Saravanan666/pypi-org huggingface dataset:
Package: vialactea
Sirius Tech. StudioNotas 24/11/2022A versão desta quinta feira, vêm com uma novidade muito bacana! 
    Está disponível a primeira versão de nossa api para criação de QR Codes. O módulo é bem útil e fácil de usar.Disponívelsirius.py:
  * Classes
      Studio: Classe principal do módulo que concentra sub-classes com funções distintas, voltadas para desenvolvimento
          tools: Ferramentas de utilities. 
          qr: Sistema de QR Code, gera arquivos por padrão em svg a partir de uma str, possui um arquivo padrão que lê linha a linha para gerar múltiplos arquivos.
      report: Conjunto de métodos de log.
      
  bifrost.py: 
  * Caminhos (Paths)
      A ideia do módulo é concentrar em uma via única o acesso de recursos. De momento, apenas os caminhos principais estão disponíveis:
          c_user: Usuário atual
          local_appdata: Appdata Local
          tmp: Pasta de arquivos temporários padrão do sistema
          desktop: Pasta desktop
          vialactea_in_dir: Pasta interna da Via Lactea
          vialactea_dir: Pasta local da Via Lactea. Esta pasta é usada como referência dentro dos módulos
          vialactea_import: Pasta para inputs de dados de forma manual ou automática
          vialactea_export: Pasta de outputs gerados pelo sistema
          vialactea_log:  Pasta local com o log
          nav_dir: Pasta de atalhos criada na Área de Trabalho
  * Classes
      Atualmente a bifrost conta com apenas uma classe: Bifrost que está instanciada na variável __bifrost para viabilizar a importação.
          Ex: from bifrost import __bifrost
  * Funções
      persist(self) -> None: Esse método persiste os caminhos declarados na lista PERSIST_DIRECTORIES (__bifrost.PERSIST_DIRECTORIES)
      e cria links para acesso das pastas, declarados no NAV_DIR_LINKS (__bifrost.NAV_DIR_LINKS)Fase de Testesfeed.py:
  * Classes
      Notifications - Classe principal do módulo. A ideia é facilitar a comunicação do usuário com o sistema com mensagens de alterta e resposta de processos.
      O uso é muito simples, dentro da classe, existe mensagens gravadas para determinado erro ou caso.Desenvolvimentosirius.py
      Basicamente sirius é um modulo core do sistema. Ele é constiuido por uma série de algoritmos para facilitar processos de construção de código e uso diário.
      Ele está passando por uma série de mudanças. Assim que chegar em uma versão estável, vou publicar a documentação.PlanejamentoMais detalhes serão adicionados em breve. Por hora, segue a lista de recursos na fase de planejamento:

  QRCODE
  REMESSAS
  BOLETOS
  APIS BLING
Package: vial-http
VialThere are bzillion http frameworks for Python. This is yet another one.Vial is a web nano-framework. Smaller than flask or bottle,
just one class with a few convenience methods.Vial is WSGI compliant, you may use Gunicorn, cheroot or the built-in wsgiref server.Can serve static files (poorly) and possibly redirect 404s to index to handle SPAs correctlyRouter is funnyUsageVial is under active development, functionality may change. Seedemo.py.
