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ray

python-ray.spec

python-ray.spec 1.57 KB

Name:		python-ray
Version:	2.42.1
Release:	1%{?dist}
Summary:	Ray provides a simple, universal API for building distributed applications.
License:	Apache 2.0
URL:		https://github.com/ray-project/ray
Source0:	https://github.com/ray-project/ray/archive/refs/tags/ray-%{version}.tar.gz

%ifarch aarch64
Source1: bazel-6.5.0-linux-aarch64
%endif
%ifarch x86_64
Source1: bazel-6.5.0-linux-x86_64
%endif

Provides:	python-ray
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-wheel
BuildRequires:	python3-cffi
BuildRequires: python3-cython
BuildRequires:	gcc
BuildRequires:	gdb

%description
Today's ML workloads are increasingly compute-intensive. As convenient as they are, single-node development environments such as your laptop cannot scale to meet these demands.
Ray is a unified way to scale Python and AI applications from a laptop to a cluster.
With Ray, you can seamlessly scale the same code from a laptop to a cluster. Ray is designed to be general-purpose, meaning that it can performantly run any kind of workload. If your application is written in Python, you can scale it with Ray, no other infrastructure required.

%prep
%autosetup -n %{name}-%{version} -p1
mkdir ~/bin/
cp -a %{SOURCE1} ~/bin/bazel
chmod +x ~/bin/bazel

%build
cd python
bazel --version
%py3_build
cd -

%install
%py3_install

%clean
cd python
bazel clean --expunge
rm -rf ~/.cache/bazel

%files -n %{name}
%doc README.md
%lincense LICENSE
%{python3_sitelib}/*

%changelog
* Fri Feb 28 2025 Python_Bot <Python_Bot@openeuler.org> - 2.42.1-1
- Package Spec generated

一键复制编辑原始数据按行查看历史

xyn-coder 提交于 2025年02月28日 18:01 +08:00 . init ray-2.42.1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58

Name:		python-ray
Version:	2.42.1
Release:	1%{?dist}
Summary:	Ray provides a simple, universal API for building distributed applications.
License:	Apache 2.0
URL:		https://github.com/ray-project/ray
Source0:	https://github.com/ray-project/ray/archive/refs/tags/ray-%{version}.tar.gz

%ifarch aarch64
Source1: bazel-6.5.0-linux-aarch64
%endif
%ifarch x86_64
Source1: bazel-6.5.0-linux-x86_64
%endif

Provides:	python-ray
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-wheel
BuildRequires:	python3-cffi
BuildRequires: python3-cython
BuildRequires:	gcc
BuildRequires:	gdb

%description
Today's ML workloads are increasingly compute-intensive. As convenient as they are, single-node development environments such as your laptop cannot scale to meet these demands.
Ray is a unified way to scale Python and AI applications from a laptop to a cluster.
With Ray, you can seamlessly scale the same code from a laptop to a cluster. Ray is designed to be general-purpose, meaning that it can performantly run any kind of workload. If your application is written in Python, you can scale it with Ray, no other infrastructure required.

%prep
%autosetup -n %{name}-%{version} -p1
mkdir ~/bin/
cp -a %{SOURCE1} ~/bin/bazel
chmod +x ~/bin/bazel

%build
cd python
bazel --version
%py3_build
cd -

%install
%py3_install

%clean
cd python
bazel clean --expunge
rm -rf ~/.cache/bazel

%files -n %{name}
%doc README.md
%lincense LICENSE
%{python3_sitelib}/*

%changelog
* Fri Feb 28 2025 Python_Bot <Python_Bot@openeuler.org> - 2.42.1-1
- Package Spec generated