Saravanan666/pypi-org huggingface dataset:
Package: fastybird-fb-bus-connector
FastyBird IoT FB BUS connectorWhat is FastyBird IoT FB BUS connector?FB BUS connector is a combinedFastyBirdIoTextension which is integratingFIBakaFastyBirdInterfaceBus for connected devicesFastyBirdIoTFB BUS connector is
anApache2 licenseddistributed extension, developed
inPHPwithNette frameworkand inPython.Features:FIB v1 protocol devices supportFIB connector management forFastyBirdIoTdevices moduleFIB device management forFastyBirdIoTdevices module{JSON:API}schemas for full api accessIntegrated connector Python workerRequirementsPHP part ofFastyBirdFB BUS connector is tested against PHP 7.4
andReactPHP http0.8 event-driven, streaming plaintext HTTP server
andNette framework3.0 PHP framework for real programmersPython part ofFastyBirdFB BUS connector is tested againstPython 3.7InstallationManual installationApplication backend in PHPThe best way to installfastybird/fb-bus-connectoris usingComposer:composerrequirefastybird/fb-bus-connectorApplication workers in PythonThe best way to installfastybird-fb-bus-connectoris usingPip:pipinstallfastybird-fb-bus-connectorMarketplace installationYou could install this connector in yourFastyBirdIoTapplication under marketplace sectionDocumentationLearn how to connect devices with FIB interface to FastyBird IoT system
indocumentation.FeedbackUse theissue trackerfor bugs
ormailorTweetus for any idea that can improve the
project.Thank you for testing, reporting and contributing.ChangelogFor release info checkrelease pageMaintainersAdam KadlecHomepagehttps://www.fastybird.comand
repositoryhttps://github.com/fastybird/fb-bus-connector.
Package: fast-youtube-search
Fast Youtube SearchThis is a simple library that allows you to search videos on Youtube.It is fast because it doesn't use selenium.For each video it returns the name, id , and the thumbnail's url.Installpipinstallfast-youtube-searchUsagefromfast_youtube_searchimportsearch_youtuberesults=search_youtube(['jorja','smith'])# receives an array of search terms as argumentprint(results)#returns a list of results(dictionaries)print(results[0])# a dictionary with properties name, id and img# OUTPUT# {#  'name': 'Jorja Smith - Blue Lights | A COLORS SHOW',#  'id': 'fYwRsJAPfec',#  'img': 'https://i.ytimg.com/vi/fYwRsJAPfec/hqdefault.jpg'#  }#Optional arguments# max_num_results : max number of results that the function returnsresults=search_youtube(['jorja','smith'],max_num_results=2)
Package: fastzbarlight
fastzbarlight is a fork of zbarlight which ships with its own vendored
libzbar, which it compiles with optimization flags to make it faster
than the stock Ubuntu version. Try out the simple “trial.py”
benchmark in this repository:` $ python trial.py Average call time with zbarlight: 2.0961521719982557ms (1000 tries) Average call time with fastzbarlight: 0.7335694559988042ms (1000 tries) `ZbarLightzbarlightis a simple wrapper for the zbar library. For now, it only allows to read QR codes but contributions,
suggestions and pull requests are welcome.zbarlightis compatible with Python 2 and Python 3.zbarlightis hosted on Github at <https://github.com/Polyconseil/zbarlight/>.InstallationYou need to install ZBar Bar Code Reader <http://zbar.sourceforge.net/> and its headers to usezbarlight:on Debian,apt-getinstall libzbar0libzbar-devon Mac OS X,brew install zbarThen you should usepiporsetuptoolsto install thezbarlightwrapper.How To use ZbarLightThe new way:fromPILimportImageimportzbarlightfile_path='./tests/fixtures/two_qr_codes.png'withopen(file_path,'rb')asimage_file:image=Image.open(image_file)image.load()codes=zbarlight.scan_codes('qrcode',image)print('QR codes:%s'%codes)The deprecated way:fromPILimportImageimportzbarlightfile_path='./tests/fixtures/one_qr_code.png'withopen(file_path,'rb')asimage_file:image=Image.open(image_file)image.load()converted_image=image.convert('L')# Convert image to gray scale (8 bits per pixel).image.close()raw=converted_image.tobytes()# Get image data.width,height=converted_image.size# Get image size.code=zbarlight.qr_code_scanner(raw,width,height)print('QR code:%s'%code.decode())
