automatic import of python-pymc

3 files changed, 125 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..ed7186d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/pymc-5.2.0.tar.gz
diff --git a/python-pymc.spec b/python-pymc.spec
new file mode 100644
index 0000000..d2c8689
--- /dev/null
+++ b/python-pymc.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pymc
+Version:	5.2.0
+Release:	1
+Summary:	Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor
+License:	Apache License, Version 2.0
+URL:		http://github.com/pymc-devs/pymc
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3c/8c/095db1efbb613d40183cf5df353d0e356f40f14980d308d878217e053e25/pymc-5.2.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-arviz
+Requires:	python3-cachetools
+Requires:	python3-cloudpickle
+Requires:	python3-fastprogress
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-pytensor
+Requires:	python3-scipy
+Requires:	python3-typing-extensions
+
+%description
+-  Intuitive model specification syntax, for example, ``x ~ N(0,1)``
+   translates to ``x = Normal('x',0,1)``
+-  **Powerful sampling algorithms**, such as the `No U-Turn
+   Sampler <http://www.jmlr.org/papers/v15/hoffman14a.html>`__, allow complex models
+   with thousands of parameters with little specialized knowledge of
+   fitting algorithms.
+-  **Variational inference**: `ADVI <http://www.jmlr.org/papers/v18/16-107.html>`__
+   for fast approximate posterior estimation as well as mini-batch ADVI
+   for large data sets.
+-  Relies on `PyTensor <https://pytensor.readthedocs.io/en/latest/>`__ which provides:
+    *  Computation optimization and dynamic C or JAX compilation
+    *  NumPy broadcasting and advanced indexing
+    *  Linear algebra operators
+    *  Simple extensibility
+-  Transparent support for missing value imputation
+
+%package -n python3-pymc
+Summary:	Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor
+Provides:	python-pymc
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pymc
+-  Intuitive model specification syntax, for example, ``x ~ N(0,1)``
+   translates to ``x = Normal('x',0,1)``
+-  **Powerful sampling algorithms**, such as the `No U-Turn
+   Sampler <http://www.jmlr.org/papers/v15/hoffman14a.html>`__, allow complex models
+   with thousands of parameters with little specialized knowledge of
+   fitting algorithms.
+-  **Variational inference**: `ADVI <http://www.jmlr.org/papers/v18/16-107.html>`__
+   for fast approximate posterior estimation as well as mini-batch ADVI
+   for large data sets.
+-  Relies on `PyTensor <https://pytensor.readthedocs.io/en/latest/>`__ which provides:
+    *  Computation optimization and dynamic C or JAX compilation
+    *  NumPy broadcasting and advanced indexing
+    *  Linear algebra operators
+    *  Simple extensibility
+-  Transparent support for missing value imputation
+
+%package help
+Summary:	Development documents and examples for pymc
+Provides:	python3-pymc-doc
+%description help
+-  Intuitive model specification syntax, for example, ``x ~ N(0,1)``
+   translates to ``x = Normal('x',0,1)``
+-  **Powerful sampling algorithms**, such as the `No U-Turn
+   Sampler <http://www.jmlr.org/papers/v15/hoffman14a.html>`__, allow complex models
+   with thousands of parameters with little specialized knowledge of
+   fitting algorithms.
+-  **Variational inference**: `ADVI <http://www.jmlr.org/papers/v18/16-107.html>`__
+   for fast approximate posterior estimation as well as mini-batch ADVI
+   for large data sets.
+-  Relies on `PyTensor <https://pytensor.readthedocs.io/en/latest/>`__ which provides:
+    *  Computation optimization and dynamic C or JAX compilation
+    *  NumPy broadcasting and advanced indexing
+    *  Linear algebra operators
+    *  Simple extensibility
+-  Transparent support for missing value imputation
+
+%prep
+%autosetup -n pymc-5.2.0
+
+%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-pymc -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 5.2.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..286dd09
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+fdff290a19b6f30459ea0f3dc32ed32e  pymc-5.2.0.tar.gz