Saravanan666/pypi-org huggingface dataset:
Package: eliminate-newlines
Eliminate Newlines CLIThis CLI formats Python code in such a way that after the function definition header all newlines will be deleted.Exampledeffoo(a):returna+1classA:defbar(self,b,c):returnb+cwill be formatted to:deffoo(a):returna+1classA:defbar(self,b,c):returna+b+cExample usage:Reformat file:eliminate_newlines testfile.pyReformat folder (recursively):eliminate_newlines /path/to/testfolderCheck mode:eliminate_newlines testfile.py --checkReturn CodesReturn code 0 means nothing would change.Return code 1 means some files would be reformatted.Return code 123 means there was an internal error.CLI Documentation:eliminate_newlines --helpUsage: eliminate_newlines [OPTIONS] PATH

  This CLI formats Python code in such a way that after the function
  definition header all newlines will be deleted.

  Return code 0 means nothing would change.  Return code 1 means some files
  would be reformatted. Return code 123 means there was an internal error.""
  pass.

  Passed PATHS can be either filea or directories. In the latter case, all
  files in the folders will be formatted recursively.

Options:
  --check  Don't write the files back, just return the status.
  --help   Show this message and exit.
Package: elimity-insights-client
Elimity Insights Python clientThis Python module provides a client for connector interactions with an Elimity
Insights server.UsageImporting data to custom sourcesThe following snippet shows how to authenticate as a custom source and create a connector log at an Elimity Insights
server. You can generate a source identifier and token by visiting the custom source's detail page in Elimity Insights
and clicking the 'GENERATE CREDENTIALS' button, which can be found under the 'SETTINGS' tab.fromdatetimeimportdatetimefromelimity_insights_clientimportClient,Config,ConnectorLog,Levelif__name__=="__main__":config=Config(id=1,url="https://local.elimity.com:8081",token="token")client=Client(config)timestamp=datetime.now()log=ConnectorLog(level=Level.INFO,message="Hello world!",timestamp=timestamp)logs=[log]client.create_connector_logs(logs)Other API interactionsThis module also provides a client for other API interactions with Elimity Insights. The snippet below shows how to
authenticate with an API token and list sources at an Elimity Insights server. You can generate a token identifier and
secret by visiting the 'API tokens' page in Elimity Insights and clicking the 'CREATE API TOKEN' button.fromelimity_insights_client.apiimportConfig,sourcesif__name__=="__main__":config=Config(token_id="1",token_secret="my-secret-value",url="https://example.elimity.com",verify_ssl=True)my_sources=sources(config)print(my_sources)Installation$pipinstallelimity-insights-clientCompatibilityClient versionInsights version12.8 - 2.102 - 32.11 - 3.043.1 - 3.35 - 63.4 - 3.573.6 - 3.783.8 - 3.159^3.16
Package: elio-apep
The ancient Egyptian deity who embodied chaosthe elioWayapepA collection of util functions and methods writ inpythontheelioWay.apep DocumentationInstallingpipinstallapepInstalling apepSeeing is Believinggitclonehttps://gitlab.com/elioangels/apep.git
virtualenv--python=python3venv-apepsourcevenv-apep/bin/activate# orsourcevenv-apep/bin/activate.fish
pipinstall-rrequirements/local.txtNutshellpy.test -xapep Quickstartapep CreditsLicenseMITTim Bushell
Package: elio-dna
Dropping the pretense one thing is so different from anotherthe elioWaydnaDjango models, views, forms, and templates, built out of schema.org "Things", the elioWay.dna DocumentationInstallingpipinstallelio-dnaInstalling dnaSeeing is believinggitclonehttps://gitlab.com/eliothing/dna.gitcddna
virtualenv--python=python3venv-dnasourcevenv-dna/bin/activate
pipinstall-rrequirements/local.txt
./init_chromosomes.shTestingBecause the core feature ofdnais buildingDjangoModels dynamically, some tests need to be run isolated.Nutshelldjango-admin runserver
black .dna Quickstartdna CreditsLicenseMITTim Bushell
Package: elio-liar
Fake it until you make itthe elioWayliarA source of random but realistic looking data the elioWay.The main tool isIAmALiar, which is initialised for a certain number of records, then passed definitions of a data model - the instructions for randomly building data into columns.liar DocumentationInstallingpipinstallliarInstalling liarSeeing is Believinggitclonehttps://gitlab.com/elioangels/liar.git
virtualenv--python=python3venv-liarsourcevenv-liar/bin/activate# orsourcevenv-liar/bin/activate.fish
pipinstall-rrequirements/local.txt
pythonexamples/harry_potter.pyNutshellpython examples/harry_potter.pypy.test -xliar Quickstartliar CreditsLicenseMITTim Bushell
Package: eliot
Python’s built-inloggingand other similar systems output a stream of factoids: they’re interesting, but you can’t really tell what’s going on.Why is your application slow?What caused this code path to be chosen?Why did this error happen?Standard logging can’t answer these questions.But with a better model you could understand what and why things happened in your application.
