[python-bumps] 07/20: disable python3-bumps\

[Drew Parsons]

This is an automated email from the git hooks/post-receive script.

dparsons pushed a commit to tag debian/0.7.6-1
in repository python-bumps.

commit ce28f69a84d44470d4178c9e77d2bfbd59dd18fb
Author: Drew Parsons <dparsons at debian.org>
Date:   Sun Oct 29 09:38:08 2017 +0800

    disable python3-bumps\
    
    python3-bumps can be built but has been deactivated since wx is not
    yet available for python3, see Bug#880032.
---
 debian/changelog |  2 ++
 debian/control   | 58 ++++++++++++++++++++++++++++----------------------------
 debian/rules     |  2 +-
 3 files changed, 32 insertions(+), 30 deletions(-)

diff --git a/debian/changelog b/debian/changelog
index 6317ac2..6e60692 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -2,5 +2,7 @@ python-bumps (0.7.6-1) UNRELEASED; urgency=medium
 
   * Team upload.
   * Initial release (Closes: #879829)
+  * python3-bumps can be built but has been deactivated since wx is
+    not yet available for python3, see Bug#880032.
 
  -- Drew Parsons <Drew Parsons <dparsons at debian.org>>  Thu, 26 Oct 2017 20:23:04 +0800
diff --git a/debian/control b/debian/control
index 8a0cbda..7009c8d 100644
--- a/debian/control
+++ b/debian/control
@@ -41,35 +41,35 @@ Description: data fitting and Bayesian uncertainty modeling for inverse problems
  .
  This package installs the library for Python 2.
 
-Package: python3-bumps
-Architecture: all
-Depends: python3-matplotlib, ${python3:Depends}, ${misc:Depends}
-Suggests: python-bumps-doc
-Description: data fitting and Bayesian uncertainty modeling for inverse problems (Python 3)
- Bumps is a set of routines for curve fitting and uncertainty analysis
- from a Bayesian perspective. In addition to traditional optimizers
- which search for the best minimum they can find in the search space,
- bumps provides uncertainty analysis which explores all viable minima
- and finds confidence intervals on the parameters based on uncertainty
- in the measured values. Bumps has been used for systems of up to 100
- parameters with tight constraints on the parameters. Full uncertainty
- analysis requires hundreds of thousands of function evaluations,
- which is only feasible for cheap functions, systems with many
- processors, or lots of patience.
- .
- Bumps includes several traditional local optimizers such as
- Nelder-Mead simplex, BFGS and differential evolution. Bumps
- uncertainty analysis uses Markov chain Monte Carlo to explore the
- parameter space. Although it was created for curve fitting problems,
- Bumps can explore any probability density function, such as those
- defined by PyMC. In particular, the bumps uncertainty analysis works
- well with correlated parameters.
- .
- Bumps can be used as a library within your own applications, or as a
- framework for fitting, complete with a graphical user interface to
- manage your models.
- .
- This package installs the library for Python 3.
+#Package: python3-bumps
+#Architecture: all
+#Depends: python3-matplotlib, ${python3:Depends}, ${misc:Depends}
+#Suggests: python-bumps-doc
+#Description: data fitting and Bayesian uncertainty modeling for inverse problems (Python 3)
+# Bumps is a set of routines for curve fitting and uncertainty analysis
+# from a Bayesian perspective. In addition to traditional optimizers
+# which search for the best minimum they can find in the search space,
+# bumps provides uncertainty analysis which explores all viable minima
+# and finds confidence intervals on the parameters based on uncertainty
+# in the measured values. Bumps has been used for systems of up to 100
+# parameters with tight constraints on the parameters. Full uncertainty
+# analysis requires hundreds of thousands of function evaluations,
+# which is only feasible for cheap functions, systems with many
+# processors, or lots of patience.
+# .
+# Bumps includes several traditional local optimizers such as
+# Nelder-Mead simplex, BFGS and differential evolution. Bumps
+# uncertainty analysis uses Markov chain Monte Carlo to explore the
+# parameter space. Although it was created for curve fitting problems,
+# Bumps can explore any probability density function, such as those
+# defined by PyMC. In particular, the bumps uncertainty analysis works
+# well with correlated parameters.
+# .
+# Bumps can be used as a library within your own applications, or as a
+# framework for fitting, complete with a graphical user interface to
+# manage your models.
+# .
+# This package installs the library for Python 3.
 
 Package: python-bumps-doc
 Architecture: all
diff --git a/debian/rules b/debian/rules
index 76f2467..1720e8c 100755
--- a/debian/rules
+++ b/debian/rules
@@ -10,7 +10,7 @@ export PYBUILD_NAME=bumps
 
 override_dh_install:
 	dh_install
-	mv debian/python3-bumps/usr/bin/bumps debian/python3-bumps/usr/bin/bumps3
+#	mv debian/python3-bumps/usr/bin/bumps debian/python3-bumps/usr/bin/bumps3
 
 # If you need to rebuild the Sphinx documentation
 # Add spinxdoc to the dh --with line

-- 
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