%global _empty_manifest_terminate_build 0 Name: python-prefetch-generator Version: 1.0.3 Release: 1 Summary: a simple tool to compute arbitrary generator in a background thread License: The Unlicense URL: https://github.com/justheuristic/prefetch_generator Source0: https://mirrors.nju.edu.cn/pypi/web/packages/28/cf/f6c148289fd87832e9f20428b7e842921efac5313cb3ac5920a424543760/prefetch_generator-1.0.3.tar.gz BuildArch: noarch %description Based on http://stackoverflow.com/questions/7323664/python-generator-pre-fetch This is a single-function package that makes it possible to transform any generator into a `BackgroundGenerator` which computes any number of elements from the generator ahead, in a background thread. It is quite lightweight, but not entirely weightless. The `BackgroundGenerator` is most useful when you have a GIL releasing task which might take a long time to complete (e.g. Disk I/O, Web Requests, pure C functions, GPU processing, ...), and another task which takes a similar amount of time, but is dependent on the results of the first task (e.g. Computationally intensive processing of data loaded from disk). Normally these two tasks will constantly wait for one another to finish. If you make one of these tasks a `BackgroundGenerator` (see examples below), they will work in parallel, potentially saving up to 50% of execution time (definitely less in practice). We personally use the `BackgroundGenerator` when iterating over minibatches of data for deep learning with tensorflow and theano ( lasagne, blocks, raw, etc.). Quick usage example (ipython notebook) - https://github.com/justheuristic/prefetch_generator/blob/master/example.ipynb This package contains two objects: - The Class `BackgroundGenerator(generator [,max_prefetch=1])` - The decorator `@prefetch([max_prefetch=1])` the usage is either #for item in BackgroundGenerator(my_generator): # do_stuff(item) or #@prefetch() #def my_generator(some_param): # while True: # X = read_heavy_file() # y = wget_from_cornhub() # do_pretty_much_anything(some_param) # yield X, y More details are written in the `BackgroundGenerator` doc: See `help(BackgroundGenerator)` %package -n python3-prefetch-generator Summary: a simple tool to compute arbitrary generator in a background thread Provides: python-prefetch-generator BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-prefetch-generator Based on http://stackoverflow.com/questions/7323664/python-generator-pre-fetch This is a single-function package that makes it possible to transform any generator into a `BackgroundGenerator` which computes any number of elements from the generator ahead, in a background thread. It is quite lightweight, but not entirely weightless. The `BackgroundGenerator` is most useful when you have a GIL releasing task which might take a long time to complete (e.g. Disk I/O, Web Requests, pure C functions, GPU processing, ...), and another task which takes a similar amount of time, but is dependent on the results of the first task (e.g. Computationally intensive processing of data loaded from disk). Normally these two tasks will constantly wait for one another to finish. If you make one of these tasks a `BackgroundGenerator` (see examples below), they will work in parallel, potentially saving up to 50% of execution time (definitely less in practice). We personally use the `BackgroundGenerator` when iterating over minibatches of data for deep learning with tensorflow and theano ( lasagne, blocks, raw, etc.). Quick usage example (ipython notebook) - https://github.com/justheuristic/prefetch_generator/blob/master/example.ipynb This package contains two objects: - The Class `BackgroundGenerator(generator [,max_prefetch=1])` - The decorator `@prefetch([max_prefetch=1])` the usage is either #for item in BackgroundGenerator(my_generator): # do_stuff(item) or #@prefetch() #def my_generator(some_param): # while True: # X = read_heavy_file() # y = wget_from_cornhub() # do_pretty_much_anything(some_param) # yield X, y More details are written in the `BackgroundGenerator` doc: See `help(BackgroundGenerator)` %package help Summary: Development documents and examples for prefetch-generator Provides: python3-prefetch-generator-doc %description help Based on http://stackoverflow.com/questions/7323664/python-generator-pre-fetch This is a single-function package that makes it possible to transform any generator into a `BackgroundGenerator` which computes any number of elements from the generator ahead, in a background thread. It is quite lightweight, but not entirely weightless. The `BackgroundGenerator` is most useful when you have a GIL releasing task which might take a long time to complete (e.g. Disk I/O, Web Requests, pure C functions, GPU processing, ...), and another task which takes a similar amount of time, but is dependent on the results of the first task (e.g. Computationally intensive processing of data loaded from disk). Normally these two tasks will constantly wait for one another to finish. If you make one of these tasks a `BackgroundGenerator` (see examples below), they will work in parallel, potentially saving up to 50% of execution time (definitely less in practice). We personally use the `BackgroundGenerator` when iterating over minibatches of data for deep learning with tensorflow and theano ( lasagne, blocks, raw, etc.). Quick usage example (ipython notebook) - https://github.com/justheuristic/prefetch_generator/blob/master/example.ipynb This package contains two objects: - The Class `BackgroundGenerator(generator [,max_prefetch=1])` - The decorator `@prefetch([max_prefetch=1])` the usage is either #for item in BackgroundGenerator(my_generator): # do_stuff(item) or #@prefetch() #def my_generator(some_param): # while True: # X = read_heavy_file() # y = wget_from_cornhub() # do_pretty_much_anything(some_param) # yield X, y More details are written in the `BackgroundGenerator` doc: See `help(BackgroundGenerator)` %prep %autosetup -n prefetch-generator-1.0.3 %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-prefetch-generator -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Sun Apr 23 2023 Python_Bot - 1.0.3-1 - Package Spec generated