Saravanan666/pypi-org huggingface dataset:
Package: order.py
Official Order Python API WrapperHi!This repository contains the source code of the Order API wrapper for the Python programming language meant for writing bots. It could be used for typical user accounts as well, and this is not prohibited by the Terms of Service in any way, but not all functions of the API are fully implemented to fulfill every action a human user might take in the app.Installationpip3 install order.pyHow do I get a bot token?Head into the app. Open user settings by clicking on you avatar in the bottom-right corner. Navigate to the "Developers" tabChoose a cool name and hit the "create" button. Below that you will see the list of bot IDs you have created previously.Once you did that, you should see a big popup. Copy the bot ID and token and save them in a separate file.You will only see this token once!How do I use my bot?Bots can only be used in groups. In order to add a bot, you should know its ID.Head into the app. Choose or create a group you would like to add the bot into. Open its settings by clicking on its title in the top-left corner. Navigate to the "Invites" tab. Paste your bot ID into the "Bot ID" field. Click the "Invite bot" button. You're all set!Simple bot exampleSends "Hi!" when it receives "hello"importorderfromorderimportentitiesfromorder.entitiesimportMessageimporttimeasyncdefon_message(message,text):iftext.lower()=='hello':awaitclient.put_entities([Message.create(sections=[Message.TextSection.create('Hi!')],channel=message.channel)])asyncdefon_entities(packet):foreinpacket.entities:ifisinstance(e,Message):# find the first text sectionforsine.sections:ifisinstance(s,Message.TextSection):awaiton_message(e,s.text)breakasyncdefon_connected():awaitclient.login_with_bot_token('BOT_TOKEN')asyncdefon_logged_in(user):print('Logged in as '+user.name+'#'+str(user.tag))client=order.Order(debug_protocol=False)client.handler('connected',on_connected)client.handler('logged_in',on_logged_in)client.handler('entities',on_entities)client.run()
Package: orders-pr-contracts
orders_pr_contractsPython Boilerplate contains all the boilerplate you need to create a Python package.Free software: MIT licenseDocumentation:https://orders-pr-contracts.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2023-02-09)First release on PyPI.
Package: ordinalgbt
OrdinalGBTIntroductionOrdinalGBT, which stands for Ordinal gradient boosted trees, is a Python package that implements an ordinal regression loss function using the lightGBM framework. Ordinal regression is a type of regression analysis used for predicting an ordinal variable, i.e. a variable that can be sorted in some order. LightGBM is a gradient boosting framework that uses tree-based learning algorithms and is designed to be distributed and efficient.InstallationYou can install OrdinalGBT using pip:pipinstallordinalgbtUsageHere are a few examples on how to use theLGBMOrdinalclass:Fitting the modelfromordinalgbt.lgbimportLGBMOrdinalimportnumpyasnp# Create the modelmodel=LGBMOrdinal()# Generate some dataX=np.random.rand(100,10)y=np.random.randint(0,3,100)# Fit the modelmodel.fit(X,y)Predicting with the modelAfter fitting the model, you can use it to make predictions:# Generate some new dataX_new=np.random.rand(10,10)# Use the model to make predictions# the .predict method returns the class prediction rather than raw score or# probabilitiesy_pred=model.predict(X_new)print(y_pred)Predicting probabilities with the modelThepredict_probamethod can be used to get the probabilities of each class:# Use the model to predict probabilitiesy_proba=model.predict_proba(X_new)print(y_proba)
Package: ordinalizer
# Ordinalizer## AboutThis package is there to help you ordinalizing your cardinal numbers. I.e. to turn42into42nd.For more examples, please refer to the unit tests.## ContributingIf you’d like to contribute, feel free, you keep in mind these two points:keep the interface simple and understandablefollow Python best practicesIf you feel that the code doesn’t follow these principles either open a PR or an issue.Thank you.
