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Source: openturns
Section: science
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Denis Barbier <barbier@debian.org>
Build-Depends: debhelper (>= 10), dh-python, quilt, gfortran, g++ (>= 4:7),
 bison, flex, cmake, bc,
 libmuparser-dev, libxml2-dev, liblapack-dev, libblas-dev,
 libboost-math-dev, libhmat-oss-dev, libnlopt-cxx-dev,
 libtbb-dev [i386 amd64 ia64],
 r-base-core, python-dev, python3-dev, swig (>= 2.0.9)
Standards-Version: 4.1.3
Homepage: http://www.openturns.org/
Vcs-Browser: https://salsa.debian.org/science-team/openturns
Vcs-Git: https://salsa.debian.org/science-team/openturns.git
X-Python-Version: current
X-Python3-Version: current

Package: libopenturns0.12
Section: libs
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Suggests: python-openturns, r-base-core, ghostscript, r-other-rot (= ${binary:Version})
Replaces: openturns-wrapper
Breaks: openturns-wrapper
Description: dynamic libraries for OpenTURNS
 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * define the outputs of interest and decision criteria;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity
  * rank the sources of uncertainty
 .
 OpenTURNS is a large project with more than 300 C++ classes which
 uses well known and supported software such as R for the statistical
 methods and BLAS/LAPACK for the linear algebra.
 .
 This package provides the dynamic libraries.
 .
 The library implements almost all the treatments of uncertainty that
 OpenTURNS can provide. It is designed to be linked against any user
 specific application, or with either the textual front-end (see
 python-openturns or python3-openturns packages).
 .
 The main function of that library is giving to specific applications
 all the functionalities needed to treat uncertainties in
 studies. Targeted users are all engineers who want to introduce the
 probabilistic dimension in their so far deterministic studies.

Package: libopenturns-dev
Section: libdevel
Architecture: any
Depends: ${misc:Depends}, libopenturns0.12 (= ${binary:Version}),
  libmuparser-dev, libxml2-dev, liblapack-dev, libblas-dev, libtbb-dev [i386 amd64 ia64], libhmat-oss-dev, libnlopt-cxx-dev
Replaces: python-openturns-dev (<< 1.5-2)
Breaks: python-openturns-dev (<< 1.5-2)
Description: headers and development libraries for OpenTURNS
 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * defining the outputs of interest and decision criterion;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity and
  * rank the sources of uncertainty
 .
 OpenTURNS is a large project with more than 300 C++ classes which
 uses well known and supported software such as R for the statistical
 methods and BLAS/LAPACK for the linear algebra.
 .
 This package provides the OpenTURNS headers should be used if one
 wants to link its application against the library.

Package: python-openturns
Section: python
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, libopenturns0.12 (= ${binary:Version}), ${python:Depends}
Provides: ${python:Provides}
Suggests: python-matplotlib, python-scipy
Description: Python front-end of OpenTURNS (aka TUI)
 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * defining the outputs of interest and decision criterion;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity and
  * rank the sources of uncertainty
 .
 OpenTURNS is a large project with more than 300 C++ classes which
 uses well known and supported software such as R for the statistical
 methods and BLAS/LAPACK for the linear algebra.
 .
 This package provides a textual user interface that gives access to
 all the functionalities provided by the OpenTURNS library.

Package: python3-openturns
Section: python
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, libopenturns0.12 (= ${binary:Version}), ${python3:Depends}
Provides: ${python3:Provides}
Suggests: python3-matplotlib, python3-scipy
Description: Python3 front-end of OpenTURNS (aka TUI)
 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * defining the outputs of interest and decision criterion;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity and
  * rank the sources of uncertainty
 .
 OpenTURNS is a large project with more than 300 C++ classes which
 uses well known and supported software such as R for the statistical
 methods and BLAS/LAPACK for the linear algebra.
 .
 This package provides a textual user interface with Python3 that gives
 access to all the functionalities provided by the OpenTURNS library.

Package: r-other-rot
Section: gnu-r
Architecture: any
Depends: ${misc:Depends}, r-base-core
Description: GNU R package of few tools needed by OpenTURNS
 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * defining the outputs of interest and decision criterion;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity and
  * rank the sources of uncertainty
 .
 OpenTURNS is a large project with more than 300 C++ classes which
 uses well known and supported software such as R for the statistical
 methods and BLAS/LAPACK for the linear algebra.
 .
 This package provides R files needed by some OpenTURNS objects.

Package: openturns-examples
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, python, python-openturns (= ${binary:Version}), libopenturns-dev
Replaces: openturns-wrapper
Breaks: openturns-wrapper
Description: examples of OpenTURNS functionalities
 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * defining the outputs of interest and decision criterion;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity and
  * rank the sources of uncertainty
 .
 OpenTURNS is a large project with more than 300 C++ classes which
 uses well known and supported software such as R for the statistical
 methods and BLAS/LAPACK for the linear algebra.
 .
 This package provides examples which are written either in C++ or in
 Python.
 .
 They are primarly used as validation tests for the whole
 platform but they can also be seen as tutorials for
 beginners.

Package: openturns-validation
Section: science
Architecture: all
Depends: ${misc:Depends}
Description: validation files for OpenTURNS
 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * defining the outputs of interest and decision criterion;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity and
  * rank the sources of uncertainty
 .
 OpenTURNS is a large project with more than 300 C++ classes which
 uses well known and supported software such as R for the statistical
 methods and BLAS/LAPACK for the linear algebra.
 .
 This package includes many maple input files that validates the
 results and the algorithms of OpenTURNS in a mathematical sense.