automatic import of python-mne

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diff --git a/.gitignore b/.gitignore
index e69de29..be44c36 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/mne-1.3.1.tar.gz
diff --git a/python-mne.spec b/python-mne.spec
new file mode 100644
index 0000000..f880a3d
--- /dev/null
+++ b/python-mne.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-mne
+Version:	1.3.1
+Release:	1
+Summary:	MNE-Python project for MEG and EEG data analysis.
+License:	BSD-3-Clause
+URL:		https://mne.tools/dev/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d6/ee/2dbb0a27d7431bec54c9300ae571f227fe5b21015c73a77dd641af684d21/mne-1.3.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-matplotlib
+Requires:	python3-tqdm
+Requires:	python3-pooch
+Requires:	python3-decorator
+Requires:	python3-packaging
+Requires:	python3-jinja2
+Requires:	python3-h5io
+Requires:	python3-pymatreader
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-pytest-timeout
+Requires:	python3-pytest-harvest
+Requires:	python3-flake8
+Requires:	python3-flake8-array-spacing
+Requires:	python3-numpydoc
+Requires:	python3-codespell
+Requires:	python3-pydocstyle
+Requires:	python3-check-manifest
+Requires:	python3-twine
+Requires:	python3-wheel
+Requires:	python3-nitime
+Requires:	python3-nbclient
+Requires:	python3-sphinx-gallery
+Requires:	python3-eeglabio
+Requires:	python3-EDFlib-Python
+Requires:	python3-pybv
+Requires:	python3-imageio-ffmpeg
+
+%description
+`MNE-Python software`_ is an open-source Python package for exploring,
+visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG,
+ECoG, and more. It includes modules for data input/output, preprocessing,
+visualization, source estimation, time-frequency analysis, connectivity analysis,
+machine learning, and statistics.
+Documentation
+^^^^^^^^^^^^^
+`MNE documentation`_ for MNE-Python is available online.
+Installing MNE-Python
+^^^^^^^^^^^^^^^^^^^^^
+To install the latest stable version of MNE-Python, you can use pip_ in a terminal:
+    $ pip install -U mne
+- MNE-Python 0.17 was the last release to support Python 2.7
+- MNE-Python 0.18 requires Python 3.5 or higher
+- MNE-Python 0.21 requires Python 3.6 or higher
+- MNE-Python 0.24 requires Python 3.7 or higher
+For more complete instructions and more advanced installation methods (e.g. for
+the latest development version), see the `installation guide`_.
+Get the latest code
+^^^^^^^^^^^^^^^^^^^
+To install the latest version of the code using pip_ open a terminal and type:
+    $ pip install -U https://github.com/mne-tools/mne-python/archive/main.zip
+To get the latest code using `git <https://git-scm.com/>`__, open a terminal and type:
+    $ git clone https://github.com/mne-tools/mne-python.git
+Alternatively, you can also download a
+`zip file of the latest development version <https://github.com/mne-tools/mne-python/archive/main.zip>`__.
+Dependencies
+^^^^^^^^^^^^
+The minimum required dependencies to run MNE-Python are:
+- Python >= 3.7
+- NumPy >= 1.18.1
+- SciPy >= 1.4.1
+- Matplotlib >= 3.1.0
+- pooch >= 1.5
+- tqdm
+- Jinja2
+- decorator
+For full functionality, some functions require:
+- Scikit-learn >= 0.22.0
+- joblib >= 0.15 (for parallelization control)
+- Numba >= 0.48.0
+- NiBabel >= 2.5.0
+- OpenMEEG >= 2.5.5
+- Pandas >= 1.0.0
+- Picard >= 0.3
+- CuPy >= 7.1.1 (for NVIDIA CUDA acceleration)
+- DIPY >= 1.1.0
+- Imageio >= 2.6.1
+- PyVista >= 0.32
+- pyvistaqt >= 0.4
+- mffpy >= 0.5.7
+- h5py
+- h5io
+- pymatreader
+Contributing to MNE-Python
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+Please see the documentation on the MNE-Python homepage:
+https://mne.tools/dev/install/contributing.html
+Forum
+^^^^^^
+https://mne.discourse.group
+Licensing
+^^^^^^^^^
+MNE-Python is **BSD-licenced** (BSD-3-Clause):
+    This software is OSI Certified Open Source Software.
+    OSI Certified is a certification mark of the Open Source Initiative.
+    Copyright (c) 2011-2022, authors of MNE-Python.
+    All rights reserved.
+    Redistribution and use in source and binary forms, with or without
+    modification, are permitted provided that the following conditions are met:
+    * Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright notice,
+      this list of conditions and the following disclaimer in the documentation
+      and/or other materials provided with the distribution.