Package: viant-cloudutils
cloudutilsvault_clientinstallpip uninstall -y viant-cloudutils; pip install retry && pip install viant-cloudutils
wget -q https://github.vianttech.com/raw/techops/cloudutils/master/bin/vault_client.py -O /opt/stage/bin/vault_client.py
chmod +x /opt/stage/bin/vault_client.pyupdate rc.localset -s/--service to pin the service if it's actually dynamicexport VAULT_TOKEN=$(/opt/stage/bin/vault_client.py -t -s frontend-stage)
Package: viant-cloudutils-python3
cloudutilsvault_clientinstallpip uninstall -y viant-cloudutils; pip install retry && pip install viant-cloudutils
wget -q https://github.vianttech.com/raw/techops/cloudutils/master/bin/vault_client.py -O /opt/stage/bin/vault_client.py
chmod +x /opt/stage/bin/vault_client.pyupdate rc.localset -s/--service to pin the service if it's actually dynamicexport VAULT_TOKEN=$(/opt/stage/bin/vault_client.py -t -s frontend-stage)
Package: viapy
VIAF via PythonPython module for interacting withVIAF(the Virtual International
Authority File) data and APIs.viapyprovides optional Django integration; this currently includes a
django-autocomplete-light lookup view and a VIAF url widget.InstallationUse pip to install from GitHub.  Use a branch or tag name, e.g.@developor@1.0if you want to install a specific tagged release or branch:pip install git+https://github.com/Princeton-CDH/viapy.git@develop#egg=viapyConfiguration for use with DjangoUsingviapywith Django requires additional configuration.  Addviapyto
installed applications along with the needed django-autocomplete-light
modules:INSTALLED_APPS = (
    ...
    'dal',
    'dal_select2',
    'viapy',
    ...
)Include the viapy urls at the desired base url with the namespace:urlpatterns = [
    ...
    url(r'^viaf/', include('viapy.urls', namespace='viaf')),
    ...
]Development instructionsThis git repository usesgit flowbranching conventions.Initial setup and installation:Recommended: create and activate a python 3.5 virtualenv:virtualenv viapy -p python3.5
source viapy/bin/activatepip install the package with its python dependencies:pip install -e .
pip install -e ".[django]""Unit TestingUnit tests are set up to be run withpy.testCopy sample test settings and add aSECRET_KEY:cp ci/testsettings.py testsettings.pyTo run the tests, either use the configured setup.py test command:python setup.py testOr install test requirements and use py.test directly:pip install -e '.[test_all]'
py.testDocumentationDocumentation is generated usingsphinx.
To generate documentation, first install development requirements:pip install -e ".[docs]"Then build the documentation using the customized make file in thedocsdirectory:cd sphinx-docs
make htmlWhen building documentation for a production release, usemake docsto
update the published documentation on GitHub Pages.Licenseviapyis distributed under the Apache 2.0 License.©2017 Trustees of Princeton University.  Permission granted via
Princeton Docket #18-3449-1 for distribution online under a standard Open Source
license.  Ownership rights transferred to Rebecca Koeser provided software
is distributed online via open source.
Package: viashpy
viashpyVarious tools and utilities to interact withviashusing python.InstallationTo install viashpy, you can do so from the python package indexPyPIusingpip.pipinstallviashpyRunning the testsTo run the tests, clone the repository and install the development requirements by running the following command from the root of the repository:pipinstall.[dev]# Do not forget to quote this if you are using zshBy default, viashpy can tested against different python versions (more specifically 3.7 to 3.11) usingtox.
These versions of python must be made available to tox (by adding them to yourPATHenvironment variable), for example by installing and enabling them usingpyenv.Afterwards, running the tests is a matter of executing:tox.Alternatively, if you wish to test for the python version installed on your system only, you can choose to only test-eparameter.# Uses python3.7tox-epy3.7LicenseCopyright (C) 2020 Data IntuitiveThis program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.You should have received a copy of the GNU General Public License along with this program. If not, seehttp://www.gnu.org/licenses/.
