Saravanan666/pypi-org huggingface dataset:
Package: pulumi-wavefront
Wavefront Resource ProviderThe Wavefront Resource Provider lets you manage Wavefront resources.InstallingThis package is available in many languages in the standard packaging formats.Node.js (Java/TypeScript)To use from JavaScript or TypeScript in Node.js, install using eithernpm:$ npm install @pulumi/wavefrontoryarn:$ yarn add @pulumi/wavefrontPythonTo use from Python, install usingpip:$ pip install pulumi_wavefrontGoTo use from Go, usego getto grab the latest version of the library$ go get github.com/pulumi/pulumi-wavefront/sdk/v3.NETTo use from .NET, install usingdotnet add package:$ dotnet add package Pulumi.WavefrontConfigurationThe following configuration points are available:wavefront:token- (Required) This is a either a Users token or Service Account token with permissions necessary to
manage your Wavefront account. It can also be sourced from theWAVEFRONT_TOKENenvironment variable.wavefront:address- (Required) This is the URL of your cluster that you access Wavefront from without the leadinghttps://or trailing/(e.g.https://longboard.wavefront.com/becomeslongboard.wavefront.com). It can also be sourced
from theWAVEFRONT_ADDRESSenvironment variable.ReferenceFor further information, please visitthe Wavefront provider docsor for detailed reference documentation, please visitthe API docs.
Package: pulumi-wordle
Wordle Pulumi ProviderPlay Wordle while writing infrastructure as code. If you're working from an office, your boss won't
even know that you aren't deploying state of the art cloud managed NAT gateways!Every day the game resets, and the word list should be the same as the original Wordle's. But unlike
the real Wordle this one gives you unlimited retries, just like deploying real infrastructure.How to useYou will need Pulumi 3.24.1 or greater, check which version you have viapulumi versionorget
Pulumi for your platform.TypeScript/JavaScript via npm:@frielforreal/pulumi-wordlePython via Pypi:pulumi-wordleGo:github.com/aaronfriel/pulumi/sdk/go/wordleC#/.NET via Nuget:Pulumi.WordleExampleAn example of using the single resource defined in this example is inexamples/ts.import*aswordlefrom"@frielforreal/pulumi-wordle";constrandom=newwordle.Wordle("wordle",{word:"raise"});$ PATH=../../bin/:$PATH pulumi up --skip-preview
Please choose a stack, or create a new one: dev
Updating (dev)

View Live: https://app.pulumi.com/friel/ts/dev/updates/3

     Type                    Name        Status      Info
     pulumi:pulumi:Stack     simple-dev              2 warnings
 ~   └─ wordle:index:Wordle  wordle      updated     [diff: ~word]

Outputs:
  ~ output: [
        [0]: "🟫🟩🟩🟨🟫"
        [1]: "🟫🟩🟩🟩🟩"
      + [2]: "🟩🟩🟩🟩🟩"
    ]

Resources:
    ~ 1 updated
    1 unchanged

Duration: 2sBuild and Test# build and install the resource provider plugin$makeensurebuildinstall# test$cdexamples/simple
$yarnlink@frielforreal/pulumi-wordle
$yarninstall
$pulumistackinittest$PATH=../../bin:$PATHpulumiupReferencesOther resources for learning about the Pulumi resource model:Pulumi Kubernetes providerPulumi Terraform Remote State providerDynamic Providers
Package: pulumi-xenorchestra
