Saravanan666/pypi-org huggingface dataset:
Package: hello-g
backend-moduleMain backend module, which is used for developing web-app logic and deploying AI model.Usage - Phase 1Step 1:Install and updateDockerandDocker Compose.Step 2:Put the desired model into your app with the following path:ml\model\<model_name>Step 3:Config model name as an environment variable in.envfile.Step 4:Build and run docker$ docker-compose build
$ docker-compose up -dUsage - Phase 2We develop a RESTful web controller into a reusable library between many AI models. With these functionalities:Input model,Define data input,logging,exception handler.InstallingDelivering and versioning as aPyPipackage.
Install and update usingpip:$ pip install annhub-pythonA simple examplefromannhub_pythonimportPyAnnpyann=PyAnn()# Define the expected AI modelpyann.set_model("D:\ARI\ANSCENTER\TrainedModel_c++.ann")# Define which model ID will be usedpyann.set_model_id(5122020)# Define the input corresponding to the choosen modelpyann.set_input_length(4)if__name__=="__main__":pyann.run(host="0.0.0.0",port=8080,debug=False)APIThe library will product two APIs:health checking,predictingas well as aSwagger UIfor API documentation.GET: /api/v1/health
POST: /api/v1/predict
Package: hello-gh-actions
TemplateThis is a template repository for building Python packages. It allows you to quickstart
your Python package.Using itClick onUse this templateCustomize a couple files:Rename directory./hello_gh_actions/to your desired package nameAlso change./hello_gh_actions/__init__.pyaccordinglyReplace project details in./setup.cfgAdd your name in./LICENSECreate an account onreadthedocsand connect this repositoryCreate an account onPyPIand generate an API-Key for your projectGo to your repositories "Settings -> Secrets" page and add thePYPI_API_KEYsecret with the key you received from PyPI.Below is a README template for your project, so remove everything above this line.Hello GitHub Actions!TODO: CHANGE BADGE URLS AFTER FORKINGDocumentation:https://hello-gh-actions.readthedocs.ioPyPI:https://pypi.org/project/hello-gh-actionsGetting startedInstallation via pip:pip install hello_gh_actionsUsing the fizzbuzz:>>> from hello_gh_actions.fizzbuzz import fizzbuzz
>>> fizzbuzz(35)
'fizzbuzz'
Package: hello-googoo
hello-googooGoogle Search CLI utilityBrought to you by"Goo-Goo Grandma"Installationpipinstallhello-googooUsageusage:googoo[-h][-pPAGES][-qQUERY]SearchGoogle&PrintUrlsInTheCommandLine

optionalarguments:-h,--helpshowthishelpmessageandexit-pPAGES,--pagesPAGESNumberofpages-qQUERY,--queryQUERYSearchquerystring
Package: helloheart-airflow-utils
HelloHeart Airflow UtilitiesUseful utilities for Apache Airflow, courtesy of HelloHeart.It supports Python 3.6 - 3.8.InstallationInstall latest releaseLatest release are uploaded to PyPi, install using pip:pipinstallhelloheart-airflow-utilsInstall from source to use latest development versionInstall latest development version, clone the repository and install using Poetry:gitclonehttps://github.com/Hello-Heart/helloheart-airflow-utilscdhelloheart-airflow-utils
poetryinstallRunning the testsSingle Python version testingFor testing a single Python version, use pytest (after installing from source):pytesttestsMultiple Python versions testingFor testing multiple Python versions, use tox:tox
Package: hello-hello
devcon-exExample of using dev containers in VS code editorOficial docs linkSet upInstall DockerInstall VS codeInsatll VSextensionsCreate configuration file .devcontainer/devcontainer.jsonUseful extensions:njpwerner.autodocstring - VSCode Python Docstring Generatorms-python.python - Python extension for Visual Studio Coderedhat.vscode-yaml - YAML Language Support by Red Hatmohsen1.prettify-json - Prettify ugly JSON inside VSCodems-azuretools.vscode-docker - The Docker extensionCoenraadS.bracket-pair-colorizer - Bracket Pair Colorizermutantdino.resourcemonitor - Resource Monitor
Package: hello-hxhkim
hello-hxhkimIntroducing Hahyun Kim.View at:https://pypi.org/project/hello-hxhkim/INSTALL$pipinstallhello-hxhkimUSEDEV$gitclone...
