3977a
Package: wnn7egg
Description-md5: 7918444a5374084c8d0ad79a7e5c2c6a
Description-en: Wnn-nana-tamago -- EGG Input Method with Wnn7 for Emacsen
 EGG for Wnn7, called `wnn-nana-tamago' is Japanese Input Method for
 Emacsen. It is based on Tamago ver.3 (v3.09) and incorporated the
 communication library part of Tamago Ver.4
 .
 This only can use with Jserver of Wnn7.

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Package: uqm-russian
Description-md5: 267ce4366adc55d3942d0f2c8c1c723a
Description-en: Russian addon for 'The Ur-Quan Masters' game
 You return to Earth with a vessel built from technology discovered from an
 ancient race called the Precursors only to find it enslaved. Gather allies
 from a wide variety of races, engage in space combat with various foes, and
 save the galaxy from the Ur-Quan!
 .
 The Ur-Quan Masters is derived from the classic game Star Control II.
 It includes both the adventure game described above and a fast-paced
 Super Melee.
 .
 This package provides Russian menus and dialogs for the game.

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Package: python3-tomopy
Description-md5: 9a7c0aa2da2602d75a31a35cb002c912
Description-en: Python package for tomographic data processing and image reconstruction
 Features:
  * Image reconstruction algorithms for tomography.
  * Various filters, ring removal algorithms, phase retrieval algorithms.
  * Forward projection operator for absorption and wave propagation.
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3697,3808c

Package: libsocl-contrib-1.3-0
Description-md5: 4a69ce3f02f2cf01466ed8b9a22d8758
Description-en: Task scheduler for heterogeneous multicore machines
 StarPU is a runtime system that offers support for heterogeneous
 multicore machines. While many efforts are devoted to design efficient
 computation kernels for those architectures (e.g. to implement BLAS
 kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
 offloading such kernels (and implementing data coherency across
 the machine), but it also makes sure the kernels are executed as
 efficiently as possible.
 .
 This package contains an OpenCL-compatible library interface to StarPU.
 This "contrib" version is built against CUDA.

Package: libstarpu-contrib-1.3-8
Description-md5: f0ca811d02d6bbb6c830781bf9811bff
Description-en: Task scheduler for heterogeneous multicore machines
 StarPU is a runtime system that offers support for heterogeneous
 multicore machines. While many efforts are devoted to design efficient
 computation kernels for those architectures (e.g. to implement BLAS
 kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
 offloading such kernels (and implementing data coherency across
 the machine), but it also makes sure the kernels are executed as
 efficiently as possible.
 .
 This package contains the main StarPU library
 This "contrib" version is built against CUDA.

Package: libstarpu-contrib-dev
Description-md5: e7f42763fbe9c087a6defa203190f56e
Description-en: Task scheduler for heterogeneous multicore machines - dev
 StarPU is a runtime system that offers support for heterogeneous
 multicore machines. While many efforts are devoted to design efficient
 computation kernels for those architectures (e.g. to implement BLAS
 kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
 offloading such kernels (and implementing data coherency across
 the machine), but it also makes sure the kernels are executed as
 efficiently as possible.
 .
 This package contains development headers and libraries.
 This "contrib" version is built against CUDA.

Package: libstarpu-contribfft-1.3-2
Description-md5: 1079179920c93a735ab89566a3855d36
Description-en: Task scheduler for heterogeneous multicore machines
 StarPU is a runtime system that offers support for heterogeneous
 multicore machines. While many efforts are devoted to design efficient
 computation kernels for those architectures (e.g. to implement BLAS
 kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
 offloading such kernels (and implementing data coherency across
 the machine), but it also makes sure the kernels are executed as
 efficiently as possible.
 .
 This package contains a hybrid CPU+GPU FFT library.
 This "contrib" version is built against CUDA.

