This file is indexed.

/usr/lib/python2.7/dist-packages/neo-0.3.3.egg-info/PKG-INFO is in python-neo 0.3.3-1.

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
Metadata-Version: 1.1
Name: neo
Version: 0.3.3
Summary: Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Home-page: http://neuralensemble.org/neo
Author: Neo authors and contributors
Author-email: sgarcia at olfac.univ-lyon1.fr
License: BSD-3-Clause
Description: ===
        Neo
        ===
        
        Neo is a package for representing electrophysiology data in Python, together
        with support for reading a wide range of neurophysiology file formats, including
        Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for
        writing to a subset of these formats plus non-proprietary formats including HDF5.
        
        The goal of Neo is to improve interoperability between Python tools for
        analyzing, visualizing and generating electrophysiology data (such as
        OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common,
        shared object model. In order to be as lightweight a dependency as possible,
        Neo is deliberately limited to represention of data, with no functions for data
        analysis or visualization.
        
        Neo implements a hierarchical data model well adapted to intracellular and
        extracellular electrophysiology and EEG data with support for multi-electrodes
        (for example tetrodes). Neo's data objects build on the quantities_ package,
        which in turn builds on NumPy by adding support for physical dimensions. Thus
        neo objects behave just like normal NumPy arrays, but with additional metadata,
        checks for dimensional consistency and automatic unit conversion.
        
        Code status
        -----------
        
        .. image:: https://secure.travis-ci.org/NeuralEnsemble/python-neo.png?branch=master
           :target: https://travis-ci.org/NeuralEnsemble/python-neo.png
        
        More information
        ----------------
        
        - Home page: http://neuralensemble.org/neo
        - Mailing list: https://groups.google.com/forum/?fromgroups#!forum/neuralensemble
        - Documentation: http://packages.python.org/neo/
        - Bug reports: https://github.com/NeuralEnsemble/python-neo/issues
        
        For installation instructions, see doc/source/install.rst
        
        :copyright: Copyright 2010-2014 by the Neo team, see AUTHORS.
        :license: 3-Clause Revised BSD License, see LICENSE.txt for details.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Scientific/Engineering