automatic import of python-objaxopeneuler20.03

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+/objax-1.7.0.tar.gz
diff --git a/python-objax.spec b/python-objax.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-objax
+Version:	1.7.0
+Release:	1
+Summary:	Objax is a machine learning framework that provides an Object Oriented layer for JAX.
+License:	Apache Software License
+URL:		https://github.com/google/objax
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/bb/4f/dc2af2b8dfa76997fa65b9b261a63edd8c92badad2a12155f77792c24b48/objax-1.7.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-scipy
+Requires:	python3-numpy
+Requires:	python3-pillow
+Requires:	python3-jaxlib
+Requires:	python3-jax
+Requires:	python3-tensorboard
+Requires:	python3-parameterized
+
+%description
+# Objax
+
+[**Tutorials**](https://objax.readthedocs.io/en/latest/notebooks/Objax_Basics.html)
+| [**Install**](https://objax.readthedocs.io/en/latest/installation_setup.html)
+| [**Documentation**](https://objax.readthedocs.io/en/latest/)
+| [**Philosophy**](https://objax.readthedocs.io/en/latest/index.html#objax-philosophy)
+
+This is not an officially supported Google product.
+
+Objax is an open source machine learning framework that accelerates research and learning thanks to a
+minimalist object-oriented design and a readable code base.
+Its name comes from the contraction of Object and [JAX](https://github.com/google/jax) -- a popular high-performance
+framework.
+Objax is designed **by researchers for researchers** with a focus on simplicity and understandability.
+Its users should be able to easily read, understand, extend, and modify it to fit their needs.
+
+This is the developer repository of Objax, there is very little user documentation
+here, for the full documentation go to [objax.readthedocs.io](https://objax.readthedocs.io/).
+
+You can find READMEs in the subdirectory of this project, for example:
+
+* [Sample Code](examples/README.md)
+* [Writing documentation](docs/README.md)
+
+
+## User installation guide
+
+You install Objax using `pip` as follows:
+
+```bash
+pip install --upgrade objax
+```
+
+Objax supports GPUs but assumes that you already have some version of CUDA
+installed. Here are the extra steps required to install CUDA-enabled jaxlib
+(jaxlib releases require CUDA 11.2 or newer):
+
+```bash
+RELEASE_URL="https://storage.googleapis.com/jax-releases/jax_cuda_releases.html"
+JAX_VERSION=`python3 -c 'import jax; print(jax.__version__)'`
+pip uninstall -y jaxlib
+pip install -f $RELEASE_URL jax[cuda]==$JAX_VERSION
+```
+
+For more installation options, see https://github.com/google/jax#pip-installation-gpu-cuda
+
+### Useful environment configurations
+
+Here are a few useful options:
+
+```bash
+# Prevent JAX from taking the whole GPU memory
+# (useful if you want to run several programs on a single GPU)
+export XLA_PYTHON_CLIENT_PREALLOCATE=false
+```
+
+### Testing your installation
+
+You can test your installation by running the code below:
+
+```python
+import jax
+import objax
+
+print(f'Number of GPUs {jax.device_count()}')
+
+x = objax.random.normal(shape=(100, 4))
+m = objax.nn.Linear(nin=4, nout=5)
+print('Matrix product shape', m(x).shape)  # (100, 5)
+
+x = objax.random.normal(shape=(100, 3, 32, 32))
+m = objax.nn.Conv2D(nin=3, nout=4, k=3)
+print('Conv2D return shape', m(x).shape)  # (100, 4, 32, 32)
+```
+
+Typically if you get errors running this using CUDA, it probably means your
+installation of CUDA or CuDNN has issues.
+
+### Runing code examples
+
+Clone the code repository:
+
+```bash
+git clone https://github.com/google/objax.git
+cd objax/examples
+```
+
+### Citing Objax
+
+To cite this repository:
+
+```
+@software{objax2020github,
+  author = {{Objax Developers}},
+  title = {{Objax}},
+  url = {https://github.com/google/objax},
+  version = {1.2.0},
+  year = {2020},
+}
+```
+
+## Developer documentation
+
+Here is information about
+[development setup](https://objax.readthedocs.io/en/latest/dev/setup.html)
+and a [guide on adding new code](https://objax.readthedocs.io/en/latest/dev/adding_module.html).
