# tree

**Repository Path**: mirrors_deepmind/tree

## Basic Information

- **Project Name**: tree
- **Description**: tree is a library for working with nested data structures
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-02-27
- **Last Updated**: 2025-09-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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.