semvec/pypi-packages huggingface dataset:
boto3-pydantic-athena 1.0.2
Pydantic models for AWS Athena
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, athena

# boto3-pydantic-athena

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Athena.
boto3-pydantic-artifact 1.0.2
Pydantic models for AWS Artifact
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, artifact

# boto3-pydantic-artifact

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Artifact.
boto3-pydantic-arc-zonal-shift 1.0.2
Pydantic models for AWS Arc_zonal_shift
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, arc_zonal_shift

# boto3-pydantic-arc_zonal_shift

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Arc_zonal_shift.
boto3-pydantic-apptest 1.0.2
Pydantic models for AWS Apptest
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, apptest

# boto3-pydantic-apptest

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Apptest.
boto3-pydantic-appsync 1.0.2
Pydantic models for AWS Appsync
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, appsync

# boto3-pydantic-appsync

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Appsync.
matholib 0.1.0
A simple math library
Requires Python: >=3.7

# matholib

MathoLib is a simple python library that performs mathematic operations easy way.

## Features

- Perform mathematics operations

## Usage

```python
from matholib import add

print(add([1, 2, 3]))  # Output: 6

# Creating virtual environment
# python3 -m venv path/to/venv
# source path/to/venv/bin/activate
# python3 -m pip install xyz
boto3-pydantic-appstream 1.0.2
Pydantic models for AWS Appstream
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, appstream

# boto3-pydantic-appstream

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Appstream.
ani-title 0.1.1
Get official anime titles from Kitsu API by name
Requires Python: >=3.6

# 🎌 Anime Title Fetcher

A lightweight Python script that fetches the original anime title (Japanese or English-Japanese) from a user-provided input using the Kitsu API.

## 🌟 Features

- ✅ Clean and minimal code.
- 🔎 Automatically corrects and formats the input.
- 🎴 Returns the official title (e.g., "demon slayer" ➜ "Kimetsu no Yaiba").
- ⚡ Built-in caching for faster repeated queries.
- 🌐 Uses the reliable Kitsu.io anime database.

---

## 📦 Requirements

- Python 3.7+
- requests library

Install requests if not already installed:

```bash
pip install requests
```

---

## How to Use

Import the function and call it with an anime name string:

```python
from ani-list import get_ani_title

title = get_ani_title("demon slayer")
print(title)  # Output: Kimetsu no Yaiba
```

---

## Examples

| Input            | Output               |
|------------------|----------------------|
| demon slayer     | Kimetsu no Yaiba     |
| attack on titan  | Shingeki no Kyojin   |
| one piece        | One Piece            |
| my hero academia | Boku no Hero Academia|
| naruto_shippuden | Naruto: Shippuden    |

---

## Credits

- Anime data fetched from the [Kitsu API](https://kitsu.io/api/edge/anime).
- Developed by [Arise](https://t.me/wxxoxo).
- Thanks to the open-source community for inspiration and support.
boto3-pydantic-apprunner 1.0.2
Pydantic models for AWS Apprunner
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, apprunner

# boto3-pydantic-apprunner

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Apprunner.
boto3-pydantic-appmesh 1.0.2
Pydantic models for AWS Appmesh
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, appmesh

# boto3-pydantic-appmesh

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Appmesh.
boto3-pydantic-applicationcostprofiler 1.0.2
Pydantic models for AWS Applicationcostprofiler
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, applicationcostprofiler

# boto3-pydantic-applicationcostprofiler

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Applicationcostprofiler.
boto3-pydantic-application-signals 1.0.2
Pydantic models for AWS Application_signals
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, application_signals

# boto3-pydantic-application_signals

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Application_signals.
boto3-pydantic-application-insights 1.0.2
Pydantic models for AWS Application_insights
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, application_insights

# boto3-pydantic-application_insights

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Application_insights.
boto3-pydantic-application-autoscaling 1.0.2
Pydantic models for AWS Application_autoscaling
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, application_autoscaling

# boto3-pydantic-application_autoscaling

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Application_autoscaling.
boto3-pydantic-appintegrations 1.0.2
Pydantic models for AWS Appintegrations
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, appintegrations

# boto3-pydantic-appintegrations

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Appintegrations.
ProjectCodebaseToJsonl 2025.5.181247
A package to convert project codebases into JSONL format for GPT model training.
Requires Python: >=3.6

[![PyPI version](https://badge.fury.io/py/ProjectCodebaseToJsonl.svg)](https://badge.fury.io/py/ProjectCodebaseToJsonl)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![Downloads](https://static.pepy.tech/badge/ProjectCodebaseToJsonl)](https://pepy.tech/project/ProjectCodebaseToJsonl)
[![LinkedIn](https://img.shields.io/badge/LinkedIn-blue)](https://www.linkedin.com/in/eugene-evstafev-716669181/)

# ProjectCodebaseToJsonl

`ProjectCodebaseToJsonl` is a Python package designed to convert project codebases into JSONL format. This is particularly useful for preparing data for training GPT models, as it allows for the easy transformation of existing project structures and code into a format compatible with machine learning pipelines.

## Installation

To install `ProjectCodebaseToJsonl`, you can use pip:

