Saravanan666/pypi-org huggingface dataset:
Package: wogDev
TODO: need to updateGuessGame.py The purpose of guess game is to start a new game, cast a
random number between 1 to a variable called difficulty. The game will
get a number input from the…MemoryGame.py The purpose of memory game is to display an amount of
random numbers to the users for 0.7 seconds and then prompt them from
the user for the numbers that he remember. If he was right with all the
numbers the user will win otherwise he will lose.CurrencyRouletteGame.py This game will use t he free currency api to get
the current exchange rate from USD to ILS, will generate a new random
number between 1-100 a will ask the user what he thinks is the value of
the generated number from USD to ILS, depending on the userג€™s difficulty
his answer will be correct if the guessed value is between the interval
surrounding the correct answer
Package: wok-compiler
WokWok is a markup language, similar to Markdown but with a syntax based onPug. I'm aiming to make Wok into some kind of middle-ground between the power of HTML and the simplicity of Markdown. The idea came from wanting an open-source alternative toNotion, an app I find to be quite powerful.Wok currently compiles only to HTML. A tool to compile-and-serve Wok files is available as a separatewok-servepackage.Example usage:# Show helpwok-h# Compile a few fileswokmy_wok_file.wokmy_other_file.wok# Compile with globwok*.wok
Package: woke
Woke⚠️This package was deprecated in favor ofeth-wake⚠️Woke is a Python-based development and testing framework for Solidity.Features:Testing framework- a testing framework for Solidity smart contracts with Python-native equivalents of Solidity types and blazing fast execution.Fuzzer- a property-based fuzzer for Solidity smart contracts that allows testers to write their fuzz tests in Python.Vulnerability detectorsLSP serverDependenciesPython(version 3.7 or higher)Rosetta must be enabled on Apple Silicon (M1 & M2) Macs⚠️ Python 3.11 is experimentally supported.Installationviapippip3installwokeDocumentation & ContributionWoke documentation can be foundhere.There you can also find a section oncontributing.Discovered vulnerabilitiesVulnerabilitySeverityProjectMethodDiscovered byResourcesProfit & loss accounted twiceCriticalIPORFuzz testAckee BlockchainWoke testsConsole permanent denial of serviceHighBrahmaFuzz testAckee BlockchainReportSwap unwinding formula errorHighIPORFuzz testAckee BlockchainWoke testsSwap unwinding fee accounted twiceHighIPORFuzz testAckee BlockchainWoke testsIncorrect event dataHighSoladyIntegration testAckee BlockchainReport,Woke testsINTEREST_FROM_STRATEGY_BELOW_ZEROreverts DoSMediumIPORFuzz testAckee BlockchainWoke testsInaccurate hypothetical interest formulaMediumIPORFuzz testAckee BlockchainWoke testsSwap unwinding fee normalization errorMediumIPORFuzz testAckee BlockchainWoke testsMissing receive functionMediumAxelarFuzz testAckee BlockchainWoke testsFeaturesTesting frameworkSeeexamplesanddocumentationfor more information.Writing tests is as simple as:fromwoke.testingimport*frompytypes.contracts.CounterimportCounter@default_chain.connect()deftest_counter():default_chain.set_default_accounts(default_chain.accounts[0])counter=Counter.deploy()assertcounter.count()==0counter.increment()assertcounter.count()==1FuzzerFuzzer builds on top of the testing framework and allows efficient fuzz testing of Solidity smart contracts.fromwoke.testingimport*fromwoke.testing.fuzzingimport*frompytypes.contracts.CounterimportCounterclassCounterTest(FuzzTest):defpre_sequence(self)->None:self.counter=Counter.deploy()self.count=0@flow()defincrement(self)->None:self.counter.increment()self.count+=1@flow()defdecrement(self)->None:withmay_revert(Panic(PanicCodeEnum.UNDERFLOW_OVERFLOW))ase:self.counter.decrement()ife.valueisnotNone:assertself.count==0else:self.count-=1@invariant(period=10)defcount(self)->None:assertself.counter.count()==self.count@default_chain.connect()deftest_counter():default_chain.set_default_accounts(default_chain.accounts[0])CounterTest().run(sequences_count=30,flows_count=100)Vulnerability detectorsVulnerability detectors can be run using:wokedetectLSP serverWoke implements anLSPserver for Solidity. The only currently supported communication channel is TCP.Woke LSP server can be run using:wokelspOr with an optional --port argument (default 65432):wokelsp--port1234All LSP server features can be found in thedocumentation.LicenseThis project is licensed under theISC license.PartnersRockawayXCoinbase
