automatic import of python-pandarallel

3 files changed, 212 insertions, 0 deletions

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 <Python_Bot@openeuler.org> - 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