%global _empty_manifest_terminate_build 0 Name: python-PPDyn Version: 1.0.8 Release: 1 Summary: A python package to simulate plasma particles using Molecular Dynamics Algorithm. License: MIT URL: https://github.com/sayanadhikari/PPDyn Source0: https://mirrors.nju.edu.cn/pypi/web/packages/47/32/888222ac9d0fb72b0dfb47a9cec03b33ba39c6b062a456edf1af85be62c2/PPDyn-1.0.8.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-scipy Requires: python3-ini-parser Requires: python3-numba Requires: python3-h5py Requires: python3-matplotlib %description # PPDyn (Plasma Particle Dynamics) [![CI](https://github.com/sayanadhikari/PPDyn/actions/workflows/main.yml/badge.svg)](https://github.com/sayanadhikari/PPDyn/actions/workflows/main.yml) [![build](https://github.com/sayanadhikari/PPDyn/actions/workflows/make.yml/badge.svg)](https://github.com/sayanadhikari/PPDyn/actions/workflows/make.yml) [![DOI](https://zenodo.org/badge/349242730.svg)](https://zenodo.org/badge/latestdoi/349242730) [![Documentation Status](https://readthedocs.org/projects/ppdyn/badge/?version=latest)](https://ppdyn.readthedocs.io/en/latest/?badge=latest) [![PyPI Version](https://img.shields.io/pypi/v/ppdyn.svg)](https://pypi.org/project/PPDyn/) A python code to simulate plasma particles using Molecular Dynamics Algorithm. [Numba JIT compiler](https://numba.pydata.org/) for Python has been implemented for faster performance. A detailed documentation can be found at https://ppdyn.readthedocs.io/. Example: [![PPDyn Example](http://img.youtube.com/vi/qvQRUX-rSrQ/0.jpg)](https://www.youtube.com/embed/qvQRUX-rSrQ) ## Problem ## Contributors - [Sayan Adhikari](https://github.com/sayanadhikari), UiO, Norway. [@sayanadhikari](https://twitter.com/sayanadhikari) - [Rupak Mukherjee](https://github.com/RupakMukherjee), PPPL, USA. ## Installation ### Prerequisites 1. [GNU Make](https://www.gnu.org/software/make/) 2. [python3 or higher](https://www.python.org/download/releases/3.0/) 3. [git](https://git-scm.com/) ### Procedure #### Using PyPI ```bash pip install PPDyn ``` *Usage* Download the input template to your working directory ```shell wget https://raw.githubusercontent.com/sayanadhikari/PPDyn/main/input.ini ``` Now, either create a python script in your working directory or use your python console ```python from PPDyn import ppdyn from PPDyn.ppdplot import animate import time start = time.time() ppdyn(input) end = time.time() print("Elapsed (after compilation) = %s"%(end - start)+" seconds") animate() ``` #### Using GNU Make First make a clone of the master branch using the following command ```shell git clone https://github.com/sayanadhikari/PPDyn.git ``` Then enter inside the *PPDyn* directory ```shell cd PPDyn ``` Now complile and built the *PPDyn* code ```shell make all ``` *Usage* Upon successful compilation, run the code using following command ```shell ppdyn -i input.ini ``` ## Parameter Setup Edit the _input.ini_ and run the code again. The basic structure of _input.ini_ is provided below, ```ini ; ; @file input.ini ; @brief PPDyn inputfile. ; scope = default [simbox] Lx = 10.0 ; System length in X Ly = 10.0 ; System length in Y Lz = 10.0 ; System length in Z [particles] N = 700 ; Number of particles Vxmax = 1.0 ; Maximum velocity in X Vymax = 1.0 ; Maximum velocity in Y Vzmax = 1.0 ; Maximum velocity in Z Temp = 0.01 ; [screening] k = 1.0 [boundary] btype = reflecting ; Type of boundary Options: periodic, reflecting [time] tmax = 1000.0 ; Final time dt = 0.010 ; time step size [diagnostics] dumpPeriod = 50 ; Data dump period dumpData = True vtkData = False [options] parallelMode = True ;set to false to disable parallel ``` ## Visualization For visualization, user either can use the python scripts available inside ``scripts`` directory or can write their own. After successful run the data will be available under ``data`` directory. Two different data formats are available at present. The complete dataset will available under the name particle.hdf5. For vtk visualization users can use ``.vtu`` files inside ``data/vtkdata``. [Paraview](https://www.paraview.org/) can be used to animate particle dynamics very easily. A sample video can be found [here](https://www.youtube.com/embed/qvQRUX-rSrQ). ## Contributing We welcome contributions to this project. 1. Fork it. 2. Create your feature branch (```git checkout -b my-new-feature```). 