Package: viasp
viASPviASP generates an interactive visualization of your ASP program and its stable modelsTry it out in Binder!viASP allows you to explore the visualization in a variety of ways:Inspect iterations of recursive rules individuallyExplain the derivation of symbols with arrowsRelax the constraints of unsatisfiable programsToggle parts of the programShow the added symbols or all of themInspect a single modelAdd#showstatements on the flySearch models, signatures and rules.InstallationviASP is available onPyPI. You can install it with pip:pipinstallviaspUsageConsider the filehamiltonian.lp:node(1..4).start(1).edge(1,2).edge(2,3).edge(2,4).edge(3,1).edge(3,4).edge(4,1).edge(4,3).{hc(V,U)}:-edge(V,U).reached(V):-hc(S,V),start(S).reached(V):-reached(U),hc(U,V).:-node(V),notreached(V).:-hc(V,U),hc(V,W),U!=W.:-hc(U,V),hc(W,V),U!=W.To start a visualization from the command line, run:viasphamiltonian.lpCheck out thedocumentationto see a full description on how to use viASP.ExamplesAn introduction to viASP's features is given in thenotebook. Theexamples foldershows a variety of scripts that run viASP.ContributingSee thedocumentation pageto see how to contribute.
Package: via-sudoku-solver
Sudoku solver | VIAInstallationTo install sudoku solver type the following in the terminal:pipinstallvia-sudoku-solverUsageTo start sudoku-solver type the following in your terminal:via-sudoku-solverFor help about arguments type:via-sudoku-solver--helpLicenseMITContributingSeeCONTRIBUTING.md.
Package: via-xterm
Usagevia-xtermscript [argument...]How is this useful?To simplify debugging of scripts, that useescape sequences/curses/urwid, in an IDE (e.g.PyCharm). Normally IDEs’ integrated consoles do
not handle all the escape sequences, so one has to either live with that or
use remote debugging.via-xtermwraps the target script in a way that its stdin/stdout are
connected to a newxterm -Sinstance, which handles the user
interaction. Debugging the target script is possible, because it is run usingcompile()andexec()builtins.
Package: viazoom
ViaZoomAn API wrapper for Zoom.InstallationInstall viazoom with pippipinstallviazoomUsage/ExamplesfromviazoomimportZoomOAuthClientclient=ZoomOAuthClient(account_id="YOUR_ACCOUNT_ID",client_id="YOUR_CLIENT_ID",client_secret="YOUR_CLIENT_SECRET")access_token=client.get_access_token()print(access_token)
Package: vibe
Vibe - Fastest way to know everything about Emails--------------------------------------------------Person & Company Insights powered by Human IntelligenceVibe provides Accurate, Comprehensive and Verified Lead Information for B2B Sales and Marketingvisit : <a href="https://vibeapp.co">vibeapp.co</a>## Documentation### Installation```bashpip install vibe```## Basic Usages#### Initialize Vibe```pythonfrom vibe import Vibevibe = Vibe(<api_key>)```api_key : Your api keyget your vibe api key <a href="https://vibeapp.co/developer/">here</a>#### Email/EmailMD5 Lookups```python### Email Lookupvibe.email(<email>)### EmailMD5 Lookupvibe.emailMD5(<email_md5>)```#### Email Lookups for Premium API```python### Email Lookupvibe.email(<email>, <webhook_url>)```email : email for which info is requiredemailMd5 : Email Hash for which info is requiredwebhook_url : Premium API param, url which u need response once data is enrichedTo know more about output formats visit <a href='https://vibeapp.co/docs/'>vibe docs</a>
Package: vibeAI24
Secure Application With AIFunctionality of the vibeAI2Better Looking With AIBlock unauthorized  userAuthorized user can AllowUsageMake sure you have Python installed in your system.Run Following command in the CMD.pip install vibeAI24Example# test.py
from src.vibeAI24 import data_breache, predict_breachRun the following Script.python test.pyNoteI have tried to implement all the functionality, it might have some bugs also. Ignore that or please try to solve that bug.
