Saravanan666/pypi-org huggingface dataset:
Package: code-indexer-loop
Code Indexer LoopCode Indexer Loopis a Python library designed to index and retrieve code snippets.It uses the useful indexing utilities of theLlamaIndexlibrary and the multi-languagetree-sitterlibrary to parse the code from many popular programming languages.tiktokenis used to right-size retrieval based on number of tokens andLangChainis used to obtain embeddings (defaults toOpenAI'stext-embedding-ada-002) and store them in an embeddedChromaDBvector database.watchdogis used for continuous updating of the index based on file system events.Read thelaunch blog postfor more details about why we've built this!Installation:Usepipto install Code Indexer Loop from PyPI.pip install code-indexer-loopUsage:Import necessary modules:fromcode_indexer_loop.apiimportCodeIndexerCreate a CodeIndexer object and have it watch for changes:indexer=CodeIndexer(src_dir="path/to/code/",watch=True)Use.queryto perform a search query:query="pandas"print(indexer.query(query)[0:30])Note: make sure theOPENAI_API_KEYenvironment variable is set. This is needed for generating the embeddings.You can also useindexer.query_nodesto get the nodes of a query orindexer.query_documentsto receive the entire source code files.Note that if you edit any of the source code files in thesrc_dirit will efficiently re-index those files usingwatchdogand anmd5based caching mechanism. This results in up-to-date embeddings every time you query the index.ExamplesCheck out thebasic_usagenotebook for a quick overview of the API.Token limitsYou can configure token limits for the chunks through the CodeIndexer constructor:indexer=CodeIndexer(src_dir="path/to/code/",watch=True,target_chunk_tokens=300,max_chunk_tokens=1000,enforce_max_chunk_tokens=False,coalesce=50token_model="gpt-4")Note you can choose whether themax_chunk_tokensis enforced. If it is, it will raise an exception in case there is no semantic parsing that respects themax_chunk_tokens.Thecoalesceargument controls the limit of combining smaller chunks into single chunks to avoid having many very small chunks. The unit forcoalesceis also tokens.tree-sitterUsingtree-sitterfor parsing, the chunks are broken only at valid node-level string positions in the source file. This avoids breaking up e.g. function and class definitions.Supported languages:C, C++, C#, Go, Haskell, Java, Julia, JavaScript, PHP, Python, Ruby, Rust, Scala, Swift, SQL, TypeScriptNote, we're mainly testing Python support. Use other languages at your own peril.ContributingPull requests are welcome. Please make sure to update tests as appropriate. Use tools provided withindevdependencies to maintain the code standard.TestsRun the unit tests by invokingpytestin the root.LicensePlease see the LICENSE file provided with the source code.AttributionWe'd like to thank the Sweep AI for publishing their ideas about code chunking. Read their blog posts about the topichereandhere. The implementation incode_indexer_loopis modified from their original implementation mainly to limit based on tokens instead of characters and to achieve perfect document reconstruction ("".join(chunks) == original_source_code).
Package: code-ingest
RACTF Code Ingest serverThis is the code ingest and execution server for RACTF.This runs code in a time-limited, offline docker container and returns the results.It's written to meet a specific set of requirements and work in conjunction with a webapp front end.Prerequsites & SetupPython 3.9.1 or above with pipPyenv installed (optional)Poetry installedLinux distro, ideally something Debian/Ubuntu basedDockerinstalledon hostIf you don't have the required python version (3.9.1 as of writing), installpyenvwith basic checkout.
Then install the build dependencies, which is listed on thewikiAdd the following lines to your~/.bashrcfile (assuming you haven't done so from the pyenv guide):# Pyenv installationif[[-z"$VIRTUAL_ENV"]];thenexportPATH="$HOME/.pyenv/bin:$PATH"eval"$(pyenvinit-)"fiIf you have a different shell, follow the pyenv install guide. Pyenv isn't mandatory if you have the correct version.Next, installpoetrywith their suggested way, as this is necessary for the installation.curl-sSLhttps://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py|pythonNote: Poetry requirespythonso if you don't havepython2you can soft linkpython3:sudo ln -sf $(which python3) /usr/local/bin/pythonInstallation & DeploymentClone the repo and change directory into it:Builds are available from PyPi, just dopython3 -m pip install code-ingest.Deploy withingest_serverand run basic tests withingest_tests.Alternatively if you want to install inside an env:gitclonehttps://gitlab.com/ractf/code-ingest.gitcdcode-ingest# If you're deploying for production.poetryinstall--no-dev
