Saravanan666/pypi-org huggingface dataset:
Package: jejudo
This module is built on top of Jishaku.Download jishakupipinstall-U"jishaku @ git+https://github.com/Gorialis/jishaku@master"jejudo is an extension for bot developers that enables rapid prototyping, experimentation, and debugging of features for bots.One of jejudo's core philosophies is to be dynamic and easy-to-use. Here's the two step install:Download jejudo on the command line using pip:pipinstall-UjejudoLoad the extension in your bot code before it runs:bot.load_extension('jejudo')# orawaitbot.load_extension('jejudo')That's it!You can also import the module to use the command development utilities.Command reference>jejudo [py|python] <argument>The Python commands execute or evaluate Python code passed into them.
            It supports simple expressions:>jejudo py 3+4Beep Bot7It also supports async expressions:>jejudo py await _ctx.pins()Beep Bot[<Message id=123456789012345678 ...>, ...]You can pass in codeblocks for longer blocks of code to execute, and you can useyieldto return intermediate results within your processing.Theinspectvariant of the command will return a codeblock with detailed inspection information on all objects returned.The variables available by default in all execution contexts are:_ctxTheContextthat invoked the command._botThe runningBotinstance._author_channel_guild_me_message_msgShortcuts for attributes on_ctx._find_getShortcuts fordiscord.utilsfunctions.The underscore prefix on the provided variables is intended to help prevent shadowing when writing large blocks of code within the command.If you decide that you don't want the prefix, you can disable it by setting thejejudo_NO_UNDERSCOREenvironment variable totrue.Each Python command is individually scoped. That means variables you create won't be retained in later invocations.>jejudo [sh|shell] <argument>The shell command executes commands within your system shell.If you're on Linux and are using a custom shell, jejudo will obey theSHELLenvironment variable, otherwise, it will use/bin/bash.On Windows, jejudo will use PowerShell if it's detected, otherwise, it will use Command Prompt.>jejudo [load|reload] [extensions...]>jejudo unload [extensions...]These commands load, reload, or unload extensions on your bot.You can reload jejudo itself withjsk reload jejudo.jsk reload ~will reload all extensions on your bot.You can load, reload, or unload multiple extensions at once:jsk reload cogs.one cogs.two>jejudo shutdownThis command gracefully shuts down your bot.>jejudo rttThis command calculatesRound-Trip Timefor your bot to the API. It does this by calculating response time samples, so you can tell if your bot is being slow or not.
Package: jejunuMeals
jejunuMeals제주대학교 학식 조회 모듈Lookup meals data forJeju National University.Install$pipinstalljejunuMealsUsage>>>fromjejunuMealsimportJejunuMeals>>>frompprintimportpprint>>>pprint(JejunuMeals().menus()){0:{'저녁':{'양식':['없음'],'정식':['검정쌀밥','얼큰열무국','돼지고기야채볶음(pork)','오이된장무침','김치'],'중식':['없음'],'특식':['없음']},'점심':{'양식':['치즈오븐스파게티'],'정식':['베이컨야채볶음밥(pork)','달걀파국','볶음우동','김치'],'중식':['없음'],'특식':['검정쌀밥','쇠고기된장찌개(beef)','순살양념치킨(chicken)','양배추사과샐러드','콩나물무숙채','김치']}},1:{'저녁':{'양식':['없음'],'정식':['쌀밥','어묵탕','쇠고기야채볶음(beef)','톳무침','김치'],'중식':['없음'],'특식':['없음']},'점심':{'양식':['등심돈가스(pork)/스프','양배추샐러드','단무지/김치'],'정식':['에그스크램블볶음밥','무된장국','별미떡볶음','김치'],'중식':['없음'],'특식':['보리밥','돼지갈비찜(pork)','무된장국','편마늘멸치볶음','브로콜리맛살무침','김치']}},2:{'저녁':{'양식':['없음'],'정식':['차조밥','김치찌개(pork)','생선가스/타타르소스','깻잎순무침','김치'],'중식':['없음'],'특식':['없음']},'점심':{'양식':['크림파스타'],'정식':['닭가슴살카레라이스(chicken)','취나물된장국','아몬드쥐치채볶음','김치'],'중식':['없음'],'특식':['비빔밥/약고추장(pork)','취나물된장국','어묵볶음','오이생채','김치','요구르트']}},3:{'저녁':{'양식':['없음'],'정식':['쌀밥','김치콩나물국','닭고기떡조림(chicken)','옛날소시지전','김치'],'중식':['없음'],'특식':['없음']},'점심':{'양식':['치즈오븐스파게티'],'정식':['제육덮밥(pork)','유채된장국','부추양파겉절이','김치'],'중식':['없음'],'특식':['현미밥','해물순두부뚝배기','순대야채볶음','피망잡채(beef)','무말랭이무침','김치']}},4:{'저녁':{'양식':['없음'],'정식':['혼합잡곡밥','동태찌개','돼지고기두루치기(pork)','유채나물무침','김치'],'중식':['없음'],'특식':['없음']}APIJejunuMeals().menus()Fetch