Package: wokkel
What is this?Wokkel is a Python module for experimenting with future enhancements to Twisted
Words, that should eventually be included in the main Twisted main development
tree. Some of the code in Wokkel has already made that transition, but is still
included to be used with older Twisted releases.RequirementsPython 2.7, Python 3.4 or later, or pypy equivalentTwisted 15.5.0 or later for Python 2Twisted 16.4.0 or later for Python 3python-dateutilincremental 16.9.0 or laterResourcesWokkel has ahomeanddocumentation.Besides the general Twisted resources, help is available on theTwisted-Jabber mailing list.Copyright and WarrantyThe code in this distribution is Copyright (c) Ralph Meijer, unless
explicitly specified otherwise.Wokkel is made available under the MIT License. The includedLICENSEfile describes this in detail.ContributorsChristopher ZornJack MoffittMike MalonePablo MartínFabio FornoKandaurov OlegJérôme PoissonIlja BraudeAlexey BezhanMayank SinghAdrien CossaAuthorRalph Meijer
<mailto:ralphm@ik.nu>
<xmpp:ralphm@ik.nu>NameWokkel lends it name from a popular twisted savory snack in the Netherlands.
Package: wol-api
WakeOnLAN-APIA simple flask interface to send wake on LAN commands. Just send aPOSTto/wol/FF:FF:FF:FF:FF:FFwhereFF:FF:FF:FF:FF:FFis the desired MAC address of the device to be woken up.The official docker image is available atDocker Hub.Setuppip install wol_apiRunwol_api --port=8080
Package: wolensing
wolensingwolensingis a software package to simulate lensed gravitational waves. It computes the full wave optics amplification factor within the range of LIGO sensitivity and is compatible with arbitrary lens models.wolensingalso supports jax to accelerate the computation.InstallationFirst installlensingGW:git clone https://gitlab.com/gpagano/lensinggw.git
cd lensinggw
python setup.py installwolensingcan be installed with github or pip:pip install wolensingExamples NotebooksExamples notebooks showing the computation of wave optics amplification factor for different lens models and the plots of time delay contour are available athttps://github.com/manchunyeung/wolensing
Package: wolfbot
WolfBotOne Night Ultimate Werewolf: AI EditionBy Tyler Yep & Harry ShaIntroductionThis is an implementation of the popular board game One Night Ultimate Werewolf.To try it out, runpython main.pyin the terminal.
(You may need to runpip install -r requirements.txtif you do not have tqdm already installed.)Constants, along with their use cases, are listed in src/const.py. You can change:# of players# of center cardsWhich roles are usedBehavior of AI players on the Werewolf Team / Village TeamInteractive ModeTo play the game yourself as a character, use the-u/--userflag:python main.py --userTo replay a game, add the-r/--replayflag.python main.py --user -rTo examine verbose output of a game, use the-l/--log_levelflag.python main.py -l traceSimulating GamesTo simulate many runs of the game, use the-nflag.python main.py -n 100For additional information, please check out the GitHub Wiki!ContributingAll issues and pull requests are much appreciated!To start developing, first runpip install -r requirements-dev.txt.Next, run 'scripts/install-hooks'.To see test coverage scripts and other auto-formatting tools, check outscripts/run-tests.To run all tests, runpytest.To only run unit tests, runpytest unit_test.To only run integration tests, runpytest integration_test.
