Saravanan666/pypi-org huggingface dataset:
Package: shopify-webhook-parser-lib
Shopify Webhook ParserThe Shopify Webhook Parser is a versatile Python module designed for efficient parsing of Shopify webhook requests. While it includes a specific implementation for Azure Functions, its architecture is flexible, allowing it to be extended and adapted to various environments and requirements.FeaturesStrategy Pattern:At the core of this module lies the Strategy pattern, enabling dynamic selection and interchangeability of parsing logic. This approach allows for the easy addition of new parsing strategies to accommodate different processing needs or webhook formats.Extendable for Various Environments:Initially provided with an implementation for Azure Functions, the module is structured to be easily extendable to other platforms or frameworks.Robust Error Handling:Incorporates comprehensive error handling to manage and log parsing exceptions, ensuring reliability and maintainability.Customizable Parsing Strategies:Designed to cater to a range of webhook parsing needs, from simple to complex, the module is both customizable and scalable, fitting into different project sizes and complexities.Implementing New Parsing StrategiesTo integrate new parsing strategies, follow these guidelines:Strategy Function Signature:Implement strategies as callables conforming to the following type:(HttpRequest) -> Tuple[bytes, Dict[str, Any]].These functions should accept a webhook request and return a tuple with the request body in bytes and headers.Error Management:Strategies should handle and log exceptions effectively.Raise aValueErrorwith a descriptive message in case of processing failure.Seamless Integration:Design strategies for easy integration with theparse_shopify_webhook_requestfunction.Ensure compatibility with expected input types.Comprehensive Testing:Thoroughly test each strategy to accurately parse various webhook formats.Include tests for edge cases and error handling scenarios.InstallationpipinstallshopifywebhookparserUsageTo use this module in an Azure Function, import and call the parse_shopify_webhook_request function with the appropriate parsing strategy.Exampleimportazure.functionsasfuncfromshopifywebhookparserimportparse_shopify_webhook_request,azure_func_request_parse_strategydefmain(req:func.HttpRequest)->func.HttpResponse:try:onlinestore_name,data_bytes,headers,hmac_sha256=parse_shopify_webhook_request(req,azure_func_request_parse_strategy)# Further processing of the parsed datareturnfunc.HttpResponse(f"Processed webhook for store:{onlinestore_name}",status_code=200)exceptValueErrorase:returnfunc.HttpResponse(f"Error:{e}",status_code=400)Development and ContributionsFeel free to contribute to the improvement of this module by submitting pull requests or reporting issues.LoggingThe module uses Python's built-in logging to provide insights into its operations and error conditions.LicenseMIT, for details see LICENSE
Package: shopi-py
Welcome to Shopi(Py)Shopi(Py) was created to make it easy for people to interact with the frontend of Shopify Stores in Python. Whereas the current Shopify API allows store owners to interact with their stores backend, Shopi(Py) allows anybody to easily get information about stores and their productsInstallationThe installation process for Shopi(Py) easy! Just enter the following command in your terminal:pip install shopi-pyUsageCurrently, the package is in early development and contains a few main methods. An example of usage is shown here:>>>import ShopiPy as shopify

>>>url = "https://kith.com"

>>>print(shopify.isShopify(url))
True

>>>print(shopify.findProductUrl(["Howie", "Short", "Blue"]))
https://kith.com/products/khk6041-109

>>>print(shopify.getSizeVariant("random"))
19437737050240

>>>print(shopify.getSizeVariant("6"))
19437737148544

>>>print(shopify.getCheckoutUrl())
https://kith.com/checkout/19437737148544:1FeedbackThis is my second public python package and I would appreciate any user feedback. For feature requests or changes, feel free to create an issue or pull request on the GitHub repo.
Package: shopkeepr
ShopKeepr:An automated requirements manager for python projects.Ever felt that updating the requirements.xt file is a bit too tedious? or too bloated with a lot of dependencies? Same. A lot of times it happens that after uninstalling a package from your project, there are dangling dependencies still left.ShopKeepr takes care of it all for you by maintaining a state of all packages and dependencies installed for the project you’re working on, removing all unused dependencies when you uninstall a package and update the requirements.txt file automatically whenever you make a change to the state of installed packages for your projects in your virtual environment.Installation Instructions:` pip3 install shopkeepr `Usage Instructions:` keepr <command> <package list> `Commands:install - Install Packagesuninstall - Uninstall Packages and dependenciesupdate - Update an existing packagehelp - Display Help informationcredits - List author creditsExample:` keepr installdjango==2.2pymongo==1.2`Note:The application currently supports ‘venv’ to manage the virtual environment for the project you’re working on.The application makes use of a sqlite database named ‘packages.db’ under each project. You’d need to add that to your .gitignore file to avoid pushing it to your repo.
