%global _empty_manifest_terminate_build 0 Name: python-rmol Version: 1.0.6.post1 Release: 1 Summary: Simple Python wrapper for RMOL License: MIT URL: https://github.com/airsim/rmol Source0: https://mirrors.nju.edu.cn/pypi/web/packages/16/d3/f1c69e6f91e2a6cd6fd87bfa9b75b633674b7f2ecf681e17bc59f960591d/rmol-1.0.6.post1.tar.gz BuildArch: noarch %description # Summary RMOL is a C++ library of Revenue Management and Optimisation classes and functions. Typically, that library may be used by service providers (_e.g._, airlines offering flight seats, hotels offering rooms, rental car companies offering rental days, broadcasting company offering advertisement slots, theaters offering seats, _etc_) to help in optimising their revenues from seat capacities. Most of the algorithms implemented are public and documented in the following book: The Theory and practice of Revenue Management, by Kalyan T. Talluri and Garrett J. van Ryzin, Kluwer Academic Publishers, 2004, ISBN 1-4020-7701-7 RMOL makes an extensive use of existing open-source libraries for increased functionality, speed and accuracy. In particular the Boost (C++ Standard Extensions: http://www.boost.org) library is used. RMOL is the one of the components of the Travel Market Simulator (https://travel-sim.org). However, it may be used in a stand-alone mode. # Installation ## On Fedora/CentOS/RedHat distribution Just use DNF: ```bash $ dnf -y install rmol-devel rmol-doc ``` You can also get the RPM packages (which may work on Linux distributions like Suse and Mandriva) from the Fedora repository (_e.g._, for Fedora 32, https://fr2.rpmfind.net/linux/RPM/fedora/32/x86_64/) ## Building the library and test binary from Git repository The Git repository may be cloned as following: ```bash $ git clone git@github.com:airsim/rmol.git rmolgit # through SSH $ git clone https://github.com/airsim/rmol.git # if the firewall filters SSH $ cd rmolgit ``` Then, you need the following packages (Fedora/RedHat/CentOS names here, but names may vary according to distributions): * `cmake` * `gcc-c++` * `boost-devel` / `libboost-dev` * `python-devel` / `python-dev` * `gettext-devel` / `gettext` * `sqlite3-devel` / `libsqlite3-dev` * `readline-devel` / `libreadline-dev` * `libncurses5-devel` * `soci-mysql-devel`, `soci-sqlite3-devel` * `stdair-devel` / `libstdair-dev` * `airrac-devel` / `libairrac-dev` * `doxygen`, `ghostscript`, `graphviz` * `tetex-latex` (optional) * `rpm-build` (optional) ## Building the library and test binary from the tarball The latest stable source tarball (`rmol*.tar.gz` or `.bz2`) can be found on GitHub: http://github.com/airsim/rmol/releases, _e.g._, https://github.com/airsim/rmol/archive/rmol-1.00.6.tar.gz As RMOL depends on other [Travel Market Simulator (TvlSim/AirSim)](https://github.com/airsim/) modules, more specifically [StdAir](https://github.com/airsim/stdair) and [AirRAC](https://github.com/airsim/airrac), it may be convenient to use the [MetaSim project](https://github.com/airsim/metasim), which pulls at once all the components of TvlSim in the same place, and then orchestrates the dependencies for the builds, installations and use of components. If MetaSim is not used, in order to customise the following to your environment, you can alter the path to the installation directory: ```bash export INSTALL_BASEDIR="${HOME}/dev/deliveries" export RMOL_VER="1.00.6" if [ -d /usr/lib64 ]; then LIBSUFFIX="64"; fi export LIBSUFFIX_4_CMAKE="-DLIB_SUFFIX=$LIBSUFFIX" ``` Then, as usual: * To configure the