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# WecOptTool
The Wave Energy Converter Design Optimization Toolbox (WecOptTool) allows users to perform wave energy converter (WEC) device design optimization studies with constrained optimal control.
**NOTE:** If you are looking for the WecOptTool code used in previous published work (MATLAB version) please see [WecOptTool-MATLAB](https://github.com/SNL-WaterPower/WecOptTool-MATLAB).
## Project Information
Refer to [WecOptTool documentation](https://sandialabs.github.io/WecOptTool/) for more information, including project overview, tutorials, theory, and API documentation.
## Getting started
**If you are brand new to Python and/or want detailed installation instructions, [click here](https://github.com/sandialabs/WecOptTool/blob/main/INSTALLATION.md).**
WecOptTool requires Python >= 3.8. Python 3.10 & 3.11 are supported.
It is strongly recommended you create a dedicated virtual environment (e.g., using [`conda`](https://www.anaconda.com/), [`mamba`](https://mamba.readthedocs.io/en/latest/), `venv`, etc.) before installing WecOptTool.
From your dedicated environment, you can install WecOptTool via `conda`, `pip`, or `mamba`:
**Option 1** - using `Conda`:
```bash
conda install -c conda-forge wecopttool
```
**Option 2** - using `pip` (requires Fortran compilers on your system):
```bash
pip install wecopttool
```
**Option 3** - using `Mamba`:
```bash
mamba install wecopttool
```
**Geometry module and tutorials**
To use our geometry examples, including for running the tutorials, you will need to install some additional dependencies.
For the tutorials you will also need to install `jupyter`.
```bash
pip install wecopttool[geometry] jupyter
```
or on a Mac (`Zsh` shell)
```bash
pip install wecopttool\[geometry] jupyter
```
## Tutorials
The tutorials can be found in the `examples` directory and are written as [Jupyter Notebooks](https://jupyter.org/).
To run the tutorials, first download the notebook files and then, from the directory containing the notebooks, run `jupyter notebook`.
Using `git` to obtain the notebooks this can be done by running
```bash
git clone https://github.com/sandialabs/WecOptTool.git
cd WecOptTool/examples
jupyter notebook
```
## Getting help
To report bugs, use WecOptTool's [issues page](https://github.com/sandialabs/WecOptTool/issues).
For general discussion, use WecOptTool's [discussion page](https://github.com/sandialabs/WecOptTool/discussions)
## Contributing
If you are interested in contributing to WecOptTool, see our [contribution guidelines](https://github.com/sandialabs/WecOptTool/blob/main/.github/CONTRIBUTING.md).
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"description": "[](https://github.com/sandialabs/WecOptTool/actions/workflows/push.yml)\n[](https://coveralls.io/github/sandialabs/WecOptTool?branch=main)\n\n# WecOptTool\nThe Wave Energy Converter Design Optimization Toolbox (WecOptTool) allows users to perform wave energy converter (WEC) device design optimization studies with constrained optimal control.\n\n**NOTE:** If you are looking for the WecOptTool code used in previous published work (MATLAB version) please see [WecOptTool-MATLAB](https://github.com/SNL-WaterPower/WecOptTool-MATLAB).\n\n## Project Information\nRefer to [WecOptTool documentation](https://sandialabs.github.io/WecOptTool/) for more information, including project overview, tutorials, theory, and API documentation.\n\n## Getting started\n**If you are brand new to Python and/or want detailed installation instructions, [click here](https://github.com/sandialabs/WecOptTool/blob/main/INSTALLATION.md).**\n\nWecOptTool requires Python >= 3.8. Python 3.10 & 3.11 are supported.\nIt is strongly recommended you create a dedicated virtual environment (e.g., using [`conda`](https://www.anaconda.com/), [`mamba`](https://mamba.readthedocs.io/en/latest/), `venv`, etc.) before installing WecOptTool.\n\nFrom your dedicated environment, you can install WecOptTool via `conda`, `pip`, or `mamba`:\n\n**Option 1** - using `Conda`:\n\n```bash\nconda install -c conda-forge wecopttool\n```\n\n**Option 2** - using `pip` (requires Fortran compilers on your system):\n\n```bash\npip install wecopttool\n```\n\n**Option 3** - using `Mamba`:\n\n```bash\nmamba install wecopttool\n```\n\n**Geometry module and tutorials**\n\nTo use our geometry examples, including for running the tutorials, you will need to install some additional dependencies. \nFor the tutorials you will also need to install `jupyter`. \n\n```bash\npip install wecopttool[geometry] jupyter\n```\n\nor on a Mac (`Zsh` shell)\n\n```bash\npip install wecopttool\\[geometry] jupyter\n```\n\n## Tutorials\nThe tutorials can be found in the `examples` directory and are written as [Jupyter Notebooks](https://jupyter.org/).\nTo run the tutorials, first download the notebook files and then, from the directory containing the notebooks, run `jupyter notebook`.\nUsing `git` to obtain the notebooks this can be done by running\n\n```bash\ngit clone https://github.com/sandialabs/WecOptTool.git\ncd WecOptTool/examples\njupyter notebook\n```\n\n## Getting help\nTo report bugs, use WecOptTool's [issues page](https://github.com/sandialabs/WecOptTool/issues).\nFor general discussion, use WecOptTool's [discussion page](https://github.com/sandialabs/WecOptTool/discussions)\n\n## Contributing\nIf you are interested in contributing to WecOptTool, see our [contribution guidelines](https://github.com/sandialabs/WecOptTool/blob/main/.github/CONTRIBUTING.md).\n",
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