Saravanan666/pypi-org huggingface dataset:
Package: jucombinator
Create all possible substitutions of a set of functional groups on a skeleton
structure.Usageimportjucombinatorcombinations=jucombinator.substitute(skeleton="c1ccc2cc3cc4cc5ccccc5cc4cc3cc2c1",substituents=["N(C)C","O","N","S","C","F"],n=2,)Intallationpipinstalljucombinator
Package: jude
judeHey Jude, don’t make it bad Take a sad song and make it better.Free software: Apache Software License 2.0Documentation:https://jude.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2019-07-01)First release on PyPI.
Package: judge0api
judge0api is a Python API for interacting with the Judge0 REST API.UsageUsing this tool is super easy!>>> import judge0api as api
>>> client = api.Client("https://api.judge0.com")
>>> client.wait = False  # Not needed on servers which support wait
>>> submission = api.submission.submit(
...     client,
...     b"print(f'Hello {input()}')",
...     71,
...     stdin=b'Judge0',
...     expected_output=b"Hello Judge0"
... )
>>> submission.load(client)  # Load the status from the server
>>> submission.stdout
'Hello Judge0'InstallationSimply runpip install judge0apiRequirementsPython requestsis required.CompatibilityOnly Python >= 3.6 is supported.Help!Your first place to get help should beThe Docs!However:Is something not working properly? Are the docs awful? Want to help make this better?
If the answer is yes then great! All you have to do is open an issue.LicenceThis software is released under the MIT LicenseAuthorsjudge0apiwas written byAaron Walker.
Package: judgetime
📦 setup.py (for humans)This repo exists to providean example setup.pyfile, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices forsetup.py, as well as some
commented–out nice–to–haves.For example, thissetup.pyprovides a$ python setup.py uploadcommand, which creates auniversal wheel(andsdist) and uploads
your package toPyPiusingTwine, without the need for an annoyingsetup.cfgfile. It also creates/uploads a new git tag, automatically.In short,setup.pyfiles can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)Check out the example!Installationcdyour_project# Download the setup.py file:#  download with wgetwgethttps://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py-Osetup.py#  download with curlcurl-Ohttps://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.pyTo DoTests via$ setup.py test(if it's concise).Pull requests are encouraged!More ResourcesWhat is setup.py?on Stack OverflowOfficial Python Packaging User GuideThe Hitchhiker's Guide to PackagingCookiecutter template for a Python packageLicenseThis is free and unencumbered software released into the public domain.Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.
Package: judi
JUDI - Bioinformatics Pipeline:Just Do Itjudicomes from the idea of bringing the power and efficiency ofdoitto
execute any kind of task under many combinations of parameter settings.Sample CodeSnippet fromtutorial, save it asdodo.py.fromjudiimportFile,Task,add_param,combine_csvsadd_param('100 101 102 103'.split(),'sample')add_param('1 2'.split(),'group')REF='hg_refs/hg19.fa'path_gen=lambdax:'{}_{}.fq'.format(x['sample'],x['group'])classAlignFastq(Task):inputs={'reads':File('orig_fastq',path=path_gen)}targets={'sai':File('aln.sai')}actions=[('bwa aln{}{}>{}',[REF,'$reads','$sai'])]classCreateBam(Task):mask=['group']inputs={'reads':AlignFastq.inputs['reads'],'sai':AlignFastq.targets['sai']}targets={'bam':File('aln.bam',mask=mask)}actions=[('bwa sampe{}{}{}| samtools view -Sbh - | samtools sort - >{}',[REF,'$sai','$reads','$bam'])]classGetCoverage(Task):mask=['group']inputs={'bam':CreateBam.targets['bam']}targets={'cov':File('cov.csv',mask=mask)}actions=[('(echo val; samtools rmdup{}- | samtools mpileup - | cut -f4) >{}',['$bam','$cov'])]classCombineCoverage(Task):mask=['group','sample']inputs={'cov':GetCoverage.targets['cov']}targets={'csv':File('combined.csv',mask=mask),'pdf':File('pltcov.pdf',mask=mask,root='.')