Saravanan666/pypi-org huggingface dataset:
Package: grouponefunctions
grouponefunctionsA package containing the necessary functions to smoothly run the analysis in DSCI-310-Group-1.InstallationNote: The installation is not likely to proceed for Python version lower than 3.9.10. Please check your Python version the code below.python--versionThen you can install the package by the command below.pipinstallgrouponefunctionsUsagegrouponefunctionsis primarily used for analysis ofPredicting students’ grades using multi-variable regression, but contains three general use functions. To implement the functions,importour packagegrouponefunctionsas a module. The package has three functions:splitxy,listfun, andplotsquaredata.split_xysplit_xycan be used to split data into predictor feature and target variables as follows:fromgrouponefunctions.grouponefunctionsimportsplit_xyX_train,y_train=split_xy(train_df,["feature1","feature2","feature3"],target)X_test,y_test=split_xy(test_df,["feature1","feature2","feature3"],target)plot_square_dataThis function is capable at creating plots to display in a grid configuration.fromgrouponefunctions.grouponefunctionimportplot_square_dataplot_square_data(X_train,y_train,["feature1","feature2","feature3"],["title1","title2","title3], "ThisisPlot1")plot_square_data(dependent,independednts,["income"],["retirement_age"],"Income and Retirement Age Relation")list_absThis function is the abstract function for list, used in Results part in the analysis.fromgrouponefunctions.grouponefunctionimportlist_abslist_abs(preprocessor,"pipeline-2","onehotencoder",categorical_features)ContributingInterested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.Licensegrouponefunctionswas created by Andres Zepeda Perez, Daniel Hou, Zizhen Guo, Timothy Zhou. It is licensed under the terms of the MIT license.Creditsgrouponefunctionswas created withcookiecutterand thepy-pkgs-cookiecuttertemplate.
Package: groupthink
The groupthink package helps you install, update, and manage GitHub organization-specific command line scripts. Let’s say your organization is calledfoo.Runninggroupthink install foolooks for a repository athttps://github.com/foo/foo-cli. If it finds one, it installs to thefoo-clidirectory within~/.groupthink. Like this:.groupthink
└── foo-cli
    ├── CONTRIBUTING.md
    ├── LICENSE.md
    ├── README.md
    └── bin
        ├── help
        ├── init
        ├── scan
        ├── setup
        └── validateIt also install asfooscript to/usr/local/bin, which allows you to invoke any of the scripts found within thefoo-cli/bindirectory. Sofoo initwould run theinitscript withinfoo-cli/bin,foo helpwould run thehelpscript in the same directory, and so on.You can check for updates made to the remotefoo-clirepository withgroupthink update foo.groupthink upgrade foowould install all updates. Andgroupthink uninstall fooremoves both thefooscript in/usr/local/binand thefoo-clidirectory in~/.groupthink.Finally, you can list all the organization commands you have installed to~/.groupthinkwithgroupthink list.To sum up the options:groupthink install <org>installs the scripts for<org>groupthink uninstall <org>removes the scripts for<org>groupthink update <org>checks for updates made to<org>’s scriptsgroupthink upgrade <org>installs all updates made to<org>’s scriptsgroupthink listlists all groupthink scripts you have installed for any<org>groupthink install <org> --alias <alias>install the scripts for<org>under<altname>(if you use this, replace<org>with<altname>in the options above)RequirementsPython (v. 2.7 or 3.3+)gitIf you’re running Windows, useGit BashInstallationInstall groupthink withpip install groupthink
Package: groupy
DescriptionPython client library for interfacing with the Grouper API server.QuickstartSuper basic…fromgroupy.clientimportGroupygrclient=Groupy('127.0.0.1:8990')foruseringrclient.users:printuserforpermissioningrclient.users.get('zorkian'):printpermissionInstallationTo pull the latest version from PyPI:pipinstallgroupy
Package: groupyr
Groupyr: Sparse Group Lasso in PythonGroupyris a Python library for penalized regression of grouped covariates.
