[libmtj-java] 07/23: Package description and doc package (build untested)

[Andreas Tille]

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tille pushed a commit to branch master
in repository libmtj-java.

commit de07eb5b0f88c76843c260e201ef59d08555da38
Author: Andreas Tille <tille at debian.org>
Date:   Sun Jun 3 12:06:51 2012 +0000

    Package description and doc package (build untested)
---
 debian/control                 | 36 +++++++++++++++++++++++++++++++++---
 debian/libmtj-java-doc.javadoc |  1 +
 2 files changed, 34 insertions(+), 3 deletions(-)

diff --git a/debian/control b/debian/control
index 37bced1..f7fbfbc 100644
--- a/debian/control
+++ b/debian/control
@@ -12,7 +12,37 @@ Vcs-Svn: svn://svn.debian.org/debian-med/trunk/packages/libmtj-java/trunk
 Vcs-Browser: http://svn.debian.org/wsvn/debian-med/trunk/packages/libmtj-java/trunk/
 
 Package: libmtj-java
-Architecture: any
-Depends: ${shlibs:Depends}, ${misc:Depends}, ${java:Depends}
+Architecture: aall
+Depends: ${misc:Depends}, ${java:Depends}
 Recommends: ${java:Recommends}
-Description: 
\ No newline at end of file
+Description: Java library for developing numerical applications
+ MTJ is designed to be used as a library for developing numerical
+ applications, both for small and large scale computations. The library
+ is based on BLAS and LAPACK for its dense and structured sparse
+ computations, and on the Templates project for unstructured sparse
+ operations.
+ .
+ MTJ uses the netlib-java project as a backend, which can be set up to
+ use machine-optimised BLAS libraries for improved performance of dense
+ matrix operations, falling back to a pure Java implementation. This
+ ensures perfect portability, while allowing for improved performance in
+ a production environment.
+
+Package: libmtj-java-doc
+Architecture: all
+Depends: ${misc:Depends}, ${java:Depends}
+Recommends: ${java:Recommends}
+Description: Java library for developing numerical applications (documentation)
+ MTJ is designed to be used as a library for developing numerical
+ applications, both for small and large scale computations. The library
+ is based on BLAS and LAPACK for its dense and structured sparse
+ computations, and on the Templates project for unstructured sparse
+ operations.
+ .
+ MTJ uses the netlib-java project as a backend, which can be set up to
+ use machine-optimised BLAS libraries for improved performance of dense
+ matrix operations, falling back to a pure Java implementation. This
+ ensures perfect portability, while allowing for improved performance in
+ a production environment.
+ .
+ This package contains the javadoc documentation files.
diff --git a/debian/libmtj-java-doc.javadoc b/debian/libmtj-java-doc.javadoc
new file mode 100644
index 0000000..e135aee
--- /dev/null
+++ b/debian/libmtj-java-doc.javadoc
@@ -0,0 +1 @@
+javadoc /usr/share/doc/libmtj-java

-- 
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