}actions=[(combine_csvs,['#cov','#csv']),("""echo "library(ggplot2); pdf('{}')ggplot(read.csv('{}'), aes(x = val)) +geom_density(aes(color = factor(sample)))"\| R --vanilla""",['$pdf','$csv'])]Run from terminal:$doitlistAlignFastqCombineCoverageCreateBamGetCoverage$doit. AlignFastq:group~1,sample~100. AlignFastq:group~2,sample~100. AlignFastq:group~1,sample~101. AlignFastq:group~2,sample~101. AlignFastq:group~1,sample~102. AlignFastq:group~2,sample~102. AlignFastq:group~1,sample~103. AlignFastq:group~2,sample~103. CreateBam:sample~100. CreateBam:sample~102. CreateBam:sample~103. CreateBam:sample~101. GetCoverage:sample~100. GetCoverage:sample~102. GetCoverage:sample~103. GetCoverage:sample~101. CombineCoverage:Project DetailsWebsite & docs -https://pyjudi.readthedocs.ioProject management on github -https://github.com/ncbi/JUDILicenseThe MIT License
Copyright (c) 2019-2020 Soumitra Palsee LICENSE fileInstalljudiis tested on python 3.6.$pipinstalljudiDependenciesdoitDocumentationdocsfolder contains ReST documentation based on Sphinx.$makehtmlContributingOn github create pull requests using a named feature branch.
Package: judini-dev
Judini Python PackageThis package provides you with an easy way to interact with the Judini API in your Python applications.InstallTo install the package, simply run the following command:pipinstalljudiniUsegeBelow is a sample code demonstrating how to use the Judini package in your Python application:# Import the packageimportasynciofromjudini.agentimportAgentdefmain():# Replace with your actual API key and URL IDapi_key="your_api_key_here"agent_id="your_agent_id_here"# Initialize the Judini classagent_instance=Agent(api_key,agent_id)# Optional: update API key or URL ID if neededagent_instance.set_api_key("new_api_key")agent_instance.set_agent_id("new_agent_id")# Create the promptprompt='Escribeme un parrafo de un cuento sobre una tortuga azul'# Make a completion requestresponse=asyncio.run(agent_instance.completion(prompt,stream=False))# Handle the response as neededprint(response)if__name__=="__main__":main()
Package: juditha
judithaA super-fast lookup service for canonical names based on redis and configurable fallback upstream sources (currentlyAlephandWikipedia).judithawants to solve the noise/garbage problem occurring when working withNamed Entity Recognition. Given the availability of huge lists ofknown names, such as company registries or lists of persons of interest, one could canonizener-results against this service to check if they are known.The implementation uses a pre-populated redis cache which can fallback to other sources.quickstartpip install judithastart local redisdocker run -p 6379:6379  redispopulateecho "Jane Doe\nAlice" | juditha loadlookupjuditha lookup "jane doe"
"Jane Doe"To match more fuzzy, reduce the threshold (default 0.97):juditha lookup "doe, jane" --threshold 0.5
"Jane Doe"data importfrom ftm entitiescat entities.ftm.json | juditha load --from-entitiesfrom anywherejuditha load -i s3://my_bucket/names.txt
juditha load -i https://data.ftm.store/eu_authorities/entities.ftm.json --from-entitiesa complete dataset or catalogFollowing thenomenklaturaspecification, a dataset json config needsnames.txtorentities.ftm.jsonin its resources.juditha load-dataset https://data.ftm.store/eu_authorities/index.json
