semvec/pypi-packages huggingface dataset:
GitxClone 1.0.1
GitClone easy!.
Requires Python: >=3.6

```markdown
# GitClone

**Version: 1.0.0**  
**Author: Mohammad Taha Gorji**  

[PyPi](https://pypi.org/project/GitClones)

---

> **Important Notice:**  
> GitClone easy!

---




## Installation

To install the **GitClone** library, use the following command:

```bash
pip install GitxClone
```


## Usage Examples

```python
from GitxClone import *

dest_dir = "downloads"
repo_url = "https://github.com/username/name.git"

downloaded_file = gitclone(repo_url, output_filename="repository.zip", dest_dir=dest_dir)
extract_archive(downloaded_file, extract_to="extracted_repo")
```


## License

This library is distributed under the **MIT License**.  
For more information, please refer to the `LICENSE` file.

---

## Author

**Mohammad Taha Gorji**  
- [PyPi](https://pypi.org/project/GitClone)

---
dimorfism 0.1.0
Dimorfism module
Requires Python: >=3.9

<a href="https://www.islas.org.mx/"><img src="https://www.islas.org.mx/img/logo.svg" align="right" width="256" /></a>
# Dimorfismo_py
[![codecov](https://codecov.io/gh/IslasGECI/dummy_transformations/graph/badge.svg?token=RY807ST1T1)](https://codecov.io/gh/IslasGECI/dummy_transformations)
![example branch
parameter](https://github.com/IslasGECI/dummy_transformations/actions/workflows/actions.yml/badge.svg)
![licencia](https://img.shields.io/github/license/IslasGECI/dummy_transformations)
![languages](https://img.shields.io/github/languages/top/IslasGECI/dummy_transformations)
![commits](https://img.shields.io/github/commit-activity/y/IslasGECI/dummy_transformations)
![PyPI - Version](https://img.shields.io/pypi/v/dummy_transformations)
scrapingpros 0.1.12
Scraping Pros API Client
Requires Python: >=3.6

# **ScrapingPros' client for Python**

The **ScrapingPros' API Client for Python** is the official library to access the ScrapingPros' API from your Python applications. It provides useful features like jobs running retries and convenience functions to improve your experience with the ScrapingPros' API.


## **Installation**
Requires **Python 3.6+**
You can install the package from its [PyPI listing](https://test.pypi.org/project/scrapingpros/). Just by running `pip install scrapingpros` in your terminal. You may need to install requests package too. `pip install requests`

## **Usage**
For usage instructions, check the [documentation on ScrapingPros' Docs](https://console.sprosdata.com/docs).

## **Quick Start**
```python
from scraping_pros import Batch, Project, Job

# Considering we want to work on the project with the ID 64.
PROJECT_ID = 64 # 
# Project must be previously created.
API_KEY = "your-api-key"
 # We create the batch that will hold all the jobs we want to run.
project = Project(api_key=API_KEY, project_id=PROJECT_ID, verbose=True)
first_batch = project.create_batch("first_batch")


# We create a job and append it to the batch, selecting the scrap mode.
url_to_scrape = ["url"]
first_batch.append_jobs(url_to_scrape, ScrapMode.PUPPETEER)

# Puts this job to run.
first_batch.run()

# Retrieves html for all jobs in that batch whenever it finishes running.
data = first_batch.get_data()
```

The package provides tools to manage every aspect of running jobs and retrieving data. It includes functions to easily execute and access data for `Batches` and `Jobs`.

## Automatic Retries
The package automatically retries any operation—such as `run()` or `get_data()`—to handle intermittent issues and improve reliability.
pymupump 0.1.6
Python interface for controlling Harvard Apparatus Microliter OEM Syringe Pump
Requires Python: >=3.6
Keywords: pump control, harvard apparatus, microliter OEM

# pymupump
Python interface for controlling Harvard Apparatus Microliter OEM Syringe Pump

Derived from now inactive library [pumpy](https://github.com/tomwphillips/pumpy), thanks to tomwphillips.

## Installation

`pip install pymupump`


## Usage

```py
import pymupump as pmp

chain = pmp.Chain('COM1') # your port
pump = pmp.Microliter(chain) 
# if using multiple pumps on the same port
# you might want to specify another adress and name
pump2 = pmp.Microliter(chain, 1, "Pump2")

pump.setdiameter(2) # diameter of syringe in mm, range is 0.1 - 4.61
pump.setflowrate(3) # set flowrte in ul/min

pump.settargetvolume(2) # set infuse or withdraw target volume in ul

pump.infuse()
# or
pump.withdraw()

pump.waituntiltarget() # block until pump finishes

pump.stop() # stop pump

```
worldnewsapi 2.2.0
The world's news wrapped into a single API.
Requires Python: >=3.7
Keywords: OpenAPI, OpenAPI-Generator, World News API

# worldnewsapi
The World News API gives you access to thousands of news sources in over 50 languages from over 150 countries. News are semantically tagged allowing for semantic news search like never before.

This is the python-package for easy acccess to the api.

## Resources

- [Homepage](https://worldnewsapi.com/)
- [Tutorial](https://worldnewsapi.com/docs/#Tutorial-Getting-Started)
- [Full API Documentation](https://github.com/ddsky/world-news-api-clients/blob/main/python/README.md)

## Requirements

Python 3.7+

## Installation & Usage
### pip install

This package is hosted on PyPi, you can install directly using:

```sh
pip install worldnewsapi
```
(you may need to run `pip` with root permission: `sudo pip install worldnewsapi`)

Then import the package:
```python
import worldnewsapi
```

### Setuptools

Install via [Setuptools](http://pypi.python.org/pypi/setuptools).

```sh
python setup.py install --user
```
(or `sudo python setup.py install` to install the package for all users)

Then import the package:
```python
import worldnewsapi
```

### Tests

Execute `pytest` to run the tests.
FlowScript 0.1.0
A test automation package for workflow scheduling and execution.
Requires Python: >=3.6

# FlowScript

FlowScript is a Python package that automates workflow scheduling and execution based on a JSON configuration and an SQLite database. It includes modules for parsing workflow configurations, scheduling tasks, executing tasks, and managing workflow execution.

## Features

- **Workflow Parsing:** Parse and validate workflow configurations from a JSON file.
- **Task Scheduling:** Manage and schedule tasks using an SQLite database.
- **Task Execution:** Execute tasks concurrently using threading.
- **Logging:** Integrated logging for tracking workflow progress and errors.
- **Modular Design:** Components such as parser, scheduler, task executor, and workflow engine are separated into distinct modules for easy maintenance and extension.

## Installation

After publishing on PyPI, you can install the package using:

```bash
pip install test_automation