automatic import of python-mnistopeneuler20.03

3 files changed, 142 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..93c0d6d 100644
--- a/.gitignore
+++ b/.gitignore
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+/mnist-0.2.2.tar.gz
diff --git a/python-mnist.spec b/python-mnist.spec
new file mode 100644
index 0000000..8044e24
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+++ b/python-mnist.spec
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+%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 <Python_Bot@openeuler.org> - 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