From a89a626aacf3fa7204ab6d65141278638707e3de Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Mon, 10 Apr 2023 15:52:04 +0000 Subject: automatic import of python-pandarallel --- .gitignore | 1 + python-pandarallel.spec | 210 ++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 212 insertions(+) create mode 100644 python-pandarallel.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..d0bbebd 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/pandarallel-1.6.4.tar.gz diff --git a/python-pandarallel.spec b/python-pandarallel.spec new file mode 100644 index 0000000..1f1c629 --- /dev/null +++ b/python-pandarallel.spec @@ -0,0 +1,210 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pandarallel +Version: 1.6.4 +Release: 1 +Summary: An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas. +License: BSD +URL: https://nalepae.github.io/pandarallel +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/bd/87/351e04dc5eb4d6c5d8ceaecf353e99e5bcda5be406457c5775263d0e5769/pandarallel-1.6.4.tar.gz +BuildArch: noarch + + +%description +# Pandaral·lel + +[![PyPI version fury.io](https://badge.fury.io/py/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) +[![PyPI license](https://img.shields.io/pypi/l/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) +[![PyPI download month](https://img.shields.io/pypi/dm/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) + +| Without parallelization | ![Without Pandarallel](https://github.com/nalepae/pandarallel/blob/master/docs/progress_apply.gif?raw=true) | +| :----------------------: | ----------------------------------------------------------------------------------------------------------------- | +| **With parallelization** | ![With Pandarallel](https://github.com/nalepae/pandarallel/blob/master/docs/progress_parallel_apply.gif?raw=true) | + +**Pandaral.lel** provides a simple way to parallelize your pandas operations on all your +CPUs by changing only one line of code. It also displays progress bars. + +## Maintainers +- [Manu NALEPA](https://github.com/nalepae/) +- [till-m](https://github.com/till-m) + +## Installation + +```bash +pip install pandarallel [--upgrade] [--user] +``` + +## Quickstart + +```python +from pandarallel import pandarallel + +pandarallel.initialize(progress_bar=True) + +# df.apply(func) +df.parallel_apply(func) +``` + +## Usage + +Be sure to check out the [documentation](https://nalepae.github.io/pandarallel). + +## Examples + +An example of each available `pandas` API is available: + +- For [Mac & Linux](https://github.com/nalepae/pandarallel/blob/master/docs/examples_mac_linux.ipynb) +- For [Windows](https://github.com/nalepae/pandarallel/blob/master/docs/examples_windows.ipynb) + + + + +%package -n python3-pandarallel +Summary: An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas. +Provides: python-pandarallel +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pandarallel +# Pandaral·lel + +[![PyPI version fury.io](https://badge.fury.io/py/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) +[![PyPI license](https://img.shields.io/pypi/l/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) +[![PyPI download month](https://img.shields.io/pypi/dm/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) + +| Without parallelization | ![Without Pandarallel](https://github.com/nalepae/pandarallel/blob/master/docs/progress_apply.gif?raw=true) | +| :----------------------: | ----------------------------------------------------------------------------------------------------------------- | +| **With parallelization** | ![With Pandarallel](https://github.com/nalepae/pandarallel/blob/master/docs/progress_parallel_apply.gif?raw=true) | + +**Pandaral.lel** provides a simple way to parallelize your pandas operations on all your +CPUs by changing only one line of code. It also displays progress bars. + +## Maintainers +- [Manu NALEPA](https://github.com/nalepae/) +- [till-m](https://github.com/till-m) + +## Installation + +```bash +pip install pandarallel [--upgrade] [--user] +``` + +## Quickstart + +```python +from pandarallel import pandarallel + +pandarallel.initialize(progress_bar=True) + +# df.apply(func) +df.parallel_apply(func) +``` + +## Usage + +Be sure to check out the [documentation](https://nalepae.github.io/pandarallel). + +## Examples + +An example of each available `pandas` API is available: + +- For [Mac & Linux](https://github.com/nalepae/pandarallel/blob/master/docs/examples_mac_linux.ipynb) +- For [Windows](https://github.com/nalepae/pandarallel/blob/master/docs/examples_windows.ipynb) + + + + +%package help +Summary: Development documents and examples for pandarallel +Provides: python3-pandarallel-doc +%description help +# Pandaral·lel + +[![PyPI version fury.io](https://badge.fury.io/py/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) +[![PyPI license](https://img.shields.io/pypi/l/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) +[![PyPI download month](https://img.shields.io/pypi/dm/pandarallel.svg)](https://pypi.python.org/pypi/pandarallel/) + +| Without parallelization | ![Without Pandarallel](https://github.com/nalepae/pandarallel/blob/master/docs/progress_apply.gif?raw=true) | +| :----------------------: | ----------------------------------------------------------------------------------------------------------------- | +| **With parallelization** | ![With Pandarallel](https://github.com/nalepae/pandarallel/blob/master/docs/progress_parallel_apply.gif?raw=true) | + +**Pandaral.lel** provides a simple way to parallelize your pandas operations on all your +CPUs by changing only one line of code. It also displays progress bars. + +## Maintainers +- [Manu NALEPA](https://github.com/nalepae/) +- [till-m](https://github.com/till-m) + +## Installation + +```bash +pip install pandarallel [--upgrade] [--user] +``` + +## Quickstart + +```python +from pandarallel import pandarallel + +pandarallel.initialize(progress_bar=True) + +# df.apply(func) +df.parallel_apply(func) +``` + +## Usage + +Be sure to check out the [documentation](https://nalepae.github.io/pandarallel). + +## Examples + +An example of each available `pandas` API is available: + +- For [Mac & Linux](https://github.com/nalepae/pandarallel/blob/master/docs/examples_mac_linux.ipynb) +- For [Windows](https://github.com/nalepae/pandarallel/blob/master/docs/examples_windows.ipynb) + + + + +%prep +%autosetup -n pandarallel-1.6.4 + +%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-pandarallel -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot - 1.6.4-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..d94dfce --- /dev/null +++ b/sources @@ -0,0 +1 @@ +d4c01b5740b6eb7bb7da6446c9ebb1da pandarallel-1.6.4.tar.gz -- cgit v1.2.3