Saravanan666/pypi-org huggingface dataset:
Package: aprint
aprintA Python print package for those who don't care the actual elements of array-like data (e.g.numpy.array,torch.tensor) within a complex data structure.BackgroundBy default,printwill display the actual elements in array-like data, such asnumpy.arrayortorch.tensor, which is not very friendly for those who don't care about the actual elements.
Inspired by the leading scientific computing languageJulia, this package will print thetype and shapeof the data structure, as well as thetype and shapeof the elements within the data structure.Installationpip install aprintFor the latest version, you can install from github:pip install git+https://github.com/huangyxi/aprint.gitUsage>>>importnumpyasnp>>>importtorch>>>fromaprintimportaprint>>>aprint(np.array([1,2,3]))int64[3]numpy.ndarray>>>aprint({'a':torch.zeros(16,32).cuda(),2:[np.array([1,2]),(torch.zeros(2).to_sparse(),torch.zeros(2,3).to_sparse_csr(),torch.zeros(2,3,4).to_sparse_csc()),{'5',6,7.}]},indent_str='| '){# dict with len=2|'a':float32[16×32]torch.Tensorat'cuda:0'withgrad=False,|2:[# list with len=3||int64[2]numpy.ndarray,||(# tuple with len=3|||float32[2]torch.Tensorat'cpu'withlayout='COO',grad=False,|||float32[2×3]torch.Tensorat'cpu'withlayout='CSR',grad=False,|||float32[2×3×4]torch.Tensorat'cpu'withlayout='CSC',grad=False,||),||{# set with len=3|||'5',|||6,|||7.0,||},|],}>>>aprint([1,[2,[3,[4,[5]]]]],max_depth=3,indent_str="⋮ ")# default max_depth=5[# list with len=2⋮1,⋮[# list with len=2⋮⋮2,⋮⋮[# list with len=2⋮⋮⋮3,⋮⋮⋮[# list with len=2 ... ],⋮⋮],⋮],]>>>torch.tensor([1,2])|aprint# pipeline print (only for torch.Tensor and built-in iterators)int64[2]torch.Tensorat'cpu'withgrad=FalseRoadmappipeline support fortorch.Tensorcontinuous integrationsupport class inheritancesupport iterators' classessupport objects' classessupport more typestorch.nn.parameter.Parametercolorful outputglance of the dataLicenseMIT License
Package: apriorib
aprioribapriorib is a Python library that applies the very famous unsupervised learning algorithm, apriori, for Association Rule Mining(ARM) on a dataset of transaction/purchase logs and shows the accepted association rules.Currently, this version is limited to a maximum of 4 items in a certain transaction.New in this versionDisplays stage-wise final itemset as pandas DataFrames.InstallationUse the package managerpipto install apriorib.pipinstallaprioribQuick Startfromapriorib.aprioribimportAprioridata=[['MILK','BREAD','BISCUIT'],['BREAD','MILK','BISCUIT','CORNFLAKES'],['BREAD','TEA','BOURNVITA'],['JAM','MAGGI','BREAD','MILK'],['MAGGI','TEA','BISCUIT'],['BREAD','TEA','BOURNVITA'],['MAGGI','TEA','CORNFLAKES'],['MAGGI','BREAD','TEA','BISCUIT'],['JAM','MAGGI','BREAD','TEA'],['BREAD','MILK'],['COFFEE','COCK','BISCUIT','CORNFLAKES'],['COFFEE','COCK','BISCUIT','CORNFLAKES'],['COFFEE','SUGER','BOURNVITA'],['BREAD','COFFEE','COCK'],['BREAD','SUGER','BISCUIT'],['COFFEE','SUGER','CORNFLAKES'],['BREAD','SUGER','BOURNVITA'],['BREAD','COFFEE','SUGER'],['BREAD','COFFEE','SUGER'],['TEA','MILK','COFFEE','CORNFLAKES']]# Testing