automatic import of python-scikeras

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+/scikeras-0.10.0.tar.gz
diff --git a/python-scikeras.spec b/python-scikeras.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-scikeras
+Version:	0.10.0
+Release:	1
+Summary:	Scikit-Learn API wrapper for Keras.
+License:	MIT
+URL:		https://github.com/adriangb/scikeras
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b8/ef/fcba50e96afbede8348f16e93124b83a9872a8aac5e4849c2c656ddb6e28/scikeras-0.10.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-importlib-metadata
+Requires:	python3-scikit-learn
+Requires:	python3-packaging
+Requires:	python3-tensorflow
+Requires:	python3-tensorflow-cpu
+Requires:	python3-grpcio
+
+%description
+# Scikit-Learn Wrapper for Keras
+
+[![Build Status](https://github.com/adriangb/scikeras/workflows/Tests/badge.svg)](https://github.com/adriangb/scikeras/actions?query=workflow%3ATests+branch%3Amaster)
+[![Coverage Status](https://codecov.io/gh/adriangb/scikeras/branch/master/graph/badge.svg)](https://codecov.io/gh/adriangb/scikeras)
+[![Docs](https://github.com/adriangb/scikeras/workflows/Build%20Docs/badge.svg)](https://www.adriangb.com/scikeras/)
+
+Scikit-Learn compatible wrappers for Keras Models.
+
+## Why SciKeras
+
+SciKeras is derived from and API compatible with `tf.keras.wrappers.scikit_learn`. The original TensorFlow (TF) wrappers are not actively maintained,
+and [will be removed](https://github.com/tensorflow/tensorflow/pull/36137#issuecomment-726271760) in a future release.
+
+An overview of the advantages and differences as compared to the TF wrappers can be found in our
+[migration](https://www.adriangb.com/scikeras/stable/migration.html) guide.
+
+## Installation
+
+This package is available on PyPi:
+
+```bash
+# Normal tensorflow
+pip install scikeras[tensorflow]
+
+# or tensorflow-cpu
+pip install scikeras[tensorflow-cpu]
+```
+
+SciKeras packages TensorFlow as an optional dependency because there are
+several flavors of TensorFlow available (`tensorflow`, `tensorflow-cpu`, etc.).
+Depending on _one_ of them in particular disallows the usage of the other, which is why
+they need to be optional.
+
+`pip install scikeras[tensorflow]` is basically equivalent to `pip install scikeras tensorflow`
+and is offered just for convenience. You can also install just SciKeras with
+`pip install scikeras`, but you will need a version of tensorflow installed at
+runtime or SciKeras will throw an error when you try to import it.
+
+The current version of SciKeras depends on `scikit-learn>=1.0.0` and `TensorFlow>=2.7.0`.
+
+### Migrating from `tf.keras.wrappers.scikit_learn`
+
+Please see the [migration](https://www.adriangb.com/scikeras/stable/migration.html) section of our documentation.
+
+## Documentation
+
+Documentation is available at [https://www.adriangb.com/scikeras/](https://www.adriangb.com/scikeras/).
+
+## Contributing
+
+See [CONTRIBUTING.md](https://github.com/adriangb/scikeras/blob/master/CONTRIBUTING.md)
+
+
+%package -n python3-scikeras
+Summary:	Scikit-Learn API wrapper for Keras.
+Provides:	python-scikeras
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-scikeras
+# Scikit-Learn Wrapper for Keras
+
+[![Build Status](https://github.com/adriangb/scikeras/workflows/Tests/badge.svg)](https://github.com/adriangb/scikeras/actions?query=workflow%3ATests+branch%3Amaster)
+[![Coverage Status](https://codecov.io/gh/adriangb/scikeras/branch/master/graph/badge.svg)](https://codecov.io/gh/adriangb/scikeras)
+[![Docs](https://github.com/adriangb/scikeras/workflows/Build%20Docs/badge.svg)](https://www.adriangb.com/scikeras/)
+
+Scikit-Learn compatible wrappers for Keras Models.
+
+## Why SciKeras
+
+SciKeras is derived from and API compatible with `tf.keras.wrappers.scikit_learn`. The original TensorFlow (TF) wrappers are not actively maintained,
+and [will be removed](https://github.com/tensorflow/tensorflow/pull/36137#issuecomment-726271760) in a future release.
