%global _empty_manifest_terminate_build 0
Name:		python-PteraSoftware
Version:	2.2.1
Release:	1
Summary:	This is an open-source, unsteady aerodynamics solver for analyzing flapping-wing flight.
License:	MIT
URL:		https://github.com/camurban/pterasoftware
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/44/67/106aae9a437b95c6ab4407b3206ed8affd9faeff3cc09b7b8898047824dd/PteraSoftware-2.2.1.tar.gz
BuildArch:	noarch

Requires:	python3-matplotlib
Requires:	python3-numpy
Requires:	python3-pyvista
Requires:	python3-scipy
Requires:	python3-numba
Requires:	python3-cmocean
Requires:	python3-tqdm
Requires:	python3-webp

%description
![Logo](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/Logo.png)

***

![build](https://img.shields.io/travis/camUrban/PteraSoftware/master)
![coverage](https://img.shields.io/codecov/c/gh/camUrban/PteraSoftware/master)
![code quality](https://img.shields.io/codefactor/grade/github/camUrban/PteraSoftware/master)
![source rank](https://img.shields.io/librariesio/sourcerank/pypi/PteraSoftware?color=blue&label=source%20rank)
![license](https://img.shields.io/github/license/camUrban/PteraSoftware?color=blue)
![code style](https://img.shields.io/badge/code%20style-black-black)

***

![Example Unsteady Formation Flight](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20variable%20formation/Animate.webp)

This is Ptera Software: a fast, easy-to-use, and open-source package for analyzing 
flapping-wing flight.

## Motivation

In late 2018, I became curious about biological flight. To sate this curiosity, I 
wanted to computationally simulate some flapping-wing fliers. I quickly realized I had 
two options:

1. Spend thousands of dollars on a closed-source CFD program, which would take hours to 
solve a simple case.
2. Try to learn someone else's open-source, unsteady solver written in a language I 
didn't know, or using a framework that is overly complicated for my use case.

Neither of these seemed like the right choice.

Thankfully, my friend, Peter Sharpe, had just released his own open-source aerodynamics 
solver: AeroSandbox. With his support, I have used AeroSandbox as a jumping-off point 
to develop a solver package capable of unsteady simulations.

Through the combined efforts of Peter Sharpe, Suhas Kodali, and me, Ptera Software was 
born. It is an easy-to-use, open-source, and actively-maintained UVLM package capable 
of analyzing flapping-wing flight. Moreover, it's written in Python, is well 
documented, tested, and validated.

With your help, I hope we will increase the open-source community's interest and 
understanding of biological flight.

## Features

1. Various Aerodynamic Simulation Methods
   * Steady simulations can be run with a standard horseshoe vortex-lattice method 
   (VLM) or a ring VLM.
   * Unsteady simulations use a ring unsteady VLM (UVLM) solver.
   * Unsteady simulations support both fixed and free wakes.
   * Unsteady simulations implement vortex aging to reduce numerical instabilities.
2. Customizable Aircraft Geometry
   * Aircraft can be defined as a collection of one or more wings of any dimensions and 
   positions.
   * Wings can be defined as a collection of two or more wing cross sections of any 
   dimensions and positions.
   * Wing cross sections can be specified to match the mean camber line of an airfoil.
   * The package comes with a massive database of airfoil to chose from.
   * Wings are automatically discretized into panels with customizable sizes and 
   spacings.
3. Customizable Aircraft Motion
   * The relative motion of wings and wing cross sections can be defined using any 
   time-dependent functions of sweep, pitch, and heave angles.
4. Customizable Operating Points
   * Parameters such as the free-stream velocity, density, angle of attack, angle of 
   sideslip, etc. can be changed by the user.
5. High-Speed Simulations
   * Using Just-In-Time compilation, Ptera Software can solve many unsteady 
   flapping-wing simulations in less than a minute!
   * Steady simulations take only seconds!
6. Simulations of Formation Flight
   * Since v2.0.0, Ptera Software has supported simulations with more than one 
   airplane.
   * This feature can be used to analyze the aerodynamics of flapping-wing formation 
   flight!
7. Features for Flapping-Wing Vehicle Design
   * Ptera Software is focused on developing features to facilitate designing 
   flapping-wing vehicles.
   * For example, use the functions in the trim module to automatically search for a 
   trim operating point for steady and unsteady simulations of aircraft. 