the Apriori classapr=Apriori(records=data,min_sup=2,min_conf=50)df1,df2,df3,df4=apr.show_as_df(stage=1),apr.show_as_df(stage=2),apr.show_as_df(stage=3),apr.show_as_df(stage=4)print("VIEWING THE ITEMSET DATAFRAMES AT THE DIFFERENT STAGES :\nSTAGE 1\n{}\nSTAGE 2\n{}\nSTAGE 3\n{}\nSTAGE 4\n{}".format(df1,df2,df3,df4))apr.checkAssc()ContributingPull 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.LicenseMIT
Package: apriorib1
apriorib1apriorib1 is a Python library that applies the very famous unsupervised learning algorithm, apriori, for Association Rule Mining(ARM) on a dataset of transaction/purchase logs and shows the accepted association rules.Currently, this version is limited to a maximum of 4 items in a certain transaction.New in this versionDisplays stage-wise final itemset as pandas DataFrames.InstallationUse the package managerpipto install apriorib1.pipinstallapriorib1Quick Startfromapriorib1importAprioridata=[['MILK','BREAD','BISCUIT'],['BREAD','MILK','BISCUIT','CORNFLAKES'],['BREAD','TEA','BOURNVITA'],['JAM','MAGGI','BREAD','MILK'],['MAGGI','TEA','BISCUIT'],['BREAD','TEA','BOURNVITA'],['MAGGI','TEA','CORNFLAKES'],['MAGGI','BREAD','TEA','BISCUIT'],['JAM','MAGGI','BREAD','TEA'],['BREAD','MILK'],['COFFEE','COCK','BISCUIT','CORNFLAKES'],['COFFEE','COCK','BISCUIT','CORNFLAKES'],['COFFEE','SUGER','BOURNVITA'],['BREAD','COFFEE','COCK'],['BREAD','SUGER','BISCUIT'],['COFFEE','SUGER','CORNFLAKES'],['BREAD','SUGER','BOURNVITA'],['BREAD','COFFEE','SUGER'],['BREAD','COFFEE','SUGER'],['TEA','MILK','COFFEE','CORNFLAKES']]# Testing the Apriori classapr=Apriori(records=data,min_sup=2,min_conf=50)df1,df2,df3,df4=apr.show_as_df(stage=1),apr.show_as_df(stage=2),apr.show_as_df(stage=3),apr.show_as_df(stage=4)print("VIEWING THE ITEMSET DATAFRAMES AT THE DIFFERENT STAGES :\nSTAGE 1\n{}\nSTAGE 2\n{}\nSTAGE 3\n{}\nSTAGE 4\n{}".format(df1,df2,df3,df4))apr.checkAssc()ContributingPull 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.LicenseMIT
Package: aprioripy
Aprioripy: Apriori algorithm.Apriori algorithm usage:fromapriopyimportApriopytest_table=pd.DataFrame({"items":["1, 3, 4","2, 3, 5","1, 2, 3, 5","2, 5"]})print("Test table")print(test_table)ap=Aprioripy(table=test_table)print("\nFrequency table:")print(ap.frequency_table)ap.apriori(min_support=0.5)foriinap.association_tables.keys():print("\nAssociation table "+i)print(ap.association_tables[i])test_table=pd.DataFrame([{"1":1,"2":0,"3":1,"4":1,"5":0},{"1":0,"2":1,"3":1,"4":0,"5":1},{"1":1,"2":1,"3":1,"4":0,"5":1},{"1":0,"2":1,"3":0,"4":0,"5":1}])print("\nTest table:")print(test_table)ap=Aprioripy(table=test_table,convert=False)print("\nFrequency table:")print(ap.frequency_table)ap.apriori(min_support=0.5)foriinap.association_tables.keys():print("\nAssociation table "+i)print(ap.association_tables[i])Output:Test table
        items
0     1, 3, 4
1     2, 3, 5
2  1, 2, 3, 5
3        2, 5

