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diff --git a/python-jgrapht.spec b/python-jgrapht.spec new file mode 100644 index 0000000..15333fa --- /dev/null +++ b/python-jgrapht.spec @@ -0,0 +1,617 @@ +%global _empty_manifest_terminate_build 0 +Name: python-jgrapht +Version: 1.5.0.3 +Release: 1 +Summary: JGraphT graph library +License: LGPL-2.1-or-later OR EPL-2.0 +URL: https://github.com/d-michail/python-jgrapht +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/2a/00/9c910c9e55fc2a644f9b9d468f0b6390796cb0bfcd36143719584e8889b5/jgrapht-1.5.0.3.tar.gz + + +%description +[](https://travis-ci.org/d-michail/python-jgrapht) + +# Python-JGraphT + +Python bindings for the [JGraphT graph library](https://jgrapht.org/). + +The JGraphT is a free Java class library that provides mathematical graph-theory objects and algorithms. It +contains very efficient and generic graph data-structures along with a sizeable collection of sophisticated +algorithms. The library is written with stability, performance and interoperability in mind. It includes +algorithms encountered in diverse application domains such as path planning, routing, network analysis, +combinatorial optimization, computational biology, and others. + +While the original library is written in Java, this package uses a *native build* provided by +the [jgrapht-capi](https://github.com/jgrapht/jgrapht-capi) project. The native build is in the form of a +shared library, created by [GraalVM](https://www.graalvm.org/). + +The result is a *native self-contained library* with *no dependency* on the JVM! + +## Installing + +We automatically build 64-bit wheels for python versions 3.6, 3.7, and 3.8 on Linux, +Windows and MacOSX. They can be directly downloaded from [PyPI](https://pypi.org/project/jgrapht/) +or using pip. +For linux we use [PEP 571](https://www.python.org/dev/peps/pep-0571/) +which means that pip version must be `>= 19.0`. + +Thus, on a recent machine, installation should be as easy as: + +``` +pip install jgrapht +``` + +If your pip version is older than `19.0` you will need to upgrade: + +``` +pip install --upgrade pip +pip install jgrapht +``` + +If you want to use `virtualenv` or `venv` module, you can write: + +``` +python -m venv venv +source venv/bin/activate +pip install --upgrade pip +pip install jgrapht +``` + +Installation on the user directory is also possible: + +``` +pip install --upgrade pip +pip install --user jgrapht +``` + +## Documentation + +Automatically generated documentation with a tutorial and examples can be found at +<https://python-jgrapht.readthedocs.io/>. This includes full API docs, tutorials and examples. + +## Citing + +Are you using the software in your research? We would appreciate if you cite the following publication: + +``` +@article{jgrapht, + title = {{J}{G}raph{T}--{A} {J}ava {L}ibrary for {G}raph {D}ata {S}tructures and {A}lgorithms}, + author = {Michail, Dimitrios and Kinable, Joris and Naveh, Barak and Sichi, John V.}, + year = {2020}, + issue_date = {May 2020}, + publisher = {Association for Computing Machinery}, + address = {New York, NY, USA}, + volume = {46}, + number = {2}, + journal = {ACM Trans. Math. Softw.}, + month = may, + articleno = {16}, + numpages = {29}, +} +``` + +## Building + +The jgrapht-capi project is included in the sources as a git submodule in folder `vendor/source/jgrapht-capi`. +You need to either initialize the submodule by hand, or you can pass option `--recurse-submodules` when +cloning this repository. + +The following pieces of software are required for the build to succeed: + + * GraalVM 20.0 with Java 11 support + * Native Image component from GraalVM + * Maven Java build tool + * GNU C compiler or clang + * CMake + * Python 3.6 and above + * SWIG 3 and above + +If all the above are installed properly, building can be done using + +``` +python setup.py build +``` + +For Windows you will need Microsoft Visual C++ (MSVC) 2017 15.5.5 or later. Build the +system using the proper +[Developer Command Prompt](https://docs.microsoft.com/en-us/cpp/build/building-on-the-command-line?view=vs-2019#developer_command_prompt_shortcuts) +for your version of [Visual Studio](https://visualstudio.microsoft.com/vs/). This means +`x64 Native Tools Command Prompt`. Use Visual Studio 2017 or later. + +## Install + +Install using + +``` +pip install . +``` + +## Develop + +Since the library contains parts which are written in C that need to be compiled