## Installation and Use

First things first, you will need a copy of Python 3.8. Python 3.9 is not yet supported 
due to a dependency issue in VTK. Download Python 3.8 from the official Python website. 
At this time, I do not recommend using a version from the Anaconda distribution as it 
could introduce compatibility issues with PyPI.

There are two ways to use Ptera Software. The first is by downloading GitHub release, 
which will provide you your own copy of the source code, in which you can get a feel 
for how it works (this can also be accomplished by forking the main branch). The second 
is by importing the Ptera Software package using PyPI, which will allow you to call 
Ptera Software's functions in your own scripts. If you are new to this tool, I 
recommend first downloading a release, as this will give you access to the "examples" 
directory.

Next, make sure you have an IDE in which you can run Ptera Software. I recommend using 
the Community Edition of PyCharm, which is free, powerful, and well documented. If 
you've never set up a Python project before, follow 
[this guide](https://www.jetbrains.com/help/pycharm/quick-start-guide.html) to set up a 
new project in PyCharm. If you'll be downloading a release, follow that tutorial's 
"Open an existing project guide." Otherwise, follow the "Create a new project guide."

### Downloading A Release

To download a release, navigate to 
[the releases page](https://github.com/camUrban/PteraSoftware/releases) and download 
the latest zipped directory. Extract the contents, and set up a python project as 
described in the PyCharm tutorial.

Then, open a command prompt window in your project's directory and enter:

```pip install -r requirements.txt```

via the command prompt in your fork's directory. You may also want to run:

```pip install -r requirements_dev.txt```

if you plan on making significant changes to the software.

Finally, open the "examples" folder, which contains several heavily commented scripts 
that demonstrate different features and simulations. Read through each example, and 
then run them to admire their pretty output!

### Importing As A Package

If you wish to use this package as a dependency in your own project, simply run:

```pip install pterasoftware```

via the command prompt in your project's directory. Then, in a script that you'd like 
to use features from Ptera Software, add:

```import pterasoftware as ps```

If you haven't previously downloaded Ptera Software's source code, you can also learn 
about the available functions by reading their docstrings, which should be fetched 
automatically by many IDEs. Otherwise, you can return to the GitHub and read through 
the docstrings there.

I am hoping to implement a web-based documentation guide soon! If you'd like to 
contribute to this, feel free to open a feature request issue and start a conversation!

### What If I'm Having Trouble Getting Set Up?

Not to worry! I am working on a video that walks through getting Ptera Software up and 
running. It will include every step, from downloading Python for the first time to 
setting up your IDE to running the software. In the meantime, feel free to open an 
issue for guidance.

## Example Code

The following code snippet is all that is needed (after running pip install 
pterasoftware) to run the steady horseshoe solver on a custom airplane object.

```
import pterasoftware as ps

example_airplane = ps.geometry.Airplane(
    wings=[
        ps.geometry.Wing(
            symmetric=True,
            wing_cross_sections=[
                ps.geometry.WingCrossSection(
                    airfoil=ps.geometry.Airfoil(name="naca2412",),
                ),
                ps.geometry.WingCrossSection(
                    y_le=5.0, airfoil=ps.geometry.Airfoil(name="naca2412",),
                ),
            ],
        ),
    ],
)

example_operating_point = ps.operating_point.OperatingPoint()

example_problem = ps.problems.SteadyProblem(
   airplane=example_airplane,
   operating_point=example_operating_point
)

example_solver = ps.steady_horseshoe_vortex_lattice_method.SteadyHorseshoeVortexLatticeMethodSolver(
    steady_problem=example_problem
)

example_solver.run()

ps.output.draw(solver=example_solver, show_delta_pressures=True, show_streamlines=True)
```

## Example Output

This package currently supports three different solvers, a steady horseshoe vortex 
lattice method (VLM), a steady ring VLM, and an unsteady ring VLM (UVLM). Here are 
examples of the output you can expect to receive from each of them.

### Steady Horseshoe VLM

![Example Steady Horseshoe VLM Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/steady%20horseshoe%20vortex%20lattice%20method%20solver/Draw.webp)

### Steady Ring VLM

![Example Steady Ring VLM Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/steady%20ring%20vortex%20lattice%20method%20solver/Draw.webp)

### Unsteady Ring VLM

![Example Unsteady Ring VLM Animation Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Animate.webp)

![Example Unsteady Ring VLM Force Coefficient Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Example%20Airplane%20Force%20Coefficients.png)

![Example Unsteady Ring VLM Moment Coefficient Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Example%20Airplane%20Moment%20Coefficients.png)

## Requirements

Here are the requirements necessary to run Ptera Software:

