semvec/pypi-packages huggingface dataset:
mkdocs-gitlab-wiki-edit-url 0.0.2
MkDocs plugin for using Edit URLs compatible with Gitlab Wiki
Requires Python: >=3.9

# MKDocs Gitlab Wiki Edit Url Support

This plugin is to enable mkdocs to produce output that uses the Gitlab Wiki-style edit URL's, e.g. https://gitlab.com/project/repo/-/wikis/some/path?edit=true
You will need to set repo_url to your wiki URL, e.g. https://gitlab.com/project/repo/wiki. The plugin will use repo_url/<path>?edit=true as the URL style.

# Install

- Use `pip install mkdocs-gitlab-wiki-edit-url`
- Add the plugin to your `mkdocs.yml`, e.g.:
```
plugins:
  - search
  - gitlab-wiki-edit-url
```

# Origin

This plugin is inspired by and forked from [mkdocs-github-wiki-edit-url](https://github.com/MichelZ/mkdocs-github-wiki-edit-url).
zip2zip-compression 0.3.3
A high-performance LZW compression library built for [zip2zip](https://arxiv.org/abs/2506.01084).
Requires Python: >=3.8

# zip2zip-compression

> **zip2zip: Inference-Time Adaptive Vocabularies for Language Models via Token Compression** \
> Saibo Geng, Nathan Ranchin, Yunzhen Yao, Maxime Peyrard, Chris Wendler, Michael Gastpar, Robert West \
> Paper: https://arxiv.org/abs/2506.01084

## About

This package provides a high-performance LZW compression library with Python bindings. It is designed to be used as part of the [zip2zip](https://github.com/epfl-dlab/zip2zip) project, where it provides efficient, high-performance compression capabilities.

We developed a new variant of the Lempel-Ziv-Welch (LZW) compression algorithm that doesn't need perfectly encoded input to decode. This allows the algorithm to decode (or decompress) generated sequences from a Large Language Model (LLM) without the need to store the entire compression codebook.

## Installation

### From PyPI

```bash
pip install zip2zip-compression
```

### From source (Rust required)

Make sure you have the Rust toolchain installed.

```bash
pip install maturin
maturin build --release
```

## Documentation

See the [docs](./docs) folder for more information:
- [Algorithm](./docs/algorithm.md)
- [Debug](./docs/debug.md)

## Example Usage

You can find usage examples in the [example](./example) folder.
gr_tradinggame 0.1.12
Add your description here
Requires Python: >=3.11

# Trading game for recruitment events. 

## Installation

`pip install gr-tradinggame`

### Manual game

1. Run the code in `notebooks/example_manual.ipynb` in a notebook (looks best on Colab, with fullscreen cell display). [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/soerenwolfers/gr_tradinggame/blob/main/notebooks/example_manual.ipynb)

2. Have teams shout / show their decisions and enter them by clicking buttons. 

### Coding game

1. Run the code in `notebooks/example_server.ipynb`. [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/soerenwolfers/gr_tradinggame/blob/main/notebooks/example_server.ipynb)



2. The output will contain `Serving <id>`. Give that `id` to the teams and have them test and submit their solutions with that `id` as in `notebooks/example_client.ipynb`. [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/soerenwolfers/gr_tradinggame/blob/main/notebooks/example_clients.ipynb)

3. Run the remaining cells in your server notebook to see who wins.
django-js-lib-vega-embed 6.29.0.3
Vega Embed for Django

# Vega Embed for Django

[Vega Embed](https://github.com/vega/vega-embed) packaged in a Django reusable app.

This package includes the original JS and CSS files from vega, vega-lite and vega-embed.

- Vega: 5.33.0
- Vega Lite: 5.23.0
- Vega Embed: 6.29.0


## Installation

    pip install django-js-lib-vega-embed

## Usage

1. Add `"js_lib_vega_embed"` to your `INSTALLED_APPS` setting like this::

       INSTALLED_APPS = [
           ...
           "js_lib_vega_embed",
           ...
       ]

2. In your template use:
   
       {% load static %}
   
   ...
   
       <script src="{%static "js_lib_vega_embed/vega-embed-full.js" %}"></script>

   or:

       <script src="{%static "js_lib_vega_embed/vega5.js" %}"></script>
       <script src="{%static "js_lib_vega_embed/vega-lite5.js" %}"></script>
       <script src="{%static "js_lib_vega_embed/vega-embed6.js" %}"></script>