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diff --git a/python-hgdl.spec b/python-hgdl.spec new file mode 100644 index 0000000..1b136d8 --- /dev/null +++ b/python-hgdl.spec @@ -0,0 +1,253 @@ +%global _empty_manifest_terminate_build 0 +Name: python-hgdl +Version: 2.1.0 +Release: 1 +Summary: HGDL Optimization +License: BSD3 +URL: https://github.com//hgdl +Source0: https://mirrors.aliyun.com/pypi/web/packages/8d/0d/05bd9bc1bae3bf29ebe59730b9eaf89665e4f81f7c6b850f1ff9985f8eae/hgdl-2.1.0.tar.gz +BuildArch: noarch + +Requires: python3-wheel +Requires: python3-versioneer +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-matplotlib +Requires: python3-plotly +Requires: python3-nbformat +Requires: python3-dask +Requires: python3-distributed +Requires: python3-bokeh +Requires: python3-paramiko +Requires: python3-loguru +Requires: python3-sphinx +Requires: python3-sphinx-rtd-theme +Requires: python3-myst-parser +Requires: python3-myst-nb +Requires: python3-sphinx-panels +Requires: python3-autodocs +Requires: python3-jupytext +Requires: python3-pytest +Requires: python3-codecov +Requires: python3-pytest-cov + +%description +# HGDL + +[](https://pypi.org/project/hgdl/) +[](https://gpcam.readthedocs.io/en/latest/?badge=latest) +[](https://github.com/lbl-camera/fvGP/actions/workflows/HGDL-CI.yml) +[](https://app.codecov.io/gh/lbl-camera/HGDL) +[](https://pypi.org/project/hgdl/) +[<img src="https://img.shields.io/badge/slack-@gpCAM-purple.svg?logo=slack">](https://gpCAM.slack.com/) +[](https://zenodo.org/badge/latestdoi/434769975) + + +HGDL is an API for HPC distributed constrained function optimization. +At the core, the algorithm uses local and global optimization +and bump-function-based deflation to provide a growing list of unique optima of a differentiable function. +This tackles the common problem of non-uniquness of optimization problems, especially in machine learning. + +## Usage + +The following demonstrates a simple usage of the HGDL API. + +```python +import numpy as np +from hgdl.hgdl import HGDL as hgdl +from hgdl.support_functions import * +import dask.distributed as distributed + +bounds = np.array([[-500,500],[-500,500]]) +#dask_client = distributed.Client("10.0.0.184:8786") +a = hgdl(schwefel, schwefel_gradient, bounds, + global_optimizer = "genetic", + local_optimizer = "dNewton", #put in local optimzers from scipy.optimize.minimize + number_of_optima = 30000, + num_epochs = 100) + +x0 = np.random.uniform(low = bounds[:, 0], high = bounds[:,1],size = (20,2)) +a.optimize(x0 = x0) + +###the thread is now released, but the work continues in the background + +a.get_latest() ##prints the current result whenever queried + +a.kill_client() ##stops the execution and returns the result +``` + + +## Credits + +Main Developers: Marcus Noack ([MarcusNoack@lbl.gov](mailto:MarcusNoack@lbl.gov)) and David Perryman. +Several people from across the DOE national labs have given insights +that led to the code in its current form. +See [AUTHORS](AUTHORS.rst) for more details on that. +HGDL is based on the [HGDN](https://www.sciencedirect.com/science/article/pii/S037704271730225X) algorithm by Noack and Funke. + + + +%package -n python3-hgdl +Summary: HGDL Optimization +Provides: python-hgdl +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-hgdl +# HGDL + +[](https://pypi.org/project/hgdl/) +[](https://gpcam.readthedocs.io/en/latest/?badge=latest) +[](https://github.com/lbl-camera/fvGP/actions/workflows/HGDL-CI.yml) +[](https://app.codecov.io/gh/lbl-camera/HGDL) +[](https://pypi.org/project/hgdl/) +[<img src="https://img.shields.io/badge/slack-@gpCAM-purple.svg?logo=slack">](https://gpCAM.slack.com/) +[](https://zenodo.org/badge/latestdoi/434769975) + + +HGDL is an API for HPC distributed constrained function optimization. +At the core, the algorithm uses local