* matplotlib >= 3.5.2, < 4.0.0
* numpy >= 1.22.4, < 1.24.0
* pyvista >= 0.34.1, < 1.0.0
* scipy >= 1.8.1, < 2.0.0
* numba >= 0.55.2, < 1.0.0
* cmocean >= 2.0.0, < 3.0.0
* tqdm >= 4.64.0, < 5.0.0
* webp >= 0.1.4, < 1.0.0

Additionally, these packages are useful for continued development of the software:

* codecov >= 2.1.12, < 3.0.0
* black >= 22.6.0, < 23.0.0
* pre-commit >= 2.19.0, < 3.0.0
* build >= 0.8.0, < 1.0.0
* twine >= 4.0.1, < 5.0.0
* setuptools >= 62.6.0, < 63.0.0
* wheel >= 0.37.1, < 0.38.0

## Validation

Since the release of version 1.0.0, Ptera Software is now validated against 
experimental flapping-wing data! See the "validation" directory to run the test case 
and read a report on the software's accuracy.

## How to Contribute

As I said before, the primary goal of this project is to increase the open-source 
community's understanding and appreciation for unsteady aerodynamics in general and 
flapping-wing flight in particular. This will only happen through your participation. 
Feel free to request features, report bugs or security issues, and provide suggestions. 
No comment is too big or small!

Here is a list of changes I would like to make in the coming releases. If you want to 
contribute and don't know where to start, this is for you!

### Testing

* We should make sure that all the integration tests compare output against expected 
results. This means getting rid of all the "test_method_does_not_throw" tests.
* We should maintain the repository's testing coverage to be at least 80%.

### Style and Documentation

* Maintain the repository's A CodeFactor Rating.
* We should fill in any of the "Properly document this..." TODO statements.
* We should ensure that all files be at least 30% comment lines.
* We should continue to ensure that all source code is formatted using Black.

### Features

* We should create a setup tutorial video and add it to the documentation. This should 
be geared toward a user who doesn't have Python, an IDE, or Ptera Software installed on 
their computer yet.
* We should implement a leading-edge model to account for flow separation. See 
"Modified Unsteady Vortex-Lattice Method to Study Flapping Wings in Hover Flight." by 
Bruno Roccia, Sergio Preidikman, Julio Massa, and Dean Mook for details.
* We should create a command-line interface or GUI.
* We should try to implement aeroelastic effects in Ptera Software's solvers.
* Flapping wing controls is both fascinating and complicated. We should try to create a 
workflow in Ptera Software for controls systems identification for flapping-wing 
vehicles.

## Credits

Here is a list of all the people and packages that helped me created Ptera Software in
no particular order. Specific citations can be found in the source code's docstrings
where applicable.

* Suhas Kodali
* Peter Sharpe
* Ramesh Agarwal
* Joseph Katz
* Allen Plotkin
* Austin Stover
* AeroSandbox
* Black
* Codecov
* Travis CI
* NumPy
* SciPy
* PyVista
* MatPlotLib
* Numba
* Pre-Commit
* SetupTools
* GitIgnore
* Shields.io
* PyPI
* Wheel
* Twine
* SemVer
* GitFlow
* Cmocean
* Tqdm
* WebP
* Build

## Notes

To the best of my ability, I am following SemVer conventions in naming my releases. I 
am also using the GitFlow method of branching for this project's development. This 
means that nightly builds will be available on the develop branch. The latest stable 
releases can be found on the master branch.


%package -n python3-PteraSoftware
Summary:	This is an open-source, unsteady aerodynamics solver for analyzing flapping-wing flight.
Provides:	python-PteraSoftware
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-PteraSoftware
![Logo](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/Logo.png)

***

![build](https://img.shields.io/travis/camUrban/PteraSoftware/master)
![coverage](https://img.shields.io/codecov/c/gh/camUrban/PteraSoftware/master)
![code quality](https://img.shields.io/codefactor/grade/github/camUrban/PteraSoftware/master)
![source rank](https://img.shields.io/librariesio/sourcerank/pypi/PteraSoftware?color=blue&label=source%20rank)
![license](https://img.shields.io/github/license/camUrban/PteraSoftware?color=blue)
![code style](https://img.shields.io/badge/code%20style-black-black)

***

![Example Unsteady Formation Flight](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20variable%20formation/Animate.webp)

This is Ptera Software: a fast, easy-to-use, and open-source package for analyzing 
flapping-wing flight.