+
+An overview of the advantages and differences as compared to the TF wrappers can be found in our
+[migration](https://www.adriangb.com/scikeras/stable/migration.html) guide.
+
+## Installation
+
+This package is available on PyPi:
+
+```bash
+# Normal tensorflow
+pip install scikeras[tensorflow]
+
+# or tensorflow-cpu
+pip install scikeras[tensorflow-cpu]
+```
+
+SciKeras packages TensorFlow as an optional dependency because there are
+several flavors of TensorFlow available (`tensorflow`, `tensorflow-cpu`, etc.).
+Depending on _one_ of them in particular disallows the usage of the other, which is why
+they need to be optional.
+
+`pip install scikeras[tensorflow]` is basically equivalent to `pip install scikeras tensorflow`
+and is offered just for convenience. You can also install just SciKeras with
+`pip install scikeras`, but you will need a version of tensorflow installed at
+runtime or SciKeras will throw an error when you try to import it.
+
+The current version of SciKeras depends on `scikit-learn>=1.0.0` and `TensorFlow>=2.7.0`.
+
+### Migrating from `tf.keras.wrappers.scikit_learn`
+
+Please see the [migration](https://www.adriangb.com/scikeras/stable/migration.html) section of our documentation.
+
+## Documentation
+
+Documentation is available at [https://www.adriangb.com/scikeras/](https://www.adriangb.com/scikeras/).
+
+## Contributing
+
+See [CONTRIBUTING.md](https://github.com/adriangb/scikeras/blob/master/CONTRIBUTING.md)
+
+
+%package help
+Summary:	Development documents and examples for scikeras
+Provides:	python3-scikeras-doc
+%description help
+# Scikit-Learn Wrapper for Keras
+
+[![Build Status](https://github.com/adriangb/scikeras/workflows/Tests/badge.svg)](https://github.com/adriangb/scikeras/actions?query=workflow%3ATests+branch%3Amaster)
+[![Coverage Status](https://codecov.io/gh/adriangb/scikeras/branch/master/graph/badge.svg)](https://codecov.io/gh/adriangb/scikeras)
+[![Docs](https://github.com/adriangb/scikeras/workflows/Build%20Docs/badge.svg)](https://www.adriangb.com/scikeras/)
+
+Scikit-Learn compatible wrappers for Keras Models.
+
+## Why SciKeras
+
+SciKeras is derived from and API compatible with `tf.keras.wrappers.scikit_learn`. The original TensorFlow (TF) wrappers are not actively maintained,
+and [will be removed](https://github.com/tensorflow/tensorflow/pull/36137#issuecomment-726271760) in a future release.
+
+An overview of the advantages and differences as compared to the TF wrappers can be found in our
+[migration](https://www.adriangb.com/scikeras/stable/migration.html) guide.
+
+## Installation
+
+This package is available on PyPi:
+
+```bash
+# Normal tensorflow
+pip install scikeras[tensorflow]
+
+# or tensorflow-cpu
+pip install scikeras[tensorflow-cpu]
+```
+
+SciKeras packages TensorFlow as an optional dependency because there are
+several flavors of TensorFlow available (`tensorflow`, `tensorflow-cpu`, etc.).
+Depending on _one_ of them in particular disallows the usage of the other, which is why
+they need to be optional.
+
+`pip install scikeras[tensorflow]` is basically equivalent to `pip install scikeras tensorflow`
+and is offered just for convenience. You can also install just SciKeras with
+`pip install scikeras`, but you will need a version of tensorflow installed at
+runtime or SciKeras will throw an error when you try to import it.
+
+The current version of SciKeras depends on `scikit-learn>=1.0.0` and `TensorFlow>=2.7.0`.
+
+### Migrating from `tf.keras.wrappers.scikit_learn`
+
+Please see the [migration](https://www.adriangb.com/scikeras/stable/migration.html) section of our documentation.
+
+## Documentation
+
+Documentation is available at [https://www.adriangb.com/scikeras/](https://www.adriangb.com/scikeras/).
+
+## Contributing
+
+See [CONTRIBUTING.md](https://github.com/adriangb/scikeras/blob/master/CONTRIBUTING.md)
+
+
+%prep
+%autosetup -n scikeras-0.10.0
+
+%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-scikeras -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.10.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..a338707
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+1eee5ff27eb957418fcac6f85167394b  scikeras-0.10.0.tar.gz