```bash
pip install ProjectCodebaseToJsonl
```

## Usage

### As a Python Module

You can use `ProjectCodebaseToJsonl` as a module in your Python scripts.

Example:

```python
from codebase_to_jsonl import generate_jsonl_for_project

# Generate JSONL for a project
project_data = generate_jsonl_for_project(
    project_path="path_to_your_project",
    project_name="YourProjectName",
    use_gitignore=True,
    validation_ratio=0.4
)

print("Project Data Generated:")
print(project_data)
```

### Customizing Your Generator

You can customize the behavior of `ProjectCodebaseToJsonl` by adjusting parameters like `use_gitignore` and `validation_ratio` to suit the specific needs of your codebase and desired dataset characteristics.

## Output Example

Running `ProjectCodebaseToJsonl` generates JSONL files for both training and validation, structured to facilitate GPT model training. Here's an example of the output structure:

```
{
    "project_name": "YourProjectName",
    "token_count": 12345,
    "training_file": "YourProjectName_training_20240101_123456.jsonl",
    "validation_file": "YourProjectName_validation_20240101_123456.jsonl"
}
```

## Contributing

Contributions, issues, and feature requests are welcome! Feel free to check [issues page](https://github.com/chigwell/ProjectCodebaseToJsonl/issues).

## License

[MIT](https://choosealicense.com/licenses/mit/)
boto3-pydantic-appflow 1.0.2
Pydantic models for AWS Appflow
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, appflow

# boto3-pydantic-appflow

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Appflow.
boto3-pydantic-appfabric 1.0.2
Pydantic models for AWS Appfabric
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, appfabric

# boto3-pydantic-appfabric

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Appfabric.
boto3-pydantic-appconfigdata 1.0.2
Pydantic models for AWS Appconfigdata
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, appconfigdata

# boto3-pydantic-appconfigdata

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Appconfigdata.
zendata 0.1.1
Add your description here
Requires Python: >=3.13


# Zendata

## 📦 Zendata Framework

A lightweight Python library that standardizes **input and output data** handling across data processing pipelines. It provides a clean structure for defining **tasks** and **services** using [Pydantic](https://docs.pydantic.dev/) to validate both input and output data types at runtime.

---

### ✨ Features

* ✅ Enforces strict typing and validation using `pydantic`
* ⚙️ Separates business logic from data structure
* 🔁 Reusable services with runtime checks
* 🧪 Simple to test and extend

---

### 📚 Why Use This?

When working with data pipelines, it's common to pass data between stages without validating it — leading to subtle bugs or type mismatches.
This framework provides a standard way to wrap each step in a **Task** that holds both input and output, and a **Service** that processes data while validating contracts.

---

### 🚀 Quick Start

#### 1. Define a Task

```python
from zendata.tasks.base import BaseTask, TaskStatus

task_definition = BaseTask(
    name="Task",
    input=int,
    output=int,
)
```

#### 2. Create a Service

```python
from zendata.tasks.service import Service, 
from zendata.tasks.task import Task, TaskStatus

class MyService(Service):
    def apply(self, task: Task) -> Task:
        # Your core logic
        task.output_data = task.input_data * 2
        return task
```

#### 3. Run the Service

```python
service = MyService(task_definition=task_definition, name="MultiplyByTwo")

result_task: Task = service.run(123)  # Will raise if types mismatch
print(result_task.output_data)
```

---

### 📦 Install

