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+%global _empty_manifest_terminate_build 0
+Name:		python-control-scnu
+Version:	0.8.6
+Release:	1
+Summary:	The code package for HuaGuang AI Education
+License:	MIT License
+URL:		https://github.com/pypa/sampleproject
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/be/2e/332cdac2c8242f5ec48c00f478f896cdf10fbbf250dd6a67dfdec069bc10/control_scnu-0.8.6.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-baidu-aip
+Requires:	python3-certifi
+Requires:	python3-charset-normalizer
+Requires:	python3-future
+Requires:	python3-idna
+Requires:	python3-iso8601
+Requires:	python3-joblib
+Requires:	python3-numpy
+Requires:	python3-opencv-contrib-python
+Requires:	python3-opencv-python
+Requires:	python3-Pillow
+Requires:	python3-pygame
+Requires:	python3-pyzbar
+Requires:	python3-redis
+Requires:	python3-requests
+Requires:	python3-scikit-learn
+Requires:	python3-scipy
+Requires:	python3-threadpoolctl
+Requires:	python3-urllib3
+Requires:	python3-pandas
+Requires:	python3-cvzone
+Requires:	python3-imutils
+Requires:	python3-websocket
+Requires:	python3-websocket-client
+Requires:	python3-protobuf
+Requires:	python3-pyttsx3
+Requires:	python3-wordcloud
+Requires:	python3-jieba
+Requires:	python3-py7zr
+Requires:	python3-tqdm
+Requires:	python3-browser-cookie3
+
+%description
+English | [简体中文](README_cn.md)
+- [0.control_scnu](#0control_scnu)
+- [1.Install control](#1install-control)
+- [2.Each corresponding file description](#2each-corresponding-file-description)
+  - [template](#template)
+  - [_init_.py](#initpy)
+  - [file_operation.py](#file_operationpy)
+  - [gpio.py](#gpiopy)
+  - [jiami.py](#jiamipy)
+  - [machine_learning.py](#machine_learningpy)
+  - [maths.py](#mathspy)
+  - [requirements.txt](#requirementstxt)
+  - [shijue (shijue0,shijue1,shijue2)](#shijue-shijue0shijue1shijue2)
+  - [unique.py](#uniquepy)
+  - [yuyin.py](#yuyinpy)
+# 0.control_scnu
+The library was developed for Huaguang AI Education Innovation Team [Case Department]    
+Applicable to artificial intelligence education
+
+# 1.Install control
+```python
+pip3 install control-scnu
+```
+
+# 2.Each corresponding file description
+## template
+Where the various model files are saved
+
+## _init_.py
+The init file  
+The version information of the software, programming block and library is indicated in this file
+
+## file_operation.py
+File manipulation related libraries
+
+## gpio.py
+Car hardware related library 
+The car forward routine (This item needs to run on the car):
+```
+from control import gpio
+import time
+
+m=gpio.Mecanum_wheel()
+m.uart_init()
+m.car_go(200)
+time.sleep(2)
+m.car_stop()
+```
+
+## jiami.py
+A library for encrypted files
+
+## machine_learning.py
+Library for machine learning    
+Iris machine learning routine:
+```
+from control import machine_learning as ml
+
+datasets=ml.DatasetsNew(ml.data_name["鸢尾花"])
+model= ml.ModelNew(ml.model_name['神经网络'])
+model.train(datasets.x_train, datasets.y_train,dataName=datasets.data_name)
+model.test(datasets.x_test,datasets.y_test)
+print(model.test_score,flush=True)
+model.predict(datasets.x_test)
+print(model.pred,flush=True)
+model.save(name='myFirstModel')
+model1=ml.ModelNew('myFirstModel.proto')
+model1.test(datasets.x_test,datasets.y_test)
+print(model.pred,flush=True)
+```
+
+## maths.py
+Library related to basic mathematics
+
+## requirements.txt
+Library dependent TXT file
+
+## shijue (shijue0,shijue1,shijue2)
+Visual related libraries   
+The camera obtains the image and binarizes the display routine:
+```
+from control import shijue1
+
+a=shijue1.Img()
+a.camera(0)
+a.name_windows('img')
+while  True:
+    a.get_img()
+    a.BGR2GRAY()
+    a.GRAY2BIN()
+    a.show_image('img')
+    a.delay(1)
+```
+
+## unique.py
+Put something special in it
+
+## yuyin.py
+Speech correlation library    
+Routines for speech recognition and retelling:
+```
+from control import yuyin
+
+s=yuyin.Yuyin(online=True) 
+s.my_record(3,"speech")   
+print(s.stt("speech"),flush=True)  
+s.play_txt(s.stt("speech"))  
+
+
+
+
+%package -n python3-control-scnu
+Summary:	The code package for HuaGuang AI Education
+Provides:	python-control-scnu
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-control-scnu
+English | [简体中文](README_cn.md)
+- [0.control_scnu](#0control_scnu)
+- [1.Install control](#1install-control)
+- [2.Each corresponding file description](#2each-corresponding-file-description)
+  - [template](#template)
+  - [_init_.py](#initpy)
+  - [file_operation.py](#file_operationpy)
+  - [gpio.py](#gpiopy)
+  - [jiami.py](#jiamipy)
+  - [machine_learning.py](#machine_learningpy)
+  - [maths.py](#mathspy)
+  - [requirements.txt](#requirementstxt)
+  - [shijue (shijue0,shijue1,shijue2)](#shijue-shijue0shijue1shijue2)
+  - [unique.py](#uniquepy)
+  - [yuyin.py](#yuyinpy)
+# 0.control_scnu
+The library was developed for Huaguang AI Education Innovation Team [Case Department]    
+Applicable to artificial intelligence education
+
+# 1.Install control