3. Commit your changes (```git commit -am 'Add some feature'```). 4. Push to the branch (```git push origin my-new-feature```). 5. Create new Pull Request. ## License Released under the [MIT license](LICENSE). %package -n python3-PPDyn Summary: A python package to simulate plasma particles using Molecular Dynamics Algorithm. Provides: python-PPDyn BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-PPDyn # PPDyn (Plasma Particle Dynamics) [![CI](https://github.com/sayanadhikari/PPDyn/actions/workflows/main.yml/badge.svg)](https://github.com/sayanadhikari/PPDyn/actions/workflows/main.yml) [![build](https://github.com/sayanadhikari/PPDyn/actions/workflows/make.yml/badge.svg)](https://github.com/sayanadhikari/PPDyn/actions/workflows/make.yml) [![DOI](https://zenodo.org/badge/349242730.svg)](https://zenodo.org/badge/latestdoi/349242730) [![Documentation Status](https://readthedocs.org/projects/ppdyn/badge/?version=latest)](https://ppdyn.readthedocs.io/en/latest/?badge=latest) [![PyPI Version](https://img.shields.io/pypi/v/ppdyn.svg)](https://pypi.org/project/PPDyn/) A python code to simulate plasma particles using Molecular Dynamics Algorithm. [Numba JIT compiler](https://numba.pydata.org/) for Python has been implemented for faster performance. A detailed documentation can be found at https://ppdyn.readthedocs.io/. Example: [![PPDyn Example](http://img.youtube.com/vi/qvQRUX-rSrQ/0.jpg)](https://www.youtube.com/embed/qvQRUX-rSrQ) ## Problem ## Contributors - [Sayan Adhikari](https://github.com/sayanadhikari), UiO, Norway. [@sayanadhikari](https://twitter.com/sayanadhikari) - [Rupak Mukherjee](https://github.com/RupakMukherjee), PPPL, USA. ## Installation ### Prerequisites 1. [GNU Make](https://www.gnu.org/software/make/) 2. [python3 or higher](https://www.python.org/download/releases/3.0/) 3. [git](https://git-scm.com/) ### Procedure #### Using PyPI ```bash pip install PPDyn ``` *Usage* Download the input template to your working directory ```shell wget https://raw.githubusercontent.com/sayanadhikari/PPDyn/main/input.ini ``` Now, either create a python script in your working directory or use your python console ```python from PPDyn import ppdyn from PPDyn.ppdplot import animate import time start = time.time() ppdyn(input) end = time.time() print("Elapsed (after compilation) = %s"%(end - start)+" seconds") animate() ``` #### Using GNU Make First make a clone of the master branch using the following command ```shell git clone https://github.com/sayanadhikari/PPDyn.git ``` Then enter inside the *PPDyn* directory ```shell cd PPDyn ``` Now complile and built the *PPDyn* code ```shell make all ``` *Usage* Upon successful compilation, run the code using following command ```shell ppdyn -i input.ini ``` ## Parameter Setup Edit the _input.ini_ and run the code again. The basic structure of _input.ini_ is provided below, ```ini ; ; @file input.ini ; @brief PPDyn inputfile. ; scope = default [simbox] Lx = 10.0 ; System length in X Ly = 10.0 ; System length in Y Lz = 10.0 ; System length in Z [particles] N = 700 ; Number of particles Vxmax = 1.0 ; Maximum velocity in X Vymax = 1.0 ; Maximum velocity in Y Vzmax = 1.0 ; Maximum velocity in Z Temp = 0.01 ; [screening] k = 1.0 [boundary] btype = reflecting ; Type of boundary Options: periodic, reflecting [time] tmax = 1000.0 ; Final time dt = 0.010 ; time step size [diagnostics] dumpPeriod = 50 ; Data dump period dumpData = True vtkData = False [options] parallelMode = True ;set to false to disable parallel ``` ## Visualization For visualization, user either can use the python scripts available inside ``scripts`` directory or can write their own. After successful run the data will be available under ``data`` directory. Two different data formats are available at present. The complete dataset will available under the name particle.hdf5. For vtk visualization users can use ``.vtu`` files inside ``data/vtkdata``. [Paraview](https://www.paraview.org/) can be used to animate particle dynamics very easily. A sample video can be found [here](https://www.youtube.com/embed/qvQRUX-rSrQ). ## Contributing We welcome contributions to this project. 1. Fork it. 2. Create your feature branch (```git checkout -b my-new-feature```). 3. Commit your changes (```git commit -am 'Add some feature'```). 4. Push to the branch (```git push origin my-new-feature```). 