You could pinpoint performance bottlenecks, you could understand what happened when, who called what.That is what Eliot does.eliotis a Python logging system that outputs causal chains ofactions: actions can spawn other actions, and eventually they eithersucceed or fail.
The resulting logs tell you the story of what your software did: what happened, and what caused it.Eliot supports a range of use cases and 3rd party libraries:Logging within a single process.Causal tracing across a distributed system.Scientific computing, withbuilt-in support for NumPy and Dask.Asyncio and Trio coroutinesand theTwisted networking framework.Eliot is only used to generate your logs; you will might need tools like Logstash and ElasticSearch to aggregate and store logs if you are using multiple processes across multiple machines.Eliot supports Python 3.8-3.12, as well as PyPy3.
It is maintained by Itamar Turner-Trauring, and released under the Apache 2.0 License.Read the documentation.Download fromPyPIorconda-forge.Need help or have any questions?File an issueon GitHub.Commercial supportis available fromPython⇒Speed.Testimonials“Eliot has made tracking down causes of failure (in complex external integrations and internal uses) tremendously easier. Our errors are logged to Sentry with the Eliot task UUID. That means we can go from a Sentry notification to a high-level trace of operations—with important metadata at each operation—in a few seconds. We immediately know which user did what in which part of the system.”—Jonathan Jacobs
Package: eli-pa
Eli - Your AI-powered Personal Coding Assistant:warning: - You need a OpenAI auth token to make Eli work. You can find more hereOpenAI:package: - Check outEli on PyPI (PIP)Eli is a CLI-based Personal AI assistant that is powered by the GPT-3 / GPT-4 versions supported byMindsDB.InstallationMake sure you havepipandpython >= 3.6installed on your machine and follow the steps.1. Setup the packageOption A - Download from PyPI archivepipinstall-Ueli-paOption B - Download from GitHub archivepipinstallgit+http://github.com/AvaterClasher/eli.git:warning:: Eli is POSIX-friendly. For it to properly work on Windows please run Eli through a Wsl instance.2. Set theMINDSDB_EMAIL_ADDRESSenvironment variableOnce you got the package installed on your system, it's time to add theMINDSDB_EMAIL_ADDRESSenvironment variable. Create an account onmindsdb.com, train your GPT model and replace your email with<EMAIL>in the following options.> If you use the default bash shellecho"export MINDSDB_EMAIL_ADDRESS=<EMAIL>">>~/.bashrc> If you use ZSHecho"export MINDSDB_EMAIL_ADDRESS=<EMAIL>">>~/.zshrc:bulb:: Read the article for more information about training your MindsDB model.3. Set your MindsDB account passwordNow, it's time to set your account's password. Simply runeliwith the--authoption and enter your MindsDB account password.eli--authYou're all set to go. :)UsageUseelifollowed by your question and it'll process the phrase and responses back the content in Markdown.$ eli where is london located

London is the capital city of the United Kingdom and is located in the southeastern part of England, in the region known as Greater London.
