semvec/pypi-packages huggingface dataset:
open5gs-api 0.1.0
A Python API for interacting with Open5GS components
Requires Python: >=3.6

# Open5GS Python API Framework

This package provides a Pythonic API for interacting with Open5GS components and configuring network parameters.

## Installation

```bash
pip install open5gs
```

## Usage

```python
from open5gs import open5gs

# Configure network parameters
ambr = open5gs.ambr(value=10000000, unit=1)  # 10 Mbps
qos = open5gs.qos(index=5)
arp = open5gs.arp(priority_level=1, pre_emption_vulnerability=1, pre_emption_capability=2)

# Update configuration
open5gs.update_config(ambr=ambr, qos=qos, arp=arp)

# Get UE and UPF API URLs
UE_API_URL = open5gs.ue(8080, "send")
UPF_API_URL = open5gs.upf(8081, "receive", "sensor")

# Send data
data = {"sensor_id": 1, "temperature": 25.5, "humidity": 60}
response = open5gs.send_data(UE_API_URL, data)
print(response)

# Receive data
received_data = open5gs.receive_data(UPF_API_URL)
print(received_data)
```

For more detailed usage instructions and API reference, please refer to the documentation.

## Development

To set up the development environment:

1. Clone the repository
2. Create a virtual environment: `python -m venv venv`
3. Activate the virtual environment: `source venv/bin/activate` (Linux/Mac) or `venv\Scripts\activate` (Windows)
4. Install development dependencies: `pip install -r requirements-dev.txt`
5. Run tests: `pytest tests/`

## License

This project is licensed under the MIT License.
digitalhub-ml 0.8.0b0
Python SDK for DHCore ml layer
Requires Python: >=3.9
Keywords: data, dataops, kubernetes

# Digitalhub-ml Library

The Digitalhub-ml SDK library is used to manage entities and executions in Digitalhub from Python.
The Digitalhub-ml layer is the third layer of the Digitalhub ml platform, focused on machine learning functions.
It contains the ml entities and objects (Models) and the methods to manage them.

A more detailed description of the library can be found in the [official documentation](https://scc-digitalhub.github.io/docs/) of Digitalhub.
digitalhub-data 0.8.0b0
Python SDK for DHCore data layer
Requires Python: >=3.9
Keywords: data, dataops, kubernetes

# Digitalhub-data Library

The Digitalhub-data SDK library is used to manage entities and executions in Digitalhub from Python.
The Digitalhub-data layer is the second layer of the Digitalhub Data platform, focused on operations on data.
It contains the data entities and objects (Dataitems) and the methods to manage them.

A more detailed description of the library can be found in the [official documentation](https://scc-digitalhub.github.io/docs/) of Digitalhub.
my-deeptools-win 0.1.2
deeptools on windows
Requires Python: <4.0,>=3.10

## *deeptools in wondows*

based on bamnostic and pybigtools
-->
## :writing_hand: xpf

[![pipy](https://img.shields.io/badge/PIPY-0.1.1-green)](https://pypi.org/project/my-deeptools-win/)
[![github](https://img.shields.io/badge/GITHUB-0.1.1-green)](https://github.com/yang)
[![windows](https://img.shields.io/badge/WINDOWS-11-blue)](https://www.microsoft.com/zh-cn/windows/windows-11)
[![bamnostic](https://img.shields.io/badge/BAMNOSTIC-1.0.0-blue)](https://pypi.org/project/bamnostic/)