%global _empty_manifest_terminate_build 0
Name:		python-Theano-PyMC
Version:	1.1.2
Release:	1
Summary:	Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.
License:	BSD
URL:		http://deeplearning.net/software/theano/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/01/26/ee0f0a4c2d18d6a7058c71e3cfed21b31a209979e7d8191dbc990c542a61/Theano-PyMC-1.1.2.tar.gz
BuildArch:	noarch


%description
Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy_. Theano features:

 * **tight integration with NumPy:** a similar interface to NumPy's. numpy.ndarrays are also used internally in Theano-compiled functions.
 * **transparent use of a GPU:** perform data-intensive computations up to 140x faster than on a CPU (support for float32 only).
 * **efficient symbolic differentiation:** Theano can compute derivatives for functions of one or many inputs.
 * **speed and stability optimizations:** avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.
 * **dynamic C code generation:** evaluate expressions faster.
 * **extensive unit-testing and self-verification:** includes tools for detecting and diagnosing bugs and/or potential problems.

Theano has been powering large-scale computationally intensive scientific
research since 2007, but it is also approachable enough to be used in the
classroom (IFT6266 at the University of Montreal).

.. _NumPy: http://numpy.scipy.org/

%package -n python3-Theano-PyMC
Summary:	Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.
Provides:	python-Theano-PyMC
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-Theano-PyMC
Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy_. Theano features:

 * **tight integration with NumPy:** a similar interface to NumPy's. numpy.ndarrays are also used internally in Theano-compiled functions.
 * **transparent use of a GPU:** perform data-intensive computations up to 140x faster than on a CPU (support for float32 only).
 * **efficient symbolic differentiation:** Theano can compute derivatives for functions of one or many inputs.
 * **speed and stability optimizations:** avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.
 * **dynamic C code generation:** evaluate expressions faster.
 * **extensive unit-testing and self-verification:** includes tools for detecting and diagnosing bugs and/or potential problems.

Theano has been powering large-scale computationally intensive scientific
research since 2007, but it is also approachable enough to be used in the
classroom (IFT6266 at the University of Montreal).

.. _NumPy: http://numpy.scipy.org/

%package help
Summary:	Development documents and examples for Theano-PyMC
Provides:	python3-Theano-PyMC-doc
%description help
Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy_. Theano features:

 * **tight integration with NumPy:** a similar interface to NumPy's. numpy.ndarrays are also used internally in Theano-compiled functions.
 * **transparent use of a GPU:** perform data-intensive computations up to 140x faster than on a CPU (support for float32 only).
 * **efficient symbolic differentiation:** Theano can compute derivatives for functions of one or many inputs.
 * **speed and stability optimizations:** avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.
 * **dynamic C code generation:** evaluate expressions faster.
 * **extensive unit-testing and self-verification:** includes tools for detecting and diagnosing bugs and/or potential problems.

Theano has been powering large-scale computationally intensive scientific
research since 2007, but it is also approachable enough to be used in the
classroom (IFT6266 at the University of Montreal).

.. _NumPy: http://numpy.scipy.org/

%prep
%autosetup -n Theano-PyMC-1.1.2

%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-Theano-PyMC -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.2-1
- Package Spec generated