Source: silx
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders:
 Jerome Kieffer <jerome.kieffer@esrf.fr>,
 Picca Frédéric-Emmanuel <picca@debian.org>,
 Alexandre Marie <alexandre.marie@synchrotron-soleil.fr>,
Section: science
Priority: optional
Build-Depends:
 cython3,
 debhelper-compat (= 13),
 dh-python,
 dh-sequence-numpy3,
 dh-sequence-python3,
 help2man,
 ipython3,
 pybuild-plugin-pyproject,
 python3-all-dev,
 python3-fabio,
 python3-h5py,
 python3-hdf5plugin,
 python3-mako,
 python3-matplotlib,
 python3-numpy,
 python3-opengl,
 python3-pil,
 python3-pyopencl,
 python3-pyqt5,
 python3-pyqt5.qtopengl,
 python3-pyqt5.qtsvg,
 python3-pytest <!nocheck>,
 python3-qtconsole,
 python3-scipy,
 python3-setuptools,
 xauth,
 xvfb,
Build-Depends-Indep:
 dh-sequence-sphinxdoc <!nodoc>,
 graphviz <!nodoc>,
 pandoc <!nodoc>,
 python3-nbsphinx <!nodoc>,
 python3-sphinx,
 python3-sphinxcontrib.programoutput,
Standards-Version: 4.6.0
Vcs-Browser: https://salsa.debian.org/science-team/silx
Vcs-Git: https://salsa.debian.org/science-team/silx.git
Homepage: https://github.com/silx-kit/silx
Rules-Requires-Root: no

Package: silx
Architecture: all
Depends:
 python3-silx (>= ${source:Version}),
 ${misc:Depends},
 ${python3:Depends},
 ${shlibs:Depends},
Description: Toolbox for X-Ray data analysis - Executables
 The silx project aims at providing a collection of Python packages to
 support the development of data assessment, reduction and analysis
 applications at synchrotron radiation facilities. It aims at
 providing reading/writing different file formats, data reduction
 routines and a set of Qt widgets to browse and visualize data.
 .
 The current version provides :
 .
  * reading HDF5 file format (with support of SPEC file format)
  * histogramming
  * fitting
  * 1D and 2D visualization using multiple backends (matplotlib or OpenGL)
  * image plot widget with a set of associated tools (See changelog file).
  * Unified browser for HDF5, SPEC and image file formats supporting inspection
    and visualization of n-dimensional datasets.
  * Unified viewer (silx view filename) for HDF5, SPEC and image file formats
  * OpenGL-based widget to display 3D scalar field with
    isosurface and cutting plane.
 .
 This uses the Python 3 version of the package.

Package: python3-silx
Architecture: any
Section: python
Depends:
 ${misc:Depends},
 ${python3:Depends},
 ${shlibs:Depends},
Description: Toolbox for X-Ray data analysis - Python3
 The silx project aims at providing a collection of Python packages to
 support the development of data assessment, reduction and analysis
 applications at synchrotron radiation facilities. It aims at
 providing reading/writing different file formats, data reduction
 routines and a set of Qt widgets to browse and visualize data.
 .
 The current version provides :
 .
  * reading HDF5 file format (with support of SPEC file format)
  * histogramming
  * fitting
  * 1D and 2D visualization using multiple backends (matplotlib or OpenGL)
  * image plot widget with a set of associated tools (See changelog file).
  * Unified browser for HDF5, SPEC and image file formats supporting inspection
    and visualization of n-dimensional datasets.
  * Unified viewer (silx view filename) for HDF5, SPEC and image file formats
  * OpenGL-based widget to display 3D scalar field with
    isosurface and cutting plane.
 .
 This is the Python 3 version of the package.

Package: python-silx-doc
Architecture: all
Section: doc
Depends:
 libjs-mathjax,
 ${misc:Depends},
 ${sphinxdoc:Depends},
Multi-Arch: foreign
Description: Toolbox for X-Ray data analysis - Documentation
 The silx project aims at providing a collection of Python packages to
 support the development of data assessment, reduction and analysis
 applications at synchrotron radiation facilities. It aims at
 providing reading/writing different file formats, data reduction
 routines and a set of Qt widgets to browse and visualize data.
 .
 The current version provides :
 .
  * reading HDF5 file format (with support of SPEC file format)
  * histogramming
  * fitting
  * 1D and 2D visualization using multiple backends (matplotlib or OpenGL)
  * image plot widget with a set of associated tools (See changelog file).
  * Unified browser for HDF5, SPEC and image file formats supporting inspection
    and visualization of n-dimensional datasets.
  * Unified viewer (silx view filename) for HDF5, SPEC and image file formats
  * OpenGL-based widget to display 3D scalar field with
    isosurface and cutting plane.
 .
 This is the common documentation package.