Package: ordinal-number
This package is for ordinal numbers. Ordered numbers are a concept from set theory that extends the natural numbers to compare the "length" of aligned sets. This library implements ordered numbers: sum, difference (left-hand inverse), product, quotient (left-hand inverse), truncation, division, remainder, comparison of sizes, square root, etc. If I have enough power, I will also create "log", "n-square root" and "factorial". If requested, I will make others. (my Email:alphagameplayerpro$gmail.com (please replace $ to @))And,```omega = ordinal_number.OMEGA```at the beginning of the program. That way, it is intuitive and the output of repr() can be executed as is.Referenceshttp://www.behounek.online/logic/papers/ordcalc/index.htmlhttps://proofwiki.org/wiki/Division_Theorem_for_Ordinals#Existence_of_%7F'%22%60UNIQ-MathJax-9-QINU%60%22'%7F_and_%7F'%22%60UNIQ- MathJax-10-QINU%60%22'%7Fhttps://manabitimes.jp/math/1318 (Japanese site)examplesimprot ordinal-number as ordomega = ord.OMEGA#__add__omega+1+omega+omega+1#>>> omega*2+1#__sub__  A-B := (X such that B+X=A) if not exists, return None(omrga**2*2+omega*2+1)-omega**2#>>> omega**2+omega*2+1(omega*2+1)-omega**2#>>> None#__mul__(omega+1)*(omega+1)#>>> omega**2+omega+1#__truediv__  A/B := (X such that B*X=A) if not exists, return None(omega**2+omega+1)/(omega+1)#>>> omega+1(omega**2+omega+1)/omega#>>> None#__floordiv__  A//B := (X such that B*X+Y=A ,0<=Y<B)(omega**2+omega+1)//(omega+1)#>>> omega+1(omega**2+omega+1)//omega#>>> omega+1#__truediv__  A%B := (Y such that B*X+Y=A ,0<=Y<B)(omega**2+omega+1)%(omega+1)#>>> 0(omega**2+omega+1)%omega#>>> 1#__pow__(omega+1)**2#>>> omega**2+omega+12**omega#>>> omegaomega**2#>>> omega#sqrt(self)(omega**2+omega+1).sqrt()#>>> omega+1
Package: ordinals
A sandbox for working withord:pip install ordinalsFor now, api calls go throughhttps://ordapi.xyz/but anofficial api is in the works. Will switch to that once available, or start wrapping the ord crate from python.SetupClone,poetry installthenpre-commit install.poetry run pytestUsageAll subject to change. Just exploring the api for now.A simple example of iterating through inscriptions and printing any with plaintext content:fromordimportclientfori,inscription_idinclient.inscriptions(start=0,stop=100):inscription=client.get_content(inscription_id)try:plaintext=inscription.decode("utf-8")print(i,inscription_id,"plaintext content")print(plaintext,"\n\n")exceptUnicodeDecodeError:pass
Package: ordinal-scale-stats
Ordinal-Scale-Stats-pyPython package that helps you analyze ordinal data.IntroductionOrdinal scale data is common. Companies and governments can quickly perform large-scale research with surveys.
Usually, a survey output is placed on the Likert scale, where answers are ordered to describe a person's feelings about the survey's topic.
A typical example of a survey is when a person is asked to agree with a statement with answers on a five-level scale:Should the law protect your personal data?

1. Strongly disagree.
2. Rather disagree.
3. I don't know.
4. Rather agree.
5. Strongly agree.The order between categories makes analysis complex, and the fact that answers are polarized between opposing states. Moreover, a border between categories is subjective and depends on the person's experiences, feelings, and knowledge about a surveying topic.Classical measurements of central tendency do not fit well with ordinal data [ADD BIBLIOGRAPHY]. We encourage you to use theordinal-scale-statspackage to analyze survey responses.
Withordinal-scale-stats, you can:visualize differences between surveyed groups,measure polarizationwithina group,measure polarizationbetweengroups,measure ...Example use caseSetupRequirementsAPIVignettesTests and ContributionCommunityCitation
Package: ordipool
ordipoolA mempool sdk library tailored for multiple usecases including ordinalsGet startedInstallationpipinstallordipoolCheck out tests intests/to explore the libraryIt has following tests written:test_mempoolio.py- tests for mempool sdktest_transaction_info.py- tests for transaction info model and methodstest_utils.py- tests for utility functionsLocal Setuppipinstall-rrequirements.txtRun testspython-munittestdiscovertestsContributingCreate an issue to discuss about the feature/bugFork the repoCreate a branchMake changesCreate a PRGet it reviewed and mergedCelebrate 🎉
Package: ordir
ordirA utility to printdir() in a readable format.Usage>>>fromordirimportordir>>>importrequests>>>page=requests.get("https://cnn.com")>>>ordir(page)__attrs____bool____class____delattr____dict____dir____doc____enter____eq____exit____format____ge____getattribute____getstate____gt____hash____init____init_subclass____iter____le____lt____module____ne____new____nonzero____reduce____reduce_ex____repr____setattr____setstate____sizeof____str____subclasshook____weakref___content_content_consumed_nextapparent_encodingcloseconnectioncontentcookieselapsedencodingheadershistoryis_permanent_redirectis_redirectiter_contentiter_linesjsonlinksnextokraise_for_statusrawreasonrequeststatus_codetexturlhttps://stackoverflow.com/a/19703412