Package: wolf-core
Projet Wolf-CoreWolf-Core StatusLe projet Wolf est un projet ayant pour but de créer un environnement d'interconnexion entre les différents outils pouvant être utilisés dans la gestion d'associations, de projets
etcInstallationPour installer le projet, suivez les instructions ci-dessous :Clonez le projet sur votre machine en utilisant la commande suivante :
bashgitclonegit@github.com:sedelpeuch/wolf-core.gitInstallationCréez un environnement virtuel et installez le package :python3-mpipinstallvirtualenv
python3-mvirtualenvvenvsourcevenv/bin/activate
pipinstallpoetry
poetryinstallDocumentationLa documentation complète du projet est disponible dans le répertoire /docs. Vous pouvez consulter cette documentation
pour en savoir plus sur les
fonctionnalités du projet et son utilisation.ContributionsNous accueillons avec plaisir les contributions à notre projet ! Si vous souhaitez contribuer, veuillez suivre les
étapes suivantes :Forker le dépôtCréer une nouvelle brancheEffectuer vos modificationsValider vos changementsPousser votre brancheSoumettre une pull requestNous apprécions les contributions de la communauté pour améliorer et faire évoluer le projet Wolf !LicenceCe projet est distribué sous licence GPL3. Pour plus d'informations, veuillez consulter le fichier LICENSE.Nous espérons que le projet Wolf répondra à vos besoins de gestion des ressources internes. N'hésitez pas à nous
contacter si vous avez des questions
ou des commentaires. Merci de votre intérêt pour notre projet !
Package: wolfcrypt
wolfCrypt Python, a.k.a.wolfcryptis a Python module that encapsulateswolfSSL’s wolfCrypt API.wolfCryptis a
lightweight, portable, C-language-based crypto library
targeted at IoT, embedded, and RTOS environments primarily because of its size,
speed, and feature set. It works seamlessly in desktop, enterprise, and cloud
environments as well. It is the crypto engine behindwolfSSL’s embedded ssl
library.CompilingWindowsInstall the following on Windows:CMakeGitPython 3.9Build Tools for Visual Studio. This is in the “Tools for Visual Studio” section at the bottom of the page. The “Desktop development with C++” pack is needed from the installer.Then from the command line install tox and CFFI using:pipinstalltoxcffiYou can then build the source distribution packages using:pythonsetup.pysdistLinuxThesetup.pyfile covers most things you will need to do to build and install from source. As pre-requisites you will need to install either from your OS repository or pip. You’ll also need the Python development package for your Python version:cffitoxpytestTo build a source package runpython setup.py sdist, to build a wheel package runpython setup.py bdist_wheel. To test the build runtox. Thetoxtests rely on Python 3.9 being installed, if you do not have this version we recommend usingpyenvto install it.InstallationWe provide Python wheels (prebuilt binaries) for OSX 64 bits and Linux 64 bits:$pipinstallwolfcryptTo build wolfcrypt-py against a local installation of the native C wolfSSL
library, use the USE_LOCAL_WOLFSSL variable.  This variable should bewolfcrypt-py can be built against a local version of the native wolfSSL
library by using pip with the USE_LOCAL_WOLFSSL variable. USE_LOCAL_WOLFSSL
should be set equal to the installation path for the wolfSSL library:$USE_LOCAL_WOLFSSL=/path/to/wolfssl/installpipinstall.If building wolfcrypt-py against a local wolfSSL library, wolfcrypt-py
will attempt to do native feature detection to enable/disable wolfcrypt-py
features based on how native wolfSSL has been compiled.  It uses the
<wolfssl/options.h> header to do feature detection.Testing>>>fromwolfcrypt.hashesimportSha256>>>Sha256('wolfcrypt').hexdigest()b'96e02e7b1cbcd6f104fe1fdb4652027a5505b68652b70095c6318f9dce0d1844'Testingwolfcrypt’s source code withtoxTo run the unit tests in the source code, you’ll needtoxand a few other
requirements.Make sure that the testing requirements are installed:$sudo-Hpipinstall-rrequirements/test.txtRuntox:$tox...
