Ubuntu
silx package

silx 1.1.0+dfsg-5 source package in Ubuntu

Changelog

silx (1.1.0+dfsg-5) unstable; urgency=medium

  * Team upload.
  * Patch out tests that fail on mipsel / mips64el due to a numpy bug.

 -- Stefano Rivera <email address hidden>  Fri, 03 Feb 2023 16:46:19 -0400

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
silx_1.1.0+dfsg-5.dsc 2.2 KiB da2711e49e02d463686c2f3ba63fc4f7a8fb04c3958d41343cca098c24521f76
silx_1.1.0+dfsg.orig.tar.xz 11.6 MiB 4a50dcbde1234ad51c5434bf09530e198e9ae3e40d06cc14429bccc3a49b91cf
silx_1.1.0+dfsg-5.debian.tar.xz 14.7 KiB 6c7f52a91d23ebca4101385c5d6cb5fcc9368eefc8853004d129cab0a3ac0114

Available diffs

No changes file available.

Binary packages built by this source

python-silx-doc: 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.

python3-silx: 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.

python3-silx-dbgsym: debug symbols for python3-silx
silx: 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.