## Motivation

In late 2018, I became curious about biological flight. To sate this curiosity, I 
wanted to computationally simulate some flapping-wing fliers. I quickly realized I had 
two options:

1. Spend thousands of dollars on a closed-source CFD program, which would take hours to 
solve a simple case.
2. Try to learn someone else's open-source, unsteady solver written in a language I 
didn't know, or using a framework that is overly complicated for my use case.

Neither of these seemed like the right choice.

Thankfully, my friend, Peter Sharpe, had just released his own open-source aerodynamics 
solver: AeroSandbox. With his support, I have used AeroSandbox as a jumping-off point 
to develop a solver package capable of unsteady simulations.

Through the combined efforts of Peter Sharpe, Suhas Kodali, and me, Ptera Software was 
born. It is an easy-to-use, open-source, and actively-maintained UVLM package capable 
of analyzing flapping-wing flight. Moreover, it's written in Python, is well 
documented, tested, and validated.

With your help, I hope we will increase the open-source community's interest and 
understanding of biological flight.

## Features

1. Various Aerodynamic Simulation Methods
   * Steady simulations can be run with a standard horseshoe vortex-lattice method 
   (VLM) or a ring VLM.
   * Unsteady simulations use a ring unsteady VLM (UVLM) solver.
   * Unsteady simulations support both fixed and free wakes.
   * Unsteady simulations implement vortex aging to reduce numerical instabilities.
2. Customizable Aircraft Geometry
   * Aircraft can be defined as a collection of one or more wings of any dimensions and 
   positions.
   * Wings can be defined as a collection of two or more wing cross sections of any 
   dimensions and positions.
   * Wing cross sections can be specified to match the mean camber line of an airfoil.
   * The package comes with a massive database of airfoil to chose from.
   * Wings are automatically discretized into panels with customizable sizes and 
   spacings.
3. Customizable Aircraft Motion
   * The relative motion of wings and wing cross sections can be defined using any 
   time-dependent functions of sweep, pitch, and heave angles.
4. Customizable Operating Points
   * Parameters such as the free-stream velocity, density, angle of attack, angle of 
   sideslip, etc. can be changed by the user.
5. High-Speed Simulations
   * Using Just-In-Time compilation, Ptera Software can solve many unsteady 
   flapping-wing simulations in less than a minute!
   * Steady simulations take only seconds!
6. Simulations of Formation Flight
   * Since v2.0.0, Ptera Software has supported simulations with more than one 
   airplane.
   * This feature can be used to analyze the aerodynamics of flapping-wing formation 
   flight!
7. Features for Flapping-Wing Vehicle Design
   * Ptera Software is focused on developing features to facilitate designing 
   flapping-wing vehicles.
   * For example, use the functions in the trim module to automatically search for a 
   trim operating point for steady and unsteady simulations of aircraft. 

## Installation and Use

First things first, you will need a copy of Python 3.8. Python 3.9 is not yet supported 
due to a dependency issue in VTK. Download Python 3.8 from the official Python website. 
At this time, I do not recommend using a version from the Anaconda distribution as it 
could introduce compatibility issues with PyPI.

There are two ways to use Ptera Software. The first is by downloading GitHub release, 
which will provide you your own copy of the source code, in which you can get a feel 
for how it works (this can also be accomplished by forking the main branch). The second 
is by importing the Ptera Software package using PyPI, which will allow you to call 
Ptera Software's functions in your own scripts. If you are new to this tool, I 
recommend first downloading a release, as this will give you access to the "examples" 
directory.

Next, make sure you have an IDE in which you can run Ptera Software. I recommend using 
the Community Edition of PyCharm, which is free, powerful, and well documented. If 
you've never set up a Python project before, follow 
[this guide](https://www.jetbrains.com/help/pycharm/quick-start-guide.html) to set up a 
new project in PyCharm. If you'll be downloading a release, follow that tutorial's 
"Open an existing project guide." Otherwise, follow the "Create a new project guide."

### Downloading A Release

To download a release, navigate to 
[the releases page](https://github.com/camUrban/PteraSoftware/releases) and download 
the latest zipped directory. Extract the contents, and set up a python project as 
described in the PyCharm tutorial.

Then, open a command prompt window in your project's directory and enter:

```pip install -r requirements.txt```

via the command prompt in your fork's directory. You may also want to run:

```pip install -r requirements_dev.txt```

if you plan on making significant changes to the software.

Finally, open the "examples" folder, which contains several heavily commented scripts 
that demonstrate different features and simulations. Read through each example, and 
then run them to admire their pretty output!