Package: libstarpu-contribmpi-1.3-3
Description-md5: 4d3ce5602db3c9fbd91b7e19dcc14e2a
Description-en: Task scheduler for heterogeneous multicore machines
 StarPU is a runtime system that offers support for heterogeneous
 multicore machines. While many efforts are devoted to design efficient
 computation kernels for those architectures (e.g. to implement BLAS
 kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
 offloading such kernels (and implementing data coherency across
 the machine), but it also makes sure the kernels are executed as
 efficiently as possible.
 .
 This package contains MPI extensions for StarPU.
 This "contrib" version is built against CUDA.

Package: libstarpu-contribrm-1.3-2
Description-md5: 3008682b6502a417f1d5f1b0170499a0
Description-en: Task scheduler for heterogeneous multicore machines
 StarPU is a runtime system that offers support for heterogeneous
 multicore machines. While many efforts are devoted to design efficient
 computation kernels for those architectures (e.g. to implement BLAS
 kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
 offloading such kernels (and implementing data coherency across
 the machine), but it also makes sure the kernels are executed as
 efficiently as possible.
 .
 This package contains the resource management library.
 This "contrib" version is built against CUDA.

Package: starpu-contrib-examples
Description-md5: 11b8c6811b08d3b761c4e2f5fd0e0890
Description-en: Task scheduler for heterogeneous multicore machines - exs
 StarPU is a runtime system that offers support for heterogeneous
 multicore machines. While many efforts are devoted to design efficient
 computation kernels for those architectures (e.g. to implement BLAS
 kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
 offloading such kernels (and implementing data coherency across
 the machine), but it also makes sure the kernels are executed as
 efficiently as possible.
 .
 This package contains application examples.
 This "contrib" version is built against CUDA.

Package: starpu-contrib-tools
Description-md5: 21e204c0915cd3972a9cf41ad059d147
Description-en: Task scheduler for heterogeneous multicore machines - tools
 StarPU is a runtime system that offers support for heterogeneous
 multicore machines. While many efforts are devoted to design efficient
 computation kernels for those architectures (e.g. to implement BLAS
 kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
 offloading such kernels (and implementing data coherency across
 the machine), but it also makes sure the kernels are executed as
 efficiently as possible.
 .
 This package contains StarPU tools.
 This "contrib" version is built against CUDA.
.
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Package: librust-proton-call-dev
Description-md5: 18bbec82c643d06fbec943f22a6abfc2
Description-en: Run any Windows program through Valve's Proton - Rust source code
 This package contains the source for the Rust proton-call crate, packaged by
 debcargo for use with cargo and dh-cargo.

Package: proton-caller
Description-md5: 9d1188f7c1f70265f3ba34a7b6e84f3c
Description-en: Run any Windows program through Valve's Proton
Package: ruby-view-component
Description-md5: 5bb625a0b6805690611b28627d555237
Description-en: View components for Rails
 This library is a framework for building reusable, testable & encapsulated
 view components in Ruby on Rails.
 .
 Think of ViewComponents as an evolution of the presenter pattern, inspired by
 React. A ViewComponent is a Ruby object and template which is instantiated and
 passed to Rails’ #render returning markup.

 Proton-caller allows you to run any Windows program through
 Valve's Proton compatibility layer as easy as running it with WINE.
 Simply configure your Steam and common directories, and run the executable
 with proton-call -r foo.exe. Other usage examples can be found in the
 manual page. The last arguments are passed to the windows executable.

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Package: python3-pyvkfft
Description-md5: f985c4654936ca95c93802557c36a929
Description-en: binding to the CUDA and OpenCL backends of VkFFT - Python3
 pyvkfft offers a simple python interface to the CUDA and OpenCL
 backends of VkFFT, compatible with pyCUDA, CuPy and pyOpenCL.
 .
 This package installs the library for Python 3.

