automatic import of python-koalas

3 files changed, 387 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..39efe76 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/koalas-1.8.2.tar.gz
diff --git a/python-koalas.spec b/python-koalas.spec
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--- /dev/null
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+%global _empty_manifest_terminate_build 0
+Name:		python-koalas
+Version:	1.8.2
+Release:	1
+Summary:	Koalas: pandas API on Apache Spark
+License:	http://www.apache.org/licenses/LICENSE-2.0
+URL:		https://github.com/databricks/koalas
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b6/c4/81dce696d90ac382e31ded2d8ba09205f8cb4633aa0a6fbb23c8d4874047/koalas-1.8.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-pyarrow
+Requires:	python3-numpy
+Requires:	python3-matplotlib
+Requires:	python3-mlflow
+Requires:	python3-plotly
+Requires:	python3-pyspark
+
+%description
+**NOTE**: Koalas supports Apache Spark 3.1 and below as it will be [officially included to PySpark in the upcoming Apache Spark 3.2](http://apache-spark-developers-list.1001551.n3.nabble.com/VOTE-SPIP-Support-pandas-API-layer-on-PySpark-td30996.html). This repository is now in maintenance mode. For Apache Spark 3.2 and above, please use PySpark directly.
+
+<p align="center">
+  <img src="https://raw.githubusercontent.com/databricks/koalas/master/icons/koalas-logo.png" width="140"/>
+</p>
+
+<p align="center">
+  pandas API on Apache Spark
+  <br/>
+  <a href="https://koalas.readthedocs.io/en/latest/?badge=latest"><strong>Explore Koalas docs »</strong></a>
+  <br/>
+  <br/>
+  <a href="https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb">Live notebook</a>
+  ·
+  <a href="https://github.com/databricks/koalas/issues">Issues</a>
+  ·
+  <a href="https://groups.google.com/forum/#!forum/koalas-dev">Mailing list</a>
+  <br/>
+  <strong><a href="https://www.gofundme.com/f/help-thirsty-koalas-devastated-by-recent-fires">Help Thirsty Koalas Devastated by Recent Fires</a></strong>
+</p>
+
+The Koalas project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.
+
+pandas is the de facto standard (single-node) DataFrame implementation in Python, while Spark is the de facto standard for big data processing. With this package, you can:
+ - Be immediately productive with Spark, with no learning curve, if you are already familiar with pandas.
+ - Have a single codebase that works both with pandas (tests, smaller datasets) and with Spark (distributed datasets).
+
+We would love to have you try it and give us feedback, through our [mailing lists](https://groups.google.com/forum/#!forum/koalas-dev) or [GitHub issues](https://github.com/databricks/koalas/issues).
+
+Try the Koalas 10 minutes tutorial on a live Jupyter notebook [here](https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb). The initial launch can take up to several minutes.
+
+[![Github Actions](https://github.com/databricks/koalas/workflows/master/badge.svg)](https://github.com/databricks/koalas/actions)
+[![codecov](https://codecov.io/gh/databricks/koalas/branch/master/graph/badge.svg)](https://codecov.io/gh/databricks/koalas)
+[![Documentation Status](https://readthedocs.org/projects/koalas/badge/?version=latest)](https://koalas.readthedocs.io/en/latest/?badge=latest)
+[![Latest Release](https://img.shields.io/pypi/v/koalas.svg)](https://pypi.org/project/koalas/)
+[![Conda Version](https://img.shields.io/conda/vn/conda-forge/koalas.svg)](https://anaconda.org/conda-forge/koalas)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb)
+[![Downloads](https://pepy.tech/badge/koalas)](https://pepy.tech/project/koalas)
+
+
+## Getting Started
+
+Koalas can be installed in many ways such as Conda and pip.
+
+```bash
+# Conda
+conda install koalas -c conda-forge
+```
+
+```bash
+# pip
+pip install koalas
+```
+
+See [Installation](https://koalas.readthedocs.io/en/latest/getting_started/install.html) for more details.
+
+For Databricks Runtime, Koalas is pre-installed in Databricks Runtime 7.1 and above. Try [Databricks Community Edition](https://community.cloud.databricks.com/) for free. You can also follow these [steps](https://docs.databricks.com/libraries/index.html) to manually install a library on Databricks.