Package: fastzipfile
fastzipfileRead Standard Zip Encryption 2.0 encrypted Zips 100x faster with same interface as standard library'szipfile.ZipFileInstallationpip install fastzipfileUsageYou just need to importfastzipfileand thats it. It monkey patcheszipfilewith fast decrypter.importfastzipfileimportzipfilewithzipfile.ZipFile('path-to-file.zip',mode='r')asfz:f=fz.open('path-to-file-in-zip',pwd=b'password')content=f.read()LimitationCurrently it only supports what zipfile.ZipFile supports e.g. no AES-128 or AES-256 support.LicenseThis project is licensed under the MIT License - see theLICENSEfile for details
Package: fastzy
Python library for fast fuzzy search over a big file written in RustTable of ContentsTable of ContentsAbout The ProjectBuilt WithPerformanceInstallationUsageLicenseContactAbout The ProjectFastzy is a library written in Rust that can search through a file looking for text based on its distance (Levenshtein). For measuring the Levenshtein distance, the library uses mbleven's algorithm. In situations where the requested distance exceeds 3, where mbleven is slower, Wagner-Fischer is used instead of mbleven. This library loads the whole file into memory, and creates a lightweight index based on the length of the lines. The result is that only potential lines are looked up, opposed to a large number of lines.Built WithmblevenPyo3PerformanceLibraryFunctionTimepolylevenpolyleven.levenshtein('text')8.48sfastzyfastzy.search('text)0.003sInstallationpip3installfastzyUsageimportfastzy# open a file and index it in memorysearcher=fastzy.Searcher(file_path='input_text_file.txt',separator='',)# search for the input text 'text' with the distance of 1searcher.search(pattern='text',max_distance=1,)['test','texts','next']LicenseDistributed under the MIT License. SeeLICENSEfor more information.ContactGal Ben David -gal@intsights.comProject Link:https://github.com/Intsights/fastzy
Package: fasvaorm
FASva MySQL-ORMThis project contains a Object-relational mapping (ORM) that is used to access the MySQL/MariaDB
used within the research projectFASvausing SQLAlchemy.InstallationYou can find the latest version onPyPi.$pipinstallfasvaormUsageUtilizingfasvaormfor accessing the database is quite straightforward. Each available table is represented as a
class in thefasvaorm.modelsmodule. Here is an example on how to initialize and query the database.fromfasvaormimportinit_engine,get_sessionfromfasvaorm.modelsimportDrive# initialize the engine. Will also try to create the database if it does not exist.engine=init_engine("mysql+pymysql://{user}@{host}:{port}/{database}".format(**dict(user='root',host='localhost',port=3306,database='database')))# now get a sessionsession=get_session()# and use that session to query all available drivesfordinsession.query(Drive).all():print(d.name)# use can also access all records of that driveforrind.records:print(r.filepath)# or the vehicleprint(d.vehicle.serial_number)# or also all scenes of that driveforaind.aggregations:print(a.timestamp)For further examples on how to usefasvaormsee thetestspackage.AuthorsLars Klitzke(HSEL,GitHub,XING,LinkedIn,PyPi,Docker Hub)
Package: fasva-osmserver
FASva OSM-ServerThis is a server to forward requests to the Overpass server hosted on the HRZ. Thus, this tool should also run on HRZ
but the port of the server has to be forwarded to the MUX to access the server via the Apache server of MUX. For more
information about port forwarding using SSH seeSSH port-forwarding.InstallationYou can find the latest version onPyPI.$pipinstallfasva-osmserverAfter the installation, a configuration fileosmserver.cfgis installed into the<venv>/sharedirectory. Adapt
