: Console",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: BSD License",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Topic :: Scientific/Engineering"]
description = "Nitime: timeseries analysis for neuroscience data"
# Note: this long_description is actually a copy/paste from the top-level
# README.txt, so that it shows up nicely on PyPI. So please remember to edit
# it only in one place and sync it correctly.
long_description = """
===================================================
Nitime: timeseries analysis for neuroscience data
===================================================
Nitime is library of tools and algorithms for the analysis of time-series data
from neuroscience experiments. It contains a implementation of numerical
algorithms for time-series analysis both in the time and spectral domains, a
set of container objects to represent time-series, and auxiliary objects that
expose a high level interface to the numerical machinery and make common
analysis tasks easy to express with compact and semantically clear code.
Website and mailing list
========================
Current information can always be found at the nitime `website`_. Questions and
comments can be directed to the mailing `list`_.
.. _website: http://nipy.org/nitime
.. _list: http://mail.scipy.org/mailman/listinfo/nipy-devel
Code
====
You can find our sources and single-click downloads:
* `Main repository`_ on Github.
* Documentation_ for all releases and current development tree.
* Download as a tar/zip file the `current trunk`_.
* Downloads of all `available releases`_.
.. _main repository: http://github.com/nipy/nitime
.. _Documentation: http://nipy.org/nitime
.. _current trunk: http://github.com/nipy/nitime/archives/master
.. _available releases: http://github.com/nipy/nitime/downloads
License information
===================
Nitime is licensed under the terms of the new BSD license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2006-2014, NIPY Developers
All rights reserved.
"""
NAME = "nitime"
MAINTAINER = "Nipy Developers"
MAINTAINER_EMAIL = "nipy-devel@neuroimaging.scipy.org"
DESCRIPTION = description
LONG_DESCRIPTION = long_description
URL = "http://nipy.org/nitime"
DOWNLOAD_URL = "http://github.com/nipy/nitime/downloads"
LICENSE = "Simplified BSD"
AUTHOR = "Nitime developers"
AUTHOR_EMAIL = "nipy-devel@neuroimaging.scipy.org"
PLATFORMS = "OS Independent"
MAJOR = _version_major
MINOR = _version_minor
MICRO = _version_micro
VERSION = __version__
PACKAGES = ['nitime',
'nitime.tests',
'nitime.fmri',
'nitime.fmri.tests',
'nitime.algorithms',
'nitime.algorithms.tests',
'nitime.analysis',
'nitime.analysis.tests',
]
PACKAGE_DATA = {"nitime": ["LICENSE", "tests/*.txt", "tests/*.npy",
"data/*.nii.gz","data/*.txt", "data/*.csv"]}
REQUIRES = ["numpy", "matplotlib", "scipy"]
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