meal data of specific weekday.>>>fromjejunuMealsimportJejunuMeals>>>fromdatetimeimportdate>>>frompprintimportpprint>>>pprint(JejunuMeals().menus(date.today().weekday())){'저녁':{'양식':['없음'],'정식':['쌀밥','어묵탕','쇠고기야채볶음(beef)','톳무침','김치'],'중식':['없음'],'특식':['없음']},'점심':{'양식':['등심돈가스(pork)/스프','양배추샐러드','단무지/김치'],'정식':['에그스크램블볶음밥','무된장국','별미떡볶음','김치'],'중식':['없음'],'특식':['보리밥','돼지갈비찜(pork)','무된장국','편마늘멸치볶음','브로콜리맛살무침','김치']}}Parameter (optional)The weekday on which you want to fetch meal data.This value only valid in between 0 and 4. if empty or greater than 4, return all menus.JejunuMeals().daily()Just an alias ofJejunuMeals().menus()Save to yamlYou shoud install beforepip install pyYamlimportyamlnoalias=yaml.dumper.SafeDumpernoalias.ignore_aliases=lambdaself,data:Truewithopen('output.yaml','w')asoutfile:yaml.dump(JejunuMeals().menus(),outfile,default_flow_style=False,allow_unicode=True,Dumper=noalias)jejunuMealsis primarily distributed under the terms of theMIT license.
Package: jekkish
IntroductionInspired by the writing workflow of Markdown + YAML used in Jekyll, I wanted a system that would allow me to do something similar for LaTeX files. More often than not, I reuse my LaTeX styles, and import a file of content in the {maincontent} environment. Hopefully you can find it useful too.This program takes files that look like the sample below (LaTeX content with YAML header), generates a full LaTeX file, and then compiles this with pdflatex or xelatex.DisclaimerWhile this code works (with no guarantees), it definitely needs tests and better error handling and more flexible of code. That said, this is far enough along that it works… so that’s pretty awesome! These files can be built directly in Sublime Text if you follow the instructions below.I intend to keep this compatible with both Python 2 and 3, but since it is in alpha, Python 3 support is not always guaranteed.Successfully run on OSX, Ubuntu, and Windows (cygwin).InstallationThis package is available on PyPI. To install, just typepip install jekkishin your terminal.If you use SublimeText, you can use place jekkish.sublime-build in your Sublime Packages/User directory.Dependencies.This package uses PyYAML, Jinja2. It assumes that pdflatex is installed and included in the system path.There is a bare-bones template called “default” included in this package and can be used as a reference. Additional templates should be placed in ~/.jekkish/Sample document, conventions, and instructionsBelow is a sample document.---
template: default
title: I wrote a something
subtitle: A tale of longing and desperation
author: Gebralter Crowlin
date:   "January 11, 1906"
packages:
  - GaramondPremierPro
  - endnotes
spacing: \doublespace
---
