semvec/pypi-packages huggingface dataset:
flask-demo-helper 0.2.0
A library that provides examples and solutions for common tasks in Flask applications
Requires Python: >=3.6

# Flask Demo Helper

Flask Demo Helper is a Python library that provides examples and solutions for common tasks in Flask applications. This library aims to help developers by providing ready-to-use code snippets and documentation-like examples.

## Installation

You can install Flask Demo Helper using pip:

```bash
pip install flask-demo-helper
avocado-framework-plugin-mail-result 105.0
Avocado Mail Results for Jobs

Avocado Job Notification Mail Plugin
====================================

The Avocado Job Notification plugin enables you to receive email notifications for job start and completion events within the Avocado testing framework.

*Currently Only Supports Gmail*

Installation
------------

To install the Mail Results plugin from pip, use:

.. code-block:: bash

   $ pip install avocado-framework-plugin-mail

Configuration
-------------

To use the Avocado Job Notification plugin, you need to configure it in the Avocado settings file
(`avocado.conf` - located at /etc/avocado/ if not present you can create the file.).
Below is an example configuration:

.. code-block:: ini

   [plugins.mail]

   # The email address to which job notification emails will be sent.
   recipient = avocado@local.com

   # The subject header for the job notification emails.
   header = [AVOCADO JOB NOTIFICATION]

   # The email address from which the job notification emails will be sent.
   sender = avocado@local.com

   # The SMTP server address for sending the emails.
   server = smtp.gmail.com

   # The SMTP server port for sending the emails.
   port = 587

   # The application-specific password for the sender email address.
   password = abcd efgh ijkl mnop

   # The detail level of the email content.
   # Set to false for a summary with essential details or true for detailed information about each failed test.
   detail_level = false

Usage
-----

Once configured, the Avocado Job Notification plugin will automatically send email notifications for job start and completion events based on the specified settings.

Obtaining an App Password for Gmail
-----------------------------------

Please follow these steps to generate an App Password:

Create & use app passwords

Important: To create an app password, you need 2-Step Verification on your Google Account.

#. Go to your Google Account.
#. Select Security.
#. Under "How you sign in to Google," select 2-Step Verification.
#. At the bottom of the page, select App passwords.
#. Enter a name that helps you remember where you’ll use the app password.
#. Select Generate.
#. To enter the app password, follow the instructions on your screen. The app password is the 16-character code that generates on your device.
#. Select Done.

Enter the App Password inside of the avocado configuration file.

Remember to keep this App Password secure and don't share it with anyone. If you suspect it has been compromised, you can always revoke it and generate a new one.
chainhashing 1.0.3
A package for closed addressing hash tables that require chaining with linked lists.
Requires Python: >=3.8

# Closed Address Hashing (Chaining) with hasharray

## Overview

The hasharray package provides an implementation of closed address hashing (chaining) using a hash array data structure. Closed address hashing is a way of efficiently store and retrieve key-value pairs in a hash table.

## Features

- Efficient storage and retrieval of key-value pairs using closed address hashing (chaining)
- Collision resolution through chaining, where multiple key-value pairs with the same hash value are stored in a linked list

## Installation

To use the chainhashing package, you need to have Python installed. You can install the package using pip:

```
pip install chainhashing
```

Then, simply type

```
import chainhashing
```

in your program and you're ready to go.

Message from the creator: This was my first deployed python package (aside from my practice one on TestPyPI that had no real implementation). I know there are probably many issues with this and the documentation isn't nearly as good as it should be, but hopefully people looking to use this library still find use out of it! I've run many test and my conclusion is that there are no functionality errors with this library. Any advice/change recommendations are greatly appreciated; feel free to email me at rt.kellar@gmail.com or open an issue on the GitHub page for this library, https://github.com/Ruxton07/chainhashing. Enjoy!
kisters.network-store.model-library.water 0.3.3
Model library for the Kisters Network Store ecosystem

# kisters.network_store.model_library.water

The models for the `water` domain of the kisters.network_store.model_library

The library is quite extensive, though cannot cover all the possible applications.

In case of the lack of predefined properties, please use the 'user_metadata' field
in order to maintain compatibility with other network_store services!
Please note that only 'str' keys and (str|bool|int|float) values are accepted there!