### Importing As A Package

If you wish to use this package as a dependency in your own project, simply run:

```pip install pterasoftware```

via the command prompt in your project's directory. Then, in a script that you'd like 
to use features from Ptera Software, add:

```import pterasoftware as ps```

If you haven't previously downloaded Ptera Software's source code, you can also learn 
about the available functions by reading their docstrings, which should be fetched 
automatically by many IDEs. Otherwise, you can return to the GitHub and read through 
the docstrings there.

I am hoping to implement a web-based documentation guide soon! If you'd like to 
contribute to this, feel free to open a feature request issue and start a conversation!

### What If I'm Having Trouble Getting Set Up?

Not to worry! I am working on a video that walks through getting Ptera Software up and 
running. It will include every step, from downloading Python for the first time to 
setting up your IDE to running the software. In the meantime, feel free to open an 
issue for guidance.

## Example Code

The following code snippet is all that is needed (after running pip install 
pterasoftware) to run the steady horseshoe solver on a custom airplane object.

```
import pterasoftware as ps

example_airplane = ps.geometry.Airplane(
    wings=[
        ps.geometry.Wing(
            symmetric=True,
            wing_cross_sections=[
                ps.geometry.WingCrossSection(
                    airfoil=ps.geometry.Airfoil(name="naca2412",),
                ),
                ps.geometry.WingCrossSection(
                    y_le=5.0, airfoil=ps.geometry.Airfoil(name="naca2412",),
                ),
            ],
        ),
    ],
)

example_operating_point = ps.operating_point.OperatingPoint()

example_problem = ps.problems.SteadyProblem(
   airplane=example_airplane,
   operating_point=example_operating_point
)

example_solver = ps.steady_horseshoe_vortex_lattice_method.SteadyHorseshoeVortexLatticeMethodSolver(
    steady_problem=example_problem
)

example_solver.run()

ps.output.draw(solver=example_solver, show_delta_pressures=True, show_streamlines=True)
```

## Example Output

This package currently supports three different solvers, a steady horseshoe vortex 
lattice method (VLM), a steady ring VLM, and an unsteady ring VLM (UVLM). Here are 
examples of the output you can expect to receive from each of them.

### Steady Horseshoe VLM

![Example Steady Horseshoe VLM Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/steady%20horseshoe%20vortex%20lattice%20method%20solver/Draw.webp)

### Steady Ring VLM

![Example Steady Ring VLM Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/steady%20ring%20vortex%20lattice%20method%20solver/Draw.webp)

### Unsteady Ring VLM

![Example Unsteady Ring VLM Animation Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Animate.webp)

![Example Unsteady Ring VLM Force Coefficient Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Example%20Airplane%20Force%20Coefficients.png)

![Example Unsteady Ring VLM Moment Coefficient Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Example%20Airplane%20Moment%20Coefficients.png)

## Requirements

Here are the requirements necessary to run Ptera Software:

* matplotlib >= 3.5.2, < 4.0.0
* numpy >= 1.22.4, < 1.24.0
* pyvista >= 0.34.1, < 1.0.0
* scipy >= 1.8.1, < 2.0.0
* numba >= 0.55.2, < 1.0.0
* cmocean >= 2.0.0, < 3.0.0
* tqdm >= 4.64.0, < 5.0.0
* webp >= 0.1.4, < 1.0.0

Additionally, these packages are useful for continued development of the software:

* codecov >= 2.1.12, < 3.0.0
* black >= 22.6.0, < 23.0.0
* pre-commit >= 2.19.0, < 3.0.0
* build >= 0.8.0, < 1.0.0
* twine >= 4.0.1, < 5.0.0
* setuptools >= 62.6.0, < 63.0.0
* wheel >= 0.37.1, < 0.38.0

## Validation

Since the release of version 1.0.0, Ptera Software is now validated against 
experimental flapping-wing data! See the "validation" directory to run the test case 
and read a report on the software's accuracy.

## How to Contribute

As I said before, the primary goal of this project is to increase the open-source 
community's understanding and appreciation for unsteady aerodynamics in general and 
flapping-wing flight in particular. This will only happen through your participation. 
Feel free to request features, report bugs or security issues, and provide suggestions. 
No comment is too big or small!

Here is a list of changes I would like to make in the coming releases. If you want to 
contribute and don't know where to start, this is for you!

### Testing

* We should make sure that all the integration tests compare output against expected 
results. This means getting rid of all the "test_method_does_not_throw" tests.
* We should maintain the repository's testing coverage to be at least 80%.

