automatic import of python-jgrapht

3 files changed, 619 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..4aa4119 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/jgrapht-1.5.0.3.tar.gz
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
+[![Build Status](https://travis-ci.org/d-michail/python-jgrapht.svg?branch=master)](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
+[![Build Status](https://travis-ci.org/d-michail/python-jgrapht.svg?branch=master)](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
+[![Build Status](https://travis-ci.org/d-michail/python-jgrapht.svg?branch=master)](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
diff --git a/sources b/sources
new file mode 100644
index 0000000..85a0308
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+285055249224ab14badd94559f44658f  jgrapht-1.5.0.3.tar.gz