juditha load-catalog https://data.ftm.store/investigraph/catalog.jsonuse in python applicationsfromjudithaimportlookupassertlookup("jane doe")=="Jane Doe"assertlookup("doe, jane")isNoneassertlookup("doe, jane",threshold=0.5)=="Jane Doe"run as apiuvicorn --port 8000 juditha.api:app --workers 8api callsJust do head requests to check if a name is known:curl -I "http://localhost:8000/jane%20doe"
HTTP/1.1 200 OK

curl -I "http://localhost:8000/John"
HTTP/1.1 404 Not FoundAn actual request returns the canonized name:curl "http://localhost:8000/doe,%20jane?threshold=0.5"
Jane Doesettingsset redis endpoint via environment variable:REDIS_URL=redis://localhost:6379sourcesCreate ayamlconfig:sources:-klass:alephconfig:host:https://aleph.investigativedata.org# api_key: ...-klass:alephconfig:host:https://aleph.occrp.org# api_key: ...-klass:wikipediaconfig:url:https://de.wikipedia.orgStore this as a file (e.g.config.yml) and use it via env vars:JUDITHA_CONFIG=config.yml juditha lookup "Juditha Dommer"If a lookup is not found in redis,judithawould use the fallback sources in the given order to lookup names. The results are stored in redis for the next call.use remote judithaThejudithaclient can use a remote api endpoint of a deployedjuditha:JUDITHA=https://juditha.ftm.store juditha lookup "HIMATIC EXPLOTACIONES SL"fromjudithaimportJudithaj=Juditha("https://juditha.ftm.store")assertj.lookup("HIMATIC EXPLOTACIONES SL")isnotNonethe nameJuditha Dommerwas the daughter of a coppersmith and raised seven children, while her husband Johann Pachelbel wrote acanon.
Package: judoka
JudokaJudoka is a command line utility that lets you define project scoped commands and call them through their alias. It lets you just do (= judo) your work.InstallationInstall this library usingpip:$ pip install judokaUsageCreate a.judorcfile in your project root, like the example below:greet="cowsay 'Hi!'"[frontend]start="npm run start"[backend]start="docker compose up -d"Then, just run any of the aliases:$judogreet
$judofrontend:start
$judobackend:startOr, have a list of all the available commands in your project:$judoYou may also choose to include a.judorcfile in your$HOMEfolder (~/.judorc). Commands defined in this file will always be loaded first and will be overwritten if an overlapping command was found.Shell completionsTo install judo shell completions, executejudo-completions [--apply] {bash|fish|zsh}to get instructions on how to install completions for your shell of choice. By including the--applyoption, the installation instructions will be applied for you.Note:Don't forget to reload your shell session after installation to load the completions.DevelopmentTo contribute to this library, first checkout the code. Then create a new virtual environment:cd judoka
python -mvenv venv
source venv/bin/activateOr if you are usingpipenv:pipenv shellNow install the dependencies and test dependencies:pip install -e '.[test]'To run the tests:pytest
Package: judson
OverviewThe judson project contains the judson function. This function creates a dictionary from two iterators of the same length using the howe project. The judson project is named for W. L. Judson, one of the inventors of the zipper.InstallationTo install judson, you can usepip. Open your terminal and run:pipinstalljudsonLicenseThis project is licensed under the MIT License.LinksDownloadSourceCreditsAuthor: JohannesEmail:johannes-programming@posteo.orgThank you for using judson!