$cdhello-hxhkim
$pdmvenvcreate
$source.venv/bin/activate(hello-hxhkim-3.8)$pdminstallTEST$source.venv/bin/activate(hello-hxhkim-3.8)$pdminstall
$pdmadd-dGtestpytestpytest-cov
$pytest
$pytest-s
$pytest--covDEPLOY$pdmpublishCONTRIBUTINGVERSIONS0.1.0 whoau
0.2.0 add name func
Package: hello-image
Flask-ShareCreate social share component in Jinja2 template based
onshare.js.LinksDocumentationPyPIScreenshotScreenshot2.. image::https://raw.githubusercontent.com/hadi-muhammad/hello_image/master/images/pyplatform.pngScreenshot3Test ImageLicenseThis project is licensed under the MIT License (see theLICENSEfile for details).Test Image5
Package: hello-juanmosh
helloDescription.
The package package_name is used to:
- Hello world!
-InstallationUse the package managerpipto install package_namepipinstallhello_juanmoshUsagefromhello_juanmosh.hello_juanmoshimporthello_juanmoshhello_juanmosh("your name")AuthorJuanLicenseMIT
Package: hello_jupyter_proxy
This is a demo package showing how to run a web app throughJupyter Server Proxy.This mechanism allows a user to run a separate web app through JupyterHub.
To try it, install this package into the same Python environment which is
used to launch your single-user server:pip install hello_jupyter_proxyIf your server is already running use the JupyterHub control panel
(/hub/home) to stop and start it. You should have a new ‘hello’ option in
the ‘New’ menu (classic notebook) or the launcher (Jupyterlab). You can also
go directly tohttps://(your-jhub-server)/user-redirect/hello/.Building applications to proxyThis is meant as a starting point for building useful applications to run in
Jupyter Server Proxy. Seethe JSP docsand especially theexamples pagefor more information.For real web applications in Python, you will want a web framework rather than
the low-levelhttp.servermodule. There are many choices, butTornado(used by Jupyter) andFlaskare two well known ones.Security: Once user A launches your application through Jupyter, it is
listening on a TCP port, and user B can also connect to it and send requests.
You might want to consider:Limiting what the application can do and what information it can retrieve, so
accessing another user’s server is not too dangerous.Listening only on localhost (as in this example), to limit access to only
users who can log into the same machine.Finding some way to verify that the user sending the request matches the user
which the application is running as.Which measures make sense will depend on your application and the environment
in which you expect to use it.
Package: hello-linker
HelloLinkersocketio-pythonref siteQuick Socket.IO TutorialSamplefromhello_linker.kaminetimportKamiNetimporttimedefrcv_msg(event,msg):ifevent=='connect':print(msg)elifevent=='message':print(msg)else:print('no event handler:',event)net=KamiNet("192.168.1.21")net.connect(rcv_msg)whileTrue:time.sleep(2)net.send({'type':'coords','coords':[[100,200],[100,200]]})
Package: helloLucile
M1-2022-gitIntroductionThis repository is a fork from the previous repository.
The bugs in the converter have been fixed and now we want to publish our work as a publicly available python package.Getting startedYou should be working fromyour own repositorythat is a fork of M1-2022-git-workflow.
In order to run this project, you will have to follow these steps.Clone this projectmove into the project foldercdM1-2022-git-workflowSet up a virtual environmentCreate the virtual environmentpython-mvenvmyvenvActivate venv.venv/bin/activateInstall pytestpipinstall-UpytestExecute main scriptpythonmain.pyInstructionsMerge feature branch into devNow that the converter has no more bugs, we want to merge our branch feature into the dev branch.
We will do a pull request (on your own repo). On GitHub, go to the "Pull requests tab" and click "New pull request".
Selectbaseandcompare. Remember : we want to mergedecimal-binary-converterintodev.