Frequency table:
  item  frequency
0    1       0.50
1    2       0.75
2    3       0.75
3    4       0.25
4    5       0.75

Association table L1
  item  frequency
0    1       0.50
1    2       0.75
2    3       0.75
4    5       0.75

Association table L2
  itemset  frequency
1  (1, 3)       0.50
4  (2, 3)       0.50
6  (2, 5)       0.75
8  (3, 5)       0.50

Association table L3
     itemset  frequency
7  (2, 3, 5)        0.5

Test table:
   1  2  3  4  5
0  1  0  1  1  0
1  0  1  1  0  1
2  1  1  1  0  1
3  0  1  0  0  1

Frequency table:
  item  frequency
0    1       0.50
1    2       0.75
2    3       0.75
3    4       0.25
4    5       0.75

Association table L1
  item  frequency
0    1       0.50
1    2       0.75
2    3       0.75
4    5       0.75

Association table L2
  itemset  frequency
1  (1, 3)       0.50
4  (2, 3)       0.50
6  (2, 5)       0.75
8  (3, 5)       0.50

Association table L3
     itemset  frequency
7  (2, 3, 5)        0.5
Package: apriori-python
Apriori Algorithm Python ImplementationHow to useInstall the Pypi package using pippip install apriori_pythonThen use it likefromapriori_pythonimportaprioriitemSetList=[['eggs','bacon','soup'],['eggs','bacon','apple'],['soup','bacon','banana']]freqItemSet,rules=apriori(itemSetList,minSup=0.5,minConf=0.5)print(rules)# [[{'beer'}, {'rice'}, 0.6666666666666666], [{'rice'}, {'beer'}, 1.0]]# rules[0] --> rules[1], confidence = rules[2]Clone the repoTo run the program with dataset provided and default values forminSupport= 0.5 andminConfidence= 0.5python apriori.py -f dataset.csvTo run program with dataset and min support and min confidencepython apriori.py -f dataset.csv -s 0.17 -c 0.68
Package: aprompt
aprompt - Advanced PromptWhy useinput()when you can goadvanced?apromptlets you prompt users in a neat way. It comes with a UI system
and everything is customizable!Features✅ Large set of built-in prompts.✅ Custom prompts✅ Custom themes✅ Drop-in replacement forargparse✅ Test APIAvailable PromptsWhile it is easily possible to create custom prompts, aprompt comes with
a lot of useful prompts.TextIntegerConfirmationPIN CodeSortChoiceMultiple ChoicePathDatetimeDateTimeUnchecked prompts are planned for the futureBasic Usagefromapromptimportpromptfromaprompt.promptsimportchoicelanguages:list[str]=prompt("In what languages can you code in?",choice("c","c++","erlang","fortran","haskell","javascript","nim","python","ruby","rust","typescript",multiple=True))# ... do something with `languages` ...Test APIapromptprovides the attributetest_withfor the main prompt wrapper to
test the result for a predefined sequence of keys.deftest_n()->None:assertnotprompt("",confirm(),test_with=iter("n\n"))Links🐍 Repo📦 PyPI📖 DocsToDoadd path prompt (as extension) and document itturnmatches toif-elsesadd demo file and add a GIF of it to the README (instead of only the choice variant)add GIFs to all prompt engines docsturn simple formatter into a classadd logo
Package: aprsd-borat-plugin
FeaturesTODORequirementsTODOInstallationYou can installBorat quotes for aprsdviapipfromPyPI:$pipinstallaprsd-borat-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,Borat quotes for aprsdis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-locationdata-plugin
FeaturesTODORequirementsTODOInstallationYou can installaprsd locationdata pluginviapipfromPyPI:$pipinstallaprsd-locationdata-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,aprsd locationdata pluginis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-mqtt-plugin
FeaturesTODORequirementsTODOInstallationYou can installAPRSD MQTT pluginviapipfromPyPI:$pipinstallaprsd-mqtt-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theApache Software License 2.0 license,APRSD MQTT pluginis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-repeat-plugins
FeaturesTODORequirementsTODOInstallationYou can installREPEAT service pluginsviapipfromPyPI:$pipinstallaprsd-repeat-pluginsUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,REPEAT service pluginsis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-sentry-plugin
