Saravanan666/pypi-org huggingface dataset:
Package: vscvm
vscvmA VSCode version manager.InstallInstallvscvia pip:pip install vscvmAdd the following to your.bashrcfile:exportPATH=$HOME/.vscvm:$PATHif[!-e"/tmp/vscvm_check_update"];thenvscvm_check_updatefiand that's it!Disabling update checksIf you don't want an update check to run periodically, you only need to add this one line to your.bashrc:exportPATH=$HOME/.vscvm:$PATHUsage$vsclistv1.59 - July 2021v1.58 - June 2021v1.57 - May 2021v1.56 - April 2021v1.55 - March 2021$vscinstalllatestDownloading v1.59 - July 2021...Successfully installed v1.59!$code--version1.59.0Commandslist:$vsclist-n3v1.59 - July 2021      [Active]v1.58 - June 2021      [Installed]v1.57 - May 2021$vsclist--installedv1.59 - July 2021      [Active]v1.58 - June 2021      [Installed]$vsclist--activev1.59 - July 2021      [Active]install:$vscinstalllatestDownloading v1.59 - July 2021...$vscinstallv1.57Downloading v1.57 - May 2021...$vscinstall1.42Downloading v1.42 - January 2020...uninstall:$vsclist--activev1.59 - July 2021      [Active]$vscuninstallUninstalled v1.59.$vscuninstall1.56Uninstalled v1.56.cleanup:$vsclist-n3v1.59 - July 2021      [Active]v1.58 - June 2021      [Installed]v1.57 - May 2021       [Installed]$vsccleanupUninstalled v1.58.Uninstalled v1.57.Troubleshootingvsc: command not foundIf you installedvscvmvia pip, but the terminal says vsc is not a recognized command,
that means that you probably don't have~/.local/binin yourPATH.Add the following line into your.bashrcfile:PATH=$PATH:$HOME/.local/binthen restart your terminal, and it should start working.
Package: vsddcolor
DDColorTowards Photo-Realistic Image Colorization via Dual Decoders, based onhttps://github.com/piddnad/DDColor.DependenciesPyTorch2.1.1 or laterVapourSynthR62 or laterInstallationpip install -U vsddcolor
python -m vsddcolorUsagefromvsddcolorimportddcolorret=ddcolor(clip)See__init__.pyfor the description of the parameters.
Package: vsdeband
vs-deband, a collection of wrappers and functions for debandingFor support you can check out theJET Discord server.How to installInstallvsdebandwith the following command:pipinstallvsdebandOr if you want the latest git version, install it with this command:pipinstallgit+https://github.com/Jaded-Encoding-Thaumaturgy/vs-deband.git
Package: vs-debandshit
debandshit, a collection of wrappers and functions for debandingThis repository is intended to be a maintained version ofdebandshituntilZ4STINcontinues maintaining it himself.The original v0.3.0 ofdebandshit.pythat this is built on from can be foundhere.For further support, drop by#debandshitin theIEW Discord server.How to installIf you have the olddebandshit.pymodule,
remove that from your system first.Installdebandshitwith the following command:$pipinstallvs-debandshitDependenciesdebandshit depends on the following third-party scripts:mvsfuncvsutilAnd the following VapourSynth libraries:fmtconvvs-placebo
Package: vsdehalo
vs-dehaloCollection of dehaloing VapourSynth functionsHow to usefromvsdehaloimportfine_dehalosrc=...dehaloed=fine_dehalo(src)How to installInstallvsdehalowith the following command:pipinstallvsdehaloOr if you want the latest git version, install it with this command:pipinstallgit+https://github.com/Jaded-Encoding-Thaumaturgy/vs-dehalo.git
Package: vsdeinterlace
vs-deinterlaceVapourSynth deinterlacing and interlaced/telecined content helper functionsFor support you can check out theJET Discord server.How to installInstallvsdeinterlacewith the following command:pipinstallvsdeinterlaceOr if you want the latest git version, install it with this command:pipinstallgit+https://github.com/Jaded-Encoding-Thaumaturgy/vs-deinterlace.git
