semvec/pypi-packages huggingface dataset:
marathon-device-service 0.0.2
A Python library to manage a device in Marathon Cloud.
Requires Python: >=3.6
Keywords: camera media upload service Marathon Cloud device emulator Android

# Marathon Device Service Library

The Marathon Device Service library provides a streamlined approach for managing Marathon Cloud devices exclusively within the Marathon Cloud ecosystem. 
For additional details about the Marathon Cloud, please visit [MarathonLabs site](https://marathonlabs.io).

## Installation

Ensure you have Python 3.6+ installed, then use pip to install:

```bash
pip install marathon-device-service
```

## Quick Start

To use the library:
```python
from marathon_device_service import MarathonDeviceService

# Initialize the service
service = MarathonDeviceService()

# Upload a media file to the device's camera
service.camera.uploadMedia('/path/to/media/file.mp4')
```

Replace the file path with the actual media file you wish to upload.

## Support

For issues or feature requests, please contact our support team (em@marathonlabs.io).
phonexia-speech-to-text-whisper-enhanced-client 1.1.0
Client for communication with Phonexia Speech To Text Whisper Enhanced microservice.
Requires Python: >=3.8,<4.0
Keywords: grpc,transcription,STT,ASR,speech to text,speech,language,microservice


![](https://www.phonexia.com/wp-content/uploads/PHX_logotype_basic_2016_positive_transparent_RGB.png)

# Phonexia speech to text whisper enhanced client

This module contains client for communication with [speech to text whisper enhanced](https://hub.docker.com/r/phonexia/speech-to-text-whisper-enhanced/) developed by [Phonexia](https://phonexia.com).

To use this client you will first need a running instance of any *Phonexia speech to text whisper enhanced microservice*. If you don't yet have any running instance, don't hesitate to [contact our sales department](mailto:info@phonexia.com).

You can learn more about the speech to text whisper enhanced technology [here](https://docs.cloud.phonexia.com/docs/category/speech-to-text--whisper-enhanced).

On [this page](https://docs.cloud.phonexia.com/docs/products/speech-platform-4/grpc/api/phonexia/grpc/technologies/speech_to_text_whisper_enhanced/v1/speech_to_text_whisper_enhanced.proto), you will find a *gRPC API* reference for *speech to text whisper enhanced microservice*.
sosstat 0.1.2
Information extractor from sos reports
Requires Python: >=3.8

# sosstat

Tool to extract statistics and sizing information from sos reports and database
dumps.

## Installation

```
pip install --user sosstat
```

## Usage

```
usage: sosstat [-h] [-d] [-f {dot,text,json}] PATH

Collect information from an sosreport and export it in other formats.

positional arguments:
  PATH                  Path to an uncompressed sosreport folder.

options:
  -h, --help            show this help message and exit
  -d, --debug           Show debug info.
  -f {dot,text,json}, --format {dot,text,json}
                        Output format (default: text).
```

## Generate Visual Representation

```
sosstat -f dot ~/tmp/sosreport | dot -Tsvg > sosreport.svg
```

Example:

![docs/example.png](https://git.sr.ht/~rjarry/sosstat/blob/main/docs/example.png)

## Development

Send questions, bug reports and patches to
[~rjarry/public-inbox@lists.sr.ht](https://lists.sr.ht/~rjarry/public-inbox).

```sh
git clone https://git.sr.ht/~rjarry/sosstat
cd sosstat
git config format.subjectPrefix "PATCH sosstat"
git config sendemail.to "~rjarry/public-inbox@lists.sr.ht"
```
pyapnea 0.1
Python package related to Apnea data analysis
Requires Python: >=3.10

# PyApnea v0.1

The Python package related to apnea data analysis.

This version contains functions to read session files from OSCAR software (https://www.sleepfiles.com/OSCAR/) and a pytorch dataset to read Oscar data.

tutorial and API documentation can be found on [ReadTheDocs](https://pyapnea.readthedocs.io/en/latest/)