Xenorchestra Resource ProviderThe xenorchestra Resource Provider lets you managexenorchestraresources.InstallingThis package is available for several languages/platforms:PythonTo use from Python, install usingpip:pipinstallpulumi_xenorchestraGoTo use from Go, usego getto grab the latest version of the library:gogetgithub.com/pulumi/pulumi-xenorchestra/sdk/go/....NETTo use from .NET, install usingdotnet add package:dotnetaddpackagePulumi.XenorchestraConfigurationThe following configuration points are available for thexenorchestraprovider:xenorchestra:url(environment:XOA_URL) - Hostname of the xoa routerxenorchestra:username(environment:XOA_USER) - User account for xoa apixenorchestra:password(environment:XOA_PASSWORD) - Password for xoa apixenorchestra:insecure(environment:XOA_INSECURE) - Whether SSL should be verified or not
Package: pulumi-yandex-unofficial
Unofficial Yandex Cloud Resource ProviderThis lets you manageYandex Cloudresources.InstallingThis package is available for several languages/platforms:Node.js (JavaScript/TypeScript) Not working yetTo use from JavaScript or TypeScript in Node.js, install using eithernpm:npminstall@regrau/pulumi_yandex_unofficialoryarn:yarnadd@regrau/pulumi_yandex_unofficialPythonTo use from Python, install usingpip:pipinstallpulumi_yandex_unofficialGoTo use from Go, usego getto grab the latest version of the library:gogetgithub.com/regrau/pulumi-yandex/sdk/go/....NET Not working yetTo use from .NET, install usingdotnet add package:dotnetaddpackagePulumi.FooConfigurationThe following configuration points are available for thefooprovider:foo:apiKey(environment:FOO_API_KEY) - the API key forfoofoo:region(environment:FOO_REGION) - the region in which to deploy resourcesReferenceFor detailed reference documentation, please visitthe Pulumi registry.
Package: puma-hep
puma - Plotting UMami ApiThe Python packagepumaprovides a plotting API for commonly used plots in flavour tagging.ROC curvesHistogram plotsVariable vs efficiencyInstallationpumacan be installed from PyPI or using the latest code from this repository.Install latest release from PyPIpipinstallpuma-hepThe installation from PyPI only allows to install tagged releases, meaning you can not
install the latest code from this repo using the above command.
If you just want to use a stable release ofpuma, this is the way to go.Install latest version from GitHubpipinstallhttps://github.com/umami-hep/puma/archive/main.tar.gzThis will install the latest version ofpuma, i.e. the current version
from themainbranch (no matter if it is a release/tagged commit).
If you plan on contributing topumaand/or want the latest version possible, this
is what you want.Docker imagesThe Docker images are built on GitHub and contain the latest version from themainbranch.The container registry with all available tags can be foundhere.Thepuma:latestimage is based onpython:3.8.15and is meant for users who want to use the latest version ofpuma. For each release, there is a corresponding tagged image.
You can start an interactive shell in a container with your current working directory
mounted into the container by using one of the commands provided below.On a machine with Docker installed:dockerrun-it--rm-v$PWD:/puma_container-w/puma_containergitlab-registry.cern.ch/atlas-flavor-tagging-tools/training-images/puma-images/puma:latestbashOn a machine/cluster with singularity installed:singularityshell-B$PWDdocker://gitlab-registry.cern.ch/atlas-flavor-tagging-tools/training-images/puma-images/puma:latestThe images are automatically updated via GitHub and pushed to thisrepository registry.