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Package: wolfe
🐺 i am winston wolfe, i solve problemsDemoFeaturesWritten in PythonUses the stackoverflow api.You need bash for it too work.Installation1:PIP$pipinstallwolfe2: From Source$gitclonehttps://github.com/Zephrys/wolfe$cdwolfe/$pythonsetup.pyinstallUsageAsk Mr. Wolfe to record errors, ask politely$wolfeonAsk him to solve the last problem you faced via stackoverflow$wolfe$lAsk him to solve the last problem you faced via google$wolfe$l--googleTell him his services aren’t needed any more$wolfeoffHelp$wolfe--helpNoteMr. Wolfe edits your.bashrcand stores a copy of the original.bashrcfile in~/.bashrc.bak, every time thewolfe oncommand is run.If your terminal is messed up docp~/.bashrc.bak~/.bashrcMr. Wolfe doesn’t change.bashrcwhen the terminal is exited, dowolfe offto undo the changes to the.bashrcfile.ContributingUse theissue trackerto file bugs or push new features.LicenseOpen sourced under theMIT License
Package: wolfhece
Ce paquet contient l'interface graphique Python du logiciel WOLF (HECE - ULiège) de même que plusieurs outils de traitements topographique, hydraulique et hydrologique.Les codes de calcul ne sont pas contenus dans ce paquet.--This package contains the Python graphical interface of the WOLF software (HECE - ULiège), as well as several topographic, hydraulic, and hydrological processing tools.The numerical codes are not included in this package.
Package: wolf-ism8
Implementation of an http server which communicates with WOLF HVAC systems via their ISM8 module. Received datagrams are translated to pyhon datatypes and held in a internal dictionary for further
usage. Writable datapoints are correctly encoded and sent to ISM8.This python package was built in order to integrate aWOLFheating system into theHome Assistantecosystem. The library takes advantage of the ASYNCIO-Library.
Package: wolf-new
nonebot_plugin_wolf_kill——基于nonebot2的狼人杀游戏插件Name: nonebot2
Version: 2.0.0rc12022-11-22 更新—— 重写了代码，修复了一些bug—— 移除 警长，禁言简介在群里玩狼人杀功能介绍/自定义(可选)/自定义 神数 狼数 民数 技能身份...如：/自定义 2 2 2 预言家 猎人默认内置6-12局例如:(平民跟狼人至少有一个,目前只有屠边模式)/参加狼人杀/开始游戏(没有自定义,默认6-12人局)/结束游戏中途结束游戏,清空所有配置游戏详细流程人数足够,开始游戏机器人私发身份轮流发言投票环节另外记得把配置文件的临时会话打开
Package: wolfram-alpha-api
# wolfram-alpha-apiwolfram-alpha-api is a Python wrapper for the Wolfram|Alpha APIs, mainly for Spoken Result API and Short Answers API.## InstallationWith pip:$ pip install wolfram-alpha-apior easy_install:$ easy_install wolfram-alpha-api## Dependencieswolfram-alpha-api requires therequestspackage.## UsageIn test.py, replace the key value with your Wolfram|Alpha API key, then run:python test.pyThis uses spoken_results method to get a text string from the Spoken Result API. If no result get, it will try the Short Answers API automatically. These APIs are free to use for up to 2,000 calls per month. For speech_recognition and full_results, you will need to upgrade your Wolfram|Alpha API Key.For a complete overview of the APIs, please refer to the [Wolfram|alpha API Documentation](https://products.wolframalpha.com/spoken-results-api/documentation/)
Package: wolframalpha-asyncio
Async Python Client built against theWolfram|Alphav2.0 API.UsageBasic usage is pretty simple. Create the client with your App ID (request from
Wolfram Alpha):import wolframalpha
client = wolframalpha.Client(app_id)Then, you can send queries, which return Result objects:res = await client.query('temperature in Washington, DC on October 3, 2012')Result objects havepods(a Pod is an answer group from Wolfram Alpha):for pod in res.pods:
    do_something_with(pod)Pod objects havesubpods(a Subpod is a specific response with the plaintext
reply and some additional info):for pod in res.pods:
    for sub in pod.subpods:
        print(sub.text)You may also query for simply the pods which have ‘Result’ titles or are
marked as ‘primary’ usingResult.results:print(next(res.results).text)All objects returned are dictionary subclasses, so to find out which attributes
Wolfram|Alpha has supplied, simply invoke.keys()on the object.