Package: vibe-analyser
VibeAn vibration analysis measurement suite with a web ui.Install from pypi as:$ pip install vibe-recorder
$ pip install vibe-analyserThe recorder goes on your rpi, the analyser on any computer you like. Visithttp://vibe.readthedocs.io/en/latest/for
full details.What is it?AnalyserThe analyser is responsible for:specifying the configuration of the measurement system (sample rate,
sensitivity)ensuring that all connected recorders are at that target (or marked
as invalid if not)scheduling measurementscollecting and storing measurement dataanalysing dataproviding a UIThere is 1 analyser service in the system.RecorderThe recorder is responsible for:managing the connected IMUmaintaining its state with the analyserrecording data and sending it to the analyser
Package: vibe-chart.py
vibe-chart.pyvibe-chart.py is a Python API that retrieves the TOP 100 information from theNaver Vibe.Installationpip install vibe-chart.pyQuickstartThe main usage of vibe-chart.py is similar tobillboard.py.>>> from vibe import *
>>> chart = ChartData(image_size=500)
>>> print(chart[0].json())
{
    "artist": "IVE(아이브)",
    "image": "https://musicmeta-phinf.pstatic.net/album/009/334/9334427.jpg?type=r500Fll&v=20230404132130",
    "isNew": false,
    "lastPos": 1,
    "rank": 1,
    "title": "Kitsch"
}
>>> print(chart.name)
오늘 Top 100
>>> print(chart.date)
2023-04-09 07:00:00ChartData Argumentsname– The chart namedate– The chart datequeryStart– The starting index of the chart entries to be retrieved from the Vibe API. (default: 1)queryCount– The number of items to retrieve from the API response, starting fromqueryStart. (default: 100)imageSize– The size of cover image for the track. (default: 256)fetch– A boolean value that indicates whether to retrieve the chart data immediately. If set toFalse, you can fetch the data later using thefetchEntries()method.Chart entry attributesChartEntrycan be accessed using theChartData[index]syntax. AChartEntryinstance has the following attributes:title– The title of the trackartist– The name of the artistimage– The URL of the cover image for the tracklastPos- The track's last position on the previous period.rank– The track's current rank position on the chart.isNew– Whether the track is new to the chart.DependenciesrequestsLicenseThis project is licensed under the MIT License.
Package: vibecheck
jupyter-vibecheckA Jupyter Widget to get atomic feedback as a student progresses through a didactic jupyter notebook.Setuppip install vibecheck datatopsUsagefromvibecheckimportDatatopsContentReviewContainerDatatopsContentReviewContainer("",# No text prompt"W1D1-GD-Explanation-v1",{"url":"https://datatops-example-server.com","name":"deep-learning-101","user_key":"30d8xnd2",},).render()For more information, see thedocumentation.
Package: vibe-recorder
VibeAn vibration analysis measurement suite with a web ui.Install from pypi as:$ pip install vibe-recorder
$ pip install vibe-analyserThe recorder goes on your rpi, the analyser on any computer you like. Visithttp://vibe.readthedocs.io/en/latest/for
full details.What is it?AnalyserThe analyser is responsible for:specifying the configuration of the measurement system (sample rate,
sensitivity)ensuring that all connected recorders are at that target (or marked
as invalid if not)scheduling measurementscollecting and storing measurement dataanalysing dataproviding a UIThere is 1 analyser service in the system.RecorderThe recorder is responsible for:managing the connected IMUmaintaining its state with the analyserrecording data and sending it to the analyser
Package: vibes
VIBes=====**V**isualizer for **I**ntervals and **B**oxes: http://ENSTABretagneRobotics.github.io/VIBESGet the last version from https://github.com/ENSTABretagneRobotics/VIBES/releasesVIBes is a visualization system that aims at providing people working with interval methods a way to display results (boxes, pavings), without worrying with GUI programming. It provides drawing functions accessible from a lot of programming languages, without complex installation and library dependencies.The main design goal of VIBes is to be cross-platform, available from different programming languages, simple to set-up, easy to port to a new language.VIBes consists in two parts:- the VIBes application that features viewing, annotating and exporting figures- the VIBes API that enables your program to communicate with the viewer in order to draw figures from C, C++, Python, Matlab...This package contains the python API.To install, runpip install vibes
Package: vibhu4agarwal
vibhu4agarwalInteractive Resume of Vibhu Agarwal.::$ vibhu

Hi! This is Vibhu Agarwal and I welcome you to my interactive Resume.
