[bornagain] 03/04: debian/control: fix dependencies and lintian description warnings

[Mika Pflüger]

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mikapfl-guest pushed a commit to branch debian
in repository bornagain.

commit 31e7dafc379c0024cc2e486d280e14d68e727c31
Author: Mika Pflüger <mika at mikapflueger.de>
Date:   Sat Nov 19 16:03:09 2016 +0100

    debian/control: fix dependencies and lintian description warnings
---
 debian/control | 51 ++++++++++++++++++++++++++-------------------------
 1 file changed, 26 insertions(+), 25 deletions(-)

diff --git a/debian/control b/debian/control
index dd79805..b7e4b38 100644
--- a/debian/control
+++ b/debian/control
@@ -2,7 +2,7 @@ Source: bornagain
 Priority: extra
 Maintainer: Debian Science Maintainers <debian-science-maintainers at lists.alioth.debian.org>
 Uploaders: Mika Pflüger <debian at mikapflueger.de>
-Build-Depends: debhelper (>=9), git, cmake, libgsl0-dev, libboost-all-dev, libfftw3-dev, python-dev, python-numpy, python-matplotlib, libtiff5-dev, libeigen3-dev, libyaml-cpp-dev, python-yaml, qt5-default, libqt5designercomponents5, qttools5-dev, qtscript5-dev
+Build-Depends: debhelper (>=9), cmake, libgsl0-dev, libboost-all-dev, libfftw3-dev, python-dev, python-numpy, python-matplotlib, libtiff5-dev, libeigen3-dev, libyaml-cpp-dev, python-yaml, qtbase5-dev, libqt5designercomponents5, qttools5-dev, qtscript5-dev
 Standards-Version: 3.9.8
 Section: science
 Homepage: http://bornagainproject.org/
@@ -12,50 +12,51 @@ Vcs-Browser: https://anonscm.debian.org/git/debian-science/packages/bornagain.gi
 Package: bornagain
 Architecture: any
 Depends: ${misc:Depends}, ${shlibs:Depends}
-Description: Simulating and fitting X-ray and neutron small-angle scattering at grazing incidence
+Description: Simulate and fit X-ray and neutron small-angle scattering at grazing incidence
  BornAgain is a software package to simulate and fit small-angle scattering at
  grazing incidence. It supports analysis of both X-ray (GISAXS) and neutron
  (GISANS) data. Calculations are carried out in the framework of the distorted
  wave Born approximation (DWBA). BornAgain provides a graphical user interface
- for interactive use as well as a generic python and C++ framework for modeling
+ for interactive use as well as a generic Python and C++ framework for modeling
  multilayer samples with smooth or rough interfaces and with various types of
  embedded nanoparticles.
  .
  BornAgain supports:
  .
  Layers:
- * Multilayers without any restrictions on the number of layers
- * Interface roughness correlation
- * Magnetic materials
+  * Multilayers without any restrictions on the number of layers
+  * Interface roughness correlation
+  * Magnetic materials
  .
  Particles:
- * Choice between different shapes of particles (form factors)
- * Particles with inner structures
- * Assemblies of particles
- * Size distribution of the particles (polydispersity)
+  * Choice between different shapes of particles (form factors)
+  * Particles with inner structures
+  * Assemblies of particles
+  * Size distribution of the particles (polydispersity)
  .
  Positions of Particles:
- * Decoupled implementations between vertical and planar positions
- * Vertical distributions: particles at specific depth in layers or on top.
- * Planar distributions:
-   - fully disordered systems
-   - short-range order distribution (paracrystals)
-   - two- and one-dimensional lattices
+  * Decoupled implementations between vertical and planar positions
+  * Vertical distributions: particles at specific depth in layers or on top.
+  * Planar distributions:
+    - fully disordered systems
+    - short-range order distribution (paracrystals)
+    - two- and one-dimensional lattices
  .
  Input Beam:
- * Polarized or unpolarized neutrons
- * X-ray
- * Divergence of the input beam (wavelength, incident angles) following different distributions
- * Possible normalization of the input intensity
+  * Polarized or unpolarized neutrons
+  * X-ray
+  * Divergence of the input beam (wavelength, incident angles) following
+    different distributions
+  * Possible normalization of the input intensity
  .
  Detector:
- * Off specular scattering
- * Two-dimensional intensity matrix, function of the output angles
+  * Off specular scattering
+  * Two-dimensional intensity matrix, function of the output angles
  .
  Use of BornAgain:
- * Simulation of GISAXS and GISANS from the generated sample
- * Fitting to reference data (experimental or numerical)
- * Interactions via Python scripts or Graphical User Interface
+  * Simulation of GISAXS and GISANS from the generated sample
+  * Fitting to reference data (experimental or numerical)
+  * Interactions via Python scripts or Graphical User Interface
  .
  If you use BornAgain in your work, please cite
   C. Durniak, M. Ganeva, G. Pospelov, W. Van Herck, J. Wuttke (2015), BornAgain

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