automatic import of python-pycuda

3 files changed, 143 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/pycuda-2022.2.2.tar.gz
diff --git a/python-pycuda.spec b/python-pycuda.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pycuda
+Version:	2022.2.2
+Release:	1
+Summary:	Python wrapper for Nvidia CUDA
+License:	MIT
+URL:		http://mathema.tician.de/software/pycuda
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/78/09/9df5358ffb74d225243b56a65ffe196de481fcd8f731f55e41f2d5d36015/pycuda-2022.2.2.tar.gz
+BuildArch:	noarch
+
+
+%description
+PyCUDA lets you access `Nvidia <https://nvidia.com>`_'s `CUDA
+<https://nvidia.com/cuda/>`_ parallel computation API from Python.
+Several wrappers of the CUDA API already exist-so what's so special
+about PyCUDA?
+* Object cleanup tied to lifetime of objects. This idiom, often
+  called
+  `RAII <https://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
+  in C++, makes it much easier to write correct, leak- and
+  crash-free code. PyCUDA knows about dependencies, too, so (for
+  example) it won't detach from a context before all memory
+  allocated in it is also freed.
+* Convenience. Abstractions like pycuda.driver.SourceModule and
+  pycuda.gpuarray.GPUArray make CUDA programming even more
+  convenient than with Nvidia's C-based runtime.
+* Completeness. PyCUDA puts the full power of CUDA's driver API at
+  your disposal, if you wish. It also includes code for
+  interoperability with OpenGL.
+* Automatic Error Checking. All CUDA errors are automatically
+  translated into Python exceptions.
+* Speed. PyCUDA's base layer is written in C++, so all the niceties
+  above are virtually free.
+* Helpful `Documentation <https://documen.tician.de/pycuda>`_.
+Relatedly, like-minded computing goodness for `OpenCL <https://www.khronos.org/registry/OpenCL/>`_
+is provided by PyCUDA's sister project `PyOpenCL <https://pypi.org/project/pyopencl>`_.
+
+%package -n python3-pycuda
+Summary:	Python wrapper for Nvidia CUDA
+Provides:	python-pycuda
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pycuda
+PyCUDA lets you access `Nvidia <https://nvidia.com>`_'s `CUDA
+<https://nvidia.com/cuda/>`_ parallel computation API from Python.
+Several wrappers of the CUDA API already exist-so what's so special
+about PyCUDA?
+* Object cleanup tied to lifetime of objects. This idiom, often
+  called
+  `RAII <https://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
+  in C++, makes it much easier to write correct, leak- and
+  crash-free code. PyCUDA knows about dependencies, too, so (for
+  example) it won't detach from a context before all memory
+  allocated in it is also freed.
+* Convenience. Abstractions like pycuda.driver.SourceModule and
+  pycuda.gpuarray.GPUArray make CUDA programming even more
+  convenient than with Nvidia's C-based runtime.
+* Completeness. PyCUDA puts the full power of CUDA's driver API at
+  your disposal, if you wish. It also includes code for
+  interoperability with OpenGL.
+* Automatic Error Checking. All CUDA errors are automatically
+  translated into Python exceptions.
+* Speed. PyCUDA's base layer is written in C++, so all the niceties
+  above are virtually free.
+* Helpful `Documentation <https://documen.tician.de/pycuda>`_.
+Relatedly, like-minded computing goodness for `OpenCL <https://www.khronos.org/registry/OpenCL/>`_
+is provided by PyCUDA's sister project `PyOpenCL <https://pypi.org/project/pyopencl>`_.
+
+%package help
+Summary:	Development documents and examples for pycuda
+Provides:	python3-pycuda-doc
+%description help
+PyCUDA lets you access `Nvidia <https://nvidia.com>`_'s `CUDA
+<https://nvidia.com/cuda/>`_ parallel computation API from Python.
+Several wrappers of the CUDA API already exist-so what's so special
+about PyCUDA?
+* Object cleanup tied to lifetime of objects. This idiom, often
+  called
+  `RAII <https://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
+  in C++, makes it much easier to write correct, leak- and
+  crash-free code. PyCUDA knows about dependencies, too, so (for
+  example) it won't detach from a context before all memory
+  allocated in it is also freed.
+* Convenience. Abstractions like pycuda.driver.SourceModule and
+  pycuda.gpuarray.GPUArray make CUDA programming even more
+  convenient than with Nvidia's C-based runtime.
+* Completeness. PyCUDA puts the full power of CUDA's driver API at
+  your disposal, if you wish. It also includes code for
+  interoperability with OpenGL.
+* Automatic Error Checking. All CUDA errors are automatically
+  translated into Python exceptions.
+* Speed. PyCUDA's base layer is written in C++, so all the niceties
+  above are virtually free.
+* Helpful `Documentation <https://documen.tician.de/pycuda>`_.
+Relatedly, like-minded computing goodness for `OpenCL <https://www.khronos.org/registry/OpenCL/>`_
+is provided by PyCUDA's sister project `PyOpenCL <https://pypi.org/project/pyopencl>`_.
+
+%prep
+%autosetup -n pycuda-2022.2.2
+
+%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-pycuda -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2022.2.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..c2512f2
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+df753e579ce0f3c67612b2cc65f467ab  pycuda-2022.2.2.tar.gz