before use, make sure you have +the necessary compilers and development headers installed. Compiled code means that additional steps are required +in order to import from the development sources. Using the following commands you can setup an in-place development +environment: + +``` +python3 -m venv .venv +source .venv/bin/activate +pip install -r requirements.txt +``` + +This allows you to import the in-place build from the repository base directory. If you want it to +also be visible outside the base dir, you have to adjust the `PYTHONPATH` accordingly. +Note also that the above commands call `python setup.py develop`. Instead of adjusting PYTHONPATH, this installs +a .egg-link file into your site-packages as well as adjusts the easy-install.pth there, so its a more permanent +operation. + +## Tests + +Execute the tests by giving + +``` +pip install -r requirements/test.txt +pytest +``` + +## Building the docs + +``` +pip install -r requirements/doc.txt +cd docs && make html +``` + +## License + +This library may be used under the terms of either the + + * GNU Lesser General Public License (LGPL) 2.1 + http://www.gnu.org/licenses/lgpl-2.1.html + +or the + + * Eclipse Public License (EPL) + http://www.eclipse.org/org/documents/epl-v20.php + +As a recipient, you may choose which license to receive the code under. +A copy of the [EPL license](license-EPL.txt) and the [LPGL license](license-LGPL.txt) is included in this repository. + +Please note that this library is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. + +Please refer to the license for details. + +SPDX-License-Identifier: LGPL-2.1-or-later OR EPL-2.0 + +## Author + +(C) Copyright 2020, by Dimitrios Michail + + +Enjoy! + + + + +%package -n python3-jgrapht +Summary: JGraphT graph library +Provides: python-jgrapht +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-jgrapht +[](https://travis-ci.org/d-michail/python-jgrapht) + +# Python-JGraphT + +Python bindings for the [JGraphT graph library](https://jgrapht.org/). + +The JGraphT is a free Java class library that provides mathematical graph-theory objects and algorithms. It +contains very efficient and generic graph data-structures along with a sizeable collection of sophisticated +algorithms. The library is written with stability, performance and interoperability in mind. It includes +algorithms encountered in diverse application domains such as path planning, routing, network analysis, +combinatorial optimization, computational biology, and others. + +While the original library is written in Java, this package uses a *native build* provided by +the [jgrapht-capi](https://github.com/jgrapht/jgrapht-capi) project. The native build is in the form of a +shared library, created by [GraalVM](https://www.graalvm.org/). + +The result is a *native self-contained library* with *no dependency* on the JVM! + +## Installing + +We automatically build 64-bit wheels for python versions 3.6, 3.7, and 3.8 on Linux, +Windows and MacOSX. They can be directly downloaded from [PyPI](https://pypi.org/project/jgrapht/) +or using pip. +For linux we use [PEP 571](https://www.python.org/dev/peps/pep-0571/) +which means that pip version must be `>= 19.0`. + +Thus, on a recent machine, installation should be as easy as: + +``` +pip install jgrapht +``` + +If your pip version is older than `19.0` you will need to upgrade: + +``` +pip install --upgrade pip +pip install jgrapht +``` + +If you want to use `virtualenv` or `venv` module, you can write: + +``` +python -m venv venv +source venv/bin/activate +pip install --upgrade pip +pip install jgrapht +``` + +Installation on the user directory is also possible: + +``` +pip install --upgrade pip +pip install --user jgrapht +``` + +## Documentation + +Automatically generated documentation with a tutorial and examples can be found at +<https://python-jgrapht.readthedocs.io/>. This includes full API docs, tutorials and examples. + +## Citing + +Are you using the software in your research? We would appreciate if you cite the following publication: + +``` +@article{jgrapht, + title = {{J}{G}raph{T}--{A} {J}ava {L}ibrary for {G}raph {D}ata {S}tructures and {A}lgorithms}, + author = {Michail, Dimitrios and Kinable, Joris and Naveh, Barak and Sichi, John V.}, + year = {2020}, + issue_date = {May 2020}, + publisher = {Association for Computing Machinery}, + address = {New York, NY, USA}, + volume = {46}, + number = {2}, + journal = {ACM Trans. Math. Softw.