%global _empty_manifest_terminate_build 0
Name:		python-dm-tree
Version:	0.1.8
Release:	1
Summary:	Tree is a library for working with nested data structures.
License:	Apache 2.0
URL:		https://github.com/deepmind/tree
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/f8/6d/f1997aac42e0f550c1e952a0b920eaa0bfc4d27d0421499881b934b969fc/dm-tree-0.1.8.tar.gz


%description
# Tree

`tree` is a library for working with nested data structures. In a way, `tree`
generalizes the builtin `map` function which only supports flat sequences,
and allows to apply a function to each "leaf" preserving the overall
structure.

```python
>>> import tree
>>> structure = [[1], [[[2, 3]]], [4]]
>>> tree.flatten(structure)
[1, 2, 3, 4]
>>> tree.map_structure(lambda v: v**2, structure)
[[1], [[[4, 9]]], [16]]
```

`tree` is backed by an optimized C++ implementation suitable for use in
demanding applications, such as machine learning models.

## Installation

From PyPI:

```shell
$ pip install dm-tree
```

Directly from github using pip:

```shell
$ pip install git+git://github.com/deepmind/tree.git
```

Build from source:

```shell
$ python setup.py install
```

## Support

If you are having issues, please let us know by filing an issue on our
[issue tracker](https://github.com/deepmind/tree/issues).

## License

The project is licensed under the Apache 2.0 license.


%package -n python3-dm-tree
Summary:	Tree is a library for working with nested data structures.
Provides:	python-dm-tree
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-dm-tree
# Tree

`tree` is a library for working with nested data structures. In a way, `tree`
generalizes the builtin `map` function which only supports flat sequences,
and allows to apply a function to each "leaf" preserving the overall
structure.

```python
>>> import tree
>>> structure = [[1], [[[2, 3]]], [4]]
>>> tree.flatten(structure)
[1, 2, 3, 4]
>>> tree.map_structure(lambda v: v**2, structure)
[[1], [[[4, 9]]], [16]]
```

`tree` is backed by an optimized C++ implementation suitable for use in
demanding applications, such as machine learning models.

## Installation

From PyPI:

```shell
$ pip install dm-tree
```

Directly from github using pip:

```shell
$ pip install git+git://github.com/deepmind/tree.git
```

Build from source:

```shell
$ python setup.py install
```

## Support

If you are having issues, please let us know by filing an issue on our
[issue tracker](https://github.com/deepmind/tree/issues).

## License

The project is licensed under the Apache 2.0 license.


%package help
Summary:	Development documents and examples for dm-tree
Provides:	python3-dm-tree-doc
%description help
# Tree

`tree` is a library for working with nested data structures. In a way, `tree`
generalizes the builtin `map` function which only supports flat sequences,
and allows to apply a function to each "leaf" preserving the overall
structure.

```python
>>> import tree
>>> structure = [[1], [[[2, 3]]], [4]]
>>> tree.flatten(structure)
[1, 2, 3, 4]
>>> tree.map_structure(lambda v: v**2, structure)
[[1], [[[4, 9]]], [16]]
```

`tree` is backed by an optimized C++ implementation suitable for use in
demanding applications, such as machine learning models.

## Installation

From PyPI:

```shell
$ pip install dm-tree
```

Directly from github using pip:

```shell
$ pip install git+git://github.com/deepmind/tree.git
```

Build from source:

```shell
$ python setup.py install
```

## Support

If you are having issues, please let us know by filing an issue on our
[issue tracker](https://github.com/deepmind/tree/issues).

## License

The project is licensed under the Apache 2.0 license.


%prep
%autosetup -n dm-tree-0.1.8

%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-dm-tree -f filelist.lst
%dir %{python3_sitearch}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.8-1
- Package Spec generated