%global _empty_manifest_terminate_build 0 Name: python-nndesigndemos Version: 1.0.2 Release: 1 Summary: Demos for the Neural Network Design & Deep Learning books License: MIT URL: https://hagan.okstate.edu/nnd.html Source0: https://mirrors.aliyun.com/pypi/web/packages/54/e9/2d8ca6c983052d00eb5916a19cb50b3e4996b5f7f8cefb07628a50f55102/nndesigndemos-1.0.2.tar.gz BuildArch: noarch Requires: python3-PyQt5 Requires: python3-numpy Requires: python3-scipy Requires: python3-matplotlib %description # nndesigndemos This is a set of demonstrations paired with the [Neural Network Design](https://hagan.okstate.edu/nnd.html) & Neural Network Design: Deep Learning books written in Python. ## Installation nndesigndemos is supported on macOS, Linux and Windows. It uses PyQt5, so your OS version needs to be compatible with it. If you get an installation error, this is most likely the reason. ### Installing via pip The quick way is simply to install via `pip install nndesigndemos`, which works in most cases. The recommended way is to create a virtual environment to avoid dependency issues. Here is an easy way to do so: ``` python3 -m venv env source env/bin/activate # macOS/Linux env\Scripts\activate.bat # Windows pip install nndesigndemos ``` To deactivate the virtual environment, just type `deactivate`. ## Usage All the demos start from the same main menu, which can be accessed by entering the Python Shell and running ``` from nndesigndemos import nndtoc nndtoc() ``` After doing so, a window will pop up, and you will be able to navigate the demos listed by book and then by chapter. There are some demos that have sound, so if you want to mute them just run `nndtoc(play_sound=False)` instead. The original software for these demos runs on MATLAB, so for every section of the [Neural Network Design](https://hagan.okstate.edu/NNDesign.pdf) book where you see the MATLAB logo, there will be a corresponding Python demo in this package. The second book is in progress. If you are using multiple monitors and switching between them, you may need to restart your computer to avoid scaling issues. ## Dependencies These are the packages needed to run all the demos. These specific versions are known to work, but this does not mean older or newer versions will cause any issues. - Python 3.5+ - PyQt5 5.14.1 - NumPy 1.18.1 - SciPy 1.4.1 - Matplotlib 3.1.2 ## License nndesigndemos is available under MIT license. %package -n python3-nndesigndemos Summary: Demos for the Neural Network Design & Deep Learning books Provides: python-nndesigndemos BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-nndesigndemos # nndesigndemos This is a set of demonstrations paired with the [Neural Network Design](https://hagan.okstate.edu/nnd.html) & Neural Network Design: Deep Learning books written in Python. ## Installation nndesigndemos is supported on macOS, Linux and Windows. It uses PyQt5, so your OS version needs to be compatible with it. If you get an installation error, this is most likely the reason. ### Installing via pip The quick way is simply to install via `pip install nndesigndemos`, which works in most cases. The recommended way is to create a virtual environment to avoid dependency issues. Here is an easy way to do so: ``` python3 -m venv env source env/bin/activate # macOS/Linux env\Scripts\activate.bat # Windows pip install nndesigndemos ``` To deactivate the virtual environment, just type `deactivate`. ## Usage All the demos start from the same main menu, which can be accessed by entering the Python Shell and running ``` from nndesigndemos import nndtoc nndtoc() ``` After doing so, a window will pop up, and you will be able to navigate the demos listed by book and then by chapter. There are some demos that have sound, so if you want to mute them just run `nndtoc(play_sound=False)` instead. The original software for these demos runs on MATLAB, so for every section of the [Neural Network Design](https://hagan.okstate.edu/NNDesign.pdf) book where you see the MATLAB logo, there will be a corresponding Python demo in this package. The second book is in progress. If you are using multiple monitors and switching between them, you may need to restart your computer to avoid scaling issues. ## Dependencies These are the packages needed to run all the demos. These specific versions are known to work, but this does not mean older or newer versions will cause any issues. - Python 3.5+ - PyQt5 5.14.1 - NumPy 1.18.1 - SciPy 1.4.1 - Matplotlib 3.1.2 ## License nndesigndemos is available under MIT license. %package help Summary: Development documents and examples for nndesigndemos Provides: python3-nndesigndemos-doc %description help # nndesigndemos This is a set of demonstrations paired with the [Neural Network Design](https://hagan.okstate.edu/nnd.html) & Neural Network Design: Deep Learning books written in Python. ## Installation nndesigndemos is supported on macOS, Linux and Windows. It uses PyQt5, so your OS version needs to be compatible with it. If you get an installation error, this is most likely the reason. ### Installing via pip The quick way is simply to install via `pip install nndesigndemos`, which works in most cases. The recommended way is to create a virtual environment to avoid dependency issues. Here is an easy way to do so: ``` python3 -m venv env source env/bin/activate # macOS/Linux env\Scripts\activate.bat # Windows pip install nndesigndemos ``` To deactivate the virtual environment, just type `deactivate`. ## Usage All the demos start from the same main menu, which can be accessed by entering the Python Shell and running ``` from nndesigndemos import nndtoc nndtoc() ``` After doing so, a window will pop up, and you will be able to navigate the demos listed by book and then by chapter. There are some demos that have sound, so if you want to mute them just run `nndtoc(play_sound=False)` instead. The original software for these demos runs on MATLAB, so for every section of the [Neural Network Design](https://hagan.okstate.edu/NNDesign.pdf) book where you see the MATLAB logo, there will be a corresponding Python demo in this package. The second book is in progress. If you are using multiple monitors and switching between them, you may need to restart your computer to avoid scaling issues. ## Dependencies These are the packages needed to run all the demos. These specific versions are known to work, but this does not mean older or newer versions will cause any issues. - Python 3.5+ - PyQt5 5.14.1 - NumPy 1.18.1 - SciPy 1.4.1 - Matplotlib 3.1.2 ## License nndesigndemos is available under MIT license. %prep %autosetup -n nndesigndemos-1.0.2 %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-nndesigndemos -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 1.0.2-1 - Package Spec generated