Then,Create the pull request. Add some description of the work you have done and publish the Pull Request.Note: We could have just mergedecimal-binary-converterintodevfrom the command line. However, when working on a real project, you probably won't have the rights to do so. Remember : dev is a public branch. So all the work going down there should be carefully reviewed and tested.Publish your workWe now have an awesome binary/decimal two ways converter ! It's time to publish it so the rest of the world can enjoy it !
We will publish it on PyPI (Python Package Index) which is a public repository of softwares for Python.First, you have to create an account onPypi.orgThen, in your repository, you will find a.github directoryInside this directory, you will find .yml files that defines workflows (using GitHub actions)Open the yml files and take time to understand them. Do not hesitate to ask the teacher about themHands on !We want to create a workflow that will, on publish, test our code and if tests succeed, then publish our package on PyPIIn GitHub, click on theActionstab, then click onnew workflowChoose among the suggestions the template that best suits your use-case and clickConfigureYou may find some useful informations in thePython documentationWhen creating a release on GitHub, do not forget to create a tag corresponding to that releasePull requestOnce the workflow is setup and tested (you have published your package using it) you can open a pull request to theoriginal repository
Package: hello-memoryview
About hello-memoryviewThis is an example usage of the new-style buffer API
available in Python 2.6.RequirementsLinuxPython2.6+numpyargparse(required for Python versions 2.6, 3.0, and 3.1)UsageTo run the demo using the slow python code:$ hello-memoryviewTo run the demo using the faster C extension:$ hello-memoryview --fastTo advance the state by one step press ‘n’.
To advance the state by multiple steps press ‘<k>n’
where <k> is some number, possibly with multiple digits.
For example, typing ‘99n’ will advance the state by 99 steps.
To quit, press any key that is not ‘n’ and is not a digit.
Package: hello-mnv
{\rtf1\ansi\ansicpg1252\cocoartf2509
\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
{*\expandedcolortbl;;}
\paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0
\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0\f0\fs24 \cf0 this is a simple package which just prints hello on your screen and does nothing else.!!!}
Package: hellomoon
Hello Moon Python SDKPython SDK for interacting with theOfficial HelloMoon APIs - https://hellomoon.readme.io/.InstallationInstalling Using PIP (Recommended)pipinstallhellomoonInstalling from SourceClone the repository:git clone https://github.com/vmpyre/hellomoon_sdk.gitChange into the project directory:cd hellomoon_sdkInstall the dependencies:pip install -r requirements.txtUsageFirst, import the SDK's classes for the APIs you'd like to use.>>fromhellomoonimportNFTSummaryThen, create instances of the classes to interact with the corresponding API endpoints (in this case the NFT class):>>nft_api=NFT("<API_KEY_HERE>")Generate your API Key from here:https://hellomoon.readme.io/reference/get-your-api-keyFor example, you can use thecollection_stats()method of theNFTSummaryclass to retrieve descriptive statistics of NFT collections:>>solana_monkey_business="d515305e2b1de0026b5bf49fbb12e107>>nft_api.collection_stats(helloMoonCollectionId=solana_monkey_business)That's it!Response:{"data":[{"name":"Solana Monkey Business","helloMoonCollectionId":"d515305e2b1de0026b5bf49fbb12e107","slug":"solana-monkey-business","supply":"5000","currentOwnerCount":"2790","avgPriceSol":"232.073169","volume24Hr":"1856.585355","volumeChange24Hr":"0.511200","marketCapSol":"1158741.332817","averageWashScore":"7.0574","listingCount":"366","mintPriceMode":null,"narrative":null}],"paginationToken":"eyJuYW1lIjoiU29sYW5hIE1vbmtleSBCdXNpbmVzcyIsImhlbGxvTW9vbkNvbGxlY3Rpb25JZCI6ImQ1MTUzMDVlMmIxZGUwMDI2YjViZjQ5ZmJiMTJlMTA3In0="}The SDK provides functionality for interacting with all endpoints mentioned here:https://hellomoon.readme.io/DocumentationYou can view the class methods below:NFTcollection_candlesticks()collection_mint_mapping()collection_name_mapping()collection_volatility()listing_status()nft_listings()metaplex_metadata()mints_by_owner()primary_sales()secondary_sales()NFTSummarycollection_daily_sales_stats()collection_listing_stats()collection_overlap()cumulative_nft_owners_over_time()collection_current_owners()collection_distinct_owners_over_time()collection_holding_period()collection_top_holders()collection_program_usage()collection_stats_with_floor_price()collection_mint_stats()collection_washtrading_index()marketplace_stats()market_sales_over_time()See the Official Hello Moon documentation for additional information:https://hellomoon.readme.io/ContributionFeel free to open issues, pull requests and submit feedback. We appreciate your help!LicenseThis project is licensed under the MIT License - see the LICENSE file for details.AcknowledgementsThanks to the Hello Moon team for providing an amazing product.DisclaimerThe developer is not responsible for any errors or issues that may occur when using this SDK. Use at your own risk and feel free to report issues.
