automatic import of python-eslearn

3 files changed, 253 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..a4d569b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/eslearn-1.1.8.tar.gz
diff --git a/python-eslearn.spec b/python-eslearn.spec
new file mode 100644
index 0000000..f5e4a87
--- /dev/null
+++ b/python-eslearn.spec
@@ -0,0 +1,251 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-eslearn
+Version:	1.1.8
+Release:	1
+Summary:	This project is designed for machine learning in resting-state fMRI field
+License:	MIT License
+URL:		https://github.com/easylearn-fmri/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/da/4d/89928a9a4f6b425cbedbe4a58ec8634bc4ce8f990e98f9dba72d8c1a5185/eslearn-1.1.8.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-imbalanced-learn
+Requires:	python3-joblib
+Requires:	python3-requests
+Requires:	python3-matplotlib
+Requires:	python3-nibabel
+Requires:	python3-openpyxl
+Requires:	python3-xlrd
+Requires:	python3-pandas
+Requires:	python3-PyQt5
+Requires:	python3-PyQt5-sip
+Requires:	python3-dateutil
+Requires:	python3-scikit-learn
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-seaborn
+Requires:	python3-progressbar
+Requires:	python3-netron
+
+%description
+Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.  
+
+We focus on machine learning rather than data preprocessing. Many software, such as SPM, GRETNA, DPABI, REST, RESTPlus, CCS, FSL, Freesufer, nipy, nipype, nibabel, fmriprep and etc, can be used for data preprocessing.  
+
+# Citing information:
+If you think this software (or some function) is useful, citing the easylearn software in your paper or code would be greatly appreciated!
+Citing link: https://github.com/lichao312214129/easylearn 
+
+# Install  
+```
+pip install -U eslearn
+```
+
+# Usage
+```
+import eslearn as el
+el.run()
+```
+
+# Development    
+We hope you can join us!     
+> Email: lichao19870617@gmail.com  
+> Wechat: 13591648206  
+
+# Supervisors/Consultants 
+
+##### Ke Xu
+    kexu@vip.sina.com  
+    Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+    Department of Radiology, The First Affiliated Hospital of China Medical University.
+
+##### Yanqing Tang  
+    yanqingtang@163.com  
+    1 Brain Function Research Section, The First Affiliated Hospital of China Medical
+    University, Shenyang, Liaoning, PR China.  
+    2 Department of Psychiatry, The First Affiliated Hospital of China Medical University,
+    Shenyang, Liaoning, PR China.        
+    
+##### Yong He  
+    yong.he@bnu.edu.cn  
+    1 National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China  
+    2 Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China  
+    3 IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China 
+
+# Maintainers
+##### Chao Li
+    lichao19870617@gmail.com
+    Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+    
+##### Mengshi Dong
+    dongmengshi1990@163.com  
+    Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+
+
+
+
+%package -n python3-eslearn
+Summary:	This project is designed for machine learning in resting-state fMRI field
+Provides:	python-eslearn
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-eslearn
+Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.  
+
+We focus on machine learning rather than data preprocessing. Many software, such as SPM, GRETNA, DPABI, REST, RESTPlus, CCS, FSL, Freesufer, nipy, nipype, nibabel, fmriprep and etc, can be used for data preprocessing.  
+
+# Citing information:
+If you think this software (or some function) is useful, citing the easylearn software in your paper or code would be greatly appreciated!
+Citing link: https://github.com/lichao312214129/easylearn 
+
+# Install  
+```
+pip install -U eslearn
+```
+
+# Usage
+```
+import eslearn as el
+el.run()
+```
+
+# Development    
+We hope you can join us!     
+> Email: lichao19870617@gmail.com  
+> Wechat: 13591648206  
+
+# Supervisors/Consultants 
+
+##### Ke Xu
+    kexu@vip.sina.com  
+    Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+    Department of Radiology, The First Affiliated Hospital of China Medical University.
+
+##### Yanqing Tang  
+    yanqingtang@163.com  
+    1 Brain Function Research Section, The First Affiliated Hospital of China Medical
+    University, Shenyang, Liaoning, PR China.  
+    2 Department of Psychiatry, The First Affiliated Hospital of China Medical University,
+    Shenyang, Liaoning, PR China.        
+    
+##### Yong He  
+    yong.he@bnu.edu.cn  
+    1 National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China  
+    2 Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China  
+    3 IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China 
+
+# Maintainers
+##### Chao Li
+    lichao19870617@gmail.com
+    Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+    
+##### Mengshi Dong
+    dongmengshi1990@163.com  
+    Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+
+
+
+
+%package help
+Summary:	Development documents and examples for eslearn
+Provides:	python3-eslearn-doc
+%description help
+Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.  
+
+We focus on machine learning rather than data preprocessing. Many software, such as SPM, GRETNA, DPABI, REST, RESTPlus, CCS, FSL, Freesufer, nipy, nipype, nibabel, fmriprep and etc, can be used for data preprocessing.  
+
+# Citing information:
+If you think this software (or some function) is useful, citing the easylearn software in your paper or code would be greatly appreciated!
+Citing link: https://github.com/lichao312214129/easylearn 
+
+# Install  
+```
+pip install -U eslearn
+```
+
+# Usage
+```
+import eslearn as el
+el.run()
+```
+
+# Development    
+We hope you can join us!     
+> Email: lichao19870617@gmail.com  
+> Wechat: 13591648206  
+
+# Supervisors/Consultants 
+
+##### Ke Xu
+    kexu@vip.sina.com  
+    Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+    Department of Radiology, The First Affiliated Hospital of China Medical University.
+
+##### Yanqing Tang  
+    yanqingtang@163.com  
+    1 Brain Function Research Section, The First Affiliated Hospital of China Medical
+    University, Shenyang, Liaoning, PR China.  
+    2 Department of Psychiatry, The First Affiliated Hospital of China Medical University,
+    Shenyang, Liaoning, PR China.        
+    
+##### Yong He  
+    yong.he@bnu.edu.cn  
+    1 National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China  
+    2 Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China  
+    3 IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China 
+
+# Maintainers
+##### Chao Li
+    lichao19870617@gmail.com
+    Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+    
+##### Mengshi Dong
+    dongmengshi1990@163.com  
+    Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
+
+
+
+
+%prep
+%autosetup -n eslearn-1.1.8
+
+%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-eslearn -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.8-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..7263304
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+bcfd224fa49507ee9bbbb62fbb102a2d  eslearn-1.1.8.tar.gz