the options to your needs.UsageEither specify the--configflag to explicitly point to a configuration file or
let the server use the installed configuration file.$osmserver--config<directory>/osmserver.cfgSystem serviceInstead of callingosmserverdirectly, you can install it as a system service to automatically
start it on system startup.Therefore, a fileosmserver.servicecan be found in<venv>/share/next to the configuration
file. Before installing the service, you may have to adapt the path to osmserver. Then, copy the service
file to/etc/systemd/systemwith$cp<venv>/share/osmserver.service/etc/systemd/serviceand enable the service with$systemctlenableosmservice.serviceAuthorsLars Klitzke(HSEL,GitHub,XING,LinkedIn,PyPI,Docker Hub)
Package: fatamorgana
fatamorganafatamorganais a Python package for reading and writing OASIS format layout files.Homepage:https://mpxd.net/code/jan/fatamorganaCapabilities:This package is a work-in-progress and is largely untested -- it works for
the tasks I usually use it for, but I can't guarantee I've even
tried the features you happen to use! Use at your own risk!Interfaces and datastructures are subject to change!That said the following work for me:polygonslayer infocell namescompressed blocksbasic property I/OInstallationDependencies:python 3.5 or newer(optional) numpyInstall with pip from PyPi (preferred):pip3installfatamorganaInstall directly from git repository:pip3installgit+https://mpxd.net/code/jan/fatamorgana.git@releaseDocumentationMost functions and classes are documented inline.To read the inline help,importfatamorganahelp(fatamorgana.OasisLayout)The documentation is currently very sparse and I expect to improve it whenever possible!ExamplesRead an OASIS file and write it back out:importfatamorganawithopen('test.oas','rb')asf:layout=fatamorgana.OasisLayout.read(f)withopen('test_write.oas','wb')asf:layout.write(f)
Package: fatcat
fatcatA package written in Python to manage your servers, pterodactyl servers, and more for FatCat Hosting.FeaturesCreated using requests via apiCustomizableOptimized for speedInstallingPython 3.6 or higher is requiredTo install the library, you can just run the following command:# Linux/macOSpython3-mpipinstall-Ufatcat# Windowspy-3-mpipinstall-UfatcatExamplesGet Server Memory Usage# Getting the packagefromfatcatimportServer# Creating a server class with our base URL and declaring some variables, plain & text are optionalserver=Server(url="http://server_ip/",plain=False,text=True)# Printing total server memoryprint(server.total_memory())Get Active Server Memory Usage# Getting the packagefromfatcatimportServer# Creating a server class with our base URLserver=Server(url="http://server_ip/")# Printing active server memoryprint(server.active_memory())LinksDocumentationOfficial Discord ServerPyPiContact & SupportYou can contact me on Discord atINfoUpgraders#0001Official Support Server
Package: fate
fate====|Github All Releases| |version| |supported| |Twitter| |GitHub license||forthebadge| >fate is a simple CLI program which let's you browseFontAwesome icons on your terminal. Note : Python3+ only.Install Instructions : ``pip install fate`` or``pip install git+https://github.com/mr-karan/fate.git``|asciicast|Avilable commands :~~~~~~~~~~~~~~~~~~~To browse all the icons^^^^^^^^^^^^^^^^^^^^^^^``fate --icon``|icon| #### To narrow down you search with FontAwesome filter tags, use--filter or -f ``fate -filter``|icon| #### To narrow down your search with aliases tag, use --aliasesor -a ``fate --aliases``|icon| #### To narrow down your search with categories tag, use--category or -c ``fate --category``|icon| #### To echo the icon ``[name/ unicode/ html]`` hex use it with-e or --echo #####Example : ``fate -i -e name``.. figure:: screenshots/echo.png:alt: iconiconWhat's with the name ?