FeaturesThis is a simple APRSD plugin that simply initializes communication to a running Sentry service.http://sentry.ioInstallationYou can installAPRSD Plugin for sentry supportviapipfromPyPI:$pipinstallaprsd-sentry-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theApache Software License 2.0 license,APRSD Plugin for sentry supportis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-slack-plugin
This project is a python plugin for the APRSD server daemon written by
Craig Lamparter.   The plugin looks for location APRS commands from a ham
radio, then reports that location to a slack channel.  This is basically a
location proxy.RequirementsPython 3.6+.
APRSD -http://github.com/craigerl/aprsdNoteBecausePython 2.7 supports ended January 1, 2020, new projects
should consider supporting Python 3 only, which is simpler than trying to support both.
As a result, support for Python 2.7 in this example project has been dropped.
Package: aprsd-stock-plugin
FeaturesAPRSD Plugin that gets a stock quote from Yahoo Finance python API and returns that.InstallationYou can installAPRSD Yahoo Finance Stock QuotesviapipfromPyPI:$pipinstallaprsd-stock-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theApache Software License 2.0 license,APRSD Yahoo Finance Stock Quotesis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-telegram-plugin
FeaturesHave a 2 way chat with users of Telegram messengerhttp://telegram.orgRequirementsYou have to create a telegram bot and start the botTelegram users have to add that bot and then /startTelegram user can then message the botOnly after a telegram user has successfully completed the above
can you then message a telegram user from an APRS enabled HAM Radio.InstallationYou can installaprsd-telegram-pluginviapipfromPyPI:$pipinstallaprsd-telegram-pluginNow edit your aprsd.yml config file and add the pluginaprsd:enabled_plugins:-aprsd_telegram_plugin.telegram.TelegramChatPluginservices:telegram:apiKey:<Your Telegram bot APIkey>shortcuts:'wb':hemna6969UsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,aprsd-telegram-pluginis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-timeopencage-plugin
FeaturesTODORequirementsTODOInstallationYou can installAPRSD plugin for Time using OpenCageviapipfromPyPI:$pipinstallaprsd-timeopencage-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theApache Software License 2.0 license,APRSD plugin for Time using OpenCageis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-twitter-plugin
FeaturesSent a tweet from your personal twitter account!to tweet send a message of “t Hello World #aprs #hamradio”RequirementsThis plugin requires you have a twitter account and create a developer
account with:api keyapi key secretaccess tokenaccess token secretAdd the following entries to the aprsd.yml fileservices:twitter:apiKey:<your api key here>apiKey_secret:<your api key secret here>access_token:<your Twitter app access token>access_token_secret:<your Twitter app access token secret>InstallationYou can installSend tweet via Ham RADIO!viapipfromPyPI:$pipinstallaprsd-twitter-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theMIT license,Send tweet via Ham RADIO!is free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-weewx-plugin
FeaturesTODORequirementsTODOInstallationYou can installAPRSD Weewx PluginviapipfromPyPI:$pipinstallaprsd-weewx-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theGNU GPL v3.0 license,APRSD Weewx Pluginis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsd-wxnow-plugin
FeaturesTODORequirementsTODOInstallationYou can installAPRSD Plugin for getting the closest wx reports to last beaconviapipfromPyPI:$pipinstallaprsd-wxnow-pluginUsagePlease see theCommand-line Referencefor details.ContributingContributions are very welcome.
To learn more, see theContributor Guide.LicenseDistributed under the terms of theApache Software License 2.0 license,APRSD Plugin for getting the closest wx reports to last beaconis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.CreditsThis project was generated from@hemna’sAPRSD Plugin Python Cookiecuttertemplate.
Package: aprsgate
