Source: sasview Section: science Priority: optional Maintainer: Debian Science Maintainers Uploaders: Drew Parsons , Stuart Prescott Build-Depends: debhelper-compat (= 13), dh-python, pyqt5-dev-tools, python3-all-dev, python3-bumps, python3-h5py, python3-ipython, python3-lxml, python3-matplotlib, python3-numpy, python3-periodictable, python3-pil, python3-pyparsing, python3-pytest, python3-pyqt5, python3-qt5reactor, python3-qtconsole, python3-pyqt5.qtsvg, python3-sasmodels (>> 1.0.0~), python3-scipy, python3-setuptools, python3-sphinx (>= 1.6~), python3-xhtml2pdf, xauth, xserver-xephyr, xvfb, Build-Depends-Indep: libjs-jquery, libjs-mathjax, python-bumps-doc (>> 0.7.6-3~), python-sasmodels-doc (>> 0.97~git20180309-1~), rename, texinfo, texlive-fonts-recommended, texlive-plain-generic, texlive-latex-base, texlive-latex-extra, texlive-latex-recommended, Standards-Version: 4.5.1 Homepage: http://www.sasview.org/ Vcs-Git: https://salsa.debian.org/science-team/sasview.git Vcs-Browser: https://salsa.debian.org/science-team/sasview #Testsuite: autopkgtest-pkg-python Rules-Requires-Root: no Package: sasview Architecture: all Depends: python3-pkg-resources, python3-sasview, ${misc:Depends}, ${python3:Depends} Suggests: sasview-doc Description: Small Angle Scattering Analysis suite SasView is a Small Angle Scattering Analysis Software Package, originally developed as part of the NSF DANSE project under the name SansView, now managed by an international collaboration of facilities. . SasView is software for the analysis of Small-Angle Scattering (SAS) data. . It fits analytic functions describing different types of material microstructure to experimental data in order to determine the shape, size and degree of ordering. . SasView also includes tools for calculating scattering length densities, slit sizes, resolution, fringe thicknesses/d-spacings, the (Porod) invariant ('total scattering'), and distance distribution functions. . This package installs the sasview executable script. Package: python3-sasview Architecture: any Section: python Depends: python3-bumps, python3-h5py, python3-ipython, python3-lxml, python3-matplotlib, python3-numpy, python3-periodictable, python3-pil, python3-pyparsing, python3-pyqt5, python3-pyqt5.qtsvg, python3-qt5reactor, python3-qtconsole, python3-sasmodels, python3-scipy, python3-xhtml2pdf, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends} Suggests: sasview-doc Description: Small Angle Scattering Analysis SasView is a Small Angle Scattering Analysis Software Package, originally developed as part of the NSF DANSE project under the name SansView, now managed by an international collaboration of facilities. . SasView is software for the analysis of Small-Angle Scattering (SAS) data. . It fits analytic functions describing different types of material microstructure to experimental data in order to determine the shape, size and degree of ordering. . SasView also includes tools for calculating scattering length densities, slit sizes, resolution, fringe thicknesses/d-spacings, the (Porod) invariant ('total scattering'), and distance distribution functions. . This is the package of Python modules; most users will want the graphical user interface in the sasview package. Package: sasview-doc Architecture: all Multi-Arch: foreign Section: doc Depends: libjs-jquery, libjs-mathjax, ${misc:Depends}, ${sphinxdoc:Depends} Description: Small Angle Scattering Analysis (documentation) SasView is a Small Angle Scattering Analysis Software Package, originally developed as part of the NSF DANSE project under the name SansView, now managed by an international collaboration of facilities. . SasView is software for the analysis of Small-Angle Scattering (SAS) data. . It fits analytic functions describing different types of material microstructure to experimental data in order to determine the shape, size and degree of ordering. . SasView also includes tools for calculating scattering length densities, slit sizes, resolution, fringe thicknesses/d-spacings, the (Porod) invariant ('total scattering'), and distance distribution functions. . This is the documentation package.