Saravanan666/pypi-org huggingface dataset:
Package: google-cloud-vm-migration
Cloud VM Migration:  for Compute Engine migrates VMs from your on-premises data center into Compute Engine.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Cloud VM Migration.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-vm-migrationWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-vm-migrationNext StepsRead theClient Library Documentationfor Cloud VM Migration
to see other available methods on the client.Read theCloud VM Migration Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-vmwareengine
Google Cloud VMware Engine:Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Google Cloud VMware Engine.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-vmwareengineWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-vmwareengineNext StepsRead theClient Library Documentationfor Google Cloud VMware Engine
to see other available methods on the client.Read theGoogle Cloud VMware Engine Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-vpc-access
Virtual Private Cloud: provides networking functionality to Compute Engine virtual machine (VM) instances, Google Kubernetes Engine (GKE) containers, and the App Engine flexible environment. VPC provides networking for your cloud-based services that is global, scalable, and flexible.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Virtual Private Cloud.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-vpc-accessWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-vpc-accessNext StepsRead theClient Library Documentationfor Virtual Private Cloud
to see other available methods on the client.Read theVirtual Private Cloud Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-webrisk
Web Risk: is a Google Cloud service that lets client applications check URLs against Google’s constantly updated lists of unsafe web resources. Unsafe web resources include social engineering sites—such as phishing and deceptive sites—and sites that host malware or unwanted software. With the Web Risk API, you can quickly identify known bad sites, warn users before they click infected links, and prevent users from posting links to known infected pages from your site. The Web Risk API includes data on more than a million unsafe URLs and stays up to date by examining billions of URLs each day.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Web Risk.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-webriskWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-webriskNext StepsRead theClient Library Documentationfor Web Risk
to see other available methods on the client.Read theWeb Risk Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-websecurityscanner
Cloud Security Scanner: identifies security vulnerabilities in your App Engine, Compute Engine, and Google Kubernetes Engine web applications. It crawls your application, following all links within the scope of your starting URLs, and attempts to exercise as many user inputs and event handlers as possible.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Cloud Security Scanner.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-websecurityscannerWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-websecurityscannerNext StepsRead theClient Library Documentationfor Cloud Security Scanner
to see other available methods on the client.Read theCloud Security Scanner Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-workflows
Cloud Workflows: Orchestrate and automate Google Cloud and HTTP-based API services with serverless workflows.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Cloud Workflows.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-workflowsWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-workflowsNext StepsRead theClient Library Documentationfor Cloud Workflows
to see other available methods on the client.Read theCloud Workflows Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-workstations
Cloud Workstations:Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Cloud Workstations.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-workstationsWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-workstationsNext StepsRead theClient Library Documentationfor Cloud Workstations
to see other available methods on the client.Read theCloud Workstations Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: googlecmd
TorrentFileThis project has no offiliation with Google or Alphabet in any way🌐 OverviewA command line utility for launching google search queries from the command line.🔌 RequirementsPython 3.6+Tested on Linux, Windows and Mac💻 InstallPyPi:pipinstallgooglecmdGit:gitclonehttps://github.com/alexpdev/googlecmd.gitcdgooglecmd
pipinstall.📝 LicenseApache Software License v2.0 - SeeLICENSE💡 Issues & Requests & PRsIf you encounter any bugs or would like to request a new feature please open a new issue.
PRs and other contributions that are meaningful and add value to the project are welcome.Usage Examplesgooglehowtorunagooglesearchquery
Package: google-colab-selenium
The best way to use Selenium in Google Colab Notebooks!Simple setup of Selenium and ChromeDriver.Seamless integration with Google Colab.Support for undetected ChromeDriver for more advanced use cases.InstallationBasic usage:%pipinstallgoogle-colab-seleniumUseundetected-chromedriverversion:%pipinstallgoogle-colab-selenium[undetected]Basic Usageimportgoogle_colab_seleniumasgsdriver=gs.Chrome()# Your code to interact with the driver here# ...driver.quit()Undetected ChromeDriverimportgoogle_colab_seleniumasgsdriver=gs.UndetectedChrome()# Your code to interact with the driver here# ...driver.quit()Default OptionsThegoogle-colab-seleniumpackage is preconfigured with a set of default options optimized for Google Colab environments. These defaults include:--headless: Runs Chrome in headless mode (without a GUI).--no-sandbox: Disables the Chrome sandboxing feature, necessary in the Colab environment.--disable-dev-shm-usage: Prevents issues with limited shared memory in Docker containers.--lang=en: Sets the language to English.You are welcome to extend or override these options based on your needs:fromselenium.webdriver.chrome.optionsimportOptionsimportgoogle_colab_seleniumasgscustom_options=Options()# Add your custom options heredriver=gs.Chrome(options=custom_options)ContributingContributions are welcome! If you have a suggestion or an issue, please use the issue tracker to let us know.You can also contact mehere.
Package: google-colab-shell
Google Colab ShellFree Terminals for everyoneDisplays a terminal for Google ColabSetuppipinstallgoogle-colab-shellUsage# import the module oncefromgoogle_colab_shellimportgetshell## Anytime you awnt to open a terminalgetshell()getshell(height=400)# custom height of the terminalIMPORTANT:Make suregetshellis the last command in the cell.DocumentationDisplays a terminal for Google Colab. <3 Google

