pyphene 1.0.10
A multithreaded graph runner
Requires Python: >=3.6

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  <h3 align="center">Pyphene</h3>

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<!-- TABLE OF CONTENTS -->
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      <a href="#about-the-project">About The Project</a>
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    <li>
      <a href="#getting-started">Getting Started</a>
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        <li><a href="#prerequisites">Prerequisites</a></li>
        <li><a href="#installation">Installation</a></li>
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    <li><a href="#usage">Usage</a></li>
    <li><a href="#roadmap">Roadmap</a></li>
    <li><a href="#contributing">Contributing</a></li>
    <li><a href="#license">License</a></li>
    <li><a href="#contact">Contact</a></li>
    <li><a href="#acknowledgments">Acknowledgments</a></li>
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<!-- ABOUT THE PROJECT -->
## About The Project

[![Product Name Screen Shot][product-screenshot]](https://example.com)

Pyphene is an open-source Python library that allows for the execution of Direct Acyclic Graph (DAG) workloads in-memory and multithreaded. The name "pyphene" is a combination of the words "Python" and "Graphene", reflecting the library's focus on providing an easy-to-use and efficient solution for working with DAGs in Python.

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<!-- GETTING STARTED -->
## Getting Started

You can install Pyphene with pip:

```python
pip install pyphene
```

### Prerequisites

The only prerequisite is to be running Python 3.6 or higher.

### Installation

You can install Pyphene with pip:

```python
pip install pyphene
```

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## Usage

Pyphene is really simple to use. You can instantiate the graph either from a JSON (not super supported) or declaratively with code:

```python
import time
from pyphene import graph

# Create a new DAG
pyph = graph.Graph()

def do_work(dep_input, states, event):
    print("Starting to work")
    time.sleep(2)
    print("Done!")

# Add tasks to the DAG
pyph.add_node("node_name1", [], do_work)
pyph.add_node("node_name2", ["node_name1"], do_work)

# Execute the DAG
pyph.run()
```

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- [ ] Add Additional Templates w/ Examples
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- [ ] Multi-language Support
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## Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!

1. Fork the Project
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5. Open a Pull Request

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## License

Distributed under the MIT License. See `LICENSE.txt` for more information.

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## Contact

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Project Link: [https://github.com/your_username/repo_name](https://github.com/your_username/repo_name)

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MIT License

Copyright (c) 2023 MOVING LAKE SAPI DE CV

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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