+
+Lastly, if your PyArrow version is 0.15+ and your PySpark version is lower than 3.0, it is best for you to set `ARROW_PRE_0_15_IPC_FORMAT` environment variable to `1` manually.
+Koalas will try its best to set it for you but it is impossible to set it if there is a Spark context already launched.
+
+Now you can turn a pandas DataFrame into a Koalas DataFrame that is API-compliant with the former:
+
+```python
+import databricks.koalas as ks
+import pandas as pd
+
+pdf = pd.DataFrame({'x':range(3), 'y':['a','b','b'], 'z':['a','b','b']})
+
+# Create a Koalas DataFrame from pandas DataFrame
+df = ks.from_pandas(pdf)
+
+# Rename the columns
+df.columns = ['x', 'y', 'z1']
+
+# Do some operations in place:
+df['x2'] = df.x * df.x
+```
+
+For more details, see [Getting Started](https://koalas.readthedocs.io/en/latest/getting_started/index.html) and [Dependencies](https://koalas.readthedocs.io/en/latest/getting_started/install.html#dependencies) in the official documentation.
+
+
+## Contributing Guide
+
+See [Contributing Guide](https://koalas.readthedocs.io/en/latest/development/contributing.html) and [Design Principles](https://koalas.readthedocs.io/en/latest/development/design.html) in the official documentation.
+
+
+## FAQ
+
+See [FAQ](https://koalas.readthedocs.io/en/latest/user_guide/faq.html) in the official documentation.
+
+
+## Best Practices
+
+See [Best Practices](https://koalas.readthedocs.io/en/latest/user_guide/best_practices.html) in the official documentation.
+
+
+## Koalas Talks and Blogs
+
+See [Koalas Talks and Blogs](https://koalas.readthedocs.io/en/latest/getting_started/videos_blogs.html) in the official documentation.
+
+
+
+
+%package -n python3-koalas
+Summary:	Koalas: pandas API on Apache Spark
+Provides:	python-koalas
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-koalas
+**NOTE**: Koalas supports Apache Spark 3.1 and below as it will be [officially included to PySpark in the upcoming Apache Spark 3.2](http://apache-spark-developers-list.1001551.n3.nabble.com/VOTE-SPIP-Support-pandas-API-layer-on-PySpark-td30996.html). This repository is now in maintenance mode. For Apache Spark 3.2 and above, please use PySpark directly.
+
+<p align="center">
+  <img src="https://raw.githubusercontent.com/databricks/koalas/master/icons/koalas-logo.png" width="140"/>
+</p>
+
+<p align="center">
+  pandas API on Apache Spark
+  <br/>
+  <a href="https://koalas.readthedocs.io/en/latest/?badge=latest"><strong>Explore Koalas docs »</strong></a>
+  <br/>
+  <br/>
+  <a href="https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb">Live notebook</a>
+  ·
+  <a href="https://github.com/databricks/koalas/issues">Issues</a>
+  ·
+  <a href="https://groups.google.com/forum/#!forum/koalas-dev">Mailing list</a>
+  <br/>
+  <strong><a href="https://www.gofundme.com/f/help-thirsty-koalas-devastated-by-recent-fires">Help Thirsty Koalas Devastated by Recent Fires</a></strong>
+</p>
+
+The Koalas project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.
+
+pandas is the de facto standard (single-node) DataFrame implementation in Python, while Spark is the de facto standard for big data processing. With this package, you can:
+ - Be immediately productive with Spark, with no learning curve, if you are already familiar with pandas.
+ - Have a single codebase that works both with pandas (tests, smaller datasets) and with Spark (distributed datasets).
+
+We would love to have you try it and give us feedback, through our [mailing lists](https://groups.google.com/forum/#!forum/koalas-dev) or [GitHub issues](https://github.com/databricks/koalas/issues).
+
+Try the Koalas 10 minutes tutorial on a live Jupyter notebook [here](https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb). The initial launch can take up to several minutes.