It is situated along the River Thames and is one of the most populous and culturally significant cities in the world.$ eli tell me a programming joke

Why do programmers prefer iOS development over Android development?
Because on iOS, you only have to deal with one "byte."$ eli add annotations to this file: $(cat file.py)

To add annotations to the given Python function, you can include comments and
docstrings to provide more information about the function's purpose and usage.
Here's an example:

    def factorial(n):
    """
    Calculate the factorial of a non-negative integer.
    """
    if n < 0:
        raise ValueError("Factorial is not defined for negative numbers")
    return 1 if n == 0 else n * factorial(n - 1)

# Example usage:
number = 5
result = factorial(number)
print(f"The factorial of {number} is {result}")Tech StackToolsPythonInfrastructures & HostingMindsDBPyPILicenseEli is being licensed under theMIT License.
Package: elipy
ElipyPost-processing tool for ABINIT >= 9.8.1 aiming for calculation of energy-resolved Eliashberg functionDescriptionSince version 9.8.1 ABINIT provides easy-to-use methods within EPH package for the calculation of electron-phonon matrix elements on rectangular k- and q-point grids (optdriver 7, eph_task 11). The present package is a tool for calculation of electron-energy-resolved Eliashberg function on arbitrary electron and phonon grids.$$
\alpha^2 F(\epsilon,\epsilon',\omega)=\frac{1}{N_\mathbf{k}N_\mathbf{q}}\sum_{\mathbf{k}\mathbf{q}mn\nu}\left|g_{mn\nu}(\mathbf{k},\mathbf{q})\right|^2\delta(\epsilon_{\mathbf{k}n}-\epsilon)\delta(\epsilon_{\mathbf{k+q}m}-\epsilon')\delta(\omega_{\mathbf{q}\nu}-\omega)
$$The above-written definition does not include electron density of states at Fermi level. One needs to divide $\alpha^2 F$ over $N_F$ to get physically meaningful results.Project uses mpi4py for many-core parallelization and Numba for acceleration of procedures dealing with iteration over numpy arrays.Elipy is insipired byElectronPhononCouplingandAbipyprojects, and uses some of their utility functions. Apologies for code copy-pasting, it allows to keep dependency list as short as possible.Limitationsonly Gaussian smearing summation for delta functionsno account for spin of electron statesGetting StartedDependenciesNumpyScipynetCDF4Numbampi4pyThe actual versions of required packages are stored in pyproject.toml file.Installationpip install elipyALternatively, one can build code withPoetrypackage manager:git clone https://github.com/Radioteddy/elipy.git
cd elipy
poetry installExecuting programUse mpirun, mpiexec, srun,... for program executionmpiexec -n X python filename.py > out 2> errAuthorsFedor AkhmetovVersion History0.1.8collective communication for matrix elements replaced by p2p one0.1.7electron and phonon eigenvalues are taken from GSTORE0.1.6minor bugfixes and improvements0.1.5Working Release0.1.0Initial ReleaseAcknowledgmentsElectronPhononCouplingAbipy
Package: elirobots
Elite SDK For Python明天比今天更简单一点Always Easier Then Beforeelirobot是一个Python库,包含了艾利特机器人的EC系列机器人的SDK封装，用户即开即用，非常方便OverviewInstallationpipinstallelirobots# orpip3installelirobotsDocselirobots docsFeatures从复杂的底层通讯建立到开箱即用，只需要一条命令和几行代码面向对象设计，从而可以更轻松的控制多台机器人完善的日志输出，可以更轻松的debug将机器人的固有信息作为类的属性使用更简洁的接口设计，使您可以更快速的编写逻辑代码数据监控端口，也只是两行代码就可以看到所有的监控信息ChangeLog20220730movj和movl接口默认阻塞执行添加发送和接受消息的flag，便于用户查看实际进行通讯的报文内容添加圆弧移动指令20220518规范var接口文档持续更新中20220513发布v0.0.1文档持续更新中Feedback如果你发现了任何错误，请联系我们！！！If you find any errors, you can contact us by Github！！！github:https://github.com/JunJie-zhang-o/eliterobot.gitemail:tech@elibot.cn
Package: elisa-lib
ElisaAn efficient and fast library for spectral analysis in X/γ-ray astrophysics.Table of ContentsInstallationDocumentationLicenseInstallationThe package is still under heavy development, please DO NOT install it right now.The stable versionpip install elisa-libThe latest versionpip install git+https://github.com/wcxve/elisaDocumentationRead the documentation at:https://elisa-lib.readthedocs.ioLicenseelisais distributed under the terms of theGPL-3.0license.
