Saravanan666/pypi-org huggingface dataset:
Package: ekans
ekans- A simple utility to check Conda environments integrityekansis an simple set of scripts able to perform different checks on
Anaconda environments. This script is mainly thought as an easy way to
substitute the notion of development dependencies, which is lacking in Conda
environments.Development dependencies are packages that are used during development and that
must strictly correlate with the Python version of the project. Some other
package managers (like Poetry) are able to define these dependencies to be
installed in regular environments but excluded from builds or using flags. This
is not possible in Conda: all packages in the declared environment are treated
equally, which implies this unwanted dependencies being bundled in production
as well. On the other hand, fighting against it makes the environment prone to
be non-consistent between production and development.One way to solve this situation is having two different environments:env/prod.ymlandenv/dev.yml.ekansis able to check thatall versions
are fixed and that production is a strict subset of development. This results
in the desired scenario: correctly excluding the unwanted dependencies while
ensuring that both environments have the same real dependencies to test
against.InstallIt is possible to install the package from PyPI usingpip:pipinstall--userekansUsageTo check if an environment can be reproduced correctly, use thefixedin the
CLI tool. Not passing-fwill cause the command to interactively prompt the
user to enter the path to the file.ekansfixed[-fpath/to/environment.yml]If you want to check a full setup (env/prod.ymlandenv/dev.ymland their
relation) you can use the commandverify, as seen in this example:ekansverify[-dpath/to/dev.yml][-ppath/to/prod.yml]If you are runningekansfrom the root of your project and your names match
the ones described in thisREADME, you can omit passing any arguments. There
are also--helpflags available for the commands described above.
Package: ekaros
EkarosA Python Library for Generative AI ArtDocumentation:https://ekaros.entelecheia.aiGitHub:https://github.com/entelecheia/ekarosPyPI:https://pypi.org/project/ekarosEkaros is a creative and versatile Python library designed for crafting generative AI art, fostering the intersection of artificial intelligence and artistic expression. The name Ekaros is inspired by the Greek word Ἴκαρος (Icarus), symbolizing the limitless possibilities and aspirations in the realm of AI-driven creativity.ChangelogSee theCHANGELOGfor more information.ContributingContributions are welcome! Please see thecontributing guidelinesfor more information.LicenseThis project is released under theMIT License.
Package: ekata-gateway-processor-helper
Ekata Gateway Processor backend helper functionsCreate form idUse this function to create a form id from your backend, if successful it will returnform_idandcreated_on.fromekata_gateway_processor_helperimportcreate_payment_formfromekata_gateway_processor_helper.exceptionsimport(InvalidAPIKeyException,InvalidProjectException,NoEnabledCurrencyException,InvalidArgumentsException)try:form_id,created_on=create_payment_form(amount=int(Decimal(amount)*100)# Always provide in atomic amount of fiat currency,fiat_currency='USD',project_id='',api_key='')exceptInvalidProjectExceptionase:print(e.message)exceptInvalidAPIKeyExceptionase:print(e.message)exceptNoEnabledCurrencyExceptionase:print(e.message)exceptInvalidArgumentsExceptionase:print(e.arguments)Verify payment payloadUse this function to verify payment payload received after successful paymentfromekata_gateway_processor_helperimportverify_payloadifverify_payload(payload=''# payload received from frontend or webhook,signature_secret=''#payment signature secret):# Proceed with checkout, like send success message to frontend etc
Package: ekca-plugin-privacyidea
This module package implements an OTP plugin for the server component of
[EKCA](https://ekca.stroeder.com) for checking OTP values with
[privacyIDEA](https://www.privacyidea.org/) web service.Documentation:[privacyIDEA: Authentication endpoints](https://privacyidea.readthedocs.io/en/latest/modules/api/auth.html).Status:Notfunctional yet!
