semvec/pypi-packages huggingface dataset:
arrakis-server 0.6.0
Arrakis server
Requires Python: >=3.11

<h1 align="center">arrakis-server</h1>

<p align="center">Arrakis server</p>

<p align="center">
  <a href="https://git.ligo.org/ngdd/arrakis-server/-/pipelines/latest">
    <img alt="ci" src="https://git.ligo.org/ngdd/arrakis-server/badges/main/pipeline.svg" />
  </a>
  <a href="https://git.ligo.org/ngdd/arrakis-server/-/pipelines/latest">
    <img alt="ci" src="https://git.ligo.org/ngdd/arrakis-server/badges/main/coverage.svg" />
  </a>
  <a href="https://ngdd.docs.ligo.org/arrakis-server/">
    <img alt="documentation" src="https://img.shields.io/badge/docs-mkdocs%20material-blue.svg?style=flat" />
  </a>
  <a href="https://pypi.org/project/arrakis-server/">
    <img alt="pypi version" src="https://img.shields.io/pypi/v/arrakis-server.svg" />
  </a>

</p>

---

## Installation

```
pip install arrakis-server
```

## Docker

```
docker run --net=host -it docker://containers.ligo.org/ngdd/arrakis-server:main
```

## Features

TODO

## Quickstart

1. Run `arrakis-server mock`.
2. Make client requests through the [Arrakis client library](https://git.ligo.org/ngdd/arrakis-python).
3. Shut down the server instance with Ctrl-C.
auditwheel-get-external-deps 0.0.1
List external dependencies with auditwheel.
Requires Python: >=3.8

# auditwheel-get-external-deps

This is a small program that gets the external dependencies of a Python wheel
using [`auditwheel`](https://github.com/pypa/auditwheel); it is suitable for
determining what dependencies `auditwheel repair` could "graft" into the
repaired wheel.

This package itself depends on `auditwheel` and also includes some code based on
`auditwheel`'s but is *not* affiliated with the authors of that software.

## Installation

```python
python -m pip install auditwheel-get-external
```

## Usage

```python
python -m auditwheel-get-external-deps WHEEL --plat PLAT
```

To use `auditwheel-get-external-deps`, provide a Python wheel containing a
native Python extension and the target platform that would be used with
`auditwheel` repair.
rugbyDatabase 0.1.24
Python package to access rugby datasets.
Requires Python: >=3.8

# rugbyDatabase

Python package to access rugby datasets.

## Install
```bash
pip install rugbyDatabase
```
## Usage
```python
from rugbyDatabase import get_unique_teams

teams = get_unique_teams()
print(teams)

#OUTPUT
[['Algeria', 101], 
 ['Andorra', 102], 
 ['Argentina', 103], 
 ['Australia', 104]]
```
```python
from rugbyDatabase import get_home_teams

home_teams = get_home_teams()
print(home_teams)
```
```python
from rugbyDatabase import get_teams_by_home_team_form

teams = get_teams_by_home_team_form("France") #incomplet 
print(teams)
```

```python
from rugbyDatabase import get_players_by_team

france_players = get_players_by_team(102) # team_id instead of team name
print(france_players)
```

```python 
from rugbyDatabase import get_player_important_info

info = get_player_important_info("Antoine Dupont") #incomplet
print(info)

#OUTPUT
{
  'player_id': 12345,
  'player_name': 'Antoine Dupont',
  'team': 'France',
  'team_id': 101,
  'position': 'Scrum-half',
  'weight_kg': 85,
  'height_cm': 174,
  'carries': 12.4,
  'metres_carried': 78.2,
  'tries': 0.6,
  'tackles_made': 9.1,
  'turnovers_won': 1.3,
  'penalties_conceded': 0.8,
  'yellow_cards': 0.1,
  'red_cards': 0.0
}
```
Foldpro 1.1.0
A program to make organized copies of your folders.
Requires Python: >=3.9
Keywords: folders, organization, macOS

# Foldpro
Have you ever wished you could parse your directories and find specific types of files?
Foldpro lets you do exactly that. Give it the path to a folder you'd like to organize, and it will create an organized copy under `~/Foldpro Copies`.

These organized copies can be categorized into one (or all) of the following:
- Pictures
- Code Files
- Downloads From Terminal
- Others

# Prerequisites
- Running macOS
- Python 3.9 or higher

# How to Use
1. Install Foldpro: pip3 install foldpro
2. Run this command in your terminal: foldpro the/path/to/a/folder
3. Go to `~/Foldpro Copies` to view the organized copy

# Optional Arguments
If you would like to organize your folders into only one of the categories(e.g.photos only) run the foldpro comamnd with the -m optional argument:
// For photos only:
foldpro -m p the/path

// For code files only:
foldpro -m c the/path

// For others only:
foldpro -m o the/path

// For downloads from terminal only:
foldpro -m d the/path



# How Foldpro Works
Here are some details about how Foldpro organizes your files:

1. In `all` mode, only folders containing categorized files will remain in the organized copy. Empty folders are removed for neatness.
2. If files in the copy share the same name, Foldpro appends digits to avoid collisions.
3. Symlinks are organized based on their targets. Symlinks whose targets are directories or do not exist will be placed in the `Others` folder to prevent clutter.
rag-local-mcp-server 0.1.1
Local RAG MCP Server
Requires Python: >=3.11

# Build a MCP Server 
A complete walkthrough on how to build a MCP server to serve 

# Startup MCP Server 🚀
1. Clone this repo 
`cd BuildMCPServer`\
`uv venv`\
`source .venv/bin/activate`\
`uv add .`\
`uv add ".[dev]"`\
`uv run mcp dev server.py`
3. To run the agent, in a separate terminal, run:\
`source .venv/bin/activate`\