+```python
+pip3 install control-scnu
+```
+
+# 2.Each corresponding file description
+## template
+Where the various model files are saved
+
+## _init_.py
+The init file  
+The version information of the software, programming block and library is indicated in this file
+
+## file_operation.py
+File manipulation related libraries
+
+## gpio.py
+Car hardware related library 
+The car forward routine (This item needs to run on the car):
+```
+from control import gpio
+import time
+
+m=gpio.Mecanum_wheel()
+m.uart_init()
+m.car_go(200)
+time.sleep(2)
+m.car_stop()
+```
+
+## jiami.py
+A library for encrypted files
+
+## machine_learning.py
+Library for machine learning    
+Iris machine learning routine:
+```
+from control import machine_learning as ml
+
+datasets=ml.DatasetsNew(ml.data_name["鸢尾花"])
+model= ml.ModelNew(ml.model_name['神经网络'])
+model.train(datasets.x_train, datasets.y_train,dataName=datasets.data_name)
+model.test(datasets.x_test,datasets.y_test)
+print(model.test_score,flush=True)
+model.predict(datasets.x_test)
+print(model.pred,flush=True)
+model.save(name='myFirstModel')
+model1=ml.ModelNew('myFirstModel.proto')
+model1.test(datasets.x_test,datasets.y_test)
+print(model.pred,flush=True)
+```
+
+## maths.py
+Library related to basic mathematics
+
+## requirements.txt
+Library dependent TXT file
+
+## shijue (shijue0,shijue1,shijue2)
+Visual related libraries   
+The camera obtains the image and binarizes the display routine:
+```
+from control import shijue1
+
+a=shijue1.Img()
+a.camera(0)
+a.name_windows('img')
+while  True:
+    a.get_img()
+    a.BGR2GRAY()
+    a.GRAY2BIN()
+    a.show_image('img')
+    a.delay(1)
+```
+
+## unique.py
+Put something special in it
+
+## yuyin.py
+Speech correlation library    
+Routines for speech recognition and retelling:
+```
+from control import yuyin
+
+s=yuyin.Yuyin(online=True) 
+s.my_record(3,"speech")   
+print(s.stt("speech"),flush=True)  
+s.play_txt(s.stt("speech"))  
+
+
+
+
+%package help
+Summary:	Development documents and examples for control-scnu
+Provides:	python3-control-scnu-doc
+%description help
+English | [简体中文](README_cn.md)
+- [0.control_scnu](#0control_scnu)
+- [1.Install control](#1install-control)
+- [2.Each corresponding file description](#2each-corresponding-file-description)
+  - [template](#template)
+  - [_init_.py](#initpy)
+  - [file_operation.py](#file_operationpy)
+  - [gpio.py](#gpiopy)
+  - [jiami.py](#jiamipy)
+  - [machine_learning.py](#machine_learningpy)
+  - [maths.py](#mathspy)
+  - [requirements.txt](#requirementstxt)
+  - [shijue (shijue0,shijue1,shijue2)](#shijue-shijue0shijue1shijue2)
+  - [unique.py](#uniquepy)
+  - [yuyin.py](#yuyinpy)
+# 0.control_scnu
+The library was developed for Huaguang AI Education Innovation Team [Case Department]    
+Applicable to artificial intelligence education
+
+# 1.Install control
+```python
+pip3 install control-scnu
+```
+
+# 2.Each corresponding file description
+## template
+Where the various model files are saved
+
+## _init_.py
+The init file  
+The version information of the software, programming block and library is indicated in this file
+
+## file_operation.py
+File manipulation related libraries
+
+## gpio.py
+Car hardware related library 
+The car forward routine (This item needs to run on the car):
+```
+from control import gpio
+import time
+
+m=gpio.Mecanum_wheel()
+m.uart_init()
+m.car_go(200)
+time.sleep(2)
+m.car_stop()
+```
+
+## jiami.py
+A library for encrypted files
+
+## machine_learning.py
+Library for machine learning    
+Iris machine learning routine:
+```
+from control import machine_learning as ml
+
+datasets=ml.DatasetsNew(ml.data_name["鸢尾花"])
+model= ml.ModelNew(ml.model_name['神经网络'])
+model.train(datasets.x_train, datasets.y_train,dataName=datasets.data_name)
+model.test(datasets.x_test,datasets.y_test)
+print(model.test_score,flush=True)
+model.predict(datasets.x_test)
+print(model.pred,flush=True)
+model.save(name='myFirstModel')
+model1=ml.ModelNew('myFirstModel.proto')
+model1.test(datasets.x_test,datasets.y_test)
+print(model.pred,flush=True)
+```
+
+## maths.py
+Library related to basic mathematics
+
+## requirements.txt
+Library dependent TXT file
+
+## shijue (shijue0,shijue1,shijue2)
+Visual related libraries   
+The camera obtains the image and binarizes the display routine:
+```
+from control import shijue1
+
+a=shijue1.Img()
+a.camera(0)
+a.name_windows('img')
+while  True:
+    a.get_img()
+    a.BGR2GRAY()
+    a.GRAY2BIN()
+    a.show_image('img')
+    a.delay(1)
+```
+
+## unique.py
+Put something special in it
+
+## yuyin.py
+Speech correlation library    
+Routines for speech recognition and retelling:
+```
+from control import yuyin
+
+s=yuyin.Yuyin(online=True) 
+s.my_record(3,"speech")   
+print(s.stt("speech"),flush=True)  
+s.play_txt(s.stt("speech"))  
+
+
+
+
+%prep
+%autosetup -n control-scnu-0.8.6
+
+%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-control-scnu -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.6-1
+- Package Spec generated