automatic import of python-traxopeneuler20.03

1 files changed, 105 insertions, 0 deletions

diff --git a/python-trax.spec b/python-trax.spec
new file mode 100644
index 0000000..81718d1
--- /dev/null
+++ b/python-trax.spec
@@ -0,0 +1,105 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-trax
+Version:	1.4.1
+Release:	1
+Summary:	Trax
+License:	Apache 2.0
+URL:		http://github.com/google/trax
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/be/83/76fc44fda9be62e2a729b5d3181c88e5b496c754c5cc1674bea9f67fee5e/trax-1.4.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-absl-py
+Requires:	python3-funcsigs
+Requires:	python3-gin-config
+Requires:	python3-gym
+Requires:	python3-jax
+Requires:	python3-jaxlib
+Requires:	python3-matplotlib
+Requires:	python3-numpy
+Requires:	python3-psutil
+Requires:	python3-scipy
+Requires:	python3-six
+Requires:	python3-tensorflow-datasets
+Requires:	python3-tensorflow-text
+Requires:	python3-tensor2tensor
+Requires:	python3-t5
+Requires:	python3-tensorflow
+Requires:	python3-tensorflow-gpu
+Requires:	python3-attrs
+Requires:	python3-jupyter
+Requires:	python3-mock
+Requires:	python3-parameterized
+Requires:	python3-pylint
+Requires:	python3-pytest
+Requires:	python3-wrapt
+
+%description
+Trax helps you understand deep learning. We start with basic maths and go through layers, models, supervised and reinforcement learning. We get to advanced deep learning results, including recent papers and state-of-the-art models.
+
+
+
+
+%package -n python3-trax
+Summary:	Trax
+Provides:	python-trax
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-trax
+Trax helps you understand deep learning. We start with basic maths and go through layers, models, supervised and reinforcement learning. We get to advanced deep learning results, including recent papers and state-of-the-art models.
+
+
+
+
+%package help
+Summary:	Development documents and examples for trax
+Provides:	python3-trax-doc
+%description help
+Trax helps you understand deep learning. We start with basic maths and go through layers, models, supervised and reinforcement learning. We get to advanced deep learning results, including recent papers and state-of-the-art models.
+
+
+
+
+%prep
+%autosetup -n trax-1.4.1
+
+%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-trax -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.1-1
+- Package Spec generated