[med-svn] [examl] 01/01: Beginn minimal test, needs more implementation of examples inside doc

[Andreas Tille]

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tille pushed a commit to branch master
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commit f8edf05f3099765b44546b402d9aed2328c185d6
Author: Andreas Tille <tille at debian.org>
Date:   Wed Feb 15 21:25:12 2017 +0100

    Beginn minimal test, needs more implementation of examples inside doc
---
 debian/control             | 28 ++++++++++++++--------------
 debian/tests/control       |  3 +++
 debian/tests/run-unit-test | 16 ++++++++++++++++
 3 files changed, 33 insertions(+), 14 deletions(-)

diff --git a/debian/control b/debian/control
index c601c22..aba9955 100644
--- a/debian/control
+++ b/debian/control
@@ -15,21 +15,21 @@ Architecture: any
 Depends: ${shlibs:Depends},
          ${misc:Depends}
 Description: Exascale Maximum Likelihood (ExaML) code for phylogenetic inference
- Exascale Maximum Likelihood (ExaML) is a code for phylogenetic inference using
- MPI. This code implements the popular RAxML search algorithm for maximum
- likelihood based inference of phylogenetic trees.
+ Exascale Maximum Likelihood (ExaML) is a code for phylogenetic inference
+ using MPI. This code implements the popular RAxML search algorithm for
+ maximum likelihood based inference of phylogenetic trees.
  .
  ExaML is a strapped-down light-weight version of RAxML for phylogenetic
- inference on huge datasets. It can only execute some very basic functions and is
- intended for computer-savvy users that can write little perl-scripts and have
- experience using queue submission scripts for clusters. ExaML only implements
- the CAT and GAMMA models of rate heterogeneity for binary, DNA, and protein
- data.
+ inference on huge datasets. It can only execute some very basic
+ functions and is intended for computer-savvy users that can write little
+ perl-scripts and have experience using queue submission scripts for
+ clusters. ExaML only implements the CAT and GAMMA models of rate
+ heterogeneity for binary, DNA, and protein data.
  .
- ExaML uses a radically new MPI parallelization approach that yields improved
- parallel efficiency, in particular on partitioned multi-gene or whole-genome
- datasets. It also implements a new load balancing algorithm that yields better
- parallel efficiency.
+ ExaML uses a radically new MPI parallelization approach that yields
+ improved parallel efficiency, in particular on partitioned multi-gene or
+ whole-genome datasets. It also implements a new load balancing algorithm
+ that yields better parallel efficiency.
  .
- It is up to 4 times faster than its predecessor RAxML-Light and scales to a
- larger number of processors.
+ It is up to 4 times faster than its predecessor RAxML-Light and scales
+ to a larger number of processors.
diff --git a/debian/tests/control b/debian/tests/control
new file mode 100644
index 0000000..dca7a9c
--- /dev/null
+++ b/debian/tests/control
@@ -0,0 +1,3 @@
+Tests: run-unit-test
+Depends: @, pocl-opencl-icd
+Restrictions: allow-stderr
diff --git a/debian/tests/run-unit-test b/debian/tests/run-unit-test
new file mode 100644
index 0000000..c1438f5
--- /dev/null
+++ b/debian/tests/run-unit-test
@@ -0,0 +1,16 @@
+#!/bin/bash
+set -e
+
+pkg="examl"
+
+if [ "$ADTTMP" = "" ] ; then
+  ADTTMP=`mktemp -d /tmp/${pkg}-test.XXXXXX`
+fi
+
+cp -a /usr/share/doc/${pkg}/testData $ADTTMP
+
+cd $ADTTMP
+
+gunzip -r *.gz
+
+parse-examl -s testData/49 -m DNA -n 49.unpartitioned

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