[python-bumps] 04/05: Add python3-bumps package

[Stuart Prescott]

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stuart pushed a commit to branch master
in repository python-bumps.

commit 0ad8621bbc42f5551f83c4783d1e5e47cc6da1b8
Author: Stuart Prescott <stuart at debian.org>
Date:   Sat Nov 4 00:03:09 2017 +1100

    Add python3-bumps package
---
 debian/control                                     | 36 ++++++++++++++++++++++
 ...ython-bumps.manpages => python3-bumps.manpages} |  0
 debian/rules                                       |  2 +-
 3 files changed, 37 insertions(+), 1 deletion(-)

diff --git a/debian/control b/debian/control
index a46e195..1fe1c23 100644
--- a/debian/control
+++ b/debian/control
@@ -70,6 +70,42 @@ Description: data fitting and Bayesian uncertainty modeling for inverse problems
  .
  This package installs the library for Python 2.
 
+Package: python3-bumps
+Architecture: all
+Section: python
+Depends:
+ python3-matplotlib,
+ ${misc:Depends},
+ ${python3:Depends}
+Suggests:
+ python-bumps-doc,
+ python3-sklearn
+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
 Section: doc
diff --git a/debian/python-bumps.manpages b/debian/python3-bumps.manpages
similarity index 100%
rename from debian/python-bumps.manpages
rename to debian/python3-bumps.manpages
diff --git a/debian/rules b/debian/rules
index e068bc8..5443f36 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
+	rm debian/python-bumps/usr/bin/bumps
 
 override_dh_auto_build:
 	dh_auto_build

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