Saravanan666/pypi-org huggingface dataset:
Package: kontrctl
Kontrctl - Kontr portal CLI clientkontrctl- Kontr Portal management CLI ToolSetupThere are multiple variants how to install and run thekontrctl.Install from pypi registryThe best way to install thekontrctlis using thepip.pipinstallkontrctlInstall from sourceFor development purposes clone the repository and install dependencies using the pipenvgitclonehttps://gitlab.fi.muni.cz/grp-kontr2/kontrctl
pipenvinstallUpdatekontr-api(optional)pipenvupdatekontr-api
pipenvshellRun thekontrctlkontrctl --helpDevelopment runRun the development versionpython-mkontrctl.cli--helpFirst run setupBefore using thekontrctlto manage the portal and submit, you need to set remotekontrctlremotesadddefaulthttps://kontr.fi.muni.cz
kontrctlremotesselectdefault
kontrctllogin# Provide username and passwordRemotesRemote sets location and default params for the kontr instancekontrctlremotes--help
kontrctlremoteslist
kontrctlremotesadd<name><url>
kontrctlremotesrm<name>
kontrctlremotesread<name>
kontrctlremotesselect<name>
kontrctlremotesdeselect<name># Not implementedAuthAuthentication commandsLoginkontrctllogin
kontrctl--helpLogoutkontrctllogoutkontrctllogout--helpUsersUsers resources managementkontrctlusers--help
kontrctluserslist
kontrctlusersread<name>
kontrctlusersdelete<name>Courses:Courses resources managementkontrctlcourses--help
kontrctlcourseslist
kontrctlcoursesread<name>
kontrctlcoursesdelete<name>
kontrctlcoursesselect<name>
kontrctlcoursesdeselectComponents:Components resources managementkontrctlcomponents--help
kontrctlcomponentslist
kontrctlcomponentsread<name>
kontrctlcomponentsdelete<name>Projects:Projects resources managementkontrctlprojects--help
kontrctlprojectslist
kontrctlprojectsread<name>
kontrctlprojectsdelete<name>
kontrctlprojectsselect<name>
kontrctlprojectsdeselect# if selected course not provided:kontrctlprojectslist-c<course_name>SubmitCreate new submissionkontrctlsubmit--help
kontrctlsubmit-c<course>-p<project>-tgit-u<repo_url>-D<subdir># Example:kontrctlsubmit-cTestCourse1-pHW01-tgit-u"https://github.com/pestanko/example-repo"-D<subdir>ContributingTake a look atGeneral Contribution Guide.
Package: kontur-unp1c
unp1cСбор/разбор бинарей 1С:ПредприятиеУстановка# из репозиторияpipinstall.# из pypi.kontur.hostpipinstall--index-urlhttps://pypi.kontur.hostkontur-unp1cИспользованиеРабота с бинарными файламиfromkontur.unp1cimportbuild_file,dump_fileform_bin="src/Form.bin"form_src="src"# переход с v8unpackdump_file(v8file=form_bin,src_dir=form_src)# os.system(f"v8unpack -U {form_bin} {form_src}")build_file(v8file=form_bin,src_dir=form_src)# os.system(f"v8unpack -PA {form_src} {form_bin}")Работа с каталогами исходниковfromkontur.unp1cimportpack_forms,unpack_formsunpack_forms("src")pack_forms("src")
Package: koo
📦 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: koo-api
Work in progress!Koo APIThis is a basic api wrapper forKoo.UseInstallpipinstallkoo-apiUsagefromkoo_apiimportKooAccount,KooAccountNotFoundExceptionuser=KooAccount("felipeneto")forpostinuser.get_koos():print(post.content)DevelopmentThis is the standard workflow:Clone this repo.
Before anything:pipinstallpoetry
poetryinstallCreate a new branch, add your changes and tests.gitcheckoutmy-new-featureRun linting check and tests with:poetry run testsIf it is all ok format it with:poetry run formatCommit and open a pull request and request a review from one of the autors.TODO[] ??[] ??[] ??[] ??
Package: koodaamo.pas.browseronlyredirect
IntroductionThis is a modified Cookie Auth Plugin that only redirects if the UA is a browser.