This is thegroupyrdevelopment site. You can view the source code, file new issues, and contribute togroupyr's development. If you just want to learn how to install and usegroupyr, please look at thegroupyrdocumentation.ContributingWe love contributions!Groupyris open source, built on open source,
and we'd love to have you hang out in our community.We have developed someguidelinesfor contributing togroupyr.CitinggroupyrIf you usegroupyrin a scientific publication, please see cite us:Richie-Halford et al., (2021). Groupyr: Sparse Group Lasso in Python. Journal of Open Source Software, 6(58), 3024,https://doi.org/10.21105/joss.03024@article{richie-halford-groupyr,
    doi = {10.21105/joss.03024},
    url = {https://doi.org/10.21105/joss.03024},
    year = {2021},
    publisher = {The Open Journal},
    volume = {6},
    number = {58},
    pages = {3024},
    author = {Adam {R}ichie-{H}alford and Manjari Narayan and Noah Simon and Jason Yeatman and Ariel Rokem},
    title = {{G}roupyr: {S}parse {G}roup {L}asso in {P}ython},
    journal = {Journal of Open Source Software}
}AcknowledgementsGroupyrdevelopment is supported through a grant from theGordon
and Betty Moore Foundationand from theAlfred P. Sloan Foundationto theUniversity of
Washington eScience Institute, as
well asNIMH BRAIN Initiative grant 1RF1MH121868-01to Ariel Rokem (University of Washington).The API design ofgroupyrwas facilitated by thescikit-learn project
templateand it
therefore borrows heavily fromscikit-learn.Groupyrrelies
on thecopt optimization libraryfor its
solver. Thegroupyrlogo is a flipped silhouette of animage from J. E.
Randalland is licensedCC BY-SA.
Package: grove
Grove is a Software as a Service (SaaS) log collection framework, designed to support
collection of logs from services which do not natively support log streaming.Grove enables teams to collect security related events from their vendors in a reliable
and consistent way. This data may then be stored and analyzed with a team'sexistingtooling in order to support threat detection and compliance programmes.Out of the box, Grove provides:🪵 Reliable and periodic collection of logs.☁️ Support a large number of widely used SaaS applications and services.🧱 Plugin based "connectors" to enable support for new applications and services.🧳 "Bring your own" caching, output, configuration, and secrets backends.Grove was created and is currently maintained by the HashiCorp security team.Please note: While this is not an official HashiCorp project, security is still very
important to us! If you have found a potential security issue with Grove, please contact
us via email atsecurity@hashicorp.com, rather than filing a GitHub issue.Supported SourcesCurrently the following log sources are supported by Grove out of the box. If a source
isn't listed here, support can be added by creating a custom connector!Atlassian audit events (e.g. Confluence, Jira)GitHub audit logsGSuite alertsGSuite activity logsOkta system logsOomnitza activity logs1Password sign-in attempt logs1Password item usage event logs1Password audit logsPagerDuty audit recordsSalesForce Cloud event logsSalesForce Marketing Cloud audit event logsSalesForce Marketing Cloud security event logsSlack audit logsTines audit logsTerraform Cloud audit trailsTorq activity logsTorq audit logsTwilio monitor eventsTwilio message logsWorkday activity logsZoom activity logsZoom operation logsDocumentationPlease see theGrove documentationfor full
documentation, information about Grove's internals, and API information.Quick StartTo run Grove for the first time usingDocker,
ensuredockeris installed and run:gitclonehttps://github.com/hashicorp-forge/grovecdgrove
dockercomposeupThis should see log messages from a "heartbeat" connector every 5 seconds. For more
detailed examples and information, please see theGrove documentation.
Package: grovepi
The GrovePi should no longer be installed with PIP. Instead, go with the following command:curl-kLdexterindustries.com/update_grovepi|bashOr if you need to customize your installation, to be better suited for your requirements, check this GitHubREADMEfor more information.—This is the python library for GrovePi+, which is an open source platform for connectingGrove Sensorsto the Raspberry Pi.Please visit:Ourgithub repo folderfor using one of our many example programs.Or ourofficial pagefor more details about this platform.