Package: helloMyname
=========================================Welcome to hello=========================================|docs| |pypi|Purpose-------Toy hello world package.Documentation for myNameHello-----------------------------You will find complete documentation for myNameHello at `the myNameHello readthedocs page`_... the myNameHello readthedocs page: http://myNameHello.readthedocs.io/en/latest/.. |docs| image:: docs/_static/docs.gif:alt: Documentation:scale: 100%:target: http://antk.readthedocs.io/en/latest.. |pypi| image:: docs/_static/pypi_page.gif:alt: pypi page:scale: 100%:target: https://pypi.python.org/pypi/myNameHello/Platform--------myNameHello is compatible with linux 64 bit operating systems.Python Distribution-------------------myNameHello is written in python 2. Most functionality should be forwards compatible.Install-------From the terminal:.. code-block::(venv)$ pip install myNameHello
Package: hello-nbdev-z
hello-nbdevNbdev, supercharged software development:https://nbdev.fast.aiThis is a walkthrough of the tutorial from here:https://nbdev.fast.ai/tutorials/tutorial.htmlMake sure you are using nbdev >= 2.3.4Installpipinstallhello_nbdevHow to useOur main functionality provides animal response/sounds for a given
prompt/namesay_meow('bob')'Meow bob!'say_meow('buddy')'Meow buddy!'
Package: hellonew
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: hello-niksingh710
Hello WorldThis is an example project demonstrating how to publish a python module to PyPI.
All Help was took from the youtube video <How To Publish A Package On PyPI>InstallationRun the following to install:pipinstallhello-niksingh710Usagefromhello_niksingh710importsay_hello# calling say_hello() returns a String --> "Hello, World! :)"print(say_hello())# calling say_hello("Everybody") returns a String --> "Hello, Everybody :)"print(say_hello())
Package: hellonlp
word_segmentationChinese word segmentation algorithm without corpusUsagefrom word_segmentation import get_words
content = '北京比武汉的人口多，但是北京的天气没有武汉的热，武汉有热干面，北京有北京烤鸭'
words = get_words(content, max_word_len=2, min_aggregation=1, min_entropy=0.5)
print(words)
Package: helloNoushi
Hello WorldA SIMPLE FILE TO DESCRIBE THE PROJECT PACKAGING IN PYTHON - and a program t simply say helloInstallationRun the following to install:pipinstallhelloNoushiUsagefromhelloNoushiimportsayhelloGenerate "Hello Lovely World ...!!!"sayhello()Generate "Hello Lovely guys ...!!!"sayhello('guys')Developing Hello WorldTo install helloNoushi, along with the tools you need to develope and run tests, run the following in your virtualenv:$pipinstall-e.[dev]
Package: hello-package
dokr - Make your docker and ecs tasks easyA Helper pip package for docker and ECS tasks. This pip package helps you automate your CI/CD pipeline. If your using docker and Amazon ECS for deployments, this tool can be really helpful. This package uses aws cli and ecs cli. MakAssumptions:Assuming python is installed on your system.Docker is installed on your systemaws-cliis installed and credentials are configured on your system.ecs-cliis installed on system [For Log Command only]Installdokron your system using :pip install dokrECS Optionslogin into ecs directly (Assuming awscli is installed and configured)dokr ecs loginDeploy an image on a clusterdokr ecs deploy --cluster cluster_name --service service_name --tag image_versionCheck ecs running logs of a Task -  this command will ask for cluster/service and task defination.Note:Install ecs-cli before running this command  from here:https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ECS_CLI_installation.htmldokr ecs logDocker Helper CommandsPrune whole system -  Cleans unused images, containers and volumes.dokr dock --clean-allDelete all the images matching the patterndokr dock --clean pattern_xxxAdd a tag to the existing image matching the provided pattern  (for latest tag only)dokr dock --tag pattern_xxx tag_namePush all images on a system matching a