%global _empty_manifest_terminate_build 0
Name: python-MAPLEAF
Version: 0.8.16
Release: 1
Summary: A compact, extensible rocket flight simulation framework for researchers and rocket designers
License: MIT
URL: https://github.com/henrystoldt/MAPLEAF
Source0: https://mirrors.aliyun.com/pypi/web/packages/fb/de/7c6747eccbe36cbb348cced114d6e8ab730be16a0cad213980b89ec5819c/MAPLEAF-0.8.16.tar.gz
BuildArch: noarch
%description
Modular Aerospace Prediction Lab for Engines and Aero Forces
## Install:
Prerequisites:
- [Python 3.6+](https://www.python.org/downloads/) (**[64-bit](https://stackoverflow.com/questions/1842544/how-do-i-detect-if-python-is-running-as-a-64-bit-application)**)
- Linux/WSL: install python3.X-dev package (includes python header files for Cython)
- C/C++ compilers OR an existing installation of [Cython](https://cython.readthedocs.io/en/latest/src/quickstart/install.html)
- Windows: install visual studio build tools or MinGW
- (Recommended) A Python [virtual environment](https://towardsdatascience.com/virtual-environments-104c62d48c54). See [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md#create-python-virtual-environment-with-virtualenvwrapper)
`$ pip install MAPLEAF`
The (optional) dependencies used to enable 3D flight path renders (mayavi) and parallelization (ray) are not installed by default because they're often tricky to get running. Run the installOptionalPackages.py script to try installing them if you want to use those capabilities. See ray and mayavi github pages/documentation for help getting them installed.
### Test your installation
Unit tests:
`$ python -m unittest -v`
Regression tests:
`$ mapleaf-batch`
See [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md) for more information, or the [verification and validation section](https://henrystoldt.github.io/MAPLEAF/V&V/index.html) of the code documentation for the expected results of the regression tests.
## Developers
Contributions are welcome.
To learn about the code, have a look at [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md), and the [code documentation website](https://henrystoldt.github.io/MAPLEAF/)
## Running a Simulation
`$ mapleaf path/to/SimDefinitionFile.mapleaf`
Sample simulation definitions: [MAPLEAF/Examples/Simulations](https://github.com/henrystoldt/MAPLEAF/tree/master/MAPLEAF/Examples/Simulations)
Example cases be run with just the case name: `$ mapleaf NASATwoStageOrbitalRocket`
This is the same as running: `$ mapleaf MAPLEAF/Examples/Simulations/NASATwoStageOrbitalRocket.mapleaf` from MAPLEAF's install location
Help: `$ mapleaf -h`
### Simulation Definition Files
Brief overview below. **More info, and definitions of all possible options in:** [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf)
Format is a simple key-value syntax similar to JSON or YAML.
Dictionaries can be nested arbitrarily deeply and are brace-delimited.
Keys and values in a dictionary are separated by the first whitespace in their line
No multiline values
Example:
```
SimControl{
timeDiscretization RK45Adaptive
TimeStepAdaptation{
controller PID
PID.coefficients -0.01 -0.001 0
targetError 0.0001
}
}
```
[Code folding](https://code.visualstudio.com/docs/editor/codebasics#_folding) and [syntax highlighting](https://marketplace.visualstudio.com/items?itemName=MAPLEAF.MAPLEAF) are helpful in maintaining a file overview:
The possible top level dictionaries are 'Optimization', 'MonteCarlo', 'SimControl', 'Environment', and 'Rocket'.
Of these, only the 'Rocket' dictionary is strictly required to run a simulation, and defines the rocket's initial position/velocity and the inertial/aerodynamic/control models used to simulate it.
The rocket is defined by nested subdictionaries, where the first level of nesting defines the rocket's stage(s) and the second level defines the component(s) in each stage:
Default values from the defaultConfigValues dictionary in [MAPLEAF/IO/SimDefinition.py](https://github.com/henrystoldt/MAPLEAF/blob/master/MAPLEAF/IO/SimDefinition.py) will fill in for omitted keys.
Most defaults match the values in [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf).
## Simulation Outputs
Depending on the options specified in the `SimControl` dictionary, MAPLEAF will output:
- Detailed tabulated simulation position, component force, aerodynamic coefficient and control logs (see SimControl.loggingLevel):
- Flight animations (see SimControl.plot)
- Flight path visualizations (see SimControl.plot - [Mayavi](https://github.com/enthought/mayavi) is required to render these ones showing the Earth)
- Plots of any logged parameter (see SimControl.plot or --plotFromLog command line option)
## Monte Carlo Simulations
Monte Carlo simulations propagate uncertainties in simulation inputs through to simulation outputs.