poetryshell# <Set your environment variables here># Remove the docker image every time you want it to be rebuilt.dockerrmish3llcod3/code-ingest# If you've not deployed in a while.ingest_server# If you're interested in making changes.poetryinstall
poetryshell
python-mcode_ingestYou should be able to use any virtualenv realistically.The full documentation of environment variables, endpoints, etc can be found in thedocsIssuesIf you encounter a bug, please create an issue stating with as much possible detail:Your set-upThe bugAny steps taken
Package: codeink
CodeInk is a Python source code analyzer focused on complexity and interrelation of modules.CodeInk draws the ihnerent relations of your modules along with their complexity and
maintanability indexes in a beautiful graph powered by D3.js.drawing of radon v1.2hover over a rounded rectangle to check which module is ito.O?the animations that CodeInk creates are base on:symbols:squares = modules,circle = Python,cross = target module,class = diamond,function =triangle-up,method =triangle-downlines: each line represents an importcolor: module maintainability indexgreen = :)–>red = :(size: ciclomatic complexitysmall = :)–>big = :(hint: if A imports B, and B imports C, then A imports B and C, right?A –> B, B –> C, A –> B & Cinstallwith pip:pip3 install codeinkmanually:git clone https://github.com/carocad/CodeInk.git
python3 setup.py installusagedraw a package structure:codeink draw /path/to/projecttrace a module’s imports:codeink trace /path/to/module.pycheck who imports a module:codeink blame /path/to/module.pyget an overview of a module:codeink portrait /path/to/module.pyrequirementspython v2.6 - v3.4docopt v0.6.2networkx v1.9.1radon v1.2astunparse v1.2D3.js(used automatically in the html head)notesIn order to use CodeInk you must make sure that your python version uses the same syntax as the code that you are analyzing i.e. analyzing a code written with Python v2.7 syntax while using Python v3.x will result in an error.
Package: codeium-jupyter
Installationpip3 install codeium-jupyter --user
jupyter nbextension install --py codeium --user
jupyter nbextension enable --py codeium --user
jupyter serverextension enable --py codeium --userWhat is CodeiumCodeiumis the modern coding superpower, afreecode acceleration toolkit built on cutting edge AI technology.
Currently, Codeium provides code completion tool in over 20+ languages,
with lightning fast speeds and state-of-the-art suggestion quality.There are many parts of the modern coding workflow that are boring,
tedious, or frustrating, from regurgitating boilerplate to poring
through StackOverflow. Recent advances in AI allow us to eliminate these
parts, making it seamless to turn your ideas into code. With easy
integration into Visual Studio Code and a less than 2 minute
installation process, you can focus on being the best software
developer, not the best code monkey.With Codeium, you get:Unlimited single and multi-line code completions foreverSupport for 20+ programming languages: Javascript, Python,
Typescript, PHP, Go, Java, C, C++, Rust, Ruby, and more.Support through ourDiscord
CommunityJoin thousands of other developers who are using Codeium for free to
accelerate their software iteration process, improve their code quality
and consistency, reduce the number of code review iterations, accelerate
developer onboarding, and keep them in their flow state. Want to learn
more? Check out ourFAQ.Support, Feedback, and CommunityWe are actively working on improving the quality of the extension.
Please feel free to report any issues, suggestions, or exciting /
interesting suggestions inour active Discord
community!We hope you enjoy Codeium, your modern coding superpower!
Package: codejail-includes
CodeJail manages execution of untrusted code in secure sandboxes. It is designed primarily for Python execution,
but can be used for other languages as well.Documentation(TODO:Set up documentation)Development WorkflowOne Time Setup# Clone the repository
git clone git@github.com:openedx/codejail-includes.git
cd codejail-includes