~~~~~~~~~~~~~~~~~~~~~~Well, 'F'ont'A'wesome on 'Te'rminal = "fate" :) Credits to my goodfriend [@Kush](https://twitter.com/BurstDragon)For the icons to display properly on your system, you need to haveFontAwesome fonts installed. Grab the otf files from`here <https://fortawesome.github.io/Font-Awesome/>`__ You will need toinstall this font on your system for icons to be rendered properly.For Windows users : - pip install would most likely fail to install``pyyaml``, since ``PyYAML`` isn't actively maintained. You need to grabit manaully from`here <http://www.lfd.uci.edu/~gohlke/pythonlibs/#pyyaml>`__ - If youare using ``cmd`` god bless you. Change the character map using``chcp 65001``. Check`here <http://stackoverflow.com/questions/14109024/how-to-make-unicode-charset-in-cmd-exe-by-default>`__for additional instructions.License~~~~~~~MIT © Karan Sharma`LICENSE included here <LICENSE>`__.. |Github All Releases| image:: https://img.shields.io/github/downloads/mr-karan/fate/total.svg:target:.. |version| image:: https://img.shields.io/pypi/v/fate.svg:target: https://pypi.python.org/pypi/fate/.. |supported| image:: https://img.shields.io/pypi/pyversions/fate.svg:target: https://pypi.python.org/pypi/fate/.. |Twitter| image:: https://img.shields.io/twitter/url/https/pypi.python.org/pypi/fate.svg?style=social?style=flat-square:target: https://twitter.com/intent/tweet?text=Wow:&url=%5Bobject%20Object%5D.. |GitHub license| image:: https://img.shields.io/badge/license-MIT-blue.svg:target: https://raw.githubusercontent.com/mr-karan/fate/master/LICENSE.. |forthebadge| image:: http://forthebadge.com/images/badges/built-with-love.svg:target: http://forthebadge.com.. |asciicast| image:: https://asciinema.org/a/9oyqtsd9r6xh3ppryiy0yu14r.png:target: https://asciinema.org/a/9oyqtsd9r6xh3ppryiy0yu14r.. |icon| image:: screenshots/icon.png.. |icon| image:: screenshots/filter.png.. |icon| image:: screenshots/aliases.png.. |icon| image:: screenshots/category.png
Package: fate-flow
中文FATE Flow is a multi-party federated task security scheduling platform for federated learning end-to-end pipelineShared-State Scheduling ArchitectureSecure Multi-Party Communication Across Data CentersProviding production-level service capabilities:Data AccessComponent RegistryFederated Job&Task SchedulingMulti-Party Resource CoordinationData Flow TrackingReal-Time Job MonitoringMulti-Party Federated Model RegistryMulti-Party Cooperation Authority ManagementHigh AvailabilityCLI, REST API, Python APIDeploymentPlease refer toFATEDocumentationThe official FATE Flow documentation is herehttps://federatedai.github.io/FATE-Flow/latest/LicenseApache License 2.0
Package: fatequino-chatbot
InteraçãoThis project's module goal is to develop a chatbot that can provide information about Fatec Carapicuíba's university to the user. If you have any difficulty installing the required software, please check the documentation at the "README_COMPLIMENT" file.InstalationTo start Fatequino's chatbot in your machine, you'll need the following softwares:MongoDB, versão 4.x.xPython3, versão 3.7.xpip, versão 19.x.xMongoDBMongoDB Server is the database system used by the application.To install it, follow the official documentation:Install MongoDb Server Community EditionPython3 and PipPython is the programming language used to develop the chatbot.To install it, you can follow the instructions at its official website:Install PythonAlong with Python, you'll have thepiptool installed. This tool is used to manage Python application's dependencies.ExecutionStart your MongoDB instance at the port27017.Download or clone this repository (using the Git tool) and place it in a directory of your preference. For example:On Windows:c:\fatequinoOn Linux:$HOME/fatequinoCreate an environment variable namedFLASK_APPcontaning the valuemy_flask_app.pyUsing a