Package: vsdenoise
vs-denoiseVapourSynth denoising, regression, and motion-compensation functionsWrappers for denoising, regression, and motion-compensation-related plugins and functions.For support you can check out theJET Discord server.How to installInstallvsdenoisewith the following command:pipinstallvsdenoiseOr if you want the latest git version, install it with this command:pipinstallgit+https://github.com/Jaded-Encoding-Thaumaturgy/vs-denoise.gitExample usagefromvsdenoiseimportMVTools,SADMode,MotionMode,Prefilter,BM3DCuda,Profile,nl_meansclip=...ref=MVTools.denoise(clip,thSAD=100,block_size=32,overlap=16,motion=MotionMode.HIGH_SAD,prefilter=Prefilter.DFTTEST,sad_mode=(SADMode.ADAPTIVE_SPATIAL_MIXED,SADMode.ADAPTIVE_SATD_MIXED,))denoise=BM3DCuda.denoise(clip,sigma=0.8,tr=2,profile=Profile.NORMAL,ref=ref,planes=0)denoise=nl_means(denoise,tr=2,strength=0.6,ref=ref,planes=[1,2])
Package: vsdfft
vs-dfftCollection of Discrete/Fast Fourier Transform VapourSynth functionsHow to usefromvsdfftimportFFTSpectrumsrc=...spectrum=FFTSpectrum(src)You can installCuPyif you have an nvidia GPU to have a 5x speedup.How to installInstallvsdfftwith the following command:pipinstallvsdfftOr if you want the latest git version, install it with this command:pipinstallgit+https://github.com/Jaded-Encoding-Thaumaturgy/vs-dfft.git
Package: vsdm
vsdmBy Benjamin LillardVector space dark matter rate calculationDESCRIPTION:VSDM is the Python implementation of the wavelet-harmonic integration method, designed for the efficient calculation of dark matter direct detection scattering rates in anisotropic detectors, and for arbitrary dark matter velocity distributions.The code is still under development. Many of the components have been tested for accuracy, but no guarantee is made for the accuracy of the complete package.
Package: vsdpir
DPIRPlug-and-Play Image Restoration with Deep Denoiser Prior, based onhttps://github.com/cszn/DPIR.DependenciesNumPyPyTorch>=2.0.1VapourSynth>=R60trtrequires additional runtime libraries:CUDA Toolkit11.8cuDNN8.9TensorRT>=8.6.1.6For ease of installation on Windows, you can download the 7z file onReleaseswhich contains required runtime libraries and Python wheel file. Either add the unzipped directory to your systemPATHor copy the DLL files to a directory which is already in your systemPATH. Finally pip install the Python wheel file.Installationpip install -U vsdpir
python -m vsdpirUsagefromvsdpirimportdpirret=dpir(clip)See__init__.pyfor the description of the parameters.
Package: vsdpir-ncnn
DPIRPlug-and-Play Image Restoration with Deep Denoiser Prior, based onhttps://github.com/cszn/DPIR.Dependenciesncnn. Note that the officialPython packageis not built with Vulkan compute support. Windows users can install the wheel fromhttps://github.com/HolyWu/ncnn/releases/latest. Non-windows users have to build from source using my fork (requires Vulkan SDK):git clone https://github.com/HolyWu/ncnn.git --depth 1
cd ncnn
git submodule update --init --recursive --depth 1
pip install .VapourSynthR55 or later.Installationpip install -U vsdpir_ncnn
python -m vsdpir_ncnnUsagefromvsdpir_ncnnimportDPIRdpir=DPIR(task='deblock')ret=dpir.run(clip,strength=25)See__init__.pyfor the description of the parameters.
Package: vsengine
vs-engineAn engine for vapoursynth previewers, renderers and script analyis tools.Installingpip install vsengineThe latest development version can be downloaded from the github-actions tab.