### Style and Documentation

* Maintain the repository's A CodeFactor Rating.
* We should fill in any of the "Properly document this..." TODO statements.
* We should ensure that all files be at least 30% comment lines.
* We should continue to ensure that all source code is formatted using Black.

### Features

* We should create a setup tutorial video and add it to the documentation. This should 
be geared toward a user who doesn't have Python, an IDE, or Ptera Software installed on 
their computer yet.
* We should implement a leading-edge model to account for flow separation. See 
"Modified Unsteady Vortex-Lattice Method to Study Flapping Wings in Hover Flight." by 
Bruno Roccia, Sergio Preidikman, Julio Massa, and Dean Mook for details.
* We should create a command-line interface or GUI.
* We should try to implement aeroelastic effects in Ptera Software's solvers.
* Flapping wing controls is both fascinating and complicated. We should try to create a 
workflow in Ptera Software for controls systems identification for flapping-wing 
vehicles.

## Credits

Here is a list of all the people and packages that helped me created Ptera Software in
no particular order. Specific citations can be found in the source code's docstrings
where applicable.

* Suhas Kodali
* Peter Sharpe
* Ramesh Agarwal
* Joseph Katz
* Allen Plotkin
* Austin Stover
* AeroSandbox
* Black
* Codecov
* Travis CI
* NumPy
* SciPy
* PyVista
* MatPlotLib
* Numba
* Pre-Commit
* SetupTools
* GitIgnore
* Shields.io
* PyPI
* Wheel
* Twine
* SemVer
* GitFlow
* Cmocean
* Tqdm
* WebP
* Build

## Notes

To the best of my ability, I am following SemVer conventions in naming my releases. I 
am also using the GitFlow method of branching for this project's development. This 
means that nightly builds will be available on the develop branch. The latest stable 
releases can be found on the master branch.


%package help
Summary:	Development documents and examples for PteraSoftware
Provides:	python3-PteraSoftware-doc
%description help
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![Example Unsteady Formation Flight](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20variable%20formation/Animate.webp)

This is Ptera Software: a fast, easy-to-use, and open-source package for analyzing 
flapping-wing flight.

## Motivation

In late 2018, I became curious about biological flight. To sate this curiosity, I 
wanted to computationally simulate some flapping-wing fliers. I quickly realized I had 
two options:

1. Spend thousands of dollars on a closed-source CFD program, which would take hours to 
solve a simple case.
2. Try to learn someone else's open-source, unsteady solver written in a language I 
didn't know, or using a framework that is overly complicated for my use case.

Neither of these seemed like the right choice.

Thankfully, my friend, Peter Sharpe, had just released his own open-source aerodynamics 
solver: AeroSandbox. With his support, I have used AeroSandbox as a jumping-off point 
to develop a solver package capable of unsteady simulations.

Through the combined efforts of Peter Sharpe, Suhas Kodali, and me, Ptera Software was 
born. It is an easy-to-use, open-source, and actively-maintained UVLM package capable 
of analyzing flapping-wing flight. Moreover, it's written in Python, is well 
documented, tested, and validated.

With your help, I hope we will increase the open-source community's interest and 
understanding of biological flight.

## Features

1. Various Aerodynamic Simulation Methods
   * Steady simulations can be run with a standard horseshoe vortex-lattice method 
   (VLM) or a ring VLM.
   * Unsteady simulations use a ring unsteady VLM (UVLM) solver.
   * Unsteady simulations support both fixed and free wakes.
   * Unsteady simulations implement vortex aging to reduce numerical instabilities.
2. Customizable Aircraft Geometry
   * Aircraft can be defined as a collection of one or more wings of any dimensions and 
   positions.
   * Wings can be defined as a collection of two or more wing cross sections of any 
   dimensions and positions.
   * Wing cross sections can be specified to match the mean camber line of an airfoil.
   * The package comes with a massive database of airfoil to chose from.
   * Wings are automatically discretized into panels with customizable sizes and 
   spacings.
3. Customizable Aircraft Motion
   * The relative motion of wings and wing cross sections can be defined using any 
   time-dependent functions of sweep, pitch, and heave angles.
4. Customizable Operating Points
   * Parameters such as the free-stream velocity, density, angle of attack, angle of 
   sideslip, etc. can be changed by the user.
5. High-Speed Simulations
   * Using Just-In-Time compilation, Ptera Software can solve many unsteady 
   flapping-wing simulations in less than a minute!
   * Steady simulations take only seconds!
6. Simulations of Formation Flight
   * Since v2.0.0, Ptera Software has supported simulations with more than one 
   airplane.
   * This feature can be used to analyze the aerodynamics of flapping-wing formation 
   flight!
7. Features for Flapping-Wing Vehicle Design
   * Ptera Software is focused on developing features to facilitate designing 
   flapping-wing vehicles.
   * For example, use the functions in the trim module to automatically search for a 
   trim operating point for steady and unsteady simulations of aircraft. 