Any scalar or vector parameter in simulation definition files can be made probabilistic by adding a second parameter with `_stdDev` appended to the name:
To execute a batch run of this now-probabilistic simulation, create the top-level 'Monte Carlo' dictionary (see [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf))
Then, MAPLEAF can produce distributions of outputs like landing locations:
## Design Optimization
MAPLEAF uses [pyswarms](https://github.com/ljvmiranda921/pyswarms) to optimize arbitrary scalar parameters according to arbitrary cost functions using Particle Swarm Optimization.
To define an optimization problem, include the top-level 'Optimization' dictionary (see [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf)):
Pyswarms will produce a plot of the optimization results after completion:
## Batch Simulations
Automates running and post-processing groups of cases.
To run: `$ mapleaf-batch path/to/batchDefinitionFile`
For help: `$ mapleaf-batch -h`
Provides ability to automate production of detailed plots of MAPLEAF's results compared to verification/validation data, and to run Wind-Tunnel style aero-sweep simulations:
Used for regression and verification/validation testing in MAPLEAF.
See [batchRunTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/batchRunTemplate.mapleaf) for complete batch interface definition and [regressionTests.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/MAPLEAF/Examples/BatchSims/regressionTests.mapleaf) for examples.
To run the regression/verification/validation test suite, check out [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md)
## Parallelization
To run **Monte Carlo** or **Optimization** simulations in parallel:
`mapleaf --parallel MonteCarlo.mapleaf`
MAPLEAF's parallelization is implemented using [ray](https://github.com/ray-project/ray).
%package -n python3-MAPLEAF
Summary: A compact, extensible rocket flight simulation framework for researchers and rocket designers
Provides: python-MAPLEAF
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-MAPLEAF
Modular Aerospace Prediction Lab for Engines and Aero Forces
## Install:
Prerequisites:
- [Python 3.6+](https://www.python.org/downloads/) (**[64-bit](https://stackoverflow.com/questions/1842544/how-do-i-detect-if-python-is-running-as-a-64-bit-application)**)
- Linux/WSL: install python3.X-dev package (includes python header files for Cython)
- C/C++ compilers OR an existing installation of [Cython](https://cython.readthedocs.io/en/latest/src/quickstart/install.html)
- Windows: install visual studio build tools or MinGW
- (Recommended) A Python [virtual environment](https://towardsdatascience.com/virtual-environments-104c62d48c54). See [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md#create-python-virtual-environment-with-virtualenvwrapper)
`$ pip install MAPLEAF`
The (optional) dependencies used to enable 3D flight path renders (mayavi) and parallelization (ray) are not installed by default because they're often tricky to get running. Run the installOptionalPackages.py script to try installing them if you want to use those capabilities. See ray and mayavi github pages/documentation for help getting them installed.
### Test your installation
Unit tests:
`$ python -m unittest -v`
Regression tests:
`$ mapleaf-batch`
See [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md) for more information, or the [verification and validation section](https://henrystoldt.github.io/MAPLEAF/V&V/index.html) of the code documentation for the expected results of the regression tests.
## Developers
Contributions are welcome.
To learn about the code, have a look at [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md), and the [code documentation website](https://henrystoldt.github.io/MAPLEAF/)
## Running a Simulation
`$ mapleaf path/to/SimDefinitionFile.mapleaf`
Sample simulation definitions: [MAPLEAF/Examples/Simulations](https://github.com/henrystoldt/MAPLEAF/tree/master/MAPLEAF/Examples/Simulations)
Example cases be run with just the case name: `$ mapleaf NASATwoStageOrbitalRocket`
This is the same as running: `$ mapleaf MAPLEAF/Examples/Simulations/NASATwoStageOrbitalRocket.mapleaf` from MAPLEAF's install location
Help: `$ mapleaf -h`
### Simulation Definition Files
Brief overview below. **More info, and definitions of all possible options in:** [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf)
Format is a simple key-value syntax similar to JSON or YAML.
Dictionaries can be nested arbitrarily deeply and are brace-delimited.
Keys and values in a dictionary are separated by the first whitespace in their line
No multiline values
Example:
```
SimControl{
timeDiscretization RK45Adaptive
TimeStepAdaptation{
controller PID
PID.coefficients -0.01 -0.001 0
targetError 0.0001
}
}
```
[Code folding](https://code.visualstudio.com/docs/editor/codebasics#_folding) and [syntax highlighting](https://marketplace.visualstudio.com/items?itemName=MAPLEAF.MAPLEAF) are helpful in maintaining a file overview:
The possible top level dictionaries are 'Optimization', 'MonteCarlo', 'SimControl', 'Environment', and 'Rocket'.