Install the included .whl-file.Using vsengineLook at this example:importvapoursynthasvsfromvsengine.vpyimportscriptscript("/script/to/my.vpy").result()vs.get_output(0).output()DevelopmentInstall the dependencies listed inpyproject.tomlas well asflit.For convenience,
the included nix-flake contains dev-shells with different python and vapoursynth versions preconfigured.Running TestsYou can run tests with this command:python -m unittest discover -s ./testsFor users with Nix installed,
the included flake contains tests for specific vs and python versions.
These can be run by runningnix flake check.ContributingUsers might want to bring their own versions of vapoursynth related plugins and libraries.
Depending on any of them would thus be of disservice to the user.
This is the reason why depending on any plugin or library is banned in this project.
The only exception is when this dependency is optional,
meaning that the feature in question does not lose any functionality when the dependency is missing.
In any case,
the addition of new dependencies (optional or otherwise) must be coordinated with the maintainer prior to filing a PR.This project is licensed under the EUPL-1.2.
When contributing to this project you accept that your code will be using this license.
By contributing you also accept any relicencing to newer versions of the EUPL at a later point in time.Your commits have to be signed with a key registered with GitHub.com at the time of the merge.
Package: vserver
Example:>>> import vserver
>>> test1 = vserver.HostingVServer(u'test1')
>>> test1.build(ip=u'10.0.0.1',
...             fqdn=u'test1.localhost',
...             mirror=u'http://ftp.fr.debian.org/debian/',
...             timezone=u'Europe/Paris')
>>> test1.install_ssh()
>>> test1.delete()  # dangerous!
Package: vsfemasr
FeMaSRReal-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors, based onhttps://github.com/chaofengc/FeMaSR.DependenciesNumPyPyTorch1.13VapourSynthR55+trtrequires additional runtime libraries:CUDA Toolkit11.7cuDNN8.6TensorRT8.5.3.1For ease of installation on Windows, you can download the 7z file onReleaseswhich contains required runtime libraries and Python wheel file. Either add the unzipped directory to your systemPATHor copy the DLL files to a directory which is already in your systemPATH. Finally pip install the Python wheel file.Installationpip install -U vsfemasr
python -m vsfemasrUsagefromvsfemasrimportfemasrret=femasr(clip)See__init__.pyfor the description of the parameters.
Package: vsffdnet
FFDNetFFDNet: Toward a Fast and Flexible Solution for CNN based Image DenoisingPorted fromhttps://github.com/cszn/FFDNetDependenciesNumPyPyTorch, preferably with CUDA. Note thattorchvisionandtorchaudioare not required and hence can be omitted from the command.VapourSynthInstallationpip install --upgrade vsffdnetUsagefromvsffdnetimportFFDNetret=FFDNet(clip)See__init__.pyfor the description of the parameters.
Package: vsfieldkit
vsfieldkitCollection of functions for working with interlaced content inVapourSynth. Most functions don't have any
external dependencies.Included functions:vsfieldkit.annotate_bobbed_fields(clip, original_clip)vsfieldkit.assume_bff(clip)vsfieldkit.assume_progressive(clip)vsfieldkit.assume_tff(clip)vsfieldkit.bob(clip)vsfieldkit.double(clip)vsfieldkit.fill_analog_frame_ends(clip)(requires FillBorders and either ContinuityFixer or EdgeFixer plugins)vsfieldkit.group_by_combed(clip)vsfieldkit.group_by_field_order(clip)vsfieldkit.resample_as_progressive(clip)vsfieldkit.scan_interlaced(clip)vsfieldkit.telecine(clip)vsfieldkit.upsample_as_progressive(clip)vsfieldkit.weave_fields(clip)Seethe documentationfor more information.