command line tool access the chatbot's directory, for example:On Windows:c:\fatequino\Interação 1On Linux:$HOME/fatequino/Interação\ 1/Install the applications dependencies running this command on the command line:pip install -r requirements.txt. In case of error, maybe you should try to install the dependencies one by one.Note: Maybe you'll have to run the command above as system administrator (super user).Run thepython -m flask runcommand to execute the program.After these steps, the application can be accessed using thelocalhost:5000address on your browser.Post data into the ChatBotTo insert updated information about Fatec in the ChatBot's database, you'll have to download or access the Postman application. For more information accesshttps://www.postman.com/To insert data about the classes follow these steps:In the Postman application go to 'WorkSpaces', create a new tab, set it up for "POST" and put this URL in the URL field:http://127.0.0.1:5000/aulasInfoClick in "Body" and change it to "Raw" and change the "type" to "JSON"In the space below, insert the JSON appendix found in the classes.json file inside the project's "Interaction 1" directoryClick the "Send" button to send the data to the MongoDB database.To insert data about classes' schedules follow these steps:In the Postman application go to 'WorkSpaces', create a new tab, set it up for "POST" and put this URL in the URL field:http://127.0.0.1:5000/horarioLocalClick in "Body" and change it to "Raw" and change the "type" to "JSON"In the space below, insert the JSON appendix found in the classes.json file inside the project's "Interaction 1" directoryClick the "Send" button to send the data to the MongoDB database.Demonstration VideoThe following link will take you into a video where you will se an entire demonstration of the working project:https://www.youtube.com/watch?v=X33TMoHZzZo&list=PL-vxwN0gnrOu9jyA3wFWFJdjnTrME5EtF
Package: fateslist
fateslist.pyfateslist.py is a API wrapper/library aroundFates List, which is a great novel bot list featuring over hundreds of bots for our users owned byRootspring#6701. Seeherefor docsIssues And ContributingThis API wrapper/library is maintained byRootspring#6701. If you wish to contribute to this project or report an issue, please make a Github Issue or a Pull Request (templates coming soon)
Package: fat-ffipd
fat-ffipdFlask Application Template - For Fast Initial Project Developmentmasterdevelopfat-ffipd is a basic flask template that includes a basic authentication system
wth API support, as well as a default layout that incorporates them.It's meant to be a starting point for a flask app.Also incorporated are docker and docker-compose files that make setting up a
website rather simple.UsageTo convert this project into a new one, runinit.pyand follow the
prompts. This will set up the project in a new directory, defined by the
project name given during prompting.To start the web application, you can simply callpython server.pyafter
installing it usingpython setup.py install.To run the application in docker, make sure all necessary environment
variables are stored in the.envfile. Also make sure that theHTTP_PORTandDEPLOY_MODEenvironment variables are set.
If this is the case, simply rundocker-compose up -dto start the
application.Further InformationChangelogLicense (GPLv3)GitlabGithubProgstatsPyPi
Package: fathah
fathahLightweight NLP preprocessing package for Arabic languageInstallationpipinstallfathahUsagefromFathahimportTextCleanMethodsClean the textclean_textfunction includes all these functions:1. remove_emails2. remove_URLs3. remove_mentions4. hashtags_to_words5. remove_punctuations6. normalize_arabic7. remove_diacritics8. remove_repeating_char9. remove_stop_words10. remove_emojisIn other words,clean_textincludes all functions exceptremove_hashtagstext_cleaned1 = TextClean.clean_text(text)

