diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-05-05 05:15:55 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-05-05 05:15:55 +0000 |
| commit | 80e97902d4163bf9064382bbb1ec7411f7c7e377 (patch) | |
| tree | 8323f575f8f382e1e6bf90dce22b2bb7c13a29c2 | |
| parent | f396e89c362647ce219288a6891c513877de646f (diff) | |
automatic import of python-iohopeneuler20.03
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-ioh.spec | 312 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 314 insertions, 0 deletions
@@ -0,0 +1 @@ +/ioh-0.3.9.tar.gz diff --git a/python-ioh.spec b/python-ioh.spec new file mode 100644 index 0000000..f2eb51a --- /dev/null +++ b/python-ioh.spec @@ -0,0 +1,312 @@ +%global _empty_manifest_terminate_build 0 +Name: python-ioh +Version: 0.3.9 +Release: 1 +Summary: The experimenter for Iterative Optimization Heuristics +License: BSD +URL: https://iohprofiler.github.io/IOHexperimenter +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/80/d9/31320b3dcc2984a17b28202682a03a2ba5e780e93fdb0c247dc260b5d035/ioh-0.3.9.tar.gz + +Requires: python3-numpy + +%description +# IOHexperimenter
+
+
+
+
+
+**Experimenter** for **I**terative **O**ptimization **H**euristics (IOHs), built in* `C++`.
+
+* **Documentation**: [https://iohprofiler.github.io/IOHexperimenter](https://iohprofiler.github.io/IOHexperimenter).
+* **Publication**: [https://arxiv.org/abs/1810.05281](https://arxiv.org/abs/1810.05281).
+* **Wiki page**: [https://iohprofiler.github.io](https://iohprofiler.github.io/).
+
+**IOHexperimenter** *provides*:
+
+* A framework to ease the benchmarking of any iterative optimization heuristic.
+* [Pseudo-Boolean Optimization (PBO)](https://iohprofiler.github.io/IOHproblem/) problem set (25 pseudo-Boolean problems).
+* Integration of the well-known [Black-black Optimization Benchmarking (BBOB)](https://github.com/numbbo/coco) problem set (24 continuous problems).
+* [W-model](https://dl.acm.org/doi/abs/10.1145/3205651.3208240?casa_token=S4U_Pi9f6MwAAAAA:U9ztNTPwmupT8K3GamWZfBL7-8fqjxPtr_kprv51vdwA-REsp0EyOFGa99BtbANb0XbqyrVg795hIw) problem sets constructed on OneMax and LeadingOnes.
+* Integration of the [Tree Decomposition (TD) Mk Landscapes](https://github.com/tobiasvandriessel/problem-generator) problems.
+* Submodular optimization problems, as seen in the [GECCO '22 workshop](https://cs.adelaide.edu.au/~optlog/CompetitionESO2022.php).
+* Flexible interface for adding new suites and problems.
+* Advanced logging module that takes care of registering the data in a seamless manner.
+* Data format is compatible with [IOHanalyzer](https://github.com/IOHprofiler/IOHanalyzer).
+
+**Available Problem Suites:**
+
+* BBOB (Single Objective Noiseless) (COCO)
+* SBOX-COST (COCO)
+* StarDiscrepancy
+* PBO
+* Submodular Graph Problems
+
+## C++
+
+The complete API documentation, can be found [here](https://iohprofiler.github.io/IOHexperimenter/cpp), as well as a Getting-Started guide. In addition to the documentation, some example projects can be found in the [example](./example/) folder of this repository.
+
+## Python
+
+The pip-version of IOHexperimenters python interface is available via [pip](https://pypi.org/project/ioh). A tutorial with python in the form of a jupyter notebook can be found in the example folder of [this repository](./example/tutorial.ipynb).
+A Getting-Started guide and the full API documentation can be found [here](https://iohprofiler.github.io/IOHexperimenter/python).
+
+## Contact
+
+If you have any questions, comments or suggestions, please don't hesitate contacting us <IOHprofiler@liacs.leidenuniv.nl>.
+
+### Our team
+
+* [Jacob de Nobel](https://www.universiteitleiden.nl/en/staffmembers/jacob-de-nobel), *Leiden Institute of Advanced Computer Science*,
+* [Furong Ye](https://www.universiteitleiden.nl/en/staffmembers/furong-ye#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Diederick Vermetten](https://www.universiteitleiden.nl/en/staffmembers/diederick-vermetten#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Hao Wang](https://www.universiteitleiden.nl/en/staffmembers/hao-wang#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Carola Doerr](http://www-desir.lip6.fr/~doerr/), *CNRS and Sorbonne University*,
+* [Thomas Bäck](https://www.universiteitleiden.nl/en/staffmembers/thomas-back#tab-1), *Leiden Institute of Advanced Computer Science*,
+
+When using IOHprofiler and parts thereof, please kindly cite this work as
+
+Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr and Thomas Bäck,
+*IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics*, arXiv e-prints:2111.04077, 2021.