.
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3291a

Package: python-pycuda-doc
Description-md5: 4b4f2b1e8b32879eefe98c99f3a598ba
Description-en: module to access Nvidia‘s CUDA computation API (documentation)
 PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python.
 Several wrappers of the CUDA API already exist–so what’s so special about
 PyCUDA?
  * Object cleanup tied to lifetime of objects. This idiom, often called
    RAII in C++, makes it much easier to write correct, leak- and crash-free
    code.  PyCUDA knows about dependencies, too, so (for example) it won’t
    detach from a context before all memory allocated in it is also freed.
  * Convenience. Abstractions like pycuda.driver.SourceModule and
    pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
    with Nvidia’s C-based runtime.
  * Completeness. PyCUDA puts the full power of CUDA’s driver API at your
    disposal, if you wish.
  * Automatic Error Checking. All CUDA errors are automatically translated
    into Python exceptions.
  * Speed. PyCUDA’s base layer is written in C++, so all the niceties
    above are virtually free.
  * Helpful Documentation.
 .
 This package contains HTML documentation and example scripts.

Package: python3-pycuda
Description-md5: 4f446cb70e3ba6723eaae62a94efb36c
Description-en: Python 3 module to access Nvidia‘s CUDA parallel computation API
 PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python.
 Several wrappers of the CUDA API already exist–so what’s so special about
 PyCUDA?
  * Object cleanup tied to lifetime of objects. This idiom, often called
    RAII in C++, makes it much easier to write correct, leak- and crash-free
    code.  PyCUDA knows about dependencies, too, so (for example) it won’t
    detach from a context before all memory allocated in it is also freed.
  * Convenience. Abstractions like pycuda.driver.SourceModule and
    pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
    with Nvidia’s C-based runtime.
  * Completeness. PyCUDA puts the full power of CUDA’s driver API at your
    disposal, if you wish.
  * Automatic Error Checking. All CUDA errors are automatically translated
    into Python exceptions.
  * Speed. PyCUDA’s base layer is written in C++, so all the niceties
    above are virtually free.
  * Helpful Documentation.
 .
 This package contains Python 3 modules.

Package: python3-pyhst2-cuda
Description-md5: e7020574f1b117274ec1592e1f1f3089
Description-en: Python High Speed Tomographic reconstruction
 PyHST is a Python program for Tomographic data reconstruction based
 on direct filtered back-projection algorithm
 .
 This is the CUDA version

Package: python3-pynvml
Description-md5: a70729a5f02f7f1635513991a7e8a017
Description-en: Python3 bindings to the NVIDIA Management Library
 Provides a Python interface to GPU management and monitoring functions.
 .
 This is a wrapper around the NVML library.
 For information about the NVML library, see the NVML developer page
 http://developer.nvidia.com/nvidia-management-library-nvml
.
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Package: primus-nvidia
Description-md5: 47ebdd2f5f4085bfde25afb56ffc6f5a
Description-en: NVIDIA Primus support using the proprietary NVIDIA driver
 This metapackage ensures that the proprietary NVIDIA driver is installed in a
 way such that 3D acceleration does not break. It does so by configuring the
 OpenGL library path to use the Mesa graphics library.

Package: nvidia-primus-vk-common
Description-md5: 1de48695d37b053918704fd873985909
Description-en: thin wrapper for the NVIDIA binary Vulkan ICD (common files)
 This package disables the original NVIDIA binary Vulkan driver and registers
 the thin wrapper from nvidia-primus-vk-wrapper to ensure that the NVIDIA
 driver is usable with bumblebee.

Package: nvidia-primus-vk-wrapper
Description-md5: b56d29bdf2a2c1ac493d1c61f63daef4
Description-en: thin wrapper for using the NVIDIA binary Vulkan ICD with bumblebee
 This library is a thin wrapper around the Vulkan API functions of the
 nvidia Vulkan driver. The Vulkan driver misbehaves for example by reading the
 DISPLAY environment variable and connecting to that display server. This
 library works around that misbehaviour, so the driver can be used with
 bumblebee.

