summaryrefslogtreecommitdiff
path: root/python-pysot.spec
diff options
context:
space:
mode:
Diffstat (limited to 'python-pysot.spec')
-rw-r--r--python-pysot.spec114
1 files changed, 114 insertions, 0 deletions
diff --git a/python-pysot.spec b/python-pysot.spec
new file mode 100644
index 0000000..5c8330c
--- /dev/null
+++ b/python-pysot.spec
@@ -0,0 +1,114 @@
+%global _empty_manifest_terminate_build 0
+Name: python-pySOT
+Version: 0.3.3
+Release: 1
+Summary: Surrogate Optimization Toolbox
+License: LICENSE.rst
+URL: https://github.com/dme65/pySOT
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c8/38/9f980e8d985151b59b0d2f38b24ab42407623657e98bbda686d1a9be8ed0/pySOT-0.3.3.tar.gz
+BuildArch: noarch
+
+Requires: python3-scipy
+Requires: python3-pyDOE2
+Requires: python3-POAP
+Requires: python3-pytest
+Requires: python3-dill
+Requires: python3-scikit-learn
+
+%description
+The Python Surrogate Optimization Toolbox (pySOT) is an asynchronous parallel
+optimization toolbox for computationally expensive global optimization problems.
+pySOT is built on top of the Plumbing for Optimization with Asynchronous Parallelism (POAP),
+which is an event-driven framework for building and combining asynchronous optimization
+strategies. POAP has support for both threads and MPI.
+pySOT implements many popular surrogate optimization algorithms such as the
+Stochastic RBF (SRBF) and DYCORS methods by Regis and Shoemaker, and the SOP
+method by Krityakierne et. al. We also support Expected Improvement (EI) and
+Lower Confidence Bounds (LCB), which are popular in Bayesian optimization. All
+optimization algorithms can be used in serial, synchronous parallel, and
+asynchronous parallel and we support both continuous and integer variables.
+The toolbox is hosted on GitHub: https://github.com/dme65/pySOT
+Documentation: http://pysot.readthedocs.io/
+
+%package -n python3-pySOT
+Summary: Surrogate Optimization Toolbox
+Provides: python-pySOT
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-pySOT
+The Python Surrogate Optimization Toolbox (pySOT) is an asynchronous parallel
+optimization toolbox for computationally expensive global optimization problems.
+pySOT is built on top of the Plumbing for Optimization with Asynchronous Parallelism (POAP),
+which is an event-driven framework for building and combining asynchronous optimization
+strategies. POAP has support for both threads and MPI.
+pySOT implements many popular surrogate optimization algorithms such as the
+Stochastic RBF (SRBF) and DYCORS methods by Regis and Shoemaker, and the SOP
+method by Krityakierne et. al. We also support Expected Improvement (EI) and
+Lower Confidence Bounds (LCB), which are popular in Bayesian optimization. All
+optimization algorithms can be used in serial, synchronous parallel, and
+asynchronous parallel and we support both continuous and integer variables.
+The toolbox is hosted on GitHub: https://github.com/dme65/pySOT
+Documentation: http://pysot.readthedocs.io/
+
+%package help
+Summary: Development documents and examples for pySOT
+Provides: python3-pySOT-doc
+%description help
+The Python Surrogate Optimization Toolbox (pySOT) is an asynchronous parallel
+optimization toolbox for computationally expensive global optimization problems.
+pySOT is built on top of the Plumbing for Optimization with Asynchronous Parallelism (POAP),
+which is an event-driven framework for building and combining asynchronous optimization
+strategies. POAP has support for both threads and MPI.
+pySOT implements many popular surrogate optimization algorithms such as the
+Stochastic RBF (SRBF) and DYCORS methods by Regis and Shoemaker, and the SOP
+method by Krityakierne et. al. We also support Expected Improvement (EI) and
+Lower Confidence Bounds (LCB), which are popular in Bayesian optimization. All
+optimization algorithms can be used in serial, synchronous parallel, and
+asynchronous parallel and we support both continuous and integer variables.
+The toolbox is hosted on GitHub: https://github.com/dme65/pySOT
+Documentation: http://pysot.readthedocs.io/
+
+%prep
+%autosetup -n pySOT-0.3.3
+
+%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-pySOT -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.3-1
+- Package Spec generated