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diff --git a/python-theano-pymc.spec b/python-theano-pymc.spec new file mode 100644 index 0000000..a851712 --- /dev/null +++ b/python-theano-pymc.spec @@ -0,0 +1,111 @@ +%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 |