}, + month = may, + articleno = {16}, + numpages = {29}, +} +``` + +## Building + +The jgrapht-capi project is included in the sources as a git submodule in folder `vendor/source/jgrapht-capi`. +You need to either initialize the submodule by hand, or you can pass option `--recurse-submodules` when +cloning this repository. + +The following pieces of software are required for the build to succeed: + + * GraalVM 20.0 with Java 11 support + * Native Image component from GraalVM + * Maven Java build tool + * GNU C compiler or clang + * CMake + * Python 3.6 and above + * SWIG 3 and above + +If all the above are installed properly, building can be done using + +``` +python setup.py build +``` + +For Windows you will need Microsoft Visual C++ (MSVC) 2017 15.5.5 or later. Build the +system using the proper +[Developer Command Prompt](https://docs.microsoft.com/en-us/cpp/build/building-on-the-command-line?view=vs-2019#developer_command_prompt_shortcuts) +for your version of [Visual Studio](https://visualstudio.microsoft.com/vs/). This means +`x64 Native Tools Command Prompt`. Use Visual Studio 2017 or later. + +## Install + +Install using + +``` +pip install . +``` + +## Develop + +Since the library contains parts which are written in C that need to be compiled before use, make sure you have +the necessary compilers and development headers installed. Compiled code means that additional steps are required +in order to import from the development sources. Using the following commands you can setup an in-place development +environment: + +``` +python3 -m venv .venv +source .venv/bin/activate +pip install -r requirements.txt +``` + +This allows you to import the in-place build from the repository base directory. If you want it to +also be visible outside the base dir, you have to adjust the `PYTHONPATH` accordingly. +Note also that the above commands call `python setup.py develop`. Instead of adjusting PYTHONPATH, this installs +a .egg-link file into your site-packages as well as adjusts the easy-install.pth there, so its a more permanent +operation. + +## Tests + +Execute the tests by giving + +``` +pip install -r requirements/test.txt +pytest +``` + +## Building the docs + +``` +pip install -r requirements/doc.txt +cd docs && make html +``` + +## License + +This library may be used under the terms of either the + + * GNU Lesser General Public License (LGPL) 2.1 + http://www.gnu.org/licenses/lgpl-2.1.html + +or the + + * Eclipse Public License (EPL) + http://www.eclipse.org/org/documents/epl-v20.php + +As a recipient, you may choose which license to receive the code under. +A copy of the [EPL license](license-EPL.txt) and the [LPGL license](license-LGPL.txt) is included in this repository. + +Please note that this library is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. + +Please refer to the license for details. + +SPDX-License-Identifier: LGPL-2.1-or-later OR EPL-2.0 + +## Author + +(C) Copyright 2020, by Dimitrios Michail + + +Enjoy! + + + + +%package help +Summary: Development documents and examples for jgrapht +Provides: python3-jgrapht-doc +%description help +[](https://travis-ci.org/d-michail/python-jgrapht) + +# Python-JGraphT + +Python bindings for the [JGraphT graph library](https://jgrapht.org/). + +The JGraphT is a free Java class library that provides mathematical graph-theory objects and algorithms. It +contains very efficient and generic graph data-structures along with a sizeable collection of sophisticated +algorithms. The library is written with stability, performance and interoperability in mind. It includes +algorithms encountered in diverse application domains such as path planning, routing, network analysis, +combinatorial optimization, computational biology, and others. + +While the original library is written in Java, this package uses a *native build* provided by +the [jgrapht-capi](https://github.com/jgrapht/jgrapht-capi) project. The native build is in the form of a +shared library, created by [GraalVM](https://www.graalvm.org/). + +The result is a *native self-contained library* with *no dependency* on the JVM! + +## Installing + +We automatically build 64-bit wheels for python versions 3.6, 3.7, and 3.8 on Linux, +Windows and MacOSX. They can be directly downloaded from [PyPI](https://pypi.org/project/jgrapht/) +or using pip. +For linux we use [PEP 571](https://www.python.org/dev/peps/pep-0571/) +which means that pip version must be `>= 