Look at \emph{all} of the things I wrote!The only reserved variable names aretemplateandcontent.Feel free to use any others you find useful for your documents. The system uses Jinja2, so you are free to make templates as simple or complicated as you please.Assumes thattemplate.tex can be found in ~/.jekkishShould be placed in the mainmatter of your template as (((content))).Everything above the YAML header will be ignored.Everything below the YAML header will be rendered in the (((content))) tag.In the template, these files are essentially LaTeX files, but with some templating logic.((* *)) is used for template logic(((variable_name))) is used for where variables will be rendered.((= comments =)) are found between these charactersAs of version 0.3.3, an additional flagxelatexcan be included in the YAML header. If detected, this flag will ensure that xelatex is used to compile the document, rather than pdftex. For conveniences’ sake, an additional template is added to handle XeLaTeX. This document can handle two font-specific variables:serifandsans.Command LineA full list of options can be found by runningjekkish--helpBasic usejekkish <filename>An optional jobname can be added, e.g.jekkish <filename> <jobname>To run Jekkish in watch mode type the above with the optional tag--watchLicenseThis software is available under theMITlicense
Package: jekyde
An example package. Generated with cookiecutter-pylibrary.Free software: MIT licenseInstallationpip install jekydeDocumentationhttps://jekyde.readthedocs.io/DevelopmentTo run the all tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.0.1 (2019-05-03)First release on PyPI.
Package: jekyllnb
JekyllNB: Jupyter Notebooks to Jekyll MarkdownJekyllNB extends Jupyter's command line toolnbconvertto add the Jekyll front matter to Markdown files and save generated images to a desired location.
This allows you to easily convert all your notebooks to the required format and immediately build your Jekyll site.
It works great in a GitHub Actions workflow to convert your notebooks to Markdown and deploy to GitHub Pages.
See JekyllNB in actionhere.InstallationJekyllNB is available on PyPI and can be installed withpip.pipinstalljekyllnbUsageJekyllNB is a Jupyter app just likenbconvert. Call it withjupyter jekyllnb.
The preprocessor reads metadata from your notebook to populate the Jekyll front matter.
Add ajekyllsection to your notebook metadata similar to:"jekyll":{"layout":"notebook","permalink":"/hello/","title":"Hello World!"}The exporter will add the following front matter to the generated Markdown:---
layout: notebook
permalink: /hello/
title: Hello World!
---OptionsSincejekyllnbextendsnbconvert, all existing options are supported. The following new options are available:--site-dir: Root directory of your Jekyll site. Markdown (page-dir) and image (image-dir) folders will be created here if they do not exist.--page-dir: Directory for generated Markdown files (e.g. _pages or _posts).--image-dir: Directory for images. Images are organized into folders for each notebook by default.
Alias for thenbconvertoptionNbConvertApp.output_files_dir.--no-auto-folder: Flag to turn off the default behavior of organizing images by notebook name withinimage-dir. (default:false)nbconvertJekyllNB also supportsnbconvertby registering an entry point for the exporter.
You can use the Jekyll exporter withnbconvertby callingjupyter nbconvert --to jekyll.Note: The options above are not available withnbconvert.
Package: jekyll-to-hugo