Package: ord-mediascout-client
Mediascout ORD API clientUnofficial python client forORD Mediascout API.Installationpipinstallord-mediascout-clientUsagefromord_mediascout_clientimportORDMediascoutClient,\ORDMediascoutConfig,CreateClientWebApiDto,\ClientRelationshipType,LegalFormconfig=ORDMediascoutConfig(url='http://localhost:5000',username='username',password='password',)api=ORDMediascoutClient(config)client_dto=CreateClientWebApiDto(createMode=ClientRelationshipType.DirectClient,legalForm=LegalForm.JuridicalPerson,inn="1234567890",name="Test Client",mobilePhone="1234567890",epayNumber=None,regNumber=None,oksmNumber=None)response_client_dto=api.create_client(client_dto)TestingGet credentials for accessinghttps://demo.mediascout.ru/and put them into .env file (see .env.example.env)First setup virtual environment (once):pipenvinstall--dev
pipenvinstall-e.To run tests:pipenvshell
pytestPackagingpipenvinstall--dev
pipenvshell# update versionvipyproject.toml# clean up files from dist/* before deploy not to upload old ones# rm dist/*# create new buildpython-mbuild# upload fresh buildpython-mtwineuploaddist/*
Package: ordr.py
ordr.pyEasy to use, Simple: API and Websocket wrapper for o!rdr services.Installationpipinstallordr.pyDocumentationDocumentationchangelogIssueIf you have any questions, please start a GitHub issue or contact me via Discord (Rqtl#4189, friend requests will not be accepted, dm is open to o!rdr discord server).Creditso!rdr APILicenseThis project is licensed underMIT License. See theLICENSEfor more details.
Package: ord-schema
Open Reaction Database: Schema (ord-schema)This repository contains the schema for the Open Reaction Database initiative; please see the documentation
athttps://docs.open-reaction-database.org.This repository does not contain the database itself; that is stored
inord-data. Rather,ord-schemais
designed to store the database schema and tools for creating, validating, and submitting data to the database.Installation$pipinstallord-schemaExamplesTheexamples/directory contains examples of dataset creation and use. To run locally, install with:$pipinstall"ord-schema[examples]"Click here to run the examples with Binder:DevelopmentTo install in editable/development mode:$gitclonehttps://github.com/open-reaction-database/ord-schema.git
$cdord-schema
$pipinstall-e.If you make changes to the protocol buffer definitions,installprotocand run./compile_proto_wrappers.shto rebuild the wrappers.Conventions1. convention: compound stoichiometryCreated: 2023.07.04Last updated: 2023.07.04Description:The preferred field for compound stoichiometry is the mapCompound.featuresorProductCompound.features.The key should be "stoichiometric_coefficient" or "stoichiometric_ratio".The value should be aDatamessage with itsfloat_valuerepresenting the compound's stoichiometric
coefficient or ratio.Related links:#683#684
Package: ordway
OrdwayOrdway is a simple API wrapper forOrdway. It's currently in pre-alpha stage, so be wary if you decide to use this in production. Please report any issues you encounter.InstallationThe easiest way to install ordway is viapip.pipinstallordwayQuickstartfromordwayimportOrdwayClientordway=OrdwayClient(email="EMAIL",user_token="USER_TOKEN",api_key="API_KEY",company="COMPANY",)forpaymentinordway.payments.all():print(payment)forsubscriptioninordway.subscriptions.list(page=1,filters={"updated_date>":"2020-01-01"},sort="updated_date",ascending=False):print(subscription)print(ordway.customers.get(id="CUST-01"))ordway.customers.create(data={"name":"Jason","description":"Hello","contacts":[{"first_name":"Jason"}],...})DocumentationTODO
Package: ore.alchemist
ore.alchemist provides core features for zope3 relational database applications
utilizing sqlalchemy. it includes transformation of zope3 schemas to sqlalchemy
tables,  sqlalchemy transformation into zope3 schemas, and containers.it maintains a minimal api for sqlalchemy abstraction, you can use
whatever constructions sqlalchemy supports.additionally ore.alchemist is the foundation package for a range of additional
services, including a range of user interface components and widgets for
interacting with domain models. more information can be found on the project’s
homepage.0.6.0 2008-12-17allow for passing a filter to batch container methodallow specification of pool timeout in zcmlallowing specification of ordering for vocabularies0.5.2 2008-5-19Relicensed under the ZPLSession Integration with Elixirmade keyreference config conditional on keyreference
Package: ore-combinators
