%global _empty_manifest_terminate_build 0 Name: python-rtxpy Version: 0.0.3 Release: 1 Summary: Ray tracing using CUDA accessible from Python License: MIT URL: https://github.com/makepath/rtxpy Source0: https://mirrors.nju.edu.cn/pypi/web/packages/76/e5/18beafad39bacf07e88303502fca6affa9888701f7351898f55f01011c0b/rtxpy-0.0.3.tar.gz Requires: python3-numpy Requires: python3-pytest %description # RTXpy Ray tracing using CUDA, accessible from Python. ## Hardware requirements * Nvidia Maxwell GPU or newer * Nvidia driver version: * 456.71 or newer for Windows * 455.28 or newer for Linux ## Installation pip install rtxpy ## Installation from source Requires CMake 3.10 or higher to build. To install RTXpy from source use pip install -ve . `cupy` is an optional runtime dependency. If you know the version of the CUDA toolkit you have installed, which can be obtained by running `nvcc --version`, you can install the appropriate `cupy` wheel. For example, for CUDA toolkit 11.2 use pip install cupy-cuda112 To run tests pip install -ve .[tests] pytest -v rtxpy/tests %package -n python3-rtxpy Summary: Ray tracing using CUDA accessible from Python Provides: python-rtxpy BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip BuildRequires: python3-cffi BuildRequires: gcc BuildRequires: gdb %description -n python3-rtxpy # RTXpy Ray tracing using CUDA, accessible from Python. ## Hardware requirements * Nvidia Maxwell GPU or newer * Nvidia driver version: * 456.71 or newer for Windows * 455.28 or newer for Linux ## Installation pip install rtxpy ## Installation from source Requires CMake 3.10 or higher to build. To install RTXpy from source use pip install -ve . `cupy` is an optional runtime dependency. If you know the version of the CUDA toolkit you have installed, which can be obtained by running `nvcc --version`, you can install the appropriate `cupy` wheel. For example, for CUDA toolkit 11.2 use pip install cupy-cuda112 To run tests pip install -ve .[tests] pytest -v rtxpy/tests %package help Summary: Development documents and examples for rtxpy Provides: python3-rtxpy-doc %description help # RTXpy Ray tracing using CUDA, accessible from Python. ## Hardware requirements * Nvidia Maxwell GPU or newer * Nvidia driver version: * 456.71 or newer for Windows * 455.28 or newer for Linux ## Installation pip install rtxpy ## Installation from source Requires CMake 3.10 or higher to build. To install RTXpy from source use pip install -ve . `cupy` is an optional runtime dependency. If you know the version of the CUDA toolkit you have installed, which can be obtained by running `nvcc --version`, you can install the appropriate `cupy` wheel. For example, for CUDA toolkit 11.2 use pip install cupy-cuda112 To run tests pip install -ve .[tests] pytest -v rtxpy/tests %prep %autosetup -n rtxpy-0.0.3 %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-rtxpy -f filelist.lst %dir %{python3_sitearch}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue May 30 2023 Python_Bot - 0.0.3-1 - Package Spec generated