+
+```bibtex
+@ARTICLE{IOHexperimenter,
+ author = {Jacob de Nobel and
+ Furong Ye and
+ Diederick Vermetten and
+ Hao Wang and
+ Carola Doerr and
+ Thomas B{\"{a}}ck},
+ title = {{IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics}},
+ journal = {arXiv e-prints:2111.04077},
+ archivePrefix = "arXiv",
+ eprint = {2111.04077},
+ year = 2021,
+ month = Nov,
+ keywords = {Computer Science - Neural and Evolutionary Computing},
+ url = {https://arxiv.org/abs/2111.04077}
+}
+```
+
+
+ + +%package -n python3-ioh +Summary: The experimenter for Iterative Optimization Heuristics +Provides: python-ioh +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-ioh +# IOHexperimenter
+
+
+
+
+
+**Experimenter** for **I**terative **O**ptimization **H**euristics (IOHs), built in* `C++`.
+
+* **Documentation**: [https://iohprofiler.github.io/IOHexperimenter](https://iohprofiler.github.io/IOHexperimenter).
+* **Publication**: [https://arxiv.org/abs/1810.05281](https://arxiv.org/abs/1810.05281).
+* **Wiki page**: [https://iohprofiler.github.io](https://iohprofiler.github.io/).
+
+**IOHexperimenter** *provides*:
+
+* A framework to ease the benchmarking of any iterative optimization heuristic.
+* [Pseudo-Boolean Optimization (PBO)](https://iohprofiler.github.io/IOHproblem/) problem set (25 pseudo-Boolean problems).
+* Integration of the well-known [Black-black Optimization Benchmarking (BBOB)](https://github.com/numbbo/coco) problem set (24 continuous problems).
+* [W-model](https://dl.acm.org/doi/abs/10.1145/3205651.3208240?casa_token=S4U_Pi9f6MwAAAAA:U9ztNTPwmupT8K3GamWZfBL7-8fqjxPtr_kprv51vdwA-REsp0EyOFGa99BtbANb0XbqyrVg795hIw) problem sets constructed on OneMax and LeadingOnes.
+* Integration of the [Tree Decomposition (TD) Mk Landscapes](https://github.com/tobiasvandriessel/problem-generator) problems.
+* Submodular optimization problems, as seen in the [GECCO '22 workshop](https://cs.adelaide.edu.au/~optlog/CompetitionESO2022.php).
+* Flexible interface for adding new suites and problems.
+* Advanced logging module that takes care of registering the data in a seamless manner.
+* Data format is compatible with [IOHanalyzer](https://github.com/IOHprofiler/IOHanalyzer).
+
+**Available Problem Suites:**
+
+* BBOB (Single Objective Noiseless) (COCO)
+* SBOX-COST (COCO)
+* StarDiscrepancy
+* PBO
+* Submodular Graph Problems
+
+## C++
+
+The complete API documentation, can be found [here](https://iohprofiler.github.io/IOHexperimenter/cpp), as well as a Getting-Started guide. In addition to the documentation, some example projects can be found in the [example](./example/) folder of this repository.
+
+## Python
+
+The pip-version of IOHexperimenters python interface is available via [pip](https://pypi.org/project/ioh). A tutorial with python in the form of a jupyter notebook can be found in the example folder of [this repository](./example/tutorial.ipynb).
+A Getting-Started guide and the full API documentation can be found [here](https://iohprofiler.github.io/IOHexperimenter/python).
+
+## Contact
+
+If you have any questions, comments or suggestions, please don't hesitate contacting us <IOHprofiler@liacs.leidenuniv.nl>.
+
+### Our team
+
+* [Jacob de Nobel](https://www.universiteitleiden.nl/en/staffmembers/jacob-de-nobel), *Leiden Institute of Advanced Computer Science*,
+* [Furong Ye](https://www.universiteitleiden.nl/en/staffmembers/furong-ye#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Diederick Vermetten](https://www.universiteitleiden.nl/en/staffmembers/diederick-vermetten#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Hao Wang](https://www.universiteitleiden.nl/en/staffmembers/hao-wang#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Carola Doerr](http://www-desir.lip6.fr/~doerr/), *CNRS and Sorbonne University*,
+* [Thomas Bäck](https://www.universiteitleiden.nl/en/staffmembers/thomas-back#tab-1), *Leiden Institute of Advanced Computer Science*,
+
+When using IOHprofiler and parts thereof, please kindly cite this work as
+
+Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr and Thomas Bäck,
+*IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics*, arXiv e-prints:2111.04077, 2021.
+
+```bibtex
+@ARTICLE{IOHexperimenter,
+ author = {Jacob de Nobel and
+ Furong Ye and
+ Diederick Vermetten and
+ Hao Wang and
+ Carola Doerr and
+ Thomas B{\"{a}}ck},
+ title = {{IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics}},
+ journal = {arXiv e-prints:2111.04077},
+ archivePrefix = "arXiv",
+ eprint = {2111.04077},
+ year = 2021,
+ month = Nov,
+ keywords = {Computer Science - Neural and Evolutionary Computing},
+ url = {https://arxiv.org/abs/2111.04077}
+}
+```
+
+
+ + +%package help +Summary: Development documents and examples for ioh +Provides: python3-ioh-doc +%description help +# IOHexperimenter
+
+
+
+
+
+**Experimenter** for **I**terative **O**ptimization **H**euristics (IOHs), built in* `C++`.