Package: grove.py
grove.pyPython library for Seeedstudio Grove Devices on Raspberry Pi.ArchtectureTo operate grove sensors, the grove.py depends many hardware interface libraries such as mraa/smbus2/rpi.gpi/rpi_ws281x.InstallationFor beginner or library user only, please install with online method.For developer, please install dependencies and then install grove.py with source code.Online installinstall/update all dependencies and latest grove.pycurl-sLhttps://github.com/Seeed-Studio/grove.py/raw/master/install.sh|sudobash-s-Install DependenciesInstall MRAA and UPM for Raspberry PiAdd repositoryecho"deb https://seeed-studio.github.io/pi_repo/ stretch main"|sudotee/etc/apt/sources.list.d/seeed.listAdd public GPG keycurlhttps://seeed-studio.github.io/pi_repo/public.key|sudoapt-keyadd-orsudoapt-keyadv--keyserverkeyserver.ubuntu.com--recv-keysBB8F40F3Install MRAA & UPMsudoaptupdate# Python2sudoaptinstallpython-mraapython-upm# Python3sudoaptinstallpython3-mraapython3-upmInstall library raspberry-gpio-pythonsudoaptupdate
sudoaptinstallpython-rpi.gpiopython3-rpi.gpioInstall library rpi_ws281xsudopipinstallrpi_ws281x
sudopip3installrpi_ws281xInstall grove.pyFrom PyPIFor Python2sudopipinstallgrove.pyFor Python3sudopip3installgrove.pyFrom source codegitclonehttps://github.com/Seeed-Studio/grove.pycdgrove.py# Python2sudopipinstall.# Python3sudopip3install.UsageSee the link below for details:demo and execute
Package: grow
Grow is a fresh, declarative, file-based static site generator for rapid
microsite production. Learn more athttps://grow.dev.Key features:Data-driven: All your content is stored in YAML or Markdown, keeping content
separate from presentation. Architect your site structure in YAML, then bind
data to HTML templates to build your pages entirely around data from data
files.Flexible URLs: Grow supports an explicit, configurable way to generate URLs
for your site. Use template tags to keep your site maintainable and URL
changes easy.Internationalization: Grow comes with flexible internationalization support
included. Tag strings for translation, localize your content, and easily
add/remove locales on a site-wide or per-document basis.Deploy anywhere: Grow builds your site to a static fileset, which means you
can deploy pretty much anywhere. Grow comes built-in with deploy targets to
various services.To learn about contributing and to see the source code:https://github.com/grow/grow.
Package: growatt
Growatt API clientThis Python script logs in to server.growatt.com and retrieves data on solar panels.UsageCreate a new GrowattApi instance, log in, retrieve a list of plants and request details of these plants. An example can be found ingrowatt/__main__.py, and can be run usingpython -m growatt.APICurrently this package uses an API that I reverse engineered the API from the Growatt mobile app. This is more of an internal API that can be changed by Growatt if they want.There is also anAPI specificationfor a more standard API, but that is currently not used by this package.Getting startedRun the following commands to set up a new virtualenv and run the growatt API example:git clone https://github.com/Sjord/growatt_api_client
cd growatt_api_client
python3 -m venv venv                    # create a new virtual environment in the directory 'venv'
. venv/bin/activate                     # activate this environment
./setup.py install                      # install all dependencies
python -m growatt 'username' 'password' # retrieve data for todayAfter setting up like this, you can just run the python from the virtualenv each time you want to run it:venv/bin/python -m growatt 'username' 'password'If you want to create your own client, start from growatt/__main__.py. Copy it and change it to your liking, and then run it like this:venv/bin/python myscript.py 'username' 'password'
