27433a

Package: python3-sphinxcontrib-globalsubs
Description-md5: 2ca5b71c6ef3394bcebab1a8eb22351a
Description-en: sphinx extension to support global substitutions
 Sphinx extension for adding global substitutions to conf.py. One of the main
 use cases are central abbreviation lists, but any valid reST markup can be
 substituted.
 .
 This contains the Python 3 version.
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Package: pynx
Description-md5: fac3b5a7a38245ed1fab0ac6bb4a1d6d
Description-en: Python tools for Nano-structures Crystallography (Scripts)
 PyNX stands for *Python tools for Nano-structures Crystallography*.
 It is a python library with the following main modules:
 .
 1) pynx.scattering: *X-ray scattering computing using graphical
 processing units*, allowing up to 2.5x10^11 reflections/atoms/seconds
 (single nVidia Titan X). The sub-module``pynx.scattering.gid`` can be
 used for *Grazing Incidence Diffraction* calculations, using the
 Distorted Wave Born Approximation
 .
 2) pynx.ptycho : simulation and analysis of experiments using the
 *ptychography* technique, using either CPU (deprecated) or GPU using
 OpenCL.  Examples are available in the pynx/Examples
 directory. Scripts for analysis of raw data from beamlines are also
 available, as well as using or producing ptychography data sets in
 CXI (Coherent X-ray Imaging) format.
 .
 3) pynx.wavefront: *X-ray wavefront propagation* in the near, far
 field, or continuous (examples available at the end of
 ``wavefront.py``).  Also provided are sub-modules for Fresnel
 propagation and simulation of the illumination from a Fresnel Zone
 Plate, both using OpenCL for high performance computing.
 .
 4) pynx.cdi: *Coherent Diffraction Imaging* reconstruction algorithms
 using GPU.
 .
 In addition, it includes :doc:`scripts <scripts/index>` for
 command-line processing of ptychography data from generic CXI data
 (pynx-ptycho-cxi) or specific to beamlines (pynx-ptycho-id01,
 pynx-ptycho-id13,...).

Package: python-pynx-doc
Description-md5: 54691b8f3de2326c0f95d5cdf481c26e
Description-en: Python tools for Nano-structures Crystallography (common documentation)
 PyNX stands for *Python tools for Nano-structures Crystallography*.
 It is a python library with the following main modules:
 .
 1) pynx.scattering: *X-ray scattering computing using graphical
 processing units*, allowing up to 2.5x10^11 reflections/atoms/seconds
 (single nVidia Titan X). The sub-module``pynx.scattering.gid`` can be
 used for *Grazing Incidence Diffraction* calculations, using the
 Distorted Wave Born Approximation
 .
 2) pynx.ptycho : simulation and analysis of experiments using the
 *ptychography* technique, using either CPU (deprecated) or GPU using
 OpenCL.  Examples are available in the pynx/Examples
 directory. Scripts for analysis of raw data from beamlines are also
 available, as well as using or producing ptychography data sets in
 CXI (Coherent X-ray Imaging) format.
 .
 3) pynx.wavefront: *X-ray wavefront propagation* in the near, far
 field, or continuous (examples available at the end of
 ``wavefront.py``).  Also provided are sub-modules for Fresnel
 propagation and simulation of the illumination from a Fresnel Zone
 Plate, both using OpenCL for high performance computing.
 .
 4) pynx.cdi: *Coherent Diffraction Imaging* reconstruction algorithms
 using GPU.
 .
 In addition, it includes :doc:`scripts <scripts/index>` for
 command-line processing of ptychography data from generic CXI data
 (pynx-ptycho-cxi) or specific to beamlines (pynx-ptycho-id01,
 pynx-ptycho-id13,...).
 .
 This is the common documentation package.

Package: python3-pynx
Description-md5: 8656eb49b50737136c8bcfc94045834e
Description-en: Python tools for Nano-structures Crystallography (Python 3)
 PyNX stands for *Python tools for Nano-structures Crystallography*.
 It is a python library with the following main modules:
 .
 1) pynx.scattering: *X-ray scattering computing using graphical
 processing units*, allowing up to 2.5x10^11 reflections/atoms/seconds
 (single nVidia Titan X). The sub-module``pynx.scattering.gid`` can be
 used for *Grazing Incidence Diffraction* calculations, using the
 Distorted Wave Born Approximation
 .
 2) pynx.ptycho : simulation and analysis of experiments using the
 *ptychography* technique, using either CPU (deprecated) or GPU using
 OpenCL.  Examples are available in the pynx/Examples
 directory. Scripts for analysis of raw data from beamlines are also
 available, as well as using or producing ptychography data sets in
 CXI (Coherent X-ray Imaging) format.
 .
 3) pynx.wavefront: *X-ray wavefront propagation* in the near, far
 field, or continuous (examples available at the end of
 ``wavefront.py``).  Also provided are sub-modules for Fresnel
 propagation and simulation of the illumination from a Fresnel Zone
 Plate, both using OpenCL for high performance computing.
 .
 4) pynx.cdi: *Coherent Diffraction Imaging* reconstruction algorithms
 using GPU.
 .
 In addition, it includes :doc:`scripts <scripts/index>` for
 command-line processing of ptychography data from generic CXI data
 (pynx-ptycho-cxi) or specific to beamlines (pynx-ptycho-id01,
 pynx-ptycho-id13,...).
 .
 This package installs the library for Python 3.

.
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Package: python3-nbsphinx-link
Description-md5: c444b57beaa265ac6f7789299a24caa4
Description-en: sphinx extension for including notebooks outside of sphinx root
 Normally, Sphinx will only allow you to add files that are situated
 inside the source directory, but you might want to include files from
 another directory, for example a central 'examples' folder. For RST
 files these can be linked with include directives inside another RST
 file. For notebooks, there's nbsphinx-link.

.