Make sure this is the last command in the cell.

    Parameters
    ----------
    height : int, default 400
        height of the rendered terminal

    Returns
    -------
    IPython.display.HTML
        Displays the terminal

    Examples
    --------
    >>> getshell()

    >>> getshell(height=400)CreditsMaintained byKuldeep Singh SidhuGithub:github/singhsidhukuldeephttps://github.com/singhsidhukuldeepWebsite:Kuldeep Singh Sidhu (Website)http://kuldeepsinghsidhu.comLinkedIn:Kuldeep Singh Sidhu (LinkedIn)https://www.linkedin.com/in/singhsidhukuldeep/ContributorsThe full list of all the contributors is availablehereTODO:: Want to contribute?Add streaming of the output to have wider range of usesDetach the terminal to be async with other cellsSet-up tests for edge cases and changes verificationSet-up CI/CD pipleine (possibly using GitHub actions) to publish changes to PyPiImproeve the doc-strings documentation to add more explanantion and examplesSay ThanksIf this helped you in any way, it would be great if you could share it with others.Steps for publishing topypi[This is just for me, Maybe!]pip3 install setuptools twineGo to project folderpython3 setup.py sdisttwine upload --repository-url https://upload.pypi.org/legacy/ dist/*ORGo to your project folder and:pip3installsetuptoolstwine