# Set up a virtualenv using virtualenvwrapper with the same name as the repo and activate it
mkvirtualenv -p python3.8 codejail-includesEvery time you develop something in this repo# Activate the virtualenv
workon codejail-includes

# Grab the latest code
git checkout main
git pull

# Install/update the dev requirements
make requirements

# Run the tests and quality checks (to verify the status before you make any changes)
make validate

# Make a new branch for your changes
git checkout -b <your_github_username>/<short_description>

# Using your favorite editor, edit the code to make your change.
vim …

# Run your new tests
pytest ./path/to/new/tests

# Run all the tests and quality checks
make validate

# Commit all your changes
git commit …
git push

# Open a PR and ask for review.LicenseThe code in this repository is licensed under the AGPL 3.0 unless
otherwise noted.Please seeLICENSE.txtfor details.How To ContributeContributions are very welcome.
Please readHow To Contributefor details.
Even though they were written withedx-platformin mind, the guidelines
should be followed for all Open edX projects.The pull request description template should be automatically applied if you are creating a pull request from GitHub. Otherwise you
can find it atPULL_REQUEST_TEMPLATE.md.The issue report template should be automatically applied if you are creating an issue on GitHub as well. Otherwise you
can find it atISSUE_TEMPLATE.md.Reporting Security IssuesPlease do not report security issues in public. Please emailsecurity@edx.org.Getting HelpIf you’re having trouble, we have discussion forums athttps://discuss.openedx.orgwhere you can connect with others in the community.Our real-time conversations are on Slack. You can request aSlack invitation, then join ourcommunity Slack workspace.For more information about these options, see theGetting Helppage.Change LogUnreleased[1.0.0] - 2022-05-17AddedFirst release on PyPI.codejail includes moved from edx-platform to individual pypi package.
Package: codel
Codel 🍲Count lines of your code tastefully.Getting startedBefore you start you should install:Python 3.xpipInstallationEnter this in your terminal:pipinstallcodelUsageTo count lines of files with extensions.py.cppand.henter this in your terminal:codelcount-e.py.cpp.hTo ignore files or folders use-iflag:codelcount-e.py-itest/**ConfigurationIt's possible to set default's for folder so you can use codel without flags. To manage your folder configuration useconfigcommand:codelconfig-e.py-itest/**If you want to apply the configuration globally you should use-gflag:codelconfig-g-e.py-itest/**LicenseMITContributionSeeCONTRIBUTING.mdfor more details about contributing.RemarkThis is coddle. I didn't know that before I started to develop this project. Bon appetit😘
Package: codelab-adapter-client
codelab_adapter_clientPython Client of CodeLab Adapter(https://adapter.codelab.club/) v2.Installpip install codelab_adapter_clientUsagefrom codelab_adapter_client import AdapterNodeexamplehttps://github.com/wwj718/codelab_adapter_client/blob/master/examples/extension_eim.pyFeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History4.1.7 (2021-03-16)2.1.3 (2020-11-25)2.1.2 (2020-10-29)2.1.1 (2020-10-18)2.1.0 (2020-10-15)2.0.3 (2020-10-15)2.0.2 (2020-09-30)2.0.1 (2020-09-26)2.0.0 (2020-09-24)1.9.1 (2020-08-29)1.9.1 (2020-08-14)1.9.0 (2020-08-14)1.8.1 (2020-07-11)1.8.0 (2020-07-05)1.7.4 (2020-05-10)1.7.3 (2020-05-10)1.7.2 (2020-05-10)1.7.1 (2020-05-10)1.7.0 (2020-05-10)1.6.2 (2020-05-06)1.6.1 (2020-05-06)1.6.0 (2020-04-16)1.5.0 (2020-04-09)1.4.0 (2020-04-07)1.3.0 (2020-04-07)1.2.0 (2020-04-06)1.1.0 (2020-04-03)1.0.1 (2020-03-25)1.0.0 (2019-10-01)0.9.8 (2019-09-11)0.9.4 (2019-08-28)0.9.3 (2019-08-21)0.9.2 (2019-08-20)0.9.1 (2019-08-18)0.9.0 (2019-08-17)0.8.2 (2019-08-16)0.8.1 (2019-08-16)0.8.0 (2019-08-16)0.7.1 (2019-08-09)0.7.0 (2019-08-08)0.6.0 (2019-07-30)0.5.0 (2019-07-27)0.4.1 (2019-07-24)0.4.0 (2019-07-24)0.3.1 (2019-07-21)0.3.0 (2019-07-21)0.2.0 (2019-07-21)0.1.0 (2019-07-03)First release on PyPI.
Package: codelab-adapter-mqtt-client
codelab_adapter_mqtt_clientmqtt client for codelab_adapterFree software: GNU General Public License v3Documentation:https://codelab-adapter-mqtt-client.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2019-08-09)First release on PyPI.
Package: codeless