Package: eke.committees
This product,eke.committees, provides display and RDF ingest of committee
information into the EDRN Knowledge Environment (EKE).  EDRN uses the EKE to
make it easy to discover, share, search for, and retrieve all of EDRN’s
collective knowledge, including cancers and other diseases, biomarkers,
specimens, investigators, participants, studies, protocols, and-as in the case
of this product-committee information.Although intended for the EDRN public portal, it can be installed in anyPlonecompatible site.This software is developed by theEDRN Informatics CenteratJPL,
operated by the California Institute of Technology, forNCI.InstallationUseBuildoutwith the plone.recipe.zope2instance recipe.Addeke.committeesto the list of eggs to install, e.g.:[buildout]
...
eggs =
    ...
    eke.committeesRe-run buildout, e.g. with:% ./bin/buildoutYou can skip the ZCML slug if you are going to explicitly include the package
from another package’s configure.zcml file.ChangelogWhat follows is a history of changes from release to release.  For more
details about specific issue IDs listed below, consult the issue tracker athttps://oodt.jpl.nasa.gov/jira/browse/CA.1.0.13 — Plone 4.3.9 UpgradeCA-15921.0.12 - I Require More URLs!CA-1348: Summary source URLs should be marked as required1.0.11 — ProtectionCA-1349: Summary ingest should be robust in the face of failures1.0.10 — VisualsAdded summarizersCA-1338: Fix tests for eke.committees1.0.9 — I Had Some Chicken; Pass Me the FLOSSFirst official release as free/libre/open source software.1.0.8 — MOAR UPGRADES!Made compatible with Plone 4.3.Use z3c.autoinclude1.0.7 — More UpgradesMade compatible with Plone 4.2.41.0.6 — UpgradesMade compatible with Plone 4.1.5.CA-1001 - Put Group Spaces under Committees and ingest via RDF1.0.5 — Test SupportThis release includes:Depending on just Plone the framework instead of Plone the application.1.0.4 — Increases Resilience Rating by 30 for 60 minutesThis release boosts test resiliency.1.0.3 — Sitting DownThis release updates the chair and co-chair of collaborative groups as
committees are ingested from RDF.1.0.2 — Let’s Collaborate!Re-attaches members of committees of type “Collaborative Group” to any
name-matching “Collaborative Group” objects (from edrnsite.collaborations) in
the portal.  You should re-ingest committees to do this re-attachment
whenever you re-ingest sites (because the site ingest destroys People
objects).Uses the modern plone.app.testing framework.Collaborative Groups are now hidden.1.0.1 — Upgrade CleanupThis release updates the GenericSetup profile to 4, and provides upgrade steps
to that profile.1.0.0 — Plone 4This release makes eke.committees compatible with Plone 4.0.0.0 — UnreleasedInitial release into beta.  Creation of this project was spurred on by these
issues:CA-591 - Broken links on Committees pagesCA-718 - Replace manually maintained committee information with RDF ingest
Package: eke.labcas
This package provides the display ofLabCASinformation in theEDRNportal.Notescurlhttp://biomarker.jpl.nasa.gov:8081/fmprod/rdf/dataset?type=ALL&baseUrl=http://labcas.jpl.nasa.gov/labcas/data/datasethttp://biomarker-public.jpl.nasa.gov/fmprod/rdf/dataset?type=ALL&baseUrl=http://labcas.jpl.nasa.gov/labcas/data/datasetInstallationUseBuildoutwith the plone.recipe.zope2instance recipe.  Addeke.labcasto
the list of eggs to install; or, includeeke.labcasas a dependency of
another egg.You don’t need to specify a “ZCML slug” since this package usesz3c.autoinclude.ChangelogWhat follows is a history of changes from release to release.  Where issue IDs
are listed below, you can find out more about them by visiting the issue
tracker athttps://oodt.jpl.nasa.gov/jira/browse/CA.0.0.3 — Plone 4.3.9 UpgradeCA-15920.0.2 — An Image Is Worth 1K WordsCA-1296 - Imaging libray missing0.0.1 — I Had Some Chicken; Pass Me the FLOSSFirst official release as free/libre/open source software.0.0.0 — UnreleasedThis release is not released. Neat, huh?
Package: eke.review
This component,eke.review, enables researchers, clinicians, and
scientists part of a collaborative group within the Early Detection
Research Network (EDRN) to perform quality analysis of the products of EDRN.
