[Python-modules-commits] [colorspacious] 05/08: simplify the long descriptions
Sandro Tosi
morph at moszumanska.debian.org
Sun Sep 18 19:29:55 UTC 2016
This is an automated email from the git hooks/post-receive script.
morph pushed a commit to branch master
in repository colorspacious.
commit f3070efe84f40e28b79d7ef82ae00d104e01f27b
Author: Sandro Tosi <morph at debian.org>
Date: Sun Sep 18 19:57:45 2016 +0100
simplify the long descriptions
---
debian/control | 134 +++------------------------------------------------------
1 file changed, 5 insertions(+), 129 deletions(-)
diff --git a/debian/control b/debian/control
index 24ad84a..e6f77a7 100644
--- a/debian/control
+++ b/debian/control
@@ -20,12 +20,7 @@ Architecture: all
Depends: ${misc:Depends}, ${python:Depends},
Recommends: ${python:Recommends}
Suggests: ${python:Suggests}
-Description: powerful, accurate, and easy-to-use Python library for doing colorspace conversi - Python 2.X
- .. image:: https://travis-ci.org/njsmith/colorspacious.png?branch=master
- :target: https://travis-ci.org/njsmith/colorspacious
- .. image:: https://coveralls.io/repos/njsmith/colorspacious/badge.png?branch=master
- :target: https://coveralls.io/r/njsmith/colorspacious?branch=master
- .
+Description: library for doing colorspace conversions - Python 2.X
Colorspacious is a powerful, accurate, and easy-to-use library for
performing colorspace conversions.
.
@@ -37,76 +32,14 @@ Description: powerful, accurate, and easy-to-use Python library for doing colors
uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
(2006).
.
- To get started, simply write::
- .
- from colorspacious import cspace_convert
- .
- Jp, ap, bp = cspace_convert([64, 128, 255], "sRGB255", "CAM02-UCS")
- .
- This converts an sRGB value (represented as integers between 0-255) to
- CAM02-UCS `J'a'b'` coordinates (assuming standard sRGB viewing
- conditions by default). This requires passing through 4 intermediate
- colorspaces; ``cspace_convert`` automatically finds the optimal route
- and applies all conversions in sequence:
- .
- This function also of course accepts arbitrary NumPy arrays, so
- converting a whole image is just as easy as converting a single value.
- .
- Documentation:
- http://colorspacious.readthedocs.org/
- .
- Installation:
- ``pip install colorspacious``
- .
- Downloads:
- https://pypi.python.org/pypi/colorspacious/
- .
- Code and bug tracker:
- https://github.com/njsmith/colorspacious
- .
- Contact:
- Nathaniel J. Smith <njs at pobox.com>
- .
- Dependencies:
- * Python 2.6+, or 3.3+
- * NumPy
- .
- Developer dependencies (only needed for hacking on source):
- * nose: needed to run tests
- .
- License:
- MIT, see LICENSE.txt for details.
- .
- References:
- .
- * Luo, M. R., Cui, G., & Li, C. (2006). Uniform colour spaces based on
- CIECAM02 colour appearance model. Color Research & Application, 31(4),
- 320–330. doi:10.1002/col.20227
- .
- * Machado, G. M., Oliveira, M. M., & Fernandes, L. A. (2009). A
- physiologically-based model for simulation of color vision
- deficiency. Visualization and Computer Graphics, IEEE Transactions on,
- 15(6), 1291–1298. http://www.inf.ufrgs.br/~oliveira/pubs_files/CVD_Simulation/CVD_Simulation.html
- .
- Other Python packages with similar functionality that you might want
- to check out as well or instead:
- .
- * ``colour``: http://colour-science.org/
- * ``colormath``: http://python-colormath.readthedocs.org/
- * ``ciecam02``: https://pypi.python.org/pypi/ciecam02/
- * ``ColorPy``: http://markkness.net/colorpy/ColorPy.html
+ This package contains the python 2 version of colorspacious
Package: python3-colorspacious
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends},
Recommends: ${python3:Recommends}
Suggests: ${python3:Suggests}
-Description: powerful, accurate, and easy-to-use Python library for doing colorspace conversi
- .. image:: https://travis-ci.org/njsmith/colorspacious.png?branch=master
- :target: https://travis-ci.org/njsmith/colorspacious
- .. image:: https://coveralls.io/repos/njsmith/colorspacious/badge.png?branch=master
- :target: https://coveralls.io/r/njsmith/colorspacious?branch=master
- .
+Description: library for doing colorspace conversions - Python 3.x
Colorspacious is a powerful, accurate, and easy-to-use library for
performing colorspace conversions.
.
@@ -118,64 +51,7 @@ Description: powerful, accurate, and easy-to-use Python library for doing colors
uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
(2006).
.
- To get started, simply write::
- .
- from colorspacious import cspace_convert
- .
- Jp, ap, bp = cspace_convert([64, 128, 255], "sRGB255", "CAM02-UCS")
- .
- This converts an sRGB value (represented as integers between 0-255) to
- CAM02-UCS `J'a'b'` coordinates (assuming standard sRGB viewing
- conditions by default). This requires passing through 4 intermediate
- colorspaces; ``cspace_convert`` automatically finds the optimal route
- and applies all conversions in sequence:
- .
- This function also of course accepts arbitrary NumPy arrays, so
- converting a whole image is just as easy as converting a single value.
- .
- Documentation:
- http://colorspacious.readthedocs.org/
- .
- Installation:
- ``pip install colorspacious``
- .
- Downloads:
- https://pypi.python.org/pypi/colorspacious/
- .
- Code and bug tracker:
- https://github.com/njsmith/colorspacious
- .
- Contact:
- Nathaniel J. Smith <njs at pobox.com>
- .
- Dependencies:
- * Python 2.6+, or 3.3+
- * NumPy
- .
- Developer dependencies (only needed for hacking on source):
- * nose: needed to run tests
- .
- License:
- MIT, see LICENSE.txt for details.
- .
- References:
- .
- * Luo, M. R., Cui, G., & Li, C. (2006). Uniform colour spaces based on
- CIECAM02 colour appearance model. Color Research & Application, 31(4),
- 320–330. doi:10.1002/col.20227
- .
- * Machado, G. M., Oliveira, M. M., & Fernandes, L. A. (2009). A
- physiologically-based model for simulation of color vision
- deficiency. Visualization and Computer Graphics, IEEE Transactions on,
- 15(6), 1291–1298. http://www.inf.ufrgs.br/~oliveira/pubs_files/CVD_Simulation/CVD_Simulation.html
- .
- Other Python packages with similar functionality that you might want
- to check out as well or instead:
- .
- * ``colour``: http://colour-science.org/
- * ``colormath``: http://python-colormath.readthedocs.org/
- * ``ciecam02``: https://pypi.python.org/pypi/ciecam02/
- * ``ColorPy``: http://markkness.net/colorpy/ColorPy.html
+ This package contains the python 3 version of colorspacious
Package: python-colorspacious-doc
Section: doc
@@ -183,4 +59,4 @@ Architecture: all
Priority: extra
Depends: ${misc:Depends}, ${sphinxdoc:Depends}
Description: documentation for the colorspacious Python library
- This package provides documentation for colorspacious
\ No newline at end of file
+ This package provides documentation for colorspacious
--
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