%global _empty_manifest_terminate_build 0 Name: python-mnist Version: 0.2.2 Release: 1 Summary: Python utilities to download and parse the MNIST dataset License: BSD URL: https://github.com/datapythonista/mnist Source0: https://mirrors.nju.edu.cn/pypi/web/packages/85/2f/2fe28e6a2e5053e7fd14084b76cf7b8bb5935c5ecb78618646ed692d70b0/mnist-0.2.2.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-mock %description The MNIST database is available at http://yann.lecun.com/exdb/mnist/ The MNIST database is a dataset of handwritten digits. It has 60,000 training samples, and 10,000 test samples. Each image is represented by 28x28 pixels, each containing a value 0 - 255 with its grayscale value. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. There are four files available, which contain separately train and test, and images and labels. Thanks to Yann LeCun, Corinna Cortes, Christopher J.C. Burges. mnist makes it easier to download and parse MNIST files. %package -n python3-mnist Summary: Python utilities to download and parse the MNIST dataset Provides: python-mnist BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-mnist The MNIST database is available at http://yann.lecun.com/exdb/mnist/ The MNIST database is a dataset of handwritten digits. It has 60,000 training samples, and 10,000 test samples. Each image is represented by 28x28 pixels, each containing a value 0 - 255 with its grayscale value. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. There are four files available, which contain separately train and test, and images and labels. Thanks to Yann LeCun, Corinna Cortes, Christopher J.C. Burges. mnist makes it easier to download and parse MNIST files. %package help Summary: Development documents and examples for mnist Provides: python3-mnist-doc %description help The MNIST database is available at http://yann.lecun.com/exdb/mnist/ The MNIST database is a dataset of handwritten digits. It has 60,000 training samples, and 10,000 test samples. Each image is represented by 28x28 pixels, each containing a value 0 - 255 with its grayscale value. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. There are four files available, which contain separately train and test, and images and labels. Thanks to Yann LeCun, Corinna Cortes, Christopher J.C. Burges. mnist makes it easier to download and parse MNIST files. %prep %autosetup -n mnist-0.2.2 %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-mnist -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.2.2-1 - Package Spec generated