How to get to know me better? Just see how to play with this portfolio by typing this command:

vibhu -h::$ vibhu -h
usage: vibhu [-h] [-name] [-resume] [-profile] [-location] [-contact] [-need]
             [-summary] [-skills] [-handles] [-education] [-foss] [-projects]
             [-work] [-org]

Interactive Resume of Vibhu Agarwal.

optional arguments:
  -h, --help           show this help message and exit
  -name                Prints my full name.
  -resume              Prints my full Resume
  -profile             Prints my basic profile.
  -location            Fetches my current whereabouts.
  -contact             Lists down my contact points.
  -need                When should you contact me?
  -summary             Fetches information about which tools I've worked with
                       and how much.
  -skills              Lists down my skill set.
  -handles             Lists down my various public profiles on various
                       platforms (GitHub, LinkedIn, ...)
  -education           Fetches my education history.
  -foss                Fetches my major open-source contributions.
  -projects, -projies  Lists down some of the projects I've worked on.
  -work                Fetches details about my past work experience.
  -org                 Lists down Developer Communities I've been a part of.::$ vibhu -name

|----------------------------------------------------------------------------------------|
|Name: Vibhu Agarwal                                                                     |
|----------------------------------------------------------------------------------------|
Package: viboon555
PyPi:https://pypi.org/project/viboon555/สวัสดีครับ Package นี้เป็นแพ็คเก็จ ที่อธิยาย Profile ของนาย วิบูลย์
ปานแก้ว สามารถนำไปใช้กับผู้อื่นได้วิธีติดตั้งเปิด CMD / Terminalpipinstallviboon555วิธีใช้งานแพ็คเพจนี้เปิด IDLE ขึ้นมาแล้วพิมพ์…my=Profile('Viboon')my.company='GGG'my.hobby=['วาดภาพ','Reading','Sleep']my.sport=['ฟุตบอล','Boxing','Hose']print(my.name)my.show_email()my.show_myart()my.show_hobby()my.show_sport()พัฒนาโดย: นาย วิบูลย์ ปานแก้ว FB:https://www.facebook.com/li.dxngpu
Package: vibootstrap
Virtual Image Bootstrapping Tool.Designed to build an image from nothing (IE via netboot/kickstart), strip it down and re-package it for different targets.Created due to the huge amount of manual work involved in re-packaging images for new versions of things.Expected setupRequirements:Hardware virtualization support64bit host (if you want to build 64bit images)Standard qemu setup (default NAT’d network)Packages installed:python-libvirtqemuqemu-systemqemu-kvmlibvirt-binbridge-utilslibguestfs-toolsValidate the install:damian@Capricorn:~$ virsh -c qemu:///system net-list
Name                 State      Autostart
—————————————–
default              active     yesWorkflowvirt-install the machineserve up a ks file based off the templaterun the scriptsshutdown the machinevirt-prep the machineundefine itsave the imagerun qemu-img convert against the image for all desired formatsExample:>> cat ubuntu-base.conf
distro: ubuntu
release: saucy
target: server
arch: x86_64
source:http://mirror.bytemark.co.uk/%(distro)/dists/%(release)/main/installer-%(arch)/packages:
- ubuntu-minimal
- openssh-server
- salt-minion
- puppetpost-scripts:
- ../scripts/bootup-generic.shimages:
- vmdk
- vdi
- qcow2
- raw>> cat ubuntu-13.10-i386.conf
include(‘ubuntu-base.conf’)
release: saucy
target: server
arch: i386>> ls ./ubuntu/
- bootup-generic.sh
- ubuntu-base.conf
- ubuntu-13.10-i386.conf
- ubuntu-12.10-i386.conf>> vibootstrap –host=qemu:///system –settings=ubuntu/ubuntu-13.10-i386.conf
Setting up qemu box
Installing
- Progress via callbacks -
Post scripts
Shutdown
Virt prep
Undefine
Converting images
qemu-img convert -O vmdk ubuntu-13.10-i386.raw ubuntu-13.10-i386.vmdk
qemu-img convert -O vdi ubuntu-13.10-i386.raw ubuntu-13.10-i386.vdi