and global optimization +and bump-function-based deflation to provide a growing list of unique optima of a differentiable function. +This tackles the common problem of non-uniquness of optimization problems, especially in machine learning. + +## Usage + +The following demonstrates a simple usage of the HGDL API. + +```python +import numpy as np +from hgdl.hgdl import HGDL as hgdl +from hgdl.support_functions import * +import dask.distributed as distributed + +bounds = np.array([[-500,500],[-500,500]]) +#dask_client = distributed.Client("10.0.0.184:8786") +a = hgdl(schwefel, schwefel_gradient, bounds, + global_optimizer = "genetic", + local_optimizer = "dNewton", #put in local optimzers from scipy.optimize.minimize + number_of_optima = 30000, + num_epochs = 100) + +x0 = np.random.uniform(low = bounds[:, 0], high = bounds[:,1],size = (20,2)) +a.optimize(x0 = x0) + +###the thread is now released, but the work continues in the background + +a.get_latest() ##prints the current result whenever queried + +a.kill_client() ##stops the execution and returns the result +``` + + +## Credits + +Main Developers: Marcus Noack ([MarcusNoack@lbl.gov](mailto:MarcusNoack@lbl.gov)) and David Perryman. +Several people from across the DOE national labs have given insights +that led to the code in its current form. +See [AUTHORS](AUTHORS.rst) for more details on that. +HGDL is based on the [HGDN](https://www.sciencedirect.com/science/article/pii/S037704271730225X) algorithm by Noack and Funke. + + + +%package help +Summary: Development documents and examples for hgdl +Provides: python3-hgdl-doc +%description help +# HGDL + +[](https://pypi.org/project/hgdl/) +[](https://gpcam.readthedocs.io/en/latest/?badge=latest) +[](https://github.com/lbl-camera/fvGP/actions/workflows/HGDL-CI.yml) +[](https://app.codecov.io/gh/lbl-camera/HGDL) +[](https://pypi.org/project/hgdl/) +[<img src="https://img.shields.io/badge/slack-@gpCAM-purple.svg?logo=slack">](https://gpCAM.slack.com/) +[](https://zenodo.org/badge/latestdoi/434769975) + + +HGDL is an API for HPC distributed constrained function optimization. +At the core, the algorithm uses local and global optimization +and bump-function-based deflation to provide a growing list of unique optima of a differentiable function. +This tackles the common problem of non-uniquness of optimization problems, especially in machine learning. + +## Usage + +The following demonstrates a simple usage of the HGDL API. + +```python +import numpy as np +from hgdl.hgdl import HGDL as hgdl +from hgdl.support_functions import * +import dask.distributed as distributed + +bounds = np.array([[-500,500],[-500,500]]) +#dask_client = distributed.Client("10.0.0.184:8786") +a = hgdl(schwefel, schwefel_gradient, bounds, + global_optimizer = "genetic", + local_optimizer = "dNewton", #put in local optimzers from scipy.optimize.minimize + number_of_optima = 30000, + num_epochs = 100) + +x0 = np.random.uniform(low = bounds[:, 0], high = bounds[:,1],size = (20,2)) +a.optimize(x0 = x0) + +###the thread is now released, but the work continues in the background + +a.get_latest() ##prints the current result whenever queried + +a.kill_client() ##stops the execution and returns the result +``` + + +## Credits + +Main Developers: Marcus Noack ([MarcusNoack@lbl.gov](mailto:MarcusNoack@lbl.gov)) and David Perryman. +Several people from across the DOE national labs have given insights +that led to the code in its current form. +See [AUTHORS](AUTHORS.rst) for more details on that. +HGDL is based on the [HGDN](https://www.sciencedirect.com/science/article/pii/S037704271730225X) algorithm by Noack and Funke. + + + +%prep +%autosetup -n hgdl-2.1.0 + +%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-hgdl -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.1.0-1 +- Package Spec generated |