semvec/pypi-packages huggingface dataset:
ImageDimensionCheck 1.4.2
Checking dimension of many images during Image processing

# ImageDimensionChecker

ImageDimensionChecker is a Python package designed to streamline the process of analyzing image datasets. It provides functions to check if images in a directory have the same dimensions, count the number of unique file extensions, and identify unique image dimensions.

# Features

Check Image Dimensions: Determine if all images in a directory have the same dimensions.
Count Unique File Extensions: Count the occurrences of each unique file extension in a directory.
Identify Unique Image Dimensions: Find the unique dimensions (width and height) of images in a directory.

# Installation

You can install ImageDimensionChecker via pip:

pip install ImageDimensionChecker

# Usage

Here's a quick guide on how to use ImageDimensionChecker:

# Check Image Dimensions

from ImageDimensionChecker import CheckImageDimension

<!-- Specify the path to the directory containing images -->
path = "/path/to/images"

CheckImageDimension(path)

# Count Unique File Extensions

from ImageDimensionChecker import unique_extension

<!-- Specify the path to the directory containing images -->
path = "/path/to/images"

unique_extension(path)

# Identify Unique Image Dimensions

from ImageDimensionChecker import unique_dimension

path = "/path/to/images"

unique_dimension(path)

# License

This project is licensed under the BSD License - see the LICENSE file for details.

# Contributing

Contributions are welcome! Please feel free to submit issues and pull requests.

# Acknowledgements

This package was inspired by the repetitive tasks involved in image dataset analysis during machine learning model development.
api5simbiz 1.0.0
Упрощенное взаимодействие с API веб-сайта 5sim.biz
Requires Python: >=3.7
Keywords: example python

# fivesimapi
Упрощенное взаимодействие с API веб-сайта 5sim.biz

# Использование
Апи ключ находится тут - https://5sim.biz/settings/security <br>
Ответы во всех методах приходят в json формате

# Установка
```
pip install api5simbiz
```



```python
# Импортируем библиотеку
from api5simbiz import *

# Объявляем основной класс
api = fivesim(api='апи ключ с личного кабинета')

# Выводит статистику пользователя
print(api.get_profile())

# Выводит историю заказов
print(api.order_history(category='telegram'))

# Выводит историю платежей
print(api.payment_history())

# Выводит список установленых максимальных цен
print(api.max_prices())

# Установить или обновить лимит максимальной цены
print(api.set_limit(product_name='telegram', price='123'))

# Удалить лимит максимальной цены
print(api.delete_limit(product_name='telegram'))

# Вывести список товаров
print(api.product_request(country='indonesia', operator='any'))

# Вывести список цен
print(api.request_for_prices())

# Вывести список цен по конкретной стране
print(api.prices_by_country(country='indonesia'))

# Вывести список цен по конкретному товару
print(api.prices_by_country(product='telegram'))

# Вывести список цен по конкретному товару и по конкретной стране
print(api.prices_by_country_and_product(country='indonesia' ,product='telegram'))

# Заказ номера
print(api.get_number(country='indonesia', operator='any', product='telegram'))

# Аренда номера
print(api.rent_phone(country='indonesia', operator='any', product='telegram'))

# Повторный заказ номера
print(api.rebuy_phone(number='7123456789', product='telegram'))

# Получить смс
print(api.get_sms(id='123456'))

# Завершить заказ
print(api.complete_order(id='123456'))
```

# Разработчик
Разработчик - Sierro

Telegram - @devilgrammm
init-flask 0.0.1
A python package to easily setup a flak development environment
Requires Python: >=3.8

# init-flask

init-flask is a Python package that helps you setup your [Flask](https://flask.palletsprojects.com/) development environment. Whether you just want to want to create a simple endpoint or you're cooking a large scale project, you choose how much `init-flask` does for you.


## USAGE
### Basic Usage
- `PATH`: Optional(`''` should be specified as optional value of `PATH`). Specifies the directory path where the project will be created. If not provided, the project will be created in the current working directory.

- `PROJECT_NAME`: Required. Specifies the name of the project directory to be created.

### Options

- `--showpg`: Flag. If provided, progress messages will be displayed during execution.

- `--libs LIBS`: Optional. Specifies a comma-separated list of additional Python libraries to install. Example: `--libs "Flask, requests"`

- `--hardcore`: Flag. If provided, enables hardcore mode, which creates additional folders and files for advanced project setup.


## Use Cases

### Basic Initialization
Create a basic Flask project without any additional options:

```bash
init-flask '' my_project
```


## Specify Custom Directory Path

### Create a project in a custom directory path:
```bash
init-flask --showpg D:/Projects my_project
```


## Install Additional Libraries

### Install additional Python libraries during project initialization:
```bash
init-flask --libs "Flask-WTF, SQLAlchemy" '' my_project
```


## Hardcore Mode

### Enable hardcore mode to create additional folders and files:
```bash
init-flask --hardcore '' my_project
```


## Show Progress Messages

### Display progress messages during project initialization:
```bash
init-flask --showpg '' my_project
```


## Combining Options

### Combine multiple options:
```bash
init-flask --showpg --libs "Flask-WTF, SQLAlchemy" --hardcore '' D:/Projects my_project
```