+
+[![Github Actions](https://github.com/databricks/koalas/workflows/master/badge.svg)](https://github.com/databricks/koalas/actions)
+[![codecov](https://codecov.io/gh/databricks/koalas/branch/master/graph/badge.svg)](https://codecov.io/gh/databricks/koalas)
+[![Documentation Status](https://readthedocs.org/projects/koalas/badge/?version=latest)](https://koalas.readthedocs.io/en/latest/?badge=latest)
+[![Latest Release](https://img.shields.io/pypi/v/koalas.svg)](https://pypi.org/project/koalas/)
+[![Conda Version](https://img.shields.io/conda/vn/conda-forge/koalas.svg)](https://anaconda.org/conda-forge/koalas)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb)
+[![Downloads](https://pepy.tech/badge/koalas)](https://pepy.tech/project/koalas)
+
+
+## Getting Started
+
+Koalas can be installed in many ways such as Conda and pip.
+
+```bash
+# Conda
+conda install koalas -c conda-forge
+```
+
+```bash
+# pip
+pip install koalas
+```
+
+See [Installation](https://koalas.readthedocs.io/en/latest/getting_started/install.html) for more details.
+
+For Databricks Runtime, Koalas is pre-installed in Databricks Runtime 7.1 and above. Try [Databricks Community Edition](https://community.cloud.databricks.com/) for free. You can also follow these [steps](https://docs.databricks.com/libraries/index.html) to manually install a library on Databricks.
+
+Lastly, if your PyArrow version is 0.15+ and your PySpark version is lower than 3.0, it is best for you to set `ARROW_PRE_0_15_IPC_FORMAT` environment variable to `1` manually.
+Koalas will try its best to set it for you but it is impossible to set it if there is a Spark context already launched.
+
+Now you can turn a pandas DataFrame into a Koalas DataFrame that is API-compliant with the former:
+
+```python
+import databricks.koalas as ks
+import pandas as pd
+
+pdf = pd.DataFrame({'x':range(3), 'y':['a','b','b'], 'z':['a','b','b']})
+
+# Create a Koalas DataFrame from pandas DataFrame
+df = ks.from_pandas(pdf)
+
+# Rename the columns
+df.columns = ['x', 'y', 'z1']
+
+# Do some operations in place:
+df['x2'] = df.x * df.x
+```
+
+For more details, see [Getting Started](https://koalas.readthedocs.io/en/latest/getting_started/index.html) and [Dependencies](https://koalas.readthedocs.io/en/latest/getting_started/install.html#dependencies) in the official documentation.
+
+
+## Contributing Guide
+
+See [Contributing Guide](https://koalas.readthedocs.io/en/latest/development/contributing.html) and [Design Principles](https://koalas.readthedocs.io/en/latest/development/design.html) in the official documentation.
+
+
+## FAQ
+
+See [FAQ](https://koalas.readthedocs.io/en/latest/user_guide/faq.html) in the official documentation.
+
+
+## Best Practices
+
+See [Best Practices](https://koalas.readthedocs.io/en/latest/user_guide/best_practices.html) in the official documentation.
+
+
+## Koalas Talks and Blogs
+
+See [Koalas Talks and Blogs](https://koalas.readthedocs.io/en/latest/getting_started/videos_blogs.html) in the official documentation.
+
+
+
+
+%package help
+Summary:	Development documents and examples for koalas
+Provides:	python3-koalas-doc
+%description help
+**NOTE**: Koalas supports Apache Spark 3.1 and below as it will be [officially included to PySpark in the upcoming Apache Spark 3.2](http://apache-spark-developers-list.1001551.n3.nabble.com/VOTE-SPIP-Support-pandas-API-layer-on-PySpark-td30996.html). This repository is now in maintenance mode. For Apache Spark 3.2 and above, please use PySpark directly.
+
+<p align="center">
+  <img src="https://raw.githubusercontent.com/databricks/koalas/master/icons/koalas-logo.png" width="140"/>
+</p>
+
+<p align="center">
+  pandas API on Apache Spark
+  <br/>
+  <a href="https://koalas.readthedocs.io/en/latest/?badge=latest"><strong>Explore Koalas docs »</strong></a>
+  <br/>
+  <br/>
+  <a href="https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb">Live notebook</a>
+  ·
+  <a href="https://github.com/databricks/koalas/issues">Issues</a>
+  ·
+  <a href="https://groups.google.com/forum/#!forum/koalas-dev">Mailing list</a>
+  <br/>
+  <strong><a href="https://www.gofundme.com/f/help-thirsty-koalas-devastated-by-recent-fires">Help Thirsty Koalas Devastated by Recent Fires</a></strong>
+</p>
+
+The Koalas project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.