Package: vsgen
A Python package that automatically generates solutions and projects from python script.InstallationUse pip:pip install vsgenUsageThere are two ways to usevsgen:Manipulate thevsgenclasses directly with Python script and then generate the files usingvsgen’s commands.Use the command line and supply a configuration file that contains the solution and project defintions and letvsgenautomaticaly generate the files.DocumentationDocumentation is available atreadthedocs.org.SupportUse theissue trackerto file any suggestions, bugs or other issues.Changelog1.0.0-dev(Unreleased)TBD0.3.3(2018-05-30)Bug Fixes:Fixed writing project files relative to solution in solution files. Fixes #15.Compatibility Notes:Dropped Python 3.3 support. Fixes #16.0.3.1(2017-08-21)Features:Replaced raw file writer with jinja2 renderer.0.3.0(2017-03-18)Features:Modularize VSGen with setuptool’s entry points; Fixes #11.Compatibility Notes:A plugin architecture has been adopted starting with0.3.0.  The vsgen package is now acoremodule and any metadata and code used to generates specific projects should be placed in apluginmodule.The former Python Tools for Visual Studio functionality that was embedded in vsgen has been extracted tovsgen-ptvs0.2.4(2017-02-18)Features:Refactored the command line argument structure to expose more options to the command line; Fixes #10.Adoptedfnmatchpattern style for file and directory filter patterns, e.g.txtis now*.txt.Bug Fixes:Fixed auto command’s resolution of the current directory; Fixes #9.0.2.3(2016-06-24)Features:Added automatic project generation; Fixes #6.0.2.2(2016-05-29)Bug Fixes:Fixed mishandling of mkdir command; Fixes #4.0.2.1(2016-03-09)Bug Fixes:Updated main’s argument handling; Fixes #1.Added missing import; Fixes #2.Fixed misnamed PTVSInterpreter class variable; Fixes #3.0.2.0  (2016-03-08)Initial Release.
Package: vs.genericsetup.ldap
IntroductionThis package registers GenericSetup import and export steps forProducts.PloneLDAP.Attention!Since release 1.2, the package namespace has been changed
tovs.genericsetup.ldap.In previous releases, the package namespace wascollective.genericsetup.ldap.Licensevs.genericsetup.ldapis published under the GNU Public License 2.AuthorsAndreas JungVeit SchieleAnne WaltherAlexander LoeschelChangelog1.2 (2011-06-16)Change namespace tovs.genericsetup.ldapto make it correspond to egg name.Fix GS export, plugin should not be exported as content.1.1.1 (2010/10/25)Respect site encoding and do not use unicode in configuration. This fixes a
TypeError when the _uid_attr configuration is accessed (when resolving groups).1.1.0 (2009/06/13)renamed package to vs.genericsetup.ldap since the original author
is uncapable to share the ownership on PyPI1.0.1 (2009/06/05)exportimport.py: converting parameters properly to unicode1.0 (2009/02/24)added support for _extra_user_filterbool for plugin-properties (read_only and local_groups)
Package: vsgen-ptvs
A Python package that extendsvsgenwith solutions and project defintions forPython Tools for Visual Studio.InstallationUse pip:pip install vsgen-ptvsUsageThis package defines thevsgenptvstype but follows the standardvsgenusage:Manipulate thevsgen-ptvsprovided classes directly with Python script and then generate the files usingvsgen’s commands.Use the command line and supply a configuration file that contains the solution and project defintions and letvsgenautomaticaly generate the files.DocumentationDocumentation is available atreadthedocs.org.SupportUse theissue trackerto file any suggestions, bugs or other issues.ChangelogUnreleasedNo changes committed.0.1.4(2019-09-01)Features:Migreated project to Visual Studio 2019 / 2017.  Fixes #8.0.1.3(2018-06-09)Bug Fixes:Fixed escape sequence in environment interpolation. Fixes #7.0.1.2(2018-05-31)Features:Added support for PTVS project environment variables. Fixes #5.Compatibility Notes:Dropped Python 3.3 support. Fixes #6.0.1.1(2017-09-07)Bug Fixes:Fixed exception with corrupt interpreters and/or environment; Fixes #4.Features:Replaced raw file writer with jinja2 renderer. Fixes #1.0.1.0 (2017-03-18)Initial Split fromVSGen 0.3.0.
