semvec/pypi-packages huggingface dataset:
mazefulltasker 0.0.1
Simply task tracker for python.
Requires Python: >=3.10
Keywords: files speedfiles

Tracker uses SQliteDB.
<p>to start work you should import this:</p>
<p><b>from service import config, database</b></p>
<p><b>from service import db_init</b></p>
<p><b>from manager import Task</b></p>

To init db use db_init(). Library will build db, it asks you for her name.
Using config you can manually setup database

On this version realized methods of build task, add comments, statuses, assignations. Also, you can parse data back

1. To issue new task you should init class Task(). Then Task().new_issue
2. To add comment/status/assignation use Task().new_comment / .new_status / .new_assign
3. Also you can use <b>Task().multi_action</b> for multiply editions
publixPassportAPI 0.0.3
A python API to interact with Publix Passport API. Get your schedule, and recent pay statement history.   https://github.com/AidanB446/publixPassportAPI
Requires Python: >=3.10


# Publix Passport API

API to interact with publix passport. Still under development, features are still being added.

# WARNING

Publix requires mutlifactor authentification on login. Currently the API will prompt you for the factors sent to you via SMS in the terminal.

I recomend editing the init() function in 'publix.py' file to fit your needs.

# Usage

```python
from publixPassportAPI.publix import User

user = User('username', 'password')

schedule = user.getSchedule() # returns hashmap
payStatements = user.payStatementHistory() # returns list

```
regex-pypeline 0.0.21
Text (potentially byte) parsing utilities wrapping python stdlib regex features
Requires Python: >=3.8

# Python Parsable Lib

## utilities for quickly structuring text parsing

![test_suite](https://github.com/GregSym/parsable/actions/workflows/test-suite.yml/badge.svg)

### intended for situations where full-blown ast parsing is unnecessary


```python
EXAMPLE_TEXT = """

{
  "border": "{{int(1, 5)}}px {{random(solid, dotted, dashed)}} {{color()}}",
  "coordinates": {
    "type": "array",
    "count": 2,
    "items": "{{float(0, 120, 5)}}"
  },
  "password": "xX{{animal()}}-{{string(6, 10, *)}}"
}

{
  "border": "2px dashed gray",
  "coordinates": [
    14.95685,
    69.91848
  ],
  "password": "xXearthworm-*******"
}

"""
    
@dataclass
class Coordinates(Parsable):
    x: float
    y: float

    @staticmethod
    def pattern() -> "re.Pattern[str]":
        return re.compile(
            r"\"coordinates\":\s*\[\s*(?P<x>\d+(?:\.\d+)?)\,\s*(?P<y>\d+(?:\.\d+)?)\,?\s*\]"
        )

coordinates = Coordinates.from_str(EXAMPLE_TEXT)
print(coordinates)

```

which outputs:
```output
>>> [Coordinates(x=14.95685, y=69.91848)]
```

This particular functionality exploits the named capture groups feature in the version of regex used by python (available in many other typical implementations) to structure the desired data into a dataclass output that can be worked with easily for other tasks.
zubrby 1.1.13
This is the simplest module for quick work with files.
Requires Python: >=3.12
Keywords: files zubr

# Speed File Library #

## What is this? ##
The module allows you to work with files in just one line of code, without the need to manually open and close the file each time

## Quick Guide ##
The module is based on the following structure:

    
    f = open('data.txt')
    data = f.readlines()
    f.close()
    
Which Python provides by standard.


----------


### Using ###


Using the library is as simple and convenient as possible:

Let's import it first:
First, import everything from the library (use the `from `...` import *` construct).

Examples of all operations:

Writing the contents of an entire file to a variable using the `read()` function:

    temp = File(path='test.txt').read()


Writing the contents of an entire file to a variable line by line using the `readlines()` function:

    temp = File(path='test.txt').readlines()


Write only the first line from a file using the `readline()` function:

    temp = File(path='test.txt').readline()


Writing data from a variable to a file using write() (overwriting or creating a file):

    temp = "Test data"
    File(path='test.txt', data=temp).write()
    

Adding data from a variable to a file using write() (or creating a file):

    temp = "Test data"
    File(path='test.txt', data=temp).add()


----------


## Developer ##
My site: [link](https://y-a-r-i-k.github.io/)
Luke001 0.0.3
May the force be with you
Requires Python: >=3.6
Keywords: May the force be with you

# Why are you here? #

## What is this? ##
I don't even know..
maybe.. a package?

## ~~Р¬С„РЅРёСѓ~~ Maybe you can try this: ##
    
    from Luke001 import *

    print(main_theme())

----------
assistente-willuka 0.0.1
Assistente para Realização de Tarefas no Windows
Requires Python: >=3.8

# Assistente Willuka

Description. 
The package assistente_willuka is used to:
	- Assistente Willuka (willuka.py)

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install assistente_willuka
```

## Author
William Sousa

## License
[MIT](https://choosealicense.com/licenses/mit/)
rootwhiz 0.1.0
RootWhiz is a Python package that simplifies directory navigation and path manipulation.
Requires Python: >=3.6


# RootWhiz

RootWhiz is a Python package designed to simplify and streamline directory navigation and path manipulation. Whether you're dealing with complex directory structures or just need an easier way to manage file paths, PathPilot offers intuitive and powerful tools to enhance your productivity. With a focus on ease of use and flexibility, PathPilot allows you to perform common pathing tasks with minimal code, freeing you from the intricacies of manual path management.
shedV 0.0.0
vcs
Requires Python: >=3.11

# Shed
 - Another version control system

### Table of contents:
[About](#about)
- [Name origin](#name-origin)
- [Technologies](#technologies)
- [Demo](#demo)
- [Screenshots](#screenshots)
[Prerequisites](#prerequisites)
[Install](#install)
[Usage](#usage)
[License](#license)
[Contribution-guide](#contribution-guide)
[Contact-info](#contact)

### About:

#### Name origin:
Since this is more like a pythonic version of git, and Python is a family of snakes, the project is named after a biological process that happens in snakes called 'ecdysis' where the snake sheds its skin, to evolve and get rid of the parasites stuck to it comparing it with a developer extending his code and getting rid of the bugs.
#### Technologies:

 - Python
 - Click
#### Demo
- coming soon
#### Screenshots
### Prerequisites:
- Python 3.11

### Install
1. clone this repo
2. navigate to the repo directory
3. run `pip3 install -e .`
### Usage
1. `shed-create`: this command will create a shed repository
2. `shed-add [file/files]`: this command will add the specified file/s to be built
3. `shed-build [message]`: this command will build a shell(a.k.a git commit) of the tracked files
4. `shed-status`: print the repo current status to the stdout
5. `shed-delta`: prints the difference between the working directory and the under construction area(a.k.a index tree in git)
6. `shed-2-git`: this command creates the equivalent git repo of the current repository

### License
This project is licensed under the MIT License. See the [LICENSE](https://github.com/abdelwahabram/shed/blob/main/LICENSE) for details.

### Contribution guide
1. Fork the project.
2. Create your feature branch (git checkout -b AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. to the branch (git push origin AmazingFeature).
5. Open a pull request.
if you want to report an issue follow this template:
## desired behavior:
- explanation
## actual behavior:
- explanation
## code reference:
[link if availabe]

### Contact
Abelwahab Abu Warda - abdelwahab.abu.warda610@gmail.com