From a160069ac6c0b2c97a92fb57e7c63cef5b7fa689 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Mon, 15 May 2023 09:24:09 +0000 Subject: automatic import of python-control-scnu --- .gitignore | 1 + python-control-scnu.spec | 430 +++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 432 insertions(+) create mode 100644 python-control-scnu.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..609e062 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/control_scnu-0.8.6.tar.gz diff --git a/python-control-scnu.spec b/python-control-scnu.spec new file mode 100644 index 0000000..f0b52c3 --- /dev/null +++ b/python-control-scnu.spec @@ -0,0 +1,430 @@ +%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 - 0.8.6-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..14e79db --- /dev/null +++ b/sources @@ -0,0 +1 @@ +10ebd4a17ba6d239cdb83784a276c2c8 control_scnu-0.8.6.tar.gz -- cgit v1.2.3