Package: vsgmfss-fortuna
GMFSS_FortunaThe All-In-One GMFSS: Dedicated for Anime Video Frame Interpolation, based onhttps://github.com/98mxr/GMFSS_Fortuna.DependenciesCuPyNumPyPyTorch1.13.1VapourSynthR55+trtrequires additional runtime libraries:CUDA Toolkit11.7cuDNN8.6TensorRT8.6.0.12For ease of installation on Windows, you can download the 7z file onReleaseswhich contains required runtime libraries and Python wheel file. Unzip the file to the location that you chose. Add<unzippath>/binto your systemPATH. Additionally, add<unzippath>toCUDA_PATHenvironment variable because CuPy relies on it. Finally pip install the Python wheel file.Installationpip install -U vsgmfss-fortunaUsagefromvsgmfss_fortunaimportgmfss_fortunaret=gmfss_fortuna(clip)See__init__.pyfor the description of the parameters.
Package: vsgmfss-union
GMFSS_unionHigh Performance GMFSS with RIFE and GAN for Anime Video Frame Interpolation, based onhttps://github.com/98mxr/GMFSS_union.DependenciesCuPyNumPyPyTorch1.13VapourSynthR55+trtrequires additional runtime libraries:CUDA Toolkit11.7cuDNN8.6TensorRT8.5.2.2For ease of installation on Windows, you can download the 7z file onReleaseswhich contains required runtime libraries and Python wheel file. Unzip the file to the location that you chose. Add<unzippath>/binto your systemPATH. Additionally, add<unzippath>toCUDA_PATHenvironment variable because CuPy relies on it. Finally pip install the Python wheel file.Installationpip install -U vsgmfss-unionUsagefromvsgmfss_unionimportgmfss_unionret=gmfss_union(clip)See__init__.pyfor the description of the parameters.
Package: vsgrlir
GRL for Image RestorationEfficient and Explicit Modelling of Image Hierarchies for Image Restoration, based onhttps://github.com/ofsoundof/GRL-Image-Restoration.DependenciesNumPyPyTorch1.13.1VapourSynthR55+Installationpip install -U vsgrlir
python -m vsgrlirUsagefromvsgrlirimportgrlirret=grlir(clip)See__init__.pyfor the description of the parameters.
Package: vsgui
VSGUI - Very Simple Graphic Interface Library for Python========================================================Description-----------It proides a simple functions to comuunicate with `zenity` whichis a program that will display GTK+ dialogs, and return(either in the return code, or on standard output) the users input.This allows you to present information, and ask for information fromthe user, from all manner of shell scripts.Requirement-----------* Python >=2.5* Python UCLTIP module >= 0.6-1 (http://pypi.python.org/pypi/ucltip)* ZenityHow To install--------------for Ubuntu Users::$ apt-get install python-ucltipfor Debian Users::$ apt-get install zenity$ apt-get install python-ucltipVSGUI is not in Debian/Ubuntu archive.right now please use `setup.py` to installHow To Use----------The source code includes some examples which are in example directory, so you can take a qucik look before youstart coding, and thre are two part of this library as below1. High Level API functions---------------------------Before start, you need to import api funcitons:::from vsgui.api import *Dialogs::from vsgui.api import *# information dialoginfo(msg)# warring dialogwarning(msg):# error dialogerror(msg):# error dialog and terminate scriptdie(msg):# notice dialog (does not work in Unity)notice(msg):Input Text::# input textask_text(text, initial=None)# input password,ask_passwd(text)# check password## - 1234 is the password we except user to type# - 5 means user can try to input 5 times if the password is wrong# - password is wrong is just a error message shows in an error dialogcheck_passwd('1234', 5, 'password is wrong')Questions::# ask user the anwser is yes or noask_yesno(text, y=None, n=None):# ask user select a or bask_ab(text, a, b):# ask user passowrd, and check itcheck_passwd(wanted, count=3, text='', errmsg='wrong password, try again!')Progress-------::# launch a progress bar and create a update functionupdate = progress('downloading files')# update progress bar message ot 'md5sum checking' and progessive number to 90update(90, 'md5sum checking')# launch a progress barpulsate_progress('starting')File----::# ask user to select a file pathask_filepath()# ask user to select multiple file pathsask_filepaths()# ask user to select a directory pathask_dirpath()# ask user to select multiple directory pathsask_dirpaths()Other-----ask_scalevalue('label')2. Zenity Class---------------if api functions is not enough, you can use Zenity class direcly to getmore powerful feature.::from vsgui.zenity import Zenityz = Zenity()# same as executing 'zenity --file-selection --filename=a.txt'z.file_selection(filename='a.txt')Get invlolved=============if you are interesting to help, please contact author,Hychen, his email is  <ossug.hychen at gmail.com>.The VCS of code is avaliabl on  http://github.com/hychen/vsgui