OreA simple WIP pythonic parser combinator library inspired by Haskell's attoparsec.It supports two styles: declarative and imperative.For example, declarative style looks like the following:fromore_combinators.combinatorsimportalphabet,transformfromore_combinators.combinatorsimportsequence,take_while_possiblejoin=lambdal:''.join(l)name=transform(sequence(alphabet,transform(take_while_possible(alphabet),join)),join)The very same combinator could be written as function:fromtypingimportTuplefromore_combinators.combinatorsimportalphabetfromore_combinators.combinatorsimporttake_while_possiblefromore_combinatorsimportcombinator_function,ParserState,Result@combinator_function()defname(state:ParserState)->Tuple[str,ParserState]:first_symbol,state=alphabet(state)other_symbols,state=take_while_possible(alphabet)(state)returnResult.make_value(first_symbol+''.join(other_symbols),state)To run a parser on a given text, userunorrun_safe:fromtypingimportTuplefromore_combinators.combinatorsimportalphabetfromore_combinators.combinatorsimporttake_while_possiblefromore_combinatorsimportParserState,Resultfromore_combinatorsimportrun_safe,combinator_function@combinator_function()defname(state:ParserState)->Tuple[str,ParserState]:first_symbol,state=alphabet(state)other_symbols,state=take_while_possible(alphabet)(state)returnResult.make_value(first_symbol+''.join(other_symbols),state)name_result=run_safe(name,"Ore     ")assertname_result.value=="Ore"The difference betweenrunandrun_safeis thatrun_safereturns result without raising exceptions.
Exceptions saved in the result instead.runjust throws exceptions without saving them into result.InstallationTo install this library, just typepip install ore-combinatorsin the console.
Package: oredis
Oredis is a library for storing objects in Redis, a persistent key-value database. It includes an extensible list of validations and has very good performance.How to usefrom oredis.models import Model
from oredis.manager import Manager
from oredis.fields import String, PrimaryKey, StringPK, Integer, DateTimeclass NoteManager(Manager):passclass NoteModel(Model):id = PrimaryKey()
title = String()
pk_hash = StringPK()
body = String(required = True)objects = NoteManager(connection = redis.Redis())In [19]: note1 = NoteModel(title = “Hello world!”,….: body=”I am currently engaged in teaching my brother to program.
He is a total beginner, but very smart. (And he actually wants to learn).
I’ve noticed that some of our sessions have gotten bogged down in minor details,
and I don’t feel I’ve been very organized. (But the answers to this
post have helped a lot.)”)In [20]: note1
Out[20]: <NoteModel: 942>In [21]: note1.title
Out[21]: ‘Hello world!’In [22]: note1.titleINSTALLATIONTo use oredis  use pip or easy_install:pip install oredisoreasy_install oredisCONTRIBUTEForkhttps://github.com/lispython/oredis/, create commit and pull request.CreditsThanks Alexander Solovyov for some concepts are taken from orem library.
Package: oregpt
oregptA tiny GPT CLI tool.
You can chat with the GPT model developped by OpenAI and save the conversation as json.InstallationGet your own OpenAI API KeyAssuming you have an environment variable with key namedOPENAI_API_KEY.
If you don't have a OpenAI API keyvisit here, generate one and add it as an environment variableexportOPENAI_API_KEY=<YOUR-OPENAI-API-KEY>Instal from PyPIYou can install the package using pip:$pipinstalloregptUsageOnce you have installed oregpt, you can run it by typing:$oregptThere are a few options:$oregpt--help
Usage:oregpt[OPTIONS]Options:-V,-v,--versionShowtheversionandexit.-m,--model_nameTEXTModelnameinOpenAI(e.g,gpt-3.5-turbo,gpt-4)-a,--assistant_roleTEXTRolesettingforAssistant(AI)--helpShowthismessageandexit.Supported commands on chatCommands such as saving and loading conversations are available as the following:CommandDescription/exitExit from this chat tool/quitExit from this chat tool/qExit from this chat tool/clearClear chat history all/historyShow chat history in json format/saveSave chat history in json format/loadLoad chat history from a json file/helpShow all commands which you can use in this chat toolConfigurationYou can specify the place of conversationlog,style (color etc)andthe model supported in /v1/chat/completions endpoint provided by OpenAIin~/.config/oregpt/config.yml❯ cat ~/.config/oregpt/config.ymllog:/tmp/oregpt/openai:model:gpt-3.5-turbo# You can also specify OpenAI's API key here#     api_key: <your-api-key>character:user:name:Mestyle:"#00BEFE"assistant:name:AIstyle:"#87CEEB"role:"Youareachatbot"system:name:Systemstyle:"#cc0000"
Package: oreille
OpenAPI Whisper support only files that are less than 25 MB. Oreille will break the audio file into chunks of 25 MB’s or less.https://platform.openai.com/docs/guides/speech-to-text/longer-inputsOreille will also compute the correct timing of the subtitle when merging the output of Whisper. So once you export the subtitle the timestamp of the subtitle will be right.