The main envisioned use case is for scenarios that require an API to be built for
an existing client (that we have no control over) that does not expect redirects
to login form upon authentication.The detection is done by comparing the request User-Agent header against some of
the most common browser user agent strings, ie. “Mozilla”, “Webkit”, “Opera”, and
for the terminal users out there, “Lynx”.Basic installation and use:Go to Zope root acl_users folder via ZMIAdd a “Browser-only-redirecting Cookie Auth Helper”.Go to “plugins” folderClick “Challenge Plugins” to get to the plugin registryDisable “credentials_cookie_auth” pluginAdd in its place the plugin (helper) you added in 2.Make sure the plugin/helper you added is at the top so it’s given a chance to
run first.Then, try authenticating with wrong credentials. You should get a proper 401
Unauthorized response rather than the usual 302 Moved Temporarily (typically causing
redirect).Change historyChangelog1.0dev (unreleased)Initial releaseDownload
Package: koodous
Koodous SDKThis is the Python SDK developed by our team to use Koodous easily.Koodous works with many different hashing functions, but we prefer sha256 to manage all samples in the better way.Free software: Apache Software License 2.0Sdk documentation:SdkDocumentationKoodous documentation:KoodousDocumentationFeaturesInteract with the Koodous API easily.Download individual samples (requires api key).Download the samples, analyses and detected feed (requires api key with privileges).CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History2.0.0 (2021-06-07)New Koodous SDK released.
Package: koodousfinder
KoodousFinderA simple tool to allows users to search for and analyze android apps for potential security threats and vulnerabilitiesAccount and API KeyCreate a Koodous account and get your api keyhttps://koodous.com/settings/developersInstall$ pip install koodousfinderArgumentsParamdescription-h, --help'Show this help message and exit'--package-name"General search for APKs"`--app-nameName of the app to search forExampleskoodous.py --package-name "app: Brata AND package: com.brata"koodous.py --package-name "package: com.google.android.videos AND trusted: true"koodous.py --package-name "com.metasploit"python3 koodous.py --app-name "WhatsApp MOD"Modifiers for advanced searchAttributeModifierDescriptionHashhash:Performs the search depending on the automatically inserted hash. The admitted hashes are sha1, sha256 and md5.App nameapp:Searches for the specified app name. If it is a compound name, it can be searched enclosed in quotes, for example: app: "Whatsapp premium".Package name.package:Searches the package name to see if it contains the indicated string, for example: package: com.whatsapp.Name of the developer or company.developer:Searches whether the company or developer field includes the indicated string, for example: developer: "WhatsApp Inc.".Certificatecertificate:Searches the apps by their certificate. For example: cert: 60BBF1896747E313B240EE2A54679BB0CE4A5023 or certificate: 38A0F7D505FE18FEC64FBF343ECAAAF310DBD799.More information:https://docs.koodous.com/apks.html.TODODiscord IntegrationRulesets viewDevelopmentTaskipy usage:To run the unit tests:tasktestTo run the pylint tests:tasklintTo run the isort to sort the imports:tasksort
Package: koodu
Koodu, simple code generator engine written in python.KooduKoodu is a simple universal code generator. It allows users to generate codes with the same structure in several projects to save time. Koodu allows users to follow the DRY(Don't Repeat Youself) philosophy, i.e. instead of writing the same code several times, write a template once and use it on several models to generate different code efficiently.Installationfrom code sourceClone this repository and run:$python-mpipinstall.from the index$pipinstallkooduUsage as CLIList the available templates$koodulisttemplatesList the available models$koodulistmodelsgenerate code using a template and et model$koodugenerate-tfastapi-mblog-o./examples/blogThe path to template can be replace directly with build in template such asfastapiorflaskUsage as python libraryKoodu can also be used as python library as follows:importjsonfrompathlibimportPathfromkoodu.generatorimportGeneratorwithopen(Path("./koodu/models/blog.json"),"r",encoding="utf-8")asfp:model=json.loads(fp.read())template_path=Path("./koodu/templates/fastapi")output_path=Path("./examples/blog")generator=Generator(model=model,template_folder=template_path,output=Path(args.output))forfileingenerator.render():file.write()
Package: koogle
koogle - Google Search Results ScraperA simple utility to get Google Search Results, including Ad results that appear at top of page or bottom of page, as lists of dictionaries.Since it based on the div tags classes used by Google, it is fragile and will be need to be updated as and when
Google makes changes to the results page html.Be respectful to Gods of Google and include delay of 30-180 seconds between consequent calls to this utility.
