How to Install and Uninstall python36-line_profiler Package on openSuSE Tumbleweed
Last updated: November 26,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python36-line_profiler" package
Please follow the guidelines below to install python36-line_profiler on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python36-line_profiler
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2. Uninstall "python36-line_profiler" package
Please follow the guidelines below to uninstall python36-line_profiler on openSuSE Tumbleweed:
$
sudo zypper remove
python36-line_profiler
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3. Information about the python36-line_profiler package on openSuSE Tumbleweed
Information for package python36-line_profiler:
-----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-line_profiler
Version : 3.1.0-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 172,5 KiB
Installed : No
Status : not installed
Source package : python-line_profiler-3.1.0-1.3.src
Summary : Line-by-line profiler
Description :
line_profiler will profile the time individual lines of code take to execute.
The profiler is implemented in C via Cython in order to reduce the overhead of
profiling.
Also included is the script kernprof.py which can be used to conveniently
profile Python applications and scripts either with line_profiler or with the
function-level profiling tools in the Python standard library.
-----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-line_profiler
Version : 3.1.0-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 172,5 KiB
Installed : No
Status : not installed
Source package : python-line_profiler-3.1.0-1.3.src
Summary : Line-by-line profiler
Description :
line_profiler will profile the time individual lines of code take to execute.
The profiler is implemented in C via Cython in order to reduce the overhead of
profiling.
Also included is the script kernprof.py which can be used to conveniently
profile Python applications and scripts either with line_profiler or with the
function-level profiling tools in the Python standard library.