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+%global _empty_manifest_terminate_build 0
+Name:		python-adtk
+Version:	0.6.2
+Release:	1
+Summary:	A package for unsupervised time series anomaly detection
+License:	Mozilla Public License 2.0 (MPL 2.0)
+URL:		https://github.com/arundo/adtk
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/dc/72/ba10b935b4941a5d7e54edce86354ec389d08d06b53aae4e7fa464fed0e3/adtk-0.6.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-matplotlib
+Requires:	python3-scikit-learn
+Requires:	python3-statsmodels
+Requires:	python3-packaging
+Requires:	python3-tabulate
+Requires:	python3-black
+Requires:	python3-isort
+Requires:	python3-sphinx
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-nbsphinx
+Requires:	python3-dateutil
+Requires:	python3-jupyter
+Requires:	python3-pytest
+Requires:	python3-tox
+Requires:	python3-coverage
+Requires:	python3-pytest-cov
+Requires:	python3-coveralls
+Requires:	python3-mypy
+
+%description
+# Anomaly Detection Toolkit (ADTK)
+
+[![Build Status](https://travis-ci.com/arundo/adtk.svg?branch=master)](https://travis-ci.com/arundo/adtk)
+[![Documentation Status](https://readthedocs.org/projects/adtk/badge/?version=stable)](https://adtk.readthedocs.io/en/stable)
+[![Coverage Status](https://coveralls.io/repos/github/arundo/adtk/badge.svg?branch=master&service=github)](https://coveralls.io/github/arundo/adtk?branch=master)
+[![PyPI](https://img.shields.io/pypi/v/adtk)](https://pypi.org/project/adtk/)
+[![Downloads](https://pepy.tech/badge/adtk)](https://pepy.tech/project/adtk)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb)
+
+Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised /
+rule-based time series anomaly detection.
+
+As the nature of anomaly varies over different cases, a model may not work
+universally for all anomaly detection problems. Choosing and combining
+detection algorithms (detectors), feature engineering methods (transformers),
+and ensemble methods (aggregators) properly is the key to build an effective
+anomaly detection model.
+
+This package offers a set of common detectors, transformers and aggregators
+with unified APIs, as well as pipe classes that connect them together into
+models. It also provides some functions to process and visualize time series
+and anomaly events.
+
+See https://adtk.readthedocs.io for complete documentation.
+
+## Installation
+
+Prerequisites: Python 3.5 or later.
+
+It is recommended to install the most recent **stable** release of ADTK from PyPI.
+
+```shell
+pip install adtk
+```
+
+Alternatively, you could install from source code. This will give you the **latest**, but unstable, version of ADTK.
+
+```shell
+git clone https://github.com/arundo/adtk.git
+cd adtk/
+git checkout develop
+pip install ./
+```
+
+## Examples
+
+Please see [Quick Start](https://adtk.readthedocs.io/en/stable/quickstart.html) for a simple example.
+
+For more detailed examples of each module of ADTK, please refer to
+[Examples](https://adtk.readthedocs.io/en/stable/examples.html)
+section in the documentation or [an interactive demo notebook](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb).
+
+## Contributing
+
+Pull requests are welcome. For major changes, please open an issue first to
+discuss what you would like to change.
+
+Please make sure to update unit tests as appropriate.
+
+Please see [Contributing](https://adtk.readthedocs.io/en/stable/developer.html) for more details.
+
+
+## License
+
+ADTK is licensed under the Mozilla Public License 2.0 (MPL 2.0). See the
+[LICENSE](LICENSE) file for details.
+
+
+
+
+%package -n python3-adtk
+Summary:	A package for unsupervised time series anomaly detection
+Provides:	python-adtk
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-adtk
+# Anomaly Detection Toolkit (ADTK)
+
+[![Build Status](https://travis-ci.com/arundo/adtk.svg?branch=master)](https://travis-ci.com/arundo/adtk)
+[![Documentation Status](https://readthedocs.org/projects/adtk/badge/?version=stable)](https://adtk.readthedocs.io/en/stable)
+[![Coverage Status](https://coveralls.io/repos/github/arundo/adtk/badge.svg?branch=master&service=github)](https://coveralls.io/github/arundo/adtk?branch=master)
+[![PyPI](https://img.shields.io/pypi/v/adtk)](https://pypi.org/project/adtk/)
+[![Downloads](https://pepy.tech/badge/adtk)](https://pepy.tech/project/adtk)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb)
+
+Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised /
+rule-based time series anomaly detection.
