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Source: persalys
Section: science
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Pierre Gruet <pgt@debian.org>,
Julien Schueller <schueller@phimeca.com>
Build-Depends: debhelper-compat (= 13),
cmake,
dh-python,
python3-dev,
xauth <!nocheck>,
xvfb <!nocheck>
Build-Depends-Arch: gfortran,
docbook-to-man,
libboost-locale-dev,
libboost-program-options-dev,
libopenturns-dev (>= 1.26),
libqt5opengl5-dev,
libqwt-qt5-dev,
poppler-utils,
python3-openturns (>= 1.26),
swig,
texlive,
texlive-latex-extra
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/science-team/persalys
Vcs-Git: https://salsa.debian.org/science-team/persalys.git
Homepage: https://www.persalys.fr/
Rules-Requires-Root: no
Package: libpersalys0
Architecture: any
Section: libs
Depends: ${shlibs:Depends},
${misc:Depends}
Description: GUI for uncertainty treatment (shared libraries)
Persalys is a graphical user interface for OpenTURNS, dedicated to the
treatment of uncertainty and the management of variabilities. The software is
a tool between the computer simulation, probabilistic analyses and the data
sciences. The interface is available in French or in English.
.
Persalys allows one to:
- create mathematical models: analytical, coupling with an external model
(finite elements, ...), FMU;
- analyse the variability of one's parameters thanks to many methods and
visualisation tools;
- statistically analyse one's measuring data, infer probability distributions
or create metamodels.
.
This package contains the shared libraries.
Package: libpersalys-dev
Section: libdevel
Architecture: any
Depends: ${shlibs:Depends},
libpersalys0 (= ${binary:Version}),
${misc:Depends}
Description: GUI for uncertainty treatment (development files)
Persalys is a graphical user interface for OpenTURNS, dedicated to the
treatment of uncertainty and the management of variabilities. The software is
a tool between the computer simulation, probabilistic analyses and the data
sciences. The interface is available in French or in English.
.
Persalys allows one to:
- create mathematical models: analytical, coupling with an external model
(finite elements, ...), FMU;
- analyse the variability of one's parameters thanks to many methods and
visualisation tools;
- statistically analyse one's measuring data, infer probability distributions
or create metamodels.
.
This package contains the development files.
Package: persalys
Architecture: any
Depends: ${shlibs:Depends},
libpersalys0 (= ${binary:Version}),
python3-persalys (= ${binary:Version}),
${misc:Depends}
Description: GUI for uncertainty treatment and variabilities management
Persalys is a graphical user interface for OpenTURNS, dedicated to the
treatment of uncertainty and the management of variabilities. The software is
a tool between the computer simulation, probabilistic analyses and the data
sciences. The interface is available in French or in English.
.
Persalys allows one to:
- create mathematical models: analytical, coupling with an external model
(finite elements, ...), FMU;
- analyse the variability of one's parameters thanks to many methods and
visualisation tools;
- statistically analyse one's measuring data, infer probability distributions
or create metamodels.
Package: python3-persalys
Section: python
Architecture: any
Depends: ${shlibs:Depends},
libpersalys0 (= ${binary:Version}),
python3-openturns (>= 1.26),
${misc:Depends},
${python3:Depends}
Description: GUI for uncertainty treatment (Python bindings)
Persalys is a graphical user interface for OpenTURNS, dedicated to the
treatment of uncertainty and the management of variabilities. The software is
a tool between the computer simulation, probabilistic analyses and the data
sciences. The interface is available in French or in English.
.
Persalys allows one to:
- create mathematical models: analytical, coupling with an external model
(finite elements, ...), FMU;
- analyse the variability of one's parameters thanks to many methods and
visualisation tools;
- statistically analyse one's measuring data, infer probability distributions
or create metamodels.
.
This package contains the Python3 bindings.
|
