How to Install and Uninstall xtensor-doc Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "xtensor-doc" package
In this section, we are going to explain the necessary steps to install xtensor-doc on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
xtensor-doc
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2. Uninstall "xtensor-doc" package
Please follow the instructions below to uninstall xtensor-doc on openSuSE Tumbleweed:
$
sudo zypper remove
xtensor-doc
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3. Information about the xtensor-doc package on openSuSE Tumbleweed
Information for package xtensor-doc:
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Repository : openSUSE-Tumbleweed-Oss
Name : xtensor-doc
Version : 0.25.0-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 10.7 MiB
Installed : No
Status : not installed
Source package : xtensor-0.25.0-1.2.src
Upstream URL : https://github.com/xtensor-stack/xtensor
Summary : Documentation for xtensor
Description :
xtensor is a C++ library meant for numerical analysis with multi-dimensional array expressions.
xtensor provides
- an extensible expression system enabling lazy broadcasting.
- an API following the idioms of the C++ standard library.
- tools to manipulate array expressions and build upon xtensor.
Containers of xtensor are inspired by NumPy, the Python array programming library. Adaptors for existing data structures to be plugged into the expression system can easily be written.
------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : xtensor-doc
Version : 0.25.0-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 10.7 MiB
Installed : No
Status : not installed
Source package : xtensor-0.25.0-1.2.src
Upstream URL : https://github.com/xtensor-stack/xtensor
Summary : Documentation for xtensor
Description :
xtensor is a C++ library meant for numerical analysis with multi-dimensional array expressions.
xtensor provides
- an extensible expression system enabling lazy broadcasting.
- an API following the idioms of the C++ standard library.
- tools to manipulate array expressions and build upon xtensor.
Containers of xtensor are inspired by NumPy, the Python array programming library. Adaptors for existing data structures to be plugged into the expression system can easily be written.