19.0`. + +Thus, on a recent machine, installation should be as easy as: + +``` +pip install jgrapht +``` + +If your pip version is older than `19.0` you will need to upgrade: + +``` +pip install --upgrade pip +pip install jgrapht +``` + +If you want to use `virtualenv` or `venv` module, you can write: + +``` +python -m venv venv +source venv/bin/activate +pip install --upgrade pip +pip install jgrapht +``` + +Installation on the user directory is also possible: + +``` +pip install --upgrade pip +pip install --user jgrapht +``` + +## Documentation + +Automatically generated documentation with a tutorial and examples can be found at +<https://python-jgrapht.readthedocs.io/>. This includes full API docs, tutorials and examples. + +## Citing + +Are you using the software in your research? We would appreciate if you cite the following publication: + +``` +@article{jgrapht, + title = {{J}{G}raph{T}--{A} {J}ava {L}ibrary for {G}raph {D}ata {S}tructures and {A}lgorithms}, + author = {Michail, Dimitrios and Kinable, Joris and Naveh, Barak and Sichi, John V.}, + year = {2020}, + issue_date = {May 2020}, + publisher = {Association for Computing Machinery}, + address = {New York, NY, USA}, + volume = {46}, + number = {2}, + journal = {ACM Trans. Math. Softw.}, + month = may, + articleno = {16}, + numpages = {29}, +} +``` + +## Building + +The jgrapht-capi project is included in the sources as a git submodule in folder `vendor/source/jgrapht-capi`. +You need to either initialize the submodule by hand, or you can pass option `--recurse-submodules` when +cloning this repository. + +The following pieces of software are required for the build to succeed: + + * GraalVM 20.0 with Java 11 support + * Native Image component from GraalVM + * Maven Java build tool + * GNU C compiler or clang + * CMake + * Python 3.6 and above + * SWIG 3 and above + +If all the above are installed properly, building can be done using + +``` +python setup.py build +``` + +For Windows you will need Microsoft Visual C++ (MSVC) 2017 15.5.5 or later. Build the +system using the proper +[Developer Command Prompt](https://docs.microsoft.com/en-us/cpp/build/building-on-the-command-line?view=vs-2019#developer_command_prompt_shortcuts) +for your version of [Visual Studio](https://visualstudio.microsoft.com/vs/). This means +`x64 Native Tools Command Prompt`. Use Visual Studio 2017 or later. + +## Install + +Install using + +``` +pip install . +``` + +## Develop + +Since the library contains parts which are written in C that need to be compiled before use, make sure you have +the necessary compilers and development headers installed. Compiled code means that additional steps are required +in order to import from the development sources. Using the following commands you can setup an in-place development +environment: + +``` +python3 -m venv .venv +source .venv/bin/activate +pip install -r requirements.txt +``` + +This allows you to import the in-place build from the repository base directory. If you want it to +also be visible outside the base dir, you have to adjust the `PYTHONPATH` accordingly. +Note also that the above commands call `python setup.py develop`. Instead of adjusting PYTHONPATH, this installs +a .egg-link file into your site-packages as well as adjusts the easy-install.pth there, so its a more permanent +operation. + +## Tests + +Execute the tests by giving + +``` +pip install -r requirements/test.txt +pytest +``` + +## Building the docs + +``` +pip install -r requirements/doc.txt +cd docs && make html +``` + +## License + +This library may be used under the terms of either the + + * GNU Lesser General Public License (LGPL) 2.1 + http://www.gnu.org/licenses/lgpl-2.1.html + +or the + + * Eclipse Public License (EPL) + http://www.eclipse.org/org/documents/epl-v20.php + +As a recipient, you may choose which license to receive the code under. +A copy of the [EPL license](license-EPL.txt) and the [LPGL license](license-LGPL.txt) is included in this repository. + +Please note that this library is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. + +Please refer to the license for details. + +SPDX-License-Identifier: LGPL-2.1-or-later OR EPL-2.0 + +## Author + +(C) Copyright 2020, by Dimitrios Michail + + +Enjoy! + + + + +%prep +%autosetup -n jgrapht-1.5.0.3 + +%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-jgrapht -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 1.5.0.3-1 +- Package Spec generated |