Package: primus-vk-nvidia
Description-md5: 8b6b25b6894037f56819bf3bc0d80e41
Description-en: NVIDIA Optimus support for Vulkan applications
 This metapackage depends on all packages necessary to run
 OpenGL and Vulkan applications on a dedicated graphics card
 on systems with Nvidia + Intel Optimus hardware.

.
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Package: libopenh264-cisco6
Description-md5: dff704a43d485eb325e4bc04bd302a1e
Description-en: OpenH264 Video Codec provided by Cisco Systems, Inc.
 OpenH264 is a codec library which supports H.264 encoding and decoding.
 It is suitable for use in real time applications such as WebRTC.
 .
 In order to comply with the AVC/H.264 Patent Portfolio License Conditions,
 this package downloads the suitable binary for the architecture and
 installs it. Besides the download, this is an empty package.

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Package: libodpic4
Description-md5: 621d39e2f3b79f724d9ca9f42096abdd
Description-en: Oracle Database Programming Interface runtime C shared library
 Oracle Database Programming Interface for C (ODPI-C) is an open source
 library of C code that simplifies access to Oracle Database for applications
 written in C or C++. It is a wrapper over Oracle Call Interface (OCI) that
 makes applications and language interfaces easier to develop.
 .
 ODPI-C supports basic and advanced features of Oracle Database and Oracle
 Client. See the homepage for a list.
 .
 This package contains the C shared library needed to run programs that
 dynamically link to ODPI-C.

Package: odpic-dev
Description-md5: 50c346c87455c5e0e9a714cd29cf1c70
Description-en: Oracle Database Programming Interface development files
 Oracle Database Programming Interface for C (ODPI-C) is an open source
 library of C code that simplifies access to Oracle Database for applications
 written in C or C++. It is a wrapper over Oracle Call Interface (OCI) that
 makes applications and language interfaces easier to develop.
 .
 ODPI-C supports basic and advanced features of Oracle Database and Oracle
 Client. See the homepage for a list.
 .
 This package contains the files needed to develop programs that use ODPI-C;
 including the headers, examples, and sample programs.

Package: odpic-doc
Description-md5: 491300141736a0052420f53f0c46c52f
Description-en: Oracle Database Programming Interface documentation
 Oracle Database Programming Interface for C (ODPI-C) is an open source
 library of C code that simplifies access to Oracle Database for applications
 written in C or C++. It is a wrapper over Oracle Call Interface (OCI) that
 makes applications and language interfaces easier to develop.
 .
 ODPI-C supports basic and advanced features of Oracle Database and Oracle
 Client. See the homepage for a list.
 .
 This package contains the developer documentation for ODPI-C.

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 used for warning about a mismatching version of the kernel module.
.
2890c
Description-md5: c8b2304ce34323f10197b7d18feaae06
.
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 control device is created, and performs any other tasks required for the
 module to work properly.
.
2881c
Description-md5: 4d3664ed3e608346486328ce3ac6af6e
.
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Package: nvidia-settings-tesla-450
Description-md5: da62de6d7ee0b5ae05ccbf23bac833ae
Description-en: tool for configuring the NVIDIA graphics driver (Tesla 450 version)
 The nvidia-settings utility is a tool for configuring the NVIDIA
 Linux graphics driver.  It operates by communicating with the NVIDIA
 X driver, querying and updating state as appropriate.  This
 communication is done with the NV-CONTROL X extension.
 .
 Values such as brightness and gamma, XVideo attributes, temperature,
 and OpenGL settings can be queried and configured via nvidia-settings.

Package: nvidia-settings-tesla-460
Description-md5: 7336d3188b32c77ec9f47d29b9bd95b8
Description-en: tool for configuring the NVIDIA graphics driver (Tesla 460 version)
 The nvidia-settings utility is a tool for configuring the NVIDIA
 Linux graphics driver.  It operates by communicating with the NVIDIA
 X driver, querying and updating state as appropriate.  This
 communication is done with the NV-CONTROL X extension.
 .
 Values such as brightness and gamma, XVideo attributes, temperature,
 and OpenGL settings can be queried and configured via nvidia-settings.