Package: elisa-patch
Dependenciesunidecode
emoji
*kenlm
fuzzy
scikit-learn
pyxdameraulevenshteinpygtrie
numpy*Install kenlm wrapper from github:pipinstallhttps://github.com/kpu/kenlm/archive/master.zipUsage# Load english dictionaryenglish_vocab=load_english_vocab(...)english_vocab.update(load_english_vocab(...))# Load bilingual lexicon dictionaryforeign_dict=load_lexicon_norm(...)# Load target language modellm=kenlm.Model(...)# Train a ngram model if needed# ngram_train(foreign_dict, 'hin-tfidf-ngram_algo')# Ulf's romanizerromanizer=partial(romanize,romanization_path=...,language_code="hin")soundex_inst=fuzzy.DMetaphone()soundex_algo=lambdax:soundex_inst(x)[0].decode('utf-8')ifsoundex_inst(x)[0]isnotNoneelsexenglish_encoded_vocab={e:soundex_algo(e)foreinenglish_vocabife}# load the ngram modelngram_algo=pickle.loads(open(...,"rb").read())soundex_model=partial(soundex_similarity,encoded_english_vocab=english_encoded_vocab,romanizer=romanizer,soundex=soundex_algo)lev_model=partial(lev_similarity,backup=soundex_model)ngram_model=partial(ngram_similarity,model=ngram_algo,backup=lev_model)final_model=partial(exact_similarity,backup=ngram_model)forlineinopen(...):source,target=line.strip('\n').split('\t')oovs=extract_oov(target,source,english_vocab=english_vocab,romanization=True)best,mods=translate_oov(target,oovs,foreign_dict,final_model,lm.score)ifbest!=target:foroovinoovs:alt=list(mods[oov].keys())[0]trans=mods[oov][alt]debug.debug(f"{romanizer(oov)}->{romanizer(alt)}:{list(trans)}")debug.debug(best)debug.debug("*"*100)orpython-melisa_patch--help
Package: elisp
A simple package to parse Emacs Lisp expressions from Python.Simple Usage>>>importelisp>>>numbers=elisp.loads("(1 2 3)")>>>numbers.car1>>>numbers.cdr.cdr.car3>>>numbers.cdr.cdr.cdriselisp.NILTrueType MappingsThe following types are supported and are mapped to the respective
Python types.integertointfloattofloatsymboltoelisp.ELispSymbol, a subclass ofstrlist,constoelisp.ELispConsunibyte stringtobytearraymultibyte stringtounicode(without the\C-asyntax)vectortolistUnsupported TypesThe following types are not supported:Characters (like?aor?\C-f)Char-TableBool-VectorHash TableByte-CodeGrammarSee the file [elisp.ebnf](elisp/elisp.ebnf) for the grammar used by
this package.