It works with the rest of the EDRN Knowledge Environment (EKE) on the EDRN
public portal to enable easy and rapid turnaround during review cycles.Although intended for the EDRN public portal, this product may be installed
into anyPloneportal.InstallationUseBuildoutwith the plone.recipe.zope2instance recipe.Addeke.reviewto the list of eggs to install, e.g.:[buildout]
...
eggs =
    ...
    eke.reviewRe-run buildout, e.g. with:% ./bin/buildoutYou can skip the ZCML slug if you are going to explicitly include the package
from another package’s configure.zcml file.ChangelogA retrospective of the various releases this component has had, what’s been
changed, what’s been fixed, and so forth, follows.1.0.5 — Plone 4.3.9 UpgradeCA-15921.0.4 — I Had Some Chicken; Pass Me the FLOSSFirst official release as free/libre/open source software.1.0.3 — UpgradesUses z3c.autoinclude to automatically include dependenciesCompatible with Plone 4.3.Remove unneeded release config.1.0.2 — Test SupportThis release includes:Depending on just Plone the framework instead of Plone the application.Updating to the plone.app.testing fixtures.Sadly it removes the ability to put URLFieldsetFolders into FieldsetFolders.
Hope that’s OK!1.0.1 - Upgrade CleanupThis release updates the GenericSetup profile to 4, provides upgrade steps to
that profile.  It also fixes an issue with unit tests in which the package
“eke.review” itself wasn’t being installed into the framework before
attempting the tests.1.0.0 - Plone 4This release of eke.review makes it compatible with Plone 4.Release 0.0.0Beta release. This release is destined to become theFCS.
Package: eki
æ˜“ ekiMyAnimeList tracker for local anime files
eki is a MyAnimeList tracker for your downloaded anime TV series and movies. Currently supports VLC Media Player for Windows only.Updatesv0.0.7Renames your anime files to properly formatted episode titles (format:[anime name] E[episode number] - [episode title])Installationpip install ekiHow to useTo start using it, open command prompt in the folder which has the name of the anime and contains the episodes. This can be done by simply changing the path in the file explorer to cmd.
Run it by typingekiin cmd and then follow along.FeaturesAutomatic anime detection based on folder name.Assigns all the files to their corresponding episodes.Detects when there's an episode change and prompts the user to update their list which can be done through the console only.Automatic updation on the basis of time elapsed. (Currently in progress. Have made the duration parser for every anime but haven't gotten close to implement it yet.)How to contributeYou can simply help contribute by opening an issue whenever you find a bug. Also let me know if it doesn't work for your folder structure as it's very different for everyone. I've tried my best to implement measures for all the anime I had but I can expect everyone to find a bug or two.You can also contribute by forking this repository and then opening a pull request.
Package: ekiNx
##EkiNetworkX  - Custom functions to compute networkX graph========================================================### INSTALLInstall with pip:pip install ekiNxExample of usage:>>> from ekiNx import core>>> core.proclamer()========================================================### This module provides complement functions for lib NetworkX_Function to  compute bipartite graph and project to one set of nodes_#### __FromDataFrame__ :* _INPUT:_* data is a pandas dataframe* u is the name of column  for node 'projected'* v is the name of column for node to project* w is the name of column for weight* alpha is a threshold to map or not a edge* _OUTPUT:_* compute numpy array  (dim 2 N)* U: are nodes projected* V: are node to project* E: edges with weight attributes if weight columns filled#### __mapBipartite__ :- create biGraph and map nodes/edges* _INPUT:_* U nodes 'projected'* V nodes to project* E: edges with weight attributes if weight columns filled* _OUTPUT:_* g: networkX biGraph#### __projectGraph__ :- create biGraph and map nodes/edges* _INPUT:_* U    biGraph a bigraph networkX object* V is the set on* weight_function  to compute edges weight ( for instance jaccard)* _OUTPUT:_* g: networkX object representing a undirected graph#### __graphFromPandasAdjancyMatrix__ :- map nodes and edges from adjancy matrix:* _INPUT:_* data is a pandas object representing an adjacency matrix* _OUTPUT:_* g: anetworkX object representing a undirected grapheach node contain is label with column label========================================================Ce code est sous licence WTFPL.
Package: ekit
ekit is a collection of small tools used by the Non-Gaussian Statistics Framework (NGSF).If you use this package in your research please cite Zuercher et al. 2020 (arXiv-2006.12506)
and Zuercher et al. 2021 (arXiv-2110.10135).SourceDocumentationIntroductionIt contains the following tools:paths:The paths module allows to pack meta data into paths and to retrieve it again from the paths.
