[med-svn] [python-cobra] 01/04: Add control block for documentation package

Afif Elghraoui afif-guest at moszumanska.debian.org
Wed Aug 5 03:31:56 UTC 2015


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afif-guest pushed a commit to branch build-doc-package
in repository python-cobra.

commit 8fb727c0dba5597e72f903891d3802a6363460fa
Author: Afif Elghraoui <afif at ghraoui.name>
Date:   Tue Aug 4 19:09:44 2015 -0700

    Add control block for documentation package
---
 debian/control | 23 +++++++++++++++++++++--
 1 file changed, 21 insertions(+), 2 deletions(-)

diff --git a/debian/control b/debian/control
index 1aedc90..89973cc 100644
--- a/debian/control
+++ b/debian/control
@@ -34,7 +34,8 @@ Recommends: python-numpy,
 	    python-scipy,
 	    libsbml5-python,
 	    python-pandas
-Suggests: python-matplotlib
+Suggests: python-cobra-doc,
+	  python-matplotlib
 Description: constraint-based modeling of biological networks (Python 2)
  COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely
  used for genome-scale modeling of metabolic networks in both prokaryotes
@@ -55,7 +56,8 @@ Depends: ${shlibs:Depends},
 Recommends: python3-numpy,
 	    python3-scipy,
 	    python3-pandas
-Suggests: python3-matplotlib
+Suggests: python-cobra-doc,
+	  python3-matplotlib
 Description: constraint-based modeling of biological networks (Python 3)
  COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely
  used for genome-scale modeling of metabolic networks in both prokaryotes
@@ -80,3 +82,20 @@ Description: constraint-based modeling of biological networks (data)
  analyses.
  .
  This package provides sample data files.
+
+Package: python-cobra-doc
+Architecture: all
+Depends: ${misc:Depends},
+	 libjs-mathjax,
+	 libjs-jquery,
+	 libjs-underscore
+Description: constraint-based modeling of biological networks (documentation)
+ COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely
+ used for genome-scale modeling of metabolic networks in both prokaryotes
+ and eukaryotes. COBRApy is a constraint-based modeling package that is
+ designed to accommodate the biological complexity of the next generation
+ of COBRA models and provides access to commonly used COBRA methods, such
+ as flux balance analysis, flux variability analysis, and gene deletion
+ analyses.
+ .
+ This package provides the library documentation.

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