automatic import of python-celerite2openeuler20.03

3 files changed, 183 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..cf834e2 100644
--- a/.gitignore
+++ b/.gitignore
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+/celerite2-0.2.1.tar.gz
diff --git a/python-celerite2.spec b/python-celerite2.spec
new file mode 100644
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+++ b/python-celerite2.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-celerite2
+Version:	0.2.1
+Release:	1
+Summary:	Fast and scalable Gaussian Processes in 1D
+License:	MIT
+URL:		https://celerite2.readthedocs.io
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/8c/1d/89293a96e3f99e6a30ce1405c4232200c1f9ba1a14253f91827a39b1a90a/celerite2-0.2.1.tar.gz
+
+Requires:	python3-numpy
+Requires:	python3-isort
+Requires:	python3-black
+Requires:	python3-black-nbconvert
+Requires:	python3-coverage[toml]
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-scipy
+Requires:	python3-celerite
+Requires:	python3-pep517
+Requires:	python3-twine
+Requires:	python3-pre-commit
+Requires:	python3-nbstripout
+Requires:	python3-flake8
+Requires:	python3-sphinx
+Requires:	python3-sphinx-material
+Requires:	python3-sphinx-copybutton
+Requires:	python3-rtds-action
+Requires:	python3-nbsphinx
+Requires:	python3-breathe
+Requires:	python3-ipython
+Requires:	python3-jax
+Requires:	python3-jaxlib
+Requires:	python3-pymc3
+Requires:	python3-aesara-theano-fallback
+Requires:	python3-pep517
+Requires:	python3-twine
+Requires:	python3-isort
+Requires:	python3-black
+Requires:	python3-black-nbconvert
+Requires:	python3-coverage[toml]
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-scipy
+Requires:	python3-celerite
+Requires:	python3-pymc3
+Requires:	python3-aesara-theano-fallback
+Requires:	python3-jupytext
+Requires:	python3-jupyter
+Requires:	python3-nbconvert
+Requires:	python3-matplotlib
+Requires:	python3-scipy
+Requires:	python3-emcee
+Requires:	python3-pymc3
+Requires:	python3-aesara-theano-fallback
+Requires:	python3-tqdm
+Requires:	python3-numpyro
+
+%description
+# celerite2
+
+_celerite_ is an algorithm for fast and scalable Gaussian Process (GP)
+Regression in one dimension and this library, _celerite2_ is a re-write of the
+original [celerite project](https://celerite.readthedocs.io) to improve
+numerical stability and integration with various machine learning frameworks.  Documentation
+for this version can be found [here](https://celerite2.readthedocs.io/en/latest/).
+This new implementation includes interfaces in Python and C++, with full support for
+Theano/PyMC3 and JAX.
+
+This documentation won't teach you the fundamentals of GP modeling but the best
+resource for learning about this is available for free online: [Rasmussen &
+Williams (2006)](http://www.gaussianprocess.org/gpml/). Similarly, the
+_celerite_ algorithm is restricted to a specific class of covariance functions
+(see [the original paper](https://arxiv.org/abs/1703.09710) for more information
+and [a recent generalization](https://arxiv.org/abs/2007.05799) for extensions
+to structured two-dimensional data). If you need scalable GPs with more general
+covariance functions, [GPyTorch](https://gpytorch.ai/) might be a good choice.
+
+
+
+
+%package -n python3-celerite2
+Summary:	Fast and scalable Gaussian Processes in 1D
+Provides:	python-celerite2
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-celerite2
+# celerite2
+
+_celerite_ is an algorithm for fast and scalable Gaussian Process (GP)
+Regression in one dimension and this library, _celerite2_ is a re-write of the
+original [celerite project](https://celerite.readthedocs.io) to improve
+numerical stability and integration with various machine learning frameworks.  Documentation
+for this version can be found [here](https://celerite2.readthedocs.io/en/latest/).
+This new implementation includes interfaces in Python and C++, with full support for
+Theano/PyMC3 and JAX.
+
+This documentation won't teach you the fundamentals of GP modeling but the best
+resource for learning about this is available for free online: [Rasmussen &
+Williams (2006)](http://www.gaussianprocess.org/gpml/). Similarly, the
+_celerite_ algorithm is restricted to a specific class of covariance functions
+(see [the original paper](https://arxiv.org/abs/1703.09710) for more information
+and [a recent generalization](https://arxiv.org/abs/2007.05799) for extensions
+to structured two-dimensional data). If you need scalable GPs with more general
+covariance functions, [GPyTorch](https://gpytorch.ai/) might be a good choice.
+
+
+
+
+%package help
+Summary:	Development documents and examples for celerite2
+Provides:	python3-celerite2-doc
+%description help
+# celerite2
+
+_celerite_ is an algorithm for fast and scalable Gaussian Process (GP)
+Regression in one dimension and this library, _celerite2_ is a re-write of the
+original [celerite project](https://celerite.readthedocs.io) to improve
+numerical stability and integration with various machine learning frameworks.  Documentation
+for this version can be found [here](https://celerite2.readthedocs.io/en/latest/).
+This new implementation includes interfaces in Python and C++, with full support for
+Theano/PyMC3 and JAX.
+
+This documentation won't teach you the fundamentals of GP modeling but the best
+resource for learning about this is available for free online: [Rasmussen &
+Williams (2006)](http://www.gaussianprocess.org/gpml/). Similarly, the
+_celerite_ algorithm is restricted to a specific class of covariance functions
+(see [the original paper](https://arxiv.org/abs/1703.09710) for more information
+and [a recent generalization](https://arxiv.org/abs/2007.05799) for extensions
+to structured two-dimensional data). If you need scalable GPs with more general
+covariance functions, [GPyTorch](https://gpytorch.ai/) might be a good choice.
+
+
+
+
+%prep
+%autosetup -n celerite2-0.2.1
+
+%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-celerite2 -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..5be6e2b
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+653a2d63cd88421f3a5b4cfcb242f534  celerite2-0.2.1.tar.gz