It diffferentiates between named (passed via a directory) and unnamed parameters (passed via a list).
Note that your parameter names MUST NOT contain = or _ signs as these are used to parse the metadata from the path.context:The context module can be used to pass configuration parameters around.
You can specify which parameters are allowed and what data types they must have.
You can also specify default values for them.logger:The logger module allows to create convenient and nice looking logs for your python code.Getting StartedThe easiest and fastest way to learn about ekit is to have a look at the Tutorial section in the documentation.CreditsThis package was created by Dominik Zuercher (PhD student at ETH Zurich in Alexandre RefregiersComsology Research Group)The package is maintained by Dominik Zuercherdominik.zuercher@phys.ethz.ch.ContributingContributions are welcome, and they are greatly appreciated! Every
little bit helps, and credit will always be given.
Package: eklasescraper
E-klase scraperCan be used to access e-klase.lv programmaticallyExampleimport eklasescraper.eklase

eklase = eklasescraper.eklase.Scraper()

eklase.login("peterisi", "parole123")

# Fetch diary
diary = eklase.fetch_diary("2023-11-01")
    
# Fetch timetable
lesson_times_list = eklase.fetch_lesson_times()
Package: ekler
EklerTurkce kelimelerin sonuna, fonetik yapilarina gore:IyelikYonelmeBulunmaAyrılmaÇoğulVasıtaeklerini ekler.Kurulum & KullanimpipinstalleklerOrnek Kullanim:fromeklerimportekli,YONELME_EKI,IYELIK_EKI,BULUNMA_EKI,AYRILMA_EKI,VASITA_EKIisim='ali'ekli(isim,IYELIK_EKI)## ali'ninekli(isim,YONELME_EKI)## ali'yeisim="Ahmet"ekli(isim,IYELIK_EKI)## ahmet'inekli(isim,YONELME_EKI)## ahmet'eekli(isim,YONELME_EKI,False)# kesme isareti yok## ahmeteisim="Istanbul"ekli(isim,BULUNMA_EKI)## Istanbul'daekli(isim,AYRILMA_EKI)## Istanbul'danisim="Gaziantep"ekli(isim,BULUNMA_EKI)# sertlesme var. de -> te## Gaziantep'teekli(isim,AYRILMA_EKI)# sertlesme var. den -> ten## Gaziantep'tenisim="kitap"ekli(isim,COGUL_EKI)## kitaplarisim="kalem"ekli(isim,COGUL_EKI)## kalemlerisim="Leyla"ekli(isim,VASITA_EKI)## Leyla'ylaSınırlamalarKutuphaneyi gelistirme amacimsahis,cografi yer,kullanici adi (username)kelimelerinde kullanilmasidir. Bu tarz kelimelerde duzgun calismaktadir. (istisna ya da hata bulursaniz lutfen belirtin)Ancak; kurum, mekan gibi sonuna gelecek eklerin bir standardi olmayan yerlerde hatali sonuclar verecektir. Mesela;Ziraat Bankasikelimesine bulunma eki kullanmak istediginizdeZiraat Bankasi'ndayerineZiraat Bankasi'daseklinde sonuc verecektir.Ama meselaAkbankkelimesinde bu durum gecerli degil. Duzgun bir sekildeAkbank'taveAkbank'tanseklinde sonuc verecektir.Dedigim gibi sorunsuz calismasi icin basta bahsettigim durumlarda kullanabilirsiniz.Katkıda Bulunanlar@midorikocak
Package: eko
EKO is a Python module to solve the DGLAP equations in N-space in terms of Evolution Kernel Operators in x-space.InstallationEKO is available viaPyPI:pipinstallekoconda-forge:condainstallekoDevelopmentIf you want to install from source you can rungitclonegit@github.com:N3PDF/eko.gitcdeko
poetryinstallTo setuppoetry, and other tools, seeContribution
Guidelines.DocumentationThe documentation is available here:To build the documentation from source installgraphvizand run in addition to the installation commandspoedocsTests and benchmarksTo run unit test you can dopoetestsBenchmarks of specific part of the code, such as the strong coupling or msbar masses running, are available doingpoebenchThe complete list of benchmarks with external codes is available throughekomark:documentationCitation policyWhen using our code please citeour DOI:our paper:ContributingYour feedback is welcome! If you want to report a (possible) bug or want to ask for a new feature, please raise an issue:If you need help, for installation, usage, or anything related, feel free to open a new discussion in the"Support" sectionPlease follow ourCode of Conductand read theContribution Guidelines
Package: ekorpkit
