semvec/pypi-packages huggingface dataset:
AssetStudioPy 0.0.4
A pythonnet wrapper around AssetStudio
Keywords: python,unity,unity-asset,python3,data-minig,unitypack,assetstudio,unity-asset-extractor

# AssetStudioPy

## Installation

1. install all requirements
2. run
```
pip install git+https://github.com/K0lb3/AssetStudioPy.git
```

## Requirements

### Software (to be installed by the user)
- [Python 3.6+](https://www.python.org/downloads/)
- [.net 6.0](https://docs.microsoft.com/en-us/dotnet/core/install/)
- [git](https://git-scm.com/downloads)

### Python Packages (will be installed by the setup)
- [pythonnet 3](https://github.com/pythonnet/pythonnet)
- [Pillow](https://pypi.org/project/Pillow/)

## Examples

TODO

check the [tests](tests/test.py) for now
MapRenderCache 0.2
mapnik render cache
Keywords: mapnik render cache

# MapRenderCache

## features

- [X] rendering
- [X] caching
- [X] python bindings

## install

`pip3 install MapRenderCache`

## usage

```python
from MapRenderCache import MapRenderCache

stylesheet = "mapnik.xml"
caching_directory = "/tmp/cache"
tile_width = 512
tile_height = 512
cache = MapRenderCache(stylesheet, caching_directory, tile_width, tile_height)

# This will create a directory 'cache' in the current working directory
# cache = MapRenderCache(stylesheet, tile_width, tile_height) 
```
epiphancloud 2.0.2
Python wrappers for Epiphan Cloud public API
Requires Python: >=3.6

# Epiphan Cloud API

This repo contains:

- `/epiphancloud`: Python wrapper for Epiphan Cloud API
- `/docs`: API reference
- `/examples/full_lifecycle.py`: Usage example

## Installation

```
$ git clone https://github.com/epiphan-video/epiphancloud_api.git
$ cd epiphancloud_api
$ pip install -r requirements.txt
```

## Documentation

API documentation is available via Github Pages: [https://epiphan-video.github.io/epiphancloud_api](https://epiphan-video.github.io/epiphancloud_api/)


### How to update docs

Documentation source is stored in `docs-source-slate` folder.

1) Build a slate builder container (once):

```shell
$ cd slate
$ docker build -t slate-builder .
```

2) (optional) Start doc server:
```bash
docker run -it --rm \
  -v $(pwd)/docs-source-slate/:/slate/source \
  -v $(pwd)/docs:/slate/build \
  -p 4567:4567 \
  slate-builder bundle exec middleman server
```

...and open http://localhost:4567/ in your browser.

3) When editing is done, use the container to build static docs:

```bash
docker run -it --rm -v $(pwd)/docs-source-slate/:/slate/source -v $(pwd)/docs:/slate/build slate-builder
```

This command will update files in `docs` folder, if necessary.

3) git commit and push

### Exporting notebook tutorial:

```
jupyter nbconvert --to html --execute device_api.ipynb --ExecutePreprocessor.timeout=-1
```