Jekyll to Hugo ConverterJekyll to Hugo Converter is a simple tool to convert Jekyll posts to Hugo posts.I've used this tool to convertmy blogfrom WordPress to Jekyll and finally to Hugo.The tool has the following features:Batch conversion.Post header fields drop/ignore.Links rewrite. (Search and Replace)Author name rewrite.It was written in a way that is easy to extend, while I wrote it for my own personal use, I hope you'll find some use for it as well.Note: This tool is not perfect, it will not convert everything. If you find a bug, please open a PR.Table of ContentsUsagePiPyPython From SourceDockerConfigurationExample ConfigurationLicenseUsagePiPy or PipxIf you have Python installed, you can use the following commands:pipinstalljekyll-to-hugo
jekyll-to-hugoYou will need to create aconfig.yamlfile in the current directory. See examplehere.pipxis a tool to install Python CLI tools in isolated environmentsPython From SourceIf you have Python installed, you can use the following commands:pipinstall-rrequirements.txt
python3jekyll-to-hugo.py<jekyll_post_path><hugo_post_path>To change the config, editconfig.yaml.The configuration file path can be configured with theCONFIG_PATHenvironment variable.DockerIf you don't have Python installed, you can use Docker:Build the image.dockerbuild-tjekyll-to-hugo-f./docker/Dockerfile.Run the image. You will need to mount the following directories: config file, Jekyll posts directory, Hugo posts directory.dockerrun-it--rm-v$(pwd):/appjekyll-to-hugoConfigurationThe configuration file is a YAML file. See examplehere.
The configuration file path can be configured with theCONFIG_PATHenvironment variable.Example Configurationlogging_level:"INFO"source_path:"/Users/dnutiu/PycharmProjects/jekyll-to-hugo/my_test_data/_posts"output_path:"/Users/dnutiu/NucuLabsProjects/NucuLabsDevBlog/content/posts"converter:"wordpress_markdown_converter"converter_options:enable_regex_heuristics:trueauthor_rewrite:"DenisNuțiu"links_rewrite:-source:"http://localhost/"target:"/"-source:"https://nuculabs.wordpress.com/"target:"https://nuculabs.dev/posts/"-source:"https://twitter.com/metonymyqt"target:"https://twitter.com/nuculabs"header_fields_drop:-restapi_import_id-original_post_id-timeline_notification-wordads_ufa-spay_email-amp_status-advanced_seo_description-publicize_twitter_userLicenseThis project is licensed under the GPL-3.0 license - see theLICENSEfile for details.Made with ❤️ byNucuLabs.dev
Package: jel
jel: Japanese Entity Linkerjel - Japanese Entity Linker - is Bi-encoder based entity linker for japanese.UsageCurrently,linkandquestionmethods are supported.el.linkThis returnes named entity and its candidate ones from Wikipedia titles.fromjelimportEntityLinkerel=EntityLinker()el.link('今日は東京都のマックにアップルを買いに行き、スティーブジョブスとドナルドに会い、堀田区に引っ越した。')>>[{"text":"東京都","label":"GPE","span":[3,6],"predicted_normalized_entities":[["東京都庁",0.1084],["東京",0.0633],["国家地方警察東京都本部",0.0604],["東京都",0.0598],...]},{"text":"アップル","label":"ORG","span":[11,15],"predicted_normalized_entities":[["アップル",0.2986],["アップル インコーポレイテッド",0.1792],…]}el.questionThis returnes candidate entity for any question from Wikipedia titles.>>>linker.question('日本の総理大臣は？')[('菅内閣',0.05791765857101555),('枢密院',0.05592481946602986),('党',0.05430194711042564),('総選挙',0.052795400668513175)]Setup$ pip install jel
$ python -m spacy download ja_core_news_mdTest$ python pytestNotesfaiss==1.5.3 from pip causes error _swigfaiss.To solve this, seethis issue.LICENSEApache 2.0 License.CITATION@INPROCEEDINGS{manabe2019chive,
    author    = {真鍋陽俊, 岡照晃, 海川祥毅, 髙岡一馬, 内田佳孝, 浅原正幸},
    title     = {複数粒度の分割結果に基づく日本語単語分散表現},
    booktitle = "言語処理学会第25回年次大会(NLP2019)",
    year      = "2019",
    pages     = "NLP2019-P8-5",
    publisher = "言語処理学会",
}
Package: jelapi
jelapiA Jelastic API Python libraryInstallationpip3 install jelapiUsageimport jelapi