Package: juduino
DuinolaboDuinolaboest un module à destination des enseignants de physique chimie et de biologie qui permet la réalisation souspythonde systèmes de mesures utilisant la carteArduino.Ce module est très efficace etsimplifie considérablementla réalisation demesures temporellesoupoint par pointà l'aide d'une carteArduino.Duinolaboest constitué de deux bibliothèques :pduinoqui fonctionne sous pythonjuduinoqui permet de créer très simplement des systèmes d'interfaces de mesures graphiques sous jupyter.Sans remplacer un oscilloscope ou une interface de mesures, le système peut néanmoins effectuer des mesures temporelles de 100 ou 200 points jusqu'à une fréquence de 40kHz, ce qui est largement suffisant dans la plupart des cas du programmes de lycée.Dans la mesure où toutes les activités sont basées sur le même modèle, (en particulier avecjuduinosous Jupyter), les élèves, conformément au B.O. Français, se familiarisent rapidement avec l'environnementpythonpour analyser leurs résultats.Sont également fournis plusieurs exemples documentés, fonctionnels et testés avec des élèves, applicables au programme Français de sciences physiques dans les classes de lycée.InstallationSi vous travaillez uniquement avec un IDEphyton(edupython, thonny, spyder, ect...), dans la console de votre environnement python, tapez:pip install pduinoSi vous travaillez avec Jupyter, dans la console de votre environnement Jupyter, tapezpip install pduinopuispip install juduinoGithubDocumentation, exemples et sources sur github :https://github.com/bultec/duinolab
Package: judyz-cffi
judyzjudyz is another (pair of) Python wrapper(s) for theJudylibrary.It implements both aCFFIand aCythonwrapper.Note that the Cython wrapper is currently unmaintained: it doesn't work with PyPy, unlike CFFI.judyz-cythonmust be compiled, unlikejudyz-cffi.Compilation Requirementslibjudy-devcythonlibffi-devpython-cffi (or pypy)...Distributionjudyz-cffiis distributed as source:python setup.py sdistjudyz_cythoncan be distributed as an egg:python setup.py bdist_eggTo compilejudyz-cythoninplace:cd src/judycython
python setup.py build_ext -i
cd ../..
nosetestsInstallation From Local BuildIfpip installdoesn't work:pip install --pre --no-index --find-links .../judyz/src/judyzcffi/dist/judyz_cffi-0.1.tar.gz judyz-cffieasy_install .../judyz/src/judyzcython/dist/judyz_cython-0.1-py2.7-linux-x86_64.eggUsage Requirementslibjudydebian1 (not the Ubuntu 14.04 buggy one)judyz-cffi: libffi6
Package: jugaad-trader
Free Zerodha API - jugaad-traderJugaad trader implements reverse engineered API for Zerodha in python (hence the name Jugaad). With this library you can programatically execute trades, retrieve your order and trade books, holdings, margins among other things.Documentation -https://marketsetup.in/documentation/jugaad-trader/Installationpip install jugaad-traderQuick startStep 1 - Log in to Zerodha account with jtrader CLI$ jtrader zerodha startsession
User ID >: Zerodha User Id
Password >:
Pin >:
Logged in successfullyStep 2 - Instantiate Zerodha and issue commandsfromjugaad_traderimportZerodhakite=Zerodha()# Set access token loads the stored session.# Name chosen to keep it compatible with kiteconnect.kite.set_access_token()# Get profileprofile=kite.profile()print(profile)How to contributeRefer this document how to contribute -https://github.com/jugaad-py/jugaad-trader/blob/master/contributing.mdArticles and examples using Jugaad-Traderhttps://marketsetup.in/tags/jugaad-trader/
Package: jugendschutzprogramm
Jugendschutzprogramm APIThis is a simple API client for theJugendschutzprogramm API. It allows you to query the age rating of a website.This might be useful if you want to check if a website is suitable for children or just want to know if your website is blocked by theJugendschutzprogramm.InstallationpipinstalljugendschutzprogrammUsagefromjugendschutzprogrammimportJugendschutzAPIClientclient=JugendschutzAPIClient()result=client.check_age(url="https://www.google.com",age=6)# the age is the age we use to check agains the api because it might influence the returned allowed age.print(result)print(result.age)print(result.url)LicenseThis project is licensed under the terms of the Apache 2.0 license.DisclaimerThis project is not affiliated with or encouraged by theJugendschutzprogramm. However it is a helpful for journalists and researchers to check if a website is blocked by theJugendschutzprogramm.