Package: kookaburra
![Python package](https://github.com/GregoryAshton/kookaburra/workflows/Python%20package/badge.svg)
[![Documentation Status](https://readthedocs.org/projects/kookaburra/badge/?version=latest)](https://kookaburra.readthedocs.io/en/latest/?badge=latest)# kookaburraProject directory for kookaburra, a code to perform shapelet fitting for pulsars. Please see [the documentation](https://kookaburra.readthedocs.io/en/latest/index.html) for help installing and using kookaburra.
Package: kook-live-bot
Kook_Live_BotThis is a BiliBili live push bot for Kook .FeaturesSubscribe BiliBili live roomUnsubscribe BiliBili live roomAuto push live stream message to chat channel.Show all Subscribed live roomsGetting StartedYou should copy.env.exampleto.envand fill in the required values.$docker-composeup-dPrerequisitespoetryis required to install dependencies.$pipinstallpoetryAnd then install dependencies.$poetryinstallTODOSupport multiple chat channels and multiple server or guildAdd more live room infoSupport more live platform such asDouyuHuyaBilibiliYoutube`Twitch``Add AI features to this bot, Maybe.Thankskhl.pyHarukubotLicenseThis project is licensed under the MIT License - see theLICENSEfile for details.
Package: koolsla
koolslaLinuxWindowsDescriptionkoolsla (Coleslaw) is a recommendation tool based on Machine Learning with contents.
Developed with the power oftf-idfandCosine Similarity.The user gives a natural number that corresponds to the ID of a unique dish name. Throughtf-idfthe plot summaries of 424508 different dishes that reside in the dataset, are analyzed and vectorized.
Set of dishes (number set by user) is chosen as recommendations based on theircosine similaritywith the vectorized input.koolsla is mainly an educational project.InstallationYou can install koolsla using:$ pip install koolslaGetting the codeThe code is hosted athttps://github.com/abdullahselek/koolslaCheck out the latest development version anonymously with:$ git clone git://github.com/abdullahselek/koolsla.git
$ cd koolslaTo install test dependencies, run either:$ pip install -Ur requirements.testing.txtRunning TestsThe test suite can be run against a single Python version which requirespip install pytestand optionallypip installpytest-cov(these are included if you have installed dependencies fromrequirements.testing.txt)To run the unit tests with a single Python version:$ py.test -vTo also run code coverage:$ py.test --cov=koolslaTo run the unit tests against a set of Python versions:$ toxSample UsageImport recommender:from koolsla import recommenderGetting recommendations with dish id and recommendation count:// Returns dictionary of tuples [(dish_id_1, similarity_ratio1), (dish_id_2, similarity_ratio2), (dish_id_3, similarity_ratio3)]
recommendatons = recommender.recommend(82, 3)CLIAfter getting the code fromhttps://github.com/abdullahselek/koolsla, run command:$ pip install -r requirements.txtAnd it’s ready to use, there is detailed help menu which you can follow. One of the most used function for recommendation:$ python koolsla.py -d 25 --recommend 3For the help menu:$ python koolsla.py --help
Package: koolstof
koolstofMiscellaneous tools for marine carbonate chemistry and other such things.Highly unstable and unreliably documented.Install:pip install koolstofImport:importkoolstofasksFind current version:ks.hello()Citation:Humphreys, M. P. and Delaigue, L. (2023).  Miscellaneous Python tools for marine carbonate chemistry: koolstof.Zenodo.doi:10.5281/zenodo.3999292.
Package: kooora
kooora-unofficial-apiKoooraunofficial Python API.Installationpip3 install koooraCurrent featuresSearch by keyword (leagues, teams, players)Fetch matches byDateLeagueTeamFetch match infoGeneral informationStats (played matches)Fetch team infoFetch league infoLeague tableScorersExamplesBelow are some basic examples to use the library:Initialize Kooora classfromkooora.koooraimport*api=Kooora()Get the names of the leagues being played todaytoday_matches=api.get_today_matches()# today_matches is a dict which keys are league ID numbers, let's extract the IDs*today_matches_ids,=today_matchesforidintoday_matches_ids[]:print(League.from_id(id).get_title())Get matches being played today in a given league (example with spanish liga)formatchintoday_matches[22393]:print(match)Fetch stats for a given matchyesterday=api.get_yesterday_matches()[22495].get_stats()Initialize a League variable by ID and fetch its ranking and top scorersliga=League.from_id(22393)# you can also use api.searchliga_table=liga.get_table()top_scorers=liga.get_top_scorers()Find a team by its name and fetch its next matcheibar=Nonefortinliga.get_teams():ift.get_name()=="إيبار":eibar=tbreakContributingThe project is still at a very early stage.