aprsgate - Python APRS Gateway******************************aprsgate is a Redis PubSub-backed APRS Gateway (IGate, SGate, etc.)Installation============Install from pypi using pip: ``pip install aprsgate``Usage Examples==============TKTesting=======Run nosetests from a Makefile target::make testSee Also========* `aprs <https://github.com/ampledata/aprs>`_ Python APRS Module. Interface for APRS, APRS-IS, and APRS over KISS.* `kiss <https://github.com/ampledata/kiss>`_ Python KISS Module. Handles interfacing-to and encoding-for various KISS interfaces.* `dirus <https://github.com/ampledata/dirus>`_ Dirus is a daemon for managing a SDR to Dire Wolf interface. Manifests that interface as a KISS TCP port.* `aprsgate <https://github.com/ampledata/aprsgate>`_ Python APRS Gateway. Uses Redis PubSub to run a multi-interface APRS Gateway.* `aprstracker <https://github.com/ampledata/aprstracker>`_ TK.Similar Projects================* `apex <https://github.com/Syncleus/apex>`_ by Jeffrey Phillips Freeman (WI2ARD). Next-Gen APRS Protocol. (based on this Module! :)* `aprslib <https://github.com/rossengeorgiev/aprs-python>`_ by Rossen Georgiev. A Python APRS Library with build-in parsers for several Frame types.* `aprx <http://thelifeofkenneth.com/aprx/>`_ by Matti & Kenneth. A C-based Digi/IGate Software for POSIX platforms.* `dixprs <https://sites.google.com/site/dixprs/>`_ by HA5DI. A Python APRS project with KISS, digipeater, et al., support.* `APRSDroid <http://aprsdroid.org/>`_ by GE0RG. A Java/Scala Android APRS App.* `YAAC <http://www.ka2ddo.org/ka2ddo/YAAC.html>`_ by KA2DDO. A Java APRS Client.* `Ham-APRS-FAP <http://search.cpan.org/dist/Ham-APRS-FAP/>`_ by aprs.fi: A Perl APRS Parser.* `Dire Wolf <https://github.com/wb2osz/direwolf>`_ by WB2OSZ. A C-Based Soft-TNC for interfacing with sound cards. Can present as a KISS interface!Build Status============Master:.. image:: https://travis-ci.org/ampledata/aprsgate.svg?branch=master:target: https://travis-ci.org/ampledata/aprsgateDevelop:.. image:: https://travis-ci.org/ampledata/aprsgate.svg?branch=develop:target: https://travis-ci.org/ampledata/aprsgateSource======Github: https://github.com/ampledata/aprsgateAuthor======Greg Albrecht W2GMD oss@undef.nethttp://ampledata.org/Copyright=========Copyright 2016 Orion Labs, Inc.`APRS <http://www.aprs.org/>`_ is Copyright Bob Bruninga WB4APR wb4apr@amsat.orgLicense=======Apache License, Version 2.0. See LICENSE for details.
Package: aprslib
A python library for dealing with APRS.
It can be used to interact with APRS-IS servers, sending and receiving.
Parsing functionally is also included, but currently doesn’t implement the full spec.Seethe documentation.InstallationTo install the latest release frompypi:pip install aprslibTo install the latest dev version from theGithub repo:pip install git+https://github.com/rossengeorgiev/aprs-pythonContributionSuggestions, issues and pull requests are welcome.Just visit the repository athttps://github.com/rossengeorgiev/aprs-python
Package: aprspy
Introductionaprspyis an APRS packet parser and generator for Python.Currently supports:-DecodingStandard compressed/uncompressed location packetsMic-E location packetsMessage packets (including bulletins and announcements)Status report packetsEncodingUncompressed location packetsMessage packetsUsageBrief usage explanation:>>> from aprspy import APRS
>>> packet = APRS.parse('XX1XX>APRS,TCPIP*,qAC,FOURTH:=5030.50N/10020.30W$221/000/A=005Test packet')
>>> packet
<PositionPacket: XX1XX>
>>> packet.latitude
50.508333
>>> packet.longitude
-100.338333
>>> packet.course
221DocumentationDocumentation can be found athttps://aprspy.readthedocs.io/en/latest/.DevelopmentDependencies needed for development can be installed withpip install-rdev-requirements.txt.The documentation can be built locally by runningmakein thedocs/folder.CopyrightThis module is released under the MIT License, and is copyright 2019 Andy Smith <andy@nsnw.ca>
Package: ap-rss-reader
AP RSS-readerInstallationThe project has been tested only withpython 3.8on Ubuntu Linux and
Windows 10. If you have python 3.8 and above installed in your machine, just
install the AP RSS-reader fromPyPI:python--version
pipinstallap-rss-readerYou can find source code of this package ongithub. Seeaplatkouski/ap-rss-readerrepository.How to use it$ap_rss_reader"https://news.yahoo.com/rss/"--limit1Feed:YahooNews-LatestNews&Headlines
Url:https://news.yahoo.com/rss/
Description:ThelatestnewsandheadlinesfromYahoo!News.Getbreakingnewsstoriesandin-depthcoveragewithvideosandphotos.