project, type something like: ```bash mkdir build && cd build cmake -DCMAKE_INSTALL_PREFIX=${INSTALL_BASEDIR}/rmol-$RMOL_VER \ -DWITH_STDAIR_PREFIX=${INSTALL_BASEDIR}/stdair-stable \ -DWITH_AIRRAC_PREFIX=${INSTALL_BASEDIR}/airrac-stable \ -DCMAKE_BUILD_TYPE:STRING=Debug -DENABLE_TEST:BOOL=ON -DINSTALL_DOC:BOOL=ON \ -DRUN_GCOV:BOOL=OFF ${LIBSUFFIX_4_CMAKE} .. ${LIBSUFFIX_4_CMAKE} .. ``` * To build the project, type: ```bash make ``` * To test the project, type: ```bash make check ``` * To install the library (`librmol*.so*`) and the binary (`rmol`), ```bash make install cd ${INSTALL_BASEDIR} rm -f rmol-stable && ln -s rmol-${RMOL_VER} rmol-stable cd - ``` * To package the source files, type: ```bash make dist ``` * To package the binary and the (HTML and PDF) documentation: ```bash make package ``` * To browse the (just installed, if enabled) HTML documentation: ```bash open file://${INSTALL_BASEDIR}/rmol-${RMOL_VER}/share/doc/rmol/html/index.html ``` * To browse the (just installed, if enabled) PDF documentation: ```bash open ${INSTALL_BASEDIR}/rmol-${RMOL_VER}/share/doc/rmol/html/refman.pdf ``` * To run the local binary version: ``` ./rmol/rmol -b ``` * To run the installed version: ```bash ${INSTALL_BASEDIR}/rmol-$RMOL_VER/bin/rmol -b ``` # Python extension The way to interact with a C++-based Python extension is extensively described in the [OpenTREP project](https://github.com/trep/opentrep). Only a quick start is given here. ## Python dependencies * Install Python dependencies: ```bash $ python3 -m pip install -U pip $ python3 -m pip install -U wheel $ python3 -m pip install -U build setuptools scikit-build tox pytest sphinx twine ``` ## Build the Python extension * Build the Python extension with SciKit-Build: ```bash $ rm -rf _skbuild/ dist/ MANIFEST_ $ python3 setup.py --build-type=Debug build sdist bdist_wheel ``` * The Python artifacts should be similar to: ```bash $ ls -lFh dist/ total 5872 -rw-r--r-- 1 user staff 2.0M Jun 1 15:49 rmol-1.0.5.post1-cp38-cp38-macosx_10_15_x86_64.whl -rw-r--r-- 1 user staff 834K Jun 1 15:49 rmol-1.0.5.post1.tar.gz ``` * Updload the RMOL Python extension onto PyPi: ```bash $ twine upload -u __token__ --repository-url https://upload.pypi.org/legacy/ dist/* ``` * The RMOL Python artifacts may then be browsed on PyyPI: https://pypi.org/project/rmol/ ## Use the Python extension * Launch the Python interpreter: ```bash $ export PYTHONPATH=${PWD}/_skbuild/macosx-10.15-x86_64-3.8/cmake-install/lib:${PWD}/_skbuild/macosx-10.15-x86_64-3.8/cmake-install/lib/python3.8/site-packages/pyrmol $ DYLD_INSERT_LIBRARIES=/Library/Developer/CommandLineTools/usr/lib/clang/11.0.0/lib/darwin/libclang_rt.asan_osx_dynamic.dylib ASAN_OPTIONS=detect_container_overflow=0 /usr/local/Cellar/python@3.8/3.8.3/Frameworks/Python.framework/Versions/3.8/Resources/Python.app/Contents/MacOS/Python ``` * Within the Python interpreter, import, initialize and use the RMOL Python extension: ```python Python 3.8.3 (default, May 27 2020, 20:54:22) [Clang 11.0.3 (clang-1103.0.32.59)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import pyrmol >>> rmolLibrary = pyrmol.RMOLer() >>> rmolLibrary.init('rmol.log', 40, 1, '') True >>> rmolLibrary.rmol(100, 10, 40.0) 'RMOL has completed the generation of the booking requests. See the log file for more details.