jelapi.api_url = "https://app.jpc.infomaniak.com/1.0/"
jelapi.api_token = "your-long-token"

jelenvs = jelapi.JelasticEnvironment.list()

jelenv = next(
    env
    for env in jelenvs.values()
    if all(eg in env.envGroups for eg in ["clients/envgroup", "prod"])
)

for ng in jelenv.nodeGroups.values():
    for n in ng.nodes:
        n.fixedCloudlets = 2

cpnodegroup = jelenv.nodeGroups("cp"]
cpnodegroup.nodes[0].fixedCloudlets = 2
cpnodegroup.envVars["AN_ENV_VARIABLE"] = "Content"

sqlnode = jelenv.nodeGroups["sqldb"].nodes[0]
sqlnode.flexibleCloudlets = max(sqlnode.flexibleCloudlets - 2, 0)
sqlnode.allowFlexibleCloudletsReduction = True

jelenv.save()
Package: jelastic-client
jelastic-clientA Jelastic API python library.Installationpip3installjelastic-clientUsageAt the root of this repository, you can runimportjelastic_clientapi_url="https://[hoster-api-host]/1.0/"api_token="your-private-access-token"factory=jelastic_client.JelasticClientFactory(api_url,api_token)jps_client=factory.create_jps_client()env_name="my-jelastic-client-test"jps_client.install_from_file("./test/data/valid_manifest.jps",env_name)control_client=factory.create_control_client()env_info=control_client.get_env_info(env_name)assertenv_info.is_running()isTrue
Package: jelinekstat
jelinekstatApplication software inPython 3to apply the statistical proposal ofJelínek (1978)for a sample of several
second-order tensors in order to obtain the mean tensor of the sample, its
principal values with their confidence intervals, and the principal directions
with their confidence regions.This application program is able to plot the summary of the statistical model
described above in a stereographic projection for a better understanding of the
outcomes. Provided that, the next picture represents the aim ofjelinekstat.FeaturesDocumentationPyPIGitHubOpen source and free software:BSD-2-Clause.RequirementsThe code was written in Python 3. The packagesnumpy,scipy,matplotlibandmplstereonetare
required for usingjelinekstat. All of them are
downloadable from the PyPI repository by opening a terminal and typing the
following code lines:pip install numpy
pip install scipy
pip install matplotlib
pip install mplstereonetInstallationTo installjelinekstatopen a terminal and type:pip install jelinekstatExampleTo produce the plot shown above execute the following scriptfrom jelinekstat.jelinekstat import tensorStat

# Input data
sample = [[1.02327, 1.02946, 0.94727, -0.01495, -0.03599, -0.05574],
          [1.02315, 1.01803, 0.95882, -0.00924, -0.02058, -0.03151],
          [1.02801, 1.03572, 0.93627, -0.03029, -0.03491, -0.06088],
          [1.02775, 1.00633, 0.96591, -0.01635, -0.04148, -0.02006],
          [1.02143, 1.01775, 0.96082, -0.02798, -0.04727, -0.02384],
          [1.01823, 1.01203, 0.96975, -0.01126, -0.02833, -0.03649],
          [1.01486, 1.02067, 0.96446, -0.01046, -0.01913, -0.03864],
          [1.04596, 1.01133, 0.94271, -0.01660, -0.04711, -0.03636]]
confLevel = 0.95

