semvec/pypi-packages huggingface dataset:
image-procession 0.0.2
Image Processing Package using Skimage
Requires Python: >=3.5

# image_processing

Description. 
The package image_processing is used to:
	Processing:
		- Histogram matching
		- Structural similarity
		- Rezise image
	Utils:
		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install image_processing
```

## Usage

```python
from package_name.module1_name import file1_name
file1_name.my_function()
```

## Author
Alex

## License
[MIT](https://choosealicense.com/licenses/mit/)
f-scheduler 0.4.0
Simplify Function Scheduler with Python 3
Requires Python: >=3.9

# f-scheduler 
Simplify Lightweight Function Scheduler with Python 3

f(unction)-scheduler is a Python package designed to Simplify Lightweight Function Scheduling. It is built with Python 3.

## Inspiration

The inspiration for this project came from studying the code of Apache Airflow operators. 

The functionality and design patterns observed in the Airflow operators have greatly influenced the development of f-scheduler.

## Installation

You can install f-scheduler using pip:

```bash
pip install f-scheduler
```

## Usage

```python
# import f_scheduler package
from f_scheduler import ConditionOperator, DefaultFunctionOperator, IterFunctionOperator, DAG, Converter

# create a DAG
dag = DAG(use_graphlib=True)

# add tasks to the DAG
dag.add_task(DefaultFunctionOperator(function=print, param=(['hello']), task_id='hello_task'))
dag.add_task(DefaultFunctionOperator(function=print, param=(['bye']), task_id='bye_task'))
dag.add_task(ConditionOperator(10 > 1, task_id='condition_task'))
dag.add_task(IterFunctionOperator(function=print, param=(['What your name?']), iterations=5, task_id='iter_task'))

# set the dependency between tasks :  hello_task >> condition_task >> iter_task >> bye_task
task_order = ['hello_task', 'condition_task', 'iter_task', 'bye_task']

# set the dependency between tasks
# using the converter
converter = Converter(dag)
converter.convert_list_to_dag(task_order).run()
# or dag.set_downstream('hello_task', 'condition_task')
# dag.set_downstream('condition_task', 'iter_task')

# if you want to get the return value of the task, you can use this method
print(dag.get_return_value('iter_task'))

# print all tasks
print(dag.get_all_tasks())

# clear all tasks
dag.clear()
```

## License

f-scheduler is licensed under the Apache License.

## Project Links

- [Homepage](https://github.com/minwook-shin/f-scheduler)
- [Bug Tracker](https://github.com/minwook-shin/f-scheduler/issues)
curlIO 0.1.2
genhttpv1 library collection

CURLIO is an advanced http library. It comes with the genhttpv1library collection that offers advanced features. curlio has multiple functions. It takes its basic structure from libraries like curl.
#example usage

```python

import curlIO

# Exanple usage
ch = curlIO.create_curlink_href("http://example.com")
curlIO.set_http_method(ch, "GET")
curlIO.perform_request(ch)
curlIO.cleanup_curlink_href(ch)

Although the code structure is like this, it has a modular structure and has been developed in a way that it can be easily integrated or developed