\n' >>> quit() ``` * Back to the Shell session, look for the results in the RMOL log file: ```bash $ cat rmol.log Python wrapper initialisation [D]${STDAIR_PREFIX}/stdair/command/CmdBomManager.cpp:52: StdAir is building the BOM tree from built-in specifications. Python wrapper initialised Optimisation for 100 draws, capacity of 40, and with the following method: 10 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:491: Optimisation by Monte-Carlo performed in 0.000321 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:492: Result: Yield: 100.00, Protection: 70.48, Booking limit: 100.00 Yield: 70.00, Protection: 156.19, Booking limit: 29.52 Yield: 42.00, Protection: -0.00, Booking limit: -56.19 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:505: Bid-Price Vector (BPV): 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 99.00, 99.00, 99.00, 99.00, 99.00, 98.00, 98.00, 97.00, 96.00, 96.00, 96.00, 96.00, 96.00, 95.00, 94.00, 94.00, 90.00, 90.00, 89.00, 88.00, 86.00, 84.00, 82.00, 80.00, 80.00, 79.00, 77.00, 76.00, 75.00, 72.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00 End of the optimisation. RMOL output: ``` * Of course, a few more features could be added to the Python extension API, in order not to have to leave the Python interpreter to interact with the results of invoking the optimizer. Do not hesitate to contribute through [Pull Requests](https://github.com/airsim/rmol/pulls), which are always welcome! %package -n python3-rmol Summary: Simple Python wrapper for RMOL Provides: python-rmol BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-rmol # Summary RMOL is a C++ library of Revenue Management and Optimisation classes and functions. Typically, that library may be used by service providers (_e.g._, airlines offering flight seats, hotels offering rooms, rental car companies offering rental days, broadcasting company offering advertisement slots, theaters offering seats, _etc_) to help in optimising their revenues from seat capacities. Most of the algorithms implemented are public and documented in the following book: The Theory and practice of Revenue Management, by Kalyan T. Talluri and Garrett J. van Ryzin, Kluwer Academic Publishers, 2004, ISBN 1-4020-7701-7 RMOL makes an extensive use of existing open-source libraries for increased functionality, speed and accuracy. In particular the Boost (C++ Standard Extensions: http://www.boost.org) library is used. RMOL is the one of the components of the Travel Market Simulator (https://travel-sim.org). However, it may be used in a stand-alone mode. # Installation ## On Fedora/CentOS/RedHat distribution Just use DNF: ```bash $ dnf -y install rmol-devel rmol-doc ``` You can also get the RPM packages (which may work on Linux distributions like Suse and Mandriva) from the Fedora repository (_e.g._, for Fedora 32, https://fr2.rpmfind.net/linux/RPM/fedora/32/x86_64/) ## Building the library and test binary from Git repository The Git repository may be cloned as following: ```bash $ git clone git@github.com:airsim/rmol.git rmolgit # through SSH $ git clone https://github.com/airsim/rmol.git # if the firewall filters SSH $ cd rmolgit ``` Then, you need the following packages (Fedora/RedHat/CentOS names here, but names may vary according to distributions): * `cmake` * `gcc-c++` * `boost-devel` / `libboost-dev` * `python-devel` / `python-dev` * `gettext-devel` / `gettext` * `sqlite3-devel` / `libsqlite3-dev` * `readline-devel` / `libreadline-dev` * `libncurses5-devel` * `soci-mysql-devel`, `soci-sqlite3-devel` * `stdair-devel` / `libstdair-dev` * `airrac-devel` / `libairrac-dev` * `doxygen`, `ghostscript`, `graphviz` * `tetex-latex` (optional) * `rpm-build` (optional) ## Building the