Accepting request 615078 from home:jengelh:branches:devel:languages:python

- Remove filler wording from description.

OBS-URL: https://build.opensuse.org/request/show/615078
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-colorspacious?expand=0&rev=4

python-colorspacious.changes

@@ -1,3 +1,8 @@
+-------------------------------------------------------------------
+Thu Jun  7 20:43:07 UTC 2018 - jengelh@inai.de
+
+- Remove filler wording from description.
+
 -------------------------------------------------------------------
 Thu May  3 14:07:08 UTC 2018 - toddrme2178@gmail.com
 

python-colorspacious.spec

@@ -13,6 +13,7 @@
 # published by the Open Source Initiative.
 
 # Please submit bugfixes or comments via http://bugs.opensuse.org/
+#
 
 
 %{?!python_module:%define python_module() python-%{**} python3-%{**}}
@@ -20,10 +21,10 @@
 Name:           python-colorspacious
 Version:        1.1.0
 Release:        0
-License:        MIT
 Summary:        Python library for doing colorspace conversions
-Url:            https://github.com/njsmith/colorspacious
+License:        MIT
 Group:          Development/Languages/Python
+Url:            https://github.com/njsmith/colorspacious
 Source:         https://files.pythonhosted.org/packages/source/c/colorspacious/colorspacious-%{version}.zip
 BuildRequires:  %{python_module devel}
 BuildRequires:  %{python_module numpy}
@@ -40,14 +41,13 @@ BuildArch:      noarch
 %python_subpackages
 
 %description
-Colorspacious is a powerful, accurate, and easy-to-use library for
-performing colorspace conversions.
+Colorspacious is a library for performing colorspace conversions.
 
 In addition to the most common standard colorspaces (sRGB, XYZ, xyY,
-CIELab, CIELCh), we also include: color vision deficiency ("color
-blindness") simulations using the approach of Machado et al (2009); a
-complete implementation of `CIECAM02
-<https://en.wikipedia.org/wiki/CIECAM02>`_; and the perceptually
+CIELab, CIELCh), it also includes color vision deficiency ("color
+blindness") simulations using the approach of Machado et al (2009), a
+complete implementation of CIECAM02
+<https://en.wikipedia.org/wiki/CIECAM02>, and the perceptually
 uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
 (2006).