```bash
uv sync
```

---

### 🧪 Testing

```bash
make test
```
boto3-pydantic-appconfig 1.0.2
Pydantic models for AWS Appconfig
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, appconfig

# boto3-pydantic-appconfig

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Appconfig.
boto3-pydantic-apigatewayv2 1.0.2
Pydantic models for AWS Apigatewayv2
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, apigatewayv2

# boto3-pydantic-apigatewayv2

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Apigatewayv2.
boto3-pydantic-apigatewaymanagementapi 1.0.2
Pydantic models for AWS Apigatewaymanagementapi
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, apigatewaymanagementapi

# boto3-pydantic-apigatewaymanagementapi

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Apigatewaymanagementapi.
boto3-pydantic-apigateway 1.0.2
Pydantic models for AWS Apigateway
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, apigateway

# boto3-pydantic-apigateway

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Apigateway.
boto3-pydantic-amplifyuibuilder 1.0.2
Pydantic models for AWS Amplifyuibuilder
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, amplifyuibuilder

# boto3-pydantic-amplifyuibuilder

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Amplifyuibuilder.
boto3-pydantic-amplifybackend 1.0.2
Pydantic models for AWS Amplifybackend
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, amplifybackend

# boto3-pydantic-amplifybackend

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Amplifybackend.
boto3-pydantic-amplify 1.0.2
Pydantic models for AWS Amplify
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, amplify

# boto3-pydantic-amplify

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Amplify.
boto3-pydantic-amp 1.0.2
Pydantic models for AWS Amp
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, amp

# boto3-pydantic-amp

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Amp.
boto3-pydantic-acm-pca 1.0.2
Pydantic models for AWS Acm_pca
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, acm_pca

# boto3-pydantic-acm_pca

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Acm_pca.
boto3-pydantic-acm 1.0.2
Pydantic models for AWS Acm
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, acm

# boto3-pydantic-acm

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Acm.
boto3-pydantic-account 1.0.2
Pydantic models for AWS Account
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, account

# boto3-pydantic-account

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Account.
boto3-pydantic-accessanalyzer 1.0.2
Pydantic models for AWS Accessanalyzer
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, accessanalyzer

# boto3-pydantic-accessanalyzer

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Accessanalyzer.
armory9 0.1.0
Add your description here
Requires Python: >=3.9

# 코딩 에이전트 툴킷 (Coding Agent Toolkit)

파이썬 개발을 위한 코딩 에이전트 툴킷 라이브러리입니다. 이 라이브러리는 코드 컨텍스트 관리, 코드 분석, 코드 생성 등의 기능을 제공합니다.

## 주요 기능

- 코드 컨텍스트 관리
- AST(추상 구문 트리) 기반 코드 분석
- 코드 생성 및 변환
- 프로젝트 구조 분석

## 설치 방법

```bash
pip install coding-agent-toolkit
```

## 사용 예시

```python
from coding_agent_toolkit import CodeContext, CodeAnalyzer

# 코드 컨텍스트 로드
context = CodeContext("my_project/")

# 코드 분석
analyzer = CodeAnalyzer(context)
functions = analyzer.find_functions("module_name")
```
firebat23 0.1.0
academy is a tool for code agents
Requires Python: >=3.9

# 코딩 에이전트 툴킷 (Coding Agent Toolkit)

파이썬 개발을 위한 코딩 에이전트 툴킷 라이브러리입니다. 이 라이브러리는 코드 컨텍스트 관리, 코드 분석, 코드 생성 등의 기능을 제공합니다.

## 주요 기능

- 코드 컨텍스트 관리
- AST(추상 구문 트리) 기반 코드 분석
- 코드 생성 및 변환
- 프로젝트 구조 분석

## 설치 방법

```bash
pip install coding-agent-toolkit
```

## 사용 예시

```python
from coding_agent_toolkit import CodeContext, CodeAnalyzer

# 코드 컨텍스트 로드
context = CodeContext("my_project/")

# 코드 분석
analyzer = CodeAnalyzer(context)
functions = analyzer.find_functions("module_name")
```
igz-mgmt 0.4.2
Python SDK For Iguazio Management API
Requires Python: >=3.9

# igz-mgmt-sdk

SDK for Iguazio Management API

## Installation

Igz-mgmt can be installed by running `pip install igz-mgmt`.

## License

Apache License, Version 2.0

## Documentation

Please see [Documentation](https://iguazio.github.io/igz-mgmt-sdk/) for more information
evtool 0.0.4
Analyse and display output from the binary stellar-evolution code ev (a.k.a. STARS and TWIN).
Keywords: astrophysics, stellar evolution, binary evolution, stellar model, binary model

# evTool #

![PyPI](https://img.shields.io/pypi/v/evtool?color=%230A0) ![PyPI -
Downloads](https://img.shields.io/pypi/dm/evtool) [![Documentation
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Analyse and display output from the binary stellar-evolution code ev (a.k.a. STARS and TWIN).

The code is being developed by [Marc van der Sluys](http://marc.vandersluys.nl) of the Department of Physics
at Utrecht University in The Netherlands, and the Netherlands Institute of Nuclear and High-Energy Physics
(Nikhef) in Amsterdam.  The evTool package can be used under the conditions of the [EUPL
1.2](https://www.eupl.eu/1.2/en/) licence.


## Installation ##

This package can be installed using `pip install evtool`.  This should automatically install the
dependency packages `pandas`, if they haven't been installed already.  If you are
installing by hand, ensure that these packages are installed as well.


## Example use ##

```python
"""Example Python script using the evTool package."""

import evtool

```

## evTool pages ##

* [Pypi](https://pypi.org/project/evtool/): evTool Python package
* [GitHub](https://github.com/MarcvdSluys/evTool/): evTool source code
* [ReadTheDocs](https://evtool.readthedocs.io/): evTool documentation


## Author and licence ##

* Author: Marc van der Sluys
* Contact: http://marc.vandersluys.nl
* Licence: [EUPL 1.2](https://www.eupl.eu/1.2/en/)


## References ##


<sub>Copyright (c) 2023 Marc van der Sluys</sub>