library and test binary from the tarball The latest stable source tarball (`rmol*.tar.gz` or `.bz2`) can be found on GitHub: http://github.com/airsim/rmol/releases, _e.g._, https://github.com/airsim/rmol/archive/rmol-1.00.6.tar.gz As RMOL depends on other [Travel Market Simulator (TvlSim/AirSim)](https://github.com/airsim/) modules, more specifically [StdAir](https://github.com/airsim/stdair) and [AirRAC](https://github.com/airsim/airrac), it may be convenient to use the [MetaSim project](https://github.com/airsim/metasim), which pulls at once all the components of TvlSim in the same place, and then orchestrates the dependencies for the builds, installations and use of components. If MetaSim is not used, in order to customise the following to your environment, you can alter the path to the installation directory: ```bash export INSTALL_BASEDIR="${HOME}/dev/deliveries" export RMOL_VER="1.00.6" if [ -d /usr/lib64 ]; then LIBSUFFIX="64"; fi export LIBSUFFIX_4_CMAKE="-DLIB_SUFFIX=$LIBSUFFIX" ``` Then, as usual: * To configure the project, type something like: ```bash mkdir build && cd build cmake -DCMAKE_INSTALL_PREFIX=${INSTALL_BASEDIR}/rmol-$RMOL_VER \ -DWITH_STDAIR_PREFIX=${INSTALL_BASEDIR}/stdair-stable \ -DWITH_AIRRAC_PREFIX=${INSTALL_BASEDIR}/airrac-stable \ -DCMAKE_BUILD_TYPE:STRING=Debug -DENABLE_TEST:BOOL=ON -DINSTALL_DOC:BOOL=ON \ -DRUN_GCOV:BOOL=OFF ${LIBSUFFIX_4_CMAKE} .. ${LIBSUFFIX_4_CMAKE} .. ``` * To build the project, type: ```bash make ``` * To test the project, type: ```bash make check ``` * To install the library (`librmol*.so*`) and the binary (`rmol`), ```bash make install cd ${INSTALL_BASEDIR} rm -f rmol-stable && ln -s rmol-${RMOL_VER} rmol-stable cd - ``` * To package the source files, type: ```bash make dist ``` * To package the binary and the (HTML and PDF) documentation: ```bash make package ``` * To browse the (just installed, if enabled) HTML documentation: ```bash open file://${INSTALL_BASEDIR}/rmol-${RMOL_VER}/share/doc/rmol/html/index.html ``` * To browse the (just installed, if enabled) PDF documentation: ```bash open ${INSTALL_BASEDIR}/rmol-${RMOL_VER}/share/doc/rmol/html/refman.pdf ``` * To run the local binary version: ``` ./rmol/rmol -b ``` * To run the installed version: ```bash ${INSTALL_BASEDIR}/rmol-$RMOL_VER/bin/rmol -b ``` # Python extension The way to interact with a C++-based Python extension is extensively described in the [OpenTREP project](https://github.com/trep/opentrep). Only a quick start is given here. ## Python dependencies * Install Python dependencies: ```bash $ python3 -m pip install -U pip $ python3 -m pip install -U wheel $ python3 -m pip install -U build setuptools scikit-build tox pytest sphinx twine ``` ## Build the Python extension * Build the Python extension with SciKit-Build: ```bash $ rm -rf _skbuild/ dist/ MANIFEST_ $ python3 setup.py --build-type=Debug build sdist bdist_wheel ``` * The Python artifacts should be similar to: ```bash $ ls -lFh dist/ total 5872 -rw-r--r-- 1 user staff 2.0M Jun 1 15:49 rmol-1.0.5.post1-cp38-cp38-macosx_10_15_x86_64.whl -rw-r--r-- 1 user staff 834K Jun 1 15:49 rmol-1.0.5.post1.tar.gz ``` * Updload the RMOL Python extension onto PyPi: ```bash $ twine upload -u __token__ --repository-url https://upload.pypi.org/legacy/ dist/* ``` * The RMOL Python artifacts may then be browsed on PyyPI: https://pypi.org/project/rmol/ ## Use the Python extension * Launch the Python interpreter: ```bash $ export