Package: shoplistapp
Shoppinglist
Shoppinglist is a simple Django app designed to keep a record of shoppinglist items for easy remembrance.Quick start
Add "shoppinglist" to your INSTALLED_APPS setting like this:INSTALLED_APPS = [
...
'shoppinglist',
]
Include the application's URLconf in your project urls.py like this:path('', include('shoppinglist.urls')),
Run python manage.py migrate to create the shoppinglist models.Visithttps://www.remindershoplist.duckdns.org/to view your list.
Package: shopping-cart-387dd67aa803
Code styleThis project makes use of black with default settings to format the code
and flake8 as a linter.Usagefrom shopping_cart.shopping_cart import ShoppingCart

cart: ShoppingCart = ShoppingCart()
print(cart.add_to_cart("cornflakes", 1))
print(cart.add_to_cart("cornflakes", 1))
print(cart.add_to_cart("weetabix", 1))
print(cart.calculate_state())APIadd_to_cart(product_name, quantity)Will add the product details to the cart.Args:product_name (str): the name of the productquantity (int): how many of the productRaises: Exception: Exception, when there is an error adding a product to the cartReturns: dict: object containing the status_code and messagecalculate_state()Will display the current state of the shopping cartReturns: str:A string representing the state of the shopping cart.
This includes:product_name: the name of the productquantity: how many of the productsub: sum of all the prices of the productstax: the tax payable on the subtotal: the sum of the sub and taxRequirementspython >= 3.10poetrycoverageTestingThe project uses pytest to run its tests
To run the tests, follow the steps below.Open up a terminal in the projectrunpoetry installthis will install the dependencies for the projectrunpoetry shellto enter the virtual environmentrunpoetry run pytest -vvto run the testsCoverageOpen up a terminal in the projectruncoverage run -m pytestrun the test suite and get dataruncoverage report -mto get a report of the resultsOtherThe .gitignore file was generated using gitignore.iohttps://www.toptal.com/developers/gitignore/#
Package: shopping-list-generator
Shopping List GeneratorA simple CLI tool written in Python for generating a shopping list text file from multiple recipe files. Written so my girlfriend stops taking an extra 15 minutes every week copying the recipe contents...Quick InstallThe application is available on PyPI and so can installed via pip using:pip install shopping-list-generatorUsageThe application uses your working directory to find recipe text files, and outputs a shopping_list.txt file to the working directory. The file extension of the recipe file does not need to be specified, it is assumed to be .txt.So running the app from within a directory with atest_recipessub-directory would look like:shopping_list_generator "test_recipes/daal, test_recipes/curry"You can also specify the quantity to multiply each recipe ingredient by like:shopping_list_generator "test_recipes/daal-2, test_recipes/curry-2"Which would multiply both the daal and curry ingredients by 2.Quick SetupThe app usespipenvfor dependency management. So you will need to be familiar with this to run the application locally.Once pipenv is installed you can install the dependencies by running:pipenv installfrom within thesrcdirectory.You can then run associated commands via pipenv, like:pipenv run python -m shopping_list_generator "test_recipes/daal, test_recipes/curry"TestsThe application uses pytest for writing and running tests.Within thesrc/testsdirctory there are a few integration tests from the easiest point of entry of the entire application. Each test takes a given set of recipe inputs, and the output shopping_list contents can be asserted on. These integration tests mock the underlying file system operations.You can run the tests via pytest:pipenv run pytest ./testsfrom within thesrcdirectory.
