semvec/pypi-packages huggingface dataset:
dynamicdns 0.1.1
Collection of Dynamic DNS providers
Requires Python: >=3.8

# DynamicDNS

[![PyPI - Version](https://img.shields.io/pypi/v/dynamicdns.svg)](https://pypi.org/project/dynamicdns)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dynamicdns.svg)](https://pypi.org/project/dynamicdns)

-----

## Table of Contents

- [DynamicDNS](#dynamicdns)
  - [Table of Contents](#table-of-contents)
  - [Installation](#installation)
  - [License](#license)

## Installation

```console
pip install dynamicdns
```

## License

`dynamicdns` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
sim-sci-test-monorepo-core 0.0.13
Core functionality for sim_sci_test_monorepo
Requires Python: <3.12,>=3.10

# sim_sci_test_monorepo.core

Core functionality for the sim_sci_test_monorepo namespace package.

## Installation

```bash
pip install sim-sci-test-monorepo-core
```

## Usage

```python
from sim_sci_test_monorepo.core import ...
```
rusty-manga-image-translator 0.12.1
Rust implementation of manga-image-translator with py-bindings
Requires Python: >=3.9
Keywords: manga, image-processing, rust, python, translator

# Python interface for manga-image-translator rust runtime

[Feel free to contribute](https://github.com/frederik-uni/manga-image-translator-rust)

```py
from rusty_manga_image_translator import Session, PyPreprocessorOptions, PyDefaultOptions, PyImage
#import numpy as np
#from PIL import Image

# det = Session(["cuda", "directml", "tensorrt", "coreml"])
ses = Session(None)

# det = ses.convnext_detector()
det = ses.default_detector()

o1 = PyPreprocessorOptions(False, False, False, False)
o2 = PyDefaultOptions(2048, 2.3, 0.5, 0.7)


if (not det.loaded()):
    det.load()


# img = PyImage.from_numpy(np.array(Image.open("./imgs/232264684-5a7bcf8e-707b-4925-86b0-4212382f1680.png")))
img = PyImage("./imgs/232264684-5a7bcf8e-707b-4925-86b0-4212382f1680.png")
import time

areas, mask = det.detect(img, o1, o2)

det.unload()

```
dandelion-data-schema 1.5.2
pydantic data structure expected by the Dandelion Algorithm Validation Service
Requires Python: >=3.9

# Dandelion Data Schema

The Dandelion Data Schema describes the structure of data used in the Data Validation Service provided by Dandelion Health.

## Example usage

Load an example dataset into python.

```python
import json
from dandelion_data_schema.record import Record

with open('tests/data/dataset.json', 'r') as fp:
    dataset = json.load(fp)

dataset = Record.model_validate(dataset)
```

## Distribute on pypi

```bash
python3 -m build --sdist --wheel
python3 -m twine upload --skip-existing dist/*
```