+
+
+%package -n python3-objax
+Summary:	Objax is a machine learning framework that provides an Object Oriented layer for JAX.
+Provides:	python-objax
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-objax
+# Objax
+
+[**Tutorials**](https://objax.readthedocs.io/en/latest/notebooks/Objax_Basics.html)
+| [**Install**](https://objax.readthedocs.io/en/latest/installation_setup.html)
+| [**Documentation**](https://objax.readthedocs.io/en/latest/)
+| [**Philosophy**](https://objax.readthedocs.io/en/latest/index.html#objax-philosophy)
+
+This is not an officially supported Google product.
+
+Objax is an open source machine learning framework that accelerates research and learning thanks to a
+minimalist object-oriented design and a readable code base.
+Its name comes from the contraction of Object and [JAX](https://github.com/google/jax) -- a popular high-performance
+framework.
+Objax is designed **by researchers for researchers** with a focus on simplicity and understandability.
+Its users should be able to easily read, understand, extend, and modify it to fit their needs.
+
+This is the developer repository of Objax, there is very little user documentation
+here, for the full documentation go to [objax.readthedocs.io](https://objax.readthedocs.io/).
+
+You can find READMEs in the subdirectory of this project, for example:
+
+* [Sample Code](examples/README.md)
+* [Writing documentation](docs/README.md)
+
+
+## User installation guide
+
+You install Objax using `pip` as follows:
+
+```bash
+pip install --upgrade objax
+```
+
+Objax supports GPUs but assumes that you already have some version of CUDA
+installed. Here are the extra steps required to install CUDA-enabled jaxlib
+(jaxlib releases require CUDA 11.2 or newer):
+
+```bash
+RELEASE_URL="https://storage.googleapis.com/jax-releases/jax_cuda_releases.html"
+JAX_VERSION=`python3 -c 'import jax; print(jax.__version__)'`
+pip uninstall -y jaxlib
+pip install -f $RELEASE_URL jax[cuda]==$JAX_VERSION
+```
+
+For more installation options, see https://github.com/google/jax#pip-installation-gpu-cuda
+
+### Useful environment configurations
+
+Here are a few useful options:
+
+```bash
+# Prevent JAX from taking the whole GPU memory
+# (useful if you want to run several programs on a single GPU)
+export XLA_PYTHON_CLIENT_PREALLOCATE=false
+```
+
+### Testing your installation
+
+You can test your installation by running the code below:
+
+```python
+import jax
+import objax
+
+print(f'Number of GPUs {jax.device_count()}')
+
+x = objax.random.normal(shape=(100, 4))
+m = objax.nn.Linear(nin=4, nout=5)
+print('Matrix product shape', m(x).shape)  # (100, 5)
+
+x = objax.random.normal(shape=(100, 3, 32, 32))
+m = objax.nn.Conv2D(nin=3, nout=4, k=3)
+print('Conv2D return shape', m(x).shape)  # (100, 4, 32, 32)
+```
+
+Typically if you get errors running this using CUDA, it probably means your
+installation of CUDA or CuDNN has issues.
+
+### Runing code examples
+
+Clone the code repository:
+
+```bash
+git clone https://github.com/google/objax.git
+cd objax/examples
+```
+
+### Citing Objax
+
+To cite this repository:
+
+```
+@software{objax2020github,
+  author = {{Objax Developers}},
+  title = {{Objax}},
+  url = {https://github.com/google/objax},
+  version = {1.2.0},
+  year = {2020},
+}
+```
+
+## Developer documentation
+
+Here is information about
+[development setup](https://objax.readthedocs.io/en/latest/dev/setup.html)
+and a [guide on adding new code](https://objax.readthedocs.io/en/latest/dev/adding_module.html).