Title:CaliforniafinallyliftsitslastbigCOVIDrestrictions.Didthestateplayittoosafe?
Link:https://news.yahoo.com/california-finally-lifts-its-last-big-covid-restrictions-did-the-state-play-it-too-safe-133838908.html
Date:2021-06-1513:38:38
Source:YahooNews
Links:[1]:https://s.yimg.com/os/creatr-uploaded-images/2021-06/28ddb610-cddc-11eb-8e72-e3afb144a08a(content).Utility provides the following interface:usage:ap_rss_reader[-h][--dateDATE][--limitLIMIT][--verbose][--version][--json][--to-htmlTO_HTML][--to-pdfTO_PDF][source]APRSS-readerwithCLI.

positionalarguments:sourceRSSURL

optionalarguments:-h,--helpshowthishelpmessageandexit--dateDATELimitnewstopicsbypublishingdate:YYYYMMDD--limitLIMITLimitnewstopicsifthisparameterprovided--verboseProvidesadditionaldetailsastowhattheprogramisdoing--versionShowstheversionoftheprogramandexits--jsonPrintresultasJSONinstdout--to-htmlTO_HTMLSaversschannelashtmlfilewithgivenpath:'C:\rss.html'or'/home/user/rss.html'.--to-pdfTO_PDFSaversschannelaspdffilewithgivenpath:'C:\rss.html'or'/home/user/rss.html'.In case of using--jsonargument utility converts the news intoJSONformat:{"articles":[{"link":"https://news.yahoo.com/california-finally-lifts-its-last-big-covid-restrictions-did-the-state-play-it-too-safe-133838908.html","media":[["content","https://s.yimg.com/os/creatr-uploaded-images/2021-06/28ddb610-cddc-11eb-8e72-e3afb144a08a","86","130"]],"pubdate":"2021-06-15 13:38:38","source":"Yahoo News","title":"California finally lifts its last big COVID restrictions. Did the state play it too safe?"}],"description":"The latest news and headlines from Yahoo! News. Get breaking news stories and in-depth coverage with videos and photos.","title":"Yahoo News - Latest News & Headlines","url":"https://news.yahoo.com/rss/"}With the argument--verboseprogram prints all logs in stdout.Development & ContributingDevelopment of this happens on GitHub, patches including tests, documentation
are very welcome, as well as bug reports!This project has acode of conduct. By interacting with this repository,
organization, or community you agree to abide by its terms.See also ourCONTRIBUTING.md.CopyrightCopyright (c) 2021 Artsiom Platkouski.ap-rss-readeris licensed under the
MIT License - see theLICENSE.txtfile for details.