%global _empty_manifest_terminate_build 0 Name: python-thread6 Version: 0.2.0 Release: 1 Summary: A plug n play multithreading interface License: MIT License URL: https://github.com/Haizzz/thread6 Source0: https://mirrors.nju.edu.cn/pypi/web/packages/39/f2/cd7b53367c00a0e4a37c53c5b18007a50fb66f19331699c894c918230b8b/thread6-0.2.0.tar.gz BuildArch: noarch %description # thread6 Simple parallel processing interface for python ## Why? Python's built in parallel processing and threading library is pretty simple to implement but sometimes you just want to chuck data at a function and make it run faster ## Requirements Python 3+ ## Installation ## Quickstart Use the `threaded` decorator to turn a method into a threaded method. That's it! ```python @thread6.threaded() def threaded_print(): print("") return 1 ``` Alternatively, use `run_threaded` function ```python thread6.run_threaded(threaded_print) ``` Both the `threaded` decorator and `run_threaded` method will return an instance of `ResultThread`. This allow you to optionally wait for the function to finish executing and get the return value. To get the return value, use `.await_output()` ```python result = threaded_print() result.await_output() # this will return 1 ``` If you have a function that needs to execute on a large list of data, use `run_chunked` ```python def update_items(items): ... items = [...] thread6.run_chunked(update_items, items) ``` `.await_output()` also work with `run_chunked` but will return a list of return values instead ## Usage ## Todo - [x] threaded function decorator - [x] run something in a separate thread function - [x] split data into chunk and run in separate threads - [ ] add way for errors to fail loudly - [ ] auto spawn to run fx on a set of data - [ ] explore multi processing? %package -n python3-thread6 Summary: A plug n play multithreading interface Provides: python-thread6 BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-thread6 # thread6 Simple parallel processing interface for python ## Why? Python's built in parallel processing and threading library is pretty simple to implement but sometimes you just want to chuck data at a function and make it run faster ## Requirements Python 3+ ## Installation ## Quickstart Use the `threaded` decorator to turn a method into a threaded method. That's it! ```python @thread6.threaded() def threaded_print(): print("") return 1 ``` Alternatively, use `run_threaded` function ```python thread6.run_threaded(threaded_print) ``` Both the `threaded` decorator and `run_threaded` method will return an instance of `ResultThread`. This allow you to optionally wait for the function to finish executing and get the return value. To get the return value, use `.await_output()` ```python result = threaded_print() result.await_output() # this will return 1 ``` If you have a function that needs to execute on a large list of data, use `run_chunked` ```python def update_items(items): ... items = [...] thread6.run_chunked(update_items, items) ``` `.await_output()` also work with `run_chunked` but will return a list of return values instead ## Usage ## Todo - [x] threaded function decorator - [x] run something in a separate thread function - [x] split data into chunk and run in separate threads - [ ] add way for errors to fail loudly - [ ] auto spawn to run fx on a set of data - [ ] explore multi processing? %package help Summary: Development documents and examples for thread6 Provides: python3-thread6-doc %description help # thread6 Simple parallel processing interface for python ## Why? Python's built in parallel processing and threading library is pretty simple to implement but sometimes you just want to chuck data at a function and make it run faster ## Requirements Python 3+ ## Installation ## Quickstart Use the `threaded` decorator to turn a method into a threaded method. That's it! ```python @thread6.threaded() def threaded_print(): print("") return 1 ``` Alternatively, use `run_threaded` function ```python thread6.run_threaded(threaded_print) ``` Both the `threaded` decorator and `run_threaded` method will return an instance of `ResultThread`. This allow you to optionally wait for the function to finish executing and get the return value. To get the return value, use `.await_output()` ```python result = threaded_print() result.await_output() # this will return 1 ``` If you have a function that needs to execute on a large list of data, use `run_chunked` ```python def update_items(items): ... items = [...] thread6.run_chunked(update_items, items) ``` `.await_output()` also work with `run_chunked` but will return a list of return values instead ## Usage ## Todo - [x] threaded function decorator - [x] run something in a separate thread function - [x] split data into chunk and run in separate threads - [ ] add way for errors to fail loudly - [ ] auto spawn to run fx on a set of data - [ ] explore multi processing? %prep %autosetup -n thread6-0.2.0 %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-thread6 -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 25 2023 Python_Bot - 0.2.0-1 - Package Spec generated