## Installation and Use

First things first, you will need a copy of Python 3.8. Python 3.9 is not yet supported 
due to a dependency issue in VTK. Download Python 3.8 from the official Python website. 
At this time, I do not recommend using a version from the Anaconda distribution as it 
could introduce compatibility issues with PyPI.

There are two ways to use Ptera Software. The first is by downloading GitHub release, 
which will provide you your own copy of the source code, in which you can get a feel 
for how it works (this can also be accomplished by forking the main branch). The second 
is by importing the Ptera Software package using PyPI, which will allow you to call 
Ptera Software's functions in your own scripts. If you are new to this tool, I 
recommend first downloading a release, as this will give you access to the "examples" 
directory.

Next, make sure you have an IDE in which you can run Ptera Software. I recommend using 
the Community Edition of PyCharm, which is free, powerful, and well documented. If 
you've never set up a Python project before, follow 
[this guide](https://www.jetbrains.com/help/pycharm/quick-start-guide.html) to set up a 
new project in PyCharm. If you'll be downloading a release, follow that tutorial's 
"Open an existing project guide." Otherwise, follow the "Create a new project guide."

### Downloading A Release

To download a release, navigate to 
[the releases page](https://github.com/camUrban/PteraSoftware/releases) and download 
the latest zipped directory. Extract the contents, and set up a python project as 
described in the PyCharm tutorial.

Then, open a command prompt window in your project's directory and enter:

```pip install -r requirements.txt```

via the command prompt in your fork's directory. You may also want to run:

```pip install -r requirements_dev.txt```

if you plan on making significant changes to the software.

Finally, open the "examples" folder, which contains several heavily commented scripts 
that demonstrate different features and simulations. Read through each example, and 
then run them to admire their pretty output!

### Importing As A Package

If you wish to use this package as a dependency in your own project, simply run:

```pip install pterasoftware```

via the command prompt in your project's directory. Then, in a script that you'd like 
to use features from Ptera Software, add:

```import pterasoftware as ps```

If you haven't previously downloaded Ptera Software's source code, you can also learn 
about the available functions by reading their docstrings, which should be fetched 
automatically by many IDEs. Otherwise, you can return to the GitHub and read through 
the docstrings there.

I am hoping to implement a web-based documentation guide soon! If you'd like to 
contribute to this, feel free to open a feature request issue and start a conversation!

### What If I'm Having Trouble Getting Set Up?

Not to worry! I am working on a video that walks through getting Ptera Software up and 
running. It will include every step, from downloading Python for the first time to 
setting up your IDE to running the software. In the meantime, feel free to open an 
issue for guidance.

## Example Code

The following code snippet is all that is needed (after running pip install 
pterasoftware) to run the steady horseshoe solver on a custom airplane object.

```
import pterasoftware as ps

example_airplane = ps.geometry.Airplane(
    wings=[
        ps.geometry.Wing(
            symmetric=True,
            wing_cross_sections=[
                ps.geometry.WingCrossSection(
                    airfoil=ps.geometry.Airfoil(name="naca2412",),
                ),
                ps.geometry.WingCrossSection(
                    y_le=5.0, airfoil=ps.geometry.Airfoil(name="naca2412",),
                ),
            ],
        ),
    ],
)

example_operating_point = ps.operating_point.OperatingPoint()

example_problem = ps.problems.SteadyProblem(
   airplane=example_airplane,
   operating_point=example_operating_point
)

example_solver = ps.steady_horseshoe_vortex_lattice_method.SteadyHorseshoeVortexLatticeMethodSolver(
    steady_problem=example_problem
)

example_solver.run()

ps.output.draw(solver=example_solver, show_delta_pressures=True, show_streamlines=True)
```

## Example Output

This package currently supports three different solvers, a steady horseshoe vortex 
lattice method (VLM), a steady ring VLM, and an unsteady ring VLM (UVLM). Here are 
examples of the output you can expect to receive from each of them.