+
+pandas is the de facto standard (single-node) DataFrame implementation in Python, while Spark is the de facto standard for big data processing. With this package, you can:
+ - Be immediately productive with Spark, with no learning curve, if you are already familiar with pandas.
+ - Have a single codebase that works both with pandas (tests, smaller datasets) and with Spark (distributed datasets).
+
+We would love to have you try it and give us feedback, through our [mailing lists](https://groups.google.com/forum/#!forum/koalas-dev) or [GitHub issues](https://github.com/databricks/koalas/issues).
+
+Try the Koalas 10 minutes tutorial on a live Jupyter notebook [here](https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb). The initial launch can take up to several minutes.
+
+[![Github Actions](https://github.com/databricks/koalas/workflows/master/badge.svg)](https://github.com/databricks/koalas/actions)
+[![codecov](https://codecov.io/gh/databricks/koalas/branch/master/graph/badge.svg)](https://codecov.io/gh/databricks/koalas)
+[![Documentation Status](https://readthedocs.org/projects/koalas/badge/?version=latest)](https://koalas.readthedocs.io/en/latest/?badge=latest)
+[![Latest Release](https://img.shields.io/pypi/v/koalas.svg)](https://pypi.org/project/koalas/)
+[![Conda Version](https://img.shields.io/conda/vn/conda-forge/koalas.svg)](https://anaconda.org/conda-forge/koalas)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb)
+[![Downloads](https://pepy.tech/badge/koalas)](https://pepy.tech/project/koalas)
+
+
+## Getting Started
+
+Koalas can be installed in many ways such as Conda and pip.
+
+```bash
+# Conda
+conda install koalas -c conda-forge
+```
+
+```bash
+# pip
+pip install koalas
+```
+
+See [Installation](https://koalas.readthedocs.io/en/latest/getting_started/install.html) for more details.
+
+For Databricks Runtime, Koalas is pre-installed in Databricks Runtime 7.1 and above. Try [Databricks Community Edition](https://community.cloud.databricks.com/) for free. You can also follow these [steps](https://docs.databricks.com/libraries/index.html) to manually install a library on Databricks.
+
+Lastly, if your PyArrow version is 0.15+ and your PySpark version is lower than 3.0, it is best for you to set `ARROW_PRE_0_15_IPC_FORMAT` environment variable to `1` manually.
+Koalas will try its best to set it for you but it is impossible to set it if there is a Spark context already launched.
+
+Now you can turn a pandas DataFrame into a Koalas DataFrame that is API-compliant with the former:
+
+```python
+import databricks.koalas as ks
+import pandas as pd
+
+pdf = pd.DataFrame({'x':range(3), 'y':['a','b','b'], 'z':['a','b','b']})
+
+# Create a Koalas DataFrame from pandas DataFrame
+df = ks.from_pandas(pdf)
+
+# Rename the columns
+df.columns = ['x', 'y', 'z1']
+
+# Do some operations in place:
+df['x2'] = df.x * df.x
+```
+
+For more details, see [Getting Started](https://koalas.readthedocs.io/en/latest/getting_started/index.html) and [Dependencies](https://koalas.readthedocs.io/en/latest/getting_started/install.html#dependencies) in the official documentation.
+
+
+## Contributing Guide
+
+See [Contributing Guide](https://koalas.readthedocs.io/en/latest/development/contributing.html) and [Design Principles](https://koalas.readthedocs.io/en/latest/development/design.html) in the official documentation.
+
+
+## FAQ
+
+See [FAQ](https://koalas.readthedocs.io/en/latest/user_guide/faq.html) in the official documentation.
+
+
+## Best Practices
+
+See [Best Practices](https://koalas.readthedocs.io/en/latest/user_guide/best_practices.html) in the official documentation.
+
+
+## Koalas Talks and Blogs
+
+See [Koalas Talks and Blogs](https://koalas.readthedocs.io/en/latest/getting_started/videos_blogs.html) in the official documentation.
+
+
+
+
+%prep
+%autosetup -n koalas-1.8.2
+
+%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-koalas -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.8.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..ccd7816
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+423c3b93f51d076df668e1980987d6df  koalas-1.8.2.tar.gz