5. Create new Pull Request. ## License Released under the [MIT license](LICENSE). %package help Summary: Development documents and examples for PPDyn Provides: python3-PPDyn-doc %description help # PPDyn (Plasma Particle Dynamics) [![CI](https://github.com/sayanadhikari/PPDyn/actions/workflows/main.yml/badge.svg)](https://github.com/sayanadhikari/PPDyn/actions/workflows/main.yml) [![build](https://github.com/sayanadhikari/PPDyn/actions/workflows/make.yml/badge.svg)](https://github.com/sayanadhikari/PPDyn/actions/workflows/make.yml) [![DOI](https://zenodo.org/badge/349242730.svg)](https://zenodo.org/badge/latestdoi/349242730) [![Documentation Status](https://readthedocs.org/projects/ppdyn/badge/?version=latest)](https://ppdyn.readthedocs.io/en/latest/?badge=latest) [![PyPI Version](https://img.shields.io/pypi/v/ppdyn.svg)](https://pypi.org/project/PPDyn/) A python code to simulate plasma particles using Molecular Dynamics Algorithm. [Numba JIT compiler](https://numba.pydata.org/) for Python has been implemented for faster performance. A detailed documentation can be found at https://ppdyn.readthedocs.io/. Example: [![PPDyn Example](http://img.youtube.com/vi/qvQRUX-rSrQ/0.jpg)](https://www.youtube.com/embed/qvQRUX-rSrQ) ## Problem ## Contributors - [Sayan Adhikari](https://github.com/sayanadhikari), UiO, Norway. [@sayanadhikari](https://twitter.com/sayanadhikari) - [Rupak Mukherjee](https://github.com/RupakMukherjee), PPPL, USA. ## Installation ### Prerequisites 1. [GNU Make](https://www.gnu.org/software/make/) 2. [python3 or higher](https://www.python.org/download/releases/3.0/) 3. [git](https://git-scm.com/) ### Procedure #### Using PyPI ```bash pip install PPDyn ``` *Usage* Download the input template to your working directory ```shell wget https://raw.githubusercontent.com/sayanadhikari/PPDyn/main/input.ini ``` Now, either create a python script in your working directory or use your python console ```python from PPDyn import ppdyn from PPDyn.ppdplot import animate import time start = time.time() ppdyn(input) end = time.time() print("Elapsed (after compilation) = %s"%(end - start)+" seconds") animate() ``` #### Using GNU Make First make a clone of the master branch using the following command ```shell git clone https://github.com/sayanadhikari/PPDyn.git ``` Then enter inside the *PPDyn* directory ```shell cd PPDyn ``` Now complile and built the *PPDyn* code ```shell make all ``` *Usage* Upon successful compilation, run the code using following command ```shell ppdyn -i input.ini ``` ## Parameter Setup Edit the _input.ini_ and run the code again. The basic structure of _input.ini_ is provided below, ```ini ; ; @file input.ini ; @brief PPDyn inputfile. ; scope = default [simbox] Lx = 10.0 ; System length in X Ly = 10.0 ; System length in Y Lz = 10.0 ; System length in Z [particles] N = 700 ; Number of particles Vxmax = 1.0 ; Maximum velocity in X Vymax = 1.0 ; Maximum velocity in Y Vzmax = 1.0 ; Maximum velocity in Z Temp = 0.01 ; [screening] k = 1.0 [boundary] btype = reflecting ; Type of boundary Options: periodic, reflecting [time] tmax = 1000.0 ; Final time dt = 0.010 ; time step size [diagnostics] dumpPeriod = 50 ; Data dump period dumpData = True vtkData = False [options] parallelMode = True ;set to false to disable parallel ``` ## Visualization For visualization, user either can use the python scripts available inside ``scripts`` directory or can write their own. After successful run the data will be available under ``data`` directory. Two different data formats are available at present. The complete dataset will available under the name particle.hdf5. For vtk visualization users can use ``.vtu`` files inside ``data/vtkdata``. [Paraview](https://www.paraview.org/) can be used to animate particle dynamics very easily. A sample video can be found [here](https://www.youtube.com/embed/qvQRUX-rSrQ). ## Contributing We welcome contributions to this project. 1. Fork it. 2. Create your feature branch (```git checkout -b my-new-feature```). 3. Commit your changes (```git commit -am 'Add some feature'```). 4. Push to the branch (```git push origin my-new-feature```). 5. Create new Pull Request. ## License Released under the [MIT license](LICENSE). %prep %autosetup -n PPDyn-1.0.8 %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-PPDyn -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue May 30 2023 Python_Bot - 1.0.8-1 - Package Spec generated