%global _empty_manifest_terminate_build 0 Name: python-pyfora Version: 0.5.10 Release: 1 Summary: A library for parallel execution of Python code in the Ufora runtime License: Apache URL: http://www.ufora.com/ Source0: https://mirrors.aliyun.com/pypi/web/packages/f6/c2/05ed3a730dcc4f815fba017c4d9158ec1e096e2432f1c431aabb0170446c/pyfora-0.5.10.tar.gz BuildArch: noarch %description pyfora is the client package for Ufora_ - a compiled, automatically parallel Python for data science and numerical computing. Ufora achieves speed and scale by reasoning about your python code to compile it to machine code (so it's fast) and find parallelism in it (so that it scales). The Ufora runtime is fully fault tolerant, and handles all the details of data management and task scheduling transparently to the user. The Ufora runtime is invoked by enclosing code in a "ufora.remote" block. Code and objects are shipped to a Ufora cluster and executed in parallel across those machines. Results are then injected back into the host python environment either as native python objects, or as handles (in case the objects are very large). This allows you to pick the subset of your code that will benefit from running in Ufora - the remainder can run in your regular python environment. For all of this to work properly, Ufora places one major restriction on the code that it runs: it must be "pure", meaning that it cannot modify data structures or have side effects. This restriction allows the Ufora runtime to agressively reorder calculations, which is crucial for parallelism, and allows it to perform compile-time optimizations than would not be possible otherwise. For more on the subset of python that Ufora supports, see `python restrictions`_. %package -n python3-pyfora Summary: A library for parallel execution of Python code in the Ufora runtime Provides: python-pyfora BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pyfora pyfora is the client package for Ufora_ - a compiled, automatically parallel Python for data science and numerical computing. Ufora achieves speed and scale by reasoning about your python code to compile it to machine code (so it's fast) and find parallelism in it (so that it scales). The Ufora runtime is fully fault tolerant, and handles all the details of data management and task scheduling transparently to the user. The Ufora runtime is invoked by enclosing code in a "ufora.remote" block. Code and objects are shipped to a Ufora cluster and executed in parallel across those machines. Results are then injected back into the host python environment either as native python objects, or as handles (in case the objects are very large). This allows you to pick the subset of your code that will benefit from running in Ufora - the remainder can run in your regular python environment. For all of this to work properly, Ufora places one major restriction on the code that it runs: it must be "pure", meaning that it cannot modify data structures or have side effects. This restriction allows the Ufora runtime to agressively reorder calculations, which is crucial for parallelism, and allows it to perform compile-time optimizations than would not be possible otherwise. For more on the subset of python that Ufora supports, see `python restrictions`_. %package help Summary: Development documents and examples for pyfora Provides: python3-pyfora-doc %description help pyfora is the client package for Ufora_ - a compiled, automatically parallel Python for data science and numerical computing. Ufora achieves speed and scale by reasoning about your python code to compile it to machine code (so it's fast) and find parallelism in it (so that it scales). The Ufora runtime is fully fault tolerant, and handles all the details of data management and task scheduling transparently to the user. The Ufora runtime is invoked by enclosing code in a "ufora.remote" block. Code and objects are shipped to a Ufora cluster and executed in parallel across those machines. Results are then injected back into the host python environment either as native python objects, or as handles (in case the objects are very large). This allows you to pick the subset of your code that will benefit from running in Ufora - the remainder can run in your regular python environment. For all of this to work properly, Ufora places one major restriction on the code that it runs: it must be "pure", meaning that it cannot modify data structures or have side effects. This restriction allows the Ufora runtime to agressively reorder calculations, which is crucial for parallelism, and allows it to perform compile-time optimizations than would not be possible otherwise. For more on the subset of python that Ufora supports, see `python restrictions`_. %prep %autosetup -n pyfora-0.5.10 %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-pyfora -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 0.5.10-1 - Package Spec generated