+
+
+%package help
+Summary:	Development documents and examples for objax
+Provides:	python3-objax-doc
+%description help
+# Objax
+
+[**Tutorials**](https://objax.readthedocs.io/en/latest/notebooks/Objax_Basics.html)
+| [**Install**](https://objax.readthedocs.io/en/latest/installation_setup.html)
+| [**Documentation**](https://objax.readthedocs.io/en/latest/)
+| [**Philosophy**](https://objax.readthedocs.io/en/latest/index.html#objax-philosophy)
+
+This is not an officially supported Google product.
+
+Objax is an open source machine learning framework that accelerates research and learning thanks to a
+minimalist object-oriented design and a readable code base.
+Its name comes from the contraction of Object and [JAX](https://github.com/google/jax) -- a popular high-performance
+framework.
+Objax is designed **by researchers for researchers** with a focus on simplicity and understandability.
+Its users should be able to easily read, understand, extend, and modify it to fit their needs.
+
+This is the developer repository of Objax, there is very little user documentation
+here, for the full documentation go to [objax.readthedocs.io](https://objax.readthedocs.io/).
+
+You can find READMEs in the subdirectory of this project, for example:
+
+* [Sample Code](examples/README.md)
+* [Writing documentation](docs/README.md)
+
+
+## User installation guide
+
+You install Objax using `pip` as follows:
+
+```bash
+pip install --upgrade objax
+```
+
+Objax supports GPUs but assumes that you already have some version of CUDA
+installed. Here are the extra steps required to install CUDA-enabled jaxlib
+(jaxlib releases require CUDA 11.2 or newer):
+
+```bash
+RELEASE_URL="https://storage.googleapis.com/jax-releases/jax_cuda_releases.html"
+JAX_VERSION=`python3 -c 'import jax; print(jax.__version__)'`
+pip uninstall -y jaxlib
+pip install -f $RELEASE_URL jax[cuda]==$JAX_VERSION
+```
+
+For more installation options, see https://github.com/google/jax#pip-installation-gpu-cuda
+
+### Useful environment configurations
+
+Here are a few useful options:
+
+```bash
+# Prevent JAX from taking the whole GPU memory
+# (useful if you want to run several programs on a single GPU)
+export XLA_PYTHON_CLIENT_PREALLOCATE=false
+```
+
+### Testing your installation
+
+You can test your installation by running the code below:
+
+```python
+import jax
+import objax
+
+print(f'Number of GPUs {jax.device_count()}')
+
+x = objax.random.normal(shape=(100, 4))
+m = objax.nn.Linear(nin=4, nout=5)
+print('Matrix product shape', m(x).shape)  # (100, 5)
+
+x = objax.random.normal(shape=(100, 3, 32, 32))
+m = objax.nn.Conv2D(nin=3, nout=4, k=3)
+print('Conv2D return shape', m(x).shape)  # (100, 4, 32, 32)
+```
+
+Typically if you get errors running this using CUDA, it probably means your
+installation of CUDA or CuDNN has issues.
+
+### Runing code examples
+
+Clone the code repository:
+
+```bash
+git clone https://github.com/google/objax.git
+cd objax/examples
+```
+
+### Citing Objax
+
+To cite this repository:
+
+```
+@software{objax2020github,
+  author = {{Objax Developers}},
+  title = {{Objax}},
+  url = {https://github.com/google/objax},
+  version = {1.2.0},
+  year = {2020},
+}
+```
+
+## Developer documentation
+
+Here is information about
+[development setup](https://objax.readthedocs.io/en/latest/dev/setup.html)
+and a [guide on adding new code](https://objax.readthedocs.io/en/latest/dev/adding_module.html).
+
+
+%prep
+%autosetup -n objax-1.7.0
+
+%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-objax -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.0-1
+- Package Spec generated
diff --git a/sources b/sources
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@@ -0,0 +1 @@
+9460eda85d45d2da2a454ca55813058d  objax-1.7.0.tar.gz