ekorpkit 【iːkɔːkɪt】 :eKonomicResearchPython ToolkiteKorpkit provides a flexible interface for NLP and ML research pipelines such as extraction, transformation, tokenization, training, and visualization. Its powerful config composition is backed byHydra.Key featuresEasy ConfigurationYou can compose your configuration dynamically, enabling you to easily get the perfect configuration for each research.You can override everything from the command line, which makes experimentation fast, and removes the need to maintain multiple similar configuration files.With a help of theeKonfclass, it is also easy to compose configurations in a jupyter notebook environment.No BoilerplateeKorpkit lets you focus on the problem at hand instead of spending time on boilerplate code like command line flags, loading configuration files, logging etc.WorkflowsA workflow is a configurable automated process that will run one or more jobs.You can divide your research into several unit jobs (tasks), then combine those jobs into one workflow.You can have multiple workflows, each of which can perform a different set of tasks.Sharable and ReproducibleWith eKorpkit, you can easily share your datasets and models.Sharing configs along with datasets and models makes every research reproducible.You can share each unit jobs or an entire workflow.Pluggable ArchitectureeKorpkit has a pluggable architecture, enabling it to combine with your own implementation.TutorialsTutorials forekorpkitpackage can be found athttps://entelecheia.github.io/ekorpkit-book/InstallationInstall the latest version of ekorpkit:pipinstallekorpkitTo install all extra dependencies,pipinstallekorpkit[all]The eKorpkit CorpusThe eKorpkit Corpus is a large, diverse, bilingual (ko/en) language modelling dataset.Citation@software{lee_2022_6497226,
  author       ={Young Joon Lee},
  title        ={eKorpkit: eKonomic Research Python Toolkit},
  month        = apr,
  year         = 2022,
  publisher    ={Zenodo},
  doi          ={10.5281/zenodo.6497226},
  url          ={https://doi.org/10.5281/zenodo.6497226}}@software{lee_2022_ekorpkit,
  author       ={Young Joon Lee},
  title        ={eKorpkit: eKonomic Research Python Toolkit},
  month        = apr,
  year         = 2022,
  publisher    ={GitHub},
  url          ={https://github.com/entelecheia/ekorpkit}}LicenseeKorpkit is licensed under theMIT License. This license covers the eKorpkit package and all of its components.Each corpus adheres to its own license policy. Please check the license of the corpus before using it!
Package: eko-throttler
eko_throttlerAsync implementation of a rate-limited lock object for Python 3.11.xInfoAuthor:Drix HolwayVersion:0.2.0Revision Date:2023-07-18UsageThe Throttler class requires a request limitintvalue, and an intervaltimedeltavalue on initialisation. These values dictate how the rate limiting will occur when a lock is acquired.fromdatetimeimporttimedeltafromeko_throttlerimportThrottlerasyncdefmain():throttler=Throttler(10,timedelta(seconds=1),)asyncwiththrottler:# do somethingInstallationInstallation ofeko_throttlermay be done usingpip.pipinstalleko_throttlerLicenseLicensed under the[MIT](LICENSE)license.CreditsCopyright (c) 2023 EkoteqAuthor:Drix Holway
Package: ekp-sdk
The Python Earnkeeper SDKThis sdk is used to create frontend components like div, span, columns, rows, datatable and etc., for python modules.
Number of components will increase in the future.Developed byEarn Keeperteam (c)Developing LocallyInstallsetuptools:pip install setuptoolsBuild the package:python setup.py bdist_wheelCreate a symlink to the package in your local python repository:pip install -e .Use the package as needed in parent projects:from ekp_sdk import BaseContainer
from ekp_sdk.ui import ChartDeployingThis repository uses Github Actions Continuous Deployment to deploy to Pypi and Pypi test.Commit and push tostagingbranch to deploy to Pypi TEST.Commit and push tomainbranch to deploy to Pypi.â ï¸ Make sure to update package VERSION insetup.pybefore pushing. An error will occur if the version is already deployed