Package: elit
The ELIT ProjectTheEmoryLanguageInformationToolkit orEvolution ofLanguage andInformationTechnology (ELIT) project provides:NLP tools readily available for research in various disciplines.Frameworks for fast development of efficient and robust NLP components.The project is initiated and currently led by theEmory NLPresearch group. It is under theApache 2license. Please join our group to get notifications about updates and send us your feedback.Installationpip install elitDocsPlease visit:https://elit.readthedocs.io/IssuesIf you have any question or want to report bugs, please let us know ongithub issues.ContributionWe appreciate contributions. If you want to contribute to ELIT, please be sure to read ourcontribution guidelinesfirst.To setup the development environment, please readdevelopment guidelinesLicenseApache License 2.0
Package: elita
Elita=====Elita is an engine/framework for continuous deployment (Deployment as a Service) and API-driven infrastructure utilizing gitand salt. Elita maps build packages to filesystem locations on an arbitrary number of remote servers and allows deployment(and more) via RESTful HTTP calls.(for more, see:  http://elita.readthedocs.org/en/latest/intro.html )Documentation=============*   http://elita.readthedocs.org/en/latestInstallation============*   http://elita.readthedocs.org/en/latest/install.htmlQuickstart==========*   http://elita.readthedocs.org/en/latest/quickstart.htmlMailing List============*   https://groups.google.com/d/forum/elita-usersIssues/Bugs===========*   https://bitbucket.org/scorebig/elita/issuesSource/Homepage===============*   https://bitbucket.org/scorebig/elitaSupport=======Problems?Email: ben@keroack.comGoogle Hangouts: ben@keroack.com (usually available 9am-7pm Pacific)0.64.1- Deployment list now has optional "details" parameter. If "true", all deployment detail will be included in output.- More logging for gitdeploy (de-)initialization.- Fixes for JSON patch support.0.64.0- All endpoints now support JSON Patch documents (RFC 6902) for the PATCH verb. This is the only way to (for example)remove nested object keys. See docs for details.- Added username of triggering user to Deployment object (GET /app/{appname}/deployment/{deployment_id})- Internal data layer reorganization, bug fixes
Package: eliteapi
eliteapieliteapi is a Python wrapper for Elite Creative allowing you to easly interact with the API.InstallationTo installeliteapi, run the following command into your terminal:pip install eliteapiExample UsagefromeliteapiimportEliteCreativeelite=EliteCreative('api-key')# Generate your API key at https://elitescrims.xyz/developerstats=elite.get_user_stats('user-id')print(stats)Methodsget_user_stats(user_id)- Return the users Elite Creative statisticsget_user_queue(user_id)- Returns information about the users queue (if they're queuing)in_game(user_id)- Whether or not the user is in an on going matchget_match_by_game_id(game_id)- Get a games statistics by it's game Idget_match_by_user_id(user_id)- Get a games statistics by one of the players (either player 1 or 2)get_team_by_team_id(team_id)- Return information about a team by it's Idget_team_by_user_id(user_id)- Return information about a team by either the captain or member's Idget_user_stats(user_id)Return the users Elite Creative statisticselite.get_user_stats('user-id')get_user_queue(user_id)Returns information about the users queue (if they're queuing)elite.get_user_queue('user-id')in_game(user_id)Whether or not the user is in an on going matchelite.in_game('user-id')get_match_by_game_id(game_id)Get a games statistics by it's game Idelite.get_match_by_game_id('game-id')get_match_by_user_id(user_id)Get a games statistics by one of the players (either player 1 or 2)elite.get_match_by_user_id('user_id')get_team_by_team_id(team_id)Return information about a team by it's Idelite.get_team_by_team_id('team-id')get_team_by_user_id(user_id)Return information about a team by either the captain or member's Idelite.get_team_by_user_id('user-id')
Package: elite-ec-sdk
Elite EC Series Python SDKIntroductionThere was no Python SDK for the Elite EC Series of Cobots, so I decided to make one. This SDK is based on the ELITE ROBOTS EC Series Programming Manual, provided by Elite Robots. The official manual provides functions that establish socket communication for controlling the robot. This SDK is the more pythonic version of the official manual.UsagePlease insure that the robot is in remote mode when using this SDK.You can instantiate a robot class for each robot, the robot class requires IP address at the time of object creation.warehouse_bot=Robot("192.168.0.1")You need to follow these steps to send commands to the robot.Instantiate a new robot object with IP and Port (by default Robot class uses Port 8055).Make connection to the robot.Send commands to the robot using the execute function or set variables using setVariable function.After usage is over, You should ideally disconnect the robot using disconnect function.Example Programimportrobotwarehouse_bot=Robot("192.168.0.1")# Connect to the robotconnection,message=warehouse_bot.connect()print(message)ifconnection:# Accessing the value of System Variable B at address 1_,result=warehouse_bot.getVariable("SysVarB",1)print("Value of SysVarB at addr 1: ",result)# Executing pause_trajectory command mentioned in the Programming Manual_,result=warehouse_bot.execute("pause_trajectory")print(result)# Disconnection the robotresult,message=warehouse_bot.disconnect()print(message)Further DevelopmentThis SDK was made for the sole purpose of making my projects using this robot, easy to read and understand, the official "SDK", requires many lines of code to be written each time and it is difficult to understand.