print(text_cleaned1)Remove repeating characterremove_repeating_charfunctiontext_cleaned2 = TextClean.remove_repeating_char(text)

print(text_cleaned2)Remove punctuationsremove_punctuationsfunctiontext_cleaned3 = TextClean.remove_punctuations(text)

print(text_cleaned3)Normalize Arabicnormalize_arabicfunctiontext_cleaned4 = TextClean.normalize_arabic(text)

print(text_cleaned4)Remove diacriticsremove_diacriticsfunctiontext_cleaned5= TextClean.remove_diacritics(text)

print(text_cleaned5)Remove stop wordsremove_stop_wordsfunctiontext_cleaned6 = TextClean.remove_stop_words(text)

print(text_cleaned6)Remove emojisremove_emojisfunctiontext_cleaned7 = TextClean.remove_emojis(text)

print(text_cleaned7)Remove mentionsremove_mentionsfunctiontext_cleaned8 = TextClean.remove_mentions(text)

print(text_cleaned8)Convert any hashtags to wordshashtags_to_wordsfunctiontext_cleaned9 = TextClean.hashtags_to_words(text)

print(text_cleaned9)Remove hashtagsremove_hashtagsfunctiontext_cleaned10 = TextClean.remove_hashtags(text)

print(text_cleaned10)Remove emailsremove_emailsfunctiontext_cleaned11 = TextClean.remove_emails(text)

print(text_cleaned11)Remove URLsremove_URLsfunctiontext_cleaned12 = TextClean.remove_URLs(text)

print(text_cleaned12)ExamplefromfathahimportTextCleancleaner=TextClean(text)cleaner.remove_diacritics()# Outputs: السلام عليكم ورحمة الله وبركاتهThis package is under development. Contributions are highly welcomeGithub|IG
Package: father-humor-pip-package
⭐ ⭐ ⭐Father Humor⭐ ⭐ ⭐Descriptionfather-humor is a PIP package that you can install to utilize the built-in `import` method and render dad jokes directly to your terminal or your project's front-end deployment.Initialize Application:To take advantage of thefather-humor-pip-packageutilize the nativeimportmethod:from father_humor_pip_package import scraper.pyThis will give you access to the three functions, which scrape data from their respective websites and stores the data in text files:dad_jokes()will give you a random dad jokestar_wars()will give you a random Star Wars jokeprogramming()will give you a random Software Developer jokeIn addition to the above functions, you can also take advantage ofhelper()which is an easy way to select random jokes from one of the three previously mentioned categories.Lastly, the pip package will verify if you have the required dependencies installed, and if needed, will automate the process of installing them.Authors:Brendon HamptonGitHub|LinkedInAnthony HillGitHub|LinkedInIbraheem IbraheemGitHub|LinkedInBrian TarteGitHub|LinkedInUser StoriesStory 1As a user I want to install a pip package named "father-humor" for ease of integrationfeature tasksuser can install pip package named "father-humor"acceptance testsensure that the user installs the package correctlyscale⭐ 1-2 hoursStory 2As a user I want to call an imported function(s) that return list(s) of scraped dad jokesfeature tasksuser can import function(s) named based on maturity levelacceptance testsensure user can import all three functionsscale⭐ ⭐ ⭐ 1-2 daysStory 3As a user I want to select the category of the jokes so I can deliver content to my audiencefeature tasksuser can import "father-humor.{}"user can import "father-humor.{}"user can import "father-humor.{}"acceptance testsscale⭐ ⭐  1 dayStory 4As a user I want to scrape once and still have access to past scraped jokes so I don't have to keep scraping jokes.feature taskswhen user calls function for the first time the scraped jokes are saved in a new file
when user calls function after first time, the file is updatedacceptance testswhen function is called, text file existscheck if the jokes are in the filescale⭐ ⭐ ⭐ 1-2 daysStory 5As a user I want the jokes to display on the terminal so I have a visual representation of the jokefeature tasksuser can instantiate imported function(s) to get jokes to display on the terminalacceptance testswhen user instantiates function, user gets returned joke(s)scale⭐ 1-2 hoursHow to Use Our ApplicationLinks and URL'sLive Package| The living Downloadable PackageTest Package| Feature TestingDownload Our Package atFather Humor pip Package