### Steady Horseshoe VLM

![Example Steady Horseshoe VLM Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/steady%20horseshoe%20vortex%20lattice%20method%20solver/Draw.webp)

### Steady Ring VLM

![Example Steady Ring VLM Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/steady%20ring%20vortex%20lattice%20method%20solver/Draw.webp)

### Unsteady Ring VLM

![Example Unsteady Ring VLM Animation Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Animate.webp)

![Example Unsteady Ring VLM Force Coefficient Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Example%20Airplane%20Force%20Coefficients.png)

![Example Unsteady Ring VLM Moment Coefficient Output](https://raw.githubusercontent.com/camUrban/PteraSoftware/master/docs/examples%20expected%20output/unsteady%20ring%20vortex%20lattice%20method%20solver%20static/Example%20Airplane%20Moment%20Coefficients.png)

## Requirements

Here are the requirements necessary to run Ptera Software:

* matplotlib >= 3.5.2, < 4.0.0
* numpy >= 1.22.4, < 1.24.0
* pyvista >= 0.34.1, < 1.0.0
* scipy >= 1.8.1, < 2.0.0
* numba >= 0.55.2, < 1.0.0
* cmocean >= 2.0.0, < 3.0.0
* tqdm >= 4.64.0, < 5.0.0
* webp >= 0.1.4, < 1.0.0

Additionally, these packages are useful for continued development of the software:

* codecov >= 2.1.12, < 3.0.0
* black >= 22.6.0, < 23.0.0
* pre-commit >= 2.19.0, < 3.0.0
* build >= 0.8.0, < 1.0.0
* twine >= 4.0.1, < 5.0.0
* setuptools >= 62.6.0, < 63.0.0
* wheel >= 0.37.1, < 0.38.0

## Validation

Since the release of version 1.0.0, Ptera Software is now validated against 
experimental flapping-wing data! See the "validation" directory to run the test case 
and read a report on the software's accuracy.

## How to Contribute

As I said before, the primary goal of this project is to increase the open-source 
community's understanding and appreciation for unsteady aerodynamics in general and 
flapping-wing flight in particular. This will only happen through your participation. 
Feel free to request features, report bugs or security issues, and provide suggestions. 
No comment is too big or small!

Here is a list of changes I would like to make in the coming releases. If you want to 
contribute and don't know where to start, this is for you!

### Testing

* We should make sure that all the integration tests compare output against expected 
results. This means getting rid of all the "test_method_does_not_throw" tests.
* We should maintain the repository's testing coverage to be at least 80%.

### Style and Documentation

* Maintain the repository's A CodeFactor Rating.
* We should fill in any of the "Properly document this..." TODO statements.
* We should ensure that all files be at least 30% comment lines.
* We should continue to ensure that all source code is formatted using Black.

### Features

* We should create a setup tutorial video and add it to the documentation. This should 
be geared toward a user who doesn't have Python, an IDE, or Ptera Software installed on 
their computer yet.
* We should implement a leading-edge model to account for flow separation. See 
"Modified Unsteady Vortex-Lattice Method to Study Flapping Wings in Hover Flight." by 
Bruno Roccia, Sergio Preidikman, Julio Massa, and Dean Mook for details.
* We should create a command-line interface or GUI.
* We should try to implement aeroelastic effects in Ptera Software's solvers.
* Flapping wing controls is both fascinating and complicated. We should try to create a 
workflow in Ptera Software for controls systems identification for flapping-wing 
vehicles.

## Credits

Here is a list of all the people and packages that helped me created Ptera Software in
no particular order. Specific citations can be found in the source code's docstrings
where applicable.

* Suhas Kodali
* Peter Sharpe
* Ramesh Agarwal
* Joseph Katz
* Allen Plotkin
* Austin Stover
* AeroSandbox
* Black
* Codecov
* Travis CI
* NumPy
* SciPy
* PyVista
* MatPlotLib
* Numba
* Pre-Commit
* SetupTools
* GitIgnore
* Shields.io
* PyPI
* Wheel
* Twine
* SemVer
* GitFlow
* Cmocean
* Tqdm
* WebP
* Build

## Notes

To the best of my ability, I am following SemVer conventions in naming my releases. I 
am also using the GitFlow method of branching for this project's development. This 
means that nightly builds will be available on the develop branch. The latest stable 
releases can be found on the master branch.


%prep
%autosetup -n PteraSoftware-2.2.1

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-PteraSoftware -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 2.2.1-1
- Package Spec generated