codelesscodeless is a Python module for machine learning built on top of imbalanced-learn, matplotlib, numpy, pandas,  codeless, scipy, seaborn and is distributed under the MIT license.The project was started in 2020 by Arun Kumar Nath to improve machine learning skills.Website:https://codeless.orgInstallationDependenciescodeless requiresPython (>= 3.6)Imbalanced-learn (>=0.7.0)Numpy (>=1.18.5)Pandas (>=1.1.3)SciPy (>=1.4.1)codeless plotting capabilities (i.e. functions start with Plot ) require Matplotlib >=3.3.0. A few examples require pandas >=0.1.8, some examples require seaborn >=0.10.1.User installationIf you already have a working installation of numpy and scipy, the easiest way to install  codeless is using pippip install  codelessThe documentation includes more detailed installation instructions.ChangelogSee the changelog for a history of notable changes to  codeless.DevelopmentI welcome new contributors of all experience levels. The codeless community goals are to be helpful, welcoming, and effective. For any contribution please visit linkedIn:https://www.linkedin.com/in/arun-kumar-nath-686721152/. I have included some basic information in this README.Important linksOfficial source code repohttps://github.com/porky5191/CodelessLibrary/Download releaseshttps://pypi.org/project/codeless/Source codeYou can check the latest sources with the command:
git clonehttps://github.com/porky5191/CodelessLibrary.gitContributingTo learn more about making a contribution to codeless, please visit the above mentioned LinkedIn.Project HistoryThe project was started in 2020 by Arun Kumar Nath to improve machine learning skills.The project is currently maintained by Arun Kumar Nath.Help and SupportDocumentationhttps://drive.google.com/drive/folders/1sppPT4rLCLHlugAmQuXk0rIFnHQhXyp4?usp=sharingFAQhttps://www.linkedin.com/in/arun-kumar-nath-686721152/CommunicationMailing list:arunnath792@gmail.comCitationIf you use  codeless in a scientific publication, we would appreciate citations:https://pypi.org/project/codeless/#citing- codelessChange Log0.0.4 (01/12/2020)Fourth Release0.0.5 (01/12/2020)Fifth Release
Package: codeless-django
CodeLess-DjangoCodeLess-Django is a Django app to develop django apps without writing code. Developers can create apps and models from a web page where all the models field types and options are placed in front of developers eyes . CodeLess-Django will take care of adding apps to settings file, creating generic views and api views etc.
Detailed documentation is in the "docs" directory.Quick startAdd "codeless-django" to your INSTALLED_APPS setting like this::INSTALLED_APPS=[...'codeless_django',]Include the polls URLconf in your project urls.py like this::path('codeless-django/',include('codeless_django.urls')),Start the development server and visithttp://127.0.0.1:8000/codeless-django/to create apps and models.
Package: codelimit
Code LimitYour Refactoring Alarm 🔔IntroductionCode Limit is a tool for developers with one goal:it tells the developer when
it’s time to refactor.Check out thedocumentationand start
using Code Limit today to keep your code maintainable.QuickstartDepending on your development workflow, Code Limit can run in many different
ways (e.g.: pre-commit hook, GitHub Action, standalone, etc.). See theQuickstart documentationfor
examples.Standalone usageCode Limit can run as a standalone program to check and inspect a codebase, see
theStandalone Usage documentationto get started.ConfigurationCode Limit aims to be zero-configuration. However, sometimes the exception
proves the rule. Check out theConfiguration
documentationfor all
configuration options.DevelopmentSee theDevelopment
documentationif you want to
extend or contribute to Code Limit.Feedback, suggestions and bug reportsIf you have suggestions for how Code Limit could be improved, or want to report
a bug,open an issue! All
and any contributions are appreciated.To show your project uses Code Limit place this badge in the README markdown:![Checked with Code Limit](https://img.shields.io/badge/Code%20Limit-checked-green.svg)](https://github.com/getcodelimit/codelimit)LicenseISC© 2022 Rob van der Leekrobvanderleek@gmail.com(https://twitter.com/robvanderleek)
Package: codelinescounter
codelinescounterPython library for counting lines of python code in file or directoryУстановкаЧерез Pip$pipinstallcodelinescounterВручную$gitclonehttps://github.com/AndK17/codelinescounter$cdcodelinescounter$pythonsetup.pyinstallИспользованиеУкзываете один или несколько путей через пробел, если не указать путь подсчет будет происходить в текущей директории$python-mclc{pathtofileordirectory}
Package: codelink
CodelinkCodelink is a node-based visual programming environment that can be easily and flexibly integrated intoPySide2applications as a widget. With Codelink, functions (so-called nodes) can