Attributes formed from XML attributes can be accessed with or without their
“@” prefix (added by xmltodict).For more information, read the source.
Package: wolframalpha-cli
WolframAplha CLICommand Line Interface to run queries onWolframAlphaUsageusage:wa[-h][-q][--appidAPPID]QUERY

WolframAlphacli

positionalarguments:QUERYQuerytosearchinWolframAlpha(groupmultiplewordswithquotes)optionalarguments:-h,--helpshowthishelpmessageandexit-qQuiet,onlyprinttheresults--appidAPPIDWolframAlphaAppID-Ifnotinformedwillbeaskedandsavedinafileforfutureuse
Package: wolframalphaforked
Python Client built against theWolfram|Alphav2.0 API.UsageBasic usage is pretty simple. Create the client with your App ID (request from
Wolfram Alpha):import wolframalpha
client = wolframalpha.Client(app_id)Then, you can send queries, which return Result objects:res = client.query('temperature in Washington, DC on October 3, 2012')Result objects havepods(a Pod is an answer group from Wolfram Alpha):for pod in res.pods:
    do_something_with(pod)Pod objects havesubpods(a Subpod is a specific response with the plaintext
reply and some additional info):for pod in res.pods:
    for sub in pod.subpods:
        print(sub.text)You may also query for simply the pods which have ‘Result’ titles or are
marked as ‘primary’ usingResult.results:print(next(res.results).text)All objects returned are dictionary subclasses, so to find out which attributes
Wolfram|Alpha has supplied, simply invoke.keys()on the object.
Attributes formed from XML attributes can be accessed with or without their
“@” prefix (added by xmltodict).For more information, read the source.
Package: wolframclient
Wolfram Client library for PythonThe Wolfram Client Library provides seamless Wolfram Language integration in Python. A list of features provided by the library:evaluate arbitrary code on a local kernel,evaluate arbitrary code on Wolfram cloud, public or private,call deployedAPIFunction,build Python functions on top of Wolfram Language functions,represent arbitrary Wolfram Language code as Python object,serialize Python object to Wolfram Language stringInputForm,serialize Python object toWXF,extend serialization to any arbitrary Python class,parseWXFencoded expressions.LinksInstallation instructionsDocumentationAnnouncement Blog postChangelogContributor guidelinesLicenseProject InformationLicencingThis project is released under the MIT licence.ContributionsThe library is maintained by Wolfram Research. The code is on Github. Pull requests and suggestions are always welcomed.