Seehttps://github.com/marrakchino/kooora-unofficial-api/projects/1for a list
of ideas or kindly open an issue to raise a bug or submit a feature request.IdeaI've been fiddling with Kooora's website for years trying to understand
the multiple aspects of the data they provide and had the idea of creating a public
API of it knocking around my head since at least 2017. The initial version of this
unofficial API was made possible by reverse-engineering Kooora's official Android
application both by reversing the code and by sniffing the network requests.License: MIT
Package: kooplearn
Learn Koopman and Transfer operators for Dynamical Systems and Stochastic Processeskooplearnis a Python library designed for learning Koopman or Transfer operators associated with dynamical systems. Given anonlineardynamical system $x_{t + 1} = S(x_{t})$, theKoopman operatorprovides aglobal linearizationof the dynamics by mapping it to a suitable space of observables $\mathcal{F}$. An observable is any (scalar) function of the state. The Koopman operator $\mathsf{K}$ is defined as $$(\mathsf{K}f)(x_{t}) = f(x_{t + 1}) := f \circ S (x_t) \qquad f \in \mathcal{F}.$$
Similarly, given a stochastic process $X:= { X_{s} \colon s \in \mathbb{N}}$, its *Transfer operatorreturns the expected value of any observable forward in time. The Transfer operator $\mathsf{T}$ is defined as $$(\mathsf{T}f)(x) := \mathbb{E}\left[f(X_{t + 1}) \mid X_{t} = x \right] \qquad f \in \mathcal{F}.$$kooplearnprovides a suite of algorithms for model training and analysis, enabling users to perform forecasting, spectral decomposition, and modal decomposition based on the learned operator.Please note thatkooplearnis currently under active development, and while we are continuously adding new features and improvements, some parts of the library might still be a work in progress.FeaturesImplement different algorithms to learn Koopman or transfer operators for dynamical systems.Perform forecasting using the learned operators.Conduct spectral decomposition of the learned operator.Perform modal decomposition for further analysis.InstallationTo install the core version ofkooplearn, without optional dependencies, runpipinstallkooplearnTo install the full version ofkooplearn, including Neural-Network models, and the dahsboard, runpipinstall"kooplearn[full]"To install the development version ofkooplearn, runpipinstall--upgradegit+https://github.com/Machine-Learning-Dynamical-Systems/kooplearn.gitContributingWe welcome contributions from the community! If you're interested in contributing tokooplearn, please follow these steps:Fork the repository on GitHub.Clone your forked repository to your local machine.Create a new branch for your feature or bug fix:git checkout -b feature/your-feature-nameorgit checkout -b bugfix/issue-number.Make your changes and commit them with descriptive commit messages.Push your changes to your forked repository.Create a pull request from your branch to themainbranch of the original repository.Provide a clear title and description for your pull request, including any relevant information about the changes you've made.We appreciate your contributions and will review your pull request as soon as possible. Thank you for helping improvekooplearn!LicenseThis project is licensed under theMIT License.We hope you findkooplearnuseful for your dynamical systems analysis. If you encounter any issues or have suggestions for improvements, please don't hesitate toraise an issue. Happy coding!
Package: koopmans
For performing Koopmans spectral functional calculations withQuantum ESPRESSO.InstallationThis python packagekoopmansonly contains a subset of the code that you will require to run Koopmans functional calculations. To install everything, download the full source code fromgithub <https://github.com/epfl-theos/koopmans>and follow the installation instructions.RunningCalculations are run with the commandkoopmans<seed>.jsonwhere <seed>.json is thekoopmansinput file. For more details, refer to theonline documentation.ContactWritten and maintained by Edward Linscott, Riccardo De Gennaro, and Nicola Colonna (2020-)For help and feedback emailedward.linscott@gmail.com
Package: kooPy
KooPy: Koo for Python!KooPy is a Python library forKooApp.This is a very basic version with only the most basic functions.InstallationUse the package managerpipto install KooPy.pipinstallkooPy
pipinstallkooPy--upgradeUsagefromkooPyimportKoo# Initializeku=Koo()# Get User Profileprofile=ku.getUserProfile('virat.kohli',format='dict',method='filter')# Get User Koosuser_koos=ku.getUserKoos('virat.kohli',format='dict',method='filter',limit=10)# Get Trending Koostrending=ku.getTrendingKoos(format='dict',method='filter',limit=5)ContributingPull requests are welcome. For major changes, you can also open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseMIT
Package: koordinaatit
KoordinaatitExperimental round trip conversion API for lofty coordinates implemented in python.License: MIT|Country of origin: Switzerland|Export control classification number(ECCN): EAR99Third party dependencies are documented in the folderthird-party.DocumentationUser and developerdocumentation of koordinaatit.Bug TrackerAny feature requests or bug reports shall go to thetodos of koordinaatit.Primary Source repositoryThe main source ofkoordinaatitis on a mountain in central Switzerland.