Package: nvidia-settings-tesla-470
Description-md5: fcd1b705759eb8fbe320ae9f51a3caf4
Description-en: tool for configuring the NVIDIA graphics driver (Tesla 470 version)
 The nvidia-settings utility is a tool for configuring the NVIDIA
 Linux graphics driver.  It operates by communicating with the NVIDIA
 X driver, querying and updating state as appropriate.  This
 communication is done with the NV-CONTROL X extension.
 .
 Values such as brightness and gamma, XVideo attributes, temperature,
 and OpenGL settings can be queried and configured via nvidia-settings.

Package: nvidia-settings-tesla-510
Description-md5: cd2ca704e4d42e9db221671ec790f9e7
Description-en: tool for configuring the NVIDIA graphics driver (Tesla 510 version)
 The nvidia-settings utility is a tool for configuring the NVIDIA
 Linux graphics driver.  It operates by communicating with the NVIDIA
 X driver, querying and updating state as appropriate.  This
 communication is done with the NV-CONTROL X extension.
 .
 Values such as brightness and gamma, XVideo attributes, temperature,
 and OpenGL settings can be queried and configured via nvidia-settings.

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Package: nvidia-persistenced
Description-md5: 14c6e143827155e1cde8662563f7ee85
Description-en: daemon to maintain persistent software state in the NVIDIA driver
 When persistence mode is enabled, the daemon prevents the driver from
 releasing device state when the device is not in use.
 This can improve the startup time of new clients in this scenario.

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Package: libnvidia-egl-gbm1
Description-md5: 7fed46c39bde46d5de9b80126105db9e
Description-en: GBM EGL external platform library for NVIDIA
 This library provides GBM EGL application support when using the NVIDIA
 driver.

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Package: mumax3
Description-md5: 31b32b8b874fff7a3226df456e85a895
Description-en: GPU-accelerated micromagnetic simulator
 mumax3 is a GPU-accelerated micromagnetic simulation program developed
 at the DyNaMat group of Prof. Van Waeyenberge at Ghent University.
 .
 A speed-up of the order of 100x compared to CPU-based simulations can
 easily be reached, even with relatively inexpensive gaming
 GPUs. Additionally, the software is optimized for low memory use and
 can handle about 16 million FD cells with 2GB of GPU RAM.
 .
 Features:
  - Landau-Lifshitz micromagnetic formalism
  - Magnetostatic field
  - Heisenberg exchange
  - Arbitrary inter-region exchange like RKKY coupling
  - Dzyaloshinskii-Moriya interaction
  - Spin-transfer torque (Zhang-Li and Slonczewski)
  - Uniaxial and cubic magnetocrystalline anisotropy
  - Thermal fluctuations (Brown)
  - Voronoi tessellation
  - Time- and space dependent material parameters
  - Arbitrary complex excitation (field, current)
  - Simulation window can automatically follow a moving domain wall
  - Edge charges can be removed to simulate an infinitely long geometry
  - Optional 1D, 2D or 3D periodic boundary conditions

.
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Package: libmagma-dev
Description-md5: 8c96c9659ed332fd1cc18082bb49c285
Description-en: Matrix Algebra on GPU and Multicore Architectures (dev)
 The MAGMA project aims to develop a dense linear algebra library similar to
 LAPACK but for heterogeneous/hybrid architectures, starting with current
 "Multicore+GPU" systems.
 .
 The MAGMA research is based on the idea that, to address the complex challenges
 of the emerging hybrid environments, optimal software solutions will themselves
 have to hybridize, combining the strengths of different algorithms within a
 single framework. Building on this idea, we aim to design linear algebra
 algorithms and frameworks for hybrid manycore and GPU systems that can enable
 applications to fully exploit the power that each of the hybrid components
 offers.
 .
 This package contains the headers and the static libraries.