PYTHONPATH=${PWD}/_skbuild/macosx-10.15-x86_64-3.8/cmake-install/lib:${PWD}/_skbuild/macosx-10.15-x86_64-3.8/cmake-install/lib/python3.8/site-packages/pyrmol $ DYLD_INSERT_LIBRARIES=/Library/Developer/CommandLineTools/usr/lib/clang/11.0.0/lib/darwin/libclang_rt.asan_osx_dynamic.dylib ASAN_OPTIONS=detect_container_overflow=0 /usr/local/Cellar/python@3.8/3.8.3/Frameworks/Python.framework/Versions/3.8/Resources/Python.app/Contents/MacOS/Python ``` * Within the Python interpreter, import, initialize and use the RMOL Python extension: ```python Python 3.8.3 (default, May 27 2020, 20:54:22) [Clang 11.0.3 (clang-1103.0.32.59)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import pyrmol >>> rmolLibrary = pyrmol.RMOLer() >>> rmolLibrary.init('rmol.log', 40, 1, '') True >>> rmolLibrary.rmol(100, 10, 40.0) 'RMOL has completed the generation of the booking requests. See the log file for more details.\n' >>> quit() ``` * Back to the Shell session, look for the results in the RMOL log file: ```bash $ cat rmol.log Python wrapper initialisation [D]${STDAIR_PREFIX}/stdair/command/CmdBomManager.cpp:52: StdAir is building the BOM tree from built-in specifications. Python wrapper initialised Optimisation for 100 draws, capacity of 40, and with the following method: 10 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:491: Optimisation by Monte-Carlo performed in 0.000321 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:492: Result: Yield: 100.00, Protection: 70.48, Booking limit: 100.00 Yield: 70.00, Protection: 156.19, Booking limit: 29.52 Yield: 42.00, Protection: -0.00, Booking limit: -56.19 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:505: Bid-Price Vector (BPV): 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 99.00, 99.00, 99.00, 99.00, 99.00, 98.00, 98.00, 97.00, 96.00, 96.00, 96.00, 96.00, 96.00, 95.00, 94.00, 94.00, 90.00, 90.00, 89.00, 88.00, 86.00, 84.00, 82.00, 80.00, 80.00, 79.00, 77.00, 76.00, 75.00, 72.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00 End of the optimisation. RMOL output: ``` * Of course, a few more features could be added to the Python extension API, in order not to have to leave the Python interpreter to interact with the results of invoking the optimizer. Do not hesitate to contribute through [Pull Requests](https://github.com/airsim/rmol/pulls), which are always welcome! %package help Summary: Development documents and examples for rmol Provides: python3-rmol-doc %description help # Summary RMOL is a C++ library of Revenue Management and Optimisation classes and functions. Typically, that library may be used by service providers (_e.g._, airlines offering flight seats, hotels offering rooms, rental car companies offering rental days, broadcasting company offering advertisement slots, theaters offering seats, _etc_) to help in optimising their revenues from seat capacities. Most of the algorithms implemented are public and documented in the following book: The Theory and practice of Revenue Management, by Kalyan T. Talluri and Garrett J. van Ryzin, Kluwer Academic Publishers, 2004, ISBN 1-4020-7701-7 RMOL makes an extensive use of existing open-source libraries for increased functionality, speed and accuracy. In particular the Boost (C++ Standard Extensions: http://www.boost.org) library is used. RMOL is the one of the components of the Travel Market Simulator (https://travel-sim.org). However, it may be used in a stand-alone mode. # Installation ## On Fedora/CentOS/RedHat distribution Just use DNF: ```bash $ dnf -y install rmol-devel rmol-doc ``` You can also get the RPM