We use distributed version control (git).
There is no central hub.
Every clone can become a new source for the benefit of all.
The preferred public clones ofkoordinaatitare:on codeberg- a democratic community-driven, non-profit software development platform operated by Codeberg e.V.at sourcehut- a collection of tools useful for software development.ContributionsPlease do not submit "pull requests" (I found no way to disable that "feature" on GitHub).
If you like to share small changes under the repositories license please kindly do so by sending a patchset.
You can either send such a patchset per email usinggit send-emailor
if you are a sourcehut user by selecting "Prepare a patchset" on the summary page of your fork atsourcehut.StatusExperimental.Note: The default branch isdefault.
Package: koordinates
Koordinates Python API ClientA BSD-licensed Python client library for a number ofKoordinatesweb APIs.The library provides easy access to Koordinates web services, particularly thePublisher Admin APIs.InstallationTo install the latest stable release of the library, simply:pip install -U koordinatesThe library is compatible with Python 3.4+.DocumentationDocumentation for the Python libraryDocumentation on the APIs and available actionsSupport & ContributionsPlease report bugs asGithub issues. For general technical support for the APIs and libraries, please contact us viasupport.koordinates.com.We welcome contributions as pull requests - please open a new issue to start a discussion around a feature idea or bug. See theContributing notesfor more details.Code formattingWe useBlackto ensure consistent code formatting. We recommend integrating black with your editor:Sublime Text: installsublackvia Package ControlVSCodeinstructionsWe use the default settings.One easy solution is to installpre-commit, runpre-commit install --install-hooksand it'll automatically validate your changes code as a git pre-commit hook.
Package: koozie
kooziekoozieis a light-weight wrapper aroundpintfor unit conversions. The intent is to provide much of the functionality without worrying about the setup. It uses quantities internally, but its functions only return floats. This approach reflects the opinion that all calculations should be performed in Standard base SI units, and any conversions can happen via pre- or post-processing for usability. This minimizes additional operations in performance critical code.kooziealso defines a few convenient aliases for different units. See thesource codefor details. A list of other available units is defined inpint's default units definition file.There are four public functions inkoozie:fr_u(value, from_units): Convert a value (or an iterable container of values) from given units to base SI unitsto_u(value, to_units): Convert a value (or an iterable container of values) from base SI units to given unitsconvert(value, from_units, to_units): Convert a value (or an iterable container of values) from any units to another units of the same dimensionalityget_dimensionality(units): Get a dictionary-like representation of the dimensionality of units. This is useful for checking if two quantities can be converted to common units.Example usage can be found in thetest file.kooziealso provides a command line utility for unit conversions:Usage: koozie [OPTIONS] VALUE FROM_UNITS [TO_UNITS]

  koozie: Convert VALUE from FROM_UNITS to TO_UNITS.

  If TO_UNITS is not specified, VALUE will be converted from FROM_UNITS into
  base SI units.

Options:
  -v, --version    Show the version and exit.
  -l, --list TEXT  Print a list of available units by dimension (e.g.,
                   "power"). Default: list all units.
  -h, --help       Show this message and exit.Example usage:$ koozie 1 inch meter
> 0.0254 m

$ koozie 0 degC degF
> 31.999999999999936 °F

$ koozie 0 degC
> 273.15 K

$ koozie -l flow
> [length] ** 3 / [time] ([volumetric_flow_rate])
  -----------------------------------------------
    - cubic_feet_per_minute (cfm)
    - gallons_per_minute (gpm)