semvec/pypi-packages huggingface dataset:
selenium-shortcuts 4.5
Selenium shortcut functions

### selenium-shortcuts
Shortcut functions for Python selenium

Installation:
`pip install selenium-shortcuts`

Usage:
```
from selenium_shortcuts import setup_shortcuts

helper = setup_shortcuts(browser='uc') # Start a browser on port 9222 or reconnect to existing browser on port 9222 with undetected-chromedriver
driver, find, finds, click, text, send, get, check = helper.driver, helper.find, helper.finds, helper.click, helper.text, helper.send, helper.get, helper.check

info = text('#info')
print(info)

click('#submit')

info = find('#info')
print(info.text)
info.click()

items = finds('.items')
for item in items:
	print(item.text)

info, classes = find('#info', attribute='class')
print(classes)
```
racers-countering 0.0.5
A small package that counts TOP-15 racers from data files
Requires Python: >=3.12

# Racers Counter

Racers Counter is a Python package that processes racing logs, including driver names, teams, 
start times, and stop times. It reads data from log files placed in a folder 'additional', calculates the lap time 
for each racer, and generates a report with the fastest lap times. It also handles errors in the input data 
and provides a detailed list of invalid records.

## Features

- Reads abbreviations, start, and stop logs to process race records
- Calculates lap times for each driver
- Sorts drivers based on their lap times
- Generates a report with top racers and records with errors

## Installation

You can install the package via pip:
```python
pip install racers-countering
```
## Usage

1. Prepare the following log files in a directory (by default additional folder):

* abbreviations.txt: Contains abbreviations of drivers and teams.
* start.log: Contains the start time of each driver.
* end.log: Contains the stop time of each driver.

2. Import the Record class and call its methods to build and print the report:

```python
from racers_countering.program_code import Record

good_records, bad_records = Record.build_report(
    abbr_file_name="abbreviations.txt",
    startlog_file_name="start.log",
    stoplog_file_name="end.log",
    reverse=False
)

print(Record.print_report(good_records, bad_records, under_number=15))
```
## Methods:

### Record.read_abbreviations()
Read all abbreviations from 'additional\abbreviations.txt'

### Record.build_report()
Builds the race report by reading the abbreviations, start times, and stop times. Returns two lists:

* good_records: List of records that were processed correctly.
* bad_records: List of records with errors.

### Record.print_report()
Generates a formatted report based on the provided records.
bpx-CommonLibrary 0.0.2
A library for Common Keywords.
Requires Python: >=3.8.0

# Introduction 
TODO: Give a short introduction of your project. Let this section explain the objectives or the motivation behind this project. 

# Getting Started
TODO: Guide users through getting your code up and running on their own system. In this section you can talk about:
1.	Installation process
2.	Software dependencies
3.	Latest releases
4.	API references

# Build and Test
TODO: Describe and show how to build your code and run the tests. 

# Contribute
TODO: Explain how other users and developers can contribute to make your code better. 

If you want to learn more about creating good readme files then refer the following [guidelines](https://docs.microsoft.com/en-us/azure/devops/repos/git/create-a-readme?view=azure-devops). You can also seek inspiration from the below readme files:
- [ASP.NET Core](https://github.com/aspnet/Home)
- [Visual Studio Code](https://github.com/Microsoft/vscode)
- [Chakra Core](https://github.com/Microsoft/ChakraCore)
calculadora-avancada 0.1.0
Biblioteca Em construção para diversas coisas como: uso melhor de variaveis, funçoes e outras coisas...
Requires Python: >=3.6

# Minha Biblioteca

Uma biblioteca simples para demonstrar funcionalidades em Python.

## InstalaÃ§Ã£o

VocÃª pode instalar a biblioteca usando o `pip`:

```bash
pip install minha_biblioteca