Package: wolfssl
WelcomewolfSSL Python, a.k.a.wolfsslis a Python module
that encapsulateswolfSSL’s SSL/TLS library.ThewolfSSL SSL/TLS libraryis a lightweight, portable, C-language-based
library targeted at IoT, embedded, and RTOS environments primarily because of
its size, speed, and feature set. It works seamlessly in desktop, enterprise,
and cloud environments as well.PrerequisitesLinuxDuring installation via pip this will download the wolfSSL source and compile it, it therefore needs the same prerequisites as the wolfSSL C library. Therefore in Debian / Ubuntu you should do:$sudoaptinstallbuild-essential$sudoaptbuild-deplibwolfssl-devCompilingThesetup.pyfile covers most things you will need to do to build and install from source. As pre-requisites you will need to install either from your OS repository or pip. You’ll also need the Python development package for your Python version:cffitoxpytestTo build a source package runpython setup.py sdist, to build a wheel package runpython setup.py bdist_wheel. To test the build runtox. Thetoxtests rely on Python 3.9 being installed, if you do not have this version we recommend usingpyenvto install it.InstallationWe provide Python wheels (prebuilt binaries) for OSX 64 bits and Linux 64 bits:$pipinstallwheel$pipinstallwolfsslTo build wolfssl-py from source:$cdwolfssl-py$pipinstall.The default pip install clones wolfSSL from GitHub. To build wolfssl-py using a
local installation of the native wolfSSL C library, the USE_LOCAL_WOLFSSL
environment variable should be set.  USE_LOCAL_WOLFSSL can be set to “1” to use
the default library installation location (/usr/local/lib, /usr/local/include),
or to use a custom location it can be set to the install location of your native
wolfSSL library.  For example:# Uses default install location$USE_LOCAL_WOLFSSL=1pipinstall.# Uses custom install location$USE_LOCAL_WOLFSSL=/tmp/installpipinstall.TestingTo run the tox tests in the source code, you’ll needtoxand a few other
requirements.Make sure that the testing requirements are installed:sudo-Hpipinstall-rrequirements/test.txtRunmake check:$makecheck...
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congratulations :)SupportFor support and questions, please emailsupport@wolfssl.com.
Package: wolfssl-with-ed25519
WelcomewolfSSL Python, a.k.a.wolfsslis a Python module
that encapsulateswolfSSL’s SSL/TLS library.wolfSSL’s SSL/TLS libraryis a lightweight, portable, C-language-based
library targeted at IoT, embedded, and RTOS environments primarily because of
its size, speed, and feature set. It works seamlessly in desktop, enterprise,
and cloud environments as well.InstallationWe provide Python wheels (prebuilt binaries) for OSX 64 bits and Linux 64 bits:$pipinstallwolfssl
Package: wolk
Drop-in substitute foros.path.walk()with additional features:Walks over multiple rootsYieldspathlib.Path()and notstrYields full absolute paths by defaultCan exclude or include files flexibly by pattern or functionExcludes dotfiles by defaultTwo special patterns to match all files in a Python project,
or all Python sound files, are includedThe last one is really useful because Python tends to leave all sorts of copies
of your code in directories likebuild/,dist/or*.egg/.
Package: wolkenatlas
wolkenatlas__     __     ______     __         __  __     ______     __   __     ______     ______   __         ______     ______    
/\ \  _ \ \   /\  __ \   /\ \       /\ \/ /    /\  ___\   /\ "-.\ \   /\  __ \   /\__  _\ /\ \       /\  __ \   /\  ___\   
\ \ \/ ".\ \  \ \ \/\ \  \ \ \____  \ \  _"-.  \ \  __\   \ \ \-.  \  \ \  __ \  \/_/\ \/ \ \ \____  \ \  __ \  \ \___  \  
 \ \__/".~\_\  \ \_____\  \ \_____\  \ \_\ \_\  \ \_____\  \ \_\\"\_\  \ \_\ \_\    \ \_\  \ \_____\  \ \_\ \_\  \/\_____\ 
  \/_/   \/_/   \/_____/   \/_____/   \/_/\/_/   \/_____/   \/_/ \/_/   \/_/\/_/     \/_/   \/_____/   \/_/\/_/   \/_____/All your embeddings are belong to usWolkenatlas is a lightweight embedding wrapper with only a single dependency:numpy.Installationpipinstallwolkenatlas