You can open and save WAV files with pure python. For opening and saving non-wav files – like mp3 – you’ll need ffmpeg or libav.
Package: oreiller
oreillerThe package for easy image manipulation backed by pillow power.The package for clean Pillow codebases.fromoreillerimportOreillerasoreyw,h=220,190img=orey.new("RGB",(w,h))orey.fill(None)orey.oline(40,40,w-10,h-10,width=0)# use .line for normalimg.show()orey.cleanup()DocsMethods prefixed by o is inspired by theprocessing API..newReturns Image.new.fillModifies fill value. Impacts all functions. No need to re-specify fill=.lineDraws line without the need of ImageDraw.olineProcessing api of line(x1, y1, x2, y2).otextxytextpilmoji keyword arguments.fontfont(ImageDraw.font(...)).arcargs same as pillow args.oarcx1y1x2y2startendKeyword arguments same as pillow.chordargs same as pillow args.ochordx1y1x2y2startendKeyword arguments same as pillow.rectangleargs same as pillow args.orectx1y1x2y2Keyword arguments same as pillow.ellipseargs same as pillow args.oellipsex1y1x2y2Keyword arguments same as pillow.rectangleargs same as pillow args.orounded_rectx1y1x2y2radiusKeyword arguments same as pillow.polygonargs same as pillow argsChangelogEmojilog 1.00.2.0
🎉 .otext
🎉 .font
🎉 .arc
🎉 .oarc
🎉 .chord
🎉 .ochord
🎉 .polygon
🎉 .fill impacts all functions
🎉 .rectangle
🎉 .orect
🎉 .ellipse
🎉 .oellipse
🎉 .rectangle
🎉 .orounded_rect

0.1.0
🎉 Package skeleton
🎉 Oreiller class
🎉 .line
🎉 .oline
🔧 Fix cleanup: inform when closing closed images
Package: oreka
What is Oreka?Oreka is a python module to create Python Virtual Environments from Python scripts.How to install Oreka?You may want to run this from inside a virtual environment, or with root privileges to install globally to all your system:pip install orekaCheck it with:python -c "from oreka import VirtualEnv"It shouldn’t raise any error.How to run the example.py?In the example you can see how to create a virtualenv and install requirements on it.First, let’s create and activate a testing virtualenv:mkvirtualenv -p /usr/bin/python2.7 /tmp/testing_oreka/
source /tmp/testing_oreka/bin/activate
(testing_oreka) $Prepare the pypi package and install it into the venv:(testing_oreka) $ python setup.py installThe same virtualenv should work to prepare the package and to test it.Check it:(testing_oreka) $ pip freeze
oreka==0.1
wsgiref==0.1.2And run the example:(testing_oreka) $ python example.pyYou should get no error.The source code at the moment is quite small, so reading it or the tests should not be complicated and should provide some help on how to use the system.TODOdocument for ipython
document here
FIXMEs
test again all the package
test the sdist
register and upload it
document all the process
open the repo.
Package: oremda-client
This project was bootstrapped withCreate React App, using theReduxandRedux Toolkittemplate.Available ScriptsIn the project directory, you can run:npm startRuns the app in the development mode.Openhttp://localhost:3000to view it in the browser.The page will reload if you make edits.You will also see any lint errors in the console.npm testLaunches the test runner in the interactive watch mode.See the section aboutrunning testsfor more information.npm run buildBuilds the app for production to thebuildfolder.It correctly bundles React in production mode and optimizes the build for the best performance.The build is minified and the filenames include the hashes.Your app is ready to be deployed!See the section aboutdeploymentfor more information.npm run ejectNote: this is a one-way operation. Once youeject, you can’t go back!If you aren’t satisfied with the build tool and configuration choices, you canejectat any time. This command will remove the single build dependency from your project.Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands exceptejectwill still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.You don’t have to ever useeject. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.Learn MoreYou can learn more in theCreate React App documentation.To learn React, check out theReact documentation.