Package: shop-python
Micro Shop FrameworkMade in Python 3.Welcome to the micro shopping framework,shop-python.Install it with pip:python3-mpipinstallshop-python--upgradeYou can then import the module.This module consists of 4 other packages, namely:ProductPOSCustomerStorefromshop_pythonimportProduct,POS,Customer,StoreProductProduct package class has the following attributes:uniqueIdnamepricedescriptionquantityuniqueIdis not autogenerated for each product. Developer will have to create one, including for all other attributes.Example usage:banana=Product(uniqueId="FRUITBANANA001",name="Yellow Sweet Banana",price=2.50,description="Sweet, yellow, ripe banana, air-flown from Australia",quantity=100)POSPOS is the Point of Sale package that operates the cash register for the clerk/teller to manage customer transactions. Currently it only checks for balance amount and movement of the transactions.Initiate the POS instance with a starting balance amount.cashier_pos=POS(balance=100.0)When performing a transaction for money coming into the cash register, use themoney_in()function.cashier_pos.money_in(amount=24.99)When performing a transaction for money coming out of the cash register, use themoney_out()function.cashier_pos.money_out(amount=24.99)To get the current balance of the POS, get its balance attribute.cashier_pos.balanceCustomer// TODOStoreA store is one shop. A shop has a name, a list of products and a POS associated with it (TODO: Turn it into a list of POS for multiple tellers/cashiers)Initiate a store instance with a POS and a list of Products.my_shop=Store(name="My Supermarket",pos=cashier_pos,products=[banana])Display a list of products in the store:my_shop.displayProducts()
Package: shopschedule
JSP:http://people.brunel.ac.uk/~mastjjb/jeb/orlib/files/jobshop1.txtFJSP:http://people.idsia.ch/~monaldo/fjsp.htmlFSP:http://people.brunel.ac.uk/~mastjjb/jeb/orlib/files/flowshop1.txtAuthor: Yang Guangcan
E-mail: 2315466330@qq.com
Package: shop-scraper-hr
This is a simple scraper for obtaining the prices of goods in Croatian supermarkets.
Inspired bythis post.Supported sitesSeeshop_scraper_hr/scrapersfor a list of supported scrapers.InstallationRelease versionpipinstallshop-scraper-hrDev versionClone the repo:gitclonegit@github.com:JCGoran/shop-scraper-hr.gitThe project usesPython Poetryfor dependency management, and all dependencies can be installed using:poetryinstallUsage>>># for getting data from Konzum>>>fromshop_scraper_hr.scrapersimportkonzum>>># get a list of all categories>>>categories=konzum.get_category_urls()>>># get a list of prices from a category>>>prices=konzum.get_prices(categories[0])>>>prices[{'currency_per_unit_quantity':'€/kom','price_data':{'amount':'1,72','currency':'€','quantity_unit':'kom'},'price_fractional_part':72,'price_integer_part':1,'title':'F5 Auto spužva jumbo','url':'https://www.konzum.hr/web/products/f5-auto-spuzva-jumbo'},{'currency_per_unit_quantity':'€/kom','price_data':{'amount':'5,31','currency':'€','quantity_unit':'kom'},'price_fractional_part':31,'price_integer_part':5,'title':'Armor All Vlažne maramice za staklo 20/1','url':'https://www.konzum.hr/web/products/maramice-vlazne-20-1'},...]
Package: shopstyle-api
[![Python 3.6+](https://img.shields.io/badge/python-3.6+-blue.svg)](https://www.python.org/downloads/release/python-360/)[![Build Status](https://travis-ci.com/aorzh/shopstyle_api.svg?branch=master)](https://travis-ci.com/aorzh/shopstyle_api)#API client for Shopstylecollective## Installing`pip install shopstyle_api`To getting access to shopstylecollective api write in your code:`from shopstyle_api.api import ShopStyleApi`or shortly`from shopstyle_api import ShopStyleApi`and`client = ShopStyleApi(api_key=SHOPSTYLE_API_KEY, api_username=YOUR_USERNAME)`***If you looking some examples please look at tests forlder.***-------------## List of available methods* `get_brands()` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000844306--brands)* `get_categories()` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000868763--categories)* `get_colors()` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000864683--colors)* `get_lists()` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000845806--lists)* `get_list_id(list_id)` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000866203--lists-list-id-)* `get_list_items(list_id, limit, offset`) (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000845926--lists-list-id-items)* `get_price_filters()` (https://shopstylecollective.zendesk.com/hc/en-us/articles/360001337531--Price-Filters)* `get_product(product_id, free_text_search, category, filters, pdd, sort)` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000866043-What-are-the-query-parameters-)* `get_products(filters, category, floor, free_text_search, pdd, sort,limit, offset)` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000866043-What-are-the-query-parameters-)* `get_products_histogram(filters, category, floor, free_text_search, pdd, sort)` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000866043-What-are-the-query-parameters-)* `get_retailers()` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000868743--retailers)**DEPRECATED BELOW***rerun only {"errorCode":400,"errorMessage":"HTTP 404 Not Found"}** `list_search(list_id, free_text_search, filters, category, sort, limit, offset)` (https://shopstylecollective.zendesk.com/hc/en-us/articles/115000848706--lists-search)
Package: shop-vc
Shop, the simple version controllerShop is a version controller meant to be simple and a joy to use. Those are its only
goals; goals do not include,speed,size, or, lest you divulge secrets with
this humble tool,security. Maybe in the future these goals will be added; for now,
the answer is no.Shop currently has a very limited set of commands:init,save,backup,restore, andinspect.