Package: juggernaut
Dead simple Python library that connects to a juggernaut via
redis.  It also provides a very basic roster implementation that
can be used as a daemon process to manage online users.Basic usageHow to send a message to all subscribers of a channel:from juggernaut import Juggernaut
jug = Juggernaut()
jug.publish('channel', {'message': 'Hello World!'})Connection EventsJuggernaut also allows you to subscribe to events (new subscription,
unsubscribe event) so that you can respond to users going online
and offline:from juggernaut import Juggernaut
jug = Juggernaut()
for event, data in jug.subscribe_listen():
    if event == 'subscribe':
        ...
    elif event == 'unsubscribe':
        ...Since this is quite common this library also implements a Roster
that can group multiple connections to the same user.  For grouping
this it uses a key in the meta part of the message.  The default
isuser_idin the meta object.Example usage:from juggernaut import Juggernaut, RedisRoster
jug = Juggernaut()
roster = RedisRoster(jug)
roster.run()By default it keeps the number of online users in redis so that you
can use the roster class to see if users are online:>>> roster.get_online_users()
[42, 23]
>>> roster.is_user_online(42)
True
>>> roster.is_user_online(99)
FalseIf you want to respond to users signing in and out you need to
override theon_signed_inandon_signed_outmethods:class MyRoster(RedisRoster):
    def on_signed_in(self, user_id):
        print 'User signed in', user_id
    def on_signed_out(self, user_id):
        print 'User signed out', user_idYou can for instance use juggernaut to broadcast that to other
users that signed in.copyright:2011 by Armin Ronacher.license:BSD, see LICENSE for more details.
Package: jugri
JUGRIThe JUpyter-GRemlin Interface.
The Gremlinpython package is easy to use to
create queries against any property graph
that supports the Tinkerpop interface.
However, parsing the gremlin results is more complex
as the returned list can contain many objects.
The JUGRI package will help the developer by providing
an easy to use interface to convert these results into
the widely used Pandas DataFrame.More features are on their way...RequirementsTested on Python 3.7gremlinpythonpandasInstall/updateInstall from PyPI (the usual way)pip install --user --upgrade jugriInstall from sourcepip install --user --upgrade -e git+git@github.com:meltwater/jugri.git#egg=jugrior (using https)pip install --user --upgrade -e git+https://github.com/meltwater/jugri.git#egg=jugriUsageConvert Gremlin query results to a Pandas DataFrame:importjugrifromgremlin_python.structure.graphimportGraphgraph=Graph()g=graph.traversal()df=jugri.to_df(g.V().valueMap(True).limit(10))# df is a Pandas DataFrame with the results of the query.You can find aJupyter notebook examplein theexamplefolder.Uninstallpip uninstall jugri
Package: juhe
juheInstallsudo pip3 install juhe
from juhe import APIUsage汇率API().query_exchange("输入你的Key")
>>>
{
'加拿大元': {   '中行折算价': '521.49',
            '交易单位': '100',
            '现汇买入价': '517.59',
            '现钞买入价': '502.79',
            '现钞卖出价': '521.49',
            '货币名称': '加拿大元'},
'新西兰元': {   '中行折算价': '462.26',
            '交易单位': '100',
            '现汇买入价': '458.81',
            '现钞买入价': '445.69',
            '现钞卖出价': '465.02',
            '货币名称': '新西兰元'},
'日元': {   '中行折算价': '5.9834',
          '交易单位': '100',
          '现汇买入价': '5.9381',
          '现钞买入价': '5.7683',
          '现钞卖出价': '5.9834',
