semvec/pypi-packages huggingface dataset:
DSTS 2.1.3
Official Python package implementation of the paper Doubly Structured Data Synthesis for Time-series Energy Use Data
Requires Python: >=3.6

# Doubly Structured Time-series Synthesis (DSTS)

This repository contains the official Python package implementation of **Doubly Structured Time-series Synthesis (DSTS)**.

## Installation

You can install the package via `pip`. Run the following command in your terminal:

```bash
pip install DSTS
```

## Usage

Below is a simple example to help you get started with the `DSTS` package.

### Import the package

```python
from DSTS import dsts
```

### Load your dataset

```python
data = ...  # Your dataset here
```

### Construct a DSTS model

```python
mixup_model = dsts(sort=True, centering='double')
```

### Fit the model to your data

```python
mixup_model.fit(train_data)
```

### Generate synthetic data

```python
generated_data = mixup_model.generate(aug=1)
```

---

## License

This project is licensed under the terms of the [MIT License](LICENSE).
sciopy 0.8.2
Python based interface module for communication with the Sciospec Electrical Impedance Tomography (EIT) device.
Keywords: Sciospec, EIT, EIS

<img src="https://raw.githubusercontent.com/spatialaudio/sciopy/main/doc/images/logo_sciopy.jpg" alt="Bildbeschreibung" width="200"/>

This package offers the serial interface for communication with an EIT device from ScioSpec. Commands can be written serially and the system response can be read out. With the current version, it is possible to start and stop measurements with defined burst counts and to read out the measurement data. In addition, the measurement data is packed into a data class for better further processing.


## Contact

If you have ideas or other advice don't hesitate to contact me!

Email: jacob.thoenes@uni-rostock.de
poaurk 0.6.0
Light Plurk API 2.0 Oauth Library
Requires Python: >=3.10

# poaurk

A lightweight Python client library for the Plurk API with OAuth 1.0a authentication and real-time Comet support.

## Features

- Full OAuth 1.0a authentication flow for Plurk API
- Command-line and customizable user interaction for OAuth verification
- Real-time updates and notifications via Comet long-polling
- Asyncio and aiohttp based for asynchronous HTTP requests
- Example scripts to help you get started quickly

## Requirements

- Python 3.8+
- aiohttp
- oauthlib

## Installation

Install the package via pip:

```bash
pip install poaurk
```

## Usage

### OAuth Authentication

```python
import asyncio
from aiohttp import ClientSession
from poaurk.oauth import OAuthCred, PlurkOAuth

async def main():
    async with ClientSession() as session:
        cred = OAuthCred(
            customer_key="YOUR_CONSUMER_KEY",
            customer_secret="YOUR_CONSUMER_SECRET"
        )
        client = PlurkOAuth(cred, session)
        await client.authorize()
        # Now you can use client to make authenticated API requests

asyncio.run(main())
```

### Real-time Updates with Comet

```python
import asyncio
from aiohttp import ClientSession
from poaurk.comet import PlurkComet, OAuthCred

async def comet_example():
    async with ClientSession() as session:
        cred = OAuthCred(
            customer_key="YOUR_CONSUMER_KEY",
            customer_secret="YOUR_CONSUMER_SECRET",
            token="YOUR_ACCESS_TOKEN",
            token_secret="YOUR_ACCESS_TOKEN_SECRET"
        )
        comet = PlurkComet(cred, session)
        async for update in comet.connect():
            print("Received update:", update)

asyncio.run(comet_example())
```

## Examples

See the [`examples/`](examples/) directory for example scripts, including basic authentication.

### Running the Basic Authentication Example

1. Set environment variables for `POAURK_TEST_KEY` and `POAURK_TEST_SECRET`.
2. Run the example script:

```bash
python examples/basic_auth.py
```

## Contributing

Contributions are welcome! Please open issues or submit pull requests on GitHub.

## License

This project is licensed under the terms of the MIT License. See the [LICENSE](LICENSE) file for details.
yt-fetcher 0.1
A simple CLI tool to download YouTube videos using yt-dlp.
Requires Python: >=3.6

# yt-downloader-new

A command-line tool to download YouTube videos or audio using yt-dlp.

## Installation

```bash
pip install yt-downloader-new
```
## Usage

yt-fetcher https://youtube.com/watch?v=xxxx

yt-fetcher https://youtube.com/watch?v=xxxx --audio