Of these, only the 'Rocket' dictionary is strictly required to run a simulation, and defines the rocket's initial position/velocity and the inertial/aerodynamic/control models used to simulate it.
The rocket is defined by nested subdictionaries, where the first level of nesting defines the rocket's stage(s) and the second level defines the component(s) in each stage:
Default values from the defaultConfigValues dictionary in [MAPLEAF/IO/SimDefinition.py](https://github.com/henrystoldt/MAPLEAF/blob/master/MAPLEAF/IO/SimDefinition.py) will fill in for omitted keys.
Most defaults match the values in [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf).
## Simulation Outputs
Depending on the options specified in the `SimControl` dictionary, MAPLEAF will output:
- Detailed tabulated simulation position, component force, aerodynamic coefficient and control logs (see SimControl.loggingLevel):
- Flight animations (see SimControl.plot)
- Flight path visualizations (see SimControl.plot - [Mayavi](https://github.com/enthought/mayavi) is required to render these ones showing the Earth)
- Plots of any logged parameter (see SimControl.plot or --plotFromLog command line option)
## Monte Carlo Simulations
Monte Carlo simulations propagate uncertainties in simulation inputs through to simulation outputs.
Any scalar or vector parameter in simulation definition files can be made probabilistic by adding a second parameter with `_stdDev` appended to the name:
To execute a batch run of this now-probabilistic simulation, create the top-level 'Monte Carlo' dictionary (see [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf))
Then, MAPLEAF can produce distributions of outputs like landing locations:
## Design Optimization
MAPLEAF uses [pyswarms](https://github.com/ljvmiranda921/pyswarms) to optimize arbitrary scalar parameters according to arbitrary cost functions using Particle Swarm Optimization.
To define an optimization problem, include the top-level 'Optimization' dictionary (see [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf)):
Pyswarms will produce a plot of the optimization results after completion:
## Batch Simulations
Automates running and post-processing groups of cases.
To run: `$ mapleaf-batch path/to/batchDefinitionFile`
For help: `$ mapleaf-batch -h`
Provides ability to automate production of detailed plots of MAPLEAF's results compared to verification/validation data, and to run Wind-Tunnel style aero-sweep simulations:
Used for regression and verification/validation testing in MAPLEAF.
See [batchRunTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/batchRunTemplate.mapleaf) for complete batch interface definition and [regressionTests.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/MAPLEAF/Examples/BatchSims/regressionTests.mapleaf) for examples.
To run the regression/verification/validation test suite, check out [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md)
## Parallelization
To run **Monte Carlo** or **Optimization** simulations in parallel:
`mapleaf --parallel MonteCarlo.mapleaf`
MAPLEAF's parallelization is implemented using [ray](https://github.com/ray-project/ray).
%package help
Summary: Development documents and examples for MAPLEAF
Provides: python3-MAPLEAF-doc
%description help
Modular Aerospace Prediction Lab for Engines and Aero Forces
## Install:
Prerequisites:
- [Python 3.6+](https://www.python.org/downloads/) (**[64-bit](https://stackoverflow.com/questions/1842544/how-do-i-detect-if-python-is-running-as-a-64-bit-application)**)
- Linux/WSL: install python3.X-dev package (includes python header files for Cython)
- C/C++ compilers OR an existing installation of [Cython](https://cython.readthedocs.io/en/latest/src/quickstart/install.html)
- Windows: install visual studio build tools or MinGW
- (Recommended) A Python [virtual environment](https://towardsdatascience.com/virtual-environments-104c62d48c54). See [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md#create-python-virtual-environment-with-virtualenvwrapper)
`$ pip install MAPLEAF`
The (optional) dependencies used to enable 3D flight path renders (mayavi) and parallelization (ray) are not installed by default because they're often tricky to get running. Run the installOptionalPackages.py script to try installing them if you want to use those capabilities. See ray and mayavi github pages/documentation for help getting them installed.
### Test your installation
Unit tests:
`$ python -m unittest -v`
Regression tests:
`$ mapleaf-batch`
See [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md) for more information, or the [verification and validation section](https://henrystoldt.github.io/MAPLEAF/V&V/index.html) of the code documentation for the expected results of the regression tests.
## Developers
Contributions are welcome.