# Performing the calculation all in one function.
jelinekStatsSummary, stereonetPlot = tensorStat(
        sample, confLevel=0.95, want2plot=True, plotName='tes', ext='pdf')
stereonetPlot.show()ReferencesJelínek, V (1978). Statistical processing of anisotropy of magnetic
susceptibility measured on group of specimens. Studia Geophysica et Geodaetica,
22 (1), pp. 50-62.History0.1.0 (2018-07-08)First release on PyPI.0.1.1 (2018-07-12)Documentation and the examples directory were completely adjusted.
Package: jellex
Jello ExplorerTUI to filter JSON and JSON Lines data with Python syntaxHere is a video ofjellexin action:https://youtu.be/-oR0yZ7JaO8Jello Explorer (jellex) is a Text User Interface program to interactively process JSON and JSON Lines at the console using Python syntax.jellexusesjelloon the back-end to run the queries.InstallJello Explorer can be installed viapip:pipinstalljellexUsagejellex FILEExamples:$ jellex file.jsonor with process substitution:$ jellex <(git log | jc --git-log)An Editor window displays on the left and a Viewer window displays on the right. A Schema view can be toggled on the right and a Status window displays on the bottom.The Editor window uses standard EMACS key bindings and allows you to type your Python syntax query._is the loaded JSON from the file presented as a python dict or list of dicts. You can use dot notation or traditional python bracket notation to access key names.As you modify your query, the Viewer and Schema windows will update with the latest results. If there are any errors in the query (syntax errors, etc.), they will be displayed in the Status window at the bottom.Tab completions are available for current context list indicies and key names.UseCTRL-\to toggle the focus between the Editor, Viewer, and Schema windows.UseCTRL-Sto toggle the Schema window.UseCTRL-QorCTRL-Cto exit.Note: Reserved key names that cannot be accessed using dot notation can be accessed via standard python dictionary notation. (e.g._.foo["get"]instead of_.foo.get)Here is an example after runningjellex twitterdata.jsonand modifying the query:When you exit (CTRL-QorCTRL-C), you will be presented with yourjellofilter:$ jellex twitterdata.json
Your query:

jello '_[0].user'

$
Package: jelloow-names
jelloow-namesPackage for maintaining centralized governance of data for company data extractionDeployment to PyPiAdd credential to~/.pypircfile.echo"[pypi]username = __token__password =$PIPY_TOKEN">>~/.pypircCreate and activate a virtual environment.python-mvenvvenv
python.exe-mpipinstall--upgradepip#linux / macsourcevenv/bin/activate#windowsvenv\Scripts\Activate.ps1

pipinstall-rrequirements.txtBuild the package and then upload it to PyPi.python-mbuild
python-mtwineupload--repositorypypidist/*
Package: jelly
Abstraction layer for running numerical hydrodynamics softwarejellyis supposed to abstract away the technical complexities of running
numerical moving-mesh hydrodynamics simulations usingArepo. It generates
input files and wraps the invocation of simulation runs.Code statusExamplesThere are a couple of examples in the examples/ directory in the form of simple
Python scripts. Note that you need to havejellyin your Python path to run
them.TestsWe usenosetestsfor unit testing.To run the tests install thenosepackage and callnosetestsfrom the base
directory.You can also install and usetoxto run the tests for different python versions.
Package: jellyash
JellyashJellyAeroplaneSharkHelperWrapper around jellyfin-apiclient-python to provide convenience functions:Create an unauthenticated client:create_client(app_name)Authenticate with username and password:auth_with_password(client, address, user, password)Authenticate with a written out token:auth_with_token(client)This reads from~/.jellyfin_credsvia JSONProvided scriptscreate_jellyfin_tokenwrites out a token.nextupdisplays all episodes Next Up.unwatcheddisplays all shows with unwatched episodes, and can query one show directly.average_durationdisplays the average episode length of a given show.
Package: jellybeans
AboutJellybeans aims to provide an easier development process when working with various data structures in python. Visualisations are provided for sorting algortihms.DocumentationHow to use this library?InstallationEnsure that you have python 3.7 and aboveRun the following command: pip install jellybeansImplementationsBelow are the data structures and algorithms that are covered in this library.Data StructuresAVL TreeBinary HeapGraphSingly Linked ListTailed Linked ListDoubly Linked ListQueueDequeStackUnion Find Disjoint Sets (UFDS)Sorting AlgorithmsBubble SortSelection SortInsertion SortMerge SortQuick SortGraphing AlgorithmsReachabilityNumber of componentsTopological sortStrongly Connected components (SCCs)Minimum spanning tree (Prims, Prims-Dense, Kruskal's)Single Source Shortest Path (Bellman Ford, One-pass BF, Dijkstra's)All Pairs Shortest Path (Floyd Warshall)AcknowledgmentI would also like to mention that majority of the knowledge used to develop this library came from the undertaking of National University of Singapore's course CS2040.ContributionsAnyone who wishes to value add to this library is welcomed to do so. Check out theContribution Guidefor further information on how you can contribute!