Package: eliteprospect-scraper
eliteprospect_scraperPackage to scrape hockey data from eliteprospect.Please only use collected data for personal use - there are real APIs for professional usage of eliteprospects data.Getting startedPackage can be installed with pippip install eliteprospect_scraperIn python, import module withimport eliteprospect.eliteprospect_scraper as epSee description of functions in package withhelp(ep)Functions can be used together and input and output is linked.FunctionsDescription of functions contained in package. Ordered ingetPlayers(league, year)Get all players for specific year and league; returns dataframe.League: valid leaguefrom eliteprospectsyear: valid combination of year in format 2015-16, 2016-17 etc.Example:getPlayers('shl', '2015-16')getPlayerMetadata(dfplayers)Create dataframe with metadata by players.Input is dataframe created with function getPlayersgetPlayerStats(playerlinks)Create dataframe with all statisticsfrom playerpages.Takes series of playerlinks as input. Playerlinks are also included in return output fromgetPlayerMetadataep.getPlayerStats(["https://eliteprospects.com/player/2050/mattias-ritola"])dataprep_players(playerstats, league_mapping, players):help(ep)dataprep_players(playerstats, league_mapping, players)
Takes series of playerlinks to eliteprospect-profiles,
Return dataframe with stats by player and seasonHow to useSeethis notebookfor examples of how to use the package, and in what order you can run the functions.eliteprospect_scraperPackage to scrape hockey data from eliteprospect
Package: elit-morph-analyzer
ELIT Morphological AnalyzerELIT(Emory Information and Language Technology) features an English morphological analyzer that provides a comprehensive mophological analysis using inflection and derivation rules.
This project is led by theEmory NLP Research Laboratoryand under theApache 2.0license.Latest release:1.0(05/19/2022)InstallationPython 3.7 or higher is recommended:pip install elit_morph_analyzerDocumentationEnglish Morphological AnalyzerContactJinho D. Choi
Package: elit-tokenizer
ELIT TokenizerELIT(Emory Information and Language Technology) features several tokenizers
to split text into a sequence of tokens and segment them into sentences.
This project is led by theEmory NLP Research Laboratoryand under theApache 2.0license.Latest release:1.0(10/15/2021)InstallationPython 3.7 or higher is recommended:pip install elit_tokenizerDocumentationsSpace TokenizerEnglish TokenizerContactJinho D. Choi
Package: eli-utils
eli_utilsInstallpipinstall'git+https://github.com/elifriedman/eli_utils.git'How to usePlotting UtilsfromPILimportImageimportnumpyasnpfromeli_utilsimportimshow,image_gridimage1=Image.open("file1.png")image2=np.zeros((128,128,3))image3=np.ones((128,128,3))imshow(image3)image_grid([image1,image2],shape=(2,1))IO Utilsfromeli_utilsimportload_json,save_jsonmy_dict={"a":1,"b":2}save_json(my_dict,'file.json')loaded_dict=load_json('file.json')Video Utilsfromeli_utilsimportget_video_properties,load_framesframes=load_frames("myvideo.mp4")frame_count,fps,duration=get_video_properties("myvideo.mp4")