packages (which may work on Linux distributions like Suse and Mandriva) from the Fedora repository (_e.g._, for Fedora 32, https://fr2.rpmfind.net/linux/RPM/fedora/32/x86_64/) ## Building the library and test binary from Git repository The Git repository may be cloned as following: ```bash $ git clone git@github.com:airsim/rmol.git rmolgit # through SSH $ git clone https://github.com/airsim/rmol.git # if the firewall filters SSH $ cd rmolgit ``` Then, you need the following packages (Fedora/RedHat/CentOS names here, but names may vary according to distributions): * `cmake` * `gcc-c++` * `boost-devel` / `libboost-dev` * `python-devel` / `python-dev` * `gettext-devel` / `gettext` * `sqlite3-devel` / `libsqlite3-dev` * `readline-devel` / `libreadline-dev` * `libncurses5-devel` * `soci-mysql-devel`, `soci-sqlite3-devel` * `stdair-devel` / `libstdair-dev` * `airrac-devel` / `libairrac-dev` * `doxygen`, `ghostscript`, `graphviz` * `tetex-latex` (optional) * `rpm-build` (optional) ## Building the library and test binary from the tarball The latest stable source tarball (`rmol*.tar.gz` or `.bz2`) can be found on GitHub: http://github.com/airsim/rmol/releases, _e.g._, https://github.com/airsim/rmol/archive/rmol-1.00.6.tar.gz As RMOL depends on other [Travel Market Simulator (TvlSim/AirSim)](https://github.com/airsim/) modules, more specifically [StdAir](https://github.com/airsim/stdair) and [AirRAC](https://github.com/airsim/airrac), it may be convenient to use the [MetaSim project](https://github.com/airsim/metasim), which pulls at once all the components of TvlSim in the same place, and then orchestrates the dependencies for the builds, installations and use of components. If MetaSim is not used, in order to customise the following to your environment, you can alter the path to the installation directory: ```bash export INSTALL_BASEDIR="${HOME}/dev/deliveries" export RMOL_VER="1.00.6" if [ -d /usr/lib64 ]; then LIBSUFFIX="64"; fi export LIBSUFFIX_4_CMAKE="-DLIB_SUFFIX=$LIBSUFFIX" ``` Then, as usual: * To configure the project, type something like: ```bash mkdir build && cd build cmake -DCMAKE_INSTALL_PREFIX=${INSTALL_BASEDIR}/rmol-$RMOL_VER \ -DWITH_STDAIR_PREFIX=${INSTALL_BASEDIR}/stdair-stable \ -DWITH_AIRRAC_PREFIX=${INSTALL_BASEDIR}/airrac-stable \ -DCMAKE_BUILD_TYPE:STRING=Debug -DENABLE_TEST:BOOL=ON -DINSTALL_DOC:BOOL=ON \ -DRUN_GCOV:BOOL=OFF ${LIBSUFFIX_4_CMAKE} .. ${LIBSUFFIX_4_CMAKE} .. ``` * To build the project, type: ```bash make ``` * To test the project, type: ```bash make check ``` * To install the library (`librmol*.so*`) and the binary (`rmol`), ```bash make install cd ${INSTALL_BASEDIR} rm -f rmol-stable && ln -s rmol-${RMOL_VER} rmol-stable cd - ``` * To package the source files, type: ```bash make dist ``` * To package the binary and the (HTML and PDF) documentation: ```bash make package ``` * To browse the (just installed, if enabled) HTML documentation: ```bash open file://${INSTALL_BASEDIR}/rmol-${RMOL_VER}/share/doc/rmol/html/index.html ``` * To browse the (just installed, if enabled) PDF documentation: ```bash open ${INSTALL_BASEDIR}/rmol-${RMOL_VER}/share/doc/rmol/html/refman.pdf ``` * To run the local binary version: ``` ./rmol/rmol -b ``` * To run the installed version: ```bash ${INSTALL_BASEDIR}/rmol-$RMOL_VER/bin/rmol -b ``` # Python extension The way to interact with a C++-based Python extension is extensively described in the [OpenTREP project](https://github.com/trep/opentrep). Only a quick start is given here. ## Python dependencies * Install Python dependencies: ```bash $ python3 -m pip install -U pip $ python3 -m pip install -U wheel $ python3 -m pip install -U build setuptools scikit-build tox pytest sphinx twine ``` ## Build the Python extension * Build the Python extension with SciKit-Build: ```bash $ rm -rf _skbuild/ dist/ MANIFEST_ $ python3 setup.py --build-type=Debug build sdist bdist_wheel ``` * The Python artifacts should be similar to: ```bash $ ls -lFh dist/ total 5872 -rw-r--r-- 1 user staff 2.0M Jun 1 15:49 rmol-1.0.5.post1-cp38-cp38-macosx_10_15_x86_64.whl -rw-r--r-- 1 user staff 834K Jun 1 15:49 rmol-1.0.5.post1.tar.gz ``` * Updload the RMOL Python extension onto PyPi: ```bash $ twine upload -u __token__ --repository-url https://upload.pypi.org/legacy/ dist/* ``` * The RMOL Python artifacts may then be browsed on PyyPI: https://pypi.org/project/rmol/ ## Use the Python extension * Launch the Python interpreter: ```bash $ export PYTHONPATH=${PWD}/_skbuild/macosx-10.15-x86_64-3.8/cmake-install/lib:${PWD}/_skbuild/macosx-10.15-x86_64-3.8/cmake-install/lib/python3.8/site-packages/pyrmol $ DYLD_INSERT_LIBRARIES=/Library/Developer/CommandLineTools/usr/lib/clang/11.0.0/lib/darwin/libclang_rt.asan_osx_dynamic.dylib ASAN_OPTIONS=detect_container_overflow=0 /usr/local/Cellar/python@3.8/3.8.3/Frameworks/Python.framework/Versions/3.8/Resources/Python.app/Contents/MacOS/Python ``` * Within the Python interpreter, import, initialize and use the RMOL Python extension: ```python Python 3.8.3 (default, May 27 2020, 20:54:22) [Clang 11.0.3 (clang-1103.0.32.59)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import pyrmol >>> rmolLibrary = pyrmol.RMOLer() >>> rmolLibrary.init('rmol.log', 40, 1, '') True >>> rmolLibrary.rmol(100, 10, 40.0) 'RMOL has completed the generation of the booking requests. See the log file for more details.\n' >>> quit() ``` * Back to the Shell session, look for the results in the RMOL log file: ```bash $ cat rmol.log Python wrapper initialisation [D]${STDAIR_PREFIX}/stdair/command/CmdBomManager.cpp:52: StdAir is building the BOM tree from built-in specifications. Python wrapper initialised Optimisation for 100 draws, capacity of 40, and with the following method: 10 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:491: Optimisation by Monte-Carlo performed in 0.000321 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:492: Result: Yield: 100.00, Protection: 70.48, Booking limit: 100.00 Yield: 70.00, Protection: 156.19, Booking limit: 29.52 Yield: 42.00, Protection: -0.00, Booking limit: -56.19 [D]${RMOL_PREFIX}/rmol/service/RMOL_Service.cpp:505: Bid-Price Vector (BPV): 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 100.00, 99.00, 99.00, 99.00, 99.00, 99.00, 98.00, 98.00, 97.00, 96.00, 96.00, 96.00, 96.00, 96.00, 95.00, 94.00, 94.00, 90.00, 90.00, 89.00, 88.00, 86.00, 84.00, 82.00, 80.00, 80.00, 79.00, 77.00, 76.00, 75.00, 72.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00, 70.00 End of the optimisation. RMOL output: ``` * Of course, a few more features could be added to the Python extension API, in order not to have to leave the Python interpreter to interact with the results of invoking the optimizer. Do not hesitate to contribute through [Pull Requests](https://github.com/airsim/rmol/pulls), which are always welcome! %prep %autosetup -n rmol-1.0.6.post1 %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-rmol -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Apr 21 2023 Python_Bot - 1.0.6.post1-1 - Package Spec generated