Package: vsh
This cli-based package provides a mechanism to control virtual
environments for python packages.  It is meant to be useful for
both production environments as well as everyday use.The goal is to let the tool run and get out of your way, providing
a fast and easy mechanism to create, enter and remove virtual
environments with a low amount of typing.Home-page:https://github.com/brianbruggeman/vshAuthor: Brian Bruggeman
Author-email:brian.m.bruggeman@gmail.comMaintainer: Brian Bruggeman
Maintainer-email:brian.m.bruggeman@gmail.comLicense: MIT
Description: UNKNOWN
Keywords: vsh,virtual environment,venv
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Natural Language :: English
Classifier: Development Status :: 4 - Beta
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.7
Provides-Extra: debug
Provides-Extra: pypi
Provides-Extra: all
Provides-Extra: docs
Provides-Extra: test
Provides-Extra: dev
Provides-Extra: deploy
Package: vshinet
HINetHalf Instance Normalization Network for Image Restoration, based onhttps://github.com/JingyunLiang/SwinIR.DependenciesNumPyPyTorch, preferably with CUDA. Note thattorchvisionandtorchaudioare not required and hence can be omitted from the command.VapourSynth(Optional)TensorRT. Note thatuffandPyCUDAare not required and hence can be skipped from the guide.(Optional)torch2trtInstallationpip install --upgrade vshinet
python -m vshinetUsagefromvshinetimportHINetret=HINet(clip)See__init__.pyfor the description of the parameters.
Package: vsh-tools
vshA short introductionA library for vector spherical harmonics (VSH) toolsFor details about the VSH, please look atMignard and Klioner, A&A 547, A59(2012).At present stage, these codes are just some separated ones.
These code might be merged into a Python module, which depends mainly on how much free time I have.How to installFirst clone this resposity in the your local machine bygit clone https://github.com/Niu-Liu/vsh.gitThen, enter the directory and run the commands to install the packagecd vsh
python setup.py sdist
python setup.py installThe installation is done.For any questions and comments, please contact me atniu.liu@foxmail.com.
Package: vsi
vsivery simple interpreter written in pure python without any
third party dependencies.Installationyou will needpythoninterpreter andpippackage manager
after that run this command$pipinstallvsinote: for linux and mac users you may want to prefix the command with sudoQuick Start# this is a comment# variablesx:=1;y:=x+2;# printingprintx;printy;# if statementsify>xthenz:=y;# optional elseelsez:=x;done# while statemntwhilex<5dox:=x+1;printx;donesave this to hello.vsi file and then$vsihello.vsioutput132345see more examples at examples/ folderIs it testedyes, follow the following steps:$# first clone the repository$gitclonehttps://github.com/afaki077/vsi.git$# change directory to the clone repository$cdvsi$# install required packages for testing$pipinstall-rtest-requirements.txt$# let's run tests$py.testLICENSEMITsee LICENSE file for more information.
Package: vsjet
vs-jetPyPi package for quickly upgrading and installing all JET Python packages.This package does not install any Vapoursynth plugins.For support inquiries, please join theJET Discord serveror leave anissue.How to installInstallvsjetwith the following command:pipinstallvsjetHow to useInstall the stable versions of all JET packages:python-mvsjetUpgrade to latest git version of all JET packages:python-mvsjetlatestDisclaimer:Latest git packages may be unstable!
Please report issues in theirrespective repositories.