Package: growatt-monitor
⚡ Growatt monitorGrowatt inverter monitor from Modbus and API server🔧 InstallationGrowatt monitor moduleDownload the repository and usepipto install Growatt Monitor:gitclonehttps://github.com/soulraven/growatt-monitor.gitcdgrowatt-monitor
pipinstall-rrequirements.txt.To install for all users on the system, run pip as root:sudopipinstall-rrequirements.txt.VariablesSome variables you may want to set.api.server_urlThe growatt server URL, default: 'https://server.growatt.com/'🌍 ContributionsContributions of all forms are welcome :)Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.🗒 LicenseThis project is licensed underGPLv3.👀 AuthorZaharia Constantin, myGitHub profileandGitHub Page
Package: growattRS232
growattRS232Python wrapper for getting data asynchronously from Growatt inverters via serial usb RS232 connection and modbus RTU protocol.The Growatt inverted must support the modbus protocol (some older inverters only support proprietary serial communication)
Connect the RS232 DB9 usb adapter to the RS232 port on the underside of the inverter (you might have to remove a cover plate).AttributesDepending on the firmware version of your inverter, not all attributes might be availableInverter propertiesserial_numbermodel_numberfirmwareDC input PVinput_powerinput_energy_todayDC input string 1 PVinput_1_amperageinput_1_voltageinput_1_powerinput_1_energy_todayinput_1_energy_totalDC input string 2 PVinput_2_amperageinput_2_voltage"input_2_power"input_2_energy_today"input_2_energy_total"AC output gridoutput_poweroutput_energy_todayoutput_energy_totalpower_factoroutput_reactive_poweroutput_reactive_energy_todayoutput_reactive_energy_totalAC output phase 1 gridoutput_1_voltageoutput_1_amperageoutput_1_powerAC output phase 2 gridoutput_2_voltageoutput_2_amperageoutput_2_powerAC output phase 3 gridoutput_3_voltageoutput_3_amperageoutput_3_powerMiscellaneous informationoperation_hoursfrequencytemperatureipm_temperaturep_bus_voltagen_bus_voltagederating_modederatingStatus, faults & warningsstatusstatus_codefault_codefaultwarning_codewarning_valuewarningHow to use the packageimportasyncioimportloggingfromsysimportargvfromgrowattRS232importGrowattRS232# defaults# USB port of RS232 converterDEFAULT_PORT="/dev/ttyUSB0"# Growatt modbus addressDEFAULT_ADDRESS=0x1logging.basicConfig(level=logging.DEBUG)asyncdefmain():port=str(argv[1])iflen(argv)>1elseDEFAULT_PORTaddress=int(argv[2])iflen(argv)>2elseDEFAULT_ADDRESSgrowattRS232=GrowattRS232(port,address)try:data=awaitgrowattRS232.async_update()print(f"Sensors data:{data}")exceptExceptionaserror:print("Error: "+repr(error))loop=asyncio.get_event_loop()loop.run_until_complete(main())loop.close()
Package: growcube-client
This is an asyncio Python library to communicate withElecrow Growcubedevices.
By using this library you can communicate directly with the device, without the need to use the phone app.Once connected to a device, the library will listen for messages from the device and use a callback function
to return parsed messages to the application. The application can also send commands to the device.FeaturesConnect to the Growcube deviceListen for messages from the deviceSend commands to the deviceSearch for devices in a local networkInstallpip3installgrowcube-clientGetting startedCheck out the instructions ongithub.com/jonnybergdahl/Python-growcube-client.
You will find sample scripts that show how it is used, as well a more advanced GUI app.More informationDocumentation on how the protocol was reverse engineered can be found atGrowcube_Hacking.