Package: pum-def-9-1
Список всех функций для ПУМа (pum_def_9_1)Что это?Это библиотека, содержащая в себе все (большинство) сложных или часто используемых алгоритмов для обучения в ПУМеP.SВ момент начала написания данной функции автор не находился в 1 группе (название выбрано из-за предыдущих проблем с правильной отправкой функции на pypi) и не имел 100 уровня программирования, но функции были оптимизированы достаточно, чтобы при правильном использовании все задачи из информатикса имели время работы меньше 1 секундыКак использовать?УстановкаШаг 1:Создаем новый проект или открываем уже существующий и удаляем из него весь кодШаг 2:Открываем папку проекта в консоли как показано на фото1 нажимаем правой кнпокой мыши на папку вашего проекта2 нажимаем Open In3 Выбираем опцию TerminalШаг 3:У вас снизу откроется консоль куда нужно написать данный текст и нажать Enter на клавиатуреpip install pum_def_9_1Шаг 4:В файле вашего проекта пишем этоfrom pum_def_9_1 import *Шаг 5:Запускаем кодОбновлениеКак описано выше открываем консоль и пешим туда данный кодpip install -U pum_def_9_1АвторСделано USEKом
Package: pumila
pumila is an image-to-sound converter. It transforms variations in color,
brightness, saturation and opacity into different sounds.Licensepumila is free software under the terms of the GNU Affero General Public
License version 3 (or any later version). This is version 0.1.0 of the program.ContactThe author of pumila is Niels Serup. Bug reports and suggestions should be sent
tons@metanohi.namefor the time being.InstallationWay #1Get the newest version of pumila athttp://metanohi.name/projects/pumila/or athttp://pypi.python.org/pypi/pumilaExtract pumila from the downloaded file, cd into it and run this in a
terminal:# python3 setup.py installExamples are available in theexamplesdirectory.Way #2Just run this:# pip-3.1 install pumilaNote that this will not make any examples available.DependenciesPython 3.1+For DEB-based distros (Trisquel, Debian, etc.): runapt-getinstall python3For RPM-based distros: runyum install python3For other distros: do something similar or get it athttp://python.org/download/PyGameUnder normal circumstances, you would do something like this:For DEB-based distros: runapt-getinstallpython-pygameFor RPM-based distros: runyum install pygameFor other distros: do something similar or get it athttp://pygame.org/download.shtmlHowever, the PyGame 1.9.1 release doesn’t work perfectly with Python 3, which
means you’ll have to compile PyGame from svn yourself, seehttp://pygame.org/wiki/CompilationCythonIt’s best to get the newest version fromhttp://cython.org/— pumila works
with v0.15, but earlier versions haven’t been tested very much.Optional, but recommended modulesprogressbarWebsite:http://code.google.com/p/python-progressbar/Installation: Runeasy_install3 progressbar.setproctitleWebsite:http://code.google.com/p/py-setproctitle/Installation: Runeasy_install3 setproctitle.DocumentationWhat affects what:bottom <-- frequency --> top
       bright <-- amplitude --> dark
no saturation <-- amplitude --> full saturation
  transparent <-- amplitude --> opaqueWave types:hue 0 to 90,        red to ······ chartreuse: sine to triangle
hue 90 to 180,      chartreuse to cyan:       triangle to square
hue 180 to 270,     cyan to ····· purple:     square to sawtooth
hue 270 to 360 (0), purple to ··· red:        sawtooth to sineUseAs a command-line toolRunpumilato use it. Runpumila--helpto see how to use it.As a moduleTo find out how to use it, run:$ pydoc3 pumilaAnd also:$ pydoc3 pumila.core
$ pydoc3 pumila.primitivesAnd so on.ExamplesThere are a few examples in theexamplesdirectory. All example images are
available under the Creative Commons Zero 1.0 license.Developmentpumila uses Git for code management. The newest (and sometimes unstable) code
is available at:$ git clone git://gitorious.org/pumila/pumila.gitThis documentCopyright (C) 2011 Niels SerupCopying and distribution of this file, with or without modification, are
permitted in any medium without royalty provided the copyright notice and this
notice are preserved.  This file is offered as-is, without any warranty.
