diff --git a/doc/conf.py b/doc/conf.py index f7489c8b1cfdea70ead07e0e79492d86a86eccf8..e9d6a755deff8f714ed95c1413b94169b7f7365c 100644 --- a/doc/conf.py +++ b/doc/conf.py @@ -103,7 +103,7 @@ exclude_patterns = ['_build', 'ltfatpy.comp.rst'] # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. -show_authors = True +show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' diff --git a/doc/copyright.rst b/doc/copyright.rst index ba7cb0b3e030ec4c352768c3d1656ea8db681f49..d75986d11063d0debddda96b953086a530664def 100644 --- a/doc/copyright.rst +++ b/doc/copyright.rst @@ -1,6 +1,6 @@ -Copyright(c) 2016: ------------------- +Copyright(c) 2016 +----------------- * LabEx Archimède: http://labex-archimede.univ-amu.fr/ * Laboratoire d'Informatique Fondamentale : http://www.lif.univ-mrs.fr/ @@ -10,27 +10,27 @@ Copyright(c) 2016: This software is a port from LTFAT 2.1.0 : Copyright (C) 2005-2016 Peter L. Soendergaard <peter@sonderport.dk>. -Contributors: -------------- +Contributors +------------ * Denis Arrivault <contact.dev_AT_lif.univ-mrs.fr> * Florent Jaillet <contact.dev_AT_lif.univ-mrs.fr> -Description: ------------- +Description +----------- ltfatpy is a partial Python port of the Large Time/Frequency Analysis Toolbox (http://ltfat.sourceforge.net/), a MATLAB®/Octave toolbox for working with time-frequency analysis and synthesis. -Version: --------- +Version +------- * ltfatpy version = 1.0.4 * LTFAT version = 2.1.0 -Licence: --------- +Licence +------- This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by diff --git a/setup.py b/setup.py index d800244248b849dee222f9417bdb3275e1b832fb..f359cef23bb27e429101861c0cee757293c75769 100755 --- a/setup.py +++ b/setup.py @@ -259,7 +259,7 @@ def setup_package(): setup(name="ltfatpy", version=VERSION, - description='ltfat in Python', + description='The Large Time-Frequency Toolbox (LTFAT) in Python', long_description=(read('README.rst') + '\n\n' + read('HISTORY.rst') + '\n\n' + read('AUTHORS.rst')),