be logically linked to each other via wires, as in flowcharts, to create directed node graphs that can be used to
perform complex calculations or control other programs. A main application area is node-based modeling of 3D geometries
with the parametric CAD softwareFreeCAD.It provides:customizable nodes, sockets and data typesframing and commenting nodessub-graphs and group nodessocket optionsvalidation node connections (links)full undo/redo implementationframework for node developereasy integration inPySide2applicationsmade forFreeCADInstallationBinary wheels forcodelinkare available onPyPI.pip install codelinkRunAfter installing Codelink viaPyPIstart your Python interpreter and run the following commands:>>> import codelink.path_loader
>>> from codelink.app import main
>>> main()If you want to run Codelink from withinFreeCAD, execute the following commands in the
integrated Python interpreter:>>> import codelink.path_loader
>>> from codelink.app_fc import main
>>> main()
Package: codemagic
[[TOC]]OverviewWith the magic ofCodemagic, you can build, test, and publish Flutter apps with zero configuration and run builds in controlled environments using custom workflows. If you have a native Android, iOS, or React Native app, Codemagic has got your back, just use the codemagic.For more information, visit theCodemagic api docssetup guide.InstallationTo install Codemagic Python SDK, simply execute the following command in a terminal:pipinstallcodemagicUsageFirst of all you need to get token. The access token is available via the Codemagic UI inUser settings > Integrations > Codemagic API > Show.Create Codemagic instancefromcodemagicimportCodemagic,Build,BuildStatuscodemagic=Codemagic(token=token)Createbuild.build:Build=codemagic.start_build(app_id=app_id,workflow_id=workflow_id,branch=branch,environment=environment)ifbuild.status==BuildStatus.QUEUED:print("Build request start success.")Getlist build. You can filterbuildsbase on parameters.builds:[Build]=codemagic.list_of_builds()Getdetails of build.build:Build=codemagic.get_build(pk=pk)Supported Python VersionsWe currently support Python 3.6+.TODO[] DocumentationDevelopLicenseThe MIT License (MIT). Please seeLicense Filefor more information.
Package: codemaker
codemakerUtils to easily generate code, speed up your workflow.Usagequick start# Assume we are going to create a python package (which can be uploaded to pypi.org adn be installed using pip) named foopkg# 1. Export the template files for a normal python package project.pip3installcodetmpl
codetmplexportpypkgfoopkg# 2. Edit file foopkg/maker.yml, fill in some information such as author and package name# 3. Make your project code from template,cdfoopkg
codemakermake
Package: codeme
CodeME is a python tool through which you can autocomplete your code just by asking it. It takes help from chatGPT to acomplish it and do changes in your existing code.Authors@neetishsinghHow to runBest part of CodeME is you just need two lines of code to initiate it.1.To install CodeME python package.pipinstallcodeme2.Now start the apppython-mcodeme<filenamewithextension>Note: The only requirement to take benifit of this sharing framework in that you need to have python installed.DemoIn the working file add#in a new line and write your command as#commandand save it.Example:#write a python program for adls databricks connectionNow in terminal in the same working directory write a commandpython -m codeme <filename with its extension>Aladdin will come out and will write code for you. Woah!There is a lot more optimization and things coming whose screenshot will be added soonNote: This will code for any coding language even it can write anything for you as it involved chat gpt features.ContributingContributions are always welcome!Lets connect and discuss your ideas and scope of improvementPlease adhere to this project'scode of conduct.SupportFor support, emailneetishsingh97@gmail.comor call me at +91-9643046366.
Package: codemelli
CodeMelliPython package to validate/generate iranian national IDUsage>>>importcodemelli# Validate a real codemelli>>>codemelli.validator(2833411839)True# Validate a fake codemelli>>>codemelli.validator(3235632189)False# Generate a random valid codemelli>>>codemelli.generator()6615365987# Generate a random codemelli with a defined city code>>>codemelli.generator(223)2239832630# Lookup city and state of a valid codemelli>>>codemelli.lookup(2239832630){'city':'بندرترکمن','state':'گلستان'}Free software: MIT licenseDocumentation:https://codemelli.readthedocs.io.