automatic import of python-gpuinfoopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/gpuinfo-1.0.0a7.tar.gz
diff --git a/python-gpuinfo.spec b/python-gpuinfo.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-gpuinfo
+Version:	1.0.0a7
+Release:	1
+Summary:	A quick access to nvidia gpu information
+License:	MIT License
+URL:		https://pypi.org/project/gpuinfo/
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/03/94/0d99b8b788cd770cbd85f9324d874208c350f6c6d91596374a612ae558d3/gpuinfo-1.0.0a7.tar.gz
+BuildArch:	noarch
+
+
+%description
+# gpuinfo
+
+I implement some functions that can help users to obtain nvidia gpu information.
+
+To use gpuinfo, you need to be able to run 'ps' and 'nvidia-smi' in your terminal. 
+
+# Install with pip
+```
+pip install gpuinfo
+```  
+I only tested on linux system with python3.
+https://pypi.org/project/gpuinfo/
+
+# Usage
+
+```python
+from gpuinfo import GPUInfo
+```
+
+GPUInfo has the following functions:
+
+    get_users(gpu_id)
+        return a dict. show every user and memory on a certain gpu 
+
+    check_empty()
+        check_empty()
+        return a list containing all GPU ids that no process is using currently.
+
+    get_info()
+        pid_list,percent,memory,gpu_used=get_info()
+        return a dict and three lists. pid_list has pids as keys and gpu ids as values, showing which gpu the process is using
+
+    get_user(pid)
+        get_user(pid)
+        Input a pid number , return its creator by linux command ps
+
+    gpu_usage()
+        gpu_usage()
+        return two lists. The first list contains usage percent of every GPU. The second list contains the memory used of every GPU. The information is obtained by command 'nvidia-smi'
+
+# Example
+
+```python
+from gpuinfo import GPUInfo
+
+available_device=GPUInfo.check_empty()
+#available_device就是一个含有所有没有任务的gpu编号的列表
+percent,memory=GPUInfo.gpu_usage()
+#获得所有gpu的使用百分比和显存占用量
+min_percent=percent.index(min([percent[i] for i in available_device]))
+#未被使用的gpu里percent最小的
+min_memory=memory.index(min([memory[i] for i in available_device]))
+#未被使用的gpu里显存占用量最少的
+
+#如果你使用pytorch
+torch.cuda.set_device(min_percent) 或者(min_memory)
+```
+
+
+
+
+%package -n python3-gpuinfo
+Summary:	A quick access to nvidia gpu information
+Provides:	python-gpuinfo
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-gpuinfo
+# gpuinfo
+
+I implement some functions that can help users to obtain nvidia gpu information.
+
+To use gpuinfo, you need to be able to run 'ps' and 'nvidia-smi' in your terminal. 
+
+# Install with pip
+```
+pip install gpuinfo
+```  
+I only tested on linux system with python3.
+https://pypi.org/project/gpuinfo/
+
+# Usage
+
+```python
+from gpuinfo import GPUInfo
+```
+
+GPUInfo has the following functions:
+
+    get_users(gpu_id)
+        return a dict. show every user and memory on a certain gpu 
+
+    check_empty()
+        check_empty()
+        return a list containing all GPU ids that no process is using currently.
+
+    get_info()
+        pid_list,percent,memory,gpu_used=get_info()
+        return a dict and three lists. pid_list has pids as keys and gpu ids as values, showing which gpu the process is using
+
+    get_user(pid)
+        get_user(pid)
+        Input a pid number , return its creator by linux command ps
+
+    gpu_usage()
+        gpu_usage()
+        return two lists. The first list contains usage percent of every GPU. The second list contains the memory used of every GPU. The information is obtained by command 'nvidia-smi'
+
+# Example
+
+```python
+from gpuinfo import GPUInfo
+
+available_device=GPUInfo.check_empty()
+#available_device就是一个含有所有没有任务的gpu编号的列表
+percent,memory=GPUInfo.gpu_usage()
+#获得所有gpu的使用百分比和显存占用量
+min_percent=percent.index(min([percent[i] for i in available_device]))
+#未被使用的gpu里percent最小的
+min_memory=memory.index(min([memory[i] for i in available_device]))
+#未被使用的gpu里显存占用量最少的
+
+#如果你使用pytorch
+torch.cuda.set_device(min_percent) 或者(min_memory)
+```
+
+
+
+
+%package help
+Summary:	Development documents and examples for gpuinfo
+Provides:	python3-gpuinfo-doc
+%description help
+# gpuinfo
+
+I implement some functions that can help users to obtain nvidia gpu information.
+
+To use gpuinfo, you need to be able to run 'ps' and 'nvidia-smi' in your terminal. 
+
+# Install with pip
+```
+pip install gpuinfo
+```  
+I only tested on linux system with python3.
+https://pypi.org/project/gpuinfo/
+
+# Usage
+
+```python
+from gpuinfo import GPUInfo
+```
+
+GPUInfo has the following functions:
+
+    get_users(gpu_id)
+        return a dict. show every user and memory on a certain gpu 
+
+    check_empty()
+        check_empty()
+        return a list containing all GPU ids that no process is using currently.
+
+    get_info()
+        pid_list,percent,memory,gpu_used=get_info()
+        return a dict and three lists. pid_list has pids as keys and gpu ids as values, showing which gpu the process is using
+
+    get_user(pid)
+        get_user(pid)
+        Input a pid number , return its creator by linux command ps
+
+    gpu_usage()
+        gpu_usage()
+        return two lists. The first list contains usage percent of every GPU. The second list contains the memory used of every GPU. The information is obtained by command 'nvidia-smi'
+
+# Example
+
+```python
+from gpuinfo import GPUInfo
+
+available_device=GPUInfo.check_empty()
+#available_device就是一个含有所有没有任务的gpu编号的列表
+percent,memory=GPUInfo.gpu_usage()
+#获得所有gpu的使用百分比和显存占用量
+min_percent=percent.index(min([percent[i] for i in available_device]))
+#未被使用的gpu里percent最小的
+min_memory=memory.index(min([memory[i] for i in available_device]))
+#未被使用的gpu里显存占用量最少的
+
+#如果你使用pytorch
+torch.cuda.set_device(min_percent) 或者(min_memory)
+```
+
+
+
+
+%prep
+%autosetup -n gpuinfo-1.0.0a7
+
+%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-gpuinfo -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.0a7-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..e9d86e3
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+f10418f11882f80b75dfb10bcfa0b051  gpuinfo-1.0.0a7.tar.gz