+    * Neither the names of MNE-Python authors nor the names of any
+      contributors may be used to endorse or promote products derived from
+      this software without specific prior written permission.
+    **This software is provided by the copyright holders and contributors
+    "as is" and any express or implied warranties, including, but not
+    limited to, the implied warranties of merchantability and fitness for
+    a particular purpose are disclaimed. In no event shall the copyright
+    owner or contributors be liable for any direct, indirect, incidental,
+    special, exemplary, or consequential damages (including, but not
+    limited to, procurement of substitute goods or services; loss of use,
+    data, or profits; or business interruption) however caused and on any
+    theory of liability, whether in contract, strict liability, or tort
+    (including negligence or otherwise) arising in any way out of the use
+    of this software, even if advised of the possibility of such
+    damage.**
+
+%package -n python3-mne
+Summary:	MNE-Python project for MEG and EEG data analysis.
+Provides:	python-mne
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-mne
+`MNE-Python software`_ is an open-source Python package for exploring,
+visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG,
+ECoG, and more. It includes modules for data input/output, preprocessing,
+visualization, source estimation, time-frequency analysis, connectivity analysis,
+machine learning, and statistics.
+Documentation
+^^^^^^^^^^^^^
+`MNE documentation`_ for MNE-Python is available online.
+Installing MNE-Python
+^^^^^^^^^^^^^^^^^^^^^
+To install the latest stable version of MNE-Python, you can use pip_ in a terminal:
+    $ pip install -U mne
+- MNE-Python 0.17 was the last release to support Python 2.7
+- MNE-Python 0.18 requires Python 3.5 or higher
+- MNE-Python 0.21 requires Python 3.6 or higher
+- MNE-Python 0.24 requires Python 3.7 or higher
+For more complete instructions and more advanced installation methods (e.g. for
+the latest development version), see the `installation guide`_.
+Get the latest code
+^^^^^^^^^^^^^^^^^^^
+To install the latest version of the code using pip_ open a terminal and type:
+    $ pip install -U https://github.com/mne-tools/mne-python/archive/main.zip
+To get the latest code using `git <https://git-scm.com/>`__, open a terminal and type:
+    $ git clone https://github.com/mne-tools/mne-python.git
+Alternatively, you can also download a
+`zip file of the latest development version <https://github.com/mne-tools/mne-python/archive/main.zip>`__.
+Dependencies
+^^^^^^^^^^^^
+The minimum required dependencies to run MNE-Python are:
+- Python >= 3.7
+- NumPy >= 1.18.1
+- SciPy >= 1.4.1
+- Matplotlib >= 3.1.0
+- pooch >= 1.5
+- tqdm
+- Jinja2
+- decorator
+For full functionality, some functions require:
+- Scikit-learn >= 0.22.0
+- joblib >= 0.15 (for parallelization control)
+- Numba >= 0.48.0
+- NiBabel >= 2.5.0
+- OpenMEEG >= 2.5.5
+- Pandas >= 1.0.0
+- Picard >= 0.3
+- CuPy >= 7.1.1 (for NVIDIA CUDA acceleration)
+- DIPY >= 1.1.0
+- Imageio >= 2.6.1
+- PyVista >= 0.32
+- pyvistaqt >= 0.4
+- mffpy >= 0.5.7
+- h5py
+- h5io
+- pymatreader
+Contributing to MNE-Python
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+Please see the documentation on the MNE-Python homepage:
+https://mne.tools/dev/install/contributing.html
+Forum
+^^^^^^
+https://mne.discourse.group
+Licensing
+^^^^^^^^^
+MNE-Python is **BSD-licenced** (BSD-3-Clause):
+    This software is OSI Certified Open Source Software.
+    OSI Certified is a certification mark of the Open Source Initiative.
+    Copyright (c) 2011-2022, authors of MNE-Python.
+    All rights reserved.
+    Redistribution and use in source and binary forms, with or without
+    modification, are permitted provided that the following conditions are met:
+    * Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright notice,
+      this list of conditions and the following disclaimer in the documentation
+      and/or other materials provided with the distribution.
+    * Neither the names of MNE-Python authors nor the names of any
+      contributors may be used to endorse or promote products derived from
+      this software without specific prior written permission.