Package: libmagma-doc
Description-md5: acda0a8ac99c17cd5657815ecee12b3d
Description-en: Matrix Algebra on GPU and Multicore Architectures (doc)
 The MAGMA project aims to develop a dense linear algebra library similar to
 LAPACK but for heterogeneous/hybrid architectures, starting with current
 "Multicore+GPU" systems.
 .
 The MAGMA research is based on the idea that, to address the complex challenges
 of the emerging hybrid environments, optimal software solutions will themselves
 have to hybridize, combining the strengths of different algorithms within a
 single framework. Building on this idea, we aim to design linear algebra
 algorithms and frameworks for hybrid manycore and GPU systems that can enable
 applications to fully exploit the power that each of the hybrid components
 offers.
 .
 This package contains the Doxygen HTML documentation.

Package: libmagma-sparse2
Description-md5: 7466d1ecd53172205761e441ae3ae3e8
Description-en: Matrix Algebra on GPU and Multicore Architectures (solib, sparse)
 The MAGMA project aims to develop a dense linear algebra library similar to
 LAPACK but for heterogeneous/hybrid architectures, starting with current
 "Multicore+GPU" systems.
 .
 The MAGMA research is based on the idea that, to address the complex challenges
 of the emerging hybrid environments, optimal software solutions will themselves
 have to hybridize, combining the strengths of different algorithms within a
 single framework. Building on this idea, we aim to design linear algebra
 algorithms and frameworks for hybrid manycore and GPU systems that can enable
 applications to fully exploit the power that each of the hybrid components
 offers.
 .
 This package contains the shared object libmagma_sparse.so.2

Package: libmagma-test
Description-md5: baed7e032a53edc2a27a115e648b92ee
Description-en: Matrix Algebra on GPU and Multicore Architectures (tests)
 The MAGMA project aims to develop a dense linear algebra library similar to
 LAPACK but for heterogeneous/hybrid architectures, starting with current
 "Multicore+GPU" systems.
 .
 The MAGMA research is based on the idea that, to address the complex challenges
 of the emerging hybrid environments, optimal software solutions will themselves
 have to hybridize, combining the strengths of different algorithms within a
 single framework. Building on this idea, we aim to design linear algebra
 algorithms and frameworks for hybrid manycore and GPU systems that can enable
 applications to fully exploit the power that each of the hybrid components
 offers.
 .
 This package contains the test executables.

Package: libmagma2
Description-md5: 1b5c7a1b292272888775bfbb96c3b347
Description-en: Matrix Algebra on GPU and Multicore Architectures (solib)
 The MAGMA project aims to develop a dense linear algebra library similar to
 LAPACK but for heterogeneous/hybrid architectures, starting with current
 "Multicore+GPU" systems.
 .
 The MAGMA research is based on the idea that, to address the complex challenges
 of the emerging hybrid environments, optimal software solutions will themselves
 have to hybridize, combining the strengths of different algorithms within a
 single framework. Building on this idea, we aim to design linear algebra
 algorithms and frameworks for hybrid manycore and GPU systems that can enable
 applications to fully exploit the power that each of the hybrid components
 offers.
 .
 This package contains the shared object libmagma.so.2

.
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Package: indi-mi
Description-md5: 972492f2219355825c6f0c51cc9d886f
Description-en: INDI driver for cameras made by Moravian Instruments
 This package contains an INDI driver to support cameras
 made by Moravian Instruments.
 .
 This driver is compatible with any INDI client such as KStars or Xephem.

Package: indi-playerone
Description-md5: f0c3e9029267e76f9fe63462dfe37236
Description-en: INDI driver for cameras made by Playerone
 This package contains an INDI driver for cameras
 made by Playerone.
 .
 This driver is compatible with any INDI client such as KStars or Xephem.