qemu-img convert -O qcow2 ubuntu-13.10-i386.raw ubuntu-13.10-i386.qcow2
qemu-img convert -O raw ubuntu-13.10-i386.raw ubuntu-13.10-i386.raw
Artifacts:
- ubuntu-13.10-i386.raw
- ubuntu-13.10-i386.vmdk
- ubuntu-13.10-i386.vdi
- ubuntu-13.10-i386.qcow2
Package: vibraniumdome-sdk
vibraniumdome-sdkTo start trace your OpenAI, you need to defineVIBRANIUM_DOME_BASE_URLenvironment variable to point Vibranium service; if you run it locally via the basic installation:export VIBRANIUM_DOME_BASE_URL=http://localhost:5001Code sample:importosimportopenaifromvibraniumdome_sdkimportVibraniumDomeopenai.api_key=os.getenv("OPENAI_API_KEY")VibraniumDome.init(app_name="openai_test_app")defmain():response=openai.ChatCompletion.create(model="gpt-3.5-turbo",messages=[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"Who won the world series in 2020?"},{"role":"assistant","content":"The Los Angeles Dodgers won the World Series in 2020."},{"role":"user","content":"Where was it played?"}],temperature=0,request_timeout=5,user="user-123456",headers={"x-session-id":"abcd-1234-cdef"},)print(response)if__name__=="__main__":main()
Package: vibrant-python
VibrantPython port fornode-vibrantto extract color palettes from images in format similar to palettes in Android.Installationpython-mpipinstallvibrant-pythonFeaturesColor palette extractionFully typed codebaseColor space conversion utilitiesContrast ratio calculationThis library is a one-to-one port of thenode-vibrantpackage which itself is port ofVibrant.js. They all aim to produce color palette from images in format similar to thePalettemodule in Android. The primary use-case of this for me was to produce colors from album cover arts (simply extracting the most prominent colors isn't always the best fit in most cases and requires a more sophisticated solution) where such color palettes work well.The Python codebase is fully typed so great editor support is expected for intuitive use. Check out Docs for more info.DemofromvibrantimportVibrantv=Vibrant()palette=v.get_palette('/path/to/image')color=palette.dark_mutedprint(color.rgb)
Package: vibrationtesting
A package for signal processing, modal analysis, and model reduction and model updatingJoseph C. SlaterWelcome toVibration Testing.For more information, please see thedocumentation for the Python versionInstallationIf you aren’t familiar at all with Python, please seeInstalling Python.Installation is made easy withpip(orpip3), with releases as we have time while we try
to create a full first release. Much of it works already, but I certainly need
issue reports (ongithub) when something is not working as it should.To install:pip install --user vibrationtestingwhere--userisn’t necessary if you are using a locally installed version of Python such asAnaconda.To run, I recommend you open aJupyternotebook by usingjupyter notebookand then type:import vibrationtesting as vtFor examples, see theJupyterNotebooks folder. (In flux- also look in doc/Tutorials for now) Some of these have interactive capabilities that are only apparent when you run them yourself instead of just looking at them on github. Unfortunately our organization of these still leaves a little to be desired.Installation of current codeThe usage documentation is far behind the current code, while the reference is way ahead of the released code due to theautodoccapability ofSphinx. Especially as of 2017, the code is in flux. So is the documentation. Releases toPyPIare far behind current status as stopping to deploy would cost more time that it is worth. I have the objective of releasing a first non-beta version at the end of May 2018, but even this cannot be promised.If you wish to install the current version of the software, read the instructions inContributing.rstThat should be it. Please note issues on theissues tabon GitHub.Quick notes:Theconvention used for the signal processingis that of thepython controls module.