Package: growhat
Grow HAT MiniDesigned as a tiny valet for your plants, Grow HAT mini will monitor the soil moiture for up to 3 plants, water them with tiny pumps, and show you their health on its small but informative screen. Learn more -https://shop.pimoroni.com/products/growInstallingYou're best using the "One-line" install method.One-line (Installs from GitHub)curl -sSL https://get.pimoroni.com/grow | bashNotereport issues with one-line installer here:https://github.com/pimoroni/getOr... Install and configure dependencies from GitHub:git clone https://github.com/pimoroni/grow-pythoncd grow-pythonsudo ./install.shNoteRaspbian Lite users may first need to install git:sudo apt install gitOr... Install from PyPi and configure manually:Install dependencies:sudo apt install python3-setuptools python3-pip python3-yaml python3-smbus python3-pil python3-spidev python3-rpi.gpioRunsudo pip3 install growhatNotethis wont perform any of the required configuration changes on your Pi, you may additionally need to:Enable i2c:sudo raspi-config nonint do_i2c 0Enable SPI:sudo raspi-config nonint do_spi 0Add the following to/boot/config.txt:dtoverlay=spi0-cs,cs0_pin=14MonitoringYou should read the following to get up and running with our monitoring script:Using and configuring monitor.pySetting up monitor.py as a serviceHelp & SupportGPIO Pinout -https://pinout.xyz/pinout/grow_hat_miniSupport forums -http://forums.pimoroni.com/c/supportDiscord -https://discord.gg/hr93ByCChangelog0.0.3Pin dependences to pre-Bookworm migration0.0.2Add mutually exclusive locking to pumps to avoid brownout running multiple pumps at once0.0.1Initial Release
Package: growingio-tracker
GrowingIO提供在Python Server端部署的SDK，从而可以方便的进行事件上报等操作Installation可以使用 pip 下载我们的sdk:pip install growingio_trackerGetting Started简单示例:from growingio_tracker import GrowingTracker

# 方式1：使用默认配置
growing_tracker = GrowingTracker('<product_id>', '<data_source_id>', '<server_host>')

# 方式2: 自定义发送策略
from growingio_tracker import DefaultConsumer
default_consumer = DefaultConsumer('<product_id>', '<data_source_id>', '<server_host>')
growing_tracker = GrowingTracker.consumer(default_consumer)
Package: growler-jade
A Growler render engine for processingjadetemplate files.
This uses thepyjadepackage with the mako base - though thisshouldbe
strictly an implemenation detail and not a concern of the user.InstallationTo install the latest stable (published) version, use the pypi repositorypipinstallgrowler-jadeTo use the (semi-stable) development branch, you can use pip to directly
access the source repositorypipinstallgit+https://github.com/pyGrowler/growler-jade.git@devOtherwise, you can install locally viapythonsetup.pyinstallUsageThe only class the user has to worry about is JadeRenderer, which can be found in eithergrowler_jade.JadeRendereror the namespacegrowler_ext.jade_renderer.JadeRenderer.
The latter method is used by the growler extension auto-importergrowler.ext, making
importing multiple packages very clean.A JadeRenderer is created with a path (which must exist) which contains the template files
to render.
There are currently no configuration options available, but this is likely to change.
This object must be added to the application via the app.use() method.
In all server middleware following this object, a the ‘render’ method will be available
on the response object, allowing you to render any filename found in the given renderer’s
path:res.render('foo')rendersfoo.jadefound in the path.ExampleHere is a simple script which serves a single file,path/to/views/index.jadeupon
request to the root page:fromgrowlerimportAppfromgrowler.extimportJadeRenderer# do NOT import growler.ext.JadeRenderer directlyapp=App("Jade Example")app.use(JadeRenderer("path/to/views"))@app.get("/")defindex_page(req,res):ifhasattr(req,'user'):data={'username':req.user.name}else:data={'username':'Anonymous'}# renders path/to/views/index.jade with values given datares.render("index",data)app.create_server_and_run_forever(host='localhost',port=9000)ContributingContributions are welcome that follow theGrowler Contribution Guidelines.LicenseNo license has been chosen.
Package: growler-sass
AGrowlermiddleware package for renderingsassfiles into CSS
to be sent to the browser.This implementation useslibsassas the backend.UsageThis package provides the SassMiddleware class exposed ingrowler.ext, as
well as the ‘standard’ location ofgrowler_sass.
As a middleware class, objects are given to the application object in the order
they should be called after receiving a client’s request. This object checks
for the existence of aExampleIf you have a sass source files namedclient/style/neat_style.sasswith contents:body>pcolor:redAnd a python script to run a webapp,server/app.py# MUST be called like this! You cannot use import growler.ext.SassMiddlewarefromgrowler.extimportSassMiddlewarefromgrowlerimportAppapp=App("SassExample")app.use(SassMiddleware(source="client/style",dest='/styles'))...@app.get("/")defindex(req,res):res.send_html("""<!DOCTYPE html>
   <html>
   <head>
     <link href='/styles/neat_style.css' rel='stylesheet'>
     </head>
   <body>
     <p>This text should be red!</p>
     </body>
   </html>""")app.create_server_and_run_forever(...)A request made to/styles/neat_style.csswill return the compiled contents
ofneat_style.sass:body>p{color:red;}LicenseThis python package is licensed under the MIT license.