          '货币名称': '日元'},
'欧元': {   '中行折算价': '780.75',
          '交易单位': '100',
          '现汇买入价': '775.54',
          '现钞买入价': '753.13',
          '现钞卖出价': '780.75',
          '货币名称': '欧元'},
'港币': {   '中行折算价': '84.23',
          '交易单位': '100',
          '现汇买入价': '83.89',
          '现钞买入价': '83.3',
          '现钞卖出价': '84.23',
          '货币名称': '港币'},
'澳大利亚元': {   '中行折算价': '501.03',
             '交易单位': '100',
             '现汇买入价': '497.28',
             '现钞买入价': '483.06',
             '现钞卖出价': '501.03',
             '货币名称': '澳大利亚元'},
'瑞典克朗': {   '中行折算价': '76.34',
            '交易单位': '100',
            '现汇买入价': '75.77',
            '现钞买入价': '73.61',
            '现钞卖出价': '76.34',
            '货币名称': '瑞典克朗'},
'瑞士法郎': {   '中行折算价': '706.86',
            '交易单位': '100',
            '现汇买入价': '701.58',
            '现钞买入价': '681.51',
            '现钞卖出价': '706.86',
            '货币名称': '瑞士法郎'},
'美元': {   '中行折算价': '655.7',
          '交易单位': '100',
          '现汇买入价': '653.02',
          '现钞买入价': '648.44',
          '现钞卖出价': '655.7',
          '货币名称': '美元'},
'英镑': {   '中行折算价': '907.31',
          '交易单位': '100',
          '现汇买入价': '900.54',
          '现钞买入价': '874.78',
          '现钞卖出价': '907.31',
          '货币名称': '英镑'},
'韩元': {   '中行折算价': '0.604',
          '交易单位': '100',
          '现汇买入价': '0.583',
          '现钞买入价': '0.5666',
          '现钞卖出价': '0.604',
          '货币名称': '韩元'}}笑话api.get_jokes(key)[
      "高中一班主任陈老师，因其身高比较矮，同学给起了个外号叫“武大郎”，后来被老师得知，要求同学带家长，同学跟家里说了原委，家长带着同学到老师办公室致歉，该同学家长进门就说:“武老师，小孩子不懂事，还忘您能海涵”，后来同学告诉我们班主任当时那表情都抽搐了，足足让我们笑了一学期。",
      "…给闺女买了一双小皮鞋，花了两张毛爷爷，小鞋很结实，闺女穿了好多天后要我给她买鞋，说不喜欢了，我就各种教育，比如要穿破之后买，要知道省钱……等等。今天再回去的时候，姑娘左手拎着残破的鞋子，右手拿着剪刀，跑过来说:爸爸，现在可以买新的鞋子了吧！来，过来，爸爸保证不打你，我的亲闺女。",
  ]
Package: juicenet-cli
juicenetCLI tool designed to simplify the process of uploading files to UsenetTable Of ContentsAbout the ProjectInstallationLocalDockerDocsLicenseAbout The ProjectUploading stuff to Usenet is tedious so I tried to make it easier.UsesParParandNyuuunder the hoodRecursively searches for files with pre-defined extensions injuicenet.yamlor as passed in--extsAlternatively, searches for glob patterns passed in--globPreserves folder structure without RAR.RAR sucks and here's whyDoes everything automatically and gives you the resultingnzbsin a neatly sorted mannerOffers the option to pick and choose what it does if you don't want it doing everything automaticallyAutomatically checks for and reposts failed articles from last run. Also has the option to not do this.Can continue from where it stopped if it gets interrupted for any reasonInstallationLocalPrerequisitesPython >= 3.9ParPar >= 0.4.2Nyuu >= 0.4.2InstallationWithpipx(recommended):pipxinstalljuicenet-cliWith pip:pipinstalljuicenet-cliFor more details, checkout the local installation guidehereDocker---version:"2.1"services:juicenet:image:ravencentric/juicenet-cli:latestcontainer_name:juicenetenvironment:-PUID=1000-PGID=1000-TZ=Etc/UTCvolumes:-host/path/to/config/nyuu.docker.private.json:/config/nyuu.docker.private.json-host/path/to/config/nyuu.docker.public.json:/config/nyuu.docker.public.json-host/path/to/data/nzbs:/data/nzbs-host/path/to/data/appdata:/data/appdata-host/path/to/data/raw:/data/raw-host/path/to/media:/mediadockercompose-f"path/to/docker-compose.yml"runjuicenet--helpFor more details, checkout the docker installation guidehereDocsCheckout the complete documentationhereLicenseDistributed under theUnlicenseLicense. SeeUNLICENSEfor more information.