+
+As the nature of anomaly varies over different cases, a model may not work
+universally for all anomaly detection problems. Choosing and combining
+detection algorithms (detectors), feature engineering methods (transformers),
+and ensemble methods (aggregators) properly is the key to build an effective
+anomaly detection model.
+
+This package offers a set of common detectors, transformers and aggregators
+with unified APIs, as well as pipe classes that connect them together into
+models. It also provides some functions to process and visualize time series
+and anomaly events.
+
+See https://adtk.readthedocs.io for complete documentation.
+
+## Installation
+
+Prerequisites: Python 3.5 or later.
+
+It is recommended to install the most recent **stable** release of ADTK from PyPI.
+
+```shell
+pip install adtk
+```
+
+Alternatively, you could install from source code. This will give you the **latest**, but unstable, version of ADTK.
+
+```shell
+git clone https://github.com/arundo/adtk.git
+cd adtk/
+git checkout develop
+pip install ./
+```
+
+## Examples
+
+Please see [Quick Start](https://adtk.readthedocs.io/en/stable/quickstart.html) for a simple example.
+
+For more detailed examples of each module of ADTK, please refer to
+[Examples](https://adtk.readthedocs.io/en/stable/examples.html)
+section in the documentation or [an interactive demo notebook](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb).
+
+## Contributing
+
+Pull requests are welcome. For major changes, please open an issue first to
+discuss what you would like to change.
+
+Please make sure to update unit tests as appropriate.
+
+Please see [Contributing](https://adtk.readthedocs.io/en/stable/developer.html) for more details.
+
+
+## License
+
+ADTK is licensed under the Mozilla Public License 2.0 (MPL 2.0). See the
+[LICENSE](LICENSE) file for details.
+
+
+
+
+%package help
+Summary:	Development documents and examples for adtk
+Provides:	python3-adtk-doc
+%description help
+# Anomaly Detection Toolkit (ADTK)
+
+[![Build Status](https://travis-ci.com/arundo/adtk.svg?branch=master)](https://travis-ci.com/arundo/adtk)
+[![Documentation Status](https://readthedocs.org/projects/adtk/badge/?version=stable)](https://adtk.readthedocs.io/en/stable)
+[![Coverage Status](https://coveralls.io/repos/github/arundo/adtk/badge.svg?branch=master&service=github)](https://coveralls.io/github/arundo/adtk?branch=master)
+[![PyPI](https://img.shields.io/pypi/v/adtk)](https://pypi.org/project/adtk/)
+[![Downloads](https://pepy.tech/badge/adtk)](https://pepy.tech/project/adtk)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb)
+
+Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised /
+rule-based time series anomaly detection.
+
+As the nature of anomaly varies over different cases, a model may not work
+universally for all anomaly detection problems. Choosing and combining
+detection algorithms (detectors), feature engineering methods (transformers),
+and ensemble methods (aggregators) properly is the key to build an effective
+anomaly detection model.
+
+This package offers a set of common detectors, transformers and aggregators
+with unified APIs, as well as pipe classes that connect them together into
+models. It also provides some functions to process and visualize time series
+and anomaly events.
+
+See https://adtk.readthedocs.io for complete documentation.
+
+## Installation
+
+Prerequisites: Python 3.5 or later.
+
+It is recommended to install the most recent **stable** release of ADTK from PyPI.
+
+```shell
+pip install adtk
+```
+
+Alternatively, you could install from source code. This will give you the **latest**, but unstable, version of ADTK.
+
+```shell
+git clone https://github.com/arundo/adtk.git
+cd adtk/
+git checkout develop
+pip install ./
+```
+
+## Examples
+
+Please see [Quick Start](https://adtk.readthedocs.io/en/stable/quickstart.html) for a simple example.
+
+For more detailed examples of each module of ADTK, please refer to
+[Examples](https://adtk.readthedocs.io/en/stable/examples.html)
+section in the documentation or [an interactive demo notebook](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb).
+
+## Contributing
+
+Pull requests are welcome. For major changes, please open an issue first to
+discuss what you would like to change.
+
+Please make sure to update unit tests as appropriate.
+
+Please see [Contributing](https://adtk.readthedocs.io/en/stable/developer.html) for more details.
+
+
+## License
+
+ADTK is licensed under the Mozilla Public License 2.0 (MPL 2.0). See the
+[LICENSE](LICENSE) file for details.
+
+
+
+
+%prep
+%autosetup -n adtk-0.6.2
+
+%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-adtk -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.2-1
+- Package Spec generated