python3setup.pysdist
twineupload--repository-urlhttps://upload.pypi.org/legacy/dist/*Current StatusCHANGE LOG0.2 (31/12/2021)Fixed documentation0.1 (31/12/2021)Released first version(stable) of colab-shell.Read more athttps://github.com/singhsidhukuldeep/Google-Colab-Shell
Package: google.com
lib-namestep to commit:
    step rename:
        rename:
        ./
        |__src/
            |__packge_name/
        to your package name
    step edit:
        edit:
            ./
            |__setup.cfg
        name, version, author, author_email
    step build:
        step-1:
            make a pypi account
        step-2:
            run code on command line:
                Unix/macOS:
                    python3 -m pip install --upgrade build
                    python3 -m pip install --upgrade twine
                    python3 -m build
                    twine upload dist/*
                Windows:
                    py -m pip install --upgrade build
                    py -m pip install --upgrade twine
                    py -m build
                    twine upload dist/*Uploading distributions tohttps://test.pypi.org/legacy/Enter your username:[your username]Enter your password:[your password, this is hidden]Uploadingpackage-name-version-py3-none-any.whl100%|█████████████████████| 4.65k/4.65k [00:01<00:00, 2.88kB/s]Uploadingpackage-name-version.tar.gz100%|█████████████████████| 4.25k/4.25k [00:01<00:00, 3.05kB/s]
Package: googlecontroller
googlecontrollerGITHUB EXCLUSIVE KNOWLEDGE FOR SERVE_MEDIA HERE
Library for Python 3.9+ to push text message or audio file with the Google Home.Originally made by - Thomas Deblock (@tdeblock) I have expanded most of the code quite a bit little of the original remains, but the idea came from Mr.Deblock.This is a sorta v2 for the googlehomepush module they made.Installationfinally a pypi!!!!!!!pip install googlecontrollerDepending OnPyChromeCast
PyngrokHow to usefromgooglecontrollerimportGoogleAssistantfromgooglecontroller.http_serverimportserve_file# for local fileshost="ip"home=GoogleAssistant(host=host)home.say("test")home.play("http://www.hubharp.com/web_sound/BachGavotteShort.mp3, opentunnel = 0")# we are doing opentunnel as this is the first time doing ithome.play("http://www.hubharp.com/web_sound/BachGavotteShort.mp3) # you do this after the first opening#When serving media NEVER USE A \ ONLY USE /#when doing your first home.serve_media you have to include a 3rd variable, opentunnle!For that 1 first time you have to set it manually to a 0!#opentunnel = 0#YOU MUST USE A DELAY IF DOING MULTIPLE IN A ROW FINE TUNE AS YOU SEE FIT#like this home.serve_media("YourMedia.mp3", "C:/Users/YOU!/Music/", opentunnel)#**then never use that variable again**home.serve_media("YourMedia.mp3","C:/Users/YOU!/Music/")# 1st is the name of the media, second is the full path to media location!home.volume(100)home.volume(0).say(text, speed,ignore, lang)Push a message on Google hometextis the test message to sayspeedis the rate of speed of the message ranges from 0.000+ as slowest to 1 as normal speed.ignoreignore if audio is playing and play it regardless if ignore=True and only play if not playing if ignore=False or is not specified.langthe text language, default value is 'en' to change it have lang = 'language' as described in google translate en-Us, es (spanish), ect.play(url, ignore, contentType = 'audio/mp3'):Push a sound to Google homeurlan audio file URLignoreignore if audio is playing and play it regardless if ignore=True and only play if not playing.If ignore is not specified it will be set to False.contentTypethe audio file content type.volume(volumelevel):volumelevelthe volume level from 0-100 (must be a integer) Example: home.volume(5) or home.volume(volumelevel=5). If you want to take it as user input you can do home.volume(volumelevel=input()).MaintainersDray-Cyber
Package: google-crc32c
google-crc32cThis package wraps thegoogle/crc32chardware-based implementation of the CRC32C hashing algorithm. Multiple wheels
are distributed as well as source. If a wheel is not published for the python
version and platform you are using, you will need to compile crc32c using a
C toolchain.Currently Published WheelsWheels are currently published for Python 3.7, 3.8, 3.9, 3.10, 3.11 and
pypy-3.7 for multiple architectures. For information on building your own,
please viewBUILDING.md.LinuxWheels are published for the following platforms / architectures:manylinux2010platform,x86_64and1686architecturesmanylinux2014platform,aarch64architectureDeprecatedmanylinux1platform,x86_64architecture wheels will be built until
2021-12-31, when the PyPA group drops support for themanylinux1image.
See:https://github.com/pypa/manylinux/issues/994Mac OSWheels are published forx86_64anduniversal2architectures.WindowsWheels are published forwin32andwin_amd64architectures.
Package: google-csv-helper
google-csv-helperA simple tool for parsing google csv files.Installation% pip install google-csv-helperUsage% tree csv 
csv
├── admob
│   └── hk
│       └── latest-day.csv
└── adsense
    ├── cn
    │   └── latest-day.csv
    └── hk
        └── latest-day.csv