Further information will be added later.Shop stores all of its information in one file:.shop. If this becomes unwieldy, I'll try to
use delta encoding.Shop is, as of now, not ready to be used. Don't use it.
Package: shor
shorThe Python quantum computing library.Shor is a simple, modular, and extensible quantum computing API written in python.Our mission is to make quantum computing easy and accesible to everyone.Use shor if you need a library that:Enables fast prototyping of quantum circuitsSimulates small quantum programsMakes quantum computing easyWe currently support running programs on Qiskit providers including IBMQ quantum computeres.In the near future we plan to support other providers. Write your program once, and run it anywhere.Read the documentation, view tutorials and examples, and join the community at:https://shor.dev/We are in early development and looking for contributors!Want to contribute? SeeCONTRIBUTING.mdShor is compatible with Python 3.6 and is distributed under the MIT license.
Package: shorser
shorserShorter serializer. Helpful if you are usingsqlitedict/filecacheto store key value pairs.UsageTo use shorser with std json backend:fromshorserimportjdump,jloadbytes_buf=jdump(obj)obj=jload(bytes_buf)Compare with JSONValueJSON (utf-8 encoded)shorser (with JSON backend)Saved bytesNoneb'null'None4Trueb'true'b'y'3Falseb'false'b'n'3100b'100'b'id'(store integer in little order bytes, with prefixi)a lot'vnais'b'"vnais"'b'svnais'1b'dsads15'Not Supportb'bdsads15'{'a': 10}b'{"a": 10}'b'u{"a": 10}'-1shorser is supportbytestype;integer type is unreadable;in most cases, shorser is smaller than backend (like JSON);in most cases, shorser is faster than backend (like JSON);
Package: shortable
shortableReceive an alert if an asset becomes shortable, e.g. from HTB to ETB, or vice versaSummaryshortable is a Python script for tracking the short selling availability of assets. The script works by maintaining a
database of assets and their shorting availability (either true, shortable, easy-to-borrow (ETB) or false, non-shortable,
hard-to-borrow (HTB)). When the script notices the asset shortable condition has changed since the last run, it notifies
the user with a Windows 10 toast notification. This may be helpful in quickly acting on ETB or HTB changes of assets or
gauging market sentiment. The script currently only supports the Alpaca Securities broker but could be expanded to other
brokers that have API access.RequirementsPython 3winotifyalpaca-trade-apiSetupInstall shortable using pip:pip install shortableCreate API keys using theAlpaca dashboard. Refer to Alpaca'sAPI v2andAPI Documentationfor more details.Set environment variables APCA_API_KEY_ID and APCA_API_SECRET_KEY for the Windows user account.
shortable can be used with Alpaca paper accounts by setting APCA_API_BASE_URL=https://paper-api.alpaca.markets. Refer toAlpaca Environment Variables.UsageDefine assets to track inshortable.jsone.g. {"AMZN": true, "MSFT": true, "TSLA": false}.Run shortable from the same directory asshortable.json. When there are no asset shortable changes there is no output or notification. Checkshortable.logto verify operation.Optionally schedule shortable to run routinely using Windows Task Scheduler.Filesshortable.jsonDictionary database for recording asset shortable status. Save in the directory you intend to run shortable from.
Use JSON format such as follows:{"AMZN": true, "MSFT": true, "TSLA": false}shortable.logLog file indicating checks for shortable status, changes to shortable status, and when toast notifications are fired.