+    **This software is provided by the copyright holders and contributors
+    "as is" and any express or implied warranties, including, but not
+    limited to, the implied warranties of merchantability and fitness for
+    a particular purpose are disclaimed. In no event shall the copyright
+    owner or contributors be liable for any direct, indirect, incidental,
+    special, exemplary, or consequential damages (including, but not
+    limited to, procurement of substitute goods or services; loss of use,
+    data, or profits; or business interruption) however caused and on any
+    theory of liability, whether in contract, strict liability, or tort
+    (including negligence or otherwise) arising in any way out of the use
+    of this software, even if advised of the possibility of such
+    damage.**
+
+%package help
+Summary:	Development documents and examples for mne
+Provides:	python3-mne-doc
+%description help
+`MNE-Python software`_ is an open-source Python package for exploring,
+visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG,
+ECoG, and more. It includes modules for data input/output, preprocessing,
+visualization, source estimation, time-frequency analysis, connectivity analysis,
+machine learning, and statistics.
+Documentation
+^^^^^^^^^^^^^
+`MNE documentation`_ for MNE-Python is available online.
+Installing MNE-Python
+^^^^^^^^^^^^^^^^^^^^^
+To install the latest stable version of MNE-Python, you can use pip_ in a terminal:
+    $ pip install -U mne
+- MNE-Python 0.17 was the last release to support Python 2.7
+- MNE-Python 0.18 requires Python 3.5 or higher
+- MNE-Python 0.21 requires Python 3.6 or higher
+- MNE-Python 0.24 requires Python 3.7 or higher
+For more complete instructions and more advanced installation methods (e.g. for
+the latest development version), see the `installation guide`_.
+Get the latest code
+^^^^^^^^^^^^^^^^^^^
+To install the latest version of the code using pip_ open a terminal and type:
+    $ pip install -U https://github.com/mne-tools/mne-python/archive/main.zip
+To get the latest code using `git <https://git-scm.com/>`__, open a terminal and type:
+    $ git clone https://github.com/mne-tools/mne-python.git
+Alternatively, you can also download a
+`zip file of the latest development version <https://github.com/mne-tools/mne-python/archive/main.zip>`__.
+Dependencies
+^^^^^^^^^^^^
+The minimum required dependencies to run MNE-Python are:
+- Python >= 3.7
+- NumPy >= 1.18.1
+- SciPy >= 1.4.1
+- Matplotlib >= 3.1.0
+- pooch >= 1.5
+- tqdm
+- Jinja2
+- decorator
+For full functionality, some functions require:
+- Scikit-learn >= 0.22.0
+- joblib >= 0.15 (for parallelization control)
+- Numba >= 0.48.0
+- NiBabel >= 2.5.0
+- OpenMEEG >= 2.5.5
+- Pandas >= 1.0.0
+- Picard >= 0.3
+- CuPy >= 7.1.1 (for NVIDIA CUDA acceleration)
+- DIPY >= 1.1.0
+- Imageio >= 2.6.1
+- PyVista >= 0.32
+- pyvistaqt >= 0.4
+- mffpy >= 0.5.7
+- h5py
+- h5io
+- pymatreader
+Contributing to MNE-Python
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+Please see the documentation on the MNE-Python homepage:
+https://mne.tools/dev/install/contributing.html
+Forum
+^^^^^^
+https://mne.discourse.group
+Licensing
+^^^^^^^^^
+MNE-Python is **BSD-licenced** (BSD-3-Clause):
+    This software is OSI Certified Open Source Software.
+    OSI Certified is a certification mark of the Open Source Initiative.
+    Copyright (c) 2011-2022, authors of MNE-Python.
+    All rights reserved.
+    Redistribution and use in source and binary forms, with or without
+    modification, are permitted provided that the following conditions are met:
+    * Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright notice,
+      this list of conditions and the following disclaimer in the documentation
+      and/or other materials provided with the distribution.
+    * Neither the names of MNE-Python authors nor the names of any
+      contributors may be used to endorse or promote products derived from
+      this software without specific prior written permission.
+    **This software is provided by the copyright holders and contributors
+    "as is" and any express or implied warranties, including, but not
+    limited to, the implied warranties of merchantability and fitness for
+    a particular purpose are disclaimed. In no event shall the copyright
+    owner or contributors be liable for any direct, indirect, incidental,
+    special, exemplary, or consequential damages (including, but not
+    limited to, procurement of substitute goods or services; loss of use,
+    data, or profits; or business interruption) however caused and on any
+    theory of liability, whether in contract, strict liability, or tort
+    (including negligence or otherwise) arising in any way out of the use
+    of this software, even if advised of the possibility of such
+    damage.**
+
+%prep
+%autosetup -n mne-1.3.1
+
+%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-mne -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu Mar 09 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..b59d19e
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+fdd7a29a9a093b008c0568d8d812ab94  mne-1.3.1.tar.gz