6 directories, 3 files

% file csv/admob/hk/latest-day.csv 
csv/admob/hk/latest-day.csv: Unicode text, UTF-16, little-endian text

% iconv -f UTF-16 -t UTF-8 csv/admob/hk/latest-day.csv | head -n1
日期	預估收益 (USD)	觀察到的有效千次曝光出價 (USD)	請求	媒合率 (%) (%)	比對成功的請求	顯示率 (%) (%)	曝光	點閱率 (%) (%)	點擊次數	出價要求	參與競價的出價 (%)	參與競價的出價	勝出出價 (%)	勝出出價次數

% file csv/adsense/hk/latest-day.csv 
csv/adsense/hk/latest-day.csv: CSV text

% head -n1 csv/adsense/hk/latest-day.csv 
日期,預估收益 (USD),瀏覽量,網頁千次曝光收益 (USD),曝光次數,曝光千次曝光收益 (USD),Active View 可視率,點擊,點閱率,單次點擊出價 (USD)

% head -n1 csv/adsense/cn/latest-day.csv
日期,估算收入 (USD),网页浏览量,网页 RPM (USD),展示次数,每千次展示收入 (USD),Active View 可见率,点击次数,点击率,CPC (USD)Use Google AdSense/Admob api to get the report content and convert it into csv format% google-csv-helper --google-token-file .google-account01 --google-show-report-list
% google-csv-helper --google-token-file .google-account02 --google-show-report-list
% google-csv-helper --google-token-file .google-account01 --google-adsense-latest-csv > csv/account1/adsense/latest-day.csv
% google-csv-helper --google-token-file .google-account02 --google-admob-latest-csv > csv/account2/admob/latest-day.csv
% google-csv-helper --google-token-file .google-account02 --google-adsense-latest-csv > csv/account2/adsense/latest-day.csv
% tree csv 
csv
├── account01
│   └── adsense
│       └── latest-day.csv
└── account02
    ├── adsense
    │   └── latest-day.csv
    └── admob
        └── latest-day.csv

6 directories, 3 filesCreate Dashboard reports from csv files% google-csv-helper --output markdown csv
## Current:
### Date Range: 2023-06-01 ~ 2023-06-04
#### compare: 2023-05-01 ~ 2023-05-31
| Item | Cumulative Revenue | Average Daily Revenue | Average CPC | Min Daily Revenue | Max Daily Revenue 
| -- | --: | --: | --: | --: | --: 
| Admob Global | 1,234.56 | 123.45 (-12.34%) | 0.001 (-1.23%) | 234.56 [06/02 Fri] | 456.78 [06/01 Thu] 
| Adsense Global | 1,234.56 | 123.45 (-12.34%) | 0.1234 (-2.34%) | 123.45 [06/02 Fri] | 345.67 [06/01 Thu] 
| Adsense China |  1,234.56 | 123.45 (-12.34%) | 0.2345 (2.34%) | 123.45 [06/02 Fri] | 345.67 `[06/01 Thu] 
| Total | 1,234.56 | 456.78 | | |Current:Date Range: 2023-06-01 ~ 2023-06-04compare: 2023-05-01 ~ 2023-05-31ItemCumulative RevenueAverage Daily RevenueAverage CPCMin Daily RevenueMax Daily RevenueAdmob Global1,234.56123.45 (-12.34%)0.001 (-1.23%)234.56 [06/02 Fri]456.78 [06/01 Thu]Adsense Global1,234.56123.45 (-12.34%)0.1234 (-2.34%)123.45 [06/02 Fri]345.67 [06/01 Thu]Adsense China1,234.56123.45 (-12.34%)0.2345 (2.34%)123.45 [06/02 Fri]345.67 `[06/01 Thu]Total1,234.56456.78