+
+* **Documentation**: [https://iohprofiler.github.io/IOHexperimenter](https://iohprofiler.github.io/IOHexperimenter).
+* **Publication**: [https://arxiv.org/abs/1810.05281](https://arxiv.org/abs/1810.05281).
+* **Wiki page**: [https://iohprofiler.github.io](https://iohprofiler.github.io/).
+
+**IOHexperimenter** *provides*:
+
+* A framework to ease the benchmarking of any iterative optimization heuristic.
+* [Pseudo-Boolean Optimization (PBO)](https://iohprofiler.github.io/IOHproblem/) problem set (25 pseudo-Boolean problems).
+* Integration of the well-known [Black-black Optimization Benchmarking (BBOB)](https://github.com/numbbo/coco) problem set (24 continuous problems).
+* [W-model](https://dl.acm.org/doi/abs/10.1145/3205651.3208240?casa_token=S4U_Pi9f6MwAAAAA:U9ztNTPwmupT8K3GamWZfBL7-8fqjxPtr_kprv51vdwA-REsp0EyOFGa99BtbANb0XbqyrVg795hIw) problem sets constructed on OneMax and LeadingOnes.
+* Integration of the [Tree Decomposition (TD) Mk Landscapes](https://github.com/tobiasvandriessel/problem-generator) problems.
+* Submodular optimization problems, as seen in the [GECCO '22 workshop](https://cs.adelaide.edu.au/~optlog/CompetitionESO2022.php).
+* Flexible interface for adding new suites and problems.
+* Advanced logging module that takes care of registering the data in a seamless manner.
+* Data format is compatible with [IOHanalyzer](https://github.com/IOHprofiler/IOHanalyzer).
+
+**Available Problem Suites:**
+
+* BBOB (Single Objective Noiseless) (COCO)
+* SBOX-COST (COCO)
+* StarDiscrepancy
+* PBO
+* Submodular Graph Problems
+
+## C++
+
+The complete API documentation, can be found [here](https://iohprofiler.github.io/IOHexperimenter/cpp), as well as a Getting-Started guide. In addition to the documentation, some example projects can be found in the [example](./example/) folder of this repository.
+
+## Python
+
+The pip-version of IOHexperimenters python interface is available via [pip](https://pypi.org/project/ioh). A tutorial with python in the form of a jupyter notebook can be found in the example folder of [this repository](./example/tutorial.ipynb).
+A Getting-Started guide and the full API documentation can be found [here](https://iohprofiler.github.io/IOHexperimenter/python).
+
+## Contact
+
+If you have any questions, comments or suggestions, please don't hesitate contacting us <IOHprofiler@liacs.leidenuniv.nl>.
+
+### Our team
+
+* [Jacob de Nobel](https://www.universiteitleiden.nl/en/staffmembers/jacob-de-nobel), *Leiden Institute of Advanced Computer Science*,
+* [Furong Ye](https://www.universiteitleiden.nl/en/staffmembers/furong-ye#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Diederick Vermetten](https://www.universiteitleiden.nl/en/staffmembers/diederick-vermetten#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Hao Wang](https://www.universiteitleiden.nl/en/staffmembers/hao-wang#tab-1), *Leiden Institute of Advanced Computer Science*,
+* [Carola Doerr](http://www-desir.lip6.fr/~doerr/), *CNRS and Sorbonne University*,
+* [Thomas Bäck](https://www.universiteitleiden.nl/en/staffmembers/thomas-back#tab-1), *Leiden Institute of Advanced Computer Science*,
+
+When using IOHprofiler and parts thereof, please kindly cite this work as
+
+Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr and Thomas Bäck,
+*IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics*, arXiv e-prints:2111.04077, 2021.
+
+```bibtex
+@ARTICLE{IOHexperimenter,
+ author = {Jacob de Nobel and
+ Furong Ye and
+ Diederick Vermetten and
+ Hao Wang and
+ Carola Doerr and
+ Thomas B{\"{a}}ck},
+ title = {{IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics}},
+ journal = {arXiv e-prints:2111.04077},
+ archivePrefix = "arXiv",
+ eprint = {2111.04077},
+ year = 2021,
+ month = Nov,
+ keywords = {Computer Science - Neural and Evolutionary Computing},
+ url = {https://arxiv.org/abs/2111.04077}
+}
+```
+
+
+ + +%prep +%autosetup -n ioh-0.3.9 + +%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-ioh -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.9-1 +- Package Spec generated @@ -0,0 +1 @@ +77af6a4bdd989bafbd289cfe57536b47 ioh-0.3.9.tar.gz |