Package: pumml
Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised positive and unlabeled (PU) machine learning to classify materials when data is incomplete and only examples of "positive" materials are available. As an example, pumml was used to predict the "synthesizability" of bulk and 2D materials from "positive" examples of synthesized materials.How to cite pummlIf you use pumml in your research, please cite the following work:Nathan C. Frey, Jin Wang, Gabriel Iván Vega Bellido, Babak Anasori, Yury Gogotsi, and Vivek B. Shenoy.Prediction of Synthesis of 2D   Metal Carbides and Nitrides (MXenes) and Their Precursors with Positive and Unlabeled Machine Learning.ACS Nano 2019 13 (3), 3031-3041.Please also consider citing the original works that establish the underlying methodology of pumml:Elkan, Charles, and Keith Noto.Learning classifiers from only positive and unlabeled data.Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2008.Mordelet, F.; Vert, J.-P.A Bagging SVM to Learn from Positive and Unlabeled Examples.Pattern Recognit. Lett. 2014, 37, 201−209.Getting pummlThe easiest way to get started with pumml is to create a virtual environment with python3.6 and thenpip install pummlYou can also create a virtual environment, clone this repo and dopython setup.py installin the root directory.Using pummlIn theexample_notebooksfolder you will find a Jupyter notebook calledbasic_example.ipynbthat shows the basic functionality of the package. The notebookmaterials_project_example.ipynbshows how to use pumml to predict the synthetic accessibility of theoretical materials in theMaterials Project database. Static images of Materials Project data are available onfigsharefor experimenting with pumml.About pummlMore information about using PU learning for materials synthesis prediction can be found in our publication:DOI: 10.1021/acsnano.8b08014https://pubs.acs.org/doi/abs/10.1021/acsnano.8b08014Helpful PU learning wrappers for scikit-learn can be found at: Alexandre Drouin,pu-learning, 2013,https://github.com/aldro61/pu-learningIn addition to our transductive bagging scheme with decision tree base classifiers, we recommend the robust ensemble of support vector machines (RESVM) method introduced by Claesen et al. RESVM is an alternative PU learning method that provides an excellent benchmark. It is implemented here: Marc Claesen,EnsembleSVM, 2014,https://github.com/claesenm/EnsembleSVMand a python wrapper is available here: Marc Claesen,resvm, 2014,https://github.com/claesenm/resvm.LicenseThis code is made available under the MIT License.
Package: pump-downloader
PumpConcurrent file downloader written in PythonDownloads file in parts using multiple concurrent threadsInstallationInstall the tool using pip$ pip install pump-downloaderUsageUse aspumpthrough shell$pump--help
Usage:pump[OPTIONS]URLMultithreadedDownloaderforconcurrentdownloads

Options:-s,--csizeINTEGERChunksizetouse,defaultstosize/#chunks-c,--ccountINTEGERNumberofChunkstodownloadconcurrently-o,--output-pathTEXTPathtowritethedownloadedoutputfile-q,--quietDisableverbose-f,--forceSuppressconfirmationforfilename-H,--headerTEXTPasseachrequestheader(asincurl)--helpShowthismessageandexit.Example$pump'https://storage.googleapis.com/kaggle-data-sets/705300/1231826/compressed/multinli_1.0_train.txt.zip'\-H'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:98.0) Gecko/20100101 Firefox/98.0'\-H'Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8'\-H'Accept-Language: en-US,en;q=0.5'-H'Accept-Encoding: gzip, deflate, br'\-H'Referer: https://www.kaggle.com/'-H'Alt-Used: storage.googleapis.com'\-H'Connection: keep-alive'-H'Upgrade-Insecure-Requests: 1'-H'Sec-Fetch-Dest: document'\-H'Sec-Fetch-Mode: navigate'-H'Sec-Fetch-Site: cross-site'-H'Sec-Fetch-User: ?1'\-H'Pragma: no-cache'-H'Cache-Control: no-cache'Filewillbesavedasmultinli_1.0_train.txt.zip
Doyouwanttochangethename?[y/N]:n
Fetching102.88MiBsin8chunks
Package: pumphandle
A (very) work in progress collection of tools for computational and mathematical
Epidemiology.ContentsUtilities:“NetDrop”: A simple function for downloading data files from web sourcesDependenciesrequestsVersions0.0.1 - Initial PyPi release version.
