From 39d7844f335276b9af1bcfbe5a435301e07e01e9 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 08:21:10 +0000 Subject: automatic import of python-mnist --- .gitignore | 1 + python-mnist.spec | 140 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 142 insertions(+) create mode 100644 python-mnist.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..93c0d6d 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/mnist-0.2.2.tar.gz diff --git a/python-mnist.spec b/python-mnist.spec new file mode 100644 index 0000000..8044e24 --- /dev/null +++ b/python-mnist.spec @@ -0,0 +1,140 @@ +%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 diff --git a/sources b/sources new file mode 100644 index 0000000..869427f --- /dev/null +++ b/sources @@ -0,0 +1 @@ +317fb25ad90c9d52001083cfc54639a3 mnist-0.2.2.tar.gz -- cgit v1.2.3