To learn about the code, have a look at [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md), and the [code documentation website](https://henrystoldt.github.io/MAPLEAF/)
## Running a Simulation
`$ mapleaf path/to/SimDefinitionFile.mapleaf`
Sample simulation definitions: [MAPLEAF/Examples/Simulations](https://github.com/henrystoldt/MAPLEAF/tree/master/MAPLEAF/Examples/Simulations)
Example cases be run with just the case name: `$ mapleaf NASATwoStageOrbitalRocket`
This is the same as running: `$ mapleaf MAPLEAF/Examples/Simulations/NASATwoStageOrbitalRocket.mapleaf` from MAPLEAF's install location
Help: `$ mapleaf -h`
### Simulation Definition Files
Brief overview below. **More info, and definitions of all possible options in:** [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf)
Format is a simple key-value syntax similar to JSON or YAML.
Dictionaries can be nested arbitrarily deeply and are brace-delimited.
Keys and values in a dictionary are separated by the first whitespace in their line
No multiline values
Example:
```
SimControl{
timeDiscretization RK45Adaptive
TimeStepAdaptation{
controller PID
PID.coefficients -0.01 -0.001 0
targetError 0.0001
}
}
```
[Code folding](https://code.visualstudio.com/docs/editor/codebasics#_folding) and [syntax highlighting](https://marketplace.visualstudio.com/items?itemName=MAPLEAF.MAPLEAF) are helpful in maintaining a file overview:
The possible top level dictionaries are 'Optimization', 'MonteCarlo', 'SimControl', 'Environment', and 'Rocket'.
Of these, only the 'Rocket' dictionary is strictly required to run a simulation, and defines the rocket's initial position/velocity and the inertial/aerodynamic/control models used to simulate it.
The rocket is defined by nested subdictionaries, where the first level of nesting defines the rocket's stage(s) and the second level defines the component(s) in each stage:
Default values from the defaultConfigValues dictionary in [MAPLEAF/IO/SimDefinition.py](https://github.com/henrystoldt/MAPLEAF/blob/master/MAPLEAF/IO/SimDefinition.py) will fill in for omitted keys.
Most defaults match the values in [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf).
## Simulation Outputs
Depending on the options specified in the `SimControl` dictionary, MAPLEAF will output:
- Detailed tabulated simulation position, component force, aerodynamic coefficient and control logs (see SimControl.loggingLevel):
- Flight animations (see SimControl.plot)
- Flight path visualizations (see SimControl.plot - [Mayavi](https://github.com/enthought/mayavi) is required to render these ones showing the Earth)
- Plots of any logged parameter (see SimControl.plot or --plotFromLog command line option)
## Monte Carlo Simulations
Monte Carlo simulations propagate uncertainties in simulation inputs through to simulation outputs.
Any scalar or vector parameter in simulation definition files can be made probabilistic by adding a second parameter with `_stdDev` appended to the name:
To execute a batch run of this now-probabilistic simulation, create the top-level 'Monte Carlo' dictionary (see [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf))
Then, MAPLEAF can produce distributions of outputs like landing locations:
## Design Optimization
MAPLEAF uses [pyswarms](https://github.com/ljvmiranda921/pyswarms) to optimize arbitrary scalar parameters according to arbitrary cost functions using Particle Swarm Optimization.
To define an optimization problem, include the top-level 'Optimization' dictionary (see [SimDefinitionTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/SimDefinitionTemplate.mapleaf)):
Pyswarms will produce a plot of the optimization results after completion:
## Batch Simulations
Automates running and post-processing groups of cases.
To run: `$ mapleaf-batch path/to/batchDefinitionFile`
For help: `$ mapleaf-batch -h`
Provides ability to automate production of detailed plots of MAPLEAF's results compared to verification/validation data, and to run Wind-Tunnel style aero-sweep simulations:
Used for regression and verification/validation testing in MAPLEAF.
See [batchRunTemplate.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/batchRunTemplate.mapleaf) for complete batch interface definition and [regressionTests.mapleaf](https://github.com/henrystoldt/MAPLEAF/blob/master/MAPLEAF/Examples/BatchSims/regressionTests.mapleaf) for examples.
To run the regression/verification/validation test suite, check out [README_Dev.md](https://github.com/henrystoldt/MAPLEAF/blob/master/README_Dev.md)
## Parallelization
To run **Monte Carlo** or **Optimization** simulations in parallel:
`mapleaf --parallel MonteCarlo.mapleaf`
MAPLEAF's parallelization is implemented using [ray](https://github.com/ray-project/ray).
%prep
%autosetup -n MAPLEAF-0.8.16
%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-MAPLEAF -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot - 0.8.16-1
- Package Spec generated