0.0.2 - Minor changes to NetDrop code.Version Notes0.0.1 - This release is intended primarily to make the developers life slightly
easier by packaging a commonly used function for repeated use. It’s not a
general-purpose release, and unless you really hate writing very short bits of
requests code, it’s likely not worth your trouble.0.0.2 - As with version 0.0.1, but with some slightly more sophisticated
handling of what to do if a data file already exists, avoid accidental
overwrites or wasted bandwidth from pulling down redundantly huge files. Also
cleaned up code with Flake8.Why ‘Pumphandle’?The repository name is a reference to John Snow(1) and the Broad Street Pump1: <http://en.wikipedia.org/wiki/John_Snow_(physician)>
Package: pumpkinpy
PumpkinPy 0.4.1An all-purpose Python moduleby Spatial InnovationsFeaturesAlgorithmsBubble SortApplicationsGraphical AnimationsRubiks Cube SolverColor UtilitiesColor ConversionsData ManagementImage UtilitiesImage TransformationsResizeRotateCropFlip Left RightFlip Top BottomImage FilteringGrayscaleGaussian BlurEnhance ColorEnhance ContrastEnhance BrightnessEnhance SharpnessBlend 2 imagesInvertChange Color CountDitherPixelateImage ConversionsTo PNGTo JPGMathematical FunctionsCheckPrimeCheck whether or not a number is primeFindFactorsFind all the factors of a numberFindTotativesFind all the totatives of a numberNumTotativesFind the number of totatives of a numberMapRangeMap a number from one range to anotherPygame UtilitiesBackgroundsBall BackgroundCreate a background with multiple colorful balls moving aroundElementsButton TextCreate a button that has text on top of it. It updates according to user actionsText InputCreate a text input field in which the user can type whatever they wantSliderCreate a slider which is updated by user action.Bar GraphCreate a bar graph which displays all the given informationColor PickerOffers a nice gui for the user to pick their colorCheckboxCreates a checkbox with the user can interact withDropdownA dropdown menu which allows you to select different itemsInterfaceCreate aBlenderlike interfaceSocket UtilitiesHelper functions and classes to help with networking in pythonLogicSwitch StatementsInstallationIf you have a version installed already, run this command in a terminal:pip install --upgrade pumpkinpyIf you are installing first time, run this command:pip install pumpkinpyChangelogVersion 0.4.1Bpy improvements.Version 0.3.9Pygame interfaceSwitcherVersion 0.3.8Socket networksColor utilsVersion 0.3.7Pygame Color Picker element.Version 0.3.6Merged StrawberryPybpy improvementsBar graph improvementsVersion 0.3.2Pygame Bar GraphVersion 0.3.1bpy improvementsVersion 0.3.0bpy.props kwargsVersion 0.2.9bpy improvementsVersion 0.2.8Image ditheringbpy improvementsVersion 0.2.7Socket utilities, including networks.pygame backgrounds and slidersImage utilitiesVersion 0.1.1Pygame text inputBubble sort algorithmFind factors functionCheck prime function
Package: pumpkin-py
PumpkinPy - Semantic similarity implemented in pythonAboutPumpkinPy uses IC ordered bitmaps for fast ranking of genes and diseases
(phenotypes are sorted by descending frequency and one-hot encoded).
This is useful for larger ontologies such as Upheno and large datasets such
as ranking all mouse genes given a set of input HPO terms.
This approach was first used in OWLTools and OwlSim-v3.The goal of this project was to build an implementation of the PhenoDigm algorithm in python.
There are also implementations for common measures for distance and similarity
(euclidean, cosine, Jin-Conrath, Resnik, jaccard)Disclaimer: This is a side project needs more documentation and testingGetting StartedRequires python 3.8+ and python3-dev to install pyroaringInstalling from pypipip install pumpkin_pyBuilding locallyTo build locally first install poetry -https://python-poetry.org/docs/#installationThen run make:makeUsageGet a list of implemented similarity measuresfrompumpkin_pyimportget_methodsget_methods()['jaccard','cosine','phenodigm','symmetric_phenodigm','resnik','symmetric_resnik','ic_cosine','sim_gic']Load closures and annotationsimportgzipfrompathlibimportPathfrompumpkin_pyimportbuild_ic_graph_from_closures,flat_to_annotations,searchclosures=Path('.')/'data'/'hpo'/'hp-closures.tsv.gz'annotations=Path('.')