Automatically created in the same directory from which shortable is run from.SupportIf you find an issue or have any feedback please submit an issue onGitHub.If you would like to show your support donations are greatly appeciated via:GitHub SponsorsPayPalBitcoin:bc1qh46qmztl77d9dl8f6ezswvqdqxcaurrqegca2pEthereum:0xAB443e578c9eA629088e26A9009e44Ed40f68678AuthorRobert Gomez, Jr.Source codehttps://github.com/rgomezjnr/shortableLicenseMIT
Package: short-activist-predictor
Short activist predictorNoteThis Python package provides a machine learning model for predicting the likelihood of success for short activist reports targeting public companies.InstallationYou can install the package using pip:pipinstallshort_activist_predictorUsageThe package provides aPredictormodule with functionpredict_pdf()that takes in a path to the PDF file of the short report and the target company name. It loads and analyzes the report text using NLP. The Predictor then outputs probability scores between 0-1 predicting the chance of a successful outcome from the report release over 3 time periods - within 1 days, 1 week, and 1 month.Here's an example of how to use thePredictor.predict_pdf()function:fromshort_activist_predictor.predictorimportPredictor# Create a predictor instance by hf token indentificationpredictor_=Predictor(Predictor.Login_Token())# Upload the report in pdf format# This following function will ask you to upload a pdf towhile(True):predictor_.predict_pdf()To request access, please emaildanglchis.manage@gmail.comwith your name, institution affiliation, and details on your proposed use case. We will evaluate requests and provide access to those with legitimate needs aligned with the intended uses of this modelRequirementsTo use this package, you need to have Python 3.10 or higher installed on your system. You also need to have the following packages installed:BertopicTransformersHuggingface_hubNLTKLicenseThis package is licensed under the GNU General Public License v3.0. See the LICENSE file for more information.ContactIf you have any questions or suggestions, feel free to contact Daglox Kankwanda at @danglchris.
Package: shortauthstrings
Short authentication strings for PythonThis package implements rendering of short authenticated strings, which you
can use in your application after an unauthenticated exchange such as a
Diffie-Hellman process.The usual way in which this works is, both sides of the exchange display
(hopefully) the same sequence based on the shared key (or a derivative of it),
indicating that the shared key is, in fact, shared and has not been tampered
with by an active man in the middle.Here is a sample from a Python REPL:>>> from shortauthstrings import emoji
>>> print(emoji(bytes([4,88,75,34,99,124])))
🍋 🍧 🍝 🌰 🍮 🦝
>>>A ready-to-go module to perform Diffie-Hellman key agreement can be found in
theblindecdh repository.Seemodulefor more documentation.This package is distributed under the GNU Lesser General Public License v2.1.
For relicensing, contact the package author.
Package: shortbread
ShortbreadShortbread Recipe Calculator.Free software: MIT licenseDocumentation:https://shortbread.readthedocs.io.FeaturesRuns in Python 3.6+Calculates and prints the ingredients forndozen shortbread cookies.Prints a reminder of temperature and time for baking.Additional options exist for printing long instructions and a Chocolate Chip verion.Of course, the actual number of cookies and baking time depends upon how thick and large you make the cookies! Some of us likebigcookies.SeeUsage documentationfor hints and detailed instructions.CreditsThis package created via the courseCreating and Distributing Python Packagesby Audrey and Danny Roy Greenfeld.This package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.5.0 (2018-03-18)Add use of moduleinflectfor better output of quantities.Make count optional so prints recipe for 1 dozen cookies.Actually test all options added in 0.4.0.Improve documentation for CLI options.Improve usage documentation.Eradicate last vestiges of Python 2.7.0.4.1 (2018-03-17)Minor docs improvementsImprove tests for new options0.4.0 (2018-03-16)Add Chocolate chip optionAdd long instructions option0.3.0 - 0.3.4 (2018-03-14)Final Base Version with CLI0.2.0 (2018-03-11)Add Docs0.1.0 (2018-03-10)First release on PyPI.
Package: shortbred
ShortBRED is a system for profiling protein families of interest at very high specificity in shotgun meta’omic sequencing data. ShortBRED-Identify collapses proteins of interest into families, and then screens these families (as represented by consensus sequences) against 1) each other and 2) a comprehensive protein reference. ShortBRED-Identify then identifies short, distinguishing peptide sequences (“markers”) for each protein family. This process is performed once for a given set of proteins of interest to produce a reusable marker set (see below for examples of pre-computed markers). ShortBRED-Quantify then screens a metagenome or metatranscriptome against a given marker set to profile the presence/absence and relative abundance of the associated proteins.