patternThis will push all images matching pattern 'pat'dokr dock --push patAWS CommandsCheck current public ip of a machine on AWSdokr aws --ip jenkinsRun Apps (subsitute todocker runcommand and DockerCompose)Configure your default values(like docker registry, port mapping, volume mapping etc. that will be same for all apps):Add an new app for deployment:Run all configured apps:Run a particular  app from ECR tags:Run a particular  app by providing a tag:Development:Clean ununsed:rm -rf build/ dist/ *egg* **.pyc __pycache__Build package:python setup.py bdist_wheeldeploy package:python -m twine upload dist/*follow this link for more detailshttps://dzone.com/articles/executable-package-pip-install
Package: hello-package-charuvil
Hello PackageThis is an example project demonstrating how to publish a Python package to PyPI.InstallationRun the followaing to installpipinstallhellopackageUsagefromhello_packageimporthello_package# Generate "Hello Package!"say_hello()# Generate "Hello, Python!"say_hello("Python")Developing Hello PackageTo install hellopackage, along waith tools you need to develop and run tests, run the following in your virtualenv:$pipinstall-e.[dev]
Package: helloparamkusham
Swimlane PlatformInstallDeprecation NoticeLinux Swimlane Installation using this installer is deprecated. You are recommended to use Swimlane Platform Installer. Please contact support team for more information.PrerequisitesSeethe Linux Swimlane Installation end user documentationfor prerequisite information and installation instructions.Install online master packageRunpip install swimlane-platform --upgradeInstall the offline master packageThe offline master package must be downloaded first from TBD.You must then unpack it to the folder of your choice withtar -xvf /path/to/swimlane-platform.tar.bz2Change to the user you want to run everything under.After above step is completed switch to that folder and runpip install --user swimlane-platform-*.whl --no-index --find-links .Two more images is bundled in the file, they are used in docker-compose
override file. They are not expanded by default and if overide
file is use, you need to load them manuallydocker load override-images.tgzRunYou can execute master script by runningswimlane-platform.Hidden Switches.--dev- if you want to run from developers distributions.--turbine_enable- if you want to enable turbine task engine.After installOptional Add-on servicesBy default, optional services such as the Syslog Receiver and Selenium Chrome are commented out in thedocker-compose.override.yml. You will need to uncomment the service (and it's corresponding volume if applicable), and then rundocker-compose up -dto run Swimlane with the additional services enabled.Workspace volumeThe workspace volume can be utilized by commenting out thevolumeskey on the tasks container in thedocker-compose.override.yml. Specify the path to a local directory on the host that contains files you wish to share with the tasks service.Example:sw_tasks:volumes:-/opt/swimlane/workspace:/app/workspaceThird party certificates volumeThe third party certificates volume can be utilized by commenting out thevolumeskey on the api and tasks containers indocker-compose.override.yml. Specify the path to a local directory on the host that contains files you wish to share with the tasks service. On each start of the api and tasks servicesupdate-ca-certificateswill be run to import the certificates. The api and tasks containers need to be restarted for the changes to take affect if new certs are added.Example:sw_api:volumes:-/opt/swimlane/ca-certs/:/usr/local/share/ca-certificates/swimlane/sw_tasks:volumes:-/opt/swimlane/ca-certs/:/usr/local/share/ca-certificates/swimlane/Local Build and InstallTo build the package locally (from the top level directory of this repo):python setup.py build sdist bdist_wheel cleanTo install the built package:pip install ./dist/swimlane_platform-<version>.tar.gz --user --force-reinstall