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Package: libhwloc-contrib-plugins
Description-md5: 2b02fbf995ab5fe6645ca4e4ad3e8d3f
Description-en: Hierarchical view of the machine - contrib plugins
 libhwloc provides a portable abstraction (across OS, versions,
 architectures, ...) of the hierarchical topology of modern architectures. It
 primarily aims at helping high-performance computing applications with
 gathering information about the hardware so as to exploit it accordingly and
 efficiently.
 .
 libhwloc provides a hierarchical view of the machine, NUMA memory nodes,
 sockets, shared caches, cores and simultaneous multithreading. It also gathers
 various attributes such as cache and memory information.
 .
 libhwloc supports old kernels not having sysfs topology information,
 with knowledge of cpusets, offline cpus, and Kerrighed support
 .
 This package contains plugins to add discovery support for non-free items. This
 includes
  - CUDA support.

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Package: horae
Description-md5: 05d8479ad180769d9adf3591fc732120
Description-en: interactive graphical processing and analysis of EXAFS data
 ATHENA is an interactive graphical utility for processing EXAFS data. It
 handles most of the common data handling chores of interest, including
 deglitching, aligning, merging, background removal, and Fourier transforms.
 .
 ARTEMIS is an interactive graphical utility for fitting EXAFS data using
 theoretical standards from FEFF and sophisticated data modelling along with
 flexible data visualization and statistical analysis.
 .
 HEPHAESTUS is a souped up periodic table for the x-ray absorption
 spectroscopist. It provides a number of utilities involving tables of
 absorption coefficients and other chemical data.

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Package: gpustat
Description-md5: ead43ed93b6051d1032b832df813e981
Description-en: pretty nvidia device monitor
 Just less than nvidia-smi?
 .
 NOTE: This works with NVIDIA Graphics Devices only, no AMD support as of now.

Package: greenbone-security-assistant
Description-md5: 469ae051af9a318d6814df31c63f6d11
Description-en: remote network security auditor - web interface
 The Greenbone Security Assistant is a web application that connects to the
 Greenbone Vulnerability Manager and OpenVAS Administrator to provide for a
 full-featured user interface for vulnerability management.

Package: greenbone-security-assistant-common
Description-md5: 2dd0b96e2a61e4c8883610001a6bed47
Description-en: transitional package
 This package can be removed safely.

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  * Ultima IV & VII
.
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  * Phantasmagoria 1 and 2
.
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  * Myst: Masterpiece Edition, Riven, Myst III
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  * The Griffon Legend
.
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  * Gabriel Knight 1 and 2
.
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  * Blade Runner
.
1124c
Description-md5: 871749cfcbaeb327a50cc0f6afdf6a6b
.
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769,817d
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Package: bumblebee-nvidia
Description-md5: 1590560d4120c0dce5a765cdd8ec59b7
Description-en: NVIDIA Optimus support using the proprietary NVIDIA driver
 This metapackage ensures that the proprietary NVIDIA driver is installed in a
 way such that 3D acceleration does not break. It does so by configuring the
 OpenGL library path to use the Mesa graphics library.

.
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Package: bart-cuda
Description-md5: c2a1ea23801f1b5aa543b58d70abf3c4
Description-en: tools for computational magnetic resonance imaging
 The Berkeley Advanced Reconstruction Toolbox (BART) is a free and
 open-source image-reconstruction framework for Computational Magnetic
 Resonance Imaging. It consists of a programming library and a toolbox
 of command-line programs. The library provides common operations on
 multi-dimensional arrays, Fourier and wavelet transforms, as well as
 generic implementations of iterative optimization algorithms. The
 command-line tools provide direct access to basic operations on
 multi-dimensional arrays as well as efficient implementations of
 many calibration and reconstruction algorithms for parallel imaging
 and compressed sensing.
 .
 This package provides BART with CUDA support.

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