/'data'/'hpo'/'phenotype-annotations.tsv.gz'root="HP:0000118"withgzip.open(annotations,'rt')asannot_file:annot_map=flat_to_annotations(annot_file)withgzip.open(closures,'rt')asclosure_file:graph=build_ic_graph_from_closures(closure_file,root,annot_map)Search for the best matching disease given a phenotype profileimportpprintfrompumpkin_pyimportsearchprofile_a=("HP:0000403,HP:0000518,HP:0000565,HP:0000767,""HP:0000872,HP:0001257,HP:0001263,HP:0001290,""HP:0001629,HP:0002019,HP:0002072".split(','))search_results=search(profile_a,annot_map,graph,'phenodigm')pprint.pprint(search_results.results[0:5])[SimMatch(id='ORPHA:94125', rank=1, score=72.67599348696685),
 SimMatch(id='ORPHA:79137', rank=2, score=71.57368233248252),
 SimMatch(id='OMIM:619352', rank=3, score=70.98305459477629),
 SimMatch(id='OMIM:618624', rank=4, score=70.94596234638497),
 SimMatch(id='OMIM:617106', rank=5, score=70.83097366257857)]Example scripts for fetching Monarch annotations and closuresUses robot and sparql to generate closures and class labelsAnnotation data is fetched from the latest Monarch releaseRequires >Java 8cd data/monarch/ && makePhenoDigm Reference:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649640/Exomiser:https://github.com/exomiser/ExomiserOWLTools:https://github.com/owlcollab/owltoolsOWLSim-v3:https://github.com/monarch-initiative/owlsim-v3
Package: pumpkin-supmcu
pumpkin_supmcu PackageThepumpkin_supmcupackage has the following functionality:Discover all telemetry items on a module, and put into telemetry definitions.Parse any telemetry item on a module given a module telemetry definition.Provide a universal I2C interface to integrate multiple I2C Masters.Request telemetry from any SupMCU module via I2C interface.Write commands to SupMCU modules via I2C interface.The documentation for thepumpkin_supmcupackage can befound here.Telemetry Benchmark Utilityutils/benchmark.pycan be used to measure the response time of each telemetry item on the bus.First you must generate a bus definition usingpumqry:pumqry -t kubos -p 1 -e -d -f bus.json(example bus.json provided for reference).Then you can run a benchmark:python utils/benchmark.py -p /dev/ttyUSBX -f /path/to/save/to.json
Package: pumpkin-supmcu-i2cdriver
pumpkin-supmcu-i2cdriver PackageThepumpkin-supmcu-i2cdriverpackage has the following functionality:Leverages business logic found inpumpkin-supmcu.Please readpumpkin-supmcudocumentation for usage, this is the implementation package forI2C DriverInterfacespumpkin-supmcupackage with theI2C DriverThe documentation for thepumpkin-supmcu-i2cdriverpackage can befound here.
Package: pumpkin-supmcu-kubos
pumpkin-supmcu-kubos PackageThepumpkin-supmcu-kubospackage has the following functionality:Leverages business logic found inpumpkin-supmcu.Please readpumpkin-supmcudocumentation for usage, this is the implementation package forkubos-i2c-halInterfacespumpkin-supmcupackage with the KubOS I2C HAL library.The documentation for thepumpkin_supmcupackage can befound here.
Package: pumpkin-supmcu-smbus
pumpkin-supmcu-smbus PackageThepumpkin-supmcu-smbuspackage has the following functionality:Leverages business logic found inpumpkin-supmcu.Please readpumpkin-supmcudocumentation for usage, this is the implementation package forsmbus2Interfacespumpkin-supmcupackage with thesmbus2 packageThe documentation for thepumpkin-supmcu-smbuspackage can befound here.
Package: pump-offline-calibration-plugin
Pioreactor offline pump calibration pluginThis plugin creates a new workflow for calibrating pumps using offline measurements rather than interactive prompts.This will allow users to create a more flexible calibration using a set of their own measurements. Make sure to evaluate the quality of the calibration based on the fit produced.Note that the PWM frequency and duty cycles should be the same as those used to generate the measurements.This is a drop-in replacement for the standard pump calibration, and does not change the behavior of dosing after calibration.Run your calibrationType into your command line:pio run pump_offline_calibrationTo perform this calibration, first manually perform a series of dosings using the fixed time option, then measure the amount of water pumped. After running the above command, you will be prompted to enter the times and amounts.